Full text of Employment and Earnings : October 2000
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U.S. Department of Labor Bureau of Labor Statistics October 2000 In this issue: Third quarter 2000 averages for household survey data Alexis M. Herman, Secretary October 2000 Vol. 47 No. 10 BUREAU Ol" LABOR STATISTICS Katharine G. Abraham, Commissioner Calendar of Features U.S. DEPARTMENT OF LABOR Employment & Earnings (ISSN 0013-6840; USPS 485-010). is published monthly and prepared in the Office of Employment and Unemployment Statistics in collaboration with the Office of Publications. The data are collected by the Bureau of the Census (Department of Commerce) and State employment security agencies, in cooperation with the Bureau of Labor Statistics. The State agencies are listed on the inside back cover. Employment & Earnings may be ordered from: New Orders, Superintendent of Documents, P.O. Box 371954, Pittsburgh, PA 15250-7954. Phone (202) 512-1800. Subscription price per year $40 domestic and $50 foreign. Single copy $16 domestic and $20 foreign. Prices are subject to change by the U.S. Government Printing Office. Correspondence concerning subscriptions, including address changes and missing issues, should be sent to the Superintendent of Documents. U.S. Government Printing Office, Washington, DC 20402. Phone (202) 512-1800. POSTMASTER: Send address changes to Employment & Earnings, U.S. Government Printing Office, Washington, DC 20402. Communications on material in this publication should be addressed to: Editors, Employment & Earnings. Bureau of Labor Statistics, Washington, DC 20212. Specific questions concerning the data in this publication, or their availability, should be directed as follows: Household data: Telephone: (202) 691-6378 E-mail: CPSInfo@bls.gov Internet: http:/''stats.bls.gov.'cpshome.htm National establishment data: Telephone: (202) 691-6555 E-mail: CESI nfo@ b 1 s.gov Internet: http://stats.bls.gov/ceshome.htm State and area establishment data: Telephone: (202) 691-6559 E-mail: Data_SA @bls.gov Internet: http://stats.bls.gov/790home.htm Region, State, and area labor force data: Telephone: (202)691-6392 E-mail: Lauslnfo@bls.gov Internet: http://stats.bls.gov/lauhome.htm In addition to the monthly data appearing regularly in Employment & Earnings, special features appear in most of the issues as shown below. Household data Revised seasonally adjusted series Jan. Annual averages Jan. Earnings by detailed occupation Jan. Union affiliation Jan. Minimum wage data Jan. Lmployee absences Jan. Quarterly averages: Seasonally adjusted data, persons of Hispanic origin, Vietnam-era veterans and nonveterans, and weekly earnings data Jan., Apr., July, Oct. Establishment data National annual averages: Industry divisions (preliminary) Jan. Industry detail March, June Women employees March, June National data revised to reflect new benchmarks and new seasonal adjustment factors June State and area annual averages May Area definitions May Region, State, and area labor force data Annual averages May Periodicals postage paid at Washington, DC, and at additional mailing addresses. Information in this publication will be made available r> sensory impaired individuals upon request. Voice phone (202)691-5200; Federal Relay Service: 1-800-877-8339. Material in this publication is in the public domain and, with appropriate credit, may be reproduced without permission. Cover Design: Keith Tapscott Employment^EarnhiDS Editor John F. Stinson Jr. Design and Layout Phyllis L. Lott Irma Mayfield Contents Page List of statistical tables Contents to the explanatory notes and estimates of error Employment and unemployment developments, September 2000 Summary tables and charts Explanatory notes and estimates of error Index to statistical tables ii v 1 3 160 204 Statistical tables Source Historical Seasonally adjusted Household data Establishment data: Employment: National State Area Hours and earnings: National State and area Local area labor force data: Region State Area Household data: Quarterly averages Not seasonally adjusted 18 44 48 53 65 78 78 45 61 96 119 123 125 136 130 130 147 Monthly Household Data Page Historical A-l. Employment status of the civilian noninstitutional population 16 years and over, 1966 to date 5 A-2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1988 to date 6 Seasonally Adjusted Data Employment Status A-3. Employment status of the civilian noninstitutional population by sex and age A-4. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic origin A-5. Employment status of the civilian noninstitutional population 25 years and over by educational attainment A-6. Employed and unemployed full- and part-time workers by sex and age 7 8 10 11 Characteristics of the Employed A-7. Employed persons by marital status, occupation, class of worker, and part-time status A-8. Employed persons by age and sex 12 13 Characteristics of the Unemployed A-9. A-10. A-l 1. A-12. A-13. Unemployed persons by age and sex Unemployment rates by age and sex Unemployment rates by occupation, industry, and selected demographic characteristics Unemployed persons by reason for unemployment Unemployed persons by duration of unemployment 14 15 16 17 17 Not Seasonally Adjusted Data Employment Status A-14. Employment status of the civilian noninstitutional population by age, sex, and race A-15. Employment status of the civilian noninstitutional population by race, sex, and age A-16. Employment status of the civilian noninstitutional population 16 to 24 years of age by school enrollment, educational attainment, sex, race, and Hispanic origin A-17. Employment status of the civilian noninstitutional population 25 years and over by educational attainment, sex, race, and Hispanic origin A-18. Employed and unemployed full- and part-time workers by age, sex, and race 18 21 22 24 25 Characteristics of the Employed A-19. A-20. A-21. A-22. A-23. A-24. Employed persons by occupation, sex, and age Employed persons by occupation, race, and sex Employed persons by industry and occupation Employed persons in agriculture and nonagricultural industries by age, sex, and class of worker Persons at work in agriculture and nonagricultural industries by hours of work Persons at work 1 to 34 hours in all and nonagricultural industries by reason for working less than 35 hours and usual full- or part-time status A-25. Persons at work in nonagricultural industries by class of worker and usual full- or part-time status A-26. Persons at work in nonagricultural industries by age, sex, race, marital status, and usual full- or part-time status .. A-27. Persons at work in nonfarm occupations by sex and usual full- or part-time status 26 27 28 29 30 30 31 32 33 Characteristics of the Unemployed A-28. A-29. A-30. A-31. A-32. A-33. A-34. A-35. Unemployed Unemployed Unemployed Unemployed Unemployed Unemployed Unemployed Unemployed persons by marital status, race, age, and sex persons by occupation and sex persons by industry and sex persons by reason for unemployment, sex, age, and race persons by reason for unemployment, sex, age, and duration of unemployment total and full-time workers by duration of unemployment persons by age, sex, race, marital status, and duration of unemployment persons by occupation, industry, and duration of unemployment 34 35 36 37 38 38 39 40 Persons Not in the Labor Force A-36. Persons not in the labor force by desire and availability for work, age, and sex 40 Multiple Jobholders A-37. Multiple jobholders by selected demographic and economic characteristics Vietnam-era Veterans and Nonveterans A-38. Employment status of male Vietnam-era veterans and nonveterans by age 41 42 Monthly Establishment Data Page Historical B-l. Employees on nonfarm payrolls by major industry, 1948 to date B-2. Average hours and earnings of production or nonsupervisory workers on private nonfarm payrolls by major industry, 1964 to date 44 45 Seasonally Adjusted Data Employment National B-3. Employees on nonfarm payrolls by major industry and selected component groups B-4. Women employees on nonfarm payrolls by major industry and manufacturing group B-5. Production or nonsupervisory workers on private nonfarm payrolls by major industry and manufacturing group 48 50 51 B-6. Diffusion indexes of employment change 52 States B-7. Employees on nonfarm payrolls by State and major industry 53 Hours and Earnings National B-8. Average weekly hours of production or nonsupervisory workers on private nonfarm payrolls by major industry and manufacturing group B-9. Indexes of aggregate weekly hours of production or nonsupervisory workers on private nonfarm payrolls by major industry and manufacturing group B-10. Hours of wage and salary workers on nonfarm payrolls by major industry B-l 1. Average hourly and weekly earnings of production or nonsupervisory workers on private nonfarm payrolls by major industry 61 62 63 64 Not Seasonally Adjusted Data Employment National B-12. Employees on nonfarm payrolls by detailed industry 65 B-l3. Women employees on nonfarm payrolls by major industry and manufacturing group 77 States and Areas B-14. Employees on nonfarm payrolls in States and selected areas by major industry 78 Hours and Earnings National B-l5. Average hours and earnings of production or nonsupervisory workers on private nonfarm payrolls by detailed industry B-l5a. Average hourly earnings in aircraft (SIC 3721) and guided missiles and space vehicles (SIC 3761) manufacturing B-16. Average hourly earnings, excluding overtime, of production workers on manufacturing payrolls B-l7. Average hourly and weekly earnings of production or nonsupervisory workers on private nonfarm payrolls by major industry, in current and constant (1982) dollars States and Areas B-l8. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas 96 116 117 118 119 Monthly Regional, State, and Area Labor Force Data Seasonally Adjusted Data C-l. Labor force status by census region and division C-2. Labor force status by State 123 125 Not Seasonally Adjusted Data C-3. Labor force status by State and metropolitan area 130 iii Quarterly Household Data Page Seasonally Adjusted Data Employment Status D-l. D-2. D-3. D-4. Employment status of the civilian noninstitutional population by sex and age Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic origin Employment status of the civilian noninstitutional population 25 years and over by educational attainment Employed and unemployed full- and part-time workers by sex and age 136 137 139 140 Characteristics of the Employed D-5. Employed persons by marital status, occupation, class of worker, and part-time status D-6. Employed persons by age and sex 141 142 Characteristics of the Unemployed D-7. D-8. D-9. D-10. D-l 1. Unemployed persons by age and sex Unemployment rates by age and sex Unemployment rates by occupation, industry, and selected demographic characteristics Unemployed persons by reason for unemployment Unemployed persons by duration of unemployment 143 144 145 146 146 Not Seasonally Adjusted Data Employment Status D-l2. Employment status of the civilian noninstitutional population by sex, age, race, and Hispanic origin D-l3. Employment status of the Mexican, Puerto Rican, and Cuban-origin population by sex and age 147 148 Characteristics of the Employed D-l4. Employed white, black, and Hispanic-origin workers by sex, occupation, class of worker, and full- or part-time status D-l5. Employed Mexican, Puerto Rican, and Cuban-origin workers by sex, occupation, class of worker, and full- or part-time status D-16. Employed persons by age, sex, race, and Hispanic origin 149 150 151 Characteristics of the Unemployed D-17. Unemployment rates by age, sex, race, and Hispanic origin D-l8. Unemployed persons by reason for unemployment, race, and Hispanic origin D-l9. Unemployed persons by duration of unemployment, race, and Hispanic origin 152 153 154 Weekly Earnings Data D-20. Median weekly earnings of full-time wage and salary workers by selected characteristics D-21. Median weekly earnings of part-time wage and salary workers by selected characteristics D-22. Median weekly earnings of full-time wage and salary workers by occupation and sex 155 156 157 Vietnam-era Veterans and Nonveterans Data D-23. Employment status of male Vietnam-era veterans and nonveterans by age D-24. Employment status of male Vietnam-era veterans and nonveterans by age, race, and Hispanic origin IV 158 159 Explanatory Notes and Estimates of Error Page Page Introduction Relationship between the household and establishment series Comparability of household data with other series Comparability of payroll employment data with other series 160 160 161 161 Household data Collection and coverage Concepts and definitions Historical comparability Changes in concepts and methods Noncomparability of labor force levels Changes in the occupational and industrial classification systems Sampling Selection of sample areas Selection of sample households Rotation of sample CPS sample, 1947 to present Estimating methods Noninterview adjustment Ratio estimates First stage Second stage Composite estimation procedure Rounding of estimates Reliability of the estimates Nonsampling error Sampling error (Revised effective Oct. 2000) Tables 1-B through 1-H 162 162 162 164 164 166 168 168 169 169 170 170 170 171 171 171 171 172 172 172 172 173 173 Establishment data Data collection Concepts Estimating methods Benchmarks Monthly estimation Stratification Link relative technique Bias adjustment 180 180 180 183 183 183 183 183 183 Establishment data—Continued Summary of methods table Measures of error table The sample Design Coverage Reliability Benchmark revision as a measure of survey error Estimated standard errors for employment, hours, and earnings Standard errors for differences between industries and times Revisions between preliminary and final data CES sample redesign Original sample design limitations The new CES sample design Frame and sample selection Sample enrollment activities Estimation Benchmarking Business birth and death estimation Difference between the birth/death model and bias adjustment Variance estimation for CES redesign estimates Appropriate uses of sampling variances in CES Sampling errors for wholesale trade Statistics for States and areas 187 187 188 188 188 188 188 194 194 195 195 196 196 196 196 197 Region, State, and area labor force data Federal-State cooperative program Estimating methods Estimates for States Current monthly estimates Benchmark correction procedures Estimates for sub-State areas Preliminary estimate: Employment Unemployment Sub-State adjustment for additivity Benchmark correction 200 200 200 200 Seasonal adjustment 201 Note on Temporary Census Workers The hiring of temporary workers for Census 2000 affects current levels of Federal Government employment and higher aggregates that include the Federal Government. Estimates of these workers are 32,000, 72,000, 189,000, 262,000, 618,000, 480,000, 199,000, 33,000, and 6,000 in January, February, March, April, May, June, July, August, and September 2000, respectively. Preliminary employment estimates ("B" tables) that include these workers may be subject to larger than normal revisions. For additional information, see "Counting the counters: effects of Census 2000 on employment" in the February 2000 issue of the Monthly Labor Review. 184 185 186 186 187 187 187 199 199 199 199 199 199 200 Employment and Unemployment Developments, September 2000 T Industry payroll employment Total nonfarm payroll employment rose by 252,000 to 131.8 million in September. Contributing to this increase was the net return of 75,000 striking workers to their jobs. At the same time, the number also reflects the conclusion of 27,000 temporary census jobs. After adjusting for both effects, payroll employment increased by 204,000 in September. (The strike adjustment primarily reflects the return of 87,000 communications workers who were off company payrolls in August, which was partly offset by new strikes involving 12,000 workers.) So far this year, employment has increased by an average of 192,000 per month compared to 229,000 per month for all of 1999. (See table B-3.) Employment in the services industry rose by 200,000 in September, seasonally adjusted. Month-to-month growth in services employment has varied widely this year, although the average monthly change (119,000) is close to the monthly average for all of 1999. Employment in help supply services increased by 69,000 in September, after showing little net growth in the prior 3 months. Over the month, job gains continued in health services and in engineering and management services. In September, as in August, there were large employment increases in job training services (within social services) and civic and social organizations (within membership organizations) after seasonal adjustment; these increases resulted from lighter-than-normal seasonal layoffs that followed weak summer hiring. Construction employment rose by 30,000 in September, seasonally adjusted, following 3 months of very small gains. Seasonal declines in construction usually begin in September. This year those seasonal layoffs were smaller than normal, perhaps reflecting the relatively light hiring over the summer. Thus far this year, construction employment has increased by 17,000 per month on average, compared with 25,000 per month for all of 1999. Employment in transportation and public utilities rose by 105,000 in September, largely reflecting the return of 87,000 telephone communications workers from a strike that kept them off payrolls during the August reference period. Apart from the strike effect, employment in the communications industry increased by 7,000, and the transportation industry continued to grow. Finance, insurance, and real estate employment rose by 16,000 in September, following a similar gain in August. In the first 7 months of the year, however, the industry had averaged monthly job losses of 4,000. In September, security brokerages added 6,000 jobs, continuing a strong growth trend. Employment also increased in mortgage brokerages and in real estate. Employment in manufacturing fell by 66,000 in Septem- otal nonfarm employment rose by 252,000 in September, and the unemployment rate declined to 3.9 percent. After adjusting for the net return of striking workers (75,000) and a further decline in the number of temporary census jobs (27,000), nonfarm employment was up by 204,000. Job gains were very strong in the services industry, but the overall employment change was tempered by widespread job losses in manufacturing. Unemployment Both the number of unemployed persons, 5.5 million, and the unemployment rate, 3.9 percent, declined in September. Over the past year, the rate has ranged from 3.9 percent to 4.1 percent. Over the month, the unemployment rates decreased for adult women (3.5 percent) and blacks (7.0 percent). Rates for the other major worker groups—adult men (3.2 percent), teenagers (12.8 percent), whites (3.5 percent), and Hispanics (5.6 percent)—showed little or no change. (See tables A-3 and A-4.) Total employment and the labor force Total employment was little changed at 135.2 million, seasonally adjusted, in September. The employment-population ratio—the proportion of the population age 16 and older with jobs—was 64.3 percent, unchanged from August. The civilian labor force, 140.6 million, and the labor force participation rate, 66.9 percent, were both essentially unchanged in September. (See table A-3.) The number of persons employed part time for economic reasons (those who would have preferred full-time work) was 3.2 million in September. The number of these involuntary part-time workers has ranged from 3.1 to 3.3 million since July 1999. (See table A-7.) About 7.5 million persons (not seasonally adjusted) held more than one job in September. These multiple jobholders represented 5.5 percent of total employment, compared with 5.7 percent a year earlier. (See table A-37.) Persons not in the labor force About 1.2 million persons (not seasonally adjusted) were marginally attached to the labor force in September, about the same number as a year earlier. These people wanted and were available to work and had looked for a job sometime in the prior 12 months. They were not counted as unemployed, however, because they had not actively searched for work in the 4 weeks preceding the survey. The number of discouraged workers was 250,000 in September. Discouraged workers, a subset of the marginally attached, were not currently looking for work specifically because they believed no jobs were available for them. (See table A-36.) 1 ber, following an even larger decline of 117,000 in August, as revised. Part of September's decline resulted from 10,000 workers being off payrolls due to strikes in transportation equipment and food and kindred products during the survey reference period. September's losses were widespread, with employment down in both durable and nondurable goods manufacturing. Employment fell in industrial machinery and equipment (9,000), apparel (9,000), rubber and miscellaneous plastics (8,000), and fabricated metal products (6,000). The only manufacturing industry to show consistent growth this year has been electronic components, which added 4,000 jobs in September and has added 46,000 jobs since April 1999. Retail trade employment was essentially unchanged in September, as gains in most component industries were offset by losses in eating and drinking places and in building materials stores. The number of jobs in eating and drinking establishments declined for the second consecutive month, following strong gains in June and July. Wholesale trade showed little change in September. Federal Government employment fell in September, as 27,000 temporary Census 2000 workers completed their assignments. As of September, only about 6,000 temporary census workers remained on the Federal Government pay- roll, down from a peak of 618,000 in May. Weekly hours The average workweek for production or nonsupervisory workers on private nonfarm payrolls was up by 0.1 hour in September to 34.4 hours, seasonally adjusted. The manufacturing workweek edged down by 0.1 hour to 41.2 hours, following a drop of 0.4 hour in August. In September, manufacturing overtime declined by 0.1 hour for the second consecutive month to 4.4 hours. (See table B-8.) The index of aggregate weekly hours of production or nonsupervisory workers on private nonfarm payrolls increased by 0.3 percent to 151.4 (1982=100), seasonally adjusted. The manufacturing index fell by 0.7 percent to 104.6. (See table B-9.) Hourly and weekly earnings Average hourly earnings of production or nonsupervisory workers on private nonfarm payrolls increased by 3 cents in September to $13.83, seasonally adjusted. Over the month, average weekly earnings increased by 0.5 percent to $475.75. Over the year, average hourly earnings rose by 3.6 percent and average weekly earnings grew by 3.3 percent. Twelvemonth growth rates in hourly earnings have been in the range of 3.5 to 3.8 percent since February 1999. (See table B-l 1.) Expansion of the Current Population Survey (Household Survey) Sample The Census Bureau is expanding the monthly sample for the Current Population Survey (CPS) in response to a legislative mandate under the State Children's Health Insurance Program (SCHIP). This expansion, which will occur in 31 States and the District of Columbia, will increase the total number of households eligible for the monthly survey from about 50,000 to about 60,000. The additional households are being introduced into the survey over a 3-month period beginning with September 2000. The SCHIP legislation requires that the Census Bureau improve State estimates of the number of children who live in low-income families and lack health insurance. The expansion of the monthly CPS sample is one part of the Census Bureau's plan for improving the SCHIP estimates. Other parts of the plan include an increase in the number of households that will be asked the questions from the annual March supplement to the CPS, the source of information on income and access to health insurance. The Bureau of Labor Statistics (BLS) does not plan to use the expanded sample for the official national labor force estimates until at least July 2001, after the data collected from the new households have been evaluated. BLS will review estimates for November 2000 through April 2001 produced from the expanded sample. If persistent differences are observed between the estimates derived from the current and expanded samples during this period of review, the use of the expanded sample in the official estimates may be further delayed. The announcement of the final decision on whether the expanded sample will be used in the official data for July 2001 (scheduled for release in August) will be made in early June. Scheduled Release Dates Employment and unemployment data are scheduled for initial release on the following dates: Reference month Release date Reference month Release date October November 3 January February 2 November December 8 February March 9 December January 5 March April 6 Summary table A. Major labor force status categories, seasonally adjusted (Numbers in thousands) 2000 1999 Category Oct. Sept. Nov. Jan. Dec. Mar. Feb. Apr. May June July Aug. Sept. Labor force status Civilian noninstitutional population Civilian labor force Percent of DODulation Employed Percent of population Unemployed Not in labor force 208,265 208,483 208,666 208,832 208,782 208,907 209,053 209,216 209,371 209,543 209,727 209,935 210,161 139,475 139,697 139,834 140,108 140,910 141,165 140,867 141,230 140,489 140,762 140,399 140,742 140,639 67.6 66.9 66.9 67.5 67.5 67.1 67.2 67.0 67.1 67.4 67.0 67.0 67.0 133,650 133,940 134,098 134,420 135,221 135,362 135,159 135,706 134,715 135,179 134,749 134,912 135,161 64.3 64.8 64.2 64.8 64.9 64.3 64.5 64.3 64.4 64.7 64.3 64.2 64.2 . . . 5,477 5,804 5,650 5,689 5,524 5,774 5,583 5,736 5,688 5,708 5,829 5,757 5,825 68,790 68,786 68,832 68,724 67,872 67,742 68,187 67,986 68,882 68,781 69,329 69,193 69,522 Unemployment rates 4.1 3.5 3.5 13.8 3.5 8.3 6.3 4.2 3.4 3.7 14.6 3.6 8.3 6.6 All workers Men 20 years and over Women 20 years and over Both sexes 16 to 19 years White Black Hispanic origin 4.1 3.3 3.6 14.0 3.5 8.0 6.1 4.1 3.3 3.6 13.8 3.5 7.9 5.9 4.1 3.3 3.6 13.3 3.6 7.3 6.3 4.1 3.4 3.5 14.1 3.6 7.8 5.7 4.0 3.3 3.7 12.6 3.4 8.2 5.6 3.9 3.2 3.5 12.7 3.5 7.2 5.4 4.1 3.4 3.8 12.5 3.5 8.0 5.8 4.0 3.2 3.8 11.6 3.4 7.9 5.6 4.0 3.2 3.7 13.4 3.5 7.7 5.6 4.1 3.2 3.8 14.4 3.6 8.0 5.7 3.9 3.2 3.5 12.8 3.5 7.0 5.6 the household survey. NOTE: Beginning in January 2000, data reflect revised population controls used in Summary table B. Employment, hours, and earnings of production or nonsupervisory workers on nonfarm payrolls, seasonally adjusted (Numbers in thousands) 2000 1999 Industry Sept. Oct. Nov. Dec. Jan. Feb. 129,265 129,523 129,788 130,387 109,042 25,460 527 109,275 25,483 109,517 25,527 527 6,516 18,484 104,261 130,038 109,730 130,482 110,088 25,624 533 6,618 18,473 104,858 6,937 7,011 Mar. Apr. May June July Aug.P Sept.P 131,009 131,419 110,462 25,738 536 6,726 18,476 110,752 25,725 131,647 110,845 25,700 105,694 131,607 111,001 25,756 538 6,670 18,548 105,851 7,010 7,050 23,196 7,586 40,403 20,606 131,516 111,018 25,643 537 6,675 18,431 105,271 6,953 7,033 23,027 7,621 40,090 20,547 131,590 110,578 25,684 539 6,666 18,479 105,906 6,962 7,048 23,064 7,600 40,220 131,768 111,306 25,606 536 6,705 18,365 106,162 7,046 7,065 23,189 7,622 40,778 20,462 Employment Total Total private Goods-producing industries Mining Construction Manufacturing Service-producing industries Transportation and public utilities ... Wholesale trade Retail trade Finance, insurance, and real estate Services Government 6,439 18,494 103,805 6,866 6,962 22,844 7,589 39,321 20,223 529 6,470 18,484 104,040 6,875 6,973 22,863 7,599 39,482 20,248 22,893 7,604 39,606 20,271 25,561 530 6,552 18,479 104,477 6,911 7,002 22,936 7,613 39,707 20,308 110,036 25,677 530 6,652 18,495 104,710 6,925 7,005 22,973 7,612 39,844 20,351 22,978 7,624 39,914 20,394 539 6,694 18,492 6,970 7,055 23,197 539 6,668 18,493 105,947 6,985 7,049 105,873 6,941 7,062 23,188 7,606 40,578 21,012 23,122 7,588 40,401 20,802 410 290 -13 3 -32 16 423 17 22 170 -11 105 120 171 -174 -41 0 -28 -13 212 -8 -7 -133 -10 25 345 57 267 16 0 2 14 41 23 1 58 -12 181 -210 -40 156 56 -1 2 55 -96 25 1 74 -2 2 -196 -91 17 -113 -1 5 -117 22 -69 12 -8 20 175 -108 16 200 -36 34.6 42.2 4.9 34.4 41.4 4.5 34.5 41.6 4.6 34.4 41.7 4.6 34.3 41.3 4.5 34.4 41.2 4.4 151.3 106.4 151.4 107.2 151.0 105.3 151.4 104.6 $13.70 7.85 472.65 $13.75 $13.80 7.86 473.00 7.90 473.34 7,610 40,195 20,667 20,498 Over-the-month change Total Total private Goods-producing industries Mining Construction Manufacturing Service-producing industries Transportation and public utilities ... Wholesale trade Retail trade Finance, insurance, and real estate Services Government 208 196 30 1 38 -9 178 18 16 3 -1 130 12 258 233 23 2 31 -10 235 9 11 19 10 161 25 265 242 44 -2 46 0 221 23 16 30 5 124 23 250 213 34 3 36 -5 216 13 13 43 9 101 37 349 306 116 0 100 16 233 14 3 37 -1 137 43 527 374 114 3 108 3 413 16 22 49 -3 176 153 95 52 -53 3 -34 -22 148 12 6 5 12 70 43 252 288 -37 -1 30 105 3 1 Hours of work1 Total private Manufacturing Overtime 34.5 41.8 4.7 34.5 41.8 4.7 34.5 41.7 4.7 34.5 41.7 4.7 34.5 41.7 4.6 34.6 41.8 4.7 34.5 41.7 4.6 Indexes of aggregate weekly hours (1982=100)1 Total private Manufacturing 148.6 107.1 149.3 107.0 149.6 106.8 149.8 106.7 150.6 107.0 150.6 107.0 151.0 106.7 151.7 107.9 150.5 106.0 Earnings1 Average hourly earnings, total private: Current dollars Constant (1982) dollars2 Average weekly earnings, total private 1 $13.35 $13.38 7.86 460.58 7.87 461.61 $13.41 7.87 462.65 $13.44 7.87 463.68 Data relate to private production or nonsupervisory workers. The Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W) is used to deflate this series. The data in this series have been revised from January 2000 through August 2000 due to corrections in the CPI-W. N.A. = not available. 2 $13.49 7.88 465.41 $13.54 7.87 468.48 7.83 $13.64 7.87 $13.66 7.87 468.51 471.94 469.90 $13.58 $13.83 N.A. 475.75 p = preliminary. NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1996 forward are subject to revision. Chart 1. Nonfarm payroll employment, seasonally adjusted, 1996-2000 Thousands 132,500 Thousands 132,500 130,000 - 130,000 127,500 ~ 127,500 125,000 - - 125,000 122,500 - 122,500 120,000 - 120,000 117,500 117,500 1996 1997 1998 1999 2000 Chart 2. Unemployment rate, seasonally adjusted, 1996-2000 Percent 6.0 Percent 6.0 1996 1997 1998 1999 2000 NOTE: Beginning in 1997, data incorporate revisions in the population controls. Beginning in 1998, data incorporate new composite estimation procedures and updated population controls. Beginning in 1999 and 2000, data incorporate revisions in the population controls. These changes affect comparability with data for prior periods. HOUSEHOLD DATA HISTORICAL A-1. Employment status of the civilian noninstitutional population 16 years and over, 1966 to date (Numbers in thousands) Civilian labor force Year and month Civilian noninstitutional population Employed Number Percent of population Number Percent of population Agriculture Unemployed Nonagricultural industries Number Percent of labor force Not in labor force Annual averages 1966. 1967. 1968. 1969. 128,058 129,874 132,028 134,335 75,770 77,347 78,737 80,734 59.2 59.6 59.6 60.1 72,895 74,372 75,920 77,902 56.9 57.3 57.5 58.0 3,979 3,844 3,817 3,606 68,915 70,527 72,103 74,296 2,875 2,975 2,817 2,832 3.8 3.8 3.6 3.5 52,288 52,527 53,291 53,602 1970. 1971 . 19721 19731 1974. 1975. 1976. 1977. 19781 1979. 137,085 140,216 144,126 147,096 150,120 153,153 156,150 159,033 161,910 164,863 82,771 84,382 87,034 89,429 91,949 93,775 96,158 99,009 102,251 104,962 60.4 60.2 60.4 60.8 61.3 61.2 61.6 62.3 63.2 63.7 78,678 79,367 82,153 85,064 86,794 85,846 88,752 92,017 96,048 98,824 57.4 56.6 57.0 57.8 57.8 56.1 56.8 57.9 59.3 59.9 3,463 3,394 3,484 3,470 3,515 3,408 3,331 3,283 3,387 3,347 75,215 75,972 78,669 81,594 83,279 82,438 85,421 88,734 92,661 95,477 4,093 5,016 4,882 4,365 5,156 7,929 7,406 6,991 6,202 6,137 4.9 5.9 5.6 4.9 5.6 8.5 7.7 7.1 6.1 5.8 54,315 55,834 57,091 57,667 58,171 59,377 59,991 60,025 59,659 59,900 1980. 1981 . 1982. 1983. 1984. 1985. 19861 1987. 1988. 1989. 167,745 170,130 172,271 174,215 176,383 178,206 180,587 182,753 184,613 186,393 106,940 108,670 110,204 111,550 113,544 115,461 117,834 119,865 121,669 123,869 63.8 63.9 64.0 64.0 64.4 64.8 65.3 65.6 65.9 66.5 99,303 100,397 99,526 100,834 105,005 107,150 109,597 112,440 114,968 117,342 59.2 59.0 57.8 57.9 59.5 60.1 60.7 61.5 62.3 63.0 3,364 3,368 3,401 3,383 3,321 3,179 3,163 3,208 3,169 3,199 95,938 97,030 96,125 97,450 101,685 103,971 106,434 109,232 111,800 114,142 7,637 8,273 10,678 10,717 8,539 8,312 8,237 7,425 6,701 6,528 7.1 7.6 9.7 9.6 7.5 7.2 7.0 6.2 5.5 5.3 60,806 61,460 62,067 62,665 62,839 62,744 62,752 62,888 62,944 62,523 19901 1991 . 1992. 1993. 19941 1995. 1996. 19971 19981 19991 189,164 190,925 192,805 194,838 196,814 198,584 200,591 203,133 205,220 207,753 125,840 126,346 128,105 129,200 131,056 132,304 133,943 136,297 137,673 139,368 66.5 66.2 66.4 66.3 66.6 66.6 66.8 67.1 67.1 67.1 118,793 117,718 118,492 120,259 123,060 124,900 126,708 129,558 131,463 133,488 62.8 61.7 61.5 61.7 62.5 62.9 63.2 63.8 64.1 64.3 3,223 3,269 3,247 3,115 3,409 3,440 3,443 3,399 3,378 3,281 115,570 114,449 115,245 117,144 119,651 121,460 123,264 126,159 128,085 130,207 7,047 8,628 9,613 8,940 7,996 7,404 7,236 6,739 6,210 5,880 5.6 6.8 7.5 6.9 6.1 5.6 5.4 4.9 4.5 4.2 63,324 64,578 64,700 65,638 65,758 66,280 66,647 66,837 67,547 68,385 Monthly data, seasonally adjusted2 1999: September. October November.. December .. 208,265 208,483 208,666 208,832 139,475 139,697 139,834 140,108 67.0 67.0 67.0 67.1 133,650 133,940 134,098 134,420 64.2 64.2 64.3 64.4 3,179 3,238 3,310 3,279 130,471 130,702 130,788 131,141 5,825 5,757 5,736 5,688 4.2 4.1 4.1 4.1 68,790 68,786 68,832 68,724 2000: January3 .... February .... March April May June July August September. 208,782 208,907 209,053 209,216 209,371 209,543 209,727 209,935 210,161 140,910 141,165 140,867 141,230 140,489 140,762 140,399 140,742 140,639 67.5 67.6 67.4 67.5 67.1 67.2 66.9 67.0 66.9 135,221 135,362 135,159 135,706 134,715 135,179 134,749 134,912 135,161 64.8 64.8 64.7 64.9 64.3 64.5 64.2 64.3 64.3 3,371 3,408 3,359 3,355 3,298 3,321 3,299 3,344 3,340 131,850 131,954 131,801 132,351 131,417 131,858 131,450 131,569 131,821 5,689 5,804 5,708 5,524 5,774 5,583 5,650 5,829 5,477 4.0 4.1 4.1 3.9 4.1 4.0 4.0 4.1 3.9 67,872 67,742 68,187 67,986 68,882 68,781 69,329 69,193 69,522 1 Not strictly comparable with prior years. For an explanation, see "Historical Comparability" under the Household Data section of the Explanatory Notes and Estimates of Error. 2 The population figures are not adjusted for seasonal variation. 3 Beginning in January 2000, data are not strictly comparable with data for 1999 and earlier years because of revisions in the population controls used in the household survey. For additional information, see "Revisions in the Current Population Survey Effective January 2000" in the February 2000 issue of this publication. HOUSEHOLD DATA HISTORICAL A-2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1988 to date (Numbers in thousands) Civilian labor force Sex, year, and month Civilian noninstitutional population Employed Number Percent of population Number Percent of population Unemployed Agriculture Nonagricultural industries Number Percent of labor force Not in labor force Annual averages MEN 1988 1989 87,857 88,762 66,927 67,840 76.2 76.4 63,273 64,315 72.0 72.5 2,493 2,513 60,780 61,802 3,655 3,525 5.5 5.2 20,930 20,923 19901 1991 1992 1993 19941 1995 1996 19971 19981 19991 90,377 91,278 92,270 93,332 94,355 95,178 96,206 97,715 98,758 99.722 69,011 69,168 69,964 70,404 70,817 71,360 72,087 73,261 73,959 74.512 76.4 75.8 75.8 75.4 75.1 75.0 74.9 75.0 74.9 74.7 65,104 64,223 64,440 65,349 66,450 67,377 68,207 69,685 70,693 71,446 72.0 70.4 69.8 70.0 70.4 70.8 70.9 71.3 71.6 71.6 2,546 2,589 2,575 2,478 2,554 2,559 2,573 2,552 2,553 2,432 62,559 61,634 61,866 62,871 63,896 64,818 65,634 67,133 68,140 69,014 3,906 4,946 5,523 5,055 4,367 3,983 3,880 3,577 3,266 3,066 5.7 7.2 7.9 7.2 6.2 5.6 5.4 4.9 4.4 4.1 21,367 22,110 22,306 22,927 23,538 23,818 24,119 24,454 24.799 25,210 Monthly data, seasonally adjusted2 1999: September October.... November December 99,976 100,088 100,179 100,264 74,643 74,680 74,728 74,930 74.7 74.6 74.6 74.7 71,630 71,623 71,732 71,927 71.6 71.6 71.6 71.7 2,361 2,389 2,501 2,440 69,269 69,234 69,231 69,487 3,013 3,057 2,996 3,003 4.0 4.1 4.0 4.0 25,333 25,408 25,451 25,334 2000: January3 .. February .. March April May June July August September 100,266 100,330 100,405 100,487 100,566 100,654 100,745 100,847 100,963 75,304 75,594 75,198 75,189 74,883 75,120 74,917 75,412 75,233 75.1 75.3 74.9 74.8 74.5 74.6 74.4 74.8 74.5 72,358 72,473 72,313 72,307 71,948 72,217 72,063 72,407 72,352 72.2 72.2 72.0 72.0 71.5 71.7 71.5 71.8 71.7 2,495 2,494 2,409 2,384 2,381 2,429 2,465 2,465 2,548 69,862 69,979 69,904 69,923 69,568 69,789 69,598 69,942 69,805 2,946 3,121 2,885 2,882 2,934 2,903 2,854 3,005 2,881 3.9 4.1 3.8 3.8 3.9 3.9 3.8 4.0 3.6 24,963 24.737 25,206 25.298 25,683 25,534 25,828 25,435 25,730 Annual averages WOMEN 1988 1989 96,756 97,630 54,742 56,030 56.6 57.4 51,696 53,027 53.4 54.3 676 687 51,020 52,341 3,046 3.003 5.6 5.4 42.014 41.601 19901 1991 1992 1993 19941 1995 1996 19971 19981 19991 98,787 99,646 100,535 101,506 102,460 103,406 104,385 105,418 106,462 108.031 56,829 57.178 58,141 58,795 60,239 60,944 61,857 63,036 63,714 64,855 57.5 57.4 57.8 57.9 58.8 58.9 59.3 59.8 59.8 60.0 53,689 53,496 54,052 54,910 56,610 57,523 58,501 59,873 60,771 62,042 54.3 53.7 53.8 54.1 55.3 55.6 56.0 56.8 57.1 57.4 678 680 672 637 855 881 871 847 825 849 53,011 52,815 53,380 54,273 55,755 56,642 57,630 59,026 59,945 61,193 3.140 3,683 4,090 3,885 3,629 3,421 3,356 3,162 2,944 2.814 5.5 6.4 7.0 6.6 6.0 5.6 5.4 5.0 4.6 4.3 41,957 42,468 42,394 42,711 42,221 42,462 42,528 42,382 42,748 43.175 Monthly data, seasonally adjuste<j2 1999: September October.... November December 108,289 108.395 108,487 108,569 64,832 65.017 65,106 65,178 59.9 60.0 60.0 60.0 62,020 62,317 62,366 62,493 57.3 57.5 57.5 57.6 818 849 809 839 61,202 61,468 61,557 61.654 2,812 2,700 2,740 2,685 4.3 4.2 4.2 4.1 43,457 43,378 43,381 43.391 2000: January3 .. February ... March April May June July August September 108,516 108,577 108,649 108,729 108,805 108.889 108,983 109,088 109,198 65,606 65,572 65,668 66,041 65,606 65,642 65,482 65,330 65,406 60.5 60.4 60.4 60.7 60.3 60.3 60.1 59.9 59.9 62,863 62,889 62,846 63,399 62,767 62,962 62,686 62,505 62,809 57.9 57.9 57.8 58.3 57.7 57.8 57.5 57.3 57.5 875 914 950 971 918 893 834 878 792 61,988 61,975 61,896 62,428 61,849 62,070 61,852 61,627 62,016 2,743 2,683 2,823 2,642 2,839 2,680 2,796 2.824 2,597 4.2 4.1 4.3 4.0 4.3 4.1 4.3 4.3 4.0 42,910 43.005 42,980 42.688 43,199 43,247 43.501 43.758 43,793 1 Not strictly comparable with prior years. For an explanation, see "Historical Comparability* under the Household Data section of the Explanatory Notes and Estimates of Error. 2 The population figures are not adjusted for seasonal variation. 3 Beginning in January 2000, data are not strictly comparable with data for 1999 and earlier years because of revisions in the population controls used in the household survey. For additional information, see "Revisions in the Current Population Survey Effective January 2000" in the February 2000 issue of this publication. HOUSEHOLD DATA SEASONALLY ADJUSTED A-3. Employment status of the civilian noninstitutional population by sex and age, seasonally adjusted (Numbers in thousands) Employment status, sex, and age 1999 Sept. Oct. 2000 Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. TOTAL Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Not in labor force Persons who currently want a job 208,265 208,483 208,666 208,832 208,782 208,907 209,053 209,216 209,371 209,543 209,727 209,935 210,161 139,475 139,697 139,834 140,108 140,910 141,165 140,867 141,230 140,489 140,762 140,399 140,742 140,639 66.9 67.1 67.2 67.5 67.4 67.6 67.5 66.9 67.0 67.1 67.0 67.0 67.0 133,650 133,940 134,098 134,420 135,221 135,362 135,159 135,706 134,715 135,179 134,749 134,912 135,161 64.2 64.3 64.5 64.9 64.7 64.8 64.8 64.3 64.3 64.4 64.3 64.2 64.2 5,650 5,774 5,583 5,524 5,708 5,804 5,689 5,477 5,829 5,688 5,736 5,757 5,825 4.0 4.1 4.0 3.9 4.1 4.1 4.0 3.9 4.1 4.1 4.1 4.1 4.2 68,790 68,786 68,832 68,724 67,872 67,742 68,187 67,986 68,882 68,781 69,329 69,193 69,522 4,594 4,412 4,352 4,374 4,252 4,467 4,349 4,213 4,478 4,254 4,429 4,331 4,352 Men, 16 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 99,976 100,088 100,179 100,264 100,266 100,330 100,405 100,487 100,566 100,654 100,745 100,847 100,963 74,643 74,680 74,728 74,930 75,304 75,594 75,198 75,189 74,883 75,120 74,917 75,412 75,233 74.4 74.8 74.9 74.6 74.5 75.3 75.1 74.7 74.5 74.8 74.6 74.6 74.7 71,630 71,623 71,732 71,927 72,358 72,473 72,313 72,307 71,948 72,217 72,063 72,407 72,352 72.0 71.7 71.5 72.0 72.2 72.2 71.7 71.7 71.8 71.5 71.6 71.6 71.6 2,409 2,429 2,381 2,384 2,494 2,440 2,465 2,465 2,495 2,501 2,548 2,389 2,361 69,269 69,234 69,231 69,487 69,862 69,979 69,904 69,923 69,568 69,789 69,598 69,942 69,805 2,885 2,934 2,882 3,121 3,005 2,854 2,903 2,946 3,003 2,996 3,057 3,013 2,881 3.8 3.8 4.1 3.9 4.0 3.8 3.9 3.9 4.0 4.0 4.1 3.8 4.0 25,333 25,408 25,451 25,334 24,963 24,737 25,206 25,298 25,683 25,534 25,828 25,435 25,730 Men, 20 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 91,793 70,328 76.6 67,943 74.0 2,189 65,754 2,385 3.4 21,465 91,896 70,339 76.5 67,898 73.9 2,206 65,692 2,441 3.5 21,557 91,986 70,388 76.5 68,037 74.0 2,262 65,775 2,351 3.3 21,598 92,052 70,529 76.6 68,197 74.1 2,227 65,970 2,332 3.3 21,523 92,057 70,917 77.0 68,585 74.5 2,303 66,282 2,332 3.3 21,139 92,092 71,120 77.2 68,691 74.6 2,309 66,382 2,429 3.4 20,972 92,145 70,822 76.9 68,480 74.3 2,232 66,249 2,342 3.3 21,323 92,303 70,761 76.7 68,481 74.2 2,213 66,269 2,280 3.2 21,542 92,408 70,603 76.4 68,230 73.8 2,217 66,013 2,373 3.4 21,805 92,546 70,714 76.4 68,430 73.9 2,269 66,161 2,284 3.2 21,832 92,642 70,702 76.3 68,440 73.9 2,296 66,144 2,263 3.2 21,940 92,754 71,067 76.6 68,757 74.1 2,288 66,469 2,309 3.2 21,688 92,863 71,002 76.5 68,699 74.0 2,350 66,349 2,303 3.2 21,861 Women, 16 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 108,289 108,395 108,487 108,569 108,516 108,577 108,649 108,729 108,805 108,889 108,983 109,088 109,198 64,832 65,017 65,106 65,178 65,606 65,572 65,668 66,041 65,606 65,642 65,482 65,330 65,406 60.4 60.4 60.7 60.5 60.0 59.9 60.3 60.3 60.0 60.0 60.1 59.9 59.9 62,020 62,317 62,366 62,493 62,863 62,889 62,846 63,399 62,767 62,962 62,686 62,505 62,809 57.7 57.8 57.9 57.9 57.5 57.5 57.3 58.3 57.6 57.5 57.8 57.3 57.5 950 914 875 809 849 818 918 971 839 834 893 878 792 61,202 61,468 61,557 61,654 61,988 61,975 61,896 62,428 61,849 62,070 61,852 61,627 62,016 2,812 2,642 2,823 2,683 2,743 2,740 2,700 2,824 2,839 2,685 2,597 2,796 2,680 4.3 4.1 4.2 4.2 4.2 4.3 4.0 4.1 4.1 4.3 4.3 4.3 4.0 43,457 43,378 43,381 43,391 42,910 43,005 42,980 42,688 43,199 43,247 43,501 43,758 43,793 Women, 20 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 100,385 100,458 100,573 100,666 100,579 100,666 100,713 100,809 100,929 101,007 101,111 101,209 101,321 60,860 60,955 61,052 61,154 61,576 61,575 61,671 61,920 61,614 61,596 61,508 61,260 61,386 60.7 60.7 61.2 61.2 60.6 61.2 60.7 61.0 61.4 60.5 61.0 60.8 60.6 58,630 58,800 58,838 58,958 59,280 59,398 59,422 59,757 59,248 59,278 59,222 58,949 59,268 58.6 58.5 59.0 58.9 58.4 59.0 58.5 58.7 59.3 58.7 58.2 58.6 58.5 791 768 894 826 778 871 800 864 899 834 792 824 744 57,852 58,000 58,070 58,167 58,454 58,526 58,528 58,858 58,383 58,444 58,430 58,125 58,524 2,214 2,249 2,297 2,196 2,155 2,230 2,367 2,163 2,178 2,318 2,286 2,118 2,311 3.7 3.6 3.6 3.6 3.5 3.7 3.5 3.5 3.7 3.8 3.8 3.5 3.8 39,525 39,503 39,521 39,512 39,003 39,090 39,042 38,889 39,314 39,410 39,603 39,949 39,935 Both sexes, 16 to 19 years Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 16,086 8,287 51.5 7,077 44.0 212 6,865 1,210 14.6 7,799 16,129 8,403 52.1 7,242 44.9 232 7,010 1,161 13.8 7,726 16,107 8,394 52.1 7,223 44.8 280 6,943 1,171 14.0 7,713 16,114 8,425 52.3 7,265 45.1 261 7,004 1,160 13.8 7,689 16,147 8,416 52.1 7,356 45.6 242 7,114 1,060 12.6 7,730 1 The population figures are not adjusted for seasonal variation. N O T E : Detail for the seasonally adjusted data shown in tables A-3 through A-13 will not necessarily add to totals because of the independent seasonal adjustment 16,149 8,470 52.4 7,273 45.0 228 7,046 1,197 14.1 7,679 16,196 8,374 51.7 7,257 44.8 233 7,024 1,117 13.3 7,822 16,104 8,549 53.1 7,467 46.4 243 7,224 1,082 12.7 7,555 16,034 8,271 51.6 7,237 45.1 217 7,020 1,034 12.5 7,762 15,991 8,452 52.9 7,471 46.7 218 7,253 981 11.6 7,539 15,974 8,189 51.3 7,087 44.4 211 6,876 1,101 13.4 7,786 15,972 8,415 52.7 7,206 45.1 232 6,974 1,209 14.4 7,557 15,977 8,251 51.6 7,195 45.0 247 6,948 1,056 12.8 7,726 of the various series. Beginning in January 2000, data reflect revised population controls used in the household survey. HOUSEHOLD DATA SEASONALLY ADJUSTED A-4. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic origin, seasonally adjusted (Numbers in thousands) Employment status, race, sex, age, and Hispanic origin 2000 1999 Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept WHITE Civilian noninstitutional population1 .. 173,432 173,585 173,709 173,821 173,812 173,886 173,983 174,092 174,197 174,316 174,443 174,587 174,745 116,495 116,654 116,703 117,008 117,716 117,821 117,832 117,988 117,097 117,451 117,258 117,551 117,535 Civilian labor force 67.2 67.8 67.3 67.7 67.2 67.8 67.7 67.2 67.2 67.3 67.4 Percent of population 67.3 67.2 112,303 112,548 112,611 112,951 113,704 113,634 113,630 113,915 112,988 113,484 113,156 113,352 113,450 Employed 64.8 65.3 65.0 65.4 64.8 65.4 65.3 64.8 64.9 64.9 65.1 Employment-population ratio 64.9 64.9 4,092 4,187 4,057 4,011 4,192 4,073 4,202 4,106 4,108 4,199 3,967 4,085 4,103 Unemployed 3.5 3.6 3.5 3.4 3.6 3.5 3.6 3.5 3.5 3.6 3.4 3.5 3.5 Unemployment rate Men, 20 years and over Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 59,841 77.1 58,102 74.9 1,739 2.9 59,777 77.0 58,043 74.7 1,734 2.9 59,761 76.9 58,067 74.7 1,694 2.8 59,889 77.0 58,221 74.8 1,668 2.8 60,179 77.3 58,487 75.2 1,693 2.8 60,387 77.6 58,631 75.3 1,756 2.9 60,282 77.4 58,541 75.1 1,742 2.9 60,048 77.0 58,386 74.9 1,662 2.8 59,882 76.7 58,184 74.6 1,698 2.8 60,074 76.9 58,409 74.8 1,666 2.8 59,950 76.7 58,302 74.6 1,647 2.7 60,358 77.1 58,701 75.0 1,657 2.7 60,275 77.0 58,543 74.7 1,732 2.9 49,593 59.7 48,010 57.8 1,583 3.2 49.733 59.8 48,203 58.0 1,530 3.1 49,814 59.9 48,273 58.0 1,541 3.1 50,011 60.1 48,486 58.2 1,525 3.0 50,404 60.5 48,857 58.7 1,547 3.1 50,335 60.4 48,792 58.6 1,544 3.1 50.448 60.5 48,820 58.6 1,628 3.2 50,726 60.8 49,150 58.9 1,576 3.1 50,237 60.2 48,567 58.2 1,670 3.3 50,246 60.2 48,616 58.2 1,630 3.2 50,356 60.2 48,700 58.3 1,656 3.3 50,060 59.8 48,388 57.8 1,673 3.3 50,235 60.0 48,688 58.2 1,546 3.1 7,061 55.4 6,191 48.6 870 12.3 12.7 11.9 7,144 56.1 6,302 49.5 842 11.8 11.9 11.7 7,128 56.0 6,271 49.2 857 12.0 12.8 11.2 7,108 55.8 6,244 49.0 864 12.2 13.3 10.9 7,132 56.0 6,360 50.0 772 10.8 12.4 9.1 7,099 55.8 6,211 48.8 888 12.5 14.4 10.4 7,102 55.8 6,270 49.3 832 11.7 11.3 12.1 7,214 56.7 6,379 50.2 835 11.6 13.0 10.0 6,978 54.9 6,237 49.1 740 10.6 10.7 10.5 7,130 56.1 6,458 50.8 672 9.4 11.2 7.4 6,953 54.7 6,153 48.4 800 11.5 12.6 10.3 7,133 56.2 6,264 49.3 869 12.2 13.3 11.0 7,025 55.3 6,219 49.0 806 11.5 12.2 10.7 24,946 16,474 66.0 15,114 60.6 1,360 8.3 24,985 16,489 66.0 15,124 60.5 1,365 8.3 25,019 16,508 66.0 15,187 60.7 1,321 8.0 25,051 16,513 65.9 15,204 60.7 1,309 7.9 25,047 16,622 66.4 15,254 60.9 1,368 8.2 25,076 16,785 66.9 15,471 61.7 1,314 7.8 25,105 16,572 66.0 15,356 61.2 1,216 7.3 25,135 16,636 66.2 15,444 61.4 1,191 7.2 25,161 16,596 66.0 15,261 60.7 1,335 8.0 25.191 16,577 65.8 15,275 60.6 1,302 7.9 25,221 16,456 65.2 15,190 60.2 1,266 7.7 25,258 16.512 65.4 15,190 60.1 1,322 8.0 25,299 16,403 64.8 15,246 60.3 1,156 7.0 7,205 72.3 6,696 67.2 509 7.1 7,281 72.9 6,717 67.3 564 7.7 7,277 72.8 6,767 67.7 510 7.0 7,273 72.6 6,766 67.5 507 7.0 7,386 73.7 6,839 68.2 547 7.4 7,441 74.2 6,910 68.9 532 7.1 7,300 72.6 6,830 68.0 469 6.4 7,351 73.0 6,864 68.2 487 6.6 7,261 72.0 6,736 66.8 524 7.2 7,263 72.0 6,761 67.0 502 6.9 7,292 72.1 6,803 67.3 489 6.7 7,337 72.4 6,797 67.1 540 7.4 7,274 71.7 6,813 67.1 461 8,316 66.5 7,759 62.1 557 6.7 8,252 65.9 7,745 61.9 507 6.1 8,305 66.3 7,757 61.9 548 6.6 8,260 65.8 7,706 61.4 554 6.7 8,315 66.3 7,715 61.5 600 7.2 8,344 66.4 7,805 62.1 539 6.5 8,314 66.1 7,808 62.1 506 8,291 65.8 7,807 62.0 484 5.8 8,384 66.5 7,801 61.9 583 7.0 8,347 66.1 7,792 61.7 554 6.6 8.217 65.0 7,691 60.8 525 6.4 8,230 65.0 7,710 60.9 520 6.3 8,197 64.6 7,724 60.9 472 5.8 Women, 20 years and over Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Both sexes, 16 to 19 years Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Women BLACK Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio.... Unemployed Unemployment rate Men, 20 years and over Civilian labor force Percent of population Employed Employment-population ratio ... Unemployed Unemployment rate 6.3 Women, 20 years and over Civilian labor force Percent of population Employed Employment-population ratio... Unemployed Unemployment rate See footnotes at end of table. 6.1 HOUSEHOLD DATA SEASONALLY ADJUSTED A-4. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic origin, seasonally adjusted — Continued (Numbers in thousands) Employment status, race, sex, age, and Hispanic origin 2000 1999 Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. BLACK-Continued Both sexes, 16 to 19 years Civilian labor force Percent of population Employed Employment-population ratio ... Unemployed Unemployment rate Men Women 953 38.4 659 26.5 294 30.8 30.3 31.4 956 38.5 662 26.7 294 30.8 35.3 26.1 926 37.3 663 26.7 263 28.4 31.0 25.9 980 39.5 732 29.5 248 25.3 27.5 23.0 921 37.2 701 28.3 220 23.9 24.0 23.8 999 40.4 756 30.6 243 24.3 22.3 26.6 958 38.7 718 29.0 240 25.1 21.3 28.9 993 40.2 773 31.3 220 22.2 22.0 22.4 951 38.5 724 29.3 227 23.9 27.7 20.2 967 39.2 722 29.2 245 25.4 32.0 18.2 947 38.4 696 28.2 252 26.6 25.0 27.9 945 38.4 682 27.7 262 27.8 33.7 22.5 932 37.8 709 28.8 223 23.9 26.7 21.5 21,820 14,766 67.7 13,795 63.2 971 6.6 21,881 14,809 67.7 13,879 63.4 930 6.3 21,947 14,887 67.8 13,979 63.7 908 6.1 22,008 14,984 68.1 14,095 64.0 889 5.9 22,047 15,251 69.2 14,395 65.3 856 5.6 22,108 15,249 69.0 14,382 65.1 868 5.7 22,166 15,313 69.1 14,355 64.8 958 6.3 22,231 15,355 69.1 14,524 65.3 831 5.4 22,292 15,322 68.7 14,432 64.7 890 5.8 22,355 15,325 68.6 14,461 64.7 864 5.6 22,422 15,188 67.7 14,339 64.0 849 5.6 22,488 15,248 67.8 14,371 63.9 876 5.7 22,555 15,536 68.9 14,666 65.0 871 5.6 HISPANIC ORIGIN Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio ... Unemployed Unemployment rate 1 The population figures are not adjusted for seasonal variation. NOTE: Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups. Beginning in January 2000, data reflect revised population controls used in the household survey. HOUSEHOLD DATA SEASONALLY ADJUSTED A-5. Employment status of the civilian noninstitutional population 25 years and over by educational attainment, seasonally adjusted (Numbers in thousands) 2000 1999 Educational attainment Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept Less than a high school diploma Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 28,583 28,246 28,228 28,144 27,995 27,376 27,523 28,069 28,096 28,227 27,888 28,306 28,346 12,151 12,201 12,132 11,956 11,895 11,971 11,726 11,945 11,815 12,004 12,328 12,441 12,417 42.5 43.7 42.5 43.2 42.5 44.2 42.1 42.6 42.6 43.0 43.8 43.9 42.5 11,327 11,401 11,347 11,243 11,106 11,257 10,918 11,218 10,984 11,239 11,544 11,677 11,662 39.7 41.1 39.9 40.2 40.4 39.6 41.4 39.7 41.1 41.3 39.1 39.8 40.0 789 714 713 785 800 824 764 784 832 808 765 727 755 6.0 6.4 6.6 6.0 6.5 6.6 6.8 6.1 7.0 6.4 6.9 6.1 6.1 High school graduates, no college2 Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 57,518 57,275 57,789 57,590 57,768 57,471 58,033 58,015 57,746 57,581 57,144 56,882 57,244 37,188 37,080 37,671 37,362 37,617 37,603 37,671 37,666 37,224 36,910 37,018 36,589 36,682 65.1 65.4 64.9 65.2 64.7 64.9 64.7 64.1 64.3 64.8 64.5 64.1 64.9 35,879 35,874 36,445 36,071 36,305 36,294 36,401 36,401 35,895 35,659 35,782 35,238 35,463 63.2 62.6 62.7 62.7 62.8 62.4 62.0 62.2 63.1 62.6 62.6 61.9 62.0 1,291 1,270 1,309 1,311 1,226 1,309 1,329 1,251 1,265 1,206 1,219 1,350 1,236 3.5 3.4 3.5 3.4 3.4 3.5 3.3 3.3 3.5 3.7 3.6 3.3 3.3 Less than a bachelor's degree 3 Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 42,955 43,787 44,070 44,069 43,689 44,486 44,225 43,896 44,153 44,250 44,724 44,616 44,191 32,140 32,203 32,312 32,404 32,397 32,544 32,967 32,684 33,065 33,094 32,952 33,175 32,934 73.2 74.2 74.5 73.5 73.3 73.5 74.8 73.7 74.9 74.5 74.4 74.8 74.5 31,269 31,330 31,444 31,586 31,564 31,595 32,090 31,843 32,228 32,132 32,029 32,230 32,091 72.2 71.0 71.7 72.8 72.5 72.6 71.3 71.6 72.2 73.0 71.6 72.6 72.6 841 833 949 818 871 878 868 873 962 838 843 946 923 2.7 2.7 2.6 2.9 2.5 2.7 2.7 2.5 2.6 2.9 2.9 2.6 2.8 College graduates Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 1 2 3 45,081 44,986 44,365 44,821 45,058 45,247 44,838 44,864 45,029 45,092 45,549 45,718 45,863 35,722 35,721 35,264 35,824 36,205 36,265 36,060 36,099 36,011 35,988 35,877 35,903 36,017 79.4 80.4 80.1 80.4 79.9 80.5 79.5 79.2 78.5 78.8 79.8 80.0 78.5 35,112 35,106 34,655 35,186 35,540 35,678 35,481 35,545 35,433 35,437 35,254 35,250 35,319 78.9 77.4 79.2 79.1 78.9 78.5 78.0 77.9 77.1 78.6 78.7 78.1 77.0 665 623 579 587 638 615 610 653 551 577 553 609 697 1.7 1.8 1.7 1.6 1.6 1.8 1.8 1.5 1.6 1.5 1.7 1.9 1.7 The population figures are not adjusted for seasonal variation. Includes high school diploma or equivalent. Includes the categories, some college, no degree; and associate degree. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 10 HOUSEHOLD DATA SEASONALLY ADJUSTED A-6. Employed and unemployed full- and part-time workers by sex and age, seasonally adjusted (Numbers in thousands) Full- and part-time status, sex, and age 2000 1999 Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. EMPLOYED Full-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 110,413 110,877 111,227 111,562 112,089 112,129 112,248 113,054 112,271 112,326 112,051 112,154 112,509 63,985 64,005 64,259 64,358 64,727 64,883 64,933 65,097 64,772 65,009 65,038 65,346 65,006 62,621 62,607 62,825 62,914 63,407 63,468 63,501 63,620 63,238 63,427 63,548 63,815 63,560 46,452 46,847 46,968 47,161 47,152 47,195 47,253 47,841 47,442 47,424 47,115 46,888 47,576 45,497 45,822 45,907 46,094 46,189 46,187 46,357 46,787 46,387 46,331 46,089 45,900 46,435 2,554 2,474 2,515 2,646 2,645 2,389 2,439 2,448 2,495 2,493 2,568 2,415 2,295 22,946 7,485 5,213 15,450 12,964 4,769 22,975 7,581 5,295 15,377 12,932 4,748 23,224 7,552 5,197 23,210 7,557 5,193 15,666 13,169 4,734 23,081 7,610 5,255 15,483 12,996 4,830 15,641 15,627 13,075 4,951 Looking for full-time work Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 4,568 2,533 2,172 2,068 1,792 604 4,614 2,588 2,224 2,068 1,771 619 4,536 2,526 2,151 2,068 1,792 593 4,540 2,493 2,109 2,065 1,799 632 Looking for part-time work Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 1,228 504 207 707 424 597 1,146 499 216 625 377 553 1,191 502 199 686 406 586 1,175 520 236 640 384 555 Full-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 4.0 3.8 3.4 4.3 3.8 20.8 4.0 3.9 3.4 4.2 3.7 20.2 3.9 3.8 3.3 4.2 3.8 19.2 3.9 3.7 3.2 4.2 3.8 19.8 3.9 3.6 3.2 4.3 3.9 18.5 Part-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 5.0 6.2 3.8 4.3 3.1 11.2 4.7 6.2 3.9 3.9 2.8 10.3 4.9 6.3 3.7 4.3 3.0 10.9 4.9 6.4 4.3 4.0 2.9 10.5 4.6 6.0 3.9 3.8 3.1 8.9 Part-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 23,205 7,613 5,302 22,697 7,180 4,877 15,509 12,954 4,865 22,508 7,184 4,963 15,350 12,884 4,661 22,808 7,241 5,030 15,531 12,983 4,795 22,517 7,045 13,157 4,860 23,105 7,489 5,101 15,619 13,107 4,898 4,554 2,389 2,125 2,093 1,864 566 4,595 2,512 2,234 1,978 1,738 623 4,489 2 326 2,106 2,076 1,764 619 4,427 2,393 2,039 2,082 1,753 636 4,592 2,478 2,176 2,140 1,896 520 1,112 483 213 615 415 483 1,191 508 201 707 452 539 1,243 462 225 772 514 505 1,093 512 223 619 428 442 3.9 3.7 3.4 4.0 3.6 20.1 3.8 3.5 3.2 4.2 3.7 20.6 4.9 6.3 3.7 4.3 3.3 10.0 5.1 5.8 4.2 4.7 3.8 9.3 13,029 4,587 22,696 7,071 4,997 15,607 13,013 4,686 22,619 7,364 5,104 15,355 12,857 4,658 4,420 2,477 2,090 1,997 1,875 455 4,362 2,370 2,038 1,959 1,798 526 4,631 2,497 2,093 2,155 1,933 604 4,386 2,443 2,090 1,969 1,755 542 1,258 525 230 730 502 527 1,162 484 199 687 445 517 1,257 488 217 767 474 566 1,194 506 207 666 382 605 1,081 452 206 611 365 509 3.8 3.5 3.1 4.2 3.6 19.4 3.9 3.7 3.3 4.3 3.9 16.4 3.8 3.7 3.2 4.0 3.9 15.0 3.7 3.5 3.1 4.0 3.8 17.9 4.0 3.7 3.2 4.4 4.0 19.9 3.8 3.6 3.2 4.0 3.6 17.7 4.6 6.7 4.4 3.8 3.2 8.3 5.3 6.8 4.4 4.5 3.7 10.2 4.8 6.3 3.8 4.2 3.3 9.7 5.3 6.5 4.2 4.7 3.5 11.0 5.0 6.7 4.0 4.1 2.9 11.4 4.6 5.8 3.9 3.8 2.8 9.9 4,901 15,533 UNEMPLOYED UNEMPLOYMENT RATES1 1 These rates reflect a refined definition of the full- and part-time labor force and differ from the rates published elsewhere in this publication prior to 1994. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 11 HOUSEHOLD DATA SEASONALLY ADJUSTED A-7. Employed persons by marital status, occupation, class of worker, and part-time status, seasonally adjusted (In thousands) 2000 1999 Category Sept. Oct. Nov. Dec, Jan. Feb. Mar. Apr. May June July Aug. Sept. MARITAL STATUS Total Married men, spouse present Married women, spouse present Women who maintain families 133,650 133,940 134,098 134,420 135,221 135,362 135,159 135,706 134,715 135,179 134,749 134,912 135,161 43,367 43,206 43,273 43,283 43,951 43,535 43,297 43,272 43,216 43,357 43,284 43,372 43,324 33,275 33,521 33,635 33,762 34,166 33,882 33,780 33,877 33,786 33,824 33,618 33,413 33,402 8,526 8,312 8,398 8,375 8,362 8,220 8,082 8,307 8,301 8,280 8,483 8,519 8,548 OCCUPATION Managerial and professional specialty Technical, sales, and administrative support Service occupations Precision production, craft, and repair Operators, fabricators, and laborers Farming, forestry, and fishing 40,784 40,718 40,363 40,800 40,924 40,806 40,595 40,665 40,858 41,148 40,784 40,937 40,963 38,634 17,876 14,659 18,227 3,365 39,023 17,694 14,836 18,340 3,365 39,283 17,633 14,903 18,476 3,407 39,311 17,706 14,940 18,299 3,367 39,614 18,155 14,610 18,385 3,574 39,703 18,344 14,681 18,279 3,630 39,510 18,711 14,520 18,334 3,562 39,680 18,885 14,501 18,453 3,477 39,537 18,181 14,867 18,020 3,410 39,270 18,090 14,888 18,430 3,368 39,239 17,877 15,236 18,296 3,309 39,026 17,675 15,263 18,592 3,400 38,966 18,128 15,156 18,501 3,395 1,930 1,198 40 1,936 1,267 42 2,049 1,216 41 2,018 1,211 36 2,024 1,320 38 2,025 1,344 51 2,043 1,292 42 2,054 1,272 43 2,006 1,252 38 2,059 1,175 50 2,079 1,182 40 2,056 1,258 37 2,010 1,288 39 CLASS OF WORKER Agriculture: Wage and salary workers Self-employed workers Unpaid family workers Nonagricultural industries: Wage and salary workers Private industries Private households Other industries Government Self-employed workers Unpaid family workers 121,583 121,654 121,965 122,426 122,823 123,166 123,169 123,623 122,860 123,002 122,681 122,773 122,992 102,503 102,837 103,063 103,467 103,810 103,772 103,571 104,343 103,691 104,225 104,184 104,277 104,013 939 944 948 952 998 953 957 1,035 1,016 807 1,019 716 812 101,468 101,898 102,119 102,519 102,858 102,756 102,573 103,324 102,738 103,268 103,377 103,561 103,201 18,777 18,497 18,496 18,979 19,080 18,817 18,902 18,959 19,013 19,394 19,598 19,280 19,169 8,833 8,686 8,662 8,802 8,704 8,714 8,665 8,609 8,791 8,793 8,590 8,799 8,750 101 108 98 92 107 82 71 80 100 74 116 105 103 PERSONS AT WORK PART TIME1 All industries: Part time for economic reasons Slack work or business conditions Could only find part-time work Part time for noneconomic reasons 3,283 1,922 1,073 18,801 3,179 1,928 993 18,799 3,274 1,930 1,032 18,651 3,320 1,951 1,025 18,618 3,219 1,893 1,012 18,889 3,139 1,807 1,023 19,031 3,124 1,820 953 18,770 3,124 1,844 1,016 18,474 3,248 1,962 978 18,409 3,117 1,811 1,022 18,308 3,071 1,846 900 18,558 3,164 1,997 855 18,709 3,189 2,101 815 18,456 Nonagricultural industries: Part time for economic reasons Slack work or business conditions Could only find part-time work Part time for noneconomic reasons 3,112 1,806 1,063 18,273 2,983 1,807 964 18,249 3,105 1,815 1,013 18,083 3,157 1,843 1,018 18,061 3,066 1,801 986 18,347 2,985 1,705 1,005 18,406 3,003 1,766 922 18,184 3,021 1,782 989 17,943 3,096 1,840 962 17,853 2,967 1,713 994 17,743 2,940 1,750 881 18,041 3,038 1,924 838 18,190 3,021 1,983 804 17,879 1 Persons at work excludes employed persons who were absent from their jobs during the entire reference week for reasons such as vacation, illness, or industrial dispute. Part time for noneconomic reasons excludes persons who usually work full time but worked only 1 to 34 hours during the reference week for reasons such as holidays, illness, and bad weather. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 12 HOUSEHOLD DATA SEASONALLY ADJUSTED A-8. Employed persons by age and sex, seasonally adjusted (In thousands) 2000 1999 Age and sex Sept. Total, 16 years and over.... 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Men, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Women, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Oct. Nov. Dec. Jan. Mar. Apr. May June July Aug. Sept. 133,650 133,940 134,098 134,420 135,221 135,362 135,159 135,706 134,715 135,179 134,749 134,912 135,161 20,106 20,226 20,188 20,334 20,621 20,473 20,478 20,743 20,211 20,683 20,292 20,538 20,762 7,356 7,087 7,273 7,257 7,467 7,237 7,265 7,471 7,206 7,077 7,242 7,223 7,195 2,855 2,615 2,794 2,832 2,817 2,732 2,914 2,737 2,803 2,765 2,834 2,797 2,785 4,492 4,454 4,452 4,432 4,632 4,539 4,561 4,472 4,309 4,411 4,421 4,461 4,413 13,029 12,984 12,965 13,069 13,265 13,200 13,221 13,276 12,974 13,212 13,205 13,332 13,567 113,539 113,666 113,897 114,075 114,641 114,810 114,737 115,009 114,585 114,453 114,478 114,440 114,413 96,200 96,436 96,635 96,729 97,199 97,246 97,120 97,349 96,841 96,790 96,768 96,566 96,657 17,377 17,255 17,252 17,406 17,447 17,603 17,604 17,620 17,617 17,683 17,735 17,888 17,823 71,630 71,623 71,732 71,927 72,358 72,473 72,313 72,307 71,948 72,217 72,063 72,407 72,352 10,540 3,687 1,421 2,247 6,853 61,083 51,431 9,649 10,521 3,725 1,462 2,267 6,796 61,073 51,523 9,542 10,508 3,695 1,439 2,234 6,813 61,202 51,673 9,574 10,570 3,730 1,445 2,278 6,840 61,349 51,732 9,649 10,727 3,773 1,471 2,301 6,954 61,585 51,944 9,658 10,745 3,782 1,494 2,267 6,963 61,702 51,928 9,784 10,858 3,833 1,510 2,334 7,025 61,482 51,800 9,723 10,858 3,825 1,436 2,385 7,033 61,426 51,796 9,630 10,556 3,718 1,404 2,349 6,838 61,430 51,664 9,691 10,748 3,787 1,486 2,306 6,962 61,456 51,781 9,679 10,556 3,623 1,313 2,296 6,933 61,530 51,803 9,739 10,683 3,650 1,389 2,256 7,032 61,771 51,851 9,952 10,737 3,654 1,394 2,256 7,084 61,618 51,823 9,801 62,020 62,317 62,366 62,493 62,863 62,889 62,846 63,399 62,767 62,962 62,686 62,505 62,809 9,566 3,390 1,344 2,062 6,176 52,456 44,769 7,728 9,705 3,517 1,372 2,144 6,188 52,593 44,913 7,713 9,680 3,528 1,358 2,187 6,152 52,695 44,962 7,678 9,764 3,535 1,358 2,183 6,229 52,726 44,997 7,757 9,894 3,584 1,385 2,190 6,310 53,056 45,254 7,788 9,728 3,491 1,300 2,185 6,237 53,108 45,319 7,818 9,620 3,424 1,322 2,098 6,196 53,255 45,321 7,882 9,885 3,642 1,381 2,247 6,243 53,583 45,553 7,990 9,655 3,519 1,328 2,190 6,136 53,155 45,177 7,926 9,934 3,684 1,428 2,254 6,250 52,997 45,009 8,004 9,736 3,464 1,302 2,158 6,271 52,947 44,965 7,996 9,855 3,556 1,348 2,216 6,299 52,669 44,715 7,936 10,024 3,541 1,391 2,157 6,483 52,795 44,834 8,023 NOTE: Beginning in January 2000, data reflect revised population controls Feb. used in the household survey. 13 HOUSEHOLD DATA SEASONALLY ADJUSTED A-9. Unemployed persons by age and sex, seasonally adjusted (In thousands) 1999 2000 Age and sex Total, 16 years and over.... 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Men, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Women, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. 5,825 5,757 5,736 5,688 5,689 5,804 5,708 5,524 5,774 5.583 5,650 5,829 5,477 2,226 1,210 531 690 1,016 3,618 3,147 461 2,247 1,161 536 623 1,086 3,510 3,043 472 2,249 1,171 553 619 1,078 3,488 3,048 459 2,209 1,160 553 612 1,049 3,479 2,987 477 2,119 1,060 465 577 1,059 3,578 3,089 494 2,267 1,197 529 653 1,071 3,520 2,997 546 2,199 1,117 510 607 1,082 3,531 3,044 498 2,115 1,082 481 597 1,033 3,411 2,964 427 2,198 1,034 521 525 1,164 3,556 3,132 440 2,048 981 439 543 1,067 3,515 3,118 418 2,066 1,101 515 577 965 3,581 3,158 430 2,128 1,209 566 644 919 3,700 3,219 486 1,977 1,056 519 554 921 3,518 3,009 518 3,013 3,057 2,996 3,003 2,946 3,121 2,885 2,882 2,934 2,903 2,854 3,005 2,881 1,163 628 283 341 535 1,859 1,575 292 1,222 616 268 346 606 1,842 1,578 278 1,194 645 292 353 549 1,789 1,531 252 1,252 671 311 356 581 1,757 1,493 246 1,150 613 246 364 537 1,800 1,552 248 1,236 691 312 367 544 1,861 1,574 281 1,106 543 269 274 563 1,781 1,500 278 1,153 603 270 337 550 1,735 1,462 268 1,179 562 286 283 617 1,744 1,506 256 1,128 619 274 354 509 1,772 1,549 220 1,117 591 277 310 526 1,747 1,505 243 1,201 695 283 415 506 1,802 1,541 275 1,104 578 295 279 527 1,778 1,518 265 2,812 2,700 2,740 2,685 2,743 2,683 2,823 2,642 2,839 2,680 2,796 2,824 2,597 1,063 582 248 349 481 1,759 1,572 169 1,025 545 268 277 480 1,668 1,465 194 1,055 526 261 266 529 1,699 1,517 207 957 489 242 256 468 1,722 1,494 231 969 447 219 213 522 1,778 1,537 245 1,032 505 217 286 526 1,659 1,424 266 1,093 574 241 334 520 1,751 1,544 219 962 479 211 260 483 1,676 1,502 159 1,019 472 235 241 546 1,811 1,625 184 919 362 165 190 558 1,742 1,568 198 949 510 238 266 439 1,834 1,653 187 927 514 283 229 413 1,899 1,678 211 872 479 225 275 394 1,740 1,491 253 NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 14 HOUSEHOLD DATA SEASONALLY ADJUSTED A-10. Unemployment rates by age and sex, seasonally adjusted (Percent) 2000 1999 Age and sex Sept. Total, 16 years and over.... 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Men, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Women, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Oct. Nov. Dec. Jan. Mar. Apr. May June July Aug. Sept. 4.2 4.1 4.1 4.1 4.0 4.1 4.1 3.9 4.1 4.0 4.0 4.1 3.9 10.0 14.6 16.1 13.8 7.2 3.1 3.2 2.6 10.0 13.8 15.9 12.4 7.7 3.0 3.1 2.7 10.0 14.0 16.5 12.3 7.7 3.0 3.1 2.6 9.8 13.8 16.5 12.1 7.4 3.0 3.0 2.7 9.3 12.6 14.0 11.4 7.4 3.0 3.1 2.8 10.0 14.1 15.9 12.8 7.5 3.0 3.0 3.0 9.7 13.3 15.3 12.1 7.6 3.0 3.0 2.7 9.3 12.7 14.6 11.4 7.2 2.9 3.0 2.4 9.8 12.5 16.0 10.4 8.2 3.0 3.1 2.4 9.0 11.6 13.1 10.6 7.5 3.0 3.1 2.3 9.2 13.4 16.5 11.5 6.8 3.0 3.2 2.4 9.4 14.4 17.1 12.6 6.4 3.1 3.2 2.6 8.7 12.8 15.7 11.2 6.4 3.0 3.0 2.8 4.0 4.1 4.0 4.0 3.9 4.1 3.8 3.8 3.9 3.9 3.8 4.0 3.8 9.9 14.6 16.6 13.2 7.2 3.0 3.0 2.9 10.4 14.2 15.5 13.2 8.2 2.9 3.0 2.8 10.2 14.9 16.9 13.6 7.5 2.8 2.9 2.6 10.6 15.2 17.7 13.5 7.8 2.8 2.8 2.5 9.7 14.0 14.3 13.7 7.2 2.8 2.9 2.5 10.3 15.5 17.3 13.9 7.3 2.9 2.9 2.8 9.2 12.4 15.1 10.5 7.4 2.8 2.8 2.8 9.6 13.6 15.8 12.4 7.3 2.7 2.7 2.7 10.0 13.1 16.9 10.8 8.3 2.8 2.8 2.6 9.5 14.1 15.6 13.3 6.8 2.8 2.9 2.2 9.6 14.0 17.4 11.9 7.1 2.8 2.8 2.4 10.1 16.0 16.9 15.5 6.7 2.8 2.9 2.7 9.3 13.6 17.4 11.0 6.9 2.8 2.8 2.6 4.3 4.2 4.2 4.1 4.2 4.1 4.3 4.0 4.3 4.1 4.3 4.3 4.0 10.0 14.7 15.6 14.5 7.2 3.2 3.4 2.1 9.6 13.4 16.3 11.4 7.2 3.1 3.2 2.5 9.8 13.0 16.1 10.8 7.9 3.1 3.3 2.6 8.9 12.2 15.1 10.5 7.0 3.2 3.2 2.9 8.9 11.1 13.7 8.9 7.6 3.2 3.3 3.1 9.6 12.6 14.3 11.6 7.8 3.0 3.0 3.3 10.2 14.4 15.4 13.7 7.7 3.2 3.3 2.7 8.9 11.6 13.3 10.4 7.2 3.0 3.2 2.0 9.5 11.8 15.0 9.9 8.2 3.3 3.5 2.3 8.5 8.9 10.4 7.8 8.2 3.2 3.4 2.4 8.9 12.8 15.5 11.0 6.5 3.3 3.5 2.3 8.6 12.6 17.3 9.4 6.2 3.5 3.6 2.6 8.0 11.9 13.9 11.3 5.7 3.2 3.2 3.1 NOTE: Beginning in January 2000, data reflect revised population controls Feb. used in the household survey. 15 HOUSEHOLD DATA SEASONALLY ADJUSTED A-11. Unemployment rates by occupation, industry, and selected demographic characteristics, seasonally adjusted (Percent) 2000 Category Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. 4.2 3.4 3.7 14.6 4.1 3.5 3.5 13.8 4.1 3.3 3.6 4.1 3.3 3.6 4.1 3.3 3.6 13.3 3.9 3.2 3.5 12.7 4.1 3.4 3.8 12.5 4.0 3.2 3.8 11.6 4.0 3.2 3.7 13.4 3.8 14.4 3.9 3.2 3.5 13.8 4.1 3.4 3.5 14.1 4.1 3.2 14.0 4.0 3.3 3.7 12.6 12.8 White Black and other Black Hispanic origin 3.6 7.2 8.3 6.6 3.5 7.2 8.3 6.3 3.5 7.1 8.0 6.1 3.5 7.0 7.9 5.9 3.4 7.1 8.2 5.6 3.6 6.9 7.8 5.7 3.6 6.6 7.3 6.3 3.5 6.3 7.2 5.4 3.5 7.2 8.0 5.8 3.4 6.9 7.9 5.6 3.5 6.7 7.7 5.6 3.6 7.0 8.0 5.7 3.5 6.1 7.0 5.6 Married men, spouse present Married women, spouse present Women who maintain families 2.2 2.6 6.4 2.2 2.5 6.0 2.1 2.5 6.0 2.2 2.5 6.2 2.0 2.6 6.2 2.1 2.6 6.1 2.0 2.7 6.8 1.8 2.6 6.3 1.9 2.9 6.5 1.9 2.6 6.1 2.0 2.8 5.6 2.0 2.9 6.0 2.1 2.8 5.3 1.8 3.5 3.9 6.4 5.3 1.8 3.5 4.0 6.3 5.8 1.8 3.6 3.7 6.2 6.7 1.7 3.6 4.0 6.1 5.8 1.8 3.4 3.7 6.1 4.7 1.6 3.7 4.2 6.1 5.7 1.8 3.5 3.8 6.4 5.1 1.7 3.3 3.5 6.6 7.0 1.8 3.7 3.4 6.3 5.5 1.6 3.6 3.5 6.1 5.0 1.9 3.6 3.5 6.3 5.7 1.9 4.0 3.1 6.4 6.4 1.8 3.4 3.4 6.1 5.4 4.3 4.8 6.7 6.9 3.9 4.0 3.9 4.1 2.8 5.2 2.3 4.1 2.0 5.7 4.2 4.5 5.0 6.7 3.7 3.5 4.0 4.1 3.1 4.9 2.3 4.0 2.1 7.7 4.2 4.2 4.6 5.7 3.7 3.7 3.7 4.1 3.3 5.3 2.3 3.9 2.0 8.3 4.1 4.4 4.1 6.6 3.6 3.6 3.5 4.0 3.0 5.2 2.1 3.8 2.1 7.1 4.2 4.1 2.6 6.4 3.2 2.8 3.9 4.3 3.7 5.1 2.5 4.2 2.1 5.0 4.2 4.4 4.0 7.5 3.3 3.0 3.8 4.1 3.2 5.3 2.9 3.7 2.2 6.5 4.3 4.6 2.5 6.9 3.9 3.0 5.2 4.2 3.1 5.4 2.4 4.0 1.7 5.6 4.0 4.3 2.8 5.2 4.0 3.9 4.1 3.9 2.9 4.9 2.6 3.7 1.7 8.4 4.2 4.2 4.2 5.8 3.7 3.6 3.7 4.2 3.2 5.1 2.4 4.1 2.0 7.6 4.0 4.1 3.5 5.9 3.4 3.5 3.1 4.0 2.7 5.2 2.3 3.8 2.5 7.3 4.1 4.3 5.1 5.9 3.6 3.3 4.0 4.1 3.2 5.0 2.1 4.0 2.1 7.0 4.1 4.4 4.6 6.5 3.5 3.1 4.3 4.1 3.1 5.1 2.5 3.8 2.4 8.5 4.0 4.5 5.8 6.4 3.6 3.1 4.4 3.8 3.3 4.7 2.0 3.6 2.0 7.8 CHARACTERISTIC Total Men, 20 years and over Women, 20 years and over Both sexes, 16 to 19 years OCCUPATION1 Managerial and professional specialty Technical, sales, and administrative support Precision production, craft, and repair Operators, fabricators, and laborers Farming, forestry, and fishing INDUSTRY Nonagricultural private wage and salary workers Goods-producing industries Mining Construction Manufacturing Durable goods Nondurable goods Service-producing industries Transportation and public utilities Wholesale and retail trade Finance, insurance, and real estate Services Government workers Agricultural wage and salary workers 1 Seasonally adjusted data for service occupations are not available because the seasonal component, which is small relative to the trend-cycle and irregular components, cannot be separated with sufficient precision. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 16 HOUSEHOLD DATA SEASONALLY ADJUSTED A-12. Unemployed persons by reason for unemployment, seasonally adjusted (Numbers in thousands) 1999 2000 Reason Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. 2,518 802 1,716 778 1,958 511 2,493 851 1,642 821 1,935 485 2,401 795 1,606 825 2,036 453 2,477 739 1,739 776 2,043 393 2,616 838 1,778 759 1,975 387 2,541 781 1,759 824 1,979 434 2,306 703 1,602 833 1,961 408 2,483 894 1,589 774 2,093 500 2,450 959 1,491 671 2,076 343 2,417 856 1,561 799 1,961 402 2,615 940 1,674 782 1,919 514 2,511 823 1,688 746 1,774 411 Sept. NUMBER OF UNEMPLOYED Job losers and persons who completed temporary jobs .... 2,573 869 On temporary layoff 1,704 Not on temporary layoff 758 Job leavers 1,967 Reentrants 504 New entrants PERCENT DISTRIBUTION Job losers and persons who completed temporary jobs .... On temDorarv lavoff Not on temporary layoff Job leavers Reentrants New entrants 44.3 15.0 29.4 13.1 33.9 8.7 43.7 13.9 29.8 13.5 34.0 8.9 43.5 14.8 28.6 14.3 33.7 8.5 42.0 13.9 28.1 14.4 35.6 7.9 43.5 13.0 30.6 13.6 35.9 6.9 45.6 14.6 31.0 13.2 34.4 6.7 44.0 13.5 30.5 14.3 34.3 7.5 41.9 12.8 29.1 15.1 35.6 7.4 42.4 15.3 27.2 13.2 35.8 8.5 44.2 17.3 26.9 12.1 37.5 6.2 43.3 15.3 28.0 14.3 35.1 7.2 44.8 16.1 28.7 13.4 32.9 8.8 46.2 15.1 31.0 13.7 32.6 7.5 1.8 .5 1.4 .4 1.8 .6 1.4 .4 1.8 .6 1.4 .3 1.7 .6 1.5 .3 1.8 .6 1.4 .3 1.9 .5 1.4 .3 1.8 .6 1.4 .3 1.6 .6 1.4 .3 1.8 .6 1.5 .4 1.7 .5 1.5 .2 1.7 .6 1.4 .3 1.9 .6 1.4 .4 1.8 5 13 .3 UNEMPLOYED AS A PERCENT OF THE CIVILIAN LABOR FORCE Job losers and persons who completed temporary jobs .... Job leavers Reentrants New entrants NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. A-13. Unemployed persons by duration of unemployment, seasonally adjusted (Numbers in thousands) 1999 2000 Duration Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. 2,582 2,545 1,811 2,601 1,760 1,401 725 2,620 1,694 604 1,295 657 637 677 660 2,595 1,759 1,242 593 649 2,470 1,812 1,331 654 677 2,594 676 2,455 1,868 1,250 670 580 2,531 693 695 2,603 1,864 1,277 673 715 2,447 1,754 1,372 667 705 2,824 1,719 1,434 719 1,846 1,384 679 705 2,487 1,717 1,226 602 624 13.0 5.9 13.2 6.3 13.0 6.2 12.8 5.9 13.2 5.7 12.5 6.1 12.8 6.0 12.4 6.0 12.6 5.8 12.4 5.8 13.3 6.0 13.0 6.2 11.9 5.2 100.0 44.5 31.1 24.3 12.2 12.1 100.0 44.0 31.3 24.8 12.4 12.3 100.0 45.1 30.5 24.3 12.6 11.7 100.0 45.9 29.7 24.3 12.2 12.2 100.0 43.9 31.5 24.6 12.0 12.7 100.0 45.3 32.5 22.2 11.7 10.5 100.0 48.4 29.4 22.2 11.3 10.9 100.0 44.1 33.5 22.4 12.0 10.4 100.0 43.5 33.5 23.0 11.6 11.3 100.0 46.4 31.4 22.2 10.6 11.6 100.0 44.0 32.3 23.7 11.7 12.1 100.0 44.5 31.7 23.8 11.7 12.1 100.0 45.8 31.6 22.6 11.1 11.5 NUMBER OF UNEMPLOYED Less than 5 weeks 5 to 14 weeks 15 weeks and over 15 to 26 weeks 27 weeks and over Average (mean) duration, in weeks Median duration, in weeks 1,805 1,412 708 704 1,388 1,953 1,337 PERCENT DISTRIBUTION Total unemployed Less than 5 weeks 5 to 14 weeks 15 weeks and over 15 to 26 weeks 27 weeks and over NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 17 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-14. Employment status of the civilian noninstitutional population by age, sex, and race (Numbers in thousands) September 2000 Civilian labor force Age, sex, and race Civilian noninstitutional population Employed Total Percent of population Total Percent of population Unemployed Agriculture Nonagricultural industries Number Percent of labor force Not in labor force TOTAL 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 to 54 years 25 to 34 years 25 to 29 years 30 to 34 years 35 to 44 years 35 to 39 years 40 to 44 years 45 to 54 years 45 to 49 years 50 to 54 years 55 to 64 years 55 to 59 years 60 to 64 years 65 years and over... 65 to 69 years 70 to 74 years 75 years and over. 210,161 15,977 7,928 8,049 18,540 119,046 37,289 17,884 19,405 44,662 21,991 22,671 37,095 19,904 17,190 23,804 13,260 10,544 32,794 9,258 8,523 15,012 140,357 7,852 3,156 4,696 14,305 99,810 31,346 15,005 16,341 37,853 18,537 19,316 30,611 16,792 13,819 14,097 9,117 4,980 4,293 2,318 1,174 801 66.8 49.1 39.8 58.3 77.2 83.8 84.1 83.9 84.2 84.8 84.3 85.2 82.5 84.4 80.4 59.2 68.8 47.2 13.1 25.0 13.8 5.3 135,033 6,840 2,726 4,114 13,390 96,897 30,237 14,434 15,803 36,802 18,022 18,780 29,858 16,336 13,522 13,766 8,911 4,855 4,139 2,226 1,125 788 64.3 42.8 34.4 51.1 72.2 81.4 81.1 80.7 81.4 82.4 82.0 82.8 80.5 82.1 78.7 57.8 67.2 46.0 12.6 24.0 13.2 5.2 3,510 249 116 132 344 2,098 609 284 325 831 435 396 657 370 287 475 208 266 346 163 93 90 131.523 6,591 2,610 3.981 13,047 94,800 29,627 14,150 15,478 35,971 17,587 18,384 29,201 15,966 13,235 13,292 8,703 4,589 3,794 2,063 1,033 697 5,324 1,012 430 582 915 2,913 1.109 571 538 1,051 515 536 753 456 297 331 206 125 153 91 49 13 3.8 12.9 13.6 12.4 6.4 2.9 3.5 3.8 3.3 2.8 2.8 2.8 2.5 2.7 2.1 2.3 2.3 2.5 3.6 3.9 4.1 1.6 69,804 8,125 4,772 3.353 4,235 19,236 5,943 2,879 3,065 6,809 3,454 3,355 6.483 3,112 3,372 9,707 4,142 5,564 28,501 6,941 7,349 14,211 100,963 8,100 4,055 4,044 9,226 58,317 18,211 8.685 9,525 22,001 10,831 11,170 18,106 9,758 8,348 11,344 6,361 4,983 13,976 4,294 3.775 5,907 74,983 4,029 1,606 2,424 7,499 53,315 16,901 7,939 8,962 20,317 10,076 10,241 16,097 8,800 7,296 7,658 4,956 2,702 2,482 1.342 679 461 74.3 49.7 39.6 59.9 81.3 91.4 92.8 91.4 94.1 92.3 93.0 91.7 88.9 90.2 87.4 67.5 77.9 54.2 17.8 31.3 18.0 7.8 72,317 3,494 1,369 2,125 7,008 51,938 16,381 7,681 8,699 19,838 9,845 9,993 15,719 8,580 7,139 7,506 4,856 2,650 2,372 1,280 640 452 71.6 43.1 33.8 52.5 76.0 89.1 90.0 88.4 91.3 90.2 90.9 89.5 86.8 87.9 85.5 66.2 76.3 53.2 17.0 29.8 17.0 7.6 2.673 199 87 112 278 1.576 461 216 245 627 337 290 488 283 204 351 170 181 269 122 67 79 69,644 3,295 1,282 2,013 6,730 50.361 15.920 7,465 8,454 19.210 9,507 9,703 15.231 8,297 6,935 7,155 4,686 2.469 2,103 1.158 573 373 2,666 536 237 299 491 1,377 520 258 262 480 232 248 377 220 157 152 100 52 110 62 39 10 3.6 13.3 14.7 12.3 6.5 2.6 3.1 3.2 2.9 2.4 2.3 2.4 2.3 2.5 2.2 2.0 2.0 1.9 4.4 4.6 5.7 2.1 25.980 4,071 2,450 1,621 1.727 5,002 1.309 746 563 1.684 754 929 2,009 957 1,052 3,686 1,405 2,281 11,494 2,952 3,096 5,445 109,198 7,877 3,873 4,005 9.314 60.728 19,079 9,199 9,880 22,661 11,160 11,501 18,989 10,147 8,842 12,461 6,899 5,562 18,818 4,964 4,748 9,105 65,374 3,823 1,551 2,272 6.807 46.495 14,445 7,066 7,379 17,536 8,461 9.075 14,515 7,992 6,522 6,439 4,161 2,278 1.811 976 495 340 59.9 48.5 40.0 56.7 73.1 76.6 75.7 76.8 74.7 77.4 75.8 78.9 76.4 78.8 73.8 51.7 60.3 41.0 9.6 19.7 10.4 3.7 62,716 3,346 1,357 1,989 6.383 44.960 13.856 6,752 7.104 16,965 8,177 8,787 14,139 7,756 6,383 6,260 4,055 2,206 1,768 946 485 336 57.4 42.5 35.0 49.7 68.5 74.0 72.6 73.4 71.9 74.9 73.3 76.4 74.5 76.4 72.2 50.2 58.8 39.7 9.4 19.1 10.2 3.7 837 50 29 21 66 521 148 68 80 204 98 106 169 86 83 123 38 85 77 40 25 11 61,879 3.296 1.328 1.968 6.317 44.438 13,708 6,684 7,023 16.761 8,080 8,681 13,970 7,670 6,300 6,137 4,016 2,120 1,691 906 460 325 2,658 477 194 283 424 1,535 589 313 275 571 283 288 376 236 140 179 107 72 43 29 10 4 4.1 12.5 12.5 12.5 6.2 3.3 4.1 4.4 3.7 3.3 3.3 3.2 2.6 3.0 2.1 2.8 2.6 3.2 2.4 3.0 2.0 1.1 43,824 4.055 2,322 1,733 2,507 14,233 4,634 2,133 2.501 5,125 2,700 2,426 4,474 2,155 2,319 6,021 2,737 3,284 17,007 3,989 4,253 8,766 Men 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 to 54 years 25 to 34 years 25 to 29 years 30 to 34 years 35 to 44 years 35 to 39 years 40 to 44 years 45 to 54 years 45 to 49 years 50 to 54 years 55 to 64 years 55 to 59 years 60 to 64 years 65 years and over 65 to 69 years 70 to 74 years 75 years and over... Women 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 to 54 years 25 to 34 years 25 to 29 years 30 to 34 years 35 to 44 years 35 to 39 years 40 to 44 years 45 to 54 years 45 to 49 years 50 to 54 years 55 to 64 years 55 to 59 years 60 to 64 years 65 years and over 65 to 69 years 70 to 74 years 75 years and over See footnotes at end of table. 18 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-14. Employment status of the civilian noninstitutional population by age, sex, and race — Continued (Numbers in thousands) September 2000 Civi ian labor force Age, sex, and race Civilian noninstitutional population Employed Total Percent of population Total Percent of population Unemployed Agriculture Nonagricultural industries Number Percent of labor force Not in labor force WHITE 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 to 54 years 25 to 34 years 25 to 29 years 30 to 34 years 35 to 44 years 35 to 39 years 40 to 44 years 45 to 54 years 45 to 49 years 50 to 54 years 55 to 64 years 55 to 59 years 60 to 64 years 65 years and over 65 to 69 years 70 to 74 years 75 years and over 174,745 12,699 6,298 6,401 14,812 97,819 29,852 14,182 15.670 36.657 17,979 18,678 31,311 16,640 14,671 20,428 11,372 9,056 28.986 7,957 7,529 13,501 117.237 6.654 2.712 3.942 11,780 82,699 25,221 12,006 13.215 31.329 15,240 16,090 26.148 14,186 11,963 12,284 7,911 4,372 3,819 2,026 1,068 726 67.1 52.4 43.1 61.6 79.5 84.5 84.5 84.7 84.3 85.5 84.8 86.1 83.5 85.3 81.5 60.1 69.6 48.3 13.2 25.5 14.2 5.4 113.334 5,888 2,386 3,502 11,180 80,584 24,467 11,608 12,859 30,564 14,876 15,687 25.553 13.832 11.721 11,993 7,739 4,254 3,689 1,949 1,024 716 64.9 46.4 37.9 54.7 75.5 82.4 82.0 81.8 82.1 83.4 82.7 84.0 81.6 83.1 79.9 58.7 68.1 47.0 12.7 24.5 13.6 5.3 3,277 240 111 129 312 1,960 569 273 296 799 418 381 593 341 252 439 192 246 326 154 89 82 110,057 5,648 2,275 3.373 10,868 78,623 23.898 11.334 12,564 29,765 14,459 15,306 24,960 13,491 11,470 11,554 7,547 4,007 3,364 1.795 935 634 3,903 766 326 441 600 2,115 754 398 356 766 363 402 595 354 241 291 172 119 130 77 44 10 3.3 11.5 12.0 11.2 5.1 2.6 3.0 3.3 2.7 2.4 2.4 2.5 2.3 2.5 2.0 2.4 2.2 2.7 3.4 3.8 4.1 1.4 57,508 6,045 3,586 2,459 3,032 15.120 4,630 2,176 2.455 5.328 2,739 2,588 5,162 2.454 2,708 8,145 3,461 4,684 25,167 5,931 6,461 12,775 84,811 6,491 3,243 3,249 7,468 48,572 14,819 7,032 7,787 18,288 8,964 9,324 15,466 8,252 7,214 9,861 5,524 4,337 12,419 3,719 3.383 5.316 63,683 3,456 1,384 2,071 6,282 44,956 13,924 6,523 7,401 17,107 8,428 8,679 13,924 7,530 6,395 6,754 4,358 2,396 2,236 1,193 620 422 75.1 53.2 42.7 63.8 84.1 92.6 94.0 92.8 95.0 93.5 94.0 93.1 90.0 91.2 88.6 68.5 78.9 55.3 18.0 32.1 18.3 7.9 61,703 3,043 1,202 1,842 5,947 43,966 13,565 6,334 7,232 16,762 8,257 8,505 13,639 7,366 6,273 6,609 4,265 2,344 2,137 1,139 586 413 72.8 46.9 37.1 56.7 79.6 90.5 91.5 90.1 92.9 91.7 92.1 91.2 88.2 89.3 87.0 67.0 77.2 54.0 17.2 30.6 17.3 7.8 2,462 190 82 108 250 1,455 427 208 219 600 323 277 428 255 173 317 154 163 249 114 64 71 59,242 2,853 1,120 1,734 5,697 42,511 13,138 6,126 7,012 16,162 7,933 8,228 13,211 7,112 6,100 6,292 4.111 2,181 1,889 1,025 522 342 1,980 412 183 230 335 989 359 189 169 346 172 174 285 163 122 145 92 52 98 55 34 10 3.1 11.9 13.2 11.1 5.3 2.2 2.6 2.9 2.3 2.0 2.0 2.0 2.0 2.2 1.9 2.1 2.1 2.2 4.4 4.6 5.4 2.3 21,128 3,036 1,858 1,177 1,185 3,617 895 508 386 1,180 535 645 1,542 723 819 3,107 1,167 1,941 10,183 2,525 2,764 4,894 89,934 6,208 3,055 3,152 7,344 49,247 15,033 7,150 7,883 18,369 9.016 9,353 15,845 8,388 7,457 10,567 5,848 4,719 16,567 4,238 4,145 8.184 53,554 3,198 1,328 1,871 5,498 37,743 11,297 5,483 5,815 14,222 6.811 7,411 12,224 6.656 5,568 5,530 3,554 1,976 1,584 833 448 303 59.5 51.5 43.5 59.3 74.9 76.6 75.2 76.7 73.8 77.4 75.5 79.2 77.1 79.4 74.7 52.3 60.8 41.9 9.6 19.6 10.8 3.7 51,630 2,844 1,185 1,660 5,233 36,618 10,902 5.274 5,628 13,802 6,620 7,182 11,914 6,466 5,449 5,384 3,474 1,910 1.552 811 438 303 57.4 45.8 38.8 52.7 71.2 74.4 72.5 73.8 71.4 75.1 73.4 76.8 75.2 77.1 73.1 50.9 59.4 40.5 9.4 19.1 10.6 3.7 815 50 29 21 62 505 141 65 76 199 95 104 165 86 79 122 38 83 77 40 25 11 50,815 2,795 1,155 1,639 5,171 36,112 10,760 5,208 5,552 13,603 6,525 7,078 11,749 6,379 5,370 5,262 3,436 1,826 1,475 770 413 292 1,924 354 143 211 265 1,126 396 209 187 420 192 228 310 191 119 146 80 67 32 22 10 - 3.6 11.1 10.8 11.3 4.8 3.0 3.5 3.8 3.2 3.0 2.8 3.1 2.5 2.9 2.1 2.6 2.2 3.4 2.0 2.6 2.2 .1 36,380 3,009 1,728 1,281 1,847 11,503 3.736 1,667 2,068 4,147 2,204 1,943 3,621 1,732 1,889 5,037 2,294 2,743 14,984 3,405 3,697 7,881 Men 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 to 54 years 25 to 34 years 25 to 29 years 30 to 34 years 35 to 44 years 35 to 39 years 40 to 44 years 45 to 54 years 45 to 49 years 50 to 54 years 55 to 64 years 55 to 59 years 60 to 64 years 65 years and over 65 to 69 years 70 to 74 years 75 years and over Women 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 to 54 years 25 to 34 years 25 to 29 years 30 to 34 years 35 to 44 years 35 to 39 years 40 to 44 years 45 to 54 years 45 to 49 years 50 to 54 years 55 to 64 years 55 to 59 years 60 to 64 years 65 years and over 65 to 69 years 70 to 74 years 75 years and over See footnotes at end of table. 19 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-14. Employment status of the civilian noninstitutional population by age, sex, and race — Continued (Numbers in thousands) September 2000 Civilian labor force Age, sex, and race Civilian Employed Unemployed noninstitutional population Total 25,299 2.463 1.243 1,220 2,710 14,967 5,138 2,518 2,619 5,677 2,854 2,823 4,152 2,358 1.794 2,380 1.309 1,071 2.780 945 714 1.121 16.426 902 350 552 1.847 12,102 4,288 2,081 2,207 4,629 2,370 2,259 3,185 1,875 1,310 1.221 820 402 353 208 75 69 64.9 36.6 28.1 45.3 68.2 80.9 83.5 82.6 84.3 81.5 83.0 80.0 76.7 79.5 73.0 51.3 62.6 37.5 12.7 22.1 10.5 6.2 15.244 677 254 423 1,597 11,438 4,003 1.946 2,057 4,392 2,246 2,146 3,044 1,781 1.263 1,198 801 397 333 196 70 66 60.3 27.5 20.5 34.7 58.9 76.4 77.9 77.3 78.5 77.4 78.7 76.0 73.3 75.5 70.4 50.4 61.2 37.1 12.0 20.8 9.9 5.9 167 9 5 4 30 96 28 6 23 24 13 11 44 22 22 19 10 10 13 5 11.359 1.211 624 586 1,244 6.768 2,297 1.112 1,185 2,601 1.301 1,300 1.870 1.072 798 1,029 567 463 1,106 412 277 418 7,706 421 174 247 863 5,680 1.990 943 1,047 2,194 1.133 1,062 1,496 877 618 574 381 193 168 96 38 34 67.8 34.8 27.8 42.2 69.3 83.9 86.6 84.8 88.4 84.4 87.1 81.6 80.0 81.8 77.5 55.8 67.3 41.7 15.2 23.3 13.9 8.1 7,139 313 124 188 738 5,361 1,862 890 972 2,083 1,081 1.002 1.415 827 589 571 379 193 157 89 34 34 62.9 25.8 19.9 32.1 59.3 79.2 81.1 80.0 82.0 80.1 83.1 77.1 75.7 77.1 73.8 55.5 66.8 41.7 14.2 21.6 12.3 8.1 154 9 5 4 27 86 24 3 21 21 9 11 42 22 21 19 10 10 13 5 13.941 1,252 619 633 1,466 8,199 2,840 1,406 1,434 3,076 1,553 1,523 2,283 1,286 996 1,351 742 608 1,674 533 437 704 8,720 481 176 305 984 6,422 2,298 1.138 1.159 2,435 1,237 1,198 1,690 998 692 647 438 209 185 113 37 36 62.5 38.4 28.5 48.1 67.2 78.3 80.9 81.0 80.8 79.2 79.7 78.7 74.0 77.6 69.4 47.9 59.0 34.4 11.0 21.1 8.4 5.1 8.105 365 130 235 859 6.077 2,141 1.056 1,085 2.308 1,165 1,143 1,628 954 674 627 422 205 176 107 37 32 58.1 29.1 21.0 37.1 58.6 74.1 75.4 75.1 75.7 75.0 75.0 75.1 71.3 74.2 67.6 46.4 56.9 33.6 10.5 20.1 8.4 4.6 Percent of population Total Percent of population Agriculture Not in labor force Number Percent of labor force 15,077 669 250 419 1.567 11,342 3,975 1,940 2,035 4,368 2,233 2,135 2,999 1.759 1,241 1,179 791 388 320 191 70 59 1,182 225 95 129 250 664 285 135 150 238 124 114 141 94 48 23 18 5 20 12 4 3 7.2 24.9 27.3 23.4 13.6 5.5 6.6 6.5 6.8 5.1 5.2 5.0 4.4 5.0 3.6 1.9 2.3 1.1 5.7 5.9 6.0 (1) 8.874 1.561 893 668 862 2,865 850 437 412 1,048 484 564 967 483 484 1,158 489 669 2,428 737 639 1.052 6.985 304 120 184 711 5,274 1,838 887 951 2,063 1,071 991 1,373 804 569 552 369 183 144 84 34 26 567 109 49 59 125 319 128 53 76 111 52 59 80 51 29 3 3 7.4 25.8 28.4 24.0 14.5 5.6 6.4 5.6 7.2 5.1 4.6 5.6 5.4 5.8 4.8 .5 .7 12 7 4 — 6.8 7.3 3.653 789 451 339 381 1.088 307 169 138 407 168 239 374 195 180 455 185 270 938 316 238 384 8,092 365 130 235 856 6,068 2,136 1,053 1,083 2,305 1.162 1,143 1.626 954 671 627 422 205 176 107 37 32 615 116 46 70 125 345 157 83 74 127 72 55 61 43 18 20 16 5 9 5 _ 3 Nonagricultural industries BLACK 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 to 54 years 25 to 34 years 25 to 29 years 30 to 34 years 35 to 44 years 35 to 39 years 40 to 44 years 45 to 54 years 45 to 49 years 50 to 54 years 55 to 64 years 55 to 59 years 60 to 64 years 65 years and over 65 to 69 years 70 to 74 years 75 years and over 8 Men 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 to 54 years 25 to 34 years 25 to 29 years 30 to 34 years 35 to 44 years 35 to 39 years 40 to 44 years 45 to 54 years 45 to 49 years 50 to 54 years 55 to 64 years 55 to 59 years 60 to 64 years 65 years and over 65 to 69 years 70 to 74 years 75 years and over 8 (M Women 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 to 54 years 25 to 34 years 25 to 29 years 30 to 34 years 35 to 44 years 35 to 39 years 40 to 44 years 45 to 54 years 45 to 49 years 50 to 54 years 55 to 64 years 55 to 59 years 60 to 64 years 65 years and over 65 to 69 years 70 to 74 years 75 years and over 1 Data not shown where base is less than 75,000. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 20 13 _ _ _ 3 10 5 3 2 3 3 2 _ 2 _ _ _ _ _ _ 7.1 24.1 26.2 22.9 12.7 5.4 6.8 7.3 6.4 5.2 5.8 4.6 3.6 4.3 2.6 3.1 3.6 2.2 4.6 4.6 _ 5,221 771 442 329 481 1,776 543 268 275 641 316 325 593 288 305 703 304 399 1,489 421 401 668 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-15. Employment status of the civilian noninstitutional population by race, sex, and age (Numbers in thousands) Men, 20 years and over Total Employment status and race W o m e n , 20 years and over Both sexes, 16 to 19 years Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 208,265 139,217 66.8 133,555 3,342 130,214 5,661 4.1 69,048 210,161 140,357 66.8 135,033 3,510 131,523 5,324 3.8 69,804 91,793 70,286 76.6 68,078 2,296 65,782 2,208 3.1 21,508 92,863 70,954 76.4 68,823 2,474 66,349 2,130 3.0 21,909 100,385 61,053 60.8 58,753 833 57,920 2,299 3.8 39,332 101,321 61,552 60.7 59,370 787 58,583 2,182 3.5 39,769 16,086 7,878 49.0 6,724 212 6,512 1,154 14.7 8,208 15,977 7,852 49.1 6,840 249 6,591 1,012 12.9 8,125 173,432 116,243 67.0 112,241 3,157 109,084 4,002 3.4 57,189 174,745 117,237 67.1 113,334 3,277 110,057 3,903 3.3 57,508 77,586 59,808 77.1 58,236 2,160 56,076 1,571 2.6 17,779 78,320 60,227 76.9 58,660 2,272 56,388 1,567 2.6 18,092 83,102 49,746 59.9 48,138 795 47,343 1,608 3.2 33.356 83,726 50,355 60.1 48,786 765 48,020 1,570 3.1 33,371 12,743 6,690 52.5 5,867 202 5,665 823 12.3 6,053 12,699 6,654 52.4 5,888 240 5,648 766 11.5 6,045 24,946 16,494 66.1 15,113 109 15,004 1,381 8.4 8,452 25,299 16,426 64.9 15,244 167 15,077 1,182 7.2 8,874 9,965 7,216 72.4 6,711 85 6,626 506 7.0 2,749 10,148 7,285 71.8 6,826 145 6,681 458 6.3 2,863 12,496 8.361 66.9 7,774 18 7,756 587 7.0 4,135 12,689 8,239 64.9 7,740 13 7,727 499 6.1 4,450 2,484 917 36.9 628 6 622 289 31.5 1,567 2,463 902 36.6 677 9 669 225 24.9 1,561 TOTAL Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force White Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force Black Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricuitural industries Unemployed Unemployment rate Not in labor force NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 21 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-16. Employment status of the civilian noninstitutional population 16 to 24 years of age by school enrollment, educational attainment, sex, race, and Hispanic origin (Numbers in thousands) September 2000 Civilian labor force Enrollment status, educational attainment, race, and Hispanic origin Civilian noninstitutional population Employed Total Percent of population Unemployed Total Full time Part time Total Looking for full-time work Looking for part-time work Percent of labor force TOTAL ENROLLED Total. 16 to 24 years 16 to 19 years 20 to 24 years 18.160 12.210 5,950 8,755 5,026 3,729 48.2 41.2 62.7 8,013 4.461 3,552 1.928 547 1.381 6,085 3,914 2,171 742 565 177 149 97 52 593 468 125 8.5 11.2 4.7 High school College Full-time students Part-time students 8,616 9.545 7,959 1,586 3,346 5,409 4,079 1,331 38.8 56.7 51.2 83.9 2,922 5.091 3.820 1,271 198 1,730 849 880 2,724 3,362 2.971 391 424 318 259 60 86 63 37 27 338 255 222 33 12.7 5.9 6.3 4.5 Men, 16 to 24 years 16 to 19 years 20 to 24 years 9.036 6,168 2.867 4,224 2,491 1.733 46.7 40.4 60.4 3,855 2,198 1.657 999 296 703 2,856 1,903 954 369 293 76 82 62 20 287 231 56 8.7 11.8 4.4 High school College Full-time students Part-time students 4,658 4,377 3.555 823 1,787 2,437 1,741 696 38.4 55.7 49.0 84.6 1.553 2.302 1,627 675 130 868 407 461 1,422 1,434 1,220 214 234 135 114 21 55 27 14 13 179 108 100 9 13.1 5.5 6.5 3.0 Women, 16 to 24 years 16 to 19 years 20 to 24 years 9.125 6.042 3,083 4.531 2,535 1,996 49.7 42.0 64.8 4.158 2,262 1.896 929 251 678 3,229 2,011 1,218 373 272 101 67 35 33 306 238 68 8.2 10.7 5.1 High school College Full-time students Part-time students 3.958 5,167 4.404 763 1,559 2,972 2,338 635 39.4 57.5 53.1 83.2 1.369 2,789 2,193 596 68 861 442 419 1,301 1.928 1,751 177 190 183 145 38 31 37 22 14 159 146 122 24 12.2 6.2 6.2 6.1 14,303 9,667 4,636 7,402 4,308 3,094 51.7 44.6 66.7 6,857 3,879 2,978 1,648 496 1,152 5,209 3,383 1.826 545 429 ,116 96 64 31 449 365 84 7.4 10.0 3.7 Men Women 7,175 7.128 3,617 3.785 50.4 53.1 3,341 3.516 877 771 2,464 2,745 276 268 52 44 224 225 7.6 7.1 High school College Full-time students Part-time students 6,743 7.560 6,293 1.267 2.884 4,518 3,417 1,100 42.8 59.8 54.3 86.9 2.574 4,283 3,219 1,063 182 1,466 732 735 2,392 2,816 2,488 329 310 235 198 37 61 35 24 10 249 200 174 26 10.7 5.2 5.8 3.4 2.717 1.856 861 904 500 404 33.3 26.9 46.9 748 375 373 203 35 168 545 339 205 156 125 31 42 28 15 114 97 16 17.3 25.0 7.7 Men Women 1,284 1.433 379 525 29.5 36.6 311 437 84 119 227 318 68 88 22 20 45 68 17.9 16.8 High school College Full-time students Part-time students 1,433 1,285 1,074 211 357 546 399 147 24.9 42.5 37.2 69.8 249 499 367 131 11 193 96 96 238 306 271 35 108 48 32 16 24 18 5 13 84 30 27 3 30.3 8.7 8.0 10.6 2.175 1,558 617 924 497 427 42.5 31.9 69.2 806 405 401 304 89 215 502 316 186 118 92 26 28 19 9 90 73 17 12.8 18.5 6.0 Men Women 1.104 1.071 460 464 41.6 43.4 393 413 157 147 236 266 67 51 16 12 51 39 14.5 11.0 High school College Full-time students Part-time students 1,236 939 664 275 324 600 357 243 26.2 63.9 53.7 88.6 247 559 327 232 45 259 104 155 202 300 223 77 77 41 29 12 23 5 3 2 54 36 26 10 23.8 6.8 8.3 4.8 White Total, 16 to 24 years 16 to 19 years 20 to 24 years Black Total. 16 to 24 years 16 to 19 years 20 to 24 years Hispanic origin Total. 16 to 24 years 16 to 19 years 20 to 24 years See footnotes at end of table. 22 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-16. Employment status of the civilian noninstitutionai population 16 to 24 years of age by school enrollment, educational attainment, sex, race, and Hispanic origin — Continued (Numbers in thousands) September 2000 Civilian labor force Enrollment status, educational attainment, race, and Hispanic origin Civilian noninstitutionai population Employed Total Percent of population Total Full time Unemployed Part time Total Looking for full-time work Looking for part-time work Percent of labor force TOTAL NOT ENROLLED 16,357 3,767 12,590 13,402 2,826 10,576 81.9 75.0 84.0 12,217 2,379 9,838 10,405 1,742 8,663 1,812 637 1,175 1,185 447 738 1,073 397 676 113 50 63 8.8 15.8 7.0 Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates 3,888 7,224 3,490 1,755 2,684 6,031 3,069 1,618 69.0 83.5 88.0 92.2 2,247 5,505 2.914 1,551 1,758 4,645 2,521 1,480 489 860 393 70 436 526 156 67 384 497 125 67 53 29 31 16.3 8.7 5.1 4.1 Men, 16 to 24 years 16 to 19 years 20 to 24 years 8,290 1,931 6,359 7,304 1,538 5,766 88.1 79.6 90.7 6,646 1,295 5,351 5,964 1,011 4,953 682 284 398 658 243 415 623 229 394 35 14 21 9.0 15.8 7.2 2,093 3,817 1,711 670 1,698 3,386 1,577 643 81.1 88.7 92.2 95.9 1,447 3,090 1,492 617 1,224 2,771 1,374 595 223 319 118 22 251 296 85 26 242 284 71 26 9 12 14 14.8 8.7 5.4 4.0 8,067 1,836 6,231 6.098 1,288 4,810 75.6 70.2 77.2 5,571 1,084 4,487 4,441 731 3,710 1,130 353 111 528 204 323 450 168 282 78 36 42 8.7 15.9 6.7 1,795 3,407 1,779 1,085 986 2,645 1,493 975 54.9 77.6 83.9 89.9 800 2,415 1,422 934 534 1,874 1,147 885 266 541 275 48 185 230 71 41 142 213 54 41 44 17 17 18.8 8.7 4.8 4.2 13,208 3,032 10,176 11.033 2,346 8,687 83.5 77.4 85.4 10,211 2,009 8,202 8,712 1,491 7,221 1,499 518 981 822 337 485 754 308 447 68 30 38 7.5 14.4 5.6 Men Women 6,783 6,424 6,121 4,912 90.2 76.5 5,650 4,561 5,095 3,616 555 945 471 351 454 301 17 50 7.7 7.1 Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates 3,152 5,702 2,854 1,500 2,226 4,865 2,542 1,400 70.6 85.3 89.1 93.4 1,907 4,514 2,445 1,345 1,506 3,797 2,123 1,285 401 717 322 59 319 351 97 55 289 329 81 55 30 21 16 14.3 7.2 3.8 4.0 2,455 607 1,849 1,846 402 1,443 75.2 66.3 78.1 1,527 303 1,224 1,277 208 1,070 249 95 154 319 100 219 287 82 205 32 18 14 17.3 24.8 15.2 Men Women 1,170 1,285 905 940 77.3 73.2 740 787 634 643 106 144 166 153 153 134 13 19 18.3 16.3 Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates 600 1,241 487 128 376 956 400 114 62.7 77.1 82.2 89.0 266 797 360 104 198 675 307 97 68 121 53 7 110 160 40 9 90 155 33 9 20 5 7 29.3 16.7 10.0 8.1 3,080 790 2,290 2,389 554 1,835 77.5 70.1 80.1 2,192 468 1,724 1,859 362 1,498 332 106 226 197 86 111 176 79 97 21 7 14 8.2 15.5 6.1 Men Women 1,640 1,441 1,488 901 90.7 62.5 1,369 822 1,241 619 129 203 118 79 110 66 8 13 8.0 8.7 Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates 1,430 1,157 414 80 996 971 345 77 69.6 84.0 83.3 96.2 907 877 336 71 762 736 289 71 145 140 47 89 95 8 5 80 82 8 5 9 12 8.9 9.8 2.4 6.9 Total, 16 to 24 years 16 to 19 years 20 to 24 years Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates Women, 16 to 24 years 16 to 19 years 20 to 24 years Less than a high school diploma High school graduates, no college Less than a bachelor's degree College graduates White Total, 16 to 24 years 16 to 19 years 20 to 24 years Black Total, 16 to 24 years 16 to 19 years 20 to 24 years Hispanic origin Total, 16 to 24 years 16 to 19 years 20 to 24 years NOTE: In the summer months, the educational attainment levels of youth not enrolled in school are increased by the temporary movement of high school and college students into that group. Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups. Beginning in January 2000, data reflect revised population controls used in the household survey. 23 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-17. Employment status of the civilian noninstitutional population 25 years and over by educational attainment, sex, race, and Hispanic origin (Numbers in thousands) Total Educational attainment Hispanic origin Black White Women Men Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 175,644 118,200 67.3 114,803 65.4 3,397 2.9 82,842 62,992 76.0 61.277 74.0 1,715 2.7 83,637 63,455 75.9 61,816 73.9 1,639 2.6 91,294 54,447 59.6 52,670 57.7 1,777 3.3 92,007 54,745 59.5 52,988 57.6 1,757 3.2 146,231 98,155 67.1 95,693 65.4 2,462 2.5 147,234 98,802 67.1 96,266 65.4 2,537 2.6 19,832 13,671 68.9 12,843 64.8 828 6.1 20,127 13,676 68.0 12,969 64.4 707 5.2 16,785 11,678 69.6 11,112 66.2 567 4.9 17,299 12,212 70.6 11,668 67.4 544 4.5 28,583 12,275 42.9 11,506 40.3 769 6.3 28,346 12.578 44.4 11,872 41.9 706 5.6 13,680 7.477 54.7 7,093 51.8 385 5.1 13,655 7,666 56.1 7,309 53.5 357 4.7 14,903 4,798 32.2 4,413 29.6 385 8.0 14,691 4,912 33.4 4,563 31.1 349 7.1 23,000 9,976 43.4 9,473 41.2 503 5.0 22,701 10,249 45.1 9,740 42.9 510 5.0 4,219 1,678 39.8 1,457 34.5 221 13.2 4,315 1,692 39.2 1.527 35.4 165 9.7 7,317 4,342 59.3 4,085 55.8 256 5.9 7,552 4,643 61.5 4,375 57.9 268 5.8 57,518 37,286 64.8 36,022 62.6 1,264 3.4 57,244 36,712 64.1 35,534 62.1 1,178 3.2 26,024 19,721 75.8 19,151 73.6 570 2.9 25,954 19,418 74.8 18,845 72.6 572 2.9 31,494 17,565 55.8 16,870 53.6 695 4.0 31,289 17,294 55.3 16.689 53.3 605 3.5 48,508 30,987 63.9 30,110 62.1 877 2.8 48,146 30,510 63.4 29,693 61.7 817 2.7 7,112 5,109 71.8 4,781 67.2 328 6.4 7,011 4,877 69.6 4,552 64.9 324 6.7 4,530 3,387 74.8 3,190 70.4 197 5.8 4,658 3,475 74.6 3,311 71.1 163 4.7 42,955 31,930 74.3 31,086 72.4 844 2.6 44,191 32,683 74.0 31,866 72.1 817 2.5 19,806 16,147 81.5 15,735 79.4 411 2.5 20,353 16,526 81.2 16,150 79.4 376 2.3 23,149 15,783 68.2 15,351 66.3 433 2.7 23.838 16,157 67.8 15,716 65.9 441 2.7 36,056 26,472 73.4 25,874 71.8 599 2.3 37.127 27,148 73.1 26,507 71.4 642 2.4 5,280 4,216 79.8 4.011 76.0 205 4.9 5,418 4,306 79.5 4.171 77.0 136 3.1 3,032 2,391 78.9 2,321 76.6 70 2.9 2,979 2,353 79.0 2,275 76.4 78 3.3 29,624 21.499 72.6 20,888 70.5 610 2.8 30,328 21,848 72.0 21,257 70.1 591 2.7 14,066 11.174 79.4 10,882 77.4 292 2.6 14,353 11.453 79.8 11,183 77.9 270 2.4 15,559 10,324 66.4 10,007 64.3 318 3.1 15,974 10,395 65.1 10,074 63.1 321 3.1 24,685 17,636 71.4 17,224 69.8 412 2.3 25,350 17.987 71.0 17,522 69.1 465 2.6 3,853 3.034 78.7 2,864 74.3 170 5.6 3,872 3,012 77.8 2,911 75.2 102 3.4 2,109 1,675 79.4 1,633 77.4 43 2.5 2,102 1,653 78.6 1,595 75.9 58 3.5 13,330 10,431 78.3 10,197 76.5 234 2.2 13,863 10,835 78.2 10,609 76.5 226 2.1 5,740 4,972 86.6 4,853 84.5 119 2.4 5,999 5,073 84.6 4,967 82.8 106 2.1 7.590 5.459 71.9 5,344 70.4 115 2.1 7,864 5,763 73.3 5,642 71.8 120 2.1 11,372 8,837 77.7 8,650 76.1 187 2.1 11,777 9,162 77.8 8,985 76.3 177 1.9 1,427 1,182 82.8 1,147 80.3 35 3.0 1,546 1,294 83.7 1,260 81.5 34 2.6 922 716 77.6 688 74.7 28 3.9 877 700 79.9 680 77.5 20 2.9 45,081 35,948 79.7 35,333 78.4 615 1.7 45,863 36,227 79.0 35,531 77.5 696 1.9 23,331 19,647 84.2 19,298 82.7 349 1.8 23,675 19,845 83.8 19,512 82.4 334 1.7 21,750 16,301 74.9 16,035 73.7 266 1.6 22,189 16,382 73.8 16,020 72.2 362 2.2 38.667 30,720 79.4 30,237 78.2 483 1.6 39,260 30,895 78.7 30,327 77.2 568 1.8 3,221 2,667 82.8 2,593 80.5 74 2.8 3,382 2,802 82.8 2,719 80.4 82 2.9 1,908 1,558 81.7 1,515 79.4 43 2.8 2,110 1,741 82.5 1,707 80.9 35 2.0 Sept. 1999 TOTAL Civilian noninstitutional population ... 174,136 117,439 Civilian labor force Percent of population 67.4 Employed 113,947 Employment-population ratio 65.4 Unemployed 3,492 Unemployment rate 3.0 Less than a high school diploma Civilian noninstitutional population ... Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate High school graduates, no college Civilian noninstitutional population ., Civilian labor force Percent of population Employed Employment-population ratio .... Unemployed Unemployment rate Less than a bachelor's degree1 Civilian noninstitutional population . Civilian labor force Percent of population Employed Employment-population ratio .... Unemployed Unemployment rate Some college, no degree Civilian noninstitutional population . Civilian labor force Percent of population Employed Employment-population ratio .... Unemployed Unemployment rate Associate degree Civilian noninstitutional population . Civilian labor force Percent of population Employed Employment-population ratio .... Unemployed Unemployment rate College graduates Civilian noninstitutional population . Civilian labor force Percent of population Employed Employment-population ratio .... Unemployed Unemployment rate 1 Includes the categories, some college, no degree; and associate degree. NOTE: Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups. Beginning in January 2000, data reflect revised population controls used in the household survey. 24 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-18. Employed and unemployed full- and part-time workers by age, sex, and race (In thousands) September 2000 Employed1 Full-time workers Part-time workers At work At work2 Age, sex, and race Total Unemployed 35 hours or more 1 to 34 hours for economic or noneconomic reasons Not at work Total Part time Part time for for economic noneconomic reasons reasons Not at work Looking for full-time work Looking for part-time work TOTAL 112,567 2,289 264 2,025 110,278 10,044 100,234 86,812 13,422 101,204 1,945 206 1,738 99,259 8,951 90,308 78,586 11,722 8,003 310 52 258 7,693 862 6,831 5,656 1,175 3,360 34 5 28 3,327 231 3,095 2,570 525 22,466 4,551 2,462 2,089 17,915 3,346 14,569 10,086 4,484 1,725 205 22 183 1,520 301 1,219 1,019 200 19,542 4,212 2,369 1,843 15,330 2,930 12,400 8,458 3,941 1,199 134 71 63 1,066 115 951 608 342 4,152 494 112 382 3,658 728 2,930 2,590 340 1,172 518 319 200 654 187 466 323 144 Men, 16 years and over 16 to 19 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over 65,057 1,307 63,750 5,656 58,095 50,085 8,009 59,336 1,126 58,210 5,096 53,114 46,041 7,073 4,037 165 3,873 447 3,426 2,804 622 1,684 17 1,667 113 1,555 1,240 315 7,260 2,187 5,073 1,352 3,721 1,852 1,868 702 110 592 151 441 357 83 6,204 2,015 4,189 1,158 3,031 1,394 1,637 354 61 293 43 249 101 148 2,174 291 1,883 414 1,469 1,284 185 492 245 248 78 170 93 77 Women, 16 years and over 16 to 19 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over 47,509 982 46,528 4,388 42,139 36,727 5,413 41,868 819 41,049 3,855 37,194 32,545 4,649 3,965 146 3,820 415 3,405 2,852 553 1,676 17 1,659 119 1,540 1,330 210 15,207 2,364 12,842 1,994 10,848 8,233 2,615 1,023 95 928 150 778 661 117 13,339 2,197 11,141 1,773 9,369 7,064 2,304 845 72 773 72 701 507 194 1,979 203 1,776 315 1,461 1,306 156 679 274 406 110 296 230 67 Men, 16 years and over 16 to 19 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over 55,504 1,178 54,326 4,794 49,532 42,479 7,053 50,666 1,017 49,648 4,335 45,314 39,085 6,229 3,403 145 3,259 383 2,875 2,330 545 1,435 16 1,419 76 1,343 1,064 279 6,199 1,865 4,334 1,153 3,181 1,488 1,693 551 89 462 120 342 272 70 5,336 1,729 3,606 990 2,616 1,128 1,488 313 47 266 42 223 88 136 1,589 217 1,373 289 1,083 915 168 390 195 195 46 149 74 74 Women, 16 years and over 16 to 19 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over 38,301 809 37,492 3,579 33,913 29,334 4,579 33,782 666 33,117 3,145 29,972 26,037 3,935 3,213 129 3,084 339 2,745 2,268 477 1,305 14 1,291 95 1,196 1,029 167 13,329 2,035 11,294 1,654 9,640 7,283 2,357 791 77 714 133 581 484 97 11,781 1,900 9,881 1,456 8,425 6,338 2,086 757 58 699 65 634 461 173 1,383 155 1,228 189 1,039 921 118 540 199 341 76 265 205 61 Men, 16 years and over 16 to 19 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over 6,467 96 6,371 622 5,749 5,144 605 5,850 79 5,770 548 5,222 4,707 515 453 17 436 52 384 318 66 164 164 21 143 118 25 672 216 456 116 340 217 123 112 17 95 21 74 61 13 533 191 342 95 247 147 100 28 9 19 19 9 10 490 64 426 112 314 303 11 77 45 32 13 19 16 3 Women, 16 years and over 16 to 19 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over 6,811 147 6,664 616 6,049 5,439 610 5,876 130 5,746 535 5,211 4,706 506 644 14 630 67 563 494 69 292 3 289 14 275 239 35 1,293 218 1,075 244 832 639 193 194 13 181 15 166 150 16 1,042 194 847 221 626 464 162 58 11 47 7 40 25 15 506 46 461 108 353 328 25 109 70 38 18 21 17 4 Total, 16 years and over.... 16 to 19 years 16 to 17 years 18 to 19 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over White Black 1 Employed persons are classified as full- or part-time workers based on their usual weekly hours at all jobs regardless of the number of hours they are at work during the reference week. Persons absent from work also are classified according to their usual status. 2 Includes some persons at work 35 hours or more classified by their reason for working part time. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 25 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-19. Employed persons by occupation, sex, and age (In thousands) Total Occupation 16 years and over 16 years and over Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 133,555 135,033 71,603 72,317 68,078 68,823 61,952 62,716 58,753 59,370 20,323 10,621 362 8,151 20,243 8,603 335 5,530 2,739 11,640 204 598 181 297 2,718 419 4,028 293 2,900 20,655 8,918 338 5,776 2,805 11,737 192 678 198 264 2,732 402 4,101 260 2,909 20,080 8,534 335 5,479 2,720 11,547 204 598 181 297 2,714 415 3,992 293 2,852 20,486 8,862 338 5,722 2,802 11,624 192 678 198 264 2,722 402 4,050 260 2,857 2,396 24,611 2,337 1,402 285 650 7,965 2,090 1,187 435 4,207 46 14,308 385 209 3,269 1,929 396 8,119 24,708 2,180 1,347 312 520 7,904 1,941 1,309 467 4,123 64 14,625 470 158 3,132 2,072 398 8,395 22,950 2,288 1,363 278 647 6,943 2,048 1,155 428 3,266 46 13,719 383 202 3,184 1,904 380 7,667 22,992 2,134 1,321 302 510 6,877 1,906 1,264 462 3,180 64 13,982 468 153 3,075 2,044 391 7,850 6,101 37 1,904 4,161 1,929 242 1,464 526 10,759 852 453 9,454 3,461 2,169 1,444 2,379 10,953 668 432 9,852 3,772 2,193 1,522 2,365 9,647 776 429 8,442 2,763 2,097 1,374 2,208 9,789 604 405 8,779 3,005 2,105 1,443 2,227 40,892 41,106 20,649 20,451 20,497 19,623 667 19,592 702 13,963 11,020 332 8,575 2,112 9,629 1,762 1,344 375 792 10,674 364 8,187 2,122 9,777 10,958 332 8,514 2,111 1,849 1,762 1,431 1,334 375 792 393 512 1,330 638 2,404 Technical, sales, and administrative support Technicians and related support Health technologists and technicians Engineering and science technicians Technicians, except health, engineering, and science Sales occupations Supervisors and proprietors Sales representatives, finance and business services Sales representatives, commodities, except retail Sales workers, retail and personal services Sales-related occupations Administrative support, including clerical Supervisors Computer equipment operators Secretaries, stenographers, and typists Financial records processing Mail and message distributing Other administrative support, including clerical 14,105 4,851 21,269 1,966 1,942 556 1,089 3,113 931 5,376 4,927 21,514 2,041 2,109 594 1,011 3,180 395 396 748 448 552 9,539 954 5,405 893 5,326 512 1,348 638 2,464 2,417 38,519 4,439 1,706 1,205 1,529 15,918 4,884 2,744 1,632 6,578 79 18,161 640 361 3,340 2,136 916 10,769 38,810 4,313 1,668 1,270 1,375 16,100 4,920 2,908 1,610 6,567 95 13,908 14,101 2,102 303 2,133 12,957 2,052 321 299 920 879 7,953 2,795 1,558 1,197 2,371 33 3,853 255 152 958 854 8,196 896 857 7,284 2,761 1,526 1,191 1,772 33 3,621 253 146 69 Service occupations Private household Protective service Service, except private household and protective Foodservice Health service Cleaning and building service Personal service 17,817 876 18,019 708 2,369 Precision production, craft, and repair Mechanics and repairers Construction trades Other precision production, craft, and repair 14,531 4,728 5,918 3,885 Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Motor vehicle operators Other transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Construction laborers Other handlers, equipment cleaners, helpers, and laborers 931 5,364 18,397 687 304 3,189 2,266 985 10,966 71 206 520 2,649 1,304 633 2,979 1,599 1,143 2,444 31 3,772 216 147 58 193 587 2,571 191 498 2,464 2,107 9,702 1,839 1,422 396 748 446 549 1,286 633 2,384 13,261 2,102 316 940 846 7,579 2,933 1,569 1,134 1,910 31 3,580 216 140 58 191 579 7,058 24 1,987 5,048 2,568 7,066 39 293 1,622 565 258 1,566 635 6,149 20 1,937 4,192 1,922 278 1,515 477 15,005 4,843 6,368 3,794 13,283 4,514 5,795 2,974 13,714 4,608 6,213 2,893 12,967 4,424 5,614 2,928 13,391 4,525 6,026 2,840 1,248 214 124 910 1,290 234 155 901 1,227 211 122 894 1,267 230 146 891 18,202 7,360 5,617 4,288 1,328 5,226 922 4,303 18,482 7,262 5,767 4,321 1,446 5,453 1,073 4,380 13,789 4,539 5,060 3,815 1,245 4,191 896 3,294 14,063 4,417 5,232 3,866 1,367 4,413 1,046 3,367 12,812 4,392 4,968 3,748 1,220 3,452 830 2,622 13,042 4,286 5,096 3,756 1,341 3,660 954 2,706 4,414 2,822 557 474 83 1,035 26 1,009 4,419 2,844 535 455 79 1,040 27 1,012 4,208 2,748 543 460 83 917 26 891 4,199 2,739 524 448 76 936 27 909 3,594 1,072 2,522 3,612 1,243 2,369 2,916 2,921 939 1,982 2,696 2,705 937 1,769 678 256 422 691 304 387 641 255 385 638 302 337 2,439 14,502 6,029 2,462 3,066 2,945 14,942 6,403 2,451 3,088 3,000 NOTE: Beginning in January 2000, data reflect revised population controls 20 years and over Sept. 2000 Sept. 2000 Managerial and professional specialty Executive, administrative, and managerial Officials and administrators, public administration Other executive, administrative, and managerial Management-related occupations Professional specialty Engineers Mathematical and computer scientists Natural scientists Health diagnosing occupations Health assessment and treating occupations Teachers, college and university Teachers, except college and university Lawyers and judges Other professional specialty occupations Farming, forestry, and fishing Farm operators and managers Other farming, forestry, and fishing occupations 16 years and over 20 years and over Sept. 1999 Sept. 1999 Total Women Men 815 2,100 1,937 5,090 2,631 815 1,881 used in the household survey. 26 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-20. Employed persons by occupation, race, and sex (Percent distribution) Men Total Occupation and race Women Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 133,555 100.0 135,033 100.0 71,603 100.0 72,317 100.0 61,952 100.0 62,716 100.0 30.6 14.7 30.4 14.5 28.8 32.7 13.9 32.9 15.9 28.8 3.3 15.9 28.7 3.2 28.3 14.8 13.5 19.5 18.8 18.7 39.4 3.5 11.9 13.6 13.3 .7 1.8 10.9 11.9 TOTAL Total, 16 years and over (thousands) Percent Managerial and professional specialty Executive, administrative, and managerial Professional specialty Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical Service occupations Private household Protective service Service, except private household and protective Precision production, craft, and repair Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Farming, forestry, and fishing 13.6 19.4 39.7 2.9 2.9 3.8 11.1 5.4 11.3 5.2 9.8 .1 2.7 7.0 19.0 19.4 6.1 7.2 12.9 23.1 13.3 .5 9.9 1.8 2.8 7.0 18.6 19.3 6.3 7.1 14.2 12.6 23.3 17.5 1.1 .7 15.7 2.1 7.0 4.5 .9 1.7 1.1 4.1 6.1 4.0 17.4 1.4 .7 15.3 2.0 7.1 4.6 .9 1.7 1.1 113,334 100.0 61,318 100.0 61,703 100.0 50,923 100.0 51,630 100.0 31.3 15.3 16.1 28.8 29.7 16.3 29.1 15.6 33.9 34.0 14.8 13.4 13.4 19.5 19.5 40.3 13.6 5.5 4.2 3.9 2.7 11.1 11.1 13.7 5.4 4.3 4.0 2.7 112,241 100.0 31.6 15.4 10.9 15.4 13.4 5.9 White Total, 16 years and over (thousands) Percent Managerial and professional specialty Executive, administrative, and managerial Professional specialty Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical Service occupations Private household Protective service Service, except private household and protective Precision production, craft, and repair Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Farming, forestry, and fishing 16.2 29.0 3.3 12.3 13.3 12.1 .7 1.7 9.8 11.5 3.1 12.3 13.4 12.3 .5 1.7 10.2 19.6 2.9 11.6 5.1 8.7 14.4 2.9 3.8 11.8 4.8 13.2 23.3 9.0 .1 2.6 6.4 19.8 18.4 5.7 6.8 5.8 4.3 16.1 1.4 .6 14.2 2.0 6.5 4.1 .8 1.6 1.2 19.3 39.9 3.3 12.9 23.7 16.3 1.0 .6 12.9 5.1 4.1 3.7 3.0 13.0 5.0 4.1 3.9 2.9 2.6 6.1 19.4 18.2 6.0 6.7 5.4 4.4 15,113 100.0 15,244 100.0 7,029 100.0 7,139 100.0 8,084 100.0 8,105 100.0 21.6 9.8 11.8 28.6 3.0 9.1 21.7 9.6 18.3 8.8 9.4 17.9 2.4 7.5 8.0 17.5 17.9 8.3 9.6 19.0 2.9 7.9 8.2 16.0 24.5 10.6 25.1 10.7 14.4 37.8 4.0 11.6 14.7 2.0 6.5 4.1 .8 1.6 1.3 Black Total, 16 years and over (thousands) Percent Managerial and professional specialty Executive, administrative, and managerial Professional specialty Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical Service occupations Private household Protective service Service, except private household and protective Precision production, craft, and repair Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Farming, forestry, and fishing 16.5 21.7 .7 3.3 17.6 7.3 19.6 8.0 6.0 5.6 1.2 NOTE: Beginning in January 2000, data reflect revised population controls 12.1 29.0 3.5 9.6 15.9 21.1 .7 2.8 17.5 7.5 19.2 7.5 6.3 5.4 1.5 used in the household survey. 27 .1 5.0 12.4 13.4 30.5 9.4 11.2 9.9 2.4 4.3 11.7 13.9 30.3 9.3 12.0 9.0 2.9 13.9 37.9 3.6 10.5 23.9 25.3 11.2 22.6 25.5 1.2 1.3 1.9 22.2 1.5 22.7 2.0 9.5 6.0 1.9 10.1 6.8 1.5 1.8 .3 1.2 2.3 .2 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-21. Employed persons by industry and occupation (In thousands) September 2000 Managerial and professional specialty Industry Agriculture Mining Construction Manufacturing Durable goods Nondurable goods Transportation and public utilities Wholesale and retail trade Wholesale trade Retail trade Finance, insurance, and real estate Services Private households Other service industries Professional services Public administration Technical, sales, and administrative support Total Executive, TechniAdminisemadministrative cians Private Profesployed Other trative, Sales support, houseand sional service1 and including specialty related hold manaclerical support gerial 3,510 491 9,728 19,450 11,870 7,581 10,019 27,842 5,597 22,245 8,525 49,555 793 48,762 32,714 5,913 91 45 99 87 1,312 2,993 1,848 1,144 188 1,802 1,222 580 1,449 2,562 668 1,895 624 717 181 536 2,516 7,272 4 7,268 4,372 1,302 371 16,590 8 16,582 14,202 1,087 45 8 72 627 451 176 8 6 83 730 321 409 155 31 424 1,744 953 791 274 328 287 11452 78 2,269 209 9,183 2,531 2,276 783 180 2,565 2,269 1,255 2 2,629 7,415 8 2,565 2,074 200 1,253 196 22 7,407 5,395 1,191 1,493 1 708 708 Precision production, craft, and repair 29 13 28 293 165 129 56 170 5,780 3,671 2,554 1,117 283 5,479 72 5,407 266 9,178 28 Machine operators, assemblers, and inspectors 9 25 100 Handlers, equipment cleaners, helpers, and laborers Farming, forestry, and fishing 2,945 2,418 15 20 1,126 988 478 510 1,365 1,401 347 1,054 88 358 160 198 2,502 1,154 568 586 563 2,087 421 1,667 12 69 52 18 181 2,145 12 796 2,145 474 235 796 6 626 2 624 63 405 18 387 164 24 315 50 32 600 4 596 109 23 5,851 3,432 39 9,139 5,322 1,741 Transportation and material moving 59 86 603 681 384 297 used in the household survey. Includes protective service, not shown separately. NOTE: Beginning in January 2000, data reflect revised population controls Operators, fabricators, and laborers Service occupations 10 71 61 11 90 37 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-22. Employed persons in agriculture and nonagricultural industries by age, sex, and class of worker (In thousands) September 2000 Agriculture Nonagricultural industries Wage and salary workers Age and sex Wage and salary workers Selfemployed workers Unpaid family workers Private industries Total Total Private household workers Other private industries Government Selfemployed workers Unpaid family workers Total, 16 years and over.... 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 years and over 2,141 211 95 117 290 493 549 312 203 82 1,328 18 13 5 48 113 276 342 268 262 42 19 9 10 5 3 6 3 3 2 122,545 6,521 2,587 3,934 12,773 28,181 33,369 26,681 11,837 3,183 103,718 6,253 2,507 3,745 11,690 24,454 28,127 21,091 9,451 2,653 784 69 48 21 77 135 191 153 112 45 102,934 6,184 2,459 3,724 11,613 24,318 27,936 20,937 9,339 2,608 18,827 269 80 189 1,082 3,728 5,242 5,591 2,386 530 8,878 58 16 42 266 1,440 2,574 2,495 1,441 604 99 11 6 5 8 6 29 25 14 7 Men, 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 1,646 168 69 99 231 372 411 242 152 69 996 15 13 3 41 88 210 246 197 199 32 15 5 10 5 1 6 64,243 3,241 1,265 1,976 6,548 15,130 17,630 13,716 6,250 1,729 56,055 3,129 1,239 1,889 6,137 13,581 15,421 11,152 5,176 1,461 60 5 5 7 19 13 6 3 8 55,996 3,124 1,235 1,889 6,130 13,562 15,409 11,146 5,173 1,453 8,188 112 25 87 411 1,550 2,209 2,564 1,074 268 5,363 43 11 32 174 787 1,578 1,513 894 373 38 11 6 5 8 2 2 2 11 1 495 43 25 18 59 121 137 70 51 13 332 3 10 4 4 58,303 3,281 1,322 1,958 6,225 13,051 15,739 12,965 5,587 1,454 47,663 3,124 1,268 1,856 5,554 10,873 12,706 9,939 4,275 1,192 724 64 43 21 71 117 179 147 109 37 46,938 3,060 1,225 1,835 5,483 10,756 12,527 9,792 4,166 1,155 10,640 157 55 102 671 2,178 3,033 3,026 1,312 262 3,516 15 5 10 92 653 996 982 547 232 61 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 years and over Women, 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 years and over 3 7 25 66 96 71 63 2 2 N O T E : Beginning in January 2000, data reflect revised population controls used in the household survey. 29 4 27 22 3 5 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-23. Persons at work in agriculture and nonagricuitural industries by hours of work September 2000 All industries Total, 16 years and over 1 to 34 hours 1 to 4 hours 5 to 14 hours 15 to 29 hours 30 to 34 hours 35 hours and over 35 to 39 hours 40 hours 41 hours and over 41 to 48 hours 49 to 59 hours 60 hours and over Average hours, total at work Average hours, persons who usually work full time Percent distribution Thousands of persons Hours of work Agriculture Nonagricuitural industries All industries Agriculture Nonagricuitural industries 130,474 3,377 127,096 100.0 100.0 100.0 28,392 1,064 4,808 14,305 8,216 905 59 213 378 255 27,487 1,004 4,595 13,927 7,961 21.8 .8 3.7 11.0 6.3 26.8 1.8 6.3 11.2 7.5 21.6 .8 3.6 11.0 6.3 102,081 8,572 51,394 42,116 15,045 15,637 11,434 2,473 148 874 1,451 268 412 771 99,609 8,424 50,520 40,665 14,777 15,225 10,662 78.2 6.6 39.4 32.3 11.5 12.0 8.8 73.2 4.4 25.9 43.0 7.9 12.2 22.8 78.4 6.6 39.7 32.0 11.6 12.0 8.4 40.1 43.8 43.3 49.6 40.0 43.7 NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. A-24. Persons at work 1 to 34 hours in all and nonagricuitural industries by reason for working less than 35 hours and usual full- or part-time status (Numbers in thousands) September 2000 All industries Nonagricuitural industries Reason for working less than 35 hours Total Total, 16 years and over Economic reasons Slack work or business conditions Could only find part-time work Seasonal work Job started or ended during week Noneconomic reasons Child-care problems Other family or personal obligations Health or medical limitations In school or training Retired or Social Security limit on earnings Vacation or personal day Holiday, legal or religious Weather-related curtailment All other reasons Average hours: Economic reasons Other reasons Usually work part time Total Usually work full time Usually work part time 28,392 8,003 20,390 27,487 7,775 19,712 2,854 1,837 784 53 180 1,215 1,002 1,639 835 784 19 2,724 1,747 769 34 174 1,159 965 1,565 783 769 13 25,539 857 5,355 675 6,541 1,991 3,049 81 170 6,819 6,788 75 676 18,751 783 4,679 675 6,437 1,991 6,616 75 662 3,049 81 170 2,632 4,187 24,763 840 5,204 656 6,354 1,857 2,983 81 150 6,638 2,983 81 150 2,561 4,077 23.0 21.2 24.0 25.2 22.3 19.7 23.0 21.2 24.1 25.2 22.3 19.8 NOTE: Beginning in January 2000, data reflect revised population controls Usually work full time 34 180 104 used in the household survey. 30 21 174 104 18,147 766 4,542 656 6,249 1,857 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-25. Persons at work in nonagricultural industries by class of worker and usual full- or part-time status (Numbers in thousands) September 2000 Average hours Worked 1 to 34 hours For noneconomic reasons Total at work Total For economic reasons Total, 16 years and over 127,096 27,487 Wage and salary workers 118,664 Industry and class of worker Worked 35 hours or more Total at work Persons who usually work full time Usually work full time Usually work part time 2,724 6,616 18,147 99,609 40.0 43.7 24,930 2,404 6,158 16,368 93,734 40.0 43.5 470 28 7 10 10 442 50.5 51.3 7,822 1,088 242 461 385 6,735 41.8 43.1 Manufacturing Durable goods Nondurable goods 18,562 11,336 7,227 1,875 990 886 220 94 125 937 559 378 718 336 382 16,687 10,346 6,341 42.6 43.1 41.9 43.6 43.8 43.2 Transportation and public utilities ... Wholesale and retail trade Finance, insurance, and real estate 9,178 25,565 7,558 1,281 7,854 1,216 153 818 70 483 1,116 393 644 5,920 753 7,897 17,710 6,341 42.6 37.8 40.8 44.5 43.7 43.1 Service industries Private households All other industries Public administration 43,863 738 43,125 5,646 10,841 427 10,413 748 866 77 788 29 2,323 32 2,291 433 7,651 318 7,334 285 33,023 311 32,712 4,898 38.8 28.1 39.0 41.7 43.3 40.2 43.3 42.9 Self-employed workers Unpaid family workers 8,333 99 2,507 50 320 456 2 1,731 48 5,826 49 39.8 32.6 46.1 Mining Construction 1 Data not shown where base is less than 75,000. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 31 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-26. Persons at work in nonagricultural industries by age, sex, race, marital status, and usual full- or part-time status (Numbers in thousands) September 2000 Worked 1 to 34 hours For noneconomic reasons Total at work Total Total, 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over 127,096 6,425 2,535 3,890 120,671 12,717 107,954 91,687 16,267 27,487 4,498 2,324 2,174 22,990 3,886 19,104 14,251 4,853 Men, 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over 67,698 3,218 1,244 1,974 64,480 6,583 57,897 49,067 8,830 Women, 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over Age, sex, race, and marital status Average hours For economic reasons Worked 35 hours or more Total at work Persons who usually work full time Usually work full time Usually work part time 2,724 243 24 219 2,481 451 2,030 1,681 348 6,616 240 45 195 6,376 650 5,725 4,784 942 18,147 4,014 2,255 1,760 14,133 2,784 11,349 7,786 3,563 99,609 1,927 211 1,716 97,681 8,831 88,850 77,436 11,414 40.0 25.3 18.2 30.0 40.7 36.6 41.2 41.9 37.5 43.7 39.5 37.1 39.8 43.7 41.7 44.0 44.1 43.0 10,088 2,120 1,133 987 7,968 1,630 6,338 4,271 2,067 1,304 115 13 101 1,190 247 943 754 189 3,187 129 26 103 3,058 309 2,749 2,278 471 5,597 1,877 1,094 783 3,720 1,074 2,646 1,239 1,407 57,609 1,098 111 987 56,512 4,953 51,558 44,796 6,763 42.8 27.0 19.0 32.0 43.6 38.4 44.2 44.9 40.1 45.1 40.4 36.9 40.8 45.2 42.5 45.5 45.6 44.3 59,398 3,207 1,291 1,916 56,191 6,134 50,057 42,620 7,437 17,399 2,378 1,191 1,186 15,022 2,256 12,765 9,980 2,786 1,420 129 11 118 1,291 205 1,087 928 159 3,429 111 19 92 3,317 341 2,976 2,506 471 12,551 2,138 1,161 977 10,413 1,711 8,702 6,547 2,156 41,999 830 100 729 41,169 3,878 37,292 32,641 4,651 36.7 23.7 17.4 27.9 37.5 34.6 37.8 38.4 34.3 41.7 38.4 37.4 38.5 41.8 40.7 41.9 42.0 41.1 White, 16 years and over Men Women 106,373 57,580 48,793 23,472 8,545 14,927 2,095 1,011 1,084 5,508 2,717 2,791 15,869 4,817 11,052 82,900 49,035 33,866 40.0 43.0 36.5 43.9 45.4 41.8 Black, 16 years and over Men Women 14,538 6,797 7,742 2,848 1,021 1,827 498 213 285 874 331 542 1,476 477 999 11,691 5,775 5,915 39.4 41.2 37.8 41.9 43.2 40.8 Men, 16 years and over: Married, spouse present Widowed, divorced, or separated Single (never married) 40,913 8,045 18,740 4,184 1,087 4,817 489 218 597 1,936 424 827 1,759 445 3,392 36,729 6,958 13,923 44.7 43.4 38.5 45.9 44.9 43.2 Women, 16 years and over: Married, spouse present Widowed, divorced, or separated Single (never married) 31,494 12,057 15,848 9,112 2,723 5,564 591 336 493 1,769 820 839 6,752 1,568 4,231 22,381 9,334 10,284 36.7 39.0 35.1 41.6 42.0 41.7 TOTAL Race Marital status NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 32 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-27. Persons at work in nonfarm occupations by sex and usual full- or part-time status (Numbers in thousands) September 2000 Worked 1 to 34 hours Occupation and sex Total, 16 years and over1 Managerial and professional specialty Executive, administrative, and managerial Professional specialty Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical Service occupations Private household Protective service Service, except private household and protective Precision production, craft, and repair Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Men, 16 years and over1 Managerial and professional specialty Executive, administrative, and managerial Professional specialty Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical Service occupations Private household Protective service Service, except private household and protective Precision production, craft, and repair Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Women, 16 years and over1 Managerial and professional specialty Executive, administrative, and managerial Professional specialty Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical Service occupations Private household Protective service Service, except private household and protective Precision production, craft, and repair Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers 1 2 For noneconomic reasons Total at work Total For economic reasons 126,998 27,458 39,799 18,968 20,832 37,425 4,147 15,509 17,769 17,359 677 2,268 14,413 14,533 17,882 7,046 5,552 5,284 Worked 35 hours or more Total at work Persons who usually work full time Usually work full time Usually work part time 2,709 6,590 18,159 99,540 40.0 43.7 6,190 2,290 3,900 9,723 822 4,209 4,692 6,520 387 381 5,752 1,732 3,293 905 907 1,481 319 114 205 727 56 404 268 765 69 35 661 336 561 181 137 243 1,961 974 987 1,960 255 633 1,071 883 17 118 749 854 932 374 273 285 3,910 1,202 2,708 7,035 511 3,171 3,353 4,872 301 228 4,342 542 1,800 350 497 953 33,609 16,678 16,931 27,702 3,324 11,300 13,078 10,839 290 1,888 8,661 12,801 14,588 6,140 4,645 3,803 42.8 44.4 41.2 38.1 40.0 39.4 36.4 35.1 28.2 42.7 34.2 42.4 40.6 41.1 43.6 36.9 45.4 46.1 44.7 42.6 43.0 44.8 40.7 42.1 41.1 45.5 41.4 43.5 43.2 42.2 46.1 41.1 67,458 9,989 1,287 3,161 5,541 57,469 42.9 45.2 19,964 10,414 9,550 13,725 2,063 7,965 3,697 6,833 37 1,860 4,936 13,289 13,646 4,308 5,045 4,294 2,012 875 1,137 2,265 238 1,354 673 1,936 16 276 1,644 1,489 2,287 408 719 1,161 156 68 88 215 26 150 39 200 848 417 431 570 110 277 184 300 25 175 318 398 82 113 202 97 203 756 687 223 239 225 1,008 389 619 1,480 102 928 450 1,436 16 155 1,265 415 1,202 103 366 733 17,952 9,539 8,413 11,460 1,824 6,611 3,024 4,897 22 1,584 3,292 11,800 11,359 3,900 4,326 3,133 45.8 47.0 44.6 42.3 43.0 43.5 39.3 38.2 (2) 43.6 36.3 42.7 41.5 42.5 44.3 37.4 47.3 48.1 46.4 45.3 44.5 46.8 42.6 43.8 (2) 45.9 42.9 43.6 43.8 43.1 46.3 41.4 59,540 17,468 1,421 3,429 12,618 42,072 36.7 41.7 19,835 8,554 11,281 23,700 2,084 7,544 14,073 10,526 640 408 9,477 1,244 4,235 2,737 508 990 4,178 1,415 2,763 7,457 584 2,854 4,019 4,584 372 104 4,108 243 1,006 497 188 321 163 45 118 512 30 254 229 565 69 10 486 18 164 99 24 40 1,113 557 556 1,390 145 357 887 583 17 21 545 99 244 151 34 60 2,903 813 2,090 5,556 409 2,244 2,903 3,436 286 73 3,077 126 598 247 130 220 15,657 7,139 8,518 16,243 1,500 4,689 10,054 5,942 269 304 5,369 1,001 3,229 2,240 320 670 39.7 41.4 38.4 35.6 37.0 35.0 35.7 33.0 28.3 38.6 33.1 39.2 37.8 39.0 37.0 34.8 43.3 43.6 43.0 40.7 41.1 42.0 40.1 40.8 41.2 43.7 40.6 41.9 40.8 40.8 42.7 39.8 Excludes farming, forestry, and fishing occupations. Data not shown where base is less than 75,000. Average hours NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 33 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-28. Unemployed persons by marital status, race, age, and sex Men Marital status, race, and age Thousands of persons Unemployment rates Sept. 1999 Sept. 2000 Total, 16 years and over Married, spouse present Widowed, divorced, or separated Single (never married) 2,790 872 366 1,552 2,666 832 354 White, 16 years and over Married, spouse present Widowed, divorced, or separated Single (never married) 2,009 658 280 1,072 1,980 668 282 Black, 16 years and over Married, spouse present Widowed, divorced, or separated Single (never married) 634 150 75 409 567 125 67 375 Total, 25 years and over Married, spouse present Widowed, divorced, or separated Single (never married) 1,715 799 343 573 White, 25 years and over Married, spouse present Widowed, divorced, or separated Single (never married) Black, 25 years and over Married, spouse present Widowed, divorced, or separated Single (never married) NOTE: Sept. 1999 Sept. 2000 Thousands of persons Sept. 1999 Sept. 2000 Unemployment rates Sept. 1999 Sept. 2000 3.8 2.0 4.2 7.4 3.6 1.9 3.9 6.9 2,871 901 528 1,442 2,658 949 534 1,175 4.4 2.6 4.0 8.2 4.1 2.8 4.0 6.6 3.2 1.7 3.8 6.3 3.1 1.7 3.8 6.0 1,993 724 375 894 1,924 784 416 724 3.8 2.4 3.6 6.9 3.6 2.6 4.0 5.5 8.3 4.3 6.6 13.6 7.4 3.6 5.6 12.4 748 110 143 495 615 112 110 393 8.5 3.9 6.2 13.3 7.1 4.0 4.8 10.9 1,639 789 341 509 2.7 1.8 4.1 5.1 2.6 1.8 3.9 4.5 1,777 813 483 481 1,757 836 509 413 3.3 2.5 3.8 5.4 3.2 2.5 4.0 4.6 1,209 603 263 343 1,232 643 271 318 2.3 1.6 3.7 3.9 2.3 1.7 3.7 3.6 1,253 647 339 266 1,305 690 394 220 2.8 2.3 3.4 4.4 2.9 2.4 3.9 3.6 394 131 70 192 333 110 67 156 6.2 3.8 6.2 10.6 5.2 3.3 5.7 8.2 434 102 133 198 374 100 107 167 5.9 3.8 5.9 8.4 5.2 3.7 4.8 7.2 1,480 1,029 Beginning in January 2000, data reflect revised population Women controls used in the household survey. 34 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-29. Unemployed persons by occupation and sex Thousands of persons Occupation Unemployment rates Total Men Total Sept. 1999 Sept. 2000 5,661 5,324 4.1 3.8 3.8 3.6 4.4 4.1 826 374 452 810 407 403 2.0 1.9 2.1 1.9 2.0 1.8 1.9 1.7 2.1 1.7 1.8 1.6 2.0 2.0 2.0 2.2 2.3 2.0 Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical 1,404 127 678 599 1,379 83 633 3.5 2.8 4.1 3.2 3.4 1.9 3.8 3.5 3.0 3.1 2.9 3.1 3.0 1.7 2.5 4.6 3.8 2.5 5.2 3.2 3.7 2.1 5.1 3.2 Service occupations Private household Protective service Service, except private household and protective 1,117 69 48 977 75 73 830 5.1 9.5 3.0 5.3 5.2 (2) 1.5 6.5 4.9 1,000 5.9 7.3 1.9 6.5 (2) 2.7 5.8 6.4 7.0 3.9 6.4 5.3 9.8 4.4 5.0 528 136 270 123 474 159 216 99 3.5 2.8 4.4 3.1 3.1 3.2 3.3 2.5 3.2 2.4 4.2 2.4 3.0 3.0 3.3 2.4 6.4 10.1 5.1 3.7 6.6 2.2 3.1 1,147 449 191 508 107 401 1,122 431 224 467 129 338 5.9 5.7 3.3 8.9 10.4 8.5 5.7 5.6 3.7 7.9 10.7 7.2 5.5 5.1 3.0 8.9 10.6 8.4 5.3 4.7 3.5 7.9 10.8 6.9 7.1 6.7 6.0 8.9 2 ( ) 9.0 7.1 7.0 6.1 7.9 2 ) 7.9 146 148 3.9 3.9 3.9 3.6 3.9 5.3 464 302 74 88 382 272 65 44 Total, 16 years and over1 Managerial and professional specialty Executive, administrative, and managerial Professional specialty Precision production, craft, and repair Mechanics and repairers Construction trades Other precision production, craft, and repair , Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Construction laborers Other handlers, equipment cleaners, helpers, and laborers Farming, forestry, and fishing No previous work experience 16 to 19 years 20 to 24 years 25 years and over , 1 Includes a small number of persons whose last job was in the Armed Forces. 2 Data not shown where base is less than 75,000. 663 Sept. 1999 Sept. 2000 Sept. 1999 Women Sept. 2000 Sept. 1999 9.6 Sept. 2000 NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 35 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-30. Unemployed persons by industry and sex Thousands of persons Industry Unemployment rates Total Men Total Women Sept. 1999 Sept. 2000 5,661 5,324 4.1 3.8 3.8 3.6 4.4 4.1 4,504 4,209 4.2 3.9 3.9 3.6 4.6 4.2 Mining Construction 33 405 23 400 5.4 5.4 4.6 5.0 5.6 5.6 5.0 5.0 4.0 3.4 2.4 4.8 Manufacturing Durable goods Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Machinery and computing equipment Electrical machinery, equipment, and supplies Transportation equipment Automobiles Other transportation equipment Professional and photographic equipment Other durable goods industries 766 479 50 43 30 23 69 63 67 78 35 43 30 26 707 383 15 31 5 15 57 71 49 87 52 35 27 26 3.8 3.9 6.1 6.6 5.1 3.1 5.3 2.7 3.5 3.2 2.5 4.2 4.0 3.2 3.6 3.2 2.0 4.5 1.0 2.1 4.3 2.9 2.6 4.0 3.9 4.0 3.8 3.7 3.3 3.5 6.2 7.0 3.4 3.1 4.9 2.6 2.1 2.7 1.9 3.7 4.8 3.9 3.1 3.0 1.7 5.3 .3 2.5 3.4 3.0 1.5 4.2 4.4 3.9 3.9 2.7 5.0 4.8 5.8 5.9 9.2 2.5 6.4 3.1 5.8 5.0 4.2 6.3 2.6 2.9 4.6 3.7 3.4 2.9 2.8 _ 6.8 2.6 4.2 3.2 2.7 4.3 3.6 5.1 Nondurable goods Food and kindred products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Rubber and miscellaneous plastics products Other nondurable goods industries 287 54 17 76 18 65 19 26 11 324 75 15 64 24 53 27 42 25 3.7 3.1 3.4 9.8 3.1 3.9 1.6 2.8 3.7 4.2 4.3 3.1 8.4 4.5 3.0 2.2 4.3 8.4 2.8 2.3 2.7 4.5 3.2 3.9 1.2 2.7 5.0 3.3 3.0 1.2 2.8 3.7 2.6 2.1 4.6 10.5 5.2 4.6 4.6 12.0 2.9 4.1 2.4 3.0 - 5.5 6.5 4.9 11.7 6.5 3.6 2.4 3.8 3.4 218 136 82 1,378 141 1,237 204 1,501 670 831 268 205 63 1,270 118 1,152 174 1,366 508 859 2.8 2.8 2.7 5.1 2.7 5.7 2.5 4.2 3.2 5.7 3.3 4.0 2.0 4.6 2.2 5.2 2.9 3.2 2.3 4.2 1.9 5.0 2.2 4.0 3.0 3.7 1.6 4.0 2.1 4.7 1.7 3.7 2.5 1.7 3.3 6.0 4.0 6.4 2.7 4.3 4.0 5.2 2.7 5.3 2.3 5.8 2.6 3.8 2.6 2.0 3.4 2.5 5.8 5.2 5.0 6.4 6.6 95 598 464 140 593 382 4.4 2.0 _ 6.2 2.0 _ 4.4 2.0 _ 5.5 1.9 _ 4.4 2.0 8.3 2.1 _ Total, 16 years and over Nonagricultural private wage and salary workers Transportation and public utilities Transportation Communications and other public utilities Wholesale and retail trade Wholesale trade Retail trade Finance, insurance, and real estate Service industries Professional services Other service industries Agricultural wage and salary workers Government, self-employed, and unpaid family workers No previous work experience NOTE: Beginning in January 2000, data reflect revised population controls Sept. 1999 Sept. 2000 2.2 3.8 2.4 used in the household survey. 36 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-31. Unemployed persons by reason for unemployment, sex, age, and race (Numbers In thousands) Reason Total, 16 years and over Women, 20 years and over Men, 20 years and over Both sexes, 16 to 19 White Black years Sept. 1999 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 5,661 2,299 620 1,678 1,158 520 871 2,028 464 5,324 2,258 595 1,662 1,104 558 853 1,832 382 2,208 1,225 314 912 637 275 328 611 43 2,130 1,199 328 871 578 292 394 497 40 2,299 834 230 604 462 141 427 919 119 2,182 894 219 675 480 195 365 855 69 1,154 240 77 163 59 104 116 497 302 1,012 165 48 117 46 71 94 480 272 4,002 1,644 484 1,160 810 350 702 1,369 287 3,903 1,381 1,182 1,660 529 496 463 114 106 1,197 415 389 820 268 241 377 146 148 136 177 648 1,310 587 428 81 130 285 40.6 11.0 29.6 15.4 35.8 8.2 42.4 11.2 31.2 16.0 34.4 7.2 55.5 14.2 41.3 14.9 27.7 1.9 56.3 15.4 40.9 18.5 23.3 1.9 36.3 10.0 26.3 18.6 40.0 5.2 41.0 10.0 30.9 16.7 39.2 3.1 20.8 6.6 14.1 10.0 43.1 26.1 16.3 4.8 11.5 9.3 47.5 26.9 41.1 12.1 29.0 17.5 34.2 7.2 42.5 11.9 30.7 16.6 33.6 7.3 42.5 9.4 1.7 .6 1.5 .3 1.6 .6 1.3 .3 1.7 .5 .9 .1 1.7 .6 .7 .1 1.4 .7 1.5 .2 1.5 .6 1.4 .1 3.0 1.5 6.3 3.8 2.1 1.2 6.1 3.5 1.4 .6 1.2 .2 1.4 .6 1.1 .2 3.2 .8 3.6 .8 Sept. 2000 NUMBER OF UNEMPLOYED Total unemployed Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff Permanent job losers Persons who completed temporary jobs Job leavers Reentrants New entrants PERCENT DISTRIBUTION Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff Job leavers Reentrants New entrants 38.3 8.3 30.0 9.8 41.9 9.0 32.9 15.0 36.2 6.9 UNEMPLOYED AS A PERCENT OF THE CIVILIAN LABOR FORCE Job losers and persons who completed temporary jobs Job leavers Reentrants New entrants NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 37 3.0 1.1 2.6 .5 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-32. Unemployed persons by reason for unemployment, sex, age, and duration of unemployment (Percent distribution) September 2000 Total unemployed Duration of unemployment Reason, sex, and age 15 weeks and over Thousands of persons Percent Less than 5 weeks 5 to 14 weeks Total 15 to 26 weeks Total, 16 years and over Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff Permanent job losers Persons who completed temporary jobs Job leavers Reentrants New entrants 5,324 2,258 595 1,662 1,104 558 853 1,832 382 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 47.8 48.7 64.3 43.1 37.9 53.5 50.4 47.0 40.7 29.7 27.4 24.8 28.4 29.4 26.3 31.4 30.2 37.7 22.4 23.9 10.9 28.5 32.7 20.2 18.2 22.8 21.6 10.7 11.8 Men, 20 years and over Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff Permanent job losers Persons who completed temporary jobs Job leavers Reentrants New entrants 2,130 1,199 328 871 578 292 394 497 40 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 48.1 50.8 63.5 46.1 40.1 57.8 56.1 37.5 28.0 25.2 26.0 24.9 26.9 21.0 28.7 32.6 23.9 24.0 10.5 29.0 33.0 21.1 15.2 29.9 10.3 9.8 5.4 11.5 Women, 20 years and over Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff Permanent job losers Persons who completed temporary jobs Job leavers Reentrants New entrants 2,182 894 219 675 480 195 365 855 69 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 42.7 40.5 59.1 34.5 33.0 38.2 43.2 45.3 31.0 32.8 27.1 34.7 32.6 39.8 32.7 28.7 26.3 26.7 13.8 30.8 34.5 22.0 24.1 26.0 13.4 16.3 13.5 17.2 19.1 12.5 9.9 11.9 Both sexes, 16 to 19 years Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff Permanent job losers Persons who completed temporary jobs Job leavers Reentrants New entrants 1,012 165 48 117 46 71 94 480 272 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 58.5 77.9 30.6 14.3 1 ( ) 71.4 1 ( ) 17.4 10.9 7.9 (1) 11.1 () () 37.8 30.3 38.7 1 Data not shown where base is less than 75,000. NOTE: Beginning in January 2000, data reflect revised population controls 1 1 54.3 60.1 45.4 11.7 12.0 3.0 15.3 17.0 11.9 10.3 12.1 11.1 7.9 13.2 15.8 8.2 7.9 10.7 10.5 13.7 14.2 5.2 17.5 18.7 15.2 14.3 6.0 8.0 12.9 7.2 17.0 1 1 1 27 weeks and over 1 1 12.9 10.4 .3 13.7 15.4 9.5 14.2 14.1 1 5.9 2.5 ) 3.6 5.0 5.3 ) 7.5 1 1 ) 7.9 3.4 6.6 () 7.9 6.3 9.3 9.6 15.9 used in the household survey. A-33. Unemployed total and full-time workers by duration of unemployment Total Duration of unemployment Total 16 years and over Less than 5 weeks 5 to 14 weeks 5 to 10 weeks 11 to 14 weeks 15 weeks and over . 15 to 26 weeks 27 weeks and over 27 to 51 weeks 52 weeks and over Average (mean) duration in weeks Median duration in weeks Thousands of persons Percent distribution Thousands of persons Percent distribution Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 5,661 2,627 1,664 1,099 566 1,370 672 698 326 372 5,324 2,547 1,583 1,091 492 1,194 571 623 313 310 100.0 46.4 29.4 19.4 10.0 24.2 11.9 12.3 5.8 6.6 100.0 47.8 29.7 20.5 9.2 22.4 10.7 11.7 5.9 5.8 4,335 1,847 1,294 855 439 1,193 575 619 304 315 4,152 1,807 1,298 898 401 1,047 491 557 285 271 100.0 42.6 29.9 19.7 10.1 27.5 13.3 14.3 7.0 7.3 100.0 43.5 31.3 21.6 9.6 25.2 11.8 13.4 6.9 6.5 13.1 6.0 12.1 5.2 14.5 7.2 13.1 6.7 NOTE: Beginning in January 2000, data reflect revised population controls Full-time workers used in the household survey. 38 _ HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-34. Unemployed persons by age, sex, race, marital status, and duration of unemployment September 2000 Weeks Thousands of persons Sex, age, race, and marital status Total 15 weeks and over Less than 5 weeks 5 to 14 weeks Total 15 to 26 weeks 27 weeks and over Average (mean) duration Median duration 12.1 7.8 10.9 11.2 14.0 14.4 16.8 18.3 5.2 3.9 4.5 4.8 6.7 7.4 7.7 7.5 TOTAL Total, 16 years and over 16 to 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 years and over 5,324 1,012 915 1,109 1,051 753 331 153 2,547 592 462 543 458 301 131 60 1,583 Men, 16 years and over 16 to 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 years and over 2,666 536 491 520 480 377 152 110 1,336 761 312 245 165 136 156 Women, 16 years and over 16 to 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 years and over 2,658 477 424 589 571 376 179 43 1,211 280 White, 16 years and over Men Women Black, 16 years and over Men Women 310 262 331 309 242 94 36 269 149 217 172 100 32 22 76 45 822 145 125 175 1,194 110 192 235 284 211 106 57 571 60 39 31 623 50 88 126 148 118 67 26 569 59 252 33 63 36 51 45 7 17 317 26 47 59 62 60 37 26 12.0 7.6 11.3 10.8 13.1 13.7 19.3 22.0 4.5 3.9 4.6 4.3 6.1 6.5 4.6 8.1 306 25 41 67 86 58 30 12.1 7.9 10.4 11.6 14.7 15.1 14.6 5.9 4.0 4.4 5.8 7.1 7.9 8.7 110 95 113 106 44 43 625 51 103 109 137 92 159 140 172 142 62 105 62 15 14 14 319 27 40 73 86 47 32 14 3,903 1,980 1,924 1,957 904 1,170 555 615 776 372 404 420 189 231 357 183 174 10.9 10.8 10.9 4.5 4.2 5.3 1,182 567 615 489 240 249 357 168 189 336 158 178 123 46 77 213 112 101 15.0 15.0 14.9 7.6 7.1 8.2 Men, 16 years and over: Married, spouse present Widowed, divorced, or separated ... Single (never married) 832 354 1,480 429 153 754 219 103 438 183 108 55 288 76 42 134 154 13.1 15.4 10.6 4.4 7.6 4.4 Women, 16 years and over: Married, spouse present Widowed, divorced, or separated ... Single (never married) 949 534 1,175 411 214 586 308 152 363 230 168 227 133 86 97 83 126 12.1 14.2 11.1 6.3 7.8 4.6 217 273 240 129 55 82 Race 1,053 Marital status 1 Data not shown where base is less than 75,000. NOTE: Beginning in January 2000, data reflect revised population controls 98 used in the household survey. 39 101 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-35. Unemployed persons by occupation, industry, and duration of unemployment September 2000 Thousands of persons Occupation and industry 15 weeks and over Less than Total Weeks 5 to 14 weeks 5 weeks 15 to 26 weeks Total 27 weeks and over Average (mean) duration Median duration OCCUPATION Managerial and professional specialty Technical, sales, and administrative support Service occupations Precision production, craft, and repair Operators, fabricators, and laborers Farming, forestry, and fishing 355 641 472 271 536 95 244 404 304 113 328 43 212 334 202 90 258 9 106 158 80 53 127 7 106 176 122 37 131 2 12.6 12.2 12.0 10.8 12.3 5.9 6.0 5.6 5.1 3.9 5.4 3.7 140 412 711 386 324 278 1,276 179 1,550 150 82 229 343 201 142 123 609 76 725 68 40 98 199 99 99 91 416 43 442 56 19 85 169 86 83 64 251 60 383 26 15 37 83 56 28 26 95 29 213 7 4 48 86 30 56 38 155 31 169 19 7.1 11.6 12.4 10.2 15.0 13.0 11.7 14.1 11.7 11.5 4.0 4.1 5.1 4.3 6.9 7.4 5.2 6.8 5.5 5.3 382 155 144 82 40 42 13.2 7.7 810 1,379 977 474 1,122 148 INDUSTRY1 Agriculture Construction Manufacturing Durable goods Nondurable goods Transportation and public utilities Wholesale and retail trade Finance, insurance, and real estate Services Public administration No previous work experience 1 Includes wage and salary workers only. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. A-36. Persons not in the labor force by desire and availability for work, age, and sex (In thousands) Total Category Sept. 1999 Total not in the labor force Do not want a job now1 Want a job 1 Did not search for work in previous year Searched for work in previous year* Not available to work now Available to work now Reason not currently looking: Discouragement over job prospects3 Reasons other than discouragement Family responsibilities In school or training Ill health or disability Other 4 Sept. 2000 16 to 24 years Sept. 1999 25 to 54 years Sept. 2000 Sept. 1999 Sept. 2000 55 years and over Sept. 1999 Men Sept. 2000 Sept. Women Sept. 2000 Sept. 1999 Sept. 2000 69,048 69,804 12,351 12,360 18,768 19,236 37,929 38,208 25,582 25,980 43,466 43,824 64,853 65,619 10,846 10,896 16,926 17,282 37,081 37,441 23,785 24,116 41,068 41,503 4,196 4,184 1,505 1,464 1,842 1,954 1,863 2,398 2,321 767 1,797 848 2,486 2,548 596 1,012 1,047 1,474 1,502 828 1,088 775 623 1,124 1,709 1,636 817 924 171 819 635 730 754 785 226 829 537 37 214 193 478 330 223 273 255 207 51 248 1,172 1,158 134 516 443 594 594 481 564 578 581 175 289 883 117 252 84 430 250 908 110 199 96 504 95 421 25 209 13 175 57 386 21 151 24 189 141 340 80 39 40 181 149 432 89 47 55 241 53 122 13 44 90 158 420 31 74 17 73 28 164 40 188 168 425 12 106 36 271 131 463 88 88 44 242 81 483 98 93 60 232 4 Includes those who did not actively look for work in the prior 4 weeks for such reasons as child-care and transportation problems, as well as a small number for which reason for nonparticipation was not ascertained. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 1 Includes some persons who are not asked if they want a job. Persons who had a job in the prior 12 months must have searched since the end of that job. 3 Includes believes no work available, could not find work, lacks necessary schooling or training, employer thinks too young or old, and other types of discrimination. 2 Sex Age 40 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-37. Multiple jobholders by selected demographic and economic characteristics (Numbers in thousands) Both sexes Characteristic Men Rate Number 1 Number Women Rate 1 Number Rate1 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Total, 16 years and over2 16 to 19 years 7,584 327 3,899 137 3,762 304 3,458 3,003 454 372 82 5.4 3.8 5.5 4.6 5.6 5.7 5.3 5.7 4.0 3,495 395 3,362 389 2,973 2,626 347 96 5.4 3.9 5.5 4.5 5.6 5.8 4.7 5.1 3.5 3,541 178 5,766 793 659 133 5.5 4.5 5.6 5.3 5.6 5.8 4.9 5.4 3.1 3,685 190 7,257 699 6,559 5.7 4.9 5.7 5.4 5.8 6.0 4.5 4.9 3.3 3,930 132 20 years and over 20 to 24 years 25 years and over 25 to 54 years 55 years and over 55 to 64 years 7,471 311 7,160 712 6,449 5,577 871 742 129 314 33 5.9 5.9 5.9 6.5 5.9 6.1 4.4 4.7 3.1 5.6 5.3 5.7 6.1 5.6 5.8 4.3 5.0 1.9 6,476 794 404 6,383 821 500 5.8 5.3 2.9 5.6 5.4 3.4 3,332 422 215 3,373 412 286 5.4 6.0 2.6 5.5 5.8 3.4 3,144 373 189 3,010 410 214 6.2 4.6 3.3 5.8 5.1 3.5 4,238 1,365 1,981 4,146 1,328 1,997 5.5 6.5 5.6 5.4 6.2 5.5 2,454 477 968 2,527 462 941 5.6 5.7 5.0 5.8 5.3 4.7 1,784 888 1,013 1,618 866 1,056 5.3 7.1 6.3 4.8 6.8 6.4 4,171 1,667 279 1,420 4,072 1,566 336 1,447 2,430 482 193 766 2,338 527 239 805 1,742 1,186 1,734 1,039 86 654 96 642 AGE 65 years and over 3,798 323 3,475 2,951 524 428 3,101 2,763 338 287 51 RACE AND HISPANIC ORIGIN White Black Hispanic origin MARITAL STATUS Married, spouse present Widowed, divorced, or separated Single (never married) FULL- OR PART-TIME STATUS Primary job full time, secondary job part time ... Primary and secondary jobs both part time Primary and secondary jobs both full time Hours vary on primary or secondary job 1 Multiple jobholders as a percent of all employed persons in specified group. 2 Includes a small number of persons who work part time on their primary job and full time on their secondary jobs(s), not shown separately. NOTE: Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups. Beginning in January 2000, data reflect revised population controls used in the household survey. 41 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED A-38. Employment status of male Vietnam-era veterans and nonveterans by age (Numbers in thousands) Civilian noninstitutional population Civilian labor force Sept. 1999 Sept. 2000 Unemployed Employed Total Veteran status and age Percent of labor force Number Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 Sept. 1999 Sept. 2000 VIETNAM-ERA VETERANS Total, 40 years and over 40 to 54 years 40 to 44 years 45 to 49 years 50 to 54 years 55 years and over 7,749 5,390 470 1,798 3,122 2,359 7,697 4,899 252 1,462 3,185 2,798 6,321 4,702 398 1,577 2,727 1,619 6,163 4,218 204 1,274 2,741 1,945 6,150 4,561 378 1,525 2,659 1,589 6,001 4,088 193 1,224 2,671 1,913 171 141 21 52 68 30 162 130 10 50 70 32 2.7 3.0 5.2 3.3 2.5 1.9 2.6 3.1 5.0 3.9 2.5 1.7 21,529 9,478 7,429 4,623 22,543 9,700 7,934 4,909 19,414 8,763 6,697 3,954 20,463 8,924 7,200 4,339 18,980 8,568 6,549 3,863 19,989 8,697 7,039 4,253 434 195 148 91 474 227 161 87 2.2 2.2 2.2 2.3 2.3 2.5 2.2 2.0 NONVETERANS Total, 40 to 54 years 40 to 44 years 45 to 49 years 50 to 54 years NOTE: Male Vietnam-era veterans are men who served in the Armed Forces between August 5, 1964 and May 7, 1975. Nonveterans are men who have never served in the Armed Forces. Beginning in January 2000, data reflect revised population controls used in the household survey. 42 Need information from the Bureau of Labor Statistics / You can get it now on the WEB. Here are the Bureau's addresses. Bureau of Labor Statistics Division of Information Services BLS Regional Offices http://stats.bls.gov http://stats.bls.gov/opbinfo.htm http://stats.bls.gov/regnhome.htm Employment and Unemployment: Employment, hours, and earnings by industry National State and area National labor force statistics Region, State, and metropolitan area labor force data Longitudinal research Covered employment and wages Occupational employment statistics Mass layoff statistics http://stats.bls.gov/ceshome.htm http://stats.bls.gov/790home.htm http://stats.bls.gov/cpshome.htm http://stats.bls.gov/lauhome.htm http://stats.bls.gov/nlshome.htm http://stats.bls.gov/cewhome.htm http://stats.bls.gov/oeshome.htm http://stats.bls.gov/lauhome.htm Prices and Living Conditions: Consumer price indexes Producer price indexes Consumer Expenditure Survey http://stats.bls.gov/cpihome.htm http://stats.bls.gov/ppihome.htm http://stats.bls.gov/csxhome.htm Compensation and Working Conditions: National Compensation Survey Collective bargaining Employment cost trends Employee Benefits Survey Occupational Compensation Survey Safety and health http://stats.bls.gov/comhome.htm http://stats.bls.gov/cbahome.htm http://stats.bls.gov/ecthome.htm http://stats.bls.gov/ebshome.htm http://stats.bls.gov/ocshome.htm http://stats.bls.gov/oshhome.htm Productivity: Quarterly labor productivity Industry productivity Multifactor productivity Employment Projections http://stats.bls.gov/lprhome.htm http://stats.bls.gov/iprhome.htm http://stats.bls.gov/mprhome.htm http://stats.bls.gov/emphome.htm International data: Foreign labor statistics U.S. import and export price indexes http://stats.bls.gov/flshome.htm http://stats.bls.gov/ipphome.htm \ ESTABLISHMENT DATA HISTORICAL EMPLOYMENT B-1. Employees on nonfarm payrolls by major industry, 1948 to date (In thousands) Goods-producing Year and month Total Total private Total Mining Service-producing Construc- Manufaction turing Transportation and public utilities Total Wholesale trade Retail trade Finance, insurance, and real estate Government Services Federal State Local (1) (1) Annual averages 1948. 1949. 44,866 43,754 39,216 37,897 18,774 17,565 994 930 2,198 2,194 15,582 14,441 26,092 26,189 4,189 4,001 2,612 2,610 6,659 6,654 1,800 1,828 5,181 5,239 1,863 1,908 d) 1950. 1951 . 1952 ., 1953.. 1954. 1955. 1956 . 1957. 1958. 19592 45,197 47,819 48,793 50,202 48,990 50,641 52,369 52,855 51,322 53,270 39,170 41,430 42,185 43,556 42,238 43,727 45,091 45,239 43,483 45,186 18,506 19,959 20,198 21,074 19,751 20,513 21,104 20,967 19,513 20,411 901 929 898 866 791 792 822 828 751 732 2,364 2,637 2,668 2,659 2,646 2,839 3,039 2,962 2,817 3,004 15,241 16,393 16,632 17,549 16,314 16,882 17,243 17,176 15,945 16,675 26,691 27,860 28,595 29,128 29,239 30,128 31,264 31,889 31,811 32,857 4,034 4,226 4,248 4,290 4,084 4,141 4,244 4,241 3,976 4,011 2,643 2,735 2,821 2,862 2,875 2,934 3,027 3,037 2,989 3,092 6,743 7,007 7,184 7,385 7,360 7,601 7,831 7,848 7,761 8,035 1,888 1,956 2,035 2,111 2,200 2,298 2,389 2,438 2,481 2,549 5,356 5,547 5,699 5,835 5,969 6,240 6.497 6,708 6,765 7,087 1.928 2,302 2,420 2,305 2,188 2,187 2,209 2,217 2.191 2,233 (D 0) 1.168 1,250 1,328 1,415 1,484 (1) (1) (1) (1) (1) 3,558 3,819 4,071 4,232 4,366 1960. 1961 . 1962. 1963. 1964. 1965. 1966. 1967. 1968 . 1969. 54,189 53,999 55,549 56,653 58,283 60,763 63,901 65,803 67,897 70,384 45,836 45,404 46,660 47,429 48,686 50,689 53,116 54,413 56,058 58,189 20,434 19,857 20,451 20,640 21,005 21,926 23,158 23,308 23,737 24,361 712 672 650 635 634 632 627 613 606 619 2,926 2,859 2,948 3,010 3,097 3,232 3,317 3,248 3,350 3,575 16,796 16,326 16,853 16,995 17,274 18,062 19,214 19,447 19,781 20,167 33,755 34,142 35,098 36,013 37,278 38,839 40,743 42,495 44,158 46,023 4,004 3,903 3,906 3,903 3,951 4,036 4,158 4,268 4,318 4,442 3,153 3,142 3,207 3,258 3,347 3,477 3,608 3,700 3.791 3,919 8,238 8,195 8,359 8,520 8,812 9,239 9,637 9,906 10,308 10,785 2,628 2,688 2,754 2,830 2,911 2,977 3,058 3,185 3,337 3,512 7,378 7,619 7,982 8,277 8,660 9.036 9.498 10.045 10.567 11.169 2,270 2,279 2,340 2.358 2.348 2.378 2.564 2,719 2,737 2.758 1,536 1.607 1,668 1.747 1,856 1,996 2,141 2,302 2,442 2,533 4,547 4,708 4,881 5,121 5,392 5,700 6,080 6.371 6,660 6.904 1970. 1971 . 1972. 1973. 1974. 1975.. 1976.. 1977.. 1978. 1979.. 70,880 71,211 73,675 76,790 78,265 76,945 79,382 82,471 86,697 89,823 58,325 58,331 60,341 63,058 64,095 62,259 64,511 67,344 71,026 73,876 23,578 22,935 23,668 24,893 24,794 22,600 23,352 24,346 25,585 26,461 623 609 628 642 697 752 779 813 851 958 3,588 3,704 3,889 4,097 4,020 3,525 3,576 3,851 4,229 4,463 19,367 18,623 19,151 20,154 20,077 18,323 18,997 19,682 20,505 21,040 47,302 48,276 50,007 51,897 53,471 54,345 56,030 58,125 61,113 63,363 4,515 4,476 4,541 4,656 4,725 4,542 4,582 4,713 4,923 5,136 4.006 4,014 4,127 4,291 4,447 4,430 4,562 4,723 4,985 5,221 11,034 11,338 11,822 12,315 12,539 12,630 13,193 13,792 14,556 14,972 3,645 3,772 3,908 4,046 4,148 4,165 4,271 4,467 4,724 4,975 11.548 11.797 12,276 12,857 13,441 13,892 14.551 15,302 16,252 17,112 2,731 2,696 2,684 2,663 2,724 2,748 2,733 2,727 2,753 2,773 2,664 2,747 2,859 2,923 3,039 3,179 3,273 3,377 3,474 3,541 7.158 7,437 7.790 8,146 8,407 8,758 8,865 9,023 9,446 9,633 1980 .. 1981 .. 1982.. 1983.. 1984.. 1985 .. 1986., 1987.. 1988.. 1989.. 90,406 91,152 89,544 90,152 94,408 97,387 99,344 101,958 105,209 107,884 74,166 75,121 73,707 74,282 78,384 80,992 82,651 84,948 87,823 90,105 25,658 25,497 23,812 23,330 24,718 24,842 24,533 24,674 25,125 25,254 1,027 1,139 1,128 952 966 927 777 717 713 692 4,346 4,188 3,904 3,946 4,380 4,668 4,810 4,958 5,098 5,171 20,285 20,170 18,780 18,432 19,372 19,248 18,947 18,999 19,314 19,391 64,748 65,655 65,732 66,821 69,690 72,544 74,811 77,284 80,084 82,630 5,146 5,165 5,081 4,952 5,156 5,233 5,247 5,362 5,512 5,614 5,292 5,375 5,295 5,283 5,568 5,727 5,761 5,848 6,030 6,187 15,018 15,171 15,158 15,587 16,512 17,315 17,880 18,422 19,023 19,475 5,160 5,298 5,340 5,466 5,684 5,948 6,273 6,533 6,630 6,668 17,890 18,615 19.021 19,664 20.746 21,927 22,957 24,110 25.504 26,907 2,866 2,772 2,739 2,774 2.807 2.875 2,899 2,943 2,971 2.988 3,610 3,640 3,640 3,662 3,734 3,832 3.893 3,967 4,076 4,182 9.765 9,619 9.458 9,434 9,482 9,687 9,901 10.100 10,339 10,609 1990.. 1991 .. 1992.. 1993.. 1994.. 1995.. 1996.. 1997.. 1998.. 109,403 108,249 108,601 110,713 114,163 117,191 119,608 122,690 125,865 128,786 91,098 89,847 89,956 91,872 95,036 97,885 100,189 103,133 106,042 108,616 24,905 23,745 23,231 23,352 23,908 24,265 24,493 24,962 25,414 25,482 709 689 635 610 601 581 580 596 590 535 5,120 4,650 4,492 4,668 4,986 5,160 5,418 5,691 6,020 6,404 19,076 18,406 18,104 18,075 18,321 18,524 18,495 18,675 18,805 18,543 84,497 84,504 85,370 87,361 90,256 92,925 95,115 97,727 100,451 103,304 5,777 5,755 5,718 5,811 5,984 6,132 6,253 6,408 6,611 6,826 6,173 6,081 5,997 5,981 6,162 6,378 6,482 6,648 6,800 6,924 19,601 19,284 19,356 19,773 20,507 21,187 21,597 21,966 22,295 22,788 6,709 6,646 6,602 6,757 6,806 6,911 7,109 7,389 7,569 27,934 28,336 29,052 30,197 31,579 33,117 34,454 36,040 37,533 39,027 3,085 2,966 2,969 2,915 2,870 2,822 2,757 2,699 2,686 2,669 4,305 4.355 4,408 4,488 4,576 4,635 4,606 4,582 4,612 4,695 10,914 11,081 11,267 11,438 11,682 11,849 12.056 12.276 12,525 12,806 7,589 7,599 7,604 7,613 39,321 39,482 39,606 39,707 2,655 2,647 2,646 2,646 4,714 4,722 4,723 4.727 12.854 12,879 12,902 12,935 7,612 7,624 7,621 7,610 7,600 7,588 7,586 7,606 7,622 39,844 39,914 40,090 40,195 40,220 40,401 40,403 40,578 40,778 2,663 2,700 2,816 2,885 3,238 3,092 2,819 2,657 2,624 4,725 4,728 4,733 4,744 4,737 4,716 4,744 4,763 4,767 12,963 12,966 12,998 13,038 13,037 12.994 13.043 13.078 13.071 (1) (1) 0) (D Monthly data, seasonally adjusted 1999: September.. October November... December... 2000: January February March April May June July AugustP September? 129,265 129,523 129,788 130,038 109,042 109,275 109,517 109,730 25,460 25,483 25,527 25,561 527 529 527 530 6,439 6,470 6,516 6,552 18,494 18,484 18,484 18,479 103,805 104,040 104,261 104,477 6,866 6,875 6,898 6,911 6,962 6,973 7,002 22,844 22,863 22,893 22,936 130,387 130,482 131,009 131,419 131,590 131,647 131,607 131,516 131,768 110,036 110,088 110,462 110,752 110,578 110,845 111,001 111,018 111,306 25,677 25,624 25,738 25,725 25,684 25,700 25,756 25,643 25,606 530 533 536 539 539 539 538 537 536 6,652 6,618 6,726 6,694 6,666 18,495 18,473 18,476 18,492 18,479 18,493 18,548 18,431 18,365 104,710 104,858 105,271 105,694 105,906 105,947 105,851 105,873 106,162 6,925 6,937 6,953 6,970 6,962 6,985 7,010 6,941 7,046 7,005 7,011 7,033 7,055 7,048 7,049 7,050 7,062 7,065 22,973 22,978 23,027 23,197 23,064 23,122 23,196 23,188 23,189 6,670 6,675 6,705 1 NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all unadjusted data (beginning April 1999) and all seasonally adjusted data (beginning January 1996) are subject to revision. Not available. Data include Alaska and Hawaii beginning in 1959. This inclusion resulted in an increase of 212,000 (0.4 percent) in the nonfarm total for the March 1959 benchmark month. P = preliminary. 2 44 ESTABLISHMENT DATA HISTORICAL HOURS AND EARNINGS B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major industry, 1964 to date Total private1 Year and month Weekly hours Hourly earnings Mining Weekly earnings Weekly hours Construction Hourly earnings Weekly earnings Weekly hours Hourly earnings Weekly earnings Annual averages 1964 1965 1966 1967 1968 1969 38.7 38.8 38.6 38.0 37.8 37.7 $2.36 2.46 2.56 2.68 2.85 3.04 $91.33 95.45 98.82 101.84 107.73 114.61 41.9 42.3 42.7 42.6 42.6 43.0 $2.81 2.92 3.05 3.19 3.35 3.60 $117.74 123.52 130.24 135.89 142.71 154.80 37.2 37.4 37.6 37.7 37.3 37.9 $3.55 3.70 3.89 4.11 4.41 4.79 $132.06 138.38 146.26 154.95 164.49 181.54 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 37.1 36.9 37.0 36.9 36.5 36.1 36.1 36.0 35.8 35.7 3.23 3.45 3.70 3.94 4.24 4.53 4.86 5.25 5.69 6.16 119.83 127.31 136.90 145.39 154.76 163.53 175.45 189.00 203.70 219.91 42.7 42.4 42.6 42.4 41.9 41.9 42.4 43.4 43.4 43.0 3.85 4.06 4.44 4.75 5.23 5.95 6.46 6.94 7.67 8.49 164.40 172.14 189.14 201.40 219.14 249.31 273.90 301.20 332.88 365.07 37.3 37.2 36.5 36.8 36.6 36.4 36.8 36.5 36.8 37.0 5.24 5.69 6.06 6.41 6.81 7.31 7.71 8.10 8.66 9.27 195.45 211.67 221.19 235.89 249.25 266.08 283.73 295.65 318.69 342.99 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 35.3 35.2 34.8 35.0 35.2 34.9 34.8 34.8 34.7 34.6 6.66 7.25 7.68 8.02 8.32 8.57 8.76 8.98 9.28 9.66 235.10 255.20 267.26 280.70 292.86 299.09 304.85 312.50 322.02 334.24 43.3 43.7 42.7 42.5 43.3 43.4 42.2 42.4 42.3 43.0 9.17 10.04 10.77 11.28 11.63 11.98 12.46 12.54 12.80 13.26 397.06 438.75 459.88 479.40 503.58 519.93 525.81 531.70 541.44 570.18 37.0 36.9 36.7 37.1 37.8 37.7 37.4 37.8 37.9 37.9 9.94 10.82 11.63 11.94 12.13 12.32 12.48 12.71 13.08 13.54 367.78 399.26 426.82 442.97 458.51 464.46 466.75 480.44 495.73 513.17 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 34.5 34.3 34.4 34.5 34.7 34.5 34.4 34.6 34.6 34.5 10.01 10.32 10.57 10.83 11.12 11.43 11.82 12.28 12.78 13.24 345.35 353.98 363.61 373.64 385.86 394.34 406.61 424.89 442.19 456.78 44.1 44.4 43.9 44.3 44.8 44.7 45.3 45.4 43.9 43.8 13.68 14.19 14.54 14.60 14.88 15.30 15.62 16.15 16.91 17.09 603.29 630.04 638.31 646.78 666.62 683.91 707.59 733.21 742.35 748.54 38.2 38.1 38.0 38.5 38.9 38.9 39.0 39.0 38.9 39.1 13.77 14.00 14.15 14.38 14.73 15.09 15.47 16.04 16.61 17.18 526.01 533.40 537.70 553.63 573.00 587.00 603.33 625.56 646.13 671.74 Monthly data, not seasonally adjusted 1999: September. October November.. December .. 2000: January February .... March April May June July AugustP SeptemberP 34.3 34.6 34.5 34.6 $13.38 13.41 13.43 13.46 $458.93 463.99 463.34 465.72 44.3 44.5 44.6 44.4 $17.13 17.05 17.01 17.19 $758.86 758.73 758.65 763.24 38.6 40.0 39.5 38.8 $17.46 17.54 17.42 17.47 $673.96 701.60 688.09 677.84 34.4 34.2 34.2 34.6 34.3 34.6 34.9 34.7 34.4 13.58 13.58 13.59 13.69 13.64 13.62 13.68 13.67 13.88 467.15 464.44 464.78 473.67 467.85 471.25 477.43 474.35 477.47 44.3 44.1 43.9 44.9 44.4 45.1 45.3 45.0 45.4 17.30 17.20 17.28 17.29 17.19 17.09 17.13 16.94 17.19 766.39 758.52 758.59 776.32 763.24 770.76 775.99 762.30 780.43 38.3 38.7 38.8 39.2 39.6 39.6 40.3 40.2 40.0 17.39 17.42 17.54 17.66 17.71 17.74 17.95 18.05 18.19 666.04 674.15 680.55 692.27 701.32 702.50 723.39 725.61 727.60 See footnotes at end of table. 45 ESTABLISHMENT DATA HISTORICAL HOURS AND EARNINGS B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major industry, 1964 to date—Continued Transportation and public utilities Manufacturing Year and month Weekly hours Hourly earnings Hourly earnings, excluding overtime Weekly hours Weekly earnings Hourly earnings Weekly earnings Wholesale trade Weekly hours Hourly earnings Weekly earnings Annual averages 1964 1965 1966 1967 1968 1969 40.7 41.2 41.4 40.6 40.7 40.6 $2.53 2.61 2.71 2.82 3.01 3.19 $2.43 2.50 2.59 2.71 2.88 3.05 $102.97 107.53 112.19 114.49 122.51 129.51 41.1 41.3 41.2 40.5 40.6 40.7 $2.89 3.03 3.11 3.23 3.42 3.63 $118.78 125.14 128.13 130.82 138.85 147.74 40.7 40.8 40.7 40.3 40.1 40.2 $2.52 2.60 2.73 2.87 3.04 3.23 $102.56 106.08 111.11 115.66 121.90 129.85 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 39.8 39.9 40.5 40.7 40.0 39.5 40.1 40.3 40.4 40.2 3.35 3.57 3.82 4.09 4.42 4.83 5.22 5.68 6.17 6.70 3.23 3.45 3.66 3.91 4.25 4.67 5.02 5.44 5.91 6.43 133.33 142.44 154.71 166.46 176.80 190.79 209.32 228.90 249.27 269.34 40.5 40.1 40.4 40.5 40.2 39.7 39.8 39.9 40.0 39.9 3.85 4.21 4.65 5.02 5.41 5.88 6.45 6.99 7.57 8.16 155.93 168.82 187.86 203.31 217.48 233.44 256.71 278.90 302.80 325.58 39.9 39.4 39.4 39.2 38.8 38.6 38.7 38.8 38.8 38.8 3.43 3.64 3.85 4.07 4.38 4.72 5.02 5.39 5.88 6.39 136.86 143.42 151.69 159.54 169.94 182.19 194.27 209.13 228.14 247.93 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 39.7 39.8 38.9 40.1 40.7 40.5 40.7 41.0 41.1 41.0 7.27 7.99 8.49 8.83 9.19 9.54 9.73 9.91 10.19 10.48 7.02 7.72 8.25 8.52 8.82 9.16 9.34 9.48 9.73 10.02 288.62 318.00 330.26 354.08 374.03 386.37 396.01 406.31 418.81 429.68 39.6 39.4 39.0 39.0 39.4 39.5 39.2 39.2 38.2 38.3 8.87 9.70 10.32 10.79 11.12 11.40 11.70 12.03 12.24 12.57 351.25 382.18 402.48 420.81 438.13 450.30 458.64 471.58 467.57 481.43 38.4 38.5 38.3 38.5 38.5 38.4 38.3 38.1 38.1 38.0 6.95 7.55 8.08 8.54 8.88 9.15 9.34 9.59 9.98 10.39 266.88 290.68 309.46 328.79 341.88 351.36 357.72 365.38 380.24 394.82 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 40.8 40.7 41.0 41.4 42.0 41.6 41.6 42.0 41.7 41.7 10.83 11.18 11.46 11.74 12.07 12.37 12.77 13.17 13.49 13.91 10.37 10.71 10.95 11.18 11.43 11.74 12.12 12.45 12.79 13.18 441.86 455.03 469.86 486.04 506.94 514.59 531.23 553.14 562.53 580.05 38.4 38.1 38.3 39.3 39.7 39.4 39.6 39.7 39.5 38.7 12.92 13.20 13.43 13.55 13.78 14.13 14.45 14.92 15.31 15.69 496.13 502.92 514.37 532.52 547.07 556.72 572.22 592.32 604.75 607.20 38.1 38.1 38.2 38.2 38.4 38.3 38.3 38.4 38.3 38.3 10.79 11.15 11.39 11.74 12.06 12.43 12.87 13.45 14.07 14.58 411.10 424.82 435.10 448.47 463.10 476.07 492.92 516.48 538.88 558.41 Monthly data, not seasonally adjusted 1999: September. October November .. December.. 2000: January February .... March April May June July AugustP SeptemberP 41.7 42.0 42.2 42.5 $14.11 14.03 14.08 14.20 $13.33 13.26 13.30 13.40 $588.39 589.26 594.18 603.50 38.5 38.4 38.3 38.4 $15.80 15.78 15.90 15.96 $608.30 605.95 608.97 612.86 38.2 38.5 38.4 38.4 $14.68 14.74 14.76 14.85 $560.78 567.49 566.78 570.24 41.6 41.5 41.5 41.7 41.4 41.7 41.1 41.4 41.7 14.19 14.19 14.22 14.28 14.27 14.34 14.37 14.38 14.51 13.47 13.47 13.49 13.54 13.54 13.58 13.64 13.62 13.72 590.30 588.89 590.13 595.48 590.78 597.98 590.61 595.33 605.07 38.3 38.1 38.0 38.8 38.2 38.5 39.2 38.9 38.9 15.98 16.05 16.02 16.15 16.13 16.17 16.19 16.22 16.28 612.03 611.51 608.76 626.62 616.17 622.55 634.65 630.96 633.29 38.6 38.1 38.2 38.9 38.4 38.5 38.8 38.3 38.4 14.99 14.91 14.83 15.14 14.99 15.04 15.25 15.16 15.35 578.61 568.07 566.51 588.95 575.62 579.04 591.70 580.63 589.44 See footnotes at end of table. 46 ESTABLISHMENT DATA HISTORICAL HOURS AND EARNINGS B-2. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major industry, 1964 to date—Continued Finance, insurance, and real estate Retail trade Year and month Weekly hours Hourly earnings Weekly earnings Weekly hours Hourly earnings Weekly earnings Services Weekly hours Hourly earnings Weekly earnings Annual averages 1964 1965 1966 1967 1968 1969 37.0 36.6 35.9 35.3 34.7 34.2 $1.75 1.82 1.91 2.01 2.16 2.30 $64.75 66.61 68.57 70.95 74.95 78.66 37.3 37.2 37.3 37.1 37.0 37.1 $2.30 2.39 2.47 2.58 2.75 2.93 $85.79 88.91 92.13 95.72 101.75 108.70 36.1 35.9 35.5 35.1 34.7 34.7 $1.94 2.05 2.17 2.29 2.42 2.61 $70.03 73.60 77.04 80.38 83.97 90.57 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 33.8 33.7 33.4 33.1 32.7 32.4 32.1 31.6 31.0 30.6 2.44 2.60 2.75 2.91 3.14 3.36 3.57 3.85 4.20 4.53 82.47 87.62 91.85 96.32 102.68 108.86 114.60 121.66 130.20 138.62 36.7 36.6 36.6 36.6 36.5 36.5 36.4 36.4 36.4 36.2 3.07 3.22 3.36 3.53 3.77 4.06 4.27 4.54 4.89 5.27 112.67 117.85 122.98 129.20 137.61 148.19 155.43 165.26 178.00 190.77 34.4 33.9 33.9 33.8 33.6 33.5 33.3 33.0 32.8 32.7 2.81 3.04 3.27 3.47 3.75 4.02 4.31 4.65 4.99 5.36 96.66 103.06 110.85 117.29 126.00 134.67 143.52 153.45 163.67 175.27 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 30.2 30.1 29.9 29.8 29.8 29.4 29.2 29.2 29.1 28.9 4.88 5.25 5.48 5.74 5.85 5.94 6.03 6.12 6.31 6.53 147.38 158.03 163.85 171.05 174.33 174.64 176.08 178.70 183.62 188.72 36.2 36.3 36.2 36.2 36.5 36.4 36.4 36.3 35.9 35.8 5.79 6.31 6.78 7.29 7.63 7.94 8.36 8.73 9.06 9.53 209.60 229.05 245.44 263.90 278.50 289.02 304.30 316.90 325.25 341.17 32.6 32.6 32.6 32.7 32.6 32.5 32.5 32.5 32.6 32.6 5.85 6.41 6.92 7.31 7.59 7.90 8.18 8.49 8.88 9.38 190.71 208.97 225.59 239.04 247.43 256.75 265.85 275.93 289.49 305.79 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 28.8 28.6 28.8 28.8 28.9 28.8 28.8 28.9 29.0 29.0 6.75 6.94 7.12 7.29 7.49 7.69 7.99 8.33 8.74 9.08 194.40 198.48 205.06 209.95 216.46 221.47 230.11 240.74 253.46 263.32 35.8 35.7 35.8 35.8 35.8 35.9 35.9 36.1 36.4 36.2 9.97 10.39 10.82 11.35 11.83 12.32 12.80 13.34 14.07 14.62 356.93 370.92 387.36 406.33 423.51 442.29 459.52 481.57 512.15 529.24 32.5 32.4 32.5 32.5 32.5 32.4 32.4 32.6 32.6 32.6 9.83 10.23 10.54 10.78 11.04 11.39 11.79 12.28 12.84 13.36 319.48 331.45 342.55 350.35 358.80 369.04 382.00 400.33 418.58 435.54 Monthly data, not seasonally adjusted 1999: September. October November.. December.. 2000: January February .... March April May June July AugustP SeptemberP 28.8 28.9 28.7 29.3 $9.19 9.21 9.22 9.26 $264.67 266.17 264.61 271.32 36.1 36.1 36.0 36.2 $14.64 14.69 14.74 14.76 $528.50 530.31 530.64 534.31 32.3 32.7 32.7 32.6 $13.45 13.51 13.57 13.65 $434.44 441.78 443.74 444.99 28.5 28.5 28.6 28.9 28.8 29.3 29.8 29.5 28.8 9.33 9.35 9.37 9.42 9.39 9.38 9.38 9.41 9.57 265.91 266.48 267.98 272.24 270.43 274.83 279.52 277.60 275.62 36.8 36.1 35.9 36.7 35.9 36.2 36.7 36.1 36.1 14.99 14.93 14.97 15.12 15.02 14.93 15.01 14.99 15.11 551.63 538.97 537.42 554.90 539.22 540.47 550.87 541.14 545.47 32.7 32.6 32.5 32.8 32.4 32.7 33.0 32.9 32.5 13.78 13.77 13.77 13.83 13.76 13.68 13.74 13.70 13.96 450.61 448.90 447.53 453.62 445.82 447.34 453.42 450.73 453.70 1 Data relate to production workers in mining and manufacturing; construction workers in construction; and nonsupervisory workers in transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services. p = preliminary. NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all unadjusted data from April 1999 forward are subject to revision. 47 ESTABLISHMENT DATA EMPLOYMENT SEASONALLY ADJUSTED B-3. Employees on nonfarm payrolls by major industry and selected component groups, seasonally adjusted (In thousands) 1999 2000 Industry Sept. Total Total private Goods-producing Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug.P Sept.P 129,265 129,523 129,788 130,038 130,387 130,482 131,009 131,419 131,590 131,647 131,607 131,516 131,768 109,042 109,275 109,517 109,730 110,036 110,088 110,462 110,752 110,578 110,845 111,001 111,018 111,306 25,460 25,483 25,527 25,561 25,677 25,624 25,738 25,725 25,684 25,700 25,756 25,643 25,606 Mining Metal mining Coal mining Oil and gas extraction Nonmetallic minerals, except fuels .... 527 45 83 287 112 529 45 83 289 112 527 45 82 288 112 530 45 83 291 111 530 45 81 293 111 533 45 81 296 111 536 45 80 300 111 539 45 80 303 111 539 44 80 305 110 539 44 79 306 110 538 43 79 306 110 537 44 80 304 109 536 44 81 303 108 Construction General building contractors Heavy construction, except building .. Special trade contractors 6,439 1,458 866 4,115 6,470 1,464 872 4,134 6,516 1,470 876 4,170 6,552 1,474 882 4,196 6,652 1,498 892 4,262 6,618 1,491 885 4,242 6,726 1,508 905 4,313 6,694 1,497 899 4,298 6,666 1,497 888 4,281 6,668 1,498 877 4,293 6,670 1,498 881 4,291 6,675 1,504 883 4,288 6,705 1,509 881 4,315 18,494 18,484 18,484 18,479 18,495 18,473 18,476 18,492 18,479 18,493 18,548 18,431 18,365 Durable goods Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Industrial machinery and equipment Computer and office equipment .... Electronic and other electrical equipment Electronic components and accessories Transportation equipment Motor vehicles and equipment Aircraft and parts Instruments and related products .... Miscellaneous manufacturing 11,090 830 551 563 697 1,518 2,133 370 11,083 831 553 562 697 1,519 2,130 369 11,085 831 553 564 698 1,520 2,131 370 11,087 831 552 565 698 1,521 2,132 370 11,099 830 553 568 699 1,523 2,130 369 11,088 832 553 567 699 1,525 2,131 368 11,094 830 555 568 701 1,528 2,124 366 11,104 830 557 567 699 1,534 2,126 364 11,106 828 558 566 699 1,535 2,125 360 11,120 827 558 568 699 1,540 2,130 360 11,161 825 564 571 698 1,539 2,137 361 11,086 818 557 566 695 1,538 2,132 363 11,045 814 557 564 692 1,532 2,123 361 1,670 1,672 1,670 1,673 1,679 1,684 1,682 1,691 1,693 1,697 1,719 1,719 1,712 636 1,880 1,025 483 852 396 638 1,873 1,022 478 849 397 638 1,870 1,022 473 850 398 640 1,867 1,023 470 849 399 642 1,871 1,027 469 847 399 645 1,855 1,029 453 844 398 646 1,865 1,028 467 844 397 651 1,859 1,026 461 844 397 654 1,863 1,026 463 845 394 661 1,864 1,030 460 844 393 670 1,863 1,029 460 849 396 675 1,818 993 456 848 395 679 1,811 989 457 846 394 Nondurable goods Food and kindred products Tobacco products Textile mill products Apparel and other textile products ... Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and misc. plastics products . Leather and leather products 7,404 1,673 38 552 678 666 1,551 1,031 133 1,005 77 7,401 1,673 38 550 674 665 1,551 1,032 133 1,008 77 7,399 1,675 38 552 672 665 1,549 1,031 132 1,009 76 7,392 1,674 38 549 669 665 1,548 1,030 132 1,011 76 7,396 1,681 38 548 666 664 1,549 1,031 132 1,011 76 7,385 1,672 37 549 665 663 1,550 1,031 132 1,010 76 7,382 1,671 35 549 665 662 1,551 1,031 132 1,010 76 7,388 1,678 37 548 665 662 1,554 1,030 132 1,007 75 7,373 1,675 37 545 660 661 1,552 1,028 132 1,008 75 7,373 1,679 37 542 652 663 1,558 1,028 132 1,008 74 7,387 1,680 37 544 656 662 1,561 1,026 131 1,014 76 7,345 1,669 34 541 644 660 1,560 1,023 133 1,006 75 7,320 1,664 36 539 635 657 1,560 1,026 131 998 74 Manufacturing Service-producing Transportation and public utilities ... Transportation Railroad transportation Local and interurban passenger transit Trucking and warehousing Water transportation Transportation by air Pipelines, except natural gas Transportation services Communications and public utilities ., Communications Electric, gas, and sanitary services Wholesale trade Durable goods Nondurable goods 103,805 104,040 104,261 104,477 104,710 104,858 105,271 105,694 105,906 105,947 105,851 105,873 106,162 6,866 4,436 226 6,875 4,441 226 6,898 4,453 226 6,911 4,459 226 6,925 4,470 225 6,937 4,479 225 6,953 4,492 222 6,970 4,509 221 6,962 4,501 219 6,985 4,510 217 7,010 4,536 219 6,941 4,548 221 7,046 4,558 220 488 1,816 189 1,238 13 466 2,430 1,565 865 489 1,818 190 1,241 13 464 2,434 1,572 862 490 1,823 190 1,246 13 465 2,445 1,581 864 491 1,818 192 1,253 13 466 2,452 1,588 864 493 1,827 192 1,256 13 464 2,455 1,591 864 494 1,828 196 1,259 12 465 2,458 1,598 860 494 1,833 197 1,268 12 466 2,461 1,602 859 498 1,839 200 1,270 12 469 2,461 1,604 857 498 1,834 200 1,269 12 469 2,461 1,606 855 493 1,834 202 1,279 12 473 2,475 1,619 856 502 1,846 199 1,282 13 475 2,474 1,618 856 504 1,844 204 1,288 12 475 2,393 1,538 855 505 1,850 202 1,291 12 478 2,488 1,632 856 6,962 4,143 2,819 6,973 4,155 2,818 6,989 4,165 2,824 7,002 4,173 2,829 7,005 4,174 2,831 7,011 4,177 2,834 7,033 4,185 2,848 7,055 4,201 2,854 7,048 4,199 2,849 7,049 4,195 2,854 7,050 4,205 2,845 7,062 4,201 2,861 7,065 4,196 2,869 See footnotes at end of table. 48 ESTABLISHMENT DATA EMPLOYMENT SEASONALLY ADJUSTED B-3. Employees on nonfarm payrolls by major industry and selected component groups, seasonally adjusted—Continued (In thousands) 1999 2000 Industry Jan. Feb. Mar. 22,936 1,012 2,766 2,416 3,501 22,973 1,016 2,765 2,419 3,501 22,978 1,020 2,762 2,417 3,503 23,027 1,034 2,756 2,409 3,502 23,197 1,032 2,791 2,443 3,522 23,064 1,025 2,744 2,388 3,516 23,122 1,018 2,741 2,386 3,515 23,196 1,018 2,727 2,373 3,519 23,188 1,020 2,738 2,390 3,522 23,189 1,015 2,750 2,399 3,525 2,380 1,092 1,190 1,091 7,966 3,008 2,386 1,094 1,182 1,098 7,986 3,005 2,399 1,097 1,176 1,099 7,998 3,019 2,394 1,100 1,184 1,102 7,992 3,021 2,407 1,105 1,188 1,111 8,000 3,029 2,410 1,106 1,195 1,113 8,097 3,037 2,408 1,107 1,195 1,113 8,028 3,035 2,412 1,110 1,197 1,118 8,071 3,050 2,411 1,111 1,206 1,119 8,132 3,064 2,417 1,114 1,203 1,121 8,098 3,069 2,420 1,118 1,205 1,120 8,077 3,077 7,599 3,704 2,063 1,475 250 706 348 703 232 2,378 1,612 7,604 3,707 2,061 1,473 250 704 345 709 233 2,375 1,608 7,613 3,710 2,059 1,471 248 704 343 713 234 2,378 1,610 7,612 3,709 2,058 1,470 247 699 339 716 236 2,372 1,606 7,624 3,717 2,057 1,469 245 699 338 723 238 2,373 1,606 7,621 3,713 2,054 1,466 243 692 330 728 239 2,373 1,605 7,610 3,709 2,052 1,464 243 686 323 732 239 2,365 1,597 7,600 3,703 2,044 1,456 243 684 322 736 239 2,361 1,594 7,588 3,705 2,042 1,454 242 682 321 741 240 2,359 1,593 7,586 3,708 2,036 1,449 240 683 321 748 241 2,354 1,585 7,606 3,716 2,037 1,451 240 683 319 752 244 2,357 1,587 7,622 3,727 2,036 1,449 239 688 324 758 245 2,355 1,584 766 1,511 766 1,517 767 1,522 768 1,525 766 1,531 767 1,534 766 1,535 768 1,536 767 1,536 766 1,524 769 1,524 770 1,533 771 1,540 Services1 Agricultrual services Hotels and other lodging places Personal services Business services Services to buildings Personnel supply services Help supply services Computer and data processing services Auto repair, services, and parking Miscellaneous repair services Motion pictures Amusement and recreation services .... Health services Offices and clinics of medical doctors Nursing and personal care facilities.... Hospitals Home health care services Legal services Educational services Social services Child day care services Residential care Museums and botanical and zoological gardens Membership organizations Engineering and management services Engineering and architectural services Management and public relations 39,321 770 1,863 1,243 9,404 994 3,678 3,298 39,482 774 1,863 1,247 9,465 997 3,712 3,327 39,606 782 1,868 1,252 9,502 998 3,734 3,343 39,707 782 1,868 1,257 9,538 997 3,748 3,358 39,844 806 1,866 1,263 9,571 997 3,753 3,361 39,914 796 1,868 1,265 9,615 1,000 3,773 3,382 40,090 812 1,885 1,265 9,681 1,004 3,817 3,418 40,195 801 1,902 1,272 9,735 1,001 3,885 3,485 40,220 790 1,904 1,262 9,715 996 3,855 3,440 40,401 788 1,922 1,271 9,773 997 3,873 3,444 40,403 794 1,925 1,273 9,768 1,002 3,851 3,433 40,578 799 1,923 1,285 9,809 997 3,873 3,444 40,778 799 1,927 1,284 9,925 998 3,907 3,513 1,866 1,186 377 619 1,672 10,015 1,888 1,785 3,989 635 1,000 2,294 2,823 701 785 1,874 1,191 379 624 1,691 10,027 1,893 1,785 3,992 636 1,003 2,299 2,845 708 790 1,880 1,191 379 625 1,701 10,041 1,898 1,785 3,992 637 1,005 2,305 2,868 721 795 1,888 1,192 382 624 1,703 10,053 1,903 1,787 3,997 637 1,007 2,309 2,884 729 800 1,896 1,194 382 626 1,721 10,066 1,910 1,788 4,001 638 1,008 2,308 2,905 737 803 1,906 1,195 384 623 1,723 10,078 1,914 1,790 4,002 639 1,007 2,309 2,912 740 807 1,915 1,192 384 630 1,729 10,091 1,920 1,791 4,004 639 1,007 2,329 2,929 749 810 1,927 1,195 383 634 1,752 10,093 1,925 1,789 3,999 641 1,004 2,329 2,940 753 812 1,929 1,192 383 632 1,755 10,104 1,928 1,788 4,005 641 1,006 2,356 2,946 758 816 1,933 1,191 384 635 1,789 10,116 1,928 1,786 4,008 642 1,009 2,374 2,945 760 820 1,950 1,194 384 634 1,795 10,143 1,930 1,787 4,018 645 1,012 2,374 2,919 768 826 1,954 1,198 385 635 1,808 10,157 1,933 1,792 4,020 645 1,014 2,389 2,960 776 828 1,958 1,200 386 634 1,793 10,183 1,945 1,793 4,034 642 1,013 2,388 2,995 765 833 98 2,430 3,283 956 1,044 99 2,431 3,300 964 1,054 99 2,434 3,310 969 1,058 99 2,438 3,327 974 1,068 100 2,439 3,344 982 1,074 100 2,439 3,354 984 1,077 101 2,440 3,369 985 1,085 102 2,439 3,368 987 1,088 101 2,438 3,390 995 1,096 103 2,441 3,415 1,005 1,110 103 2,429 3,411 1,007 1,107 103 2,433 3,435 1,010 1,116 102 2,450 3,454 1,013 1,121 Government Federal Federal, except Postal Service State Education Other State government Local Education Other local government 20,223 2,655 1,785 4,714 1,978 2,736 12,854 7,299 5,555 20,248 2,647 1,779 4,722 1,979 2,743 12,879 7,308 5,571 20,271 2,646 1,780 4,723 1,980 2,743 12,902 7,323 5,579 20,308 2,646 1,780 4,727 1,983 2,744 12,935 7,343 5,592 20,351 2,663 1,797 4,725 1,981 2,744 12,963 7,356 5,607 20,394 2,700 1,835 4,728 1,981 2,747 12,966 7,355 5,611 20s547 2,816 1,951 4,733 1,982 2,751 12,998 7,373 5,625 20,667 2,885 2,022 4,744 1,990 2,754 13,038 7,408 5,630 21,012 3,238 2,374 4,737 1,983 2,754 13,037 7,395 5,642 20,802 3,092 2,230 4,716 1,967 2,749 12,994 7,361 5,633 20,606 2,819 1,954 4,744 1,994 2,750 13,043 7,394 5,649 20,498 2,657 1,790 4,763 2,000 2,763 13,078 7,400 5,678 20,462 2,624 1,761 4,767 1,997 2,770 13,071 7,390 5,681 Sept. Oct. Nov. Retail trade Building materials and garden supplies General merchandise stores Department stores Food stores Automotive dealers and service stations New and used car dealers Apparel and accessory stores Furniture and home furnishings stores Eating and drinking places Miscellaneous retail establishments 22,844 994 2,757 2,414 3,495 22,863 1,004 2,752 2,408 3,496 22,893 1,008 2,752 2,406 3,498 2,372 1,087 1,183 1,092 7,956 2,995 2.377 1,089 1,186 1,093 7,950 3,005 Finance, insurance, and real estate .... Finance Depository institutions Commercial banks Savings institutions Nondepository institutions Mortgage bankers and brokers Security and commodity brokers Holding and other investment offices Insurance Insurance carriers Insurance agents, brokers, and service Real estate 7,589 3,702 2,063 1,476 250 711 353 697 231 2,376 1,610 Dec 1 Includes other industries, not shown separately. P = preliminary. NOTE: Establishment survey estimates are currently projected from March 1999 Apr. May June July Aug.P Sept.P benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1996 forward are subject to revision. 49 ESTABLISHMENT DATA WOMEN EMPLOYEES SEASONALLY ADJUSTED B-4. Women employees on nonfarm payrolls by major industry and manufacturing group, seasonally adjusted (In thousands) 1999 2000 Industry July Total Total private Goods-producing Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July 62,395 62,487 62,591 62,713 62,822 62,936 63,078 63,137 63,315 63,616 63,737 63,772 63,738 51,066 51,127 51,209 51,318 51,396 51,493 51,604 51,644 51,740 51,967 51,919 52,053 52,179 6,684 6,667 6,666 6,661 6,659 6,673 6,678 6,682 6,670 6,685 6,685 6,681 6,713 79 78 77 77 76 75 74 74 74 74 73 74 73 713 716 718 721 723 730 732 737 737 740 746 749 749 5,892 5,873 5,871 5,863 5,860 5,868 5,872 5,871 5,859 5,871 5,866 5,858 5,891 Durable goods Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Industrial machinery and equipment Electronic and other electrical equipment Transportation equipment Instruments and related products Miscellaneous manufacturing 2,970 149 178 101 102 345 471 684 412 2,958 149 176 100 102 343 469 680 411 2,957 149 177 99 102 344 470 680 409 2,956 149 177 100 102 344 472 679 406 2,969 151 178 101 102 345 473 683 411 2,971 150 179 101 102 347 474 686 409 (D 0) 0) (D 174 174 175 173 173 171 2,972 150 180 101 101 348 475 686 410 (1) 170 2,993 150 181 104 102 347 478 695 409 173 2,964 151 179 101 102 346 471 682 408 (1) 172 2,970 151 178 101 102 347 472 687 408 0) 2,964 150 178 101 102 344 474 679 408 (1) 175 2,967 150 178 101 102 344 474 682 409 d) 2,959 149 176 100 102 344 471 680 409 (1) 174 Nondurable goods Food and kindred products Tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and misc. plastics products Leather and leather products 2,922 551 2,915 550 11 257 487 163 700 339 23 345 40 2,912 551 12 255 484 163 700 340 23 344 40 2,906 551 12 253 481 163 699 340 23 344 40 2,904 552 12 254 478 164 698 340 22 344 40 2,904 554 12 254 477 164 698 339 23 344 39 2,905 557 12 253 474 164 700 339 23 344 39 2,902 553 12 254 472 165 700 339 24 344 39 2,895 552 11 254 472 164 700 338 23 343 38 2,901 559 12 253 471 165 700 337 24 342 38 2,895 558 12 252 467 165 702 335 24 342 38 2,886 556 12 251 459 165 705 334 24 343 37 2,898 558 12 251 464 166 706 333 24 346 38 Mining Construction Manufacturing Service-producing 173 13 258 493 163 700 338 23 343 40 0) (D 0) 173 55,711 55,820 55,925 56,052 56,163 56,263 56,400 56,455 56,645 56,931 57,052 57,091 57,025 Transportation and public utilities 2,087 2,099 2,108 2,115 2,123 2,131 2,147 2,147 2,151 2,154 2,150 2,157 2,166 Wholesale trade 2,142 2,146 2,151 2,157 2,160 2,166 2,168 2,172 2,180 2,189 2,200 2,206 2,203 Retail trade Finance, insurance, and real estate 12,024 12,011 12,003 12,006 12,004 12,016 12,033 12,034 12,045 12,159 12,106 12,135 12,176 4,738 4,748 4,750 4,754 4,752 4,752 4,756 4,761 4,761 4,759 4,752 4,746 4,748 Services 23,391 23,456 23,531 23,625 23,698 23,755 23,822 23,848 23,933 24,021 24,026 24,128 24,173 Government 11,329 11,360 11,382 11,395 11,426 11,443 11,474 11,493 11,575 11,649 11,818 11,719 11,559 1,161 1,219 1,257 1,429 1,360 1,227 1,130 1,141 1,128 1,128 1,130 1,128 1,131 2,413 2,419 2,426 2,432 2,439 2,440 2,441 2,443 2,447 2,452 2,447 2,443 2,452 7,889 7,909 7,940 7,942 7,916 7,880 7,835 7,873 7,892 7,788 7,813 7,826 7,856 Federal State Local 1 This series is not published seasonally adjusted because the seasonal component, which is small relative to the trend-cycle and irregular components, cannot be separated with sufficient precision. NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1996 forward are subject to revision. 50 ESTABLISHMENT DATA EMPLOYMENT SEASONALLY ADJUSTED B-5. Production or nonsupervisory workers1 on private nonfarm payrolls by major industry and manufacturing group, seasonally adjusted (In thousands) 2000 1999 Industry Sept. Total private Goods-producing Mining Construction Manufacturing Oct. Nov. Dec Jan. Feb. Mar. Apr. May June July Aug.P Sept.P 89,238 89,491 89,659 89,847 90,185 90,199 90,474 90,799 90,624 90,835 91,024 91,003 91,195 18,070 18,101 18,134 18,156 18,318 18,255 18,297 18,272 18,243 18,247 18,302 18,176 18,171 397 400 398 400 400 400 402 404 403 403 402 398 397 4,973 4,999 5,034 5,055 5,205 5,158 5,212 5,179 5,158 5,161 5,159 5,149 5,182 12,700 12,702 12,702 12,701 12,713 12,697 12,683 12,689 12,682 12,683 12,741 12,629 12,592 Durable goods Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Industrial machinery and equipment Electronic and other electrical equipment Transportation equipment Motor vehicles and equipment Instruments and related products Miscellaneous manufacturing 7,580 680 439 439 545 1,138 1,341 1,043 1,252 785 (2) 274 7,581 682 441 438 546 1,140 1,340 1,042 1,247 783 (2) 275 7,579 681 440 440 545 1,141 1,342 1,041 1,244 781 (2) 275 7,579 681 440 441 546 1,142 1,343 1,039 1,244 782 (2) 276 7,592 681 439 444 546 1,144 1,344 1,042 1,251 789 (2) 276 7,592 681 440 440 547 1,146 1,351 1,043 1,247 787 (2) 275 7,580 680 441 443 549 1,148 1,341 1,041 1,243 783 (2) 274 7,584 679 443 441 548 1,152 1,342 1,048 1,236 782 (2) 275 7,584 679 445 441 548 1,154 1,343 1,047 1,236 780 (2) 271 7,593 676 445 440 547 1,158 1,349 1,051 1,236 783 (2) 270 7,629 675 449 444 547 1,165 1,356 1,063 1,237 781 (2) 270 7,568 669 443 440 545 1,157 1,356 1,064 1,201 751 (2) 270 7,543 665 442 438 543 1,152 1,348 1,061 1,205 754 (2) 268 Nondurable goods Food and kindred products Tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and misc. plastics products Leather and leather products 5,120 1,249 27 468 538 505 824 585 87 780 57 5,121 1,250 27 467 535 503 825 586 87 784 57 5,123 1,252 27 466 534 504 824 589 86 785 56 5,122 1,253 27 465 533 504 824 589 84 787 56 5,121 1,256 26 463 531 504 825 590 82 788 56 5,105 1,248 26 463 529 503 825 588 80 787 56 5,103 1,247 23 464 530 503 826 588 79 787 56 5,105 1,254 25 463 531 502 829 586 77 783 55 5,098 1,253 25 461 525 502 830 585 77 785 55 5,090 1,254 25 460 517 504 830 582 76 787 55 5,112 1,261 25 461 523 502 834 582 76 792 56 5,061 1,243 22 458 512 501 834 578 75 783 55 5,049 1,242 25 456 504 500 834 581 75 778 54 Service-producing 71,168 71,390 71,525 71,691 71,867 71,944 72,177 72,527 72,381 72,588 72,722 72,827 73,024 Transportation and public utilities 5,687 5,694 5,709 5,721 5,747 5,749 5,783 5,801 5,795 5,808 5,842 5,781 5,865 Wholesale trade 5,558 5,569 5,580 5,593 5,592 5,597 5,612 5,623 5,625 5,622 5,619 5,630 5,629 Retail trade Finance, insurance, and real estate Services 20,104 20,124 20,140 20,193 20,229 20,229 20,265 20,441 20,309 20,354 20,413 20,397 20,390 5,553 5,555 5,558 5,560 5,567 5,562 5,555 5,549 5,545 5,552 5,567 5,585 34,266 34,448 34,538 34,624 34,735 34,802 34,955 35,107 35,103 35,259 35,296 35,452 35,555 1 Data relate to production workers in mining and manufacturing; construction workers in construction; and nonsupervisory workers in transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services. 2 This series is not published seasonally adjusted because the seasonal component, which is small relative to the trend-cycle and irregular components, 5,564 cannot be separated with sufficient precision. P = preliminary. NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1996 forward are subject to revision. 51 ESTABLISHMENT DATA DIFFUSION INDEXES SEASONALLY ADJUSTED B-6. Diffusion indexes of employment change, seasonally adjusted (Percent) Time span Jan. Feb. Mar. May Apr. June July Aug. Private nonfarm payrolls, 356 industries Sept. Oct. Nov. Dec. 1 Over 1-month span: 1996 1997 1998 1999 2000 50.4 57.3 63.2 54.1 60.8 64.5 59.7 56.6 58.8 54.1 60.3 62.8 60.5 53.9 60.7 54.8 63.2 58.7 59.6 56 5 62.6 57.7 58.3 52.8 45.9 61.5 57.7 59.7 57.9 56.2 57.3 61.2 53.9 58.8 58.7 61.0 60.1 58.1 53.8 P50.8 57.9 61.5 56.2 57.3 P52.4 62.6 65.3 53.8 60.7 59.3 62.1 59.0 60.8 60.0 61.2 57.4 59.0 Over 3-month span: 1996 1997 1998 1999 2000 61.1 62.6 64.3 58.3 61.0 62.6 64.0 66.6 57.3 62.6 63.6 66.3 63.2 58.4 61.9 63.1 66.7 66.3 54.4 57.4 63.3 63.2 63.6 57.3 56.7 64.9 62.1 58.0 58.8 58.3 64.2 61.5 57.4 58.1 P56.9 61.4 66.2 57.9 60.7 P54.8 65.2 67.4 59.7 59.6 64.3 69.4 58.1 63.5 65.4 69.0 58.6 64.3 63.3 69.1 59.4 63.1 Over 6-month span: 1996 1997 1998 1999 2000 62.5 66.3 69.8 60.0 65.6 64.6 67.0 67.4 58.0 60.8 65.6 66.6 65.2 57.6 61.0 64.6 66.3 61.8 58.6 61.9 64.5 65.6 62.9 54.4 P59.1 64.5 67.1 61.4 59.7 P54.8 67.3 66.3 59.0 60.4 65.7 68.5 58.4 62.1 65.2 69.0 57.4 64.0 67.1 70.4 59.7 62.8 66.0 69.7 59.3 65.2 67.4 70.4 59.1 64.6 Over 12-month span: 1996 1997 1998 1999 2000 64.5 69.0 69.7 60.3 64.9 66.7 67.3 67.3 58.3 P63.5 64.5 68.3 67.3 57.6 P60.1 65.6 69.7 65.9 59.4 68.5 69.5 63.9 59.6 67.3 70.1 62.5 60.5 67.7 70.1 61.5 61.9 66.4 70.4 62.1 61.0 68.0 70.5 61.0 62.6 69.9 70.1 59.8 62.9 68.7 69.4 59.8 62.5 66.9 70.4 58.1 63.2 Manufacturing payrolls, 139 industries1 Over 1 -month span: 1996 1997 1998 1999 2000 44.6 49.6 57.9 45.0 52.2 54.7 52.5 50.7 41.0 47.8 48.2 56.1 53.6 42.8 51.1 42.1 54.0 50.7 46.4 51.1 55.4 51.4 47.1 40.3 45.7 52.2 54.3 50.0 46.4 51.1 47.8 50.7 37.8 54.7 57.6 54.3 53.6 50.0 38.1 P37.4 50.0 56.5 45.7 46.4 P37.4 56.1 61.9 39.9 51.8 50.4 60.4 41.7 51.4 53.2 55.4 43.9 50.4 Over 3-month span: 1996 1997 1998 1999 2000 44.2 50.7 56.8 36.7 47.8 47.8 53.2 56.8 37.1 52.5 44.6 55.8 52.2 37.1 49.3 45.7 56.1 52.2 34.5 48.9 47.1 53.2 48.6 37.8 49.6 51.4 52.5 41.4 43.5 53.6 50.4 52.5 39.2 39.9 P44.6 49.6 55.8 40.3 45.0 P34.2 55.4 59.7 43.2 42.1 53.2 66.5 37.1 50.4 55.0 64.7 36.7 51.1 49.6 64.0 40.6 50.7 Over 6-month span: 1996 1997 1998 1999 2000 41.7 53.2 60.1 35.6 51.4 45.0 53.2 54.3 33.5 47.5 46.8 52.5 50.4 33.5 50.4 46.0 52.9 39.9 37.1 53.6 45.3 51.8 43.5 32.7 P45.3 47.8 53.2 42.1 38.8 P34.9 53.2 54.7 38.8 41.0 50.4 61.2 36.7 45.7 50.7 61.2 36.0 48.2 53.2 64.4 39.9 43.2 51.8 64.7 34.5 48.6 54.7 63.7 32.7 51.1 43.5 54.7 55.0 37.4 47.8 47.5 52.5 51.8 32.4 P44.2 45.3 54.0 51.8 31.7 P36.3 45.3 54.0 46.8 35.3 50.4 55.4 40.6 36.0 49.6 56.8 39.9 37.1 50.4 57.2 37.8 38.8 48.6 57.9 38.1 39.6 51.1 58.3 37.1 42.4 55.0 56.8 36.0 42.4 54.3 56.8 34.2 42.4 50.7 57.2 33.5 46.0 Over 12-month span: 1996 1997 1998 1999 2000 1 Based on seasonally adjusted data for 1-, 3-, and 6-month spans and unadjusted data for the 12-month span. Data are centered within the span. p = preliminary. NOTE: Figures are the percent of industries with employment increasing plus one-half of the industries with unchanged employment, where 50 percent indicates an equal balance between industries with increasing and decreasing employment. Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all unadjusted data (beginning April 1999) and all seasonally adjusted data (beginning January 1996) are subject to revision. 52 ESTABLISHMENT DATA STATE EMPLOYMENT SEASONALLY ADJUSTED B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted (In thousands) 2000 1999 State Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug.P Total1 Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida 1,930.5 278.1 2,172.8 1,141.3 14,033.4 2,148.0 1,676.2 413.4 617.0 6,909.7 1,937.1 278.9 2,179.0 1,142.4 14,063.8 1,935.7 1,937.3 1,940.5 1,941.7 1,946.9 1,948.0 1,949.2 1,956.8 1,944.3 1,947.2 1,950.8 282.7 282.8 282.5 279.9 278.7 280.1 282.9 282.9 280.3 278.7 277.3 2,188.0 2,190.5 2,203.0 2,214.7 2,222.5 2,227.3 2,246.0 2,255.5 2,251.0 2,268.1 2,274.2 1,149.1 1,151.5 1,153.8 1,158.2 1,162.3 1,165.0 1,167.3 1,168.5 1,172.4 1,170.6 1,171.5 14,083.9 14,120.9 14,171.3 14,211.5 14,252.5 14,270.1 14,330.7 14,384.4 14,403.9 14,436.2 14,450.7 2,152.2 1,674.3 413.7 617.1 6,934.1 2,156.4 1,674.7 415.3 618.1 3,931.7 541.2 542.2 5,970.3 2,161.8 1,678.2 2,166.5 1,680.7 417.4 620.8 416.0 619.2 6,965.4 6,990.2 7,016.6 2,171.4 1,685.3 415.8 620.7 7,032.2 2,182.1 1,686.8 419.6 621.2 7,061.0 2,196.5 2,204.7 2,198.6 2,203.1 2,202.7 1,692.1 1,692.0 1,694.5 1,696.4 1,696.2 1,696.5 421.2 423.3 425.2 424.8 422.9 422.8 2,188.9 619.9 7,087.5 620.0 618.7 619.5 615.3 625.2 7,112.9 7,151.1 7,165.3 7,171.0 7,198.5 Georgia Hawaii Idaho Illinois Indiana 5,968.1 2,980.6 2,980.2 3,939.1 3,948.1 3,971.5 3,974.1 3,995.8 4,006.0 4,017.7 3,995.5 4,003.5 4,013.3 539.7 537.2 545.4 544.6 545.0 543.6 541.5 535.9 536.8 537.3 559.7 556.2 555.1 546.2 563.9 561.0 559.1 551.5 548.9 547.9 547.9 5,972.9 5,979.3 5,983.6 5,948.2 5,985.5 6,001.8 6,012.9 6,010.4 6,012.0 6,018.3 6,013.7 2,982.1 2,984.8 2,986.8 2,986.3 2,986.4 2,985.3 2,993.6 3,001.3 3,002.6 3,005.6 3,003.2 Iowa Kansas Kentucky Louisiana Maine 1,465.3 1,325.3 1,799.3 1,898.1 566.2 1,466.8 1,323.7 1,801.0 1,900.9 588.8 1,466.9 1,333.2 1,804.2 1,904.8 590.2 1,469.4 1,337.2 1,809.6 1,907.8 591.8 1,473.4 1,339.9 1,813.9 1,907.4 593.1 1,477.3 1,340.0 1,822.5 1,899.2 593.1 1,481.2 1,339.6 1,825.9 1,905.1 597.7 1,484.6 1,343.5 1,830.8 1,908.7 599.2 1,488.4 1,344.5 1,836.5 1,911.5 601.3 1,492.7 1,345.9 1,832.7 1,915.9 600.8 1,493.1 1,349.5 1,839.3 1,908.2 596.8 1,492.7 1,351.7 1,837.6 1,909.9 599.8 1,494.0 1,351.8 1,841.9 1,911.0 598.1 Maryland Massachusetts Michigan2 Minnesota Mississippi 2,372.6 3,247.8 4,542.6 2,617.0 1,161.5 2,396.3 3,253.4 4,543.7 2,619.6 1,162.0 2,401.2 3,255.6 4,538.5 2,623.9 1,160.3 2,406.3 3,255.5 4,544.7 2,627.0 1,158.4 2,409.8 3,264.3 4,549.5 2,632.7 1,156.9 2,427.5 3,270.6 4,547.6 2,637.6 1,159.4 2,424.6 3,273.9 4,548.0 2,648.2 1,158.9 2,435.0 3,274.7 4,554.7 2,651.2 1,159.6 2,441.3 3,291.7 4,572.1 2,654.8 1,156.5 2,444.8 3,291.8 4,578.7 2,649.6 1,158.1 2,441.4 3,291.7 4,578.2 2,649.4 1,154.7 2,418.6 3,299.8 4,587.8 2,650.3 1,155.0 2,421.1 3,286.3 4,578.4 2,660.4 1,146.5 Missouri Montana Nebraska Nevada New Hampshire 2,725.8 382.9 894.9 994.4 608.3 2,740.4 383.4 894.8 996.0 607.8 2.738.3 384.1 894.1 1,001.4 606.6 2,739.7 385.4 893.8 1,004.2 609.2 2,740.1 386.8 894.9 1,007.0 610.7 2,752.9 385.7 894.8 1,007.9 612.8 2,738.4 386.2 893.5 1,008.7 612.4 2,746.5 389.8 895.2 1,012.5 612.4 2,749.0 389.8 895.1 1,015.2 613.2 2,747.8 391.1 897.0 1,022.2 611.5 2,754.7 2,751.9 2,772.6 390.9 390.0 390.3 890.7 894.0 New Jersey New Mexico New York North Carolina North Dakota 3,870.9 733.0 3,906.2 323.1 3,877.6 734.0 8,475.0 3,881.0 325.1 3,884.6 733.1 8,496.0 3,879.2 325.5 3,889.8 734.5 8,514.9 3,885.7 326.5 3,902.5 3,902.0 3,911.7 3,923.3 3,934.9 3,932.9 3,920.4 3,919.6 739.4 743.0 742.4 737.2 732.0 747.3 743.9 743.2 8,556.6 8,566.2 8,577.9 8,599.6 8,635.7 8,614.6 8,615.0 8,587.4 3,886.4 3,906.2 3,896.6 3,911.4 3,921.4 3,925.4 3,910.9 3,934.9 3,950.7 325.2 324.4 325.2 324.2 325.3 322.6 323.8 324.6 326.1 Ohio Oklahoma Oregon Pennsylvania Rhode Island 5,561.5 1,463.6 1,579.8 5,587.1 466.8 5,560.4 1,464.7 1,576.0 5,581.2 466.8 5,566.6 1,470.1 1,583.0 5,583.0 467.7 5,571.6 1,472.3 1,586.3 5,583.8 467.7 5,580.3 1,475.5 1,588.9 5,580.6 467.6 5,585.6 1,472.2 1,586.1 5,625.2 466.1 5,593.0 1,480.5 1,592.7 5,608.8 468.8 5,590.6 1,484.3 1,588.0 5,622.7 469.0 5,601.6 1,486.1 1,591.5 5,621.2 470.6 5,595.3 1,491.8 1,594.4 5,621.9 472.8 5,581.7 1,488.5 1,593.6 5,607.0 471.7 5,588.7 1,492.2 1,600.3 5,609.0 473.3 5,595.4 1,493.1 1,599.1 5,577.8 470.7 South Carolina South Dakota Tennessee Texas Utah 1,837.7 372.7 2,687.5 9,162.9 1,053.0 1,840.5 373.3 2,682.6 9,191.4 1,057.9 1,843.9 376.3 2,684.4 9,212.6 1,059.4 1,850.0 377.9 2,688.7 9,239.8 1,060.3 1,855.8 378.5 2,691.8 9,264.9 1,061.9 1,854.3 378.3 2,693.5 9,279.1 1,060.4 1,862.2 378.8 2,697.8 9,306.5 1,065.6 1,868.3 380.6 2,719.0 9,349.1 1,068.2 1,868.0 379.9 2,709.6 9,358.1 1,069.0 1,878.3 377.1 2,719.8 9,403.3 1,071.0 1,877.4 376.3 2,722.1 9,407.0 1,071.8 1,872.9 377.3 2,724.4 9,385.9 1,071.9 1,881.5 378.4 2,728.3 9,416.8 1,072.6 Vermont Virginia Washington West Virginia Wisconsin Wyoming 290.9 3,415.2 2,649.8 723.5 2,782.7 290.0 3,417.8 2,647.1 291.0 3,432.4 2,653.7 726.2 2,787.7 233.3 291.4 3,435.9 2,660.1 727.3 2,789.3 234.6 292.2 3,440.9 2,665.6 728.3 2,794.5 235.1 294.5 3,451.6 2,668.3 729.1 2,796.5 236.1 294.6 3,458.4 2,658.7 729.1 2,801.0 295.8 3,463.9 2,679.9 732.4 2,811.7 237.3 295.4 3,471.1 2,679.8 732.2 2,820.8 235.6 296.4 295.0 296.5 296.0 3,474.3 3,473.0 3,465.2 3,471.6 2,695.2 2,690.9 2,693.9 2,705.8 728.9 746.6 730.6 730.8 2,813.6 2,824.8 2,820.2 2,822.7 234.9 233.8 234.9 237.9 3,916.1 538.8 542.6 231.2 722.6 2,779.6 231.4 3,932.8 537.1 1,031.0 610.2 1,038.1 611.5 3,896.5 735.5 8,530.7 See footnotes at end of table. 1,025.0 611.8 53 236.1 ESTABLISHMENT DATA STATE EMPLOYMENT SEASONALLY ADJUSTED B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued (In thousands) 1999 2000 State Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May July Aug.P Construction Alabama Alaska Arizona Arkansas California 104.5 13.5 157.1 50.0 683.7 105.1 13.6 157.5 49.8 690.1 105.4 13.7 157.5 50.5 695.4 105.3 13.9 158.1 50.9 700.2 105.8 14.3 158.8 51.2 705.5 107.1 14.3 157.5 53.0 713.3 107.9 14.6 159.5 53.4 720.1 108.6 14.8 157.6 53.8 716.1 108.5 14.7 159.8 53.6 729.0 108.6 14.2 159.7 53.3 729.1 109.1 14.3 157.5 53.2 735.5 109.9 14.0 156.9 53.8 740.4 108.9 13.8 158.4 54.0 741.4 Colorado Connecticut Delaware District of Columbia Florida 150.3 60.2 24.1 9.1 366.9 150.5 60.8 24.0 9.2 366.8 151.8 61.2 23.9 9.4 368.0 153.2 61.7 23.6 9.4 368.7 154.0 62.2 23.8 9.5 369.6 157.4 63.6 24.8 9.4 373.4 162.9 63.3 24.8 9.3 376.0 163.7 64.1 24.9 9.1 377.6 166.4 63.5 24.7 9.2 378.6 165.8 62.7 24.8 9.1 377.8 166.8 63.0 24.9 8.9 379.1 166.3 61.8 25.0 9.0 380.0 163.5 61.9 24.9 9.1 380.6 Georgia Hawaii3 Idaho Illinois Indiana 199.8 21.5 35.0 252.6 146.5 199.5 21.6 35.0 253.0 147.0 200.9 21.5 36.7 253.5 147.4 200.7 21.6 36.5 253.6 147.6 200.8 21.8 36.8 253.6 147.6 200.2 22.3 36.1 253.0 146.7 200.8 22.8 37.3 255.0 149.5 203.3 23.9 37.7 262.7 152.2 201.0 23.7 37.3 259.2 151.1 200.4 24.0 38.3 254.0 149.7 197.4 23.9 39.0 253.1 149.8 199.6 23.8 38.3 254.7 147.5 200.6 23.8 39.0 254.5 146.5 Iowa Kansas Kentucky Louisiana Maine 64.6 65.8 86.8 129.3 28.3 64.6 66.3 86.6 130.0 28.6 64.8 66.6 87.4 130.8 28.8 65.0 670 88.0 131.6 29.1 65.7 67.5 88.4 131.5 29.4 66.1 68.6 90.6 126.8 29.7 67.8 67.9 88.7 130.2 30.8 68.6 69.6 90.0 129.5 30.7 69.4 69.2 89.1 131.5 31.0 68.8 69.5 88.5 131.0 29.4 69.6 69.6 89.9 130.9 30.4 68.9 69.6 88.6 131.8 30.2 69.5 69.9 87.7 132.1 30.8 Maryland Massachusetts Michigan2 Minnesota Mississippi 151.8 118.8 190.9 112.0 55.2 151.9 120.0 190.9 113.1 55.6 151.6 120.1 190.8 114.5 55.3 151.7 120.7 191.8 115.6 56.0 151.7 122.1 192.8 118.8 56.2 159.3 125.5 194.3 120.2 56.3 157.7 124.6 192.0 119.6 55.8 158.5 126.1 193.1 120.5 55.3 158.3 127.6 194.7 120.2 53.8 158.4 127.6 194.4 115.4 54.0 157.6 126.1 193.3 114.6 53.6 158.2 126.6 194.4 113.7 52.5 157.4 127.1 194.9 113.9 52.6 Missouri Montana Nebraska Nevada New Hampshire 141.3 19.3 43.5 89.3 24.4 141.3 19.1 43.7 89.8 24.5 141.4 19.3 43.7 90.5 24.7 140.8 19.4 44.1 91.3 24.7 140.9 19.9 44.9 91.7 24.8 145.3 19.9 44.9 91.6 26.1 140.5 20.3 43.8 91.6 26.3 142.8 21.0 44.6 92.0 26.3 141.6 21.3 43.9 91.9 26.2 142.2 20.8 43.4 91.7 26.0 141.7 21.3 43.7 91.7 26.0 141.0 20.2 43.4 91.6 26.2 144.2 20.2 43.1 92.1 25.9 New Jersey New Mexico New York North Carolina North Dakota 137.4 43.6 312.0 226.2 17.2 137.7 43.6 312.7 225.8 17.3 139.0 44.0 314.3 225.1 17.4 139.3 44.0 316.8 225.3 18.0 139.8 43.9 319.5 225.1 17.9 142.7 43.9 328.2 227.0 19.0 141.8 44.1 326.9 226.3 17.3 142.8 44.1 326.2 228.5 17.0 143.1 44.1 329.0 229.3 17.1 144.1 44.0 328.8 228.9 15.9 144.6 44.2 329.4 229.9 15.6 145.1 44.0 331.4 231.0 16.0 145.8 44.7 331.9 230.6 Ohio Oklahoma Oregon Pennsylvania Rhode Island 235.4 58.1 82.7 235.7 18.2 235.8 58.4 82.7 236.2 18.2 236.8 58.8 83.5 237.6 18.4 237.2 59.0 83.7 238.9 18.7 238.2 58.8 83.7 238.5 18.6 239.2 58.7 83.2 248.1 17.7 241.1 59.7 85.5 243.8 17.7 240.9 59.7 84.4 244.3 18.0 237.1 60.4 84.6 242.7 18.1 235.2 59.8 84.1 240.4 18.1 235.1 59.5 85.7 237.7 18.5 237.8 60.6 88.4 237.4 18.7 236.8 61.0 87.4 236.8 19.1 South Carolina South Dakota Tennessee Texas Utah 114.8 17.1 124.0 531.5 73.3 115.4 17.2 124.4 533.4 73.5 116.1 17.0 124.7 534.5 74.4 116.7 17.8 125.0 537.0 74.6 117.2 17.4 125.7 538.6 75.0 117.2 17.6 124.3 539.6 76.8 118.1 17.9 126.6 545.7 77.3 118.1 18.5 126.9 549.4 76.7 118.4 17.9 128.9 555.6 76.1 119.2 17.3 128.6 552.9 74.5 119.1 17.3 130.0 555.9 73.8 120.4 16.7 129.1 556.6 73.2 120.7 Vermont Virginia Washington West Virginia Wisconsin Wyoming 14.5 196.1 154.4 32.9 120.9 17.0 14.4 195.9 154.7 32.7 120.5 17.1 14.4 198.5 155.9 33.1 121.1 17.0 14.5 199.8 156.5 33.2 121.8 17.1 14.6 201.3 157.9 33.0 122.5 17.3 15.0 202.7 156.7 33.9 123.1 18.2 15.4 203.4 158.3 33.2 124.0 18.7 15.2 204.5 158.6 33.8 127.0 18.5 15.1 204.6 159.2 32.6 125.5 17.6 15.1 203.2 160.3 33.7 123.2 16.7 15.0 204.8 161.2 33.3 123.2 17.3 14.7 204.2 163.8 32.7 123.2 17.3 See footnotes at end of table. 54 15.7 16.2 129.3 557.9 73.9 14.8 204.1 164.2 32.6 123.1 17.6 ESTABLISHMENT DATA STATE EMPLOYMENT SEASONALLY ADJUSTED B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued (In thousands) 1999 2000 State Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug.P Manufacturing 368.2 14.7 211.6 252.2 1,922.9 367.4 15.3 211.8 252.3 1,926.5 367.1 14.6 212.1 253.4 1,923.7 366.6 12.4 212.5 253.9 1,922.9 365.8 14.7 212.8 253.8 1,924.6 365.6 13.3 212.7 252.8 1,921.3 366.2 11.6 213.5 254.7 1,921.9 366.9 11.9 213.9 254.1 1,920.0 366.6 13.8 214.5 254.2 1,923.6 366.2 13.0 215.1 253.3 1,924.5 365.1 12.9 214.6 253.0 1,925.8 365.3 13.9 216.2 254.0 1,920.7 363.5 14.1 216.6 252.6 1,922.9 Colorado Connecticut Delaware District of Columbia Florida 204.0 268.1 59.5 12.0 486.7 203.5 267.3 59.4 12.0 486.3 203.3 266.5 59.6 12.0 485.9 203.2 267.0 59.6 12.0 485.9 202.6 266.9 59.6 12.0 485.3 203.0 265.4 58.3 12.2 487.0 203.8 266.6 59.7 12.1 487.0 203.6 265.7 59.7 12.0 488.4 204.2 264.3 59.1 12.0 489.7 203.6 264.7 58.4 11.8 489.7 203.3 265.1 58.6 11.9 489.1 204.2 266.7 58.8 12.0 490.3 204.9 266.2 59.1 11.9 490.0 Georgia Hawaii Idaho Illinois Indiana 600.8 16.6 76.8 955.7 691.9 599.8 16.6 76.7 955.8 692.2 599.8 16.6 76.9 955.3 692.3 600.2 16.7 76.8 954.9 692.5 600.4 16.6 76.9 955.2 692.7 605.3 16.5 76.9 950.7 694.1 605.0 16.8 77.2 952.6 692.0 605.5 16.7 77.4 951.7 691.4 607.1 16.7 77.2 951.0 690.8 606.8 16.8 77.2 952.2 691.3 604.1 16.7 76.7 952.9 693.8 604.7 16.8 77.2 955.0 693.0 605.7 16.6 75.9 951.1 691.7 Iowa Kansas Kentucky Louisiana Maine 261.2 211.9 320.6 188.3 85.8 260.4 210.9 321.4 187.9 86.0 259.9 211.3 321.2 187.6 85.9 259.9 211.3 322.2 187.4 86.2 260.3 211.3 322.5 186.8 86.2 259.8 211.7 322.8 186.7 86.2 260.9 211.6 322.8 186.7 86.4 260.5 211.3 322.4 187.1 86.0 261.4 211.5 322.3 187.5 85.9 263.1 211.1 320.3 186.3 85.6 262.9 211.3 320.8 185.7 85.4 262.6 212.1 319.1 185.7 85.6 263.6 212.4 318.6 185.8 85.6 Maryland Massachusetts Michigan2 Minnesota Mississippi 177.3 432.5 981.6 438.9 246.2 177.4 432.5 979.8 439.3 245.3 176.9 432.5 975.6 439.9 244.3 177.3 432.5 972.4 439.5 243.1 177.4 432.4 970.4 439.9 242.4 178.6 430.8 969.0 440.8 243.0 177.3 431.1 969.1 440.7 243.9 177.5 430.7 967.4 439.9 244.0 178.0 431.5 969.1 439.5 244.3 177.8 430.7 971.1 438.6 242.2 177.9 431.7 972.7 438.8 241.5 177.2 429.7 978.2 438.5 240.9 177.0 431.4 971.8 437.3 240.8 Missouri Montana Nebraska Nevada New Hampshire 411.7 24.7 116.9 42.4 106.5 409.4 24.6 116.9 42.4 106.3 408.2 24.7 117.1 42.5 106.3 406.6 24.7 117.0 42.7 106.4 405.6 24.6 116.9 42.7 106.2 407.5 24.5 117.0 43.0 105.7 404.9 24.6 116.9 42.9 105.3 401.0 24.8 117.4 42.9 104.6 401.5 24.8 117.7 43.1 105.1 403.3 24.6 117.8 43.3 105.3 404.4 24.6 117.1 43.5 105.5 405.5 24.5 117.2 44.0 106.0 403.3 24.7 116.7 44.1 105.6 New Jersey New Mexico New York North Carolina North Dakota 464.7 42.4 891.3 798.6 23.9 464.4 42.1 889.7 797.2 23.9 463.3 41.7 889.2 795.7 23.8 463.5 41.6 889.5 794.5 23.9 463.5 41.6 463.8 41.9 792.6 24.0 465.3 41.6 891.4 791.7 24.0 791.9 24.0 463.1 41.9 888.4 790.6 24.1 462.8 41.9 885.8 789.1 24.1 462.6 42.1 883.9 788.0 24.2 462.4 42.3 881.5 782.9 24.7 460.4 43.0 882.1 781.6 24.6 458.8 42.9 881.5 771.8 24.2 Ohio Oklahoma Oregon Pennsylvania Rhode Island 1,089.2 184.2 239.3 929.3 74.0 1,085.1 183.9 239.1 929.3 74.0 1,083.1 183.6 240.2 929.7 74.0 1,083.3 183.7 241.6 929.7 74.1 1,082.0 183.6 241.8 929.1 73.9 1,084.1 183.2 242.3 931.1 74.1 1,083.0 183.7 243.3 928.0 74.1 1,082.9 183.9 242.2 930.3 74.0 1,082.9 184.2 242.8 929.4 73.1 1,078.6 184.8 240.8 929.9 73.2 1,078.8 184.8 240.0 932.2 73.1 1,080.1 185.2 240.8 934.3 74.8 1,079.0 184.2 238.8 931.3 72.6 South Carolina South Dakota Tennessee Texas Utah 342.6 49.8 511.1 1,082.5 133.1 342.8 50.0 510.2 1,081.4 133.0 342.1 50.5 510.5 1,082.1 132.8 342.7 50.5 509.8 1,082.4 132.5 342.9 50.4 508.5 1,081.9 132.3 343.6 50.2 507.9 1,081.6 133.0 343.6 50.0 506.6 1.083.8 133.0 343.7 49.9 507.1 1,084.1 133.0 342.6 49.3 507.0 1,078.5 133.4 342.2 48.6 507.2 1,081.6 133.4 341.6 48.9 506.9 1,083.1 133.6 341.8 48.9 507.4 1,085.0 133.3 341.4 49.2 507.2 1,086.1 132.2 47.9 397.3 362.3 81.3 613.4 11.1 47.7 397.4 359.4 81.4 612.3 11.1 47.8 396.9 357.2 82.0 614.4 11.1 47.8 396.8 356.6 82.1 614.8 11.2 47.8 397.1 356.2 82.2 615.1 11.2 48.3 354.9 83.1 614.3 11.0 48.1 396.6 339.1 82.6 616.3 11.3 48.1 396.1 353.4 82.3 615.4 11.3 47.9 395.6 353.1 82.1 614.6 11.2 47.8 394.9 352.8 81.7 613.7 11.0 48.0 393.6 353.1 81.8 614.7 10.8 47.9 392.3 350.3 82.1 614.0 11.0 47.9 393.4 351.4 81.2 613.7 10.8 Alabama Alaska Arizona Arkansas California Vermont Virginia Washington West Virginia Wisconsin Wyoming See footnotes at end of table. 55 ESTABLISHMENT DATA STATE EMPLOYMENT SEASONALLY ADJUSTED B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued (In thousands) 1999 2000 State Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. I May | June | July | Aug.P Transportation and public utilities 95.0 26.4 95.3 26.3 104.9 69.5 724.0 95.3 26.5 105.6 69.5 725.6 95.7 26.5 105.9 69.8 728.1 96.1 26.5 106.2 69.6 730.4 95.7 26.7 105.6 70.3 735.5 96.5 26.7 107.1 70.4 738.3 96.6 26.7 107.1 70.5 739.4 95.8 26.6 108.6 70.6 741.3 96.1 27.0 108.8 70.7 745.5 96.3 26.9 109.1 71.1 747.1 96.2 26.8 109.8 71.4 746.1 96.0 26.8 110.4 71.4 750.8 349.7 139.2 77.8 17.0 17.1 351.2 139.9 78.4 17.0 17.1 353.3 141.5 78.7 17.3 17.1 355.6 141.2 78.9 17.2 17.0 357.0 141.8 79.7 17.7 18.2 355.7 141.6 79.1 17.8 18.2 356.2 141.9 79.2 17.8 18.1 357.2 141.8 78.5 17.9 18.2 356.9 142.1 77.8 17.8 17.7 358.4 141.9 78.0 17.5 17.8 360.2 142.0 78.4 17.9 17.8 359.9 142.1 78.3 17.0 16.0 360.6 258.0 (4) 27.0 346.0 147.1 259.1 (4) 27.0 346.3 147.3 260.0 (4) 27.1 346.4 147.1 260.8 (4) 27.0 346.2 146.9 262.0 (4) 26.9 345.9 147.1 266.5 (4) 27.0 348.0 145.5 264.4 (4) 27.1 348.1 146.8 264.0 (4) 27.5 348.1 146.9 263.8 (4) 27.6 350.6 145.8 264.9 (4) 27.4 349.2 147.3 265.4 (4) 27 A 349.9 147.0 265.3 (4) 27.5 352.3 145.9 265.4 (4) 27.5 353.0 146.4 Iowa Kansas Kentucky Louisiana Maine 72.3 78.8 105.7 112.5 24.0 72.3 78.8 106.2 113.0 24.0 72.0 78.8 106.3 113.3 24.0 72.0 79.2 106.6 113.4 23.9 72.2 78.8 107.0 113.5 23.9 73.2 78.6 108.9 112.9 23.8 73.1 78.8 108.0 113.6 23.8 73.3 78.9 108.3 114.1 24.0 73.4 78.9 107.3 114.4 24.3 73.5 78.7 107.2 113.9 24.3 73.5 79.4 107.6 114.1 24.3 73.8 80.5 107.6 113.8 24.8 74.2 80.9 108.6 114.1 23.3 Maryland Massachusetts Michigan2 Minnesota Mississippi 112.1 139.8 176.7 130.9 55.9 112.2 139.9 176.9 130.7 56.1 112.3 140.2 176.9 130.7 55.9 112.5 140.2 177.0 130.3 56.1 112.8 140.8 177.4 129.9 56.3 113.5 139.4 177.1 129.4 56.9 114.3 139.3 178.1 129.8 56.5 113.6 139.4 178.4 130.3 57.1 113.7 139.7 178.8 130.9 57.8 114.2 139.8 179.2 131.6 57.6 115.5 140.2 178.2 132.6 56.9 115.4 141.2 178.9 132.2 57.9 108.0 129.4 178.2 133.3 57.7 Missouri Montana Nebraska Nevada New Hampshire 172.4 22.1 57.6 52.0 21.8 172.9 22.1 57.7 52.2 21.6 174.1 22.1 57.6 52.3 21.6 175.0 22.3 57.6 52.3 21.6 174.5 22.3 57.1 52.8 21.6 170.2 22.7 57.7 53.3 21.5 171.1 22.6 58.0 53.5 21.8 171.5 22.7 57.8 53.8 21.8 170.7 22.7 58.5 54.2 21.7 169.9 22.5 58.0 53.9 21.7 168.3 22.7 57.9 54.0 21.0 169.1 22.8 57.9 54.5 20.9 171.0 22.6 58.0 54.7 20.0 New Jersey New Mexico New York North Carolina North Dakota 263.6 35.7 420.6 178.0 18.5 263.3 35.7 420.6 178.7 18.5 263.5 36.0 420.6 178.4 18.4 264.2 36.0 421.5 178.4 18.6 264.9 36.1 421.5 178.0 18.6 265.4 35.6 419.9 178.3 18.7 265.5 35.8 420.9 178.0 18.4 265.3 35.8 421.3 179.1 18.3 265.3 36.2 422.4 179.1 18.5 263.7 36.1 422.1 180.6 18.5 263.5 36.9 421.8 180.9 18.8 262.0 36.3 424.8 181.1 18.8 257.2 36.5 394.2 181.3 18.7 Ohio Oklahoma Oregon Pennsylvania Rhode Island 245.9 81.6 78.3 246.1 81.7 78.7 293.3 16.1 246.2 82.0 78.7 293.6 16.2 246.2 82.1 78.8 294.1 16.2 246.1 82.2 78.5 294.7 16.1 245.7 81.7 78.5 298.7 15.7 246.8 81.7 78.7 297.0 15.8 246.5 82.0 79.2 297.5 15.7 248.2 82.5 79.7 299.6 15.9 247.8 82.3 79.3 298.5 16.4 248.5 81.9 79.0 297.6 16.5 249.3 81.4 79.2 298.1 16.1 250.5 81.8 79.8 286.7 15.1 88.4 16.6 172.6 567.6 60.3 88.6 16.6 173.2 569.9 60.1 89.0 16.7 173.4 571.7 59.9 88.9 16.9 171.6 574.4 59.4 89.2 17.0 170.7 575.2 59.4 89.7 17.0 170.8 577.0 59.8 89.4 T6.8 172.1 578.1 59.9 89.2 16.7 172.6 579.9 59.7 89.8 16.9 172.8 581.9 60.4 90.0 16.8 173.1 584.8 60.7 90.5 59.6 88.5 16.7 172.4 565.1 59.9 586.6 60.9 12.1 178.9 140.0 38.3 131.2 14.3 12.5 179.4 140.4 38.3 131.2 14.2 12.6 179.8 140.5 38.5 131.8 14.2 12.6 180.6 140.8 38.4 131.1 14.3 12.6 181.4 140.5 38.4 130.8 14.1 12.7 184.1 140.6 38.4 130.0 14.2 12.5 185.1 140.1 38.0 130.2 14.1 12.5 185.0 140.6 38.1 131.0 14.2 12.6 184.9 140.6 38.1 132.1 14.4 12.8 184.5 141.3 37.9 133.4 14.4 12.8 185.8 141.1 37.8 134.9 14.2 12.5 184.6 141.6 37.7 133.2 14.3 11.7 177.0 142.3 35.0 134.4 14.3 Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 104.4 69.3 723.0 138.4 77.8 16.8 16.8 293.4 16.2 88.4 16.8 172.0 562.7 See footnotes at end of table. 56 16.6 173.2 ESTABLISHMENT DATA STATE EMPLOYMENT SEASONALLY ADJUSTED B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued (In thousands) 2000 1999 State Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug.P 455.1 57.8 532.2 268.6 3,286.5 Trade Alabama Alaska Arizona Arkansas California 448.5 57.5 515.2 262.4 3,210.6 449.4 57.4 516.2 262.7 3,213.0 450.3 57.3 517.7 265.0 3,210.5 451.4 57.5 518.5 265.4 3,217.7 452.3 57.4 520.4 266.1 3,235.9 454.9 57.9 521.9 267.4 3,228.5 454.5 57.8 521.6 268.8 3,246.7 453.9 57.6 520.9 267.7 3,246.9 454.5 58.1 525.3 268.5 3,264.5 452.9 57.5 526.8 267.9 3,263.5 3,270.8 452.2 57.8 529.6 268.5 3,280.3 Colorado Connecticut Delaware District of Columbia Florida 510.1 361.1 90.5 47.6 1,730.5 511.4 359.0 90.8 47.7 1,734.3 512.0 359.2 91.1 47.6 1,738.2 513.0 360.5 91.5 47.8 1,739.0 515.0 361.3 92.1 48.2 1,741.6 513.7 362.4 91.7 48.5 1,743.0 517.3 362.8 92.4 48.5 1,745.9 519.4 363.5 92.5 48.5 1,751.1 519.9 365.9 93.3 48.3 1,750.0 523.4 363.9 92.5 48.6 1,751.4 521.1 364.2 93.1 48.7 1,760.6 522.4 363.3 92.5 48.9 1,768.5 523.5 363.9 92.0 49.0 1,775.2 Georgia Hawaii Idaho Illinois Indiana 979.3 133.5 136.3 1,349.2 706.4 981.3 133.7 136.5 1,347.5 706.2 985.2 133.6 137.8 1,346.6 706.9 987.9 134.0 137.5 1,347.5 710.3 990.1 133.7 137.7 1,349.6 711.8 997.1 133.3 137.1 1,338.5 706.7 1,001.4 133.6 137.9 1,348.4 705.9 1,008.0 134.3 139.2 1,346.7 701.8 1,012.8 135.5 138.7 1,348.9 705.0 1,013.5 134.8 138.9 1,347.4 703.0 1,014.1 135.4 138.9 1,351.3 704.3 1,016.0 135.9 140.1 1,354.1 704.5 1,019.2 135.8 142.3 1,353.5 705.4 355.3 317.5 427.4 444.8 146.2 354.0 316.7 427.0 444.9 146.5 355.2 319.2 428.0 445.0 147.4 355.9 320.6 429.3 443.5 148.4 356.6 321.9 430.8 442.8 148.8 355.5 321.8 432.6 439.9 149.0 356.8 321.8 434.2 441.6 149.8 357.3 321.5 432.4 440.8 149.8 358.7 323.2 435.5 441.4 150.6 359.2 322.5 434.6 440.1 149.6 360.2 322.9 436.2 441.3 148 4 361.4 3223 435.7 441.7 149.6 360.0 322.5 436.2 442.1 149.7 552.2 744.0 1,065.4 620.8 253.3 553.4 743.6 1,066.0 621.6 253.2 554.2 743.8 1,067.2 622.1 253.0 555.1 742.7 1,070.9 623.4 252.3 554.7 744.7 1,072.5 623.7 252.4 558.4 745.3 1,070.7 623.6 251.6 561.0 743.4 1,071.3 628.7 250.7 561.8 741.2 1,074.5 628.5 249.6 563.9 745.0 1,077.0 631.2 248.4 560.4 741.4 1,072.5 628.4 246.9 558.3 744.1 1,077.2 631.0 247.8 560.8 744.7 1,074.0 632.0 247.9 563.9 745.2 1,079.5 634.6 247.0 645.9 101.6 216.7 204.5 161.4 646.0 101.8 216.5 205.4 161.2 646.4 101.7 215.7 206.2 160.7 646.4 102.1 215.1 206.9 161.1 647.2 102.4 214.8 207.8 161.2 646.5 102.0 213.9 207.1 162.6 646.4 102.1 213.7 207.1 162.4 645.7 102.3 214.6 208.0 162.9 648.9 102.8 214.3 208.9 162.8 649.9 102.8 214.3 210.0 161.0 649.7 103.2 214.3 211.2 161.8 647.4 103.3 212.8 213.4 160.9 650.2 102.7 211.6 215.6 162.2 New Jersey New Mexico New York North Carolina North Dakota 908.5 171.3 1,713.3 877.2 81.4 910.4 171.8 1,713.6 878.0 81.7 912.4 171.5 1,719.1 877.1 81.5 914.5 171.9 1,723.3 878.3 81.4 916.5 172.1 1,726.6 877.3 81.3 918.0 170.9 1,727.2 884.3 79.3 917.8 172.5 1,731.3 879.5 81.4 922.5 172.4 1,733.8 880.7 81.1 926.6 173.6 1,738.1 886.0 81.5 926.5 173.5 1,740.9 879.6 81.2 925.2 174.4 1,743.2 877.5 81.3 924.5 174.1 1,745.8 879.1 80.8 926.2 174.7 1,749.4 882.8 80.8 Ohio Oklahoma Oregon Pennsylvania Rhode Island 1,334.8 337.6 388.0 1,253.8 105.4 1,333.2 338.2 388.7 1,253.8 105.3 1,335.6 340.1 390.3 1,253.7 105.5 1,335.4 340.7 390.0 1,253.1 105.6 1,338.4 341.9 390.6 1,251.7 105.5 1,335.6 340.4 390.2 1,265.4 105.8 1,340.4 342.6 391.7 1,257.6 106.6 1,340.6 343.5 388.8 1,257.7 106.1 1,343.6 343.1 389.7 1,255.3 107.5 1,341.6 342.3 391.8 1,252.5 106.9 1.339.8 342.9 391.3 1,254.4 107.7 1,338.0 344.2 393.4 1,253.9 108.2 1,339.3 344.1 391.2 1,252.9 107.6 South Carolina South Dakota Tennessee Texas Utah 442.9 91.1 627.7 2,188.0 249.0 444.0 91.1 631.1 2,192.7 249.6 444.7 92.0 629.5 2,196.7 250.4 445.6 92.3 631.1 2,204.4 250.4 446.7 92.7 633.0 2,210.7 251.0 447.7 92.1 630.0 2,209.5 251.4 449.5 92.4 635.2 2,218.8 251.8 450.3 92.3 637.1 2,231.9 252.5 448.9 92.6 636.1 2,232.7 252.4 450.3 91.5 634.8 2,241.5 252.2 451.7 92.2 638.4 2,252.6 252.8 451.3 92.6 638.4 2,252.0 252.9 453.2 92.0 638.4 2,258.8 253.2 66.8 750.6 636.3 162.4 629.9 53.1 66.8 749.4 636.3 162.1 628.9 53.0 755.1 640.1 162.7 631.5 53.7 67.2 754.1 642.6 163.0 632.5 54.1 67.4 754.2 644.1 163.5 634.0 54.1 68.1 752.4 647.1 163.2 638.0 54.7 67.9 752.7 648.3 163.8 636.3 54.2 67.6 755.3 649.3 163.7 639.4 54.5 67.9 756.6 650.3 164.6 642.5 54.4 67.8 753.0 651.8 163.9 640.5 53.6 67.9 753.5 652.1 164.4 642.6 53.6 68.4 751.4 652.3 164.1 643.0 53.3 68.3 753.4 650.9 165.2 641.2 53.8 Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan2 Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire Vermont Virginia Washington West Virginia Wisconsin Wyoming See footnotes at end of table. 57 453.3 57.9 529.4 ESTABLISHMENT DATA STATE EMPLOYMENT SEASONALLY ADJUSTED B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued (In thousands) 1999 2000 State Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug.P Finance, insurance, and real estate Alabama Alaska Arizona Arkansas California 91.7 12.8 141.1 46.0 823.3 92.0 12.8 141.6 46.0 823.9 92.3 12.8 142.1 46.6 825.4 92.8 12.8 143.0 46.6 825.5 92.9 12.9 143.4 46.7 826.5 93.2 12.8 144.2 47.1 829.1 93.6 12.8 144.4 47.0 831.1 93.2 12.9 144.4 46.8 829.5 93.6 13.1 145.6 47.0 829.6 93.3 12.9 145.9 46.9 829.1 93.0 12.8 146.1 47.0 829.8 92.8 12.7 146.5 47.1 832.9 92.7 12.8 146.7 47.2 834.8 Colorado Connecticut Delaware District of Columbia Florida 141.9 140.8 49.5 31.2 450.3 142.1 141.1 49.9 31.2 451.8 142.9 141.4 50.1 31.1 453.5 142.4 141.7 50.3 31.2 454.8 142.2 141.7 50.6 31.2 456.7 142.8 141.0 50.3 31.4 458.5 142.5 141.8 50.8 31.6 458.7 142.2 141.5 50.9 31.5 459.0 141.0 141.2 50.9 31.6 458.0 140.1 140.8 50.9 31.9 459.2 140.0 140.9 51.2 31.8 460.9 139.9 141.7 51.3 31.6 462.5 140.7 141.7 51.3 31.8 463.7 Georgia Hawaii Idaho Illinois Indiana 202.5 35.0 23.3 406.2 142.9 203.0 35.0 23.3 406.2 143.3 203.2 34.9 23.6 406.8 143.3 203.7 34.6 23.6 407.6 143.6 203.6 34.5 23.6 407.7 143.6 205.4 34.4 23.4 407.1 143.8 204.9 34.5 23.6 407.8 143.3 205.0 34.6 23.6 408.3 142.2 205.2 34.5 23.4 407.1 142.9 205.3 34.7 23.5 407.3 142.8 205.0 34.5 23.5 406.4 142.2 206.2 34.5 23.5 407.8 142.4 206.6 34.5 23.5 407.2 143.0 84.8 62.9 71.2 85.3 31.0 84.9 62.9 71.4 85.4 31.0 85.2 63.2 71.3 85.4 31.1 85.4 63.2 71.3 85.5 31.2 85.5 63.4 71.3 85.5 31.1 85.3 63.6 71.7 85.1 31.1 85.6 63.8 71.9 84.9 31.1 85.5 64.0 71.7 85.0 31.1 85.9 63.6 72.4 84.9 31.1 85.6 63.8 72.2 84.9 30.6 85.5 63.9 72.1 84.4 30.3 86.1 63.9 71.8 84.7 30.6 86.2 64.1 72.1 84.8 30.8 141.1 226.7 208.2 160.5 42.3 141.3 226.7 208.4 160.5 42.3 141.7 227.4 208.4 160.7 42.5 142.0 228.0 208.6 160.9 42.4 142.5 228.7 208.3 161.2 42.4 141.5 228.5 207.9 161.9 42.7 140.9 229.1 208.1 161.7 42.2 141.0 229.3 206.4 161.7 42.2 140.9 229.6 206.2 160.8 41.9 140.2 228.8 206.6 160.7 41.9 140.4 228.2 205.2 161.2 42.1 140.9 229.8 204.8 160.5 41.9 140.9 230.8 205.3 160.5 41.5 166.0 17.6 61.4 44.3 32.9 166.0 17.5 61.3 44.4 32.8 166.3 17.5 61.1 44.4 32.9 166.4 17.7 61.2 44.7 32.9 166.4 17.9 61.1 44.6 33.1 166.7 17.7 61.1 44.6 32.7 167.3 17.7 61.3 44.6 32.9 166.6 17.8 61.6 44.6 32.8 168.0 17.8 61.5 44.4 32.8 166.6 17.9 61.4 44.7 33.0 167.0 18.0 61.2 44.6 32.8 166.4 18.0 61.2 44.6 32.9 168.0 18.1 61.2 44.7 32.7 New Jersey New Mexico New York North Carolina North Dakota 257.2 33.1 748.7 185.1 16.4 257.7 33.2 747.8 185.5 16.4 258.7 32.9 749.1 185.7 16.4 258.7 33.0 750.2 186.3 16.4 259.4 33.2 749.8 186.4 16.4 259.9 33.2 754.8 187.1 16.4 260.1 33.1 754.3 187.7 16.1 260.8 33.2 753.1 188.1 16.6 260.9 33.2 752.6 188.2 16.4 261.2 32.9 751.8 188.4 16.5 260.8 33.0 751.1 189.0 16.2 261.3 33.1 753.2 190.0 16.4 262.0 32.9 755.1 190.1 16.2 Ohio Oklahoma Oregon Pennsylvania Rhode Island 308.7 73.6 95.4 323.3 29.8 309.3 73.5 95.5 323.2 29.8 310.1 73.7 95.5 323.2 29.8 310.9 73.9 95.3 323.2 29.8 311.6 74.2 95.2 323.3 29.9 311.3 74.4 94.4 324.7 29.7 312.1 74.4 94.6 325.1 29.7 312.4 74.7 94.5 325.4 29.7 312.6 74.9 94.6 325.9 29.6 312.6 74.7 94.7 324.5 29.6 312.5 74.6 95.2 323.1 29.9 312.1 74.6 95.4 322.6 29.9 312.8 75.2 95.7 323.3 30.2 South Carolina South Dakota Tennessee Texas Utah 82.0 24.8 130.3 520.6 57.0 82.3 25.0 130.4 522.6 56.9 82.6 25.0 130.6 525.1 57.3 82.7 25.0 130.7 526.8 57.3 82.9 25.1 130.7 528.5 57.3 82.5 25.4 131.4 528.7 56.9 82.7 25.5 131.0 530.5 56.9 82.5 25.7 130.6 531.3 57.0 83.0 25.6 130.7 531.3 56.8 83.1 25.7 130.9 532.6 56.7 83.3 25.5 130.7 532.5 56.9 83.5 25.8 130.8 536.4 56.6 83.4 26.3 130.7 537.4 57.0 Vermont Virginia Washington West Virginia Wisconsin Wyoming 125 184.0 137.9 29.8 146.9 8.0 125 183.9 138.3 29.6 146.8 8.0 12.6 184.1 138.5 29.6 147.2 8.1 12.6 184.7 139.0 29.6 147.6 8.1 12.6 184.5 139.3 29.6 148.0 8.2 12.5 185.7 138.1 29.5 149.0 8.1 12.4 185.8 138.6 29.6 149.3 8.1 12.6 185.9 138.7 29.6 149.4 8.1 12.5 187.0 138.9 29.5 149.5 8.0 12.7 186.4 139.5 29.6 150.0 8.2 12.4 186.7 139.3 29.6 150.6 8.1 12.4 186.9 139.9 29.7 150.7 8.2 12.4 187.7 139.6 29.8 150.9 8.2 Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan2 Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire . . . . . . . . See footnotes at end of table. 58 ESTABLISHMENT DATA STATE EMPLOYMENT SEASONALLY ADJUSTED B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued (In thousands) 2000 1999 State Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug.P Services Alabama Alaska Arizona Arkansas California 460.1 70.9 460.8 70.9 270.2 4,405.7 271.0 4,417.2 468.4 468.7 466.7 465.2 467.0 463.5 466.2 461.9 463.5 463.2 461.3 72.7 71.7 73.1 72.9 72.1 71.2 72.0 71.4 73.3 71.9 71.0 721.2 719.4 709.7 728.5 729.9 722.8 713.8 692.0 695.0 704.8 700.1 278.4 275.4 278.9 279.5 280.9 278.8 277.0 272.8 274.9 27'4.1 272.3 4,432.0 4,446.6 4,463.0 4,484.8 4,490.7 4,500.6 4,514.3 4,522.1 4,560.0 4,575.1 4,576.1 Colorado Connecticut Delaware District of Columbia Florida 660.2 531.1 118.2 276.7 2,549.3 530.4 117.6 277.2 2,566.3 663.2 529.5 118.1 277.3 2,587.1 669.4 674.2 668.2 674.5 674.8 674.3 667.5 672.6 663.6 665.5 533.2 543.1 533.7 543.1 542.3 537.9 536.9 537.1 529.6 530.4 118.1 121.2 118.0 121.6 120.7 120.1 118.3 119.5 118.0 118.3 279.2 276.3 279.5 278.7 276.8 277.0 278.3 278.9 277.8 278.8 2,605.2 2,622.8 2,636.7 2,652.7 2,663.9 2,678.1 2,691.3 2,710.4 2,712.2 2,730.6 Georgia Hawaii Idaho Illinois Indiana 1,077.8 175.2 134.7 1,814.4 735.1 1,079.3 175.2 135.3 1,816.2 734.2 1,085.1 175.2 135.8 1,821.2 733.8 1,086.7 175.4 136.2 1,825.3 732.8 1,090.5 176.1 136.7 1,829.0 732.8 1,096.7 175.6 136.8 1,814.1 735.1 1,095.6 175.7 139.0 1,835.0 737.1 1,100.4 175.7 140.3 1,847.9 736.6 1,105.7 176.0 141.1 1,847.9 743.0 1,104.9 176.7 142.0 1,844.9 746.0 1,099.6 177.5 142.7 1,841.9 746.9 1,103.4 178.1 143.3 1,843.7 747.5 1,106.2 177.8 143.2 1,841.7 747.1 386.5 343.0 466.0 524.9 175.5 387.9 343.9 466.5 526.5 175.6 387.8 346.1 468.0 528.1 176.1 388.9 347.5 469.7 530.6 176.3 389.8 349.0 471.1 531.6 176.9 393.0 346.6 469.6 532.1 176.2 392.7 346.5 474.1 530.4 178.0 394.1 347.9 473.7 532.2 178.6 394.9 348.5 478.8 532.4 180.6 395.1 350.2 477.2 533.2 180.5 397.9 350.2 479.2 535.5 179.7 394.5 352.5 480.9 534.1 180.8 396.3 354.3 483.2 537.8 180.7 818.8 1,168.7 819.6 1,170.3 1,246.8 756.0 824.1 1,171.9 1,248.1 760.4 272.6 826.9 1,176.2 1,251.4 762.1 271.7 831.4 1,178.0 831.3 1,181.7 1,250.6 1,249.7 833.3 1,185.0 1,250.2 768.8 274.1 768.2 274.1 769.0 274.2 833.6 1,188.2 1,259.3 771.4 272.7 835.5 1,186.1 1,261.6 273.6 822.0 1,171.8 1,246.6 758.2 273.5 773.1 272.9 838.7 1,191.5 1,262.3 772.6 268.6 841.4 1,198.6 1,264.6 773.1 268.5 846.1 1,199.8 1,263.6 779.6 271.9 771.3 113.3 244.9 432.4 178.3 773.0 113.9 244.8 433.8 178.8 774.4 114.4 244.9 435.2 177.8 776.5 114.8 244.9 435.7 179.7 777.4 115.2 246.3 436.4 180.8 783.2 115.8 244.8 438.5 180.4 778.6 116.2 244.3 438.2 180.0 786.1 116.7 243.0 439.9 180.2 785.8 115.9 243.9 441.3 180.7 781.3 116.2 242.6 443.0 179.8 786.9 117.2 242.6 446.5 179.6 786.8 117.5 243.2 449.7 179.8 791.3 117.1 242.8 452.6 181.5 New Jersey New Mexico New York North Carolina North Dakota 1,268.1 211.9 2,936.9 1,001.4 1,269.9 1,272.7 1,273.8 1,275.5 1,278.9 1,283.4 1,287.2 1,291.8 1,292.1 1,297.4 2,952.1 92.0 92.3 1,007.7 92.7 1,274.4 212.9 2,960.8 1,011.7 92.7 1,276.5 212.4 2,943.4 1,004.3 217.3 215.5 216.4 216.1 215.5 214.1 212.1 215.1 213.6 2,972.3 2,985.8 2,990.9 2,997.0 3,006.6 3,019.7 3,024.0 3,027.1 3,044.1 1,014.2 1,022.7 1,018.5 1,022.5 1,026.1 1,025.6 1,032.9 1,036.8 1,039.3 92.4 92.3 92.8 92.5 91.7 91.4 92.3 92.2 91.8 Ohio Oklahoma Oregon Pennsylvania Rhode Island 1,558.6 417.7 428.1 1,822.1 160.0 1,560.9 418.6 429.5 1,813.1 160.2 1,563.9 420.9 432.0 1,813.6 160.4 1,566.2 421.5 433.5 1,811.6 160.2 1,569.4 422.8 435.2 1,811.8 160.3 1,572.7 421.2 435.4 1,817.4 159.4 1,817.7 161.1 1,821.8 161.5 1,819.2 162.7 1,568.9 427.7 433.7 1,814.3 163.0 South Carolina South Dakota Tennessee Texas Utah 451.1 100.5 718.5 2.603.3 294.9 452.1 100.5 719.3 2,611.0 296.3 453.4 101.8 721.2 2,616.8 297.4 455.3 102.2 722.9 2,624.6 298.4 457.4 102.5 724.4 2,634.9 299.1 452.7 103.1 733.0 2,637.8 295.2 457.3 103.4 729.4 2,641.4 297.4 459.1 103.0 727.8 2,654.1 298.8 459.9 103.4 732.2 2,655.0 299.9 466.4 461.7 464.6 461.3 102.2 102.5 102.3 101.8 734.5 734.7 734.6 736.7 2,656.9 2,660.8 2,667.1 2,678.8 301.6 304.2 303.2 304.5 Vermont Virginia Washington West Virginia Wisconsin Wyoming 88.3 1,086.3 739.3 217.7 737.3 53.6 88.4 1,088.9 88.7 88.8 89.3 1,101.1 747.4 220.6 743.0 55.3 90.1 1,102.6 750.3 220.2 740.4 54.8 Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan2 Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire 689.5 1,245.3 757.5 273.2 741.1 217.2 738.1 54.1 212.4 1,096.5 1,098.7 745.8 743.7 218.9 740.6 54.6 219.6 740.8 55.3 See footnotes at end of table. 59 1,575.1 1,572.0 1,573.9 426.3 424.8 425.0 434.9 434.7 435.3 90.4 1,109.2 753.4 221.2 742.4 53.9 90.9 90.5 1,111.6 1,116.0 756.0 756.5 223.0 223.9 747.8 744.3 54.4 54.4 90.3 1,119.2 758.5 222.2 746.3 54.9 1,573.3 428.3 435.8 1,819.8 161.2 90.2 1,119.4 760.7 220.7 747.3 54.8 1,574.9 429.7 432.9 1,822.3 162.0 90.9 1,113.4 764.4 220.6 748.5 58.6 1,577.8 429.8 434.6 1.820.6 162.4 91.4 1,121.6 767.2 222.2 749.7 55.5 ESTABLISHMENT DATA STATE EMPLOYMENT SEASONALLY ADJUSTED B-7. Employees on nonfarm payrolls by State and major industry, seasonally adjusted — Continued (In thousands) 1999 2000 State Aug. Sept. 352.7 73.4 344.3 188.0 2,240.9 357.3 73.7 347.3 188.0 2,245.9 Colorado Connecticut Delaware District of Columbia Florida 330.3 236.3 54.7 223.5 970.1 Georgia Hawaii Idaho Illinois Indiana Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug.P Government Alabama Alaska Arizona Arkansas California 354.4 73.8 350.9 363.6 75.1 351.1 74.8 191.9 2,294.1 368.0 194.5 2,346.9 361.5 194.2 353.0 74.8 370.6 193.8 2,311.9 2,317.7 356.5 74.9 369.9 195.0 2,315.3 332.9 238.7 56 0 221.9 978.3 337.9 240.4 57.0 222.3 984.2 337.6 240.8 57.3 221.7 995.3 342.3 245.8 58.3 222.5 1,017.0 337.4 242.0 59.1 223.5 998.7 341.2 240.4 58.0 219.6 991.2 340.8 240.6 57.3 228.6 991.4 592.4 112.9 106.3 826.1 408.3 594.1 112.8 106.9 827.8 405.7 601.7 113.6 106.9 825.4 408.2 602.7 113.9 108.3 837.4 408.9 614.3 115.5 109.2 844.7 415.1 602.0 115.1 109.4 845.8 412.5 600.5 114.3 108.6 840.1 418.7 601.8 115.5 110.0 842.0 417.0 241.1 241.6 301.8 369.9 96.7 242.3 242.6 304.7 369.5 97.0 242.1 242.7 305.0 371.3 97.7 243.2 243.8 311.2 373.5 98.9 242.5 243.1 310.0 373.1 97.7 245.3 243.6 311.6 379.8 100.7 241.3 245.7 312.7 3700 98.2 243.2 244.3 313.0 371.4 98.1 242.0 241.2 314.7 367.8 97.1 442.2 418.1 669.1 389.5 230.6 442.4 4180 670.2 389.7 230.2 443.3 421.7 671.3 385.6 229.3 440.6 423.3 673.0 392.2 230.2 447.8 421.6 678.1 394.0 231.6 451.4 428.6 680.1 393.4 231.9 456.9 436.0 686.7 394.6 236.8 451.6 428.4 683.0 391.4 238.1 423.3 427.8 685.9 393.2 239.2 426.3 421.2 678.1 393.2 228.7 422.2 79.4 152.7 118.8 82.1 422.7 79.4 152.6 119.2 82.3 422.8 79.5 152.6 119.6 82.6 428.1 78.9 154.2 118.4 83.5 424.3 78.5 154.2 119.3 83.4 427.5 80.3 154.9 119.9 83.4 427.3 80.3 154.1 120.1 83.5 429.4 82.1 158.2 124.4 84.3 431.5 80.0 155.9 122.5 84.6 430.5 80.4 153.8 122.2 83.0 439.4 80.8 155.3 123.3 83.1 572.1 572.9 575.2 181.3 1,444.8 582.5 183.4 1,453.5 617.9 72.9 587.5 184.9 573.0 183.0 1,446.1 611.1 72.1 575.4 182.1 1,447.5 610.7 72.4 184.4 1,442.7 635.7 70.2 573.8 181.6 1,446.7 608.8 72.0 579.1 181.0 1,447.2 605.5 71.8 573.2 181.6 1,448.4 607.2 72.0 576.1 181.9 1,442.8 607.5 71.5 570.2 184.1 1,426.6 650.8 71.2 775.8 283.3 266.1 708.7 62.9 777.0 283.0 260.0 711.6 63.0 777.9 283.6 261.0 711.1 63.2 779.4 283.9 261.5 712.8 62.9 781.6 284.6 262.1 711.5 63.1 784.3 285.2 260.3 719.7 63.5 781.8 285.9 261.8 720.0 63.7 782.5 288.0 262.4 725.9 63.8 790.7 287.0 263.3 729.4 63.5 798.0 292.4 268.2 742.0 65.4 781.2 288.9 264.8 723.1 64.6 784.1 288.8 268.4 721.6 63.3 786.8 289.4 314.0 71.4 399.6 1.530.3 178.2 313.5 71.7 390.4 316.4 72.4 391.7 1,551.7 179.2 317.7 72.6 391.8 1,555.7 179.5 319.8 71.9 391.1 1,563.0 179.9 319.9 71.5 394.0 319.5 73.0 406.8 1,560.3 182.8 324.1 74.7 1,541.5 180.8 314.6 72.3 391.0 1,546.1 179.0 48.2 612.1 476.3 140.3 400.4 58.6 47.1 612.9 473.6 140.5 399.0 58.4 47.4 611.6 474.5 140.4 398.4 58.5 47.4 611.4 475.4 140.3 398.0 58.6 47.4 611.6 476.8 140.0 398.4 58.9 47.4 615.2 477.2 140.0 398.8 59.4 351.2 189.1 2,262.3 353.7 73.7 356.8 189.4 2,280.1 332.0 238.2 55.6 223.8 975.0 333.2 238.5 55.7 224.0 977.6 330.3 239.1 54.8 221.7 971.8 590.5 114.1 107.4 832.5 404.5 591.3 113.7 107.7 833.6 404.3 592.8 112.9 107.6 831.8 404.4 240.7 237.9 300.5 367.8 97.0 240.0 241.6 300.8 368.8 96.8 240.3 241.9 301.4 369.9 96.6 417.9 416.0 667.9 389.0 230.4 439.1 419.0 668.8 391.1 230.7 441.1 418.4 666.7 390.5 230.6 Missouri Montana Nebraska Nevada New Hampshire 412.0 79.2 152.7 117.8 82.5 426.5 79.4 152.7 116.4 82.1 New Jersey New Mexico New York North Carolina North Dakota 569.3 181.6 188.6 2,247.9 331.3 237.1 54.9 222.6 971.3 330.5 237.7 55.4 223.5 973.3 589.8 115.9 107.0 833.4 403.9 601.5 117.9 105.9 834.6 403.2 Iowa Kansas Kentucky Louisiana Maine 238.6 239.1 300.2 357.7 95.3 Maryland Massachusetts Michigan2 Minnesota Mississippi Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 354.8 74.1 1,567.4 182.0 47.3 615.7 477.6 139.6 399.6 60.2 1,460.6 619.7 72.6 183.2 1,484.0 1,459.1 630.3 613.8 72.7 71.2 631.3 71.3 323.0 73.1 323.9 73.1 398.3 1,582.2 182.5 330.7 73.5 406.9 328.8 414.5 1,576.8 182.6 1,613.0 184.8 1,594.7 183.2 48.7 616.0 480.0 141.0 402.5 60.5 47.8 616.9 477.8 140.4 406.2 59.6 49.3 623.3 487.7 156.4 404.0 60.4 48.2 619.4 480.0 141.5 49.1 622.6 478.3 142.5 405.2 59.2 59.3 72.6 402.4 707.0 63.4 410.6 1,567.0 183.0 48.9 624.7 487.0 141.7 407.3 58.6 4 This series is not published seasonally adjusted because the seasonal component, which is small relative to the trend-cycle and irregular components, cannot be separated with sufficient precision. P = preliminary. NOTE: All data have been adjusted to March 1999 benchmarks (with the exception of data for New Jersey) and incorporate updated seasonal adjustment factors. 1 Includes mining, not shown separately. Nonfarm payroll employment levels for Michigan are understated and will be corrected with the release of final estimates for August 2000 on Oct. 20. The error occurred in the latest benchmark revision and affects July 1998 forward. The upward adjustment to the March 1999 benchmark reference month is expected to be in the range of 35,000 to 45,000. Seasonal adjustment factors will be recalculated based on the revised data and applied to employment levels from 1995 forward. 3 Mining is combined with construction. 2 355.8 74.4 359.6 354.5 74.4 362.8 191.9 2,304.7 352.4 73.5 358.1 189.5 2,275.1 354.0 74.0 347.4 188.9 2,256.6 60 ESTABLISHMENT DATA HOURS SEASONALLY ADJUSTED B-8. Average weekly hours of production or nonsupervisory workers1 on private nonfarm payrolls by major industry and manufacturing group, seasonally adjusted 1999 2000 Industry Sept. Oct. Nov. Dec Jan. Feb. Mar. Apr. May June July Aug.P Sept.P 34.5 34.5 34.5 34.5 34.5 34.6 34.5 34.6 34.4 34.5 34.4 34.3 34.4 41.2 41.1 41.3 41.0 41.1 41.3 41.2 41.5 40.9 40.9 41.1 40.8 40.5 Mining 44.3 44.1 44.2 44.3 44.7 44.7 44.7 45.3 44.1 44.7 45.3 44.6 44.7 Construction 39.3 39.1 40.1 38.9 39.3 39.7 39.8 39.6 39.2 38.7 39.3 39.2 38.5 Manufacturing Overtime hours 41.8 4.7 41.8 4.7 41.7 4.7 41.7 4.7 41.7 4.6 41.8 4.7 41.7 4.6 42.2 4.9 41.4 4.5 41.6 4.6 41.7 4.6 41.3 4.5 41.2 4.4 Durable goods Overtime hours Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Blast furnaces and basic steel products Fabricated metal products Industrial machinery and equipment Electronic and other electrical equipment Transportation equipment Motor vehicles and equipment Instruments and related products Miscellaneous manfacturing 42.4 4.9 41.1 40.4 43.5 44.5 45.0 42.3 42.4 41.6 44.0 45.4 41.5 39.9 42.3 4.8 41.1 40.1 43.5 44.3 45.2 42.2 42.3 41.6 43.8 45.0 41.5 39.8 42.2 4.8 41.1 39.9 43.8 44.3 45.3 42.1 42.2 41.4 43.6 44.7 41.5 39.7 42.2 4.8 41.0 40.2 43.5 44.4 45.4 42.1 42.2 41.5 43.4 44.5 41.5 39.7 42.3 4.8 41.1 40.2 43.6 44.5 45.3 42.4 42.3 41.6 43.8 45.0 41.3 39.5 42.3 4.9 41.0 40.3 43.5 44.5 45.4 42.4 42.3 41.6 44.0 45.0 41.2 39.5 42.3 4.8 40.9 40.2 43.4 44.4 45.2 42.5 42.3 41.8 43.7 44.6 41.2 39.4 42.8 5.1 41.2 40.6 43.6 44.9 45.0 43.0 42.9 42.2 44.3 45.5 41.6 39.8 42.0 4.7 40.7 40.3 43.0 43.8 44.7 42.3 42.2 41.3 43.2 44.2 41.2 39.3 42.2 4.8 40.8 39.9 42.9 43.9 45.0 42.4 42.5 41.4 44.0 45.3 41.3 39.4 42.4 4.7 41.1 39.7 43.7 44.3 45.2 42.6 42.6 41.9 43.9 44.5 41.6 39.7 41.9 4.6 40.3 39.4 43.2 43.6 44.2 42.0 42.1 41.1 43.4 44.6 41.1 39.5 41.7 4.5 40.2 39.2 43.1 43.6 44.1 41.9 41.8 41.1 42.7 43.3 41.3 39.4 Nondurable goods Overtime hours Food and kindred products Tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and misc. plastics products Leather and leather products 41.0 4.4 41.7 40.2 40.9 37.4 43.4 38.3 43.2 (2) 41.8 37.5 41.0 4.5 41.9 40.8 41.2 37.5 43.5 38.3 43.0 (2) 41.5 37.6 41.0 4.5 41.8 41.9 41.3 37.4 43.4 38.3 43.0 (2) 41.5 37.7 40.9 4.5 41.7 42.3 41.2 37.5 43.3 38.3 43.0 (2) 41.5 37.4 40.9 4.4 41.6 40.8 41.1 37.6 43.3 38.3 42.9 (2) 41.6 37.8 41.0 4.5 41.6 40.6 41.7 37.7 43.5 38.3 42.7 (2) 41.6 38.1 40.9 4.3 41.6 40.0 41.6 37.8 43.2 38.2 42.6 (2) 41.5 38.0 41.3 4.6 41.9 40.8 41.9 38.0 43.6 38.5 42.9 (2) 42.1 38.9 40.6 4.3 41.2 39.6 41.1 37.1 42.8 38.0 42.7 (2) 41.3 38.2 40.7 4.3 41.5 39.4 41.1 37.0 42.8 38.2 42.9 (2) 41.4 37.8 40.7 4.3 41.2 40.5 41.2 37.3 42.4 38.1 43.4 (2) 41.4 37.1 40.6 4.2 41.5 39.9 40.8 36.9 42.4 37.9 43.0 (2) 41.2 37.2 40.5 4.2 41.4 40.6 40.7 36.7 42.4 37.9 42.9 (2) 41.1 37.3 32.8 32.9 32.8 32.9 32.9 32.8 32.8 32.8 32.7 32.9 32.7 32.7 32.8 Transportation and public utilities 38.6 38.4 38.3 38.4 38.4 38.3 38.3 38.7 38.4 38.4 38.8 38.4 38.7 Wholesale trade 38.4 38.6 38.4 38.5 38.6 38.5 38.6 38.6 38.6 38.6 38.5 38.3 38.5 Retail trade 28.8 29.0 29.0 29.1 29.1 29.1 29.0 28.8 28.8 29.0 28.8 28.8 28.8 36.2 36.3 36.2 36.1 36.1 36.3 36.2 36.5 36.3 36.2 36.4 32.7 32.7 32.7 32.7 32.7 32.7 32.6 32.7 32.5 32.6 32.7 Total private Goods-producing Service-producing Finance, insurance, and real estate Services 36.4 32.6 36.4 32.7 1 Data relate to production workers in mining and manufacturing; construction workers in construction; and nonsupervisory workers in transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services. 2 This series is not published seasonally adjusted because the seasonal components, which are small relative to the trend-cycle and irregular components, cannot be separated with sufficient precision. p = preliminary. NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1996 forward are subject to revision. 61 ESTABLISHMENT DATA HOURS SEASONALLY ADJUSTED B-9. Indexes of aggregate weekly hours of production or nonsupervisory workers1 on private nonfarm payrolls by major industry and manufacturing group, seasonally adjusted (1982=100) 1999 2000 Industry Sept. Oct. Nov. Dec Jan. Feb. Mar. Apr. May June July Aug.P Sept.P 148.6 149.3 149.6 149.8 150.6 150.6 151.0 151.7 150.5 151.3 151.4 151.0 151.4 116.0 116.0 116.8 116.0 117.5 117.5 117.7 118.3 116.3 116.3 117.4 115.7 114.8 50.2 50.3 50.2 50.5 51.0 51.0 51.3 52.2 50.7 51.4 51.9 50.6 50.6 Construction 177.5 177.5 183.3 178.6 185.8 186.0 188.4 186.3 183.6 181.4 184.1 183.3 181.2 Manufacturing 107.1 107.0 106.8 106.7 107.0 107.0 106.7 107.9 106.0 106.4 107.2 105.3 104.6 Durable goods Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Blast furnaces and basic steel products Fabricated metal products Industrial machinery and equipment Electronic and other electrical equipment Transportation equipment Motor vehicles and equipment Instruments and related products Miscellaneous manfacturing 112.1 147.8 139.4 115.4 111.8 111.5 113.1 147.9 111.2 146.1 110.5 145.8 139.3 141.4 116.2 116.2 140.9 114.6 139.5 114.1 137.2 114.9 109.6 141.3 136.2 114.1 92.3 92.4 72.1 71.8 90.1 70.2 89.7 69.7 120.7 120.7 104.8 119.9 103.9 107.4 126.8 105.4 107.5 127.0 121.2 104.6 91.0 70.6 121.2 91.0 70.7 120.5 93.3 71.5 123.0 106.2 146.7 140.1 117.3 91.9 142.6 138.0 116.5 112.1 147.6 139.4 115.7 111.8 147.1 139.0 112.1 148.0 138.7 117.0 92.1 72.0 113.0 148.0 111.5 147.6 139.0 116.0 91.9 111.8 148.2 171.4 75.0 170.9 74.3 102.6 102.2 107.8 125.7 168.6 74.0 101.6 109.6 126.7 171.7 74.7 103.0 Nondurable goods Food and kindred products Tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and misc. plastics products Leather and leather products 100.2 117.4 53.7 79.5 59.1 106.9 100.1 100.0 117.0 52.3 80.2 58.5 99.7 100.7 116.9 45.6 80.2 58.8 106.7 122.0 105.9 121.8 118.4 50.5 80.6 59.2 106.7 Total private Goods-producing Mining Service-producing Transportation and public utilities Wholesale trade Retail trade Finance, insurance, and real estate Services 91.9 71.5 115.2 91.7 72.2 119.6 104.9 107.5 127.5 119.5 104.5 107.4 126.4 172.0 76.1 91.5 72.0 119.3 104.4 106.8 125.5 170.1 76.3 103.0 168.5 76.3 102.8 100.3 100.2 117.7 56.6 147.7 106.7 122.0 103.0 71.3 147.4 100.3 117.9 56.0 80.0 58.6 106.6 121.8 103.5 70.1 147.6 32.8 32.9 163.2 102.9 118.0 54.6 79.9 58.9 72.1 119.4 104.5 106.8 125.0 168.0 75.8 103.1 79.6 58.7 79.1 58.6 106.4 106.4 121.8 103.5 122.0 121.9 105.7 107.8 123.6 125.9 166.4 74.0 100.2 171.2 74.3 100.1 98.9 116.3 99.0 117.3 49.0 48.8 78.7 57.2 78.6 121.7 102.1 64.0 146.8 56.1 105.2 122.4 102.0 62.9 147.6 104.8 123.3 106.5 110.4 125.7 167.7 75.2 100.9 99.4 117.1 50.2 78.9 57.3 103.8 105.3 108.3 120.6 161.7 74.3 100.4 98.1 116.2 43.5 77.6 55.5 108.0 119.1 157.6 74.3 99.4 97.7 115.9 50.3 77.1 54.3 103.2 64.6 148.5 103.6 122.0 101.6 63.0 146.1 101.8 62.2 144.8 103.4 102.6 66.3 102.4 65.2 147.9 103.4 67.5 148.5 148.3 147.9 123.2 102.7 66.6 149.3 32.4 32.2 32.5 32.8 32.7 32.9 32.3 31.9 31.9 31.4 30.9 164.3 164.4 165.0 165.4 165.5 165.9 166.6 165.9 167.0 166.6 166.8 167.8 134.3 133.8 133.8 134.4 135.0 134.7 135.5 137.3 136.1 136.4 138.7 135.8 138.9 130.8 131.8 131.3 132.0 132.3 132.1 132.8 133.0 133.1 133.0 132.6 132.2 132.8 142.5 143.6 143.7 144.6 144.9 144.9 144.6 144.9 143.9 145.3 144.7 144.6 144.5 139.6 139.6 138.9 139.4 139.1 138.8 138.7 139.3 138.7 139.8 139.2 139.2 140.4 202.9 204.6 205.2 205.7 206.3 206.7 207.7 208.6 207.9 209.5 208.4 210.0 211.2 121.8 103.3 71.3 69.1 1 Data relate to production workers in mining and manufacturing; construction workers in construction; and nonsupervisory workers in transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services. 117.7 52.6 104.5 107.1 71.4 122.7 122.0 P = preliminary. NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1996 forward are subject to revision. 62 ESTABLISHMENT DATA ALL-EMPLOYEE HOURS SEASONALLY ADJUSTED B-10. Hours of wage and salary workers on nonfarm payrolls by major industry, seasonally adjusted Millions of hours (annual rate)1 Percent change Industry Total Private sector Mining Construction Manufacturing Durable goods Nondurable goods Transportation and public utilities .. Wholesale trade Retail trade Finance, insurance, and real estate Services Government Sept. 1999 to Sept. 2000* July 2000 to Aug. 2000r 240,512 1.8 -1.4 201,121 201,581 1.7 -.3 1,270 13,631 40,213 24,496 15,717 14,162 14,114 34,738 14,307 69,280 1,248 13,606 39,699 24,102 15,597 13,874 14,065 34,726 14,327 69,576 1,246 13,423 39,459 23,936 15,523 14,179 14,144 34,728 14,457 69,945 2.3 2.0 -1.8 -.2 -1.3 -1.6 -.8 -2.0 -.4 .0 41,239 38,473 38,931 July 2000r Aug. 2000/ Sept. 2000* 242,955 239,593 201,716 1 Total hours paid for 1 week in the month, seasonally adjusted, multiplied by 52. p = preliminary. r = revised. NOTE: Data refer to hours of all employees—production workers, nonsupervisory workers, and salaried workers—and are based -1.7 -1.6 -1.9 2.5 1.7 1.5 .6 3.7 2.7 Aug. 2000 To Sept. 2000* 0.4 .1 .4 -.2 -1.3 -.6 -.7 -.5 2.2 .6 .0 .9 .5 -6.7 1.2 largely on establishment data. See BLS Handbook of Methods, BLS Bulletin 2490, chapter 10, "Productivity Measures: Business Sector and Major Subsectors". SOURCE: Office of Productivity and Technology (202—691-5606). Historical data for this series also are available on the Internet at the following address: ftp://ftp.bls.Qov/pub/special.requests/opt/tableb10.txt 63 ESTABLISHMENT DATA EARNINGS SEASONALLY ADJUSTED B-11. Average hourly and weekly earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major industry, seasonally adjusted 1999 2000 Industry Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug.? Sept.P Average hourly earnings Total private (in current dollars) Goods-producing Mining Construction Manufacturing Excluding overtime2 Service-producing Transportation and public utilities Wholesale trade Retail trade Finance, insurance, and real estate Services Total private (in constant (1982) dollars)3 Goods-producing Service-producing $13.35 $13.38 $13.41 $13.44 $13.49 $13.54 $13.58 $13.64 $13.66 $13.70 $13.75 $13.80 $13.83 14.96 14.99 15.03 15.05 15.13 15.20 15.25 15.30 15.29 15.34 15.40 15.46 15.47 17.14 17.26 14.04 13.29 17.09 17.33 14.06 13.31 17.00 17.37 14.07 13.33 17.04 17.44 14.10 13.36 17.09 17.50 14.15 13.41 17.14 17.60 14.21 13.45 17 27 17.67 14.23 13.47 17.26 17.78 14.28 13.49 17.25 17.75 14.27 13.53 17.24 17.77 14.36 13.60 17.23 17.90 14.39 13.64 17.05 17.94 14.44 13.69 17.19 17.98 14.44 13.74 12.83 12.86 12.89 12.93 12.97 13.01 13.05 13.11 13.15 13.19 13.23 13.28 13.33 15.79 14.70 9.16 14.71 13.46 15.79 14.75 9.18 14.73 13.51 15.84 14.76 9.21 14.76 13.53 15.94 14.83 9.25 14.78 13.57 15.92 14.90 9.26 14.86 13.61 16.00 14.89 9.32 14.87 13.66 16.04 14.90 9.35 14.95 13.69 16.12 15.03 9.39 14.98 13.74 16.22 15.02 9.39 15.01 13.79 16.28 15.16 9.43 15.05 13.82 16.17 15.22 9.45 15.03 13.89 16.26 15.23 9.50 15.12 13.94 16.27 15.37 9.54 15.18 13.97 7.86 8.81 7.56 7.87 8.81 7.56 7.87 8.82 7.56 7.87 8.81 7.57 7.88 8.84 7.58 7.87 8.84 7.56 7.83 8.79 7.53 7.87 8.82 7.56 7.87 8.81 7.58 7.85 8.79 7.56 7.86 8.81 7.56 7.90 8.85 7.61 (4) (4) (4) Average weekly earnings Total private (in current dollars) Goods-producing Mining Construction 460.58 461.61 462.65 463.68 465.41 468.48 468.51 471.94 469.90 472.65 473.00 473.34 475.75 616.35 616.09 620.74 617.05 621.84 627.76 628.30 634.95 625.36 627.41 632.94 630.77 626.54 759.30 753.67 751.40 754.87 763.92 766.16 771.97 781.88 760.73 770.63 780.52 760.43 768.39 678.32 677.60 696.54 678.42 687.75 698.72 703.27 704.09 695.80 687.70 703.47 703.25 692.23 586.87 587.71 586.72 587.97 590.06 593.98 593.39 602.62 590.78 597.38 600.06 596.37 594.93 Manufacturing 420.82 423.09 422.79 425.40 426.71 426.73 428.04 430.01 430.01 433.95 432.62 434.26 437.22 Service-producing Transportation and public utilities Wholesale trade Retail trade Finance, insurance, and real estate Services Total private (in constant (1982) dollars)3 Goods-producing Service-producing 609.49 564.48 263.81 535.44 438.80 606.34 569.35 266.22 536.17 441.78 606.67 566.78 267.09 534.31 442.43 612.10 570.96 269.18 536.51 443.74 612.80 573.27 271.21 536.81 446.68 614.33 575.14 271.15 539.70 447.66 623.84 580.16 270.43 543.77 449.30 622.85 579.77 270.43 543.36 449.55 625.15 585.18 273.47 549.33 451.91 627.40 585.97 272.16 545.59 451.43 624.38 583.31 273.60 547.34 454.44 271.25 271.38 271.51 271.48 272.01 272.37 270.19 272.17 270.84 270.86 270.44 271.10 362.99 362.19 364.28 361.27 363.44 364.98 362.34 366.18 360.44 359.55 361.89 361.27 247.83 248.73 248.12 249.06 249.39 248.10 246.85 247.99 247.84 248.68 247.35 248.72 1 Data relate to production workers in mining and manufacturing; construction workers in construction; and nonsupervisory workers in transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services. 2 Derived by assuming that overtime hours are paid at the rate of time and one-half. 3 The Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W) is used to deflate these series. The data in these series have been 611.33 575.14 269.47 537.93 445.05 629.65 591.75 274.75 552.55 456.82 (4) (4) (4) revised from January 2000 through August 2000 due to corrections in the CPI-W. 4 Not available. p = preliminary. NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all seasonally adjusted data from January 1996 forward are subject to revision. 64 ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry (In thousands) Industry 1987 SIC Code Production workers1 All employees Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P Total 128,851 129,614 131,525 131,349 132,086 Total private 109,845 109,589 112,008 112,050 111,823 Mining Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P 90,001 89,739 91,926 91,951 91,696 405 535 535 547 546 545 403 405 408 406 Metal mining Iron ores Copper ores 10 101 102 44.4 7.0 14.7 44.7 7.6 14.7 44.1 8.7 13.9 44.2 8.6 13.8 43.8 33.7 5.7 11.2 33.9 6.3 11.1 33.6 7.3 10.6 33.4 7.2 10.4 Coal mining Bituminous coal and lignite mining 12 122 84.0 78.5 83.2 77.7 79.4 74.1 80.2 74.9 80.7 69.5 64.7 68.8 64.0 65.6 61.1 66.3 61.8 Oil and gas extraction Crude petroleum and natural gas Oil and gas field services 13 131 138 289.7 133.6 152.8 291.4 132.4 155.7 308.7 130.1 175.7 308.1 129.7 175.5 308.8 210.1 81.5 125.8 213.3 81.8 128.8 221.4 72.0 147.3 220.0 71.2 146.8 Nonmetallic minerals, except fuels Crushed and broken stone Sand and gravel Chemical and fertilizer minerals 14 142 144 147 116.7 46.7 38.8 11.2 115.9 46.4 38.7 11.1 114.5 46.2 38.3 11.1 113.2 46.2 37.6 10.6 111.8 89.4 36.9 88.7 36.6 87.5 35.9 86.3 35.9 6,764 6,704 7,036 7,050 6,976 5,281 5,228 5,497 5,513 Construction 5,444 General building contractors Residential building construction Operative builders Nonresidential building construction 15 152 153 154 1,514.6 804.0 30.7 679.9 1,491.6 791.8 30.8 669.0 1,571.8 838.6 31.5 701.7 1,574.2 837.4 31.7 705.1 1,542.6 1,063.8 550.1 12.0 501.7 1,042.3 537.9 12.2 492.2 1,111.6 580.4 13.4 517.8 1,112.7 576.0 14.4 522.3 Heavy construction, except building Highway and street construction Heavy construction, except highway 16 161 162 941.8 326.2 615.6 945.1 322.7 622.4 955.5 325.2 630.3 960.9 328.5 632.4 960.0 795.6 274.4 521.2 798.9 271.4 527.5 807.6 271.6 536.0 813.7 274.6 539.1 Special trade contractors Plumbing, heating, and air conditioning Painting and paper hanging Electrical work Masonry, stonework, and plastering Carpentry and floor work Roofing, siding, and sheet metal work 17 171 172 173 174 175 176 4,307.1 910.3 250.8 826.3 564.5 312.1 278.7 4,266.9 901.4 244.1 824.1 554.6 310.3 273.8 4,508.9 959.4 260.8 872.5 587.4 326.4 281.5 4,514.6 956.6 260.9 882.4 584.7 328.3 281.1 4,473.6 3,421.8 673.9 210.5 654.8 492.4 236.2 222.8 3,386.9 667.7 204.3 653.6 482.7 235.1 218.8 3,578.1 714.5 219.8 690.9 512.6 244.8 223.4 3,586.5 712.7 220.3 701.5 509.2 247.8 222.4 18,591 18,571 18,500 18,517 18,443 12,769 12,775 12,661 12,690 12,662 11,110 11,103 11,112 11,100 11,060 7,587 7,592 7,566 7,564 7,557 Manufacturing Durable goods Lumber and wood products Logging Sawmills and planing mills Sawmills and planing mills, general Hardwood dimension and flooring mills ... Miilwork, plywood, and structural members Miilwork Wood kitchen cabinets Hardwood veneer and plywood Softwood veneer and plywood Wood containers Wood buildings and mobile homes Mobile homes Miscellaneous wood products 24 241 242 2421 2426 243 2431 2434 2435 2436 244 245 2451 249 841.9 82.0 182.3 142.4 37.9 330.1 128.5 97.5 29.4 27.4 56.8 105.2 79.2 85.5 837.6 81.8 181.5 141.3 3U.2 328.7 127.7 97.4 29.4 27.5 56.5 104.1 78.3 85.0 833.9 79.7 182.7 141.8 38.8 332.8 128.2 101.0 29.4 27.4 56.1 97.9 71.1 84.7 829.9 78.3 182.4 140.9 39.5 331.6 127.8 100.6 30.1 26.9 56.2 96.8 70.1 84.6 821.8 691.0 65.5 158.6 123.2 33.8 265.5 100.7 79.1 25.0 24.1 48.5 83.0 65.5 69.9 687.0 65.4 157.9 122.3 34.0 263.7 99.6 78.9 25.0 24.1 48.2 82.3 65.2 69.5 683.7 65.1 158.3 122.3 34.4 266.1 99.7 81.6 24.9 24.1 48.0 77.2 59.2 69.0 680.0 63.9 158.2 121.7 34.9 265.0 99.4 81.5 25.3 23.7 47.9 76.0 57.9 69.0 671.6 Furniture and fixtures Household furniture Wood household furniture Upholstered household furniture Metal household furniture Mattresses and bedsprings 25 251 2511 2512 2514 2515 551.0 288.7 130.6 94.8 16.7 35.8 550.9 289.8 130.2 95.4 17.7 35.8 554.1 292.1 131.0 96.7 18.5 35.2 557.4 294.3 132.2 96.9 18.5 35.9 556.3 438.6 245.1 113.6 81.0 13.6 27.7 438.7 246.5 113.4 81.5 14.6 27.8 439.9 248.3 113.8 82.6 15.1 27.8 442.8 250.6 115.1 82.8 15.2 28.4 441.7 See footnotes at end of table. 65 ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry—Continued (In thousands) Industry Durable goods—Continued Furniture and fixtures—Continued Office furniture Public building and related furniture Partitions and fixtures Miscellaneous furniture and fixtures 1987 SIC Code Production workers1 All employees Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 252 253 254 259 75.1 53.4 91.8 42.0 74.9 53.5 91.2 41.5 78.3 52.1 90.2 41.4 78.5 53.8 89.6 41.2 Stone, clay, and glass products Flat glass Glass and glassware, pressed or blown Glass containers Pressed and blown glass, nee Products of purchased glass Cement, hydraulic Structural clay products Pottery and related products Concrete, gypsum, and plaster products Concrete block and brick Concrete products, nee Ready-mixed concrete Misc. nonmetallic mineral products Abrasive products Asbestos products Mineral wool 32 321 322 3221 3229 323 324 325 326 327 3271 3272 3273 329 3291 3292 3296 572.9 15.9 63.6 23.3 40.3 64.8 17.8 32.6 38.0 249.1 20.9 83.2 125.7 74.5 19.1 1.7 23.4 571.0 15.9 63.1 23.4 39.7 65.4 17.3 33.1 38.0 247.7 20.7 83.3 124.3 74.1 18.8 1.7 23.5 579.1 15.8 63.6 21.9 41.7 64.7 18.1 33.4 37.1 255.1 21.8 85.6 128.9 74.8 18.8 1.6 23.5 576.3 15.5 63.7 21.6 42.1 64.1 17.8 33.3 37.0 253.9 21.3 85.8 128.5 74.2 18.6 1.5 23.4 Primary metal industries Blast furnaces and basic steel products Blast furnaces and steel mills Steel pipe and tubes Iron and steel foundries Gray and ductile iron foundries Malleable iron foundries Steel foundries, nee Primary nonferrous metals Primary aluminum Nonferrous rolling and drawing Copper rolling and drawing Aluminum sheet, plate, and foil Nonferrous wire drawing and insulating Nonferrous foundries (castings) Aluminum foundries 33 331 3312 3317 332 3321 3322 3325 333 3334 335 3351 3353 3357 336 3365 697.4 228.1 153.6 29.9 126.5 79.9 3.6 26.9 37.4 22.4 168.4 21.7 19.8 72.3 93.8 26.5 697.5 226.8 152.7 29.9 126.5 79.8 3.6 27.0 37.0 22.2 168.8 21.8 19.7 72.5 94.5 26.6 693.1 226.7 152.1 30.5 122.5 77.9 3.4 24.8 36.8 22.3 167.8 22.2 19.1 72.2 95.4 26.8 Fabricated metal products Metal cans and shipping containers Metal cans Cutlery, handtools, and hardware Hand and edge tools, and blades and handsaws ... Hardware, nee Plumbing and heating, except electric Plumbing fixture fittings and trim Heating equipment, except electric Fabricated structural metal products Fabricated structural metal Metal doors, sash, and trim Fabricated plate work (boiler shops) Sheet metal work Architectural metal work Screw machine products, bolts, etc Screw machine products Bolts, nuts, rivets, and washers Metal forgings and stampings Iron and steel forgings Automotive stampings Metal stampings, nee 34 341 3411 342 3423,5 3429 343 3432 3433 344 3441 3442 3443 3444 3446 345 3451 3452 346 3462 3465 3469 1,512.8 36.4 29.3 121.0 43.3 65.5 59.8 23.9 20.4 486.1 85.4 86.4 102.6 127.3 36.1 105.4 52.5 52.9 250.7 30.3 118.1 89.0 1,518.2 36.3 29.2 121.2 43.3 66.0 59.9 23.8 20.6 488.2 85.6 86.5 103.0 128.5 36.2 105.8 52.8 53.0 252.3 30.5 119.1 89.3 1,527.3 36.4 29.4 118.0 43.7 63.3 60.3 25.1 19.2 505.4 90.2 88.5 103.2 135.4 38.4 105.2 52.2 53.0 243.8 29.5 112.8 88.5 See footnotes at end of table. 66 Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P 53.8 41.6 69.3 28.8 53.5 41.8 68.5 28.4 55.8 39.5 67.8 28.5 55.8 41.0 67.0 28.4 572.3 _ _ _ _ _ _ _ - 448.0 12.7 52.1 20.1 32.0 49.8 13.1 25.2 29.5 195.6 13.9 64.9 101.5 57.4 14.9 1.3 - 446.5 12.8 51.6 20.3 31.3 50.2 12.6 25.8 29.8 194.0 13.7 64.9 100.0 57.3 14.8 1.4 - 451.0 12.6 50.9 19.1 31.8 49.3 13.1 26.0 29.3 200.1 14.7 66.3 104.2 57.4 14.4 1.4 - 448.7 12.4 50.9 19.0 31.9 48.6 13.0 25.9 29.3 199.0 14.3 66.3 104.0 57.0 14.3 1.2 - 446.0 _ _ _ _ _ _ - 693.7 226.6 152.3 30.5 122.8 79.2 3.3 24.1 36.9 22.4 167.4 22.1 18.6 72.7 95.9 27.0 692.9 225.3 _ _ _ - 543.9 177.1 120.2 23.1 103.1 66.0 2.7 21.8 28.8 18.0 127.0 17.4 14.5 54.0 76.3 21.8 544.8 176.5 119.8 23.1 103.3 66.1 2.7 22.0 28.6 18.0 127.1 17.4 14.6 53.9 77.0 22.0 541.9 176.7 119.5 23.6 100.0 64.4 2.6 20.1 28.5 18.1 127.7 17.6 13.9 55.0 77.4 21.9 542.9 177.1 119.8 23.8 100.2 65.4 2.6 19.4 28.5 18.0 127.5 17.5 13.3 55.8 78.0 22.0 543.4 176.0 _ _ _ _ - 1,535.8 35.9 29.0 117.4 43.4 63.2 60.6 24.9 19.6 505.3 90.3 87.7 102.8 136.4 38.5 105.9 52.8 53.1 249.4 29.4 117.1 89.8 1,531.8 _ _ _ _ _ _ _ _ - 1,134.1 30.9 25.3 93.1 33.7 50.2 42.6 17.2 13.9 353.7 61.7 63.9 73.5 97.3 26.0 81.8 42.5 39.3 197.0 22.6 96.3 68.0 1,139.0 30.7 25.2 93.6 33.8 50.8 42.6 17.1 14.1 355.6 62.0 63.9 73.9 98.8 25.8 82.2 42.6 39.6 198.8 22.7 97.5 68.4 1,146.2 30.9 25.4 90.8 34.2 48.4 42.4 17.9 12.7 370.4 65.3 65.2 74.9 104.9 27.6 82.0 42.1 39.9 190.2 21.9 90.6 67.4 1,153.9 30.5 25.0 90.2 33.6 48.4 42.4 17.7 12.9 369.8 65.4 64.5 74.5 105.4 27.6 82.5 42.6 39.9 195.8 22.0 94.8 68.7 1,153.1 _ - _ - _ _ - _ _ - - _ _ _ - _ _ _ _ _ _ _ _ _ - ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry—Continued (In thousands) Industry SIC Code Durable goods—Continued Fabricated metal products—Continued Metal services, nee Plating and polishing Metal coating and allied services Ordnance and accessories, nee Ammunition, except for small arms, nee Miscellaneous fabricated metal products Valves and pipe fittings, nee Misc. fabricated wire products 347 3471 3479 348 3483 349 3494 3496 Industrial machinery and equipment Engines and turbines .; Turbines and turbine generator sets Internal combustion engines, nee Farm and garden machinery Farm machinery and equipment Construction and related machinery Construction machinery Mining machinery Oil and gas field machinery Conveyors and conveying equipment Industrial trucks and tractors Metalworking machinery Machine tools, metal cutting types Machine tools, metal forming types Special dies, tools, jigs, and fixtures Machine tool accessories Power driven handtools Special industry machinery Textile machinery Printing trades machinery Food products machinery General industrial machinery Pumps and pumping equipment Ball and roller bearings Air and gas compressors Blowers and fans Speed changers, drives, and gears Power transmission equipment, nee Computer and office equipment Electronic computers Computer terminals, calculators, and office machines, nee Refrigeration and service machinery Refrigeration and heating equipment Misc. industrial and commercial machinery Carburetors, pistons, rings, valves Scales, balances, and industrial machinery, nee .... 35 351 3511 3519 352 3523 353 3531 3532 3533 3535 3537 354 3541 3542 3544 3545 3546 355 3552 3555 3556 356 3561 3562 3563 3564 3566 3568 357 3571 Electronic and other electrical equipment Electric distribution equipment Transformers, except electronic Switchgear and switchboard apparatus Electrical industrial apparatus Motors and generators Relays and industrial controls Household appliances Household refrigerators and freezers Household laundry equipment Electric housewares and fans 36 361 3612 3613 362 3621 3625 363 3632 3633 3634 3575,8,9 358 3585 359 3592 3596,9 Aug. 1999 141.1 84.9 56.2 41.6 19.8 270.7 22.1 56.0 Sept. 1999 141.8 85.8 56.0 41.3 19.6 271.4 22.2 56.2 July 2000 145.3 89.6 55.7 37.3 17.5 275.6 22.1 56.5 Aug. 2000P 146.0 90.3 55.7 38.1 17.5 277.2 22.0 56.4 Sept. 2000P _ - 2,126.0 2,127.5 2,132.0 2,123.5 2,118.1 86.4 86.3 86.8 86.8 25.8 25.3 25.4 25.9 61.4 60.6 61.0 60.9 97.4 93.4 96.7 99.1 77.5 72.5 75.0 78.3 _ 242.3 241.2 241.7 240.3 94.9 94.5 94.0 95.7 13.8 14.6 14.3 13.9 41.1 41.1 40.7 _ 41.2 39.2 39.7 39.7 39.9 32.5 32.9 32.6 32.7 _ 331.4 334.7 _ 334.3 332.5 40.1 41.2 40.9 40.1 _ 17.6 17.5 17.5 17.5 _ 159.9 159.5 159.8 160.5 51.6 52.2 52.3 51.9 20.0 19.5 19.8 19.5 170.3 167.5 167.1 169.5 13.4 13.2 11.9 12.0 21.7 _ 21.9 21.8 21.8 24.5 24.9 24.9 24.6 249.3 252.5 252.4 250.5 29.7 _ 29.6 28.8 29.0 40.0 40.2 40.5 40.2 25.4 25.0 25.1 25.6 35.7 35.9 35.8 35.9 15.2 16.1 16.2 15.5 _ 18.9 20.0 20.0 18.8 363.6 371.2 369.7 361.4 363.1 194.2 194.4 196.2 194.9 58.7 213.1 147.4 365.0 24.0 294.6 59.2 215.0 148.8 364.3 24.1 294.3 57.9 218.6 153.3 370.2 24.2 300.0 57.3 214.7 149.8 370.1 24.0 299.9 1,667.8 82.9 36.9 46.0 149.6 71.9 55.7 115.8 27.4 15.4 23.5 1,671.3 83.5 37.2 46.3 150.2 72.3 55.9 119.4 28.5 17.5 23.9 1,713.8 84.7 37.1 47.6 148.1 70.1 56.4 118.5 28.2 16.7 21.6 1,717.6 84.7 37.3 47.4 147.2 69.3 56.3 118.5 27.8 17.1 22.1 See footnotes at end of table. Production workers1 All employees 1987 67 _ _ _ 1,713.8 _ _ - Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 112.9 68.8 44.1 24.5 9.6 197.6 16.3 42.4 113.3 69.3 44.0 24.1 9.4 198.1 16.2 42.6 116.4 72.8 43.6 21.1 8.0 202.0 16.6 43.1 117.3 73.5 43.8 22.0 8.0 203.4 16.6 43.1 1,330.5 57.2 13.2 44.0 62.9 49.8 153.9 63.9 8.4 25.3 20.6 22.6 237.1 25.2 10.6 121.3 37.1 14.9 90.7 8.6 12.4 15.0 160.6 17.0 30.9 13.8 25.5 11.7 13.8 147.5 78.7 1,336.0 57.9 13.4 44.5 66.6 52.5 153.9 63.7 8.1 25.5 20.8 22.6 237.9 25.1 10.6 122.0 37.2 14.9 89.8 8.4 12.1 14.8 160.8 16.9 31.3 13.9 25.3 11.8 14.0 146.0 78.1 1,346.4 58.1 14.0 44.1 68.8 54.6 154.5 64.5 7.8 24.9 21.9 22.4 236.1 24.6 10.5 122.7 37.1 14.4 88.6 7.6 11.6 14.8 157.1 16.2 30.9 13.6 25.4 11.0 13.0 154.7 91.5 21.1 150.5 109.8 270.1 19.2 222.0 21.2 153.3 112.3 269.8 19.1 222.0 21.3 155.4 115.3 273.1 18.5 224.9 21.1 151.2 111.1 272.8 18.2 224.9 1,040.4 56.3 26.1 30.2 102.3 55.4 31.6 95.4 24.2 13.7 17.6 1,043.6 56.8 26.3 30.5 102.7 55.7 31.8 99.4 25.5 15.7 18.0 1,055.2 57.0 26.0 31.0 98.7 53.3 30.9 97.0 24.1 15.2 15.0 1,059.9 57.2 26.1 31.1 97.9 52.5 30.8 97.2 23.5 15.6 15.5 Sept. 2000P _ - 1,342.8 1,343.0 57.6 13.9 43.7 67.0 53.9 _ 154.5 63.7 7.8 25.7 _ 21.8 22.6 _ 235.1 24.5 _ 10.6 _ 122.0 36.8 _ _ 14.4 89.6 _ 7.8 _ 11.7 _ 14.8 _ 156.5 _ 16.1 30.6 _ 13.7 25.2 _ _ 10.9 _ 13.1 _ 158.5 95.0 _ _ _ _ _ 1,062.5 _ _ _ _ _ _ _ _ - ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry—Continued (In thousands) Industry Durable goods—Continued Electronic and other electrical equipment—Continued Electric lighting and wiring equipment Electric lamps Current-carrying wiring devices Noncurrent-carrying wiring devices Residential lighting fixtures Household audio and video equipment Household audio and video equipment Communications equipment Telephone and telegraph apparatus Electronic components and accessories Electron tubes Semiconductors and related devices Electronic components, nee Misc. electrical equipment and supplies Storage batteries Engine electrical equipment 1987 SIC Code Production workers1 All employees Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 364 3641 3643 3644 3645 365 3651 366 3661 367 3671 3674 3679 369 3691 3694 182.2 19.1 58.3 18.2 21.7 80.4 53.6 267.3 120.9 638.2 20.0 271.7 151.1 151.4 25.1 70.9 183.4 19.8 58.2 18.4 21.6 80.9 53.6 267.4 121.0 635.3 20.1 268.0 151.5 151.2 25.4 70.4 184.1 19.5 60.4 18.9 20.4 81.3 52.7 272.7 123.7 672.4 19.1 286.9 157.1 152.0 24.4 70.7 184.4 19.5 60.6 18.8 20.8 81.5 52.9 273.0 124.4 675.5 18.8 287.6 157.7 152.8 25.6 70.5 Transportation equipment Motor vehicles and equipment Motor vehicles and car bodies Truck and bus bodies Motor vehicle parts and accessories Truck trailers Aircraft and parts Aircraft Aircraft engines and engine parts Aircraft parts and equipment, nee Ship and boat building and repairing Ship building and repairing Boat building and repairing Railroad equipment Guided missiles, space vehicles, and parts Guided missiles and space vehicles Miscellaneous transportation equipment Travel trailers and campers 37 371 3711 3713 3714 3715 372 3721 3724 3728 373 3731 3732 374 376 3761 379 3792 1,888.4 1,030.3 361.4 48.4 554.1 44.3 486.4 249.1 99.1 138.2 167.2 101.8 65.4 36.0 88.1 61.0 60.3 24.3 1,879.3 1,027.8 357.5 48.0 555.7 44.3 482.2 247.1 98.9 136.2 166.7 100.6 66.1 35.7 87.8 60.8 59.0 24.2 1,838.7 1,006.3 344.2 49.8 550.5 42.0 458.3 230.9 95.3 132.1 168.4 96.7 71.7 34.6 87.8 62.0 61.4 24.8 Instruments and related products Search and navigation equipment Measuring and controlling devices Environmental controls Process control instruments Instruments to measure electricity Medical instruments and supplies Surgical and medical instruments Surgical appliances and supplies Ophthalmic goods Photographic equipment and supplies Watches, clocks, watchcases, and parts 38 381 382 3822 3823 3825 384 3841 3842 385 386 387 855.5 167.1 293.4 39.8 67.9 69.6 283.4 110.1 97.2 33.3 72.7 5.6 851.3 165.6 292.3 39.5 67.0 69.5 282.4 109.6 97.8 33.2 72.1 5.7 Miscellaneous manufacturing industries Jewelry, silverware, and plated ware Jewelry, precious metal Musical instruments Toys and sporting goods Dolls, games, toys, and children's vehicles Sporting and athletic goods, nee Pens, pencils, office, and art supplies Costume jewelry and notions Costume jewelry Miscellaneous manufactures Signs and advertising specialties 39 391 3911 393 394 3942,4 3949 395 396 3961 399 3993 396.4 49.2 38.5 16.5 104.6 33.2 71.4 30.4 20.1 10.6 175.6 77.3 398.7 50.1 39.5 16.8 105.6 33.7 71.9 30.1 20.2 10.7 175.9 77.2 See footnotes at end of table. 68 Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P _ _ _ _ 678.4 _ _ _ - 130.3 14.8 40.3 13.6 16.0 52.0 31.6 120.5 56.2 375.6 15.2 115.2 101.7 108.0 19.6 53.7 131.5 15.4 40.3 13.7 15.8 52.8 31.9 118.9 54.8 373.2 15.2 111.8 102.3 108.3 20.0 53.7 130.9 14.3 42.3 14.0 14.2 52.8 31.3 118.1 50.4 390.7 14.5 112.9 108.4 110.0 20.2 53.7 131.2 14.3 42.1 14.1 14.7 52.6 31.7 119.6 50.5 392.6 14.4 112.5 108.2 111.6 21.4 54.0 1,819.4 997.7 333.1 49.1 555.4 41.4 455.0 230.2 93.3 131.5 165.6 94.9 70.7 30.2 87.4 61.7 61.7 25.2 1,809.9 991.7 _ _ _ 456.5 _ _ _ _ _ _ - 1,255.4 786.4 258.0 38.5 436.5 35.2 238.3 102.6 48.7 87.0 123.3 69.2 54.1 25.1 22.9 14.1 45.5 20.6 1,250.9 785.1 254.2 38.1 439.3 34.9 236.2 101.9 48.6 85.7 123.1 68.3 54.8 25.0 22.6 13.9 44.8 20.5 1,214.5 758.6 238.9 39.6 431.2 32.5 219.5 87.7 50.0 81.8 126.5 66.2 60.3 24.9 22.3 12.7 47.2 21.0 1,200.1 751.8 230.2 38.8 436.1 32.0 217.7 87.6 48.6 81.5 124.6 65.4 59.2 21.2 22.0 12.3 47.3 21.1 1,204.1 754.1 _ _ _ _ _ - 849.3 161.4 292.6 36.4 67.5 70.4 286.6 110.6 98.0 32.6 70.6 5.5 850.0 160.2 294.0 36.4 67.6 72.2 287.0 110.2 98.2 32.7 70.6 5.5 846.1 _ _ _ - 431.1 42.9 148.9 26.4 34.7 27.3 168.0 70.8 60.4 24.4 42.3 4.6 428.2 42.1 148.3 26.0 34.4 27.0 167.2 70.4 60.1 23.8 42.1 4.7 420.9 40.7 144.8 23.0 34.0 27.0 168.8 69.9 60.1 21.8 40.3 4.5 422.3 40.5 146.8 22.9 34.1 29.5 168.7 69.5 60.1 21.6 40.2 4.5 420.5 _ _ _ - 390.9 48.0 37.8 17.0 107.0 31.8 75.2 28.7 17.4 8.3 172.8 77.9 396.2 50.2 39.6 17.1 107.2 32.5 74.7 28.9 18.7 9.5 174.1 78.1 396.6 _ _ _ _ _ _ _ _ — 274.1 33.3 25.5 13.2 69.8 21.6 48.2 20.8 14.8 7.7 122.2 50.1 277.1 34.4 26.5 13.4 71.2 22.1 49.1 20.6 15.0 7.9 122.5 49.6 266.2 32.0 24.7 13.4 70.7 18.3 52.4 19.9 12.5 5.6 117.7 49.0 270.3 34.2 26.6 13.3 70.5 19.0 51.5 19.9 13.7 6.8 118.7 48.9 270.8 _ _ _ _ _ _ _ _ - _ _ _ _ _ _ _ — ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry—Continued (In thousands) Industry Nondurable goods Food and kindred products Meat products Meat packing plants Sausages and other prepared meats Poultry slaughtering and processing Dairy products Cheese, natural and processed Fluid milk Preserved fruits and vegetables Canned specialties Canned fruits and vegetables Frozen fruits and vegetables Grain mill products Flour and other grain mill products Prepared feeds, nee Bakery products Bread, cake, and related products Cookies, crackers, and frozen bakery products, except bread Sugar and confectionery products Raw cane sugar Cane sugar refining Beet sugar Candy and other confectionery products Fats and oils Beverages Malt beverages Bottled and canned soft drinks Misc. food and kindred products 1987 SIC Code 20 201 2011 2013 2015 202 2022 2026 203 2032 2033 2037 204 2041 2048 205 2051 2052,3 206 2061 2062 2063 2064 207 208 2082 2086 209 Production workers' All employees Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P 7,481 1,726.9 505.9 149.7 104.4 251.8 145.8 42.5 61.2 269.9 15.9 107.8 51.9 124.3 18.4 40.0 200.3 140.9 7,468 1,727.7 505.9 149.9 104.0 252.0 143.2 41.6 60.6 271.6 16.2 109.1 52.6 124.0 18.2 40.1 201.9 142.0 7,388 1,703.8 503.9 148.5 105.7 249.7 147.7 42.6 62.0 246.1 14.6 87.0 54.8 124.0 18.3 40.3 200.8 142.1 7,417 1,728.6 505.1 149.8 105.8 249.5 147.0 42.7 61.8 268.7 15.1 103.4 57.6 123.8 18.2 40.1 200.6 142.0 7,383 1,718.0 _ _ _ _ _ _ _ - 5,182 1,299.2 430.4 125.3 83.2 221.9 101.1 35.1 36.6 233.0 13.0 96.1 45.7 88.1 11.2 26.0 138.5 87.8 5,183 1,302.5 430.9 125.8 82.8 222.3 99.4 34.4 36.5 234.3 13.2 97.1 46.4 87.9 11.1 26.0 139.8 88.3 5,095 1,277.5 428.2 125.4 84.1 218.7 104.1 35.7 38.0 207.9 11.5 73.6 48.1 87.3 10.8 26.4 141.2 91.2 5,126 1,302.0 429.0 126.3 84.3 218.4 103.5 35.8 37.9 230.1 12.1 89.8 50.7 87.3 10.7 26.3 141.2 91.3 5,105 1,293.8 _ _ _ _ _ _ _ _ - 59.4 89.7 4.4 3.9 7.5 47.0 28.1 185.4 32.1 100.0 177.5 59.9 92.9 4.8 3.5 9.4 47.9 28.5 185.6 31.9 98.7 174.1 58.7 84.1 3.2 3.7 7.2 44.1 28.9 186.6 31.9 100.3 181.7 58.6 87.0 3.9 3.7 7.3 46.2 29.1 187.1 31.8 100.4 180.2 50.7 69.4 3.4 2.2 6.3 37.5 19.2 90.7 19.8 42.1 128.8 51.5 72.9 3.7 2.2 8.2 38.4 19.9 92.0 19.7 41.4 125.4 50.0 66.0 2.2 2.8 6.1 36.0 19.7 91.9 19.3 43.0 131.2 49.9 68.9 2.8 2.8 6.3 38.0 20.1 92.2 19.1 43.1 129.7 36.2 25.6 39.1 25.4 33.7 23.7 34.1 23.5 36.8 - 25.6 17.3 28.1 17.0 22.1 14.7 22.3 14.4 25.4 - _ _ _ _ _ _ - _ _ _ _ _ _ _ - Tobacco products Cigarettes 21 211 Textile mill products Broadwoven fabric mills, cotton Broadwoven fabric mills, synthetics Broadwoven fabric mills, wool Narrow fabric mills Knitting mills Women's hosiery, except socks Hosiery, nee Knit outerwear mills Knit underwear mills Weft knit fabric mills Textile finishing, except wool Finishing plants, cotton Finishing plants, synthetics Carpets and rugs Yarn and thread mills Yarn spinning mills Throwing and winding mills Miscellaneous textile goods 22 221 222 223 224 225 2251 2252 2253 2254 2257 226 2261 2262 227 228 2281 2282 229 555.8 64.6 57.1 9.8 20.5 139.5 15.8 35.8 38.4 8.6 21.2 59.5 27.8 18.9 65.3 83.6 60.7 16.6 55.9 553.6 63.9 57.5 9.7 20.3 137.7 15.6 35.1 38.0 8.4 20.9 60.6 28.3 19.0 65.3 82.8 59.7 16.7 55.8 540.5 62.2 55.6 8.7 19.7 133.3 15.2 34.9 34.8 7.8 21.6 57.3 27.2 17.6 65.5 82.3 59.2 16.6 55.9 541.2 62.7 56.6 8.7 20.1 131.2 14.9 34.3 34.1 7.5 21.4 57.5 26.9 18.1 65.3 82.1 58.8 16.7 57.0 540.1 _ _ _ _ _ _ _ _ _ _ - 470.0 57.8 48.5 8.2 16.7 117.9 13.7 31.3 32.9 7.5 17.5 49.4 23.1 15.5 54.1 74.3 54.1 14.6 43.1 469.0 57.3 49.0 8.1 16.6 116.2 13.6 30.5 32.6 7.3 17.2 50.3 23.5 15.6 54.5 73.8 53.5 14.7 43.2 457.0 55.7 47.3 7.3 16.1 112.9 13.3 30.2 30.3 6.7 17.9 47.5 22.6 14.3 53.7 73.7 53.2 14.9 42.8 457.9 56.2 48.2 7.3 16.5 111.0 12.9 29.6 29.7 6.5 17.8 47.8 22.3 14.9 53.6 73.3 52.7 14.8 44.0 456.8 _ _ _ _ _ Apparel and other textile products Men's and boys' suits and coats Men's and boys' furnishings Men's and boys' shirts Men's and boys' trousers and slacks Men's and boys' work clothing Women's and misses' outerwear Women's and misses' blouses and shirts Women's, juniors', and misses' dresses Women's and misses' suits and coats Women's and misses' outerwear, nee 23 231 232 2321 2325 2326 233 2331 2335 2337 2339 684.3 22.7 154.1 28.7 48.8 27.5 201.7 15.9 30.1 16.2 139.5 684.1 22.5 153.1 28.4 48.3 27.4 203.2 15.5 30.0 16.0 141.7 643.5 21.2 138.7 23.9 45.6 24.9 192.2 13.7 28.7 13.7 136.1 646.8 20.3 139.7 23.9 45.4 25.2 192.3 14.1 28.3 14.2 135.7 641.5 _ _ _ _ _ _ _ - 543.4 18.0 128.1 24.1 41.5 23.9 154.4 11.6 23.2 11.7 107.9 543.3 17.8 126.3 23.5 40.7 23.5 156.4 11.2 23.2 11.4 110.6 510.6 16.8 112.7 19.3 38.4 21.0 149.6 9.6 21.8 10.0 108.2 514.0 15.8 113.7 19.1 38.7 21.0 149.6 9.9 21.4 10.4 107.9 509.1 _ _ _ See footnotes at end of table. 69 _ _ _ _ _ _ _ _ _ _ - _ _ _ _ _ - ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry—Continued (In thousands) SIC Industry L>UUc Nondurable goods—Continued Apparel and other textile products—Continued Women's and children's undergarments Women's and children's underwear Brassieres, girdles, and allied garments Girls' and children's outerwear Girls' and children's dresses and blouses Misc. apparel and accessories Misc. fabricated textile products Curtains and draperies House furnishings, nee Automotive and apparel trimmings Production workers1 All employees 1987 Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 234 2341 2342 236 2361 238 239 2391 2392 2396 26.2 18.0 8.2 19.2 8.4 31.1 214.6 19.5 54.0 61.8 25.6 17.9 7.7 19.3 8.2 31.3 214.4 19.2 54.1 62.4 22.4 16.2 6.2 17.4 7.9 29.8 207.1 17.6 51.9 60.7 22.2 16.1 6.1 17.9 8.1 31.1 208.4 17.6 52.7 61.9 Paper and allied products Paper mills Paperboard mills Paperboard containers and boxes Corrugated and solid fiber boxes Sanitary food containers Folding paperboard boxes Misc. converted paper products Paper, coated and laminated, nee Bags: plastics, laminated, and coated Envelopes 26 262 263 265 2653 2656 2657 267 2672 2673 2677 669.3 147.3 48.2 218.4 133.8 16.5 46.6 243.8 46.1 40.1 24.9 666.2 145.3 48.1 218.9 134.1 16.5 46.8 242.4 45.5 39.9 24.9 664.0 142.9 47.0 218.1 135.8 16.5 45.4 245.4 46.7 39.6 24.9 661.8 141.8 46.8 217.8 135.3 16.4 45.2 245.1 46.8 39.0 24.9 Printing and publishing Newspapers Periodicals Books Book publishing Book printing Miscellaneous publishing Commercial printing Commercial printing, lithographic Commercial printing, nee Manifold business forms Blankbooks and bookbinding Printing trade services 27 271 272 273 2731 2732 274 275 2752 2759 276 278 279 1,551.6 442.4 144.9 123.6 87.1 36.5 89.7 568.1 376.0 171.9 42.8 63.7 49.3 1,548.4 441.7 143.9 123.8 87.2 36.6 89.4 567.4 375.5 171.7 42.7 62.9 49.2 1,562.3 447.6 147.3 129.7 90.6 39.1 95.8 565.2 373.0 172.2 41.0 62.5 47.2 Chemicals and allied products Industrial inorganic chemicals Industrial inorganic chemicals, nee Plastics materials and synthetics Plastics materials and resins Organic fibers, noncellulosic Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and other detergents Polishing, sanitation, and finishing preparations Toilet preparations Paints and allied products Industrial organic chemicals Cyclic crudes and intermediates Industrial organic chemicals, nee Agricultural chemicals Miscellaneous chemical products 28 281 2819 282 2821 2824 283 2834 284 2841 2842,3 2844 285 286 2865 2869 287 289 1,034.4 98.9 54.1 154.4 76.8 42.7 296.9 232.4 160.6 41.9 41.0 77.7 52.8 125.7 21.5 101.6 54.9 90.2 1,031.3 98.7 54.1 153.5 76.0 42.8 295.9 231.9 161.9 42.0 41.0 78.9 52.6 124.5 21.3 100.6 54.3 89.9 Petroleum and coal products Petroleum refining Asphalt paving and roofing materials 29 291 295 135.4 88.0 33.0 1,009.4 79.9 4.5 74.4 29.5 106.8 743.8 Rubber and misc. plastics products Tires and inner tubes Rubber and plastics footwear Hose, belting, gaskets, and packing Rubber and plastics hose and belting Fabricated rubber products, nee Miscellaneous plastics products, nee :.. 30 301 302 305 3052 306 308 Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P 21.1 14.2 6.9 15.6 7.2 24.6 170.1 15.5 45.8 47.7 20.6 14.2 6.4 15.8 7.0 24.7 170.2 15.3 46.0 48.1 17.9 12.7 5.2 14.5 6.9 22.7 164.6 13.8 44.4 46.7 17.7 12.6 5.1 15.1 7.1 23.8 166.4 13.9 45.4 47.9 657.4 _ _ _ _ _ _ _ _ - 506.4 115.3 37.0 168.9 99.9 14.9 37.5 175.9 21.7 31.2 19.0 505.0 113.5 36.9 170.1 100.8 15.0 37.7 175.3 21.0 31.2 19.1 503.7 112.0 36.2 168.9 102.2 14.9 36.4 178.3 21.0 31.7 19.2 502.4 111.1 36.1 168.9 102.1 14.7 36.3 178.3 20.8 31.3 19.2 499.9 _ - 1,559.9 447.2 146.7 129.3 90.4 38.9 95.2 565.3 373.8 171.4 40.1 62.3 47.1 1,556.7 _ _ _ _ _ _ _ - 824.8 146.5 45.5 55.8 27.3 28.5 43.2 403.4 267.9 119.6 28.6 48.6 32.6 822.0 146.3 45.9 55.9 27.3 28.6 43.0 401.6 266.7 119.2 28.5 47.7 32.2 832.9 148.3 51.1 60.6 29.5 31.1 47.2 400.5 265.7 119.3 27.7 47.1 31.1 833.7 148.1 51.5 60.3 29.2 31.1 47.0 401.0 266.6 118.8 27.4 46.9 31.2 831.4 _ _ _ _ _ _ - 1,029.7 97.4 52.3 148.1 74.9 39.9 307.2 240.9 157.5 42.1 40.0 75.4 54.5 121.9 20.9 98.4 52.3 90.8 1,027.1 97.3 52.1 147.9 74.1 40.3 307.4 241.2 156.8 41.3 39.9 75.6 53.7 121.3 20.7 98.1 52.3 90.4 1,026.2 _ _ _ _ _ _ - 582.0 51.6 29.9 102.2 46.3 33.7 135.4 108.8 105.4 29.5 23.2 52.7 27.4 72.3 12.6 57.8 32.8 54.9 584.4 50.9 29.9 102.1 45.7 33.8 136.1 109.7 107.6 30.0 23.5 54.1 27.4 72.7 12.6 58.3 32.6 55.0 581.6 55.8 30.6 100.4 46.6 32.0 138.8 112.0 97.5 26.1 22.5 48.9 28.6 73.6 12.1 59.4 31.5 55.4 578.3 55.7 30.5 100.9 46.2 32.5 137.9 111.2 96.7 24.8 22.5 49.4 28.1 73.2 12.0 59.2 31.0 54.8 579.9 _ _ _ _ _ _ _ - 134.8 87.5 32.8 134.4 86.8 33.1 135.5 87.8 33.2 133.5 - 90.4 56.8 25.8 89.6 56.4 25.4 111 45.3 25.5 77.4 45.2 25.5 76.7 - 1,005.2 79.3 4.6 74.2 29.4 107.1 740.0 1,003.6 80.8 3.5 75.5 30.2 104.9 738.9 1,007.2 81.3 4.2 75.2 30.0 105.6 740.9 999.0 _ _ _ - 782.1 58.7 3.4 57.3 23.3 82.0 580.7 780.8 58.5 3.4 57.2 23.2 82.5 579.2 779.0 59.9 2.4 58.4 23.8 81.1 577.2 783.0 60.9 33 58.0 23.5 81.5 579.3 777.7 _ - See footnotes at end of table. Sept. 2000P 70 _ _ _ - _ _ _ _ - _ _ - ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry—Continued (In thousands) Industry Nondurable goods—Continued Leather and leather products Leather tanning and finishing Footwear, except rubber Men's footwear, except athletic Women's footwear, except athletic Luggage Handbags and personal leather goods 1987 SIC Code 31 311 314 3143 3144 316 317 Production workers1 All employees Aug. 1999 Sept. 1999 77.4 12.7 33.0 18.2 7.4 9.4 77.5 12.9 32.7 18.1 7.4 9.5 6.3 6.3 6,831 6,908 4,478 228.2 201.7 Transportation and public utilities Transportation July 2000 Aug. 2000P Sept. 2000P 57.8 10.6 25.8 13.8 6.0 7.0 2.9 53.0 10.7 21.2 12.4 4.8 8.0 2.7 55.1 11.0 23.0 13.0 4.8 8.0 2.8 54.1 6,992 6,924 7,088 5,648 5,722 5,824 5,758 5,901 4,506 4,521 4,601 220.5 194.5 221.1 195.0 221.7 384.3 225.3 459.2 225.7 398.4 234.5 401.1 234.3 20.2 21.2 21.2 21.4 1,616.4 1,452.8 155.6 1,619.3 1,452.1 159.2 1,638.6 1,466.0 163.8 1,647.2 1,473.5 165.1 119.0 117.9 132.6 134.0 41 411 412 413 415 423.9 248.0 31.3 22.7 85.2 500.9 248.9 31.8 24.1 158.4 436.7 257.0 32.8 22.8 86.9 438.6 256.4 32.6 23.1 89.9 517.5 Trucking and warehousing Trucking and courier services, except air .. Public warehousing and storage 42 421 422 1,838.9 1,643.6 186.6 1,842.0 1,642.5 190.8 1,865.2 1,657.8 197.6 1,873.3 1,665.0 198.9 1,876.7 Water transportation Water transportation of freight, nee Water transportation services 44 444 449 197.2 13.8 135.8 194.2 13.9 134.0 211.7 14.4 149.8 213.4 14.5 150.8 207.6 Transportation by air Air transportation, scheduled Air transportation, scheduled Airports, flying fields, and services 45 451 4512 458 1,230.2 1,042.5 559.7 140 1,233.3 1,047.3 561.0 138 1,282.6 1,090.8 578.6 142 1,284.4 1,093.5 582.0 141 1,286.2 Pipelines, except natural gas 46 12.8 Transportation services Passenger transportation arrangement Travel agencies Freight transportation arrangement 47 472 4724 473 49 491 492 493 495 Wholesale trade Durable goods Motor vehicles, parts, and supplies Automobiles and other motor vehicles Motor vehicle supplies and new parts Furniture and home furnishings Furniture H o m e furnishings 50 501 5012 5013 502 5021 5023 12.6 12.7 12.6 12.4 10.7 10.5 8.5 8.3 468.1 222.6 174.1 189.5 466.5 221.3 173.2 189.8 476.7 221.6 172.7 195.5 477.5 222.2 172.8 195.6 479.3 385.1 187.0 146.4 151.9 382.7 185.3 145.3 151.6 394.9 185.0 143.7 160.9 395.5 185.4 143.8 160.7 2,433 2,430 2,486 2,403 2,487 1,562.6 1,078.9 900.0 247.3 115.8 131.5 202.7 1,565.4 1,079.2 900.7 248.5 116.5 132.0 203.7 1,622.3 1,116.6 930.6 251.3 116.5 134.8 219.2 1,542.2 1,034.9 846.2 250.8 115.5 135.3 220.9 1,632.2 1,119.0 738.1 599.8 201.4 1,115.9 732.8 593.8 202.8 1,200.6 803.0 656.3 202.4 1,124.2 728.7 579.4 201.7 165.2 166.1 177.3 175.1 870.0 362.7 133.0 154.7 181.9 864.5 359.7 132.1 153.6 182.1 863.7 359.4 127.5 151.6 186.4 861.2 356.7 127.1 150.9 187.8 855.2 700.8 291.1 105.0 123.3 151.7 694.4 287.4 104.2 122.1 151.9 696.9 289.1 100.6 123.3 153.2 694.2 287.0 100.7 121.8 154.1 6,973 6,967 7,089 7,089 7,070 5,583 5,566 5,661 5,662 4,148 532.0 159.9 296.1 176.2 86.1 90.1 4,140 529.0 161.7 293.8 176.0 85.1 90.9 4,223 531.9 164.5 296.3 182.5 91.4 91.1 4,217 529.9 163.2 296.0 182.6 91.4 91.2 4,193 3,260 425.9 3,245 421.3 3,308 423.0 3,301 421.5 139.5 139.6 145.8 146.3 See footnotes at end of table. 71 Sept. 2000P 57.9 10.3 26.1 13.8 6.1 7.0 3.0 Local and interurban passenger transit Local and suburban transportation Taxicabs Intercity and rural bus transportation School buses Electric, gas, and sanitary services Electric services Gas production and distribution Combination utility services Sanitary services Aug. 2000P 73.7 40 4011 48 481 4813 483 4832 4833 484 July 2000 74.6 13.5 29.3 17.1 6.0 10.6 6.3 Railroad transportation Class I railroads plus Amtrak2 Communications Telephone communications Telephone communications, except radio Radio and television broadcasting Radio broadcasting stations Television broadcasting stations Cable and other pay television services .... Sept. 1999 72.7 13.3 27.6 16.7 5.9 10.5 6.3 4,398 226.9 200.6 Communications and public utilities Aug. 1999 5,636 ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry—Continued (In thousands) Industry 1987 SIC Pnrtp vUUc Wholesale trade—Continued Durable goods—Continued Lumber and other construction materials Lumber, plywood, and millwork Construction materials, nee Professional and commercial equipment Office equipment Computers, peripherals and software Medical and hospital equipment Metals and minerals, except petroleum Electrical goods Electrical apparatus and equipment Electrical appliances, television and radio sets Electronic parts and equipment Hardware, plumbing, and heating equipment.... Hardware Plumbing and hydronic heating supplies Machinery, equipment, and supplies Construction and mining machinery Farm and garden machinery Industrial machinery and equipment Industrial supplies Misc. wholesale trade durable goods Scrap and waste materials Nondurable goods Paper and paper products Stationery and office supplies Drugs, proprietaries, and sundries Apparel, piece goods, and notions Groceries and related products Groceries, general line Meats and meat products Fresh fruits and vegetables Farm-product raw materials Chemicals and allied products Petroleum and petroleum products Petroleum bulk stations and terminals Petroleum products, nee Beer, wine, and distilled beverages Beer and ale Wine and distilled beverages Misc. wholesale trade nondurable goods Farm supplies Production workers1 All employees Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 236.2 _ _ 721.4 _ _ 156.8 125.7 406.0 _ _ 268.8 _ 663.5 _ _ _ 262.5 - 248.9 _ _ 714.8 _ _ 162.6 128.2 427.1 _ _ _ 273.8 _ 678.0 _ _ _ 268.7 - 250.5 _ _ 714.2 _ _ 164.3 127.7 426.1 _ _ 271.5 _ 673.5 _ _ _ 269.5 - 2,877 _ _ _ _ _ - 2,323 231.4 206.3 185.8 800.1 _ 83.9 115.3 129.7 _ _ 128.7 _ 442.2 - 2,321 229.6 205.7 185.5 801.9 _ 86.0 113.5 127.6 _ _ 127.8 _ 443.3 - 2,353 231.2 _ 214.3 196.0 809.4 _ 80.2 112.6 130.2 _ _ 131.0 _ 447.6 - 2,361 230.3 _ 216.6 194.6 815.3 _ 80.9 116.4 130.0 _ _ 132.9 _ 443.7 - _ _ _ _ _ _ - 23,347 23,234 20,258 20,144 20,542 20,550 20,429 284.0 145.4 39.2 953.7 201.9 413.0 196.9 154.2 557.2 229.6 46.3 281.3 321.7 116.0 125.5 834.7 94.9 118.5 341.3 150.4 334.1 121.9 284.0 144.2 40.0 949.2 201.0 414.9 194.2 156.1 559.7 228.7 46.3 284.7 321.0 117.5 123.6 830.0 94.3 115.7 340.9 150.6 335.1 122.2 297.6 152.5 42.4 944.9 197.9 400.6 202.1 160.8 585.2 238.4 47.9 298.9 327.5 118.7 125.3 845.9 93.7 117.9 351.9 153.8 346.2 127.9 298.1 152.6 42.8 948.1 197.4 402.2 204.4 159.8 585.3 236.4 47.9 301.0 325.1 118.3 124.5 840.9 93.3 118.6 349.6 152.6 347.1 128.7 51 511 5112 512 513 514 5141 5147 5148 515 516 517 5171 5172 518 5181 5182 519 5191 2,825 275.0 160.8 249.8 227.0 948.3 299.0 58.3 102.1 104.6 156.6 157.2 59.9 97.3 158.6 102.4 56.2 548.2 160.8 2,827 274.8 161.6 248.9 227.8 949.3 297.7 58.3 103.8 106.4 155.8 155.8 59.7 96.1 158.0 101.8 56.2 550.2 160.1 2,866 275.1 158.0 258.6 237.7 958.1 298.8 58.4 104.6 100.4 156.4 159.1 62.5 96.6 161.4 104.7 56.7 558.7 157.3 2,872 276.4 159.4 259.1 236.6 963.2 299.2 58.6 104.1 101.2 158.1 159.0 62.6 96.4 163.0 105.0 58.0 555.1 154.6 22,993 22,893 23,324 _ _ _ _ _ _ _ _ _ _ _ - Building materials and garden supplies Lumber and other building materials Paint, glass, and wallpaper stores Hardware stores Retail nurseries and garden stores 52 521 523 525 526 1,011.2 627.8 66.4 164.7 100.3 994.9 619.7 65.7 161.9 96.5 1,055.0 658.1 69.8 168.0 109.2 1,039.2 650.7 69.7 166.4 102.6 1,015.1 - 847.0 536.3 49.5 136.7 84.2 831.1 528.1 48.7 134.4 80.3 888.8 564.7 51.3 141.7 93.9 871.7 557.4 51.2 140.1 85.8 General merchandise stores Department stores Variety stores Miscellaneous general merchandise stores 53 531 533 539 2,714.7 2,378.2 137.1 199.4 2,715.0 2,375.9 138.8 200.3 2,667.2 2,321.0 143.2 203.0 2,689.0 2,342.6 145.0 201.4 2,705.7 2,359.3 _ - 2,538.7 2,245.9 118.0 174.8 2,542.9 2,247.5 119.3 176.1 2,493.3 2,190.1 124.7 178.5 2,511.2 2,207.7 126.4 177.1 Food stores Grocery stores Meat and fish markets Dairy products stores Retail bakeries 54 541 542 545 546 3,513.2 3,099.5 48.3 14.9 195.9 3,484.8 3,075.1 48.2 14.1 195.6 3,542.6 3,128.7 46.7 15.1 189.7 3,536.9 3,121.6 46.1 15.5 190.5 3,514.9 _ - 3,179.3 2,825.0 _ 170.5 3,146.1 2,795.3 170.4 3,198.4 2,843.2 165.4 3,192.1 2,835.3 165.8 Automotive dealers and service stations New and used car dealers 55 551 2,395.6 1,089.2 2,384.4 1,090.3 2,439.1 1,117.4 2,442.8 1,119.2 2,431.6 1,121.6 1,998.2 915.0 1,986.6 915.0 2,041.3 940.3 2,042.5 942.1 See footnotes at end of table. 72 Sept. 2000P 237.8 _ _ 725.3 _ _ 160.3 124.2 406.8 _ _ 269.9 667.2 _ _ _ 263.2 - 503 5031 5039 504 5044 5045 5047 505 506 5063 5064 5065 507 5072 5074 508 5082 5083 5084 5085 509 5093 Retail trade Sept. 2000P _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ - _ _ _ _ - _ _ _ — ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry—Continued (In thousands) Industry Retail trade—Continued Automotive dealers and service stations—Continued Auto and home supply stores Gasoline service stations Automotive dealers, nee 1987 SIC Code Production workers1 All employees Aug. 1999 Sept. 1999 July 2000 Aug. 2000P July 2000 Aug. 2000P 323.1 582.9 8.3 325.1 581.7 8.3 1,190.9 996.1 63.4 228.1 381.4 170.5 976.0 63.1 226.6 370.4 167.6 991.4 64.2 225.8 382.7 162.2 1,003.3 64.7 224.9 390.4 164.9 1,111.3 578.7 333.4 74.3 458.3 205.1 80.3 1,110.9 890.1 454.7 892.9 453.7 916.4 473.1 920.3 475.0 59.3 376.1 163.8 65.7 58.4 380.8 165.5 65.8 60.7 382.6 169.1 69.9 60.6 384.7 171.1 69.8 8,303.3 8,292.3 8,208.3 7,340.9 7,271.5 7,487.3 7,472.2 2,974.5 655.4 113.1 132.2 1,061.7 199.6 145.9 102.7 151.3 247.4 46.4 370.2 246.2 68.2 94.7 547.2 152.7 75.5 319.0 3,010.4 668.0 116.1 138.3 1,052.9 202.4 129.4 106.4 157.3 251.2 41.2 368.9 242.1 69.1 92.7 573.5 162.3 76.9 334.3 3,026.1 668.0 115.3 140.2 1,059.2 204.6 134.0 107.0 156.3 251.7 41.3 375.4 247.4 69.9 92.9 575.1 161.5 76.9 336.7 3,056.5 2,467.2 557.6 2,496.5 563.6 2,525.1 576.5 2,537.1 575.0 111.0 877.5 110.8 892.0 115.9 879.7 117.3 886.3 299.5 314.0 311.2 316.5 76.7 451.8 77.3 447.3 76.0 470.6 76.3 471.4 58.3 264.3 58.5 260.1 59.5 272.6 59.4 274.0 7,668 7,590 7,688 7,685 7,623 5,631 5,548 5,649 5,643 3,722 3,692 3,736 3,735 3,717 2,073.7 1,485.0 596.0 889.0 251.9 145.2 106.7 189.8 2,056.6 1,472.0 589.6 882.4 249.3 143.8 105.5 189.4 2,051.7 1,461.3 596.4 864.9 241.5 138.4 103.1 198.4 2,048.5 1,459.8 595.8 864.0 240.4 137.5 102.9 199.0 2,030.1 1,444.3 1,496.0 1,054.9 431.0 623.9 1,477.6 1,041.0 424.1 616.9 1,485.0 1,042.3 430.6 611.7 1,481.4 1,040.9 429.5 611.4 151.5 150.9 158.2 158.7 684.7 483.6 110.8 473.6 108.8 447.8 106.6 445.5 106.0 109.0 108.3 116.0 116.0 404.6 663.8 10.7 402.7 678.9 10.1 403.9 680.7 10.1 Apparel and accessory stores Men's and boys' clothing stores Women's clothing stores Family clothing stores Shoe stores 56 561 562 565 566 1,187.1 79.0 277.2 431.2 212.5 1,169.0 78.7 276.6 420.0 209.8 1,197.5 80.3 279.4 439.7 205.0 1,209.2 80.4 279.9 445.9 208.3 Furniture and home furnishings stores Furniture and home furnishings stores Furniture stores Household appliance stores Radio, television, and computer stores Radio, television, and electronic stores Record and prerecorded tape stores 57 571 5712 572 573 5731 5735 1,080.1 555.9 322.0 72.9 451.3 197.5 78.8 1,082.6 555.3 323.0 71.9 455.4 199.4 78.8 1,108.6 577.8 334.5 74.3 456.5 203.1 80.9 Eating and drinking places 58 8,148.5 8,088.1 Miscellaneous retail establishments Drug stores and proprietary stores Liquor stores Used merchandise stores Miscellaneous shopping goods stores Sporting goods and bicycle shops Bookstores Stationery stores Jewelry stores Gift, novelty, and souvenir shops Sewing, needlework, and piece goods Nonstore retailers Catalog and mail-order houses Merchandising machine operators Fuel dealers Retail stores, nee Florists, tobacco stores, and newsstands Optical goods stores Miscellaneous retail stores, nee 59 2,942.3 591 650.4 114.6 592 132.4 593 1,045.2 594 198.9 5941 133.0 5942 103.8 5943 149.5 5944 248.6 5947 46.0 5949 355.4 596 231.8 5961 67.7 5962 93.7 598 550.6 599 153.0 5992,3,4 75.2 5995 322.4 5999 Depository institutions Commercial banks State commercial banks National and commercial banks, nee Savings institutions Federal savings institutions Savings institutions, except federal Credit unions 60 602 6022 6021,9 603 6035 6036 606 Nondepository institutions Personal credit institutions Business credit institutions Mortgage bankers and brokers 61 614 615 616 717.3 203.3 132.3 359.5 708.0 201.9 132.7 351.3 685.4 205.1 137.7 321.6 684.1 204.8 138.1 320.3 Security and commodity brokers Security brokers and dealers Commodity contracts brokers, dealers, and exhanges Security and commodity services 62 621 701.2 513.4 697.3 510.1 755.9 553.3 759.5 557.0 622,3 628 26.9 160.9 26.2 161.0 29.9 172.7 29.5 173.0 Holding and other investment offices Holding offices 67 671 229.3 103.5 229.6 103.8 242.9 109.0 242.6 109.2 See footnotes at end of table. Sept. 1999 316.9 572.9 8.8 406.3 670.7 10.9 Finance Aug. 1999 316.8 581.1 9.1 553 554 559 Finance, insurance, and real estate3 Sept. 2000P 73 238.2 321.8 758.9 243.6 Sept. 2000P 5,579 ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry—Continued (In thousands) Industry Finance, insurance, and real estate—Continued Insurance 1987 SIC Code Production workers1 All employees Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 1,244.6 342.4 297.0 242.8 458.1 1,234.8 342.0 295.0 241.7 454.1 1,239.9 340.9 295.5 239.8 464.9 1,238.6 339.1 295.5 239.9 466.1 63,64 2,383 2,372 2,367 2,365 2,352 Insurance carriers Life insurance Medical service and health insurance Hospital and medical service plans Fire, marine, and casualty insurance Title insurance 63 631 632 6324 633 636 1,616.9 506.0 370.0 298.7 563.3 86.3 1,607.2 504.8 368.4 298.2 559.9 83.6 1,594.6 491.6 368.1 296.8 564.2 77.4 1,592.7 489.2 367.9 297.4 564.9 77.1 1,581.8 Insurance agents, brokers, and service 64 766.3 765.1 772.2 772.4 769.9 65 651 653 655 1,563 585.6 796.9 136.1 1,526 575.0 774.4 132.7 1,585 588.2 812.7 142.5 1,585 586.9 814.7 141.4 1,554 39,490 39,421 40,832 40,892 40,844 34,428 34,351 35,684 35,729 811.8 208.8 547.6 879.6 223.1 599.7 870.4 223.4 590.0 842.7 711.3 180.2 485.4 688.1 176.2 466.5 746.1 188.7 510.9 735.8 189.2 500.1 1,682.1 1,630.0 1,755.8 1,747.1 393.8 392.0 402.3 400.9 365.1 366.4 375.5 380.9 119.9 122.3 134.6 135.5 Real estate Real estate operators and lessors Real estate agents and managers Subdividers and developers Services Agricultural services Veterinary services Landscape and horticultural services 07 074 078 833.3 212.9 564.9 Hotels and other lodging places 70 701 2,002.8 1,909.7 1,915.6 2,084.0 2,074.1 1,855.0 1,988.4 1,980.9 1,983.3 Personal services Laundry, cleaning, and garment services Photographic studios, portrait Beauty shops Funeral service and crematories Miscellaneous personal services 72 721 722 723 726 729 1,192.4 447.0 71.9 413.6 102.0 143.7 1,207.4 445.6 86.0 414.1 101.4 146.1 1,247.0 Business services Advertising Advertising agencies Credit reporting and collection Mailing, reproduction, and stenographic services Photocopying and duplicating services Services to buildings Disinfecting and pest control services Building maintenance services, nee Miscellaneous equipment rental and leasing Medical equipment rental Heavy construction equipment rental Equipment rental and leasing, nee Personnel supply services Employment agencies Help supply services Computer and data processing services Computer programming services Prepackaged software Computer integrated systems design Data processing and preparation Information retrieval services Computer maintenance and repair Miscellaneous business services Detective and armored car services Security systems services Photofinishing laboratories 73 731 7381 7382 7384 9,455.1 9,468.3 282.8 280.7 185.7 183.4 155.2 155.1 320.3 320.3 83.7 83.6 1,002.2 1,000.8 90.7 92.6 910.1 909.6 282.9 283.6 43.1 43.2 56.6 56.9 183.2 183.5 3,723.5 3,738.4 383.9 379.9 3,343.6 3,354.5 1,858.9 1,859.8 440.9 444.2 285.2 282.3 211.9 209.8 277.4 277.8 132.2 132.0 57.5 58.0 1,828.6 1,830.3 600.9 603.8 70.7 70.6 73.1 75.0 Auto repair, services, and parking Automotive rentals, without drivers Passenger car rental Automobile parking Automotive repair shops Automotive and tire repair shops General automotive repair shops 75 751 7514 752 753 7532,4 7538 1,190.1 212.1 140.2 78.6 659.9 226.9 287.6 Hotels and motels 7311 732 733 7334 734 7342 7349 735 7352 7353 7359 736 7361 7363 737 7371 7372 7373 7374 7375 7378 738 9,807.0 9,929.4 9,963.9 8,367.0 8,377.7 8,701.2 8,814.3 217.1 198.7 296.9 200.2 297.6 215.8 198.6 198.8 164.8 163.6 322.7 323.0 85.7 69.4 69.7 67.6 68.0 85.5 899.6 901.0 891.4 892.0 1,008.5 1,007.2 1,004.6 77.4 77.9 95.7 72.6 74.5 96.5 822.2 823.1 818.8 817.5 911.5 912.0 228.6 230.0 241.2 243.2 297.9 300.2 34.9 37.3 36.8 35.0 45.1 44.5 48.4 47.7 47.9 48.5 56.9 57.5 146.7 145.7 156.2 157.9 195.9 198.2 3,866.8 3,968.2 4,009.5 427.2 415.1 3,451.7 3,541.0 3,574.1 3,229.7 3,239.4 3,325.3 3,410.6 1,948.9 1,956.0 1,952.1 1,483.2 1,481.9 1,570.0 1,574.3 371.7 376.4 382.4 383.1 454.9 454.3 329.3 326.1 150.6 162.5 164.2 151.5 215.5 213.2 282.9 282.8 100.4 99.8 115.5 116.3 149.4 149.2 43.4 43.5 38.2 37.4 49.5 48.5 1,588.6 1,591.3 1,657.2 1,676.3 1,897.2 1,916.9 552.4 611.4 561.6 555.0 570.5 621.3 56.9 59.2 59.0 68.0 55.9 66.9 76.5 77.6 1,187.7 1,201.4 209.2 216.9 138.9 145.9 81.0 81.4 658.6 662.0 225.9 228.6 289.3 288.4 See footnotes at end of table. 1,227.3 1,239.0 458.7 459.6 77.2 70.9 428.9 423.4 103.1 103.2 156.7 155.8 74 1,203.6 1,201.5 218.3 146.9 81.2 661.6 228.6 288.8 969.2 172.9 115.5 68.7 522.5 184.1 223.0 967.3 169.4 113.7 70.3 522.9 182.9 226.3 988.8 177.5 120.5 71.4 532.7 186.4 231.1 992.0 179.3 121.8 71.5 532.5 186.5 231.2 Sept. 2000P 35,640 ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry—Continued (In thousands) Industry 1987 SIC 1 Prodijction wor ^ers All employees Aug. Sept. Aug. Sept. 2000P 2000P 1999 1999 July 2000 205.1 118.5 204.7 118.6 207.2 121.4 208.7 121.9 - 311.1 308.5 318.5 317.9 _ 1999 Sept. 1999 July 2000 7542 239.5 133.9 238.9 133.9 241.1 137.3 242.5 137.7 Miscellaneous repair services Electrical repair shops 76 762 379.3 110.7 376.7 110.8 387.6 111.6 387.6 111.8 385.8 Motion pictures Motion picture production and services Motion picture theaters Video tape rental 78 781 783 784 630.9 289.1 145.8 178.3 611.4 285.4 132.8 175.6 645.4 296.1 146.0 185.3 649.4 307.1 140.6 183.8 625.8 Amusement and recreation services Bowling centers Misc. amusement and recreation services Physical fitness facilities Membership sports and recreation clubs 79 793 799 Health services Offices and clinics of medical doctors Offices and clinics of dentists Offices and clinics of other health practitioners Offices and clinics of chiropractors and optometrists Nursing and personal care facilities Skilled nursing care facilities Intermediate care facilities Nursing and personal care, nee Hospitals General medical and surgical hospitals Psychiatric hospitals Specialty hospitals, excluding psychiatric Medical and dental laboratories Home health care services 80 801 802 804 uUUc Services—Continued Auto repair, services, and parking—Continued Automotive services, except repair Carwashes 754 7991 7997 Aug. - 1,927.6 1,760.1 2,122.8 2,093.0 1,887.7 73.1 83.4 69.4 71.6 1,485.5 1,328.4 1,652.2 1,629.4 197.9 195.3 215.6 216.8 442.8 382.3 501.6 483.6 - - 533.5 247.5 - 143.1 - - 1,902.3 1,873.8 62.3 60.4 1,494.2 1,471.1 194.5 193.9 434.0 451.8 _ - 8,858.1 9,008.8 9,014.2 1,549.9 1,599.6 1,601.1 583.3 596.4 595.9 368.1 382.9 383.9 - 150.5 554.2 266.0 - 584.6 591.1 590.7 _ _ _ _ _ _ _ _ _ _ - 793.7 821.9 813.0 - 807 808 10004.5 1,885.5 667.6 444.6 173.2 1,787 ? 1,365.8 202.9 218.5 3,984.8 3,679.6 76.9 228.3 202.3 634.5 Legal services 81 1,005.1 995.1 Educational services Elementary and secondary schools Colleges and universities Vocational schools 82 821 822 824 1,971.2 2,240.6 2,076.2 2,055.1 2,331.7 628.8 691.4 664.7 655.6 1,034.0 1,247.2 1,067.8 1,056.2 90.7 94.6 98.7 102.6 Social services Individual and family services Job training and related services Child day care services Residential care Social services, nee 83 832 833 835 836 839 2,774.4 2,825.7 2,903.8 2,920.2 2,984.3 2,395.9 2,438.9 2,500.1 2,513.4 660.4 676.6 657.0 678.5 760.0 756.7 785.6 784.8 _ 336.9 333.6 320.6 333.0 390.7 375.0 387.3 386.7 774.7 562.8 622.5 620.3 609.9 642.9 709.8 698.4 711.3 830.0 679.3 718.2 676.4 718.6 784.9 782.0 831.9 832.5 156.5 164.7 162.4 195.9 202.2 200.6 204.9 160.1 Museums and botanical and zoological gardens 84 8041,2 805 8051 8052 8059 806 8062 8063 8069 105.1 98.5 1,028.3 1,019.4 111.7 110.1 1,008.2 804.9 _ - - 1,606.4 181.0 _ - 182.0 - _ _ - _ - _ - _ - _ - _ _ _ _ _ _ - - - - - - _ _ _ _ _ _ 49.5 - _ _ _ _ - 2,623.4 843.1 645.4 143.7 54.0 482.1 _ _ _ _ _ - 87 871 3,289.4 3,266.1 3,442.4 3,449.1 3,435.3 2,464.9 2,430.4 2,619.1 796.7 782.8 971.0 958.4 1,023.0 1,025.3 1,015.3 842.2 _ 607.5 598.6 733.1 772.8 776.7 642.6 725.3 _ 173.9 181.9 171.0 181.6 137.2 144.2 134.0 _ 52.0 50.2 64.0 62.1 68.3 67.0 55.4 447.4 441.3 653.5 667.6 667.4 481.4 654.6 - _ _ - _ _ Engineering and management services Engineering and architectural services Engineering services Architectural services Surveying services Accounting, auditing, and bookkeeping 75 - 103.2 2,465.2 2,407.7 2,501.4 2,473.0 2,427.3 115.2 117.0 115.0 116.4 _ 66.7 66.6 68.4 68.4 _ 137.6 139.2 137.3 137.3 497.3 439.9 527.4 499.4 See footnotes at end of table. 183.2 3,653.7 3,692.7 3,691.1 86 861 862 863 864 872 _ 1,608.5 1,614.4 Membership organizations Business associations Professional organizations Labor organizations Civic and social associations 8711 8712 8713 - 148.4 - 140.8 549.8 254.7 10024.1 1,893.0 668.1 444.7 173.8 1,790.5 1,368.6 203.8 218.1 3,993.4 3,688.3 76.7 228.4 202.7 633.9 10167.0 1,936.3 680.1 460.3 179.2 1,792.4 1,370.8 204.1 217.5 4,030.4 3,712.9 80.6 236.9 209.7 644.2 Sept. 2000P _ - 517.6 246.4 1,713.7 1,550.7 63.9 73.7 1,327.8 1,176.9 175.8 173.8 396.5 338.5 10173.6 10172.1 8,874.6 1,941.1 1,942.5 1,556.7 681.7 583.1 _ 459.4 369.3 178.0 1,797.2 1,795.1 1,609 1 1,373.4 _ 182.0 205.0 218.8 4,026.8 4,030.4 3,660.0 3,709.7 79.5 _ 237.6 209.9 641.4 584.4 643.2 - Aug. 2000P 48.7 48.4 49.4 _ - _ - _ - ESTABLISHMENT DATA EMPLOYMENT NOT SEASONALLY ADJUSTED B-12. Employees on nonfarm payrolls by detailed industry—Continued (In thousands) Industry 1987 SIC Code Production workers1 All employees Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 614.3 227.5 133.3 151.6 1,050.6 319.6 389.2 45.3 605.4 227.3 131.8 145.6 1,047.7 319.2 390.9 44.9 634.7 235.1 141.2 155.8 1,117.1 341.9 411.2 51.9 633.8 235.6 141.4 153.8 1,122.6 343.1 413.0 52.7 51.8 51.6 54.2 52.7 52.5 19,006 20,025 19,517 19,299 20,263 2,657 2,647 2,837 2,659 2,614 Executive, by agency4 Department of Defense Postal Service5 Other executive agencies Legislative Judicial 2,595.3 640.8 862.6 1,091.9 30.3 31.7 2,584.5 635.3 862.2 1,087.0 30.3 31.8 2,773.3 632.7 857.3 1,283.3 32.1 31.9 Federal Government, except Postal Service 1,794.7 1,784.4 1,980.0 1,802.1 1,759.2 3731 48.9 22.9 48.4 22.7 47.4 22.1 47.5 22.2 806 14.5 367.7 219.3 14.5 362.7 218.6 14.3 369.6 220.6 14.4 370.6 220.5 4,443 95.5 53.5 2,389.0 342.2 1,682.0 207.9 4,687 93.4 53.1 2,646.9 341.6 1,941.7 206.0 4,497 92.7 55.1 2,402.9 338.5 1,700.3 206.8 4,504 92.3 54.8 2,408.8 339.3 1,706.4 207.0 Services—Continued Engineering and management services—Continued Research and testing services Commercial physical research Commercial nonphysical research Noncommercial research organizations Management and public relations Management services Management consulting services Public relations services Services, nee 873 8731 8732 8733 874 8741 8742 8743 89 Government Federal Government4 Federal Government, by industry: Manufacturing activities Ship building and repairing Transportation and public utilities, except Postal Service Services Hospitals State government Construction Transportation and public utilities Services Hospitals Education Social services Services, except hospitals, education, and social services General administration, including executive, legislative, and judicial functions State government, except education Local government Transportation and public utilities Services Hospitals Education Social services Services, except hospitals, education, and social services General administration, including executive, legislative, and judicial functions Local government, except education 806 82 806 82 156.9 157.6 157.3 156.1 1,904.7 2,760.7 1,893.7 2,745.4 1,946.4 2,796.8 1,947.9 2,797.4 11,906 464.9 7,379.6 632.4 6,130.4 147.4 12,691 461.8 8,354.0 630.7 7,149.5 144.0 12,183 475.3 7,517.9 642.7 6,220.0 146.5 12,136 474.0 7,512.2 643.4 6.229.6 147.2 469.4 429.8 508.7 492.0 4,061.7 5,775.8 3,875.5 5,541.8 4,189.8 5,963.0 4,149.4 5,906.0 1 Data relate to production workers in mining and manufacturing; construction workers in construction; and nonsupervisory workers in transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services. 2 Data relate to line-haul railroads with operating revenues of $253.7 million or more in 1993 and to Amtrak. 3 Excludes nonoffice commissioned real estate sales agents. 4 Prepared by the Office of Personnel Management. Data relate to civilian Sept. 2000P 1,124.6 Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 450.9 137.4 109.9 119.8 769.9 235.0 280.8 29.6 441.0 135.4 108.5 114.4 765.3 234.6 280.5 29.2 469.0 144.4 118.1 123.1 826.5 255.5 294.6 35.0 468.8 145.3 118.5 121.4 829.4 257.1 295.8 35.4 40.8 40.5 42.1 40.4 Sept. 2000P 4,741 1,961.4 2,779.5 12,908 7,241.1 5,666.4 employment only and exclude the Central Intelligence Agency and the National Security Agency. 5 Includes rural mail carriers. " Data not available. P = preliminary. NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all unadjusted data from April 1999 forward are subject to revision. 76 ESTABLISHMENT DATA WOMEN EMPLOYEES NOT SEASONALLY ADJUSTED B-13. Women employees on nonfarm payrolls by major industry and manufacturing group (In thousands) June 1999 July 1999 May 2000 June 2000 July 2000 62,557 61,574 64,057 64,121 62,845 51,240 51,194 51,939 52,376 52,259 6,720 6,686 6,672 6,730 6,707 80 80 73 75 75 723 732 745 762 768 5,917 5,874 5,854 5,893 5,864 Durable goods Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Industrial machinery and equipment Electronic and other electrical equipment Transportation equipment Instruments and related products Miscellaneous manfacturing 2,977 149.5 175.3 101.9 103.7 345.5 474.2 681.8 413.0 358.2 173.7 2,953 150.3 175.5 100.9 101.8 341.6 469.6 678.7 406.5 355.8 172.2 2,974 149.9 179.4 100.6 101.9 347.4 475.5 685.4 409.2 352.6 171.6 2,993 152.0 180.4 102.1 102.4 349.7 478.7 689.4 412.5 353.8 171.7 2,974 150.8 178.8 103.0 101.8 343.5 476.7 691.7 403.3 354.5 169.5 Nondurable goods Food and kindred products Tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and misc. plastics products Leather and leather products 2,940 547.0 11.0 260.3 503.6 164.4 700.6 342.5 24.2 345.0 41.4 2,921 559.4 11.2 256.7 485.4 164.3 701.4 340.6 24.1 339.2 38.5 2,880 542.8 10.6 252.2 469.5 164.2 700.9 335.2 24.1 342.6 38.2 2,900 554.1 10.7 252.8 463.7 166.9 708.3 336.7 24.6 344.7 37.8 2,890 568.6 10.6 248.9 452.5 166.8 708.2 334.5 24.6 339.0 36.6 55,837 54,888 57,385 57,391 56,138 Transportation and public utilities 2,089 2,059 2,154 2,162 2,138 Wholesale trade 2,138 2,148 2,195 2,216 2,206 12,105 12,063 12,076 12,228 12,204 4,764 4,782 4,746 4,782 4,790 Services 23,424 23,456 24,096 24,258 24,214 Government Federal State Local 11,317 1,135 2,327 7,855 10,380 1,130 2,279 6,971 12,118 1,431 2,478 8,209 11,745 1,372 2,360 8,013 10,586 1,234 2,310 7,042 Industry Total Total private Goods-producing Mining Construction Manufacturing Service-producing Retail trade Finance, insurance, and real estate NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all unadjusted data from April 1999 forward are subject to revision. 77 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry (In thousands) Total Mining Construction State and area August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P 1,919.9 480.5 180.8 228.4 166.7 82.0 1,938.7 495.9 181.4 230.5 168.4 81.6 1,940.5 494.8 182.2 230.7 168.0 82.2 (J) (11) ( )2.9 2.7 297.0 134.8 302.3 137.4 302.1 137.6 9.2 2.6 10.0 2.7 Arizona Phoenix-Mesa Tucson 2,134.5 1,508.3 330.4 2,217.0 1,564.4 346.2 2,232.9 1,574.5 349.0 10.3 3.0 1.8 10.1 2.9 1.8 Arkansas Fayetteville-Springdale-Rogers Fort Smith Little Rock-North Little Rock Pine Bluff 1,138.8 148.1 101.5 313.2 35.7 1,161.4 153.9 100.6 313.2 35.7 1,167.3 154.8 100.7 314.0 36.1 13,985.6 186.3 295.5 3,987.2 148.6 1.011.9 1,346.2 931.3 692.3 128.3 1,148.4 1,045.9 972.8 158.3 178.9 183.8 167.6 263.4 14,393.7 187.4 293.8 4,069.7 153.0 1,026.4 1,384.0 973.5 707.6 131.9 1,174.7 1,071.2 994.8 162.5 183.5 183.2 174.5 270.3 Colorado Boulder-Longmont Colorado Springs Denver 2,143.4 169.2 236.8 1,145.9 Connecticut Alabama Birmingham Huntsville Mobile Montgomery Tuscaloosa Alaska Anchorage 9.4 2.1 9.8 2.3 1 9.4 2.1 2.6 110.9 32.5 6.8 19.4 9.8 5.6 10.1 2.7 17.4 9.0 17.2 8.9 17.8 9.2 10.1 2.9 1.8 159.2 116.7 22.3 159.4 116.0 22.3 160.6 116.8 22.5 3.2 .7 52.1 6.2 4.0 16.0 .9 56.0 6.9 3.9 15.7 1.0 56.3 6.8 3.9 15.8 1.0 3.2 .7 August 2000P 111.4 32.7 7.0 19.1 9.7 5.8 ( ) (1) (1) (1) .7 July 2000 106.4 29.3 6.7 18.4 9.2 5.9 1 ( ) (1) (1) 3.3 (1) August 1999 (M (1) (1) (1) (1) (1) (1) 14,401.9 187.2 295.5 4,060.8 156.7 1,029.1 1,384.2 969.2 711.0 131.9 1,172.2 1,073.3 993.3 162.1 185.1 187.8 175.2 268.6 23.6 8.4 .4 4.3 (2) 2.5 .7 .9 .2 .1 .3 .4 .1 .8 .4 .1 .5 1.1 23.3 8.5 .4 4.0 (2) 2.5 .6 1.0 .2 .1 .3 .4 .1 .8 .4 .1 .5 1.1 23.2 8.5 .4 4.0 (2) 2.5 .6 1.0 .2 .1 .3 .4 .1 .8 .4 .1 .5 1.1 710.2 10.0 16.6 127.9 9.9 64.8 76.4 73.0 47.3 6.4 68.5 44.1 47.7 7.9 13.1 11.0 12.5 15.3 760.4 10.0 16.6 133.3 10.4 67.7 80.7 80.0 48.6 6.9 71.6 47.0 51.1 8.1 13.9 11.4 14.6 15.9 769.7 10.2 16.6 134.4 10.4 68.5 81.7 81.1 48.7 6.9 71.9 47.5 51.6 8.3 14.0 11.6 14.7 16.1 2,203.1 174.3 242.4 1,185.9 2,197.8 176.2 241.8 1,185.1 13.0 (\) 1 ( ) 5.8 13.0 (\) 1 ( ) 5.6 12.9 (1) 1 ( ) 5.5 156.4 8.6 15.1 81.6 171.8 8.9 15.9 92.5 169.5 9.0 16.0 91.4 1,664.1 185.8 87.7 607.5 257.7 142.4 211.3 88.2 1,694.1 188.6 89.3 608.5 261.1 144.6 215.1 88.4 1,684.6 187.0 88.4 605.3 257.9 143.4 213.9 88.4 .9 64.8 7.1 4.1 23.3 10.7 5.1 6.7 3.6 66.4 7.0 4.2 23.5 10.8 5.2 6.9 3.9 66.6 7.1 4.2 24.0 10.7 5.2 6.9 3.9 Delaware Dover Wilmington-Newark 416.0 54.3 320.2 428.5 57.6 328.6 426.1 56.9 326.0 .1 .1 .2 .1 .1 .2 .1 .1 .2 25.1 2.8 18.5 26.1 2.8 19.1 26.0 2.8 19.1 District of Columbia Washington PMSA 614.6 2,638.4 626.8 2,727.8 623.0 2,710.1 .1 1.2 .1 1.2 .1 1.3 9.4 144.4 9.3 153.1 9.4 155.1 Florida Daytona Beach Fort Lauderdale Fort Myers-Cape Coral Gainesville Jacksonville Lakeland-Winter Haven Melbourne-Titusville-Palm Bay Miami Orlando Pensacola Sarasota-Bradenton Tallahassee Tampa-St. Petersburg-Clearwater.... West Palm Beach-Boca Raton 6,788.7 154.2 649.5 160.0 116.1 533.0 175.7 182.2 982.2 875.6 154.2 262.6 153.9 1,144.8 460.9 7,061.7 158.5 670.3 165.6 118.7 551.6 181.7 190.4 1,004.8 919.6 159.4 278.1 156.9 1,196.5 479.0 7,073.6 158.3 670.3 165.5 119.5 551.3 181.7 191.5 1,005.8 920.5 159.9 278.2 156.8 1,200.1 479.6 6.4 367.6 8.0 37.1 15.6 4.8 29.6 10.0 10.2 35.1 49.3 10.8 14.7 6.6 56.1 27.2 380.9 8.2 38.0 16.1 4.9 29.3 9.9 10.9 37.2 51.3 10.6 15.3 6.6 56.9 28.1 381.3 8.2 38.1 16.1 4.8 29.6 10.1 11.1 37.2 51.3 10.6 15.2 6.6 57.1 28.1 California Bakersfield Fresno Los Angeles-Long Beach Modesto Oakland Orange County Riverside-San Bernardino Sacramento Salinas San Diego San Francisco San Jose Santa Barbara-Santa Maria-Lompoc Santa Rosa Stockton-Lodi Vallejo-Fairfield-Napa Ventura Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury See footnotes at end of table. 78 .9 .9 (2) (1) (1) (2) (1) (]) (11) (1) (2) () (M (1) (M (2) 6.2 (2) 6.4 (2) .2 (2) .2 (2) (2) (2) (2) (2) (2) 2.6 (2) (2) (2) (2) (2) .2 (2) (2) (2) 2.6 (2) .2 2.7 (2) .3 (2) (2) (2) (2) .4 (2) (2) (1) (1) (1) (1) (1) (2) .3 (2) (2) (2) (2) .4 (2) .4 (2) ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) ManufacturingI Transportation and public utilities Wholesale and retail trade State and area August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P 368.2 50.6 35.1 26.6 18.5 13.2 363.2 51.6 33.8 25.4 19.3 13.5 363.6 51.1 34.8 25.5 19.0 13.4 95.4 31.4 4.5 13.3 7.5 2.4 96.4 31.5 4.7 13.6 7.7 2.4 96.4 31.6 4.7 13.7 20.3 2.2 20.7 2.4 19.7 2.3 28.9 14.6 212.0 164.9 31.1 216.6 166.7 33.5 216.9 166.7 33.7 253.3 34.7 28.9 32.7 8.3 253.9 35.8 28.6 32.6 8.4 1,947.8 10.2 34.5 641.7 32.1 118.3 228.5 119.3 49.1 10.3 129.0 74.3 249.8 16.2 30.4 28.7 21.3 39.7 Colorado Boulder-Longmont Colorado Springs Denver Connecticut August 1999 July 2000 August 2000P 2.4 447.8 119.6 36.9 60.7 39.1 19.4 452.7 122.2 37.3 61.7 38.4 19.4 454.5 122.2 37.6 61.7 38.7 19.7 29.1 15.0 29.4 15.0 61.9 32.3 62.6 32.6 62.2 32.4 104.2 80.0 12.2 109.6 85.1 12.5 110.2 85.8 12.4 505.9 361.2 69.9 520.6 370.8 72.8 522.3 371.7 73.6 252.8 35.9 28.5 32.4 8.5 69.6 10.7 6.6 21.6 1.8 71.4 10.7 6.5 22.2 1.8 71.7 10.7 6.5 22.2 1.8 264.2 42.8 20.5 72.8 7.1 270.3 44.5 20.5 72.6 7.1 271.0 44.7 20.5 72.9 7.2 1.934.9 10.3 31.8 630.0 30.4 120.6 233.8 124.1 50.3 10.6 130.7 75.2 246.8 16.0 32.0 24.4 22.5 40.0 1,948.2 10.3 33.8 630.0 33.5 120.9 233.6 124.6 50.8 10.5 131.0 75.3 247.5 15.9 32.5 27.8 22.7 40.1 727.4 11.2 14.0 235.6 5.7 63.8 48.6 49.4 27.8 5.6 52.4 82.3 28.5 5.0 6.5 13.6 6.5 12.0 752.8 11.4 14.2 244.5 5.9 67.8 50.0 51.4 27.9 5.9 53.6 84.1 29.7 4.9 6.7 13.5 7.1 12.2 755.3 11.4 14.2 246.1 5.9 67.8 50.4 51.6 28.1 5.8 53.6 84.0 29.7 4.9 6.7 13.7 7.1 12.2 3,209.6 44.5 70.1 886.9 36.2 231.6 333.2 231.6 146.0 33.7 256.7 219.6 190.7 39.6 42.9 42.7 41.4 62.0 3,277.7 45.1 70.4 899.8 37.2 232.2 337.6 238.5 149.2 34.4 264.4 226.0 194.6 40.7 43.5 43.9 43.5 63.2 3,285.8 44.9 70.6 901.0 37.5 232.7 338.0 238.2 149.8 34.5 264.7 226.3 194.2 40.7 43.6 44.0 43.7 63.3 204.1 32.6 27.8 90.5 204.8 32.4 28.8 89.8 205.0 32.5 29.0 89.6 138.9 5.1 13.1 98.0 142.1 5.5 13.6 104.0 142.5 5.7 13.5 104.6 511.9 35.5 52.7 272.4 524.9 36.3 53.5 279.1 525.4 38.3 53.7 279.9 266.3 37.0 19.0 90.4 39.2 23.9 25.3 18.0 264.3 36.3 18.7 88.7 40.0 23.3 24.7 18.5 264.4 36.4 18.9 89.0 40.0 23.3 24.4 18.7 76.2 7.0 2.7 26.0 16.1 7.2 10.2 4.0 77.3 7.0 2.9 26.0 16.1 7.3 10.3 4.1 76.7 7.0 2.8 25.6 16.1 7.1 10.2 4.1 361.7 41.9 21.3 123.0 55.1 29.3 44.9 18.3 363.6 42.5 20.9 121.3 54.4 29.7 44.8 18.2 364.4 42.6 20.9 121.3 54.4 29.6 44.8 18.2 Delaware Dover Wilmington-Newark 59.5 5.8 45.8 59.0 6.4 44.4 59.1 6.3 44.3 16.6 1.8 14.6 17.6 1.8 14.6 16.8 1.6 14.0 93.2 12.9 65.8 95.0 13.4 67.6 94.7 13.3 67.6 District of Columbia Washington PMSA 12.0 99.8 12.0 100.3 12.0 100.5 17.0 127.7 17.8 132.8 16.2 126.8 47.3 483.2 49.1 493.7 48.7 493.3 484.9 12.3 37.8 7.0 5.5 39.3 20.4 25.8 69.2 52.3 9.5 22.0 4.8 89.0 32.4 487.2 12.9 36.5 7.1 5.6 40.0 19.7 25.5 69.2 52.6 9.4 22.4 4.7 90.8 32.6 488.3 12.9 36.7 7.2 5.5 39.9 19.8 25.5 69.3 52.7 9.4 22.7 4.5 90.8 33.3 348.0 5.7 32.2 7.7 2.4 37.6 9.1 5.9 88.8 44.3 7.7 5.3 3.8 52.2 15.9 358.5 6.2 34.4 8.2 2.5 37.6 9.5 6.5 89.7 45.4 8.1 5.4 3.7 54.6 16.3 358.9 6.2 34.4 8.2 2.5 37.8 9.4 6.5 89.8 45.4 8.1 5.4 3.7 54.6 16.5 1,704.9 42.7 181.3 45.5 24.2 130.9 50.2 45.3 260.9 214.5 39.1 59.4 30.5 262.3 114.6 1,740.1 43.3 184.6 46.6 23.5 132.6 52.1 47.1 262.7 225.5 39.8 61.3 31.4 263.2 119.4 1,749.6 43.5 185.1 46.8 23.9 133.1 52.5 47.4 264.0 226.6 39.9 61.5 31.7 264.5 119.9 Alabama Birmingham Huntsville Mobile Montgomery Tuscaloosa , Alaska Anchorage Arizona Phoenix-Mesa Tucson Arkansas Fayetteville-Springdale- Rogers Fort Smith Little Rock-North Little Rock Pine Bluff California Bakersfield Fresno Los Angeles-Long Beach Modesto Oakland Orange County Riverside-San Bernardino Sacramento Salinas San Diego San Francisco San Jose Santa Barbara-Santa Maria-Lompoc Santa Rosa Stockton-Lodi Vallejo-Fairfield-Napa Ventura Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury Florida Daytona Beach Fort Lauderdale Fort Myers-Cape Coral Gainesville Jacksonville Lakeland-Winter Haven Melbourne-Titusville-Palm Bay Miami Orlando Pensacola Sarasota-Bradenton Tallahassee Tampa-St. Petersburg-Clearwater.... West Palm Beach-Boca Raton See footnotes at end of table. 79 in ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Finance, insurance, and real estate Services Government State and area August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P Alabama Birmingham Huntsville Mobile Montgomery Tuscaloosa 92.2 38.3 5.0 10.4 10.7 2.6 93.5 39.9 5.1 10.6 10.9 2.5 93.2 39.8 5.1 10.6 10.9 2.5 461.6 145.0 53.5 65.2 44.9 14.6 468.4 147.5 54.4 65.1 45.8 15.0 470.1 148.3 54.4 65.6 45.8 15.1 338.5 64.0 39.1 33.8 36.8 21.0 343.7 68.4 39.1 35.0 36.6 20.3 342.4 67.2 38.8 34.2 36.1 20.9 Alaska Anchorage 13.3 7.8 13.2 7.8 13.3 7.8 76.0 39.3 78.4 40.8 78.2 40.7 70.0 27.0 71.1 27.2 71.4 27.5 140.9 119.9 13.2 146.5 124.9 13.8 146.6 125.0 13.9 684.5 496.8 113.0 724.9 528.3 118.6 725.5 529.2 118.7 317.5 165.8 66.9 329.3 169.7 70.9 340.7 176.4 72.4 46.4 5.6 3.2 18.4 1.2 47.5 5.8 3.2 18.3 1.2 47.6 5.8 3.2 18.4 1.2 273.2 30.0 27.8 93.7 8.8 281.1 31.5 27.4 94.4 8.7 282.3 31.8 27.3 94.0 8.7 176.7 18.1 9.8 58.0 7.6 178.0 18.7 9.8 57.4 7.5 182.4 19.1 10.1 58.3 7.7 California Bakersfield Fresno Los Angeles-Long Beach Modesto Oakland Orange County Riverside-San Bernardino Sacramento Salinas San Diego San Francisco San Jose Santa Barbara-Santa Maria-Lompoc Santa Rosa Stockton-Lodi Vallejo-Fairfield-Napa Ventura 826.2 7.4 14.2 234.3 4.6 57.9 106.2 32.0 50.5 6.5 69.1 108.6 33.0 7.5 10.4 8.6 6.7 14.9 836.2 7.3 14.4 237.0 4.6 55.6 107.1 33.0 51.1 6.7 69.0 107.5 33.4 7.9 10.3 8.9 6.9 14.9 838.1 7.3 14.3 237.5 4.6 55.7 107.2 33.1 51.3 6.7 68.9 107.9 33.6 7.9 10.3 8.9 6.8 15.0 4,416.5 48.4 79.8 1,320.9 37.4 307.9 421.2 247.8 195.3 36.0 387.7 394.7 335.6 50.6 52.2 44.9 46.0 77.2 4,584.3 48.6 76.6 1,354.8 38.8 313.0 434.9 261.6 200.2 37.4 391.6 401.0 346.6 51.7 52.6 45.6 46.2 79.5 4,585.3 48.6 77.4 1,356.6 39.0 314.2 436.0 260.9 200.2 37.5 391.8 401.5 346.4 51.7 53.0 46.1 46.2 79.3 2,124.3 46.2 65.9 535.6 22.7 165.1 131.4 177.3 176.1 29.7 184.7 121.9 87.4 30.7 23.0 34.2 32.7 41.2 2,224.1 46.2 69.4 566.3 25.7 167.0 139.3 183.9 180.1 29.9 193.5 130.0 92.5 32.4 24.1 35.4 33.2 43.5 2,196.3 46.0 68.2 551.2 25.8 166.8 136.7 178.7 181.9 29.9 190.0 130.4 90.2 31.9 24.6 35.6 33.5 41.5 Colorado Boulder-Longmont Colorado Springs Denver 142.6 6.8 13.9 93.7 140.7 6.8 14.2 92.1 141.4 6.9 14.1 91.9 666.2 57.1 79.6 360.4 683.0 60.1 81.5 374.3 680.6 59.9 81.7 373.9 310.3 23.5 34.6 143.5 322.8 24.3 34.9 148.5 320.5 23.9 33.8 148.3 Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury 142.1 11.7 5.4 74.1 13.1 3.8 27.5 3.9 143.1 11.9 5.9 73.2 12.6 3.8 28.7 4.1 143.0 12.0 5.9 73.2 12.6 3.8 28.8 4.1 533.5 60.8 26.2 180.4 92.5 36.6 79.2 27.7 549.6 61.7 26.7 184.0 94.2 37.9 81.4 26.4 545.8 61.2 26.4 182.5 92.2 37.4 81.4 26.8 218.6 20.3 9.0 90.3 31.0 36.5 17.5 12.7 228.9 22.2 10.0 91.8 33.0 37.4 18.3 13.2 222.8 20.7 9.3 89.7 31.9 37.0 17.4 12.6 Delaware Dover Wilmington-Newark 49.9 2.0 43.3 51.6 2.0 44.8 51.8 2.1 44.7 119.0 13.5 95.2 122.4 14.9 98.2 122.5 14.6 98.3 52.6 15.5 36.8 56.7 16.3 39.7 55.1 16.2 37.8 District of Columbia Washington PMSA 31.3 146.9 31.8 148.6 31.9 148.3 273.4 1,060.9 276.3 1,108.3 275.4 1,105.0 224.1 574.3 230.4 589.8 229.3 579.8 Florida Daytona Beach Fort Lauderdale Fort Myers-Cape Coral Gainesville Jacksonville Lakeland-Winter Haven Melbourne-Titusville-Palm Bay Miami Orlando Pensacola Sarasota-Bradenton Tallahassee Tampa-St. Petersburg-Clearwater... West Palm Beach-Boca Raton 450.0 6.9 49.7 9.3 5.4 56.5 8.5 6.2 66.8 60.0 6.0 11.7 6.8 84.6 33.8 463.4 6.8 50.7 9.6 5.5 57.3 8.8 6.3 69.3 63.2 6.3 11.8 7.1 87.1 34.0 463.2 6.9 50.9 9.5 5.5 56.9 8.9 6.3 69.3 63.5 6.3 11.8 7.1 87.5 34.0 2,540.0 57.1 233.5 50.8 36.9 179.3 51.4 65.7 331.1 375.2 54.8 128.2 44.2 475.4 186.4 2,701.4 58.6 243.4 52.8 38.3 193.8 54.1 69.6 339.8 397.4 58.5 139.7 46.0 513.3 195.9 2,719.7 58.6 244.5 53.1 38.4 194.4 54.3 70.4 341.3 398.8 59.4 140.0 46.1 516.6 196.3 887.1 21.5 77.7 23.9 36.9 59.4 23.5 23.1 130.1 79.5 26.1 21.1 56.9 124.8 50.6 923.8 22.5 82.5 25.0 38.4 60.6 25.0 24.5 136.6 83.7 26.5 22.1 57.1 130.2 52.7 906.2 22.0 80.4 24.4 38.9 59.2 24.0 24.3 134.6 81.7 26.0 21.5 56.8 128.6 51.5 Arizona Phoenix-Mesa Tucson Arkansas Fayetteville-Springdale-Rogers Fort Smith Little Rock-North Little Rock Pine Bluff See footnotes at end of table. 80 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Total Construction Mining State and area August 1999 July 2000 August 2000P August 1999 August 2000P July 2000 August 1999 July 2000 August 2000P (1) (1) (1) 203.4 3.9 3.0 116.8 13.6 5.7 7.1 8.4 540.1 401.1 (1) (1) (M (1) (1) (1) 21.7 16.0 24.1 17.6 24.0 17.3 562.6 221.7 565.7 222.2 (1) 5,972.2 87.2 99.3 4,200.2 186.6 59.8 43.4 176.1 181.5 119.3 6,036.8 86.9 101.0 4,253.8 187.4 60.9 43.9 175.9 182.0 114.1 6,018.6 87.4 100.7 4,236.8 186.9 60.5 43.9 175.7 178.5 119.1 Indiana Bloomington Elkhart-Goshen Evansville-Henderson Fort Wayne Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute 2,957.3 62.8 126.9 161.1 271.9 267.9 871.4 53.2 92.4 56.7 135.8 67.1 2,975.4 62.7 126.5 162.2 274.6 271.4 883.1 54.2 93.8 58.4 135.7 67.7 2,978.7 62.4 127.1 162.6 275.6 271.7 884.5 54.2 93.2 58.0 136.9 67.3 Iowa Cedar Rapids Des Moines Dubuque Iowa City Sioux City Waterloo-Cedar Falls 1,456.9 121.1 284.6 52.0 69.0 66.5 71.0 1,486.1 121.2 284.0 51.5 68.7 66.1 71.8 1,484.1 121.4 283.5 51.8 68.8 66.0 71.8 Kansas Lawrence Topeka Wichita 1,312.4 45.3 100.1 280.7 1,340.0 47.2 100.9 281.5 1,338.3 47.4 100.3 280.6 1.0 Kentucky Lexington Louisville Owensboro 1,800.9 283.8 582.1 45.7 1,834.4 289.3 593.7 46.9 1,843.7 290.8 596.0 47.0 21.5 .3 .7 .3 21.0 .3 .6 .2 Louisiana Alexandria Baton Rouge Houma Lafayette Lake Charles Monroe New Orleans Shreveport-Bossier City 1,885.2 57.7 299.1 75.8 163.5 87.9 71.8 611.4 174.4 1,900.2 58.3 307.1 76.3 163.8 87.4 72.5 620.2 176.8 1,897.7 58.0 304.8 75.9 164.6 87.3 72.4 618.5 176.7 45.7 .1 1.0 5.6 12.1 1.3 .2 12.8 2.1 46.8 .1 1.0 6.0 12.4 1.4 .2 12.3 2.4 595.2 43.8 149.7 606.6 44.3 155.1 607.4 44.8 152.8 3,912.2 59.1 73.4 2,167.5 202.8 121.9 151.5 137.9 3,994.2 59.7 72.9 2,234.3 206.1 125.8 154.9 138.6 4,009.8 59.6 75.1 2,241.0 206.3 125.7 155.8 139.4 Hawaii Honolulu 533.4 396.8 540.9 402.5 Idaho Boise City 548.7 212.4 Georgia Albany Athens Atlanta Augusta-Aiken Columbus Macon Savannah Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island .. Decatur Kankakee Peoria-Pekin Rockford Springfield Maine Lewiston-Auburn Portland See footnotes at end of table. 81 8.1 (2) (1) 1.8 .3 1 1.9 .3 ( ) ( ) 1.0 1.0 10.8 1.9 (1) (1) (M (1) <;> (1> 1.0 2.6 38.9 16.2 41.1 16.9 42.1 17.3 10.9 (1) 1 ( ) 1.9 (1) 1 ( ) (1) (1) (1) (1) 10.9 (1) 1 ( ) 1.8 (1) 271.4 4.0 4.3 185.8 10.3 3.9 2.3 8.4 8.2 5.6 274.2 4.0 4.2 188.1 10.5 4.0 2.3 8.7 8.2 5.5 273.1 4.1 4.1 188.2 10.5 3.9 2.3 8.5 8.2 5.4 156.8 3.4 5.4 11.4 14.6 17.7 51.1 2.0 4.3 2.7 8.1 3.7 159.0 3.4 5.8 11.4 15.1 18.4 53.9 2.2 4.4 2.8 7.8 3.8 156.6 3.3 5.7 11.2 15.0 18.2 54.0 2.2 4.3 2.8 8.2 3.7 2.3 72.4 6.9 14.7 2.3 2.8 3.5 3.1 77.2 6.4 14.3 2.2 2.9 3.5 3.0 77.3 6.6 14.4 2.2 2.9 3.5 3.0 6.6 1.1 69.6 2.6 5.3 16.1 74.0 2.8 5.2 16.2 73.7 2.9 5.2 16.1 20.9 .3 .6 .2 91.5 15.3 31.9 3.5 92.8 16.1 33.1 3.5 92.4 16.1 33.0 3.6 46.9 .1 1.0 6.1 12.5 1.4 .2 12.3 2.4 129.3 4.1 35.7 4.4 9.7 11.2 4.0 32.0 9.5 131.4 4.4 37.7 4.3 9.6 11.2 3.8 32.1 9.3 132.0 4.4 38.0 4.3 9.7 10.9 3.7 32.0 9.3 .1 30.9 1.8 7.4 33.1 1.8 8.1 33.6 1.8 8.0 (M (11) (1) (1) () 6.2 7.0 6.2 (]) (1) 1.0 (1) (1) (1) (1) (M (1) (1) (1) .7 2.2 1 2.3 ) ) 1.1 6.6 (1) (1) (1) (1) .1 .1 (2) (2) (1) (1) (1) (1) (1) (1) 0) (1) 6.4 1 1 .7 (1) (1) (1) (1) (2) (1) (1) (1) (1) ) 1 ) 1 ) 1 ) 1 ) 1 ) 1.0 .8 (1) (1) (1) (1) (2) ) ) 1 ) 1 ) ( 2) 1 204.1 3.8 3.4 122.6 13.4 6.2 7.7 8.2 (1) 2.6 (]) (1) 1.1 1 202.3 3.6 3.3 122.0 13.2 6.1 7.7 8.0 (1) 2.7 (1) (1) 1.9 .3 1 1 ( ) 7.8 7.8 (2) (1) <2) (1) (2) (2) (2) (2) ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Manufacturing Transportation and public utilities Wholesale and retail trade State and area August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P 601.5 8.2 12.0 227.1 29.4 21.1 19.3 18.1 602.0 8.2 12.0 226.4 29.3 22.2 18.8 18.1 606.4 8.1 11.9 229.3 29.1 22.3 18.8 18.1 260.0 3.7 1.9 185.3 18.6 4.4 6.1 9.3 266.4 3.6 2.0 191.9 19.1 4.5 6.3 9.2 267.5 3.6 2.0 193.0 19.1 4.6 6.2 9.3 978.8 13.8 17.3 569.4 43.1 26.6 35.3 35.6 1,013.1 13.9 16.6 587.9 44.5 27.3 36.1 36.1 1,018.9 13.9 16.8 591.0 44.6 27.2 36.1 36.0 Hawaii Honolulu 16.7 12.8 16.9 13.2 16.7 13.0 41.1 32.1 41.6 32.2 41.4 32.0 133.0 96.7 135.4 98.5 135.2 98.3 Idaho Boise City 78.5 37.2 77.4 37.6 76.5 37.5 27.2 11.1 27.4 11.4 27.5 11.4 138.1 51.4 141.2 54.4 143.2 55.4 957.2 9.0 12.1 638.5 30.8 14.2 7.0 33.6 52.1 4.4 954.4 8.8 12.2 640.1 31.4 14.1 7.1 33.9 51.7 4.5 952.5 8.9 12.5 640.4 31.3 14.2 7.2 33.6 48.8 4.5 344.4 3.0 3.4 256.6 10.8 5.4 2.4 10.2 9.4 4.6 350.9 3.0 3.6 261.0 10.6 5.3 2.4 10.1 8.9 4.6 351.2 3.0 3.6 261.2 10.6 5.2 2.4 10.1 9.0 4.6 1,349.0 17.8 21.0 930.5 49.3 12.8 11.3 41.5 37.9 25.2 1,355.8 18.1 21.7 940.1 48.9 13.5 11.5 41.5 38.4 23.0 1,353.0 18.1 21.6 936.3 49.1 13.4 11.5 41.7 37.9 25.0 Indiana Bloomington Elkhart-Goshen Evansville-Henderson Fort Wayne Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute 694.3 9.3 65.2 31.6 75.1 49.1 128.8 21.2 23.2 9.8 23.0 12.3 692.6 9.6 65.5 32.5 73.0 47.2 130.8 20.6 23.5 10.2 22.9 12.7 694.2 9.5 65.6 32.5 73.9 47.3 131.0 20.3 23.5 10.2 23.0 12.7 147.8 1.7 3.0 7.5 14.1 15.5 54.4 1.1 2.5 3.6 5.4 3.0 146.1 1.8 3.0 7.1 14.1 15.4 53.7 1.3 2.6 3.7 5.4 3.0 147.0 1.8 3.0 7.5 14.3 15.6 53.9 1.3 2.6 3.8 5.4 3.0 708.9 15.2 24.0 39.5 65.5 65.1 225.1 11.6 19.3 13.4 35.0 19.5 707.2 15.3 23.0 39.5 66.9 66.1 230.3 11.6 19.3 13.5 34.9 19.5 708.1 15.0 23.1 39.7 67.1 66.4 230.0 11.6 19.5 13.3 35.0 19.5 Iowa Cedar Rapids Des Moines Dubuque Iowa City Sioux City Waterloo-Cedar Falls 263.0 22.1 24.6 11.9 5.7 13.7 14.5 265.0 22.4 23.9 11.4 5.7 13.4 15.0 264.7 22.2 23.8 11.4 72.5 11.9 15.0 1.8 5.5 2.6 13.4 15.0 3.9 2.7 74.1 12.1 15.9 1.7 2.6 4.0 2.6 74.3 12.2 16.0 1.7 2.5 3.9 2.6 360.4 26.8 73.6 13.0 14.4 16.4 17.3 363.6 26.6 73.6 13.2 14.3 16.3 17.3 364.0 26.6 73.6 13.3 14.1 16.3 17.2 Kansas Lawrence Topeka Wichita 212.0 5.4 10.0 72.4 212.7 5.7 10.1 71.8 212.5 5.7 10.1 71.9 78.7 1.5 5.7 10.9 79.9 1.4 5.2 11.0 80.7 1.5 5.2 10.9 319.2 11.8 21.8 63.3 323.3 12.5 21.6 62.9 322.8 12.4 21.6 62.6 Kentucky 320.9 48.9 88.2 7.0 318.5 49.0 86.3 6.8 318.8 49.3 86.1 6.9 106.1 11.5 45.1 2.2 108.5 12.0 47.3 2.3 109.0 12.0 47.6 2.2 429.9 64.1 141.1 11.4 436.6 66.2 143.3 11.9 438.5 66.0 144.2 11.7 189.3 3.7 24.3 8.1 15.1 11.4 8.1 49.8 18.9 186.4 3.9 24.4 7.8 14.9 11.4 8.2 48.4 18.6 186.8 3.9 24.4 7.9 14.7 11.3 8.3 48.9 18.5 112.8 3.4 14.2 8.3 9.7 4.6 3.9 40.6 8.2 114.2 3.4 14.1 8.6 9.2 4.5 3.8 41.3 8.4 114.4 3.4 14.1 8.6 9.3 4.4 3.8 41.2 8.5 443.7 13.3 70.4 18.4 42.8 19.1 17.5 152.3 40.1 440.8 13.6 71.0 18.6 43.7 19.2 17.8 152.1 40.1 441.0 13.6 70.8 18.5 43.9 19.3 17.7 152.1 40.1 86.8 8.0 14.7 84.1 7.6 15.7 86.6 7.9 15.0 24.3 1.9 6.9 25.1 2.0 7.7 23.6 1.9 7.1 155.2 11.2 42.7 158.6 11.0 43.6 158.8 11.3 43.8 Georgia Albany Athens Atlanta Augusta-Aiken Columbus Macon Savannah Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock island Decatur Kankakee Peoria-Pekin Rockford Springfield Lexington Louisville Owensboro Louisiana Alexandria Baton Rouge Houma Lafayette Lake Charles Monroe New Orleans Shreveport-Bossier City Maine Lewiston-Auburn Portland See footnotes at end of table. 82 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Finance, insurance, and real estate Services Government State and area August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P 203.8 1.7 2.3 137.6 6.0 8.3 8.7 4.6 207.6 1.8 2.4 140.2 5.9 8.1 9.8 4.6 207.9 1.8 2.5 140.2 5.9 8.1 9.8 4.6 1,086.4 15.6 17.4 678.1 51.8 34.4 40.8 41.8 1,110.0 15.6 18.3 703.9 53.6 35.8 42.0 41.9 1,115.0 15.6 18.3 705.7 53.5 35.5 42.2 42.0 570.2 12.2 19.5 251.4 40.0 21.4 33.2 20.1 585.0 13.0 18.3 260.1 40.2 21.8 33.2 20.7 582.2 12.8 20.2 257.3 40.4 21.8 34.0 21.2 Hawaii Honolulu 35.2 28.1 34.6 27.6 34.7 27.5 175.0 123.3 178.6 126.5 Ml.7 125.9 110.7 87.8 109.7 86.9 110.4 87.1 Idaho Boise City 23.8 11.3 23.6 11.6 23.7 11.7 138.4 54.8 145.5 58.2 146.3 58.3 101.1 30.4 103.8 31.6 103.8 30.6 Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island Decatur Kankakee Peoria-Pekin Rockford Springfield 410.3 18.3 4.0 316.9 8.1 2.1 1.8 8.2 7.4 7.6 412.3 18.8 3.9 315.4 8.2 2.1 1.8 8.3 7.5 7.8 411.3 18.8 4.0 315.6 8.2 2.1 1.9 8.3 7.5 7.8 1,839.3 22.4 22.8 1,387.1 52.7 15.2 12.0 55.1 48.6 37.7 1,873.2 23.0 22.9 1,415.6 52.8 15.5 12.2 55.0 49.3 35.7 1,867.5 23.1 23.0 1,406.0 52.6 15.5 12.2 55.0 49.6 38.0 789.8 12.7 31.7 482.9 24.6 6.2 6.6 19.1 17.9 34.2 805.1 11.2 32.5 491.6 25.0 6.4 6.6 18.4 18.0 33.0 799.1 11.4 31.9 487.3 24.6 6.2 6.4 18.5 17.5 33.8 Indiana Bloomington Elkhart-Goshen Evansville-Henderson Fort Wayne Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute 144.2 2.5 3.2 7.7 14.4 9.4 65.9 1.6 3.9 1.9 6.9 2.4 144.3 2.5 3.2 7.8 15.0 9.6 66.8 1.6 4.1 1.9 6.8 2.4 144.3 2.5 3.2 7.9 15.0 9.6 66.9 1.6 4.1 1.9 6.9 2.3 733.8 14.2 19.2 46.7 66.5 77.1 243.3 9.4 19.2 16.3 44.4 16.4 743.0 14.8 19.1 47.3 67.2 79.0 244.3 9.8 19.1 16.4 45.2 16.5 745.6 14.8 19.3 47.4 67.3 79.4 244.4 10.1 19.5 16.4 45.0 16.3 364.5 16.5 6.9 15.6 21.7 34.0 102.1 6.3 20.0 9.0 13.0 9.8 377.0 15.3 6.9 15.6 23.3 35.7 102.5 7.1 20.8 9.9 12.7 9.8 376.7 15.5 7.2 15.4 23.0 35.2 103.6 7.1 19.7 9.6 13.4 9.8 Iowa Cedar Rapids DesMoines Dubuque Iowa City Sioux City Waterloo-Cedar Falls 85.9 6.9 40.5 1.9 2.6 2.9 3.1 87.1 7.5 39.1 2.0 2.5 2.7 3.0 87.1 7.5 39.1 2.0 2.5 2.7 3.0 381.6 35.7 82.3 17.6 14.8 18.8 20.0 392.1 36.2 82.4 17.8 15.2 18.9 20.3 392.3 36.2 82.0 18.1 14.8 18.9 20.3 218.9 10.8 33.9 3.5 26.1 7.3 10.3 224.7 10.0 34.8 3.2 25.5 7.3 10.6 222.1 10.1 34.6 3.1 26.5 7.3 10.7 Kansas Lawrence Topeka Wichita 63.6 2.0 6.7 11.8 64.5 1.9 6.6 11.7 64.4 1.8 6.6 11.7 345.4 11.7 30.5 76.1 354.6 11.2 31.6 76.4 354.7 11.3 31.3 76.2 217.5 10.3 20.1 29.0 224.4 11.7 20.6 30.5 222.9 11.8 20.3 30.1 Kentucky Lexington Louisville Owensboro 71.7 10.3 30.5 1.9 72.7 10.5 30.8 2.0 72.6 10.4 30.6 1.9 472.5 81.1 173.4 11.7 486.7 83.8 179.9 12.2 490.0 83.8 181.1 12.3 286.8 52.3 71.2 7.7 297.6 51.4 72.4 8.0 301.5 52.9 72.8 8.2 Louisiana Alexandria Baton Rouge Houma Lafayette Lake Charles Monroe New Orleans Shreveport-Bossier City 85.5 2.6 16.8 2.1 6.3 2.5 5.7 30.9 6.5 85.0 2.6 16.4 2.0 6.4 2.5 5.8 30.9 6.5 85.0 2.6 16.4 2.0 6.3 2.5 5.8 31.0 6.5 523.1 17.3 78.5 15.0 43.8 25.0 20.0 193.7 57.3 534.6 17.1 80.5 14.6 43.5 24.1 20.3 200.4 59.2 535.6 17.0 80.3 14.7 44.3 24.7 20.4 198.9 59.5 355.8 13.2 58.2 13.9 24.0 12.8 12.4 99.3 31.8 361.0 13.2 62.0 14.4 24.1 13.1 12.6 102.7 32.3 356.0 13.0 59.8 13.8 23.9 12.8 12.5 102.1 31.9 Maine Lewiston-Aubum Portland 31.4 2.4 14.0 31.1 2.6 13.6 31.2 2.6 13.4 184.0 14.6 47.4 188.7 15.1 48.5 189.2 15.1 48.3 82.5 3.9 16.6 85.8 4.2 17.9 84.3 4.2 17.2 Georgia Albany Athens Atlanta Augusta-Aiken Columbus Macon Savannah See footnotes at end of table. 83 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Total Mining Construction State and area August 1999 July 2000 August 2000P August 1999 Maryland Baltimore PMSA Baltimore City Suburban Maryland-D.C 2,368.7 1,205.0 404.1 878.9 2,428.0 1,221.1 412.9 914.6 2,416.8 1,215.6 412.2 907.6 Massachusetts Barnstable-Yarmouth Boston Brockton Fitchburg-Leominster Lawrence Lowell New Bedford Pittsfield Springfield Worcester 3,240.1 69.6 1,987.1 98.4 52.0 158.2 122.0 64.8 43.7 253.5 227.6 3,293.9 72.4 2,023.1 100.0 51.1 161.5 123.6 66.3 44.4 255.7 230.9 3,278.6 71.0 2,015.3 100.1 51.1 160.7 122.1 65.6 44.1 256.0 229.7 Michigan3 Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland 4,513.3 275.0 72.7 2,120.0 170.1 576.6 62.0 212.5 230.0 180.4 4,537.5 279.3 73.9 2,149.6 168.0 586.1 63.6 214.5 234.4 181.7 4,547.1 280.7 74.2 2,157.7 168.8 588.6 64.1 215.3 234.6 182.4 Minnesota Duluth-Superior Minneapolis-St. Paul Rochester St. Cloud 2,619.3 114.9 1,708.1 82.0 89.8 2,656.0 116.9 1,723.9 83.6 92.9 2,663.7 116.5 1,728.9 83.7 92.6 (2) (1) (1) Mississippi Jackson 1,159.8 232.2 1,145.2 230.0 1,145.0 228.2 (2) Missouri Kansas City St. Louis Springfield 2,706.7 964.8 1,320.5 163.5 2,737.9 980.6 1,336.8 168.3 2,753.4 982.4 1,334.1 167.5 (1) (1) (1) July 2000 1.4 .4 1 August 2000P 1.4 .4 1 ( ) (1) .6 (2) (2) (2) (1) (2) O (2) 1.5 128.3 3.1 73.6 4.6 2.0 7.0 5.7 2.8 2.1 9.7 8.4 13S.7 3.5 78.5 4.9 2.0 7.4 5.8 3.0 2.1 10.7 9.3 136.8 3.4 79.6 4.9 2.0 7.5 5.6 3.0 2.2 10.8 9.4 207.5 12.1 2.7 88.3 7.9 29.5 3.1 9.7 9.9 10.6 212.7 12.3 2.7 89.5 8.6 30.4 3.3 10.0 10.2 10.9 211.3 12.4 2.7 89.0 8.4 30.3 3.3 9.9 10.3 11.0 7.6 4.6 127.6 5.7 80.7 3.5 4.5 128.3 5.3 82.6 3.8 5.1 129.8 5.5 82.8 3.8 5.1 6.3 56.6 11.7 54.0 11.0 53.9 10.7 5.3 148.0 54.8 79.0 8.3 147.8 55.7 80.6 8.7 151.2 55.7 82.7 8.6 (M .1 .1 .2 6.9 .1 .1 .2 7.2 7.3 (1) (1) (1) (1) 1.0 1.0 1.0 (1) (1) <;> <1) (1) (1) (1) (1) (M (1) (M (1) 7.0 4.2 (1) (1) (1) (1) (1) (1) 7.7 4.7 (2) (1) (1) 5.0 (2) (1) (1) 6.2 (2) 5.3 .6 (2) (2) (2) (1) (2) .1 .1 .2 <;> (1) 162.9 75.7 15.8 70.9 (M (1) (2) (2) (2) 162.9 76.2 16.3 71.3 1.5 .5 (2) 5.3 (1) (1) (1) August 2000P 157.1 74.0 14.8 67.1 ( ) 1.4 July 2000 1.5 .4 1 ( ) (1) (1) August 1999 (1) (M (1) 387.2 393.7 395.2 5.3 4.8 5.0 22.1 22.8 23.1 889.9 155.5 419.2 886.1 155.8 417.5 1.3 1.3 1.3 Lincoln Omaha 891.5 153.6 418.2 46.5 7.9 22.9 46.4 8.3 22.9 46.0 8.3 23.0 Nevada Las Vegas Reno 993.1 719.3 189.0 1,027.9 743.6 197.1 1,037.0 752.6 198.3 11.2 1.8 .4 92.0 71.7 14.8 93.9 73.4 15.5 94.9 74.0 15.8 New Hampshire Manchester Nashua Portsmouth-Rochester 607.7 101.8 95.2 121.0 612.8 104.3 95.5 121.9 611.4 103.9 95.7 122.8 .5 25.9 5.2 3.2 4.4 27.6 5.5 3.6 4.2 27.5 5.4 3.6 4.3 3,882.8 199.0 664.1 492.6 247.6 629.2 390.1 982.2 197.7 58.6 3.943.3 201.2 667.3 496.9 251.2 644.7 395.7 1,004.4 201.6 58.9 3,930.4 202.1 665.3 496.8 251.3 641.8 393.6 999.5 200.9 58.2 2.1 .3 144.3 6.4 24.7 24.4 5.5 21.3 19.5 35.1 5.0 2.2 151.3 7.1 25.8 24.5 5.7 21.7 20.3 36.5 5.3 2.3 152.7 7.2 25.9 24.9 6.0 21.9 20.1 36.7 5.3 2.3 734.1 345.4 55.0 75.8 742.0 355.4 54.2 76.8 746.6 356.4 56.9 76.6 14.4 (1) (\) (1) 45.3 22.8 3.5 4.5 45.7 23.3 3.6 4.4 46.3 23.6 3.6 4.5 Montana New Jersey Atlantic-Cape May Bergen-Passaic Camden Jersey City Middlesex-Somerset-Hunterdon .. Monmouth-Ocean Newark Trenton Vineland-Millville-Bridgeton New Mexico Albuquerque Las Cruces Santa Fe See footnotes at end of table. 84 (M (1) (1) (1) (M (1) 11.9 1.8 .4 11.2 1.8 .4 .5 (1) (1) (1) .5 (1) (1) (1) 2.2 <;> (1) < > (1) (1) (1) (1) 2.1 (]) (1) <;> .5 1 (M (11) () .6 (M (1) .6 (1) ( ) 1.0 (1) 1.0 (1) .3 13.6 (1) (J) (1) 14.1 (1) (1) (1) 1.0 (1) ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Manufacturing Transportation and public utilities Wholesale and retail trade State and area August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P Maryland Baltimore PMSA Baltimore City Suburban Maryland-D.C 177.4 97.8 29.3 40.3 177.7 96.3 29.1 42.1 177.0 95.5 29.0 42.2 112.2 59.1 18.8 37.9 116.1 60.3 18.0 39.4 108.1 56.0 16.3 36.5 557.8 278.4 62.1 202.6 568.2 282.8 64.5 207.0 569.8 282.7 64.7 206.7 Massachusetts Barnstable-Yarmouth Boston Brockton Fitchburg-Leominster Lawrence Lowell New Bedford Pittsfield Springfield Worcester 432.1 2.6 211.1 11.3 12.9 39.3 27.6 13.1 7.3 38.1 39.3 427.0 2.9 209.1 11.2 12.4 38.9 27.5 12.5 7.2 38.3 38.5 431.1 2.9 211.0 11.7 12.5 39.2 27.3 12.5 7.1 38.8 38.2 136.7 3.3 85.8 4.7 1.8 5.4 6.9 3.5 1.4 9.9 9.8 137.9 3.3 86.4 4.6 1.8 5.5 6.7 3.2 1.5 10.0 10.2 126.3 3.0 79.9 4.1 1.5 4.7 5.8 3.0 1.3 9.2 9.4 752.9 25.7 429.0 32.8 13.0 37.2 28.1 17.0 10.5 61.4 52.6 753.5 26.6 431.9 33.0 12.8 38.3 29.0 17.6 10.6 63.3 52.9 754.3 26.3 432.5 33.2 13.0 38.6 29.0 17.5 10.8 63.5 53.2 Michigan3 Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland 984.2 54.4 19.6 449.0 34.2 160.8 12.2 49.1 28.7 40.0 959.9 55.3 19.5 443.5 31.1 162.3 12.4 48.4 28.4 38.8 974.8 55.8 19.6 452.2 30.7 163.8 12.5 48.6 28.8 39.1 177.9 6.4 3.3 95.4 5.9 20.8 3.7 7.7 6.7 6.6 179.4 6.6 3.6 96.6 5.7 21.4 3.8 7.8 6.8 6.8 179.3 6.6 3.6 96.9 5.9 21.4 3.7 7.7 6.8 6.8 1,071.6 56.3 16.6 491.1 44.7 146.6 16.0 48.8 52.5 46.3 1,081.8 56.8 16.7 504.1 45.1 150.2 16.1 49.8 52.9 47.3 1,085.5 57.4 16.8 503.7 45.5 150.7 16.4 50.2 53.4 47.5 Minnesota Duluth-Superior Minneapolis-St. Paul Rochester St. Cloud 447.4 8.1 279.4 13.3 17.3 442.9 8.5 280.0 11.7 17.5 446.0 8.5 282.1 11.9 17.5 129.2 8.3 93.7 2.4 3.3 131.1 8.3 94.1 2.4 3.4 131.6 8.3 94.6 2.3 3.5 626.2 28.7 403.3 15.2 27.0 637.1 28.4 402.7 15.4 26.8 640.3 28.5 404.2 15.3 26.9 Mississippi Jackson 245.2 20.6 240.8 20.2 240.0 20.4 56.2 17.4 58.1 18.3 58.0 18.2 254.2 55.9 248.0 53.7 247.8 53.3 Missouri Kansas City St. Louis Springfield 411.2 108.0 189.3 23.1 399.6 106.7 186.7 23.2 402.9 110.5 184.6 23.5 170.4 80.3 86.7 11.9 168.1 81.6 84.4 12.6 169.0 81.7 84.7 12.8 646.9 235.1 315.8 47.5 649.3 238.1 321.9 44.9 651.4 238.5 322.6 44.8 Montana 25.0 25.0 25.0 22.0 22.6 22.5 105.3 105.9 106.3 Nebraska Lincoln Omaha 117.2 18.3 39.8 117.8 18.3 40.3 117.0 18.3 40.0 57.6 9.3 31.5 57.9 9.5 31.9 58.0 9.4 31.8 216.7 32.0 101.5 212.7 31.9 101.1 211.5 31.9 101.0 42.5 23.5 13.3 44.1 24.2 14.0 44.2 24.4 14.0 52.3 38.4 12.3 54.8 40.5 13.0 55.1 40.9 12.9 204.7 150.7 43.6 213.4 156.9 45.3 215.7 158.7 45.6 New Hampshire Manchester Nashua Portsmouth-Rochester 106.2 14.8 27.3 18.3 104.5 15.3 27.4 17.9 105.3 15.7 27.5 18.3 21.1 6.1 3.0 3.8 20.8 6.5 3.1 3.7 19.4 5.7 3.1 3.4 165.2 24.8 25.0 34.1 165.8 25.6 24.5 35.2 166.0 25.6 24.7 35.4 New Jersey Atlantic-Cape May Bergen-Passaic Camden Jersey City Middlesex-Somerset-Hunterdon ... Monmouth-Ocean Newark Trenton Vineland-Millville-Bridgeton 465.8 6.0 103.3 54.7 27.1 89.1 20.3 132.5 16.5 12.8 457.9 6.1 98.6 54.8 25.5 88.5 19.9 131.6 16.7 12.4 459.9 6.2 100.3 54.7 25.9 87.7 19.9 132.0 16.8 12.6 258.8 6.8 36.7 22.1 29.5 47.6 18.9 85.1 7.1 2.6 257.3 6.6 35.5 22.1 30.6 46.7 18.9 85.4 7.0 2.6 252.6 6.6 34.3 21.5 30.4 46.0 18.3 84.8 6.8 2.5 916.7 46.6 180.4 131.5 58.3 145.2 107.6 197.5 33.4 11.6 933.4 47.4 181.2 132.9 58.5 149.5 109.0 204.4 34.1 12.1 933.4 47.0 181.5 132.8 59.2 149.5 109.0 204.0 34.0 12.0 43.8 26.9 3.2 1.8 42.9 27.6 3.1 1.9 44.1 27.7 3.3 1.8 35.2 18.7 1.9 1.2 35.2 19.3 1.8 1.2 35.8 19.6 2.0 1.2 173.3 81.7 11.2 16.3 175.9 83.0 11.6 16.4 176.6 83.5 11.6 16.6 Nevada Las Vegas Reno New Mexico Albuquerque Las Cruces Santa Fe See footnotes at end of table. 85 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Finance, insurance, and real estate Services Government State and area August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P August 1999 July 2000 August 2000? Maryland Baltimore PMSA Baltimore City Suburban Maryland-D.C 142.2 75.9 34.4 53.3 141.9 75.7 34.6 53.5 142.0 75.4 34.4 53.5 827.2 424.7 160.6 323.2 855.7 431.5 165.5 338.4 854.6 432.9 166.1 337.7 393.4 194.7 84.1 154.5 404.3 197.9 84.9 162.9 400.7 197.0 85.9 160.1 Massachusetts Barnstable-Yarmouth Boston Brockton Fitchburg-Leominster Lawrence Lowell New Bedford Pittsfield Springfield Worcester 228.9 3.7 172.3 3.1 1.5 5.5 3.4 2.0 1.9 13.3 14.9 232.3 3.9 175.1 3.2 1.6 5.7 3.6 2.1 1.9 13.2 14.7 233.1 3.8 175.6 3.2 1.6 5.6 3.7 2.1 1.9 13.2 14.6 1,171.7 23.1 790.4 25.7 13.7 46.3 36.0 17.2 15.8 79.3 71.3 1,206.2 23.6 810.9 26.1 13.2 47.6 35.9 18.1 16.0 78.4 74.0 1,202.9 23.4 809.0 26.3 13.2 47.3 35.9 18.1 15.8 78.5 73.9 388.1 8.1 224.4 16.2 7.1 17.5 14.3 9.2 4.6 41.7 31.1 399.8 8.6 230.6 17.0 7.3 18.1 15.1 9.8 5.0 41.7 31.1 392.6 8.2 227.1 16.7 7.3 17.8 14.8 9.4 4.9 41.9 30.8 Michigan3 Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland 210.5 10.4 2.4 114.9 6.7 22.8 1.9 10.6 14.7 7.0 208.2 10.5 2.4 112.9 6.6 23.2 2.0 10.8 15.2 7.2 207.6 10.6 2.4 112.8 6.8 23.2 2.0 10.8 15.2 7.2 1,256.7 70.8 19.8 672.9 49.4 145.6 15.7 55.4 59.4 49.5 1,268.4 72.5 20.4 687.6 49.4 147.5 16.0 56.4 60.4 49.5 1,275.0 72.7 20.5 692.7 50.5 148.7 16.2 57.1 61.0 50.2 598.0 64.6 8.3 207.4 21.3 50.5 9.4 31.2 58.1 20.4 619.8 65.3 8.6 214.4 21.5 51.1 10.0 31.3 60.5 21.2 606.4 65.2 8.6 209.4 21.0 50.5 10.0 31.0 59.1 20.6 Minnesota Duluth-Superior Minneapolis-St. Paul Rochester St. Cloud 162.0 3.5 128.8 2.5 3.4 161.9 3.5 132.2 2.6 3.6 162.1 3.5 132.7 2.6 3.6 765.9 35.1 509.9 38.3 23.2 782.4 35.6 520.9 40.5 24.2 788.2 35.6 521.6 40.5 24.3 354.0 21.3 211.7 6.8 11.1 364.6 22.6 210.8 7.2 12.3 358.1 22.0 210.3 7.3 11.7 42.8 16.1 42.3 15.2 42.0 15.0 272.7 62.3 270.0 62.6 271.5 61.2 227.1 47.6 225.8 48.4 225.5 48.8 167.8 70.9 84.2 8.9 169.6 71.9 86.1 8.6 169.8 71.6 85.8 8.7 779.2 290.6 427.4 48.5 795.5 293.8 435.0 50.0 799.2 293.2 434.1 49.5 377.9 125.1 138.1 15.3 402.7 132.8 142.1 20.3 404.6 131.2 139.6 19.6 Mississippi Jackson Missouri Kansas City St. Louis Springfield 17.8 18.2 18.3 117.4 121.5 121.3 72.3 72.9 73.7 Nebraska Lincoln Omaha 61.7 10.9 36.3 61.7 10.8 36.2 61.5 10.7 36.0 245.5 41.7 138.5 243.7 42.3 137.2 243.3 42.2 137.0 145.0 33.5 47.7 148.4 34.4 49.6 147.5 35.0 48.7 Nevada Las Vegas Reno 44.5 33.9 8.1 44.7 34.3 8.1 44.9 34.4 8.2 435.2 329.2 74.6 450.1 338.5 78.1 455.8 343.9 78.5 110.0 70.1 21.9 115.7 74.0 22.7 115.2 74.5 22.9 New Hampshire Manchester Nashua Portsmouth-Rochester 33.3 8.0 5.2 6.6 33.2 7.6 4.4 6.6 33.1 7.5 4.3 6.6 182.6 33.1 24.1 34.3 185.0 33.5 24.6 34.7 185.9 34.0 24.5 35.4 72.9 9.8 7.4 19.5 75.4 10.3 7.9 19.6 73.7 10.0 8.0 19.4 260.6 6.3 38.5 27.8 28.4 48.1 19.0 77.3 11.3 2.8 265.5 6.5 39.5 27.2 31.0 48.9 19.4 78.7 11.5 2.8 265.4 6.6 39.4 27.3 31.1 48.5 19.2 78.9 11.6 2.7 1,288.6 97.9 213.7 158.8 60.6 202.7 140.7 320.4 75.1 13.1 1,316.9 98.3 217.3 161.2 61.7 212.0 143.8 328.2 76.7 13.2 1,317.9 99.4 217.0 161.3 62.1 211.8 143.5 327.4 76.3 13.0 545.8 29.0 66.8 73.3 38.2 74.7 64.1 133.3 49.3 13.2 558.9 29.2 69.4 74.2 38.2 76.8 64.4 138.6 50.3 13.2 546.4 29.1 66.9 74.3 36.6 75.8 63.6 134.7 50.1 12.8 33.3 19.3 2.1 3.7 33.5 19.6 2.1 3.8 33.3 19.6 2.1 3.8 214.1 111.9 14.6 22.8 217.7 115.6 15.6 23.3 218.4 115.6 15.7 23.2 175.5 64.1 18.5 25.5 177.0 67.0 16.4 25.8 177.7 66.8 18.6 25.5 Montana New Jersey Atlantic-Cape May Bergen-Passaic Camden Jersey City Middlesex-Somerset-Hunterdon .. Monmouth-Ocean Newark Trenton Vineland-Millville-Bridgeton New Mexico Albuquerque Las Cruces Santa Fe See footnotes at end of table. 86 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Total Mining Construction State and area August 1999 July 2000 August 2000P July 2000 August 1999 August 2000P 4.9 .7 4.8 .6 New York Albany-Schenectady-Troy Binghamton Buffalo-Niagara Falls Dutchess County Elmira Glens Falls Nassau-Suffolk New York PMSA New York City Newburgh Rochester Rockland County Syracuse Utica-Rome Westchester County 8,457.0 450.6 116.0 554.2 112.8 43.9 54.6 1,187.1 4,163.6 3,623.1 129.6 548.8 109.4 346.0 136.3 408.4 8,624.8 454.6 118.6 556.7 115.3 44.9 55.9 1,215.5 4,254.0 3,699.8 132.0 554.5 112.4 355.4 138.3 418.0 8,577.8 454.2 118.7 554.7 115.5 44.6 55.8 1,207.1 4,221.4 3,672.7 131.0 554.4 111.8 353.5 137.7 413.1 North Carolina Asheville Charlotte-Gastonia-Rock Hill Greensboro--Winston-3alem-High Point Raleigh-Durham-Chapel Hill 3,865.9 110.5 813.9 661.3 667.8 3,868.2 110.6 816.4 659.9 673.4 3,909.3 112.1 822.9 669.6 679.0 (1) (1) (1) (1) 322.9 50.9 98.6 47.6 323.7 51.3 100.2 46.5 322.0 50.8 98.9 46.6 (1) (1) (1) (1) (1) (1) 5,557.4 328.6 185.0 879.2 1,174.8 860.8 476.7 127.4 80.2 82.5 50.1 325.0 248.4 5,585.5 335.4 189.8 896.5 1,180.3 873.1 477.5 127.5 82.0 81.9 51.5 322.8 248.6 5,591.3 335.1 189.4 895.6 1,178.6 870.8 478.6 128.0 81.9 82.6 51.4 325.1 249.6 13.3 .6 .5 .7 .8 .6 .3 <;> <1 > ( ) .4 .3 .5 12.6 .6 .6 .7 .8 .6 .3 (1) 1 ( ) (1) .4 .2 .4 Oklahoma Enid Lawton Oklahoma City Tulsa 1,455.1 23.8 38.1 526.5 392.8 1,480.8 23.7 38.4 536.7 396.3 1,483.9 23.8 38.5 539.7 395.8 27.7 .7 .1 6.0 7.2 Oregon Eugene-Springfield Medford-Ashland Portland-Vancouver Salem 1,573.1 139.2 70.9 943.4 137.7 1,592.0 140.2 73.0 963.3 137.1 1,591.6 140.5 73.0 959.6 138.5 Pennsylvania Allentown-Bethlehem-Easton Altoona Erie Harrisburg-Lebanon-Carlisle Johnstown Lancaster Philadelphia PMSA Philadelphia City Pittsburgh Reading Scranton-Wilkes-Barre-Hazleton Sharon State College Williamsport York 5,562.4 277.1 61.2 133.2 356.9 88.2 222.2 2,353.3 678.4 1,100.2 166.1 277.0 48.9 65.4 53.5 164.7 5,586.7 280.1 61.3 135.6 362.5 88.4 224.5 2,402.1 685.8 1,113.4 167.6 282.3 50.3 66.7 55.0 166.8 5,554.7 279.6 60.9 135.9 360.9 87.5 224.2 2,389.9 681.4 1,104.9 167.3 280.7 49.6 67.6 54.7 165.9 North Dakota Bismarck Fargo-Moorhead Grand Forks Ohio Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren See footnotes at end of table. 87 August 1999 5.0 .7 July 2000 August 2000P 337.2 19.6 5.0 23.7 5.1 2.1 2.5 62.4 151.5 119.3 5.4 22.6 5.0 16.2 4.2 24.8 353.1 20.1 5.3 24.2 5.3 2.6 2.6 65.0 157.5 124.2 5.1 22.5 5.2 16.9 4.5 25.6 358.0 20.1 5.4 24.2 5.5 2.6 2.6 65.7 159.8 126.2 5.1 23.0 5.3 17.3 4.6 25.9 4.0 229.5 7.0 52.8 35.9 41.4 234.0 7.4 53.1 36.7 41.4 233.8 7.4 53.3 36.6 41.4 3.8 20.7 3.2 7.2 3.7 19.3 3.1 7.3 2.9 18.9 3.0 7.1 2.9 12.6 .6 .6 .7 .7 .6 .3 .4 .2 .4 254.3 15.2 9.6 42.1 50.0 39.9 19.1 9.0 4.1 2.8 2.0 17.3 12.1 256.3 14.7 9.8 42.7 49.8 42.9 20.1 9.1 4.2 2.9 2.1 17.9 12.1 255.7 14.9 9.7 42.6 50.0 42.5 19.9 9.0 4.1 2.9 2.1 17.6 12.1 28.0 .6 .1 5.9 7.1 27.8 .6 .1 5.9 7.1 59.3 .9 1.6 21.4 18.7 62.1 .9 1.7 22.4 19.3 62.2 .9 1.7 22.3 19.3 2.0 .2 .1 1.3 .3 1.9 .2 .1 1.2 .3 1.9 .2 .1 1.3 .3 89.1 7.8 3.7 54.9 8.1 91.6 7.5 3.7 54.9 8.1 94.1 7.6 3.8 55.9 8.2 21.2 (1) (1) (1) (1) 19.4 <;> (1) (1) (1) (1) .5 (1) 1 ( ) 4.4 (1) .5 (1) (1) (1) .4 19.7 (1) (1) (1) (1) (1) .5 (1) 1 ( ) 4.5 (1) .5 (1) (1) (1) .4 253.2 13.2 3.0 5.6 14.8 4.9 14.3 99.5 13.4 60.5 7.9 11.9 2.0 2.6 2.4 9.9 253.6 13.6 3.1 5.5 15.2 5.0 14.4 100.7 13.3 62.2 7.9 12.5 2.3 2.6 2.5 9.9 254.0 13.8 3.0 5.7 15.0 4.9 14.4 102.1 13.3 62.8 8.0 12.4 2.3 2.6 2.5 10.0 1 1 1 ( ) (1) (1) ( ) (1) (1) ( ) (1) (1) (]) (11) () (]) (11) () (]) (1) (11) () (M .3 (M .3 (1) 1 ( ) (]) (1) (11) () (]) (11) (1) () (M (1) (11) () (M .4 4.7 (1) .5 (1) (1) (M .4 (\) (1) (1) (1) 1 ( ) (1) (1) 3.7 3.8 (1) (1) .4 4.0 4.0 .3 (1) .4 .4 (1) (1) (1) (]) (11) () . ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Manufacturing Transportation and public utilities Wholesale and retail trade State and area August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P New York Albany-Schenectady-Troy Binghamton Buffalo-Niagara Falls Dutchess County Elmira Glens Falls Nassau-Suffolk New York PMSA New York City Newburgh Rochester Rockland County Syracuse Utica-Rome Westchester County 895.6 38.9 24.8 86.7 17.3 9.3 7.8 113.4 304.8 254.7 11.6 118.2 11.6 51.3 19.8 36.7 879.6 38.8 25.4 85.9 17.4 8.7 7.9 112.1 295.9 246.6 11.4 115.3 11.5 51.8 19.3 35.9 885.5 39.0 25.6 86.2 17.5 8.7 8.0 112.2 299.9 250.1 11.4 115.6 11.5 51.7 19.1 36.0 413.2 17.8 5.1 25.9 4.2 1.5 1.8 54.2 230.0 203.6 7.2 18.0 5.6 20.6 4.3 20.1 418.4 18.5 5.0 26.4 4.2 1.6 1.9 56.4 233.3 205.9 7.5 18.5 5.8 20.7 4.2 20.8 387.1 16.7 4.8 24.8 3.9 1.3 1.6 50.7 211.9 187.6 7.3 18.5 5.4 20.0 3.8 18.3 1,718.5 95.0 24.7 130.6 21.8 10.2 13.0 307.0 723.8 606.8 36.0 119.8 25.3 80.2 28.7 87.2 1,751.3 94.8 25.6 130.7 22.2 10.3 13.6 312.9 734.6 616.2 36.4 122.0 25.8 81.5 29.0 87.9 1,754.8 95.2 25.6 131.1 22.3 10.4 13.8 314.9 734.6 616.9 36.6 122.0 25.8 81.6 29.0 87.5 North Carolina Asheville Chariotte-Gastonia-Rock Hill Greensboro-Winston-Salem-High Point Raleigh-Durham-Chapel Hill 800.4 18.4 137.8 158.2 84.0 779.6 17.7 133.6 154.9 83.9 773.4 17.7 130.9 154.3 84.2 178.2 5.1 55.0 34.8 29.9 181.2 5.4 56.6 36.5 30.7 181.5 5.3 56.8 36.4 30.7 875.7 26.6 193.9 147.5 140.9 879.3 26.4 193.7 147.6 143.7 881.4 26.7 194.3 148.6 143.9 24.1 3.1 8.1 3.8 24.5 3.1 7.9 3.9 24.4 3.1 7.9 3.8 18.4 3.3 5.2 2.0 18.7 3.4 5.2 2.1 18.6 3.3 5.2 2.1 81.8 12.4 28.2 12.9 81.3 12.4 27.8 12.8 81.1 12.4 27.8 12.8 1,090.9 65.1 47.1 140.9 222.5 92.8 95.7 23.2 20.1 23.4 13.3 62.2 55.0 1,070.7 65.2 47.2 142.2 221.1 92.7 93.1 23.0 20.4 22.3 13.2 57.4 53.6 1,081.1 65.6 47.5 142.6 220.5 92.6 94.2 22.9 20.3 22.8 13.5 60.0 54.2 247.0 15.3 5.1 48.7 46.8 40.5 21.4 5.0 3.2 3.5 2.6 15.7 10.1 249.5 16.6 5.1 50.8 47.0 40.9 22.5 5.0 3.4 3.6 2.6 16.0 10.0 251.5 16.6 5.2 51.1 47.4 41.0 22.5 5.1 3.4 3.6 2.6 16.0 10.1 1,343.7 83.2 46.1 222.7 278.6 222.0 110.9 33.6 18.7 18.9 10.4 80.2 63.5 1,344.4 84.4 47.8 226.0 279.2 220.7 109.4 33.4 18.8 18.8 10.3 80.4 64.1 1,347.9 84.4 47.7 226.0 279.8 221.2 109.9 33.5 18.9 19.0 10.4 81.0 63.9 Oklahoma Enid Lawton Oklahoma City Tulsa 184.4 2.5 3.8 58.0 54.9 184.8 2.6 3.7 57.8 55.0 184.5 2.6 3.7 57.7 54.7 82.1 82.2 82.5 338.6 343.5 2.2 2.3 2.3 6.2 6.2 1.7 24.9 32.5 1.7 25.2 32.7 1.6 25.4 32.7 9.2 124.1 92.1 9.2 125.6 92.6 344.8 6.2 9.2 126.1 92.8 Oregon Eugene-Springfield Medford-Ashland Portland-Vancouver Salem 247.0 23.4 9.4 145.9 20.7 247.5 23.2 9.6 147.1 19.5 246.4 23.7 9.5 144.7 20.7 78.2 4.3 3.7 55.1 4.1 78.8 4.2 4.0 56.7 4.1 79.7 4.2 4.1 56.9 4.1 391.4 35.9 20.5 236.5 29.0 396.8 35.9 21.2 240.4 28.8 394.1 36.0 21.2 240.6 28.9 Pennsylvania Allentown-Bethlehem-Easton Altoona Erie Harrisburg-Lebanon-Carlisle Johnstown Lancaster Philadelphia PMSA Philadelphia City Pittsburgh Reading Scranton-Wilkes-Barre-Hazleton Sharon State College Williamsport York 934.4 55.3 10.5 34.3 44.9 13.7 57.8 304.1 56.9 138.3 41.5 54.1 11.3 7.8 13.7 46.1 936.0 54.1 10.3 33.4 44.3 13.4 57.4 308.4 55.9 139.4 42.4 54.2 11.1 8.6 14.2 46.2 936.5 54.7 10.1 33.4 44.7 12.7 57.4 307.5 56.3 139.7 42.2 54.0 11.0 8.5 14.2 46.2 285.3 15.7 4.2 4.8 24.0 5.0 8.2 110.1 33.9 67.7 8.4 15.7 1.9 2.1 1.9 7.8 291.5 16.3 4.3 5.0 24.4 5.1 8.4 112.7 34.7 67.3 8.3 15.9 2.0 2.2 2.0 8.1 278.7 15.8 4.1 5.0 23.9 5.1 8.3 105.7 31.3 64.5 8.1 15.0 1.9 2.2 1.9 8.1 1,258.3 59.2 16.3 30.4 80.9 20.9 56.2 516.6 117.7 261.1 39.2 66.3 12.7 12.8 13.0 40.7 1,256.0 59.6 16.5 31.3 83.2 20.8 56.8 522.4 118.7 262.5 39.0 66.4 13.1 13.0 13.4 41.6 1,257.4 59.5 16.5 31.4 82.9 20.9 56.8 523.4 119.5 262.5 39.2 66.4 13.1 13.1 13.3 41.6 North Dakota Bismarck Fargo-Moorhead Grand Forks Ohio Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren See footnotes at end of table. 88 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Finance, insurance, iand real estate Services Government State and area August 1999 July 2000 August 2000P August 1999 July 2000 Auqust 2000P August 1999 July 2000 August 2000P New York Albany-Schenectady-Troy Binghamton Buffalo-Niagara Falls Dutchess County Elmira Glens Falls Nassau-Suffolk New York PMSA New York City Newburgh Rochester Rockland County Syracuse Utica-Rome Westchester County 756.9 26.4 4.3 31.1 5.4 1.3 2.5 85.7 527.2 492.2 6.3 21.5 5.8 18.5 8.0 28.0 763.2 25.9 4.8 31.3 5.5 1.3 2.5 86.7 531.0 495.1 6.4 21.7 6.1 18.9 8.0 28.5 763.9 25.9 4.8 31.4 5.5 1.3 2.5 86.9 532.3 496.4 6.3 21.7 6.2 18.9 8.0 28.5 2,933.1 148.0 33.1 172.6 39.1 12.4 17.9 395.1 1,560.0 1,360.1 37.5 173.4 38.1 103.4 44.0 153.6 3,039.2 150.2 33.3 174.2 40.2 13.2 18.0 404.4 1,632.9 1,425.4 38.9 178.6 39.1 107.7 45.4 159.9 3,041.1 151.9 33.6 174.5 40.4 13.2 18.1 403.9 1,633.0 1,426.4 38.5 178.2 394 107.6 45.7 158.6 1,397.7 104.3 19.0 83.6 19.9 7.1 9.1 169.3 666.3 586.1 25.6 74.9 18.0 55.8 27.3 58.0 1,415.1 105.6 19.2 84.0 20.5 7.2 9.4 178.0 668.8 586.1 26.3 75.5 18.9 57.9 27.9 59.4 1,382.4 104.7 18.9 82.5 20.4 7.1 9.2 172.8 649.9 568.8 25.8 75.0 18.2 56.4 27.5 58.3 North Carolina Asheville Charlotte-Gastonia-Rock Hill Greensboro-Winston-Salem-High Point Raleigh-Durham-Chapel Hill 187.2 4.2 65.1 35.4 32.0 191.9 4.3 65.8 35.2 32.2 192.2 4.4 65.6 35.4 32.3 1,002.1 34.2 217.1 180.9 218.4 1,039.9 35.2 222.7 185.3 223.5 1,039.3 35.0 223.0 185.7 222.5 588.8 15.0 92.2 68.6 121.2 558.3 14.2 90.9 63.7 118.0 603.7 15.6 99.0 72.6 124.0 16.7 2.4 7.0 1.4 16.5 2.4 6.9 1.4 16.5 2.4 7.0 1.3 92.3 16.8 30.4 12.7 93.4 17.0 32.3 12.9 92.6 16.9 31.4 12.7 65.1 9.7 12.5 11.1 66.3 9.9 12.8 10.5 66.1 9.7 12.5 11.0 311.4 13.9 6.7 55.2 80.678.5 18.7 7.8 2.1 2.6 1.4 11.3 9.6 315.4 14.2 6.9 56.8 81.4 80.4 18.7 7.4 2.1 2.5 1.5 11.1 9.3 315.5 14.1 6.9 56.8 81.5 80.7 18.5 7.4 2.1 2.5 1.5 11.2 9.3 1,574.3 94.6 51.2 272.4 356.7 251.6 143.0 30.7 21.9 20.1 13.9 97.3 69.1 1,593.8 97.7 52.8 277.7 359.2 255.4 143.7 32.0 22.6 20.3 15.0 98.7 69.5 1,593.6 97.7 52.9 276.7 358.9 254.9 144.8 32.0 22.8 20.4 14.7 98.7 70.0 722.5 40.7 18.7 96.5 138.8 134.9 67.6 18.1 10.1 11.2 6.1 40.7 28.5 742.8 42.0 19.6 99.6 141.8 139.5 69.7 17.6 10.5 11.5 6.4 41.1 29.6 733.4 41.2 18.9 99.1 139.8 137.3 68.5 18.1 10.3 11.4 6.2 40.4 29.6 Oklahoma Enid Lawton Oklahoma City Tulsa 73.9 1.1 1.7 30.3 22.2 75.3 1.1 1.7 30.5 22.7 75.6 1.1 1.7 30.6 22.7 419.3 6.4 9.0 164.4 125.1 431.6 6.4 9.3 168.7 126.5 430.9 6.2 9.3 168.7 125.7 269.8 3.8 11.0 97.4 40.1 273.3 3.6 11.0 100.6 40.4 275.6 3.9 11.2 103.0 40.8 Oregon Eugene-Springfield Medford-Ashland Portland-Vancouver Salem 96.2 7.3 3.2 67.0 6.9 96.4 7.3 3.3 66.4 6.7 96.5 7.3 3.3 66.4 6.7 429.2 38.8 20.2 268.3 32.4 434.6 39.0 20.6 276.2 32.7 435.5 39.2 20.6 277.4 33.2 240.0 21.5 10.1 114.4 36.2 244.4 22.9 10.5 120.4 36.9 243.4 22.3 10.4 116.4 36.4 328.0 14.9 1.8 5.6 24.4 4.1 10.3 165.0 50.2 67.3 8.4 14.1 1.5 2.3 2.4 5.3 328.1 15.0 1.8 5.7 24.8 4.1 10.5 167.2 50.1 68.7 8.6 15.5 1.6 2.3 2.3 5.3 328.1 15.0 1.8 5.8 24.8 4.1 10.5 166.9 50.3 68.5 8.6 15.6 1.6 2.4 2.3 5.3 1.820.8 89.8 17.4 38.9 105.4 25.9 58.3 879.9 290.1 388.2 44.2 81.5 14.3 14.7 14.4 41.0 1,829.6 92.0 17.4 40.4 106.9 26.4 59.0 908.0 293.8 392.4 44.6 83.0 14.8 14.9 14.8 41.7 1,820.6 91.5 17.4 40.7 107.0 26.1 58.9 907.0 293.1 390.5 44.6 83.1 14.4 15.0 14.8 41.2 661.2 29.0 8.0 13.6 62.5 13.7 16.7 278.1 116.2 112.4 16.5 32.9 5.2 23.1 5.7 13.5 672.5 29.5 7.9 14.3 63.7 13.6 17.5 282.7 119.3 116.5 16.8 34.3 5.4 23.1 5.8 13.6 659.7 29.3 8.0 13.9 62.6 13.7 17.4 277.3 117.6 111.9 16.6 33.7 5.3 23.8 5.7 13.1 North Dakota Bismarck Fargo-Moorhead Grand Forks Ohio Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren Pennsylvania Allentown-Bethlehem-Easton Altoona Erie Harrisburg-Lebanon-Cariisle Johnstown Lancaster Philadelphia PMSA Philadelphia City Pittsburgh Reading Scranton-Wilkes-Barre-Hazleton Sharon State College Williamsport York See footnotes at end of table. 89 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Construction Mining Total State and area August 1999 Rhode Island Providence-Fall River-Warwick July 2000 August 2000P August 1999 July 2000 467.3 515.8 468.0 516.4 471.4 519.4 1,835.1 243.7 298.7 476.2 1,870.0 255.8 309.0 483.3 1,878.9 256.1 309.4 484.2 (1) (1) (1) 377.2 51.1 112.9 380.9 51.2 115.1 380.3 50.8 115.0 (1) (1) Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville 2,677.4 227.7 196.4 331.9 588.5 663.4 2,710.7 232.3 196.9 330.2 593.5 687.3 2,718.0 231.5 197.6 328.4 598.5 686.2 Texas Abilene Amarillo Austin-San Marcos Beaumont-Port Arthur Brazoria Brownsville-Harlingen-San Benito Bryan-College Station Corpus Christi Dallas El Paso Ft. Worth-Arlington Galveston-Texas City Houston Killeen-Temple Laredo Longview-Marshall Lubbock McAllen-Edinburg-Mission Odessa-Midland San Angelo San Antonio Sherman-Denison Texarkana Tyler Victoria Waco Wichita Falls 9,153.4 55.4 96.4 634.3 158.3 74.5 103.5 70.8 157.6 1,911.5 251.5 768.7 88.0 2,027.4 101.6 65.1 89.9 116.7 142.8 98.7 43.3 702.4 44.6 52.1 81.2 36.8 99.7 58.6 9,364.7 57.3 98.6 659.6 155.4 73.2 107.8 72.5 160.3 1,976.6 255.6 790.4 88.6 2,081.5 103.2 67.3 90.7 120.2 151.2 99.7 43.7 714.8 46.0 52.6 82.0 37.9 100.2 58.5 9,406.7 57.0 98.6 665.9 154.8 74.2 108.3 72.8 160.4 1,986.6 257.4 792.6 88.4 2,089.7 103.3 67.4 91.0 120.7 151.9 100.3 43.9 717.4 46.1 52.6 82.8 37.7 100.1 58.4 144.4 .8 .6 1.3 .9 1.3 (1) .7 2.1 10.1 (1) 4.1 .5 62.0 (1) 1.0 3.0 .1 1.2 10.7 .6 2.0 (1) (1) 1.4 1.7 (1) .9 Utah Provo-Orem Salt Lake City-Ogden 1,050.7 145.1 705.7 1,066.1 146.2 715.2 1,070.0 147.9 718.1 7.9 286.4 32.1 102.8 292.0 32.5 106.6 291.4 33.1 105.9 Virginia Bristol Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News .. Northern Virginia Richmond-Petersburg Roanoke 3,408.5 38.5 83.2 44.8 100.8 694.9 1,089.4 544.0 142.6 3,464.4 38.9 86.4 45.8 103.1 697.0 1,129.6 559.5 143.9 3,461.8 38.9 85.8 46.0 103.1 697.2 1,130.2 557.2 142.8 Washington Seattle-Bellevue-Everett Spokane Tacoma 2,649.9 1,386.8 188.4 238.9 2,698.5 1,408.0 193.3 243.7 2,706.2 1,413.1 194.0 244.8 South Carolina Charleston-North Charleston Columbia Greenville-Spartanburg-Anderson South Dakota Rapid City Sioux Falls Vermont Barre-Montpelier Burlington See footnotes at end of table. 90 August 2000P 1.3 4.4 .5 (1) (1) 144.5 .7 .6 1.3 1.0 1-3 M .7 2.0 9.6 (1) 1 3.9 .5 62.9 ) .9 3.1 .1 1.3 11.0 .6 2.0 (1) (1) 1 1 2.9 1.3 1.7 ) .9 ) 3.0 .8 .9 .8 .9 ( ) 1 ( ) .2 18.9 4.0 5.9 18.4 4.0 5.8 4.3 (1) (1) 128.4 10.0 11.6 17.1 27.6 34.0 134.3 9.9 11.4 16.8 28.4 36.1 134.0 10.0 11.5 16.8 28.5 35.8 144.7 .7 .6 1.4 1.0 1.4 1 ( ) .7 2.1 9.5 (1) 3.9 .5 63.0 (1) .9 3.1 .1 1.3 11.0 .6 2.0 (1) (1) 1.3 1.7 1 ( ) .9 539.0 2.3 5.5 37.6 15.6 9.9 3.8 3.5 12.5 101.3 12.6 42.3 4.4 149.0 4.7 2.6 4.7 4.4 8.0 5.4 2.2 38.3 2.8 2.1 3.6 2.6 5.5 2.3 564.0 2.4 5.6 40.1 15.6 9.6 4.0 3.5 12.7 109.4 13.7 45.8 4.6 156.5 4.9 2.7 4.8 4.6 9.2 5.4 2.3 39.5 2.9 2.2 3.7 3.0 5.8 2.0 565.5 2.4 5.6 40.1 15.1 9.6 4.0 3.5 13.1 110.4 13.6 45.6 4.5 157.6 5.0 2.7 4.9 4.5 9.2 5.5 2.3 39.6 2.8 2.2 3.7 3.0 5.8 2.0 7.9 78.3 11.1 51.0 78.5 11.1 51.3 78.9 11.1 51.9 .6 16.1 1.7 5.9 16.3 1.9 6.5 16.4 2.0 6.5 9.8 201.8 1.5 4.9 2.4 6.1 41.5 64.7 34.5 9.3 209.4 1.3 5.2 2.2 6.2 43.7 70.2 35.9 9.2 209.6 1.3 5.2 2.2 6.1 43.6 71.4 36.1 9.2 164.8 83.7 12.3 16.0 171.8 85.4 12.2 16.7 174.7 85.8 12.4 17.5 C) (1) .6 (1) 3.0 1 (]) (11) (1) (1) () ( ) 3.4 .7 3.4 .7 ) .8 .9 1 1 3.5 .7 19.4 3.6 6.1 (1) <1> (1) (1) (1) (1) (1) ( ) 1.3 9.8 9.9 1 121.9 19.6 18.7 33.2 .6 (1) (1) <;> (1) (1) (1) (1) 121.6 19.5 18.7 33.3 8.2 .6 (1) (1) 116.1 19.2 17.4 32.6 4.3 .6 (1) 1.8 (1) (1) (1) (1) (1) (1) 20.3 21.1 1.3 (1) (1) (1) (1) 20.2 21.0 (1) (1) (1) (1) (1) (1) 1 ( ) .2 August 2000P 19.4 20.1 1.8 1.9 July 2000 .3 .3 .3 .3 .3 .3 August 1999 .2 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Manufacturing Wholesale and retail trade Transportation and public utilities State and area August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P 74.7 95.8 69.3 92.3 73.4 96.2 15.9 17.8 16.1 17.8 14.8 16.6 108.1 121.5 110.1 122.4 110.4 122.5 342.6 22.3 27.1 118.7 341.2 22.7 27.1 118.3 341.4 22.5 27.2 118.2 88.9 13.3 13.6 20.4 90.5 13.9 14.1 21.0 90.9 13.8 14.0 20.8 448.5 62.4 68.8 123.5 456.7 64.6 72.1 125.8 458.7 64.6 72.4 126.6 50.3 4.4 14.7 49.5 4.5 13.9 49.3 4.5 13.9 16.7 2.1 6.7 16.6 2.2 6.7 16.3 2.2 6.6 93.9 15.7 27.9 94.5 15.1 29.4 94.6 15.3 29.4 509.5 44.0 48.2 49.7 63.9 95.9 503.8 44.8 46.6 48.8 62.0 98.1 505.8 44.6 46.6 48.7 62.4 97.7 172.4 19.0 8.1 14.7 70.4 34.6 173.4 19.2 8.1 14.7 72.5 35.8 173.5 19.2 8.2 14.7 73.9 36.0 628.8 48.7 46.2 88.8 146.5 160.1 639.2 50.1 46.6 88.2 150.3 169.7 639.3 50.1 46.6 88.0 150.5 169.9 1,085.3 3.6 8.9 80.4 24.8 14.2 13.0 5.2 13.4 248.6 39.8 112.2 8.1 206.4 9.5 1.8 18.3 7.2 12.4 6.4 4.8 53.5 9.7 5.9 11.5 3.0 16.7 8.5 1,086.4 3.7 9.0 85.6 22.9 13.7 12.9 5.7 13.1 252.1 37.8 112.3 7.8 207.0 9.6 2.0 18.0 7.1 11.9 6.7 4.8 55.2 9.8 5.8 10.7 2.9 16.3 8.0 1,089.1 3.7 9.1 85.8 22.9 13.8 13.3 5.6 13.3 252.6 38.3 111.0 7.8 207.6 9.5 2.1 17.9 7.1 12.1 6.7 4.8 55.0 9.9 5.8 11.5 2.9 16.3 8.1 564.6 2.6 5.2 21.8 7.8 2.8 5.3 1.6 6.8 130.3 15.0 75.4 3.7 147.0 3.6 11.9 4.0 6.4 5.8 3.8 2.8 34.5 1.7 2.6 3.4 1.7 4.5 2.6 584.8 2.7 5.4 23.0 7.7 2.7 5.5 1.7 7.1 135.5 16.2 77.6 3.5 152.4 3.5 12.7 4.1 6.6 6.6 4.2 2.8 35.0 1.8 2.7 3.5 1.8 4.6 2.4 588.4 2.7 5.4 23.3 7.7 2.8 5.5 1.7 7.1 136.2 16.3 78.2 3.6 153.2 3.5 12.6 4.1 6.8 6.6 4.1 2.8 35.0 1.8 2.7 3.4 1.7 4.7 2.4 2,196.0 14.7 27.1 142.5 36.6 15.7 25.0 15.1 37.4 467.0 59.6 192.2 20.5 466.7 24.4 17.5 23.0 32.8 38.8 27.3 10.3 170.9 10.0 13.9 22.3 9.7 22.7 14.0 2,252.3 14.8 27.3 148.4 36.5 15.7 26.5 15.7 37.8 478.5 60.4 197.6 21.1 481.1 24.4 18.0 22.8 33.2 40.5 27.4 10.2 175.2 9.9 14.0 22.9 9.9 22.4 14.1 2,266.7 14.8 27.4 149.4 36.8 15.8 26.3 15.9 38.1 480.2 61.0 199.1 21.0 483.4 24.6 18.0 23.0 33.7 40.5 27.6 10.2 175.9 10.1 14.0 23.1 9.9 22.4 14.1 133.5 18.2 84.9 132.8 18.6 84.2 132.6 18.6 84.2 59.6 2.4 47.4 60.8 2.4 47.7 60.9 47.5 251.0 34.4 168.1 254.2 34.6 169.1 255.2 34.7 170.1 48.4 3.8 19.0 48.1 3.8 20.0 48.4 3.9 20.1 12.1 1.1 5.0 12.5 1.0 4.9 11.7 .9 4.6 67.9 7.1 23.0 69.4 7.3 23.7 69.4 7.4 23.4 Virginia Bristol Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News Northern Virginia Richmond-Petersburg Roanoke 397.7 9.2 8.3 14.7 25.2 69.4 39.9 60.8 19.0 391.7 9.4 8.0 14.9 24.9 67.1 38.3 60.8 19.0 393.2 9.5 8.0 15.1 24.9 68.8 38.3 60.9 18.9 180.4 1.4 2.4 1.0 3.7 32.9 70.3 28.0 9.0 185.5 1.4 2.4 1.1 3.7 34.8 71.1 29.0 8.9 177.9 1.4 2.5 1.1 3.6 33.8 69.4 26.7 8.2 755.4 11.0 17.2 10.0 21.1 167.4 224.1 126.9 36.3 755.7 11.1 17.7 10.3 22.2 163.9 227.5 128.1 36.3 756.3 11.2 17.7 10.4 22.4 164.0 227.6 129.0 36.3 Washington Seattle-Bellevue-Everett Spokane Tacoma 366.7 211.5 22.2 25.1 353.2 202.3 22.3 23.3 355.8 202.7 22.3 23.9 141.6 85.1 8.1 9.6 142.7 87.4 8.2 9.7 143.9 87.1 8.3 9.7 643.2 329.0 48.6 59.2 656.8 339.7 50.1 60.1 657.8 343.3 49.9 60.3 Rhode Island Providence-Fall River-Warwick South Carolina Charleston-North Charleston Columbia Greenville-Spartanburg-Anderson South Dakota Rapid City Sioux Falls Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville Texas Abilene Amarillo Austin-San Marcos Beaumont-Port Arthur Brazoria Brownsville-Harlingen-San Benito Bryan-College Station Corpus Christi Dallas El Paso Ft. Worth-Arlington Galveston-Texas City Houston Killeen-Temple Laredo Longview-Marshall Lubbock McAllen-Edinburg-Mission Odessa-Midland San Angelo San Antonio Sherman-Denison Texarkana Tyler Victoria Waco Wichita Falls Utah Provo-Orem Salt Lake City-Ogden Vermont Barre-Montpelier Burlington See footnotes at end of table. 91 2.5 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Services Finance, insurance, and real estate Government State and area August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P Rhode Island Providence-Fall River-Warwick 30.1 31.4 30.2 31.7 30.5 32.0 159.7 168.2 161.8 169.5 162.1 169.9 59.1 60.7 60.0 61.4 59.6 60.8 South Carolina Charleston-North Charleston Columbia Greenville-Spartanburg- Anderson 83.1 9.0 23.1 16.3 84.6 9.1 23.5 16.6 84.5 9.1 23.5 16.5 457.3 71.0 76.4 108.7 471.1 77.5 79.9 111.6 472.9 77.5 79.7 112.0 296.7 46.5 72.3 56.0 302.5 48.5 73.6 56.7 306.8 49.0 73.9 56.9 South Dakota Rapid City Sioux Falls 25.0 3.1 13.6 26.3 3.2 14.2 26.4 3.0 14.2 104.5 16.3 34.3 105.5 15.9 35.2 105.2 15.8 35.4 66.1 5.9 9.6 68.3 6.3 9.8 68.8 6.0 9.7 Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville 131.0 16.7 7.9 15.6 28.9 43.5 131.8 16.8 8.2 15.5 28.9 43.8 131.4 16.8 8.2 15.6 28.9 43.3 723.2 58.4 47.5 92.8 171.6 214.2 739.0 59.9 48.4 92.6 170.9 220.9 739.1 59.3 48.3 91.8 172.8 221.1 379.7 30.9 26.9 52.6 79.6 81.1 384.9 31.6 27.6 53.1 80.5 82.9 390.6 31.5 28.2 52.2 81.5 82.4 Texas Abilene Amarillo Austin-San Marcos Beaumont-Port Arthur Brazoria Brownsville-Harlingen-San Benito Bryan-College Station Corpus Christi Dallas El Paso Ft. Worth-Arlington Galveston-Texas City Houston Killeen-Temple Laredo Longview-Marshall Lubbock McAllen-Edinburg-Mission Odessa-Midland San Angelo San Antonio Sherman-Denison Texarkana Tyler Victoria Waco Wichita Falls 523.7 2.5 5.5 33.9 5.4 2.0 3.9 2.7 6.4 156.6 9.9 36.6 6.1 114.7 4.5 2.6 3.7 6.0 5.4 3.9 1.8 49.9 2.8 1.8 4.1 1.5 6.5 2.3 539.2 2.5 5.6 35.3 5.4 2.1 4.0 2.8 6.4 161.3 10.0 37.8 5.7 119.0 4.8 2.7 3.8 6.2 5.7 4.0 1.8 51.9 3.0 1.8 4.0 1.5 6.6 2.3 540.6 2.5 5.5 35.5 5.4 2.1 4.0 2.8 6.3 161.7 10.0 38.0 5.8 119.5 4.8 2.8 3.8 6.2 5.7 4.0 1.8 52.1 3.0 1.8 4.0 1.5 6.7 2.3 2,621.7 19.3 27.9 187.7 41.1 14.3 29.5 16.2 49.9 596.3 60.5 212.3 20.2 627.6 27.9 12.9 22.2 36.0 34.6 23.9 12.2 224.4 11.9 15.1 24.2 10.2 29.4 15.9 2,694.8 20.1 28.8 196.1 40.9 14.2 31.3 16.5 51.5 620.9 62.3 219.8 20.8 642.3 28.9 13.7 22.8 37.1 36.6 23.8 12.4 229.9 12.6 15.4 24.6 10.7 29.4 16.4 2,697.5 20.2 28.7 196.1 40.7 14.3 31.2 16.8 51.1 622.6 62.7 220.0 20.9 643.7 28.9 13.7 22.8 37.3 36.7 23.7 12.4 229.1 12.6 15.3 24.6 10.6 29.3 16.2 1,478.7 9.6 15.7 129.1 26.1 14.3 23.0 25.8 29.1 201.3 54.1 93.6 24.5 254.0 27.0 14.8 11.0 23.8 36.6 17.3 8.6 128.9 5.7 10.7 10.7 6.4 14.4 12.1 1,498.7 10.4 16.3 129.8 25.4 13.9 23.6 25.9 29.7 209.3 55.2 95.6 24.6 260.3 27.1 14.6 11.3 25.3 39.4 17.2 8.8 126.1 6.0 10.7 11.3 6.4 15.1 12.4 1.514.2 10.0 16.3 134.3 25.2 14.4 24.0 25.8 29.3 213.4 55.5 96.8 24.3 261.7 27.0 14.6 11.4 25.0 39.8 17.7 9.0 128.7 5.9 10.8 11.2 6.4 14.9 12.4 Utah Provo-Orem Salt Lake City-Ogden 57.2 4.6 47.2 57.0 4.6 46.4 57.2 4.6 46.8 297.3 56.7 196.9 304.8 58.1 200.4 306.9 58.6 202.2 165.9 17.7 107.3 169.8 16.8 113.1 170.4 17.8 112.4 Vermont Barre-Montpelier Burlington 12.8 2.6 5.3 12.7 2.6 5.6 12.7 2.6 5.6 88.8 8.8 31.4 91.7 9.0 32.0 91.9 9.1 32.0 39.7 7.0 13.2 40.7 6.9 13.9 40.3 7.2 13.7 Virginia Bristol Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News Northern Virginia Richmond-Petersburg Roanoke 186.5 1.2 4.9 1.5 4.3 35.8 61.4 48.4 10.4 189.3 1.3 4.8 1.5 4.3 35.8 62.5 51.0 10.3 189.8 1.3 4.8 1.5 4.3 36.0 62.9 51.0 10.4 1,096.0 8.7 21.5 9.9 27.4 207.4 452.5 146.8 42.4 1,124.7 8.7 22.4 10.2 28.6 208.7 475.0 150.0 43.0 1,131.7 8.7 22.1 10.3 28.7 208.3 477.3 150.3 43.0 580.8 5.5 24.0 5.3 13.0 140.5 175.7 97.7 16.2 598.3 5.7 25.9 5.6 13.2 143.0 184.2 103.8 17.2 593.5 5.5 25.5 5.4 13.1 142.7 182.5 102.3 16.8 Washington Seattle-Bellevue-Everett Spokane Tacoma 139.3 85.7 11.2 13.0 140.7 85.1 11.2 12.7 141.0 85.0 11.2 12.9 746.0 415.8 57.5 68.6 768.2 424.6 60.5 71.3 774.1 429.6 61.4 71.2 444.8 175.3 28.5 47.2 461.7 182.8 28.8 49.7 455.5 178.9 28.5 49.1 See footnotes at end of table. 92 ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Total Mining Construction State and area August 1999 July 2000 August 2000P 726.8 137.2 122.3 70.1 66.7 736.3 139.2 124.6 70.2 68.7 729.7 137.5 125.1 70.5 67.8 2,798.5 204.0 75.2 145.5 70.2 54.5 69.3 264.9 865.8 82.9 62.5 68.9 2,832.5 209.8 78.0 151.1 70.6 54.2 69.2 285.8 877.7 82.1 64.4 70.4 2,836.0 210.1 77.4 152.3 70.9 55.3 70.1 286.3 880.4 82.3 64.2 70.6 Wyoming Casper 237.9 30.8 244.0 31.6 241.9 31.8 Puerto Rico Caguas Mayaguez Ponce San Juan-Bayamon 979.4 67.6 67.5 75.8 612.8 1,018.3 70.5 68.2 80.6 630.0 975.7 68.2 64.6 77.3 614.8 West Virginia Charleston Huntington-Ashland Parkersburg-Marietta Wheeling Wisconsin Appleton-Oshkosh-Neenah Eau Claire Green Bay Janesville-Beloit Kenosha LaCrosse Madison Milwaukee-Waukesha Racine Sheboygan Wausau Virgin Islands 41.0 2 2 ( ) ( ) See footnotes at end of table. 93 August 1999 July 2000 20.9 2.2 1.0 .3 1.7 21.3 2.3 1.1 .3 1.5 3.1 (1) (1) (1) (1) 1 ) 1 ) 1 ) 1 ) ;> ) 16.1 1.9 1.4 1 2.8 133.0 12.8 3.8 7.9 3.4 2.4 3.5 15.3 36.4 3.9 2.8 3.5 135.1 14.2 4.0 8.5 3.7 2.5 3.6 14.5 37.1 3.7 3.0 3.4 135.2 14.2 4.0 8.5 3.6 2.5 3.6 14.5 37.5 3.8 3.0 3.4 16.6 1.9 19.3 2.2 19.3 2.1 20.0 2.1 1.5 68.7 4.2 4.9 6.6 45.6 69.0 4.0 3.9 6.7 45.7 67.9 4.0 4.0 6.8 45.7 ]) 1 1) ) 1.5 .7 ( ) 35.7 7.7 5.9 4.5 3.1 ( ) 1 ) 1 ) 1 ) 1 ) (1) (1) (1) (1) (1) (1) ) ) 1 ( ) 1 .7 .7 1 ( ) 1 August 2000P 35.5 7.6 5.9 4.1 3.1 []) (11 ) 16.2 1.9 July 2000 36.0 7.5 5.9 4.3 2.8 (1) (J) ((11)) August 1999 21.4 2.4 1.1 .3 1.5 2.8 (1) (1) (1) (1) (1) (1) (1) (1) M 1 1 August 2000P ( ) 1.8 (2) (2) ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Manufacturing Transportation and public utilities Wholesale and retail trade State and area August 1999 West Virginia Charleston Huntington-Ashland Parkersburg-Marietta Wheeling Wisconsin Appleton-Oshkosh-Neenah Eau Claire Green Bay Janesville-Beloit Kenosha LaCrosse Madison Milwaukee-Waukesha Racine Sheboygan Wausau Wyoming Casper Puerto Rico Caguas Mayaguez Ponce San Juan-Bayamon Virgin Islands July 2000 August 2000P July 2000 August 2000P August 1999 July 2000 August 2000P 81.7 10.5 15.4 13.3 6.0 82.0 10.1 14.6 12.7 6.0 81.6 10.0 14.6 12.7 6.0 38.6 9.7 6.7 2.7 2.6 37.9 9.4 7.2 2.8 2.6 35.2 8.0 7.5 2.6 2.5 164.0 31.7 31.6 17.8 17.1 165.8 32.8 31.8 18.4 17.8 166.0 33.0 32.1 18.7 17.6 622.5 61.7 13.7 30.3 20.4 12.2 11.4 31.0 174.7 24.1 27.3 19.4 622.1 60.6 13.1 30.5 19.7 10.5 11.2 31.7 173.7 23.4 28.3 19.3 622.2 60.7 13.1 30.3 19.9 11.7 11.6 31.6 173.1 23.1 28.5 19.3 129.6 8.6 3.4 10.9 3.1 1.9 3.4 9.5 39.2 2.3 1.5 3.3 130.9 9.2 3.4 11.4 3.2 2.1 3.6 9.5 38.8 2.2 1.4 3.2 131.6 9.3 3.4 11.4 3.4 2.0 3.6 9.5 38.9 2.2 1.4 3.2 639.1 42.7 20.8 33.7 16.8 14.4 18.1 61.6 187.8 17.6 11.0 17.1 649.2 43.7 21.7 34.1 17.3 15.1 18.0 61.7 192.7 17.9 10.9 17.8 651.6 44.2 21.5 34.4 17.4 15.0 18.1 62.1 192.8 17.9 11.0 17.8 11.4 1.5 11.1 1.4 11.0 1.4 14.5 1.7 14.5 1.7 14.5 1.8 56.5 8.5 56.8 8.6 56.9 8.7 142.4 14.1 15.0 9.1 66.4 140.3 14.0 14.4 8.9 66.5 141.1 14.2 14.5 8.9 66.9 34.7 1.6 1.2 2.9 25.4 33.7 1.5 1.3 2.6 24.1 33.8 1.4 1.3 2.7 24.7 204.7 16.5 12.2 13.6 133.8 203.3 16.1 11.8 14.3 132.9 204.5 16.1 11.9 14.4 134.8 2.5 (2) (2) See footnotes at end of table. August 1999 94 2.3 (2) (2) 8.4 (2) (2) ESTABLISHMENT DATA STATE AND AREA EMPLOYMENT NOT SEASONALLY ADJUSTED B-14. Employees on nonfarm payrolls in States and selected areas by major industry — Continued (In thousands) Finance, insurance, and real estate Services Government State and area August 1999 West Virginia Charleston Huntington-Ashland Parkersburg-Marietta Wheeling Wisconsin Appleton-Oshkosh-Neenah Eau Claire Green Bay Janesville-Beloit Kenosha LaCrosse Madison Milwaukee-Waukesha Racine Sheboygan Wausau Wyoming Casper Puerto Rico Caguas Mayaguez Ponce San Juan-Bayamon Virgin Islands July 2000 August 2000P July 2000 August 2000P August 1999 July 2000 August 2000P 30.0 8.0 4.7 2.7 2.8 29.9 8.3 5.1 2.7 2.8 30.0 8.2 5.1 2.7 2.8 218.8 43.7 37.2 20.2 23.5 222.1 43.9 38.6 20.3 24.6 223.3 44.3 38.5 20.3 24.1 136.8 148.1 9.6 2.5 152.3 9.8 2.6 152.2 9.8 2.6 11.8 1.9 14.1 14.3 1.8 1.6 2.6 23.3 1.6 2.7 23.6 1.6 2.7 23.6 59.5 2.5 2.2 61.3 2.5 2.2 5.2 762.4 49.9 22.4 37.5 16.2 14.2 21.6 74.7 289.5 23.1 12.2 14.8 9.6 5.5 6.7 9.6 6.4 5.1 61.3 2.5 2.2 5.2 759.0 49.9 22.5 37.1 16.2 14.1 21.4 74.6 287.0 22.7 12.1 14.6 370.2 21.3 9.6 15.4 1.8 753.0 47.2 21.4 35.4 16.3 14.4 21.7 73.3 284.0 22.9 12.4 13.8 6.8 8.6 8.3 8.9 70.2 87.3 9.8 6.1 6.8 8.2 1.2 8.3 1.2 8.4 1.3 59.7 9.0 65.5 9.7 61.9 9.7 52.2 4.8 52.3 5.0 52.6 4.9 48.7 1.6 2.0 2.2 38.9 48.6 1.7 2.0 2.1 38.1 48.5 1.7 1.9 2.1 38.3 203.8 12.6 12.1 17.8 134.4 205.3 13.1 11.4 17.4 135.0 207.6 12.8 11.4 17.3 137.8 275.0 17.0 20.1 23.6 167.6 316.6 20.1 23.4 28.6 187.0 270.8 18.0 19.6 25.1 165.9 9.9 2.0 1 23.9 19.8 8.8 10.2 8.4 7.5 8.6 70.8 84.3 141.8 24.8 20.3 8.9 10.3 381.0 22.5 10.7 15.5 8.7 8.2 8.6 70.2 87.2 136.5 23.9 20.3 8.7 10.2 377.8 22.0 10.3 15.9 14.1 of 35,000 to 45,000. P = preliminary. NOTE: Area definitions are published annually in the May issue of this publication. All State and area data (with the exception of data for New Jersey) have been adjusted to March 1999 benchmarks. Combined with construction. Not available. Nonfarm payroll employment levels for Michigan are understated and will be corrected with the release of final estimates for August 2000 on Oct. 20. The error occurred in the latest benchmark revision and affects July 1998 forward. The upward adjustment to the March 1999 benchmark reference month is expected to be in the range 2 3 August 1999 95 ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry Industry 1987 SIC Code Total private Goods-producing Mining Average weekly hours Average overtime hours Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P 35.1 34.3 34.9 34.7 34.4 41.4 40.9 40.9 41.1 41.3 44.5 44.3 45.3 45.0 45.4 Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P 4.8 4.9 Metal mining Iron ores Copper ores 10 101 102 44.4 43.2 47.0 46.4 45.2 50.8 44.5 42.9 46.7 43.2 43.8 44.9 Coal mining Bituminous coal and lignite mining 12 122 45.2 45.4 44.4 44.5 43.6 43.7 45.4 45.5 Oil and gas extraction Crude petroleum and natural gas Oil and gas field services 13 131 138 43.1 40.8 44.7 43.0 40.6 44.5 45.0 44.7 45.1 44.2 41.5 45.6 Nonmetallic minerals, except fuels 14 142 47.3 49.1 46.8 48.1 47.5 49.6 47.5 49.2 40.0 38.6 40.3 40.2 15 152 153 154 38.9 37.7 39.5 40.3 37.6 36.9 38.7 38.2 38.6 37.2 39.0 40.3 38.7 37.2 34.6 40.4 16 161 162 44.4 46.2 43.4 43.1 44.9 42.2 44.9 46.5 44.1 44.8 46.7 43.9 17 39.4 39.8 37.6 40.5 36.7 37.7 36.9 37.9 38.1 37.3 38.2 35.4 36.5 35.3 39.7 40.3 37.4 40.6 37.0 37.6 37.2 39.6 39.8 37.4 40.8 37.0 37.3 37.2 41.8 42.3 41.8 42.7 43.0 43.5 41.7 42.2 41.2 42.2 43.0 45.0 39.3 39.8 39.7 40.4 41.7 42.1 40.9 41.7 42.4 42.7 41.8 41.0 41.0 40.8 41.7 41.1 39.0 38.3 38.1 40.5 41.1 41.6 40.7 41.3 41.6 42.0 40.7 41.1 40.6 40.9 40.6 42.1 39.4 38.2 37.4 40.3 41.4 41.9 40.8 42.2 41.5 41.9 40.3 41.3 41.1 40.7 42.3 40.9 39.2 38.0 37.4 40.2 41.7 42.2 40.7 4.8 4.9 4.7 5.9 5.4 5.8 3.8 4.9 4.0 5.3 5.3 6.3 3.5 3.2 2.8 3.7 4.9 4.9 4.1 4.6 5.0 5.4 3.6 4.3 4.1 4.2 4.6 5.3 3.3 2.5 2.1 3.8 4.4 4.4 4.2 5.3 4.9 5.3 3.5 4.2 3.4 4.5 4.6 5.3 3.2 2.6 2.2 3.8 4.6 4.7 4.1 5.3 4.8 5.2 3.2 4.1 3.7 3.9 5.1 5.0 3.3 2.5 2.2 3.8 40.7 39.3 39.7 38.9 39.7 39.8 43.2 41.9 42.7 40.7 40.3 39.0 38.9 38.8 39.8 40.0 43.1 41.0 42.6 40.8 39.2 37.6 38.1 37.2 39.4 36.0 43.2 38.9 42.1 37.8 39.8 38.2 38.4 37.7 39.1 38.9 43.6 40.7 42.2 38.7 40.1 4.1 3.3 3.5 2.8 2.6 4.2 5.0 6.0 5.4 3.6 4.0 3.2 3.3 2.8 2.6 4.1 5.0 5.2 5.3 3.6 3.4 2.4 2.3 2.2 2.9 3.2 5.7 3.2 5.2 3.9 3.6 2.5 2.4 2.1 2.7 3.6 6.1 3.9 5.2 4.0 Crushed and broken stone Construction General building contractors Residential building construction Operative builders Nonresidential building construction Heavy construction, except building Highway and street construction Heavy construction, except highway Special trade contractors Plumbing, heating, and air conditioning Painting and paper hanging Electrical work Masonry, stonework, and plastering Carpentry and floor work Roofing, siding, and sheet metal work Manufacturing Durable goods Lumber and wood products Logging Sawmills and planing mills Sawmills and planing mills, general Hardwood dimension and flooring mills .... Millwork, plywood, and structural members Millwork Wood kitchen cabinets Hardwood veneer and plywood Softwood veneer and plywood Wood containers Wood buildings and mobile homes Mobile homes Miscellaneous wood products Furniture and fixtures Household furniture Wood household furniture Upholstered household furniture Metal household furniture Mattresses and bedsprings Office furniture Public building and related furniture Partitions and fixtures Miscellaneous furniture and fixtures 171 172 173 174 175 176 24 241 242 2421 2426 243 2431 2434 2435 2436 244 245 2451 249 25 251 2511 2512 2514 2515 252 253 254 259 See footnotes at end of table. 96 40.0 ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Total private Goods-producing Mining Average hourly earnings Average weekly earnings Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P $13.20 $13.38 $13.68 $13.67 $13.88 14.95 15.08 15.48 15.50 17.05 17.13 17.13 16.94 Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P $463.32 $458.93 $477.43 $474.35 $477.47 15.62 618.93 616.77 633.13 637.05 645.11 17.19 758.73 758.86 775.99 762.30 780.43 Metal mining Iron ores Copper ores 10 101 102 17.95 19.21 16.46 18.29 20.28 16.61 19.18 20.80 17.07 19.06 20.37 17.16 796.98 829.87 773.62 848.66 916.66 843.79 853.51 892.32 797.17 823.39 892.21 770.48 Coal mining Bituminous coal and lignite mining 12 122 19.39 19.63 19.39 19.60 19.36 19.53 19.32 19.49 876.43 891.20 860.92 872.20 844.10 853.46 877.13 886.80 Oil and gas extraction Crude petroleum and natural gas Oil and gas field services 13 131 138 17.01 22.94 13.48 17.08 23.01 13.62 16.79 23.36 13.56 16.40 22.67 13.58 733.13 935.95 602.56 734.44 755.55 934.21 1,044.19 606.09 611.56 724.88 940.81 619.25 Nonmetallic minerals, except fuels 14 142 15.09 14.62 15.16 14.61 15.70 15.28 15.73 15.36 713.76 717.84 709.49 702.74 745.75 757.89 747.18 755.71 17.31 17.46 17.95 18.05 692.40 673.96 723.39 725.61 15 152 153 154 16.56 15.35 15.22 17.83 16.77 15.63 15.44 18.02 17.09 15.77 16.49 18.47 17.28 15.93 16.75 18.67 644.18 578.70 601.19 718.55 630.55 576.75 597.53 688.36 659.67 586.64 643.11 744.34 668.74 592.60 579.55 754.27 16 161 162 17.09 17.58 16.82 17.34 17.90 17.04 17.60 18.08 17.34 17.73 18.23 17.46 758.80 812.20 729.99 747.35 803.71 719.09 790.24 840.72 764.69 794.30 851.34 766.49 17 171 17.60 17.90 15.54 19.34 17.34 17.29 15.44 17.70 17.97 15.77 19.40 17.35 17.53 15.47 18.31 18.70 15.81 20.42 17.74 18.21 1591 18.36 18.77 15.97 20.47 17.85 18.33 15.81 693.44 712.42 584.30 783.27 636.38 651.83 569.74 670.83 684.66 588.22 741.08 614.19 639.85 546.09 726.91 753.61 591.29 829.05 656.38 684.70 591.85 727.06 747.05 597.28 835.18 660.45 683.71 588.13 13.95 14.47 11.54 13.57 11.43 11.90 9.65 11.61 11.60 11.61 10.31 14.15 9.32 11.61 11.80 10.96 14.11 14.62 11.56 13.44 11.48 11.95 9.77 11.63 11.82 11.50 10.31 14.07 9.37 11.58 11.72 11.10 14.37 14.86 11.87 13.69 11.86 12.35 10.15 11.97 11.99 11.93 11.09 14.39 9.50 11.97 12.12 11.23 14.38 14.94 11.83 13.58 11.79 12.27 10.13 11.95 11.92 11.99 10.90 14.44 9.51 11.98 12.10 11.21 14.51 15.06 11.90 583.11 612.08 482.37 579.44 491.49 517.65 402.41 489.94 477.92 489.94 443.33 636.75 366.28 462.08 468.46 442.78 588.39 615.50 472.80 560.45 486.75 510.27 408.39 476.83 484.62 469.20 429.93 578.28 365.43 443.51 446.53 449.55 590.61 618.18 483.11 565.40 493.38 518.70 413.11 491.97 486.79 487.94 450.25 605.82 374.30 457.25 453.29 452.57 595.33 625.99 482.66 573.08 489.29 514.11 408.24 493.54 489.91 487.99 461.07 590.60 372.79 455.24 452.54 450.64 605.07 635.53 484.33 11.28 10.72 10.25 11.42 9.94 11.44 11.76 12.60 11.94 11.35 11.33 10.80 10.27 11.60 10.26 11.38 11.71 12.55 12.05 11.47 11.80 11.05 10.50 11.85 10.28 11.84 13.17 12.71 12.50 12.01 11.82 11.09 10.50 11.95 10.29 11.72 13.17 12.83 12.48 11.95 11.89 459.10 421.30 406.93 444.24 394.62 455.31 508.03 527.94 509.84 461.95 456.60 421.20 399.50 450.08 408.35 455.20 504.70 514.55 513.33 467.98 462.56 415.48 400.05 440.82 405.03 426.24 568.94 494.42 526.25 453.98 470.44 423.64 403.20 450.52 402.34 455.91 574.21 522.18 526.66 462.47 476.79 Crushed and broken stone Construction General building contractors Residential building construction Operative builders Nonresidential building construction Heavy construction, except building Highway and street construction Heavy construction, except highway Special trade contractors Plumbing, heating, and air conditioning Painting and paper hanging Electrical work Masonry, stonework, and plastering Carpentry and floor work Roofing, siding, and sheet metal work 172 173 174 175 176 Manufacturing Durable goods Lumber and wood products Logging Sawmills and planing mills Sawmills and planing mills, general Hardwood dimension and flooring mills .... Millwork, plywood, and structural members Millwork Wood kitchen cabinets Hardwood veneer and plywood Softwood veneer and plywood Wood containers Wood buildings and mobile homes Mobile homes Miscellaneous wood products 24 241 242 Furniture and fixtures Household furniture Wood household furniture Upholstered household furniture Metal household furniture Mattresses and bedsprings Office furniture Public building and related furniture Partitions and fixtures Miscellaneous furniture and fixtures 25 251 2421 2426 243 2431 2434 2435 2436 244 245 2451 249 2511 2512 2514 2515 252 253 254 259 See footnotes at end of table. 97 18.19 727.60 ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average weekly hours Average overtime hours Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 32 321 322 3221 3229 323 324 325 326 327 3271 3272 3273 329 3291 3292 44.1 43.4 42.4 44.4 41.1 43.4 43.7 41.9 41.6 46.3 48.6 45.0 46.6 42.5 41.2 48.2 44.0 43.6 44.2 45.8 43.2 43.1 44.7 41.6 41.2 45.3 47.5 43.6 45.4 43.7 42.9 47.3 43.8 43.7 42.8 44.6 41.8 41.5 43.5 42.0 40.4 45.8 48.5 44.0 46.5 42.6 42.4 45.2 43.8 44.1 42.6 44.7 41.3 42.2 42.5 42.2 40.0 45.8 47.8 44.2 46.4 42.7 42.8 44.0 43.9 7.0 5.4 5.4 6.3 4.8 5.3 5.4 5.4 4.6 9.3 10.1 8.1 9.9 5.5 3.0 9.6 6.8 7.0 7.1 8.0 6.5 5.4 5.6 5.2 4.9 8.2 9.2 6.6 8.7 6.0 3.4 10.4 6.6 5.9 5.1 6.3 4.4 4.2 5.6 5.1 4.8 8.8 10.4 7.4 9.5 4.7 2.4 5.9 6.7 6.0 5.2 6.7 4.3 4.8 5.3 5.2 4.4 8.8 10.4 7.6 9.3 4.8 2.3 4.8 Primary metal industries Blast furnaces and basic steel products Blast furnaces and steel mills Steel pipe and tubes Iron and steel foundries Gray and ductile iron foundries Malleable iron foundries Steel foundries, nee Primary nonferrous metals Primary aluminum Nonferrous rolling and drawing Copper rolling and drawing Aluminum sheet, plate, and foil Nonferrous wire drawing and insulating Nonferrous foundries (castings) Aluminum foundries 33 331 3312 3317 332 3321 3322 3325 333 3334 335 44.1 44.9 45.4 44.2 43.8 45.2 46.9 40.2 43.8 43.9 44.3 42.6 44.5 44.2 43.2 43.9 44.3 44.9 45.2 45.2 44.3 46.0 43.2 41.5 44.6 44.8 44.4 41.8 44.5 44.9 43.2 43.2 43.5 44.9 46.0 42.7 43.3 43.8 39.9 42.2 42.5 40.8 43.3 41.8 43.6 42.7 41.4 41.3 43.4 44.1 44.7 43.8 43.7 44.4 42.1 41.6 42.1 41.1 43.6 41.1 45.0 43.2 42.3 44.0 43.8 44.0 6.7 6.7 7.1 6.1 6.7 7.9 7.5 4.5 6.6 7.1 7.8 8.0 9.6 7.4 5.3 5.3 6.9 6.6 6.8 7.0 7.0 8.5 9.2 4.2 7.6 8.5 8.1 8.6 10.4 7.7 5.7 5.2 6.4 6.9 7.6 6.1 6.0 6.7 5.2 4.4 6.3 6.1 7.7 8.1 9.1 8.1 4.0 3.9 6.3 6.5 6.9 6.1 6.2 7.0 4.9 4.0 6.1 6.2 7.7 7.6 9.8 8.2 4.4 4.6 Fabricated metal products Metal cans and shipping containers Metal cans Cutlery, handtools, and hardware Hand and edge tools, and blades and handsaws Hardware, nee Plumbing and heating, except electric Plumbing fixture fittings and trim Heating equipment, except electric Fabricated structural metal products Fabricated structural metal Metal doors, sash, and trim Fabricated plate work (boiler shops) Sheet metal work Architectural metal work Screw machine products, bolts, etc Screw machine products Bolts, nuts, rivets, and washers Metal forgings and stampings Iron and steel forgings Automotive stampings Metal stampings, nee Metal services, nee Plating and polishing Metal coating and allied services Ordnance and accessories, nee Ammunition, except for small arms, nee Misc. fabricated metal products Valves and pipe fittings, nee Misc. fabricated wire products 34 341 3411 342 3423,5 3429 343 3432 3433 344 3441 3442 3443 3444 3446 345 3451 3452 346 3462 3465 3469 347 42.3 45.6 45.8 41.8 41.9 42.1 43.4 42.1 42.3 42.2 43.1 42.0 41.9 41.5 42.0 42.2 40.9 43.6 43.1 41.2 44.8 41.4 41.8 41.3 42.7 42.0 44.8 41.7 40.6 41.3 41.9 46.0 46.3 41.4 42.6 41.0 42.1 40.4 41.3 41.5 42.2 40.9 41.6 41.3 40.5 41.8 41.1 42.6 42.8 39.8 44.5 41.4 41.7 41.2 42.5 42.2 44.3 41.2 39.2 40.7 41.7 44.6 44.5 40.9 40.9 41.3 41.3 41.1 40.7 42.2 42.7 41.3 41.8 42.2 42.1 41.3 41.4 41.3 41.4 43.5 41.0 40.7 41.4 40.9 42.3 42.3 43.3 41.2 41.4 41.6 42.0 44.4 44.1 41.9 41.5 42.5 41.4 40.4 42.2 42.1 42.5 41.4 42.1 41.8 41.4 41.9 41.4 42.5 42.5 43.3 43.1 41.0 41.5 41.2 42.1 41.5 43.7 41.5 41.1 41.2 42.4 4.9 7.7 7.7 4.3 3.8 4.7 5.0 4.6 4.3 4.9 5.9 4.5 4.7 4.2 4.7 4.7 3.9 5.5 5.8 4.6 7.0 4.5 4.8 4.6 5.1 4.0 3.4 4.1 3.1 4.0 4.8 8.3 8.4 4.3 4.4 4.4 4.5 3.9 3.8 4.6 5.5 4.1 4.5 4.4 4.1 4.6 4.0 5.2 5.9 4.5 7.3 4.4 4.8 4.6 5.2 3.9 3.4 4.0 3.3 3.7 4.5 7.3 7.2 3.8 3.7 4.1 4.4 4.0 3.8 5.0 6.0 4.3 4.6 4.8 4.4 4.3 4.4 4.2 4.2 6.1 3.6 3.9 4.6 4.5 4.8 4.4 3.3 4.0 4.2 4.0 4.6 7.1 7.0 4.0 3.7 4.4 4.4 3.0 4.6 4.8 5.6 4.4 4.6 4.7 4.1 4.5 4.6 4.5 5.0 6.0 5.3 4.1 4.6 4.5 4.7 3.9 3.2 4.0 4.3 3.9 Durable goods—Continued Stone, clay, and glass products Flat glass Glass and glassware, pressed or blown Glass containers Pressed and blown glass, nee Products of purchased glass Cement, hydraulic Structural clay products Pottery and related products Concrete, gypsum, and plaster products Concrete block and brick Concrete products, nee Ready-mixed concrete Misc. nonmetallic mineral products Abrasive products Asbestos products 3351 3353 3357 336 3365 3471 3479 348 3483 349 3494 3496 See footnotes at end of table. 98 Sept. 2000P ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average weekly earnings Average hourly earnings Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P $13.94 18.65 15.74 17.02 14.88 12.36 18.99 12.41 11.96 13.76 13.31 12.26 14.65 14.05 13.07 14.30 $14.10 19.07 16.12 17.32 15.29 12.49 19.28 12.45 12.12 13.81 13.27 12.18 14.74 14.28 13.24 14.35 $14.42 19.34 15.98 17.19 15.21 12.79 19.48 12.52 12.35 14.27 13.57 12.68 15.21 14.84 13.86 14.18 $14.41 19.29 15.98 17.26 15.15 13.00 19.32 12.53 12.23 14.26 13.67 12.70 15.18 14.78 13.88 14.10 $14.54 $614.75 809.41 667.38 755.69 611.57 536.42 829.86 519.98 497.54 637.09 646.87 551.70 682.69 597.13 538.48 689.26 $620.40 831.45 712.50 793.26 660.53 538.32 861.82 517.92 499.34 625.59 630.33 531.05 669.20 624.04 568.00 678.76 $631.60 845.16 683.94 766.67 635.78 530.79 847.38 525.84 498.94 653.57 658.15 557.92 707.27 632.18 587.66 640.94 $631.16 850.69 680.75 771.52 625.70 548.60 821.10 528.77 489.20 653.11 653.43 561.34 704.35 631.11 594.06 620.40 $638.31 15.98 18.93 20.78 14.23 14.82 15.48 14.36 13.94 17.73 17.82 14.66 15.88 17.40 14.17 12.95 12.32 16.18 18.99 20.80 14.51 15.14 15.85 14.61 14.16 18.31 18.61 14.93 16.17 17.86 14.37 13.19 12.65 16.68 19.78 21.69 14.74 15.59 16.73 15.67 13.72 18.56 18.75 15.12 15.94 17.69 14.91 13.37 12.41 16.55 19.49 21.42 14.55 15.55 16.61 15.84 13.89 18.47 18.71 15.06 15.84 17.62 14.87 13.47 12.45 16.67 19.63 704.72 849.96 943.41 628.97 649.12 699.70 673.48 560.39 776.57 782.30 649.44 676.49 774.30 626.31 559.44 540.85 716.77 852.65 940.16 655.85 670.70 729.10 631.15 587.64 816.63 833.73 662.89 675.91 794.77 645.21 569.81 546.48 725.58 888.12 997.74 629.40 675.05 732.77 625.23 578.98 788.80 765.00 654.70 666.29 771.28 636.66 553.52 512.53 718.27 859.51 957.47 637.29 679.54 737.48 666.86 577.82 777.59 768.98 656.62 651.02 792.90 642.38 569.78 547.80 730.15 863.72 13.52 16.57 17.51 12.36 12.77 12.12 12.14 11.93 12.46 13.00 13.37 11.00 14.22 13.48 12.60 13.86 13.19 14.55 15.95 15.12 17.95 13.28 11.59 11.45 11.79 15.30 16.02 13.04 13.23 11.54 13.64 16.85 17.81 12.45 12.90 12.20 12.16 11.89 12.61 13.06 13.41 11.07 14.27 13.52 12.80 13.92 13.27 14.60 16.20 15.26 18.26 13.33 11.69 11.58 11.86 15.43 16.42 13.12 13.28 11.54 13.82 17.10 18.09 12.71 13.18 12.34 12.57 12.21 13.01 13.38 13.85 11.22 14.38 14.01 12.98 14.25 13.64 14.89 16.16 15.99 17.98 13.71 12.00 11.90 12.17 15.90 17.52 13.33 13.27 11.70 13.90 16.96 17.99 12.74 13.21 12.38 12.69 12.17 13.08 13.39 13.87 11.20 14.39 13.99 13.03 14.36 13.69 15.05 16.42 16.10 18.35 13.72 12.02 11.88 12.24 16.04 17.46 13.33 13.33 11.78 14.03 571.90 755.59 801.96 516.65 535.06 510.25 526.88 502.25 527.06 548.60 576.25 462.00 595.82 559.42 529.20 584.89 539.47 634.38 687.45 622.94 804.16 549.79 484.46 472.89 503.43 642.60 717.70 543.77 537.14 476.60 571.52 775.10 824.60 515.43 549.54 500.20 511.94 480.36 520.79 541.99 565.90 452.76 593.63 558.38 518.40 581.86 545.40 621.96 693.36 607.35 812.57 551.86 487.47 477.10 504.05 651.15 727.41 540.54 520.58 469.68 576.29 762.66 805.01 519.84 539.06 509.64 519.14 501.83 529.51 564.64 591.40 463.39 601.08 591.22 546.46 588.53 564.70 614.96 669.02 695.57 737.18 558.00 496.80 486.71 514.79 672.57 758.62 549.20 549.38 486.72 583.80 753.02 793.36 533.81 548.22 526.15 525.37 491.67 551.98 563.72 589.48 463.68 605.82 584.78 539.44 601.68 566.77 639.63 697.85 697.13 790.89 562.52 498.83 489.46 515.30 665.66 763.00 553.20 547.86 485.34 594.87 Durable goods—Continued Stone, clay, and glass products Flat glass Glass and glassware, pressed or blown Glass containers Pressed and blown glass, nee Products of purchased glass Cement, hydraulic Structural clay products Pottery and related products Concrete, gypsum, and plaster products Concrete block and brick Concrete products, nee Ready-mixed concrete Misc. nonmetallic mineral products Abrasive products Asbestos products Primary metal industries Blast furnaces and basic steel products Blast furnaces and steel mills Steel pipe and tubes Iron and steel foundries Gray and ductile iron foundries Malleable iron foundries Steel foundries, nee Primary nonferrous metals Primary aluminum Nonferrous rolling and drawing Copper rolling and drawing Aluminum sheet, plate, and foil Nonferrous wire drawing and insulating Nonferrous foundries (castings) Aluminum foundries 32 321 322 3221 3229 323 324 325 326 327 3271 3272 3273 329 3291 3292 33 331 3312 3317 , 332 3321 3322 3325 333 3334 335 3351 3353 3357 336 3365 34 341 3411 Metal cans 342 Cutlery, handtools, and hardware Hand and edge tools, and blades and handsaws 3423,5 Hardware, nee 3429 Plumbing and heating, except electric 343 3432 Plumbing fixture fittings and trim 3433 Heating equipment, except electric 344 Fabricated structural metal products Fabricated metal products Metal cans and shipping containers Fabricated structural metal Metal doors, sash, and trim Fabricated plate work (boiler shops) Sheet metal work Architectural metal work Screw machine products, bolts, etc Screw machine products Bolts, nuts, rivets, and washers Metal forgings and stampings Iron and steel forgings Automotive stampings Metal stampings, nee Metal services, nee Plating and polishing Metal coating and allied services Ordnance and accessories, nee Ammunition, except for small arms, nee Misc. fabricated metal products Valves and pipe fittings, nee Misc. fabricated wire products 3441 3442 3443 3444 3446 345 3451 3452 346 3462 3465 3469 347 3471 3479 348 3483 349 3494 3496 See footnotes at end of table. 99 ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED EM5. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry Durable goods—Continued Industrial machinery and equipment Engines and turbines Turbines and turbine generator sets Internal combustion engines, nee Farm and garden machinery Farm machinery and equipment Construction and related machinery Construction machinery Mining machinery Oil and gas field machinery Conveyors and conveying equipment Industrial trucks and tractors Metalworking machinery Machine tools, metal cutting types Machine tools, metal forming types Special dies, tools, jigs, and fixtures Machine tool accessories Power driven handtools Special industry machinery Textile machinery Printing trades machinery Food products machinery General industrial machinery Pumps and pumping equipment Ball and roller bearings Air and gas compressors Blowers and fans Speed changers, drives, and gears Power transmission equipment, nee Computer and office equipment Electronic computers Computer terminals, calculators, and office machines, nee Refrigeration and service machinery Refrigeration and heating equipment Misc. industrial and commercial machinery Carburetors, pistons, rings, valves Scales, balances, and industrial machinery, nee .. Electronic and other electricai equipment.. Electric distribution equipment Transformers, except electronic Switchgear and switchboard apparatus . Electrical industrial apparatus Motors and generators Relays and industrial controls Household appliances Household refrigerators and freezers .... Household laundry equipment Electric housewares and fans Electric lighting and wiring equipment Electric lamps Current-carrying wiring devices Noncurrent-carrying wiring devices Residential lighting fixtures Household audio and video equipment ... Household audio and video equipment . Communications equipment Telephone and telegraph apparatus Electronic components and accessories . Electron tubes Semiconductors and related devices Electronic components, nee Misc. electrical equipment and supplies .. Storage batteries Engine electrical equipment 1987 SIC Code Average weekly hours Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 35 351 3511 3519 352 3523 353 3531 3532 3533 3535 3537 354 3541 3542 3544 3545 3546 355 3552 3555 3556 356 3561 3562 3563 3564 3566 3568 357 3571 42.1 43.9 46.1 43.2 39.8 40.7 42.3 42.3 39.9 43.9 41.5 41.7 42.3 41.7 43.2 42.9 40.7 41.3 41.5 41.0 39.4 42.1 41.7 40.1 43.4 40.8 42.4 40.3 41.0 41.0 40.7 41.7 44.6 45.8 44.2 40.4 40.7 42.0 42.3 38.8 44.4 40.9 40.7 41.9 41.4 43.7 42.8 39.7 41.0 41.4 40.7 39.7 41.8 41.7 40.6 42.3 41.0 41.9 40.5 41.9 40.9 40.8 41.9 41.9 44.1 41.2 40.2 40.6 42.6 41.7 38.4 47.6 41.8 41.9 42.2 42.8 45.0 43.0 40.6 38.3 42.6 40.5 41.2 42.4 42.5 41.3 44.1 41.8 43.5 40.9 42.2 39.9 39.5 41.9 42.7 44.2 42.2 39.8 40.2 42.6 41.0 39.8 48.3 41.5 42.7 42.4 42.7 44.4 43.5 40.6 39.4 42.6 41.0 40.4 42.6 42.4 41.4 44.2 41.7 42.7 40.8 42.1 39.6 39.2 42.1 4.7 6.7 6.9 6.6 2.7 3.1 4.8 4.5 2.7 7.5 4.2 3.8 5.3 4.3 5.1 5.9 4.1 3.8 4.3 3.8 3.4 4.2 4.4 3.7 6.5 3.8 3.8 3.8 4.3 3.3 3.5 4.6 7.3 6.5 7.5 2.6 2.9 4.7 4.4 2.3 8.0 3.8 3.5 5.1 4.1 5.5 5.7 3.8 4.1 4.1 3.2 3.4 4.3 4.6 4.0 6.6 4.0 3.5 3.9 4.9 3.6 3.2 4.6 4.5 5.0 4.4 3.5 4.0 5.1 4.5 3.8 8.7 4.6 3.8 5.5 5.2 6.5 6.0 4.6 2.4 5.0 3.4 5.2 4.7 4.8 4.0 6.9 4.2 5.1 4.0 4.4 2.2 1.4 4.7 4.7 5.2 4.6 3.7 4.2 5.1 4.0 3.8 9.8 4.4 4.3 5.5 5.3 5.6 6.1 4.5 3.4 5.0 3.2 4.7 4.7 4.8 4.1 6.7 4.2 4.7 4.2 4.5 2.5 1.6 3575,8,9 358 3585 359 3592 3596,9 41.5 42.8 43.4 42.4 41.0 42.6 40.7 41.1 41.3 41.9 40.7 42.0 40.3 43.1 44.1 41.8 39.1 42.0 38.6 42.1 42.7 42.3 39.5 42.6 3.1 5.2 5.9 5.0 5.5 5.1 5.3 4.8 5.3 4.7 5.9 4.7 3.9 5.2 6.1 4.8 3.8 4.9 4.6 4.9 5.6 5.0 4.2 5.2 36 361 41.6 42.0 434 40.7 41.5 42.3 40.5 41.3 41.2 39.5 40.6 41.1 41.9 40.9 41.5 39.0 40.6 40.4 41.9 43.9 41.7 42.3 42.8 41.1 41.8 42.7 42.4 41.3 42.3 42.5 42.2 41.8 42.9 39.7 40.8 38.6 40.2 40.9 41.1 41.2 41.2 41.8 38.9 40.8 40.7 41.0 42.3 41.4 42.6 43.0 40.2 41.5 42.5 41.8 41.1 43.2 43.1 43.4 41.7 43.0 39.5 38.5 34.9 39.8 40.1 40.6 42.1 41.5 39.9 40.5 38.9 39.1 41.9 42.5 41.3 41.2 42.3 40.4 41.4 41.9 42.0 41.1 43.2 42.2 44.0 40.9 41.8 38.9 38.6 35.9 38.4 39.5 40.7 41.5 41.1 41.1 38.4 39.1 39.6 42.0 42.7 41.5 40.1 41.9 40.6 41.7 42.6 42.0 4.0 5.2 5.2 5.2 3.6 4.0 2.9 2.8 2.1 3.7 2.8 4.1 3.8 4.1 4.3 3.4 5.3 3.7 3.5 4.0 4.1 2.8 4.8 3.7 4.6 5.6 5.3 4.1 5.1 4.9 5.3 3.7 4.1 3.2 2.5 1.0 3.3 3.6 4.4 3.6 4.6 4.9 3.9 5.6 3.9 3.2 3.6 4.2 3.7 5.4 3.5 4.7 6.2 5.2 3.9 4.8 4.3 5.1 3.9 4.1 3.6 1.5 0.3 1.2 2.3 3.7 3.4 4.9 2.7 2.1 3.8 3.5 3.7 4.4 4.4 3.2 5.5 3.6 4.4 6.0 4.6 4.0 4.8 3.9 5.5 3.5 3.5 3.4 1.2 0.5 1.3 2.1 4.1 2.1 4.5 3.8 1.5 3.9 3.7 3.6 3.9 4.5 3.0 5.1 4.0 4.8 5.4 5.2 3612 3613 362 3621 3625 363 3632 3633 3634 364 3641 3643 3644 3645 365 3651 366 3661 367 3671 3674 3679 369 3691 3694 See footnotes at end of table. Average overtime hours 100 41.5 Sept. 2000P ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average hourly earnings Average weekly earnings Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P $15.14 18.32 21.31 17.36 14.14 14.67 14.09 14.11 14.48 14.37 14.64 13.06 15.93 15.72 16.34 16.58 14.21 12.84 15.67 13.54 16.13 15.22 14.41 15.33 15.35 14.66 11.96 15.89 14.22 16.87 18.89 $15.24 18.20 21.42 17.19 14.46 15.11 14.20 14.25 14.56 14.48 14.62 13.12 16.05 15.92 16.28 16.79 14.21 12.79 15.77 13.64 16.01 15.26 14.52 15.42 15.48 15.03 11.98 15.96 14.23 17.10 19.28 $15.61 17.94 21.81 16.63 15.07 15.86 14.51 14.81 14.93 14.81 14.36 13.38 16.44 16.35 16.88 17.10 14.63 13.46 16.44 14.59 16.99 15.62 14.64 15.65 15.01 15.16 12.44 17.04 14.24 18.39 20.64 $15.66 18.11 22.22 16.74 15.18 15.90 14.58 14.81 14.99 15.10 14.30 13.47 16.40 16.36 16.77 17.05 14.56 13.55 16.33 14.33 17.07 15.52 14.64 15.73 14.88 15.34 12.31 17.24 14.14 18.57 21.02 $15.74 $637.39 804.25 982.39 749.95 562.77 597.07 596.01 596.85 577.75 630.84 607.56 544.60 673.84 655.52 705.89 711.28 578.35 530.29 650.31 555.14 635.52 640.76 600.90 614.73 666.19 598.13 507.10 640.37 583.02 691.67 768.82 $635.51 811.72 981.04 759.80 584.18 614.98 596.40 602.78 564.93 642.91 597.96 533.98 672.50 659.09 711.44 718.61 564.14 524.39 652.88 555.15 635.60 637.87 605.48 626.05 654.80 616.23 501.96 646.38 596.24 699.39 786.62 $654.06 751.69 961.82 685.16 605.81 643.92 618.13 617.58 573.31 704.96 600.25 560.62 693.77 699.78 759.60 735.30 593.98 515.52 700.34 590.90 699.99 662.29 622.20 646.35 661.94 633.69 541.14 696.94 600.93 733.76 815.28 $656.15 773.30 982.12 706.43 604.16 639.18 621.11 607.21 596.60 729.33 593.45 575.17 695.36 698.57 744.59 741.68 591.14 533.87 695.66 587.53 689.63 661.15 620.74 651.22 657.70 639.68 525.64 703.39 595.29 735.37 823.98 $662.65 3575,8,9 358 3585 359 3592 3596,9 14.03 13.81 14.17 14.64 14.98 14.56 14.14 13.82 14.14 14.71 15.19 14.60 14.49 13.52 13.64 15.15 14.88 15.12 14.12 13.58 13.70 15.17 15.05 15.13 582.25 591.07 614.98 620.74 614.18 620.26 575.50 568.00 583.98 616.35 618.23 613.20 583.95 582.71 601.52 633.27 581.81 635.04 545.03 571.72 584.99 641.69 594.48 644.54 36 361 3612 3613 362 13.52 13.09 12.03 14.06 12.96 11.90 14.77 13.18 15.13 13.72 11.42 13.00 17.57 13.33 12.13 9.98 13.13 12.30 13.93 14.48 13.75 14.91 18.34 11.34 14.14 15.96 14.02 13.64 13.06 12.09 13.90 13.02 11.96 14.90 13.22 15.13 13.50 11.70 13.18 18.14 13.43 12.20 9.94 13.10 12.28 14.14 14.88 13.84 15.15 18.57 11.35 14.48 16.18 14.57 13.79 13.22 11.91 14.31 13.18 12.07 14.98 13.67 16.31 13.97 11.97 13.42 18.07 13.77 12.48 9.98 12.30 12.74 13.91 14.69 14.26 14.73 19.67 11.65 14.03 15.74 13.64 13.79 13.37 11.95 14.51 13.17 11.96 15.10 13.80 16.55 14.21 11.79 13.37 18.07 13.47 12.55 9.87 12.45 12.80 14.01 14.94 14.14 14.76 19.42 11.65 14.19 15.56 13.90 562.43 549.78 522.10 572.24 537.84 503.37 598.19 544.33 623.36 541.94 463.65 534.30 736.18 545.20 503.40 389.22 533.08 496.92 583.67 635.67 573.38 630.69 784.95 466.07 591.05 681.49 594.45 563.33 552.44 513.83 586.58 544.24 513.08 591.53 539.38 584.02 542.70 478.53 541.70 747.37 553.32 509.96 386.67 534.48 499.80 579.74 629.42 572.98 645.39 798.51 456.27 600.92 687.65 609.03 566.77 571.10 513.32 621.05 549.61 519.01 591.71 526.30 569.22 556.01 480.00 544.85 760.75 571.46 497.95 404.19 478.47 498.13 582.83 624.33 588.94 606.88 832.04 470.66 580.84 659.51 572.88 566.77 577.58 504.29 638.44 538.65 499.93 587.39 532.68 594.15 545.66 465.71 544.16 749.91 553.62 515.81 379.01 486.80 506.88 588.42 637.94 586.81 591.88 813.70 472.99 591.72 662.86 583.80 Durable goods—Continued Industrial machinery and equipment Engines and turbines Turbines and turbine generator sets Internal combustion engines, nee Farm and garden machinery Farm machinery and equipment Construction and related machinery Construction machinery Mining machinery Oil and gas field machinery Conveyors and conveying equipment Industrial trucks and tractors Metalworking machinery Machine tools, metal cutting types Machine tools, metal forming types Special dies, tools, jigs, and fixtures Machine tool accessories Power driven handtools Special industry machinery Textile machinery Printing trades machinery Food products machinery General industrial machinery Pumps and pumping equipment Ball and roller bearings Air and gas compressors Blowers and fans Speed changers, drives, and gears Power transmission equipment, nee Computer and office equipment Electronic computers Computer terminals, calculators, and office machines, nee Refrigeration and service machinery Refrigeration and heating equipment Misc. industrial and commercial machinery Carburetors, pistons, rings, valves Scales, balances, and industrial machinery, nee .. Electronic and other electrical equipment Electric distribution equipment Transformers, except electronic Switchgear and switchboard apparatus Electrical industrial apparatus Motors and generators Relays and industrial controls Household appliances Household refrigerators and freezers Household laundry equipment Electric housewares and fans Electric lighting and wiring equipment Electric lamps Current-carrying wiring devices Noncurrent-carrying wiring devices Residential lighting fixtures Household audio and video equipment Household audio and video equipment Communications equipment Telephone and telegraph apparatus Electronic components and accessories Electron tubes Semiconductors and related devices Electronic components, nee Misc. electrical equipment and supplies Storage batteries Engine electrical equipment 35 351 3511 3519 352 3523 353 3531 3532 3533 3535 3537 354 3541 3542 3544 3545 3546 355 3552 3555 3556 356 3561 3562 3563 3564 3566 3568 357 3571 3621 3625 363 3632 3633 3634 364 3641 3643 3644 3645 365 3651 366 3661 367 3671 3674 3679 369 3691 3694 See footnotes at end of table. 101 13.88 576.02 ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry Durable goods—Continued Transportation equipment Motor vehicles and equipment Motor vehicles and car bodies Truck and bus bodies Motor vehicle parts and accessories Truck trailers Aircraft and parts Aircraft Aircraft engines and engine parts Aircraft parts and equipment, nee Ship and boat building and repairing Ship building and repairing Boat building and repairing Railroad equipment Guided missiles, space vehicles, and parts . Guided missiles and space vehicles Misc. transportation equipment Travel trailers and campers 1987 SIC POHP uUUc 37 371 3711 3713 3714 3715 372 3721 3724 3728 373 3731 3732 374 376 3761 379 3792 Instruments and related products Search and navigation equipment Measuring and controlling devices Environmental controls Process control instruments Instruments to measure electricity Medical instruments and supplies Surgical and medical instrument Surgical appliances and supplies Ophthalmic goods Photographic equipment and supplies Watches, clocks, watchcases, and parts 38 381 382 Miscellaneous manufacturing industries Jewelry, silverware, and plated ware Jewelry, precious metal Musical instruments Toys and sporting goods Dolls, games, toys, and children's vehicles Sporting and athletic goods, nee Pens, pencils, office, and art supplies Costume jewelry and notions Costume jewelry Miscellaneous manufactures Signs and advertising specialties 39 391 3822 3823 3825 384 3841 3842 385 386 387 3911 393 394 3942,4 3949 395 396 3961 399 3993 Nondurable goods Food and kindred products Meat products Meat packing plants Sausages and other prepared meats Poultry slaughtering and processing Dairy products Cheese, natural and processed Fluid milk Preserved fruits and vegetables Canned specialties Canned fruits and vegetables Frozen fruits and vegetables Grain mill products Flour and other grain mill products Prepared feeds, nee 20 201 2011 2013 2015 202 2022 2026 203 2032 2033 2037 204 2041 2048 Sept. Aug. 2000P 1999 Aug. Sept. July 1999 1999 2000 Aug. 2000P 43.7 44.7 44.7 44.8 45.1 43.4 42.8 43.0 43.9 42.1 40.7 41.7 39.4 41.8 41.0 40.1 41.0 40.0 43.9 45.4 46.9 43.5 45.2 43.6 42.3 42.6 43.7 41.3 39.9 40.5 39.1 41.9 40.2 39.1 40.3 39.1 41.9 42.0 43.0 43.7 41.5 40.6 43.3 43.5 44.5 42.3 39.6 41.7 37.2 45.0 41.3 41.1 39.7 39.7 43.1 44.1 45.1 42.4 44.0 41.7 43.1 42.9 44.2 42.7 39.4 40.9 37.8 43.5 41.8 41.7 39.1 38.3 43.5 44.4 41.4 41.6 41.3 42.3 39.8 41.9 41.4 41.5 40.2 40.4 42.4 39.6 41.1 41.5 40.8 42.5 39.7 40.6 40.9 40.9 40.0 39.6 43.0 38.9 41.0 41.8 41.3 42.5 39.8 41.0 40.3 39.7 40.6 39.5 42.8 40.2 41.0 41.2 41.2 42.0 40.3 41.0 40.8 40.4 41.2 40.3 41.4 42.0 41.3 40.0 39.8 39.3 39.1 40.9 39.7 41.4 38.8 37.3 35.6 40.2 40.5 39.7 39.5 38.8 38.2 40.5 39.8 40.8 39.0 37.0 35.4 40.0 40.2 38.9 37.2 36.4 36.9 39.3 38.0 39.8 38.0 36.6 34.7 39.9 39.7 40.1 39.6 38.9 37.9 39.2 39.7 40.0 39.5 38.0 38.8 37.0 40.1 40.3 41.0 41.0 40.4 40.6 42.0 41.5 43.6 43.6 39.5 43.3 44.2 42.6 42.1 42.2 44.1 39.2 44.2 45.4 43.3 42.1 41.7 43.3 43.2 40.2 43.2 43.6 43.4 43.3 45.0 45.0 40.7 44.9 46.8 43.0 See footnotes at end of table. Average overtime hours Average weekly hours 102 41.2 41.6 42.9 43.5 40.1 42.7 42.0 42.5 39.1 44.4 38.0 37.6 44.8 45.9 43.0 41.7 41.9 43.6 43.2 40.4 42.4 42.0 42.0 41.5 45.7 43.0 39.0 44.9 48.1 43.6 July Sept. 2000P Sept. 1999 2000 Aug. 2000P 5.7 6.6 6.8 6.0 6.8 4.6 4.8 5.0 5.2 4.4 3.4 3.6 3.1 4.7 3.3 3.0 3.4 2.2 6.0 7.2 7.8 4.8 7.4 5.1 4.5 4.6 5.4 3.7 3.0 3.0 3.1 4.8 2.8 2.4 2.9 2.2 4.3 4.4 4.7 5.5 4.3 3.3 5.1 5.1 5.7 4.8 3.5 3.9 3.0 3.2 3.9 3.8 2.6 2.3 5.6 6.4 7.7 4.4 6.3 3.3 5.2 4.9 5.4 5.4 3.5 4.0 2.9 4.3 4.2 4.0 2.2 1.3 3.3 3.0 3.4 4.9 2.7 2.8 3.4 3.7 3.0 2.1 4.0 1.3 3.2 2.9 3.2 4.8 2.6 2.6 3.2 3.2 2.7 2.5 3.8 2.3 3.2 3.5 3.2 3.8 2.8 2.9 3.1 3.4 2.8 0.9 3.9 4.2 3.2 3.1 3.2 3.4 2.9 2.9 3.3 3.1 3.4 2.0 3.5 4.9 _ _ _ _ _ _ _ _ - _ _ _ _ _ _ - 3.1 3.3 3.4 2.4 2.8 1.9 3.2 1.9 3.1 3.6 3.5 3.8 3.1 3.4 3.4 2.3 3.0 2.5 3.2 2.4 2.5 2.1 3.4 3.9 2.4 1.8 1.7 2.1 2.4 1.2 2.9 1.6 1.3 0.9 2.8 2.9 2.7 2.4 2.2 2.3 2.8 2.5 2.9 1.8 _ _ _ _ _ _ _ _ _ - 41.0 4.6 4.8 4.3 4.4 4.7 5.7 5.0 5.6 6.0 4.3 5.4 4.9 5.3 7.1 9.8 9.2 5.8 7.2 8.3 6.1 _ _ _ _ _ _ _ _ _ — _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ - 42.2 _ _ _ _ _ _ _ _ — 5.9 5.3 6.7 7.0 3.9 5.6 5.6 5.3 7.3 6.3 10.0 5.3 7.1 8.1 6.6 6.0 5.2 6.1 6.8 4.1 5.5 5.0 6.0 8.3 10.0 11.0 6.0 7.9 9.1 6.6 5.6 5.2 5.7 7.2 4.2 5.6 5.2 5.2 6.1 9.4 7.3 5.4 7.1 7.6 6.1 2.4 2.0 3.1 3.5 _ _ _ _ _ _ _ _ _ _ _ _ _ - ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average weekly earnings Average hourly earnings Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P Aug. 1999 Sept. 1999 $18.50 18.96 22.81 15.41 17.73 11.73 20.22 (2) 19.95 17.79 13.86 15.17 12.16 16.71 20.05 (2) $19.04 19.61 24.57 15.55 17.96 12.31 20.71 (2) 20.64 18.14 14.41 16.03 12.48 17.48 20.27 (2) 13.05 13.30 $794.03 828.29 1,003.52 686.78 778.43 500.84 851.72 $812.15 860.78 1,069.79 670.34 801.40 511.43 855.31 867.03 737.59 573.06 644.27 481.47 698.06 825.33 871.82 734.73 553.01 614.39 475.46 700.15 806.01 915.81 766.05 567.86 659.69 465.74 817.20 837.98 912.29 774.58 567.75 655.63 471.74 760.38 847.29 12.73 13.06 $18.66 19.07 23.75 15.61 17.41 12.32 20.62 (2) 20.58 18.11 14.34 15.82 12.52 18.16 20.29 (2) 12.83 12.88 $19.25 19.78 379 3792 $18.17 18.53 22.45 15.33 17.26 11.54 19.90 (2) 19.75 17.52 14.08 15.45 12.22 16.70 20.13 (2) 12.63 12.82 517.83 512.80 513.02 510.65 509.35 511.34 510.26 509.39 Instruments and related products Search and navigation equipment Measuring and controlling devices Environmental controls Process control instruments Instruments to measure electricity Medical instruments and supplies Surgical and medical instrument Surgical appliances and supplies Ophthalmic goods Photographic equipment and supplies Watches, clocks, watchcases, and parts 38 381 382 3822 3823 3825 384 3841 3842 385 386 387 14.28 17.37 14.39 12.06 14.55 16.98 12.97 12.36 12.18 11.02 18.04 10.80 14.29 17.43 14.38 11.97 14.53 16.87 12.96 12.45 12.10 10.90 18.10 11.03 14.65 17.37 14.79 12.09 15.04 17.27 13.26 12.70 12.54 11.16 19.09 11.72 14.63 17.40 14.87 12.15 14.95 17.44 13.28 12.66 12.53 11.16 18.71 12.08 14.72 591.19 722.59 594.31 510.14 579.09 711.46 536.96 512.94 489.64 445.21 764.90 427.68 587.32 723.35 586.70 508.73 576.84 684.92 530.06 509.21 484.00 431.64 778.30 429.07 600.65 726.07 610.83 513.83 598.59 708.07 534.38 504.19 509.12 440.82 817.05 471.14 599.83 716.88 612.64 510.30 602.49 715.04 541.82 511.46 516.24 449.75 774.59 507.36 607.94 Miscellaneous manufacturing industries Jewelry, silverware, and plated ware Jewelry, precious metal Musical instruments Toys and sporting goods Dolls, games, toys, and children's vehicles Sporting and athletic goods, nee Pens, pencils, office, and art supplies Costume jewelry and notions Costume jewelry Miscellaneous manufactures Signs and advertising specialties 39 391 3911 393 394 3942,4 3949 395 396 3961 399 3993 11.31 11.89 11.70 12.00 10.92 10.70 11.02 11.44 10.40 9.24 11.38 12.37 11.43 12.07 11.92 12.27 11.16 10.86 11.29 11.50 10.37 9.29 11.44 12.75 11.65 12.23 12.00 12.55 11.18 10.90 11.27 11.82 11.00 9.52 11.72 12.69 11.62 12.18 11.97 12.26 11.23 11.03 11.30 11.90 10.88 9.57 11.67 12.69 11.73 452.40 473.22 459.81 469.20 446.63 424.79 456.23 443.87 387.92 328.94 457.48 500.99 453.77 476.77 462.50 468.71 451.98 432.23 460.63 448.50 383.69 328.87 457.60 512.55 453.19 454.96 436.80 463.10 439.37 414.20 448.55 449.16 402.60 330.34 465.28 508.87 460.15 473.80 453.66 480.59 445.83 441.20 446.35 452.20 422.14 354.09 467.97 511.41 468.03 13.17 13.33 13.61 13.53 13.67 539.97 546.53 549.84 549.32 560.47 12.07 10.00 10.87 11.09 9.00 14.09 12.99 14.91 11.58 15.46 12.08 10.82 14.78 13.61 12.27 12.18 10.08 10.94 11.21 9.10 14.21 13.03 15.06 11.74 15.91 12.15 10.98 14.95 13.85 12.52 12.46 10.31 10.99 11.55 9.37 14.46 13.23 15.26 12.11 16.54 13.07 11.10 15.29 13.37 12.67 12.40 10.22 10.91 11.27 9.35 14.42 13.08 15.25 12.10 16.16 12.79 11.30 15.21 13.49 12.61 12.55 506.94 415.00 473.93 483.52 355.50 610.10 574.16 635.17 487.52 652.41 532.73 424.14 653.28 617.89 531.29 512.78 420.34 473.70 484.27 365.82 613.87 568.11 653.60 508.34 715.95 546.75 446.89 671.26 648.18 538.36 513.35 428.90 471.47 502.43 375.74 617.44 555.66 648.55 473.50 734.38 496.66 417.36 684.99 613.68 544.81 517.08 428.22 475.68 486.86 2,71.14 611.41 549.36 640.50 502.15 738.51 549.97 440.70 682.93 648.87 549.80 529.61 Durable goods—Continued Transportation equipment Motor vehicles and equipment Motor vehicles and car bodies Truck and bus bodies Motor vehicle parts and accessories Truck trailers Aircraft and parts Aircraft Aircraft engines and engine parts Aircraft parts and equipment, nee Ship and boat building and repairing Ship building and repairing Boat building and repairing Railroad equipment Guided missiles, space vehicles, and parts . Guided missiles and space vehicles Misc. transportation equipment Travel trailers and campers 37 371 3711 3713 3714 3715 372 3721 3724 3728 373 3731 3732 374 376 3761 Nondurable goods Food and kindred products Meat products Meat packing plants Sausages and other prepared meats Poultry slaughtering and processing Dairy products Cheese, natural and processed Fluid milk Preserved fruits and vegetables Canned specialties Canned fruits and vegetables Frozen fruits and vegetables Grain mill products Flour and other grain mill products Prepared feeds, nee 20 201 2011 2013 2015 202 2022 2026 203 2032 2033 2037 204 2041 2048 See footnotes at end of table. 103 July 2000 Aug. 2000P $781.85 $820.62 800.94 864.80 1,021.25 1,108.11 659.32 682.16 790.24 722.52 513.33 500.19 892.60 892.85 Sept. 2000P $837.38 878.23 ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average weekly hours Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 205 2051 41.4 41.4 41.7 41.3 40.4 41.1 2052,3 206 2061 2062 2063 2064 207 208 2082 2086 209 41.3 40.5 43.2 55.2 41.2 39.8 42.8 43.4 44.0 45.2 41.0 42.3 39.5 41.5 53.5 41.3 38.0 43.6 43.5 45.6 44.5 39.6 Tobacco products Cigarettes 21 211 40.1 41.2 Textile mill products Broadwoven fabric mills, cotton Broadwoven fabric mills, synthetics Broadwoven fabric mills, wool Narrow fabric mills Knitting mills Women's hosiery, except socks Hosiery, nee Knit outerwear mills Knit underwear mills Weft knit fabric mills Textile finishing, except woo! Finishing plants, cotton Finishing plants, synthetics Carpets and rugs Yarn and thread mills Yarn spinning mills Throwing and winding mills Miscellaneous textile goods 22 221 222 223 224 225 2251 2252 2253 2254 2257 226 2261 2262 227 228 2281 2282 229 Apparel and other textile products Men's and boys' suits and coats Men's and boys' furnishings Men's and boys' shirts Men's and boys' trousers and slacks Men's and boys' work clothing Women's and misses' outerwear Women's and misses' blouses and shirts Women's, juniors', and misses' dresses Women's and misses' suits and coats Women's and misses' outerwear, nee Women's and children's undergarments Women's and children's underwear Brassieres, girdles, and allied garments Girls' and children's outerwear Girls' and children's dresses and blouses Misc. apparel and accessories Misc. fabricated textile products Curtains and draperies House furnishings, nee Automotive and apparel trimmings Paper and allied products Paper mills Nondurable goods—Continued Food and kindred products—Continued Bakery products Bread, cake, and related products Cookies, crackers, and frozen bakery products, except bread Sugar and confectionery products Raw cane sugar Cane sugar refining Beet sugar Candy and other confectionery products Fats and oils Beverages Malt beverages Bottled and canned soft drinks Misc. food and kindred products Paperboard mills Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 41.0 41.2 5.5 6.0 5.5 5.8 5.0 5.5 5.2 5.5 39.0 40.4 40.6 54.5 42.1 39.1 40.8 43.6 47.6 44.1 39.1 40.7 41.3 42.0 54.6 43.4 39.9 40.8 43.1 46.0 44.1 39.1 4.8 4.6 7.5 13.6 3.9 4.6 6.7 6.0 6.9 7.3 5.6 5.1 4.7 6.7 15.4 6.7 4.0 7.4 6.3 8.7 6.0 4.9 4.1 4.7 6.3 11.7 3.9 4.2 5.4 5.6 8.8 5.5 5.9 4.6 5.0 6.8 12.8 4.6 4.3 5.5 5.8 7.6 6.2 5.7 39.9 39.7 39.5 39.9 40.2 40.5 41.5 3.3 4.1 2.1 2.1 3.1 3.3 3.7 4.0 41.1 42.6 42.5 36.3 40.1 39.3 39.3 37.6 39.3 38.4 41.2 40.6 39.8 42.3 42.1 41.6 41.9 40.6 42.6 40.7 42.2 42.3 36.3 40.3 38.0 38.1 35.8 37.7 37.5 39.7 39.7 38.7 40.8 42.8 41.6 41.5 41.5 42.1 40.5 43.1 42.6 41.0 38.8 39.2 35.6 38.4 41.1 35.2 40.4 39.6 38.7 41.0 39.3 41.2 41.5 40.1 40.8 41.0 42.9 42.8 40.1 39.8 39.3 36.1 38.2 41.9 36.0 39.5 40.4 39.9 42.6 40.4 41.8 42.4 39.4 41.1 41.0 4.4 5.5 5.0 2.2 2.7 3.4 2.8 2.7 3.1 2.3 5.1 4.2 3.4 5.1 5.2 4.7 4.8 4.1 4.9 4.3 6.5 4.9 1.7 3.0 2.9 2.2 2.2 2.3 1.7 4.3 3.8 3.1 4.4 5.0 4.6 4.8 3.7 5.1 4.2 6.4 4.8 5.1 2.8 3.7 2.2 3.6 4.3 1.2 4.9 3.9 3.7 3.9 3.3 4.3 4.5 3.1 4.0 4.2 6.3 4.7 4.2 3.0 3.9 2.9 3.1 4.9 2.6 4.4 3.9 3.9 4.3 3.2 4.3 4.7 2.4 3.9 23 231 232 2321 2325 2326 233 2331 2335 2337 2339 234 2341 2342 236 2361 238 239 2391 2392 2396 37.5 36.4 36.8 35.4 36.4 38.0 36.5 36.5 36.8 36.7 36.5 35.7 35.9 35.2 38.0 38.8 36.9 39.4 36.5 40.3 41.2 36.8 36.4 35.7 34.6 34.9 37.2 35.5 34.6 36.5 35.5 35.4 35.9 36.5 34.5 37.2 37.6 36.0 39.0 35.7 39.8 40.7 36.8 37.2 36.5 34.9 36.7 36.4 36.0 36.2 37.3 37.0 35.6 34.7 35.5 32.6 36.2 35.1 38.0 37.8 37.4 39.1 37.9 37.0 36.4 36.9 35.7 37.2 35.8 36.2 36.6 36.9 36.7 35.9 34.8 35.1 34.1 37.2 35.4 38.2 37.8 36.7 38.1 39.1 36.9 2.2 1.2 1.6 1.5 1.3 2.0 1.6 2.0 2.4 2.8 1.2 1.6 1.6 1.5 3.3 3.8 1.2 3.6 1.9 4.0 4.3 2.4 1.3 1.6 1.2 1.3 2.2 1.5 2.6 2.2 2.7 1.2 2.0 2.2 1.5 3.9 4.1 1.7 3.8 1.7 4.0 5.3 2.2 1.1 1.5 1.0 1.6 1.5 2.0 1.7 3.0 2.4 1.8 2.0 2.1 1.7 2.8 2.6 2.3 3.0 1.4 3.5 3.6 2.2 0.9 1.5 1.3 1.5 1.4 2.1 2.1 2.7 2.3 2.0 1.6 1.8 1.2 3.0 2.3 2.4 2.9 1.1 3.2 3.8 26 262 263 43.3 43.9 43.6 43.7 46.6 45.1 42.2 43.7 41.9 42.1 42.4 42.7 42.7 5.9 6.5 7.2 6.5 9.0 9.2 5.4 6.9 6.9 5.3 6.2 6.4 See footnotes at end of table. Average overtime hours 104 Sept. 2000P Sept. 2000P ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average hourly earnings Average weekly earnings Aug. 1999 Sept. 1999 July 2000 Aug. 2000P $546.89 555.17 $544.19 553.42 $536.11 558.96 $544.07 557.85 Aug. 1999 Sept. 1999 July 2000 Aug. 2000P $13.21 13.41 $13.05 13.40 $13.27 13.60 $13.27 13.54 2052,3 206 2061 2062 2063 2064 207 208 2082 2086 209 12.85 14.11 12.28 18.78 15.62 13.43 13.64 16.08 23.50 13.52 10.80 12.48 14.12 12.02 19.00 15.74 13.38 13.65 16.35 24.17 13.45 10.93 12.64 14.74 11.01 20.82 15.30 14.23 13.91 16.53 23.92 13.75 11.11 12.78 14.67 11.91 21.04 15.88 13.95 13.84 16.35 23.72 13.60 11.21 Tobacco products Cigarettes 21 211 20.86 25.33 18.90 24.82 21.08 25.73 20.92 26.17 $19.15 836.49 1,043.60 Textile mill products Broadwoven fabric mills, cotton Broadwoven fabric mills, synthetics Broadwoven fabric mills, wool Narrow fabric mills Knitting mills Women's hosiery, except socks Hosiery, nee Knit outerwear mills Knit underwear mills Weft knit fabric mills Textile finishing, except wool Finishing plants, cotton Finishing plants, synthetics Carpets and rugs Yarn and thread mills Yarn spinning mills Throwing and winding mills Miscellaneous textile goods 22 221 222 223 224 225 2251 2252 2253 2254 2257 226 2261 2262 227 228 2281 2282 229 10.72 11.00 11.52 11.19 9.82 9.92 9.06 9.80 9.35 10.21 10.55 10.78 10.57 11.30 10.63 10.56 10.46 10.85 12.04 10.78 11.12 10.97 11.31 11.74 11.90 10.17 10.17 9.30 10.09 9.92 10.25 10.43 11.04 11.02 11.38 11.08 10.50 10.45 10.49 12.35 10.98 11.31 11.79 11.69 10.04 10.16 9.46 10.05 9.88 10.28 10.39 11.07 11.09 11.45 11.11 10.51 10.51 10.33 12.34 11.08 440.59 468.60 489.60 406.20 393.78 389.86 356.06 368.48 367.46 392.06 434.66 437.67 420.69 477.99 447.52 439.30 438.27 440.51 512.90 438.75 469.26 490.26 415.64 399.37 376.96 345.95 350.84 357.02 370.88 410.90 426.38 410.61 454.10 460.53 439.30 435.34 447.79 511.52 Apparel and other textile products Men's and boys' suits and coats Men's and boys' furnishings Men's and boys' shirts Men's and boys' trousers and slacks Men's and boys' work clothing Women's and misses' outerwear Women's and misses' blouses and shirts Women's, juniors', and misses' dresses Women's and misses' suits and coats Women's and misses' outerwear, nee Women's and children's undergarments Women's and children's underwear Brassieres, girdles, and allied garments Girls' and children's outerwear Girls' and children's dresses and blouses Misc. apparel and accessories Misc. fabricated textile products Curtains and draperies House furnishings, nee Automotive and apparel trimmings 23 231 232 2321 2325 2326 233 2331 2335 2337 2339 234 2341 2342 236 2361 238 239 2391 2392 2396 8.88 8.91 8.30 8.03 8.40 8.18 8.53 7.99 10.24 8.65 8.21 8.36 8.24 8.62 8.37 8.11 8.29 9.72 8.25 9.65 10.87 9.01 9.02 8.39 8.16 8.48 8.23 8.52 8.20 10.20 8.68 8.17 8.39 8.28 8.65 8.55 8.30 8.37 10.00 8.31 9.71 9.08 9.23 8.53 8.17 8.55 8.42 8.35 8.58 9.96 8.29 8.01 8.69 8.34 9.60 8.67 8.80 8.74 9.19 11.61 9.06 9.39 8.55 8.14 8.63 8.42 8.36 8.49 9.93 8.26 8.03 8.65 8.33 9.49 8.57 8.78 8.71 10.05 8.55 9.75 11.46 11.69 333.00 324.32 305.44 284.26 305.76 310.84 311.35 291.64 376.83 317.46 299.67 298.45 295.82 303.42 318.06 314.67 305.90 382.97 301.13 388.90 447.84 Paper and allied products Paper mills 26 262 263 15.95 20.53 20.34 16.24 20.94 21.05 16.29 21.18 20.99 16.18 21.06 20.68 16.31 690.64 901.27 886.82 Nondurable goods—Continued Food and kindred products—Continued Bakery products Bread, cake, and related products Cookies, crackers, and frozen bakery products, except bread Sugar and confectionery products Raw cane sugar Cane sugar refining Beet sugar Candy and other confectionery products Fats and oils Beverages Malt beverages Bottled and canned soft drinks Misc. food and kindred products Paperboard mills 205 2051 11.59 11.45 9.91 9.92 9.08 9.80 9.47 9.89 10.35 10.74 10.61 11.13 10.76 10.56 10.49 10.79 12.15 See footnotes at end of table. 105 Sept. 2000P Sept. 2000P 530.71 520.15 492.96 527.90 571.46 605.87 595.50 557.74 530.50 500.22 447.01 498.83 1,036.66 1,016.50 1,134.69 1,148.78 643.54 644.13 650.06 689.19 534.51 556.39 508.44 556.61 583.79 567.53 595.14 564.67 697.87 720.71 711.23 704.69 1,034.00 1,102.15 1,138.59 1,091.12 611.10 606.38 598.53 599.76 442.80 434.40 432.83 438.31 10.14 8.57 9.75 754. i1 840.98 832.66 985.35 1,026.63 1,059.89 $794.73 444.29 487.46 500.12 487.90 394.60 398.66 331.08 387.46 407.71 360.80 421.37 437.18 426.47 466.58 435.44 432.60 433.68 420.65 503.88 450.18 485.20 504.61 468.77 399.59 399.29 341.51 383.91 413.97 370.08 410.41 447.23 442.49 487.77 448.84 439.32 445.62 407.00 507.17 454.28 331.57 328.33 299.52 282.34 295.95 306.16 302.46 283.72 372.30 308.14 289.22 301.20 302.22 298.43 318.06 312.08 301.32 390.00 296.67 386.46 472.53 333.41 349.31 312.08 284.09 316.72 306.49 300.96 307.34 370.39 305.62 285.87 300.16 295.72 309.37 310.23 308.18 330.98 379.89 319.77 381.23 434.33 335.96 335.97 314.76 291.67 318.06 301.44 302.27 314.03 367.52 304.24 287.56 302.41 292.73 327.36 322.52 311.52 333.87 383.29 314.52 371.48 457.08 339.11 709.69 975.80 949.36 687.44 925.57 879.48 681.18 892.94 883.04 696.44 ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average weekly hours Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 265 2653 2656 2657 267 2672 2673 2677 44.0 44.5 43.1 43.6 42.4 43.1 41.8 41.8 43.2 43.7 42.2 43.2 42.0 43.4 41.8 40.8 42.4 42.7 42.9 41.8 41.1 43.3 38.2 40.5 42.8 43.2 42.8 42.6 41.1 44.1 38.2 39.9 Printing and publishing Newspapers Periodicals Books Book publishing Book printing Miscellaneous publishing Commercial printing Commercial printing, lithographic Commercial printing, nee Manifold business forms Blankbooks and bookbinding Printing trade services 27 271 272 273 2731 2732 274 275 2752 2759 276 278 279 38.4 33.0 37.8 42.0 38.1 45.7 35.6 39.7 39.5 40.1 41.3 39.2 40.3 38.6 33.6 37.2 41.9 37.7 45.8 35.4 40.0 40.0 39.9 41.2 39.2 39.8 37.8 32.7 36.0 41.6 39.4 43.6 36.0 38.9 38.6 39.3 40.8 39.0 40.6 38.0 33.0 37.1 40.6 39.3 41.8 35.3 39.2 39.0 39.3 40.5 39.3 40.8 Chemicals and allied products Industrial inorganic chemicals Industrial inorganic chemicals, nee Plastics materials and synthetics Plastics materials and resins Organic fibers, noncellulosic Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and other detergents Polishing, sanitation, and finishing preparations Toilet preparations Paints and allied products Industrial organic chemicals Cyclic crudes and intermediates Industrial organic chemicals, nee Agricultural chemicals Miscellaneous chemical products 28 281 2819 282 2821 2824 283 2834 284 2841 2842,3 2844 285 286 2865 2869 287 289 43.1 42.9 43.1 44.0 43.6 45.4 41.8 42.2 42.1 46.1 40.9 40.5 42.6 45.6 45.8 45.6 45.2 42.5 43.3 43.7 44.1 44.7 44.7 46.1 42.0 42.6 41.3 45.6 41.6 38.8 42.1 46.6 45.9 46.7 45.4 42.6 42.9 42.8 44.5 43.3 45.3 42.9 42.4 42.8 41.0 41.2 42.0 40.4 41.5 46.1 47.3 45.9 43.9 42.6 Petroleum and coal products Petroleum refining Asphalt paving and roofing materials 29 291 295 42.6 40.4 47.4 43.2 41.7 46.9 Rubber and misc. plastics products Tires and inner tubes Rubber and plastics footwear Hose, belting, gaskets, and packing Rubber and plastics hose and belting Fabricated rubber products, nee Miscellaneous plastics products, nee ... 30 301 302 305 3052 306 308 41.4 41.7 41.5 41.8 41.6 42.8 41.2 Leather and leather products Leather tanning and finishing Footwear, except rubber Men's footwear, except athletic Women's footwear, except athletic Luggage 31 311 314 3143 3144 316 317 Nondurable goods—Continued Paper and allied products—Continued Paperboard containers and boxes Corrugated and solid fiber boxes Sanitary food containers Folding paperboard boxes Misc. converted paper products Paper, coated and laminated, nee Bags: plastics, laminated, and coated Envelopes Handbags and personal leather goods . Service-producing Transportation and public utilities . Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 6.2 6.8 5.2 5.5 5.0 3.8 5.4 4.7 6.0 6.6 4.8 5.5 5.0 4.7 5.3 4.3 5.1 5.5 4.4 5.0 4.6 3.9 4.8 3.9 5.5 5.9 4.4 5.6 4.4 3.8 4.4 3.4 38.4 3.1 1.4 3.0 4.4 2.4 6.3 2.2 3.7 3.7 3.8 4.3 2.7 3.9 3.3 1.7 2.7 4.5 2.7 6.1 2.2 4.0 4.0 3.9 4.8 3.2 3.6 2.9 1.4 1.9 4.0 2.6 5.3 2.6 3.4 3.2 3.8 3.7 2.7 3.2 3.2 1.5 3.7 3.6 2.2 4.9 2.7 3.7 3.6 3.8 4.0 2.4 3.8 42.9 42.3 43.8 43.0 44.4 43.2 43.2 43.8 41.1 40.8 41.7 40.9 41.7 45.3 46.4 45.1 44.0 42.4 43.1 5.1 5.6 5.8 4.9 5.1 5.1 5.0 5.0 4.6 6.8 3.7 3.8 4.9 6.2 6.7 6.1 6.0 4.7 5.6 6.1 6.7 5.8 5.9 6.4 5.5 5.3 4.6 6.5 4.1 3.7 4.6 6.9 7.0 6.9 6.5 5.0 4.9 5.4 5.8 5.4 5.2 5.1 4.4 4.3 3.9 4.4 3.9 3.6 4.3 6.8 7.4 6.7 5.2 4.3 4.9 5.2 5.3 5.1 5.0 4.5 4.7 4.7 4.0 4.6 4.0 3.7 3.8 6.4 7.2 6.3 5.3 4.7 45.0 44.7 46.5 44.1 42.9 46.7 44.7 6.5 4.6 11.2 6.7 5.1 10.6 6.7 5.1 10.2 6.5 4.6 10.2 41.6 42.4 42.4 41.7 41.9 42.7 41.3 40.7 41.5 36.3 40.7 40.7 40.1 40.7 41.0 42.0 38.2 41.5 41.1 41.5 40.8 41.4 4.5 5.5 3.2 4.2 4.1 4.5 4.4 4.7 5.8 3.2 4.5 4.4 4.7 4.7 4.2 5.4 1.7 4.6 4.9 3.7 4.1 4.2 5.4 1.8 4.4 5.0 4.2 4.1 38.7 44.2 37.7 37.4 37.5 36.6 37.7 37.4 42.9 35.7 36.0 37.1 34.6 39.7 36.3 39.6 34.0 35.3 29.2 36.8 39.3 37.9 41.3 36.4 36.4 33.6 37.8 38.6 37.9 2.4 5.5 1.4 1.6 0.4 1.9 1.0 2.3 5.3 1.4 1.6 0.4 1.1 2.8 1.9 5.0 1.1 1.2 0.2 1.3 2.2 2.2 5.2 1.6 1.9 0.2 1.5 1.1 33.5 32.6 33.4 33.1 32.7 39.4 38.5 39.2 38.9 38.9 See footnotes at end of table. Average overtime hours 106 Sept. 2000P Sept. 2000P ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average hourly earnings Aug. 1999 Sept. 1999 July 2000 Aug. 2000P $593.56 602.53 581.85 616.07 596.14 692.19 530.02 546.33 $585.79 592.14 576.45 617.76 594.30 710.46 527.93 536.52 $585.97 588.41 595.88 611.53 582.80 724.84 474.83 543.51 $591.92 597.02 595.78 623.24 581.98 729.86 477.12 541.44 $14.47 531.07 448.14 582.12 573.30 491.87 650.31 457.46 556.20 568.80 522.50 595.13 425.71 687.12 539.63 464.02 571.39 578.64 492.74 659.06 462.32 566.80 581.20 527.88 601.52 433.55 671.82 540.16 460.09 575.64 576.58 535.05 615.20 493.20 564.05 574.37 533.30 604.66 437.97 684.52 543.02 462.33 600.28 563.93 527.80 597.32 482.55 567.62 577.20 536.45 604.67 441.73 693.19 $555.65 18.00 19.73 20.51 18.94 21.30 14.92 17.82 17.70 15.20 17.48 14.57 14.34 15.16 20.87 20.69 21.11 18.51 16.73 18.12 750.37 830.54 860.28 797.28 898.16 700.07 716.45 717.40 637.39 880.51 573.83 530.55 640.70 932.98 941.19 937.54 802.75 673.20 765.11 860.45 897.88 821.14 943.62 709.02 735.42 736.98 628.59 853.63 593.63 518.76 639.50 967.88 943.25 977.43 816.75 681.60 779.49 843.16 908.69 824.00 961.27 649.08 776.77 781.10 626.48 716.06 611.52 584.99 633.29 964.87 998.98 968.49 814.35 717.38 772.20 834.58 898.34 814.42 945.72 644.54 769.82 775.26 624.72 713.18 607.57 586.51 632.17 945.41 960.02 952.06 814.44 709.35 780.97 21.24 24.64 16.59 21.01 24.34 16.66 21.39 903.55 986.16 793.00 926.54 955.80 930.96 1,026.24 1,101.41 1,044.19 771.44 778.02 799.18 956.13 12.51 19.36 10.27 12.71 12.66 12.39 11.81 12.84 20.32 10.49 12.73 13.13 12.69 12.09 12.81 20.02 10.04 12.68 13.15 12.61 12.08 12.90 512.12 803.98 429.11 528.35 523.74 522.16 480.80 520.42 820.86 435.45 530.01 530.45 529.05 487.75 522.59 843.28 380.79 518.11 534.39 508.87 492.06 525.21 840.84 383.53 526.22 540.47 523.32 492.86 534.06 10.08 12.86 9.82 10.35 10.15 12.91 9.86 10.39 10.26 8.07 8.73 8.71 8.65 9.07 8.96 372.13 551.69 338.79 368.28 296.43 307.59 343.41 365.90 509.26 333.88 365.36 235.64 321.26 356.45 384.69 533.18 358.90 378.20 273.17 329.24 345.86 8.58 381.58 563.55 354.38 376.99 297.38 326.84 323.47 388.85 8.93 9.95 12.86 9.49 10.23 7.99 8.89 12.65 12.82 13.12 13.10 13.33 423.78 417.93 438.21 433.61 435.89 15.69 15.80 16.19 16.22 16.28 618.19 608.30 634.65 630.96 633.29 Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 265 2653 2656 2657 267 2672 2673 2677 $13.49 13.54 13.50 14.13 14.06 16.06 12.68 13.07 $13.56 13.55 13.66 14.30 14.15 16.37 12.63 13.15 $13.82 13.78 13.89 14.63 14.18 16.74 12.43 13.42 $13.83 13.82 13.92 14.63 14.16 16.55 12.49 13.57 Printing and publishing Newspapers Periodicals Books Book publishing Book printing Miscellaneous publishing Commercial printing Commercial printing, lithographic Commercial printing, nee Manifold business forms Blankbooks and bookbinding Printing trade services 27 271 272 273 2731 2732 274 275 2752 2759 276 278 279 13.83 13.58 15.40 13.65 12.91 14.23 12.85 14.01 14.40 13.03 14.41 10.86 17.05 13.98 13.81 15.36 13.81 13.07 14.39 13.06 14.17 14.53 13.23 14.60 11.06 16.88 14.29 14.07 15.99 13.86 13.58 14.11 13.70 14.50 14.88 13.57 14.82 11.23 16.86 14.29 14.01 16.18 13.89 13.43 14.29 13.67 14.48 14.80 13.65 14.93 11.24 16.99 Chemicals and allied products Industrial inorganic chemicals Industrial inorganic chemicals, nee Plastics materials and synthetics Plastics materials and resins Organic fibers, noncellulosic Drugs Pharmaceutical preparations Soap, cleaners, and toilet goods Soap and other detergents Polishing, sanitation, and finishing preparations Toilet preparations Paints and allied products Industrial organic chemicals Cyclic crudes and intermediates Industrial organic chemicals, nee Agricultural chemicals Miscellaneous chemical products 28 281 2819 282 2821 2824 283 2834 284 2841 2842,3 2844 285 286 2865 2869 287 289 17.41 19.36 19.96 18.12 20.60 15.42 17.14 17.00 15.14 19.10 14.03 13.10 15.04 20.46 20.55 20.56 17.76 15.84 17.67 19.69 20.36 18.37 21.11 15.38 17.51 17.30 15.22 18.72 14.27 13.37 15.19 20.77 20.55 20.93 17.99 16.00 18.17 19.70 20.42 19.03 21.22 15.13 18.32 18.25 15.28 17.38 14.56 14.48 15.26 20.93 21.12 21.10 18.55 16.84 Petroleum and coal products Petroleum refining Asphalt paving and roofing materials 29 291 295 21.21 24.41 16.73 21.55 24.61 17.04 Rubber and misc. plastics products Tires and inner tubes Rubber and plastics footwear Hose, belting, gaskets, and packing Rubber and plastics hose and belting Fabricated rubber products, nee Miscellaneous plastics products, nee 30 301 302 305 3052 306 308 12.37 19.28 10.34 12.64 12.59 12.20 11.67 Leather and leather products Leather tanning and finishing Footwear, except rubber Men's footwear, except athletic Women's footwear, except athletic Luggage Handbags and personal leather goods 31 311 314 3143 9.86 12.75 9.40 10.08 7.93 Nondurable goods—Continued Paper and allied products—Continued Paperboard containers and boxes Corrugated and solid fiber boxes Sanitary food containers Folding paperboard boxes Misc. converted paper products Paper, coated and laminated, nee Bags: plastics, laminated, and coated Envelopes Service-producing Transportation and public utilities 3144 316 317 See footnotes at end of table. Average weekly earnings 107 Sept. 2000P 8.13 Sept. 2000P ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average weekly hours Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 4011 45.3 44.4 44.5 44.1 Local and interurban passenger transit Local and suburban transportation Intercity and rural bus transportation 41 411 413 35.0 38.7 38.9 33.7 38.6 38.7 36.0 39.1 38.8 35.3 38.6 39.3 Trucking and warehousing Trucking and courier services, except air. Public warehousing and storage 42 421 422 40.9 41.0 40.6 40.3 40.2 40.6 40.7 40.8 39.8 41.3 41.4 40.0 Water transportation: Water transportation services . 449 35.7 34.6 35.4 34.7 Pipelines, except natural gas . 46 42.9 43.6 42.4 42.3 Transportation services Passenger transportation arrangement .... Travel agencies Freight transportation arrangement 47 472 4724 473 38.4 38.1 38.3 38.1 37.8 37.3 37.3 37.9 37.7 36.7 36.8 38.2 37.2 35.7 35.8 37.7 Communications Telephone communications Telephone communications, except radio . Radio and television broadcasting Cable and other pay television services 48 481 4813 483 484 40.9 41.7 42.4 36.4 42.5 40.8 41.8 42.6 36.1 42.2 40.8 41.9 42.1 36.2 41.1 40.3 41.4 41.9 35.7 41.2 Electric, gas, and sanitary services Electric services Gas production and distribution Combination utility services Sanitary services 49 491 492 493 495 42.2 41.7 41.7 43.1 43.1 42.1 41.4 41.3 43.0 43.4 42.0 42.4 41.2 42.6 41.4 41.5 41.7 40.6 42.7 41.1 38.6 38.2 38.8 38.3 39.2 37.6 38.6 40.0 40.8 39.8 41.2 38.6 39.1 39.8 36.5 38.7 37.1 37.8 39.8 39.9 38.5 40.5 38.2 38.8 39.1 36.0 39.2 37.5 37.5 39.3 41.2 39.9 41.3 37.7 39.8 39.7 37.0 38.8 36.9 37.9 39.2 40.5 40.7 40.6 37.4 39.7 39.2 36.9 37.8 37.1 36.3 38.5 39.3 34.0 40.3 38.4 39.3 35.4 37.6 37.2 36.2 37.7 39.2 33.9 40.4 37.3 38.6 35.4 38.3 34.4 37.6 38.3 40.8 32.4 40.3 38.4 38.6 36.5 37.7 34.5 36.6 38.4 39.9 31.8 39.0 37.8 37.8 36.2 29.9 28.8 29.8 29.5 35.9 37.5 35.4 31.5 32.9 35.5 37.3 34.9 30.3 32.1 36.3 38.2 35.4 31.5 32.9 36.0 37.8 35.3 31.3 32.6 Transportation and public utilities—Continued Railroad transportation: Class I railroads plus Amtrak3 Wholesale trade . Durable goods Motor vehicles, parts, and supplies Furniture and home furnishings Lumber and other construction materials Professional and commercial equipment Medical and hospital equipment Metals and minerals, except petroleum Electrical goods Hardware, plumbing, and heating equipment. Machinery, equipment, and supplies Misc. wholesale trade durable goods 50 501 502 503 504 5047 505 Nondurable goods Paper and paper products Drugs, proprietaries, and sundries Apparel, piece goods, and notions Groceries and related products Farm-product raw materials Chemicals and allied products Petroleum and petroleum products Beer, wine, and distilled beverages Misc. wholesale trade nondurable goods 51 511 512 513 514 515 506 507 508 509 516 517 518 519 Retail trade . Building materials and garden supplies . Lumber and other building materials ... Paint, glass, and wallpaper stores Hardware stores Retail nurseries and garden stores 52 521 523 525 526 See footnotes at end of table. 108 Average overtime hours Sept. 2000P 38.4 28.8 Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry Transportation and public utilities—Continued Railroad transportation: Class I railroads plus Amtrak3 1987 SIC Code 4011 Average weekly earnings Average hourly earnings Aug. 1999 Sept. 1999 July 2000 Aug. 2000P $18.08 $794.56 $776.56 $806.34 $797.33 Aug. 1999 Sept. 1999 July 2000 Aug. 2000P $17.54 $17.49 $18.12 Sept. 2000P Local and interurban passenger transit Local and suburban transportation Intercity and rural bus transportation 41 411 413 11.76 12.14 13.50 11.65 12.20 13.39 12.35 12.91 13.92 12.41 13.03 13.84 411.60 469.82 525.15 392.61 470.92 518.19 444.60 504.78 540.10 438.07 502.96 543.91 Trucking and warehousing Trucking and courier services, except air Public warehousing and storage 42 421 422 13.91 14.12 11.72 14.05 14.29 11.70 14.28 14.48 12.34 14.30 14.51 12.34 568.92 578.92 475.83 566.22 574.46 475.02 581.20 590.78 491.13 590.59 600.71 493.60 Water transportation: Water transportation services 449 19.39 20.06 20.22 20.29 692.22 694.08 715.79 704.06 Pipelines, except natural gas 46 21.61 22.16 22.69 22.21 927.07 966.18 962.06 939.48 Transportation services Passenger transportation arrangement Travel agencies Freight transportation arrangement 47 472 4724 473 14.15 14.43 14.77 14.37 14.10 14.22 14.51 14.47 14.43 14.53 14.84 14.85 14.61 15.10 15.47 14.82 543.36 549.78 565.69 547.50 532.98 530.41 541.22 548.41 544.01 533.25 546.11 567.27 543.49 539.07 553.83 558.71 Communications Telephone communications Telephone communications, except radio Radio and television broadcasting Cable and other pay television services 48 481 4813 483 484 17.30 17.60 18.12 18.44 14.46 17.30 17.48 18.06 18.70 14.77 17.78 18.01 18.57 18.63 15.46 17.82 18.08 18.70 18.70 15.43 707.57 733.92 768.29 671.22 614.55 705.84 730.66 769.36 675.07 623.29 725.42 754.62 781.80 674.41 635.41 718.15 748.51 783.53 667.59 635.72 Electric, gas, and sanitary services Electric services Gas production and distribution Combination utility services Sanitary services 49 491 492 493 495 20.56 21.58 18.66 25.12 16.98 20.79 21.99 18.98 25.06 17.10 21.47 22.58 19.60 25.56 18.05 21.45 22.56 19.60 25.35 18.21 867.63 899.89 778.12 1,082.67 731.84 14.65 14.68 15.25 15.16 Wholesale trade $15.35 875.26 901.74 890.18 910.39 957.39 940.75 783.87 807.52 795.76 1,077.58 1,088.86 1,082.45 742.14 747.27 748.43 565.49 560.78 591.70 580.63 Durable goods Motor vehicles, parts, and supplies Furniture and home furnishings Lumber and other construction materials Professional and commercial equipment Medical and hospital equipment Metals and minerals, except petroleum Electrical goods Hardware, plumbing, and heating equipment... Machinery, equipment, and supplies Misc. wholesale trade durable goods 50 501 502 503 504 5047 505 506 507 508 509 15.32 13.89 13.36 13.85 18.45 17.44 14.71 15.93 13.86 15.33 11.44 15.36 13.95 13.57 13.98 18.43 17.39 14.71 16.11 13.82 15.38 11.49 16.03 14.20 14.56 14.22 19.59 18.85 15.25 16.95 14.53 15.83 12.08 15.94 14.17 14.53 14.19 19.56 18.23 14.96 16.79 14.28 15.77 12.11 600.54 522.26 515.70 554.00 752.76 694.11 606.05 614.90 541.93 610.13 417.56 594.43 517.55 512.95 556.40 735.36 669.52 595.76 615.40 536.22 601.36 413.64 628.38 532.50 546.00 558.85 807.11 752.12 629.83 639.02 578.29 628.45 446.96 618.47 522.87 550.69 556.25 792.18 741.96 607.38 627.95 566.92 618.18 446.86 Nondurable goods Paper and paper products Drugs, proprietaries, and sundries Apparel, piece goods, and notions Groceries and related products Farm-product raw materials Chemicals and allied products Petroleum and petroleum products Beer, wine, and distilled beverages Misc. wholesale trade nondurable goods 51 13.67 13.28 19.13 12.86 13.81 10.53 15.44 12.77 15.97 10.95 13.70 13.30 19.33 12.96 13.83 10.74 15.43 12.82 15.90 10.96 14.12 14.25 20.31 12.99 14.07 11.26 15.33 12.95 16.52 11.38 14.04 13.76 20.15 13.07 14.08 11.10 15.17 13.08 16.23 11.29 516.73 492.69 694.42 495.11 542.73 358.02 622.23 490.37 627.62 387.63 515.12 494.76 699.75 488.59 542.14 364.09 623.37 478.19 613.74 387.98 540.80 490.20 763.66 497.52 574.06 364.82 617.80 497.28 637.67 415.37 529.31 474.72 737.49 501.89 561.79 352.98 591.63 494.42 613.49 408.70 9.05 9.19 9.38 9.41 270.60 264.67 279.52 277.60 10.82 10.97 11.41 10.76 9.09 10.05 11.38 11.46 12.07 11.23 9.17 10.06 388.44 423.38 381.26 279.41 322.75 389.44 425.59 375.52 275.43 322.61 413.09 458.02 394.71 287.91 326.70 412.56 456.25 396.42 287.02 327.96 511 512 513 514 515 516 517 518 519 Retail trade Building materials and garden supplies Lumber and other building materials Paint, glass, and wallpaper stores Hardware stores Retail nurseries and garden stores 52 521 523 525 526 11.29 10.77 8.87 9.81 See footnotes at end of table. 109 11.99 11.15 9.14 9.93 9.57 Sept. 2000P $589.44 275.62 ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average weekly hours Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 53 531 533 539 30.2 30.3 28.0 31.0 29.5 29.5 27.3 29.9 30.1 30.2 27.6 30.9 29.5 29.5 27.9 30.7 Food stores Grocery stores . Retail bakeries . 54 541 546 30.8 30.9 29.6 30.3 30.5 28.3 31.0 31.2 29.4 30.9 31.1 29.4 Automotive dealers and service stations New and used car dealers Auto and home supply stores Gasoline service stations Automotive dealers, nee 55 551 553 554 559 36.0 37.1 39.0 32.6 34.4 35.1 36.2 38.0 31.7 34.0 36.0 37.2 38.9 32.5 37.0 35.8 36.8 38.7 32.4 36.6 Apparel and accessory stores Men's and boys' clothing stores Women's clothing stores Family clothing stores Shoe stores 56 561 562 565 566 27.6 29.5 24.5 28.9 27.9 26.2 28.5 23.5 27.0 26.4 26.8 28.5 24.4 27.4 28.1 27.0 27.5 24.3 27.8 28.3 Furniture and home furnishings stores Furniture and home furnishings stores .... Household appliance stores Radio, television, and computer stores ... Radio, television, and electronic stores . Record and prerecorded tape stores 57 571 572 573 5731 5735 33.6 33.4 34.0 33.8 33.3 26.6 32.9 33.0 33.6 32.7 31.8 25.5 32.8 33.1 34.3 32.3 32.2 25.5 32.7 33.1 34.2 31.9 31.6 25.4 Eating and drinking places4 . 58 26.8 25.2 26.6 26.3 Miscellaneous retail establishments Drug stores and proprietary stores Used merchandise stores Miscellaneous shopping goods stores . Nonstore retailers Fuel dealers Retail stores, nee Optical goods stores Miscellaneous retail stores, nee 59 591 593 594 596 598 599 5995 5999 30.2 29.8 30.8 29.0 33.2 36.5 30.6 34.1 30.8 29.3 28.8 30.0 27.5 32.7 36.4 30.0 33.0 30.0 30.3 30.1 29.9 28.7 34.1 36.1 30.8 33.3 31.5 30.1 29.4 29.5 28.6 33.9 35.8 30.7 33.5 31.0 37.0 36.1 36.7 36.1 Retail trade—Continued General merchandise stores Department stores Variety stores Misc. general merchandise stores . Finance, insurance, and real estate5 ... Depository institutions Commercial banks State commercial banks National and commercial banks, nee . Credit unions 60 602 6022 6021,9 606 36.6 36.7 36.2 37.1 36.2 35.4 35.3 35.0 35.6 35.3 36.5 36.4 36.4 36.4 36.3 35.6 35.4 35.4 35.5 35.8 Nondepository institutions ... Personal credit institutions. 61 614 39.1 40.3 37.3 38.3 38.0 39.6 37.5 39.2 Security and commodity brokers: Security and commodity services . 628 38.9 37.8 37.8 37.3 Insurance carriers Life insurance Medical service and health insurance Hospital and medical service plans .. Fire, marine, and casualty insurance .. 63 631 632 6324 633 39.2 39.3 38.4 39.0 39.6 38.4 38.6 37.9 38.5 39.0 38.5 39.0 37.9 38.4 38.3 38.0 38.8 37.9 38.5 37.4 33.2 32.3 33.0 32.9 35.4 34.9 35.8 35.5 Services . Agricultural services 07 See footnotes at end of table. 110 Average overtime hours Sept. 2000P 36.1 32.5 Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued industry Retail trade—Continued General merchandise stores Department stores Variety stores Misc. general merchandise stores 1987 SIC Code Average hourly earnings Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Average weekly earnings Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 53 531 533 539 $8.99 9.06 7.77 8.79 $9.14 9.23 7.82 8.94 $9.38 9.51 7.62 9.03 $9.48 9.62 7.61 9.07 $271.50 274.52 217.56 272.49 $269.63 272.29 213.49 267.31 $282.34 287.20 210.31 279.03 $279.66 283.79 212.32 278.45 Food stores Grocery stores Retail bakeries 54 541 546 9.19 9.29 8.33 9.36 9.46 8.53 9.28 9.32 9.08 9.29 9.32 9.14 283.05 287.06 246.57 283.61 288.53 241.40 287.68 290.78 266.95 287.06 289.85 268.72 Automotive dealers and service stations . New and used car dealers Auto and home supply stores Gasoline service stations Automotive dealers, nee 55 551 553 554 559 12.72 16.08 10.40 8.15 13.96 12.77 16.14 10.43 8.19 13.15 13.16 16.54 10.84 8.48 13.06 13.02 16.28 10.92 8.46 13.22 457.92 596.57 405.60 265.69 480.22 448.23 584.27 396.34 259.62 447.10 473.76 615.29 421.68 275.60 483.22 466.12 599.10 422.60 274.10 483.85 Apparel and accessory stores Men's and boys' clothing stores Women's clothing stores Family clothing stores Shoe stores 56 561 562 565 566 8.78 10.19 8.84 8.58 8.39 8.98 10.44 9.06 8.75 8.56 9.25 10.81 9.25 9.16 8.68 9.22 10.75 9.27 9.09 8.73 242.33 300.61 216.58 247.96 234.08 235.28 297.54 212.91 236.25 225.98 247.90 308.09 225.70 250.98 243.91 248.94 295.63 225.26 252.70 247.06 Furniture and home furnishings stores .... Furniture and home furnishings stores .. Household appliance stores Radio, television, and computer stores . Radio, television, and electronic stores Record and prerecorded tape stores ... 57 571 572 573 12.42 11.62 11.67 13.49 12.63 7.51 12.44 11.74 11.65 13.41 12.40 7.57 12.69 11.93 12.06 13.76 12.86 7.85 12.69 11.84 12.15 13.87 13.23 7.76 417.31 388.11 396.78 455.96 420.58 199.77 409.28 387.42 391.44 438.51 394.32 193.04 416.23 394.88 413.66 444.45 414.09 200.18 414.96 391.90 415.53 442.45 418.07 197.10 Eating and drinking places4 58 6.62 6.68 6.90 6.95 177.42 168.34 183.54 182.79 Miscellaneous retail establishments Drug stores and proprietary stores Used merchandise stores Miscellaneous shopping goods stores ... Nonstore retailers Fuel dealers Retail stores, nee Optical goods stores Miscellaneous retail stores, nee 59 591 593 594 596 598 599 5995 5999 9.78 10.39 10.27 11.13 9.04 10.47 12.86 9.97 11.64 10.29 9.90 10.63 8.32 9.16 10.44 13.07 9.99 11.52 10.36 10.27 11.14 8.47 9.55 11.91 10.72 13.55 10.25 11.98 10.61 295.36 309.62 252.25 262.16 347.60 469.39 305.08 396.92 316.93 290.07 306.14 249.60 251.90 341.39 475.75 299.70 380.16 310.80 311.18 335.01 250.56 273.22 368.96 484.46 318.47 396.60 337.68 309.13 327.52 249.87 273.13 366.80 485.09 314.68 401.33 328.91 14.62 14.64 15.01 14.99 540.94 528.50 550.87 541.14 5731 5735 Finance, insurance, and real estate5 8.19 8.38 9.52 10.82 13.42 10.34 10.82 $15.11 Depository institutions Commercial banks State commercial banks National and commercial banks, nee ... Credit unions 60 602 6022 6021,9 606 11.29 10.81 10.45 11.06 11.02 11.23 10.75 10.50 10.91 11.07 11.67 11.14 10.89 11.31 11.46 11.65 11.12 10.84 11.32 11.38 413.21 396.73 378.29 410.33 398.92 397.54 379.48 367.50 388.40 390.77 425.96 405.50 396.40 411.68 416.00 414.74 393.65 383.74 401.86 407.40 Nondepository institutions Personal credit institutions 61 614 15.48 12.79 15.39 12.67 15.88 13.24 15.81 13.20 605.27 515.44 574.05 485.26 603.44 524.30 592.88 517.44 Security and commodity brokers: Security and commodity services 628 21.75 21.88 22.47 22.35 846.08 827.06 849.37 833.66 Insurance carriers Life insurance Medical service and health insurance ... Hospital and medical service plans Fire, marine, and casualty insurance 63 631 632 6324 633 17.11 15.53 16.27 16.67 18.56 17.08 15.43 16.26 16.64 18.55 17.55 16.12 16.66 17.02 19.06 17.54 16.09 16.73 17.12 19.03 670.71 610.33 624.77 650.13 734.98 655.87 595.60 616.25 640.64 723.45 675.68 628.68 631.41 653.57 730.00 666.52 624.29 634.07 659.12 711.72 13.23 13.45 13.74 13.70 439.24 434.44 453.42 450.73 10.26 10.61 10.80 10.85 363.20 370.29 386.64 385.18 Services Agricultural services 07 See footnotes at end of table. 111 13.96 Sept. 2000P $545.47 453.70 ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average weekly hours Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 074 078 29.3 37.7 28.3 37.7 29.4 38.3 28.9 38.1 Hotels and other lodging places: Hotels and motels4 701 32.2 31.0 32.1 31.8 Personal services: Laundry, cleaning, and garment services Beauty shops4 Miscellaneous personal services 721 723 729 34.2 28.1 28.4 33.8 27.4 27.8 34.0 27.9 28.1 34.0 27.9 28.0 Business services Advertising Mailing, reproduction, and stenographic services Photocopying and duplicating services Services to buildings Disinfecting and pest control services Building maintenance services, nee Miscellaneous equipment rental and leasing Medical equipment rental Heavy construction equipment rental Equipment rental and leasing, nee Personnel supply services: Help supply services Computer and data processing services Computer programming services Computer integrated systems design Information retrieval services Computer maintenance and repair Miscellaneous business services Detective and armored car services Security systems services 73 731 34.1 37.0 32.7 36.3 33.7 36.7 33.9 35.5 7334 734 7342 7349 735 7352 7353 7359 36.4 29.4 38.5 28.5 38.8 36.2 41.4 38.5 37.0 28.5 37.6 27.7 38.2 35.3 40.9 38.1 36.2 28.8 39.1 27.8 38.5 35.8 41.1 38.3 36.7 28.9 38.0 28.0 38.2 34.8 41.4 38.0 7363 737 7371 7373 7375 7378 738 7381 7382 32.7 39.3 38.2 40.5 39.7 40.7 33.9 35.8 36.2 30.3 38.6 37.7 39.2 38.6 39.4 33.2 35.0 37.1 32.1 38.6 37.8 38.9 37.3 39.5 33.7 35.8 36.5 33.0 38.0 37.6 38.4 36.5 38.7 33.5 35.6 37.5 Auto repair, services, and parking Automotive rentals, without drivers Passenger car rental Automobile parking Automotive repair shops Automotive and tire repair shops General automotive repair shops Automotive services, except repair Carwashes 75 751 7514 752 753 7532,4 7538 754 7542 36.3 36.7 36.3 33.5 38.3 38.7 38.0 32.0 29.2 35.2 36.1 35.7 32.6 37.3 38.0 36.5 30.2 27.5 36.1 37.0 36.9 34.1 37.5 37.9 36.8 32.4 30.2 36.0 37.0 37.1 33.2 37.5 37.9 36.9 32.4 30.2 Miscellaneous repair services 76 38.2 37.7 38.1 37.8 Motion pictures Motion picture production and services Video tape rental 78 781 784 31.6 39.4 25.0 30.7 39.3 23.9 32.6 40.1 26.3 32.9 41.0 25.6 Amusement and recreation services Bowling centers Misc. amusement and recreation services Physical fitness facilities Membership sports and recreation clubs 79 793 799 7991 7997 28.3 25.9 28.7 19.6 29.1 25.7 25.0 25.4 18.5 27.6 27.7 25.4 28.1 18.7 30.1 27.4 25.1 27.6 18.6 29.1 Health services Offices and clinics of medical doctors Offices and clinics of dentists Offices and clinics of other health practitioners .. Nursing and personal care facilities Intermediate care facilities Hospitals 80 801 802 804 805 8052 806 33.0 33.1 28.0 30.5 32.8 32.0 34.6 32.8 32.8 27.7 30.0 32.6 31.7 34.4 33.3 32.8 27.6 30.4 33.4 32.7 35.1 33.0 32.5 27.9 30.4 32.5 31.8 35.0 Services—Continued Agricultural services—Continued Veterinary services Landscape and horticultural services See footnotes at end of table. 112 Average overtime hours Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Aug. 1999 Sept. 1999 July 2000 Aug. 2000P $10.79 10.93 $302.08 387.56 $297.15 402.26 $314.87 416.32 $311.83 416.43 9.43 9.46 292.70 287.68 302.70 300.83 10.17 9.13 10.33 10.54 9.11 10.35 10.48 299.93 277.63 284.57 298.12 270.99 282.73 310.42 288.21 296.17 309.74 288.77 293.44 13.24 18.90 13.40 18.88 13.98 20.02 13.84 19.69 451.48 699.30 438.18 685.34 471.13 734.73 469.18 699.00 11.86 8.62 12.15 11.80 8.68 12.11 8.99 12.41 8.53 12.00 436.60 247.38 453.46 229.36 517.99 464.20 741.93 453.34 438.38 258.91 485.23 237.13 524.37 475.78 736.51 469.94 440.40 257.79 463.60 238.00 524.10 458.66 742.30 472.34 Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 074 078 $10.31 10.28 $10.50 10.67 $10.71 10.87 Hotels and other lodging places: Hotels and motels4 701 9.09 9.28 Personal services: Laundry, cleaning, and garment services Beauty shops4 Miscellaneous personal services 721 723 729 8.77 9.88 8.82 9.89 10.02 Business services Advertising Mailing, reproduction, and stenographic services: Photocopying and duplicating services Services to buildings Disinfecting and pest control services Building maintenance services, nee Miscellaneous equipment rental and leasing Medical equipment rental Heavy construction equipment rental Equipment rental and leasing, nee Personnel supply services: Help supply services Computer and data processing services Computer programming services Computer integrated systems design Information retrieval services Computer maintenance and repair Miscellaneous business services Detective and armored car services Security systems services 73 731 7334 734 7342 7349 735 7352 7353 7359 Auto repair, services, and parking Automotive rentals, without drivers Passenger car rental Automobile parking Automotive repair shops Automotive and tire repair shops General automotive repair shops Automotive services, except repair Carwashes Services—Continued Agricultural services—Continued Veterinary services Landscape and horticultural services Average weekly earnings Average hourly earnings Sept. 2000P 8.19 12.06 8.28 13.41 13.41 17.73 13.56 13.15 18.14 13.62 17.92 13.72 13.18 17.93 11.88 12.03 12.27 12.43 431.70 253.43 467.78 233.42 520.31 485.44 734.02 457.38 10.47 22.48 25.43 21.69 15.69 17.69 10.47 8.64 13.58 10.63 22.48 25.38 21.63 15.70 17.60 10.59 8.80 13.75 11.14 23.49 27.01 22.15 15.76 17.17 10.93 9.33 14.74 11.10 23.44 26.88 22.26 15.97 16.91 10.90 9.30 14.57 342.37 883.46 971.43 878.45 622.89 719.98 354.93 309.31 491.60 322.09 357.59 366.30 867.73 906.71 890.72 956.83 1,020.98 1,010.69 847.90 861.64 854.78 606.02 587.85 582.91 693.44 678.22 654.42 351.59 368.34 365.15 308.00 334.01 331.08 510.13 538.01 546.38 75 751 7514 752 753 7532,4 7538 754 7542 11.45 10.98 10.03 8.58 11.54 11.15 11.85 11.37 10.55 9.00 13.35 11.90 406.21 402.52 367.35 282.97 481.54 514.90 464.65 262.14 210.65 427.79 420.69 389.30 306.90 500.63 535.91 480.24 287.71 237.37 428.40 421.43 391.41 292.82 503.25 540.45 481.91 290.30 236.77 Miscellaneous repair services 7363 737 7371 7373 7375 7378 738 7381 7382 14.26 8.68 7.66 14.14 13.05 8.88 7.86 8.96 7.84 415.64 402.97 364.09 287.43 493.30 518.97 484.12 273.92 221.04 13.88 14.37 14.44 530.22 523.28 547.50 545.83 16.11 7.51 14.40 19.38 7.78 14.73 21.44 7.52 19.36 7.74 483.16 822.67 187.75 494.58 842.59 179.73 469.44 777.14 204.61 484.62 793.76 198.14 799 7991 7997 9.28 7.92 8.67 9.26 9.18 9.80 7.93 9.24 9.48 9.72 9.45 8.24 8.82 9.83 9.24 9.54 8.37 8.91 9.89 9.35 262.62 205.13 248.83 181.50 267.14 251.86 198.25 234.70 175.38 268.27 261.77 209.30 247.84 183.82 278.12 261.40 210.09 245.92 183.95 272.09 80 801 802 804 805 8052 806 14.20 14.88 14.80 12.95 10.19 9.75 15.94 14.34 14.97 14.89 13.04 10.33 9.93 16.14 14.75 15.44 15.59 13.11 10.74 10.34 16.50 14.76 15.46 15.59 13.14 10.74 10.27 16.52 468.60 492.53 414.40 394.98 334.23 312.00 551.52 470.35 491.02 412.45 391.20 336.76 314.78 555.22 491.18 506.43 430.28 398.54 358.72 338.12 579.15 487.08 502.45 434.96 399.46 349.05 326.59 578.20 13.41 12.74 10.29 8.68 12.91 13.55 12.73 8.56 7.57 76 13.88 Motion pictures Motion picture production and services Video tape rental 78 781 784 15.29 20.88 Amusement and recreation services Bowling centers Misc. amusement and recreation services Physical fitness facilities Membership sports and recreation clubs 79 Health services Offices and clinics of medical doctors Offices and clinics of dentists Offices and clinics of other health practitioners ... Nursing and personal care facilities Intermediate care facilities Hospitals 793 12.88 See footnotes at end of table. 13.29 8.92 12.20 8.50 113 11.39 10.55 8.82 13.42 13.06 Sept. 2000P ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry 1987 SIC Code Average weekly hours Aug. 1999 Sept. 1999 July 2000 Aug. 2000P 808 29.4 29.1 29.5 29.4 Legal services 81 35.5 34.7 35.8 34.9 Social services Individual and family services Job training and related services Child day care services Residential care Social services, nee 83 832 833 835 836 839 31.7 31.4 31.0 30.7 32.9 32.2 31.2 31.2 30.8 29.5 32.5 32.4 31.6 31.4 30.8 30.3 33.2 32.1 31.2 30.9 30.3 30.3 32.5 31.3 Membership organizations: Professional organizations 862 35.4 35.1 35.4 35.0 Engineering and management services ... Engineering and architectural services ... Engineering services Architectural services Surveying services Accounting, auditing, and bookkeeping .. Research and testing services Commercial physical research Commercial nonphysical research Noncommercial research organizations Management and public relations Management services Management consulting services Public relations services 87 871 8711 8712 8713 872 873 8731 8732 8733 874 8741 8742 8743 37.7 39.6 40.0 38.4 38.1 36.5 36.9 39.4 32.0 36.8 36.7 35.9 37.0 36.9 37.1 39.1 39.6 37.7 37.1 36.0 36.3 38.8 31.4 36.2 36.2 35.5 36.4 35.7 37.3 39.2 39.5 38.7 37.0 37.0 36.6 39.1 31.1 36.8 36.1 35.9 36.4 35.6 36.9 38.8 39.0 38.4 37.7 36.3 36.6 38.8 31.8 36.2 35.7 35.4 36.3 34.9 Services, nee 89 35.7 34.8 35.4 35.2 Services—Continued Health services—Continued Home health care services See footnotes at end of table. 114 Average overtime hours Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P ESTABLISHMENT DATA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-15. Average hours and earnings of production or nonsupervisory workers1 on private nonfarm payrolls by detailed industry—Continued Industry Services—Continued Health services—Continued Home health care services 1987 SIC Code 808 Average weekly earnings Average hourly earnings Aug. 1999 Sept. 1999 July 2000 Aug. 2000P $12.06 $12.18 $12.53 Sept. 2000P Aug. 1999 Sept. 1999 July 2000 Aug. 2000P $12.42 $354.56 $354.44 $369.64 $365.15 Legal services 81 19.10 19.03 20.42 19.99 678.05 660.34 731.04 697.65 Social services Individual and family services Job training and related services Child day care services Residential care Social services, nee 83 832 833 835 836 839 9.54 10.09 9.22 8.13 9.76 11.82 9.66 10.14 9.31 8.49 9.84 11.74 9.92 10.51 9.58 8.50 10.13 12.34 9.86 10.40 9.56 8.50 10.11 12.15 302.42 316.83 285.82 249.59 321.10 380.60 301.39 316.37 286.75 250.46 319.80 380.38 313.47 330.01 295.06 257.55 336.32 396.11 307.63 321.36 289.67 257.55 328.58 380.30 Membership organizations: Professional organizations 862 18.74 19.00 19.35 19.18 663.40 666.90 684.99 671.30 Engineering and management services ... Engineering and architectural services ... Engineering services Architectural services Surveying services Accounting, auditing, and bookkeeping .. Research and testing services Commercial physical research Commercial nonphysical research Noncommercial research organizations Management and public relations Management services Management consulting services Public relations services 87 871 8711 8712 8713 872 873 8731 8732 8733 874 8741 8742 8743 18.59 20.15 20.99 18.47 14.40 16.10 18.41 20.19 14.91 21.89 18.40 16.40 21.20 16.74 18.69 20.34 21.17 18.56 14.64 15.93 18.44 20.22 14.98 21.99 18.59 16.51 21.58 16.78 18.95 20.84 21.75 18.99 14.68 16.18 18.66 20.65 14.67 22.05 18.69 16.86 21.53 17.91 18.88 20.85 21.73 19.01 14.93 15.96 18.65 20.61 14.63 22.39 18.55 16.88 21.05 17.70 700.84 797.94 839.60 709.25 548.64 587.65 679.33 795.49 477.12 805.55 675.28 588.76 784.40 617.71 693.40 795.29 838.33 699.71 543.14 573.48 669.37 784.54 470.37 796.04 672.96 586.11 785.51 599.05 706.84 816.93 859.13 734.91 543.16 598.66 682.96 807.42 456.24 811.44 674.71 605.27 783.69 637.60 696.67 808.98 847.47 729.98 562.86 579.35 682.59 799.67 465.23 810.52 662.24 597.55 764.12 617.73 Services, nee 89 18.63 18.92 18.55 18.89 665.09 658.42 656.67 664.93 1 Data relate to production workers in mining and manufacturing; construction workers in construction; and nonsupervisory workers in transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services. 2 See table B-15a for average hourly earnings in aircraft (SIC 3721) and guided missiles and space vehicles (SIC 3761) manufacturing. 3 Data relate to line-haul railroads with operating revenues of $253.7 million or more in 1993 and to Amtrak. 4 Sept. 2000P Money payments only tips; not included. Excludes nonoffice commissioned real estate sales agents. ~ Data not available. P = preliminary. NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all unadjusted data from April 1999 forward are subject to revision. 5 115 A Note on Average Hourly Earnings in Aircraft (SIC 3721) and Guided Missiles and Space Vehicles (SIC 3761) Manufacturing For many years, the Bureau of Labor Statistics average hourly earnings series for production workers in aircraft manufacturing (SIC 3721) and guided missiles and space vehicles manufacturing (SIC 3761) have been used to escalate labor costs in contracts between aerospace companies and their customers. Although the Bureau's series by definition take account of traditional wage rate changes, they do not capture "lump-sum payments to workers in lieu of general wage increases" which were negotiated in aerospace manufacturers' collective bargaining agreements beginning in late 1983. Because of special circumstances in the aerospace industry, BLS has calculated average hourly earnings series for SIC 3721 and SIC 3761 which include lump-sum payments. These series, beginning in October 1983, the effective date of the first aerospace bargaining agreement using lump-sum payments, were published in the June 1988 issue of Employment and Earnings. Current and year earlier data are presented in table B-lSa along with the average hourly earnings series produced as part of the Current Employment Statistics program. An explanation of the methodology used to derive these series appears in the Explanatory Notes of this publication. B-15a. Average hourly earnings in aircraft (SIC 3721) and guided missiles and space vehicles (SIC 3761) manufacturing Aircraft (SIC 3721) Series Guided missiles and space vehicles (SIC 3761) July 1999 Aug. 1999 July 2000 Aug. 2000P July 1999 Aug. 1999 July 2000 Aug. 2000P Average hourly earnings, excluding lump-sum payments $21.80 $21.95 $22.92 $23.13 $21.71 $21.63 $21.51 $21.45 Average hourly earnings, including lump-sum payments 21.83 22.01 23.06 23.22 21.86 21.77 21.56 21.50 preliminary. 116 ESTABLISHMENT DATA EARNINGS NOT SEASONALLY ADJUSTED B-16. Average hourly earnings, excluding overtime1, of production workers on manufacturing payrolls Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P 13.20 $13.33 $13.64 $13.62 $13.72 Durable goods Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Fabricated metal products Industrial machinery and equipment Electronic and other electrical equipment Transportation equipment Instruments and related products Miscellaneous manufacturing 13.68 10.93 10.74 12.92 14.85 12.78 14.33 12.90 17.05 13.73 10.89 13.82 11.00 10.80 13.08 15.01 12.90 14.44 13.00 17.32 13.76 11.00 14.11 11.29 11.30 13.41 15.54 13.11 14.79 13.16 17.75 14.11 11.30 14.14 11.27 11.31 13.39 15.42 13.18 14.84 13.15 17.87 14.09 11.23 14.23 (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) Nondurable goods Food and kindred products Tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and misc. plastics products Leather and leather products 12.47 11.28 20.03 10.17 8.63 14.94 13.29 16.43 19.71 11.74 9.57 12.59 11.36 18.40 10.23 8.73 15.11 13.40 16.60 20.01 11.84 9.65 12.91 11.67 20.29 10.42 8.79 15.30 13.77 17.18 19.76 12.22 9.82 12.83 11.61 20.00 10.44 8.81 15.23 13.72 17.02 19.57 12.19 9.86 $12.93 (2) (2) (2) (2) (2) (2) (2) (2) (2) (2) Industry Manufacturing 1 Derived by assuming that overtime hours are paid at the rate of time and one-half. 2 Not available. P = preliminary. NOTE: Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all unadjusted data from April 1999 forward are subject to revision. 117 ESTABLISHMENT DATA EARNINGS NOT SEASONALLY ADJUSTED B-17. Average hourly and weekly earnings of production or nonsupervisory workers1 on private nonfarm payrolls by major industry, in current and constant (1982) dollars2 Average hourly earnings Industry Average weekly earnings Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P Total private: Current dollars Constant (1982) dollars $13.20 7.81 $13.38 7.87 $13.68 7.83 $13.67 7.82 $13.88 $463.32 $458.93 $477.43 $474.35 $477.47 274.15 269.96 273.13 271.52 (3) (3) Mining: Current dollars Constant (1982) dollars 17.05 10.09 17.13 10.08 17.13 9.80 16.94 9.70 $17.19 (3) 758.73 448.95 758.86 446.39 775.99 443.93 762.30 $780.43 436.35 (3) Construction: Current dollars Constant (1982) dollars 17.31 10.24 17.46 10.27 17.95 10.27 18.05 10.33 $18.19 (3) 692.40 409.70 673.96 396.45 723.39 413.84 725.61 $727.60 415.35 (3) Manufacturing: Current dollars Constant (1982) dollars 13.95 8.25 14.11 8.30 14.37 8.22 14.38 8.23 $14.51 (3) 583.11 345.04 588.39 346.11 590.61 337.88 595.33 $605.07 340.77 (3) Transportation and public utilities: Current dollars Constant (1982) dollars 15.69 9.28 15.80 9.29 16.19 9.26 16.22 9.28 $16.28 (3) 618.19 365.79 608.30 357.82 634.65 363.07 630.96 $633.29 361.17 (3) Wholesale trade: Current dollars Constant (1982) dollars 14.65 8.67 14.68 8.64 15.25 8.72 15.16 8.68 $15.35 (3) 565.49 334.61 560.78 329.87 591.70 338.50 580.63 $589.44 332.36 (3) Retail trade: Current dollars Constant (1982) dollars 9.05 5.36 9.19 5.41 9.38 5.37 9.41 5.39 $9.57 (3) 270.60 160.12 264.67 155.69 279.52 159.91 277.60 $275.62 158.90 (3) Finance, insurance, and real estate: Current dollars Constant (1982) dollars 14.62 8.65 14.64 8.61 15.01 8.59 14.99 8.58 $15.11 (3) 540.94 320.08 528.50 310.88 550.87 315.14 541.14 $545.47 309.75 (3) Services: Current dollars Constant (1982) dollars 13.23 7.83 13.45 7.91 13.74 7.86 13.70 7.84 $13.96 (3) 439.24 259.91 434.44 255.55 453.42 259.39 450.73 $453.70 258.00 (3) 1 Data relate to production workers in mining and manufacturing; construction workers in construction; and nonsupervisory workers in transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services. 2 Data for all constant (1982) dollar series have been revised from January 2000 through August 2000 due to corrections in the CPI-W. 3 Not available. Aug. 1999 Sept. 1999 July 2000 Aug. 2000P Sept. 2000P P = preliminary. NOTE: The Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W) is used to deflate the earnings series. Establishment survey estimates are currently projected from March 1999 benchmark levels. When more recent benchmark data are introduced, all unadjusted data from April 1999 forward are subject to revision. 118 ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas Average hourly earnings Average weekly hours State and area Average weekly earnings August 1999 July 2000 August 2000P $12.90 13.34 14.12 $530.04 549.61 644.47 $530.66 554.27 605.35 $535.35 561.61 591.63 August 1999 July 2000 August 2000P 41.9 41.7 44.6 41.2 41.8 42.6 41.5 42.1 41.9 $12.65 13.18 14.45 $12.88 13.26 14.21 Alaska 58.5 48.1 53.3 11.62 12.02 11.49 679.77 578.16 612.42 Arizona 40.5 40.2 39.7 12.74 12.75 12.64 515.97 512.55 501.81 Arkansas Fayetteville-Springdale-Rogers Fort Smith Little Rock-North Little Rock Pine Bluff 41.5 41.8 40.6 42.8 38.4 41.0 39.1 40.8 41.6 39.5 41.7 40.1 41.1 41.8 39.8 11.60 11.31 11.54 12.05 13.30 12.01 11.67 11.94 12.85 13.64 11.95 11.63 11.93 12.94 13.49 481.40 472.76 468.52 515.74 510.72 492.41 456.30 487.15 534.56 538.78 498.32 466.36 490.32 540.89 536.90 California Bakersfield Fresno Los Angeles-Long Beach Modesto Oakland Orange County Riverside-San Bernardino Sacramento Salinas San Diego San Francisco San Jose Santa Barbara-Santa Maria-Lompoc Santa Rosa Stockton-Lodi Vallejo-Fairfield-Napa Ventura 41.6 42.2 42.0 42.0 42.6 42.1 42.5 42.2 41.3 42.6 40.5 39.9 42.8 40.6 40.3 41.5 41.0 42.2 41.3 42.8 40.5 42.1 38.3 42.8 43.6 43.0 40.3 42.9 39.7 40.2 42.4 40.6 39.9 42.5 42.2 41.5 41.6 42.6 41.0 41.8 38.9 43.0 43.5 42.9 40.3 42.5 40.0 40.2 42.7 40.8 39.4 42.7 41.1 42.0 13.99 13.96 11.99 13.14 13.71 15.62 13.39 12.44 15.06 14.22 13.71 14.83 17.27 14.28 14.88 13.71 15.94 12.82 14.34 14.06 12.22 13.32 14.20 16.17 13.62 12.58 15.06 13.90 13.68 14.68 17.55 14.56 15.09 13.65 15.66 13.00 14.31 14.05 12.06 13.35 14.25 16.21 13.58 12.63 15.10 14.04 13.69 17.58 14.56 15.07 13.79 15.57 12.96 581.98 589.11 503.58 551.88 584.05 657.60 569.08 524.97 621.98 605.77 555.26 591.72 739.16 579.77 599.66 568.97 653.54 541.00 592.24 601.77 494.91 560.77 543.86 692.08 593.83 540.94 606.92 596.31 543.10 590.14 744.12 591.14 602.09 580.13 660.85 539.50 595.30 598.53 494.46 558.03 554.33 697.03 590.73 541.83 608.53 596.70 547.60 590.54 750.67 594.05 593.76 588.83 639.93 544.32 Colorado Denver 41.6 42.7 43.8 42.2 43.6 41.8 14.25 13.49 14.83 14.17 15.18 14.15 592.80 576.02 649.55 597.97 661.85 591.47 Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury 42.2 41.0 41.5 42.6 42.2 42.7 40.2 43.3 41.9 41.3 40.5 43.2 42.4 40.9 39.1 43.4 41.7 40.5 40.2 42.7 41.8 42.4 39.7 44.0 15.33 15.57 15.06 16.24 14.93 16.01 13.27 14.53 15.68 15.55 15.81 16.97 15.49 16.96 13.29 14.42 15.60 15.59 15.68 16.86 15.47 16.62 13.07 14.67 646.93 638.37 624.99 691.82 630.05 683.63 533.45 629.15 656.99 642.22 640.31 733.10 656.78 693.66 519.64 625.83 650.52 631.40 630.34 719.92 646.65 704.69 518.88 645.48 Delaware Dover Wilmington-Newark 43.5 39.7 44.5 43.5 40.5 44.6 43.8 39.2 44.7 16.05 14.30 19.32 16.62 14.60 19.86 16.68 14.68 698.18 567.71 859.74 722.97 591.30 885.76 730.58 575.46 888.64 Alabama Birmingham Mobile August 1999 July 2000 August 2000P District of Columbia: Washington PMSA Florida Georgia Atlanta Savannah Hawaii Honolulu Idaho Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island Decatur Kankakee Peoria-Pekin Rockford Springfield 39.4 39.5 39.1 15.38 15.41 15.41 605.97 608.70 602.53 42.0 41.9 41.8 11.92 12.31 12.25 500.64 515.79 512.05 41.0 40.7 45.9 41.2 39.8 46.7 40.8 39.4 46.9 12.46 13.30 16.37 12.81 13.49 16.63 12.91 13.72 16.65 510.86 541.31 751.38 527.77 536.90 776.62 526.72 540.56 780.88 39.5 40.9 37.5 39.4 38.7 39.9 13.55 13.30 13.64 13.16 13.47 12.95 535.23 543.97 511.50 518.50 521.29 516.71 39.3 38.8 38.4 13.68 14.03 14.23 537.62 544.36 546.43 42.1 41.1 42.8 42.1 41.7 42.3 43.0 41.1 43.6 42.6 41.4 46.8 39.9 41.3 40.0 41.7 42.1 40.0 41.8 42.2 41.5 44.3 39.9 41.4 40.3 41.2 41.2 40.6 41.8 42.3 14.11 18.54 11.86 13.87 15.43 16.76 15.33 16.72 16.73 12.37 14.38 21.52 12.68 14.10 15.53 16.86 15.63 16.90 16.55 13.14 14.33 20.70 12.56 14.09 15.48 16.72 15.62 16.84 15.17 13.16 594.03 761.99 507.61 583.93 643.43 708.95 659.19 687.19 729.43 526.96 595.33 1,007.14 505.93 582.33 621.20 703.06 658.02 676.00 691.79 554.51 594.70 917.01 501.14 583.33 623.84 688.86 643.54 683.70 634.11 556.67 See footnotes at end of table. 119 ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas — Continued Average weekly hours State and area Average hourly earnings Average weekly earnings August 1999 July 2000 August 2000P August 1999 July 2000 Indiana Bloomington Elkhart-Goshen Evansville-Henderson Fort Wayne Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute 42.8 40.6 40.3 44.6 40.2 42.6 44.2 48.6 42.9 44.8 40.6 45.5 41.6 39.5 39.2 43.3 40.5 42.4 43.9 47.0 42.1 44.2 40.9 44.6 42.0 39.6 38.9 42.3 40.7 42.3 43.9 46.8 42.1 44.2 40.7 44.8 $15.28 13.38 13.10 14.84 15.84 20.06 15.52 22.86 16.08 14.34 12.75 13.86 $15.86 14.18 14.01 15.16 16.13 20.82 15.40 23.24 16.84 13.85 12.52 14.10 $15.84 14.22 14.36 14.77 16.06 20.82 15.43 23.00 16.84 13.87 12.67 14.00 $653.98 543.23 527.93 661.86 636.77 854.56 685.98 1,111.00 689.83 642.43 517.65 630.63 $659.78 560.11 549.19 656.43 653.27 882.77 676.06 1,092.28 708.96 612.17 512.07 628.86 677.38 1,076.40 708.96 613.05 515.67 627.20 Iowa Cedar Rapids Des Moines Dubuque Sioux City 40.7 40.2 40.7 40.4 39.1 41.4 42.3 38.6 37.3 38.5 41.2 40.9 40.0 40.1 39.0 14.18 17.48 13.53 14.86 12.52 14.69 18.99 16.36 15.03 12.49 14.56 19.42 15.85 15.04 12.23 577.13 702.70 550.67 600.34 489.53 608.17 803.28 631.50 560.62 480.87 599.87 794.28 634.00 603.10 476.97 Kansas Topeka Wichita 40.9 39.8 41.0 40.8 38.0 42.1 40.4 38.3 41.2 14.41 16.92 16.54 14.99 17.88 17.35 15.08 17.96 17.53 589.37 673.42 678.14 611.59 679.44 730.44 609.23 687.87 722.24 Kentucky Lexington Louisville 42.1 42.6 42.5 41.8 41.5 43.1 42.2 41.5 44.1 14.29 14.43 16.20 14.52 15.28 16.15 14.83 15.22 16.92 601.61 614.72 688.50 606.94 634.12 696.07 625.83 631.63 746.17 Louisiana Baton Rouge New Orleans Shreveport-Bossier City 43.0 42.5 43.7 43.4 42.7 42.6 43.5 42.3 43.5 42.1 43.4 41.8 15.36 17.52 15.35 14.83 15.55 17.55 15.02 15.00 15.48 17.31 15.04 14.89 660.48 744.60 670.80 643.62 663.99 747.63 653.37 634.50 673.38 728.75 652.74 622.40 Maine Lewiston-Aubum Portland 40.7 42.5 41.8 39.9 39.5 43.8 41.0 41.9 45.0 14.03 12.67 11.85 14.67 12.88 12.32 14.44 12.54 12.15 571.02 538.48 495.33 585.33 508.76 539.62 592.04 525.43 546.75 Maryland Baltimore PMSA 41.7 41.7 40.5 41.1 40.4 41.5 14.62 15.31 14.98 15.78 14.80 15.44 638.43 606.69 648.56 597.92 640.76 Massachusetts Boston Springfield Worcester 41.8 40.7 41.5 41.1 41.5 40.4 39.9 42.2 42.0 41.1 40.5 41.9 14.34 15.64 13.83 14.58 14.76 16.09 14.11 14.84 14.63 15.98 14.12 14.75 599.41 636.55 573.95 599.24 612.54 650.04 562.99 626.25 614.46 656.78 571.86 618.03 Michigan Ann Arbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing East Lansing Saginaw-Bay City-Midland 44.7 45.7 45.7 42.3 41.9 42.1 43.7 41.3 44.5 41.4 41.4 43.1 37.3 41.2 43.2 41.7 40.9 45.5 44.0 44.7 43.3 46.4 41.8 44.1 41.7 41.8 47.2 18.03 19.94 20.58 25.12 14.93 12.95 15.20 17.58 22.26 18.44 19.33 20.20 23.46 15.33 13.98 14.74 20.47 22.69 18.61 19.93 19.79 24.93 15.14 13.79 14.68 20.83 22.87 805.94 911.26 940.51 1,062.58 625.57 545.20 664.24 726.05 990.57 763.42 800.26 870.62 875.06 631.60 603.94 614.66 837.22 1,032.40 818.84 890.87 856.91 1,156.75 632.85 608.14 612.16 870.69 1,079.46 Hiinnosoui Duluth-Superior Minneapolis-St. Paul St. Cloud 41.7 37.8 42.1 43.6 40.2 39.4 40.9 43.0 40.7 40.1 41.6 42.7 14.29 12.70 15.30 13.42 15.06 13.78 15.97 13.78 14.94 13.44 15.94 13.89 480.06 644.13 585.11 605.41 542.93 653.17 592.54 608.06 538.94 663.10 593.10 Mississippi Jackson 41.0 39.9 40.6 39.8 40.1 40.6 11.27 12.96 11.66 13.19 11.62 13.07 462.07 517.10 473.40 524.96 465.96 530.64 Missouri Kansas City St. Louis Springfield 41.5 41.2 41.8 42.5 41.2 41.8 42.7 41.4 41.3 41.2 42.2 41.5 13.90 14.41 15.91 11.89 14.23 15.03 16.31 12.51 14.18 15.02 16.25 12.34 576.85 593.69 665.04 505.33 586.28 628.25 696.44 517.91 585.63 618.82 685.75 512.11 Montana 39.5 38.0 38.7 14.19 14.35 14.32 560.51 545.30 554.18 Nebraska Lincoln Omaha 42.1 44.2 43.1 40.1 41.1 41.8 41.3 42.6 41.2 12.71 14.71 13.47 12.98 14.75 14.79 12.80 14.72 14.63 535.09 650.18 580.56 520.50 606.23 618.22 528.64 627.07 602.76 Nevada Las Vegas 41.7 42.2 42.7 43.4 42.2 42.5 13.98 14.42 13.70 12.85 13.59 12.77 582.97 608.52 584.99 557.69 573.50 542.73 See footnotes at end of table. 120 August 2000P August 1999 July 2000 August 2000P $665.28 563.11 558.60 624.77 653.64 ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas — Continued Average hourly earnings Average weekly hours State and area Average weekly earnings August 1999 July 2000 August 2000P August 1999 July 2000 August 2000P New Hampshire Manchester Nashua Portsmouth-Rochester 40.1 38.3 42.1 41.8 40.0 39.2 40.8 40.4 40.3 38.3 41.3 40.9 $13.20 14.22 13.96 13.23 $13.40 14.54 13.79 13.56 $13.28 14.34 14.16 13.67 $529.32 544.63 587.72 553.01 $536.00 569.97 562.63 547.82 $535.18 549.22 584.81 559.10 New Jersey 41.4 41.4 41.5 15.01 15.39 15.33 621.41 637.15 636.20 New Mexico Albuquerque 38.6 37.8 37.5 36.6 38.0 36.9 12.27 14.26 13.30 15.72 13.04 15.76 473.62 539.03 498.75 575.35 495.52 581.54 New York Albany-Schenectady-Troy Binghamton Buffalo-Niagara Falls Dutchess County Elmira Nassau-Suffolk New York PMSA New York City Newburgh Rochester Rockland County Syracuse Utica-Rome Westchester County 41.1 42.9 41.3 42.7 39.4 40.6 39.9 39.2 38.7 42.3 42.0 43.5 41.5 40.1 42.2 40.7 41.6 41.0 42.7 40.4 40.7 39.3 39.2 38.4 40.6 41.8 42.9 40.9 40.2 43.2 40.7 41.7 40.6 42.8 40.9 39.7 39.4 39.3 38.7 40.6 41.9 42.9 41.4 40.3 42.3 13.90 15.22 10.98 17.17 11.84 12.96 12.95 12.85 12.63 11.54 15.86 15.84 15.13 12.40 13.20 14.12 14.91 11.45 17.38 12.61 13.04 13.33 13.03 12.84 11.91 16.52 15.99 15.62 12.96 13.13 14.10 14.81 11.46 17.50 12.67 13.02 13.18 13.11 12.92 12.02 16.37 15.97 15.39 12.91 13.25 571.29 652.94 453.47 733.16 466.50 526.18 516.71 503.72 488.78 488.14 666.12 689.04 627.90 497.24 557.04 574.68 620.26 469.45 742.13 509.44 530.73 523.87 510.78 493.06 483.55 690.54 685.97 638.86 520.99 567.22 573.87 617.58 465.28 749.00 518.20 516.89 519.29 515.22 500.00 488.01 685.90 685.11 637.15 520.27 560.48 North Carolina Asheville Charlotte-Gastonia-Rock Hill Greensboro-Winston-Salem-High Point Raleigh-Durham-Chapel Hill 41.1 42.3 41.6 39.8 42.6 40.9 43.5 41.6 40.2 43.2 40.9 42.4 41.4 40.0 43.6 12.36 11.77 13.51 12.57 13.15 12.80 12.03 13.75 12.88 13.78 12.70 12.09 13.37 12.84 13.74 508.00 497.87 562.02 500.29 560.19 523.52 523.31 572.00 517.78 595.30 519.43 512.62 553.52 513.60 599.06 North Dakota Fargo-Moorhead 39.8 41.8 39.6 40.2 39.5 39.3 11.99 11.70 12.74 12.90 12.59 12.52 477.20 489.06 504.50 518.58 497.31 492.04 Ohio Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren 42.8 42.1 40.4 43.2 43.9 41.6 44.1 45.2 43.9 43.2 40.3 43.3 41.3 42.0 41.3 39.9 43.3 42.3 41.5 41.9 46.7 42.6 42.8 42.3 42.6 40.6 42.2 41.2 40.2 43.3 42.2 41.8 42.7 45.7 43.3 42.4 42.1 43.2 42.5 16.21 13.81 14.16 15.93 16.33 15.05 17.33 17.31 16.58 16.91 18.36 18.55 18.15 16.49 14.25 14.19 16.37 16.22 15.33 17.21 18.16 17.67 16.57 18.64 17.94 17.59 16.47 14.29 14.17 16.44 16.38 15.25 17.50 18.25 17.66 16.36 18.72 18.56 18.25 693.79 581.40 572.06 688.18 716.89 626.08 764.25 782.41 727.86 730.51 739.91 803.22 749.60 692.58 588.53 566.18 708.82 686.11 636.20 721.10 848.07 752.74 709.20 788.47 764.24 714.15 695.03 588.75 569.63 711.85 691.24 637.45 747.25 834.03 764.68 693.66 788.11 801.79 775.63 Oklahoma Oklahoma City Tulsa 41.7 42.2 43.2 41.2 42.2 42.0 41.3 42.1 42.8 12.52 14.22 13.00 13.01 14.30 16.09 13.16 14.56 16.15 522.08 600.08 561.60 536.01 603.46 675.78 543.51 612.98 691.22 Oregon Eugene-Springfield Medford-Ashland Portland-Vancouver Salem 41.2 40.5 39.9 41.0 39.4 39.7 40.2 39.3 40.4 37.9 39.2 39.5 40.0 40.1 37.9 14.60 14.22 13.73 15.12 12.17 15.15 14.38 14.48 15.57 13.33 14.94 14.32 14.52 15.42 13.01 601.52 575.91 547.83 619.92 479.50 601.46 578.08 569.06 629.03 505.21 585.65 565.64 580.80 618.34 493.08 Pennsylvania Allentown-Bethlem-Easton Altoona Erie Harrisburg-Lebanon-Carlisle Johnstown Lancaster Philadelphia PMSA Pittsburgh Reading Scranton-Wilkes-Barre-Hazleton Sharon State College Williamsport York 42.1 41.1 40.0 44.5 40.1 39.2 41.0 41.8 42.9 43.4 41.6 41.0 42.6 40.3 43.3 41.7 40.6 40.3 44.5 40.4 39.0 40.7 42.0 42.4 41.8 40.7 40.5 42.7 41.6 43.9 41.7 40.7 40.5 44.9 39.6 39.5 41.3 42.1 42.4 42.2 41.0 40.9 42.4 41.0 42.7 14.16 13.95 12.82 14.71 14.22 14.48 14.81 13.15 15.35 15.01 11.72 13.71 16.23 15.71 15.08 13.09 14.48 13.14 12.14 15.27 14.44 14.86 13.28 15.29 15.06 11.58 13.68 16.17 15.55 15.00 13.12 14.55 13.21 12.12 15.30 596.14 573.35 512.80 654.60 570.22 458.25 542.43 658.35 657.23 640.15 531.65 587.94 532.07 472.72 640.84 603.82 601.29 529.95 683.08 606.40 457.08 558.00 681.66 666.10 630.34 532.76 586.44 561.08 505.02 670.35 602.15 604.80 537.84 686.52 596.38 457.41 564.98 680.76 659.32 633.00 537.92 595.10 560.10 496.92 653.31 See footnotes at end of table. 121 13.23 15.75 15.32 14.75 12.78 14.34 12.49 11.73 14.80 August 1999 July 2000 August 2000P ESTABLISHMENT DATA STATE AND AREA HOURS AND EARNINGS NOT SEASONALLY ADJUSTED B-18. Average hours and earnings of production workers on manufacturing payrolls in States and selected areas — Continued Average weekly hours State and area Rhode Island Providence-Fall River-Warwick Average hourly earnings August 1999 July 2000 August 2000P August 1999 July 2000 39.9 40.3 39.5 40.5 40.2 40.4 $11.93 12.29 $12.24 12.46 42.4 42.3 42.3 10.72 South Carolina Average weekly earnings August 2000P August 1999 July 2000 August 2000P $12.14 12.37 $476.01 495.29 $483.48 504.63 $488.03 499.75 10.98 10.99 454.53 464.45 464.88 456.23 432.82 491.06 463.10 431.42 508.12 456.46 461.74 526.46 43.0 40.3 44.4 42.8 40.7 44.3 41.8 42.4 46.1 10.61 10.74 11.06 10.82 10.60 11.47 10.92 10.89 11.42 40.8 42.2 40.3 41.0 39.9 39.9 39.7 41.0 40.1 40.2 41.0 39.3 39.5 41.4 38.8 39.9 40.5 39.0 12.44 11.65 12.83 12.34 13.14 13.59 12.96 12.13 13.55 12.96 13.35 14.36 12.98 12.22 13.25 13.02 13.58 13.92 507.55 491.63 517.05 505.94 524.29 542.24 514.51 497.33 543.36 520.99 547.35 564.35 512.71 505.91 514.10 519.50 549.99 542.88 Texas Dallas Ft. Worth-Arlington Houston San Antonio 43.5 42.4 43.7 44.6 42.6 43.5 42.3 43.3 44.8 43.8 43.2 42.2 43.1 44.9 44.4 12.26 12.40 13.47 14.45 9.99 12.38 12.43 13.39 14.47 10.21 12.39 12.44 13.28 14.40 10.21 533.31 525.76 588.64 644.47 425.57 538.53 525.79 579.79 648.26 447.20 535.25 524.97 572.37 646.56 453.32 Utah Salt Lake City-Ogden 39.2 38.9 39.9 39.2 40.3 39.7 13.29 12.86 13.79 13.50 13.64 13.35 520.97 500.25 550.22 529.20 549.69 530.00 Vermont Burlington 40.0 42.5 39.3 32.8 39.8 35.4 13.67 14.61 14.33 14.75 14.36 15.48 546.80 620.93 563.17 483.80 571.53 547.99 Virginia Bristol Charlottesville Danville Lynchburg Northern Virginia Richmond-Petersburg Roanoke 42.5 50.4 42.7 42.2 43.2 40.7 44.9 39.2 42.2 51.1 46.0 43.4 44.7 39.4 41.8 38.8 42.4 47.8 43.1 42.8 44.0 40.1 42.5 38.5 13.39 12.86 10.66 13.31 12.81 14.01 16.27 14.24 13.84 12.67 11.66 14.17 13.24 14.22 16.68 14.56 13.88 12.50 11.66 13.88 13.26 14.45 16.76 15.07 569.08 648.14 455.18 561.68 553.39 570.21 730.52 558.21 584.05 647.44 536.36 614.98 591.83 560.27 697.22 564.93 588.51 597.50 502.55 594.06 583.44 579.45 712.30 580.20 Washington 41.4 40.6 40.3 16.09 16.75 16.68 666.13 680.05 672.20 West Virginia Charleston Huntington-Ashland Parkersburg-Marietta Wheeling 41.7 48.3 40.5 41.9 40.1 40.8 46.4 43.1 43.0 38.6 40.8 47.0 41.7 42.2 38.5 14.09 16.22 15.20 17.40 17.13 14.80 17.12 15.55 18.45 18.34 14.73 17.06 15.35 18.34 18.43 587.55 783.43 615.60 729.06 686.91 603.84 794.37 670.21 793.35 707.92 600.98 801.82 640.10 773.95 709.56 Wisconsin Appleton-Oshkosh-Neenah Eau Claire Green Bay Janesville-Beloit Kenosha La Crosse Madison Milwaukee-Waukesha Racine Sheboygan Wausau 42.1 45.2 41.8 42.6 43.0 39.8 40.5 39.7 41.9 41.2 43.0 43.5 41.1 44.0 42.9 41.1 40.3 37.7 40.1 39.4 40.7 40.3 41.4 42.0 41.3 44.4 42.5 43.9 43.2 40.1 40.3 40.0 40.6 36.9 42.4 41.7 14.39 15.72 12.97 15.08 18.76 15.99 12.14 14.03 15.47 14.29 14.69 13.88 14.71 15.93 13.77 15.56 18.42 15.49 13.00 14.24 15.33 15.34 14.97 14.77 14.68 16.03 13.90 15.55 18.83 17.31 12.80 14.56 15.39 14.27 14.81 14.59 605.82 710.54 542.15 642.41 806.68 636.40 491.67 556.99 648.19 588.75 631.67 603.78 604.58 700.92 590.73 639.52 742.33 583.97 521.30 561.06 623.93 618.20 619.76 620.34 606.28 711.73 590.75 682.65 813.46 694.13 515.84 582.40 624.83 526.56 627.94 608.40 Wyoming 38.0 38.1 39.1 15.37 15.94 15.77 584.06 607.31 616.61 Puerto Rico 41.0 41.0 40.6 8.99 9.22 9.29 368.59 378.02 377.17 Virgin Islands 43.1 South Dakota Rapid City Sioux Falls Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville 18.55 1 Not available. P = preliminary. NOTE: Area definitions are published annually in the May issue of this publication. All 799.51 State and area data (with the exception of data for New Jersey) have been adjusted to March 1999 benchmarks. 122 LABOR FORCE DATA REGIONS AND DIVISIONS SEASONALLY ADJUSTED C-1. Labor force status by census region and division, seasonally adjusted1 (Numbers in thousands) 2000 1999 Census region and division Aug. Sept. Oct. Nov. Jan. Dec. Feb. Mar. Apr. May June July Aug.P NORTHEAST Civilian labor force Employed Unemployed Unemployment rate 26,239.4 26,246.5 26,293.0 26,316.7 26,336.6 26,416.3 26,417.1 26,365.5 26,473.3 26,455.4 26,422.7 26,367.1 26,393.8 25,079.7 25,095.2 25,160.3 25,209.1 25,252.8 25,365.3 25,358.2 25,382.3 25,467.0 25,442.1 25,428.4 25,379.4 25,380.2 983.2 1,006.3 1,013.4 987.7 1,013.6 1,159.7 1,151.3 1,132.7 1,107.6 1,083.9 1,051.0 1,059.0 994.3 3.7 4.0 4.0 4.1 3.7 3.8 4.4 4.3 3.8 4.4 4.2 3.8 3.8 New England Civilian labor force Employed Unemployed Unemployment rate 7,154.1 6,920.6 233.5 3.3 7,163.6 6,930.5 233.1 3.3 7,182.5 6,949.4 233.1 3.2 7,193.2 6,965.4 227.8 3.2 7,201.5 6,978.8 222.7 3.1 7,226.5 7,019.2 207.3 2.9 7,232.8 7,018.9 213.9 3.0 7,201.6 7,017.5 184.1 2.6 7,243.3 7,044.0 199.3 2.8 7,225.4 7,028.4 197.0 2.7 7,220.8 7,023.1 197.8 2.7 7,225.8 7,014.3 211.6 2.9 7,219.7 7,017.7 202.0 2.8 Middle Atlantic Civilian labor force Employed Unemployed Unemployment rate 19,085.3 19,082.9 19,110.5 19,123.5 19,135.1 19,189.8 19,184.3 19,163.9 19,230.0 19,230.1 19,201.8 19,141.3 19,174.2 18,159.1 18,164.7 18,210.9 18,243.7 18,274.0 18,346.1 18,339.3 18,364.8 18,423.0 18,413.7 18,405.3 18,365.1 18,362.5 799.1 843.7 899.6 845.1 816.4 776.2 811.6 879.8 861.1 807.0 796.5 926.2 918.2 4.4 4.7 4.2 4.4 4.2 4.2 4.1 4.1 4.2 4.6 4.5 4.9 4.8 SOUTH2 Civilian labor force Employed Unemployed Unemployment rate 48,440.4 48,581.6 48,748.2 48,881.3 49,012.4 49,142.0 49,249.5 49,307.4 49,322.3 49,396.3 49,299.8 49,306.6 49,374.8 46,469.6 46,607.2 46,774.9 46,929.0 47,076.3 47,254.4 47,330.0 47,382.4 47,434.0 47,467.5 47,384.4 47,456.6 47,463.5 1,970.8 1,974.4 1,973.3 1,952.3 1,936.1 1,887.6 1,919.5 1,925.0 1,888.2 1,928.8 1,915.4 1,849.9 1,911.3 4.0 3.9 3.9 4.0 3.8 4.1 4.0 3.8 3.9 3.9 3.8 4.1 3.9 South Atlantic2 Civilian labor force Employed Unemployed Unemployment rate 25,101.1 25,184.6 25,287.9 25,371.0 25,451.4 25,501.4 25,560.9 25,610.5 25,635.3 25,677.2 25,635.3 25,647.8 25,710.5 24,171.2 24,251.2 24,353.3 24,442.8 24,532.8 24,607.7 24,666.1 24,722.8 24,750.9 24,767.2 24,720.3 24,764.1 24,790.1 887.7 928.2 894.8 933.4 934.6 883.7 918.6 893.7 929.9 884.4 910.0 915.1 920.4 3.5 3.7 3.4 3.5 3.7 3.7 3.4 3.6 3.5 3.7 3.5 3.6 3.6 East South Central Civilian labor force Employed Unemployed Unemployment rate 8,212.7 7,844.3 368.4 4.5 8,227.2 7,861.9 365.4 4.4 8,249.2 7,886.2 363.0 4.4 8,259.3 7,904.8 354.5 4.3 8,273.2 7,924.1 349.1 4.2 8,313.7 7,965.4 348.3 4.2 8,334.0 7,978.4 355.6 4.3 8,332.5 7,991.4 341.1 4.1 8,319.8 7,975.2 344.6 4.1 8,335.1 7,983.8 351.3 4.2 8,331.3 7,987.8 343.5 4.1 8,348.8 8,004.2 344.6 4.1 8,335.9 7,993.6 342.2 4.1 West South Central Civilian labor force Employed Unemployed Unemployment rate 15,126.6 15,169.7 15,211.1 15,251.0 15,287.8 15,327.0 15,354.6 15,364.4 15,367.1 14,454.2 14,494.1 14,535.4 14,581.4 14,619.5 14,681.4 14,685.5 14,668.2 14,707.9 675.7 659.2 668.4 645.6 669.1 696.2 669.6 672.4 675.7 4.3 4.4 4.2 4.4 4.4 4.5 4.4 4.4 4.5 See footnotes at end of table. 123 15,384.0 15,333.2 15,310.0 15,328.4 14,716.5 14,676.3 14,688.3 14,679.8 667.5 621.7 656.8 648.6 4.3 4.1 4.3 4.2 LABOR FORCE DATA REGIONS AND DIVISIONS SEASONALLY ADJUSTED C-1. Labor force status by census region and division, seasonally adjusted1 — Continued (Numbers in thousands) 2000 1999 Census region and division Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug.P MIDWEST3 Civilian labor force Employed Unemployed Unemployment rate 33,473.1 33,543.4 33,640.6 33,720.7 33,816.4 33,888.9 33,906.6 33,900.2 33,952.3 33,937.4 33,953.9 33,992.1 33,992.4 32,268.8 32,356.7 32,470.0 32,565.1 32,671.1 32,791.1 32,775.2 32,756.0 32,815.3 32,761.4 32,778.4 32,792.0 32,780.8 1,204.3 1,186.7 1,170.6 1,155.6 1,145.4 1,097.8 1,131.5 1,144.2 1,137.0 1,176.0 1,175.4 1,200.1 1,211.6 3.5 3.6 3.2 3.4 3.4 3.5 3.4 3.3 3.5 3.5 3.3 3.6 3.5 East North Central 3 Civilian labor force Employed Unemployed Unemployment rate 23,272.7 23,306.0 23,360.6 23,404.4 23,448.8 23,506.5 23,516.3 23,491.8 23,554.6 23,530.5 23,559.9 23,592.3 23,575.0 22,372.5 22,415.7 22,474.7 22,528.7 22,579.5 22,670.7 22,659.9 22,629.5 22,690.9 22,652.5 22,652.1 22,659.1 22,645.6 875.7 885.9 890.4 862.4 856.4 835.8 900.2 863.6 878.0 907.8 869.3 933.1 929.4 3.7 3.7 3.7 3.6 3.8 3.8 3.7 3.9 3.6 3.7 3.9 4.0 3.9 West North Central Civilian labor force Employed Unemployed Unemployment rate 10,200.5 10,237.4 10,280.0 10,316.3 10,367.6 10,382.4 10,390.3 10,408.4 10,397.8 10,406.9 10,393.9 10,399.8 10,417.5 9,896.4 9,941.1 9,995.3 10,036.4 10,091.6 10,120.4 10,115.2 10,126.6 10,124.4 10,108.9 10,126.3 10,132.9 10,135.2 296.3 304.1 273.4 276.0 279.9 284.7 281.8 267.7 267.0 275.1 262.0 282.3 298.0 2.7 2.7 2.8 2.9 3.0 2.6 2.7 2.6 2.6 2.6 2.7 2.9 2.5 WEST Civilian labor force Employed Unemployed Unemployment rate 31,237.0 31,260.6 31,351.4 31,431.9 31,508.3 31,607.8 31,641.1 31,686.0 31,782.0 31,820.2 31,922.1 31,851.5 31,948.0 29,731.2 29,782.0 29,881.2 29,980.9 30,063.4 30,199.9 30,243.5 30,252.1 30,362.3 30,361.0 30,425.6 30,369.8 30,444.4 1,434.0 1,419.8 1,505.8 1,478.7 1,470.2 1,451.0 1,444.9 1,407.8 1,397.5 1,459.2 1,496.5 1,481.7 1,503.5 4.5 4.7 4.7 4.7 4.6 4.7 4.8 4.5 4.6 4.4 4.5 4.6 4.7 Mountain Civilian labor force Employed Unemployed Unemployment rate 8,873.6 8,502.9 370.7 4.2 8,895.5 8,533.4 362.1 4.1 8,928.4 8,568.6 359.8 4.0 8,960.7 8,609.0 351.8 3.9 8,994.5 8,648.1 346.4 3.9 9,014.4 8,679.3 335.2 3.7 9,020.2 8,682.6 337.6 3.7 9,033.4 8,704.2 329.2 3.6 9,042.3 8,712.9 329.4 3.6 9,045.6 8,727.9 317.7 3.5 9,048.4 8,727.0 321.5 3.6 9,072.1 8,742.4 329.7 3.6 9,070.9 8,728.3 342.6 3.8 Pacific Civilian labor force Employed Unemployed Unemployment rate 22,363.4 22,365.1 22,423.0 22,471.2 22,513.8 22,593.3 22,620.9 22,652.6 22,739.7 22,774.6 22,873.7 22,779.3 22,877.1 21,228.3 21,248.5 21,312.5 21,371.9 21,415.3 21,520.6 21,561.0 21,547.9 21,649.4 21,633.1 21,698.7 21,627.4 21,716.2 1,110.4 1,099.2 1,098.5 1,072.7 1,059.9 1,116.5 1,090.4 1,141.5 1,175.0 1,152.0 1,160.9 1,104.8 1,135.1 4.9 4.7 4.9 5.0 5.0 5.0 4.8 5.1 5.1 4.7 4.9 5.1 5.1 p Hampshire, Rhode Island, and Vermont; Middle Atlantic: New Jersey, New York, and Pennsylvania; South Atlantic: Delaware, District of Columbia, Florida, Georgia, Maryland, North Carolina, South Carolina, Virginia, and West Virginia; East South Central: Alabama, Kentucky, Mississippi, and Tennessee; West South Central: Arkansas, Louisiana, Oklahoma, and Texas; East North Central: Illinois, Indiana, Michigan, Ohio, and Wisconsin; West North Central: Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota; Mountain: Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming; and Pacific: Alaska, California, Hawaii, Oregon, and Washington. = preliminary. These estimates are obtained from summing offical State estimates produced and published through the Local Area Unemployment Statistics (LAUS) program. 2 June 2000 LAUS estimates for the South region and the South Atlantic division have been corrected as the result of a correction for Florida. 3 LAUS estimates for the Midwest region and East North Central division are subject to revision when Current Employment Statistics data for Michigan are corrected. NOTE: The States (including the District of Columbia) that compose the various census divisions are: New England: Connecticut, Maine, Massachusetts, New 1 124 STATE LABOR FORCE DATA SEASONALLY ADJUSTED C-2. Labor force status by State, seasonally adjusted (Numbers in thousands) 2000 1999 State Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. 2,144.9 2,040.2 104.7 4.9 2,151.7 2,047.9 103.8 4.8 2,159.2 2,056.9 102.3 4.7 2,169.6 2,067.2 102.3 4.7 2,182.5 2,079.5 103.0 4.7 2.197.8 2,089.7 108.1 4.9 2,199.9 2.098.4 101.6 4.6 2,186.7 2,095.2 91.5 4.2 314.4 294.5 19.9 6.3 314.9 295.5 19.4 6.2 315.7 296.6 19.1 6.0 316.7 297.7 19.0 6.0 317.6 299.4 18.2 5.7 318.9 300.1 18.9 5.9 319.2 300.7 18.5 5.8 2.378.4 2,271.4 107.0 4.5 2,380.8 2,279.3 101.5 4.3 2,386.9 2.285.3 101.6 4.3 2,392.0 2,292.3 99.7 4.2 2,396.5 2,299.7 96.8 4.0 2,401.2 2.302.6 98.7 4.1 1,224.0 1,170.4 53.7 4.4 1,229.5 1,177.2 52.3 4.3 1,236.3 1,184.0 52.3 4.2 1,243.7 1,191.8 51.9 4.2 1,251.8 1,198.6 53.1 4.2 16,619.5 15,783.6 835.9 5.0 16,630.6 15,807.2 823.4 5.0 16,667.4 15.841.6 825.8 5.0 16,695.4 15,870.9 824.5 4.9 2,265.1 2,201.0 64.1 2.8 2,271.9 2,208.0 63.9 2.8 2,281.1 2,216.0 65.0 2.9 1,688.9 1,638.3 50.6 3.0 1,690.2 1,637.8 52.4 3.1 387.3 374.4 12.9 3.3 May June July Aug.P 2,177.7 2,087.7 90.0 4.1 2,187.2 2,093.8 93.4 4.3 2,179.0 2,096.1 82.9 3.8 2,187.6 2,097.7 89.9 4.1 2,195.9 2,096.4 99.5 4.5 320.1 300.8 19.3 6.0 321.3 300.2 21.1 6.6 321.2 301.5 19.7 6.1 321.8 302.0 19.8 6.1 316.8 301.4 17.4 5.5 319.5 300.9 18.5 5.8 2.398.6 2,303.9 94.7 3.9 2,398.1 2,305.1 93.0 3.9 2,397.2 2,309.0 88.3 3.7 2,396.7 2.305.3 91.5 3.8 2,396.2 2,304.4 91.8 3.8 2,394.5 2,305.7 88.8 3.7 2.395.4 2,299.4 96.0 4.0 1.256.7 1,201.8 54.9 4.4 1,259.0 1,200.2 58.8 4.7 1,262.4 1.202.6 59.8 4.7 1,260.2 1,204.8 55.4 4.4 1.263.1 1,205.9 57.2 4.5 1,259.5 1,208.8 50.6 4.0 1.262.2 1.210.6 51.6 4.1 1,260.0 1,208.0 52.0 4.1 16,726.0 15,898.0 828.0 5.0 16,794.2 15,993.9 800.3 4.8 16,805.4 16,026.8 778.6 4.6 16,820.5 15,987.4 833.1 5.0 16.907.1 16.089.8 817.3 4.8 16,943.1 16,083.6 859.5 5.1 17,034.6 16.139.5 895.1 5.3 16,966.9 16,096.5 870.4 5.1 17.061.7 16,198.3 863.4 5.1 2,292.1 2.227.8 64.3 2.8 2,301.2 2,235.8 65.5 2.8 2,313.5 2.254.3 59.2 2.6 2,312.1 2,247.1 64.9 2.8 2,318.0 2,254.5 63.5 2.7 2.313.4 2.248.2 65.2 2.8 2,309.0 2,258.3 50.8 2.2 2,310.8 2,256.5 54.2 2.3 2,322.0 2,259.7 62.3 2.7 2,309.3 2,245.4 63.9 2.8 1,694.2 1,642.2 52.0 3.1 1.696.0 1,646.6 49.4 2.9 1,697.1 1,649.9 47.2 2.8 1,706.7 1,668.7 38.0 2.2 1.707.8 1,666.0 41.9 2.5 1,707.2 1,667.4 39.8 2.3 1,709.0 1.669.2 39.8 2.3 1,708.8 1,668.2 40.6 2.4 1,704.7 1,665.9 38.8 2.3 1,703.3 1,662.0 41.3 2.4 1,710.8 1,667.7 43.1 2.5 389.0 375.8 13.1 3.4 392.0 378.4 13.6 3.5 394.3 380.6 13.7 3.5 396.7 383.0 13.8 3.5 397.0 384.8 12.2 3.1 397.8 384.0 13.7 3.5 400.6 387.9 12.7 3.2 404.9 390.3 14.6 3.6 406.4 391.6 14.8 3.6 406.5 392.2 14.3 3.5 408.3 392.8 15.4 3.8 409.0 393.1 15.9 3.9 285.0 268.2 16.8 5.9 284.4 267.6 16.8 5.9 284.7 268.2 16.5 5.8 284.9 268.0 16.8 5.9 284.4 267.3 17.1 6.0 279.9 263.2 16.7 6.0 280.8 265.3 15.5 5.5 280.0 263.9 16.1 5.8 281.0 265.5 15.5 5.5 278.6 263.5 15.1 5.4 274.2 262.2 12.0 4.4 274.8 261.1 13.8 5.0 278.4 263.3 15.1 5.4 7.381.2 7.104.5 276.6 3.7 7,406.6 7,127.4 279.1 3.8 7,446.6 7,162.0 284.6 3.8 7,483.6 7.193.4 290.2 3.9 7,508.2 7,221.2 287.1 3.8 7,540.4 7,260.4 280.0 3.7 7,547.8 7,265.2 282.6 3.7 7,564.4 7.280.1 284.3 3.8 7.591.7 7,303.1 288.6 3.8 7.589.0 7,303.4 285.6 3.8 7,581.1 7,285.5 295.7 3.9 7,593.9 7,311.2 282.8 3.7 7,600.4 7,316.9 283.5 3.7 Apr. Alabama Civilian labor force Employed Unemployed Unemployment rate Alaska Civilian labor force Employed Unemployed Unemployment rate Arizona Civilian labor force . . Employed Unemployed Unemployment rate . Arkansas Civilian labor force Employed Unemployed Unemployment rate California Civilian labor force Employed Unemployed Unemployment rate Colorado Civilian labor force Employed Unemployed Unemployment rate Connecticut Civilian labor force Employed. Unemployed Unemployment rate Delaware Civilian labor force Employed Unemployed Unemployment rate District of Columbia Civilian labor force . Employed Unemployed Unemployment rate ... Florida 1 Civilian labor force Employed Unemployed Unemployment rate See footnotes at end of table. 125 STATE LABOR FORCE DATA SEASONALLY ADJUSTED C-2. Labor force status by State, seasonally adjusted — Continued (Numbers in thousands) 1999 2000 State Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. 4,096.8 3.934.1 162.7 4.0 4,104.1 3,944.2 159.9 3.9 4.109.7 3.955.3 154.5 3.8 4,110.2 3,962.2 148.1 3.6 4,118.8 3.970.4 148.3 3.6 4,118.5 3.970.0 148.5 3.6 4.144.7 4,003.0 141.6 3.4 4,145.2 4,003.0 142.2 3.4 4,152.8 4,005.4 147.4 3.6 4,181.0 4,031.0 150.0 3.6 4.162.8 4.012.1 150.7 3.6 4,177.3 4.039.0 138.3 3.3 4,187.2 4.032.7 154.5 3.7 594.5 562.3 32.2 5.4 596.3 564.6 31.7 5.3 597.8 566.0 31.8 5.3 598.9 567.6 31.3 5.2 599.5 568.8 30.7 5.1 602.5 573.0 29.4 4.9 601.3 572.9 28.4 4.7 603.8 575.5 28.3 4.7 603.1 577.4 25.7 4.3 603.5 577.4 26.1 4.3 603.0 579.0 24.0 4.0 597.6 573.5 24.1 4.0 597.8 572.3 25.5 4.3 656.0 622.0 34.0 5.2 656.4 623.8 32.6 5.0 658.6 626.7 31.9 4.8 660.1 629.8 30.3 4.6 662.8 633.6 29.1 4.4 661.9 633.0 28.9 4.4 663.1 633.9 29.2 4.4 667.1 640.1 26.9 4.0 671.2 641.7 29.5 4.4 670.9 642.0 28.9 4.3 668.6 638.9 29.6 4.4 671.4 641.6 29.9 4.5 674.1 643.8 30.3 4.5 6.409.9 6,126.0 283.9 4.4 6,412.9 6,135.4 277.5 4.3 6,413.1 6,138.9 274.2 4.3 6,411.4 6,140.8 270.6 4.2 6,409.8 6,139.5 270.3 4.2 6,420.2 6,158.6 261.6 4.1 6,434.1 6,156.5 277.6 4.3 6.420.4 6,139.2 281.3 4.4 6.454.0 6,178.2 275.8 4.3 6.438.9 6,161.5 277.5 4.3 6,446.9 6,173.7 273.2 4.2 6.430.0 6.151.1 279.0 4.3 6,440.7 6,167.4 273.4 4.2 3.076.7 2,983.8 92.9 3.0 3,074.9 2.982.1 92.8 3.0 3.090.3 2.998.5 91.8 3.0 3,098.1 3,005.7 92.3 3.0 3,104.5 3,014.3 90.3 2.9 3,116.3 3,022.6 93.8 3.0 3.122.5 3.022.7 99.9 3.2 3,109.4 3,008.9 100.4 3.2 3,114.0 3,006.3 107.7 3.5 3.109.5 3.010.8 98.8 3.2 3,094.8 2,985.6 109.2 3.5 3.123.8 3.010.1 113.7 3.6 3.123.6 3,015.9 107.7 3.4 1,576.4 1,536.3 40.1 2.5 1,575.9 1,537.6 38.3 2.4 1,578.1 1,541.4 36.7 2.3 1,578.9 1,544.1 34.8 2.2 1,585.5 1,550.9 34.6 2.2 1,583.9 1,546.4 37.6 2.4 1,586.9 1,551.8 35.1 2.2 1,585.1 1,551.9 33.2 2.1 1,581.6 1.546.6 35.0 2.2 1.578.4 1.542.1 36.3 2.3 1,572.9 1,538.5 34.3 2.2 1,576.2 1,543.0 33.3 2.1 1,577.0 1,542.1 34.9 2.2 1,435.7 1,393.9 41.8 2.9 1,438.6 1,395.3 43.3 3.0 1,442.4 1,398.7 43.7 3.0 1,445.3 1,399.8 45.5 3.1 1,448.4 1,401.4 47.0 3.2 1.451.9 1.407.5 44.4 3.1 1,451.2 1,403.7 47.5 3.3 1,450.6 1,403.8 46.8 3.2 1.450.9 1.402.5 48.4 3.3 1,453.5 1.403.8 49.7 3.4 1,454.2 1,406.4 47.9 3.3 1,452.5 1,402.9 49.6 3.4 1,452.1 1,403.0 49.1 3.4 1,973.8 1,886.7 87.0 4.4 1,975.8 1,889.8 86.0 4.4 1,978.4 1,893.3 85.1 4.3 1,975.8 1,895.3 80.5 4.1 1.972.5 1,895.6 76.9 3.9 1,981.2 1,906.6 74.7 3.8 1,991.5 1,908.6 82.9 4.2 1,990.8 1,913.7 77.1 3.9 1,986.1 1,909.3 76.8 3.9 1.989.9 1,910.2 79.7 4.0 1,985.4 1,909.5 75.9 3.8 1,989.9 1,913.1 76.8 3.9 1,991.0 1,915.8 75.1 3.8 2,050.3 1,949.4 100.9 4.9 2,054.5 1,953.1 101.4 4.9 2,056.8 1,957.3 99.5 4.8 2,056.1 1,963.3 92.9 4.5 2,046.4 1,959.3 87.1 4.3 2,044.1 1,948.6 95.4 4.7 2,041.0 1.943.5 97.5 4.8 2,053.7 1,947.0 106.7 5.2 2,060.3 1,969.8 90.5 4.4 2.063.6 1.961.6 102.0 4.9 2,048.3 1.950.9 97.4 4.8 2,034.7 1,942.9 91.8 4.5 2,031.1 1,934.8 96.3 4.7 673.6 645.9 27.7 4.1 678.3 650.8 27.5 4.1 680.9 654.5 26.4 3.9 683.7 658.3 25.5 3.7 686.9 661.8 25.1 3.7 692.1 667.8 24.3 3.5 695.3 671.8 23.6 3.4 696.1 671.5 24.5 3.5 698.4 675.3 23.1 3.3 700.4 675.8 24.7 3.5 697.4 673.5 23.8 3.4 691.0 667.1 23.9 3.5 689.3 667.0 22.3 3.2 Apr. May June July Aug.P Georgia Civilian labor force Employed Unemployed Unemployment rate Hawaii Civilian labor force Employed Unemployed . Unemployment rate Idaho Civilian labor force Employed . Unemployed Unemployment rate Illinois Civilian labor force Employed Unemployed Unemployment rate Indiana Civilian labor force Employed Unemployed Unemployment ra'.e Iowa Civilian labor force Employed Unemployed Unemployment rate . . Kansas Civilian labor force Employed . Unemployed Unemployment rate Kentucky Civilian labor force Employed Unemployed Unemployment rate Louisiana Civilian labor force Employed Unemployed Unemployment rate Maine Civilian labor force Employed Unemployed Unemployment rate See footnotes at end of table. 126 STATE LABOR FORCE DATA SEASONALLY ADJUSTED C-2. Labor force status by State, seasonally adjusted — Continued (Numbers in thousands) 2000 1999 State Nov. Dec. Jan. Feb. Mar. Aug. Sept. Oct. 2,758.6 2,663.5 95.1 3.4 2,780.4 2,686.4 94.0 3.4 2,794.4 2,700.5 93.9 3.4 2,805.4 2,714.1 91.4 3.3 2,817.8 2,726.6 91.2 3.2 2,828.8 2,742.1 86.7 3.1 2,822.1 2,738.3 83.8 3.0 2,823.3 2,738.1 85.1 3.0 3,281.8 3,175.3 106.5 3.2 3,285.1 3,179.5 105.5 3.2 3,292.2 3,184.7 107.5 3.3 3,293.3 3,186.3 107.1 3.3 3,293.7 3,188.1 105.7 3.2 3,299.7 3,201.0 98.7 3.0 3,304.4 3,201.9 102.5 3.1 5,144.3 4,957.5 186.8 3.6 5,137.4 4,950.3 187.2 3.6 5,130.5 4,940.6 189.9 3.7 5,116.0 4,928.8 187.3 3.7 5,092.3 4,909.7 182.6 3.6 5,101.0 4,937.5 163.4 3.2 2,701.9 2,623.9 78.0 2.9 2,708.8 2,633.5 75.3 2.8 2,717.8 2,645.4 72.4 2.7 2,727.7 2,657.8 69.9 2.6 2,739.0 2,671.8 67.3 2.5 1,269.9 1,206.5 63.4 5.0 1,277.9 1,212.8 65.2 5.1 1,285.4 1,219.4 66.1 5.1 1,291.3 1,226.5 64.8 5.0 2,841.2 2,745.5 95.7 3.4 2,862.0 2,770.5 91.5 3.2 2,881.3 2,796.8 84.5 2.9 473.8 449.4 24.5 5.2 473.7 449.4 24.3 5.1 910.6 884.6 25.9 2.8 May June July Aug.P 2,824.6 2,733.4 91.3 3.2 2,825.8 2,729.0 96.8 3.4 2,818.2 2,725.6 92.5 3.3 2.817.0 2,725.6 91.4 3.2 2,828.6 2,730.5 98.1 3.5 3,273.7 3,195.5 78.1 2.4 3,301.9 3,209.7 92.2 2.8 3,289.5 3,205.2 84.3 2.6 3,287.9 3,201.2 86.7 2.6 3,294.7 3,198.5 96.1 2.9 3,284.4 3,199.4 85.0 2.6 5,070.8 4,932.0 138.8 2.7 5,079.2 4,933.3 145.9 2.9 5,098.4 4,946.2 152.2 3.0 5,097.5 4,931.2 166.4 3.3 5,118.9 4,949.7 169.2 3.3 5,132.6 4,947.6 185.0 3.6 5,116.9 4,920.7 196.1 3.8 2,747.0 2,677.5 69.5 2.5 2,748.7 2,677.0 71.7 2.6 2,755.1 2,680.0 75.1 2.7 2,761.2 2,689.0 72.3 2.6 2,766.4 2,682.0 84.4 3.1 2,753.3 2,689.0 64.3 2.3 2,762.5 2,693.3 69.2 2.5 2,773.3 2,694.8 78.5 2.8 1,300.0 1,233.7 66.3 5.1 1,305.3 1,238.3 67.0 5.1 1,313.6 1,240.2 73.4 5.6 1,313.6 1,240.9 72.8 5.5 1,318.2 1,245.7 72.5 5.5 1,322.1 1,245.7 76.4 5.8 1,327.3 1,246.6 80.7 6.1 1,326.0 1,251.4 74.6 5.6 1,311.5 1,246.8 64.7 4.9 2,895.5 2.811.5 84.0 2.9 2,916.0 2,832.9 83.1 2.8 2.918.9 2,851.1 67.8 2.3 2,916.2 2,840.6 75.6 2.6 2,931.5 2,846.0 85.5 2.9 2,916.2 2,844.7 71.5 2.5 2,925.1 2,842.3 82.9 2.8 2,929.8 2,854.6 75.2 2.6 2,928.2 2,857.5 70.7 2.4 2,935.8 2,859.5 76.3 2.6 475.7 451.8 23.8 5.0 476.5 453.2 23.3 4.9 477.4 454.4 23.0 4.8 478.4 455.0 23.4 4.9 477.9 454.9 23.0 4.8 480.5 457.6 22.9 4.8 480.5 456.9 23.6 4.9 481.8 458.0 23.8 4.9 482.6 459.6 23.0 4.8 481.0 456.5 24.5 5.1 481.1 456.7 24.3 5.1 915.9 890.3 25.6 2.8 922.0 896.6 25.4 2.8 929.2 904.2 25.0 2.7 937.4 913.1 24.3 2.6 937.5 915.3 22.2 2.4 942.5 917.5 25.0 2.7 941.0 918.1 22.9 2.4 944.3 916.9 27.4 2.9 942.8 916.6 26.2 2.8 943.4 916.1 27.3 2.9 940.6 914.5 26.1 2.8 939.3 914.3 25.0 2.7 945.7 901.6 44.1 4.7 949.5 905.8 43.7 4.6 954.9 912.2 42.7 4.5 958.6 917.2 41.4 4.3 963.8 924.3 39.5 4.1 961.6 922.6 38.9 4.1 964.9 929.3 35.5 3.7 965.6 929.3 36.3 3.8 973.9 937.0 37.0 3.8 978.3 944.9 33.5 3.4 982.7 948.5 34.2 3.5 985.5 950.9 34.6 3.5 990.9 953.8 37.1 3.7 666.8 649.5 17.3 2.6 668.5 651.7 16.9 2.5 672.1 655.0 17.1 2.5 674.8 658.0 16.8 2.5 677.3 661.1 16.2 2.4 681.7 664.1 17.7 2.6 683.4 665.9 17.5 2.6 679.0 664.4 14.6 2.2 680.6 663.9 16.7 2.5 681.8 663.4 18.4 2.7 684.6 665.1 19.5 2.8 686.4 665.4 21.0 3.1 684.4 664.6 19.8 2.9 Apr. Maryland Civilian labor force Employed Unemployed Unemployment rate Massachusetts Civilian labor force Employed Unemployed Unemployment rate Michigan2 Civilian labor force Employed Unemployed Unemployment rate Minnesota Civilian labor force Employed Unemployed Unemployment rate Mississippi Civilian labor force Employed Unemployed Unemployment rate Missouri Civilian labor force Employed Unemployed Unemployment rate . Montana Civilian labor force Employed Unemployed Unemployment rate Nebraska Civilian labor force Employed Unemployed Unemployment rate Nevada Civilian labor force Employed Unemployed Unemployment rate New Hampshire Civilian labor force Employed Unemployed Unemployment rate See footnotes at end of table. 127 STATE LABOR FORCE DATA SEASONALLY ADJUSTED C-2. Labor force status by State, seasonally adjusted — Continued (Numbers in thousands) 1999 2000 State Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. 4,220.2 4,022.2 198.0 4.7 4,218.1 4,023.3 194.8 4.6 4,229.8 4,039.4 190.4 4.5 4,233.5 4.048.6 184.9 4.4 4,236.4 4,056.9 179.5 4.2 4,223.7 4,057.1 166.6 3.9 4,233.9 4,060.0 173.9 4.1 4.225.3 4,068.5 156.8 3.7 4,246.1 4,083.6 162.5 3.8 807.2 762.6 44.6 5.5 812.2 766.8 45.4 5.6 816.8 770.8 46.0 5.6 824.2 777.2 47.0 5.7 831.9 783.6 48.3 5.8 833.2 788.7 44.4 5.3 835.2 789.4 45.8 5.5 835.7 791.1 44.6 5.3 8,885.3 8,424.9 460.4 5.2 8.891.8 8.429.5 462.3 5.2 8,906.9 8,455.3 451.7 5.1 8,918.7 8,477.3 441.4 4.9 8,929.7 8,497.5 432.2 4.8 8,971.9 8,534.0 437.9 4.9 8,962.5 8.542.0 420.6 4.7 3,888.6 3,764.5 124.1 3.2 3,891.0 3,766.0 125.1 3.2 3.901.4 3,774.9 126.6 3.2 3,904.9 3.779.1 125.8 3.2 3,905.1 3,781.2 124.0 3.2 3,914.0 3,788.3 125.7 3.2 Civilian labor force Employed Unemployed Unemployment rate 335.1 324.1 11.0 3.3 336.3 325.4 10.9 3.2 337.2 326.3 10.9 3.2 338.3 328.1 10.2 3.0 339.3 329.6 9.7 2.9 Civilian labor force Employed Unemployed Unemployment rate 5,761.9 5,509 7 252.2 4.4 5.786.0 5,536.5 249.6 4.3 5,803.0 5,559.1 243.9 4.2 5,825.1 5,587.4 237.6 4.1 1.651.2 1,597.8 53.4 3.2 1,652.6 1,599.7 52.9 3.2 1,655.2 1,602.5 52.7 3.2 1,753.5 1,651.8 101.7 5.8 1,746.6 1.647.4 99.3 5.7 5,979.8 5.712.0 267.7 4.5 June July Aug.P 4,240.2 4,078.2 162.0 3.8 4,225.6 4,080.0 145.7 3.4 4,224.6 4,067.4 157.2 3.7 4,243.0 4,074.7 168.3 4.0 837.0 791.7 45.3 5.4 838.6 792.0 46.6 5.6 836.0 790.1 45.9 5.5 840.1 794.4 45.7 5.4 841.9 796.2 45.7 5.4 8,979.5 8,570.6 408.9 4.6 9,024.8 8,606.9 417.9 4.6 9,029.8 8,618.3 411.6 4.6 9,011.2 8,607.7 403.5 4.5 8,959.6 8,579.6 379.9 4.2 8,978.6 8,573.1 405.5 4.5 3,930.1 3,797.8 132.3 3.4 3,953.5 3,820.3 133.2 3.4 3,932.5 3,813.3 119.2 3.0 3,927.5 3,798.7 128.7 3.3 3,941.0 3,805.3 135.7 3.4 3,921.3 3,794.7 126.5 3.2 3,948.8 3,812.1 136.7 3.5 340.9 330.0 10.9 3.2 341.5 330.9 10.5 3.1 341.3 331.5 9.7 2.9 339.8 330.3 9.4 2.8 338.0 329.7 8.3 2.4 338.5 329.6 8.9 2.6 338.0 329.2 8.8 2.6 338.6 328.9 9.7 2.9 5,855.1 5,617.5 237.6 4.1 5,869.1 5,634.9 234.2 4.0 5,886.4 5,631.3 255.1 4.3 5,875.6 5,632.7 242.9 4.1 5,872.7 5,646.4 226.3 3.9 5,868.4 5,633.7 234.7 4.0 5,872.1 5,628.3 243.9 4.2 5,878.5 5,633.6 244.9 4.2 5.864.8 5,619.0 245.8 4.2 1,656.6 1.603.5 53.1 3.2 1,658.4 1,604.3 54.1 3.3 1,653.7 1,608.0 45.7 2.8 1,653.2 1,605.3 47.9 2.9 1,651.1 1.599.3 51.8 3.1 1,653.2 1,606.0 47.3 2.9 1,648.1 1,601.5 46.6 2.8 1,646.4 1,596.3 50.1 3.0 1,652.1 1,602.1 50.0 3.0 1,658.9 1,606.1 52.8 3.2 1,767.1 1,670.8 96.2 5.4 1.788.3 1,695.6 92.7 5.2 1,800.7 1,710.6 90.2 5.0 1,802.2 1,717.5 84.8 4.7 1.813.8 1,725.2 88.6 4.9 1,817.7 1,732.7 84.9 4.7 1,827.7 1,743.6 84.1 4.6 1,823.4 1.731.6 91.8 5.0 1,812.2 1,722.6 89.6 4.9 1,815.7 1,725.6 90.1 5.0 1,832.8 1.736.0 96.8 5.3 5.973.0 5.711.8 261.2 4.4 5,973.8 5,716.3 257.5 4.3 5.971.3 5,717.9 253.4 4.2 5,969.1 5,719.6 249.5 4.2 5,994.2 5,755.0 239.2 4.0 5,987.9 5,737.3 250.6 4.2 5,959.1 5,725.6 233.4 3.9 5,959.1 5,732.6 226.6 3.8 5.960.1 5,717.2 242.9 4.1 5,965.0 5,717.6 247.4 4.1 5,957.1 5,718.1 239.1 4.0 5,952.6 5,714.8 237.8 4.0 506 4 485.1 21.3 4.2 505.1 484.5 20.6 4.1 505.8 485.6 20.2 4.0 507.1 487.3 19.8 3.9 507.1 487.8 19.3 3.8 504.9 485.6 19.2 3.8 502.0 483.0 18.9 3.8 505.4 486.4 19.0 3.8 513.8 494.6 19.2 3.7 504.9 484.6 20.4 4.0 506.3 486.3 20.0 3.9 509.0 488.8 20.1 4.0 508.8 486.1 22.8 4.5 1,960.0 1.872.5 87.5 4.5 1,965.5 1,875.5 90.1 4.6 1,974.1 1,883.1 91.0 4.6 1,980.8 1.890.8 90.0 4.5 1,989.8 1,902.5 87.4 4.4 1,986.0 1,900.3 85.7 4.3 1,984.0 1,902.8 81.3 4.1 1,984.7 1,911.2 73.5 3.7 1,983.6 1,914.7 69.0 3.5 2,004.3 1,923.4 80.9 4.0 2,004.6 1,927.8 76.7 3.8 2,007.1 1,927.3 79.8 4.0 2,011.5 1,927.7 83.8 4.2 Apr. May New Jersey Civilian labor force Employed Unemployed Unemployment rate 4 New Mexico Civilian labor force Employed . Unemployed Unemployment rate New York Civilian labor force Employed Unemployed Unemployment rate North Carolina Civilian labor force Employed Unemployed Unemployment rate North Dakota Oklahoma Civilian labor force Employed Unemployed Unemployment rate Oregon Civilian labor force Employed Unemployed Unemployment rate Pennsylvania Civilian labor force . . . . Employed Unemployed U n e m p l o y m e n t rate Rhode Island Civilian labor force Employed Unemployed . . . Unemployment rate South Carolina Civilian labor force Employed Unemployed Unemployment rate See footnotes at end of table. 128 STATE LABOR FORCE DATA SEASONALLY ADJUSTED C-2. Labor force status by State, seasonally adjusted — Continued (Numbers in thousands) 2000 1999 State Aug. Sept. Oct. Nov. Jan. Dec. Feb. Mar. Apr. May June July Aug.P South Dakota Civilian labor force Employed Unemployed Unemployment rate .. . 399.7 388.0 11.7 2.9 399.8 388.6 11.2 2.8 401.2 390.1 11.1 2.8 401.4 390.9 10.5 2.6 402.0 392.0 10.0 2.5 402.2 392.6 9.6 2.4 403.3 393.8 9.5 2.4 403.9 395.2 8.6 2.1 403.8 394.3 9.4 2.3 402.7 392.3 10.3 2.6 401.9 392.1 9.8 2.4 401.8 392.6 9.2 2.3 401.4 392.6 8.8 2.2 2,824.2 2,711.0 113.2 4.0 2,821.8 2,711.4 110.4 3.9 2,826.2 2,716.7 109.5 3.9 2,822.6 2,715.8 106.8 3.8 2,818.2 2,715.3 102.9 3.7 2,829.4 2,730.8 98.5 3.5 2,829.0 2,731.3 97.7 3.5 2,841.4 2,741.7 99.7 3.5 2,837.8 2,732.5 105.3 3.7 2,835.9 2,734.1 101.8 3.6 2,839.7 2.735.7 104.0 3.7 2,845.4 2,742.0 103.4 3.6 2.837.5 2.734.5 103.0 3.6 10,201.0 9,736.5 464.5 4.6 10.233.1 9,764.1 469.0 4.6 10,262.7 9,791.6 471.1 4.6 10,294.6 9.822.8 471.8 4.6 10,331.2 9,857.2 474.0 4.6 10,372.5 9,922.9 449.5 4.3 10,401.3 9,936.5 464.8 4.5 10,397.2 9.919.3 477.9 4.6 10.393.4 9,927.4 466.0 4.5 10.409.2 9,947.4 461.8 4.4 10.378.9 9,920.2 458.6 4.4 10,360.9 9,932.6 428.3 4.1 10,378.4 9,930.9 447.5 4.3 1,085.7 1,045.9 39.8 3.7 1,088.7 1,050.4 38.3 3.5 1,091.8 1,055.4 36.3 3.3 1,094.4 1,060.5 33.9 3.1 1,098.2 1,065.7 32.6 3.0 1,102.5 1,071.6 30.9 2.8 1,106.6 1,072.9 33.6 3.0 1,107.0 1,075.4 31.6 2.9 1,106.9 1,076.7 30.2 2.7 1,108.3 1,075.8 32.5 2.9 1,109.3 1,076.5 32.8 3.0 1,113.1 1.079.8 33.3 3.0 1.114.4 1,080.3 34.1 3.1 336.7 326.5 10.1 3.0 336.4 326.2 10.2 3.0 337.3 327.4 9.9 2.9 338.3 329.0 9.4 2.8 339.3 330.1 9.3 2.7 341.3 332.0 9.3 2.7 339.9 330.3 9.5 2.8 340.3 332.2 8.1 2.4 339.5 331.3 8.2 2.4 339.9 331.3 8.6 2.5 340.0 331.1 8.9 2.6 341.5 332.3 9.2 2.7 342.0 332.9 9.1 2.7 3,523.9 3,424.1 99.8 2.8 3.545.6 3.444.5 101.1 2.9 3,568.4 3,467.5 100.8 2.8 3,593.7 3.492.7 101.0 2.8 3,620.6 3,520.4 100.2 2.8 3,628.5 3,535.4 93.0 2.6 3,642.4 3,544.4 98.0 2.7 3,650.2 3,551.0 99.2 2.7 3,656.3 3,558.4 97.9 2.7 3,646.7 3,554.4 92.3 2.5 3,638.5 3,548.2 90.3 2.5 3.641.6 3,549.4 92.2 2.5 3,641.1 3,550.1 91.0 2.5 3,081.5 2,936.2 145.4 4.7 3.076.6 2,933.9 142.7 4.6 3,075.1 2,937.6 137.5 4.5 3,071.9 2,940.1 131.8 4.3 3.070.0 2,938.5 131.4 4.3 3,075.6 2,936.2 139.4 4.5 3,081.1 2,935.4 145.8 4.7 3,090.5 2,951.4 139.1 4.5 3,080.5 2,938.4 142.2 4.6 3,083.4 2,939.0 144.4 4.7 3,102.2 2,955.7 146.5 4.7 3,080.4 2,930.5 149.9 4.9 3,065.4 2,908.7 156.7 5.1 819.7 765.4 54.3 6.6 818.0 763.9 54.1 6.6 816.6 763.5 53.1 6.5 813.2 761.9 51.3 6.3 809.8 760.2 49.6 6.1 808.3 763.2 45.1 5.6 811.2 765.3 45.9 5.7 808.6 767.2 41.3 5.1 807.9 766.9 40.9 5.1 817.9 771.9 46.0 5.6 808.5 761.3 47.2 5.8 806.5 763.0 43.5 5.4 805.5 763.7 41.8 5.2 2,879.9 2,795.5 84.4 2.9 2,894.8 2,811.5 83.3 2.9 2,923.7 2,837.5 86.1 2.9 2,953.9 2,866.0 87.9 3.0 2,987.2 2,896.5 88.6 3.0 3,000.0 2,917.2 82.8 2.8 3,002.5 2,917.4 85.0 2.8 3,007.2 2,915.4 91.8 3.1 3,015.5 2,913.8 101.6 3.4 3.016.1 2.915.4 100.7 3.3 3,027.2 2,914.9 112.3 3.7 3,027.4 2,916.7 110.7 3.7 3,029.0 2,922.7 106.4 3.5 261.8 249.1 12.7 4.8 262.4 249.9 12.5 4.8 262.7 250.3 12.4 4.7 262.8 251.0 11.8 4.5 262.6 251.0 11.6 4.4 262.2 251.4 10.7 4.1 262.0 251.1 10.9 4.2 261.6 251.2 10.4 4.0 262.2 251.7 10.5 4.0 261.7 251.7 10.1 3.8 262.3 252.4 9.9 3.8 264.5 253.8 10.7 4.0 264.0 252.7 11.3 4.3 1,292.8 1,139.9 152.9 11.8 1,289.3 1,139.3 150.0 11.6 1,292.7 1,138.1 154.6 12.0 1,286.0 1,132.1 153.8 12.0 1,296.2 1,146.9 149.3 11.5 1,305.9 1,159.2 146.7 11.2 1,307.3 1,172.5 134.8 10.3 1,321.0 1,183.5 137.5 10.4 1,307.9 1,171.5 136.4 10.4 1,343.3 1,203.1 140.2 10.4 1,304.3 1,177.4 126.9 9.7 1,313.3 1,186.1 127.2 9.7 1,307.3 1,163.5 143.7 11.0 Tennessee Civilian labor force Employed Unemployed Unemployment rate Texas Civilian labor force Employed Unemployed Unemployment rate 1 Itah uian Civilian labor force Employed Unemployed Unemployment rate Vermont Civilian labor force Employed Unemployed Unemployment rate Virginia Civilian labor force Employed Unemployed Unemployment rate Washington Civilian <aix»r force Employed Unemployed Unemployment rate West Virginia Civilian labor force Employed Unemployed Unemployment rate Wisconsin Civilian labor force Employed Unemployed Unemployment rate Wyoming Civilian labor force Employed UnemDloved Unemployment rate Puerto Rico Civilian labor force Employed UnemDloved Unemployment rate P s preliminary. 1 June 2000 LAUS estimates for Florida have been corrected. LAUS estimates for Michigan are subject to revision when Current Employment Statistics data for Michigan are corrected. NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. All estimates are provisional and will be revised when new benchmark and population information becomes available. 2 129 STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED C-3. Labor force status by State and metropolitan area (Numbers in thousands) Unemployed Civilian labor force Number Percent of labor force State and area August July Alabama Anniston Auburn-Opelika Birmingham Decatur Dothan Florence Gadsden Huntsville Mobile Montgomery Tuscaloosa August July 1999 2000 1999 2000P 1999 2,152.6 54.4 2,197.3 55.3 2.146.6 2,194.3 54.1 48.7 471.8 73.7 66.8 67.0 49.7 54.9 49.6 492.8 75.3 2000 1999 August July 2000P 96.1 2.6 1.9 14.0 3.3 3.3 3.6 2.2 7.0 11.8 5.6 2.4 111.6 2.8 2.0 69.8 67.6 50.0 175.6 276.7 170.0 85.4 110.2 2.7 1.9 14.9 3.8 2.7 4.8 4.0 8.4 13.1 6.3 2.8 14.0 7.1 2.8 105.3 2.8 1.9 16.1 3.2 3.8 3.9 3.0 5.1 13.2 7.4 2.8 1999 2000 1999 2000P 5.1 4.9 3.8 3.2 5.1 4.1 7.2 8.1 4.8 4.8 3.8 3.4 4.4 4.7 3.7 2.8 4.3 4.8 5.3 4.4 4.0 4.2 3.3 2.9 5.2 5.2 4.2 3.4 4.7 4.5 7.4 7.5 3.2 5.2 4.2 3.4 4.8 5.1 3.7 3.3 4.3 5.4 5.8 6.0 2.9 4.8 4.3 3.3 49.4 69.4 67.4 49.9 173.6 272.4 165.1 82.9 177.6 276.5 169.7 84.7 48.8 471.5 72.8 66.8 66.9 49.3 172.0 271.0 165.9 83.6 326.7 141.2 332.2 143.4 322.3 139.2 327.8 142.2 18.0 6.0 15.5 5.2 15.3 5.1 14.2 4.9 5.5 4.2 4.7 3.6 4.7 3.7 4.3 3.4 Arizona Flagstaff Phoenix-Mesa Tucson Yuma 2,389.8 63.9 1,586.0 386.1 73.4 2,410.8 66.4 1,602.3 2,395.8 62.3 1,588.6 387.5 76.4 2,414.6 64.8 1,601.0 124.0 394.0 74.8 15.1 29.0 105.1 4.3 43.7 11.2 26.7 123.6 4.1 52.0 14.1 31.6 113.0 4.3 46.1 11.6 30.5 5.2 7.7 3.3 3.9 39.6 4.4 6.5 2.7 2.8 37.9 5.2 6.5 3.3 3.6 41.3 4.7 6.6 2.9 3.0 40.7 Arkansas Fayetteville-Springdale-Rogers Fort Smith Jonesboro Little Rock-North Little Rock Pine Bluff 1,244.3 146.5 99.4 42.6 304.3 36.6 1,285.5 156.4 101.1 1,233.5 145.8 98.9 42.5 302.2 36.2 1,269.6 155.3 99.9 44.6 310.5 36.9 61.1 4.0 3.7 1.5 10.8 3.0 58.3 3.5 3.6 1.7 11.4 2.7 52.6 3.5 3.2 1.4 9.7 2.8 51.0 3.3 3.2 1.6 10.1 2.5 4.9 2.7 3.7 3.6 3.6 8.3 4.5 2.2 3.5 3.9 3.6 7.3 4.3 2.4 3.2 3.3 3.2 7.6 4.0 2.1 3.2 3.7 3.2 6.7 17,166.9 16,772.4 17,225.7 285.2 289.7 446.8 4,712.8 86.8 212.8 1,221.3 1,482.1 73.4 1,449.8 283.4 856.3 28.5 5.6 54.7 271.4 5.5 11.4 7.4 12.3 298.2 10.5 22.2 45.3 44.6 4.8 87.5 35.1 12.1 22.6 42.7 46.6 5.3 99.7 823.0 25.4 5.2 44.3 281.7 8.2 16.8 40.2 40.3 4.2 9.6 12.2 10.6 3.7 3.0 6.7 6.0 4.4 5.5 11.4 8.0 14.1 6.0 13.7 10.2 3.4 3.1 5.0 9.8 6.4 459.0 924.8 32.8 6.3 55.1 946.6 288.5 88.2 11.9 5.7 10.9 7.9 3.1 2.7 6.0 6.0 4.0 5.9 3.3 2.4 2.0 3.1 3.3 3.5 2.8 7.4 3.8 5.7 13.4 3.4 8.5 Alaska Anchorage California Bakersfield Chico-Paradise Fresno Los Angeles-Long Beach Merced Modesto Oakland Orange County Redding Riverside-San Bernardino Sacramento Salinas San Diego San Francisco San Jose San Luis Obispo-Atascadero-Paso Robles Santa Barbara-Santa Maria-Lompoc Santa Cruz-Watsonville Santa Rosa Stockton-Lodi Vallejo-Fairfield-Napa Ventura Visalia-Tulare-Porterville Yolo YubaCity 16,805.2 286.7 85.9 448.8 494.1 75.3 394.0 70.5 44.5 313.9 37.2 4,716.3 86.0 209.7 4,751.9 1,223.6 1,238.8 1,527.2 77.1 1,534.6 821.1 203.7 1,401.9 1,485.0 72.6 1,465.6 797.2 197.2 1,370.5 967.2 87.9 222.1 986.7 987.2 86.2 799.1 195.2 1,364.6 966.1 971.6 109.7 201.2 141.5 976.5 108.4 200.5 141.6 250.0 257.4 257.5 402.1 173.2 114.3 207.1 141.3 258.7 264.1 272.8 412.4 171.7 90.7 58.5 95.1 61.3 91.9 Colorado Boulder-Longmont Colorado Springs Denver Fort Collins-Loveland Grand Junction Greeley Pueblo 2,297.3 2,354.4 180.4 60.1 86.8 61.1 268.6 1,191.6 144.1 60.7 88.8 60.4 Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury 1,733.5 217.8 109.8 585.0 276.7 157.7 199.5 117.5 1,747.3 220.2 111.4 586.4 279.6 159.3 202.3 118.5 1,712.7 215.0 108.2 578.9 273.0 155.8 196.9 116.8 393.0 67.6 294.0 414.1 72.6 307.8 391.2 67.2 291.5 Delaware Dover Wilmington-Newark 176.8 263.6 1,154.8 142.9 252.1 261.6 258.5 397.9 169.4 88.0 459.0 4,780.1 88.5 223.9 1,244.9 1,530.8 77.8 1,521.1 825.1 202.7 1,401.7 995.4 987.5 115.5 207.8 140.8 262.4 270.0 12.0 46.8 26.9 32.0 3.9 6.7 6.7 7.2 23.0 38.3 13.8 51.6 25.8 22.4 3.8 7.0 6.2 8.1 24.0 12.0 17.7 38.6 42.0 4.7 79.8 90.5 30.8 10.6 42.2 24.3 28.2 3.4 6.6 33.1 11.9 46.6 23.9 19.3 3.6 2.9 8.9 4.4 5.6 6.0 16.5 4.0 11.3 15.8 4.0 11.5 6.3 6.9 6.5 4.7 6.1 3.4 6.8 3.7 2.8 3.3 3.6 3.4 4.7 2.6 2.3 3.4 3.4 4.4 3.1 9.1 4.4 24.9 27.1 3.8 7.1 4.9 59.2 27.9 4.1 2.2 3.2 2.9 63.9 4.7 9.0 26.9 4.3 2.1 3.0 2.6 63.2 4.7 8.3 27.2 4.0 2.0 3.0 2.7 62.7 4.4 8.5 27.1 4.2 2.1 2.9 2.6 2.9 2.8 3.4 2.4 2.9 3.6 3.7 4.7 2.7 2.6 3.3 2.3 3.0 3.5 3.4 4.3 2.8 2.6 3.1 2.3 2.8 3.3 3.6 4.5 2.7 2.4 3.2 2.3 2.9 3.6 3.3 4.3 1,733.9 218.3 110.5 583.1 275.9 157.8 200.7 118.0 55.3 8.7 2.7 19.3 8.9 5.1 4.1 4.4 43.8 6.7 2.0 15.5 7.4 3.7 2.9 3.7 43.9 6.9 2.0 15.4 7.1 4.2 3.2 3.4 36.2 5.6 1.6 12.9 6.3 3.3 2.4 2.9 3.2 4.0 2.5 3.3 3.2 3.3 2.0 3.8 2.5 3.1 1.8 2.6 2.7 2.3 1.4 3.1 2.6 3.2 1.9 2.7 2.6 2.7 1.6 2.9 2.1 2.5 1.5 2.2 2.3 2.1 1.2 2.5 412.7 72.5 305.4 13.9 2.5 12.4 15.8 3.0 12.6 13.6 2.8 10.2 16.4 3.2 12.7 3.5 3.7 4.2 3.8 4.2 4.1 3.5 4.2 3.5 4.0 4.5 4.1 273.9 11.2 22.4 28.5 59.4 97.0 63.0 3.6 6.6 2,297.5 2,339.6 66.4 5.0 9.0 59.7 85.7 60.5 64.7 4.9 8.9 6.0 9.9 6.0 9.4 7.9 3.3 2.7 5.7 5.5 3.8 5.4 3.1 2.5 2.9 3.1 3.3 4.2 2.6 6.8 3.9 5.3 13.1 3.2 8.2 17.7 10.1 21.1 22.2 3.0 410.7 172.0 176.4 263.8 1,160.7 143.9 32.8 7.0 6.8 5.0 7.3 19.9 10.4 23.6 23.1 3.3 5.4 181.5 266.9 1,192.7 143.0 59.9 86.7 See footnotes at end of table. 4.9 52.3 16.2 3.4 3.0 5.0 3.7 5.5 130 5.9 6.5 STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED C-3. Labor force status by State and metropolitan area—Continued (Numbers in thousands) Unemployed Civilian laoor force Number Percent of labor force State and area August July August July 1999 2000 1999 1999 2000 1999 2000P 15.2 62.9 6.5 2.6 5.6 2.3 6.0 2.6 5.4 2.3 289.1 5.4 29.5 4.5 12.2 2.5 2.1 15.7 12.6 7.6 58.2 5.3 3.2 23.7 3.2 6.3 1.3 6.0 3.8 32.0 28.7 296.8 5.8 30.9 5.2 11.5 2.4 1.9 18.7 13.9 7.1 57.1 5.8 3.9 24.7 3.0 6.2 1.4 6.5 4.0 33.8 28.7 3.9 2.8 3.8 2.5 9.2 3.0 2.1 2.9 6.3 3.5 5.5 5.1 3.4 2.7 4.7 3.6 3.2 2.2 2.7 2.6 5.5 3.9 2.9 3.9 2.8 8.2 2.9 1.9 3.4 6.5 3.3 5.3 5.1 3.9 2.7 4.6 4.1 3.0 2.3 2.7 2.7 5.3 3.9 2.8 3.8 2.5 9.6 3.0 2.0 2.9 6.2 3.7 5.5 5.7 3.3 2.6 4.7 3.6 2.8 2.2 2.5 2.6 5.6 3.9 2.9 3.9 2.8 8.8 2.7 1.7 3.3 6.7 3.2 5.3 5.9 3.9 2.6 4.4 3.5 2.9 2.2 2.6 2.7 5.5 158.1 3.8 2.0 71.1 11.0 5.9 6.3 5.5 166.7 4.3 2.1 70.2 11.6 7.3 7.2 6.0 158.1 3.7 1.8 70.2 10.4 6.2 6.3 5.5 4.4 7.9 3.1 3.5 6.1 5.4 5.2 4.9 3.8 6.7 2.7 3.1 5.1 4.5 4.1 4.0 4.1 7.7 2.9 3.2 5.5 5.7 4.7 4.4 3.8 6.6 2.5 3.1 4.9 4.7 4.1 4.0 34.9 21.5 26.2 15.7 34.1 20.9 27.1 16.6 5.8 5.1 4.3 3.7 5.7 5.0 4.5 3.9 681.3 243.6 41.5 30.9 6.6 2.0 26.4 7.4 1.7 31.0 7.7 2.0 27.4 7.0 1.7 4.6 3.6 5.0 3.9 3.0 4.1 4.7 3.3 5.2 4.0 2.9 4.2 6,451.7 91.2 97.0 4,310.9 194.3 62.1 52.8 190.3 203.9 114.0 6,481.0 91.6 98.3 4,327.5 192.7 62.2 53.1 189.2 204.8 113.6 295.2 2.1 2.9 183.2 9.6 3.2 2.9 10.3 12.3 4.0 289.0 2.3 2.8 185.9 6.5 3.1 2.5 286.4 2.0 2.6 184.5 9.1 3.6 2.8 4.5 2.3 3.0 4.2 4.9 5.2 5.3 4.4 2.5 2.8 4.3 3.3 5.0 4.6 5.3 3.9 6.0 3.7 4.4 3.7 4.4 2.2 2.7 4.3 4.7 5.7 5.3 4.0 4.3 3.6 4.3 2.4 2.5 4.0 3.4 4.9 4.5 3.7 6.2 3.3 3,166.8 58.6 100.4 164.1 269.2 304.3 860.4 53.2 89.6 59.9 136.3 69.9 3.082.9 58.2 98.0 159.2 260.3 295.7 837.4 50.8 86.5 58.7 134.1 66.7 3.127.4 57.6 99.5 160.9 264.6 300.2 848.2 52.3 87.7 58.4 134.7 68.7 1,593.6 112.7 255.4 49.0 65.8 64.3 66.0 1,581.1 112.9 256.6 48.5 66.0 64.1 65.8 1.581.0 112.8 254.2 48.9 65.8 63.9 66.0 1999 2000 1999 2000P District of Columbia . Washington 294.4 2,665.5 285.3 2,750.2 288.6 2,641.8 281.8 2,724.4 19.2 70.6 16.0 62.5 17.3 68.0 Florida Daytona Beach Fort Lauderdale Fort Myers-Cape Coral Fort Pierce-Port St. Lucie Fort Walton Beach Gainesville Jacksonville Lakeland-Winter Haven Melboume-Titusville-Palm Bay Miami Naples Ocala Orlando Panama City Pensacola Punta Gorda Sarasota-Bradenton Tallahassee Tampa-St. Petersburg-Clearwater.... West Palm Beach-Boca Raton 7,447.8 194.1 777.5 180.9 127.1 85.0 105.8 549.0 202.5 208.5 1,056.7 92.9 98.2 898.9 68.8 175.2 46.8 277.8 151.0 1,214.4 506.3 7,682.3 197.7 799.0 186.2 130.2 87.7 108.3 568.3 208.0 216.5 1,074.1 97.9 102.4 939.4 69.4 181.8 48.0 292.5 153.1 1,264.4 523.1 7,439.5 193.0 776.8 180.2 127.2 84.5 106.1 548.1 202.2 209.1 1,056.7 93.2 98.2 897.1 67.8 175.2 46.4 277.4 150.4 1,213.4 507.9 7,657.6 196.4 796.4 185.2 130.2 86.6 108.5 565.6 207.5 217.0 1,072.4 98.2 101.8 936.4 68.0 180.0 47.5 291.1 152.2 1,262.6 522.7 289.3 5.4 29.3 4.6 11.7 2.5 2.2 16.2 12.7 7.4 58.5 4.8 3.3 24.0 3.2 6.4 1.5 6.2 4.0 31.9 28.0 298.0 5.7 30.8 5.1 10.7 2.5 2.0 19.3 13.5 7.1 57.2 5.0 4.0 25.7 3.2 7.5 1.5 6.7 4.2 34.2 27.8 Georgia Albany Athens Atlanta Augusta-Aiken Columbus Macon Savannah 4,108.0 57.4 71.3 2,219.4 212.1 127.6 152.7 136.3 4,193.0 57.1 72.5 2,304.2 215.0 131.8 155.6 137.6 4,082.5 56.5 72.3 2.215.0 209.5 127.6 151.9 136.0 4,170.6 56.4 73.7 2,288.9 213.0 130.7 155.0 137.1 181.6 4.5 2.2 76.7 13.0 6.8 7.9 6.7 Hawaii Honolulu . 600.0 424.4 603.7 426.2 597.1 422.2 600.0 423.3 Idaho Boise City . Pocatello... 665.4 235.0 38.9 682.0 245.7 40.3 663.4 232.0 39.2 Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island .... Decatur Kankakee Peoria-Pekin Rockford Springfield 6,526.8 92.1 98.2 4,361.8 196.1 62.5 54.1 194.6 206.5 110.1 6,532.4 91.5 99.3 4,370.9 193.3 62.8 53.3 190.3 205.1 109.6 Indiana Bloomington Elkhart-Goshen Evansville-Henderson. Fort Wayne Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute 3,116.5 58.2 99.5 160.6 266.2 301.3 846.8 51.3 87.9 59.8 136.0 68.2 Iowa Cedar Rapids Des Moines Dubuque Iowa City Sioux City Waterloo-Cedar Falls. 1,592.2 113.5 258.2 48.4 65.9 64.5 67.7 See footnotes at end of table. August July 131 2000P 7.4 7.6 9.1 4.1 8.8 4.2 276.6 2.2 2.4 174.6 6.6 3.0 2.4 7.0 12.7 3.8 91.3 1.3 2.3 4.7 8.5 10.6 19.4 1.1 1.7 1.9 4.5 2.6 115.7 1.4 3.7 6.6 10.8 13.5 24.0 1.9 2.3 2.1 5.5 3.5 88.5 1.3 2.1 4.9 6.7 11.2 19.7 1.1 1.8 1.8 4.3 2.8 104.0 1.5 3.6 5.5 8.7 13.0 22.0 1.7 1.9 1.8 4.8 3.3 2.9 2.2 2.3 2.9 3.2 3.5 2.3 2.2 2.0 3.2 3.3 3.8 3.7 2.4 3.7 4.0 4.0 4.4 2.8 3.6 2.5 3.4 4.1 5.0 2.9 2.3 2.1 3.1 2.6 3.8 2.4 2.2 2.0 3.1 3.2 4.2 3.3 2.6 3.6 3.4 3.3 4.3 2.6 3.2 2.2 3.0 3.5 4.8 35.5 1.7 3.9 1.1 1.5 1.5 3.4 29.4 1.4 3.5 1.6 1.2 1.4 1.4 36.9 1.8 4.7 1.1 1.4 1.5 2.0 32.4 1.6 3.9 1.7 1.4 1.5 1.5 2.2 1.5 1.5 1.8 1.3 1.4 3.3 1.8 2.3 1.6 1.8 2.2 2.1 2.3 3.0 2.0 1.4 1.5 3.4 2.1 2.4 2.3 2.2 2.3 2.3 5.1 2.2 2.1 STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED C-3. Labor force status by State and metropolitan area—Continued (Numbers in thousands) Unemployed Civilian laDor Torce Number Percent of labor force State and area July August July August 1999 2000 1999 July August 1999 2000 1999 2000P 1999 2000 1999 2000P Kansas Lawrence Topeka Wichita 1,460.2 54.6 91.5 296.1 1,477.8 55.9 92.8 296.0 1,435.6 52.5 90.3 289.2 1,452.3 55.4 91.0 290.5 39.4 1.7 2.3 9.3 48.3 2.1 3.0 10.9 40.4 1.7 2.6 9.4 47.9 2.1 3.2 11.2 2.7 3.2 2.5 3.2 3.3 3.8 3.2 3.7 2.8 3.2 2.9 3.3 3.3 3.8 3.5 3.9 Kentucky Lexington Louisville Owensboro 2.010.4 264.9 574.8 52.0 2,026.8 270.5 587.8 53.0 1,989.1 262.8 568.0 52.0 2,006.7 269.0 580.4 52.7 87.9 5.9 20.4 2.5 76.2 5.1 20.6 2.0 81.1 5.4 18.7 2.8 69.9 5.4 17.9 1.9 4.4 2.2 3.6 4.9 3.8 1.9 3.5 3.7 4.1 2.1 3.3 5.3 3.5 2.0 3.1 3.7 Louisiana Alexandria Baton Rouge Houma Lafayette Lake Charles Monroe New Orleans Shreveport-Bossier City 2,096.3 63.3 311.1 94.2 181.4 94.1 73.0 626.5 190.3 2,079.8 63.3 314.6 92.7 178.2 91.3 72.9 621.6 188.9 2,068.0 62.7 307.4 92.7 180.1 93.0 72.4 615.4 187.3 2,048.4 62.2 308.9 91.1 176.5 90.3 72.0 612.6 186.5 117.4 3.3 14.2 4.3 10.9 5.2 3.1 31.6 9.7 107.7 3.5 14.4 3.7 9.0 4.1 2.9 30.1 9.2 106.6 2.9 13.3 3.7 9.8 4.8 2.8 29.2 8.8 101.5 3.2 13.7 3.5 8.2 3.9 2.9 28.6 8.7 5.6 5.2 4.6 4.6 6.0 5.5 4.2 5.0 5.1 5.2 5.5 4.6 3.9 5.0 4.5 4.0 4.8 4.9 5.2 4.6 4.3 4.0 5.4 5.1 3.9 4.7 4.7 5.0 5.1 4.4 3.8 4.6 4.4 4.0 4.7 4.7 690.9 51.0 53.3 140.4 711.6 53.3 54.2 145.9 690.4 51.0 53.3 139.4 706.1 53.1 54.3 142.6 22.1 1.1 1.8 2.5 19.1 1.1 1.4 2.1 22.3 1.2 1.8 2.7 17.0 0.9 1.3 2.0 3.2 2.1 3.3 1.8 2.7 2.0 2.5 1.5 3.2 2.3 3.3 1.9 2.4 1.8 2.4 1.4 Maryland Baltimore Cumberland Hagerstown 2,819.2 1,322.1 44.9 68.8 2,882.3 1,340.9 45.0 69.8 2,788.5 1,309.1 44.3 68.4 2,857.7 1,331.0 44.6 70.1 101.0 55.1 2.9 2.1 96.8 54.5 2.6 1.6 93.2 51.8 2.8 2.1 97.3 54.6 3.2 1.8 3.6 4.2 6.5 3.1 3.4 4.1 5.7 2.4 3.3 4.0 6.4 3.0 3.4 4.1 7.1 2.5 Massachusetts Bamstable- Yarmouth Boston Brockton Fitchburg-Leominster Lawrence Lowell New Bedford Pittsfield Springfield Worcester 3,332.4 86.4 1,845.3 133.1 68.1 206.1 169.6 81.3 41.2 280.8 251.7 3,346.6 87.7 1,856.8 134.6 66.8 209.6 169.6 81.7 41.1 281.4 251.9 3,323.9 85.3 1,842.9 133.6 68.3 205.5 169.1 80.5 41.0 280.3 250.3 3,327.0 85.9 1,848.7 134.1 66.5 208.8 167.8 80.5 40.5 280.3 250.2 108.5 2.1 51.9 5.2 3.0 8.8 6.0 4.9 1.6 10.3 8.5 96.9 1.9 46.1 4.6 2.9 8.4 5.1 4.2 1.3 10.2 7.7 100.6 1.9 49.3 4.8 2.8 8.6 5.7 4.1 1.4 9.4 7.9 79.6 1.6 38.4 3.8 2.4 7.8 4.3 3.5 1.1 8.1 6.5 3.3 2.4 2.8 3.9 4.5 4.3 3.5 6.0 3.9 3.7 3.4 2.9 2.2 2.5 3.5 4.4 4.0 3.0 5.1 3.2 3.6 3.1 3.0 2.2 2.7 3.6 4.1 4.2 3.4 5.1 3.4 3.4 3.1 2.4 1.8 2.1 2.8 3.6 3.7 2.5 4.3 2.7 2.9 2.6 Michigan 1 Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland 5,242.8 311.7 86.6 2,339.7 201.5 626.9 79.2 242.6 246.3 206.9 5,215.4 307.8 86.8 2,330.1 197.6 627.5 79.8 239.1 247.0 203.8 5,192.6 306.7 86.4 2,311.3 197.8 624.6 79.0 240.3 245.7 206.1 5,167.8 305.7 85.8 2,307.0 192.2 623.5 79.8 238.6 244.6 203.3 225.8 8.6 3.6 109.7 14.0 21.8 2.8 9.2 6.4 8.0 223.3 8.5 4.0 100.3 16.3 23.6 2.8 10.0 7.3 7.8 162.8 5.6 2.9 68.5 10.5 18.0 2.3 7.3 5.6 7.3 173.3 6.1 3.0 75.3 10.3 19.6 2.3 7.8 5.9 7.1 4.3 2.7 4.2 4.7 6.9 3.5 3.5 3.8 2.6 3.9 4.3 2.7 4.6 4.3 8.2 3.8 3.5 4.2 3.0 3.8 3.1 1.8 3.4 3.0 5.3 2.9 2.9 3.0 2.3 3.5 3.4 2.0 3.5 3.3 5.3 3.1 2.9 3.3 2.4 3.5 Minnesota Duluth-Superior Minneapolis-St.Paul Rochester St. Cloud 2,736.1 126.0 1,715.7 73.9 97.7 2,799.3 129.4 1,761.8 76.4 100.8 2,727.9 125.2 1,713.3 73.4 96.3 2,798.7 128.7 1,764.7 76.3 100.1 75.7 4.6 40.3 1.5 2.6 65.3 4.3 36.1 1.5 2.3 68.0 5.0 36.3 1.3 2.3 68.8 4.3 38.1 1.5 2.6 2.8 3.7 2.4 2.0 2.7 2.3 3.3 2.1 2.0 2.3 2.5 4.0 2.1 1.8 2.4 2.5 3.3 2.2 2.0 2.6 Mississippi Biloxi-Gulf port-Pascagoul a Hattiesburg Jackson 1,281.8 173.4 49.8 228.4 1,340.0 182.9 52.4 239.5 1,272.7 172.9 49.3 226.4 1,314.5 179.9 51.4 233.3 67.4 6.1 1.6 8.2 79.0 8.1 2.3 10.3 70.0 6.8 1.7 8.6 71.8 7.5 2.0 9.1 5.3 3.5 3.3 3.6 5.9 4.5 4.4 4.3 5.5 3.9 3.5 3.8 5.5 4.2 3.9 3.9 Missouri Columbia Joplin Kansas City St. Joseph St. Louis LMA Springfield 2,889.8 80.8 81.8 995.1 51.1 1,349.3 166.4 2,973.8 78.6 82.6 1,035.8 50.6 1,392.2 175.3 2,848.5 79.1 81.2 984.8 49.6 1,331.6 165.0 2,941.6 79.9 84.2 1,017.9 51.0 1,364.2 171.6 110.7 1.3 3.3 30.8 1.9 56.0 4.5 82.5 0.9 2.6 28.4 1.3 47.6 3.2 101.3 1.1 3.1 29.9 1.7 53.2 4.1 82.6 0.9 2.7 28.7 1.2 47.0 3.3 3.8 1.6 4.0 3.1 3.7 4.2 2.7 2.8 1.2 3.2 2.7 2.6 3.4 1.8 3.6 1.4 3.9 3.0 3.3 4.0 2.5 2.8 1.2 3.2 2.8 2.4 3.4 1.9 487.3 75.7 39.0 53.8 493.4 75.9 38.2 57.9 481.8 74.7 38.4 53.7 489.0 74.8 37.8 57.2 22.3 3.1 1.9 1.7 22.4 2.9 1.9 1.7 20.4 2.9 1.8 1.6 20.3 2.7 1.7 1.5 4.6 4.1 5.0 3.1 4.5 3.9 5.1 2.9 4.2 3.9 4.7 2.9 4.2 3.6 4.5 2.7 Maine Bangor Lewiston-Aubum Portland Montana Billings Great Falls Missoula See footnotes at end of table. 132 2000P STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED C-3. Labor force status by State and metropolitan area—Continued (Numbers in thousands) Unemployed Civilian laoor rorce Number Percent of labor force State and area July 1999 July August 2000 1999 August 2000P 1999 2000 1999 August July 2000P 1999 2000 1999 2000P Nebraska ... Lincoln .... Omaha.... 926.9 143.6 392.0 959.9 153.3 407.1 917.3 143.1 388.5 945.3 151.9 402.4 29.0 3.9 10.9 29.5 4.2 11.1 24.9 3.2 9.9 24.2 3.3 9.8 3.1 2.7 2.8 3.1 2.8 2.7 2.7 2.3 2.5 2.6 2.2 2.4 Nevada Las Vegas. Reno 955.9 738.9 174.7 999.9 772.0 184.1 953.7 739.8 174.2 999.4 775.1 183.7 48.4 38.8 6.4 38.9 32.0 4.8 46.0 37.1 6.0 39.2 32.5 4.9 5.1 5.2 3.7 3.9 4.1 2.6 4.8 5.0 3.4 3.9 4.2 2.7 New Hampshire Manchester Nashua Portsmouth-Rochester.. 680.0 106.5 105.9 129.5 700.3 110.7 107.9 133.6 677.3 105.9 105.9 128.8 694.9 110.3 107.5 133.1 15.4 2.0 2.6 2.9 19.1 2.4 2.8 3.8 15.8 2.2 3.0 2.3 18.5 2.5 2.9 2.8 2.3 1.9 2.5 2.2 2.7 2.2 2.6 2.9 2.3 2.1 2.8 1.8 2.7 2.2 2.7 2.1 4,292.4 187.2 691.3 287.6 651.4 548.6 1,037.1 168.1 64.7 4,298.8 185.1 684.6 286.5 656.9 548.8 1,043.7 168.7 63.5 4,247.9 184.4 684.8 284.9 643.5 543.3 1,026.6 166.1 63.7 4,268.7 184.5 679.6 285.1 652.7 543.9 1,035.7 167.5 62.6 226.4 13.2 36.9 24.1 25.4 25.4 54.6 7.8 6.0 183.7 10.4 29.7 18.7 21.2 21.2 43.5 6.4 4.8 195.7 11.1 32.2 20.6 22.3 21.8 47.2 6.8 5.0 165.1 9.0 26.5 16.6 19.7 18.8 39.7 5.7 4.4 5.3 7.0 5.3 8.4 3.9 4.6 5.3 4.7 9.3 4.3 5.6 4.3 6.5 3.2 3.9 4.2 3.8 7.5 4.6 6.0 4.7 7.2 3.5 4.0 4.6 4.1 7.8 3.9 4.9 3.9 5.8 3.0 3.5 3.8 3.4 7.0 809.4 354.0 65.9 74.3 846.1 373.5 69.6 77.3 807.8 351.8 68.6 74.0 841.6 370.0 71.3 76.8 46.9 14.8 5.1 2.1 48.8 15.4 5.3 2.4 45.1 14.6 4.8 2.1 46.3 15.0 4.6 2.3 5.8 4.2 7.7 2.8 5.8 4.1 7.6 3.1 5.6 4.1 7.0 2.8 5.5 4.0 6.4 3.1 New York Albany-Schenectady-Troy ... Binghamton Buffalo-Niagara Falls Dutchess County Elmira Glens Falls Jamestown Nassau-Suffolk NewYork New York City Newburgh Rochester Syracuse Utica-Rome 9,073.1 457.0 124.4 582.3 121.7 45.2 64.5 67.8 1,442.6 4,180.7 3,513.4 181.9 584.4 368.7 148.3 9,151.2 462.8 126.5 582.0 124.3 46.1 65.4 68.6 1,468.7 4,200.7 3,520.6 184.4 587.5 375.9 149.7 8,989.2 456.1 123.9 577.2 121.4 44.6 64.0 67.6 1,434.4 4,130.3 3,466.8 180.5 579.6 365.2 146.6 9,079.3 461.1 126.0 576.9 123.9 45.7 65.2 68.4 1.456.9 4,164.1 3,492.1 182.1 583.7 372.4 148.5 481.6 15.1 4.6 32.8 3.9 2.1 2.3 3.3 55.4 274.4 249.3 6.9 23.4 14.6 5.5 401.4 13.8 3.4 28.5 3.3 2.2 1.7 2.7 45.9 226.3 205.5 5.9 20.3 12.6 5.1 446.5 14.2 4.3 30.1 3.8 1.9 2.0 2.9 53.2 254.2 230.3 6.1 22.0 13.6 5.1 390.9 13.6 3.2 27.2 3.4 2.0 1.7 2.6 46.4 220.4 200.1 5.7 19.6 12.1 4.8 5.3 3.3 3.7 5.6 3.2 4.7 3.5 4.8 3.8 6.6 7.1 3.8 4.0 4.0 3.7 4.4 3.0 2.7 4.9 2.7 4.7 2.6 4.0 3.1 5.4 5.8 3.2 3.5 3.3 3.4 5.0 3.1 3.5 5.2 3.1 4.3 3.1 4.3 3.7 6.2 6.6 3.4 3.8 3.7 3.5 4.3 3.0 2.5 4.7 2.7 4.4 2.6 3.8 3.2 5.3 5.7 3.1 3.4 3.2 3.2 North Carolina Asheville Charlotte-Gastonia-Rock Hill Fayetteville Goldsboro Greensboro—Winston-Salem—High Point Greenville Hickory-Morganton-Lenoir Jacksonville Raleigh-Durham-Chapel Hill Rocky Mount Wilmington 3,962.1 111.4 793.0 115.8 48.8 655.9 64.6 173.7 47.5 649.6 68.5 113.4 4,002.7 112.6 803.9 117.0 49.6 659.5 66.7 175.2 48.5 656.9 69.5 115.7 3,927.2 110.2 784.6 114.1 48.6 650.1 64.2 173.1 47.8 641.0 67.9 112.2 3,991.4 112.1 804.8 116.5 50.0 658.3 67.5 175.4 47.9 650.2 69.1 115.0 133.8 2.7 23.6 4.9 2.1 17.4 3.2 4.0 1.8 11.3 4.2 3.7 139.6 2.8 27.1 5.0 1.9 18.5 3.2 4.4 1.7 11.7 4.0 4.6 127.5 2.3 22.4 4.6 2.0 17.4 3.1 3.5 1.7 10.8 3.8 3.8 141.2 2.7 34.4 4.5 1.7 18.8 2.7 4.8 1.5 10.5 3.4 3.9 3.4 2.4 3.0 4.2 4.3 2.7 4.9 2.3 3.7 1.7 6.2 3.3 3.5 2.5 3.4 4.2 3.8 2.8 4.8 2.5 3.4 1.8 5.8 3.9 3.2 2.1 2.9 4.1 4.0 2.7 4.8 2.0 3.6 1.7 5.6 3.3 3.5 2.4 4.3 3.9 3.4 2.9 4.0 2.8 3.1 1.6 4.9 3.4 346.7 54.0 102.5 51.9 349.4 55.6 105.2 52.3 345.6 54.0 101.0 52.2 348.9 55.3 104.5 52.6 11.6 1.3 2.3 1.7 8.6 1.0 1.5 1.7 10.9 1.4 1.5 1.6 9.5 1.0 1.8 1.8 3.4 2.5 2.2 3.2 2.5 1.8 1.4 3.3 3.2 2.6 1.5 3.1 2.7 1.9 1.8 3.4 5,862.8 367.9 206.0 866.6 1,141.3 847.0 477.4 185.1 77.6 85.6 56.9 329.3 287.1 5,991.2 377.3 212.3 893.6 1,157.2 866.1 486.8 188.9 81.2 86.9 56.9 332.2 290.6 5,847.3 367.3 205.5 867.2 1,141.5 846.6 477.2 186.9 77.4 86.6 56.4 323.0 285.7 5,952.9 376.4 211.4 887.9 1,150.2 861.0 482.2 189.5 79.8 87.2 57.0 329.8 289.2 263.9 15.8 9.1 29.1 49.0 21.6 20.9 6.0 3.7 4.8 3.3 25.7 17.7 256.2 13.8 8.4 30.8 48.2 21.5 22.2 5.8 4.3 4.7 2.3 21.9 16.5 237.7 14.4 8.8 30.7 49.1 22.3 18.5 5.9 3.3 5.0 3.3 14.2 14.6 232.8 13.7 8.0 30.6 46.5 21.2 18.0 5.8 3.1 4.5 2.3 18.4 14.2 4.5 4.3 4.4 3.4 4.3 2.5 4.4 3.2 4.8 5.6 5.8 7.8 6.2 4.3 3.7 3.9 3.4 4.2 2.5 4.6 3.1 5.2 5.4 4.0 6.6 5.7 4.1 3.9 4.3 3.5 4.3 2.6 3.9 3.1 4.3 5.7 5.9 4.4 5.1 3.9 3.6 3.8 3.4 4.0 2.5 3.7 3.1 3.9 5.2 4.1 5.6 4.9 New Jersey Atlantic-Cape May Bergen-Passaic Jersey City Middlesex-Somerset-Hunterdon. Monmouth-Ocean Newark Trenton Vineland-Millville-Bridgeton New Mexico Albuquerque . Las Cruces ... Santa Fe North Dakota Bismarck Fargo-Moorhead.. Grand Forks Ohio Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren See footnotes at end of table. 133 STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED C-3. Labor force status by State and metropolitan area—Continued (Numbers in thousands) Unemployed Civilian labor force Number Percent of labor force State and area Oklahoma Enid Lawton Oklahoma City Tulsa Oregon Corvallis EuQene-Springfield . . . Medford-Ashland Portland-Vancouver Salem . Pennsylvania Allentown-Bethlehem-Easton Altoona Erie Harrisburg-Lebanon-Carlisle Johnstown Lancaster . . Philadelphia Pittsburgh Reading ... Scranton—Wilkes-Barre—Hazleton Sharon State C o l l e g e . . . . . Williamsport York Rhode Island Providence-Fall River-Warwick South Carolina Charleston-North Charleston Columbia Florence Greenville-Spartanburg-Anderson Myrtle Beach Sumter South Dakota Rapid City Sioux Falls Tennessee Chattanooga . Clarksville-Hopkinsville Jackson Johnson City-Kingsport-Bristol Knoxville Memphis Nashville Texas Abilene Amarillo Austin-San Marcos . . . Beaumont-Port Arthur Brazoria Brownsville-Harlingen-San Benito Brvan-Colleae Station Corpus Christi Dallas El Paso . . Fort Worth-Arlinaton Galveston-Texas City Houston . Killeen-Temple Laredo . . Longview-Marshall Lubbock McAllen-Edinburg-Mission Odessa-Midland San Angelo San Antonio Sherman-Denison Texarkana . . . . July August July 1999 2000 1999 August July 2000P 1999 2000 1999 2000P 47.6 0.7 1.2 13.1 11.6 3.1 2.6 3.1 2.4 3.0 2.9 2.8 3.0 2.4 2.8 2.9 2.5 3.0 2.2 2.9 2.9 2.5 3.0 2.3 2.7 94.5 1.1 9.0 5.5 48.2 9.2 90.1 1.1 9.6 5.0 46.6 9.2 5.5 3.0 5.9 6.6 4.5 6.0 4.7 2.6 5.7 5.3 4.0 5.1 5.3 2.8 5.6 6.1 4.6 5.4 4.9 2.9 5.7 5.3 4.3 5.2 258.6 12.1 2.9 7.0 9.6 7.0 6.4 109.6 48.7 8.0 15.4 3.1 1.6 2.4 6.9 263.3 13.3 2.6 6.8 13.1 5.6 6.8 111.8 49.6 7.3 15.8 3.0 2.0 2.6 7.4 235.2 11.2 2.7 6.1 9.4 6.2 5.9 100.1 45.4 7.1 13.4 2.6 1.4 2.1 6.2 4.6 4.3 4.3 5.1 3.6 5.9 2.9 4.7 4.5 4.4 5.8 6.1 2.8 5.2 3.9 4.3 3.8 4.5 4.9 2.7 6.6 2.6 4.2 4.2 4.3 5.0 5.2 2.5 4.1 3.5 4.3 4.2 4.0 4.8 3.7 5.4 2.7 4.4 4.2 4.0 5.1 5.2 3.1 4.5 3.8 3.9 3.6 4.2 4.2 2.7 6.1 2.4 3.9 3.9 3.8 4.4 4.4 2.2 38 3.2 20.4 24.5 19.3 22.8 20.6 23.6 22.2 24.2 4.0 4.2 3.7 3.9 4.0 4.1 4.3 4.1 2.033.0 290.8 297.8 63.0 510.1 107.2 47.3 97.4 11.2 7.6 3.7 20.1 2.8 3.3 90.8 10.4 8.7 3.6 16.4 3.2 2.6 92.4 10.5 7.4 3.3 16.7 2.7 2.6 88.9 10.3 9.0 3.6 16.2 3.3 2.5 4.9 4.1 2.7 5.8 4.0 2.5 6.9 4.4 3.5 2.9 5.7 3.2 2.9 5.5 4.7 3.8 2.6 5.3 3.4 2.5 5.6 4.4 3.5 3.0 5.6 3.2 3.1 5.2 408.5 48.2 103.0 410.0 47.7 104.7 11.3 1.1 1.6 8.8 0.8 1.4 11.5 1.0 1.7 8.6 0.7 1.3 2.7 2.2 1.6 2.1 1.6 1.3 2.8 2.2 1.6 2.1 1.6 1.3 2,880.9 233.0 90.0 59.6 229.5 355.4 580.1 692 7 2,853.7 230.1 87.1 59.2 228.2 357.3 570.6 670.0 2,867.0 231.5 89.5 59.5 227.9 351.1 580.8 689.7 127.0 8.4 2.9 2.0 11.0 11.9 21.9 19.3 116.0 6.7 3.4 2.2 10.0 10.1 22.5 18.9 119.8 9.1 2.9 2.1 10.6 10.8 23.1 20.1 110.2 7.1 3.0 2.1 8.9 9.3 22.3 20.2 4.4 3.6 3.4 3.3 4.8 3.3 3.9 2.9 4.0 2.9 3.8 3.6 4.4 2.8 3.9 2.7 4.2 4.0 3.4 3.5 4.7 3.0 4.0 3.0 3.8 3.1 3.4 3.6 3.9 2.6 3.8 2.9 10,491.0 61.1 115.0 739.9 178.5 103.1 131.7 74.3 180.0 2,001.5 291.1 935.1 122.8 2,213.9 117.3 74.2 103.0 127.4 197.6 118.3 50.6 788 7 51.5 57.3 10,248.7 59.0 112.8 712.4 182.4 105.3 126.2 72.7 177.6 1,931.3 288.7 905.3 122.1 2,163.0 115.3 72.3 103.6 123.6 185.1 120.9 50.2 769.8 50.1 56.2 10,422.6 60.3 113.7 739.4 176.0 103.2 130.1 73.8 178.1 1,991.1 289.8 928.9 121.2 2,203.7 116.3 72.9 101.9 125.8 195.6 117.7 50.1 784.2 50.9 56.4 513.3 2.3 4.9 16.9 17.6 8.1 12.7 1.6 13.3 64.9 28.6 30.5 9.1 109.8 4.2 6.7 8.3 4.7 26.8 11.7 2.3 26.3 2.4 3.1 469.0 2.2 4.5 15.8 15.3 7.0 11.6 1.2 12.2 65.3 24.7 31.9 7.9 97.6 4.0 5.5 6.0 4.3 26.9 7.1 1.7 29.9 1.9 2.7 471.9 2.2 4.6 15.6 16.3 7.5 10.7 1.4 12.4 61.7 26.6 28.4 8.4 102.9 3.8 5.7 7.5 3.6 24.3 10.5 2.1 24.4 2.2 2.9 452.0 2.2 4.0 15.2 14.9 6.8 10.4 1.2 11.6 64.7 23.8 33.0 7.6 93.8 4.0 4.8 5.8 3.5 26.3 6.6 1.6 28.3 1.9 2.5 5.0 3.9 4.3 2.4 9.6 7.7 9.8 2.1 7.4 3.3 9.8 3.4 7.3 5.0 3.6 9.1 7.9 3.8 14.2 9.6 4.5 3.4 4.7 5.4 4.5 3.6 3.9 2.1 8.6 6.8 8.8 1.7 6.8 3.3 8.5 3.4 6.4 4.4 3.4 7.4 5.8 3.3 13.6 6.0 3.4 3.8 3.8 4.8 4.6 3.6 4.1 2.2 9.0 7.2 8.5 1.9 7.0 3.2 9.2 3.1 6.9 4.8 3.3 7.8 7.2 2.9 13.1 8.7 4.2 3.2 4.3 5.2 4.3 3.6 3.6 2.1 8.4 6.6 8.0 1.6 6.5 3.3 8.2 3.6 6.3 4.3 3.4 6.5 5.7 2.8 13.4 5.6 3.2 3.6 3.8 4.4 1999 2000 1999 2000P 1,671.4 28.3 41.6 560.8 432.7 1,675.2 27.6 42.0 567.8 427.8 1,653.7 27.3 41.5 555.9 424.9 1,661.7 27.0 41.4 562.1 421.1 51.9 0.7 1.3 13.3 12.9 49.0 0.8 1.3 13.9 11.9 48.1 0.7 1.2 12.2 12.4 1,776.9 39.7 161.1 88.4 1,055.9 171.2 1,834.4 39.3 165.6 91.4 1,089.8 177 9 1,767.9 39.7 161.3 89.6 1,051.7 171 0 1,844.6 40.0 168.5 93.8 1,090.6 178.4 97.3 1.2 9.6 5.9 48.0 10.3 86.2 1.0 9.5 4.8 43.6 9.0 6,088.7 320.0 65.2 143.3 356.6 104.9 250.9 2,573.2 1,177.5 185.2 310.4 59.1 63.9 57.1 195.5 6,069.4 317.9 64.7 143.9 353.1 104.9 248 3 2,590.0 1,171.6 184.6 309.7 59.3 64.0 57.4 194.5 6,055.4 318.5 65.0 142.4 355.4 104.2 250 6 2,557.5 1,169.8 184.5 307.7 58.2 64.0 56.8 194.6 6,027.9 315.9 64.3 142.9 352.1 103.2 248.3 2,572.4 1,161.7 183.6 306.6 58.0 64.8 56.9 192.8 282.0 13.9 2.8 7.4 12.9 6.2 7.3 120.2 53.2 8.2 17.9 3.6 1.8 3.0 7.5 510.1 579.3 514.0 581.8 513.6 582.8 516.1 584.0 1,996.3 275.3 284.9 63.3 502.6 110.7 47.6 2,048.2 293.4 300.1 63.4 514.6 109.7 47.9 1,981.8 274.0 282.8 62.3 496.4 108.5 46.5 412.5 49.0 104.5 414.8 48.8 106.4 2,861.9 231.2 87.0 59.5 229.4 360.9 568.5 669 7 10,325.4 59.8 114.0 712.7 183.6 105.4 129.4 73.1 179.6 1,943.9 291.4 909.5 124.0 2,176.1 116.0 73.6 104.6 124.3 188.3 122.3 50.7 775.7 50.7 56.7 See footnotes at end of table. August 134 STATE AND AREA LABOR FORCE DATA NOT SEASONALLY ADJUSTED C-3. Labor force status by State and metropolitan area—Continued (Numbers in thousands) Unemployed Civilian labor force Number Percent of labor force State and area August July 1999 Texas—Continued Tyler Victoria Waco Wichita Falls July 2000 1999 2000P 1999 August 2000 1999 August July 2000P 1999 2000 1999 2000P 90.0 44.3 103.3 65.0 90.7 44.8 102.5 64.5 90.0 43.6 101.8 64.2 90.5 44.3 101.3 63.5 3.9 2.1 4.0 3.2 3.5 1.7 3.7 2.9 3.6 1.9 3.5 2.9 3.4 1.6 3.6 2.6 4.4 4.7 3.8 4.9 3.9 3.8 3.6 4.4 4.0 4.3 3.5 4.4 3.7 3.7 3.5 4.0 1,099.0 162.4 704.3 1,127.5 167.8 722.3 1,098.9 164.3 705.0 1,126.9 169.3 723.9 44.2 5.5 27.3 35.8 4.3 22.7 44.1 5.4 27.7 38.0 24.1 4.0 3.4 3.9 3.2 2.5 3.1 4.0 3.3 3.9 3.4 2.7 3.3 339.8 103.1 344.5 106.9 338.9 103.0 344.2 106.8 9.8 2.1 8.5 1.8 8.5 1.9 7.7 1.8 2.9 2.0 2.5 1.7 2.5 1.8 2.2 1.7 Virginia Chariottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News Richmond-Petersburg Roanoke 3,575.4 75.1 3,709.2 79.1 96.0 1.0 3.9 2.3 27.5 1.1 3.6 2.0 23.7 11.3 2.4 104.7 1.2 4.0 2.0 27.5 13.3 2.7 95.4 2.0 3.6 2.3 24.6 514.8 127.9 58.6 108.7 764.7 536.5 130.6 3,684.5 78.9 58.4 108.1 761.2 533.4 102.2 55.9 3,567.4 74.6 56.3 103.8 749.3 2.9 1.4 7.1 2.2 3.7 2.5 2.0 2.6 1.4 6.2 1.9 3.1 2.1 1.8 2.9 1.6 7.1 2.0 3.7 2.6 2.1 2.6 2.5 6.1 2.2 3.2 2.3 1.8 Washington Bellingham Bremerton Olympia Richland-Kennewick-Pasco Seattle-Bellevue-Everett Spokane Tacoma Yakima 3,142.1 83.4 94.7 3,140.5 84.0 95.1 146.4 4.1 4.8 4.6 5.6 49.7 17.4 10.0 4.6 5.1 5.1 4.7 6.1 3.5 5.3 4.7 8.1 4.7 5.0 5.3 4.7 6.3 3.6 4.8 5.2 8.1 4.4 4.8 4.7 4.3 5.3 3.3 4.3 4.3 8.5 4.8 4.9 5.2 4.7 5.8 3.5 4.7 5.2 8.8 Utah Provo-Orem Salt Lake City-Ogden Vermont Burlington West Virginia Charleston Huntington-Ashland Parkersburg-Marietta Wheeling Wisconsin Appleton-Oshkosh-Neenah Eau Claire Green Bay Janesville-Beloit Kenosha LaCrosse Madison Milwaukee-Waukesha Racine Sheboygan Wausau Wyoming Casper Cheyenne Puerto Rico Aguadilla Arecibo Caguas Mayaguez Ponce San Juan-Bayamon 104.3 749.2 512.5 127.0 3,097.0 129.2 148.2 4.2 5.1 4.8 6.3 10.1 17.7 9.8 135.0 3.9 4.4 4.4 5.1 46.8 8.9 14.5 10.2 12.4 2.3 206.9 334.3 1,402.3 207.3 338.0 119.7 113.5 145.0 4.2 4.8 4.7 6.0 49.6 11.2 15.9 10.0 822.7 138.5 141.5 77.7 75.9 826.9 138.3 139.7 78.1 74.2 812.7 139.0 141.1 111 74.9 52.7 6.1 9.1 4.4 3.5 43.0 5.6 7.8 3.7 3.1 51.7 6.1 9.1 4.2 3.5 39.8 6.3 7.7 3.4 3.1 6.3 4.4 6.4 5.7 4.6 5.2 4.1 5.5 4.7 4.1 6.2 4.4 6.5 5.4 4.8 4.9 4.5 5.5 4.4 4.1 2,936.2 222.5 3,094.1 236.7 82.1 86.9 145.3 2,911.7 220.5 80.2 3,059.2 234.2 85.0 134.2 76.6 144.9 80.8 83.3 71.1 113.2 6.3 3.0 3.8 6.3 4.7 2.2 4.5 36.0 5.2 1.7 2.4 75.0 4.4 1.9 2.7 2.4 2.3 2.1 3.1 24.3 4.0 1.1 1.7 98.6 5.4 2.6 3.4 3.8 2.7 2.1 4.2 32.2 4.2 1.4 2.2 2.9 2.2 2.5 2.2 6.0 4.3 2.7 1.3 3.2 4.9 2.5 2.6 3.7 2.7 3.5 2.6 7.5 5.6 3.1 1.7 4.2 5.5 2.6 3.2 2.6 2.0 2.3 2.0 3.2 2.8 3.0 1.2 3.0 4.3 1.9 2.4 3.2 2.3 3.1 2.3 4.7 3.3 2.9 1.5 3.8 4.5 2.2 2.9 101.6 99.9 100.4 1,417.2 210.4 338.9 123.2 100.9 1,421.2 211.6 342.2 120.7 835.6 139.4 140.7 78.2 74.8 82.1 93.5 100.3 96.1 1,406.9 3,080.9 83.0 93.1 98.0 97.5 51.3 9.7 73.1 95.2 65.9 77.3 91.5 61.3 72.6 64.9 76.4 85.3 4.8 2.1 2.9 4.7 3.5 1.9 3.4 26.0 4.5 1.5 1.9 269.0 33.5 39.6 270.4 33.8 40.6 264.9 33.1 38.6 267.0 33.5 39.9 11.6 1.7 1.3 9.4 1.3 1.1 10.7 1.6 1.3 9.2 1.4 1.1 4.3 5.0 3.4 3.5 4.0 2.8 4.0 4.9 3.3 3.5 4.2 2.7 1,284.5 45.8 1,315.0 49.0 51.0 120.8 88.7 112.5 720.3 1,278.3 46.4 1,291.1 47.1 50.7 118.9 86.8 110.8 715.6 139.5 7.6 6.6 131.3 7.5 5.8 11.4 154.9 8.4 7.5 145.1 8.1 10.5 13.9 16.1 68.0 10.9 16.5 12.9 10.4 14.4 13.1 8.6 10.0 15.4 11.5 9.5 11.8 13.4 12.1 18.0 14.7 11.7 15.4 15.0 9.7 11.2 17.3 12.7 10.4 13.7 15.0 8.9 134.2 79.3 80.2 69.7 261.1 803.5 92.6 62.3 51.2 118.5 90.8 110.2 706.9 83.6 84.0 71.0 271.6 849.0 79.3 68.9 797.5 269.6 842.3 260.1 51.3 117.7 89.9 106.9 704.0 93.8 P = preliminary. 1 LAUS estimates for Michigan and its substate areas are subject to revision when Current Employment Statistics data are corrected. 12.7 2.6 4.6 12.4 13.1 14.4 60.6 15.0 56.6 13.8 6.4 12.3 11.9 16.6 63.4 7.9 NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. All estimates are provisional and will be revised when new benchmark and population information becomes available. 135 HOUSEHOLD DATA SEASONALLY ADJUSTED QUARTERLY AVERAGES D-1. Employment status of the civilian noninstitutional population by sex and age, seasonally adjusted (Numbers in thousands) Employment status, sex, and age 1997 1999 1998 IV 2000 IV IV TOTAL Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio2 Unemployed Unemployment rate 203,367 203,936 204,395 204,905 205,483 206,098 206,876 207,432 208,044 208,660 208,914 209,377 209,941 136,541 136,835 137,274 137,331 137,732 138,321 139,058 139,144 139,394 139,880 140,981 140,827 140,593 67.1 67.5 67.1 67.1 67.0 67.0 67.2 67.1 67.0 67.3 67.0 67.2 67.0 129,927 130,448 130,861 131,256 131,526 132,208 133,077 133,214 133,526 134,153 135,247 135,200 134,941 63.9 64.7 64.2 64.1 64.0 64.1 64.0 64.0 64.3 64.6 64.2 64.3 64.3 6,614 5,733 5,930 6,114 6,207 6,076 6,412 6,387 5,652 5,627 5,868 5,981 5,727 4.8 4.1 4.3 4.4 4.5 4.4 4.7 4.7 4.0 4.0 4.2 4.3 4.1 Men, 16 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio2 Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 97,839 73,314 74.9 69,839 71.4 2,522 67,317 3,475 4.7 24,525 98,139 73,518 74.9 70,114 71.4 2,481 67,633 3,404 4.6 24,621 98,326 73,675 74.9 70,313 71.5 2,458 67,855 3,362 4.6 24,651 98,595 73,802 74.9 70,633 71.6 2,536 68,097 3,169 4.3 24,793 98,894 74,004 74.8 70,695 71.5 2,620 68,075 3,309 4.5 24,891 99,216 74,320 74.9 71,125 71.7 2,579 68,546 3,195 4.3 24,896 99,280 74,395 74.9 71,289 71.8 2,444 68,845 3,106 4.2 24,884 99,565 74,334 74.7 71,248 71.6 2,446 68,802 3,086 4.2 25,231 99,867 100,177 100,334 100,569 100,852 74,547 74,779 75,365 75,064 75,187 74.6 74.6 74.6 74.6 75.1 71,501 71,761 72,381 72,157 72,274 71.7 71.7 72.1 71.6 71.6 2,402 2,466 2,443 2,493 2,398 69,099 69,317 69,915 69,760 69,782 2,984 3,019 3,046 2,907 2,913 4.0 4.1 3.9 4.0 3.9 25,320 25,397 24,968 25,505 25,664 Men, 20 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio2 Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 89,979 69,242 77.0 66,475 73.9 2,343 64,132 2,767 4.0 20,738 90,244 69,397 76.9 66,618 73.8 2,307 64,311 2,780 4.0 20,846 90,456 69,479 76.8 66,802 73.9 2,272 64,530 2,677 3.9 20,977 90,634 69,618 76.8 67,099 74.0 2,353 64,746 2,519 3.6 21,016 90,898 69,720 76.7 67,117 73.8 2,397 64,720 2,603 3.7 21,178 91,171 70,013 76.8 67,519 74.1 2,361 65,158 2,494 3.6 21,158 91,176 70,082 76.9 67,642 74.2 2,258 65,384 2,440 3.5 21,094 91,386 70,029 76.6 67,559 73.9 2,258 65,301 2,470 3.5 21,357 91,682 70,245 76.6 67,805 74.0 2,227 65,577 2,440 3.5 21,437 Women, 16 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio2 Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 91,978 70,419 76.6 68,044 74.0 2,232 65,812 2,375 3.4 21,559 92,098 70,953 77.0 68,585 74.5 2,281 66,304 2,368 3.3 21,145 92,419 70,693 76.5 68,381 74.0 2,233 66,148 2,312 3.3 21,726 92,753 70,924 76.5 68,632 74.0 2,311 66,321 2,292 3.2 21,830 105,528 105,797 106,069 106,310 106,588 106,882 107,596 107,866 108,177 108,484 108,580 108,808 109,090 63,227 63,317 63,599 63,529 63,728 64,001 64,662 64,810 64,848 65,100 65,615 65,763 65,406 60.4 60.1 59.8 60.0 59.8 60.1 59.9 59.8 59.9 60.0 60.4 60.0 59.9 60,088 60,334 60,548 60,622 60,831 61,083 61,788 61,966 62,025 62,392 62,866 63,043 62,667 57.4 57.1 57.1 57.0 57.9 57.4 57.2 57.0 56.9 57.4 57.5 57.3 57.9 874 849 831 861 810 808 879 871 913 832 829 835 927 59,217 59,455 59,717 59,814 59,982 60,273 60,926 61,092 61,197 61,560 61,953 62,115 61,832 2,844 2,898 3,051 2,875 2,918 2,907 2,983 3,139 2,749 2,708 2,822 2,739 2,720 4.4 4.8 4.7 4.4 4.4 4.5 4.6 5.0 4.1 4.2 4.2 4.6 4.2 42,300 42,480 42,470 42,781 42,860 42,880 42,934 43,057 43,329 43,383 42,965 43,045 43,684 Women, 20 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio2 Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 98,000 59,390 60.6 56,840 58.0 823 56,017 2,551 4.3 38,610 98,219 59,484 60.6 57,045 58.1 830 56,215 2,439 4.1 38,735 98,475 59,608 60.5 57,055 57.9 771 56,285 2,552 4.3 38,867 98,662 59,528 60.3 57,145 57.9 745 56,400 2,383 4.0 39,134 98,891 59,694 60.4 57,321 58.0 793 56,528 2,373 4.0 39,197 99,118 59,979 60.5 57,591 58.1 762 56,829 2,388 4.0 39,139 99,755 100,021 100,291 100,566 100,652 100,915 101,214 60,612 60,820 60,872 61,054 61,607 61,710 61,385 60.8 60.7 61.2 60.7 60.8 61.2 60.6 58,283 58,489 58,585 58,865 59,366 59,428 59,146 58.4 58.5 59.0 58.5 58.4 58.9 58.4 815 864 786 825 785 866 786 57,468 57,664 57,800 58,079 58,503 58,562 58,360 2,332 2,241 2,287 2,329 2,188 2,283 2,238 3.8 3.8 3.7 3.8 3.6 3.6 3.6 39,143 39,200 39,419 39,512 39,045 39,204 39,829 Both sexes, 16 to 19 years Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio2 Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 15,387 7,909 51.4 6,613 43.0 228 6,385 1,296 16.4 7,478 15,473 7,954 51.4 6,785 43.9 222 6,563 1,168 14.7 7,520 15,464 8,187 52.9 7,004 45.3 246 6,757 1,183 14.5 7,277 15,609 8,186 52.4 7,012 44.9 246 6,766 1,174 14.3 7,423 15,694 8,319 53.0 7,088 45.2 278 6,810 1,231 14.8 7,375 15,809 8,329 52.7 7,098 44.9 265 6,832 1,232 14.8 7,479 15,945 8,363 52.5 7,151 44.8 232 6,919 1,212 14.5 7,582 1 2 The population figures are not adjusted for seasonal variation. Employment as a percent of the civilian noninstitutional population. N O T E : Detail for the seasonally adjusted data shown in tables D-1 through 16,025 8,295 51.8 7,166 44.7 237 6,929 1,128 13.6 7,731 16,071 8,277 51.5 7,137 44.4 218 6,919 1,141 13.8 7,794 16,117 8,407 52.2 7,243 44.9 258 6,986 1,164 13.8 7,710 16,164 8,420 52.1 7,296 45.1 234 7,061 1,124 13.4 7,744 16,043 8,424 52.5 7,392 46.1 226 7,166 1,032 12.3 7,619 15,974 8,285 51.9 7,163 44.8 230 6,933 1,122 13.5 7,690 D-11 will not necessarily add to totals because of the independent seasonal adjustment of the various series. Beginning in January 2000, data reflect revised population controls used in the household survey. 136 HOUSEHOLD DATA SEASONALLY ADJUSTED QUARTERLY AVERAGES D-2. Employment status of the civilian noninstitutionai population by race, sex, age, and Hispanic origin, seasonally adjusted (Numbers in thousands) Employment status, race, sex, age, and Hispanic origin 1998 1997 2000 1999 IV IV IV WHITE Civilian noninstitutionai population1 Civilian labor force Percent of population Employed Employment-population ratio2 Unemployed Unemployment rate 170,149 170,540 170,915 171,262 171,657 172,079 172,494 172,862 173,280 173,705 173,893 174,202 174,592 114,814 115,041 115,154 115,166 115,485 115,850 116,349 116,352 116,535 116,788 117,790 117,512 117,448 67.3 67.5 67.3 67.3 67.5 67.3 67.3 67.2 67.2 67.7 67.4 67.5 67.5 109,996 110,491 110,554 110,787 111,012 111,390 112,008 111,966 112,268 112,703 113,656 113,462 113,319 64.7 64.9 64.8 64.8 65.1 64.7 64.9 64.7 64.9 65.4 64.7 64.8 64.6 4,473 4,341 4,385 4,267 4,049 4,459 4,129 4,379 4,085 4,134 4,600 4,550 4,818 3.9 3.7 3.8 3.7 3.4 3.8 3.5 3.8 3.5 3.5 4.0 4.0 4.2 Men, 20 years and over Civilian labor force Percent of population Employed Employment-population ratio2 Unemployed Unemployment rate 59,126 77.4 57,052 74.7 2,074 3.5 59,293 77.4 57,235 74.7 2,059 3.5 59,225 77.2 57,252 74.6 1,974 3.3 59,316 77.2 57,452 74.7 1,864 3.1 59,457 77.2 57,518 74.7 1,939 3.3 59,678 77.3 57,790 74.8 1,888 3.2 59,686 77.4 57,838 75.0 1,847 3.1 59,625 77.1 57,768 74.7 1,857 3.1 59,857 77.2 58.021 74.9 1,836 3.1 59,809 76.9 58,110 74.8 1,699 2.8 60,283 77.4 58,553 75.2 1,730 2.9 60,001 76.9 58,326 74.7 1,675 2.8 60,194 76.9 58,515 74.8 1,679 2.8 48,958 60.0 47,178 57.9 1,780 3.6 49,005 60.0 47,327 57.9 1,678 3.4 48,993 59.8 47,220 57.7 1,773 3.6 48,947 59.7 47,297 57.7 1,650 3.4 49,022 59.7 47,363 57.7 1,659 3.4 49,155 59.7 47,490 57.7 1,665 3.4 49,635 60.0 48,003 58.0 1,632 3.3 49,716 60.0 48,019 58.0 1,698 3.4 49,653 59.8 48,050 57.9 1,603 3.2 49,853 59.9 48,321 58.1 1.532 3.1 50,396 60.5 48,823 58.6 1,573 3.1 50,403 60.4 48,778 58.4 1,625 3.2 50,217 60.0 48,592 58.1 1,625 3.2 6,729 55.1 5,765 47.2 964 14.3 15.0 13.6 6,743 55.1 5,930 48.4 814 12.1 12.7 11.3 6,935 56.4 6,082 49.4 854 12.3 14.5 10.0 6,903 55.6 6,037 48.7 865 12.5 13.9 11.1 7,006 56.1 6,131 49.1 875 12.5 14.1 10.7 7,017 55.9 6,110 48.7 906 12.9 13.9 11.8 7,029 55.6 6,167 48.8 861 12.3 13.1 11.4 7,011 55.3 6,180 48.7 831 11.9 12.3 11.4 7,025 55.2 6,197 48.7 829 11.8 12.3 11.3 7,127 55.9 6,272 49.2 854 12.0 12.7 11.2 7,111 55.9 6,281 49.4 830 11.7 12.7 10.5 7,107 55.9 6,358 50.0 749 10.5 11.7 9.3 7,037 55.4 6,212 48.9 825 11.7 12.7 10.7 24,043 15,667 65.2 14,186 59.0 1,481 9.5 24,149 15,635 64.7 14,127 58.5 1,508 9.6 24,227 15,854 65.4 14,373 59.3 1,481 9.3 24,319 15,895 65.4 14,475 59.5 1,420 8.9 24,419 15,995 65.5 14,543 59.6 1,452 9.1 24,529 16,171 65.9 14,829 60.5 1,343 8.3 24,697 16,273 65.9 14,968 60.6 1,304 8.0 24,799 16,295 65.7 15,044 60.7 1,251 7.7 24,906 16,387 65.8 15,041 60.4 1,346 8.2 25,018 16,503 66.0 15,172 60.6 1,332 8.1 25,076 16,660 66.4 15,361 61.3 1,299 7.8 25,162 16,603 66.0 15,327 60.9 1,276 7.7 25,260 16,457 65.2 15,209 60.2 1,248 7.6 7,004 73.0 6,453 67.2 551 7.9 6,951 72.1 6,390 66.3 560 8.1 7,008 72.5 6,454 66.8 553 7.9 7,049 72.7 6,537 67.4 512 7.3 7,051 72.4 6,507 66.8 543 7.7 7,097 72.5 6,619 67.6 478 6.7 7,139 72.5 6,693 67.9 447 6.3 7,151 72.2 6,693 67.6 458 6.4 7,163 72.0 6,673 67.1 490 6.8 7,277 72.8 6,750 67.5 527 7.2 7,376 73.5 6,860 68.4 516 7.0 7,292 72.3 6,787 67.3 505 6.9 7,301 72.1 6,804 67.2 497 6.8 7,749 64.4 7,100 59.0 649 8.4 7,744 64.1 7,101 58.7 643 8.3 7,882 64.9 7,236 59.6 646 8.2 7,830 64.3 7,190 59.0 640 8.2 7,903 64.7 7,292 59.7 611 7.7 8,031 65.4 7,443 60.6 588 7.3 8,124 65.7 7,559 61.1 565 7.0 8,207 66.1 7,657 61.6 550 6.7 8,289 66.4 7,701 61.7 589 7.1 8,272 66.0 7,736 61.7 536 6.5 8,324 66.3 7,776 61.9 548 6.6 8,341 66.1 7,800 61.8 541 6.5 8,214 64.8 7,709 60.9 506 6.2 Women, 20 years and over Civilian labor force Percent of population Employed Employment-population ratio2 Unemployed Unemployment rate Both sexes, 16 to 19 years Civilian labor force Percent of population Employed Employment-population ratio2 Unemployed Unemployment rate Men Women BLACK Civilian noninstitutionai population1 Civilian labor force Percent of population Employed Employment-population ratio2 Unemployed Unemployment rate Men, 20 years and over Civilian labor force Percent of population Employed Employment-population ratio2 Unemployed Unemployment rate Women, 20 years and over Civilian labor force Percent of population Employed Employment-population ratio2 Unemployed Unemployment rate See footnotes at end of table. 137 HOUSEHOLD DATA SEASONALLY ADJUSTED QUARTERLY AVERAGES D-2. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic origin, seasonally adjusted — Continued (Numbers in thousands) Employment status, race, sex, age, and Hispanic origin 1997 1998 2000 1999 IV IV IV BLACK-Continued Both sexes, 16 to 19 years Civilian labor force Percent of population Employed Employment-population ratio2 Unemployed Unemployment rate Men Women 913 37.9 633 26.2 281 30.7 35.1 26.9 940 38.9 636 26.3 304 32.4 32.8 32.0 964 39.8 683 28.2 281 29.2 30.8 27.7 1,017 41.7 749 30.7 268 26.4 27.1 25.8 1,041 42.4 744 30.3 297 28.6 30.8 26.3 1,043 42.4 767 31.2 276 26.5 31.5 21.7 1,009 40.8 716 29.0 293 29.0 32.3 25.7 938 37.8 695 28.0 243 25.9 29.6 22.5 935 37.6 667 26.8 268 28.6 30.2 27.2 954 38.5 686 27.6 268 28.1 31.3 25.0 959 38.8 725 29.3 234 24.4 22.5 26.5 970 39.3 739 29.9 231 23.8 27.3 20.3 941 38.2 696 28.2 245 26.1 28.5 24.0 20,408 13,886 68.0 12,851 63.0 1,036 7.5 20,574 13,980 67.9 12,953 63.0 1,027 7.3 20,797 14,105 67.8 13,106 63.0 998 7.1 20,975 14,346 68.4 13,345 63.6 1,001 7.0 21,160 14,358 67.9 13,318 62.9 1,040 7.2 21,347 14,470 67.8 13,406 62.8 1,064 7.4 21,355 14,503 67.9 13,561 63.5 943 6.5 21,549 14,571 67.6 13,590 63.1 981 6.7 21,752 14,698 67.6 13,750 63.2 948 6.4 21,945 14,893 67.9 13,984 63.7 909 6.1 22,107 15,271 69.1 14,377 65.0 894 5.9 22,293 15,334 68.8 14,472 64.9 862 5.6 22,488 15,324 68.1 14,459 64.3 865 5.6 HISPANIC ORIGIN Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio2 Unemployed Unemployment rate 1 The population figures are not adjusted for seasonal variation. Employment as a percent of the civilian noninstitutional population. NOTE: Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups. Beginning in January 2000, data reflect revised population controls used in the household survey. 2 138 HOUSEHOLD DATA SEASONALLY ADJUSTED QUARTERLY AVERAGES D-3. Employment status of the civilian noninstitutional population 25 years and over by educational attainment, seasonally adjusted (Numbers in thousands) 1997 1998 2000 1999 Educational attainment III IV IV IV Less than a high school diploma Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 29,318 29,372 29,487 29,878 29,174 28,964 28,485 28,268 28,389 28,206 27,631 28,131 28,180 12,544 12,489 12,552 12,775 12,519 12,386 12,199 11,956 12,182 12,096 11,864 11,921 12,395 42.4 42.9 42.9 42.3 42.9 42.8 42.8 42.8 42.6 42.5 42.8 44.0 42.9 11,571 11,549 11,657 11,867 11,644 11,519 11,348 11,147 11,347 11,330 11,093 11,147 11,628 39.4 39.8 39.8 39.7 39.5 39.3 39.5 39.6 40.2 40.1 40.0 41.3 39.9 867 774 771 835 809 851 908 895 940 973 768 766 876 6.8 7.0 7.0 7.1 7.1 7.5 6.2 6.5 6.5 6.9 7.8 6.3 7.0 High school graduates, no college2 Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 57,557 57,467 57,636 57,545 57,564 57,351 57,448 57,946 57,292 57,551 57,757 57,781 57,090 37,910 37,718 37,728 37,319 37,382 37,435 37,467 37,418 37,052 37,371 37,631 37,267 36,763 64.9 65.2 65.5 65.6 65.9 65.2 64.7 64.6 65.3 64.9 64.4 64.5 64.9 36,333 36,213 36,172 35,864 35,899 35,990 36,147 36,052 35,745 36,130 36,334 35,985 35,494 62.2 62.4 62.4 62.8 62.8 63.0 63.1 62.9 62.9 62.3 62.2 62.3 62.8 1,577 1,297 1,307 1,366 1,483 1,444 1,320 1,455 1,556 1,506 1,281 1,241 1,269 3.4 3.7 4.0 4.1 4.0 4.2 3.4 3.5 3.9 3.5 3.9 3.5 3.3 Less than a bachelor's degree3 Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 42,266 42,372 42,186 42,069 41,968 42,819 43,365 42,860 43,231 43,975 44,133 44,100 44,510 31,514 31,457 31,334 31,359 31,259 31,693 32,122 31,983 32,042 32,306 32,636 32,948 33,021 74.2 74.5 74.0 74.3 74.6 74.7 73.9 74.1 74.6 74.1 74.5 74.2 73.5 30,508 30,474 30,344 30,446 30,346 30,772 31,184 31,100 31,101 31,453 31,750 32,068 32,117 71.9 71.9 71.9 72.2 72.6 72.3 71.9 72.4 72.2 72.7 71.9 71.9 71.5 921 983 883 913 938 913 990 1,005 904 880 887 942 853 2.9 2.9 3.2 3.1 3.2 2.7 2.7 2.9 2.8 2.9 2.9 2.7 2.6 College graduates Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 1 2 3 41,391 41,752 42,099 42,250 43,470 43,471 43,775 44,398 45,070 44,724 45,048 44,995 45,710 33,216 33,589 33,825 34,064 34,681 34,787 35,095 35,634 35,862 35,603 36,177 36,032 35,932 80.4 80.2 79.8 80.6 80.3 80.3 79.6 80.3 80.0 80.2 80.1 79.6 78.6 32,512 32,982 33,195 33,492 34,084 34,133 34,445 34,941 35,248 34,982 35,566 35,472 35,274 78.7 78.4 78.5 78.2 78.7 78.8 79.0 79.0 78.5 79.3 78.8 78.2 77.2 704 597 630 608 692 614 572 650 654 560 611 621 658 1.7 2.1 1.7 1.9 1.8 1.7 1.9 1.7 1.9 1.9 1.6 1.7 1.8 The population figures are not adjusted for seasonal variation. Includes high school diploma or equivalent. Includes the categories, some college, no degree; and associate degree. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 139 HOUSEHOLD DATA SEASONALLY ADJUSTED QUARTERLY AVERAGES D-4. Employed and unemployed full- and part-time workers by sex and age, seasonally adjusted (Numbers in thousands) Full- and part-time status, sex, and age 1998 1997 2000 1999 IV IV IV III EMPLOYED Full-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 106,915 107.213 107,548 107,942 108,346 108,981 109,930 109,989 110,090 111,222 112,155 112,550 112,238 62,478 62,711 62,765 63,113 63,233 63,647 63,919 63,732 63,864 64,207 64,848 64,959 65,130 61,204 61,385 61,473 61,767 61,877 62,233 62,537 62,315 62,427 62,782 63,459 63,428 63,641 44,456 44,489 44,732 44,815 45,188 45,326 45,947 46,254 46,302 46,992 47,200 47,569 47,193 43,543 43,583 43,763 43,866 44,125 44,431 45,057 45,286 45,329 45,941 46,244 46,502 46,141 2,318 2,499 2,336 2,168 2,245 2,312 2,309 2,620 2,388 2,334 2,344 2,452 2,456 22,995 7,366 5,283 15,654 13,288 4,424 23,305 7,432 5,247 15,865 23,309 7,515 5,319 15,790 13,275 4,716 23,106 23,281 7,468 5,241 7,493 13,490 4,568 23,346 7,541 5,330 15,791 13,286 4,730 Looking for full-time work Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 5,269 2,915 2,526 2,366 2,097 646 5,117 2,892 2,558 2,240 1,956 602 5,072 2,722 2,449 2,303 2,066 557 Looking for part-time work Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 1,325 569 230 752 451 645 1,277 525 227 742 469 581 Full-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 4.7 4.5 4.0 5.1 4.6 23.0 Part-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 5.4 7.2 4.2 4.6 3.3 12.7 Part-time workers Men, 16 years and over Men, 20 years and over Women, 16 years and over Women, 20 years and over Both sexes, 16 to 19 years 23,209 7,515 5,236 15,691 13,200 4,773 23,343 7,618 5,379 15,741 13,228 4,736 23,001 7,559 5,254 15,437 12,964 4,782 23,179 7,533 15,667 5,289 15,784 13.181 4,685 13,194 4,798 23,203 7,370 5,132 15,814 13,217 4,853 4,867 2,683 2,323 2,214 1,946 599 4,903 2,765 2,383 2,141 1,922 598 4,801 2,643 2,286 2,185 1,934 581 4,746 2,520 2,242 2,152 1,906 597 4,694 2,558 2,240 2,169 1,929 525 4,662 2,571 2,235 2,099 1,864 562 4,563 2,536 2,161 2,067 1,787 615 4,546 2,409 2,155 2,049 1,789 602 4,480 2,449 2,102 2,073 1,841 537 4,460 2,436 2,073 2,028 1,829 557 1,337 578 225 756 494 618 1,224 528 201 719 449 573 1,288 555 212 726 448 628 1,319 574 213 733 441 666 1,226 502 195 724 426 604 1,257 571 239 704 415 603 1,192 490 200 693 417 576 1,171 507 217 650 389 565 1,182 484 213 698 460 509 1,171 507 217 679 458 496 1,177 482 210 681 407 560 4.6 4.4 4.0 4.8 4.3 21.1 4.5 4.2 3.8 4.9 4.5 19.4 4.3 4.1 3.6 4.7 4.2 20.6 4.3 4.2 3.7 4.5 4.2 20.3 4.2 4.0 3.5 4.6 4.2 20.0 4.1 3.8 3.5 4.5 4.1 20.4 4.1 3.9 3.5 4.5 4.1 18.0 4.1 3.9 3.5 4.3 3.9 19.4 3.9 3.8 3.3 4.2 3.7 19.7 3.9 3.6 3.3 4.2 3.7 19.7 3.8 3.6 3.2 4.2 3.8 17.0 3.8 3.6 3.2 4.1 3.8 18.5 5.2 6.6 4.1 4.5 3.4 11.3 5.4 7.1 4.1 4.6 3.6 11.6 5.0 6.6 3.6 4.4 3.3 10.8 5.3 6.9 3.9 4.4 3.3 11.8 5.4 7.1 3.9 4.4 3.2 12.2 5.0 6.4 3.7 4.4 3.1 11.1 5.1 7.1 4.4 4.3 3.0 11.2 4.9 6.0 3.6 4.2 3.1 10.8 4.8 6.3 4.0 4.0 2.9 10.6 4.9 6.0 4.0 4.3 3.4 9.4 4.9 6.6 4.2 4.2 3.4 9.4 4.9 6.3 4.0 4.2 3.0 10.8 4,903 22,671 7,202 4,957 15,463 12,941 4,774 22,611 7,160 5,001 15,498 12,966 4,644 5,163 15,629 13,113 UNEMPLOYED UNEMPLOYMENT RATES1 1 These rates reflect a refined definition of the full- and part-time labor force and differ from the rates published elsewhere in this publication prior to 1994. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 140 HOUSEHOLD DATA SEASONALLY ADJUSTED QUARTERLY AVERAGES D-5. Employed persons by marital status, occupation, class of worker, and part-time status, seasonally adjusted (In thousands) 1997 2000 1999 1998 Category III IV I II III IV I II III IV MARITAL STATUS Total Married men, spouse present Married women, spouse present Women who maintain families 129,927 130,448 130,861 131,256 131,526 132,208 133,077 133,214 133,526 134,153 135,247 135,200 134,941 42,637 42,838 42,854 42,722 42,930 43,171 43,227 43,162 43,362 43,254 43,594 43,282 43,327 32,895 32,896 32,816 32,834 32,795 33,037 33,277 33,495 33,389 33,639 33,943 33,829 33,478 7,979 8,063 7,892 7,921 8,111 7,784 7,870 8,306 8,296 8,221 7,820 8,433 8,516 OCCUPATION Managerial and professional specialty .. 37,674 Technical, sales, and administrative 38,415 support 17,679 Service occupations Precision production, craft, and repair... 14,184 18,463 Operators, fabricators, and laborers 3,469 Farming, forestry, and fishing 38,017 38,328 38,650 39,089 39,676 39,849 40,588 40,802 40,627 40,775 40,890 40,895 38,569 17,849 14,184 18,362 3,455 38,467 17,894 14,347 18,441 3,408 38,496 17,710 14,625 18,329 3,483 38,702 17,768 14,279 18,072 3,565 38,429 17,979 14,407 18,179 3,528 38,912 18,051 14,639 18,225 3,449 38,844 17,987 14,378 17,957 3,475 38,727 17,947 14,471 18,112 3,399 39,206 17,678 14,893 18,372 3,380 39,609 18,404 14,604 18,333 3,589 39,496 18,385 14,752 18,301 3,418 39,077 17,893 15,218 18,463 3,368 1,825 1,488 50 1,919 1,331 40 1,932 1,373 45 2,091 1,343 33 2,042 1,312 35 1,922 1,353 38 1,928 1,357 36 1,926 1,252 44 2,001 1,231 40 2,031 1,318 44 2,040 1,233 44 2,048 1,242 39 CLASS OF WORKER Agriculture: Wage and salary workers Self-employed workers Unpaid family workers Nonagricultural industries: Wage and salary workers Private industries Private households Other industries Government Self-employed workers Unpaid family workers 1,860 1,480 47 117,490 118,049 118,554 118,843 118,939 119,774 120,894 121,081 121,307 122,015 123,053 123,162 122,815 99,293 99,883 100,311 100,539 100,606 101,123 102,098 102,229 102,232 103,122 103,718 104,086 104,158 894 953 915 944 951 979 920 1,010 911 976 944 989 778 98,378 98,963 99,300 99,560 99,695 100,170 101,204 101,285 101,281 102,179 102,729 103,110 103,379 18,198 18,166 18,243 18,304 18,333 18,651 18,797 18,852 19,075 18,893 19,335 19,075 18,658 8,768 8,911 8,789 8,870 8,893 8,710 8,926 8,911 9,019 9,000 8,727 8,766 8,666 115 109 71 90 120 85 98 106 106 93 102 91 101 PERSONS AT WORK PART TIME1 All industries: Part time for economic reasons Slack work or business conditions Could only find part-time work Part time for noneconomic reasons 4,023 2,201 1,499 17,961 3,951 2,248 1,393 18,275 3,877 2,174 1,392 18,483 3,749 2,125 1,293 18,469 3,586 2,094 1,190 18,583 3,424 1,972 1,153 18,679 3,474 2,018 1,145 18,629 3,393 1,978 1,093 18,720 3,293 1,933 1,060 19,005 3,258 1,936 1,017 18,689 3,161 1,840 996 18,897 3,163 1,872 1,005 18,397 3,141 1,982 857 18,574 Nonagricultural industries: Part time for economic reasons Slack work or business conditions Could only find part-time work Part time for noneconomic reasons 3,849 2,089 1,470 17,403 3,761 2,137 1,360 17,662 3,706 2,060 1,365 17,885 3,602 2,042 1,258 17,888 3,404 1,989 1,158 17,988 3,265 1,882 1,127 18,136 3,316 1,925 1,109 18,053 3,221 1,864 1,069 18,134 3,127 1,823 1,046 18,464 3,082 1,822 998 18,131 3,018 1,758 971 18,312 3,028 1,778 982 17,846 3,000 1,886 841 18,037 1 Persons at work excludes employed persons who were absent from their jobs during the entire reference week for reasons such as vacation, illness, or industrial dispute. Part time for noneconomic reasons excludes persons who usually work full time but worked only 1 to 34 hours during the reference week for reasons such as holidays, illness, and bad weather. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 141 HOUSEHOLD DATA SEASONALLY ADJUSTED QUARTERLY AVERAGES D-6. Employed persons by age and sex, seasonally adjusted (In thousands) 1997 1998 2000 1999 Age and sex IV Total, 16 years and over.... 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over IV IV 129,927 130,448 130,861 131,256 131,526 132,208 133,077 133,214 133,526 134,153 135,247 135,200 134,941 19,023 19,224 19,501 19,579 19,566 19,789 19,966 19,967 20,084 20,249 20,524 20,546 20,530 6,785 7,137 7,166 7,088 7,012 7,004 7,243 7,296 7,098 7,151 6,613 7,392 7,163 2,749 2,697 2,789 2,795 2,811 2,785 2,766 2,821 2,827 2,748 2,782 2,630 2,712 4,279 4,203 4,431 4,093 4,577 4,332 4,391 4,326 4,459 4,349 4,362 3,979 4,446 12,410 12,439 12,497 12,567 12,478 12,692 12,815 12,801 12,947 13,006 13,228 13,154 13,368 110,905 111,203 111,368 111,700 111,956 112,393 113,124 113,264 113,438 113,879 114,729 114,682 114,444 94,908 94,839 94,996 95,137 95,340 95,575 96,177 96,039 96,105 96,600 97,188 96,993 96,664 16,016 16,373 16,391 16,514 16,640 16,840 16,959 17,170 17,354 17,304 17,551 17,640 17,815 69,839 70,114 70,313 70,633 70,695 71,125 71,289 71,248 71,501 71,761 72,381 72,157 72,274 9,936 3,364 1,352 1,999 6,572 59,921 50,954 8,961 9,997 3,496 1,397 2,100 6,501 60,099 51,010 9,113 10,119 3,511 1,422 2,087 6,608 60,189 51,144 9,054 10,197 3,534 1,400 2,154 6,662 60,450 51,249 9,171 10,159 3,578 10,308 3,606 10,365 3,647 10,309 3,689 10,461 3,696 10,777 10,721 3,777 10,659 3,642 1,391 1,380 2,182 1,420 2,224 1,434 2,273 6,718 60,924 51,509 9,426 6,619 60,951 51,398 9,517 1,444 2,237 6,764 9,299 2,218 6,703 60,798 51,460 9,364 10,533 3,717 1,449 2,260 61,052 51,439 9,614 60,088 60,334 60,548 60,622 60,831 61,083 61,788 61,966 18 to 19 years 9,086 3,248 1,278 1,981 20 to 24 years 25 years and over 25 to 54 years 55 years and over 9,382 3,493 1,367 2,116 5,889 9,382 3,478 1,349 2,124 5,904 51,250 43,889 7,343 9,407 3,510 1,376 2,144 5,897 50,984 43,953 7,054 9,227 3,289 1,300 1,993 5,938 51,103 43,829 7,259 9,481 3,492 1,368 2,131 5,989 51,595 44,115 7,475 9,601 3,504 1,362 2,138 6,097 52,200 44,668 7,533 9,659 3,477 1,351 2,118 6,182 52,313 44,641 7,653 Men, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Women, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 5,838 51,178 43,852 7,337 6,581 60,548 51,252 51,408 44,088 7,340 NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 142 3,796 1,492 1,442 2,347 1,365 61,208 51,643 9,588 2,301 6,981 61,589 51,891 9,722 6,944 61,437 51,747 9,667 2,269 7,017 61,640 51,826 9,830 62,025 62,392 62,866 63,043 62,667 9,623 3,440 1,351 2,095 6,183 52,386 44,666 7,740 9,716 3,527 1,363 2,171 6,190 52,671 44,957 9,747 3,500 1,335 9,825 3,615 1,379 2,230 9,872 3,520 6,816 7,716 2,158 6,248 53,140 45,298 7,830 1,347 2,177 6,351 52,804 6,210 53,245 45,246 44,838 7,973 7,985 HOUSEHOLD DATA SEASONALLY ADJUSTED QUARTERLY AVERAGES D-7. Unemployed persons by age and sex, seasonally adjusted (In thousands) 1997 1999 1998 2000 Age and sex III Total, 16 years and over.... 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Men, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Women, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over II IV III I II III IV 6,614 6,387 6,412 6,076 6,207 6,114 5,981 5,930 5,868 5,727 5,733 5,627 5,652 2,374 1,296 598 699 1,078 4,260 3,755 502 2,332 1,168 566 608 1,163 4,048 3,575 468 2,348 1,183 589 584 1,165 4,067 3,617 460 2,228 1,174 550 627 1,054 3,842 3,406 432 2,348 1,231 568 667 1,118 3,869 3,400 464 2,205 1,232 584 649 973 3,899 3,394 501 2,240 1,212 559 643 1,028 3,741 3,249 501 2,171 1,128 544 587 1,043 3,754 3,247 505 2,175 1,141 525 621 1,034 3,701 3,208 486 2,235 1,164 547 618 1,071 3,492 3,026 469 2,195 1,124 502 613 1,071 3,543 3,044 513 2,120 1,032 480 555 1,088 3,494 3,071 428 2,057 1,122 533 592 935 3,600 3,129 478 3,475 3,404 3,362 3,169 3,309 3,195 3,106 3,086 3,046 3,019 2,984 2,907 2,913 1,318 708 313 392 611 2,170 1,896 277 1,294 624 306 319 670 2,107 1,819 285 1,303 685 338 340 618 2,053 1,778 274 1,220 650 308 350 570 1,948 1,699 249 1,320 706 331 374 614 2,000 1,735 270 1,220 701 344 355 519 1,972 1,682 286 1,198 666 302 359 532 1,900 1,626 271 1,197 616 306 317 581 1,887 1,620 269 1,166 605 281 324 561 1,890 1,602 291 1,223 644 290 352 579 1,796 1,534 259 1,164 616 276 335 548 1,814 1,542 269 1,153 595 277 325 559 1,750 1,506 248 1,141 621 285 335 519 1,775 1,522 261 3,139 2,983 3,051 2,907 2,898 2,918 2,875 2,844 2,822 2,708 2,749 2,720 2,739 1,056 589 285 307 467 2,090 1,858 225 1,038 544 259 289 494 1,941 1,756 183 1,046 498 251 244 547 2,014 1,839 186 1,008 524 242 277 484 1,894 1,707 183 1,028 524 236 293 504 1,869 1,666 194 985 531 240 294 454 1,927 1,712 215 1,042 546 257 284 496 1,841 1,623 230 974 512 238 270 462 1,867 1,628 236 1,009 535 244 297 474 1,811 1,605 194 1,012 520 257 266 492 1,696 1,492 211 1,031 508 226 278 523 1,729 1,502 243 967 438 204 230 529 1,743 1,565 180 916 501 249 257 415 1,824 1,607 217 N O T E : Beginning in January 2000, data reflect revised population controls IV used in the household survey. 143 HOUSEHOLD DATA SEASONALLY ADJUSTED QUARTERLY AVERAGES D-8. Unemployment rates by age and sex, seasonally adjusted (Percent) 1997 1998 2000 1999 Age and sex IV Total, 16 years and over.... 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Men, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Women, 16 years and over 16 to 24 years 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over IV 4.8 4.7 4.7 4.4 4.5 4.4 4.3 4.3 4.2 4.1 4.1 4.0 4.0 11.1 16.4 18.5 14.9 8.0 3.7 3.8 3.0 10.8 14.7 17.3 12.9 8.6 3.5 3.6 2.8 10.7 14.5 17.4 12.2 8.5 3.5 3.7 2.7 10.2 14.3 16.7 12.8 7.7 3.3 3.5 2.5 10.7 14.8 17.0 13.4 8.2 3.3 3.4 2.7 10.0 14.8 17.5 13.0 7.1 3.4 3.4 2.9 10.1 14.5 16.7 12.8 7.4 3.2 3.3 2.9 9.8 13.6 16.3 11.8 7.5 3.2 3.3 2.9 9.8 13.8 15.8 12.5 7.4 3.2 3.2 2.7 9.9 13.8 16.3 12.2 7.6 3.0 3.0 2.6 9.7 13.4 15.1 12.1 7.5 3.0 3.0 2.8 9.4 12.3 14.5 10.8 7.6 3.0 3.1 2.4 9.1 13.5 16.4 11.7 6.5 3.0 3.1 2.6 4.7 4.6 4.6 4.3 4.5 4.3 4.2 4.2 4.1 4.0 4.0 3.9 3.9 11.7 17.4 18.8 16.4 8.5 3.5 3.6 3.0 11.5 15.1 18.0 13.2 9.3 3.4 3.4 3.0 11.4 16.3 19.2 14.0 8.6 3.3 3.4 2.9 10.7 15.5 18.0 14.0 7.9 3.1 3.2 2.6 11.5 16.5 19.2 14.6 8.5 3.2 3.3 2.8 10.6 16.3 20.0 13.8 7.2 3.1 3.2 3.0 10.4 15.4 17.6 13.9 7.3 3.0 3.1 2.8 10.4 14.3 17.6 12.3 8.1 3.0 3.1 2.8 10.0 14.1 16.3 12.7 7.7 3.0 3.0 2.9 10.4 14.8 16.7 13.5 7.8 2.9 2.9 2.6 9.7 14.0 15.6 12.7 7.3 2.9 2.9 2,7 9.7 13.6 16.1 12.2 7.4 2.8 2.8 2.5 9.7 14.6 17.3 12.9 6.9 2.8 2.9 2.6 5.0 4.7 4.8 4.6 4.5 4.6 4.4 4.4 4.4 4.2 4.2 4.1 4.2 10.4 15.3 18.2 13.4 7.4 3.9 4.1 10.1 14.2 16.6 12.7 7.7 3.7 3.9 2.5 10.0 12.5 15.5 10.3 8.5 3.8 4.0 2.5 9.7 13.1 15.2 11.5 7.6 3.6 3.7 2.4 9.9 13.0 14.7 12.0 7.9 3.5 3.6 2.6 9.4 13.2 14.9 12.1 7.0 3.6 3.7 2.8 9.8 13.5 15.9 11.7 7.5 3.4 3.5 3.0 9.2 12.8 15.0 11.3 6.9 3.4 3.5 3.0 9.5 13.5 15.3 12.4 7.1 3.3 3.5 2.4 9.4 12.9 15.9 10.9 7.4 3.1 3.2 2.7 9.6 12.7 14.5 11.4 7.7 3.2 3.2 3.0 9.0 10.8 12.9 9.4 7.9 3.2 3.3 2.2 8.5 12.5 15.6 10.6 6.1 3.3 3.5 2.6 3.1 NOTE: Beginning in January 2000, data reflect revised population controls IV used in the household survey. 144 HOUSEHOLD DATA SEASONALLY ADJUSTED QUARTERLY AVERAGES D-9. Unemployment rates by occupation, industry, and selected demographic characteristics, seasonally adjusted (Percent) 1997 1998 1999 2000 Category IV IV IV CHARACTERISTIC 13.8 4.1 3.4 3.6 13.8 4.1 3.3 3.6 13.4 4.0 3.3 3.7 12.3 4.0 3.2 3.6 13.5 3.8 6.8 7.7 6.7 3.7 7.1 8.2 6.4 3.5 7.1 8.1 6.1 3.5 6.8 7.8 5.9 3.4 6.8 7.7 5.6 3.5 6.6 7.6 5.6 2.3 2.8 6.5 2.3 2.7 6.5 2.2 2.7 6.4 2.2 2.5 6.1 2.0 2.7 6.4 1.8 2.7 6.3 2.0 2.8 5.6 1.9 3.8 3.8 6.6 6.6 1.9 3.8 3.9 6.1 7.3 2.0 3.6 4.2 6.3 7.3 1.8 3.7 4.1 6.3 6.1 1.8 3.6 3.9 6.2 6.1 1.7 3.5 3.9 6.2 5.2 1.7 3.6 3.5 6.4 5.9 1.9 3.7 3.4 6.3 5.8 4.5 4.6 3.6 6.8 3.9 3.3 4.8 4.5 3.2 5.4 2.7 4.5 2.2 8.0 4.3 4.6 6.3 7.2 3.6 3.2 4.1 4.2 2.9 5.3 2.3 4.2 2.2 9.7 4.3 4.6 6.4 7.3 3.6 3.4 3.9 4.3 3.0 5.3 2.6 4.1 2.4 9.7 4.3 4.7 5.6 7.1 3.7 3.8 3.7 4.2 3.1 5.1 2.3 4.2 2.1 8.1 4.2 4.4 4.5 6.3 3.6 3.6 3.7 4.1 3.1 5.2 2.2 3.9 2.1 7.7 4.2 4.4 3.0 6.9 3.5 2.9 4.3 4.2 3.3 5.3 2.6 4.0 2.0 5.7 4.1 4.2 3.5 5.6 3.7 3.7 3.7 4.0 2.9 5.1 2.4 3.8 2.1 7.8 4.1 4.4 5.2 6.3 3.6 3.2 4.2 4.0 3.2 4.9 2.2 3.8 2.2 7.8 4.8 4.0 4.3 16.4 4.7 4.0 4.1 14.7 4.7 3.9 4.3 14.5 4.4 3.6 4.0 14.3 4.5 3.7 4.0 14.8 4.4 3.6 4.0 14.8 4.3 3.5 3.8 14.5 4.3 3.5 3.8 13.6 White Black and other Black Hispanic origin 4.2 8.3 9.5 7.5 4.0 8.4 9.6 7.3 4.0 8.1 9.3 7.1 3.8 7.7 8.9 7.0 3.9 7.8 9.1 7.2 3.8 7.3 8.3 7.4 3.7 7.1 8.0 6.5 Married men, spouse present Married women, spouse present Women who maintain families 2.6 3.1 7.8 2.5 2.9 7.9 2.5 3.1 7.6 2.3 2.8 7.3 2.3 2.9 7.1 2.3 2.8 6.7 2.0 4.1 4.7 7.4 6.9 1.8 4.0 4.8 6.9 7.2 1.9 4.0 4.5 6.6 6.6 1.7 3.8 4.1 6.6 6.1 1.8 3.8 4.3 6.8 6.8 4.9 5.2 4.0 8.8 4.1 3.3 5.2 4.8 3.6 6.1 3.1 4.5 2.6 9.2 4.7 4.9 4.0 8.5 3.7 3.2 4.5 4.7 3.2 6.0 2.6 4.4 2.4 9.7 4.7 4.9 3.1 8.2 3.9 3.4 4.6 4.7 3.5 5.7 2.6 4.6 2.5 9.1 4.5 4.6 2.8 7.4 3.7 3.2 4.6 4.5 3.3 5.4 2.2 4.6 2.1 7.9 4.7 4.9 3.4 7.6 4.0 3.6 4.5 4.6 3.4 5.6 2.4 4.5 2.3 8.0 Total Men, 20 years and over Women, 20 years and over Both sexes, 16 to 19 years 4.2 3.5 3.8 OCCUPATION1 Managerial and professional specialty Technical, sales, and administrative support Precision production, craft, and repair Operators, fabricators, and laborers Farming, forestry, and fishing INDUSTRY Nonagricultural private wage and salary workers Goods-producing industries Mining Construction Manufacturing , Durable goods Nondurable goods Service-producing industries Transportation and public utilities Wholesale and retail trade Finance, insurance, and real estate , Services Government workers Agricultural wage and salary workers , 1 Seasonally adjusted data for service occupations are not available because the seasonal component, which is small relative to the trend-cycle and/or irregular components, cannot be separated with sufficient precision. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 145 HOUSEHOLD DATA SEASONALLY ADJUSTED QUARTERLY AVERAGES D-10. Unemployed persons by reason for unemployment, seasonally adjusted (Numbers in thousands) 1997 1998 2000 1999 Reason IV IV IV NUMBER OF UNEMPLOYED Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff Job leavers Reentrants New entrants 2,930 850 2,080 845 2,246 569 2,924 923 2,001 714 2,207 541 2,894 896 1,998 778 2,208 531 2,781 796 1,985 698 2,094 524 2,817 905 1,913 749 2,130 496 2,787 857 1,930 710 2,093 529 2,692 850 1,842 751 2,035 488 2,681 852 1,829 807 2,037 424 2,624 870 1,754 773 1,971 481 2,471 816 1,655 808 1,976 483 2,545 786 1,759 786 1,999 405 2,413 852 1,561 759 2,043 417 2,514 873 1,641 776 1,885 442 44.5 12.9 31.6 12.8 34.1 8.6 45.8 14.4 31.3 11.2 34.6 8.5 45.1 14.0 31.2 12.1 34.4 8.3 45.6 13.1 32.6 11.5 34.3 8.6 45.5 14.6 30.9 12.1 34.4 8.0 45.5 14.0 31.5 11.6 34.2 8.6 45.1 14.2 30.9 12.6 34.1 8.2 45.1 14.3 30.7 13.6 34.2 7.1 44.9 14.9 30.0 13.2 33.7 8.2 43.1 14.2 28.8 14.1 34.4 8.4 44.4 13.7 30.7 13.7 34.9 7.1 42.8 15.1 27.7 13.5 36.3 7.4 44.8 15.5 29.2 13.8 33.6 7.9 2.1 2.1 .5 1.6 .4 2.1 2.0 .5 1.5 .4 2.0 .5 1.5 .4 2.0 .5 1.5 .4 1.9 .5 1.5 .4 1.9 .6 1.5 .3 1.9 .6 1.4 .3 1.8 .6 1.4 .3 1.8 .6 1.4 .3 1.7 .5 1.5 .3 1.8 .6 1.3 .3 PERCENT DISTRIBUTION Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff Job leavers Reentrants New entrants UNEMPLOYED AS A PERCENT OF THE CIVILIAN LABOR FORCE Job losers and persons who completed temporary jobs Job leavers Reentrants New entrants 1.6 .4 1.6 .4 NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. D-11. Unemployed persons by duration of unemployment, seasonally adjusted (Numbers in thousands) 1998 1997 2000 1999 Duration IV IV IV NUMBER OF UNEMPLOYED Less than 5 weeks 5 to 14 weeks 15 weeks and over 15 to 26 weeks 27 weeks and over Average (mean) duration, in weeks 2,470 2,098 2,065 988 1,077 2,522 1,982 1,905 915 990 2,657 1,936 1,798 838 961 2,598 1,992 1,533 701 832 2,608 1,971 1,620 765 854 2,642 1,912 1,587 745 843 2,501 1,940 1,499 761 738 2,594 1,825 1,542 795 748 2,607 1,794 1.462 745 717 2,589 1,755 1,408 712 695 2,624 1,779 1,315 666 649 2,527 1,860 1,276 647 630 2,517 1,792 1,314 645 668 16.1 8.1 15.8 7.6 15.2 7.0 14.5 6.5 14.1 6.7 14.1 6.5 13.6 6.8 13.6 6.3 13.2 6.0 13.0 6.1 12.8 5.9 12.5 5.9 12.8 5.8 100.0 37.2 31.6 31.1 14.9 16.2 100.0 39.4 30.9 29.7 14.3 15.4 100.0 41.6 30.3 28.1 13.1 15.0 100.0 42.4 32.5 25.0 11.4 13.6 100.0 42.1 31.8 26.1 12.3 13.8 100.0 43.0 31.1 25.8 12.1 13.7 100.0 42.1 32.7 25.2 12.8 12.4 100.0 43.5 30.6 25.9 13.3 12.5 100.0 44.5 30.6 24.9 12.7 12.2 100.0 45.0 30.5 24.5 12.4 12.1 100.0 45.9 31.1 23.0 11.6 11.4 100.0 44.6 32.8 22.5 11.4 11.1 100.0 44.8 31.9 23.4 11.5 11.9 Median duration, in weeks PERCENT DISTRIBUTION Total unemployed Less than 5 weeks 5 to 14 weeks 15 weeks and over 15 to 26 weeks 27 weeks and over NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 146 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-12. Employment status of the civilian noninstitutional population by sex, age, race, and Hispanic origin (Numbers in thousands) Total Employment status, sex, and age Black White Hispanic origin III 1999 III 2000 III 1999 2000 III 1999 2000 1999 III 2000 208,044 140,142 67.4 134,207 3,528 130,679 5,935 4.2 67,902 209,941 141,295 67.3 135,577 3,634 131,943 5,718 4.0 68,647 173,280 117,063 67.6 112,837 3,326 109,511 4,226 3.6 56,217 174,592 117,929 67.5 113,824 3,410 110,414 4,105 3.5 56,662 24,906 16,572 66.5 15,138 122 15,017 1,433 8.6 8,334 25,260 16,621 65.8 15,290 150 15,139 1,331 8.0 8,639 21,752 14,783 68.0 13,819 799 13,020 964 6.5 6,969 22,488 15,391 68.4 14,507 804 13,703 884 5.7 7,097 Men, 16 years and over Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 99,867 75,174 75.3 72,251 2,612 69,639 2,923 3.9 24,692 100,852 75,804 75.2 73,008 2,717 70,292 2,796 3.7 25,047 84,031 64,008 76.2 61,877 2,450 59,428 2,131 33 20,023 84,732 64,349 75.9 62,347 2,528 59,819 2,002 3.1 20,382 11,167 7,724 69.2 7,075 106 6,969 649 8.4 3,444 11,339 7,841 69.1 7,193 131 7,062 648 8.3 3,498 10,760 8,621 80.1 8,151 686 7,465 471 5.5 2,139 11,109 8,962 80.7 8,539 693 7,846 424 4.7 2,147 Men, 20 years and over Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 91,682 70,469 76.9 68,166 2,381 65,786 2,302 3.3 21,213 92,753 71,139 76.7 68,976 2,478 66,497 2,163 3.0 21,615 77,512 60,016 77.4 58,327 2,227 56,101 1,689 2.8 17,495 78,240 60,355 77.1 58,808 2,297 56,510 1,547 2.6 17,885 9,946 7,198 72.4 6,706 102 6,604 492 6.8 2,748 10,128 7,326 72.3 6,827 125 6,702 499 6.8 2,802 9,564 7,983 83.5 7,616 643 6,973 366 4.6 1,581 9,902 8,324 84.1 8,016 652 7,364 308 3.7 1,578 Women, 16 years and over Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 108,177 64,968 60.1 61,956 916 61,040 3,012 4.6 43,209 109,090 65,490 60.0 62,569 917 61,652 2,921 4.5 43,599 89,249 53,055 59.4 50,960 876 50,084 2,095 3.9 36,194 89,860 53,580 59.6 51,477 882 50,596 2,103 3.9 36,280 13,738 8,848 64.4 8,063 16 8,048 784 8.9 4,890 13,920 8,780 63.1 8,096 19 8,077 684 7.8 5,140 10,992 6,162 56.1 5,668 114 5,555 493 8.0 4,830 11,379 6,428 56.5 5,968 111 5,857 460 7.2 4,950 Women, 20 years and over Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 100,291 60,677 60.5 58,228 856 57,372 2,449 4.0 39,614 101,214 61,159 60.4 58,765 852 57,913 2,394 3.9 40,055 83,031 49,453 59.6 47,746 818 46,928 1,707 3.5 33,579 83,653 49,971 59.7 48,236 821 47,415 1,735 3.5 33,682 12,475 8,305 66.6 7,670 14 7,656 635 7.6 4,170 12,668 8,217 64.9 7,673 17 7,655 545 6.6 4,450 9,870 5,679 57.5 5,285 106 5,179 394 6.9 4,191 10,241 5,940 58.0 5,576 106 5,470 365 6.1 4,301 Both sexes, 16 to 19 years Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 16,071 8,997 56.0 7,813 292 7,521 1,184 13.2 7,074 15,974 8,997 56.3 7,836 304 7,533 1,161 12.9 6,977 12,737 7,594 59.6 6,764 281 6,483 830 10.9 5,143 12,700 7,604 59.9 6,781 292 6,489 823 10.8 5,096 2,485 1,069 43.0 762 6 756 307 28.7 1,415 2,464 1,077 43.7 790 8 782 287 26.7 1,386 2,318 1,121 48.4 917 50 868 203 18.2 1,197 2,345 1,127 48.0 915 46 869 211 18.8 1,219 TOTAL Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force NOTE: Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups. Beginning in January 2000, data reflect revised population controls used in the household survey. 147 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-13. Employment status of the Mexican, Puerto Rican, and Cuban-origin population by sex and age (Numbers in thousands) Total Hispanic origin1 Employment status, sex, and age Mexican origin Puerto Rican origin C u b a n origin III III III III III III III III 1999 2000 1999 2000 1999 2000 1999 2000 Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 21.752 14,783 68.0 13,819 799 13,020 964 6.5 6,969 22,488 15.391 68.4 14.507 804 13.703 884 5.7 7.097 13,578 9,240 68.1 8,657 726 7,930 583 6.3 4,338 14,462 10,012 69.2 9,422 728 8,694 590 5.9 4,450 2,040 1,261 61.8 1,156 10 1,146 105 8.3 778 1,941 1,186 61.1 1,107 15 1,092 79 6.7 754 1,194 758 63.4 718 5 713 39 5.2 437 1,147 716 62.4 682 5 677 33 4.6 431 Men, v6 years and over Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 10,760 8.621 80.1 8.151 686 7465 471 5.5 2,139 11,109 8.962 80.7 8.539 693 7,846 424 4.7 2,147 6,928 5,636 81.4 5.332 622 4,709 305 5.4 1S292 7,409 6,108 82.4 5,815 624 5,192 293 4.8 1,301 958 669 69.9 624 10 614 46 6.8 289 853 598 70.1 563 15 547 35 5.9 255 601 462 77.0 439 4 435 23 5.0 138 578 412 71.3 395 5 389 18 4.3 166 Men, 20 years and over Civilian noninstitutional population Civilian labor force , Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 9,564 7,983 83.5 7,616 643 6,973 366 4.6 1,581 9.902 8,324 84.1 8,016 652 7,364 308 3.7 1,578 6,104 5,165 84.6 4,933 584 4,350 232 4.5 939 6,544 5,629 86.0 5,421 586 4,834 208 3.7 916 850 620 72.9 586 10 576 34 5.5 231 769 556 72.3 528 15 513 28 5.0 213 566 450 79.5 431 4 426 20 4.3 116 546 407 74.5 392 5 386 15 3.7 139 Women, 16 years and over Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 10,992 6,162 56.1 5,668 114 5.555 493 8.0 4.830 11,379 6,428 56.5 5,968 111 5,857 460 7.2 4,950 6,649 3,603 54.2 3,325 104 3,221 278 7.7 3,046 7,053 3,903 55.3 3,606 104 3,502 297 7.6 3,149 1,082 592 54.7 533 1 532 59 10.0 490 1,088 589 54.1 545 545 44 7.4 499 593 295 49.7 279 1 278 16 5.4 298 569 303 53.3 288 288 16 5.1 266 Women, 20 years and over Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 9,870 5,679 57.5 5,285 106 5,179 394 6.9 4,191 10,241 5,940 58.0 5,576 106 5,470 365 6.1 4,301 5,853 3,264 55.8 3,056 98 2.959 208 6.4 2,588 6,213 3,546 57.1 3,319 99 3,220 227 6.4 2,668 985 554 56.2 505 1 504 49 8.8 432 994 550 55.4 515 515 36 6.5 443 565 284 50.2 269 1 268 15 5.1 281 534 289 54.2 276 276 14 4.7 245 Both sexes, 16 to 19 years Civilian noninstitutional population Civilian labor force Percent of population Employed Agriculture Nonagricultural industries Unemployed Unemployment rate Not in labor force 2,318 1,121 48.4 917 50 868 203 18.2 1.197 2,345 1,127 48.0 915 46 869 211 18.8 1,219 1,621 810 50.0 667 45 622 143 17.6 811 1,704 838 49.2 682 43 640 156 18.6 867 204 88 43.1 66 66 22 25.0 116 177 80 45.1 64 64 16 19.5 97 63 24 37.9 19 _ 19 5 (2) 39 67 20 29.2 15 15 5 (2) 47 TOTAL 1 Includes persons of Central or South American origin and of other Hispanic origin, not shown separately. * Data not shown where base is less than 60,000. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 148 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-14. Employed white, black, and Hispanic-origin workers by sex, occupation, class of worker, and full- or part-time status (Numbers in thousands) Total Black White Category Hispanic origin 1999 2000 1999 2000 III 1999 III 2000 1999 III 2000 134,207 72,251 61,956 135,577 73,008 62,569 112,837 61,877 50,960 113,824 62,347 51,477 15,138 7,075 8,063 15,290 7,193 8,096 13,819 8,151 5,668 14,507 8,539 5,968 Managerial and professional specialty Executive, administrative, and managerial Professional specialty 40,644 19,623 21,021 40,762 19,658 21,103 35,242 17,295 17,947 35,124 17,319 17,805 3,256 1,456 1,800 3,385 1,496 1,889 1,975 1,052 922 2,001 1,044 957 Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical 38,825 4,468 16,090 18,267 39,129 4,382 16,290 18,458 32,704 3,738 13,990 14,976 32,949 3,582 14,143 15,224 4,393 479 1,356 2,558 4,422 502 1,456 2,464 3,329 274 1,259 1,796 3,421 285 1,353 1,783 Service occupations Private household Protective service Service, except private household and protective 18,203 873 2,553 14,777 18,094 722 2,462 14,910 13,962 727 1,947 11,287 14,056 594 1,957 11,504 3,282 118 521 2,643 3,202 104 438 2,659 2,730 260 204 2,265 2,866 240 217 2,410 Precision production, craft, and repair Mechanics and repairers Construction trades Other precision production, craft, and repair 14,488 4,819 5,837 3,832 15,249 4,942 6,440 3,867 12,834 4,210 5,327 3,296 13,441 4,332 5,830 3,279 1,139 391 391 356 1,154 381 426 347 1,844 471 880 494 2,065 512 1,053 500 Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Construction laborers Other handlers, equipment cleaners, helpers, and laborers 18,240 7,327 5,561 5,352 953 4,399 18,587 7,255 5,715 5,617 1,122 4,495 14,577 5,728 4,529 4,320 831 3,489 14,791 5,672 4,582 4,537 975 3,562 2,878 1,206 874 798 93 705 2,928 1,112 955 861 124 737 3,086 1,404 672 1,010 235 775 3,270 1,445 690 1,134 313 822 3,807 3,755 3,519 3,463 191 199 855 883 2,113 1,362 53 2,251 1,337 46 1,966 1,308 52 2,093 1,271 46 89 33 114 36 702 95 2 738 65 121,637 18,726 102,912 978 101,933 8,955 87 123,090 18,305 104,785 798 103,987 8,758 95 101,426 14,928 86,499 796 85,703 8,024 62 102,535 14,743 87,792 647 87,145 7,792 87 14,531 2,959 11,572 149 11,423 483 2 14,578 2,773 11,805 127 11,677 560 2 12,321 1,403 10,918 270 10,648 693 6 13,010 1,388 11,622 247 11,375 673 20 111,871 22,336 113,950 21,627 93,478 19,359 94,981 18,843 13,061 2,077 13,397 1,893 11,893 1,926 12,636 1,871 SEX Total (all civilian workers) Men Women OCCUPATION Farming, forestry, and fishing CLASS OF WORKER Agriculture: Wage and salary workers Self-employed workers Unpaid family workers Nonagricultural industries: Wage and salary workers Government Private industries Private households Other industries Self-employed workers Unpaid family workers FULL- OR PART-TIME STATUS Full-time workers Part-time workers NOTE: Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups. Beginning in January 2000, data reflect revised population controls used in the household data. 149 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-15. Employed Mexican, Puerto Rican, and Cuban-origin workers by sex, occupation, class of worker, and full- or part-time status (In thousands) Total Hispanic origin1 Mexican origin Puerto Rican origin Cuban origin Category III 1999 III 2000 1999 III 2000 III 1999 III 2000 13,819 8,151 5,668 14,507 8,539 5,968 8,657 5,332 3,325 9,422 5,815 3,606 1,156 624 533 1,107 563 545 718 439 279 682 395 288 Managerial and professional specialty Executive, administrative, and managerial Professional specialty 1,975 1,052 922 2,001 1,044 957 976 515 461 1,098 578 520 189 103 86 184 100 83 191 102 89 159 69 90 Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical 3,329 274 1,259 1,796 3,421 285 1,353 1,783 1,896 158 709 1,029 1,995 160 786 1,049 379 30 119 230 383 32 130 221 202 17 73 112 219 20 94 105 Service occupations Private household Protective service Service, except private household and protective 2,730 260 204 2,265 2,866 240 217 2,410 1,685 144 88 1,453 1,793 132 113 1,548 227 4 48 174 206 4 34 168 95 93 13 83 16 77 Precision production, craft, and repair Mechanics and repairers Construction trades Other precision production, craft, and repair 1,844 471 880 494 2,065 512 1,053 500 1,272 302 628 342 1,461 317 787 358 122 37 41 44 100 36 44 21 92 38 46 8 103 41 45 17 Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Construction laborers Other handlers, equipment cleaners, helpers, and laborers 3,086 1,404 672 1,010 235 775 3,270 1,445 690 1,134 313 822 2,068 960 385 723 182 542 2,289 995 469 826 244 582 220 97 60 63 6 57 215 108 49 57 7 50 132 51 47 34 7 27 100 38 26 36 6 31 855 883 759 786 19 20 6 9 702 95 2 738 65 643 81 2 678 50 10 1 15 12,321 1,403 10,918 270 10,648 693 6 13,010 1,388 11,622 247 11,375 673 20 7,560 861 6,699 148 6,551 368 2 8,308 900 7,408 134 7,274 375 11 1,101 173 927 5 922 45 1,055 152 903 4 899 37 670 92 579 633 88 545 579 43 545 44 11,893 1,926 12,636 1,871 7,447 1,209 8,224 1,198 1,001 156 950 157 627 91 610 73 III 2000 III 1999 SEX Total (all civilian workers) Men Women OCCUPATION Farming, forestry, and fishing CLASS OF WORKER Agriculture: Wage and salary workers Self-employed workers Unpaid family workers Nonagricultural industries: Wage and salary workers Government Private industries Private households Other industries Self-employed workers Unpaid family workers FULL- OR PART-TIME STATUS Full-time workers Part time workers 1 Includes persons of Central or South American origin and of other Hispanic origin, not shown separately. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 150 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-16. Employed persons by age, sex, race, and Hispanic origin (In thousands) White Total Age and sex Total, 16 years and over.... 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Men, 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Women, 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over NOTE: Hispanic origin 1999 2000 III 1999 III 2000 III 1999 III 2000 134,207 135,577 112,837 113,824 15,138 15,290 13,819 14,507 7,813 3,195 4,618 13,190 113,204 95,978 17,226 7,836 3,110 4,727 13,590 114,150 96,458 17,693 6,764 2,775 3,989 10,962 95,111 79,886 15,224 6,781 2,709 4,072 11,326 95,718 80,181 15,537 762 299 463 1,660 12,716 11,327 1,389 790 312 478 1,637 12,862 11,391 1,471 917 312 605 1,893 11,009 9,925 1,084 915 267 648 2,030 11,562 10,371 1,190 72,251 73,008 61,877 62,347 7,075 7,193 8,151 8,539 4,085 1,680 2,405 6,961 61,205 51,616 9,590 4,032 1,598 2,434 7,197 61,779 51,968 9,811 3,550 1,445 2,105 5,938 52,389 43,810 8,579 3,539 1,408 2,131 6,105 52,703 43,994 8,709 369 158 211 753 5,953 5,290 663 366 153 214 757 6,070 5,352 717 535 187 347 1,162 6,455 5,835 619 523 142 381 1,252 6,763 6,051 712 61,956 62,569 50,960 51,477 8,063 8,096 5,668 5,968 3,728 1.515 2,213 6,229 51,999 44,362 7,637 3,804 1,511 2,293 6,393 52,372 44,490 .7,882 3,214 1,330 1,884 5,024 42,722 36,077 6,645 3,241 1,301 1,940 5,221 43,015 36,188 6,828 393 141 252 907 6,763 6,037 726 424 159 264 880 6,792 6,039 754 383 125 258 731 4,554 4,090 464 392 126 267 778 4,798 4,320 478 Beginning in January 2000, data reflect revised population Black controls used in the household survey. 151 III 2000 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-17. Unemployment rates by age, sex, race, and Hispanic origin White Total Age and sex Total, 16 years and over.... 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Men, 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over Women, 16 years and over 16 to 19 years 16 to 17 years 18 to 19 years 20 to 24 years 25 years and over 25 to 54 years 55 years and over NOTE: III 1999 III 1999 III 2000 III 1999 III 2000 III 1999 III 2000 4.2 4.0 3.6 3.5 8.6 8.0 6.5 5.7 13.2 14.2 12.4 7.5 3.1 3.2 2.8 12.9 14.7 11.7 6.7 3.0 3.1 2.7 10.9 12.3 10.0 6.2 2.7 2.8 2.6 10.8 12.7 9.5 5.3 2.7 2.7 2.5 28.7 28.8 28.6 15.3 6.1 6.3 4.8 26.7 28.5 25.4 14.6 5.6 5.8 4.0 18.2 20.4 16.9 8.7 5.0 5.0 4.8 18.8 25.8 15.5 7.2 4.3 4.2 4.6 3.9 3.7 3.3 3.1 8.4 8.3 5.5 4.7 13.2 14.2 12.5 7.2 2.8 2.8 2.9 13.6 15.0 12.6 6.6 2.6 2.6 2.5 11.1 12.6 10.0 6.1 2.4 2.4 2.7 11.4 13.1 10.2 5.2 2.2 2.2 2.4 29.8 28.2 31.0 15.2 5.7 5.8 4.6 28.9 27.7 29.6 15.8 5.5 5.8 3.7 16.3 17.9 15.4 7.8 4.0 3.9 5.1 18.1 25.2 15.1 5.8 3.3 3.2 4.2 4.6 4.5 3.9 3.9 8.9 7.8 8.0 7.2 13.1 14.2 12.4 7.8 3.6 3.7 2.7 12.2 14.4 10.7 6.7 3.6 3.7 2.8 10.8 12.0 9.9 6.4 3.1 3.2 2.5 10.2 12.2 8.8 5.4 3.2 3.3 2.7 27.6 29.4 26.6 15.4 6.5 6.7 5.0 24.7 29.2 21.7 13.6 5.6 5.8 4.2 20.6 23.9 18.9 10.0 6.4 6.7 4.3 19.6 26.4 16.0 9.4 5.6 5.6 5.1 Beginning in January 2000, data reflect revised population Hispanic origin Black III 2000 controls used in the household survey. 152 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-18. Unemployed persons by reason for unemployment, race, and Hispanic origin (Numbers in thousands) Total Reasons White Hispanic origin Black III 1999 1999 III 2000 III 1999 III 2000 III 1999 III 2000 5,935 2,529 755 1,773 1,225 548 851 2,018 537 5,718 2,430 775 1,655 1,121 534 851 1,928 509 4,226 1,843 599 1,244 886 358 680 1,366 337 4,105 1,800 619 1,181 812 369 663 1,326 317 1,433 562 121 441 275 166 146 564 161 1,331 524 126 397 270 127 160 496 152 964 433 135 299 207 92 107 306 117 884 360 119 240 136 105 114 292 118 42.6 12.7 29.9 14.3 34.0 9.1 42.5 13.6 28.9 14.9 33.7 8.9 43.6 14.2 29.4 16.1 32.3 8.0 43.8 15.1 28.8 16.* 32.3 7.7 39.2 8.4 30.8 10.2 39.4 11.3 39.3 9.5 29.9 12.0 37.3 11.4 45.0 14.0 31.0 11.1 31.7 12.2 40.7 13.5 27.2 12.9 33.0 13.4 1.8 .6 1.4 .4 1.7 .6 1.4 .4 1.6 .6 1.2 .3 1.5 .6 1.1 .3 3.4 .9 3.4 1.0 3.2 1.0 3.0 .9 2.9 .7 2.1 .8 2.3 .7 1.9 .8 II! 2000 NUMBER OF UNEMPLOYED Total unemployed Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff Permanent job losers Persons who completed temporary jobs Job leavers Reentrants New entrants PERCENT DISTRIBUTION Job losers and persons who completed temporary jobs On temporary layoff Not on temporary layoff Job leavers Reentrants New entrants UNEMPLOYED AS A PERCENT OF THE CIVILIAN LABOR FORCE Job losers and persons who completed temporary jobs Job leavers Reentrants New entrants NOTE: Detail for the above race and Hispanic-orgin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups. Beginning in January 2000, data reflect revised population controls used in the household survey. 153 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-19. Unemployed persons by duration of unemployment, race, and Hispanic origin (Numbers in thousands) Total Duration White Black Hispanic origin 1999 III 2000 III 1999 III 2000 III 1999 III 2000 5,935 2,679 1,858 1,399 673 726 5,718 2,598 1,861 1,258 576 682 4,226 2,023 1,303 900 426 474 4,105 1,982 1,319 804 397 407 1,433 531 463 440 215 225 1,331 497 462 372 153 220 964 476 281 208 108 99 884 420 260 203 88 115 13.1 6.0 12.6 5.8 12.1 5.1 11.4 5.0 16.5 8.2 15.6 8.0 11.6 4.7 12.8 5.3 100.0 45.1 31.3 23.6 11.3 12.2 100.0 45.4 32.6 22.0 10.1 11.9 100.0 47.9 30.8 21.3 10.1 11.2 100.0 48.3 32.1 19.6 9.7 9.9 100.0 37.0 32.3 30.7 15.0 15.7 100.0 37.3 34.7 28.0 11.5 16.5 100.0 49.3 29.1 21.5 11.2 10.3 100.0 47.5 29.5 23.0 10.0 13.0 1999 III 2000 NUMBER OF UNEMPLOYED Total, 16 years and over Less than 5 weeks 5 to 14 weeks 15 weeks and over 15 to 26 weeks 27 weeks and over Average (mean) duration, in weeks Median duration, in weeks PERCENT DISTRIBUTION Total unemployed Less than 5 weeks 5 to 14 weeks 15 weeks and over 15 to 26 weeks 27 weeks and over NOTE: Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups. Beginning in January 2000, data reflect revised population controls used in the household survey. 154 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-20. Median weekly earnings of full-time wage and salary workers by selected characteristics Number of workers (in thousands) Median weekly earnings Characteristic III 2000 1999 III 2000 99,052 101,462 $546 $575 Men, 16 years and over 16 to 24 years 25 years and over 56,199 7,296 48,903 57,430 7,719 49,711 614 347 668 640 378 700 Women, 16 years and over 16 to 24 years 25 years and over 42,853 5,433 37,421 44,031 5,872 38,160 474 323 500 491 335 519 White Men Women 81,874 47,670 34,204 83,623 48,505 35,117 569 632 483 590 664 497 Black Men Women 12,496 5,972 6,524 12,776 6,143 6,633 454 492 416 463 492 434 Hispanic origin Men Women 11,087 6,841 4,246 11,767 7,271 4,496 392 410 356 402 416 377 III 1999 SEX AND AGE Total, 16 years and over RACE, HISPANIC ORIGIN, AND SEX NOTE: Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population groups. Beginning in January 2000, data reflect revised population controls used in the household survey. 155 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-21. Median weekly earnings of part-time wage and salary workers by selected characteristics Number of workers (in thousands) Median weekly earnings Characteristic III 1999 III 2000 19,996 19,103 $171 $174 6,135 3,383 2,752 5,721 3,169 2,552 162 137 209 159137 211 13,861 4,330 9,531 13,382 4,168 9,214 175 130 208 183 140 210 White Men Women 17,316 5,222 12,094 16,578 4,871 11,707 171 162 177 176 159 185 Black Men Women 1,915 626 1,289 1,747 576 1,171 164 157 167 160 158 161 Hispanic origin Men Women 1,793 711 1,081 1,634 483 1,151 161 180 150 159 161 159 III 1999 III 2000 SEX AND AGE Total, 16 years and over Men, 16 years and over 16to 24 years 25 years and over Women, 16 years and over 16 to 24 years 25 years and over RACE, HISPANIC ORIGIN, AND SEX groups. Beginning in January 2000, data reflect revised population controls used in the household survey. NOTE: Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other races" group are not presented and Hispanics are included in both the white and black population 156 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-22. Median weekly earnings of full-time wage and salary workers by occupation and sex Number of workers (in thousands) Median weekly earnings Occupation and sex III III III III 1999 2000 1999 2000 TOTAL Managerial and professional specialty Executive, administrative, and managerial Professional specialty Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical Service occupations Private household Protective service Service, except private household and protective Precision production, craft, and repair Mechanics and repairers Construction trades Other precision production, craft, and repair Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Farming, forestry, and fishing $806 $833 2,191 8,624 11,914 4,383 4,043 3,488 15,429 6,771 4,678 3,980 1,879 31,849 15,482 16,367 28,620 3,780 10,237 14,603 11,035 • 351 2,147 8,537 12,336 4,287 4,553 3,495 15,740 6,631 4,724 4,386 1,881 796 812 485 608 515 449 336 246 587 313 598 622 560 605 431 426 515 351 331 850 817 504 654 557 463 352 252 638 324 612 648 592 599 433 423 532 380 345 15,635 7,998 7,637 10,664 1,863 5,491 3,310 5,422 16,144 8,319 7,824 11,072 1,941 5,564 3,567 5,230 955 963 948 620 708 683 527 394 (1) 962 651 766 691 545 411 (1) 30,779 14,792 15,988 27,749 3,634 9,860 14,255 11,302 487 Men Managerial and professional specialty Executive, administrative, and managerial Professional specialty Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical Service occupations Private household Protective service Service, except private household and protective Precision production, craft, and repair Mechanics and repairers Construction trades Other precision production, craft, and repair Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Farming, forestry, and fishing 994 1,026 25 6 1,804 3,593 10,863 4,182 3,941 2,740 11,996 4,418 4,391 3,186 1,620 1,796 3,427 11,285 4,082 4,461 2,741 12,130 4,205 4,341 3,584 1.570 $614 $678 331 608 621 566 651 475 483 521 365 335 347 621 645 595 639 475 480 552 394 362 15,145 6,794 8,351 17,085 1,771 4,370 10,944 5,879 15,705 7.163 8,543 17,548 1,839 4,673 11,036 5,805 462 388 345 351 5,030 1,051 5,110 1.051 202 101 748 205 92 754 706 682 725 449 539 413 443 316 251 502 316 466 695 (1) 3,434 2,353 3,611 2,426 287 794 260 383 802 311 690 665 709 430 533 385 432 304 244 488 304 464 677 436 435 335 336 398 316 316 Women Managerial and professional specialty Executive, administrative, and managerial Professional specialty Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical Service occupations Private household Protective service Service, except private household and protective Precision production, craft, and repair Mechanics and repairers Construction trades Other precision production, craft, and repair Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Farming, forestry, and fishing 1 Data not shown where base is less than 100,000. NOTE: Beginning in January 2000, data reflect revised population controls used in the household survey. 157 $423 355 363 382 321 291 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-23. Employment status of male Vietnam-era veterans and nonveterans by age (Numbers in thousands) Civilian noninstitutional population Civilian labor force Employed Total Unemployed Veteran status and age III 1999 2000 Percent of labor force Number III 1999 III 2000 III 1999 2000 III 1999 2000 III 1999 III 2000 VIETNAM-ERA VETERANS Total, 40 years and over 40 to 54 years 40 to 44 years 45 to 49 years 50 to 54 years 55 years and over 7,754 5,435 486 1,826 3,123 2,319 7,699 4,920 282 1,495 3,143 2,780 6,321 4,736 417 1,587 2,731 1,586 6,159 4,271 237 1,309 2,725 1,888 6,166 4,610 405 1,536 2,669 1,557 5,986 4,135 227 1,264 2,643 1,851 155 126 12 52 62 29 173 136 10 45 82 37 2.5 2.7 2.9 3.3 2.3 1.8 2.8 3.2 4.0 3.4 3.0 2.0 21,460 9,467 7,407 4,586 22,491 9,689 7,898 4,904 19,387 8,749 6,708 3,929 20,367 8,925 7,159 4,284 18,942 8,539 6,561 3,842 19,916 8,719 6,994 4,203 445 210 451 205 165 81 2.3 2.4 2.2 2.2 2.2 2.3 2.3 1.9 NONVETERANS Total, 40 to 54 years 40 to 44 years 45 to 49 years 50 to 54 years 87 never served in the Armed Forces. Beginning in January 2000, data reflect revised population controls used in the household survey. NOTE: Male Vietnam-era veterans are men who served in the Armed Forces between August 5, 1964 and May 7, 1975. Nonveterans are men who have 147 158 HOUSEHOLD DATA NOT SEASONALLY ADJUSTED QUARTERLY AVERAGES D-24. Employment status of male Vietnam-era veterans and nonveterans by age, race, and Hispanic origin (Numbers in thousands) Veterans Employment status and age Black White Nonveterans Hispanic origin White Black Hispanic origin 2000 1999 2000 1999 III 2000 203 18,106 19,037 171 16,616 17,487 162 16,280 17,166 336 321 9 2.0 1.8 5.5 2,234 1,786 1,702 84 4.7 2,307 1,836 1,728 108 5.9 2,203 1,939 1,857 82 4.2 2,279 2,026 1,973 53 2.6 8,166 7,622 7,477 145 1.9 993 831 794 37 4.4 1,015 836 785 51 6.1 1,050 956 921 36 3.7 1,030 931 911 20 2.2 6,253 5,763 5,661 102 1.8 6,723 6,177 6,057 120 1.9 785 629 591 38 6.0 789 628 592 36 5.7 673 613 588 26 4.2 739 669 651 19 2.8 3,865 3,373 3,300 73 2.2 4,148 3,688 3,632 56 1.5 457 326 317 9 2.8 503 372 351 20 5.5 481 370 349 21 5.6 510 425 411 14 3.3 1999 2000 1999 2000 1999 2000 4,766 4,219 4,118 100 2.4 4,268 3,744 3,630 114 3.0 541 414 392 23 5.4 540 437 418 19 4.3 239 205 203 2 1.1 396 348 342 6 1.7 221 195 189 6 2.9 77 62 56 6 10.0 57 40 36 4 9.7 24 19 19 12 10 10 7,988 7,481 7,320 161 2.2 1,569 1,388 1,350 38 2.7 1,233 1,089 1,054 36 3.3 207 156 144 12 7.7 216 177 170 7 4.2 66 60 58 2 3.9 62 51 48 2,801 2,483 2,426 57 2.3 2,814 2,460 2,387 72 2.9 256 196 192 4 2.2 267 220 212 8 3.5 149 126 126 129 110 104 6 5.8 1999 Total, 40 to 54 years Civilian noninstitutional population Civilian labor force Employed Unemployed Unemployment rate 40 to 44 years Civilian noninstitutional population Civilian labor force Employed Unemployed Unemployment rate 45 to 49 years Civilian noninstitutional population Civilian labor force Employed Unemployed Unemployment rate 50 to 54 years Civilian noninstitutional population Civilian labor force Employed Unemployed Unemployment rate 1 Data not shown where base is less than 60,000. NOTE: Male Vietnam-era veterans are men who served in the Armed Forces between August 5, 1964 and May 7, 1975. Nonveterans are men who have never served in the Armed Forces. Detail for the above race and Hispanic-origin groups will not sum to totals because data for the "other racesgroup are not presented and Hispanics are included in both the white and black population groups. Beginning in January 2000, data reflect revised population controls used in the household survey. 159 Explanatory Notes and Estimates of Error Introduction The statistics in this periodical are compiled from two major sources: (1) household interviews, and (2) reports from employers. Data based on household interviews are obtained from the Current Population Survey (CPS), a sample survey of the population 16 years of age and over. The survey is conducted each month by the U.S. Census Bureau for the Bureau of Labor Statistics and provides comprehensive data on the labor force, the employed, and the unemployed, classified by such characteristics as age, sex, race, family relationship, marital status, occupation, and industry attachment. The survey also provides data on the characteristics and past work experience of those not in the labor force. The information is collected by trained interviewers from a sample of about 50,000 households (beginning with January 1996 data) located in 754 sample areas. These areas are chosen to represent all counties and independent cities in the United States, with coverage in 50 States and the District of Columbia. The data collected are based on the activity or status reported for the calendar week including the 12th of the month. Data based on establishment records are compiled each month from mail questionnaires and telephone interviews by the Bureau of Labor Statistics, in cooperation with State agencies. The Current Employment Statistics (CES) survey is designed to provide industry information on nonfarm wage and salary employment, average weekly hours, average hourly earnings, and average weekly earnings for the Nation, States, and metropolitan areas. The employment, hours, and earnings series are based on payroll reports from a sample of about 300,000 establishments employing about 48 million nonfarm wage and salary workers. The data relate to all workers, full or part time, who receive pay during the payroll period that includes the 12th of the month. Data from these two sources differ from each other because of variations in definitions and coverage, source of information, methods of collection, and estimating procedures. Sampling variability and response errors are additional reasons for discrepancies. The major factors that have a differential effect on the levels and trends of the two data series are as follows. Employment Coverage, The household survey definition of employment comprises wage and salary workers (including domestics and other private household workers), self-employed persons, and unpaid workers who worked 15 hours or more during the reference week in family-operated enterprises. Employment in both agricultural and nonagricultural industries is included. The payroll survey covers only wage and salary employees on the payrolls of nonfarm establishments. Multiple jobholding. The household survey provides information on the work status of the population without duplication, because each person is classified as employed, unemployed, or not in the labor force. Employed persons holding more than one job are counted only once. In the figures based on establishment reports, persons who worked in more than one establishment during the reporting period are counted each time their names appear on payrolls. Unpaid absences from jobs. The household survey includes among the employed all civilians who had jobs but were not at work during the reference week—that is, were not working but had jobs from which they were temporarily absent because of illness, vacation, bad weather, childcare problems, or labor-management disputes, or because they were taking time off for various other reasons, even if they were not paid by their employers for the time off. In the figures based on payroll reports, persons on leave paid for by the company are included, but those on leave without pay for the entire payroll period are not. RELATIONSHIP BETWEEN THE HOUSEHOLD AND ESTABLISHMENT SERIES The household and establishment data complement one another, each providing significant types of information that the other cannot suitably supply. Population characteristics, for example, are obtained only from the household survey, whereas detailed industrial classifications are much more reliably derived from establishment reports. Hours of work The household survey measures hours worked for all workers, whereas the payroll survey measures hours for private production or nonsupervisory workers paid for by 160 compensation but are classified as employed, rather than unemployed, in the household survey. employers. In the household survey, all persons with a job but not at work are excluded from the hours distributions and the computations of average hours at work. In the payroll survey, production or nonsupervisory employees on paid vacation, paid holiday, or paid sick leave are included and assigned the number of hours for which they were paid during the reporting period. Agricultural employment estimates of the U.S. Department of Agriculture. The principal differences in coverage are the inclusion of persons under 16 in the National Agricultural Statistics Service series and the treatment of dual jobholders, who are counted more than once if they work on more than one farm during the reporting period. There also are wide differences in sampling techniques and data collecting and estimating methods, which cannot be readily measured in terms of their impact on differences in the levels and trends of the two series. Earnings The household survey measures the earnings of wage and salary workers in all occupations and industries in both the private and public sectors. Data refer to the usual earnings received from the worker's sole or primary job. Data from the establishment survey generally refer to average earnings of production and related workers in mining and manufacturing, construction workers in construction, and non-supervisory employees in private service-producing industries. For a comprehensive discussion of the various earnings series available from the household and establishment surveys, see BLS Measures of Compensation, Bulletin 2239 (Bureau of Labor Statistics, 1986). COMPARABILITY OF PAYROLL EMPLOYMENT DATA WITH OTHER SERIES Statistics on manufacturers and business, U.S. Census Bureau. BLS establishment statistics on employment differ from employment counts derived by the U.S. Census Bureau from its censuses or sample surveys of manufacturing and business establishments. The major reasons for noncomparability are different treatment of business units considered parts of an establishment, such as central administrative offices and auxiliary units; the industrial classification of establishments; and different reporting patterns by multiunit companies. There also are differences in the scope of the industries covered, for example, the Census of Business excludes professional services, public utilities, and financial establishments, whereas these are included in the BLS statistics. COMPARABILITY OF HOUSEHOLD DATA WITH OTHER SERIES Unemployment insurance data. The unemployed total from the household survey includes all persons who did not have a job during the reference week, were currently available for a job, and were looking for work or were waiting to be called back to a job from which they had been laid off, whether or not they were eligible for unemployment insurance. Figures on unemployment insurance claims, prepared by the Employment and Training Administration of the U.S. Department of Labor, exclude, in addition to otherwise ineligible persons who do not file claims for benefits, persons who have exhausted their benefit rights, new workers who have not earned rights to unemployment insurance, and persons losing jobs not covered by unemployment insurance systems (some workers in agriculture, domestic services, and religious organizations, and self-employed and unpaid family workers). In addition, the qualifications for drawing unemployment compensation differ from the definition of unemployment used in the household survey. For example, persons with a job but not at work and persons working only a few hours during the week are sometimes eligible for unemployment County Business Patterns, U.S. Census Bureau. Data in County Business Patterns (CBP) differ from BLS establishment statistics in the treatment of central administrative offices and auxiliary units. Differences also may arise because of industrial classification and reporting practices. In addition, CBP excludes interstate railroads and most of government, and coverage is incomplete for some of the nonprofit agencies. Employment covered by State unemployment insurance programs. Most nonfarm wage and salary workers are covered by the unemployment insurance programs. However, some employees, such as those working in parochial schools and churches, are not covered by unemployment insurance, whereas they are included in the BLS establishment statistics. 161 Household Data ("A" tables, monthly; "D" tables, quarterly) COLLECTION AND COVERAGE Each employed person is counted only once, even if he or she holds more than one job. For purposes of occupation and industry classification, multiple jobholders are counted in the job at which they worked the greatest number of hours during the reference week. Included in the total are employed citizens of foreign countries who are temporarily in the United States but not living on the premises of an embassy. Excluded are persons whose only activity consisted of work around their own house (painting, repairing, or own home housework) or volunteer work for religious, charitable, and other organizations. Statistics on the employment status of the population and related data are compiled by BLS using data from the Current Population Survey (CPS). This monthly survey of households is conducted for BLS by the U.S. Census Bureau through a scientifically selected sample designed to represent the civilian noninstitutional population. Respondents are interviewed to obtain information about the employment status of each member of the household 16 years of age and over. The inquiry relates to activity or status during the calendar week, Sunday through Saturday, that includes the 12th day of the month. This is known as the "reference week." Actual field interviewing is conducted in the following week, referred to as the "survey week." Each month, about 50,000 occupied units are eligible for interview. Some 3,200 of these households are contacted but interviews are not obtained because the occupants are not at home after repeated calls or are unavailable for other reasons. This represents a noninterview rate for the survey that ranges between 6 and 7 percent. In addition to the 50,000 occupied units, there are about 9,000 sample units in an average month that are visited but found to be vacant or otherwise not eligible for enumeration. Part of the sample is changed each month. The rotation plan, as will be explained later, provides for three-fourths of the sample to be common from one month to the next, and one-half to be common with the same month a year earlier. Unemployed persons. All persons who had no employment during the reference week, were available for work, except for temporary illness, and had made specific efforts to find employment some time during the 4-week period ending with the reference week. Persons who were waiting to be recalled to a job from which they had been laid off need not have been looking for work to be classified as unemployed. Duration of unemployment. This represents the length of time (through the current reference week) that persons classified as unemployed had been looking for work. For persons on layoff, duration of unemployment represents the number of full weeks they had been on layoff. Mean duration is the arithmetic average computed from single weeks of unemployment; median duration is the midpoint of a distribution of weeks of unemployment. Reason for unemployment. Unemployment also is categorized according to the status of individuals at the time they began to look for work. The reasons for unemployment are divided into five major groups: (1) Job losers, comprising (a) persons on temporary layoff, who have been given a date to return to work or who expect to return within 6 months (persons on layoff need not be looking for work to qualify as unemployed), and (b) permanent job losers, whose employment ended involuntarily and who began looking for work; (2) Job leavers, persons who quit or otherwise terminated their employment voluntarily and immediately began looking for work; (3) Persons who completed temporary jobs, who began looking for work after the jobs ended; (4) Reentrants, persons who previously worked but who were out of the labor force prior to beginning their job search; and (5) New entrants, persons who never worked. Each of these five categories of the unemployed can be expressed as a proportion of the entire civilian labor force; the sum of the four rates thus equals the unemployment rate for all civilian workers. (For statistical presentation purposes, "job losers" and "persons who completed temporary jobs" are combined into a single category until seasonal adjustments can be developed for the separate categories.) CONCEPTS AND DEFINITIONS The concepts and definitions underlying labor force data have been modified, but not substantially altered, since the inception of the survey in 1940; those in use as of January 1994 are as follows: Civilian noninstitutional population. Included are persons 16 years of age and older residing in the 50 States and the District of Columbia who are not inmates of institutions (for example, penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces. Employed persons. All persons who, during the reference week, (a) did any work at all (at least 1 hour) as paid employees, worked in their own business, profession, or on their own farm, or worked 15 hours or more as unpaid workers in an enterprise operated by a member of the family, and (b) all those who were not working but who had jobs or businesses from which they were temporarily absent because of vacation, illness, bad weather, child-care problems, maternity or paternity leave, labor-management dispute, job training, or other family or personal reasons, whether or not they were paid for the time off or were seeking other jobs. 162 following categories: Private and government wage and salary workers, self-employed workers, and unpaid family workers. Wage and salary workers receive wages, salary, commissions, tips, or pay in kind from a private employer or from a government unit. Self-employed persons are those who work for profit or fees in their own business, profession, trade, or farm. Only the unincorporated self-employed are included in the self-employed category in the class of worker typology. Self-employed persons who respond that their businesses are incorporated are included among wage and salary workers because, technically, they are paid employees of a corporation. Unpaid family workers are persons working without pay for 15 hours a week or more on a farm or in a business operated by a member of the household to whom they are related by birth or marriage. Jobseekers. All unemployed persons who made specific efforts to find a job sometime during the 4-week period preceding the survey week are classified as jobseekers. Jobseekers do not include persons classified as on temporary layoff, who, although often looking for work, are not required to do so to be classified as unemployed. Jobseekers are grouped by the methods used to seek work. Only active methods—which have the potential to result in a job offer without further action on the part of the jobseeker—qualify as job search. Examples include going to an employer directly or to a public or private employment agency, seeking assistance from friends or relatives, placing or answering ads, or using some other active method. Examples of the "other" category include being on a union or professional register, obtaining assistance from a community organization, or waiting at a designated labor pickup point. Passive methods, which do not qualify as job search, include reading (as opposed to answering or placing) "help wanted" ads and taking a job training course. Multiple jobholders. These are employed persons who, during the reference week, either had two or more jobs as a wage and salary worker, were self-employed and also held a wage and salary job, or worked as an unpaid family worker and also held a wage and salary job. Excluded are self-employed persons with multiple businesses and persons with multiple jobs as unpaid family workers. Labor force. This group comprises all persons classified as employed or unemployed in accordance with the criteria described above. Unemployment rate. The unemployment rate represents the number unemployed as a percent of the labor force. Hours of work. These statistics relate to the actual number of hours worked during the reference week. For example, persons who normally work 40 hours a week but were off on the Columbus Day holiday would be reported as working 32 hours, even though they were paid for the holiday. For persons working in more than one job, the published figures relate to the number of hours worked in all jobs during the week; all the hours are credited to the major job. Unpublished data are available for the hours worked in each job and for usual hours. Participation rate. This represents the proportion of the population that is in the labor force. Employment-population ratio. This represents the proportion of the population that is employed. Not in the labor force. Included in this group are all persons in the civilian noninstitutional population who are neither employed nor unemployed. Information is collected on their desire for and availability to take a job at the time of the CPS interview, job search activity in the prior year, and reason for not looking in the 4-week period prior to the survey week. This group includes discouraged workers, defined as persons not in the labor force who want and are available for a job and who have looked for work sometime in the past 12 months (or since the end of their last job if they held one within the past 12 months), but who are not currently looking because they believe there are no jobs available or there are none for which they would qualify. Persons classified as not in the labor force who are in the sample for either their fourth or eighth month.are asked additional questions relating to job history and workseeking intentions. These latter data are available on a quarterly basis. At work part time for economic reasons. Sometimes referred to as involuntary part time, this category refers to individuals who gave an economic reason for working 1 to 34 hours during the reference week. Economic reasons include slack work or unfavorable business conditions, inability to find full-time work, and seasonal declines in demand. Those who usually work part time must also indicate that they want and are available for full-time work to be classified as on part time for economic reasons. At work part time for noneconomic reasons. This group includes those persons who usually work part time and were at work 1 to 34 hours during the reference week for a noneconomic reason. Noneconomic reasons include, for example: Illness or other medical limitations, child-care problems or other family or personal obligations, school or training, retirement or Social Security limits on earnings, and being in a job where full-time work is less than 35 hours. The group also includes those who gave an economic reason for usually working 1 to 34 hours but said they do not want to work full time or are unavailable for such work. Occupation, industry, and class of worker. This information for the employed applies to the job held in the reference week. Persons with two or more jobs are classified in the job at which they worked the greatest number of hours. The unemployed are classified according to their last job. The occupational and industrial classification of CPS data is based on the coding systems used in the 1990 census. The class-of-worker breakdown assigns workers to the Usual full- or part-time status. Data on persons "at work" 163 exclude persons who were temporarily absent from a job and therefore classified in the zero-hours-worked category, "with a job but not at work." These are persons who were absent from their jobs for the entire week for such reasons as bad weather, vacation, illness, or involvement in a labor dispute. In order to differentiate a person's normal schedule from his or her activity during the reference week, persons also are classified according to their usual full- or part-time status. In this context, full-time workers are those who usually worked 35 hours or more (at all jobs combined). This group will include some individuals who worked less than 35 hours in the reference week for either economic or noneconomic reasons and those who are temporarily absent from work. Similarly, part-time workers are those who usually work less than 35 hours per week (at all jobs), regardless of the number of hours worked in the reference week. This may include some individuals who actually worked more than 34 hours in the reference week, as well as those who are temporarily absent from work. The full-time labor force includes all employed persons who usually work full time and unemployed persons who are either looking for fulltime work or are on layoff from full-time jobs. The parttime labor force consists of employed persons who usually work part time and unemployed persons who are seeking or are on layoff from part-time jobs. Unemployment rates for full- and part-time workers are calculated using the concepts of the full- and part-time labor force. employed persons regardless of whether or not their businesses were incorporated) who usually work full time on their sole or primary job. Median earnings. These figures indicate the value that divides the earnings distribution into two equal parts, one part having values above the median and the other having values below the median. The medians shown in this publication are calculated by linear interpolation of the $50 centered interval within which each median falls. Data expressed in constant dollars are deflated by the Consumer Price Index for All Urban Consumers (CPI-U). Single, never married; married, spouse present; and other marital status. These are the terms used to define the marital status of individuals at the time of interview. Married, spouse present, applies to husband and wife if both were living in the same household, even though one may be temporarily absent on business, vacation, on a visit, in a hospital, etc. Other marital status applies to persons who are married, spouse absent; widowed; or divorced. Married, spouse absent relates to persons who are separated due to marital problems, as well as to husbands and wives who are living apart because one or the other was employed elsewhere or was on duty with the Armed Forces, or for any other reasons. Household. A household consists of all persons—related family members and all unrelated persons—who occupy a housing unit and have no other usual address. A house, an apartment, a group of rooms, or a single room is regarded as a housing unit when occupied or intended for occupancy as separate living quarters. A householder is the person (or one of the persons) in whose name the housing unit is owned or rented. The term is never applied to either husbands or wives in married-couple families but relates only to persons in families maintained by either men or women without a spouse. White, black, and other. These are terms used to describe the race of persons. Included in the "other" group are American Indians, Alaskan Natives, and Asians and Pacific Islanders. Because of the relatively small sample size, data for "other" races are not published. In the enumeration process, race is determined by the household respondent. Hispanic origin. This refers to persons who identified themselves in the enumeration process as Mexican, Puerto Rican, Cuban, Central or South American, or of other Hispanic origin or descent. Persons of Hispanic origin may be of any race; thus, they are included in both the white and black population groups. Family. A family is defined as a group of two or more persons residing together who are related by birth, marriage, or adoption; all such persons are considered as members of one family. Families are classified either as married-couple families or as families maintained by women or men without spouses. A family maintained by a woman or a man is one in which the householder is either single, widowed, divorced, or married, spouse absent. Vietnam-era veterans. These are persons who served in the Armed Forces of the United States between August 5, 1964, and May 7, 1975. Published data are limited to men in the civilian noninstitutional population; that is, veterans in institutions and women are excluded. Nonveterans are persons who never served in the Armed Forces. HISTORICAL COMPARABILITY Changes in concepts and methods While current survey concepts and methods are very similar to those introduced at the inception of the survey in 1940, a number of changes have been made over the years to improve the accuracy and usefulness of the data. Some of the most important changes include: Usual weekly earnings. Data represent earnings before taxes and other deductions, and include any overtime pay, commissions, or tips usually received (at the main job, in the case of multiple jobholders). Earnings reported on a basis other than weekly (for example, annual, monthly, hourly) are converted to weekly. The term "usual" is as perceived by the respondent. If the respondent asks for a definition of usual, interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. Data refer to wage and salary workers (excluding all self- • In 1945, the questionnaire was radically changed with the introduction of four basic employment questions. Prior to that time, the survey did not contain specific question wording, but rather relied on a complicated scheme of activity prioritization. 164 e) New questions were added to obtain additional information on persons not in the labor force, including those referred to as "discouraged workers," defined as persons who indicate that they want a job but are not currently looking because they believe there are no jobs available or none for which they would qualify. • In 1953, the current 4-8-4 rotation system was adopted, whereby households are interviewed for 4 consecutive months, leave the sample for 8 months, and then return to the sample for the same 4 months of the following year. Before this system was introduced, households were interviewed for 6 consecutive months and then replaced. The new system provided some year-to-year overlap in the sample, thereby improving measurement over time. f) New "probing" questions were added to the questionnaire in order to increase the reliability of information on hours of work, duration of unemployment, and self-employment. • In 1955, the survey reference week was changed to the calendar week including the 12th day of the month, for greater consistency with the reference period used for other labor-related statistics. Previously, the calendar week containing the 8th day of the month had been used as the reference week. • In 1994, major changes to the Current Population Survey (CPS) were introduced, which included a complete redesign of the questionnaire and the use of computer-assisted interviewing for the entire survey. In addition, there were revisions to some of the labor force concepts and definitions, including the implementation of some changes recommended in 1979 by the National Commission on Employment and Unemployment Statistics (NCEUS, also known as the Levitan Commission). Some of the major changes to the survey were: • In 1957, the employment definition was modified slightly as a result of a comprehensive interagency review of labor force concepts and methods. Two relatively small groups of persons classified as employed, under "with a job but not at work," were assigned to different classifications. Persons on layoff with definite instructions to return to work within 30 days of the layoff date, and persons volunteering that they were waiting to start a new wage and salary job within 30 days of interview, were, for the most part, reassigned to the unemployed classification. The only exception was the small subgroup in school during the reference week but waiting to start new jobs, which was transferred to not in the labor force. a) The introduction of a redesigned and automated questionnaire. The CPS questionnaire was totally redesigned in order to obtain more accurate, comprehensive, and relevant information, and to take advantage of state-of-the-art computer interviewing techniques. b) The addition of two, more objective, criteria to the definition of discouraged workers. Prior to 1994, to be classified as a discouraged worker, a person must have wanted a job and been reported as not currently looking because of a belief that no jobs were available or that there were none for which he or she would qualify. Beginning in 1994, persons classified as discouraged must also have looked for a job within the past year (or since their last job, if they worked during the year), and must have been available for work during the reference week (a direct question on availability was added in 1994; prior to 1994, availability had been inferred from responses to other questions). These changes were made because the NCEUS and others felt that the previous definition of discouraged workers was too subjective, relying mainly on an individual's stated desire for a job and not on prior testing of the labor market. • In 1967, more substantive changes were made as a result of the recommendations of the President's Committee to Appraise Employment and Unemployment Statistics (the Gordon Committee). The principal improvements were as follows: a) A 4-week job search period and specific questions on jobseeking activity were introduced. Previously, the questionnaire was ambiguous as to the period for jobseeking, and there were no specific questions concerning job search methods. b) An availability test was introduced whereby a person must be currently available for work in order to be classified as unemployed. Previously, there was no such requirement. This revision to the concept mainly affected students, who, for example, may begin to look for summer jobs in the spring although they will not be available until June or July. Such persons, until 1967, had been classified as unemployed but since have been assigned to the "not in the labor force" category. c) Similarly, the identification of persons employed part time for economic reasons (working less than 35 hours in the reference week because of poor business conditions or because of an inability to find full-time work) was tightened by adding two new criteria for persons who usually work part time: They must want and be available for fulltime work. Previously, such information was inferred. (Persons who usually work full time but worked part time for an economic reason during the reference week are assumed to meet these criteria.) c) Persons "with a job but not at work" because of strikes, bad weather, etc., who volunteered that they were looking for work were shifted from unemployed status to employed. d) The lower age limit for official statistics on employment, unemployment, and other labor force concepts was raised from 14 to 16 years. Historical data for most major series have been revised to provide consistent information based on the new minimum age limit. d) Specific questions were added about the expectation of recall for persons who indicate that they are on layoff. To be classified as "on temporary layoff," persons must ex- 165 pect to be recalled to their jobs. Previously, the questionnaire did not include explicit questions about the expectation of recall. Unemployment levels and rates were not significantly affected. • Beginning in January 1974, the method used to prepare independent estimates of the civilian noninstitutional population was modified to an "inflation-deflation" approach. This change in the derivation of the estimates had its greatest impact on estimates of 20- to 24-year-old men— particularly those in the black-and-other population—but had little effect on estimates of the total population 16 years and over. Additional information on the adjustment procedure appears in "CPS Population Controls Derived from Inflation-Deflation Method of Estimation," in the February 1974 issue of this publication. e) Persons volunteering that they were waiting to start a new job within 30 days must have looked for work in the 4 weeks prior to the survey in order to be classified as unemployed. Previously, such persons did not have to meet the job search requirement in order to be included among the unemployed. For additional information on changes in CPS concepts and methods, see "The Current Population Survey: Design and Methodology," Technical Paper 63 (Washington, U.S. Census Bureau and Bureau of Labor Statistics, March 2000), available on the Internet at www.bls.census.gov/cps/tp/ tp63.htm; "Overhauling the Current Population Survey— Why is it Necessary to Change?," "Redesigning the Questionnaire," and "Evaluating Changes in the Estimates," Monthly Labor Review, September 1993; and "Revisions in the Current Population Survey Effective January 1994," in the February 1994 issue of this publication. • Effective in July 1975, as a result of the large inflow of Vietnamese refugees to the United States, the total and blackand-other independent population controls for persons 16 years and over were adjusted upward by 76,000—30,000 men and 46,000 women. The addition of the refugees increased the black-and-other population by less than 1 percent in any age-sex group, with all of the changes being confined to the "other" component of the population. Noncomparability of labor force levels In addition to the refinements in concepts, definitions, and methods made over the years, other changes also have affected the comparability of the labor force data. • Beginning in January 1978, the introduction of an expansion in the sample and revisions in the estimation procedures resulted in an increase of about 250,000 in the civilian labor force and employment totals; unemployment levels and rates were essentially unchanged. An explanation of the procedural changes and an indication of the differences appear in "Revisions in the Current Population Survey in January 1978" in the February 1978 issue of this publication. • Beginning in 1953, as a result of introducing data from the 1950 census into the estimating procedures, population levels were raised by about 600,000; labor force, total employment, and agricultural employment were increased by about 350,000, primarily affecting the figures for totals and for men; other categories were relatively unaffected. • Beginning in October 1978, the race of the individual was determined by the household respondent for the incoming rotation group households, rather than by the interviewer as before. The purpose of this change was to provide more accurate estimates of characteristics by race. Thus, in October 1978, one-eighth of the sample households had race determined by the household respondent and seveneighths of the sample households had race determined by interviewer observation. It was not until January 1980 that the entire sample had race determined by the household respondent. The new procedure had no significant effect on the estimates. • Beginning in 1960, the inclusion of Alaska and Hawaii resulted in increases of about 500,000 in the population and about 300,000 in the labor force. Four-fifths of the labor force increase was in nonagricultural employment; other labor force categories were not appreciably affected. • Beginning in 1962, the introduction of data from the 1960 census reduced the population by about 50,000 and labor force and employment by about 200,000; unemployment totals were virtually unchanged. • Beginning in 1972, information from the 1970 census was introduced into the estimation procedures, increasing the population by about 800,000; labor force and employment totals were raised by a little more than 300,000; unemployment levels and rates were essentially unchanged. • Beginning in January 1979, the first-stage ratio adjustment method was changed in the CPS estimation procedure. Differences between the old and new procedures existed only for metropolitan and nonmetropolitan area estimates, not for the total United States. The reasoning behind the change and an indication of the differences appear in "Revisions in the Current Population Survey in January 1979" in the February 1979 issue of this publication. • In March 1973, a subsequent population adjustment based on the 1970 census was introduced. This adjustment, which affected the white and black-and-other groups but had little effect on totals, resulted in the reduction of nearly 300,000 in the white population and an increase of the same magnitude in the black-and-other population. Civilian labor force and total employment figures were affected to a lesser degree; the white labor force was reduced by 150,000, and the black-and-other labor force rose by about 210,000. • Beginning in January 1982, the second-stage ratio adjustment method was changed. The rationale for the change and an indication of its effect on national estimates of labor force characteristics appear in "Revisions in the Current Population Survey Beginning in January 1982" in the Feb166 • Beginning in August 1989, the second-stage ratio estimation procedures were changed slightly to decrease the chance of very small cells occurring and to be more consistent with published age, sex, race cells. This change had virtually no effect on national estimates. ruary 1982 issue of this publication. In addition, current population estimates used in the second-stage estimation procedure were derived from information obtained from the 1980 census, rather than the 1970 census. This change caused substantial increases in the total population and in the estimates of persons in all labor force categories. Rates for labor force characteristics, however, remained virtually unchanged. Some 30,000 labor force series were adjusted back to 1970 to avoid major breaks in series. The adjustment procedure used also is described in the February 1982 article cited above. The revisions did not, however, smooth out the breaks in series occurring between 1972 and 1979 (described above), and data users should consider them when comparing estimates from different periods. • Beginning in January 1994, 1990 census-based population controls, adjusted for the estimated undercount, were introduced into the second-stage estimation procedure. This change resulted in substantial increases in total population and in all major labor force categories. Effective February 1996, these controls were introduced into the estimates for 1990-93. Under the new population controls, the civilian noninstitutional population for 1990 increased by about 1.1 million, employment by about 880,000, and unemployment by approximately 175,000. The overall unemployment rate rose by about 0.1 percentage point. For further information, see "Revisions in the Current Population Survey Effective January 1994," and "Revisions in Household Survey Data Effective February 1996" in the February 1994 and March 1996 issues, respectively, of this publication. Additionally, for the period January through May 1994, the composite estimation procedure was suspended for technical and logistical reasons. • Beginning in January 1983, the first-stage ratio adjustment method was updated to incorporate data from the 1980 census. The rationale for the change and an indication of its effect on national estimates for labor force characteristics appear in "Revisions in the Current Population Survey Beginning in January 1983" in the February 1983 issue of this publication. There were only slight differences between the old and new procedures in estimates of levels for the various labor force characteristics and virtually no differences in estimates of participation rates. • Beginning in January 1997, the population controls used in the second-stage ratio adjustment method were revised to reflect updated information on the demographic characteristics of immigrants to, and emigrants from, the United States. As a result, the civilian noninstitutional population 16 years and over was raised by about 470,000. The labor force and employment levels were increased by about 320,000 and 290,000, respectively. The Hispanic-origin population and labor force estimates were raised by about 450,000 and 250,000, respectively, and Hispanic employment was increased by 325,000. Overall and subgroup unemployment rates and other percentages of labor market participation were not affected. An explanation of the changes and an indication of their effect on national labor force estimates appear in "Revisions in the Current Population Survey Effective January 1997" in the February 1997 issue of this publication. • Beginning in January 1985, most of the steps of the CPS estimation procedure—the noninterview adjustment, the first- and second-stage ratio adjustments, and the composite estimator—were revised. These procedures are described in the Estimating Methods section. A description of the changes and an indication of their effect on national estimates of labor force characteristics appear in "Changes in the Estimation Procedure in the Current Population Survey Beginning in January 1985" in the February 1985 issue of this publication. Overall, the revisions had only a slight effect on most estimates. The greatest impact was on estimates of persons of Hispanic origin. Major estimates were revised back to January 1980. • Beginning in January 1986, the population controls used in the second-stage ratio adjustment method were revised to reflect an explicit estimate of the number of undocumented immigrants (largely Hispanic) since 1980 and an improved estimate of the number of emigrants among legal foreignborn residents for the same period. As a result, the total civilian population and labor force estimates were raised by nearly 400,000; civilian employment was increased by about 350,000. The Hispanic-origin population and labor force estimates were raised by about 425,000 and 305,000, respectively, and Hispanic employment was increased by 270,000. Overall and subgroup unemployment levels and rates were not significantly affected. Because of the magnitude of the adjustments for Hispanics, data were revised back to January 1980 to the extent possible. An explanation of the changes and an indication of their effect on estimates of labor force characteristics appear in "Changes in the Estimation Procedure in the Current Population Survey Beginning in January 1986" in the February 1986 issue of this publication. • Beginning in January 1998, new composite estimation procedures and minor revisions in the population controls were introduced into the household survey. The new composite estimation procedures simplify processing of the monthly labor force data at BLS, allow users of the survey microdata to more easily replicate the official estimates released by BLS, and increase the reliability of the employment and labor force estimates. The new procedures also produce somewhat lower estimates of the civilian labor force and employment and slightly higher estimates of unemployment. For example, based on 1997 annual average data, the differences resulting from the use of old and new composite weights were as follows: Civilian labor force (-229,000), total employed (-256,000), and total unemployed (+27,000). Unemployment rates were not significantly affected. 167 Also beginning in January 1998, the population controls used in the survey were revised to reflect new estimates of legal immigration to the United States and a change in the method for projecting the emigration of foreign-born legal residents. As a result, the Hispanic-origin population was raised by about 57,000; however, the total civilian noninstitutional population 16 years and over was essentially unchanged. More detailed information on these changes and their effect on the estimates of labor force change and composition appear in "Revisions in the Current Population Survey Effective January 1998," in the February 1998 issue of this publication. ment levels could not be made between 1971-72 and prior years nor between those 2 years. Unemployment rates were not significantly affected. For a further explanation of the changes in the occupational classification system, see "Revisions in Occupational Classifications for 1971" and "Revisions in the Current Population Survey" in the February 1971 and February 1972 issues, respectively, of this publication. Beginning in January 1983, the occupational and industrial classification systems used in the 1980 census were introduced into the CPS. The 1980 census occupational classification system evolved from the Standard Occupational Classification (SOC) system and was so radically different in concepts and nomenclature from the 1970 system that comparisons of historical data are not possible without major adjustments. For example, the 1980 major group "sales occupations" is substantially larger than the 1970 category "sales workers." Major additions include "cashiers" from "clerical workers" and some self-employed proprietors in retail trade establishments from "managers and administrators, except farm." The industrial classification system used in the 1980 census was based on the 1972 Standard Industrial Classification (SIC) system, as modified in 1977. The adoption of the new system had much less of an adverse effect on historical comparability than did the new occupational system. The most notable changes from the 1970 system were the transfer of farm equipment stores from "retail" to "wholesale" trade and of postal service from "public administration" to "transportation," and some interchange between "professional and related services" and "public administration." Additional information on the 1980 census occupational and industrial classification systems appears in "Revisions in the Current Population Survey Beginning in January 1983" in the February 1983 issue of this publication. Beginning in January 1992, the occupational and industrial classification systems used in the 1990 census were introduced into the CPS. (These systems were based largely on the 1980 Standard Occupational Classification (SOC) and 1987 Standard Industrial Classification (SIC) systems, respectively.) There were a few breaks in comparability between the 1980 and 1990 census-based systems, particularly within the "technical, sales, and administrative support" categories. The most notable changes in industry classification were the shift of several industries from "business services" to "professional services" and the splitting of some industries into smaller, more detailed categories. A number of industry titles were changed as well, with no change in content. • Beginning in January 1999, the population controls used in the survey were revised to reflect newly updated information on immigration. As a result, the civilian noninstitutional population 16 years and over was raised by about 310,000. The impact of the changes varied for different demographic groups. The civilian noninstitutional population for men 16 years and over was lowered by about 185,000, while that for women was increased by about 490,000. The Hispanic-origin population was lowered by about 165,000 while that of persons of non-Hispanic origin was raised by about 470,000. Overall labor force and employment levels were increased by about 60,000 each, while the Hispanic labor force and employment estimates were reduced by about 225,000 and 215,000, respectively. The changes had only a small impact on overall and subgroup unemployment rates and other percentages of labor market participation. An explanation of the changes and an indication of their effect on national labor force estimates appear in "Revisions in the Current Population Survey Effective January 1999" in the February 1999 issue of this publication. • Beginning in January 2000, the population controls used in the survey were revised to reflect newly updated information on immigration and an upward revision in the number of deaths. As a result, the civilian noninstitutional population 16 years and over was lowered by about 215,000. The labor force and employment levels were decreased by about 125,000 and 120,000, respectively. Overall and subgroup unemployment rates and other percentages of labor market participation were not significantly affected. An explanation of the changes and an indication of their effect on national labor force estimates appear in "Revisions in the Current Population Survey Effective January 2000" in the February 2000 issue of this publication. Changes in the occupational and industrial classification systems Beginning in 1971, the comparability of occupational employment data was affected as a result of changes in the occupational classification system for the 1970 census that were introduced into the CPS. Comparability was further affected in December 1971, when a question relating to major activity or duties was added to the monthly CPS questionnaire in order to more precisely determine the occupational classification of individuals. As a result of these changes, meaningful comparisons of occupational employ- Sampling Since the inception of the survey, there have been various changes in the design of the CPS sample. The sample traditionally is redesigned and a new sample selected after each decennial census. Also, the number of sample areas and the number of sample persons are changed occasionally. Most of these changes are made to improve the efficiency of the sample design, increase the reliability of the sample estimates, or control cost. 168 for California, Florida, New York, and Texas, for example, carry a CV of less than 4 percent. In the first stage of sampling, the 754 sample areas are chosen. In the second stage, ultimate sampling unit clusters composed of about four housing units each are selected. Each month, about 59,000 housing units are assigned for data collection, of which about 50,000 are occupied and thus eligible for interview. The remainder are units found to be destroyed, vacant, converted to nonresidential use, containing persons whose usual place of residence is elsewhere, or ineligible for other reasons. Of the 50,000 housing units, about 6.5 percent are not interviewed in a given month due to temporary absence (vacation, etc.), other failures to make contact after repeated attempts, inability of persons contacted to respond, unavailability for other reasons, and refusals to cooperate (about half of the noninterviews). Information is obtained each month for about 94,000 persons 16 years of age or older. Changes in this regard since 1960 are as foliows: When Alaska and Hawaii received statehood in 1959 and 1960, respectively, three sample areas were added to the existing sample to account for the population of these States. In January 1978, a supplemental sample of 9,000 housing units, selected in 24 States and the District of Columbia, was designed to provide more reliable annual average estimates for States. In October 1978, a coverage improvement sample of approximately 450 sample household units representing 237,000 occupied mobile homes and 600,000 new construction housing units was added. In January 1980, another supplemental sample of 9,000 households selected in 32 States and the District of Columbia was added. A sample reduction of about 6,000 units was implemented in May 1981. In January 1982, the sample was expanded by 100 households to provide additional coverage in counties added to the Standard Metropolitan Statistical Areas (SMSAs), which were redefined in 1973. In January 1985, a new Statebased CPS sample was selected based on 1980 census information. A sample reduction of about 4,000 households was implemented in April 1988; the households were reinstated during the 8-month period, April-November 1989. A redesigned CPS sample based on the 1990 decennial census was selected for use during the 1990s. Households from this new sample were phased into the CPS between April 1994 and July 1995. The July 1995 sample was the first monthly sample based entirely on the 1990 census. For further information on the 1990 sample redesign, see "Redesign of the Sample for the Current Population Survey" in the May 1994 issue of this publication. Selection of sample areas. The entire area of the United States, consisting of 3,141 counties and independent cities, is divided into 2,007 sample units (PSUs). In most States, a PSU consists of a county or a number of contiguous counties. In New England and Hawaii, minor civil divisions are used instead of counties. Metropolitan areas within a State are used as a basis for forming PSUs. Outside of metropolitan areas, counties normally are combined except when the geographic area of an individual county is too large. Combining counties to form PSUs provides greater heterogeneity; a typical PSU includes urban and rural residents of both high and low economic levels and encompasses, to the extent feasible, diverse occupations and industries. Another important consideration is that the PSU be sufficiently compact so that, with a small sample spread throughout, it can be efficiently canvassed without undue travel cost. The 2,007 PSUs are grouped into strata within each State. Then, one PSU is selected from each stratum with the probability of selection proportional to the population of the PSU. Nationally, there are a total of 428 PSUs in strata by themselves. These strata are self-representing and are generally the most populous PSUs in each State. The 326 remaining strata are formed by combining PSUs that are similar in such characteristics as unemployment, proportion of housing units with three or more persons, number of persons employed in various industries, and average monthly wages for various industries. The single PSU randomly selected from each of these strata is nonself-representing because it represents not only itself but the entire stratum. The probability of selecting a particular PSU in a nonself-representing stratum is proportional to its 1990 population. For example, within a stratum, the chance that a PSU with a population of 50,000 would be selected for the sample is twice that for a PSU having a population of 25,000. The original 1990 census-based sample design included about 66,000 housing units per month located in 792 selected geographic areas called primary sampling units (PSUs). The sample initially was selected to meet specific reliability criteria for the Nation, for each of the 50 States and the District of Columbia, and for the sub-State areas of New York City and the Los Angeles-Long Beach metropolitan area. In 1996, the original sample design reliability criteria were modified to reduce costs. The current criteria, given below, are based on the coefficient of variation (CV) of the unemployment level, where the CV is defined as the standard error of the estimate divided by the estimate, expressed as a percentage. These CV controls assume a 6-percent unemployment rate to establish a consistent specification of sampling error. The current sample design, introduced in January 1996, includes about 59,000 households from 754 sample areas and maintains a 1.9-percent CV on national monthly estimates of unemployment level. This translates into a change of 0.2 percentage point in the unemployment rate being significant at a 90-percent confidence level. For each of the 50 States and for the District of Columbia, the design maintains a CV of at most 8 percent on the annual average estimate of unemployment level, assuming a 6-percent unemployment rate. Due to the national reliability criterion, estimates for several large States are substantially more reliable than the State design criterion requires. Annual average unemployment estimates Selection of sample households. Because the sample design is State based, the sampling ratio differs by State and depends on State population size as well as both national 169 and State reliability requirements. The State sampling ratios range roughly from 1 in every 100 households to 1 in every 3,000 households. The sampling ratio occasionally is modified slightly to hold the size of the sample relatively constant given the overall growth of the population. The sampling ratio used within a sample PSU depends on the probability of selection of the PSU and the sampling ratio for the State. In a sample PSU with a probability of selection of 1 in 10 and a State sampling ratio of 3,000, a withinPSU sampling ratio of 1 in 300 achieves the desired ratio of 1 in 3,000 for the stratum. The 1990 within-PSU sample design was developed using block-level data from the 1990 census. (The 1990 census was the first decennial census that produced data at the block level for the entire country.) Normally, census blocks are bounded by streets and other prominent physical features such as rivers or railroad tracks. County, minor civil division, and census place limits also serve as block boundaries. In cities, blocks can be bounded by four streets and be quite small in land area. In rural areas, blocks can be several square miles in size. For the purpose of sample selection, census blocks were grouped into three strata: Unit, group quarters, and area. (Occasionally, units within a block were split between the unit and group-quarters strata.) The unit stratum contained regular housing units with addresses that were easy to locate (for example, most single-family homes, townhouses, condominiums, apartment units, and mobile homes). The group-quarters stratum contained housing units in which residents shared common facilities or received formal or authorized care or custody. Unit and group-quarters blocks exist primarily in urban areas. The area stratum contains blocks with addresses that are more difficult to locate. Area blocks exist primarily in rural areas. To reduce the variability of the survey estimates and to ensure that the within-PSU sample would reflect the demographic and socioeconomic characteristics of the PSU, blocks within the unit, group-quarters, and area strata were sorted using geographic and block-level data from the census. Examples of the census variables used for sorting include proportion of minority renter-occupied housing units, proportion of housing units with female householders, and proportion of owner-occupied housing units. The specific sorting variables used differed by type of PSU (urban or rural) and stratum. Within each block, housing units were sorted geographically and grouped into clusters of approximately four units. A systematic sample of these clusters was then selected independently from each stratum using the appropriate withinPSU sampling ratio. The geographic clustering of the sample units reduces field representative travel costs. Prior to interviewing, special listing procedures are used to locate the particular sample addresses in the group-quarters and area blocks. Units in the three strata described above all existed at the time of the 1990 decennial census. Through a series of additional procedures, a sample of building permits is included in the CPS to represent housing units built after the decen- nial census. Adding these newly built units keeps the sample up-to-date and representative of the population. It also helps to keep the sample size stable: Over the life of the sample, the addition of newly built housing units compensates for the loss of "old" units that may be abandoned, demolished, or converted to nonresidential use. Rotation of sample. Part of the sample is changed each month. Each monthly sample is divided into eight representative subsamples or rotation groups. A given rotation group is interviewed for a total of 8 months, divided into two equal periods. It is in the sample for 4 consecutive months, leaves the sample during the following 8 months, and then returns for another 4 consecutive months. In each monthly sample, one of the eight rotation groups is in the first month of enumeration, another rotation group is in the second month, and so on. Under this system, 75 percent of the sample is common from month to month, and 50 percent is common from year to year for the same month. This procedure provides a substantial amount of month-to-month and year-toyear overlap in the sample, thus providing better estimates of change and reducing discontinuities in the data series without burdening any specific group of households with an unduly long period of inquiry. CPS sample, 1947 to present. Table 1-A provides a description of some aspects of the CPS sample designs in use since 1947. A more detailed account of the history of the CPS sample design appears in "The Current Population Survey: Design and Methodology," Technical Paper 63, (Washington, U.S. Census Bureau and Bureau of Labor Statistics, March 2000). available on the Internet at www.bls.census.gov/cps/tp/tp63.htm. A description of the 1990 census-based sample design appears in "Redesign of the Sample for the Current Population Survey," in the May 1994 issue of this publication. ESTIMATING METHODS Under the estimating methods used in the CPS, all of the results for a given month become available simultaneously and are based on returns from the entire panel of respondents. The estimation procedure involves weighting the data from each sample person by the inverse of the probability of the person being in the sample. This gives a rough measure of the number of actual persons that the sample person represents. Since 1985, most sample persons within the same State have had the same probability of selection. Some selection probabilities may differ within a State due to the sample design or for operational reasons. Field subsampling, for example, which is carried out when areas selected for the sample are found to contain many more households than expected, may cause probabilities of selection to differ for some sample areas within a State. Through a series of estimation steps (outlined below), the selection probabilities are adjusted for noninterviews and survey undercoverage; data from previous months are incorporated into the estimates through the composite estimation procedure. 170 Table 1 -A. Characteristics of the CPS sample, 1947 to present Period Aug. 1947 to Jan. 1954 Feb. 1954 to Apr. 1956 May 1956 to Dec. 1959 Jan. 1960 to Feb. 1963 Mar. 1963 to Dec. 1966 Jan. 1967 to July 1971 Aug. 1971 to July 1972 Aug. 1972 to Dec. 1977 Jan. 1978 to Dec. 1979 Jan. 1980 to Apr. 1981 May 1981 to Dec. 1984 Jan. 1985 to Mar. 1988 Apr. 1988 to Mar. 1989 April 1989 to Oct. 1994 3 Nov. 1994 to Aug.19954 Sept. 1995 to Dec. 1995 Jan. 1996 to present Households eligible Number of sample areas Interviewed 21,000 21,000 33,500 33,500 33,500 48,000 45,000 45,000 53,500 62,200 57,800 57,000 53,200 57,400 54,500 52,900 46,800 68 230 1 330 2 333 357 449 449 461 614 629 629 729 729 729 792 792 754 Not interviewed 500-1,000 500-1,000 1,500 1,500 1,500 2,000 2,000 2,000 2,500 2,800 2,500 2,500 2,600 2,600 3,500 3,400 3,200 Households visited but not eligible 3,000-3,500 3,000-3,500 6,000 6,000 6,000 8,500 8,000 8,000 10,000 12,000 11,000 11,000 11,500 11,800 10,000 9,700 9,000 1 Beginning in May 1956, these areas were chosen to provide coverage in each State and the District of Columbia. 2 Three sample areas were added in 1960 to represent Alaska and Hawaii after statehood. 3 The sample was increased incrementally during the 8-month period, AprilNovember 1989. 4 Includes 2,000 additional assigned housing units from Georgia and Virginia that were gradually phased in during the 10-month period, October 1994August1995. /. Noninterview adjustment The weights for all interviewed households are adjusted to account for occupied sample households for which no information was obtained because of absence, impassable roads, refusals, or unavailability of the respondents for other reasons. This noninterview adjustment is made separately for clusters of similar sample areas that are usually, but not necessarily, contained within a State. Similarity of sample areas is based on Metropolitan Statistical Area (MSA) status and size. Within each cluster, there is a further breakdown by residence. Each MSA cluster is split by "central city" and "balance of the MSA." Each non-MSA cluster is split by "urban" and "rural" residence categories. The proportion of sample households not interviewed varies from 6 to 7 percent, depending on weather, vacation, etc. that are not self-representing and for those States that have a substantial number of black households. The procedure corrects for differences that existed in each State cell at the time of the 1990 census between 1) the race distribution of the population in sample PSUs and 2) the race distribution of all PSUs. (Both 1 and 2 exclude self-representing PSUs.) b. Second-stage ratio estimation. This procedure substantially reduces the variability of estimates and corrects, to some extent, for CPS undercoverage. The CPS sample weights are adjusted to ensure that sample-based estimates of population match independent population controls. Three sets of controls are used: 1)51 State controls of the civilian noninstitutional population 16 years of age and older, 2. Ratio estimates. The distribution of the population selected for the sample may differ somewhat, by chance, from that of the population as a whole in such characteristics as age, race, sex, and State of residence. Because these characteristics are closely correlated with labor force participation and other principal measurements made from the sample, the survey estimates can be substantially improved when weighted appropriately by the known distribution of these population characteristics. This is accomplished through two stages of ratio adjustment, as follows: 2) National civilian noninstitutional population controls for 14 Hispanic and 5 non-Hispanic age-sex categories, 3) National civilian noninstitutional population controls for 66 white, 42 black, and 10 "other" age-sex categories. The independent population controls are prepared by projecting forward the resident population as enumerated on April 1, 1990. The projections are derived by updating demographic census data with information from a variety of other data sources that account for births, deaths, and net migration. Estimated numbers of resident Armed Forces personnel and institutionalized persons reduce the resident population to the civilian noninstitutional population. Esti- a. First-stage ratio estimation. The purpose of the firststage ratio adjustment is to reduce the contribution to variance that results from selecting a sample of PSUs rather than drawing sample households from every PSU in the Nation. This adjustment is made to the CPS weights in two race cells: Black and nonblack; it is applied only to PSUs 171 mates of net census undercount, determined from the Post Enumeration Survey, are added to the population projections. Prior to January 1994, the projections were based on earlier censuses, and there was no correction for census undercount. A summary of the current procedures used to make population projections is given in "Revisions in the Current Population Survey Effective January 1994," appearing in the February 1994 issue of this publication. about all persons in the sample; differences in the interpretation of questions; inability or unwillingness of respondents to provide correct information; inability of respondents to recall information; errors made in collecting and processing the data; errors made in estimating values for missing data; and failure to represent all sample households and all persons within sample households (undercoverage). Nonsampling errors occurring in the interview phase of the survey are studied by means of a reinterview program. This program is used to estimate various sources of error, as well as to evaluate and control the work of the interviewers. A random sample of each interviewer's work is inspected through reinterview at regular intervals. The results indicate, among other things, that the data published from the CPS are subject to moderate systematic biases. A description of the CPS reinterview program and some results may be found in "The Current Population Survey Reinterview Program, January 1961 through December 1966," Technical Paper No. 19 (Washington, U.S. Census Bureau, 1968). The effects of some components of nonsampling error in the CPS data can be examined as a result of the rotation plan used for the sample, because the level of the estimates varies by rotation group. A description appears in Barbara A. Bailar, "The Effects of Rotation Group Bias on Estimates from Panel Surveys," Journal of the American Statistical Association, March 1975, pp. 23-30. Undercoverage in the CPS results from missed housing units and missed persons within sample households. The CPS covers about 92 percent of the decennial census population (adjusted for census undercount). It is known that the CPS undercoverage varies with age, sex, race, and Hispanic origin. Generally, undercoverage is larger for men than for women and is larger for blacks, Hispanics, and other races than for whites. Ratio adjustment to independent agesex-race-origin population controls, as described previously, partially corrects for the biases due to survey undercoverage. However, biases exist in the estimates to the extent that missed persons in missed households or missed persons in interviewed households have characteristics different from those of interviewed persons in the same age-sex-race-origin group. Additional information on nonsampling error in the CPS appears in Camilla Brooks and Barbara Bailar, "An Error Profile: Employment as Measured by the Current Population Survey," Statistical Policy Working Paper 3 (Washington, U.S. Department of Commerce, Office of Federal Statistical Policy and Standards, September 1978); Marvin Thompson and Gary Shapiro, "The Current Population Survey: An Overview," Annals of Economic and Social Measurement, Vol. 2, April 1973; and "The Current Population Survey: Design and Methodology," Technical Paper 63 (Washington, U.S. Census Bureau and Bureau of Labor Statistics, March 2000), available on the Internet at www.bls.census.gov/cps/tp/tp63.htm. The last document includes a comprehensive discussion of various sources of errors and describes attempts to measure them in the CPS. 3. Composite estimation procedure. The last step in the preparation of most CPS estimates makes use of a composite estimation procedure. The composite estimate consists of a weighted average of two factors: The two-stage ratio estimate based on the entire sample from the current month and the composite estimate for the previous month, plus an estimate of the month-to-month change based on the six rotation groups common to both months. In addition, a bias adjustment term is added to the weighted average to account for relative bias associated with month-in-sample estimates. This month-in-sample bias is exhibited by unemployment estimates for persons in their first and fifth months in the CPS being generally higher than estimates obtained for the other months. The composite estimate results in a reduction in the sampling error beyond that which is achieved after the two stages of ratio adjustment. For some items, the reduction is substantial. The resultant gains in reliability are greatest in estimates of month-to-month change, although gains usually are also obtained for estimates of level in a given month, change from year to year, and change over other intervals of time. Rounding of estimates The sums of individual items may not alway equal the totals shown in the same tables because independent rounding of totals and components to the nearest thousand. Similarly, sums of percent distributions may not always equal 100 percent because of rounding. Differences, however, are insignificant. Reliability of the estimates An estimate based on a sample survey has two types of error — sampling error and nonsampling error. The estimated standard errors provided in this publication are approximations of the true sampling errors. They incorporate the effect of some nonsampling errors in response and enumeration, but do not account for any systematic biases in the data. Nonsampling error. The full extent of nonsampling error is unknown, but special studies have been conducted to quantify some sources of nonsampling error in the CPS. The effect of nonsampling error is small on estimates of relative change, such as month-to-month change; estimates of monthly levels tend to be affected to a greater degree. Nonsampling errors in surveys can be attributed to many sources, for example, the inability to obtain information 172 Table 1 -B. Approximate standard errors for major employment status categories (In thousands) Sampling error. When a sample, rather than the entire population, is surveyed, estimates differ from the true population values that they represent. This difference, or sampling error, occurs by chance, and its variability is measured by the standard error of the estimate. Sample estimates from a given survey design are unbiased when an average of the estimates from all possible samples would yield, hypothetically, the true population value. In this case, the sample estimate and its standard error can be used to construct approximate confidence intervals, or ranges of values that include the true population value with known probabilities. If the process of selecting a sample from the population were repeated many times, an estimate made from each sample, and a suitable estimate of its standard error calculated for each sample, then: Characteristic Total Total, 16 years and over: Civilian labor force. Employed Unemployed 1. Approximately 68 percent of the intervals from one standard error below the estimate to one standard error above the estimate would include the true population value. 2. Approximately 90 percent of the intervals from 1.645 standard errors below the estimate to 1.645 standard errors above the estimate would include the true population value. 267 273 131 174 177 166 Men, 20 years and over: Civilian labor force Employed Unemployed 184 196 83 120 128 106 Women, 20 years and over: Civilian labor force Employed Unemployed 209 215 11 136 140 98 Both sexes, 16 to 19 years: Civilian labor force Employed Unemployed 90 95 56 87 91 93 113 121 64 73 79 81 Men, 20 years and over: Civilian labor force Employed Unemployed 81 85 39 53 55 50 Women, 20 years and over: Civilian labor force Employed Unemployed 72 11 40 47 50 50 Both sexes, 16 to 19 years: Civilian labor force Employed Unemployed 42 39 28 40 38 46 90 100 54 59 65 69 Black Total, 16 years and over: Civilian labor force... Employed Unemployed 3. Approximately 95 percent of the intervals from 1.96 standard errors below the estimate to 1.96 standard errors above the estimate would include the true population value. These confidence interval statements are approximately true for the CPS. Although the estimating methods used in the CPS do not produce unbiased estimates, biases for most estimates are believed to be small. Methods for estimating standard errors reflect not only sampling errors but also some kinds of nonsampling error. Although both the estimates and the estimated standard errors depart from the theoretical ideal, the departures are minor and have little impact on the confidence interval statements. When clarity is needed, an estimated confidence interval is specified to be "approximate," as is the estimated standard error used in the computation. Tables 1 -B through 1 -D are provided so that approximate standard errors of estimates can be easily obtained. Tables 1 -B and 1 -C give approximate standard errors for estimated monthly levels and rates for selected employment status characteristics; the tables also provide approximate standard errors for consecutive month-to-month changes in the estimates. It is impractical to show approximate standard errors for all CPS estimates in this publication, so table 1-D provides parameters and factors that allow the user to calculate approximate standard errors for a wide range of estimated levels, rates, and percentages, and also changes over time. The parameters and factors are used in formulas that are commonly called generalized variance functions. The approximate standard errors provided in this publication are based on the sample design and estimation procedures as of 1996, and reflect the population levels and sample size as of that year. Standard errors for years prior Consecutive Monthly month-tolevel month change Hispanic origin Total, 16 years and over: Civilian labor force Employed Unemployed to 1996 may be roughly approximated by applying these adjustments to the standard errors presented here. (More accurate standard error estimates for historical CPS data may be found in previous issues of this publication.) 1. For the years 1967 through 1995, multiply the standard errors by 0.96. 2. For the years 1956 through 1966, multiply the standard errors by 1.17. 173 3. For years prior to 1956, multiply the standard errors by 1.44. Use of tables 1-B and 1-C. These tables provide a quick reference for standard errors of major characteristics. Table Table 1 -C. Approximate standard errors for unemployment rates by major characteristics 1-B gives approximate standard errors for estimates of monthly levels and consecutive month-to-month changes in levels for major employment status categories. Table 1-C gives approximate standard errors for estimates of monthly unemployment rates and consecutive month-to-month changes in unemployment rates for some demographic, occupational, and industrial categories. For characteristics not given in tables 1 -B and 1 -C, refer to table 1 -D. (In percent) Characteristic Total Men Men, 20 years and over Women Women, 20 years and over Both sexes, 16 to 19 years White Black Hispanic origin Married men, spouse present Married women, spouse present Women who maintain families Consecutive Monthly month-torate month change 0.09 .12 .12 .13 .13 .66 .10 .39 .37 .12 .14 .43 0.12 .16 .15 .17 .16 1.08 .12 .49 .47 .15 .18 .54 .12 .15 .17 .16 .21 .21 .16 .39 .27 .21 .49 .34 .23 .29 1.51 .58 .29 .37 1.92 .74 .33 .28 .40 .50 .42 .35 .50 .64 .50 .30 .63 .38 .45 .57 .45 .58 .66 1.80 .84 2.29 .69 .72 .88 .91 .11 .22 1.67 .51 .23 .29 .38 .12 .14 .27 2.12 .65 .29 .36 .48 .16 .34 .23 .29 .18 .18 1.07 .43 .30 .37 .23 .23 1.36 Illustration. Suppose that, for a given month, the number of women age 20 years and over in the civilian labor force is estimated to be 60,000,000. For this characteristic, the approximate standard error of 245,000 is given in table 1 -B in the row "Women, 20 years and over; Civilian labor force." To calculate an approximate 90-percent confidence interval, multiply the standard error of 245,000 by the factor 1.645 to obtain 403,000. This number is subtracted from and then added to 60,000,000 to obtain an approximate 90-percent confidence interval: 59,597,000 to 60,403,000. Concluding that the true civilian labor force level lies within an interval calculated in this way would be correct for roughly 90 percent of all possible samples that could have been selected for the CPS. Occupation Managerial and professional specialty Executive, administrative, and managerial Professional specialty Technical, sales, and administrative support Technicians and related support Sales occupations Administrative support, including clerical Service occupations Private household Protective service Service, except private household and protective Precision production, craft, and repair Mechanics and repairers Construction trades Other precision production, craft, and repair Operators, fabricators, and laborers Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers Construction laborers Other handlers, equipment cleaners, helpers, and laborers Farming, forestry, and fishing Use of table 1-D. This table gives a and b parameters that can be used with formulas to calculate approximate monthly standard errors for a wide range of estimated levels, proportions, and rates. Factors are provided to convert monthly measures into approximate standard errors of estimates for other periods (quarterly and yearly averages) and approximate standard errors for changes over time (consecutive monthly changes, changes in consecutive quarterly and yearly averages, and changes in monthly estimates 1 year apart). The standard errors for estimated changes in level from one month to the next, one year to the next, etc., depend more on the monthly levels for characteristics than on the size of the changes. Likewise, the standard errors for changes in rates (or percentages) depend more on the monthly rates (or percentages) than on the size of the changes. Accordingly, the factors presented in table 1-D are applied to the monthly standard error approximations for levels, percentages, or rates; the magnitudes of the changes do not come into play. Factors are not given for estimated changes between nonconsecutive months (except for changes of monthly estimates 1 year apart); however, the standard errors may be assumed to be higher than the standard errors for consecutive monthly changes. Industry Nonagricultural private wage and salary workers Goods-producing industries Mining Construction Manufacturing Durable goods Nondurable goods Service-producing industries Transportation, communications, and public utilities Wholesale and retail trade Finance, insurance, and real estate .. Services Government workers Agricultural wage and salary workers Standard errors of estimated levels using table 1-D. The approximate standard error se(x) of x, an estimated monthly level, can be obtained using the formula below, where a and b are the parameters from table i -D associated with a particular characteristic. 2 se (x) = y/ax + bx 174 Illustration. Assume that, in a given a month, there are an estimated 3 million unemployed men. Obtain the appropriate a and b parameters from table 1-D (Total or white; Men; Unemployed). Use the formula for se(x) to compute an approximate standard error on the estimate of x = 3,000,000. a - -0.0000348 Step 3. Determine the standard error se (x,f) on the average level or on the change in level. Multiply the result from step 2 by the appropriate factor /. The a and b parameters used in step 2 and the factor/used in this step come from the same line in table 1-D. b = 2927.43 Illustration of a standard error computation for consecutive month change in level. Continuing the previous example, suppose that in the next month the estimated number of unemployed men increases by 150,000, from 3,000,000 to 3,150,000. 5^(3,000,000) = V-0.0OOO348(3,OOO,0OO)2+ 2927.43 (3,000,000) « 92,000 Procedure for using table 1-D factors for levels. Table 1-D gives factors that can be used to compute approximate standard errors of levels for other periods or for changes over time. For each characteristic, factors / a r e given for: Step 1. The average of the two monthly levels is x = 3,075,000. Step 2. Apply the a and b parameters from table 1-D (Total or white; Men; Unemployed) to the average x, treating it like an estimate for a single month. Consecutive month-to-month changes Changes in monthly estimates 1 year apart Quarterly averages a - -0.0000348 b - 2927.43 Changes in consecutive quarterly averages Yearly averages 5^(3,075,000) = V- 0.0000348(3,075,000)2 + 2927.43 (3,075,000) « 93,000 Changes in consecutive yearly averages Step 3. Obtain/= 1.27 from the same row of table 1-D in the column "Consecutive month-to-month change," and multiply the factor by the result from step 2. For a given characteristic, the table 1-D factor is used in the following formula, which also uses the a and b parameters from the same line of the table. A three-step procedure for using the formula is given. The/in the formula is frequently called an adjustment factor, because it appears to adjust a monthly standard error se(x). However, the x in the formula is not a monthly level, but an average of several monthly levels (see examples listed under Step 1, below). se(x, se{\ 50,000) = / * ^(3,075,000) = 1.27 * 93,000 -118,000 For an approximate 90-percent confidence interval, compute 1.645 * 118,000 « 194,000. Subtract the number from and add the number to 150,000 to obtain an interval of -44,000 to 344,000. This is an approximate 90-percent confidence interval for the true change, and since this interval includes zero, one cannot assert at this level of confidence that any real change has occurred in the unemployment level. The result also can be expressed by saying that the apparent change of 150,000 is not significant at a 90percent confidence level. f) = f * se(x) = / * yl(ax2+bx) where x is an average of monthly levels over a designated period. Step 1. Average monthly levels appropriately in order to obtain x. Levels for 3 months are averaged for quarterly averages, and those for 12 months are averaged for yearly averages. For changes in consecutive averages, average over the 2 months, 2 quarters, or 2 years involved. For changes in monthly estimates 1 year apart, average the 2 months involved. Illustration of a standard error computation for quarterly average level. Suppose that an approximate standard error is desired for a quarterly average of the black employment level. Suppose that the estimated employment levels for the 3 months making up the quarter are 14,900,000, 15,000,000, and 15,100,000. Step 1. The average of the three monthly levels is x = 15,000,000. Step 2. Calculate an approximate standard error se(x), treating the average x from step 1 as if it were an estimate of level for a single month. Obtain parameters a and b from table 1-D. (Note that, for some characteristics, an approximate standard error of level could instead be obtained from table 1-B and used in place of se(x) in the formula.) Step 2. Apply the a and b parameters from table 1-D (Black; Total; Civilian labor force, employed, and not in labor force) to the average x, treating it like an estimate for a single month. 175 a - -0.0001541 b - 3295.99 the base y and the numerator of/? are from different categories within the table, use the b parameter from table 1-D relevant to the numerator of the rate or percentage. ^(15,000,000) ->/-O-OOO154ia5,OOO,OOQ2 +3295.99 (15,200,000) « 122,000 Step 3. Obtain/= .86 from the same row of table 1-D in the column "Quarterly averages," and multiply the factor by the result from step 2. se(p,y)=l-p(\00-p) Note that se(p,y) is in percent. ^(15,000,000) = .86*122,000 «105,000 Illustration. For a given month, suppose y = 6,200,000 women 20 to 24 years of age are estimated to be employed. Of this total, 2,000,000, or p = 32 percent, are classified as part-time workers. Obtain the parameter b = 3005.06 from the table 1-D row (Employment; Part-time workers) that is relevant to the numerator of the percentage. Apply the formula to obtain: Illustration of a standard error computation for change in quarterly level. Continuing the example, suppose that, in the next quarter, the estimated average employment level for blacks is 15,400,000, based on monthly levels of 15,300,000, 15,400,000, and 15,500,000. This is an estimated increase of 400,000 over the previous quarter. Step 1. The average of the two quarterly levels is x = 15,200,000. , _ /3005.I 3005.06 (32)(100-32) »1.0 percent se(p,y) = J 200,000 y Step 2. Apply the a and b parameters from table 1-D (Black; Total; Civilian labor force, employed, and not in labor force) to the average x, treating it like an estimate for a single month. a - -0.0001541 V6,200,( For an approximate 95-percent confidence interval, compute 1.96 * 1.0 percent, and round the result to 2 percent. Subtract this from and add this to the estimate of p = 32 percent to obtain an interval of 30 percent to 34 percent. b = 3295.99 Procedure for using table 1-D factors for rates and percentages. Table 1-D factors can be used to compute approximate standard errors on rates and percentages for other periods or for changes over time. As for levels, there are three steps in the procedure for using the formula. 5^(15,200,000) = V-0.0001541 (15,200,000) 2 + 3295.99 (15,200,000) « 120,000 Step 3. Obtain/= .78 from the same row of table 1-D in the column "Change in consecutive quarterly averages," and multiply the factor by the result from step 2. 5^(400,000) = .78 * se{\ 5,200,000) = .78*120,000 « 94,000 where p and y are averages of monthly estimates over a designated period. Note that se (p,y,f) is in percent. For an approximate 95-percent confidence interval, compute 1.96 * 94,000 « 184,000. Subtract the number from and add the number to 400,000 to obtain an interval of 216,000 to 584,000. The interval excludes zero. Another way of stating this is to observe that the estimated change of 400,000 clearly exceeds 1.96 standard errors, or 184,000. One can conclude from these data that the change in quarterly averages is significant at a 95-percent confidence level. Step 1. Appropriately average estimates of monthly rates or percentages to obtain /?, and also average estimates of monthly levels to obtain y. Rates for 3 months are averaged for quarterly averages, and those for 12 months are averaged for yearly averages. For changes in consecutive averages, average over the 2 months, 2 quarters, or 2 years involved. For changes in monthly estimates 1 year apart, average the 2 months involved. Standard errors of estimated rates and percentages using table I'D. As shown in the formula below, the approximate standard error se(p,y) of an estimated rate or percentage p depends, in part, upon the number of persons y in its base or denominator. Generally, rates and percentages are not published unless the monthly base is greater than 75,000 persons, the quarterly average base is greater than 60,000 persons, or the yearly average base is greater than 35,000 persons. The b parameter is obtained from table 1-D. When Step 2. Calculate an approximate standard error se (p, y), treating the averages p and y from step 1 as if they were estimates for a single month. Obtain the b parameter from the table 1-D row that describes the numerator of the rate or percentage. (Note that, for some characteristics, an approximate standard error could instead be obtained from table 1-C and used in place of se (/?, y) in the formula.) 176 Step 3. Determine the standard error se (p, y,f) on the average level or on the change in level. Multiply the result from step 2 by the appropriate factor/. The b parameter used in step 2 and the factor/used in this step come from the same line in table 1-D. (Employment; Part-time workers) to the averaged p and y, treating the averages like estimates for a single month. Illustration of a standard error computation for consecutive month change in percentage. Continuing the previous example, suppose that, in the next month, 6,300,000 women 20 to 24 years of age are reported employed, and that 2,150,000, or 34 percent, are part-time workers. Step 3. Obtain/^ .65 from the same row of table 1-D in the column "Consecutive month-to-month change," and multiply the factor by the result from step 2. Step 1. The month-to-month change is 2 percent = 34 percent - 32 percent. The average of the two monthly percentages of 32 percent and 34 percent is needed (p = 33 percent), as is the average of the two bases of 6,200,000 and 6,300,000 (y = 6,250,000). For an approximate 95-percent confidence interval, compute 1.96 * .65 percent, and round the result to 1.3 percent. Subtract this from and add this to the 2-percent estimate of change to obtain an interval of 0.7 percent to 3.3 percent. Because this interval excludes zero, it can, be concluded at a 95-percent confidence level that the change is significant. 3005.06 (33)(100-33) »1.0 percent 6,250,000 se(2%) = .65 * 1.0 percent = .65 percent Step 2. Apply the b = 3005.06 parameter from table 1-D 177 Table 1 -D. Parameters and factors for computation of approximate standard errors for estimates of monthly levels Parameters Characheristic Factors Consecutive Year-to-year month-tochange month of monthly change estimates Quarterly averages Change in consecutive quarterly averages Yearly averages Change in consecutive yearly Total or white Total: Civilian labor force, employed, and not in labor force Unemployed -0.0000077 - .0000174 1586.29 3005.06 0.65 1.27 1.22 1.38 0.87 .72 0.77 .91 0.68 .42 0.81 .57 Men: Civilian labor force, employed, and not in labor force Unemployed .0000348 .0000348 2927.43 2927.43 .65 1.27 1.23 1.39 .86 .72 .79 .91 .66 .43 .80 .57 Women: Civilian labor force, employed, and not in labor force Unemployed .0000325 .0000325 2693.27 2693.27 .65 1.27 1.22 1.39 .87 .71 .78 .90 .67 .41 .81 .55 Both sexes, 16 to 19 years: Civilian labor force, employed, and not in labor force Unemployed .0002436 .0002436 3005.06 3005.06 .96 1.65 1.32 1.37 .81 .68 .87 .88 .55 .40 .71 .53 Total: Civilian labor force, employed, and not in labor force Unemployed .0001541 .0001541 3295.99 3295.99 .65 1.28 1.22 1.38 .86 .73 .78 .90 .66 .43 .80 .58 Men: Civilian labor force, employed, and not in labor force Unemployed .0003361 .0003361 3332.28 3332.28 .65 1.27 1.25 1.37 .84 .73 .82 .91 .62 .43 .76 .58 Women: Civilian labor force, employed, and not in labor force Unemployed .0002821 .0002821 2944.26 2944.26 .65 1.27 1.27 1.39 .84 .71 .80 .90 .64 .41 .78 .56 Both sexes, 16 to 19 years: Civilian labor force, employed, and not in labor force Unemployed .0015306 .0015306 3295.99 3295.99 .96 1.65 1.33 1.37 .80 .68 .85 .86 .56 .41 .70 .52 Total: Civilian labor force, employed, and not in labor force Unemployed .0001868 .0001868 3295.99 3295.99 .65 1.28 1.20 1.38 .86 .71 .82 .90 .65 .42 .78 .56 Men: Civilian labor force, employed, and not in labor force Unemployed .0003630 .0003630 3332.28 3332.28 .65 1.29 1.26 1.38 .84 .71 .82 .90 .62 .41 .76 .55 Women: Civilian labor force, employed, and not in labor force Unemployed .0003800 .0003800 2944.26 2944.26 .65 1.27 1.21 1.38 .86 .71 .84 .89 .63 .41 .76 .55 Both sexes, 16 to 19 years: Civilian labor force, employed, and not in labor force Unemployed .0018224 .0018224 3295.99 3295.99 .96 1.65 1.34 1.42 .81 .70 .84 .89 .58 .41 .73 .55 Black Hispanic origin 178 Table 1 -D. Parameters and factors for computation of approximate standard errors for estimates of monthly levels—Continued Parameters Factors Consecutive Year-to-year month-tochange month of monthly change estimates Characheristic Quarterly averages Change in consecutive quarterly averages Yearly averages Change in consecutive yearly averages Employment Educational attainment -0.0000174 3005.06 0.65 1.11 0.87 0.92 0.61 0.74 Marital status, men Marital status, women Women who maintain families .. - .0000348 - .0000325 - .0000325 2927.43 2693.27 2693.27 .65 .65 .65 1.15 1.18 1.18 .86 .85 .85 .93 .94 .94 .59 .57 .57 .72 .72 .72 Mining and manufacturing Other industries and occupations - .0000174 3005.06 .37 .98 .91 .78 .74 .84 - .0000174 3005.06 .65 1.25 .85 .97 .55 .70 Agriculture: Total Wage and salary workers Self-employed workers Unpaid family workers .0013447 .0013447 .0013447 .0013447 2989.22 2989.22 2989.22 2989.22 .62 .62 .65 .65 1.22 1.22 .92 1.21 .84 .84 .91 .80 .91 .91 .80 .96 .57 .57 .73 .49 .72 .72 .82 .61 Nonagricultural industries: Total Wage and salary workers Self-employed workers Unpaid family workers -.0000174 - .0000174 - .0000174 .0000174 3005.06 3005.06 3005.06 3005.06 .65 .65 .65 .65 1.15 1.13 1.15 1.26 .88 .88 .87 .81 .75 .84 .96 .95 .71 .67 .58 .50 .83 .79 .71 .65 - .0000174 - .0000174 - .0000174 3005.06 3005.06 .65 .65 1.17 1.27 .85 .81 .92 .89 .59 .55 .72 .69 3005.06 1.27 1.29 .78 .91 .50 .64 - .0000174 .0000174 .0000174 .0000174 .0000174 .0000174 .0000174 3005.06 3005.06 3005.06 3005.06 3005.06 3005.06 3005.06 .65 1.65 1.27 1.65 1.27 1.65 1.27 1.21 1.36 1.33 1.34 1.30 1.34 1.25 .84 .67 .73 .67 .76 .71 .78 .77 .86 .88 .86 .87 .86 .86 .66 .38 .45 .39 .51 .45 .53 .79 .51 .58 .51 .64 .57 .65 - .0000174 3005.06 1.47 1.37 .67 .87 .39 .52 - .0000174 3005.06 1.27 1.29 .74 .85 .49 .62 - .0000174 3005.06 1.27 1.38 .72 .91 .42 .57 2927.43 2693.27 2693.27 1.27 1.27 1.27 1.39 1.39 1.39 .72 .71 .71 .91 .90 .90 .43 .41 .41 .57 .55 .55 Full-time workers Part-time workers Multiple jobholders At work Total and nonagricultural industries: Total 1 to 4 and 5 to 14 hours 15 to 29 hours 30 to 34 or 35 to 39 hours 1 to 34 or 40 hours 41 to 48 or 49 to 59 hours 35+, 41 +, or 60+ hours Part time for economic reasons Part time for noneconomic reasons Unemployment Educational attainment Marital status, men Marital status, women Women who maintain families .. - .0000348 - .0000325 - .0000325 Industries and occupations - .0000174 3005.06 1.27 1.38 .72 .91 .42 .57 Full-time workers Part-time workers - .0000174 - .0000174 3005.06 3005.06 1.27 1.65 1.38 1.40 .72 .69 .91 .88 .42 .40 .57 .53 Less than 5 weeks 5 to 14 weeks 15 to 26 weeks 15+or 27+weeks - .0000174 .0000174 .0000174 .0000174 3005.06 3005.06 3005.06 3005.06 1.27 1.65 1.65 1.27 1.38 1.37 1.39 1.42 .72 .66 .67 .75 .91 .88 .89 .93 .42 .35 .36 .44 .57 .50 .50 .60 .0000174 .0000174 3005.06 3005.06 1.27 1.65 1.38 1.35 .72 .68 .91 .87 .42 .40 .57 .53 - .0000077 1586.29 .65 1.22 .87 .77 .68 .81 - .0000174 3005.06 1.65 1.41 .63 .83 .36 .48 All reasons for unemployment, except temporary layoff On temporary layoff Not in the labor force Total Persons who currently want a job and discouraged workers 179 Establishment Data ("B" tables) DATA COLLECTION BLS cooperates with State Employment Security Agencies in the Current Employment Statistics (CES) or establishment survey to collect data each month on employment, hours, and earnings from a sample of nonfarm establishments (including government). This sample includes about 300,000 reporting units. From these data, a large number of employment, hours, and earnings series in considerable industry and geographic detail are prepared and published each month. Historical statistics are available at http://stats.bls.gov, the BLS Internet site. Each month, BLS and the State agencies collect data on employment, payrolls, and paid hours from a sample of establishments. Data are collected by touchtone data entry (TDE) from most respondents. Under the TDE system, the respondent uses a touchtone telephone to call a toll-free number and activate an interview session. The questionnaire resides on the computer in the form of prerecorded questions that are read to the respondent. The respondent enters numeric responses by pressing the touchtone phone buttons. Each answer is read back for respondent verification. A majority of sample units use TDE. For establishments that do not use TDE, data are collected mostly by mail, FAX, or Electronic Data Interchange (EDI), through sites established on the World Wide Web, or on magnetic tape or computer diskette. Computer-assisted telephone interviewing (CATI) is used for a small number of respondents (5 percent). Chart 1 shows the percentages of the stablishments using different data collection methods. All reports are edited by the State agencies each month to make sure that the data are correctly reported and that they are consistent with the data reported by the establishment in earlier months. The State agencies forward the data to BLSWashington. They also use the data to develop State and area Chart 1: Distribution of CES sample by collection mode Tape/diskette 7% FAX /EDI/WEB 11% 180 estimates of employment, hours, and earnings. At BLS, the data are edited again by computer to detect processing and reporting errors that may have been missed in the initial State editing; the edited data are used to prepare national estimates. It should be noted that, in the case of employment, the sum of the State figures will differ from the official U.S. national totals because of the effects of differing industrial and geographic stratification and differences in the timing of benchmark adjustments. CONCEPTS Industrial classification Establishments reporting on Form BLS 790 are classified into industries on the basis of their principal product or activity, as determined from information on annual sales volume. Since January 1980, this information has been collected on a supplement to the quarterly unemployment insurance tax reports filed by employers. For an establishment making more than one product or engaging in more than one activity, the entire employment of the establishment is included under the industry indicated by the principal product or activity. All data on employment, hours, and earnings for the Nation (beginning with August 1990 data) and for States and areas (beginning with January 1990 data) are classified in accordance with the 1987 Standard Industrial Classification Manual (SIC), U.S. Office of Management and Budget. Industry employment Employment data, except those for the Federal Government, refer to persons on establishment payrolls who received pay for any part of the pay period that includes the 12th day of the month. For Federal Government establishments, employment figures represent the number of persons who occupied positions on the last day of the calendar month. Intermittent workers are counted if they performed any service during the month. The data exclude proprietors, the self-employed, unpaid volunteer or family workers, farmworkers, and domestic workers. Salaried officers of corporations are included. Government employment covers only civilian employees; military personnel are excluded. Employees of the Central Intelligence Agency and the National Security Agency also are excluded. Persons on establishment payrolls who are on paid sick leave (for cases in which pay is received directly from the firm), on paid holiday, or on paid vacation, or who work during a part of the pay period even though they are unemployed or on strike during the rest of the period are counted as employed. Not counted as employed are persons who are on layoff, on leave without pay, or on strike for the entire period, or who were hired but have not yet reported during the period. ing at the site of construction or in shops or yards at jobs (such as precutting and preassembling) ordinarily performed by members of the construction trades. Indexes of diffusion of employment change. These indexes measure the dispersion among industries of the change in employment over the specified timespan. The overall indexes are calculated from 356 seasonally adjusted employment series (3-digit industries) covering all nonfarm payroll employment in the private sector. The manufacturing diffusion indexes are based on 139 3-digit industries. To derive the indexes, each component industry is assigned a value of 0, 50, or 100 percent, depending on whether its employment showed a decrease, no change, or an increase, respectively, over the timespan. The average value (mean) is then calculated, and this percent is the diffusion index number. The reference point for diffusion analysis is 50 percent, the value indicating that the same number of component industries had increased as had decreased. Index numbers above 50 show that more industries had increasing employment and values below 50 indicate that more had decreasing employment. The margin between the percent that increased and the percent that decreased is equal to the difference between the index and its complement—that is, 100 minus the index. For example, an index of 65 percent means that 30 percent more industries had increasing employment than had decreasing employment (65-( 100-65) = 30). However, for dispersion analysis, the distance of the index number from the 50-percent reference point is the most significant observation. Although diffusion indexes commonly are interpreted as showing the percent of components that increased over the timespan, it should be remembered that the index reflects half of the unchanged components as well. (This is the effect of assigning a value of 50 percent to the unchanged components when computing the index.) Nonsupervisory employees. These are employees (not above the working-supervisor level) such as office and clerical workers, repairers, salespersons, operators, drivers, physicians, lawyers, accountants, nurses, social workers, research aides, teachers, drafters, photographers, beauticians, musicians, restaurant workers, custodial workers, attendants, line installers and repairers, laborers, janitors, guards, and other employees at similar occupational levels whose services are closely associated with those of the employees listed. Payroll This refers to the payroll for full- and part-time production, construction, or nonsupervisory workers who received pay for any part of the pay period that includes the 12th day of the month. The payroll is reported before deductions of any kind, such as those for old-age and unemployment insurance, group insurance, withholding tax, bonds, or union dues; also included is pay for overtime, holidays, and vacation, and for sick leave paid directly by the firm. Bonuses (unless earned and paid regularly each pay period); other pay not earned in the pay period reported (such as retroactive pay); tips; and the value of free rent, fuel, meals, or other payment in kind are excluded. Employee benefits (such as health and other types of insurance, contributions to retirement, and so forth, paid by the employer) also are excluded. Hours. These are the hours paid for during the pay period that includes the 12th of the month for production, construction, or nonsupervisory workers. Included are hours paid for holidays and vacations, and for sick leave when pay is received directly from the firm. Industry hours and earnings Average hours and earnings data are derived from reports of payrolls and hours for production and related workers in manufacturing and mining, construction workers in construction, and nonsupervisory employees in private service-producing industries. Overtime hours. These are hours worked by production or related workers for which overtime premiums were paid because the hours were in excess of the number of hours of either the straight-time workday or the workweek during the pay period that included the 12th of the month. Weekend and holiday hours are included only if overtime premiums were paid. Hours for which only shift differential, hazard, incentive, or other similar types of premiums were paid are excluded. Production and related workers. This category includes working supervisors and all nonsupervisory workers (including group leaders and trainees) engaged in fabricating, processing, assembling, inspecting, receiving, storing, handling, packing, warehousing, shipping, trucking, hauling, maintenance, repair, janitorial, guard services, product development, auxiliary production for plant's own use (for example, power plant), recordkeeping, and other services closely associated with the above production operations. Average weekly hours. The workweek information relates to the average hours for which pay was received and is different from standard or scheduled hours. Such factors as unpaid absenteeism, labor turnover, part-time work, and stoppages cause average weekly hours to be lower than scheduled hours of work for an establishment. Group averages further reflect changes in the workweek of component industries. Construction workers. This group includes the following employees in the construction division: Working supervisors, qualified craft workers, mechanics, apprentices, helpers, laborers, and so forth, engaged in new work, alterations, demolition, repair, maintenance, and the like, whether work- 181 Indexes of aggregate weekly hours. The indexes of aggregate weekly hours are prepared by dividing the current month's aggregate by the average of the 12 monthly figures for 1982. For basic industries, the hours aggregates are the product of average weekly hours and production worker or nonsupervisory worker employment. At all higher levels of industry aggregation, hours aggregates are the sum of the component aggregates. from the definition of gross payrolls used to calculate the other average hourly earnings series. For each sample establishment in SIC 3721 and SIC 3761 covered by a lump-sum agreement, the reported payroll data are adjusted to include a prorated portion of the lump-sum payment. Such payments generally are made once a year and cover the following 12-month period. In order to spread the payment across this period, a prorated portion of the payment is added to the payroll each month. This prorated portion is adjusted by an exit rate to reduce the lump-sum amount to account for persons who received the payment but left before the payment allocation period expired. Average overtime hours. Overtime hours represent that portion of average weekly hours that exceeded regular hours and for which overtime premiums were paid. If an employee were to work on a paid holiday at regular rates, receiving as total compensation his or her holiday pay plus straight-time pay for hours worked that day, no overtime hours would be reported. Because overtime hours are premium hours by definition, weekly hours and overtime hours do not necessarily move in the same direction from month to month. Such factors as work stoppages, absenteeism, and labor turnover may not have the same influence on overtime hours as on average hours. Diverse trends at the industry group level also may be caused by a marked change in hours for a component industry in which little or no overtime was worked in both the previous and current months. Average hourly earnings, excluding overtime. Average hourly earnings, excluding overtime-premium pay, are com-; puted by dividing the total production worker payroll for the industry group by the sum of total production worker hours and one-half of total overtime hours. No adjustments are made for other premium payment provisions, such as holiday pay, late-shift premiums, and overtime rates other than time and one-half. Railroad hours and earnings. The figures for Class I railroads plus Amtrak (excluding switching and terminal companies) are based on monthly data summarized in the M-300 report of the Interstate Commerce Commission, and relate to all employees except executives, officials, and staff assistants (ICC group I) who received pay during the month. Average hourly earnings are computed by dividing total compensation by total hours paid for. Average weekly hours are obtained by dividing the total number of hours paid for, reduced to a weekly basis, by the number of employees. Multiplying average weekly hours by average hourly earnings yields average weekly earnings. Average hourly earnings. Average hourly earnings are on a "gross" basis. They reflect not only changes in basic hourly and incentive wage rates, but also such variable factors as premium pay for overtime and late-shift work and changes in output of workers paid on an incentive plan. They also reflect shifts in the number of employees between relatively high-paid and low-paid work and changes in workers' earnings in individual establishments. Averages for groups and divisions further reflect changes in average hourly earnings for individual industries. Averages of hourly earnings differ from wage rates. Earnings are the actual return to the worker for a stated period; rates are the amount stipulated for a given unit of work or time. The earnings series do not measure the level of total labor costs on the part of the employer because the following are excluded: Irregular bonuses, retroactive items, payments of various welfare benefits, payroll taxes paid by employers, and earnings for those employees not covered under production worker, construction worker, or nonsupervisory employee definitions. Average weekly earnings. These estimates are derived by multiplying average weekly hours estimates by average hourly earnings estimates. Therefore, weekly earnings are affected not only by changes in average hourly earnings but also by changes in the length of the workweek. Monthly variations in such factors as the proportion of part-time workers, stoppages for varying reasons, labor turnover during the survey period, and absenteeism for which employees are not paid may cause the average workweek to fluctuate. Long-term trends of average weekly earnings can be affected by structural changes in the makeup of the workforce. For example, persistent long-term increases in the proportion of part-time workers in retail trade and many of the services industries have reduced average workweeks in these industries and have affected the average weekly earnings series. Average hourly earnings, including lump-sum wage payments. These series are compiled only for aircraft (SIC 3721) and guided missiles and space vehicles (SIC 3761) manufacturing. The same concepts and estimation methods apply to these series as apply to the average hourly earnings series described above; the one difference between the series is definitional. The payroll data used to calculate these series include lump-sum payments made to production workers in lieu of general wage rate increases; such payments are excluded Real earnings. These earnings are in constant dollars and are calculated from the earnings averages for the current month using a deflator derived from the Consumer Price Index for Urban Wage Earnings and Clerical Workers (CPI-W). The reference year for these series is 1982. 182 putation of bias adjustment factors for each month. Bias factors are updated to take into account the most recent experience of the estimates generated by the monthly sample versus the full universe counts derived from the UI. Following the revision of basic employment estimates, all other derivative series (such as number of production workers and average hourly earnings) also are recalculated. New seasonal adjustment factors are calculated and all data series for the previous 5 years are re-seasonally adjusted before full publication of all revised data in June of each year. ESTIMATING METHODS [NOTE: This section and the next apply to all industries except those in the wholesale trade major industry division. (See the section on CES sample redesign for information on wholesale trade.)] The Current Employment Statistics (CES) or establishment survey estimates of employment are generated through an annual benchmark and monthly sample link procedure. Annual universe counts or benchmark levels are generated primarily from administrative records on employees covered by unemployment insurance (UI) tax laws. These annual benchmarks, established for March of each year, are projected forward for each subsequent month based on the trend of the sample employment, using an estimation procedure called the link relative. Benchmarks and sample link relatives are computed for each basic estimating cell and summed to create aggregate-level employment estimates. Monthly estimation Estimates are derived from a sample of approximately 300,000 business establishments nationwide. A current month's estimate is derived as the product of the previous month's estimate and a sample link relative for the current month. A bias adjustment factor is then applied to this result, primarily to account for new business births during the month. Stratification. The sample is stratified into basic estimating cells for purposes of computing national employment, hours, and earnings estimates. Cells are defined primarily by detailed industry, and secondarily by size, for a majority of cells. In a few industries, mostly within the construction division, geographic stratification also is used. Industry classification is in accordance with the 1987 Standard Industrial Classification Manual (SIC); most estimation cells are defined at the 4-digit SIC level. This detailed stratification pattern allows for the production and publication of estimates in considerable industry detail. Sub-industry stratification by size is important because major statistics that the survey measures, particularly employment change and average earnings, often vary significantly between establishments of different size. Stratification reduces the variance of the published industry-level estimates. Benchmarks For the establishment survey, annual benchmarks are constructed in order to realign the sample-based employment totals for March of each year with the Ul-based population counts for March. These population counts are much less timely than sample-based estimates; however, they provide an annual point-in-time census for employment. Population counts are derived from the administrative file of employees covered by UI. All employers covered by UI laws are required to report employment and wage information to the appropriate State Employment Security Agency four times a year. Approximately 99 percent of private employment within the scope of the establishment survey is covered by UI. A benchmark for the remaining 1 percent is constructed from alternate sources, primarily records from the Interstate Commerce Commission and the Social Security Administration. The full benchmark developed for March replaces the March sample-based estimate for each basic cell. The monthly sample-based estimates for the year preceding and the year following the benchmark are also then subject to revision. Monthly estimates for the year preceding the March benchmark are readjusted using a "wedge back" procedure. The difference between the final benchmark levei and the previously published March sample estimate is calculated and spread back across the previous 11 months. The wedge is linear; eleven-twelfths of the March difference is added to the February estimate, ten-twelfths to the January estimate, and so on, back to the previous April estimate, which receives one-twelfth of the March difference. This assumes that the total estimation error since the last benchmark accumulated at a steady rate throughout the current benchmark year. Estimates for the 11 months following the March benchmark also are recalculated each year. These postbenchmark estimates reflect the application of sample-based monthly changes to new benchmark levels for March, and the recom- Link relative technique. A ratio of the previous to the current month's employment is computed from a sample of establishments reporting for both months—this ratio is called a "link relative." For each basic cell, a link relative is computed and applied to the previous month's employment estimate to derive the current month's estimate. Thus, a March benchmark is moved forward to the next March benchmark through application of monthly link relatives. Basic cell estimates created through the link relative technique are aggregated to form published industry level estimates for employment, as described in table 2-A. Basic estimation and aggregation methods for the hours and earnings data also are shown in table 2-A. Bias adjustment. Except for the wholesale trade division, bias adjustment factors are computed at the 3-digit SIC level and applied each month at the basic cell level, as part of the standard estimation procedures. The main purpose of bias adjustment is to reduce a primary source of nonsampling er183 Table 2-A. Summary of methods for computing industry statistics on employment, hours, and earnings for the non-probability-based and the probability-based sample estimates Non-probability sample Employment, hours, and earnings Probability sample Basic estimating cell (industry, Basic estimating cell (industry, region, size, or region/size cell) 4-digit published level) Both samples Aggregate industry level (division and, where stratified, industry) Annual average data All employees All-employee estimate for previous month multiplied by ratio of all employees in current month to all employees in previous month, for sample establishments that reported for both months.1 All-employee estimate for pre- Sum of all-employee esti- Sum of monthly estivious month multiplied by mates for component cells. mates divided by 12. weighted ratio of all employees in current month to all employees in previous month, for sample establishments, which reported for both months.2 Production or nonsupervisory workers, women employees All-employee estimate for current month multiplied by (1) ratio of production or nonsupervisory workers to all employees in sample establishments for current month, (2) estimated ratio of women to all employees.3 All-employee estimate for current month multiplied by (1) the ratio of the sum of the weighted production or nonsupervisory workers and the sum of the weighted all employees for the current month and the sum of the weighted production or nonsupervisory workers and the sum of the weighted all employees for the previous month that is applied to the previous month's production or nonsupervisory worker ratio, (2) the ratio of the sum of the weighted women workers and the sum of the weighted all employees for the current month and the sum of the weighted women workers and the sum of the weighted all employees for the previous month that is applied to the previous month's women worker ratio. Sum of production or Sum of monthly estinonsupervisory worker es- mates divided by 12. timates, or estimates of women employees, for component cells. Average weekly hours Production or nonsupervisory worker hours divided by number of production or nonsupervisory workers.3 Production or nonsupervisory worker hours divided by number of production or nonsupervisory workers.4 Average, weighted by production or nonsupervisory worker employment, of the average weekly hours for component cells. Annual total of aggregate hours (production or nonsupervisory worker employment multiplied by average weekly hours) divided by annual sum of employment. Average weekly overtime hours Production worker overtime Production worker overtime Average, weighted by prohours divided by number of pro- hours divided by number of pro- duction worker employduction workers.4 duction workers.3 ment, of the average weekly overtime hours for component cells. Annual total of aggregate overtime hours (production or nonsupervisory worker employment multiplied by average weekly overtime hours) divided by annual sum of employment. Average hourly earnings Total production or nonsupervisory worker payroll divided by total production or nonsupervisory worker hours.3 Total production or nonsupervisory worker payroll divided by total production or nonsupervisory worker hours.4 See footnotes at end of table. 184 Average, weighted by aggregate hours, of the average hourly earnings for component cells. Annual total of aggregate payrolls (production or nonsupervisory worker employment multiplied by weekly hours and hourly earnings) divided by annual aggregate hours. Table 2-A. Summary of methods for computing industry statistics on employment, hours, and earnings for the non-probability-based and the probability-based sample estimates—Continued Non-probability sample Employment, hours, and earnings Average weekly earnings Probability sample Basic estimating cell (industry, Basic estimating cell (industry, region, size, or region/size cell) 4-digit published level) Both samples Aggregate industry level (division and, where stratified, industry) Annual average data Product of average weekly Product of average weekly Product of average weekly Product of average hours and average hourly earn- hours and average hourly earn- hours and average hourly weekly hours and averings. earnings. age hourly earnings. ings. 1 The estimates are computed by multiplying the above product by bias adjustment factors that compensate for the underrepresentation of newly formed enterprises and other sources of bias in the sample. 2 The estimates are computed by applying a unique monthly birth/ death model component that estimates the residual net birth/death employment not accounted for by the sample. 3 The sample production-worker ratio, women-worker ratio, average weekly hours, average overtime hours, and average hourly earnings are modified by a wedging technique designed to compensate for changes in the sample arising mainly from the voluntary characteristics of the reporting. The wedging procedure accepts the advantage of continuity from the use of the match sample and, at the same time, tapers or wedges the estimate toward the level of the latest sample average. 4 A weighted link relative estimator is used to move average weekly hours, average overtime hours, and average hourly earnings forward from the point at which the probability-based sample estimates are introduced. For average weekly hours, this ratio is weighted hours divided by weighted production/nonsupervisory workers. For average hourly earnings, this ratio is weighted payroll divided by weighted hours. This will effectively preserve the true month-to-month sample movement if the new probability sample has different levels than the current sample. ror in the survey—the inability to capture, on a timely basis, employment generated by new firm births. There is a lag of several months between an establishment's opening for business and its appearing on the UI universe frame and being available for sampling. Nonsampling methods must be used to capture the portion of employment growth accounted for by new firms; otherwise, substantial underestimation of total employment levels would occur. Formal bias adjustment procedures have been used in the establishment survey since the late 1960s. Prior to the 1983 benchmark, bias adjustments were derived from a simple mean error model, which averaged undercount errors for the previous 3 years to arrive at bias projections for the coming year. The undercount errors were measured as the difference between sample-based estimate results and benchmark levels. This procedure eventually proved inadequate during periods of rapidly changing employment trends, and the bias adjustment methodology was revised. Research done in the early 1980s indicated that bias requirements were strongly correlated with current employment growth or decline. Based on this research, a revised method was developed that uses the sample data on employment growth over the most recent two quarters, and a regression-derived coefficient for the significance of that change, to adjust the mean error model results. This change in methodology provided a more cyclically sensitive bias model. The regression-adjusted mean error model has been used for the production of national estimates since 1983. The current model still has limitations on its ability to react tc changing economic conditions or changing error structure relationships between the sample-based estimates and the UI universe counts. A principal limitation is the inability to incorporate UI universe counts as they become available on an ongoing basis, with a 6- to 9-month lag from the reference period. For this reason, the current quarterly outputs from the model are subject to intervention analysis and ad- justments can be made to model results prior to the establishment of final bias levels for a quarter. Review for purposes of intervention analysis is done primarily in terms of detection of outlier (abnormally high or low) values, and by comparison of CES sample and bias trends with the most recent quarterly observations of UI universe counts. Although the primary function of bias adjustment is to account for employment resulting from new business formations, it also adjusts for other elements of nonsampling error in the survey, because the primary input to the modeling procedure is total estimation error. Significant among these nonsampling error sources is a business death bias. When a sampled firm closes down, most often it simply does not respond to the survey that month, rather than reporting zero employment. Follow-up with nonrespondents may reveal an out-of-business firm, but this information often is received too late to incorporate into monthly estimates, and the firm is simply treated as a nonrespondent for that month. Because the bias adjustments incorporated into the estimates represent a composite of a birth bias, a death bias, and a number of other differences between the sample-based estimates and the population counts, the monthly bias adjustment levels have no specific economic meaning in and of themselves. Table 2-B summarizes bias adjustments for the past decade. The table displays the average monthly "bias added" and the average monthly "bias required" with the benchmark revisions for each year. Bias added shows the average amount of bias that was added each month over the course of an interbenchmark period. For example, the bias added for 1999 is listed as 150,000; this represents the average of bias adjustments made each month over the period April 1998 through March 1999. Bias required is computed retrospectively, after the March benchmark for a given year is known. Bias required figures are calculated by taking the difference between a March estimate derived purely from the sample 185 (that is, a series calculated without bias adjustment) and the March benchmark. Dividing this figure by 12 gives the average monthly bias required figure. The bias required is thus defined as the amount of bias adjustment that would have achieved a zero benchmark error. The difference between the total bias required and the total bias added is then, by definition, approximately the benchmark revision amount, for any given year. Also provided in table 2-B are the March-to-March changes. As discussed above, the over-the-year changes indicate correlation with the bias added and bias required figures. known as "sampling proportionate to average size of establishment." This design results in an optimum allocation of the sample among strata because sampling variance is proportional to the average size of establishments. The universe of establishment employment is highly skewed, with a large percentage of total employment concentrated in relatively few establishments. Because variance on a population total estimate is a function of percentage universe coverage achieved by the sample, it is efficient to sample larger establishments at a higher rate than smaller establishments, assuming the cost per sample unit is fairly constant across size classes. Under the establishment survey design, large establishments fall into certainty strata for sample selection. The size of the sample for the various industries is determined empirically based on experience and cost considerations. For iexaraple,, in a manufacturing industry with a high proportion of total; employment concentrated in a small number of establishments, a larger percent of total employment is included in the sample. Consequently, the sample design for such industries provides for a complete census of the large establishments, with a relatively few chosen from among the smaller establishments. For an industry in which a large proportion of total employment is accounted for by small establishments, the sample design again calls for inclusion of all large establishments but also for a more substantial number of smaller ones. Many industries in the trade and services divisions fall into this category. To keep the sample to a size that can be handled with available resources, these industries are sampled with a smaller proportion of total universe coverage than is the case for most manufacturing industries. THE SAMPLE Design The emphasis in the establishment survey is on producing timely data at minimum cost. Therefore, the primary goal of its design is to sample a large enough segment of the universe to provide reliable estimates that can be published both promptly and regularly. The present sample allows BLS to produce preliminary total nonfarm employment estimates for each months including some limited industry detail, within 3 weeks after the reference period, and data in considerably more detail with an additional 1-month lag. The CES survey, which was begun over 50 years ago, predates the introduction of probability sampling methods and has operated as a quota sample since its inception. Quota sampling is different from probability sampling in that it requires a fixed number of units, but they need not have been drawn in a random selection process. The sampling plan used in the establishment survey is a form of sampling with probability proportionate to size, Table 2-B. March employment benchmarks and bias adjustments for total private industries , March 1989-99 (In thousands) Benchmark Year Average monthly bias Employment1 Revision2 1989 89,015 -93 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 90,546 88,790 88,347 89,790 92,730 96,175 98,158 101,040 103,965 106,627 -261 -583 -130 288 688 511 72 518 85 242 1 Universe counts for March of each year are used to make annual benchmark adjustments to the employment estimates. About 97 percent of the benchmark employment is from unemployment insurance administrative records, and the remaining 3 percent is from alternate sources. Data represent benchmark levels as originally computed. 2 Difference between the final March sample-based estimate and the benchmark level for total private employment. 3 The average amount of bias adjustment each month over the Required4 Over-the-year employment change5 131 123 2,835 85 61 33 83 115 144 129 130 150 150 63 12 22 107 171 187 135 173 157 170 1,531 -1,756 -443 1,443 2,940 3,445 1,983 2,882 2,925 2,662 Added3 course of an inter-benchmark period, that is, from April of the prior year through March of the given year. 4 The difference between the March benchmark and the March estimate derived solely from the sample without bias adjustment, converted to a monthly amount by dividing by 12. 5 March-to-March changes in the benchmark employment level. NOTE: Data in this table exclude government employment because there is no bias adjustment for this sector. 186 Coverage Table 2-C shows the latest benchmark employment levels and the approximate proportion of total universe employment coverage at the total nonfarm and major industry division levels. The coverage for individual industries within the divisions may vary from the proportions shown. sampling error can be estimated, the CES yields an annual approximation of total error, on a lagged basis, because of the availability of the independently derived universe data. While the benchmark error is used as a measure of total error for the CES survey estimate, it actually represents the difference between two independent estimates derived from separate survey processes (specifically, the CES sample process and the UI universe process), and thus reflects the errors present in each program. Historically, the benchmark revision has been very small for total nonfarm employment. Over the past decade, percentage benchmark error has averaged 0.3 percent, with absolute revisions ranging from less than 0.05 percent to 0.7 percent. Table 2-D shows the most current benchmark revisions, along with 10-year mean revisions and mean absolute revisions for major industries. Mean revisions give an indication of bias in the estimates; unbiased estimates have a mean revision close to zero, as over- and under-estimations cancel out over time. Mean absolute revisions give an overall indication of the accuracy of the estimates; the larger the value, the further the estimate was from the final benchmark level. Reliability The establishment survey, like other sample surveys, is subject to two types of error—sampling and nonsampling. The magnitude of sampling error, or variance, is directly related to the size of the sample and the percentage of universe coverage achieved by the sample. The establishment survey sample covers more than one-third of total universe employment; this yields a very small variance on the total nonfarm estimates. Measurements of error associated with sample estimates are provided in tables 2-D through 2-G. Benchmark revision as a measure of survey error. The sum of sampling and nonsampling error can be considered total survey error. Unlike most sample surveys, for which only Estimated standard errorsfor employment, hours, and earnings. The hours and earnings estimates for the basic estimating cells cannot be compared with universe data sources, and therefore are not subject to benchmark revisions, although the broader groupings may be affected slightly by changes in employment weights. Like the employment estimates, the hours and earnings estimates also are subject to sampling and nonsampling errors. Estimates of the sampling error for employment, hours, and earnings are computed using the method of random groups, and are expressed as relative standard errors (standard error divided by the estimate). Relative standard errors for individual industries having specified numbers of employees are presented in table 2-E; those for major industries appear in table 2-F. Multiplying the relative standard error by its estimated value gives the estimate of the standard error. The errors presented here are based on averages observed from sample data over the March 1994 through March 1995 period. Table 2-C. Employment benchmarks and approximate coverage of BLS employment and payrolls sample, March 1999 Sample coverage1 Industry Total Mining Construction Manufacturing Transportation and public utilities.... Wholesale trade . Retail trade Finance, insurance, and real estate.. Services Government: Federal State Local Benchmarks (thousands) Employees Number of establish- Number (thouments2 sands) Percent of benchmarks 127,125 292,718 41,592 33 539 5,918 18,533 2,594 24,697 48,151 182 1,025 7,561 34 17 41 14,453 22,821 54,469 2,009 1,052 4,701 30 15 21 19,901 69,733 1,835 7,881 25 21 2,697 3,907 8,742 100 81 67 6,720 6,846 22,262 7,486 38,323 2,697 4,804 12,997 3 4 7,594 8,176 20,129 Standard errors for differences between industries and times. The standard error of a difference is required to test for significant differences between estimates from two different industries. Because the estimates for the two industries are independent, the standard error of a difference is the square root of the sum of the estimated variance of each estimate, S,2 and S22: Counts reflect reports used in final estimates. Because not all establishments report payroll and hours information, hours and earnings estimates are based on a smaller sample than employment estimates. 2 In the CES redesign probability-based sample for wholesale trade, this figure is a count of the number of Ul accounts sampled. 3 The Interstate Commerce Commission provides a complete count of employment for Class I railroads plus Amtrak. Hours and earnings estimates are derived from a sample. 4 Total Federal employment counts by agency for use in national estimates are provided to BLS by the U.S. Office of Personnel Management. Detailed industry estimates for the Executive Branch, as well as State and area estimates of Federal employment, are based on a sample of reports covering about 60 percent of employment in Federal establishments. S difference = The CES sample overlaps almost entirely from month to month, so monthly estimates are not independent. The covariance between these estimates must be accounted for when testing the significance of the change in estimates over time. 187 sample for CES ensures a proper representation of the universe of nonfarm business establishments through randomized selection techniques and the regular rotation of sample members. In addition, the CES sample redesign addresses a second critical limitation of the current CES sample, which is lack of timely sample-based representation of employment from new business births. Procedures have been developed for regular sample updates that will ensure better representation of new units in the CES sample. Time series modeling techniques are being used to estimate the residual portion of birth employment not accounted for through the improved sampling techniques. Introduction of a probability-based sample for the CES survey allows for the publication of sampling errors and confidence intervals, standard survey accuracy measures not directly applicable to the current nonprobability design. Overall accuracy of the survey employment estimates, however, is still best measured by the magnitude of annual benchmark revisions, as they encompass the total estimation error associated with the CES employment series. The standard error of the change can be estimated as follows: S change f + s* - 2ps{s2 If Si = S2, then: S change = Conservative estimates of p after 1 month are 0.8 for employment, 0.6 for average weekly hours, and 0.8 for average hourly earnings. If the bias is small, the standard error can be used to construct an approximate confidence interval, or range of values, that includes the true population value. If the process of selecting a sample from the population were repeated many times, and an estimate and its standard error were calculated for each sample, then approximately 68 percent of the intervals-from 1 standard error below the estimate to 1 standard error above the estimate-would include the true population value. The new CES sample design. The new design is a stratified, simple random sample of worksites, clustered by UI account number. The UI account number is a major identifier on the BLS longitudinal database of employer records, which serves as both the sampling frame and the benchmark source for the CES employment estimates. The sample strata, or subpopulations, are defined by State, industry, and employment size, yielding a State-based design. The sampling sates for each stratum are determined through a method known as optimum allocation, which distributes a fixed number of sample units across a set of strata to minimize the overall variance, or sampling error, on the primary estimate of interest. The total nonfarm employment level is the primary estimate of interest, and the new design gives top priority to measuring it as precisely as possible, or, in other words, minimizing the statistical error around the statewide total nonfarm employment estimates. For the CES redesign, the number of sample units drawn was fixed to the approximate size of the original CES sample, which is the sample size supported by current program resources. This sample size makes possible the publication of considerable industry and geographic detail within a State, and provides for highly reliable national CES estimates at the total nonfarm and detailed industry levels. Revisions between preliminary and final data. First preliminary estimates of employment, hours, and earnings, based on less than the total sample, are published immediately following the reference month. Final revised sample-based estimates are published 2 months later, when nearly all the reports in the sample have been received. Table 2-G presents the root-mean-square error, the mean percent, and the mean absolute percent revision that may be expected between the preliminary and final employment estimates. Revisions of preliminary hours and earnings estimates are normally not greater than 0.1 of an hour for weekly hours and 1 cent for hourly earnings at the total private nonfarm level, and may be slightly larger for the more detailed industry groupings. CES sample redesign In June 1995, BLS announced plans for a comprehensive sample redesign of its monthly payroll survey. The initial research phase for the CES sample redesign was completed in 1997, and BLS launched a production test of the new sample design at that time. The production test phase concluded in June 2000, when the first estimates from the new design, for the wholesale trade industry, were published with the 1999 benchmark revisions. Redesigned samples for the remaining industry divisions will be phased in with subsequent years' benchmark releases, between 2001 and 2003. Frame and sample selection. The Longitudinal Data Base (LDB) is the universe from which BLS draws the CES sample. The LDB contains data on approximately 7.5 million U.S. business establishments, representing nearly all nonfarm elements of the U.S. economy. The ES-202 program collects these data from employers, on a quarterly basis, in cooperation with State Employment Security Agencies (SESAs). The LDB contains employment and wage information from employers, as well as name, address, and location information. It also contains identification information such as Unemploy- Original sample design limitations. The original CES survey is based on a quota sample, the inception of which, over 50 years ago, predated the introduction of probability sampling as the internationally recognized standard for sample surveys. Quota samples are known to be at risk for potentially significant biases. Introducing a probability-based 188 Table 2-D. Current (March 1999) and historical benchmark revisions (Numbers in thousands) Industry Total Total private Goods-producing Mining Metal mining Coal mining Oil and gas extraction Nonmetallic minerals, except fuels March) 1999 benchmark revision Ten-year average mean percent revision Actual Level Percent 258 0.2 0.1 0.3 242 .2 .1 .4 217 .9 .4 .7 -1 -3 1 0 3 -.2 .2 -6.5 -1.5 1.1 0 2.8 -.5 .8 .3 1.4 2.7 2.7 2.1 1.5 Absolute Construction General building contractors ' Heavy construction, except building Special trade contractors 112 15 4 94 1.9 1.1 .5 2.5 .2 -.1 .9 .2 1.2 2.1 2.1 1.2 Manufacturing 106 .6 .5 .6 114 1.0 .6 .8 2 8 -4 10 5 26 10 9 10 -1 27 18 4 18 7 .2 1.5 -.7 1.4 2.2 1.7 .5 2.4 .6 -.2 1.4 1.8 .8 2.1 1.8 .5 .8 .3 .3 .7 .6 .6 .5 .2 .2 1.0 1.4 .5 .7 .7 1.5 1.2 .8 .7 1.1 .8 .9 1.6 .8 1.4 1.0 1.4 1.0 1.3 1.5 -8 -.1 .3 .6 -8 0 -2 8 8 -1 -1 -.5 0 -.4 1.1 1.2 -.1 -.1 .9 2.6 .9 1.3 -3 -2.3 -1.2 5.1 .2 .7 .1 .6 .4 (1) .2 .3 .7 .8 1.1 2.3 (1) (1) .3 Durable goods Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Blast furnaces and basic steel products Fabricated metal products Industrial machinery and equipment Computer and office equipment Electronic and other electrical equipment Electronic components and accessories Transportation equipment Motor vehicles and equipment Aircraft and parts Instruments and related products Miscellaneous manufacturing Nondurable goods Food and kindred products Tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and miscellaneous plastics products Leather and leather products Service-producing Transportation and public utilities Transportation Railroad transportation Local and inter urban passenger transit Trucking and warehousing Water transportation Transportation by air Pipelines, except natural gas Transportation services Communications and public utilities Communications Electric, gas, and sanitary services Wholesale trade Durable goods Nondurable goods -12 4 41 35 -9 0 2 -3 5 -8 0 -4 44 24 19 .5 -.2 0 .4 -.2 2.8 -.7 0 -.9 1.8 1.6 2.2 -63 -13 -50 -.9 -.3 See footnotes at end of table. 189 -1.8 1 .8 .5 .8 1.6 1.1 2.2 -.6 -.5 .4 .4 .2 .8 1.2 .9 2.0 2.6 3.4 4.7 4.3 2.4 1.3 1.8 .8 -.5 -.4 -.6 1.1 1.3 1.1 () -.2 -.9 -.3 -1.3 Table 2-D. Current (March 1999) and historical benchmark revisions—Continued (Numbers in thousands) Industry March 1999 benchmark revision Ten-year average mean percent revision Level Percent Actual Absolute Retail trade Building materials and garden supplies General merchandise stores Department stores Food stores Automotive dealers and service stations New and used car dealers Apparel and accessory stores Furniture and home furnishings stores Eating and drinking places Miscellaneous retail establishments 88 0 1 -32 6 -29 -2 -7 -3 117 3 0.4 0 (1) -1.4 .2 -1.2 -.2 -.6 -.3 1.5 .1 0.3 -.6 1.5 1.9 -.2 -1.1 -.9 .8 -1.0 .9 (1) 0.6 1.3 2.6 3.1 .7 1.1 1.0 1.5 1.2 1.3 .9 Finance, insurance, and real estate Finance Depository institutions Commercial banks Savings institutions Nondepository institutions Mortgage bankers and brokers Security and commodity brokers Holding and other investment offices Insurance Insurance carriers Insurance agents, brokers, and service Real estate -61 -15 13 11 -5 -1 -5 6 -32 -28 -21 -7 -18 -.8 -.4 .6 .7 -2.0 -.1 -1.4 .9 -13.9 -1.2 -1.3 -.9 -1.2 -.2 -.6 -.9 -.5 -3.5 1.9 2.4 .4 -5.1 .4 .4 .3 -.3 1.2 1.3 1.3 1.0 6.0 2.9 5.5 1.1 5.6 1.4 1.6 1.0 1.3 26 8 44 21 109 -3 154 173 50 4 -19 8 -20 20 9 31 13 -17 -4 4 9 53 -10 3 35 -147 10 -108 -5 .1 1.2 2.5 1.6 1.2 -.3 4.5 5.7 2.8 .3 -5.1 1.4 -1.3 .2 .5 1.7 .3 -2.7 -.4 .2 .3 7.6 -1.3 3.3 1.4 -4.6 1.1 -10.7 -10.0 .1 1.4 1.0 1.0 .6 .4 1.4 2.1 1.1 -1.1 -2.2 -1.5 -.1 -.5 -.5 -.2 -.7 .8 -.8 .4 -.2 -.8 -.4 1.7 2.2 -.8 -.3 -1.3 0 .5 1.7 1.4 1.4 1.7 1.3 3.1 2.9 2.6 1.5 4.8 3.6 3.0 .7 1.3 .9 .8 2.6 1.0 2.3 1.4 5.4 1.4 2.3 2.8 1.8 1.1 3.8 3.7 16 0 0 4 19 -15 12 10 3 .1 0 0 .1 .9 -.6 .1 .1 .1 (1) 0 0 (1) .1 (1) (1) .2 0 0 .5 1.2 .5 .2 .3 .4 Services2 Agricultural services Hotels and other lodging places Personal services Business services Services to buildings Personnel supply services Help supply services Computer and data processing services Auto repair, services, and parking Miscellaneous repair services Motion pictures Amusement and recreation services Health services Offices and clinics of medical doctors Nursing and personal care facilities Hospitals Home health care services Legal services Educational services Social services Child day care services Residential care Museums and botanical and zoological gardens. Membership organizations Engineering and management services Engineering and architectural services Management and public relations Services, nee Government Federal Federal, except Postal Service State Education Other State government Local Education Other local government 1 2 Less than 0.05 percent. Includes other industries, not shown separately. 190 O (1) NOTE: Nee is an abbreviation for "not elsewhere classified" and designates broad categories of industries that cannot be more specifically identified. Table 2-E. Relative standard errors1 for estimates of employment, hours, and earnings (In percent) The probability sample is stratified by State, industry, and size. Stratification groups population members together for the purpose of sample allocation and selection. The strata, or groups, are composed of homogeneous units. With 11 industries and 8 size classes, there are 88 total allocation cells per State. The sampling rate for each stratum is determined through a method known as optimum allocation. Optimum allocation minimizes variance at a fixed cost or minimizes cost for a fixed variance. Under the CES probability design, a fixed number of sample units for each State is distributed across the allocation strata in such a way as to minimize the overall variance, or sampling error, of the total State employment level. The number of sample units in the CES probability sample is fixed to the approximate size of the existing nonprobability CES survey. The optimum allocation formula will place more sample in cells for which data cost less to collect, cells that have more units, and cells that have a larger variance. When compared with the quota sample, there are fewer units selected in manufacturing and more units selected in services. During the first quarter of each year, a new sample is drawn from the LDB. Annual sample selection helps keep the CES survey current with respect to employment from business births and business deaths. In addition, the updated universe files provide the most recent information on industry, size, and metropolitan area designation. After all out-of-scope records are removed, the sampling frame is sorted into allocation cells. Within each allocation cell, units are sorted by MSA and by the size of the MSA, which is the number of UI accounts in that MSA. As the sampling rate is uniform across the entire allocation cell, implicit stratification by MSA ensures that a proportional number of units are sampled from each MSA. Some MSAs may have too few UI accounts in the allocation cell; these MSAs are collapsed and treated as a single MSA. Within each selection cell, the units art sorted by PRN, and units are selected according to the specified sample selection rate. The number of units selected randomly from each selection cell is equal to the product of the sample selection rate and the number of eligible units in the cell, plus any carryover from the prior selection cell. The result is rounded to the nearest whole number. Carryover is defined as the amount that is rounded up or down to the nearest whole number. Once the sample is drawn, sample selection weights are calculated based on the number of UI accounts actually selected within each allocation cell. The sample selection weight is approximately equal to the inverse of the probability of selection, or the inverse of the sampling rate. It is computed as: Sample selection weight Nh / where: Nh = the number of noncertainty UI accounts within the allocation cell that are eligible for sample selection nh = the number of noncertanity UI accounts selected within the allocation cell Relative standard error Number of employees 50,000 100,000 200,000 500,000 1,000,000 2,000,000 Employment Average weekly hours Average hourly earnings 1.4 1.1 .8 .6 .4 .3 1.9 1.5 1.2 .9 .7 .6 3.2 2.6 2.2 1.7 1.3 1.1 Relative errors were estimated using sample data from March 1994-March 1995. Table 2-F. Relative standard errors1 for estimates of employment, hours, and earnings by industry (In percent) Relative standard error Industry Total private Mining Construction Manufacturing Durable goods Nondurable goods Transportation and public utilities Wholesale trade Retail trade Finance, insurance, and real estate Services Employment Average weekly hours Average hourly earnings 0.1 .8 .4 .1 .1 .1 0.1 .6 .1 .1 .1 .1 0.2 1.1 .3 .4 .5 .5 .3 .2 .1 .5 .2 .1 1.0 .4 .3 .2 .2 2 2 .7 .4 • • Relative errors were estimated using sample data from March 1994-March 1995. ment Insurance (UI) Account Number, Reporting Unit Number, and LDB Number. The LDB consists of all employers covered under the Unemployment Insurance Tax System. That system covers 97 percent of all employers in the 50 States, the District of Columbia, Puerto Rico, and the Virgin Islands. There are a few sections of the economy that are not covered, including the self-employed, small family businesses, railroads, charitable organizations, small agricultural employers, and elected officials. Data for employers generally are reported at the worksite level. Employers who have multiple establishments within a State usually report data for each individual establishment. The LDB tracks establishments over time and links them from quarter to quarter. Permanent Random Numbers (PRNs) have been assigned to all UI accounts on the sampling frame. As new units appear on the frame, random numbers are assigned to those units as well. As records are linked across time, the PRN is carried forward in the linkage. 191 Table 2-G. Errors of preliminary employment estimates Industry Total Total private Goods-producing Root-mean-square error of monthly level1 12,800 Construction General building contractors Heavy construction, except building Special trade contractors \ 7,500 3,900 2,900 5,000 Manufacturing 9,600 Nondurable goods Food and kindred products Tobacco products Textile mill products Apparel and other textile products Paper and allied products Printing and publishing Chemicals and allied products Petroleum and coal products Rubber and miscellaneous plastics products Leather and leather products Service-producing Absolute 40,800 1,700 400 700 Lumber and wood products Furniture and fixtures Stone, clay, and glass products Primary metal industries Blast furnaces and basic steel products Fabricated metal products Industrial machinery and equipment Computer and office equipment Electronic and other electrical equipment Electronic components and accessories Transportation equipment Motor vehicles and equipment Aircraft and parts Instruments and related products Miscellaneous manufacturing Actual 47,200 Mining Metal mining Coal mining Oil and gas extraction Nonmetallic minerals, except fuels Durable goods Mean percent revision 1,500 400 0 0 .1 -.1 .1 .2 .5 .6 .3 .3 0 .1 0 .1 .2 .3 0 .1 0 6,600 1,500 1,100 1,200 1,600 1,200 2,100 2,900 2,100 2,300 1,600 4,700 3,900 1,600 1,400 800 0 .1 .2 .2 .2 .3 .1 .1 .5 .1 .2 .2 .3 .2 .1 .2 4,800 .1 2,900 600 1,200 2,600 1,100 1,700 1,700 900 1,400 500 0 .9 0 .2 0 0 -.1 -.1 0 -.1 .1 1.1 .2 .3 .1 .1 .1 .4 .1 .4 43,700 Transportation and public utilities Transportation Railroad transportation Local and interurban passenger transit Trucking and warehousing Water transportation Transportation by air Pipelines, except natural gas Transportation services Communications and public utilities Communications Electric, gas, and sanitary services 9,300 8,900 1,800 3,500 5,600 1,400 6,600 200 1,100 4,100 3,600 1,400 0 -.1 .1 0 .1 .2 .6 .5 .2 .7 .4 .8 .2 .1 .2 .1 Wholesale trade Durable goods Nondurable goods 7,500 4,400 4,700 .1 .1 .1 .1 .1 .1 See footnotes at end of table. 192 -.2 -.2 -.1 -.2 -.1 -.5 -.1 .1 Table 2-G. Errors of preliminary employment estimates—Continued Industry Root-mean-square error of monthly level1 Mean percent revision Actual Absolute .1 .2 .5 .5 .1 .1 .1 .4 .2 .1 .2 .1 .1 .1 .1 .2 .2 .3 .1 .6 .1 .1 .1 .1 ,1 .3 .2 .3 .1 .2 .3 .3 .2 .1 .2 .9 .4 0 .1 .1 .1 .2 .1 .5 .2 .5 .2 .5 .1 .1 .2 .3 .8 .1 .2 .3 .2 .4 .1 .1 .1 .1 Retail trade Building materials and garden supplies.... General merchandise stores Department stores Food stores Automotive dealers and service stations.. New and used car dealers Apparel and accessory stores Furniture and home furnishings stores Eating and drinking places Miscellaneous retail establishments 25,200 2,900 17,500 17,200 6,400 3,000 1,100 6,400 2,400 8,800 8,000 0 0 0 0 0 -.1 -.1 .2 .1 0 .2 Finance, insurance, and real estate Finance Depository institutions Commercial banks Savings institutions Nondepository institutions Mortgage bankers and brokers Security and commodity brokers Holding and other investment offices Insurance Insurance carriers Insurance agents, brokers, and service. Real estate 5,700 3,900 3,100 2,900 900 1,600 1,200 1,000 1,700 2,500 2,100 1,300 2,600 0 0 -.1 -.1 Services2 Agricultural services Hotels and other lodging places Personal services Business services Services to buildings Personnel supply services Help supply services Computer and data processing services Auto repair, services, and parking Miscellaneous repair services Motion pictures Amusement and recreation services Health services Offices and clinics of medical doctors Nursing and personal care facilities Hospitals Home health care services Legal services Educational services Social services Child day care services Residential care Museums and botanical and zoological gardens. Membership organizations Engineering and management services Engineering and architectural services Management and public relations Services, nee 28,700 3,000 5,600 4,900 12,700 2,400 11,100 10,900 2,800 1,900 1,100 6,800 9,200 5,500 2,500 1,600 3,500 2,000 1,300 12,100 9,200 4,000 1,400 600 3,400 5,200 2,000 3,400 500 0 .2 .1 -.1 .1 0 .1 .1 .1 0 0 .2 .2 0 0 0 0 .1 0 0 0 .2 0 0 0 0 -.1 .1 .1 Government Federal Federal, except Postal Service. State Education Other State government Local Education Other local government 16,000 8,700 7,700 10,200 8,600 4,900 12,600 11,700 7,000 0 0 .1 0 .1 0 0 0 0 1 The root-mean-square error is the square root of the mean squared error. The mean squared error is the square of the difference between the final and preliminary estimates averaged across a series of monthly observations. 2 Includes other industries, not shown separately. 193 -.1 0 0 0 0 0 0 .1 0 NOTE: Nee is an abbreviation for "not elsewhere classified" and designates broad categories of industries that cannot be more specifically identified. Errors are based on differences from January 1995 through December 1999. To further reduce enrollment workload caused by the annual update of the sample, BLS has established a "swapping" procedure in which sample members selected in the previous year are used in lieu of new sample members. As a result of the swap procedure, the amount of sample overlap from year to year is increased. A sample is selected from the first-quarter frame using the random sampling procedures. If a new sample member is selected during random sampling, a check is made for a previously selected unit that was not selected in the new sample. The previously selected unit must be within the same State, industry, and size class and must have the same PRN date as the originally selected unit. Newly selected units are replaced until all suitable replacements are exhausted. The units are generally available for swapping due to changes in the MSA, SIC, and size of units. As a result of the swap procedure, approximately 90 percent of the Current Employment Statistics Sample Redesign (CES-R) sample overlaps from one year to the next. Before the swap procedure was implemented, approximately 35,000 new UI accounts were selected each year during the annual update. With the swap procedure, this number is reduced by as much as 40 percent, or 15,000 units. Due to the dynamic economy, there is a constant cycle of business births and deaths. A semi-annual update is performed during the third quarter of each year. This update selects units from the population of births and other units not previously eligible for selection, and includes them as part of the sample. Updated location, contact, and administrative information is provided for all establishments that were selected in the annual sample selection. ments are made to reflect each of the worksites' probability of selection. Estimation. Under the new methodology, CES will use a matched sample concept and weighted link relative estimator to produce employment, hours, and earnings estimates. Consistent with the historical CES definition, a matched sample is defined to be all sample members that have reported data for the reference month and the month prior. A slight adjustment to the above matched definition is made to exclude from the matched sample any sample unit that reports that it is out-of-business. The reasoning behind this handling is described later in the section on estimation of business births and deaths. The estimator for employment and that for hours and earnings uses the sample trend in the cell to move the previous level or ratio to the current-month estimated level or ratio. In the case of all employees, an additive model-based component is applied as well. This component also is described in the business birth and death estimation section. The basic formula for estimating employment is: + (net birth/death model), AEC = where: {w i Sample enrollment activities. The primary enrollment of new establishments for the CES-R is taking place in BLS Data Collection Centers (DCCs) located in Atlanta, Kansas City, and Dallas, and in the Electronic Data Interchange (EDI) Center in Chicago. Once the sample has been sent to the DCCs, interviewers enroll the selected establishments. While the UI account represents the sample unit, interviewers are responsible for tracking and collecting the data for the individual establishments, regardless of the current UI configuration associated with the establishments. In the case of large, multiple-worksite UI accounts, it is sometimes necessary to subsample employers. This occurs when: - matched sample unit; « weight associated with the CES report; Cl - current-month reported all employees; ae • P%1 - previous-month reported all employees; A AEC - current-month estimated all employees; and AE - previous-month estimated all employees. The basic form for the estimator used to develop the current-month production workers series is: PW = AExPWRATIO, - the company cannot report for all worksites from a central location; - the company cannot provide an aggregate report for the entire UI account; - there are too many individual worksites to make it practical to contact each of them. PWRATIOC = With subsampling of a smaller number of worksites, both interviewer workload and respondent burden are reduced without significantly reducing the accuracy of the estimates, but this technique will result in a small increase in variance. In the event that a UI account is subsampled, weight adjust- 194 PWRATIOxj. , and Estimation of overtime hours is identical to that described for weekly hours, with the appropriate substitution of overtime hours values for the weekly hours values in the previous formula. where: - matched sample unit; = weight associated with the CES report; vv. ' = current-month estimated production workers; " c PWRATIOc = current-month production-worker-to-all-employee ratio; PWRATIOp = previous-month production-worker-to-all-employee ratio; Pwcj - current-month reported production workers; PWpj = previous-month reported production workers; ae c,i - current-month reported all employees; ae pj - previous-month reported all employees; and AE Benchmarking. Annual benchmark adjustment that revises 2 years of data continues under the redesign, but with slight modification to the process. Under the original CES procedures, when national series are benchmarked, sample links derived from the final (or third) set of monthly estimates are applied to the March benchmark level to re-estimate 1 year forward from the new benchmark levels. The year prior to the benchmark is adjusted by a simple wedge-back procedure that distributes the benchmark error in equal increments across the 11 months preceding the March benchmark. For initial implementation of the redesign estimates for each major industry division, all series for both the year prior to and the year following the March benchmark month are revised to incorporate sample-based estimates calculated from the new sample and estimators. Thus, there is more revision in the benchmark period under the redesign than experienced previously for all data types. In particular, basic cell-level hours and earnings estimates, which have no benchmark revision under current procedures, are subject to change. current-month estimated all employees. Estimation of the series for women workers is identical to thai described for production workers, with the appropriate substitution of women workfer vahies for the production worker values in the previous formulas. The same basic form of the estimator holds for all data types. The basic estimators of average weekly hours and average hourly earnings are: Z w x wh AWHC=AWH x vv. x prc Business birth and death estimation. In a dynamic economy, firms are continually going out-of-business while, at the same time, new businesses are opening. These two normal occurrences offset each other to some extent. That is, firms that are born replace firms that die. CES uses this fact to account for a large proportion of the employment associated with business births. This is accomplished by excluding such units from the matched sample definition. Effectively, business deaths are not included in the sample-based link portion of the estimate, and their employment loss is assumed to offset a portion of the employment associated with births. There is an operational advantage associated with this approach as well. Most firms will not report that they have gone out of business; rather, they simply cease reporting and are excluded from the link, as are all other nonrespondents. As a result, extensive follow-up with monthly nonrespondents to determine whether a company is out-of-business or simply did not respond is not required. Employment associated with business births will not exactly equal that associated with business deaths. The amount by which it differs varies by month and by industry. As a result, the residual component of the birth/death offset must be accounted for by using a model-based approach. With any model-based approach, it is desirable to have 5 or more years of history to use in developing the models. Due to the absence of reliable counts of monthly business births and deaths, development of an appropriate birth/death residual series assumed the following form: i and AHEC = AHEpx t x whp where: • = matched sample unit; w i - weight associated with the CES report; AWH c « current-month estimated average weekly hours; AWrt p _ w "ci previous-month estimated average weekly hours; " current-month reported weekly hours; w = previous-month reported weekly hours; Pwd = current-month reported production workers; Pwpj - previous-month reported production workers; AHEC — current-month estimated average hourly earnings; AHEp = previous-month estimated average hourly earnings; WHc = current-month estimated weekly man hours; WHp = previous-month estimated average man hours; ^p.i = current-month reported weekly payroll; and Birth/death residual - previous-month reported weekly payroll. 195 Population - Sample-based estimate + Error Simulated monthly probability estimates over a 7-year period were created and compared with population employment levels. Moving from a simulated benchmark, the differences between the series across time represent a cumulative birth/death component. Those residuals are converted to month-to-month differences and used as input series to the modeling process. Models are fit using X-12 ARIMA (Auto-Regressive Integrated Moving Average). Outliers, level shifts, and temporary ramps are automatically identified. Seven models are tested, and the model exhibiting the lowest average forecast error is selected for each series. of total nonfarm employment will continue to be the most difficult issue in CES employment estimation. Variance estimation for the CES redesign estimates. A probability-based sample allows for the calculation and publication of sampling variances and confidence intervals—standard survey accuracy measures not directly applicable to the current nonprobability design. The estimation of sample variance for the survey is accomplished through use of the method of Balanced Half Samples (BHS). This replication technique uses half samples of the original sample and calculates estimates using those subsamples. The sample variance is calculated by measuring the variability of the subsample estimates. The weighted link estimator is used to calculate both estimates and variances. The sample units in each cell—where a cell is based on State, industry, and size classification—are divided into two random groups. The basic BHS method is applied to both groups. The subdivision of the cells is done systematically, in the same order as the initial sample selection. Weights for units in the half sample are multiplied by a factor of 1 + a where weights for units not in the half sample are multiplied by a factor of 1 -«. Estimates from these subgroups are calculated using the estimation formula described previously. Difference between the birth/death model and bias adjustment. Table 2-H compares the level of bias adjustment applied in the previously published CES series with the net birth/death adjustment used in the redesign series in wholesale trade. Over the course of the "postbenchmark year" from April 1999 to March 2000, the cumulative bias adjustment added 150,000 to the wholesale trade employment level, while the net birth/death model added 30,000 overall. Note that the latter model has greater variability from month to month, including months with a negative adjustment. This mainly reflects the seasonal pattern of the net birth/death series observed in the historical UI universe data series. The net birth/death models will replace the bias adjustment modeling currently used for the CES program as estimates for each major industry division are phased in for official publication. The ARIMA model component is updated and reviewed on a quarterly basis, as are the current bias adjustments. However, the net birth/death model component figures are unique to each month, unlike the bias adjustments, which are identical for all 3 months of a given quarter. An important conceptual and empirical distinction between current bias adjustment and new net birth/death models involves the elements that the models are designed to identify. Although the primary purpose of the existing bias adjustment process is to account for new business birth employment, it also adjusts for other elements of nonsampling error, or bias, in the current CES estimate because the primary input to the model is total estimation error. Sampling bias can be significant in the existing sample because of its quota design, and the bias component is therefore relatively large. In contrast, the net birth/death models estimate only the residual component not measurable by the sample; the models do not attempt to correct for deficiencies in sample design. Therefore, the net birth/death model component in the redesign series is expected to be significantly smaller than the bias adjustment component in the current CES estimates. The most significant potential drawback to a model-based approach is that time series modeling assumes a predictable continuation of historical patterns and relationships. Therefore, a model-based approach is likely to have some difficulty producing reliable estimates at economic turning points or during periods in which there are sudden changes in trend. In sum, accurate estimation of the business birth component The formula used to calculate CES variances is as follows: where: is the half-sample estimator; k = number of half-samples; and Q = original full sample estimates Appropriate uses of sampling variances in CES. Variance statistics are useful for comparison purposes, but they do have some limitations. Variances reflect the error component of the estimates that is due to surveying only a subset of the population, rather than conducting a complete count of the entire population. However, they do not reflect nonsampling error, such as response errors, and bias due to nonresponse. The overall performance of the program (calculating all-employee estimates) will still be measured in terms of the benchmark revisions. Variances for items not benchmarked—that is, average hourly earnings and average weekly hours—can serve as a more meaningful measure of their error now with a representative probability sample. The variances of the overthe-month change estimates are very useful in determining when changes are significant at some level of confidence. Sampling errors for wholesale trade. The sampling errors shown for the wholesale trade industry have been calculated 196 Table 2-H. Bias adjustment effects for published series versus net birth/death model effects for the wholesale trade industry (In thousands) [lustration of the use of table 2-J. Table 2-J provides a reference for the standard errors of 1 -, 3-, and 12-month changes in AE, AHE, and AWH. The errors are presented as standard errors of the changes. Suppose that the over-the-month change in AHE from January to February for motor vehicles, parts, and supplies is $0.11. The standard error for a 1-month change for this industry from the table is $0.09. The interval estimate of the overthe-month change in AHE that will include the true over-themonth change with 90-percent confidence is calculated: Wholesale trade industry Year and month Bias adjustment for published series Net birth/death adjustment for the post-benchmark period Monthly amount 1999: April May June July August September . October November December 13 13 13 14 14 14 12 12 12 1 9 5 -6 9 4 4 6 9 2000: January February March 11 11 11 -23 6 6 150 30 Cumulative total $0.11 +/-(1.645*$0.09) = $0.11 +/- $0.15 = -$0.04 to $0.26 The true value of the over-the-month change is in the interval -$0.04 to $0.26. Because this interval includes $0.00 (no change), the change of $0.11 shown is not significant at the 90-percent confidence level. Alternatively, the estimated change of $0.11 does not exceed $0.15 (1.645 * $0.09); therefore, one could conclude from these data that the change is not significant at the 90-percent confidence level. STATISTICS FOR STATES AND AREAS (Tables B-7, B-14, and B-18) for estimates that follow the benchmark employment revision by a period of 12 to 24 months. Since the error estimates generally increase as a function of time after the month of benchmark revision, this period was determined to be the period of greatest interest for the estimates. For example, the May 2000 estimates follow the benchmark revision (March 1999) by 14 months. The errors are presented as median values of the observed error estimates. These estimates have been estimated using the method of Balanced Half Samples (BHS) with the probability sample data and sample weights assigned at the time of sample selection. As explained earlier, State agencies in cooperation with BLS collect and prepare State and area employment, hours, and earnings data. These statistics are based on the same establishment reports used by BLS. However, BLS uses the full CES sample to produce monthly national employment estimates, while each State agency uses its portion of the sample to independently develop a State employment estimate. The CES area statistics relate to metropolitan areas. Definitions for all areas are published each year in the issue of Employment and Earnings that contains State and area annual averages (usually the May issue). Changes in definitions are noted as they occur. Additional industry detail may be obtained from the State agencies listed on the inside back cover of each issue. Illustration of the use of table 2-1. Table 2-1 provides a reference for relative standard errors of three major series developed from the CES—estimates of the numbers of all employees (AE), of average hourly earnings (AHE), and of average weekly hours (AWH). The errors are presented as relative standard errors (standard error divided by the estimate and expressed as a percent). Multiplying the relative standard error by its estimated value gives the estimate of the standard error. Suppose that the level of all employees for wholesale trade in a given month is estimated at 6,944,000. The approximate relative standard error of this estimate (0.57 percent) is provided in table 2-1. A 90-percent confidence interval would then be the interval: Caution in aggregating State data. The national estimation procedures used by BLS are designed to produce accurate national data by detailed industry; correspondingly, the State estimation procedures are designed to produce accurate data for each individual State. State estimates are not forced to sum to national totals or vice versa. Because each State series is subject to larger sampling and nonsampling errors than is the national series, summing them cumulates individual State-level errors and can cause distortions at an aggregate level. This has been a particular problem at turning points in the U.S. economy, when the majority of the individual State errors tend to be in the same direction. Due to these statistical limitations, the Bureau does not compile or publish a "sumof-States" employment series. Additionally, BLS cautions users that such a series is subject to a relatively large and volatile error structure, particularly at turning points. 6,944,000 +/- (1.645*.0057*6,944,000) = 6,944,000+/-65,110 = 7,009,110 to 6,878,890 197 Table 2-1. Relative standard error for estimates of employment, hours, and earnings in wholesale trade (In percent) Relative standard error Industry All employees Average weekly hours Average hourly earnings Wholesale trade 0.57 0.66 0.49 Durable goods .69 .89 .60 1.29 3.15 1.84 1.32 2.10 1.76 1.83 1.82 2.34 1.55 4.70 2.12 2.53 3.21 2.47 4.37 1.85 3.72 1.89 2.59 1.96 1.22 2.87 1.53 2.39 1.08 1.91 .78 1.11 .82 1.95 2.50 3.27 1.22 2.76 2.56 2.54 1.64 1.62 3.63 3.55 4.73 1.81 2.66 2.23 3.13 4.99 2.43 1.87 2.90 2.43 1.70 3.35 2.77 2.28 2.78 1.68 Motor vehicles, parts, and supplies Furniture and home furnishings Lumber and other construction materials Professional and commercial equipment Metals and minerals, except petroleum Electrical goods Hardware, plumbing, and heating equipment Machinery, equipment, and supplies Misc. wholesale trade durable goods ............. Nondurable goods » .*.„..*.». Paper and paper products.... Drugs, proprietaries, and sundries Apparel, piece goods, and notions Groceries and related products Farm-product raw materials Chemicals and allied products Petroleum and petroleum products Beer, wine, and distilled beverages Misc. wholesale trade nondurable goods Table 2-J. Standard error for change in levels estimates of employment, hours, and earnings in wholesale trade Standard error 3-month change Standard error 1-month change Industry All All All Average Average Average Average emweekly ememhourly weekly hourly ployees hours earnings ployees hours earnings ployees Wholesale trade 8,694 6,024 0.08 .10 0.04 Durable goods 1,784 1,252 1,362 2,778 971 2,165 .26 .44 .32 .23 .42 .25 1,245 2,571 2,071 .27 .17 .30 .13 .37 .39 .39 .24 .51 .49 .41 .36 .27 Motor vehicles, parts, and supplies Furniture and home furnishings Lumber and other construction materials. Professional and commercial equipment. Metals and minerals, except petroleum.... Electrical goods Hardware, plumbing, and heating equipment Machinery, equipment, and supplies Misc. wholesale trade durable goods Nondurable goods Paper and paper products Drugs, proprietaries, and sundries Apparel, piece goods, and notions Groceries and related products Farm-product raw materials Chemicals and allied products Petroleum and petroleum products Beer, wine, and distilled beverages Misc. wholesale trade nondurable goods . Standard error 12-month change 5,750 1,596 1,778 1,746 3,091 1,260 1,054 952 926 2,647 0.11 .13 .31 .58 .39 .32 .48 .32 0.05 .09 .19 .12 .15 .14 .19 13,804 9,175 2,864 2,071 2,524 4,990 1,448 3,222 .13 .09 .11 2,091 3,824 3,385 .05 9,747 .18 .24 .16 .08 .13 .17 .11 .19 .08 2,841 2,769 2,897 5,401 1,933 1,623 1,560 1,555 4,648 .05 198 Average Average weekly hourly hours earnings 0.16 .12 .29 .16 .20 .18 .24 26,198 18,995 5,838 4,674 4,155 9,935 2,862 7,469 .68 .83 .63 .45 .90 .49 0.09 .12 .19 .59 .25 .39 .28 .34 .44 .22 .40 .18 .11 .15 5,045 7,063 6,339 .64 .33 .64 .38 .20 .37 .18 .47 .58 .51 .33 .68 .68 .48 .51 .35 .07 16,865 .28 .22 .33 .23 4,556 5,231 5,927 8,969 2,552 2,962 3,270 2,176 6,997 .70 .92 .12 .37 .59 .39 .18 .29 .36 .30 .66 .21 .07 .r .20 .23 .14 .31 .12 .19 .81 .57 1.04 1.13 .76 .77 .54 Region, State, and Area Labor Force Data ("C" tables) FEDERAL-STATE COOPERATIVE PROGRAM Estimates for States signal is a time series model of the true labor force which consists of three components: A variable coefficient regression, a flexible trend, and a flexible seasonal component. The regression techniques are based on historical and current relationships found within each State's economy as reflected in the different sources of data that are available for each State—the Current Population Survey (CPS), the Current Employment Statistics (CES) survey, and the unemployment insurance (UI) system. The noise component of the models explicitly accounts for auto correlation in the CPS sampling error and changes in the average magnitude of the error. In addition, the models can identify and remove the effects of outliers in the historical CPS series. While all the State models have important components in common, they differ somewhat from one another to better reflect individual State characteristics. Two models—one for the employment-to-population ratio and one for the unemployment rate—are used for each State. The employment-to-population ratio, rather than the employment level, and the unemployment rate, rather than the unemployment level, are estimated primarily because these ratios are usually more meaningful for economic analysis. The employment-to-population ratio models use the relationship between the State's monthly employment from the CES and the CPS. The models also include trend and seasonal components to account for movements in the CPS not captured by the CES series. The seasonal component accounts for the seasonality in the CPS not explained by the CES, while the trend component adjusts for long-run systematic differences between the two series. The unemployment rate models use the relationship between the State's monthly unemployment insurance (UI) claims data and the CPS unemployment rate, along with trend and seasonal components. In both the employment-to-population ratio and unemployment rate models, an important feature is the use of a technique that allows the equations to adjust automatically to structural changes that occur. The regression portion of the model includes a built-in tuning mechanism, known as the Kalman Filter, which revises a model's coefficients when the new data that become available each month indicate that changes in the data relationships have taken place. Once the estimates are developed from the models, levels are calculated for employment, unemployment, and labor force. Current monthly estimates. Effective January 1996, civilian labor force and unemployment estimates for all States and the District of Columbia are produced using models based on a "signal-plus-noise" approach. The model of the Benchmark correction procedures. Once each year, monthly estimates for all States and the District of Columbia are adjusted, or benchmarked, by BLS to the annual average CPS estimates. The benchmarking technique employs a pro- Labor force and unemployment estimates for States, labor market areas (LMAs), and other areas covered under Federal assistance programs are developed by State employment security agencies under a Federal-State cooperative program. The local unemployment estimates which derive from standardized procedures developed by BLS are the basis for determining eligibility of an area for benefits under Federal programs such as the Job Training Partnership Act. Annual average data for the States and 337 areas shown in table C-3 are published in Employment and Earnings (usually the May issue). For regions, States, selected metropolitan areas, and central cities, annual average data classified by selected demographic, social, and economic characteristics are published in the BLS bulletin, Geographic Profile of Employment and Unemployment. Labor force estimates for counties, cities, and other small areas have been prepared for administration of various Federal economic assistance programs and may be ordered from the Superintendent of Documents, U.S. Government Printing Office, Washington, DC 20402. The report "Unemployment in States and Local Areas" is published monthly through GPO and is available in microfiche form only, on a subscription basis. ESTIMATING METHODS Monthly labor force, employment, and unemployment estimates are prepared for the 50 States, the District of Columbia, and over 6,500 areas, including nearly 2,400 LMAs, counties, and cities with a population of 25,000 or more. Regional aggregations are derived by summing the State estimates. The estimation methods are described below for States (and the District of Columbia) and for subState areas. At the sub-LMA (county and city) level, estimates are prepared using disaggregation techniques based on decennial and annual population estimates and current unemployment insurance data. A more detailed description of the estimation procedure is contained in the BLS document, Manual for Developing Local Area Unemployment Statistics. 199 Preliminary estimate—unemployment. In the current cedure (called the Denton method) which adjusts the annual average of the models to equal the CPS annual average, while preserving, as much as possible, the original monthly seasonal pattern of the model estimates. month, the estimate of unemployment is an aggregate of the estimates for each of two categories: (1) Persons who were previously employed in industries covered by State UI laws; and (2) those who were entering the civilian labor force for the first time or reentering after a period of separation. Estimates for sub-State areas Monthly labor force, employment, and unemployment estimates for two large sub-State areas—New York City and the Los Angeles-Long Beach metropolitan area—are obtained using the same modeling approach as for states. Estimates for the nearly 2,400 remaining LMAs, are prepared through indirect estimation techniques, described below. Sub-State adjustment for additivity. Estimates of employment and unemployment are prepared for the State and all LMAs within the State. The LMA estimates geographically exhaust the entire State. Thus, a proportional adjustment is applied to all sub-State preliminary LMA estimates to ensure that they add to the independently estimated State totals for employment and unemployment. For California and New York, the proportional adjustment is applied to all LMAs other than the two modeled areas, to ensure that the LMA estimates sum to an independent model-based estimate for the balance of State. Preliminary estimate—employment. The total civilian employment estimates are based largely on CES data. These "place-of-work" estimates must be adjusted to refer to place of residence as used in the CPS. Factors for adjusting from place of work to place of residence have been developed on the basis of employment relationships at the time of the 1990 decennial census. These factors are applied to the CES estimates for the current period to obtain adjusted employment estimates, to which are added estimates for employment not represented in the CES—agricultural employees, nonagricultural self-employed and unpaid family workers, and private household workers. Benchmark correction. At the end of each year, sub-State estimates are revised. The revisions incorporate any changes in the inputs, such as revisions in the CES-based employment figures, corrections in UI claims counts, and updated historical relationships. The updated estimates are then readjusted to add to the revised (benchmarked) State estimates of employment and unemployment. 200 Seasonal Adjustment Over the course of a year, the size of the Nation's labor force, the levels of employment and unemployment, and other measures of labor market activity undergo sharp fluctuations due to such seasonal events as changes in weather, reduced or expanded production, harvests, major holidays, and the opening and closing of schools. Because these seasonal events follow a more or less regular pattern each year, their influence on statistical trends can be eliminated by adjusting the statistics from month to month. These adjustments make it easier to observe the cyclical and other nonseasonal movements in the series. In evaluating changes in a seasonally adjusted series, it is important to note that seasonal adjustment is merely an approximation based on past experience. Seasonally adjusted estimates have a broader margin of possible error than the original data on which they are based, because they are subject not only to sampling and other errors but are also affected by the uncertainties of the seasonal adjustment process itself. Seasonally adjusted series for selected labor force and establishment-based data are published monthly in Employment and Earnings. Household data Since January 1980, national labor force data have been seasonally adjusted with a procedure called X-ll ARIMA (Auto-Regressive Integrated Moving Average), which was developed at Statistics Canada as an extension of the standard X-l 1 method. A detailed description of the procedure appears in The X-ll ARIMA Seasonal Adjustment Method by Estela Bee Dagum, Statistics Canada Catalogue No. 12564E, January 1983. BLS uses an extension of X-11 ARIMA to allow it to adjust more adequately for the effects of the presence or absence of religious holidays in the April survey reference period and of Labor Day in the September reference period. This extension was applied for the first time at the end of 1989 to three persons-at-work labor force series which tested as having significant and well-defined effects in their April data associated with the timing of Easter. At the beginning of each calendar year, projected seasonal adjustment factors are calculated for use during the January June period. In July of each year, BLS calculates and publishes in Employment and Earnings projected seasonal adjustment factors for use in the second half, based on the experience through June. Revisions of historical data, usually for the most recent 5 years, are made only at the beginning of each calendar year. However, as a result of the revisions to the estimates for 1970-81 based on 1980 census population counts, revisions to seasonally adjusted series in early 1982 were carried back to 1970. In 1994, data were revised only for that year because of the major redesign and 1990 census-based population controls, adjusted for the estimated undercount, introduced into the Current Population Survey. In 1996, 1990-93 data also were revised to incorporate these 1990 census-based population controls and seasonally adjusted series were revised back to 1990. Subsequent revisions are only carried back to 1994. All labor force and unemployment rate statistics, as well as the major employment and unemployment estimates, are computed by aggregating independently adjusted series. For example, for each of the three major labor force components—agricultural employment, nonagricultural employment, and unemployment—data for four sex-age groups (men and women under and over 20 years of age) are separately adjusted for seasonal variation and are then added to derive seasonally adjusted total figures. The seasonally adjusted figure for the labor force is a sum of eight seasonally adjusted civilian employment components and four seasonally adjusted unemployment components. The total for unemployment is the sum of the four unemployment components, and the unemployment rate is derived by dividing the resulting estimate of total unemployment by the estimate of the labor force. Because of the independent seasonal adjustment of various series, components will not necessarily add to totals. In each January issue (March issue in 1996), Employment and Earnings publishes revised seasonally adjusted data for selected labor force series based on the experience through December, new seasonal adjustment factors to be used to calculate the civilian unemployment estimate for thefirst6 months of the following year, and a description of the current seasonal adjustment procedure. Establishment data Effective in June 1996, with the release of the March 1995 benchmark revisions, BLS began using an updated version of the X-l2 ARIMA software developed by the Bureau of the Census to seasonally adjust national establishment-based employment, hours, and earnings series. The conversion to X-l2 ARIMA allows BLS to refine its seasonal adjustment procedures to control for survey interval variations, sometime referred to as the 4- vs. 5-week effect. While the CES survey is referenced to a consistent concept, the pay period including the 12th day of the month, inconsistencies arise because there are variations of 4 or 5 weeks between the week of the 12th in any given pair of months. In highly seasonal months and industries, this variation can be an important determinant of the magnitude of seasonal hires or layoffs that have occurred at the time the survey is taken, thereby complicating seasonal adjustment. 201 The interval effect adjustment is accomplished through the REGARIMA (regression with auto-correlated errors) option in the X-12 software. This process combines standard regression analysis, which measures correlations between two or more variables, with ARIMA modeling, which describes and predicts the behavior of a data series based on its own past history. In this application, the correlations of interest are those between employment levels in individual calendar months and the length of the survey intervals for those months. The REGARIMA models estimate and remove the variation in employment levels attributable to 11 separate survey intervals, one specified for each month, except March. March is excluded because this month has a 5-week interval between the February and March surveys only every 29 years. Effective with the release of the March 1997 benchmark, seasonally adjusted series for hours and earnings of production or nonsupervisory workers from 1989 forward incorporate refinements to the seasonal adjustment process to correct for distortions related to the method of accounting for the varying length of payroll periods across months—a calendar effect. REGARIMA modeling also is used to identify, measure, and remove this calendar effect for the publication level seasonally adjusted hours and earnings series. Projected seasonal factors for the establishment-based series are calculated and published twice a year, paralleling the procedure used for the household series. Revisions to historical data (usually the most recent 5 years) are made once a year, coincident with benchmark revisions. All series are seasonally adjusted using multiplicative models in X-12. Seasonal adjustment factors are computed and applied at component levels. For employment series, these are generally the 2-digit SIC levels. Seasonally adjusted totals are arithmetic aggregations for employment series and weighted averages of the seasonally adjusted data for hours and earnings series. Seasonally adjusted average weekly earnings are the product of seasonally adjusted average hourly earnings and average weekly hours. Average weekly earnings in constant dollars, seasonally adjusted, are obtained by dividing the average weekly earnings series by the seasonally adjusted Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W), and multiplying by 100. Indexes of aggregate weekly hours, seasonally adjusted, are obtained by multiplying average weekly hours by production or nonsupervisory workers and dividing by the 1982 annual average base. For total private, total goods-producing, total private service-producing, and major industry divisions, the indexes of aggregate weekly hours, seasonally adjusted, are obtained by summing the aggregate weekly hours for the appropriate component industries and dividing by the 1982 annual average base. Seasonally adjusted data are not published for a number of series characterized by small seasonal components relative to their trend-cycle and/or irregular components. These series, however, are used in the aggregation to higher level seasonally adjusted series. Seasonal adjustment factors for Federal Government employment are derived from unadjusted data which include Christmas temporary workers employed by the Postal Service. The number of temporary census workers for the decennial census, however, is removed prior to the calculation of seasonal adjustment factors. The standard procedure for seasonal adjustment for the local education employment series was improved with the 1997 benchmark. In the past, the seasonal factors for this industry were derived using the standard seasonal adjustment procedure of a logarithmic transformation of the data as input for the multiplicative decomposition of the series. However, in recent years, the forecasted seasonal factors have failed to adequately reflect the changing behavior of this industry in the summer months. The factors for this industry are now derived using a square-root transformation of the data as input for an additive decomposition of the series. These modifications produce seasonal factors that better reflect current industry seasonal patterns. However, the annual averages of seasonally adjusted and unadjusted series will not be equal. BLS also makes special adjustments for floating holidays for the establishment-based series on average weekly hours and manufacturing overtime hours. From 1988 forward, these adjustments are now accomplished as part of the X-12 ARIMA/REGARIMA modeling process. The special adjustment made in November each year to adjust for the effect of poll workers in the local government employment series also is incorporated into the X-12 process from 1988 forward. Revised seasonally adjusted national establishment-based series based on the experience through March 2000, new seasonal adjustment factors for March-October 2000, and a description of the current seasonal adjustment procedure appear in the June 2000 issue of Employment and Earnings. Revised factors for the September 2000-April 2001 period will appear in the December issue. Beginning in 1993, BLS introduced publication of seasonally adjusted nonfarm payroll employment data by major industry for all States and the District of Columbia (table B-7). Seasonal adjustment factors are applied directly to the employment estimates at the division level (component series for manufacturing and trade) and then aggregated to the State totals. The recomputation of seasonal factors and historical revisions are made coincident with the annual benchmark adjustments. State estimation procedures are designed to produce accurate (unadjusted and seasonally adjusted) data for each State. BLS independently develops a national employment series; State estimates are not forced to sum to national totals. Because each State series is subject to larger sampling and nonsampling errors than the national series, summing them cumulates individual State level errors and can cause significant distortions at an aggregate level. Due to these statistical limitations, BLS does not compile a 202 "sum-of-States" employment series, and cautions users that such a series is subject to a relatively large and volatile error structure. Region and State labor force data Beginning in 1992, BLS introduced publication of seasonally adjusted labor force data for the census regions and divisions, the 50 States, and the District of Columbia (tables C-l and C-2). Beginning in 1998, regional aggregations are derived by summing the State estimates. Using the X-ll 203 ARIMA procedure, seasonal adjustment factors are computed and applied independently to the component employment and unemployment levels and then aggregated to regional or State totals. Current seasonal adjustment factors are produced for 6-month periods twice a year. Historical revisions usually are made at the beginning of each calendar year. Because of the separate processing procedures, totals for the Nation, as a whole, differ from the results obtained by aggregating regional or State data.