Full text of Employment and Earnings : March 2003
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U.S. DEPARTMENT OF LABOR Elaine L. Chao, Secretary BUREAU OF LABOR STATISTICS Kathleen R Utgoff, Commissioner 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 U.S. Census Bureau (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. March 2003 Vol.50 No.3 Calendar of Features 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. Employment & Earnings may be ordered from: New Orders, Superintendent of Documents, P.O. Box 371954, Pittsburgh, PA 15250-7954. Phone (202) 5121800. Subscription price per year $53 domestic and $74.20 foreign. Single copy $27 domestic and $37.80 foreign. Prices are subject to change by the U.S. Government Printing Office. Annual averages Jan. Earnings by detailed occupation Jan. Union affiliation Jan. Minimum wage data Jan. 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. Employee absences Jan. 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 ://w w w. bis. gov/cps/ National establishment data: Telephone: (202) 691-6555 E-mail: CESInfo@bls.gov Internet: http://www.bls. gov/ces/ State and area establishment data: Telephone: (202) 691-6559 E-mail: Data_SA @bls.gov Internet: http://www.bls.gov/sae/ Region, State, and area labor force data: Telephone: (202) 691-6392 E-mail: LausInfo@bls.gov Internet: http://www.bls.gov/lau/ Quarterly averages: Seasonally adjusted data, persons of Hispanic or Latino ethnicity, 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 to 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: Melvin B. Moxley EMPLOYMENT &EARNINGS Editor John F. Stinson Jr. Design and Layout Phyllis L. Lott Editor's Note With this issue, establishment-based State and area estimates produced from the Current Employment Statistics (CES) program (tables B-7, B-14, and B-18) have been converted from a 1987 Standard Industrial Classification (SIC) system basis to a 2002 North American Industry Classification System (NAICS) basis. NAICS focuses on how products and services are created, as opposed to the SIC focus on what is produced. This approach yields significantly different industry groupings than those produced by the SIC approach. Consequently, the NAICS-based data by industry are not comparable with the previously published SIC-based data; SIC-based data series are no longer being produced or published. All State and metropolitan area nonfarm payroll employment estimates have a NAICS-based history extending back to January 1990, except for total nonfarm employment estimates which have retained their beginning dates. State and metropolitan estimates of average weekly hours, average hourly earnings, and other data series begin on a NAICS basis in January 2001. In addition, the nonfarm payroll State and metropolitan area data series reflect March 2002 benchmark levels, the completion of the conversion of the CES survey sample from a quota-based basis to a probability-based basis, the introduction of the use of small-domain models as the official estimators for the approximately 10 percent of CES published series which have insufficient sample for direct sample-based estimates, and a modification of the seasonal adjustment process. Additional information on the changes to the nonfarm payroll data series for States and metropolitan areas appears in "Revisions to the Current Employment Statistics State and Area Estimates Effective January 2003," beginning on page 4. Also with this issue, regional (table C-l) and State (table C-2) labor force data have been revised to incorporate population controls reflecting the results of Census 2000, the reestimation of models, benchmarking to CPS annual averages, and revised seasonal adjustment factors. Area labor force data (table C-3) also reflect revised inputs to the estimation process. Seasonally adjusted data back to 1998 and not seasonally adjusted data back to 2000 are subject to revision. Revised State and area establishment-based data and regional, State, and area labor force data are available at http://www.bls.gov/sae/ and http://www.bls.gov/lau/, respectively. Significant changes to the national nonfarm payroll data will be introduced in June 2003. For additional information, see the box note on page 3. Contents Page List of statistical tables Contents to the explanatory notes and estimates of error Employment and unemployment developments, February 2003 Revisions to the Current Employment Statistics State and area estimates effective January 2003 Summary tables and charts Explanatory notes and estimates of error Index to statistical tables ii iv 1 4 9 152 200 Statistical tables Source Household data Establishment data: Employment: National State Area Hours and earnings: National State and area Local area labor force data: Region State Area Historical Seasonally adjusted ' Not seasonally adjusted 11 13 23 55 59 64 77 90 90 56 73 114 136 139 141 146 146 Monthly Household Data Historical A-l. Employment status of the civilian noninstitutional population 16 years and over, 1969 to date 11 A-2. Employment status of the civilian noninstitutional population 16 years and over by sex, 1991 to date 12 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 or Latino ethnicity 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 Characteristics of the Employed 13 14 16 17 A-l. Employed persons by class of worker and part-time status 18 A-8. Employed persons by age, sex, and marital status 19 Characteristics of the Unemployed A-9. A-10. A-ll. A-12. Unemployed persons by age, sex, and marital status Unemployment rates by age, sex, and marital status Unemployed persons by reason for unemployment Unemployed persons by duration of unemployment 20 21 22 22 Not Seasonally Adjusted Data Employment Status A-13. Employment status of the civilian noninstitutional population by age, sex, and race A-14. Employment status of the Hispanic or Latino population by age and sex A-15. Employment status of the civilian noninstitutional population by race, sex, age, and Hispanic or Latino ethnicity A-16. Employment status of the civilian noninstitutional population 16 to 24 years of age by school enrollment, educational attainment, sex, race, and Hispanic or Latino ethnicity A-17. Employment status of the civilian noninstitutional population 25 years and over by educational attainment, sex, race, and Hispanic or Latino ethnicity A-18. Employed and unemployed full- and part-time workers by age, sex, race, and Hispanic or Latino ethnicity Characteristics of the Employed A-19. A-20. A-21. A-22. A-23. A-24. A-25. A-26. A-27. Employed persons by occupation, sex, and age Employed persons by occupation, race, Hispanic or Latino ethnicity, and sex Employed persons by industry and occupation Employed persons in agriculture and related and in nonagricultural industries by age, sex, and class of worker Persons at work in agriculture and related and in nonagricultural industries by hours of work Persons at work 1 to 34 hours in all and in nonagricultural industries by reason for working less than 35 hours and usual full- or part-time status Persons at work in nonagricultural industries by class of worker and usual full- or part-time status Persons at work in nonagricultural industries by age, sex, race, Hispanic or Latino ethnicity, marital status, and usual full- or part-time status Persons at work by occupation, sex, and usual full- or part-time status 23 27 28 29 31 32 34 35 37 38 39 39 40 41 42 Characteristics of the Unemployed A-28. A-29. A-30. A-31. A-32. A-33. A-34. A-35. Unemployed persons by marital status, race, Hispanic or Latino ethnicity, age, and sex Unemployed persons by occupation and sex Unemployed persons by industry and sex Unemployed persons by reason for unemployment, sex, and age Unemployed persons by reason for unemployment, race, and Hispanic or Latino ethnicity Unemployed persons by reason for unemployment, sex, age, and duration of unemployment Unemployed total and full-time workers by duration of unemployment Unemployed persons by age, sex, race, Hispanic or Latino ethnicity, marital status, and duration of unemployment A-36. Unemployed persons by occupation, industry, and duration of unemployment 43 44 45 47 48 49 49 50 51 Persons Not in the Labor Force A-37. Persons not in the labor force by desire and availability for work, age, and sex 52 Multiple Jobholders A-38. Multiple jobholders by selected demographic and economic characteristics 53 Monthly Establishment Data Historical B-l. Employees on nonfarm payrolls by major industry, 1952 to date B-2. Average hours and earnings of production or nonsupervisory workers on private nonfarm payrolls by major industry, 1964 to date 55 56 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 B-6. Diffusion indexes of employment change 59 61 62 63 States B-7. Employees on nonfarm payrolls by State and major industry 64 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 73 74 75 76 Not Seasonally Adjusted Data Employment National B-l2. Employees on nonfarm payrolls by detailed industry 77 B-13. Women employees on nonfarm payrolls by major industry and manufacturing group 89 States and Areas B-14. Employees on nonfarm payrolls in States and selected areas by major industry 90 Hours and Earnings National B-15. Average hours and earnings of production or nonsupervisory workers on private nonfarm payrolls by detailed industry 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 114 134 135 136 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 139 141 Not Seasonally Adjusted Data C-3. Labor force status by State and metropolitan area 146 Explanatory Notes arid Estimates of Error Page Introduction Relationship between the household and establishment series Comparability of household data with other series Comparability of payroll employment data with other series 152 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 154 154 154 157 157 158 Establishment data Data collection Concepts Estimating methods Benchmarks Monthly estimation Stratification 172 172 172 174 174 175 175 152 153 153 161 161 162 163 163 163 163 164 164 164 164 165 165 165 165 166 166 Establishment data—Continued Link relative technique Model-based adjustment Summary of methods table The sample Design Coverage Reliability Measures of error table Benchmark revision as a measure of survey error. 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 probability-based industries Statistics for States and areas 175 175 176 178 178 178 178 178 179 179 179 184 184 184 185 185 186 187 187 188 188 189 189 Region, State, and area labor force data Federal-State cooperative program Estimating methods Estimates for States Current monthly estimates Benchmark correction procedures Estimates for substate areas Preliminary estimate: Employment Unemployment Substate adjustment for additivity Benchmark correction 194 194 194 194 194 194 195 Seasonal adjustment 196 195 195 195 195 Employment and Unemployment Developments, February 2003 T otal nonfarm payroll employment fell by 308,000 in February, while the unemployment rate was about unchanged at 5.8 percent. Job losses were widespread, with retail trade and services posting especially large declines. Unemployment The unemployment rate was little changed in February, at 5.8 percent; the number of unemployed persons was 8.5 million. Since November 2001, the unemployment rate has ranged from 5.6 to 6.0 percent. The jobless rates for the major worker groups in February were: adult men (5.3 percent), adult women (5.0 percent), teenagers (17.1 percent), whites (5.0 percent), blacks or African Americans (10.5 percent), Asians (6.0 percent, not seasonally adjusted), and Hispanics or Latinos (7.7 percent). (See tables A-3, A-4, and A-13.) In February, nearly 1.9 million persons had been unemployed for 27 weeks or more. They made up about 22 percent of all unemployed persons, compared with about 15 percent a year earlier. (See table A-12.) Total employment and the labor force Total employment in February was 137.4 million and the employment-population ratio was 62.4 percent. The civilian labor force was 145.9 million. The labor force participation rate—the proportion of the population age 16 and older who are either working or looking for work—was 66.3 percent. (See table A-3.) The number of persons working part time for economic reasons was 4.8 million in February. These persons indicated that they would like to work full time but worked part time because their hours had been cut back or they were unable to find a full-time job. (See table A-l.) Persons not in the labor force About 1.6 million persons (not seasonally adjusted) were marginally attached to the labor force in February. 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 450,000 in February, somewhat higher than a year earlier. 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-37.) Industry payroll employment Total nonfarm payroll employment fell by 308,000 in February to 130.5 million, seasonally adjusted. Job losses were widespread in February, with the largest decreases in services and retail trade. Employment also fell sharply in construction and declines continued in manufacturing and in transportation and public utilities. (See table B-3.) Services employment fell by 86,000 in February; despite this decline, the industry has added more than half a million jobs since January 2002. Employment in amusement and recreation and in hotels decreased by 21,000 and 17,000, respectively, in February. Business services lost 26,000jobs over the month, with decreases in services to buildings and in miscellaneous business services. Employment in help supply services and computer and data processing services was essentially unchanged over the month. Health services employment also was little changed in February; the industry had added an average of 21,000 jobs a month during 2002. Retail trade employment decreased by 92,000 in February. This was the third month in a row with a large swing in retail employment; eating and drinking places accounted for a large share of the change in each of these months. From a longer-term perspective, employment in eating and drinking places has been on a downward trend since July 2001. Apparel and accessory stores lost 15,000 jobs in February, while department stores gained 27,000, after seasonal adjustment. Employment in both industries generally has been trending down since mid-2001. In February, transportation and public utilities lost 41,000 jobs. Since its peak 2 years ago, this industry has lost over half a million jobs. Much of this decline occurred in air transportation and in communications, where employment decreased by 12,000 and 7,000, respectively, in February. In addition, the trucking industry lost 17,000 jobs over the month. Employment in finance was little changed in February, despite continuing gains in mortgage banking. Low mortgage rates have driven employment growth in this industry. Since January 2001, mortgage bankers have increased employment by 41 percent (122,000 jobs). In the goods-producing sector, construction employment dropped by 48,000 in February, following an increase of 26,000 in January. Since April 2002, construction employment has held at about 6.5 million. Employment in the manufacturing industry continued its downward trend. In February, 53,000 factory jobs were lost—about in line with the average monthly decline for the prior 6 months. Over the month, industrial machinery and electronics had the largest job losses (10,000 each), while fabricated metals employment declined by 9,000. Weekly hours The average workweek for production or nonsupervisory workers on private nonfarm payrolls declined by 0.2 hour in February to 34.1 hours, seasonally adjusted. This followed an increase of the same size in January. The manufacturing workweek held steady at 40.8 hours. Manufacturing overtime was up by 0.1 hour to 4.2 hours. (See table B-8.) The index of aggregate weekly hours of production or nonsupervisory workers on private nonfarm payrolls fell by 1.0 percent in February to 147.0 (1982=100), seasonally adjusted. The manufacturing index fell by 0.8 percent to 90.3 over the month. (See table B-9.) Hourly and weekly earnings Average hourly earnings of production or nonsupervisory workers on private nonfarm payrolls increased by 11 cents in February to $15.08, seasonally adjusted. This followed a loss of 1 cent (as revised) in January. The average increase for the 2 months (5 cents) is in line with the average monthly gain (4 cents) for 2002. Average weekly earnings rose by 0.1 percent in February to $514.23. Over the year, average hourly earnings increased by 3.2 percent and average weekly earnings grew by 2.9 percent. (See table B-ll.) Scheduled Release Dates Employment and unemployment data are scheduled for initial release on the following dates: Reference month Release date Reference month Release date March April 4 June July 3 April May 2 July August 1 May June 6 August September 5 March 2002 National Benchmarks In accordance with standard practice, BLS will release the March 2002 nonfarm payroll employment benchmark revisions with the May data on June 6,2003. Also on that date, BLS will convert the nonfarm payroll survey data from the 1987 Standard Industrial Classification (SIC) system to the 2002 North American Industry Classification System (NAICS), and will implement several other methodological changes, including completion of the final phase of the survey's sample redesign. All of the current and historical nonfarm payroll employment series will be revised to incorporate these changes. The net effect of benchmarking and the other changes will be a downward adjustment to the currently published over-the-year change for March 2001 to March 2002 of 313,000 or 0.2 percent, not seasonally adjusted. Additional information on the upcoming changes to the nonfarm payroll survey data is provided on page 3. Upcoming Changes to National Nonfarm Payroll Data Series NAICS conversion. The nonfarm payroll series, produced from the Current Employment Statistics (CES) program, will be converted from the 1987 Standard Industrial Classification (SIC) basis to the 2002 North American Industry Classification System (NAICS) basis with the release of May 2003 estimates on June 6, 2003. The NAICS conversion involves major definitional changes to many of the currently published SICbased series. After the conversion to NAICS, SIC-based series will no longer be produced or published. Historical time series will be reconstructed as part of the NAICS conversion process. All published series will have a NAICS-based history extending back to at least January 1990. For total nonfarm and other highlevel aggregates, NAICS history will begin in January 1939, the current starting date for these series. For more detailed series, the starting date will vary depending on the scope of the definitional changes between SIC and NAICS. The NAICS-based reconstruction effort will cover all CES published data types: All employees, women workers, production workers, average weekly hours, average hourly earnings, and derivative series (for example, indexes of aggregate weekly hours). Completion of the CES sample redesign. June 6,2003, also will mark the completion of the CES sample redesign phase-in. The redesign converts the CES from a quota-based sample to a probability-based sample. In June 2003, the services industries will be converted to the new sample design; all other private sector industries have already been converted. The final stage of sample redesign phase-in may result in level shifts for average weekly hours, average hourly earnings, production worker, and women worker series. New levels for these series are being recomputed from the NAICS-based probability sample. Concurrent seasonal adjustment Also beginning in June 2003, the CES program will convert to concurrent seasonal adjustment, which uses all available monthly estimates, including those for the current month, in developing seasonal factors. Currently, the CES program projects seasonal factors twice a year. With the introduction of concurrent seasonal adjustment, BLS will no longer publish seasonal factors for CES national estimates. Change to Federal Government series. Beginning in June 2003, the CES series for Federal Government employment will be revised slightly in scope and definition due to a change in source data and estimation methods. The current national series is an end-of-month Federal employee count produced by the Office of Personnel Management, and it excludes some workers, mostly employees who work in Department of Defense-owned establishments such as military base commissaries. The CES national series will include these workers starting in June. Also, Federal Government employment will be estimated from a sample of Federal establishments, will be benchmarked annually to counts from unemployment insurance tax records, and will reflect employee counts as of the pay period including the 12th of the month, consistent with other CES industry series. The historical time series for Federal Government employment will be revised to reflect these changes. Further information on upcoming changes to CES data series is available through the BLS public database on the Internet, via the CES homepage at http://www.bls.gov/ces/, or by calling 202-691-6555. Revisions to the Current Employment Statistics State and Area Estimates Effective January 2003 Molly E. Barth W ith the release of estimates for January 2003, State and area employment, hours, and earnings data produced from the Current Employment Statistics (CES) program incorporate several important changes that affect data analysis and comparison. These changes include: revisions will be published in the May issue of this publication. Over the last 5 years, the average absolute benchmark revision to State estimates of total nonfarm employment ranged from 0.4 to 0.7 percent. Completion of the CES sample redesign • • • • Incorporation of March 2002 benchmarks, Completion of the CES sample redesign, Conversion to the 2002 North American Industry Classification System (NAICS), and Modification of seasonal adjustment methodology. This article summarizes the nature of these changes and provides an indication of their effect on published estimates. Background The CES program is a Federal-State cooperative program that produces monthly estimates of employment, hours, and earnings based on nonagricultural establishment payrolls for the Nation, the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, and more than 270 Metropolitan Statistical Areas (MSAs). Information for these estimates is derived from a sample of more than 300,000 business establishments. CES estimates are some of the most closely watched and widely used economic indicators among public and private policymakers alike. The CES program offers several important attributes to its users: Timely release of data, an abundance of industry and geographic detail, and an annual benchmark to full population counts from State unemployment insurance (UI) tax records, which helps to maintain overall survey accuracy. Incorporation of March 2002 benchmarks With the release of data for January 2003, the State and area sample-based estimates have been adjusted to new benchmarks—comprehensive counts of employment— based primarily on UI reports filed by employers with State Employment Security Agencies. The revisions incorporate March 2002 benchmarks and affect data from 2001 forward. The size of employment revisions to March 2002 estimates is shown in table 1. Additional information on benchmark Molly E. Barth is an economist in the Division of Current Employment Statistics, Office of Employment and Unemployment Statistics, Bureau of Labor Statistics. Telephone: (202) 691-6559; e-mail: barth_m@bls.gov Background. Historically, the CES was based on a quotabased sample design whose inception over 50 years ago predates the introduction of probability sampling as the internationally recognized standard for sample surveys. Quota-based samples are known to be at risk for potentially significant biases; the large sample size and annual benchmark to population counts only partially mitigate the risk of bias inherent in a quota design. In June 1995, the Bureau of Labor Statistics (BLS) announced plans for a comprehensive sample redesign of its monthly payroll survey. The primary goal of the redesign was to develop probability-based sampling and estimating techniques, which would in turn enable CES to produce standard survey accuracy measures and confidence intervals, and improve upon methods for estimating business births and deaths. Probability sampling was to be enhanced by improved sample solicitation techniques. Methodology. The CES probability sample is a State-based design that minimizes variance on statewide total private nonfarm employment estimates. It is a simple random sample, stratified by industry and size, clustered by unemployment insurance (UI) report number. (UI records are the basis for the CES sampling frame and are a benchmark source.) The sample frame and the sample itself are updated twice a year, but on a lagged basis, as new quarters of UI records become available. Because of the lag in the sample frame, CES is using an ARIMA (Auto-Regressive Integrated Moving Average) time series model to estimate the net of business births and deaths not measurable on a current basis by the sample. The primary strength of the birth/death models is their basis in a 10-year time series from the BLS longitudinal UI database (LDB). The database stores firm-level information on business births, deaths, and employment levels. Reliance on historical trend, however, will somewhat limit the models' sensitivity to economic turning points. The initial research phase for the CES sample redesign was completed in 1997, and the BLS launched a production Table 1. Percent differences resulting from nonfarm payroll employment benchmarks by State, March 2002 State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Percent revision -0.8 1.0 .5 -.6 -1.2 -.6 -.1 -1.2 2.1 -.3 1.0 .3 -1.2 -.9 -.8 -1.2 -2.1 State Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina Percent revision -2.0 -1.9 -.8 .9 -1.4 -2.0 -.5 -.8 .6 -.2 -.6 -2.1 -1.2 -.2 .1 -.9 -.9 State North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Percent revision -1.1 -1.5 -1.8 -.7 .0 -.5 -1.6 -1.0 -2.1 -.2 -.1 .6 -.3 -.2 -.1 -1.4 -.5 Background. With the release of the January 2003 data, the CES program begins publishing its State and area data series under NAICS. NAICS replaces the SIC system used by U.S. statistical agencies for 60 years. Created in 1997, NAICS is a collaborative effort by Canada, Mexico, and the United States to standardize their economic data series. In addition to providing data comparability among the North American countries, NAICS conversion carries several other positive implications. First, NAICS increases the number of industry classifications to 1,170,15 percent more than were previously recognized under SIC. Most of this expansion comes in service-related industries, with new industries such as HMO medical centers, warehouse clubs and superstores, and bed-and-breakfast inns. Other important additions are numerous "high-tech" industries, such as cellular telecommunications and software reproduction. Second, from an organizational standpoint, NAICS is more consistent than the SIC because all industries are classified according to a single principle: similarity of production processes. The SIC had no unifying standard by which industries were categorized. Third, NAICS will be reviewed and updated every 5 years by all three North American countries. This will ensure that the classification system always captures the newest of our economy's ever-evolving industries. NAICS doubles the amount of top-level industry groupings, known as sectors. There are 20 broad sectors, compared with only 10 major industry divisions under SIC. In addition to these sectors, BLS and its U.S. NAICS partners (the Bureau of Economic Analysis and the U.S. Census Bureau) have further aggregated industry classifications into 11 supersectors. Above the supersectors are two more aggregations, the commonly known domains of goodsproducing and service-providing.2 The resulting changes are fundamental. Manufacturing, which is a NAICS sector as well as a BLS supersector, is structurally different from manufacturing under SIC. The sector has 79 new industries, including computer and electronic product manufacturing. Also notable under NAICS, publishing has been moved from manufacturing to information, and logging has been reclassified into natural resources and mining. Another important change is the creation of an information sector. Also a BLS supersector, information contains 34 industries that produce, disseminate, or process information and cultural products. Twenty of these industries are new, including Internet service providers, 1 For more information on CES redesign methodology and implementation, see the Update on the BLS Sample Redesign for the Current Employment Statistics Survey at http://www.bls.gov/web/ cesred.htm. 2 See http://www.bls.gov/sae/saenaics.htm for complete information on the State and area CES conversion to NAICS. An overview of NAICS classification and its differences from SIC can be found at http://www.bls.gov/sae/saewhatis.htm. test of the new sample design at that time. In March 2001, the first State and area estimates from the redesign were published, for the wholesale trade major industry division. In March 2002, the next phase was implemented with the publication of redesign estimates for the mining, construction, and manufacturing divisions. The completion of the phase-in for the redesign, in March 2003, for the remaining industries coincides with the conversion of all State and area CES series from industry coding based on the 1987 Standard Industrial Classification (SIC) system to industry coding based on the 2002 version of the North American Industry Classification System (NAICS).1 Conversion to the 2002 NAICS sound recording studios, and cable program distributors. The remainder reflects reorganization of SIC industries, such as broadcasting and publishing. Management of companies and enterprises (sector 55) also is the result of major structural SIC reorganization. Under SIC, corporate headquarters were treated as "auxiliary" establishments and classified in the same industry as their parent companies. NAICS treats headquarters as separate establishments and classifies them within sector 55, which is part of the BLS supersector of professional and business services. Publication levels and data availability. NAICS conversion ultimately results in more meaningful economic data, but it presents the initial problem of discontinuity with currently published SIC series. There are 544 SIC industries that are either discontinued or unidentifiable within NAICS, compared with only 38 that are identical to a given NAICS industry. Moreover, there are 320 NAICS industries that are completely new. While the NAICS coding structure provides many new breakouts not available in the SIC system, the amount of CES published detail is constrained by the overall CES sample size. To accommodate data users' needs for time series data, CES has reconstructed State and area all-employees series coded for NAICS back to January 1990 for most industries. Total nonfarm and total government data for each State and metropolitan area are still available for the entire history of the series. Although the logging industry was reclassified under agriculture, forestry, fishing and hunting under NAICS, it has been retained within the scope of the CES definition of nonfarm employment to preserve historical consistency. For the purpose of comparison, the CES program has established a minimum amount of industry detail for every State and MSA. This publication structure is shown in table 2. Beyond the minimum guaranteed number of series, additional NAICS employment series are published where there is sufficient sample. The guaranteed published series add up to goods-producing, service-providing, total private, and total nonfarm employment. Guaranteed employment series not meeting the minimum publication criteria for direct sample-based estimation are estimated using an econometric modeling technique known as the CES Small Domain Model (SDM). The SDM is a weighted least-squares-regression model based on the following inputs: (1) An estimate based on the available CES sample for that series, (2) a time series projection based on the trend from 10 years of historical data, and (3) for an MSA, an estimate borrowed from the statewide series for the same industry. The weights for each of the inputs are recalculated monthly. Most of the models are applied to smaller industries in small MSAs. NAICS conversion has resulted in a net expansion in the number of employment-series available. There are 15,293 all-employees series published under NAICS, compared with 13,064 under the SIC. (See table 3.) The majority of CES hours and earnings series published are in manufacturing industries. The historical data were not reconstructed for NAICS hours and earnings series. The Table 2. Minimum CES State and area publication detail BLS code 00-000000 05-000000 06-000000 10-000000 20-000000 30-000000 07-000000 40-000000 41-000000 42-000000 43-000000 50-000000 55-000000 60-000000 65-000000 70-000000 80-000000 90-000000 90-910000 90-920000 90-930000 1 NAICS code - 10, 20, 30 1133 (logging), 21 23 31-33 40-90 42, 44-45, 48-49, 22 42 44-45 48-49, 22 51 52-53 54-56 61-62 71-72 81 - Industry Total nonfarm Total private (total nonfarm less government) Goods-producing Natural resources and mining 1 Construction Manufacturing Service-providing Trade, transportation, and utilities Wholesale trade Retail trade Transportation and warehousing and utilities Information Financial activities Professional and business services Educational services and health services Leisure and hospitality Other services, except public administration Government (defined by ownership) 2 Federal State Local Natural resources and mining may be combined with construction if there is insufficient sample to publish mining alone. 2 Some MSAs do not publish all the government publication detail due to small sample sizes. Table 3. CES State and area employment series: Publication structure Area employment Number of areas Statewide MSA>1,000,000 .... 500,000-999,999 .. 250,000-499,999 .. 100,000-249,999 .. MSA<100,000 51 29 35 41 97 85 4,020 1,880 1,491 1,411 2,533 1,729 4,989 2,300 1,936 1,490 2,719 1,859 969 420 445 79 186 130 338 13,064 15,293 2,229 Total NAICS SIC published published Difference series series series will start with January 2001 levels set from the probability sample averages. Reconstruction of all-employees time series data. The primary input to the reconstructed series is the LDB, which contains monthly employment levels for roughly 10 million establishments since 1990. The LDB received its first 2002 NAlCS-coded data for the first quarter of 2001. For those establishments that did not have NAICS codes on file, or that went out of business prior to March 2001, codes were imputed. If an SIC industry had a direct match in NAICS, the NAICS code was applied to the uncoded establishment. However, if an establishment's SIC did not have a direct match within NAICS, a NAICS code was assigned through an imputation procedure known as the "nearest neighbor" method. This process required use of a table that summarizes microdata across all States by ownership for possible SIC-to-NAICS combinations. An uncoded establishment was matched with a record that shared the same SIC and ownership codes, and whose average employment was closest to its own. This process thus assumed that employment is similar among establishments in the same NAICS industry. When there was more than one match, the uncoded establishment was randomly assigned a NAICS code based on the proportion of records assigned each NAICS code in a given SIC/NAICS group. For establishments that are part of a multiunit reporter, meaning that several establishments report employment and earnings data under a single UI account number, a nearest neighbor was first sought within the UI account.3 Once the LDB coding was accomplished, the establishment data were aggregated to produce statewide six-digit NAICS industry employment levels. These data were then further aggregated to all statewide publication levels. Similar logic was applied to MSA employment data; however, the data were aggregated based on the county code of each establishment as of the first quarter of each year. For 3 For a more detailed description of how NAICS codes were assigned to the LDB, see Implementing the NAICS for Business Surveys at BLS by Gordon Mikkelson, Teresa L. Morisi, and George Stamas, June 2000; available online at http://www.bls.gov/ore/pdf/ st000090.pdf. those industries that include jobs not covered by UI laws, such as religious organizations and railroads, the noncovered portion of employment was added to the summed LDB just as it is added to covered population counts for the CES benchmark. The greatest strength of this reconstruction methodology is its precision, as the series were summed from information on individual establishments. Also, keeping the NAICS codes constant throughout the history of the LDB lends an element of consistency to the data. Any errors, and subsequent corrections, in industry coding over the 19902001 period were eliminated. The major limitation to this methodology, however, was that keeping the industry code constant removed any true economic industry-code changes. The aggregate NAICS total nonfarm employment levels were controlled to previously published SIC totals. Any difference between these two levels was distributed proportionally across NAICS industries. Modification of seasonal adjustment methodology Background. The primary purpose of the CES program is to provide users with month-to-month changes in industry employment. However, the program also conducts an annual level adjustment for quality control known as the benchmark process. The CES benchmarking process noted above is the replacement of CES sample-based estimates with UI universe counts through the latest quarter for which data are available. Series are estimated using the sample going forward from the latest benchmark quarter. Because the CES sample-based estimates often exhibit a seasonal pattern that is different from the pattern demonstrated by the UI universe used as the benchmark replacement series, BLS uses a hybrid series for seasonal adjustment purposes. CES uses the original sample estimates for a span of 10 years and seasonally adjusts this series; similarly, a 10-year span of benchmarked data is also seasonally adjusted. The two series are then spliced together at the end of the benchmark quarter, and the seasonal factors generated from adjusting the sample series are applied to the next 12 months of sample estimates, until the next benchmark.4 Impact ofNAICS on data availability. The difficulty NAICS conversion brings to the seasonal adjustment process is that there is no NAICS sample estimate history available. To resolve this problem, CES applied SIC-to-NAICS employment ratios to the original SIC sample history to create a NAICS-based proxy. These estimates were then aggregated up to the NAICS supersectors. These proxy series have limitations; however, seasonal adjustment models 4 For more detailed information on CES seasonal adjustment methodology, see Seasonal Adjustment of Hybrid Economic Time Series by Stuart Scott, George Stamas, Thomas J. Sullivan, and Paul Chester, 1994; available online at http://www.bls.gov/ore/pdf/ st940350.pdf. weight the most recent years more heavily, so the impact of the proxy series will diminish in future years. For series that altogether lacked the SIC sample history needed to create a NAICS proxy series, there will be no seasonally adjusted data published. BLS is publishing seasonally adjusted statewide all employee series for supersectors and higher levels of aggregation, where sufficient seasonality and ratio-based sample history exist. Statewide seasonally adjusted total nonfarm employment was derived under SIC by summing the seasonally adjusted major industry divisions, which in turn were summed from seasonally adjusted two-digit industries. This practice will continue for most States under NAICS; that is, seasonally adjusted total nonfarm employment will be obtained by adding the adjusted supersectors. However, for cases which a State had few publishable seasonally adjusted supersectors, total nonfarm data were seasonally adjusted directly at the aggregate level. This affects only a small number of States. Additional information State and area employment, hours, and earnings data are available at http://www.bls.gov/sae/ on the BLS Internet site. Users may access the data via various retrieval methods at this address. Any questions on how to access the data through the Internet should be directed to webmaster@bls.gov. Inquiries for additional information on the methods or estimates derived from the CES survey should be sent to: U.S. Department of Labor, Bureau of Labor Statistics, Room 4860,2 Massachusetts Avenue, NE., Washington, DC 20212-0001. The telephone and fax numbers are (202) 691-6559 and (202) 691-6820, respectively. The e-mail address is sminfo@bls.gov. Summary table A. Major labor force status categories, seasonally adjusted (Numbers in thousands) 2002 2003 Category Feb. Mar. Apr. May June July Sept. Aug. Oct. Nov. Dec. Jan. Feb. 218,340 145,393 66.6 136,988 62.7 8,405 72,947 218,548 145,180 66.4 136,542 62.5 8,637 73,369 218,741 145,150 66.4 136,439 62.4 8,711 73,591 219,897 145,838 66.3 137,536 62.5 8,302 74,059 220,114 145,857 66.3 137,408 62.4 8,450 74,257 5.8 5.4 5.2 15.1 5.1 9.9 7.8 5.9 5.6 5.0 16.8 5.2 10.8 7.8 6.0 5.6 5.2 16.4 5.1 11.2 7.9 5.7 5.4 4.7 16.8 5.1 10.3 7.8 5.8 5.3 5.0 17.1 5.0 10.5 7.7 Labor force status Civilian noninstitutional population Civilian labor force Percent of population Employed Percent of population Unemployed Not in labor force 216,663 144,510 66.7 136,450 63.0 8,060 72,153 216,823 144,367 66.6 136,143 62.8 8,224 72,456 217,006 144,763 66.7 136,196 62.8 8,567 72,243 217,198 144,911 66.7 136,487 62.8 8,424 72,287 217,407 144,852 66.6 136,383 62.7 8,469 72,556 217,630 144,786 66.5 136,343 62.6 8,443 72,844 217,866 145,123 66.6 136,757 62.8 8,366 72,743 218,107 145,634 66.8 137,312 63.0 8,321 72,473 Unemployment rates All workers Men, 20 years and over Women, 20 years and over Both sexes, 16 to 19 years White Black or African American Hispanic or Latino ethnicity 5.6 5.0 5.0 16.0 4.9 9.7 7.0 5.7 5.2 5.0 16.6 5.0 10.4 7.3 5.9 5.3 5.3 16.9 5.2 10.8 7.9 5.8 5.2 5.2 17.0 5.2 10.1 7.1 NOTE: Beginning in January 2003, data reflect revised population controls used in 5.8 5.4 5.1 16.9 5.2 10.6 7.4 5.8 5.3 5.1 17.0 5.2 9.9 7.5 5.8 5.3 5.0 16.9 5.1 9.9 7.6 5.7 5.3 5.0 16.2 5.1 9.8 7.5 the household survey. Summary table B. Employment, hours, and earnings of production or nonsupervisory workers on nonfarm payrolls, seasonally adjusted (Numbers in thousands) 2002 2003 Industry Feb. Mar. Apr. May June July Sept. Oct. Nov. Dec. Jan.P Feb.P 130,829 109,536 23,748 552 6,556 16,640 107,081 6,725 6,663 23,291 7,773 41,336 21,293 130,898 109,549 23,688 552 6,544 16,592 107,210 6,727 6,657 23,289 7,803 41,385 21,349 130,817 109,453 23,631 551 6,543 16,537 107,186 6,721 6,643 23,247 7,807 41,404 21,364 130,670 109,311 23,551 553 6,544 16,454 107,119 6,686 6,637 23,152 7,816 41,469 21,359 130,855 109,485 23,570 550 6,570 16,450 107,285 6,684 6,638 23,268 7,812 41,513 21,370 130,547 109,164 23,466 547 6,522 16,397 107,081 6,643 6,637 23,176 7,815 41,427 21,383 -84 -88 -53 -3 0 -50 -31 -40 -8 -4 28 -11 4 69 13 -60 0 -12 -48 129 2 -6 -2 30 49 56 -81 -96 -57 -1 -1 -55 -24 -6 -14 -42 4 19 15 -147 -142 -80 2 1 -83 -67 -35 -6 -95 9 65 -5 185 174 19 -3 26 -4 166 -2 1 116 -4 44 11 -308 -321 -104 -3 -48 -53 -204 -41 -1 -92 3 -86 13 34.2 40.8 4.1 34.2 40.7 4.1 34.2 40.6 4.0 34.1 40.9 4.2 34.3 40.8 4.1 34.1 40.8 4.2 147.9 90.8 147.7 91.0 148.5 91.0 147.0 90.3 Aug. 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 130,706 109,544 24,041 564 6,597 16,880 106,665 6,837 6,689 23,331 7,745 40,901 21,162 130,701 109,505 23,975 560 6,593 16,822 106,726 6,814 6,681 23,332 7,740 40,963 21,196 130,680 109,495 23,905 564 6,541 16,800 106,775 6,799 6,678 23,345 7,743 41,025 21,185 130,702 109,496 23,870 558 6,541 16,771 106,832 6,793 6,681 23,327 7,732 41,093 21,206 130,736 109,525 23,861 555 6,549 16,757 106,875 6,790 6,681 23,308 7,733 41,152 21,211 130,790 109,562 23,812 551 6,519 16,742 106,978 6,780 6,679 23,339 7,737 41,215 21,228 130,913 109,624 23,801 555 6,556 16,690 107,112 6,765 6,671 23,295 7,745 41,347 21,289 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 -165 -190 -89 -4 -18 -67 -76 -13 -13 -65 -3 -7 25 -5 -39 -66 -4 -4 -58 61 -23 -8 1 -5 62 34 -21 -10 -70 4 -52 -22 49 -15 -3 13 3 62 -11 22 1 -35 -6 0 -29 57 -6 3 -18 -11 68 21 34 29 -9 -3 8 -14 43 -3 0 -19 1 59 5 54 37 -49 -4 -30 -15 103 -10 -2 31 4 63 17 123 62 -11 4 37 -52 134 -15 -8 -44 8 132 61 Hours of work1 Total private Manufacturing Overtime 34.2 40.7 3.9 34.2 41.0 4.1 34.2 40.9 4.2 34.2 40.9 4.2 34.3 41.1 4.3 34.0 40.7 4.0 34.1 40.9 4.2 Indexes of aggregate weekly hours (1982=100) 1 Total private Manufacturing 148.1 92.8 148.0 93.0 148.0 92.9 148.0 92.8 148.4 93.2 147.4 92.3 147.9 92.5 148.3 91.9 148.1 91.5 Earnings1 Average hourly earnings, total private: Current dollars Constant (1982) dollars2 Average weekly earnings, total private 1 $14.61 8.14 499.66 $14.64 8.13 500.69 $14.66 8.10 501.37 $14.69 8.11 502.40 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. Data have been revised to reflect updated seasonal adjustment factors used in the CPI-W. N.A. = not available. 2 $14.74 8.13 505.58 $14.76 8.12 501.84 $14.83 8.14 505.70 $14.85 8.13 507.87 $14.90 8.15 509.58 $14.94 8.16 510.95 $14.98 8.18 510.82 $14.97 8.14 513.47 $15.08 N.A. 514.23 p = preliminary. NOTE: Establishment survey estimates currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. Chart 1. Nonfarm payroll employment, seasonally adjusted, 1999-2003 Thousands Thousands Chart 2. Unemployment rate, seasonally adjusted, 1999-2003 Percent Percent NOTE: Beginning in 1999, data incorporate revisions in the population controls. Beginning in 2000, data include the use of new population controls that reflect Census 2000 results. Beginning in January 2003, data reflect an additional upward adjustment to population controls and other changes to the survey. These changes affect comparability with data for prior periods. (Numbers in thousands) Civilian labor force Year and month Civilian noninstitutional population Employed Number Percent of population Percent of population Number Unemployed Number Percent of labor force Not in labor force Annual averages 1969 134,335 80,734 60.1 77,902 58.0 2,832 3.5 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 93,774 96,158 99,008 102,250 104,962 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 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 99,302 100,397 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 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 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 66,836 67,547 68,385 20001 2001 2002 212,577 215,092 217,570 142,583 143,734 144,863 67.1 66.8 66.6 136,891 136,933 136,485 64.4 63.7 62.7 5,692 6,801 8,378 4.0 4.7 5.8 69,994 71,359 72,707 Monthly data, seasonally adjusted 2 2002: February March April May June July August September.... October November December 216,663 216,823 217,006 217,198 217,407 217,630 217,866 218,107 218,340 218,548 218,741 144,510 144,367 144,763 144,911 144,852 144,786 145,123 145,634 145,393 145,180 145,150 66.7 66.6 66.7 66.7 66.6 66.5 66.6 66.8 66.6 66.4 66.4 136,450 136,143 136,196 136,487 136,383 136,343 136,757 137,312 136,988 136,542 136,439 63.0 62.8 62.8 62.8 62.7 62.6 62.8 63.0 62.7 62.5 62.4 8,060 8,224 8,567 8,424 8,469 8,443 8,366 8,321 8,405 8,637 8,711 5.6 5.7 5.9 5.8 5.8 5.8 5.8 5.7 5.8 5.9 6.0 72,153 72,456 72,243 72,287 72,556 72,844 72,743 72,473 72,947 73,369 73,591 2003: January3 February 219,897 220,114 145,838 145,857 66.3 66.3 137,536 137,408 62.5 62.4 8,302 8,450 5.7 5.8 74,059 74,257 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 2003, data are not strictly comparable with data for 2002 and earlier years because of the revisions in the population controls used in the household survey. For additional information, see "Revisions to the Current Population Survey Effective in January 2003" in the February 2003 issue of this publication. (Numbers in thousands) Civilian labor force Sex, year, and month Civilian noninstitutional population Employed Number Percent of population Number Unemployed Percent of population Number Percent of labor force Not in labor force Annual averages MEN 1991 1992 1993 19941 1995 1996 19971 19981 19991 91,278 92,270 93,332 94,354 95,178 96,206 97,715 98,758 99,722 69,168 69,964 70,404 70,817 71,360 72,086 73,261 73,959 74,512 75.8 75.8 75.4 75.1 75.0 74.9 75.0 74.9 74.7 64,223 64,440 65,349 66,450 67,377 68,207 69,685 70,693 71,446 70.4 69.8 70.0 70.4 70.8 70.9 71.3 71.6 71.6 4,946 5,523 5,055 4,367 3,983 3,880 3,577 3,266 3,066 7.2 7.9 7.2 6.2 5.6 5.4 4.9 4.4 4.1 22,110 22,306 22,927 23,538 23,818 24,119 24,454 24,799 25,210 20001 2001 2002 101,964 103,282 104,585 76,280 76,886 77,500 74.8 74.4 74.1 73,305 73,196 72,903 71.9 70.9 69.7 2,975 3,690 4,597 3.9 4.8 5.9 25,684 26,396 27,085 Monthly data, seasonally adjusted 2 2002: February March April May June July August September October November December 104,114 104,198 104,293 104,393 104,501 104,616 104,738 104,863 104,985 105,094 105,195 77,175 77,240 77,387 77,676 77,566 77,542 77,677 78,013 77,727 77,618 77,492 74.1 74.1 74.2 74.4 74.2 74.1 74.2 74.4 74.0 73.9 73.7 72,821 72,719 72,780 73,093 72,893 72,931 73,023 73,402 73,151 72,773 72,690 69.9 69.8 69.8 70.0 69.8 69.7 69.7 70.0 69.7 69.2 69.1 4,355 4,521 4,607 4,583 4,673 4,610 4,654 4,610 4,575 4,845 4,801 5.6 5.9 6.0 5.9 6.0 5.9 6.0 5.9 5.9 6.2 6.2 26,938 26,958 26,906 26,718 26,936 27,074 27,062 26,851 27,258 27,476 27,703 105,767 105,895 77,693 77,927 73.5 73.6 72,994 73,249 69.0 69.2 4,699 4,678 6.0 6.0 28,074 27,968 2003: January3 February Annual averages WOMEN 1991 1992 1993 19941 1995 1996 19971 19981 19991 99,646 100,535 101,506 102,460 103,406 104,385 105,418 106,462 108,031 57,178 58,141 58,795 60,239 60,944 61,857 63,036 63,714 64,855 57.4 57.8 57.9 58.8 58.9 59.3 59.8 59.8 60.0 53,496 54,052 54,910 56,610 57,523 58,501 59,873 60,771 62,042 53.7 53.8 54.1 55.3 55.6 56.0 56.8 57.1 57.4 3,683 4,090 3,885 3,629 3,421 3,356 3,162 2,944 2,814 6.4 7.0 6.6 6.0 5.6 5.4 5.0 4.6 4.3 42,468 42,394 42,711 42,221 42,462 42,528 42,382 42,748 43,175 20001 2001 2002 110,613 111,811 112,985 66,303 66,848 67,363 59.9 59.8 59.6 63,586 63,737 63,582 57.5 57.0 56.3 2,717 3,111 3,781 4.1 4.7 5.6 44,310 44,962 45,621 Monthly data, seasonally adjusted 2 2002: February March April May June July August September October November December 112,549 112,626 112,713 112,805 112,906 113,014 113,127 113,243 113,355 113,455 113,546 67,334 67,127 67,376 67,235 67,286 67,244 67,446 67,621 67,667 67,562 67,658 59.8 59.6 59.8 59.6 59.6 59.5 59.6 59.7 59.7 59.5 59.6 63,629 63,423 63,416 63,394 63,490 63,412 63,734 63,910 63,837 63,769 63,749 56.5 56.3 56.3 56.2 56.2 56.1 56.3 56.4 56.3 56.2 56.1 3,706 3,704 3,960 3,841 3,796 3,832 3,712 3,711 3,829 3,792 3,909 5.5 5.5 5.9 5.7 5.6 5.7 5.5 5.5 5.7 5.6 5.8 45,215 45,499 45,337 45,569 45,620 45,770 45,681 45,622 45,689 45,893 45,888 114,130 114,219 68,144 67,930 59.7 59.5 64,542 64,159 56.6 56.2 3,603 3,772 5.3 5.6 45,985 46,289 2003: January3 February 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 2003, data are not strictly comparable with data for 2002 and earlier years because of the revisions in the population controls used in^the household survey. For additional information, see "Revisions to the Current Population Survey Effective in January 2003" in the February 2003 issue of this publication. (Numbers in thousands) Employment status, sex, and age 2003 2002 Feb. Mar. Apr. June May July Aug. Sept. Oct. Nov. Dec. Jan. Feb. 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 216,663 216,823 217,006 217,198 217,407 217,630 217,866 218,107 218,340 218,548 218,741 219,897 220,114 144,510 144,367 144,763 144,911 144,852 144,786 145,123 145,634 145,393 145,180 145,150 145,838 145,857 66.4 66.4 66.3 66.3 66.6 66.7 66.6 66.5 66.8 66.6 66.7 66.7 66.6 136,450 136,143 136,196 136,487 136,383 136,343 136,757 137,312 136,988 136,542 136,439 137,536 137,408 62.4 62.5 62.4 62.5 62.7 62.6 62.8 63.0 62.7 62.8 63.0 62.8 62.8 8,637 8,711 8,302 8,450 8,366 8,321 8,224 8,424 8,469 8,443 8,405 8,060 8,567 5.7 5.9 6.0 5.8 5.8 5.7 5.8 5.8 5.8 5.7 5.8 5.6 5.9 72,153 72,456 72,243 72,287 72,556 72,844 72,743 72,473 72,947 73,369 73,591 74,059 74,257 4,727 4,462 4,546 4,676 4,628 4,702 4,542 4,713 4,900 4,795 4,455 4,658 4,581 Men, 16 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Not in labor force 104,114 104,198 104,293 104,393 104,501 104,616 104,738 104,863 104,985 105,094 105,195 105,767 105,895 77,175 77,240 77,387 77,676 77,566 77,542 77,677 78,013 77,727 77,618 77,492 77,693 77,927 73.7 74.2 74.4 73.9 73.5 73.6 74.4 74.2 74.1 74.0 74.1 74.1 74.2 72,821 72,719 72,780 73,093 72,893 72,931 73,023 73,402 73,151 72,773 72,690 72,994 73,249 69.2 69.2 69.7 69.7 69.0 69.7 70.0 69.1 69.8 70.0 69.9 69.8 69.8 4,845 4,654 4,699 4,678 4,610 4,575 4,801 4,673 4,610 4,521 4,607 4,583 4,355 6.2 6.2 6.0 6.0 5.9 6.0 6.0 5.9 5.9 5.9 5.6 5.9 6.0 26,938 26,958 26,906 26,718 26,936 27,074 27,062 26,851 27,258 27,476 27,703 28,074 27,968 Men, 20 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Not in labor force 95,929 73,269 76.4 69,591 72.5 3,678 5.0 22,660 95,999 73,307 76.4 69,517 72.4 3,789 5.2 22,692 96,116 73,525 76.5 69,627 72.4 3,898 5.3 22,591 96,205 73,766 76.7 69,918 72.7 3,848 5.2 22,439 96,375 73,689 76.5 69,739 72.4 3,950 5.4 22,686 96,468 73,670 76.4 69,792 72.3 3,879 5.3 22,797 96,552 73,802 76.4 69,895 72.4 3,906 5.3 22,750 96,732 74,108 76.6 70,213 72.6 3,895 5.3 22,623 96,860 73,883 76.3 69,921 72.2 3,962 5.4 22,977 97,022 73,770 76.0 69,617 71.8 4,153 5.6 23,252 97,139 73,744 75.9 69,600 71.6 4,145 5.6 23,394 97,635 73,993 75.8 69,967 71.7 4,026 5.4 23,642 97,762 74,254 76.0 70,293 71.9 3,962 5.3 23,508 Women, 16 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Not in labor force 112,549 112,626 112,713 112,805 112,906 113,014 113,127 113,243 113,355 113,455 113,546 114,130 114,219 67,334 67,127 67,376 67,235 67,286 67,244 67,446 67,621 67,667 67,562 67,658 68,144 67,930 59.7 59.5 59.6 59.7 59.7 59.6 59.5 59.6 59.5 59.8 59.6 59.6 59.8 63,629 63,423 63,416 63,394 63,490 63,412 63,734 63,910 63,837 63,769 63,749 64,542 64,159 56.2 56.2 56.4 56.1 56.6 56.2 56.3 56.3 56.2 56.1 56.5 56.3 56.3 3,792 3,772 3,712 3,711 3,909 3,603 3,841 3,796 3,832 3,829 3,704 3,706 3,960 5.6 5.8 5.5 5.7 5.3 5.6 5.7 5.6 5.7 5.5 5.5 5.5 5.9 45,215 45,499 45,337 45,569 45,620 45,770 45,681 45,622 45,689 45,893 45,888 45,985 46,289 Women, 20 years and over Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Not in labor force 104,668 104,752 104,871 104,977 105,089 105,190 105,334 105,421 105,509 105,594 105,678 106,235 106,322 63,603 63,314 63,616 63,551 63,556 63,534 63,760 63,858 63,975 63,921 64,036 64,479 64,310 60.5 60.7 60.6 60.5 60.5 60.4 60.5 60.6 60.7 60.5 60.6 60.8 60.4 60,441 60,161 60,237 60,262 60,320 60,262 60,581 60,675 60,668 60,697 60,676 61,443 61,073 57.4 57.4 57.5 57.8 57.4 57.4 57.3 57.5 57.6 57.5 57.7 57.4 57.4 3,224 3,184 3,360 3,237 3,035 3,272 3,180 3,308 3,289 3,236 3,379 3,163 3,153 5.2 4.7 5.0 5.0 5.0 5.2 5.2 5.1 5.0 5.1 5.0 5.3 5.0 41,065 41,438 41,255 41,426 41,533 41,656 41,574 41,563 41,533 41,673 41,642 41,757 42,013 Both sexes, 16 to 19 years Civilian noninstitutional population1 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Not in labor force 16,065 7,637 47.5 6,418 40.0 1,219 16.0 8,428 16,073 7,746 48.2 6,464 40.2 1,282 16.6 8,327 16,019 7,622 47.6 6,331 39.5 1,290 16.9 8,397 16,017 7,594 47.4 6,307 39.4 1,287 17.0 8,422 15,943 7,607 47.7 6,324 39.7 1,283 16.9 8,337 1 The population figures are not adjusted for seasonal variation. NOTE: Beginning in January 2003, data reflect revised population controls used 15,972 7,581 47.5 6,289 39.4 1,292 17.0 8,391 15,980 7,561 47.3 6,280 39.3 1,280 16.9 8,419 15,954 7,667 48.1 6,425 40.3 1,243 16.2 8,287 in the household survey. 15,971 7,535 47.2 6,400 40.1 1,135 15.1 8,436 15,933 7,489 47.0 6,228 39.1 1,261 16.8 8,444 15,925 7,369 46.3 6,164 38.7 1,206 16.4 8,555 16,027 7,366 46.0 6,125 38.2 1,241 16.8 8,661 16,030 7,293 45.5 6,042 37.7 1,251 17.1 8,736 (Numbers in thousands) Employment status, race, sex, age, and Hispanic or Latino ethnicity 2003 2002 Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. WHITE 1 Civilian noninstitutional population 2 . . . 179,178 179,279 179,398 179,524 179,665 179,816 179,979 180,146 180,306 180,450 180,580 180,460 180,599 120,020 119,863 120,059 120,197 120,152 120,272 120,449 120,502 120,479 120,345 120,093 120,084 120,166 Civilian labor force 66.5 66.7 66.5 66.5 66.9 66.8 66.9 66.9 67.0 66.9 66.9 66.9 67.0 Percent of population 114,092 113,871 113,834 114,003 113,951 114,008 114,250 114,373 114,294 114,128 113,910 113,995 114,135 Employed 63.2 63.2 63.4 63.2 63.1 63.5 63.4 63.5 63.5 63.5 63.4 63.5 Employment-population ratio 63.7 6,031 6,184 6,089 6,184 6,218 6,199 6,129 6,264 6,195 6,201 6,225 5,992 5,928 Unemployed 5.2 5.1 5.0 5.1 5.2 5.1 5.1 5.1 5.2 5.2 5.2 5.0 4.9 Unemployment rate 59,157 59,416 59,339 59,327 59,513 59,545 59,530 59,644 59,828 60,104 60,487 60,376 60,432 Not in labor force Men, 20 years and over Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 61,914 76.8 59,164 73.4 2,750 4.4 61,815 76.6 58,988 73.1 2,827 4.6 61,957 76.8 58,985 73.1 2,972 4.8 62,154 76.9 59,197 73.3 2,958 4.8 62,095 76.8 59,129 73.1 2,966 4.8 62,121 76.7 59,160 73.1 2,962 4.8 62,272 76.9 59,273 73.1 2,999 4.8 62,298 76.8 59,328 73.1 2,970 4.8 62,243 76.6 59,246 73.0 2,997 4.8 62,229 76.6 59,127 72.7 3,102 5.0 62,112 76.3 59,053 72.6 3,059 4.9 62,003 76.2 58,994 72.5 3,009 4.9 62,235 76.4 59,342 72.8 2,893 4.6 51,719 60.1 49,449 57.5 2,269 4.4 51,550 59.9 49,326 57.3 2,223 4.3 51,746 60.1 49,401 57.4 2,346 4.5 51,731 60.0 49,418 57.4 2,313 4.5 51,694 60.0 49,402 57.3 2,292 4.4 51,734 60.0 49,432 57.3 2,302 4.4 51,837 60.0 49,576 57.4 2,261 4.4 51,817 60.0 49,563 57.3 2,255 4.4 51,909 60.0 49,601 57.3 2,308 4.4 51,785 59.8 49,586 57.3 2,199 4.2 51,752 59.7 49,488 57.1 2,264 4.4 51,909 60.0 49,768 57.5 2,141 4.1 51,840 59.9 49,645 57.3 2,194 4.2 6,388 50.7 5,479 43.5 909 14.2 6,498 51.6 5,557 44.1 941 14.5 6,355 50.5 5,449 43.3 907 14.3 6,312 50.1 5,388 42.8 925 14.6 6,363 50.5 5,420 43.0 943 14.8 6,416 51.0 5,416 43.0 1,001 15.6 6,340 50.4 5,401 42.9 939 14.8 6,387 50.7 5,482 43.5 905 14.2 6,328 50.2 5,448 43.3 880 13.9 6,332 50.3 5,415 43.0 917 14.5 6,230 49.4 5,369 42.6 861 13.8 6,172 49.4 5,232 41.9 940 15.2 6,091 48.8 5,147 41.2 944 15.5 25,414 16,473 64.8 14,876 58.5 1,597 9.7 8,940 25,444 16,454 64.7 14,746 58.0 1,708 10.4 8,990 25,478 16,638 65.3 14,843 58.3 1,795 10.8 8,840 25,514 16,610 65.1 14,928 58.5 1,682 10.1 8,903 25,552 16,570 64.8 14,816 58.0 1,754 10.6 8,982 25,591 16,390 64.0 14,763 57.7 1,627 9.9 9,201 25,633 16,541 64.5 14,907 58.2 1,634 9.9 9,092 25,675 16,789 65.4 15,148 59.0 1,641 9.8 8,886 25,717 16,682 64.9 15,027 58.4 1,656 9.9 9,034 25,751 16,540 64.2 14,754 57.3 1,786 10.8 9,211 25,784 16,706 64.8 14,827 57.5 1,879 11.2 9,078 25,484 16,374 64.3 14,684 57.6 1,690 10.3 9,110 25,519 16,395 64.2 14,669 57.5 1,726 10.5 9,124 7,283 72.0 6,653 65.8 630 8.7 7,363 72.7 6,668 65.8 695 9.4 7,349 72.4 6,679 65.8 670 9.1 7,402 72.8 6,755 66.4 647 8.7 7,369 72.4 6,613 64.9 756 10.3 7,312 71.7 6,636 65.0 676 9.2 7,344 71.8 6,672 65.3 671 9.1 7,466 72.9 6,762 66.0 704 9.4 7,413 72.2 6,682 65.1 731 9.9 7,250 70.5 6,480 63.0 770 10.6 7,311 71.0 6,543 63.6 768 10.5 7,233 71.0 6,489 63.7 744 10.3 7,296 71.5 6,560 64.3 736 10.1 8,289 64.3 7,580 58.8 709 8.6 8,208 63.6 7,474 57.9 733 8.9 8,360 64.7 7,562 58.5 798 9.5 8,326 64.4 7,555 58.4 771 9.3 8,307 64.1 7,578 58.5 729 8.8 8,278 63.8 7,544 58.2 734 8.9 8,348 64.3 7,641 58.8 707 8.5 8,422 64.7 7,737 59.5 685 8.1 8,390 64.4 7,676 58.9 715 8.5 8,442 64.7 7,685 58.9 757 9.0 8,540 65.4 7,712 59.0 827 9.7 8,327 64.4 7,629 59.0 698 8.4 8,296 64.1 7,548 58.3 748 9.0 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 BLACK OR AFRICAN AMERICAN 1 Civilian noninstitutional population 2 ... Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Not in labor force Men, 20 years and over Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Women, 20 years and over Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate (Numbers in thousands) Employment status, race, sex, age, ana Hispanic or Latino ethnicity 2002 Feb. Mar. Apr. May June July 2003 Aug. Sept. Oct. Nov. Dec. Jan. Feb. BLACK OR AFRICAN AMERICAN-Continued 1 Both sexes, 16 to 19 years Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 901 37.4 643 26.7 258 28.7 883 36.6 603 25.0 280 31.7 928 38.5 602 25.0 326 35.2 882 36.5 618 25.6 264 29.9 894 37.0 625 25.9 269 30.1 800 33.1 583 24.1 217 27.1 849 35.1 593 24.5 256 30.1 901 37.2 649 26.8 252 28.0 879 36.3 669 27.6 210 23.9 849 35.0 590 24.3 259 30.5 855 35.2 571 23.5 284 33.2 813 34.4 566 23.9 247 30.4 803 33.9 560 23.7 242 30.2 25,574 17,773 69.5 16,522 64.6 1,251 7.0 7,801 25,655 17,697 69.0 16,405 63.9 1,292 7.3 7,959 25,739 17,913 69.6 16,498 64.1 1,415 7.9 7,827 25,827 17,843 69.1 16,581 64.2 1,261 7.1 7,984 25,917 17,891 69.0 16,573 63.9 1,318 7.4 8,026 26,008 18,045 69.4 16,685 64.2 1,360 7.5 7,963 26,096 18,030 69.1 16,664 63.9 1,366 7.6 8,066 26,184 18,103 69.1 16,739 63.9 1,363 7.5 8,082 26,272 18,049 68.7 16,637 63.3 1,412 7.8 8,223 26,355 18,169 68.9 16,755 63.6 1,414 7.8 8,186 26,436 18,134 68.6 16,708 63.2 1,425 7.9 8,303 26,994 18,614 69.0 17,155 63.5 1,459 7.8 8,380 27,095 18,658 68.9 17,223 63.6 1,436 7.7 8,436 HISPANIC OR LATINO ETHNICITY Civilian noninstitutional population 2 ... Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Not in labor force 1 Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as the main race. For more information, see the "Explanatory Notes and Estimates of Error" section of this publication. 2 The population figures are not adjusted for seasonal variation. NOTE: Estimates for the above race groups (white and black or African American) do not sum to totals because data are not presented for all races. In addition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning in January 2003, data reflect revised population controls used in the household survey. (Numbers in thousands) 2002 2003 Educational attainment Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. Less than a high school diploma Civilian labor force Participation rate Employed Employment-population ratio Unemployed Unemployment rate 12,703 12,672 12,834 12,752 12,778 12,449 12,392 12,381 12,461 12,541 12,607 12,542 12,638 44.9 44.1 44.2 44.0 44.9 44.6 43.7 44.0 44.5 44.6 44.6 44.9 44.9 11,654 11,650 11,704 11,674 11,757 11,377 11,335 11,404 11,375 11,417 11,470 11,471 11,522 40.7 41.1 41.2 40.5 40.6 40.5 40.3 40.3 40.8 40.9 40.9 40.0 40.9 977 1,086 1,124 1,136 1,071 1,116 1,049 1,023 1,131 1,077 1,022 1,072 1,057 8.4 8.0 7.9 8.7 9.0 8.3 8.8 8.6 8.5 9.0 8.5 8.8 8.1 High school graduates, no college 1 Civilian labor force Participation rate Employed Employment-population ratio Unemployed Unemployment rate 37,834 37,430 37,492 37,566 37,579 37,864 37,949 38,198 37,966 37,967 37,797 37,856 37,816 64.4 64.4 64.4 64.2 64.5 63.9 64.9 64.3 63.6 63.7 64.0 63.5 63.5 35,863 35,426 35,417 35,509 35,507 35,921 35,987 36,286 36,090 35,963 35,775 35,923 35,779 60.4 61.2 60.9 61.6 61.0 60.2 60.2 60.2 60.9 60.8 60.9 60.9 60.2 1,970 2,004 2,075 2,057 2,072 1,942 1,962 1,912 1,876 2,004 2,021 1,933 2,037 5.2 5.4 5.5 5.5 5.1 5.2 5.0 5.5 4.9 5.3 5.3 5.1 5.4 Less than a bachelor's degree 2 Civilian labor force Participation rate Employed Employment-population ratio Unemployed Unemployment rate 33,433 33,405 33,408 33,404 33,445 33,571 33,594 33,818 33,884 33,890 33,831 34,186 34,335 72.4 72.7 73.6 72.5 73.5 73.1 73.8 74.0 72.9 72.8 72.7 73.3 73.2 32,022 31,964 31,878 31,830 31,913 32,087 32,135 32,266 32,299 32,260 32,154 32,556 32,730 70.4 70.2 69.7 70.5 69.7 69.4 70.0 69.3 70.1 69.2 68.8 69.8 69.8 1,411 1,441 1,530 1,574 1,531 1,485 1,459 1,552 1,585 1,630 1,677 1,630 1,605 4.7 4.2 4.3 4.7 4.6 4.4 4.6 5.0 4.8 4.3 4.8 4.7 4.6 Bachelor's degree and higher 3 Civilian labor force Participation rate Employed Employment-population ratio Unemployed Unemployment rate 1 2 3 38,256 38,420 38,809 38,818 38,695 38,490 38,664 38,664 38,622 38,476 38,652 38,778 39,046 78.4 79.2 78.2 78.9 78.8 78.4 77.5 79.2 78.1 78.5 79.0 78.8 78.2 37,167 37,336 37,660 37,657 37,549 37,348 37,578 37,536 37,458 37,344 37,530 37,626 37,892 76.7 77.0 76.1 75.2 76.5 76.1 75.9 76.4 75.9 76.1 76.9 76.6 75.9 1,090 1,084 1,149 1,161 1,146 1,142 1,086 1,128 1,165 1,132 1,121 1,152 1,154 2.8 3.0 2.8 3.0 3.0 3.0 2.8 2.9 3.0 2.9 3.0 2.9 3.0 Includes high school diploma or equivalent. Includes the categories, some college, no degree; and associate degree. Includes persons with bachelor's, master's, professional, and doctoral degrees. NOTE: Beginning in January 2003, data reflect revised population controls used in the household survey. (Numbers in thousands) Full- and part-time status, sex, and age 2002 Feb. Mar. Apr. May June July 2003 Aug. Sept. Oct. Nov. Dec. Jan. Feb. 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 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 112,804 112,586 112,336 112,398 112,270 112,327 112,740 113,375 113,458 112,828 112,856 112,823 113,442 65,161 65,143 65,089 65,200 65,109 65,019 65,213 65,423 65,593 65,235 65,145 65,057 65,397 63,960 63,873 63,822 63,925 63,915 63,923 64,074 64,388 64,341 64,006 63,947 64,035 64,333 47,606 47,467 47,265 47,232 47,121 47,239 47,504 47,825 47,839 47,660 47,763 47,875 48,076 46,763 46,578 46,410 46,402 46,357 46,424 46,711 46,940 47,004 46,908 47,023 47,088 47,300 2,081 2,135 2,105 2,071 1,998 1,954 1,981 2,047 2,113 1,914 1,886 1,809 1,700 23,558 7,635 5,613 15,924 13,623 4,322 23,510 7,588 5,636 15,941 13,576 4,298 23,804 7,708 5,774 16,135 13,818 4,212 24,107 7,880 6,041 16,157 13,854 4,211 24,192 7,820 5,850 16,354 13,981 4,361 24,235 7,932 5,908 16,313 13,906 4,420 24,133 7,803 5,803 16,295 13,903 4,427 23,901 7,767 5,776 16,141 13,773 4,352 23,635 7,606 5,627 16,062 13,708 4,300 23,765 7,627 5,649 16,132 13,845 4,272 23,629 7,616 5,682 16,006 13,683 4,265 24,400 7,931 5,868 16,481 14,173 4,359 23,830 7,849 5,929 15,988 13,720 4,181 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 6,877 3,867 3,456 3,029 2,724 697 6,929 3,966 3,524 2,963 2,691 715 7,298 4,164 3,671 3,209 2,915 712 7,023 3,945 3,560 3,072 2,791 671 7,180 4,024 3,705 3,078 2,795 681 7,073 3,896 3,604 3,073 2,805 665 6,986 3,997 3,641 2,964 2,679 665 6,990 4,078 3,691 2,923 2,685 614 7,099 4,056 3,708 3,061 2,816 576 7,317 4,289 3,906 3,039 2,761 650 7,348 4,267 3,885 3,114 2,804 659 6,940 4,129 3,732 2,836 2,583 625 7,075 4,133 3,706 2,979 2,725 643 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 1,232 539 247 686 443 542 1,298 566 256 730 466 576 1,288 536 214 768 487 587 1,389 606 283 755 488 619 1,283 576 240 706 444 600 1,376 662 285 742 471 621 1,389 619 264 773 515 610 1,336 579 248 753 486 602 1,305 542 254 766 486 565 1,281 543 216 754 455 609 1,331 538 257 800 513 562 1,380 579 292 797 471 617 1,396 590 270 795 515 611 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 5.7 5.6 5.1 6.0 5.5 25.1 5.8 5.7 5.2 5.9 5.5 25.1 6.1 6.0 5.4 6.4 5.9 25.3 5.9 5.7 5.3 6.1 5.7 24.5 6.0 5.8 5.5 6.1 5.7 25.4 5.9 5.7 5.3 6.1 5.7 25.1 5.8 5.8 5.4 5.9 5.4 25.4 5.8 5.9 5.4 5.8 5.4 23.1 5.9 5.8 5.4 6.0 5.7 21.4 6.1 6.2 5.8 6.0 5.6 25.4 6.1 6.1 5.7 6.1 5.6 25.9 5.8 6.0 5.5 5.6 5.2 26.9 5.9 5.9 5.4 5.8 5.4 26.2 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 6.6 4.2 4.1 3.2 11.1 5.2 6.9 4.3 4.4 3.3 11.8 5.1 6.5 3.6 4.5 3.4 12.2 5.4 7.1 4.5 4.5 3.4 12.8 5.0 6.9 3.9 4.1 3.1 12.1 5.4 7.7 4.6 4.4 3.3 12.3 5.4 7.3 4.3 4.5 3.6 12.1 5.3 6.9 4.1 4.5 3.4 12.1 5.2 6.7 4.3 4.5 3.4 11.6 5.1 6.6 3.7 4.5 3.2 12.5 5.3 6.6 4.3 4.8 3.6 11.6 5.4 6.8 4.7 4.6 3.2 12.4 5.5 7.0 4.4 4.7 3.6 12.7 UNEMPLOYED UNEMPLOYMENT RATES NOTE: Detail for the data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Beginning in January 2003, data reflect revised population controls used in the household survey. (In thousands) 2002 2003 Category Feb. Mar. Apr. 2,349 1,282 1,022 2,342 1,277 1,033 2,342 1,312 994 May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. 2,239 1,254 959 2,177 1,242 955 2,321 1,355 959 2,169 1,201 959 2,315 1,310 974 2,483 1,394 1,040 2,314 1,219 1,060 2,342 1,260 1,038 2,314 1,195 1,071 2,178 1,174 953 CLASS OF WORKER Agriculture and related industries Wage and salary workers Self-employed workers Nonagricultural industries Wage and salary workers Private industries Industries except private households Government Self-employed workers 134,161 133,760 133,948 134,324 134,103 134,094 134,552 134,979 134,537 134,206 134,080 135,142 135,317 (1) (1) ( 1 (3> ) 1 (O ) (1) (1) O (1) (1) 1 (O ) O (1) O (1) O (1) O (1) (1) (1) (1) (1) (1) (1) (1) (1) (1) (1) (1) (1) (1) All industries: Part time for economic reasons Slack work or business conditions Could only find part-time work Part time for noneconomic reasons 4,289 2,818 1,122 18,582 4,132 2,744 1,075 18,711 4,210 2,752 1,140 18,933 4,097 2,685 1,110 18,988 3,982 2,703 1,097 19,251 4,139 2,760 1,113 19,143 4,308 2,881 1,153 19,047 4,356 2,814 1,177 18,928 4,343 2,888 1,133 18,685 4,329 2,855 1,159 18,727 4,273 2,893 1,110 18,555 4,643 3,027 1,297 19,314 4,807 3,152 1,275 18,421 Nonagricultural industries: Part time for economic reasons Slack work or business conditions Could only find part-time work Part time for noneconomic reasons 4,166 2,730 1,114 18,181 4,050 2,686 1,059 18,359 4,132 2,690 1,129 18,560 3,983 2,611 1,087 18,636 3,887 2,629 1,099 18,985 4,025 2,689 1,103 18,741 4,185 2,806 1,143 18,668 4,266 2,755 1,172 18,555 4,274 2,857 1,122 18,347 4,272 2,816 1,158 18,361 4,219 2,854 1,097 18,197 4,496 2,947 1,267 18,984 4,675 3,062 1,257 18,134 <]> 104,966 104,887 104,749 104,764 104,605 104,533 104,910 105,259 104,947 104,365 104,673 105,192 105,773 19,476 19,449 19,552 19,896 19,791 19,743 19,778 19,746 19,692 19,647 19,551 19,868 19,418 PERSONS AT WORK PART TIME 2 1 Data not currently available due to an editing error when reconstructing revised series. 2 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: Detail for the data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Industries reflect the introduction of the 2002 Census industry classification system derived from the North American Industry Classification System into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey. (In thousands) 2002 2003 Age, sex, and marital status Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. AGE AND SEX 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 25 to 34 years 35 to 44 years 45 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 years and over 20 to 24 years 25 years and over 25 to 54 years 25 to 34 years 35 to 44 years 45 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 years and over 20 to 24 years 25 years and over 25 to 54 years 25 to 34 years 35 to 44 years 45 to 54 years 55 years and over 136,450 136,143 136,196 136,487 136,383 136,343 136,757 137,312 136,988 136,542 136,439 137,536 137,408 6,324 6,164 6,418 6,464 6,331 6,307 6,425 6,042 6,125 6,289 6,280 6,400 6,228 2,321 2,375 2,451 2,328 2,358 2,347 2,446 2,330 2,260 2,338 2,256 2,258 2,352 3,921 3,694 4,067 3,722 3,996 4,003 3,968 3,959 4,016 4,001 4,060 4,045 3,960 130,031 129,679 129,864 130,180 130,059 130,054 130,476 130,888 130,589 130,314 130,275 131,410 131,365 13,351 13,230 13,256 13,509 13,346 13,361 13,484 13,432 13,303 13,387 13,372 13,568 13,510 116,751 116,384 116,573 116,684 116,697 116,713 117,099 117,406 117,271 116,856 116,892 117,876 117,932 97,173 96,966 96,907 96,857 96,768 96,639 96,959 97,025 96,840 96,356 96,491 96,957 96,942 30,306 30,361 30,363 30,343 30,416 30,412 30,365 30,365 30,323 29,961 30,139 30,369 30,563 35,651 35,429 35,368 35,377 35,219 35,010 35,168 35,160 35,005 34,973 34,942 35,125 34,803 31,215 31,176 31,176 31,137 31,133 31,217 31,425 31,500 31,512 31,422 31,411 31,463 31,577 19,578 19,419 19,666 19,827 19,929 20,074 20,140 20,381 20,430 20,499 20,400 20,918 20,990 72,821 72,719 72,780 73,093 72,893 72,931 73,023 73,402 73,151 72,773 72,690 72,994 73,249 3,230 1,118 2,124 69,591 6,902 62,749 52,154 16,615 19,120 16,419 10,595 3,202 1,144 2,053 69,517 6,912 62,574 52,039 16,599 19,042 16,399 10,534 3,152 1,148 2,009 69,627 6,952 62,680 51,977 16,597 19,013 16,367 10,702 3,174 1,137 2,028 69,918 7,071 62,852 52,038 16,604 19,079 16,355 10,814 3,154 1,147 2,007 69,739 6,980 62,758 51,909 16,557 18,979 16,373 10,849 3,140 1,139 2,007 69,792 6,994 62,807 51,888 16,607 18,755 16,525 10,919 3,127 1,101 2,025 69,895 6,987 62,957 52,019 16,641 18,892 16,486 10,937 3,189 1,134 2,055 70,213 7,050 63,077 52,066 16,614 18,953 16,499 11,012 3,230 1,142 2,081 69,921 6,975 62,938 51,873 16,569 18,804 16,500 11,065 3,156 1,113 2,040 69,617 7,014 62,562 51,569 16,384 18,748 16,437 10,993 3,091 1,102 1,986 69,600 7,024 62,579 51,566 16,445 18,749 16,371 11,013 3,027 1,203 1,838 69,967 7,183 62,814 51,687 16,528 18,824 16,334 11,127 2,956 1,157 1,820 70,293 7,215 63,151 51,925 16,730 18,729 16,466 11,227 63,629 63,423 63,416 63,394 63,490 63,412 63,734 63,910 63,837 63,769 63,749 64,542 64,159 3,188 1,257 1,943 60,441 6,449 54,002 45,019 13,691 16,532 14,796 8,984 3,262 1,307 1,963 60,161 6,318 53,811 44,926 13,762 16,388 14,777 8,885 3,179 1,182 1,988 60,237 6,303 53,894 44,930 13,766 16,354 14,809 8,964 3,132 1,123 1,975 60,262 6,438 53,833 44,819 13,739 16,298 14,782 9,013 3,170 1,181 1,994 60,320 6,366 53,939 44,859 13,859 16,240 14,760 9,080 3,149 1,200 1,961 60,262 6,368 53,906 44,751 13,805 16,255 14,692 9,155 3,153 1,220 1,933 60,581 6,497 54,142 44,940 13,725 16,276 14,939 9,202 3,235 1,224 2,005 60,675 6,382 54,328 44,959 13,751 16,207 15,001 9,369 3,169 1,204 1,964 60,668 6,328 54,332 44,967 13,754 16,201 15,012 9,365 3,072 1,143 1,921 60,697 6,373 54,293 44,787 13,577 16,225 14,985 9,506 3,073 1,156 1,935 60,676 6,348 54,313 44,926 13,693 16,193 15,039 9,387 3,098 1,243 1,856 61,443 6,385 55,062 45,270 13,841 16,301 15,129 9,792 3,086 1,195 1,902 61,073 6,295 54,781 45,018 13,834 16,073 15,111 9,763 44,210 34,291 44,190 34,074 44,021 34,052 44,306 34,015 44,037 34,050 44,150 34,035 44,235 34,278 44,129 34,479 44,245 34,322 44,093 34,264 44,005 34,189 44,401 34,525 44,587 34,620 MARITAL STATUS Married men, spouse present Married women, spouse present NOTE: Detail for the data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Beginning in January 2003, data reflect revised population controls used in the household survey. (In thousands) 2002 2003 Age, sex, and marital status Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. 8,060 8,224 8,567 8,424 8,469 8,443 8,366 8,321 8,405 8,637 8,711 8,302 8,450 1,219 488 698 6,841 1,401 5,463 4,700 1,817 1,630 1,253 759 1,282 541 717 6,942 1,481 5,460 4,758 1,845 1,643 1,269 703 1,290 563 733 7,277 1,456 5,898 4,970 1,939 1,712 1,319 819 1,287 578 720 7,137 1,356 5,832 4,998 1,886 1,729 1,383 845 1,283 568 723 7,186 1,387 5,852 5,013 1,947 1,619 1,447 855 1,292 572 728 7,151 1,415 5,707 4,913 1,854 1,686 1,373 795 1,280 555 764 7,086 1,428 5,676 4,803 1,908 1,612 1,283 828 1,243 568 663 7,079 1,433 5,632 4,797 1,853 1,677 1,267 819 1,135 453 674 7,269 1,502 5,768 4,942 1,859 1,787 1,296 823 1,261 542 715 7,377 1,455 5,884 5,141 1,967 1,818 1,356 778 1,206 481 718 7,505 1,444 5,924 5,084 1,980 1,747 1,356 892 1,241 546 697 7,061 1,392 5,675 4,833 1,921 1,657 1,256 890 1,251 514 702 7,199 1,390 5,828 5,011 1,809 1,905 1,296 822 4,355 4,521 4,607 4,583 4,673 4,610 4,654 4,610 4,575 4,845 4,801 4,699 4,678 676 285 385 3,678 779 2,911 2,465 938 841 686 446 731 303 409 3,789 842 2,947 2,557 1,005 853 699 390 709 291 417 3,898 801 3,110 2,636 1,033 882 721 474 735 342 397 3,848 753 3,144 2,642 995 879 768 501 723 323 400 3,950 743 3,236 2,734 1,128 845 761 502 731 324 400 3,879 755 3,106 2,646 1,016 913 717 460 748 331 446 3,906 802 3,097 2,628 1,019 878 730 469 716 310 401 3,895 827 3,062 2,592 1,000 887 705 470 613 237 372 3,962 813 3,153 2,695 1,023 966 706 459 692 300 392 4,153 797 3,329 2,875 1,110 1,010 755 454 657 251 398 4,145 796 3,309 2,803 1,067 939 797 505 673 287 392 4,026 775 3,256 2,748 1,091 932 725 507 716 273 436 3,962 731 3,238 2,749 969 997 784 488 3,706 3,704 3,960 3,841 3,796 3,832 3,712 3,711 3,829 3,792 3,909 3,603 3,772 543 203 313 3,163 622 2,551 2,235 879 789 567 551 238 309 3,153 639 2,513 2,201 840 790 571 581 272 316 3,379 655 2,788 2,335 906 831 598 552 236 323 3,289 603 2,689 2,356 891 850 615 560 245 323 3,236 644 2,616 2,279 820 773 686 560 247 328 3,272 660 2,602 2,266 839 773 655 532 223 318 3,180 626 2,579 2,175 889 734 552 527 258 262 3,184 606 2,570 2,205 853 790 562 522 216 302 3,308 689 2,614 2,247 836 821 590 569 242 323 3,224 658 2,555 2,265 857 808 600 549 231 319 3,360 648 2,615 2,280 913 808 559 567 259 304 3,035 617 2,420 2,085 830 725 531 534 241 266 3,237 658 2,590 2,261 840 908 513 1,564 1,342 1,584 1,312 1,774 1,362 1,653 1,374 1,831 1,345 1,620 1,331 1,618 1,291 1,652 1,300 1,630 1,342 1,667 1,343 1,706 1,348 1,622 1,176 1,667 1,282 AGE AND SEX 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 25 to 34 years 35 to 44 years 45 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 years and over 20 to 24 years 25 years and over 25 to 54 years 25 to 34 years 35 to 44 years 45 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 years and over 20 to 24 years 25 years and over 25 to 54 years 25 to 34 years 35 to 44 years 45 to 54 years MARITAL STATUS Married men, spouse present Married women, spouse present NOTE: Detail for the data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Beginning in January 2003, data reflect revised population controls used in the household survey. (Percent) 2002 2003 Age, sex, ana marital status Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. AGE AND SEX 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 25 to 34 years 35 to 44 years 45 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 years and over 20 to 24 years 25 years and over 25 to 54 years 25 to 34 years 35 to 44 years 45 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 years and over 20 to 24 years 25 years and over 25 to 54 years 25 to 34 years 35 to 44 years 45 to 54 years 5.6 5.7 5.9 5.8 5.8 5.8 5.8 5.7 5.8 5.9 6.0 5.7 5.8 16.0 17.1 14.7 5.0 9.5 4.5 4.6 5.7 4.4 3.9 3.7 16.6 18.1 15.2 5.1 10.1 4.5 4.7 5.7 4.4 3.9 3.5 16.9 19.5 15.5 5.3 9.9 4.8 4.9 6.0 4.6 4.1 4.0 17.0 20.4 15.3 5.2 9.1 4.8 4.9 5.9 4.7 4.3 4.1 16.9 19.6 15.3 5.2 9.4 4.8 4.9 6.0 4.4 4.4 4.1 17.0 19.7 15.5 5.2 9.6 4.7 4.8 5.7 4.6 4.2 3.8 16.9 19.3 16.2 5.2 9.6 4.6 4.7 5.9 4.4 3.9 4.0 16.2 19.4 14.0 5.1 9.6 4.6 4.7 5.8 4.6 3.9 3.9 15.1 16.2 14.3 5.3 10.1 4.7 4.9 5.8 4.9 4.0 3.9 16.8 19.4 15.3 5.4 9.8 4.8 5.1 6.2 4.9 4.1 3.7 16.4 17.6 15.5 5.4 9.7 4.8 5.0 6.2 4.8 4.1 4.2 16.8 18.3 15.9 5.1 9.3 4.6 4.7 5.9 4.5 3.8 4.1 17.1 17.9 15.9 5.2 9.3 4.7 4.9 5.6 5.2 3.9 3.8 5.6 5.9 6.0 5.9 6.0 5.9 6.0 5.9 5.9 6.2 6.2 6.0 6.0 17.3 20.3 15.3 5.0 10.1 4.4 4.5 5.3 4.2 4.0 4.0 18.6 20.9 16.6 5.2 10.9 4.5 4.7 5.7 4.3 4.1 3.6 18.4 20.2 17.2 5.3 10.3 4.7 4.8 5.9 4.4 4.2 4.2 18.8 23.1 16.4 5.2 9.6 4.8 4.8 5.7 4.4 4.5 4.4 18.6 22.0 16.6 5.4 9.6 4.9 5.0 6.4 4.3 4.4 4.4 18.9 22.2 16.6 5.3 9.7 4.7 4.9 5.8 4.6 4.2 4.0 19.3 23.1 18.1 5.3 10.3 4.7 4.8 5.8 4.4 4.2 4.1 18.3 21.5 16.3 5.3 10.5 4.6 4.7 5.7 4.5 4.1 4.1 16.0 17.2 15.2 5.4 10.4 4.8 4.9 5.8 4.9 4.1 4.0 18.0 21.2 16.1 5.6 10.2 5.1 5.3 6.3 5.1 4.4 4.0 17.5 18.5 16.7 5.6 10.2 5.0 5.2 6.1 4.8 4.6 4.4 18.2 19.3 17.6 5.4 9.7 4.9 5.0 6.2 4.7 4.2 4.4 19.5 19.1 19.3 5.3 9.2 4.9 5.0 5.5 5.1 4.5 4.2 5.5 5.5 5.9 5.7 5.6 5.7 5.5 5.5 5.7 5.6 5.8 5.3 5.6 14.6 13.9 13.9 5.0 8.8 4.5 4.7 6.0 4.6 3.7 14.4 15.4 13.6 5.0 9.2 4.5 4.7 5.8 4.6 3.7 15.5 18.7 13.7 5.3 9.4 4.9 4.9 6.2 4.8 3.9 15.0 17.4 14.1 5.2 8.6 4.8 5.0 6.1 5.0 4.0 15.0 17.2 14.0 5.1 9.2 4.6 4.8 5.6 4.5 4.4 15.1 17.1 14.3 5.1 9.4 4.6 4.8 5.7 4.5 4.3 14.4 15.5 14.1 5.0 8.8 4.5 4.6 6.1 4.3 3.6 14.0 17.4 11.5 5.0 8.7 4.5 4.7 5.8 4.6 3.6 14.1 15.2 13.3 5.2 9.8 4.6 4.8 5.7 4.8 3.8 15.6 17.4 14.4 5.0 9.4 4.5 4.8 5.9 4.7 3.9 15.2 16.6 14.2 5.2 9.3 4.6 4.8 6.3 4.8 3.6 15.5 17.3 14.1 4.7 8.8 4.2 4.4 5.7 4.3 3.4 14.8 16.8 12.3 5.0 9.5 4.5 4.8 5.7 5.3 3.3 3.4 3.8 3.5 3.7 3.9 3.8 3.6 3.9 4.0 3.8 3.5 3.8 3.5 3.6 3.6 3.6 3.6 3.8 3.6 3.8 3.7 3.8 3.5 3.3 3.6 3.6 MARITAL STATUS Married men, spouse present Married women, spouse present NOTE: Beginning in January 2003, data reflect revised population controls used in the household survey. (Numbers in thousands) 2002 2003 Reason Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. Job losers and persons who completed temporary jobs .. 4,425 1,133 On temporary layoff 3,293 Not on temporary layoff 880 Job leavers 2,294 Reentrants 499 New entrants 4,339 1,102 3,237 876 2,438 539 4,599 1,121 3,478 1,002 2,412 530 4,634 1,114 3,520 892 2,400 503 4,650 1,101 3,550 844 2,379 544 4,613 1,236 3,377 840 2,390 547 4,607 1,158 3,449 844 2,326 587 4,608 1,044 3,565 808 2,321 542 4,828 1,098 3,729 850 2,386 494 4,833 1,069 3,764 834 2,394 586 4,863 1,110 3,753 862 2,462 534 4,583 1,080 3,503 825 2,331 616 4,756 1,142 3,614 772 2,395 579 100.0 54.6 14.0 40.7 10.9 28.3 6.2 100.0 53.0 13.5 39.5 10.7 29.8 6.6 100.0 53.8 13.1 40.7 11.7 28.2 6.2 100.0 55.0 13.2 41.8 10.6 28.5 6.0 100.0 55.2 13.1 42.2 10.0 28.3 6.5 100.0 55.0 14.7 40.2 10.0 28.5 6.5 100.0 55.1 13.8 41.2 10.1 27.8 7.0 100.0 55.7 12.6 43.1 9.8 28.0 6.5 100.0 56.4 12.8 43.6 9.9 27.9 5.8 100.0 55.9 12.4 43.5 9.6 27.7 6.8 100.0 55.8 12.7 43.0 9.9 28.2 6.1 100.0 54.9 12.9 41.9 9.9 27.9 7.4 100.0 55.9 13.4 42.5 9.1 28.2 6.8 3.1 .6 1.6 .3 3.0 .6 1.7 .4 3.2 .7 1.7 .4 3.2 .6 1.7 .3 3.2 .6 1.6 .4 3.2 .6 1.7 .4 3.2 .6 1.6 .4 3.2 .6 1.6 .4 3.3 .6 1.6 .3 3.3 .6 1.6 .4 3.4 .6 1.7 .4 3.1 .6 1.6 .4 3.3 .5 1.6 .4 NUMBER OF UNEMPLOYED PERCENT DISTRIBUTION Total unemployed 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: Beginning in January 2003, data reflect revised population controls used in the household survey. A-12. Unemployed persons by duration of unemployment, seasonally adjusted (Numbers in thousands) 2002 2003 Duration Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. Feb. 2,932 2,540 2,609 1,403 1,206 3,041 2,489 2,685 1,366 1,319 2,934 2,851 2,810 1,364 1,446 2,900 2,566 2,911 1,328 1,583 2,786 2,803 3,045 1,419 1,626 2,903 2,520 2,955 1,381 1,573 2,895 2,505 2,891 1,361 1,530 2,782 2,558 3,019 1,359 1,660 2,797 2,515 3,099 1,374 1,724 2,912 2,532 3,143 1,317 1,826 2,860 2,547 3,296 1,392 1,904 2,772 2,577 3,140 1,457 1,683 2,749 2,565 3,155 1,281 1,874 15.0 8.2 15.4 8.3 16.3 8.8 16.8 9.6 17.1 11.6 16.6 8.9 16.3 8.7 17.8 9.5 17.6 9.6 17.9 9.4 18.4 9.6 18.4 9.8 18.6 9.4 100.0 36.3 31.4 32.3 17.4 14.9 100.0 37.0 30.3 32.7 16.6 16.1 100.0 34.1 33.2 32.7 15.9 16.8 100.0 34.6 30.6 34.7 15.8 18.9 100.0 32.3 32.5 35.3 16.4 18.8 100.0 34.6 30.1 35.3 16.5 18.8 100.0 34.9 30.2 34.9 16.4 18.5 100.0 33.3 30.6 36.1 16.3 19.9 100.0 33.2 29.9 36.8 16.3 20.5 100.0 33.9 29.5 36.6 15.3 21.3 100.0 32.9 29.3 37.9 16.0 21.9 100.0 32.6 30.4 37.0 17.2 19.8 100.0 32.5 30.3 37.3 15.1 22.1 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 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 2003, data reflect revised population controls used in the household survey. February 2003 Civilian labor force Age, sex, and race Civilian noninstitutional population Unemployed Employed Total Percent of population Total Percent of population Number Percent of labor force TOTAL 220,114 16,030 8,470 7,559 19,711 123,006 38,936 18,490 20,445 43,839 21,181 22,658 40,231 21,426 18,806 27,252 15,355 11,897 34,115 9,543 8,501 16,071 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 145,693 6,866 2,602 4,264 14,755 102,243 32,338 15,222 17,116 36,852 17,730 19,122 33,052 17,954 15,098 17,045 10,907 6,138 4,785 2,649 1,230 906 66.2 42.8 30.7 56.4 74.9 83.1 83.1 82.3 83.7 84.1 83.7 84.4 82.2 83.8 80.3 62.5 71.0 51.6 14.0 27.8 14.5 5.6 136,433 5,637 2,103 3,533 13,243 96,644 30,317 14,190 16,127 34,769 16,665 18,104 31,558 17,137 14,421 16,342 10,492 5,849 4,567 2,504 1,186 878 62.0 35.2 24.8 46.7 67.2 78.6 77.9 76.7 78.9 79.3 78.7 79.9 78.4 72,237 2,719 1,016 1,702 7,003 51,411 16,489 7,667 68.2 80.0 76.7 60.0 68.3 49.2 13.4 26.2 13.9 5.5 9,260 1,229 498 731 1,511 5,599 2,022 1,032 990 2,083 1,065 1,018 1,494 817 677 704 415 289 217 145 44 28 6.4 17.9 19.2 17.1 10.2 5.5 6.3 6.8 5.8 5.7 6.0 5.3 4.5 4.6 4.5 4.1 3.8 4.7 4.5 5.5 3.6 3.1 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 105,895 8,133 4,321 3,811 9,829 60,439 19,297 9,189 10,108 21,504 10,398 11,106 19,639 10,483 9,156 13,076 7,422 5,653 14,418 4,407 3,806 6,205 77,658 3,452 1,280 2,172 7,853 54,665 17,638 8,246 9,393 19,753 9,632 10,121 17,274 9,381 7,893 8,991 5,728 3,263 2,697 1,503 683 510 73.3 42.4 29.6 57.0 79.9 90.4 91.4 89.7 92.9 91.9 92.6 91.1 88.0 89.5 86.2 68.8 77.2 57.7 18.7 34.1 18.0 8.2 8,822 18,584 9,054 9,530 16,338 8,858 7,480 8,550 5,463 3,087 2,554 1,402 656 496 33.4 23.5 44.7 71.2 85.1 85.4 83.4 87.3 86.4 87.1 85.8 83.2 84.5 81.7 65.4 73.6 54.6 17.7 31.8 17.2 8.0 5,421 733 264 470 850 3,254 1,149 579 570 1,169 578 591 936 522 413 441 265 176 143 102 27 14 7.0 21.2 20.6 21.6 10.8 6.0 6.5 7.0 6.1 5.9 6.0 5.8 5.4 5.6 5.2 4.9 4.6 5.4 5.3 6.8 4.0 2.8 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 114,219 7,897 4,149 3,748 9,882 62,567 19,639 9,301 10,337 22,336 10,783 11,553 20,593 10,943 9,650 14,176 7,933 6,244 19,696 5,136 4,695 9,865 68,036 3,414 1,322 2,092 6,902 47,578 14,700 6,977 7,724 17,099 8,098 9,000 15,779 8,574 7,205 8,054 5,179 2,875 2,088 1,146 546 395 59.6 43.2 31.9 55.8 69.8 76.0 74.9 75.0 74.7 76.6 75.1 77.9 76.6 78.3 74.7 56.8 65.3 46.0 10.6 22.3 11.6 4.0 64,196 2,918 1,087 1,831 6,240 45,233 13,828 6,523 7,304 16,185 7,611 8,574 15,220 8,279 6,941 7,791 5,029 2,763 2,014 1,103 530 381 56.2 37.0 26.2 48.9 63.1 72.3 70.4 70.1 70.7 72.5 70.6 74.2 73.9 75.7 71.9 55.0 63.4 44.2 10.2 21.5 11.3 3.9 3,839 496 235 261 662 2,345 873 453 419 914 487 426 559 295 264 263 150 113 74 44 17 14 5.6 14.5 17.8 12.5 9.6 4.9 5.9 6.5 5.4 5.3 6.0 4.7 3.5 3.4 3.7 3.3 2.9 3.9 3.6 3.8 3.0 3.5 (Numbers in thousands) February 2003 Civilian labor force Age, sex, and race Civilian noninstitutional population Unemployed Employed Total rcent of ulation Total 120,128 5,709 2,197 3,511 12,003 83,463 25,884 12,234 13,650 29,906 14,227 15,679 27,673 14,965 12,708 14,738 9,456 5,282 4,216 2,307 1,114 795 66.5 45.7 33.4 59.4 77.6 83.9 84.2 84.1 84.3 84.3 83.7 84.9 83.2 84.9 81.3 63.5 72.1 52.3 14.1 28.2 15.1 5.5 113,376 4,780 1,803 2,977 10,949 79,426 24,461 11,518 12,942 28,430 13,478 14,953 26,535 14,357 12,178 14,187 9,131 5,057 4,035 2,189 1,074 772 Percent of population Number Percent of labor force Not in labor force WHITE 1 180,599 12,487 6,579 5,908 15,472 99,479 30,752 14,554 16,198 35,476 17,007 18,469 33,251 17,622 15,628 23,206 13,114 10,092 29,955 8,172 7,403 14,379 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 62.8 38.3 27.4 50.4 70.8 79.8 79.5 79.1 79.9 80.1 79.2 81.0 79.8 81.5 77.9 61.1 69.6 50.1 13.5 26.8 14.5 5.4 6,752 929 394 534 1,054 4,037 1,423 715 708 1,476 749 726 1,138 608 531 550 325 225 182 118 41 23 5.6 16.3 17.9 15.2 8.8 4.8 5.5 5.8 5.2 4.9 5.3 4.6 4.1 4.1 4.2 3.7 3.4 4.3 4.3 5.1 3.7 2.9 60,470 6,779 4,382 2,397 3,469 16,016 4,868 2,320 2,548 5,570 2,781 2,789 5,578 2,657 2,920 8,468 3,658 4,811 25,738 5,866 6,289 13,584 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 87,879 6,372 3,351 3,021 7,823 49,663 15,542 7,385 8,157 17,676 8,491 9,185 16,445 8,738 7,707 11,253 6,410 4,843 12,766 3,823 3,334 5,609 65,073 2,862 1,086 1,776 6,473 45,507 14,477 6,816 7,660 16,381 7,911 8,470 14,649 7,935 6,714 7,849 5,037 2,811 2,382 1,315 611 456 74.0 44.9 32.4 58.8 82.7 91.6 93.1 92.3 93.9 92.7 93.2 92.2 89.1 90.8 87.1 69.7 78.6 58.0 18.7 34.4 18.3 8.1 60,962 2,310 877 1,433 5,851 43,050 13,608 6,364 7,244 15,537 7,491 8,046 13,905 7,536 6,369 7,491 4,825 2,666 2,259 1,225 587 447 69.4 36.3 26.2 47.4 74.8 86.7 87.6 86.2 88.8 87.9 88.2 87.6 84.6 86.2 82.6 66.6 75.3 55.1 17.7 32.0 17.6 8.0 4,110 552 209 343 622 2,456 868 452 416 844 420 424 744 399 345 357 212 145 123 90 24 9 6.3 19.3 19.3 19.3 9.6 5.4 6.0 6.6 5.4 5.2 5.3 5.0 5.1 5.0 5.1 4.6 4.2 5.1 5.2 6.8 3.9 2.0 22,806 3,510 2,265 1,245 1,350 4,157 1,066 569 497 1,295 580 715 1,796 803 993 3,405 1,373 2,032 10,384 2,508 2,723 5,153 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 92,720 6,115 3,228 2,887 7,648 49,815 15,210 7,169 8,041 17,800 8,517 9,283 16,805 8,884 7,921 11,953 6,704 5,249 17,189 4,349 4,069 8,770 55,056 2,846 1,111 1,735 5,530 37,957 11,408 5.418 5,990 13,525 6,316 7,209 13,024 7,030 5,994 6,889 4.419 2,471 1,834 992 504 339 59.4 46.5 34.4 60.1 72.3 76.2 75.0 75.6 74.5 76.0 74.2 77.7 77.5 79.1 75.7 57.6 65.9 47.1 10.7 22.8 12.4 3.9 52,414 2,470 926 1,544 5,097 36,375 10,852 5,154 5,698 12,893 5,986 6,907 12,630 6,821 5,809 6,696 4,306 2,390 1,775 963 487 325 56.5 40.4 28.7 53.5 66.6 73.0 71.3 71.9 70.9 72.4 70.3 74.4 75.2 76.8 73.3 56.0 64.2 45.5 10.3 22.2 12.0 3.7 2,642 376 185 191 432 1,581 555 263 292 632 330 302 394 209 185 193 113 81 59 28 17 14 4.8 13.2 16.6 11.0 7.8 4.2 4.9 4.9 4.9 4.7 5.2 4.2 3.0 3.0 3.1 2.8 2.5 3.3 3.2 2.9 3.3 4.1 37,664 3,269 2,117 1,151 2,119 11,859 3,803 1,752 2,051 4,275 2,201 2,074 3,781 1,854 1,928 5,064 2,285 2,779 15,354 3,357 3,566 8,431 February 2003 Civilian labor force Age, sex, and race Civilian noninstitutional population Unemployed Employed Total Percent of population Total Percent of population Number Percent of labor force Not in labor force BLACK OR AFRICAN AMERICAN 1 25,519 2,365 1,301 1,063 2,757 14,930 4,960 2,395 2,565 5,396 2,649 2,747 4,574 2,500 2,074 2,639 1,485 1,154 2,829 890 735 1,203 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 16,294 736 261 475 1,813 11,933 3,941 1,840 2,101 4,556 2,287 2,269 3,436 1,917 1,519 1,463 924 540 349 192 85 71 63.8 31.1 20.1 44.6 65.7 79.9 79.5 76.8 81.9 84.4 86.4 82.6 75.1 76.7 73.2 55.4 62.2 46.7 12.3 21.6 11.6 5.9 14,491 510 182 328 1,483 10,810 3,501 1,594 1,906 4,100 2,061 2,039 3,209 1,783 1,426 1,362 863 499 328 178 84 66 56.8 21.6 14.0 30.8 53.8 72.4 70.6 66.6 74.3 76.0 77.8 74.2 70.2 71.3 68.7 51.6 58.1 43.2 11.6 20.0 11.4 5.5 1,803 226 79 147 330 1,124 441 246 195 456 226 230 226 133 93 101 61 41 21 15 2 5 11.1 30.7 30.4 30.9 18.2 9.4 11.2 13.4 9.3 10.0 9.9 10.1 6.6 6.9 6.1 6.9 6.6 7.6 6.0 7.6 2.0 2 ( ) 9,225 1,629 1,040 589 945 2,996 1,018 555 464 839 361 478 1,139 583 555 1,176 561 615 2,480 698 650 1,132 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 11,373 1,168 661 508 1,279 6,676 2,200 1,063 1,138 2,405 1,172 1,233 2,071 1,134 937 1,166 640 526 1,084 372 300 411 7,674 376 120 256 904 5,521 1,817 819 997 2,090 1,062 1,028 1,615 889 726 674 410 264 198 111 54 34 67.5 32.2 18.2 50.5 70.7 82.7 82.6 77.1 87.7 86.9 90.6 83.4 78.0 78.4 77.5 57.8 64.0 50.2 18.3 29.8 17.9 8.2 6,716 236 80 157 737 4,937 1,607 714 893 1,840 944 895 1,490 808 682 621 373 247 185 103 52 29 59.0 20.2 12.1 30.9 57.6 74.0 73.0 67.2 78.5 76.5 80.6 72.6 72.0 71.2 72.8 53.3 58.4 47.0 17.0 27.8 17.3 7.1 958 140 40 99 167 584 210 106 104 250 118 132 125 81 44 53 36 17 14 7 2 5 12.5 37.1 33.5 38.8 18.5 10.6 11.5 12.9 10.4 12.0 11.1 12.9 7.7 9.1 6.0 7.9 8.8 6.4 7.0 6.7 2 2) ) 3,699 792 541 251 375 1,154 383 243 140 315 110 205 456 245 211 492 230 262 886 262 247 377 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 14,146 1,196 640 556 1,478 8,254 2,760 1,332 1,427 2,991 1,476 1,514 2,504 1,366 1,137 1,474 845 628 1,745 518 435 792 8,620 360 141 219 909 6,412 2,125 1,021 1,104 2,466 1,225 1,241 1,821 1,028 793 790 514 275 150 82 32 37 60.9 30.1 22.1 39.3 61.5 77.7 77.0 76.6 77.3 82.5 83.0 82.0 72.7 75.2 69.7 53.6 60.8 43.8 8.6 15.7 7.3 4.7 7,776 273 102 171 746 5,873 1,893 880 1,013 2,260 1,117 1,143 1,719 976 744 741 490 251 143 74 32 37 55.0 22.8 15.9 30.8 50.4 71.2 68.6 66.1 71.0 75.6 75.6 75.5 68.7 71.4 65.4 50.3 57.9 40.0 8.2 14.4 7.3 4.7 845 87 39 47 163 539 231 141 90 206 109 98 102 52 50 48 24 24 7 7 - — 9.8 24.1 27.8 21.6 18.0 8.4 10.9 13.8 8.2 8.4 8.9 7.9 5.6 5.1 6.3 6.1 4.8 8.7 4.8 8.8 - 5,526 836 499 337 569 1,842 635 312 323 524 251 273 683 338 344 684 331 353 1,594 436 403 755 February 2003 Civilian labor force Age, sex, and race Civilian noninstitutional population Employed Total Percent of population Total Unemployed Percent of population Number Percent of labor force Not in labor force ASIAN 1 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 9,036 607 298 309 858 5,692 2,159 993 1,166 1,939 1,007 932 1,594 881 713 952 506 446 929 311 270 347 6,006 170 59 110 531 4,534 1,668 720 948 1,563 805 757 1,304 730 574 610 375 235 161 116 21 24 1 Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as the main race. For more information, see the "Explanatory Notes and Estimates of Error" section of this publication. 66.5 27.9 19.9 35.7 61.9 79.7 77.3 72.5 81.3 80.6 80.0 81.2 81.8 82.8 80.6 64.1 74.1 52.8 17.3 37.3 7.7 6.9 2 5,645 151 54 97 465 4,295 1,585 686 899 1,493 761 731 1,217 679 538 582 366 216 153 108 21 24 62.5 24.8 18.0 31.4 54.2 75.5 73.4 69.1 77.2 77.0 75.6 78.5 76.4 77.1 75.5 61.1 72.3 48.4 16.5 34.8 7.7 6.9 361 19 6 13 66 240 83 34 48 70 44 26 87 51 36 28 9 19 8 8 _ - 6.0 11.2 2 ( ) 12.1 12.4 5.3 5.0 4.7 5.1 4.5 5.5 3.4 6.7 7.0 6.3 4.7 2.4 8.3 4.9 6.7 _ - 3,031 437 239 199 327 1,157 491 273 218 376 202 175 289 151 138 341 131 210 768 195 249 323 Data not shown where base is less than 75,000. NOTE: Estimates for the above race groups do not sum to totals because data are not presented for all races. Beginning in January 2003, data reflect revised population controls used in the household survey. February 2003 Civilian labor force Age and sex Civilian noninstitutional population Unemployed Employed Total Percent of population Total Percent of population Percent of labor force Number Not in labor force HISPANIC OR LATINO ETHNICITY 27,095 2,519 1,300 1,219 3,526 17,036 7,382 3,751 3,630 5,885 3,183 2,703 3,769 2,137 1,632 2,039 1,194 845 1,974 659 531 783 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 18,638 941 293 649 2,690 13,599 5,930 3,002 2,928 4,850 2,621 2,229 2,819 1,643 1,175 1,132 738 394 275 154 99 22 68.8 37.4 22.5 53.2 76.3 79.8 80.3 80.0 80.7 82.4 82.4 82.5 74.8 76.9 72.0 55.5 61.8 46.6 14.0 23.4 18.5 2.9 17,083 738 222 516 2,419 12,592 5,473 2,771 2,702 4,515 2,416 2,099 2,604 1,535 1,069 1,069 697 372 265 152 91 22 63.0 29.3 17.1 42.3 68.6 73.9 74.1 73.9 74.4 76.7 75.9 77.7 69.1 71.8 65.5 52.4 58.3 44.0 13.4 23.1 17.1 2.7 8.3 21.6 24.0 20.4 10.1 7.4 7.7 7.7 7.7 6.9 7.8 5.8 7.6 6.6 9.0 5.6 5.6 5.6 3.8 1.2 7.7 1,555 203 70 133 272 1,006 457 231 226 335 206 129 214 108 106 63 41 22 10 2 8 1 (M 8,456 1,578 1,007 571 836 3,437 1,451 749 702 1,036 561 474 950 494 457 907 456 451 1,698 504 433 761 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 13,858 1,292 663 629 1,906 8,862 3,958 2,036 1,922 3,033 1,656 1,377 1,870 1,072 798 963 571 391 835 277 250 308 11,156 528 159 369 1,688 8,143 3,715 1,901 1,815 2,834 1,554 1,280 1,594 920 674 639 403 236 158 84 62 11 80.5 40.9 24.0 58.7 88.6 91.9 93.9 93.3 94.4 93.4 93.8 92.9 85.2 85.8 84.5 66.4 70.5 60.4 18.9 30.5 24.9 3.6 10,250 396 115 281 1,537 7,561 3,448 1,786 1,662 2,651 1,454 1,197 1,462 855 607 603 380 223 153 82 59 11 74.0 30.6 17.3 44.7 80.7 85.3 87.1 87.7 86.5 87.4 87.8 86.9 78.2 79.7 76.1 62.6 66.6 56.9 18.3 29.8 23.7 3.6 907 132 44 88 151 582 267 114 153 183 100 83 132 65 67 36 22 14 5 2 3 8.1 25.0 27.7 23.9 8.9 7.2 7.2 6.0 8.4 6.5 6.4 6.5 8.3 7.1 10.0 5.7 5.6 5.9 3.1 2.3 (M 2,701 764 504 260 218 719 243 136 107 199 102 97 276 152 124 324 169 155 677 193 188 297 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 13,237 1,227 637 590 1,620 8,175 3,423 1,715 1,708 2,852 1,526 1,326 1,899 1,065 834 1,077 623 454 1,138 382 281 475 7,482 413 134 280 1,002 5,456 2,215 1,102 1,113 2,016 1,067 949 1,225 724 501 493 335 158 117 70 36 11 Data not shown where base is less than 75,000. NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any 56.5 33.7 21.0 47.4 61.8 66.7 64.7 64.2 65.2 70.7 69.9 71.6 64.5 67.9 60:1 45.8 53.8 34.8 10.3 18.3 12.9 2.4 6,833 343 108 235 881 5,032 2,025 985 1,040 1,864 962 902 1,143 680 462 466 316 149 112 70 32 10 51.6 27.9 16.9 39.8 54.4 61.6 59.2 57.4 60.9 65.3 63.0 68.0 60.2 63.9 55.4 43.3 50.8 32.9 9.8 18.3 11.3 2.2 648 71 26 45 121 424 190 117 73 152 106 47 82 43 39 27 19 8 5 - 8.7 17.1 19.6 15.9 12.1 7.8 8.6 10.6 6.6 7.6 9.9 4.9 6.7 6.0 7.8 5.5 5.6 5.2 4.6 - 5 1 (M 5,755 814 503 310 618 2,719 1,208 613 595 836 459 377 674 341 333 584 287 296 1,021 312 245 464 race. Beginning in January 2003, data reflect revised population controls used in the household survey. (Numbers in thousands) Employment status, race, and Hispanic or Latino ethnicity Men, 20 years and over Total Women, 20 years and over Both sexes, 16 to 19 years Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 216,663 144,266 66.6 135,443 8,823 6.1 72,397 220,114 145,693 66.2 136,433 9,260 6.4 74,421 95,929 73,186 76.3 68,822 4,364 6.0 22,744 97,762 74,206 75.9 69,518 4,688 6.3 23,556 104,668 63,897 61.0 60,636 3,261 5.1 40,771 106,322 64,622 60.8 61,278 3,344 5.2 41,701 16,065 7,184 44.7 5,986 1,198 16.7 8,882 16,030 6,866 42.8 5,637 1,229 17.9 9,164 179,178 119,925 66.9 113,307 6,618 5.5 59,252 180,599 120,128 66.5 113,376 6,752 5.6 60,470 80,588 61,862 76.8 58,475 3,388 5.5 18,726 81,506 62,210 76.3 58,652 3,558 5.7 19,296 85,988 52,080 60.6 49,745 2,336 4.5 33,908 86,605 52,210 60.3 49,944 2,265 4.3 34,396 12,601 5,983 47.5 5,088 895 15.0 6,619 12,487 5,709 45.7 4,780 929 16.3 6,779 25,414 16,358 64.4 14,689 1,669 10.2 9,056 25,519 16,294 63.8 14,491 1,803 11.1 9,225 10,118 7,276 71.9 6,571 705 9.7 2,842 10,205 7,298 71.5 6,479 818 11.2 2,907 12,888 8,254 64.0 7,533 721 8.7 4,634 12,950 8,260 63.8 7,502 758 9.2 4,690 2,408 828 34.4 585 243 29.3 1,580 2,365 736 31.1 510 226 30.7 1,629 9,619 6,424 66.8 6,066 358 5.6 3,195 9,036 6,006 66.5 5,645 361 6.0 3,031 4,190 3,275 78.2 3,077 198 6.1 915 3,960 3,146 79.4 2,974 172 5.5 814 4,613 2,881 62.5 2,743 138 4.8 1,732 4,470 2,690 60.2 2,520 170 6.3 1,779 816 268 32.8 247 21 7.9 548 607 170 27.9 151 19 11.2 437 25,574 17,743 69.4 16,390 1,353 7.6 7,831 27,095 18,638 68.8 17,083 1,555 8.3 8,456 11,723 9,831 83.9 9,172 659 6.7 1,893 12,566 10,629 84.6 9,854 775 7.3 1,937 11,345 6,853 60.4 6,328 526 7.7 4,492 12,009 7,068 58.9 6,491 577 8.2 4,941 2,506 1,060 42.3 891 169 15.9 1,446 2,519 941 37.4 738 203 21.6 1,578 TOTAL Civilian noninstitutional population Civilian labor force Percent of population Employed Unemployed Unemployment rate Not in labor force White1 Civilian noninstitutional population Civilian labor force Percent of population Employed Unemployed Unemployment rate Not in labor force Black or African American1 Civilian noninstitutional population Civilian labor force Percent of population Employed Unemployed Unemployment rate Not in labor force Asian1 Civilian noninstitutional population Civilian labor force Percent of population Employed Unemployed Unemployment rate Not in labor force Hispanic or Latino ethnicity Civilian noninstitutional population Civilian labor force Percent of population Employed Unemployed Unemployment rate Not in labor force 1 Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as the main race. For more information, see the "Explanatory Notes and Estimates of Error" section of this publication. NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all races. In addition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning in January 2003, data reflect revised population controls used in the household survey. (Numbers in thousands) February 2003 Civilian labor force Enrollment status, educational attainment, race, and Hispanic or Latino ethnicity Civilian noninstitutional population Employed Total Percent of population Unemployed Total Full time Part time Total Looking for full-time work Looking for parttime work Percent of labor force TOTAL ENROLLED Total, 16 to 24 years 16 to 19 years 20 to 24 years 20,402 13,321 7,080 9,096 4,906 4,190 44.6 36.8 59.2 8,031 4,153 3,878 1,783 406 1,377 6,248 3,747 2,501 1,065 753 312 260 129 131 805 624 181 11.7 15.3 7.4 Men Women 10,019 10,383 4,280 4,816 42.7 46.4 3,723 4,309 890 893 2,833 3,415 557 508 151 109 407 398 13.0 10.5 High school College Full-time students Part-time students 10,614 9,787 8,278 1,509 3,520 5,576 4,251 1,325 33.2 57.0 51.3 87.8 2,894 5,138 3,926 1,211 215 1,569 775 794 2,679 3,569 3,152 417 626 439 324 114 95 165 111 54 532 273 213 60 17.8 7.9 7.6 8.6 15,843 10,326 5,517 7,549 4,096 3,452 47.6 39.7 62.6 6,746 3,521 3,226 1,446 328 1,118 5,300 3,192 2,108 802 575 227 154 81 73 648 494 154 10.6 14.0 6.6 Men Women 7,807 8,036 3,512 4,036 45.0 50.2 3,098 3,649 721 725 2,376 2,924 415 388 88 66 327 322 11.8 9.6 High school College Full-time students Part-time students 8,141 7,701 6,489 1,213 2,936 4,613 3,529 1,084 36.1 59.9 54.4 89.4 2,464 4,283 3,285 997 174 1,272 610 662 2,289 3,011 2,675 335 472 330 244 86 49 105 72 32 423 226 172 54 16.1 7.2 6.9 8.0 2,841 1,968 873 914 486 428 32.2 24.7 49.0 720 362 359 205 56 149 516 306 210 193 124 69 83 31 52 110 93 17 21.2 25.6 16.1 Men Women 1,360 1,481 459 455 33.7 30.7 352 368 97 108 255 260 107 87 53 30 54 57 23.2 19.1 High school College Full-time students Part-time students 1,716 1,125 951 173 392 521 375 147 22.8 46.4 39.4 84.8 272 449 325 124 28 177 94 83 244 271 231 40 120 73 50 23 32 51 30 21 89 22 19 2 30.7 14.0 13.3 15.8 1,048 573 475 341 144 198 32.6 25.0 41.7 312 125 187 74 9 65 238 115 122 29 19 10 9 3 6 20 16 4 8.6 13.2 5.3 Men Women 509 539 184 158 36.1 29.3 163 149 46 28 117 121 20 9 4 5 16 4 11.2 5.7 High school College Full-time students Part-time students 382 665 590 75 65 276 219 57 17.1 41.5 37.1 76.0 55 257 205 52 5 70 42 28 50 188 163 24 11 19 14 5 9 9 1 11 9 5 4 2,668 1,887 780 1,001 511 490 37.5 27.1 62.8 840 409 431 277 59 218 563 350 213 162 102 60 39 16 23 123 86 37 16.1 19.9 12.2 Men Women 1,278 1,389 479 523 37.4 37.6 400 440 129 148 270 292 79 83 20 19 59 63 16.5 15.8 High school College Full-time students Part-time students 1,587 1,081 859 222 380 621 427 194 23.9 57.5 49.7 87.5 295 545 373 172 49 228 112 116 246 317 262 55 85 77 54 23 14 25 17 8 71 52 36 15 22.4 12.3 12.6 11.7 Whitei Total, 16 to 24 years 16 to 19 years 20 to 24 years Black or African American 1 Total, 16 to 24 years 16 to 19 years 20 to 24 years Asian 1 Total, 16 to 24 years 16 to 19 years 20 to 24 years _ (2) 6.8 6.4 2 ( ) Hispanic or Latino Ethnicity Total, 16 to 24 years 16 to 19 years 20 to 24 years See footnotes at end of table. (Numbers in thousands) February 2003 Civilian labor force Enrollment status, educational attainment, race, and Hispanic or Latino ethnicity Civilian noninstitutional population Unemployed Employed Total Percent of population Total Full time Part time Total Looking for full-time work Looking for parttime work Percent of labor force TOTAL NOT ENROLLED 15,339 2,708 12,631 12,525 1,960 10,565 81.7 72.4 83.6 10,849 1,484 9,365 8,859 960 7,898 1,990 523 1,467 1,676 476 1,199 1,548 412 1,136 128 64 63 13.4 24.3 11.4 Men Women 7,943 7,396 7,025 5,500 88.4 74.4 5,999 4,850 5,148 3,711 851 1,139 1,026 650 974 573 52 76 14.6 11.8 Less than a high school diploma High school graduates, no college Less than a bachelor's degree Bachelor's degree and higher 3,700 6,659 3,278 1,703 2,468 5,527 2,927 1,602 66.7 83.0 89.3 94.1 1,933 4,750 2,663 1,504 1,505 3,777 2,201 1,376 428 972 462 128 535 778 265 98 490 739 225 94 45 39 39 4 21.7 14.1 9.0 6.1 12,117 2,161 9,955 10,163 1,613 8,550 83.9 74.6 85.9 8,982 1,259 7,723 7,379 822 6,557 1,603 438 1,165 1,180 353 827 1,083 304 779 98 49 49 11.6 21.9 9.7 Men Women 6,389 5,728 5,823 4,340 91.1 75.8 5,064 3,919 4,390 2,989 673 930 759 421 723 360 36 61 13.0 9.7 Less than a high school diploma High school graduates, no college Less than a bachelor's degree Bachelor's degree and higher 2,898 5,195 2,616 1,408 2,036 4,431 2,356 1,339 70.3 85.3 90.1 95.1 1,650 3,891 2,173 1,268 1,279 3,153 1,788 1,159 372 738 385 108 386 540 183 72 346 513 157 67 40 28 26 4 19.0 12.2 7.8 5.3 2,281 397 1,884 1,635 250 1,385 71.7 63.0 73.5 1,272 148 1,124 980 85 895 292 64 228 363 102 261 340 91 249 23 11 12 22.2 40.8 18.9 Men Women 1,087 1,193 821 814 75.5 68.2 621 651 473 507 148 144 200 163 187 153 13 10 24.4 20.0 Less than a high school diploma High school graduates, no college Less than a bachelor's degree Bachelor's degree and higher 629 1,062 441 148 321 814 364 136 50.9 76.7 82.5 91.8 202 626 318 125 155 445 261 119 47 181 58 6 118 189 46 10 116 177 37 10 2 11 9 36.9 23.2 12.6 7.6 359 304 26 278 258 20 238 46 6 40 3 15.4 333 86.2 77.4 86.9 3 16.6 207 152 92.4 78.9 177 127 161 98 3 14.4 16.6 98 121 94 84.1 80.9 93.0 84.9 34 86 97 86 3,378 632 2,746 2,630 430 2,200 77.9 68.1 80.1 Men Women 1,920 1,458 1,738 893 Less than a high school diploma High school graduates, no college Less than a bachelor's degree Bachelor's degree and higher 1,522 1,311 440 104 1,078 1,091 367 94 Total, 16 to 24 years 16 to 19 years 20 to 24 years White1 Total, 16 to 24 years 16 to 19 years 20 to 24 years Black or African Americani Total, 16 to 24 years 16 to 19 years 20 to 24 years - Asiani Total, 16 to 24 years 16 to 19 years 20 to 24 years 417 34 383 Men Women 224 193 Less than a high school diploma High school graduates, no college Less than a bachelor's degree Bachelor's degree and higher 56 121 130 111 (2) (2) 53 55 - - - - 55 53 16 30 30 25 30 23 - 31 65 88 74 2 22 10 12 13 11 23 7 13 11 21 7 - 2,317 329 1,988 1,970 230 1,740 347 99 247 313 101 212 90.5 61.2 1,534 784 1,386 584 147 199 70.8 83.2 83.4 90.2 917 992 332 77 778 844 279 70 139 148 53 7 2 <11.4 ) - 3 19.4 7.8 295 93 202 18 8 10 11.9 23.5 9.6 204 109 195 99 9 10 11.7 12.2 161 99 36 18 154 96 27 18 7 3 8 14.9 9.1 9.7 18.7 - Hispanic or Latino Ethnicity Total, 16 to 24 years 16 to 19 years 20 to 24 years 1 Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as the main race. For more information, see the "Explanatory Notes and Estimates of Error" section of this publication. 2 Data not shown where base is less than 75,000. 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. Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all races. In addition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning in January 2003, data reflect revised population controls used in the household survey. (Numbers in thousands) Less than a bachelor's degree Sex, race, and Hispanic or Latino ethnicity Less than a high school diploma High school graduates, no college Some college, no degree Total Associate degree Bachelor's degiree and h gher 1 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 12,346 43.6 11,157 39.4 1,189 9.6 12,299 43.7 11,028 39.2 1,271 10.3 37,899 64.7 35,621 60.8 2,278 6.0 37,886 63.8 35,525 59.8 2,361 6.2 33,658 73.2 32,139 69.9 1,519 4.5 34,519 73.6 32,799 70.0 1,719 5.0 21,968 71.1 20,897 67.6 1,071 4.9 22,795 71.7 21,575 67.8 1,220 5.4 11,690 77.6 11,242 74.7 448 3.8 11,724 77.8 11,224 74.4 500 4.3 38,557 79.6 37,452 77.3 1,105 2.9 39,370 78.8 38,201 76.5 1,169 3.0 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 7,684 56.2 6,949 50.8 735 9.6 7,840 56.7 7,021 50.8 819 10.4 20,029 74.5 18,800 69.9 1,229 6.1 20,069 73.6 18,685 68.5 1,384 6.9 16,998 80.8 16,148 76.7 850 5.0 17,133 80.1 16,182 75.7 951 5.6 11,380 78.4 10,788 74.3 591 5.2 11,722 78.4 11,070 74.0 652 5.6 5,618 86.1 5,360 82.1 259 4.6 5,411 84.1 5,112 79.4 299 5.5 20,866 84.2 20,222 81.6 644 3.1 21,311 83.8 20,627 81.1 684 3.2 4,662 31.9 4,208 28.8 454 9.7 4,458 31.1 4,007 27.9 452 10.1 17,870 56.3 16,821 53.0 1,049 5.9 17,817 55.5 16,840 52.5 977 5.5 16,660 66.9 15,991 64.2 669 4.0 17,386 68.2 16,618 65.2 768 4.4 10,589 64.6 10,109 61.7 480 4.5 11,073 65.7 10,506 62.3 567 5.1 6,071 71.2 5,882 69.0 189 3.1 6,313 73.1 6,112 70.7 201 3.2 17,691 74.7 17,230 72.7 461 2.6 18,059 73.7 17,574 71.7 485 2.7 9,931 43.9 9,072 40.1 859 8.6 9,944 44.2 9,000 40.0 944 9.5 31,410 64.0 29,705 60.6 1,705 5.4 31,213 63.0 29,514 59.6 1,698 5.4 27,947 72.6 26,758 69.5 1,189 4.3 28,355 73.1 27,108 69.9 1,247 4.4 18,051 70.1 17,203 66.8 848 4.7 18,527 71.0 17,673 67.8 854 4.6 9,896 77.6 9,555 75.0 341 3.4 9,827 77.5 9,435 74.4 393 4.0 32,673 79.3 31,785 77.2 888 2.7 32,906 78.7 32,025 76.6 880 2.7 1,701 40.5 1,469 35.0 232 13.6 1,549 38.8 1,317 33.0 232 15.0 4,850 68.1 4,362 61.2 488 10.1 4,804 67.7 4,294 60.5 510 10.6 4,305 78.4 4,072 74.1 233 5.4 4,374 77.3 4,006 70.8 368 8.4 3,058 77.8 2,906 74.0 152 5.0 3,135 76.0 2,854 69.2 282 9.0 1,247 79.8 1,166 74.6 81 6.5 1,238 80.6 1,152 75.0 86 7.0 2,840 82.5 2,734 79.5 105 3.7 3,018 82.9 2,882 79.2 136 4.5 483 48.8 418 42.2 65 13.4 415 47.2 382 43.4 33 7.9 1,126 65.2 1,084 62.7 42 3.7 1,035 66.7 961 61.8 75 7.2 1,056 72.6 991 68.1 65 6.2 953 71.0 912 67.9 42 4.4 619 70.4 574 65.4 45 7.2 583 70.1 548 65.9 35 6.0 437 75.9 416 72.3 21 4.7 370 72.4 364 71.1 7 1.8 2,854 79.2 2,749 76.2 105 3.7 2,902 76.5 2,775 73.1 127 4.4 5,004 60.8 4,607 56.0 397 7.9 5,372 60.7 4,826 54.5 546 10.2 4,149 75.1 3,859 69.9 290 7.0 4,409 75.3 4,138 70.7 271 6.2 2,892 81.7 2,736 77.3 156 5.4 3,210 81.7 3,034 77.2 176 5.5 2,007 81.2 1,894 76.7 113 5.6 2,259 81.5 2,136 77.0 123 5.4 885 82.7 842 78.7 43 4.8 950 82.2 898 77.6 53 5.5 1,933 85.6 1,890 83.6 43 2.2 2,015 83.5 1,928 79.9 87 4.3 TOTAL Women Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate White 2 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Black or African American 2 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Asian 2 Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate Hispanic or Latino ethnicity Civilian labor force Percent of population Employed Employment-population ratio Unemployed Unemployment rate 1 Includes persons with bachelor's, master's, professional, and doctoral degrees. Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as the main race. For more information, see the "Explanatory Notes and Estimates of Error" section of this publication. 2 NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all races. In addition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning in January 2003, data reflect revised population controls used in the household survey. (In thousands) February 2003 Employed1 Full-time workers Part-time workers At work Age, sex, race, and Hispanic or Latino ethnicity Total Unemployed At work 35 hours or more 1 to 34 hours for economic or noneconomic reasons Not at work Total 2 Part time Part time for for economic noneconomic reasons reasons Not at work Looking for full-time work Looking for part-time 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 111,856 1,367 138 1,229 110,490 9,275 101,214 85,195 16,020 98,288 1,146 106 1,040 97,142 8,069 89,073 75,276 13,797 10,709 207 28 179 10,502 1,006 9,496 7,828 1,667 2,859 14 5 9 2,846 200 2,646 2,090 556 24,577 4,270 1,965 2,305 20,307 3,968 16,339 11,449 4,889 3,302 276 48 228 3,026 630 2,396 2,053 343 20,036 3,858 1,849 2,009 16,178 3,224 12,954 8,791 4,163 1,239 136 67 68 1,103 115 988 605 383 7,739 541 98 443 7,198 1,267 5,931 5,193 738 1,522 688 401 288 833 244 589 406 183 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 64,099 780 63,319 5,257 58,062 48,924 9,138 57,027 664 56,363 4,599 51,764 43,790 7,973 5,528 110 5,418 585 4,833 3,986 848 1,544 6 1,538 73 1,465 1,148 317 8,138 1,938 6,199 1,746 4,453 2,487 1,966 1,498 137 1,362 336 1,025 892 134 6,309 1,730 4,579 1,384 3,195 1,517 1,679 330 72 258 26 233 79 154 4,753 365 4,387 760 3,628 3,149 479 668 368 301 90 210 105 105 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 47,757 587 47,171 4,018 43,153 36,271 6,882 41,261 482 40,779 3,470 37,309 31,486 5,823 5,181 97 5,084 422 4,662 3,843 820 1,315 7 1,308 127 1,181 942 239 16,439 2,332 14,107 2,222 11,885 8,962 2,923 1,804 140 1,664 293 1,371 1,161 210 13,727 2,128 11,599 1,840 9,759 7,274 2,485 908 64 845 89 755 527 229 2,986 175 2,811 508 2,303 2,045 259 853 321 533 154 378 300 78 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 54,196 663 53,533 4,449 49,084 41,143 7,941 48,188 562 47,626 3,897 43,730 36,849 6,881 4,670 95 4,576 486 4,090 3,327 763 1,337 6 1,331 67 1,265 968 297 6,766 1,647 5,119 1,402 3,717 1,907 1,810 1,160 110 1,050 260 790 679 111 5,327 1,476 3,851 1,122 2,729 1,165 1,564 279 61 218 20 198 63 135 3,573 261 3,312 550 2,762 2,378 384 538 291 246 72 174 79 96 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 38,174 487 37,687 3,227 34,460 28,596 5,864 32,977 405 32,572 2,792 29,780 24,850 4,930 4,153 75 4,078 337 3,742 3,009 733 1,044 7 1,037 98 939 737 202 14,240 1,983 12,257 1,871 10,386 7,779 2,607 1,425 114 1,311 227 1,084 910 174 12,012 1,815 10,197 1,561 8,636 6,416 2,220 803 53 750 83 666 453 213 1,970 124 1,845 301 1,544 1,355 189 672 252 420 131 289 226 63 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 5,843 58 5,785 512 5,272 4,578 694 5,174 51 5,123 447 4,676 4,037 639 523 7 516 62 454 406 47 145 873 178 695 225 470 359 111 255 21 234 66 168 154 14 587 153 434 153 281 195 87 31 4 27 6 21 11 10 863 86 777 154 623 562 61 95 54 41 13 28 23 6 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 6,529 82 6,446 532 5,915 5,213 702 5,680 69 5,611 465 5,146 4,535 611 657 14 643 42 602 538 64 1,247 191 1,056 214 842 660 182 242 16 227 43 184 170 14 966 170 795 168 628 468 160 39 5 34 3 31 23 8 713 37 676 147 529 486 43 132 50 82 16 65 53 13 White 3 Black or African American 3 - 145 2 143 135 8 192 - 192 26 167 140 27 (In thousands) February 2003 Employed1 Full-time workers Part-time workers At work At work 2 Age, sex, race, and Hispanic or Latino ethnicity Total Asian 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 3 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 2,761 26 2,735 181 2,554 2,164 391 2,537 23 2,514 164 2,350 1,986 364 180 3 177 14 163 146 17 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 2,009 3 2,006 123 1,883 1,667 216 1,760 3 1,756 102 1,654 1,462 192 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 9,309 198 9,111 1,318 7,793 7,122 672 8,191 174 8,018 1,149 6,869 6,284 585 914 23 891 157 734 674 60 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 5,313 92 5,222 641 4,581 4,151 430 4,647 76 4,571 548 4,023 3,660 362 530 15 515 71 444 401 42 300 61 239 73 167 137 30 40 1 40 5 35 27 8 252 57 195 68 127 110 18 40 33 7 575 61 514 89 425 327 98 85 5 80 14 67 48 19 450 54 396 76 321 249 72 204 1 203 12 190 164 27 941 198 743 220 523 439 84 324 20 304 54 250 232 18 608 178 431 163 268 203 65 135 1,520 251 1,269 241 1,028 881 148 399 42 357 72 285 265 20 1,064 203 860 158 702 580 122 44 - 44 4 41 31 10 41 209 - 209 20 188 171 17 - 41 - 8 3 5 - 5 1 4 40 2 38 - 38 30 7 168 1 167 34 134 122 11 163 3 160 25 135 110 25 16 12 4 4 - 14 4 10 3 7 7 - Hispanic or Latino ethnicity 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. 3 Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as - 135 21 115 89 25 9 3 5 4 2 804 77 727 138 589 554 35 103 55 48 13 35 28 7 58 5 52 11 41 35 6 509 32 477 87 391 361 30 139 39 100 34 66 64 2 9 - the main race. For more information, see the "Explanatory Notes and Estimates of Error" section of this publication. NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all races. In addition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning in January 2003, data reflect revised population controls used in the household survey. A-19. Employed persons by occupation, sex, and age (In thousands) Occupation 16 years and'over 16 years and over i 20 years and over 20 years and over 16 years and over Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 135,443 136,433 71,792 72,237 68,822 69,518 63,652 64,196 60,636 61,278 Feb. 2002 Total Women Men Total Feb. 2003 Management, professional, and related occupations Management, business, and financial operations occupations Management occupations Business and financial operations occupations Professional and related occupations Computer and mathematical occupations Architecture and engineering occupations Life, physical, and social science occupations Community and social services occupations Legal occupations Education, training, and library occupations Arts, design, entertainment, sports, and media occupations Healthcare practitioner and technical occupations 47,333 19,903 14,583 5,320 27,430 3,032 2,798 1,298 2,062 1,383 8,021 2,569 6,267 48,348 20,058 14,490 5,568 28,290 3,291 2,606 1,326 2,196 1,439 8,116 2,675 6,641 23,558 11,662 9,265 2,397 11,896 2,080 2,450 730 807 725 2,076 1,351 1,677 23,780 11,475 8,994 2,481 12,304 2,397 2,246 754 885 791 2,180 1,354 1,698 23,373 11,604 9,220 2,384 11,768 2,065 2,443 728 804 725 2,025 1,308 1,671 23,630 11,454 8,985 2,469 12,176 2,385 2,243 754 878 791 2,125 1,308 1,693 23,774 8,241 5,318 2,923 15,533 952 348 568 1,254 659 5,945 1,218 4,590 24,568 8,583 5,496 3,087 15,985 894 360 572 1,311 649 5,936 1,321 4,943 23,525 8,190 5,269 2,921 15,335 950 345 560 1,246 656 5,845 1,170 4,563 24,331 8,569 5,489 3,080 15,762 890 352 564 1,300 646 5,839 1,250 4,920 Service occupations Healthcare support occupations Protective sen/ice occupations Food preparation and serving related occupations Building and grounds cleaning and maintenance occupations Personal care and service occupations 21,034 2,571 2,672 6,754 4,793 4,244 21,173 2,885 2,596 7,188 4,381 4,122 9,030 218 2,096 2,996 2,849 871 8,995 280 2,080 3,234 2,594 806 8,077 206 2,064 2,318 2,715 773 8,061 246 2,044 2,619 2,433 719 12,004 2,352 577 3,758 1,944 3,372 12,178 2,604 516 3,954 1,787 3,317 10,929 2,231 558 3,095 1,885 3,160 11,072 2,539 489 3,214 1,736 3,095 Sales and office occupations Sales and related occupations Office and administrative support occupations 35,339 15,386 19,953 35,577 15,614 19,963 12,644 7,899 4,745 12,872 8,019 4,853 11,786 7,402 4,384 12,072 7,564 4,508 22,695 7,487 15,208 22,705 7,595 15,110 21,168 6,536 14,631 21,277 6,765 14,512 Natural resources, construction, and maintenance occupations Farming, fishing, and forestry occupations Construction and extraction occupations Installation, maintenance, and repair occupations 12,976 895 7,538 4,542 13,335 878 7,391 5,067 12,338 656 7,355 4,328 12,709 646 7,206 4,856 11,920 581 7,109 4,231 12,358 585 7,019 4,753 638 240 184 215 626 231 185 210 616 218 183 215 592 209 178 204 Production, transportation, and material moving occupations Production occupations Transportation and material moving occupations 18,761 10,276 8,485 18,001 9,654 8,347 14,220 6,982 7,238 13,882 6,728 7,153 13,665 6,792 6,873 13,398 6,585 6,812 4,541 3,294 1,247 4,119 2,926 1,194 4,399 3,227 1,172 4,007 2,870 1,137 NOTE: Occupations reflect the introduction of the 2002 Census occupational classification system derived from the 2000 Standard Occupational Classification system into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey. (Percent distribution) Women Men Total Occupation, race, and Hispanic or Latino ethnicity Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 135,443 100.0 136,433 100.0 71,792 100.0 72,237 100.0 63,652 100.0 64,196 100.0 34.9 14.7 20.3 15.5 26.1 11.4 14.7 9.6 .7 5.6 3.4 13.9 7.6 6.3 35.4 14.7 20.7 15.5 26.1 11.4 14.6 9.8 .6 5.4 3.7 13.2 7.1 6.1 32.8 16.2 16.6 12.6 17.6 11.0 6.6 17.2 .9 10.2 6.0 19.8 9.7 10.1 32.9 15.9 17.0 12.5 17.8 11.1 6.7 17.6 .9 10.0 6.7 19.2 9.3 9.9 37.4 12.9 24.4 18.9 35.7 11.8 23.9 1.0 .4 .3 .3 7.1 5.2 2.0 38.3 13.4 24.9 19.0 35.4 11.8 23.5 1.0 .4 .3 .3 6.4 4.6 1.9 113,307 100.0 113,376 100.0 60,962 100.0 60,962 100.0 52,345 100.0 52,414 100.0 36.0 15.6 20.4 14.4 26.1 11.6 14.5 10.2 .7 6.0 3.5 13.3 7.3 6.0 36.1 15.4 20.7 14.5 26.2 11.8 14.5 10.5 .7 5.9 3.9 12.7 6.9 5.8 33.8 17.3 16.5 11.5 17.3 11.2 6.1 18.1 1.0 10.9 6.2 19.3 9.6 9.6 33.5 16.8 16.8 11.5 17.8 11.5 6.3 18.7 1.0 10.6 7.0 18.5 9.2 9.3 38.5 13.5 25.0 17.8 36.3 12.0 24.3 1.0 .4 .3 .3 6.4 4.6 1.8 39.1 13.8 25.3 17.9 36.0 12.0 24.0 1.1 .4 .3 .4 5.9 4.1 1.8 14,689 100.0 14,491 100.0 6,883 100.0 6,716 100.0 7,806 100.0 7,776 100.0 24.8 9.0 15.8 22.8 27.5 9.9 17.6 6.6 .3 3.5 2.8 18.3 9.0 9.3 27.2 9.6 17.5 22.7 26.4 9.4 17.0 6.4 .2 3.4 2.8 17.4 8.3 9.1 19.4 8.2 11.2 19.9 20.1 9.2 10.9 13.1 .5 7.2 5.4 27.5 11.5 16.0 22.2 9.1 13.2 19.1 17.8 8.0 9.8 13.3 .4 7.1 5.8 27.6 10.9 16.7 29.6 9.7 19.9 25.4 34.0 10.5 23.5 .8 .1 .2 .5 10.2 6.8 3.4 31.4 10.1 21.3 25.7 33.8 10.5 23.2 .5 .1 .2 .2 8.6 6.0 2.6 TOTAL Total, 16 years and over (thousands) Management, professional, and related occupations Management, business, and financial operations occupations Professional and related occupations Service occupations Sales and office occupations Sales and related occupations Office and administrative support occupations Natural resources, construction, and maintenance occupations Farming, fishing, and forestry occupations Construction and extraction occupations Installation, maintenance, and repair occupations Production, transportation, and material moving occupations Production occupations Transportation and material moving occupations White1 Total, 16 years and over (thousands) Management, professional, and related occupations Management, business, and financial operations occupations Professional and related occupations Service occupations Sales and office occupations Sales and related occupations Office and administrative support occupations Natural resources, construction, and maintenance occupations Farming, fishing, and forestry occupations Construction and extraction occupations Installation, maintenance, and repair occupations Production, transportation, and material moving occupations Production occupations Transportation and material moving occupations Black or African American1 Total, 16 years and over (thousands) Management, professional, and related occupations Management, business, and financial operations occupations Professional and related occupations Service occupations Sales and office occupations Sales and related occupations Office and administrative support occupations Natural resources, construction, and maintenance occupations Farming, fishing, and forestry occupations Construction and extraction occupations Installation, maintenance, and repair occupations Production, transportation, and material moving occupations Transportation and material moving occupations See footnotes at end of table. (Percent distribution) Women Men Total Occupation, race, and Hispanic or Latino ethnicity Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 6,066 100.0 5,645 100.0 3,214 100.0 3,061 100.0 2,853 100.0 2,584 100.0 43.2 14.1 29.1 17.0 23.4 11.0 12.4 4.5 .5 1.8 2.2 12.0 8.5 3.5 47.1 15.5 31.6 15.5 21.5 10.6 11.0 3.6 .2 1.6 1.8 12.3 8.2 4.2 46.5 15.3 31.2 14.4 18.6 11.2 7.3 7.3 .3 3.4 3.6 13.2 7.6 5.7 48.5 15.7 32.9 13.1 17.6 10.2 7.5 6.2 .1 2.9 3.1 14.6 7.8 6.8 39.5 12.7 26.8 19.9 28.8 10.7 18.1 1.3 .7 45.4 15.3 30.2 18.3 26.1 11.0 15.1 .5 .3 - - .6 10.5 9.5 1.0 .2 9.7 8.6 1.1 16,390 100.0 17,083 100.0 9,650 100.0 10,250 100.0 6,741 100.0 6,833 100.0 16.4 6.6 9.8 24.0 22.3 9.1 13.1 16.7 2.1 11.0 3.5 20.7 12.0 8.7 17.0 7.0 10.1 22.9 23.1 9.7 13.3 15.7 2.0 9.7 4.1 21.2 11.5 9.7 13.4 6.4 6.9 20.6 13.6 6.6 7.0 26.8 2.7 18.5 5.6 25.6 13.4 12.2 14.1 6.4 7.7 19.3 14.7 7.8 6.9 24.7 2.4 15.9 6.4 27.2 13.2 14.0 20.8 7.0 13.8 28.8 34.6 12.7 21.9 2.1 1.4 .3 .4 13.7 10.0 3.7 21.4 7.8 13.6 28.4 35.7 12.7 23.0 2.3 1.3 .4 .6 12.3 8.9 3.4 Asian1 Total, 16 years and over (thousands) Percent Management, professional, and related occupations Management, business, and financial operations occupations Professional and related occupations Sen/ice occupations Sales and office occupations Sales and related occupations Office and administrative support occupations Natural resources, construction, and maintenance occupations Farming, fishing, and forestry occupations Construction and extraction occupations Installation, maintenance, and repair occupations Production, transportation, and material moving occupations Production occupations Transportation and material moving occupations Hispanic or Latino ethnicity Total, 16 years and over (thousands) Percent Management, professional, and related occupations Management, business, and financial operations occupations Professional and related occupations Service occupations Sales and office occupations Sales and related occupations Office and administrative support occupations Natural resources, construction, and maintenance occupations Farming, fishing, and forestry occupations Construction and extraction occupations Installation, maintenance, and repair occupations Production, transportation, and material moving occupations Production occupations Transportation and material moving occupations 1 Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as the main race. For more information, see the "Explanatory Notes and Estimates of Error" section of this publication. NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all races. In addition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Occupations reflect the introduction of the 2002 Census occupation classification system derived from the 2000 Standard Occupational Classification system into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey. (In thousands) February 2003 Management, professional, and related occupations Industry Agriculture, forestry, fishing, and hunting Mining Construction Manufacturing Durable goods Nondurable goods Wholesale and retail trade Wholesale trade Retail trade Transportation and utilities Information Financial activities Professional and business services Education and health services Leisure and hospitality Other services Other services, except private households Private households Public administration Total employed Management, business, and financial operations occupations 1,983 544 9,231 17,381 10,933 6,447 20,205 4,147 16,058 7,014 3,771 9,676 1,019 72 1,410 2,538 1,675 863 1,481 531 950 716 785 3,348 13,886 Service occupations ProfesService sional Protective occupaand service tions, related occupaexcept occupations protective tions 37 67 214 1,576 605 945 141 804 307 1,037 624 20 5 7 46 31 15 51 7 44 41 14 58 3,138 4,350 28,700 11,302 6,531 2,400 1,427 523 5,892 639 6,210 523 1,201 Sales and office occupations 36 Office and administrative support occupations Farming, Construction fishing, and and extracforestry tion occupaoccupations tions 47 225 107 118 528 23 505 253 93 338 86 44 600 1,830 1,132 698 3,296 731 2,564 1,741 787 2,728 676 5 74 658 341 316 10,093 1,512 8,581 129 418 2,243 481 1,679 670 2,397 13 15,480 793 871 130 164 18 5,872 7,053 2,246 132 772 377 3,882 551 2 866 5 1,384 16 1,626 620 207 375 2 43 604 7 1,410 2,181 2 1,560 NOTE: Industries and occupations reflect the introduction of the 2002 Census industry and occupational classification systems derived from the 2002 North American Industry Classification System and the 2000 Standard Occupational Sales and related occupations Natural resources, construction, and maintenance occupations 4 81 14 66 83 70 13 4 611 15 Installation, maintenance, and repair occupations 32 54 425 777 482 295 948 Production, transportation, and material moving occupations Production occupations 788 543 389 115 8 21 161 7,195 4,536 2,659 690 133 557 259 140 41 181 258 311 101 52 30 174 114 1,078 174 119 475 30 1,078 95 160 472 2 60 185 5,978 379 299 80 112 32 80 163 25 80 160 Classification system into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey. (In thousands) February 2003 Agriculture and related industries Nonagricultural industries Wage and salary workers Age and sex Wage and Selfsalary employed workers workers Unpaid family workers Private industries Total Total 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 1,038 74 30 44 109 213 231 219 110 82 Men, 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 780 59 21 38 88 177 166 160 81 49 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 258 15 8 7 20 36 66 59 29 33 924 1 1 21 4 4 - - 13 116 161 188 212 231 4 - 4 3 2 4 645 1 1 - 9 3 3 - 5 90 105 134 143 168 4 - 2 - - 278 12 1 1 - - 9 27 56 54 69 63 - 3 2 2 4 Other private industries Government Unpaid family workers 125,402 5,475 2,017 3,459 12,889 28,510 31,842 28,575 14,423 3,687 105,552 5,169 1,948 3,221 11,750 24,851 26,826 22,556 11,353 3,047 639 54 31 24 40 124 139 146 114 21 104,913 5,115 1,918 3,197 11,710 24,727 26,687 22,409 11,239 3,026 19,850 306 68 238 1,139 3,659 5,016 6,019 3,070 641 8,959 74 46 28 219 1,466 2,507 2,546 1,588 559 90 8 5 3 10 11 23 28 7 4 65,311 2,596 958 1,638 6,772 15,324 16,857 14,451 7,326 1,986 57,050 2,488 935 1,553 6,299 13,762 14,810 12,025 6,001 1,667 42 8 2 6 57,008 2,480 933 1,548 6,299 13,753 14,799 12,017 5,994 1,667 8,261 108 23 84 473 1,562 2,047 2,427 1,325 319 5,471 54 28 26 125 898 1,455 1,589 1,000 351 21 6 5 1 10 1 60,090 2,880 1,059 1,821 6,117 13,187 14,985 14,124 7,097 1,701 48,501 2,681 1,014 1,668 5,452 11,089 12,016 10,531 5,352 1,380 47,905 2,635 985 1,649 5,411 10,974 11,888 10,393 5,245 1,359 11,589 198 45 153 665 2,097 2,969 3,592 1,745 321 3,488 20 19 2 94 568 1,052 957 588 208 NOTE: Industries reflect the introduction of the 2002 Census industry classification system derived from the North American Industry Classification Private household workers Selfemployed workers - 9 11 8 7 - 596 46 28 18 40 115 128 139 107 21 - 3 1 - _ 70 2 2 — 11 23 24 6 4 System into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey. February 2003 Percent distribution Thousands of persons Hours of work Agriculture and related industries All industries Agriculture and related industries Ail industries Nonagricultural industries Nonagricultural industries 132,335 1,854 130,481 100.0 100.0 100.0 1 to 34 hours 1 to 4 hours 5 to 14 hours 15 to 29 hours 30 to 34 hours 33,225 1,268 5,618 16,230 10,109 606 64 139 273 130 32,619 1,204 5,479 15,957 9,979 25.1 1.0 4.2 12.3 7.6 32.7 3.4 7.5 14.7 7.0 25.0 .9 4.2 12.2 7.6 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 99,110 9,370 53,340 36,400 13,020 13,826 9,554 1,248 108 427 713 115 235 362 97,862 9,262 52,913 35,688 12,905 13,591 9,191 74.9 7.1 40.3 27.5 9.8 10.4 7.2 67.3 5.8 23.0 38.4 6.2 12.7 19.6 75.0 7.1 40.6 27.4 9.9 10.4 7.0 38.7 42.7 40.5 46.3 38.7 42.6 - - - — — — Total, 16 years and over Average hours, total at work Average hours, persons who usually work full time NOTE: Industries reflect the introduction of the 2002 Census industry classification system derived from the North American Industry Classification System into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey. A-24. Persons at work 1 to 34 hours in all and in nonagricultural industries by reason for working less than 35 hours and usual full- or part-time status (Numbers in thousands) February 2003 Nonagricultural industries All industries Reason for working less than 35 hours Total, 16 years and over Total Usually work full time Usually work part time Total Usually work full time Usually work part time 33,225 10,709 22,515 32,619 10,469 22,150 5,061 3,396 1,328 203 134 1,905 1,631 3,156 1,765 1,328 63 4,931 3,317 1,309 176 129 1,813 1,564 3,118 1,753 1,309 56 28,163 724 5,957 648 6,631 1,972 2,822 640 1,064 7,705 8,804 113 962 8,656 113 947 2,822 640 1,064 3,122 4,582 27,688 722 5,886 629 6,585 1,860 2,777 624 1,032 7,572 2,777 624 1,032 3,084 4,488 22.9 21.3 23.7 25.7 22.4 19.3 23.0 21.3 24.0 25.8 22.4 19.3 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 NOTE: Industries reflect the introduction of the 2002 Census industry classification system derived from the North American Industry Classification - 140 134 - 80 - - 19,360 611 4,995 648 6,552 1,972 - - 120 129 - 78 - - - 609 4,938 629 6,507 1,860 - - System into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey. (Numbers in thousands) February 2003 Average hours Worked 1 to 34 hours For noneconomic reasons Total at work Total Total, 16 years and over 130,481 32,619 Wage and salary workers 121,977 Industry and class of worker 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 4,931 8,656 19,032 97,862 38.7 42.6 29,597 4,365 7,960 17,272 92,380 38.8 42.5 531 44 11 13 20 488 47.7 49.0 8,787 2,011 685 820 506 6,776 39.1 40.8 Manufacturing Durable goods Nondurable goods 16,915 10,632 6,283 2,110 1,258 852 472 238 234 1,067 684 383 571 336 235 14,805 9,374 5,431 41.7 41.8 41.6 42.7 42.6 42.8 Wholesale and retail trade 19,661 5,491 828 992 3,671 14,170 38.1 43.2 Transportation and utilities 6,718 1,082 240 427 415 5,636 42.0 44.0 Information 3,695 731 51 239 441 2,964 39.4 42.5 Financial activities 9,449 1,775 167 610 998 7,674 40.1 42.7 Professional and business services 13,488 3,175 554 921 1,699 10,313 39.7 43.3 Education and health services 27,870 8,351 638 2,071 5,641 19,519 37.1 42.0 Leisure and hospitality 10,929 4,704 918 541 3,245 6,225 34.0 42.4 Other services Other services, except private households Private households 6,356 5,738 617 2,156 1,816 340 309 250 59 336 307 29 1,511 1,259 252 4,200 3,923 277 36.3 37.1 28.7 43.0 43.3 39.4 Public administration 6,083 989 57 620 313 5,094 40.7 42.0 Self-employed workers Unpaid family workers 8,413 90 2,980 41 563 3 693 2 1,724 36 5,433 49 38.0 36.0 44.2 (1) Mining Construction 1 Data not shown where base is less than 75,000. NOTE: Industries reflect the introduction of the 2002 Census industry classification system derived from the North American Industry Classification System into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey, (Numbers in thousands) February 2003 Worked 1 to 34 hours Age, sex, race, Hispanic or Latino ethnicity, and marital status Average hours For noneconomic reasons Total at work Total For economic reasons 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 130,481 5,411 1,999 3,412 125,070 12,810 112,260 92,872 19,388 32,619 4,227 1,882 2,345 28,392 4,701 23,690 17,960 5,730 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 69,000 2,580 953 1,627 66,420 6,816 59,604 49,375 10,229 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 Worked 35 hours or more Total at work Persons who usually work full time Usually work full time Usually work part time 4,931 311 59 252 4,620 839 3,781 3,220 561 8,656 158 17 140 8,498 757 7,741 6,391 1,350 19,032 3,758 1,805 1,953 15,273 3,105 12,168 8,348 3,820 97,862 1,184 118 1,066 96,679 8,109 88,569 74,911 13,658 38.7 21.8 15.9 25.3 39.4 34.7 40.0 40.5 37.4 42.6 38.2 37.1 38.4 42.7 40.6 42.8 42.9 42.5 12,663 1,903 876 1,027 10,760 2,208 8,552 6,141 2,411 2,655 162 30 133 2,493 489 2,004 1,746 258 4,103 73 3 70 4,029 401 3,629 2,967 661 5,906 1,668 843 825 4,238 1,319 2,919 1,427 1,492 56,337 677 77 600 55,660 4,608 51,052 43,234 7,818 41.3 23.3 17.0 27.0 42.0 36.1 42.6 43.2 39.9 43.8 38.9 39.4 38.9 43.9 41.0 44.2 44.2 43.8 61,481 2,831 1,046 1,785 58,651 5,995 52,656 43,497 9,159 19,956 2,324 1,006 1,318 17,631 2,493 15,139 11,820 3,319 2,276 149 29 120 2,128 350 1,777 1,474 303 4,553 84 14 70 4,469 356 4,112 3,424 688 13,126 2,091 962 1,128 11,035 1,786 9,249 6,921 . 2,327 41,526 507 40 466 41,019 3,502 37,517 31,677 5,840 35.8 20.5 15.0 23.7 36.6 33.1 37.0 37.4 34.6 40.9 37.4 108,156 58,062 50,094 27,476 10,566 16,910 3,955 2,151 1,804 7,082 3,445 3,637 16,439 4,970 11,469 80,679 47,496 33,184 38.8 41.5 35.5 42.8 44.1 41.0 14,039 6,502 7,537 3,132 1,317 1,815 655 343 312 988 411 577 1,489 563 926 10,907 5,185 5,722 38.2 39.2 37.4 41.1 42.0 40.3 5,495 2,999 2,496 1,187 460 727 173 68 105 337 151 186 677 241 436 4,308 2,539 1,769 39.3 41.5 36.8 42.7 43.8 41.2 16,346 9,782 6,565 3,650 1,746 1,904 1,095 625 470 975 558 417 1,579 562 1,017 12,697 8,036 4,661 38.4 39.9 36.1 41.1 41.6 40.3 Men, 16 years and over: Married, spouse present Widowed, divorced, or separated Never married 42,091 8,304 18,605 5,544 1,352 5,767 1,144 375 1,136 2,600 475 1,027 1,799 502 3,604 36,547 6,951 12,838 43.2 41.8 36.6 44.6 43.7 41.9 Women, 16 years and over: Married, spouse present Widowed, divorced, or separated Never married 33,102 12,494 15,886 10,564 3,184 6,207 946 552 779 2,499 1,009 1,045 7,119 1,623 4,383 22,538 9,309 9,679 36.1 37.9 33.7 40.9 41.3 40.7 TOTAL (1) 37.7 41.0 40.0 41.1 41.2 40.7 Race and Hispanic or Latino ethnicity White, 16 years and over 2 Men Women Black or African American, 16 years and over 2 Men Women Asian, 16 years and over 2 Men Women Hispanic or Latino, 16 years and over Men Women Marital status 1 Data not shown where base is less than 75,000. Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as the main race. For more information, see the "Explanatory Notes and Estimates of Error" section of this publication. NOTE: Estimates for the above race groups (white, black or African American, 2 and Asian) do not sum to totals because data are not presented for all races. In addition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Nonagricuitural industries reflect the introduction of the 2002 Census industry classification system derived from the 2002 North American Industry Classification System into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey. (Numbers in thousands) February 2003 Average hours Worked 1 to 34 hours Occupation and sex Total, 16 years and over Management, professional, and related occupations Management, business, and financial operations occupations Professional and related occupations Service occupations Sales and office occupations Sales and related occupations Office and administrative support occupations Natural resources, construction, and maintenance occupations1 Construction and extraction occupations Installation, maintenance, and repair occupations Production, transportation, and material moving occupations Production occupations Transportation and material moving occupations Men, 16 years and over Management, professional, and related occupations Management, business, and financial operations occupations Professional and related occupations Service occupations Sales and office occupations Sales and related occupations Office and administrative support occupations Natural resources, construction, and maintenance occupations1 Construction and extraction occupations Installation, maintenance, and repair occupations Production, transportation, and material moving occupations Production occupations Transportation and material moving occupations Women, 16 years and over Management, professional, and related occupations Management, business, and financial operations occupations Professional and related occupations Service occupations Sales and office occupations Sales and related occupations Office and administrative support occupations Natural resources, construction, and maintenance occupations 1 Construction and extraction occupations Installation, maintenance, and repair occupations Production, transportation, and material moving occupations Production occupations Transportation and material moving occupations Total 132,335 33,225 46,980 19,487 27,492 20,412 34,658 15,205 19,454 12,888 7,079 4,973 17,397 9,375 8,022 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 5,061 8,804 19,360 99,110 38.7 42.7 9,441 2,847 6,594 8,119 9,901 4,389 5,512 2,481 1,627 600 3,282 1,389 1,893 827 297 530 1,388 1,173 633 540 831 645 114 843 354 489 3,215 1,224 1,991 1,189 2,251 747 1,504 1,063 708 283 1,086 581 505 5,399 1,326 4,073 5,542 6,477 3,010 3,468 587 274 204 1,353 454 899 37,538 16,641 20,898 12,293 24,757 10,815 13,942 10,407 5,452 4,373 14,115 7,986 6,129 40.9 43.5 39.1 34.2 37.3 38.5 36.3 40.0 38.8 42.1 40.2 40.4 39.9 44.0 45.4 42.9 41.2 42.0 44.1 40.4 41.5 40.2 43.3 42.4 41.8 43.3 70,362 13,042 2,753 4,212 6,077 57,320 41.3 43.9 23,228 11,169 12,060 8,760 12,655 7,902 4,753 12,294 6,909 4,771 13,425 6,541 6,884 3,152 1,182 1,970 2,747 2,592 1,440 1,152 2,327 1,578 572 2,224 756 1,468 394 162 232 602 373 193 180 795 636 108 589 195 395 1,334 567 767 496 618 306 312 1,026 700 275 738 328 410 1,424 453 971 1,649 1,601 941 661 505 242 188 897 234 663 20,076 9,987 10,090 6,013 10,063 6,462 3,601 9,967 5,331 4,199 11,201 5,785 5,416 44.0 45.9 42.2 36.8 40.9 42.5 38.3 40.1 38.9 42.1 41.0 41.4 40.7 45.9 47.2 44.7 42.3 44.5 45.9 41.9 41.5 40.1 43.3 43.0 42.4 43.7 61,973 20,182 2,308 4,592 13,283 41,790 35.8 41.0 23,751 8,319 15,432 11,652 22,004 7,303 14,701 593 170 203 3,972 2,833 1,139 6,289 1,665 4,624 5,372 7,309 2,949 4,360 154 49 29 1,058 633 425 433 135 298 786 800 440 360 35 9 5 253 159 94 1,881 657 1,224 693 1,633 440 1,193 36 8 7 348 253 95 3,975 873 3,102 3,893 4,876 2,069 2,807 82 32 16 456 221 236 17,462 6,654 10,808 6,280 14,694 4,354 10,341 440 121 174 2,914 2,200 714 37.9 40.2 36.6 32.2 35.2 34.2 35.6 38.2 37.1 40.5 37.3 38.3 35.0 41.8 42.8 41.2 40.2 40.4 41.5 39.9 42.0 41.9 42.2 40.3 40.4 40.0 1 Includes farming, fishing, and forestry occupations, not shown separately. NOTE: Occupations reflect the introduction of the 2002 Census occupational classification system derived from the 2000 Standard Occupational For noneconomic reasons Total at work Classification system into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey, Women Men Marital status, race, Hispanic or Latino ethnicity, and age Thousands of persons Unemployment rates Thousands of persons Unemployment rates Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 7.0 4.3 8.3 12.0 3,768 1,397 840 1,531 3,839 1,335 878 1,626 5.6 3.9 6.1 8.5 5.6 3.7 6.3 9.0 6.0 3.9 7.7 10.2 6.3 4.0 7.9 10.9 2,706 1,140 635 930 2,642 1,055 602 985 4.9 3.7 5.9 7.0 4.8 3.4 5.6 7.4 958 244 131 583 10.8 5.8 9.6 16.8 12.5 6.9 11.0 19.8 835 165 160 509 845 140 185 520 9.7 5.8 7.2 14.2 9.8 5.0 7.9 14.9 208 106 10 92 184 102 8 74 6.1 5.3 3.3 8.3 5.7 5.2 3.1 7.3 149 75 19 56 176 87 43 47 5.0 4.3 3.8 7.2 6.4 5.4 9.6 6.6 758 275 107 377 907 368 123 416 7.3 4.9 9.1 10.5 8.1 6.1 8.9 11.2 595 290 107 199 648 308 140 200 8.1 7.8 7.5 8.9 8.7 8.2 9.1 9.2 Total, 26 years and over Married, spouse present Widowed, divorced, or separated Never married 3,458 1,758 711 989 3,838 1,926 765 1,146 5.3 4.0 7.9 8.2 5.8 4.3 8.3 9.5 2,634 1,247 783 604 2,682 1,208 805 670 4.6 3.6 5.9 6.6 4.6 3.5 5.9 7.1 White, 25 years and over 1 Married, spouse present Widowed, divorced, or separated Never married 2,723 1,437 569 716 2,936 1,522 606 808 4.9 3.7 7.7 7.6 5.3 3.9 8.0 8.6 1,918 1,002 594 322 1,833 951 536 346 4.1 3.4 5.7 5.1 3.9 3.2 5.1 5.5 Black or African American, 25 years and over 1 Married, spouse present Widowed, divorced, or separated Never married 512 191 116 205 651 241 125 285 8.0 5.7 9.7 10.9 10.2 7.0 10.6 16.1 546 158 144 243 595 129 178 288 7.5 5.8 6.6 10.2 8.1 4.8 7.7 12.2 Asian, 25 years and over 1 Married, spouse present Widowed, divorced, or separated Never married 167 106 10 51 134 102 8 23 5.7 5.3 3.4 7.8 4.7 5.2 3.2 3.6 110 72 19 20 142 84 43 15 4.3 4.3 3.9 4.9 5.8 5.3 9.7 3.5 Hispanic or Latino, 25 years and over Married, spouse present Widowed, divorced, or separated Never married 476 249 101 126 624 339 115 170 5.8 4.7 9.2 7.0 7.0 6.0 9.0 8.5 410 239 90 81 457 264 114 79 7.1 7.0 6.7 7.8 7.5 7.6 7.9 7.0 Feb. 2002 Feb. 2002 Feb. 2003 Total, 16 years and over Married, spouse present Widowed, divorced, or separated Never married 5,055 1,880 727 2,448 5,421 2,008 786 2,627 6.6 4.1 7.9 11.2 White, 16 years and over 1 Married, spouse present Widowed, divorced, or separated Never married 3,912 1,551 585 1,777 4,110 1,599 621 1,891 Black or African American, 16 years and over 1 Married, spouse present Widowed, divorced, or separated Never married 834 199 116 519 Asian, 16 years and over 1 Married, spouse present Widowed, divorced, or separated Never married Hispanic or Latino, 16 years and over Married, spouse present Widowed, divorced, or separated Never married 1 Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as the main race. For more information, see the "Explanatory Notes and Estimates of Error" section of this publication. NOTE: Estimates for the above race groups (white, black or African Feb. 2003 American, and Asian) do not sum to totals because data are not presented for all r^ces. In addition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning in January 2003, data reflect revised population controls used in the household survey. A-29. Unemployed persons by occupation and sex Thousands of persons Occupation Unemployment rates Feb. 2002 Women Men Total Total Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 8,823 9,260 6.1 6.4 6.6 7.0 5.6 5.6 Management, professional, and related occupations Management, business, and financial operations occupations Management occupations Business and financial operations occupations Professional and related occupations Computer and mathematical occupations Architecture and engineering occupations Life, physical, and social science occupations Community and social services occupations Legal occupations Education, training, and library occupations Arts, design, entertainment, sports, and media occupations Healthcare practitioner and technical occupations 1,384 539 400 139 846 142 138 47 36 45 142 175 120 1,534 603 419 184 930 201 129 53 44 29 154 236 85 2.8 2.6 2.7 2.5 3.0 4.5 4.7 3.5 1.7 3.1 1.7 6.4 1.9 3.1 2.9 2.8 3.2 3.2 5.7 4.7 3.9 2.0 2.0 1.9 8.1 1.3 3.2 2.8 2.7 3.0 3.6 5.1 4.7 1.7 1.3 2.6 2.4 6.7 1.0 3.3 2.9 2.9 2.9 3.7 6.1 4.0 3.6 2.4 1.5 .8 8.9 1.0 2.5 2.4 2.6 2.1 2.6 3.1 5.0 5.8 2.0 3.7 1.5 6.1 2.2 2.8 3.0 2.7 3.4 2.8 4.8 8.9 4.3 1.7 2.6 2.2 7.3 1.4 Service occupations Healthcare support occupations Protective service occupations Food preparation and serving related occupations Building and grounds cleaning and maintenance occupations Personal care and service occupations 1,648 154 122 627 467 277 1,800 165 131 750 546 208 7.3 5.7 4.4 8.5 8.9 6.1 7.8 5.4 4.8 9.4 11.1 4.8 8.4 8.7 3.3 9.8 10.6 7.1 8.7 3.3 4.4 9.2 12.0 8.4 6.4 5.4 8.0 7.5 6.2 5.9 7.2 5.6 6.4 9.6 9.8 3.9 Sales and office occupations Sales and related occupations Office and administrative support occupations 2,242 1,046 1,196 2,087 1,046 1,041 6.0 6.4 5.7 5.5 6.3 5.0 5.8 5.0 7.1 5.7 5.6 6.0 6.1 7.8 5.2 5.4 7.0 4.6 Natural resources, construction, and maintenance occupations Farming, fishing, and forestry occupations Construction and extraction occupations Installation, maintenance, and repair occupations 1,412 190 1,001 221 1,653 172 1,169 312 9.8 17.5 11.7 4.6 11.0 16.4 13.7 5.8 9.4 14.7 11.5 4.6 10.6 13.3 13.5 5.4 17.2 24.4 18.3 6.2 19.3 24.0 19.1 13.7 Production, transportation, and material moving occupations Production occupations Transportation and material moving occupations 1,685 882 803 1,681 860 821 8.2 7.9 8.6 8.5 8.2 9.0 7.6 6.9 8.3 8.0 7.0 8.9 10.1 10.0 10.4 10.4 10.7 9.5 420 281 64 75 482 292 105 84 - Total, 16 years and over 1 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. NOTE: Occupations reflect the introduction of the 2002 Census occupational - - - - - - - - - - - - - - - - - — classification system derived from the 2000 Standard Occupational Classification system into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey. Thousands of persons Unemployment rates Feb. 20021 Feb. 2003 Feb. 2002 Women Men Total Total Industry Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 8,823 9,260 6.1 6.4 6.6 7.0 5.6 5.6 7,457 7,820 6.6 6.9 7.0 7.5 6.2 6.2 35 41 7.5 7.1 7.0 5.9 11.1 14.7 Construction 1,060 1,173 12.2 14.0 12.5 14.8 10.1 7.5 Manufacturing 1,296 1,229 7.0 6.7 6.2 6.0 8.8 8.3 Durable goods Nonmetallic mineral products Primary and fabricated metal products Machinery manufacturing Computer and electronic products Electrical equipment and appliances Transportation equipment Wood products Furniture and fixtures Miscellaneous manufacturing 882 44 162 94 188 53 145 28 62 105 791 60 130 64 158 38 140 43 41 118 7.6 8.1 7.4 6.9 10.7 8.6 5.3 6.6 8.3 8.5 6.9 10.6 6.2 4.7 8.9 5.6 5.8 7.9 5.8 9.0 6.8 9.6 7.3 5.4 10.1 6.2 4.8 6.7 8.0 6.0 6.2 9.5 5.9 4.9 8.4 4.9 4.0 8.3 5.8 9.3 9.7 3.0 7.7 11.8 11.6 13.3 6.9 5.7 9.2 12.4 8.6 14.4 7.6 4.0 9.9 7.0 11.4 6.3 5.7 8.6 Nondurable goods Food manufacturing Beverage and tobacco products Textile, apparel, and leather Paper and printing Petroleum and coal products 414 130 6 92 63 11 45 67 438 105 3 125 80 15 49 61 6.0 7.6 2.2 7.3 4.4 5.7 3.8 7.8 6.5 6.2 1.2 11.2 6.0 9.3 3.6 7.3 5.0 7.1 3.0 4.0 3.3 6.9 3.7 6.6 5.6 5.3 .7 9.4 5.8 10.9 3.7 6.7 7.7 8.3 10.0 6.9 4.0 10.5 8.0 7.9 3.3 12.6 6.5 1.1 3.5 8.8 1,264 196 1,068 1,238 206 1,031 6.6 5.1 7.0 6.1 5.0 6.4 5.9 3.8 6.5 5.8 4.5 6.3 7.5 7.7 7.5 6.5 6.3 6.6 Transportation and utilities Transportation and warehousing Utilities 331 296 34 316 290 26 5.7 6.1 3.8 5.8 6.3 3.0 5.3 5.5 4.1 6.0 6.5 2.9 7.2 8.0 2.6 5.3 5.6 3.4 Information 2 Publishing, except Internet Motion picture and sound recording industries Broadcasting, except Internet Telecommunications Internet service providers and data processing services Other information services 277 44 36 27 142 7.7 5.0 11.2 5.5 8.5 13.8 8.1 3.0 18.4 7.0 7.6 13.3 4.3 7.5 6.1 4.7 6.1 8.9 12.2 8.6 4.6 15.1 7.0 8.7 16.1 6.2 7.8 4.0 15.0 5.1 8.1 27 321 42 60 29 141 32 10 10.2 9.3 6.2 9.1 7.1 10.3 18.8 9.6 318 226 163 64 92 56 36 310 244 168 75 66 48 19 3.5 3.4 3.7 2.7 3.9 3.0 7.3 3.4 3.6 3.8 3.2 2.8 2.5 3.9 3.8 3.7 4.4 2.2 4.1 3.0 7.2 3.6 4.1 4.6 3.0 2.7 2.3 3.9 3.3 3.2 3.2 3.0 3.7 3.0 7.5 3.3 3.3 3.3 3.3 3.0 2.8 4.0 Professional and business services Professional and technical services Management, administrative, and waste services 2 Administrative and support services Waste management and remediation services 973 380 592 574 14 1,140 424 716 709 5 7.7 4.9 11.8 12.5 3.8 8.9 5.7 13.4 14.2 1.7 7.4 5.0 11.0 11.9 4.0 9.2 5.9 13.4 14.5 2.2 8.0 4.9 12.9 13.2 3.3 8.6 5.5 13.4 13.9 Education and health services 590 91 499 125 239 135 576 106 471 120 256 94 3.5 2.6 3.7 2.6 3.4 7.3 3.2 3.0 3.3 2.4 3.6 4.6 3.1 2.8 3.2 2.3 3.4 5.8 3.0 2.7 3.2 2.3 2.9 7.5 3.6 2.5 3.8 2.7 3.5 7.6 3.3 3.2 3.3 2.4 3.7 4.1 Total, 16 years and over Nonagricultural private wage and salary workers Plastic and rubber products Wholesale and retail trade Wholesale trade Retail trade Financial activities Finance and insurance Real estate and rental and leasing Real estate Rental and leasing services Health care and social assistance Hospitals Health services, except hospitals - - - - - - _ A-30. Unemployed persons by industry and sex — Continued Thousands of persons Industry Total Feb. 20021 Leisure and hospitality Arts, entertainment, and recreation Accomodation and food services Accomodation Food services and drinking places Other services Other services, except private households Repair and maintenance Personal and laundry services Membership associations and organizations Private households Agricultural and related private wage and salary workers Government workers Self-employed and unpaid family workers No previous work experience .. 1 Industry detail will not sum to total because of minor changes in the industry classification system between 2002 and 2003. 2 Includes other industries, not shown separately. NOTE: Industries reflect the introduction of the 2002 Census industry Unemployment rates Total Feb. 2003 Feb. 2002 Men Feb. 2003 Feb. 2002 Women Feb. 2003 Feb. 2002 Feb. 2003 973 203 770 125 646 339 279 150 79 50 60 1,145 222 922 156 767 331 273 163 46 64 58 8.7 10.4 8.3 7.9 8.4 5.6 5.3 8.9 5.0 2.5 7.4 10.0 11.9 9.6 10.0 9.6 5.7 5.3 9.2 3.0 3.5 8.3 9.0 10.6 8.6 6.7 8.9 7.1 6.9 8.8 7.1 3.3 16.7 9.3 12.4 8.7 8.5 8.7 6.9 6.5 8.8 3.8 3.9 25.6 8.4 10.2 8.1 8.8 7.9 4.3 3.6 10.3 4.1 1.9 6.5 10.6 11.3 10.5 11.0 10.4 4.5 3.8 11.7 2.7 3.2 6.7 187 508 250 420 172 483 304 482 14.8 2.5 2.6 14.7 2.4 3.0 13.2 3.0 3.2 12.7 3.0 3.4 19.5 2.1 1.5 20.7 1.9 2.2 — — — — - classification system derived from the North American Industry Classification System into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey. (Numbers in thousands) Reason Total, 16 years and over Men, 20 years and over Women, 20 years and over Both sexes, 16 to 19 years Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 8,823 5,105 1,535 3,570 2,718 852 901 2,396 420 9,260 5,487 1,543 3,944 2,950 994 792 2,499 482 4,364 3,096 1,058 2,038 1,540 498 398 826 44 4,688 3,428 1,066 2,363 1,753 610 380 810 70 3,261 1,782 391 1,391 1,095 296 431 953 96 3,344 1,808 383 1,426 1,087 339 356 1,060 120 1,198 227 86 142 83 59 72 617 281 1,229 250 95 155 110 45 57 629 292 100.0 57.9 17.4 40.5 10.2 27.2 4.8 100.0 59.3 16.7 42.6 8.6 27.0 5.2 100.0 71.0 24.3 46.7 9.1 18.9 1.0 100.0 73.1 22.7 50.4 8.1 17.3 1.5 100.0 54.6 12.0 42.7 13.2 29.2 2.9 100.0 54.1 11.4 42.6 10.6 31.7 3.6 100.0 19.0 7.2 11.8 6.0 51.5 23.4 100.0 20.4 7.8 12.6 4.6 51.2 23.8 3.5 .6 1.7 .3 3.8 .5 1.7 .3 4.2 .5 1.1 .1 4.6 .5 1.1 .1 2.8 .7 1.5 .2 2.8 .6 1.6 .2 3.2 1.0 8.6 3.9 3.6 .8 9.2 4.3 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 Total unemployed 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: Beginning in January 2003, data reflect revised population controls used in the household survey. (Numbers in thousands) Black or African American 1 White 1 Reason Hispanic or Latino ethnicity Asian 1 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 6,618 3,925 1,288 2,637 2,014 622 742 1,663 289 6,752 4,163 1,327 2,835 2,170 666 599 1,695 296 1,669 862 162 699 500 199 116 590 101 1,803 945 149 796 546 251 108 610 139 358 217 46 171 157 14 38 82 21 100.0 59.3 19.5 39.8 11.2 25.1 4.4 100.0 61.6 19.7 42.0 8.9 25.1 4.4 100.0 51.6 9.7 41.9 7.0 35.3 6.1 100.0 52.4 8.2 44.2 6.0 33.8 7.7 3.3 .6 1.4 .2 3.5 .5 1.4 .2 5.3 .7 3.6 .6 5.8 .7 3.7 .9 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 361 192 12 180 158 22 52 85 31 1,353 751 247 504 311 192 119 383 101 1,555 971 334 637 408 229 79 421 84 100.0 60.6 12.9 47.8 10.7 22.9 5.8 100.0 53.3 3.2 50.0 14.5 23.6 8.5 100.0 55.5 18.3 37.2 8.8 28.3 7.4 100.0 62.4 21.5 41.0 5.1 27.1 5.4 3.4 .6 1.3 .3 3.2 .9 1.4 .5 4.2 .7 2.2 .6 5.2 .4 2.3 .4 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 Total unemployed 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 Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as the main race. For more information, see the "Explanatory Notes and Estimates of Error" section of this publication. NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all races. In addition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning in January 2003, data reflect revised population controls used in the household survey. February 2003 Total unemployed Duration of unemployment Reason, sex, and age 15 weeks and over Thousands of persons Percent 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 9,260 5,487 1,543 3,944 2,950 994 792 2,499 482 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 28.9 27.1 37.6 23.0 21.8 26.3 33.5 31.9 26.9 33.8 35.5 47.2 30.9 29.2 36.1 34.0 31.7 25.3 37.3 37.4 15.2 46.1 48.9 37.6 32.5 36.4 47.8 16.3 16.4 9.6 19.1 19.4 18.2 16.8 15.8 16.6 21.0 21.0 5.5 27.0 29.6 19.4 15.7 20.7 31.2 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 4,688 3,428 1,066 2,363 1,753 610 380 810 70 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 25.0 24.7 33.7 20.6 20.1 22.1 28.8 25.5 35.6 36.8 50.2 30.7 29.0 35.6 29.7 34.8 39.5 38.5 16.1 48.6 50.9 42.3 41.5 39.7 16.7 16.2 10.8 18.7 18.1 20.3 20.8 14.9 22.7 22.3 5.3 30.0 32.7 22.0 20.6 24.8 1 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 3,344 1,808 383 1,426 1,087 339 356 1,060 120 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 29.5 28.7 44.2 24.6 22.3 31.8 35.6 30.1 17.0 32.0 32.7 41.5 30.3 28.4 36.4 41.1 28.8 22.2 38.6 38.6 14.3 45.1 49.3 31.7 23.3 41.1 60.7 16.4 17.8 7.3 20.7 22.6 14.3 10.6 16.7 9.2 22.2 20.8 7.0 24.4 26.6 17.4 12.7 24.4 51.5 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 1,229 250 95 155 110 45 57 629 292 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 42.5 48.6 55.3 44.5 45.1 32.1 38.5 36.7 39.6 39.8 25.3 12.9 8.1 15.9 15.1 14.2 8.4 6.1 9.9 6.7 11.2 4.5 2.0 6.0 8.4 1 Data not shown where base is less than 75,000. NOTE: Beginning in January 2003, data reflect revised population controls Less than 5 weeks (1) 1 (<J> ) 43.1 34.5 5 to 14 weeks (1) (1) 32.5 28.5 Total (1) 1 (<]> ) 24.5 37.0 15 to 26 weeks (1) O (1) 15.3 14.1 27 weeks and over ( ) <]> (1) 9.2 22.9 used in the household survey. A-34. 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 Thousands of persons Percent distribution Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 8,823 2,863 3,107 2,129 979 2,852 1,602 1,250 675 575 9,260 2,679 3,132 2,066 1,066 3,450 1,507 1,943 953 989 100.0 32.5 35.2 24.1 11.1 32.3 18.2 14.2 7.6 6.5 100.0 28.9 33.8 22.3 11.5 37.3 16.3 21.0 10.3 10.7 7,476 2,252 2,652 1,780 873 2,571 1,430 1,141 623 518 7,739 2,016 2,644 1,708 936 3,079 1,341 1,738 849 889 100.0 30.1 35.5 23.8 11.7 34.4 19.1 15.3 8.3 6.9 100.0 26.1 34.2 22.1 12.1 39.8 17.3 22.5 11.0 11.5 15.0 8.9 18.6 10.2 _ _ 15.7 9.6 19.6 11.1 _ _ - - NOTE: Beginning in January 2003, data reflect revised population controls Full-time workers Percent distribution - used in the household survey. February 2003 Weeks Thousands of persons Sex, age, race, Hispanic or Latino ethnicity, and marital status Total 15 weeks and over Less than 5 weeks 5 to 14 weeks Total 15to26 weeks 27 weeks and over Average (mean) duration Median duration 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 9,260 1,229 1,511 2,022 2,083 1,494 704 217 2,679 523 473 608 572 318 134 52 3,132 395 564 689 731 459 217 77 3,450 311 475 725 780 718 353 88 1,507 174 269 361 315 245 128 15 1,943 137 205 364 465 473 225 74 18.6 11.7 14.5 17.1 19.6 24.7 26.2 25.5 10.2 6.2 8.9 10.0 10.6 13.9 14.6 11.7 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 5,421 733 850 1,149 1,169 936 441 143 1,470 299 264 333 275 182 88 30 1,900 233 320 412 452 285 142 56 2,051 201 266 404 442 469 211 57 905 120 170 205 165 162 73 10 1,146 81 97 199 277 306 138 48 18.9 12.7 14.1 16.5 20.9 24.7 25.5 24.7 10.5 6.5 8.9 10.0 11.1 14.6 13.6 11.8 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 3,839 496 662 873 914 559 263 74 1,209 223 209 275 296 136 46 22 1,232 162 244 276 279 174 75 21 1,399 110 208 321 338 249 142 31 602 54 100 157 150 83 54 5 797 56 109 164 189 166 87 26 18.2 10.3 15.0 17.8 17.8 24.5 27.4 9.8 5.7 9.0 10.0 9.9 12.6 16.5 White, 16 years and over 2 Men Women 6,752 4,110 2,642 1,999 1,146 853 2,352 1,476 876 2,401 1,488 912 1,126 704 422 1,275 784 491 17.5 17.6 17.4 9.8 10.1 9.4 Black or African American, 16 years and over 2 Men Women 1,803 958 845 449 217 232 561 309 252 792 431 361 303 164 139 490 268 222 22.1 23.9 20.2 12.3 12.8 11.7 361 184 176 120 57 63 115 58 56 126 69 57 26 18 8 101 51 50 21.1 21.7 20.5 10.5 10.5 10.5 1,555 907 648 603 357 247 496 286 211 455 264 191 243 158 85 212 106 106 14.5 13.3 16.0 8.1 7.9 8.4 Men, 16 years and over: Married, spouse present Widowed, divorced, or separated Never married 2,008 786 2,627 471 194 805 757 244 899 780 348 923 302 141 462 478 207 461 20.5 21.2 17.1 11.1 12.6 9.6 Women, 16 years and over: Married, spouse present Widowed, divorced, or separated Never married 1,335 878 1,626 393 259 557 444 249 538 498 370 531 223 136 243 275 234 288 18.9 21.9 15.6 10.4 11.3 8.7 (1) (1) Race and Hispanic or Latino ethnicity Asian, 16 years and over 2 Men Women Hispanic or Latino ethnicity, 16 years and over Men Women Marital status 1 Data not shown where base is less than 75,000. Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as the main race. For more information, see the "Explanatory Notes and Estimates of Error" section of this publication. 2 NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all races. In addition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning in January 2003, data reflect revised population controls used in the household survey. February 2003 Thousands of persons Occupation and industry Total Less than 5 weeks Weeks 15 weeks and over 5 to 14 weeks Total 15 to 26 weeks 27 weeks and over Average (mean) duration Median duration OCCUPATION Management, professional, and related occupations Management, business, and financial operations occupations Professional and related occupations Sen/ice occupations Sales and office occupations Sales and related occupations Office and administrative support occupations Natural resources, construction, and maintenance occupations Farming, fishing, and forestry occupations Construction and extraction occupations Installation, maintenance, and repair occupations Production, transportation, and material moving occupations .. Production occupations Transportation and material moving occupations 1,534 341 426 767 305 462 24.4 14.5 603 930 1,800 2,087 1,046 1,041 126 215 566 653 396 256 181 245 692 727 353 374 296 470 541 707 297 410 114 191 269 314 131 183 182 280 272 393 166 227 24.3 24.5 15.3 17.1 15.0 19.2 14.1 14.8 9.5 9.2 7.8 10.5 1,653 172 1,169 312 1,681 860 821 513 48 388 77 467 236 231 638 63 461 114 522 238 284 502 60 321 121 692 386 306 244 22 174 48 288 155 133 259 38 147 74 404 231 173 15.6 20.8 13.7 19.8 20.5 21.7 19.3 9.3 12.0 8.5 11.0 10.9 12.1 10.1 177 41 1,191 1,231 791 440 1,240 346 329 314 1,147 785 1,182 332 134 54 15 358 298 182 116 369 98 75 72 303 233 426 110 35 61 15 479 349 212 137 497 120 73 93 386 265 417 113 51 62 11 354 585 397 188 374 128 180 149 458 287 339 109 49 26 4 183 212 128 84 178 65 66 60 212 133 157 38 23 36 8 171 373 268 104 196 63 114 89 246 154 182 71 26 482 130 122 230 80 150 INDUSTRY 1 Agriculture and related industries Mining Construction Manufacturing Durable goods Nondurable goods Wholesale and retail trade Transportation and utilities Information Financial activities Professional and business services Education and health services Leisure and hospitality Other services Public administration No previous work experience 1 Includes wage and salary workers only. Data not shown where base is less than 75,000. NOTE: Industries and occupations reflect the introduction of the 2002 Census industry and occupational classification systems derived from the 2002 North 2 19.1 (2) 14.5 24.4 25.9 21.7 15.9 18.4 27.0 21.5 19.2 17.7 14.4 17.9 23.0 23.6 11.2 (2) 9.2 13.6 14.6 12.5 9.1 10.0 17.3 13.6 11.3 9.6 8.0 8.7 9.5 13.0 American Industry Classification System and the 2000 Standard Occupational Classification system into the Current Population Survey. Beginning in January 2003, data reflect revised population controls used in the household survey. Total Age Category Feb. 2002 Total not in the labor force Do not want a job now 1 Want a job 1 Did not search for work in previous year Searched for work in previous year 2 Not available to work now Available to work now Reason not currently looking: Discouragement over job prospects 3 Reasons other than discouragement Family responsibilities In school or training Ill health or disability Other 4 1 Feb. 2003 16 to 24 years Feb. 2002 25 to 54 years Feb. 2002 Feb. 2003 55 years and over Feb. 2002 Feb. 2003 Men Feb. 2002 Women Feb. 2003 Feb. 2002 Feb. 2003 72,397 74,421 13,516 14,120 19,707 20,764 39,174 39,537 27,267 28,237 45,130 46,184 67,906 69,926 11,855 12,615 17,815 18,637 38,236 38,674 25,283 26,289 42,623 43,637 4,491 4,495 1,661 1,505 1,891 2,127 938 863 1,984 1,948 2,507 2,547 2,573 2,505 889 796 961 1,128 723 581 1,068 990 1,505 1,515 1,917 1,990 772 710 930 998 215 282 916 959 1,001 1,032 494 400 218 144 244 217 32 39 188 139 306 261 1,423 1,590 554 566 687 781 183 243 728 819 695 770 375 1,048 140 256 129 519 450 1,139 168 249 126 596 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 Feb. 2003 Sex 136 418 21 229 28 140 127 438 48 198 18 174 199 487 95 24 79 287 244 538 106 49 62 321 40 143 23 3 22 92 80 163 14 2 46 101 226 502 18 141 71 269 269 550 40 126 64 320 149 546 122 115 58 250 181 589 128 123 63 275 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 2003, data reflect revised population controls used in the household survey. (Numbers in thousands) Characteristic Number Women Men Both sexes Rate 1 Number Rate 1 Rate 1 Number Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 Feb. 2002 Feb. 2003 7,463 240 7,223 766 6,457 5,524 933 780 153 7,620 232 7,388 789 6,600 5,545 1,054 885 169 5.5 4.0 5.6 5.9 5.5 5.7 4.8 5.1 3.6 5.6 4.1 5.6 6.0 5.6 5.7 5.0 5.4 3.7 3,726 71 3,654 278 3,377 2,856 520 432 88 3,808 78 3,730 367 3,363 2,820 543 444 99 5.2 2.4 5.3 4.1 5.4 5.5 5.0 5.3 3.7 5.3 2.9 5.4 5.2 5.4 5.5 4.9 5.2 3.9 3,738 169 3,569 489 3,080 2,668 412 348 64 3,812 154 3,659 422 3,237 2,726 511 441 70 5.9 5.6 5.9 7.7 5.7 5.9 4.6 4.8 3.5 5.9 5.3 6.0 6.8 5.9 6.0 5.2 5.7 3.5 6,325 785 277 619 6,495 700 198 627 5.6 5.3 4.6 3.8 5.7 4.8 3.5 3.7 3,186 377 131 383 3,241 338 106 379 5.2 5.5 4.1 4.0 5.3 5.0 3.5 3.7 3,139 408 146 236 3,254 363 92 248 6.0 5.2 5.1 3.5 6.2 4.7 3.6 3.6 4,171 1,365 1,927 4,329 1,322 1,968 5.3 6.4 5.4 5.5 6.1 5.5 2,493 433 800 2,496 406 905 5.7 5.1 4.1 5.6 4.7 4.7 1,678 932 1,127 1,833 916 1,063 4.9 7.3 6.9 5.3 7.0 6.5 4,111 1,636 259 1,401 4,122 1,720 220 1,523 - - - - - - - 1,830 1,202 79 687 - - 1,830 1,144 90 644 - - - 2,292 518 141 836 - - 2,281 492 169 758 - - - - AGE Total, 16 years and over 2 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 to 64 years 65 years and over RACE AND HISPANIC OR LATINO ETHNICITY White 3 Black or African American 3 Asian 3 Hispanic or Latino ethnicity MARITAL STATUS Married, spouse present Widowed, divorced, or separated 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. 3 Beginning in 2003, persons who selected this race group only; persons who selected more than one race group are not included. Prior to 2003, persons who reported more than one race group were included in the group they identified as the main race. For more information, see the "Explanatory — — Notes and Estimates of Error" section of this publication. NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all races. In addition, persons whose ethnicity is identified as Hispanic or Latino may be of any race and, therefore, are classified by ethnicity as well as by race. Beginning in January 2003, data reflect revised population controls used in the household survey. Decisions, Decisions, Decisions Gear up! T u r n t o u g h d e c i s i o n s into i n f o r m e d decisions w i t h Monthly Labor Review Monthly Labor Review is the principal journal of current data and analysis from the Bureau of Labor Statistics. 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Box 371954, Pittsburgh, PA 15250-7954 | 801 Thank you for your order! hTl (In thousands) Goods-producing Year and month Total Total private Total Mining Service-producing Construc- Manufaction turing Total Transportation and public utilities Wholesale trade Retail trade Finance, insurance, and real estate Government Services Federal State Local Annual averages 1952 1953 1954 1955 1956 1957 1958 1959 I9602 48,793 50,202 48,990 50,641 52,369 52,855 51,322 53,270 54,189 42,185 43,556 42,238 43,727 45,091 45,239 43,483 45,186 45,836 20,198 21,074 19,751 20,513 21,104 20,967 19,513 20,411 20,434 898 866 791 792 822 828 751 732 712 2,668 2,659 2,646 2,839 3,039 2,962 2,817 3,004 2,926 16,632 17,549 16,314 16,882 17,243 17,176 15,945 16,675 16,796 28,595 29,128 29,239 30,128 31,264 31,889 31,811 32,857 33,755 4,248 4,290 4,084 4,141 4,244 4,241 3,976 4,011 4,004 2,821 2,862 2,875 2,934 3,027 3,037 2,989 3,092 3,153 7,184 7,385 7,360 7,601 7,831 7,848 7,761 8,035 8,238 2,035 2,111 2,200 2,298 2,389 2,438 2,481 2,549 2,628 5,699 5,835 5,969 6,240 6,497 6,708 6,765 7,087 7,378 2,420 2,305 2,188 2,187 2,209 2,217 2,191 2,233 2,270 (1) (1) (1) 1,168 1,250 1,328 1,415 1,484 1,536 (1) (1) (1) 3,558 3,819 4,071 4,232 4,366 4,547 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 53,999 55,549 56,653 58,283 60,763 63,901 65,803 67,897 70,384 70,880 45,404 46,660 47,429 48,686 50,689 53,116 54,413 56,058 58,189 58,325 19,857 20,451 20,640 21,005 21,926 23,158 23,308 23,737 24,361 23,578 672 650 635 634 632 627 613 606 619 623 2,859 2,948 3,010 3,097 3,232 3,317 3,248 3,350 3,575 3,588 16,326 16,853 16,995 17,274 18,062 19,214 19,447 19,781 20,167 19,367 34,142 35,098 36,013 37,278 38,839 40,743 42,495 44,158 46,023 47,302 3,903 3,906 3,903 3,951 4,036 4,158 4,268 4,318 4,442 4,515 3,142 3,207 3,258 3,347 3,477 3,608 3,700 3,791 3,919 4,006 8,195 8,359 8,520 8,812 9,239 9,637 9,906 10,308 10,785 11,034 2,688 2,754 2,830 2,911 2,977 3,058 3,185 3,337 3,512 3,645 7,619 7,982 8,277 8,660 9,036 9,498 10,045 10,567 11,169 11,548 2,279 2,340 2,358 2,348 2,378 2,564 2,719 2,737 2,758 2,731 1,607 1,668 1,747 1,856 1,996 2,141 2,302 2,442 2,533 2,664 4,708 4,881 5,121 5,392 5,700 6,080 6,371 6,660 6,904 7,158 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 71,211 73,675 76,790 78,265 76,945 79,382 82,471 86,697 89,823 90,406 58,331 60,341 63,058 64,095 62,259 64,511 67,344 71,026 73,876 74,166 22,935 23,668 24,893 24,794 22,600 23,352 24,346 25,585 26,461 25,658 609 628 642 697 752 779 813 851 958 1,027 3,704 3,889 4,097 4,020 3,525 3,576 3,851 4,229 4,463 4,346 18,623 19,151 20,154 20,077 18,323 18,997 19,682 20,505 21,040 20,285 48,276 50,007 51,897 53,471 54,345 56,030 58,125 61,113 63,363 64,748 4,476 4,541 4,656 4,725 4,542 4,582 4,713 4,923 5,136 5,146 4,014 4,127 4,291 4,447 4,430 4,562 4,723 4,985 5,221 5,292 11,338 11,822 12,315 12,539 12,630 13,193 13,792 14,556 14,972 15,018 3,772 3,908 4,046 4,148 4,165 4,271 4,467 4,724 4,975 5,160 11,797 12,276 12,857 13,441 13,892 14,551 15,302 16,252 17,112 17,890 2,696 2,684 2,663 2,724 2,748 2,733 2,727 2,753 2,773 2,866 2,747 2,859 2,923 3,039 3,179 3,273 3,377 3,474 3,541 3,610 7,437 7,790 8,146 8,407 8,758 8,865 9,023 9,446 9,633 9,765 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 91,152 89,544 90,152 94,408 97,387 99,344 101,958 105,209 107,884 109,403 75,121 73,707 74,282 78,384 80,992 82,651 84,948 87,823 90,105 91,098 25,497 23,812 23,330 24,718 24,842 24,533 24,674 25,125 25,254 24,905 1,139 1,128 952 966 927 777 717 713 692 709 4,188 3,904 3,946 4,380 4,668 4,810 4,958 5,098 5,171 5,120 20,170 18,780 18,432 19,372 19,248 18,947 18,999 19,314 19,391 19,076 65,655 65,732 66,821 69,690 72,544 74,811 77,284 80,084 82,630 84,497 5,165 5,081 4,952 5,156 5,233 5,247 5,362 5,512 5,614 5,777 5,375 5,295 5,283 5,568 5,727 5,761 5,848 6,030 6,187 6,173 15,171 15,158 15,587 16,512 17,315 17,880 18,422 19,023 19,475 19,601 5,298 5,340 5,466 5,684 5,948 6,273 6,533 6,630 6,668 6,709 18,615 19,021 19,664 20,746 21,927 22,957 24,110 25,504 26,907 27,934 2,772 2,739 2,774 2,807 2,875 2,899 2,943 2,971 2,988 3,085 3,640 3,640 3,662 3,734 3,832 3,893 3,967 4,076 4,182 4,305 9,619 9,458 9,434 9,482 9,687 9,901 10,100 10,339 10,609 10,914 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 108,249 108,601 110,713 114,163 117,191 119,608 122,690 125,865 128,916 131,720 89,847 89,956 91,872 95,036 97,885 100,189 103,133 106,042 108,709 111,018 23,745 23,231 23,352 23,908 24,265 24,493 24,962 25,414 25,507 25,669 689 635 610 601 581 580 596 590 539 543 4,650 4,492 4,668 4,986 5,160 5,418 5,691 6,020 6,415 6,653 18,406 18,104 18,075 18,321 18,524 18,495 18,675 18,805 18,552 18,473 84,504 85,370 87,361 90,256 92,925 95,115 97,727 100,451 103,409 106,051 5,755 5,718 5,811 5,984 6,132 6,253 6,408 6,611 6,834 7,031 6,081 5,997 5,981 6,162 6,378 6,482 6,648 6,800 6,911 6,947 19,284 19,356 19,773 20,507 21,187 21,597 21,966 22,295 22,848 23,337 6,646 6,602 6,757 6,896 6,806 6,911 7,109 7,389 7,555 7,578 28,336 29,052 30,197 31,579 33,117 34,454 36,040 37,533 39,055 40,457 2,966 2,969 2,915 2,870 2,822 2,757 2,699 2,686 2,669 2,777 4,355 4,408 4,488 4,576 4,635 4,606 4,582 4,612 4,709 4,786 11,081 11,267 11,438 11,682 11,849 12,056 12,276 12,525 12,829 13,139 2001 2002 131,922 130,791 110,989 109,531 24,944 23,836 565 557 6,685 6,556 17,695 16,724 106,978 106,955 7,065 6,773 6,776 6,671 23,522 23,306 7,712 7,760 40,970 41,185 2,616 2,620 4,885 4,946 13,432 13,694 Monthly data, seasonally adjusted 2002: February March April May June July August September.... October November . . . December .... 2003: JanuaryP FebruaryP , .. 130,706 130,701 130,680 130,702 130,736 130,790 130,913 130,829 130,898 130,817 130,670 109,544 109,505 109,495 109,496 109,525 109,562 109,624 109,536 109,549 109,453 109,311 24,041 23,975 23,905 23,870 23,861 23,812 23,801 23,748 23,688 23,631 23,551 564 560 564 558 555 551 555 552 552 551 553 6,597 6,593 6,541 6,541 6,549 6,519 6,556 6,556 6,544 6,543 6,544 16,880 16,822 16,800 16,771 16,757 16,742 16,690 16,640 16,592 16,537 16,454 106,665 106,726 106,775 106,832 106,875 106,978 107,112 107,081 107,210 107,186 107,119 6,837 6,814 6,799 6,793 6,790 6,780 6,765 6,725 6,727 6,721 6,686 6,689 6,681 6,678 6,681 6,681 6,679 6,671 6,663 6,657 6,643 6,637 23,331 23,332 23,345 23,327 23,308 23,339 23,295 23,291 23,289 23,247 23,152 7,745 7,740 7,743 7,732 7,733 7,737 7,745 7,773 7,803 7,807 7,816 40,901 40,963 41,025 41,093 41,152 41,215 41,347 41,336 41,385 41,404 41,469 2,608 2,611 2,610 2,600 2,601 2,607 2,611 2,621 2,649 2,661 2,664 4,937 4,940 4,942 4,945 4,935 4,950 4,948 4,958 4,955 4,961 4,953 13,617 13,645 13,633 13,661 13,675 13,671 13,730 13,714 13,745 13,742 13,742 130,855 130,547 109,485 109,164 23,570 23,466 550 547 6,570 6,522 16,450 16,397 107,285 107,081 6,684 6,643 6,638 6,637 23,268 23,176 7,812 7,815 41,513 41,427 2,665 2,661 4,933 4,959 13,772 13,763 1 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 NOTE: Establishment survey estimates currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. Total private1 Year and month Weekly hours Hourly earnings Construction Mining Weekly earnings Weekly hours Weekly earnings Hourly earnings Weekly hours Hourly earnings Weekly earnings Annual averages 1964 1965 1966 1967 1968 1969 1970 38.7 38.8 38.6 38.0 37.8 37.7 37.1 $2.36 2.46 2.56 2.68 2.85 3.04 3.23 $91.33 95.45 98.82 101.84 107.73 114.61 119.83 41.9 42.3 42.7 42.6 42.6 43.0 42.7 $2.81 2.92 3.05 3.19 3.35 3.60 3.85 $117.74 123.52 130.24 135.89 142.71 154.80 164.40 37.2 37.4 37.6 37.7 37.3 37.9 37.3 $3.55 3.70 3.89 4.11 4.41 4.79 5.24 $132.06 138.38 146.26 154.95 164.49 181.54 195.45 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 36.9 37.0 36.9 36.5 36.1 36.1 36.0 35.8 35.7 35.3 3.45 3.70 3.94 4.24 4.53 4.86 5.25 5.69 6.16 6.66 127.31 136.90 145.39 154.76 163.53 175.45 189.00 203.70 219.91 235.10 42.4 42.6 42.4 41.9 41.9 42.4 43.4 43.4 43.0 43.3 4.06 4.44 4.75 5.23 5.95 6.46 6.94 7.67 8.49 9.17 172.14 189.14 201.40 219.14 249.31 273.90 301.20 332.88 365.07 397.06 37.2 36.5 36.8 36.6 36.4 36.8 36.5 36.8 37.0 37.0 5.69 6.06 6.41 6.81 7.31 7.71 8.10 8.66 9.27 9.94 211.67 221.19 235.89 249.25 266.08 283.73 295.65 318.69 342.99 367.78 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 35.2 34.8 35.0 35.2 34.9 34.8 34.8 34.7 34.6 34.5 7.25 7.68 8.02 8.32 8.57 8.76 8.98 9.28 9.66 10.01 255.20 267.26 280.70 292.86 299.09 304.85 312.50 322.02 334.24 345.35 43.7 42.7 42.5 43.3 43.4 42.2 42.4 42.3 43.0 44.1 10.04 10.77 11.28 11.63 11.98 12.46 12.54 12.80 13.26 13.68 438.75 459.88 479.40 503.58 519.93 525.81 531.70 541.44 570.18 603.29 36.9 36.7 37.1 37.8 37.7 37.4 37.8 37.9 37.9 38.2 10.82 11.63 11.94 12.13 12.32 12.48 12.71 13.08 13.54 13.77 399.26 426.82 442.97 458.51 464.46 466.75 480.44 495.73 513.17 526.01 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 34.3 34.4 34.5 34.7 34.5 34.4 34.6 34.6 34.5 34.5 10.32 10.57 10.83 11.12 11.43 11.82 12.28 12.78 13.24 13.76 353.98 363.61 373.64 385.86 394.34 406.61 424.89 442.19 456.78 474.72 44.4 43.9 44.3 44.8 44.7 45.3 45.4 43.9 43.2 43.1 14.19 14.54 14.60 14.88 15.30 15.62 16.15 16.91 17.05 17.22 630.04 638.31 646.78 666.62 683.91 707.59 733.21 742.35 736.56 742.18 38.1 38.0 38.5 38.9 38.9 39.0 39.0 38.9 39.1 39.3 14.00 14.15 14.38 14.73 15.09 15.47 16.04 16.61 17.19 17.88 533.40 537.70 553.63 573.00 587.00 603.33 625.56 646.13 672.13 702.68 2001 2002 34.2 34.2 14.31 14.77 489.40 505.13 43.5 42.9 17.56 17.77 763.86 762.33 39.3 38.8 18.34 18.87 720.76 732.16 Monthly data, not seasonally adjusted 2002: February March April May June July August September October November December 2003: JanuaryP FebruaryP 33.9 33.9 33.9 34.1 34.7 34.2 34.4 34.5 34.1 34.0 34.4 $14.66 14.67 14.69 14.66 14.67 14.65 14.70 14.92 14.92 14.97 15.04 $496.97 497.31 497.99 499.91 509.05 501.03 505.68 514.74 508.77 508.98 517.38 42.9 42.7 42.4 43.2 43.5 43.0 43.4 43.2 43.0 42.9 42.3 $17.76 17.73 17.70 17.74 17.65 17.76 17.71 17.80 17.81 17.81 17.85 $761.90 757.07 750.48 766.37 767.78 763.68 768.61 768.96 765.83 764.05 755.06 38.5 38.4 38.7 39.0 39.5 39.2 39.5 39.5 39.0 38.0 37.8 $18.62 18.66 18.70 18.67 18.74 18.90 18.97 19.10 19.14 19.06 19.23 $716.87 716.54 723.69 728.13 740.23 740.88 749.32 754.45 746.46 724.28 726.89 33.7 34.0 15.06 15.16 507.52 515.44 41.9 42.1 18.02 18.24 755.04 767.90 38.1 36.6 19.01 18.99 724.28 695.03 See footnotes at end of table. Transportation and public utilities Manufacturing Year and month Weekly hours Hourly earnings Hourly earnings, excluding overtime Weekly earnings Weekly hours Hourly earnings Weekly earnings Wholesale trade Weekly hours Hourly earnings Weekly earnings Annual averages 1964 1965 1966 1967 1968 1969 1970 40.7 41.2 41.4 40.6 40.7 40.6 39.8 $2.53 2.61 2.71 2.82 3.01 3.19 3.35 $2.43 2.50 2.59 2.71 2.88 3.05 3.23 $102.97 107.53 112.19 114.49 122.51 129.51 133.33 41.1 41.3 41.2 40.5 40.6 40.7 40.5 $2.89 3.03 3.11 3.23 3.42 3.63 3.85 $118.78 125.14 128.13 130.82 138.85 147.74 155.93 40.7 40.8 40.7 40.3 40.1 40.2 39.9 $2.52 2.60 2.73 2.87 3.04 3.23 3.43 $102.56 106.08 111.11 115.66 121.90 129.85 136.86 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 39.9 40.5 40.7 40.0 39.5 40.1 40.3 40.4 40.2 39.7 3.57 3.82 4.09 4.42 4.83 5.22 5.68 6.17 6.70 7.27 3.45 3.66 3.91 4.25 4.67 5.02 5.44 5.91 6.43 7.02 142.44 154.71 166.46 176.80 190.79 209.32 228.90 249.27 269.34 288.62 40.1 40.4 40.5 40.2 39.7 39.8 39.9 40.0 39.9 39.6 4.21 4.65 5.02 5.41 5.88 6.45 6.99 7.57 8.16 8.87 168.82 187.86 203.31 217.48 233.44 256.71 278.90 302.80 325.58 351.25 39.4 39.4 39.2 38.8 38.6 38.7 38.8 38.8 38.8 38.4 3.64 3.85 4.07 4.38 4.72 5.02 5.39 5.88 6.39 6.95 143.42 151.69 159.54 169.94 182.19 194.27 209.13 228.14 247.93 266.88 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 39.8 38.9 40.1 40.7 40.5 40.7 41.0 41.1 41.0 40.8 7.99 8.49 8.83 9.19 9.54 9.73 9.91 10.19 10.48 10.83 7.72 8.25 8.52 8.82 9.16 9.34 9.48 9.73 10.02 10.37 318.00 330.26 354.08 374.03 386.37 396.01 406.31 418.81 429.68 441.86 39.4 39.0 39.0 39.4 39.5 39.2 39.2 38.2 38.3 38.4 9.70 10.32 10.79 11.12 11.40 11.70 12.03 12.24 12.57 12.92 382.18 402.48 420.81 438.13 450.30 458.64 471.58 467.57 481.43 496.13 38.5 38.3 38.5 38.5 38.4 38.3 38.1 38.1 38.0 38.1 7.55 8.08 8.54 8.88 9.15 9.34 9.59 9.98 10.39 10.79 290.68 309.46 328.79 341.88 351.36 357.72 365.38 380.24 394.82 411.10 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 40.7 41.0 41.4 42.0 41.6 41.6 42.0 41.7 41.7 41.6 11.18 11.46 11.74 12.07 12.37 12.77 13.17 13.49 13.90 14.37 10.71 10.95 11.18 11.43 11.74 12.12 12.45 12.79 13.17 13.62 455.03 469.86 486.04 506.94 514.59 531.23 553.14 562.53 579.63 597.79 38.1 38.3 39.3 39.7 39.4 39.6 39.7 39.5 38.7 38.4 13.20 13.43 13.55 13.78 14.13 14.45 14.92 15.31 15.69 16.19 502.92 514.37 532.52 547.07 556.72 572.22 592.32 604.75 607.20 621.70 38.1 38.2 38.2 38.4 38.3 38.3 38.4 38.3 38.3 38.5 11.15 11.39 11.74 12.06 12.43 12.87 13.45 14.07 14.59 15.22 424.82 435.10 448.47 463.10 476.07 492.92 516.48 538.88 558.80 585.97 2001 2002 40.7 40.9 14.83 15.30 14.15 14.56 603.58 625.77 38.1 38.3 16.74 17.29 637.79 662.21 38.2 38.4 15.86 16.21 605.85 622.46 Monthly data, not seasonally adjusted 2002: February March April May June July August September October November December 2003: JanuaryP FebruaryP 40.3 40.9 40.8 40.9 41.3 40.3 41.1 41.3 40.9 40.9 41.5 $15.16 15.16 15.20 15.23 15.28 15.26 15.32 15.40 15.42 15.48 15.58 $14.50 14.45 14.49 14.50 14.52 14.54 14.52 14.60 14.66 14.72 14.78 $610.95 620.04 620.16 622.91 631.06 614.98 629.65 636.02 630.68 633.13 646.57 37.9 37.9 37.9 38.3 38.8 38.4 38.7 38.9 38.3 38.4 38.8 $17.12 17.19 17.26 17.18 17.24 17.28 17.26 17.40 17.38 17.52 17.48 $648.85 651.50 654.15 657.99 668.91 663.55 667.96 676.86 665.65 672.77 678.22 38.0 38.1 38.2 38.3 39.0 38.3 38.5 38.9 38.4 38.5 38.9 $16.21 16.13 16.11 16.08 16.17 16.10 16.19 16.36 16.27 16.33 16.48 $615.98 614.55 615.40 615.86 630.63 616.63 623.32 636.40 624.77 628.71 641.07 40.5 40.4 15.55 15.56 14.84 14.86 629.78 628.62 37.8 38.2 17.48 17.69 660.74 675.76 38.0 38.7 16.40 16.54 623.20 640.10 Finance, insurance, and real estate Retail trade month Weekly hours Hourly earnings Weekly earnings Weekly hours Hourly earnings Services Weekly earnings Weekly hours Hourly earnings Weekly earnings Annual averages 1964 1965 1966 1967 1968 1969 1970 37.0 36.6 35.9 35.3 34.7 34.2 33.8 $1.75 1.82 1.91 2.01 2.16 2.30 2.44 $64.75 66.61 68.57 70.95 74.95 78.66 82.47 37.3 37.2 37.3 37.1 37.0 37.1 36.7 $2.30 2.39 2.47 2.58 2.75 2.93 3.07 $85.79 88.91 92.13 95.72 101.75 108.70 112.67 36.1 35.9 35.5 35.1 34.7 34.7 34.4 $1.94 2.05 2.17 2.29 2.42 2.61 2.81 $70.03 73.60 77.04 80.38 83.97 90.57 96.66 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 33.7 33.4 33.1 32.7 32.4 32.1 31.6 31.0 30.6 30.2 2.60 2.75 2.91 3.14 3.36 3.57 3.85 4.20 4.53 4.88 87.62 91.85 96.32 102.68 108.86 114.60 121.66 130.20 138.62 147.38 36.6 36.6 36.6 36.5 36.5 36.4 36.4 36.4 36.2 36.2 3.22 3.36 3.53 3.77 4.06 4.27 4.54 4.89 5.27 5.79 117.85 122.98 129.20 137.61 148.19 155.43 165.26 178.00 190.77 209.60 33.9 33.9 33.8 33.6 33.5 33.3 33.0 32.8 32.7 32.6 3.04 3.27 3.47 3.75 4.02 4.31 4.65 4.99 5.36 5.85 103.06 110.85 117.29 126.00 134.67 143.52 153.45 163.67 175.27 190.71 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 30.1 29.9 29.8 29.8 29.4 29.2 29.2 29.1 28.9 28.8 5.25 5.48 5.74 5.85 5.94 6.03 6.12 6.31 6.53 6.75 158.03 163.85 171.05 174.33 174.64 176.08 178.70 183.62 188.72 194.40 36.3 36.2 36.2 36.5 36.4 36.4 36.3 35.9 35.8 35.8 6.31 6.78 7.29 7.63 7.94 8.36 8.73 9.06 9.53 9.97 229.05 245.44 263.90 278.50 289.02 304.30 316.90 325.25 341.17 356.93 32.6 32.6 32.7 32.6 32.5 32.5 32.5 32.6 32.6 32.5 6.41 6.92 7.31 7.59 7.90 8.18 8.49 8.88 9.38 9.83 208.97 225.59 239.04 247.43 256.75 265.85 275.93 289.49 305.79 319.48 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 28.6 28.8 28.8 28.9 28.8 28.8 28.9 29.0 29.0 28.9 6.94 7.12 7.29 7.49 7.69 7.99 8.33 8.74 9.09 9.46 198.48 205.06 209.95 216.46 221.47 230.11 240.74 253.46 263.61 273.39 35.7 35.8 35.8 35.8 35.9 35.9 36.1 36.4 36.2 36.4 10.39 10.82 11.35 11.83 12.32 12.80 13.34 14.07 14.62 15.14 370.92 387.36 406.33 423.51 442.29 459.52 481.57 512.15 529.24 551.10 32.4 32.5 32.5 32.5 32.4 32.4 32.6 32.6 32.6 32.7 10.23 10.54 10.78 11.04 11.39 11.79 12.28 12.84 13.37 13.93 331.45 342.55 350.35 358.80 369.04 382.00 400.33 418.58 435.86 455.51 2001 2002 28.9 29.0 9.77 10.04 282.35 291.16 36.1 36.1 15.80 16.35 570.38 590.24 32.7 32.6 14.67 15.24 479.71 496.82 Monthly data, not seasonally adjusted 2002: February March April May June July August September October November December 2003: JanuaryP FebruaryP 28.6 28.7 28.7 29.0 29.7 29.6 29.5 29.1 28.9 28.8 29.5 $9.95 9.98 10.00 9.98 10.00 9.98 10.01 10.15 10.14 10.15 10.18 $284.57 286.43 287.00 289.42 297.00 295.41 295.30 295.37 293.05 292.32 300.31 36.1 35.9 35.8 35.7 36.7 35.8 36.1 36.7 35.8 36.0 36.7 $16.13 16.17 16.23 16.18 16.27 16.25 16.31 16.57 16.53 16.68 16.82 $582.29 580.50 581.03 577.63 597.11 581.75 588.79 608.12 591.77 600.48 617.29 32.5 32.5 32.4 32.4 33.0 32.6 32.8 32.9 32.6 32.6 32.8 $15.17 15.16 15.16 15.12 15.08 15.02 15.05 15.36 15.40 15.52 15.68 $493.03 492.70 491.18 489.89 497.64 489.65 493.64 505.34 502.04 505.95 514.30 28.4 28.9 10.23 10.26 290.53 296.51 36.0 36.9 16.77 16.93 603.72 624.72 32.3 32.8 15.63 15.81 504.85 518.57 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 currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. (In thousands) 2003 2002 Industry Feb. Total Total private Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan P Feb.P 130,706 130,701 130,680 130,702 130,736 130,790 130,913 130,829 130,898 130,817 130,670 130,855 130,547 109,544 109,505 109,495 109,496 109,525 109,562 109,624 109,536 109,549 109,453 109,311 109,485 109,164 24,041 23,975 23,905 23,870 23,861 23,812 23,801 23,748 23,688 23,631 23,551 23,570 23,466 564 32 82 339 111 560 32 81 336 111 564 32 81 339 112 558 32 80 334 112 555 32 80 333 110 551 33 79 329 110 555 32 79 333 111 552 32 79 330 111 552 32 78 331 111 551 32 78 332 109 553 32 78 335 108 550 32 76 335 107 547 32 76 334 105 6,597 1,458 914 4,225 6,593 1,462 908 4,223 6,541 1,452 901 4,188 6,541 1,454 908 4,179 6,549 1,454 910 4,185 6,519 1,445 899 4,175 6,556 1,460 898 4,198 6,556 1,469 898 4,189 6,544 1,475 893 4,176 6,543 1,480 885 4,178 6,544 1,476 880 4,188 6,570 1,470 896 4,204 6,522 1,464 877 4,181 16,880 16,822 16,800 16,771 16,757 16,742 16,690 16,640 16,592 16,537 16,454 16,450 16,397 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 10,023 771 491 551 601 1,425 1,855 315 9,976 769 491 550 596 1,422 1,846 315 9,976 767 497 551 598 1,425 1,842 313 9,963 770 494 549 597 1,428 1,834 308 9,944 767 495 552 593 1,425 1,829 304 9,922 766 495 554 589 1,428 1,826 301 9,889 768 495 557 589 1,418 1,810 296 9,832 764 488 558 586 1,412 1,801 296 9,800 764 488 557 582 1,409 1,797 295 9,757 761 486 556 582 1,400 1,790 293 9,699 758 480 553 579 1,391 1,781 291 9,695 761 478 556 581 1,388 1,775 290 9,653 756 473 552 577 1,379 1,765 287 1,459 1,445 1,443 1,437 1,428 1,426 1,408 1,392 1,381 1,368 1,360 1,354 1,344 571 1,682 913 427 816 372 566 1,674 915 419 813 370 566 1,671 912 416 811 371 567 1,675 914 416 807 372 566 1,679 920 411 805 371 563 1,661 905 409 803 374 555 1,675 918 407 799 370 550 1,661 912 400 798 372 544 1,659 914 396 793 370 536 1,648 909 392 792 374 532 1,638 900 392 790 369 528 1,640 911 389 793 369 525 1,648 908 388 792 367 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 6,857 1,686 33 441 531 621 1,428 1,011 126 924 56 6,846 1,685 34 440 527 620 1,419 1,010 126 929 56 6,824 1,689 33 436 523 615 1,413 1,008 125 927 55 6,808 1,687 34 434 520 612 1,407 1,006 125 928 55 6,813 1,691 34 432 522 612 1,405 1,008 125 929 55 6,820 1,687 35 429 525 612 1,406 1,008 126 936 56 6,801 1,683 38 427 524 613 1,401 1,006 125 929 55 6,808 1,694 37 426 516 612 1,403 1,010 126 927 57 6,792 1,690 37 426 510 614 1,401 1,006 125 926 57 6,780 1,687 36 422 509 613 1,400 1,007 126 925 55 6,755 1,689 36 422 507 607 1,393 1,007 125 916 53 6,755 1,695 34 419 504 606 1,396 1,005 125 917 54 6,744 1,692 34 417 503 604 1,398 1,001 125 918 52 Goods-producing Mining Metal mining Coal mining Oil and gas extraction Nonmetallic minerals, except fuels Construction General building contractors Heavy construction, except building Special trade contractors Manufacturing Service-producing 106,665 106,726 106,775 106,832 106,875 106,978 107,112 107,081 107,210 107,186 107,119 107,285 107,081 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 .... 6,837 4,341 234 6,814 4,330 233 6,799 4,330 230 6,793 4,328 228 6,790 4,334 229 6,780 4,328 227 6,765 4,323 228 6,725 4,293 226 6,727 4,300 225 6,721 4,300 225 6,686 4,273 225 6,684 4,297 224 6,643 4,268 224 479 1,826 187 1,171 15 429 2,496 1,652 844 478 1,819 186 1,172 15 427 2,484 1,643 841 476 1,830 190 1,162 15 427 2,469 1,628 841 475 1,827 193 1,165 15 425 2,465 1,626 839 472 1,829 193 1,172 15 424 2,456 1,615 841 471 1,834 192 1,167 15 422 2,452 1,608 844 466 1,827 190 1,176 15 421 2,442 1,597 ,845 469 1,816 189 1,160 15 418 2,432 1,588 844 471 1,826 189 1,156 15 418 2,427 1,585 842 467 1,829 192 1,151 15 421 2,421 1,583 838 466 1,827 191 1,127 15 422 2,413 1,576 837 464 1,825 191 1,156 15 422 2,387 1,553 834 467 1,808 190 1,144 16 419 2,375 1,546 829 Wholesale trade Durable goods Nondurable goods 6,689 3,924 2,765 6,681 3,912 2,769 6,678 3,908 2,770 6,681 3,916 2,765 6,681 3,915 2,766 6,679 3,914 2,765 6,671 3,905 2,766 6,663 3,897 2,766 6,657 3,893 2,764 6,643 3,885 2,758 6,637 3,880 2,757 6,638 3,877 2,761 6,637 3,876 2,761 (In thousands) 2003 2002 Industry Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P Feb.P 23,331 1,048 2,892 2,550 3,402 23,332 1,053 2,901 2,560 3,392 23,345 1,061 2,915 2,575 3,392 23,327 1,068 2,897 2,560 3,397 23,308 1,066 2,884 2,542 3,394 23,339 1,067 2,885 2,544 3,388 23,295 1,066 2,850 2,513 3,392 23,291 1,067 2,856 2,515 3,392 23,289 1,071 2,851 2,506 3,386 23,247 1,078 2,828 2,491 3,382 23,152 1,077 2,821 2,488 3,365 23,268 1,084 2,831 2,499 3,372 23,176 1,081 2,859 2,526 3,363 2,430 1,134 1,172 1,143 8,161 3,083 2,426 1,131 1,175 1,143 8,154 3,088 2,429 1,129 1,170 1,141 8,152 3,085 2,434 1,133 1,169 1,146 8,130 3,086 2,432 1,128 1,173 1,148 8,121 3,090 2,437 1,127 1,178 1,153 8,144 3,087 2,443 1,130 1,177 1,154 8,125 3,088 2,438 1,131 1,171 1,153 8,129 3,085 2,438 1,131 1,174 1,156 8,140 3,073 2,430 1,128 1,172 1,165 8,129 3,063 2,420 1,123 1,174 1,175 8,063 3,057 2,415 1,118 1,173 1,165 8,145 3,083 2,413 1,117 1,158 1,156 8,060 3,086 Finance, insurance, and real estate .... 7,745 3,812 Finance 2,072 Depository institutions 1,446 Commercial banks 263 Savings institutions 754 Nondepository institutions 359 Mortgage bankers and brokers 726 Security and commodity brokers 260 Holding and other investment offices 2,376 Insurance 1,593 Insurance carriers Insurance agents, brokers, and 783 service 1,557 Real estate 7,740 3,809 2,074 1,447 264 753 357 722 260 2,375 1,591 7,743 3,813 2,075 1,446 264 756 360 723 259 2,374 1,589 7,732 3,813 2,073 1,446 264 756 359 723 261 2,369 1,583 7,733 3,819 2,071 1,444 264 762 366 723 263 2,366 1,579 7,737 3,819 2,073 1,445 263 767 372 718 261 2,365 1,576 7,745 3,822 2,075 1,448 263 773 374 714 260 2,366 1,574 7,773 3,837 2,078 1,450 264 783 382 714 262 2,366 1,577 7,803 3,853 2,080 1,452 263 797 396 713 263 2,371 1,578 7,807 3,854 2,082 1,451 261 801 400 709 262 2,373 1,578 7,816 3,861 2,079 1,449 261 809 408 709 264 2,375 1,578 7,812 3,864 2,078 1,448 260 816 414 711 259 2,379 1,583 7,815 3,868 2,078 1,448 261 822 422 711 257 2,377 1,583 784 1,556 785 1,556 786 1,550 787 1,548 789 1,553 792 1,557 789 1,570 793 1,579 795 1,580 797 1,580 796 1,569 794 1,570 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 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 40,901 868 1,811 1,282 9,207 1,018 3,070 2,758 40,963 872 1,811 1,289 9,237 1,021 3,107 2,795 41,025 857 1,796 1,286 9,312 1,027 3,175 2,857 41,093 856 1,789 1,279 9,330 1,023 3,198 2,888 41,152 857 1,801 1,285 9,332 1,023 3,205 2,902 41,215 862 1,795 1,282 9,325 1,034 3,196 2,875 41,347 863 1,788 1,285 9,395 1,041 3,257 2,925 41,336 874 1,782 1,287 9,330 1,042 3,188 2,869 41,385 874 1,791 1,288 9,324 1,041 3,178 2,865 41,404 880 1,792 1,283 9,309 1,045 3,152 2,838 41,469 880 1,807 1,292 9,311 1,044 3,175 2,866 41,513 884 1,813 1,279 9,298 1,040 3,181 2,876 41,427 884 1,796 1,273 9,272 1,034 3,172 2,879 2,208 1,262 379 574 1,649 10,575 2,041 1,875 4,184 642 1,054 2,485 3,155 722 899 2,198 1,260 377 572 1,635 10,602 2,046 1,879 4,193 643 1,056 2,489 3,162 723 902 2,190 1,261 377 574 1,611 10,611 2,044 1,883 4,199 643 1,059 2,501 3,167 725 903 2,190 1,262 375 578 1,621 10,626 2,050 1,883 4,207 644 1,066 2,518 3,164 722 901 2,191 1,265 378 581 1,631 10,660 2,061 1,887 4,221 643 1,065 2,511 3,165 726 904 2,193 1,266 379 584 1,649 10,687 2,067 1,888 4,233 646 1,065 2,529 3,181 726 904 2,191 1,266 377 588 1,662 10,711 2,075 1,893 4,244 646 1,065 2,538 3,203 736 906 2,190 1,266 378 595 1,638 10,729 2,079 1,896 4,247 651 1,072 2,550 3,199 731 906 2,196 1,262 378 591 1,640 10,755 2,085 1,899 4,256 655 1,077 2,560 3,201 730 909 2,195 1,263 378 590 1,630 10,777 2,088 1,905 4,267 656 1,079 2,574 3,208 728 912 2,187 1,268 376 583 1,653 10,787 2,092 1,904 4,269 657 1,081 2,582 3,209 725 915 2,186 1,274 378 581 1,663 10,806 2,089 1,906 4,276 659 1,086 2,591 3,222 729 912 2,185 1,262 375 575 1,642 10,811 2,093 1,905 4,283 663 1,091 2,584 3,219 728 916 109 2,471 3,629 1,044 1,193 109 2,470 3,631 1,044 1,191 109 2,477 3,636 1,041 1,202 108 2,480 3,649 1,042 1,209 109 2,484 3,636 1,034 1,204 109 2,476 3,634 1,032 1,214 108 2,472 3,634 1,030 1,211 108 2,478 3,659 1,029 1,224 107 2,480 3,666 1,027 1,226 107 2,478 3,667 1,028 1,228 106 2,476 3,669 1,028 1,232 107 2,473 3,670 1,020 1,238 107 2,472 3,676 1,019 1,238 Government Federal Federal, except Postal Service State Education Other State government Local Education Other local government 21,162 2,608 1,777 4,937 2,130 2,807 13,617 7,746 5,871 21,196 2,611 1,782 4,940 2,133 2,807 13,645 7,767 5,878 21,185 2,610 1,784 4,942 2,135 2,807 13,633 7,754 5,879 21,206 2,600 1,777 4,945 2,141 2,804 13,661 7,770 5,891 21,211 2,601 1,783 4,935 2,135 2,800 13,675 7,755 5,920 21,228 2,607 1,790 4,950 2,155 2,795 13,671 7,788 5,883 21,289 2,611 1,792 4,948 2,145 2,803 13,730 7,837 5,893 21,293 2,621 1,810 4,958 2,163 2,795 13,714 7,808 5,906 21,349 2,649 1,840 4,955 2,160 2,795 13,745 7,829 5,916 21,364 2,661 1,853 4,961 2,165 2,796 13,742 7,820 5,922 21,359 2,664 1,856 4,953 2,166 2,787 13,742 7,813 5,929 21,370 2,665 1,855 4,933 2,146 2,787 13,772 7,842 5,930 21,383 2,661 1,859 4,959 2,168 2,791 13,763 7,836 5,927 1 Includes other industries, not shown separately. P = preliminary. NOTE: Establishment survey estimates currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. (In thousands) 2001 2002 Industry Dec. Total Total private Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 63,872 63,980 63,955 63,957 63,956 63,928 63,940 63,947 64,032 64,005 64,066 64,040 64,014 51,928 51,997 51,957 51,935 51,929 51,874 51,903 51,943 51,916 51,906 51,932 51,898 51,864 6,143 6,098 6,074 6,049 6,040 6,026 6,016 6,013 5,986 5,973 5,950 5,930 5,910 78 76 78 77 76 76 75 73 74 73 73 73 73 736 730 731 734 736 737 733 732 735 735 738 738 741 5,329 5,292 5,265 5,238 5,228 5,213 5,208 5,208 5,177 5,165 5,139 5,119 5,096 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 2,691 143 158 93 95 322 407 594 385 (1) 159 2,658 142 158 92 94 320 402 584 375 (1) 159 2,643 142 158 92 93 319 399 575 376 (1) 158 2,629 141 158 91 93 318 398 569 373 (1) 158 2,627 142 159 92 92 318 397 568 372 (1) 158 2,616 141 159 90 91 317 395 564 373 (1) 157 2,606 140 160 91 90 316 393 559 373 (1) 157 2,598 140 159 90 89 317 393 556 368 (1) 159 2,581 141 158 91 89 316 389 549 369 (1) 155 2,566 139 157 91 88 316 387 542 366 (1) 157 2,554 139 156 91 88 315 387 538 364 (1) 156 2,536 138 155 91 88 312 384 528 363 (1) 157 2,523 138 153 91 87 311 382 526 361 (1) 155 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 2,638 552 11 204 377 152 643 340 21 308 30 2,634 554 11 203 376 152 640 339 20 308 31 2,622 555 11 201 371 151 635 340 21 307 30 2,609 553 11 199 368 150 631 340 20 307 30 2,601 552 11 198 367 149 628 339 20 308 29 2,597 554 11 196 366 148 627 339 20 307 29 2,602 555 11 195 368 149 627 339 20 309 29 2,610 552 12 194 374 149 627 339 20 313 30 2,596 550 14 193 371 149 623 339 20 308 29 2,599 555 13 192 366 149 625 342 20 307 30 2,585 552 13 192 359 150 624 339 20 306 30 2,583 552 13 190 360 148 625 340 20 306 29 2,573 549 12 192 360 146 623 341 20 302 28 Goods-producing Mining Construction Manufacturing Service-producing 57,729 57,882 57,881 57,908 57,916 57,902 57,924 57,934 58,046 58,032 58,116 58,110 58,104 Transportation and public utilities 2,124 2,108 2,098 2,080 2,071 2,066 2,059 2,065 2,057 2,040 2,043 2,034 2,026 Wholesale trade 2,073 2,085 2,078 2,073 2,074 2,066 2,074 2,077 2,069 2,069 2,070 2,055 2,059 Retail trade Finance, insurance, and real estate 12,190 12,257 12,251 12,246 12,236 12,192 12,203 12,207 12,183 12,186 12,169 12,137 12,092 4,876 4,875 4,871 4,867 4,869 4,864 4,858 4,858 4,854 4,876 4,896 4,899 4,899 Services 24,522 24,574 24,585 24,620 24,639 24,660 24,693 24,723 24,767 24,762 24,804 24,843 24,878 Government Federal State Local 11,944 11,983 11,998 12,022 12,027 12,054 12,037 12,004 12,116 12,099 12,134 12,142 12,150 1,064 1,092 1,097 1,100 1,104 1,106 1,106 1,108 1,109 1,118 1,133 1,139 1,141 2,558 2,563 2,563 2,567 2,573 2,575 2,552 2,549 2,549 2,571 2,574 2,581 2,573 8,322 8,328 8,338 8,355 8,350 8,373 8,379 8,347 8,458 8,410 8,427 8,422 8,436 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 currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. (In thousands) 2002 2003 Industry Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P Feb.P Total private 89,738 89,606 89,661 89,633 89,673 89,716 89,712 89,698 89,722 89,576 89,503 89,652 89,332 Goods-producing 16,841 16,716 16,727 16,701 16,708 16,688 16,679 16,624 16,588 16,540 16,487 16,491 16,378 Mining Construction Manufacturing 441 437 442 438 435 431 435 432 429 425 427 425 428 5,095 5,015 5,035 5,018 5,037 5,010 5,032 5,028 5,025 5,027 5,030 5,023 4,965 11,305 11,264 11,250 11,245 11,236 11,247 11,212 11,164 11,134 11,088 11,030 11,043 10,985 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 6,653 620 385 430 460 1,055 1,117 856 1,085 677 (2) 247 6,625 620 386 429 456 1,054 1,112 851 1,075 675 (2) 247 6,620 618 389 429 457 1,056 1,110 847 1,072 673 (2) 247 6,619 623 387 429 457 1,058 1,103 842 1,079 675 (2) 248 6,603 618 389 429 453 1,056 1,102 837 1,082 680 (2) 247 6,609 619 391 430 451 1,061 1,102 838 1,074 674 (2) 250 6,591 619 390 436 452 1,051 1,094 825 1,089 689 (2) 248 6,539 617 383 434 448 1,047 1,088 813 1,071 676 (2) 250 6,522 617 383 434 447 1,048 1,084 806 1,070 675 (2) 248 6,487 614 383 433 447 1,038 1,079 797 1,062 670 (2) 250 6,445 613 378 430 445 1,033 1,070 792 1,057 665 (2) 246 6,455 615 375 430 445 1,030 1,067 790 1,073 677 (2) 246 6,406 611 371 428 442 1,022 1,060 779 1,067 672 (2) 244 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 4,652 1,242 25 365 406 472 744 550 91 716 41 4,639 1,238 25 363 402 472 738 550 91 719 41 4,630 1,243 24 360 401 468 738 548 90 717 41 4,626 1,245 25 358 400 465 734 550 91 717 41 4,633 1,249 26 357 401 466 734 551 90 719 40 4,638 1,244 26 355 403 465 734 551 91 727 42 4,621 1,244 29 353 402 465 730 549 89 720 40 4,625 1,250 27 351 398 464 732 550 90 719 44 4,612 1,242 27 352 393 465 732 550 90 717 44 4,601 1,244 27 350 392 465 728 549 90 714 42 4,585 1,247 26 350 389 459 724 550 90 709 41 4,588 1,254 25 350 388 457 725 550 90 709 40 4,579 1,250 25 345 388 457 728 546 91 711 38 Service-producing 72,897 72,890 72,933 72,932 72,965 73,028 73,033 73,074 73,134 73,036 73,016 73,161 72,954 Transportation and public utilities 5,691 5,660 5,650 5,633 5,627 5,614 5,598 5,577 5,574 5,567 5,549 5,536 5,499 Wholesale trade 5,352 5,349 5,355 5,353 5,357 5,351 5,348 5,343 5,337 5,321 5,324 5,311 5,312 Retail trade Finance, insurance, and real estate Services 20,573 20,574 20,566 20,543 20,538 20,564 20,528 20,537 20,527 20,444 20,363 20,468 20,383 5,631 5,628 5,650 5,641 5,628 5,640 5,672 5,697 5,712 5,708 5,713 5,710 35,650 35,681 35,714 35,762 35,812 35,873 35,918 35,945 35,999 35,992 36,072 36,133 36,050 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, cannot be separated with sufficient precision. 5,631 P = preliminary. NOTE: Establishment survey estimates currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. (Percent) Time span Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 1 Private nonfarm payrolls, 347 industries Over 1-month span: 1999 2000 2001 2002 2003 55.3 55.9 49.4 47.3 P49.6 58.6 57.5 45.7 41.4 P41.1 53.6 57.9 50.3 49.7 58.4 51.2 42.4 47.8 55.5 50.1 47.3 50.9 57.8 55.8 43.2 49.4 57.1 57.8 44.5 48.6 54.8 51.4 42.5 48.8 57.1 52.4 42.4 49.3 57.2 52.4 40.5 48.3 60.4 53.2 39.3 45.8 58.1 52.7 44.1 44.4 Over 3-month span: 1999 2000 2001 2002 2003 59.2 60.4 45.5 40.1 P40.3 57.6 61.4 46.1 43.2 59.5 58.4 40.8 42.5 55.2 53.2 43.4 46.5 60.2 52.4 37.8 48.0 57.2 55.5 43.2 50.1 59.4 56.6 39.3 47.1 59.2 56.2 38.0 45.1 59.7 51.2 35.3 47.3 58.9 51.0 33.7 45.1 61.2 53.2 36.3 43.1 60.7 51.6 38.9 P45.0 Over 6-month span: 1999 2000 2001 2002 2003 60.2 61.1 44.7 37.0 58.9 59.4 42.7 41.6 58.5 58.1 39.5 43.4 59.7 57.9 40.1 44.4 57.2 54.2 40.8 46.5 60.8 52.4 35.6 46.0 61.2 52.9 37.0 46.5 62.5 54.2 32.4 43.1 62.7 52.4 34.3 40.8 61.8 48.7 33.1 P43.9 61.2 45.7 34.1 P39.2 62.8 46.5 35.6 Over 12-month span: 1999 2000 2001 2002 2003 61.2 61.4 41.5 35.2 60.1 59.9 41.5 36.0 58.2 58.8 38.9 37.3 61.0 56.2 37.5 38.3 60.7 55.3 37.3 40.5 61.5 53.6 36.2 39.9 62.2 53.0 34.1 P40.9 61.1 51.0 33.6 P38.0 63.8 47.7 34.4 62.2 45.2 33.9 59.7 44.5 33.3 60.5 42.9 34.0 Manufacturing payrolls, 136 industries1 Over 1-month span: 1999 2000 2001 2002 2003 47.4 44.9 34.9 35.3 P46.7 41.2 52.2 26.8 37.9 P39.0 42.6 49.3 38.2 40.4 46.0 46.0 29.0 47.4 46.3 49.3 28.3 47.1 43.4 50.7 30.5 40.4 50.0 57.4 34.9 48.9 42.6 36.8 25.7 41.9 46.0 39.0 31.6 40.1 45.6 42.3 31.3 40.4 51.5 47.1 25.0 40.1 49.3 40.8 30.9 37.1 Over 3-month span: 1999 2000 2001 2002 2003 39.3 48.2 21.3 24.6 P29.0 39.3 48.9 21.3 30.1 39.7 48.9 18.4 37.1 40.1 44.5 23.5 38.6 41.2 46.7 19.9 40.1 43.8 52.2 23.2 41.2 44.1 46.0 17.3 38.6 46.3 38.6 19.1 34.6 42.3 29.0 16.2 32.4 44.1 34.2 18.0 32.0 47.8 39.0 18.4 28.3 45.2 36.0 18.0 P32.0 Over 6-month span: 1999 2000 2001 2002 2003 36.4 47.8 20.2 19.9 36.0 45.2 16.9 26.8 37.5 44.5 14.0 29.8 40.4 50.0 16.2 38.2 37.5 41.9 16.5 36.4 42.3 37.9 13.2 34.2 43.0 36.0 14.7 31.6 44.5 35.3 11.8 26.8 48.2 32.4 14.0 24.6 43.0 26.1 13.2 P26.8 44.5 21.3 17.6 P24.3 47.4 21.7 16.5 Over 12-month span: 1999 2000 2001 2002 2003 38.6 49.3 13.6 18.0 34.6 44.1 13.6 180 32.4 39.3 13.6 20.2 36.0 36.8 15.4 20.2 37.9 35.3 12.1 24.6 39.0 34.2 11.0 22.1 40.1 33.8 11.0 P25.0 40.4 28.7 11.0 P22.1 44.5 22.1 12.9 44.5 19.1 12.9 43.4 17.6 14.0 44.5 14.0 13.6 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 currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classificaton System. See editor's note on the first page of this publication for additional information. (In thousands) 2002 2003 State Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P Total1 1,887.9 292.0 2,253.8 1,145.1 14,434.8 1,887.2 293.8 2,250.8 1,145.0 14,444.3 Colorado Connecticut Delaware District of Columbia Florida 2,183.3 1,674.6 413.0 659.0 7,149.0 2,181.8 1,674.3 413.8 661.0 7,151.9 2,181.5 1,673.5 411.9 663.1 7,163.9 2,188.2 1,675.2 411.2 663.8 7,184.3 2,194.3 1,673.2 413.3 664.0 7,201.5 2,189.3 1,672.1 412.2 663.8 7,200.1 2,182.6 1,661.7 410.0 664.3 7,214.7 2,185.5 1,664.5 408.9 665.2 7,217.3 2,181.3 1,663.9 413.4 665.7 7,231.6 2,181.0 1,662.9 412.4 665.5 7,236.6 2,176.4 1,662.4 414.2 661.4 7,261.7 2,173.5 1,660.2 411.5 662.0 7,238.8 2,168.8 1,662.1 411.2 666.0 7,250.7 Georgia Hawaii Idaho Illinois Indiana 3,912.1 549.8 562.6 5,917.0 2,890.6 3,910.9 550.7 563.1 5,896.7 2,889.3 3,909.8 551.5 562.9 5,880.9 2,882.7 3,916.1 548.3 566.3 5,887.2 2,880.3 3,912.0 554.9 567.6 5,882.9 2,884.1 3,903.5 558.4 567.9 5,871.6 2,883.7 3,886.2 556.3 568.9 5,887.9 2,907.0 3,912.3 556.5 568.7 5,902.7 2,898.8 3,908.9 558.5 568.8 5,902.7 2,895.0 3,909.3 562.3 569.2 5,914.1 2,898.7 3,911.4 561.3 569.9 5,913.8 2,892.3 3,905.2 562.2 569.3 5,919.4 2,880.4 3,897.1 565.6 563.5 5,903.0 2,883.3 Iowa Kansas Kentucky Louisiana Maine 1,453.1 1,336.0 1,794.8 1,899.8 604.8 1,450.8 1,333.3 1,788.5 1,896.9 604.7 1,448.6 1,336.0 1,789.6 1,894.3 605.4 1,449.4 1,339.0 1,788.1 1,901.5 606.0 1,448.4 1,340.0 1,787.2 1,899.7 606.4 1,446.4 1,341.4 1,787.7 1,899.8 606.4 1,443.9 1,337.0 1,775.6 1,898.3 608.1 1,439.1 1,339.1 1,784.3 1,901.1 607.8 1,444.7 1,337.1 1,783.2 1,899.2 606.3 1,447.3 1,338.6 1,786.4 1,895.8 605.9 1,445.9 1,339.1 1,787.6 1,896.9 603.8 1,443.5 1,339.0 1,783.3 1,898.4 604.2 1,445.6 1,333.6 1,790.4 1,905.1 605.4 Maryland Massachusetts Michigan Minnesota Mississippi 2,475.4 3,270.4 4,477.2 2,657.3 1,124.7 2,477.9 3,258.2 4,474.8 2,652.4 1,125.3 2,479.0 3,260.6 4,472.1 2,647.7 1,125.1 2,475.0 3,256.3 4,474.9 2,647.4 1,124.4 2,478.4 3,258.0 4,481.4 2,652.2 1,123.8 2,477.1 3,251.7 4,479.9 2,652.6 1,125.7 2,454.0 3,266.3 4,475.9 2,654.0 1,135.0 2,470.0 3,259.9 4,490.0 2,653.0 1,130.6 2,469.3 3,251.7 4,484.6 2,654.4 1,127.0 2,466.5 3,238.4 4,481.9 2,655.7 1,128.4 2,470.6 3,226.4 4,474.3 2,652.1 1,128.8 2,478.2 3,220.9 4,451.1 2,647.1 1,126.5 2,470.0 3,214.0 4,445.7 2,641.2 1,125.4 Missouri Montana Nebraska Nevada New Hampshire 2,707.5 393.6 905.6 1,035.0 618.7 2,702.8 393.8 906.8 1,037.2 617.8 2,704.3 392.5 907.7 1,041.3 618.7 2,689.2 394.1 907.7 1,046.7 618.0 2,686.6 395.0 908.3 1,050.5 617.7 2,689.5 397.5 905.2 1,049.7 617.2 2,655.7 395.7 903.4 1,056.0 618.4 2,674.7 395.2 905.6 1,059.2 617.4 2,681.7 395.7 907.0 1,057.0 622.5 2,671.1 396.3 909.8 1,057.1 620.7 2,661.7 396.5 907.0 1,054.3 619.7 2,660.1 395.0 904.0 1,056.5 616.7 2,629.8 396.5 899.4 1,056.9 616.6 New Jersey New Mexico New York North Carolina North Dakota 4,003.6 761.5 8,460.3 3,856.5 329.8 4,002.4 761.5 8,460.0 3,846.8 330.1 4,003.0 762.6 8,457.3 3,847.1 328.8 3,993.0 763.3 8,453.6 3,843.4 329.0 3,991.4 764.5 8,457.4 3,843.2 329.5 3,986.9 764.3 8,444.1 3,831.8 330.6 3,982.5 767.8 8,432.4 3,843.0 328.7 3,981.3 767.1 8,432.8 3,844.8 329.6 3,995.1 766.4 8,439.0 3,828.0 331.2 4,000.8 766.4 8,427.2 3,833.3 330.7 3,999.9 770.6 8,420.6 3,837.7 331.5 3,984.6 772.0 8,412.9 3,820.0 330.4 3,986.9 773.0 8,414.7 3,828.3 329.7 Ohio Oklahoma Oregon Pennsylvania Rhode Island 5,466.2 1,491.5 1,569.3 5,653.1 478.0 5,458.6 1,490.2 1,569.6 5,648.5 477.5 5,454.1 1,489.4 1,569.7 5,654.2 478.4 5,450.3 1,486.5 1,570.4 5,652.0 478.7 5,451.8 1,489.5 1,574.0 5,656.9 478.7 5,441.8 1,481.4 1,572.7 5,662.2 479.0 5,469.3 1,455.8 1,580.8 5,651.7 478.9 5,472.2 1,473.4 1,584.2 5,658.8 479.5 5,452.2 1,477.6 1,584.7 5,658.6 480.0 5,441.0 1,479.6 1,584.4 5,647.3 478.3 5,434.6 1,480.1 1,582.7 5,651.3 479.3 5,408.4 1,478.6 1,579.8 5,643.0 480.5 5,403.9 1,471.8 1,572.3 5,632.3 479.4 South Carolina South Dakota Tennessee Texas Utah 1,798.0 375.0 2,662.9 9,432.2 1,082.0 1,798.6 374.6 2,659.3 9,426.3 1,082.3 1,800.1 374.4 2,656.0 9,429.9 1,071.3 1,808.0 375.5 2,668.4 9,432.7 1,074.2 1,808.9 376.8 2,667.3 9,443.1 1,071.7 1,807.5 378.1 2,665.6 9,421.9 1,069.3 1,798.7 378.9 2,671.8 9,413.4 1,071.6 1,812.3 379.1 2,678.2 9,418.8 1,070.6 1,816.8 378.7 2,673.9 9,419.3 1,069.5 1,818.8 381.1 2,666.7 9,431.7 1,070.3 1,821.4 379.7 2,667.2 9,436.3 1,068.0 1,817.3 381.3 2,661.7 9,420.2 1,066.4 1,804.1 375.1 2,664.5 9,428.4 1,076.1 Vermont Virginia Washington West Virginia Wisconsin Wyoming 300.7 3,491.8 2,656.7 733.9 2,786.7 247.5 299.6 3,491.5 2,652.4 734.5 2,779.7 247.5 299.8 3,491.6 2,645.7 734.6 2,780.0 247.4 299.9 3,495.8 2,653.0 733.2 2,780.2 247.4 299.9 3,496.3 2,656.1 731.9 2,782.6 247.6 299.8 3,495.1 2,651.6 731.9 2,778.6 247.3 299.0 3,491.7 2,661.0 731.3 2,794.9 247.5 299.0 3,493.1 2,660.4 732.9 2,790.8 247.3 299.1 3,495.6 2,657.9 731.4 2,780.1 247.3 299.5 3,504.2 2,667.5 731.5 2,781.6 246.3 300.1 3,504.3 2,662.2 727.0 2,773.5 247.5 299.9 3,486.7 2,665.1 728.2 2,764.2 248.3 302.4 3,489.0 2,665.5 732.2 2,770.7 248.1 Alabama Alaska Arizona Arkansas California See footnotes at end of table. 1,886.5 1,887.1 1,886.3 1,883.4 1,886.7 1,888.3 1,887.6 1,891.0 1,887.7 1,883.2 1,880.3 295.4 296.7 294.2 293.3 293.5 293.8 296.3 297.7 297.8 299.5 297.6 2,252.8 2,262.9 2,263.5 2,264.9 2,270.4 2,276.6 2,268.7 2,271.4 2,273.7 2,264.6 2,273.1 1,145.5 1,145.5 1,149.0 1,146.5 1,147.9 1,146.8 1,150.2 1,148.7 1,148.2 1,148.4 1,149.7 14,464.8 14,486.4 14,513.6 14,503.5 14,454.5 14,479.3 14,470.4 14,492.5 14,502.4 14,464.9 14,493.4 (In thousands) 2002 2003 State Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P Construction Alabama Alaska Arizona Arkansas California 101.2 15.5 171.0 54.5 768.2 101.5 15.4 170.9 54.5 773.9 101.7 15.4 171.5 54.4 773.1 99.3 15.4 172.0 54.5 772.2 99.7 15.8 172.5 54.7 773.0 98.7 15.9 171.8 55.1 770.9 99.5 16.0 171.4 55.4 766.3 100.1 16.0 172.3 55.2 771.9 100.6 16.2 172.7 54.6 771.6 101.2 16.0 173.0 54.7 771.7 101.3 16.1 174.5 55.3 781.2 100.4 16.2 174.2 55.7 784.1 98.4 15.5 174.1 56.1 780.7 Colorado Connecticut Delaware 2 District of Columbia 2 Florida 2 160.7 65.1 24.6 11.5 431.7 161.0 65.1 24.5 11.7 431.0 160.6 65.1 24.2 11.6 431.3 162.3 64.6 24.2 11.7 433.4 163.3 64.2 24.2 12.0 434.9 161.5 63.8 24.2 12.2 433.5 160.6 62.8 23.9 12.4 436.0 160.3 62.2 24.2 12.6 435.1 159.0 62.4 23.8 12.8 440.8 158.8 62.7 23.5 12.9 440.9 158.2 62.6 23.8 12.2 441.4 158.5 62.1 23.4 12.4 437.8 156.2 61.0 24.6 12.2 433.1 206.3 (3) 204.4 (3) 203.7 (3) 199.3 (3) 197.6 (3) 195.8 (3) 200.0 (3) 197.5 (3) 198.1 (3) Georgia Hawaii 2 Idaho Illinois Indiana <3) 36.2 278.6 149.4 36.1 276.6 148.3 35.6 274.7 146.2 200.6 35.8 273.0 144.6 (3) 36.8 272.8 143.9 36.1 273.7 143.6 196.7 36.9 273.9 144.4 196.2 (3) 36.5 276.0 140.5 (3) 36.3 275.2 140.5 36.0 276.3 136.6 36.7 277.0 136.8 36.7 277.7 137.5 198.0 36.5 284.4 138.8 Iowa Kansas Kentucky Louisiana Maine 64.7 64.3 85.4 123.0 29.5 64.5 63.5 85.0 120.7 29.2 64.6 63.2 84.3 118.3 29.0 64.6 62.2 83.2 119.3 29.2 64.4 62.4 82.5 118.4 29.1 64.0 62.3 82.1 116.7 29.2 63.8 62.8 81.9 117.8 29.4 63.6 62.6 82.7 117.6 29.4 63.6 62.8 83.0 117.7 29.4 64.2 62.9 82.9 115.3 29.2 65.5 62.6 83.3 117.1 29.5 65.4 64.2 L'3.7 115.7 29.3 65.8 62.1 86.6 116.0 28.8 Maryland 2 Massachusetts Michigan Minnesota Mississippi 168.0 139.9 206.1 123.4 55.9 168.2 139.6 203.6 122.6 54.7 168.0 140.3 201.6 121.5 54.6 167.6 140.3 200.8 122.1 53.5 167.4 141.1 200.9 123.3 54.0 167.1 140.4 200.2 123.3 54.4 166.6 140.2 201.0 123.3 54.0 166.5 139.8 203.4 123.7 53.9 166.8 140.1 200.4 123.4 53.9 165.9 139.9 197.6 122.6 54.9 169.0 140.1 198.8 123.0 55.4 169.0 139.0 199.7 122.5 54.4 166.2 138.2 203.2 120.2 55.2 Missouri Montana Nebraska Nevada New Hampshire 141.1 21.5 44.7 89.4 28.5 139.1 21.5 44.5 89.6 28.4 138.3 20.9 44.7 90.4 28.7 133.0 20.7 44.5 91.9 27.3 132.3 21.3 44.6 92.2 27.1 133.4 21.6 44.4 90.8 26.4 135.1 21.7 44.3 92.5 27.2 134.7 21.9 44.5 93.9 27.3 133.9 21.9 44.6 93.5 28.3 129.7 21.8 44.0 92.9 28.1 130.5 21.9 44.6 92.9 27.9 131.4 22.5 45.1 92.2 28.2 131.0 23.6 44.8 91.8 28.2 New Jersey New Mexico New York North Carolina North Dakota 163.4 47.1 324.3 245.9 15.8 163.1 46.7 324.0 221.8 15.8 162.8 46.5 322.7 220.8 15.4 162.0 46.3 321.3 221.2 15.1 161.8 46.1 320.0 220.5 15.0 161.9 45.3 319.0 218.0 14.8 162.7 44.9 319.8 219.1 15.0 162.4 44.9 320.7 218.4 15.1 161.1 44.4 319.6 216.8 15.2 159.0 44.8 317.0 218.7 15.1 161.1 45.2 319.1 217.2 15.0 159.2 45.2 321.6 216.0 14.9 162.6 46.1 324.1 214.5 14.6 Ohio Oklahoma Oregon Pennsylvania Rhode Island 239.2 65.7 77.9 248.4 19.4 237.6 65.4 78.0 250.6 19.6 236.5 64.7 78.0 251.1 19.9 235.0 64.0 78.1 249.1 19.4 235.2 64.4 78.5 248.9 19.5 235.6 63.9 78.2 248.3 19.6 234.5 64.3 78.5 247.4 19.0 237.3 64.2 78.9 248.7 19.3 237.0 63.9 78.9 248.2 19.2 236.7 63.6 80.0 248.4 19.1 235.9 63.9 80.5 247.5 19.1 233.3 64.0 81.0 248.7 19.3 237.1 65.2 78.5 247.3 19.3 South Carolina South Dakota Tennessee Texas Utah 110.3 18.4 117.1 572 9 69 5 111.2 18.5 116.1 570.6 67.8 111.6 18.3 114.5 572.1 67.9 112.2 18.3 113.8 571.1 68.0 112.7 18.8 113.7 572.7 67.8 112.4 18.5 113.9 570.5 67.2 111.2 18.5 114.0 567.8 67.4 111.9 18.4 114.4 568.3 66.7 111.2 18.5 115.1 566.7 67.0 110.8 19.7 114.2 566.8 67.7 111.4 19.9 114.8 569.8 67.8 110.4 20.1 113.8 571.1 67.8 111.7 19.0 111.8 574.4 67.4 Vermont Virginia Washington West Virginia Wisconsin Wyoming 15.4 214.6 153.8 34.7 124.5 20.2 15.3 214.8 154.2 34.7 123.6 19.8 15.1 214.5 152.1 34.6 122.7 19.8 15.2 214.2 153.6 34.0 123.6 20.1 14.9 214.3 154.9 33.4 124.0 20.2 14.4 213.7 154.2 33.7 123.8 19.8 14.5 214.4 154.8 33.6 123.5 19.4 14.5 214.3 156.8 33.6 124.3 19.9 14.6 213.6 155.5 33.0 122.5 20.0 14.4 212.9 155.7 32.8 122.5 20.1 14.7 210.6 156.0 32.9 121.3 20.5 15.1 205.6 156.1 33.3 121.3 20.9 15.0 206.1 156.2 35.4 122.3 20.4 See footnotes at end of table. (In thousands) 2002 2003 state July Oct. Nov. Dec. Jan.P (3) (33) () (33) () (33) () Jan. Feb. Mar. Apr. May June (33) (33) (33) (33) (33) (33) <33) 189.2 217.0 1,674.2 188.1 216.5 1,665.2 187.0 215.6 1,660.5 186.5 215.0 1,661.3 185.4 215.2 1,658.3 184.1 214.4 1,651.0 183.9 213.8 1,638.7 182.1 212.8 1,629.6 181.6 213.3 1,623.4 180.6 213.5 1,619.3 179.1 213.0 1,611.1 178.8 212.5 1,607.3 178.1 213.2 1,599.1 170.5 217.6 169.3 216.2 168.8 215.1 168.4 214.1 167.9 213.4 167.0 212.0 166.1 213.2 165.7 212.1 164.5 211.7 163.0 210.6 161.4 209.9 161.4 209.3 160.0 209.0 Aug. Sept. (33) () (33) Manufacturing Alabama Alaska Arizona Arkansas California () Colorado Connecticut Delaware District of Columbia Florida <3 ) ( 3) 414.7 412.5 411.1 410.0 (33) () (O3) Iowa Kansas Kentucky Louisiana Maine 230.6 186.4 280.4 162.0 70.1 Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming See footnotes at end of table. () (33) 3 3 () () (33) () 3 () (33) (33) <3> (33) (33) (33) 404.0 401.2 <33) () <3) () () () () 3 (33) 3 3 3 (33) (33) <33) <33) <33) 64.8 748.4 590.5 64.7 747.7 590.1 64.0 747.4 588.3 63.6 747.6 586.5 62.5 745.9 590.2 408.5 407.3 407.9 407.7 () <3 ) <3 ) 64.8 758.1 588.5 64.9 754.5 590.8 65.0 752.2 591.5 64.7 752.2 590.7 228.6 183.9 277.7 161.7 68.7 228.5 183.3 276.4 160.8 68.2 227.9 182.4 275.8 160.9 67.6 159.7 354.0 764.9 360.2 191.7 159.2 351.0 762.2 359.1 190.4 158.9 349.5 760.5 358.6 189.7 326.5 20.0 106.3 325.6 20.1 105.9 324.3 20.2 105.9 ( ) 228.6 185.0 278.7 162.2 68.9 161.2 359.4 762.0 362.5 191.8 160.5 355.7 766.7 361.0 192.4 327.7 20.4 107.5 327.2 20.2 106.9 64.5 763.8 588.1 <) <3) 229.8 185.5 279.4 162.6 69.6 64.6 767.5 587.5 () <) <3) 64.7 761.2 588.0 () <3) () 406.1 404.8 () () 399.7 () () 227.3 180.7 274.5 160.5 68.1 223.7 182.5 274.1 160.4 67.1 226.4 181.3 272.7 159.7 67.3 225.5 181.8 274.0 159.3 67.3 225.9 181.3 273.0 159.6 68.0 225.3 181.5 272.8 160.0 67.2 225.2 181.5 271.9 159.3 64.9 157.6 347.9 760.8 356.9 188.9 155.8 341.7 746.2 354.2 190.0 155.6 343.5 755.3 352.6 187.6 154.8 344.9 755.9 353.1 186.3 155.2 342.8 754.3 352.8 185.0 154.0 341.2 754.8 351.1 184.0 153.9 339.7 752.6 349.8 184.8 154.2 338.1 752.4 349.6 183.5 323.5 20.2 106.0 316.4 20.0 105.5 322.5 19.9 105.9 322.3 19.7 105.5 320.6 18.8 106.1 316.8 19.1 106.4 314.9 18.9 106.1 313.9 18.9 105.1 () () () () (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) 378.8 39.2 669.4 660.7 23.6 376.3 38.8 664.4 656.8 23.7 374.0 38.7 661.8 654.0 23.7 372.0 38.8 659.5 649.5 23.7 370.0 38.7 657.9 646.5 23.6 367.1 38.6 653.0 641.6 23.7 368.5 39.4 650.5 640.2 24.9 366.3 38.4 647.6 636.3 24.9 364.9 38.1 643.7 635.6 23.3 363.4 37.5 642.1 629.7 23.1 362.8 38.2 638.1 628.1 23.1 362.1 38.2 634.3 623.8 23.0 (3) 899.8 (3) 895.4 (3) 891.7 (3) 887.5 (3) (3) 882.7 (3) 880.6 (3) 878.4 (3) <3) (3) 38.9 (3) (3) 38.3 (3) <3) <3) (3) (3) (3) (3) 38.5 (3) <3) (3) 37.2 <3) (3) 37.4 (3) (3> 38.4 (3) 39.5 318.6 283.5 68.5 528.8 39.7 316.8 280.3 68.4 527.6 39.4 319.9 279.3 67.9 526.3 39.2 319.5 276.5 67.5 525.2 38.8 318.6 275.8 67.5 522.4 38.8 315.6 274.0 66.8 524.8 87.4 Ohio Oklahoma Oregon Pennsylvania Rhode Island 3 () 65.3 773.2 588.0 . () (33) () New Jersey New Mexico New York North Carolina North Dakota () (33) () Georgia Hawaii Idaho Illinois Indiana () 204.4 777.2 63.9 977.0 115.9 42.8 325.3 297.4 70.1 537.5 (3) 86.8 203.4 773.9 63.3 969.6 115.1 42.0 324.0 293.6 69.8 533.2 <3) 86.3 202.8 770.3 63.4 (3) 38.4 (3> 963.5 114.6 41.7 323.1 291.5 69.5 531.9 (3) 85.7 890.2 202.9 768.2 62.8 (3) 38.5 (3) 958.9 114.3 41.5 322.5 289.0 69.4 530.1 (3) 85.3 889.7 84.9 (3) <3) (3) <3) <3) () 203.2 766.4 62.8 38.5 954.7 114.3 41.4 321.9 288.2 69.1 529.6 <3) 201.5 765.2 62.6 338.5 950.5 113.7 41.2 321.2 286.2 68.7 527.7 (3) 85.8 882.4 201.5 759.8 62.5 38.6 948.1 113.5 40.5 319.4 287.4 68.6 527.1 (3) 84.9 200.4 759.6 61.9 38.5 944.1 113.0 (3) 84.3 200.4 756.5 61.4 940.3 112.6 (3) 84.4 201.3 752.4 61.0 37.3 936.8 113.0 (3) 83.7 875.7 201.1 749.0 60.8 934.7 111.7 (3) 82.8 872.2 199.3 746.9 60.6 929.9 112.0 (3) (3> 81.1 359.7 37.7 630.8 623.7 23.1 867.2 (3) 199.8 740.8 61.1 930.5 111.6 (3) (In thousands) 2003 2002 State Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P Trade, transportation, and utilities Alabama Alaska Arizona Arkansas California 375.2 60.8 3 () 374.8 61.1 3 () 374.9 61.4 3 () 375.8 61.1 3 () 374.7 61.3 3 () 372.2 61.0 3 () 373.6 61.2 3 () 371.7 60.9 3 () 371.0 60.8 3 () 373.7 61.1 3 () 357.0 61.3 3 () 346.3 61.3 3 () 373.9 60.3 (3) 240.7 2,715.5 241.5 2,715.2 241.8 2,720.2 241.5 2,730.0 241.9 2,734.6 241.2 2,736.3 242.1 2,735.0 241.5 2,737.7 241.9 2,743.1 242.2 2,743.7 242.1 2,740.4 241.5 2,717.9 242.4 2,747.4 411.6 310.4 76.0 411.6 309.8 76.5 412.2 310.4 76.8 413.4 311.8 76.4 414.7 312.0 77.1 415.0 313.4 77.1 413.6 314.0 76.2 412.9 310.1 76.0 412.8 312.4 77.0 411.4 306.6 77.3 411.8 293.3 79.2 415.5 292.2 80.0 412.5 306.8 78.2 Colorado Connecticut Delaware District of Columbia Florida 1,477.5 1,475.2 1,475.9 1,480.1 1,482.8 1,477.7 1,478.2 1,475.7 1,471.9 1,470.0 1,469.2 1,466.0 1,475.4 Georgia Hawaii Idaho Illinois Indiana 839.1 105.7 115.7 1,203.5 585.0 836.7 105.7 115.8 1,200.0 585.1 835.4 105.8 115.8 1,199.1 583.9 841.7 106.3 116.2 1,198.5 581.5 839.8 106.5 116.3 1,198.3 582.2 838.5 106.8 116.1 1,196.5 582.0 834.7 107.0 116.0 1,201.1 585.5 831.8 107.1 116.1 1,199.0 581.4 829.9 107.1 115.7 1,195.5 577.7 833.9 108.2 116.0 1,196.5 579.3 815.8 105.6 116.3 1,198.1 580.6 810.7 103.6 116.4 1,194.3 579.0 827.5 107.5 114.1 1,193.1 578.8 Iowa Kansas Kentucky Louisiana Maine 307.7 268.4 374.0 385.5 123 3 307.2 267.7 374.3 385.3 123.6 307.0 267.1 374.8 385.0 123.9 306.7 268.8 372.8 386.3 124.2 306.1 268.6 372.8 385.9 124.2 306.6 268.5 371.7 386.1 123.9 305.8 267.3 371.2 385.1 124.6 305.3 267.0 370.8 384.2 125.1 305.2 266.4 370.3 383.7 125.4 302.2 267.0 371.9 381.0 125.5 302.2 266.2 369.7 381.7 125.4 302.4 266.2 366.7 382.9 124.9 303.7 267.8 365.3 387.3 123.5 Maryland Massachusetts Michigan Minnesota Mississippi 466.8 581.4 837.6 529.5 220.8 466.3 580.0 836.2 527.2 220.8 467.4 580.6 837.3 526.9 220.4 465.2 580.9 837.5 527.8 221.1 464.8 581.5 838.9 527.8 221.1 465.7 581.6 838.4 527.0 221.7 461.9 577.6 837.3 519.3 225.2 460.5 571.6 839.5 522.0 222.8 460.1 576.8 837.1 524.1 225.5 459.2 577.3 837.0 528.1 223.9 455.0 574.9 844.4 525.2 218.5 450.9 575.8 836.1 526.1 217.5 460.8 577.3 829.3 521.6 221.7 Missouri Montana Nebraska Nevada New Hampshire 543.9 84.5 196.3 189.3 137.5 541.7 84.6 195.8 189.1 137.2 541.8 84.6 195.8 189.6 137.8 539.0 84.8 195.5 191.1 138.1 540.6 85.0 195.5 191.3 138.0 541.4 84.8 195.3 191.4 138.2 544.1 84.9 194.8 189.9 138.7 543.1 84.7 195.0 190.2 139.4 542.9 84.9 196.7 191.2 140.8 542.5 85.0 196.8 192.2 140.4 541.6 85.3 197.2 194.1 139.6 540.0 84.9 198.2 196.0 138.9 538.7 84.1 197.1 191.5 140.7 New Jersey New Mexico New York North Carolina North Dakota 882.5 134.9 1,477.5 726.9 71.7 883.6 135.0 1,476.1 724.2 71.6 885.7 135.0 1,478.8 724.4 71.5 881.5 135.4 1,479.9 724.8 71.3 881.0 135.5 1,479.4 723.5 71.5 881.8 135.7 1,480.0 722.4 71.8 874.9 135.8 1,479.2 718.1 71.8 872.8 135.9 1,477.2 715.2 71.6 884.9 135.9 1,480.1 710.1 71.6 888.9 135.4 1,477.9 707.8 71.7 887.5 135.1 1,478.0 713.7 72.6 883.3 135.6 1,481.1 719.0 72.5 884.6 136.7 1,486.7 720.0 72.9 Ohio Oklahoma Oregon Pennsylvania Rhode Island 1,067.8 287.1 315.0 1,123.1 79.9 1,066.6 287.1 314.9 1,121.2 79.7 1,066.8 287.5 315.1 1,124.4 79.9 1,066.4 287.1 315.6 1,121.1 80.4 1,066.3 286.6 316.3 1,123.2 80.5 1,065.4 285.3 316.1 1,122.5 80.9 1,061.9 284.8 315.5 1,120.1 81.3 1,062.2 284.6 315.6 1,116.9 81.0 1,059.6 284.3 316.2 1,117.3 81.9 1,058.1 284.7 314.4 1,115.4 80.5 1,060.8 286.3 313.3 1,112.4 79.7 1,056.8 285.1 313.4 1,108.6 78.5 1,055.0 283.8 313.2 1,107.6 81.3 South Carolina South Dakota Tennessee Texas Utah 346.7 76.5 580.2 1,973.1 215.9 347.1 76.1 576.8 1,972.0 216.2 347.7 75.9 576.1 1,971.5 215.0 349.4 76.3 575.0 1,971.1 216.1 349.4 76.4 574.9 1,970.7 217.4 349.4 76.8 571.5 1,965.8 216.7 346.4 76.8 579.0 1,964.3 216.9 346.3 76.8 577.0 1,960.5 216.8 345.3 77.1 575.0 1,959.8 216.3 347.1 78.5 573.2 1,961.7 214.7 348.7 78.6 570.5 1,960.8 214.2 349.8 79.5 565.1 1,956.8 212.7 347.7 76.8 575.9 1,955.8 216.7 (3) (3) (3) <3) (3) (3) (3) (3) (3) (3) (3) (3) Vermont Virginia Washington West Virginia Wisconsin Wyoming See footnotes at end of table. (3) 638.1 513.6 138.4 539.4 48.3 (3) 637.5 511.3 138.3 538.5 48.3 (3> 636.1 510.3 138.4 538.4 48.3 (3) <3> 637.9 511.5 137.8 537.6 48.3 (3) 637.3 511.7 137.6 538.2 48.4 (3) 637.6 510.3 137.1 538.0 48.3 (3) 638.1 511.2 136.8 540.0 48.2 (3) 637.7 511.0 136.0 536.6 48.2 (3) 637.2 511.3 135.4 536.9 48.2 (3) 637.0 511.9 136.7 532.4 47.9 (3) 640.0 513.4 135.6 527.5 47.9 (3) 637.8 515.7 135.6 526.0 48.0 (3) 636.6 512.1 137.0 532.7 48.6 (In thousands) 2002 2003 btate Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P Financial activities Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida 97.7 97.4 97.2 97.5 97.9 97.6 97.7 97.7 97.5 97.8 97.4 97.2 97.0 (3) (3) (3) (3) (3) (3) <3) (3) (3) (3) (3) (3) (3) 3 (3) (3) 3 (3) (3) (3) (3) (3) (3) (3) (3) (3) 155.6 49.8 () 148.3 143.6 39.3 156.0 49.6 148.2 143.2 39.0 155.1 49.7 148.0 142.9 39.0 155.6 49.6 () 147.4 142.7 39.0 155.1 49.7 147.6 142.9 38.8 154.7 49.7 147.1 142.8 38.4 155.3 50.0 146.8 143.2 38.1 153.9 50.1 147.4 143.4 37.9 152.6 50.3 147.8 143.3 38.1 152.7 50.1 150.1 143.1 38.3 151.7 50.1 149.5 142.3 38.2 151.2 50.4 147.5 142.6 37.4 155.6 50.1 148.9 141.2 38.1 (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) 214.4 213.4 212.7 212.1 212.1 212.0 211.6 211.7 211.8 212.3 3 210.7 211.2 216.0 472.4 473.0 472.8 473.6 474.4 474.4 475.9 476.7 475.4 474.6 474.4 473.2 476.0 Georgia Hawaii Idaho Illinois Indiana (33) () Iowa Kansas Kentucky Louisiana Maine (3) (3) (3) (3) (3) (3) (3) (3) (3) <3) (3) (3) (3) 3 () 3 () 3 () 3 () 3 () 3 () 3 () 3 () 3 () 3 () 3 () 3 ( ) (3) Maryland Massachusetts Michigan Minnesota Mississippi 150.6 231.8 213.4 169.9 150.9 230.7 213.8 169.8 150.4 229.7 213.9 169.6 150.6 228.5 215.1 169.9 150.6 228.7 214.9 170.2 150.5 228.1 214.0 169.5 150.0 230.0 215.5 169.2 150.3 230.0 216.3 170.6 150.5 229.7 218.0 170.1 150.4 230.4 216.5 170.2 150.1 228.7 215.7 170.0 151.1 229.7 214.9 169.7 152.0 229.9 213.3 170.8 Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming See footnotes at end of table. 401.4 140.8 93.6 84.6 99.8 (3) 160.3 19.1 61.2 54.9 (33) () 400.9 140.5 93.8 84.7 99.5 (3) 160.1 19.2 61.3 55.5 (3) (3) 400.4 139.9 94.0 84.7 99.3 (3) 162.0 19.2 61.4 55.5 (3) (3) 399.8 139.3 94.1 84.7 100.3 (3) 158.8 19.3 61.2 55.7 (3) (3) 399.9 139.2 94.0 84.7 100.2 (3) 158.9 19.3 61.3 55.8 (3) (3) 399.4 139.0 93.8 84.6 99.9 (3) 158.6 19.3 61.2 55.8 (3) (3) 400.3 139.2 93.9 84.4 99.7 (3) 158.8 19.4 61.4 57.4 (3) (3) 399.9 139.0 94.0 84.6 99.8 (3) 159.0 19.2 61.6 56.1 (3) (3) 402.8 138.8 94.0 84.9 99.8 (3) 159.1 19.4 61.8 55.7 <) (3) 402.1 139.0 94.4 83.8 99.0 (3) 157.2 19.7 62.1 55.5 (3) (3) 404.1 139.9 94.0 83.9 99.4 (3) 158.2 19.7 62.2 54.5 3 (3) (3) 403.1 140.5 94.3 84.4 99.5 (3) 158.6 19.7 62.6 56.1 (3) (3) 404.7 141.1 93.5 87.2 100.2 (3) 158.8 19.8 63.0 56.6 (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) <) (3) (3) 280.0 33.6 712.4 279.4 33.4 710.5 278.2 33.4 708.7 276.7 33.4 708.6 275.6 33.5 708.2 274.4 33.3 706.6 276.2 33.7 704.8 275.4 33.9 704.1 275.7 33.9 702.1 277.2 33.8 698.7 276.1 34.3 698.4 276.6 34.6 697.2 277.1 34.8 704.8 (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) <3) (3) 308.4 84.3 94.7 335.8 3 308.7 83.7 94.9 335.7 308.6 83.4 94.5 336.2 307.9 83.2 94.0 335.9 308.2 83.2 94.0 336.4 307.7 83.3 93.9 336.4 307.4 83.5 92.0 335.2 306.6 83.5 91.7 335.2 306.8 83.2 92.8 337.4 305.9 83.5 92.5 337.1 305.9 83.5 91.9 337.7 306.3 83.9 91.6 339.0 3 307.0 84.7 95.8 339.1 17.7 17.9 17.9 17.9 17.9 18.1 17.7 17.8 17.8 17.9 17.7 17.6 18.1 (> (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) <) (3) 88.2 28.1 138.3 580.3 88.2 28.2 138.5 579.9 88.6 28.0 138.3 579.3 89.2 28.0 139.3 578.1 89.7 28.0 139.1 580.7 90.0 27.9 139.2 579.8 91.6 27.8 140.9 579.9 3 90.7 27.9 139.1 581.2 90.8 27.9 137.4 581.2 90.2 27.3 137.0 582.2 90.3 27.4 137.2 581.8 89.6 27.5 137.7 581.5 89.9 27.5 138.8 583.6 (3) (3) 3 180.7 144.7 () 152.4 (3) (3) <) (3) (3) (3) (3) (3) (3) (3) (3) 3 3 3 3 3 3 181.1 144.7 () 152.8 (3) 181.3 144.9 () 152.6 (3) 181.1 145.3 () 153.0 (3) 181.5 145.5 () 153.2 (3) 181.8 145.4 () 153.3 (3) () (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) <) 3 3 3 3 3 182.4 145.2 3 154.4 (3) 182.1 145.7 () 153.4 (3) 182.3 145.7 () 153.8 (3) 182.8 146.7 () 153.9 (3) 183.6 147.6 () 154.0 (3) 182.6 148.5 () 153.4 (3) (3) (3) 184.0 150.0 (3) 152.9 (3) (In thousands) 2002 2003 btate Jan. Feb. Mar. Apr. May 3 3 3 3 3 June July Aug. Sept. Oct. Nov. Dec. Jan.P (3) (3) (3) <3) (3) Professional and business services () (> () () () (3) (3) (3) Alabama Alaska Arizona Arkansas California 22.7 312.1 99.5 2,133.6 22.9 311.5 99.1 2,128.8 22.9 312.7 99.7 2,128.8 22.8 314.8 100.6 2,120.5 22.7 314.6 101.1 2,124.9 22.8 313.0 101.1 2,120.5 23.1 319.2 101.5 2,117.2 24.2 318.5 100.9 2,118.6 23.9 317.8 101.9 2,121.6 23.7 319.5 100.0 2,133.8 23.0 315.0 100.1 2,138.0 23.1 310.5 100.5 2,135.4 23.0 315.8 102.1 2,130.3 Colorado Connecticut Delaware District of Columbia Florida 294.8 204.8 70.1 138.5 1,204.1 295.0 203.9 69.2 138.3 1,207.0 293.9 204.2 67.9 138.9 1,210.7 294.4 203.7 68.5 139.7 1,219.0 294.9 203.3 68.4 140.2 1,222.3 291.7 202.8 67.7 140.1 1,219.7 288.0 201.3 67.3 139.8 1,220.6 289.9 201.7 67.1 140.2 1,222.1 288.6 200.6 66.9 140.6 1,227.8 286.9 201.6 66.5 140.5 1,229.3 281.7 200.2 66.2 138.2 1,239.1 278.3 198.8 65.8 138.3 1,235.4 273.8 198.3 67.1 139.9 1,242.0 Georgia Hawaii Idaho Illinois Indiana (3) Iowa Kansas Kentucky Louisiana Maine (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3> (3) (3) Maryland Massachusetts Michigan Minnesota Mississippi 362.1 462.2 592.3 297.3 362.1 458.1 591.1 297.7 361.4 457.4 589.9 296.3 361.2 457.7 594.9 294.7 362.4 457.3 597.1 295.5 361.1 455.2 595.4 294.4 359.1 457.0 598.9 299.0 361.7 456.3 603.3 299.1 359.6 454.9 598.4 299.9 360.6 449.5 602.3 300.5 364.1 447.2 588.6 296.5 370.9 443.7 579.5 292.6 361.1 438.5 575.3 290.4 Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming See footnotes at end of table. 527.3 67,0 793 4 2503 105.4 152.7 183.0 51.0 524.9 (3) 67.6 788.7 250.5 105.1 152.5 182.9 51.1 523.5 (3) 67.4 781.4 250.4 104.7 152.8 183.1 51.4 523.4 (3) 69.2 785.7 251.3 104.9 153.7 182.9 51.6 524.2 (3) 69.1 783.6 252.5 105.1 154.7 182.3 51.7 521.9 (3) 69.5 778.8 252.6 105.7 154.8 181.8 51.7 518.1 (3) 69.6 788.5 248.8 105.9 155.2 181.4 51.9 516.9 (3) 69.7 796.5 251.6 105.9 156.6 181.4 51.8 515.4 (3) 69.3 795.1 249.9 106.6 155.8 180.6 51.4 512.2 (3) 69.8 793.6 251.1 106.0 154.6 182.8 51.2 514.6 (3) 69.2 792.2 246.8 106.0 154.3 179.1 51.6 510.9 (3) 69.5 790.1 245.2 106.5 153.6 178.6 50.9 524.3 (3) 68.0 786.6 243.2 105.5 153.3 178.8 51.3 (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3> (3) (3) (3) (3) (3) (3) (3) (3) 585.3 89.0 1,059.0 411.8 23.9 584.0 88.8 1,056.5 414.3 23.9 586.0 89.3 1,055.1 413.6 23.9 586.4 88.6 1,055.0 413.8 23.8 585.0 88.8 1,053.2 417.3 23.9 583.5 88.2 1,050.7 416.0 24.1 586.4 89.6 1,048.0 416.0 24.1 588.4 89.1 1,045.5 422.7 24.1 586.8 89.3 1,045.0 421.2 24.3 587.2 89.6 1,047.9 417.8 24.1 583.8 90.7 1,046.6 412.8 24.1 579.7 91.2 1,044.7 411.5 24.1 576.8 90.7 1,037.2 415.5 24.0 616.9 163.5 171.0 603.1 49.8 614.8 163.2 171.1 601.9 49.4 614.0 162.8 171.0 602.6 49.4 613.6 163.0 171.3 606.0 49.4 614.4 163.8 172.4 605.7 49.2 611.5 161.4 173.2 607.1 49.4 618.1 159.1 174.6 602.1 50.0 619.7 159.7 177.0 604.5 48.9 620.5 159.7 175.5 607.2 48.4 618.8 159.2 173.1 607.8 48.3 614.5 158.5 171.9 608.6 48.1 608.6 158.3 171.1 602.8 48.2 615.6 159.3 170.7 595.1 47.4 (33) () (33) () (33) () (33) () (33) () (33) () (33) () (33> () (33) () (33) (3) (3> 32.6 91.4 112.1 32.4 92.0 111.4 32.1 92.8 112.0 32.0 93.0 112.4 (33) () 31.8 92.7 112.5 (3) (3) 31.9 91.8 111.8 31.8 92.0 114.9 32.1 91.5 115.7 32.4 90.6 115.3 32.8 91.5 114.5 32.5 89.2 113.5 32.4 88.5 114.2 <> 32.3 88.4 116.2 302.2 1,059.3 133.1 299.0 1,055.3 135.9 299.0 1,054.2 131.5 306.8 1,057.8 131.8 307.6 1,060.2 132.8 308.4 1,051.9 131.3 310.2 1,051.1 131.7 312.3 1,056.1 131.7 310.0 1,053.6 132.5 309.5 1,055.3 133.8 310.1 1,051.9 133.4 312.4 1,045.8 132.5 308.4 1,047.8 131.2 20.0 547.2 287.2 56.5 237.7 15.6 19.8 548.4 287.9 56.2 237.6 15.6 19.8 548.4 286.9 56.2 239.4 15.5 20.1 549.1 288.4 56.7 241.5 15.5 20.4 548.9 288.9 56.7 241.0 15.5 20.2 546.2 289.1 56.6 240.5 15.5 20.2 547.2 290.9 57.2 242.7 15.6 20.3 546.7 293.0 57.6 239.7 15.6 20.7 545.2 293.0 57.2 241.2 15.5 21.1 545.2 291.7 57.6 241.7 15.4 21.0 544.8 289.3 56.8 240.2 15.3 20.6 541.3 289.2 57.7 238.2 15.2 20.4 543.4 289.4 58.3 239.7 15.0 (In thousands) 2002 2003 State Jan. Feb. Mar. Apr. May 3 3 3 3 3 June July Aug. Sept. Oct. Nov. Dec. Jan P (3) (3) <3) (3) <3) Education and health services Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida () () () () (3) (3) (3) 29.4 228.3 133.5 1,482.7 29.6 229.0 134.3 1,486.2 29.9 229.8 134.7 1,490.9 30.1 231.5 135.2 1,495.7 30.3 231.8 135.5 1,497.0 30.6 231.3 135.7 1,499.8 30.8 235.9 136.2 1,503.8 30.5 236.6 136.4 1,508.5 30.7 238.5 136.6 1,511.6 30.7 239.2 136.6 1,519.1 30.8 240.3 137.0 1,513.7 30.6 239.6 137.7 1,510.0 205.3 256.9 48.0 3 205.5 257.8 48.1 206.1 257.9 48.0 207.3 259.5 48.3 208.2 259.1 48.5 208.2 258.1 48.6 209.4 254.4 49.8 210.1 253.2 49.6 210.6 259.9 49.6 210.8 263.8 49.7 211.1 264.3 49.7 211.0 263.8 49.2 211.8 260.3 49.3 <) (3> (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) 3 3 3 3 3 3 3 3 3 3 3 3 845.4 847.6 () 62.6 (3) 852.7 () 62.7 (3) (> 62.5 (3) Iowa Kansas Kentucky Louisiana Maine (3) (3) (3) Maryland Massachusetts Michigan Minnesota Mississippi 327.7 563.1 524.3 349.6 111.5 329.4 563.3 525.3 352.0 111.6 329.4 565.6 526.7 352.8 112.0 328.8 566.6 530.0 354.1 112.5 Missouri Montana Nebraska Nevada New Hampshire 348.2 51.5 110.7 348.5 51.4 111.8 348.1 51.6 112.8 348.1 51.8 113.1 3 704.7 344.2 186.7 219.0 232.1 103.4 () 62.6 (3) 850.2 Georgia Hawaii Idaho Illinois Indiana New Jersey New Mexico New York North Carolina North Dakota () 29.3 228.3 133.9 1,479.2 706.2 343.6 186.8 218.6 232.2 103.7 706.8 343.6 186.5 218.9 232.6 104.2 707.9 343.6 186.9 (3) 220.2 233.7 104.9 855.5 856.7 <) <) (3) (3) 62.9 710.0 343.9 187.3 62.8 710.4 343.8 187.1 863.5 () 62.9 (3) 711.3 350.4 187.5 865.9 () 62.9 (3) 713.8 347.5 187.6 867.3 () 63.4 (3) 716.5 349.4 188.3 870.4 () 63.9 (3) 716.9 351.1 189.6 870.2 867.8 () ( ) 64.0 63.3 (3) ~ ( 3 ) 713.5 351.8 712.2 352.0 188.8 189.3 (3) 868.3 (3) 64.1 (3) 717.5 349.9 189.8 (3) (3) (3) (3) (3) (3) (3) (3) 329.8 567.4 531.5 355.9 112.7 330.3 567.6 532.9 355.9 113.1 329.7 567.0 537.1 357.2 110.3 330.4 568.5 537.3 357.8 110.9 331.7 569.6 534.8 356.2 112.3 333.1 569.0 533.6 357.7 112.0 334.2 569.8 535.1 358.1 113.0 334.6 570.7 536.4 357.7 113.3 337.9 570.2 537.8 363.0 112.3 349.4 52.0 114.1 348.3 52.1 111.3 3 339.5 51.8 108.2 340.5 51.9 108.5 353.2 52.1 110.1 352.3 52.3 111.8 351.2 51.9 112.0 352.3 52.1 111.3 344.8 51.9 108.9 <3) 220.9 234.1 105.1 221.6 234.2 105.1 222.0 234.3 105.0 222.3 237.1 105.0 223.0 238.2 104.6 224.0 239.2 104.6 (3) <3) (3) (3) (3) (O3) 526.5 93.3 1,457.2 414.8 46.7 531.3 93.8 1,461.0 412.9 47.3 532.2 94.4 1,465.9 419.7 47.2 533.1 94.9 1,476.4 413.7 46.8 709.4 172.4 184.6 967.2 707.6 172.5 187.2 975.5 708.6 173.7 187.6 973.6 710.6 173.6 187.8 967.7 (33) () (33) () (33) () <3 ) () (33) () <3 ) 521.3 91.2 1,440.9 410.0 46.6 523.5 91.4 1,447.3 411.3 46.4 523.4 92.0 1,451.3 412.0 46.1 523.6 92.9 1,453.0 413.5 46.5 525.2 93.2 1,456.0 414.6 46.7 706.0 170.9 182.7 958.4 707.9 171.1 183.1 957.9 708.5 171.0 184.0 960.4 709.7 172.2 185.3 962.1 710.5 172.2 185.4 964.0 () <S> 225.0 240.0 105.4 225.7 240.3 105.6 226.0 242.8 106.2 (3) (3) (3) 533.1 95.3 1,476.0 412.4 46.6 535.7 95.5 1,477.5 415.4 46.9 534.3 95.5 1,471.5 413.1 47.0 537.0 96.4 1,465.6 412.0 47.1 714.1 173.9 188.3 964.8 3 716.6 175.2 188.2 970.1 717.9 175.1 188.1 972.4 713.5 173.9 186.1 978.2 O (33) ( ) Ohio Oklahoma Oregon Pennsylvania Rhode Island (3) (3) (3) (3) (3) (3) (3) (3) (3) <) (3) (3) (3) South Carolina South Dakota Tennessee Texas Utah 169.5 53.5 292.0 1,064.0 112.0 170.2 53.5 292.6 1,069.0 111.9 171.3 53.6 293.7 1,071.6 112.2 171.9 53.5 295.2 1,075.9 112.7 172.5 53.6 296.3 1,080.1 112.4 172.5 53.9 297.2 1,082.7 113.1 172.2 54.0 297.0 1,087.0 113.8 172.1 54.2 299.2 1,091.3 114.9 176.5 54.3 302.9 1,093.3 115.7 177.8 54.8 303.6 1,096.7 117.4 179.1 54.7 304.3 1,100.3 117.8 178.8 54.9 304.6 1,105.2 118.0 173.4 54.8 303.4 1,108.7 117.4 49.2 355.3 303.3 106.0 353.2 49.2 356.7 304.1 106.6 352.7 49.5 357.9 305.0 106.6 352.5 49.8 359.5 306.4 106.4 354.6 50.2 360.1 307.3 106.8 356.1 50.3 361.0 306.9 106.6 358.5 50.4 355.1 306.6 107.6 361.6 50.5 358.0 307.5 107.2 361.7 50.6 366.3 308.4 107.3 359.2 50.5 367.2 307.3 106.5 358.6 3 50.6 368.2 308.8 106.6 358.2 51.0 367.9 310.0 106.5 358.5 52.2 369.8 311.7 108.7 360.2 Vermont Virginia Washington West Virginia Wisconsin Wyoming See footnotes at end of table. (3) (3) (3) (3) (3) (3) (3) (3) (3) <) (3) (3) (3) (In thousands) 2003 2002 State Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P Leisure and hospitality Alabama Alaska Arizona Arkansas California 151.2 28.5 226.8 86.9 1,365.4 245.1 151.3 28.8 226.9 87.1 1,366.5 244.8 151.1 28.7 227.2 86.8 1,367.7 243.7 150.9 29.0 230.4 86.8 1,387.3 247.1 152.1 29.1 231.5 87.6 1,390.7 249.2 151.4 28.9 230.9 87.3 1,390.9 248.3 151.9 29.0 231.5 87.5 1,378.9 247.0 152.3 28.9 229.8 87.9 1,380.6 247.4 152.6 29.0 228.8 88.0 1,380.1 247.5 154.4 29.2 229.7 87.6 1,389.5 245.5 155.8 29.5 229.7 87.0 1,384.9 247.4 157.1 29.4 229.2 87.0 1,382.9 246.4 156.4 29.1 230.6 86.4 1,404.2 251.5 Colorado Connecticut Delaware District of Columbia Florida (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) Georgia Hawaii Idaho Illinois Indiana 335.9 96.0 52.7 488.7 267.1 334.7 96.2 52.7 487.0 266.6 336.0 96.5 52.6 486.2 265.5 341.9 96.9 53.0 488.0 266.8 341.8 97.6 53.1 490.6 268.0 340.6 97.6 53.2 491.1 267.9 338.2 97.6 53.3 494.9 273.9 336.8 97.8 53.4 497.5 271.1 336.9 97.5 53.7 500.2 272.9 339.4 97.3 53.6 504.6 273.8 338.7 97.3 53.6 502.5 267.2 336.1 98.6 54.4 501.2 263.4 335.5 99.1 54.0 493.6 265.2 (3) (3) (3) (3> (3) (3> (3) (3) (3) (3) (3) (3) (3) Maryland Massachusetts Michigan Minnesota Mississippi 211.8 279.3 393.4 228.9 121.0 212.2 279.5 392.5 227.7 121.3 213.4 281.1 394.8 227.3 121.2 214.2 282.9 395.9 228.4 121.7 215.3 284.8 397.2 229.1 122.1 215.7 284.2 397.0 229.1 122.3 215.5 298.4 404.1 230.2 124.9 216.3 298.8 395.7 232.4 124.6 216.8 290.3 394.0 230.6 124.0 214.9 284.6 389.7 228.8 123.8 215.9 280.6 382.5 229.4 123.4 217.2 279.1 382.0 230.2 120.6 205.6 280.9 388.2 232.5 119.8 Missouri Montana Nebraska Nevada New Hampshire 259.8 50.5 76.2 294.8 59.9 258.5 50.7 76.1 295.0 59.9 258.7 50.4 76.1 296.1 60.4 259.8 51.2 76.5 297.0 60.6 258.6 50.8 76.1 297.7 60.7 260.4 50.7 76.8 297.8 60.5 259.9 50.8 79.4 300.3 62.1 260.8 50.7 79.9 300.4 61.4 260.3 50.6 78.7 298.7 61.7 256.4 51.5 77.7 297.5 60.6 254.9 51.8 75.7 294.9 60.2 255.8 51.1 72.9 293.5 61.1 254.6 52.2 72.5 297.0 62.0 New Jersey New Mexico New York North Carolina North Dakota 307.4 78.9 633.2 325.0 29.7 307.5 79.1 634.3 325.9 30.0 308.2 79.4 635.8 327.6 29.6 309.0 80.0 639.0 330.4 29.7 309.1 80.4 638.9 331.3 29.6 309.1 80.3 637.5 331.0 29.8 309.8 80.8 640.2 322.4 30.9 309.1 80.7 641.8 324.0 30.9 308.4 80.5 640.4 324.0 30.7 310.8 79.1 641.6 321.4 30.3 311.0 79.7 638.4 324.5 29.9 309.5 80.1 639.2 323.4 29.4 310.0 79.5 646.9 328.5 29.5 Ohio Oklahoma Oregon Pennsylvania Rhode Island 484.5 126.6 148.7 460.4 47.0 484.2 126.7 148.6 460.1 47.2 484.4 127.3 148.5 462.8 47.7 485.3 126.8 149.0 463.6 47.9 485.7 127.8 149.4 465.7 48.1 485.3 127.4 149.7 465.3 47.9 510.1 127.9 152.8 466.5 49.3 508.5 128.4 153.6 469.9 49.2 497.1 128.1 154.4 469.7 48.9 490.0 127.5 156.0 465.4 48.8 483.8 126.1 157.7 466.6 48.2 476.3 125.4 156.9 465.2 48.0 473.3 124.0 151.2 467.2 48.1 South Carolina South Dakota Tennessee Texas Utah 184.9 38.7 236.8 837.1 103.3 185.3 38.8 237.3 839.0 107.9 185.8 38.9 236.9 842.4 102.5 187.5 39.2 238.3 844.1 102.2 188.0 39.4 237.4 849.1 99.5 188.1 39.4 237.5 846.6 99.3 182.4 39.8 239.5 845.7 99.0 179.3 39.8 242.1 849.3 98.7 183.9 39.8 240.0 850.1 98.5 186.8 40.1 238.2 847.8 97.3 190.2 39.8 237.9 847.1 96.7 194.4 39.1 236.9 847.4 99.1 197.5 37.2 238.2 846.0 100.0 (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) (3) <3) (3) Iowa Kansas Kentucky Louisiana Maine Vermont Virginia Washington West Virginia Wisconsin Wyoming See footnotes at end of table. 36.1 46.6 788.9 108.8 152.7 193.2 56.6 299.5 244.0 63.4 240.3 30.1 36.2 46.8 789.7 108.5 152.8 193.5 56.8 300.4 242.9 63.7 239.0 30.3 36.2 47.3 791.3 108.8 153.4 193.7 57.0 301.1 242.8 63.8 238.3 30.1 37.6 47.7 795.6 108.4 153.0 195.6 56.9 302.9 243.9 63.7 237.6 30.5 37.7 48.2 796.3 108.4 154.1 195.0 57.1 303.1 244.3 64.0 238.6 30.2 38.1 47.9 798.0 108.1 153.1 195.0 56.8 303.4 245.1 63.8 238.3 30.0 38.5 48.3 805.9 109.1 153.4 196.0 57.7 305.5 246.9 65.0 245.4 30.2 38.1 48.5 809.0 109.6 153.2 196.0 57.5 306.0 246.2 64.8 244.9 29.8 38.6 48.3 805.4 109.1 152.3 195.5 56.3 305.4 244.1 64.8 239.9 30.4 38.4 48.6 805.4 108.3 152.9 193.7 56.3 309.8 248.9 65.2 238.0 29.7 38.8 48.2 810.5 108.3 153.6 193.5 56.4 307.2 247.1 63.4 236.4 29.7 37.9 48.0 812.1 108.1 154.2 194.2 56.4 304.3 245.1 63.4 237.6 30.6 37.9 48.4 810.2 107.3 161.1 193.7 57.7 305.7 246.3 63.8 239.7 30.6 (In thousands) 2002 2003 State Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P Government Alabama Alaska Arizona Arkansas California 352.2 79.6 385.0 195.1 2,426.3 352.3 80.1 384.7 195.6 2,431.3 352.4 80.1 385.0 195.5 2,438.0 353.2 80.1 387.0 195.1 2,442.6 353.5 80.3 384.4 195.5 2,445.6 354.0 81.0 390.3 193.2 2,448.6 352.2 81.0 386.9 193.2 2,452.4 355.2 81.2 394.4 193.8 2,456.1 355.8 81.6 387.2 195.6 2,455.2 354.9 82.2 388.2 196.3 2,454.4 354.8 82.1 394.0 196.5 2,457.5 355.0 82.5 390.6 196.3 2,460.3 355.6 82.5 387.6 195.3 2,469.5 Colorado Connecticut Delaware District of Columbia Florida 351.0 250.0 56.5 231.5 1,028.8 351.6 250.2 57.0 231.6 1,028.8 353.6 250.1 56.5 232.2 1,030.3 354.2 249.7 56.1 232.0 1,030.6 355.6 250.2 56.1 231.6 1,036.7 356.2 250.6 55.5 231.6 1,042.2 358.4 246.2 53.9 231.3 1,038.5 360.2 251.2 53.6 232.6 1,038.6 361.1 248.3 57.2 231.5 1,051.3 365.0 245.6 56.7 230.7 1,056.9 365.9 247.5 56.7 228.8 1,065.2 366.3 246.4 56.5 230.1 1,057.5 366.8 249.4 56.2 232.3 1,063.3 Georgia Hawaii Idaho Illinois Indiana 620.0 117.1 111.6 861.7 409.5 621.0 117.4 111.6 860.1 411.2 621.3 117.6 111.6 860.8 409.2 623.0 113.4 111.4 863.4 408.3 624.0 117.7 111.9 864.1 408.1 622.7 120.7 112.0 863.4 406.5 625.7 117.7 111.8 857.2 414.8 629.5 118.0 111.6 858.2 418.3 631.9 118.4 111.9 859.2 417.3 630.2 119.5 111.5 862.0 419.3 632.6 119.3 112.4 860.6 421.0 632.2 119.5 112.0 865.8 418.1 631.4 120.7 113.1 862.0 418.0 Iowa Kansas Kentucky Louisiana Maine 245.1 252.1 315.3 372.8 102.5 244.8 250.2 312.6 372.4 102.5 244.5 250.5 312.7 372.3 102.6 244.4 249.3 313.6 372.7 102.5 244.4 250.9 312.4 374.2 103.4 244.1 253.6 313.3 376.2 103.5 242.9 251.7 311.4 375.2 103.7 242.4 253.0 313.3 376.4 103.0 243.5 251.5 313.2 375.7 102.9 243.8 252.5 313.1 375.6 103.1 244.3 253.0 313.9 376.3 102.5 244.5 252.2 312.9 376.6 103.1 242.0 253.4 315.1 378.3 103.5 Maryland Massachusetts Michigan Minnesota Mississippi 459.2 431.3 689.2 403.8 237.8 459.8 430.3 687.0 402.9 238.0 460.7 430.2 684.9 401.9 238.1 459.1 428.4 679.7 399.1 238.6 460.1 427.9 681.5 399.6 238.9 460.6 427.4 682.5 404.0 239.8 447.6 430.2 670.4 408.5 244.6 461.8 429.4 678.7 403.8 244.2 463.4 430.2 686.3 406.7 242.1 463.3 429.9 691.4 406.0 242.3 463.4 429.6 694.2 407.4 243.2 463.1 428.9 690.8 406.7 243.0 463.5 426.1 688.2 404.5 244.0 Missouri Montana Nebraska Nevada New Hampshire 429.6 84.0 158.1 127.7 86.9 427.6 84.2 158.9 128.8 88.1 427.1 84.0 158.5 129.0 88.3 426.7 84.2 158.5 128.8 88.0 425.7 84.4 158.7 130.0 88.4 425.3 86.3 159.0 130.9 89.0 405.7 84.9 158.0 130.5 87.4 416.6 84.5 158.6 131.2 87.7 414.6 84.5 159.4 131.5 90.0 416.9 84.1 160.7 133.1 87.9 416.5 84.0 160.0 133.2 87.9 417.7 83.0 160.5 133.6 85.3 415.8 83.4 160.3 133.8 84.8 613.8 188.5 1,489.2 636.2 74.2 614.6 189.0 1,491.8 637.5 74.2 615.1 188.9 1,492.5 637.4 74.2 615.0 188.8 1,486.1 636.4 74.4 616.5 189.2 1,489.1 638.1 74.7 616.8 190.7 1,489.6 628.3 75.0 608.0 190.7 1,485.9 656.0 70.5 611.3 190.8 1,486.2 646.9 71.7 617.8 190.9 1,489.9 647.2 75.2 617.4 192.0 1,484.3 657.7 75.7 617.8 192.8 1,482.5 659.3 75.8 618.2 192.9 1,482.2 654.1 75.8 618.7 192.9 1,484.4 655.2 74.6 798.6 298.7 272.8 738.1 66.0 799.8 298.6 272.9 738.2 66.0 800.0 298.3 273.3 736.9 66.0 799.5 298.7 272.7 737.3 66.2 799.7 299.7 272.9 737.7 66.1 797.3 296.7 273.8 741.4 66.1 803.1 274.5 275.1 734.3 66.5 801.9 290.5 275.4 739.4 66.5 797.8 297.8 274.8 744.4 66.0 796.0 298.8 274.3 746.5 65.9 797.4 298.4 274.5 748.9 66.2 795.7 298.1 274.3 748.1 66.1 797.3 297.1 273.3 747.9 66.1 324.3 73.4 408.2 1,609.3 195.8 324.3 73.4 408.7 1,612.6 192.0 324.2 73.3 408.9 1,615.8 193.2 324.9 73.3 409.6 1,618.2 193.3 325.6 73.6 409.9 1,622.2 192.6 322.7 74.2 409.5 1,623.4 194.5 315.4 74.8 407.4 1,622.3 197.1 335.0 74.7 409.2 1,625.0 196.8 334.6 74.4 411.1 1,628.4 195.0 335.0 75.1 409.6 1,638.5 195.6 336.0 75.1 410.6 1,643.3 195.9 336.0 75.3 410.1 1,637.8 196.0 332.1 74.7 412.9 1,640.6 197.1 51.0 632.5 512.0 141.9 413.7 61.8 50.6 631.5 513.4 142.0 414.9 61.9 50.6 632.5 512.5 142.2 416.9 62.1 50.8 632.7 514.0 142.1 414.8 62.1 50.7 634.5 514.7 141.1 414.3 62.1 51.1 635.7 514.2 142.4 410.9 62.9 50.6 636.8 517.4 139.7 409.8 62.7 50.9 637.4 516.4 142.2 410.6 62.7 50.9 637.7 519.6 142.9 408.9 62.8 51.1 638.7 526.1 142.1 418.3 62.6 51.2 638.0 524.1 142.4 420.0 62.4 50.4 634.1 525.4 142.2 418.0 62.1 52.0 639.3 525.3 141.1 407.7 63.0 New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 1 Includes natural resources and mining, information, and other services, not shown separately. 2 Natural resources and mining is combined with construction. 3 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: Data reflect the conversion to the 2002 version of the North American Industry Classification System (NAICS) as the basis for the assignment and tabulation of economic data by industry, replacing the 1987 Standard Industrial Classification (SIC) system. Due to differences in NAICS and SIC structures, NAICS-based data by industry are not comparable with the SIC-based data. In addition, data reflect March 2002 benchmaark levels, the completion of the conversion of the survey sample from a quota-based basis to a probability-based basis, and a modification to the seasonal adjustment process. See the article, "Revisions to the Current Employment Statistics State and Area Estimates Effective January 2003," in this issue for additional information on the changes. 2002 2003 Industry Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan. P Feb. P 34.2 34.2 34.2 34.2 34.3 34.0 34.1 34.2 34.2 34.2 34.1 34.3 34.1 40.4 40.5 40.4 40.3 40.5 40.0 40.3 40.3 40.1 39.9 40.2 40.5 39.8 Mining 43.4 43.3 42.4 43.0 43.3 42.7 43.3 42.8 42.7 43.1 42.1 42.7 42.8 Construction 39.4 39.1 39.0 38.7 39.0 38.2 38.6 38.8 38.4 38.2 38.4 39.5 37.4 Manufacturing Overtime hours 40.7 3.9 41.0 4.1 40.9 4.2 40.9 4.2 41.1 4.3 40.7 4.0 40.9 4.2 40.8 4.1 40.7 4.1 40.6 4.0 40.9 4.2 40.8 4.1 40.8 4.2 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 41.1 3.9 40.9 40.3 44.1 43.8 44.8 41.6 401 38.9 42.3 43.7 40.4 38.4 41.3 4.1 41.1 40.6 43.6 44.4 45.5 41.7 40.5 39.4 42.4 43.9 40.6 38.8 41.4 4.1 40.8 40.8 43.8 44.3 45.1 41.6 40.6 39.5 42.6 44.4 40.4 38.8 41.3 4.1 40.8 40.4 43.4 44.1 45.6 41.9 40.7 39.4 42.3 44.2 40.4 38.8 41.5 4.2 41.0 40.2 43.7 44.6 46.1 42.0 40.9 39.4 42.5 44.1 40.9 39.6 41.0 3.9 41.2 40.1 43.2 44.1 45.5 41.7 40.3 38.7 41.7 42.9 40.4 38.4 41.2 4.1 41.0 40.3 43.3 44.3 45.8 41.7 40.8 38.7 42.2 43.8 40.7 38.5 41.3 4.1 41.1 40.2 43.4 44.2 46.0 41.6 40.7 38.8 42.6 44.3 40.8 38.6 41.2 4.2 41.0 39.6 43.4 44.7 46.2 41.6 40.5 38.3 42.6 44.4 40.7 38.9 41.0 4.0 40.6 39.5 42.9 44.3 45.4 41.3 40.3 38.7 42.2 44.0 40.6 38.5 41.3 4.2 41.2 40.7 43.1 44.7 46.5 41.2 40.6 39.0 42.5 44.4 40.9 38.8 41.4 4.1 41.1 40.2 43.6 44.3 44.8 41.6 40.8 38.6 43.0 45.2 40.8 39.0 41.2 4.2 41.0 39.7 43.1 44.7 44.9 41.4 41.0 38.9 42.0 43.5 40.7 38.1 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 40.2 3.9 41.0 41.4 40.9 36.7 41.5 37.4 41.9 (2) 40.9 37.2 40.4 4.2 41.4 41.2 41.4 37.4 41.5 37.5 42.0 (2) 41.1 37.3 40.3 4.3 41.2 41.3 41.5 37.1 41.6 37.2 41.8 (2) 41.6 37.5 40.4 4.3 41.2 41.6 41.4 37.0 41.9 37.5 42.3 (2) 41.2 36.7 40.6 4.3 41.6 41.1 41.5 37.0 41.6 37.7 42.5 (2) 41.5 36.8 40.2 4.2 41.0 42.1 41.6 36.8 41.2 37.3 42.1 (2) 41.0 36.7 40.5 4.2 41.3 40.3 41.8 36.8 41.7 37.7 42.6 (2) 41.2 35.7 40.2 4.0 40.8 39.9 41.2 36.9 41.4 37.5 42.4 (2) 40.8 35.6 40.1 4.1 40.8 40.4 40.9 36.6 41.3 37.4 42.2 (2) 40.9 36.3 40.1 4.0 41.0 39.6 40.9 36.6 41.5 37.1 42.2 (2) 40.7 37.0 40.4 4.2 41.4 39.5 41.2 36.7 41.8 37.7 42.1 (2) 40.8 37.1 40.1 4.0 40.8 40.7 40.5 36.6 42.0 37.8 41.7 (2) 40.5 37.0 40.2 4.1 40.7 41.0 40.7 36.7 42.3 37.8 42.5 (2) 40.4 36.7 32.7 32.8 32.7 32.8 32.8 32.6 32.7 32.8 32.8 32.9 32.8 32.9 32.8 Transportation and public utilities 38.1 38.2 38.2 38.4 38.3 38.3 38.4 38.5 38.4 38.5 38.3 38.3 38.3 Wholesale trade 38.3 38.4 38.3 38.3 38.6 38.4 38.5 38.5 38.6 38.5 38.5 38.4 38.6 Retail trade 29.0 29.1 29.0 29.1 29.1 28.8 28.9 29.0 29.1 29.2 29.2 29.3 29.1 Finance, insurance, and real estate 36.2 36.2 36.1 36.1 36.0 36.0 36.2 36.1 36.0 36.2 36.0 36.3 36.2 Services 32.6 32.6 32.6 32.6 32.7 32.5 32.6 32.8 32.7 32.7 32.6 32.7 32.6 Total private Goods-producing Service-producing 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, can not be separated with sufficient precision. P = preliminary. NOTE: Establishment survey estimates currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. (1982=100) 2003 2002 Industry Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P Feb.P 148.1 148.0 148.0 148.0 148.4 147.4 147.9 148.3 148.1 147.9 147.7 148.5 147.0 106.1 105.5 105.4 105.0 105.7 104.1 104.8 104.4 103.7 103.0 103.3 104.1 101.7 54.6 54.0 53.5 53.7 53.7 52.5 53.7 52.7 52.3 52.3 51.3 51.8 52.3 182.3 178.1 178.3 176.4 178.4 173.8 176.4 177.2 175.2 174.4 175.4 180.2 168.6 92.8 93.0 92.9 92.8 93.2 92.3 92.5 91.9 91.5 90.8 91.0 91.0 90.3 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 Electronic and other electrical equipment Transportation equipment Motor vehicles and equipment Instruments and related products Miscellaneous manfacturing 95.4 134.1 121.9 114.6 76.4 57.9 109.0 82.6 82.5 106.2 142.8 68.7 89.3 95.5 134.7 123.2 113.1 76.7 58.4 109.2 83.1 83.1 105.5 143.0 68.6 90.2 95.5 133.3 124.7 113.6 76.7 58.3 109.1 83.1 82.9 105.7 144.2 68.2 90.2 95.4 134.4 122.9 112.6 76.4 58.9 110.1 82.8 82.2 105.6 144.0 67.9 90.6 95.6 134.0 122.9 113.3 76.6 59.2 110.2 83.1 81.7 106.4 144.7 68.2 92.1 94.5 134.8 123.2 112.3 75.4 58.4 109.9 81.9 80.4 103.7 139.6 67.9 90.4 94.8 134.2 123.5 114.1 75.9 59.6 108.9 82.3 79.1 106.4 145.7 67.3 89.9 94.2 134.1 121.0 113.9 75.1 59.0 108.2 81.7 78.2 105.6 144.5 67.7 90.8 93.7 133.8 119.2 113.9 75.7 59.3 108.3 81.0 76.5 105.5 144.6 67.0 90.8 92.7 131.8 118.9 112.3 75.1 57.9 106.5 80.2 76.4 103.7 142.3 66.7 90.6 92.8 133.5 120.9 112.0 75.4 59.3 105.7 80.1 76.5 104.0 142.5 66.6 89.8 93.2 133.6 118.5 113.3 74.7 57.5 106.4 80.3 75.6 106.8 147.7 67.0 90.3 92.0 132.5 115.8 111.5 74.9 57.6 105.1 80.1 75.1 103.7 141.1 66.5 87.5 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 89.3 114.8 51.3 62.0 43.7 95.5 107.4 94.2 71.8 132.6 23.4 89.6 115.5 51.0 62.4 44.1 95.5 106.8 94.4 70.9 133.8 23.5 89.3 115.4 49.1 62.1 43.7 94.9 106.0 93.6 67.9 135.1 23.6 89.4 115.6 51.5 61.6 43.4 95.0 106.2 95.1 70.9 133.8 23.1 89.9 117.1 52.9 61.6 43.5 94.5 106.8 95.7 70.7 135.2 22.6 89.1 114.9 54.2 61.4 43.5 93.4 105.7 94.8 71.6 135.0 23.7 89.4 115.8 57.9 61.3 43.4 94.5 106.2 95.6 69.4 134.4 21.9 88.9 114.9 53.3 60.1 43.1 93.7 106.0 95.3 72.9 132.9 24.1 88.4 114.2 54.0 59.8 42.2 93.6 105.7 94.8 72.0 132.8 24.5 88.2 114.9 52.9 59.5 42.1 94.1 104.3 94.7 71.2 131.6 23.9 88.5 116.3 50.9 59.9 41.9 93.5 105.4 94.6 70.5 131.0 23.4 87.9 115.3 50.4 58.9 41.7 93.6 105.8 93.7 70.8 130.1 22.7 88.1 114.6 50.8 58.3 41.8 94.2 106.2 94.8 75.1 130.1 21.4 167.0 167.1 167.2 167.3 167.6 166.8 167.1 168.0 168.0 168.0 167.6 168.4 167.4 Transportation and public utilities 132.7 132.3 132.0 132.3 131.8 131.5 131.5 131.4 130.9 131.1 130.0 129.7 128.9 Wholesale trade 125.6 125.9 125.7 125.7 126.7 125.9 126.2 126.1 126.3 125.6 125.6 125.0 125.7 Retail trade 146.8 147.3 146.8 147.1 147.1 145.7 146.0 146.6 147.0 146.9 146.3 147.6 146.0 Finance, insurance, and real estate 140.8 140.7 140.9 140.6 140.0 139.9 141.0 141.4 141.6 142.8 141.9 143.2 142.7 Services 211.1 211.3 211.5 211.8 212.7 211.8 212.7 214.2 213.9 213.8 213.6 214.7 213.5 Total private Goods-producing Mining Construction Manufacturing Service-producing 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 currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. Millions of hours (annual rate)1 Percent change Industry Dec. 2002 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 Jan. 2003p Feb. 2002 To Feb. 2003p Dec. 2002 To Jan. 2003p Jan. 2003 To Feb. 2003p 236,420 237,886 236,663 -0.1 0.6 -0.5 196,808 197,778 196,229 -.6 .5 -.8 1,210 13,067 35,020 20,764 14,256 13,331 13,287 35,154 14,698 71,041 1,218 13,495 34,982 20,791 14,191 13,343 13,255 35,451 14,750 71,284 1,217 12,684 34,832 20,630 14,202 13,236 13,322 35,070 14,756 71,113 -4.2 -6.2 -2.7 -3.6 -1.5 -2.7 .0 -.3 1.2 1.5 .7 3.3 -.1 .1 -.5 .1 -.2 .8 .4 .3 -.1 -6.0 -.4 -.8 .1 -.8 .5 -1.1 .0 -.2 39,612 40,109 40,434 2.0 1.3 .8 1 Total hours paid for 1 week in the month, seasonally adjusted, multiplied by 52. p = preliminary. NOTE: Data refer to hours of all employees—production workers, nonsupervisory workers, and salaried workers—and are based largely on establishment data. See BLS Handbook of Methods, BLS Feb. 2003p 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.gov/pub/special.requests/opt/tableb1Q.txt 2002 2003 inausiry Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P Feb.P Average hourly earnings Total private (in current dollars) $14.61 $14.64 $14.66 $14.69 $14.74 $14.76 $14.83 $14.85 $14.90 $14.94 $14.98 $14.97 $15.08 16.28 16.29 16.32 16.35 16.39 16.38 16.44 16.48 16.54 16.54 16.61 16.63 16.66 17.66 18.68 15.17 14.46 17.72 18.74 15.19 14.45 17.63 18.83 15.19 14.43 17.87 18.77 15.27 14.53 17.70 18.81 15.31 14.56 17.78 18.87 15.28 14.57 17.87 18.90 15.34 14.59 17.82 18.98 15.35 14.62 17.83 19.00 15.44 14.70 17.89 19.00 15.44 14.71 17.78 19.14 15.48 14.72 17.89 19.02 15.53 14.79 18.20 19.11 15.58 14.84 14.13 14.18 14.19 14.23 14.27 14.31 14.37 14.40 14.44 14.50 14.53 14.51 14.65 Transportation and public utilities Wholesale trade Retail trade Finance, insurance, and real estate Services 17.11 16.19 9.92 16.08 15.04 17.21 16.23 9.95 16.14 15.08 17.21 16.11 9.97 16.18 15.13 17.26 16.12 9.99 16.17 15.16 17.31 16.15 10.06 16.27 15.19 17.27 16.14 10.05 16.38 15.26 17.28 16.28 10.09 16.43 15.30 17.36 16.29 10.10 16.53 15.34 17.38 16.31 10.12 16.57 15.40 17.51 16.32 10.14 16.71 15.46 17.45 16.37 10.18 16.73 15.49 17.42 16.36 10.15 16.76 15.49 17.64 16.51 10.22 16.76 15.65 Total private (in constant (1982) dollars)3 Goods-producing Service-producing 8.14 9.07 7.87 8.13 9.04 7.87 8.10 9.02 7.84 8.11 9.03 7.86 8.13 9.04 7.87 8.12 9.01 7.87 8.14 9.02 7.89 8.13 9.03 7.89 8.15 9.04 7.90 8.16 9.04 7.92 8.18 9.07 7.93 8.14 9.05 7.89 (4) (4) (4) Goods-producing Mining Construction Manufacturing Excluding overtime2 Service-producing Average weekly earnings Total private (in current dollars) 499.66 500.69 501.37 502.40 505.58 501.84 505.70 507.87 509.58 510.95 510.82 513.47 514.23 Goods-producing 657.71 659.75 659.33 658.91 663.80 655.20 662.53 664.14 663.25 659.95 667.72 673.52 663.07 Mining Construction Manufacturing 766.44 767.28 747.51 768.41 766.41 759.21 773.77 762.70 761.34 771.06 748.54 763.90 778.96 735.99 732.73 734.37 726.40 733.59 720.83 729.54 736.42 729.60 725.80 734.98 751.29 714.71 617.42 622.79 621.27 624.54 629.24 621.90 627.41 626.28 628.41 626.86 633.13 633.62 635.66 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 462.05 465.10 464.01 466.74 468.06 466.51 469.90 472.32 473.63 477.05 476.58 477.38 480.52 651.89 620.08 287.68 582.10 490.30 657.42 623.23 289.55 584.27 491.61 657.42 617.01 289.13 584.10 493.24 662.78 617.40 290.71 583.74 494.22 661.44 619.78 289.44 589.68 495.95 663.55 626.78 291.60 594.77 498.78 668.36 627.17 292.90 596.73 503.15 667.39 629.57 294.49 596.52 503.58 674.14 628.32 296.09 604.90 505.54 668.34 630.25 297.26 602.28 504.97 667.19 628.22 297.40 608.39 506.52 278.36 278.01 277.00 277.42 278.71 276.04 277.55 278.13 278.61 279.21 278.83 279.36 366.41 366.32 364.27 363.84 365.93 360.40 363.63 363.71 362.63 360.63 364.48 366.44 257.41 258.25 256.36 257.73 258.03 256.61 257.90 258.66 258.96 260.68 260.14 259.73 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. Data have been revised to reflect 662.97 623.39 292.75 585.72 496.71 675.61 637.29 297.40 606.71 510.19 (4) (4) (4) updated seasonal adjustment factors used in the CPI-W. 4 Not available. p = preliminary. NOTE: Establishment survey estimates currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. (In thousands) Industry 1987 SIC Code Production workers1 All employees Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P Total 130,791 128,833 131,473 128,789 129,104 Total private 109,531 107,783 109,770 107,506 107,409 Mining 557 556 551 538 Avg. 2002 - Jan. 2002 - Dec. 2002 - Jan. 2003P - - 89,674 87,914 89,938 87,739 87,632 535 434 432 425 413 413 31.1 24.4 5.2 6.7 23.9 4.8 6.5 24.4 5.3 6.9 24.0 5.3 6.3 66.7 62.2 69.4 64.8 65.7 61.2 64.5 59.9 258.3 71.6 183.3 260.7 76.0 181.3 254.0 69.7 181.0 250.0 69.1 177.8 - 84.9 35.0 77.6 31.4 80.6 32.8 74.2 29.3 - - - - - - - - - - - - Metal mining Iron ores Copper ores 10 101 102 32.2 6.0 8.7 32.3 5.9 8.7 31.9 6.1 8.7 31.2 6.1 8.0 Coal mining Bituminous coal and lignite mining 12 122 79.7 74.4 82.3 76.9 78.5 73.1 76.7 71.4 Oil and gas extraction Crude petroleum and natural gas Oil and gas field services 13 131 138 334.1 121.7 209.2 338.8 127.2 208.4 334.4 119.5 211.7 331.3 120.3 208.0 Nonmetallic minerals, except fuels Crushed and broken stone Sand and gravel Chemical and fertilizer minerals 14 142 144 147 110.8 44.5 36.4 10.1 102.9 40.8 33.5 9.7 105.8 41.7 35.4 10.1 98.4 38.0 32.9 9.6 6,556 6,174 6,449 6,131 6,065 5,034 4,683 4,924 4,620 989.8 511.6 13.7 464.4 934.9 466.0 12.2 456.7 990.2 515.0 15.1 460.1 935.0 484.1 15.0 435.9 742.3 231.7 510.7 641.8 166.3 475.5 689.3 197.9 491.4 615.1 161.8 453.3 3,301.5 670.0 176.9 644.6 490.2 236.5 188.3 3,105.9 655.0 155.5 634.1 463.1 224.9 173.4 3,244.6 669.0 169.4 642.9 472.1 236.4 188.2 3,069.7 657.2 155.9 619.0 447.2 232.5 176.2 Construction Feb. 2003P - 76.2 - 329.5 - 97.7 - - - - 4,548 General building contractors Residential building construction Operative builders Nonresidential building construction 15 152 153 154 1,461.5 773.9 32.8 654.7 1,391.8 718.4 30.3 643.1 1,467.6 783.3 33.9 650.4 1,404.5 747.1 33.4 624.0 1,393.5 Heavy construction, except building Highway and street construction Heavy construction, except highway 16 161 162 900.0 285.6 614.4 792.3 217.0 575.3 844.0 250.0 594.0 769.7 212.2 557.5 759.8 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 4,194.2 917.0 215.5 819.2 562.8 325.4 239.0 3,989.6 901.4 193.7 811.4 535.7 309.5 221.0 4,137.6 916.1 208.8 815.8 543.8 327.5 241.0 3,956.7 901.2 194.1 792.3 517.3 322.6 228.2 3,911.2 16,724 16,844 16,474 16,351 16,293 11,217 11,267 11,038 10,947 10,901 9,906 10,022 9,714 9,638 9,598 6,586 6,643 6,455 6,398 6,364 766.5 69.5 168.3 131.7 34.8 327.8 122.3 107.2 26.2 24.8 55.1 70.7 48.6 75.2 757.5 69.2 166.9 130.4 34.6 320.6 121.6 104.1 25.7 24.8 53.0 73.5 51.9 74.3 757.0 68.0 164.9 129.1 34.1 327.1 120.8 109.8 25.4 23.4 55.6 66.6 44.6 74.8 746.4 64.8 163.1 127.9 33.6 324.3 119.7 109.5 25.2 22.7 54.5 65.6 43.5 74.1 741.6 618.5 55.3 144.5 112.5 30.5 260.7 92.4 88.9 22.0 21.5 45.8 52.0 37.5 60.4 607.8 54.3 143.2 111.3 30.4 253.8 91.3 86.3 21.7 21.4 43.4 53.6 39.7 59.5 610.3 54.8 140.9 110.0 29.7 259.8 90.9 91.2 21.3 20.0 45.9 49.0 34.4 59.9 601.3 51.9 139.7 109.0 29.6 257.0 89.7 90.6 21.2 19.3 45.5 48.2 33.5 59.0 596.5 477.9 248.2 104.0 86.2 15.8 34.0 474.1 246.8 102.3 86.1 15.9 34.1 471.0 385.6 211.5 92.7 72.1 12.8 27.0 382.5 210.0 92.6 71.0 13.2 26.5 376.5 207.2 89.4 72.1 12.3 26.8 372.2 205.1 87.4 71.9 12.4 26.7 368.8 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 24 241 242 2421 2426 243 2431 2434 2435 2436 244 245 2451 249 25 251 2511 2512 2514 2515 491.0 252.8 107.4 86.3 16.4 34.1 489.8 251.5 108.2 84.7 16.7 33.7 - - - - - - - - - - — - - - - — (In thousands) • C\J > 0 Durable goods—Continued Furniture and fixtures—Continued Office furniture Public building and related furniture Partitions and fixtures Miscellaneous furniture and fixtures Production workers1 All employees < CM Industry 1987 SIC Code Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P 252 253 254 259 64.7 51.9 81.2 40.5 67.7 49.8 80.2 40.6 61.2 51.6 77.4 39.5 61.6 50.6 75.6 39.5 Stone, clay, and glass products Flat glass Glass and glassware, pressed or blown Glass containers Pressed and blown glass, nec Products of purchased glass Cement, hydraulic Structural clay products Pottery and related products Concrete, gypsum, and plaster products Concrete block and brick Concrete products, nec Ready-mixed concrete Misc. nonmetallic mineral products Abrasive products Mineral wool 32 321 322 3221 3229 323 324 325 326 327 3271 3272 3273 329 3291 3296 554.3 15.1 60.3 21.7 38.6 60.9 19.1 31.4 34.4 247.8 21.6 85.5 123.0 63.6 14.8 21.8 536.8 15.3 61.0 21.7 39.3 61.0 18.6 30.4 33.5 233.6 20.3 82.3 112.6 62.5 15.2 21.7 550.1 15.3 60.1 21.9 38.2 60.6 19.6 31.3 34.2 241.9 20.4 84.9 119.2 64.1 14.5 22.3 535.7 15.2 58.8 21.7 37.1 61.9 19.6 29.3 34.8 230.7 20.3 81.9 111.3 63.2 14.4 21.9 535.2 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, nec 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 591.9 187.6 124.2 27.2 103.4 66.1 3.4 21.4 28.5 17.0 151.7 20.0 18.6 62.7 81.5 20.8 606.2 190.4 125.8 27.2 107.6 67.9 3.4 22.3 29.0 17.2 156.9 19.9 19.5 66.5 82.6 21.1 580.5 186.4 123.2 27.7 98.9 63.9 3.1 19.9 28.0 16.9 147.1 20.2 18.5 59.0 80.7 20.4 579.1 184.5 122.0 27.3 99.2 64.2 3.1 20.1 27.8 17.0 147.1 20.8 18.5 58.1 81.5 20.5 575.2 183.1 1,417.7 34.6 28.2 109.5 41.5 56.4 55.7 22.0 18.2 476.8 92.1 83.9 97.2 117.7 38.9 93.2 44.0 49.2 217.6 27.2 107.6 71.2 135.8 78.2 57.6 1,424.8 34.5 27.9 109.2 41.6 56.1 55.4 21.8 18.3 481.0 92.8 82.4 100.4 120.1 38.1 94.1 44.2 49.9 218.9 28.2 106.5 71.8 134.9 78.3 56.6 1,395.5 34.4 27.8 109.4 41.3 55.5 55.6 21.9 18.3 464.6 89.6 84.1 91.4 115.4 38.5 92.4 43.7 48.7 216.8 26.2 108.9 70.4 133.8 75.9 57.9 1,384.1 34.5 28.2 108.2 41.5 55.6 55.6 21.9 18.4 458.1 88.0 82.9 90.3 113.1 38.9 92.9 44.0 48.9 215.1 26.2 107.4 70.1 133.0 76.1 56.9 1,374.8 34 Fabricated metal products 341 Metal cans and shipping containers 3411 Metal cans 342 Cutlery, handtools, and hardware Hand and edge tools, and blades and handsaws ... 3423,5 3429 Hardware, nec 343 Plumbing and heating, except electric 3432 Plumbing fixture fittings and trim 3433 Heating equipment, except electric 344 Fabricated structural metal products 3441 Fabricated structural metal 3442 Metal doors, sash, and trim 3443 Fabricated plate work (boiler shops) 3/)/]/; Sheet metal work 3446 Architectural metal work 345 Screw machine products, bolts, etc 3451 Screw machine products 3452 Bolts, nuts, rivets, and washers 346 Metal forgings and stampings 3462 Iron and steel forgings 3465 Automotive stampings 3469 Metal stampings, nec 347 Metal services, nec 3471 Plating and polishing 3479 Metal coating and allied services - - - - - - — Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 42.9 41.4 61.3 28.6 45.2 39.5 59.7 28.1 40.9 41.3 59.7 27.4 41.1 40.6 58.2 27.2 431.8 12.4 48.9 19.2 29.7 47.0 13.7 24.8 26.8 197.0 14.5 67.9 101.0 46.4 10.8 415.4 12.5 48.7 19.2 29.5 46.7 13.3 24.0 26.2 183.7 13.5 65.1 91.0 45.5 11.1 425.4 12.6 49.1 19.2 29.9 47.1 14.0 24.4 26.6 190.1 13.4 66.5 96.8 46.6 10.5 412.3 12.5 47.2 18.8 28.4 48.7 13.9 22.5 26.9 179.6 13.4 63.4 89.5 46.2 10.4 - - - - Feb. 2003P - 412.7 - 453.3 143.9 95.4 20.7 85.2 54.9 2.5 18.2 22.0 14.0 111.6 16.1 14.5 43.1 62.9 14.5 462.7 145.2 96.1 20.5 88.7 56.5 2.5 19.0 21.5 13.6 115.0 16.0 14.8 46.0 63.8 14.9 446.7 144.2 95.5 21.6 80.9 52.8 2.3 16.9 22.4 14.4 109.2 16.3 14.4 41.0 62.3 14.2 444.1 142.5 94.7 21.1 81.3 53.1 2.4 17.1 22.1 13.9 107.5 16.5 14.3 39.8 63.1 14.3 441.4 141.3 1,051.3 29.6 24.4 83.2 31.7 43.1 38.9 15.8 12.5 343.0 64.7 62.1 70.5 88.2 28.0 71.4 35.4 36.0 170.6 19.8 88.5 53.7 110.1 64.6 45.5 1,053.6 29.5 24.2 82.9 31.7 42.7 37.8 15.3 12.3 344.9 65.7 60.6 71.7 89.8 27.7 72.1 35.5 36.6 171.6 20.5 87.5 54.1 108.8 64.3 44.5 1,036.3 29.3 24.0 82.8 31.5 42.1 39.4 15.8 13.0 333.8 62.2 62.0 66.6 87.1 27.2 71.1 35.2 35.9 170.6 19.1 90.0 53.0 108.9 63.4 45.5 1,027.2 29.3 24.3 81.4 31.7 41.9 39.3 15.7 13.0 328.5 61.2 61.2 65.4 84.7 27.6 71.5 35.4 36.1 169.6 19.1 89.0 53.0 108.4 63.7 44.7 1,019.4 - — (In thousands) Industry 1987 SIC Code Production workers1 All employees Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 348 3483 349 3494 3496 39.2 18.7 255.2 19.5 51.2 38.6 18.8 258.2 20.0 51.4 40.0 18.9 248.5 18.5 50.3 39.8 18.7 246.9 18.6 49.7 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 1,823.3 75.4 25.3 50.0 90.1 65.2 206.1 73.7 13.9 43.2 33.0 25.3 275.8 31.3 13.6 138.4 41.7 15.4 137.1 9.9 17.2 23.0 216.6 27.4 36.4 21.3 30.6 14.4 17.2 303.7 162.6 1,870.5 1,780.5 79.2 71.9 26.6 22.6 52.6 49.3 92.8 86.9 61.5 67.8 203.9 210.6 71.1 74.0 14.2 13.7 45.4 42.7 34.1 33.7 25.9 25.7 285.9 270.5 32.5 30.8 14.7 13.7 142.2 137.2 43.2 40.2 16.4 14.4 139.8 135.5 9.7 9.8 17.7 16.9 22.9 23.3 222.9 211.8 27.3 27.2 37.2 36.0 22.1 20.8 32.2 29.1 13.1 15.3 17.5 16.6 318.2 291.1 171.6 152.9 1,773.0 70.4 22.1 48.3 89.0 63.3 201.1 69.2 13.7 42.6 33.2 25.7 270.6 30.5 13.6 137.8 40.6 14.4 135.5 9.8 16.9 24.7 211.1 27.0 35.3 20.6 28.7 12.9 16.6 289.6 153.3 Feb. 2003P Avg. 2002 Jan. 2Q02 Dec. 2002 Jan. 2003P Feb. 2003P Durable goods—Continued Fabricated metal products—Continued Ordnance and accessories, nec Ammunition, except for small arms, nec Miscellaneous fabricated metal products Valves and pipe fittings, nec Misc. fabricated wire products Industrial machinery and equipment Engines and turbines Turbines and turbine generator sets Internal combustion engines, nec 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, nec Computer and office equipment Electronic computers Computer terminals, calculators, and office machines, nec Refrigeration and service machinery Refrigeration and heating equipment Misc. industrial and commercial machinery Carburetors, pistons, rings, valves Scales, balances, and industrial machinery, nec .... 3575,8,9 358 3585 359 3592 3596,9 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 36 361 3612 3613 362 3621 3625 363 3632 3633 3634 364 3641 3643 44.6 187.7 128.5 330.9 20.0 271.3 48.2 187.8 128.3 333.3 21.1 272.3 42.7 184.0 126.6 324.9 18.3 267.3 41.0 182.3 125.0 323.4 18.4 265.6 1,418.6 69.9 29.6 40.3 133.7 61.0 51.1 101.0 23.7 19.6 17.8 157.8 17.3 53.0 1,479.1 73.4 31.3 42.1 135.9 62.3 51.9 101.9 24.5 19.0 18.1 161.3 17.6 54.1 1,364.3 67.6 28.1 39.5 130.9 60.0 49.6 98.3 22.8 18.4 17.7 156.1 17.0 52.8 1,355.5 67.2 27.8 39.4 129.8 59.5 49.2 100.9 23.3 20.2 17.6 154.9 16.8 52.7 - - 1,764.2 - - - - - - 286.4 - - - 1,344.2 - 23.0 8.7 181.5 13.7 37.6 22.5 9.0 183.5 14.0 37.7 23.7 8.8 176.7 13.3 36.9 23.5 8.6 175.7 13.6 36.2 1,099.6 48.1 14.1 34.0 59.9 44.4 125.1 47.8 8.5 25.3 17.0 15.9 187.2 18.3 7.7 101.7 27.9 10.5 68.2 6.0 9.8 12.2 132.5 14.8 27.4 11.0 20.0 10.8 12.1 107.2 57.0 1,128.3 50.9 14.9 36.0 62.5 46.7 127.5 47.3 8.7 26.6 17.7 16.3 194.4 19.1 8.4 105.0 28.7 11.1 69.6 5.8 10.2 12.2 136.5 14.7 28.2 11.7 21.2 11.4 12.4 113.8 60.8 1,071.0 45.9 12.2 33.7 57.6 41.6 121.5 44.5 8.4 24.9 17.1 16.2 183.3 18.3 8.1 100.2 26.7 9.6 67.7 5.9 9.6 12.5 129.2 14.5 27.1 10.6 18.9 10.1 11.5 102.5 53.0 1,067.0 45.1 11.9 33.2 59.3 42.8 119.4 43.0 8.3 24.7 16.9 16.2 183.6 18.5 8.1 99.8 27.2 9.6 67.3 5.8 9.7 12.8 129.2 14.6 26.8 10.5 18.5 10.0 11.7 101.9 53.1 15.8 126.6 92.7 244.8 15.9 203.6 17.6 126.9 92.9 246.2 16.9 203.8 15.0 124.0 91.2 239.3 14.7 199.6 14.2 122.9 90.2 238.3 14.7 198.8 831.9 45.4 19.7 25.7 84.5 42.6 27.2 80.5 18.2 16.9 13.0 112.6 13.2 36.2 877.1 47.5 20.7 26.8 86.5 43.7 27.8 81.5 18.9 16.6 13.5 115.5 13.6 37.2 795.9 43.6 18.7 24.9 82.6 42.0 26.2 77.5 17.4 15.3 12.9 111.3 13.0 35.9 791.1 43.9 18.7 25.2 81.6 41.4 25.9 80.3 17.7 17.4 13.0 109.9 13.0 35.7 - - 1,060.8 - - - 779.5 - - - (In thousands) Industry 1987 SIC Code Production workers1 All employees Dec. 2002 Jan. 2003P Feb. 2003P Avg. 2002 Jan. 2002 3644 3645 365 3651 366 3661 367 3671 3674 3679 369 3691 3694 17.0 16.0 67.3 44.9 217.0 86.7 558.2 16.4 264.0 125.9 113.8 18.5 50.5 17.7 16.5 69.8 47.8 230.5 95.1 586.5 17.2 273.6 133.6 119.8 19.5 54.4 16.8 15.5 66.4 43.6 202.6 77.8 533.0 15.5 253.0 121.5 109.4 17.5 48.2 16.7 15.1 65.2 42.5 200.9 77.4 528.4 14.7 251.8 120.0 108.2 17.3 47.8 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, nec 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 1,667.2 911.5 331.1 45.3 489.3 26.1 410.2 205.5 92.4 112.3 157.5 96.7 60.8 27.2 81.7 56.0 60.0 24.3 1,670.1 895.0 318.0 46.0 488.9 24.3 436.3 219.5 96.5 120.3 154.9 98.0 56.9 26.5 82.1 56.7 56.4 21.7 1,647.9 910.4 334.2 43.1 484.9 26.6 393.7 196.1 90.2 107.4 156.9 95.9 61.0 27.5 80.4 54.4 59.4 26.3 1,632.9 899.9 325.4 42.9 483.6 26.6 388.7 191.8 89.9 107.0 157.1 95.9 61.2 27.2 80.2 54.6 60.3 27.0 1,636.7 906.2 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 385 386 387 803.6 147.7 275.1 34.0 63.3 62.3 288.3 113.4 97.0 28.8 60.4 3.2 816.9 150.8 282.4 35.1 66.2 64.0 287.8 113.2 97.5 29.5 63.1 3.3 789.4 145.6 266.5 32.3 60.9 58.6 287.3 113.8 95.7 28.3 58.6 3.1 791.5 146.2 267.3 32.6 61.9 57.9 290.0 113.7 97.2 27.9 57.1 3.0 790.1 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, nec 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 371.7 43.9 34.7 15.8 92.6 24.9 67.7 29.0 16.0 7.0 174.5 80.9 370.3 43.6 34.7 15.8 93.5 25.6 67.9 28.6 15.6 6.5 173.2 80.7 371.1 44.2 35.1 15.6 92.6 25.5 67.1 27.5 15.9 7.0 175.3 81.8 365.4 42.9 34.1 15.4 91.5 24.6 66.9 27.0 15.4 6.4 173.2 81.9 364.8 Durable goods—Continued Electronic and other electrical equipment—Continued 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, nec Misc. electrical equipment and supplies Storage batteries Engine electrical equipment - - 525.1 - - 386.0 - - - - - Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 13.2 11.2 42.6 25.8 86.9 33.3 300.6 11.6 105.9 79.0 78.9 14.8 38.7 13.6 11.9 43.9 27.3 96.2 39.5 322.0 12.2 113.1 84.8 84.0 15.9 41.9 13.0 10.8 42.8 25.1 80.3 28.7 282.3 11.0 98.8 76.0 75.5 14.2 36.6 12.7 10.1 41.8 24.0 78.6 28.5 279.9 10.3 98.5 75.3 75.1 13.9 36.3 1,075.1 675.2 225.8 35.5 377.6 19.7 187.1 72.2 45.0 69.9 116.7 66.2 50.5 18.7 18.8 11.0 44.8 21.3 1,071.7 661.1 214.9 36.3 376.9 17.8 203.4 80.1 48.3 75.0 115.1 67.4 47.7 17.6 19.1 11.2 41.8 18.8 1,065.1 674.0 228.3 33.5 374.2 20.1 178.4 68.3 43.8 66.3 115.8 65.3 50.5 19.2 19.8 11.7 43.5 23.0 1,056.4 665.4 221.9 33.4 372.3 19.9 177.4 67.6 43.5 66.3 115.4 64.7 50.7 19.0 20.1 12.3 44.8 24.0 1,060.3 670.5 390.6 35.1 136.0 25.0 31.7 19.6 168.1 69.9 61.1 21.4 28.0 2.1 399.6 36.6 139.6 26.0 33.7 20.2 170.4 72.0 61.2 21.5 29.3 2.2 381.2 33.8 133.1 23.7 30.4 18.7 164.4 68.0 60.1 20.8 27.2 1.9 383.5 33.8 134.5 24.2 30.6 18.6 166.7 68.1 61.2 19.9 26.7 1.9 382.2 248.3 28.2 21.7 12.2 58.8 14.9 43.9 19.8 11.6 4.9 117.8 49.9 244.5 27.4 21.1 12.1 58.9 14.7 44.2 19.1 11.2 4.5 115.8 49.6 246.9 28.5 22.1 12.0 59.1 15.8 43.3 18.7 11.5 4.9 117.1 50.2 242.4 27.5 21.4 11.8 58.8 15.2 43.6 18.1 11.3 4.6 114.9 50.1 242.0 Feb. 2003P - - - - - - - (In thousands) Industry 1987 SIC Code Nondurable goods Production workers1 All employees 1,233.5 455.5 126.8 95.5 233.2 97.5 33.9 36.4 163.2 12.1 44.1 34.4 86.6 11.8 23.3 137.8 84.6 1,227.1 52.7 67.7 8.2 5.6 34.3 18.4 82.9 18.3 32.8 126.1 52.5 67.2 8.1 6.1 33.6 18.3 81.1 18.6 32.4 119.2 53.3 74.3 10.9 6.5 36.4 17.8 78.5 17.3 31.8 121.4 53.2 71.6 9.8 6.2 35.3 17.7 77.9 17.2 31.5 125.7 26.1 16.6 26.1 16.4 28.2 16.6 26.7 15.9 357.0 43.7 38.0 4.1 13.2 72.8 9.6 23.3 16.7 9.9 41.5 19.1 13.0 50.7 57.4 40.8 12.1 35.7 361.9 43.7 39.3 5.2 13.6 76.2 9.6 24.5 18.2 9.6 41.7 19.0 13.3 49.0 57.6 41.1 12.1 35.6 349.4 42.5 37.1 3.3 12.3 71.6 9.7 22.6 15.7 10.2 40.7 18.2 13.0 50.4 56.6 40.1 12.0 34.9 346.3 43.8 36.8 3.1 12.3 68.6 9.7 21.8 14.3 10.1 40.2 17.8 13.1 51.4 57.3 40.6 12.1 32.8 341.3 399.9 11.6 83.7 12.6 30.8 16.7 112.5 6.7 15.4 6.0 84.4 9.4 7.1 2.3 403.7 12.1 84.9 13.7 29.3 17.8 112.2 6.6 15.8 7.2 82.6 10.4 7.3 3.1 386.6 11.2 81.0 11.3 31.1 15.8 109.4 6.1 15.3 5.7 82.3 8.3 6.7 1.6 383.2 11.1 80.6 11.6 31.0 15.7 110.9 5.7 14.8 5.9 84.5 7.9 6.4 1.5 383.7 1,245.6 448.5 124.2 90.2 234.2 100.5 33.7 36.8 177.6 11.6 55.4 37.1 85.6 11.7 22.8 138.3 85.6 61.4 91.5 11.2 6.7 46.2 28.1 186.5 31.3 96.3 178.3 61.1 90.1 11.2 7.1 44.9 27.8 183.1 31.7 95.8 170.9 62.0 99.8 14.0 7.6 49.3 26.6 181.8 30.3 94.8 174.0 62.0 97.3 14.0 7.2 47.6 26.3 181.2 30.1 94.7 177.3 - - 20 201 2011 2013 2015 202 2022 2026 203 2032 2033 2037 204 2041 2048 205 2051 Tobacco products Cigarettes 21 211 35.0 23.9 34.8 23.4 37.5 24.2 35.4 23.0 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, nec Knit outerwear 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 2257 226 2261 2262 227 228 2281 2282 229 431.8 49.5 45.9 5.3 16.2 89.1 11.2 26.9 19.1 12.2 50.1 22.3 15.4 62.9 65.1 46.3 13.8 47.7 440.1 49.7 47.3 6.5 16.8 92.8 11.4 28.1 21.3 11.9 50.5 22.0 15.9 62.9 65.5 46.7 13.9 48.1 421.8 48.2 44.7 4.3 15.1 87.4 11.2 26.2 17.6 12.5 49.4 21.5 15.5 62.3 63.9 45.3 13.7 46.5 417.7 49.5 44.5 4.1 14.9 84.4 11.3 25.4 16.4 12.3 48.8 20.9 15.4 63.4 64.4 45.6 13.8 43.7 414.3 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, nec Women's and children's undergarments Women's and children's underwear Brassieres, girdles, and allied garments 23 231 232 2321 2325 2326 233 2331 2335 2337 2339 234 2341 2342 520.8 15.2 105.7 15.9 37.0 20.2 150.3 9.4 19.9 8.3 112.6 13.7 10.5 3.2 525.9 15.7 108.0 17.2 35.2 21.4 149.7 9.2 20.7 9.3 110.5 14.4 10.3 4.1 504.5 14.6 102.3 14.5 37.0 19.4 145.7 8.8 18.4 8.0 110.5 12.6 10.2 2.4 497.7 14.5 101.2 14.6 36.4 19.2 144.7 8.3 17.3 8.2 110.9 12.1 9.9 2.2 497.6 1,240.3 456.4 127.4 95.2 233.8 99.3 34.6 37.2 165.8 12.2 45.5 34.8 87.5 12.2 23.3 139.3 86.0 1,662.6 1,673.7 529.6 153.3 118.0 258.3 143.5 41.9 60.8 196.8 14.8 55.6 40.8 119.5 18.3 37.0 202.2 140.2 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, nec Bakery products Bread, cake, and related products Cookies, crackers, and frozen bakery products, except bread Sugar and confectionery products Cane sugar Beet sugar Candy and other confectionery products Fats and oils Beverages Malt beverages Bottled and canned soft drinks Misc. food and kindred products 2052,3 206 2061,2 2063 2064 207 208 2082 2086 209 1,220.1 445.8 127.0 85.9 232.9 99.0 32.9 37.3 167.1 12.1 48.2 33.8 85.2 11.5 22.6 137.2 84.7 4,624 1,683.2 532.1 154.5 118.1 259.5 143.9 42.2 61.7 199.3 14.8 56.6 41.0 120.8 18.9 37.0 204.9 142.9 1,689.3 522.6 150.2 112.7 259.7 145.9 41.8 62.0 213.5 14.7 67.1 43.3 120.0 18.3 36.4 203.0 141.6 4,537 4,630 1,659.2 518.1 151.8 108.1 258.2 143.7 41.1 62.4 203.0 15.4 59.2 39.9 120.3 18.1 35.9 202.2 141.1 6,822 4,549 6,695 6,713 6,818 4,583 Dec. 2002 6,760 Dec. 2002 Feb. 2003P Jan. 2002 Feb. 2003P Jan. 2002 Jan. 2003P Avg. 2002 Jan. 2003P Avg. 2002 - - 34.2 - - - - - - - - - - - - - 25.6 - - - - - - — (In thousands) Industry Nondurable goods—Continued Apparel and other textile products—Continued Girls' and children's outerwear Girls' and children's dresses and blouses Fur goods and misc. apparel and accessories Misc. fabricated textile products Curtains and draperies House furnishings, nec Automotive and apparel trimmings 1987 SIC Code Production workers1 All employees Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P 236 2361 237,8 239 2391 2392 2396 9.6 4.9 27.5 188.0 16.6 46.9 57.3 10.1 4.9 28.1 189.0 16.0 47.9 57.2 8.9 4.8 26.4 183.5 16.5 45.9 55.2 9.0 4.9 25.0 181.0 16.4 45.2 54.7 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, nec Bags: plastics, laminated, and coated Envelopes 26 262 263 265 2653 2656 2657 267 2672 2673 2677 614.6 126.2 42.4 206.0 127.6 16.8 42.4 226.8 44.1 39.3 21.8 621.4 129.9 42.9 205.9 128.7 15.6 42.1 229.6 44.1 39.8 22.7 609.7 123.9 41.6 206.0 128.5 17.2 42.3 224.8 44.1 38.9 21.0 604.9 122.5 41.5 204.4 126.4 17.3 42.8 223.2 44.2 39.3 21.0 602.6 Printing and publishing Newspapers Periodicals Books Book publishing Book printing Miscellaneous publishing Commercial printing Commercial printing, lithographic Commercial printing, nec Manifold business forms Blankbooks and bookbinding Printing trade services 27 271 272 273 2731 2732 274 275 2752 2759 276 278 279 1,410.0 406.7 136.0 114.3 80.0 34.3 92.4 512.7 337.2 156.0 37.2 48.6 40.6 1,434.5 411.7 141.1 116.6 80.6 36.0 91.3 521.7 344.8 158.0 38.5 50.4 41.7 1,403.8 409.3 135.7 113.4 80.0 33.4 94.2 508.4 333.4 156.0 36.0 46.9 38.7 1,395.1 403.8 135.8 113.4 79.5 33.9 92.3 509.8 333.5 156.9 36.0 46.3 37.9 1,396.1 1,008.1 89.9 47.2 137.4 74.2 34.4 328.9 255.5 151.7 39.8 40.3 71.7 48.8 115.1 17.9 97.1 44.7 91.6 1,005.1 91.6 47.4 139.7 75.0 35.5 325.9 253.6 149.5 39.0 39.9 70.6 48.4 114.1 17.5 96.6 45.5 90.4 1,005.7 87.8 47.4 134.0 72.9 32.6 329.5 256.0 153.8 39.8 41.2 72.8 50.3 116.1 18.1 98.0 43.7 90.5 1,001.0 87.4 47.5 132.1 72.5 31.3 330.1 256.6 152.9 39.1 41.2 72.6 49.6 116.2 17.9 98.3 42.4 90.3 999.2 Chemicals and allied products 28 Industrial inorganic chemicals 281 2819 Industrial inorganic chemicals, nec Plastics materials and synthetics 282 Plastics materials and resins 2821 2824 Organic fibers, noncellulosic Drugs 283 2834 Pharmaceutical preparations 284 Soap, cleaners, and toilet goods 2841 Soap and other detergents Polishing, sanitation, and finishing preparations .... 2842,3 Toilet preparations 2844 Paints and allied products 285 Industrial organic chemicals 286 2865 Cyclic crudes and intermediates Oher industrial organic chemicals 2861,9 287 Agricultural chemicals Miscellaneous chemical products 289 - - - - - - Petroleum and coal products Petroleum refining Asphalt paving and roofing materials 29 291 295 125.5 82.0 29.6 121.0 81.7 25.2 123.7 81.8 28.3 120.5 81.4 25.5 121.3 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, nec Miscellaneous plastics products, nec 30 301 302 305 3052 306 308 927.1 71.9 4.1 63.7 26.3 96.0 691.4 924.8 72.5 4.3 66.1 27.3 96.2 685.7 916.5 70.7 2.9 63.3 26.4 94.9 684.7 914.2 70.9 2.8 63.2 26.7 94.3 683.0 915.9 - - - Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P 6.9 3.4 22.1 145.9 12.9 39.0 44.8 7.3 3.5 22.7 146.1 12.1 39.8 44.5 6.3 3.3 21.0 141.9 13.1 38.2 42.0 6.3 3.4 19.3 139.9 13.3 37.4 42.0 466.7 98.6 32.9 159.8 95.7 14.9 34.1 164.8 19.4 29.9 16.8 472.2 101.8 33.3 159.4 96.4 14.1 33.8 167.0 19.5 30.4 17.5 460.7 96.7 31.9 159.6 96.1 15.4 33.9 162.0 19.5 29.5 16.0 456.1 95.7 32.1 157.6 94.4 15.3 34.0 160.1 19.3 29.5 16.1 454.9 735.5 133.2 46.6 49.2 24.3 24.9 47.4 354.3 232.2 108.8 25.5 35.3 27.9 749.6 135.4 47.6 50.4 24.2 26.2 46.9 362.1 238.6 109.6 26.3 36.5 28.6 732.0 134.1 47.2 48.9 24.3 24.6 48.5 352.8 230.7 109.5 24.5 34.0 26.7 723.1 130.5 47.0 49.4 23.8 25.6 46.6 351.3 228.7 110.1 24.4 33.4 26.6 724.4 550.0 49.5 26.0 92.4 45.9 28.5 140.2 111.8 94.6 22.5 26.2 45.8 26.2 64.3 9.2 55.1 26.2 56.7 548.8 50.3 26.0 93.9 46.4 29.3 140.2 112.6 93.0 22.4 25.3 45.3 25.9 63.6 9.0 54.6 26.8 55.1 549.2 47.8 26.3 90.2 45.2 27.2 139.8 111.3 96.0 22.0 27.2 46.8 27.0 65.1 9.2 55.9 26.0 57.3 548.3 48.5 26.8 88.8 45.0 26.2 139.9 111.3 96.6 22.8 27.2 46.6 27.4 65.0 9.1 55.9 24.9 57.2 546.1 90.2 57.4 23.4 86.4 57.8 19.0 88.2 56.7 22.3 86.0 56.9 19.7 717.8 54.4 3.0 50.5 21.3 72.0 537.9 714.4 55.1 3.2 52.3 22.2 71.7 532.1 708.1 53.3 1.8 50.1 21.4 71.7 531.2 705.9 53.4 1.8 49.9 21.5 71.3 529.5 - - - - 86.6 - 708.5 - (In thousands) Industry Nondurable goods—Continued Leather and leather products Leather tanning and finishing Footwear cut stock and footwear, except rubber Men's footwear, except athletic Women's footwear, except athletic Luggage Handbags and personal leather goods 1987 SIC Code 31 311 313,4 3143 3144 316 317 Transportation and public utilities Transportation Production workers1 All employees Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P 51.6 5,628 5,597 5,483 6,573 4,317 4,290 4,321 4,239 4,208 - - - - - - - - - - - 41 411 412 413 415 472.4 234.6 30.8 23.0 148.7 489.6 235.1 30.6 23.5 165.0 482.5 234.9 31.4 23.9 158.7 473.8 233.0 31.5 21.9 156.5 476.8 Trucking and warehousing Trucking and courier services, except air Public warehousing and storage 42 421 422 1,826.1 1,590.0 224.7 1,790.2 1,564.9 214.9 1,826.5 1,585.2 229.3 1,787.2 1,547.8 227.2 1,770.8 Water transportation Water transportation of freight Water transportation services 44 441-4 449 189.9 37.4 126.7 176.5 37.2 118.1 184.4 37.7 126.2 177.7 37.3 122.1 178.2 Transportation by air Air transportation, scheduled Air transportation, scheduled Airports, flying fields, and sen/ices 45 451 4512 458 1,161.4 970.9 508.7 141.8 1,161.5 975.6 505.5 137.4 1,167.3 975.9 504.5 144.3 1,147.6 957.7 494.5 143.3 1,128.0 Pipelines, except natural gas 46 14.9 14.9 15.3 Transportation services Passenger transportation arrangement Travel agencies Freight transportation arrangement 47 472 4724 473 423.4 183.3 138.5 185.6 425.3 182.5 141.0 188.3 2,456 5,620 38.3 6,617 - Local and interurban passenger transit Local and suburban transportation Taxicabs Intercity and rural bus transportation School buses 50 501 5012 5013 502 5021 5023 39.7 5.3 16.9 11.2 2.4 2.9 7.7 6,734 - 222.8 Durable goods Motor vehicles, parts, and supplies Automobiles and other motor vehicles Motor vehicle supplies and new parts Furniture and home furnishings Furniture Home furnishings 40.3 5.3 16.6 10.9 2.5 2.9 8.5 6,787 - 222.3 Wholesale trade 40.3 5.7 18.1 10.8 2.7 5.2 4.1 6,773 - 225.2 49 491 492 493 495 41.6 5.6 18.0 11.1 2.5 4.3 6.6 Feb. 2003P 52.9 7.3 21.6 14.5 3.2 5.0 8.7 231.9 Electric, gas, and sanitary services Electric services Gas production and distribution Combination utility services Sanitary services Jan. 2003P 53.3 7.0 21.7 14.4 3.3 4.8 9.4 228.9 48 481 4813 483 4832 4833 484 Dec. 2002 55.0 7.6 23.4 14.4 3.6 6.7 6.4 40 Communications Telephone communications Telephone communications, except radio Radio and television broadcasting Radio broadcasting stations Television broadcasting stations Cable and other pay television services Jan. 2002 55.5 7.4 23.1 14.6 3.3 6.1 8.4 Railroad transportation Communications and public utilities Avg. 2002 - 445.4 218.1 462.3 218.0 455.1 217.8 447.8 216.5 - - - - - - - - - - - - - - - - - - 1,612.3 1,412.4 189.9 1,566.6 1,376.6 181.0 1,612.7 1,409.5 192.7 1,573.2 1,369.2 193.3 - — 5,436 - — - — - - - - - - - - - - 112.2 102.5 112.5 108.7 - - - - - - - - - _ - - - - - - - - - - 15.4 15.7 10.8 10.8 11.1 11.2 - 420.0 178.0 134.1 186.9 415.3 174.9 132.2 186.7 415.2 350.4 149.5 112.9 153.4 348.6 147.4 115.0 153.0 346.6 143.7 107.3 155.5 343.2 142.6 107.0 155.2 2,497 2,413 2,378 2,365 1,613.8 1,093.7 882.9 247.8 113.7 134.1 237.6 1,653.0 1,135.6 923.8 246.4 113.9 132.5 235.7 1,576.0 1,055.8 843.4 247.5 112.9 134.6 239.2 1,547.5 1,033.4 825.5 245.2 111.1 134.1 236.3 1,540.9 841.9 360.9 121.1 143.0 175.2 844.4 361.8 122.4 146.2 174.1 837.1 358.3 120.7 141.2 175.7 830.8 356.8 119.8 139.5 173.3 824.5 - - - — - - - - 1,209.9 809.7 635.2 199.5 1,131.2 729.0 572.9 201.1 1,109.0 712.3 560.8 198.0 - - 1,159.5 759.1 602.9 200.7 - - - - - - - - - - - 6,671 6,652 6,646 6,588 6,584 3,908 498.0 160.0 266.0 164.8 80.2 84.6 3,921 499.3 158.9 266.3 164.7 81.0 83.7 3,883 499.1 162.2 266.3 164.9 79.2 85.7 3,856 495.1 159.8 265.8 164.0 77.8 86.2 3,852 - - - - 186.3 187.4 188.1 186.0 675.7 287.6 97.4 116.1 143.2 676.8 288.6 98.8 118.5 140.4 671.0 285.9 96.4 115.0 143.4 664.5 284.8 95.3 112.8 140.7 5,344 5,307 5,330 5,269 3,060 396.6 3,060 398.2 3,040 398.1 3,016 393.3 - - - _ - - - - - - 133.1 - 132.0 131.8 - - — - - 131.2 - — - - - 5,264 - - (In thousands) Industry Wholesale trade—Continued Durable goods—Continued Lumber and other construction materials Lumber, plywood, and millwork Construction materials, nec 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, nec Beer, wine, and distilled beverages Beer and ale Wine and distilled beverages Misc. wholesale trade nondurable goods Farm supplies 1987 SIC Code Production workers1 All employees Avg. 2002 Jan. 2002 Dec. 2002 503 5031 5039 504 5044 5045 5047 505 506 5063 5064 5065 507 5072 5074 508 5082 5083 5084 5085 509 5093 282.9 138.6 38.1 885.4 181.9 363.8 203.6 142.8 526.1 219.2 42.8 264.1 312.9 108.1 123.8 779.6 93.8 117.4 304.5 139.9 315.2 104.1 275.5 135.5 37.2 894.5 187.9 370.1 200.7 143.8 538.4 221.6 41.7 275.1 309.7 108.0 122.7 789.4 94.5 114.4 313.3 140.1 306.1 103.3 282.1 138.5 38.5 878.3 177.7 361.0 204.9 144.2 519.2 218.4 43.7 257.1 312.2 107.9 122.4 763.5 94.1 112.6 295.4 138.0 319.4 104.7 278.4 138.0 37.1 875.3 176.2 359.7 206.5 144.7 518.0 219.4 43.4 255.2 310.5 106.4 121.8 755.3 93.2 112.4 291.6 136.9 314.3 105.4 51 511 5112 512 513 514 5141 5147 5148 515 516 517 5171 5172 518 5181 5182 519 5191 2,764 256.2 151.0 286.3 197.7 927.2 291.1 55.7 98.1 90.1 159.0 143.9 56.2 87.7 173.4 107.2 66.3 529.7 158.0 2,731 259.1 155.2 279.5 196.8 918.3 295.0 55.5 97.8 90.7 158.4 144.7 55.1 89.6 167.3 104.7 62.6 516.2 153.6 2,763 254.1 147.6 291.5 199.0 925.8 284.6 55.2 97.8 87.3 158.7 144.8 56.8 88.0 175.6 108.2 67.4 526.3 150.7 2,732 254.3 148.0 291.8 195.4 911.4 281.5 54.6 94.1 85.7 157.6 142.2 56.5 85.7 174.2 107.7 66.5 519.6 151.3 2,732 23,306 22,997 23,796 22,837 22,630 20,532 20,209 21,017 20,059 911.5 623.9 44.3 137.7 81.3 835.5 573.3 44.2 133.3 60.6 905.6 621.4 44.4 139.1 76.8 868.1 606.4 44.3 135.7 58.9 2,669.9 2,369.4 140.8 159.7 2,651.1 2,354.7 136.9 159.5 2,917.7 2,584.9 158.3 174.5 2,626.1 2,325.0 137.4 163.7 3,062.8 2,733.5 3,073.8 2,745.9 3,104.2 2,760.1 3,037.9 2,715.9 Retail trade Jan. 2003P Feb. 2003P - - - Jan. 2002 Dec. 2002 238.1 229.9 238.2 - 666.3 - 165.0 115.1 378.8 - - - - - 670.9 - 161.4 114.8 385.2 - - 660.9 - 166.7 117.6 376.0 Jan. 2003P 234.7 Feb. 2003P - - - - - 655.4 - 167.6 117.7 374.4 - - - - - - - - - - - - - - - - 258.5 - - 629.4 259.2 - 633.3 256.3 - 614.4 255.1 - - - - - 609.6 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 244.0 - 2,285 211.7 - 249.2 164.3 782.7 236.3 - 2,247 215.5 - 238.3 161.8 772.7 246.2 - 2,290 207.8 - 257.1 165.7 784.5 244.1 - 2,253 206.6 - 256.4 162.6 770.5 - - _ - - - - - - - - - - - - - - - - - - - - - 74.4 116.0 122.2 74.9 114.7 123.2 71.9 116.1 122.7 70.1 114.8 119.9 - - - - - - - - - - - - - - 140.1 134.5 142.1 139.2 - - - - - - - - - - - - - - 424.1 - 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 1,064.2 709.2 61.9 161.2 99.6 994.6 669.0 61.8 157.0 75.1 1,061.1 709.8 62.7 162.5 94.5 1,022.4 695.8 62.6 158.8 75.2 1,018.4 General merchandise stores Department stores Variety stores Miscellaneous general merchandise stores 53 531 533 539 2,868.3 2,528.6 156.7 183.0 2,854.2 2,517.0 153.7 183.5 3,120.7 2,745.9 177.3 197.5 2,829.8 2,488.4 155.9 185.5 2,762.7 2,429.2 Food stores Grocery stores Meat and fish markets Retail bakeries 54 541 542 546 3,393.6 3,009.3 44.7 186.2 3,409.7 3,027.4 45.0 186.8 3,433.0 3,034.5 46.4 190.4 3,364.4 2,990.5 43.4 184.6 3,331.8 Automotive dealers and service stations New and used car dealers Auto and home supply stores 55 551 553 2,432.2 1,129.6 406.2 2,408.9 1,125.4 404.1 2,411.3 1,119.8 405.4 2,388.0 1,112.3 400.1 2,384.8 1,112.1 Avg. 2002 - - - - - 411.7 - - 422.0 - - 413.3 - - - 19,857 _ - - _ - - _ - 160.7 161.5 165.4 161.5 - 2,050.8 956.0 332.2 2,025.4 952.6 327.7 2,028.8 945.6 330.7 2,009.0 938.5 325.4 - - (In thousands) 1987 SIC Code Industry Production workers1 All employees Jan. 2003P Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 554 559 640.9 12.8 637.8 12.4 632.6 11.8 624.9 11.7 Apparel and accessory stores Men's and boys' clothing stores Women's clothing stores Family clothing stores Shoe stores 56 561 562 565 566 1,174.3 78.4 271.5 448.9 191.4 1,186.3 82.9 272.0 451.7 193.7 1,272.8 88.8 294.1 502.7 198.6 1,171.5 81.8 274.9 450.0 190.1 1,118.1 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 1,150.6 588.6 329.6 71.9 490.1 233.6 67.1 1,150.3 579.1 323.9 72.7 498.5 231.7 74.7 1,226.2 622.1 339.6 72.7 531.4 255.1 75.0 1,175.6 598.0 335.3 71.8 505.8 242.7 65.8 1,153.4 Eating and drinking places 58 8,143.7 7,920.5 8,018.9 7,798.4 Miscellaneous retail establishments Drug stores and proprietary stores Liquor stores Used merchandise stores Miscellaneous shopping goods stores Sporting goods and bicycle shops Book stores 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, nec Florists, tobacco stores, and newsstands Optical goods stores Miscellaneous retail stores, nec 3,079.5 59 704.6 591 114.6 592 593 137.8 1,077.7 594 209.4 5941 141.9 5942 103.0 5943 5944 151.3 5947 239.5 50.3 5949 389.4 596 266.9 5961 5962 59.5 598 98.3 557.1 599 5992,3,4 158.6 67.7 5995 330.8 5999 3,072.6 704.8 113.1 133.1 1,089.1 202.6 148.1 106.6 155.4 240.8 50.3 384.4 261.4 61.6 103.2 544.9 152.4 67.4 325.1 3,252.3 717.0 117.9 139.8 1,181.7 218.1 152.2 104.0 163.8 266.2 51.1 426.6 305.5 58.9 104.2 565.1 159.3 68.3 337.5 7,760 7,694 3,828 Retail trade—Continued Automotive dealers and service stations—Continued Gasoline service stations Automotive dealers, nec 2 Finance, insurance, and real estate Finance - - - - Dec. 2002 554.1 10.5 550.0 10.0 547.2 9.6 540.9 9.4 968.0 65.7 217.2 390.1 147.6 980.0 68.2 220.1 393.3 150.2 1,063.6 77.7 239.8 440.5 153.6 957.9 69.4 220.4 386.0 144.7 - 950.9 489.0 953.4 481.7 1,026.3 522.8 968.6 495.2 - - - - - 58.2 413.5 189.3 63.3 58.6 444.9 211.8 65.5 58.1 415.3 197.9 54.8 7,811.8 7,327.8 7,104.7 7,216.9 6,995.5 3,086.5 709.0 113.6 138.5 1,089.9 209.0 148.0 102.8 154.9 235.1 49.3 390.0 270.5 58.5 105.5 540.0 149.0 66.8 324.2 3,048.9 2,589.8 612.3 2,584.6 612.9 2,753.9 625.2 2,595.9 618.1 7,811 7,773 7,773 3,806 3,868 3,860 3,863 2,076.0 1,448.0 584.7 863.3 262.9 148.6 114.3 211.8 2,074.0 1,447.1 581.0 866.1 262.6 150.2 112.4 208.6 2,080.7 1,450.0 585.3 864.7 261.5 146.8 114.7 215.7 2,078.4 1,448.0 582.3 865.7 261.4 147.3 114.1 217.1 2,074.2 1,444.4 825.3 60 602 6022 6021,9 603 6035 6036 606 Nondepository institutions Personal credit institutions Business credit institutions Mortgage bankers and brokers 61 614 615 616 772.4 224.9 151.4 374.5 752.6 228.7 149.6 353.5 814.3 229.1 154.1 409.1 817.7 229.5 152.5 413.6 Security and commodity brokers Security brokers and dealers Commodity contracts brokers, dealers, and exhanges Security and commodity services 62 621 718.3 503.5 723.4 514.3 707.6 490.5 706.3 491.5 622,3 628 27.0 187.8 27.4 181.7 26.5 190.6 26.3 188.5 Holding and other investment offices Holding offices 67 671 261.2 112.7 256.3 114.3 265.0 111.9 257.5 110.7 - - - Feb. 2003P Jan. 2002 57.8 404.1 191.8 56.2 Depository institutions Commercial banks State commercial banks National and commercial banks, nec Savings institutions Federal savings institutions Savings institutions, except federal Credit unions - Jan. 2003P Avg. 2002 - 114.4 906.6 - 109.9 917.6 - 115.6 1,006.7 - _ - - - - - - 115.1 913.6 - - - - - - - - - - - - - - - - - - - - - - - - 325.1 - 319.7 - 361.2 - - - - - - 328.0 - - - - - - - - - - - - - - - - 261.5 82.8 456.3 - - 89.2 442.2 - 55.6 260.6 54.9 275.5 54.3 264.7 5,655 5,578 5,697 5,671 - 1,494.0 1,026.8 421.7 605.1 - - - - - 87.7 463.4 54.3 267.9 - - 87.9 444.1 - 1,494.1 1,028.0 418.0 610.0 - 1,497.5 1,028.9 424.5 604.4 - - - - - - - 1,495.1 1,026.6 421.5 605.1 - 5,668 - - - - - - - - - 169.3 166.0 172.8 174.2 — 537.2 124.4 499.3 125.2 578.9 127.1 582.4 128.2 - - - - - - - 421.1 - - - - - 705.7 - - - - - - - - - - - - - 258.1 - 123.0 - — - 119.4 — - 123.0 - - 123.5 - — - (In thousands) Industry 1987 SIC Code Jan. 2003P Feb. 2003P 2,376 2,374 2,373 1,590.0 469.6 397.4 316.7 538.6 81.6 1,576.7 452.0 400.8 318.7 534.1 85.1 1,580.6 448.5 400.1 317.1 536.5 88.2 1,580.2 787.8 774.5 798.8 793.2 1,562 598 785.5 128.3 1,523 586 769.2 118.8 1,567 595 789.1 128.3 41,185 40,079 Avg. 2002 Jan. 2002 Dec. 2002 63,64 2,370 2,365 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 1,582.4 461.4 398.8 317.4 535.8 82.1 Insurance agents, brokers, and service 64 65 651 653 655 Finance, insurance, and real estate—Continued Insurance Real estate Real estate operators and lessors Real estate agents and managers Subdividers and developers Services Production workers1 All employees - - 1,207.3 307.4 320.8 256.3 430.6 Jan. 2002 - 1,214.3 314.8 320.2 256.5 433.5 Dec. 2002 - 1,200.2 299.3 321.9 257.0 428.5 Jan. 2003P - 1,203.4 295.8 322.6 256.8 430.4 Feb. 2003P - - - - - - — 792.9 - - - - - 1,539 582 779.5 123.9 1,537 - - - - - - - - - - - — 41,309 40,671 40,956 35,838 34,810 35,910 35,277 727.9 200.3 477.9 606.2 195.8 360.9 677.6 201.3 427.0 625.8 200.9 376.4 - - - - - — — — — Agricultural services Veterinary services Landscape and horticultural services 07 074 078 867.1 236.5 570.3 740.0 231.4 448.4 816.1 237.6 518.5 761.8 237.9 464.7 759.4 Hotels and other lodging places Hotels and motels 70 701 1,798.0 1,730.6 1,701.2 1,652.4 1,722.6 1,675.1 1,698.6 1,651.5 1,703.4, 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 1,286.4 425.6 69.1 453.3 105.7 220.5 1,341.7 426.1 62.6 445.1 104.4 290.9 1,279.0 425.2 73.8 457.3 104.9 206.0 1,329.3 419.0 65.0 449.8 104.4 279.3 1,346.2 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, nec Miscellaneous equipment rental and leasing Medical equipment rental Heavy construction equipment rental Equipment rental and leasing, nec 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 7311 732 733 7334 734 7342 7349 735 7352 7353 7359 736 7361 7363 737 7371 7372 7373 7374 7375 7378 738 7381 7382 7384 9,305.2 285.1 182.5 202.6 384.2 95.4 1,031.4 99.6 931.8 305.8 48.5 57.5 199.9 3,169.4 316.6 2,852.8 2,195.0 566.1 321.8 237.4 300.5 222.7 56.4 1,731.7 620.8 85.4 61.4 9,029.2 287.1 184.3 191.4 368.0 93.6 1,007.7 93.8 913.9 295.5 47.4 57.9, 190.2 2,913.7 307.1 2,606.6 2,212.3 569.0 319.4 236.2 299.1 224.8 56.0 1,753.5 628.8 85.9 61.6 9,353.1 285.6 181.4 208.8 402.3 98.2 1,038.9 98.8 940.1 302.7 50.0 56.6 196.1 3,199.4 315.9 2,883.5 2,191.7 562.1 325.1 237.1 301.1 221.9 56.7 1,723.7 604.4 89.2 62.6 9,083.1 283.6 181.2 211.3 403.7 99.5 1,025.7 95.8 929.9 296.5 50.1 54.7 191.7 2,984.1 304.3 2,679.8 2,189.7 564.8 324.3 241.2 299.6 219.5 55.5 1,688.5 592.2 87.6 56.1 9,075.5 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 75 751 7514 752 753 7532,4 7538 1,263.2 213.8 140.6 79.4 711.4 250.6 315.0 1,252.7 210.2 138.2 79.0 703.6 248.7 309.9 1,261.0 211.3 139.2 80.3 714.4 251.7 319.6 1,262.9 214.4 141.6 78.6 712.1 251.3 318,0 1,259.1 Avg. 2002 - - - - - 1,518.8 _ 369.8 - 403.7 - - 1,447.1 - 370.7 - 395.5 - - 1,464.3 - 369.2 - 406.4 - - 1,443.9 - 363.3 - 398.3 - 190.4 251.0 179.4 246.3 8,139.8 199.0 7,879.0 202.4 8,171.2 200.1 7,899.5 196.3 35,545 - — — - - - - - - - - - - - - - - - - - - - 1,020.5 - 2,988.3 - 2,684.8 2,187.8 - - 76.6 910.5 69.9 840.6 244.2 40.6 48.9 154.7 74.3 894.2 68.9 825.3 234.6 39.4 49.3 145.9 80.4 915.3 66.7 848.6 240.6 42.1 48.0 150.5 81.0 902.8 63.7 839.1 232.6 41.4 45.1 146.1 - - - - - - - - 2,737.4 1,760.6 470.5 - 183.1 - 185.0 44.8 1,516.1 576.3 71.1 - 1,040.0 176.1 116.6 68.7 574.5 204.9 254.4 2,491.5 1,775.3 476.5 - 181.5 - 2,765.7 1,753.8 464.0 - 183.8 - 185.5 44.3 1,540.4 584.7 71.2 183.0 44.9 1,505.8 561.2 73.9 — — 1,031.7 172.0 113.9 68.8 568.1 202.9 250.6 1,034.8 173.7 115.1 68.8 575.2 205.7 257.2 2,566.8 1,753.3 467.3 - 186.7 - 179.7 43.0 1,467.1 548.3 71.8 1,036.2 175.7 116.7 67.2 573.7 205.2 256.6 - - - - (In thousands) Industry Services—Continued Auto repair, sen/ices, and parking—Continued Automotive services, except repair Carwashes 1987 SIC Code Production workers1 All employees Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P 754 7542 258.5 139.3 259.9 142.9 255.0 138.6 257.8 142.2 Miscellaneous repair services Electrical repair shops 76 762 377.4 121.0 371.8 116.6 375.9 119.6 374.4 118.2 371.2 Motion pictures Motion picture production and services Motion picture theaters Video tape rental 78 781 783 784 582.9 259.2 142.0 163.6 575.5 253.1 135.5 170.1 584.8 262.1 139.8 163.4 578.0 255.4 139.2 163.2 571.8 Amusement and recreation services Bowling centers Misc. amusement and recreation sen/ices Physical fitness facilities Membership sports and recreation clubs 79 793 799 7991 7997 1,642.0 77.7 1,206.1 213.1 341.8 1,440.8 83.4 1,034.7 214.2 261.5 1,483.0 81.7 1,069.9 209.0 287.5 1,437.9 80.3 1,045.7 213.2 248.5 1,443.1 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, nec Hospitals General medical and surgical hospitals Psychiatric hospitals Specialty hospitals, excluding psychiatric Medical and dental laboratories Home health care services 80 801 802 804 8041,2 805 8051 8052 8059 806 8062 8063 8069 807 808 Legal services 81 - - - Jan. 2003P Avg. 2002 Jan. 2002 Dec. 2002 220.8 122.3 222.8 126.1 217.1 121.5 219.6 125.0 306.7 304.0 304.2 301.3 - 492.1 210.6 - - 489.1 206.6 - - 493.6 212.7 - - 485.6 206.1 - Feb. 2003P - - - 137.5 146.9 136.4 136.1 1,435.5 68.5 1,062.0 193.0 298.8 1,242.7 73.6 899.3 193.8 221.5 1,280.9 72.5 931.5 189.7 247.0 1,235.7 70.9 907.3 193.2 209.7 10673.1 10527.5 10803.2 10779.1 10786.0 2,063.5 2,030.0 2,096.6 2,085.3 2,087.7 716.3 713.9 718.4 703.1 469.7 474.7 476.8 459.9 194.4 193.6 191.9 193.8 1,888.9 1,871.3 1,906.8 1,900.8 1,899.6 1,423.3 1,409.8 1,437.7 1,431.3 222.4 224.7 225.5 219.8 244.0 243.3 241.7 244.4 4,224.9 4,172.1 4,273.8 4,271.2 4,277.2 3,892.0 3,846.6 3,934.3 3,932.3 76.4 75.2 76.8 77.2 256.4 262.1 250.3 262.3 224.2 231.8 228.9 232.6 657.1 658.6 647.5 636.9 659.3 9,474.1 1,695.0 627.4 391.5 9,345.9 1,669.3 617.9 382.0 9,584.5 1,723.1 630.4 394.4 9,575.6 1,722.0 626.5 398.8 595.5 586.2 604.2 602.2 - 1,083.8 839.7 828.1 848.6 847.7 - 1,065.9 1,047.3 1,082.8 1,081.5 - - - 1,703.9 - 199.7 - 3,888.4 - - 1,687.9 - 197.5 - 3,837.6 - - 1,718.8 - 201.9 - 3,934.1 - - 1,713.9 - 202.9 - 3,935.3 - - - - _ - - - - - - - - - - - - - - - _ - - _ - - - - _ - - - - - - - - - - - - - Educational services Elementary and secondary schools Colleges and universities Vocational schools 82 821 822 824 2,525.5 753.8 1,426.6 106.7 2,395.0 756.3 1,310.1 102.9 2,710.7 780.6 1,582.2 110.9 2,507.2 774.1 1,393.0 107.2 2,726.4 Social services Individual and family services Job training and related services Child day care services Residential care Social services, nec 83 832 833 835 836 839 3,177.2 908.0 399.1 726.3 904.4 239.3 3,135.3 895.8 389.5 729.4 891.6 229.0 3,223.1 916.7 401.0 739.4 914.4 251.6 3,208.0 913.0 397.4 738.0 909.0 250.6 3,222.3 Museums and botanical and zoological gardens 84 108.1 100.1 103.3 97.3 97.3 - - - - - - - - - - - - - - - - 740.5 912.4 - Membership organizations Business associations Professional organizations Labor organizations Civic and social associations 86 861 862 863 864 2,476.7 111.8 73.2 143.2 472.2 2,436.6 110.7 72.6 137.5 440.8 2,466.0 111.6 73.8 146.9 458.7 2,438.6 111.2 73.7 134.6 447.2 2,451.9 Engineering and management services Engineering and architectural services Engineering services Architectural services Surveying services Accounting, auditing, and bookkeeping 87 871 8711 8712 8713 872 3,645.0 1,035.5 786.5 185.6 63.4 711.4 3,593.4 1,036.3 786.8 187.3 62.2 708.2 3,656.1 1,021.4 777.2 181.7 62.5 710.0 3,645.3 1,010.6 767.9 181.2 61.5 724.9 3,671.3 1,006.5 - 2,743.1 785.3 344.0 637.5 783.9 192.5 2,703.9 773.9 335.4 641.5 770.2 182.9 2,781.8 792.9 345.0 648.1 793.1 202.7 - - 2,764.1 788.3 340.7 646.4 787.2 201.5 - - - 53.0 52.4 53.5 53.5 - - - - - - - - - - - - - - 2,775.3 839.9 644.5 144.0 51.5 541.5 2,737.9 838.7 642.6 145.7 50.4 534.7 2,779.6 826.2 634.9 140.6 50.7 545.7 2,765.1 815.7 625.6 140.0 50.1 559.5 - (In thousands) Industry 1987 SIC Code Production workers1 All employees 529.1 190.3 113.8 134.1 864.8 237.2 326.6 35.0 513.1 186.8 106.7 129.6 851.4 233.5 325.9 36.1 535.2 195.6 115.3 135.1 872.5 241.2 324.5 33.9 525.7 194.1 110.3 132.8 864.2 236.9 325.8 33.5 36.1 35.9 33.9 32.9 - 21,695 - - - - - 2,648 - - - - - - Dec. 2002 Jan. 2003P 687.7 263.4 139.4 173.0 1,210.4 325.3 485.9 50.9 669.0 257.4 133.0 167.5 1,179.9 319.2 473.7 51.5 692.0 265.2 140.9 175.8 1,232.7 329.7 496.5 50.9 682.6 263.9 135.5 173.6 1,227.2 327.0 499.1 51.6 46.9 47.1 44.9 43.9 43.9 21,260 21,050 21,703 21,283 2,620 2,587 2,652 2,641 Executive, by agency Department of Defense Postal Service4 Other executive agencies Legislative Judicial 2,555.3 618.0 817.2 1,120.1 30.8 33.8 2,523.8 614.1 830.6 1,079.1 30.3 33.2 2,587.4 619.9 811.6 1,155.9 30.9 34.0 Federal Government, except Postal Service 1,802.7 1,756.7 1,840.7 1,839.1 3731 44.7 22.0 44.7 21.7 44.5 21.8 44.3 21.7 806 13.4 345.2 215.9 13.4 338.5 216.5 13.3 346.0 217.7 13.2 345.0 218.3 4,946 88.9 52.7 2,876.1 350.4 2,146.9 213.5 4,847 89.3 51.5 2,794.0 350.9 2,066.0 216.5 5,049 88.2 51.8 3,010.8 350.8 2,284.6 211.2 4,864 88.2 51.7 2,826.0 350.8 2,098.9 211.8 165.4 160.6 164.2 164.5 1,928.6 2,799.5 1,912.6 2,781.4 1,897.7 2,763.9 1,897.8 2,764.8 13,694 492.9 9,038.7 651.0 7,798.5 152.0 13,616 491.1 9,087.4 641.9 7,890.6 150.2 14,002 494.2 9,398.0 657.7 8,170.5 151.8 13,778 493.2 9,206.3 657.6 7,986.9 150.7 437.2 404.7 418.0 411.1 4,162.2 5,895.2 4,037.7 5,725.6 4,110.2 5,831.9 4,078.9 5,791.5 873 8731 8732 8733 874 8741 8742 8743 89 Services, nec Government Federal Government 3 3 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 1 806 82 806 82 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 Excludes nonoffice commissioned real estate sales agents. 3 Prepared by the Office of Personnel Management. Data relate to civilian employment only and exclude employees of the Central Intelligence Agency, the Defense Intelligence Agency, and the National Security Agency. Feb. 2003P Jan. 2002 Jan. 2002 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 Jan. 2003P Avg. 2002 Avg. 2002 Feb. 2003P - 1,230.0 - Dec. 2002 — - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - — - — — — - - - 1,848.6 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - — - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 5,063 2,291.1 - 2,771.8 13,984 — — - - - - - - - - - - - - - - - - - - - - - - - 8,186.9 - - - - - - - - - - - - -< - - - - - - - - - - 5,796.8 4 Includes rural mail carriers. ~ Data not available. P = preliminary. NOTE: Establishment survey estimates currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. (In thousands) Avg. 2002 Dec. 2001 Oct. 2002 Nov. 2002 Dec. 2002 63,991 64,700 64,570 64,842 64,833 51,924 52,444 52,172 52,315 52,375 6,007 6,151 5,987 5,953 5,921 75 78 73 73 73 735 730 748 742 735 5,198 5,343 5,166 5,138 5,113 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 2,595 140.2 157.5 91.2 90.2 316.3 392.2 554.9 369.5 325.8 157.2 2,701 142.9 158.6 93.4 95.7 323.8 407.4 597.5 386.7 335.2 160.2 2,555 139.6 154.9 91.6 88.1 315.7 384.8 537.2 364.1 320.1 158.7 2,538 139.3 153.9 92.0 87.7 312.7 382.0 528.4 364.0 319.4 158.8 2,532 138.6 153.0 91.7 87.4 312.3 382.2 528.9 363.3 318.7 156.1 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 2,603 553.4 11.9 195.5 367.3 149.2 628.2 339.8 20.2 307.4 29.6 2,642 549.2 11.7 203.9 377.4 153.0 648.5 338.7 20.7 308.8 30.3 2,611 567.2 14.0 192.6 362.2 150.0 627.8 339.5 20.5 307.5 29.8 2,600 557.8 13.7 191.1 363.0 149.0 629.2 340.1 19.9 306.8 29.1 2,581 550.1 13.3 191.2 359.9 147.0 628.8 339.6 19.9 302.5 28.2 57,984 58,549 58,583 58,889 58,912 Transportation and public utilities 2,063 2,142 2,057 2,048 2,043 Wholesale trade 2,071 2,083 2,073 2,063 2,069 12,198 12,657 12,215 12,427 12,553 4,874 4,874 4,880 4,894 4,899 Services 24,711 24,537 24,960 24,930 24,890 Government Federal State Local 12,067 1,114 2,566 8,388 12,256 1,079 2,612 8,565 12,398 1,133 2,642 8,623 12,527 1,142 2,657 8,728 12,458 1,146 2,627 8,685 Industry Total Total private Goods-producing Mining Construction Manufacturing Service-producing Retail trade Finance, insurance, and real estate NOTE: Establishment survey estimates currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information, (In thousands) Dec. 2002 1,859.6 476.2 181.4 220.8 161.5 81.4 1,895.4 481.8 185.3 226.4 163.5 84.1 1,865.3 476.4 181.1 223.5 161.2 82.5 (1 ) (> < (1) > 271.1 133.5 287.4 144.0 277.7 137.6 10.5 2.8 Arizona Phoenix-Mesa Tucson 2,228.2 1,566.5 344.1 2,298.4 1,613.5 352.9 2,252.6 1,581.8 345.2 8.9 2.3 1.7 Arkansas Fayetteville-Springdale-Rogers Fort Smith Little Rock-North Little Rock Pine Bluff 1,125.3 161.6 99.0 312.5 35.3 1,156.3 171.3 100.4 318.8 36.1 1,134.2 168.0 98.9 314.9 35.6 14,237.6 202.2 299.5 3,983.6 145.7 1,025.3 1,381.5 1,034.9 728.8 127.8 1,206.9 987.8 919.4 161.9 184.3 187.4 173.4 277.7 14,584.7 206.3 315.6 4,056.6 153.3 1,053.9 1,418.5 1,075.6 750.8 132.7 1,237.4 982.5 891.7 166.0 188.3 197.6 182.1 281.6 14,334.2 203.8 309.5 3,990.4 150.1 1,036.5 1,393.0 1,061.4 741.0 129.5 1,220.3 965.6 875.3 163.2 183.6 193.2 179.4 277.3 Colorado Boulder-Longmont 2 Colorado Springs Denver 2 2,147.2 181.8 236.1 1,126.9 2,195.3 183.8 243.4 1,147.5 2,149.2 157.4 237.4 1,144.0 Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury 1,648.1 183.2 87.7 603.1 255.2 143.1 198.2 82.7 1,682.2 188.7 92.4 615.0 263.2 146.7 198.3 84.4 1,637.2 183.4 89.9 599.7 254.4 143.1 193.6 83.6 403.5 54.0 315.3 415.1 56.0 318.9 District of Columbia Washington PMSA 648.3 2,743.7 Rorida 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 7,101.6 163.9 698.2 180.9 121.1 551.6 187.0 188.1 1,007.3 890.3 153.2 269.5 155.7 1,202.2 519.9 Alaska Anchorage 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 Delaware Dover Wilmington-Newark Jan. 2003P Jan. 2002 Jan. 2002 Alabama Birmingham Huntsville Mobile Montgomery Tuscaloosa Construction Natural resources and mining Total State and area 13.2 (1 I> (1) 6.5 .9 () 22.5 8.2 .4 3.8 (1) 1.3 .6 1.1 .5 .2 .3 .3 .9 .3 .2 .3 .7 < (1) > 96.0 30.6 7.1 16.3 8.6 9.3 9.9 2.6 10.1 2.5 12.2 6.5 14.1 7.0 12.2 6.5 8.6 2.3 1.4 8.4 2.2 1.4 167.0 122.2 21.9 174.2 126.0 22.9 170.9 123.8 22.8 6.6 51.3 7.7 4.4 16.5 1.0 54.9 7.5 4.6 17.4 .9 53.4 7.3 4.4 16.8 .9 735.4 12.9 17.5 132.8 9.7 61.9 76.0 84.8 51.8 6.4 73.5 44.6 41.8 7.9 12.4 11.9 13.9 15.3 777.2 13.4 18.4 134.8 10.7 65.2 81.1 93.0 56.4 6.4 76.9 43.7 41.2 8.0 13.4 13.4 15.6 14.2 750.2 13.3 18.1 131.0 10.0 62.5 77.7 90.6 54.1 6.5 75.1 43.2 39.0 7.8 12.6 12.8 15.2 13.9 150.5 7.6 14.4 81.6 154.0 7.4 15.0 83.6 147.8 6.4 14.0 81.0 59.4 6.6 3.8 20.8 9.4 4.7 5.7 3.4 61.5 6.8 4.4 21.9 10.1 4.4 6.1 3.7 55.8 6.3 4.0 20.2 9.0 4.1 5.6 3.3 23.4 2.7 17.9 24.0 2.8 18.1 23.0 2.7 16.8 11.1 160.1 12.4 166.4 11.7 161.9 426.0 9.8 43.5 21.4 4.9 32.6 12.8 11.9 38.7 55.1 11.7 18.2 6.4 61.7 35.3 438.8 10.5 42.9 21.8 5.2 33.1 13.3 10.9 41.9 56.4 11.0 19.7 6.7 65.2 36.0 429.5 10.2 42.4 21.1 5.1 33.0 12.9 10.7 40.4 55.8 10.9 19.7 6.5 62.8 34.7 < > o 6.8 .9 22.5 7.8 .3 3.4 (1) (1) (1) 1.2 .5 1.1 .6 .2 .3 .2 .8 .3 .2 .3 .7 21.9 7.7 .3 3.5 (1) (1) 13.2 5.1 .7 .8 (1) (!>) 1.2 .5 1.1 .6 .2 .3 .2 .8 .3 .2 .3 .7 12.8 ( 4.8 ( 3>) 4.6 .7 .6 <1 > ( ( > (1>) < > (1> (<1) > o( 1 ) (<1) > 401.9 54.1 309.5 o o (1) O (<1) > <3> 665.3 2,826.3 654.0 2,786.6 ( 11> ( ) (1) (1) 7,325.8 169.3 719.7 187.4 123.4 567.1 191.5 190.3 1,035.5 923.1 156.0 275.7 160.3 1,237.4 540.0 7,216.4 166.8 707.9 185.7 121.2 557.0 188.6 187.0 1,019.0 907.0 153.8 273.3 155.8 1,215.8 534.4 o o < (1> > (1) <!> (1) ( 1 (l> ) (11) () o(1) (1) (11) ( ) < > < (1) > ( Jan. 2003P 99.9 31.1 7.3 16.5 8.7 9.6 ( o Dec. 2002 96.8 30.7 6.7 15.1 8.5 8.1 (1) 12.9 <l> ( ) Jan. 2002 13.2 13.3 (1) O (1) ( (1>) O (1) 1 (1) Jan. 2003P Dec. 2002 > o o o o(1) (<11) > () (<11) > () < > < ( > > < > < (1) > (<1> > <!> ( > < > O < > < > o o o o o( (1>) (In thousands) Jan. 2002 Dec. 2002 Information Trade, transportation, and utilities Manufacturing State and area Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P 310.1 44.7 34.2 23.1 15.6 11.7 304.7 42.2 33.9 22.0 15.8 11.6 302.7 41.3 33.4 21.8 15.7 11.3 370.7 103.0 28.8 49.6 30.8 13.9 379.7 105.3 28.8 51.1 31.3 13.9 369.0 103.0 27.7 50.0 30.4 13.9 34.7 15.4 2.5 3.3 3.2 1.1 33.9 15.1 2.4 3.2 2.8 1.0 33.5 15.1 2.4 3.2 2.8 1.0 8.2 1.8 6.3 1.9 8.2 1.8 56.6 31.5 59.7 33.3 57.3 31.8 6.9 4.5 7.2 4.7 6.9 4.5 Arizona Phoenix-Mesa Tucson 187.6 141.3 31.5 179.2 134.3 29.5 177.7 132.7 29.3 437.2 321.6 54.1 460.3 336.9 57.9 446.1 327.6 55.2 53.2 40.7 7.9 50.0 37.4 7.7 49.9 37.2 7.6 Arkansas Fayetteville-Springdale-Rogers Fort Smith Little Rock-North Little Rock Pine Bluff 215.5 30.6 26.5 27.3 7.3 212.7 30.5 26.0 26.3 7.2 212.2 30.5 25.9 26.0 7.1 236.9 38.8 19.1 67.8 6.7 246.4 43.1 19.8 68.6 6.8 239.2 42.5 19.1 66.6 6.6 20.8 2.3 1.7 9.2 .3 20.1 2.2 1.7 9.3 .2 19.8 2.2 1.7 9.1 .2 1,648.3 10.8 27.6 538.0 20.1 102.9 194.1 113.9 41.9 8.5 114.2 51.0 213.4 13.3 27.3 20.8 19.5 38.0 1,600.6 10.3 29.9 526.3 21.7 101.1 184.3 113.6 39.0 8.1 109.5 49.1 194.5 13.2 25.3 20.7 20.6 37.6 1,581.5 10.5 29.0 521.8 21.4 99.2 183.1 113.3 38.4 7.9 109.0 48.3 191.4 12.9 25.3 20.5 20.8 36.9 2,697.4 38.0 57.4 776.3 30.8 204.5 260.1 219.7 118.2 24.8 206.6 177.1 136.8 28.5 33.8 42.8 32.1 51.8 2,808.9 40.4 60.7 811.8 33.3 207.8 272.3 233.9 125.1 26.5 214.5 177.3 136.4 28.7 35.4 45.8 35.0 53.8 2,722.7 39.4 57.8 786.6 31.7 202.1 261.6 226.7 120.2 25.3 209.4 174.2 131.3 28.1 33.8 44.0 33.6 53.2 510.1 2.6 5.5 209.8 2.0 36.6 37.4 14.5 22.9 2.4 38.0 51.6 36.9 4.1 4.2 3.2 2.5 8.3 477.9 2.4 5.1 199.3 1.8 33.9 34.2 13.8 20.8 2.5 35.7 47.8 31.5 4.0 4.2 3.0 2.5 8.4 473.5 2.4 5.0 196.0 1.8 34.2 34.1 13.6 20.9 2.5 35.1 47.9 31.5 3.9 4.2 3.0 2.5 8.3 Colorado Boulder-Longmont 2 Colorado Springs Denver 2 169.2 26.6 22.8 72.3 162.2 25.1 22.5 71.0 159.5 21.7 22.3 74.7 409.0 28.0 37.6 231.3 425.9 29.7 39.5 240.4 410.4 23.2 37.1 237.8 98.1 13.7 13.9 60.8 90.0 13.5 11.6 55.5 90.0 10.7 12.4 58.5 Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury 217.1 30.9 14.3 80.2 33.3 20.2 13.0 14.2 209.8 29.4 14.4 77.4 32.7 20.3 12.1 13.1 208.8 29.1 14.4 75.9 32.6 20.0 12.0 13.2 309.4 37.1 18.2 106.8 46.4 23.6 35.9 15.3 322.6 38.7 19.7 110.0 48.3 25.6 35.3 16.0 310.2 37.9 18.8 106.7 45.9 24.3 34.0 15.4 42.2 4.6 3.1 12.2 9.8 2.5 7.3 1.4 40.2 4.6 3.0 11.2 9.8 2.5 6.7 1.4 39.9 5.0 3.1 11.1 9.8 2.5 6.6 1.4 Delaware Dover Wilmington-Newark 37.1 5.3 24.1 36.1 4.1 24.0 34.3 4.1 22.5 74.9 9.8 57.7 79.8 9.8 57.8 76.7 9.6 55.4 7.8 .7 6.8 7.8 .6 7.0 7.7 .6 6.9 District of Columbia Washington PMSA 3.2 78.0 2.9 75.2 2.8 74.3 27.5 393.3 28.7 412.2 27.4 403.9 25.7 122.2 25.6 111.0 25.2 108.9 412.0 11.2 34.1 6.3 4.4 34.7 17.1 22.8 56.7 45.6 7.3 19.9 3.5 76.5 24.7 403.1 10.6 33.9 6.2 4.4 34.0 16.6 22.7 57.2 43.8 7.4 18.4 3.7 75.6 24.1 399.7 10.5 34.0 6.2 4.4 33.8 16.5 22.6 56.4 43.4 7.3 18.0 3.6 75.4 23.8 1,476.5 32.9 156.1 39.3 16.9 121.8 46.1 34.8 260.0 174.1 28.4 48.3 22.5 227.1 100.2 1,517.8 33.9 158.4 41.1 17.3 124.2 45.8 35.4 264.7 180.3 29.8 49.8 22.9 231.2 106.2 1,471.0 32.8 153.1 40.1 16.6 121.0 44.5 34.8 255.7 174.1 28.7 47.8 21.6 224.4 104.0 181.1 4.0 20.7 4.4 2.1 13.7 2.6 2.7 32.2 24.6 4.7 4.3 4.0 36.7 12.2 172.2 4.2 20.1 4.3 1.9 13.1 2.3 2.5 29.8 23.7 4.0 4.3 4.0 34.4 11.6 169.5 4.2 19.7 4.4 1.9 13.0 2.3 2.5 29.7 23.6 4.0 4.2 3.9 33.9 11.6 Alabama Birmingham Huntsville Mobile Montgomery Tuscaloosa Alaska Anchorage 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 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 (In thousands) Financial activities State and area Jan. 2002 Dec. 2002 Professional and business services Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Education and health services Jan. 2002 Dec. 2002 Jan. 2003P Alabama Birmingham Huntsville Mobile Montgomery Tuscaloosa 96.8 39.6 5.7 12.0 10.7 2.9 97.2 39.6 5.6 12.2 10.7 2.9 96.9 39.3 5.3 12.2 10.6 2.9 177.5 61.7 31.5 24.6 16.4 4.7 185.2 62.6 31.6 26.1 16.7 4.6 180.9 62.3 30.7 25.1 16.1 4.6 177.1 52.0 11.1 23.8 17.6 5.7 186.1 54.7 12.5 24.8 18.0 5.8 183.2 54.1 11.4 24.8 17.9 5.7 Alaska Anchorage 13.2 8.1 13.5 8.3 13.2 7.9 21.2 15.3 22.8 17.4 21.8 15.7 29.0 15.5 30.8 16.6 30.4 16.6 153.2 129.8 14.0 153.0 129.9 14.1 152.0 128.9 14.3 303.6 244.1 40.4 314.0 252.4 40.9 308.9 249.2 40.2 227.3 148.5 42.9 241.1 157.8 44.7 239.6 156.9 44.6 49.4 6.3 3.5 18.9 1.4 50.4 6.7 3.6 19.6 1.4 49.7 6.7 3.6 19.4 1.4 96.4 24.4 10.0 37.2 2.0 100.5 26.3 9.6 38.9 2.2 98.4 25.7 9.5 39.1 2.1 133.0 14.5 12.4 38.6 5.2 138.2 15.1 13.0 40.4 5.4 137.1 15.0 13.0 39.7 5.4 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 834.8 7.7 14.4 228.1 5.4 59.0 107.9 38.7 49.8 6.4 72.1 97.4 35.0 8.6 10.3 9.0 7.0 20.9 859.8 8.1 14.9 232.3 5.7 60.3 113.4 40.6 52.9 6.7 73.1 97.7 34.5 9.2 10.5 9.3 7.2 21.9 855.1 8.2 14.7 231.4 5.6 60.2 112.8 40.3 53.0 6.7 72.9 95.9 34.6 9.2 10.3 9.2 7.1 21.8 2,090.4 23.2 26.2 568.5 15.9 151.0 243.6 101.2 85.9 13.8 197.5 192.5 178.7 19.6 19.0 16.5 16.9 35.9 2,144.3 23.7 28.3 579.2 16.3 150.6 253.3 106.4 89.8 14.2 201.9 185.4 165.0 20.4 19.5 17.7 17.7 36.7 2,102.6 23.6 28.2 570.7 15.9 148.9 251.3 105.0 87.3 13.9 198.0 179.9 163.9 20.5 18.9 17.4 17.7 35.6 1,465.5 20.1 37.0 437.5 17.2 113.8 115.3 109.7 72.5 11.6 117.8 96.1 88.8 18.8 23.5 22.5 22.2 25.4 1,524.5 19.4 39.7 459.1 18.1 125.2 119.3 112.0 72.4 12.0 118.2 98.4 97.0 19.3 24.0 24.0 23.8 26.6 1,499.4 18.9 39.6 449.5 18.2 124.0 117.3 111.6 73.4 11.7 116.6 97.3 93.7 19.0 23.9 24.3 23.9 26.1 Colorado Boulder-Longmont 2 Colorado Springs Denver 2 147.7 8.2 15.9 93.3 148.7 8.2 16.9 92.5 149.9 7.6 16.8 94.5 284.6 30.3 32.5 173.5 279.4 29.7 34.4 170.1 270.5 23.6 33.5 168.4 204.2 15.5 21.8 107.8 212.4 16.0 23.1 111.1 211.0 15.5 22.3 111.3 Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury 142.8 11.8 4.2 73.0 13.6 3.7 27.0 3.7 142.9 11.1 4.2 71.9 14.1 3.6 28.5 3.7 141.1 10.9 4.3 72.1 13.7 3.6 27.6 3.7 197.7 20.4 10.5 61.1 26.7 10.8 44.7 7.8 201.3 20.5 10.2 61.8 27.7 10.9 43.9 8.0 194.7 19.2 9.9 59.2 26.7 10.9 42.8 8.1 255.1 30.3 12.3 87.1 56.6 18.1 22.1 14.9 264.9 33.2 12.7 89.9 59.5 18.9 21.9 15.2 259.8 31.6 12.9 89.0 58.3 18.6 22.0 15.3 Delaware Dover Wilmington-Newark 38.8 2.6 33.1 37.3 2.5 31.5 37.6 2.5 31.5 68.9 3.6 62.3 68.9 4.4 61.7 66.4 3.9 60.4 47.6 6.5 36.3 49.6 6.9 38.1 49.0 6.7 37.9 District of Columbia Washington PMSA 30.4 149.9 30.9 153.2 30.2 152.4 135.2 565.7 139.4 576.8 137.0 576.6 86.9 289.5 91.7 303.0 88.9 297.9 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 469.5 7.0 55.6 10.5 6.7 58.4 10.6 7.2 66.4 53.6 6.6 13.7 6.6 90.6 38.6 474.5 7.2 56.7 10.8 6.8 58.0 11.1 7.8 64.7 51.9 6.5 13.6 6.6 93.0 39.7 473.1 7.0 56.5 11.2 6.8 57.9 11.3 7.5 64.9 51.1 6.5 13.5 6.7 92.7 39.2 1,185.3 17.2 117.7 24.3 9.4 87.5 25.4 31.4 149.2 149.6 18.7 66.1 17.6 276.3 95.3 1,239.5 18.0 124.3 26.9 8.5 91.0 27.3 31.5 162.6 155.3 18.9 66.5 19.5 286.4 102.1 1,228.3 18.2 121.8 26.0 8.3 89.3 26.6 30.9 160.6 153.4 18.9 67.1 18.3 281.9 102.0 839.5 28.7 75.4 17.1 19.8 62.0 21.9 24.7 122.6 86.9 24.6 34.3 15.9 137.6 69.9 874.1 29.8 79.2 18.2 20.3 64.4 22.9 25.0 128.3 91.2 26.3 37.0 15.7 145.8 71.1 863.9 29.4 77.5 18.3 20.6 63.9 22.5 24.7 127.4 89.9 26.4 36.6 15.6 144.6 71.5 Arizona Phoenix-Mesa Tucson Arkansas Fayetteville-Springdale-Rogers Fort Smith Little Rock-North Little Rock Pine Bluff (In thousands) Jan. 2002 Dec. 2002 Government Other services Leisure and hospitality State and area Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P 144.2 35.5 13.9 21.1 13.0 7.3 151.6 36.8 15.2 21.6 13.2 8.0 147.5 36.7 14.9 21.2 12.9 7.7 86.0 23.8 7.3 12.7 8.2 3.8 84.8 23.4 7.0 12.9 8.0 3.7 85.4 23.3 7.0 12.9 8.0 3.7 352.5 69.8 39.7 35.5 37.5 22.2 359.0 71.0 41.0 36.0 38.3 23.0 357.0 70.7 41.2 36.0 38.2 22.4 24.0 13.1 27.2 14.6 24.7 13.7 11.6 5.5 12.4 6.3 12.0 5.9 77.7 28.9 83.5 31.3 80.9 30.7 223.0 148.9 37.8 229.9 154.8 37.7 227.8 152.9 37.5 84.9 59.9 14.2 85.6 61.1 14.7 85.7 61.3 14.6 382.3 207.2 77.7 402.5 220.6 81.4 385.6 209.1 77.7 80.5 12.0 6.7 22.9 1.9 85.6 13.2 7.0 23.4 2.1 82.4 12.6 6.8 23.4 2.1 40.1 4.5 2.8 11.9 1.4 40.6 4.7 2.8 11.9 1.4 40.0 4.6 2.8 11.8 1.4 194.9 20.5 11.0 62.2 8.1 200.1 22.0 11.4 63.0 8.5 195.4 20.9 11.3 63.0 8.4 1,318.1 16.8 25.9 341.9 13.3 76.0 148.8 106.2 68.5 19.1 123.7 106.8 65.0 19.4 18.4 14.6 18.2 25.8 1,380.2 17.0 27.3 352.8 14.0 81.0 155.8 105.8 69.5 19.7 133.5 110.0 66.7 20.8 20.3 16.0 18.3 27.6 1,366.3 16.7 26.6 348.6 13.6 80.5 153.2 105.4 70.9 19.1 132.1 108.6 65.8 20.2 19.8 15.1 17.9 27.2 492.5 6.8 11.6 141.7 6.0 36.6 43.8 37.1 25.8 4.2 43.3 38.7 25.8 5.8 6.5 6.0 5.2 9.7 502.7 6.9 12.9 145.2 6.3 38.3 45.9 39.0 26.4 4.7 48.8 39.0 26.1 6.0 6.6 6.4 5.4 8.4 496.4 6.8 12.8 143.3 6.2 37.8 45.4 38.5 25.9 4.5 48.4 38.7 25.9 5.9 6.6 6.3 5.3 8.3 2,422.6 55.1 76.0 605.2 25.3 181.7 153.9 208.0 191.0 30.4 219.9 132.0 96.9 35.0 28.6 39.9 35.6 45.9 2,486.1 56.9 78.1 612.4 25.4 189.3 158.4 216.4 197.9 31.7 225.0 134.1 98.6 35.6 28.8 41.1 35.7 45.7 2,464.6 56.3 77.4 608.0 25.7 185.9 156.0 215.3 196.3 31.2 223.4 131.6 98.0 34.9 27.9 40.4 35.1 45.3 Colorado Boulder-Longmont 2 Colorado Springs Denver 2 242.2 17.6 24.3 100.4 250.3 17.9 25.5 102.5 252.0 14.6 24.5 102.5 84.7 5.6 13.6 43.5 85.4 6.0 13.7 43.8 84.5 5.2 13.8 44.8 344.1 28.7 39.3 157.3 373.8 30.3 41.2 172.2 360.8 28.9 40.7 165.9 Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury 112.9 12.4 6.3 37.7 15.0 13.0 14.5 5.8 123.1 13.5 7.3 39.0 16.5 14.5 14.7 6.4 117.5 12.6 6.7 37.9 15.0 13.4 14.2 6.5 62.1 6.8 3.7 24.0 9.9 4.3 8.9 3.2 63.0 6.9 3.8 25.7 10.3 4.4 9.1 3.5 62.5 6.9 3.8 25.4 10.1 4.3 9.0 3.4 248.7 22.3 11.3 100.2 34.5 42.2 19.1 13.0 252.2 24.0 12.7 106.2 34.2 41.6 20.0 13.4 246.3 23.9 12.0 102.2 33.3 41.4 19.8 13.3 32.4 5.4 23.3 36.5 7.0 23.8 34.5 6.4 22.8 16.9 2.0 12.8 17.4 2.1 13.4 17.4 2.1 13.2 55.7 15.4 41.0 57.7 15.8 43.5 55.3 15.5 42.1 District of Columbia Washington PMSA 43.4 211.8 48.3 234.4 46.0 223.4 54.6 157.6 56.1 162.6 54.8 161.2 230.3 615.6 229.3 631.5 230.0 626.1 Florida Daytona Beach Fort Lauderdale Fort Myers-Cape Coral Gainesville Jacksonville Lakeland-Winter Haven Melboume-Titusville-Palm Bay Miami Orlando Pensacola Sarasota-Bradenton Tallahassee Tampa-St. Petersburg-Clearwater West Palm Beach-Boca Raton 774.6 20.5 71.6 23.1 12.1 49.4 15.9 18.2 89.8 156.2 14.7 27.6 12.0 102.9 60.6 811.1 21.2 74.4 22.7 11.8 52.7 16.6 18.8 91.9 167.9 15.0 28.1 12.1 105.6 63.1 800.5 20.7 73.3 23.4 11.8 49.7 16.5 18.4 90.3 164.5 14.5 28.2 11.6 103.4 62.9 303.2 8.0 28.0 7.8 4.2 23.9 7.2 7.3 40.6 44.5 7.6 11.8 8.0 45.8 23.3 316.0 8.5 30.3 8.6 4.4 24.4 7.5 7.6 40.6 46.4 7.8 12.0 8.4 48.0 24.1 312.3 8.5 30.3 8.5 4.4 24.4 7.4 7.5 40.0 46.5 7.7 12.0 8.3 47.6 23.7 1,033.9 24.6 95.5 26.7 40.6 67.6 27.4 27.1 151.1 100.1 28.9 25.3 59.2 147.0 59.8 1,078.7 25.4 99.5 26.8 42.8 72.2 28.1 28.1 153.8 106.2 29.3 26.3 60.7 152.2 62.0 1,068.6 25.3 99.3 26.5 41.3 71.0 28.1 27.4 153.6 104.7 28.9 26.2 59.7 149.1 61.0 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 Delaware Dover Wilmington-Newark (In thousands) Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2002 Dec. 2002 3,863.4 55.6 72.1 2,151.9 195.7 116.2 145.8 134.0 3,927.7 57.9 74.6 2,181.9 199.2 116.5 150.3 139.7 3,850.3 56.3 72.8 2,136.6 194.1 114.4 147.5 137.2 Hawaii Honolulu 541.9 401.8 568.5 422.5 559.9 414.3 <!> (<11) > () (11) () Idaho Boise City 545.8 221.1 570.3 229.5 550.7 222.0 (1) Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island Decatur Kankakee Peoria-Pekin Rockford Springfield 5,778.8 91.7 100.6 4,059.2 175.2 53.9 42.7 167.1 170.6 113.0 5,945.3 94.9 107.7 4,169.7 178.5 54.8 44.2 170.5 175.2 115.2 5,796.7 92.6 101.9 4,068.9 175.3 53.6 43.1 167.8 172.1 113.0 Indiana Bloomington Elkhart-Goshen Evansville-Henderson Fort Wayne Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute 2,833.3 65.1 110.5 159.2 263.1 253.9 862.4 48.9 95.3 56.4 128.8 66.0 2,909.2 66.4 119.1 161.0 270.4 257.8 873.2 50.1 99.0 57.3 133.7 67.8 2,833.3 63.7 118.0 157.1 265.2 250.3 853.7 49.4 93.5 55.6 130.5 65.6 Iowa Cedar Rapids Des Moines Dubuque Iowa City Sioux City Waterloo-Cedar Falls 1,422.7 117.7 281.6 49.8 72.9 63.5 71.7 1,455.9 118.7 286.6 50.9 76.1 65.6 73.6 1,418.1 116.6 283.1 50.2 74.8 64.1 72.4 Kansas Lawrence Topeka Wichita 1,319.8 51.5 104.2 285.0 1,347.5 51.3 103.3 281.8 1,321.2 50.3 101.0 277.4 Kentucky Lexington Louisville Owensboro 1,759.4 271.6 560.5 43.3 1,795.7 279.0 572.1 44.3 1,759.3 273.0 561.5 43.3 Louisiana Alexandria Baton Rouge Houma Lafayette Lake Charles Monroe New Orleans Shreveport-Bossier City 1,874.4 55.0 295.9 79.9 165.9 86.8 73.3 608.5 168.0 1,915.9 56.5 304.3 84.7 170.0 85.8 74.5 612.4 172.5 1,887.1 56.1 299.7 83.6 167.7 85.2 72.5 607.8 170.8 583.7 45.9 150.9 607.6 46.8 158.7 584.2 45.8 153.2 Georgia Albany Athens Atlanta Augusta-Aiken Columbus Macon Savannah Maine Lewiston-Auburn Portland Construction Natural resources and mining Total State and area 12.6 O (1) Jan. 2003P 2> 1.9 3.7 ( ) 1.7 (1) (O11) ( ) 1 ( 1> ( ) 3.8 (1) 9.6 1 () 1.7 ( O O O o( 3> () .8 > > 1 > < () () o o(1) < (1) > <1) 1.7 .2 O < > < (1) > 1.0 21.2 <1 > () 49.6 .2 1.2 6.6 16.4 .8 .2 9.5 3.0 () 31.5 14.4 36.0 15.5 32.0 14.3 9.1 246.4 2.8 3.4 176.5 8.2 2.7 1.6 7.9 7.6 4.8 271.9 3.8 3.9 192.5 8.5 3.1 1.9 8.5 8.1 5.3 254.0 3.6 3.7 181.4 7.6 3.0 1.8 8.3 7.6 4.7 134.4 2.8 3.9 10.1 13.0 15.0 47.3 1.6 3.5 2.0 6.9 3.0 135.3 2.7 4.2 10.0 13.8 15.6 47.4 1.7 3.7 2.1 6.6 3.0 124.0 2.5 3.8 9.3 12.8 14.5 43.4 1.6 3.4 1.9 6.2 2.8 54.8 6.3 12.4 1.6 2.4 2.3 2.4 63.0 6.6 14.0 2.2 2.5 2.8 2.7 55.6 6.3 12.7 1.9 2.3 2.4 2.4 58.2 2.5 4.6 13.6 61.6 2.5 4.7 14.2 57.7 2.5 4.2 13.5 77.9 13.0 28.0 3.0 83.8 13.5 30.6 3.1 79.0 12.8 29.6 2.9 48.2 .2 1.1 6.1 . 16.3 .7 .2 9.2 3.2 119.3 3.9 29.9 4.5 9.2 11.0 3.7 29.8 8.3 116.2 3.7 31.1 4.8 9.2 8.4 3.9 29.8 8.4 114.1 3.7 30.6 4.8 9.1 8.4 3.8 30.4 8.5 2.7 26.4 2.1 7.0 28.5 2.0 8.1 26.1 2.0 7.8 1.7 !> O O ( O1> () 6.9 1 (!> ) J> .8 ( } < > < (1) > 2.0 <1) .2 O (1>) < > ( () .7 O o o < (1) > 1.6 (1) .2 (<3> ( > 1> () 6.4 1 (<!> ) 1.1 6.5 O 0) O <1 > ( ) 49.8 .2 1.0 6.3 16.3 .7 .2 9.2 3.2 1.1 19.7 19.8 O (1) .. 2.7 (O1) .7 (1 O 2.8 1 <l> .8 ( ) 6.6 (1) 3.6 (1) ( 3> .8 26.3 17.8 7.1 1 <!> ) (1 3 26.6 18.0 ( 3> ( (1 ) 24.4 16.5 1.7 ( ) 6.8 1 <!> (1) () ( (!> (11>) 1.9 ( < > (1) () 193.4 3.0 3.0 112.3 12.3 5.4 6.3 8.2 1 () ( Jan. 2003P 197.6 3.0 3.1 115.4 12.9 5.4 6.3 8.2 1 9.5 1 Dec. 2002 199.0 3.0 3.1 118.0 12.8 6.1 6.4 8.4 11.8 11.9 (1 Jan. 2002 O (1) (In thousands) Manufacturing State and area Jan. 2002 Dec. 2002 Information Trade, transportation, and utilities Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P 465.4 7.6 9.6 168.2 26.0 16.5 15.7 14.9 465.2 7.6 9.5 168.9 25.3 15.2 15.7 14.0 461.9 7.6 9.6 167.5 25.4 14.9 15.5 14.0 828.6 11.7 12.5 504.2 32.6 17.1 26.0 28.3 859.3 12.3 12.8 515.6 33.6 18.4 26.9 31.1 829.2 11.5 12.3 500.2 32.2 17.8 25.5 30.1 141.0 1.0 1.1 109.0 3.3 7.8 2.7 2.5 128.1 1.0 1.0 99.3 3.2 6.3 2.6 2.5 126.2 1.0 1.0 97.9 3.2 6.2 2.6 2.5 Hawaii Honolulu 15.6 12.2 14.9 11.5 14.9 11.5 105.5 75.9 109.5 78.4 107.6 77.0 11.7 9.8 11.5 9.4 11.6 9.5 Idaho Boise City 64.3 31.6 63.6 31.0 61.9 30.8 113.5 43.9 117.9 45.4 112.4 43.4 9.2 3.7 9.2 3.6 9.0 3.6 Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island Decatur Kankakee Peoria-Pekin Rockford Springfield 764.9 7.1 9.6 504.5 23.8 11.1 6.1 28.7 41.2 3.8 747.3 7.3 9.9 488.4 22.8 10.7 5.9 28.0 40.6 4.0 740.7 7.3 9.9 483.1 23.3 10.7 5.9 28.0 40.6 4.0 1,194.4 13.6 17.0 852.8 40.2 12.2 10.2 31.6 33.4 17.7 1,226.4 14.1 17.7 878.6 40.8 12.6 10.5 32.8 34.3 18.3 1,187.1 13.4 17.0 855.3 39.7 12.1 9.9 31.7 33.0 17.7 148.5 8.5 2.7 108.0 3.3 .9 .6 3.2 2.5 3.3 147.1 8.7 3.0 107.0 3.2 .9 .7 3.0 2.5 3.5 147.2 8.6 3.0 107.1 3.2 .9 .7 3.1 2.5 3.5 Indiana Bloomington Elkhart-Goshen Evansville-Henderson Fort Wayne Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute 582.4 7.5 51.1 30.2 59.4 38.5 110.8 17.6 20.4 8.1 18.3 10.5 586.6 7.4 59.9 28.7 59.3 37.7 111.2 17.7 20.3 8.1 19.4 10.6 584.3 7.3 60.8 28.6 59.2 37.4 111.2 17.7 20.2 8.0 19.6 10.5 579.0 10.1 17.4 33.2 55.8 55.2 200.6 7.6 15.0 11.9 27.6 14.3 595.6 10.5 17.1 34.8 58.0 57.3 207.0 8.4 15.2 10.2 26.5 14.7 572.1 10.0 16.4 33.5 56.0 54.8 200.0 8.1 14.8 10.1 25.2 14.3 42.9 1.2 .9 3.0 5.0 2.8 16.8 .5 1.2 .5 2.2 .8 42.2 1.2 .9 3.0 4.8 2.7 16.3 .4 1.1 .5 2.1 .8 41.5 1.2 .9 3.0 4.6 2.7 16.0 .4 1.1 .5 2.1 .8 Iowa Cedar Rapids Des Moines Dubuque Iowa City Sioux City Waterloo-Cedar Falls 227.8 18.6 19.4 9.0 5.1 13.1 14.0 225.0 18.0 19.2 8.7 5.3 13.0 14.7 222.8 17.6 19.4 8.8 5.3 13.0 15.0 303.6 25.7 62.9 11.0 12.6 14.2 13.6 307.6 26.3 63.6 11.2 13.5 14.5 13.2 299.8 25.9 62.8 11.0 12.9 14.3 13.1 35.6 6.1 9.8 1.6 2.5 .9 1.0 34.8 5.8 9.7 1.7 2.5 .8 1.0 34.4 5.9 9.6 1.7 2.5 .8 1.0 Kansas Lawrence Topeka Wichita 185.4 3.6 7.2 68.8 180.8 3.6 6.9 62.2 180.0 3.5 6.8 61.9 266.6 8.1 20.2 48.2 273.7 8.2 19.0 49.3 266.1 8.0 18.9 47.4 51.4 2.8 4.9 5.0 50.8 2.6 3.5 5.5 50.2 2.6 3.5 5.4 Kentucky Lexington Louisville Owensboro 279.5 42.6 76.4 6.2 274.0 42.0 74.9 6.1 272.4 41.6 74.6 6.1 370.0 48.7 128.4 9.4 376.2 50.3 128.9 9.2 362.3 48.1 123.8 8.8 32.3 5.9 12.3 .6 31.9 6.1 11.4 .6 31.8 6.0 11.4 .6 Louisiana Alexandria Baton Rouge Houma Lafayette Lake Charles Monroe New Orleans Shreveport-Bossier City 159.9 3.4 22.6 7.1 12.3 9.8 7.5 42.3 13.8 160.6 3.3 22.3 7.6 12.4 9.9 7.7 41.2 14.6 157.4 3.3 21.8 7.4 12.2 9.9 7.7 40.5 14.5 380.5 10.5 59.7 20.1 35.7 16.2 13.6 123.7 32.6 392.3 11.0 62.5 21.7 36.7 17.1 14.2 125.5 33.6 383.0 10.9 59.9 21.6 36.1 16.8 13.3 123.2 33.0 29.3 1.0 5.0 .9 2.6 1.7 1.4 10.0 3.1 29.2 1.0 5.1 1.0 2.7 1.6 1.5 9.2 3.3 29.3 1.0 5.1 .9 2.7 1.6 1.5 9.3 3.2 68.8 6.6 11.5 67.1 6.5 11.3 64.9 6.3 11.1 120.3 9.8 34.5 128.5 10.2 36.3 120.8 9.4 33.4 11.8 .7 4.4 11.6 .6 4.4 11.5 .6 4.3 Georgia Albany Athens Atlanta Augusta-Aiken Columbus Macon Savannah Maine Lewiston-Auburn Portland (In thousands) Professional and business services Financial activities State and area Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Education and health services Jan. 2002 Dec. 2002 Jan. 2003P 212.8 2.1 2.5 147.9 7.0 7.6 9.1 5.4 214.0 2.1 2.5 144.9 7.2 7.9 10.0 5.7 211.7 2.1 2.5 144.2 7.1 7.9 9.9 5.6 517.3 4.8 4.6 356.3 27.9 13.3 15.1 13.4 514.5 5.0 4.8 354.1 29.8 14.3 15.3 15.3 508.0 4.8 4.7 348.1 27.7 14.2 15.2 15.2 363.3 7.3 8.3 193.5 22.6 10.5 18.4 17.2 379.5 8.1 8.7 201.1 23.2 11.0 18.8 17.6 374.7 7.8 8.7 199.7 22.8 10.8 18.8 17.5 Hawaii Honolulu 27.2 21.1 28.0 21.9 28.0 21.8 63.5 52.4 68.9 57.2 67.9 55.7 61.5 48.6 63.7 50.7 63.4 50.4 Idaho Boise City 25.1 11.9 25.1 12.2 25.3 12.0 63.7 29.9 69.8 31.4 66.7 30.5 58.6 26.3 61.2 27.2 60.5 26.5 Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island Decatur Kankakee Peoria-Pekin Rockford Springfield 398.7 12.5 4.2 311.3 8.8 2.4 1.9 8.5 8.0 8.2 403.6 12.1 4.1 313.4 9.0 2.4 2.0 8.5 8.0 8.3 402.7 12.2 4.1 311.3 8.9 2.4 2.0 8.6 8.0 8.2 764.0 9.9 6.7 638.8 19.5 4.6 2.7 16.9 15.6 10.1 794.1 9.9 7.0 663.5 20.4 4.5 2.9 17.3 17.3 10.4 776.4 9.8 6.7 646.8 19.8 4.5 2.9 17.2 17.3 10.3 699.8 9.5 10.8 475.6 21.5 6.6 7.1 27.1 21.2 16.6 716.3 9.6 10.7 489.1 22.4 6.7 7.2 27.5 21.8 16.8 713.0 9.5 10.8 486.6 22.2 6.6 7.1 27.5 21.7 16.6 Indiana Bloomington Elkhart-Goshen Evansville-Henderson Fort Wayne Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute 139.2 2.3 2.8 7.6 14.6 10.4 62.7 1.5 4.5 2.1 6.8 2.5 140.4 2.4 2.8 7.3 14.4 10.6 61.2 1.5 4.5 2.2 6.9 2.5 140.4 2.4 2.8 7.2 14.3 10.6 61.2 1.5 4.5 2.2 7.0 2.5 239.4 4.5 7.3 15.5 20.8 19.9 108.2 3.2 4.5 3.8 10.6 4.6 245.4 4.6 7.3 17.0 23.9 19.6 104.3 3.3 5.2 4.5 11.7 5.1 236.7 3.9 7.0 16.5 23.8 18.9 100.4 3.8 4.3 4.1 11.8 4.2 345.2 7.1 8.7 22.7 32.6 35.4 96.2 3.7 9.6 9.4 28.3 9.8 357.1 7.5 8.9 23.1 33.0 36.4 96.4 3.8 9.5 10.1 30.3 9.9 351.3 7.4 8.8 22.7 32.8 36.4 96.2 3.7 9.5 10.3 29.3 9.9 Cedar Rapids Des Moines Dubuque Iowa City Sioux City Waterloo-Cedar Falls 93.0 8.5 43.9 2.2 2.4 2.8 3.6 94.2 8.5 44.0 2.2 2.6 2.9 3.5 93.1 8.7 43.8 2.2 2.6 2.8 3.5 102.5 12.7 29.2 3.3 5.6 4.3 6.3 107.1 12.9 30.7 3.4 6.1 4.8 6.6 104.4 12.9 29.8 3.5 6.0 4.8 6.3 187.0 14.3 33.4 9.8 5.6 10.0 9.6 194.2 15.0 34.4 10.2 6.0 10.5 9.8 190.8 14.6 34.0 9.8 5.9 10.1 9.7 Kansas Lawrence Topeka Wichita 68.2 1.7 7.2 12.5 69.3 1.8 6.6 12.4 69.3 1.8 6.5 12.4 123.4 3.7 9.7 27.5 126.2 3.6 8.9 26.6 122.5 3.5 8.6 26.4 154.2 5.2 15.5 36.2 160.3 5.4 15.5 37.4 160.0 5.2 15.4 37.3 Kentucky Lexington Louisville Owensboro 83.6 11.2 36.9 2.1 85.0 11.1 37.5 2.1 85.2 11.2 37.6 2.0 149.2 26.4 62.8 2.8 155.3 27.6 64.8 3.4 148.6 26.7 62.5 3.2 217.3 32.9 66.4 5.0 226.6 34.6 68.8 5.2 224.4 34.2 68.6 5.2 Louisiana Alexandria Baton Rouge Houma Lafayette Lake Charles Monroe New Orleans Shreveport-Bossier City 99.0 2.6 16.1 5.3 9.4 3.1 5.6 34.4 7.7 99.7 2.6 16.0 5.3 10.3 3.2 5.5 35.0 7.3 99.2 2.6 16.0 5.3 10.0 3.2 5.5 35.5 7.4 181.9 3.6 36.9 5.8 16.3 6.4 8.8 73.3 14.3 179.6 3.9 35.7 6.7 16.1 6.3 7.3 73.6 13.1 177.5 3.8 35.4 6.7 15.5 6.4 7.2 72.9 13.2 230.3 10.2 30.0 7.2 21.3 10.5 10.7 80.2 23.2 241.3 10.7 31.8 7.5 22.5 10.8 11.5 80.1 23.8 242.6 10.7 31.9 7.5 22.6 10.9 11.3 79.1 23.7 Maine Lewiston-Auburn Portland 34.6 2.8 14.3 35.0 3.1 14.5 34.4 3.1 14.5 49.4 5.5 18.8 50.9 5.8 19.1 49.7 5.8 18.7 101.9 8.5 23.9 106.4 8.7 24.3 104.5 8.7 24.7 Georgia Albany Athens Atlanta Augusta-Aiken Columbus Macon Savannah (In thousands) Jan. 2002 Dec. 2002 Government Other services Leisure and hospitality State and area Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P 318.5 4.0 6.5 182.7 16.8 10.7 12.9 16.5 333.7 4.3 6.8 189.1 17.3 10.9 14.0 16.3 322.4 4.2 6.7 180.8 16.7 10.5 13.6 15.8 183.7 2.8 3.5 91.9 7.8 5.4 5.4 7.2 185.7 2.9 4.0 98.7 7.9 5.5 5.7 8.2 179.6 2.9 3.6 95.7 7.9 5.4 5.6 7.8 621.2 11.3 20.4 278.3 38.9 21.2 34.1 20.2 638.2 11.6 21.4 293.1 38.8 21.6 35.0 20.8 631.4 11.4 20.7 288.5 38.8 21.3 34.5 20.5 Hawaii Honolulu 94.7 55.7 98.8 58.3 98.1 57.6 23.2 18.5 23.9 19.0 23.7 18.8 114.6 91.1 122.7 98.1 118.4 94.2 Idaho Boise City 49.5 18.4 53.2 19.7 51.8 18.7 17.3 6.5 17.4 6.7 16.8 6.5 109.4 34.5 113.1 36.8 110.7 35.7 Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island Decatur Kankakee Peoria-Pekin Rockford Springfield 459.7 8.8 9.4 310.3 17.2 4.6 3.5 15.9 12.5 9.6 495.4 9.3 10.1 337.2 17.8 4.9 3.9 16.5 13.3 10.0 468.5 9.2 9.5 314.9 17.4 4.7 3.8 16.0 12.8 9.9 247.0 3.4 3.1 172.9 6.9 2.5 1.6 7.3 9.7 6.2 257.5 3.6 3.2 175.2 7.1 2.6 1.8 7.5 10.0 6.4 252.4 3.5 3.2 172.0 7.0 2.6 1.7 7.3 9.8 6.3 845.8 15.6 33.7 506.8 25.8 6.3 7.4 20.0 18.9 32.7 876.2 16.5 38.1 522.9 26.5 6.4 7.4 20.9 19.3 32.2 845.6 15.5 34.0 508.7 26.2 6.1 7.3 20.1 18.8 31.8 Indiana Bloomington Elkhart-Goshen Evansville-Henderson Fort Wayne Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute 250.5 6.7 6.6 14.1 21.9 27.5 78.8 4.1 8.0 4.7 10.1 6.3 261.5 6.4 7.0 14.3 23.5 27.7 79.6 4.3 8.4 4.7 10.5 6.3 251.8 5.8 6.7 13.6 22.7 25.9 77.3 4.1 8.2 4.5 10.0 6.1 104.0 2.2 3.8 6.3 12.7 12.1 29.8 1.5 2.9 2.1 4.2 2.5 108.8 2.0 2.6 6.5 12.7 12.5 32.4 1.5 3.1 2.2 4.3 2.7 108.0 2.0 2.5 6.4 12.7 12.3 32.0 1.5 3.1 2.2 4.2 2.6 409.5 20.7 8.0 15.7 27.3 37.1 110.4 7.6 25.7 11.8 13.8 11.7 429.2 21.7 8.4 15.5 27.0 37.7 116.6 7.5 28.0 12.7 15.4 12.2 416.3 21.2 8.3 15.6 26.3 36.8 115.3 7.0 24.4 11.8 15.1 11.9 Iowa Cedar Rapids Des Moines Dubuque Iowa City Sioux City Waterloo-Cedar Falls 115.7 8.7 22.1 5.0 6.1 5.6 5.7 120.4 8.6 22.7 4.8 6.3 5.6 6.2 116.9 8.1 22.4 4.9 5.9 5.4 6.0 55.8 4.6 11.2 2.3 1.9 2.4 2.8 57.1 4.5 11.5 2.4 1.9 2.5 2.9 56.5 4.5 11.4 2.4 1.8 2.4 2.8 245.2 12.2 37.1 4.0 28.7 7.9 12.7 250.5 12.5 36.4 4.1 29.4 8.2 13.0 242.2 12.1 37.0 4.0 29.6 8.1 12.6 Kansas Lawrence Topeka Wichita 103.0 6.0 7.6 24.0 106.6 6.1 7.3 23.9 103.0 6.2 7.3 23.7 52.3 2.8 5.1 11.2 53.6 2.8 4.9 10.7 52.8 2.8 4.9 10.6 250.5 15.1 22.2 37.0 258.2 14.7 26.0 38.5 253.1 14.2 24.9 37.7 Kentucky Lexington Louisville Owensboro 141.8 25.2 49.0 3.5 151.5 26.6 52.5 3.6 150.5 26.0 51.2 3.7 74.3 9.9 29.3 2.8 75.5 10.3 30.0 2.8 73.5 10.2 30.2 2.8 312.3 55.8 71.0 7.9 316.1 56.9 72.7 8.2 311.9 56.2 72.0 8.0 Louisiana Alexandria Baton Rouge Houma Lafayette Lake Charles Monroe New Orleans Shreveport-Bossier City 186.9 4.2 25.4 5.9 14.2 10.8 5.6 78.8 22.0 194.6 4.4 26.8 6.2 14.6 11.1 6.0 80.2 23.0 189.6 4.4 27.3 6.0 14.7 11.1 5.9 79.6 22.8 67.7 2.0 10.8 2.7 5.3 3.0 2.8 22.1 8.3 71.8 2.0 11.0 2.9 5.3 2.9 2.7 23.2 8.6 70.9 2.0 11.1 2.9 5.3 2.9 2.7 23.1 8.5 370.0 13.4 58.3 13.8 23.2 13.5 13.4 104.4 31.7 380.8 13.7 61.0 14.7 23.9 13.8 14.0 105.4 33.6 375.3 13.5 59.5 14.4 23.2 13.3 13.4 105.0 32.8 46.7 3.0 12.2 49.4 2.9 13.8 47.0 3.0 12.8 19.1 1.4 5.0 19.8 1.4 5.2 19.7 1.4 5.1 101.9 5.5 19.3 107.7 5.6 21.7 102.9 5.5 20.8 Georgia Albany Athens Atlanta Augusta-Aiken Columbus Macon Savannah Maine Lewiston-Auburn Portland (In thousands) Total State and area Dec. 2002 Maryland Baltimore PMSA Baltimore City Suburban Maryland-D.C 2,421.1 1,227.4 380.8 913.5 2,495.8 1,251.3 389.5 944.3 2,433.1 1,225.4 380.7 923.5 Massachusetts Barnstable-Yarmouth Boston Brockton Fitchburg-Leominster Lawrence Lowell New Bedford Pittsfield Springfield Worcester 3,209.7 58.2 1,970.9 98.4 51.4 156.4 126.4 64.1 42.1 253.7 230.6 3,264.3 62.2 1,985.5 103.3 52.3 157.3 125.3 65.5 43.0 264.4 231.0 3,174.7 59.4 1,935.7 99.9 52.1 153.6 121.2 64.5 42.2 254.7 224.8 Michigan Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland 4,381.7 286.1 67.2 2,059.8 161.4 563.0 61.3 207.1 238.3 173.1 4,498.4 293.8 69.4 2,077.5 163.6 578.7 64.6 210.6 244.9 180.6 4,370.6 284.1 68.3 2,034.8 154.7 561.9 62.2 202.0 238.8 174.0 Minnesota Duluth-Superior Minneapolis-St. Paul Rochester St. Cloud 2,603.0 112.9 1,695.8 86.4 93.1 2,657.4 117.7 1,731.9 88.0 95.7 2,590.7 113.6 1,685.7 86.4 92.0 Mississippi Jackson 1,111.0 228.0 1,131.8 231.6 1,115.5 228.2 Missouri Kansas City St. Louis Springfield 2,660.5 942.5 1,293.6 163.8 2,678.9 949.2 1,309.7 167.9 2,591.9 920.4 1,281.5 165.7 Montana Billings Missoula 381.7 66.4 49.7 395.8 69.4 52.7 387.0 68.2 50.8 ( ) Nebraska Lincoln Omaha 887.8 153.8 421.8 912.1 161.6 435.2 888.7 156.7 426.3 ( 11 ) ( ) 1,019.1 766.9 189.9 1,060.9 796.6 199.1 1,045.0 789.4 192.6 607.9 107.1 94.9 120.3 621.2 109.3 96.7 127.8 608.6 107.3 95.0 122.7 3,932.8 176.8 652.7 504.9 260.9 648.8 388.5 997.7 221.8 58.8 4,025.3 188.3 663.7 518.7 258.8 664.5 406.6 1,020.1 222.8 60.8 3,927.0 183.1 647.4 508.5 254.4 648.2 393.0 994.9 218.2 59.6 Nevada Las Vegas Reno New Hampshire Manchester Nashua Portsmouth-Rochester New Jersey Atlantic-Cape May Bergen-Passaic Camden Jersey City Middlesex-Somerset-Hunterdon Monmouth-Ocean Newark Trenton Vineland-Millville-Bridgeton Construction Natural resources and mining Jan. 2002 Jan. 2003P Jan. 2002 Jan. 2003P Dec. 2002 159.3 70.1 11.5 73.1 128.4 3.6 76.7 4.5 2.0 6.2 5.8 2.6 1.9 8.3 8.5 138.4 4.1 80.6 4.9 2.1 7.1 5.7 3.3 2.1 9.0 9.1 127.5 3.8 74.2 4.5 1.9 6.6 5.7 3.1 2.0 7.4 8.2 182.3 11.0 2.0 83.7 7.0 25.6 2.2 8.7 8.8 8.2 196.6 11.2 2.2 86.0 6.7 27.3 2.6 9.2 9.8 9.4 180.4 10.2 2.0 78.6 5.9 24.4 2.4 8.1 9.7 8.9 6.3 3.2 .6 106.1 3.6 71.8 3.4 3.9 117.6 4.2 75.6 3.8 4.6 103.2 3.6 67.3 3.4 4.1 8.9 .7 53.3 11.6 54.2 11.7 53.0 11.2 4.1 129.9 46.9 72.6 7.3 130.1 48.8 75.3 7.9 120.9 45.2 69.5 7.6 6.1 18.2 3.4 2.4 21.6 4.1 2.8 20.5 3.6 2.7 1.2 40.0 7.1 20.8 44.0 8.0 24.2 40.9 6.9 22.2 8.5 1.3 .4 85.0 70.6 14.2 91.9 75.9 15.5 88.8 74.0 14.7 .9 26.2 5.8 3.3 4.2 28.0 6.3 3.7 4.4 26.5 6.2 3.5 4.2 1.4 153.0 8.4 26.0 22.4 5.7 23.5 22.0 38.0 5.2 2.1 160.7 8.9 26.1 22.7 6.7 26.1 22.5 40.2 5.5 2.3 150.7 8.8 25.4 22.3 6.4 24.0 21.1 38.6 5.2 2.2 O1 ( ) (31>) O1 (1) <!> (1) <1) 1.3 .6 (O ( 1> (O ( >) (1) (1) < > (1) (1) (1) 8.0 <!> (1) (1) .4 (1) o O (1) ( 11 ) ( ) (1) 6.2 3.3 .5 > (1) 8.1 .5 6.5 3.2 .7 (1>) 6.3 <3> 1 ( ) ( ) .9 (1) > (1) (1) ( 11 ) <) <!> (1) 1.5 ( (1) o .9 ( 11 ) ( ) (1) (1) o 0 ) ( 11 ) ( ) 8.6 1.3 .4 1.6 > 1.2 ( 11 ) ( ) 9.0 1.3 .3 ( 11 ) ( ) (1) (1) (1) (O o1 1.2 O ( 1) (1 ) .4 (1) 4.4 5.9 6.8 < > ( 1) ( ) O1 (1) ( 11 ) ( ) (1) (1) (1) O1 ( 1) ( ) ( 11) < ( > 9.0 .8 4.5 O1 .6 (1) (1) > 8.9 .8 1.5 < > (1) ( 11 ) ( ) (1) (1) (1) O > (1) (1) (1) O ( .7 (1) ( 11 ) ( ) ( 11 ) (1) ( ) ( (1) 1.6 (> Jan. 2003P 167.8 73.2 12.1 77.4 ( ) O Dec. 2002 159.4 69.7 11.2 73.0 ( O1 ( ) Jan. 2002 ( > > (1> (1) ( o1 ( ) < > (1) (In thousands) Manufacturing State and area Jan. 2002 Dec. 2002 Information Trade, transportation, and utilities Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Maryland Baltimore PMSA Baltimore City Suburban Maryland-D.C 159.1 87.0 22.3 39.3 154.6 83.3 22.8 37.9 153.0 82.1 21.7 37.3 461.4 237.8 46.7 164.9 473.2 241.9 45.6 169.0 457.1 234.5 43.7 162.9 55.2 22.5 7.7 28.9 51.1 21.0 7.4 27.2 50.9 20.3 7.1 26.8 Massachusetts Barnstable-Yarmouth Boston Brockton Fitchburg-Leominster Lawrence Lowell New Bedford Pittsfield Springfield Worcester 358.4 1.8 172.6 9.8 10.8 32.1 25.8 11.4 6.1 31.6 32.2 340.7 1.9 163.6 9.6 10.7 29.5 22.9 10.5 5.6 30.6 29.5 338.1 1.8 162.5 9.6 10.6 29.2 23.0 10.3 5.6 30.3 29.0 577.4 14.3 334.3 25.1 10.4 30.4 23.1 13.0 7.8 48.1 43.4 599.4 15.4 346.6 25.3 10.8 31.3 22.9 13.3 8.5 51.2 44.2 575.0 14.4 333.6 24.2 10.5 29.5 21.3 12.8 8.1 49.7 42.0 103.5 1.6 73.4 1.5 .7 4.5 6.8 1.3 .8 5.2 4.4 96.1 1.5 67.8 1.4 .7 4.0 7.0 1.2 .8 5.0 4.1 95.4 1.5 67.1 1.4 .7 4.0 7.1 1.2 .8 5.0 4.1 Michigan Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland 755.6 43.5 16.3 329.9 24.0 139.9 10.6 41.5 24.1 25.4 756.0 42.6 16.5 335.8 25.3 134.2 10.8 41.3 24.2 25.1 745.6 41.3 17.0 332.8 22.6 133.4 10.7 40.7 23.8 24.7 826.1 43.7 12.7 400.2 33.0 109.2 13.8 35.9 38.7 33.2 861.7 45.5 13.4 407.6 33.3 114.6 14.3 38.8 41.7 35.8 821.9 44.1 13.0 390.5 31.6 109.3 13.7 36.2 38.5 32.4 76.1 5.9 .9 40.6 2.5 9.0 .6 2.4 3.5 3.1 74.4 5.7 1.0 39.6 2.4 8.6 .6 2.3 3.8 3.0 74.2 5.7 1.0 39.8 2.4 8.6 .6 2.3 3.8 3.0 Minnesota Duluth-Superior Minneapolis-St. Paul Rochester St. Cloud 357.8 6.8 213.8 11.6 16.3 347.7 6.8 206.2 10.8 16.5 345.1 6.7 205.6 10.6 16.4 525.2 24.6 339.5 13.4 21.8 537.3 25.0 350.0 13.9 21.6 515.5 24.1 335.5 13.3 20.4 67.5 2.7 50.1 .9 1.7 66.5 2.7 50.1 .9 1.8 64.9 2.7 48.9 .9 1.8 Mississippi Jackson 190.6 16.9 184.9 17.4 182.6 17.2 218.1 47.6 228.5 50.9 221.0 49.0 16.5 7.1 16.0 6.7 15.8 6.6 Missouri Kansas City St. Louis Springfield 324.9 79.8 151.7 18.9 316.8 78.6 149.4 18.1 313.6 77.7 148.9 17.7 535.9 203.6 255.0 40.6 550.8 205.5 260.5 41.0 533.9 199.4 256.4 40.1 72.8 53.5 30.8 3.7 69.5 51.8 29.4 3.4 68.6 50.7 28.8 3.4 19.9 3.2 2.8 19.3 3.0 2.8 18.9 3.0 2.8 82.6 17.5 11.7 86.5 18.5 12.2 82.7 17.9 11.8 7.8 1.2 1.3 7.8 1.2 1.3 7.8 1.2 1.4 106.9 16.9 33.6 106.1 16.4 33.0 104.9 16.3 32.9 194.4 27.0 98.0 203.5 28.7 104.3 195.7 27.6 99.1 24.9 3.3 17.2 24.6 3.4 16.7 24.2 3.4 16.4 Nevada Las Vegas Reno 42.1 23.8 13.1 42.7 24.3 13.3 42.2 23.9 13.1 187.5 138.5 42.0 196.7 145.6 43.9 189.8 141.5 41.7 17.5 13.9 3.5 16.4 12.7 3.3 16.3 12.7 3.3 New Hampshire Manchester Nashua Portsmouth-Rochester 87.4 12.2 23.5 14.1 83.3 11.7 22.3 13.9 81.3 11.7 22.1 13.5 137.1 23.7 21.6 25.5 144.6 24.5 22.4 28.1 140.7 23.8 21.8 26.8 13.4 3.2 2.0 3.3 12.9 3.2 1.7 3.2 12.7 3.2 1.7 3.1 372.7 5.0 77.9 49.3 17.3 76.9 17.3 105.4 9.6 10.7 362.9 5.6 75.8 47.8 16.5 75.9 16.2 103.0 8.7 10.6 356.5 5.5 73.7 47.0 16.2 75.6 15.4 101.3 8.7 10.3 879.3 27.2 161.1 119.9 67.8 148.5 86.6 218.0 32.1 11.8 912.9 29.7 164.3 127.0 69.6 155.6 92.4 223.7 32.7 12.6 880.2 27.6 160.7 121.7 68.0 149.7 87.5 216.9 31.9 12.3 121.0 2.0 23.5 9.0 9.8 28.6 11.6 28.0 7.3 1.1 111.1 1.8 20.3 8.4 8.9 25.9 11.0 26.9 7.2 1.0 109.1 1.7 20.5 8.0 8.6 25.8 10.3 25.5 7.0 1.0 Montana Billings Missoula Nebraska Lincoln Omaha New Jersey Atlantic-Cape May Bergen-Passaic Camden Jersey City Middlesex-Somerset-Hunterdon Monmouth-Ocean Newark Trenton Vineland-Millville-Bridgeton (In thousands) Professional and business services Financial activities State and area Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Education and health services Jan. 2002 Dec. 2002 Jan. 2003P Maryland Baltimore PMSA Baltimore City Suburban Maryland-D.C 148.8 79.0 29.3 55.7 151.4 80.5 29.1 55.5 150.3 80.0 28.9 54.6 350.5 170.8 48.5 155.6 362.9 170.5 47.7 160.9 354.6 167.0 45.8 161.5 324.3 190.1 90.8 96.0 337.5 199.3 96.0 98.8 335.3 198.1 95.1 99.1 Massachusetts Barnstable-Yarmouth Boston Brockton Fitchburg-Leominster Lawrence Lowell New Bedford Pittsfield Springfield Worcester 230.2 3.4 173.7 3.5 1.7 5.8 4.4 1.8 2.0 14.4 13.9 230.2 3.7 171.8 3.6 1.8 5.6 4.3 2.0 2.0 14.4 14.3 229.9 3.7 171.5 3.6 1.8 5.6 4.3 2.0 2.0 14.1 14.4 450.5 4.9 325.8 9.1 3.7 19.0 17.6 3.2 3.8 18.8 26.2 446.0 5.6 317.6 10.3 3.7 19.4 17.4 3.6 3.9 19.9 26.0 432.8 5.6 308.2 10.2 3.6 18.5 16.3 3.7 3.8 18.6 25.3 558.0 9.9 355.2 13.5 7.3 22.4 12.9 11.7 7.3 49.2 41.2 580.2 10.5 366.3 14.7 7.7 23.5 13.2 12.0 7.5 51.4 42.0 565.2 10.2 357.9 13.6 7.8 23.6 12.9 12.1 7.6 50.0 41.4 Michigan Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland 212.0 11.1 2.2 114.8 5.8 24.4 2.6 9.3 14.3 7.6 214.8 11.3 2.3 111.4 5.6 24.0 2.5 10.6 15.3 8.0 211.6 11.1 2.2 110.2 5.5 23.0 2.5 9.9 15.9 7.8 574.5 35.3 5.7 360.3 19.6 61.9 4.4 18.7 22.1 22.1 583.5 34.5 5.8 353.0 18.0 64.5 4.7 18.9 21.4 23.1 568.6 33.2 5.5 356.8 17.1 64.3 4.6 18.1 20.8 22.8 520.2 28.5 10.5 242.5 22.2 68.0 8.2 25.7 23.4 25.7 540.9 31.9 10.4 247.2 23.8 73.3 8.7 25.3 25.0 27.3 535.1 30.9 10.5 246.7 22.6 71.3 8.7 25.1 25.4 26.6 Minnesota Duluth-Superior Minneapolis-St. Paul Rochester St. Cloud 168.3 4.7 132.8 2.2 3.7 169.2 4.6 135.6 2.3 4.0 169.4 4.6 133.9 2.3 4.0 290.1 6.4 241.8 4.7 6.3 294.2 6.9 243.5 4.8 6.5 286.3 7.0 236.0 4.6 6.1 346.3 21.4 194.5 32.5 13.9 360.4 22.3 207.0 33.5 14.5 360.3 22.2 204.0 33.5 14.1 45.6 15.5 46.2 16.0 46.0 15.9 75.8 24.7 76.3 24.8 75.8 24.8 111.6 27.6 113.4 27.5 111.9 27.0 158.5 70.2 74.8 9.7 158.7 70.0 74.2 10.2 157.5 68.3 73.4 10.5 302.1 121.2 182.4 12.3 298.4 118.4 176.9 13.1 284.8 112.3 174.3 13.3 345.6 103.9 186.7 28.7 356.6 106.8 190.4 29.8 341.7 102.3 188.1 28.9 Montana Billings Missoula 18.8 3.5 2.3 19.7 3.7 2.4 19.6 3.7 2.3 31.3 8.2 4.6 32.2 8.6 4.9 31.0 8.7 4.7 51.4 10.1 7.5 52.6 10.1 7.5 52.0 10.1 7.4 Nebraska Lincoln Omaha 60.6 10.4 36.8 62.5 10.8 37.3 62.7 11.0 37.2 89.0 15.6 58.7 89.9 17.3 58.1 87.5 16.6 58.0 109.8 18.9 53.2 111.6 19.5 55.1 108.6 19.6 53.4 Nevada Las Vegas Reno 54.4 42.1 10.2 56.1 43.3 10.5 56.0 43.4 10.5 110.7 87.2 19.3 114.2 88.3 20.8 115.0 90.4 19.7 69.1 51.8 17.4 73.1 54.4 18.4 73.1 54.6 18.2 New Hampshire Manchester Nashua Portsmouth-Rochester 36.3 8.4 6.5 7.2 36.9 8.8 6.5 7.4 37.0 8.4 6.3 7.2 53.0 12.9 7.3 11.2 53.4 12.5 7.6 11.2 52.4 12.2 7.9 10.8 90.4 16.2 10.9 17.3 93.6 16.2 11.7 18.7 93.5 16.4 11.4 18.6 277.3 5.6 36.8 32.0 43.3 43.0 21.4 76.6 15.7 2.1 276.4 5.8 37.4 33.0 38.7 41.1 21.4 79.0 16.5 2.3 275.2 5.7 35.7 32.8 38.2 41.1 21.6 77.7 16.6 2.3 569.0 11.9 100.9 61.0 30.8 130.3 43.8 154.9 31.2 2.9 582.3 11.3 103.7 63.2 29.2 134.2 47.2 158.5 30.9 3.0 568.7 11.1 101.6 62.2 29.0 131.5 46.4 152.8 29.1 3.0 517.6 20.8 87.3 70.5 27.6 58.3 68.2 133.3 40.1 8.5 538.7 21.5 91.1 74.4 29.5 60.4 70.2 136.9 42.3 8.9 533.8 21.6 90.4 74.4 29.4 60.0 68.9 135.4 42.0 8.6 Mississippi Jackson Missouri Kansas City St. Louis Springtield New Jersey Atlantic-Cape May Bergen-Passaic Camden Jersey City Middlesex-Somerset-Hunterdon Monmouth-Ocean Newark Trenton Vineland-Millville-Bridgeton (In thousands) Jan. 2002 Dec. 2002 Government Other services Leisure and hospitality State and area Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Maryland Baltimore PMSA Baltimore City Suburban Maryland-D.C 194.9 97.1 24.7 70.0 206.4 102.1 25.3 77.3 196.7 97.6 24.4 73.4 110.1 52.9 16.4 44.0 115.5 55.5 17.6 45.7 115.2 55.9 17.6 45.1 457.4 220.5 83.2 186.1 475.4 224.0 85.9 194.6 460.7 219.8 84.9 189.7 Massachusetts Barnstable-Yarmouth Boston Brockton Fitchburg-Leominster Lawrence Lowell New Bedford Pittsfield Springfield Worcester 254.1 7.6 150.4 9.4 4.1 10.9 8.9 5.9 5.0 20.0 18.1 276.0 8.3 162.3 11.2 4.4 11.7 9.2 6.5 5.1 21.9 18.7 264.0 7.6 154.9 11.3 4.3 11.1 8.8 6.1 5.0 20.2 18.3 114.4 2.5 65.7 4.4 1.7 4.6 3.8 2.4 2.1 9.3 8.2 117.8 2.6 66.9 4.6 1.8 4.7 4.3 2.4 2.0 9.8 8.5 116.2 2.6 65.2 4.5 1.7 4.7 4.2 2.4 2.0 9.4 8.4 433.5 8.6 242.5 17.6 9.0 20.5 17.3 10.8 5.3 48.8 34.5 437.9 8.6 241.3 17.7 8.6 20.5 18.4 10.7 5.5 51.2 34.6 429.1 8.2 240.0 17.0 9.2 20.8 17.6 10.8 5.3 50.0 33.7 Michigan Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland 367.2 20.7 5.3 168.3 14.8 42.9 5.3 19.1 18.4 16.1 376.1 19.0 5.3 173.1 15.8 44.0 5.5 20.7 16.8 15.5 366.4 19.0 5.1 166.9 15.1 42.2 5.1 19.9 16.2 14.4 170.9 8.1 3.0 77.7 6.7 23.0 2.8 8.8 10.9 8.4 177.4 8.3 3.2 79.4 6.8 24.7 3.0 9.1 11.4 8.6 174.7 8.2 3.1 77.5 6.7 25.4 2.9 9.0 11.2 8.4 688.8 78.3 8.6 241.8 25.8 58.7 10.8 37.0 74.1 23.3 708.9 83.8 9.3 244.4 25.9 63.0 11.9 34.4 75.5 24.8 685.3 80.4 8.9 235.0 25.2 59.6 11.0 32.7 73.5 25.0 Minnesota Duluth-Superior Minneapolis-St. Paul Rochester St. Cloud 213.8 11.1 141.3 6.7 7.7 223.1 12.0 149.4 7.0 7.9 219.0 11.5 146.4 6.9 7.7 116.6 5.0 72.9 2.9 4.3 119.2 5.4 73.0 3.0 4.5 115.9 5.3 72.4 2.9 4.4 405.1 23.3 236.8 8.1 13.5 415.7 24.6 240.8 8.0 13.8 404.8 22.7 235.1 8.0 13.0 Mississippi Jackson 115.6 17.9 119.5 17.2 117.5 17.0 36.8 8.4 39.0 8.2 38.6 8.1 238.2 49.9 244.8 50.4 244.4 50.7 Missouri Kansas City St. Louis Springfield 234.9 82.5 121.1 14.5 251.2 87.8 129.1 15.8 238.6 83.0 123.3 16.1 115.5 43.3 56.1 8.1 116.7 43.5 57.7 8.1 113.2 43.9 56.1 8.1 435.9 137.6 162.4 20.0 425.7 138.0 166.8 20.5 415.0 137.6 162.7 20.0 Montana Billings Missoula 46.7 7.9 6.0 49.0 8.5 6.5 48.7 8.5 6.3 15.5 3.2 2.3 16.3 3.2 2.3 16.1 3.2 2.3 83.6 8.2 8.8 84.5 8.5 10.0 83.6 8.3 9.1 Nebraska Lincoln Omaha 71.8 13.9 36.4 73.2 14.3 38.1 70.7 13.9 36.9 32.8 5.9 14.5 33.4 6.2 14.0 33.4 6.0 14.0 156.4 34.8 52.6 162.1 37.0 54.4 158.9 35.4 56.2 288.9 232.1 38.6 294.1 236.7 39.4 293.8 237.0 38.6 29.0 22.0 6.5 30.1 22.7 6.7 29.8 22.6 6.7 125.9 83.6 24.8 137.0 91.4 26.9 131.7 88.0 25.7 54.8 8.2 6.7 11.1 57.9 8.4 7.5 12.5 57.7 8.1 7.3 11.3 21.9 4.4 3.1 3.8 21.9 4.5 3.3 4.1 21.8 4.5 3.2 4.2 86.5 12.1 10.0 22.6 87.8 13.2 10.0 24.3 84.1 12.8 9.8 23.0 283.3 60.3 38.2 33.8 11.3 34.7 34.4 54.4 11.9 2.9 298.2 65.9 39.8 34.4 11.4 35.5 38.7 56.1 11.9 2.9 285.6 64.5 38.0 33.1 11.4 34.8 35.5 54.7 10.9 2.8 146.0 5.1 25.5 21.1 6.9 21.0 16.5 40.2 7.3 1.9 149.7 5.4 26.0 21.2 7.0 21.6 18.2 41.0 7.7 2.0 148.3 5.2 25.9 20.8 6.9 21.0 18.1 40.7 7.6 2.0 612.0 30.5 75.5 85.9 40.4 84.0 66.7 148.9 61.4 14.8 630.9 32.4 79.2 86.6 41.3 88.2 68.8 154.8 59.4 15.2 617.5 31.4 75.5 86.2 40.3 84.7 68.2 151.3 59.2 15.1 Nevada Las Vegas Reno New Hampshire Manchester Nashua Portsmouth-Rochester New Jersey Atlantic-Cape May Bergen-Passaic Camden Jersey City Middlesex-Somerset-Hunterdon Monmouth-Ocean Newark Trenton Vineland-Millville-Bridgeton (In thousands) Jan. 2002 Dec. 2002 Jan. 2003P 748.5 352.1 58.1 74.2 776.1 363.6 60.4 78.3 759.3 354.8 60.0 76.3 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 8,291.3 448.2 114.2 537.5 116.4 41.3 47.9 1,184.6 4,074.4 3,535.0 130.5 527.2 110.0 338.1 129.8 406.1 8,523.3 466.9 115.4 550.3 121.8 41.6 49.1 1,234.9 4,160.1 3,598.5 135.1 537.3 113.7 351.7 135.0 423.8 8,254.7 451.0 112.1 534.2 117.1 40.9 48.7 1,179.6 4,036.0 3,495.2 132.0 516.1 109.8 342.0 130.5 407.5 North Carolina Asheville Charlotte-Gastonia-Rock Hill Greensboro—Winston-Salem—High Point Raleigh-Durham-Chapel Hill 3,814.4 110.1 821.1 642.2 671.3 3,854.6 112.4 841.9 646.3 684.3 3,790.1 110.2 825.2 633.2 674.1 322.6 51.0 102.3 48.6 334.1 52.9 105.7 50.6 325.6 52.1 104.0 49.4 Ohio Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren 5,348.6 319.0 179.5 857.7 1,100.4 874.8 460.1 130.0 76.4 76.2 47.4 316.1 228.9 5,483.8 333.2 181.8 881.9 1,127.4 886.5 466.4 135.7 78.1 78.5 49.9 316.4 237.5 5,320.5 323.6 177.2 866.0 1,093.8 867.7 455.1 130.9 76.0 76.7 48.6 304.6 229.0 Oklahoma Enid Lawton Oklahoma City Tulsa 1,468.5 23.3 37.4 530.8 399.0 1,489.6 23.8 38.9 549.7 392.2 Oregon Eugene-Springfield Medford-Ashland Portland-Vancouver Salem 1,535.7 139.0 70.6 927.5 132.4 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 5,549.6 282.3 59.4 129.1 356.6 85.1 222.3 2,377.2 674.3 1,105.1 166.4 273.6 48.4 69.7 52.4 167.8 New Mexico Albuquerque LasCruces Santa Fe North Dakota Bismarck Fargo-Moorhead Grand Forks Construction Natural resources and mining Total State and area Jan. 2002 13.2 14.6 < (1) > (11) () 4.4 .3 <!> ( > < > < > < > < (1) > (1) .1 .5 ( (!> > < (1> > o O (<11) > 2.9 (O 1> <) <1) .1 .6 <!> > <1 > () ( 291.5 15.0 3.8 17.2 5.6 1.4 1.8 58.1 139.1 106.5 5.3 16.9 5.1 11.6 3.0 25.2 237.5 6.5 55.8 31.7 39.8 215.8 7.3 61.9 30.7 39.6 209.0 7.5 60.4 28.5 37.6 3.0 12.4 2.4 4.6 2.2 13.6 2.7 5.1 2.3 12.0 2.4 4.6 2.2 < > (1) .1 .6 ( > o(1) 7.7 <3> (< > 1> () 3.2 ( () 321.2 17.6 4.0 20.7 5.6 1.6 1.9 64.6 150.1 116.3 5.7 18.3 5.6 12.7 3.4 25.9 ( ) (!} ( ( > 7.8 O (O (1>) (1) (1>) 293.8 15.5 3.6 17.1 5.3 1.6 1.8 58.2 140.7 111.5 5.2 16.3 4.9 11.6 2.9 22.2 4.7 .4 > O (1) (1) (1>) Jan. 2003P 43.7 21.6 3.3 4.4 O1 () ( } Dec. 2002 45.1 22.3 3.4 4.5 12.9 5.0 .5 8.0 O < > < (1) > Jan. 2002 Jan. 2003P Dec. 2002 ( 44.7 23.2 3.1 4.7 . 12.0 12.4 11.8 O O o < > < > < > o o O O < > ( > o < > o(1) 212.2 12.3 8.1 38.7 39.9 37.8 15.9 7.1 3.2 2.4 1.9 14.7 9.5 233.2 15.4 9.1 41.4 46.4 40.5 17.4 7.9 3.5 2.7 2.4 16.3 11.3 211.1 13.4 8.4 39.4 42.6 36.6 15.7 7.3 3.1 2.5 2.2 14.3 10.3 < > < > (<1) > (11) () O o o( > < > ( > o o o o o 0) 1,455.2 23.1 37.9 537.1 380.4 27.8 .6 .1 6.4 5.2 27.9 .6 .1 6.5 4.7 27.5 .6 .1 6.6 4.6 63.1 .9 1.5 21.3 20.5 63.5 .9 1.7 21.2 19.8 62.7 .9 1.7 20.9 20.2 1,579.3 145.6 76.5 939.4 139.0 1,545.8 142.3 71.9 921.9 134.2 8.7 .9 .4 1.5 1.3 9.9 1.1 .6 1.6 1.3 9.7 1.1 .5 1.5 1.3 72.6 6.0 3.2 49.2 6.1 79.1 6.4 3.7 51.4 6.3 74.1 6.0 3.5 49.5 5.7 5,695.2 287.6 61.2 131.7 368.8 86.2 231.2 2,435.3 686.8 1,123.9 169.8 279.2 50.8 73.2 54.4 171.3 5,548.1 281.5 60.2 128.2 _ 361.1 84.8 224.4 2,373.5 671.8 1,094.0 164.9 270.5 48.9 68.8 53.2 167.2 18.2 17.2 225.0 11.8 2.6 4.3 13.9 3.9 14.4 94.9 11.8 54.5 7.6 9.9 1.3 2.5 1.9 9.6 243.9 12.7 2.8 4.8 14.5 4.3 15.1 99.6 11.9 58.1 7.9 10.9 1.6 2.8 2.0 10.3 226.0 11.5 2.7 4.4 14.0 4.0 14.4 94.8 11.4 53.4 7.5 9.5 1.5 2.6 1.9 10.0 o(1) 18.7 O O O < > O O ( ( > > O ( > ( > < > < > <1) > < O O O O O O o( > o (o ) o( ( > (1>) O < > ( > O < > ( (> ( > ( > > o (O ( > (1>) (In thousands) Manufacturing State and area Jan. 2002 Dec. 2002 Information Trade, transportation, and utilities Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P 38.3 24.9 3.0 1.3 37.4 24.3 3.0 1.3 36.7 24.2 3.0 1.3 133.9 64.8 8.7 10.3 139.5 67.5 9.3 11.1 135.3 65.2 9.0 10.6 16.8 11.2 .9 1.0 17.0 10.7 1.1 1.0 16.8 10.5 1.1 1.0 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 657.9 29.1 19.6 72.8 17.2 7.1 7.0 93.3 171.9 137.5 9.2 94.6 11.7 42.3 16.0 21.3 636.7 28.0 18.1 70.5 16.2 6.9 6.6 89.9 168.5 134.7 9.5 87.8 11.8 41.7 15.2 20.6 622.0 27.7 17.9 70.3 15.6 6.9 6.7 87.1 162.0 129.0 9.3 86.4 11.7 40.9 15.0 19.9 1,467.3 80.5 21.5 105.2 19.9 8.5 8.9 266.0 637.2 529.8 33.5 91.2 22.5 72.0 22.2 81.2 1,536.1 85.0 22.2 107.4 21.4 8.9 9.5 282.9 666.9 552.7 36.4 93.3 24.1 74.8 24.3 86.0 1,477.0 80.9 21.5 102.2 20.8 8.7 9.3 268.4 639.5 531.3 34.9 89.2 22.3 72.5 23.2 81.9 299.4 12.2 2.9 10.4 2.1 .6 1.1 33.1 198.4 178.2 2.8 14.8 3.4 7.3 3.6 16.2 292.5 12.2 2.9 10.8 2.2 .6 1.0 30.4 191.3 171.7 2.7 13.6 3.5 7.5 3.6 15.6 279.5 12.1 2.9 10.3 2.1 .6 1.0 31.2 181.8 162.2 2.7 13.9 3.6 7.3 3.6 15.6 North Carolina Asheville Charlotte-Gastonia-Rock Hill Greensboro—Winston-Salem—High Point Raleigh-Durham-Chapel Hill 657.0 15.1 113.8 130.4 77.3 626.2 14.8 113.1 127.8 71.1 623.3 14.6 111.5 126.8 70.4 715.3 21.4 175.4 129.0 112.2 737.5 21.7 173.4 128.7 111.1 712.8 21.1 169.6 124.8 107.0 79.6 1.9 24.6 11.9 23.6 79.8 1.8 24.3 11.9 24.4 78.2 1.8 24.0 11.6 24.1 23.1 2.6 8.1 3.5 23.7 2.6 8.3 3.5 23.3 2.6 8.2 3.4 71.0 10.7 24.1 10.8 74.2 11.2 25.2 11.3 72.3 10.9 24.5 11.0 8.0 1.3 3.3 .7 7.8 1.3 3.2 .7 7.8 1.3 3.3 .7 Ohio Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren 893.6 49.8 39.7 111.2 174.9 78.4 74.9 20.1 17.6 20.3 11.4 52.8 44.0 876.1 49.2 37.6 108.2 168.9 76.1 72.4 20.9 17.8 20.2 11.7 52.3 41.8 864.6 49.5 37.0 108.0 167.1 75.1 70.4 20.3 17.8 20.3 11.6 50.2 40.7 1,058.1 68.1 34.9 180.6 207.7 187.7 87.1 30.9 14.3 13.1 8.3 63.7 47.7 1,094.8 70.6 36.5 183.8 211.9 189.1 88.2 31.3 14.9 13.8 8.5 64.1 51.1 1,043.4 67.8 35.3 176.9 204.1 180.2 85.0 30.4 14.2 13.1 8.3 60.8 48.6 103.5 5.5 2.3 17.8 23.9 21.7 12.2 .8 1.1 1.5 .7 4.8 3.5 98.4 5.3 2.3 16.9 21.8 19.9 12.2 .7 1.1 1.5 .7 4.8 3.5 98.6 5.3 2.4 16.9 21.6 19.8 12.3 .7 1.1 1.5 .7 4.9 3.5 Oklahoma Enid Lawton Oklahoma City Tulsa 155.4 2.4 3.6 40.7 51.9 148.9 2.3 3.6 41.4 47.0 146.9 2.2 3.4 40.8 45.8 283.8 6.0 6.3 99.0 83.5 292.4 6.1 6.5 102.2 83.9 281.8 5.8 6.2 98.2 80.3 36.8 .3 .5 14.5 15.6 35.7 .3 .5 14.3 14.1 34.8 .3 .5 14.3 13.7 Oregon Eugene-Springfield Medford-Ashland Portland-Vancouver Salem 199.2 18.5 7.0 125.0 12.6 196.7 19.2 6.7 120.7 13.4 195.6 19.3 6.7 118.9 13.2 309.7 25.4 16.2 190.9 21.5 323.0 27.9 20.0 193.6 23.0 308.2 26.1 16.3 187.0 22.4 38.1 3.9 1.8 26.0 1.8 36.3 3.7 1.7 24.4 1.7 36.2 3.6 1.7 24.2 1.7 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 772.1 47.3 8.7 28.6 37.3 9.9 51.2 240.9 38.4 113.8 36.2 45.6 9.5 6.9 12.8 42.2 747.0 44.9 8.8 27.5 36.3 9.6 49.9 235.4 37.2 112.8 34.6 44.8 9.4 6.5 12.8 41.5 737.1 44.4 8.8 26.8 35.8 9.4 49.4 231.8 36.5 110.1 33.7 43.3 9.3 6.4 12.6 41.0 1,117.9 56.7 15.2 22.2 79.9 17.0 48.7 468.9 97.1 232.1 33.2 61.8 9.9 10.4 10.4 36.7 1,142.3 59.0 15.3 23.3 81.6 17.4 51.2 488.8 101.6 237.8 34.1 63.1 10.4 11.3 10.7 37.4 1,104.3 57.4 14.9 22.2 79.2 16.9 49.6 467.6 97.1 226.9 32.9 61.3 9.7 10.7 10.4 36.1 130.4 7.5 1.2 2.5 8.5 1.3 4.1 62.1 16.9 26.5 2.0 7.1 .5 1.3 1.1 2.0 131.1 7.5 1.3 2.4 8.9 1.3 4.2 61.4 17.2 25.7 2.1 7.2 .6 1.3 1.1 2.1 128.3 7.2 1.2 2.4 8.7 1.3 4.1 60.6 16.9 25.5 2.0 7.1 .6 1.3 1.1 2.0 New Mexico Albuquerque Las Cruces Santa Fe North Dakota Bismarck Fargo-Moorhead Grand Forks (In thousands) Professional and business services Financial activities State and area Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Education and health services Jan. 2002 Dec. 2002 Jan. 2003P 33.4 18.6 2.2 3.2 34.6 19.2 2.2 3.4 34.4 19.2 2.2 3.3 87.7 56.6 5.4 8.1 91.0 57.8 5.1 8.6 88.9 56.0 5.1 8.4 91.7 40.7 8.1 8.1 97.0 42.7 8.5 8.8 96.8 43.2 8.5 8.4 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 705.5 24.9 4.6 33.1 4.5 1.5 2.0 80.9 482.9 449.2 5.6 21.3 4.6 17.9 7.9 27.9 698.6 25.5 4.7 33.6 4.8 1.5 2.0 83.0 473.9 439.9 5.7 22.1 4.5 18.2 8.1 28.3 697.8 25.4 4.8 34.0 4.9 1.5 2.0 81.5 470.0 437.0 5.6 21.9 4.5 17.8 8.1 27.3 1,031.8 50.3 10.5 59.6 8.2 2.3 2.8 147.6 612.1 546.0 9.5 54.7 10.4 29.7 9.9 53.8 1,053.0 52.6 10.5 61.4 9.3 2.1 3.0 153.6 615.2 545.2 9.8 56.2 11.0 31.9 10.8 56.9 1,018.5 51.5 9.6 59.9 9.2 2.0 2.8 146.6 590.3 522.4 9.8 53.0 10.8 31.2 9.8 55.0 1,429.5 76.8 15.3 80.5 24.7 7.4 7.0 181.1 730.0 631.6 18.7 93.6 20.8 55.8 22.5 73.3 1,495.3 81.8 15.5 82.6 26.3 7.6 7.5 190.7 766.0 664.2 18.8 98.0 21.5 58.2 23.8 75.9 1,450.9 79.6 15.6 81.0 24.5 7.5 7.6 184.0 748.4 650.6 18.8 94.3 21.0 56.9 23.8 72.4 North Carolina Asheville Charlotte-Gastonia-Rock Hill Greensboro—Winston-Salem—High Point Raleigh-Durham-Chapel Hill 185.3 3.3 64.0 37.2 31.4 194.2 3.1 67.6 38.2 32.8 192.2 3.0 66.6 37.6 32.5 400.8 9.3 113.2 71.4 99.8 413.5 9.5 116.1 71.4 98.6 415.0 9.4 114.0 70.2 98.7 406.7 18.8 60.1 81.1 73.1 419.7 19.2 62.4 80.9 78.1 411.6 18.8 60.6 79.6 77.4 17.7 2.5 7.9 1.5 17.7 2.6 8.0 1.5 17.9 2.6 8.1 1.5 23.1 4.5 8.9 2.4 24.1 4.4 9.8 2.6 23.5 4.4 9.8 2.6 46.2 8.6 14.7 7.7 47.2 8.9 14.5 7.9 47.1 8.8 14.6 7.9 305.6 14.1 7.4 55.1 80.4 74.9 19.5 9.0 2.3 2.7 1.4 12.2 8.7 306.7 14.4 7.5 57.5 81.6 74.3 20.0 9.1 2.3 2.7 1.5 12.2 8.9 304.4 14.1 7.3 57.7 80.4 74.7 20.0 9.0 2.3 2.8 1.5 12.4 8.6 596.8 38.7 15.3 127.2 131.1 125.2 54.6 9.7 5.3 5.1 2.1 32.8 19.4 614.5 39.4 14.4 128.4 133.6 124.5 53.9 10.1 5.3 5.7 2.1 30.6 20.1 602.1 38.1 14.5 126.3 131.2 123.5 53.3 9.8 5.3 5.7 2.1 30.0 19.5 698.2 40.3 26.2 107.0 161.8 91.6 68.2 13.8 12.0 9.3 8.6 43.8 34.0 724.6 41.6 27.2 112.4 169.5 97.3 71.0 14.6 12.3 9.6 9.0 44.1 34.8 709.9 40.9 26.7 111.7 163.2 95.2 69.6 14.3 12.1 9.4 8.5 44.0 34.4 Oklahoma Enid Lawton Oklahoma City Tulsa 82.9 1.2 2.0 33.6 24.9 84.1 1.3 2.2 34.2 25.3 84.4 1.3 2.2 34.0 25.3 156.5 1.4 3.2 66.3 50.8 157.5 1.4 3.5 68.4 48.7 154.3 1.4 3.5 68.5 46.9 169.2 3.5 3.0 63.7 50.1 176.3 3.7 3.1 67.7 49.9 173.6 3.6 3.0 66.5 48.9 Oregon Eugene-Springfield Medford-Ashland Portland-Vancouver Salem 93.7 7.0 3.6 64.8 6.7 94.0 7.2 3.7 66.3 6.9 93.7 7.3 3.7 66.1 6.8 164.6 14.0 5.9 118.2 10.0 171.6 15.0 6.2 119.6 11.1 166.6 15.2 6.5 117.5 9.7 180.5 18.2 10.3 108.5 17.0 187.2 19.2 10.9 113.1 18.1 186.1 18.8 10.9 111.5 17.6 334.1 15.9 1.9 6.4 25.4 4.2 11.6 175.7 51.1 67.1 8.6 14.3 1.7 2.3 2.2 5.4 338.4 16.0 1.9 6.7 26.2 4.2 11.4 176.8 50.6 68.0 8.3 14.1 1.8 2.4 2.3 5.7 337.1 16.3 1.9 6.6 26.0 4.2 11.3 175.8 49.4 67.7 8.2 14.0 1.9 2.4 2.2 5.6 587.9 26.9 4.5 10.0 33.3 6.5 17.2 321.2 86.3 133.9 19.1 20.4 2.4 4.7 2.7 13.2 603.6 27.3 4.7 10.8 34.7 6.3 18.9 328.4 87.2 132.7 19.7 21.1 2.6 4.8 3.0 13.3 585.6 26.1 4.6 10.4 34.1 6.3 18.5 319.8 86.3 129.1 19.1 20.2 2.6 4.6 2.9 12.8 947.3 46.9 9.2 22.1 47.3 15.5 27.7 435.1 174.9 203.2 20.1 47.3 10.5 6.5 7.9 20.0 987.9 49.8 9.5 22.3 50.0 16.5 29.5 446.2 180.4 204.2 21.1 49.5 11.4 6.8 8.2 21.0 966.5 48.7 9.5 22.0 48.8 15.8 28.5 438.1 176.9 203.1 21.1 47.5 10.6 6.8 8.2 20.5 New Mexico Albuquerque LasCruces 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 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 (In thousands) Jan. 2002 Dec. 2002 Government Other services Leisure and hospitality State and area Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P 75.7 32.5 5.7 8.9 79.0 34.0 6.3 9.5 76.5 33.1 6.2 9.2 26.6 10.9 1.4 2.8 27.8 11.7 1.4 3.0 27.7 11.6 1.4 2.9 185.1 68.7 19.6 25.8 194.5 73.4 20.1 27.1 189.6 70.2 20.2 26.8 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 584.3 29.4 8.0 43.9 8.0 3.4 4.9 79.4 274.2 238.2 10.6 36.7 6.9 25.1 11.2 27.2 634.5 31.3 8.2 46.5 8.8 3.4 5.1 87.7 299.7 260.7 10.8 40.1 7.0 27.1 11.8 30.2 600.3 29.4 8.2 44.8 7.9 3.3 5.5 80.2 280.9 246.1 11.0 37.7 6.3 26.6 11.4 27.0 340.3 18.0 4.4 22.8 3.7 1.5 1.7 48.7 169.2 147.2 5.6 18.8 4.4 13.8 5.5 16.3 349.9 18.8 4.4 23.4 4.0 1.6 1.7 50.9 173.0 150.6 5.6 19.5 4.3 14.1 5.5 16.7 342.9 18.4 4.4 22.8 3.9 1.6 1.7 50.2 169.5 147.1 5.3 19.3 4.5 14.0 5.5 16.6 1,477.1 111.2 23.8 92.1 22.8 7.4 10.7 196.3 657.8 565.7 29.8 84.7 20.4 62.6 28.1 66.7 1,500.5 113.6 24.9 93.4 23.2 7.4 10.8 201.2 655.5 562.4 30.1 87.8 20.4 65.5 28.5 67.7 1,469.6 110.6 23.4 91.7 22.6 7.4 10.3 192.3 654.5 562.9 29.3 82.9 20.0 63.2 27.1 66.6 North Carolina Asheville Charlotte-Gastonia-Rock Hill Greensboro—Winston-Salem—High Point Raleigh-Durham-Chapel Hill 305.6 11.6 64.1 48.5 52.4 311.0 12.1 66.2 51.6 58.1 304.8 11.3 64.7 50.4 56.7 176.6 5.9 47.4 28.9 34.0 177.6 6.1 48.2 28.3 32.2 173.7 6.1 48.1 28.2 32.6 642.0 16.3 102.7 72.1 127.7 671.5 16.8 108.7 76.8 138.3 661.8 16.6 105.7 75.5 137.1 28.0 4.6 10.3 5.0 29.3 4.8 10.8 5.3 28.5 4.8 10.6 5.3 15.1 2.8 4.2 1.9 15.3 2.9 4.3 1.8 14.8 2.8 4.2 1.8 75.1 11.0 16.2 12.9 78.0 11.5 16.5 13.7 75.4 11.5 16.1 13.0 Ohio Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren 448.2 28.6 15.1 79.3 87.1 77.1 37.9 11.1 5.7 6.7 4.9 28.0 19.7 477.6 31.6 15.6 88.9 94.1 80.6 38.7 12.1 5.7 6.8 5.7 25.9 22.4 454.4 31.2 15.0 86.5 89.2 79.7 37.8 11.5 5.4 6.4 5.5 24.2 21.7 225.6 13.9 9.5 35.4 45.9 34.4 18.3 4.9 4.2 3.7 1.8 14.3 10.4 231.6 14.6 9.9 36.0 46.5 36.2 19.5 5.2 4.4 3.9 1.9 15.0 11.0 226.8 14.6 9.6 35.5 45.7 36.1 19.2 5.1 4.2 3.8 1.9 14.7 10.7 794.8 47.7 21.0 105.4 147.7 146.0 71.5 22.6 10.7 11.4 6.3 49.0 32.0 813.9 51.1 21.7 108.4 153.1 148.0 73.1 23.8 10.8 11.6 6.4 51.1 32.6 793.4 48.7 21.0 107.1 148.7 146.8 71.8 22.5 10.5 11.2 6.3 49.1 31.0 Oklahoma Enid Lawton Oklahoma City Tulsa 120.2 1.8 3.5 48.7 31.7 124.0 1.9 3.7 53.1 32.3 119.3 1.8 3.5 52.1 30.0 74.5 1.4 2.1 27.4 19.6 75.8 1.4 2.2 28.1 20.2 74.3 1.4 2.2 27.7 19.7 298.3 3.8 11.6 109.2 45.2 303.5 3.9 11.8 112.6 46.3 295.6 3.8 11.6 107.5 45.0 Oregon Eugene-Springfield Medford-Ashland Portland-Vancouver Salem 140.8 12.5 8.1 80.9 11.1 146.2 13.3 8.6 82.6 12.5 144.1 12.9 8.1 81.0 11.9 54.8 4.9 2.6 33.7 5.0 57.9 4.8 2.7 34.8 5.4 57.7 4.9 2.7 34.1 5.3 273.0 27.7 11.5 128.8 39.3 277.4 27.8 11.7 131.3 39.3 273.8 27.1 11.3 130.6 38.6 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 426.7 22.8 4.8 10.8 25.3 8.1 17.5 163.4 51.0 92.9 11.8 20.7 4.6 6.1 3.9 13.7 455.2 22.9 5.2 10.7 27.6 7.8 19.3 175.0 53.2 99.0 12.8 20.7 4.8 6.4 4.0 14.0 437.3 23.7 5.0 10.4 25.9 8.2 17.9 168.6 50.9 94.8 12.1 20.1 4.6 6.2 3.9 13.8 254.0 13.6 2.6 6.3 17.3 4.1 10.3 104.0 28.8 55.8 7.6 10.6 2.1 2.2 2.3 7.5 263.7 13.3 2.7 6.4 17.1 4.3 10.6 108.6 29.9 56.7 8.0 10.7 2.3 2.4 2.4 8.1 260.1 13.1 2.7 6.3 17.0 4.2 10.6 107.2 29.3 56.0 7.9 10.7 2.2 2.3 2.4 7.8 735.5 32.9 8.7 15.9 68.4 14.6 19.6 311.0 118.0 125.3 20.2 35.9 5.9 26.8 7.2 17.5 763.9 34.2 9.0 16.8 71.9 14.5 21.1 315.1 117.6 128.9 21.2 37.1 5.9 28.5 7.9 17.9 748.6 33.1 8.9 16.7 71.6 14.5 20.1 309.2 117.1 127.4 20.4 36.8 5.9 25.5 7.6 17.6 New Mexico Albuquerque LasCruces Santa Fe North Dakota Bismarck Fargo-Moorhead Grand Forks (In thousands) Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 486.1 538.2 468.9 520.6 1,762.2 250.7 302.6 466.7 1,823.0 255.8 308.5 472.6 1,773.4 250.3 301.1 460.9 365.7 48.7 113.1 380.7 50.6 118.1 369.8 49.3 115.1 Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville 2,612.2 229.4 192.1 333.8 576.5 657.3 2,686.4 232.2 198.2 348.7 583.1 681.0 2,626.3 228.8 194.1 337.1 575.8 663.5 4.4 .2 .2 .5 .1 .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 9,312.0 54.2 96.2 652.4 156.8 78.9 111.8 74.8 158.4 1,925.3 251.6 776.5 86.0 2,089.1 102.7 71.3 91.3 121.3 165.3 103.3 43.9 711.3 43.1 52.7 83.9 37.3 98.6 59.9 9,485.2 56.1 99.0 665.3 158.2 79.3 117.5 81.5 162.3 1,933.1 261.4 791.9 86.8 2,117.0 106.2 74.7 93.3 124.1 170.9 105.9 44.2 731.0 44.7 54.0 86.4 37.7 102.2 59.6 9,324.7 55.2 97.4 655.8 155.4 78.3 116.7 76.5 160.0 1,902.7 258.6 781.8 85.6 2,082.4 105.0 73.6 92.0 121.5 170.2 105.2 43.5 720.4 44.0 53.2 85.3 37.3 101.2 59.3 147.8 .8 .7 1.7 .6 1.2 1 ( ) .9 2.3 9.0 (1) 4.2 (1) 61.6 (1) 1.3 3.7 (1) 1.5 10.9 1.0 2.4 (1) 1 ( ) .9 1.9 1 ( ) 1.0 Utah Provo-Orem Salt Lake City-Ogden 1,062.8 149.9 707.4 1,080.9 154.9 713.9 1,057.8 151.4 702.1 (1) (1) 299.4 34.0 106.7 306.2 35.0 107.9 300.6 34.6 105.8 Virginia Bristol Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News Northern Virginia Richmond-Petersburg Roanoke 3,433.6 39.7 84.6 44.5 99.5 702.5 1,164.9 561.8 144.3 3,514.0 41.0 88.6 46.9 101.2 728.5 1,188.2 573.9 144.4 3,443.0 40.3 87.2 46.0 99.9 711.3 1,171.9 560.5 142.6 Washington Seattle-Bellevue-Everett Spokane Tacoma 2,606.2 1,344.9 191.6 238.0 2,675.4 1,358.6 196.1 246.7 2,619.7 1,330.2 190.9 241.4 South Carolina Charleston-North Charleston Columbia Greenville-Spartanburg-Anderson South Dakota Rapid City Sioux Falls Vermont Barre-Montpelier Burlington 17.5 19.7 5.3 107.5 20.3 17.2 28.9 110.4 20.6 16.8 24.6 109.3 19.7 16.5 24.2 .8 15.5 3.3 5.5 18.7 3.8 6.2 16.4 3.5 5.6 4.4 .3 .2 .5 .1 .4 4.2 .3 .2 .6 .1 .4 110.1 8.5 10.2 14.8 23.6 29.8 113.1 8.5 10.4 16.3 23.8 31.4 105.8 8.3 9.9 14.9 22.9 29.4 144.5 .8 .7 1.8 .8 1.2 1 ( ) .8 2.7 9.1 (1) 4.2 (1) 59.4 (1) 1.3 3.7 (1) 1.4 10.6 .7 2.4 1 ( ) (1) .8 2.1 1 ( ) 1.0 141.2 .8 .7 1.8 .8 1.2 1 ( ) .8 2.7 9.0 (1) 4.2 (1) 56.0 (1) 1.3 3.7 (1) 1.4 10.8 .6 2.4 1 ( ) (1) .8 2.0 (1) 1.0 556.6 2.3 5.0 35.9 15.2 12.4 4.1 3.5 13.5 102.4 11.7 43.6 4.7 159.8 4.6 2.5 4.6 5.2 8.7 6.5 2.1 40.5 2.5 2.8 3.5 2.2 5.6 2.1 566.2 2.8 4.9 36.6 14.5 11.0 4.3 3.7 14.4 101.0 12.1 44.8 5.1 161.3 4.9 2.6 4.7 5.0 9.3 6.4 2.0 39.9 3.0 2.8 3.6 2.2 6.0 2.1 559.9 2.8 4.9 35.8 14.2 11.2 4.3 3.6 14.2 98.5 12.1 43.4 5.1 159.7 4.9 2.6 4.7 4.9 9.3 6.4 2.0 39.5 3.0 2.8 3.6 2.2 6.0 2.1 7.0 63.9 9.6 42.6 67.8 10.4 43.9 61.4 9.9 40.9 5.2 <!> ( ) <!> ( ) (1) (1) 1 1 .9 ( !> !> (1) (1) 6.7 Jan. 2003P 19.4 21.9 .9 ( Dec. 2002 17.4 18.9 .2 .3 5.1 (1) (1) (1) Jan. 2002 Jan. 2003P .2 .2 .2 .3 466.0 518.6 Rhode Island Providence-Fall River-Warwick Construction Natural resources and mining Total State and area (1) <11) 6.9 (1) (1) ( ) .9 1.0 .9 (1> (1) (1) (1) (1) (1) 13.4 1.3 4.9 15.0 1.6 4.6 13.4 1.3 4.5 11.0 (1) (1) (1) (1) (1) (1) (1) (1) 10.5 (1) (1) (1) 10.4 (1) 1 ( 1) ( 1) 1 (1) (1) (1) (1) ( 1) 1 (1) (1) (1) (1) 205.0 1.4 5.4 2.4 6.2 43.3 76.5 35.9 8.4 204.5 1.5 5.5 2.5 6.9 43.1 77.4 36.7 8.3 197.7 1.4 5.3 2.4 7.0 41.3 74.6 35.5 8.1 143.2 74.3 9.1 15.1 153.1 76.8 10.6 16.1 145.7 73.1 9.4 15.3 9.0 1.7 1 9.0 1.5 1 ( ) ( ) .5 8.9 1.5 1 ( ) .6 .6 (In thousands) Manufacturing State and area Jan. 2002 Dec. 2002 Information Trade, transportation, and utilities Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P 63.5 79.5 61.7 77.6 60.5 76.3 79.0 94.3 84.8 100.1 80.8 95.6 11.3 11.3 11.4 11.4 11.3 11.3 294.3 21.0 25.0 102.9 288.9 19.2 24.4 97.4 282.5 18.6 24.0 97.0 340.5 53.9 56.0 101.8 356.0 55.1 57.7 107.1 343.5 52.9 56.4 102.8 27.7 3.9 6.4 8.7 27.6 3.6 6.4 8.8 27.5 3.5 6.4 9.0 38.6 4.0 11.9 38.0 3.7 11.8 38.4 3.8 11.8 75.0 10.5 25.1 79.2 11.3 26.8 76.0 10.7 25.8 6.8 1.0 2.6 6.7 1.0 2.6 6.7 1.0 2.6 Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville 430.1 38.5 41.2 42.2 52.5 80.5 419.1 36.2 40.9 42.2 50.3 78.1 415.4 36.3 40.4 41.4 50.2 77.6 569.7 54.3 35.9 71.6 165.8 132.8 588.4 55.9 37.4 74.2 167.9 135.3 568.4 54.4 36.8 72.1 164.4 129.8 54.1 2.6 3.6 6.1 9.8 21.8 53.4 2.7 3.7 5.9 9.4 22.4 52.1 2.6 3.7 5.9 9.3 21.9 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 969.1 3.0 8.6 67.8 21.1 13.6 10.3 5.0 12.0 217.6 31.2 99.0 7.3 202.7 8.1 1.3 15.1 6.0 10.8 6.1 4.0 48.5 7.5 5.3 10.6 3.0 14.2 8.0 932.7 2.9 8.4 61.3 20.0 13.0 10.4 5.2 11.5 209.1 30.4 98.3 7.0 193.9 8.1 1.1 14.6 5.7 9.3 5.9 3.9 45.8 7.4 5.4 11.0 2.8 13.9 7.5 927.2 2.8 8.4 61.0 20.1 12.8 10.3 5.1 11.4 208.0 29.5 97.6 7.0 194.1 8.0 1.1 14.5 5.7 9.3 5.9 3.9 45.8 7.3 5.3 11.0 2.8 13.8 7.4 1,958.5 11.2 22.0 113.8 30.1 13.7 22.4 10.4 28.0 423.9 53.0 196.2 13.6 454.7 19.8 24.0 19.2 24.4 34.5 21.8 7.5 130.8 8.0 12.4 18.9 8.2 17.9 10.8 2,008.6 11.6 23.2 117.1 31.1 14.4 23.6 10.8 29.5 429.7 55.8 198.5 14.2 458.8 20.7 25.2 19.9 25.3 36.1 22.4 7.8 135.2 8.3 12.7 18.9 8.2 18.5 10.9 1,940.2 11.1 22.6 112.7 29.9 13.9 23.3 10.5 28.7 415.6 54.1 193.0 13.8 442.8 20.4 24.4 19.1 24.5 34.9 21.9 7.6 130.7 8.0 12.3 18.3 8.1 18.1 10.6 258.3 1.1 2.4 23.0 2.8 .5 1.5 1.3 2.9 94.8 5.0 19.6 .8 41.2 1.3 .7 1.7 5.5 1.8 2.4 2.4 25.3 .5 .5 1.8 .7 1.6 1.6 241.9 1.1 2.4 21.9 2.7 .5 1.4 1.3 2.8 85.8 5.0 18.6 .8 38.4 1.3 .7 1.7 5.8 1.6 2.7 2.1 23.3 .5 .5 1.8 .7 1.8 1.6 238.3 1.1 2.4 21.4 2.7 .5 1.4 1.2 2.8 85.4 5.1 18.6 .8 37.3 1.2 .7 1.7 5.7 1.6 2.6 2.1 23.2 .5 .5 1.8 .7 1.7 1.6 Utah Provo-Orem Salt Lake City-Ogden 114.8 17.0 73.5 113.0 16.6 71.9 110.9 16.4 71.1 214.2 24.7 150.1 221.5 26.0 153.6 213.2 24.5 149.4 31.8 6.6 22.3 31.0 6.7 21.2 30.7 6.7 21.3 42.2 3.2 17.9 39.2 3.1 15.9 38.3 3.1 15.7 58.3 6.0 20.8 60.2 6.2 21.5 59.0 6.1 20.7 6.7 .7 3.0 6.7 .7 3.1 6.6 .7 3.1 Virginia Bristol Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News Northern Virginia Richmond-Petersburg Roanoke 323.1 8.5 5.5 12.5 19.8 60.4 31.5 48.3 16.5 319.5 8.2 5.9 13.0 18.9 61.1 30.5 47.9 15.7 315.6 8.1 5.8 12.8 18.8 61.0 30.3 46.3 15.7 632.9 8.7 12.7 7.2 19.2 133.7 198.5 108.4 34.2 661.8 9.2 13.2 7.8 19.2 140.3 207.0 111.8 33.9 631.9 8.8 11.9 7.5 18.6 133.5 198.6 106.1 33.2 109.9 .5 2.5 .4 1.0 16.1 66.7 12.3 3.0 102.1 .5 2.4 .4 .9 16.4 59.1 11.4 3.1 100.7 .5 2.4 .4 .9 16.1 58.0 11.3 3.1 Washington Seattle-Bellevue-Everett Spokane Tacoma 291.5 172.4 17.8 20.0 274.6 159.1 16.8 19.2 269.1 155.9 16.5 18.7 505.1 265.1 40.2 46.3 524.2 270.5 41.8 48.9 503.4 260.2 40.4 46.7 94.2 73.7 3.0 3.2 93.5 73.3 2.8 3.0 92.6 73.0 2.7 2.9 Rhode Island Providence-Fall River-Warwick South Carolina Charleston-North Charleston Columbia Greenville-Spartanburg-Anderson South Dakota Rapid City Sioux Falls Vermont Barre-Montpelier Burlington (In thousands) Professional and business services Financial activities State and area Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Education and health services Jan. 2002 Dec. 2002 Jan. 2003P Rhode Island Providence-Fall River-Warwick 32.3 33.7 32.6 34.3 32.2 34.0 47.2 51.2 48.6 53.1 45.7 49.9 85.6 94.0 90.9 98.4 88.1 95.8 South Carolina Charleston-North Charleston Columbia Greenville-Spartanburg-Anderson 86.4 10.7 24.8 18.9 90.2 10.2 24.9 19.0 89.6 10.2 24.7 19.1 174.4 32.2 35.3 53.5 181.8 34.3 36.1 56.2 173.2 33.9 34.2 52.1 168.9 24.2 29.8 36.1 179.9 26.0 31.2 40.4 172.9 26.3 30.2 39.6 South Dakota Rapid City Sioux Falls 28.0 3.3 15.0 27.5 3.1 14.9 27.3 3.0 14.8 24.0 3.7 8.1 24.1 3.9 8.8 23.6 3.9 8.5 53.3 7.8 19.6 55.2 8.0 20.9 54.7 8.1 20.4 Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville 137.2 17.9 8.1 16.0 31.1 42.1 138.0 18.1 8.1 16.3 31.7 42.7 137.5 18.1 8.1 16.1 31.6 42.1 292.3 23.5 15.2 38.8 75.6 84.0 313.0 24.6 15.4 40.6 73.8 94.1 305.6 24.1 15.6 39.5 73.4 90.6 288.7 21.6 24.6 34.7 64.2 85.4 304.6 21.9 25.7 36.2 67.2 89.7 302.5 21.8 25.5 35.5 67.2 89.1 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 575.2 2.7 5.8 36.7 5.7 2.7 4.1 3.0 7.1 167.5 11.8 45.8 5.9 123.1 5.0 3.2 4.0 6.8 6.5 5.0 1.8 57.1 3.0 2.2 4.4 1.8 6.0 2.3 582.9 2.8 5.7 37.8 6.1 2.8 4.3 3.1 7.2 168.1 12.1 46.8 5.8 122.8 4.9 3.2 4.3 6.6 6.6 5.1 1.9 58.7 2.9 2.3 4.6 1.8 6.3 2.3 579.5 2.8 5.6 37.6 6.0 2.7 4.3 3.1 7.0 167.2 12.1 46.7 5.8 122.5 4.9 3.2 4.2 6.5 6.7 5.1 1.9 58.6 2.8 2.3 4.5 1.8 6.3 2.3 1,037.1 3.9 5.9 86.3 13.0 5.1 7.1 4.5 15.3 272.9 24.9 80.2 4.1 298.6 7.9 4.1 6.3 9.8 10.6 8.1 3.3 82.1 2.2 3.0 6.0 2.7 8.2 3.7 1,050.6 3.8 6.2 87.3 12.9 4.9 7.4 4.6 15.3 274.0 26.8 80.2 4.2 302.5 7.7 4.3 6.5 10.0 10.4 8.9 3.2 87.0 2.3 3.2 6.5 2.6 8.5 3.2 1,034.2 3.8 6.0 86.5 12.6 4.9 7.3 4.7 15.3 269.5 26.3 78.3 4.2 300.1 7.8 4.3 6.5 9.9 10.3 8.8 3.0 85.6 2.3 3.2 6.4 2.7 8.4 3.2 1,054.8 11.6 13.7 62.7 22.1 6.0 22.3 7.9 23.7 177.3 26.3 80.6 8.5 222.3 14.5 9.3 13.4 17.7 28.2 9.9 7.1 91.7 8.4 8.9 15.5 5.2 15.8 8.5 1,109.5 12.2 14.2 67.2 23.1 6.5 24.0 8.2 24.5 183.2 28.3 83.7 8.6 233.4 15.3 10.0 14.2 18.1 31.2 10.4 7.4 96.3 8.8 9.2 15.9 5.5 16.8 8.7 1,101.2 12.1 14.2 66.1 23.0 6.5 24.1 8.2 24.1 182.6 28.4 83.5 8.6 231.6 15.0 10.0 14.2 18.2 31.6 10.4 7.3 95.3 8.8 9.1 16.1 5.5 16.7 8.7 Utah Provo-Orem Salt Lake City-Ogden 63.4 5.2 51.2 63.6 5.5 51.4 63.6 5.5 51.5 129.5 17.4 94.8 131.1 17.6 96.2 128.8 17.4 94.8 111.7 32.0 63.2 118.2 33.1 66.5 116.6 33.0 65.8 Vermont Barre-Montpelier Burlington 13.0 2.7 5.2 13.3 2.9 5.2 13.2 2.8 5.2 19.2 1.8 9.0 20.8 2.0 10.0 19.9 1.9 9.8 49.0 5.1 16.9 52.0 5.4 17.4 51.3 5.5 17.3 Virginia Bristol Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News Northern Virginia Richmond-Petersburg Roanoke 179.0 1.1 3.5 1.4 4.1 34.9 63.6 45.8 8.9 182.8 1.2 3.6 1.4 3.9 36.1 66.1 46.3 9.0 182.7 1.2 3.6 1.4 3.9 34.9 66.9 45.8 8.7 537.1 3.2 8.7 2.1 8.3 97.6 281.0 85.5 17.8 543.9 3.4 8.7 2.4 9.2 100.9 282.1 89.0 18.8 535.2 3.4 8.9 2.4 9.1 100.7 280.9 87.5 18.5 355.9 4.4 9.5 6.8 16.0 74.2 103.0 54.6 19.9 372.1 4.5 9.9 7.1 16.5 78.0 108.2 57.4 20.1 370.9 4.6 9.9 7.1 16.2 76.9 108.3 57.5 20.3 Washington Seattle-Bellevue-Everett Spokane Tacoma 143.0 87.3 11.6 12.7 148.6 90.3 12.2 13.0 146.4 89.0 12.1 12.9 279.8 176.4 17.9 18.2 291.3 180.7 19.0 20.2 284.3 176.6 18.6 20.0 301.7 134.1 30.9 36.1 312.1 136.6 32.1 37.2 310.4 136.1 31.6 36.7 (In thousands) Leisure and hospitality State and area Rhode Island Providence-Fall River-Warwick Jan. 2002 Dec. 2002 Other services Jan. 2003P Jan. 2002 Dec. 2002 Government Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P 41.7 43.8 46.4 47.6 43.4 44.9 21.1 22.4 22.6 23.1 22.3 23.0 66.7 69.2 67.5 70.4 66.9 69.9 169.4 28.4 25.6 41.4 178.4 27.5 27.8 42.9 171.2 26.9 26.0 42.0 62.6 7.0 8.9 11.6 64.6 7.4 9.2 12.0 65.2 7.4 9.2 11.9 325.4 49.1 73.6 62.9 340.0 51.9 74.0 64.2 333.2 50.9 73.5 63.2 34.7 5.6 10.3 38.2 6.1 10.9 35.9 5.8 10.4 15.6 2.5 4.8 15.8 2.5 5.0 15.4 2.5 5.0 73.3 7.0 10.2 76.4 7.2 10.2 74.6 7.0 10.2 Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville 220.6 17.4 16.2 38.0 46.9 64.7 234.5 18.1 17.4 42.9 50.0 67.9 223.9 17.5 16.4 38.8 49.0 66.1 98.6 10.3 7.0 14.0 22.7 28.1 101.0 10.4 7.5 14.0 22.9 28.6 99.9 10.4 7.6 13.8 22.4 28.6 406.4 34.6 29.9 57.1 84.2 87.7 416.9 35.5 31.5 59.5 86.0 90.4 411.0 35.0 29.9 58.5 85.3 87.9 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 801.5 5.5 10.0 58.8 12.4 5.3 10.5 7.3 16.0 163.5 21.6 73.0 11.8 163.8 8.8 6.5 7.6 14.0 15.3 9.9 4.1 73.5 3.6 4.5 7.0 3.2 8.2 5.4 832.1 5.9 10.4 62.5 12.6 5.5 11.7 7.8 16.8 164.9 23.8 75.1 11.6 174.6 9.4 6.7 7.7 14.2 15.7 10.3 4.4 77.7 3.8 4.6 7.4 3.2 8.8 5.7 812.4 5.7 10.3 61.3 12.4 5.4 11.5 7.2 17.0 159.8 23.5 74.8 10.7 169.6 9.4 6.6 7.7 14.1 15.7 10.2 4.3 76.6 3.7 4.5 7.1 3.1 8.8 5.8 347.7 2.6 4.8 23.0 6.0 3.5 3.3 2.4 6.6 70.0 7.7 31.3 3.6 83.9 3.9 1.7 3.1 5.0 4.3 4.6 1.7 26.7 1.4 2.1 3.4 1.6 4.4 3.1 355.8 2.8 4.7 24.8 6.1 3.5 3.5 2.5 6.4 69.9 7.9 32.3 3.6 85.3 4.1 1.7 3.2 5.0 4.4 4.7 1.8 27.7 1.4 2.0 3.5 1.6 4.5 3.2 353.3 2.8 4.4 24.6 6.0 3.5 3.4 2.5 6.4 70.4 7.9 32.5 3.6 85.0 4.0 1.7 3.1 5.0 4.4 4.7 1.8 27.5 1.4 2.0 3.5 1.6 4.5 3.2 1,605.4 9.5 17.3 142.7 27.8 14.9 26.2 28.6 31.0 226.4 58.4 103.0 25.7 277.4 28.8 16.7 12.6 26.9 43.1 18.1 8.9 132.7 6.0 11.0 11.9 6.8 16.7 13.4 1,660.4 9.4 18.2 147.0 28.3 16.0 26.9 33.5 31.2 238.3 59.2 109.4 25.9 286.6 29.8 17.9 12.8 28.4 44.9 18.5 9.0 137.0 6.3 11.3 12.4 7.0 17.1 13.4 1,637.3 9.4 17.9 147.0 27.7 15.7 26.8 29.6 30.4 236.7 59.6 109.2 26.0 283.7 29.4 17.7 12.6 27.0 45.0 18.4 9.0 135.2 6.2 11.2 12.2 6.8 16.9 13.4 Utah Provo-Orem Salt Lake City-Ogden 100.5 11.4 62.1 97.8 11.9 59.1 96.8 11.3 57.7 32.0 3.8 22.8 32.0 4.0 23.3 31.7 3.9 22.9 194.3 22.2 124.8 198.0 23.1 126.8 197.1 22.8 126.7 35.6 3.4 8.3 34.3 3.1 8.6 35.7 3.3 8.2 9.8 1.4 3.6 10.2 1.4 3.6 10.1 1.4 3.5 51.3 8.4 17.1 53.5 8.6 18.0 52.2 8.5 17.8 Virginia Bristol Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News Northern Virginia Richmond-Petersburg Roanoke 275.8 3.8 7.8 3.2 6.5 67.5 93.5 39.7 11.0 295.5 4.3 8.5 3.3 7.0 73.6 100.4 40.8 11.2 284.8 4.1 8.6 3.1 7.0 69.7 97.5 39.9 10.9 173.6 2.0 4.0 2.1 4.8 28.0 58.8 25.2 6.4 177.5 2.0 4.2 2.1 5.0 29.1 57.3 24.8 6.5 174.9 2.0 4.2 2.0 4.9 28.8 57.3 24.5 6.4 630.3 6.1 25.0 6.4 13.6 146.8 191.8 106.1 18.2 643.8 6.2 26.7 6.9 13.7 149.9 200.1 107.8 17.8 638.2 6.2 26.6 6.9 13.5 148.4 199.5 106.1 17.7 Washington Seattle-Bellevue-Everett Spokane Tacoma 231.4 114.3 17.8 22.5 240.5 116.4 17.9 24.1 235.3 113.8 17.4 23.6 95.0 46.3 9.3 11.2 98.1 49.5 8.7 11.3 97.2 48.6 8.4 11.1 512.3 199.3 34.0 52.2 530.4 203.9 34.2 53.1 526.4 202.4 33.8 52.9 South Carolina Charleston-North Charleston Columbia Greenville-Spartanburg-Anderson South Dakota Rapid City Sioux Falls Vermont Barre-Montpelier Burlington (In thousands) West Virginia Charleston Huntington-Ashland Parkersburg-Marietta Wheeling Jan. 2002 Dec. 2002 Jan. 2003P 717.2 132.3 118.5 68.4 65.4 736.0 135.4 124.8 71.3 66.2 718.6 132.3 120.4 69.5 63.8 2,719.4 201.8 72.9 142.4 66.2 52.8 72.1 288.6 829.0 78.7 60.8 68.3 2,786.7 208.6 77.7 148.4 67.6 54.4 73.2 301.8 841.8 80.0 62.9 70.6 2,716.9 203.9 74.1 144.5 66.1 52.1 71.2 290.2 820.2 78.9 61.9 68.8 Wyoming Casper 237.9 32.4 245.3 33.8 239.4 32.8 Puerto Rico Caguas Mayaguez Ponce San Juan-Bayamon 973.9 64.9 62.1 69.0 634.4 1,006.4 67.1 63.8 70.9 657.3 981.3 65.9 61.8 68.5 640.6 43.3 42.4 42.2 Wisconsin Appleton-Oshkosh-Neenah Eau Claire Green Bay Janesville-Beloit Kenosha LaCrosse Madison Milwaukee-Waukesha Racine Sheboygan Wausau Virgin Islands See footnotes at end of table. Construction Natural resources and mining Total State and area Jan. 2002 24.4 < > < (1) > 22.1 (< > 1> O (< > (1>) 3.9 3.4 () ( < > ( 11 ) ( > (1> .4 (1) (1) !> O O (1) (1) < > (1) 1 <) .7 (1>) 30.8 8.2 7.2 4.3 3.2 (<1) > .4 (1) < (1) > 108.7 11.4 2.5 7.3 2.6 2.1 2.5 13.0 29.7 3.3 2.5 2.4 118.2 13.4 2.8 7.8 2.8 2.2 2.7 14.4 33.1 3.8 2.5 2.7 107.5 12.3 2.5 7.1 2.6 2.0 2.5 12.5 30.9 3.4 2.3 2.5 17.3 1.9 17.6 1.8 19.7 2.1 18.0 2.0 1.2 67.5 3.6 4.9 6.3 45.3 66.4 3.4 4.3 6.1 46.3 64.6 3.4 4.0 5.9 44.8 3.6 2.0 2.0 < > < > (1) (1> 1 () ( .6 Jan. 2003P 33.1 9.0 7.5 4.8 3.4 1.2 <!> ( Dec. 2002 29.7 8.6 5.5 4.2 3.8 17.7 2.0 1.2 (1>) .4 (1) (1) 18.4 2.1 <: ( > Jan. 2002 22.7 3.2 o (1) Jan. 2003P Dec. 2002 (1>) 1 () .6 (In thousands) Manufacturing State and area 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 See footnotes at end of table. Jan. 2002 Dec. 2002 Trade, transportation, and utilities Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Information Jan. 2002 Jan. 2003P Dec. 2002 69.7 8.7 11.7 11.1 5.1 67.7 8.2 11.6 10.8 5.2 66.5 8.3 11.4 10.5 5.1 136.1 26.9 26.4 13.6 12.6 139.3 26.8 26.9 14.9 12.9 135.4 26.4 25.9 14.2 12.3 13.4 3.6 1.6 1.0 1.2 13.1 3.5 1.5 .9 1.1 12.9 3.3 1.5 .9 1.1 531.6 53.0 11.2 26.9 15.9 11.1 9.6 26.9 146.4 20.7 23.7 17.7 521.9 51.9 11.3 27.2 15.4 10.7 9.6 28.5 140.6 20.0 25.0 18.0 520.6 51.4 11.2 27.2 15.2 10.7 9.7 28.9 140.2 20.2 24.9 18.0 533.0 37.3 15.3 31.4 14.9 10.3 15.2 49.2 155.6 14.3 8.7 17.2 544.1 38.2 15.9 32.5 15.5 10.7 15.5 51.4 156.3 14.7 8.8 18.0 526.3 36.3 15.4 30.7 15.1 10.3 15.1 47.6 152.5 14.3 8.5 16.8 51.8 3.7 1.3 2.5 1.2 .4 1.5 6.4 19.7 .8 .6 1.0 50.6 3.8 1.3 2.4 1.1 .4 1.5 6.5 19.4 .8 .6 1.1 50.5 3.8 1.3 2.4 1.2 .4 1.5 6.5 19.4 .8 .6 1.1 9.5 1.6 9.5 1.5 9.3 1.5 47.0 7.9 48.2 8.0 47.3 7.8 4.2 .6 4.2 .6 4.3 .6 118.4 14.9 12.1 6.6 57.1 118.5 15.0 10.8 6.7 58.3 117.5 14.9 11.0 6.8 57.1 176.5 14.2 9.0 11.4 119.3 184.0 14.8 9.5 12.3 125.4 175.8 14.3 8.9 11.4 120.3 21.2 .6 .6 .6 18.5 21.8 .6 .7 .6 19.1 21.3 .6 .6 .6 18.8 2.1 2.1 2.0 8.3 8.7 8.6 .9 .9 .9 (In thousands) Professional and business services Financial activities State and area 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 See footnotes at end of table. Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Education and health services Jan. 2002 Dec. 2002 Jan. 2003P 30.2 7.9 5.7 3.0 2.9 31.3 7.8 5.7 3.3 2.9 31.1 7.8 5.6 3.5 2.9 54.5 13.8 9.8 4.5 4.6 58.6 14.2 10.7 4.9 4.6 57.4 14.0 10.5 4.4 4.6 105.4 18.2 19.1 10.7 13.3 107.9 19.0 20.4 10.6 13.6 108.1 18.0 20.2 11.3 13.3 151.4 10.6 3.6 10.2 1.9 1.6 3.6 24.1 57.1 2.5 2.2 4.3 153.4 10.9 3.7 10.6 1.9 1.6 3.6 24.5 59.0 2.5 2.2 4.3 153.0 10.8 3.7 10.8 1.9 1.6 3.7 24.5 58.4 2.5 2.2 4.3 228.8 16.9 6.3 12.6 4.4 2.8 5.9 30.9 100.1 6.2 3.5 3.5 240.6 18.7 6.6 14.1 4.8 3.2 6.0 33.2 102.1 6.7 3.8 3.6 234.7 18.5 6.4 13.6 4.7 3.1 6.1 33.0 98.9 6.4 3.8 3.6 350.3 20.8 11.7 16.3 8.3 7.1 12.4 27.5 124.4 10.1 6.4 6.5 360.8 21.2 12.3 17.1 8.6 7.9 13.1 28.5 128.5 10.0 6.3 6.6 357.0 21.2 12.2 16.9 8.4 6.9 12.4 28.6 126.4 10.1 6.2 6.6 9.6 1.7 10.1 1.9 10.0 1.9 14.5 2.7 15.0 2.8 14.4 2.7 19.3 4.1 20.2 4.1 19.9 4.1 43.3 2.0 2.0 2.3 32.3 44.7 2.0 2.3 2.4 33.0 44.7 2.0 2.3 2.4 32.8 94.8 4.1 5.0 5.7 73.9 98.6 4.7 5.9 5.4 76.2 97.9 4.6 6.0 5.2 75.5 81.4 6.3 5.9 9.1 48.3 88.5 7.0 6.7 9.4 51.8 85.2 7.0 6.2 9.0 50.4 2.0 1.9 2.0 3.2 3.3 3.3 1.9 2.0 2.0 (In thousands) Leisure and hospitality State and area Jan. 2002 Dec. 2002 Government Other services Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P 59.8 10.4 10.0 5.9 6.1 62.9 11.3 10.4 6.5 7.0 61.5 11.2 9.9 6.0 6.3 54.9 10.2 7.9 4.9 5.5 55.1 10.6 8.1 4.9 5.5 55.1 10.5 8.1 4.8 5.4 139.1 24.0 20.8 9.5 10.3 144.3 25.0 22.0 9.7 10.0 137.7 24.6 20.1 9.6 9.6 221.0 14.7 6.8 11.6 5.6 6.0 6.7 22.5 60.4 5.8 3.7 4.8 231.5 16.1 7.1 12.5 5.6 5.7 6.9 23.5 61.9 6.0 3.8 4.9 224.8 15.8 7.0 12.4 5.5 5.5 6.8 22.7 60.4 5.8 3.7 4.8 131.0 9.8 3.6 6.2 2.7 2.6 3.6 14.4 41.0 4.7 2.9 3.1 136.1 10.2 3.7 6.4 2.8 2.7 3.6 15.0 42.2 4.8 3.2 3.3 137.1 10.1 3.7 6.3 2.8 2.7 3.6 14.9 40.8 4.8 3.2 3.3 408.6 23.6 10.6 17.4 8.7 8.8 11.1 73.7 94.2 10.3 6.6 7.8 425.6 24.2 13.0 17.8 9.1 9.3 10.7 76.3 98.3 10.7 6.7 8.1 402.0 23.7 10.7 17.1 8.7 8.9 9.8 71.0 91.9 10.6 6.5 7.8 Wyoming Casper 26.6 2.8 27.6 3.2 26.8 3.0 9.3 1.6 9.4 1.7 9.4 1.7 61.9 5.5 63.7 5.9 62.7 5.6 Puerto Rico Caguas Mayaguez Ponce San Juan-Bayamon 62.4 2.9 3.6 3.5 46.0 64.9 3.0 3.7 3.7 47.0 63.8 2.9 3.7 3.6 45.7 16.4 .7 .7 .8 12.9 16.2 .7 .8 .8 12.7 15.6 .7 .8 .9 12.2 290.8 15.6 18.3 22.7 180.1 301.6 15.9 19.1 23.5 186.9 293.7 15.5 18.3 22.7 182.4 7.0 7.0 7.0 2.2 2.1 2.1 12.1 12.4 12.3 West Virginia Charleston Huntington-Ashland Parkersburg-Marietta Wheeling Wisconsin Appleton-Oshkosh-Neenah Eau Claire Green Bay Janesviile-Beloit Kenosha LaCrosse Madison Milwaukee-Waukesha Racine Sheboygan Wausau Virgin Islands 1 Natural resources and mining is combined with construction. Data for 2003 are not directly comparable with data for previous years because of a change in metropolitan area definitions. P = preliminary. NOTE: Data reflect the conversion to the 2002 version of the North American Industry Classification System (NAICS) as the basis for the assignment and tabulation of economic data by industry, replacing the 1987 Standard Industrial Classification (SIC) 2 system. Due to differences in NAICS and SIC structures, NAICS-based data by industry are not comparable with the SIC-based data. In addition, data reflect March 2002 benchmark levels, the completion of the conversion of the survey sample from a quota-based basis to a probability-based basis, and the introduction of estimates based on small-domain models for some areas. See the article, "Revisions to the Current Employment Statistics State and Area Estimates Effective January 2003/ in this issue for additional information on the changes. Industry 1987 SIC Code Total private Goods-producing Mining Average weekly hours Average overtime hours Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P 34.2 33.6 34.4 33.7 34.0 _ _ _ _ _ 40.3 39.9 40.4 39.8 39.3 - - - - - 42.9 42.2 42.3 41.9 42.1 - - - - - _ _ _ _ _ _ - - - - - - - - - - - - _ _ _ _ _ _ - - - - - - _ _ _ _ - - - - - - - - _ _ _ - - - Metal mining Iron ores Copper ores 10 101 102 43.3 40.0 45.4 44.1 39.8 47.1 42.8 39.4 43.6 43.4 40.9 43.2 Coal mining Bituminous coal and lignite mining 12 122 46.9 46.9 47.3 47.3 47.1 47.2 48.2 48.2 Oil and gas extraction Crude petroleum and natural gas Oil and gas field services 13 131 138 40.5 39.2 41.3 39.9 39.7 40.2 39.9 38.4 40.8 39.4 38.3 40.1 _ - - - - Nonmetallic minerals, except fuels Crushed and broken stone 14 142 46.8 46.8 45.2 44.1 46.0 43.3 44.7 41.1 _ — _ - - - 38.8 38.5 37.8 38.1 36.6 37.9 35.8 36.7 40.2 _ 42.3 40.3 43.0 _ 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 15 152 153 154 16 161 162 38.2 36.2 36.1 40.5 43.4 43.7 43.3 38.2 35.6 38.7 40.9 42.7 40.8 43.4 37.7 35.8 35.8 39.9 41.0 39.1 41.8 - - - - - _ _ _ _ _ - - - - - - - - - - - - - - - - - - _ _ _ _ - - - - - - - - - - - - _ _ _ _ 17 171 172 173 174 175 176 38.0 38.8 38.3 38.8 35.5 38.2 34.6 37.8 39.0 37.3 38.6 35.6 37.9 34.5 37.1 38.6 37.6 38.6 34.8 37.4 32.8 37.3 38.1 37.5 38.5 35.3 37.1 33.2 _ 24 241 242 2421 2426 243 2431 2434 2435 2436 244 245 2451 249 40.9 41.3 41.0 42.6 41.5 41.5 41.3 42.2 42.0 44.4 41.6 37.0 39.6 34.3 32.7 39.7 40.4 40.8 39.9 43.1 40.5 40.6 40.3 40.7 41.0 42.4 41.8 36.7 38.5 33.8 32.7 38.8 41.5 41.9 41.1 41.6 41.2 41.2 41.1 42.8 42.7 45.2 40.8 39.0 39.0 34.7 32.7 40.3 40.5 41.0 40.1 41.0 40.7 40.8 40.2 41.6 41.9 42.7 41.1 38.7 37.5 33.4 31.7 39.4 40.4 40.8 40.3 25 251 2511 2512 2514 2515 252 253 254 259 40.2 38.7 38.5 38.0 45.4 39.8 40.6 44.1 43.6 37.9 40.0 39.2 39.3 38.5 46.1 40.2 41.2 40.3 43.3 36.7 41.3 40.1 39.2 39.8 47.1 41.7 42.0 45.2 43.6 37.6 39.7 38.6 36.8 37.8 45.2 43.8 39.8 42.0 44.1 35.5 39.4 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 4.1 4.1 5.1 6.7 4.7 5.0 3.8 6.3 7.7 5.8 4.4 5.5 3.7 1.8 1.9 2.9 3.7 3.7 4.2 7.3 4.4 4.9 2.8 4.7 6.0 4.1 3.8 5.0 2.8 1.4 1.6 2.6 4.5 4.5 5.1 5.9 4.4 4.6 3.7 6.5 7.7 6.9 3.5 5.3 3.6 2.5 2.7 3.0 3.9 3.9 4.2 5.1 4.2 4.6 2.8 4.9 6.2 4.1 4.2 4.9 2.2 2.3 2.5 3.0 3.8 3.9 3.0 2.3 2.6 1.0 5.5 3.5 3.2 2.7 4.9 4.0 3.2 2.8 3.1 1.3 7.8 3.6 4.5 2.4 4.8 2.0 3.1 2.7 2.9 1.3 4.6 4.8 4.2 2.7 4.7 2.5 2.4 2.2 2.0 0.8 3.5 5.8 2.5 1.5 4.3 1.0 - - - - - _ - - - Industry 1987 SIC Code Total private Goods-producing Mining Average hourly earnings Average weekly earnings Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P $14.77 $14.64 $15.04 $15.06 $15.16 $505.13 $491.90 $517.38 $507.52 $515.44 16.41 16.17 16.67 16.57 16.55 661.32 645.18 673.47 659.49 650.42 17.77 17.89 17.85 18.02 18.24 762.33 754.96 755.06 755.04 767.90 814.47 877.20 727.31 828.64 893.51 748.42 808.06 851.04 698.91 835.88 945.61 690.77 921.12 927.21 927.55 931.81 929.28 940.22 954.84 963.04 719.69 947.07 632.30 719.00 964.31 616.27 711.42 944.64 623.42 708.41 937.20 620.75 748.33 724.93 706.02 649.15 737.38 664.66 719.67 621.02 732.16 714.56 726.89 724.28 702.50 617.21 649.80 798.66 693.33 603.78 704.34 785.69 708.01 622.20 661.58 805.58 705.70 615.04 682.62 805.61 _ 786.84 797.09 782.86 749.81 706.25 765.58 751.53 709.67 768.70 760.55 711.70 777.87 _ 729.60 755.05 667.57 843.51 657.46 744.52 580.59 715.18 749.97 636.34 820.25 647.56 730.33 576.50 726.42 765.05 667.02 859.62 653.89 743.89 546.12 722.50 747.90 663.75 843.92 655.17 726.05 549.79 625.77 651.71 512.50 615.14 515.43 533.28 448.11 531.72 542.64 541.68 492.96 555.37 412.24 421.20 403.19 481.96 612.06 636.89 493.96 603.40 500.18 518.06 437.66 508.75 524.39 513.04 490.73 543.16 402.33 403.57 394.36 466.76 646.57 674.17 520.33 616.10 519.94 537.25 457.44 545.27 557.24 560.48 482.66 597.48 405.60 431.67 404.83 491.26 629.78 658.46 506.06 609.67 511.60 528.77 449.44 526.24 547.63 519.23 501.83 584.37 392.25 415.83 389.91 483.44 628.62 654.84 511.00 508.53 462.08 440.83 475.38 491.68 517.80 541.60 618.72 583.80 484.74 504.40 467.26 447.23 479.71 508.48 521.80 552.90 562.59 583.25 453.98 529.88 490.42 458.64 509.84 511.98 562.53 568.68 629.64 585.11 492.56 507.37 470.92 424.67 483.46 489.52 598.31 536.90 579.18 588.29 466.83 505.11 _ Metal mining Iron ores Copper ores 10 101 102 18.81 21.93 16.02 18.79 22.45 15.89 18.88 21.60 16.03 19.26 23.12 15.99 Coal mining Bituminous coal and lignite mining 12 122 19.64 19.77 19.61 19.70 19.73 19.92 19.81 19.98 Oil and gas extraction Crude petroleum and natural gas Oil and gas field services 13 131 138 17.77 24.16 15.31 18.02 24.29 15.33 17.83 24.60 15.28 17.98 24.47 15.48 _ Nonmetallic minerals, except fuels Crushed and broken stone 14 142 15.99 15.49 15.62 14.72 16.03 15.35 16.10 15.11 _ 18.87 18.56 19.23 19.01 18.39 17.05 18.00 19.72 18.15 16.96 18.20 19.21 18.78 17.38 18.48 20.19 18.62 17.18 18.60 20.04 _ _ Construction General building contractors Residential building construction Operative builders Nonresidential building construction 15 152 153 154 - _ - - - 18.99 - Heavy construction, except building Highway and street construction Heavy construction, except highway 16 161 162 18.13 18.24 18.08 17.56 17.31 17.64 18.33 18.15 18.39 17.98 17.66 18.09 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 19.20 19.46 17.43 21.74 18.52 19.49 16.78 18.92 19.23 17.06 21.25 18.19 19.27 16.71 19.58 19.82 17.74 22.27 18.79 19.89 16.65 19.37 19.63 17.70 21.92 18.56 19.57 16.56 24 241 242 2421 2426 243 2431 2434 2435 2436 244 245 2451 249 15.30 15.78 12.50 14.44 12.42 12.85 10.85 12.60 12.92 12.20 11.85 15.01 10.41 12.28 12.33 12.14 15.15 15.61 12.38 14.00 12.35 12.76 10.86 12.50 12.79 12.10 11.74 14.80 10.45 11.94 12.06 12.03 15.58 16.09 12.66 14.81 12.62 13.04 11.13 12.74 13.05 12.40 11.83 15.32 10.40 12.44 12.38 12.19 15.55 16.06 12.62 14.87 12.57 12.96 11.18 12.65 13.07 12.16 12.21 15.10 10.46 12.45 12.30 12.27 15.56 16.05 12.68 25 251 2511 2512 2514 2515 252 253 254 259 12.65 11.94 11.45 12.51 10.83 13.01 13.34 14.03 13.39 12.79 12.61 11.92 11.38 12.46 11.03 12.98 13.42 13.96 13.47 12.37 12.83 12.23 11.70 12.81 10.87 13.49 13.54 13.93 13.42 13.10 12.78 12.20 11.54 12.79 10.83 13.66 13.49 13.79 13.34 13.15 12.82 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 - _ - - - - - - _ - _ - _ - _ - 695.03 - - _ - - - - - Industry 1987 SIC Code Average overtime hours Average weekly hours Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 6.2 2.7 5.5 5.9 5.2 7.6 5.8 6.6 5.1 7.3 4.4 6.4 8.5 3.5 1.2 5.1 2.7 4.5 4.9 4.3 5.6 7.1 6.3 4.1 5.9 3.6 6.2 6.2 3.1 0.6 5.6 2.7 5.9 6.6 5.5 8.2 6.2 5.6 5.5 5.7 2.7 5.3 6.4 4.0 1.6 5.2 2.6 5.8 6.5 5.4 6.6 7.5 5.1 5.5 5.4 3.0 5.6 5.6 3.2 1.2 6.5 7.1 7.3 9.6 6.3 6.5 5.1 7.8 13.7 17.1 6.2 5.7 9.0 4.6 4.3 4.5 5.7 6.0 5.8 10.5 5.8 5.8 4.2 7.6 11.8 13.6 5.7 5.1 9.0 4.6 3.3 2.7 6.8 6.8 6.8 9.1 7.0 6.8 6.9 9.5 15.6 19.4 6.6 5.4 8.6 4.7 5.1 6.5 6.1 6.2 6.2 8.2 6.9 6.8 4.7 9.7 14.2 17.9 6.0 4.3 10.3 4.3 3.7 3.8 4.0 7.4 7.7 3.4 3.1 3.8 3.3 2.5 3.0 4.3 6.1 4.2 5.2 3.3 3.5 2.8 2.4 3.2 4.2 3.3 4.9 3.0 5.0 4.2 6.2 2.5 2.9 2.9 1.7 1.9 3.7 6.3 6.7 3.5 3.4 4.0 3.3 2.6 2.1 4.2 6.6 3.2 5.3 3.5 2.9 2.1 2.1 2.0 3.8 3.5 3.9 3.1 4.6 3.3 6.4 2.5 3.2 2.6 1.3 2.3 4.2 7.7 8.5 2.7 2.6 2.9 3.4 2.3 4.8 4.7 5.5 4.5 6.2 3.7 4.0 3.1 2.4 3.8 4.6 4.0 5.1 3.4 5.8 4.8 7.2 2.7 2.6 3.1 1.6 2.0 3.6 8.2 9.1 2.4 2.4 2.6 3.4 3.0 3.2 3.5 5.0 2.8 3.8 2.9 3.5 3.1 2.8 3.5 4.3 3.0 5.0 3.2 4.3 3.6 5.4 1.9 1.8 2.8 1.3 2.1 Durable goods—Continued Stone, clay, and glass products Flat glass Glass and glassware, pressed or blown Glass containers Pressed and blown glass, nec Products of purchased glass Cement, hydraulic Structural clay products Pottery and related products Concrete, gypsum, and plaster products Concrete block and brick Concrete products, nec Ready-mixed concrete Misc. nonmetallic mineral products Abrasive products 32 321 322 3221 3229 323 324 325 326 327 3271 3272 3273 329 3291 43.5 38.5 43.2 45.4 41.8 42.7 45.4 40.7 41.4 45.6 41.9 42.3 47.9 40.8 42.2 42.7 37.6 43.1 44.5 42.2 42.9 47.1 40.3 40.6 43.9 40.0 42.7 45.2 40.9 41.5 42.7 39.2 43.2 45.7 41.6 42.8 45.8 40.0 42.2 43.5 39.4 41.2 44.9 41.2 43.7 42.2 39.3 41.9 45.3 39.7 42.2 46.3 39.3 42.6 43.4 40.5 41.2 44.6 39.7 41.7 41.9 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, nec 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 44.3 45.6 46.5 45.8 44.4 45.0 52.8 44.3 47.0 47.5 42.9 43.5 42.8 42.2 42.7 44.8 43.5 44.2 45.1 45.4 44.1 44.3 52.5 45.0 46.2 45.3 42.4 42.7 41.8 42.3 41.9 42.5 45.4 46.3 47.0 45.6 45.0 45.3 52.9 45.5 51.2 53.8 44.1 44.2 43.2 43.2 44.3 47.9 44.3 44.7 45.3 42.9 44.3 45.1 49.4 44.1 50.2 52.6 43.7 42.6 42.7 42.5 43.0 45.6 44.3 44.5 Fabricated metal products Metal cans and shipping containers Metal cans Cutlery, handtools, and hardware Hand and edge tools, and blades and handsaws Hardware, nec 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, nec Metal services, nec Plating and polishing Metal coating and allied services Ordnance and accessories, nec Ammunition, except for small arms, nec Misc. fabricated metal products Valves and pipe fittings, nec 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 3471 3479 348 3483 349 3494 3496 41.7 45.2 45.1 41.0 41.6 40.9 41.5 40.2 40.7 42.1 42.1 42.5 43.6 41.7 39.7 38.3 38.7 37.9 43.5 41.0 46.2 39.0 39.5 39.3 39.7 41.9 43.5 41.4 33.7 38.3 41.2 43.6 44.1 41.5 41.9 42.0 41.7 41.3 39.7 42.0 42.3 41.0 44.6 41.8 38.1 37.3 38.4 36.2 42.9 41.4 45.1 38.8 38.2 38.4 37.9 42.8 45.4 40.8 34.5 39.2 42.2 46.3 46.7 41.0 42.5 40.3 42.1 39.7 43.4 42.8 42.1 44.2 44.4 41.8 41.0 39.0 38.9 39.2 44.0 42.4 46.6 39.3 40.5 40.6 40.3 41.3 42.8 41.9 33.7 38.7 41.3 46.2 46.7 40.5 42.5 39.6 41.5 40.1 40.9 41.1 41.4 41.0 41.7 41.4 39.5 39.2 40.1 38.3 43.8 40.8 47.0 38.8 38.5 38.2 39.0 40.1 40.8 41.3 33.2 38.6 41.0 - - - - - - - Feb. 2003P - - - _ - - - - - Industry 1987 SIC Code Average hourly earnings Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P $15.12 19.19 17.73 18.05 17.51 13.64 18.81 11.84 13.06 14.90 14.48 12.89 16.21 15.07 12.87 $15.75 18.40 18.29 19.26 17.61 13.97 20.16 12.27 13.68 15.61 16.38 13.28 16.76 15.83 13.34 $15.76 18.52 18.30 19.30 17.54 14.26 20.35 12.64 13.68 15.53 15.92 13.20 16.76 15.72 13.29 $15.70 $673.38 726.50 776.30 858.06 723.56 584.99 892.56 488.81 550.62 705.43 640.23 552.86 801.85 624.24 545.65 $645.62 721.54 764.16 803.23 738.92 585.16 885.95 477.15 530.24 654.11 579.20 550.40 732.69 616.36 534.11 $672.53 721.28 790.13 880.18 732.58 597.92 923.33 490.80 577.30 679.04 645.37 547.14 752.52 652.20 582.96 $665.07 727.84 766.77 874.29 696.34 601.77 942.21 496.75 582.77 674.00 644.76 543.84 747.50 624.08 554.19 $657.83 17.70 21.34 23.30 16.94 16.81 18.02 16.48 14.27 20.73 21.48 15.58 17.02 18.76 14.84 13.94 14.09 17.60 21.28 779.68 946.96 14.97 18.04 19.04 13.83 13.54 14.43 13.46 13.17 13.88 14.22 14.34 12.28 15.47 14.89 14.33 15.44 14.31 16.60 17.84 16.22 19.93 15.07 13.06 12.40 13.99 16.00 18.10 14.46 15.33 12.87 14.97 613.77 Durable goods—Continued Stone, clay, and glass products Flat glass Glass and glassware, pressed or blown Glass containers Pressed and blown glass, nec Products of purchased glass Cement, hydraulic Structural clay products Pottery and related products Concrete, gypsum, and plaster products Concrete block and brick Concrete products, nec Ready-mixed concrete Misc. nonmetallic mineral products Abrasive products 32 321 322 3221 3229 323 324 325 326 327 3271 3272 3273 329 3291 $15.48 18.87 17.97 18.90 17.31 13.70 19.66 12.01 13.30 15.47 15.28 13.07 16.74 15.30 12.93 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, nec 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 17.42 20.86 22.73 16.70 16.29 17.42 15.78 14.24 19.77 20.39 15.79 17.15 19.24 14.80 13.76 13.69 17.15 20.53 22.40 16.71 16.20 17.48 15.28 14.14 19.76 20.26 15.59 16.56 19.09 14.68 13.45 13.24 17.64 21.09 22.93 16.99 16.68 17.83 17.16 14.39 19.96 20.33 15.93 17.35 18.86 14.92 13.85 14.03 14.71 17.88 18.99 13.85 13.76 14.27 13.21 12.96 13.75 13.98 14.08 12.19 15.19 14.41 14.20 15.27 14.37 16.17 17.54 15.99 19.81 14.44 12.82 12.16 13.75 15.65 17.73 14.24 15.29 12.70 14.57 17.82 18.87 13.82 13.77 14.27 13.10 12.86 13.45 13.95 14.17 12.07 15.19 14.32 14.04 15.06 14.29 15.86 17.19 15.57 19.43 14.33 12.67 12.02 13.63 15.66 17.59 14.02 14.83 12.46 14.98 18.06 19.14 13.94 13.78 14.44 13.40 13.26 13.93 14.21 14.31 12.34 15.41 14.72 14.64 15.55 14.49 16.58 17.99 16.66 20.17 14.95 13.11 12.37 14.15 16.05 17.91 14.45 15.47 12.89 Fabricated metal products 34 Metal cans and shipping containers 341 Metal cans 3411 Cutlery, handtools, and hardware 342 Hand and edge tools, and blades and handsaws 3423,5 Hardware, nec 3429 Plumbing and heating, except electric 343 Plumbing fixture fittings and trim 3432 Heating equipment, except electric 3433 344 Fabricated structural metal products Fabricated structural metal 3441 Metal doors, sash, and trim 3442 Fabricated plate work (boiler shops) 3443 Sheet metal work 3444 Architectural metal work 3446 Screw machine products, bolts, etc 345 Screw machine products 3451 Bolts, nuts, rivets, and washers 3452 Metal forgings and stampings 346 Iron and steel forgings 3462 Automotive stampings 3465 Metal stampings, nec 3469 Metal services, nec 347 Plating and polishing 3471 Metal coating and allied services 3479 Ordnance and accessories, nec 348 Ammunition, except for small arms, nec 3483 Misc. fabricated metal products 349 Valves and pipe fittings, nec 3494 Misc. fabricated wire products 3496 Average weekly earnings - _ - - - - 771.71 951.22 1,056.95 764.86 723.28 783.90 833.18 630.83 929.19 968.53 677.39 746.03 823.47 624.56 587.55 613.31 746.03 907.43 1,010.24 758.63 714.42 774.36 802.20 636.30 912.91 917.78 661.02 707.11 797.96 620.96 563.56 562.70 800.86 976.47 1,077.71 774.74 750.60 807.70 907.76 654.75 1,021.95 1,093.75 702.51 766.87 814.75 644.54 613.56 672.04 784.11 953.90 1,055.49 726.73 744.68 812.70 814.11 629.31 1,040.65 1,129.85 680.85 725.05 801.05 630.70 599.42 642.50 613.41 808.18 856.45 567.85 572.42 583.64 548.22 520.99 559.63 588.56 592.77 518.08 662.28 600.90 563.74 584.84 556.12 612.84 762.99 655.59 915.22 563.16 506.39 477.89 545.88 655.74 771.26 589.54 515.27 486.41 600.28 776.95 832.17 573.53 576.96 599.34 546.27 531.12 533.97 585.90 599.39 494.87 677.47 598.58 534.92 561.74 548.74 574.13 737.45 644.60 876.29 556.00 483.99 461.57 516.58 670.25 798.59 572.02 511.64 488.43 632.16 836.18 893.84 571.54 585.65 581.93 564.14 526.42 604.56 608.19 602.45 545.43 684.20 615.30 600.24 606.45 563.66 649.94 791.56 706.38 939.92 587.54 530.96 502.22 570.25 662.87 766.55 605.46 521.34 498.84 618.26 833.45 889.17 560.12 575.45 571.43 558.59 528.12 567.69 584.44 593.68 503.48 645.10 616.45 566.04 605.25 573.83 635.78 781.39 661.78 936.71 584.72 502.81 473.68 545.61 641.60 738.48 597.20 508.96 496.78 - - - _ - Industry Durable goods—Continued Industrial machinery and equipment Engines and turbines Turbines and turbine generator sets Internal combustion engines, nec 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, nec Computer and office equipment Electronic computers Computer terminals, calculators, and office machines, nec Refrigeration and service machinery Refrigeration and heating equipment Misc. industrial and commercial machinery Carburetors, pistons, rings, valves Scales, balances, and industrial machinery, nec .. 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, nec Misc. electrical equipment and supplies Storage batteries Engine electrical equipment 1987 SIC Code Average overtime hours Average weekly hours Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 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 40.6 43.1 45.7 42.1 38.6 39.2 41.3 38.8 42.1 46.7 44.0 36.0 40.2 40.5 33.5 40.8 40.7 38.9 39.6 36.4 39.7 42.6 40.6 39.7 39.7 46.7 41.2 36.2 43.2 40.1 41.8 40.3 42.9 47.6 41.0 38.4 38.8 41.8 40.1 43.2 46.3 43.1 36.7 40.1 40.3 33.5 40.8 40.2 38.8 39.7 36.5 38.5 43.6 40.1 38.2 39.4 45.6 41.9 35.2 44.3 40.0 41.5 41.3 42.7 42.7 42.7 39.2 39.5 41.6 39.2 43.0 45.6 43.9 36.9 41.4 41.9 34.4 42.0 42.0 40.2 40.7 37.4 39.6 43.2 41.9 41.6 41.3 49.2 42.6 37.5 42.8 40.5 42.7 40.7 43.4 42.6 43.7 39.2 39.8 41.6 39.4 43.8 46.0 43.1 36.8 41.0 40.9 32.9 42.3 41.1 38.5 39.9 36.7 39.0 42.0 40.5 41.4 40.0 46.5 40.2 36.9 42.3 38.4 40.1 40.9 3.7 4.2 3.6 4.4 3.3 4.1 4.4 2.3 5.1 8.1 6.7 0.6 4.2 2.2 1.8 5.3 3.9 1.8 3.3 0.3 4.5 7.0 3.0 3.4 4.1 2.2 2.8 3.4 4.0 1.9 0.4 3.3 3.8 4.1 3.7 3.4 4.1 4.3 3.0 5.2 5.9 6.1 0.5 4.2 2.2 1.6 5.6 2.9 1.8 3.2 0.3 2.4 5.3 2.8 2.6 4.2 1.7 3.1 2.0 3.8 1.2 0.1 4.2 4.0 2.7 4.5 3.1 4.0 4.3 2.5 5.7 7.2 5.8 0.8 5.0 2.8 2.6 6.2 4.5 1.6 4.2 0.3 5.5 10.7 3.5 3.2 4.7 3.2 4.0 4.2 4.0 2.5 0.5 4.0 4.0 2.2 4.6 3.0 3.9 4.2 1.6 6.8 7.8 5.4 1.0 5.1 2.9 2.1 6.6 3.9 1.4 3.6 0.1 5.7 8.6 2.7 3.0 3.8 2.0 2.0 3.8 4.2 1.6 0.2 3575,8,9 358 3585 359 3592 3596,9 39.9 40.2 40.5 41.0 42.7 41.0 40.6 39.4 39.8 40.5 42.0 40.2 37.8 40.5 40.3 41.9 43.4 42.0 36.1 39.4 39.4 41.8 44.2 41.8 4.4 4.2 5.0 4.0 5.3 3.8 3.2 3.1 3.6 3.4 4.6 3.3 4.7 4.8 5.6 4.5 5.6 4.3 3.6 5.0 6.0 4.6 5.4 4.6 36 361 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 39.0 39.6 38.6 40.4 40.3 40.9 39.0 37.1 32.3 41.2 38.4 39.5 41.7 39.6 36.8 37.3 36.5 37.9 38.9 34.9 38.8 43.6 36.5 41.6 40.5 41.2 42.2 38.6 39.1 38.4 39.6 39.9 40.2 39.5 37.3 31.7 43.1 37.2 38.5 38.1 39.4 36.0 36.7 37.7 39.5 38.5 34.8 38.6 42.7 37.9 40.6 39.1 37.4 41.0 39.9 41.8 40.4 42.8 41.5 41.4 40.7 39.8 36.6 41.0 39.1 40.0 41.9 40.3 38.8 38.0 36.7 38.6 38.6 35.0 39.7 43.8 35.7 43.5 41.3 44.7 42.2 38.6 39.9 39.0 40.6 40.2 41.0 38.3 37.9 34.4 42.3 36.7 38.6 39.0 39.2 37.7 37.2 32.8 32.8 3R.3 34.2 38.7 43.7 36.0 41.3 39.9 41.0 41.8 2.7 3.2 1.8 4.3 2.8 3.1 2.2 1.3 0.5 1.4 4.6 4.2 3.7 3.2 3.3 1.3 2.5 3.1 1.7 0.7 2.7 1.9 2.4 2.7 2.7 2.5 2.0 2.3 2.8 2.0 3.4 2.4 2.4 1.7 1.0 0.2 1.2 2.9 3.9 2.5 3.3 3.2 1.0 2.3 2.6 1.4 0.8 2.4 1.7 2.3 2.3 1.7 1.6 1.7 3.1 4.6 2.2 6.4 3.7 3.4 3.7 1.8 1.1 0.9 6.8 4.5 4.3 3.2 3.7 1.6 2.1 2.9 2.1 0.6 3.0 1.7 2.1 3.8 3.3 3.7 2.1 2.5 4.2 2.4 5.5 2.8 3.3 1.8 1.4 0.9 1.2 4.5 3.8 2.7 3.0 3.9 1.3 1.5 2.0 1.5 0.5 2.4 2.0 2.0 2.4 2.6 2.3 1.9 - - - 38.7 - — Feb. 2003P - - - - Industry Durable goods—Continued Industrial machinery and equipment Engines and turbines Turbines and turbine generator sets Internal combustion engines, nec 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, nec Computer and office equipment Electronic computers Computer terminals, calculators, and office machines, nec Refrigeration and sen/ice machinery Refrigeration and heating equipment Misc. industrial and commercial machinery Carburetors, pistons, rings, valves Scales, balances, and industrial machinery, nec .. 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, nec Misc. electrical equipment and supplies Storage batteries Engine electrical equipment 1987 SIC Code Average hourly earnings Average weekly earnings Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P $16.44 19.53 21.73 18.54 15.72 16.89 15.31 15.73 14.92 15.79 14.48 14.00 17.45 16.60 17.65 18.34 14.78 14.15 16.78 13.30 18.54 16.96 15.71 16.96 16.15 15.96 13.11 17.34 14.60 19.67 22.09 $16.31 18.61 21.36 17.29 15.73 16.77 15.19 15.89 15.30 15.30 14.30 13.57 17.37 16.48 17.88 18.39 14.50 13.90 16.60 13.01 18.13 16.52 15.35 16.78 15.98 15.44 12.63 16.81 14.29 19.90 22.79 $16.66 19.93 21.77 19.26 15.50 16.90 15.53 15.76 15.02 16.38 14.66 14.52 17.71 16.80 18.43 18.58 14.88 14.11 16.98 13.79 18.88 17.00 15.97 16.87 16.24 16.47 13.56 17.65 14.69 19.73 22.30 $16.66 19.76 22.09 18.94 15.52 16.83 15.49 15.84 15.31 16.24 14.37 14.23 17.85 17.00 18.66 18.76 14.80 14.26 17.02 13.39 19.12 16.94 15.87 16.87 16.27 16.27 13.20 17.35 14.91 20.02 22.61 $16.69 $667.46 841.74 993.06 780.53 606.79 662.09 632.30 610.32 628.13 737.39 637.12 504.00 701.49 672.30 591.28 748.27 601.55 550.44 664.49 484.12 736.04 722.50 637.83 673.31 641.16 745.33 540.13 627.71 630.72 788.77 923.36 $657.29 798.37 1,016.74 708.89 604.03 650.68 634.94 637.19 660.96 708.39 616.33 498.02 696.54 664.14 598.98 750.31 582.90 539.32 659.02 474.87 698.01 720.27 615.54 641.00 629.61 704.06 529.20 591.71 633.05 796.00 945.79 $688.06 851.01 929.58 822.40 607.60 667.55 646.05 617.79 645.86 746.93 643.57 535.79 733.19 703.92 633.99 780.36 624.96 567.22 691.09 515.75 747.65 734.40 669.14 701.79 670.71 810.32 577.66 661.88 628.73 799.07 952.21 $678.06 857.58 941.03 827.68 608.38 669.83 644.38 624.10 670.58 747.04 619.35 523.66 731.85 695.30 613.91 793.55 608.28 549.01 679.10 491.41 745.68 711.48 642.74 698.42 650.80 756.56 530.64 640.22 630.69 768.77 906.66 $682.62 3575,8,9 358 3585 359 3592 3596,9 16.93 14.40 14.50 15.75 16.40 15.70 16.43 14.28 14.34 15.54 16.02 15.49 16.78 14.71 14.82 16.04 16.87 15.96 17.50 14.71 14.84 15.95 16.90 15.82 675.51 578.88 587.25 645.75 700.28 643.70 667.06 562.63 570.73 629.37 672.84 622.70 634.28 595.76 597.25 672.08 732.16 670.32 631.75 579.57 584.70 666.71 746.98 661.28 36 361 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 15.00 15.11 13.63 16.20 14.47 13.29 16.76 13.21 14.95 12.04 13.50 14.72 20.07 14.81 12.78 12.45 14.06 12.87 15.30 15.27 15.90 15.72 21.81 13.24 14.40 17.13 13.56 14.86 14.88 13.66 15.80 14.47 13.42 16.53 13.00 14.69 11.97 13.19 14.53 19.14 14.68 12.63 12.39 13.74 12.89 15.30 15.62 15.82 15.43 21.44 12.98 13.86 16.36 13.01 15.19 15.37 13.96 16.37 14.75 13.41 17.31 13.62 15.70 11.94 13.70 14.78 20.93 14.73 12.75 12.58 14.10 12.84 15.69 15.33 15.99 15.75 22.14 13.50 14.91 17.37 14.16 15.12 15.17 13.77 16.16 14.70 13.53 16.93 13.77 15.76 13.08 13.55 14.73 20.74 14.87 12.86 12.45 14.28 12.69 15.43 15.10 15.89 15.93 21.80 13.33 14.82 17.27 14.06 585.00 598.36 526.12 654.48 583.14 543.56 653.64 490.09 482.89 496.05 518.40 581.44 836.92 586.48 470.30 464.39 513.19 487.77 595.17 532.92 616.92 685.39 796.07 550.78 583.20 705.76 572.23 573.60 581.81 524.54 625.68 577.35 539.48 652.94 484.90 465.67 515.91 490.67 559.41 729.23 578.39 454.68 454.71 518.00 509.16 589.05 543.58 610.65 658.86 812.58 526.99 541.93 611.86 533.41 606.08 642.47 563.98 700.64 612.13 555.17 704.52 542.08 574.62 489.54 535.67 591.20 876.97 593.62 494.70 478.04 517.47 495.62 605.63 536.55 634.80 689.85 790.40 587.25 615.78 776.44 597.55 583.63 605.28 537.03 656.10 590.94 554.73 648.42 521.88 542.14 553.28 497.29 568.58 808.86 582.90 484.82 463.14 468.38 416.23 590.97 516.42 614.94 696.14 784.80 550.53 591.32 708.07 587.71 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 - - - - - - 15.22 - - - - - - - - - - - - 589.01 - - - - - - Industry 1987 SIC Code Average overtime hours Average weekly hours Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 37 371 3711 3713 3714 3715 372 3721 3724 3728 373 3731 3732 374 376 3761 379 3792 42.5 44.2 44.1 44.5 44.4 45.6 41.0 39.6 42.2 41.7 36.8 37.5 35.8 40.2 42.6 42.9 40.6 41.6 42.3 43.6 44.0 43.5 43.4 46.8 41.8 40.9 42.6 42.1 37.2 37.9 36.2 40.2 41.8 43.6 39.5 42.7 43.4 45.3 45.8 46.5 45.3 46.2 40.9 37.8 42.5 43.1 37.8 38.8 36.4 42.8 42.6 42.0 40.8 41.6 42.6 44.4 45.0 46.1 44.3 44.8 41.0 38.1 42.0 43.2 36.4 36.7 36.1 39.7 42.4 42.0 41.1 41.2 41.6 43.1 4.9 5.7 7.7 4.3 5.0 3.6 3.8 3.4 5.1 3.3 3.4 4.4 2.1 3.0 4.6 7.0 2.0 1.3 4.5 5.0 7.3 3.3 4.2 1.5 3.8 3.7 4.6 3.5 3.8 4.9 2.3 3.0 5.4 8.5 1.6 1.7 5.9 7.1 10.3 5.8 5.7 4.9 4.2 3.5 6.0 3.8 4.0 5.3 2.4 4.4 3.9 5.7 2.3 1.7 5.1 6.1 8.6 4.7 5.1 3.4 3.6 3.1 4.8 3.3 3.9 5.1 2.3 4.2 4.1 5.7 2.4 1.7 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 40.7 38.9 41.4 41.3 40.1 39.9 40.5 42.3 38.9 43.1 38.8 37.3 40.6 38.6 41.2 42.3 39.5 40.1 40.8 42.9 39.2 42.1 38.3 38.2 41.6 39.2 43.0 43.0 42.2 40.3 41.7 43.6 40.0 41.7 38.0 40.0 40.6 38.9 41.4 42.7 40.8 38.4 40.9 42.1 39.2 41.1 36.2 40.0 40.7 2.7 2.2 2.6 3.6 1.9 1.1 2.8 3.6 2.6 1.8 3.7 2.1 2.7 2.5 2.4 3.9 1.5 1.1 3.1 4.2 2.8 1.5 2.9 3.2 3.3 2.5 3.3 5.3 2.6 1.4 3.8 5.0 3.2 1.3 3.4 4.2 2.8 2.4 2.5 4.4 1.7 1.0 3.3 3.9 2.9 1.2 3.0 4.2 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, nec 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 38.7 36.1 34.4 41.0 40.6 37.0 41.8 37.2 37.9 41.9 38.4 41.6 37.7 35.3 33.7 40.9 38.7 35.8 39.7 38.0 36.3 37.7 37.6 39.1 39.2 36.6 35.2 41.5 42.3 38.3 43.7 38.6 39.4 42.7 38.0 42.4 38.3 35.0 33.5 40.9 42.1 40.0 42.8 36.6 36.4 40.3 37.2 42.0 37.9 2.1 1.3 1.4 1.2 1.6 1.2 1.8 2.5 1.3 1.0 2.6 3.6 1.7 1.0 0.9 0.9 1.1 0.9 1.1 2.1 0.7 0.8 2.3 2.8 2.3 2.0 2.2 1.3 2.3 1.0 2.7 1.9 1.8 0.3 2.6 4.1 1.7 0.8 0.8 0.9 1.5 0.5 1.8 1.5 0.8 0.1 2.2 3.8 40.3 39.8 40.9 39.9 39.8 4.2 3.8 4.4 3.8 3.7 41.2 40.7 43.4 40.8 39.2 42.0 44.4 41.9 41.4 42.6 43.5 43.9 42.8 47.5 38.3 40.6 41.0 42.5 41.3 40.1 40.9 42.3 41.4 40.8 43.1 42.6 42.1 42.8 46.4 37.7 41.9 41.5 45.0 41.1 39.7 42.9 46.1 42.9 41.7 44.0 41.7 46.4 43.0 48.1 38.2 40.4 39.8 41.9 39.2 38.9 42.0 43.1 43.2 40.3 40.5 41.7 44.2 41.3 46.3 38.5 39.9 5.2 4.4 5.3 5.4 3.6 4.6 3.4 4.9 7.1 3.8 9.7 8.3 5.6 8.7 4.0 4.9 4.6 4.7 5.5 4.3 4.0 2.7 4.5 6.2 3.2 8.0 6.4 6.0 8.2 4.2 5.3 4.9 6.0 6.0 3.8 4.9 4.1 5.0 6.8 4.5 7.6 9.1 5.3 8.2 3.6 4.4 3.7 3.8 5.1 3.0 4.5 2.6 4.9 5.6 2.4 6.7 7.1 4.7 7.2 3.7 - 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, nec 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 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, nec 20 201 2011 2013 2015 202 2022 2026 203 2032 2033 2037 204 2041 2048 — - - - Feb. 2003P - - - - - - - Industry 1987 SIC Code Average hourly earnings Average weekly earnings Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P 37 371 3711 3713 3714 3715 372 3721 3724 3728 373 3731 3732 374 376 3761 379 3792 $19.89 20.50 25.31 17.51 18.62 12.63 21.72 24.52 21.31 19.23 15.34 16.73 13.43 18.56 21.96 23.42 13.20 12.66 $19.57 19.99 24.92 17.42 18.05 12.36 21.56 24.54 20.76 18.98 15.33 16.58 13.48 18.38 21.89 23.08 13.12 12.17 $20.55 21.40 26.48 17.65 19.37 12.98 21.92 24.26 22.48 19.45 15.56 17.00 13.58 19.09 21.88 23.58 13.39 12.86 $20.39 21.10 26.20 17.51 19.09 13.00 22.19 24.70 21.88 20.13 15.58 17.40 13.23 19.10 22.02 23.58 13.21 12.64 $20.26 20.87 $845.33 906.10 1,116.17 779.20 826.73 575.93 890.52 970.99 899.28 801.89 564.51 627.38 480.79 746.11 935.50 1,004.72 535.92 526.66 $827.81 871.56 1,096.48 757.77 783.37 578.45 901.21 1,003.69 884.38 799.06 570.28 628.38 487.98 738.88 915.00 1,006.29 518.24 519.66 $891.87 969.42 1,212.78 820.73 877.46 599.68 896.53 917.03 955.40 838.30 588.17 659.60 494.31 817.05 932.09 990.36 546.31 534.98 $868.61 936.84 1,179.00 807.21 845.69 582.40 909.79 941.07 918.96 869.62 567.11 638.58 477.60 758.27 933.65 990.36 542.93 520.77 $842.82 899.50 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 15.25 19.74 15.47 12.50 15.73 18.49 14.12 13.03 14.33 11.65 18.81 11.66 15.09 19.23 15.36 12.36 15.62 18.40 14.00 13.04 14.43 11.20 18.62 11.29 15.53 20.38 15.78 12.89 16.09 18.51 14.36 13.10 14.67 11.80 19.08 11.82 15.48 20.28 15.59 12.88 15.99 18.38 14.48 13.38 14.71 11.97 18.66 11.82 15.46 620.68 767.89 640.46 516.25 630.77 737.75 571.86 551.17 557.44 502.12 729.83 434.92 612.65 742.28 632.83 522.83 616.99 737.84 571.20 559.42 565.66 471.52 713.15 431.28 646.05 798.90 678.54 554.27 679.00 745.95 598.81 571.16 586.80 492.06 725.04 472.80 628.49 788.89 645.43 549.98 652.39 705.79 592.23 563.30 576.63 491.97 675.49 472.80 629.22 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, nec 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 12.40 12.98 13.13 11.53 12.21 12.26 12.20 12.89 11.15 9.86 12.51 13.89 12.46 12.90 13.05 11.61 12.11 12.49 11.99 12.43 11.34 10.45 12.75 14.22 12.54 13.20 13.41 11.59 12.16 11.81 12.27 13.36 10.96 9.50 12.73 14.20 12.56 12.93 13.07 11.57 12.17 11.68 12.33 13.26 11.21 10.05 12.84 14.05 12.55 479.88 468.58 451.67 472.73 495.73 453.62 509.96 479.51 422.59 413.13 480.38 577.82 469.74 455.37 439.79 474.85 468.66 447.14 476.00 472.34 411.64 393.97 479.40 556.00 491.57 483.12 472.03 480.99 514.37 452.32 536.20 515.70 431.82 405.65 483.74 602.08 481.05 452.55 437.85 473.21 512.36 467.20 527.72 485.32 408.04 405.02 477.65 590.10 475.65 14.61 14.47 14.84 14.81 14.87 588.78 575.91 606.96 590.92 591.83 13.23 10.92 11.62 12.53 9.87 15.23 13.48 15.81 12.87 15.67 13.31 12.82 15.68 13.52 13.18 13.14 10.86 11.43 12.52 9.90 15.09 13.40 15.74 12.74 15.30 13.28 12.95 15.65 13.74 13.41 13.40 11.11 11.85 12.77 9.95 15.33 13.67 15.77 13.33 15.65 14.01 13.37 15.73 13.47 13.27 13.31 10.86 11.49 12.60 9.77 15.48 13.65 15.97 13.19 15.27 14.10 13.29 15.61 13.51 13.04 13.29 545.08 444.44 504.31 511.22 386.90 639.66 598.51 662.44 532.82 667.54 578.99 562.80 671.10 642.20 504.79 533.48 445.26 485.78 517.08 396.99 617.18 566.82 651.64 519.79 659.43 565.73 545.20 669.82 637.54 505.56 561.46 461.07 533.25 524.85 395.02 657.66 630.19 676.53 555.86 688.60 584.22 620.37 676.39 647.91 506.91 537.72 432.23 481.43 493.92 380.05 650.16 588.32 689.90 531.56 618.44 587.97 587.42 644.69 625.51 502.04 530.27 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, nec 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 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, nec 20 201 2011 2013 2015 202 2022 2026 203 2032 2033 2037 204 2041 2048 - - - - - - - - - - - - - - _ - - - - - - - - - - - - - - - - - - Industry 1987 SIC Code Average weekly hours Average overtime hours Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 205 2051 39.8 39.2 37.9 37.3 40.6 39.9 38.1 37.9 2052,3 206 2061,2 2063 2064 207 208 2082 2086 209 40.7 44.3 65.7 42.5 41.1 42.6 45.5 48.2 46.6 37.6 38.8 43.7 59.7 44.2 41.3 42.6 43.5 45.0 44.9 36.6 41.7 45.3 69.0 43.2 41.6 43.8 46.3 52.8 46.2 38.6 38.4 44.0 64.9 43.1 41.9 42.7 46.0 50.5 47.8 37.6 Tobacco products Cigarettes 21 211 40.7 43.8 40.3 43.2 40.1 42.5 40.2 43.2 39.8 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, nec Knit outerwear 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 2257 226 2261 2262 227 228 2281 2282 229 41.2 38.8 41.9 41.0 38.3 40.1 39.2 36.9 43.3 36.8 42.0 45.7 41.3 44.2 41.2 40.4 44.7 41.7 39.9 37.6 40.5 37.9 39.2 37.7 35.5 33.7 42.2 36.8 40.7 45.8 39.6 44.3 39.4 38.7 42.5 40.8 41.6 38.7 43.0 43.3 36.3 39.6 39.5 37.5 40.1 35.6 42.8 46.5 42.3 45.3 41.7 40.4 46.8 42.5 40.4 38.2 42.6 44.5 34.0 37.9 36.5 35.7 37.9 35.5 41.1 44.7 42.5 43.9 40.0 38.5 46.8 42.3 40.4 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, nec 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 Fur goods and misc. apparel and accessories Misc. fabricated textile products Curtains and draperies House furnishings, nec Automotive and apparel trimmings 23 231 232 2321 2325 2326 233 2331 2335 2337 2339 234 2341 2342 236 2361 237,8 239 2391 2392 2396 36.9 36.5 36.4 33.4 33.5 35.1 36.2 29.7 44.4 38.1 35.0 32.7 34.1 28.6 41.8 43.6 33.6 38.4 34.9 39.0 39.8 36.1 35.3 36.1 32.5 32.8 36.3 35.9 29.1 43.9 40.6 34.5 31.2 34.4 23.6 42.3 44.3 32.9 37.1 35.1 39.0 37.9 37.1 38.6 36.5 33.3 32.7 35.4 35.3 27.9 41.6 39.3 34.4 34.0 34.9 30.2 42.9 45.3 33.4 39.1 32.5 40.9 39.7 36.2 37.1 35.3 31.9 32.5 31.6 35.3 28.2 42.1 39.3 34.3 33.3 34.1 30.2 43.0 45.1 33.4 37.6 30.7 39.2 38.5 36.6 Paper and allied products Paper mills Paperboard mills 26 262 263 41.6 42.5 38.7 41.3 43.1 38.9 42.5 42.8 39.9 42.0 42.6 40.3 41.7 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 Cane sugar Beet sugar Candy and other confectionery products Fats and oils Beverages Malt beverages Bottled and canned soft drinks Misc. food and kindred products Feb. 2003P - - - - - - - - - - - - - Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 3.6 3.6 3.1 2.8 3.4 3.3 2.7 2.7 3.7 7.2 15.7 3.8 6.9 6.2 6.1 6.3 7.8 5.0 3.6 6.3 14.9 4.9 5.5 5.6 5.2 6.8 5.6 5.2 3.6 8.5 19.5 4.0 7.9 7.9 5.2 6.3 6.5 4.7 2.6 7.4 17.1 4.7 6.9 7.3 5.3 5.7 6.5 4.8 3.6 4.7 4.1 5.3 3.4 4.8 3.0 4.4 4.0 3.0 4.0 1.1 1.9 5.4 2.6 2.4 11.0 1.9 5.0 6.8 3.2 2.9 4.2 4.5 3.6 4.0 3.6 2.7 4.1 0.6 1.6 4.2 1.6 1.6 9.5 1.9 4.8 7.1 2.4 3.3 3.8 4.3 2.8 3.2 4.1 2.9 4.0 1.5 1.5 6.1 3.6 2.9 12.9 1.6 5.3 7.7 3.8 2.5 3.7 3.5 4.2 4.3 3.4 2.8 4.4 1.3 1.4 3.3 1.7 1.8 5.3 1.3 3.9 5.2 3.3 2.6 3.6 3.5 4.3 4.2 2.0 0.1 2.3 0.3 1.1 5.8 0.7 1.8 1.3 0.9 0.5 0.9 1.2 0.6 2.2 1.4 2.2 3.2 0.3 2.4 4.0 1.6 0.2 1.7 0.1 0.5 5.7 0.5 1.7 1.0 0.4 0.3 0.6 0.8 0.0 2.1 0.7 1.8 2.6 0.3 2.2 2.8 2.1 0.1 2.9 0.3 0.7 6.1 0.7 0.8 0.5 0.9 0.7 1.0 1.1 0.5 3.3 3.9 2.2 3.1 0.5 3.7 3.3 1.7 0.1 2.3 0.2 1.4 3.9 0.8 1.2 1.1 1.7 0.6 1.3 1.4 0.6 4.1 4.5 1.4 2.2 0.2 2.7 2.6 5.0 5.8 6.5 4.6 5.6 6.3 5.4 5.8 6.4 5.1 5.2 6.6 Feb. 2003P - - - _ - _ - - - - - - - - - - Industry 1987 SIC Code Average weekly earnings Average hourly earnings Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P - $587.85 574.28 $552.20 535.26 $604.13 588.92 $574.17 566.98 - 609.28 691.97 995.36 721.65 655.55 549.11 823.10 1,190.54 768.43 448.94 578.51 676.48 924.16 752.73 645.93 546.98 787.35 1,138.50 719.30 447.98 628.00 700.79 988.08 703.30 667.26 565.02 846.83 1,321.58 741.97 470.15 585.60 698.28 1,002.71 729.68 676.69 549.12 828.92 1,264.02 739.47 456.84 - 881.56 1,192.24 854.76 1,153.01 830.07 1,180.23 846.21 1,201.82 $845.75 482.86 457.45 535.90 501.43 429.73 443.91 360.64 398.15 526.10 416.94 497.70 516.87 538.55 513.60 456.08 441.98 501.09 540.85 465.23 441.05 513.54 448.36 437.47 418.47 326.25 362.28 516.11 413.63 481.89 526.24 502.92 507.24 430.64 419.90 468.35 528.36 492.54 453.95 551.69 545.58 406.20 448.67 376.44 416.25 514.88 405.84 514.03 526.38 570.20 528.65 467.04 440.36 549.43 555.90 481.16 454.58 562.75 558.03 394.06 431.30 346.75 390.20 501.04 407.90 489.09 489.91 568.65 505.29 450.40 426.20 539.14 558.78 479.95 365.68 346.02 331.24 297.59 310.55 324.32 328.33 277.10 469.75 385.57 301.70 319.81 324.29 308.31 359.48 357.96 311.47 427.39 299.44 384.93 559.19 350.89 336.76 323.46 281.78 301.76 329.24 318.43 277.61 457.44 358.90 291.53 306.07 331.62 245.44 361.24 367.25 297.75 405.13 296.95 379.86 520.75 375.08 369.79 333.98 305.69 306.73 323.20 332.88 250.82 441.38 438.59 311.32 329.80 329.46 330.39 391.25 393.66 317.63 440.27 276.25 406.96 583.99 364.90 355.05 323.00 289.33 300.63 296.41 330.06 251.26 455.52 428.76 306.64 325.67 320.20 351.53 380.55 367.57 318.64 424.50 255.12 383.77 563.26 367.83 728.00 966.45 868.04 709.95 938.29 862.41 757.78 989.54 910.12 743.82 970.85 917.63 741.01 Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P $14.77 14.65 $14.57 14.35 $14.88 14.76 $15.07 14.96 2052,3 206 2061,2 2063 2064 207 208 2082 2086 209 14.97 15.62 15.15 16.98 15.95 12.89 18.09 24.70 16.49 11.94 14.91 15.48 15.48 17.03 15.64 12.84 18.10 25.30 16.02 12.24 15.06 15.47 14.32 16.28 16.04 12.90 18.29 25.03 16.06 12.18 15.25 15.87 15.45 16.93 16.15 12.86 18.02 25.03 15.47 12.15 Tobacco products Cigarettes 21 211 21.66 27.22 21.21 26.69 20.70 27.77 21.05 27.82 $21.25 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, nec Knit outerwear 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 2257 226 2261 2262 227 228 2281 2282 229 11.72 11.79 12.79 12.23 11.22 11.07 9.20 10.79 12.15 11.33 11.85 11.31 13.04 11.62 11.07 10.94 11.21 12.97 11.66 11.73 12.68 11.83 11.16 11.10 9.19 10.75 12.23 11.24 11.84 11.49 12.70 11.45 10.93 10.85 11.02 12.95 11.84 11.73 12.83 12.60 11.19 11.33 9.53 11.10 12.84 11.40 12.01 11.32 13.48 11.67 11.20 10.90 11.74 13.08 11.91 11.90 13.21 12.54 11.59 11.38 9.50 10.93 13.22 11.49 11.90 10.96 13.38 11.51 11.26 11.07 11.52 13.21 11.88 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, nec 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 Fur goods and misc. apparel and accessories Misc. fabricated textile products Curtains and draperies House furnishings, nec Automotive and apparel trimmings 23 231 232 2321 2325 2326 233 2331 2335 2337 2339 234 2341 2342 236 2361 237,8 239 2391 2392 2396 9.91 9.48 9.10 8.91 9.27 9.24 9.07 9.33 10.58 10.12 8.62 9.78 9.51 10.78 8.60 8.21 9.27 11.13 8.58 9.87 14.05 9.72 9.54 8.96 8.67 9.20 9.07 8.87 9.54 10.42 8.84 8.45 9.81 9.64 10.40 8.54 8.29 9.05 10.92 8.46 9.74 13.74 10.11 9.58 9.15 9.18 9.38 9.13 9.43 8.99 10.61 11.16 9.05 9.70 9.44 10.94 9.12 8.69 9.51 11.26 8.50 9.95 14.71 10.08 9.57 9.15 9.07 9.25 9.38 9.35 8.91 10.82 10.91 8.94 9.78 9.39 11.64 8.85 8.15 9.54 11.29 8.31 9.79 14.63 10.05 Paper and allied products Paper mills Paperboard mills 26 262 263 17.50 22.74 22.43 17.19 21.77 22.17 17.83 23.12 22.81 17.71 22.79 22.77 17.77 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 Cane sugar Beet sugar Candy and other confectionery products Fats and oils Beverages Malt beverages Bottled and canned soft drinks Misc. food and kindred products 205 2051 - - - - - - - - - - - - - - - - - - Feb. 2003P - - - - - - - - - - - - - - Industry 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, nec Bags: plastics, laminated, and coated Envelopes Printing and publishing Newspapers Periodicals Books Book publishing Book printing Miscellaneous publishing Commercial printing Commercial printing, lithographic Commercial printing, nec Manifold business forms Blankbooks and bookbinding Printing trade services 1987 SIC Code 265 2653 2656 2657 267 2672 2673 2677 27 271 272 273 2731 2732 274 275 2752 2759 276 278 279 28 Chemicals and allied products 281 Industrial inorganic chemicals 2819 Industrial inorganic chemicals, nec 282 Plastics materials and synthetics 2821 Plastics materials and resins 2824 Organic fibers, noncellulosic 283 Drugs 2834 Pharmaceutical preparations 284 Soap, cleaners, and toilet goods 2841 Soap and other detergents Polishing, sanitation, and finishing preparations .. 2842,3 2844 Toilet preparations 285 Paints and allied products 286 Industrial organic chemicals 2865 Cyclic crudes and intermediates 2861,9 Other industrial organic chemicals 287 Agricultural chemicals 289 Miscellaneous chemical products Average overtime hours Average weekly hours Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 42.3 41.4 42.2 43.3 40.6 43.4 38.3 38.6 41.9 40.9 43.2 43.0 39.8 43.7 36.3 37.9 43.2 42.7 42.2 44.0 41.9 43.5 39.9 40.4 42.6 41.9 41.3 43.4 41.1 42.8 38.1 39.9 Feb. 2003P - - 37.5 33.0 36.1 40.4 39.5 41.3 31.9 39.3 39.0 40.2 36.1 39.6 40.4 37.0 32.2 37.1 38.9 37.6 40.1 32.1 38.5 38.2 39.5 36.8 39.0 40.9 38.3 34.6 36.5 41.9 41.0 42.8 32.2 39.9 39.5 41.4 36.9 39.9 41.3 37.4 32.3 38.0 40.3 38.5 42.0 31.7 39.0 38.5 40.2 36.4 39.6 40.3 37.4 42.2 39.7 42.2 42.3 44.1 39.7 43.1 42.6 40.7 46.7 36.0 40.4 39.7 43.4 39.4 44.1 40.2 45.4 41.9 39.4 42.4 41.6 43.3 38.2 43.1 42.7 40.9 47.1 35.9 40.7 37.8 43.9 38.7 44.8 39.6 43.5 42.6 41.2 43.5 42.5 44.0 40.4 43.7 43.3 40.9 47.5 35.1 41.1 40.5 43.0 40.0 43.5 40.7 45.4 41.7 39.2 42.3 41.6 43.0 39.1 42.4 41.9 40.4 44.7 34.7 41.6 41.0 41.8 40.9 42.0 39.9 45.2 42.3 - - - - Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 4.8 4.2 6.2 5.4 4.6 2.6 7.6 2.9 4.1 3.5 5.8 5.1 4.0 1.9 6.7 3.0 5.3 4.6 8.0 5.8 5.1 2.7 8.1 2.5 4.8 4.3 6.8 5.3 4.9 2.4 7.0 4.9 - 2.8 1.4 5.1 2.6 0.9 4.3 2.1 3.1 2.7 4.4 2.7 3.2 4.8 2.4 1.0 5.1 2.1 0.8 3.4 2.6 2.5 2.1 3.5 2.4 2.3 3.8 3.2 1.9 4.9 2.1 1.0 3.3 1.8 3.6 2.9 5.3 3.4 3.9 7.0 2.7 2.2 1.9 1.6 0.5 2.7 2.8 3.0 2.6 4.2 3.3 3.2 3.8 - 5.4 3.9 5.0 4.9 4.6 5.2 5.7 5.5 3.9 3.9 2.8 4.4 7.6 5.6 4.7 5.7 3.0 8.8 4.6 3.7 4.9 4.1 3.7 4.2 5.7 5.4 3.9 3.8 2.7 4.6 5.4 5.1 3.8 5.3 2.6 5.1 5.9 4.4 5.5 5.2 4.7 6.2 6.7 6.5 4.3 5.7 2.2 4.9 7.1 6.0 5.1 6.1 3.3 9.1 5.5 3.6 4.5 4.8 4.1 5.7 5.5 5.4 4.2 3.5 3.3 5.1 7.9 6.8 13.0 5.8 3.8 8.9 5.0 5.7 3.7 5.3 6.0 3.2 4.8 5.9 3.1 5.0 6.0 3.3 3.7 5.7 1.7 3.4 2.3 3.9 3.5 3.3 5.7 3.8 3.2 1.6 3.3 3.1 3.7 4.2 2.2 3.3 2.1 4.5 3.6 3.3 4.3 2.8 2.9 2.6 3.4 3.3 1.1 4.2 0.7 0.9 0.6 0.1 0.6 1.3 4.0 0.6 0.7 0.2 0.2 3.4 1.0 4.0 0.9 0.9 0.6 0.0 0.1 0.9 4.0 0.6 0.6 0.5 0.0 0.1 - - - - - - _ Petroleum and coal products Petroleum refining Asphalt paving and roofing materials 29 291 295 41.5 40.3 41.6 41.8 41.2 39.6 41.4 41.4 38.7 42.1 40.8 43.5 43.5 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, nec Miscellaneous plastics products, nec 30 301 302 305 3052 306 308 41.0 44.8 41.7 40.3 40.0 41.1 40.7 40.5 45.7 43.8 39.9 38.8 41.5 39.9 41.5 43.1 38.9 41.8 41.5 42.3 41.2 40.3 43.4 41.7 40.5 41.5 40.3 40.0 40.2 31 Leather and leather products 311 Leather tanning and finishing Footwear cut stock and footwear, except rubber.... 313,4 3143 Men's footwear, except athletic 3144 Women's footwear, except athletic 316 Luggage 317 Handbags and personal leather goods 36.7 41.4 39.9 38.2 45.3 28.6 31.2 36.7 41.4 40.2 38.8 46.0 27.9 30.7 37.1 40.2 40.9 38.1 48.3 27.6 31.6 36.6 40.0 40.4 37.0 49.8 26.9 31.8 36.5 32.7 32.2 33.1 32.3 32.9 - - - - - 38.3 37.6 38.8 37.8 38.2 - - - - - Service-producing Transportation and public utilities - - - - - - - - - - - - Industry 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, nec Bags: plastics, laminated, and coated Envelopes Printing and publishing Newspapers Periodicals Books Book publishing Book printing Miscellaneous publishing Commercial printing Commercial printing, lithographic Commercial printing, nec Manifold business forms Blankbooks and bookbinding Printing trade services 1987 SIC Code Average hourly earnings Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 265 2653 2656 2657 267 2672 2673 2677 $15.08 14.96 15.16 16.37 15.05 18.99 13.49 13.65 $14.84 14.71 14.89 15.93 14.90 18.63 13.66 13.45 $15.55 15.39 15.57 17.02 15.28 19.40 13.67 13.67 $15.45 15.38 15.42 16.67 15.15 19.14 13.63 13.05 27 271 272 273 2731 2732 274 275 2752 2759 276 278 279 15.18 14.63 16.48 16.01 14.86 17.08 14.47 15.45 15.46 15.18 15.49 11.55 17.73 15.01 14.62 16.09 15.62 14.57 16.52 14.50 15.23 15.37 14.77 15.07 11.53 17.48 15.45 14.64 17.00 16.24 15.15 17.27 14.86 15.77 15.66 15.74 15.57 11.79 17.85 15.34 14.42 16.55 16.29 15.07 17.33 14.69 15.63 15.62 15.38 15.84 11.69 17.85 Average weekly earnings Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P - $637.88 619.34 639.75 708.82 611.03 824.17 516.67 526.89 $621.80 601.64 643.25 684.99 593.02 814.13 495.86 509.76 $671.76 657.15 657.05 748.88 640.23 843.90 545.43 552.27 $658.17 644.42 636.85 723.48 622.67 819.19 519.30 520.70 569.25 482.79 594.93 646.80 586.97 705.40 461.59 607.19 602.94 610.24 559.19 457.38 716.29 555.37 470.76 596.94 607.62 547.83 662.45 465.45 586.36 587.13 583.42 554.58 449.67 714.93 591.74 506.54 620.50 680.46 621.15 739.16 478.49 629.22 618.57 651.64 574.53 470.42 737.21 573.72 465.77 628.90 656.49 580.20 727.86 465.67 609.57 601.37 618.28 576.58 462.92 719.36 $578.20 808.97 799.96 912.79 854.04 1,004.60 661.40 821.49 798.32 693.12 983.04 497.88 661.75 693.16 970.42 949.15 974.61 837.37 768.62 790.65 793.12 923.47 821.60 958.23 626.10 800.80 778.42 685.48 988.16 490.04 646.32 633.15 961.85 970.98 961.41 814.18 740.37 828.14 851.19 962.22 872.53 1,016.84 696.50 854.77 834.82 699.80 1,001.78 482.98 683.08 709.16 972.66 966.80 973.53 864.06 761.81 811.07 811.83 940.33 852.80 983.41 678.78 824.26 802.39 691.65 922.16 490.31 696.38 735.54 950.53 993.46 944.58 856.65 768.40 824.85 927.11 1,026.04 730.08 923.78 1,020.94 686.27 941.85 1,064.39 681.89 950.62 1,043.26 754.73 1,007.90 562.93 913.92 344.44 571.45 567.60 557.73 529.10 555.26 924.05 352.15 563.39 539.32 556.52 517.50 579.76 893.03 346.21 583.95 583.91 588.82 547.14 564.60 906.19 372.38 575.51 598.43 556.54 531.20 564.41 378.01 529.92 397.80 393.08 404.08 271.70 309.82 378.38 529.09 392.75 390.72 391.46 261.42 345.38 389.92 508.93 429.04 418.34 444.36 268.82 300.83 381.01 512.40 421.37 401.08 461.15 262.54 292.88 378.87 - - $15.46 - - - Feb. 2003P - - - - - Chemicals and allied products 28 Industrial inorganic chemicals 281 Industrial inorganic chemicals, nec 2819 Plastics materials and synthetics 282 Plastics materials and resins 2821 Organic fibers, noncellulosic 2824 Drugs 283 Pharmaceutical preparations 2834 Soap, cleaners, and toilet goods 284 Soap and other detergents 2841 Polishing, sanitation, and finishing preparations .. 2842,3 Toilet preparations 2844 Paints and allied products 285 Industrial organic chemicals 286 Cyclic crudes and intermediates 2865 Other industrial organic chemicals 2861,9 287 Agricultural chemicals Miscellaneous chemical products 289 19.17 20.15 21.63 20.19 22.78 16.66 19.06 18.74 17.03 21.05 13.83 16.38 17.46 22.36 24.09 22.10 20.83 16.93 18.87 20.13 21.78 19.75 22.13 16.39 18.58 18.23 16.76 20.98 13.65 15.88 16.75 21.91 25.09 21.46 20.56 17.02 19.44 20.66 22.12 20.53 23.11 17.24 19.56 19.28 17.11 21.09 13.76 16.62 17.51 22.62 24.17 22.38 21.23 16.78 19.45 20.71 22.23 20.50 22.87 17.36 19.44 19.15 17.12 20.63 14.13 16.74 17.94 22.74 24.29 22.49 21.47 17.00 19.50 Petroleum and coal products Petroleum refining Asphalt paving and roofing materials 29 291 295 22.34 25.46 17.55 22.10 24.78 17.33 22.75 25.71 17.62 22.58 25.57 17.35 23.17 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, nec Miscellaneous plastics products, nec 30 301 302 305 3052 306 308 13.73 20.40 8.26 14.18 14.19 13.57 13.00 13.71 20.22 8.04 14.12 13.90 13.41 12.97 13.97 20.72 8.90 13.97 14.07 13.92 13.28 14.01 20.88 8.93 14.21 14.42 13.81 13.28 14.04 Leather and leather products 31 Leather tanning and finishing 311 Footwear cut stock and footwear, except rubber.... 313,4 Men's footwear, except athletic 3143 3144 Women's footwear, except athletic 316 Luggage 317 Handbags and personal leather goods 10.30 12.80 9.97 10.29 8.92 9.50 9.93 10.31 12.78 9.77 10.07 8.51 9.37 11.25 10.51 12.66 10.49 10.98 9.20 9.74 9.52 10.41 12.81 10.43 10.84 9.26 9.76 9.21 10.38 14.31 14.21 14.60 14.64 14.79 467.94 457.56 483.26 472.87 486.59 17.29 17.13 17.48 17.48 17.69 662.21 644.09 678.22 660.74 675.76 Service-producing Transportation and public utilities - - - - - - - - - - - - - - - - - - - Industry 1987 SIC Code Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 41 411 33.6 36.9 32.2 37.0 33.9 37.5 32.7 36.6 Trucking and warehousing Trucking and courier services, except air Public warehousing and storage 42 421 422 40.0 40.0 39.6 38.6 38.6 38.8 40.2 40.1 40.6 38.8 38.7 39.7 Water transportation: Water transportation services 449 35.1 34.5 35.2 35.3 Pipelines, except natural gas 46 45.1 44.0 44.4 42.7 Transportation services Passenger transportation arrangement Travel agencies Freight transportation arrangement 47 472 4724 473 35.7 35.3 35.8 34.8 35.6 35.7 36.2 34.0 36.3 35.6 35.9 35.7 35.3 35.4 35.3 34.1 Communications Telephone communications Telephone communications, except radio Radio and television broadcasting Cable and other pay television services 48 481 4813 483 484 39.8 39.8 39.8 35.1 45.6 39.8 39.8 39.7 34.3 46.0 40.1 40.0 39.8 36.3 45.7 39.6 39.6 39.7 35.2 45.3 Electric, gas, and sanitary services Electric services Gas production and distribution Combination utility services Sanitary services 49 491 492 493 495 42.3 42.2 40.9 42.3 44.0 41.8 42.4 40.6 42.1 42.0 42.4 41.6 42.0 42.7 44.6 42.2 41.2 41.9 42.1 45.1 38.4 37.8 38.9 38.0 Transportation and public utilities—Continued Local and interurban passenger transit Local and suburban transportation 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 505 506 507 508 509 38.8 35.0 37.6 38.9 40.4 41.2 40.7 37.1 41.5 39.4 38.1 38.1 34.5 37.8 38.5 39.3 39.8 40.3 36.9 40.1 38.7 37.6 39.4 35.1 39.1 39.1 41.7 43.3 41.9 37.4 42.4 39.6 39.0 38.4 35.0 37.7 38.4 39.6 41.5 40.0 36.8 41.4 38.9 38.0 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 51 511 512 513 514 515 516 517 518 519 37.9 33.9 37.1 39.7 39.8 31.6 42.6 37.6 38.8 35.9 37.4 34.3 37.6 39.0 39.1 30.1 40.7 37.8 38.3 35.4 38.3 34.8 37.5 41.4 40.1 30.3 42.9 38.0 39.2 35.8 37.4 34.2 35.8 40.9 39.0 30.1 42.2 37.5 38.5 35.3 29.0 28.1 29.5 28.4 36.6 38.3 36.5 29.9 35.8 34.9 36.4 36.3 29.4 33.0 36.9 38.7 36.0 30.0 35.8 36.1 37.8 36.1 28.8 35.7 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 Average overtime hours Average weekly hours Feb. 2003P - Avg. 2002 Jan. 2002 - - Dec. 2002 — — Jan. 2003P — — Feb. 2003P — - — - - - - - - - - - — - - — - - - - — — - - - - - - - - - - - - - - - — - — - — — — — — — - - - - - - - - - - - - - - - - - - - — - - - — - — - - - - - - - - - - - - - - - - - - - - - - - — - - - — — - - - - - - - - - - - - - - - - - - - - - - - - - - - — - - - - - - - - - - - - - - — — — - - - - - - - - - - - - — — - — - - 38.7 - - - - - - - - - - - - - — - — — - - - - — — - - - - — — - - - - - - - - - - - - - - - - - — — — — - - - — - — 28.9 - - - - - - - - - - - - - - - - — - - - - - - - - - - - - — Industry 1987 SIC Code Average weekly earnings Average hourly earnings Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P - $430.08 509.59 $408.62 502.09 $437.65 526.88 $416.27 505.08 - 572.40 576.40 529.85 546.96 551.59 506.73 578.08 579.04 557.44 559.11 558.05 556.59 - 821.69 824.21 855.71 843.67 - 1,090.52 1,041.48 1,134.42 1,056.83 - - Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 41 411 $12.80 13.81 $12.69 13.57 $12.91 14.05 $12.73 13.80 Trucking and warehousing Trucking and courier services, except air Public warehousing and storage 42 421 422 14.31 14.41 13.38 14.17 14.29 13.06 14.38 14.44 13.73 14.41 14.42 14.02 - Water transportation: Water transportation services 449 23.41 23.89 24.31 23.90 Transportation and public utilities—Continued Local and interurban passenger transit Local and suburban transportation Pipelines, except natural gas 46 24.18 23.67 25.55 24.75 Transportation services Passenger transportation arrangement Travel agencies Freight transportation arrangement 47 472 4724 473 16.08 15.91 16.54 17.22 15.85 15.73 16.27 17.09 16.17 16.08 16.79 17.19 15.99 15.68 16.32 17.18 Communications Telephone communications Telephone communications, except radio Radio and television broadcasting Cable and other pay television services 48 481 4813 483 484 19.39 19.91 20.83 19.78 17.07 18.98 19.33 20.19 19.58 17.00 19.67 20.15 21.28 20.33 17.26 19.71 20.02 20.94 20.39 17.86 Electric, gas, and sanitary services Electric services Gas production and distribution Combination utility services Sanitary services 49 491 492 493 495 22.82 23.90 21.71 27.18 19.10 22.49 23.12 21.73 26.46 19.34 23.11 24.38 21.88 27.18 19.44 22.73 23.89 21.82 26.74 19.16 16.21 16.11 16.48 16.40 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 505 506 507 508 509 17.04 15.05 15.34 15.73 21.48 19.62 16.27 16.77 15.57 16.52 13.29 16.98 14.86 15.68 15.56 21.52 19.94 15.95 16.70 15.41 16.36 13.42 17.34 15.44 15.30 16.07 21.84 19.94 16.49 16.86 16.24 16.68 13.58 17.22 15.33 15.40 15.92 21.96 19.75 16.14 16.76 16.09 16.48 13.37 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 51 511 512 513 514 515 516 517 518 519 15.07 14.48 21.02 13.49 15.11 11.70 16.54 14.18 16.88 12.02 14.91 14.31 20.22 13.94 14.96 11.62 16.87 14.07 16.32 11.94 15.31 14.90 20.90 13.43 15.29 12.21 16.82 14.71 16.92 12.37 15.27 14.88 20.69 13.43 15.42 12.01 16.73 14.51 16.70 12.30 10.04 9.96 10.18 10.23 12.18 12.80 12.15 9.76 10.41 12.20 12.87 11.87 9.60 10.57 12.41 13.08 12.37 9.87 10.24 12.44 13.02 12.64 9.87 10.57 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 - - - _ - - - $16.54 - - _ - - 10.26 - 574.06 561.62 592.13 599.26 564.26 561.56 588.97 581.06 586.97 572.45 602.76 613.68 564.45 555.07 576.10 585.84 771.72 792.42 829.03 694.28 778.39 755.40 769.33 801.54 671.59 782.00 788.77 806.00 846.94 737.98 788.78 780.52 792.79 831.32 717.73 809.06 965.29 1,008.58 887.94 1,149.71 840.40 940.08 980.29 882.24 1,113.97 812.28 979.86 1,014.21 918.96 1,160.59 867.02 959.21 984.27 914.26 1,125.75 864.12 622.46 608.96 641.07 623.20 661.15 526.75 576.78 611.90 867.79 808.34 662.19 622.17 646.16 650.89 506.35 646.94 512.67 592.70 599.06 845.74 793.61 642.79 616.23 617.94 633.13 504.59 683.20 541.94 598.23 628.34 910.73 863.40 690.93 630.56 688.58 660.53 529.62 661.25 536.55 580.58 611.33 869.62 819.63 645.60 616.77 666.13 641.07 508.06 571.15 490.87 779.84 535.55 601.38 369.72 704.60 533.17 654.94 431.52 557.63 490.83 760.27 543.66 584.94 349.76 686.61 531.85 625.06 422.68 586.37 518.52 783.75 556.00 613.13 369.96 721.58 558.98 663.26 442.85 571.10 508.90 740.70 549.29 601.38 361.50 706.01 544.13 642.95 434.19 291.16 279.88 300.31 290.53 445.79 490.24 443.48 291.82 372.68 425.78 468.47 430.88 282.24 348.81 457.93 506.20 445.32 296.10 366.59 449.08 492.16 456.30 284.26 377.35 Feb. 2003P - - - — - — - - - $640.10 - - — - - - — 296.51 - - 1987 SIC Code Industry Retail trade—Continued General merchandise stores Department stores Variety stores Misc. general merchandise stores Food stores Grocery stores Retail bakeries Jan. 2003P 53 531 533 539 29.5 29.4 29.6 30.3 27.7 27.6 27.3 29.2 31.1 31.0 31.3 31.6 28.4 28.2 30.0 29.6 54 541 546 30.0 30.0 30.7 29.6 29.7 29.6 29.6 29.6 30.3 29.3 29.3 28.6 _ _ _ _ - - - - - - - - - - - - _ - - - - 35.8 36.6 37.2 34.3 35.3 35.5 36.1 36.6 34.8 35.7 35.9 37.0 36.9 34.1 35.8 35.4 36.8 35.7 33.6 35.1 Apparel and accessory stores Men's and boys' clothing stores Women's clothing stores Family clothing stores Shoe stores 56 561 562 565 566 25.7 28.2 25.3 26.9 23.3 23.9 27.0 23.4 24.4 21.9 25.9 27.3 24.4 28.0 23.2 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 32.6 33.1 31.4 32.2 31.8 25.1 31.6 32.3 31.7 30.8 31.2 24.1 58 25.4 59 591 593 594 596 598 599 5995 5999 Eating and drinking places Miscellaneous retail establishments Drug stores and proprietary stores Used merchandise stores Miscellaneous shopping goods stores Nonstore retailers Fuel dealers Retail stores, nec Optical goods stores Miscellaneous retail stores, nec Finance, insurance, and real estate 3 - - - - - - - - - - - - - - — - _ - _ - - - - - - - - - - - - - - - - - - - - - 24.6 26.9 23.1 26.5 22.0 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 33.5 33.5 33.5 33.4 34.2 27.5 32.3 32.7 31.1 31.9 31.9 24.2 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 24.3 25.6 24.6 - - - - - - 29.8 28.4 28.8 28.0 34.5 37.2 31.0 32.6 32.2 29.3 28.1 29.5 27.4 34.6 38.1 30.0 32.1 31.2 30.9 28.6 28.2 29.6 36.1 39.6 32.4 33.4 33.9 29.3 28.4 27.2 27.5 33.8 39.0 29.7 32.6 31.7 - - - - - - - - - - - - 36.1 35.8 36.7 36.0 35.2 35.0 34.7 35.2 35.8 36.1 36.1 35.7 36.3 36.6 35.2 34.9 34.6 35.1 35.9 Nondepository institutions Personal credit institutions 61 614 35.4 36.9 35.2 36.3 36.4 37.3 34.1 34.6 Security and commodity brokers: Security and commodity sen/ices 628 36.5 36.3 37.5 36.0 Insurance carriers Life insurance Medical service and health insurance Hospital and medical service plans Fire, marine, and casualty insurance 63 631 632 6324 633 38.5 39.1 38.5 40.0 37.7 38.0 38.8 37.9 39.0 37.0 39.0 39.5 38.8 40.4 37.9 38.7 38.9 38.2 39.7 38.1 32.6 32.2 32.8 32.3 34.0 32.5 32.2 32.0 - - 35.5 35.3 35.0 35.5 35.8 07 - - 60 602 6022 6021,9 606 Services - - Depository institutions Commercial banks State commercial banks National and commercial banks, nec Credit unions Agricultural services Feb. 2003P Dec. 2002 55 551 553 554 559 Dec. 2002 Jan. 2003P Jan. 2002 Feb. 2003P Avg. 2002 Jan. 2002 Avg. 2002 Automotive dealers and sen/ice stations New and used car dealers Auto and home supply stores Gasoline service stations Automotive dealers, nec 2 Average overtime hours Average weekly hours - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 36.9 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - — — - - _ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 32.8 - 1987 SIC Code Industry Average hourly earnings Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 53 531 533 539 $10.26 10.46 7.84 9.53 $10.03 10.20 7.81 9.47 $10.37 10.58 7.83 9.52 $10.47 10.69 7.85 9.71 Food stores Grocery stores Retail bakeries 54 541 546 10.20 10.23 9.90 10.13 10.18 9.69 10.37 10.40 10.03 10.45 10.47 10.20 Automotive dealers and service stations New and used car dealers Auto and home supply stores Gasoline service stations Automotive dealers, nec 55 551 553 554 559 13.17 17.43 11.91 5.96 14.52 12.88 16.93 11.96 5.94 14.01 13.26 17.48 11.99 6.02 14.75 13.03 16.99 11.88 6.00 14.53 Apparel and accessory stores Men's and boys' clothing stores Women's clothing stores Family clothing stores Shoe stores 56 561 562 565 566 9.83 9.81 10.10 9.67 9.61 9.91 10.16 10.33 9.77 9.44 9.77 9.60 9.96 9.59 9.69 10.01 9.83 10.34 9.87 9.60 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 13.43 12.49 13.70 14.57 13.21 8.55 13.19 12.35 13.17 14.23 13.09 8.26 13.41 12.65 14.76 14.12 13.12 8.24 13.54 12.74 14.25 14.41 12.87 8.70 Eating and drinking places2 58 7.30 7.25 7.45 7.43 Retail trade—Continued General merchandise stores Department stores Variety stores Misc. general merchandise stores Miscellaneous retail establishments Drug stores and proprietary stores Used merchandise stores Miscellaneous shopping goods stores Nonstore retailers Fuel dealers Retail stores, nec Optical goods stores Miscellaneous retail stores, nec Finance, insurance, and real estate 59 591 593 594 596 598 599 5995 5999 3 11.03 12.10 8.68 10.13 11.66 14.33 11.05 12.58 11.50 10.94 11.98 8.90 9.95 11.63 14.87 10.84 12.62 11.20 11.06 12.24 8.67 10.17 11.30 15.02 11.17 12.77 11.51 11.28 12.22 8.78 10.43 11.82 15.07 11.23 12.63 11.64 16.35 16.07 16.82 16.77 Average weekly earnings Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P - $302.67 307.52 232.06 288.76 $277.83 281.52 213.21 276.52 $322.51 327.98 245.08 300.83 $297.35 301.46 235.50 287.42 306.00 306.90 303.93 299.85 302.35 286.82 306.95 307.84 303.91 306.19 306.77 291.72 471.49 637.94 443.05 204.43 512.56 457.24 611.17 437.74 206.71 500.16 476.03 646.76 442.43 205.28 528.05 461.26 625.23 424.12 201.60 510.00 252.63 276.64 255.53 260.12 223.91 236.85 274.32 241.72 238.39 206.74 253.04 262.08 243.02 268.52 224.81 246.25 264.43 238.85 261.56 211.20 - 437.82 413.42 430.18 469.15 420.08 214.61 416.80 398.91 417.49 438.28 408.41 199.07 449.24 423.78 494.46 471.61 448.70 226.60 437.34 416.60 443.18 459.68 410.55 210.54 - 185.42 176.18 190.72 182.78 - _ - _ - _ - - _ - - _ - _ - - _ - _ - _ - - - _ 330.50 347.05 238.82 286.83 399.52 587.73 333.53 411.74 368.99 $16.93 590.24 575.31 617.29 603.72 $624.72 448.72 425.72 416.50 432.04 443.92 439.30 416.50 412.24 419.23 436.40 466.41 446.20 430.19 456.65 460.79 453.38 430.67 422.81 436.29 451.62 _ - 661.63 521.40 630.78 495.86 732.00 536.75 689.16 512.43 - 881.84 861.04 920.63 882.72 730.35 689.72 672.98 711.60 782.28 710.22 672.02 660.60 694.20 754.06 753.09 721.27 679.39 716.29 797.80 743.04 709.15 676.52 715.79 788.29 496.82 487.51 514.30 504.85 401.54 385.13 390.59 385.28 - 12.48 11.90 11.88 11.91 12.19 12.92 12.36 12.05 12.58 12.59 12.88 12.34 12.22 12.43 12.58 _ Nondepository institutions Personal credit institutions 61 614 18.69 14.13 17.92 13.66 20.11 14.39 20.21 14.81 _ Security and commodity brokers: Security and commodity services 628 24.16 23.72 24.55 24.52 Insurance carriers Life insurance Medical service and health insurance Hospital and medical service plans Fire, marine, and casualty insurance 63 631 632 6324 633 18.97 17.64 17.48 17.79 20.75 18.69 17.32 17.43 17.80 20.38 19.31 18.26 17.51 17.73 21.05 19.20 18.23 17.71 18.03 20.69 15.24 15.14 15.68 15.63 11.81 11.85 12.13 12.04 - 341.75 350.06 244.49 301.03 407.93 594.79 361.91 426.52 390.19 12.64 12.06 11.90 12.17 12.40 07 - 320.54 336.64 262.55 272.63 402.40 566.55 325.20 405.10 349.44 60 602 6022 6021,9 606 Agricultural services - 328.69 343.64 249.98 283.64 402.27 533.08 342.55 410.11 370.30 - Depository institutions Commercial banks State commercial banks National and commercial banks, nec Credit unions Services Feb. 2003P - - _ - 15.81 - - - - - - - _ - - _ - 518.57 - Industry 1987 SIC Code Average overtime hours Average weekly hours Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P - - Feb. 2003P Avg. 2002 - - — — 29.1 - — 33.7 28.6 25.0 32.7 27.6 25.8 - - - - - - - - — - - - — 33.2 34.3 34.0 34.7 33.4 34.3 - - - - - - - - - - - - 35.5 28.8 36.8 28.2 37.8 36.5 41.1 37.1 35.3 28.2 36.2 27.5 37.2 36.9 40.3 36.2 35.8 29.2 36.9 28.6 38.0 37.5 41.3 37.1 35.5 28.2 35.3 27.7 37.5 37.6 40.4 36.6 - - - - — - - - - - — — - - - - - - - - - - - - - - - - - - - - - - - - 7363 737 7371 7373 7375 7378 738 7381 7382 32.3 38.4 38.5 38.7 37.3 37.6 32.6 34.3 37.2 31.4 38.2 37.8 38.9 37.8 37.7 32.4 34.5 36.0 32.2 38.9 39.1 38.4 36.9 37.6 33.2 34.7 37.4 32.0 37.9 38.0 37.2 38.3 37.0 32.5 34.4 37.9 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 35.1 34.5 33.7 33.0 37.1 38.0 36.1 30.7 27.0 34.6 34.0 33.1 32.7 36.6 37.8 35.5 30.4 27.4 35.0 34.9 34.1 33.3 37.1 37.9 36.1 30.1 25.4 34.8 34.4 33.6 32.9 37.1 38.0 36.0 29.7 26.5 Miscellaneous repair sen/ices 76 37.5 36.9 37.7 37.2 Motion pictures Motion picture production and services Video tape rental 78 781 784 30.2 37.9 24.1 29.6 38.6 22.8 31.0 39.3 25.4 Amusement and recreation services Bowling centers Misc. amusement and recreation services Physical fitness facilities Membership sports and recreation clubs 79 793 799 7991 7997 25.6 25.3 25.4 16.5 28.0 25.3 25.1 24.7 17.0 26.4 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 33.3 33.2 27.4 30.0 32.6 31.9 35.2 33.1 33.1 27.6 29.9 32.5 31.6 34.8 Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 074 078 28.6 36.5 28.2 35.1 28.2 34.3 28.2 34.4 Hotels and other lodging places: Hotels and motels2 701 30.2 28.6 29.6 Personal services: Laundry, cleaning, and garment services Beauty shops2 Miscellaneous personal services 721 723 729 33.6 27.8 27.5 33.2 26.9 27.4 Business services Advertising Mailing, reproduction, and stenographic services: Photocopying and duplicating services Services to buildings Disinfecting and pest control services Building maintenance services, nec Miscellaneous equipment rental and leasing Medical equipment rental Heavy construction equipment rental Equipment rental and leasing, nec Personnel supply services: Help supply services Computer and data processing services Computer programming sen/ices Computer integrated systems design Information retrieval services Computer maintenance and repair Miscellaneous business services Detective and armored car services Security systems services 73 731 33.7 34.4 7334 734 7342 7349 735 7352 7353 7359 Services—Continued Agricultural services—Continued Veterinary services Landscape and horticultural services - - — — — _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - — — - - - - — — - - - - - - - - - - - - - - - - - - - - - - — - - — — - - - — _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - — - - - - — - - - - - - - 30.4 38.7 24.1 - - - - - - - - - - - - - — 25.8 25.5 25.0 16.5 29.4 25.6 24.9 24.8 16.7 27.0 - - - - - - - - - - - - - - - - - - - - - - - - — — 33.4 33.3 28.1 30.1 33.1 32.4 35.2 33.1 32.9 27.4 29.7 32.6 32.0 35.0 - — — — — - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - — Industry 1987 SIC Code Average hourly earnings Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 074 078 $12.05 11.81 $11.84 11.95 $12.46 12.08 $12.33 11.97 Hotels and other lodging places: Hotels and motels2 701 10.23 10.25 10.61 10.39 Personal services: Laundry, cleaning, and garment services Beauty shops2 Miscellaneous personal sen/ices 721 723 729 9.83 10.95 12.08 9.64 10.75 12.82 9.96 11.25 11.29 9.81 10.87 11.85 73 731 15.51 19.97 15.58 20.06 15.80 20.24 15.77 19.87 7334 734 7342 7349 735 7352 7353 7359 13.48 9.40 13.32 8.97 15.05 14.28 20.49 13.34 13.44 9.21 12.38 8.86 14.97 14.32 19.74 13.35 13.09 9.55 13.81 9.11 15.40 14.58 21.11 13.60 12.91 9.43 13.46 9.04 15.39 14.77 20.91 13.68 7363 737 7371 7373 7375 7378 738 7381 7382 11.98 25.31 28.94 24.69 17.36 17.66 11.61 9.84 15.93 12.23 24.91 28.19 24.21 17.48 16.59 11.54 9.73 15.72 12.12 26.04 29.45 26.11 17.78 17.87 11.76 9.98 16.24 12.18 25.57 29.40 26.13 17.48 18.01 11.88 9.98 15.81 Services—Continued Agricultural services—Continued Veterinary services Landscape and horticultural services Business services Advertising Mailing, reproduction, and stenographic services: Photocopying and duplicating services Services to buildings Disinfecting and pest control services Building maintenance services, nec Miscellaneous equipment rental and leasing Medical equipment rental Heavy construction equipment rental Equipment rental and leasing, nec 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 Average weekly earnings Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P - $344.63 431.07 $333.89 419.45 $351.37 414.34 $347.71 411.77 - 308.95 293.15 314.06 302.35 330.29 304.41 332.20 320.05 289.18 351.27 335.65 321.75 282.25 320.79 300.01 305.73 522.69 686.97 517.26 688.06 537.20 702.33 526.72 681.54 478.54 270.72 490.18 252.95 568.89 521.22 842.14 494.91 474.43 259.72 448.16 243.65 556.88 528.41 795.52 483.27 468.62 278.86 509.59 260.55 585.20 546.75 871.84 504.56 458.31 265.93 475.14 250.41 577.13 555.35 844.76 500.69 386.95 971.90 1,114.19 955.50 647.53 664.02 378.49 337.51 592.60 384.02 951.56 1,065.58 941.77 660.74 625.44 373.90 335.69 565.92 390.26 1,012.96 1,151.50 1,002.62 656.08 671.91 390.43 346.31 607.38 389.76 969.10 1,117.20 972.04 669.48 666.37 386.10 343.31 599.20 - 448.93 412.97 365.98 321.09 530.16 576.84 500.35 301.17 219.24 436.65 405.62 360.79 315.56 517.52 570.40 484.58 290.02 221.67 459.20 429.27 379.53 337.66 539.06 582.90 508.29 310.33 212.85 451.01 420.37 371.28 327.03 533.87 577.22 505.08 296.41 221.01 - 575.63 557.56 589.63 578.46 - 454.51 790.22 199.79 447.55 802.49 184.00 477.71 830.02 218.19 470.29 828.57 207.26 - 283.14 223.15 258.32 176.55 304.92 285.13 215.86 253.92 177.14 295.68 304.70 229.50 272.50 183.81 342.80 295.94 226.34 266.10 185.04 312.39 540.46 557.43 471.28 423.00 381.42 355.05 649.09 524.97 540.19 464.78 416.51 376.35 347.92 624.66 556.78 581.75 495.97 433.44 392.57 365.80 668.45 554.09 575.09 482.51 419.66 388.59 360.64 669.90 Feb. 2003P - - - _ - - - - - - - _ 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 12.79 11.97 10.86 9.73 14.29 15.18 13.86 9.81 8.12 12.62 11.93 10.90 9.65 14.14 15.09 13.65 9.54 8.09 13.12 12.30 11.13 10.14 14.53 15.38 14.08 10.31 8.38 12.96 12.22 11.05 9.94 14.39 15.19 14.03 9.98 8.34 Miscellaneous repair services 76 15.35 15.11 15.64 15.55 - Motion pictures Motion picture production and services Video tape rental 78 781 784 15.05 20.85 8.29 15.12 20.79 8.07 15.41 21.12 8.59 15.47 21.41 8.60 - Amusement and recreation services Bowling centers Misc. amusement and recreation services Physical fitness facilities Membership sports and recreation clubs 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 79 793 799 7991 7997 80 801 802 804 805 8052 806 11.06 8.82 10.17 10.70 10.89 16.23 16.79 17.20 14.10 11.70 11.13 18.44 11.27 8.60 10.28 10.42 11.20 15.86 16.32 16.84 13.93 11.58 11.01 17.95 11.81 9.00 10.90 11.14 11.66 16.67 17.47 17.65 14.40 11.86 11.29 18.99 11.56 9.09 10.73 11.08 11.57 16.74 17.48 17.61 14.13 11.92 11.27 19.14 - - - - _ - _ - _ - Feb. 2003P - - - - - _ - - - - - - - _ - _ - - Industry Services—Continued Health services—Continued Home health care services Legal services 1987 SIC Code Average weekly hours Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 808 30.0 29.9 29.9 29.9 81 35.0 34.7 35.9 34.7 Average overtime hours Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P - - - - - - - - - - - - _ _ _ _ _ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Social services Individual and family services Job training and related services Child day care services Residential care Social services, nec 83 832 833 835 836 839 31.2 31.0 30.3 30.1 32.6 32.2 31.0 31.0 30.1 29.3 32.6 32.1 31.4 31.3 30.5 29.9 32.9 32.6 31.0 30.6 30.3 29.5 32.6 32.1 Membership organizations: Professional organizations 862 35.2 35.1 35.6 34.9 Engineering and management services Engineering and architectural services Engineering services Architectural sen/ices Surveying sen/ices 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 36.8 38.7 39.0 37.6 36.9 36.0 35.6 38.2 27.9 36.3 36.2 36.2 35.9 33.1 36.5 38.0 38.3 37.3 35.9 35.7 35.5 38.5 27.3 36.4 36.0 35.9 35.9 34.0 36.9 38.9 39.2 38.2 37.1 36.2 35.5 37.9 28.4 36.3 36.3 35.7 36.0 33.0 36.3 38.3 38.6 37.7 36.5 35.4 34.8 37.5 26.9 35.6 35.9 35.5 35.9 32.9 - - Services, nec 89 35.3 34.2 36.1 35.3 - See footnotes at end of table. - _ _ _ _ _ _ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Industry 1987 SIC Code Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 808 $12.97 $12.87 $13.08 Legal services 81 21.56 21.23 Social services Individual and family services Job training and related services Child day care services Residential care Social services, nec 83 832 833 835 836 839 10.76 11.22 10.42 9.34 10.88 13.41 Membership organizations: Professional organizations 862 20.84 Services—Conti nued Health services—Continued Home health care services Feb. 2003P Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P $13.07 - $389.10 $384.81 $391.09 $390.79 - 22.06 21.76 - 754.60 736.68 791.95 755.07 - 10.64 11.17 10.29 9.27 10.72 13.11 11.03 11.43 10.66 9.64 11.12 13.77 11.00 11.42 10.63 9.63 11.10 13.68 - 335.71 347.82 315.73 281.13 354.69 431.80 329.84 346.27 309.73 271.61 349.47 420.83 346.34 357.76 325.13 288.24 365.85 448.90 341.00 349.45 322.09 284.09 361.86 439.13 20.39 21.38 21.25 - 733.57 715.69 761.13 741.63 - 758.08 865.33 902.46 785.84 598.89 641.88 755.08 924.06 429.66 875.92 728.34 646.53 811.34 635.52 744.24 840.94 877.45 770.62 570.81 634.03 744.44 911.30 432.71 865.23 716.04 639.74 794.83 652.46 779.70 888.09 925.90 816.33 619.20 661.74 780.65 945.23 445.31 920.57 750.32 646.88 840.96 639.21 761.21 869.79 908.64 792.45 604.08 626.93 773.95 934.13 438.74 916.70 737.39 639.00 831.09 620.17 - - 711.65 664.85 763.15 746.95 - 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 20.60 22.36 23.14 20.90 16.23 17.83 21.21 24.19 15.40 24.13 20.12 17.86 22.60 19.20 20.39 22.13 22.91 20.66 15.90 17.76 20.97 23.67 15.85 23.77 19.89 17.82 22.14 19.19 21.13 22.83 23.62 21.37 16.69 18.28 21.99 24.94 15.68 25.36 20.67 18.12 23.36 19.37 20.97 22.71 23.54 21.02 16.55 17.71 22.24 24.91 16.31 25.75 20.54 18.00 23.15 18.85 Services, nec 89 20.16 19.44 21.14 21.16 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 Money payments only tips; not included. 3 Excludes nonoffice commissioned real estate sales agents. ~ Data not available. Average weekly earnings Average hourly earnings _ - - _ - - - Feb. 2003P _ - - - - - - - - P = preliminary. NOTE: Establishment survey estimates currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P $14.56 $14.48 $14.78 $14.84 $14.86 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 15.03 11.78 12.20 14.45 16.24 14.04 15.72 14.50 18.81 14.76 12.08 14.94 11.76 12.12 14.27 16.10 13.95 15.66 14.43 18.59 14.61 12.18 15.26 11.93 12.36 14.77 16.41 14.26 15.86 14.62 19.24 14.93 12.18 15.33 12.00 12.41 14.84 16.55 14.34 15.88 14.65 19.23 14.96 12.29 15.32 (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 13.89 12.45 20.74 11.18 9.65 16.49 14.63 18.03 21.07 13.14 10.16 13.81 12.39 20.17 11.15 9.51 16.29 14.55 17.88 20.78 13.17 10.14 14.09 12.61 19.87 11.28 9.82 16.76 14.82 18.19 21.50 13.37 10.36 14.13 12.62 20.29 11.43 9.85 16.70 14.81 18.24 21.32 13.45 10.29 $14.21 (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 currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. Average hourly earnings Industry Average weekly earnings Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P Total private: Current dollars Constant (1982) dollars $14.77 8.14 $14.64 8.19 $15.04 8.23 $15.06 8.21 $15.16 $505.13 $491.90 $517.38 $507.52 $515.44 278.31 275.27 283.19 276.73 (2) (2) Mining: Current dollars Constant (1982) dollars 17.77 9.79 17.89 10.01 17.85 9.77 18.02 9.83 $18.24 (2) 762.33 420.02 754.96 422.47 755.06 413.28 755.04 $767.90 411.69 (2) Construction: Current dollars Constant (1982) dollars 18.87 10.40 18.56 10.39 19.23 10.53 19.01 10.37 $18.99 (2) 732.16 403.39 714.56 399.87 726.89 397.86 724.28 $695.03 394.92 (2) Manufacturing: Current dollars Constant (1982) dollars 15.30 8.43 15.15 8.48 15.58 8.53 15.55 8.48 $15.56 (2) 625.77 344.78 612.06 342.51 646.57 353.90 629.78 $628.62 343.39 (2) Transportation and public utilities: Current dollars Constant (1982) dollars 17.29 9.53 17.13 9.59 17.48 9.57 17.48 9.53 $17.69 (2) 662.21 364.85 644.09 360.43 678.22 371.22 660.74 $675.76 360.27 (2) Wholesale trade: Current dollars Constant (1982) dollars 16.21 8.93 16.11 9.02 16.48 9.02 16.40 8.94 $16.54 (2) 622.46 342.95 608.96 340.77 641.07 350.89 623.20 $640.10 339.80 (2) Retail trade: Current dollars Constant (1982) dollars 10.04 5.53 9.96 5.57 10.18 5.57 10.23 5.58 $10.26 (2) 291.16 160.42 279.88 156.62 300.31 164.37 290.53 $296.51 158.41 (2) Finance, insurance, and real estate: Current dollars Constant (1982) dollars 16.35 9.01 16.07 8.99 16.82 9.21 16.77 9.14 $16.93 (2) 590.24 325.20 575.31 321.94 617.29 337.87 603.72 $624.72 329.18 (2) Services: Current dollars Constant (1982) dollars 15.24 8.40 15.14 8.47 15.68 8.58 15.63 8.52 $15.81 (2) 496.82 273.73 487.51 272.81 514.30 281.50 504.85 $518.57 275.27 (2) 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 Not available. P = preliminary. NOTE: The Consumer Price Index for Urban Wage Earners and Clerical Avg. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Feb. 2003P Workers (CPI-W) is used to deflate the earnings series. Establishment survey estimates currently reflect March 2001 benchmark levels. When more recent benchmark data are introduced with the release of May 2003 estimates, all data will be converted to the North American Industry Classification System. See editor's note on the first page of this publication for additional information. Average weekly earnings Average hourly earnings Average weekly hours State and area Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Alabama Birmingham Mobile 40.7 42.3 43.0 41.7 41.6 46.0 41.4 42.3 45.1 $12.87 13.40 14.05 $13.34 13.79 15.75 $13.27 13.95 15.47 $523.81 566.82 604.15 $556.28 573.66 724.50 $549.38 590.09 697.70 Alaska 32.8 30.2 22.8 15.50 15.20 14.10 508.40 459.04 321.48 Arizona Phoenix-Mesa Tucson 40.1 38.7 42.2 39.9 39.7 41.4 40.0 38.9 42.6 14.06 13.92 14.89 14.50 13.95 15.87 14.36 13.86 15.57 563.81 538.70 628.36 578.55 553.82 657.02 574.40 539.15 663.28 Arkansas Fayetteville-Springdale-Rogers Fort Smith Little Rock-North Little Rock 39.6 39.0 40.0 38.1 40.1 38.8 43.4 40.9 39.7 39.1 41.0 40.5 13.12 13.04 12.98 12.64 13.41 13.52 14.00 13.77 13.38 13.28 14.13 13.81 519.55 508.56 519.20 481.58 537.74 524.58 607.60 563.19 531.19 519.25 579.33 559.31 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 38.5 39.9 40.0 38.7 36.9 43.2 39.1 40.9 38.4 36.2 38.3 35.8 38.8 37.6 38.9 37.2 38.5 41.8 40.4 37.7 39.6 40.6 41.5 42.1 40.3 41.0 40.4 41.1 40.8 37.6 40.0 42.3 39.1 40.8 39.9 42.9 39.0 36.6 38.9 39.0 41.4 41.7 39.3 39.6 40.2 40.8 39.4 35.8 39.1 40.3 39.1 39.4 39.9 41.9 15.02 16.74 12.92 13.22 15.31 18.23 13.75 13.12 15.74 15.24 15.44 14.86 20.69 15.78 17.73 13.44 16.33 15.51 15.12 15.54 13.25 13.33 15.44 18.21 14.06 13.12 15.77 15.40 15.03 14.95 21.07 15.52 17.00 13.55 16.88 15.98 15.04 15.61 13.23 13.30 15.30 18.42 13.99 13.06 15.53 15.43 15.10 15.13 20.86 15.65 16.95 13.51 16.68 15.86 578.27 667.93 516.80 511.61 564.94 787.54 537.63 536.61 604.42 551.69 591.35 531.99 802.77 593.33 689.70 499.97 628.71 648.32 610.85 585.86 524.70 541.20 640.76 766.64 566.62 537.92 637.11 632.94 613.22 562.12 842.80 656.50 664.70 552.84 673.51 685.54 586.56 571.33 514.65 518.70 633.42 768.11 549.81 517.18 624.31 629.54 594.94 541.65 815.63 630.70 662.75 532.29 665.53 664.53 Colorado Denver 1 39.9 39.0 40.4 38.4 39.2 38.5 15.32 15.78 16.95 16.48 17.04 16.02 611.27 615.42 684.78 632.83 667.97 616.77 Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Waterbury 41.8 42.1 41.1 41.9 43.5 42.2 36.9 41.9 40.6 42.1 43.4 43.9 42.0 38.9 41.6 41.4 41.0 42.5 43.2 42.0 37.8 16.99 16.34 18.02 17.65 17.79 17.47 16.11 17.68 18.95 19.04 18.51 17.13 17.51 16.52 17.27 18.27 18.73 17.93 17.46 17.30 16.18 710.18 687.91 740.62 739.54 773.87 737.23 594.46 740.79 769.37 801.58 803.33 752.01 735.42 642.63 718.43 756.38 767.93 762.03 754.27 726.60 611.60 Delaware Wilmington-Newark 38.6 39.1 40.5 41.2 39.5 40.9 16.01 19.99 17.29 20.75 16.72 20.67 617.99 781.61 700.25 854.90 660.44 845.40 District of Columbia: Washington PMSA 36.8 38.5 38.1 15.28 15.86 15.99 562.30 610.61 609.22 Florida 41.9 43.2 42.2 13.03 13.90 14.14 545.96 600.48 596.71 Georgia Atlanta 41.0 39.1 41.4 40.1 39.8 37.5 13.25 15.12 14.35 15.68 13.97 15.38 543.25 591.19 594.09 628.77 556.01 576.75 Hawaii Honolulu 35.1 34.9 37.6 37.6 34.8 34.8 13.61 13.24 12.66 12.48 12.59 12.48 477.71 462.08 476.02 469.25 438.13 434.30 Idaho 38.4 42.4 39.1 14.14 13.55 13.57 542.98 574.52 530.59 Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island Decatur Peoria-Pekin Rockford 40.5 38.3 38.9 41.6 38.1 39.7 37.3 41.6 42.1 42.4 39.9 42.8 42.1 40.9 38.9 42.8 40.6 41.7 39.5 41.1 40.5 39.6 39.8 41.1 14.91 19.67 13.72 14.80 15.01 16.29 17.14 16.93 15.17 19.69 13.75 14.78 14.80 16.47 17.23 17.14 15.17 19.93 13.94 14.70 15.09 16.56 17.31 17.25 603.86 753.36 533.71 615.68 571.88 646.71 639.32 704.29 638.66 834.86 548.63 632.58 623.08 673.62 670.25 733.59 615.90 831.08 550.63 604.17 611.15 655.78 688.94 708.98 Indiana Elkhart-Goshen Evansville-Henderson Fort Wayne Indianapolis South Bend 41.9 36.1 41.8 38.9 40.7 43.9 43.0 40.3 41.7 42.9 40.4 41.4 42.2 40.1 42.1 42.1 40.5 43.2 17.00 15.08 14.66 16.44 18.16 13.80 17.71 15.55 14.39 16.83 17.95 14.54 17.69 15.27 14.32 16.78 18.04 14.66 712.30 544.39 612.79 639.52 739.11 605.82 761.53 626.67 600.06 722.01 725.18 601.96 746.52 612.33 602.87 706.44 730.62 633.31 Iowa Des Moines 41.0 43.6 41.7 44.6 40.6 42.3 15.02 16.05 15.95 18.75 15.35 16.62 615.82 699.78 665.12 836.25 623.21 703.03 Kansas Wichita 40.3 39.1 41.0 39.4 40.3 38.5 15.79 18.27 15.71 17.93 15.88 18.35 636.34 714.36 644.11 706.44 639.96 706.48 Average weekly earnings Average hourly earnings Average weekly hours State and area Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Kentucky Lexington Louisville 41.9 38.6 41.9 42.9 39.4 43.3 41.6 38.4 41.5 $15.54 13.80 18.28 $15.98 14.93 19.58 $16.13 14.91 19.79 $651.13 532.68 765.93 $685.54 588.24 847.81 $671.01 572.54 821.29 Louisiana Baton Rouge New Orleans 42.2 43.8 45.5 44.5 43.0 46.7 43.1 42.5 46.5 16.53 19.22 17.05 17.55 17.86 17.78 17.00 17.88 17.33 697.57 841.84 775.78 780.98 767.98 830.33 732.70 759.90 805.85 Maine Portland 39.5 40.5 40.8 41.8 40.2 41.7 15.21 12.70 16.13 13.16 16.15 13.02 600.80 514.35 658.10 550.09 649.23 542.93 Maryland 39.4 40.3 39.4 14.83 15.52 15.27 584.30 625.46 601.64 Massachusetts Boston Lawrence Lowell Springfield Worcester 40.2 40.7 39.1 40.4 39.7 39.7 41.6 41.3 40.2 37.6 40.8 40.8 40.3 38.9 38.9 39.2 40.7 40.7 16.00 17.77 16.09 17.33 15.30 14.92 16.67 18.03 15.20 17.92 15.81 15.43 16.54 17.93 14.96 17.60 15.78 15.41 643.20 723.24 629.12 700.13 607.41 592.32 693.47 744.64 611.04 673.79 645.05 629.54 666.56 697.48 581.94 689.92 642.25 627.19 Michigan Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland 42.2 42.8 42.1 43.9 41.8 40.1 41.2 41.0 43.0 44.0 44.2 45.4 45.7 46.9 41.1 41.0 43.0 46.7 43.0 43.3 44.7 44.7 44.5 40.7 39.6 41.9 45.4 19.96 22.22 13.46 23.37 27.82 15.85 16.10 23.42 23.11 21.29 23.43 13.86 24.60 30.65 16.63 15.72 24.87 25.42 20.99 23.60 13.62 24.20 30.12 16.33 15.47 24.45 24.94 842.31 951.02 566.67 1,025.94 1,162.88 635.59 663.32 960.22 993.73 936.76 1,035.61 629.24 1,124.22 1,437.49 683.49 644.52 1,069.41 1,187.11 902.57 1,021.88 608.81 1,081.74 1,340.34 664.63 612.61 1,024.46 1,132.28 Minnesota Minneapolis-St. Paul 39.0 39.3 41.2 41.1 39.2 40.5 14.94 16.16 15.23 16.36 15.32 16.65 582.66 635.09 627.48 672.40 600.54 674.33 Mississippi Jackson 41.1 38.8 41.5 39.7 40.1 40.1 12.16 12.44 12.62 13.02 12.71 13.14 499.78 482.67 523.73 516.89 509.67 526.91 Missouri Kansas City St. Louis 40.3 44.1 42.0 40.2 43.5 42.2 40.1 43.2 43.2 16.71 19.42 20.62 18.04 19.96 21.31 18.41 19.86 21.33 673.41 856.42 866.04 725.21 868.26 899.28 738.24 857.95 921.46 Montana 37.2 39.6 38.8 14.54 14.29 14.26 540.89 565.88 553.29 Nebraska Lincoln Omaha 41.7 39.8 45.5 41.7 39.6 41.8 41.4 41.3 41.4 13.78 14.64 15.81 14.49 14.85 17.22 14.62 15.09 17.35 574.63 582.67 719.36 604.23 588.06 719.80 605.27 623.22 718.29 Nevada Las Vegas 37.9 39.6 38.0 39.6 38.1 38.8 14.42 13.65 14.53 13.63 14.46 13.30 546.52 540.54 552.14 539.75 550.93 516.04 New Hampshire Manchester Nashua Portsmouth-Rochester 39.7 39.7 39.7 42.2 40.5 39.7 40.5 43.7 40.1 38.6 40.1 42.5 13.94 16.06 14.23 15.45 14.85 15.76 14.75 15.72 14.87 15.60 14.35 16.02 553.42 637.58 564.93 651.99 601.43 625.67 597.38 686.96 596.29 602.16 575.44 680.85 New Jersey 40.1 41.6 40.3 15.04 15.48 15.07 603.10 643.97 607.32 New Mexico Albuquerque 38.9 38.1 39.7 39.1 38.7 37.2 13.50 14.95 13.30 14.51 13.18 14.65 525.15 569.60 528.01 567.34 510.07 544.98 New York New York City 39.8 36.6 41.1 38.7 40.3 38.3 16.65 13.00 16.84 13.26 16.78 13.48 662.67 475.80 692.12 513.16 676.23 516.28 North Carolina Asheville Chaiiotte-Gastonia-Rock Hill Greensboro—Winston-Salem—High Point Raleigh-Durham-Chapel Hill 39.8 39.8 39.1 40.4 41.1 41.1 42.9 39.9 40.2 42.3 39.4 42.1 40.0 39.0 39.9 13.08 12.18 13.43 13.29 14.11 13.38 12.16 13.78 13.27 15.13 13.40 12.56 13.72 13.28 14.68 520.58 484.76 525.11 536.92 579.92 549.92 521.66 549.82 533.45 640.00 527.96 528.78 548.80 517.92 585.73 North Dakota Fargo-Moorhead 39.1 41.3 41.3 39.8 37.9 39.7 13.36 13.99 13.53 13.36 14.13 13.84 522.38 577.79 558.79 531.73 535.53 549.45 40.7 38.5 38.5 40.6 40.1 39.9 40.8 42.0 41.3 44.9 40.0 42.1 40.0 40.5 44.1 42.2 40.8 42.5 41.6 43.4 45.1 42.1 41.4 41.2 38.4 41.8 41.6 39.7 42.8 42.4 43.6 43.2 40.1 17.23 14.50 14.44 17.76 16.99 15.26 17.85 16.88 18.18 20.32 20.39 18.07 15.46 14.84 18.11 17.41 16.77 19.60 18.03 18.57 21.29 22.99 18.07 15.40 15.28 18.26 17.15 16.82 19.49 18.38 18.25 21.93 22.82 701.26 558.25 555.94 721.06 681.30 608.87 728.28 708.96 750.83 912.37 815.60 760.75 618.40 601.02 798.65 734.70 684.22 833.00 750.05 805.94 960.18 967.88 748.10 634.48 586.75 763.27 713.44 667.75 834.17 779.31 795.70 947.38 915.08 Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Mansfield Toledo Youngstown-Warren Average weekly hours State and area Average hourly earnings Jan. 2002 Dec. 2002 Jan. 2003P Oklahoma Oklahoma City Tulsa 39.2 38.0 38.6 39.0 40.2 40.4 Oregon Eugene-Springfield Medford-Ashland Portland-Vancouver Salem 37.9 39.3 36.6 37.7 35.2 Pennsylvania Allentown-Bethlehem-Easton Erie Harrisburg-Lebanon-Carlisle Lancaster Philadelphia PMSA Pittsburgh Reading Scranton—Wilkes-Barre—Hazleton York Rhode Island Providence-Fall River-Warwick Average weekly earnings Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P 38.8 39.7 40.8 $13.81 14.17 15.67 $14.18 15.47 15.72 $14.05 15.39 15.38 $541.35 538.46 604.86 $553.02 621.89 635.09 $545.14 610.98 627.50 39.3 42.6 38.7 38.9 39.1 38.4 38.6 36.3 37.9 38.3 15.02 14.55 14.50 15.43 13.59 15.27 14.82 14.51 16.07 12.86 15.30 15.19 15.51 15.90 13.11 569.26 571.82 530.70 581.71 478.37 600.11 631.33 561.54 625.12 502.83 587.52 586.33 563.01 602.61 502.11 39.6 41.6 42.6 37.2 37.1 40.9 39.1 38.6 38.6 42.0 39.8 39.4 43.4 37.2 38.6 40.9 39.8 40.2 39.4 39.5 39.7 39.6 41.0 37.3 38.7 40.7 39.0 39.8 39.6 40.6 14.58 15.13 15.43 14.52 14.49 16.14 15.52 15.13 13.19 15.10 15.00 14.96 15.46 15.17 14.93 16.21 16.13 14.93 13.68 15.06 14.87 14.68 15.33 14.87 14.74 16.08 15.94 14.97 13.55 15.00 577.37 629.41 657.32 540.14 537.58 660.13 606.83 584.02 509.13 634.20 597.00 589.42 670.96 564.32 576.30 662.99 641.97 600.19 538.99 594.87 590.34 581.33 628.53 554.65 570.44 654.46 621.66 595.81 536.58 609.00 38.4 39.7 40.0 40.0 38.3 39.3 12.63 13.08 12.84 13.23 12.78 13.21 484.99 519.28 513.60 529.20 489.47 519.15 South Carolina 41.0 42.2 41.9 13.95 14.19 14.17 571.95 598.82 593.72 South Dakota 40.4 43.3 41.7 12.45 13.01 12.74 502.98 563.33 531.26 Tennessee Chattanooga Johnson City-Kingsport-Bristol Knoxville Memphis Nashville 39.8 41.4 39.6 41.7 40.8 40.1 40.7 40.5 41.4 41.1 40.9 40.6 39.7 43.1 38.6 40.1 40.6 37.0 13.09 12.66 13.08 13.55 14.64 13.90 13.47 12.74 13.49 13.91 15.71 14.37 13.47 12.99 13.06 14.04 15.13 14.57 520.98 524.12 517.97 565.04 597.31 557.39 548.23 515.97 558.49 571.70 642.54 583.42 534.76 559.87 504.12 563.00 614.28 539.09 Texas Dallas Ft. Worth-Arlington Houston San Antonio 41.2 39.3 40.0 43.6 37.6 41.6 39.1 40.2 44.5 38.2 41.2 39.2 40.5 43.4 38.5 13.97 13.95 17.73 17.00 10.69 13.93 13.62 17.40 17.04 10.82 13.94 13.57 17.39 17.06 10.84 575.56 548.24 709.20 741.20 401.94 579.49 532.54 699.48 758.28 413.32 574.33 531.94 704.30 740.40 417.34 Utah Salt Lake City-Ogden 37.4 35.7 39.5 38.3 38.0 36.4 13.75 14.40 14.46 14.29 14.73 14.38 514.25 514.08 571.17 547.31 559.74 523.43 Vermont Burlington 40.0 37.4 39.4 37.6 39.6 37.6 14.29 14.88 14.43 15.08 14.46 15.12 571.60 556.51 568.54 567.01 572.62 568.51 Virginia Lynchburg Norfolk-Virginia Beach-Newport News Richmond-Petersburg 40.5 40.8 44.2 38.8 41.3 42.8 47.2 36.1 40.2 41.8 45.0 35.4 14.99 14.52 17.90 15.78 15.82 14.60 18.25 16.49 15.63 14.58 18.12 16.33 607.10 592.42 791.18 612.26 653.37 624.88 861.40 595.29 628.33 609.44 815.40 578.08 Washington 39.8 39.7 38.2 18.79 17.42 17.55 747.84 691.57 670.41 West Virginia Huntington-Ashland 40.8 41.2 41.6 42.5 41.1 41.2 15.17 15.29 15.93 15.79 16.00 15.72 618.94 629.95 662.69 671.08 657.60 647.66 Wisconsin Appleton-Oshkosh-Neenah Eau Claire Green Bay Janesville-Beloit La Crosse Madison Milwaukee-Waukesha Racine Sheboygan Wausau 40.2 41.0 43.1 41.9 49.0 39.2 41.8 38.7 40.6 39.3 42.9 40.8 42.4 47.0 41.8 44.2 41.4 41.4 41.4 44.6 40.3 42.7 40.1 39.7 47.9 41.7 43.2 40.9 41.6 40.8 42.8 38.0 40.8 15.82 16.86 15.11 14.43 24.41 13.80 15.23 16.90 14.78 15.42 15.85 16.12 17.51 15.04 14.16 26.18 14.35 15.61 17.03 15.32 15.28 16.16 15.98 17.38 15.27 14.20 26.60 14.37 15.26 16.66 15.74 15.43 16.37 635.96 691.26 651.24 604.62 1,196.09 540.96 636.61 654.03 600.07 606.01 679.97 657.70 742.42 706.88 591.89 1,157.16 594.09 646.25 705.04 683.27 615.78 690.03 640.80 689.99 731.43 592.14 1,149.12 587.73 634.82 679.73 673.67 586.34 667.90 Wyoming 37.7 40.7 39.4 17.67 17.53 18.25 666.16 713.47 719.05 Puerto Rico 38.7 41.4 39.5 10.30 10.46 10.30 398.61 433.04 406.85 Virgin Islands 44.2 44.2 42.7 22.41 24.01 23.57 990.52 1,061.24 1,006.44 1 Data for 2003 are not directly comparable with data for previous years because of a change in metropolitan area definitions. P = preliminary. NOTE: Data reflect the conversion to the 2002 version of the North American Industry Classification System (NAICS) as the basis for the assignment and tabulation of economic data by industry, replacing the 1987 Standard Industrial Classification (SIC) system. Due to differences in NAICS and SIC structures, NAICS-based data by industry are not comparable with the SIC-based data. In addition, data reflect March 2002 benchmark levels and the introduction of estimates based on small-domain models for some areas. See the article, "Revisions to the Current Employment Statistics State and Area Estimates Effective January 2003," in this issue for additional information on the changes. (Numbers in thousands) 2002 2003 Census region and division Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P NORTHEAST Civilian labor force Employed Unemployed Unemployment rate 27,361.3 27,394.7 27,455.3 27,496.6 27,534.3 27,569.1 27,606.3 27,636.6 27,659.3 27,713.3 27,734.3 27,752.2 27,593.3 25,895.6 25,910.9 25,947.4 25,970.6 26,001.9 26,022.3 26,039.6 26,067.8 26,094.2 26,123.7 26,126.8 26,111.8 26,006.9 1,589.6 1,607.5 1,465.7 1,483.8 1,507.8 1,532.4 1,546.9 1,568.8 1,565.1 1,640.4 1,586.4 1,526.0 1,566.7 5.7 5.7 5.4 5.8 5.9 5.7 5.4 5.5 5.5 5.6 5.6 5.7 5.7 New England Civilian labor force Employed Unemployed Unemployment rate 7,491.9 7,152.4 339.6 4.5 7,498.7 7,153.4 345.3 4.6 7,520.6 7,168.2 352.5 4.7 7,534.9 7,175.9 359.0 4.8 7,541.4 7,186.6 354.8 4.7 7,556.0 7,193.1 362.9 4.8 7,569.4 7,198.1 371.3 4.9 7,580.3 7,200.7 379.6 5.0 7,588.0 7,208.3 379.8 5.0 7,597.6 7,215.3 382.3 5.0 7,598.5 7,216.1 382.3 5.0 7,596.5 7,207.4 389.1 5.1 7,570.3 7,197.5 372.9 4.9 Middle Atlantic Civilian labor force Employed Unemployed Unemployment rate 19,859.4 19,895.9 19,934.6 19,961.8 19,992.8 20,013.1 20,036.9 20,056.3 20,071.2 20,115.8 20,135.9 20,155.7 20,023.0 18,743.3 18,757.5 18,779.2 18,794.8 18,815.3 18,829.1 18,841.5 18,867.2 18,885.9 18,908.5 18,910.7 18,904.4 18,809.5 1,155.4 1,126.1 1,138.5 1,167.0 1,177.6 1,189.2 1,185.3 1,207.3 1,225.2 1,251.3 1,213.5 1,184.0 1,195.4 5.7 5.7 5.9 6.0 6.1 6.2 6.1 5.8 5.8 5.9 5.9 5.9 6.0 SOUTH Civilian labor force Employed Unemployed Unemployment rate 50,605.0 50,599.4 50,635.0 50,721.3 50,739.1 50,668.1 50,728.7 50,751.6 50,738.7 50,794.3 50,795.5 50,757.2 51,206.3 47,769.3 47,762.2 47,768.8 47,827.0 47,860.6 47,836.1 47,875.3 47,918.1 47,909.6 47,953.1 47,948.0 47,904.4 48,454.3 2,835.7 2,837.2 2,866.3 2,894.3 2,878.5 2,832.0 2,853.4 2,833.5 2,829.1 2,841.2 2,847.5 2,852.8 2,752.0 5.7 5.7 5.7 5.6 5.6 5.6 5.6 5.4 5.6 5.6 5.6 5.6 5.6 South Atlantic Civilian labor force Employed Unemployed Unemployment rate 26,646.0 26,638.8 26,651.6 26,695.9 26,698.1 26,668.8 26,702.5 26,715.0 26,687.7 26,703.3 26,702.2 26,672.9 26,914.9 25,205.9 25,201.7 25,203.5 25,240.7 25,260.6 25,241.5 25,272.0 25,298.1 25,280.1 25,298.7 25,294.6 25,262.4 25,560.8 1,354.1 1,437.1 1,455.3 1,437.5 1,427.4 1,430.5 1,416.8 1,407.6 1,404.7 1,407.6 1,410.5 1,440.1 1,448.1 5.4 5.3 5.4 5.4 5.5 5.4 5.4 5.4 5.3 5.3 5.0 5.3 5.3 East South Central Civilian labor force Employed Unemployed Unemployment rate 8,305.6 7,822.5 483.1 5.8 8,292.4 7,818.3 474.1 5.7 8,296.6 7,814.8 481.8 5.8 8,307.3 7,822.7 484.6 5.8 8,300.2 7,821.5 478.6 5.8 8,291.8 7,818.2 473.6 5.7 8,299.7 7,829.1 470.6 5.7 8,284.2 7,824.9 459.3 5.5 8,282.3 7,821.2 461.0 5.6 8,294.2 7,828.8 465.4 5.6 8,288.2 7,821.2 467.0 5.6 8,278.2 7,810.9 467.3 5.6 8,351.8 7,908.2 443.6 5.3 West South Central Civilian labor force Employed Unemployed Unemployment rate 15,653.4 15,668.2 15,686.9 15,718.0 15,740.9 15,707.5 15,726.5 15,752.4 15,768.8 15,796.8 15,805.1 15,806.2 15,939.5 14,740.9 14,742.2 14,750.5 14,763.6 14,778.5 14,776.5 14,774.2 14,795.1 14,808.3 14,825.7 14,832.1 14,831.1 14,985.3 960.4 971.2 954.4 962.4 912.4 926.0 936.4 952.4 957.3 972.9 975.1 954.3 931.0 6.2 5.9 6.0 6.1 6.1 6.2 6.0 5.8 6.1 6.1 5.9 6.1 6.1 MIDWEST Civilian labor force Employed Unemployed Unemployment rate 34,242.4 34,220.5 34,206.9 34,183.5 34,144.7 34,114.6 34,098.3 34,076.0 34,062.6 34,102.8 34,064.3 34,016.1 34,405.2 32,409.1 32,358.3 32,307.9 32,267.8 32,258.0 32,228.3 32,207.5 32,202.6 32,185.6 32,216.8 32,187.7 32,139.6 32,575.0 1,876.4 1,830.2 1,915.7 1,873.4 1,877.1 1,886.0 1,876.6 1,833.4 1,862.2 1,899.0 1,886.7 1,886.3 1,890.8 5.5 5.3 5.4 5.4 5.6 5.6 5.5 5.5 5.5 5.5 5.5 5.5 5.5 East North Central Civilian labor force Employed Unemployed Unemployment rate 23,539.9 23,516.5 23,497.9 23,469.7 23,427.1 23,389.5 23,392.1 23,360.3 23,340.2 23,369.6 23,334.2 23,297.9 23,668.9 22,186.1 22,141.8 22,093.1 22,053.5 22,033.0 22,001.1 22,003.7 21,981.4 21,957.6 21,978.6 21,954.1 21,914.4 22,304.7 1,374.7 1,388.4 1,388.5 1,353.8 1,404.9 1,394.1 1,378.9 1,382.6 1,391.0 1,380.1 1,364.2 1,416.2 1,383.5 5.9 5.8 5.8 6.0 5.9 6.0 5.9 5.9 5.8 6.0 6.0 5.9 5.9 West North Central Civilian labor force Employed Unemployed Unemployment rate 10,702.5 10,704.0 10,709.0 10,713.8 10,717.6 10,725.2 10,706.1 10,715.7 10,722.5 10,733.2 10,730.1 10,718.2 10,736.3 10,223.0 10,216.5 10,214.9 10,214.3 10,225.0 10,227.2 10,203.8 10,221.2 10,228.0 10,238.2 10,233.6 10,225.2 10,270.4 494.1 479.5 487.5 492.6 497.9 494.5 494.5 466.0 499.5 502.3 495.0 496.5 492.9 4.6 4.6 4.5 4.7 4.6 4.7 4.6 4.6 4.6 4.6 4.6 4.6 4.3 (Numbers in thousands) 2003 2002 Census region and division Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan P WEST Civilian labor force Employed Unemployed Unemployment rate 32,756.5 32,804.7 32,828.9 32,882.9 32,881.0 32,943.2 32,993.0 32,977.2 33,010.0 33,085.1 33,111.8 33,093.6 33,231.2 30,649.3 30,687.3 30,689.7 30,738.3 30,770.3 30,806.3 30,843.8 30,851.7 30,871.0 30,939.9 30,955.4 30,931.0 31,174.5 2,156.4 2,149.2 2,125.4 2,139.0 2,145.1 2,162.6 2,056.6 2,117.4 2,139.2 2,144.6 2,110.7 2,136.9 2,107.2 6.4 6.5 6.5 6.5 6.5 6.5 6.5 6.2 6.4 6.5 6.5 6.5 6.4 Mountain Civilian labor force Employed Unemployed Unemployment rate 9,656.6 9,095.8 560.7 5.8 9,666.3 9,100.0 566.3 5.9 9,669.3 9,101.4 567.9 5.9 9,683.2 9,122.3 560.9 5.8 9,697.0 9,139.6 557.4 5.7 9,716.5 9,155.6 560.9 5.8 9,732.3 9,169.5 562.9 5.8 9,732.4 9,177.0 555.4 5.7 9,729.8 9,173.5 556.3 5.7 9,737.9 9,184.2 553.7 5.7 9,736.2 9,181.5 554.7 5.7 9,725.5 9,172.0 553.4 5.7 9,760.9 9,237.9 523.0 5.4 Pacific Civilian labor force Employed Unemployed Unemployment rate 23,099.9 23,138.4 23,159.6 23,199.6 23,184.0 23,226.7 23,260.7 23,244.8 23,280.2 23,347.2 23,375.6 23,368.1 23,470.3 21,553.5 21,587.3 21,588.3 21,616.0 21,630.7 21,650.7 21,674.3 21,674.7 21,697.4 21,755.8 21,774.0 21,759.0 21,936.6 1,591.4 1,601.6 1,609.1 1,583.7 1,576.0 1,586.3 1,570.1 1,582.8 1,533.6 1,546.5 1,551.1 1,571.3 1,553.3 6.7 6.7 6.8 6.8 6.8 6.8 6.9 6.9 65 6.7 6.8 6.8 6.8 1 These estimates are obtained from summing offica! State estimates produced and published through the Local Area Unemployment Statistics (LAUS) program. P = preliminary. NOTE: The States (including the District of Columbia) that compose the various census divisions are: New England: Connecticut, Maine, Massachusetts, New 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. Data have been revised to incorporate population controls reflecting the results of Census 2000, the reestimation of models, benchmarking to Current Population Survey annual averages, and new seasonal adjustment factors. (Numbers in thousands) 2002 2003 State Jan. Feb. Mar. 2,115.4 1,992.3 123.0 5.8 2,111.7 1,988.4 123.3 5.8 2,109.9 1,984.6 125.2 5.9 319.8 297.8 21.9 6.9 320.2 297.6 22.6 7.1 2.645.8 2.483.9 161.9 6.1 Apr. May June July Aug. Sept. Oct. NOV. Dec. Jan.P 2,108.3 1,983.1 125.1 5.9 2,105.7 1,979.9 125.7 6.0 2,099.0 1,974.2 124.8 5.9 2,101.3 1,976.0 125.3 6.0 2,099.3 1,975.7 123.6 5.9 2,097.4 1,973.4 124.0 5.9 2,099.0 1,975.9 123.1 5.9 2,095.4 1,970.8 124.6 5.9 2,091.0 1,966.7 124.3 5.9 2,157.5 2,037.3 120.1 5.6 320.9 297.2 23.6 7.4 321.3 297.1 24.3 7.6 320.9 297.0 23.9 7.5 322.2 297.0 25.2 7.8 322.9 297.1 25.9 8.0 324.0 297.4 26.6 8.2 324.7 298.0 26.7 8.2 325.4 298.6 26.8 8.2 326.0 299.2 26.8 8.2 327.5 300.1 27.5 8.4 339.5 316.2 23.3 6.9 2,648.0 2,482.0 166.1 6.3 2,650.7 2,485.3 165.4 6.2 2,657.6 2,495.0 162.6 6.1 2,669.0 2,501.6 167.4 6.3 2,678.8 2,509.7 169.1 6.3 2,688.4 2,519.6 168.8 6.3 2,690.6 2,524.1 166.6 6.2 2,686.4 2,520.4 166.1 6.2 2,686.4 2,521.7 164.7 6.1 2.683.7 2.520.8 162.9 6.1 2.674.8 2.515.9 158.8 5.9 2,662.6 2,514.7 147.9 5.6 1,262.9 1,195.0 67.9 5.4 1,268.3 1,199.6 68.6 5.4 1,274.6 1,204.9 69.8 5.5 1,280.7 1,209.1 71.6 5.6 1,283.9 1,213.3 70.6 5.5 1,285.0 1,215.6 69.4 5.4 1,288.8 1,219.6 69.2 5.4 1,291.4 1,221.8 6S.6 5.4 1,296.0 1,225.3 70.6 5.5 1,298.3 1,227.0 71.3 5.5 1,298.7 1,228.3 70.4 5.4 1,298.4 1,228.4 70.1 5.4 1,299.2 1,235.9 63.4 4.9 17,313.7 16,198.6 1,115.2 6.4 17,348.8 16,218.3 1,130.6 6.5 17,357.4 16,211.2 1,146.2 6.6 17,374.4 16,220.1 1,154.4 6.6 17,363.0 16,222.7 1,140.3 6.6 17,392.7 16,228.6 1,164.1 6.7 17,415.7 16,243.0 1,172.7 6.7 17,394.6 16,230.4 1,164.3 6.7 17,422.3 16,246.8 1,175.5 6.7 17,473.9 16,285.8 1,188.1 6.8 17,503.0 16,305.9 1,197.1 6.8 17,497.8 16,291.5 1,206.3 6.9 17,558.7 16,415.5 1,143.2 6.5 2,423.1 2,285.4 137.7 5.7 2,426.0 2,287.2 138.7 5.7 2,429.6 2,288.3 141.4 5.8 2,432.4 2,293.2 139.3 5.7 2,434.3 2,299.3 135.1 5.5 2,441.1 2,301.3 139.9 5.7 2,439.0 2,299.4 139.6 5.7 2,444.2 2,304.0 140.2 5.7 2,445.7 2,304.6 141.1 5.8 2,446.9 2,305.3 141.7 5.8 2,444.1 2,302.9 141.2 5.8 2,441.8 2,299.1 142.6 5.8 2,453.7 2,320.4 133.3 5.4 1,760.2 1,688.8 71.4 4.1 1,761.7 1,690.0 71.7 4.1 1,764.5 1,691.8 72.7 4.1 1,768.9 1,694.5 74.4 4.2 1,770.6 1,696.0 74.7 4.2 1,771.2 1,697.1 74.1 4.2 1,774.5 1,696.8 77.7 4.4 1,777.5 1,698.9 78.5 4.4 1,778.2 1,698.9 79.3 4.5 1,781.3 1,700.5 80.7 4.5 1,782.7 1,700.5 82.2 4.6 1,783.3 1,699.3 84.0 4.7 1.776.8 1.690.9 85.9 4.8 427.3 410.4 17.0 4.0 426.5 409.7 16.8 3.9 425.6 407.9 17.7 4.2 426.1 407.4 18.7 4.4 424.3 406.2 18.1 4.3 422.6 404.4 18.2 4.3 422.4 404.6 17.8 4.2 421.3 403.3 18.0 4.3 421.7 403.5 18.2 4.3 421.3 403.1 18.2 4.3 420.6 402.4 18.2 4.3 419.2 401.4 17.8 4.3 421.2 406.9 14.3 3.4 307.5 287.5 20.0 6.5 306.1 286.1 20.0 6.5 306.1 286.3 19.7 6.4 305.9 286.2 19.7 6.5 305.0 285.1 19.9 6.5 303.9 284.4 19.4 6.4 303.2 284.1 19.1 6.3 302.3 283.4 18.9 6.3 302.4 283.5 19.0 6.3 301.8 282.6 19.2 6.4 302.1 282.7 19.4 6.4 302.5 282.6 19.8 6.6 300.5 282.3 18.2 6.1 8,072.2 7,617.9 454.3 5.6 8,069.1 7,612.9 456.2 5.7 8,066.9 7,614.6 452.3 5.6 8,077.3 7,631.1 446.2 5.5 8,085.9 7,641.8 444.1 5.5 8,076.6 7,634.6 442.0 5.5 8,105.1 7,658.8 446.3 5.5 8,120.2 7,676.4 443.8 5.5 8,087.0 7,652.4 434.7 5.4 8,088.7 7,658.0 430.7 5.3 8,083.9 7,658.4 425.5 5.3 8,076.6 7,645.6 431.0 5.3 8,124.8 7,695.3 429.5 5.3 4,254.9 4,046.1 208.9 4.9 4,262.8 4,050.3 212.5 5.0 4,271.8 4,055.3 216.5 5.1 4,282.3 4,065.2 217.2 5.1 4,289.1 4,068.8 220.3 5.1 4,290.2 4,068.2 222.0 5.2 4,298.3 4,074.9 223.5 5.2 4,304.0 4,080.3 223.7 5.2 4,309.2 4,083.6 225.6 5.2 4,313.6 4,086.5 227.1 5.3 4,315.8 4,089.1 226.7 5.3 4.316.5 4.089.6 226.9 5.3 4,351.8 4,150.4 201.4 4.6 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 Civilian labor force Employed Unemployed Unemployment rate Georgia Civilian labor force Employed Unemployed Unemployment rate (Numbers in thousands) 2002 2003 State Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. NOV. Dec. Jan.P Hawaii Civilian labor force Employed Unemployed Unemployment rate 587.4 558.6 28.7 4.9 584.0 556.5 27.5 4.7 582.1 555.4 26.8 4.6 580.9 555.1 25.8 4.4 581.1 555.9 25.2 4.3 581.4 557.4 24.1 4.1 581.1 557.1 24.0 4.1 580.5 557.4 23.0 4.0 581.7 558.2 23.4 4.0 581.9 559.2 22.7 3.9 581.8 559.2 22.6 3.9 582.3 559.4 22.9 3.9 595.6 574.0 21.7 3.6 686.3 646.6 39.7 5.8 686.3 646.1 40.2 5.9 685.2 644.9 40.3 5.9 685.2 645.4 39.8 5.8 683.7 645.2 38.4 5.6 684.5 645.3 39.2 5.7 685.0 645.4 39.7 5.8 683.6 644.3 39.2 5.7 682.5 643.0 39.5 5.8 682.6 643.0 39.6 5.8 683.4 642.6 40.8 6.0 684.5 642.9 41.6 6.1 692.2 653.0 39.2 5.7 6,418.7 6,027.1 391.5 6.1 6,410.1 6,012.1 398.0 6.2 6,399.4 5,992.2 407.2 6.4 6,390.8 5,974.7 416.2 6.5 6,379.0 5,963.0 416.0 6.5 6,362.9 5,948.6 414.3 6.5 6,366.3 5,946.1 420.1 6.6 6,360.6 5,945.3 415.4 6.5 6,357.9 5,933.7 424.2 6.7 6,369.7 5,937.8 431.9 6.8 6,368.6 5,942.2 426.4 6.7 6,362.8 5,938.9 423.9 6.7 6,401.9 5,997.4 404.5 6.3 3,159.8 2,992.9 166.9 5.3 3,161.2 2,995.2 166.1 5.3 3,159.8 2,994.4 165.4 5.2 3,166.6 2,998.4 168.3 5.3 3,166.7 3,001.9 164.8 5.2 3,174.5 3,010.0 164.4 5.2 3,189.5 3,026.9 162.7 5.1 3,187.1 3,024.0 163.1 5.1 3,183.5 3,022.1 161.4 5.1 3,187.6 3,027.6 160.1 5.0 3,182.8 3,025.1 157.7 5.0 3,177.5 3,021.9 155.6 4.9 3,191.1 3,039.5 151.6 4.8 1,649.5 1,589.0 60.5 3.7 1,654.0 1,590.9 63.1 3.8 1,655.8 1,592.0 63.8 3.9 1,661.4 1,595.4 66.0 4.0 1,669.4 1,602.2 67.2 4.0 1,669.8 1,603.1 66.8 4.0 1,671.9 1,602.8 69.1 4.1 1,673.0 1,603.5 69.6 4.2 1,677.1 1,607.4 69.7 4.2 1,678.4 1,607.2 71.2 4.2 1,677.0 1,607.5 69.4 4.1 1,677.1 1,607.3 69.8 4.2 1,649.6 1,586.4 63.3 3.8 1,399.4 1,330.1 69.3 5.0 1,401.0 1,331.3 69.7 5.0 1,404.5 1,334.2 70.3 5.0 1,408.1 1,336.9 71.1 5.1 1,410.4 1,339.4 71.0 5.0 1,414.1 1,341.8 72.3 5.1 1,418.2 1,343.6 74.6 5.3 1,418.9 1,346.0 73.0 5.1 1,420.8 1,347.4 73.4 5.2 1,424.2 1,349.8 74.4 5.2 1,425.9 1,351.3 74.6 5.2 1,425.8 1,352.1 73.7 5.2 1,470.6 1,401.8 68.7 4.7 1,978.4 1,863.8 114.6 5.8 1,971.7 1,860.9 110.8 5.6 1,972.7 1,860.2 112.5 5.7 1,971.4 1,858.6 112.7 5.7 1,970.1 1,857.4 112.7 5.7 1,965.8 1,856.5 109.3 5.6 1,964.2 1,855.4 108.7 5.5 1,963.5 1,855.5 107.9 5.5 1,960.2 1,853.5 106.7 5.4 1,959.5 1,853.9 105.7 5.4 1,959.8 1,852.7 107.1 5.5 1,958.7 1,850.5 108.2 5.5 1,984.9 1,879.6 105.3 5.3 2,024.2 1,900.7 123.4 6.1 2,020.1 1,897.1 123.1 6.1 2,012.4 1,891.6 120.9 6.0 2,011.3 1,887.4 123.9 6.2 2,008.8 1,882.6 126.2 6.3 2,003.9 1,880.6 123.2 6.1 2,000.8 1,878.8 122.0 6.1 1,999.5 1,876.5 123.0 6.2 1,998.0 1,875.5 122.5 6.1 1,993.6 1,871.7 121.9 6.1 1,998.5 1,874.2 124.3 6.2 2,001.8 1,876.1 125.7 6.3 2,043.6 1,936.0 107.6 5.3 685.1 656.6 28.5 4.2 684.4 655.8 28.5 4.2 685.0 655.9 29.1 4.3 685.6 656.3 29.3 4.3 685.4 656.4 29.1 4.2 686.4 656.7 29.8 4.3 687.3 657.2 30.1 4.4 686.6 656.4 30.2 4.4 686.0 655.5 30.5 4.4 687.1 656.2 •31.0 4.5 687.2 655.2 32.1 4.7 687.7 654.8 32.9 4.8 698.3 666.2 32.2 4.6 2,886.1 2,756.7 129.4 4.5 2,888.4 2,762.1 126.3 4.4 2,897.9 2,768.2 129.7 4.5 2,900.2 2,767.9 132.2 4.6 2,899.9 2,772.1 127.8 4.4 2,901.9 2,773.6 128.3 4.4 2,900.0 2,773.9 126.1 4.3 2,901.1 2,775.6 125.4 4.3 2,901.6 2,778.0 123.6 4.3 2,903.6 2,781.2 122.4 4.2 2,901.7 2,779.1 122.6 4.2 2,897.0 2,774.3 122.7 4.2 2,927.8 2,809.5 118.3 4.0 3,449.9 3,280.6 169.4 4.9 3,454.3 3,280.2 174.2 5.0 3,468.5 3,290.0 178.5 5.1 3,476.9 3,294.2 182.7 5.3 3,478.7 3,300.5 178.2 5.1 3,488.4 3,302.5 185.9 5.3 3,494.3 3,304.6 189.7 5.4 3,500.5 3,306.0 194.6 5.6 3,505.5 3,312.1 193.4 5.5 3,508.4 3,315.9 192.5 5.5 3,505.2 3,315.6 189.6 5.4 3,505.7 3,312.7 193.0 5.5 3,453.3 3,274.0 179.3 5.2 Idaho Civilian labor force Employed Unemployed Unemployment rate Illinois Civilian labor force Employed Unemployed Unemployment rate Indiana Civilian labor force Employed Unemployed Unemployment rate !"»wa 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 Maryland Civilian labor force Employed Unemployed Unemployment rate Massachusetts Civilian labor force Employed Unemployed Unemployment rate (Numbers in thousands) 2002 2003 State Jan. Feb. Mar. 5,070.1 4,754.7 315.5 6.2 5,052.1 4,741.7 310.3 6.1 5,044.6 4,725.3 319.3 6.3 2,915.9 2,788.4 127.5 4.4 2,916.5 2,785.1 131.3 4.5 1,301.3 1,215.9 85.4 6.6 May June July Aug. Sept. Oct. Nov. Dec. Jan.P 5,025.5 4,709.7 315.8 6.3 5,014.4 4,702.7 311.8 6.2 5,006.0 4,691.9 314.1 6.3 4,988.4 4,679.3 309.1 6.2 4,974.9 4,669.7 305.3 6.1 4,967.8 4,663.7 304.1 6.1 4,975.1 4,670.3 304.8 6.1 4,957.0 4,652.4 304.6 6.1 4,941.2 4,634.0 307.2 6.2 5,103.2 4,786.0 317.2 6.2 2,915.8 2,783.5 132.3 4.5 2,920.0 2,786.2 133.8 4.6 2,918.0 2,789.8 128.2 4.4 2,920.3 2,791.3 129.0 4.4 2,923.6 2,794.2 129.4 4.4 2,919.5 2,792.1 127.4 4.4 2,915.5 2,790.3 125.3 4.3 2.919.2 2.794.3 124.9 4.3 2,918.6 2,793.8 124.9 4.3 2,913.7 2,789.4 124.4 4.3 2,909.2 2,783.5 125.7 4.3 1,298.5 1,213.8 84.7 6.5 1,298.5 1,211.8 86.7 6.7 1,300.7 1,210.1 90.6 7.0 1,297.0 1,208.5 88.6 6.8 1,297.0 1,208.0 88.9 6.9 1,299.2 1,211.5 87.7 6.8 1,292.4 1,206.1 86.3 6.7 1.292.4 1.205.5 86.9 6.7 1,300.1 1,209.0 91.1 7.0 1,299.4 1,208.7 90.8 7.0 1,298.5 1,208.0 90.5 7.0 1,321.6 1,236.4 85.2 6.4 3,019.6 2,858.6 161.0 5.3 3,011.9 2,850.6 161.3 5.4 3,010.5 2,845.1 165.4 5.5 3,000.1 2,834.8 165.3 5.5 2,994.9 2,830.6 164.2 5.5 2,996.1 2,826.9 169.1 5.6 2,967.7 2,799.4 168.3 5.7 2,978.4 2,814.4 164.0 5.5 2,980.0 2,815.2 164.8 5.5 2,977.8 2,813.8 164.0 5.5 2,974.2 2,808.1 166.1 5.6 2,968.5 2,803.8 164.7 5.5 2,960.8 2,810.5 150.3 5.1 461.8 440.5 21.3 4.6 462.6 441.2 21.4 4.6 462.6 440.5 22.1 4.8 462.7 441.2 21.5 4.6 462.4 441.3 21.1 4.6 465.4 443.6 21.8 4.7 463.2 442.1 21.2 4.6 462.7 442.4 20.3 4.4 463.6 442.8 20.8 4.5 465.9 444.4 21.5 4.6 466.9 445.1 21.8 4.7 466.5 444.7 21.8 4.7 470.2 450.2 20.0 4.2 955.0 921.6 33.4 3.5 957.4 922.8 34.6 3.6 958.3 923.7 34.6 3.6 958.8 923.7 35.1 3.7 959.0 924.5 34.4 3.6 958.8 924.3 34.5 3.6 957.9 923.7 34.2 3.6 958.1 924.0 34.1 3.6 959.8 925.4 34.5 3.6 962.6 929.0 33.6 3.5 962.7 928.2 34.6 3.6 962.2 927.4 34.9 3.6 976.3 943.7 32.6 3.3 1,122.4 1,048.7 73.7 6.6 1.120.5 1.050.6 69.9 6.2 1,119.8 1,052.8 67.1 6.0 1,119.3 1,055.7 63.6 5.7 1,122.2 1,059.2 63.0 5.6 1,124.1 1,061.8 62.3 5.5 1.127.3 1.065.4 61.9 5.5 1,123.2 1,064.1 59.1 5.3 1,121.0 1,064.5 56.5 5.0 1,121.0 1,066.6 54.4 4.9 1,119.7 1,064.9 54.8 4.9 1.118.7 1.063.8 55.0 4.9 1,113.5 1,058.1 55.4 5.0 700.9 670.5 30.3 4.3 702.0 670.8 31.2 4.4 703.6 671.6 32.0 4.5 703.6 671.3 32.3 4.6 704.9 672.0 32.9 4.7 705.3 671.9 33.4 4.7 706.5 673.4 33.1 4.7 706.9 672.5 34.4 4.9 708.7 674.5 34.2 4.8 709.3 674.2 35.1 5.0 709.5 674.3 35.1 5.0 706.5 671.3 35.2 5.0 716.8 685.1 31.7 4.4 4,355.2 4,120.9 234.3 5.4 4,360.5 4,118.7 241.8 5.5 4.365.6 4.116.7 248.8 5.7 4,360.0 4,107.8 252.2 5.8 4,360.6 4,106.4 254.1 5.8 4,360.9 4,102.6 258.3 5.9 4,366.1 4,103.1 263.0 6.0 4,366.5 4,105.5 261.0 6.0 4,370.9 4,110.3 260.6 6.0 4,382.3 4,119.2 263.1 6.0 4,384.1 4,122.6 261.5 6.0 4,380.3 4,119.6 260.7 6.0 4,404.8 4,161.1 243.7 5.5 868.0 822.4 45.6 5.3 870.3 823.5 46.8 5.4 872.3 825.0 47.3 5.4 873.9 826.1 47.7 5.5 875.8 827.7 48.2 5.5 877.7 829.2 48.5 5.5 880.1 831.1 48.9 5.6 879.8 831.5 48.2 5.5 880.3 831.9 48.4 5.5 883.4 835.1 48.3 5.5 884.8 836.6 48.2 5.4 885.0 837.2 47.8 5.4 890.6 838.8 51.7 5.8 9,236.5 8,695.8 540.8 5.9 9,271.1 8,718.6 552.5 6.0 9,299.3 8,738.0 561.2 6.0 9,323.6 8,755.8 567.9 6.1 9,349.8 8,775.4 574.4 6.1 9,367.8 8,791.8 576.0 6.1 9,380.6 8,803.4 577.2 6.2 9,392.8 8,821.3 571.5 6.1 9,401.1 8,833.8 567.3 6.0 9,428.4 8,845.9 582.5 6.2 9,441.8 8,847.8 594.0 6.3 9,455.3 8,849.1 606.2 6.4 9,349.2 8,762.7 586.4 6.3 Apr. Michigan 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 New Jersey Civilian labor force Employed Unemployed Unemployment rate New Mexico Civilian labor force Employed Unemployed Unemployment rate New York Civilian labor force Employed Unemployed Unemployment rate (Numbers in thousands) 2002 2003 State Jan. Feb. Mar. 4,204.0 3,914.1 289.9 6.9 4,187.0 3,903.6 283.4 6.8 4,179.4 3,892.3 287.2 6.9 4,188.6 3,898.6 290.0 6.9 4,179.2 3,894.1 285.1 6.8 4,174.6 3,889.1 285.5 6.8 4,166.9 3,883.8 283.1 6.8 4,156.5 3,883.5 273.0 6.6 4,155.0 3,881.2 273.9 6.6 4,158.9 3,884.9 274.0 6.6 4,157.3 3,882.1 275.2 6.6 4,152.0 3,874.1 278.0 6.7 4,166.9 3,916.2 250.7 6.0 346.6 333.7 12.8 3.7 346.2 333.2 13.1 3.8 346.0 332.6 13.4 3.9 346.4 332.2 14.2 4.1 346.3 331.8 14.4 4.2 345.5 331.8 13.6 3.9 344.9 330.7 14.2 4.1 345.4 331.3 14.1 4.1 346.4 331.7 14.6 4.2 346.8 332.0 14.8 4.3 347.5 332.5 15.0 4.3 346.2 332.7 13.5 3.9 350.0 337.6 12.4 3.5 5,855.4 5,540.1 315.3 5.4 5,855.4 5,527.7 327.7 5.6 5,856.2 5,516.6 339.5 5.8 5,857.0 5,508.5 348.5 5.9 5,843.8 5,501.7 342.1 5.9 5,825.2 5,490.6 334.6 5.7 5,824.5 5,491.1 333.4 5.7 5,814.0 5,486.0 328.1 5.6 5,810.7 5,483.2 327.5 5.6 5,809.9 5,481.9 328.0 5.6 5,800.0 5,476.8 323.2 5.6 5,788.5 5,465.0 323.4 5.6 5,873.8 5,549.7 324.2 5.5 1,689.9 1,615.3 74.6 4.4 1,692.5 1,616.6 75.9 4.5 1,694.7 1,618.1 76.6 4.5 1,696.6 1,618.4 78.3 4.6 1,697.9 1,621.0 77.0 4.5 1,691.3 1,617.3 74.0 4.4 1,681.1 1,605.6 75.5 4.5 1,690.8 1,615.3 75.5 4.5 1,693.0 1,616.9 76.2 4.5 1,695.7 1,619.2 76.C 4.5 1,695.6 1,618.8 76.8 4.5 1,698.7 1,619.0 79.6 4.7 1,704.0 1,619.4 84.5 5.0 1,830.9 1,676.9 154.0 8.4 1,829.0 1,681.1 147.9 8.1 1,829.9 1,684.6 145.3 7.9 1,834.4 1,692.0 142.4 7.8 1,829.0 1,693.9 135.1 7.4 1,834.0 1,698.2 135.8 7.4 1,833.5 1,698.1 135.4 7.4 1,835.8 1,704.1 131.7 7.2 1,832.6 1,701.5 131.1 7.2 1,837.1 1,704.9 132.2 7.2 1,840.2 1,705.0 135.2 7.3 1,836.0 1,702.5 133.5 7.3 1,848.1 1,708.7 139.4 7.5 6,277.7 5,926.6 351.1 5.6 6,264.3 5,920.2 344.1 5.5 6,269.8 5,924.5 345.3 5.5 6,278.1 5,931.2 346.9 5.5 6,282.5 5,933.4 349.1 5.6 6,284.4 5,934.7 349.7 5.6 6,290.2 5,935.0 355.2 5.6 6,297.1 5,940.4 356.7 5.7 6,299.2 5,941.8 357.4 5.7 6,305.1 5,943.4 361.7 5.7 6,309.9 5,940.2 369.7 5.9 6,320.1 5,935.7 384.4 6.1 6,269.0 5,885.7 383.4 6.1 550.3 523.2 27.1 4.9 551.0 524.3 26.7 4.9 552.7 525.8 26.9 4.9 552.7 525.5 27.3 4.9 553.7 526.8 27.0 4.9 555.1 528.5 26.6 4.8 557.6 530.1 27.5 4.9 559.2 530.5 28.7 5.1 559.8 530.4 29.4 5.3 560.8 530.6 30.2 5.4 562.6 532.1 30.4 5.4 561.5 530.6 30.8 5.5 573.4 543.9 29.5 5.1 1,952.1 1,835.9 116.2 6.0 1,954.5 1,838.8 115.7 5.9 1,960.9 1,842.0 118.9 6.1 1,963.1 1,846.8 116.3 5.9 1,962.9 1,848.5 114.4 5.8 1,966.5 1,852.0 114.5 5.8 1,967.8 1,854.6 113.2 5.8 1,972.2 1,857.3 114.9 5.8 1,974.7 1,858.0 116.7 5.9 1,978.8 1,859.9 118.8 6.0 1,986.3 1,860.9 125.4 6.3 1,982.2 1,859.7 122.5 6.2 2,031.4 1,903.5 127.9 6.3 416.6 401.5 15.0 3.6 417.0 402.6 14.5 3.5 418.2 403.8 14.4 3.4 419.0 405.2 13.9 3.3 419.7 406.6 13.1 3.1 420.5 408.0 12.6 3.0 421.9 409.3 12.6 3.0 422.3 410.0 12.3 2.9 422.8 410.6 12.2 2.9 424.2 412.1 12.2 2.9 424.2 412.2 12.0 2.8 424.6 412.6 12.0 2.8 419.8 406.8 13.0 3.1 2,910.5 2,750.4 160.1 5.5 2,910.5 2,755.2 155.3 5.3 2,915.5 2,758.2 157.3 5.4 2,927.0 2,770.8 156.2 5.3 2,927.4 2,775.8 151.6 5.2 2,930.0 2,779.4 150.6 5.1 2,935.0 2,786.2 148.8 5.1 2,929.0 2,787.6 141.4 4.8 2,932.2 2,788.7 143.4 4.9 2,935.6 2,790.1 145.6 5.0 2,933.6 2,789.1 144.6 4.9 2,929.9 2,785.6 144.3 4.9 2,887.9 2,754.9 133.0 4.6 10,676.3 10,029.8 646.5 6.1 10,687.3 10,028.9 658.4 6.2 10,705.1 10,036.0 669.2 6.3 10,729.5 10,048.8 680.7 6.3 10,750.2 10,061.6 688.6 6.4 10,727.3 10,063.0 664.4 6.2 10,755.8 10,070.1 685.7 6.4 10,770.7 10,081.4 689.3 6.4 10,781.8 10,090.6 691.1 6.4 10,809.2 10,107.8 701.3 6.5 10,812.3 10,110.9 701.4 6.5 10,807.3 10,107.6 699.7 6.5 10,892.7 10,193.9 698.8 6.4 Apr. May June July Aug. Sept. Oct. Nov. Dec. Jan.P North Carolina Civilian labor force Employed Unemployed Unemployment rate North Dakota Civilian labor force Employed Unemployed Unemployment rate Ohio Civilian labor force Employed Unemployed Unemployment rate Oklahoma Civilian labor force Employed Unemployed Unemployment rate Oregon Civilian labor force Employed Unemployed Unemployment rate Pennsylvania Civilian labor force Employed Unemployed Unemployment rate Rhode Island Civilian labor force Employed Unemployed Unemployment rate South Carolina Civilian labor force Employed Unemployed Unemployment rate South Dakota Civilian labor force Employed Unemployed Unemployment rate Tennessee Civilian labor force Employed Unemployed Unemployment rate Texas Civilian labor force Employed Unemployed Unemployment rate (Numbers in thousands) 2003 2002 State Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 1.177.7 1.107.8 69.9 5.9 1,181.5 1,109.3 72.2 6.1 1,178.3 1,105.2 73.1 6.2 1,181.1 1,106.5 74.6 6.3 1,179.1 1,106.1 73.0 6.2 1,174.9 1,106.0 68.9 5.9 1,179.5 1,107.9 71.7 6.1 1,178.9 1,108.2 70.7 6.0 1,180.7 1,108.0 72.7 6.2 1,182.2 1,109.9 72.2 6.1 1,183.5 1,110.2 73.3 6.2 1,184.1 1,110.1 74.0 6.3 345.5 332.6 12.9 3.7 345.2 332.3 13.0 3.8 346.3 333.0 13.3 3.8 347.1 334.1 13.1 3.8 348.1 335.0 13.1 3.8 349.5 336.5 13.0 3.7 349.2 336.0 13.2 3.8 349.6 336.3 13.3 3.8 349.8 336.9 13.0 3.7 350.7 337.8 12.8 3.7 351.3 338.4 12.9 3.7 351.9 338.7 13.2 3.7 3,725.4 3,566.3 159.1 4.3 3,731.0 3,571.0 159.9 4.3 3,731.5 3,573.5 158.0 4.2 3,743.4 3,577.8 165.7 4.4 3,738.4 3,581.1 157.4 4.2 3.730.1 3.583.2 146.9 3.9 3,736.6 3,585.8 150.8 4.0 3,737.2 3,587.9 149.3 4.0 3,737.0 3,591.0 146.1 3.9 3,739.9 3,595.3 144.6 3.9 3,740.8 3,595.2 145.7 3.9 3,734.4 3,590.7 143.7 3.8 3,048.2 2,821.5 226.6 7.4 3,056.4 2,833.9 222.6 7.3 3,069.2 2,839.8 229.4 7.5 3,088.6 2,851.8 236.8 7.7 3,090.0 2,861.2 228.8 7.4 3.096.4 2.869.5 227.0 7.3 3,107.5 2,879.1 228.4 7.3 3,109.9 2,885.5 224.5 7.2 3,119.0 2,893.0 226.0 7.2 3,129.0 2,907.2 221.8 7.1 3,124.6 2,904.6 220.0 7.0 3,124.6 2,905.6 219.0 7.0 816.5 771.2 45.3 5.5 813.5 767.3 46.2 5.7 811.5 763.4 48.1 5.9 809.0 759.7 49.3 6.1 813.3 762.9 50.5 6.2 802.5 752.1 50.5 6.3 802.2 751.5 50.8 6.3 800.2 750.5 49.7 6.2 798.9 749.0 49.9 6.2 796.7 747.1 49.7 6.2 793.7 744.8 48.8 6.2 792.4 744.3 48.1 6.1 3,035.9 2,871.4 164.5 5.4 3,037.7 2,865.1 172.5 5.7 3,037.9 2,864.5 173.4 5.7 3,029.7 2,862.3 167.5 5.5 3,023.2 2,863.7 159.5 5.3 3,021.0 2,860.0 161.0 5.3 3,023.4 2,860.2 163.2 5.4 3,023.6 2,856.5 167.1 5.5 3,020.3 2,855.0 165.3 5.5 3,027.2 2,861.0 166.2 5.5 3,025.8 2,857.6 168.2 5.6 3,027.9 2,854.5 173.4 5.7 271.6 260.5 11.0 4.1 271.1 260.0 11.1 4.1 270.8 259.5 11.3 4.2 271.1 259.3 11.8 4.4 270.5 259.2 11.3 4.2 270.0 258.8 11.2 4.1 269.8 258.6 11.2 4.1 269.4 258.3 11.1 4.1 269.6 258.3 11.4 4.2 269.5 258.1 11.4 4.2 270.0 258.3 11.6 4.3 270.1 258.3 11.8 4.4 1,327.0 1,177.0 150.0 11.3 1,362.8 1,183.6 179.2 13.1 1.353.1 1.185.2 167.8 12.4 1,356.3 1,190.1 166.1 12.2 1,350.0 1,184.0 166.1 12.3 1,362.2 1,189.5 172.8 12.7 1,355.6 1,184.8 170.8 12.6 1,365.3 1,198.5 166.8 12.2 1,366.4 1,200.0 166.4 12.2 1,361.7 1,201.6 160.0 11.8 1,361.1 1,198.4 162.7 12.0 1,352.6 1,186.4 166.2 12.3 Utah 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 labor 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 Unemployed Unemployment rate Puerto Rico Civilian labor force Employed Unemployed Unemployment rate P = preliminary. NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Data have been revised to incorporate population controls reflecting the results of Census 2000, the reestimation of models, benchmarking to Current Population Survey annual averages, and new seasonal adjustment factors. C-3. Labor force status by State and metropolitan area (Numbers in thousands) Unemployed Civilian labor force Number State and area Dec. 2002 120.2 2.8 2.0 20.3 4.8 2.9 5.6 2.8 7.7 16.0 7.7 2.9 5.9 6.1 3.9 3.9 7.2 4.9 10.4 6.5 4.4 6.1 4.2 3.6 5.5 5.0 3.7 4.3 6.4 4.1 8.5 5.6 4.1 5.7 4.7 3.2 5.6 5.3 3.8 4.2 6.6 4.4 9.0 5.9 4.4 5.9 4.7 3.4 27.7 8.7 28.9 8.9 8.6 5.5 8.6 5.8 8.6 5.8 159.0 4.7 103.2 21.0 9.1 152.5 4.2 95.4 19.9 12.8 145.1 4.7 91.4 18.6 10.2 6.1 6.9 5.8 4.9 14.1 5.7 6.1 5.3 4.6 17.8 5.5 6.9 5.2 4.4 15.3 1,275.8 166.6 99.8 44.9 311.3 36.8 81.4 4.5 5.2 2.6 15.1 3.4 66.7 4.1 4.8 1.9 13.2 3.1 76.0 4.5 5.5 2.1 14.6 3.4 6.6 2.9 5.4 5.9 5.0 9.4 5.2 2.4 4.8 4.2 4.2 8.5 6.0 2.7 5.5 4.8 4.7 9.2 17,459.4 298.3 91.4 459.4 4,716.6 91.7 218.0 1,303.0 1,573.5 82.4 1,670.8 871.6 198.2 1,478.9 925.8 938.0 122.3 204.6 140.2 265.3 275.3 280.8 424.2 178.0 95.4 59.6 17,458.9 299.4 90.8 460.3 4,679.6 92.5 217.8 1,305.9 1,570.8 83.3 1,676.0 877.4 200.5 1,483.3 928.6 937.0 122.5 204.4 142.2 265.4 278.1 283.1 424.4 178.1 96.3 60.1 1,201.3 37.5 8.2 71.2 322.1 15.4 26.9 76.1 62.2 7.4 90.7 45.5 32.0 60.3 56.3 78.7 4.1 9.7 15.0 12.0 31.3 14.9 23.7 31.6 6.0 9.0 1,152.9 39.5 7.2 70.1 289.1 14.1 25.7 77.2 60.8 5.9 94.6 45.1 29.5 62.5 51.0 77.8 4.5 10.2 13.7 11.9 29.4 15.4 24.7 30.3 5.6 8.3 1,229.6 40.5 8.4 77.0 310.5 16.1 27.9 82.2 62.2 7.7 96.8 49.4 33.4 64.6 53.4 80.6 4.4 10.0 15.9 13.4 31.9 17.0 23.8 31.5 6.5 9.5 7.0 12.8 9.2 16.1 6.9 17.9 12.8 6.0 4.0 9.3 5.6 5.3 16.4 4.2 6.0 8.1 3.4 4.8 10.7 4.5 11.6 5.5 5.6 18.3 6.4 15.6 6.6 13.2 7.9 15.3 6.1 15.4 11.8 5.9 3.9 7.2 5.7 5.2 14.9 4.2 5.5 8.3 3.7 5.0 9.8 4.5 10.7 5.5 5.8 17.0 5.9 13.9 7.0 13.5 9.3 16.7 6.6 17.4 12.8 6.3 4.0 9.2 5.8 5.6 16.7 4.4 5.8 8.6 3.6 4.9 11.2 5.1 11.5 6.0 5.6 17.7 6.8 15.8 2,393.0 196.5 275.0 1,195.2 149.7 62.1 93.7 61.4 2,435.3 197.7 281.7 1,211.1 156.4 65.0 97.7 62.1 2,423.4 174.2 279.5 1,234.6 152.3 64.1 95.5 61.4 146.6 11.6 19.3 73.6 8.4 3.7 6.1 5.1 138.9 10.5 17.8 71.0 8.2 3.3 6.1 4.4 142.5 9.7 17.8 73.0 8.6 3.9 6.4 4.7 6.1 5.9 7.0 6.2 5.6 6.0 6.5 8.3 5.7 5.3 6.3 5.9 5.2 5.1 6.3 7.1 5.9 5.6 6.4 5.9 5.7 6.1 6.7 7.7 1,741.1 220.7 111.5 595.0 279.0 161.1 190.4 115.3 1,768.8 224.7 116.3 603.7 286.5 165.1 189.5 116.1 1,757.8 223.5 115.0 600.8 282.0 164.1 187.5 117.8 79.4 12.7 4.0 27.5 11.8 6.0 6.6 7.5 75.5 11.5 3.4 27.7 11.5 6.2 5.6 6.7 94.0 14.2 4.2 34.8 14.2 7.7 6.5 8.5 4.6 5.7 3.6 4.6 4.2 3.8 3.5 6.5 4.3 5.1 2.9 4.6 4.0 3.8 3.0 5.8 5.3 6.4 3.6 5.8 5.0 4.7 3.4 7.2 424.2 74.2 317.8 420.5 74.5 309.9 418.1 73.2 309.7 19.9 3.3 15.6 16.2 2.8 12.1 17.3 3.0 14.4 4.7 4.4 4.9 3.8 3.8 3.9 4.1 4.0 4.7 Dec. 2002 Dec. 2002 Jan. 2003P 2,091.6 51.6 49.8 469.8 72.4 65.1 64.6 46.7 174.4 263.6 161.1 83.4 2,100.8 51.9 52.0 470.7 72.1 65.6 61.9 47.7 175.6 266.3 161.3 84.6 2,133.6 52.4 52.4 479.1 72.4 66.2 62.1 47.8 177.1 270.8 163.8 85.6 123.0 3.1 - 1.9 18.6 5.2 3.2 6.7 3.0 7.6 16.0 6.8 3.0 115.8 2.6 1.9 20.0 4.6 2.7 5.2 2.7 7.2 15.3 7.7 2.7 315.0 144.8 322.1 149.9 334.3 154.0 27.2 8.0 Arizona Flagstaff Phoenix-Mesa Tucson Yuma 2,624.5 67.9 1,766.7 426.3 64.1 2,680.1 68.4 1,798.0 432.8 72.0 2,642.2 68.3 1,774.1 426.3 66.7 Arkansas Fayetteville-Springdale-Rogers Fort Smith Jonesboro Little Rock-North Little Rock Pine Bluff 1,240.5 157.0 97.2 43.4 303.0 35.7 1,280.4 168.6 99.7 45.0 312.1 36.9 17,214.1 291.8 89.1 442.9 4,646.1 86.4 210.0 1,278.4 1,546.7 79.5 1,620.4 854.8 195.2 1,452.4 946.0 977.5 119.4 201.0 140.8 263.2 268.8 270.5 422.3 173.1 94.0 58.0 Colorado Boulder-Longmont1 Colorado Springs Denver1 Fort Collins-Loveland Grand Junction Greeley Pueblo Connecticut Bridgeport Danbury Hartford New Haven-Meriden New London-Norwich Stamford-Norwalk Waterbury 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 Yuba City Delaware Dover Wilmington-Newark Jan. 2003P Jan. 2002 Jan. 2002 Jan. 2002 Alabama Anniston Auburn-Opelika Birmingham Decatur Dothan Florence Gadsden Huntsville Mobile Montgomery Tuscaloosa Percent of labor force Jan. 2003P (Numbers in thousands) Unemployed Civilian labor force Percent of labor force Number State and area Jan. 2002 Dec. 2002 Jan. 2003P 19.0 98.2 6.8 3.9 6.2 3.2 6.4 3.5 399.2 10.6 47.0 8.4 8.7 2.7 2.5 27.7 11.3 11.3 77.8 4.8 4.7 44.4 4.8 7.0 2.2 9.5 5.3 56.6 29.4 448.8 12.0 52.5 9.4 9.0 3.2 2.9 31.4 12.4 12.7 86.8 5.0 5.1 51.2 5.6 8.2 2.7 11.2 5.9 64.0 32.6 6.0 5.9 6.5 3.9 6.7 4.5 2.9 5.6 5.9 5.9 8.7 3.7 5.6 6.3 8.8 5.0 4.3 3.8 3.7 4.9 6.0 5.0 5.0 5.5 4.0 6.1 3.1 2.3 4.7 5.1 5.2 7.0 3.9 4.6 4.7 7.1 4.0 3.8 3.3 3.4 4.3 5.0 5.6 5.7 6.1 4.5 6.4 3.7 2.6 5.4 5.7 5.9 7.8 4.1 4.9 5.4 8.2 4.7 4.5 3.8 3.9 4.9 5.6 200.8 3.0 2.3 111.3 10.1 6.5 5.6 4.9 219.4 2.9 2.4 125.2 11.2 6.9 6.9 5.7 193.7 2.6 2.1 112.0 10.1 6.5 6.0 4.9 4.8 5.6 3.1 4.8 5.0 5.1 3.7 3.6 5.1 5.2 3.1 5.2 5.3 5.5 4.4 4.0 4.5 4.7 2.8 4.7 4.9 5.1 3.8 3.4 597.0 421.8 28.9 19.1 21.0 13.5 21.9 14.2 4.9 4.6 3.6 3.3 3.7 3.4 680.6 250.0 39.1 681.6 249.2 38.9 48.2 14.7 3.1 43.7 14.2 2.4 47.8 14.9 2.5 7.1 5.9 7.6 6.4 5.7 6.0 7.0 6.0 6.6 6,350.0 94.8 97.2 4,257.2 187.3 56.8 52.6 181.1 197.2 107.6 6,349.1 95.7 101.6 4,263.8 187.5 55.9 52.9 180.6 197.1 107.2 6,332.0 95.3 98.2 4,249.8 187.5 55.9 53.0 181.5 198.3 107.7 435.0 2.9 3.4 291.9 12.3 5.0 4.2 10.4 16.7 5.2 407.7 2.6 3.0 280.2 9.5 4.2 3.9 10.0 15.5 4.9 448.5 3.1 3.6 302.1 12.1 4.6 4.5 11.6 17.3 5.8 6.9 3.0 3.5 6.9 6.6 8.8 7.9 5.7 8.5 4.8 6.4 2.7 3.0 6.6 5.1 7.5 7.4 5.6 7.9 4.6 7.1 3.3 3.7 7.1 6.4 8.3 8.4 6.4 8.7 5.4 Indiana Bioomington Elkhart-Goshen Evansville-Henderson Fort Wayne Gary Indianapolis Kokomo Lafayette Muncie South Bend Terre Haute 3,114.7 63.2 92.4 163.1 266.4 302.1 874.4 50.0 93.4 60.5 134.8 70.4 3,160.0 63.6 96.5 163.4 271.0 298.3 881.8 50.6 96.0 60.6 137.5 70.9 3,145.9 62.8 97.9 163.6 272.2 297.3 883.6 51.0 93.1 61.0 137.7 70.8 183.6 2.6 6.6 7.5 15.2 23.0 40.2 3.3 4.0 3.6 8.0 4.8 152.8 1.9 4.3 7.0 13.4 16.4 39.5 2.8 3.4 3.1 6.4 3.7 168.5 2.3 4.5 7.3 14.2 17.6 42.2 3.1 3.9 3.9 6.8 4.3 5.9 4.1 7.2 4.6 5.7 7.6 4.6 6.7 4.2 6.0 5.9 6.8 4.8 3.0 4.4 4.3 4.9 5.5 4.5 5.6 3.5 5.1 4.6 5.2 5.4 3.7 4.6 4.5 5.2 5.9 4.8 6.1 4.2 6.4 4.9 6.1 Iowa Cedar Rapids Des Moines Dubuque Iowa City Sioux City Waterloo-Cedar Falls 1,643.2 118.7 271.6 50.3 73.8 65.2 71.1 1,670.8 120.6 278.9 50.4 77.8 67.4 72.9 1,643.9 119.0 276.0 50.2 76.4 66.6 72.2 77.9 5.4 10.3 2.6 2.3 2.8 3.5 69.1 5.4 10.1 1.9 2.3 2.8 3.3 81.3 6.2 11.4 2.5 2.5 3.0 3.8 4.7 4.6 3.8 5.2 3.1 4.4 4.9 4.1 4.4 3.6 3.8 2.9 4.2 4.5 4.9 5.2 4.1 5.0 3.3 4.5 5.2 Kansas Lawrence Topeka Wichita 1,388.8 57.1 89.7 283.1 1,420.4 58.1 91.3 289.5 1,459.8 59.6 93.4 299.1 76.7 2.8 4.0 16.2 67.6 2.4 3.8 17.7 76.1 2.7 4.1 20.5 5.5 5.0 4.4 5.7 4.8 4.1 4.1 6.1 5.2 4.5 4.4 6.8 Jan. 2002 Dec. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 304.2 2,786.1 299.5 2,801.4 297.2 2,824.8 20.8 108.7 18.5 89.4 7,966.3 209.7 850.4 204.9 138.3 84.8 110.6 578.6 218.1 219.2 1,114.6 115.2 102.9 941.6 67.3 175.1 55.6 288.3 152.2 1,299.9 572.8 8,043.2 212.3 858.5 210.1 141.6 86.4 110.9 582.8 219.5 217.6 1,113.2 121.4 102.9 949.8 67.1 174.6 57.7 290.9 154.8 1,316.3 583.3 8,013.3 212.0 854.6 209.9 141.0 85.4 109.6 579.3 218.8 216.3 1,109.4 122.6 103.0 944.2 67.6 174.1 58.6 291.5 151.6 1,309.5 583.6 474.9 12.3 55.0 8.1 9.3 3.8 3.2 32.4 12.9 12.9 96.7 4.3 5.8 59.6 5.9 8.8 2.4 11.1 5.6 63.8 34.3 4,209.7 54.0 74.0 2,341.4 204.0 125.5 151.5 137.3 4,340.5 56.5 77.3 2,398.4 209.3 126.3 157.7 144.3 4,306.7 55.7 76.5 2,379.5 208.3 126.5 157.0 143.7 Hawaii Honolulu 588.9 416.7 583.7 414.4 Idaho Boise City Pocatello 675.8 248.8 40.1 Illinois Bloomington-Normal Champaign-Urbana Chicago Davenport-Moline-Rock Island Decatur Kankakee Peoria-Pekin Rockford Springfield District of Columbia Washington Daytona Beach Fort Lauderdale Fort Myers-Cape Coral Fort Pierce-Port St. Lucie Fort Walton Beach Gainesville Jacksonville Lakeland-Winter Haven Melbourne-Titusville-Palm Bay Miami Naples Ocala Orlando Panama City Pensacola Punta Gorda Sarasota-Bradenton Tallahassee Tampa-St. Petersburg-Clearwater West Palm Beach-Boca Raton Georgia Albany Athens Atlanta Augusta-Aiken Columbus Macon Savannah Jan. 2003P C-3o Labor force status by State and metropolitan area—Continued (Numbers in thousands) Unemployed Civilian labor force Percent of labor force Number State and area Jan. 2002 Dec. 2002 123.0 11.2 29.6 3.1 6.8 4.7 5.8 6.6 5.2 3.5 4.9 5.4 6.3 4.4 5.3 6.3 121.0 3.4 16.9 3.4 9.3 5.0 3.8 31.4 12.3 127.4 3.4 17.8 3.7 9.7 5.3 4.1 31.9 13.1 7.2 6.8 6.2 4.5 6.5 5.9 5.8 5.8 10.6 6.1 5.7 5.7 3.5 5.3 5.8 5.3 5.4 6.9 6.3 5.8 5.9 3.8 5.4 6.1 5.7 5.4 7.2 34.5 1.8 2.5 4.0 31.6 1.7 2.3 3.6 38.1 2.0 2.7 4.2 5.1 3.4 4.5 2.9 4.6 3.1 4.2 2.6 5.6 3.8 4.9 3.0 2,896.3 1,343.9 44.4 72.1 141.0 71.7 4.1 4.5 113.5 58.3 2.7 2.9 130.0 67.1 3.4 3.8 4.9 5.4 9.2 6.3 4.0 4.4 6.0 4.1 4.5 5.0 7.6 5.2 3,494.0 80.2 1,926.7 146.0 72.5 221.8 183.0 85.4 42.1 305.7 267.8 3,427.2 78.5 1,890.4 142.8 72.7 220.4 178.9 85.4 41.7 297.7 262.9 189.3 4.9 92.0 7.6 5.1 17.4 11.8 7.2 2.3 16.1 15.6 177.4 3.9 87.9 7.1 5.0 16.9 t1.1 6.2 2.1 15.7 15.1 199.0 5.1 94.8 8.1 5.4 17.7 12.1 7.8 2.5 18.2 16.9 5.5 6.5 4.8 5.5 7.2 7.9 6.4 8.6 5.6 5.5 5.9 5.1 4.9 4.6 4.9 6.9 7.6 6.1 7.2 4.9 5.1 5.6 5.8 6.5 5.0 5.7 7.4 8.0 6.8 9.1 6.0 6.1 6.4 4,997.6 310.8 78.9 2,226.8 191.1 603.9 77.6 227.9 247.3 196.4 4,929.1 308.8 78.1 2,180.3 181.5 601.7 79.0 225.0 246.9 197.7 5,028.3 311.8 80.8 2,236.2 182.5 614.9 80.1 226.3 251.2 201.1 359.6 13.3 5.9 148.2 21.8 41.8 5.6 13.6 11.2 15.1 286.3 9.8 4.4 123.6 14.0 36.5 5.0 11.6 9.3 12.3 362.0 12.5 5.5 154.2 17.9 45.5 6.1 14.6 11.6 16.4 7.2 4.3 7.4 6.7 11.4 6.9 7.2 6.0 4.5 7.7 5.8 3.2 5.6 5.7 7.7 6.1 6.3 5.2 3.8 6.2 7.2 4.0 6.9 6.9 9.8 7.4 7.6 6.4 4.6 8.1 Minnesota Duluth-Superior Minneapolis-St.Paul Rochester St. Cloud 2,877.7 130.9 1,814.0 81.8 105.3 2,888.1 131.2 1,828.9 80.9 104.5 2,870.9 132.2 1,814.6 82.5 105.0 149.1 8.2 82.4 3.1 5.8 115.8 5.8 68.8 2.6 4.6 147.3 7.8 82.8 3.4 6.1 5.2 6.3 4.5 3.8 5.5 4.0 4.4 3.8 3.2 4.4 5.1 5.9 4.6 4.1 5.8 Mississippi Biloxi-Gulfport-Pascagoula Hattiesburg Jackson 1,293.6 172.2 53.8 231.3 1,304.4 169.2 54.8 235.6 1,314.1 174.5 56.0 230.9 92.6 9.3 2.4 10.4 84.7 8.7 2.3 10.5 92.5 9.1 2.4 11.3 7.2 5.4 4.4 4.5 6.5 5.1 4.2 4.5 7.0 5.2 4.2 4.9 Missouri Columbia Joplin Kansas City St. Joseph St. Louis LMA Springfield 2,994.9 90.4 84.9 996.0 54.1 1,375.7 174.2 2,958.3 88.6 82.8 1,000.3 52.3 1,372.0 175.7 2,937.3 86.2 80.4 1,008.3 51.4 1,380.8 178.7 178.8 2.1 4.1 58.2 3.5 79.9 8.1 160.1 1.8 4.5 55.7 3.0 76.1 7.2 168.6 1.8 4.3 56.8 3.2 78.4 7.5 6.0 2.3 4.8 5.8 6.5 5.8 4.7 5.4 2.0 5.5 5.6 5.7 5.5 ' 4.1 5.7 2.1 5.3 5.6 6.2 5.7 4.2 Montana Billings Great Falls Missoula 455.3 67.5 36.2 52.0 460.3 68.4 37.3 53.3 463.7 69.5 36.9 53.4 25.9 2.9 1.8 2.6 23.5 2.5 1.7 2.3 24.6 2.6 1.8 2.5 5.7 4.3 5.1 5.0 5.1 3.6 4.6 4.4 5.3 3.8 4.8 4.7 Nebraska Lincoln Omaha 945.3 148.5 407.2 956.7 155.4 419.4 966.8 157.2 424.2 37.8 5.4 16.7 32.4 4.6 15.1 37.1 5.6 17.2 4.0 3.6 4.1 3.4 3.0 3.6 3.8 3.6 4.1 Jan. 2002 Dec. 2002 Jan. 2002 Dec. 2002 Jan. 2003P Kentucky Lexington Louisville Owensboro 1,957.9 251.4 556.9 48.6 1,954.1 252.8 556.9 48.7 1,963.0 253.4 560.3 49.1 133.9 11.9 32.4 3.2 101.4 8.9 27.3 2.6 Louisiana Alexandria Baton Rouge Houma Lafayette Lake Charles Monroe New Orleans Shreveport-Bossier City 1,997.7 58.3 296.4 93.4 175.5 88.4 72.0 592.5 183.5 1,983.2 58.6 298.0 96.7 175.4 86.0 71.7 584.0 178.3 2,017.2 59.7 302.0 98.4 178.2 88.0 71.9 593.7 181.8 142.9 3.9 18.3 4.2 11.4 5.2 4.2 34.6 19.4 671.6 52.3 54.6 137.7 680.8 53.6 54.1 140.9 684.3 53.7 55.4 141.4 Maryland Baltimore Cumberland Hagerstown 2,854.5 1,330.4 44.2 71.2 2,873.6 1,330.9 44.8 70.9 Massachusetts Barnstable-Yarmouth Boston Brockton Fitchburg-Leominster Lawrence Lowell New Bedford Pittsfield Springfield Worcester 3,423.8 75.2 1,899.8 138.7 70.8 221.1 183.7 84.2 40.9 291.6 265.3 Michigan Ann Arbor Benton Harbor Detroit Flint Grand Rapids-Muskegon-Holland Jackson Kalamazoo-Battle Creek Lansing-East Lansing Saginaw-Bay City-Midland Maine Bangor Lewiston-Auburn Portland Jan. 2003P Jan. 2003P (Numbers in thousands) Unemployed Civilian labor force Number State and area Jan. 2002 Dec. 2002 Percent of labor force Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P Jan. 2002 Dec. 2002 Jan. 2003P 1,115.9 881.0 197.1 1,109.1 877.3 197.7 1,106.9 877.8 195.1 80.9 64.0 12.3 53.6 44.1 7.5 63.0 48.7 10.4 7.3 7.3 6.3 4.8 5.0 3.8 5.7 5.6 5.3 695.8 112.5 107.4 128.6 704.2 113.8 108.2 134.9 711.8 115.7 110.0 133.5 33.4 5.2 6.7 5.6 33.7 5.3 6.7 6.0 34.8 5.7 6.8 5.8 4.8 4.7 6.2 4.4 4.8 4.7 6.2 4.5 4.9 4.9 6.1 4.3 4,315.6 168.7 677.3 301.0 669.2 546.4 1,052.6 186.6 64.5 4,374.2 176.0 681.1 295.2 679.9 565.2 1,066.5 186.1 65.7 4,365.2 176.3 679.8 295.7 677.0 560.7 1,064.0 186.6 65.7 248.6 15.7 38.7 23.5 31.0 30.4 61.8 8.8 6.0 248.3 14.4 37.3 23.1 32.1 30.1 62.2 9.3 5.6 257.8 16.0 38.1 22.4 32.2 31.9 64.1 9.5 6.1 5.8 9.3 5.7 7.8 4.6 5.6 5.9 4.7 9.2 5.7 8.2 5.5 7.8 4.7 5.3 5.8 5.0 8.5 5.9 9.1 5.6 7.6 4.8 5.7 6.0 5.1 9.2 860.1 379.6 73.4 76.1 882.1 389.8 75.7 79.3 882.7 390.2 76.6 79.8 47.4 17.2 5.4 2.1 44.0 16.8 4.1 2.0 53.5 19.7 5.6 2.4 5.5 4.5 7.4 2.7 5.0 4.3 5.4 2.5 6.1 5.1 7.3 3.0 New York Albany-Schenectady-Troy Binghamton Buffalo-Niagara Falls Dutchess County Elmira Glens Falls Jamestown Nassau-Suffolk New York New York City Newburgh Rochester Syracuse Utica-Rome 9,183.1 458.9 126.0 568.0 126.2 43.3 58.3 65.4 1,436.2 4,340.1 3,677.5 183.7 570.6 365.2 143.1 9,440.3 473.3 126.1 576.5 131.1 43.1 59.1 66.1 1,490.8 4,476.4 3,789.9 188.3 578.5 375.9 147.2 9,295.6 471.5 126.3 576.6 129.8 43.6 59.8 65.9 1,468.6 4,367.6 3,685.0 189.1 570.3 375.9 146.6 595.1 21.3 8.7 39.1 5.6 3.3 4.2 4.8 64.7 314.0 285.5 9.2 36.8 23.6 8.8 591.6 17.8 7.8 35.5 5.0 2.8 3.5 4.2 60.9 340.5 314.7 7.7 34.5 21.1 7.9 640.9 20.9 8.6 38.5 5.6 3.0 4.1 4.5 66.5 362.5 334.4 8.9 37.3 23.4 8.8 6.5 4.6 6.9 6.9 4.4 7.5 7.1 7.3 4.5 7.2 7.8 5.0 6.4 6.5 6.1 6.3 3.8 6.2 6.2 3.8 6.6 6.0 6.3 4.1 7.6 8.3 4.1 6.0 5.6 5.4 6.9 4.4 6.8 6.7 4.4 7.0 6.9 6.9 4.5 8.3 9.1 4.7 6.5 6.2 6.0 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 4,158.5 117.2 851.9 126.7 51.7 681.0 71.6 184.2 51.2 691.8 71.4 123.3 4,112.8 116.8 851.0 126.4 51.0 671.4 71.7 174.8 50.3 693.8 69.1 121.0 4,121.9 117.8 858.9 127.2 51.4 675.6 71.6 175.6 50.6 700.2 69.2 122.4 311.2 5.9 59.8 8.9 3.3 43.5 4.8 17.9 3.1 34.9 7.5 9.2 263.2 4.5 50.2 7.2 2.9 39.4 4.2 14.9 3.0 34.2 6.5 7.8 272.3 5.3 52.8 7.4 2.9 41.1 4.3 14.9 3.2 34.6 6.9 8.1 7.5 5.1 7.0 7.0 6.3 6.4 6.6 9.7 6.0 5.0 10.6 7.4 6.4 3.9 5.9 5.7 5.6 5.9 5.8 8.5 6.0 4.9 9.4 6.5 6.6 4.5 6.1 5.8 5.7 6.1 6.1 8.5 6.3 4.9 9.9 6.6 338.1 53.6 105.3 53.8 339.2 55.3 106.4 54.3 341.4 54.0 106.8 53.7 16.9 2.4 3.4 2.5 13.5 2.1 2.6 1.8 16.3 2.4 3.8 2.2 5.0 4.5 3.2 4.7 4.0 3.7 2.5 3.3 4.8 4.5 3.6 4.0 Ohio Akron Canton-Massillon Cincinnati Cleveland-Lorain-Elyria Columbus Dayton-Springfield Hamilton-Middletown Lima Mansfield Steubenville-Weirton Toledo Youngstown-Warren 5,767.6 365.7 202.6 857.7 1,103.8 874.1 470.5 194.1 75.1 81.3 53.5 322.0 270.7 5,773.5 372.6 202.0 860.3 1,102.8 875.2 467.6 197.9 75.1 81.9 53.4 314.7 272.8 5,785.3 372.1 203.1 868.8 1,099.8 879.0 469.5 196.1 75.6 82.2 53.8 312.6 271.0 354.0 22.2 12.0 44.6 78.2 36.1 27.3 8.6 5.1 6.3 3.4 22.0 21.2 302.0 18.7 11.3 34.7 65.7 36.3 24.0 7.4 4.2 5.5 2.3 18.0 17.2 363.3 22.3 14.3 42.6 75.3 43.2 29.3 8.9 5.2 6.4 3.3 21.9 20.7 6.1 6.1 5.9 5.2 7.1 4.1 5.8 4.4 6.7 7.8 6.4 6.8 7.8 5.2 5.0 5.6 4.0 6.0 4.1 5.1 3.8 5.6 6.7 4.3 5.7 6.3 6.3 6.0 7.1 4.9 6.8 4.9 6.2 4.6 6.9 7.8 6.0 7.0 7.6 Oklahoma Enid Lawton Oklahoma City Tulsa 1,667.1 26.0 40.2 560.3 428.4 1,690.5 26.6 41.7 581.6 427.9 1,681.2 26.5 41.2 578.6 424.8 81.0 0.8 1.6 25.7 19.9 78.5 0.8 1.4 23.3 22.7 91.0 0.9 1.4 26.7 26.8 4.9 3.2 4.1 4.6 4.6 4.6 2.9 3.4 4.0 5.3 5.4 3.5 3.5 4.6 6.3 Nevada Las Vegas Reno New Hampshire Manchester Nashua Portsmouth-Rochester , 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 C-3. Labor force status by State and metropolitan area—Continued (Numbers in thousands) Unemployed Civilian labor force Percent of labor force Number State and area Corvallis Eugene-Springfield Medford-Ashland Portland-Vancouver Salem Pennsylvania Allentown-Bethlehem-Easton Aftoona Harrisburg-Lebanon-Carlisle Johnstown Lancaster Philadelphia Pittsburgh Reading Scranton—Wilkes-Barre—Hazleton Sharon State College 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 Abilene Amarillo Austin-San Marcos Beaumont-Port Arthur Brazoria Brownsville-Harlingen-San Benito Bryan-College Station Corpus Christi Dallas El Paso : Fort Worth-Arlington Galveston-Texas City Houston Killeen-Temple Laredo Longview-Marshall Lubbock McAHen-Edinburg-Mission Odessa-Midland San Angelo San Antonio Sherman-Denison Texarkana Tyler Victoria Waco Wichita Falls Jan. 2002 Dec. 2002 157.6 1.8 12.9 7.7 88.0 14.3 9.5 4.3 8.7 9.9 9.0 9.3 7.0 3.6 6.2 5.6 7.1 6.7 8.6 4.3 7.5 8.4 8.1 8.2 354.2 19.4 4.0 10.5 15.2 8.2 10.3 138.4 66.2 12.6 19.3 2.9 2.6 3.9 10.1 419.7 22.7 4.6 11.9 16.1 9.5 12.3 160.9 81.0 14.7 24.2 3.9 2.9 4.4 11.6 6.2 6.4 7.1 8.4 4.3 8.6 4.3 5.4 5.9 6.7 7.9 6.3 3.9 8.4 5.3 5.6 5.8 6.0 7.3 4.1 7.8 3.9 5.2 5.5 6.5 6.2 4.9 3.6 6.6 5.0 6.8 6.8 7.0 8.4 4.5 9.2 4.8 6.1 6.8 7.8 7.8 6.6 4.4 7.6 5.8 32.1 38.3 29.2 34.3 34.5 41.3 5.9 6.2 5.2 5.4 6.1 6.4 1,988.2 283.4 289.1 66.8 494.4 103.3 44.8 122.1 11.1 9.7 4.1 27.9 7.6 3.6 116.5 10.6 9.7 4.8 26.1 6.1 3.1 133.9 12.7 11.3 5.5 29.6 8.4 3.5 6.4 4.1 3.5 6.6 5.8 7.9 8.1 6.0 3.8 3.4 7.6 5.4 5.7 7.0 6.7 4.5 3.9 8.2 6.0 8.1 7.8 417.7 49.8 112.1 409.8 48.4 109.2 18.1 1.8 3.6 12.5 1.3 2.6 16.1 1.5 3.3 4.5 3.8 3.4 3.0 2.7 2.3 3.9 3.2 3.0 2,870.0 235.7 90.5 59.3 227.2 367.6 572.2 673.8 2,913.6 239.1 92.0 61.3 230.8 379.6 577.1 697.5 2,847.5 234.2 91.1 59.9 227.5 366.7 567.5 675.1 178.1 9.6 5.7 3.7 13.9 18.4 32.9 29.3 130.7 8.5 3.8 3.0 10.4 11.5 27.7 24.0 151.2 8.0 4.3 3.0 12.5 15.3 30.4 25.4 6.2 4.1 6.3 6.2 6.1 5.0 5.7 4.3 4.5 3.6 4.2 4.8 4.5 3.0 4.8 3.4 5.3 3.4 4.7 5.0 5.5 4.2 5.4 3.8 10,599.3 58.3 111.7 764.7 177.9 109.9 136.5 76.2 175.1 2,033.5 284.6 936.7 120.2 2,236.7 118.7 78.5 106.5 126.3 218.4 121.0 50.7 791.2 50.9 56.3 94.2 45.6 101.2 64.6 10,783.1 60.2 115.4 779.3 180.6 111.7 143.5 83.3 178.7 2,035.8 294.4 955.5 121.3 2,274.8 122.7 81.7 108.7 130.5 221.7 124.4 51.7 812.6 51.3 57.9 96.4 46.0 104.3 64.9 10,814.1 60.1 115.1 780.5 180.5 111.9 144.4 79.4 179.6 2,040.8 298.7 960.3 122.3 2,278.1 123.0 82.2 108.6 129.3 227.7 125.8 51.2 813.1 51.6 58.1 96.7 45.9 105.2 65.3 677.9 2.5 4.3 43.5 14.7 7.3 14.6 1.3 11.1 146.8 25.2 57.1 8.5 125.5 6.5 6.4 7.3 3.6 32.7 6.4 1.7 41.2 4.1 2.9 5.2 2.3 4.8 3.0 638.0 2.3 4.0 38.5 14.7 8.0 14.6 1.5 9.9 129.7 24.2 53.9 8.5 126.6 6.3 5.5 6.5 3.5 30.9 6.6 1.7 39.7 3.0 2.8 4.1 2.1 4.2 3.0 732.3 2.6 4.5 44.4 16.6 8.9 15.3 1.7 11.3 149.0 29.3 61.1 9.7 147.1 7.1 6.7 7.2 4.1 35.2 7.4 2.0 44.4 3.3 3.1 4.7 2.4 5.0 3.2 6.4 4.3 3.8 5.7 8.3 6.6 10.7 1.8 6.3 7.2 8.9 6.1 7.1 5.6 5.5 8.2 6.9 2.9 15.0 5.2 3.4 5.2 8.0 5.1 5.5 4.9 4.7 4.6 5.9 3.8 3.4 4.9 8.1 7.2 10.2 1.8 5.5 6.4 8.2 5.6 7.0 5.6 5.2 6.7 6.0 2.7 13.9 5.3 3.4 4.9 5.8 4.9 4.3 4.5 4.1 4.6 6.8 4.4 3.9 5.7 9.2 7.9 10.6 2.1 6.3 7.3 9.8 6.4 7.9 6.5 5.8 8.1 6.6 3.2 15.4 5.9 3.9 5.5 6.4 5.3 4.9 5.2 4.8 4.8 Jan. 2002 Dec. 2002 Jan. 2002 Dec. 2002 Jan. 2003P 1,811.1 39.9 167.2 91.4 1,088.7 171.4 1,823.6 41.7 171.3 94.6 1,086.0 175.9 1,827.9 41.6 172.0 91.8 1,093.1 174.7 172.2 1.7 14.5 9.1 98.3 15.9 128.5 1.5 10.5 5.3 77.3 11.7 6,216.9 333.6 65.3 143.5 357.6 104.3 254.1 2,615.7 1,200.0 190.7 313.6 58.4 68.7 58.1 202.1 6,295.4 336.3 66.2 144.0 367.8 104.2 262.8 2.653.8 1,206.5 193.5 312.7 59.9 71.6 59.1 204.7 6,209.3 333.2 65.6 142.1 360.5 103.4 253.8 2,628.8 1,193.8 189.2 308.5 58.6 67.7 58.1 200.9 387.0 21.5 4.7 12.0 15.3 9.0 10.9 141.2 71.2 12.8 24.7 3.7 2.7 4.8 10.7 545.5 620.9 564.3 640.4 568.1 642.7 1,909.0 271.0 277.1 62.2 478.9 95.9 44.4 1,950.8 277.0 283.1 63.4 484.0 108.3 44.8 406.6 47.9 107.5 Jan. 2003P Jan. 2003P (Numbers in thousands) Unemployed Civilian labor force Number State and area Jan. 2002 Dec. 2002 Jan. 2002 Dec. 2002 66.1 8.8 41.5 6.1 6.2 5.8 5.4 4.6 5.4 5.5 4.7 5.5 12.3 3.0 18.3 4.1 4.8 3.4 3.5 2.8 5.2 3.9 167.4 2.1 5.8 6.8 34.8 22.5 4.7 130.5 1.7 3.1 4.7 29.0 19.5 4.0 157.9 2.0 3.9 5.3 34.5 23.1 4.8 4.5 2.7 10.1 6.4 4.6 4.2 3.6 3.5 2.1 5.5 4.5 3.8 3.6 3.1 4.2 2.6 6.8 5.0 4.5 4.3 3.7 3,116.2 86.7 104.1 108.5 100.5 1,405.6 215.5 350.6 105.4 249.6 6.5 6.7 6.5 8.6 97.8 18.2 26.4 15.3 219.3 5.1 6.4 5.9 8.2 88.4 14.2 24.9 12.9 229.3 5.4 6.7 6.1 9.0 91.9 15.8 26.2 13.4 8.2 7.9 6.8 6.3 9.0 7.1 8.6 7.8 14.9 7.0 5.8 6.1 5.5 8.1 6.2 6.5 7.1 12.4 7.4 6.3 6.5 5.6 9.0 6.5 7.4 7.5 12.7 791.9 128.7 134.9 76.7 71.2 794.6 128.7 134.6 76.8 70.7 52.5 6.8 10.1 4.4 4.4 46.5 5.9 6.7 4.1 3.6 50.9 6.2 8.4 4.8 4.4 6.5 5.1 7.5 5.8 6.0 5.9 4.6 5.0 5.3 5.1 6.4 4.8 6.3 6.2 6.2 3,004.0 232.9 83.1 140.1 78.5 82.0 74.7 276.3 815.2 93.6 63.4 75.8 3,004.7 233.3 85.2 141.8 76.6 82.3 73.8 281.3 806.6 92.7 64.0 75.2 3,065.2 239.8 85.6 145.3 78.8 82.8 75.1 283.6 824.0 95.9 66.0 76.8 189.1 12.9 5.7 7.7 6.1 4.9 3.8 8.4 48.8 7.7 3.4 4.5 158.8 10.7 4.5 6.8 4.7 5.0 3.0 7.1 44.9 7.2 3.0 3.1 191.7 13.3 5.5 8.1 5.6 5.2 3.9 8.6 50.8 8.1 3.3 3.9 6.3 5.5 6.8 5.5 7.8 6.0 5.1 3.0 6.0 8.2 5.3 5.9 5.3 4.6 5.3 4.8 6.1 6.0 4.0 2.5 5.6 7.8 4.6 4.1 6.3 5.5 6.4 5.6 7.2 6.2 5.2 3.0 6.2 8.5 5.0 5.1 266.1 35.0 41.7 267.6 35.3 42.6 269.2 35.7 43.2 13.8 1.9 1.9 12.2 1.7 1.7 13.6 1.9 1.9 5.2 5.4 4.7 4.5 4.8 3.9 5.1 5.2 4.4 1,322.7 48.1 54.6 116.5 86.3 100.7 745.0 1,350.4 48.3 56.2 119.4 87.2 104.0 767.3 1,374.9 49.6 58.6 122.2 88.8 105.0 776.1 150.6 8.2 8.0 12.8 12.9 14.1 67.1 147.8 7.5 7.8 12.3 11.6 15.2 64.6 156.5 7.9 8.7 13.4 12.5 15.9 67.5 11.4 17.0 14.7 11.0 15.0 14.0 9.0 10.9 15.6 13.9 10.3 13.3 14.6 8.4 11.4 15.9 14.9 11.0 14.1 15.2 8.7 Jan. 2002 Dec. 2002 Jan. 2003P 1,169.3 179.7 743.1 1,177.0 182.4 742.2 1,194.7 185.0 759.9 71.3 112 43.1 63.3 8.5 40.4 343.7 103.8 352.6 106.2 350.2 105.0 16.6 3.5 Virginia Charlottesville Danville Lynchburg Norfolk-Virginia Beach-Newport News Richmond-Petersburg Roanoke 3,682.4 75.6 57.4 106.1 760.3 534.6 129.5 3,701.4 77.9 56.4 104.4 771.7 536.0 127.3 3,741.8 78.4 57.6 105.7 775.6 539.0 129.5 Washington Bellingham Bremerton Olympia Richland-Kennewick-Pasco Seattle-Bellevue-Everett Spokane Tacoma Yakima 3,035.7 81.9 97.3 102.9 94.8 1,386.8 212.7 337.5 102.4 3,122.3 87.0 103.4 107.0 100.9 1,415.6 216.7 353.2 104.1 805.3 132.0 135.1 76.1 73.3 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 1 Data for 2003 are not directly comparable with data for previous years because of a change in metropolitan area definitions. P = preliminary. NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Data for all States, the District of Percent of labor force Jan. 2003P Jan. 2003P Columbia, the Los Angeles-Long Beach metropolitan area, and New York City have been revised to incorporate population controls reflecting the results of Census 2000, reestimation of models, and benchmarking to Current Population Survey annual averages. Data for the remaining metropolitan areas have been revised to reflect updated inputs and the new statewide estimates. Area definitions are published annually in the May issue of this publication. 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 60,000 households (beginning with July 2001 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 touchtone data entry, telephone interviews, and mail questionnaires 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 over 300,000 establishments employing about 37 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. RELATIONSHIP BETWEENTHE 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. 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. 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 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. 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 nonsupervisory 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 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 compensation but are classified as employed, rather than unemployed, in the household survey. 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. 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. 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. Household Data ("A" tables, monthly; "D" tables, quarterly) COLLECTION AND COVERAGE 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 older. 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 60,000 occupied units are eligible for interview. Some 4,500 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 7 and 8 percent. In addition to the 60,000 occupied units, there are about 12,000 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. 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, childcare 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. 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. 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 sometime 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 had 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.) 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. 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. 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. 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. Beginning in 2003, the occupational and industrial classification of CPS data is based on the 2002 Census Bureau occupational and industrial classification systems which are derived from the 2000 Standard Occupational Classification (SOC) and the 2002 North American Industry Classification System (NAICS). (See the following section on historical comparability for a discussion of previous classification systems used in the CPS.) The class-of-worker breakdown assigns workers to the 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 classof-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. 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. 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. 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, childcare 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. Usual full- or part-time status. Data on persons "at work" 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 full-time work or are on layoff from full-time jobs. The part-time laborforce consists of employed persons who usually work part time and unemployed persons who are seeking or are on layoff from parttime jobs. Unemployment rates for full- and part-time workers are calculated using the concepts of the full- and parttime labor force. White, black or African American, and Asian. These are terms used to describe the race of persons. Persons in these categories are those who selected that race group only. Persons in the remaining race categories—American Indian or Alaska Native, Native Hawaiian or Other Pacific Islanders, and persons who selected more than one race category—are included in the estimates of total employment and unemployment but are not shown separately because the number of survey respondents is too small to develop estimates of sufficient quality for monthly publication. In the enumeration process, race is determined by the household respondent. (See the following section on historical comparability for a discussion of changes beginning in 2003 that affected how people are classified by race.) Hispanic or Latino ethnicity. This refers to persons who identified themselves in the enumeration process as being Spanish, Hispanic, or Latino. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. (See the following section on historical comparability for a discussion of changes beginning in 2003 that affected how people are classified by Hispanic or Latino ethnicity.) 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-employed persons regardless of whether 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). 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, on 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. 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. 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: • 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. • 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. • 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 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. • 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) 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. 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. 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 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: 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. 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 full-time 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.) 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 expect to be recalled to their jobs. Previously, the questionnaire did not include explicit questions about the expectation of recall. 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 63RV (Washington, U.S. Census Bureau and Bureau of Labor Statistics, March 2002), 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. 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 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 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. • 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 blackand-other labor force rose by about 210,000. 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. • 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. • 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 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 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. • 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 February 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 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 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 foreign-born 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 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. • 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 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 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. 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. • 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 Hispanicorigin 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 2003, several major changes were introduced into the CPS. These changes included: a) Population controls that reflected the results of Census 2000 were introduced into the monthly CPS estimation process. These new population controls substantially increased the size of the civilian noninstitutional population and the civilian labor force. Data from January 2000 through December 2002 were revised to reflect the higher population estimates from Census 2000 and the higher rates of population growth since the census. At the start of the revision period (January 2000), the new controls raised the civilian noninstitutional population and the civilian labor force by 2.6 and 1.6 million, respectively. By December 2002, the civilian population and labor force were 3.8 and 2.5 million, respectively, higher than originally estimated. In addition to these revisions, the U.S. Census Bureau introduced another large upward adjustment to the population controls as part of its annual update of population estimates for 2003. The entire amount of this adjustment was added to the labor force data in January 2003 resulting in increases of 941,000 to the civilian noninstitutional population and 614,000 to the civilian labor force. The unemployment rate and other ratios were not substantially affected by either of these population control adjustments. b) The modification of the questions on race and Hispanic origin to comply with new standards for maintaining, collecting, and presenting Federal data on race and ethnicity for Federal statistical agencies. In accordance with the new standards, the following changes were made to the CPS questions: 1) Individuals were now asked whether they are of Hispanic ethnicity before being asked about their race. Prior to 2003, individuals were asked their ethnic origin after they were asked about their race. 2) Individuals were now asked directly if they are Spanish, Hispanic, or Latino. Previously, individuals were identified as Hispanic based on their, or their ancestors', country of origin. 3) With respect to race, the response category of Asian and Pacific Islanders was split into two categories: a) Asian and b) Native Hawaiian or Other Pacific Islanders. 4) Individuals were allowed to choose more than one race category. Prior to 2003, individuals who considered themselves to belong to more than one race were required to select a single primary race. 5) The questions were reworded to indicate that individuals could select more than one race category and to convey more clearly that individuals should report their own perception of what their race is. These changes had no impact on the overall civilian noninstitutional population and civilian labor force but did reduce the population and labor force levels of whites, blacks or African Americans, and Asians beginning in January 2003. For whites and blacks, the differences resulted from the exclusion of individuals who reported more than one race from those groups. For Asians, the difference resulted from the same restriction as well as the split of the old Asian and Pacific Islander category into two separate categories. Analysis of data from a special CPS supplement conducted in May 2002 indicated that these changes reduced the population and labor force levels for whites by about 950,000 and 730,000, respectively, and for blacks and African Americans by about 320,000 and 240,000, respectively, while having little or no impact on their unemployment rates. For Asians, the changes had the effect of reducing the their population by about 1.1 million and their labor force by about 720,000, but did not have a statistically significant effect on their unemployment rate. The changes did not affect the size of the Hispanic or Latino population and had no significant impact on the size of their labor force, but did cause an increase of about half a percentage point in their unemployment rate. c) Improvements were introduced to both the secondstage and composite weighting procedures. These changes adapted the weighting procedures to the new race/ethnic classification system and enhanced the stability over time of national and State/substate labor force estimates for demographic groups. 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 employment 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 in- formation 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 2003, the 2002 Census Bureau occupational and industrial classification systems were introduced into the CPS. These systems were derived from the 2000 Standard Occupational Classification (SOC) and the 2002 North American Industry Classification System (NAICS). The composition of detailed occupational and industrial classifications in the new classification systems was substantially changed from the previous systems in use as was the structure for aggregating them into broad groups. Consequently, the use of the new classification systems created breaks in existing data series at all levels of aggregation. Additional information on the 2002 Census Bureau occupational and industrial classification systems appears in "Revisions in the Current Population Survey Effective in January 2003" in the February 2003 issue of this publication. 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. Changes in this regard since 1960 are as follows: 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 State-based 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. 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 substate 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. In July 2001, the CPS sample was expanded to support the State Children's Health Insurance Program. For further information on the sample expansion, see "Expansion of the Current Population Survey Sample Effective July 2001" in the August 2001 issue of this publication. The current criteria, given below, are based on the coefficient of variation (CV) of the unemployment level, where the C V 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 July 2001, includes about 72,000 "assigned" housing units from 754 sample areas. Sufficient sample is allocated to maintain, at most, a 1.9-percent CV on national monthly estimates of unemployment level, assuming a 6-percent unemployment rate. 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. About 60,000 housing units are required in order to meet the national and State reliability criteria. 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 for California, Florida, New York, and Texas, for example, carry a C V of less than 4 percent. In support of the State Children's Health Insurance Program, about 12,000 additional housing units are allocated to the District of Columbia and 31 States. (These are generally the States with the smallest samples after the 60,000 housing units are allocated to satisfy the national and State reliability criteria.) 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 72,000 housing units are assigned for data collection, of which about 60,000 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 60,000 housing units, about 7.5 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 112,000 persons 16 years of age or older. 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. 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 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 within-PSU 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 groupquarters 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 inter- viewing, 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 decennial 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-to-year 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 chapter 2 of "The Current Population Survey: Design and Methodology," Technical Paper 63RV, (Washington, U.S. Census Bureau and Bureau of Labor Statistics, March 2002), 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 and in chapter 3 of Technical Paper 63RV referenced above. A description of the sample expansion in support of the State Children's Health Insurance Program appears in "Expansion of the Current Population Survey Sample Effective July 2001", in the August 2001 issue of this publication and in Appendix J, "Changes to the Current Population Survey Sample in July 2001," of Technical Paper 63RV referenced above. 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 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 Apr. 1989 to Oct. 1994 3 Nov. 1994 to Aug. 1995 4 Sept. 1995 to Dec. 1995 Jan. 1996 to June 2001 July 2001 to present 5 Number of sample areas 68 230 1 330 2 333 357 449 449 461 614 629 629 729 729 729 792 792 754 754 Households eligible 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 46,250 55,500 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 3,750 4,500 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 10,000 12,000 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. 5 Includes 12,000 assigned housing units in support of the State Children's Health Insurance Program. 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. teristics 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: 1. 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 7 to 8 percent, depending on weather, vacation, etc. 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 charac- 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 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. A national-coverage step and a State-coverage step make preliminary corrections for undercoverage. The CPS sample weights are then adjusted to ensure that sample-based estimates of population match independent population controls. Three sets of controls are used in different steps of the procedure: 1) State step: Civilian noninstitutional population controls for 6 age-sex cells in the Los Angeles-Long Beach metropolitan area, the balance of California, New York City, the balance of New York State, each of the other 48 States, and the District of Columbia. 2) Ethnicity step: National civilian noninstitutional population controls for 26 Hispanic and 26 non-Hispanic age-sex cells. 3) Race step: National civilian noninstitutional population controls for 34 white, 26 black, and 26 Asianplus-residual-race age-sex cells. The independent population controls are prepared by projecting forward the resident population as enumerated on April 1, 2000. 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. Prior to January 2003, the projections were based on earlier censuses. See "Revisions to the Current Population Survey Effective in January 2003," in the February 2003 issue of this publication for a detailed discussion of changes to the second-stage weighting and composite estimating procedures that were introduced in January 2003. 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 always equal the totals shown in the same tables because of 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 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 may be found in Appendix G, "Reinterview: Design and Methodology," of "The Current Population Survey: Design and Methodology," Technical Paper 63RV (Washington, U.S. Census Bureau and Bureau of Labor Statistics, March 2002), available on the Internet at www.bls.census.gov/cps/tp/tp63.htm. 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 age-sexrace-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 63RV referenced above. The last document includes a comprehensive discussion of various sources of errors and describes attempts to measure them in the CPS. 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: 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 to 1996 may be roughly approximated by applying these adjustments Table 1 -B. Approximate standard errors for major employment status categories (In thousands) Monthly level Consecutive month-tomonth change 267 273 131 174 177 166 Men, 20 years and over: Civilian labor force Employed Unemployed 184 196 83 120 128 106 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. Women, 20 years and over: Civilian labor force Employed Unemployed 209 215 77 136 140 98 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. 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 77 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 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 Characteristic Total Total, 16 years and over: Civilian labor force Employed Unemployed Black or African American Total, 16 years and over: Civilian labor force Employed Unemployed Hispanic or Latino ethnicity Total, 16 years and over: Civilian labor force Employed Unemployed Table 1 -C. Approximate standard errors for unemployment rates by major characteristics (In percent) Consecutive Monthly month-torate month change Characteristic Total Men Men, 20 years and over Women Women, 20 years and over Both sexes, 16 to 19 years White Black or Africian American Hispanic or Latino ethnicity Married men, spouse present Married women, spouse present Women who maintain families ... 0.09 .12 .12 .13 .13 .66 0.12 .16 .15 .17 .16 1.08 .10 .39 .37 .12 .14 .43 .12 .49 .47 .15 .18 .54 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. 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 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. 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 209,000 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 209,000 by the factor 1.645 to obtain 344,000. This number is subtracted from and then added to 60,000,000 to obtain an approximate 90-percent confidence interval: 59,656,000 to 60,344,000. 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. 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. se(x) = ylax2 +bx 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 1-D associated with a particular characteristic. 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 b = 2921A3 se(3,000,000) = yj- 0.0000348(3,000,000)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/are given for: Consecutive month-to-month changes Changes in monthly estimates 1 year apart Quarterly averages Changes in consecutive quarterly averages Yearly averages Changes in consecutive yearly averages 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 / i n 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(x9 / ) = / * se(x) = / * j(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. 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 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 f . 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. 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. 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 or Africian American 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. 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 b = 3295.99 5^(15,000,000)= ^ 0.0001541(15,000,000)2 + 3295.99(15,000,000) -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. 5^(15,000,000) = .86 * 122,000 ® 105,000 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. 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 monthly levels is x = 3,075,000. Step 1. The average of the two quarterly levels is x = 15,200,000. Step 2. Apply the a and b parameters from table 1-D (Total or white; Men; Unemployed) to the average*, treating it like an estimate for a single month. 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*, treating it like an estimate for a single month. a = -0.0000348 b = 2927.43 a = -0.0001541 b = 3295.99 5^(3,075,000) = V- 0.0000348(3,075,000)2 + 2927.43(3,075,000) - 93,000 5^(15,200,000) - yj- 0.0001541 (15,200,000)2 + 3295.99(15,200,000) = 120,000 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. 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^(150,000) = / * 5^(3,075,000) = 1.27 *93,000 «118,000 5^(400,000) = .78 * se(15,200,000) = .78 * 120,000 « 94,000 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. 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 the base y and the numerator of p are from different categories within the table, use the b parameter from table 1 -D relevant to the numerator of the rate or percentage. se(p,y) = Jjp(100-p) Note that se(p,y) is in percent. 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: se(p,y) = J 3Q05 06 - (32)(100-32) « 1.0 percent Step 1. Appropriately average estimates of monthly rates or percentages to obtain p, 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. 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 (p, y) in the formula.) Step 3. Determine the standard error se (p9y,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. 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 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). Step 2. Apply the b = 3005.06 parameter from table 1-D (Employment; Part-time workers) to the averaged p and y, treating the averages like estimates for a single month. v 6,200,000 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. Procedure for using table I -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. se(p, y , f ) = f* se(p, y) = f* 00 - p) where p and y are averages of monthly estimates over a designated period. Note that se (p, y,f) is in percent. se(p,y) = J 3005 06 (33)(100-33) «1.0 percent F y 6,250,000 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. se(2%) = .65 * 1.0 percent = .65 percent 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. Table 1 -D. Parameters and factors for computation of approximate standard errors for estimates of monthly levels Factors Parameters Characteristic Consecutive Year-to-year month-tochange month of monthly change estimates Quarterly averages Change in consecutive quarterly averages Yearly averages Change in consecutive yearly averages a D 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 - .0001260 Unemployed - .0001260 3295.99 3295.99 .65 1.28 1.20 1.38 .86 .71 .82 .90 .65 .42 .78 .56 Men: Civilian labor force, employed, - .0002570 and not in labor force Unemployed - .0002570 3332.28 3332.28 .65 1.29 1.26 1.38 .84 .71 .82 .90 .62 .41 .76 .55 Women: Civilian labor force, employed, - .0002140 and not in labor force - .0002140 Unemployed 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, - .0014250 and not in labor force Unemployed - .0014250 3295.99 3295.99 .96 1.65 1.34 1.42 .81 .70 .84 .89 .58 .41 .73 .55 Total or white Black or Africian American Hispanic or Latino ethnicity Table 1 -D. Parameters and factors for computation of approximate standard errors for estimates of monthly levels—Continued Factors Parameters Characteristic Consecutive Year-to-year change month-tomonth of monthly estimates change Quarterly averages Change in consecutive quarterly averages Yearly averages Change in consecutive yearly averages a U -0.0000174 3005.06 0.65 1.11 0.87 0.92 0.61 0.74 - .0000348 Marital status, men - .0000325 Marital status, women Women who maintain families. - .0000325 Nonagricuitural industries: - .0000174 Total - .0000174 Wage and salary workers - .0000174 Self-employed workers - .0000174 Unpaid family workers - .0000174 Full-time workers - .0000174 Part-time workers 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 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 3005.06 3005.06 .65 .65 1.17 1.27 .85 .81 .92 .89 .59 .55 .72 .69 - .0000174 3005.06 1.27 1.29 .78 .91 .50 .64 - .0000174 .0000174 .0000174 .0000174 .0000174 .0000174 .0000174 .0000174 3005.06 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 1.47 1.21 1.36 1.33 1.34 1.30 1.34 1.25 1.37 .84 .67 .73 .67 .76 .71 .78 .67 .77 .86 .88 .86 .87 .86 .86 .87 .66 .38 .45 .39 .51 .45 .53 .39 .79 .51 .58 .51 .64 .57 .65 .52 - .0000174 3005.06 1.27 1.29 .74 .85 .49 .62 - .0000174 3005.06 1.27 1.38 .72 .91 .42 .57 - .0000348 Marital status, men - .0000325 Marital status, women Women who maintain families .. - .0000325 - .0000174 Industries and occupations 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 3005.06 1.27 1.38 .72 .91 .42 .57 .55 .55 .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 All reasons for unemployment, except temporary layoff On temporary layoff - .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 Employment Educational attainment Multiple jobholders At work Total and nonagricuitural 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 Not in the labor force Total Persons who currently want a job and discouraged workers 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 over 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://www.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. For establishments that do not use TDE, data are collected mostly by mail, FAX, or Electronic Data Interchange (EDI), or on magnetic tape or computer diskette. Computer-assisted telephone interviewing (C ATI) is used for a growing number of respondents (27 percent). BLS is also pilot testing reporting via the World Wide Web. Chart 1 shows the percentages of the establishments 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 estimates of employment, hours, and earnings. At BLS, the Chart 1: Distribution of CES sampie by collection mode FAX/EDI/TAPE/WEB > ** TDE 42% X jT / [ PK i w j \_ CATI 27% Mail 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. 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, either full- or part-time, on the last day of the calendar month or the last day of the last full pay period of the calendar month. Intermittent Federal Government workers are counted if they performed any service during the month. Agencies are required to consistently report employment data on either a calendar month basis or pay period basis. The only exception to this rule occurs at the end of the fiscal year when all agencies are required to report data as of September 30th. 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, the Defense 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. 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 353 seasonally adjusted employment series (3-digit industries) covering all nonfarm payroll employment in the private sector. The manufacturing diffusion indexes are based on 136 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.) 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. 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. 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- 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. 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. 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. 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. 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. 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. 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. tion Board, and relate to all employees except executives, officials, and staff assistants 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 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. 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 Earners and Clerical Workers (CPI-W). The reference year for these series is 1982. ESTIMATING METHODS [NOTE: This section and the next apply to the services and government industry divisions. (See the section on CES sample redesign for information on other industries.)] Average hourly earnings, excluding overtime. Average hourly earnings, excluding overtime-premium pay, are computed 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. 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. Railroad hours and earnings. The figures for Class I railroads plus Amtrak (excluding switching and terminal companies) are based on monthly data from the Surface Transporta- 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. For national series, the March sample-based estimates only are replaced with UI counts. For State and metropolitan area series, all available months of UI data are used to replace sample-based estimates. State and area series are based on smaller samples and are therefore more vulnerable to both sampling and nonsampling errors than national estimates. 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 98 percent of private employment within the scope of the establishment survey is covered by UI. A benchmark for the remaining 2 percent is constructed from alternate sources, primarily records from the Railroad Retirement Board and County Business Patterns. 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 level 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 post-benchmark estimates reflect the application of sample-based monthly changes to new benchmark levels for March, and the recomputation 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. Monthly estimation Estimates are derived from a sample of over 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. Link relative technique. A ratio of the previous to the current month's employment is computedfroma 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. Model-based adjustment. For the services 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 error 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 derivedfroma 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 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 Employment, hours, and earnings Non-probability sample 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.3 duction workers.4 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 Annual total of aggregate payrolls (production or nonsupervisory worker employment multiplied by weekly hours and hourly earnings) divided by annual aggregate hours. Total production or nonsupervisory worker payroll divided by total production or nonsupervisory worker hours.4 Average, weighted by aggregate hours, of the average hourly earnings for component cells. 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 Employment, hours, and earnings Average weekly earnings Non-probability sample 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 weekly hours and average hourly earn- hours and average hourly earn- hours and average hourly hours and average hourly ings. earnings. ings. earnings. 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 matched 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. 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 to 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 adjustments 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 the total model-based adjustments for the past decade. The table displays the average monthly "model adjustment added" and the average monthly "model adjustment required" with the benchmark revisions for each year. Model adjustment added shows the average amount of model adjustment that was added each month over the course of an interbenchmark period. Prior to 2000, the model adjustment was identical to the bias adjustment described above. Beginning with 2000, the model adjustment varies across major industry divisions, because of the phased-in implementation of the CES sample redesign. As divisions made the transition to the new methodology, a model-based estimate for the net employment change of business births and deaths replaced bias adjustment. Model adjustment required is computed retrospectively, after the March benchmark for a given year is known. Adjustment required figures are calculated by taking the difference between a March estimate derived purely from the sample (that is, a series calculated without bias adjustment) and the March benchmark. Dividing this figure by 12 gives the average monthly model adjustment required figure. The adjustment required is thus defined as the amount of model adjustment that would have achieved a zero benchmark error. The difference between the total model adjustment required and the total model adjustment 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 overthe-year changes indicate correlation with the model adjustment added and model adjustment required figures. THE SAMPLE 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 example, 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. 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 month, 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, 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. 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. 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 cover- Table 2-B. March employment benchmarks and model adjustments for total private industries, March 1991-2001 Benchmark Employment Revision Added Required Over-the-year employment change5 1991 1992 1993 1994 88,790 88,347 89,790 92,730 -583 -130 288 688 61 33 83 115 12 22 107 171 -1,756 -443 1,443 2,940 1995 1996 1997 1998 1999 96,175 98,158 101,040 103,965 106,627 511 72 518 85 242 144 129 130 150 150 187 135 173 157 170 3,445 1,983 2,882 2,925 2,662 20006 20017 109,432 110,377 352 -192 153 146 183 130 2,805 945 Year 1 Average monthly model adjustment 2 1 Universe counts for March of each year are used to make annual benchmark adjustments to the employment estimates. About 98 percent of the benchmark employment is from unemployment insurance administrative records, and the remaining 2 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 model adjustment each month over the course of an interbenchmark period, that is, from April of the prior year through March of the given year. 3 4 4 The difference between the March benchmark and the March estimate derived solely from the sample without model adjustment, converted to a monthly amount by dividing by 12. 5 March-to-March changes in the benchmark employment level. 6 Wholesale trade uses the net birth/death model. 7 Wholesale trade, mining, construction, and manufacturing use the net birth/death model. NOTE: Data in this table exclude government employment because there is no model adjustment for this sector. age achieved by the sample. The establishment survey sample covers nearly 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 and 2-E. 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 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. While ES-202 employment counts are available for all months, only the March ES-202 employment levels are used in CES national benchmarking because there are differences in monthly seasonal patterns between CES sample-based series and the ES-202 universe counts. These differences are likely attributable to error sources in Table 2-C. Employment benchmarks and approximate coverage of BLS employment and payrolls sample, March 2001 Sample coverage Industry Total Mining Construction Manufacturing .... Transportation and public utilities.... Wholesale trade. Retail trade Finance, insurance, and real estate . Services Government: Federal State Local Employment benchmarks (thousands) Number of establishments1 131,580 550 6,383 18,040 Employees Number (thousands) Percent of benchmarks 219,308 39,401 30 1,441 12,147 22,773 155 738 6,012 28 12 33 2 7,098 6,786 23,117 9,122 9,799 54,759 1,950 666 5,053 27 10 22 7,646 40,757 10,607 64,443 1,746 7,695 23 19 2,608 3,854 8,924 100 77 66 2,608 4,979 13,616 3 6,907 7,667 19,643 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 The Surface Transportation Board provides a complete count of employment for Class I railroads plus Amtrak. A small sample is used to estimate hours and earnings data. 3 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. both data series; however, the sample-based estimates are believed to more accurately capture true month-to-month economic movements. The ES-202 data are susceptible to administrative effects between quarters, as the UI tax records which serve as the ES-202 source are filed quarterly. The CES data are susceptible to sampling error and possible sample design biases. At the State and metropolitan area levels, these CES error sources are more serious as the sample sizes are much smaller than at the national level, thus the State and area benchmarking process includes replacement of all months of estimates with ES-202 employment counts. 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. Revisions between preliminary andfinal 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-E 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 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. Mining, construction, and manufacturing industries were published under the new design for the first time in June 2001, with the 2000 benchmark revisions, and in June 2002, the transportation and public utilities; retail trade; and finance, insurance, and real estate industries were also brought into the new sample design, with the 2001 benchmark revisions. The services industry will have its first published estimates under the redesigned sample in the next benchmark release, in June 2003. Table 2-0. Current (March 2001) 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 Construction General building contractors Heavy construction, except building Special trade contractors Manufacturing 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 Level Percent Actual -123 -0.1 0.2 -192 -.2 .2 -126 -.5 .4 2 .4 0 0 2 2 2.6 .6 -1 -2.2 .1 -80 -.3 -4 -58 -5.7 -.5 -1.4 1.1 (1) 15 .1 .5 10 .1 .6 -4 -.5 -1.1 .4 .7 -.9 .5 .1 -2.8 1.3 2.1 .6 1.2 .8 -6 2 5 -2 7 2 -10 23 15 10 12 -3 -23 -5 Wholesale trade Durable goods Nondurable goods -.6 -2.7 -1.3 .1 10 2 7 2 .9 .5 .3 .3 .6 .5 .4 .5 .8 .9 1.2 .2 .3 .8 .3 .6 .3 6.1 1.0 .1 1.4 .3 -.3 -2 0 -12 -1 0 -1.2 -.8 3 -4 .3 -6.3 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 .7 -1.5 .6 1.3 .7 -143 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 Ten-year average mean percent revision March 2001 benchmark revision .5 .4 (1) .3 .2 .6 -.8 1 ( ) .2 29 .4 .2 -26 -.6 6 1 -5 -9 -19 2.6 .2 -.3 -4.9 -1.5 7.1 .2 2.1 2.7 .1 .4 -.5 2.3 1.3 1.1 .1 -3.6 -3.2 -4.2 -.7 1 1 55 46 9 -244 -130 -114 -.7 -.9 -.1 .5 .6 -.4 -1.0 Table 2-D. Current (March 2001) and historical benchmark revisions—Continued (Numbers in thousands) Industry March 2001 benchmark revision Ten-year average mean percent revision Actual Absolute Level Percent 96 24 99 102 -76 -8 -9 -30 0 97 -9 .4 2.4 3.5 4.1 -2.2 -.3 -.8 -2.6 0 1.2 -.3 .5 -.1 1.7 2.0 -.2 -.7 -.7 -.1 -.7 1.3 .2 .7 1.2 2.8 3.2 .6 .7 .8 1.3 1.2 1.4 .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 services Real estate 67 28 13 7 1 12 4 10 -6 13 -2 13 26 .9 .7 .6 .5 .4 1.7 1.3 1.3 -2.4 .5 -.1 1.7 1.7 -.2 -.5 -.5 -1.4 1.7 1.8 .7 -4.0 .3 .4 .2 -.1 (1) 1.1 1.0 1.0 1.0 4.9 2.8 5.0 1.0 5.2 1.2 1.2 1.2 1.4 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, nec -14 13 -39 -1 -21 0 -12 8 31 -45 10 -11 -18 26 20 19 -4 -12 3 28 -12 -33 9 1 -29 60 0 31 -1 0 1.7 -2.1 -.1 -.2 0 -.3 .2 1.4 -3.6 2.7 -1.9 -1.1 .3 1.0 1.0 -.1 -1.9 3 1.1 -.4 -4.5 1.1 1.0 -1.2 1.7 0 2.7 -2.0 .2 .9 .6 .6 .7 .1 .9 1.8 2.5 -.8 -1.2 -2.7 -.3 -.3 .1 .1 -.5 .6 -.5 .4 .1 -.1 -.1 1.7 1.5 -.6 .3 1.2 1.3 1.2 1.2 1.1 2.0 2.6 3.0 1.9 4.1 3.9 3.0 .5 .8 .8 .6 2.2 .7 1.9 1.0 4.3 1.2 2.2 2.3 1.5 1.0 3.0 3.5 Government Federal Federal, except Postal Service State Education Other State government Local Education Other local government 69 0 0 6 9 -3 63 85 -21 .3 0 0 .1 .4 -.1 .5 1.1 -.4 .1 0 0 .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 1 2 Less than 0.05 percent. Includes other industries, not shown separately. (1) -1.5 -.9 (1) .1 .3 O .3 0 0 .6 1.1 .4 .3 .4 .4 NOTE: Nec is an abbreviation for "not elsewhere classified" and designates broad categories of industries that cannot be more specifically identified. Table 2-E. Errors of preliminary employment estimates Industry Total Total private Goods-producing Root-mean-square error of monthly level1 0 36,000 0 0 15,800 0 0 0 .1 0.2 .7 .5 .3 .3 0 .1 .1 .2 Construction General building contractors Heavy construction, except building Special trade contractors 7,000 3,000 3,200 5,500 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 -0.1 .1 0 .1 .3 0 .1 1,700 1,100 1,400 1,600 1,200 2,000 2,600 2,000 2,700 1,700 0 0 0 0 -.2 0 0 .2 -.1 .2 6,100 0 0 .2 .3 -.1 .2 -.1 .2 0 .2 11,600 10,900 4,500 2,400 1,600 1,000 .2 -.1 3,000 900 1,200 2,800 1,200 1,600 1,700 800 1,700 300 .2 .2 .2 .4 .1 .1 .4 .1 .1 4,800 0 .1 .6 1.4 0 .2 .2 .3 0 0 0 .1 .1 .1 -.1 .4 0 .1 .1 .4 49,600 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 8,200 8,000 2,200 2,900 4,700 1,600 6,900 100 1,600 3,800 3,300 1,400 Wholesale trade Durable goods Nondurable goods 8,300 4,100 7,300 Absolute 0 1,600 500 500 1,400 500 Durable goods Actual 47,900 Mining Metal mining Coal mining Oil and gas extraction Nonmetallic minerals, except fuels Manufacturing Mean percent revision 0 .1 -.1 .1 -.2 -.2 .7 .5 -.1 .2 0 0 -.4 -.1 .7 .4 .6 .3 .1 .1 .1 .2 0 .1 0 0 0 .1 .1 .2 Table 2-E. Errors of preliminary employment estimates—Continued Industry 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 Root-mean-square error of monthly level1 1 Absolute 0 0 -.1 .1 -.1 .6 0 -.1 -.1 .1 .1 .1 .2 .5 .1 .4 0 0 .2 .2 .2 6,100 4,900 3,300 3,100 600 2,000 I,500 1,600 1,700 2,500 2,100 1,300 2,200 0 0 -.1 -.1 0 0 0 0 .1 .1 .1 -.1 .5 .1 .1 .1 .1 28,600 3,700 6,500 6,000 14,600 2,700 10,900 11,000 3,900 2,000 1,000 5,800 10,700 4,500 2,400 1,400 3,000 1,700 1,400 12,600 8,800 3,700 1,400 500 3,400 5,400 1,800 3,600 500 0 .1 0 -.1 0 0 0 0 0 0 0 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. Actual 25,500 2,600 19,200 19,200 5,300 3,100 1,100 6,500 2,400 12,200 8,700 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 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, nec Government Federal Federal, except Postal Service State Education Other State government Local Education Other local government Mean percent revision 26,300 13,600 11,600 12,500 II,700 5,200 17,900 16,800 8,600 0 0 .1 0 .1 .2 .2 .2 .4 .2 .1 .3 .3 .3 .1 .2 .3 .3 .2 .1 .3 .2 .8 .2 .5 0 0 0 0 0 0 0 .1 .1 .1 .2 .1 .1 .4 .1 .2 .2 .4 0 0 0 0 .1 -.1 .1 .4 .1 .1 .1 .3 0 .8 0 .1 .3 .1 .2 .4 0 0 0 0 0 .2 .1 .1 .5 .2 .1 .2 NOTE: Nec 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 1997 through December 2001. 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 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 a 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 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 rates 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, initially the number of sample units drawn was fixed to the approximate size of the existing CES sample for each state; the sample size assumed to be supportable by current program resources. However, after a few years of experience, BLS recognized that the sample size needed to be reduced in order to support the more costly data collection and follow-up techniques inherent in a probability-based design. Therefore, the overall sample size was reduced by approximately 20 percent with the March 2000 sample update; the smaller redesign sample size was effective with the June 2002 implementation of the March 2001 benchmark. Even with the sample size reduction, the CES program can support the publication of considerable industry and geographic detail within a State, and provide highly reliable national CES estimates at the total nonfarm and detailed industry levels. 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 (SES As). The LDB contains employment and wage information from employers, as well as name, address, and location information. It also contains identification information such as Unemployment 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 98 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. 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 are 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 / nh where: Nh = the number of noncertainty UI accounts within the allocation cell that are eligible for sample selection nh = the number of noncertainty UI accounts selected within the allocation cell 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 semiannual 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. 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: - 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. 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 adjustments are made to reflect each of the worksites' probability of selection. Estimation. Under the new methodology, CES uses 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 previ- ous 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: a T,( w i x a e AEc = AEpX^n cj) Estimation of the series for women workers is identical to that described for production workers, with the appropriate substitution of women worker values 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: rr v J^w t xwh c 4 c + (net birth/death model) V AWH=AWHx- where: > _J i = matched sample unit; w. = weight associated with the CES report; aec. = current-month reported all employees; Xwixpwp,i and AHEc = AHEpX- ._J > aep. = previous-month reported all employees; x prP,i A AEc = current-month estimated all employees; and A w;xwhp. where: AEp = previous-month estimated all employees. i The basic form for the estimator used to develop the current-month production workers series is: PW, = AExPWRATW AWH AWH , and wh „, f( w 5 > , X pwc. V i w c = current-month estimated average weekly hours; p = previous-month estimated average weekly hours; current-month reported weekly hours; = previous-month reported weekly hours; Pwc,i P matched sample unit; weight associated with the CES report; = h pj w = = = current-month reported production workers; P,i = previous-month reported production workers; Z", VV i PWRATIOc = PWRATIOx - Z w i*p P.' 5>. xaen where: i = weight associated with the CES report; a = current-month estimated production workers; PWRATIOc _ current-month production-worker-to-all-employee ratio; PWRATIOp = previous-month production-worker-to-all-employee ratio; w P cj = current-month reported production workers; Pwp,i = previous-month reported production workers; aec - i c _ current-month estimated average hourly earnings; AHE p - previous-month estimated average hourly earnings; = current-month estimated average weekly man hours; = previous-month estimated average weekly man hours; = current-month reported weekly payroll; and WH c WH = matched sample unit; PWC AHE w current-month reported all employees; = previous-month reported all employees; and = current-month estimated all employees. r P c,i p = previous-month reported weekly payroll. 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. 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, 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 wherever possible. In the June 2002 implementation, 2 full years of transportation and public utilities and finance, insurance, and real estate estimates were replaced with redesign-based estimates. For industries that do not have the complete probability sample enrolled by the previous March benchmark month, the published quota estimates were wedged and the post-benchmark estimates were calculated using the new sample and estimators. This technique was used for the introduction of redesign estimates for the retail trade series in June 2002. Thus, there is more revision in the benchmark period 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. 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 the implicit imputation of their previous month's employment 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: Birth/death residual = 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. Difference between the birth/death model and bias adjustment. Table 2-F compares the level of bias adjustment applied in the previous published CES series with the net birth/death adjustment used in the redesign series in transportation and public utilities; retail trade; and finance, insurance, and real estate. Over the course of the "post-benchmark year" from April 2001 to March 2002, the cumulative bias adjustment added 327,000 to the transportation and public utilities; retail trade; and finance, insurance, and real estate estimates, while the net birth/death model added 45,000 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 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 + 7 where weights for units not in the half sample are multiplied by a factor of 1 - y. Estimates from these subgroups are calculated using the estimation formula described previously. The formula used to calculate CES variances is as follows: where: Q+ a _ Q[Y+ ] \ a-> /is the half-sample estimator; =V2; = number of half-samples; and Y k 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 over-the-month change estimates are very useful in determining when changes are significant at some level of confidence. Table 2-F. Bias adjustment effects for published series versus net birth/death model effects for the transportation and public utilities; retail trade; and finance, insurance, and real estate industries (In thousands) Transportation and public utilities Vpar 1 ^ C t l anri Gil I U month IIIVsllMI Bias adjustment for published series Net birth/death adjustment for the postbenchmark period Finance, insurance, and real estate Potail trarlo neian irauc? Bias adjustment for published series Net birth/death adjustment for the postbenchmark period Bias adjustment for published series Net birth/death adjustment for the postbenchmark period Monthly amount 2001: April May June July August September October November December 7 7 7 7 7 7 6 6 6 3 12 7 0 7 3 3 0 2 21 21 21 21 21 21 21 21 21 50 54 53 3 12 -10 -44 -16 -1 2 2 2 2 2 2 3 3 3 3 9 5 -2 7 4 0 0 7 2002: January February March 4 4 4 -12 1 3 10 10 10 -91 -18 5 5 5 5 -19 2 3 72 29 219 -3 36 19 Cumulative total Sampling errors for probability-based industries. The sampling errors shown for the industries in table 2-G have been calculated 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 2002 estimates follow the benchmark revision (March 2001) 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 with the probability sample data and sample weights assigned at the time of sample selection. Illustration of the use of table 2-G. Table 2-G 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) within the same industry. The standard errors of differences between estimates in two nonoverlapping industries are calculated as: S difference = ^Sj + s^ since the two estimates are independent. 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 finance, insurance, and real estate in a given month is estimated at 7,654,000. The approximate relative standard error of this estimate (0.59 percent) is provided in table 2-G A 90-percent confidence interval would then be the interval: 7,654,000 +/- (1.645 * .0059 * 7,654,000) = 7,654,000+/-74,286 = 7,579,714 to 7,728,286 Illustration of the use of table 2-H. Table 2-H 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 in coal mining is $0.11. The standard error for a 1-month change for coal mining from the table is $0.14. The interval estimate of the over-the-month change in AHE that will include the true over-the-month change with 90-percent confidence is calculated: $0.11+/-(1.645* $0.14) = $0.11+/-$0.23 = -$0.12 to $0.34 The true value of the over-the-month change is in the interval -$0.12 to $0.34. 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 $0.23 (1.645 * $0.14); 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) 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. 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 "sum-of-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. Table 2-G. Relative standard error for estimates of employment, hours, and earnings in selected industries (In percent) Relative standard error Industry Average hourly earnings All employees Average weekly hours Mining Metal mining Coal mining Oil and gas extraction Nonmetallic minerals, except fuels 2.13 3.97 4.24 2.65 3.42 2.79 4.19 3.86 4.43 1.95 2.30 3.42 2.84 4.04 Construction General building contractors Heavy construction, except building Special trade contractors .71 1.27 .92 .83 1.46 1.90 1.24 .72 1.41 1.46 .95 .27 .30 .27 .36 .42 .34 1.06 1.06 .97 1.45 .82 .69 2.14 .91 1.46 1.25 1.96 1.58 1.19 1.65 1.43 1.66 2.30 1.66 3.38 1.12 .90 6.36 1.18 1.22 1.09 1.47 1.66 1.69 1.93 .80 1.27 1.36 1.04 1.87 .84 .78 4.27 1.20 2.46 .98 1.47 2.02 1.00 2.00 .44 .53 .43 1.03 3.57 1.24 2.10 .98 .80 .94 2.04 .76 4.27 1.03 3.20 2.00 2.18 1.15 1.15 1.32 5.29 3.39 1.02 4.28 1.41 1.50 .85 1.36 1.57 2.93 .78 1.63 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 .67 1.04 6.99 2.70 1.44 3.43 1.99 3.74 1.70 1.04 1.60 1.07 .98 1.27 (1> 4.58 1.81 5.07 2.68 5.75 2.25 1.64 2.28 1.90 2.28 3.64 (1) 2.81 8.07 3.69 3.60 4.87 2.74 1.49 2.17 1.65 Wholesale trade Durable goods Nondurable goods .60 .61 1.03 .81 .78 1.57 .89 1.07 1.53 Manufacturing 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 1.86 1.21 1.21 2.21 Table 2-G. Relative standard error for estimates of employment, hours, and earnings in selected industries—Continued (In percent) Relative standard error Industry 1 Average hourly earnings All employees Average weekly hours 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 .37 1.69 .77 .86 .85 .65 .63 2.18 1.40 .67 1.09 1.18 1.67 .95 1.02 5.94 3.59 1.59 3.27 2.83 1.52 1.40 3.60 2.09 .42 .47 4.07 22.30 34.52 2.33 2.75 2.36 1.25 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 .59 .90 .81 1.02 1.55 2.66 4.10 2.08 2.61 1.10 1.51 1.30 1.39 .87 1.46 1.25 1.61 2.24 3.02 4.03 5.49 5.19 1.34 1.73 1.87 2.73 1.15 1.74 1.10 1.67 2.90 6.46 8.96 4.97 3.42 1.30 1.19 3.47 2.93 Hours and earnings estimates are not published. Table 2-H. Standard error for change in levels estimates of employment, hours, and earnings in selected industries Industry Standard error 12-month change Standard error 3-month change Standard error 1-month change Average Average All Average Average All Average Average All weekly hourly emweekly hourly emweekly hourly employees hours earnings ployees hours earnings ployees hours earnings 2,655 364 532 2,359 843 0.40 .44 .50 .68 .44 0.13 .11 .14 .22 .10 4,830 692 932 4,254 1,889 0.54 .84 .71 .88 .58 0.17 .18 .21 .29 .15 7,795 1,227 2,193 6,393 2,915 0.85 1.46 1.42 1.30 .72 0.32 .38 .47 .53 .27 Construction General building contractors Heavy construction, except building Special trade contractors 13,115 6,423 4,860 10,812 .11 .22 .32 .15 .04 .09 .10 .06 21,294 10,071 7,760 18,029 .17 .28 .42 .20 .06 .12 .16 .08 32,490 16,619 11,010 27,525 .30 .39 .64 .43 .11 .19 .26 .14 Manufacturing 14,631 .06 .02 21,013 .07 .02 43,181 .11 .03 11,334 2,906 2,039 2,104 1,836 .08 .24 .25 .36 .25 .03 .05 .05 .07 .08 16,649 4,825 3,130 3,685 3,022 .10 .30 .32 .45 .29 .03 .06 .07 .09 .10 32,204 7,191 4,955 5,829 5,912 .14 .44 .43 .71 .37 .04 .08 .11 .17 .14 929 3,214 4,168 1,855 3,605 .40 .15 .15 .48 .19 .20 .04 .04 .14 .06 1,481 5,304 6,628 3,684 5,770 .51 .21 .20 .63 .26 .26 .05 .06 .30 .08 3,260 10,875 10,576 6,223 12,619 .78 .37 .27 1.60 .55 .30 .08 .11 .74 .13 1,858 6,511 6,570 1,109 1,935 1,821 .32 .26 .35 .33 .27 .30 .12 .09 .12 .10 .06 .07 4,128 8,848 8,734 2,117 3,905 2,899 .37 .38 .59 .39 .39 .35 .17 .14 .21 .14 .08 .12 8,234 16,545 16,718 5,422 7,597 4,687 .57 .42 .60 .63 .56 .49 .28 .15 .22 .30 .13 .18 8,151 5,559 574 1,594 3,005 1,537 3,230 2,250 982 .09 .20 .54 .23 .28 .23 .20 .24 .88 .02 .04 .28 .04 .05 .06 .05 .09 .25 13,093 9,393 1,190 2,339 5,237 2,602 5,133 4,517 1,568 .12 .25 .49 .32 .38 .26 .26 .33 1.48 .03 .06 .60 .04 .06 .08 .08 .12 .36 22,553 11,524 1,683 4,045 8,449 5,936 9,212 9,090 2,583 .19 .37 1.01 .56 .65 .43 .39 .54 2.12 .05 .11 .50 .12 .11 .14 .13 .19 .59 2,422 701 .19 .46 .04 .09 4,018 1,305 .24 .65 .06 .14 6,267 2,636 .38 1.00 .09 .20 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 11,250 8,522 2,275 3,603 5,446 2,491 3,814 108 2,392 3,966 3,289 2,088 .14 .18 (1) .46 .27 .69 .44 .78 .33 .19 .25 .29 .05 .06 (1) .08 .25 .14 .47 .15 .07 .09 .12 14,618 12,582 4,551 7,366 8,282 4,388 6,858 185 3,872 8,247 7,573 3,093 .19 .24 (1) .58 .35 .96 .60 1.45 .44 .26 .33 .39 .08 .09 (1) .15 .12 .41 .20 .55 .21 .11 .13 .14 33,196 32,813 4,551 10,584 20,873 4,714 19,545 442 6,680 21,528 20,401 7,292 .32 .40 (1) 1.02 .58 1.53 .82 1.78 .78 .40 .57 .59 .35 .51 (1) .22 1.05 .53 .59 .73 .36 .21 .30 .26 Wholesale trade Durable goods Nondurable goods 10,675 7,412 6,944 .11 .12 .17 .04 .06 .05 17,344 12,574 11,101 .14 .15 .24 .06 .09 .08 33,433 21,427 21,586 .26 .26 .45 .11 .15 .17 Mining Metal mining Coal mining Oil and gas extraction Nonmetallic minerals, except fuels 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 .11 Table 2-H. Standard error for change in levels estimates of employment, hours, and earnings in selected industries—Continued Industry 1 2 Standard error 12-month change Standard error 3-month change Standard error 1-month change All Average Average Average Average All Average Average All weekly hourly hourly emweekly hourly emweekly employees hours earnings ployees hours earnings ployees hours earnings 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 25,248 4,263 4,498 4,066 7,643 5,198 2,516 7,611 3,955 16,327 8,166 .05 .23 .06 .06 .15 .16 .23 .22 .25 .08 .16 .02 .09 .02 .02 .06 .07 .15 .08 .12 .02 .05 38,453 6,386 8,189 7,298 13,058 7,597 3,683 12,974 7,145 26,936 17,238 .07 .28 .07 .07 .22 .24 .33 .35 .36 .10 .18 .03 .09 .02 .02 .07 .10 .18 .10 .17 .03 .06 (22) (2) (2) () (22) () (22) (2) (2) (2) () (22) (2) (2) () (22) (2) () (22) () (22) () (22) (2) (2) (2) (2) () (22) (2) () (22) () 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 9,984 5,543 3,043 2,528 644 3,502 2,790 2,498 1,913 3,749 2,604 2,995 6,376 .11 .19 .19 .27 .39 .38 .58 .59 .55 .14 .18 .23 .27 .05 .08 .05 .05 .13 .23 .44 .30 .17 .06 .08 .09 .08 17,703 9,489 4,894 4,547 1,095 5,883 5,310 6,107 3,657 6,573 5,436 3,807 12,090 .14 .19 .19 .29 .43 .53 .83 .43 .75 .19 .23 .25 .35 .08 .12 .06 .06 .20 .36 .59 .43 .31 .08 .09 .13 .15 30,886 26,084 10,773 8,123 2,744 16,849 12,621 11,298 5,363 18,368 16,301 8,083 13,116 .26 .44 .37 .48 .68 .85 1.31 1.73 1.52 .35 .45 .57 .77 .13 .20 .09 .12 .31 .79 1.35 .73 .57 .17 .18 .39 .30 Hours and earnings estimates are not published. Estimates of variance are not available for this period due to the limited length of historical probability-based estimates. 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. 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. Estimates for substate areas Monthly labor force, employment, and unemployment estimates for two large substate 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. 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. Preliminary estimate—unemployment. In the current 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. Substate adjustmentfor 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 substate 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. Benchmark correction. At the end of each year, substate 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. 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 Beginning in January 2003, BLS started using the X-12ARIMA (Auto-Regressive Integrated Moving Average) seasonal adjustment program to seasonally adjust national labor force data. This program replaced the X-l 1 ARIMA program which had been used since January 1980. For a detailed description of the X-l2-ARIMA program and its features, see D.F. Findley, B.C. Monsell, W.R. Bell, M.C. Otto, and B.C. Chen, "New Capabilities and Methods of the X-12-ARIMA Seasonal Adjustment Program," Journal of Business and Economic Statistics, April 1998, Vol. 16, No. 2, pp. 127-152. See "Revision of Seasonally Adjusted Labor Force Series in 2003," in the February 2003 issue of this publication for a discussion of the introduction of the use of X-12 ARIMA for seasonal adjustment of the labor force data and the effects that it had on the data. At the beginning of each calendar year, projected seasonal adjustment factors are calculated for use during the JanuaryJune 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 were carried back only to 1994 through 1998, when the standard 5-year revision period was reinstated. 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 major labor force components— 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 four 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 and February issue in 2003), 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 the first 6 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. 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. For this reason, calculations of over-the-year change in the establishment hours and earnings series should use seasonally adjusted data. Projected seasonal factors for the establishment-based series are calculated and published twice a year, paralleling the procedure used for the household series. Pvisions 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-12ARIMA/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 forw ard. Revised seasonally adjusted national establishment-based series based on the experience through March 2002, new seasonal adjustment factors for March-October 2002, and a description of the current seasonal adjustment procedure appear in the June 2002 issue of Employment and Earnings. Revised factors for the September 2002-April 2003 period appear in the December 2002 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 "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 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. Obtaining information from the Bureau of Labor Statistics Office or Topic Bureau of Labor Statistics Information services Internet address E-mail http://www.bls.gov http://www.bls.gov/opub/ blsdata_staff@bls.gov Employment and unemployment Employment, hours, and earnings: National State and local Labor force statistics: National Local Ul-covered employment, wages Occupational employment Mass layoffs Longitudinal data http://www.bls.goY/ces/ http://www.bls.gov/sae/ cesinfo@bls.gov data_sa@bls.gov http://www.bls.gov/cps/ http://www.bls.gov/lau/ http ://www.bls.gov/cew/ http ://www.bls.gov/oes/ http ://www.bls.gov/lau/ http://www.bls.gov/rils/ cpsinfo@bls.gov lausinfo@bls.gov cewinfo@bls.gov oesinfo@bls.gov mlsinfo@bls.gov nls_info@bls.gov Prices and living conditions Consumer price indexes Producer price indexes) Import and export price indexes Consumer expenditures http://www.bls.gov/cpi http://www.bls.gov/ppi http://www.bls.gov/mxp http://www.bls.gov/cex cpi_info@bls.gov ppi-info@bls.gov ippinfo_ipp@bls.gov cexinfo@bls.gov Compensation and working conditions National Compensation Survey: Employee benefits Employment cost trends Occupational compensation Occupational illnesses, injuries Fatal occupational injuries Collective bargaining http ://www. bis. go v/ncs/ http://www.bls.gov/ncs/ebs/ http://www.bls.g3v/ncs/ect/ http ://www.bls.gov/ocs/ http://www.bls.gov/iif/ http://stats.bls.gov/iif http://www.bls.gov/cba ocltinfo@bls.gov ocltinfo@bls.gov ocltinfo@bls.gov ocltinfo@bls.gov oshstaff@bls.gov cfoistaff@bls.gov cbainfo@bls.gov Productivity Labor Industry Multifactor http: //www.bls. gov/lpc/ http://www.bls.gov/lpc/ http://www.bls.gov/mlp/ dprweb@bls.gov dipsweb@bls.gov dprweb@bls.gov Projections Employment Occupation http ://www.bls .gov/ emp/ http://www.bls.gov/oco/ oohinfo@bls.gov oohinfo@bls.gov International http://www.bls.gov/fls/ flshelp@bls.gov Regional centers Atlanta Boston Chicago Dallas Kansas City New York Philadelphia San Francisco http: //www.bls. gov/ro4/ http://www.bls.gov/ro 1/ http: //www.bls. go v/ro5/ http://www.bls.gov/ro6/ http://www.bls.gov/ro7/ http://www.bls.gov/ro2/ http://www.bls.gov/ro3/ http://www.bls.gov/ro9/ BLSinfoAtlanta@bls.gov BLSinfoBoston@bls.gov BLSinfoChicago@bls.gov BLSinfoDallas@bls.gov BLSinfoKansasCity@bls.gov BLSinfoNY@bls.gov BLSinfoPhiladelphia@bls.gov BLSinfoSF@bls.gov Other Federal statistical agencies http ://www. feds1ats.gov INDEX TO STATISTICAL TABLES TABLE KEY: A: Monthly household data; B: Monthly national and State and area establishment data; C: Monthly regional, State, and area labor force data; D: Quarterly, household data only, in the January, April, July, and October issues. Annual averages: Household data in the January issue; national establishment data in the January, March, and June issues; State and area establishment and labor force data in the May issue. For additional information see the listing on the inside front cover of this publication. Quarterly averages Monthly Topic Absences from work Aggregate weekly hours (index) Agricultural industries Seasonally adjusted Not seasonally adjusted Seasonally adjusted Not seasonally adjusted 46-47 B-9 A-7 A- 21-23, 30, 36 D-1, 5, 9 D-12-15 A-18, 23-27 A-22, 25, 30 D-5 D-5 D-14-15 At work Class of worker Diffusion index Discouraged workers Earnings, hourly Earnings, weekly A-7 A-7 B-6 B-11 B-11 A-37 B-2, 15-18 B-2, 15, 17-18 Educational attainment Employment by: Age Hispanic or Latino ethnicity Industry A-5 A-16, 17 A-3-4, 6, 8 A-4 B-3-5, 7 A-13-16, 18, 19, 22 D-1-2, 4, 6 D-2 A-14-18, 20 A-21; B-12-14 Occupation Race A-4 A-19-21 A-13, 15-18, 20 D-5 D-2 D-14-15 D-12, 14, 16 Sex A-2-4, 6, 8; B-4 A-13-20, 22; B-13 D-1-2, 4-6 D-12-16 A-6 A-18, 34 D-4 D-14-15 B-8-10 A-18, 23-27; B-2, 15, 18 A-8-10 A-26, 28, 35 D-5, 9 A-7 A-38 A-22-26 D-1, 5 A-6 A-37 A-18 D-4 B-5, 8-9, 11 B-12, 15-18 B-7; C-1-2 A-16 B-14, 18; C-3 Full-time workers Historical data Hours of work Jobsearch methods Marital status Minimum-wage workers Multiple jobholders Nonagricultural industries Not in the labor force Part-time workers Production or nonsupervisory workers School enrollment State, region, and area data Unemployment by: Age A-3-4, 6, 9-10 Duration Hispanic or Latino ethnicity Industry of last job Occupation of last job Race A-12 A-4 Reason Sex A-11 A-2-4, 6, 9-10 Union affiliation Annual averages A-4 A-13-16, 18, 28 31,33, 35 A-33-36 A-14-18, 28, 32, 35 A-30, 36 A-29, 36 A-13, 15-18, 28, 32, 35 A-31-35 A-13-18, 28-31, 33, 35 D-20-22 D-3 D-12-13, 16 D-12-16 D-14-15 A-1-2; 1-2, 5-6, 12-13, 15, 1718, 26, 32 19-23 12-13, 15-16 35 B-2,15-17; 52; 2 B-2, 15, 17; 37-39, 52; 2 7 3-6, 8-9, 14-15 4-7, 11-13, 18 B-1, 12-13; 16-18; 50; 1 9-13, 17 3, 5, 7-8, 10-12, 14, 17-18 B-13; 2-18 8, 12-13, 30 A-1-2; B-1-2; 1-2 B-15; 19-23, 52; 2 33-34 24, 31 44-45 36 A-1-2; 1-2, 5-6, 12-13, 15 35 8, 12-13 B-12, 15-17; 51-52 1-5 D-1-2, 7-8 D-12-13, 17 D-11 D-2 D-9 D-9 D-2 D-19 D-12-13, 17-19 D-12, 17-21 D-10 D-1-2, 7-8 D-18 D-12-13, 17 3-6, 8, 24, 27, 29 33 29-32 4-7, 28 26, 32 25, 32 3, 5, 7-8, 24, 28, 31,33 27-29 2-8, 24, 25-27, 29, 31, 33-35 40-43 Cooperating State Agencies Current Employment Statistics (CES) and State and Local Area Unemployment Statistics (LAUS) Programs NEVADA Employment Security Department, Research and Analysis Bureau, 500 East 3rd St., Carson City 89713 NEW HAMPSHIRE Department of Employment Security, Economic and Labor Market Infoimation Bureau, 32 South Main St., Concord 03301 Employment Security Department, Labor Market Information, P.O. Box 2981, Little Rock 72203-2981 NEW JERSEY CALIFORNIA Employment Development Department, Labor Market Information Division, 7000 Franklin Blvd., Suite 1100, Sacramento 95823 Department of Labor, Labor Market and Demographic Research, P.O. Box 388, Trenton 08625 NEW MEXICO COLORADO Department of Labor and Employment, Tower 2, Suite 300,1515 Arapahoe Ave., Denver 80202-2117 Department of Labor, Economic Research and Analysis Bureau, PO. Box 1928, Albuquerque 87103 CONNECTICUT Department of Labor, Office of Research, 200 Folly Brook Blvd., Wethersfield 06109 NEWYORK Department of Labor, Division of Research and Statistics, State Campus, Room 400, Bldg. 12, Albany 12240-0020 DELAWARE Department of Labor, Office of Occupational and Labor Market Information, P.O. Box 9965, Wilmington 19809 NORTH CAROLINA Employment Security Commission, Labor Market Information Division, P.O. Box 25903, Raleigh 27611 NORTH DAKOTA Job Service, P.O. Box 5507, Bismark 58502 OHIO Bureau of Employment Services, Labor Market Information Division, 78-80 Chestnut St., Columbus 43215 OKLAHOMA Employment Security Commission, Economic Research and Analysis Division, 2401 North Lincoln Blvd., Oklahoma City 73105 OREGON Employment Department, 875 Union St., NE., Salem 97311 PENNSYLVANIA Department of Labor and Industry, Centerfor Workforce Information and Analysis, Labor and Industry Bldg., Room 220, Seventh and Forster Sts., Harrisburg 17121 -0001 ALABAMA Department of Industrial Relations, Room 427, Industrial Relations Bldg., Montgomery 36130 ALASKA Department of Labor, Research and Analysis Section, P.O. Box 21149, Juneau 99802-5501 ARIZONA Department of Economic Security, 1789 West Jefferson St., Phoenix 85007 ARKANSAS DISTRICT OF COLUMBIA Department of Employment Services, Office of Policy, Legislative and Statistical Analysis, Room 3304,77 P Street, NE„ Washington, DC 20002 FLORIDA Agency for Workforce Innovation, Labor Market Statistics, 367 Marpan Lane, Bldg. B, Tallahassee 32305-0902 GEORGIA Department of Labor, Workforce Information and Analysis, 148 International Blvd., NE., CWC 300, Atlanta 30303-1751 HAWAII Department of Labor and Industrial Relations, Research and Statistics Office, Room 304, 830 Punchbowl St., Honolulu 96813 IDAHO Department of Labor, 317 West Main St., Boise 83735 ILLINOIS Department of Employment Security, Economic Information and Analysis Division, (7 North), 401 South State St., Chicago 60605 PUERTO RICO Department of Labor and Human Resources, Bureau of Labor Statistics, 17th Floor, 505 Munoz Rivera Ave., San Juan 00918 INDIANA Department of Workforce Development, Labor Market Information, 10 North Senate Ave., Indianapolis 46204 RHODE ISLAND Department of Labor and Training, Labor Market Information, 1511 Pontiac Avenue, Cranston 02920 SOUTH CAROLINA IOWA Workforce Development, 1000 East Grand Ave., Des Moines 50319 Employment Security Division, Labor Market Information, P.O. Box 995, Columbia 29202 SOUTH DAKOTA KANSAS Department of Human' Resources, Labor Market Information Services, 401 SW. Topeka Ave., Topeka 66603 Department of Labor, Labor Market Information Center, P.O. Box 4730, Aberdeen 57402-4730 TENNESSEE KENTUCKY Workforce Development Cabinet, Department for Employment Services, Research and Statistics Branch, 275 East Main Street 2W, Frankfort 40601 Department of Labor and Workforce Development, Research and Statistics Division, 500 James Robertson Parkway, 11 Floor, Nashville 37245-1000 LOUISIANA Department of Labor, Research and Statistics Division, P.O. Box 94094, Baton Rouge 70804-9094 TEXAS MAINE Department of Labor, Division of Labor Market Information Services, 20 Union St., Augusta 04330 Workforce Commission, Economic Research and Analysis, 9001 North IH-35, Suite 103A, Austin 78753 UTAH MARYLAND Department of Labor, Licensing, and Regulations, Office of Labor Market Analysis and Information, Room 316,1100 North EutawSt., Baltimore 21201 Department of Workforce Services, Workforce Information, 140 East 300 South, P.O. Box 45249, Salt Lake City 84114 VERMONT MASSACHUSETTS Division of Employment and Training, Charles F. Hurley Bldg.,19 Stamford St., Boston 02114 Department of Employment and Training, Labor Market Information, P.O. Box 488, Montpelier05601 MICHIGAN Department of Career Development, Employment Service Agency, Office of Labor Market Information, Cadillac Place, 3032 West Grand Blvd., 9lh Floor, Detroit, 48202 VIRGINIA Employment Commission, Economic Information Services Division, P.O. Box 1358, Richmond 23218-1358 VIRGIN ISLANDS MINNESOTA Department of Economic Security, Research and Statistical Services, 5lh Floor, 390 North Robert St., St. Paul 55101 Department of Labor, Bureau of Labor Statistics, 53-A, 54-A&B Kronprindsens Gade, Charlotte Amalie, St. Thomas 00801-3359 (CES) WASHINGTON MISSISSIPPI Employment Security Commission, Labor Market Information Department, P.O. Box 1699, Jackson 39215-1699 Employment Security Department, Labor Market and Economic Analysis Branch, P.O. Box 9046, Olympia 98507-9046 WEST VIRGINIA MISSOURI Department of Economic Development, Economic Research and Information Center, P.O. Box 3150, Jefferson City 65102-3150 Bureau of Employment Programs Research, Information Analysis, 112 California Ave., Charleston 25305 WISCONSIN MONTANA Department of Labor and Industry, Research and Analysis, P.O. Box 1728, Helena 59624 Department of Workforce Development, Bureau of Workforce Information, 201 East Washington Ave., Madison 53707 NEBRASKA Department of Labor, Labor Market Information, P.O. Box 94600, Lincoln 68509-4600 WYOMING Employment Resources Division, Research and Planning, PO. Box 2760, Casper 82602 U S. DEPARTMENT OF LABOR Bureau of Labor Statistics Postal Square Building. Rm. 2 8 5 0 2 Massachusetts Ave . NE Washington. DC 20212-0001 Official Business Penalty for Private Use. S300 Address Service Requested PERIODICALS Postage and Fees Paid U.S. Department of Labor (USPS 485-010)