The full text on this page is automatically extracted from the file linked above and may contain errors and inconsistencies.
Technical information: (202) 691-6567 http://www.bls.gov/cewhome.htm Media contact: 691-5902 USDL 01-318 For release: 10:00 A.M. EDT Friday, September 28, 2001 AVERAGE ANNUAL PAY IN METROPOLITAN AREAS, 2000 Average annual pay of employees in the nation's 318 metropolitan areas increased by 6.0 percent from 1999 to 2000, according to preliminary data from the Bureau of Labor Statistics of the U.S. Department of Labor. The over-the-year gain was larger than last year's rise of 4.4 percent. Annual pay in metropolitan areas averaged $36,986 in 2000, up from $34,890 in 1999. Average annual pay for the entire nation, metropolitan and nonmetropolitan areas combined, was $35,296 in 2000, a 5.9 percent increase from 1999. (Average Annual Pay by State and Industry, 2000, was issued on Sept. 11, 2001, in USDL 01-295.) Average annual pay data are compiled from reports submitted by employers subject to state and federal unemployment insurance (UI) laws covering 129.9 million full- and part-time jobs. Average annual pay is computed by dividing the total annual payrolls of employees covered by UI programs by the average monthly number of these employees. (See Technical Note.) Pay differences between areas reflect the varying composition of employment by occupation, industry, and hours of work, as well as other factors. Similarly, over-the-year pay changes may reflect shifts in these characteristics, as well as changes in the level of average pay. Table 1 of this release contains pay data for Metropolitan and Primary Metropolitan Statistical Areas within the United States and Puerto Rico; table 2 includes averages and rankings for the areas designated as Consolidated Metropolitan Statistical Areas. (See Technical Note for definitions.) The data for the six metropolitan areas within Puerto Rico are not included in the averages for all metropolitan areas. Metropolitan and Primary Metropolitan Statistical Areas San Jose, Calif., led the country with an average annual pay level of $76,076 in 2000. (See table 1.) This area has had the highest average annual pay since 1997. San Francisco, Calif., had the second highest average annual pay level ($59,314), followed by New York, N.Y. ($56,377), New Haven-Bridgeport-Stamford-Waterbury-Danbury, Conn. ($50,585), and MiddlesexSomerset-Hunterdon, N.J. ($48,977). Average pay levels in these five metropolitan areas ranged from 32 to 106 percent above the average for all metropolitan areas in the nation. Of the 318 metropolitan areas in the nation, 34 reported average annual pay levels above the national metropolitan pay average of $36,986. ---------------------------------------------------------------------| Average annual pay in this release is based on the 1987 version of | | the Standard Industrial Classification system. The data for 2001 | | will be based on the North American Industry Classification System. | | See page 3 for additional information. | ---------------------------------------------------------------------- 2 Excluding metropolitan areas within Puerto Rico, Jacksonville, N.C., had the lowest average annual pay in 2000 ($21,057). The second lowest pay occurred in Yuma, Ariz. ($21,487), followed by Brownsville-Harlingen-San Benito, Texas ($21,561), McAllen-Edinburg-Mission, Texas ($21,695), and Myrtle Beach, S.C. ($22,881). These five metropolitan areas have had the lowest average annual pay since 1998. The largest percentage increase in average annual pay from 1999 to 2000 occurred in San Jose, Calif. (24.5 percent). The next largest increases were in San Francisco, Calif. (18.3 percent), Santa Cruz-Watsonville, Calif. (15.5 percent), Boulder-Longmont, Colo. (13.9 percent), and Casper, Wyo. (13.7 percent). From 1999 to 2000, 274 metropolitan areas experienced less than average growth in average annual pay. Of these, seven metropolitan areas had growth of 1.3 percent or less and one metropolitan area reported a decline in average annual pay. Comparison of Metropolitan and Nonmetropolitan Areas Average annual pay within the nation’s nonmetropolitan areas rose by 4.9 percent in 2000, compared with 6.0 percent in metropolitan areas. Average annual pay in nonmetropolitan areas in 2000 was $27,311, up from $26,031 in 1999. In 2000, nonmetropolitan average annual pay was 26 percent less than metropolitan average annual pay, a difference of $9,675. The difference between nonmetropolitan and metropolitan pay has gradually widened over the years. In 1990, the difference between the two pay levels amounted to approximately 16 percent, and, in 1995, the difference was 23 percent. With the exception of 1993 and 1994, growth in total metropolitan average annual pay outpaced that of nonmetropolitan average annual pay over the last 10 years. (MSA historical data are not directly comparable due to revisions of metropolitan area definitions.) Average annual pay is based on place of employment, not residence. Consolidated Metropolitan Statistical Areas Average annual pay for the nation's 18 consolidated metropolitan statistical areas (CMSAs) rose by 7.1 percent from 1999 to 2000, from $39,737 to $42,574. (See table 2.) year's growth rate of 4.9 percent. This was higher than the previous The San Francisco-Oakland-San Jose, Calif., consolidated metropolitan area again had the highest pay level, $56,561. This CMSA has had the highest average annual pay since 1998. The second highest pay level was found in New York-Northern New Jersey-Long Island, N.Y.-N.J.-Conn.-Pa. ($49,707), followed by Boston-Worcester-Lawrence-Lowell-Brockton, Mass-N.H. ($45,191), Washington-Baltimore, D.C.-Md.-Va.-W.Va. ($42,110), and SeattleTacoma-Bremerton, Wash. ($41,953). Miami-Fort Lauderdale, Fla., had the lowest average annual pay level ($33,290) of the consolidated metropolitan areas in the nation for the seventh consecutive year. Cleveland-Akron, Ohio had the second lowest ($34,152), followed by Milwaukee-Racine, Wis. ($34,433), CincinnatiHamilton, Ohio-Ky.-Ind. ($34,598), and Portland-Salem, Ore.-Wash. ($35,830). - 3 The highest percentage increase in average annual pay from 1999 to 2000 was in the San Francisco-Oakland-San Jose, Calif., consolidated metropolitan area, at 17.7 percent. The next largest increases were in Boston-Worcester-Lawrence-Lowell-Brockton, Mass.-N.H. (10.5 percent), Denver-Boulder-Greeley, Colo. (9.3 percent), Houston-Galveston-Brazoria, Texas (7.4 percent), and Portland-Salem, Ore.-Wash. (7.2 percent). None of the consolidated metropolitan areas reported a decline in average annual pay in 2000. The smallest increases occurred in MilwaukeeRacine, Wis., and Seattle-Tacoma-Bremerton, Wash. (3.3 percent), DetroitAnn Arbor-Flint, Mich. (3.7 percent), Cleveland-Akron, Ohio (3.8 percent), and Cincinnati-Hamilton, Ohio-Ky.-Ind. (3.9 percent). ------------------------------------------------------------------------| 2000 average annual pay and other data from the Covered Employment | | and Wages program are available on the BLS Web site at http://www.bls. | | gov/cewnote.htm. | ------------------------------------------------------------------------------------------------------------------------------------------------| Change in Industry Classification Systems | | | | The year 2000 data will be the last from the Covered Employment | | and Wages (ES-202) program using the 1987 Standard Industrial Classi| | fication (SIC) system. Beginning with the release of data for 2001, | | the program will switch to the 2002 version of the North American | | Industry Classification System (NAICS) as the basis for the assign| | ment and tabulation of economic data by industry. NAICS is the product | | of a cooperative effort on the part of the statistical agencies of the | | United States, Canada, and Mexico. Due to differences in NAICS and SIC | | structures, data for 2001 will not be comparable to the SIC-based data | | for earlier years. | | | | NAICS uses a production-oriented approach to categorize economic | | units. Units with similar production processes are classified in the | | same industry. NAICS focuses on how products and services are created, | | as opposed to the SIC focus on what is produced. This approach yields | | significantly different industy groupings than those produced by the | | SIC approach. | | | | Data users will be able to work with new NAICS industrial groupings | | that better reflect the workings of the U.S. economy. For example, a | | new industry sector called Information brings together units that | | turn information into a commodity with units that distribute the com| | modity and units that provide information services. Information's ma- | | jor components are publishing, broadcasting, telecommunications, infor- | | mation services, and data processing. Under the SIC sysem, these | | units were spread across the manufacturing, communications, business | | services, and amusement services groups. Another new sector of inter- | | est is Professional, Scientific, and Technical Services. This sector | | is comprised of establishments engaged in activities where human | | capital is the major input. | | | | Users interested in more information about NAICS can access the | | U.S. Census Bureau Web site at http://www.census.gov/epcd/www/naics. | | html. In 2002, BLS will provide ratio tables that can be used to | | convert historic SIC series to a NAICS basis at http://www.bls.gov/ | | cewhome.htm. In 2002, the NAICS 2002 manual will be available from | | the Government Printing Office (GPO). In the meantime, the NAICS 1997 | | manual is available from GPO to supplement the information on the | | Census Web site referenced above. | ------------------------------------------------------------------------- | Technical Note These data are the product of a federal-state cooperative program known as Covered Employment and Wages, or the ES-202 program. The data are derived from summaries of employment and total pay of workers covered by unemployment insurance (UI) legislation and provided by State Employment Security Agencies (SESAs). The summaries are a by-product of the administration of state unemployment insurance programs that require most employers to pay quarterly taxes based on the employment and wages of workers covered by UI. Data for 2000 are preliminary and subject to revision. Coverage Employment and wage data for workers covered by state UI laws and for federal civilian workers covered by the Unemployment Compensation for Federal Employees (UCFE) program are compiled from quarterly contribution reports submitted to the SESAs by employers. In addition to the quarterly contribution reports, employers who operate multiple establishments within a state complete a questionnaire, called the "Multiple Worksite Report," which provides detailed information on the location and industry of each of their establishments. Average annual pay data included in this release are derived from microdata summaries of 7.9 million employer reports of employment and wages submitted by states to the Bureau of Labor Statistics. These reports are based on place of employment rather than place of residence. UI and UCFE coverage is broad and basically comparable from state to state. In 2000, UI and UCFE programs covered workers in 129.9 million jobs. The estimated 124.9 million workers in these jobs (after adjustment for multiple jobholders) represented 99.8 percent of wage and salary civilian employment. Multiple jobholder estimates are produced by the Current Population Survey. Covered workers received $4.586 trillion in pay, representing 96.2 percent of the wage and salary component of personal income and 46.0 percent of the gross domestic product. About 83 percent of all covered workers were employed in metropolitan areas. Total wages of workers in metropolitan areas comprised approximately 86 percent of all covered wages in the United States. Major exclusions from UI coverage during 2000 included most agricultural workers on small farms, all members of the Armed Forces, elected officials in most states, most employees of railroads, some domestic workers, most student workers at schools, and employees of certain small nonprofit organizations. Concepts and methodology Average annual pay was computed by dividing total annual pay of employees covered by UI programs by the average monthly number of these employees. Included in the annual payroll data are bonuses, the cash value of meals and lodging when supplied, tips and other gratuities, and, in some states, employer contributions to certain deferred compensation plans, such as 401(k) plans, and stock options. Monthly employment is based on the number of workers who worked during or received pay for the pay period including the 12th of the month. With few exceptions, all employees of covered firms are reported, including production and sales workers, corporation officials, executives, supervisory personnel, and clerical workers. Workers on paid vacation and part-time workers are also included. Percent changes in average annual pay were computed using final 1999 data as the base. These final 1999 data may differ from the preliminary 1999 data previously published. Average annual pay is affected by the ratio of full-time to part-time workers as well as the number of individuals in high-paying and low-paying occupations. When comparing average annual pay levels among metropolitan areas, these factors should be taken into consideration. Annual pay data only approximate annual earnings because an individual may not be employed by the same employer all year or may work for more than one employer. Also, year-to-year changes in average annual pay can result from a change in the proportion of employment in high- and low-wage jobs, as well as from changes in the level of average annual pay. In order to insure the highest possible quality of data, SESAs verify with employers and update, if necessary, the industry, location, and ownership classifications of all establishments on a 3-year cycle. Changes in establishment classification codes resulting from the verification process are introduced with the data reported for the first quarter of the year. Changes resulting from improved employer reporting also are introduced in the first quarter. For these reasons, some data, especially at more detailed geographic levels, may not be strictly comparable with earlier years. The Office of Management and Budget (OMB) defines metropolitan areas for use in federal statistical activities and updates these definitions as needed each summer. Data in this release use metropolitan area criteria established by OMB in definitions issued June 30, 1999 (OMB Bulletin No. 9904). These definitions reflect information obtained from the 1990 Decennial Census and the 1998 U.S. Census Bureau population estimate. Metropolitan statistical area definitions are typically redefined on a yearly basis. A complete list of metropolitan area definitions is available from the National Technical Information Service (NTIS), Document Sales, 5205 Port Royal Road, Springfield, Va. 22161, telephone 1-800-5536847. Generally speaking, a Metropolitan Statistical Area (MSA) is a freestanding urban area that meets a specified size criteria. Primary Metropolitan Statistical Areas (PMSAs) are free-standing areas within very large MSAs. Once an area is identified as a PMSA, the term MSA no longer is used to describe the area. The large metropolitan area that is the sum of the PMSAs is called a Consolidated Metropolitan Statistical Area (CMSA). The set of areas known as MSAs, PMSAs, and CMSAs are collectively designated and referred to as metropolitan areas. Nonmetropolitan areas include counties which do not fall within defined metropolitan areas and also establishments classified as foreign locations with U.S. workers, outof-state locations, and unknown locations. Current metropolitan area definitions are based on standards published in the Federal Register on March 30, 1990 (55 FR12154-12160). Under the 1990 standards, an area qualifies for recognition as an MSA in one of two ways: (1) if it includes a city of at least 50,000 population, or (2) if it includes a U.S. Census Bureau-defined urbanized area (of at least 50,000 population) and has a total metropolitan population of at least 100,000 (75,000 in New England). In addition to the county(ies) containing the main city or urbanized area, an MSA may include additional counties that have strong economic and social ties to the central county(ies) and meet other specified requirements of metropolitan character. The ties are determined chiefly by census data on commuting to work. An MSA may contain more than one city of 50,000 population and may cross state lines. An area that meets these requirements for recognition as an MSA but also has a total population of one million or more may be recognized as a CMSA if: (1) separate component areas can be identified within the entire area by meeting specified statistical criteria, and (2) local opinion indicates there is support for the component areas. If recognized, the component areas are designated PMSAs, and the entire area becomes a CMSA. If no PMSAs are recognized, the entire area is an MSA. OMB defines metropolitan areas in terms of entire counties, except in the six New England states where they are defined in terms of cities and towns. New England data in this news release, however, are based on a county concept defined by OMB as New England County Metropolitan Areas (NECMAs) because county-level data are the most detailed available from the Covered Employment and Wages program. NECMAs are county-based alternatives to the city- and town-based metropolitan areas in New England. The NECMA for an MSA or CMSA includes: (1) the county containing the first-named city in that MSA/CMSA title (this county may include the first-named cities of other MSAs/CMSAs), and (2) each additional county having at least half its population in the MSA(s)/CMSA(s) whose first-named cities are in the county identified in step 1. Additional statistics and other information Average annual employment and pay data by state and county are available upon request from the Division of Administrative Statistics and Labor Turnover, Bureau of Labor Statistics, U.S. Department of Labor, Washington, DC 20212, telephone 202-691-6567 (e-mail: CEWInfo@bls.gov). BLS issues three other reports which provide data from state UI and UCFE programs. The 2000 news release for average annual pay by state and industry was issued on Sept. 11, 2001 (USDL 01-295), and employment and average annual pay for large counties will be issued later this fall. Also published from this program is the comprehensive bulletin, Employment and Wages, which features information by detailed industry on establishments, employment, and wages for the nation and all states. Employment and Wages Annual Averages, 2000 will be available for sale in late 2001 from the BLS Publications Sales Center, P.O. Box 2145, Chicago, Illinois 60690. This news release, along with other BLS statistics and information, is available via the Internet at the BLS Internet site (http://www.bls.gov/newsrels.htm). Information in this release will be made available to sensory-impaired individuals upon request. Voice phone: 202-691-5200; TDD message referral phone number: 1-800-877-8339. Table 1. Average annual pay for 1999 and 2000 for all covered workers(1) by metropolitan area Average annual pay 1999 2000(3) Percent change, 1999-2000 Ranking of areas by level of average annual pay for 2000 Metropolitan areas(4)............................... $34,890 $36,986 6.0 - Abilene, TX........................................... Akron, OH............................................. Albany, GA............................................ Albany-Schenectady-Troy, NY........................... Albuquerque, NM....................................... Alexandria, LA........................................ Allentown-Bethlehem-Easton, PA........................ Altoona, PA........................................... Amarillo, TX.......................................... Anchorage, AK......................................... 22,997 30,976 26,750 31,899 28,935 24,023 32,188 25,358 25,623 35,706 24,487 32,166 27,655 33,815 30,397 24,926 33,046 26,296 26,394 36,619 6.5 3.8 3.4 6.0 5.1 3.8 2.7 3.7 3.0 2.6 299 89 213 66 132 288 77 254 250 36 Ann Arbor, MI......................................... Anniston, AL.......................................... Appleton-Oshkosh-Neenah, WI........................... Asheville, NC......................................... Athens, GA............................................ Atlanta, GA........................................... Atlantic-Cape May, NJ................................. Auburn-Opelika, AL.................................... Augusta-Aiken, GA-SC.................................. Austin-San Marcos, TX................................. 35,773 24,593 30,776 26,537 26,715 37,303 28,989 24,627(5) 28,590 38,940 37,446 25,252 31,824 27,521 27,649 39,704 29,974 24,790(6) 29,699 41,012 4.7 2.7 3.4 3.7 3.5 6.4 3.4 0.7 3.9 5.3 32 274 97 218 214 24 141 292 148 20 Bakersfield, CA....................................... Baltimore, MD......................................... Bangor, ME............................................ Barnstable-Yarmouth, MA............................... Baton Rouge, LA....................................... Beaumont-Port Arthur, TX.............................. Bellingham, WA........................................ Benton Harbor, MI..................................... Bergen-Passaic, NJ.................................... Billings, MT.......................................... 27,034 33,862 26,219 29,713 28,786 30,243 25,612 30,043 41,511 25,551 28,536 35,578 26,774 29,718 29,242 30,716 26,307 30,906 43,789 26,744 5.6 5.1 2.1 0.0 1.6 1.6 2.7 2.9 5.5 4.7 181 46 243 147 165 125 252 120 14 244 Biloxi-Gulfport-Pascagoula, MS........................ Binghamton, NY........................................ Birmingham, AL........................................ 26,351 29,174 32,092 27,635 30,216 33,284 4.9 3.6 3.7 215 135 69 Metropolitan area(2) Bismarck, ND.......................................... Bloomington, IN....................................... Bloomington-Normal, IL................................ Boise City, ID........................................ Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH...... Boulder-Longmont, CO.................................. Brazoria, TX.......................................... 24,794 26,133 32,895 29,862 40,892 40,002 33,264 25,812 27,390 34,226 32,480 45,191 45,565 34,361 4.1 4.8 4.0 8.8 10.5 13.9 3.3 268 222 61 85 10 8 60 Bremerton, WA......................................... Brownsville-Harlingen-San Benito, TX.................. Bryan-College Station, TX............................. Buffalo-Niagara Falls, NY............................. Burlington, VT........................................ Canton-Massillon, OH.................................. Casper, WY............................................ Cedar Rapids, IA...................................... Champaign-Urbana, IL.................................. Charleston-North Charleston, SC....................... 29,114 20,998 23,441 30,489 31,721 27,743 25,682 32,506 28,017 26,394 30,543 21,561 24,627 31,421 33,122 28,353 29,196 34,109 29,158 27,634 4.9 2.7 5.1 3.1 4.4 2.2 13.7 4.9 4.1 4.7 128 315 295 111 75 189 168 62 170 216 Charleston, WV........................................ Charlotte-Gastonia-Rock Hill, NC-SC................... Charlottesville, VA................................... Chattanooga, TN-GA.................................... Cheyenne, WY.......................................... Chicago, IL........................................... Chico-Paradise, CA.................................... Cincinnati, OH-KY-IN.................................. Clarksville-Hopkinsville, TN-KY....................... Cleveland-Lorain-Elyria, OH........................... 29,113 34,374 29,394 28,270 25,234 39,525 24,147 33,627 23,744 33,435 30,110 36,193 31,075 29,331 25,928 41,549 25,100 35,049 24,967 34,704 3.4 5.3 5.7 3.8 2.8 5.1 3.9 4.2 5.2 3.8 139 40 117 160 267 18 281 50 285 55 Colorado Springs, CO.................................. Columbia, MO.......................................... Columbia, SC.......................................... Columbus, GA-AL....................................... Columbus, OH.......................................... Corpus Christi, TX.................................... Corvallis, OR......................................... Cumberland, MD-WV..................................... Dallas, TX............................................ Danville, VA.......................................... 30,678 26,551 27,935 26,134 32,400 26,945 33,693(5) 24,083 39,259 24,693 33,036 27,366 29,036 26,983 33,946 28,175 35,355(6) 24,532 42,133 25,139 7.7 3.1 3.9 3.2 4.8 4.6 4.9 1.9 7.3 1.8 78 223 174 236 63 196 47 297 17 279 Davenport-Moline-Rock Island, IA-IL................... Dayton-Springfield, OH................................ Daytona Beach, FL..................................... Decatur, AL........................................... Decatur, IL........................................... Denver, CO............................................ Des Moines, IA........................................ Detroit, MI........................................... 29,252 32,360 23,650 28,933 32,062 38,115 32,270 40,781 30,510 33,172 24,901 29,409 32,599 41,413 33,066 42,303 4.3 2.5 5.3 1.6 1.7 8.7 2.5 3.7 130 74 289 158 82 19 76 16 Dothan, AL............................................ Dover, DE............................................. 25,944 26,425 27,239 27,052 5.0 2.4 229 233 Dubuque, IA........................................... Duluth-Superior, MN-WI................................ Dutchess County, NY................................... Eau Claire, WI........................................ El Paso, TX........................................... Elkhart-Goshen, IN.................................... Elmira, NY............................................ Enid, OK.............................................. Erie, PA.............................................. Eugene-Springfield, OR................................ 26,592 27,189 35,274 25,316 24,282 29,648 26,599 22,700 27,873 26,932 27,322 28,255 36,063 26,626 25,067 30,353 27,659 23,262 28,372 27,867 2.7 3.9 2.2 5.2 3.2 2.4 4.0 2.5 1.8 3.5 226 192 42 246 282 134 212 311 187 205 Evansville-Henderson, IN-KY........................... Fargo-Moorhead, ND-MN................................. Fayetteville, NC...................................... Fayetteville-Springdale-Rogers, AR.................... Flagstaff, AZ-UT...................................... Flint, MI............................................. Florence, AL.......................................... Florence, SC.......................................... Fort Collins-Loveland, CO............................. Fort Lauderdale, FL................................... 29,162 25,969 25,123 27,702 23,815 35,808 24,815 26,358 30,020 31,208 29,934 27,003 26,098 28,947 24,673 36,418 25,140 27,462 32,394 33,232 2.6 4.0 3.9 4.5 3.6 1.7 1.3 4.2 7.9 6.5 143 235 261 175 294 39 278 220 87 72 Fort Myers-Cape Coral, FL............................. Fort Pierce-Port St. Lucie, FL........................ Fort Smith, AR-OK..................................... Fort Walton Beach, FL................................. Fort Wayne, IN........................................ Fort Worth-Arlington, TX.............................. Fresno, CA............................................ Gadsden, AL........................................... Gainesville, FL....................................... Galveston-Texas City, TX.............................. 26,458 26,021 24,745 23,836 30,048 32,941 24,748 24,776 25,180 28,382 28,138 26,978 25,950 25,246 30,844 34,587 25,956 25,252 26,150 29,531 6.3 3.7 4.9 5.9 2.6 5.0 4.9 1.9 3.9 4.0 198 237 266 276 122 57 265 275 259 154 Gary, IN.............................................. Glens Falls, NY....................................... Goldsboro, NC......................................... Grand Forks, ND-MN.................................... Grand Junction, CO.................................... Grand Rapids-Muskegon-Holland, MI..................... Great Falls, MT....................................... Greeley, CO........................................... Green Bay, WI......................................... Greensboro--Winston-Salem--High Point, NC............. 30,454 26,150 23,812 23,383 25,313 31,990 23,154 27,383 30,637 29,752 31,493 27,366 24,532 24,288 26,223 32,994 23,893 29,273 31,520 30,897 3.4 4.7 3.0 3.9 3.6 3.1 3.2 6.9 2.9 3.8 109 224 298 303 256 79 305 161 107 121 Greenville, NC........................................ Greenville-Spartanburg-Anderson, SC................... 26,520 28,693 27,711 29,761 4.5 3.7 209 146 Hagerstown, MD........................................ Hamilton-Middletown, OH............................... Harrisburg-Lebanon-Carlisle, PA....................... Hartford, CT.......................................... Hattiesburg, MS....................................... Hickory-Morganton-Lenoir, NC.......................... Honolulu, HI.......................................... Houma, LA............................................. 27,608 30,963 31,492 40,059 23,608 25,933 30,993 27,094 28,410 31,520 32,345 42,394 24,302 26,840 31,871 28,365 2.9 1.8 2.7 5.8 2.9 3.5 2.8 4.7 186 108 88 15 302 240 96 188 Houston, TX........................................... Huntington-Ashland, WV-KY-OH.......................... Huntsville, AL........................................ Indianapolis, IN...................................... Iowa City, IA......................................... Jackson, MI........................................... Jackson, MS........................................... Jackson, TN........................................... Jacksonville, FL...................................... Jacksonville, NC...................................... 38,107 25,560 34,177 33,658 28,594 30,797 28,055 27,785 30,039 20,278 40,986 26,421 35,650 34,880 30,204 31,703 29,205 28,664 31,427 21,057 7.6 3.4 4.3 3.6 5.6 2.9 4.1 3.2 4.6 3.8 21 248 45 54 136 101 166 180 110 317 Jamestown, NY......................................... Janesville-Beloit, WI................................. Jersey City, NJ....................................... Johnson City-Kingsport-Bristol, TN-VA................. Johnstown, PA......................................... Jonesboro, AR......................................... Joplin, MO............................................ Kalamazoo-Battle Creek, MI............................ Kankakee, IL.......................................... Kansas City, MO-KS.................................... 24,814 30,496 43,046 26,117 24,026 24,388 24,248 31,194 27,312 33,030 25,418 31,136 47,514 27,250 24,348 25,106 25,028 32,026 28,490 34,993 2.4 2.1 10.4 4.3 1.3 2.9 3.2 2.7 4.3 5.9 271 116 7 228 300 280 283 93 183 51 Kenosha, WI........................................... Killeen-Temple, TX.................................... Knoxville, TN......................................... Kokomo, IN............................................ La Crosse, WI-MN...................................... Lafayette, LA......................................... Lafayette, IN......................................... Lake Charles, LA...................................... Lakeland-Winter Haven, FL............................. Lancaster, PA......................................... 30,083 23,879 28,589 39,651 25,972 26,121 29,305 27,972 26,928 29,447 31,394 24,894 29,514 40,240 26,831 27,478 30,543 28,179 28,023 30,711 4.4 4.3 3.2 1.5 3.3 5.2 4.2 0.7 4.1 4.3 112 290 155 22 241 219 129 195 202 126 Lansing-East Lansing, MI.............................. Laredo, TX............................................ Las Cruces, NM........................................ Las Vegas, NV-AZ...................................... Lawrence, KS.......................................... Lawton, OK............................................ Lewiston-Auburn, ME................................... 32,358 22,648 22,798 30,632 23,639 23,086 25,364 33,908 23,570 23,602 31,663 24,961 23,820 26,193 4.8 4.1 3.5 3.4 5.6 3.2 3.3 64 309 308 103 286 306 257 Lexington, KY......................................... Lima, OH.............................................. Lincoln, NE........................................... 29,253 28,181 27,431 30,378 28,813 28,511 3.8 2.2 3.9 133 178 182 Little Rock-North Little Rock, AR..................... Longview-Marshall, TX................................. Los Angeles-Long Beach, CA............................ Louisville, KY-IN..................................... Lubbock, TX........................................... Lynchburg, VA......................................... Macon, GA............................................. Madison, WI........................................... Mansfield, OH......................................... McAllen-Edinburg-Mission, TX.......................... 28,608 25,847 37,788 30,616 24,731 26,854 28,345 31,101 27,232 21,111 29,621 26,701 39,671 31,824 26,302 27,660 29,501 32,817 28,193 21,695 3.5 3.3 5.0 3.9 6.4 3.0 4.1 5.5 3.5 2.8 152 245 25 98 253 211 156 80 194 314 Medford-Ashland, OR................................... Melbourne-Titusville-Palm Bay, FL..................... Memphis, TN-AR-MS..................................... Merced, CA............................................ Miami, FL............................................. Middlesex-Somerset-Hunterdon, NJ...................... Milwaukee-Waukesha, WI................................ Minneapolis-St. Paul, MN-WI........................... Missoula, MT.......................................... Mobile, AL............................................ 25,672 29,955 32,429 23,499 32,067 46,200 33,372 37,229 24,127 26,583 26,565 32,107 33,248 24,793 33,328 48,977 34,612 39,549 25,321 27,288 3.5 7.2 2.5 5.5 3.9 6.0 3.7 6.2 4.9 2.7 247 91 71 291 68 5 56 26 273 227 Modesto, CA........................................... Monmouth-Ocean, NJ.................................... Monroe, LA............................................ Montgomery, AL........................................ Muncie, IN............................................ Myrtle Beach, SC...................................... Naples, FL............................................ Nashville, TN......................................... Nassau-Suffolk, NY.................................... New Haven-Bridgeport-Stamford-Waterbury-Danbury, CT... 27,009 34,610 25,354 27,333 26,777 21,701 28,021 31,717 36,948 47,133 28,202 36,463 25,735 28,157 28,075 22,881 29,941 33,268 38,941 50,585 4.4 5.4 1.5 3.0 4.8 5.4 6.9 4.9 5.4 7.3 193 38 269 197 199 313 142 70 29 4 New London-Norwich, CT................................ New Orleans, LA....................................... New York, NY.......................................... Newark, NJ............................................ Newburgh, NY-PA....................................... Norfolk-Virginia Beach-Newport News, VA-NC............ Oakland, CA........................................... Ocala, FL............................................. Odessa-Midland, TX.................................... Oklahoma City, OK..................................... 35,404 29,360 52,467 44,647 27,671 27,148 40,994 24,156 27,772 26,838 36,727 29,859 56,377 48,733 28,934 28,279 44,170 24,938 29,264 28,267 3.7 1.7 7.5 9.2 4.6 4.2 7.7 3.2 5.4 5.3 35 144 3 6 176 190 13 287 162 191 Olympia, WA........................................... 29,701 31,722 6.8 100 Omaha, NE-IA.......................................... Orange County, CA..................................... Orlando, FL........................................... Owensboro, KY......................................... Panama City, FL....................................... Parkersburg-Marietta, WV-OH........................... Pensacola, FL......................................... Peoria-Pekin, IL...................................... Philadelphia, PA-NJ................................... 30,079 37,452 28,718 25,084 24,298 26,806 25,182 31,790 37,333 31,233 39,208 30,197 25,980 25,027 27,366 26,269 32,096 39,197 3.8 4.7 5.2 3.6 3.0 2.1 4.3 1.0 5.0 115 27 137 263 284 225 255 92 28 Phoenix-Mesa, AZ...................................... Pine Bluff, AR........................................ Pittsburgh, PA........................................ Pittsfield, MA........................................ Pocatello, ID......................................... Portland, ME.......................................... Portland-Vancouver, OR-WA............................. Providence-Warwick-Pawtucket, RI...................... Provo-Orem, UT........................................ Pueblo, CO............................................ 32,430 25,343 33,048 29,616 23,324 30,413 34,382 31,040 26,558 24,594 34,915 26,400 33,837 31,310 24,033 30,752 37,043 32,426 27,910 25,493 7.7 4.2 2.4 5.7 3.0 1.1 7.7 4.5 5.1 3.7 52 249 65 114 304 124 34 86 204 270 Punta Gorda, FL....................................... Racine, WI............................................ Raleigh-Durham-Chapel Hill, NC........................ Rapid City, SD........................................ Reading, PA........................................... Redding, CA........................................... Reno, NV.............................................. Richland-Kennewick-Pasco, WA.......................... Richmond-Petersburg, VA............................... Riverside-San Bernardino, CA.......................... 23,371 32,747 34,803 23,413 30,999 26,065 31,381 30,122 32,987 28,341 24,743 32,538 37,775 24,342 31,995 27,054 32,747 31,533 34,480 29,540 5.9 -0.6 8.5 4.0 3.2 3.8 4.4 4.7 4.5 4.2 293 83 30 301 94 232 81 106 59 153 Roanoke, VA........................................... Rochester, MN......................................... Rochester, NY......................................... Rockford, IL.......................................... Rocky Mount, NC....................................... Sacramento, CA........................................ Saginaw-Bay City-Midland, MI.......................... St. Cloud, MN......................................... St. Joseph, MO........................................ St. Louis, MO-IL...................................... 28,016 35,023 32,582 31,442 26,788 34,269 33,947 26,283 26,016 33,354 29,250 36,111 33,213 31,917 27,735 36,598 35,335 27,408 27,170 34,913 4.4 3.1 1.9 1.5 3.5 6.8 4.1 4.3 4.4 4.7 163 41 73 95 208 37 48 221 230 53 Salem, OR............................................. Salinas, CA........................................... Salt Lake City-Ogden, UT.............................. San Angelo, TX........................................ San Antonio, TX....................................... San Diego, CA......................................... 26,943 28,498 29,498 24,513 28,067 34,722 27,691 29,986 30,960 25,365 29,678 37,516 2.8 5.2 5.0 3.5 5.7 8.0 210 140 118 272 149 31 San Francisco, CA..................................... San Jose, CA.......................................... San Luis Obispo-Atascadero-Paso Robles, CA............ Santa Barbara-Santa Maria-Lompoc, CA.................. 50,125 61,117 26,454 30,099 59,314 76,076 28,067 32,518 18.3 24.5 6.1 8.0 2 1 201 84 Santa Cruz-Watsonville, CA............................ Santa Fe, NM.......................................... Santa Rosa, CA........................................ Sarasota-Bradenton, FL................................ Savannah, GA.......................................... Scranton--Wilkes-Barre--Hazleton, PA.................. Seattle-Bellevue-Everett, WA.......................... Sharon, PA............................................ Sheboygan, WI......................................... Sherman-Denison, TX................................... 31,025 27,585 32,092 26,193 28,690 26,591 43,925 25,402 29,619 28,102 35,826 29,054 35,796 (7) 29,195 27,742 45,171 26,098 30,556 29,671 15.5 5.3 11.5 (7) 1.8 4.3 2.8 2.7 3.2 5.6 43 173 44 (7) 169 207 11 262 127 150 Shreveport-Bossier City, LA........................... Sioux City, IA-NE..................................... Sioux Falls, SD....................................... South Bend, IN........................................ Spokane, WA........................................... Springfield, IL....................................... Springfield, MO....................................... Springfield, MA....................................... State College, PA..................................... Steubenville-Weirton, OH-WV........................... 26,265 25,453 26,959 28,649 27,573 33,988 25,507 30,281 27,968 26,738 27,150 26,188 27,980 29,649 29,771 34,529 26,327 31,644 29,067 28,458 3.4 2.9 3.8 3.5 8.0 1.6 3.2 4.5 3.9 6.4 231 258 203 151 145 58 251 105 171 185 Stockton-Lodi, CA..................................... Sumter, SC............................................ Syracuse, NY.......................................... Tacoma, WA............................................ Tallahassee, FL....................................... Tampa-St. Petersburg-Clearwater, FL................... Terre Haute, IN....................................... Texarkana, TX-Texarkana, AR........................... Toledo, OH............................................ Topeka, KS............................................ 27,920 22,807 30,426 28,644 27,565 29,360 26,408 24,825 30,876 28,468 29,250 23,570 31,383 30,161 28,678 30,781 26,810 25,968 31,645 29,373 4.8 3.3 3.1 5.3 4.0 4.8 1.5 4.6 2.5 3.2 164 310 113 138 179 123 242 264 104 159 Trenton, NJ........................................... Tucson, AZ............................................ Tulsa, OK............................................. Tuscaloosa, AL........................................ Tyler, TX............................................. Utica-Rome, NY........................................ Vallejo-Fairfield-Napa, CA............................ Ventura, CA........................................... Victoria, TX.......................................... Vineland-Millville-Bridgeton, NJ...................... 42,445 28,203 29,285 28,367 28,493 25,876 29,674 33,978 25,710 30,535 44,576 29,204 30,420 29,067 29,485 26,875 32,130 37,102 27,551 31,674 5.0 3.5 3.9 2.5 3.5 3.9 8.3 9.2 7.2 3.7 12 167 131 172 157 239 90 33 217 102 Visalia-Tulare-Porterville, CA........................ Waco, TX.............................................. Washington, DC-MD-VA-WV............................... Waterloo-Cedar Falls, IA.............................. Wausau, WI............................................ West Palm Beach-Boca Raton, FL........................ Wheeling, WV-OH....................................... Wichita, KS........................................... Wichita Falls, TX..................................... Williamsport, PA...................................... 22,701 26,488 42,660 26,569 27,845 32,824 24,794 30,773 23,603 26,092 23,722 27,032 45,333 27,858 28,888 35,219 25,198 31,726 24,602 26,906 4.5 2.1 6.3 4.9 3.7 7.3 1.6 3.1 4.2 3.1 307 234 9 206 177 49 277 99 296 238 Wilmington-Newark, DE-MD.............................. Wilmington, NC........................................ Yakima, WA............................................ Yolo, CA.............................................. York, PA.............................................. Youngstown-Warren, OH................................. Yuba City, CA......................................... Yuma, AZ.............................................. 38,071 27,009 22,402 32,362 29,943 27,925 25,139 20,362 39,899 28,070 23,245 33,395 30,924 28,489 26,140 21,487 4.8 3.9 3.8 3.2 3.3 2.0 4.0 5.5 23 200 312 67 119 184 260 316 Aguadilla, PR......................................... Arecibo, PR........................................... Caguas, PR............................................ Mayaguez, PR.......................................... Ponce, PR............................................. San Juan-Bayamon, PR.................................. 16,766 15,499 17,475 16,054 16,158 19,745 17,489 15,728 17,802 16,086 16,556 19,997 4.3 1.5 1.9 0.2 2.5 1.3 320 323 319 322 321 318 1 Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. 2 Includes data for Metropolitan Statistical Areas and Primary Metropolitan Statistical Areas as defined by OMB Bulletin No. 99-04. In the New England areas, the New England County Metropolitan Area (NECMA) definitions were used. See Technical Note. 3 Data are preliminary. 4 Totals do not include the six MSAs within Puerto Rico. 5 Data are provided for over-the-year comparison purposes only. 6 Data consists of a new MSA. 7 Data are not available for release. Table 2. Average annual pay for 1999 and 2000 for all covered workers(1) by Consolidated Metropolitan Statistical Area Average annual pay Ranking of 1999 2000(3) Percent change, 1999-2000 areas by level of average annual pay for 2000 Consolidated metropolitan statistical areas(4)........ $39,737 $42,574 7.1 - Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH........ Chicago-Gary-Kenosha, IL-IN-WI.......................... Cincinnati-Hamilton, OH-KY-IN........................... Cleveland-Akron, OH..................................... Dallas-Fort Worth, TX................................... Denver-Boulder-Greeley, CO.............................. Detroit-Ann Arbor-Flint, MI............................. Houston-Galveston-Brazoria,TX........................... Los Angeles-Riverside-Orange County, CA................. Miami-Fort Lauderdale, FL............................... 40,892 38,761 33,290 32,897 37,483 37,815 39,901 37,543 36,189 31,728 45,191 40,725 34,598 34,152 40,022 41,345 41,385 40,307 37,975 33,290 10.5 5.1 3.9 3.8 6.8 9.3 3.7 7.4 4.9 4.9 3 8 15 17 10 7 6 9 12 18 Milwaukee-Racine, WI.................................... New York-Northern New Jersey-Long Island, NY-NJ-CT-PA... Philadelphia-Wilmington-Atlantic City, PA-NJ-DE-MD...... Portland-Salem, OR-WA................................... Sacramento-Yolo, CA..................................... San Francisco-Oakland-San Jose, CA...................... Seattle-Tacoma-Bremerton, WA............................ Washington-Baltimore, DC-MD-VA-WV....................... 33,317 46,403 36,745 33,412 34,066 48,057 40,616 39,712 34,433 49,707 38,543 35,830 36,263 56,561 41,953 42,110 3.3 7.1 4.9 7.2 6.4 17.7 3.3 6.0 16 2 11 14 13 1 5 4 San Juan-Caguas-Arecibo, PR............................. 19,339 19,600 1.3 19 Consolidated metropolitan statistical area(2) 1 Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. 2 Includes data for Consolidated Metropolitan Statistical Areas as defined by OMB Bulletin No. 99-04. In the New England areas, the New England County Metropolitan Area (NECMA) definitions were used. See Technical Note. 3 Data are preliminary. 4 Totals do not include the San Juan-Caguas-Arecibo CMSA within Puerto Rico.