Technical information: (202) 691-6567 USDL 01-318 http://www.bls.gov/cewhome.htm For release: 10:00 A.M. EDT Media contact: 691-5902 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 Middlesex- Somerset-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.) This was higher than the previous year's growth rate of 4.9 percent. 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 Seattle- Tacoma-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), Cincinnati- Hamilton, 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 Milwaukee- Racine, Wis., and Seattle-Tacoma-Bremerton, Wash. (3.3 percent), Detroit- Ann 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. 99- 04). 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 1-800-553- 6847. Generally speaking, a Metropolitan Statistical Area (MSA) is a free- standing 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, out- of-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 Ranking of areas by Metropolitan area(2) level of Percent average 1999 2000(3) change, annual pay 1999-2000 for 2000 Metropolitan areas(4)............................... $34,890 $36,986 6.0 - Abilene, TX........................................... 22,997 24,487 6.5 299 Akron, OH............................................. 30,976 32,166 3.8 89 Albany, GA............................................ 26,750 27,655 3.4 213 Albany-Schenectady-Troy, NY........................... 31,899 33,815 6.0 66 Albuquerque, NM....................................... 28,935 30,397 5.1 132 Alexandria, LA........................................ 24,023 24,926 3.8 288 Allentown-Bethlehem-Easton, PA........................ 32,188 33,046 2.7 77 Altoona, PA........................................... 25,358 26,296 3.7 254 Amarillo, TX.......................................... 25,623 26,394 3.0 250 Anchorage, AK......................................... 35,706 36,619 2.6 36 Ann Arbor, MI......................................... 35,773 37,446 4.7 32 Anniston, AL.......................................... 24,593 25,252 2.7 274 Appleton-Oshkosh-Neenah, WI........................... 30,776 31,824 3.4 97 Asheville, NC......................................... 26,537 27,521 3.7 218 Athens, GA............................................ 26,715 27,649 3.5 214 Atlanta, GA........................................... 37,303 39,704 6.4 24 Atlantic-Cape May, NJ................................. 28,989 29,974 3.4 141 Auburn-Opelika, AL.................................... 24,627(5) 24,790(6) 0.7 292 Augusta-Aiken, GA-SC.................................. 28,590 29,699 3.9 148 Austin-San Marcos, TX................................. 38,940 41,012 5.3 20 Bakersfield, CA....................................... 27,034 28,536 5.6 181 Baltimore, MD......................................... 33,862 35,578 5.1 46 Bangor, ME............................................ 26,219 26,774 2.1 243 Barnstable-Yarmouth, MA............................... 29,713 29,718 0.0 147 Baton Rouge, LA....................................... 28,786 29,242 1.6 165 Beaumont-Port Arthur, TX.............................. 30,243 30,716 1.6 125 Bellingham, WA........................................ 25,612 26,307 2.7 252 Benton Harbor, MI..................................... 30,043 30,906 2.9 120 Bergen-Passaic, NJ.................................... 41,511 43,789 5.5 14 Billings, MT.......................................... 25,551 26,744 4.7 244 Biloxi-Gulfport-Pascagoula, MS........................ 26,351 27,635 4.9 215 Binghamton, NY........................................ 29,174 30,216 3.6 135 Birmingham, AL........................................ 32,092 33,284 3.7 69 Bismarck, ND.......................................... 24,794 25,812 4.1 268 Bloomington, IN....................................... 26,133 27,390 4.8 222 Bloomington-Normal, IL................................ 32,895 34,226 4.0 61 Boise City, ID........................................ 29,862 32,480 8.8 85 Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH...... 40,892 45,191 10.5 10 Boulder-Longmont, CO.................................. 40,002 45,565 13.9 8 Brazoria, TX.......................................... 33,264 34,361 3.3 60 Bremerton, WA......................................... 29,114 30,543 4.9 128 Brownsville-Harlingen-San Benito, TX.................. 20,998 21,561 2.7 315 Bryan-College Station, TX............................. 23,441 24,627 5.1 295 Buffalo-Niagara Falls, NY............................. 30,489 31,421 3.1 111 Burlington, VT........................................ 31,721 33,122 4.4 75 Canton-Massillon, OH.................................. 27,743 28,353 2.2 189 Casper, WY............................................ 25,682 29,196 13.7 168 Cedar Rapids, IA...................................... 32,506 34,109 4.9 62 Champaign-Urbana, IL.................................. 28,017 29,158 4.1 170 Charleston-North Charleston, SC....................... 26,394 27,634 4.7 216 Charleston, WV........................................ 29,113 30,110 3.4 139 Charlotte-Gastonia-Rock Hill, NC-SC................... 34,374 36,193 5.3 40 Charlottesville, VA................................... 29,394 31,075 5.7 117 Chattanooga, TN-GA.................................... 28,270 29,331 3.8 160 Cheyenne, WY.......................................... 25,234 25,928 2.8 267 Chicago, IL........................................... 39,525 41,549 5.1 18 Chico-Paradise, CA.................................... 24,147 25,100 3.9 281 Cincinnati, OH-KY-IN.................................. 33,627 35,049 4.2 50 Clarksville-Hopkinsville, TN-KY....................... 23,744 24,967 5.2 285 Cleveland-Lorain-Elyria, OH........................... 33,435 34,704 3.8 55 Colorado Springs, CO.................................. 30,678 33,036 7.7 78 Columbia, MO.......................................... 26,551 27,366 3.1 223 Columbia, SC.......................................... 27,935 29,036 3.9 174 Columbus, GA-AL....................................... 26,134 26,983 3.2 236 Columbus, OH.......................................... 32,400 33,946 4.8 63 Corpus Christi, TX.................................... 26,945 28,175 4.6 196 Corvallis, OR......................................... 33,693(5) 35,355(6) 4.9 47 Cumberland, MD-WV..................................... 24,083 24,532 1.9 297 Dallas, TX............................................ 39,259 42,133 7.3 17 Danville, VA.......................................... 24,693 25,139 1.8 279 Davenport-Moline-Rock Island, IA-IL................... 29,252 30,510 4.3 130 Dayton-Springfield, OH................................ 32,360 33,172 2.5 74 Daytona Beach, FL..................................... 23,650 24,901 5.3 289 Decatur, AL........................................... 28,933 29,409 1.6 158 Decatur, IL........................................... 32,062 32,599 1.7 82 Denver, CO............................................ 38,115 41,413 8.7 19 Des Moines, IA........................................ 32,270 33,066 2.5 76 Detroit, MI........................................... 40,781 42,303 3.7 16 Dothan, AL............................................ 25,944 27,239 5.0 229 Dover, DE............................................. 26,425 27,052 2.4 233 Dubuque, IA........................................... 26,592 27,322 2.7 226 Duluth-Superior, MN-WI................................ 27,189 28,255 3.9 192 Dutchess County, NY................................... 35,274 36,063 2.2 42 Eau Claire, WI........................................ 25,316 26,626 5.2 246 El Paso, TX........................................... 24,282 25,067 3.2 282 Elkhart-Goshen, IN.................................... 29,648 30,353 2.4 134 Elmira, NY............................................ 26,599 27,659 4.0 212 Enid, OK.............................................. 22,700 23,262 2.5 311 Erie, PA.............................................. 27,873 28,372 1.8 187 Eugene-Springfield, OR................................ 26,932 27,867 3.5 205 Evansville-Henderson, IN-KY........................... 29,162 29,934 2.6 143 Fargo-Moorhead, ND-MN................................. 25,969 27,003 4.0 235 Fayetteville, NC...................................... 25,123 26,098 3.9 261 Fayetteville-Springdale-Rogers, AR.................... 27,702 28,947 4.5 175 Flagstaff, AZ-UT...................................... 23,815 24,673 3.6 294 Flint, MI............................................. 35,808 36,418 1.7 39 Florence, AL.......................................... 24,815 25,140 1.3 278 Florence, SC.......................................... 26,358 27,462 4.2 220 Fort Collins-Loveland, CO............................. 30,020 32,394 7.9 87 Fort Lauderdale, FL................................... 31,208 33,232 6.5 72 Fort Myers-Cape Coral, FL............................. 26,458 28,138 6.3 198 Fort Pierce-Port St. Lucie, FL........................ 26,021 26,978 3.7 237 Fort Smith, AR-OK..................................... 24,745 25,950 4.9 266 Fort Walton Beach, FL................................. 23,836 25,246 5.9 276 Fort Wayne, IN........................................ 30,048 30,844 2.6 122 Fort Worth-Arlington, TX.............................. 32,941 34,587 5.0 57 Fresno, CA............................................ 24,748 25,956 4.9 265 Gadsden, AL........................................... 24,776 25,252 1.9 275 Gainesville, FL....................................... 25,180 26,150 3.9 259 Galveston-Texas City, TX.............................. 28,382 29,531 4.0 154 Gary, IN.............................................. 30,454 31,493 3.4 109 Glens Falls, NY....................................... 26,150 27,366 4.7 224 Goldsboro, NC......................................... 23,812 24,532 3.0 298 Grand Forks, ND-MN.................................... 23,383 24,288 3.9 303 Grand Junction, CO.................................... 25,313 26,223 3.6 256 Grand Rapids-Muskegon-Holland, MI..................... 31,990 32,994 3.1 79 Great Falls, MT....................................... 23,154 23,893 3.2 305 Greeley, CO........................................... 27,383 29,273 6.9 161 Green Bay, WI......................................... 30,637 31,520 2.9 107 Greensboro--Winston-Salem--High Point, NC............. 29,752 30,897 3.8 121 Greenville, NC........................................ 26,520 27,711 4.5 209 Greenville-Spartanburg-Anderson, SC................... 28,693 29,761 3.7 146 Hagerstown, MD........................................ 27,608 28,410 2.9 186 Hamilton-Middletown, OH............................... 30,963 31,520 1.8 108 Harrisburg-Lebanon-Carlisle, PA....................... 31,492 32,345 2.7 88 Hartford, CT.......................................... 40,059 42,394 5.8 15 Hattiesburg, MS....................................... 23,608 24,302 2.9 302 Hickory-Morganton-Lenoir, NC.......................... 25,933 26,840 3.5 240 Honolulu, HI.......................................... 30,993 31,871 2.8 96 Houma, LA............................................. 27,094 28,365 4.7 188 Houston, TX........................................... 38,107 40,986 7.6 21 Huntington-Ashland, WV-KY-OH.......................... 25,560 26,421 3.4 248 Huntsville, AL........................................ 34,177 35,650 4.3 45 Indianapolis, IN...................................... 33,658 34,880 3.6 54 Iowa City, IA......................................... 28,594 30,204 5.6 136 Jackson, MI........................................... 30,797 31,703 2.9 101 Jackson, MS........................................... 28,055 29,205 4.1 166 Jackson, TN........................................... 27,785 28,664 3.2 180 Jacksonville, FL...................................... 30,039 31,427 4.6 110 Jacksonville, NC...................................... 20,278 21,057 3.8 317 Jamestown, NY......................................... 24,814 25,418 2.4 271 Janesville-Beloit, WI................................. 30,496 31,136 2.1 116 Jersey City, NJ....................................... 43,046 47,514 10.4 7 Johnson City-Kingsport-Bristol, TN-VA................. 26,117 27,250 4.3 228 Johnstown, PA......................................... 24,026 24,348 1.3 300 Jonesboro, AR......................................... 24,388 25,106 2.9 280 Joplin, MO............................................ 24,248 25,028 3.2 283 Kalamazoo-Battle Creek, MI............................ 31,194 32,026 2.7 93 Kankakee, IL.......................................... 27,312 28,490 4.3 183 Kansas City, MO-KS.................................... 33,030 34,993 5.9 51 Kenosha, WI........................................... 30,083 31,394 4.4 112 Killeen-Temple, TX.................................... 23,879 24,894 4.3 290 Knoxville, TN......................................... 28,589 29,514 3.2 155 Kokomo, IN............................................ 39,651 40,240 1.5 22 La Crosse, WI-MN...................................... 25,972 26,831 3.3 241 Lafayette, LA......................................... 26,121 27,478 5.2 219 Lafayette, IN......................................... 29,305 30,543 4.2 129 Lake Charles, LA...................................... 27,972 28,179 0.7 195 Lakeland-Winter Haven, FL............................. 26,928 28,023 4.1 202 Lancaster, PA......................................... 29,447 30,711 4.3 126 Lansing-East Lansing, MI.............................. 32,358 33,908 4.8 64 Laredo, TX............................................ 22,648 23,570 4.1 309 Las Cruces, NM........................................ 22,798 23,602 3.5 308 Las Vegas, NV-AZ...................................... 30,632 31,663 3.4 103 Lawrence, KS.......................................... 23,639 24,961 5.6 286 Lawton, OK............................................ 23,086 23,820 3.2 306 Lewiston-Auburn, ME................................... 25,364 26,193 3.3 257 Lexington, KY......................................... 29,253 30,378 3.8 133 Lima, OH.............................................. 28,181 28,813 2.2 178 Lincoln, NE........................................... 27,431 28,511 3.9 182 Little Rock-North Little Rock, AR..................... 28,608 29,621 3.5 152 Longview-Marshall, TX................................. 25,847 26,701 3.3 245 Los Angeles-Long Beach, CA............................ 37,788 39,671 5.0 25 Louisville, KY-IN..................................... 30,616 31,824 3.9 98 Lubbock, TX........................................... 24,731 26,302 6.4 253 Lynchburg, VA......................................... 26,854 27,660 3.0 211 Macon, GA............................................. 28,345 29,501 4.1 156 Madison, WI........................................... 31,101 32,817 5.5 80 Mansfield, OH......................................... 27,232 28,193 3.5 194 McAllen-Edinburg-Mission, TX.......................... 21,111 21,695 2.8 314 Medford-Ashland, OR................................... 25,672 26,565 3.5 247 Melbourne-Titusville-Palm Bay, FL..................... 29,955 32,107 7.2 91 Memphis, TN-AR-MS..................................... 32,429 33,248 2.5 71 Merced, CA............................................ 23,499 24,793 5.5 291 Miami, FL............................................. 32,067 33,328 3.9 68 Middlesex-Somerset-Hunterdon, NJ...................... 46,200 48,977 6.0 5 Milwaukee-Waukesha, WI................................ 33,372 34,612 3.7 56 Minneapolis-St. Paul, MN-WI........................... 37,229 39,549 6.2 26 Missoula, MT.......................................... 24,127 25,321 4.9 273 Mobile, AL............................................ 26,583 27,288 2.7 227 Modesto, CA........................................... 27,009 28,202 4.4 193 Monmouth-Ocean, NJ.................................... 34,610 36,463 5.4 38 Monroe, LA............................................ 25,354 25,735 1.5 269 Montgomery, AL........................................ 27,333 28,157 3.0 197 Muncie, IN............................................ 26,777 28,075 4.8 199 Myrtle Beach, SC...................................... 21,701 22,881 5.4 313 Naples, FL............................................ 28,021 29,941 6.9 142 Nashville, TN......................................... 31,717 33,268 4.9 70 Nassau-Suffolk, NY.................................... 36,948 38,941 5.4 29 New Haven-Bridgeport-Stamford-Waterbury-Danbury, CT... 47,133 50,585 7.3 4 New London-Norwich, CT................................ 35,404 36,727 3.7 35 New Orleans, LA....................................... 29,360 29,859 1.7 144 New York, NY.......................................... 52,467 56,377 7.5 3 Newark, NJ............................................ 44,647 48,733 9.2 6 Newburgh, NY-PA....................................... 27,671 28,934 4.6 176 Norfolk-Virginia Beach-Newport News, VA-NC............ 27,148 28,279 4.2 190 Oakland, CA........................................... 40,994 44,170 7.7 13 Ocala, FL............................................. 24,156 24,938 3.2 287 Odessa-Midland, TX.................................... 27,772 29,264 5.4 162 Oklahoma City, OK..................................... 26,838 28,267 5.3 191 Olympia, WA........................................... 29,701 31,722 6.8 100 Omaha, NE-IA.......................................... 30,079 31,233 3.8 115 Orange County, CA..................................... 37,452 39,208 4.7 27 Orlando, FL........................................... 28,718 30,197 5.2 137 Owensboro, KY......................................... 25,084 25,980 3.6 263 Panama City, FL....................................... 24,298 25,027 3.0 284 Parkersburg-Marietta, WV-OH........................... 26,806 27,366 2.1 225 Pensacola, FL......................................... 25,182 26,269 4.3 255 Peoria-Pekin, IL...................................... 31,790 32,096 1.0 92 Philadelphia, PA-NJ................................... 37,333 39,197 5.0 28 Phoenix-Mesa, AZ...................................... 32,430 34,915 7.7 52 Pine Bluff, AR........................................ 25,343 26,400 4.2 249 Pittsburgh, PA........................................ 33,048 33,837 2.4 65 Pittsfield, MA........................................ 29,616 31,310 5.7 114 Pocatello, ID......................................... 23,324 24,033 3.0 304 Portland, ME.......................................... 30,413 30,752 1.1 124 Portland-Vancouver, OR-WA............................. 34,382 37,043 7.7 34 Providence-Warwick-Pawtucket, RI...................... 31,040 32,426 4.5 86 Provo-Orem, UT........................................ 26,558 27,910 5.1 204 Pueblo, CO............................................ 24,594 25,493 3.7 270 Punta Gorda, FL....................................... 23,371 24,743 5.9 293 Racine, WI............................................ 32,747 32,538 -0.6 83 Raleigh-Durham-Chapel Hill, NC........................ 34,803 37,775 8.5 30 Rapid City, SD........................................ 23,413 24,342 4.0 301 Reading, PA........................................... 30,999 31,995 3.2 94 Redding, CA........................................... 26,065 27,054 3.8 232 Reno, NV.............................................. 31,381 32,747 4.4 81 Richland-Kennewick-Pasco, WA.......................... 30,122 31,533 4.7 106 Richmond-Petersburg, VA............................... 32,987 34,480 4.5 59 Riverside-San Bernardino, CA.......................... 28,341 29,540 4.2 153 Roanoke, VA........................................... 28,016 29,250 4.4 163 Rochester, MN......................................... 35,023 36,111 3.1 41 Rochester, NY......................................... 32,582 33,213 1.9 73 Rockford, IL.......................................... 31,442 31,917 1.5 95 Rocky Mount, NC....................................... 26,788 27,735 3.5 208 Sacramento, CA........................................ 34,269 36,598 6.8 37 Saginaw-Bay City-Midland, MI.......................... 33,947 35,335 4.1 48 St. Cloud, MN......................................... 26,283 27,408 4.3 221 St. Joseph, MO........................................ 26,016 27,170 4.4 230 St. Louis, MO-IL...................................... 33,354 34,913 4.7 53 Salem, OR............................................. 26,943 27,691 2.8 210 Salinas, CA........................................... 28,498 29,986 5.2 140 Salt Lake City-Ogden, UT.............................. 29,498 30,960 5.0 118 San Angelo, TX........................................ 24,513 25,365 3.5 272 San Antonio, TX....................................... 28,067 29,678 5.7 149 San Diego, CA......................................... 34,722 37,516 8.0 31 San Francisco, CA..................................... 50,125 59,314 18.3 2 San Jose, CA.......................................... 61,117 76,076 24.5 1 San Luis Obispo-Atascadero-Paso Robles, CA............ 26,454 28,067 6.1 201 Santa Barbara-Santa Maria-Lompoc, CA.................. 30,099 32,518 8.0 84 Santa Cruz-Watsonville, CA............................ 31,025 35,826 15.5 43 Santa Fe, NM.......................................... 27,585 29,054 5.3 173 Santa Rosa, CA........................................ 32,092 35,796 11.5 44 Sarasota-Bradenton, FL................................ 26,193 (7) (7) (7) Savannah, GA.......................................... 28,690 29,195 1.8 169 Scranton--Wilkes-Barre--Hazleton, PA.................. 26,591 27,742 4.3 207 Seattle-Bellevue-Everett, WA.......................... 43,925 45,171 2.8 11 Sharon, PA............................................ 25,402 26,098 2.7 262 Sheboygan, WI......................................... 29,619 30,556 3.2 127 Sherman-Denison, TX................................... 28,102 29,671 5.6 150 Shreveport-Bossier City, LA........................... 26,265 27,150 3.4 231 Sioux City, IA-NE..................................... 25,453 26,188 2.9 258 Sioux Falls, SD....................................... 26,959 27,980 3.8 203 South Bend, IN........................................ 28,649 29,649 3.5 151 Spokane, WA........................................... 27,573 29,771 8.0 145 Springfield, IL....................................... 33,988 34,529 1.6 58 Springfield, MO....................................... 25,507 26,327 3.2 251 Springfield, MA....................................... 30,281 31,644 4.5 105 State College, PA..................................... 27,968 29,067 3.9 171 Steubenville-Weirton, OH-WV........................... 26,738 28,458 6.4 185 Stockton-Lodi, CA..................................... 27,920 29,250 4.8 164 Sumter, SC............................................ 22,807 23,570 3.3 310 Syracuse, NY.......................................... 30,426 31,383 3.1 113 Tacoma, WA............................................ 28,644 30,161 5.3 138 Tallahassee, FL....................................... 27,565 28,678 4.0 179 Tampa-St. Petersburg-Clearwater, FL................... 29,360 30,781 4.8 123 Terre Haute, IN....................................... 26,408 26,810 1.5 242 Texarkana, TX-Texarkana, AR........................... 24,825 25,968 4.6 264 Toledo, OH............................................ 30,876 31,645 2.5 104 Topeka, KS............................................ 28,468 29,373 3.2 159 Trenton, NJ........................................... 42,445 44,576 5.0 12 Tucson, AZ............................................ 28,203 29,204 3.5 167 Tulsa, OK............................................. 29,285 30,420 3.9 131 Tuscaloosa, AL........................................ 28,367 29,067 2.5 172 Tyler, TX............................................. 28,493 29,485 3.5 157 Utica-Rome, NY........................................ 25,876 26,875 3.9 239 Vallejo-Fairfield-Napa, CA............................ 29,674 32,130 8.3 90 Ventura, CA........................................... 33,978 37,102 9.2 33 Victoria, TX.......................................... 25,710 27,551 7.2 217 Vineland-Millville-Bridgeton, NJ...................... 30,535 31,674 3.7 102 Visalia-Tulare-Porterville, CA........................ 22,701 23,722 4.5 307 Waco, TX.............................................. 26,488 27,032 2.1 234 Washington, DC-MD-VA-WV............................... 42,660 45,333 6.3 9 Waterloo-Cedar Falls, IA.............................. 26,569 27,858 4.9 206 Wausau, WI............................................ 27,845 28,888 3.7 177 West Palm Beach-Boca Raton, FL........................ 32,824 35,219 7.3 49 Wheeling, WV-OH....................................... 24,794 25,198 1.6 277 Wichita, KS........................................... 30,773 31,726 3.1 99 Wichita Falls, TX..................................... 23,603 24,602 4.2 296 Williamsport, PA...................................... 26,092 26,906 3.1 238 Wilmington-Newark, DE-MD.............................. 38,071 39,899 4.8 23 Wilmington, NC........................................ 27,009 28,070 3.9 200 Yakima, WA............................................ 22,402 23,245 3.8 312 Yolo, CA.............................................. 32,362 33,395 3.2 67 York, PA.............................................. 29,943 30,924 3.3 119 Youngstown-Warren, OH................................. 27,925 28,489 2.0 184 Yuba City, CA......................................... 25,139 26,140 4.0 260 Yuma, AZ.............................................. 20,362 21,487 5.5 316 Aguadilla, PR......................................... 16,766 17,489 4.3 320 Arecibo, PR........................................... 15,499 15,728 1.5 323 Caguas, PR............................................ 17,475 17,802 1.9 319 Mayaguez, PR.......................................... 16,054 16,086 0.2 322 Ponce, PR............................................. 16,158 16,556 2.5 321 San Juan-Bayamon, PR.................................. 19,745 19,997 1.3 318 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 areas by Consolidated metropolitan level of statistical area(2) Percent average 1999 2000(3) change, annual pay 1999-2000 for 2000 Consolidated metropolitan statistical areas(4)........ $39,737 $42,574 7.1 - Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH........ 40,892 45,191 10.5 3 Chicago-Gary-Kenosha, IL-IN-WI.......................... 38,761 40,725 5.1 8 Cincinnati-Hamilton, OH-KY-IN........................... 33,290 34,598 3.9 15 Cleveland-Akron, OH..................................... 32,897 34,152 3.8 17 Dallas-Fort Worth, TX................................... 37,483 40,022 6.8 10 Denver-Boulder-Greeley, CO.............................. 37,815 41,345 9.3 7 Detroit-Ann Arbor-Flint, MI............................. 39,901 41,385 3.7 6 Houston-Galveston-Brazoria,TX........................... 37,543 40,307 7.4 9 Los Angeles-Riverside-Orange County, CA................. 36,189 37,975 4.9 12 Miami-Fort Lauderdale, FL............................... 31,728 33,290 4.9 18 Milwaukee-Racine, WI.................................... 33,317 34,433 3.3 16 New York-Northern New Jersey-Long Island, NY-NJ-CT-PA... 46,403 49,707 7.1 2 Philadelphia-Wilmington-Atlantic City, PA-NJ-DE-MD...... 36,745 38,543 4.9 11 Portland-Salem, OR-WA................................... 33,412 35,830 7.2 14 Sacramento-Yolo, CA..................................... 34,066 36,263 6.4 13 San Francisco-Oakland-San Jose, CA...................... 48,057 56,561 17.7 1 Seattle-Tacoma-Bremerton, WA............................ 40,616 41,953 3.3 5 Washington-Baltimore, DC-MD-VA-WV....................... 39,712 42,110 6.0 4 San Juan-Caguas-Arecibo, PR............................. 19,339 19,600 1.3 19 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.