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Internet address: http://stats.bls.gov/newsrels.htm Technical information: (202) 691-6567 USDL Media contact: 691-5902 00-349 For release: 10:00 A.M. EST Tuesday, November 28, 2000 AVERAGE ANNUAL PAY IN METROPOLITAN AREAS, 1999 Average annual pay of employees within the nation's 316 metropolitan areas increased by 4.4 percent from 1998 to 1999, according to preliminary data from the Bureau of Labor Statistics of the U.S. Department of Labor. The over-the-year gain was smaller than 1998's gain of 5.2 percent. (See chart 1.) Annual pay in metropolitan areas averaged $34,868 in 1999, up from $33,407 in 1998. Average annual pay for the entire nation, metropolitan and nonmetropolitan areas combined, was $33,313 in 1999, a 4.3 percent increase from 1998. (Average annual pay by state and industry was issued on Nov. 17, 2000, in USDL 00-339.) Average annual pay data are compiled from reports submitted by employers subject to state and federal unemployment insurance (UI) laws covering 127.0 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.) New Jersey data were not available for the fourth quarter of 1999 and therefore are not shown for 1999. Totals for the United States were calculated using estimated 1999 data for New Jersey. 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., the hub of Silicon Valley, led the nation with an average annual pay level of $61,110 in 1999. (See table 1.) New York, N.Y., had the second highest average annual pay level ($52,351), followed by San Francisco, Calif. ($50,169), New Haven-Bridgeport-Stamford-WaterburyDanbury, Conn. ($47,142), and Seattle-Bellevue-Everett, Wash. ($43,921). The first four of these Metropolitan Statistical Areas (MSAs) occupied the same slots last year. Average pay levels in these five metropolitan areas ranged from 26 to 75 percent above the average for all metropolitan areas in the nation. Of the 307 metropolitan areas in the nation, excluding those with New Jersey components, 29 reported average annual pay levels above the national metropolitan pay average of $34,868. (The nation's metropolitan average annual pay was calculated using estimated New Jersey data.) - 2 Excluding MSAs within Puerto Rico, Jacksonville, N.C., continued to record the lowest average annual pay among metropolitan areas in 1999 ($20,280). The second lowest pay occurred in Yuma, Ariz. ($20,363), followed by Brownsville-Harlingen-San Benito, Tex. ($20,997), McAllenEdinburg-Mission, Tex. ($21,105), and Myrtle Beach, S.C. ($21,691). These five MSAs had the lowest average annual pay in 1998 as well. The largest percentage increase in average annual pay from 1998 to 1999 occurred in San Jose, Calif. (18.9 percent). The next largest increases were in Barnstable-Yarmouth, Mass., and Seattle-Bellevue-Everett, Wash. (10.2 percent each), followed by Austin-San Marcos, Tex. (10.1 percent), and San Francisco, Calif. (9.9 percent). From 1998 to 1999, 275 metropolitan areas experienced less than the average growth in annual pay (4.4 percent). Of these, 5 MSAs had growth around 1 percent; 14 metropolitan areas experienced growth of less than 1 percent; and 9 metropolitan areas reported a decline in average annual pay. Comparison of Metropolitan and Nonmetropolitan Areas Average annual pay within the nation's nonmetropolitan areas rose 3.8 percent in 1999, compared with 4.4 percent in metropolitan areas. (See chart 2.) Average annual pay in nonmetropolitan areas in 1999 was $25,993, up from $25,039 in 1998. In 1999, nonmetropolitan average annual pay was 25 percent less than metropolitan average annual pay, a difference of $8,875. The difference between nonmetropolitan and metropolitan pay has gradually widened over the years. In 1980, the difference between the two pay levels amounted to approximately 16 percent. A difference of 22 percent was reported in 1988. 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 Statistical Areas (CMSAs) $37,851 to $39,695. (See year's growth rate of 5.4 the nation's 18 Consolidated Metropolitan rose by 4.9 percent from 1998 to 1999, from table 2.) This was lower than the previous percent. The San Francisco-Oakland-San Jose, Calif., consolidated metropolitan area had the highest pay level, $48,073. The second highest pay level was recorded in Boston-Worcester-Lawrence-Lowell-Brockton, Mass.-N.H. ($40,903), followed by Seattle-Tacoma-Bremerton, Wash. ($40,612), DetroitAnn Arbor-Flint, Mich. ($39,926), and Washington-Baltimore, D.C.-Md.-Va.W.Va. ($39,675). (New Jersey data were not available for this release; therefore, data for the New York-Northern New Jersey-Long Island, N.Y.-N.J.Conn.-Pa., and Philadelphia-Wilmington-Atlantic City, Pa.-N.J.-Del.-Md., CMSAs are not included in this release.) - 3 Miami-Fort Lauderdale, Fla., had the lowest average annual pay level ($31,725) of the consolidated metropolitan areas in the nation for the sixth consecutive year. Cleveland-Akron, Ohio, had the second lowest ($32,903), followed by Cincinnati-Hamilton, Ohio-Ky.-Ind. ($33,296), Milwaukee-Racine, Wis. ($33,301), and Portland-Salem, Ore.-Wash. ($33,408). The highest percentage increase in average annual pay from 1998 to 1999 was in the San Francisco-Oakland-San Jose, Calif. consolidated metropolitan area, at 11.5 percent. The next largest increases were in Seattle-TacomaBremerton, Wash. (9.2 percent), Denver-Boulder-Greeley, Colo. (6.8 percent), Boston-Worcester-Lawrence-Lowell-Brockton, Mass.-N.H. (6.7 percent), and Dallas-Fort Worth, Tex. (5.0 percent). None of the consolidated metropolitan areas reported a decline in average annual pay in 1999. The smallest increases occurred in ClevelandAkron, Ohio (2.8 percent), and Detroit-Ann Arbor-Flint, Mich. (3.4 percent). Houston-Galveston-Brazoria, Tex., Los Angeles-Riverside-Orange County, Calif., and Sacramento-Yolo, Calif., reported increases of 3.6 percent. --------------------------------------------------------| 1999 average annual pay and other data from the Covered| |Employment and Wages program will be available on the BLS| |web site at http://stats.bls.gov/cewnote.htm in early | |December. | --------------------------------------------------------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 1999 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 7.8 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 1999, UI and UCFE programs covered workers in 127.0 million jobs. The estimated 122 million workers in these jobs (after adjustment for multiple jobholders) represented 99.0 percent of wage and salary civilian employment. Multiple jobholder estimates are produced by the Current Population Survey (CPS). Covered workers received $4.232 trillion in pay, representing 94.7 percent of the wage and salary component of personal income and 45.5 percent of the gross domestic product. About 82 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 1999 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 also are included. Percent changes in average annual pay were computed using final 1998 data as the base. These final 1998 data may differ from the preliminary 1998 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 23, 1998 (OMB Bulletin No. 9806). These definitions reflect information obtained from the 1990 Decennial Census and the 1996 and 1997 Bureau of the Census population estimates. 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 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, 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 Bureau of the Census-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 Occupational and Administrative Statistics, Bureau of Labor Statistics, U.S. Department of Labor, Washington, DC 20212, telephone 202-691-6567 (e-mail: 202_info@bls.gov). BLS issues three other reports which provide data from state UI and UCFE programs. The 1999 news release for average annual pay by state and industry was issued on Nov. 17, 2000 (USDL 00-339), and employment and average annual average pay for large counties is scheduled to be released soon. 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, 1999 will be available for sale in early 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 (http://stats.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 1998 and 1999 for all covered workers(1) by metropolitan area Average annual pay Metropolitan area(2) Ranking of areas 1998 1999(3) Percent change, 1998-1999 By level of average annual pay for 1999 Metropolitan areas(4)............................... $33,407 $34,868 4.4 - Abilene, TX........................................... Aguadilla, PR......................................... Akron, OH............................................. Albany, GA............................................ Albany-Schenectady-Troy, NY........................... Albuquerque, NM....................................... Alexandria, LA........................................ Allentown-Bethlehem-Easton, PA........................ Altoona, PA........................................... Amarillo, TX.......................................... 22,274 16,040 30,698 26,152 31,078 28,177 23,884 30,712 24,494 24,930 22,988 16,807 30,990 26,813 31,901 28,934 23,962 32,154 25,352 25,632 3.2 4.8 1.0 2.5 2.6 2.7 0.3 4.7 3.5 2.8 296 310 80 191 68 130 278 62 246 236 Anchorage, AK......................................... Ann Arbor, MI......................................... Anniston, AL.......................................... Appleton-Oshkosh-Neenah, WI........................... Arecibo, PR........................................... Asheville, NC......................................... Athens, GA............................................ Atlanta, GA........................................... Atlantic-Cape May, NJ................................. Augusta-Aiken, GA-SC.................................. 35,459 34,331 23,851 29,399 15,083 25,728 25,772 35,405 28,509 28,019 35,707 35,733 24,591 30,772 15,505 26,504 26,683 37,341 (5) 28,592 0.7 4.1 3.1 4.7 2.8 3.0 3.5 5.5 (5) 2.0 25 24 267 86 313 205 197 21 (5) 140 Austin-San Marcos, TX................................. Bakersfield, CA....................................... Baltimore, MD......................................... 35,347 26,478 32,731 38,930 26,997 33,837 10.1 2.0 3.4 15 183 39 Bangor, ME............................................ Barnstable-Yarmouth, MA............................... Baton Rouge, LA....................................... Beaumont-Port Arthur, TX.............................. Bellingham, WA........................................ Benton Harbor, MI..................................... Bergen-Passaic, NJ.................................... 25,374 26,954 28,309 30,222 24,795 27,848 40,110 26,219 29,711 28,793 30,242 25,605 29,882 (5) 3.3 10.2 1.7 0.1 3.3 7.3 (5) 215 110 132 98 237 107 (5) Billings, MT.......................................... Biloxi-Gulfport-Pascagoula, MS........................ Binghamton, NY........................................ Birmingham, AL........................................ Bismarck, ND.......................................... Bloomington, IN....................................... Bloomington-Normal, IL................................ Boise City, ID........................................ Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH...... Boulder-Longmont, CO.................................. 24,802 26,319 28,445 30,607 24,239 25,810 31,437 28,000 38,335 37,817 25,550 26,348 29,167 31,990 24,792 26,141 32,888 29,864 40,903 40,002 3.0 0.1 2.5 4.5 2.3 1.3 4.6 6.7 6.7 5.8 239 213 126 66 258 219 50 108 8 10 Brazoria, TX.......................................... Bremerton, WA......................................... Brownsville-Harlingen-San Benito, TX.................. Bryan-College Station, TX............................. Buffalo-Niagara Falls, NY............................. Burlington, VT........................................ Caguas, PR............................................ Canton-Massillon, OH.................................. Casper, WY............................................ Cedar Rapids, IA...................................... 32,945 28,346 20,979 22,348 29,661 30,444 17,019 27,394 25,094 31,375 33,266 29,109 20,997 23,413 30,487 31,716 17,480 27,707 25,683 32,441 1.0 2.7 0.1 4.8 2.8 4.2 2.7 1.1 2.3 3.4 45 128 305 288 92 70 309 167 234 55 Champaign-Urbana, IL.................................. Charleston-North Charleston, SC....................... Charleston, WV........................................ Charlotte-Gastonia-Rock Hill, NC-SC................... Charlottesville, VA................................... Chattanooga, TN-GA.................................... Cheyenne, WY.......................................... Chicago, IL........................................... Chico-Paradise, CA.................................... Cincinnati, OH-KY-IN.................................. 26,952 25,245 28,477 32,897 28,601 27,303 24,312 37,745 23,195 32,206 28,047 26,410 29,105 34,325 29,394 28,264 25,249 39,536 24,115 33,626 4.1 4.6 2.2 4.3 2.8 3.5 3.9 4.7 4.0 4.4 155 209 129 33 119 149 250 13 274 41 Clarksville-Hopkinsville, TN-KY....................... Cleveland-Lorain-Elyria, OH........................... Colorado Springs, CO.................................. Columbia, MO.......................................... Columbia, SC.......................................... Columbus, GA-AL....................................... Columbus, OH.......................................... Corpus Christi, TX.................................... 23,052 32,354 29,415 25,666 26,785 25,047 31,166 26,553 23,775 33,437 30,674 26,547 27,941 26,131 32,428 26,940 3.1 3.3 4.3 3.4 4.3 4.3 4.0 1.5 283 42 88 202 160 221 58 186 Cumberland, MD-WV..................................... Dallas, TX............................................ 23,697 37,309 24,084 39,281 1.6 5.3 275 14 Danville, VA.......................................... Davenport-Moline-Rock Island, IA-IL................... Dayton-Springfield, OH................................ Daytona Beach, FL..................................... Decatur, AL........................................... Decatur, IL........................................... Denver, CO............................................ Des Moines, IA........................................ Detroit, MI........................................... Dothan, AL............................................ 23,892 29,293 31,196 22,859 27,700 31,239 35,606 30,604 39,497 25,362 24,681 29,263 32,362 23,640 28,892 32,061 38,133 32,271 40,836 25,923 3.3 -0.1 3.7 3.4 4.3 2.6 7.1 5.4 3.4 2.2 265 125 59 285 131 64 16 61 9 229 Dover, DE............................................. Dubuque, IA........................................... Duluth-Superior, MN-WI................................ Dutchess County, NY................................... Eau Claire, WI........................................ El Paso, TX........................................... Elkhart-Goshen, IN.................................... Elmira, NY............................................ Enid, OK.............................................. Erie, PA.............................................. 25,974 26,462 26,145 33,568 24,601 23,691 28,725 25,846 21,765 27,489 26,408 26,662 27,198 35,256 25,318 24,275 29,643 26,603 22,695 27,864 1.7 0.8 4.0 5.0 2.9 2.5 3.2 2.9 4.3 1.4 210 198 179 28 248 270 114 199 300 163 Eugene-Springfield, OR................................ 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............................. 26,132 28,412 25,069 24,491 26,133 23,419 34,580 23,617 25,273 29,165 26,913 29,166 25,983 25,120 27,679 23,814 35,658 24,792 26,101 30,019 3.0 2.7 3.6 2.6 5.9 1.7 3.1 5.0 3.3 2.9 189 127 226 254 168 282 26 259 222 104 Fort Lauderdale, FL................................... 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....................................... 30,006 25,300 25,558 23,901 23,492 28,847 31,662 23,856 24,476 24,923 31,210 26,451 26,044 24,731 23,913 30,052 32,961 24,734 24,740 25,166 4.0 4.5 1.9 3.5 1.8 4.2 4.1 3.7 1.1 1.0 76 207 224 263 279 103 49 262 261 252 Galveston-Texas City, TX.............................. Gary, IN.............................................. 28,238 30,510 28,371 30,455 0.5 -0.2 146 94 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......................................... 26,059 23,116 22,783 24,553 31,060 22,509 26,404 29,789 26,140 23,989 23,385 25,312 31,913 23,153 27,384 30,632 0.3 3.8 2.6 3.1 2.7 2.9 3.7 2.8 220 277 292 249 67 294 175 90 Greensboro--Winston-Salem--High Point, NC............. Greenville, NC........................................ Greenville-Spartanburg-Anderson, SC................... Hagerstown, MD........................................ Hamilton-Middletown, OH............................... Harrisburg-Lebanon-Carlisle, PA....................... Hartford, CT.......................................... Hattiesburg, MS....................................... Hickory-Morganton-Lenoir, NC.......................... Honolulu, HI.......................................... 28,610 25,447 27,663 26,525 29,897 30,416 38,490 22,880 24,941 30,260 29,676 26,515 28,704 27,637 30,980 31,487 39,954 23,615 25,965 30,971 3.7 4.2 3.8 4.2 3.6 3.5 3.8 3.2 4.1 2.3 112 204 134 170 81 72 11 286 228 83 Houma, LA............................................. Houston, TX........................................... Huntington-Ashland, WV-KY-OH.......................... Huntsville, AL........................................ Indianapolis, IN...................................... Iowa City, IA......................................... Jackson, MI........................................... Jackson, MS........................................... Jackson, TN........................................... Jacksonville, FL...................................... 27,147 36,729 25,099 33,789 32,487 27,232 29,488 27,073 26,788 29,955 27,091 38,114 25,577 34,225 33,655 28,578 30,828 28,074 27,811 29,918 -0.2 3.8 1.9 1.3 3.6 4.9 4.5 3.7 3.8 -0.1 181 17 238 35 40 141 85 153 165 106 Jacksonville, NC...................................... 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.......................................... 19,818 24,660 29,867 40,079 25,695 23,160 23,655 23,469 30,601 26,399 20,280 24,813 30,501 (5) 26,142 24,018 24,375 24,245 31,246 27,293 2.3 0.6 2.1 (5) 1.7 3.7 3.0 3.3 2.1 3.4 307 257 91 (5) 218 276 269 271 75 178 Kansas City, MO-KS.................................... Kenosha, WI........................................... Killeen-Temple, TX.................................... Knoxville, TN......................................... Kokomo, IN............................................ La Crosse, WI-MN...................................... Lafayette, LA......................................... 31,276 28,906 23,145 27,700 37,532 24,928 26,528 33,026 30,073 23,879 28,597 39,653 25,972 26,146 5.6 4.0 3.2 3.2 5.7 4.2 -1.4 47 102 280 139 12 227 217 Lafayette, IN......................................... Lake Charles, LA...................................... Lakeland-Winter Haven, FL............................. 28,752 27,757 26,188 29,296 27,957 26,914 1.9 0.7 2.8 123 159 188 Lancaster, PA......................................... Lansing-East Lansing, MI.............................. Laredo, TX............................................ Las Cruces, NM........................................ Las Vegas, NV-AZ...................................... Lawrence, KS.......................................... Lawton, OK............................................ Lewiston-Auburn, ME................................... Lexington, KY......................................... Lima, OH.............................................. 28,539 30,945 22,169 22,707 29,803 22,840 23,068 24,368 28,151 27,231 29,452 32,434 22,653 22,798 30,634 23,643 23,087 25,364 29,319 28,210 3.2 4.8 2.2 0.4 2.8 3.5 0.1 4.1 4.1 3.6 118 56 301 297 89 284 295 244 122 150 Lincoln, NE........................................... 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......................................... 26,602 27,698 25,387 36,571 29,172 24,618 26,041 27,692 29,863 26,660 27,431 28,620 25,865 37,748 30,473 24,727 26,857 28,355 31,097 27,307 3.1 3.3 1.9 3.2 4.5 0.4 3.1 2.4 4.1 2.4 174 138 232 19 93 264 190 147 77 177 Mayaguez, PR.......................................... McAllen-Edinburg-Mission, TX.......................... Medford-Ashland, OR................................... Melbourne-Titusville-Palm Bay, FL..................... Memphis, TN-AR-MS..................................... Merced, CA............................................ Miami-Dade, FL........................................ Middlesex-Somerset-Hunterdon, NJ...................... Milwaukee-Waukesha, WI................................ Minneapolis-St. Paul, MN-WI........................... 15,487 20,689 24,275 29,492 31,285 22,380 30,867 44,567 32,130 35,624 16,047 21,105 25,677 29,961 32,591 23,502 32,059 (5) 33,375 37,248 3.6 2.0 5.8 1.6 4.2 5.0 3.9 (5) 3.9 4.6 312 304 235 105 52 287 65 (5) 43 22 Missoula, MT.......................................... Mobile, AL............................................ Modesto, CA........................................... Monmouth-Ocean, NJ.................................... Monroe, LA............................................ Montgomery, AL........................................ Muncie, IN............................................ Myrtle Beach, SC...................................... Naples, FL............................................ Nashville, TN......................................... 23,266(6) 25,832 26,040 33,233 24,520 26,159 26,490 20,762 26,802 30,691 24,127(7) 26,595 26,958 (5) 25,356 27,309 26,775 21,691 28,008 31,711 3.7 3.0 3.5 (5) 3.4 4.4 1.1 4.5 4.5 3.3 273 200 185 (5) 245 176 193 303 157 71 Nassau-Suffolk, NY.................................... 35,783 36,944 3.2 23 New Haven-Bridgeport-Stamford-Waterbury-Danbury, CT... 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............................................. 44,812 34,618 28,984 50,381 42,906 26,870 26,131 38,559 23,591 47,142 35,409 29,365 52,351 (5) 27,671 27,156 40,975 24,196 5.2 2.3 1.3 3.9 (5) 3.0 3.9 6.3 2.6 4 27 120 2 (5) 169 180 7 272 Odessa-Midland, TX.................................... Oklahoma City, OK..................................... Olympia, WA........................................... Omaha, NE-IA.......................................... Orange County, CA..................................... Orlando, FL........................................... Owensboro, KY......................................... Panama City, FL....................................... Parkersburg-Marietta, WV-OH........................... Pensacola, FL......................................... 28,384 25,972 28,456 28,593 35,717 27,796 24,107 23,916 26,426 24,888 27,785 26,700 29,702 30,084 37,487 28,781 25,077 23,841 26,770 25,172 -2.1 2.8 4.4 5.2 5.0 3.5 4.0 -0.3 1.3 1.1 166 196 111 101 20 133 255 281 194 251 Peoria-Pekin, IL...................................... Philadelphia, PA-NJ................................... Phoenix-Mesa, AZ...................................... Pine Bluff, AR........................................ Pittsburgh, PA........................................ Pittsfield, MA........................................ Pocatello, ID......................................... Ponce, PR............................................. Portland, ME.......................................... Portland-Vancouver, OR-WA............................. 30,749 36,231 31,197 24,777 31,369 28,882 22,656 15,720 28,897 32,840 31,784 (5) 32,430 25,339 33,057 29,629 23,322 16,198 30,412 34,380 3.4 (5) 4.0 2.3 5.4 2.6 2.9 3.0 5.2 4.7 69 (5) 57 247 46 115 293 311 96 32 Providence-Warwick-Pawtucket, RI...................... Provo-Orem, UT........................................ Pueblo, CO............................................ Punta Gorda, FL....................................... Racine, WI............................................ Raleigh-Durham-Chapel Hill, NC........................ Rapid City, SD........................................ Reading, PA........................................... Redding, CA........................................... Reno, NV.............................................. 30,092 25,292 23,952 23,144 31,348 32,821 22,204 30,541 25,399 29,832 31,053 26,543 24,605 23,393 32,532 34,866 23,406 31,002 25,906 31,380 3.2 4.9 2.7 1.1 3.8 6.2 5.4 1.5 2.0 5.2 78 203 266 291 54 30 289 79 230 74 Richland-Kennewick-Pasco, WA.......................... Richmond-Petersburg, VA............................... Riverside-San Bernardino, CA.......................... Roanoke, VA........................................... Rochester, MN......................................... Rochester, NY......................................... 29,517 31,404 27,529 26,750 33,125 32,084 30,088 33,012 28,328 28,011 35,025 32,588 1.9 5.1 2.9 4.7 5.7 1.6 100 48 148 156 29 53 Rockford, IL.......................................... Rocky Mount, NC....................................... Sacramento, CA........................................ Saginaw-Bay City-Midland, MI.......................... 30,598 25,729 32,979 33,330 31,441 26,798 34,266 33,990 2.8 4.2 3.9 2.0 73 192 34 36 St. Cloud, MN......................................... St. Joseph, MO........................................ St. Louis, MO-IL...................................... Salem, OR............................................. Salinas, CA........................................... Salt Lake City-Ogden, UT.............................. San Angelo, TX........................................ San Antonio, TX....................................... San Diego, CA......................................... San Francisco, CA..................................... 26,207 25,104 32,256 25,738 27,279 28,370 23,454 26,976 32,210 45,644 26,148 26,000 33,345 26,931 28,500 29,486 24,521 28,068 34,690 50,169 -0.2 3.6 3.4 4.6 4.5 3.9 4.5 4.0 7.7 9.9 216 225 44 187 143 117 268 154 31 3 San Jose, CA.......................................... San Juan-Bayamon, PR.................................. San Luis Obispo-Atascadero-Paso Robles, CA............ Santa Barbara-Santa Maria-Lompoc, CA.................. Santa Cruz-Watsonville, CA............................ Santa Fe, NM.......................................... Santa Rosa, CA........................................ Sarasota-Bradenton, FL................................ Savannah, GA.......................................... Scranton--Wilkes-Barre--Hazleton, PA.................. 51,397 19,113 25,853 29,279 28,836 26,924 30,631 (8) 27,745 26,068 61,110 19,720 26,441 30,092 30,975 27,559 32,077 25,506 28,643 26,593 18.9 3.2 2.3 2.8 7.4 2.4 4.7 (8) 3.2 2.0 1 308 208 99 82 172 63 241 136 201 Seattle-Bellevue-Everett, WA.......................... Sharon, PA............................................ Sheboygan, WI......................................... Sherman-Denison, TX................................... Shreveport-Bossier City, LA........................... Sioux City, IA-NE..................................... Sioux Falls, SD....................................... South Bend, IN........................................ Spokane, WA........................................... Springfield, IL....................................... 39,849 24,868 28,164 27,026 25,546 24,793 25,969 27,683 26,553 32,610 43,921 25,442 29,622 28,098 26,272 25,440 26,964 28,632 27,566 33,990 10.2 2.3 5.2 4.0 2.8 2.6 3.8 3.4 3.8 4.2 5 242 116 152 214 243 184 137 171 37 Springfield, MO....................................... Springfield, MA....................................... State College, PA..................................... Steubenville-Weirton, OH-WV........................... Stockton-Lodi, CA..................................... Sumter, SC............................................ Syracuse, NY.......................................... Tacoma, WA............................................ Tallahassee, FL....................................... Tampa-St. Petersburg-Clearwater, FL................... 24,733 29,392 26,964 26,346 27,011 22,206 29,593 27,482 26,920 28,249 25,508 30,281 27,971 26,742 27,921 22,758 30,423 28,654 27,544 29,342 3.1 3.0 3.7 1.5 3.4 2.5 2.8 4.3 2.3 3.9 240 97 158 195 162 298 95 135 173 121 Terre Haute, IN....................................... Texarkana, TX-Texarkana, AR........................... Toledo, OH............................................ Topeka, KS............................................ Trenton, NJ........................................... Tucson, AZ............................................ Tulsa, OK............................................. Tuscaloosa, AL........................................ Tyler, TX............................................. Utica-Rome, NY........................................ 25,515 24,212 29,705 27,472 41,612 26,764 28,670 27,001 27,568 25,194 26,402 24,828 30,890 28,464 (5) 28,194 29,273 28,384 28,505 25,881 3.5 2.5 4.0 3.6 (5) 5.3 2.1 5.1 3.4 2.7 211 256 84 144 (5) 151 124 145 142 231 Vallejo-Fairfield-Napa, CA............................ Ventura, CA........................................... Victoria, TX.......................................... Vineland-Millville-Bridgeton, NJ...................... Visalia-Tulare-Porterville, CA........................ Waco, TX.............................................. Washington, DC-MD-VA-WV............................... Waterloo-Cedar Falls, IA.............................. Wausau, WI............................................ West Palm Beach-Boca Raton, FL........................ 28,309 31,973 25,335 30,198 21,826 25,468 40,585 26,697 26,951 31,877 29,674 33,927 25,707 (5) 22,703 26,487 42,601 26,352 27,853 32,609 4.8 6.1 1.5 (5) 4.0 4.0 5.0 -1.3 3.3 2.3 113 38 233 (5) 299 206 6 212 164 51 Wheeling, WV-OH....................................... Wichita, KS........................................... Wichita Falls, TX..................................... Williamsport, PA...................................... Wilmington-Newark, DE-MD.............................. Wilmington, NC........................................ Yakima, WA............................................ Yolo, CA.............................................. York, PA.............................................. Youngstown-Warren, OH................................. 23,594 30,479 23,000 25,141 36,758 25,621 21,518 32,025 29,280 27,110 24,792 30,770 23,395 26,101 37,990 27,017 22,400 32,341 29,817 27,932 5.1 1.0 1.7 3.8 3.4 5.4 4.1 1.0 1.8 3.0 260 87 290 223 18 182 302 60 109 161 Yuba City, CA......................................... Yuma, AZ.............................................. 23,983 19,894 25,129 20,363 4.8 2.4 253 306 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 of June 1999. In the New England areas, the New England County Metropolitan Area (NECMA) definitions were used. See Technical Note. 3 Data are preliminary. 4 Totals were calculated using estimated data for New Jersey for the fourth quarter in 1999 and do not include the six MSAs within Puerto Rico. 5 MSAs containing New Jersey data are not available for 1999. Please see text for more information. 6 Data are being provided for over-the-year comparison purposes only. 7 Data consists of a new MSA. 8 Data are not available for release. Table 2. Average annual pay for 1998 and 1999 for all covered workers(1) by Consolidated Metropolitan Statistical Area Average annual pay Consolidated metropolitan statistical area(2) Ranking of areas 1998 1999(3) Percent change, 1998-1999 By level of average annual pay for 1999 Consolidated metropolitan statistical areas(4)........ $37,851 $39,695 4.9 - 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............................... 38,335 37,094 31,919 31,994 35,718 35,415 38,599 36,247 34,932 30,530 40,903 38,765 33,296 32,903 37,503 37,833 39,926 37,550 36,182 31,725 6.7 4.5 4.3 2.8 5.0 6.8 3.4 3.6 3.6 3.9 2 6 14 15 9 7 4 8 10 16 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...................... San Juan-Caguas-Arecibo, PR............................. Seattle-Tacoma-Bremerton, WA............................ Washington-Baltimore, DC-MD-VA-WV....................... 32,062 44,582 35,666 31,913 32,877 43,127 18,734 37,174 37,928 33,301 (5) (5) 33,408 34,062 48,073 19,319 40,612 39,675 3.9 (5) (5) 4.7 3.6 11.5 3.1 9.2 4.6 13 (5) (5) 12 11 1 17 3 5 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 of June 1999. In the New England areas, the New England County Metropolitan Area (NECMA) definitions were used. See Technical Note. 3 Data are preliminary. 4 Totals were calculated using estimated data for New Jersey for the fourth quarter in 1999 and do not include the six MSAs within Puerto Rico. 5 CMSAs containing New Jersey data are not available for 1999. Please see text for more information.