
An official website of the United States government
17-1499-NEW
Thursday, November 09, 2017
Average weekly wages in New York County, commonly known as the borough of Manhattan, increased 6.3 percent from the first quarter of 2016 to the first quarter of 2017, the U.S. Bureau of Labor Statistics reported today. Chief Regional Economist Martin Kohli noted that average weekly wages grew the most in the financial activities and the trade, transportation, and utilities sectors. Manhattan’s average weekly wage of $2,954 ranked the highest among the nation’s 346 large counties, those with 75,000 or more jobs. Nationally, wages increased 6.6 percent over the year. (See chart 1.)
The fastest rate of employment growth among the City’s boroughs was in Brooklyn (Kings County), up 3.2 percent. (See table 1.) Nationally, employment grew 1.6 percent from March 2016 to March 2017. (See chart 2.)
Over-the-year wage changesAll five boroughs of New York City had over-the-year increases in average weekly wages but none exceeded the national average for wage growth. Manhattan (New York County), at 6.3 percent, had the largest increase in the City, and ranked 183rd among the nation’s 346 large counties. Wage gains in Brooklyn, Bronx, Queens, and Staten Island (Richmond County) ranked among the bottom quarter of the nation’s large counties.
In Manhattan, all 10 supersectors had over-the-year gains in average weekly wages. Financial activities had the largest increase, 10.7 percent, and accounted for most of the borough’s average weekly wage growth. Trade, transportation, and utilities increased 7.3 percent, followed by manufacturing with a 6.1-percent increase. No supersector had over-the-year gains in average weekly wages below 1.0 percent.
Nationally, all supersectors had over-the-year wage gains. The largest increase in average weekly wages occurred in information (10.0 percent), followed by financial activities (7.9 percent). The supersector with the smallest gain in average weekly wages from the previous year was government (5.0 percent).
Among the 346 largest U.S. counties, 345 had over-the-year increases in average weekly wages. McLean, Ill., had the largest wage gain (27.8 percent). Peoria, Ill., was the only large county to have a decline in average weekly wages (-1.1 percent).
Average weekly wagesManhattan’s average weekly wage of $2,954 during the year ending in the first quarter of 2017 was over two and a half times the national average of $1,111. Queens had a weekly wage of $1,010, the second highest among the four other New York City boroughs. Brooklyn had the lowest weekly wage ($864). (See chart 3.)
In Manhattan, the financial activities supersector had the highest first-quarter average weekly wage, $9,424. (See table 2.) Information had the second-highest average wage ($3,390), followed by natural resources and mining ($2,715) and professional and business services ($2,625). Manhattan’s leisure and hospitality supersector had the lowest average weekly wage, $877. Wages in every supersector were higher in Manhattan than their respective national averages.
Among the 346 largest counties in the nation, 94 large counties had average weekly wages at or above the U.S. average. Manhattan had the highest average weekly wage at $2,954, followed by Santa Clara, Calif., ($2,450) San Mateo, Calif., ($2,385); San Francisco, Calif., $2,264; and Somerset, N.J., $2,026. Four of the 10 counties with the highest wages in the nation were located in New York, N.Y.; Somerset, N.J.; Fairfield, Conn.; and Morris, N.J.
EmploymentFrom March 2016 to March 2017, two New York City counties gained jobs at rates above the national average of 1.6 percent. Brooklyn’s employment growth of 3.2 percent ranked 34th among the nation’s 346 largest counties and Queens’ 2.7-percent gain ranked 73rd. The other three boroughs had rates below the national average. Staten Island had a 1.4-percent annual gain in employment while Manhattan had a gain of 1.3 percent. Employment in the Bronx grew 0.2 percent.
In Manhattan, 6 of 10 supersectors with 1,000 or more employees gained jobs over-the-year. Information had the largest employment growth (2.9 percent), followed by professional and business services (1.9 percent) and leisure and hospitality (1.8 percent). Manufacturing had the largest employment decline (-5.9 percent) followed by trade, transportation and utilities (-0.9 percent).
Nationally, employment increased in 299 of the 346 largest U.S. counties from March 2016 to March 2017. York, S.C., had the largest increase, with a gain of 6.8 percent over the year. Conversely, employment declined in 39 of the large counties. Kanawha, W.Va., had the largest over-the-year percentage decrease in employment (-2.7 percent).
Additional statistics and other informationQCEW data for states have been included in this release in table 3. For additional information about quarterly employment and wages data, please read the Technical Note or visit www.bls.gov/cew.
Employment and Wages Annual Averages Online features comprehensive information by detailed industry on establishments, employment, and wages for the nation and all states. The 2016 edition of this publication contains selected data produced by Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the first quarter 2017 version of the national news release. Tables and additional content from Employment and Wages Annual Averages 2016 are now available online at https://www.bls.gov/cew/publications/employment-and-wages-annual-averages/2016/home.htm. The 2017 edition of Employment and Wages Annual Averages Online will be available in September 2018.
County employment and wage data for the second quarter 2017 are scheduled to be released on Tuesday, December 5, 2017.
Beginning with this release, the QCEW program now uses the 2017 version of the North American Industry Classification System (NAICS) as the basis for the assignment and tabulation of economic data by industry. For more information on the change to NAICS, please see the Federal Register notice at www.census.gov/eos/www/naics/federal_register_notices/notices/fr08au16.pdf. For information on the use of the 2017 version of NAICS in QCEW, see https://www.bls.gov/cew/publications/employment-and-wages-annual-averages/2017/home.htm.
Average weekly wage data by county are compiled under the Quarterly Census of Employment and Wages (QCEW) program, also known as the ES-202 program. The data are derived from summaries of employment and total pay of workers covered by state and federal unemployment insurance (UI) legislation and provided by State Workforce Agencies (SWAs). The 9.9 million employer reports cover 142.3 million full- and part-time workers. The average weekly wage values are calculated by dividing quarterly total wages by the average of the three monthly employment levels of those covered by UI programs. The result is then divided by 13, the number of weeks in a quarter. It is to be noted, therefore, that over-the-year wage changes for geographic areas may reflect shifts in the composition of employment by industry, occupation, and such other factors as hours of work. Thus, wages may vary among counties, metropolitan areas, or states for reasons other than changes in the average wage level. Data for all states, Metropolitan Statistical Areas (MSAs), counties, and the nation are available on the BLS Web site at www.bls.gov/cew/; however, data in QCEW press releases have been revised and may not match the data contained on the Bureau’s Web site.
QCEW data are not designed as a time series. QCEW data are simply the sums of individual establishment records reflecting the number of establishments that exist in a county or industry at a point in time. Establishments can move in or out of a county or industry for a number of reasons–some reflecting economic events, others reflecting administrative changes.
The preliminary QCEW data presented in this release may differ from data released by the individual states as well as from the data presented on the BLS Web site. These potential differences result from the states’ continuing receipt, review and editing of UI data over time. On the other hand, differences between data in this release and the data found on the BLS Web site are the result of adjustments made to improve over-the-year comparisons. Specifically, these adjustments account for administrative (noneconomic) changes such as a correction to a previously reported location or industry classification. Adjusting for these administrative changes allows users to more accurately assess changes of an economic nature (such as a firm moving from one county to another or changing its primary economic activity) over a 12-month period. Currently, adjusted data are available only from BLS press releases.
Information in this release will be made available to sensory impaired individuals upon request. Voice phone: (202) 691-5200; Federal Relay Service: (800) 877-8339.
Area | Employment | Average weekly wage (1) | |||||
---|---|---|---|---|---|---|---|
March 2017 (thousands) | Percent change, March 2016-17 (2) | National ranking by percent change (3) | First quarter 2017 | National ranking by level (3) | Percent change, first quarter 2016-17 (2) | National ranking by percent change (3) | |
United States (4) |
142,309.2 | 1.6 | -- | $1,111 | -- | 6.6 | -- |
New York |
9,159.3 | 1.3 | -- | 1,541 | 2 | 5.9 | 38 |
Bronx, N.Y. |
298.7 | 0.2 | 287 | 971 | 173 | 5.0 | 267 |
Kings, N.Y. |
700.2 | 3.2 | 34 | 864 | 272 | 5.1 | 260 |
New York, N.Y. |
2,436.8 | 1.3 | 190 | 2,954 | 1 | 6.3 | 183 |
Queens, N.Y. |
654.6 | 2.7 | 73 | 1,010 | 151 | 4.7 | 284 |
Richmond, N.Y. |
114.7 | 1.4 | 181 | 903 | 232 | 4.3 | 302 |
Footnotes: |
|||||||
Note: Data are preliminary. Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. |
Area | Employment | Average weekly wage(1) | ||
---|---|---|---|---|
March 2017 (thousands) | Percent change March 2016-17(2) | First quarter 2017 | Percent change, first quarter 2016-17(2) | |
United States(3) |
142,309.2 | 1.6 | $1,111 | 6.6 |
Private industry |
120,451.2 | 1.7 | 1,121 | 7.0 |
Natural resources and mining |
1,746.4 | -0.1 | 1,218 | 5.3 |
Construction |
6,595.2 | 3.3 | 1,130 | 7.5 |
Manufacturing |
12,303.9 | 0.0 | 1,353 | 7.2 |
Trade, transportation, and utilities |
26,775.5 | 0.8 | 916 | 7.1 |
Information |
2,797.2 | 0.5 | 2,210 | 10.0 |
Financial activities |
7,993.6 | 1.6 | 2,279 | 7.9 |
Professional and business services |
19,981.9 | 1.8 | 1,470 | 6.6 |
Education and health services |
22,041.4 | 2.4 | 919 | 6.5 |
Leisure and hospitality |
15,454.4 | 2.1 | 432 | 6.1 |
Other services |
4,383.4 | 1.2 | 710 | 6.9 |
Government |
21,858.0 | 0.7 | 1,056 | 5.0 |
New York, N.Y. |
2,436.8 | 1.3 | 2,954 | 6.3 |
Private industry |
2,170.4 | 1.4 | 3,155 | 6.4 |
Natural resources and mining |
0.2 | -6.3 | 2,715 | -0.6 |
Construction |
40.0 | -0.8 | 1,918 | 5.8 |
Manufacturing |
25.2 | -5.9 | 1,699 | 6.1 |
Trade, transportation, and utilities |
249.6 | -0.9 | 1,502 | 7.3 |
Information |
158.8 | 2.9 | 3,390 | 6.0 |
Financial activities |
368.0 | -0.8 | 9,424 | 10.7 |
Professional and business services |
564.2 | 1.9 | 2,625 | 1.3 |
Education and health services |
351.3 | 1.6 | 1,282 | 5.2 |
Leisure and hospitality |
294.3 | 1.8 | 877 | 5.9 |
Other services |
102.5 | 0.9 | 1,276 | 5.8 |
Government |
266.4 | 0.5 | 1,306 | 2.9 |
Footnotes: |
||||
Note: Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. Data are preliminary. |
State | Employment | Average weekly wage (1) | ||||
---|---|---|---|---|---|---|
March 2017 (thousands) | Percent change, March 2016-17 | Average weekly wage | National ranking by level | Percent change, first quarter 2016-17 | National ranking by percent change | |
United States (2) |
142,309.2 | 1.6 | $1,111 | -- | 6.6 | -- |
Alabama |
1,928.9 | 1.4 | 893 | 36 | 6.2 | 35 |
Alaska |
312.8 | -1.8 | 1,061 | 18 | 3.9 | 50 |
Arizona |
2,743.0 | 2.4 | 991 | 21 | 8.1 | 4 |
Arkansas |
1,199.9 | 0.7 | 859 | 45 | 8.5 | 3 |
California |
16,831.4 | 2.3 | 1,295 | 6 | 7.6 | 7 |
Colorado |
2,573.2 | 2.3 | 1,136 | 12 | 7.5 | 10 |
Connecticut |
1,651.5 | 0.1 | 1,417 | 4 | 4.0 | 49 |
Delaware |
433.2 | 0.8 | 1,185 | 9 | 10.7 | 1 |
District of Columbia |
760.7 | 1.2 | 1,885 | 1 | 7.0 | 16 |
Florida |
8,532.6 | 2.8 | 949 | 27 | 7.2 | 13 |
Georgia |
4,317.1 | 2.7 | 1,068 | 17 | 6.1 | 37 |
Hawaii |
653.6 | 0.9 | 954 | 25 | 6.8 | 22 |
Idaho |
690.4 | 3.0 | 775 | 50 | 7.0 | 16 |
Illinois |
5,842.0 | 0.5 | 1,195 | 8 | 6.3 | 34 |
Indiana |
2,985.8 | 1.2 | 918 | 32 | 7.6 | 7 |
Iowa |
1,518.3 | 0.0 | 899 | 35 | 6.5 | 30 |
Kansas |
1,368.0 | 0.4 | 888 | 38 | 6.7 | 25 |
Kentucky |
1,864.1 | 1.1 | 879 | 41 | 6.9 | 18 |
Louisiana |
1,901.3 | -0.5 | 906 | 33 | 5.5 | 43 |
Maine |
586.7 | 1.0 | 860 | 44 | 7.2 | 13 |
Maryland |
2,626.0 | 1.2 | 1,171 | 10 | 5.8 | 42 |
Massachusetts |
3,464.0 | 1.1 | 1,428 | 3 | 7.7 | 6 |
Michigan |
4,230.6 | 1.7 | 1,041 | 20 | 6.8 | 22 |
Minnesota |
2,806.4 | 2.1 | 1,149 | 11 | 7.9 | 5 |
Mississippi |
1,122.9 | 0.1 | 750 | 51 | 5.3 | 46 |
Missouri |
2,767.0 | 1.4 | 930 | 31 | 5.9 | 38 |
Montana |
451.5 | 1.4 | 800 | 49 | 6.5 | 30 |
Nebraska |
960.7 | 0.4 | 868 | 42 | 6.4 | 33 |
Nevada |
1,311.6 | 3.8 | 932 | 30 | 6.9 | 18 |
New Hampshire |
643.2 | 1.2 | 1,070 | 16 | 7.3 | 11 |
New Jersey |
3,955.1 | 1.5 | 1,333 | 5 | 5.0 | 47 |
New Mexico |
803.3 | 0.2 | 838 | 46 | 5.9 | 38 |
New York |
9,159.3 | 1.3 | 1,541 | 2 | 5.9 | 38 |
North Carolina |
4,287.0 | 1.8 | 991 | 21 | 6.9 | 18 |
North Dakota |
405.7 | -1.0 | 953 | 26 | 5.0 | 47 |
Ohio |
5,278.3 | 0.8 | 976 | 24 | 6.7 | 25 |
Oklahoma |
1,563.9 | -1.0 | 883 | 39 | 5.9 | 38 |
Oregon |
1,855.0 | 2.5 | 984 | 23 | 5.4 | 45 |
Pennsylvania |
5,712.3 | 0.8 | 1,078 | 15 | 6.5 | 30 |
Rhode Island |
465.4 | 0.3 | 1,055 | 19 | 7.2 | 13 |
South Carolina |
2,017.9 | 2.2 | 864 | 43 | 7.3 | 11 |
South Dakota |
413.4 | 0.7 | 819 | 48 | 6.2 | 35 |
Tennessee |
2,906.2 | 1.8 | 945 | 28 | 6.7 | 25 |
Texas |
11,924.5 | 1.7 | 1,124 | 14 | 5.5 | 43 |
Utah |
1,411.3 | 3.1 | 905 | 34 | 6.6 | 29 |
Vermont |
305.6 | 0.2 | 889 | 37 | 6.7 | 25 |
Virginia |
3,796.3 | 1.4 | 1,129 | 13 | 6.9 | 18 |
Washington |
3,225.9 | 2.6 | 1,215 | 7 | 8.6 | 2 |
West Virginia |
678.2 | -0.8 | 837 | 47 | 7.6 | 7 |
Wisconsin |
2,803.7 | 1.1 | 933 | 29 | 6.8 | 22 |
Wyoming |
262.4 | -2.3 | 880 | 40 | 3.3 | 51 |
Puerto Rico |
887.7 | -0.9 | 526 | (3) | 1.2 | (3) |
Virgin Islands |
38.7 | 0.0 | 797 | (3) | 3.1 | (3) |
Footnotes: |
||||||
Note: Data are preliminary. Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. |
Last Modified Date: Thursday, November 09, 2017