STATE EMPLOYMENT AND UNEMPLOYMENT JUNE 2018

Transcription

1 For release 10:00 a.m. (EDT) Friday, July 20, USDL Technical information: Employment: Unemployment: Media contact: (202) (202) (202) STATE EMPLOYMENT AND UNEMPLOYMENT JUNE Unemployment rates were lower in in 9 states, higher in 3 states, and stable in 38 states and the District of Columbia, the U.S. Bureau of Labor Statistics reported today. Ten states had jobless rate decreases from a year earlier and 40 states and the District had little or no change. The national unemployment rate rose by 0.2 percentage point from to 4.0 percent but was 0.3 point lower than in Nonfarm payroll employment increased in 5 states in, decreased in 1 state, and was essentially unchanged in 44 states and the District of Columbia. Over the year, 32 states added nonfarm payroll jobs and 18 states and the District were essentially unchanged. Unemployment Hawaii had the lowest unemployment rate in, 2.1 percent. The rate in Oregon (4.0 percent) set a new series low. (All state series begin in 1976.) Alaska had the highest jobless rate, 7.1 percent. In total, 16 states had unemployment rates lower than the U.S. figure of 4.0 percent, 6 states and the District of Columbia had higher rates, and 28 states had rates that were not appreciably different from that of the nation. (See tables A and 1 and map 1.) In, nine states had unemployment rate decreases, the largest of which were in New Mexico, Pennsylvania, and South Carolina (-0.2 percentage point each). Three states had over-the-month rate increases: Ohio (+0.2 percentage point) and Louisiana and Maine (+0.1 point each). The remaining 38 states and the District of Columbia had jobless rates that were not notably different from those of a month earlier, though some had changes that were at least as large numerically as the significant changes. (See table B.) Ten states had unemployment rate changes from 2017, all of which were decreases. The largest decline occurred in New Mexico (-1.2 percentage points), followed by Kentucky (-0.9 point). (See table C.)

2 Nonfarm Payroll Employment Five states had over-the-month increases in nonfarm payroll employment in. The largest increases occurred in Massachusetts (+21,400), Illinois (+18,100), and Georgia (+14,200). In percentage terms, the largest increase occurred in Massachusetts (+0.6 percent), followed by Tennessee (+0.4 percent) and Georgia, Illinois, and North Carolina (+0.3 percent each). West Virginia lost jobs over the month (-8,000, or -1.1 percent). (See tables D and 3.) Thirty-two states had over-the-year increases in nonfarm payroll employment in. The largest job gains occurred in Texas (+359,500), California (+269,100), and Florida (+170,500). The largest percentage gains occurred in Idaho and Utah (+3.0 percent each), followed by Texas (+2.9 percent). (See table E and map 2.) The Metropolitan Area Employment and Unemployment news release for is scheduled to be released on Wednesday, August 1,, at 10:00 a.m. (EDT). The Employment and Unemployment news release for July is scheduled to be released on Friday, August 17,, at 10:00 a.m. (EDT)

3 Table A. s with unemployment rates significantly different from that of the U.S.,, seasonally adjusted Rate p United s Alaska Colorado District of Columbia Hawaii Idaho Indiana Iowa Kansas Louisiana Maine Minnesota Mississippi Nebraska New Hampshire New Mexico North Dakota South Dakota Utah Vermont Virginia Washington West Virginia Wisconsin Data are not preliminary. p = preliminary

4 Table B. s with statistically significant unemployment rate changes from to, seasonally adjusted Rate p Over-the-month change p Alaska Delaware Georgia Louisiana Maine Montana Nevada New Mexico Ohio Pennsylvania South Carolina South Dakota p = preliminary. Table C. s with statistically significant unemployment rate changes from 2017 to, seasonally adjusted 2017 Rate p Over-the-year change p California Delaware Georgia Illinois Iowa Kentucky Maine New Mexico New York Virginia p = preliminary

5 Table D. s with statistically significant employment changes from to, seasonally adjusted Over-the-month change p p Level Percent Georgia... 4,519,100 4,533,300 14, Illinois... 6,108,000 6,126,100 18,100.3 Massachusetts... 3,654,100 3,675,500 21,400.6 North Carolina... 4,505,100 4,518,300 13,200.3 Tennessee... 3,056,800 3,069,800 13,000.4 West Virginia , ,000-8, p = preliminary

6 Table E. s with statistically significant employment changes from 2017 to, seasonally adjusted Over-the-year change p 2017 p Level Percent Alabama... 2,015,500 2,042,200 26, Arizona... 2,774,900 2,841,000 66, California... 16,822,900 17,092, , Colorado... 2,655,000 2,729,600 74, Florida... 8,588,900 8,759, , Georgia... 4,456,000 4,533,300 77, Idaho , ,900 21, Illinois... 6,067,800 6,126,100 58, Kansas... 1,399,900 1,424,700 24, Massachusetts... 3,612,300 3,675,500 63, Michigan... 4,375,600 4,427,200 51, Minnesota... 2,929,000 2,962,300 33, Mississippi... 1,150,800 1,168,300 17, Missouri... 2,869,200 2,903,500 34, Nebraska... 1,017,300 1,030,900 13, Nevada... 1,340,200 1,377,800 37, New Hampshire , ,600 12, New Jersey... 4,135,600 4,179,500 43, New Mexico , ,500 12, New York... 9,527,200 9,634, , North Carolina... 4,414,900 4,518, , Ohio... 5,532,400 5,604,700 72, Oklahoma... 1,663,500 1,690,700 27, Oregon... 1,873,800 1,911,800 38, Pennsylvania... 5,939,400 6,016,900 77, South Carolina... 2,090,500 2,125,700 35, Tennessee... 3,010,300 3,069,800 59, Texas... 12,216,000 12,575, , Utah... 1,469,000 1,512,900 43, Virginia... 3,958,100 4,001,900 43, Washington... 3,325,800 3,415,800 90, Wisconsin... 2,946,100 2,976,100 30, p = preliminary

7 Technical Note This news release presents civilian labor force and unemployment data for states and selected substate areas from the Local Area Unemployment Statistics (LAUS) program (tables 1 and 2). Also presented are nonfarm payroll employment estimates by state and industry supersector from the Current Employment Statistics (CES) program (tables 3 and 4). The LAUS and CES programs are both federal-state cooperative endeavors. Civilian labor force and unemployment from the LAUS program Definitions. The civilian labor force and unemployment data are based on the same concepts and definitions as those used for the official national estimates obtained from the Current Population Survey (CPS), a sample survey of households that is conducted for the Bureau of Labor Statistics (BLS) by the U.S. Census Bureau. The LAUS program measures employed people and unemployed people on a placeof-residence basis. The universe for each is the civilian noninstitutional population 16 years of age and older. Employed people are those who did any work at all for pay or profit in the reference week (typically the week including the 12th of the month) or worked 15 hours or more without pay in a family business or farm, plus those not working who had a job from which they were temporarily absent, whether or not paid, for such reasons as bad weather, labor-management dispute, illness, or vacation. Unemployed people are those who were not employed during the reference week (based on the definition above), had actively looked for a job sometime in the 4-week period ending with the reference week, and were currently available for work; people on layoff expecting recall need not be looking for work to be counted as unemployed. The civilian labor force is the sum of employed and unemployed people. The unemployment rate is the number of unemployed as a percent of the civilian labor force. Method of estimation. Estimates for 48 states, the District of Columbia, the Los Angeles-Long Beach-Glendale metropolitan division, New York City, and the balances of California and New York are produced using time-series models. This method, which underwent substantial enhancement at the beginning of 2015, utilizes data from several sources, including the CPS, the CES, and state unemployment insurance (UI) programs. Estimates for the state of California are derived by summing the estimates for the Los Angeles-Long Beach-Glendale metropolitan division and the balance of California. Similarly, estimates for New York are derived by summing the estimates for New York City and the balance of New York. Estimates for the five additional substate areas contained in this release (the Cleveland-Elyria and Detroit-Warren-Dearborn metropolitan areas and the Chicago-Naperville-Arlington Heights, Miami-Miami Beach- Kendall, and Seattle-Bellevue-Everett metropolitan divisions) and their respective balances of state are produced using a similar model-based approach. Each month, estimates for the nine census divisions first are modeled using inputs from the CPS only and controlled to the national totals. estimates then are controlled to their respective census division totals. Substate and balance-of-state estimates for the five areas noted above also are controlled to their respective state totals. This tiered process of controlling model-based estimates to the U.S. totals is called real-time benchmarking. Estimates for Puerto Rico are derived from a monthly household survey similar to the CPS. A more detailed description of the estimation procedures is available from BLS upon request. Annual revisions. Civilian labor force and unemployment data for prior years reflect adjustments made after the end of each year. The adjusted estimates reflect updated population data from the U.S. Census Bureau, any revisions in the other data sources, and model re-estimation. In most years, historical data for the most recent five years are revised near the beginning of each calendar year, prior to the release of January estimates. With the introduction of a new generation of timesseries models in early 2015, historical data were re-estimated back to the series beginnings in 1976, 1990, or Seasonal adjustment. The LAUS models decompose the estimates of employed and unemployed people into trend, seasonal, and irregular components. Prior to, the benchmarked trend component of each measure had been smoothed using a Trend-Cycle Cascade Filter. With changes implemented in early, the benchmarked signals of employed and unemployed people first are adjusted using an X- 11 type of seasonal adjustment filter. The adjusted data then are smoothed using a Reproducing Kernel Hilbert Space (RKHS) filter. The smoothed-seasonally adjusted estimates of employed and unemployed people are summed to derive the civilian labor force, and the unemployment rate then is calculated as the unemployed percent of the civilian labor force. The resulting smoothed-seasonally adjusted unemployment rate estimates are analyzed in this news release and published on the BLS website. During estimation for the current year, the smoothedseasonally adjusted estimates for a given month are created using an asymmetric filter that incorporates information from previous observations only. For annual revisions, historical data are smoothed using a two-sided filter. In early, historical data were re-estimated back to the series beginnings in 1976, 1990, or 1994 to incorporate the changes to the seasonal adjustment and smoothing procedures described above. Area definitions. The substate area data published in this release reflect the delineations that were issued by the U.S. Office of Management and Budget on July 15, A detailed list of the geographic definitions is available online at Employment from the CES program Definitions. Employment data refer to persons on establishment payrolls who receive pay for any part of the pay period that includes the 12th of the month. Persons are counted at their place of work rather than at their place of residence; those appearing on more than one payroll are counted on each

8 payroll. Industries are classified on the basis of their principal activity in accordance with the 2017 version of the North American Industry Classification System. Method of estimation. CES and Area employment data are produced using several estimation procedures. Where possible these data are produced using a "weighted link relative" estimation technique in which a ratio of current month weighted employment to that of the previous-month weighted employment is computed from a sample of establishments reporting for both months. The estimates of employment for the current month are then obtained by multiplying these ratios by the previous month s employment estimates. The weighted link relative technique is utilized for data series where the sample size meets certain statistical criteria. For some employment series, the sample of establishments is very small or highly variable. In these cases, a model-based approach is used in estimation. These models use the direct sample estimates (described above), combined with forecasts of historical (benchmarked) data to decrease volatility in estimation. Two different models (Fay-Herriot Model and Small Domain Model) are used depending on the industry level being estimated. For more detailed information about each model, refer to the BLS Handbook of Methods. Annual revisions. Employment estimates are adjusted annually to a complete count of jobs, called benchmarks, derived principally from tax reports that are submitted by employers who are covered under state unemployment insurance (UI) laws. The benchmark information is used to adjust the monthly estimates between the new benchmark and the preceding one and also to establish the level of employment for the new benchmark month. Thus, the benchmarking process establishes the level of employment, and the sample is used to measure the month-to-month changes in the level for the subsequent months. Information on recent benchmark revisions is available online at Seasonal adjustment. Payroll employment data are seasonally adjusted at the statewide expanded supersector level. In some cases, the seasonally adjusted payroll employment total is computed by aggregating the independently adjusted supersector series. In other cases, the seasonally adjusted payroll employment total is independently adjusted. Revisions to historical data for the most recent five years are made once a year, coincident with annual benchmark adjustments. Beginning with the release of January preliminary estimates, payroll employment data are seasonally adjusted concurrently, using all available estimates including those for the current month, to develop sample-based seasonal factors. Concurrent sample-based factors are created every month for the current month s preliminary estimate as well as the previous month s final estimate in order to incorporate real-time estimates. Previously, the sample-based seasonal factors were forecasted once annually at the beginning of the year and applied to the sample-based estimates for the 12 months of the year. Caution on aggregating state data. estimation procedures are designed to produce accurate data for each individual state. BLS independently develops a national employment series; state estimates are not forced to sum to national totals. Because each state series is subject to larger sampling and nonsampling errors than the national series, summing them cumulates individual state-level errors and can cause significant distortions at an aggregate level. Due to these statistical limitations, BLS does not compile a "sum-of-states" employment series, and cautions users that such a series is subject to a relatively large and volatile error structure. Reliability of the estimates The estimates presented in this release are based on sample surveys, administrative data, and modeling and, thus, are subject to sampling and other types of errors. Sampling error is a measure of sampling variability that is, variation that occurs by chance because a sample rather than the entire population is surveyed. Survey data also are subject to nonsampling errors, such as those which can be introduced into the data collection and processing operations. Estimates not directly derived from sample surveys are subject to additional errors resulting from the specific estimation processes used. Use of error measures. Changes in state unemployment rates and state nonfarm payroll employment are cited in the analysis of this release only if they have been determined to be statistically significant at the 90-percent confidence level. Furthermore, state unemployment rates for the current month generally are cited only if they have been determined to be significantly different from the U.S. rate at the 90-percent confidence level. The underlying model-based standard error measures for unemployment rates and over-the-month and over-the-year changes in rates are available at The underlying standard error measures for over-the-month and over-the-year changes in state payroll employment data at the total nonfarm and supersector levels are available at Measures of nonsampling error are not available. Additional information Estimates of civilian labor force and unemployment from the LAUS program, as well as nonfarm payroll employment from the CES program, for metropolitan areas and metropolitan divisions are available in the news release Metropolitan Area Employment and Unemployment. Estimates of civilian labor force, employed people, unemployed people, and unemployment rates for approximately 7,000 subnational areas are available online at Employment data from the CES program for states and metropolitan areas are available online at Information in this release will be made available to sensory impaired individuals upon request. Voice phone: (202) ; Federal Relay Service: (800)

9 LABOR FORCE DATA SEASONALLY ADJUSTED Table 1. Civilian labor force and unemployment by state and selected area, seasonally adjusted and area 2017 Civilian labor force p 2017 Number Unemployed p 2017 Percent of labor force p Alabama ,167,792 2,169,509 2,177,094 2,187,730 93,997 83,151 85,589 89, Alaska , , , ,257 26,036 26,455 26,248 25, Arizona ,306,223 3,370,639 3,373,872 3,374, , , , , Arkansas ,355,468 1,351,935 1,350,562 1,349,214 49,662 51,643 51,248 50, California ,301,417 19,358,521 19,344,513 19,341, , , , , Los Angeles-Long Beach-Glendale ,121,960 5,140,721 5,141,062 5,145, , , , , Colorado ,986,332 3,056,040 3,064,511 3,074,313 81,277 88,042 85,101 84, Connecticut ,919,943 1,900,950 1,898,510 1,896,561 89,614 85,750 84,893 83, Delaware , , , ,460 22,082 20,112 19,515 19, District of Columbia , , , ,342 25,021 22,741 22,802 22, Florida ,103,119 10,204,507 10,217,273 10,232, , , , , Miami-Miami Beach-Kendall ,390,785 1,391,797 1,394,447 1,398,985 66,211 66,349 64,554 62, Georgia ,057,845 5,137,984 5,144,954 5,155, , , , , Hawaii , , , ,548 16,168 14,017 13,974 14, Idaho , , , ,599 26,212 24,560 24,576 24, Illinois ,482,244 6,489,223 6,488,091 6,487, , , , , Chicago-Naperville-Arlington Heights ,783,021 3,774,183 3,758,128 3,746, , , , , Indiana ,323,074 3,335,033 3,350,540 3,365, , , , , Iowa ,680,150 1,674,213 1,675,965 1,679,867 53,071 46,965 46,039 44, Kansas ,478,974 1,474,574 1,475,552 1,477,230 53,360 50,013 49,957 49, Kentucky ,058,267 2,054,136 2,058,425 2,063, ,025 83,110 84,271 86, Louisiana ,108,571 2,137,983 2,138,890 2,137, ,987 95,658 97, , Maine , , , ,162 24,322 19,162 19,551 20, Maryland ,223,156 3,229,782 3,230,859 3,233, , , , , Massachusetts ,661,300 3,704,674 3,732,164 3,758, , , , , Michigan ,872,750 4,902,592 4,907,923 4,910, , , , , Detroit-Warren-Dearborn ,105,482 2,113,959 2,116,245 2,118,259 84,892 94,262 93,666 92, Minnesota ,063,469 3,100,993 3,107,000 3,110, ,809 99,166 97,479 95, Mississippi ,280,865 1,275,321 1,278,295 1,281,570 66,487 58,232 59,516 60, Missouri ,051,514 3,039,824 3,045,409 3,053, , , , , Montana , , , ,984 21,032 21,239 20,541 19, Nebraska ,006,927 1,012,250 1,013,245 1,013,938 29,165 28,496 28,792 28, Nevada ,461,705 1,488,928 1,492,338 1,494,952 73,817 73,125 71,809 69, New Hampshire , , , ,915 20,052 19,645 19,978 20, New Jersey ,521,158 4,489,212 4,477,907 4,475, , , , , New Mexico , , , ,284 56,684 50,571 48,095 46, New York ,725,796 9,665,693 9,658,546 9,670, , , , , New York City ,235,345 4,227,630 4,225,302 4,228, , , , , North Carolina ,937,960 4,981,554 4,987,880 4,997, , , , , North Dakota , , , ,580 10,301 10,780 10,666 10, Ohio ,788,647 5,777,645 5,787,603 5,799, , , , , Cleveland-Elyria ,033,550 1,025,780 1,026,888 1,029,993 58,966 49,463 49,471 51, Oklahoma ,832,536 1,851,095 1,854,897 1,859,061 77,920 74,671 73,804 72, Oregon ,104,103 2,129,328 2,125,668 2,119,864 86,389 87,934 86,640 84, Pennsylvania ,423,804 6,378,191 6,363,558 6,363, , , , , Rhode Island , , , ,835 24,254 25,156 24,777 23, South Carolina ,310,505 2,323,584 2,317,919 2,313,142 96,674 97,929 92,505 87, South Dakota , , , ,567 15,122 15,524 15,181 14, Tennessee ,193,624 3,231,665 3,237,502 3,245, , , , , Texas ,521,702 13,750,815 13,788,872 13,813, , , , , Utah ,559,718 1,586,291 1,589,200 1,591,396 51,193 48,588 48,085 48, Vermont , , , ,287 10,459 9,601 9,674 9, Virginia ,310,752 4,330,963 4,338,497 4,348, , , , , Washington ,721,663 3,760,565 3,760,423 3,760, , , , , Seattle-Bellevue-Everett ,647,351 1,687,997 1,686,265 1,683,655 63,202 63,839 62,940 62, West Virginia , , , ,067 38,827 42,224 42,273 41, Wisconsin ,155,117 3,175,403 3,179,816 3,183, ,547 89,508 89,208 90, Wyoming , , , ,880 11,708 10,968 10,744 10, Puerto Rico ,098,769 1,089,484 1,088,933 1,097, , , , , Metropolitan division. 2 Metropolitan statistical area. p Preliminary NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Area definitions are based on Office of Management and Budget Bulletin No , dated July 15, 2015, and are available on the BLS website at Estimates for the latest month are subject to revision the following month.

10 LABOR FORCE DATA NOT SEASONALLY ADJUSTED Table 2. Civilian labor force and unemployment by state and selected area, not seasonally adjusted and area Civilian labor force Unemployed Number Percent of labor force p p p Alabama ,163,796 2,194,490 2,180,163 2,226,756 86,255 81, , , Alaska , , , ,958 25,680 25,085 26,832 24, Arizona ,288,898 3,363,884 3,306,901 3,365, , , , , Arkansas ,358,442 1,350,631 1,374,820 1,363,752 48,170 47,668 54,092 53, California ,213,327 19,268,270 19,296,724 19,356, , , , , Los Angeles-Long Beach-Glendale ,092,293 5,128,246 5,101,231 5,141, , , , , Colorado ,963,182 3,074,492 3,004,021 3,115,806 75,693 74,560 87,832 93, Connecticut ,930,665 1,903,930 1,942,078 1,916,971 89,792 80,819 93,578 86, Delaware , , , ,712 20,587 16,689 23,782 20, District of Columbia , , , ,386 23,115 21,065 26,479 24, Florida ,120,621 10,270,192 10,127,782 10,289, , , , , Miami-Miami Beach-Kendall ,392,720 1,403,441 1,377,043 1,398,364 65,846 55,707 67,914 57, Georgia ,049,359 5,150,698 5,064,169 5,186, , , , , Hawaii , , , ,720 16,218 13,452 20,077 18, Idaho , , , ,866 23,117 21,528 24,444 22, Illinois ,460,273 6,468,648 6,561,649 6,559, , , , , Chicago-Naperville-Arlington Heights ,772,672 3,714,370 3,848,479 3,794, , , , , Indiana ,331,502 3,404,582 3,363,853 3,434, , , , , Iowa ,675,398 1,676,016 1,694,169 1,706,228 48,400 37,011 54,020 43, Kansas ,469,649 1,471,523 1,493,738 1,497,901 52,027 47,655 57,904 54, Kentucky ,061,615 2,076,235 2,084,973 2,098, ,602 87, , , Louisiana ,106,872 2,130,459 2,135,588 2,155, , , , , Maine , , , ,872 24,007 21,316 23,820 22, Maryland ,209,731 3,217,883 3,248,859 3,263, , , , , Massachusetts ,642,292 3,789,505 3,702,764 3,857, , , , , Michigan ,865,026 4,926,166 4,916,534 4,952, , , , , Detroit-Warren-Dearborn ,092,693 2,117,369 2,110,396 2,127,557 70,630 77,821 86,053 92, Minnesota ,057,119 3,109,192 3,083,747 3,132,913 94,737 77, ,407 91, Mississippi ,285,731 1,293,385 1,295,654 1,303,469 69,030 65,814 78,429 74, Missouri ,059,214 3,076,402 3,083,797 3,112, , , , , Montana , , , ,245 18,368 15,516 21,186 18, Nebraska ,010,223 1,016,726 1,019,112 1,026,131 28,038 28,268 31,769 31, Nevada ,458,009 1,496,135 1,464,510 1,499,411 72,036 62,701 76,933 66, New Hampshire , , , ,537 18,892 19,574 19,852 20, New Jersey ,514,399 4,441,929 4,567,931 4,530, , , , , New Mexico , , , ,138 53,839 37,903 63,038 48, New York ,690,531 9,628,113 9,794,282 9,804, , , , , New York City ,211,570 4,189,574 4,221,614 4,231, , , , , North Carolina ,940,145 5,020,059 4,953,758 5,043, , , , , North Dakota , , , ,033 8,908 9,004 11,630 11, Ohio ,776,692 5,813,804 5,836,256 5,870, , , , , Cleveland-Elyria ,029,479 1,026,415 1,044,736 1,050,490 56,679 50,457 63,463 64, Oklahoma ,824,733 1,858,927 1,845,536 1,880,166 80,509 72,226 86,017 74, Oregon ,089,234 2,102,938 2,117,704 2,117,464 77,134 73,290 90,393 84, Pennsylvania ,438,733 6,347,859 6,475,415 6,448, , , , , Rhode Island , , , ,041 22,013 21,472 23,617 20, South Carolina ,313,013 2,301,963 2,342,219 2,334,600 87,929 65, ,015 83, South Dakota , , , ,374 14,297 13,072 14,936 13, Tennessee ,183,073 3,247,144 3,223,651 3,298, ,832 96, , , Texas ,498,726 13,834,278 13,543,364 13,845, , , , , Utah ,554,142 1,591,726 1,569,111 1,601,141 49,692 44,512 56,908 55, Vermont , , , ,058 9,669 9,204 10,786 10, Virginia ,319,367 4,372,392 4,344,810 4,409, , , , , Washington ,702,170 3,752,549 3,736,856 3,775, , , , , Seattle-Bellevue-Everett ,648,432 1,677,197 1,651,785 1,679,532 57,825 57,025 65,770 63, West Virginia , , , ,285 35,645 40,161 41,176 42, Wisconsin ,139,778 3,169,716 3,200,865 3,228,044 95,809 82, , , Wyoming , , , ,364 11,502 10,384 12,007 11, Puerto Rico ,099,152 1,094,762 1,083,576 1,106, , , , , Metropolitan division. 2 Metropolitan statistical area. p Preliminary NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Area definitions are based on Office of Management and Budget Bulletin No , dated July 15, 2015, and are available on the BLS website at Estimates for the latest month are subject to revision the following month.

11 ESTABLISHMENT DATA SEASONALLY ADJUSTED Table 3. Employees on nonfarm payrolls by state and selected industry sector, seasonally adjusted [In thousands] 2017 Total 1 Construction Manufacturing p 2017 p 2017 p Alabama , , , , Alaska Arizona , , , , Arkansas , , , , California , , , , , , , ,317.6 Colorado , , , , Connecticut , , , , Delaware District of Columbia Florida , , , , Georgia , , , , Hawaii Idaho Illinois , , , , Indiana , , , , Iowa , , , , Kansas , , , , Kentucky , , , , Louisiana , , , , Maine Maryland , , , , Massachusetts , , , , Michigan , , , , Minnesota , , , , Mississippi , , , , Missouri , , , , Montana Nebraska , , , , Nevada , , , , New Hampshire New Jersey , , , , New Mexico New York , , , , North Carolina , , , , North Dakota Ohio , , , , Oklahoma , , , , Oregon , , , , Pennsylvania , , , , Rhode Island South Carolina , , , , South Dakota Tennessee , , , , Texas , , , , Utah , , , , Vermont Virginia , , , , Washington , , , , West Virginia Wisconsin , , , , Wyoming Puerto Rico Virgin Islands Includes mining and logging, information, and other services (except public administration), not shown separately. 2 Mining and logging is combined with construction. 3 Missing series (denoted by - ) are not published seasonally adjusted because the seasonal component, which is small relative to the trend-cycle and irregular components, cannot be separated with sufficient precision. p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2017 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available.

12 ESTABLISHMENT DATA SEASONALLY ADJUSTED Table 3. Employees on nonfarm payrolls by state and selected industry sector, seasonally adjusted-continued [In thousands] Trade, transportation, and utilities Financial activities Professional and business services 2017 p 2017 p 2017 Alabama Alaska Arizona Arkansas California , , , , , , , ,616.1 Colorado Connecticut Delaware District of Columbia Florida , , , , , , , ,348.5 Georgia Hawaii Idaho Illinois , , , , Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York , , , , , , , ,335.1 North Carolina North Dakota Ohio , , , , Oklahoma Oregon Pennsylvania , , , , Rhode Island South Carolina South Dakota Tennessee Texas , , , , , , , ,746.6 Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Puerto Rico Virgin Islands p 1 Missing series (denoted by - ) are not published seasonally adjusted because the seasonal component, which is small relative to the trend-cycle and irregular components, cannot be separated with sufficient precision. p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2017 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available.

13 ESTABLISHMENT DATA SEASONALLY ADJUSTED Table 3. Employees on nonfarm payrolls by state and selected industry sector, seasonally adjusted-continued [In thousands] 2017 Education and health services Leisure and hospitality Government p 2017 p 2017 Alabama Alaska Arizona Arkansas California , , , , , , , , , , , ,575.2 Colorado Connecticut Delaware District of Columbia Florida , , , , , , , , , , , ,104.7 Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York , , , , , , , ,449.0 North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania , , , , Rhode Island South Carolina South Dakota Tennessee Texas , , , , , , , , , , , ,947.1 Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Puerto Rico Virgin Islands p p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2017 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available.

14 ESTABLISHMENT DATA NOT SEASONALLY ADJUSTED Table 4. Employees on nonfarm payrolls by state and selected industry sector, not seasonally adjusted [In thousands] Total Mining and logging Construction p p p Alabama , , , , Alaska Arizona , , , , Arkansas , , , , California , , , , Colorado , , , , Connecticut , , , , Delaware District of Columbia Florida , , , , Georgia , , , , Hawaii Idaho Illinois , , , , Indiana , , , , Iowa , , , , Kansas , , , , Kentucky , , , , Louisiana , , , , Maine Maryland , , , , Massachusetts , , , , Michigan , , , , Minnesota , , , , Mississippi , , , , Missouri , , , , Montana Nebraska , , , , Nevada , , , , New Hampshire New Jersey , , , , New Mexico New York , , , , North Carolina , , , , North Dakota Ohio , , , , Oklahoma , , , , Oregon , , , , Pennsylvania , , , , Rhode Island South Carolina , , , , South Dakota Tennessee , , , , Texas , , , , Utah , , , , Vermont Virginia , , , , Washington , , , , West Virginia Wisconsin , , , , Wyoming Puerto Rico Virgin Islands Mining and logging is combined with construction. p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2017 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available.

15 ESTABLISHMENT DATA NOT SEASONALLY ADJUSTED Table 4. Employees on nonfarm payrolls by state and selected industry sector, not seasonally adjusted- Continued [In thousands] Manufacturing Trade, transportation, and utilities Information p p p Alabama Alaska Arizona Arkansas California , , , , , , , , Colorado Connecticut Delaware District of Columbia Florida , , , , Georgia Hawaii Idaho Illinois , , , , Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York , , , , North Carolina North Dakota Ohio , , , , Oklahoma Oregon Pennsylvania , , , , Rhode Island South Carolina South Dakota Tennessee Texas , , , , Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Puerto Rico Virgin Islands p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2017 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available.

16 ESTABLISHMENT DATA NOT SEASONALLY ADJUSTED Table 4. Employees on nonfarm payrolls by state and selected industry sector, not seasonally adjusted- Continued [In thousands] Financial activities Professional and business services Education and health services p p p Alabama Alaska Arizona Arkansas California , , , , , , , ,700.7 Colorado Connecticut Delaware District of Columbia Florida , , , , , , , ,287.4 Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York , , , , , , , ,028.4 North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania , , , ,254.8 Rhode Island South Carolina South Dakota Tennessee Texas , , , , , , , ,695.0 Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Puerto Rico Virgin Islands p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2017 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available.

17 ESTABLISHMENT DATA NOT SEASONALLY ADJUSTED Table 4. Employees on nonfarm payrolls by state and selected industry sector, not seasonally adjusted- Continued [In thousands] Leisure and hospitality Other services Government p p p Alabama Alaska Arizona Arkansas California , , , , , , , ,618.5 Colorado Connecticut Delaware District of Columbia Florida , , , , , , , ,029.8 Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York , , , , ,456.1 North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas , , , , , , , ,945.8 Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Puerto Rico Virgin Islands p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2017 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available.

18 ! Map 1. Unemployment rates by state, seasonally adjusted, (U.S. rate = 4.0 percent) WASH. MONT. N.D. MAINE ORE. IDAHO WYO. S.D. MINN. WIS. MICH. N.Y. VT. N.H.!! MASS. R.I. NEV. UTAH NEB. IOWA ILL. IND. OHIO PA. MD.!! CONN. N.J. DEL. CALIF. COLO. KAN. MO. KY. W.VA. VA. D.C. ARIZ. N.M. OKLA. ARK. TENN. S.C. N.C. MISS. ALA. GA. TEXAS LA. FLA. 6.0% or higher ALASKA HAWAII 5.0% to 5.9% 4.0% to 4.9% 3.0% to 3.9% 2.9% or lower

19 Map 2. Percentage change in nonfarm employment by state, seasonally adjusted, WASH. ORE. IDAHO MONT. WYO. N.D. S.D. MINN. WIS. MICH. N.Y. MAINE VT. N.H. MASS. R.I. CALIF. NEV. UTAH COLO. NEB. KAN. IOWA MO. ILL. OHIO IND. KY. PA. W.VA. VA. MD. CONN. N.J. DEL. ARIZ. N.M. OKLA. ARK. TENN. S.C. N.C. D.C. MISS. ALA. GA. TEXAS LA. FLA. 3.1% or higer 2.1% to 3.0% 1.1% to 2.0% HAWAII 0.1% to 1.0% ALASKA 0.0% or lower