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Economic News Release
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QCEW QCEW Program Links

County Employment and Wages News Release

For release 10:00 a.m. (ET), Wednesday, May 19, 2021		USDL-21-0906

Technical Information:	(202) 691-6567  *  QCEWInfo@bls.gov  	*  www.bls.gov/cew
Media Contact:		(202) 691-5902  *  PressOffice@bls.gov

COUNTY EMPLOYMENT AND WAGES – FOURTH QUARTER 2020

From December 2019 to December 2020, employment decreased in 352 of the 357 largest U.S. 
counties, the U.S. Bureau of Labor Statistics reported today. In December 2020, national employment 
(as measured by the QCEW program) decreased to 140.9 million, a 6.1-percent decrease over the year. 
Maui + Kalawao, HI, had the largest over-the-year decrease in employment with a loss of 22.8 percent. 
Employment data in this release are presented for December 2020, and average weekly wage data are 
presented for fourth quarter 2020. Employment was impacted by the COVID-19 pandemic and efforts to 
contain it.

Among the 357 largest counties, 356 had over-the-year increases in average weekly wages. In the 
fourth quarter of 2020, average weekly wages for the nation increased to $1,339, a 13.0-percent increase 
over the year. San Francisco, CA, had the largest fourth quarter over-the-year wage gain at 44.3 percent. 
(See table 1.) Nationally, across most industries, increases in average weekly wages reflect substantial 
employment declines combined with wage increases. The lowest paying industry, leisure and hospitality, 
had the largest employment loss, which results in higher average weekly wages for the industry and the 
nation.

Large County Employment in December 2020

Maui + Kalawao, HI, had the largest over-the-year percentage decrease in employment (-22.8 percent). 
Within Maui + Kalawao, the largest employment decrease occurred in leisure and hospitality, which lost 
10,959 jobs over the year (-42.1 percent).

Utah, UT, experienced the largest over-the-year percentage increase in employment with a gain of 3.8 
percent. Within Utah, professional and business services had the largest employment increase with a 
gain of 3,769 jobs (+9.8 percent).

Large County Average Weekly Wage in Fourth Quarter 2020

San Francisco, CA, had the largest over-the-year percentage increase in average weekly wages (+44.3 
percent). Within San Francisco, an average weekly wage gain of $5,478 (+569.4 percent) in leisure and 
hospitality made the largest contribution to the county’s increase in average weekly wages.

Ector, TX, had the only over-the-year percentage decrease in average weekly wages with a loss of 7.5 
percent. Within Ector, natural resources and mining had the largest impact, with an average weekly 
wage decrease of $141 (-7.3 percent) over the year.

Ten Largest Counties

All of the 10 largest counties had over-the-year percentage decreases in employment. In December 
2020, New York, NY, had the largest over-the-year employment percentage loss (-15.6 percent). Within 
New York, leisure and hospitality had the largest employment decrease with a loss of 172,534 jobs 
(-54.4 percent). (See table 2.)

All of the 10 largest counties had over-the-year percentage increases in average weekly wages. In fourth 
quarter 2020, New York, NY, experienced the largest over-the-year percentage gain in average weekly 
wages (+20.9 percent). Within New York, professional and business services had the largest impact, 
with an average weekly wage increase of $619 (+21.0 percent) over the year.

For More Information

The tables included in this release contain data for the nation and for the 357 U.S. counties with annual 
average employment levels of 75,000 or more in 2019. December 2020 employment and fourth quarter 
2020 average weekly wages for all states are provided in table 3 of this release.

QCEW response rate tables are available at www.bls.gov/cew/response-rates/.

The most current news release on quarterly measures of gross job flows is available from QCEW 
Business Employment Dynamics at www.bls.gov/news.release/pdf/cewbd.pdf.

Several BLS regional offices issue QCEW news releases targeted to local data users. Links to these 
releases are available at www.bls.gov/cew/regional-resources.htm.

QCEW data are available in the Census Business Builder suite of web tools assisting business owners 
and regional analysts in data-driven decision making at www.census.gov/data/data-tools/cbb.html. 

The QCEW news release schedule is available at www.bls.gov/cew/release-calendar.htm.

____________
The County Employment and Wages full data update for fourth quarter 2020 is scheduled to be 
released on Wednesday, June 2, 2021, at 10:00 a.m. (ET). 

The County Employment and Wages news release for first quarter 2021 is scheduled to be 
released on Wednesday, August 18, 2021, at 10:00 a.m. (ET). 



__________________________________________________________________________________________________________

			QCEW Imputation Issue Caused by Pandemic-Related Challenges

	In the spring of 2020, BLS modified its imputation process for QCEW to be more responsive to
	current economic conditions. While continuing work to improve this process, BLS made an
	unintended data processing error. This error affected data for the second, third, and fourth
	quarters of 2020. BLS has analyzed this issue and has determined that the impact on QCEW
	employment was negligible at the statewide level. In smaller areas and industries, revisions may
	be larger than usual. Wage data were not affected. Following the usual QCEW practice, these data
	will be revised and corrected with the full data update on September 1, 2021.

	For more information on QCEW imputation methodology, see 
	www.bls.gov/cew/additional-resources/imputation-methodology.htm.
__________________________________________________________________________________________________________




Technical Note

These data are the product of a federal-state cooperative program, the Quarterly Census of 
Employment and Wages 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 summaries are 
a result 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. 
QCEW data in this release are based on the 2017 North American Industry Classification System 
(NAICS). Data for 2020 are preliminary and subject to revision.

For purposes of this release, large counties are defined as having employment levels of 75,000 or 
greater. In addition, data for San Juan, PR, are provided, but not used in calculating U.S. averages, 
rankings, or in the analysis in the text. Each year, these large counties are selected on the basis of 
the preliminary annual average of employment for the previous year. The 358 counties presented in 
this release were derived using 2019 preliminary annual averages of employment. For 2020 data, 
three counties have been added to the publication tables: Baldwin, AL; Iredell, NC; and Gregg, 
TX. One county has been dropped from the publication tables: Bay, FL. These counties will be 
included or excluded, respectively, in all 2020 quarterly releases. The counties in table 2 are 
selected and sorted each year based on the annual average employment from the preceding year.
 
The preliminary QCEW data presented in this release may differ from data released by the 
individual states. These potential differences result from the states' continuing receipt of UI data 
over time and ongoing review and editing. The individual states determine their data release 
timetables.

Differences between QCEW, BED, and CES employment measures

The Bureau publishes three different establishment-based employment measures for any given 
quarter: QCEW, Business Employment Dynamics (BED), and Current Employment Statistics 
(CES). Each of these measures makes use of the quarterly UI employment reports in producing 
data; however, each measure has a somewhat different universe coverage, estimation procedure, 
and publication product. 

Differences in coverage and estimation methods can result in somewhat different measures of 
employment change over time. It is important to understand program differences and the intended 
uses of the program products. (See table.) Additional information on each program can be obtained 
from the program Web sites shown in the table.

Summary of Major Differences between QCEW, BED, and CES Employment Measures

----------------------------------------------------------------------------------
            |         QCEW        |         BED          |         CES
 -----------|---------------------|----------------------|------------------------
 Source     |--Count of UI admini-|--Count of longitudi- |--Sample survey:
            |  strative records   |  nally-linked UI ad- |  697,000 establish-
            |  submitted by 10.4  |  ministrative records|  ments
            |  million establish- |  submitted by 8.3    |
            |  ments in first     |  million private-sec-|
            |  quarter of 2020    |  tor employers       |
 -----------|---------------------|----------------------|------------------------
 Coverage   |--UI and UCFE cover- |--UI coverage, exclud-|--Nonfarm wage and sal-
            |  age, including all |  ing government, pri-|  ary jobs:
            |  employers subject  |  vate households, and|  -UI coverage, exclud-
            |  to state and fed-  |  establishments with |  ing agriculture, pri-
            |  eral UI laws       |  zero employment     |  vate households, and
            |                     |                      |  self-employed workers
            |                     |                      |  -Other employment,
            |                     |                      |  including railroads, 
            |                     |                      |  religious organiza-
            |                     |                      |  tions, and other non-
            |                     |                      |  UI-covered jobs
 -----------|---------------------|----------------------|------------------------
 Publication|--Quarterly          |--Quarterly           |--Monthly 
 frequency  |  -Within 5 months   |  -7 months after the |  -Usually the 3rd 
            |   after the end of  |   end of each quarter|  Friday after the end
            |   each quarter      |                      |  of the week including
            |                     |                      |  the 12th of the month
 -----------|---------------------|----------------------|------------------------
 Use of UI  |--Directly summarizes|--Links each new UI   |--Uses UI file as a sa-
 file       |  and publishes each |  quarter to longitu- |  mpling frame and to 
            |  new quarter of UI  |  dinal database and  |  annually realign sam-
            |  data               |  directly summarizes |  plebased estimates to
            |                     |  gross job gains and |  population counts 
            |                     |  losses              |  (benchmarking)
 -----------|---------------------|----------------------|------------------------
 Principal  |--Provides a quarter-|--Provides quarterly  |--Provides current mon-
 products   |  ly and annual uni- |  employer dynamics   |  thly estimates of emp-
            |  verse count of es- |  data on establish-  |  loyment, hours, and 
            |  tablishments, em-  |  ment openings, clos-|  earnings at the MSA,
            |  ployment, and wages|  ings, expansions,   |  state, and national
            |  at the county, MSA,|  and contractions at |  level by industry
            |  state, and national|  the national level  |
            |  levels by detailed |  by NAICS supersec-  |
            |  industry           |  tors and by size of |
            |                     |  firm, and at the    |
            |                     |  state private-sector|
            |                     |  total level         |
            |                     |--Future expansions   |
            |                     |  will include data   |
            |                     |  with greater indus- |
            |                     |  try detail and data |
            |                     |  at the county and   |
            |                     |  MSA level           |
 -----------|---------------------|----------------------|------------------------
 Principal  |--Detailed locality  |--Business cycle      |--Principal federal
 uses       |  data               |  analysis            |  economic indicator 
            |                     |                      |  (PFEI)
            |--Periodic universe  |--Analysis of employ- |--Official time series 
            |  counts for bench-  |  er dynamics under-  |  for employment change
            |  marking sample     |  lying economic ex-  |  measures
            |  survey estimates   |  pansions and con-   |--Input into other ma-
            |--Sample frame for   |  tractions           |  jor economic indi-
            |  BLS establishment  |--Analysis of employ- |  cators
            |  surveys            |  ment expansion and  |
            |                     |  contraction by size |
            |                     |  of firm             |
            |                     |                      |
 -----------|---------------------|----------------------|------------------------
 Program    |--www.bls.gov/cew    |--www.bls.gov/bdm     |--www.bls.gov/ces
 Web sites  |                     |                      |
 ---------------------------------------------------------------------------------

Coverage

Employment and wage data for workers covered by state UI laws are compiled from quarterly 
contribution reports submitted to the SWAs by employers. For federal civilian workers covered by 
the Unemployment Compensation for Federal Employees (UCFE) program, employment and 
wage data are compiled from quarterly reports submitted by four major federal payroll processing 
centers on behalf of all federal agencies, with the exception of a few agencies which still report 
directly to the individual SWA. 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. QCEW employment and wage data are derived from microdata summaries of 10.2 
million employer reports of employment and wages submitted by states to the BLS in 2019. These 
reports are based on place of employment rather than place of residence.

UI and UCFE coverage is broad and has been basically comparable from state to state since 1978, 
when the 1976 amendments to the Federal Unemployment Tax Act became effective, expanding 
coverage to include most state and local government employees. In 2019, UI and UCFE programs 
covered workers in 148.1 million jobs. The estimated 142.5 million workers in these jobs (after 
adjustment for multiple jobholders) represented 97.1 percent of civilian wage and salary 
employment. Covered workers received $8.769 trillion in pay, representing 94.2 percent of the 
wage and salary component of personal income and 40.9 percent of the gross domestic product.

Major exclusions from UI coverage include self-employed workers, 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.

State and federal UI laws change periodically. These changes may have an impact on the 
employment and wages reported by employers covered under the UI program. Coverage changes 
may affect the over-the-year comparisons presented in this news release.

Concepts and methodology

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 vacations and part-time workers also 
are included.

Average weekly wage values are calculated by dividing quarterly total wages by the average of the 
three monthly employment levels (all employees, as described above) and dividing the result by 
13, for the 13 weeks in the quarter. These calculations are made using unrounded employment and 
wage values. The average wage values that can be calculated using rounded data from the BLS 
database may differ from the averages reported. Included in the quarterly wage data are non-wage 
cash payments such as 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. Over-the-year comparisons of average weekly wages may 
reflect fluctuations in average monthly employment and/or total quarterly wages between the 
current quarter and prior year levels.

Average weekly wages are 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 and the incidence of pay periods 
within a quarter. For instance, the average weekly wage of the workforce could increase 
significantly when there is a large decline in the number of employees that had been receiving 
below-average wages. Wages may include payments to workers not present in the employment 
counts because they did not work during the pay period including the 12th of the month. When 
comparing average weekly wage levels between industries, states, or quarters, these factors should 
be taken into consideration.

Wages measured by QCEW may be subject to periodic and sometimes large fluctuations. This 
variability may be due to calendar effects resulting from some quarters having more pay dates than 
others. The effect is most visible in counties with a dominant employer. In particular, this effect 
has been observed in counties where government employers represent a large fraction of overall 
employment. Similar calendar effects can result from private sector pay practices. However, these 
effects are typically less pronounced for two reasons: employment is less concentrated in a single 
private employer, and private employers use a variety of pay period types (weekly, biweekly, 
semimonthly, monthly).

For example, the effect on over-the-year pay comparisons can be pronounced in federal 
government due to the uniform nature of federal payroll processing. Most federal employees are 
paid on a biweekly pay schedule. As a result, in some quarters federal wages include six pay dates, 
while in other quarters there are seven pay dates. Over-the-year comparisons of average weekly 
wages may also reflect this calendar effect. Growth in average weekly wages may be attributed, in 
part, to a comparison of quarterly wages for the current year, which include seven pay dates, with 
year-ago wages that reflect only six pay dates. An opposite effect will occur when wages in the 
current quarter reflecting six pay dates are compared with year-ago wages for a quarter including 
seven pay dates.

In order to ensure the highest possible quality of data, states verify with employers and update, if 
necessary, the industry, location, and ownership classification of all establishments on a 3-year 
cycle. Changes in establishment classification codes resulting from this 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.

QCEW data are not designed as a time series. QCEW data are simply the sums of individual 
establishment records and reflect 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 
that reflect economic events or administrative changes. For example, economic change would 
come from a firm relocating into the county; administrative change would come from a company 
correcting its county designation.

QCEW imputes employment and wages for nonrespondents. Records are imputed for two quarters 
of nonresponse. After two quarters of nonresponse, BLS drops the establishment from the 
universe. QCEW state staff attempt to contact large missing employers in the first quarter of 
nonresponse. Effective with the release of totals for the second quarter of 2020, imputation is based 
on the current trend of reported employment and wages. Nonrespondents are not included in totals 
if unemployment claims indicate that the worksite is not in operation. Imputation methodology is 
described in more detail at www.bls.gov/cew/additional-resources/imputation-methodology.htm.

The over-the-year changes of employment and wages presented in this release have been adjusted 
to account for most of the administrative corrections made to the underlying establishment reports. 
This is done by modifying the prior-year levels used to calculate the over-the-year changes. 
Percent changes are calculated using an adjusted version of the final 2019 quarterly data as the 
base data. The adjusted prior-year levels used to calculate the over-the-year percent change in 
employment and wages are not published. These adjusted prior-year levels do not match the 
unadjusted data maintained on the BLS Web site. Over-the-year change calculations based on data 
from the Web site, or from data published in prior BLS news releases, may differ substantially 
from the over-the-year changes presented in this news release.

The adjusted data used to calculate the over-the-year change measures presented in this release 
eliminate the effect of most of the administrative changes (those occurring when employers update 
the industry, location, and ownership information of their establishments). The most common 
adjustments for administrative change are the result of updated information about the county 
location of individual establishments. Included in these adjustments are administrative changes 
involving the classification of establishments that were previously reported in the unknown or 
statewide county or unknown industry categories. Adjusted data account for improvements in 
reporting employment and wages for individual and multi-unit establishments. To accomplish this, 
adjustments were implemented to account for: administrative changes caused by multi-unit 
employers who start reporting for each individual establishment rather than as a single entity (first 
quarter of 2008); selected large administrative changes in employment and wages (second quarter 
of 2011); and state verified improvements in reporting of employment and wages (third quarter of 
2014). These adjustments allow QCEW to include county employment and wage growth rates in 
this news release that would otherwise not meet publication standards.

The adjusted data used to calculate the over-the-year change measures presented in any County 
Employment and Wages news release are valid for comparisons between the starting and ending 
points (a 12-month period) used in that particular release. Comparisons may not be valid for any 
time period other than the one featured in a release even if the changes were calculated using 
adjusted data.

County definitions are assigned according to Federal Information Processing Standards 
Publications (FIPS PUBS) as issued by the National Institute of Standards and Technology, after 
approval by the Secretary of Commerce pursuant to Section 5131 of the Information Technology 
Management Reform Act of 1996 and the Computer Security Act of 1987, Public Law 104-106. 
Areas shown as counties include those designated as independent cities in some jurisdictions and, 
in Alaska, those designated as census areas where counties have not been created. County data also 
are presented for the New England states for comparative purposes even though townships are the 
more common designation used in New England (and New Jersey). The regions referred to in this 
release are defined as census regions.

Additional statistics and other information

Employment and Wages Annual Averages Online features comprehensive information by detailed 
industry on establishments, employment, and wages for the nation and all states. The 2019 edition 
of this publication, which was published in September 2020, contains selected data produced by 
Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the 
first quarter 2020 version of this news release. Tables and additional content from the 2019 edition 
of Employment and Wages Annual Averages Online are now available at 
www.bls.gov/cew/publications/employment-and-wages-annual-averages/2019/home.htm. The 
2020 edition of Employment and Wages Annual Averages Online will be available in September 
2021.

News releases on quarterly measures of gross job flows also are available from BED at 
www.bls.gov/bdm, (202) 691-6467, or data.bls.gov/cgi-bin/forms/bdm.

Information in this release will be made available to sensory impaired individuals upon request. 
Voice phone: (202) 691-5200; TDD message referral phone number: (800) 877-8339.




Table 1. Covered establishments, employment, and wages in the 358 largest counties,
fourth quarter 2020

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)         fourth quarter                Percent    Ranking            Percent   Ranking
                               2020         December    change,      by      Fourth   change,     by
                           (thousands)        2020      December   percent   quarter  fourth    percent
                                          (thousands)  2019-20(3)  change     2020    quarter   change
                                                                                     2019-20(3)

United States(4).........      10,675.8     140,881.3      -6.1        -    $1,339      13.0       -

Baldwin, AL..............           6.9          74.3      -1.7        23      876      11.9      199
Jefferson, AL............          19.9         344.5      -3.9        78    1,260      10.4      272
Madison, AL..............          10.5         208.0      -1.2        15    1,414      14.4       73
Mobile, AL...............          10.6         165.8      -5.0       127    1,119      12.1      189
Montgomery, AL...........           6.5         126.8      -3.6        68    1,106      11.4      227
Shelby, AL...............           6.1          83.0      -2.8        49    1,211      10.0      291
Tuscaloosa, AL...........           4.8          90.7      -8.2       269    1,036      10.4      272
Anchorage, AK............           8.4         134.6      -8.1       266    1,332      11.1      242
Maricopa, AZ.............         113.1       2,069.7      -3.0        56    1,273      14.8       59
Pima, AZ.................          19.5         367.5      -4.8       120    1,106      13.9       94

Benton, AR...............           7.2         124.3      -1.5        18    1,232      10.5      266
Pulaski, AR..............          14.6         242.4      -4.3       100    1,149      13.9       94
Washington, AR...........           6.5         109.3      -2.8        49    1,121      10.3      279
Alameda, CA..............          67.3         729.1      -8.9       296    1,831      16.5       29
Butte, CA................           8.4          75.1      -9.1       305    1,046      15.6       45
Contra Costa, CA.........          35.3         340.3      -9.1       305    1,609      13.9       94
Fresno, CA...............          38.9         376.4      -6.2       186    1,059      12.1      189
Kern, CA.................          22.5         319.2      -4.4       103    1,069      11.0      248
Los Angeles, CA..........         528.3       4,105.3     -10.5       337    1,612      12.4      176
Marin, CA................          12.9         104.3     -11.0       342    1,758      16.4       30

Merced, CA...............           7.1          75.7      -5.3       142      998      13.3      127
Monterey, CA.............          14.5         165.2      -8.8       294    1,100       9.9      295
Napa, CA.................           6.0          67.0     -12.7       347    1,331      11.8      205
Orange, CA...............         133.0       1,501.1      -9.6       320    1,513      16.6       27
Placer, CA...............          14.4         163.3      -6.4       198    1,382      17.3       19
Riverside, CA............          72.7         739.8      -5.8       167    1,051      14.5       69
Sacramento, CA...........          64.3         653.3      -5.3       142    1,407      10.5      266
San Bernardino, CA.......          66.6         780.3      -3.8        74    1,115      14.7       64
San Diego, CA............         120.1       1,369.8      -9.3       314    1,564      19.2        9
San Francisco, CA........          62.2         665.6     -14.0       349    3,646      44.3        1

San Joaquin, CA..........          19.2         256.5      -2.2        32    1,140      14.1       84
San Luis Obispo, CA......          10.9         107.3      -9.3       314    1,202      14.3       76
San Mateo, CA............          29.6         383.9      -9.2       310    3,435      31.0        2
Santa Barbara, CA........          16.2         197.9      -6.9       221    1,239      10.5      266
Santa Clara, CA..........          76.8       1,047.3      -8.2       269    3,690      30.6        3
Santa Cruz, CA...........           9.9          94.5      -8.2       269    1,241       0.2      356
Solano, CA...............          12.0         131.5      -8.5       284    1,347      12.7      161
Sonoma, CA...............          20.4         191.2     -10.1       330    1,378      15.0       52
Stanislaus, CA...........          16.7         183.4      -4.3       100    1,106      11.7      211
Tulare, CA...............          12.1         155.0      -4.2        97      963      13.2      130

Ventura, CA..............          28.7         309.0      -7.7       252    1,329      14.7       64
Yolo, CA.................           7.4         102.7      -4.7       114    1,376      11.2      233
Adams, CO................          12.2         226.6      -2.3        35    1,217       8.3      327
Arapahoe, CO.............          23.6         321.5      -4.6       107    1,530      13.2      130
Boulder, CO..............          16.7         178.9      -6.3       191    1,669      17.5       15
Denver, CO...............          36.6         485.1      -9.8       326    1,683      15.3       47
Douglas, CO..............          13.4         130.6      -2.4        37    1,512       0.8      355
El Paso, CO..............          21.8         276.4      -4.0        83    1,186      13.5      112
Jefferson, CO............          21.8         232.2      -5.3       142    1,376      12.8      153
Larimer, CO..............          13.3         156.3      -6.2       186    1,230      12.8      153

Weld, CO.................           8.2         104.8      -8.7       290    1,106       5.8      347
Fairfield, CT............          37.8         389.5      -7.6       247    2,031      15.7       42
Hartford, CT.............          30.0         485.3      -6.4       198    1,503       8.7      324
New Haven, CT............          25.8         356.0      -5.5       151    1,316      11.0      248
New London, CT...........           7.9         110.2      -9.8       326    1,264      14.9       54
New Castle, DE...........          21.6         279.9      -6.3       191    1,389      11.0      248
Sussex, DE...............           7.8          79.6      -2.8        49      974      11.6      214
Washington, DC...........          43.8         712.9      -8.9       296    2,293      15.2       50
Alachua, FL..............           7.6         130.4      -4.2        97    1,122      14.5       69
Brevard, FL..............          17.2         219.7      -2.9        54    1,159       9.9      295

Broward, FL..............          76.5         778.8      -7.6       247    1,247      13.6      110
Collier, FL..............          16.0         149.9      -5.7       161    1,209      17.5       15
Duval, FL................          32.0         524.3      -2.4        37    1,217      11.0      248
Escambia, FL.............           8.8         136.0      -3.4        62    1,027      12.2      187
Hillsborough, FL.........          48.6         701.4      -4.1        88    1,267      12.9      147
Lake, FL.................           9.3         102.8      -2.5        41      892      12.3      182
Lee, FL..................          24.9         265.6      -4.6       107    1,038      11.0      248
Leon, FL.................           9.3         147.5      -4.4       103    1,061      12.8      153
Manatee, FL..............          12.4         129.0      -4.8       120    1,039      16.7       26
Marion, FL...............           9.1         107.5      -3.1        59      918      14.3       76

Miami-Dade, FL...........         110.4       1,089.3      -8.3       275    1,295      14.0       89
Okaloosa, FL.............           6.9          85.4      -0.5         7    1,087      13.2      130
Orange, FL...............          48.5         778.4     -12.2       346    1,214      16.4       30
Osceola, FL..............           8.3          92.4      -9.7       325      885      11.5      219
Palm Beach, FL...........          62.7         590.5      -6.6       207    1,321      14.5       69
Pasco, FL................          12.3         123.2      -2.0        25      935      12.9      147
Pinellas, FL.............          36.3         429.6      -3.8        74    1,187      11.0      248
Polk, FL.................          15.2         238.1      -0.4         6      974      12.5      174
St. Johns, FL............           8.7          81.1      -1.0        13    1,006      11.8      205
St. Lucie, FL............           7.4          81.2      -1.5        18      929       9.2      315

Sarasota, FL.............          17.6         167.3      -4.7       114    1,085      11.7      211
Seminole, FL.............          16.5         196.7      -4.1        88    1,113      11.5      219
Volusia, FL..............          15.6         169.0      -4.9       124      928       9.4      309
Bibb, GA.................           4.6          80.2      -4.8       120      980      10.5      266
Chatham, GA..............           9.0         157.7      -5.0       127    1,043       9.0      319
Clayton, GA..............           4.5         113.4     -10.1       330    1,169       6.9      341
Cobb, GA.................          24.6         365.4      -4.0        83    1,357      13.3      127
DeKalb, GA...............          20.0         291.9      -5.2       138    1,285      10.0      291
Forsyth, GA..............           6.6          76.2      -2.9        54    1,135       8.3      327
Fulton, GA...............          49.7         858.5      -6.7       212    1,707      12.7      161

Gwinnett, GA.............          28.4         352.8      -4.7       114    1,204      10.2      282
Hall, GA.................           5.0          90.2      -2.0        25    1,157      12.5      174
Muscogee, GA.............           4.8          91.9      -4.7       114      967      10.9      255
Richmond, GA.............           4.8         102.2      -2.8        49    1,047      11.1      242
Honolulu, HI.............          28.1         404.4     -15.1       351    1,282      16.0       38
Maui + Kalawao, HI.......           7.0          63.5     -22.8       357    1,047      12.7      161
Ada, ID..................          18.7         255.3      -0.6         9    1,263      14.4       73
Champaign, IL............           4.2          88.4      -5.0       127    1,086      10.7      261
Cook, IL.................         140.7       2,377.0     -10.1       330    1,571      14.6       66
DuPage, IL...............          34.8         572.7      -7.8       256    1,456      11.9      199

Kane, IL.................          12.7         194.0      -9.1       305    1,166      13.3      127
Lake, IL.................          20.4         317.0      -7.3       241    1,637      12.7      161
McHenry, IL..............           7.9          90.4      -7.1       230    1,024      10.9      255
McLean, IL...............           3.3          77.5      -6.0       174    1,175      18.4       11
Madison, IL..............           5.4         101.0      -3.9        78      990       9.8      299
Peoria, IL...............           4.2          97.3      -6.8       218    1,333      14.5       69
St. Clair, IL............           5.0          86.3      -7.6       247    1,032      14.8       59
Sangamon, IL.............           4.8         121.6      -5.9       170    1,204       7.5      333
Will, IL.................          15.4         241.8      -5.9       170    1,097      12.9      147
Winnebago, IL............           5.9         115.2      -9.0       301    1,053      10.0      291

Allen, IN................           9.3         186.2      -4.1        88    1,048      10.3      279
Elkhart, IN..............           4.8         132.7       0.2         4    1,138      18.2       14
Hamilton, IN.............          10.2         143.1      -1.5        18    1,234      12.7      161
Lake, IN.................          10.6         180.8      -5.3       142    1,065       9.0      319
Marion, IN...............          25.2         575.5      -5.7       161    1,299      13.0      140
St. Joseph, IN...........           5.9         117.3      -6.7       212    1,051      13.1      138
Tippecanoe, IN...........           3.7          83.1      -5.1       134    1,068       8.1      330
Vanderburgh, IN..........           4.9         105.5      -4.1        88    1,041      13.9       94
Johnson, IA..............           4.5          79.3      -5.6       154    1,151      12.2      187
Linn, IA.................           7.2         124.3      -6.3       191    1,216      12.6      170

Polk, IA.................          18.5         293.0      -4.1        88    1,313      11.9      199
Scott, IA................           5.8          85.3      -6.1       181    1,068      11.3      230
Johnson, KS..............          24.6         345.9      -4.2        97    1,313      13.0      140
Sedgwick, KS.............          12.8         242.0      -7.6       247    1,098      13.7      105
Shawnee, KS..............           5.1          94.0      -2.1        28    1,039      13.7      105
Wyandotte, KS............           3.5          88.2      -4.5       106    1,167       2.8      353
Boone, KY................           4.9          98.3      -2.1        28    1,066      10.9      255
Fayette, KY..............          12.1         184.9      -7.4       243    1,163      13.7      105
Jefferson, KY............          27.6         455.1      -5.4       148    1,256       9.1      317
Caddo, LA................           7.5         104.9      -5.8       167    1,032       9.8      299

Calcasieu, LA............           5.7          83.0     -16.4       353    1,186      12.1      189
East Baton Rouge, LA.....          17.3         251.5      -5.7       161    1,187       9.2      315
Jefferson, LA............          14.9         180.6      -6.3       191    1,140       9.1      317
Lafayette, LA............          10.6         125.3      -5.7       161    1,046       6.3      344
Orleans, LA..............          14.6         169.4     -16.7       354    1,264      16.9       22
St. Tammany, LA..........           9.3          89.2      -2.4        37    1,046       8.7      324
Cumberland, ME...........          14.6         177.9      -6.4       198    1,275      17.1       20
Anne Arundel, MD.........          15.5         258.0      -8.0       262    1,400      13.5      112
Baltimore, MD............          21.1         356.3      -8.0       262    1,360      14.8       59
Frederick, MD............           6.6          98.9      -6.7       212    1,207      13.8      100

Harford, MD..............           5.9          92.1      -6.1       181    1,235      14.6       66
Howard, MD...............          10.1         160.5      -9.2       310    1,671      16.9       22
Montgomery, MD...........          33.0         444.1      -7.0       228    1,758      14.9       54
Prince George's, MD......          16.3         298.1      -8.9       296    1,358      12.7      161
Baltimore City, MD.......          13.8         327.2      -6.8       218    1,593      11.2      233
Barnstable, MA...........           9.6          84.0      -8.1       266    1,189      14.0       89
Bristol, MA..............          17.9         214.9      -7.5       244    1,211      14.1       84
Essex, MA................          28.1         302.2      -8.2       269    1,400      14.4       73
Hampden, MA..............          19.1         198.3      -7.9       257    1,141      13.9       94
Middlesex, MA............          57.8         879.0      -7.7       252    2,043      18.4       11

Norfolk, MA..............          25.8         323.2      -9.5       318    1,629      16.2       36
Plymouth, MA.............          16.6         182.5      -8.0       262    1,269      15.6       45
Suffolk, MA..............          32.4         639.4     -10.4       336    2,558      19.9        7
Worcester, MA............          26.9         332.8      -7.3       241    1,296      14.0       89
Genesee, MI..............           7.2         124.1      -9.4       317    1,073       9.4      309
Ingham, MI...............           6.5         139.7      -9.8       326    1,252      10.6      264
Kalamazoo, MI............           5.8         112.7      -8.6       288    1,190      13.8      100
Kent, MI.................          16.2         371.1     -10.7       339    1,194      16.4       30
Macomb, MI...............          18.9         306.0      -9.0       301    1,308      14.1       84
Oakland, MI..............          42.5         682.0      -9.6       320    1,473      12.6      170

Ottawa, MI...............           6.3         120.0      -6.8       218    1,133      13.0      140
Saginaw, MI..............           4.0          76.0     -10.8       340    1,076      13.9       94
Washtenaw, MI............           9.2         203.3      -9.5       318    1,365      13.7      105
Wayne, MI................          34.9         676.4      -9.2       310    1,391       9.9      295
Anoka, MN................           8.0         119.4      -7.9       257    1,198      10.4      272
Dakota, MN...............          11.0         176.6      -8.2       269    1,291       9.6      304
Hennepin, MN.............          43.4         854.4      -9.6       320    1,618      13.4      120
Olmsted, MN..............           3.9          96.3      -5.7       161    1,458      10.7      261
Ramsey, MN...............          14.4         306.1      -8.9       296    1,412      12.4      176
St. Louis, MN............           5.5          87.7     -10.3       334    1,077       9.8      299

Stearns, MN..............           4.4          80.2      -7.5       244    1,087      14.3       76
Washington, MN...........           6.3          83.7      -7.2       235    1,116      13.4      120
Harrison, MS.............           4.7          83.2      -4.4       103      863       9.4      309
Hinds, MS................           5.7         115.2      -3.8        74    1,034      11.2      233
Boone, MO................           5.1          93.5      -2.7        46    1,070      10.5      266
Clay, MO.................           6.1         105.5      -1.2        15    1,108       6.0      345
Greene, MO...............           9.9         168.1      -2.5        41      989       7.9      332
Jackson, MO..............          23.8         356.9      -5.6       154    1,318      11.1      242
St. Charles, MO..........          10.3         153.1      -2.7        46    1,030      11.1      242
St. Louis, MO............          43.1         574.2      -7.1       230    1,391      13.5      112

St. Louis City, MO.......          15.9         212.7      -7.6       247    1,359      11.2      233
Yellowstone, MT..........           6.9          81.7      -1.3        17    1,108      10.2      282
Douglas, NE..............          19.1         332.8      -3.8        74    1,226      12.4      176
Lancaster, NE............          10.1         166.0      -4.6       107    1,056      11.5      219
Clark, NV................          56.7         899.1     -14.3       350    1,141      13.4      120
Washoe, NV...............          15.1         217.0      -6.0       174    1,218      14.8       59
Hillsborough, NH.........          12.6         196.4      -6.1       181    1,533      18.7       10
Merrimack, NH............           5.3          73.8      -6.1       181    1,278      15.9       40
Rockingham, NH...........          11.5         145.4      -5.2       138    1,346      15.3       47
Atlantic, NJ.............           6.8         112.0     -12.9       348    1,115      14.2       81

Bergen, NJ...............          34.4         411.2      -9.6       320    1,533      13.2      130
Burlington, NJ...........          11.5         194.7      -5.0       127    1,379      16.6       27
Camden, NJ...............          12.6         192.7      -7.2       235    1,317      13.5      112
Essex, NJ................          21.8         309.0     -11.8       345    1,598      14.1       84
Gloucester, NJ...........           6.7         112.3      -5.4       148    1,075      12.4      176
Hudson, NJ...............          16.6         253.0      -9.1       305    1,702      13.8      100
Mercer, NJ...............          11.7         253.1      -5.3       142    1,599       9.9      295
Middlesex, NJ............          23.3         414.2      -5.2       138    1,475      12.0      195
Monmouth, NJ.............          20.9         248.9      -7.2       235    1,338      16.0       38
Morris, NJ...............          17.6         277.2      -7.7       252    1,986      17.4       17

Ocean, NJ................          14.2         163.2      -4.9       124    1,058      12.6      170
Passaic, NJ..............          13.1         153.8     -10.2       333    1,243      14.2       81
Somerset, NJ.............          10.6         178.8      -7.1       230    1,857      14.1       84
Union, NJ................          15.3         215.7      -8.0       262    1,602      10.2      282
Bernalillo, NM...........          21.0         310.0      -8.5       284    1,129      15.0       52
Albany, NY...............          10.4         217.3      -7.9       257    1,359      12.7      161
Bronx, NY................          19.5         307.4      -6.9       221    1,288      11.3      230
Broome, NY...............           4.3          78.5      -8.5       284    1,071      15.8       41
Dutchess, NY.............           8.5         105.8      -8.5       284    1,242      12.8      153
Erie, NY.................          24.8         425.8     -10.9       341    1,188      14.0       89

Kings, NY................          67.1         760.2      -8.7       290    1,132      10.4      272
Monroe, NY...............          19.0         356.7      -9.6       320    1,186      13.2      130
Nassau, NY...............          54.7         584.6      -9.3       314    1,456      13.0      140
New York, NY.............         129.8       2,163.2     -15.6       352    3,036      20.9        6
Oneida, NY...............           5.3          97.3      -8.8       294    1,015      13.2      130
Onondaga, NY.............          12.7         230.0      -8.6       288    1,205      12.7      161
Orange, NY...............          10.9         139.0      -8.4       279    1,126      12.9      147
Queens, NY...............          54.5         651.3     -10.5       337    1,276       9.6      304
Richmond, NY.............          10.2         125.5      -6.4       198    1,221      11.5      219
Rockland, NY.............          11.3         122.9      -7.1       230    1,192      11.9      199

Saratoga, NY.............           6.1          83.9      -7.1       230    1,213      15.7       42
Suffolk, NY..............          54.1         624.6      -7.2       235    1,454      13.4      120
Westchester, NY..........          36.3         394.6     -10.3       334    1,681      10.2      282
Buncombe, NC.............          10.4         126.9      -6.7       212    1,024      11.3      230
Cabarrus, NC.............           5.3          77.7      -1.5        18      962      12.3      182
Catawba, NC..............           4.6          86.2      -2.8        49    1,008      14.2       81
Cumberland, NC...........           6.6         116.8      -5.1       134      970      12.0      195
Durham, NC...............           9.2         216.0      -2.5        41    1,602      11.6      214
Forsyth, NC..............           9.8         186.6      -4.0        83    1,131       8.1      330
Guilford, NC.............          15.2         279.3      -3.7        71    1,089       9.4      309

Iredell, NC..............           5.8          77.2      -0.6         9    1,140      16.3       34
Mecklenburg, NC..........          42.0         711.0      -2.7        46    1,453      10.2      282
New Hanover, NC..........           9.1         115.8      -3.5        65    1,133      21.4        5
Pitt, NC.................           4.0          75.6      -3.7        71    1,016      11.2      233
Wake, NC.................          39.4         567.4      -2.1        28    1,321      10.4      272
Cass, ND.................           7.7         116.8      -4.0        83    1,182      11.5      219
Butler, OH...............           8.2         153.0      -4.6       107    1,120      13.8      100
Cuyahoga, OH.............          36.9         686.7      -6.9       221    1,319      10.4      272
Delaware, OH.............           6.0          86.6      -4.1        88    1,235      12.3      182
Franklin, OH.............          35.1         741.0      -5.2       138    1,288      14.6       66

Greene, OH...............           3.8          75.2      -3.5        65    1,265       9.4      309
Hamilton, OH.............          25.0         491.7      -6.5       205    1,387      11.8      205
Lake, OH.................           6.4          90.5      -6.9       221    1,034      10.1      289
Lorain, OH...............           6.4          92.5      -6.0       174      993      11.6      214
Lucas, OH................          10.3         197.4      -6.7       212    1,117      10.6      264
Mahoning, OH.............           5.9          91.9      -6.6       207      906      10.9      255
Montgomery, OH...........          12.4         244.0      -5.6       154    1,112      12.8      153
Stark, OH................           8.7         151.4      -5.1       134      987      13.2      130
Summit, OH...............          14.8         254.1      -6.0       174    1,132      12.1      189
Warren, OH...............           5.5          93.5      -4.6       107    1,210      17.0       21

Cleveland, OK............           6.2          87.0       0.1         5      880       5.9      346
Oklahoma, OK.............          29.1         450.2      -4.3       100    1,160       9.5      307
Tulsa, OK................          23.1         348.7      -5.6       154    1,087       7.2      337
Clackamas, OR............          16.3         157.9      -8.4       279    1,260      13.4      120
Deschutes, OR............          10.1          81.4      -6.0       174    1,130      16.9       22
Jackson, OR..............           8.1          86.5      -6.3       191    1,009      12.7      161
Lane, OR.................          13.3         146.2      -8.4       279    1,054      14.8       59
Marion, OR...............          11.9         151.2      -5.6       154    1,100      11.8      205
Multnomah, OR............          38.3         471.4     -11.0       342    1,440      15.3       47
Washington, OR...........          21.2         285.1      -6.7       212    1,641      16.4       30

Allegheny, PA............          37.0         646.5      -8.3       275    1,393      11.2      233
Berks, PA................           9.0         165.0      -6.4       198    1,148      12.9      147
Bucks, PA................          20.7         250.0      -6.9       221    1,225      13.5      112
Butler, PA...............           5.2          82.6      -6.2       186    1,164       9.4      309
Chester, PA..............          16.1         240.1      -6.2       186    1,617      14.0       89
Cumberland, PA...........           6.8         132.2      -5.0       127    1,157      11.8      205
Dauphin, PA..............           7.7         176.3      -6.2       186    1,279      13.0      140
Delaware, PA.............          14.4         211.0      -8.9       296    1,358      14.9       54
Erie, PA.................           6.9         111.8      -9.0       301      970      12.9      147
Lackawanna, PA...........           5.6          90.5      -8.3       275      991      13.5      112

Lancaster, PA............          14.0         235.0      -6.0       174    1,115      16.9       22
Lehigh, PA...............           8.9         186.0      -6.1       181    1,299      13.4      120
Luzerne, PA..............           7.6         137.4      -7.7       252    1,007      12.8      153
Montgomery, PA...........          28.6         482.3      -6.6       207    1,627      17.4       17
Northampton, PA..........           6.9         114.3      -6.4       198    1,094      13.6      110
Philadelphia, PA.........          35.5         633.9     -11.5       344    1,543       9.8      299
Washington, PA...........           5.6          79.6      -9.9       329    1,220       7.1      339
Westmoreland, PA.........           9.3         124.6      -7.5       244    1,028      10.3      279
York, PA.................           9.3         172.0      -6.0       174    1,115      11.2      233
Kent, RI.................           5.7          71.1      -9.1       305    1,144      14.3       76

Providence, RI...........          19.3         267.4      -9.0       301    1,299      14.9       54
Charleston, SC...........          18.2         247.4      -5.6       154    1,179      11.9      199
Greenville, SC...........          16.5         273.2      -2.5        41    1,099      10.1      289
Horry, SC................          10.3         121.6      -6.4       198      808      11.9      199
Lexington, SC............           7.5         121.5      -4.1        88      987      12.3      182
Richland, SC.............          11.2         216.1      -3.6        68    1,078      11.5      219
Spartanburg, SC..........           7.0         147.5      -3.0        56    1,037      10.2      282
York, SC.................           7.1         100.8      -2.2        32    1,041      10.5      266
Minnehaha, SD............           8.1         126.9      -2.0        25    1,207      18.3       13
Davidson, TN.............          26.4         486.4      -6.6       207    1,421      13.4      120

Hamilton, TN.............          10.9         204.5      -3.6        68    1,189      12.8      153
Knox, TN.................          13.7         237.3      -3.0        56    1,145      11.7      211
Rutherford, TN...........           6.5         136.7       0.5         3    1,084       8.8      322
Shelby, TN...............          22.0         488.3      -4.1        88    1,341      15.7       42
Williamson, TN...........          10.5         140.6      -2.1        28    1,509       9.7      303
Bell, TX.................           6.0         121.0      -2.2        32    1,070       7.5      333
Bexar, TX................          44.1         847.0      -5.1       134    1,171      10.9      255
Brazoria, TX.............           6.4         110.6      -6.6       207    1,197       6.9      341
Brazos, TX...............           4.9         107.3      -3.5        65      932       9.6      304
Cameron, TX..............           6.7         140.5      -2.3        35      760       8.3      327

Collin, TX...............          29.8         439.5      -3.2        60    1,496      12.1      189
Dallas, TX...............          81.7       1,704.6      -3.4        62    1,548      10.7      261
Denton, TX...............          17.5         267.7      -1.5        18    1,146      11.4      227
Ector, TX................           4.3          66.2     -18.2       356    1,176      -7.5      357
El Paso, TX..............          15.9         302.3      -5.5       151      892      12.3      182
Fort Bend, TX............          15.8         197.2      -2.6        45    1,089       4.9      349
Galveston, TX............           6.5         106.2      -5.3       142    1,118       8.9      321
Gregg, TX................           4.3          70.4      -8.4       279      996       2.6      354
Harris, TX...............         121.5       2,220.9      -6.5       205    1,501       5.0      348
Hidalgo, TX..............          13.0         260.8      -4.0        83      776      10.2      282

Jefferson, TX............           5.9         112.7      -9.2       310    1,186       4.8      350
Lubbock, TX..............           8.0         141.4      -1.9        24      980       7.2      337
McLennan, TX.............           5.6         114.1      -0.6         9    1,052      10.0      291
Midland, TX..............           6.2          90.7     -16.8       355    1,594       3.4      351
Montgomery, TX...........          13.1         189.8      -4.7       114    1,229       7.5      333
Nueces, TX...............           8.4         151.4      -8.2       269    1,053       7.0      340
Potter, TX...............           4.0          75.8      -3.2        60    1,062       8.8      322
Smith, TX................           6.5         104.3      -2.4        37    1,029       7.5      333
Tarrant, TX..............          47.4         910.2      -3.9        78    1,262      10.8      260
Travis, TX...............          46.7         769.1      -3.4        62    1,632      15.2       50

Webb, TX.................           5.6          98.1      -6.9       221      829      10.4      272
Williamson, TX...........          13.0         186.1      -0.9        12    1,333       2.9      352
Davis, UT................           9.7         136.5       2.3         2    1,086      11.6      214
Salt Lake, UT............          53.6         726.7      -1.1        14    1,315      13.8      100
Utah, UT.................          19.6         266.1       3.8         1    1,153      16.3       34
Weber, UT................           6.8         111.0      -0.5         7      967      11.4      227
Chittenden, VT...........           7.4          95.2      -8.3       275    1,293      13.7      105
Arlington, VA............           9.4         171.6      -8.7       290    2,227      13.0      140
Chesterfield, VA.........           9.6         136.4      -3.9        78    1,093      13.0      140
Fairfax, VA..............          37.6         599.9      -4.6       107    1,992      14.9       54

Henrico, VA..............          12.0         183.6      -5.6       154    1,238      12.4      176
Loudoun, VA..............          13.3         166.8      -6.9       221    1,571      16.2       36
Prince William, VA.......           9.8         128.3      -4.8       120    1,161      13.2      130
Alexandria City, VA......           6.3          84.1      -7.2       235    1,832      11.2      233
Chesapeake City, VA......           6.4         100.9      -3.9        78    1,018      13.5      112
Newport News City, VA....           4.1         101.4      -4.1        88    1,228      11.1      242
Norfolk City, VA.........           6.2         133.4      -7.0       228    1,303      11.0      248
Richmond City, VA........           8.2         146.5      -8.1       266    1,438      13.1      138
Virginia Beach City, VA..          12.7         169.7      -5.4       148    1,030      12.8      153
Benton, WA...............           6.3          86.2      -5.9       170    1,259      11.8      205

Clark, WA................          16.4         156.4      -5.9       170    1,276      13.5      112
King, WA.................          93.0       1,340.2      -7.9       257    2,176      19.7        8
Kitsap, WA...............           7.2          85.7      -7.9       257    1,346      22.7        4
Pierce, WA...............          24.4         303.8      -5.8       167    1,197      11.6      214
Snohomish, WA............          22.7         269.9      -8.4       279    1,380      11.5      219
Spokane, WA..............          17.5         217.5      -6.3       191    1,115      11.2      233
Thurston, WA.............           9.1         112.9      -5.5       151    1,194      11.1      242
Whatcom, WA..............           7.7          83.9      -8.7       290    1,110      12.6      170
Yakima, WA...............           8.2         103.7      -4.6       107      924       8.7      324
Kanawha, WV..............           5.6          90.8      -6.3       191    1,074      11.5      219

Brown, WI................           7.4         152.5      -5.0       127    1,192      12.1      189
Dane, WI.................          16.8         330.5      -5.7       161    1,322      12.4      176
Milwaukee, WI............          28.2         455.8      -7.2       235    1,258      12.0      195
Outagamie, WI............           5.7         104.5      -4.9       124    1,118       9.5      307
Racine, WI...............           4.9          71.7      -4.7       114    1,172      14.3       76
Waukesha, WI.............          14.1         235.4      -5.0       127    1,314      12.0      195
Winnebago, WI............           4.0          90.5      -3.7        71    1,163       6.6      343
San Juan, PR.............          10.9         234.0      -6.6       (5)      749       8.6      (5)

(1) Includes areas not officially designated as counties. See Technical Note.
(2) Average weekly wages were calculated using unrounded data.
(3) Percent changes were computed from employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(4) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
(5) This county was not included in the U.S. rankings.

Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and Unemployment
Compensation for Federal Employees (UCFE) programs. These 357 U.S. counties comprise 73.1 percent of
the total covered workers in the U.S.




Table 2. Covered establishments, employment, and wages in the 10 largest counties,
fourth quarter 2020

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                              fourth quarter
         County by NAICS supersector               2020                    Percent             Percent
                                               (thousands)      December   change,    Fourth   change,
                                                                  2020     December   quarter  fourth
                                                              (thousands)  2019-20(2)  2020    quarter
                                                                                              2019-20(2)


United States(3) ............................      10,675.8     140,881.3      -6.1   $1,339      13.0
  Private industry...........................      10,373.2     119,621.8      -6.4    1,352      13.8
    Natural resources and mining.............         141.4       1,652.9      -8.5    1,219       0.7
    Construction.............................         858.4       7,232.2      -2.9    1,463       7.1
    Manufacturing............................         361.7      12,154.0      -5.0    1,552      11.4
    Trade, transportation, and utilities.....       1,965.7      27,910.4      -2.2    1,077      11.5
    Information..............................         206.7       2,700.8      -6.9    2,814      21.3
    Financial activities.....................         960.0       8,241.1      -2.0    2,166      13.6
    Professional and business services.......       2,024.8      20,783.9      -3.0    1,804      13.1
    Education and health services............       1,893.3      22,534.8      -4.3    1,181      12.4
    Leisure and hospitality..................         897.1      12,251.4     -24.9      567       8.4
    Other services...........................         838.7       3,952.1     -12.4      911      12.7
  Government.................................         302.6      21,259.5      -4.3    1,268       8.7

Los Angeles, CA..............................         528.3       4,105.3     -10.5    1,612      12.4
  Private industry...........................         521.9       3,555.2     -11.2    1,608      13.1
    Natural resources and mining.............           0.6           6.1       7.6    1,236       6.4
    Construction.............................          18.0         147.1      -2.4    1,568       6.3
    Manufacturing............................          12.6         309.6      -8.9    1,702      12.6
    Trade, transportation, and utilities.....          60.8         822.0      -5.9    1,208      12.8
    Information..............................          14.6         186.3      -7.2    3,633      15.8
    Financial activities.....................          32.1         211.2      -6.3    2,437      10.1
    Professional and business services.......          60.8         598.1      -8.3    2,096      12.1
    Education and health services............         250.1         815.8      -3.6    1,120      11.8
    Leisure and hospitality..................          42.0         341.1     -38.5    1,413      16.4
    Other services...........................          30.0         117.7     -23.4      993      17.5
  Government.................................           6.4         550.1      -6.1    1,637       7.9

Cook, IL.....................................         140.7       2,377.0     -10.1    1,571      14.6
  Private industry...........................         139.4       2,100.5     -10.5    1,585      14.8
    Natural resources and mining.............           0.1           1.6       9.5    1,372       4.2
    Construction.............................          11.3          68.9      -8.6    1,800       2.0
    Manufacturing............................           5.7         174.8      -5.9    1,527       6.0
    Trade, transportation, and utilities.....          28.7         461.2      -5.5    1,171       8.5
    Information..............................           2.6          48.7      -8.3    2,536      19.3
    Financial activities.....................          14.3         202.3      -2.3    2,911      13.4
    Professional and business services.......          29.5         454.5      -6.6    2,087      15.0
    Education and health services............          16.3         438.6      -4.7    1,244      12.9
    Leisure and hospitality..................          14.0         164.1     -43.6      610       3.2
    Other services...........................          16.3          85.4     -14.0    1,154      11.1
  Government.................................           1.3         276.4      -6.2    1,469      13.8

New York, NY.................................         129.8       2,163.2     -15.6    3,036      20.9
  Private industry...........................         128.4       1,935.8     -16.8    3,187      23.0
    Natural resources and mining.............           0.0           0.2       2.4    2,796      11.9
    Construction.............................           2.4          37.8     -11.8    2,480       5.5
    Manufacturing............................           1.8          15.2     -30.8    2,008      19.2
    Trade, transportation, and utilities.....          18.0         204.1     -23.1    1,857      18.7
    Information..............................           5.9         183.0      -7.4    3,801      15.6
    Financial activities.....................          19.5         376.8      -4.5    5,573      13.6
    Professional and business services.......          29.3         537.9     -10.7    3,573      21.0
    Education and health services............          10.4         341.9      -7.7    1,724      11.2
    Leisure and hospitality..................          14.3         144.6     -54.4    1,405      19.0
    Other services...........................          19.1          88.0     -19.8    1,544      15.6
  Government.................................           1.5         227.4      -3.8    1,766       3.0

Harris, TX...................................         121.5       2,220.9      -6.5    1,501       5.0
  Private industry...........................         120.9       1,938.2      -7.3    1,528       5.4
    Natural resources and mining.............           1.5          52.7     -19.7    3,777       6.5
    Construction.............................           8.0         149.3     -11.9    1,639       3.5
    Manufacturing............................           5.0         158.6     -11.3    1,792       4.3
    Trade, transportation, and utilities.....          25.6         468.4      -3.4    1,293       5.3
    Information..............................           1.4          22.1     -16.2    1,825      14.2
    Financial activities.....................          13.1         127.1      -3.3    2,111       7.8
    Professional and business services.......          24.7         396.2      -5.2    1,929       3.1
    Education and health services............          17.4         299.2      -2.0    1,254       8.9
    Leisure and hospitality..................          10.9         201.5     -16.5      556       5.3
    Other services...........................          11.8          61.0     -10.5    1,002       9.0
  Government.................................           0.6         282.6      -1.0    1,316       3.2

Maricopa, AZ.................................         113.1       2,069.7      -3.0    1,273      14.8
  Private industry...........................         112.4       1,859.1      -2.9    1,276      15.0
    Natural resources and mining.............           0.5           7.5     -11.7    1,297      27.3
    Construction.............................           8.9         133.0      -1.1    1,458      13.6
    Manufacturing............................           3.6         131.4      -1.0    1,730       9.9
    Trade, transportation, and utilities.....          21.9         428.4       3.0    1,115      13.7
    Information..............................           2.6          35.6     -10.8    1,861      22.8
    Financial activities.....................          15.1         196.4       0.6    1,742      17.7
    Professional and business services.......          28.8         349.3      -3.0    1,381      12.6
    Education and health services............          14.2         336.2      -1.6    1,226      15.0
    Leisure and hospitality..................           9.4         190.3     -17.9      595       9.8
    Other services...........................           7.3          50.7      -7.4      905      10.9
  Government.................................           0.7         210.5      -4.0    1,244      13.0

Dallas, TX...................................          81.7       1,704.6      -3.4    1,548      10.7
  Private industry...........................          81.2       1,526.5      -3.7    1,567      11.3
    Natural resources and mining.............           0.5           7.7     -11.7    2,878       6.7
    Construction.............................           5.1          89.3      -5.0    1,591       5.8
    Manufacturing............................           2.9         116.0      -2.8    1,703      12.1
    Trade, transportation, and utilities.....          16.3         373.3       0.9    1,305      10.8
    Information..............................           1.5          44.0      -6.5    2,259      13.2
    Financial activities.....................          10.2         161.9       0.8    2,193      11.0
    Professional and business services.......          18.8         361.1      -2.2    1,894       8.9
    Education and health services............          10.2         200.6      -2.3    1,386      10.4
    Leisure and hospitality..................           7.4         133.6     -20.1      630       5.5
    Other services...........................           7.3          37.6     -14.9    1,058      17.3
  Government.................................           0.5         178.2      -0.3    1,387       5.8

Orange, CA...................................         133.0       1,501.1      -9.6    1,513      16.6
  Private industry...........................         131.6       1,361.9     -10.0    1,519      17.3
    Natural resources and mining.............           0.2           2.5      14.0    1,114       9.0
    Construction.............................           8.1         100.6      -4.8    1,759       9.8
    Manufacturing............................           5.3         146.5      -8.2    1,925      19.3
    Trade, transportation, and utilities.....          19.0         252.1      -5.2    1,242      11.4
    Information..............................           1.7          23.0     -10.0    2,579      22.6
    Financial activities.....................          13.8         116.6      -2.6    2,626      17.1
    Professional and business services.......          25.0         308.1      -5.8    1,758      15.3
    Education and health services............          40.2         223.9      -3.8    1,192      13.6
    Leisure and hospitality..................          10.1         148.9     -34.1      603       5.8
    Other services...........................           8.1          39.6     -18.6      909      14.3
  Government.................................           1.4         139.2      -6.0    1,461      10.0

San Diego, CA................................         120.1       1,369.8      -9.3    1,564      19.2
  Private industry...........................         118.2       1,144.1      -9.9    1,555      21.2
    Natural resources and mining.............           0.7           8.8      -7.8      971      20.2
    Construction.............................           8.3          81.7      -2.8    1,572      10.9
    Manufacturing............................           3.6         113.2      -5.1    1,938      11.7
    Trade, transportation, and utilities.....          15.5         218.8      -5.4    1,107      16.3
    Information..............................           1.5          21.2     -10.6    2,769      28.1
    Financial activities.....................          11.8          74.8      -3.9    2,115      20.7
    Professional and business services.......          22.5         250.0      -2.4    2,444      23.2
    Education and health services............          36.3         207.9      -3.6    1,196      12.1
    Leisure and hospitality..................           9.3         128.7     -35.3      637      11.6
    Other services...........................           8.5          39.0     -26.7      831      22.2
  Government.................................           1.9         225.7      -6.5    1,610      10.0

King, WA.....................................          93.0       1,340.2      -7.9    2,176      19.7
  Private industry...........................          92.4       1,176.1      -8.2    2,245      20.7
    Natural resources and mining.............           0.4           3.0      -1.9    1,396       5.3
    Construction.............................           7.1          73.7      -2.2    1,763       8.4
    Manufacturing............................           2.5          88.8     -15.6    2,002      13.7
    Trade, transportation, and utilities.....          13.6         285.4      -0.5    2,316      20.4
    Information..............................           2.8         129.8       3.5    4,743      21.5
    Financial activities.....................           7.3          68.1      -2.5    2,463      17.3
    Professional and business services.......          19.8         231.7      -3.2    2,440      11.7
    Education and health services............          21.4         174.0      -4.9    1,279       9.5
    Leisure and hospitality..................           7.6          80.9     -43.8      726       7.9
    Other services...........................           9.8          40.7     -16.1    1,155      16.4
  Government.................................           0.6         164.1      -5.5    1,683      11.2

Miami-Dade, FL...............................         110.4       1,089.3      -8.3    1,295      14.0
  Private industry...........................         110.1         952.6      -9.0    1,274      13.5
    Natural resources and mining.............           0.5           9.1      -4.6      794      14.4
    Construction.............................           7.6          50.4      -0.6    1,177       6.2
    Manufacturing............................           2.9          40.2      -4.8    1,135       7.9
    Trade, transportation, and utilities.....          25.5         274.6      -9.3    1,127      12.6
    Information..............................           1.8          17.3     -12.3    1,986      23.4
    Financial activities.....................          11.9          75.5      -2.8    1,968       8.8
    Professional and business services.......          25.9         162.5      -3.7    1,701      10.7
    Education and health services............          13.7         181.9      -4.7    1,203      10.7
    Leisure and hospitality..................           8.1         105.8     -27.3      776      16.2
    Other services...........................           8.5          34.2     -12.0      821      13.1
  Government.................................           0.3         136.7      -3.3    1,444      17.2

(1) Average weekly wages were calculated using unrounded data.
(2) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic
county reclassifications. See Technical Note.
(3) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.

Note: Data are preliminary. Counties selected are based on 2019 annual average employment.
Includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal
Employees (UCFE) programs.




Table 3. Covered establishments, employment, and wages by state,
fourth quarter 2020

                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                            fourth quarter
            State                2020                     Percent           Percent
                             (thousands)      December    change,   Fourth  change,
                                                2020      December  quarter fourth
                                             (thousands)  2019-20    2020   quarter
                                                                            2019-20


United States(2)...........      10,675.8     140,881.3      -6.1   $1,339     13.0

Alabama....................         134.6       1,951.2      -2.9    1,096     11.4
Alaska.....................          23.1         290.1      -6.4    1,260     10.6
Arizona....................         173.9       2,908.7      -3.3    1,214     14.6
Arkansas...................          94.6       1,194.8      -3.2      999     11.4
California.................       1,660.2      16,380.1      -8.3    1,724     18.5
Colorado...................         219.6       2,613.7      -5.7    1,378     12.3
Connecticut................         126.8       1,578.4      -6.5    1,551     12.2
Delaware...................          35.1         432.9      -5.2    1,262     11.3
District of Columbia.......          43.8         713.0      -8.9    2,293     15.2
Florida....................         765.4       8,642.8      -5.0    1,180     13.1

Georgia....................         319.7       4,405.9      -4.0    1,208     10.9
Hawaii.....................          47.3         561.1     -16.1    1,219     16.0
Idaho......................          71.8         763.5       0.8    1,034     12.8
Illinois...................         386.3       5,573.8      -7.8    1,378     13.0
Indiana....................         173.1       2,985.1      -4.0    1,076     11.2
Iowa.......................         105.6       1,494.3      -4.3    1,099     11.6
Kansas.....................          89.9       1,346.9      -4.5    1,070     11.5
Kentucky...................         130.4       1,839.6      -4.8    1,057     10.8
Louisiana..................         140.8       1,796.9      -7.0    1,078      8.6
Maine......................          55.4         594.3      -4.3    1,092     14.5

Maryland...................         174.5       2,546.1      -6.7    1,445     13.6
Massachusetts..............         266.7       3,365.8      -8.3    1,766     17.0
Michigan...................         265.3       3,998.2      -8.9    1,257     12.8
Minnesota..................         186.4       2,684.1      -7.9    1,322     12.3
Mississippi................          76.1       1,119.1      -2.4      901     10.4
Missouri...................         221.5       2,724.4      -4.3    1,127     11.6
Montana....................          54.6         467.4      -1.4    1,035     12.7
Nebraska...................          72.5         962.7      -2.9    1,079     11.5
Nevada.....................          90.2       1,283.1     -10.7    1,178     14.4
New Hampshire..............          57.1         637.3      -5.2    1,406     17.9

New Jersey.................         291.0       3,860.5      -7.2    1,517     13.9
New Mexico.................          64.8         767.1      -9.5    1,052     11.8
New York...................         662.4       8,693.4     -10.3    1,712     14.2
North Carolina.............         301.7       4,431.0      -2.7    1,152     11.2
North Dakota...............          32.6         394.4      -7.1    1,136      4.7
Ohio.......................         307.3       5,199.9      -5.1    1,161     12.0
Oklahoma...................         113.6       1,569.1      -4.4    1,013      7.3
Oregon.....................         167.3       1,824.3      -7.5    1,256     14.2
Pennsylvania...............         370.5       5,549.4      -7.4    1,287     12.6
Rhode Island...............          40.7         449.6      -8.3    1,259     14.7

South Carolina.............         149.2       2,074.4      -3.5    1,035     11.1
South Dakota...............          35.5         422.8      -1.9    1,048     14.4
Tennessee..................         176.2       3,002.5      -2.7    1,172     11.7
Texas......................         743.1      12,251.1      -4.3    1,294      9.0
Utah.......................         117.9       1,557.8       0.6    1,154     12.9
Vermont....................          26.6         286.1      -8.9    1,133     14.7
Virginia...................         289.8       3,796.1      -4.7    1,360     13.0
Washington.................         259.7       3,219.7      -6.8    1,589     16.0
West Virginia..............          51.9         654.1      -5.3      997     10.3
Wisconsin..................         184.2       2,762.5      -4.8    1,140     11.7

Wyoming....................          27.7         260.2      -5.3    1,061      4.6

Puerto Rico................          46.0         873.8      -4.0      621      8.0
Virgin Islands.............           3.5          35.3     -11.5    1,057     -1.3

(1) Average weekly wages were calculated using unrounded data.
(2) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.

Note: Data are preliminary. Includes workers covered by Unemployment Insurance (UI) and
Unemployment Compensation for Federal Employees (UCFE) programs.




Last Modified Date: May 19, 2021