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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, November 18, 2020	USDL-20-2131

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

COUNTY EMPLOYMENT AND WAGES – SECOND QUARTER 2020

From June 2019 to June 2020, employment decreased in all of the 357 largest U.S. counties, the U.S. 
Bureau of Labor Statistics reported today. In June 2020, national employment (as measured by the 
QCEW program) decreased to 135.1 million, a 9.4-percent decrease over the year. Atlantic, NJ, had the 
largest over-the-year decrease in employment with a loss of 34.2 percent. Employment data in this 
release are presented for June 2020, and average weekly wage data are presented for second quarter 
2020. Employment in most of the country was impacted by the COVID-19 pandemic and efforts to 
contain it.

Among the 357 largest counties, 352 had over-the-year increases in average weekly wages. In the 
second quarter of 2020, average weekly wages for the nation increased to $1,188, an 8.6-percent 
increase over the year. Atlantic, NJ, had the largest second quarter over-the-year wage gain at 22.5 
percent. (See table 1.) The increases in average weekly wages largely reflect substantial employment 
loss among lower-paid industries.

Large County Employment in June 2020

Atlantic, NJ, had the largest over-the-year percentage decrease in employment (-34.2 percent). Within 
Atlantic, the largest employment decrease occurred in leisure and hospitality, which lost 33,336 jobs 
over the year (-75.2 percent).

Cleveland, OK, and Utah, UT, both experienced the smallest over-the-year percentage decrease in 
employment, each with a loss of 0.2 percent. Within Cleveland, leisure and hospitality had the largest 
employment decrease with a loss of 1,838 jobs (-13.7 percent). Within Utah, leisure and hospitality had 
the largest employment decrease with a loss of 2,297 jobs (-9.9 percent).

Large County Average Weekly Wage in Second Quarter 2020

Atlantic, NJ, had the largest over-the-year percentage increase in average weekly wages (+22.5 percent). 
Within Atlantic, an average weekly wage gain of $143 (+24.2 percent) in leisure and hospitality made 
the largest contribution to the county’s increase in average weekly wages.

Ector, TX, had the largest over-the-year percentage decrease in average weekly wages with a loss of 6.6 
percent. Within Ector, natural resources and mining had the largest impact, with an average weekly 
wage decrease of $84 (-4.7 percent) over the year.

Ten Largest Counties

All of the 10 largest counties had over-the-year percentage decreases in employment. In June 2020, New 
York, NY, had the largest over-the-year employment percentage loss (-18.8 percent). Within New York, 
leisure and hospitality had the largest employment decrease with a loss of 208,495 jobs (-66.1 percent). 
(See table 2.)

All of the 10 largest counties had over-the-year percentage increases in average weekly wages. In 
second quarter 2020, New York, NY, experienced the largest over-the-year percentage gain in average 
weekly wages (+14.9 percent). Within New York, leisure and hospitality had the largest impact, with an 
average weekly wage increase of $149 (+15.5 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. June 2020 employment and second quarter 2020 
average weekly wages for all states are provided in table 3 of this release.

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 second quarter 2020 is scheduled to be 
released on Wednesday, December 2, 2020, at 10:00 a.m. (ET). 

The County Employment and Wages news release for third quarter 2020 is scheduled to be 
released on Wednesday, February 24, 2021, at 10:00 a.m. (ET). 

__________________________________________________________________________________________________________
			
			Special Notice: Imputation Methodology Improvements

	QCEW implemented improvements to imputation methodology, effective with second quarter 2020 
	processing. QCEW imputation creates estimated values for non-respondent employers for the first 
	two quarters of non-response. After two quarters of non-response, establishments are converted 
	from non-respondents to establishment deaths. Usually, non-respondents account for less than 5 
	percent of QCEW employment. BLS expected substantially higher than usual numbers of non-respondent 
	employers in the second quarter of 2020 due to the coronavirus (COVID-19) pandemic and efforts to 
	contain it. The national employment response rate for second quarter declined by 0.4 percent. 
	Changes to state response rates varied. For more information on QCEW response rates, 
	see www.bls.gov/cew/response-rates/home.htm. 

	QCEW implemented three improvements to imputation methodology. First, BLS summarized counts of
	the regular state unemployment insurance claims by employer to identify employers who may have 
	ceased operations, either temporarily or permanently. These employers were treated as business 
	deaths rather than being treated as late respondents. Second, for employers that are expected to 
	still be in operation during the reference time period, BLS modified the imputation formula to 
	use reported data for similar employers to create imputed levels of employment and wages. Third, 
	state QCEW staff used unemployment insurance claims information as a supplement to aid their 
	review of imputed and reported QCEW data.

	BLS applied these changes to data for non-respondent employers in the first and second quarters 
	of 2020. The impact on first quarter 2020 was negligible. The impact on second quarter 2020 
	employment was a decline of 0.2 percent, or a decline of about 270,000 from what would have been 
	reported for June 2020 employment. Total wages decreased by 0.1 percent. For more information on 
	QCEW imputation methodology and the impact of the improved methods, see 
	www.bls.gov/cew/additional-resources/imputation-methodology.htm.

__________________________________________________________________________________________________________

__________________________________________________________________________________________________________
		
		Coronavirus (COVID-19) Pandemic Impact on Second Quarter 2020 QCEW Data

	Response rate tables for the second quarter of 2020 are available at 
	www.bls.gov/covid19/county-employment-and-wages-covid-19-impact-second-quarter-2020.htm. 
	For more information about the effects of the COVID-19 pandemic on QCEW data, see
	www.bls.gov/covid19/effects-of-covid-19-pandemic-on-county-employment-and-wages-data.htm.
__________________________________________________________________________________________________________




Technical Note

Special technical note: This technical note describes the procedures regularly used for the 
Quarterly Census of Employment and Wages (QCEW) program. Due to COVID-19, some of the 
procedures described in this technical note have been modified. The modifications are briefly 
described in the box notes in this news release and are described in more detail at 
www.bls.gov/covid19/effects-of-covid-19-pandemic-on-county-employment-and-wages-data.htm 
and also at www.bls.gov/cew/additional-resources/imputation-methodology.htm.

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.

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,
second quarter 2020

                                                   Employment               Average weekly wage(2)

                          Establishments,
        County(1)          second quarter               Percent   Ranking            Percent   Ranking
                                2020          June      change,      by    Second    change,      by
                            (thousands)       2020       June     percent  quarter   second    percent
                                          (thousands) 2019-20(3)   change    2020    quarter    change
                                                                                   2019-20(3)

United States(4).........      10,451.0     135,114.4      -9.4        -    $1,188       8.6       -

Baldwin, AL..............           6.6          74.1      -6.7        88      782       8.6      156
Jefferson, AL............          19.3         328.8      -7.7       130    1,115       5.0      317
Madison, AL..............          10.1         198.4      -3.8        19    1,255       8.8      144
Mobile, AL...............          10.4         160.2      -6.7        88      961       6.3      275
Montgomery, AL...........           6.4         121.7      -7.9       136      936       5.9      289
Shelby, AL...............           5.9          80.0      -6.3        75    1,056       4.7      323
Tuscaloosa, AL...........           4.6          86.9     -10.3       219      908       3.2      340
Anchorage, AK............           8.3         133.9     -10.5       226    1,262      11.1       76
Maricopa, AZ.............         110.7       1,924.6      -4.6        30    1,137       7.7      209
Pima, AZ.................          19.5         350.5      -6.4        77      990       8.0      193

Benton, AR...............           7.0         121.7      -1.4         4    1,327      11.1       76
Pulaski, AR..............          14.5         233.6      -7.8       132    1,014       7.0      246
Washington, AR...........           6.4         103.7      -6.2        71      968       6.7      260
Alameda, CA..............          66.7         707.9     -10.9       241    1,648      10.2       98
Butte, CA................           8.4          74.1      -8.4       152      916       8.8      144
Contra Costa, CA.........          34.6         329.4     -12.1       269    1,486      10.7       86
Fresno, CA...............          38.5         382.4      -6.2        71      932       6.5      266
Kern, CA.................          21.9         306.9      -9.2       181      991       8.9      140
Los Angeles, CA..........         518.8       3,945.3     -12.2       272    1,333       8.9      140
Marin, CA................          12.7         100.6     -13.7       311    1,617      15.6        8

Merced, CA...............           7.0          77.8      -6.6        86      891       7.0      246
Monterey, CA.............          14.4         195.2      -8.8       167      983       6.3      275
Napa, CA.................           6.0          70.2     -14.6       320    1,186       9.2      130
Orange, CA...............         130.0       1,442.0     -12.7       285    1,334      11.4       64
Placer, CA...............          14.2         157.5      -9.4       189    1,221      13.3       22
Riverside, CA............          71.4         703.6      -8.1       143      957       8.4      167
Sacramento, CA...........          63.3         634.6      -7.4       117    1,326      11.0       83
San Bernardino, CA.......          65.1         735.2      -5.3        46      993       7.5      219
San Diego, CA............         118.2       1,325.1     -11.2       248    1,315      10.6       88
San Francisco, CA........          61.9         663.4     -12.8       288    2,643       8.6      156

San Joaquin, CA..........          19.0         248.0      -5.1        38    1,008       7.8      204
San Luis Obispo, CA......          10.8         106.3     -12.8       288    1,034       8.3      177
San Mateo, CA............          29.3         372.7     -10.6       231    2,812      18.1        4
Santa Barbara, CA........          16.0         199.7      -5.1        38    1,138       8.5      159
Santa Clara, CA..........          76.1       1,022.0      -9.1       179    3,045      16.5        6
Santa Cruz, CA...........           9.8          97.5     -12.7       285    1,136      12.9       23
Solano, CA...............          12.0         129.7     -10.0       211    1,250       7.8      204
Sonoma, CA...............          20.4         187.0     -12.0       265    1,177      10.0      102
Stanislaus, CA...........          16.6         181.0      -7.5       121    1,013       9.2      130
Tulare, CA...............          11.8         161.2      -5.0        36      850       8.7      151

Ventura, CA..............          28.3         306.5      -8.5       157    1,194      11.9       46
Yolo, CA.................           7.3         102.6      -6.9        95    1,233       8.3      177
Adams, CO................          12.1         217.2      -4.4        27    1,130       6.6      264
Arapahoe, CO.............          23.4         315.3      -6.5        81    1,349       8.3      177
Boulder, CO..............          16.4         174.2      -8.2       146    1,428       9.5      116
Denver, CO...............          35.9         475.2     -11.3       251    1,485      10.6       88
Douglas, CO..............          13.2         126.6      -5.2        42    1,324       7.5      219
El Paso, CO..............          21.4         269.3      -6.2        71    1,061       8.5      159
Jefferson, CO............          21.6         229.2      -7.4       117    1,240      10.4       94
Larimer, CO..............          13.2         155.9      -7.3       115    1,090      11.6       57

Weld, CO.................           8.2         104.7      -9.3       183    1,025       2.4      348
Fairfield, CT............          36.8         366.1     -13.7       311    1,751      11.7       52
Hartford, CT.............          29.3         459.0     -11.4       254    1,383       9.8      106
New Haven, CT............          25.2         333.0     -10.1       214    1,227      11.5       59
New London, CT...........           7.8         101.4     -18.9       348    1,236      17.3        5
New Castle, DE...........          21.3         266.4      -9.3       183    1,279       8.1      188
Sussex, DE...............           7.6          79.9     -10.5       226      872      12.4       36
Washington, DC...........          41.6         701.7     -10.0       211    1,987      11.7       52
Alachua, FL..............           7.6         124.2      -5.5        50      979       5.6      299
Brevard, FL..............          16.7         212.7      -3.2        13    1,063       6.6      264

Broward, FL..............          73.4         738.6      -9.0       176    1,084       6.8      258
Collier, FL..............          15.5         134.7      -5.5        50    1,018       7.3      229
Duval, FL................          31.3         497.0      -4.7        34    1,074       6.9      250
Escambia, FL.............           8.6         133.6      -2.8        11      893       6.1      279
Hillsborough, FL.........          46.7         663.9      -4.6        30    1,107       6.4      269
Lake, FL.................           9.0          95.0      -3.6        17      793       5.7      294
Lee, FL..................          24.0         245.8      -5.6        52      946       6.4      269
Leon, FL.................           9.1         141.1      -6.0        64      927       7.2      234
Manatee, FL..............          11.9         119.1      -5.2        42      876       4.7      323
Marion, FL...............           8.9         104.5      -2.2         6      795       5.4      309

Miami-Dade, FL...........         105.6       1,036.8      -9.3       183    1,109       5.5      302
Okaloosa, FL.............           6.8          82.1      -4.3        24    1,015       8.8      144
Orange, FL...............          46.6         688.2     -19.9       351    1,051      10.3       96
Osceola, FL..............           8.0          82.9     -14.4       316      797       5.7      294
Palm Beach, FL...........          60.1         561.6      -7.5       121    1,138       7.6      215
Pasco, FL................          11.8         113.2      -2.5         8      834       6.0      285
Pinellas, FL.............          35.1         414.7      -5.7        54    1,001       5.6      299
Polk, FL.................          14.6         220.8      -1.4         4      869       3.0      344
St. Johns, FL............           8.2          74.8      -3.4        15      911       8.1      188
St. Lucie, FL............           7.2          73.5      -3.3        14      875       3.2      340

Sarasota, FL.............          17.0         159.4      -5.2        42      941       5.5      302
Seminole, FL.............          16.1         186.9      -6.2        71    1,033       8.7      151
Volusia, FL..............          15.3         160.4      -7.0       103      855       8.4      167
Bibb, GA.................           4.5          77.7      -5.8        56      872       5.2      315
Chatham, GA..............           8.7         146.7      -9.5       190      952       6.1      279
Clayton, GA..............           4.3          97.3     -20.5       353    1,089       2.6      345
Cobb, GA.................          23.3         341.4      -8.8       167    1,179       4.9      321
DeKalb, GA...............          19.0         280.8      -7.2       111    1,175       7.2      234
Forsyth, GA..............           6.3          74.3      -4.6        30    1,015       6.4      269
Fulton, GA...............          46.9         809.3     -10.3       219    1,514       7.9      200

Gwinnett, GA.............          27.1         337.9      -6.7        88    1,056       3.6      334
Hall, GA.................           4.8          86.3      -3.7        18      964       3.5      337
Muscogee, GA.............           4.7          88.8      -6.0        64      884       7.8      204
Richmond, GA.............           4.7          97.5      -6.0        64      959       8.0      193
Honolulu, HI.............          27.7         385.0     -17.7       343    1,158      11.9       46
Maui + Kalawao, HI.......           6.8          54.6     -32.6       356      981      10.6       88
Ada, ID..................          17.6         248.5      -2.6        10    1,017       7.1      241
Champaign, IL............           4.1          85.3      -7.2       111    1,042      10.7       86
Cook, IL.................         138.4       2,297.3     -13.1       299    1,372       9.6      114
DuPage, IL...............          34.5         554.0     -12.4       277    1,290       7.4      226

Kane, IL.................          12.6         189.3     -13.1       299    1,031       8.5      159
Lake, IL.................          20.1         310.7     -11.7       260    1,500       9.7      109
McHenry, IL..............           7.8          89.4     -10.7       235      933       7.9      200
McLean, IL...............           3.3          74.4      -9.5       190    1,075      12.8       24
Madison, IL..............           5.3          96.3      -6.9        95      885       6.2      277
Peoria, IL...............           4.1          94.5     -10.8       237    1,143       7.4      226
St. Clair, IL............           5.0          81.9     -11.6       259      942      11.3       68
Sangamon, IL.............           4.8         118.9      -9.2       181    1,110       6.8      258
Will, IL.................          15.1         231.8      -9.0       176      995       7.2      234
Winnebago, IL............           5.9         112.0     -12.4       277      955       8.2      182

Allen, IN................           9.2         177.9      -7.8       132      943       6.9      250
Elkhart, IN..............           4.8         124.0      -8.6       162      908      -1.5      353
Hamilton, IN.............          10.0         137.5      -6.9        95    1,099       9.1      133
Lake, IN.................          10.6         171.3      -9.9       202      944       4.2      327
Marion, IN...............          24.9         552.4      -8.7       166    1,170       8.4      167
St. Joseph, IN...........           5.9         113.3      -9.8       200      941       7.3      229
Tippecanoe, IN...........           3.8          79.1      -7.1       106      971       3.6      334
Vanderburgh, IN..........           4.8          98.8      -9.9       202      902       3.2      340
Johnson, IA..............           4.4          77.2      -7.5       121    1,094      10.2       98
Linn, IA.................           7.1         122.3      -8.0       138    1,096       7.6      215

Polk, IA.................          18.3         282.3      -8.5       157    1,176      10.8       84
Scott, IA................           5.8          84.0      -9.9       202      934       7.7      209
Johnson, KS..............          24.5         333.2      -6.4        77    1,207       9.1      133
Sedgwick, KS.............          12.9         229.2     -11.3       251      945       4.7      323
Shawnee, KS..............           5.1          90.6      -5.9        61      917       5.3      312
Wyandotte, KS............           3.6          86.3      -4.4        27    1,098       4.2      327
Boone, KY................           4.6          89.9      -5.9        61      969       3.1      343
Fayette, KY..............          11.6         179.4      -8.4       152    1,055       9.4      123
Jefferson, KY............          26.3         427.8      -9.6       194    1,154       8.4      167
Caddo, LA................           7.4         100.5      -9.3       183      916       6.9      250

Calcasieu, LA............           5.5          85.1     -17.1       340      984       2.4      348
East Baton Rouge, LA.....          16.8         233.1     -10.9       241    1,076       5.5      302
Jefferson, LA............          14.5         168.8     -11.4       254    1,056       8.8      144
Lafayette, LA............          10.3         118.5      -9.7       198      945       5.0      317
Orleans, LA..............          14.0         158.8     -20.3       352    1,165      18.2        3
St. Tammany, LA..........           9.0          83.1      -8.4       152      973       9.3      126
Cumberland, ME...........          13.9         167.2     -12.9       294    1,124      14.5       14
Anne Arundel, MD.........          15.5         246.2     -12.2       272    1,309      12.5       33
Baltimore, MD............          21.2         340.4     -11.5       256    1,194      10.6       88
Frederick, MD............           6.6          94.0     -12.6       283    1,108      11.9       46

Harford, MD..............           5.9          87.1      -9.9       202    1,161      11.5       59
Howard, MD...............          10.2         154.6     -12.8       288    1,490      12.5       33
Montgomery, MD...........          33.0         420.8     -12.3       274    1,590      11.7       52
Prince George's, MD......          16.4         280.6     -14.2       315    1,275      12.3       39
Baltimore City, MD.......          13.8         319.3      -7.6       126    1,329       3.7      333
Barnstable, MA...........           9.7          85.7     -21.1       355    1,076      16.1        7
Bristol, MA..............          17.8         200.3     -14.4       316    1,124      11.1       76
Essex, MA................          27.6         283.5     -15.3       330    1,311      13.7       19
Hampden, MA..............          18.8         182.9     -14.5       318    1,037      11.1       76
Middlesex, MA............          57.0         835.4     -12.3       274    1,880      14.0       16

Norfolk, MA..............          25.6         299.2     -17.3       342    1,425      12.7       29
Plymouth, MA.............          16.5         167.7     -17.9       344    1,180      14.0       16
Suffolk, MA..............          32.1         611.3     -13.6       309    2,053      13.4       21
Worcester, MA............          26.5         312.7     -12.5       282    1,199      12.8       24
Genesee, MI..............           7.3         119.0     -12.3       274      925       7.2      234
Ingham, MI...............           6.6         136.6     -11.0       244    1,140       9.5      116
Kalamazoo, MI............           5.8         109.6     -11.7       260    1,071       9.1      133
Kent, MI.................          16.3         351.7     -15.4       333    1,059      13.5       20
Macomb, MI...............          19.2         291.2     -13.5       304    1,114       6.0      285
Oakland, MI..............          43.2         648.3     -14.8       325    1,278       8.4      167

Ottawa, MI...............           6.3         117.6     -10.0       211      957       6.0      285
Saginaw, MI..............           4.1          73.7     -13.8       313      947       9.0      137
Washtenaw, MI............           9.3         189.6     -12.0       265    1,260       9.2      130
Wayne, MI................          36.1         639.8     -13.5       304    1,282      11.8       49
Anoka, MN................           8.0         119.2      -9.1       179    1,110       7.1      241
Dakota, MN...............          11.0         174.9     -10.3       219    1,167       9.5      116
Hennepin, MN.............          42.0         830.7     -12.4       277    1,470       9.1      133
Olmsted, MN..............           3.9          91.4      -9.9       202    1,332      14.6       12
Ramsey, MN...............          14.5         299.9     -11.2       248    1,288       8.5      159
St. Louis, MN............           5.5          87.3     -13.5       304      991       8.3      177

Stearns, MN..............           4.5          80.0      -8.5       157      966       8.4      167
Washington, MN...........           6.3          82.0      -9.8       200    1,016       9.0      137
Harrison, MS.............           4.6          78.9     -10.1       214      818       9.5      116
Hinds, MS................           5.6         111.6      -6.6        86      925       6.1      279
Boone, MO................           5.0          87.8      -6.9        95      990      12.4       36
Clay, MO.................           6.0          99.8      -6.7        88      960       1.8      350
Greene, MO...............           9.6         160.4      -5.8        56      906       8.1      188
Jackson, MO..............          23.2         347.8      -8.3       148    1,154       5.3      312
St. Charles, MO..........          10.1         145.1      -5.4        48      954       7.7      209
St. Louis, MO............          41.6         551.3      -9.7       198    1,221       7.3      229

St. Louis City, MO.......          15.7         201.8     -11.9       264    1,243       7.9      200
Yellowstone, MT..........           6.6          80.1      -3.4        15      978       6.5      266
Douglas, NE..............          19.2         319.1      -7.0       103    1,083       8.2      182
Lancaster, NE............          10.2         161.3      -6.4        77      943       9.3      126
Clark, NV................          57.1         830.0     -18.9       348    1,026       8.8      144
Washoe, NV...............          15.2         207.3      -8.8       167    1,065       8.7      151
Hillsborough, NH.........          12.4         186.6     -10.5       226    1,306      11.3       68
Merrimack, NH............           5.2          71.1      -9.5       190    1,091       9.4      123
Rockingham, NH...........          11.3         137.7     -11.0       244    1,205      11.8       49
Atlantic, NJ.............           6.7          90.8     -34.2       357    1,104      22.5        1

Bergen, NJ...............          33.7         372.5     -17.0       338    1,364      10.6       88
Burlington, NJ...........          11.3         180.8     -12.7       285    1,202       8.8      144
Camden, NJ...............          12.5         178.5     -13.5       304    1,172      11.7       52
Essex, NJ................          21.2         295.6     -15.3       330    1,447      11.2       73
Gloucester, NJ...........           6.6         101.9     -11.3       251      996       9.5      116
Hudson, NJ...............          16.1         234.0     -15.0       326    1,550       7.8      204
Mercer, NJ...............          11.4         238.2      -9.6       194    1,508      11.4       64
Middlesex, NJ............          22.9         380.2     -12.0       265    1,364      10.5       93
Monmouth, NJ.............          20.6         226.8     -18.1       345    1,197      15.0       10
Morris, NJ...............          17.3         258.7     -13.6       309    1,667       8.2      182

Ocean, NJ................          13.9         151.4     -16.9       337      955      12.8       24
Passaic, NJ..............          12.9         142.9     -15.1       329    1,140      11.1       76
Somerset, NJ.............          10.4         169.0     -13.0       296    1,780       9.7      109
Union, NJ................          15.0         200.4     -13.5       304    1,465      12.0       43
Bernalillo, NM...........          20.1         304.3      -8.8       167    1,009       9.7      109
Albany, NY...............          10.4         211.1     -10.3       219    1,277       8.3      177
Bronx, NY................          19.2         288.0     -11.5       256    1,204       8.0      193
Broome, NY...............           4.4          75.6     -13.2       301    1,010      12.8       24
Dutchess, NY.............           8.5          98.1     -15.0       326    1,199      11.3       68
Erie, NY.................          24.5         407.8     -14.7       322    1,106      12.1       41

Kings, NY................          66.6         688.2     -14.6       320    1,058      10.3       96
Monroe, NY...............          18.9         344.3     -13.4       302    1,126      11.6       57
Nassau, NY...............          54.5         533.1     -17.0       338    1,388      14.2       15
New York, NY.............         131.1       2,048.7     -18.8       347    2,427      14.9       11
Oneida, NY...............           5.3          94.4     -12.4       277      947       8.9      140
Onondaga, NY.............          12.7         221.5     -13.0       296    1,095       9.5      116
Orange, NY...............          10.8         129.5     -15.0       326    1,085      12.6       30
Queens, NY...............          54.1         592.5     -18.2       346    1,174       7.8      204
Richmond, NY.............          10.1         110.1     -15.7       334    1,158      12.0       43
Rockland, NY.............          11.3         112.2     -15.3       330    1,154      11.1       76

Saratoga, NY.............           6.1          78.0     -16.2       335    1,170      12.6       30
Suffolk, NY..............          53.8         579.5     -16.5       336    1,296      12.0       43
Westchester, NY..........          36.4         367.7     -17.1       340    1,721      21.7        2
Buncombe, NC.............          10.3         114.7     -14.7       322      916       8.5      159
Cabarrus, NC.............           5.2          72.2      -6.5        81      862       6.9      250
Catawba, NC..............           4.6          81.7      -7.6       126      851       2.5      346
Cumberland, NC...........           6.5         112.1      -7.5       121      887       3.9      331
Durham, NC...............           9.1         205.9      -5.4        48    1,478       8.4      167
Forsyth, NC..............           9.7         174.6      -8.6       162    1,021       6.9      250
Guilford, NC.............          15.1         260.1      -8.5       157      986       3.8      332

Iredell, NC..............           5.8          73.2      -4.3        24      983       5.4      309
Mecklenburg, NC..........          41.5         671.3      -6.3        75    1,331       8.4      167
New Hanover, NC..........           9.0         110.0      -7.5       121      961       9.7      109
Pitt, NC.................           3.9          71.8      -7.1       106      913       5.7      294
Wake, NC.................          38.6         534.4      -7.2       111    1,207       7.3      229
Cass, ND.................           7.6         113.2      -6.8        93    1,070       7.5      219
Butler, OH...............           8.0         146.3      -7.8       132    1,024       8.2      182
Cuyahoga, OH.............          36.2         668.0      -9.6       194    1,168       8.2      182
Delaware, OH.............           5.8          83.7     -10.1       214    1,142      11.4       64
Franklin, OH.............          34.2         711.2      -6.9        95    1,142       7.6      215

Greene, OH...............           3.7          72.9      -4.7        34    1,224       9.9      103
Hamilton, OH.............          24.5         476.4      -9.6       194    1,234       6.5      266
Lake, OH.................           6.3          90.1      -8.8       167      956       7.2      234
Lorain, OH...............           6.3          91.9      -8.4       152      879       6.2      277
Lucas, OH................          10.1         188.6     -10.9       241      959       5.5      302
Mahoning, OH.............           5.9          88.8      -9.9       202      821       8.7      151
Montgomery, OH...........          12.2         236.6      -7.7       130      968       4.8      322
Stark, OH................           8.6         147.6      -8.3       148      836       4.1      330
Summit, OH...............          14.5         246.7      -8.3       148    1,010       6.4      269
Warren, OH...............           5.3          92.0      -8.0       138    1,075       8.1      188

Cleveland, OK............           6.1          80.9      -0.2         1      865       7.5      219
Oklahoma, OK.............          28.6         438.2      -6.0        64    1,059       6.1      279
Tulsa, OK................          22.8         338.1      -6.9        95    1,017       5.5      302
Clackamas, OR............          15.7         155.0      -9.9       202    1,130       9.3      126
Deschutes, OR............           9.5          79.4      -9.3       183    1,015      12.8       24
Jackson, OR..............           8.0          84.6      -7.1       106      922       8.9      140
Lane, OR.................          12.9         142.5     -10.6       231      938       9.8      106
Marion, OR...............          11.6         150.2      -7.4       117    1,015       9.3      126
Multnomah, OR............          36.6         455.2     -12.8       288    1,293      11.2       73
Washington, OR...........          20.5         278.7      -8.6       162    1,516      11.3       68

Allegheny, PA............          35.7         633.3     -10.6       231    1,267       8.5      159
Berks, PA................           8.9         156.1     -11.5       256    1,042       7.1      241
Bucks, PA................          20.4         232.8     -14.5       318    1,115      11.5       59
Butler, PA...............           5.1          81.9      -8.3       148    1,076       8.2      182
Chester, PA..............          15.9         227.8     -10.8       237    1,543      11.1       76
Cumberland, PA...........           6.6         126.2      -7.9       136    1,088       8.0      193
Dauphin, PA..............           7.5         167.5     -12.0       265    1,170       9.8      106
Delaware, PA.............          14.2         196.8     -13.4       302    1,251      11.3       68
Erie, PA.................           6.9         108.5     -13.0       296      916      11.4       64
Lackawanna, PA...........           5.6          86.5     -11.8       262      922      11.5       59

Lancaster, PA............          13.8         221.7     -10.7       235      979       8.1      188
Lehigh, PA...............           8.8         175.0     -11.2       248    1,133       9.4      123
Luzerne, PA..............           7.4         131.4     -10.5       226      930       9.0      137
Montgomery, PA...........          28.0         450.2     -12.4       277    1,446      11.5       59
Northampton, PA..........           6.9         104.7     -12.6       283    1,003       8.0      193
Philadelphia, PA.........          35.1         610.8     -12.9       294    1,380       9.9      103
Washington, PA...........           5.5          78.3     -13.9       314    1,107       5.3      312
Westmoreland, PA.........           9.2         121.7     -10.4       224      932       7.1      241
York, PA.................           9.2         164.0      -9.3       183    1,026       7.7      209
Kent, RI.................           5.6          66.8     -14.7       322    1,070      15.3        9

Providence, RI...........          19.1         253.2     -12.8       288    1,198      12.1       41
Charleston, SC...........          17.6         236.1     -10.3       219    1,064       9.7      109
Greenville, SC...........          15.9         256.8      -7.8       132      997       6.7      260
Horry, SC................          10.0         124.9     -12.1       269      723      11.2       73
Lexington, SC............           7.3         118.3      -2.5         8      865       5.5      302
Richland, SC.............          11.0         206.0      -7.1       106      970       8.6      156
Spartanburg, SC..........           6.8         141.7      -5.2        42      920       0.3      351
York, SC.................           6.8          94.9      -6.1        69      960       9.5      116
Minnehaha, SD............           7.8         123.6      -5.0        36    1,013       8.5      159
Davidson, TN.............          25.4         460.4     -10.6       231    1,215       8.4      167

Hamilton, TN.............          10.6         194.7      -6.1        69      990       4.2      327
Knox, TN.................          13.3         226.7      -5.3        46      983       6.4      269
Rutherford, TN...........           6.3         123.7      -6.9        95      934      -2.7      355
Shelby, TN...............          21.5         465.2      -7.6       126    1,156       5.8      290
Williamson, TN...........          10.0         130.9      -6.5        81    1,354       6.9      250
Bell, TX.................           5.9         116.7      -3.9        20      982       5.4      309
Bexar, TX................          43.7         815.1      -7.1       106    1,047       5.8      290
Brazoria, TX.............           6.3         110.1      -5.9        61    1,134       3.4      338
Brazos, TX...............           4.8          98.0      -5.6        52      881       9.9      103
Cameron, TX..............           6.6         136.6      -4.1        21      698       6.1      279

Collin, TX...............          28.7         415.5      -5.8        56    1,350       7.5      219
Dallas, TX...............          80.2       1,623.5      -5.8        56    1,361       4.5      326
Denton, TX...............          16.9         249.5      -5.1        38    1,031       7.1      241
Ector, TX................           4.2          65.9     -19.3       350    1,142      -6.6      357
El Paso, TX..............          15.7         292.3      -5.7        54      810       7.4      226
Fort Bend, TX............          15.1         186.1      -5.8        56    1,026       5.0      317
Galveston, TX............           6.4         106.0      -6.0        64    1,029       5.6      299
Gregg, TX................           4.3          68.2     -10.8       237      919       0.2      352
Harris, TX...............         119.2       2,179.4      -7.3       115    1,352       3.4      338
Hidalgo, TX..............          12.8         253.0      -4.3        24      704       7.0      246

Jefferson, TX............           5.8         110.1     -10.2       217    1,101       5.7      294
Lubbock, TX..............           7.9         134.9      -4.6        30      918       7.9      200
McLennan, TX.............           5.5         111.1      -2.3         7      943       7.0      246
Midland, TX..............           6.2          87.8     -21.0       354    1,404      -4.6      356
Montgomery, TX...........          12.7         181.7      -6.7        88    1,145       5.0      317
Nueces, TX...............           8.3         151.4      -8.5       157      948       2.5      346
Potter, TX...............           4.0          73.7      -4.5        29      954       6.7      260
Smith, TX................           6.5         100.8      -4.1        21      928       5.7      294
Tarrant, TX..............          46.4         867.9      -6.5        81    1,129       5.1      316
Travis, TX...............          44.9         733.1      -6.4        77    1,417       9.6      114

Webb, TX.................           5.6          95.0      -8.8       167      753       7.7      209
Williamson, TX...........          12.4         175.1      -5.1        38    1,193      11.8       49
Davis, UT................           9.3         132.2      -0.9         3      986      10.8       84
Salt Lake, UT............          50.3         691.0      -4.2        23    1,146       8.8      144
Utah, UT.................          18.5         248.5      -0.2         1      984      10.2       98
Weber, UT................           6.5         106.1      -2.9        12      875       7.6      215
Chittenden, VT...........           7.2          91.0     -12.8       288    1,192      14.6       12
Arlington, VA............           9.1         170.3      -8.9       173    1,926      12.2       40
Chesterfield, VA.........           9.4         128.8      -6.9        95      966       6.7      260
Fairfax, VA..............          36.9         576.7      -8.1       143    1,776       8.0      193

Henrico, VA..............          11.8         173.9     -10.8       237    1,112       8.5      159
Loudoun, VA..............          13.0         158.4     -12.1       269    1,362      12.6       30
Prince William, VA.......           9.7         122.2     -11.0       244    1,048      11.7       52
Alexandria City, VA......           6.2          81.1     -11.8       262    1,610      10.1      101
Chesapeake City, VA......           6.3          96.9      -7.0       103      904       7.2      234
Newport News City, VA....           4.0          97.0      -7.2       111    1,090       5.8      290
Norfolk City, VA.........           6.1         128.9      -9.9       202    1,188       8.4      167
Richmond City, VA........           8.0         140.6     -10.5       226    1,308      12.5       33
Virginia Beach City, VA..          12.4         164.5     -10.4       224      924      10.4       94
Benton, WA...............           6.1          87.4      -9.9       202    1,147       5.8      290

Clark, WA................          15.7         152.4      -8.4       152    1,122       7.3      229
King, WA.................          90.3       1,312.9      -8.9       173    1,945      13.9       18
Kitsap, WA...............           7.0          86.2      -6.8        93    1,137       7.7      209
Pierce, WA...............          23.7         292.9      -8.1       143    1,090       6.0      285
Snohomish, WA............          22.1         268.5      -8.9       173    1,262       6.9      250
Spokane, WA..............          16.9         214.9      -7.6       126    1,007       6.1      279
Thurston, WA.............           8.8         110.3      -7.4       117    1,117       8.7      151
Whatcom, WA..............           7.6          83.8     -10.2       217    1,007       6.4      269
Yakima, WA...............           8.0         117.0      -8.0       138      829       7.2      234
Kanawha, WV..............           5.6          88.6      -9.5       190      954       3.6      334

Brown, WI................           7.3         148.0      -8.0       138    1,007       7.5      219
Dane, WI.................          16.3         317.9      -9.0       176    1,231      12.4       36
Milwaukee, WI............          27.5         437.9     -11.0       244    1,108       8.0      193
Outagamie, WI............           5.6         102.3      -8.2       146      988       6.9      250
Racine, WI...............           4.7          70.3      -8.6       162      960       5.5      302
Waukesha, WI.............          13.8         231.5      -8.0       138    1,145       7.5      219
Winnebago, WI............           4.0          87.8      -6.5        81    1,033      -2.6      354
San Juan, PR.............          10.9         213.4     -10.7       (5)      681       6.2      (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 72.9 percent of
the total covered workers in the U.S.




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

                                                                    Employment         Average weekly
                                                                                           wage(1)
                                              Establishments,
                                               second quarter
         County by NAICS supersector                2020                    Percent            Percent
                                                (thousands)       June      change,   Second   change,
                                                                  2020       June     quarter  second
                                                              (thousands) 2019-20(2)   2020    quarter
                                                                                             2019-20(2)


United States(3) ............................      10,451.0     135,114.4      -9.4   $1,188       8.6
  Private industry...........................      10,148.9     114,475.9     -10.1    1,179       8.7
    Natural resources and mining.............         140.4       1,854.0     -10.1    1,087      -2.2
    Construction.............................         844.6       7,269.3      -4.9    1,215       1.2
    Manufacturing............................         358.0      11,965.4      -7.2    1,331       2.6
    Trade, transportation, and utilities.....       1,946.3      25,726.3      -6.1      979       5.8
    Information..............................         195.4       2,597.7     -10.1    2,444      12.7
    Financial activities.....................         939.4       8,121.3      -2.9    1,757       7.1
    Professional and business services.......       1,963.0      19,711.7      -7.4    1,521       6.4
    Education and health services............       1,857.3      21,580.9      -6.5    1,027       5.1
    Leisure and hospitality..................         887.7      11,755.1     -31.2      463      -0.9
    Other services...........................         817.7       3,729.8     -18.3      862      13.6
  Government.................................         302.0      20,638.4      -5.5    1,237       7.6

Los Angeles, CA..............................         518.8       3,945.3     -12.2    1,333       8.9
  Private industry...........................         512.4       3,389.2     -13.2    1,294       8.9
    Natural resources and mining.............           0.6           6.3       4.1    1,048      -6.2
    Construction.............................          17.6         146.0      -2.8    1,342       3.5
    Manufacturing............................          12.6         310.5      -9.0    1,491       7.0
    Trade, transportation, and utilities.....          59.8         746.7     -10.2    1,067       6.1
    Information..............................          13.8         152.1     -22.2    2,759       9.1
    Financial activities.....................          31.2         205.9      -6.6    2,036       5.8
    Professional and business services.......          58.4         566.8     -10.4    1,613       6.9
    Education and health services............         247.8         785.6      -4.4      961       5.4
    Leisure and hospitality..................          40.7         355.2     -36.0      752       9.0
    Other services...........................          29.8         114.0     -25.7      951      22.2
  Government.................................           6.4         556.1      -5.5    1,562       6.9

Cook, IL.....................................         138.4       2,297.3     -13.1    1,372       9.6
  Private industry...........................         137.2       2,023.6     -13.7    1,359       9.4
    Natural resources and mining.............           0.1           1.7      13.6    1,217       0.2
    Construction.............................          11.1          71.8      -9.9    1,545       2.3
    Manufacturing............................           5.6         173.7      -7.1    1,271       0.3
    Trade, transportation, and utilities.....          28.3         425.3      -9.5    1,101       5.1
    Information..............................           2.6          49.4      -7.5    2,276       8.5
    Financial activities.....................          14.2         201.9      -3.0    2,305       5.4
    Professional and business services.......          29.1         431.8     -10.8    1,651       5.4
    Education and health services............          16.0         418.8      -7.4    1,092       7.9
    Leisure and hospitality..................          13.8         165.3     -46.2      557      -4.0
    Other services...........................          15.6          83.7     -16.7    1,109      14.6
  Government.................................           1.3         273.7      -8.3    1,467      10.2

New York, NY.................................         131.1       2,048.7     -18.8    2,427      14.9
  Private industry...........................         129.7       1,818.4     -20.7    2,516      16.6
    Natural resources and mining.............           0.0           0.2      14.6    2,374     -20.0
    Construction.............................           2.4          35.5     -17.0    1,960      -0.9
    Manufacturing............................           1.8          13.8     -37.7    1,860      23.7
    Trade, transportation, and utilities.....          18.3         178.1     -30.2    1,714      10.6
    Information..............................           5.8         167.1     -14.9    3,232      13.1
    Financial activities.....................          19.6         380.3      -4.0    3,960       6.1
    Professional and business services.......          29.3         527.5     -11.5    2,557       5.8
    Education and health services............          10.3         325.6      -9.0    1,588       9.5
    Leisure and hospitality..................          14.5         107.0     -66.1    1,109      15.5
    Other services...........................          19.9          79.1     -26.6    1,596      23.1
  Government.................................           1.5         230.3      -0.6    1,727       3.1

Harris, TX...................................         119.2       2,179.4      -7.3    1,352       3.4
  Private industry...........................         118.7       1,901.4      -8.4    1,365       3.3
    Natural resources and mining.............           1.6          55.7     -18.2    3,304       5.9
    Construction.............................           7.9         155.4      -9.2    1,403       0.6
    Manufacturing............................           4.9         164.8      -8.9    1,597       0.4
    Trade, transportation, and utilities.....          25.3         444.2      -5.1    1,197       0.6
    Information..............................           1.3          22.9     -13.9    1,637       8.8
    Financial activities.....................          12.9         125.2      -3.6    1,764       3.5
    Professional and business services.......          24.1         387.4      -6.5    1,668       1.6
    Education and health services............          17.2         290.5      -3.9    1,105       3.0
    Leisure and hospitality..................          10.8         192.6     -21.7      459      -8.4
    Other services...........................          11.6          60.5     -12.1      902       4.4
  Government.................................           0.6         278.0       1.0    1,266       6.3

Maricopa, AZ.................................         110.7       1,924.6      -4.6    1,137       7.7
  Private industry...........................         110.0       1,751.2      -4.1    1,125       7.6
    Natural resources and mining.............           0.5           7.8      -4.9    1,050       2.4
    Construction.............................           8.8         131.7       0.1    1,195       3.0
    Manufacturing............................           3.5         128.1      -1.7    1,535       2.5
    Trade, transportation, and utilities.....          21.6         385.3      -0.1    1,018       5.7
    Information..............................           2.4          33.9     -13.2    1,755      21.5
    Financial activities.....................          14.6         191.4       1.9    1,509      11.4
    Professional and business services.......          28.0         333.7      -3.7    1,174       4.4
    Education and health services............          13.9         314.4      -1.4    1,052       3.3
    Leisure and hospitality..................           9.3         178.3     -20.7      510      -3.4
    Other services...........................           7.2          46.6     -12.4      846       7.4
  Government.................................           0.7         173.4      -9.6    1,240       8.2

Dallas, TX...................................          80.2       1,623.5      -5.8    1,361       4.5
  Private industry...........................          79.7       1,452.7      -6.2    1,366       4.4
    Natural resources and mining.............           0.5           7.8     -10.0    2,468      -1.6
    Construction.............................           5.0          89.5      -5.1    1,332       2.5
    Manufacturing............................           2.8         114.1      -3.7    1,484      -1.8
    Trade, transportation, and utilities.....          16.2         340.0      -2.0    1,199       3.5
    Information..............................           1.5          44.2      -6.4    2,070       4.9
    Financial activities.....................          10.0         157.9      -1.1    1,881       2.0
    Professional and business services.......          18.5         341.2      -5.0    1,569       1.6
    Education and health services............          10.0         193.7      -4.2    1,169       1.2
    Leisure and hospitality..................           7.3         126.6     -24.5      525       1.2
    Other services...........................           7.2          36.4     -18.5    1,011      12.7
  Government.................................           0.5         170.8      -1.4    1,317       6.0

Orange, CA...................................         130.0       1,442.0     -12.7    1,334      11.4
  Private industry...........................         128.6       1,298.2     -13.1    1,317      11.6
    Natural resources and mining.............           0.2           2.2      -5.6      925       1.1
    Construction.............................           8.0         101.2      -5.3    1,469       1.4
    Manufacturing............................           5.3         146.4      -8.5    1,641       8.0
    Trade, transportation, and utilities.....          18.7         231.0      -9.2    1,144       7.7
    Information..............................           1.6          23.0     -10.8    2,278      13.9
    Financial activities.....................          13.4         112.4      -3.8    2,078      12.5
    Professional and business services.......          24.3         293.3      -9.5    1,511       9.5
    Education and health services............          39.1         211.4      -5.8    1,002       4.3
    Leisure and hospitality..................           9.9         139.4     -39.7      504      -7.0
    Other services...........................           7.9          37.9     -21.5      853      14.5
  Government.................................           1.4         143.9      -8.4    1,473       7.2

San Diego, CA................................         118.2       1,325.1     -11.2    1,315      10.6
  Private industry...........................         116.3       1,101.6     -12.0    1,269      11.0
    Natural resources and mining.............           0.7          10.1      -2.4      785       1.8
    Construction.............................           8.2          80.9      -2.5    1,332       4.4
    Manufacturing............................           3.6         112.5      -4.6    1,662       3.9
    Trade, transportation, and utilities.....          15.5         199.4      -9.4      991      10.6
    Information..............................           1.4          21.2     -10.0    2,037       0.9
    Financial activities.....................          11.5          72.6      -4.3    1,693      10.8
    Professional and business services.......          21.8         237.1      -5.8    1,740       5.4
    Education and health services............          35.9         197.4      -5.9    1,018       5.2
    Leisure and hospitality..................           9.3         132.5     -35.8      519      -5.5
    Other services...........................           8.3          37.8     -29.3      765      18.6
  Government.................................           2.0         223.5      -6.8    1,527       6.9

King, WA.....................................          90.3       1,312.9      -8.9    1,945      13.9
  Private industry...........................          89.6       1,145.2      -9.6    2,000      14.7
    Natural resources and mining.............           0.4           2.9     -11.8    1,321      -5.4
    Construction.............................           6.9          70.9      -7.3    1,422      -4.2
    Manufacturing............................           2.5          94.9     -10.4    1,773       4.4
    Trade, transportation, and utilities.....          13.4         263.6      -4.2    2,190      11.8
    Information..............................           2.7         127.5       4.4    4,319      14.4
    Financial activities.....................           7.2          67.2      -3.2    2,034      12.2
    Professional and business services.......          19.0         226.5      -4.2    2,027       7.7
    Education and health services............          21.0         167.5      -6.6    1,142       2.1
    Leisure and hospitality..................           7.3          85.4     -42.7      594      -6.9
    Other services...........................           9.2          38.9     -20.7    1,055      11.1
  Government.................................           0.6         167.7      -3.8    1,579       9.0

Miami-Dade, FL...............................         105.6       1,036.8      -9.3    1,109       5.5
  Private industry...........................         105.3         913.8     -10.1    1,082       5.0
    Natural resources and mining.............           0.5           8.9       3.9      726       6.3
    Construction.............................           7.2          52.0      -0.9    1,052       1.3
    Manufacturing............................           2.8          39.7      -4.6      950       1.2
    Trade, transportation, and utilities.....          24.5         262.0      -9.0      994       4.2
    Information..............................           1.6          16.7     -12.4    1,812       4.4
    Financial activities.....................          11.4          74.0      -3.0    1,681       5.0
    Professional and business services.......          24.5         153.6      -6.3    1,282      -1.5
    Education and health services............          12.8         177.0      -3.8    1,050       3.3
    Leisure and hospitality..................           7.7          95.8     -33.4      615      -3.5
    Other services...........................           8.1          32.1     -16.9      732       7.6
  Government.................................           0.3         122.9      -2.7    1,289       6.7

(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,
second quarter 2020

                                                  Employment        Average weekly
                                                                        wage(1)
                            Establishments,
                             second quarter
            State                 2020                    Percent           Percent
                              (thousands)       June      change,  Second   change,
                                                2020       June    quarter  second
                                            (thousands)   2019-20    2020   quarter
                                                                            2019-20


United States(2)...........      10,451.0     135,114.4      -9.4   $1,188      8.6

Alabama....................         131.2       1,868.7      -6.4      964      5.9
Alaska.....................          22.7         296.2     -12.7    1,195     11.2
Arizona....................         170.7       2,708.4      -5.1    1,090      7.9
Arkansas...................          93.0       1,156.5      -5.5      924      7.3
California.................       1,633.1      15,911.2     -10.2    1,468     10.9
Colorado...................         216.4       2,545.9      -8.0    1,226      8.7
Connecticut................         123.4       1,483.6     -12.3    1,407     11.3
Delaware...................          34.5         416.0      -9.3    1,156      9.0
District of Columbia.......          41.7         701.8     -10.0    1,987     11.7
Florida....................         738.0       8,113.8      -7.1    1,032      6.6

Georgia....................         307.2       4,196.0      -7.0    1,075      5.7
Hawaii.....................          45.9         524.9     -20.1    1,108     12.0
Idaho......................          67.9         748.3      -2.3      882      7.6
Illinois...................         379.6       5,391.8     -11.3    1,218      8.6
Indiana....................         171.6       2,865.7      -7.3      960      5.6
Iowa.......................         104.7       1,458.8      -8.0      978      8.4
Kansas.....................          90.0       1,306.0      -7.0      969      7.1
Kentucky...................         125.4       1,754.0      -8.2      970      6.4
Louisiana..................         137.8       1,710.1     -11.0      985      6.7
Maine......................          53.8         572.5     -10.8      980     12.3

Maryland...................         175.8       2,430.3     -11.2    1,305     10.7
Massachusetts..............         263.1       3,178.8     -14.3    1,570     14.0
Michigan...................         268.5       3,850.9     -12.9    1,114      9.5
Minnesota..................         185.4       2,644.6     -10.5    1,200      9.0
Mississippi................          73.8       1,063.1      -6.4      812      5.9
Missouri...................         215.9       2,622.2      -7.5    1,015      7.1
Montana....................          51.5         459.5      -4.9      919      9.1
Nebraska...................          72.9         932.3      -6.0      960      8.0
Nevada.....................          85.9       1,191.6     -15.4    1,048      9.1
New Hampshire..............          54.8         605.4     -10.5    1,215     11.5

New Jersey.................         284.1       3,570.3     -14.6    1,376     11.3
New Mexico.................          62.4         757.0      -9.4      958      7.8
New York...................         652.0       8,142.6     -15.9    1,520     12.8
North Carolina.............         296.2       4,205.4      -6.9    1,038      6.9
North Dakota...............          32.4         390.1      -9.7    1,061      3.3
Ohio.......................         302.3       5,049.8      -8.0    1,031      7.0
Oklahoma...................         112.1       1,521.3      -6.3      940      4.4
Oregon.....................         160.9       1,789.3      -9.6    1,143     10.3
Pennsylvania...............         362.8       5,314.5     -11.1    1,170      9.2
Rhode Island...............          39.5         429.3     -13.2    1,172     13.1

South Carolina.............         144.4       1,991.0      -7.2      928      6.9
South Dakota...............          34.7         415.9      -5.9      912      9.0
Tennessee..................         171.1       2,847.2      -6.6    1,016      5.3
Texas......................         727.4      11,807.1      -6.3    1,156      5.0
Utah.......................         111.6       1,474.8      -3.0    1,017      9.1
Vermont....................          26.1         271.8     -13.6    1,055     13.6
Virginia...................         283.3       3,635.2      -8.8    1,218      9.4
Washington.................         253.8       3,207.1      -8.4    1,424     10.6
West Virginia..............          51.3         634.9      -9.4      933      4.9
Wisconsin..................         179.2       2,690.0      -8.7    1,014      8.0

Wyoming....................          27.2         260.5      -9.6      965      3.7

Puerto Rico................          46.1         798.7      -7.9      556      4.7
Virgin Islands.............           3.4          35.4      -7.0    1,016      6.9

(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: November 18, 2020