Department of Labor Logo United States Department of Labor
Dot gov

The .gov means it's official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you're on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Economic News Release
PRINT:Print
LAU LAU Program Links
SAE SAE Program Links

Metropolitan Area Employment and Unemployment (Monthly) News Release

For release 10:00 a.m. (ET) Wednesday, July 29, 2020			  USDL-20-1464

Technical information:
 Employment:	sminfo@bls.gov  *  www.bls.gov/sae
 Unemployment:	lausinfo@bls.gov  *  www.bls.gov/lau
	
Media contact:	(202) 691-5902  *  PressOffice@bls.gov


        METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT -- JUNE 2020


Unemployment rates were higher in June than a year earlier in 388 of the 389
metropolitan areas and lower in 1 area, the U.S. Bureau of Labor Statistics
reported today. A total of 218 areas had jobless rates of less than 10.0
percent and 6 areas had rates of at least 20.0 percent. Nonfarm payroll
employment decreased over the year in 307 metropolitan areas and was essentially
unchanged in 82 areas. The national unemployment rate in June was 11.2 percent,
not seasonally adjusted, up from 3.8 percent a year earlier.

This news release presents statistics from two monthly programs. The civilian
labor force and unemployment data are based on the same concepts and definitions
as those used for the national household survey estimates. These data pertain
to individuals by where they reside. The employment data are from an establishment
survey that measures nonfarm employment, hours, and earnings by industry. These
data pertain to jobs on payrolls defined by where the establishments are located.
For more information about the concepts and statistical methodologies used by
these two programs, see the Technical Note.

Metropolitan Area Unemployment (Not Seasonally Adjusted)

Atlantic City-Hammonton, NJ, had the highest unemployment rate in June, 34.3
percent. Logan, UT-ID, and Idaho Falls, ID, had the lowest unemployment rates,
3.5 percent and 3.6 percent, respectively. A total of 267 areas had June jobless
rates below the U.S. rate of 11.2 percent, 116 areas had rates above it, and
6 areas had rates equal to that of the nation. (See table 1.)

The largest over-the-year unemployment rate increase occurred in Atlantic City-
Hammonton, NJ (+29.9 percentage points). Rates rose over the year by at least
10.0 percentage points in an additional 31 areas. Owensboro, KY, was the only
area with an unemployment rate decline relative to June 2019, however slight
(-0.2 percentage point).

Of the 51 metropolitan areas with a 2010 Census population of 1 million or more,
Los Angeles-Long Beach-Anaheim, CA, and Las Vegas-Henderson-Paradise, NV, had
the highest unemployment rates in June, 18.1 percent and 18.0 percent, respectively.
Salt Lake City, UT, had the lowest jobless rate among the large areas, 6.2 percent,
followed by Louisville/Jefferson County, KY-IN, 6.4 percent. All 51 large areas
had over-the-year unemployment rate increases, the largest of which were in Boston-
Cambridge-Nashua, MA-NH, and Los Angeles-Long Beach-Anaheim, CA (+14.0 percentage
points each). The smallest rate increase occurred in Louisville/Jefferson County,
KY-IN (+2.2 percentage points).

Metropolitan Division Unemployment (Not Seasonally Adjusted)

Eleven of the most populous metropolitan areas are made up of 38 metropolitan
divisions, which are essentially separately identifiable employment centers.
In June, Lawrence-Methuen Town-Salem, MA-NH, had the highest unemployment rate
among the divisions, 23.4 percent. Silver Spring-Frederick-Rockville, MD, had
the lowest division rate, 8.0 percent. (See table 2.)

In June, all 38 metropolitan divisions had over-the-year unemployment rate increases,
the largest of which was in Lawrence-Methuen Town-Salem, MA-NH (+19.2 percentage
points). The smallest rate increases occurred in Silver Spring-Frederick-Rockville,
MD (+4.7 percentage points), and Dallas-Plano-Irving, TX (+4.8 points).

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted)

In June, 307 metropolitan areas had over-the-year decreases in nonfarm payroll
employment and 82 were essentially unchanged. The largest over-the-year employment
decreases occurred in New York-Newark-Jersey City, NY-NJ-PA (-1,549,100),
Los Angeles-Long Beach-Anaheim, CA (-650,400), and Chicago-Naperville-Elgin, IL-IN-WI
(-466,800). The largest over-the-year percentage losses in employment occurred in
Atlantic City-Hammonton, NJ (-29.2 percent), Ocean City, NJ (-28.7 percent), and
Kahului-Wailuku-Lahaina, HI (-26.5 percent). (See table 3.)

Over the year, nonfarm employment declined in all of the 51 metropolitan areas with
a 2010 Census population of 1 million or more. The largest over-the-year percentage
decreases in employment in these large metropolitan areas occurred in New York-
Newark-Jersey City, NY-NJ-PA (-15.4 percent), Boston-Cambridge-Nashua, MA-NH (-14.0
percent), and Las Vegas-Henderson-Paradise, NV (-13.8 percent). 

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted)

In June, nonfarm payroll employment decreased in all of the 38 metropolitan divisions
over the year. The largest over-the-year decrease in employment among the metropolitan
divisions occurred in New York-Jersey City-White Plains, NY-NJ (-1,148,300), followed
by Los Angeles-Long Beach-Glendale, CA (-457,400), and Chicago-Naperville-Arlington
Heights, IL (-366,300). (See table 4.)

The largest over-the-year percentage decreases in employment occurred in Haverhill-
Newburyport-Amesbury Town, MA-NH (-16.9 percent), Lynn-Saugus-Marblehead, MA (-15.9
percent), and Lawrence-Methuen Town-Salem, MA-NH (-15.8 percent). 

_____________
The State Employment and Unemployment news release for July is scheduled to be
released on Friday, August 21, 2020, at 10:00 a.m. (ET). The Metropolitan Area
Employment and Unemployment news release for July is scheduled to be released
on Wednesday, September 2, 2020, at 10:00 a.m. (ET).
 
 
 _________________________________________________________________________________
|										  |
|              Coronavirus (COVID-19) Pandemic Impact on June 2020		  |
|                    Establishment and Household Survey Data			  |
|										  |
| BLS has continued to review all estimation and methodological procedures for    |
| the establishment survey, which included the review of data, estimation	  |
| processes, the application of the birth-death model, and seasonal adjustment.	  |
| Business births and deaths cannot be adequately captured by the establishment	  |
| survey as they occur. Therefore, the Current Employment Statistics (CES)	  |
| program uses a model to account for the relatively stable net employment 	  |
| change generated by business births and deaths. Due to the impact of COVID-19,  |
| the relationship between business births and deaths is no longer stable.	  |
| Typically, reports with zero employment are not included in estimation. For the |
| May final and June preliminary estimates, CES included a portion of these	  |
| reports in the estimates and made modifications to the birth-death model. In	  |
| addition for both months, the establishment survey included a portion of the	  |
| reports that returned to reporting positive employment from reporting zero	  |
| employment. For more information, see www.bls.gov/web/empsit/cesbd.htm.	  |
| 										  |
| In the establishment survey, workers who are paid by their employer for all or  |
| any part of the pay period including the 12th of the month are counted as	  |
| employed, even if they were not actually at their jobs. Workers who are	  |
| temporarily or permanently absent from their jobs and are not being paid are	  |
| not counted as employed, even if they are continuing to receive benefits. The	  |
| length of the reference period does vary across the respondents in the	  |
| establishment survey; one-third of businesses have a weekly pay period,         |
| slightly over 40 percent a bi-weekly, about 20 percent semi-monthly, and a      |
| small amount monthly.								  |
|										  |
| For the June 2020 estimates of household employment and unemployment from the	  |
| Local Area Unemployment Statistics (LAUS) program, BLS continued to implement	  |
| level-shift outliers in the employment and/or unemployment inputs to the models,|
| based on statistical evaluation of movements in each area's inputs. Both the    |
| Current Population Survey inputs, which serve as the primary inputs to the LAUS |
| models, and the nonfarm payroll employment and unemployment insurance claims    |
| covariates were examined for outliers. The resulting implementation of level    |
| shifts preserved movements in the published estimates that the models otherwise |
| would have discounted, without requiring changes to how the models create       |
| estimates at other points in the time series.					  |
|										  |
| The "Frequently asked questions" document at 					  |
| www.bls.gov/cps/employment-situation-covid19-faq-june-2020.pdf extensively	  |
| discusses the impact of a misclassification in the household survey on the 	  |
| national estimates for June 2020. Despite the considerable decline in its       |
| degree relative to prior months, this misclassification continued to be         |
| widespread geographically, with BLS analysis indicating that most states again  |
| were affected to at least some extent. However, according to usual practice,    |
| the data from the household survey are accepted as recorded. To maintain data   |
| integrity, no ad hoc actions are taken to reclassify survey responses. Hence,   |
| the household survey estimates of employed and unemployed people that serve as  |
| the primary inputs to the state models were affected to varying degrees by the  |
| misclassification, which in turn affected the official LAUS estimates for June  |
| 2020. Similar misclassifications had occurred in the household survey for       |
| March (see www.bls.gov/cps/employment-situation-covid19-faq-march-2020.pdf),    |
| April (see www.bls.gov/covid19/employment-situation-covid19-faq-april-2020.htm),|
| and May (see www.bls.gov/covid19/employment-situation-covid19-faq-may-2020.htm).|
|										  |
| Household data for substate areas are controlled to the employment and	  |
| unemployment totals for their respective model-based areas. Hence, the	  |
| preliminary June and revised May estimates for substate areas reflect the use	  |
| of level-shift outliers, where implemented, in the inputs for their model-based |
| control areas. The substate area estimates for both months also were impacted	  |
| by misclassification in the household survey, in proportion to the impacts of	  |
| the misclassifications on the data for their model-based control areas.	  |
|										  |
| Household data for Puerto Rico are not modeled, but rather are derived from a	  |
| monthly household survey similar to the Current Population Survey. Due to the	  |
| effects of the pandemic and efforts to contain the virus, Puerto Rico had not	  |
| been able to conduct its household survey for March or April 2020. Data	  |
| collection resumed effective May 2020, and BLS resumed publication of data for  |
| Puerto Rico beginning with the State Employment and Unemployment news release	  |
| for June 2020 on July 17, 2020. BLS is resuming publication of data for Puerto  |
| Rico's local areas beginning with this news release. The Puerto Rico Department |
| of Labor reported a misclassification in its household survey for May and June  |
| similar in nature to the misclassification in the Current Population Survey,	  |
| which affected the local area data proportionally.				  |
|_________________________________________________________________________________|




Technical Note
 
   This news release presents civilian labor force and unemployment data from the
Local Area Unemployment Statistics (LAUS) program (tables 1 and 2) for 389
metropolitan statistical areas and metropolitan New England City and Town Areas
(NECTAs), plus 7 areas in Puerto Rico. Estimates for 38 metropolitan and NECTA
divisions also are presented. Nonfarm payroll employment estimates from the
Current Employment Statistics (CES) program (tables 3 and 4) are provided for
the same areas. State estimates were previously published in the news release
State Employment and Unemployment, and are republished in this news release for
ease of reference. The LAUS and CES programs are both federal-state cooperative
endeavors.

Civilian labor force and unemployment--from the LAUS program

   Definitions. The civilian labor force and unemployment data are based on the
same concepts and definitions as those used for the official national estimates
obtained from the Current Population Survey (CPS), a sample survey of households
that is conducted for the Bureau of Labor Statistics (BLS) by the U.S. Census
Bureau. The LAUS program measures employed persons and unemployed persons on a
place-of-residence basis.  The universe for each is the civilian noninstitutional
population 16 years of age and older. Employed persons are those who did any work
at all for pay or profit in the reference week (typically the week including the
12th of the month) or worked 15 hours or more without pay in a family business or
farm, plus those not working who had a job from which they were temporarily absent,
whether or not paid, for such reasons as labor-management dispute, illness, or
vacation. Unemployed persons are those who were not employed during the reference
week (based on the definition above), had actively looked for a job sometime in the
4-week period ending with the reference week, and were currently available for work;
persons on layoff expecting recall need not be looking for work to be counted as
unemployed. The civilian labor force is the sum of employed and unemployed persons.
The unemployment rate is the number of unemployed as a percent of the civilian labor
force.

   Method of estimation. Estimates for states, the District of Columbia, the Los
Angeles-Long Beach-Glendale metropolitan division, and New York City are produced
using time-series models with real-time benchmarking to national CPS totals. Model-
based estimates are also produced for the following areas and their respective
balances: the Chicago-Naperville-Arlington Heights, IL Metropolitan Division;
Cleveland-Elyria, OH Metropolitan Statistical Area; Detroit-Warren-Dearborn, MI
Metropolitan Statistical Area; Miami-Miami Beach-Kendall, FL Metropolitan Division;
and Seattle-Bellevue-Everett, WA Metropolitan Division. Modeling improves the
statistical basis of the estimation for these areas and provides important tools
for analysis, such as measures of errors and seasonally adjusted series. For all
other substate areas in this news release, estimates are prepared through indirect
estimation procedures using a building-block approach.  Estimates of employed
persons, which are based largely on “place of work” estimates from the CES program,
are adjusted to refer to place of residence as used in the CPS. Unemployment
estimates are aggregates of persons previously employed in industries covered by
state unemployment insurance (UI) laws and entrants to the labor force from the
CPS. The substate estimates of employment and unemployment, which geographically
exhaust the entire state, are adjusted proportionally to ensure that they add to
the independently estimated model-based area totals. A detailed description of the
estimation procedures is available from BLS upon request.

   Annual revisions. Civilian labor force and unemployment data shown for the prior
year reflect adjustments made at the beginning of each year, usually implemented with
the issuance of January estimates. The adjusted model-based estimates typically reflect
updated population data from the U.S. Census Bureau, any revisions in other input
data sources, and model re-estimation. All substate estimates then are re-estimated
using updated inputs and adjusted to add to the revised model-based totals.  In early
2015, a new generation of time-series models was implemented, resulting in the
replacement of data back to the series beginnings. At the same time, enhancements were
made to the substate estimation methodology, and more timely inputs from the American
Community Survey were incorporated.

Employment--from the CES program 

   Definitions. Employment data refer to persons on establishment payrolls who receive
pay for any part of the pay period that includes the 12th of the month. Persons are
counted at their place of work rather than at their place of residence; those appearing
on more than one payroll are counted on each payroll. Industries are classified on the
basis of their principal activity in accordance with the 2017 version of the North
American Industry Classification System.

   Method of estimation. CES State and Area employment data are produced using several
estimation procedures. Where possible these data are produced using a "weighted link
relative" estimation technique in which a ratio of current-month weighted employment
to that of the previous-month weighted employment is computed from a sample of
establishments reporting for both months. The estimates of employment for the current
month are then obtained by multiplying these ratios by the previous month's employment
estimates. The weighted link relative technique is utilized for data series where the
sample size meets certain statistical criteria.

   For some employment series, the sample of establishments is very small or highly
variable. In these cases, a model-based approach is used in estimation. These models
use the direct sample estimates (described above), combined with forecasts of historical
(benchmarked) data to decrease volatility in estimation. Two different models
(Fay-Herriot Model and Small Domain Model) are used depending on the industry level
being estimated. For more detailed information about each model, refer to the BLS
Handbook of Methods.

   Annual revisions.  Employment estimates are adjusted annually to a complete count
of jobs, called benchmarks, derived principally from tax reports that are submitted by
employers who are covered under state unemployment insurance (UI) laws. The benchmark
information is used to adjust the monthly estimates between the new benchmark and the
preceding one and also to establish the level of employment for the new benchmark month.
Thus, the benchmarking process establishes the level of employment, and the sample is used
to measure the month-to-month changes in the level for the subsequent months.

   Seasonal adjustment. Payroll employment data are seasonally adjusted for states,
metropolitan areas, and metropolitan divisions at the total nonfarm level. For states,
data are seasonally adjusted at the supersector level as well. Revisions to historical
data for the most recent 5 years are made once a year, coincident with annual benchmark
adjustments.

   Payroll employment data are seasonally adjusted concurrently, using all available
estimates including those for the current month, to develop sample-based seasonal factors.
Concurrent sample-based factors are created every month for the current month's preliminary
estimate as well as the previous month's final estimate in order to incorporate real-time
estimates. 

Reliability of the estimates

   The estimates presented in this news release are based on sample surveys, administrative data,
and modeling and, thus, are subject to sampling and other types of errors. Sampling error
is a measure of sampling variability—that is, variation that occurs by chance because a
sample rather than the entire population is surveyed. Survey data also are subject to
nonsampling errors, such as those which can be introduced into the data collection and
processing operations. Estimates not directly derived from sample surveys are subject to
additional errors resulting from the specific estimation processes used. The sums of
individual items may not always equal the totals shown in the same tables because of
rounding.

Use of error measures

   Civilian labor force and unemployment estimates. Measures of sampling error are not
available for metropolitan areas or metropolitan divisions. Model-based error measures for
states are available on the BLS website at www.bls.gov/laus/lastderr.htm. Measures of
nonsampling error are not available for the areas contained in this news release. Information
on recent data revisions for states and local areas is available online at
www.bls.gov/lau/launews1.htm.

   Employment estimates. Changes in metropolitan area nonfarm payroll employment are cited
in the analysis of this news release only if they have been determined to be statistically
significant at the 90-percent confidence level.  Measures of sampling error for the total
nonfarm employment series are available for metropolitan areas and metropolitan divisions
at www.bls.gov/web/laus/790stderr.htm. Measures of sampling error for more detailed series
at the area and division level are available upon request. Measures of sampling error for
states  at the supersector level and for the private service-providing, goods-producing,
total private and total nonfarm levels are available on the BLS website at 
www.bls.gov/web/laus/790stderr.htm. Information on recent benchmark revisions
is available online at www.bls.gov/web/laus/benchmark.pdf.

Area definitions

   The substate area data published in this news release reflect the delineations issued by the
U.S. Office of Management and Budget on April 10, 2018. Data reflect New England City and
Town Area (NECTA) definitions, rather than county-based definitions, in the six New England
States. A detailed list of the geographic definitions is available online at
www.bls.gov/lau/lausmsa.htm.

Additional information

   Estimates of unadjusted and seasonally adjusted civilian labor force and unemployment
data for states and seven substate areas are available in the news release State Employment
and Unemployment. Estimates of civilian labor force and unemployment for all states,
metropolitan areas, counties, cities with a population of 25,000 or more, and other areas
used in the administration of various federal economic assistance programs are available
on the Internet at www.bls.gov/lau/. Employment data from the CES program are available on
the BLS website at www.bls.gov/sae/.

   Information in this news release will be made available to sensory impaired individuals
upon request. Voice phone: (202) 691-5200; Federal Relay Service: (800) 877-8339. 




LABOR FORCE DATA
NOT SEASONALLY ADJUSTED

Table 1. Civilian labor force and unemployment by state and metropolitan area
State and area Civilian labor force Unemployed
May June Number Percent of labor force
2019 2020 2019 2020(p) May June May June
2019 2020 2019 2020(p) 2019 2020 2019 2020(p)

Alabama

2,232,314 2,235,610 2,246,030 2,204,545 55,339 204,935 73,570 176,036 2.5 9.2 3.3 8.0

Anniston-Oxford-Jacksonville

46,092 45,149 46,355 44,212 1,363 5,220 1,784 4,147 3.0 11.6 3.8 9.4

Auburn-Opelika

75,563 76,186 75,926 72,187 1,713 6,553 2,327 5,330 2.3 8.6 3.1 7.4

Birmingham-Hoover

550,714 552,047 554,770 541,980 12,333 46,885 16,372 40,749 2.2 8.5 3.0 7.5

Daphne-Fairhope-Foley

98,311 96,285 99,811 98,279 2,182 9,037 2,799 7,176 2.2 9.4 2.8 7.3

Decatur

72,232 69,500 72,755 69,193 1,571 5,282 2,147 4,401 2.2 7.6 3.0 6.4

Dothan

63,836 62,324 64,481 62,391 1,636 4,845 2,146 4,403 2.6 7.8 3.3 7.1

Florence-Muscle Shoals

66,144 65,011 66,072 64,208 1,897 6,545 2,556 5,056 2.9 10.1 3.9 7.9

Gadsden

42,724 41,743 42,958 40,996 1,171 5,053 1,595 3,952 2.7 12.1 3.7 9.6

Huntsville

228,208 225,244 228,912 222,645 4,835 16,567 6,548 14,205 2.1 7.4 2.9 6.4

Mobile

187,604 190,718 189,001 187,724 5,796 23,140 7,554 21,591 3.1 12.1 4.0 11.5

Montgomery

173,611 173,561 173,806 170,538 4,234 17,815 5,523 16,190 2.4 10.3 3.2 9.5

Tuscaloosa

117,726 120,602 117,757 114,818 2,883 13,038 3,902 10,432 2.4 10.8 3.3 9.1

Alaska

348,619 334,106 355,191 350,583 21,029 41,953 22,261 43,062 6.0 12.6 6.3 12.3

Anchorage

194,629 187,902 194,887 195,626 10,688 23,469 11,328 23,910 5.5 12.5 5.8 12.2

Fairbanks

44,943 43,026 44,424 43,854 2,378 4,415 2,420 4,580 5.3 10.3 5.4 10.4

Arizona

3,514,657 3,541,208 3,542,293 3,499,212 161,415 310,463 178,750 359,509 4.6 8.8 5.0 10.3

Flagstaff

76,964 70,186 78,032 70,333 3,874 8,238 4,594 9,338 5.0 11.7 5.9 13.3

Lake Havasu City-Kingman

87,815 88,464 88,783 85,201 4,793 12,077 5,233 10,882 5.5 13.7 5.9 12.8

Phoenix-Mesa-Scottsdale

2,468,113 2,499,631 2,490,205 2,471,241 98,991 207,061 109,300 240,696 4.0 8.3 4.4 9.7

Prescott

106,679 109,444 108,141 108,341 4,570 9,279 5,097 9,950 4.3 8.5 4.7 9.2

Sierra Vista-Douglas

50,168 51,250 50,239 50,587 2,748 3,680 3,039 4,449 5.5 7.2 6.0 8.8

Tucson

497,207 502,124 497,736 494,119 21,420 42,097 23,677 48,938 4.3 8.4 4.8 9.9

Yuma

96,746 92,032 96,187 92,592 16,631 16,733 18,137 20,191 17.2 18.2 18.9 21.8

Arkansas

1,363,674 1,349,503 1,376,830 1,329,793 45,702 127,087 52,458 109,561 3.4 9.4 3.8 8.2

Fayetteville-Springdale-Rogers

279,152 277,485 280,387 273,583 6,717 19,885 7,694 17,424 2.4 7.2 2.7 6.4

Fort Smith

119,110 119,688 120,421 115,429 4,016 13,713 4,690 8,522 3.4 11.5 3.9 7.4

Hot Springs

41,357 42,090 41,985 41,374 1,411 5,703 1,690 4,430 3.4 13.5 4.0 10.7

Jonesboro

65,628 66,262 66,185 64,898 1,853 5,608 2,138 5,011 2.8 8.5 3.2 7.7

Little Rock-North Little Rock-Conway

358,949 354,363 362,917 349,070 10,789 36,235 12,176 30,991 3.0 10.2 3.4 8.9

Pine Bluff

34,899 34,637 35,190 34,233 1,807 3,476 2,019 3,246 5.2 10.0 5.7 9.5

California

19,261,786 18,423,388 19,325,538 18,912,012 694,948 2,949,447 794,837 2,846,644 3.6 16.0 4.1 15.1

Bakersfield

386,497 368,270 390,954 377,709 28,249 66,554 31,102 66,070 7.3 18.1 8.0 17.5

Chico

99,095 91,796 97,541 95,052 4,431 12,217 5,242 11,465 4.5 13.3 5.4 12.1

El Centro

70,532 71,751 71,901 73,995 11,698 19,864 13,142 20,191 16.6 27.7 18.3 27.3

Fresno

452,032 446,406 451,786 450,878 29,282 69,217 31,743 65,686 6.5 15.5 7.0 14.6

Hanford-Corcoran

57,968 56,984 57,229 56,790 3,979 8,912 4,542 8,283 6.9 15.6 7.9 14.6

Los Angeles-Long Beach-Anaheim

6,686,003 6,263,730 6,692,809 6,506,445 247,034 1,207,655 274,997 1,175,309 3.7 19.3 4.1 18.1

Madera

62,272 62,377 62,281 61,547 3,872 9,412 4,265 8,696 6.2 15.1 6.8 14.1

Merced

117,247 113,414 115,242 115,263 8,495 18,570 9,336 18,097 7.2 16.4 8.1 15.7

Modesto

242,732 232,106 242,761 235,818 13,606 37,616 15,409 35,421 5.6 16.2 6.3 15.0

Napa

74,257 72,137 75,059 74,216 1,730 10,461 2,067 9,240 2.3 14.5 2.8 12.5

Oxnard-Thousand Oaks-Ventura

422,230 405,527 421,387 411,859 12,732 55,428 15,163 51,984 3.0 13.7 3.6 12.6

Redding

73,885 71,000 74,445 72,761 2,984 9,211 3,402 8,398 4.0 13.0 4.6 11.5

Riverside-San Bernardino-Ontario

2,045,294 2,020,628 2,055,848 2,055,190 71,945 304,274 87,191 294,312 3.5 15.1 4.2 14.3

Sacramento--Roseville--Arden-Arcade

1,090,489 1,068,326 1,096,850 1,085,291 34,625 146,424 40,851 139,317 3.2 13.7 3.7 12.8

Salinas

229,342 200,202 231,689 204,625 11,086 33,169 11,019 29,556 4.8 16.6 4.8 14.4

San Diego-Carlsbad

1,576,186 1,549,978 1,582,682 1,580,385 44,141 235,733 52,870 219,248 2.8 15.2 3.3 13.9

San Francisco-Oakland-Hayward

2,561,694 2,448,078 2,574,357 2,515,312 58,798 315,807 70,861 316,257 2.3 12.9 2.8 12.6

San Jose-Sunnyvale-Santa Clara

1,074,494 1,042,646 1,081,065 1,071,314 24,105 118,219 29,140 115,178 2.2 11.3 2.7 10.8

San Luis Obispo-Paso Robles-Arroyo Grande

141,818 130,428 142,111 131,852 3,450 16,789 4,239 15,193 2.4 12.9 3.0 11.5

Santa Cruz-Watsonville

142,122 130,694 144,904 132,624 5,732 19,033 6,112 17,307 4.0 14.6 4.2 13.0

Santa Maria-Santa Barbara

219,150 209,637 221,045 213,479 6,441 27,086 7,528 24,722 2.9 12.9 3.4 11.6

Santa Rosa

256,524 246,920 256,989 253,579 6,048 32,060 7,215 29,200 2.4 13.0 2.8 11.5

Stockton-Lodi

327,709 321,545 327,178 326,591 16,897 53,506 19,020 51,949 5.2 16.6 5.8 15.9

Vallejo-Fairfield

208,198 199,928 209,064 202,366 6,888 28,756 8,063 27,670 3.3 14.4 3.9 13.7

Visalia-Porterville

205,833 192,967 205,888 195,510 17,332 35,027 18,839 33,713 8.4 18.2 9.2 17.2

Yuba City

74,762 71,587 75,878 72,163 4,676 11,326 4,998 10,660 6.3 15.8 6.6 14.8

Colorado

3,119,482 3,055,723 3,162,311 3,189,798 80,659 306,981 92,508 340,422 2.6 10.0 2.9 10.7

Boulder

197,793 195,128 195,857 199,071 4,175 16,125 5,160 18,831 2.1 8.3 2.6 9.5

Colorado Springs

354,613 348,622 357,736 365,280 10,780 33,704 12,490 38,063 3.0 9.7 3.5 10.4

Denver-Aurora-Lakewood

1,664,907 1,640,291 1,690,123 1,713,692 41,279 171,888 47,514 189,200 2.5 10.5 2.8 11.0

Fort Collins

206,087 202,109 207,215 209,001 4,318 17,325 5,245 19,231 2.1 8.6 2.5 9.2

Grand Junction

76,735 75,629 76,133 79,326 2,286 6,890 2,759 7,960 3.0 9.1 3.6 10.0

Greeley

169,182 164,569 168,997 169,810 3,799 14,191 4,713 17,072 2.2 8.6 2.8 10.1

Pueblo

76,192 74,046 76,305 77,572 2,880 6,747 3,255 8,352 3.8 9.1 4.3 10.8

Connecticut

1,905,616 1,777,738 1,925,633 1,887,870 67,905 167,737 74,192 188,487 3.6 9.4 3.9 10.0

Bridgeport-Stamford-Norwalk

465,503 425,007 473,156 455,727 16,879 41,126 18,498 47,134 3.6 9.7 3.9 10.3

Danbury

106,690 98,867 108,232 106,074 3,147 8,711 3,501 9,541 2.9 8.8 3.2 9.0

Hartford-West Hartford-East Hartford

626,888 598,949 630,127 626,326 22,336 53,336 24,311 60,670 3.6 8.9 3.9 9.7

New Haven

327,625 308,045 329,978 328,367 11,383 26,166 12,541 29,990 3.5 8.5 3.8 9.1

Norwich-New London-Westerly

141,989 127,745 144,539 140,396 4,910 19,113 5,340 18,321 3.5 15.0 3.7 13.0

Waterbury

111,320 103,274 112,484 109,849 4,892 10,732 5,215 12,434 4.4 10.4 4.6 11.3

Delaware

484,877 471,396 490,751 491,813 16,258 73,086 19,899 62,574 3.4 15.5 4.1 12.7

Dover

78,676 79,530 79,134 82,123 2,934 13,382 3,745 11,559 3.7 16.8 4.7 14.1

Salisbury(1)

194,722 184,235 204,404 195,431 7,386 27,377 8,566 20,700 3.8 14.9 4.2 10.6

District of Columbia

408,260 386,742 412,636 397,766 21,301 32,680 24,062 35,673 5.2 8.5 5.8 9.0

Washington-Arlington-Alexandria

3,452,965 3,358,412 3,489,162 3,437,663 103,578 299,108 115,882 288,117 3.0 8.9 3.3 8.4

Florida

10,297,648 9,651,892 10,318,834 9,789,069 310,611 1,304,072 344,231 1,045,481 3.0 13.5 3.3 10.7

Cape Coral-Fort Myers

345,234 327,399 344,466 333,525 10,504 42,587 11,891 32,564 3.0 13.0 3.5 9.8

Crestview-Fort Walton Beach-Destin

130,028 118,874 132,666 121,797 3,336 11,775 3,770 7,957 2.6 9.9 2.8 6.5

Deltona-Daytona Beach-Ormond Beach

301,334 284,512 301,711 288,978 10,311 38,103 11,386 28,141 3.4 13.4 3.8 9.7

Gainesville

144,214 132,317 143,534 133,233 4,082 10,529 4,779 8,913 2.8 8.0 3.3 6.7

Homosassa Springs

47,445 45,788 47,675 45,375 2,241 6,082 2,445 4,646 4.7 13.3 5.1 10.2

Jacksonville

779,073 732,457 787,160 748,074 23,447 75,823 26,777 59,589 3.0 10.4 3.4 8.0

Lakeland-Winter Haven

303,558 308,461 305,166 305,336 10,843 54,406 12,214 43,006 3.6 17.6 4.0 14.1

Miami-Fort Lauderdale-West Palm Beach

3,147,395 2,876,540 3,144,322 2,940,463 87,247 384,706 93,941 333,308 2.8 13.4 3.0 11.3

Naples-Immokalee-Marco Island

179,247 165,796 175,950 167,339 5,080 20,467 5,867 16,214 2.8 12.3 3.3 9.7

North Port-Sarasota-Bradenton

369,376 340,405 368,704 347,853 11,023 41,449 12,399 30,335 3.0 12.2 3.4 8.7

Ocala

137,269 132,803 137,956 133,949 5,136 14,185 5,736 11,392 3.7 10.7 4.2 8.5

Orlando-Kissimmee-Sanford

1,355,270 1,304,400 1,364,425 1,302,852 39,214 274,723 43,960 215,052 2.9 21.1 3.2 16.5

Palm Bay-Melbourne-Titusville

282,542 270,705 285,268 275,711 8,751 31,269 9,696 23,466 3.1 11.6 3.4 8.5

Panama City

90,967 83,747 92,381 85,592 3,479 8,598 3,601 6,041 3.8 10.3 3.9 7.1

Pensacola-Ferry Pass-Brent

228,632 210,410 229,761 214,928 6,740 21,225 7,758 15,962 2.9 10.1 3.4 7.4

Port St. Lucie

219,760 209,603 219,042 211,679 7,804 25,243 8,719 19,722 3.6 12.0 4.0 9.3

Punta Gorda

71,663 67,918 71,458 68,617 2,556 8,475 2,775 6,476 3.6 12.5 3.9 9.4

Sebastian-Vero Beach

65,226 61,054 65,296 61,039 2,413 7,639 2,707 5,911 3.7 12.5 4.1 9.7

Sebring

36,326 34,651 36,110 34,805 1,590 3,584 1,768 3,204 4.4 10.3 4.9 9.2

Tallahassee

193,099 175,098 192,252 178,465 5,833 14,114 6,747 12,695 3.0 8.1 3.5 7.1

Tampa-St. Petersburg-Clearwater

1,546,072 1,465,931 1,554,392 1,486,272 47,885 178,392 52,744 136,374 3.1 12.2 3.4 9.2

The Villages

32,657 30,844 32,753 31,242 1,489 3,670 1,637 3,046 4.6 11.9 5.0 9.7

Georgia

5,085,861 4,893,313 5,101,635 4,933,551 168,072 449,696 193,000 392,073 3.3 9.2 3.8 7.9

Albany

66,217 62,899 66,302 63,519 2,729 5,308 3,152 5,064 4.1 8.4 4.8 8.0

Athens-Clarke County

98,265 94,990 97,409 94,246 3,068 7,609 3,695 6,260 3.1 8.0 3.8 6.6

Atlanta-Sandy Springs-Roswell

3,071,436 2,944,868 3,088,537 2,990,486 97,732 291,709 111,677 257,668 3.2 9.9 3.6 8.6

Augusta-Richmond County

267,303 259,513 268,204 259,836 9,296 22,661 10,685 18,595 3.5 8.7 4.0 7.2

Brunswick

52,943 46,410 53,192 46,135 1,735 4,908 1,949 3,638 3.3 10.6 3.7 7.9

Columbus

123,567 116,215 123,369 117,280 4,703 11,270 5,450 10,158 3.8 9.7 4.4 8.7

Dalton

58,494 57,445 58,826 56,067 2,232 6,283 2,653 4,248 3.8 10.9 4.5 7.6

Gainesville

101,369 96,713 101,625 96,260 2,752 7,380 3,199 5,642 2.7 7.6 3.1 5.9

Hinesville

34,233 33,195 33,879 33,478 1,294 2,403 1,449 2,166 3.8 7.2 4.3 6.5

Macon-Bibb County

102,569 96,999 102,942 97,516 3,753 8,356 4,292 7,406 3.7 8.6 4.2 7.6

Rome

43,562 44,138 43,887 44,098 1,518 3,926 1,752 3,085 3.5 8.9 4.0 7.0

Savannah

188,911 180,170 189,824 181,956 5,779 19,393 6,656 15,708 3.1 10.8 3.5 8.6

Valdosta

63,416 60,959 63,309 61,740 2,051 4,621 2,481 3,936 3.2 7.6 3.9 6.4

Warner Robins

86,152 80,538 86,516 80,679 2,876 5,521 3,310 5,007 3.3 6.9 3.8 6.2

Hawaii

660,719 624,626 665,587 615,118 17,075 146,131 22,078 88,774 2.6 23.4 3.3 14.4

Kahului-Wailuku-Lahaina

85,892 84,771 87,202 79,765 2,116 28,835 2,710 17,995 2.5 34.0 3.1 22.6

Urban Honolulu

447,027 417,414 450,087 414,849 11,119 86,678 14,402 52,063 2.5 20.8 3.2 12.5

Idaho

879,900 883,170 891,130 902,551 22,733 76,117 23,779 48,142 2.6 8.6 2.7 5.3

Boise City

374,019 380,505 378,088 388,774 9,259 35,159 10,106 22,071 2.5 9.2 2.7 5.7

Coeur d'Alene

80,622 79,535 81,852 79,955 2,348 8,919 2,379 5,470 2.9 11.2 2.9 6.8

Idaho Falls

72,369 75,263 73,476 77,147 1,548 4,155 1,585 2,776 2.1 5.5 2.2 3.6

Lewiston

31,260 29,091 31,385 29,697 902 2,428 934 1,603 2.9 8.3 3.0 5.4

Pocatello

43,094 40,211 42,500 40,817 1,087 3,101 1,123 1,989 2.5 7.7 2.6 4.9

Twin Falls

53,234 52,917 53,971 55,058 1,334 4,126 1,408 2,666 2.5 7.8 2.6 4.8

Illinois

6,416,363 6,283,576 6,517,399 6,559,573 222,493 931,965 267,575 958,349 3.5 14.8 4.1 14.6

Bloomington

95,642 87,520 94,703 90,648 3,013 9,675 3,627 9,610 3.2 11.1 3.8 10.6

Carbondale-Marion

59,666 58,026 58,579 59,023 2,025 8,839 2,378 7,277 3.4 15.2 4.1 12.3

Champaign-Urbana

124,671 115,598 119,703 118,681 4,009 11,690 4,660 12,090 3.2 10.1 3.9 10.2

Chicago-Naperville-Elgin

4,828,532 4,806,063 4,930,924 5,006,583 163,684 733,053 200,045 780,308 3.4 15.3 4.1 15.6

Danville

33,026 31,983 33,223 33,504 1,396 4,496 1,584 4,105 4.2 14.1 4.8 12.3

Davenport-Moline-Rock Island(1)

194,940 189,774 197,693 194,173 6,858 27,411 7,775 21,577 3.5 14.4 3.9 11.1

Decatur

49,294 44,732 49,456 48,053 2,118 6,702 2,565 6,943 4.3 15.0 5.2 14.4

Kankakee

55,598 53,484 56,391 56,900 2,225 7,238 2,481 6,833 4.0 13.5 4.4 12.0

Peoria

176,275 159,176 177,832 169,289 6,776 24,489 7,731 22,874 3.8 15.4 4.3 13.5

Rockford

165,285 160,488 167,898 165,995 8,355 31,244 9,164 26,518 5.1 19.5 5.5 16.0

Springfield

107,826 101,000 109,454 107,092 3,547 13,221 4,179 12,609 3.3 13.1 3.8 11.8

Indiana

3,382,235 3,350,607 3,413,468 3,433,664 99,835 398,272 114,185 383,935 3.0 11.9 3.3 11.2

Bloomington

80,392 79,973 76,121 79,744 2,456 6,352 2,886 7,191 3.1 7.9 3.8 9.0

Columbus

44,899 45,662 45,511 45,608 1,028 5,782 1,180 4,843 2.3 12.7 2.6 10.6

Elkhart-Goshen

113,356 108,353 115,752 110,293 3,090 12,799 3,583 11,996 2.7 11.8 3.1 10.9

Evansville

162,514 166,977 166,004 168,086 4,695 17,884 5,390 15,727 2.9 10.7 3.2 9.4

Fort Wayne

218,391 222,132 222,074 221,434 5,980 29,984 6,885 25,538 2.7 13.5 3.1 11.5

Indianapolis-Carmel-Anderson

1,068,726 1,048,267 1,083,451 1,095,064 29,520 107,349 33,673 115,631 2.8 10.2 3.1 10.6

Kokomo

36,160 41,547 36,204 39,549 1,213 9,322 1,365 6,638 3.4 22.4 3.8 16.8

Lafayette-West Lafayette

114,076 107,767 111,211 108,256 3,035 12,589 3,524 10,548 2.7 11.7 3.2 9.7

Michigan City-La Porte

48,002 49,631 48,878 51,798 1,757 7,448 1,996 8,088 3.7 15.0 4.1 15.6

Muncie

53,492 52,374 52,488 52,819 1,880 6,279 2,171 6,014 3.5 12.0 4.1 11.4

South Bend-Mishawaka

161,273 156,202 161,917 161,385 5,376 21,462 6,294 21,528 3.3 13.7 3.9 13.3

Terre Haute

76,122 73,854 76,034 75,010 2,878 8,602 3,196 8,506 3.8 11.6 4.2 11.3

Iowa

1,726,212 1,688,213 1,750,382 1,651,843 41,050 167,567 48,303 130,982 2.4 9.9 2.8 7.9

Ames

59,824 54,696 56,480 53,948 1,007 3,879 1,379 3,273 1.7 7.1 2.4 6.1

Cedar Rapids

147,578 145,261 150,044 141,730 3,703 16,136 4,342 12,985 2.5 11.1 2.9 9.2

Des Moines-West Des Moines

364,004 354,119 370,835 349,143 8,821 38,488 10,330 30,681 2.4 10.9 2.8 8.8

Dubuque

56,823 54,847 56,757 53,335 1,185 6,934 1,353 4,617 2.1 12.6 2.4 8.7

Iowa City

98,338 96,030 99,446 96,526 1,956 8,660 2,326 6,963 2.0 9.0 2.3 7.2

Sioux City

92,739 92,335 94,570 91,161 2,246 8,016 2,736 6,716 2.4 8.7 2.9 7.4

Waterloo-Cedar Falls

90,627 89,973 90,789 87,013 2,292 9,961 2,631 7,217 2.5 11.1 2.9 8.3

Kansas

1,475,384 1,498,549 1,498,185 1,495,009 44,053 148,024 48,792 113,134 3.0 9.9 3.3 7.6

Lawrence

65,900 66,431 62,085 61,904 1,770 6,885 1,987 5,148 2.7 10.4 3.2 8.3

Manhattan

48,122 45,811 44,736 42,398 1,256 3,412 1,357 3,092 2.6 7.4 3.0 7.3

Topeka

118,306 118,707 121,816 118,947 3,562 11,387 3,901 8,534 3.0 9.6 3.2 7.2

Wichita

313,521 329,145 317,999 321,711 10,050 46,370 11,109 34,723 3.2 14.1 3.5 10.8

Kentucky

2,074,273 2,037,060 2,099,909 1,950,426 86,279 217,891 101,143 94,543 4.2 10.7 4.8 4.8

Bowling Green

84,770 79,220 85,136 74,625 3,221 9,477 3,960 3,772 3.8 12.0 4.7 5.1

Elizabethtown-Fort Knox

67,577 67,712 68,761 64,259 2,748 8,306 3,247 3,222 4.1 12.3 4.7 5.0

Lexington-Fayette

275,910 269,081 279,154 259,439 9,269 24,360 10,946 10,967 3.4 9.1 3.9 4.2

Louisville/Jefferson County

672,675 646,313 682,869 646,247 25,026 76,274 28,782 41,244 3.7 11.8 4.2 6.4

Owensboro

55,829 54,251 56,338 53,575 2,164 5,593 2,499 2,227 3.9 10.3 4.4 4.2

Louisiana

2,085,409 2,026,083 2,116,798 2,021,602 89,769 282,453 117,592 211,623 4.3 13.9 5.6 10.5

Alexandria

62,679 61,141 64,011 60,888 2,868 6,024 3,756 4,608 4.6 9.9 5.9 7.6

Baton Rouge

415,382 406,143 419,912 400,662 16,249 51,213 21,588 38,548 3.9 12.6 5.1 9.6

Hammond

53,707 54,341 54,574 54,071 2,633 9,288 3,572 6,866 4.9 17.1 6.5 12.7

Houma-Thibodaux

87,968 85,401 88,995 85,254 3,668 9,916 4,686 7,521 4.2 11.6 5.3 8.8

Lafayette

211,142 206,718 214,706 209,165 9,114 25,730 11,678 19,269 4.3 12.4 5.4 9.2

Lake Charles

110,653 105,509 112,499 103,360 3,986 14,809 5,221 10,314 3.6 14.0 4.6 10.0

Monroe

78,909 77,666 79,492 77,082 3,823 8,906 4,811 6,883 4.8 11.5 6.1 8.9

New Orleans-Metairie

592,915 575,489 602,602 574,918 23,838 100,210 31,398 74,166 4.0 17.4 5.2 12.9

Shreveport-Bossier City

184,936 180,783 188,535 182,229 8,520 24,034 11,125 17,986 4.6 13.3 5.9 9.9

Maine

688,088 662,567 701,100 678,778 20,644 62,510 19,348 43,379 3.0 9.4 2.8 6.4

Bangor

70,649 67,512 70,597 67,945 2,008 6,187 1,930 4,053 2.8 9.2 2.7 6.0

Lewiston-Auburn

55,447 54,290 55,821 54,244 1,600 5,046 1,562 3,617 2.9 9.3 2.8 6.7

Portland-South Portland

207,483 195,826 211,982 201,134 4,984 20,309 4,874 13,528 2.4 10.4 2.3 6.7

Maryland

3,244,597 3,106,005 3,285,538 3,229,628 111,054 302,371 126,624 267,300 3.4 9.7 3.9 8.3

Baltimore-Columbia-Towson

1,517,116 1,441,783 1,536,254 1,501,034 53,100 139,344 60,333 119,959 3.5 9.7 3.9 8.0

California-Lexington Park

57,083 53,988 57,742 55,825 1,757 3,650 2,064 3,314 3.1 6.8 3.6 5.9

Cumberland

45,114 42,237 45,284 43,173 2,020 4,766 2,620 4,167 4.5 11.3 5.8 9.7

Hagerstown-Martinsburg

132,550 127,397 134,893 130,509 4,674 13,320 5,332 10,991 3.5 10.5 4.0 8.4

Massachusetts

3,790,731 3,525,512 3,851,461 3,713,361 109,174 582,796 120,601 648,604 2.9 16.5 3.1 17.5

Barnstable Town

126,942 114,761 136,713 125,147 4,173 22,489 4,335 23,123 3.3 19.6 3.2 18.5

Boston-Cambridge-Nashua

2,809,844 2,615,118 2,852,718 2,743,087 74,261 422,746 82,005 462,978 2.6 16.2 2.9 16.9

Leominster-Gardner

80,387 76,053 81,019 80,871 2,619 13,299 2,927 15,145 3.3 17.5 3.6 18.7

New Bedford

85,665 84,158 86,843 86,971 3,533 18,016 3,941 18,251 4.1 21.4 4.5 21.0

Pittsfield

42,657 39,426 44,385 41,775 1,501 6,796 1,604 7,329 3.5 17.2 3.6 17.5

Springfield

377,675 343,170 378,212 360,839 13,439 53,703 15,134 61,314 3.6 15.6 4.0 17.0

Worcester

361,479 337,758 364,616 356,459 11,444 50,072 12,620 56,236 3.2 14.8 3.5 15.8

Michigan

4,923,525 4,765,123 4,971,319 4,993,785 184,604 991,814 212,011 743,803 3.7 20.8 4.3 14.9

Ann Arbor

197,099 197,655 196,456 209,165 5,612 27,391 6,672 22,037 2.8 13.9 3.4 10.5

Battle Creek

62,580 64,919 63,134 65,658 2,420 14,500 2,824 9,961 3.9 22.3 4.5 15.2

Bay City

50,110 50,609 50,736 51,642 2,134 10,092 2,473 7,060 4.3 19.9 4.9 13.7

Detroit-Warren-Dearborn

2,139,667 1,935,243 2,159,216 2,053,738 82,283 460,482 95,839 366,269 3.8 23.8 4.4 17.8

Flint

181,436 193,348 185,201 196,253 10,215 47,743 9,949 31,862 5.6 24.7 5.4 16.2

Grand Rapids-Wyoming

583,537 584,403 589,196 613,794 16,206 99,867 19,094 73,168 2.8 17.1 3.2 11.9

Jackson

74,728 76,762 74,817 78,649 2,533 15,533 3,058 11,339 3.4 20.2 4.1 14.4

Kalamazoo-Portage

168,589 169,692 169,797 178,704 5,663 26,330 6,535 21,029 3.4 15.5 3.8 11.8

Lansing-East Lansing

252,387 246,998 246,625 255,254 7,738 41,134 9,231 28,716 3.1 16.7 3.7 11.2

Midland

40,752 40,430 41,049 42,395 1,381 6,407 1,609 4,627 3.4 15.8 3.9 10.9

Monroe

76,340 77,904 76,171 78,375 3,091 16,673 3,039 10,353 4.0 21.4 4.0 13.2

Muskegon

77,086 83,386 78,937 85,195 3,047 20,641 3,556 15,026 4.0 24.8 4.5 17.6

Niles-Benton Harbor

74,374 75,747 75,435 79,465 2,798 14,027 3,379 10,914 3.8 18.5 4.5 13.7

Saginaw

86,642 89,049 87,792 91,173 3,970 18,532 4,325 13,241 4.6 20.8 4.9 14.5

Minnesota

3,094,150 3,062,634 3,126,861 3,135,487 83,114 287,254 101,099 267,680 2.7 9.4 3.2 8.5

Duluth

143,174 142,783 143,200 145,463 4,999 17,666 5,795 14,800 3.5 12.4 4.0 10.2

Mankato-North Mankato

61,865 60,691 61,293 63,083 1,484 4,956 1,817 4,625 2.4 8.2 3.0 7.3

Minneapolis-St. Paul-Bloomington

2,012,906 2,003,350 2,037,819 2,048,839 51,769 201,616 63,618 188,123 2.6 10.1 3.1 9.2

Rochester

124,441 126,743 125,968 128,861 2,926 11,808 3,620 10,347 2.4 9.3 2.9 8.0

St. Cloud

113,041 113,663 112,317 116,508 3,003 9,957 3,517 8,722 2.7 8.8 3.1 7.5

Mississippi

1,277,185 1,212,017 1,292,689 1,211,136 67,760 125,942 83,202 117,760 5.3 10.4 6.4 9.7

Gulfport-Biloxi-Pascagoula

163,943 159,337 166,586 159,768 8,813 23,521 10,538 17,159 5.4 14.8 6.3 10.7

Hattiesburg

67,817 64,386 67,827 63,870 3,264 5,712 3,904 5,546 4.8 8.9 5.8 8.7

Jackson

267,911 254,335 270,897 254,042 12,727 25,563 15,600 23,562 4.8 10.1 5.8 9.3

Missouri

3,072,393 3,015,099 3,108,213 3,052,057 91,760 295,828 104,362 242,135 3.0 9.8 3.4 7.9

Cape Girardeau

48,399 45,031 48,795 45,088 1,401 4,049 1,681 3,223 2.9 9.0 3.4 7.1

Columbia

98,620 94,580 96,112 95,157 2,221 6,183 2,536 5,437 2.3 6.5 2.6 5.7

Jefferson City

74,753 73,487 75,277 73,616 1,812 4,381 2,170 4,109 2.4 6.0 2.9 5.6

Joplin

83,996 83,502 84,416 84,109 2,468 7,466 2,777 6,037 2.9 8.9 3.3 7.2

Kansas City

1,128,980 1,121,107 1,152,837 1,133,613 33,634 121,298 37,689 88,096 3.0 10.8 3.3 7.8

St. Joseph

62,872 61,030 64,060 62,193 1,723 4,043 2,027 3,564 2.7 6.6 3.2 5.7

St. Louis(2)

1,465,940 1,427,683 1,490,157 1,456,573 43,458 160,797 50,765 141,076 3.0 11.3 3.4 9.7

Springfield

234,519 229,502 235,326 234,579 6,114 18,794 6,617 17,161 2.6 8.2 2.8 7.3

Montana

532,019 523,912 539,659 542,444 15,197 44,587 18,106 37,988 2.9 8.5 3.4 7.0

Billings

87,611 85,581 88,323 89,595 2,288 6,741 2,988 5,963 2.6 7.9 3.4 6.7

Great Falls

38,071 37,557 38,463 38,739 1,061 3,047 1,293 2,683 2.8 8.1 3.4 6.9

Missoula

64,193 64,615 64,333 66,814 1,646 6,008 1,907 4,900 2.6 9.3 3.0 7.3

Nebraska

1,037,150 1,034,364 1,047,089 1,069,792 30,785 53,515 34,683 73,350 3.0 5.2 3.3 6.9

Grand Island

44,221 44,050 44,721 44,571 1,319 3,288 1,486 3,396 3.0 7.5 3.3 7.6

Lincoln

185,818 186,682 184,484 191,306 5,197 9,656 5,892 13,326 2.8 5.2 3.2 7.0

Omaha-Council Bluffs

494,733 489,874 499,939 504,687 14,737 31,372 16,414 40,744 3.0 6.4 3.3 8.1

Nevada

1,538,540 1,382,240 1,543,666 1,500,295 59,063 347,106 63,748 227,581 3.8 25.1 4.1 15.2

Carson City

26,393 22,729 26,575 25,080 1,013 3,462 1,058 2,099 3.8 15.2 4.0 8.4

Las Vegas-Henderson-Paradise

1,129,068 1,019,238 1,130,891 1,088,462 45,344 293,895 49,377 196,448 4.0 28.8 4.4 18.0

Reno

256,741 221,407 258,026 241,442 7,992 35,481 8,377 20,699 3.1 16.0 3.2 8.6

New Hampshire

768,801 730,536 781,077 754,781 18,515 111,950 19,442 88,100 2.4 15.3 2.5 11.7

Dover-Durham

86,530 81,060 86,300 82,490 1,860 11,504 1,978 8,941 2.1 14.2 2.3 10.8

Manchester

123,310 119,812 123,274 123,944 2,829 18,872 2,979 14,995 2.3 15.8 2.4 12.1

Portsmouth

76,934 71,393 79,437 74,800 1,676 9,262 1,742 7,153 2.2 13.0 2.2 9.6

New Jersey

4,443,339 4,515,845 4,508,811 4,562,048 133,039 681,014 147,120 746,530 3.0 15.1 3.3 16.4

Atlantic City-Hammonton

118,905 123,110 122,278 129,318 4,981 40,061 5,413 44,322 4.2 32.5 4.4 34.3

Ocean City

45,722 43,185 53,261 46,630 2,302 9,747 2,260 9,347 5.0 22.6 4.2 20.0

Trenton

200,414 203,684 203,279 201,061 5,307 21,521 6,058 24,212 2.6 10.6 3.0 12.0

Vineland-Bridgeton

66,272 67,865 65,373 66,401 2,858 10,253 3,118 11,115 4.3 15.1 4.8 16.7

New Mexico

944,675 898,698 958,214 927,685 42,160 78,436 52,893 83,390 4.5 8.7 5.5 9.0

Albuquerque

432,023 407,727 438,294 421,656 18,287 37,184 23,151 37,678 4.2 9.1 5.3 8.9

Farmington

51,710 47,206 52,329 47,204 2,527 4,858 3,330 5,316 4.9 10.3 6.4 11.3

Las Cruces

97,165 90,239 96,906 91,937 5,172 7,684 6,217 8,094 5.3 8.5 6.4 8.8

Santa Fe

74,140 68,971 75,847 69,953 2,765 6,470 3,413 6,617 3.7 9.4 4.5 9.5

New York

9,457,173 9,064,228 9,538,972 9,441,085 345,064 1,285,375 363,430 1,468,753 3.6 14.2 3.8 15.6

Albany-Schenectady-Troy

444,463 452,046 449,844 451,902 14,624 43,405 15,846 47,296 3.3 9.6 3.5 10.5

Binghamton

106,242 110,052 107,265 109,258 4,189 11,626 4,705 12,108 3.9 10.6 4.4 11.1

Buffalo-Cheektowaga-Niagara Falls

536,693 544,382 541,610 548,878 20,451 76,972 21,969 75,200 3.8 14.1 4.1 13.7

Elmira

34,843 37,574 35,272 37,669 1,338 4,535 1,456 4,479 3.8 12.1 4.1 11.9

Glens Falls

58,034 58,629 60,965 58,714 2,152 6,490 2,197 6,330 3.7 11.1 3.6 10.8

Ithaca

49,179 49,538 47,722 49,184 1,602 3,883 1,811 4,369 3.3 7.8 3.8 8.9

Kingston

87,373 90,153 88,443 90,687 2,942 9,745 3,237 10,220 3.4 10.8 3.7 11.3

New York-Newark-Jersey City

9,872,404 9,484,546 9,961,096 9,887,401 333,212 1,453,211 353,469 1,680,176 3.4 15.3 3.5 17.0

Rochester

516,558 511,969 522,374 517,372 19,028 56,213 20,409 58,697 3.7 11.0 3.9 11.3

Syracuse

303,407 304,623 307,251 303,446 11,404 36,006 12,277 36,031 3.8 11.8 4.0 11.9

Utica-Rome

128,219 129,487 130,145 129,999 4,984 14,359 5,698 13,991 3.9 11.1 4.4 10.8

Watertown-Fort Drum

43,684 42,520 44,858 43,157 1,997 5,027 2,042 4,831 4.6 11.8 4.6 11.2

North Carolina

5,081,718 4,838,194 5,097,518 4,819,363 196,440 613,012 213,152 380,123 3.9 12.7 4.2 7.9

Asheville

237,789 226,555 239,348 226,555 7,598 35,359 8,232 20,227 3.2 15.6 3.4 8.9

Burlington

82,382 77,929 82,450 78,797 3,141 9,864 3,474 6,193 3.8 12.7 4.2 7.9

Charlotte-Concord-Gastonia

1,362,806 1,322,805 1,377,278 1,321,828 48,110 173,982 52,422 111,687 3.5 13.2 3.8 8.4

Durham-Chapel Hill

305,664 283,215 304,896 284,207 10,670 29,895 11,600 19,906 3.5 10.6 3.8 7.0

Fayetteville

149,923 142,548 150,076 139,304 7,475 22,021 8,097 13,865 5.0 15.4 5.4 10.0

Goldsboro

52,968 46,871 52,481 47,240 2,194 4,771 2,344 3,323 4.1 10.2 4.5 7.0

Greensboro-High Point

373,813 348,825 372,107 353,819 15,132 50,606 16,511 32,268 4.0 14.5 4.4 9.1

Greenville

91,057 84,899 89,437 83,923 3,905 8,849 4,395 6,111 4.3 10.4 4.9 7.3

Hickory-Lenoir-Morganton

175,997 164,006 176,861 161,061 6,518 24,203 7,100 13,191 3.7 14.8 4.0 8.2

Jacksonville

65,820 63,114 65,496 61,724 3,024 7,380 3,251 4,524 4.6 11.7 5.0 7.3

New Bern

51,949 48,226 52,674 48,046 2,095 5,075 2,295 3,232 4.0 10.5 4.4 6.7

Raleigh

729,398 676,504 733,697 682,842 25,203 77,528 27,311 49,162 3.5 11.5 3.7 7.2

Rocky Mount

64,894 62,372 64,333 61,015 3,393 8,696 3,640 5,877 5.2 13.9 5.7 9.6

Wilmington

154,656 142,828 155,317 144,154 5,608 19,065 6,057 10,748 3.6 13.3 3.9 7.5

Winston-Salem

332,547 310,717 333,315 311,529 12,224 39,587 13,342 24,596 3.7 12.7 4.0 7.9

North Dakota

404,896 403,856 412,677 408,023 8,303 34,993 10,907 25,569 2.1 8.7 2.6 6.3

Bismarck

67,418 66,936 68,843 68,565 1,447 5,189 1,851 3,501 2.1 7.8 2.7 5.1

Fargo

138,943 140,003 139,329 142,165 2,773 10,109 3,374 7,867 2.0 7.2 2.4 5.5

Grand Forks

53,893 53,028 54,236 54,042 1,338 4,419 1,706 3,362 2.5 8.3 3.1 6.2

Ohio

5,781,125 5,759,306 5,844,525 5,849,201 213,510 777,518 253,781 650,272 3.7 13.5 4.3 11.1

Akron

357,462 346,204 361,055 352,944 13,034 43,189 15,982 39,050 3.6 12.5 4.4 11.1

Canton-Massillon

198,659 195,600 199,578 197,747 7,996 24,926 8,955 21,422 4.0 12.7 4.5 10.8

Cincinnati

1,121,391 1,106,295 1,141,322 1,127,725 37,293 123,769 46,480 101,909 3.3 11.2 4.1 9.0

Cleveland-Elyria

1,035,875 1,044,537 1,052,016 1,061,026 39,603 180,517 47,648 148,175 3.8 17.3 4.5 14.0

Columbus

1,090,198 1,080,949 1,102,941 1,095,382 34,456 118,631 42,223 108,433 3.2 11.0 3.8 9.9

Dayton

387,871 392,505 391,833 394,795 14,133 49,888 16,907 42,159 3.6 12.7 4.3 10.7

Lima

47,927 48,695 48,341 48,475 1,631 7,411 2,066 5,330 3.4 15.2 4.3 11.0

Mansfield

52,363 53,459 52,970 52,981 1,973 8,405 2,393 5,983 3.8 15.7 4.5 11.3

Springfield

63,202 63,862 63,496 64,630 2,243 7,985 2,794 6,752 3.5 12.5 4.4 10.4

Toledo

307,201 310,647 304,702 304,839 15,046 54,129 13,392 37,492 4.9 17.4 4.4 12.3

Weirton-Steubenville(1)

50,442 50,683 51,333 51,235 2,409 7,686 2,871 6,211 4.8 15.2 5.6 12.1

Youngstown-Warren-Boardman

238,905 232,716 241,561 235,134 12,316 36,153 14,073 31,290 5.2 15.5 5.8 13.3

Oklahoma

1,836,265 1,820,747 1,854,443 1,779,949 58,531 229,735 65,316 121,838 3.2 12.6 3.5 6.8

Enid

27,053 26,089 27,237 25,791 782 2,763 862 1,603 2.9 10.6 3.2 6.2

Lawton

50,818 51,093 51,509 49,349 1,768 8,033 1,982 3,484 3.5 15.7 3.8 7.1

Oklahoma City

682,350 679,638 688,604 674,046 20,197 87,932 22,521 47,272 3.0 12.9 3.3 7.0

Tulsa

480,077 476,784 487,736 457,238 15,331 61,660 16,817 33,336 3.2 12.9 3.4 7.3

Oregon

2,092,575 2,114,497 2,113,944 2,158,252 71,990 294,470 83,768 243,315 3.4 13.9 4.0 11.3

Albany

58,533 59,586 58,902 60,183 2,316 7,934 2,687 6,554 4.0 13.3 4.6 10.9

Bend-Redmond

95,754 97,322 97,100 98,235 3,299 15,440 3,783 11,667 3.4 15.9 3.9 11.9

Corvallis

48,453 47,269 49,120 47,961 1,267 4,601 1,643 4,038 2.6 9.7 3.3 8.4

Eugene

180,388 184,312 181,181 188,592 6,720 26,275 7,915 21,268 3.7 14.3 4.4 11.3

Grants Pass

35,781 35,997 36,143 36,351 1,618 4,837 1,834 4,061 4.5 13.4 5.1 11.2

Medford

102,918 104,319 103,596 106,335 4,170 14,970 4,815 12,278 4.1 14.4 4.6 11.5

Portland-Vancouver-Hillsboro

1,315,744 1,335,856 1,322,096 1,355,300 44,343 186,868 50,589 154,040 3.4 14.0 3.8 11.4

Salem

200,385 200,442 203,756 203,711 7,384 24,713 8,591 20,401 3.7 12.3 4.2 10.0

Pennsylvania

6,447,401 6,494,406 6,514,786 6,383,465 258,627 859,499 287,947 835,196 4.0 13.2 4.4 13.1

Allentown-Bethlehem-Easton

440,949 444,195 444,700 442,789 17,932 61,151 19,352 61,747 4.1 13.8 4.4 13.9

Altoona

59,231 60,832 60,402 58,262 2,261 8,010 2,820 6,869 3.8 13.2 4.7 11.8

Bloomsburg-Berwick

42,093 43,647 42,373 42,251 1,835 4,850 1,975 4,263 4.4 11.1 4.7 10.1

Chambersburg-Waynesboro

77,185 78,606 78,317 76,891 2,677 8,894 2,997 8,710 3.5 11.3 3.8 11.3

East Stroudsburg

82,569 83,000 83,661 82,481 4,114 15,156 4,449 14,746 5.0 18.3 5.3 17.9

Erie

127,955 127,309 129,310 124,627 5,264 17,747 6,025 17,929 4.1 13.9 4.7 14.4

Gettysburg

55,202 57,611 55,868 55,404 1,636 6,548 1,907 5,725 3.0 11.4 3.4 10.3

Harrisburg-Carlisle

299,080 307,304 304,772 298,671 10,245 35,501 11,858 34,435 3.4 11.6 3.9 11.5

Johnstown

57,872 56,913 58,485 55,095 2,676 7,611 3,419 7,092 4.6 13.4 5.8 12.9

Lancaster

283,772 292,827 288,734 290,201 9,026 33,525 10,432 32,489 3.2 11.4 3.6 11.2

Lebanon

72,444 75,104 73,742 72,399 2,530 8,643 2,920 8,512 3.5 11.5 4.0 11.8

Philadelphia-Camden-Wilmington

3,101,906 3,124,509 3,125,601 3,119,025 117,240 428,342 128,623 437,877 3.8 13.7 4.1 14.0

Pittsburgh

1,202,261 1,196,505 1,216,835 1,178,566 46,924 162,878 53,680 148,986 3.9 13.6 4.4 12.6

Reading

215,269 228,621 217,595 224,125 8,753 31,198 9,672 29,438 4.1 13.6 4.4 13.1

Scranton--Wilkes-Barre--Hazleton

273,791 271,228 275,810 264,574 13,418 41,880 14,536 40,468 4.9 15.4 5.3 15.3

State College

80,537 80,592 76,322 74,549 2,637 6,544 2,752 6,261 3.3 8.1 3.6 8.4

Williamsport

56,285 52,741 56,896 52,880 2,440 6,774 2,628 6,446 4.3 12.8 4.6 12.2

York-Hanover

234,833 241,666 237,121 233,693 8,244 30,080 9,686 26,933 3.5 12.4 4.1 11.5

Rhode Island

550,312 518,867 557,755 552,974 18,150 83,808 18,645 66,980 3.3 16.2 3.3 12.1

Providence-Warwick

685,457 650,024 693,435 689,375 22,806 108,686 23,768 93,158 3.3 16.7 3.4 13.5

South Carolina

2,377,726 2,420,966 2,400,898 2,462,989 64,906 290,963 75,412 219,169 2.7 12.0 3.1 8.9

Charleston-North Charleston

395,600 395,373 399,829 406,619 9,287 48,146 10,603 36,676 2.3 12.2 2.7 9.0

Columbia

402,295 410,299 404,598 412,816 10,513 38,296 12,295 32,043 2.6 9.3 3.0 7.8

Florence

97,831 100,415 98,716 103,187 2,885 9,583 3,391 8,351 2.9 9.5 3.4 8.1

Greenville-Anderson-Mauldin

434,099 446,494 438,105 452,053 10,983 54,260 12,675 38,031 2.5 12.2 2.9 8.4

Hilton Head Island-Bluffton-Beaufort

91,119 91,434 92,852 95,721 2,370 10,062 2,758 7,102 2.6 11.0 3.0 7.4

Myrtle Beach-Conway-North Myrtle Beach

206,220 202,655 212,728 209,826 7,616 35,276 8,411 22,346 3.7 17.4 4.0 10.6

Spartanburg

164,726 172,822 166,033 173,016 4,181 25,060 5,051 17,550 2.5 14.5 3.0 10.1

Sumter

43,736 45,545 44,112 45,883 1,393 5,026 1,663 3,905 3.2 11.0 3.8 8.5

South Dakota

462,992 464,374 470,901 475,420 14,197 42,669 15,018 33,471 3.1 9.2 3.2 7.0

Rapid City

74,934 74,666 77,299 76,983 2,479 8,115 2,551 6,318 3.3 10.9 3.3 8.2

Sioux Falls

155,091 157,931 156,797 160,887 4,085 14,923 4,164 10,823 2.6 9.4 2.7 6.7

Tennessee

3,336,509 3,294,573 3,372,213 3,201,894 104,130 351,948 131,488 324,508 3.1 10.7 3.9 10.1

Chattanooga

276,075 277,110 280,189 270,275 8,356 25,198 10,486 22,124 3.0 9.1 3.7 8.2

Clarksville

117,061 119,017 117,764 113,678 4,721 12,514 5,759 9,942 4.0 10.5 4.9 8.7

Cleveland

58,681 58,580 59,810 59,065 1,926 5,457 2,506 5,005 3.3 9.3 4.2 8.5

Jackson

65,093 61,773 66,091 61,866 2,099 6,122 2,681 5,764 3.2 9.9 4.1 9.3

Johnson City

91,936 89,141 91,599 86,874 3,293 7,895 3,980 7,740 3.6 8.9 4.3 8.9

Kingsport-Bristol-Bristol

138,568 133,082 139,257 131,288 4,731 12,793 5,784 12,056 3.4 9.6 4.2 9.2

Knoxville

432,298 423,486 436,264 412,167 12,942 36,839 16,719 33,691 3.0 8.7 3.8 8.2

Memphis

644,084 623,761 651,549 620,350 25,134 66,493 31,456 73,822 3.9 10.7 4.8 11.9

Morristown

53,311 53,202 53,423 51,352 1,865 5,991 2,317 4,847 3.5 11.3 4.3 9.4

Nashville-Davidson--Murfreesboro--Franklin

1,087,467 1,065,090 1,102,056 1,042,052 26,627 117,907 33,493 106,563 2.4 11.1 3.0 10.2

Texas

13,926,760 13,464,075 14,009,283 13,844,386 435,592 1,711,194 520,024 1,231,582 3.1 12.7 3.7 8.9

Abilene

78,140 73,746 78,274 76,595 2,075 6,555 2,553 4,940 2.7 8.9 3.3 6.4

Amarillo

132,061 121,586 131,854 125,555 2,928 10,368 3,661 7,596 2.2 8.5 2.8 6.0

Austin-Round Rock

1,225,988 1,172,013 1,234,994 1,214,563 28,958 133,155 34,716 90,887 2.4 11.4 2.8 7.5

Beaumont-Port Arthur

172,566 167,707 173,250 168,526 8,382 29,898 10,124 21,609 4.9 17.8 5.8 12.8

Brownsville-Harlingen

165,540 159,995 167,285 163,479 8,044 25,581 9,663 18,354 4.9 16.0 5.8 11.2

College Station-Bryan

134,677 129,166 130,319 131,338 3,329 11,225 4,153 8,585 2.5 8.7 3.2 6.5

Corpus Christi

205,863 194,298 206,451 201,378 7,874 28,466 9,325 20,299 3.8 14.7 4.5 10.1

Dallas-Fort Worth-Arlington

3,926,375 3,829,800 3,960,641 3,957,398 115,327 469,577 136,815 331,426 2.9 12.3 3.5 8.4

El Paso

361,452 349,688 360,048 355,814 12,421 50,955 14,614 35,055 3.4 14.6 4.1 9.9

Houston-The Woodlands-Sugar Land

3,399,189 3,324,817 3,420,393 3,395,505 115,222 463,763 135,598 336,795 3.4 13.9 4.0 9.9

Killeen-Temple

175,892 167,520 176,330 172,336 5,956 18,026 7,135 13,583 3.4 10.8 4.0 7.9

Laredo

118,482 113,431 118,663 115,398 4,016 15,991 4,730 11,612 3.4 14.1 4.0 10.1

Longview

98,949 92,284 98,958 94,915 3,206 11,225 3,762 8,663 3.2 12.2 3.8 9.1

Lubbock

162,906 152,316 163,106 157,302 3,973 14,321 5,321 10,777 2.4 9.4 3.3 6.9

McAllen-Edinburg-Mission

349,154 350,895 351,385 353,115 18,882 61,587 22,911 45,060 5.4 17.6 6.5 12.8

Midland

109,702 101,470 110,115 103,625 1,940 12,795 2,365 9,980 1.8 12.6 2.1 9.6

Odessa

87,802 84,968 87,649 85,961 1,954 14,017 2,397 11,139 2.2 16.5 2.7 13.0

San Angelo

54,929 50,052 55,148 52,338 1,490 5,366 1,804 4,096 2.7 10.7 3.3 7.8

San Antonio-New Braunfels

1,192,549 1,166,645 1,202,628 1,196,498 32,842 148,726 39,735 101,726 2.8 12.7 3.3 8.5

Sherman-Denison

63,849 61,027 64,188 63,050 1,754 5,874 2,062 4,277 2.7 9.6 3.2 6.8

Texarkana

65,169 63,156 66,014 64,271 2,510 6,744 3,015 5,320 3.9 10.7 4.6 8.3

Tyler

106,825 103,773 107,044 106,382 3,163 11,744 3,795 8,482 3.0 11.3 3.5 8.0

Victoria

45,861 42,786 45,954 44,116 1,398 5,475 1,646 3,985 3.0 12.8 3.6 9.0

Waco

125,126 120,620 126,235 124,773 3,630 11,756 4,608 8,815 2.9 9.7 3.7 7.1

Wichita Falls

64,895 59,674 65,559 62,518 1,817 5,998 2,273 4,548 2.8 10.1 3.5 7.3

Utah

1,599,711 1,607,911 1,612,516 1,673,611 41,197 136,316 48,104 92,009 2.6 8.5 3.0 5.5

Logan

72,152 68,388 70,907 72,241 1,522 3,301 1,800 2,506 2.1 4.8 2.5 3.5

Ogden-Clearfield

332,658 339,080 335,168 353,178 8,415 27,038 9,889 17,239 2.5 8.0 3.0 4.9

Provo-Orem

308,763 309,059 310,895 327,314 7,434 19,142 8,797 13,985 2.4 6.2 2.8 4.3

St. George

75,961 76,889 75,145 79,831 2,122 7,270 2,569 4,793 2.8 9.5 3.4 6.0

Salt Lake City

665,237 668,464 672,410 688,032 16,932 63,096 19,594 42,820 2.5 9.4 2.9 6.2

Vermont

341,657 342,245 346,954 345,764 7,493 43,468 8,577 32,395 2.2 12.7 2.5 9.4

Burlington-South Burlington

125,070 122,627 126,985 124,595 2,219 14,297 2,731 10,653 1.8 11.7 2.2 8.6

Virginia

4,401,947 4,319,016 4,434,710 4,356,400 118,238 383,912 129,920 371,775 2.7 8.9 2.9 8.5

Blacksburg-Christiansburg-Radford

91,859 83,602 89,081 83,878 2,657 7,382 2,954 6,392 2.9 8.8 3.3 7.6

Charlottesville

123,608 121,760 123,644 121,727 3,143 9,826 3,466 9,831 2.5 8.1 2.8 8.1

Harrisonburg

65,914 64,205 66,483 64,015 1,872 5,657 2,059 5,020 2.8 8.8 3.1 7.8

Lynchburg

123,287 118,214 123,657 120,995 3,911 9,717 4,440 9,563 3.2 8.2 3.6 7.9

Richmond

685,796 674,282 690,643 679,821 19,365 63,291 21,367 62,856 2.8 9.4 3.1 9.2

Roanoke

158,330 153,640 157,975 152,247 4,194 13,742 4,780 12,423 2.6 8.9 3.0 8.2

Staunton-Waynesboro

60,634 61,731 60,950 62,364 1,520 4,628 1,651 4,366 2.5 7.5 2.7 7.0

Virginia Beach-Norfolk-Newport News

859,269 851,043 866,525 857,800 25,563 85,492 27,796 82,516 3.0 10.0 3.2 9.6

Winchester

73,641 71,501 74,444 71,096 1,900 5,635 2,133 4,989 2.6 7.9 2.9 7.0

Washington

3,888,371 3,937,461 3,919,625 3,965,560 158,985 582,895 164,802 384,109 4.1 14.8 4.2 9.7

Bellingham

114,936 119,856 115,468 115,432 5,403 18,658 5,880 12,156 4.7 15.6 5.1 10.5

Bremerton-Silverdale

127,404 133,933 127,845 129,106 5,751 17,667 6,152 10,759 4.5 13.2 4.8 8.3

Kennewick-Richland

146,921 150,588 152,203 155,722 7,443 18,452 7,647 14,159 5.1 12.3 5.0 9.1

Longview

47,572 49,775 47,638 47,729 2,890 7,688 2,966 4,777 6.1 15.4 6.2 10.0

Mount Vernon-Anacortes

62,744 64,393 63,521 62,710 3,281 10,646 3,463 7,081 5.2 16.5 5.5 11.3

Olympia-Tumwater

141,359 148,781 141,189 142,545 6,710 21,187 7,047 12,851 4.7 14.2 5.0 9.0

Seattle-Tacoma-Bellevue

2,161,440 2,164,320 2,163,471 2,223,411 69,343 330,228 72,654 216,571 3.2 15.3 3.4 9.7

Spokane-Spokane Valley

277,303 279,097 276,986 270,867 14,179 41,745 14,587 26,658 5.1 15.0 5.3 9.8

Walla Walla

31,661 32,152 32,364 31,870 1,437 3,435 1,587 2,098 4.5 10.7 4.9 6.6

Wenatchee

65,020 65,238 70,716 69,741 3,230 9,235 3,067 6,370 5.0 14.2 4.3 9.1

Yakima

130,493 135,473 140,204 143,023 8,856 18,845 8,176 14,420 6.8 13.9 5.8 10.1

West Virginia

794,398 781,397 806,744 775,692 35,373 97,854 39,694 80,734 4.5 12.5 4.9 10.4

Beckley

46,905 47,435 47,735 46,805 2,143 6,305 2,367 5,246 4.6 13.3 5.0 11.2

Charleston

92,539 91,966 94,941 92,989 4,119 13,010 4,501 10,711 4.5 14.1 4.7 11.5

Huntington-Ashland

145,749 149,110 147,578 148,349 6,714 18,881 7,958 13,728 4.6 12.7 5.4 9.3

Morgantown

70,043 69,318 68,595 68,463 2,516 6,898 2,914 6,297 3.6 10.0 4.2 9.2

Parkersburg-Vienna

39,000 40,001 39,627 39,640 1,861 5,250 2,052 4,021 4.8 13.1 5.2 10.1

Wheeling

65,600 63,536 66,859 64,705 3,065 9,376 3,378 7,387 4.7 14.8 5.1 11.4

Wisconsin

3,085,969 3,088,644 3,150,680 3,100,848 94,828 366,905 117,562 270,982 3.1 11.9 3.7 8.7

Appleton

130,027 128,157 133,280 128,808 3,651 13,711 4,485 9,665 2.8 10.7 3.4 7.5

Eau Claire

92,171 89,141 91,934 89,857 2,715 9,663 3,348 7,456 2.9 10.8 3.6 8.3

Fond du Lac

57,109 58,505 58,938 59,131 1,560 6,607 1,976 4,910 2.7 11.3 3.4 8.3

Green Bay

172,773 173,539 176,162 173,140 5,199 20,929 6,375 14,837 3.0 12.1 3.6 8.6

Janesville-Beloit

84,832 84,030 86,443 84,589 2,951 11,633 3,594 8,217 3.5 13.8 4.2 9.7

La Crosse-Onalaska

76,830 74,951 76,422 75,483 2,105 7,778 2,664 5,612 2.7 10.4 3.5 7.4

Madison

382,348 370,284 391,595 373,563 9,814 35,900 12,019 27,498 2.6 9.7 3.1 7.4

Milwaukee-Waukesha-West Allis

812,363 824,371 824,342 826,746 26,925 106,328 33,812 82,785 3.3 12.9 4.1 10.0

Oshkosh-Neenah

91,139 90,840 92,133 91,026 2,646 9,881 3,268 7,016 2.9 10.9 3.5 7.7

Racine

98,154 101,807 99,883 102,018 3,516 12,647 4,385 9,533 3.6 12.4 4.4 9.3

Sheboygan

62,176 62,640 63,844 63,297 1,630 7,933 2,061 5,028 2.6 12.7 3.2 7.9

Wausau

73,010 72,918 74,620 73,441 1,995 6,741 2,459 5,043 2.7 9.2 3.3 6.9

Wyoming

290,120 292,873 297,410 301,336 9,616 25,426 10,840 22,832 3.3 8.7 3.6 7.6

Casper

38,975 39,607 39,460 40,001 1,427 4,585 1,600 4,382 3.7 11.6 4.1 11.0

Cheyenne

48,095 49,664 48,383 50,385 1,541 3,934 1,748 3,333 3.2 7.9 3.6 6.6

Puerto Rico

1,091,373 1,015,919 1,113,225 1,063,390 84,550 97,038 89,438 90,194 7.7 9.6 8.0 8.5

Aguadilla-Isabela

86,800 78,566 87,896 82,162 8,851 8,660 9,422 7,821 10.2 11.0 10.7 9.5

Arecibo

52,955 49,723 53,747 52,290 5,034 5,078 5,146 4,586 9.5 10.2 9.6 8.8

Guayama

20,293 18,010 20,490 18,877 2,560 1,677 2,637 1,650 12.6 9.3 12.9 8.7

Mayaguez

27,331 24,981 27,998 25,949 2,619 2,610 2,775 2,274 9.6 10.4 9.9 8.8

Ponce

93,125 85,294 94,817 88,676 10,369 8,563 10,420 7,682 11.1 10.0 11.0 8.7

San German

34,481 31,718 35,242 33,105 3,516 3,455 3,794 2,999 10.2 10.9 10.8 9.1

San Juan-Carolina-Caguas

733,877 689,712 750,228 723,158 46,686 63,425 50,236 59,754 6.4 9.2 6.7 8.3

Footnotes
(1) For operational reasons, these interstate areas are listed under the state that accounts for the larger share of the population, which is different from the state that contains the first principal city.
(2) The area boundary does not reflect the Office of Management and Budget delineation.
(p) Preliminary

NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Area delineations are based on Office of Management and Budget Bulletin No. 18-03, dated April 10, 2018, and are available on the BLS website at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan New England City and Town Areas (NECTAs), while areas in other states are county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city, unless otherwise footnoted. Estimates for the latest month are subject to revision the following month.


LABOR FORCE DATA
NOT SEASONALLY ADJUSTED

Table 2. Civilian labor force and unemployment by state, selected metropolitan area, and metropolitan division(1)
State, area, and division Civilian labor force Unemployed
May June Number Percent of labor force
2019 2020 2019 2020(p) May June May June
2019 2020 2019 2020(p) 2019 2020 2019 2020(p)

California

19,261,786 18,423,388 19,325,538 18,912,012 694,948 2,949,447 794,837 2,846,644 3.6 16.0 4.1 15.1

Los Angeles-Long Beach-Anaheim

6,686,003 6,263,730 6,692,809 6,506,445 247,034 1,207,655 274,997 1,175,309 3.7 19.3 4.1 18.1

Anaheim-Santa Ana-Irvine

1,611,417 1,547,639 1,613,664 1,595,002 39,120 227,097 47,266 218,036 2.4 14.7 2.9 13.7

Los Angeles-Long Beach-Glendale

5,074,586 4,716,091 5,079,145 4,911,443 207,914 980,558 227,731 957,273 4.1 20.8 4.5 19.5

San Francisco-Oakland-Hayward

2,561,694 2,448,078 2,574,357 2,515,312 58,798 315,807 70,861 316,257 2.3 12.9 2.8 12.6

Oakland-Hayward-Berkeley

1,393,942 1,337,467 1,399,750 1,370,000 36,792 183,942 44,067 184,005 2.6 13.8 3.1 13.4

San Francisco-Redwood City-South San Francisco

1,029,427 982,948 1,035,359 1,012,263 19,277 118,441 23,442 118,914 1.9 12.0 2.3 11.7

San Rafael

138,325 127,663 139,248 133,049 2,729 13,424 3,352 13,338 2.0 10.5 2.4 10.0

District of Columbia

408,260 386,742 412,636 397,766 21,301 32,680 24,062 35,673 5.2 8.5 5.8 9.0

Washington-Arlington-Alexandria(2)

3,452,965 3,358,412 3,489,162 3,437,663 103,578 299,108 115,882 288,117 3.0 8.9 3.3 8.4

Silver Spring-Frederick-Rockville(3)

695,856 673,257 705,686 697,256 20,270 60,781 23,350 55,745 2.9 9.0 3.3 8.0

Washington-Arlington-Alexandria(2)

2,757,109 2,685,155 2,783,476 2,740,407 83,308 238,327 92,532 232,372 3.0 8.9 3.3 8.5

Florida

10,297,648 9,651,892 10,318,834 9,789,069 310,611 1,304,072 344,231 1,045,481 3.0 13.5 3.3 10.7

Miami-Fort Lauderdale-West Palm Beach

3,147,395 2,876,540 3,144,322 2,940,463 87,247 384,706 93,941 333,308 2.8 13.4 3.0 11.3

Fort Lauderdale-Pompano Beach-Deerfield Beach

1,038,920 979,822 1,042,537 992,435 30,934 148,708 33,791 117,120 3.0 15.2 3.2 11.8

Miami-Miami Beach-Kendall

1,374,809 1,220,976 1,369,579 1,269,957 33,538 146,069 34,494 145,655 2.4 12.0 2.5 11.5

West Palm Beach-Boca Raton-Delray Beach

733,666 675,742 732,206 678,071 22,775 89,929 25,656 70,533 3.1 13.3 3.5 10.4

Illinois

6,416,363 6,283,576 6,517,399 6,559,573 222,493 931,965 267,575 958,349 3.5 14.8 4.1 14.6

Chicago-Naperville-Elgin(2)

4,828,532 4,806,063 4,930,924 5,006,583 163,684 733,053 200,045 780,308 3.4 15.3 4.1 15.6

Chicago-Naperville-Arlington Heights

3,694,475 3,715,509 3,778,783 3,870,973 123,584 577,485 154,332 633,901 3.3 15.5 4.1 16.4

Elgin

327,772 304,372 331,558 321,795 11,505 45,320 13,179 42,303 3.5 14.9 4.0 13.1

Gary(3)

341,945 347,667 346,087 355,402 13,042 52,763 14,799 52,631 3.8 15.2 4.3 14.8

Lake County-Kenosha County(2)

464,340 438,515 474,496 458,413 15,553 57,485 17,735 51,473 3.3 13.1 3.7 11.2

Massachusetts

3,790,731 3,525,512 3,851,461 3,713,361 109,174 582,796 120,601 648,604 2.9 16.5 3.1 17.5

Boston-Cambridge-Nashua(2)

2,809,844 2,615,118 2,852,718 2,743,087 74,261 422,746 82,005 462,978 2.6 16.2 2.9 16.9

Boston-Cambridge-Newton

1,677,021 1,544,597 1,703,502 1,622,085 41,992 236,286 46,630 269,121 2.5 15.3 2.7 16.6

Brockton-Bridgewater-Easton

111,383 107,294 112,317 112,620 3,432 21,457 3,909 23,411 3.1 20.0 3.5 20.8

Framingham

162,198 149,308 164,854 158,009 3,956 20,573 4,283 23,052 2.4 13.8 2.6 14.6

Haverhill-Newburyport-Amesbury Town(2)

118,646 108,947 121,291 114,083 3,215 18,407 3,485 18,035 2.7 16.9 2.9 15.8

Lawrence-Methuen Town-Salem(2)

98,986 97,168 100,438 102,413 3,794 21,904 4,237 23,968 3.8 22.5 4.2 23.4

Lowell-Billerica-Chelmsford(2)

197,826 182,958 200,623 190,628 5,562 29,528 6,098 32,099 2.8 16.1 3.0 16.8

Lynn-Saugus-Marblehead

86,588 83,456 87,807 88,613 2,537 16,932 2,796 19,306 2.9 20.3 3.2 21.8

Nashua(2)

176,482 168,650 179,349 174,330 4,538 26,088 4,781 20,464 2.6 15.5 2.7 11.7

Peabody-Salem-Beverly

93,642 89,371 94,478 93,435 2,592 15,594 2,809 17,222 2.8 17.4 3.0 18.4

Taunton-Middleborough-Norton

87,072 83,369 88,059 86,871 2,643 15,977 2,977 16,300 3.0 19.2 3.4 18.8

Michigan

4,923,525 4,765,123 4,971,319 4,993,785 184,604 991,814 212,011 743,803 3.7 20.8 4.3 14.9

Detroit-Warren-Dearborn

2,139,667 1,935,243 2,159,216 2,053,738 82,283 460,482 95,839 366,269 3.8 23.8 4.4 17.8

Detroit-Dearborn-Livonia

797,188 737,185 804,409 779,293 36,524 195,615 42,322 160,937 4.6 26.5 5.3 20.7

Warren-Troy-Farmington Hills

1,342,478 1,198,058 1,354,808 1,274,445 45,758 264,866 53,517 205,333 3.4 22.1 4.0 16.1

New York

9,457,173 9,064,228 9,538,972 9,441,085 345,064 1,285,375 363,430 1,468,753 3.6 14.2 3.8 15.6

New York-Newark-Jersey City(2)

9,872,404 9,484,546 9,961,096 9,887,401 333,212 1,453,211 353,469 1,680,176 3.4 15.3 3.5 17.0

Dutchess County-Putnam County

194,460 193,073 195,887 194,184 6,414 20,375 6,977 22,110 3.3 10.6 3.6 11.4

Nassau County-Suffolk County

1,478,984 1,461,147 1,504,901 1,493,083 47,214 179,032 50,916 192,996 3.2 12.3 3.4 12.9

Newark(3)

1,223,115 1,231,356 1,239,114 1,243,394 37,700 175,601 41,763 193,897 3.1 14.3 3.4 15.6

New York-Jersey City-White Plains(2)

6,975,845 6,598,970 7,021,194 6,956,740 241,884 1,078,203 253,813 1,271,173 3.5 16.3 3.6 18.3

Pennsylvania

6,447,401 6,494,406 6,514,786 6,383,465 258,627 859,499 287,947 835,196 4.0 13.2 4.4 13.1

Philadelphia-Camden-Wilmington(2)

3,101,906 3,124,509 3,125,601 3,119,025 117,240 428,342 128,623 437,877 3.8 13.7 4.1 14.0

Camden(3)

627,184 647,702 632,427 649,474 19,395 91,413 21,517 98,367 3.1 14.1 3.4 15.1

Montgomery County-Bucks County-Chester County

1,081,755 1,062,720 1,096,775 1,048,314 35,821 123,221 38,310 121,740 3.3 11.6 3.5 11.6

Philadelphia

1,011,828 1,045,878 1,015,771 1,039,802 48,946 162,299 53,083 171,396 4.8 15.5 5.2 16.5

Wilmington(3)

381,139 368,209 380,628 381,435 13,078 51,409 15,713 46,374 3.4 14.0 4.1 12.2

Texas

13,926,760 13,464,075 14,009,283 13,844,386 435,592 1,711,194 520,024 1,231,582 3.1 12.7 3.7 8.9

Dallas-Fort Worth-Arlington

3,926,375 3,829,800 3,960,641 3,957,398 115,327 469,577 136,815 331,426 2.9 12.3 3.5 8.4

Dallas-Plano-Irving

2,643,980 2,585,170 2,669,214 2,669,803 78,161 313,049 92,125 221,370 3.0 12.1 3.5 8.3

Fort Worth-Arlington

1,282,395 1,244,630 1,291,427 1,287,595 37,166 156,528 44,690 110,056 2.9 12.6 3.5 8.5

Washington

3,888,371 3,937,461 3,919,625 3,965,560 158,985 582,895 164,802 384,109 4.1 14.8 4.2 9.7

Seattle-Tacoma-Bellevue

2,161,440 2,164,320 2,163,471 2,223,411 69,343 330,228 72,654 216,571 3.2 15.3 3.4 9.7

Seattle-Bellevue-Everett

1,723,907 1,703,841 1,725,228 1,777,513 47,034 252,629 49,532 165,496 2.7 14.8 2.9 9.3

Tacoma-Lakewood

437,533 460,479 438,243 445,898 22,309 77,599 23,122 51,075 5.1 16.9 5.3 11.5

Footnotes
(1) These 11 areas contain all of the 38 metropolitan divisions.
(2) Part of the area (or division) is in one or more adjacent states.
(3) All of the division is in one or more adjacent states.
(p) Preliminary

NOTE: Data refer to place of residence. Area delineations are based on Office of Management and Budget Bulletin No. 18-03, dated April 10, 2018, and are available on the BLS website at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan New England City and Town Areas (NECTAs), while areas in other states are county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, NJ, are totally outside the states under which their metropolitan areas are listed. For Washington-Arlington-Alexandria, DC-VA-MD-WV, the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision the following month.


ESTABLISHMENT DATA
NOT SEASONALLY ADJUSTED
Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted
[In thousands]
State and area May June Change from
June 2019 to June 2020(p)
2019 2020 2019 2020(p) Number Percent

Alabama

2,075.9 1,914.9 2,076.7 1,957.2 -119.5 -5.8

Anniston-Oxford-Jacksonville

47.4 42.0 47.4 43.3 -4.1 -8.6

Auburn-Opelika

66.3 63.3 66.3 61.1 -5.2 -7.8

Birmingham-Hoover

545.3 509.2 547.1 518.3 -28.8 -5.3

Daphne-Fairhope-Foley

81.8 73.7 83.1 79.7 -3.4 -4.1

Decatur

57.4 51.5 57.5 53.2 -4.3 -7.5

Dothan

59.8 55.2 60.1 56.6 -3.5 -5.8

Florence-Muscle Shoals

57.6 52.1 57.2 54.1 -3.1 -5.4

Gadsden

37.7 33.1 37.6 34.1 -3.5 -9.3

Huntsville

245.1 227.9 244.6 233.2 -11.4 -4.7