The employment and unemployment indicator shows several data points. The first figure is the number of people in the labor force, which includes the number of people who are either working or looking for work. The second two figures, the number of people who are employed and the number of people who are unemployed, are the two subcategories of the labor force. The unemployment rate is a calculation of the number of people who are in the labor force and unemployed as a percentage of the total number of people in the labor force.

The unemployment rate does not include people who are not employed and not in the labor force. This includes adults who are neither working nor looking for work. For example, full-time students may choose not to seek any employment during their college career, and are thus not considered in the unemployment rate. Stay-at-home parents and other caregivers are also considered outside of the labor force, and therefore outside the scope of the unemployment rate.

The unemployment rate is a key economic indicator, and is illustrative of economic conditions in the county at the individual scale.

There are additional considerations to the unemployment rate. Because it does not count those who are outside the labor force, it can exclude individuals who were looking for a job previously, but have since given up. The impact of this on the overall unemployment rate is difficult to quantify, but it is important to note because it shows that no statistic is perfect.

The unemployment rates for Champaign County, the City of Champaign, and the City of Urbana are extremely similar between 2000 and 2023.

All three areas saw a dramatic increase in the unemployment rate between 2006 and 2009. The unemployment rates for all three areas decreased overall between 2010 and 2019. However, the unemployment rate in all three areas rose sharply in 2020 due to the effects of the COVID-19 pandemic. The unemployment rate in all three areas dropped again in 2021 as pandemic restrictions were removed, and were almost back to 2019 rates in 2022. However, the unemployment rate in all three areas rose slightly from 2022 to 2023.

This data is sourced from the Illinois Department of Employment Security’s Local Area Unemployment Statistics (LAUS), and from the U.S. Bureau of Labor Statistics.

Sources: Illinois Department of Employment Security, Local Area Unemployment Statistics (LAUS); U.S. Bureau of Labor Statistics.

Graph and download economic data for Employed Persons in Gwinnett County, GA (LAUCN131350000000005) from Jan 1990 to Apr 2025 about Gwinnett County, GA; Atlanta; GA; household survey; employment; persons; and USA.

The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

This feature set contains jobs and employment projections from Projections 2040 for the San Francisco Bay Region. This forecast represents job and employment projections resulting from Plan Bay Area 2040. Numbers are provided by county. Jobs and employment numbers are included for 2010 (two versions), 2015, 2020, 2025, 2030, 2035, and 2040. For 2010, two data points are provided:A tabulation (base year A) from the 2010 model simulation (base year A); and(Preferred) A tabulation (base year B) from the 2010 pre-run microdata, designed to approximate (but may still differ from) Census 2010 counts.Projection data is included for:Agriculture and natural resources jobsFinancial and professional service jobsHealth, educational, and recreational service jobsManufacturing, wholesale, and transportation jobsInformation, government, and construction jobsRetail jobsTotal jobsEmployed residentsThis feature set was assembled using unclipped county features. For those who prefer Projections 2040 data using county features with ocean and bay waters clipped out, the data in this feature service can be joined to San Francisco Bay Region Counties (clipped).Other Projections 2040 feature sets:Households and population per countyHouseholds and population per jurisdiction (incorporated place and unincorporated county)Households and population per Census TractJobs and employment per jurisdiction (incorporated place and unincorporated county)Jobs per Census TractFemale population, by age range, per countyFemale population, by age range, per jurisdiction (incorporated place and unincorporated county)Male population, by age range, per countyMale population, by age range, per jurisdiction (incorporated place and unincorporated county)Total population, by age range, per countyTotal population, by age range, per jurisdiction (incorporated place and unincorporated county)

Graph and download economic data for Employed Persons in Gordon County, GA (LAUCN131290000000005) from Jan 1990 to May 2025 about Gordon County, GA; GA; household survey; employment; persons; and USA.

This dataset provides values for EMPLOYMENT RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Employed Persons in Henry County, VA (LAUCN510890000000005) from Jan 1990 to May 2025 about Henry County, VA; VA; household survey; employment; persons; and USA.

Employment rose in all 12 large counties in Virginia from March 2022 to March 2023. Loudoun County and Chesterfield County had the largest over-the-year increases in employment at 4.3 percent and 3.9 percent. Among the 12 largest counties in Virginia, employment was highest in Fairfax County (624,587) in March 2023. Within Fairfax County’s private industry, professional, scientific, and technical services accounted for the largest employment. Together, the 12 largest Virginia counties accounted for 55.0 percent of total employment within the state. Nationwide, the 360 largest counties made up 73.0 percent of total U.S. employment.

Source: U.S. Census Bureau; American Community Survey, 2019-2023 American Community Survey 5-Year Estimates, Table DP03; generated by CCRPC staff; using data.census.gov; https://data.census.gov/cedsci/; (26 February 2025).

VITAL SIGNS INDICATOR Jobs (LU2)

FULL MEASURE NAME Employment estimates by place of work

LAST UPDATED October 2019

DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees.

DATA SOURCE California Employment Development Department: Current Employment Statistics 1990-2018 http://www.labormarketinfo.edd.ca.gov/

U.S. Census Bureau: LODES Data Longitudinal Employer-Household Dynamics Program (2005-2010) http://lehd.ces.census.gov/

U.S. Census Bureau: American Community Survey 5-Year Estimates, Tables S0804 (2010) and B08604 (2010-2017) https://factfinder.census.gov/

Bureau of Labor Statistics: Current Employment Statistics Table D-3: Employees on nonfarm payrolls (1990-2018) http://www.bls.gov/data/

METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment, by place of employment, for California counties. The Bureau of Labor Statistics (BLS) provides estimates of employment for metropolitan areas outside of the Bay Area. Annual employment data are derived from monthly estimates and thus reflect “annual average employment.” Employment estimates outside of the Bay Area do not include farm employment. For the metropolitan area comparison, farm employment was removed from Bay Area employment totals. Both EDD and BLS data report only wage and salary jobs, not the self-employed.

For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of sub-county city groupings varies from one (San Francisco and San Jose counties) to four (Santa Clara County). Estimates for sub-county areas are the sums of city-level estimates from the U.S. Census Bureau: American Community Survey (ACS) 2010-2017.

The following incorporated cities and towns are included in each sub-county area: North Alameda County – Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont East Alameda County - Dublin, Livermore, Pleasanton South Alameda County - Fremont, Hayward, Newark, San Leandro, Union City Central Contra Costa County - Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek East Contra Costa County - Antioch, Brentwood, Oakley, Pittsburg West Contra Costa County - El Cerrito, Hercules, Pinole, Richmond, San Pablo Marin – all incorporated cities and towns Napa – all incorporated cities and towns San Francisco – San Francisco North San Mateo - Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco Central San Mateo - Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo South San Mateo - East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside North Santa Clara - Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale San Jose – San Jose Southwest Santa Clara - Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga South Santa Clara - Gilroy, Morgan Hill East Solano - Dixon, Fairfield, Rio Vista, Suisun City, Vacaville South Solano - Benicia, Vallejo North Sonoma - Cloverdale, Healdsburg, Windsor South Sonoma - Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma

Source: U.S. Census Bureau; American Community Survey, 2019-2023 American Community Survey 5-Year Estimates, Table S2301; generated by CCRPC staff; using data.census.gov; https://data.census.gov/cedsci/; (18 February 2025).

In 2022, New York County generated the most tourism-related jobs in the state of New York, accounting for over 210 thousand direct, indirect, and induced jobs. The county with the second-highest tourism-generated employment was Queens County, with around 81.5 thousand jobs.

Graph and download economic data for Employed Persons in Gogebic County, MI (LAUCN260530000000005) from Jan 1990 to May 2025 about Gogebic County, MI; MI; household survey; employment; persons; and USA.

Graph and download economic data for Employed Persons in Aroostook County, ME (LAUCN230030000000005) from Jan 1990 to May 2025 about Aroostook County, ME; ME; household survey; employment; persons; and USA.

Graph and download economic data for Employed Persons in Moore County, NC (LAUCN371250000000005) from Jan 1990 to May 2025 about Moore County, NC; NC; household survey; employment; persons; and USA.

Graph and download economic data for Employed Persons in Kenosha County, WI (LAUCN550590000000005) from Jan 1990 to May 2025 about Kenosha County, WI; Chicago; WI; household survey; employment; persons; and USA.

Graph and download economic data for Employed Persons in Alameda County, CA (LAUCN060010000000005) from Jan 1990 to May 2025 about Alameda County, CA; San Francisco; CA; household survey; employment; persons; and USA.

Graph and download economic data for Employed Persons in Martin County, FL (LAUCN120850000000005A) from 1990 to 2024 about Martin County, FL; Port St. Lucie; FL; household survey; employment; persons; and USA.

Graph and download economic data for Employed Persons in Woodbury County, IA (LAUCN191930000000005) from Jan 1990 to Apr 2025 about Woodbury County, IA; Sioux City; IA; household survey; employment; persons; and USA.

Graph and download economic data for Employed Persons in York County, SC (LAUCN450910000000005) from Jan 1990 to Apr 2025 about York County, SC; Charlotte; SC; household survey; employment; persons; and USA.