View monthly updates and historical trends for Los Angeles, CA Unemployment Rate. Source: Bureau of Labor Statistics. Track economic data with YCharts ana…

Graph and download economic data for Unemployment Rate in Los Angeles County, CA (CALOSA7URN) from Jan 1990 to Jul 2025 about Los Angeles County, CA; Los Angeles; CA; unemployment; rate; and USA.

Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table name indicator name Universe timeframe source race notes source url

below_fpl_perc below 100% federal poverty level percent (%) Population for whom poverty status is determined 2016-2020 American Community Survey - S1703 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1703

below_200fpl_perc below 200% federal poverty level percent (%) Total population 2021 Population and Poverty Estimates of Los Angeles County Tract-City Splits by Age, Sex and Race-Ethnicity for July 1, 2021, Los Angeles, CA, April 2022 All races are Non-Hispanic LA County eGIS-Demography

median_income Median income (household) Households 2016-2020 American Community Survey - S1903 All races are Non-Hispanic; Race is that of householder https://data.census.gov/cedsci/table?q=S1903&g=0500000US06037

percapita_income Mean Per Capita Income Total population 2016-2020 American Community Survey - S1902 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1902

college_degree_any College degree AA, BA, or Higher % Population 25 years and over 2021 American Community Survey - B15002B-I Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037

graduate_professional_degree Graduate or professional degree % Population 25 years and over 2021 American Community Survey - B15002B-I Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037

unemployment_rate Unemployment Rate Population 16 years and over 2016-2020 American Community Survey - S2301 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=S2301%3A%20EMPLOYMENT%20STATUS&g=0500000US06037&tid=ACSST5Y2020.S2301

below_300fpl_food_insecure Percent of Households with Incomes <300% Federal Poverty Level That Are Food Insecure Percent of Households with Incomes <300% Federal Poverty Level 2018 Los Angeles County Health Survey

https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

below_185fpl_snap Percent of Adults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Who Are Currently Receiving Supplemental Nutrition Assistance Program (SNAP), Also Known as Calfresh Adults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Los Angeles County Health Survey 20182018 https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

B24010 Sex by Occupation for the Civilian Employed Population 16 Years and Over Civilian employed population 16 years and over

Unemployment Rate in Los Angeles County, CA was 6.40% in July of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Los Angeles County, CA reached a record high of 18.90 in May of 2020 and a record low of 4.10 in April of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Los Angeles County, CA - last updated from the United States Federal Reserve on September of 2025.

The 2019 Hardship Index data is compiled from the 2019 American Community Survey (ACS) 5-year average estimates. The Hardship Index methodology was developed by the Nelson A. Rockefeller Institute of Government to compare economic conditions of one place to another. The Index standardizes demographic and socio-economic variables, including unemployment, age dependency, education, income level, crowded housing, and poverty, and then averages them together, yielding a score on a scale of 0-100. Higher values indicate greater hardship. The index was calculated only in census tracts that had data for at least 5 of the 6 variables. For more information, see pages 27-28 of the 2013 Health Atlas, which is available as a PDF on the Los Angeles City Planning website, https://planning.lacity.gov.

Comprehensive economic data for the City of Los Angeles. Prepared by Beacon Economics.

These data were prepared in conjunction with a project using Bureau of Labor Statistics data (not provided with this collection) and the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program data to examine the relationship between unemployment and violent crime. Three separate time-series data files were created as part of this project: a national time series (Part 1), a state time series (Part 2), and a time series of data for 12 selected cities: Baltimore, Buffalo, Chicago, Columbus, Detroit, Houston, Los Angeles, Newark, New York City, Paterson (New Jersey), and Philadelphia (Part 3). Each data file was constructed to include 82 monthly time series: 26 series containing the number of Part I (crime index) offenses known to police (excluding arson) by weapon used, 26 series of the number of offenses cleared by arrest or other exceptional means by weapon used in the offense, 26 series of the number of offenses cleared by arrest or other exceptional means for persons under 18 years of age by weapon used in the offense, a population estimate series, and three date indicator series. For the national and state data, agencies from the 50 states and Washington, DC, were included in the aggregated data file if they reported at least one month of information during the year. In addition, agencies that did not report their own data (and thus had no monthly observations on crime or arrests) were included to make the aggregated population estimate as close to Census estimates as possible. For the city time series, law enforcement agencies with jurisdiction over the 12 central cities were identified and the monthly data were extracted from each UCR annual file for each of the 12 agencies. The national time-series file contains 82 time series, the state file contains 4,083 time series, and the city file contains 963 time series, each with 228 monthly observations per time series. The unit of analysis is the month of observation. Monthly crime and clearance totals are provided for homicide, negligent manslaughter, total rape, forcible rape, attempted forcible rape, total robbery, firearm robbery, knife/cutting instrument robbery, other dangerous weapon robbery, strong-arm robbery, total assault, firearm assault, knife/cutting instrument assault, other dangerous weapon assault, simple nonaggravated assault, assaults with hands/fists/feet, total burglary, burglary with forcible entry, unlawful entry-no force, attempted forcible entry, larceny-theft, motor vehicle theft, auto theft, truck and bus theft, other vehicle theft, and grand total of all actual offenses.

Introduced in 1993, the Empowerment Zone (EZ), Enterprise Community (EC) , and Renewal Community (RC) Initiatives sought to reduce unemployment and generate economic growth through the designation of Federal tax incentives and award of grants to distressed communities. Local, Tribal, and State governments interested in participating in this program were required to present comprehensive plans that included the following principles: •Strategic Visions for Change, •Community-Based Partnerships, •Economic Opportunities, and •Sustainable Community Development.

Communities selected to participate in this program embraced these principles and led projects that promoted economic development in their distressed communities.

The EZ/EC initiative was implemented in the form of three competitions authorized by Congress in 1994 (round I), 1998 (round II), and 2001 (round III). These communities utilized HUD’s PERMS system to create Implementation Plans and develop Annual Reports, which can be publicly accessed here and overall, display extensive community and economic development impacts in these distressed communities.

The EC designation expired in 2004 and EZ and RC designations generally expired at the end of 2009. However, the Tax Relief, Unemployment Insurance Re-authorization, and Job Creation Act of 2010, Pub. L. No. 111-312 extended the Empowerment Zone and DC Enterprise Zone designations to December 31, 2011.

Following the end of the EZ designation extension on December 31, 2011, the American Taxpayer Relief Act (ATRA) of 2012, signed into law by President Obama on January 2, 2013, provided for an extension of the Empowerment Zone designations until December 31, 2013. The ATRA of 2012 did not extend the designation of the DC Enterprise Zone.

For the EZ designation extension, IRS Notice 2013-38 issued on May 29, 2013 (see link under the “What’s New” heading on the left) explained a one step process stating that “any nomination for an Empowerment Zone that was in effect on December 31, 2009, is deemed amended to provide for a new termination date of December 31, 2013, unless the nominating entity sends written notification to the IRS by July 29, 2013.”

In 2023, the GDP of the Chicago-Naperville-Elgin metropolitan area amounted to ****** billion chained 2017 U.S. dollars. The GDP of the United States since 1990 can be accessed here. Economic growth and unemployment in Chicago Economic growth in Chicago, measured by the growth in Gross Domestic Product (GDP), was significant in the years between 2001 and 2022. This growth occurred in a period of growth for cities nationally as seen by growth of other major American cities such as Los Angeles and San Francisco. In contrast to Chicago’s growth, San Francisco’s growth rate demonstrated the effect of a new and booming industry. The influence of technology and internet companies saw San Francisco grow nearly ** percent in comparison to the ** percent growth in GDP achieved by Chicago. As a result, Chicago-Naperville-Elgin ranked third in Gross Metropolitan Product of the United States, by metropolitan area in 2022. The drop in GDP output in 2020 can be attributed to the COVID-19 pandemic.