The median earnings of Los Angeles Metro Area (CA) was $30,427 in 2013.

Earnings and Gender

Earnings and Education

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Jobs and Earnings Datasets Involving Los Angeles Metro Area (CA)

  • API

    General Fund Expenditures By Account (Los Angeles, CA)

    data.nlc.org | Last Updated 2015-04-30T19:28:02.000Z

    From the City of Los Angeles, CA open data portal: https://controllerdata.lacity.org/

  • API

    UCLA Anderson Forecast - Los Angeles City Monthly Employment Estimate Non-Seasonally Adjusted

    performance.lacity.org | Last Updated 2015-12-05T01:29:39.000Z

    The UCLA Anderson Forecast Los Angeles City Monthly Emplyoment Estimate has been developed by UCLA Anderson Forecast to provide a more accurate assessment of municipal-level employment and payroll figures than currently available. The California Economic Development Department EDD currently releases employment data for the city level, but these data are estimated based on Bureau of Labor Statistics at the county level with a fixed ratio between city and county according to the 2000 Census. (That is, EDD assumes that ratios of household employment and unemployment from City to County are unchanged since 2000.) To estimate payroll employment for the City, UCLA Anderson Forecast examines the dynamic relationship of BLS Current Employment Statistics and Quarterly Census of Employment and Wages data over time between City and County and adopts an appropriate weighted moving average method to reduce the measurement error. To estimate household employment and labor force of the City, UCLA Anderson Forecast examines and uses the dynamic relationship from BLS's Current Population Survey and American Community Survey data over time between the City and County.

  • API

    Key Characteristics of Californians Age 60 and Over

    chhs.data.ca.gov | Last Updated 2017-01-30T22:02:02.000Z

    This data set presents key demographic characteristics of Californians Age 60 and Over. This data set can be viewed by county or Area Agency on Aging Planning and Services Area. Key sociodemographic variables include: lives alone, low income, minority/non-minority, non-English speaking, and living in a rural area. This data is based on multiple federal and state sources.

  • API

    Exhausted Claims By County (All Programs)

    data.edd.ca.gov | Last Updated 2017-02-21T22:53:07.000Z

    "∙ The data provided is the number of Unemployment Insurance (UI) claims that have exhausted, regardless of the program. The data includes exhaustion counts for the regular UI and the federal extended programs.  The data counts the number of individuals who ran out of benefits in a specific program who may or may not qualify for additional benefits. For example, individuals who have exhausted a regular UI claim may qualify for a federal extension. Individuals who have exhausted all available benefits are also included in the data. The data is representative of those claims that were processed during the month and does not necessarily represent the month the final payment was made in. For example, if a claimant is entitled to benefits for the week-ending January 30, 2010, the claim might not get processed until early February and that count would display in the February data. There are a small percentage of claimants that could go back onto a training extension even after exhausting their FED-ED claim. " ∙ The data by county represents the mailing address given by the claimant at the time of filing for UI.  It is possible that an individual can reside in a different county than their mailing address.  Also, this information does not represent the county where the individual worked.  It is also possible that a claimant could have moved or changed their mailing address after filing for UI which would not be reflected here. Data for claimants residing outside of California but collecting benefits are not included in these figures nor are invalid addresses in California where a county cannot be determined. ∙ Data includes the regular UI program and the federal extended benefit programs. The Federal extended benefit programs are: ∙ Emergency Unemployment Compensation (EUC) Tier 1 - California began paying benefits in July 2008. ∙ Emergency Unemployment Compensation (EUC) Tier 2 - California began paying benefits in January 2009, payments retroactive to November 2008. ∙ Emergency Unemployment Compensation (EUC) Tier 3 - California began paying benefits in December 2009, payments retroactive to November 2009. ∙ Emergency Unemployment Compensation (EUC) Tier 4 - California began paying benefits in January 2010, payments retroactive to December 2009. ∙ FED-ED - California began paying benefits May 2009, payments retroactive to February 2009. ∙ Data may include multiple counts for the same individual. For example, a claimant could have exhausted their Regular UI claim in January and then exhausted their EUC Tier I claim in June.