The population density of Solano County, CA was 529 in 2017.

Population Density

Population Density is computed by dividing the total population by Land Area Per Square Mile.

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.

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Geographic and Population Datasets Involving Solano County, CA

  • API

    Personal Income Tax Statistics By Zip Code

    data.ftb.ca.gov | Last Updated 2019-10-30T22:22:42.000Z

    This dataset contains data from California resident tax returns filed with California adjusted gross income and self-assessed tax listed by zip code. This dataset contains data for taxable years 1992 to 2016.

  • API

    WAOFM - Census - Population and Housing, 2000 and 2010

    data.wa.gov | Last Updated 2016-08-09T16:23:33.000Z

    Population and housing information extracted from decennial census Public Law 94-171 redistricting summary files for Washington state for years 2000 and 2010.

  • API

    San Mateo County And California Crime Rates 2000-2014

    performance.smcgov.org | Last Updated 2016-08-31T20:40:07.000Z

    Violent and property crime rates per 100,000 population for San Mateo County and the State of California. The total crimes used to calculate the rates for San Mateo County include data from: Sheriff's Department Unincorporated, Atherton, Belmont, Brisbane, Broadmoor, Burlingame, Colma, Daly City, East Palo Alto, Foster City, Half Moon Bay, Hillsborough, Menlo Park, Millbrae, Pacifica, Redwood City, San Bruno, San Carlos, San Mateo, South San Francisco, Bay Area DPR, BART, Union Pacific Railroad, and CA Highway Patrol.

  • API

    WAOFM - Census - Population Density by County by Decade, 1900 to 2010

    data.wa.gov | Last Updated 2016-08-09T16:28:24.000Z

    Washington state population density by county by decade 1900 to 2010.

  • API

    Local Area Unemployment Statistics (LAUS), Annual Average

    data.edd.ca.gov | Last Updated 2019-10-08T20:56:10.000Z

    This dataset contains the Local Area Unemployment Statistics (LAUS), annual averages from 1990 to 2018. The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,300 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State employment security agencies prepare under agreement with BLS. Estimates for the remainder of the substate labor market areas are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, State UI systems, and the decennial census, to create estimates that are adjusted to the statewide measures of employment and unemployment. Below the labor market area level, estimates are prepared using disaggregation techniques based on inputs from the decennial census, annual population estimates, and current UI data

  • API

    Local Area Unemployment Statistics (LAUS)

    data.edd.ca.gov | Last Updated 2019-10-18T18:31:44.000Z

    The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,300 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State employment security agencies prepare under agreement with BLS. Estimates for the remainder of the substate labor market areas are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, State UI systems, and the decennial census, to create estimates that are adjusted to the statewide measures of employment and unemployment. Below the labor market area level, estimates are prepared using disaggregation techniques based on inputs from the decennial census, annual population estimates, and current UI data

  • API

    Choose Maryland: Compare Counties - Demographics

    opendata.maryland.gov | Last Updated 2019-07-16T15:59:38.000Z

    Population profile - total, rate of change, age, and density.

  • API

    Solano County

    data.debtwatch.treasurer.ca.gov | Last Updated 2019-10-22T23:07:42.000Z

    The principal amounts, sale dates, interest rates, terms, purposes, ratings, costs of issuance, financing team participants, issuance documents, and annual reporting (if applicable), among 67 other data points required under California Government Code section 8855, of the various types of debt issued by all local government agencies in Solano County.

  • API

    Deer Tick Surveillance: Adults (Oct to Dec) excluding Powassan virus: Beginning 2008

    health.data.ny.gov | Last Updated 2019-05-30T13:01:20.000Z

    This dataset provides the results from collecting and testing adult deer ticks, also known as blacklegged ticks, or by their scientific name <i>Ixodes scapularis</i>. Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen. Adult deer ticks are individually tested for different bacteria and parasites, which includes the bacteria responsible for Lyme disease. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases. These data only provide adult tick infections at a precise location and at one point in time. Both measures, tick population density and percentage, of ticks infected with the specified bacteria or parasite can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county. Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

  • API

    Benefits Paid By County (All Programs)

    data.edd.ca.gov | Last Updated 2019-09-30T18:53:21.000Z

    ∙ The data provided is the amount of Unemployment Insurance (UI) benefits paid to claimants.  ∙ 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.