The population density of San Diego, CA was 4,311 in 2018.

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.

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

Geographic and Population Datasets Involving San Diego, CA

  • 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

    AMS San Diego Testbed - Calibration Data

    datahub.transportation.gov | Last Updated 2021-09-03T20:00:44.000Z

    The data in this repository were collected from the San Diego, California testbed, namely, I-15 from the interchange with SR-78 in the north to the interchange with SR-163 in the south, along the mainline and at the entrance ramps. This file contains information on the field observation and simulation results for speed profile from the Dallas, Texas testbed. The time reported for the speed profiles are between 2:00PM to 8:00PM in increments of 10 minutes.

  • API

    SANDAG Crime Data

    internal-sandiegocounty.data.socrata.com | Last Updated 2022-04-25T19:39:32.000Z

    SANDAG provides an annual report on crime in the San Diego region. This dataset contains data from the 2009 through 2021 editions of the report. Some data for previous years reports is updated with new editions. "San Diego County" includes all cities and unincorporated areas in San Diego County. "Sheriff - Total" includes the contract cities and the unincorporated area served by the San Diego County Sheriff's Department. California and United States data come from the FBI's Annual Crime Reports.

  • API

    Unemployment: Monthly Unemployment Rate 2015-2019

    data.livewellsd.org | Last Updated 2019-04-16T22:51:32.000Z

    Chart - Percent of the total civilian labor force that is unemployed, California and San Diego County, 2015-2018. Source: State of California, Employment Development Department, Labor Market Information Division data.

  • API

    Smart City Challenge Finalists Project Proposals - Calibration Data

    datahub.transportation.gov | Last Updated 2020-09-17T20:00:42.000Z

    Analysis of the projects proposed by the seven finalists to USDOT's Smart City Challenge, including challenge addressed, proposed project category, and project description. The time reported for the speed profiles are between 2:00PM to 8:00PM in increments of 10 minutes.

  • API

    COVID-19 Vaccine Doses Given to San Franciscans by Demographics Over Time

    data.sfgov.org | Last Updated 2022-08-06T15:19:30.000Z

    <strong>A. SUMMARY</strong> This dataset represents doses of COVID-19 vaccine administered in California to San Francisco residents over time. All vaccines given to people who live in San Francisco are included, no matter where the vaccination took place (the vaccine may have been administered in San Francisco or outside of San Francisco). The data are broken down by multiple demographic stratifications. <strong>B. HOW THE DATASET IS CREATED</strong> Information on doses administered to those who live in San Francisco is from the <a href="https://cairweb.org/about-cair/">California Immunization Registry (CAIR)</a>, run by the California Department of Public Health (CDPH). The information on individuals’ city of residence, age, race, and ethnicity are also recorded in CAIR and are self-reported at the time of vaccine administration. In order to estimate the percent of San Franciscans vaccinated, we provide <a href="https://data.census.gov/cedsci/table?q=popualtion%20age&g=0500000US06075&tid=ACSST5Y2019.S0101&hidePreview=false">the same 2019 five-year American Community Survey population estimates</a> that are used in <a href="https://data.sfgov.org/stories/s/COVID-19-Vaccinations-Progress/7mye-zncy/">our public dashboards</a>. <strong>C. UPDATE PROCESS</strong> Updated daily via automated process <strong>D. HOW TO USE THIS DATASET</strong> Before analysis, you must filter the dataset to the desired stratification of data using the OVERALL_SEGMENT column. For example, filtering OVERALL_SEGMENT to "Ages 5+ by Age Bracket, Administered by All Providers" will filter the data to residents 5 and over whose vaccinations were administered by any provider. You can then further segment the data and calculate percentages by Age Brackets. If you filter OVERALL_SEGMENT to "Ages 65+ by Race/Ethnicity, Administered by DPH Only", you will see the race/ethnicity breakdown for residents aged 65+ who received vaccinations from San Francisco’s Department of Public Health (DPH).

  • API

    COVID Vaccinations Given to SF Residents Over Time

    data.sfgov.org | Last Updated 2022-08-06T15:17:34.000Z

    <strong>A. SUMMARY</strong> This dataset represents the COVID-19 vaccinations given to San Franciscans over time. All vaccines given to people who live in San Francisco are included, no matter where the vaccination took place (the vaccine may have been administered in San Francisco or outside of San Francisco). <strong>B. HOW THE DATASET IS CREATED</strong> Information on doses administered to those who live in San Francisco is from the California Immunization Registry (CAIR), run by the California Department of Public Health (CDPH). <strong>C. UPDATE PROCESS</strong> Updated daily via automated process <strong>D. HOW TO USE THIS DATASET</strong> Different vaccines have different dosage requirements. For example, the Moderna and the Pfizer vaccines require two doses in order for a resident to complete their primary vaccine series (as of December 21, 2021). Each dose is recorded separately in its respective dataset column. Other vaccines, such as Johnson & Johnson, would only require a single dose for a resident to complete their primary vaccine series (as of December 21, 2021). The Pfizer vaccine for children under 5 requires three separate doses. Single dose vaccines counts are recorded in a separate column. Summing the NEW_1ST_DOSES, NEW_2ND_DOSES, NEW_SINGLE_DOSES columns would give you the total count of primary vaccine series doses administered on a given day. To count the number of individuals who have completed their primary vaccine series on a given day, use the NEW_SERIES_COMPLETED column. To count the number of individuals vaccinated (with any primary series dose) for the first time on a given day, use the NEW_RECIPIENTS column. To count the number of individuals who got a vaccine booster on a given day, use the NEW_BOOSTER_RECIPIENTS column. To count the number of booster doses administered on a given day, use the NEW_BOOSTER_DOSES column. To count the total number of individuals who have received a booster over time, use the CUMULATIVE_BOOSTER_RECIPIENTS column. To count the total number of booster doses that have been administered over time, use the CUMULATIVE_BOOSTER_DOSES column. In <a href="https://data.sfgov.org/stories/s/COVID-19-Vaccinations-Progress/7mye-zncy/">our public dashboards</a> we combine this dataset with <a href="https://data.census.gov/cedsci/table?q=popualtion%20age&g=0500000US06075&tid=ACSST5Y2019.S0101&hidePreview=false">the US Census's 2019 five-year American Community Survey population estimates</a> to estimate the percent of San Franciscans vaccinated.

  • API

    Air Pollution Equipment Permits

    internal-sandiegocounty.data.socrata.com | Last Updated 2022-08-06T17:00:31.000Z

    Permitted equipment by the Air Pollution Control District in San Diego County, CA (updated daily) .

  • API

    Leading Causes of Death in San Diego County

    internal-sandiegocounty.data.socrata.com | Last Updated 2022-06-29T21:57:11.000Z

    Leading Causes of Death in San Diego County, by Gender, Race/Ethnicity, HHSA Region and Supervisorial District. Gender and race/ethnicity are at the county geographic level. Notes: 1. Rank is based on total number of deaths in each of the National Center for Health Statistics (NCHS) "rankable" categories. The top 15 leading causes of death presented here are based on the San Diego County residents for each year. 2. Cause of death is based on the underlying cause of death reported on death certificates as classified by ICD-10 codes. 3. Deaths for specific demographics or geographic area may not equal the total deaths for San Diego County due to missing data. § Not shown for fewer than 5 deaths. Source: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System. Prepared by County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2018.

  • API

    Income Inequality

    data.lacounty.gov | Last Updated 2019-12-06T22:53:45.000Z

    Data contains the Gini Index for LA County and four comparison geographies for years 2006-2017. The Gini Index is a ratio between 0 and 1 is a measure of income inequality. An index of 0 represents perfect income equality, while an index of 1 represents perfect inequality. The greater the number of the index, the greater income inequality exists.