The population count of San Francisco Metro Area (CA) was 4,673,221 in 2018.

Population

Population Change

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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Demographics and Population Datasets Involving San Francisco Metro Area (CA)

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    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.

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    Rate of COVID-19 Cases by Census ZIP Code Tabulation Area

    data.sfgov.org | Last Updated 2020-06-04T19:56:38.000Z

    <strong>A. SUMMARY</strong> Medical provider confirmed COVID-19 cases in San Francisco, CA aggregated by Census ZIP Code Tabulation Areas and normalized by 2017 American Community Survey (ACS) 5-year estimates for population data to calculate rate per 10,000 residents. <strong>B. HOW THE DATASET IS CREATED</strong> Addresses from medical data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the Zip Code Tabulation Areas (ZCTA) provided by the U.S. Census. Counts are generated based on the number of address points that match each ZCTA. The 2017 ACS estimates for population provided by the Census are used to create a rate which is equal to [case count] / ([zip code population]/10000) representing the number of cases per 10,000 residents. The number of cases for any zip code that has fewer than 10 confirmed COVID-19 cases has been re-coded as a null in the dataset in order to protect privacy. <strong>C. UPDATE PROCESS</strong> Geographic analysis is scripted by SFDPH staff and synced to this dataset each day between 10am and 12pm PDT. <strong>D. HOW TO USE THIS DATASET</strong> <em>Caveats and limitations</em> ZIP Code Tabulation Areas are special boundaries created by the U.S. Census based on ZIP Codes developed by the USPS. They are not, however, the same thing. ZCTAs are areal representations of routes. <a href="https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html">Read how the Census develops ZCTAs on their website</a>.

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    COVID-19 Cases Summarized by Race and Ethnicity

    data.sfgov.org | Last Updated 2020-06-04T15:45:53.000Z

    <strong>A. SUMMARY</strong> This dataset represents the COVID-19 positive confirmed cases and deaths by day and transmission type. Demographic and transmission data are based on information reported from case interviews, laboratories, and providers. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. <strong>B. HOW THE DATASET IS CREATED</strong> Information on cases and deaths including case demographic and transmission details is reported from a combination of data sources including electronic and faxed laboratory reports, case interviews, medical providers, and electronic medical record systems. These multiple streams of data are merged, deduplicated, undergo quality assurance and other data verification processes, and are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19. <strong>C. UPDATE PROCESS</strong> Updated daily, dataset uploaded manually by staff <strong>D. HOW TO USE THIS DATASET</strong> Unknowns may become known over time as more information is gathered. Combinations of race and ethnicity resulting in 5 or fewer cases are dropped for privacy reasons. There are two other datasets related to cases: 1. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Date-Transmission-and/tvq9-ec9w">COVID-19 Cases Summarized by Date, Transmission and Case Disposition</a> 2. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Age-Group-and-Gender/sunc-2t3k">COVID-19 Cases Summarized by Age Group and Gender</a>

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    COVID-19 Cases Summarized by Date, Transmission and Case Disposition

    data.sfgov.org | Last Updated 2020-06-04T15:45:43.000Z

    <strong>A. SUMMARY</strong> This dataset represents the COVID-19 positive confirmed cases and deaths by day and transmission type. Demographic and transmission data are based on information reported from case interviews, laboratories, and providers. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. <strong>B. HOW THE DATASET IS CREATED</strong> Information on cases and deaths including case demographic and transmission details is reported from a combination of data sources including electronic and faxed laboratory reports, case interviews, medical providers, and electronic medical record systems. These multiple streams of data are merged, deduplicated, undergo quality assurance and other data verification processes, and are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19. <strong>C. UPDATE PROCESS</strong> Updated daily, dataset uploaded manually by staff <strong>D. HOW TO USE THIS DATASET</strong> Case counts are provided by category of the disposition. Confirmed are those cases where lab testing was positive, deaths are those cases of infection resulting in death. To get counts in either category, you must filter the Case Type Disposition or pivot the data. Transmission Category can be Community, Contact or Unknown. Unknowns may become known as more information becomes available about cases. There are two other datasets related to cases: 1. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Age-Group-and-Gender/sunc-2t3k">COVID-19 Cases Summarized by Age Group and Gender</a> 2. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Race-and-Ethnicity/vqqm-nsqg">COVID-19 Cases Summarized by Race and Ethnicity</a>

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    Projections 2040 by Jurisdiction

    data.bayareametro.gov | Last Updated 2019-05-01T23:00:49.000Z

    Forecasts for Year 2010 through 2040 containing values for Households by Inc. Quartile; Households; Jobs; Population by Gender, Age; Units; Employed Residents; Population by Age; Population for jurisdictions in the nine county San Francisco Bay Area region.

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    COVID-19 Cases Summarized by Age Group and Gender

    data.sfgov.org | Last Updated 2020-06-04T15:45:34.000Z

    <strong>A. SUMMARY</strong> This dataset represents the COVID-19 positive confirmed cases age and gender. Demographic and transmission data are based on information reported from case interviews, laboratories, and providers. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. Counts of 5 or fewer are excluded from the dataset. <strong>B. HOW THE DATASET IS CREATED</strong> Information on cases and deaths including case demographic and transmission details is reported from a combination of data sources including electronic and faxed laboratory reports, case interviews, medical providers, and electronic medical record systems. These multiple streams of data are merged, deduplicated, undergo quality assurance and other data verification processes, and are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19. Data are prepared by close of business daily for public display. <strong>C. UPDATE PROCESS</strong> Updated daily, dataset uploaded manually by staff <strong>D. HOW TO USE THIS DATASET</strong> Age groups are binned in to the following groups to minimize re-identifcation: <18, 18-30, 31-40, 41-50, 51-60, 61-70, 71-80, 81+, Unknown Unknowns may become known over time as more information is gathered. Combinations of age groups and gender resulting in 5 or fewer cases are dropped for privacy reasons. There are two other datasets related to cases: 1. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Date-Transmission-and/tvq9-ec9w">COVID-19 Cases Summarized by Date, Transmission and Case Disposition</a> 2. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Race-and-Ethnicity/vqqm-nsqg">COVID-19 Cases Summarized by Race and Ethnicity</a>

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    Demographics For Unincorporated Areas In San Mateo County

    datahub.smcgov.org | Last Updated 2018-10-25T21:45:46.000Z

    Demographics, including median income, total population, race, ethnicity, and age for unincorporated areas in San Mateo County. This data comes from the 2012 American Community Survey 5 year estimates DP03 and DP05 files. They Sky Londa area is located within two Census Tracts. The data for Sky Londa is the sum of both of those Census Tracts. Users of this data should take this into account when using data for Sky Londa.

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    Final Projections 2017 By Jurisdiction

    data.bayareametro.gov | Last Updated 2018-09-07T19:52:32.000Z

    Forecasts for Year 2010 through 2040 containing values for Households by Inc. Quartile; Households; Jobs; Population by Gender, Age; Units; Employed Residents; Population by Age; Population for jurisdictions in the nine county San Francisco Bay Area region.

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    Economy and Education Indicators, San Bernardino County and California, 2005-2014

    data.communityvitalsigns.org | Last Updated 2016-03-01T19:43:41.000Z

    This dataset contains high school graduation rates from 2010-2014 for San Bernardino County and California (from California Department of Education, California Longitudinal Pupil Achievement Data System, Cohort Outcome Data by Gender Report), and percentage of the adult population age 25 years and older with a bachelor's degree or higher, median household income in the past 12 months (adjusted annually for inflation), and unemployment rate for the population age 16 years and older, for San Bernardino County and California from 2005-2014 (U.S. Census Bureau, American Community Survey 1-Year Estimates, Tables B19013, S1501 and S2301).

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    Labor Force Demographic Characteristics by Commuting Mode Split: 2012 - 2016

    data.cambridgema.gov | Last Updated 2019-09-17T17:16:51.000Z

    This data set provides demographic and journey to work characteristics of the Cambridge Labor Force by primary mode of their journey to work. Attributes include age, presence of children, racial and ethnic minority status, vehicles available, time leaving home, time spent traveling, and annual household income. The data set originates from a special tabulation of the American Community Survey - the 2012 - 2016 version of the Census Transportation Planning Products (CTPP). The Cambridge Labor Force consist of all persons who live in Cambridge who work or are actively seeking employment. For more information on Journey to Work data in Cambridge, please see the full 2015 report (https://www.cambridgema.gov/~/media/Files/CDD/FactsandMaps/profiles/moving_forward_20150930.ashx?la=en).