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.

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

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

    data.sfgov.org | Last Updated 2020-09-30T15:31:44.000Z

    <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. Information on transmission of COVID-19 is based on case interviews with individuals who have a confirmed positive test. Individuals are asked if they have been in close contact with a known COVID-19 case. If they answer yes, transmission category is recorded as contact with a known case. If they report no contact with a known case, transmission category is recorded as community transmission. If the case is not interviewed or was not asked the question, they are counted as unknown. These data do not reflect the number of COVID-19 recoveries. The San Francisco Department of Public Health (SFDPH) is focused on caring for patients, reducing the spread of COVID-19, and tracking the surge. Recoveries happen in many settings, including homes, residential facilities, and hospitals, and are not routinely reported to the local health department. This is consistent with SFDPH reporting in the regular flu season. There are three 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</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> 3. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Gender/nhy6-gqam">COVID-19 Cases Summarized by Gender</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 Race and Ethnicity

    data.sfgov.org | Last Updated 2020-09-30T15:31:17.000Z

    <strong>A. SUMMARY</strong> This dataset represents the COVID-19 positive confirmed cases by race and ethnicity. 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. Cumulative 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> Unknowns may become known over time as more information is gathered. Race/Ethnicity groups resulting in 5 or fewer cumulative cases are dropped for privacy reasons. There are three 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-Gender/nhy6-gqam">COVID-19 Cases Summarized by Gender</a> 3. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Age-Group/sunc-2t3k">COVID-19 Cases Summarized by Age Group</a>

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    COVID-19 Cases Summarized by Age Group

    data.sfgov.org | Last Updated 2020-09-30T15:30:39.000Z

    <strong>A. SUMMARY</strong> This dataset represents the COVID-19 positive confirmed cases by age group. 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. Cumulative 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. age groups resulting in 5 or fewer cumulative 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> 3. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Gender/nhy6-gqam">COVID-19 Cases Summarized by Age Group</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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    COVID-19 Cases and Deaths Summarized by Geography

    data.sfgov.org | Last Updated 2020-09-30T14:00:32.000Z

    <strong>A. SUMMARY</strong> Medical provider confirmed COVID-19 cases and confirmed COVID-19 related deaths in San Francisco, CA aggregated by several different geographic areas and normalized by 2018 American Community Survey (ACS) 5-year estimates for population data to calculate rate per 10,000 residents. Cases and deaths are both mapped to the residence of the individual, not to where they were infected or died. For example, if one was infected in San Francisco at work but lives in the East Bay, those are not counted as SF Cases or if one dies in Zuckerberg San Francisco General but is from another county, that is also not counted in this dataset. Dataset is cumulative and covers cases going back to March 2nd, 2020 when testing began. It is updated daily. Geographic areas summarized are: 1. <a href="https://data.sfgov.org/Geographic-Locations-and-Boundaries/Analysis-Neighborhoods/p5b7-5n3h">Analysis Neighborhoods</a> 2. <a href="https://data.sfgov.org/Geographic-Locations-and-Boundaries/Census-2010-Tracts-for-San-Francisco/rarb-5ahf">Census Tracts</a> 3. <a href="https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html">Census Zip Code Tabulation Areas</a> <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 geographic areas. Counts are generated based on the number of address points that match each geographic area. The 2018 ACS estimates for population provided by the Census are used to create a rate which is equal to ([count] / [acs_population]) * 10000) representing the number of cases per 10,000 residents. <strong>C. UPDATE PROCESS</strong> Geographic analysis is scripted by SFDPH staff and synced to this dataset each day. <strong>D. HOW TO USE THIS DATASET</strong> <em>Privacy rules in effect</em> To protect privacy, certain rules are in effect: 1. Case counts greater than 0 and less than 10 are dropped - these will be null (blank) values 2. Death counts greater than 0 and less than 10 are dropped - these will be null (blank) values 3. Cases and deaths dropped altogether for areas where acs_population < 1000 <em>Rate suppression in effect where counts lower than 20</em> Rates are not calculated unless the case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology. <em>A note on Census ZIP Code Tabulation Areas (ZCTAs)</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>. <em>Row included for Citywide case counts, incidence rate, and deaths</em> A single row is included that has the Citywide case counts and incidence rate. This can be used for comparisons. Citywide will capture all cases regardless of address quality. While some cases cannot be mapped to sub-areas like Census Tracts, ongoing data quality efforts result in improved mapping on a rolling bases.

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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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    Draft Projections 2017 by Subregional Study Areas

    data.bayareametro.gov | Last Updated 2018-01-10T04:21:51.000Z

    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 Subregional Study Areas (Sphere's of Influence of Jurisdictions) in the nine county San Francisco Bay Area region.