The population rate of change of San Francisco Metro Area (CA) was 1.24% in 2013.

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.

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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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    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 and Deaths Summarized by Geography

    data.sfgov.org | Last Updated 2023-02-02T13:05:38.000Z

    <strong>Note: On 1/31/2023 we updated our data to reflect the 2020 Census Bureau American Community Survey (ACS) San Francisco Population estimates.</strong> <strong>Note: On 1/31/2023 we implemented system updates to streamline and improve our geo-coded data, resulting in small shifts in our case and death data by geography.</strong> <strong>Note: On 1/31/2023 we renamed the column "last_updated_at" to "data_as_of".</strong> <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 2016-2020 American Community Survey (ACS) 5-year estimates for population data to calculate rate per 10,000 residents. On September 12, 2021, a new case definition of COVID-19 was introduced that includes criteria for enumerating new infections after previous probable or confirmed infections (also known as reinfections). A reinfection is defined as a confirmed positive PCR lab test more than 90 days after a positive PCR or antigen test. The first reinfection case was identified on December 7, 2021. 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 3/2/2020 when testing began. 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 2016-2020 American Community Survey (ACS) population estimates provided by the Census are used to create a rate which is equal to <i>([count] / [acs_population]) * 10000)</i> 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 daily at 7:30 Pacific Time. <strong>D. HOW TO USE THIS DATASET</strong> San Francisco population estimates for geographic regions can be found in a <a href="https://data.sfgov.org/d/35v5-seg9">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). <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/guid

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    COVID-19 Testing by Race/Ethnicity Over Time

    data.sfgov.org | Last Updated 2023-02-02T13:02:02.000Z

    <strong>Note: On 1/31/2023 we updated our data to reflect the 2020 Census Bureau American Community Survey (ACS) San Francisco Population estimates.</strong> <strong>Note: On 1/31/2023 we renamed the column "last_updated_at" to "data_as_of".</strong> <strong>A. SUMMARY</strong> This dataset includes San Francisco COVID-19 tests by race/ethnicity and by date. This dataset represents the daily count of tests collected, and the breakdown of test results (positive, negative, or indeterminate). Tests in this dataset include all those collected from persons who listed San Francisco as their home address at the time of testing. It also includes tests that were collected by San Francisco providers for persons who were missing a locating address. This dataset does not include tests for residents listing a locating address outside of San Francisco, even if they were tested in San Francisco. The data were de-duplicated by individual and date, so if a person gets tested multiple times on different dates, all tests will be included in this dataset (on the day each test was collected). If a person tested multiple times on the same date, only one test is included from that date. When there are multiple tests on the same date, a positive result, if one exists, will always be selected as the record for the person. If a PCR and antigen test are taken on the same day, the PCR test will supersede. If a person tests multiple times on the same day and the results are all the same (e.g. all negative or all positive) then the first test done is selected as the record for the person. <strong>The total number of positive test results is not equal to the total number of COVID-19 cases in San Francisco.</strong> Each positive test result is investigated by the health department. While the city tries to only report on tests for San Francisco residents (or tests in San Francisco for those with no locating address listed), some test results purported to be for San Francisco residents are actually for people living outside the city. This can be discovered during a case investigation or data quality assurance. In such an instance, the test would be counted as a positive test in the SF data but would not be counted as a COVID-19 case in San Francisco. If a person tests positive for COVID-19 on different dates, they would be included each of those times in the testing data but only one case. To track the number of cases by race/ethnicity, see this dashboard: https://sf.gov/data/covid-19-population-characteristics#race-or-ethnicity- When a person gets tested for COVID-19, they may be asked to report information about themselves. One piece of information that might be requested is a person's race and ethnicity. These data are often incomplete in the laboratory and provider reports of the test results sent to the health department. The data can be missing or incomplete for several possible reasons: • The person was not asked about their race and ethnicity. • The person was asked, but refused to answer. • The person answered, but the testing provider did not include the person's answers in the reports. • The testing provider reported the person's answers in a format that could not be used by the health department. For any of these reasons, a person's race/ethnicity will be recorded in the dataset as “Unknown.” <strong>B. NOTE ON RACE/ETHNICITY</strong> The different values for Race/Ethnicity in this dataset are "Asian;" "Black or African American;" "Hispanic or Latino/a, all races;" "American Indian or Alaska Native;" "Native Hawaiian or Other Pacific Islander;" "White;" "Multi-racial;" "Other;" and “Unknown." On February 10, 2022, the method for which race/ethnicity is categorized was updated for the sake of data accuracy, clarity, and stability. The new categorization increases data clarity by emulating the methodology used by the U.S. Census in the American Community Survey. Specifically, persons who identify as "Asian," "Black or African America

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    COVID-19 Deaths Over Time

    data.sfgov.org | Last Updated 2023-02-02T13:04:14.000Z

    <strong>A. SUMMARY</strong> This dataset represents San Francisco COVID-19 related deaths by day. Deaths are included on the date the individual died. Data is lagged by five days, meaning the most date included is 5 days prior to today. All data update daily as more information becomes available. <strong>B. HOW THE DATASET IS CREATED</strong> COVID-19 deaths are suspected to be associated with COVID-19. This means COVID-19 is listed as a cause of death or significant condition on the death certificate. Deaths may be reported by: * Healthcare providers * The California Department of Public Health Vital Records * Case investigation or outbreak investigation * The Office of the Chief Medical Examiner It takes time to process this data. Because of this, data is lagged by 5 days and death totals for previous days may increase or decrease. More recent data is less reliable. Data are continually updated to maximize completeness of information and reporting on San Francisco COVID-19 deaths. <strong>C. UPDATE PROCESS</strong> Updates automatically at 05:00 AM Pacific Time each day. Redundant runs are scheduled at 07:00 AM and 09:00 AM in case of pipeline failure. Dataset will not update on the business day following any federal holiday. <strong>D. HOW TO USE THIS DATASET</strong> This dataset shows new deaths and cumulative deaths by date of death. New deaths are the count of deaths on that specific date. Cumulative deaths are the running total of all San Francisco COVID-19 deaths up to the date listed. Use the <a href="https://data.sfgov.org/d/kkr3-wq7h">Deaths by Population Characteristics Over Time dataset</a> to see deaths by different subgroups including race/ethnicity, age, gender, and homelessness. <strong>E. CHANGE LOG</strong> <UL><LI>1/22/2022 - system updates to improve timeliness and accuracy of cases and deaths data were implemented.</UL>

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    Mpox Vaccinations Given to SF Residents by Demographics

    data.sfgov.org | Last Updated 2023-01-03T19:22:03.000Z

    <strong>UPDATE 1/3/2023: Due to low case numbers, this page will no longer include vaccinations after 12/31/2022. </strong> <strong>A. SUMMARY </strong> This dataset represents doses of mpox vaccine (JYNNEOS) administered in California to residents of San Francisco ages 18 years or older. This dataset only includes doses of the JYNNEOS vaccine given on or after 5/1/2022. All vaccines given to people who live in San Francisco are included, no matter where the vaccination took place. 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://cdph.ca.gov/CAIR">California Immunization Registry (CAIR2)</a>, run by the California Department of Public Health (CDPH). Information on individuals’ city of residence, age, race, ethnicity, and sex are recorded in CAIR2 and are self-reported at the time of vaccine administration. Because CAIR2 does not include information on sexual orientation, we pull information from the San Francisco Department of Public Health’s Epic Electronic Health Record (EHR). The populations represented in our Epic data and the CAIR2 data are different. Epic data only include vaccinations administered at SFDPH managed sites to SF residents. Data notes for population characteristic types are listed below. <u>Age </u> * Data only include individuals who are 18 years of age or older. <u>Race/ethnicity </u> * The response option "Other Race" is categorized by the data source system, and the response option "Unknown" refers to a lack of data. <u>Sex </u> * The response option "Other" is categorized by the source system, and the response option "Unknown" refers to a lack of data. <u>Sexual orientation </u> * The response option “Unknown/Declined” refers to a lack of data or individuals who reported multiple different sexual orientations during their most recent interaction with SFDPH. For convenience, we provide <a href="https://data.sfgov.org/d/4qbq-hvtt"> the 2020 5-year American Community Survey population estimates</a>. <strong>C. UPDATE PROCESS </strong> Updated daily via automated process. <strong>D. HOW TO USE THIS DATASET </strong> This dataset includes many different types of demographic groups. Filter the “demographic_group” column to explore a topic area. Then, the “demographic_subgroup” column shows each group or category within that topic area and the total count of doses administered to that population subgroup.

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    COVID-19 Vaccinations Given to SF Residents by Demographics

    data.sfgov.org | Last Updated 2023-02-01T16:16:33.000Z

    <strong>Note: On 1/31/2023 we updated our data to reflect the 2020 Census Bureau American Community Survey (ACS) San Francisco Population estimates.</strong> <strong>A. SUMMARY</strong> This dataset represents the COVID-19 vaccinations given to residents of San Francisco. All vaccines given to SF residents 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. This dataset also includes COVID-19 vaccinations given to SF residents by the San Francisco Department of Public Health (SFDPH). Data provides counts for residents who have received at least one dose, residents who have completed a primary vaccine series, residents who have received one or two monovalent (not bivalent) booster doses, and residents who have received a bivalent booster dose. A primary vaccine series is complete after an individual has received all intended doses of the initial series. There are one, two, and three dose primary vaccine series. <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://cdph.ca.gov/CAIR">California Immunization Registry (CAIR2)</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 the 2016-2020 American Community Survey (ACS) population estimates for each demographic group. <strong>C. UPDATE PROCESS</strong> Updated daily via automated process <strong>D. HOW TO USE THIS DATASET</strong> San Francisco population estimates for race/ethnicity and age groups can be found in a <a href=" https://data.sfgov.org/d/cedd-86uf">view based on the San Francisco Population and Demographic Census dataset</a>. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). Before analysis, you must filter the dataset to the desired stratification of data using the "overall_segment" column. For example, filtering "overall_segment" to "All SF Residents by Age Bracket, Administered by All Providers" will filter the data to residents 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 "All SF Residents by Race/Ethnicity, Administered by DPH Only", you will see the race/ethnicity breakdown for residents who received vaccinations from the San Francisco Department of Public Health (SFDPH). If you filter "overall_segment" to "All SF Residents by Age Group, Administered by All Providers" you will see vaccination counts of various age eligibility groups that were administered by any provider. To count the number of individuals vaccinated (with any primary series dose), use the "total_recipients" column. To count the number of individuals who have completed their primary vaccine series, use the "total_series_completed" column. To count the number of primary series doses administered (1st, 2nd, 3rd, or single doses), use the "total_primary_series_doses" column. To count the number of individuals who received one or two monovalent (not bivalent) booster doses, use the "total_booster_recipients" and "total_2nd_booster_recipients" columns. To count the number of individuals who received their first bivalent booster dose, use the "total_bivalent_booster_recipients" column. To count the number of monovalent (not including bivalent) or bivalent booster doses administered, use the "total_booster_doses" or "total_bivalent_booster_doses" columns. <strong>E. ARCHIVED DATA</strong> A previous version of this dataset was archived on 10/27/2022. For historical purposes, you can access the archived dataset at the

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    COVID-19 Cases by Population Characteristics Over Time

    data.sfgov.org | Last Updated 2023-02-02T13:03:02.000Z

    <strong>Note: On 1/31/2023 we updated our data to reflect the 2020 Census Bureau American Community Survey (ACS) San Francisco Population estimates.</strong> <strong>A. SUMMARY</strong> This dataset shows San Francisco COVID-19 cases by population characteristics and by specimen collection date. Cases are included on the date the positive test was collected. On September 12, 2021, a new case definition of COVID-19 was introduced that includes criteria for enumerating new infections after previous probable or confirmed infections (also known as reinfections). A reinfection is defined as a confirmed positive PCR lab test more than 90 days after a positive PCR or antigen test. The first reinfection case was identified on December 7, 2021. Population characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how cases have been distributed among different subgroups. This information can reveal trends and disparities among groups. Data is lagged by five days, meaning the most recent specimen collection date included is 5 days prior to today. Tests take time to process and report, so more recent data is less reliable. <strong>B. HOW THE DATASET IS CREATED</strong> Data on the population characteristics of COVID-19 cases and deaths are from: * Case interviews * Laboratories * Medical providers These multiple streams of data are merged, deduplicated, and undergo data verification processes. This data may not be immediately available for recently reported cases because of the time needed to process tests and validate cases. Daily case totals on previous days may increase or decrease. <u><a href="https://sf.gov/information/covid-19-data-questions">Learn more</a></u>. Data are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19. Data notes on each population characteristic type is listed below. <u> Race/ethnicity</u> * We include all race/ethnicity categories that are collected for COVID-19 cases. * The population estimates for the "Other" or “Multi-racial” groups should be considered with caution. The Census definition is likely not exactly aligned with how the City collects this data. For that reason, we do not recommend calculating population rates for these groups. <u> Sexual orientation</u> * The City began asking adults 18 years old or older for their sexual orientation identification during case interviews as of April 28, 2020. Sexual orientation data prior to this date is unavailable. * The City doesn’t collect or report information about sexual orientation for persons under 12 years of age. * Case investigation interviews transitioned to the California Department of Public Health, Virtual Assistant information gathering beginning December 2021. The Virtual Assistant is only sent to adults who are 18+ years old.<u><a href="https://www.sfdph.org/dph/files/PoliciesProcedures/COM9_SexualOrientationGuidelines.pdf"> Learn more about our data collection guidelines pertaining to sexual orientation</a></u>. <u> Gender</u> * The City collects information on gender identity using <a href="https://www.sfdph.org/dph/files/PoliciesProcedures/COM5_SexGenderGuidelines.pdf">these guidelines</a>. <u> Comorbidities</u> * Underlying conditions are reported when a person has one or more underlying health conditions at the time of diagnosis or death. <u> Transmission type</u> * 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. <u>Homelessness</u> Persons are identified as homeless based on se

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    COVID-19 Deaths by Population Characteristics Over Time

    data.sfgov.org | Last Updated 2023-02-02T13:02:25.000Z

    <strong>Note: On 1/31/2023 we added the column "population_estimate" to reflect the 2020 Census Bureau American Community Survey (ACS) San Francisco Population estimates.</strong> <strong>A. SUMMARY</strong> This dataset shows San Francisco COVID-19 deaths by population characteristics and by date. Deaths are included on the date the individual died. Population characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how deaths have been distributed among different subgroups. This information can reveal trends and disparities among groups. Data is lagged by five days, meaning the most date included is 5 days prior to today. All data update daily as more information becomes available. <strong>B. HOW THE DATASET IS CREATED</strong> COVID-19 deaths are suspected to be associated with COVID-19. This means COVID-19 is listed as a cause of death or significant condition on the death certificate. Data on the population characteristics of COVID-19 deaths are from: * Case interviews * Laboratories * Medical providers These multiple streams of data are merged, deduplicated, and undergo data verification processes. It takes time to process this data. Because of this, data is lagged by 5 days and death totals for previous days may increase or decrease. More recent data is less reliable. Data are continually updated to maximize completeness of information and reporting on San Francisco COVID-19 deaths. Data notes on each population characteristic type is listed below. <u> Race/ethnicity</u> * We include all race/ethnicity categories that are collected for COVID-19 cases. <u> Sexual orientation</u> * The City began asking adults 18 years old or older for their sexual orientation identification during case interviews as of April 28, 2020. Sexual orientation data prior to this date is unavailable. * The City doesn’t collect or report information about sexual orientation for persons under 12 years of age. * Case investigation interviews transitioned to Virtual Assistant information gathering starting December 2021. The California Department of Public Health, Virtual Assistant is only sent to adults who are 18+ years old.<u><a href="https://www.sfdph.org/dph/files/PoliciesProcedures/COM9_SexualOrientationGuidelines.pdf"> Learn more about our data collection guidelines pertaining to sexual orientation</a></u>. Gender * The City collects information on gender identity using <u><a href="https://www.sfdph.org/dph/files/PoliciesProcedures/COM5_SexGenderGuidelines.pdf">these guidelines</a></u>. <u> Comorbidities</u> * Underlying conditions are reported when a person has one or more underlying health conditions at the time of diagnosis or death. <u> Transmission type</u> * 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. <u> Homelessness</u> Persons are identified as homeless based on several data sources: * self-reported living situation * the location at the time of testing * Department of Public Health homelessness and health databases * Residents in Single-Room Occupancy hotels are not included in these figures. These methods serve as an estimate of persons experiencing homelessness. They may not meet other homelessness definitions. <u> Single Room Occupancy (SRO) tenancy</u> * SRO buildings are defined by the San Francisco Housing Code as having six or more "residential guest rooms" which may be attached to shared bathrooms, kitchens, and living spaces. * The details of a person's living arrangements are verifi

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    CHSA - ECON -- Food Insecurity --- 2-Year Dissected

    healthstat.dph.sbcounty.gov | Last Updated 2019-03-13T19:07:43.000Z

    Percent of People who Cannot Afford to Feed Themselves Sufficiently. U.S. Census Bureau, Current Population Survey, December Supplement (AKA USDA Food Security Supplement). Dissected by Year, Geographic Area, Age Category, and Race/Ethnicity.