Graph and download economic data for Resident Population in San Francisco County/city, CA (CASANF0POP) from 1970 to 2023 about San Francisco County/City, CA; San Francisco; residents; CA; population; and USA.

About this dataset

Context

The dataset tabulates the data for the San Francisco County, CA population pyramid, which represents the San Francisco County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for San Francisco County, CA, is 16.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for San Francisco County, CA, is 24.1.
• Total dependency ratio for San Francisco County, CA is 40.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for San Francisco County, CA is 4.1.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the San Francisco County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the San Francisco County for the selected age group is shown in the following column.
• Population (Female): The female population in the San Francisco County for the selected age group is shown in the following column.
• Total Population: The total population of the San Francisco County for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Francisco County Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the South San Francisco population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of South San Francisco across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of South San Francisco was 63,123, a 0.08% increase year-by-year from 2022. Previously, in 2022, South San Francisco population was 63,073, a decline of 1.16% compared to a population of 63,816 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South San Francisco increased by 2,480. In this period, the peak population was 67,147 in the year 2016. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the South San Francisco is shown in this column.
• Year on Year Change: This column displays the change in South San Francisco population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for South San Francisco Population by Year. You can refer the same here

As of October 2023, approximately 20.4 thousand Japanese residents were registered in the San Francisco metropolitan area, the highest amount of the past decade. In the same year, the United States was the country with the highest number of Japanese residents by far. Within the observed time frame, the size of the Japanese population has been growing gradually each year, with 2020 being the only exception to this general upward trend.The statistic, which is based on the information gathered by Japanese diplomatic missions abroad, does not include descendants of Japanese emigrants (nikkeijin) who do not hold Japanese citizenship. People with multiple citizenship are counted.

A. SUMMARY This dataset contains population and demographic estimates and associated margins of error obtained and derived from the US Census. The data is presented over multiple years and geographies. The data is sourced primarily from the American Community Survey.

B. HOW THE DATASET IS CREATED The raw data is obtained from the census API. Some estimates as published as-is and some are derived.

C. UPDATE PROCESS New estimates and years of data are appended to this dataset. To request additional census data for San Francisco, email support@datasf.org

D. HOW TO USE THIS DATASET The dataset is long and contains multiple estimates, years and geographies. To use this dataset, you can filter by the overall segment which contains information about the source, years, geography, demographic category and reporting segment. For census data used in specific reports, you can filter to the reporting segment. To use a subset of the data, you can create a filtered view. More information of how to filter data and create a view can be found here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of South San Francisco by race. It includes the distribution of the Non-Hispanic population of South San Francisco across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of South San Francisco across relevant racial categories.

Key observations

Of the Non-Hispanic population in South San Francisco, the largest racial group is Asian alone with a population of 27,324 (61.21% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the South San Francisco
• Population: The population of the racial category (for Non-Hispanic) in the South San Francisco is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of South San Francisco total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for South San Francisco Population by Race & Ethnicity. You can refer the same here

In 2023, the population of the San Francisco-Oakland-Berkeley metropolitan area in the United States was about 4.57 million people. This is a slight decrease from the previous year, when the population was about 4.58 million people.

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in San Francisco County, CA (B03002003E006075) from 2009 to 2023 about white, non-hispanic, estimate, persons, 5-year, population, and USA.

About this dataset

Context

The dataset tabulates the San Francisco Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of San Francisco, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of San Francisco.

Key observations

Among the Hispanic population in San Francisco, regardless of the race, the largest group is of Mexican origin, with a population of 65,170 (48.90% of the total Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the San Francisco
• Population: The population of the specific origin for Hispanic or Latino population in the San Francisco is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of San Francisco total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Francisco Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Single-Parent Households with Children as a Percentage of Households with Children (5-year estimate) in San Francisco County, CA (S1101SPHOUSE006075) from 2009 to 2023 about San Francisco County/City, CA; San Francisco; single-parent; CA; households; 5-year; and USA.

About this dataset

Context

The dataset tabulates the data for the San Francisco Township, Minnesota population pyramid, which represents the San Francisco township population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for San Francisco Township, Minnesota, is 35.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for San Francisco Township, Minnesota, is 34.3.
• Total dependency ratio for San Francisco Township, Minnesota is 69.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for San Francisco Township, Minnesota is 2.9.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the San Francisco township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the San Francisco township for the selected age group is shown in the following column.
• Population (Female): The female population in the San Francisco township for the selected age group is shown in the following column.
• Total Population: The total population of the San Francisco township for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Francisco township Population by Age. You can refer the same here

VITAL SIGNS INDICATOR Population (LU1)

FULL MEASURE NAME
Population estimates

LAST UPDATED
February 2023

DESCRIPTION
Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region.

DATA SOURCE
California Department of Finance: Population and Housing Estimates - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/
Table E-6: County Population Estimates (1960-1970)
Table E-4: Population Estimates for Counties and State (1970-2021)
Table E-8: Historical Population and Housing Estimates (1990-2010)
Table E-5: Population and Housing Estimates (2010-2021)

Bay Area Jurisdiction Centroids (2020) - https://data.bayareametro.gov/Boundaries/Bay-Area-Jurisdiction-Centroids-2020-/56ar-t6bs
Computed using 2020 US Census TIGER boundaries

U.S. Census Bureau: Decennial Census Population Estimates - http://www.s4.brown.edu/us2010/index.htm- via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University
1970-2020

U.S. Census Bureau: American Community Survey (5-year rolling average; tract) - https://data.census.gov/
2011-2021
Form B01003

Priority Development Areas (Plan Bay Area 2050) - https://opendata.mtc.ca.gov/datasets/MTC::priority-development-areas-plan-bay-area-2050/about

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
All historical data reported for Census geographies (metropolitan areas, county, city and tract) use current legal boundaries and names. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of December 2022.

Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator.

Population estimates for Bay Area tracts and PDAs are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Population estimates for PDAs are allocated from tract-level Census population counts using an area ratio. For example, if a quarter of a Census tract lies with in a PDA, a quarter of its population will be allocated to that PDA. Estimates of population density for PDAs use gross acres as the denominator. Note that the population densities between PDAs reported in previous iterations of Vital Signs are mostly not comparable due to minor differences and an updated set of PDAs (previous iterations reported Plan Bay Area 2040 PDAs, whereas current iterations report Plan Bay Area 2050 PDAs).

The following is a list of cities and towns by geographical area:

Big Three: San Jose, San Francisco, Oakland

Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside

Inland, Delta and Coastal: American Canyon, Antioch, Benicia, Brentwood, Calistoga, Clayton, Cloverdale, Concord, Cotati, Danville, Dixon, Dublin, Fairfield, Gilroy, Half Moon Bay, Healdsburg, Lafayette, Livermore, Martinez, Moraga, Morgan Hill, Napa, Novato, Oakley, Orinda, Petaluma, Pittsburg, Pleasant Hill, Pleasanton, Rio Vista, Rohnert Park, San Ramon, Santa Rosa, Sebastopol, Sonoma, St. Helena, Suisun City, Vacaville, Walnut Creek, Windsor, Yountville

Unincorporated: all unincorporated towns

Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in San Francisco County, CA (B03002010E006075) from 2009 to 2023 about San Francisco, CA, non-hispanic, estimate, persons, 5-year, population, and USA.

A. SUMMARY This dataset represents the COVID-19 vaccinations given to residents of San Francisco over time. 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). This dataset also includes COVID-19 vaccinations given to SF residents by the San Francisco Department of Public Health (SFDPH) over time.

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.

B. HOW THE DATASET IS CREATED Information on doses administered to those who live in San Francisco is from the California Immunization Registry (CAIR2), run by the California Department of Public Health (CDPH).

C. UPDATE PROCESS Updated daily via automated process

D. HOW TO USE THIS DATASET Before analysis, you must filter the dataset to the desired stratification of data using the "administering_provider_type" column. To get vaccination counts of all SF residents regardless of provider, filter to "administering_provider_type" = ‘All Providers’. To get vaccination counts administered by SFDPH to SF residents, filter to "administering_provider_type" = ‘DPH Only’.

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 have completed their primary vaccine series on a given day, use the "new_series_completed" column. To count the number of primary series doses administered on a day (1st, 2nd, 3rd, or single doses), use the "new_primary_series_doses" column.

To count the number of individuals who received their first or second monovalent (not bivalent) booster dose on a given day, use the "new_booster_recipients" and "new_2nd_booster_recipients" columns. To count the number of individuals who received their first bivalent booster dose on a given day, use the "new_bivalent_booster_recipients" column. To count the number of monovalent (not including bivalent) or bivalent booster doses administered on a given day, use the "new_booster_doses" or "new_bivalent_booster_doses" columns.

To count the number of individuals who have received a vaccine up to a certain date, use the columns beginning with "cumulative_..."

E. ARCHIVED DATA This dataset is a combination of two previous datasets that were archived on 10/27/2022. For historical purposes, you can access the archived datasets at the following links:

ARCHIVED: COVID Vaccinations Given to SF Residents Over Time ARCHIVED: COVID Vaccinations Given to SF Residents by SF DPH Over Time

F. CHANGE LOG

• 11/1/2023 - data on COVID-19 vaccinations given to SF residents by over time are no longer being updated. This data is currently through 10/31/2023 and will not include any new data after this date.
• 10/27/2022 - the datasets COVID Vaccinations Given to SF Residents Over Time and COVID Vaccinations Given to SF Residents by SF DPH Over Time were merged into a single dataset. The column “administering_provider_type” can be used to filter between the two metrics. These previous datasets can be found in the ARCHIVED DATA section.
• 10/27/2022 - the columns “new_1st_doses”, “new_2nd_doses”, and “new_single_doses” were removed and consolidated into the column “new_primary_series_doses” (which also includes 3rd doses for the Pfizer Under 5 series). Similarly, the columns “cumulative_1st_doses”, “cumulative_2nd_doses”, “cumulative_single_doses”, were replaced by “cumulative_primary_series_doses”.

Resident Population in San Francisco County/city, CA was 808.98800 Thous. of Persons in January of 2023, according to the United States Federal Reserve. Historically, Resident Population in San Francisco County/city, CA reached a record high of 879.67600 in January of 2018 and a record low of 675.80000 in January of 1979. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in San Francisco County/city, CA - last updated from the United States Federal Reserve on March of 2025.

Graph and download economic data for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Alameda County, CA (B03002012E006001) from 2009 to 2023 about Alameda County, CA; San Francisco; latino; hispanic; CA; estimate; persons; 5-year; population; and USA.

A. SUMMARY Medical provider confirmed COVID-19 cases and confirmed COVID-19 related deaths in San Francisco, CA aggregated by Census ZIP Code Tabulation 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.

B. HOW THE DATASET IS CREATED 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.

C. UPDATE PROCESS Geographic analysis is scripted by SFDPH staff and synced to this dataset each day.

D. HOW TO USE THIS DATASET Privacy rules in effect 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. Cases dropped altogether for areas where acs_population < 1000

Rate suppression in effect where counts lower than 20 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.

A note on Census ZIP Code Tabulation Areas (ZCTAs) 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 polygonal representations of USPS ZIP Code service area routes. Read how the Census develops ZCTAs on their website.

This dataset is a filtered view of another dataset You can find a full dataset of cases and deaths summarized by this and other geographic areas.

E. CHANGE LOG

• 9/11/2023 - data on COVID-19 cases and deaths summarized by ZIP code tabulation area are no longer being updated. This data is currently through 9/6/2023 and will not include any new data after this date.

Population 25 years and over Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in San Francisco County, California by age, education, race, gender, work experience and more.

Table of population and demographic forecast numbers from Plan Bay Area 2040 for the San Francisco Bay Region. Population and demographic numbers are included for 2005, 2010, 2015, 2020, 2030, 2035, and 2040. There are no forecast numbers for 2025.The Plan Bay Area forecast numbers were generated by Transportation Analysis Zone (TAZ). The Population and Demographics forecast table will need to be joined to TAZ features in order to spatially visualize the data. The TAZ features are available for download here.2005-2040 data in this table:Total PopulationHousehold PopulationGroup Quarters Population0 - 4 Age Group5 - 19 Age Group20 - 44 Age Group44 - 64 Age Group65+ Age GroupShare of Total Population that is 62 and OverHigh School EnrollmentCollege Enrollment (full-time)College Enrollment (part-time)Other Plan Bay Area 2040 forecast tables:Employment (total employment, TAZ resident employment, retail employment, financial and professional services employment, health, educational, and recreational employment, manufacturing, wholesale, and transportation employment, agricultural and natural resources employment, and other employment)Households (number of households and household income quartile)Land Use and Transportation (area type, commercial or industrial acres, residential acres, number of single-family and multi-family dwelling units, time to get from automobile storage location to origin/destination, and hourly parking rates)

About this dataset

Context

The dataset tabulates the population of San Francisco by race. It includes the population of San Francisco across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of San Francisco across relevant racial categories.

Key observations

The percent distribution of San Francisco population by race (across all racial categories recognized by the U.S. Census Bureau): 40.49% are white, 5.09% are Black or African American, 0.66% are American Indian and Alaska Native, 34.97% are Asian, 0.38% are Native Hawaiian and other Pacific Islander, 7.75% are some other race and 10.66% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the San Francisco
• Population: The population of the racial category (excluding ethnicity) in the San Francisco is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of San Francisco total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Francisco Population by Race & Ethnicity. You can refer the same here