About this dataset

Context

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

Key observations

The percent distribution of San Diego County population by race (across all racial categories recognized by the U.S. Census Bureau): 53.01% are white, 4.71% are Black or African American, 0.94% are American Indian and Alaska Native, 12.22% are Asian, 0.42% are Native Hawaiian and other Pacific Islander, 10.60% are some other race and 18.10% 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 Diego County
• Population: The population of the racial category (excluding ethnicity) in the San Diego County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of San Diego County 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 Diego County Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in San Diego, the largest racial group is White alone with a population of 573,281 (58.76% 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 San Diego
• Population: The population of the racial category (for Non-Hispanic) in the San Diego is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of San Diego 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 San Diego Population by Race & Ethnicity. You can refer the same here

The number and percent of the population by race and ethnicity. API refers to Asian/ Pacific Islanders and include Asian, Pacific Islander, and Native Hawaiian. Other Race includes American Indian or Alaska Native, 2 or more races, and other. Source: U.S. Census Bureau; 2011-2015 American Community Survey 5-Year Estimates, Table B03002.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

This indicator shows total population broken down by race/ethnicity. Note: In previous iterations of the Demographic Profiles, American Indian/Aslakan Native (AIAN) had been part of the 'Other*' category. Beginning in 2017, 'AIAN' will be a unique category. People of Hispanic origin may be of any race. *API refers to Asian/ Pacific Islanders and include Asian, Pacific Islander, and Native Hawaiian; AIAN refers to American Indian/ Alaskan Natives; Other includes those of two or more races or other. Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table B03002.

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in San Diego County, CA (B03002020E006073) from 2009 to 2023 about San Diego County, CA; San Diego; latino; hispanic; estimate; CA; 5-year; persons; population; and USA.

This dataset contains data included in the San Diego County Regional Equity Indicators Report led by the Office of Equity and Racial Justice (OERJ). The full report can be found here: https://data.sandiegocounty.gov/stories/s/7its-kgpt.

Geographic data used to create maps in the report can be found here: https://data.sandiegocounty.gov/dataset/Equity-Report-Data-Geography/p6uw-qxpv

Filter by the Indicator column to select data for a particular indicator.

User notes: 10/9/25 - for the report year 2025, data for the following indicators were uploaded with changes relative to report year 2023: Crime Rate: As of January 1, 2021, the FBI replaced the Summary Reporting System (SRS) with the National Incident Based Reporting System (NIBRS), which expands how crimes were recorded and classified. This report uses California’s version of NIBRS, the California Incident Based Reporting System (CIBRS), obtained from the SANDAG Open Data Portal. Crime rates are not disaggregated by jurisdiction, as in the previous Equity Indicator Report. Internet access: The age group variable was incorporated to account for notable disparities in internet access by age. Police Stops and Searches: refined methods. Agency data was aggregated to San Diego County because data was available for all agencies; previously data was available for three agencies. Analysis of RIPA data was updated to exclude stops where the stop was made in response to a call for service, combine transgender women and transgender men into a transgender category, and limit to contraband found during search. Used term “discovery rate” instead of “hit rate.” Removed comparison to traffic collision data and instead compared to population estimates from the American Community Survey. Jail Incarceration: new data sources. The numerator data for the average daily population data in jail was obtained from the San Diego County Sheriff's Office. Population data to calculate the rates was obtained from the San Diego Association of Governments (SANDAG). The terms for conviction status were corrected to "locally sentenced" and "unsentenced" for sentencing status. For jail population data, East African was reclassified as Black and Middle Eastern as White to allow for calculation of rates using SANDAG population estimates.

8/1/25 - for the report year 2025, the following change were made: Business Ownership: the minority and nonminority labels were switched for the population estimates and some of the race/ethnicity data for nonemployer businesses were corrected. Homelessness: added asterisks to category name for unincorporated regions to allow for a footnote in the figure in the story page.

7/11/25 - for the report year 2025, the following changes were made: Beach Water Quality: the number of days with advisories was corrected for Imperial Beach municipal beach, San Diego Bay, and Ocean Beach.

5/22/25 - for the report year 2023, the following changes were made: Youth poverty/Poverty: IPUMS identified an error in the POVERTY variable for multi-year ACS samples. In July 2024, they released a revised version of all multi-year ACS samples to IPUMS USA, which included corrected POVERTY values. The corrected POVERTY values were downloaded, and the analysis was rerun for this indicator using the 2021 ACS 5-year Estimates. Youth Poverty: data source label corrected to be 2021 for all years. Employment, Homeownership, and Cost-Burdened Households - Notes were made consistent for rows where category = Race/Ethnicity.

5/9/25 - Excluding data for the crime section indicators, data were appended on May 9, 2025 and the report will be updated to reflect the new data in August 2025. The following changes in methods were made: For indicators based on American Community Survey (ACS) data, the foreign-born category name was changed to Nativity Status. Internet access: Group quarters is a category included in the survey sample, but it is not part of the universe for the analysis. For the 2025 Equity Report year, respondents in group quarters were excluded from the analysis, whereas for the 2023 Equity Report year, these respondents were included. Adverse childhood experiences - new data source.

Prepared by: Office of Evaluation, Performance, and Analytics and the Office of Equity and Racial Justice, County of San Diego, in collaboration with the San Diego Regional Policy & Innovation Center (https://www.sdrpic.org).

Veterans by largest Race and Ethnicity categories, by Census Tract and Health and Human Services Service Area.

Veterans: Civilians who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty. Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table S2101.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Population by Age, Sex and Ethnicity by City of San Diego Council District from the 2020 Decennial Census

This data collection includes a block subset of the Census of Population and Housing, 1970: Summary Tape File 3A for San Diego County, California. Block complete count (100% long form) tabulations are available in 38 population and housing tables. Complete count data for population includes tabulation of total population by race (white, Negro, and other) and sex, age and sex (21 age categories), and relationship to household head; population under 18 by relationship to household head and type of household. Complete count data for housing includes tabulation by access, basement, crowding, group quarters, kitchen facilities, occupied units, plumbing facilities, rental units, rooms, toilet facilities, value, race, and others. The San Diego block file also includes totals for census tracts. A list of all table cell counts (variables) is available for these data tabulations. The San Diego block data file was extracted and processed by the Social Science Data Collection (SSDC) staff of the University of California, San Diego from Census Bureau data processed by DUALabs, Inc. and archived at the Odum Institute. 1970 Summary Tape File 3A is also known as 1970 Summary File 3A and 1970 Summary Statistic File 3A. The Census Bureau produced printed reports for 1970 Summary Tape File 3A. The UCSD Geisel Library maintains two copies of printed block maps in Block Statistics: San Diego, Calif. Urbanized Area (SSH Docs US Stacks C 3.224/5:970/23). The printed reports are limited to 4 tables containing 24 table cells. These printed reports are the only source of block maps for these data.

This indicator provides the percent of each API race as a distribution of the total population.

Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table B01001, B02015, B02016.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Veterans by largest Race and Ethnicity categories, by Health and Human Services Service Area.

This indicator provides the provides the percentage of civilian veterans by race/ethnicity group.

Veterans are persons 18 years and over who ever served on active duty. A civilian veteran refers to persons 18 years or older who served on active duty in any military branch or served in the National Guard or military reserves (only those ever called or ordered to active duty were classified as veterans). It does not include persons currently in active duty.

Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table S2101.

Population by Ethnicity by San Diego Region from the SANDAG Vintage 24 Population and Housing Estimates

Population by Age, Sex and Ethnicity by San Diego Region from the SANDAG Vintage 24 Population and Housing Estimates

Population by Ethnicity by San Diego Region from the Series 12 Regional Growth Forecast

This project uses locations of testing sites and hospitals, as well as census information by census tracts in San Diego, to compare infection risks between white and non-white areas. Linear regression has been used to find correlation between population characteristics and testing site patterns.Additional information in the Project PDFNotable Modules Used: Python: pandas, geopandas, numpy, matplotlib, sklearn ArcGIS: find_existing_locations, enrich_layer, join_features

Population by Age, Sex and Ethnicity by San Diego Region from the Series 15 Regional Growth Forecast

In 2023, there were an estimated ******* white homeless people in the United States, the most out of any ethnicity. In comparison, there were around ******* Black or African American homeless people in the U.S. How homelessness is counted The actual number of homeless individuals in the U.S. is difficult to measure. The Department of Housing and Urban Development uses point-in-time estimates, where employees and volunteers count both sheltered and unsheltered homeless people during the last 10 days of January. However, it is very likely that the actual number of homeless individuals is much higher than the estimates, which makes it difficult to say just how many homeless there are in the United States. Unsheltered homeless in the United States California is well-known in the U.S. for having a high homeless population, and Los Angeles, San Francisco, and San Diego all have high proportions of unsheltered homeless people. While in many states, the Department of Housing and Urban Development says that there are more sheltered homeless people than unsheltered, this estimate is most likely in relation to the method of estimation.

For current version see: https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_health_statistics/CHSU_Mortality.html#leading

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.

This dataset tracks annual two or more races student percentage from 2011 to 2023 for Madison High School vs. California and San Diego Unified School District

This indicator provides the percent of each API race as a distribution of the API population.

Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table B02015, B02016.