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

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.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of San Diego County by race. It includes the distribution of the Non-Hispanic population of San Diego County 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 County across relevant racial categories.

Key observations

Of the Non-Hispanic population in San Diego County, the largest racial group is White alone with a population of 1.42 million (65.75% 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 County
• Population: The population of the racial category (for Non-Hispanic) 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 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 County Population by Race & Ethnicity. You can refer the same here

This indicator is specific to the foreign-born population. Moreover, it breaks down the foreign population into naturalized citizens or not naturalized residents.

Because it is out of the entire population, the percentages of naturalized and not naturalized will not add up to 100%. Instead, they will add to the percentage of foreign-born.

Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table DP02.

Disability status is determined for the civilian noninstitutionalized population who responded to questions regarding six types of difficulty and may vary by age. For children under 5 years old, hearing and vision difficulty are used to determine disability status. For children between the ages of 5 and 14, disability status is determined from hearing, vision, cognitive, ambulatory, and self-care difficulties. For people aged 15 years and older, they are considered to have a disability if they have difficulty with any one of the six difficulty types.

*Note: numbers are NOT mutually exclusive. Persons can have more than one type of disability. This is why percentages will NOT add to 100%.

Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table S1810.

This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Age and Gender by City, San Diego County. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table B01001.

Foreign Born in the Population by City. Includes naturalized and non-naturalized foreign-born populations. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table DP02.

Disabled Population by City. Note: It is possible to have more than one type of disability. Categories are not mutually exclusive. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table S1810.

Commute to Work. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table DP03.

In 2021, the population of the San Diego-Chula Vista-Carlsbad metropolitan area in the United States was about 3.29 million people. This is was a slight decrease compared to the previous year, when the population was about 3.3 million.

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.

Families in Poverty. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table B17024, B17010.

This dataset presents a detailed overview of demographic information from the 2010 Census, focusing on the level of Carlsbad neighborhoods. It delves into smaller, more localized regions within the City of Carlsbad, offering insights into population distribution, racial makeup, family structures, household types, and housing details. Tailored for the visualization and analysis of local demographics, this dataset is especially valuable for discerning trends within specific Carlsbad neighborhoods. It is designed to provide a comprehensive look at the social and housing landscape at the neighborhood level within the City of Carlsbad."It's important to note that the original dataset was sourced from the San Diego Geographic Information Source (SanGIS) and San Diego Association of Governments (SANDAG). Initially covering census tracts for the entire San Diego County, we refined the dataset by clipping it to the specific boundary line of the City of Carlsbad. This process was undertaken to tailor the dataset to the unique demographic profile of Carlsbad, making it more pertinent for local analyses and mapping.Point of Contact:Operations ManagerU.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch4600 Silver Hill RoadWashington, DC 20233

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.

Education Attainment Among Population 25 Years and Older, 2016. Refers to the highest level of education completed in terms of the highest degree or the highest level of schooling completed. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table DP02.

Asian and Pacific Islander (API) Population. Percents refer to percent of API Population. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table B02015, B02016.

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: 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.

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.

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.

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).

This indicator explores the type of household that seniors, ages 65+, lived in. Types of households are classified by presence of relatives. Please note that estimates from other American Community Survey (ACS) tables may differ depending on the categories included in that table; this is because the percentage of seniors by households type data presented here includes the senior population living in group quarters (college residence halls, residential treatment centers, skilled nursing facilities, group homes, military barracks, correctional facilities, workers’ dormitories, and facilities for people experiencing homelessness).

Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table B09020.

Population Below Poverty by Age Group, by City. Below poverty refers to the percentage of people within the age group living below 100% of the federal poverty level (FPL). Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table B17024.