Regional & Community Data
In the United States, it is estimated that medical care accounts for only 10-20 percent of the modifiable contributors to healthy outcomes in a population. The other 80-90 percent are “the conditions in which people are born, grow, live, work and age, and the systems put in place to deal with illness,” known as social determinants of health (SDOH).1 This means that a significant proportion of disease burden within a community is shaped by SDOH, such as distribution of income, housing status, and access to healthcare.
The Demographic Profiles are a compilation of information relating to demographic characteristics of specific populations in San Diego County, including SDOH. Each Profile contains demographic data for each HHSA Region and subregional area (SRA), including age, gender, race/ethnicity distributions, school enrollment, educational attainment, income, occupation, housing, and other SDOH. Many of these factors have been implicated at the roots of health disparities. The profiles are designed to help HHSA staff in each of the Health and Human Services Regions (Regions) and other local organizations, including Live Well San Diego recognized partners, identify, and prioritize needs within their communities.
The demographic profiles below contain the most recent demographic and economic data available by Health and Human Services (HHSA) region, city, and supervisorial district in PDF format.
- 2021 Region/SRA Demographic Profiles
- 2021 City Demographic Profiles
- 2021 Supervisorial District Demographic Profiles
The 2021 Demographic Profiles are also available online as dynamic Tableau dashboards.
- 2021 Census Tract Demographic Profile Dashboard
- 2021 Region/SRA Demographic Profiles Dashboard
- 2021 City Demographic Profiles Dashboard
- 2021 Supervisorial District Demographic Profiles Dashboard
NEW! The 2021 San Diego County Middle Eastern and North African Population by Ancestry and Place of Birth explores the Middle Eastern and North African (MENA) population by ancestry and place of birth in lieu of a direct method to estimate this population.
2019
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2019
Region/SRA Demographic Profiles
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2019
City Demographic Profiles
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2019
Supervisorial District Demographic Profiles
2018
For machine-readable data, visit the County of San Diego's data access portal.
Community Profiles contain a variety of health-related information in San Diego County and its communities. We currently have data for 2016 to 2021 deaths, hospitalizations, emergency department discharges, in-patient treatment discharges, physical rehabilitation, and skilled nursing facility discharges.
The 2021 Community Profiles are available online as dynamic Tableau dashboards. These dashboards help to visualize the health data by the lenses of health equity: age, sex, geography, socioeconomic status, and race/ethnicity. There are over 70 conditions with four outcomes available (death, hospitalization, emergency department discharge, and in-patient treatment discharges). Data are available for the Health and Human Services Agency (HHSA) Regions and their respective subregional areas (SRAs), as well as for the 18 municipalities and the unincorporated area of San Diego County. Selected tabs can be downloaded as images and the entire profile can be downloaded as PDFs or PowerPoint slides.
Community Profiles Dashboards
*For Community Profiles excel workbooks or data guide/dictionary, click here.
The 2019 Community Profiles Dashboards are available through the links below:
Community Profile Age-Adjusted Trend Dashboards
The Community Profiles Age-Adjusted Trends are interactive Tableau dashboards that help visualize the age-adjusted annual rates of disease and injury by geography, sex, and race/ethnicity in San Diego County. Approximately 70 conditions with 4 outcomes are available for the Health and Human Services Agency (HHSA) Regions and their subregional areas (SRAs), the 18 municipalities and the unincorporated area of San Diego County. Data have been updated through 2021.
Age-adjusted rates represent the rates expected for a population having the same age distribution (same age structure) as a reference population. These ‘age-standardized’ rates allow comparisons between different populations at one point in time, or one population at different times by controlling for age. For example, age-adjusted rates can help identify differences in rates of disease due to environmental factors, behavioral risk factors, or social determinants of health.
Individual tabs can be downloaded as images and the entire profile can be downloaded as PDFs or PowerPoint slides. Rates for the total population, males and females are available for 2016 through 2021. Rates by race/ethnicity are available starting with 2020.
For more information about the health indicators, data sources, and the calculation of age-adjusted rates, please see the Community Profiles Data Guide and Data Dictionary Dashboards here:
2021 Data Guide and Data Dictionary Dashboard
To view rates that are not age-adjusted, sometimes called ‘crude’ rates, please visit the Community Profiles on the Community Health Statistics website for dashboards, health atlases, reports and briefs, and downloadable datasets.
The 2016-2021 Community Profiles are also available to download as excel workbooks below:
Community Profiles Data Guides and Data Dictionaries
The 2021 Community Profiles Data Guide and Data Dictionary Dashboards contain technical notes for users of the Community Profiles’ morbidity and mortality data. The data guide provides information for data users, describes geographic units used in health data, explains rates and age adjusted rates, lists the data sources used to create the Community Profiles, and contains a variable guide. Additionally, there are three data dictionary dashboards for the Community Profiles. The first dashboard is a morbidity data dictionary dashboard, which provides a list of Clinical Classifications Software Refined (CCSR) category codes and descriptions, and ICD-10 CM codes and descriptions that are used to categorize each condition with an emergency department discharge, hospitalization, or in-patient treatment outcome. The second dashboard is a mortality data dictionary dashboard which provides a list of ICD-10 mortality codes and descriptions that were used to categorize each condition with a death outcome. The final dashboard is a data standards dashboard where you can find the standard, link to the standard, and notes for each condition and outcome.
2021 Community Profiles Data Guide and Data Dictionary Dashboards
2020
Community Profiles Data Guide and Data Dictionary
Dashboards
For previous years' health data,
dating back to 2000, visit our
archives.
For machine-readable data, visit the County of San Diego's data access portal.
Health Briefs are easy-to-read, printable health statistics by HHSA Region using data from the Community Profiles and the California Health Interview Survey (CHIS). Each health brief contains information on non-communicable diseases, communicable diseases, maternal & child health, injury, behavioral health, ADRD, environmental health, and access to care data.
- Central Region
- East Region
- North Central Region
- North Coastal Region
- North Inland Region
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South
Region
The morbidity dashboard is an interactive Tableau dashboard that helps visualize the total morbidity rate by age, race/ethnicity, sex, socioeconomic status, and urbanicity in San Diego County. Morbidity is the amount of disease in a population. In this analysis, total morbidity is defined as the sum of all inpatient and outpatient discharges. The 2021 emergency department and patient discharge data were obtained from the California Department of Health Care Access and Information (HCAI) database, formerly California Office of Statewide Health Planning and Development (OSHPD) database.
The 2019 and 2020 Morbidity Dashboards are available through the links below.
Adverse childhood experiences (ACEs) are potentially traumatic experiences that occur before the age of 18. Current research indicates that experiencing a higher number of ACEs is associated with chronic health conditions, mental illness, and health risk behaviors. Currently, ACEs are measured through a variety of surveys. The data provided in the ACEs dashboard are from the National Survey of Children’s Health (NSCH) and the Behavioral Risk Factor Surveillance System (BRFSS).
The interactive ACEs Tableau dashboard helps to visualize demographic and health outcome data disaggregated by ACE scores. The accompanying brief provides a background of ACEs and their relationship to health and well-being. Additionally, the brief highlights the disparities found in ACEs prevalence among adults in San Diego County.
Adverse Childhood Experiences (ACEs) in San Diego County (September 2022)
Adverse Childhood Experiences Dashboard
The Tribal Brief and Dashboard present information about the health
and well-being of American Indian/Alaska Native (AIAN) residents
living in San Diego County. The information presented includes
demographics, social determinants of health, health status, and health
behaviors aggregated for 2016-2020 from the California Health
Interview Survey. Medical encounter and death rates, select maternal
and child health indicators, and incidence of communicable diseases
are also visualized. These data may support community health
improvement measures and identify high-priority health areas.
Tribal Health and Well-being Brief
Tribal Health and Well-being Dashboard
Primary Care Clinic Utilization Profiles
Primary Care Clinic Utilization Profiles contain a variety of health and operation-related information on community primary care clinics in San Diego County. Our profiles cover years 2013-2015 (see archive section). More recent data is available via the California Health and Human Services (CHHS) Data Portal links below.
What is 3-4-50?
Chronic diseases are now the major cause of death and disability worldwide, having surpassed infectious diseases and injuries. This reflects an improvement in the prevention and treatment of infectious diseases and significant changes in dietary habits, physical activity levels, and tobacco use in the population. 2 Three behaviors (poor diet, physical inactivity, and tobacco use) contribute to four chronic diseases (cancer, heart disease and stroke, type 2 diabetes, and pulmonary diseases such as asthma) that cause over 50 percent of all deaths worldwide. This is the foundation of the 3-4-50 concept.3 The influence of these three unhealthy behaviors may be seen in San Diego County as these four chronic diseases are the most common causes of death and disability in our region.
3-4-50 Data
3-4-50 Datasets
- 3-4-50 Percents, by Geography, 2014-2021 - Geographies include HHSA Regions, Subregional Areas (SRAs), Cities, and Supervisor Districts.
3-4-50 Short Briefs
These printable handouts summarize the burden of chronic disease by HHSA Region from 2000-2021.
- Central Region
- East Region
- North Central Region
- North Coastal Region
- North Inland Region
- South Region
- San Diego County
3-4-50 Detailed Briefs
- Detailed Briefs - give a more detailed look at the burden of chronic disease by HHSA Region from 2000-2021.
Maps for the 3-4-50 chronic diseases, as well as other chronic diseases, can be viewed here:
Chronic Diseases in San Diego County Maps
Demographic and Health Data by Region
The location of where people are born, grow, live, work, and age greatly influences their health and well-being. For example, built and natural environments may determine the food we eat, the quality of the air we breathe, and the healthcare services that are available to us, all of which are connected to health outcomes.4 Exploring health data by geography is important to identify and address the needs of diverse local communities. Most of the demographic and health data for San Diego County is provided at the Health and Human Services Agency (HHSA) regional and subregional area (SRA) levels. The regional and SRA boundaries are shown in the map below
To view demographic and health data by geography, select a region below:
The Central Region in San Diego County is located on the San Diego Bay, and includes downtown San Diego and outlying urban communities, including North Park, College Area, Encanto, Paradise Hills, Barrio Logan, Hillcrest, Mission Hills, and University Heights. The population of Central Region is very ethnically, racially, and culturally diverse.
To view demographic and health information for Central Region, select one of the data products below:
The East Region of San Diego County is the second largest geographical area in the county, and includes the communities of El Cajon, Lemon Grove, Alpine, Spring Valley and Mountain Empire. It is one of two regions that share an international border with Mexico, and the only region in the county to share a boundary with another county and country. East Region is a very diverse geographic region in the county, and includes vast valleys, arid landscapes, and mountainous terrain. The East Region is comprised of incorporated and unincorporated areas, suburban and rural communities, and Indian reservations.
To view demographic and health information for East Region, select one of the data products below:
The North Central Region of San Diego County is bordered by Interstate 8 in the south, the Pacific Ocean to the west, Del Mar and state route 56 to the north and extends to include Scripps Ranch and San Carlos to the East. North Central Region is one of the most diverse geographical regions in the county, including miles of pristine pacific coastline, steep canyons, valleys, and mountainous terrains. The region encompasses the northern half of the City of San Diego, and in all, consists of 24 smaller communities including Linda Vista, Mission Valley, Clairemont and La Jolla. The North Central Region is comprised of coastal towns, university communities, suburban areas, and military facilities.
To view demographic and health information for North Central Region, select one of the data products below:
The North Coastal Region consists of six cities, including Carlsbad, Del Mar, Encinitas, Oceanside, Solana Beach and Vista. Over a dozen more communities stretch geographically from Del Mar in the south to the Orange County border in the north and east, to include Vista and Rancho Santa Fe. The US Marine Corps' largest installation, Camp Pendleton, is also located in the North Coastal Region.
To view demographic and health information for North Coastal Region, select one of the data products below:
The North Inland Region consists of four cities, including Escondido, Poway, San Marcos and the northern part of the City of San Diego, and dozens of smaller communities. The region's diversity can be attributed to this vast geographic expanse, which includes suburban areas, remote desert communities, historic mountain towns, rural homes and farms, and Indian reservations
To view demographic and health information for North Coastal Region, select one of the data products below:
The South Region of San Diego County is a highly diverse border region. Geographically, the Region covers 155 square miles of urban, suburban, and rural areas. The Region includes the cities of National City, Chula Vista, Imperial Beach, Coronado, and three communities of the City of San Diego: Otay Mesa, Nestor and San Ysidro. San Ysidro is home to the busiest land border crossing in the world.
To view demographic and health information for South Region, select one of the data products below.
Regional Planning Documents:
Regional and Demographic Data: For the most recent demographic, economic, behavioral, and health data available by HHSA Region and community.
1 Magnan, S. 2017. Social Determinants of Health 101 for Health Care: Five Plus Five. NAM Perspectives. Discussion Paper, National Academy of Medicine, Washington, DC. https://doi.org/10.31478/201710c
2 World Health Organization (WHO). “The Global Strategy on Diet, Physical Activity and Health.” http://www.who.int/dietphysicalactivity/media/en/gsfs_general.pdf (Accessed September 22, 2011).
3 3Four50, www.3four50.com (Accessed September 22, 2011).
4 Centers for Disease Control and Prevention. (2018). Social Determinants of Health: Know What Affects Health. https://www.cdc.gov/socialdeterminants/index.htm
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