Regional & Community Data
Demographic Profiles
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.
Current:
-
2019 Demographic Profiles*
- 2020 City Demographic Profiles
- 2019 Supervisorial District Demographic Profiles*
Previous:
*2020 Coming this Fall
NEW! The 2020 Demographic Profiles will now be available online as dynamic Tableau dashboards. Demographic Profiles at the census tract level, supervisorial district, and HHSA Region/SRA level will be released this fall.
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 2016 to 2019 deaths, hospitalizations, emergency department discharges, in-patient treatment discharges, physical rehabilitation and skilled nursing facility discharges for all conditions. The data is collected by age groups by race/ethnicity as well.
The 2019 Community Profiles are available online as dynamic Tableau dashboards. These dashboards help to visualize the health data by the lenses of health equity: geography, socioeconomic status, race/ethnicity, age, and gender. There are over 80 conditions with 6 outcomes available for the Health & Human Services Agency (HHSA) Regions and their respective subregional areas (SRAs), as well as a dashboard for the 18 municipalities and unincorporated areas of San Diego County. Individual tabs can be downloaded as images and the entire profile can be downloaded as PDFs or PowerPoint slides.
Select a link to be directed to Tableau Public:
The community profiles are also available to download as excel workbooks below:
Public Health Services Data Guide and Codebook
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 disease, communicable disease, ADRD, maternal & child health, injury, and behavioral health data.
- Central Region
- East Region
- North Central Region
- North Coastal Region
- North Inland Region
- South Region
Morbidity Dashboard
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 2019 emergency department and patient discharge data were obtained from the California Office of Statewide Health Planning and Development (OSHPD) database.
Tribal Brief
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.
Dashboard on Motor Vehicle Injuries in San Diego County
Injury collisions are those involving a motor vehicle operated on a public road, where at least one person is injured or killed. The Motor Vehicle Injury Indicators in San Diego County Dashboard shows the rates of several injury indicators related to motor vehicle collisions in San Diego County across 2010 to 2019. Where available, rates are provided by sex, age group, and year and data is trended by geography and year. Additionally, the rates of injury collisions indicators are displayed by the injury indicator and year of choice.
Geographical areas included are San Diego County, the six Health and Human Services Agency Regions, and the 41 subregional aras (SRAs).
Outcomes on this dasbhoard:
- Alcohol-Involved Injuries
- Drinking Drivers
- Pedalcycle Injuries
- Pedestrian Injuries
- Total Injuries
Transportation Injury Mapping System (TIMS)
TIMS is a web-based data query and download application developed to display pin maps in Google Maps, using the California Statewide Integrated Traffic Records System (SWITRS) collision data. A second application was designed and applied to provide a more map-centric experience with other types of data layers and spatial analysis capabilities typically seen in a Geographic Information System (GIS), which is all available to the public.
Collision statistics you can create tables and graphs for, map or download the raw data:
- Geography
- Severity
- Type
- By Day of Week and Time
- By Primary Collision Factor Violation
- Victim demographics
- Victim degree of injury
- Victim role
- Use of safety equipment
- Pedestrian collision classification and descriptions
- Number of collisions by schools by type
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, 2014-2019 - Geographies include HHSA Regions, Subregional Areas (SRAs), Cities, and Supervisor Districts.
3-4-50 One Page Briefs
These printable handouts summarize the burden of chronic disease by HHSA Region from 2000-2019.
- 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 2000-2019.
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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