Community Health Statistics Unit

City

City Demographics and Health Statistics

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The Community Health Statistics Unit produces demographic and health data at the municipality level to help planners, community partners, jurisdictions, and the public identify needs and focus areas.

Additionally, it supports the San Diego County Kresge Initiative, an ongoing effort for City and County leaders to work more closely together to identify and focus on mutual goals to improve health outcomes for our local region.

*Note: map depicts the San Diego County jurisdictions (18 cities and the
unincorporated area), one of the many geographic levels we depict data in.

City Demographic and Health Profiles

The City Demographic and Health Profiles include sociodemographic and economic information for the specified municipality in addition to health data with comparisons to San Diego County. These profiles are updated annually with the most recent data available. 

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City 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 city and unincorporated area, 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 jurisdictions, 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. Since 2020, the Demographic Profiles are also available online as dynamic Tableau dashboards.

2023 Demographic Profiles

PDFs
Dashboards

Please click "expand all" or click anywhere in the bar below to open it and access the links for the Demographic Profiles for prior years.

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The Demographic Older Adult Profiles are subset of the larger demographic profiles document for San Diego County. This profile set reflects data covering demographic and economic data on seniors available for municipalities and the unincorporated area.

2023 Demographic Profiles: Older Adult Subset - Municipalities and Unincorporated Area

Please click "expand all" or click anywhere in the bar below to open it and access the links for the Older Adult Subsets of the Demographic Profiles for prior years.

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Health and Injury Data

Community Morbidity and Mortality Profiles

The Community Profiles contain a variety of health-related information in San Diego County and its communities. We currently have data for 2016 to 2023 deaths, hospitalizations, emergency department discharges, in-patient treatment discharges, physical rehabilitation, and skilled nursing facility discharges. Starting in data year 2023, the Community Morbidity and Mortality Profiles are divided into two, separate files - mortality (death) and morbidity (hospitalization, emergency department discharge, and in-patient discharges).

The 2023 Community Morbidity and Mortality Profiles are available online as dynamic Tableau dashboards, linked. 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.

Morbidity Dashboards

  • 2023 Community Morbidity Profiles Dashboard by Municipality

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    Mortality Dashboards

  • 2023 Community Mortality Profiles Dashboard by Municipality

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    Excel Workbooks

  • 2023 Morbidity Community Profile Workbook
  • 2023 Mortality Community Profile Workbook

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    Please click anywhere in the bars below to open it and access the links for prior years of  the Community Morbidity and Mortality Dashboards and Excel Workbooks.

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    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 2023.

    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.

    Age-Adjusted Morbidity Dashboards

    Age-Adjusted Mortality Dashboards

    The 2023 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, age-adjusted rates, and confidence intervals. Additionally, the guide lists the data sources used to create the Community Profiles data and a variable guide for the data. There are four data dictionaries for the Community Profiles. The first dashboard is a morbidity data dictionary dashboard, that provides a list of Clinical Classifications Software Refined (CCSR) category codes and descriptions, and ICD-10 CM codes and descriptions used to categorize each condition with an emergency department discharge, hospitalization, or in-patient treatment outcome. The second dashboard is a mortality data dictionary, which provides a list of ICD-10 mortality codes and descriptions that were used to categorize each condition with a death outcome. The third dashboard lists the classification type of each condition and outcome. The final dashboard is a data standards dashboard where you can find the standard, link to to the standard, and notes for each condition and outcome. 

    2023 Community Profiles Data Guide and Data Dictionary Dashboards

     

    Please click anywhere in the bars below to open it and access the links for prior years of  the Data Guides and Dictionaries.

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    Leading Causes of Death Dashboard

    The Leading Causes of Death dashboard displays the top leading causes of death among San Diego County Residents for their respective years. Rank is based on the total number of deaths in each of the National Center for Health Statistics (NCHS) “rankable” categories. The cause of death is based on the underlying cause of death reported on death certificates as classified by ICD-10 codes. The leading causes of death are displayed by total, sex, age, race/ethnicity, Asian/Pacific Islander subgroup, Health and Human Services Region (HHSA Region), supervisorial district, and city.

    3-4-50: Chronic Disease in San Diego County

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    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 Datasets

    • The 3-4-50 Dataset is an excel workbook providing the 3-4-50 percents and rates for San Diego County by HHSA Regions, Subregional Areas (SRAs), Cities, and Supervisor Districts from 2014 to 2023. 

     

    3-4-50 Detailed Briefs

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    The Detailed Brief explores the burden of 3-4-50 chronic diseases from 2000-2023 for Municipalities and the Unincorporated Area.

     

     

     

     

     

    Motor Vehicle Collision Injury Indicators in San Diego County Dashboard

    Injury collisions are those involving a motor vehicle operated on a public road, where at least one person is injured or killed. This dashboard shows the rates of several injury indicators related to motor vehicle collisions in San Diego County for 2020.  Where available, counts and rates are provided by sex, age group, and geography. Geographical areas included are San Diego County, 18 municipalities (cities) and the unincorporated area.

    Motor Vehicle Collision Injury Indicators for Cities & Unincorporated Area

    Outcomes on this dashboard:

    • Alcohol-Involved Injuries
    • Drinking Driver
    • Pedalcycle Injuries
    • Pedestrian Injuries
    • Total Injuries

    Other Resources

    The Big Cities Health Inventory Platform features data on 35 of the largest and most urban cities in the nation, including City of San Diego. On this platform, you can explore and compare cities on topics such as demographics, social and economic factors, access to health services, infectious and sexually transmitted diseases, chronic diseases, violence and injury, mental health and substance use, and more!

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    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).