Community Health Statistics Unit

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Archives

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Welcome to the Community Health Statistics Unit page for archived information. This contains data prior to 2010. If you cannot find what you are looking for, you can contact us for assistance!

Community Profile Data

Due to coding changes, please do not compare 2019 health data to prior years.

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  • 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.

    2021 Age-Adjusted Community Profiles - Regional Dashboard

    2021 Age-Adjusted Community Profiles - Municipal Dashboard

    Dashboard instructions here.

 

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.

Tribal Health and Well-Being

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  • Tribal Health and Well-Being

    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

Demographics

Health Equity

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Overview of Health Equity in San Diego County Slide Set: This slide set gives a high level overview of health disparities in San Diego County.

- What are Health Disparities?1

- Where are there disparities in health outcomes in San Diego County?

- What are a few of our opportunities for prevention for certain key diseases?

 

HealthEquityReports2022

For over 20 years, the Public Health Services department, in the County of San Diego Health and Human Services Agency, has been tracking population health data by age, gender, geography, race/ethnicity, and, more recently, by socioeconomic status. This 2022 health disparities report series is an update to reports published in 2016 and has been expanded to include indicators of                well‐being, in addition to disease burden.

The Exploring Health Disparities in San Diego County series includes detailed reports with data and information for each of the lenses of health equity: Age, Gender, Geography, Race/Ethnicity, and Socioeconomic Status.

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  • Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ) Population

    Individuals who identify as lesbian, gay, bisexual, transgender, or queer (LGBTQ) are diverse and include people of all demographic backgrounds. Members of the LGBTQ community are at increased risk for a number of poor health outcomes compared to heterosexual and cisgender people as a result of social and structural inequities.3

    The interactive Tableau dashboards below help to visualize demographic, health and well-being, and healthcare access data disaggregated by sexual orientation and gender identity. Data for the adult population comes from the California Health Interview Survey (CHIS), 2016-2020, and data for the youth population is from the Youth Risk Behavior Surveillance System (YRBSS), 2015-2019. The dashboard also introduces the terminology used to describe sexual orientation and gender identity and emphasizes the importance of identifying and addressing health inequities among the Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ) population. 

    The Adult LGBQ Population in San Diego County Brief, 2016-2020

    The LGBT Youth Population in San Diego Unified School District, 2015-2019

    The LGBTQ Health and Well-Being Dashboard

    Dashboard instructions here.

     

Economic Hardship Index

Subregional Area (SRA)

Economic Hardship Index (EHI): Index of economic conditions based on crowded housing, dependency, education, income, poverty, and unemployment, with a higher value indicating worse economic conditions.1-3 This map helps visualize the estimated EHI by subregional area in San Diego County. The estimated EHI compares economic conditions between subregional areas. 

Download a PDF version of the 2022 Economic Hardship Index Fact Sheet. 

Download a PDF version of the 2022 Economic Hardship Index by Subregional Area map. 

*Estimated economic hardship index values were calculated based on aggregating census tract data.

1. America’s Health Rankings analysis of U.S. Census Bureau, American Community Survey, United Health Foundation, AmericasHealthRankings.org, accessed 2023.
2. Montiel LM, Nathan RP, Wright DJ. An update on urban hardship. Albany (NY): The Nelson A. Rockefeller Institute of Government; 2004.
3. Nathan, Richard P., and Charles Adams. 1976. “Understanding Central City Hardship.” Political Science Quarterly 91 (1): 47–62. https://doi.org/10.2307/2149158.  

 

Census Tracts

The Economic Hardship Index (EHI) by Census Tract Dashboard contains a map of the distribution of the EHI across census tracts in San Diego County. The estimated Economic Hardship Index by census tract map (see map below) shows the variation in levels of economic hardship and allows identification of communities with greater economic hardship. The dashboard provides the data for each of the components of EHI and the life expectancy of the subregional area (SRA) and HHSA Region the census tract is in. Additionally, the dashboard ranks the census tracts from highest to lowest EHI.

 

 

The Socioeconomic Disparities in San Diego County

The Socioeconomic Disparities in San Diego County Dashboard below displays interactive maps of Qualified Census Tracts, percentage of the population under 200% of the federal poverty level (FPL) by census tracts, Difficult Development Areas by zip code tabulation area, and Health Equity Zip Codes.

 

Hover over the maps for additional information, zoom in on selected areas, and reset the map using the home button at the top left of each map. 

HP2020

Healthy People 2020: How Does San Diego County Measure Up? This report provides an update on the progress San Diego County has made in achieving the goals set forth by Healthy People 2020, a science based, ten-year national agenda for improving the health of all Americans. 

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The Alzheimer’s Disease and Related Dementias (ADRD) in San Diego County Map Atlas: This document was created to give a visual representation of the data related to Alzheimer's Disease and Related Dementias. Topics include population estimates, disability and health insurance coverage among seniors, and ADRD prevalence and medical encounters.

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The Population of Mexican Origin Map, 2014 - This map visualizes the 2014 population of Mexican origin across San Diego County by subregional area. 

 

In English

En Español

 

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San Diego County Senior Health Report, 2015

This report, a collaborative project with Aging & Independence Services, is the full report detailing various topics affecting the health and well-being of San Diego County senior residents.

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3-4-50: Chronic Disease and Health Disparities in San Diego County Age Subset

This document contains 3-4-50 data by the health disparity lens of age.

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The San Diego County Senior Cost of Living by Subregional Area Report: This document was created to highlight economic issues facing the aging population in San Diego County. The purpose of this analysis was to determine the actual basic costs of living for older adults (those aged 65 years and over).

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

This document takes an in-depth look into the concept of 3-4-50 locally.

 

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Economic Burden of Chronic Disease in San Diego County Report

In 2007, the direct cost of chronic disease in San Diego County was $4.6 billion dollars. This document addresses the economic impact of chronic diseases locally. 

 

 

Life Expectancy

Life expectancy is one of the Top 10 Indicators measured for the County of San Diego’s Live Well San Diego vision for healthier, safer, and thriving communities. This measure is a widely used indicator for the capability to live a long and healthy life and reflects the overall mortality of a population. The life expectancy brief includes life expectancy by gender, race/ethnicity, geography, and overall, for San Diego County.

Click button below for Life Expectancy Brief.

LE Info

CDC's Winnable Battles

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CDC's Winnable Battles: Winnable Battles are public health priorities where the CDC and public health partners, like the County of San Diego, can make significant progress in a relatively short timeframe. For information on the first national set of Winnable Battles please see the Winnable Battles Final Report as well as National Progress Reports published in 2013 and 2014. For local data, please click the image or here

CDC Winnable Battles - public health priorities identified by the Centers for Disease Control and Prevention (CDC), where significant progress can be made in a short (1-4 years) timeframe. In the following 2012 document, the "winnable battles" are identified and addressed from a San Diego County perspective.

 

Health and Wellbeing Survey Data

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California Health Interview Survey (CHIS) is a source of information on health, health behaviors, and access to health care services. The survey is conducted every two years through telephone surveys of adults, adolescents, and children, and is the largest state health survey in the nation. In the following documents, information from CHIS is presented and used to estimate the number of residents represented by the survey data. Both County-level and Health and Human Services Agency (HHSA) Region-level information is provided.

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Collision-Related Maps and Injury Data

SWITRSDashMap

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 areas (SRAs). 

Outcomes on this dashboard:

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

 

San Diego County Motor Vehicle Collision Injuries: Below is a workbook detailing motor vehicle injuries by type in San Diego County from 2010-2017 from the California Highway Patrol's Statewide Integrated Traffic Records System (SWITRS). From our archives, the data tables provide a summary of traffic related crashes, injuries, and death in San Diego County from 1998 through 2011.

Smoking Attributable Mortality

***NOTE: This product has been discontinued.***

The Smoking Attributable Mortality tables estimate the number of San Diego County residents who died due to smoking. The tables display the five-year average deaths, attributable fractions, and the estimated smoking attributable mortality for San Diego County and each of the Health and Human Services Agency Regions. Five-year average of deaths were calculated for certain diseases or conditions where there is evidence of a relationship between the disease or condition and smoking or secondhand smoking.2  Attributable fractions are the proportions of a specific disease or condition that would be attributable to smoking and come from the Centers for Disease Control and Prevention’s Smoking Attributable Mortality, Morbidity, and Economic Costs System.3 The estimated smoking attributable mortality was calculated by multiplying the attributable fraction by the five-year average of deaths due to a disease or condition.   

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1. Centers for Disease Control and Prevention. CDC Health Disparities and Inequalities Report—United States, 2011. MMWR 2011;60(Suppl), http://www.cdc.gov/mmwr/pdf/other/su6001.pdf (Accessed September 30, 2013).