The population count of Orange County, CA was 3,086,331 in 2014.

Population

Population Change

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

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Demographics and Population Datasets Involving Orange County, CA

  • API

    Key Characteristics of Californians Age 60 and Over

    chhs.data.ca.gov | Last Updated 2016-12-05T19:05:10.000Z

    This data set presents key demographic characteristics of Californians Age 60 and Over. This data set can be viewed by county or Area Agency on Aging Planning and Services Area. Key sociodemographic variables include: lives alone, low income, minority/non-minority, non-English speaking, and living in a rural area. This data is based on multiple federal and state sources.

  • API

    Infectious Disease Cases by County, Year, and Sex, 2001-2014

    chhs.data.ca.gov | Last Updated 2016-11-14T19:12:21.000Z

    These data contain counts and rates for Centers for Infectious Diseases-related disease cases among California residents by county, disease, sex, and year spanning 2001-2014 (As of September, 2015).

  • API

    CA Population Projection by County, Age, Gender and Ethnicity 2010-2060

    greengov.data.ca.gov | Last Updated 2016-03-22T22:42:49.000Z

    This dataset contains CA county population projections by age, gender and ethnicity for 2010-2060 and was developed by the CA Dept of Finance.

  • API

    Asthma Emergency Department Visit Rates by ZIP Code

    chhs.data.ca.gov | Last Updated 2016-11-14T18:39:57.000Z

    MAP:http://tinyurl.com/AsthmaMap This dataset contains counts and rates (per 10,000) of asthma (ICD9-CM, 493.0-493.9) emergency department visits among California residents by ZIP Code and age group (all ages, 0-17, 18+). For more information please go to www.californiabreathing.org

  • API

    Housing Crowding 2006-2010

    chhs.data.ca.gov | Last Updated 2016-11-21T22:04:23.000Z

    This table contains data on the percent of household overcrowding (> 1.0 persons per room) and severe overcrowding (> 1.5 persons per room)for California, its regions, counties, and cities/towns. Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS). The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity (http://www.cdph.ca.gov/programs/Pages/HealthyCommunityIndicators.aspx). Residential crowding has been linked to an increased risk of infection from communicable diseases, a higher prevalence of respiratory ailments, and greater vulnerability to homelessness among the poor. Residential crowding reflects demographic and socioeconomic conditions. Older-adult immigrant and recent immigrant communities, families with low income and renter-occupied households are more likely to experience household crowding. A form of residential overcrowding known as "doubling up"—co-residence with family members or friends for economic reasons—is the most commonly reported prior living situation for families and individuals before the onset of homelessness. More information about the data table and a data dictionary can be found in the About/Attachments section.

  • API

    Annual Miles Traveled, 2002-2010

    chhs.data.ca.gov | Last Updated 2016-11-18T21:29:33.000Z

    This table contains data on the annual miles traveled by place of occurrence and by mode of transportation (vehicle, pedestrian, bicycle), for California, its regions, counties, and cities/towns. The ratio uses data from the California Department of Transportation, the U.S. Department of Transportation, and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Miles traveled by individuals and their choice of mode – car, truck, public transit, walking or bicycling – have a major impact on mobility and population health. Miles traveled by automobile offers extraordinary personal mobility and independence, but it is also associated with air pollution, greenhouse gas emissions linked to global warming, road traffic injuries, and sedentary lifestyles. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which has many documented health benefits. More information about the data table and a data dictionary can be found in the About/Attachments section.

  • API

    Road Traffic Injuries 2002-2010

    chhs.data.ca.gov | Last Updated 2016-12-07T18:47:30.000Z

    This table contains data on the annual number of fatal and severe road traffic injuries per population and per miles traveled by transport mode, for California, its regions, counties, county divisions, cities/towns, and census tracts. Injury data is from the Statewide Integrated Traffic Records System (SWITRS), California Highway Patrol (CHP), 2002-2010 data from the Transportation Injury Mapping System (TIMS) . The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity (http://www.cdph.ca.gov/programs/Pages/HealthyCommunityIndicators.aspx). Transportation accidents are the second leading cause of death in California for people under the age of 45 and account for an average of 4,018 deaths per year (2006-2010). Risks of injury in traffic collisions are greatest for motorcyclists, pedestrians, and bicyclists and lowest for bus and rail passengers. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience 4 times the death rate as Whites or Asians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.

  • API

    Time Walk Bike To Work, 2001-2011

    chhs.data.ca.gov | Last Updated 2016-12-07T19:11:37.000Z

    This table contains data on the percent of population aged 16 years or older whose commute to work is 10 or more minutes/day by walking or biking for California, its regions, counties, and cities/towns. Data is from the U.S. Census Bureau, American Community Survey, and from the U.S. Department of Transportation, Federal Highway Administration, and National Household Travel Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity (http://www.cdph.ca.gov/programs/Pages/HealthyCommunityIndicators.aspx). Active modes of transport, bicycling and walking alone and in combination with public transit, offer opportunities to incorporate physical activity into the daily routine. Physical activity is associated with lowering rates of heart disease and stroke, diabetes, colon and breast cancer, dementia and depression. Automobile commuting is associated with health hazards, such as air pollution, motor vehicle crashes, pedestrian injuries and fatalities, and sedentary lifestyles. Consequently the transition from automobile-focused transport to public and active transport offers environmental health benefits, including reductions in air pollution, greenhouse gases and noise pollution, and may lead to greater overall safety in transportation. More information about the data table and a data dictionary can be found in the About/Attachments section.

  • API

    Asthma ED Visit Rates (LGHC Indicator 07)

    chhs.data.ca.gov | Last Updated 2016-11-23T19:16:10.000Z

    This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. This dataset contains counts and rates (per 10,000 residents) of asthma (ICD9-CM, 493.0-493.9) emergency department visits among California residents by County and age group (all ages, 0-17, 18+). The data are derived from the Office of Statewide Health Planning and Development emergency department databases. These data include emergency department visits from all licensed hospitals in California. These data are based only on primary discharge diagnosis codes (ICD9-CM). NOTE: Rates are calculated from the total number of Asthma ED Visits (not the unique number of individuals).

  • API

    Living Wage

    chhs.data.ca.gov | Last Updated 2016-11-18T20:02:03.000Z

    This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator (http://livingwage.mit.edu/) and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity (http://www.cdph.ca.gov/programs/Pages/HealthyCommunityIndicators.aspx). The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.