The population count of Mesa County, CO was 147,509 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 Mesa County, CO

  • API

    Income Data for Colorado Counties

    data.colorado.gov | Last Updated 2016-10-04T03:59:57.000Z

    Income data from the Bureau of Economic Analysis and Census for the State of Colorado and counties, including FIPS codes. Updated monthly, and and extending back to 1929. Data is aggregated and updated by Median Household Income from the United States Census and by Total Personal Income and from the Per Capita Personal Income by the Bureau of Economic Analysis. Both income and population are aggregated and reported.

  • API

    Percentage Distribution Of Population By Education Attainment

    www.opendata.go.ke | Last Updated 2016-11-07T05:55:23.000Z

    This data set shows the percentage distribution by education attainment of population based on gender and county

  • API

    Distribution Of Household Heads By Marital Status,sex And County

    www.opendata.go.ke | Last Updated 2016-11-07T06:10:54.000Z

    This dataset shows the distribution of household heads based on their gender,marital status and county.

  • API

    Annual Census Population Estimates for Colorado Counties

    data.colorado.gov | Last Updated 2016-07-05T17:59:36.000Z

    Annual population estimates every year from 1900-2014 from the US Census Bureau for Colorado Counties.

  • 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

    Population By Urban Centres, 2009

    www.opendata.go.ke | Last Updated 2016-11-07T06:25:36.000Z

    This dataset shows the total population of urban centres in different counties.

  • 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

    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

    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

    Distribution Of Persons With Disabilities By Sex, Residence And County ( Census 2009)

    www.opendata.go.ke | Last Updated 2016-11-07T06:08:04.000Z

    This dataset shows the distribution of persons with disabilities based on gender, county and residence.