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Rural Health Information Hub
Rural Health Information Hub

Finding Statistics and Data Related to Rural Health

This guide will help you locate and accurately use statistics and data to:

  • Understand rural health needs and rural/urban disparities
  • Communicate rural health needs
  • Inform decision-making related to service delivery and policy

Many providers of rural-relevant data rely on the same small number of federal data sets for their data products. For a comprehensive look at major rural-relevant statistical sources, see our Data Sources & Tools Relevant to Rural Health. This list includes data sources focused on healthcare services, health status, demographics, and social determinants of health. For each source it identifies the topics covered, ease of use, geographic level of data, and update frequency.

Frequently Asked Questions

What sources provide access to rural or rural-relevant data?

The Centers for Disease Control and Prevention (CDC) sometimes includes information on rural health disparities, health conditions, and health-related behaviors in the Morbidity and Mortality Weekly Report. The CDC's National Center for Health Statistics (NCHS) also produces Data Briefs, timely short reports that present descriptive data, several of which have focused on rural/urban aspects of health.

Rural Population Health in the United States: A Chartbook, a 2023 North Carolina Rural Health Research Program report, provides detailed maps and charts on rural healthcare access, health outcomes and risks, mortality, social determinants of health, and more. It includes national data as well as data by Census region and state.

A February 2022 data brief from the Maternal and Child Health Bureau (MCHB), Rural Children's Health and Health Care, provides information on rural children based on data from the National Survey of Children's Health. Topics addressed include weight status, physical activity, food insecurity, adverse childhood experiences, and access to care. A 2020 MCHB data brief, Rural/Urban Differences in Children's Health, provides data on children's mental and behavioral health.

Rural-Urban Differences Among Older Adults, an August 2020 chartbook from The University of Minnesota Rural Health Research Center, provides detailed data on rural older adults, covering demographics, socioeconomic data, healthcare access and use, and health behaviors and health status.

An Insurance Profile of Rural America: Chartbook, an October 2022 RUPRI Center for Rural Health Policy Analysis publication, reports on trends in health insurance coverage for rural and urban people, with detailed data for different types of coverage and sociodemographic groups.

Rural America at a Glance from the USDA Economic Research Service (ERS) is an annual snapshot of key rural statistics. ERS State Fact Sheets offer total, rural, and urban statistics nationally and for each state on population, food security, income, education, employment, and other topics. It is a quick place to access a range of rural data for your state, pulled from different federal sources.

The U.S. Census Bureau's American Community Survey (ACS) — easily accessed via data.census gov — includes data that can be limited to rural, using the Census Bureau definition of rural, as well as the OMB definition of metropolitan and nonmetropolitan areas. The ACS includes a wide range of information on demographics, health insurance coverage, disability, education, poverty, income, and much more.

See our Data Sources & Tools Relevant to Rural Health for a detailed list of major rural-relevant statistical sources, topics covered, and geographic breakdowns available.

What sources offer county-level data? How might county-level data be useful?

The county (and county equivalents such as parishes in Louisiana, boroughs in Alaska, and planning regions in Connecticut) is a geographic unit that is familiar, easy to understand, and generally consistent over time. Counties have constant boundaries and so can be useful in comparing changes over time for a set geographic area. A county or set of counties may be a useful service area to describe when applying for funding or describing a particular issue or need.

There is a caveat regarding Alaskan boroughs: they are typically reported consistently within a single data source but may be inconsistent between two different data sources. Furthermore, a large portion of Alaska is not assigned to a borough and is referred to as the “unorganized borough.” This region is made up of 11 census areas that are administered by the state and used for statistical purposes.

Care must also be taken when analyzing Connecticut data over time. Connecticut moved from counties to planning regions in 2022, but the 2 geographies are not the same and so cannot be compared. For more on this change see Change to County-Equivalents in the State of Connecticut in the June 6, 2022 Federal Register.

Many types of data are available at the county level and several urban/rural classification schemes are county-based. Therefore, county-level data are useful in that they can be applied to different urban/rural measures. For example, the Office of Management and Budget defines counties as Metropolitan, Micropolitan, or Noncore. Both the Micropolitan and Noncore counties constitute "nonmetropolitan" areas, which are frequently considered "rural." One concern with using county-level data for rural purposes is that some counties, particularly in the West, cover a large geographic area. An area that otherwise might be considered rural could be classified as metropolitan due to the presence of a city within that county. For more information on rural definitions, see the What is Rural? topic guide. You can also explore a specific location's rural status using different definitions via the Am I Rural? tool.

Key resources offering county-level data include:

  • County Health Rankings and Roadmaps, a program of the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, brings together county-level health data on key health factors and health outcomes from a wide range of data sources. It is the most broad and easy to access county-level health data available and is updated annually. County Health Rankings and Roadmaps offers recorded webinars that discuss the information available from their website and how it can be used by communities.
  • The Rural Health Mapping Tool, produced by NORC at the University of Chicago with support from the CDC, offers rural and urban county-level data on mortality, health conditions, healthcare access, and a variety of social determinants of health.
  • The National Association of Counties (NACo) County Explorer offers county-level data on a wide range of indicators.
  • U.S. Census Bureau QuickFacts is a good starting point for beginner data users to access data from over 10 Census Bureau censuses, surveys, and programs. It offers data on the population and demographics for each county, as well as information on housing, income, and other social determinants of health. QuickFacts also identifies each county's land area and people per square mile. It is easy to add additional geographies for comparison, such as neighboring counties, the state, or the nation as a whole. QuickFacts also offers data for cities and towns with a population of 5,000 or more.
  • The USDA Economic Research Service's Atlas of Rural and Small-Town America provides access to 60 county-level socioeconomic indicators, including data from the American Community Survey and Bureau of Labor Statistics. The Atlas includes data on total population change trends for particular demographic groups.
  • The USDA Economic Research Service's Poverty Area Measures provides county-level data on high, extreme, persistent, and enduring poverty areas.
  • The USDA Economic Research Service also maintains the Food Environment Atlas, which contains county-level information on social determinants of health, such as access to grocery stores and presence of local farmers markets, together with health measures such as adult obesity and diabetes rates. A related resource, the Food Access Research Atlas, identifies areas with poor access to high quality foods, at the local level.
  • The Centers for Disease Control and Prevention's National Environmental Public Health Tracking Network offers county-level reports via its Info by Location tool which includes data on health behaviors, health conditions, air quality, extreme heat, access to parks, and proximity to highways.
  • The National Center for Veterans Analysis and Statistics provides downloadable files of county-level statistics related to the veteran population.
  • The Annie E. Casey Foundation's KIDS COUNT Data Center offers county-level data on children covering demographics and other topics related to children's health and welfare.

For a detailed list of options, see our Data Sources & Tools Relevant to Rural Health, which lists major rural statistical sources, topics covered, and geographic breakdowns available.

What sources offer data by ZIP code or census tract? How might data at these geographic levels be useful?

County-level data may not be detailed enough to meet the needs of a project serving a specific community or service area. Two options for smaller geographic areas are the ZIP Code Tabulation Area (ZCTA) — a geographic representation of U.S. Postal Service ZIP code service areas mapped to Census blocks — and the census tract. Data sources available at this level include:

  • The U.S. Census Bureau's American Community Survey (ACS), provides data on a wide range of demographic and economic topics, available at the ZCTA and census tract. ACS and other Census data tables with ZCTA and census tract level data are available via data.census.gov.
  • The Centers for Disease Control and Prevention's PLACES: Local Data for Better Health, which offers data on health status, health outcomes, prevention, social determinants of health, and health risk behaviors at the ZCTA and census tract level.
  • The U.S. Census Bureau's QuickFacts with ZCTA data on demographic and economic topics in an easy-to-use format.
  • The USDA Economic Research Service's Poverty Area Measures provides census tract data on high, extreme, persistent, and enduring poverty areas.

What sources provide health services data for rural areas or by county?

The following sources include health services data:

  • Rural Children's Health and Health Care, a 2022 data brief from the Maternal and Child Health Bureau, provides data on children's healthcare access and access to dental care.
  • Rural-Urban Differences Among Older Adults, a chartbook from the University of Minnesota Rural Health Research Center, includes data on healthcare access and use for rural older adults.
  • Health, United States, a publication from the National Center for Health Statistics, includes nonmetropolitan data on healthcare access and utilization. See the Data Finder and select “Metropolitan and nonmetropolitan” under Population Subgroups.
  • County Health Rankings & Roadmaps offers county-by-county data on the supply of primary care physicians, dentists, and mental health providers in its Access to Care category of measures.
  • The American Academy of Family Physicians HealthLandscape interactive mapping system can show the location of healthcare facilities and shortage designation areas, in combination with other county-level data relevant to health. Free, but registration required.
  • The Health Resources and Services Administration's data.HRSA.gov has county-level data on health centers, National Health Service Corps sites, and shortage areas.
  • The Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project (HCUP) offers county-level data for selected states via HCUPnet, with data on all hospital stays, diagnosis/procedure, and quality indicators.
  • The Bureau of Economic Analysis provides data on income by industry at the county level, under "Personal Income and Employment by County and Metropolitan Area". This information can be narrowed to the NAICS classification of "Health Care and Social Assistance" or more specifically to focus on just ambulatory care or hospitals, although that level of narrowing may result in some counties not having meaningful data.
  • The Centers for Disease Control and Prevention's Interactive Atlas of Heart Disease and Stroke provides county-level data and maps on heart disease and stroke, with information on health services available and location of healthcare facilities.
  • The Centers for Medicare & Medicaid Services Data.CMS.gov helps identify county-level data sources covering a range of CMS programs.
  • The Centers for Medicare & Medicaid Services Medicare Geographic Comparisons offer state-level and county-level data on Medicare fee-for-service costs, with a comparison to national averages, as well as data on Medicare Advantage facility usage.
  • The Centers for Medicare & Medicaid Services Market Saturation and Utilization State-County offers national, state, and county-level data on provider services and utilization for ambulance services, home health, hospice, long-term care, and other services.
  • The Substance Abuse and Mental Health Services Administration's National Survey on Drug Use and Health includes rural-specific data on mental health services and substance use treatment. Look for detailed tables that list geographic characteristics. County-level data is not available.

What sources cover health behaviors and health status for rural areas or by county?

  • Rural Population Health in the United States: A Chartbook, a 2023 North Carolina Rural Health Research Program report, provides data on health risks, health outcomes, and mortality.
  • Rural Children's Health and Health Care, a 2022 data brief from the Maternal and Child Health Bureau (MCHB), provides data on adverse childhood experiences, weight status, physical activity, and food insecurity. A 2020 MCHB data brief, Rural/Urban Differences in Children's Health, provides data on children's mental and behavioral health.
  • Rural-Urban Differences Among Older Adults, a chartbook from the University of Minnesota Rural Health Research Center, includes data on health behaviors and health status for rural older adults.
  • Health, United States, a publication from the National Center for Health Statistics, includes nonmetropolitan data on health status, risk factors, preventive care, and more. See the Data Finder and select “Metropolitan and nonmetropolitan” under Population Subgroups.
  • The National Health Interview Survey results are available in Tables of Summary Health Statistics, which include metropolitan versus nonmetropolitan data on health status, healthcare access, and limitations in activities due to chronic conditions. Biannual early release estimates of key health indicators by metropolitan status from NHIS are also available if you group by place of residence.
  • The Centers for Disease Control and Prevention's CDC WONDER provides National Vital Statistics System birth and mortality data by county, including information for specific causes of death, by level of urbanization.
  • The CDC's PLACES: Local Data for Better Health offers chronic disease related data covering health status, health outcomes, prevention, social determinants of health, and health risk behaviors, with data at the county, place, census tract, and ZIP code level.
  • The National Institute on Minority Health and Health Disparities' HDPulse Data Portal offers health disparities data at the county level on mortality by cause of death, as well as data on risk factors and health screening.
  • County Health Rankings & Roadmaps offers county-by-county data on health behaviors, social and economic factors, and the environment.
  • The American Academy of Family Physicians HealthLandscape interactive mapping system provides county-level data on health status and health behaviors. Free, but registration required.
  • The Centers for Medicare & Medicaid Services Mapping Medicare Disparities tool covers similar topics, with a focus on health disparities, allowing you to view data by age, race/ethnicity, and gender.
  • The KIDS COUNT Data Center includes county-level children's health data on birth outcomes, deaths, participation in federal health-related programs, child abuse and neglect, and other health-related topics.
  • The National Cancer Institute's State Cancer Profiles provide county-level data and maps on cancer burden, by cancer type and demographic group, as well as screening and risk factor data.
  • The Centers for Disease Control and Prevention's Interactive Atlas of Heart Disease and Stroke provides county-level data and maps on heart disease and stroke, with information available by demographic group. It also covers social determinants of health.
  • The USDA Food Environment Atlas provides county-level data on obesity and resources for physical activity.
  • The National Center for HIV/AIDS, Viral Hepatitis, STD and TB Prevention (NCHHSTP) at the Centers for Disease Control & Prevention sponsors the NCHHSTP AtlasPlus, which provides county-level data for those diseases.  County-level data on HIV are suppressed when there are fewer than five cases.
  • The Substance Abuse and Mental Health Services Administration's National Survey on Drug Use and Health includes rural-specific data on mental health conditions and substance use incidence. Look for detailed tables that list geographic characteristics.

How can I use data.census.gov to get U.S. Census Bureau statistics that focus on rural?

Data.census.gov offers a single portal for accessing data collected by the U.S. Census Bureau. Data may be classified as either urban or rural or metropolitan, micropolitan (large rural), or not in a metropolitan or micropolitan statistical area (small rural). Not all tables include these geographic components. Using these geographic classifications, you can make comparisons such as:

  • U.S. to rural U.S.
  • Urban U.S. to rural U.S.
  • U.S. to Micropolitan to Not Metropolitan/Micropolitan
  • Metropolitan to Micropolitan to Not Metropolitan/Micropolitan both nationally and within a state
  • An entire state to rural for that state
  • Rural for a state to rural U.S.
  • Rural for a state to rural for a neighboring state

There are 2 methods for selecting rural data in data.census.gov:

  • Geography then topic
  • Topic then geography

This presentation shows how to narrow your results to rural using both methods in addition to customization features of data.census.gov:

Selecting Rural Data in data.census.gov

Data.census.gov is a complex product. Updates and various browsers may change how it behaves. Some tips for common issues:

  • If your browser has difficulty loading a table, consider selecting fewer geographies at a time.
  • If your search fails you can click the U.S. Census logo in the upper left to return to the main search page.
  • Try a different browser if you do not get results you expect.

What sources of training and technical assistance are available to learn about U.S. Census data?

The U.S. Census Bureau offers data and data tools across a range of topics including population estimates, health, emergency management, data equity, and more. The Census Bureau's Census Academy offers a range of training options for learning how to use Census Bureau tools and access Census data. These include web-based and in-person classes, video tutorials, recorded webinars, and other training resources.

The American Community Survey offers a series, Handbooks for Data Users, with a variety of guides to using the ACS for different purposes.

The Census Bureau has data dissemination staff who provide training and technical assistance regarding Census Bureau data. The Census Bureau also partners with State Data Centers, which offer additional assistance.

The ACS Data Users Group and Online Community, a partnership of the U.S. Census Bureau and the Population Reference Bureau, offers an online discussion forum, webinars, a conference, and resources for learning more about the ACS.

What are some of the limitations and considerations related to American Community Survey data for rural areas?

As of 2015, counties with a population below 65,000 have access to American Community Survey (ACS) estimates averaged over 5-year periods. Prior to 2015, areas with a population between 20,000 and 65,000 also had the option of estimates averaged over 3-year periods, but those estimates have been discontinued. Areas with a population of 65,000 or more, in comparison, can get annual estimates. Rural areas rely on less-frequent estimates because it takes longer to collect a statistically accurate estimate, given the smaller population and current sampling rate. The current sampling rate means estimates are based on a small number of respondents and publication of those data risk possible identification of respondents.

Population ACS Estimates Available
65,000 or more 1-year
Below 65,000 5-year

A March 2010 RUPRI data brief by Kathleen Miller, The American Community Survey: What it Means for County Data, identifies some disadvantages that result from this averaging:

  • Rural counties have fewer data points to pick from to demonstrate that they meet criteria listed in funding or other opportunities.
  • High and low points will be harder to pinpoint in time.
  • Highs and lows will be averaged out over the longer time-frame, causing it to appear that rural areas are doing better or worse than they actually are.

This RUPRI map identifies counties that had 1-year estimates for 2022 in green. All other counties had 5-year estimates:

2024 American Community Survey 1-Yr Estimates
Source: RUPRI Center for Rural Health Policy Analysis, July 2024

Other special considerations related to the ACS data for rural areas:

  • ACS data should only be compared for the same type of estimate (1-year to 1-year, 5-year to 5-year), and for non-overlapping time periods. An area with 5-year data would only have 2 comparison points per decade. For example, 2012-2016 data could be compared to 2017-2021 data.
  • For areas that only have 5-year estimates available, short-term population changes may be "smoothed" by the longer time-frame estimates.
  • The margin of error (MOE) for areas with smaller populations may be quite high. ACS data are just estimates. You should pay attention to the MOE data provided with all estimates.

The October 2020 U.S. Census Bureau report Understanding and Using American Community Survey Data: What Users of Data for Rural Areas Need to Know provides additional insights about how data for rural areas is collected and should be interpreted and used.

What challenges or limitations do researchers face when analyzing health data for rural populations?

A 1998 issue paper from the National Rural Health Association (NRHA), Facilitating the Use of National Surveys in Rural Health Research, identified confidentiality and sample size as two challenges faced by researchers interested in studying rural populations. Unfortunately, this situation has not changed since the paper was published.

Why do health-related data for rural communities pose confidentiality concerns? An individual with a particular diagnosis might be identifiable based on their condition, either alone or in combination with other data collected, such as age, gender, or date of service. Typically, this type of data is not publicly available, so a researcher who needs access may face barriers or extra steps to get the data.

The sample size collected in rural areas by national surveys may not be adequate to allow for meaningful comparison of the rural area to more populous regions. The ACS addresses this by offering multi-year estimates.

The data I've found seems old. Why are data releases often several years old? How can I decide if the data I have is too old to be useful?

It takes time for data that has been collected to be ready for use. The organization or researcher who collected the data must review it to identify problems such as incomplete submissions, invalid answers, or other problems with the information that makes it suspect. In addition, the data may need to be formatted to match previously collected data and moved to an accessible location.

In addition to the lag time that naturally occurs in collecting and sharing data, there may be gaps because a survey isn't conducted every year or perhaps was a one-time collection that won't be repeated. It is up to you as the user to decide if the older data is still useful or if it would be better to acknowledge that there is no current data available. You could also seek out other sources of data on the topic or request that an organization repeat a survey it has done in the past.

How can I find out how the demographics or population of an area are changing over time?

The USDA Economic Research Service's Atlas of Rural and Small-Town America provides maps and data showing how the population as a whole is changing. ERS also provides a brief overview, with maps and charts, of Components of Population Change for rural areas.

The U.S. Census Bureau's Population Estimates offer both annual and multi-year population change data by county.

The U.S. Census Bureau's American Community Survey releases data every year. For larger communities, annual estimates can be compared from year to year. For smaller population areas, where multi-year estimates are released, care must be taken when comparing estimates over time.

How can I compare data for one geographic region or area to another? Why would I want to?

In comparing data from different geographic areas, it is important to be sure that you are comparing similar data — that is, that it was collected for the same geographic level, using the same methods, and for the same time period. Many of the data sources identified here offer data for each state or for each county, allowing you to compare how different areas are faring. This can be helpful, for example, in arguing to funding agencies that there is an unusual need in your area that is important to address.

What should I be aware of when seeking to compare data from different sources?

If you are not trained in health services research, it would likely be easiest and safest to just compare data from the same source, rather than attempting to directly compare data from one source to another. You could instead include charts or tables with data from different sources side-by-side, with relevant information about differences in data collection methods or target audience.

What types of statistical sources can I find for my area on RHIhub's state guides? What about the state-by-state guide?

Each state guide includes reports and publications specific to that state that address rural health issues, and many of these include statistics. State-produced reports are more likely to focus on concerns that are of particular interest in your state and to look at service areas from a locally-informed perspective. Our state guides may also list web-based resources that provide access to statistics, as well as maps that illustrate healthcare needs in the state.

The state-by-state guide features resources that provide information for most or all states on topics relevant to rural health. These types of resources can offer additional insights about your state's rural health needs and also offer a comparison to other states.

What types of rural statistics can I find on RHIhub's topic guides?

Our topic guides address many issues important to rural health related to population health, the healthcare workforce, health services, and more. The guides identify key reports from federal agencies and national organizations that address the issue, and many of these publications include rural statistics in the form of charts, tables, and maps. The topic guides also list publicly accessible databases and websites that provide statistics. Finally, guide introductions and frequently asked questions often include key statistics as part of their overview of the topic.

What other sources in my state can I contact to find data that may be collected here but not nationally?

These organizations may be able to help you identify additional rural or county-level data available in your state:

Last Updated: 10/14/2024
Last Reviewed: 10/14/2024