Rural Health
Resources by Topic: Statistics and data
Transportation Walking Among US Adults With and Without Transportation Insecurity, 2022 National Health Interview Survey
Reports on a study describing transportation walking among adults with and without transportation insecurity, using data on 25,889 adults. Features demographics and statistics with breakdowns by metropolitan and nonmetropolitan areas.
Author(s): Graycie Soto, Miriam E. Van Dyke, Jasmine Y. Nakayama, et al.
Citation: Preventing Chronic Disease, 23
Date: 09/2026
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Reports on a study describing transportation walking among adults with and without transportation insecurity, using data on 25,889 adults. Features demographics and statistics with breakdowns by metropolitan and nonmetropolitan areas.
Author(s): Graycie Soto, Miriam E. Van Dyke, Jasmine Y. Nakayama, et al.
Citation: Preventing Chronic Disease, 23
Date: 09/2026
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Digital Health Readiness and Medicare Primary Care Spending: Nationwide County-Level Observational Analysis
Analyzes associations between county-level digitalization and Medicare primary care spending for Federally Qualified Health Centers (FQHCs) and Rural Health Clinics (RHCs) in 2,993 counties between 2017 and 2023 using the Digital Health Index. Discusses the differences when comparing within a county over time and between counties, as well as the impact on healthcare access and socioeconomic factors.
Author(s): Zhaoqiang Zhou, John Geracitano, Baiming Zou, Saif Khairat
Citation: Journal of Medical Internet Research, 28
Date: 09/2026
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Analyzes associations between county-level digitalization and Medicare primary care spending for Federally Qualified Health Centers (FQHCs) and Rural Health Clinics (RHCs) in 2,993 counties between 2017 and 2023 using the Digital Health Index. Discusses the differences when comparing within a county over time and between counties, as well as the impact on healthcare access and socioeconomic factors.
Author(s): Zhaoqiang Zhou, John Geracitano, Baiming Zou, Saif Khairat
Citation: Journal of Medical Internet Research, 28
Date: 09/2026
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Wireless Substitution: Early Release of Estimates from the National Health Interview Survey, July-December 2025
Provides data on households that rely on wireless telephones rather than landlines. Includes data on the percent of adults who live in wireless-only households and have their own wireless telephone, as well as data on phoneless adults. Provides data for nonmetropolitan compared to metropolitan areas.
Date: 09/2026
Sponsoring organization: National Center for Health Statistics
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Provides data on households that rely on wireless telephones rather than landlines. Includes data on the percent of adults who live in wireless-only households and have their own wireless telephone, as well as data on phoneless adults. Provides data for nonmetropolitan compared to metropolitan areas.
Date: 09/2026
Sponsoring organization: National Center for Health Statistics
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Poverty in the United States: 2025
Reports on poverty rates for 2024 and 2025, including changes in the official poverty measure rate and changes in the Supplemental Poverty Measure rate. Separate tables include statistics for metropolitan and nonmetropolitan areas. Based on data from the 2026 and earlier Current Population Survey Annual Social and Economic Supplements.
Additional links: Table 1: Official Poverty Measure (Excel), Table 4: Supplemental Poverty Measure (Excel), Table 7: Comparison of Official and Supplemental Poverty Measures (Excel)
Author(s): Christina Bijou, Emily A. Shrider
Date: 09/2026
Sponsoring organization: U.S. Census Bureau
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Reports on poverty rates for 2024 and 2025, including changes in the official poverty measure rate and changes in the Supplemental Poverty Measure rate. Separate tables include statistics for metropolitan and nonmetropolitan areas. Based on data from the 2026 and earlier Current Population Survey Annual Social and Economic Supplements.
Additional links: Table 1: Official Poverty Measure (Excel), Table 4: Supplemental Poverty Measure (Excel), Table 7: Comparison of Official and Supplemental Poverty Measures (Excel)
Author(s): Christina Bijou, Emily A. Shrider
Date: 09/2026
Sponsoring organization: U.S. Census Bureau
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Alpha-gal Syndrome Symptom Profiles and Diagnostic Experiences Among Farmers and Ranchers
Surveys 201 farmers and ranchers with an alpha-gal syndrome (AGS) diagnosis on their knowledge of AGS prior to diagnosis, symptoms, and diagnosis experience. Discusses demographic differences, the number of medical provider visits for a diagnosis, and the type of medical professional providing the diagnosis.
Author(s): Alexandrea M. Welch, Cheryl L. Beseler, Shaun T. Cross
Citation: Journal of Agromedicine
Date: 09/2026
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Surveys 201 farmers and ranchers with an alpha-gal syndrome (AGS) diagnosis on their knowledge of AGS prior to diagnosis, symptoms, and diagnosis experience. Discusses demographic differences, the number of medical provider visits for a diagnosis, and the type of medical professional providing the diagnosis.
Author(s): Alexandrea M. Welch, Cheryl L. Beseler, Shaun T. Cross
Citation: Journal of Agromedicine
Date: 09/2026
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Investigating the Role of Advanced Driver Assistance Systems (ADAS) in Reducing Sideswipe Collisions in Rural Ohio
Examines the efficacy of Advanced Driver Assistance Systems (ADAS) in preventing severe sideswipe crashes on rural roads. Utilizes 2017-2023 data from 49 rural Ohio counties to analyze sideswipe crashes according to severity, driver demographics, ADAS operations, and driving conditions. Discusses the impact of ADAS in variable driving situations to prevent sideswipe crashes and related injuries and fatalities in rural communities.
Author(s): Abdul Ngereza, Boniphace Kutela, Ibrahim Ibrahim, et al.
Citation: Journal of Safety Research, 98, 599-611
Date: 09/2026
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Examines the efficacy of Advanced Driver Assistance Systems (ADAS) in preventing severe sideswipe crashes on rural roads. Utilizes 2017-2023 data from 49 rural Ohio counties to analyze sideswipe crashes according to severity, driver demographics, ADAS operations, and driving conditions. Discusses the impact of ADAS in variable driving situations to prevent sideswipe crashes and related injuries and fatalities in rural communities.
Author(s): Abdul Ngereza, Boniphace Kutela, Ibrahim Ibrahim, et al.
Citation: Journal of Safety Research, 98, 599-611
Date: 09/2026
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Income in the United States: 2025
Reports on pre-tax money income and post-tax income levels for 2024 and 2025, along with the percent change from 2024 to 2025. Separate tables include statistics for metropolitan and nonmetropolitan areas. Based on data from the 2026 and earlier Current Population Survey Annual Social and Economic Supplements.
Additional links: Table 1: Income Summary (Excel), Table 3: Post-Tax Household Income Summary (Excel), Table 4: Money Income and Post-Tax Income (Excel)
Author(s): Melissa Kollar, Zach Scherer
Date: 09/2026
Sponsoring organization: U.S. Census Bureau
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Reports on pre-tax money income and post-tax income levels for 2024 and 2025, along with the percent change from 2024 to 2025. Separate tables include statistics for metropolitan and nonmetropolitan areas. Based on data from the 2026 and earlier Current Population Survey Annual Social and Economic Supplements.
Additional links: Table 1: Income Summary (Excel), Table 3: Post-Tax Household Income Summary (Excel), Table 4: Money Income and Post-Tax Income (Excel)
Author(s): Melissa Kollar, Zach Scherer
Date: 09/2026
Sponsoring organization: U.S. Census Bureau
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Cooperative Extension in Transition: Trends Through 2024
Reports on funding and program areas of Cooperative Extension programs from 1915 through 2024. Details how Cooperative Extension programs support agricultural education, nutrition, community development, and other topics relevant to rural populations.
Additional links: Report Summary
Author(s): Tatiana Borisova, Keith Fuglie, Benjamin Garber, Sun Ling Wang
Date: 09/2026
Sponsoring organization: USDA Economic Research Service
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Reports on funding and program areas of Cooperative Extension programs from 1915 through 2024. Details how Cooperative Extension programs support agricultural education, nutrition, community development, and other topics relevant to rural populations.
Additional links: Report Summary
Author(s): Tatiana Borisova, Keith Fuglie, Benjamin Garber, Sun Ling Wang
Date: 09/2026
Sponsoring organization: USDA Economic Research Service
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Outpatient Care Fragmentation and Patient Satisfaction With Care
Examines the relationship between outpatient care fragmentation and Medicare patient satisfaction. Utilizes 2020-2022 survey data from 2,294 Medicare beneficiaries to analyze physician and practice-level fragmentation alongside patient satisfaction, measured by perceived accessibility, communication, coordination, and quality as experienced by rural, suburban, and urban Medicare populations.
Author(s): Isabella Ratto, Neelam Ahmed, Mengyuan Chen, et al.
Citation: Journal of Rural Health, 42(3), e70220
Date: 09/2026
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Examines the relationship between outpatient care fragmentation and Medicare patient satisfaction. Utilizes 2020-2022 survey data from 2,294 Medicare beneficiaries to analyze physician and practice-level fragmentation alongside patient satisfaction, measured by perceived accessibility, communication, coordination, and quality as experienced by rural, suburban, and urban Medicare populations.
Author(s): Isabella Ratto, Neelam Ahmed, Mengyuan Chen, et al.
Citation: Journal of Rural Health, 42(3), e70220
Date: 09/2026
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Cancer Survival Differences Between Rural and Urban Populations During the Opioid Epidemic: A SEER Analysis
Explores how rural and urban cancer survival changed over time during the U.S. opioid epidemic, and how rural cancer survival disparities were associated with increasing drug mortality during the same period. Utilizes 2000-2016 SEER and CDC WONDER data.
Author(s): Martin G. Bouldo, Daniel J. Becker
Citation: Anticancer Research, 46(9), 4973-4984
Date: 09/2026
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Explores how rural and urban cancer survival changed over time during the U.S. opioid epidemic, and how rural cancer survival disparities were associated with increasing drug mortality during the same period. Utilizes 2000-2016 SEER and CDC WONDER data.
Author(s): Martin G. Bouldo, Daniel J. Becker
Citation: Anticancer Research, 46(9), 4973-4984
Date: 09/2026
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