Rural Health
Resources by Topic: Poverty
The Relationship Between the Population Experiencing Homelessness and Living in Shelters and Poverty
Presents as paper exploring the U.S. Census data related to poverty for the housed and unhoused population. Discusses how these groups compare to one another. Breaks down data by rural, urban, and national rates.
Author(s): Brian Glassman
Date: 07/2025
Sponsoring organization: U.S. Census Bureau
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Presents as paper exploring the U.S. Census data related to poverty for the housed and unhoused population. Discusses how these groups compare to one another. Breaks down data by rural, urban, and national rates.
Author(s): Brian Glassman
Date: 07/2025
Sponsoring organization: U.S. Census Bureau
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The Role of Rurality, Travel Time, and Neighborhood Socioeconomics on Patterns of Adjuvant Therapy Receipt among Patients with Endometrial Cancer
Analyzes associations between rurality, distance to care, and community socioeconomics on receipt of any adjuvant therapy, including vaginal brachytherapy, external beam radiation, and chemotherapy, for the treatment for endometrial cancer. Utilizes SEER data of patients diagnosed between 2006 and 2017.
Author(s): Victoria M. Petermann, Stephanie B. Wheeler, Jennifer L. Lund, et al.
Citation: Cancer Epidemiology, Biomarkers & Prevention, 34(8), 1277-1285
Date: 06/2025
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Analyzes associations between rurality, distance to care, and community socioeconomics on receipt of any adjuvant therapy, including vaginal brachytherapy, external beam radiation, and chemotherapy, for the treatment for endometrial cancer. Utilizes SEER data of patients diagnosed between 2006 and 2017.
Author(s): Victoria M. Petermann, Stephanie B. Wheeler, Jennifer L. Lund, et al.
Citation: Cancer Epidemiology, Biomarkers & Prevention, 34(8), 1277-1285
Date: 06/2025
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Maryland Hunger Profiles
Provides state- and county-level data on age of population, median household income, childhood and older adult poverty levels, and food program usage in Maryland. Discusses strategies to end hunger in the state.
Date: 05/2025
Sponsoring organization: Maryland Hunger Solutions
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Provides state- and county-level data on age of population, median household income, childhood and older adult poverty levels, and food program usage in Maryland. Discusses strategies to end hunger in the state.
Date: 05/2025
Sponsoring organization: Maryland Hunger Solutions
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County Economic Status in Appalachia, FY 2026
Shows levels of economic distress in Appalachian counties based on unemployment rates, income, and poverty levels. Includes interactive map, downloadable maps and data files, and data report.
Date: 05/2025
Sponsoring organization: Appalachian Regional Commission
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Shows levels of economic distress in Appalachian counties based on unemployment rates, income, and poverty levels. Includes interactive map, downloadable maps and data files, and data report.
Date: 05/2025
Sponsoring organization: Appalachian Regional Commission
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Economic Hardship and Health Within Sociodemographic and Occupational Groups — Behavioral Risk Factor Surveillance System, United States, 2022–2023
Reports on economic hardship measures and self-rated health among employed and recently unemployed adults. Hardship measures included lack of health insurance, cost of medical care, employment instability, food insecurity, housing insecurity, utility insecurity, lack of reliable transportation, and receipt of food benefits. Provides data by occupation, including for people employed in farming, fishing, and forestry.
Author(s): Sharon R. Silver, Jia Li, Taylor M. Shockey
Citation: MMWR (Morbidity and Mortality Weekly Report), 74(19), 326-333
Date: 05/2025
Sponsoring organization: Centers for Disease Control and Prevention
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Reports on economic hardship measures and self-rated health among employed and recently unemployed adults. Hardship measures included lack of health insurance, cost of medical care, employment instability, food insecurity, housing insecurity, utility insecurity, lack of reliable transportation, and receipt of food benefits. Provides data by occupation, including for people employed in farming, fishing, and forestry.
Author(s): Sharon R. Silver, Jia Li, Taylor M. Shockey
Citation: MMWR (Morbidity and Mortality Weekly Report), 74(19), 326-333
Date: 05/2025
Sponsoring organization: Centers for Disease Control and Prevention
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County Typology Codes
Presents county-level typology codes, comprising Economic Typology Codes based on the industrial composition of nonmetropolitan counties and Demographic Typology Codes based on demographic characteristics, such as employment, population, poverty, and others. Classifies all counties in the 50 U.S. States and Washington, D.C. for which data are available.
Date: 04/2025
Sponsoring organization: USDA Economic Research Service
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Presents county-level typology codes, comprising Economic Typology Codes based on the industrial composition of nonmetropolitan counties and Demographic Typology Codes based on demographic characteristics, such as employment, population, poverty, and others. Classifies all counties in the 50 U.S. States and Washington, D.C. for which data are available.
Date: 04/2025
Sponsoring organization: USDA Economic Research Service
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Resilient, Engaged and Connected (REC) Study: Protocol for a Type 2 Cluster-Randomised Trial of the Chicago Parent Program in Prekindergarten in Low-Income Urban and Rural Communities
Provides an overview of a intervention that aims to improve social, emotional, and behavioral (SEB) readiness in pre-kindergarten (PreK) children by supporting and engaging low-income parents. Utilizes a mixed methods study design to examine PreK readiness in rural and urban children in Maryland when implementing an evidence-based SEB parenting program.
Author(s): Deborah Gross, Susan M. Breitenstein, Lieny Jeon, et al.
Citation: BMJ Open, 15(4)
Date: 04/2025
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Provides an overview of a intervention that aims to improve social, emotional, and behavioral (SEB) readiness in pre-kindergarten (PreK) children by supporting and engaging low-income parents. Utilizes a mixed methods study design to examine PreK readiness in rural and urban children in Maryland when implementing an evidence-based SEB parenting program.
Author(s): Deborah Gross, Susan M. Breitenstein, Lieny Jeon, et al.
Citation: BMJ Open, 15(4)
Date: 04/2025
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Challenges in Researching the Diets of SNAP Recipients — Addressing Methodological Flaws and Emphasizing SNAP as an Anti-Hunger Program
Provides information on food insecurity in the U.S. and the role of Supplemental Nutrition Assistance Program (SNAP) to improve access to healthy food. Includes state-by-state data on poverty, food insecurity, and SNAP usage, including percentage of SNAP households living in rural counties.
Date: 03/2025
Sponsoring organization: Food Research & Action Center
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Provides information on food insecurity in the U.S. and the role of Supplemental Nutrition Assistance Program (SNAP) to improve access to healthy food. Includes state-by-state data on poverty, food insecurity, and SNAP usage, including percentage of SNAP households living in rural counties.
Date: 03/2025
Sponsoring organization: Food Research & Action Center
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Lung Cancer Disparities in Rural, Persistent Poverty Counties: A Secondary Data Analysis
Examines lung cancer incidence and mortality according to county-level smoking rates, rurality, and poverty. Analyzes county types, such as urban and non-persistent poverty, urban and persistent poverty, rural and non-persistent poverty, and rural and persistent poverty as correlated with lung cancer disparities.
Author(s): Veronica Bernacchi, Kelly Hirko, Eric Adjei Boakye, et al.
Citation: BMC Public Health, 25, 878
Date: 03/2025
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Examines lung cancer incidence and mortality according to county-level smoking rates, rurality, and poverty. Analyzes county types, such as urban and non-persistent poverty, urban and persistent poverty, rural and non-persistent poverty, and rural and persistent poverty as correlated with lung cancer disparities.
Author(s): Veronica Bernacchi, Kelly Hirko, Eric Adjei Boakye, et al.
Citation: BMC Public Health, 25, 878
Date: 03/2025
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The 10-20-30 Provision: Defining Persistent Poverty Counties
Defines persistent poverty counties. Discusses how differences in definitions and data can affect which counties are considered persistently poor and includes a map highlighting the impact of different rounding methods. Briefly addresses legislation targeting persistent poverty counties using the "10-20-30 provision," including rural development funding. Table 3 lists persistent poverty counties based on data from the 1993 Small Area Income and Poverty Estimates (SAIPE), Census 2000, and the 2023 SAIPE.
Date: 03/2025
Sponsoring organization: Congressional Research Service
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Defines persistent poverty counties. Discusses how differences in definitions and data can affect which counties are considered persistently poor and includes a map highlighting the impact of different rounding methods. Briefly addresses legislation targeting persistent poverty counties using the "10-20-30 provision," including rural development funding. Table 3 lists persistent poverty counties based on data from the 1993 Small Area Income and Poverty Estimates (SAIPE), Census 2000, and the 2023 SAIPE.
Date: 03/2025
Sponsoring organization: Congressional Research Service
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