This map shows where people have Medicaid or means-tested healthcare coverage in the US (ages under 65). This is shown by State, County, and Census Tract, and uses the most current ACS 5-year estimates.The map shows the percentage of the population with Medicaid or means-tested coverage, and also shows the total count of population with Medicaid or means-tested coverage. Because of Medicare starting at age 65, this map represents the population under 65. This map shows a pattern using both centroids and boundaries. This helps clarify where specific areas reach. The data shown is current-year American Community Survey (ACS) data from the US Census. The data is updated each year when the ACS releases its new 5-year estimates. To see the original layers used in this map, visit this group. To learn more about the vintage and data source, click here to visit the Living Atlas layer used in the map.To learn more about when the ACS releases data updates, click here.

CLICK ON THE ABOVE IMAGE TO LAUNCH THE MAP - Healthcare access issues vary greatly between urban and rural areas of New Mexico. Launch the map to explore alternate ways to classify geographies as urban or rural. These classifications are often used for food access as well as healthcare access.BIBLIOGRAPHY WITH LINKS:US Census Bureau, Urban Area - Urban Cluster FAQ - https://www2.census.gov/geo/pdfs/reference/ua/2010ua_faqs.pdfAre the problems with Rural areas actually just a result of definitions that change?: "When a rural county grows, it transmutes into an urban one." - The real (surprisingly comforting) reason rural America is doomed to decline, https://www.washingtonpost.com/business/2019/05/24/real-surprisingly-comforting-reason-rural-america-is-doomed-decline/ (See also the complete study - http://programme.exordo.com/2018annualmeeting/delegates/presentation/130/ )Rural Definitions for Health Policy, Harvey Licht, a presentation for the University of New Mexico Center for Health Policy: : http://nmcdc.maps.arcgis.com/home/item.html?id=7076f283b8de4bb69bf3153bc42e0402Rural Definitions for Health Policy, update of 2019, Harvey Licht, a presentation to the NMDOH Quarterly Epidemiology Meeting, November, 2019 - http://www.arcgis.com/home/item.html?id=a60a73f4e5614eb3ab01e2f96227ce4bNew Mexico Rural-Urban Counties Comparison Tables - October 2017, Harvey Licht, A preliminary compilation for the National Conference of State Legislators Rural Health Plan Taskforce : https://nmcdc.maps.arcgis.com/home/item.html?id=d3ca56e99f8b45c58522b2f9e061999eNew Mexico Rural Health Plan - Report of the Rural Health Planning Workgroup convened by the NM Department of Health 2018-2019 - http://nmcdc.maps.arcgis.com/home/item.html?id=d4b9b66a5ca34ec9bbe90efd9562586aFrontier and Remote Areas Zip Code Map - http://nmcdc.maps.arcgis.com/home/webmap/viewer.html?webmap=56b4005256244499a58f863c17bbac8aHOUSING ISSUES, RURAL & URBAN, 2017 - http://nmcdc.maps.arcgis.com/home/webmap/viewer.html?webmap=3e3aeabc04ac4672994e25a1ec94df83FURTHER READING:What is Rural? Rural Health Information Hub: https://www.ruralhealthinfo.org/topics/what-is-ruralDefining Rural. Research and Training Center on Disability in Rural Communities: http://rtc.ruralinstitute.umt.edu/resources/defining-rural/What is Rural? USDA: https://www.ers.usda.gov/topics/rural-economy-population/rural-classifications/what-is-rural/National Center for Health Statistics Urban–Rural Classification Scheme: https://www.cdc.gov/nchs/data_access/urban_rural.htm.Health-Related Behaviors by Urban-Rural County Classification — United States, 2013, CDC: https://www.cdc.gov/mmwr/volumes/66/ss/ss6605a1.htm?s_cid=ss6605a1_wExtending Work on Rural Health Disparities, The Journal of Rural Health: http://onlinelibrary.wiley.com/doi/10.1111/jrh.12241/fullMinority Populations Driving Community Growth in the Rural West, Headwaters Economics: https://headwaterseconomics.org/economic-development/trends-performance/minority-populations-driving-county-growth/ Methodology - https://headwaterseconomics.org/wp-content/uploads/Minorities_Methods.pdfThe Role of Medicaid in Rural America, Kaiser Family Foundation: http://www.kff.org/medicaid/issue-brief/the-role-of-medicaid-in-rural-america/The Future of the Frontier: Water, Energy & Climate Change in America’s Most Remote Communities: http://frontierus.org/wp-content/uploads/2017/09/FUTURE-OF-THE-FRONTIER_Final-Version_Spring-2017.pdfRural and Urban Differences in Passenger-Vehicle–Occupant Deaths and Seat Belt Use Among Adults — United States, 2014, CDC: https://www.cdc.gov/mmwr/volumes/66/ss/ss6617a1.htm

This layer shows the market potential for an adult to carry medical/hospital/accident insurance in the U.S. in 2016 in a multiscale map (by country, state, county, ZIP Code, tract, and block group). The pop-up is configured to include the following information for each geography level:Market Potential Index and count of adults expected to carry medical/hospital/accident insuranceMarket Potential Index and count of adults expected to carry different types of medical insurance (HMO, PPO, etc)Market Potential Index and count of adults expected to carry insurance from various sources (Medicare, place of work, etc)Esri's 2016 Market Potential (MPI) data measures the likely demand for a product or service in an area. The database includes an expected number of consumers and a Market Potential Index (MPI) for each product or service. An MPI compares the demand for a specific product or service in an area with the national demand for that product or service. The MPI values at the US level are 100, representing average demand for the country. A value of more than 100 represents higher demand than the national average, and a value of less than 100 represents lower demand than the national average. For example, an index of 120 implies that demand in the area is 20 percent higher than the US average; an index of 80 implies that demand is 20 percent lower than the US average. See Market Potential database to view the methodology statement and complete variable list.Esri's Financial & Insurance Data Collection includes data that measures the likely demand for financial and insurance products and services, including health insurance. The database includes an expected number of consumers and a Market Potential Index (MPI) for each product, activity, or service. See the United States Data Browser to view complete variable lists for each Esri demographics collection.Additional Esri Resources:U.S. 2016/2021 Esri Updated DemographicsEssential demographic vocabularyEsri's arcgis.com demographic map layers

CLICK ON THE ABOVE IMAGE TO LAUNCH THE MAP - Healthcare access issues vary greatly between urban and rural areas of New Mexico. Launch the map to explore alternate ways to classify geographies as urban or rural. These classifications are often used for food access as well as healthcare access.BIBLIOGRAPHY WITH LINKS:Rural Definitions for Health Policy, Harvey Licht, a presentation for the University of New Mexico Center for Health Policy: : http://nmcdc.maps.arcgis.com/home/item.html?id=7076f283b8de4bb69bf3153bc42e0402New Mexico Rural-Urban Counties Comparison Tables - October 2017, Harvey Licht, A preliminary compilation for the National Conference of State Legislators Rural Health Plan Taskforce : https://nmcdc.maps.arcgis.com/home/item.html?id=d3ca56e99f8b45c58522b2f9e061999eFrontier and Remote Areas Map - http://nmcdc.maps.arcgis.com/home/webmap/viewer.html?webmap=56b4005256244499a58f863c17bbac8aFURTHER READING:What is Rural? Rural Health Information Hub: https://www.ruralhealthinfo.org/topics/what-is-ruralDefining Rural. Research and Training Center on Disability in Rural Communities: http://rtc.ruralinstitute.umt.edu/resources/defining-rural/What is Rural? USDA: https://www.ers.usda.gov/topics/rural-economy-population/rural-classifications/what-is-rural/National Center for Health Statistics Urban–Rural Classification Scheme: https://www.cdc.gov/nchs/data_access/urban_rural.htm.Health-Related Behaviors by Urban-Rural County Classification — United States, 2013, CDC: https://www.cdc.gov/mmwr/volumes/66/ss/ss6605a1.htm?s_cid=ss6605a1_wExtending Work on Rural Health Disparities, The Journal of Rural Health: http://onlinelibrary.wiley.com/doi/10.1111/jrh.12241/fullMinority Populations Driving Community Growth in the Rural West, Headwaters Economics: https://headwaterseconomics.org/economic-development/trends-performance/minority-populations-driving-county-growth/ Methodology - https://headwaterseconomics.org/wp-content/uploads/Minorities_Methods.pdfThe Role of Medicaid in Rural America, Kaiser Family Foundation: http://www.kff.org/medicaid/issue-brief/the-role-of-medicaid-in-rural-america/The Future of the Frontier: Water, Energy & Climate Change in America’s Most Remote Communities: http://frontierus.org/wp-content/uploads/2017/09/FUTURE-OF-THE-FRONTIER_Final-Version_Spring-2017.pdfRural and Urban Differences in Passenger-Vehicle–Occupant Deaths and Seat Belt Use Among Adults — United States, 2014, CDC: https://www.cdc.gov/mmwr/volumes/66/ss/ss6617a1.htm

This map image layer represents the U.S. Department of Health and Human Services (HHS) emPOWER Program, a partnership between ASPR and the Centers for Medicare and Medicaid Services, provides dynamic data and mapping tools to help communities protect the health of more than 4.1 million Medicare beneficiaries who live independently and rely on electricity-dependent medical equipment and health care servicesASPR, in partnership with the Centers for Medicare and Medicaid Services (CMS), provide de-identified and aggregated Medicare beneficiary claims data at the state/territory, county, and ZIP code levels in the HHS emPOWER Map and this public HHS emPOWER REST Service. The REST Service includes aggregated data from the Medicare Fee-For-Service (Parts A&B) and Medicare Advantage (Part C) Programs for beneficiaries who rely on electricity-dependent durable medical equipment (DME) and cardiac implantable devices. Data includes the following DME and devices: cardiac devices (left, right, and bi-ventricular assistive devices (LVAD, RVAD, BIVAD) and total artificial hearts (TAH)), ventilators (invasive, non-invasive and oscillating vests), bi-level positive airway pressure device (BiPAP), oxygen concentrator, enteral feeding tube, intravenous (IV) infusion pump, suction pump, end-stage renal disease (ESRD) at-home dialysis, motorized wheelchair or scooter, and electric bed. Purpose: Over 2.5 million Medicare beneficiaries rely on electricity-dependent medical equipment, such as ventilators, to live independently in their homes. Severe weather and other emergencies, especially those with long power outages, can be life-threatening for these individuals. The HHS emPOWER Map and public REST Service give every public health official, emergency manager, hospital, first responder, electric company, and community member the power to discover the electricity-dependent Medicare population in their state/territory, county, and ZIP Code. Data Source: The REST Service’s data is developed from Medicare Fee-For-Service (Part A & B) (>33M 65+, blind, ESRD [dialysis], dual-eligible, disabled [adults and children]) and Medicare Advantage (Part C) (>21M 65+, blind, ESRD [dialysis], dual-eligible, disabled [adults and children]) beneficiary administrative claims data. This data does not include individuals that are only enrolled in a State Medicaid Program. Note that Medicare DME are subject to insurance claim reimbursement caps (e.g. rental caps) that differ by type, so the DME may have different “look-back” periods (e.g. ventilators are 13 months and oxygen concentrators are 36 months). ZIP Code Aggregation: Some ZIP Codes do not have specific geospatial boundary data (e.g., P.O. Box ZIP Codes). To capture the complete population data, the HHS emPOWER Program identified the larger boundary ZIP Code (Parent) within which the non-boundary ZIP Code (Child) resides. The totals are added together and displayed under the parent ZIP Code. Approved Data Uses: The public HHS emPOWER REST Service is approved for use by all partners and is intended to be used to help inform and support emergency preparedness, response, recovery, and mitigation activities in all communities. Privacy Protections: Protecting the privacy of Medicare beneficiaries is an essential priority for the HHS emPOWER Program. Therefore, all personally identifiable information are removed from the data and numerous de-identification methods are applied to significantly minimize, if not completely mitigate, any potential for deduction of small cells or re-identification risk. For example, any cell size found between the range of 1 and 10 is masked and shown as 11.HHS emPOWER Program Executive SummaryHHS emPOWER Program Informational Power Point.

Data Overview: ASPR, in partnership with the Centers for Medicare and Medicaid Services (CMS), provide de-identified and aggregated Medicare beneficiary claims data at the state/territory, county, and ZIP code levels in the HHS emPOWER Map and this public HHS emPOWER REST Service. The REST Service includes aggregated data from the Medicare Fee-For-Service (Parts A&B) and Medicare Advantage (Part C) Programs for beneficiaries who rely on electricity-dependent durable medical equipment (DME) and cardiac implantable devices.

Data includes the following DME and devices: Cardiac devices (left, right, and bi-ventricular assistive devices
  (LVAD, RVAD, BIVAD) and total artificial hearts (TAH)), ventilators
  (invasive, non-invasive and oscillating vests), bi-level positive airway
  pressure device (BiPAP), oxygen concentrator, enteral feeding tube,
  intravenous (IV) infusion pump, suction pump, end-stage renal disease
  (ESRD) at-home dialysis, motorized wheelchair or scooter, and electric
  bed.



Purpose: Over 3 million Medicare beneficiaries rely on electricity-dependent
 medical equipment, such as ventilators, to live independently in their
 homes. Severe weather and other emergencies, especially those with long
 power outages, can be life-threatening for these individuals. The HHS
 emPOWER Map and public REST Service give every public health official,
 emergency manager, hospital, first responder, electric company, and
 community member the power to discover the electricity-dependent Medicare
 population in their state/territory, county, and ZIP Code.



Data Source: The REST Service’s data is developed from Medicare Fee-For-Service
  (Part A & B) (>33M 65+, blind, ESRD [dialysis], dual-eligible,
  disabled [adults and children]) and Medicare Advantage (Part C) (>21M
  65+, blind, ESRD [dialysis], dual-eligible, disabled [adults and
  children]) beneficiary administrative claims data. This data does not
  include individuals that are only enrolled in a State Medicaid Program.
  Note that Medicare DME are subject to insurance claim reimbursement caps
  (e.g. rental caps) that differ by type, so the DME may have different
  “look-back” periods (e.g. ventilators are 13 months and oxygen
  concentrators are 36 months).



ZIP Code Aggregation: Some ZIP Codes do not have specific geospatial boundary data (e.g.,
  P.O. Box ZIP Codes). To capture the complete population data, the HHS
  emPOWER Program identified the larger boundary ZIP Code (Parent) within
  which the non-boundary ZIP Code (Child) resides. The totals are added
  together and displayed under the parent ZIP Code.




Approved Data Uses: The public HHS emPOWER REST Service is approved for use by all partners
  and is intended to be used to help inform and support emergency
  preparedness, response, recovery, and mitigation activities in all
  communities.






Privacy Protections: Protecting the privacy of Medicare beneficiaries is an essential
  priority for the HHS emPOWER Program. Therefore, all personally
  identifiable information are removed from the data and numerous
  de-identification methods are applied to significantly minimize, if not
  completely mitigate, any potential for deduction of small cells or
  re-identification risk. For example, any cell size found between the
  range of 1 and 10 is masked and shown as 11.

Data Overview: ASPR, in partnership with the Centers for Medicare and Medicaid Services (CMS), provide de-identified and aggregated Medicare beneficiary claims data at the state/territory, county, and ZIP code levels in the HHS emPOWER Map and this public HHS emPOWER REST Service. The REST Service includes aggregated data from the Medicare Fee-For-Service (Parts A&B) and Medicare Advantage (Part C) Programs for beneficiaries who rely on electricity-dependent durable medical equipment (DME) and cardiac implantable devices.

Data includes the following DME and devices: Cardiac devices (left, right, and bi-ventricular assistive devices
  (LVAD, RVAD, BIVAD) and total artificial hearts (TAH)), ventilators
  (invasive, non-invasive and oscillating vests), bi-level positive airway
  pressure device (BiPAP), oxygen concentrator, enteral feeding tube,
  intravenous (IV) infusion pump, suction pump, end-stage renal disease
  (ESRD) at-home dialysis, motorized wheelchair or scooter, and electric
  bed.



Purpose: Over 3 million Medicare beneficiaries rely on electricity-dependent
 medical equipment, such as ventilators, to live independently in their
 homes. Severe weather and other emergencies, especially those with long
 power outages, can be life-threatening for these individuals. The HHS
 emPOWER Map and public REST Service give every public health official,
 emergency manager, hospital, first responder, electric company, and
 community member the power to discover the electricity-dependent Medicare
 population in their state/territory, county, and ZIP Code.



Data Source: The REST Service’s data is developed from Medicare Fee-For-Service
  (Part A & B) (>33M 65+, blind, ESRD [dialysis], dual-eligible,
  disabled [adults and children]) and Medicare Advantage (Part C) (>21M
  65+, blind, ESRD [dialysis], dual-eligible, disabled [adults and
  children]) beneficiary administrative claims data. This data does not
  include individuals that are only enrolled in a State Medicaid Program.
  Note that Medicare DME are subject to insurance claim reimbursement caps
  (e.g. rental caps) that differ by type, so the DME may have different
  “look-back” periods (e.g. ventilators are 13 months and oxygen
  concentrators are 36 months).



ZIP Code Aggregation: Some ZIP Codes do not have specific geospatial boundary data (e.g.,
  P.O. Box ZIP Codes). To capture the complete population data, the HHS
  emPOWER Program identified the larger boundary ZIP Code (Parent) within
  which the non-boundary ZIP Code (Child) resides. The totals are added
  together and displayed under the parent ZIP Code.




Approved Data Uses: The public HHS emPOWER REST Service is approved for use by all partners
  and is intended to be used to help inform and support emergency
  preparedness, response, recovery, and mitigation activities in all
  communities.






Privacy Protections: Protecting the privacy of Medicare beneficiaries is an essential
  priority for the HHS emPOWER Program. Therefore, all personally
  identifiable information are removed from the data and numerous
  de-identification methods are applied to significantly minimize, if not
  completely mitigate, any potential for deduction of small cells or
  re-identification risk. For example, any cell size found between the
  range of 1 and 10 is masked and shown as 11.

Data Overview: ASPR, in partnership with the Centers for Medicare and Medicaid Services (CMS), provide de-identified and aggregated Medicare beneficiary claims data at the state/territory, county, and ZIP code levels in the HHS emPOWER Map and this public HHS emPOWER REST Service. The REST Service includes aggregated data from the Medicare Fee-For-Service (Parts A&B) and Medicare Advantage (Part C) Programs for beneficiaries who rely on electricity-dependent durable medical equipment (DME) and cardiac implantable devices.

Data includes the following DME and devices: Cardiac devices (left, right, and bi-ventricular assistive devices
  (LVAD, RVAD, BIVAD) and total artificial hearts (TAH)), ventilators
  (invasive, non-invasive and oscillating vests), bi-level positive airway
  pressure device (BiPAP), oxygen concentrator, enteral feeding tube,
  intravenous (IV) infusion pump, suction pump, end-stage renal disease
  (ESRD) at-home dialysis, motorized wheelchair or scooter, and electric
  bed.



Purpose: Over 3 million Medicare beneficiaries rely on electricity-dependent
 medical equipment, such as ventilators, to live independently in their
 homes. Severe weather and other emergencies, especially those with long
 power outages, can be life-threatening for these individuals. The HHS
 emPOWER Map and public REST Service give every public health official,
 emergency manager, hospital, first responder, electric company, and
 community member the power to discover the electricity-dependent Medicare
 population in their state/territory, county, and ZIP Code.



Data Source: The REST Service’s data is developed from Medicare Fee-For-Service
  (Part A & B) (>33M 65+, blind, ESRD [dialysis], dual-eligible,
  disabled [adults and children]) and Medicare Advantage (Part C) (>21M
  65+, blind, ESRD [dialysis], dual-eligible, disabled [adults and
  children]) beneficiary administrative claims data. This data does not
  include individuals that are only enrolled in a State Medicaid Program.
  Note that Medicare DME are subject to insurance claim reimbursement caps
  (e.g. rental caps) that differ by type, so the DME may have different
  “look-back” periods (e.g. ventilators are 13 months and oxygen
  concentrators are 36 months).



ZIP Code Aggregation: Some ZIP Codes do not have specific geospatial boundary data (e.g.,
  P.O. Box ZIP Codes). To capture the complete population data, the HHS
  emPOWER Program identified the larger boundary ZIP Code (Parent) within
  which the non-boundary ZIP Code (Child) resides. The totals are added
  together and displayed under the parent ZIP Code.




Approved Data Uses: The public HHS emPOWER REST Service is approved for use by all partners
  and is intended to be used to help inform and support emergency
  preparedness, response, recovery, and mitigation activities in all
  communities.






Privacy Protections: Protecting the privacy of Medicare beneficiaries is an essential
  priority for the HHS emPOWER Program. Therefore, all personally
  identifiable information are removed from the data and numerous
  de-identification methods are applied to significantly minimize, if not
  completely mitigate, any potential for deduction of small cells or
  re-identification risk. For example, any cell size found between the
  range of 1 and 10 is masked and shown as 11.