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Data Sources & Definitions

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MAIN MAPS: POPULATION DATA

No Main Maps Selected - This option does not display any main maps, which is necessary in order to display Basemaps (Topographic, Street, Satellite, Terrain, and Canvas) and may also help to more clearly view overlaid data in other tools such as Population Indicators or some Optional Layers.

Population Data, Poverty Level

% Poverty (Pop below 100% FPL), 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the percentage of the total population that lives below 100% of the Federal Poverty Level (FPL) in the given ZCTA.

% Low-Income (Pop below 200% FPL), 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the percentage of the total population that lives below 200% of the Federal Poverty Level (FPL) (otherwise known as the 'low-income' population) in the given ZCTA.

Population Data, Race and Ethnicity

% Non-White, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the percentage of the total population self-identified as Non-White in the given ZCTA. This indicator has changed from previous years. This year we have added demographic information for the US Territories. Due to the way the Census Bureau reports data for these areas we have changed the way we are counting “Non-White” for all of the states and territories. Previously the “Non-White” category did not include Hispanic people who were white. Because race and ethnicity are not reported separately for the territories, all Hispanic people regardless of race are now included in the “Non-White” category.

% Hispanic, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the percentage of the total population self-identified as Hispanic in the given ZCTA.

% Black, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the percentage of the total population self-identified as Black in the given ZCTA.

% Asian, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the percentage of the total population self-identified as Asian in the given ZCTA.

% American Indian/Alaska Native, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the percentage of the total population self-identified as American Indian/Alaska Native in the given ZCTA.

Population Data, Insurance Status

% Population Uninsured, 2015 - Data from American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level; imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc. This map displays the percentage of the total population that has no health insurance.

% Population with Medicaid and Other Needs-Based Public Insurance, 2015 - Data from American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level; imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc. This map displays the percentage of the total population that has health insurance coverage under Medicaid or other needs-based public insurance such as CHIP.

% Population with Medicare or Private Insurance, 2015 - Data from American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level; imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc. This map displays the percentage of the total population that has health insurance coverage under Medicare or private health insurance.

Population Data, Uninsurance by Income Level

% Uninsured Population Below 138% FPL, 2011-2015 - Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area level; prepared by HealthLandscape. This map displays the percentage of the total documented uninsured population that lives below 138% of the Federal Poverty Level (FPL) in the given ZCTA.

% Uninsured Population Below 200% FPL, 2011-2015 - Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area level; prepared by HealthLandscape. This map displays the percentage of the total documented uninsured population that lives below 200% of the Federal Poverty Level (FPL) in the given ZCTA.

% Uninsured Population at 138%-400%, 2011-2015 - Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area level; prepared by HealthLandscape. This map displays the percentage of the total documented uninsured population that lives at or above 138% but no higher than 400% of the Federal Poverty Level (FPL) in the given ZCTA.

Population Data, Age

% Under 18, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) This map displays the percentage of the total population below age 18 in the given ZCTA.

% 18-64, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) This map displays the percentage of the total population aged 18 years old through 64 years old in the given ZCTA.

% 65 and older, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) This map displays the percentage of the total population aged 65 or greater in the given ZCTA.

Population Data, Social Environment

% of Population Not Employed, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by HealthLandscape.) This map displays the nonemployment rate (% of resident population aged 16 and over not employed, regardless of whether or not they are seeking work) for the given ZCTA.

% of Households With Limited English Proficiency, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the percentage of the total population with household linguistic isolation (% of resident households where no household member speaks only English and no household member who speaks another language, speaks English “very well”) for the given ZCTA.

% of Population With Less Than High School Education, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the percentage of the total population with limited educational attainment (% of residents aged 25 and older who have not completed high school) for the given ZCTA.


MAIN MAPS: UDS DATA

UDS Data, Penetration

Penetration of Low-Income Population - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the percent of the low-income residents (below 200% of the Federal Poverty Level) in the given ZCTA served by a health center (from health centers reporting 11 or more patients residing in that ZCTA). In other words, for each ZCTA the total number of health center patients from 2015 is divided by the number of low-income residents. Lighter shaded ZCTAs therefore are estimated to have a larger share of low-income residents who do not utilize services provided by health centers, but may be served by other types of providers. Because income is not reported in the UDS at the ZIP Code level, this measure is only an estimate and should be interpreted as such.

Penetration of Total Population - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the percent of the total residents in the given ZCTA served by a health center (from health centers reporting 11 or more patients residing in that ZCTA). In other words, for each ZCTA the total number of health center patients from 2015 is divided by the total number of residents. Lighter shaded ZCTAs therefore are believed to have a larger share of residents who do not utilize services provided by health centers, but may be served by other types of providers.

Penetration of Uninsured Population - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) This map displays the percent of the uninsured residents of the given ZCTA served by a health center (from health centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

Penetration of Population with Medicaid and Other Needs-Based Public Insurance - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) This map displays the percent of the residents of the given ZCTA covered by Medicaid or other needs-based public insurance such as CHIP served by a health center (from health centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

Penetration of Population with Medicare or Private Insurance - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) This map displays the percent of the residents of the given ZCTA covered by Medicare or other private insurance served by a health center (from health centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

UDS Data, Percent Change

2013-2015 (2-Year) % Change in Health Center Patients - (Data from UDS reporting years 2013 and 2015; prepared by John Snow, Inc.) This map displays the percent change in the current reporting year's (2015) reported Health Center patients from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2014-2015 (1-year) % Change in Health Center Patients - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) This map displays the percent change in the current reporting year's (2015) reported Health Center patients from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2013-2015 (2-Year)% Change in Uninsured Patients - (Data from UDS reporting year 2013 and 2015; prepared by John Snow, Inc.) This map displays the percent change in the current reporting year's (2015) reported Health Center uninsured patients from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2014-2015 (1-year) % Change in Uninsured Patients - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) This map displays the percent change in the current reporting year's (2015) reported Health Center uninsured patients from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2013-2015 (2-Year)% Change in Patients with Medicaid and Other Needs-Based Public Insurance - (Data from UDS reporting year 2013 and 2015; prepared by John Snow, Inc.) This map displays the percent change in the current reporting year's (2015) reported Health Center patients with Medicaid and Other Needs-Based Public Insurance such as CHIP from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2014-2015 (1-year) % Change in Patients with Medicaid and Other Needs-Based Public Insurance - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) This map displays the percent change in the current reporting year's (2015) reported Health Center patients with Medicaid and Other Needs-Based Public Insurance such as CHIP from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2013-2015 (2-Year)% Change in Patients with Medicare or Private Insurance - (Data from UDS reporting year 2013 and 2015; prepared by John Snow, Inc.) This map displays the percent change in the current reporting year's (2015) reported Health Center patients with Medicare or Private Insurance from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2014-2015 (1-year) % Change in Patients with Medicare or Private Insurance - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) This map displays the percent change in the current reporting year's (2015) reported Health Center patients with Medicare or Private Insurance from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

UDS Data, Health Center Characteristics

Health Center Count, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) This map displays the number of health centers (not the number of sites) serving 11 or more patients in the given ZIP Code Tabulation Area (ZCTA).

Health Center Dominance, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) This map colors a ZIP Code Tabulation Area (ZCTA) if it has 11 or more patients served by at least one Health Center. The color is determined by the health center of the type chosen in the tool (each is assigned its own color) that reported the highest number of patients (Share of Patients) residing in that ZCTA.

UDS Data, Not Served by Health Centers

Low-Income Not Served by Health Centers - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the estimated number of low-income residents in the given ZCTA who are not served by any health centers. The number is calculated by subtracting the number of total health center patients reported in the UDS for that ZCTA (from all health centers reporting 11 or more patients residing in that ZCTA) from the number of low-income (below 200% FPL) residents in that same ZCTA. Because income is not reported in the UDS at the ZIP Code level, this measure is only an estimate and should be interpreted as such.

Uninsured Not Served by Health Centers - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) This map displays the estimated number of uninsured residents of the given ZCTA who are not served by any health centers for the health center type chosen in the tool.

Medicaid and Other Needs-Based Public Insurance Not Served by Health Centers - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) This map displays the estimated number of residents of the given ZCTA who are covered by Medicaid and Other Needs-Based Public Insurance such as CHIP who are not served by any health centers for the health center type chosen in the tool.

Medicare or Private Insurance Not Served by Health Centers - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) This map displays the estimated number of low-income residents of the given ZCTA who are covered by Medicare or Private Insurance who are not served by any health centers for the health center type chosen in the tool.

UDS Data, Patient Mix

Percent of Patients Uninsured, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) This map displays the percent of health center patients who are uninsured for the health center type chosen in the tool.

Percent of Patients with Medicaid and Other Needs-Based Public Insurance, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) This map displays the percent of health center patients who are covered by Medicaid and Other Needs-Based Public Insurance such as CHIP for the health center type chosen in the tool.

Percent of Patients with Medicare or Private Insurance, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) This map displays the percent of health center patients who are covered by Medicare or Private Insurance for the health center type chosen in the tool.

UDS Data, Not served by Health Centers, Dot Density

Low-Income Not Served by Health Centers (Dot Density) - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) This map displays the estimated number of low-income residents in the given ZCTA who are not served by any health centers (1 dot = 100 people randomly placed in the ZCTA). The number is calculated by subtracting the number of total health center patients reported in the UDS as residing in that ZCTA (from all health centers with 11 or more patients residing in that ZCTA) from the number of low-income (below 200% FPL) residents in that same ZCTA. Because income is not reported in the UDS at the ZIP Code level, this measure is only an estimate and should be interpreted as such.

Uninsured Not Served by Health Centers (Dot Density) - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) This map displays the estimated number of uninsured residents of the given ZCTA who are not served by any health centers (1 dot = 100 people randomly placed in the ZCTA) for the health center type chosen in the tool.

Medicaid and Other Needs-Based Public Insurance Not Served by Health Centers (Dot Density) - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) This map displays the estimated number of residents of the given ZCTA who are covered by Medicaid and Other Needs-Based Public Insurance such as CHIP who are not served by any health centers (1 dot = 100 people randomly placed in the ZCTA) for the health center type chosen in the tool.

Medicare or Private Insurance Not Served by Health Centers (Dot Density) - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) This map displays the estimated number of low-income residents of the given ZCTA who are covered by Medicare or Private Insurance who are not served by any health centers (1 dot = 100 people randomly placed in the ZCTA) for the health center type chosen in the tool.


EXPLORE SERVICE AREA: HEALTH CARE FACILITIES

Health Center Administrative Locations - (Data from HRSA Data Warehouse, updated quarterly) This layer displays the locations of all the diverse public and non-profit organizations and programs that are Health Center Program (HCP) grantees or look-alikes. HCP grantees receive federal funding under Section 330 of the Public Health Service (PHS) Act, as amended by the Health Centers Consolidated Act of 1996 (P.L. 104-299) and the Safety Net Amendments of 2002. They include the administrative location (which may or may not be a service delivery site) of Community Health Centers, Migrant Health Centers, Health Care for the Homeless Health Centers, and Primary Care Public Housing Health Centers, otherwise known as Health Center Program (HCP) grantees. HCP look-alike administrative locations operate health centers that operate and provide services consistent with all statutory, regulatory, and policy requirements that apply to Health Center Program grantees, but do not receive funding under section 330. In the UDS Mapper, HCP grantees are displayed as circles and HCP look-alikes are displayed as triangles.

Health Center Service Access Points - (Data from HRSA Data Warehouse, updated quarterly) This layer displays the locations of service access points/sites of the diverse public and non-profit organizations and programs that are Health Center Program (HCP) grantees or look-alikes. HCP grantees receive federal funding under Section 330 of the Public Health Service (PHS) Act, as amended by the Health Centers Consolidated Act of 1996 (P.L. 104-299) and the Safety Net Amendments of 2002. HCP grantee reported service access points/sites include Community Health Centers, Migrant Health Centers, Health Care for the Homeless Health Centers, and Primary Care Public Housing Health Centers. HCP look-alike service access points are health centers that operate and provide services consistent with all statutory, regulatory, and policy requirements that apply to Health Center Program grantees, but do not receive funding under section 330.

National Health Service Corps (NHSC) Sites - (Data from the HRSA Data Warehouse, updated quarterly) This layer displays National Health Service Corps (NHSC) sites as per the number of NHSC-obligated primary care providers FTEs at each site or locations of sites where there are NHCS non-primary care providers regardless of number of FTEs. For more information see Site Information from the NHSC.

Rural Health Clinics - (Data from the HRSA Data Warehouse, updated quarterly, via the Centers for Medicaid and Medicare Services' (CMS) Provider of Service (POS) file; HRSA inputs only active RHCs into their Data Warehouse) This layer displays the location of all active Rural Health Clinics, as defined by Title XVIII, Section 1861(aa) of the Social Security Act, regardless of whether they receive facility or point HPSA designation.

Facility and Point HPSAs - (Data from the HRSA Data Warehouse, updated quarterly) This layer displays the locations of six additional types of federally-linked provider delivery sites which have HPSA designation (HCP look-alikes, Rural Health Clinics, Alaskan Native Tribal Population Facilities, Indian Health Service Facilities, Native American Tribal Population Facilities and Comprehensive Health Centers).

Hospitals - (Data from the HRSA Data Warehouse, updated quarterly) This layer displays the location of all U.S. hospitals by type (Short-term, Critical Access, and other).

VHA Facilities - (Data from the HRSA Data Warehouse) This layer displays the location of all VHA Facilities by type.


BASEMAPS AND OPTIONAL LAYERS

Basemaps - (ESRI Data and Maps for ArcGIS Server)

World Imagery Basemap - Attributed to the following sources: ESRI, DigitalGlobe, GeoEye, i-cubed, USDA, FSA, USGS, AEX, Getmapping, Aerogrid, IGN, IGP, swisstopo, and the GIS User Community.

World Street Basemap - Attributed to the following sources: ESRI, Delorme, HERE, USGS, Intermap, iPC, NRCAN, ESRI Japan, METI, ESRI China (Hong Kong), ESRI (Thailand), MapmyIndia, TomTom.

World Topo Basemap - Attributed to the following sources: ESRI, Delorme, HERE, TomTom, Intermap, increment P Corp, GEBCO, USGS, FAO, NPS, NRCAN, GeoBase, IGN, Kadaster NL, Ordinance Survey, ESRI Japan, METI, ESRI China (Hong Kong), swisstopo, MapmyIndia, and the GIS User Community.

Light Gray Canvas Basemap - Attributed to the following sources: ESRI, Delorme, HERE, and MapmyIndia.

US Census Geographies - (All layers come from ESRI ArcGIS 10.1 Data and Maps for ArcGIS Server). This includes the following layer options; States, Counties, PUMAs, ZCTAs, ZIP Codes, Census Tracts, Census Block Groups, and County Subdivisions.

Transportation - All layers come from ESRI ArcGIS 10.1 Data and Maps for ArcGIS Server.

Health Policy

Primary Care HPSAs - (Data from the HRSA Data Warehouse, updated quarterly) This layer displays primary medical care Health Professional Shortage Areas (HPSAs), which have been designated as having a shortage of primary medical care and may be urban or rural areas or population groups. For more information, see HRSA Shortage Designations.

Dental Care HPSAs - (Data from the HRSA Data Warehouse, updated quarterly) This layer displays dental care Health Professional Shortage Areas (HPSAs), which have been designated as having a shortage of dental care and may be urban or rural areas or population groups. For more information, see HRSA Shortage Designations.

Mental Health Care HPSAs - (Data from the HRSA Data Warehouse, updated quarterly) This layer displays mental health care Health Professional Shortage Areas (HPSAs), which have been designated as having a shortage of mental health care and may be urban or rural areas or population groups. For more information, see HRSA Shortage Designations.

Medically Underserved Areas/Populations (MUA/Ps) - (Data from the HRSA Data Warehouse, updated quarterly) This layer displays Medically Underserved Areas/Populations (MUA/Ps), which may be a whole county or a group of contiguous counties, a group of county or civil divisions, a group of urban census tracts in which residents have a shortage of personal health services, or Exceptional/Governor designated. Medically Underserved Populations (MUPs) may include groups of persons who face economic, cultural or linguistic barriers to health care. For more information, see HRSA MUA/P Designation.

Primary Care Service Areas (PCSAs) - (Data from the HRSA Data Warehouse, Census Tract basis 2010) This layer displays Primary Care Service Areas (PCSAs), which reflect patient travel to primary care providers.For more information, see HRSA PCSAs.

Hospital Referral Regions (HRRs) - (Data from the Dartmouth Atlas of Health Care) HRRs represent regional health care markets for tertiary medical care that generally requires the services of a major referral center. The regions were defined by determining where patients were referred for major cardiovascular surgical procedures and for neurosurgery. Each hospital service area (HSA) was examined to determine where most of its residents went for these services. The result was the aggregation of the 3,436 hospital service areas into 306 HRRs. Each HRR has at least one city where both major cardiovascular surgical procedures and neurosurgery are performed. For more information, see Dartmouth Atlas.

115th Congress - (Data from the U.S. Census Bureau's TIGER/Line Geographic Boundary Files) This layer displays the 435 Congressional Districts from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the States based on census population counts, each State is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a State as practicable. The 115th Congress is seated from January 2017 to 2019. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP). For more information, see 115th Congress TIGER/Line Shapefile.


POPULATION INDICATORS

% of Population in Poverty (below 100% FPL) - (Data from American Community Survey (ACS) 2010-2014 five-year estimates for at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) This indicator map colors a ZCTA if its poverty rate (% of resident population below 100% of the Federal Poverty Level (FPL)) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain poverty rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a poverty rate of 15% or higher are filled.

% of Population Low-Income (below 200% FPL) - (Data from American Community Survey (ACS) 2010-2014 five-year estimates for at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) This indicator map colors a ZCTA if its low-income rate (% of resident population below 200% of the Federal Poverty Level (FPL)) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain low-income rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a low-income rate of 15% or higher are filled.

% of Population Not Employed - (Data from American Community Survey (ACS) 2010-2014 five-year estimates for at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) This indicator map colors a ZCTA if its nonemployment rate (% of resident population aged 16-64 not employed, regardless of whether or not they are seeking work) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain nonemployment rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a nonemployment rate of 15% or higher are filled.

% of Households With Limited English Proficiency - (Data from American Community Survey (ACS) 2010-2014 five-year estimates for at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) This indicator map colors a ZCTA if its household linguistic isolation rate (% of resident households where no household member aged 14+ speaks only English and no household member aged 14+ who speaks another language, speaks English "very well") is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain household linguistic isolation rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a household linguistic isolation rate of 15% or higher are filled.

% of Population With Less Than High School Education - (Data from American Community Survey (ACS) 2010-2014 five-year estimates for at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) This indicator map colors a ZCTA if its limited educational attainment rate (% of residents aged 25 and older who have not completed high school) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain limited educational attainment rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a limited educational attainment rate of 15% or higher are filled.

% of Population Uninsured - (Data from American Community Survey (ACS) 2010-2014 five-year estimates at the ZIP Code Tabulation Area(ZCTA) level; prepared by the Robert Graham Center) This indicator map colors a ZCTA if its uninsured rate (% of resident population reported not having health insurance) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain uninsured rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with an uninsured rate of 15% or higher are filled.

Low Birth Weight Rate - (Data from HRSA Area Resource File (ARF) 2012-2014 (2015-2016 data release) at the County level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its low birth weight rate (liveborn infants weighing <2500 grams or <5.5 pounds per 100 total live births) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain low birth weight rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a low birth weight rate of 15% or higher are filled.

Age-Adjusted Mortality Rate (per 100,000) - (Data from CDC Vital Statistics 2012-2014 at the County level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its age-adjusted mortality rate (age-adjusted rate of deaths per 100,000 standard population) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain age-adjusted mortality rate. For example, when the slider bar is set at 15 out of 100,000 only ZCTAs with an age-adjusted mortality rate of 15 per 100,000 or higher are filled.

% of Adults Ever Told Have Diabetes - (Data from Behavioral Risk Factor Surveillance System (BRFSS) 2009-2012 at the county or state (when the county has less than 50 observations) level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its diabetes rate (% of adults 18+ that report having ever been told by a doctor that they have diabetes) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain diabetes rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a diabetes rate of 15% or higher are filled.

% of Adults Who Are Obese - (Data from CDC Behavioral Risk Factor Surveillance System (BRFSS) 2009-2012 at the county or state (when the county has less than 50 observations) level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its rate of adults classified as obese (% of adults 18+ who reported a body mass index (BMI) of 30 or greater) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain rate of adult obesity. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a rate of adult obesity of 15% or higher are filled.

% of Adults Ever Told Have High Blood Pressure - (Data from CDC Behavioral Risk Factor Surveillance System (BRFSS) 2007, 2009, and 2011 at the county or state (when the county has less than 50 observations) level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its rate of adults with hypertension awareness (% of adults 18+ that report having ever been told by a doctor that they have high blood pressure) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain rate of adults with hypertension awareness. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a rate of adult hypertension awareness of 15% or higher are filled.

% of Adults with No Dental Visit in the Past Year - (Data from Behavioral Risk Factor Surveillance System (BRFSS) 2008, 2010, and 2012 at the county or state (when the county has less than 50 observations) level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its adult dental visit rate (% of adults 18+ who reported having not visited a dentist or dental clinic in the past year) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain adult dental visit rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with an adult dental visit rate of 15% or higher are filled.

% of Adults Who Have Delayed or Not Sought Care Due to High Cost - (Data from Behavioral Risk Factor Surveillance System (BRFSS) 2009-2012 at the county or state (when the county has less than 50 observations) level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its rate of adults who have delayed/not sought care due to high cost (% of adults 18+ who reported needing to see a doctor but could not because of cost at a time in the past year) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain rate of delayed care due to high cost. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a rate of delayed care due to high cost of 15% or higher are filled.

% of Adults with No Usual Source of Care - (Behavioral Risk Factor Surveillance System (BRFSS) 2009-2012 at the County level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its rate of adults without a usual source of care (% of adults 18+ who reported not having a personal doctor or health care provider) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain rate of adults without a usual source of care. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a rate of adults without a usual source of care of 15% or higher are colored.


EXPLORE SERVICE AREA: DATA TABLE FIELDS

Standard UDS Mapper Report

ZCTA - Field provides the ZCTA ID/code.

Post Office (n/a)

State (n/a)

# of Health Center Count, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Displays the number of health centers (not the number of sites) serving 11 or more patients in the given ZIP Code Tabulation Area (ZCTA).

Dominant Health Center, 2015 - (Data from UDS reporting year 2015 prepared by John Snow, Inc.) Field provides, for each ZIP Code Tabulation Area (ZCTA), the name of the health center with the greatest number of reported patients (from health centers serving at least 11 patients in the specified ZCTA). This is the health center with the highest number of patients (Share of Patients) from that ZCTA.

Total Population, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the total population of the given ZCTA.

Low-Income Pop., 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the total number of people that live below 200% of the Federal Poverty Level (FPL) in the given ZCTA.

Total # of Health Center Patients, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Field provides the number of reported health center patients (from all health centers reporting 11 or more patients in the given ZIP Code Tabulation Area (ZCTA).

Penetration of Low-Income Population - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percent of low-income population (below 200% of the Federal Poverty Level) served by a health center (health centers reporting 11 or more patients in that ZCTA) in the given ZCTA. In other words, for each ZCTA the total number of health center patients from 2015 is divided by the number of low-income residents. ZCTAs with lower percentages therefore are estimated to have a larger share of low-income residents that do not utilize services provided by health centers, but may be served by other types of providers. Because income is not reported in the UDS at the ZIP Code level, this measure is only an estimate and should be interpreted as such.

Penetration of Total Population - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; prepared by John Snow, Inc.) Field provides percent of the total residents served by a health center (from health centers reporting 11 or more patients in that ZCTA) in the given ZCTA. In other words, for each ZCTA the total number of patients is divided by the number of total residents. ZCTAs with lower percentages therefore are believed to have a larger share of residents that do not utilize services provided by health centers, but may be served by other types of providers.

Additional Health Center Related Data

Dominant Health Center, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Field provides, for each ZIP Code Tabulation Area (ZCTA), the name of the health center with the greatest number of reported patients (from health centers serving at least 11 patients in the specified ZCTA). This is the health center with the highest number of patients (Share of Patients) from that ZCTA.

Penetration of Uninsured Population - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Field provides the percent of the uninsured residents of the given ZCTA served by a health center (from health centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

Penetration of Population with Medicaid and Other Needs-Based Public Insurance - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Field provides the percent of the residents of the given ZCTA covered by Medicaid or other needs-based public insurance such as CHIP served by a health center (from health centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

Penetration of Population with Medicare or Private Insurance - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Field provides the percent of the residents of the given ZCTA covered by Medicare or other private insurance served by a health center (from health centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2013-2015 (2-Year) % Change in Health Center Patients - (Data from UDS reporting years 2013 and 2015; prepared by John Snow, Inc.) Field provides the percent change in the current reporting year's (2015) reported Health Center patients from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2013-2015 (2-Year) Change in Health Center Patients (#) - (Data from UDS reporting years 2013 and 2015; prepared by John Snow, Inc.) Field provides the change in the current reporting year's (2015) reported Health Center patients from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2014-2015 (1-year)% Change in Health Center Patients - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) TField provides the percent change in the current reporting year's (2015) reported Health Center patients from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2013-2015 (2-year)% Change in Uninsured Patients - (Data from UDS reporting year 2013 and 2015; prepared by John Snow, Inc.) Field provides the percent change in the current reporting year's (2015) reported Health Center uninsured patients from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2013-2015 (2-year)% Change in Patients with Medicaid and Other Needs-Based Public Insurance - (Data from UDS reporting year 2013 and 2015; prepared by John Snow, Inc.) Field provides the percent change in the current reporting year's (2015) reported Health Center patients with Medicaid and Other Needs-Based Public Insurance such as CHIP from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2013-2015 (2-year)% Change in Patients with Medicare or Private Insurance - (Data from UDS reporting year 2013 and 2015; prepared by John Snow, Inc.) Field provides the percent change in the current reporting year's (2015) reported Health Center patients with Medicare or Private Insurance from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2014-2015 (1-year)% Change in Uninsured Patients - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) Field provides the percent change in the current reporting year's (2015) reported Health Center uninsured patients from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2014-2015 (1-year)% Change in Patients with Medicaid and Other Needs-Based Public Insurance - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) Field provides the percent change in the current reporting year's (2015) reported Health Center patients with Medicaid and Other Needs-Based Public Insurance such as CHIP from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

2014-2015 (1-year)% Change in Patients with Medicare or Private Insurance - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) Field provides the percent change in the current reporting year's (2015) reported Health Center patients with Medicare or Private Insurance from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

Low-Income Not Served by Health Centers - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the estimated number of low-income residents in the given ZCTA that are not served by any health centers grantees. The number is calculated by subtracting the number of total health center patients reported in the UDS for that ZCTA (from all health centers with 11 or more patients residing in that ZCTA) from the number of low-income (below 200% FPL) residents in that same ZCTA. Because income is not reported in the UDS at the ZIP Code level, this measure is only an estimate and should be interpreted as such.

Uninsured Not Served by Health Centers - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Field provides the estimated number of uninsured residents of the given ZCTA who are not served by any health centers (1 dot = 100 people randomly placed in the ZCTA) for the health center type chosen in the tool.

Medicaid and Other Needs-Based Public Insurance Not Served by Health Centers - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Field provides the estimated number of residents of the given ZCTA who are covered by Medicaid and Other Needs-Based Public Insurance such as CHIP who are not served by any health centers (1 dot = 100 people randomly placed in the ZCTA) for the health center type chosen in the tool.

Medicare or Private Insurance Not Served by Health Centers - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Field provides the estimated number of low-income residents of the given ZCTA who are covered by Medicare or Private Insurance who are not served by any health centers (1 dot = 100 people randomly placed in the ZCTA) for the health center type chosen in the tool.

Percent of Patients Uninsured - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Field provides the percent of health center patients who are uninsured for the health center type chosen in the tool.

Percent of Patients with Medicaid and Other Needs-Based Public Insurance - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Field provides the percent of health center patients who are covered by Medicaid and Other Needs-Based Public Insurance such as CHIP for the health center type chosen in the tool.

Percent of Patients with Medicare or Private Insurance - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Field provides the percent of health center patients who are covered by Medicare or Private Insurance for the health center type chosen in the tool.

Additional Population Data and Indicators

% Pop. in Poverty, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that lives below 100% of the Federal Poverty Level (FPL) in the given ZCTA.

% Low-Income Pop., 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that lives below 200% of the Federal Poverty Level (FPL) in the given ZCTA.

% Non-White, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that self-identifies as Non-White in the given ZCTA.

% Hispanic, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that self-identifies as Hispanic in the given ZCTA.

% Black, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that self-identifies as Black in the given ZCTA.

% Asian, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that self-identifies as Asian in the given ZCTA.

% American Indian/Alaska Native, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that self-identifies as American Indian/Alaska Native in the given ZCTA.

% of Population Uninsured, est. 2015 - (Data from American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level; imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc.) Field provides the percentage of the total population that has no health insurance.

% of Population Medicaid and Other Needs-Based Public Insurance, est. 2015 - (Data from American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level; imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc.) Field provides the percentage of the total population that has health insurance coverage under Medicaid or other needs-based public insurance such as CHIP.

% of Population with Medicare or Private Insurance, est. 2015 - (Data from American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level; imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc.) Field provides the percentage of the total population that has health insurance coverage under Medicare or private health insurance.

% Under 18, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) Field provides the percentage of the total population below age 18 in the given ZCTA.

% 18-65, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) Field provides the percentage of the total population aged 18 years old through 64 years old in the given ZCTA.

% 65 years and older, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) Field provides the percentage of the total population aged 65 or greater in the given ZCTA.

% of Population Not Employed, 2011-2015 (Main Map) - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by HealthLandscape) Field provides nonemployment rate (% of resident population age 16-64 and older not employed, regardless of whether or not they are seeking work) for the given ZCTA.

% of Households With Limited English Proficiency, 2011-2015 (Main Map) - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides household linguistic isolation rate (% of resident households where no household member speaks only English and no household member who speaks another language, speaks English “very well”) for the given ZCTA.

% of Population With Less Than High School Education, 2011-2015 (Main Map) - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides limited educational attainment rate (% of residents aged 25 and older who have not completed high school) for the given ZCTA.

% of Population Not Employed, 2010-2014 (Pop Indicators) - (Data from American Community Survey (ACS) 2010-2014 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) Field provides nonemployment rate (% of resident population age 16-64 not employed, regardless of whether or not they are seeking work) for the given ZCTA.

% of Households With Limited English Proficiency, 2010-2014 (Pop Indicators) - (Data from American Community Survey (ACS) 2010-2014 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) Field provides household linguistic isolation rate (% of resident households where no household member speaks only English and no household member who speaks another language, speaks English “very well”) for the given ZCTA.

% of Population With Less Than High School Education, 2010-2014 (Pop Indicators) - (Data from American Community Survey (ACS) 2010-2014 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) Field provides limited educational attainment rate (% of residents aged 25 and older who have not completed high school) for the given ZCTA.

% of Population Uninsured - (Data from American Community Survey (ACS) 2010-2014 five-year estimates at the ZIP Code Tabulation Area level; prepared by the Robert Graham Center) Field provides uninsured rate (% of resident population reported not having health insurance) for the given ZCTA.

Low Birth Weight Rate - (Data from HRSA Area Resource File (ARF) 2012-2014 (2015-2016 data release) at the County level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its low birth weight rate (liveborn infants weighing <2500 grams or <5.5 pounds per 100 total live births) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain low birth weight rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a low birth weight rate of 15% or higher are filled.

Age-Adjusted Mortality Rate (per 100,000) - (Data from CDC Vital Statistics 2012-2014 at the County level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its age-adjusted mortality rate (age-adjusted rate of deaths per 100,000 standard population) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain age-adjusted mortality rate. For example, when the slider bar is set at 15 out of 100,000 only ZCTAs with an age-adjusted mortality rate of 15 per 100,000 or higher are filled.

% of Adults Ever Told Have Diabetes - (Data from Behavioral Risk Factor Surveillance System (BRFSS) 2009-2012 at the county or state (when the county has less than 50 observations) level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its diabetes rate (% of adults 18+ that report having ever been told by a doctor that they have diabetes) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain diabetes rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a diabetes rate of 15% or higher are filled.

% of Adults Who Are Obese - (Data from CDC Behavioral Risk Factor Surveillance System (BRFSS) 2009-2012 at the county or state (when the county has less than 50 observations) level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its rate of adults classified as obese (% of adults 18+ who reported a body mass index (BMI) of 30 or greater) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain rate of adult obesity. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a rate of adult obesity of 15% or higher are filled.

% of Adults Ever Told Have High Blood Pressure - (Data from CDC Behavioral Risk Factor Surveillance System (BRFSS) 2007, 2009, and 2011 at the county or state (when the county has less than 50 observations) level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its rate of adults with hypertension awareness (% of adults 18+ that report having ever been told by a doctor that they have high blood pressure) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain rate of adults with hypertension awareness. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a rate of adult hypertension awareness of 15% or higher are filled.

% of Adults with No Dental Visit in the Past Year - (Data from Behavioral Risk Factor Surveillance System (BRFSS) 2008, 2010, and 2012 at the county or state (when the county has less than 50 observations) level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its adult dental visit rate (% of adults 18+ who reported having not visited a dentist or dental clinic in the past year) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain adult dental visit rate. For example, when the slider bar is set at 15 out of 100, only ZCTAs with an adult dental visit rate of 15% or higher are filled.

% of Adults Who Have Delayed or Not Sought Care Due to High Cost - (Data from Behavioral Risk Factor Surveillance System (BRFSS) 2009-2012 at the county or state (when the county has less than 50 observations) level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its rate of adults who have delayed/not sought care due to high cost (% of adults 18+ who reported needing to see a doctor but could not because of cost at a time in the past year) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain rate of delayed care due to high cost. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a rate of delayed care due to high cost of 15% or higher are filled.

% of Adults with No Usual Source of Care - (Behavioral Risk Factor Surveillance System (BRFSS) 2009-2012 at the County level combined with U.S. Census Bureau 2010 population data at the Block level; prepared by the Robert Graham Center for the ZCTA level) This indicator map colors a ZCTA if its rate of adults without a usual source of care (% of adults 18+ who reported not having a personal doctor or health care provider) is at or above the threshold set by the corresponding slider bar. Adjusting the slider bar enables visualization of only areas that are above a certain rate of adults without a usual source of care. For example, when the slider bar is set at 15 out of 100, only ZCTAs with a rate of adults without a usual source of care of 15% or higher are colored.

Uninsurance by Income Level

% Uninsured Population Below 138% FPL, 2011-2015 - Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area level; prepared by HealthLandscape. Field provides the percentage of the total documented uninsured population that lives below 138% of the Federal Poverty Level (FPL) in the given ZCTA.

% Uninsured Population Below 200% FPL, 2011-2015 - Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area level; prepared by HealthLandscape. Field provides the percentage of the total documented uninsured population that lives below 200% of the Federal Poverty Level (FPL) in the given ZCTA.

% Uninsured Population at 138%-400% FPL, 2011-2015 - Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area level; prepared by HealthLandscape. Field provides the percentage of the total documented uninsured population that lives at or above 138% but no higher than 400% of the Federal Poverty Level (FPL) in the given ZCTA.


EXPLORE SERVICE AREA: VIEW ANALYSIS RESULTS

Total # of Health Center Patients, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Field provides the total number of residents in the user-selected analysis area counted as a patient of any Health Center in 2015. Same as "Current (2015) Health Center Patients".

Total Population, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the total (Census) population for the user-selected analysis area. Same as "Analysis Area Total Population".

Health Center Penetration of Total Pop. - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; prepared by John Snow, Inc.) Field provides percent of the total residents of the user-selected analysis area who are served by a health center. In other words, for each user-selected analysis area the total number of patients is divided by the number of total residents. Areas with lower percentages therefore are believed to have a larger share of residents that do not utilize services provided by health centers, but may be served by other types of providers. Same as "Current Health Center Penetration Rate - Total Pop.".

Total Pop. Not Served by Health Centers - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the count of all residents in the user-selected analysis area that are not served by any health centers grantees. The number is calculated by subtracting the total number of health center patients in the user-selected analysis area from the total number of residents in that same area. Same as "Current Total Pop. Unserved by Health Centers".

Low-Income Pop. 11-15 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; aggregated by UDS Mapper) Field provides the total (Census) population below 200% of the Federal Poverty Level (FPL) in the user-selected analysis area. Same as "Analysis Area Low-Income Pop.".

Health Center Penetration Rate of Low-Income Pop. - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; aggregated by UDS Mapper) Field provides the percent of low-income population (below 200% of the Federal Poverty Level) served by a health center in the user-selected analysis area. In other words, the user-selected analysis area the total number of health center patients from 2015 is divided by the number of low-income residents. ZCTAs with lower percentages therefore are estimated to have a larger share of low-income residents that do not utilize services provided by health centers, but may be served by other types of providers. Low-income penetration and need assumes all current patients to be low-income; watch for Health Centers currently serving large population greater than or equal to 200% of poverty. Same as "Current Health Center Penetration - Low Income Pop.".

Low-Income Not Served by Health Centers - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; aggregated by UDS Mapper) Field provides the estimated count of low-income residents in the user-selected analysis area that are not served by any health center. The number is calculated by subtracting the number of total health center patients reported in the UDS for that user-selected analysis area from the number of low-income (below 200% FPL) residents in that same area. Low-income penetration and need assumes all current patients to be low-income; watch for Health Centers currently serving large population greater than or equal to 200% of poverty. Same as "Low-Income Not Served by Health Centers".

Analysis Area Total Population - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; aggregated by UDS Mapper) Field provides the total (Census) population for the user-selected analysis area. Same as "Total Population, 2011-2015".

Current (2015) Health Center Patients - (Data from UDS reporting year 2015; prepared by John Snow, Inc.; aggregated by UDS Mapper) Field provides the total number of residents of the user-selected analysis area counted as a patient of any Health Center in 2015. Same as "Total # Health Center Patients, 2015".

Current Health Center Penetration Rate - Total Pop. - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; prepared by John Snow, Inc.; aggregated by UDS Mapper) Field provides percent of the total residents of the user-selected analysis area who are served by a health center. In other words, the user-selected analysis area the total number of patients is divided by the number of total residents. ZCTAs with lower percentages therefore are believed to have a larger share of residents that do not utilize services provided by health centers, but may be served by other types of providers. Same as "Health Center Penetration of Total Pop.".

Current Total Pop. Unserved by Health Centers - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; aggregated by UDS Mapper) Field provides the count of all residents in the user-selected analysis area that are not served by any health centers grantees. The number is calculated by subtracting the number of total health center patients reported in the UDS for the user-selected analysis area from the number residents in that same area. Same as "Total Pop. Not Served by Health Centers".

Total New Patients to be Served - This number is inputted by the user. It should represent the total number of patients that will be/ are currently served by the site or sites under analysis who are not currently health center patients. This can be for future health center sites or for existing providers in the area who are not health centers. Remember all health center patients from the user-selected analysis area are already counted in this table, therefore the user must estimate how many of the total patients for the site under analysis were counted as health center patients in 2015 and subtract that from the total patients to be seen at the site under analysis to avoid duplicate count of patients.

% Health Center Unserved Total Pop. Targeted - This number is calculated by the UDS Mapper. This is the percent of residents for the user-selected analysis area who are not currently using a Health Center that will be patients of the new health center site or patients of existing non-health center providers, whatever the user inputted number represents. This is calculated as: Total New Patients to be Served / Current Total Pop. Unserved by Health Centers.

Analysis Area Low-Income Pop. - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; aggregated by UDS Mapper) Field provides the total (Census) population below 200% of the Federal Poverty Level (FPL) in the user-selected analysis area. Same as "Low-Income Pop. 11-15".

Current Health Center Penetration Rate - Low-Income Pop. - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; aggregated by UDS Mapper) Field provides the percent of low-income population (below 200% of the Federal Poverty Level) served by a health center in the user-selected analysis area. In other words, the user-selected analysis area the total number of health center patients from 2015 is divided by the number of low-income residents. ZCTAs with lower percentages therefore are estimated to have a larger share of low-income residents that do not utilize services provided by health centers, but may be served by other types of providers. Low-income penetration and need assumes all current patients to be low-income; watch for Health Centers currently serving large population greater than or equal to 200% of poverty. Same as "Health Center Penetration of Low-Income".

Current Low-Income Pop. Unserved by Health Centers - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; aggregated by UDS Mapper) Field provides the estimated count of low-income residents in the user-selected analysis area that are not served by any health center. The number is calculated by subtracting the number of total health center patients reported in the UDS for that user-selected analysis area from the number of low-income (below 200% FPL) residents in that same area. Low-income penetration and need assumes all current patients to be low-income; watch for Health Centers currently serving large population greater than or equal to 200% of poverty. Same as "Low-Income Not Served by Health Centers".

Proposed Target Pop. Low-Income % - This number is calculated by the UDS Mapper. This is the percent of patients for the new health center site or patients of existing non-health center providers, whatever the user inputted numbers represent who live below 200% of the Federal Poverty Level (FPL). for the user-selected analysis area who are not currently using a Health Center that will be patients of the new health center site or patients of existing non-health center providers, whatever the user inputted number represents. This is calculated as: Low-Income Pop. Target for Proposed Site / Total New Patients to be Served

Analysis Area Low-Income % - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.; aggregated by UDS Mapper) Field provides the percentage of residents that lives below 200% of the Federal Poverty Level (FPL) in the user-selected analysis area.

Total New Low-Income Patients to be Served - This number is inputted by the user. It should represent the total number of patients that will be/ are currently served by the site or sites under analysis who live below 200% of the Federal Poverty Level (FPL). This can be for future health center sites or for existing providers in the area who are not health centers. Remember all health center patients from the user-selected analysis area are already counted in this table.

% Unserved (by Health Centers) Low-Income Pop. Targeted - This number is calculated by the UDS Mapper. This is the percent of low-income (below 200% of the Federal Poverty Level (FPL) residents for the user-selected analysis area who are not currently using a Health Center that will be patients of the new health center site or patients of existing non-health center providers, whatever the user inputted number represent. Low-income penetration and need assumes all current users to be low-income; watch for Health Centers currently serving large population greater than or equal to 200% of poverty. This is calculated as: Total New Low-Income Patients to be Served / Current Low-Income Pop. Unserved by Health Centers.

Min MDs Needed to see Unserved Low-Income @ 1100:1 - This number is calculated by the UDS Mapper. Using a population to physician ratio of 1,100 to 1 this is the estimated number of physicians needed to see the unserved low-income residents of the user-selected analysis area. This is an ideal population to physician ratio; when you perform your own calculations outside of the UDS Mapper, you can use different ratios for your planning efforts. This is calculated as: Current Low-Income Pop. Unserved by Health Centers / 1100.

% Targeted Pop. that are New Patients - This number is calculated by the UDS Mapper. This is the percent of total patients to be served by the site under analysis who are new to the health center program or an estimate of the portion of patients using the site that will be newly served. This is calculated as: Total New Patients to be Served /Total Patients to be served.


EXPLORE SERVICE AREA: ZCTA ROLLOVERS

Total Population, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the total population in the given ZCTA.

Total Low-Income Population, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Provides the total number of people that live below 200% of the Federal Poverty Level (FPL) in the given ZCTA.

Total # of Health Center Patients, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Field provides the number of reported health center patients (from all health centers reporting 11 or more patients in the given ZCTA).

All Health Center Penetration of Total Population - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Provides percent of the total residents served by health centers (from health centers reporting 11 or more patients in that ZCTA) in the given ZCTA. In other words, for each ZCTA the total number of health center patients is divided by the total number of residents. ZCTAs with lower percentages therefore are believed to have a larger share of residents that do not utilize services provided by health centers, but may be served by other types of providers.

All Health Center Penetration of Low Income Population - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Provides the percent of low-income population (below 200% of the Federal Poverty Level) served by a health center (from health centers reporting 11 or more patients in that ZCTA) in the given ZCTA. In other words, for each ZCTA the total number of health center patients from 2015 is divided by the number of low-income residents. ZCTAs with lower percentages therefore are estimated to have a larger share of low-income residents that do not utilize services provided by health centers, but may be served by other types of providers. Because income is not reported in the UDS at the ZIP Code level, this measure is only an estimate and should be interpreted as such.

# of Health Centers Serving ZCTA, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Displays the number of health centers (not the number of sites) serving 11 or more patients in the given ZCTA.

Health Centers with Largest Market Share - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) For the given ZCTA, displays the health centers with the greatest number of patients (from all health centers reporting at least 11 patients in the given ZCTA). Up to five health centers are listed for the given ZCTA. The health centers are listed in order of their Share of Patients from highest to lowest.

Share of Patients - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Displays the percent of total health center patients from the specified ZCTAs that were served by the health center.


MAIN MAPS: ROLLOVERS

ZCTA - Field provides the ZCTA ID/code.

Post Office - Field provides the ZCTA location.

Total Population, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the total population of the given ZCTA.

% Pop. in Poverty, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that lives below 100% of the Federal Poverty Level (FPL) in the given ZCTA.

% Low-Income Pop., 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that lives below 200% of the Federal Poverty Level (FPL) in the given ZCTA.

% Non-White, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that self-identifies as Non-White in the given ZCTA.

% Hispanic, 2010-2014 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that self-identifies as Hispanic in the given ZCTA.

% Black, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that self-identifies as Black in the given ZCTA.

% Asian, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that self-identifies as Asian in the given ZCTA.

% American Indian/Alaska Native, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percentage of the total population that self-identifies as American Indian/Alaska Native in the given ZCTA.

% of Population Uninsured, 2015 est. - (Data from American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level; imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc.) Field provides the percentage of the total population that has no health insurance.

% Population with Medicaid/ Other Pub Ins, 2015 est. - (Data from American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level; imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc.) Field provides the percentage of the total population that has health insurance coverage under Medicaid or other needs-based public insurance such as CHIP.

% Population with Medicare/ Priv Ins, 2015 est. - (Data from American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level; imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc.) Field provides the percentage of the total population that has health insurance coverage under Medicare or private health insurance.

% Uninsured below 138% FPL, 2011-2015 - Data from American Community Survey (ACS) 2011-2015 five-year estimates for ages 0-64 at the ZIP Code Tabulation Area level; prepared by the Robert Graham Center. Field provides the percentage of the total documented uninsured population below age 65 that lives below 138% of the Federal Poverty Level (FPL) in the given ZCTA.

% Uninsured below 200% FPL, 2011-2015 - Data from American Community Survey (ACS) 2011-2015 five-year estimates for ages 0-64 at the ZIP Code Tabulation Area level; prepared by the Robert Graham Center. Field provides the percentage of the total documented uninsured population below age 65 that lives below 200% of the Federal Poverty Level (FPL) in the given ZCTA.

% Uninsured at 138%-400%, 2011-2015 - Data from American Community Survey (ACS) 2011-2015 five-year estimates for ages 0-64 at the ZIP Code Tabulation Area level; prepared by the Robert Graham Center. Field provides the percentage of the total documented uninsured population below age 65 that lives at or above 138% but no higher than 400% of the Federal Poverty Level (FPL) in the given ZCTA.

% Under 18, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) Field provides the percentage of the total population below age 18 in the given ZCTA.

% 18-64, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) Field provides the percentage of the total population aged 18 years old through 64 years old in the given ZCTA.

% 65 and older, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by the Robert Graham Center) Field provides the percentage of the total population aged 65 or greater in the given ZCTA.

% of Population Not Employed, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by HealthLandscape.) Field provides nonemployment rate (% of resident population aged 16-64 not employed, regardless of whether or not they are seeking work) for the given ZCTA.

% of Households With Limited English Proficiency, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides household linguistic isolation rate (% of resident households where no household member speaks only English and no household member who speaks another language, speaks English "very well") for the given ZCTA.

% of Population With Less Than High School Education, 2011-2015 - (Data from American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides limited educational attainment rate (% of residents aged 25 and older who have not completed high school) for the given ZCTA.

Penetration of Low-Income Population - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Field provides the percent of low-income population (below 200% of the Federal Poverty Level) served by a health center (health centers reporting 11 or more patients in that ZCTA) in the given ZCTA. In other words, for each ZCTA the total number of health center patients from 2015 is divided by the number of low-income residents. ZCTAs with lower percentages therefore are estimated to have a larger share of low-income residents that do not utilize services provided by health centers, but may be served by other types of providers. Because income is not reported in the UDS at the ZIP Code level, this measure is only an estimate and should be interpreted as such.

Penetration of Total Population - (Data from UDS reporting year 2015 and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Displays the percent of the total residents in the given ZCTA served by a health center (from health centers reporting 11 or more patients residing in that ZCTA). In other words, for each ZCTA the total number of health center patients from 2014 is divided by the total number of residents. Lighter shaded ZCTAs therefore are believed to have a larger share of residents who do not utilize services provided by health centers, but may be served by other types of providers.

Penetration of Uninsured Population - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Displays the percent of the uninsured residents of the given ZCTA served by a health center (from health centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

Penetration of Population with Medicaid/ Other Pub Ins - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Displays the percent of the residents of the given ZCTA covered by Medicaid or other needs-based public insurance such as CHIP served by a health center (from health centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

Penetration of Population with Medicare/ Priv Ins - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Displays the percent of the residents of the given ZCTA covered by Medicare or other private insurance served by a health center (from health centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

13 - 15 (2-Yr) % Change in Patients - (Data from UDS reporting years 2013 and 2015; prepared by John Snow, Inc.) Displays the percent change in the current reporting year's (2015) reported Health Center patients from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

14 - 15 (1-yr) % Change in Patients - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) Displays the percent change in the current reporting year's (2015) reported Health Center patients from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

13 - 15 (2-Yr) % Change in Uninsured Patients - (Data from UDS reporting year 2013 and 2015; prepared by John Snow, Inc.) Field provides the percent change in the current reporting year's (2015) reported Health Center uninsured patients from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

14 - 15 (1-Yr) % Change in Uninsured Patients - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) Displays the percent change in the current reporting year's (2015) reported Health Center uninsured patients from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

13 - 15 (2-Yr) % Change in Patients with Medicaid/ Other Pub Ins - (Data from UDS reporting year 2013 and 2015 prepared by John Snow, Inc.) Field provides the percent change in the current reporting year's (2015) reported Health Center patients with Medicaid and Other Needs-Based Public Insurance such as CHIP from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

14 - 15 (1-Yr) % Change in Patients with Medicaid/ Other Pub Ins - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) Displays the percent change in the current reporting year's (2015) reported Health Center patients with Medicaid and Other Needs-Based Public Insurance such as CHIP from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

13 - 15 (2-Yr) % Change in Patients with Medicare/ Priv Ins - (Data from UDS reporting year 2013 and 2015; prepared by John Snow, Inc.) Field provides the percent change in the current reporting year's (2015) reported Health Center patients with Medicare or Private Insurance from two years earlier (2013) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

14 - 15 (1-Yr) % Change in Patients with Medicare/ Priv Ins - (Data from UDS reporting year 2014 and 2015; prepared by John Snow, Inc.) Displays the percent change in the current reporting year's (2015) reported Health Center patients with Medicare or Private Insurance from the previous reporting year (2014) (from all Health Centers reporting 11 or more patients residing in that ZCTA) for the health center type chosen in the tool.

Health Center Count, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Displays the number of health centers (not the number of sites) serving 11 or more patients in the given ZIP Code Tabulation Area (ZCTA).

Health Center Dominance, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Field provides, for each ZIP Code Tabulation Area (ZCTA), the name of the health center with the greatest number of reported patients (from health centers serving at least 11 patients in the specified ZCTA). This is the health center with the highest number of patients (Share of Patients) from that ZCTA.

Low-Income Not Served by Health Centers - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2011-2015 five-year estimates at the ZIP Code Tabulation Area (ZCTA) level; prepared by John Snow, Inc.) Displays the estimated number of low-income residents in the given ZCTA who are not served by any health centers. The number is calculated by subtracting the number of total health center patients reported in the UDS for that ZCTA (from all health centers reporting 11 or more patients residing in that ZCTA) from the number of low-income (below 200% FPL) residents in that same ZCTA. Because income is not reported in the UDS at the ZIP Code level, this measure is only an estimate and should be interpreted as such.

Uninsured Not Served by Health Centers - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Displays the estimated number of uninsured residents of the given ZCTA who are not served by any health centers for the health center type chosen in the tool.

Medicaid/ Other Pub Ins Not Served by Health Centers - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Displays the estimated number of residents of the given ZCTA who are covered by Medicaid and Other Needs-Based Public Insurance such as CHIP who are not served by any health centers for the health center type chosen in the tool.

Medicare/ Priv Ins Not Served by Health Centers - (Data from UDS reporting year 2015, and American Community Survey (ACS) 2015 one-year estimates at the Public Use Microdata Area (PUMA) level imputed to ZIP Code Tabulation Area (ZCTA) level by John Snow, Inc; prepared by John Snow, Inc.) Displays the estimated number of low-income residents of the given ZCTA who are covered by Medicare or Private Insurance who are not served by any health centers for the health center type chosen in the tool.

Total # of Health Center Patients, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Field provides the total number of residents in the user-selected analysis area counted as a patient of any Health Center in 2014. Same as "Current (2014) Health Center Patients".

% of Patients Uninsured, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Displays the percent of health center patients who are uninsured for the health center type chosen in the tool.

% of Patients with Medicaid/ Other Pub Ins, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Displays the percent of health center patients who are covered by Medicaid and Other Needs-Based Public Insurance such as CHIP for the health center type chosen in the tool.

% of Patients with Medicare/ Priv Ins, 2015 - (Data from UDS reporting year 2015; prepared by John Snow, Inc.) Displays the percent of health center patients who are covered by Medicare or Private Insurance for the health center type chosen in the tool.


FLARED ROLLOVERS

All data in the flared rollovers for Health Center Administrative Locations come directly from that organization's 2015 UDS report. For more information about these data or to download the data in tabular form, please visit the Health Center Data section of the Bureau of Primary Care website.


METHODOLOGY FOR ESTIMATING DATA TO THE ZCTA LEVEL

Two organizations have provided imputed data to the UDS Mapper. Both imputation methodologies are described here.

JSI, Inc. provided imputed data for the comparison of Health Center patients to underlying populations by insurance types. The following data were developed using the JSI Methodology:

  1. % Population Uninsured, 2015
  2. % Population with Medicaid and Other Needs-Based Public Insurance, 2015
  3. % Population with Medicare and Private Insurance, 2015
  4. Penetration of Uninsured Population
  5. Penetration of Population with Medicaid and Other Needs-Based Public Insurance
  6. Penetration of Population with Medicare or Private Insurance
  7. Uninsured Not Served by Health Centers
  8. Medicaid and Other Needs-Based Public Insurance Not Served by Health Centers
  9. Medicare or Private Insurance Not Served by Health Centers
  10. Uninsured Not Served by Health Centers (Dot Density)
  11. Medicaid and Other Needs-Based Public Insurance Not Served by Health Center (Dot Density)
  12. Medicare or Private Insurance Not Served by Health Centers (Dot Density)

JSI Methodology: The 2015 ZCTA-level estimates of the uninsured for this project were developed by JSI using the 2015 ACS 1-year table B27016: Health Insurance Coverage Status and Type by Ratio of Income to Poverty Level by Age. The initial data were obtained at the Public Use Microdata Area (PUMA) level to provide uniform coverage over all areas of the country. The uninsured in each age and poverty-level category within each PUMA were allocated to the Census Tracts within that PUMA based on the proportional presence of that population segment within each Census Tract, as a portion of the segment within the PUMA overall. The population segments within the tracts were based on 5-year (2011-2015) tract-level data from table B17024: Age By Ratio Of Income To Poverty Level In The Past 12 Months. The age and income categories were then collapsed to insurance status only. Medicaid totals were then adjusted to classify the dually eligible residents (termed "Medicaid/Means Tested & Medicare") into Medicare - matching how these users would be counted in the UDS. The estimates of percent dually eligible was developed at the PUMA level using 2015 1-year ACS table B27010: Types Of Health Insurance Coverage By Age. The adjusted tract estimates were then allocated down to census block level by population proportion within the tract to permit reaggregation to the Zip Code Tabulation Area (ZCTA) level. The final ZCTA level insurance estimates include three populations: Uninsured, Medicaid & Medicare/Private Insurance combined.

Robert Graham Center provided imputed data for the Population Indicators tool and the data formerly in the Uninsurance Explorer (Uninsurance by Income Level). The following data were developed using the Graham Center Methodology:

  1. Low Birth Weight Rate
  2. Age-Adjusted Mortality Rate (per 100,000)
  3. % of Adults Ever Told Have Diabetes
  4. % of Adults Ever Told Have High Blood Pressure
  5. % of Adults Who Are Obese
  6. % of Adults with No Dental Visit in the Past Year
  7. % of Adults Who Have Delayed or Not Sought Care Due to High Cost
  8. % of Adults with No Usual Source of Care

Robert Graham Center Methodology:

  1. Base data sets on the (1) data for Low Birth Weight Rate from the Area Health Resource File; (2) data for Age-Adjusted Mortality Rate (per 100, 000) from the Centers for Disease Control and Prevention Wonder System; and (3) data for Health Indicators from the Behavioral Risk Factor Surveillance Health System, were obtained. County-level estimates were computed for each of the above population indicators. For the counties that had a population of less than 20,000 people or for which the estimate was unavailable, state level estimates were used for imputation.
  2. Imputed blockgroup estimates: For each blockgroup, the rate for each population indicator (low birth weight rate, age-adjusted mortality rate, health indicators, and uninsured) at the imputed county level was applied using the blockgroup population percentages by race and ethnicity.
  3. Imputed block estimates: For each block, the rate for each population indicator (low birth weight rate, age-adjusted mortality rate, health indicators, and uninsured) at the blockgroup level was applied to each census block population counts to determine an estimated number of individuals for each variable.
  4. Assign census blocks to ZCTAs: Census block 2010 and ZCTA 2010 shapefiles were obtained from the Census Bureau. A Block-to-ZCTA Crosswalk file was created using a spatial join in Geographic Information Systems (GIS) software to code census 2010 block centroids with 2010 ZCTA FIPS ID numbers.
  5. Aggregate census block data to ZCTA level: Using the block-to-ZCTA crosswalk file, census block count data from Step 3 were aggregated to the ZCTA-level for all the population indicators.