Big “p” policy changes at the state and federal level are certainly important to health equity, such as eligibility for and generosity of Medicaid benefits. Medicaid expansion has significantly expanded the number of people who are eligible for Medicaid and the creation of the health insurance exchanges (Marketplace) under the Affordable Care Act created a very visible avenue through which people can learn that they are eligible. Although many applications are now submitted online, physical access to state, county, and tribal government Medicaid offices still plays a critical role in understanding eligibility, getting help in applying, and navigating required documentation for both initial enrollment and redetermination of eligibility. However, as more government functions have moved online, in-person office locations and/or staff may have been cut to reduce costs, and gentrification has shifted where minoritized, marginalized, and/or low-income populations live, it is unclear if this key local connection point between residents and Medicaid has been maintained. Our objective was to identify and geocode all Medicaid offices in the United States for pairing with other spatial data (e.g., demographics, Medicaid participation, health care use, health outcomes) to investigate policy-relevant research questions. Three coders identified Medicaid office addresses in all 50 states and the District of Columbia by searching state government websites (e.g., Department of Health and Human Services or analogous state agency) during late 2021 and early 2022 for the appropriate Medicaid agency and its office locations, which were then reviewed for accuracy by a fourth coder. Our corpus of Medicaid office addresses was then geocoded using the Census Geocoder from the US Census Bureau (https://geocoding.geo.census.gov/geocoder/) with unresolved addresses investigated and/or manually geocoded using Google Maps. The corpus was updated in August through December 2023 following the end of the COVID-19 public health emergency by a fifth coder as several states closed and/or combined offices during the pandemic. After deduplication (e.g., where multiple counties share a single office) and removal of mailing addresses (e.g., PO Boxes), our dataset includes 3,027 Medicaid office locations. 1 (December 19, 2023) – original version 2 (January 25, 2024) – added related publication (Data in Brief), corrected two records that were missing negative signs in longitude 3 (February 6, 2024) – corrected latitude and longitude for one office (1340 State Route 9, Lake George, NY 12845) 4 (March 4, 2024) – added one office for Vermont after contacting relevant state agency (280 State Road, Waterbury, VT 05671)

The National Center for Education Statistics' (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated point locations (latitude and longitude) for public elementary, secondary, and unified school district administrative offices included in the NCES Common Core of Data (CCD). The CCD is an annual collection of basic administrative characteristics that includes the physical address for all public schools, school districts, and state education agencies in the United States. The NCES EDGE program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop point locations for schools and school district administrative offices based on these addresses. The point locations in this data layer were developed from the 2016-2017 CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

The National Center for Education Statistics' (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated point locations (latitude and longitude) for public elementary, secondary, and unified school district administrative offices included in the NCES Common Core of Data (CCD). The CCD is an annual collection of basic administrative characteristics that includes the physical address for all public schools, school districts, and state education agencies in the United States. The NCES EDGE program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop point locations for schools and school district administrative offices based on these addresses. The point locations in this data layer were developed from the 2019-2020 CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations. All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

The 2018 Census of Medical Examiner and Coroner Offices (CMEC) collects information from every publicly funded medical examiner and coroner office in the United States. Data are collected on administration, staffing, budget, workload, policies, and practices of these offices.

The Quarterly Census of Employment and Wages (QCEW) program serves as a near census of employment and wage information. The program produces a comprehensive tabulation of employment and wage information for workers covered by Connecticut Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Data on the number of establishments, employment, and wages are reported by industry for Connecticut and for the counties, towns and Labor Market Areas (LMAs) and Workforce Investment Areas (WIAs).

Analysis of ‘School District Office Locations 2016-17’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/7168c00d-971d-4b72-b42e-588443808976 on 11 February 2022.

--- Dataset description provided by original source is as follows ---

--- Original source retains full ownership of the source dataset ---

This dataset contains polygons that represent the boundaries of statistical neighborhoods as defined by the DC Department of Health (DC Health). DC Health delineates statistical neighborhoods to facilitate small-area analyses and visualization of health, economic, social, and other indicators to display and uncover disparate outcomes among populations across the city. The neighborhoods are also used to determine eligibility for some health services programs and support research by various entities within and outside of government. DC Health Planning Neighborhood boundaries follow census tract 2010 lines defined by the US Census Bureau. Each neighborhood is a group of between one and seven different, contiguous census tracts. This allows for easier comparison to Census data and calculation of rates per population (including estimates from the American Community Survey and Annual Population Estimates). These do not reflect precise neighborhood locations and do not necessarily include all commonly-used neighborhood designations. There is no formal set of standards that describes which neighborhoods are included in this dataset. Note that the District of Columbia does not have official neighborhood boundaries. Origin of boundaries: each neighborhood is a group of between one and seven different, contiguous census tracts. They were originally determined in 2015 as part of an analytical research project with technical assistance from the Centers for Disease Control and Prevention (CDC) and the Council for State and Territorial Epidemiologists (CSTE) to define small area estimates of life expectancy. Census tracts were grouped roughly following the Office of Planning Neighborhood Cluster boundaries, where possible, and were made just large enough to achieve standard errors of less than 2 for each neighborhood's calculation of life expectancy. The resulting neighborhoods were used in the DC Health Equity Report (2018) with updated names. HPNs were modified slightly in 2019, incorporating one census tract that was consistently suppressed due to low numbers into a neighboring HPN (Lincoln Park incorporated into Capitol Hill). Demographic information were analyzed to identify the bordering group with the most similarities to the single census tract. A second change split a neighborhood (GWU/National Mall) into two to facilitate separate analysis.

The Agricultural Census (RA) is a comprehensive survey of all agricultural holdings, conducted every ten years. In particular, it makes it possible to know the utilised agricultural area (UAA) of each holding. In 2000, the RA included a question to break down this UAA between the 9 main municipalities where the land of the farm was actually located. In 2010, this issue was deleted. The entire area was therefore located in the municipality of the head office of the holding. It should be recalled that the head office of the holding is the farm body, the main building of the holding, or, failing that, the municipality where the holding has most of its parcels. This is not the registered office, and the place of business is therefore normally situated near at least part of the parcels of the holding. The Agricultural Census (RA) is a comprehensive survey of all agricultural holdings, conducted every ten years.In particular, it makes it possible to know the utilised agricultural area (UAA) of each holding. In 2000, the RA included a question to break down this UAA between the 9 main municipalities where the land of the farm was actually located. In 2010, this issue was deleted. The entire area was therefore located in the municipality of the head office of the holding. It should be recalled that the head office of the holding is the farm body, the main building of the holding, or, failing that, the municipality where the holding has most of its parcels. This is not the registered office, and the place of business is therefore normally situated near at least part of the parcels of the holding. The Agricultural Census (RA) is a comprehensive survey of all agricultural holdings, conducted every ten years. In particular, it makes it possible to know the utilised agricultural area (UAA) of each holding. In 2000, the RA included a question to break down this UAA between the 9 main municipalities where the land of the farm was actually located. In 2010, this issue was deleted. The entire area was therefore located in the municipality of the head office of the holding. It should be recalled that the head office of the holding is the farm body, the main building of the holding, or, failing that, the municipality where the holding has most of its parcels. This is not the registered office, and the place of business is therefore normally situated near at least part of the parcels of the holding.

This dataset contains polygons that represent the boundaries of statistical neighborhoods as defined by the DC Department of Health (DC Health). DC Health delineates statistical neighborhoods to facilitate small-area analyses and visualization of health, economic, social, and other indicators to display and uncover disparate outcomes among populations across the city. The neighborhoods are also used to determine eligibility for some health services programs and support research by various entities within and outside of government. DC Health Planning Neighborhood boundaries follow census tract 2010 lines defined by the US Census Bureau. Each neighborhood is a group of between one and seven different, contiguous census tracts. This allows for easier comparison to Census data and calculation of rates per population (including estimates from the American Community Survey and Annual Population Estimates). These do not reflect precise neighborhood locations and do not necessarily include all commonly-used neighborhood designations. There is no formal set of standards that describes which neighborhoods are included in this dataset. Note that the District of Columbia does not have official neighborhood boundaries. Origin of boundaries: each neighborhood is a group of between one and seven different, contiguous census tracts. They were originally determined in 2015 as part of an analytical research project with technical assistance from the Centers for Disease Control and Prevention (CDC) and the Council for State and Territorial Epidemiologists (CSTE) to define small area estimates of life expectancy. Census tracts were grouped roughly following the Office of Planning Neighborhood Cluster boundaries, where possible, and were made just large enough to achieve standard errors of less than 2 for each neighborhood's calculation of life expectancy. The resulting neighborhoods were used in the DC Health Equity Report (2018) with updated names. HPNs were modified slightly in 2019, incorporating one census tract that was consistently suppressed due to low numbers into a neighboring HPN (Lincoln Park incorporated into Capitol Hill). Demographic information were analyzed to identify the bordering group with the most similarities to the single census tract. A second change split a neighborhood (GWU/National Mall) into two to facilitate separate analysis.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes - Special populations: No

UNIT DESCRIPTIONS: - Dwellings: Accommodations/rooms - Households: A household comprises all persons living and keeping house together. Persons keeping house alone are regarded as separate households. Persons having more than one dwelling will be allocated to a household in each dwelling. - Group quarters: All individual persons in community residences that do not keep house for themselves compose a collective household.

Universe

Total population entitled to reside in households

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Federal Statistical Office

SAMPLE DESIGN: 5% sample of households drawn by the Federal Statistical Office. Sample method unknown

SAMPLE UNIT: Household

SAMPLE FRACTION: 5%

SAMPLE SIZE (person records): 3,160,224

Mode of data collection

Face-to-face [f2f]

Research instrument

There are 2 forms: (1) dwelling questionnaire which contains question relating to building characteristics; and (2) personal questionnaire which contains questions about individual characteristics

Response rate

COVERAGE: 100%

The National Center for Education Statistics' (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated point locations (latitude and longitude) for public elementary, secondary, and unified school district administrative offices included in the NCES Common Core of Data (CCD). The CCD is an annual collection of basic administrative characteristics that includes the physical address for all public schools, school districts, and state education agencies in the United States. The NCES EDGE program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop point locations for schools and school district administrative offices based on these addresses. The point locations in this data layer were developed from the 2018-2019 CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations.

As included in this EnviroAtlas dataset, the community domestic water use was calculated using local domestic water use per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these provider-supplied estimates are also considered representative of local self-supplied water use. Specific to Portland, ME, the Portland Water District (PWD) is the main provider for the study area. Within the study area, PWD supports Portland, South Portland, Westbrook, Scarborough, and Cape Elizabeth. PWD estimates current residential water use to be ~52 GPD. The southern portion of the study area is supported by the Biddeford and Saco Water Company (BSWC). Within the study area, their service area includes Biddeford, Saco, Old Orchard Beach, and Pine Point. BSWC estimates current residential water usage to be ~50 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).

BAS Submissions Read Me

This shapefile includes the annexation polygons that the Office of Financial Management (OFM) has sent to the Census Bureau since March 2020 as part of the Boundary and Annexation Survey (BAS). The Census Bureau uses these polygons to update Washington State’s city limits. Field names follow Census BAS guidelines, and an outline of relevant field names is below. More information about BAS can be found here: https://www.census.gov/programs-surveys/bas.html

The polygons include the quarterly annexations and other boundary corrections that effect the Census city boundaries, as well as several county boundary adjustments for King, Kittitas, Pierce, Spokane, and Stevens County. The annexation polygons were originally created by Washington’s Department of Transportation, and then edited by OFM to align with the latest BAS city boundary file available. These polygons to not follow the strict legal description of the annexation, as their intent is to make clear delineations between jurisdictions for population allocation. The following are the main differences between BAS annexation polygons and the originals:

<!--· The edges and vertices of polygons are snapped first to contiguous Census city limits and then to county parcels

<!--·
Where an annexation moves a city boundary to be either adjacent or across a right of way, the polygon is drawn to the centerline of the right of way

<!--· Annexations that are only include a right of way are often omitted, as they will not change the Census Bureau boundary

This file is updated quarterly. For questions or for data from earlier years, please contact Nate Chase nate.chase@ofm.wa.gov.

Relevant Field Names:

<!--·
CHNG_TYPE- Type of area update. A is annexation, D is deannexation, and B is a boundary correction which is a newly discovered boundary discrepancy

<!--· Eff_date- the local effective date

<!--· AUTHYPE- O is ordinance or resolution; X is for boundary correction; L signifies a county boundary correction

<!--· DOCU- the legal ordinance or resolution for the annexation. If there is a blank, then the entry is a correction polygon.

<!--· RELATE- Changing from in or out of jurisdiction

<!--· JUSTIFY- OFM’s reason for submitting the change polygon

<!--· A_Date- this is the date that OFM approves the annexation. OFM cannot legally approve annexations until all state requirements are met. The approval date cannot be earlier than the effective date, but it can be on the same day. OFM’s population determinations use the approval date of annexations. BAS submissions are only submitted after this date.

<!--· Source- The file in which the change polygon was originally submitted. Examples:

o
2022_Q1 submitted in December 2021

o 2022_Q2 submitted in March 2022

o
2022_Q3 submitted in June 2022

o
2022_Q4 submitted in September 2022