AndreaBozzo/ceres-open-data-index huggingface dataset:
2024 Cartographic Boundary File (SHP), Block Group for Vermont, 1:500,000

The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas.

The generalized BG boundaries in this release are based on those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2024, block group, cartographic boundary, census tract, county, generalized, shp, vermont, vt
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), State Legislative District (SLD) Upper Chamber for Puerto Rico, 1:500,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.

The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2024 election year and provided by state-level participants through the RDP.

Tags: 2024, cartographic boundary, generalized, kml, pr, puerto rico, state legislative district, upper chamber
Organization: U.S. Census Bureau, Department of Commerce
National Bridge Inventory

The National Bridge Inventory dataset is as of June 20, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data describes more than 624,000 of the Nation's bridges located on public roads, including Interstate Highways, U.S. highways, State and local roads, as well as publicly-accessible bridges on Federal and Tribal lands. The inventory data presented includes information on the location, description, classification, and general condition for each bridge. The Recording and Coding Guide for the Structure Inventory and Appraisal of the Nation's Bridges (Coding Guide) contains a detailed description of each data element including coding instructions and attribute definitions. The Coding Guide is available at: https://doi.org/10.21949/1519105. For additional questions regarding regulations for the National Bridge Inventory or the Coding Guide please contact the National Bridge and Tunnel Inventory team at NBTIS_Support@dot.gov. For questions on the geospatial component of the dataset, contact the NTAD team at NTAD@dot.gov. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1519105

Tags: atlas, bridge, bridge elements, bridges, condition, database, element, inventory, national, national geospatial data asset, national transportation atlas database, nbi, ngda, ngdaid142, ntad, point, structure, transportation, transportation theme, usa, vector
Organization: Department of Transportation
Medicare Fee for Service (FFS) claims (100%) – Vision and Eye Health Surveillance

2014-2019. This dataset is a de-identified summary table of vision and eye health data indicators from Medicare claims, stratified by all available combinations of age group, race/ethnicity, gender, and state. Medicare claims for VEHSS includes beneficiaries who were fully enrolled in Medicare Part B Fee-for-Service (FFS) for the duration of the year. Medicare claims provide a convenience sample that includes approximately 30 million individuals annually, which represents nearly 89% of the US population aged 65 and older and 3.3% of the US population younger than 65, including persons disabled due to blindness. Medicare data for VEHSS include Service Utilization and Medical Diagnoses indicators. Data were suppressed for de-identification to ensure protection of patient privacy. Data will be updated as it becomes available. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicare webpage (cdc.gov/visionhealth/vehss/data/claims/medicare.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicare dataset was last updated May 2023.

Tags: claims, eye-exams, medical-diagnoses, medicare, service-utilization, treated-prevalence
Organization: U.S. Department of Health & Human Services
No FEAR Act Data (FEMA Statistics)

In 2002, President George W. Bush signed the Notification and Federal Employee Anti-discrimination and Retaliation Act, Public Law 107-174, Title I, General Provisions, Section 101(1), requires each federal agency to provide written notification of the rights and protections available to federal employees, former federal employees and applicants for federal employment under federal antidiscrimination and whistleblower laws listed in the No FEAR Act. The No FEAR Act increases the accountability of federal departments and agencies for acts of discrimination or reprisal against employees.rnrnThe No FEAR Act requires that federal agencies be accountable for violations of anti-discrimination and whistleblower protection laws. To comply with Title III of the No FEAR Act, FEMA must, among other requirements, post a summary of the statistical data relating to the Equal Employment Opportunity complaints filed with the agency. This data is updated on this website quarterly.rnrnFor further information regarding the No FEAR Act regulations, refer to 5 CFR Part 724, as well as the DHS Office for Civil Rights and Civil Liberties. Additional information regarding federal antidiscrimination, whistleblower protection and retaliation laws can be found at www.eeoc.gov and www.osc.gov.

Tags: people
Organization: Department of Homeland Security
2024 Cartographic Boundary File (KML), Block Group for South Dakota, 1:500,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas.

The generalized BG boundaries in this release are based on those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2024, block group, cartographic boundary, census tract, county, generalized, kml, sd, south dakota
Organization: U.S. Census Bureau, Department of Commerce
Emergency Management Performance Grants (OPENFEMA)

This dataset contains information on projects supported by Emergency Management Performance Grants (EMPG) recipients and as reported by the recipient in the Grant Reporting Tool (GRT).rnrnThe EMPG Program provides resources to assist state, local, tribal, and territorial governments in preparing for all hazards, as authorized by Section 662 of the Post Katrina Emergency Management Reform Act (6 U.S.C § 762) and the Robert T. Stafford Disaster Relief and Emergency Assistance Act, as amended (42 U.S.C. §§ 5121 et seq.). Title VI of the Stafford Act authorizes FEMA to make grants for the purpose of providing a system of emergency preparedness for the protection of life and property in the United States from hazards, and to vest responsibility for emergency preparedness jointly in the federal government and the states and their political subdivisions. The EMPG, from FY 2016 to the present, provides federal funds to assist state, local, tribal, and territorial emergency management agencies to obtain the resources required to support the National Preparedness Goal's (NPG's) associated mission areas and core capabilities. The Federal Government, through the EMPG Program, provides necessary direction, coordination, and guidance, and provides necessary assistance, as authorized in this title to support a comprehensive all hazards emergency preparedness system.rnrnThe EMPG supports a comprehensive, all-hazard emergency preparedness system by building and sustaining the core capabilities contained in the NPG’s. Examples include:rn•tCompleting the Threat and Hazard Identification and Risk Assessment (THIRA) process.rn•tStrengthening a state or community's emergency management governance structure.rn•tUpdating and approving specific emergency plans.rn•tDesigning and conducting exercises that enable whole community stakeholders to examine and validate core capabilities and the plans needed to deliver them to the targets identified through the THIRA.rn•tTargeting training and verifying identified capabilities.rn•tInitiating or achieving a whole community approach to security and emergency management.rnrnThis dataset was first made public on 10/31/2016 and is updated twice twice a year.rnrnFor additional details on the EMPG program visit: https://www.fema.gov/grants/preparedness/emergency-management-performance.rnrnThis dataset is not intended to be an official federal report and should not be considered an official federal report.rnrnCitation: The Agency’s preferred citation for datasets (API usage or file downloads) can be found on the OpenFEMA Terms and Conditions page, Citing Data section: https://www.fema.gov/about/openfema/terms-conditions.rnrnIf you have media inquiries about this dataset, please email the FEMA News Desk at FEMA-News-Desk@fema.dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open Government program, please email the OpenFEMA team at OpenFEMA@fema.dhs.gov. For DHS-internal inquiries about this dataset, please reach out to Kelovey DeBraux at kelovey.debraux@fema.dhs.gov .

Tags: finance
Organization: Department of Homeland Security
Public Assistance Grant Award Activities (Factrax)

This record description is for the FEMA Applicant Case Tracker (Fac-trax - Grants Manager) portion of the unioned query required due to migration of Public Assistance (PA) Recovery records from the EMMIE database into the Fac-trax database. This dataset contains data on Public Assistance project awards (obligations), including the project obligation date(s); dollar amount of Federal Share Obligated for each project and its obligation date(s); FEMA region; state; disaster declaration number; descriptive cause of the declaration (incident type); entity requesting public assistance (applicant name); and distinct name for the repair, replacement or mitigation work listed for assistance (Project Title). The PA Grant Awards Activities dataset does not collect, maintain, use, or disseminate any Personally Identifiable Information (PII).rnrnAs part of Congressional bill HR 152 - the Sandy Recovery Improvement Act of 2013, FEMA is providing the following information for our stakeholders:rn• Regionrn• Disaster Declaration Numberrn• Disaster Typern• Statern• Applicantrn• Countyrn• Damage Category Codern• Federal Share Obligatedrn• Date ObligatedrnrnFEMA obligates funding for a project directly to the Recipient (State or Tribe). It is the Recipient's responsibility to ensure that the eligible subrecipient (listed in the dataset as Applicant Name) receives the award funding.rnThis dataset lists details about project versions. Versions occur when the scope/cost changes for a project.  Versions adjust the cost of the project  with positive additions called obligations and subtractions called deobligations.  Combined, they reconcile to reflect the Total Federal Share Obligation, but reconciliation occurs over the life of the project, sometimes years after the declaration date.  The dataset represents project obligations within a seven-day period prior to the listed date but does not include obligations uploaded on the same day as the publication.  Open projects still under pre-obligation processing are not represented.rnFor more information on the Public Assistance process see: https://www.fema.gov/assistance/public/process.rnThis is raw, unedited data from FEMA's Fac-trax database and as such is subject to a small percentage of human error. The financial information is derived from Fac-trax and not FEMA's official financial systems. Due to differences in reporting periods, status of obligations and application of business rules, this financial information may differ slightly from official publication on public websites such as usaspending.gov. This dataset is not intended to be used for any official federal reporting.rnIf you have media inquiries about this dataset, please email the FEMA News Desk at FEMA-News-Desk@fema.dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open Government program, please email the OpenFEMA team at OpenFEMA@fema.dhs.gov.

Tags: incidents
Organization: Department of Homeland Security
Mission Assignments

Mission Assignment, as defined in the 44 Code of Federal Regulations, is a work order issued by FEMA to another Federal agency directing completion of a specified task and citing funding, other managerial controls, and guidance. rnMission Assignments are essential and powerful tools for federal emergency management under the Stafford Act.  Mission Assignments are distinct because they allow for deployment, employment, and assistance from the full range of federal resources to support disaster needs.rnIf you have media inquiries about this dataset, please email the FEMA News Desk at FEMA-News-Desk@fema.dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open Government program, please email the OpenFEMA team at OpenFEMA@fema.dhs.gov.

Tags: external-coordination
Organization: Department of Homeland Security
Public Assistance Funded Projects Details

The Public Assistance (PA) Funded Projects Details dataset contains a list of funded (obligated) PA projects, called project worksheets. Unobligated projects (still in formulation) are not represented.  The Applicant ID is provided for this dataset to be used with the OpenFEMA “Public Assistance Applicants - v1” dataset.rnFEMA provides supplemental Federal disaster grant assistance for debris removal, emergency protective measures, and the repair, replacement, or restoration of disaster-damaged, publicly owned facilities and the facilities of certain Private Non-Profit (PNP) organizations through the PA Program (CDFA Number 97.036). The PA Program also encourages protection of these damaged facilities from future events by providing assistance for 406 hazard mitigation measures during the recovery process.rnThis is raw, unedited data from FEMA's Emergency Management Mission Integrated Environment (EMMIE) and as such is subject to a small percentage of human error. The financial information is derived from EMMIE and not FEMA's official financial systems. Due to differences in reporting periods, status of obligations, and application of business rules, this financial information may differ slightly from official publication on public websites such as www.usaspending.gov . This dataset is not intended to be used for any official federal reporting.rnThe data has been incorporated into a graphic visualization at Public Assistance Program Summary of Obligations: https://www.fema.gov/data-visualization/public-assistance-program-summary-obligations. Questions pertaining to the data visualizations should be addressed to EnterpriseAnalytics@fema.dhs.gov.rnIf you have media inquiries about this dataset, please email the FEMA News Desk at FEMA-News-Desk@fema.dhs.gov or call (202) 646-3272. For inquiries about FEMA's data and Open Government program, please email the OpenFEMA team at OpenFEMA@fema.dhs.gov.

Tags: incidents
Organization: Department of Homeland Security
2024 Cartographic Boundary File (KML), Place for Puerto Rico, 1:500,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population.

The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2024, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs are based on those delineated or updated as part of the the 2024 BAS or the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2024, cartographic boundary, cdp, census designated place, generalized, kml, place, pr, puerto rico
Organization: U.S. Census Bureau, Department of Commerce