AndreaBozzo/ceres-open-data-index huggingface dataset:
Building Permits in 2022

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of building construction and alteration permits applied for and approved by the District of Columbia Department of Buildings. These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC.</span></p></div></div></div>

Tags: building-permits, construction, dc, district-of-columbia, dob, economic, washington-dc
Organization: District of Columbia
Building Permits in 2016

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of building construction and alteration permits applied for and approved by the District of Columbia Department of Buildings. These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC.</span></p></div></div></div>

Tags: building-permits, construction, dc, district-of-columbia, dob, economic, washington-dc
Organization: District of Columbia
Building Permits in 2020

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of building construction and alteration permits applied for and approved by the District of Columbia Department of Buildings. These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC.</span></p></div></div></div>

Tags: building-permits, construction, dc, district-of-columbia, dob, economic, washington-dc
Organization: District of Columbia
Building Permits in 2023

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of building construction and alteration permits applied for and approved by the District of Columbia Department of Buildings. These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC.</span></p></div></div></div>

Tags: building-permits, construction, dc, district-of-columbia, dob, economic, washington-dc
Organization: District of Columbia
Building Permits in 2015

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of building construction and alteration permits applied for and approved by the District of Columbia Department of Buildings. These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC.</span></p></div></div></div>

Tags: building-permits, construction, dc, district-of-columbia, dob, economic, washington-dc
Organization: District of Columbia
State Child Support Agencies With Debt Compromise Policies

<p>Interactive Child Support Program Map - Click on State or Territory for more information regarding local policies to compromise child support debt owed to the state.</p>

Tags: administrative, arrears-management, case-management, child-support-program, childrens-health, debt-compromise, other, policy, program-information, promising-practices, state-local-child-support-agencies
Organization: U.S. Department of Health & Human Services
Building Permits in 2011

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of building construction and alteration permits applied for and approved by the District of Columbia Department of Buildings. These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC.</span></p></div></div></div>

Tags: building-permits, construction, dc, district-of-columbia, dob, economic, washington-dc
Organization: District of Columbia
Building Permits in 2013

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of building construction and alteration permits applied for and approved by the District of Columbia Department of Buildings. These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC.</span></p></div></div></div>

Tags: building-permits, construction, dc, district-of-columbia, dob, economic, washington-dc
Organization: District of Columbia
Building Permits in 2012

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of building construction and alteration permits applied for and approved by the District of Columbia Department of Buildings. These data are shared via an automated process where addresses are batch matched (geocoded) to the District's Master Address Repository. Users may find that some data points will contain 0,0 for X,Y coordinates resulting in inconsistent spatial locations. Addresses for these data points could not be automatically geocoded and will need to be manually geocoded to 'best fit' locations in DC.</span></p></div></div></div>

Tags: building-permits, construction, dc, district-of-columbia, dob, economic, washington-dc
Organization: District of Columbia
2024 Cartographic Boundary File (KML), Elementary School District for Massachusetts, 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.

School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.

The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2023-2024 school year, i.e., in operation as of January 1, 2024.

Tags: 2024, cartographic boundary, elementary school district, generalized, kml, ma, massachusetts, school district
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), United States, 1:20,000,000

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.

This file depicts the shape of the United States clipped back to a generalized coastline. This nation layer covers the extent of the fifty states, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.

Tags: 2024, cartographic boundary, generalized, kml, united states, united states of america (the), us
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), Block Group for North Carolina, 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, nc, north carolina
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (SHP), Secondary School District for California, 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.

School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.

The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2023-2024 school year, i.e., in operation as of January 1, 2024.

Tags: 2024, ca, california, cartographic boundary, generalized, school district, secondary school district, shp
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), Unified School District for Indiana, 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.

School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.

The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2023-2024 school year, i.e., in operation as of January 1, 2024.

Tags: 2024, cartographic boundary, generalized, in, indiana, kml, school district, unified school district
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), Elementary School District for New Hampshire, 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.

School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.

The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2023-2024 school year, i.e., in operation as of January 1, 2024.

Tags: 2024, cartographic boundary, elementary school district, generalized, kml, new hampshire, nh, school district
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (SHP), Division for United States, 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.

Divisions are groupings of states within a census geographic region, established by the Census Bureau for the presentation of census data. The current nine divisions (East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, and West South Central) are intended to represent relatively homogeneous areas that are subdivisions of the four census geographic regions.

Tags: 2024, cartographic boundary, division, generalized, shp, united states of america (the), us
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), Place for Wyoming, 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, wy, wyoming
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (SHP), State Legislative District (SLD) Lower Chamber for Utah, 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.

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, lower chamber, lower district, shp, state legislative district, ut, utah
Organization: U.S. Census Bureau, Department of Commerce