AndreaBozzo/ceres-open-data-index huggingface dataset:
Construction Permits in 2024

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of above ground permits applied for and approved by the District Department of Transportation. They are newly occupied constructions and events. Examples include: moving truck, roll off debris container, moving storage container, construction staging area, mobile crane work zone, other reserved parking. The public space permit process is described on the DDOT website </span><a href='http://ddot.dc.gov/' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>ddot.dc.gov</span></a><span>.</span></p><p><span>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. Use the </span><a href='https://mar2.data.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>MAR Geocoder</span></a><span> to help complete this.</span></p></div></div></div>

Tags: cdw, dc, ddot, district-of-columbia, feeds, permit, public-space-permit, washington-dc
Organization: District of Columbia
2024 Cartographic Boundary File (SHP), State Legislative District (SLD) Upper Chamber for Puerto Rico, 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, pr, puerto rico, shp, state legislative district, upper chamber
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (SHP), State Legislative District (SLD) Lower Chamber for South Dakota, 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, sd, shp, south dakota, state legislative district
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), Secondary School District for South 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.

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, kml, sc, school district, secondary school district, south carolina
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), 119th Congressional Districts for Tennessee, 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.

Congressional districts are the 435 areas 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 119th Congress is seated from January 2025 through December 2026. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the CDs to cover all of the state or state equivalent area. In these areas with no CDs defined, the code "ZZ" has been assigned, which is treated as a single CD for purposes of data presentation. The cartographic boundary files 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 generalzied boundaries of all other congressional districts are based on information provided to the Census Bureau by the states by May 31, 2024.

Tags: 2024, cartographic boundary, congressional district, generalized, kml, tennessee, tn
Organization: U.S. Census Bureau, Department of Commerce
Occupancy Permits in 2012

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes for above ground permits applied for and approved by the District Department of Transportation. They are existing occupied constructions and events. Examples include: moving trucks, roll off debris container, moving storage container, construction staging area, mobile crane work zone, other reserved parking. The public space permit process is described on the DDOT website </span><a href='https://ddot.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://ddot.dc.gov</span></a><span>.</span></p><p><span>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. Use the </span><a href='https://mar2.data.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>MAR Geocoder</span></a><span> to help complete this.</span></p></div></div></div>

Tags: cdw, ddot, district-of-columbia, feeds, permit, public-space, public-space-permit, transportation, washington-dc
Organization: District of Columbia
Occupancy Permits in 2017

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes for above ground permits applied for and approved by the District Department of Transportation. They are existing occupied constructions and events. Examples include: moving trucks, roll off debris container, moving storage container, construction staging area, mobile crane work zone, other reserved parking. The public space permit process is described on the DDOT website </span><a href='https://ddot.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://ddot.dc.gov</span></a><span>.</span></p><p><span>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. Use the </span><a href='https://mar2.data.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>MAR Geocoder</span></a><span> to help complete this.</span></p></div></div></div>

Tags: cdw, ddot, district-of-columbia, feeds, permit, public-space, public-space-permit, transportation, washington-dc
Organization: District of Columbia
2024 Cartographic Boundary File (KML), Unified School District for Pennsylvania, 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, kml, pa, pennsylvania, school district, unified school district
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), State Legislative District (SLD) Lower Chamber for Vermont, 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, lower chamber, lower district, state legislative district, vermont, vt
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), Place for Alabama, 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, al, alabama, cartographic boundary, cdp, census designated place, generalized, kml, place
Organization: U.S. Census Bureau, Department of Commerce
Occupancy Permits in 2018

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes for above ground permits applied for and approved by the District Department of Transportation. They are existing occupied constructions and events. Examples include: moving trucks, roll off debris container, moving storage container, construction staging area, mobile crane work zone, other reserved parking. The public space permit process is described on the DDOT website </span><a href='https://ddot.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://ddot.dc.gov</span></a><span>.</span></p><p><span>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. Use the </span><a href='https://mar2.data.dc.gov:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>MAR Geocoder</span></a><span> to help complete this.</span></p></div></div></div>

Tags: cdw, ddot, district-of-columbia, feeds, permit, public-space, public-space-permit, transportation, washington-dc
Organization: District of Columbia
2024 Cartographic Boundary File (KML), County Subdivision for American Samoa, 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.

County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions.  

The generalized boundaries of legal MCDs 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 CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2024, american samoa, as, cartographic boundary, county, county subdivision, generalized, kml
Organization: U.S. Census Bureau, Department of Commerce