100+ datasets found
  1. 2022 Cartographic Boundary File (SHP), United States, 1:20,000,000

    • catalog.data.gov
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2022 Cartographic Boundary File (SHP), United States, 1:20,000,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-united-states-1-20000000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The 2022 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. 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.

  2. d

    US Census Place Shape Boundary 2021

    • catalog.data.gov
    • data.americorps.gov
    • +2more
    Updated Nov 29, 2023
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    David Kurz (2023). US Census Place Shape Boundary 2021 [Dataset]. https://catalog.data.gov/dataset/us-census-place-shape-boundary-2021
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    Dataset updated
    Nov 29, 2023
    Dataset provided by
    David Kurz
    Area covered
    United States
    Description

    Boundary Shapes for the US Census 'Places' 2021

  3. US State Boundaries

    • hub.arcgis.com
    • open-data-pittsylvania.hub.arcgis.com
    Updated Apr 28, 2017
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    Esri Training Services (2017). US State Boundaries [Dataset]. https://hub.arcgis.com/maps/TrainingServices::us-state-boundaries
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    Dataset updated
    Apr 28, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Training Services
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    This map layer portrays the State boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. The map layer was created by extracting county polygon features from the CENSUS 2006 TIGER/Line files produced by the U.S. Census Bureau. These files were then merged into a single file and county boundaries within States were removed. This is a revised version of the July 2012 map layer.The data and related materials are made available through Esri (http://www.esri.com) and are intended for educational purposes only (see Access and Use Constraints section).

  4. a

    Map Image Layer - Administrative Boundaries

    • hub.arcgis.com
    • watershed-gis-mpca.hub.arcgis.com
    Updated Jan 12, 2022
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    Minnesota Pollution Control Agency (2022). Map Image Layer - Administrative Boundaries [Dataset]. https://hub.arcgis.com/maps/c671252c058d46ad9173e0434382dc61
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    Dataset updated
    Jan 12, 2022
    Dataset authored and provided by
    Minnesota Pollution Control Agency
    Area covered
    Description

    The "Map Imager Layer - Administrative Boundaries" is a Map Image Layer of Administrative Boundaries. It has been designed specifically for use in ArcGIS Online (and will not directly work in ArcMap or ArcPro). This data has been modified from the original source data to serve a specific business purpose. This data is for cartographic purposes only.The Administrative Boundaries Data Group contains the following layers: Populated Places (USGS)US Census Urbanized Areas and Urban Clusters (USCB)US Census Minor Civil Divisions (USCB)PLSS Townships (MnDNR, MnGeo)Counties (USCB)American Indian, Alaska Native, Native Hawaiian (AIANNH) Areas (USCB)States (USCB)Countries (MPCA)These datasets have not been optimized for fast display (but rather they maintain their original shape/precision), therefore it is recommend that filtering is used to show only the features of interest. For more information about using filters please see "Work with map layers: Apply Filters": https://doc.arcgis.com/en/arcgis-online/create-maps/apply-filters.htmFor additional information about the Administrative Boundary Dataset please see:United States Census Bureau TIGER/Line Shapefiles and TIGER/Line Files Technical Documentation: https://www.census.gov/programs-surveys/geography/technical-documentation/complete-technical-documentation/tiger-geo-line.htmlUnited States Census Bureau Census Mapping Files: https://www.census.gov/geographies/mapping-files.htmlUnited States Census Bureau TIGER/Line Shapefiles: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html and https://www.census.gov/cgi-bin/geo/shapefiles/index.php

  5. 2023 Cartographic Boundary File (KML), United States, 1:5,000,000

    • catalog.data.gov
    • gimi9.com
    Updated May 16, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2024). 2023 Cartographic Boundary File (KML), United States, 1:5,000,000 [Dataset]. https://catalog.data.gov/dataset/2023-cartographic-boundary-file-kml-united-states-1-5000000
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    Dataset updated
    May 16, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Area covered
    United States
    Description

    The 2023 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.

  6. CA Geographic Boundaries

    • data.ca.gov
    • catalog.data.gov
    shp
    Updated May 3, 2024
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    California Department of Technology (2024). CA Geographic Boundaries [Dataset]. https://data.ca.gov/dataset/ca-geographic-boundaries
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    shp(10153125), shp(136046), shp(2597712)Available download formats
    Dataset updated
    May 3, 2024
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Description

    This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

  7. d

    2015 Cartographic Boundary File, United States, 1:20,000,000

    • catalog.data.gov
    • gimi9.com
    Updated Jan 13, 2021
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    (2021). 2015 Cartographic Boundary File, United States, 1:20,000,000 [Dataset]. https://catalog.data.gov/dataset/2015-cartographic-boundary-file-united-states-1-20000000
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    Dataset updated
    Jan 13, 2021
    Area covered
    United States
    Description

    The 2015 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.

  8. TIGER/Line Shapefile, 2022, Nation, U.S., 2020 Census 5-Digit ZIP Code...

    • catalog.data.gov
    Updated Jan 27, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, Nation, U.S., 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-nation-u-s-2020-census-5-digit-zip-code-tabulation-area-zcta5
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    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The ZCTA boundaries in this release are those delineated following the 2020 Census.

  9. 2016 KML Boundary File, United States, 1:20,000,000

    • data.wu.ac.at
    html, zip
    Updated Jun 30, 2017
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    US Census Bureau, Department of Commerce (2017). 2016 KML Boundary File, United States, 1:20,000,000 [Dataset]. https://data.wu.ac.at/schema/data_gov/MjIyYWUwMDUtYmYwMC00OTc1LTliNTItYTA3YTMwNWMwYTlm
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    html, zipAvailable download formats
    Dataset updated
    Jun 30, 2017
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    33f729ad5c724076de0b43ad903c627ff57679b9, United States
    Description

    The 2016 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.

  10. o

    Data from: US County Boundaries

    • public.opendatasoft.com
    • data.smartidf.services
    csv, excel, geojson +1
    Updated Jun 27, 2017
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    (2017). US County Boundaries [Dataset]. https://public.opendatasoft.com/explore/dataset/us-county-boundaries/
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    json, csv, excel, geojsonAvailable download formats
    Dataset updated
    Jun 27, 2017
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2017, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  11. Large Scale International Boundaries

    • catalog.data.gov
    • geodata.state.gov
    Updated Feb 28, 2025
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    U.S. Department of State (Point of Contact) (2025). Large Scale International Boundaries [Dataset]. https://catalog.data.gov/dataset/large-scale-international-boundaries
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    United States Department of Statehttp://state.gov/
    Description

    Overview The Office of the Geographer and Global Issues at the U.S. Department of State produces the Large Scale International Boundaries (LSIB) dataset. The current edition is version 11.4 (published 24 February 2025). The 11.4 release contains updated boundary lines and data refinements designed to extend the functionality of the dataset. These data and generalized derivatives are the only international boundary lines approved for U.S. Government use. The contents of this dataset reflect U.S. Government policy on international boundary alignment, political recognition, and dispute status. They do not necessarily reflect de facto limits of control. National Geospatial Data Asset This dataset is a National Geospatial Data Asset (NGDAID 194) managed by the Department of State. It is a part of the International Boundaries Theme created by the Federal Geographic Data Committee. Dataset Source Details Sources for these data include treaties, relevant maps, and data from boundary commissions, as well as national mapping agencies. Where available and applicable, the dataset incorporates information from courts, tribunals, and international arbitrations. The research and recovery process includes analysis of satellite imagery and elevation data. Due to the limitations of source materials and processing techniques, most lines are within 100 meters of their true position on the ground. Cartographic Visualization The LSIB is a geospatial dataset that, when used for cartographic purposes, requires additional styling. The LSIB download package contains example style files for commonly used software applications. The attribute table also contains embedded information to guide the cartographic representation. Additional discussion of these considerations can be found in the Use of Core Attributes in Cartographic Visualization section below. Additional cartographic information pertaining to the depiction and description of international boundaries or areas of special sovereignty can be found in Guidance Bulletins published by the Office of the Geographer and Global Issues: https://hiu.state.gov/data/cartographic_guidance_bulletins/ Contact Direct inquiries to internationalboundaries@state.gov. Direct download: https://data.geodata.state.gov/LSIB.zip Attribute Structure The dataset uses the following attributes divided into two categories: ATTRIBUTE NAME | ATTRIBUTE STATUS CC1 | Core CC1_GENC3 | Extension CC1_WPID | Extension COUNTRY1 | Core CC2 | Core CC2_GENC3 | Extension CC2_WPID | Extension COUNTRY2 | Core RANK | Core LABEL | Core STATUS | Core NOTES | Core LSIB_ID | Extension ANTECIDS | Extension PREVIDS | Extension PARENTID | Extension PARENTSEG | Extension These attributes have external data sources that update separately from the LSIB: ATTRIBUTE NAME | ATTRIBUTE STATUS CC1 | GENC CC1_GENC3 | GENC CC1_WPID | World Polygons COUNTRY1 | DoS Lists CC2 | GENC CC2_GENC3 | GENC CC2_WPID | World Polygons COUNTRY2 | DoS Lists LSIB_ID | BASE ANTECIDS | BASE PREVIDS | BASE PARENTID | BASE PARENTSEG | BASE The core attributes listed above describe the boundary lines contained within the LSIB dataset. Removal of core attributes from the dataset will change the meaning of the lines. An attribute status of “Extension” represents a field containing data interoperability information. Other attributes not listed above include “FID”, “Shape_length” and “Shape.” These are components of the shapefile format and do not form an intrinsic part of the LSIB. Core Attributes The eight core attributes listed above contain unique information which, when combined with the line geometry, comprise the LSIB dataset. These Core Attributes are further divided into Country Code and Name Fields and Descriptive Fields. County Code and Country Name Fields “CC1” and “CC2” fields are machine readable fields that contain political entity codes. These are two-character codes derived from the Geopolitical Entities, Names, and Codes Standard (GENC), Edition 3 Update 18. “CC1_GENC3” and “CC2_GENC3” fields contain the corresponding three-character GENC codes and are extension attributes discussed below. The codes “Q2” or “QX2” denote a line in the LSIB representing a boundary associated with areas not contained within the GENC standard. The “COUNTRY1” and “COUNTRY2” fields contain the names of corresponding political entities. These fields contain names approved by the U.S. Board on Geographic Names (BGN) as incorporated in the ‘"Independent States in the World" and "Dependencies and Areas of Special Sovereignty" lists maintained by the Department of State. To ensure maximum compatibility, names are presented without diacritics and certain names are rendered using common cartographic abbreviations. Names for lines associated with the code "Q2" are descriptive and not necessarily BGN-approved. Names rendered in all CAPITAL LETTERS denote independent states. Names rendered in normal text represent dependencies, areas of special sovereignty, or are otherwise presented for the convenience of the user. Descriptive Fields The following text fields are a part of the core attributes of the LSIB dataset and do not update from external sources. They provide additional information about each of the lines and are as follows: ATTRIBUTE NAME | CONTAINS NULLS RANK | No STATUS | No LABEL | Yes NOTES | Yes Neither the "RANK" nor "STATUS" fields contain null values; the "LABEL" and "NOTES" fields do. The "RANK" field is a numeric expression of the "STATUS" field. Combined with the line geometry, these fields encode the views of the United States Government on the political status of the boundary line. A value of “1” in the “RANK” field corresponds to an "International Boundary" value in the “STATUS” field. Values of ”2” and “3” correspond to “Other Line of International Separation” and “Special Line,” respectively. The “LABEL” field contains required text to describe the line segment on all finished cartographic products, including but not limited to print and interactive maps. The “NOTES” field contains an explanation of special circumstances modifying the lines. This information can pertain to the origins of the boundary lines, limitations regarding the purpose of the lines, or the original source of the line. Use of Core Attributes in Cartographic Visualization Several of the Core Attributes provide information required for the proper cartographic representation of the LSIB dataset. The cartographic usage of the LSIB requires a visual differentiation between the three categories of boundary lines. Specifically, this differentiation must be between: - International Boundaries (Rank 1); - Other Lines of International Separation (Rank 2); and - Special Lines (Rank 3). Rank 1 lines must be the most visually prominent. Rank 2 lines must be less visually prominent than Rank 1 lines. Rank 3 lines must be shown in a manner visually subordinate to Ranks 1 and 2. Where scale permits, Rank 2 and 3 lines must be labeled in accordance with the “Label” field. Data marked with a Rank 2 or 3 designation does not necessarily correspond to a disputed boundary. Please consult the style files in the download package for examples of this depiction. The requirement to incorporate the contents of the "LABEL" field on cartographic products is scale dependent. If a label is legible at the scale of a given static product, a proper use of this dataset would encourage the application of that label. Using the contents of the "COUNTRY1" and "COUNTRY2" fields in the generation of a line segment label is not required. The "STATUS" field contains the preferred description for the three LSIB line types when they are incorporated into a map legend but is otherwise not to be used for labeling. Use of the “CC1,” “CC1_GENC3,” “CC2,” “CC2_GENC3,” “RANK,” or “NOTES” fields for cartographic labeling purposes is prohibited. Extension Attributes Certain elements of the attributes within the LSIB dataset extend data functionality to make the data more interoperable or to provide clearer linkages to other datasets. The fields “CC1_GENC3” and “CC2_GENC” contain the corresponding three-character GENC code to the “CC1” and “CC2” attributes. The code “QX2” is the three-character counterpart of the code “Q2,” which denotes a line in the LSIB representing a boundary associated with a geographic area not contained within the GENC standard. To allow for linkage between individual lines in the LSIB and World Polygons dataset, the “CC1_WPID” and “CC2_WPID” fields contain a Universally Unique Identifier (UUID), version 4, which provides a stable description of each geographic entity in a boundary pair relationship. Each UUID corresponds to a geographic entity listed in the World Polygons dataset. These fields allow for linkage between individual lines in the LSIB and the overall World Polygons dataset. Five additional fields in the LSIB expand on the UUID concept and either describe features that have changed across space and time or indicate relationships between previous versions of the feature. The “LSIB_ID” attribute is a UUID value that defines a specific instance of a feature. Any change to the feature in a lineset requires a new “LSIB_ID.” The “ANTECIDS,” or antecedent ID, is a UUID that references line geometries from which a given line is descended in time. It is used when there is a feature that is entirely new, not when there is a new version of a previous feature. This is generally used to reference countries that have dissolved. The “PREVIDS,” or Previous ID, is a UUID field that contains old versions of a line. This is an additive field, that houses all Previous IDs. A new version of a feature is defined by any change to the feature—either line geometry or attribute—but it is still conceptually the same feature. The “PARENTID” field

  12. 2020 Cartographic Boundary File (SHP), Current Consolidated City for United...

    • catalog.data.gov
    • datasets.ai
    Updated Dec 14, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (SHP), Current Consolidated City for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-shp-current-consolidated-city-for-united-states-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://www.commerce.gov/
    Area covered
    United States
    Description

    The 2020 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. A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other incorporated places in the county or MCD continue to function as separate governments, even though they have been included in the consolidated government, the primary incorporated place is referred to as a consolidated city. The Census Bureau classifies the separately incorporated places within the consolidated city as place entities and creates a separate place (balance) record for the portion of the consolidated city not within any other place. The generalized boundaries of the consolidated cities in this file are based on those as of January 1, 2020, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  13. U

    United States Alloy Steel Product Imports: Structural Shapes Heavy

    • ceicdata.com
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    United States Alloy Steel Product Imports: Structural Shapes Heavy [Dataset]. https://www.ceicdata.com/en/united-states/steel-products-imports-alloy-steel-product-value/alloy-steel-product-imports-structural-shapes-heavy
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    United States
    Variables measured
    Merchandise Trade
    Description

    United States Alloy Steel Product Imports: Structural Shapes Heavy data was reported at 2,109.000 USD th in Jun 2018. This records a decrease from the previous number of 2,910.000 USD th for May 2018. United States Alloy Steel Product Imports: Structural Shapes Heavy data is updated monthly, averaging 4,207.000 USD th from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 11,659.000 USD th in Aug 2010 and a record low of 154.000 USD th in Aug 2009. United States Alloy Steel Product Imports: Structural Shapes Heavy data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.WA014: Steel Products Imports: Alloy Steel Product: Value.

  14. United States: Rolled Steel Shapes 2013-2024

    • app.indexbox.io
    Updated May 29, 2020
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    IndexBox AI Platform (2020). United States: Rolled Steel Shapes 2013-2024 [Dataset]. https://app.indexbox.io/table/n331221/840/
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    Dataset updated
    May 29, 2020
    Dataset provided by
    IndexBox
    Authors
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2013 - Dec 31, 2024
    Area covered
    United States
    Description

    Statistics illustrates consumption, production, prices, and trade of Rolled Steel Shapes in the United States from 2013 to 2024.

  15. laminated plastic plate, sheet, shape manufacturing revenue in the USA...

    • statista.com
    Updated Feb 27, 2025
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    Statista (2025). laminated plastic plate, sheet, shape manufacturing revenue in the USA 2010-2022 [Dataset]. https://www.statista.com/forecasts/409498/laminated-plastic-plate-sheet-shape-manufacturing-revenue-in-the-usa
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    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    United States
    Description

    This statistic shows the revenue of laminated plastic plate, sheet (except packaging), and shape manufacturing in the USA from 2010 to 2016, with a forecast to 2022. It is projected that the revenue of laminated plastic plate, sheet (except packaging), and shape manufacturing in the USA will amount to approximately 4,499 million U.S. dollars by 2022.This statistic was automatically created using the well-proven Statista forecast algorithm based on similarity parameters to existing analyst forecasts. The basis for the original forecasts is a combination of time series forecasts, driver forecasts (GDP, population etc.) from sources such as World Bank or the International Monetary Fund and business surveys.

  16. d

    2019 Cartographic Boundary Shapefile, Region for United States, 1:5,000,000

    • catalog.data.gov
    Updated Jan 15, 2021
    + more versions
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    (2021). 2019 Cartographic Boundary Shapefile, Region for United States, 1:5,000,000 [Dataset]. https://catalog.data.gov/dataset/2019-cartographic-boundary-shapefile-region-for-united-states-1-5000000
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    Dataset updated
    Jan 15, 2021
    Area covered
    United States
    Description

    The 2019 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. Regions are four groupings of states (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.

  17. Production of Rolled Steel Shape in the United States - 2025

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Feb 1, 2025
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    IndexBox Inc. (2025). Production of Rolled Steel Shape in the United States - 2025 [Dataset]. https://www.indexbox.io/search/production-rolled-steel-shape-the-united-states/
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    pdf, xlsx, doc, docx, xlsAvailable download formats
    Dataset updated
    Feb 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Feb 26, 2025
    Area covered
    United States
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Production of Rolled Steel Shape in the United States - 2025. Find the latest marketing data on the IndexBox platform.

  18. United States: Unlaminated Plastics Profile Shape 2013-2024

    • app.indexbox.io
    Updated May 29, 2020
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    IndexBox AI Platform (2020). United States: Unlaminated Plastics Profile Shape 2013-2024 [Dataset]. https://app.indexbox.io/table/n326121/840/
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    Dataset updated
    May 29, 2020
    Dataset provided by
    IndexBox
    Authors
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2013 - Dec 31, 2024
    Area covered
    United States
    Description

    Statistics illustrates consumption, production, prices, and trade of Unlaminated Plastics Profile Shape in the United States from 2013 to 2024.

  19. Seair Exim Solutions

    • seair.co.in
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    Seair Exim, Seair Exim Solutions [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  20. USA Lease Blocks

    • oceans-esrioceans.hub.arcgis.com
    Updated Aug 20, 2019
    + more versions
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    Esri (2019). USA Lease Blocks [Dataset]. https://oceans-esrioceans.hub.arcgis.com/maps/23414ea30f4246c18b0f9cb775c28f3b
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    Dataset updated
    Aug 20, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Outer Continental Shelf (OCS) lease blocks serve as the legal definition for US Department of Energy's Bureau of Ocean and Energy Management (BOEM) offshore boundary coordinates used to define small geographic areas within an Official Protraction Diagram (OPD) for leasing and administrative purposes. OCS blocks relate back to individual Official Protraction Diagrams and are not uniquely numbered. Only the most recently published paper or pdf versions of the Official Protraction Diagrams or Lease Maps or Supplemental Official OCS Block Diagrams (SOBD) should be used for official or legal purposes. The pdf maps can be found by going to the here and selecting the appropriate region of interest within the OPD/SOBD table. Outer Continental Shelf (OCS) Lease Blocks are subdivisions of US submerged lands, subsoil, and seabed generally beginning 3 nautical miles off the coastline (for most States) and extending to the edge of the Exclusive Economic Zone (EEZ) or even farther where the Continental Shelf Boundary extends beyond 200 nautical miles. Some OCS Lease Blocks may be leased by private entities for oil and/or gas mining rights. Dataset SummaryThe source data for this layer is from the BOEM website and is updated regularly. The features in this polygon layer contain attributes to describe each lease block. Polygons are clipped to the Planning Area Boundaries in ArcGIS shape file format for the BOEM Gulf of Mexico Region. OCS blocks are used to define small geographic areas within an Official Protraction Diagram (OPD) for leasing and administrative purposes. These blocks have been clipped along the Submerged Lands Act (SLA) boundary and along the Continental Shelf Boundaries. The BOEM cautions that the location of these features is to be considered approximate and are not an official record for the exact baseline coordinateLink to source metadataWhat can you do with this layer?This layer is a feature service, which means it can be used for visualization and analysis throughout the ArcGIS Platform. This layer is not editable.

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U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2022 Cartographic Boundary File (SHP), United States, 1:20,000,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-united-states-1-20000000
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2022 Cartographic Boundary File (SHP), United States, 1:20,000,000

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Dataset updated
Dec 14, 2023
Dataset provided by
United States Census Bureauhttp://census.gov/
Area covered
United States
Description

The 2022 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. 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.

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