95 datasets found
  1. BIA Tribes (5 of 5): Tribal Statistical Areas

    • s.cnmilf.com
    • datasets.ai
    • +1more
    Updated Feb 25, 2025
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    EPA Office of Information Management (Publisher) (2025). BIA Tribes (5 of 5): Tribal Statistical Areas [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/bia-tribes-5-of-5-tribal-statistical-areas7
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    In Oklahoma, historic depictions of the land areas representations, as described in 1867-1870, were developed and called Tribal Statistical Areas (TSA) in the AIAN-LAR. These areas are similar to the Bureau of Census Oklahoma Tribal Statistical Areas (OTSA) which are areas used for the collection, tabulation and presentation of decennial census data for the 36 Federally- recognized American Indian tribes located in the state. No legal inference can or should be made from the TSA information in the GIS dataset. Reservation boundary data is limited in authority to those areas where there has been settled Congressional definition or final judicial interpretation of the boundary. Absent settled Congressional definition or final judicial interpretation of a reservation boundary, the BIA recommends consultation with the appropriate tribe and then the BIA to obtain interpretations of the reservation boundary. This GIS Dataset is prepared strictly for illustrative and reference purposes only and should not be used, and is not intended for legal, survey, engineering or navigation purposes. No warranty is made by the Bureau of Indian Affairs (BIA) for the use of the data for purposes not intended by the BIA. This GIS Dataset may contain errors. There is no impact on the legal status of the land areas depicted herein and no impact on land ownership. No legal inference can or should be made from the information in this GIS Dataset. The GIS Dataset is to be used solely for illustrative, reference and statistical purposes and may be used for government to government Tribal consultation. Reservation boundary data is limited in authority to those areas where there has been settled Congressional definition or final judicial interpretation of the boundary. Absent settled Congressional definition or final judicial interpretation of a reservation boundary, the BIA recommends consultation with the appropriate Tribe and then the BIA to obtain interpretations of the reservation boundary. The land areas and their representations are compilations defined by the official land title records of the Bureau of Indian Affairs (BIA) which include treaties, statutes, Acts of Congress, agreements, executive orders, proclamations, deeds and other land title documents. The trust, restricted, and mixed ownership land area shown here, are suitable only for general spatial reference and do not represent the federal government’s position on the jurisdictional status of Indian country. Ownership and jurisdictional status is subject to change and must be verified with plat books, patents, and deeds in the appropriate federal and state offices. Included in this dataset are the exterior extent of off reservation trust, restricted fee tracts and mixed tracts of land including Public Domain allotments, Dependent Indian Communities, Homesteads and government administered lands and those set aside for schools and dormitories. There are also land areas where there is more than one tribe having an interest in or authority over a tract of land but this information is not specified in the AIAN-LAR dataset. The dataset includes both surface and subsurface tracts of land (tribal and individually held) “off reservation” tracts and not simply off reservation “allotments” as land has in many cases been subsequently acquired in trust. These data are public information and may be used by various organizations, agencies, units of government (i.e., Federal, state, county, and city), and other entities according to the restrictions on appropriate use. It is strongly recommended that these data be acquired directly from the BIA and not indirectly through some other source, which may have altered or integrated the data for another purpose for which they may not have been intended. Integrating land areas into another dataset and attempting to resolve boundary differences between other entities may produce inaccurate results. It is also strongly recommended that careful attention be paid to the content of the metadata file associated with these data. Users are cautioned that digital enlargement of these data to scales greater than those at which they were originally mapped can cause misinterpretation. The BIA AIAN-LAR dataset’s spatial accuracy and attribute information are continuously being updated, improved and is used as the single authoritative land area boundary data for the BIA mission. These data are available through the Bureau of Indian Affairs, Office of Trust Services, Division of Land Titles and Records, Branch of Geospatial Support.

  2. TIGER/Line Shapefile, 2022, Nation, U.S., Coastline

    • 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., Coastline [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-nation-u-s-coastline
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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. The Coastline Shapefile includes all features within the MTDB Class "Coastline" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB is L4150. The coastline included in this shapefile was delineated by the Census Bureau in the MAF/TIGER database based on water measurement class for display of statistical information only; its depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and it is not a legal land description. This shapefile should be used for data presentation purposes only. It is not the official source for the coastline feature. The name assigned to each Coastline feature is a short form of the name of the large body of water bordered by this Coastline feature.

  3. T

    NIJ's Recidivism Challenge Test Dataset2

    • data.ojp.usdoj.gov
    application/rdfxml +5
    Updated Jun 1, 2021
    + more versions
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    Georgia Department of Community of Supervision, Georgia Crime Information Center (2021). NIJ's Recidivism Challenge Test Dataset2 [Dataset]. https://data.ojp.usdoj.gov/w/pkdv-cwks/36uc-ksii?cur=C3OBzT56SPp&from=tq4DBb9BTCR
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    csv, application/rdfxml, xml, tsv, application/rssxml, jsonAvailable download formats
    Dataset updated
    Jun 1, 2021
    Dataset authored and provided by
    Georgia Department of Community of Supervision, Georgia Crime Information Center
    Description

    Terms of Use

    Please read the terms of use below.

    The National Institute of Justice (NIJ) adheres to codes of conduct that are generally accepted in higher education and scientific research for the exchange and proper use of knowledge and information.

    These data are distributed under the following terms of use. By continuing past this point to the data retrieval process, you signify your agreement to comply with the requirements stated below:

    Privacy and Confidentiality of Data

    Any intentional identification of a individuals or unauthorized disclosure of his or her confidential information violates the promise of confidentiality given to the providers of the information. Therefore, users of data agree:

    • To use these datasets solely for research or statistical purposes and not for investigation of specific individuals • To make no use of the identity of any individual discovered inadvertently, and to advise NIJ of any such discovery (NIJRecidivismChallenge@usdoj.gov)

    Federal law and regulations require that research data collected by the U.S. Department of Justice or by its grantees and contractors may only be used for research or statistical purposes. The applicable laws and regulations may be found in the United States Code, 34 USC Section 10231(a), the Code of Federal Regulations, 28 CFR 22, and 62 F.R. 35044 (June 27, 1997) (The Federal Confidentiality Order). Accordingly, any intentional identification or disclosure of a person or establishment may violate federal law as well as the assurances of confidentiality given to the providers of the information. Therefore, users of this data must agree to abide by these regulations and understand that NIJ may report any potential violation to the appropriate entities within the U.S. Department of Justice.

  4. g

    Population, Households and Housing census 2021 | gimi9.com

    • gimi9.com
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    Population, Households and Housing census 2021 | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_005ef965-6254-4ef3-82ba-ad918021ef88
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The census of population, households and dwellings in the Republic of Croatia in 2021 was conducted in the period from 13 September to 14 November 2021, according to the situation on 31 August 2021 at 24:00, which is considered a critical moment of the Census. Census data are used exclusively for statistical purposes and are presented exclusively in aggregate (aggregated) form at the level of the Republic of Croatia, statistical regions of the 2nd level, counties, cities/municipalities and settlements. Population data were published by age (age groups 0-14, 15-64, 65 and above) and sex (total, men, women). In addition, these data were also published at the network level 1 000 m. When protecting the aggregated data of the 2021 Census at population network level of 1x1 km² (‘D’ – protected), the minimum number of units rule applies, protecting aggregated data relating to less than 4 statistical units. In the event that confidential protected information can be calculated on the basis of other data, that information shall also be protected in order to ensure secondary confidentiality.

  5. a

    NTIA Tribal Map Package

    • hub.arcgis.com
    • home-nbam.hub.arcgis.com
    Updated Jan 22, 2025
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    NBAM_Org (2025). NTIA Tribal Map Package [Dataset]. https://hub.arcgis.com/content/5781bad5cbf940e19f3b42d793b6d311
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    NBAM_Org
    Area covered
    Description

    This map package includes the official Tribal areas that NTIA recognizes for their grant programs. The map package includes the following layers. Alaska Native Villages - this layer represents Alaska Native Villages and is created by Census. The layer was downloaded on Jan. 28, 2025, from here: TIGER/Line® Shapefiles.Native Hawaiian Areas - this layer represents Native Hawaiian Areas and is created by Census. The layer was downloaded on Jan. 28, 2025, from here: TIGER/Line® Shapefiles and has been filtered to only include Native Hawaiian Areas. BIA AIAN National LAR - this layer represents American Indian Lands and is created by the BIA. The layer was accessed here: BIA Access Open Data and was exported on Jan. 28, 2025. The layer was filtered to only include lands across the continental U.S. BIA AIAN LAR Supplemental - this layer is a supplemental dataset to the LAR. The layer was accessed here: BIA Access Open Data and was exported on Jan. 28, 2025.BIA AIAN Tribal Statistical Areas - this layer represents Tribal Statistical Areas located in Oklahoma. The layer was accessed here: BIA Access Open Data and was exported on Jan. 28, 2025.This map package was created on Jan. 28, 2025 and was created using ArcGIS Pro 3.4.0. If you have any questions regarding the map package please e-mail NTIAanalytics@ntia.gov.ResourcesCensus DataBIA Open DataBIA Data DisclaimerBy using this product, the user agrees to the below terms and conditions:No warranty is made by the Bureau of Indian Affairs (BIA) for the use of the data for purposes not intended by the BIA. This GIS Dataset may contain errors. There is no impact on the legal status of the land areas depicted herein and no impact on land ownership. No legal inference can or should be made from the information in this GIS Dataset. The GIS Dataset is prepared strictly for illustrative and reference purposes only and should not be used, and is not intended for legal, survey, engineering or navigation purposes. These data have been developed from the best available sources. Although efforts have been made to ensure that the data are accurate and reliable, errors and variable conditions originating from source documents and/or the translation of information from source documents to the systems of record continue to exist. Users must be aware of these conditions and bear responsibility for the appropriate use of the information with respect to possible errors, scale, resolution, rectification, positional accuracy, development methodology, time period, environmental and climatic conditions and other circumstances specific to these data. The user is responsible for understanding the accuracy limitations of the data provided herein. The burden for determining fitness for use lies entirely with the user. The user should refer to the accompanying metadata notes for a description of the data and data development procedures.Census Use RestraintsThe TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source. The boundary information in the TIGER/Line Shapefiles are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions. Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.

  6. BIA Tribes (3 of 5): National Land Area Representation

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Feb 25, 2025
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    EPA Office of Information Management (Publisher) (2025). BIA Tribes (3 of 5): National Land Area Representation [Dataset]. https://catalog.data.gov/dataset/bia-tribes-3-of-5-national-land-area-representation7
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    The purpose of the American Indian and Alaska Native Land Area Representation (AIAN-LAR) Geographic Information System (GIS) dataset is to depict the external extent of federal Indian reservations and the external extent of associated land held in “trust” by the United States, “restricted fee” or “mixed ownership” status for federally recognized tribes and individual Indians. This dataset includes other land area types such as Public Domain Allotments, Dependent Indian Communities and Homesteads. This GIS Dataset is prepared strictly for illustrative and reference purposes only and should not be used, and is not intended for legal, survey, engineering or navigation purposes. No warranty is made by the Bureau of Indian Affairs (BIA) for the use of the data for purposes not intended by the BIA. This GIS Dataset may contain errors. There is no impact on the legal status of the land areas depicted herein and no impact on land ownership. No legal inference can or should be made from the information in this GIS Dataset. The GIS Dataset is to be used solely for illustrative, reference and statistical purposes and may be used for government to government Tribal consultation. Reservation boundary data is limited in authority to those areas where there has been settled Congressional definition or final judicial interpretation of the boundary. Absent settled Congressional definition or final judicial interpretation of a reservation boundary, the BIA recommends consultation with the appropriate Tribe and then the BIA to obtain interpretations of the reservation boundary. The land areas and their representations are compilations defined by the official land title records of the Bureau of Indian Affairs (BIA) which include treaties, statutes, Acts of Congress, agreements, executive orders, proclamations, deeds and other land title documents. The trust, restricted, and mixed ownership land area shown here, are suitable only for general spatial reference and do not represent the federal government’s position on the jurisdictional status of Indian country. Ownership and jurisdictional status is subject to change and must be verified with plat books, patents, and deeds in the appropriate federal and state offices. Included in this dataset are the exterior extent of off reservation trust, restricted fee tracts and mixed tracts of land including Public Domain allotments, Dependent Indian Communities, Homesteads and government administered lands and those set aside for schools and dormitories. There are also land areas where there is more than one tribe having an interest in or authority over a tract of land but this information is not specified in the AIAN-LAR dataset. The dataset includes both surface and subsurface tracts of land (tribal and individually held) “off reservation” tracts and not simply off reservation “allotments” as land has in many cases been subsequently acquired in trust. These data are public information and may be used by various organizations, agencies, units of government (i.e., Federal, state, county, and city), and other entities according to the restrictions on appropriate use. It is strongly recommended that these data be acquired directly from the BIA and not indirectly through some other source, which may have altered or integrated the data for another purpose for which they may not have been intended. Integrating land areas into another dataset and attempting to resolve boundary differences between other entities may produce inaccurate results. It is also strongly recommended that careful attention be paid to the content of the metadata file associated with these data. Users are cautioned that digital enlargement of these data to scales greater than those at which they were originally mapped can cause misinterpretation. The BIA AIAN-LAR dataset’s spatial accuracy and attribute information are continuously being updated, improved and is used as the single authoritative land area boundary data for the BIA mission. These data are available through the Bureau of Indian Affairs, Office of Trust Services, Division of Land Titles and Records, Branch of Geospatial Support.

  7. 2022 Cartographic Boundary File (SHP), Current County and Equivalent for...

    • s.cnmilf.com
    • datasets.ai
    • +1more
    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), Current County and Equivalent for United States, 1:20,000,000 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-current-county-and-equivalent-for-united-states-1-20000000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    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. 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 generalized boundaries for counties and equivalent entities are based on those as of January 1, 2022, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  8. c

    Quarterly Census of Employment and Wages (QCEW)

    • s.cnmilf.com
    • data.ca.gov
    • +1more
    Updated Nov 27, 2024
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    California Employment Development Department (2024). Quarterly Census of Employment and Wages (QCEW) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-qcew-a6fea
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Employment Development Department
    Description

    The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

  9. g

    2023 Cartographic Boundary File (KML), County and Equivalent for United...

    • gimi9.com
    • s.cnmilf.com
    • +1more
    + more versions
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    2023 Cartographic Boundary File (KML), County and Equivalent for United States, 1:500,000 [Dataset]. https://gimi9.com/dataset/data-gov_2023-cartographic-boundary-file-kml-county-and-equivalent-for-united-states-1-500000/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    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. 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 generalized boundaries for counties and equivalent entities are based on those as of January 1, 2023, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  10. National Death Index

    • healthdata.gov
    • data.virginia.gov
    • +2more
    application/rdfxml +5
    Updated Feb 13, 2021
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    (2021). National Death Index [Dataset]. https://healthdata.gov/w/ta9n-3c8q/default?cur=fn4FBRcgpkA
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    tsv, xml, json, application/rssxml, application/rdfxml, csvAvailable download formats
    Dataset updated
    Feb 13, 2021
    Description

    The National Death Index (NDI) is a centralized database of death record information on file in state vital statistics offices. Working with these state offices, the National Center for Health Statistics (NCHS) established the NDI as a resource to aid epidemiologists and other health and medical investigators with their mortality ascertainment activities.

    Assists investigators in determining whether persons in their studies have died and, if so, provide the names of the states in which those deaths occurred, the dates of death, and the corresponding death certificate numbers. Investigators can then make arrangements with the appropriate state offices to obtain copies of death certificates or specific statistical information such as manner of death or educational level. Cause of death codes may also be obtained using the NDI Plus service.

    Records from 1979 through 2011 are currently available and contain a standard set of identifying information on each death. Death records are added to the NDI file annually, approximately 12 months after the end of a particular calendar year. 2012 should be available summer 2014. Early Release Program for 2013 is now available.

    The NDI service is available to investigators solely for statistical purposes in medical and health research. The service is not accessible to organizations or the general public for legal, administrative, or genealogy purposes.

  11. d

    TIGER Roads 2017.

    • datadiscoverystudio.org
    • data.amerigeoss.org
    • +1more
    csv, html, xml
    Updated Apr 11, 2018
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    (2018). TIGER Roads 2017. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/05be4d9b3ab34bb5a487a55e61d08441/html
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    xml, csv, htmlAvailable download formats
    Dataset updated
    Apr 11, 2018
    Description

    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).

    Constraints:
    Not to be used for navigation, for informational purposes only. See full disclaimer for more information.

    No warranty, expressed or implied is made with regard to the accuracy of these data, and no liability is assumed by the U.S. Government in general or the U.S. Census Bureau in specific as to the spatial or attribute accuracy of the data. The act of distribution shall not constitute any such warranty and no responsibility is assumed by the U.S. government in the use of these files. The boundary information in the TIGER/Line Shapefiles is for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes do not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions.

    ; abstract:

    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).

    Constraints:
    Not to be used for navigation, for informational purposes only. See full disclaimer for more information.

    No warranty, expressed or implied is made with regard to the accuracy of these data, and no liability is assumed by the U.S. Government in general or the U.S. Census Bureau in specific as to the spatial or attribute accuracy of the data. The act of distribution shall not constitute any such warranty and no responsibility is assumed by the U.S. government in the use of these files. The boundary information in the TIGER/Line Shapefiles is for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes do not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions.

  12. TIGER Road Network

    • search.dataone.org
    Updated Oct 14, 2013
    + more versions
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne (2013). TIGER Road Network [Dataset]. https://search.dataone.org/view/knb-lter-bes.86.570
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    Dataset updated
    Oct 14, 2013
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne
    Time period covered
    Jan 1, 2004 - Nov 17, 2011
    Area covered
    Description

    TIGER road data for the MSA. When compared to high-resolution imagery and other transportation datasets positional inaccuracies were observed. As a result caution should be taken when using this dataset. TIGER, TIGER/Line, and Census TIGER are registered trademarks of the U.S. Census Bureau. ZCTA is a trademark of the U.S. Census Bureau. The Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States, Puerto Rico, and the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The boundary information in the TIGER/Line files are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement. The Census 2000 TIGER/Line files do NOT contain the Census 2000 urban areas which have not yet been delineated. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

  13. T

    NIJ's Recidivism Challenge Test Dataset3

    • data.ojp.usdoj.gov
    application/rdfxml +5
    Updated Jun 16, 2021
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    Georgia Department of Community of Supervision, Georgia Crime Information Center (2021). NIJ's Recidivism Challenge Test Dataset3 [Dataset]. https://data.ojp.usdoj.gov/w/c8pf-ybds/36uc-ksii?cur=72ali08Frbv&from=cIyfC8ZiaGN
    Explore at:
    tsv, application/rdfxml, json, application/rssxml, csv, xmlAvailable download formats
    Dataset updated
    Jun 16, 2021
    Dataset authored and provided by
    Georgia Department of Community of Supervision, Georgia Crime Information Center
    Description

    Terms of Use

    Please read the terms of use below.

    The National Institute of Justice (NIJ) adheres to codes of conduct that are generally accepted in higher education and scientific research for the exchange and proper use of knowledge and information.

    These data are distributed under the following terms of use. By continuing past this point to the data retrieval process, you signify your agreement to comply with the requirements stated below:

    Privacy and Confidentiality of Data

    Any intentional identification of a individuals or unauthorized disclosure of his or her confidential information violates the promise of confidentiality given to the providers of the information. Therefore, users of data agree:

    • To use these datasets solely for research or statistical purposes and not for investigation of specific individuals • To make no use of the identity of any individual discovered inadvertently, and to advise NIJ of any such discovery (NIJRecidivismChallenge@usdoj.gov)

    Federal law and regulations require that research data collected by the U.S. Department of Justice or by its grantees and contractors may only be used for research or statistical purposes. The applicable laws and regulations may be found in the United States Code, 34 USC Section 10231(a), the Code of Federal Regulations, 28 CFR 22, and 62 F.R. 35044 (June 27, 1997) (The Federal Confidentiality Order). Accordingly, any intentional identification or disclosure of a person or establishment may violate federal law as well as the assurances of confidentiality given to the providers of the information. Therefore, users of this data must agree to abide by these regulations and understand that NIJ may report any potential violation to the appropriate entities within the U.S. Department of Justice.

  14. c

    US Domestic Sovereign Nations: Land Areas of Federally-Recognized Tribes...

    • conservation.gov
    • datalibrary-lnr.hub.arcgis.com
    Updated Dec 22, 2022
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    atlas_data (2022). US Domestic Sovereign Nations: Land Areas of Federally-Recognized Tribes (BIA) [Dataset]. https://www.conservation.gov/items/245ffcb63a0b44cb9ed467bbd5f9d7ea
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    Dataset updated
    Dec 22, 2022
    Dataset authored and provided by
    atlas_data
    Area covered
    Description

    This GIS Dataset is prepared strictly for illustrative and reference purposes only and should not be used, and is not intended for legal, survey, engineering or navigation purposes.No warranty is made by the Bureau of Indian Affairs (BIA) for the use of the data for purposes not intended by the BIA. This GIS Dataset may contain errors. There is no impact on the legal status of the land areas depicted herein and no impact on land ownership. No legal inference can or should be made from the information in this GIS Dataset. The GIS Dataset is to be used solely for illustrative, reference and statistical purposes and may be used for government to government Tribal consultation. Reservation boundary data is limited in authority to those areas where there has been settled Congressional definition or final judicial interpretation of the boundary. Absent settled Congressional definition or final judicial interpretation of a reservation boundary, the BIA recommends consultation with the appropriate Tribe and then the BIA to obtain interpretations of the reservation boundary.The land areas and their representations are compilations defined by the official land title records of the Bureau of Indian Affairs (BIA) which include treaties, statutes, Acts of Congress, agreements, executive orders, proclamations, deeds and other land title documents. The trust, restricted, and mixed ownership land area shown here, are suitable only for general spatial reference and do not represent the federal government’s position on the jurisdictional status of Indian country. Ownership and jurisdictional status is subject to change and must be verified with plat books, patents, and deeds in the appropriate federal and state offices.Included in this dataset are the exterior extent of off reservation trust, restricted fee tracts and mixed tracts of land including Public Domain allotments, Dependent Indian Communities, Homesteads and government administered lands and those set aside for schools and dormitories. There are also land areas where there is more than one tribe having an interest in or authority over a tract of land but this information is not specified in the AIAN-LAR dataset. The dataset includes both surface and subsurface tracts of land (tribal and individually held) “off reservation” tracts and not simply off reservation “allotments” as land has in many cases been subsequently acquired in trust.These data are public information and may be used by various organizations, agencies, units of government (i.e., Federal, state, county, and city), and other entities according to the restrictions on appropriate use. It is strongly recommended that these data be acquired directly from the BIA and not indirectly through some other source, which may have altered or integrated the data for another purpose for which they may not have been intended. Integrating land areas into another dataset and attempting to resolve boundary differences between other entities may produce inaccurate results. It is also strongly recommended that careful attention be paid to the content of the metadata file associated with these data. Users are cautioned that digital enlargement of these data to scales greater than those at which they were originally mapped can cause misinterpretation.The BIA AIAN-LAR dataset’s spatial accuracy and attribute information are continuously being updated, improved and is used as the single authoritative land area boundary data for the BIA mission. These data are available through the Bureau of Indian Affairs, Office of Trust Services, Division of Land Titles and Records, Branch of Geospatial Support.These data have been made publicly available from an authoritative source other than this Atlas and data should be obtained directly from that source for any re-use. See the original metadata from the authoritative source for more information about these data and use limitations. The authoritative source of these data can be found at the following location: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2021.html#list-tab-790442341The BIA Indian Lands dataset’s spatial accuracy and attribute information are continuously being updated, improved and is used as the single authoritative land area boundary data for the BIA mission. This data are available through the Bureau of Indian Affairs, Office of Trust Services, Division of Land Titles and Records, Branch of Geospatial Support. Please feel free to contact us at 1-877-293-9494 geospatial@bia.gov

  15. C

    Service - Administrative Limits (current and historical)

    • ckan.mobidatalab.eu
    wms
    Updated May 2, 2023
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    GeoDatiGovIt RNDT (2023). Service - Administrative Limits (current and historical) [Dataset]. https://ckan.mobidatalab.eu/dataset/current-and-historical-administrative-limits-service
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    wmsAvailable download formats
    Dataset updated
    May 2, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Description

    Istat releases the boundaries of administrative units for statistical purposes; they consist of three hierarchical levels (regions, provinces and municipalities). The reference system is WGS84. The scale cannot be uniformly certified by Istat, since the acquisition bases used (mainly aerial photos and other cartography) come from different sources and scales, which vary between urban and extra-urban areas. The administrative boundaries updated on 1 January are available in this network service in a generalized version. The data disclosed are in a uniform format for each information layer and with references to 1 January of the current year; all yearly data since 2002 of administrative unit boundaries are available for statistical purposes. The only temporal exceptions concern data from the census years (1991, 2001, 2011) released on the date of the census.

  16. 2020 Cartographic Boundary File (SHP), Current County and Equivalent for...

    • s.cnmilf.com
    • datasets.ai
    • +1more
    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 County and Equivalent for United States, 1:500,000 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2020-cartographic-boundary-file-shp-current-county-and-equivalent-for-united-states-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    United States Census Bureauhttp://census.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. 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 generalized boundaries for counties and equivalent entities are based on those as of January 1, 2020, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  17. TIGER/Line Shapefile, 2023, Nation, U.S., Coastline

    • catalog.data.gov
    • datasets.ai
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, 2023, Nation, U.S., Coastline [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-nation-u-s-coastline
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    Dataset updated
    Dec 15, 2023
    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. The Coastline Shapefile includes all features within the MTDB Class "Coastline" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB is L4150. The coastline included in this shapefile was delineated by the Census Bureau in the MAF/TIGER database based on water measurement class for display of statistical information only; its depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and it is not a legal land description. This shapefile should be used for data presentation purposes only. It is not the official source for the coastline feature. The name assigned to each Coastline feature is a short form of the name of the large body of water bordered by this Coastline feature.

  18. W

    Series Information File for the 2015 Cartographic Boundary File, Urban...

    • cloud.csiss.gmu.edu
    • s.cnmilf.com
    • +2more
    html, xml
    Updated Mar 7, 2021
    + more versions
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    United States (2021). Series Information File for the 2015 Cartographic Boundary File, Urban Area-State-County , 1:500,000 [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/series-information-file-for-the-2015-cartographic-boundary-file-urban-area-state-county-1-500001
    Explore at:
    html, xmlAvailable download formats
    Dataset updated
    Mar 7, 2021
    Dataset provided by
    United States
    Description

    The 2015 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.

    The records in this file allow users to map the parts of Urban Areas that overlap a particular county.

    After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.

    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, 2010.

  19. g

    Population aged 16 and over in the Basque Country by level of education...

    • gimi9.com
    Updated Dec 22, 2024
    + more versions
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    (2024). Population aged 16 and over in the Basque Country by level of education (CNED-A 9 levels) and age, according to sex. | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_4dfb2148cb1f995cd12793be96fa73e9201df62d/
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    Dataset updated
    Dec 22, 2024
    License

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

    Area covered
    Basque Country
    Description

    The Municipal Education Statistics aims to know the educational level of the population. Its realisation is exclusively contemplated with the use of administrative information from internal and external sources, without direct collection of information. The starting point is the internal statistical sources of the Population and Housing Statistics (EPV) and the Municipal Statistics of Inhabitants (EMH). It also uses other external administrative sources, in the educational field, of the Administration of the Basque Country and the Central Administration, which provide files of administrative records on the level of studies and degrees. The Municipal Education Statistics aims to know the educational level of the population. Its realisation is exclusively contemplated with the use of administrative information from internal and external sources, without direct collection of information. The starting point is the internal statistical sources of the Population and Housing Statistics (EPV) and the Municipal Statistics of Inhabitants (EMH). It also uses other external administrative sources, in the educational field, of the Administration of the Basque Country and the Central Administration, which provide files of administrative records on the level of studies and degrees. The Municipal Education Statistics aims to know the educational level of the population. Its realisation is exclusively contemplated with the use of administrative information from internal and external sources, without direct collection of information. The starting point is the internal statistical sources of the Population and Housing Statistics (EPV) and the Municipal Statistics of Inhabitants (EMH). It also uses other external administrative sources, in the educational field, of the Administration of the Basque Country and the Central Administration, which provide files of administrative records on the level of studies and degrees.

  20. Japan Vital Statistics: Japanese Only: Deaths

    • ceicdata.com
    Updated Nov 15, 2017
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    CEICdata.com (2017). Japan Vital Statistics: Japanese Only: Deaths [Dataset]. https://www.ceicdata.com/en/japan/vital-statistics/vital-statistics-japanese-only-deaths
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    Dataset updated
    Nov 15, 2017
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2016 - Nov 1, 2017
    Area covered
    Japan
    Variables measured
    Vital Statistics
    Description

    Vital Statistics: Japanese Only: Deaths data was reported at 106,271.000 Person in Jul 2018. This records an increase from the previous number of 98,435.000 Person for Jun 2018. Vital Statistics: Japanese Only: Deaths data is updated monthly, averaging 91,609.000 Person from Jan 1994 (Median) to Jul 2018, with 295 observations. The data reached an all-time high of 135,504.000 Person in Jan 2018 and a record low of 64,002.000 Person in Jun 1994. Vital Statistics: Japanese Only: Deaths data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Global Database’s Japan – Table JP.G005: Vital Statistics.

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EPA Office of Information Management (Publisher) (2025). BIA Tribes (5 of 5): Tribal Statistical Areas [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/bia-tribes-5-of-5-tribal-statistical-areas7
Organization logo

BIA Tribes (5 of 5): Tribal Statistical Areas

Explore at:
Dataset updated
Feb 25, 2025
Dataset provided by
United States Environmental Protection Agencyhttp://www.epa.gov/
Description

In Oklahoma, historic depictions of the land areas representations, as described in 1867-1870, were developed and called Tribal Statistical Areas (TSA) in the AIAN-LAR. These areas are similar to the Bureau of Census Oklahoma Tribal Statistical Areas (OTSA) which are areas used for the collection, tabulation and presentation of decennial census data for the 36 Federally- recognized American Indian tribes located in the state. No legal inference can or should be made from the TSA information in the GIS dataset. Reservation boundary data is limited in authority to those areas where there has been settled Congressional definition or final judicial interpretation of the boundary. Absent settled Congressional definition or final judicial interpretation of a reservation boundary, the BIA recommends consultation with the appropriate tribe and then the BIA to obtain interpretations of the reservation boundary. This GIS Dataset is prepared strictly for illustrative and reference purposes only and should not be used, and is not intended for legal, survey, engineering or navigation purposes. No warranty is made by the Bureau of Indian Affairs (BIA) for the use of the data for purposes not intended by the BIA. This GIS Dataset may contain errors. There is no impact on the legal status of the land areas depicted herein and no impact on land ownership. No legal inference can or should be made from the information in this GIS Dataset. The GIS Dataset is to be used solely for illustrative, reference and statistical purposes and may be used for government to government Tribal consultation. Reservation boundary data is limited in authority to those areas where there has been settled Congressional definition or final judicial interpretation of the boundary. Absent settled Congressional definition or final judicial interpretation of a reservation boundary, the BIA recommends consultation with the appropriate Tribe and then the BIA to obtain interpretations of the reservation boundary. The land areas and their representations are compilations defined by the official land title records of the Bureau of Indian Affairs (BIA) which include treaties, statutes, Acts of Congress, agreements, executive orders, proclamations, deeds and other land title documents. The trust, restricted, and mixed ownership land area shown here, are suitable only for general spatial reference and do not represent the federal government’s position on the jurisdictional status of Indian country. Ownership and jurisdictional status is subject to change and must be verified with plat books, patents, and deeds in the appropriate federal and state offices. Included in this dataset are the exterior extent of off reservation trust, restricted fee tracts and mixed tracts of land including Public Domain allotments, Dependent Indian Communities, Homesteads and government administered lands and those set aside for schools and dormitories. There are also land areas where there is more than one tribe having an interest in or authority over a tract of land but this information is not specified in the AIAN-LAR dataset. The dataset includes both surface and subsurface tracts of land (tribal and individually held) “off reservation” tracts and not simply off reservation “allotments” as land has in many cases been subsequently acquired in trust. These data are public information and may be used by various organizations, agencies, units of government (i.e., Federal, state, county, and city), and other entities according to the restrictions on appropriate use. It is strongly recommended that these data be acquired directly from the BIA and not indirectly through some other source, which may have altered or integrated the data for another purpose for which they may not have been intended. Integrating land areas into another dataset and attempting to resolve boundary differences between other entities may produce inaccurate results. It is also strongly recommended that careful attention be paid to the content of the metadata file associated with these data. Users are cautioned that digital enlargement of these data to scales greater than those at which they were originally mapped can cause misinterpretation. The BIA AIAN-LAR dataset’s spatial accuracy and attribute information are continuously being updated, improved and is used as the single authoritative land area boundary data for the BIA mission. These data are available through the Bureau of Indian Affairs, Office of Trust Services, Division of Land Titles and Records, Branch of Geospatial Support.

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