6 datasets found
  1. o

    US State Boundaries

    • public.opendatasoft.com
    • data.wu.ac.at
    csv, excel, geojson +1
    Updated Jun 27, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). US State Boundaries [Dataset]. https://public.opendatasoft.com/explore/dataset/us-state-boundaries/
    Explore at:
    json, csv, geojson, excelAvailable 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

    This dataset represents States and equivalent entities, which are the primary governmental divisions of the United States. 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. In addition to the fifty States, the Census Bureau treats 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) as the statistical equivalents of States for the purpose of data presentation.

  2. W

    Rail Network

    • wifire-data.sdsc.edu
    csv, esri rest +6
    Updated Sep 13, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CA Governor's Office of Emergency Services (2019). Rail Network [Dataset]. https://wifire-data.sdsc.edu/dataset/rail-network
    Explore at:
    ogc wfs, kml, csv, ogc wms, html, geojson, zip, esri restAvailable download formats
    Dataset updated
    Sep 13, 2019
    Dataset provided by
    CA Governor's Office of Emergency Services
    Description

    The Rail Network is a comprehensive database of North America's railway system at 1:24,000 to 1:100,000 scale as of April 15, 2019. The data set covers all 50 States plus the District of Columbia.

  3. Z

    U.S. Maternal Vulnerability Index (MVI)

    • data.niaid.nih.gov
    Updated Nov 5, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Hammer, Bettina (2021). U.S. Maternal Vulnerability Index (MVI) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_5106514
    Explore at:
    Dataset updated
    Nov 5, 2021
    Dataset provided by
    Peter Smittenaar
    Downey, Jordan
    Valerio, Valerie C
    Staci Sutermaster
    Hammer, Bettina
    Nick Stewart
    Sgaier, Sema
    Description

    Please cite and use the updated US MVI Zenodo repository.

    Surgo Ventures' Maternal Vulnerability Index (MVI) ranks the U.S. states and counties on indicators measuring drivers of poor maternal health outcomes. Maternal vulnerability is assessed based on 43 drivers grouped into six themes: (1) Reproductive Healthcare, (2) Physical Health, (3) Mental Health and Substance Abuse, (4) General Healthcare, (5) Socioeconomic Determinants, and (6) Physical Environment. The MVI captures factors that put birthing people at increased risk of adverse outcomes during pregnancy that may lead to morbidities and/or death.

    Data files:

    mvi_data_dictionary.csv: Names and definitions of the variables in the data files

    mvi_county.csv: US MVI and six thematic scores for 3142 counties in the continental US and the District of Columbia

    mvi_state.csv: US MVI and six thematic scores for 50 states and the District of Columbia

    mvi_data_sources.csv: Data sources by indicator used to construct the Maternal Vulnerability Index

    mvi_raw_indicator_data_county: Indicator data for 3142 U.S. counties (excludes data that are not publicly available)

    mvi_raw_indicator_data_state.csv: Indicator data for 50 states and the District of Columbia (excludes data that are not publicly available)

  4. d

    Manufacturing Company Data | API | Dataset | CSV | JSON | 4,289,762...

    • datarade.ai
    .json, .csv
    Updated May 6, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    HitHorizons (2024). Manufacturing Company Data | API | Dataset | CSV | JSON | 4,289,762 Companies | 50 European Countries | Data Enrichment | Monthly Updated | GDPR [Dataset]. https://datarade.ai/data-products/hithorizons-manufacturing-company-data-api-csv-json-hithorizons
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    May 6, 2024
    Dataset authored and provided by
    HitHorizons
    Area covered
    Europe, Sweden, Guernsey, Isle of Man, Serbia, Czech Republic, Uzbekistan, Austria, Kazakhstan, Bosnia and Herzegovina, Ukraine
    Description

    HitHorizons Manufacturing Company Data API gives access to aggregated firmographic data on 4,289,762 manufacturing companies from the whole of Europe and beyond.

    Company registration data: company name national identifier and its type registered address: street, postal code, city, state / province, country business activity: SIC code, local activity code with classification system year of establishment company type location type

    Sales and number of employees data: sales in EUR, USD and local currency (with local currency code) total number of employees sales and number of employees accuracy local number of employees (in case of multiple branches) companies’ sales and number of employees market position compared to other companies in a country / industry / region

    Industry data: size of the whole industry size of all companies operating within a particular SIC code benchmarking within a particular country or industry regional benchmarking (EU 27, state / province)

    Contact details: company website company email domain (without person’s name)

    Invoicing details available for selected countries: company name company address company VAT number

  5. o

    US Colleges and Universities

    • public.opendatasoft.com
    • data.smartidf.services
    csv, excel, geojson +1
    Updated Jul 6, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). US Colleges and Universities [Dataset]. https://public.opendatasoft.com/explore/dataset/us-colleges-and-universities/
    Explore at:
    json, excel, geojson, csvAvailable download formats
    Dataset updated
    Jul 6, 2025
    License

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

    Area covered
    United States
    Description

    The Colleges and Universities feature class/shapefile is composed of all Post Secondary Education facilities as defined by the Integrated Post Secondary Education System (IPEDS, http://nces.ed.gov/ipeds/), National Center for Education Statistics (NCES, https://nces.ed.gov/), US Department of Education for the 2018-2019 school year. Included are Doctoral/Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical Schools and other health care professions, Schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges, and other specialized institutions. Overall, this data layer covers all 50 states, as well as Puerto Rico and other assorted U.S. territories. This feature class contains all MEDS/MEDS+ as approved by the National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the "Place Keyword" section of the metadata. This feature class does not have a relationship class but is related to Supplemental Colleges. Colleges and Universities that are not included in the NCES IPEDS data are added to the Supplemental Colleges feature class when found. This release includes the addition of 175 new records, the removal of 468 no longer reported by NCES, and modifications to the spatial location and/or attribution of 6682 records.

  6. Licensed Drivers by State, Sex, and Age Group, 1994 - 2023 (DL-22)

    • catalog.data.gov
    • data.transportation.gov
    Updated Jun 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Federal Highway Administration (2025). Licensed Drivers by State, Sex, and Age Group, 1994 - 2023 (DL-22) [Dataset]. https://catalog.data.gov/dataset/licensed-drivers-by-state-gender-and-age-group
    Explore at:
    Dataset updated
    Jun 11, 2025
    Dataset provided by
    Federal Highway Administrationhttps://highways.dot.gov/
    Description

    Annual State-reported licensed driver data from Highway Statistics for the 50 States and DC from Highway Statistics table DL-22.

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2017). US State Boundaries [Dataset]. https://public.opendatasoft.com/explore/dataset/us-state-boundaries/

US State Boundaries

Explore at:
331 scholarly articles cite this dataset (View in Google Scholar)
json, csv, geojson, excelAvailable 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

This dataset represents States and equivalent entities, which are the primary governmental divisions of the United States. 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. In addition to the fifty States, the Census Bureau treats 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) as the statistical equivalents of States for the purpose of data presentation.

Search
Clear search
Close search
Google apps
Main menu