100+ datasets found
  1. d

    Major US Open Data Domains

    • catalog.data.gov
    • data.kingcounty.gov
    Updated Feb 2, 2024
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    data.kingcounty.gov (2024). Major US Open Data Domains [Dataset]. https://catalog.data.gov/dataset/major-us-open-data-domains
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    Dataset updated
    Feb 2, 2024
    Dataset provided by
    data.kingcounty.gov
    Area covered
    United States
    Description

    An incomplete collection of open data domains throughout the U.S. (intended for comparison with King County open data)

  2. Data from: Berry Slave Value Database, 10 U.S. States, 1797-1865

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Jul 3, 2018
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    Berry, Daina Ramey (2018). Berry Slave Value Database, 10 U.S. States, 1797-1865 [Dataset]. http://doi.org/10.3886/ICPSR37099.v1
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    stata, r, spss, sas, delimited, asciiAvailable download formats
    Dataset updated
    Jul 3, 2018
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Berry, Daina Ramey
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/37099/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37099/terms

    Time period covered
    1797 - 1865
    Area covered
    Alabama, Maryland, Texas, Louisiana, Georgia, Tennessee, Virginia, South Carolina, North Carolina, United States
    Description

    This study uses historical records from 36 archives in the United States to analyze 8,437 enslaved people's sale and/or appraisal prices from 1797 to 1865.

  3. U

    United States US: GDP: Growth: Gross Value Added: Services

    • ceicdata.com
    Updated Mar 15, 2009
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    CEICdata.com (2009). United States US: GDP: Growth: Gross Value Added: Services [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-annual-growth-rate/us-gdp-growth-gross-value-added-services
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    Dataset updated
    Mar 15, 2009
    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
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

  4. d

    Digital data set describing surficial geology in the conterminous US

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Aug 15, 2025
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    U.S. Geological Survey (2025). Digital data set describing surficial geology in the conterminous US [Dataset]. https://catalog.data.gov/dataset/digital-data-set-describing-surficial-geology-in-the-conterminous-us
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    Dataset updated
    Aug 15, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Contiguous United States, United States
    Description

    This digital data set describes surficial geology of the conterminous United States. The data set was generated from a U.S. Geological Survey 1:7,500,000-scale map of surficial geology published as part of the U.S. Geological Survey National Atlas map series.

  5. USAFacts US Coronavirus Database

    • console.cloud.google.com
    Updated Oct 22, 2020
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    https://console.cloud.google.com/marketplace/browse?filter=partner:USAFacts&inv=1&invt=Ab5QHw (2020). USAFacts US Coronavirus Database [Dataset]. https://console.cloud.google.com/marketplace/product/usafacts-public-data/covid19-us-cases
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    Dataset updated
    Oct 22, 2020
    Dataset provided by
    Googlehttp://google.com/
    USAFactshttps://usafacts.org/
    License

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

    Area covered
    United States
    Description

    This data from USAFacts provides US COVID-19 case and death counts by state and county. This data is sourced from the CDC, and state and local health agencies. For more information, see the USAFacts site on the Coronavirus. Interactive data visualizations are also available via USAFacts. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery . This dataset has significant public interest in light of the COVID-19 crisis. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to the normal billing rate.

  6. US States Demographic Data

    • data-dathere.dataops.dathere.com
    • data.dathere.com
    csv
    Updated May 15, 2024
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    US Census Bureau (2024). US States Demographic Data [Dataset]. https://data-dathere.dataops.dathere.com/am/dataset/demographic
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    csv(36971), csv(185009), csv(22734), csv(84900), csv(76043), csv(445999), csv(446176), csv(19353), csv(111744)Available download formats
    Dataset updated
    May 15, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    United States
    Description

    Detailed age demographics of the population

  7. H

    Data from: US Post Offices

    • dataverse.harvard.edu
    Updated Mar 30, 2021
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    Cameron Blevins; Richard W. Helbock (2021). US Post Offices [Dataset]. http://doi.org/10.7910/DVN/NUKCNA
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 30, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    Cameron Blevins; Richard W. Helbock
    License

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

    Time period covered
    1639 - 2000
    Description

    Historical and spatial dataset of 166,140 post offices that operated in the United States between 1639-2000. Richard Helbock collected historical information about post offices and Cameron Blevins processed these records to geocode them. For more information about the dataset and its creation see: US Post Offices. The project's Github repository contains the code used to geocode post office records.

  8. U

    United States US: Number of Births

    • ceicdata.com
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    CEICdata.com, United States US: Number of Births [Dataset]. https://www.ceicdata.com/en/united-states/demographic-projection/us-number-of-births
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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
    Jun 1, 2039 - Jun 1, 2050
    Area covered
    United States
    Variables measured
    Population
    Description

    United States US: Number of Births data was reported at 4,413,478.000 Person in 2050. This records an increase from the previous number of 4,397,629.000 Person for 2049. United States US: Number of Births data is updated yearly, averaging 4,195,844.000 Person from Jun 2001 (Median) to 2050, with 50 observations. The data reached an all-time high of 4,413,478.000 Person in 2050 and a record low of 3,921,308.000 Person in 2013. United States US: Number of Births data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.US Census Bureau: Demographic Projection.

  9. NGS Gravity Network Data for the U.S.

    • catalog.data.gov
    • datadiscoverystudio.org
    • +4more
    Updated Oct 18, 2024
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    NOAA National Centers for Environmental Information (Point of Contact) (2024). NGS Gravity Network Data for the U.S. [Dataset]. https://catalog.data.gov/dataset/ngs-gravity-network-data-for-the-u-s2
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    Dataset updated
    Oct 18, 2024
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    United States
    Description

    The gravity network data (7,298 records) were gathered by various governmental organizations (and academia) using a variety of methods.

  10. U

    United States US: People Using Basic Drinking Water Services: % of...

    • ceicdata.com
    Updated Mar 15, 2023
    + more versions
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    CEICdata.com (2023). United States US: People Using Basic Drinking Water Services: % of Population [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-people-using-basic-drinking-water-services--of-population
    Explore at:
    Dataset updated
    Mar 15, 2023
    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
    Dec 1, 2005 - Dec 1, 2015
    Area covered
    United States
    Description

    United States US: People Using Basic Drinking Water Services: % of Population data was reported at 99.200 % in 2015. This records an increase from the previous number of 99.195 % for 2014. United States US: People Using Basic Drinking Water Services: % of Population data is updated yearly, averaging 99.174 % from Dec 2005 (Median) to 2015, with 11 observations. The data reached an all-time high of 99.200 % in 2015 and a record low of 99.148 % in 2005. United States US: People Using Basic Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted Average;

  11. United States Illinois: Gen Exp: Employment Security Administration

    • ceicdata.com
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    CEICdata.com, United States Illinois: Gen Exp: Employment Security Administration [Dataset]. https://www.ceicdata.com/en/united-states/revenue--expenditure-state-and-local-government-illinois/illinois-gen-exp-employment-security-administration
    Explore at:
    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
    Jun 1, 2004 - Jun 1, 2015
    Area covered
    United States
    Variables measured
    Operating Statement
    Description

    United States Illinois: Gen Exp: Employment Security Administration data was reported at 65,112.000 USD th in 2015. This records an increase from the previous number of 61,173.000 USD th for 2014. United States Illinois: Gen Exp: Employment Security Administration data is updated yearly, averaging 150,946.000 USD th from Jun 1977 (Median) to 2015, with 37 observations. The data reached an all-time high of 258,868.000 USD th in 2002 and a record low of 61,173.000 USD th in 2014. United States Illinois: Gen Exp: Employment Security Administration data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.F022: Revenue & Expenditure: State and Local Government: Illinois.

  12. d

    Protected Areas Database of the United States (PAD-US) - Combined: Version...

    • datadiscoverystudio.org
    kmz
    Updated Mar 10, 2013
    + more versions
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    (2013). Protected Areas Database of the United States (PAD-US) - Combined: Version 1.3 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/3fac79fbbba74bd49758536e23479003/html
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    kmzAvailable download formats
    Dataset updated
    Mar 10, 2013
    Area covered
    United States,
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  13. Data from: United States Supreme Court Judicial Database, Phase II:...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
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    Bureau of Justice Statistics (2025). United States Supreme Court Judicial Database, Phase II: 1953-1993 [Dataset]. https://catalog.data.gov/dataset/united-states-supreme-court-judicial-database-phase-ii-1953-1993-d7d89
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Bureau of Justice Statisticshttp://bjs.ojp.gov/
    Area covered
    United States
    Description

    The purpose of this data collection was to record information about the cases, litigants, amicus participants, and the opinions decided by the Supreme Court under the tenure of Chief Justices Earl Warren (1953-1969) and Warren Burger (1969-1986) and others through 1993. The approach of this study was to proceed deductively, rather than seek to infer values of a particular group of justices. This method allows the investigation of value conflicts that are not litigated, as well as the value conflicts represented in Supreme Court opinions. Opinions are coded on the basis of their literal content, and the data are organized around the opinions. There are eight types of opinions. Within each type, up to six topics are coded, and within each topic, up to two values are coded. There are three integrated parts to this study, each of which can be linked to the other files by specific variables. Part 1, Supreme Court Database, contains basic case attributes from UNITED STATES SUPREME COURT JUDICIAL DATABASE, 1953-1993 TERMS (ICPSR 9422) and the opinions given in the cases. Part 2, Briefs, gives information on the filers and co-filers for cases in which amicus curie briefs were filed. Part 3, Groups, lists the litigants' names. The distinct aspects of the Court's decisions are covered by six types of variables in Part 1: (1) identification variables including case citation, docket number, unit of analysis, and number of records per unit of analysis, (2) background variables offering information on origin of case, source of case, reason for granting cert, parties to the case, direction of the lower court's decision, and manner in which the Court takes jurisdiction, (3) chronological variables covering date of term of court, chief justice, and natural court, (4) substantive variables including multiple legal provisions, authority for decision, issue, issue areas, and direction of decision, (5) outcome variables supplying information on form of decision, disposition of case, winning party, declaration of unconstitutionality, and multiple memorandum decisions, and (6) voting and opinion variables pertaining to the vote in the case and to the direction of the individual justices' votes.

  14. h

    RANGE-database

    • huggingface.co
    Updated Mar 30, 2025
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    Multimodal Vision Research Laboratory @ WashU (2025). RANGE-database [Dataset]. https://huggingface.co/datasets/MVRL/RANGE-database
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    Dataset updated
    Mar 30, 2025
    Dataset authored and provided by
    Multimodal Vision Research Laboratory @ WashU
    Description

    This repo contains the npz files of the database that is required by the RANGE model. This dataset is associated with the paper RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings (CVPR 2025). Code: https://github.com/mvrl/RANGE

  15. d

    Annual National Land Cover Database (NLCD) Collection 1 Summary Land Cover...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Oct 29, 2024
    + more versions
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    U.S. Geological Survey (2024). Annual National Land Cover Database (NLCD) Collection 1 Summary Land Cover Change Count 1985-2023 Conterminous United States [Dataset]. https://catalog.data.gov/dataset/annual-national-land-cover-database-nlcd-collection-1-summary-land-cover-change-count-1985
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    Dataset updated
    Oct 29, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States, Contiguous United States
    Description

    The USGS Land Cover program has combined the tried-and-true methodologies from premier land cover projects, National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP), together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.: 1) Land Cover, 2) Land Cover Change, 3) Land Cover Confidence, 4) Fractional Impervious Surface, 5) Impervious Descriptor, and 6) Spectral Change Day of Year. These land cover science product algorithms harness the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. Annual NLCD uses a modernized, integrated approach to map, monitor, synthesize, and understand the complexities of land use, cover, and condition change. With this first release, Annual NLCD, Collection 1.0, the six products are available for the Conterminous U.S. for 1985 – 2023. Questions about the Annual NLCD product suite can be directed to the Annual NLCD mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or custserv@usgs.gov. See included spatial metadata for more details. The Land Cover Change Count product shows the number of times Land Cover changes (i.e. Annual Land Cover Change) over the entire period.

  16. Financial Data Service Providers in the US

    • ibisworld.com
    Updated Mar 29, 2020
    + more versions
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    IBISWorld (2020). Financial Data Service Providers in the US [Dataset]. https://www.ibisworld.com/united-states/market-size/financial-data-service-providers/5491/
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    Dataset updated
    Mar 29, 2020
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2005 - 2030
    Description

    Market Size statistics on the Financial Data Service Providers industry in the US

  17. d

    US B2B Contact Data | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON

    • datarade.ai
    .json, .csv
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    Forager.ai, US B2B Contact Data | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON [Dataset]. https://datarade.ai/data-products/us-b2b-contact-data-180m-records-bi-weekly-updates-csv-forager-ai
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Forager.ai
    Area covered
    United States of America
    Description

    US B2B Contact Database | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON Elevate your sales and marketing efforts with America's most comprehensive B2B contact data, featuring over 200M+ verified records of decision-makers, from CEOs to managers, across all industries. Powered by AI and refreshed bi-weekly, this dataset ensures you have access to the freshest, most accurate contact details available for effective outreach and engagement.

    Key Features & Stats:

    200M+ Decision-Makers: Includes C-level executives, VPs, Directors, and Managers.

    95% Accuracy: Email & Phone numbers verified for maximum deliverability.

    Bi-Weekly Updates: Never waste time on outdated leads with our frequent data refreshes.

    50+ Data Points: Comprehensive firmographic, technographic, and contact details.

    Core Fields:

    Direct Work Emails & Personal Emails for effective outreach.

    Mobile Phone Numbers for cold calls and SMS campaigns.

    Full Name, Job Title, Seniority for better personalization.

    Company Insights: Size, Revenue, Funding data, Industry, and Tech Stack for a complete profile.

    Location: HQ and regional offices to target local, national, or international markets.

    Top Use Cases:

    Cold Email & Calling Campaigns: Target the right people with accurate contact data.

    CRM & Marketing Automation Enrichment: Enhance your CRM with enriched data for better lead management.

    ABM & Sales Intelligence: Target the right decision-makers and personalize your approach.

    Recruiting & Talent Mapping: Access CEO and senior leadership data for executive search.

    Instant Delivery Options:

    JSON – Bulk downloads via S3 for easy integration.

    REST API – Real-time integration for seamless workflow automation.

    CRM Sync – Direct integration with your CRM for streamlined lead management.

    Enterprise-Grade Quality:

    SOC 2 Compliant: Ensuring the highest standards of security and data privacy.

    GDPR/CCPA Ready: Fully compliant with global data protection regulations.

    Triple-Verification Process: Ensuring the accuracy and deliverability of every record.

    Suppression List Management: Eliminate irrelevant or non-opt-in contacts from your outreach.

    US Business Contacts | B2B Email Database | Sales Leads | CRM Enrichment | Verified Phone Numbers | ABM Data | CEO Contact Data | US B2B Leads | US prospects data

  18. U.S. Data Center Processor Market - Demand, Size and Competitive Analysis

    • credenceresearch.com
    csv, pdf
    Updated Feb 5, 2025
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    Credence Research Inc. (2025). U.S. Data Center Processor Market - Demand, Size and Competitive Analysis [Dataset]. https://www.credenceresearch.com/report/united-states-data-center-processor-market
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    csv, pdfAvailable download formats
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Credence Research
    Authors
    Credence Research Inc.
    License

    https://www.credenceresearch.com/info/privacy-policyhttps://www.credenceresearch.com/info/privacy-policy

    Area covered
    United States
    Description

    U.S. Data Center Processor Market size was valued at USD 388.02 million in 2023 and is anticipated to reach USD 700.57 million by 2032, at a CAGR of 7.67% during the forecast period (2023-2032).

  19. P

    2016 Indo-European Languages Linguistically Isolated Households

    • data.pompanobeachfl.gov
    Updated May 20, 2020
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    External Datasets (2020). 2016 Indo-European Languages Linguistically Isolated Households [Dataset]. https://data.pompanobeachfl.gov/dataset/2016-indo-european-languages-linguistically-isolated-households
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    csv, geojson, arcgis geoservices rest api, zip, html, kmlAvailable download formats
    Dataset updated
    May 20, 2020
    Dataset provided by
    RBENSADOUN_BCGIS
    Authors
    External Datasets
    Description

    The layer was compiled from the U.S. Census Bureau’s 2018 Planning Database (PDB), a database that assembles a range of housing, demographic, socioeconomic, and census operational data. The data is from the 2012 – 2016 American Community Survey 5-Year Estimates. The purpose of the data is for 2020 Census planning purposes.

    Source: 2018 PDB, U.S. Census Bureau

    Effective Date: June 2018

    Last Update: January 2020

    Update Cycle: Generally, annually as needed. 2018 PDB is vintage used for 2020 Census planning purposes by Nation and County.

  20. a

    Data from: US Counties

    • hub.arcgis.com
    • data-tga.opendata.arcgis.com
    Updated Jul 24, 2018
    + more versions
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    Tennessee Geographic Alliance (2018). US Counties [Dataset]. https://hub.arcgis.com/datasets/tga::us-counties
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    Dataset updated
    Jul 24, 2018
    Dataset authored and provided by
    Tennessee Geographic Alliance
    Area covered
    United States,
    Description

    This data set contains counties for the entire US downloaded from the US Census Bureau.

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data.kingcounty.gov (2024). Major US Open Data Domains [Dataset]. https://catalog.data.gov/dataset/major-us-open-data-domains

Major US Open Data Domains

Explore at:
Dataset updated
Feb 2, 2024
Dataset provided by
data.kingcounty.gov
Area covered
United States
Description

An incomplete collection of open data domains throughout the U.S. (intended for comparison with King County open data)

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