52 datasets found
  1. United States Census

    • kaggle.com
    zip
    Updated Apr 17, 2018
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    US Census Bureau (2018). United States Census [Dataset]. https://www.kaggle.com/census/census-bureau-usa
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Apr 17, 2018
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    Context

    The United States Census is a decennial census mandated by Article I, Section 2 of the United States Constitution, which states: "Representatives and direct Taxes shall be apportioned among the several States ... according to their respective Numbers."
    Source: https://en.wikipedia.org/wiki/United_States_Census

    Content

    The United States census count (also known as the Decennial Census of Population and Housing) is a count of every resident of the US. The census occurs every 10 years and is conducted by the United States Census Bureau. Census data is publicly available through the census website, but much of the data is available in summarized data and graphs. The raw data is often difficult to obtain, is typically divided by region, and it must be processed and combined to provide information about the nation as a whole.

    The United States census dataset includes nationwide population counts from the 2000 and 2010 censuses. Data is broken out by gender, age and location using zip code tabular areas (ZCTAs) and GEOIDs. ZCTAs are generalized representations of zip codes, and often, though not always, are the same as the zip code for an area. GEOIDs are numeric codes that uniquely identify all administrative, legal, and statistical geographic areas for which the Census Bureau tabulates data. GEOIDs are useful for correlating census data with other censuses and surveys.

    Fork this kernel to get started.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:census_bureau_usa

    https://cloud.google.com/bigquery/public-data/us-census

    Dataset Source: United States Census Bureau

    Use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by Steve Richey from Unsplash.

    Inspiration

    What are the ten most populous zip codes in the US in the 2010 census?

    What are the top 10 zip codes that experienced the greatest change in population between the 2000 and 2010 censuses?

    https://cloud.google.com/bigquery/images/census-population-map.png" alt="https://cloud.google.com/bigquery/images/census-population-map.png"> https://cloud.google.com/bigquery/images/census-population-map.png

  2. Z

    Wiki-based Knowledge about Demographics and Outstanding Members

    • data.niaid.nih.gov
    Updated Jan 14, 2023
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    Simon Razniewski (2023). Wiki-based Knowledge about Demographics and Outstanding Members [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7410436
    Explore at:
    Dataset updated
    Jan 14, 2023
    Dataset provided by
    Gerhard Weikum
    Jeff Z. Pan
    Simon Razniewski
    Hiba Arnaout
    License

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

    Description

    These datasets contains statements about demographic factors and outstanding members from Wiki-based knowledge (i.e., Wikipedia and Wikidata).

    Group-centric dataset (sample of what is it about):

    Demographic factors of winners of Nobel Prize in Physics include: male, physicist, american, university teacher, and researcher. Outstanding members in this group include Maria Curie (who isn't male but female) and Wilhelm Röntgen (who isn't a citizen of the U.S. but Germany).

    Subject-centric dataset (sample of what is it about):

    Fun trivia about Max Planck include: unlike 93% of winners of Liebig Medal (an award by Society of German Chemists), Planck was not a chemist, but a physicist.

    This data can be also browsed at: https://wikiknowledge.onrender.com/demographics/

  3. Data from: Wiki-based Communities of Interest: Demographics and Outliers

    • zenodo.org
    bin
    Updated Jan 15, 2023
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    Hiba Arnaout; Simon Razniewski; Jeff Z. Pan; Hiba Arnaout; Simon Razniewski; Jeff Z. Pan (2023). Wiki-based Communities of Interest: Demographics and Outliers [Dataset]. http://doi.org/10.5281/zenodo.7537200
    Explore at:
    binAvailable download formats
    Dataset updated
    Jan 15, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Hiba Arnaout; Simon Razniewski; Jeff Z. Pan; Hiba Arnaout; Simon Razniewski; Jeff Z. Pan
    License

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

    Description

    These datasets contains statements about demographics and outliers of Wiki-based Communities of Interest.

    Group-centric dataset (sample):

    {
      "title": "winners of Priestley Medal", 
      "recorded_members": 83, 
      "topics": ["STEM.Chemistry"], 
      "demographics": [
          "occupation-chemist",
          "gender-male", 
          "citizen-U.S."
      ], 
      "outliers": [
        {
          "reason": "NOT(chemist) unlike 82 recorded members", 
          "members": [
          "Francis Garvan (lawyer, art collector)"
          ]
        }, 
        {
          "reason": "NOT(male) unlike 80 recorded members", 
          "members": [
          "Mary L. Good (female)",
          "Darleane Hoffman (female)", 
          "Jacqueline Barton (female)"
          ]
        }
      ]
    }

    Subject-centric dataset (sample):

    {
      "subject": "Serena Williams", 
      "statements": [
        {
          "statement": "NOT(sport-basketball) but (tennis) unlike 4 recorded winners of Best Female Athlete ESPY Award.", 
          "score": 0.36
        },
      {
          "statement": "NOT(occupation-politician) but (tennis player, businessperson, autobiographer) unlike 20 recorded winners of Michigan Women's Hall of Fame.",
          "score": 0.17
        }
      ]
    }

    This data can be also browsed at: https://wikiknowledge.onrender.com/demographics/

  4. AmeriCorps Participant Demographics Data

    • data.americorps.gov
    • catalog.data.gov
    • +1more
    application/rdfxml +5
    Updated Mar 11, 2025
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    AmeriCorps - Chief Data Officer (CDO) (2025). AmeriCorps Participant Demographics Data [Dataset]. https://data.americorps.gov/National-Service/AmeriCorps-Participant-Demographics-Data/i9xs-fvag
    Explore at:
    csv, application/rdfxml, application/rssxml, tsv, json, xmlAvailable download formats
    Dataset updated
    Mar 11, 2025
    Dataset provided by
    AmeriCorpshttp://www.americorps.gov/
    Authors
    AmeriCorps - Chief Data Officer (CDO)
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description
    • This dataset provides comparisons of demographic group prevalence in AmeriCorps Member/Volunteers populations to that of the greater U.S. population. The odds ratio analysis was completed by the Office of the Chief Data Officer.
    • Population estimates were obtained from U.S. Census Bureau data reported in American Community Survey 5-Year tables DP05 (total U.S. populations) and S1701 (U.S. populations below poverty line), and socioeconomic status-related microdata maintained by IPUMS USA.
    • See Attached Document 'AmeriCorps Demographic Analysis Procedure.pdf' for a full technical documentation of the analysis.
  5. C

    U.S. Death Statistics By Race, Age Group, Demographics, Per Day, Violence...

    • coolest-gadgets.com
    Updated Feb 27, 2025
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    Coolest Gadgets (2025). U.S. Death Statistics By Race, Age Group, Demographics, Per Day, Violence and Abuse [Dataset]. https://coolest-gadgets.com/u-s-death-statistics/
    Explore at:
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Coolest Gadgets
    License

    https://coolest-gadgets.com/privacy-policyhttps://coolest-gadgets.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global, United States
    Description

    Introduction

    U.S. Death Statistics: The death rate in the United States reflects various factors such as health issues, lifestyle changes, and other social factors that impact people's lives. Life expectancy has generally improved due to advancements in American healthcare, but several causes of death remain significant, including heart disease, cancer, and accidents. The opioid crisis, along with mental health challenges like suicide, also adds to the national death rate.

    The COVID-19 pandemic further influenced the death statistics, showing the importance of public health measures. As the population is growing enormously, thus people may pass away from age-related conditions, highlighting the need for better healthcare access and preventive measures to improve overall well-being

  6. h

    olm-wikipedia-20221220-1-percent-tokenized-568

    • huggingface.co
    Updated Dec 20, 2022
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    Tristan Thrush (2022). olm-wikipedia-20221220-1-percent-tokenized-568 [Dataset]. https://huggingface.co/datasets/Tristan/olm-wikipedia-20221220-1-percent-tokenized-568
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 20, 2022
    Authors
    Tristan Thrush
    Description

    Dataset Card for "olm-wikipedia-20221220-1-percent-tokenized-568"

    More Information needed

  7. Americorps Participant Demographic Data

    • datalumos.org
    delimited
    Updated Mar 5, 2025
    + more versions
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    Americorps (2025). Americorps Participant Demographic Data [Dataset]. http://doi.org/10.3886/E221703V1
    Explore at:
    delimitedAvailable download formats
    Dataset updated
    Mar 5, 2025
    Dataset provided by
    AmeriCorpshttp://www.americorps.gov/
    Authors
    Americorps
    License

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

    Description
    • This dataset provides comparisons of demographic group prevalence in AmeriCorps Member/Volunteers populations to that of the greater U.S. population. The odds ratio analysis was completed by the Office of the Chief Data Officer.- Population estimates were obtained from U.S. Census Bureau data reported in American Community Survey 5-Year tables DP05 (total U.S. populations) and S1701 (U.S. populations below poverty line), and socioeconomic status-related microdata maintained by IPUMS USA.- See Attached Document 'AmeriCorps Demographic Analysis Procedure.pdf' for a full technical documentation of the analysis.
  8. C

    U.S. Scholarship Statistics By Types, Recipients, Private And Public...

    • coolest-gadgets.com
    Updated Apr 14, 2025
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    Coolest Gadgets (2025). U.S. Scholarship Statistics By Types, Recipients, Private And Public Scholarship [Dataset]. https://coolest-gadgets.com/u-s-scholarship-statistics/
    Explore at:
    Dataset updated
    Apr 14, 2025
    Dataset authored and provided by
    Coolest Gadgets
    License

    https://coolest-gadgets.com/privacy-policyhttps://coolest-gadgets.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global, United States
    Description

    Introduction

    U.S. Scholarship Statistics: Every year, many U.S. students apply for scholarships to pay for college. Scholarships are free money given for good marks, sports skills, or if a student needs money. They can come from schools, companies, or private people. Because college costs keep increasing, scholarships are now more important than before. Still, not all students receive them; some don’t even apply.

    This article explains important facts and numbers about scholarships in the U.S., who gets them, how they work, and what students should know. Knowing this can help students and parents plan better for college.

  9. AmeriCorps Participant Demographics Dashboard

    • datasets.ai
    • catalog.data.gov
    Updated Sep 9, 2024
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    AmeriCorps (2024). AmeriCorps Participant Demographics Dashboard [Dataset]. https://datasets.ai/datasets/americorps-participant-demographics-dashboard
    Explore at:
    Dataset updated
    Sep 9, 2024
    Dataset authored and provided by
    AmeriCorpshttp://www.americorps.gov/
    Description

    This dashboard provides visual representation for comparisons of demographic group prevalence in AmeriCorps Member/Volunteers populations to that of the greater U.S. population. The odds ratio analysis was completed by the Office of the Chief Data Officer. Note: Toggle between dashboard pages with the arrows at the bottom of the dashboard. Pages: 1) State Results, 2) National Results, 3) Key Terms and Conditions

  10. US cities 2022

    • kaggle.com
    Updated Nov 4, 2023
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    Frank Schindler (2023). US cities 2022 [Dataset]. https://www.kaggle.com/datasets/frankschindler1/us-cities-2022-population-coordinates-etc
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 4, 2023
    Dataset provided by
    Kaggle
    Authors
    Frank Schindler
    License

    Attribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
    License information was derived automatically

    Area covered
    United States
    Description

    This dataset includes basic data about all US cities with a population over 100.000 (333 cities)

    Source: https://en.wikipedia.org/wiki/List_of_United_States_cities_by_population

    Coordinates of cities have been geocoded using https://rapidapi.com/GeocodeSupport/api/forward-reverse-geocoding/

    Rows description:

    City: Name of city State: Name of state Latitude, Longitude, Population_estimate_2022: Estimated population in 2022 Population_2020: Population figure from 2020 census Change_population: % change in population between 2022 and 2020 Land_area: City land area in sq. mi. Population_density_2020: density of population per sq. mi. in 2020

  11. a

    United States of America export data: Diversification and Advancements

    • pt.abrams.wiki
    • ko.abrams.wiki
    • +1more
    Updated Jul 1, 2025
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    ABRAMS world trade wiki (2025). United States of America export data: Diversification and Advancements [Dataset]. https://pt.abrams.wiki/dados-de-comercio-global/united-states-of-america-export-data
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    ABRAMS world trade wiki
    License

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

    Time period covered
    2025
    Area covered
    Description

    United States of America export data: Unveiling the diversity and advancement in economic structure through exports of machinery, electronics, and more.

  12. h

    wikipedia-embedding-bge-small-en-v1.5-five-percent

    • huggingface.co
    Updated May 11, 2024
    + more versions
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    fivesixseven (2024). wikipedia-embedding-bge-small-en-v1.5-five-percent [Dataset]. https://huggingface.co/datasets/567-labs/wikipedia-embedding-bge-small-en-v1.5-five-percent
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 11, 2024
    Dataset authored and provided by
    fivesixseven
    Description

    567-labs/wikipedia-embedding-bge-small-en-v1.5-five-percent dataset hosted on Hugging Face and contributed by the HF Datasets community

  13. A

    ‘Top 100 US Cities by Population’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Top 100 US Cities by Population’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-top-100-us-cities-by-population-e7e5/85aeccd1/?iid=006-941&v=presentation
    Explore at:
    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    United States
    Description

    Analysis of ‘Top 100 US Cities by Population’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/brandonconrady/top-100-us-cities-by-population on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Content

    Data was pulled from a table in the following Wikipedia article: https://en.wikipedia.org/wiki/List_of_United_States_cities_by_population I used Microsoft Excel's PowerQuery function to pull the table from Wikipedia. Lists each city, its rank (based on 2020 population), some data on its area, and population in both 2020 and 2010.

    Banner image source: https://unsplash.com/photos/wh-7GeXxItI

    --- Original source retains full ownership of the source dataset ---

  14. Wikipedia English: number of page views 2023, by country

    • statista.com
    Updated Dec 13, 2023
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    Statista (2023). Wikipedia English: number of page views 2023, by country [Dataset]. https://www.statista.com/statistics/1428253/wikipedia-english-page-views-country/
    Explore at:
    Dataset updated
    Dec 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2023
    Area covered
    Worldwide
    Description

    In November 2023, the English version of Wikipedia received over 3 billion page views originating from the United States across all platforms. The United Kingdom was the country to generate the second-most page views for the subdomain, with 809.9 million views, followed by India, with 773.2 million visualizations.

  15. o

    Geonames - All Cities with a population > 1000

    • public.opendatasoft.com
    • data.smartidf.services
    • +2more
    csv, excel, geojson +1
    Updated Mar 10, 2024
    + more versions
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    (2024). Geonames - All Cities with a population > 1000 [Dataset]. https://public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/
    Explore at:
    csv, json, geojson, excelAvailable download formats
    Dataset updated
    Mar 10, 2024
    License

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

    Description

    All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

  16. County-Level Estimates of the Population Aged Sixty Years and Over by Age,...

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Feb 16, 1992
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    Inter-university Consortium for Political and Social Research (1992). County-Level Estimates of the Population Aged Sixty Years and Over by Age, Sex, and Race, 1977-1980 [Dataset]. http://doi.org/10.3886/ICPSR07955.v1
    Explore at:
    spss, sas, asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset authored and provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7955/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7955/terms

    Time period covered
    1977 - 1980
    Area covered
    Missouri, South Carolina, Tennessee, New York (state), Mississippi, Washington, Pennsylvania, Oklahoma, Georgia, Ohio
    Dataset funded by
    Administration on Aginghttps://www.wikidata.org/wiki/Q358782#P856
    Description

    Preparation of this data collection was funded by grant

    90-A-1279 from the United States Department of Health and Human

    Services, Administration on Aging. Estimates of the population of persons 60 years old and older were received from the Census Bureau in printed form and were made machine-readable by staff at ICPSR. Other variables contained in this dataset were merged from existing machine-readable census files. The data concerning racial composition of counties were taken from the CENSUS OF POPULATION AND HOUSING, 1980 [UNITED STATES]: P.L. 94-171 POPULATION COUNTS (ICPSR 7854). The figures concerning per capita income were taken from the Bureau of the Census, GENERAL REVENUE SHARING, 1978 POPULATION ESTIMATES (ICPSR 7840). Variables include Federal Information Processing Standard (FIPS) state and county codes, 1978 per capita income of county, and total population of county broken down by sex, race, and age (in four-year increments with a category for persons 75 years old and older).

  17. h

    olm-wikipedia-20221220-1-percent-tokenized-766

    • huggingface.co
    Updated Dec 20, 2022
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    Tristan Thrush (2022). olm-wikipedia-20221220-1-percent-tokenized-766 [Dataset]. https://huggingface.co/datasets/Tristan/olm-wikipedia-20221220-1-percent-tokenized-766
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 20, 2022
    Authors
    Tristan Thrush
    Description

    Dataset Card for "olm-wikipedia-20221220-1-percent-tokenized-766"

    More Information needed

  18. E

    Yelp Statistics By Revenue, Country, User, Demographics And Facts (2025)

    • electroiq.com
    Updated Jul 4, 2025
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    Electro IQ (2025). Yelp Statistics By Revenue, Country, User, Demographics And Facts (2025) [Dataset]. https://electroiq.com/stats/yelp-statistics/
    Explore at:
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Electro IQ
    License

    https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Yelp Statistics: Yelp Inc. is an American company that runs the Yelp.com website and mobile app, where people can post and read reviews about local businesses. The company also offers Yelp Guest Manager, which helps in booking tables at restaurants. Yelp’s headquarters are located at 350 Mission Street, San Francisco, California, U.S. and were founded in October 2004 by Russel Simmons and Jeremy Stoppelman. Yelp has grown into one of the most trusted platforms for user-written business reviews and ratings.

    This article explores the latest statistical analysis of Yelp, including usage trends, financial performance, star ratings, market share, and more, which will guide you in understanding how the platform continues to shape consumer choices and business visibility in recent years.

  19. 2023 CEV Data: Current Population Survey Civic Engagement and Volunteering...

    • catalog-dev.data.gov
    • data.americorps.gov
    • +1more
    Updated Mar 20, 2025
    + more versions
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    AmeriCorps Office of Research and Evaluation (2025). 2023 CEV Data: Current Population Survey Civic Engagement and Volunteering Supplement [Dataset]. https://catalog-dev.data.gov/dataset/2023-cev-data-current-population-survey-civic-engagement-and-volunteering-supplement-5da6f
    Explore at:
    Dataset updated
    Mar 20, 2025
    Dataset provided by
    AmeriCorpshttp://www.americorps.gov/
    Description

    The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2023. The next wave of the CEV will be administered in September 2025. The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. Click on "Export" to download and review an excerpt from the 2023 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps. Click on "Show More" to download and review the following 2023 CEV data and resources provided as attachments: 1) 2023 CEV Dataset Fact Sheet – brief summary of technical aspects of the 2023 CEV dataset. 2) CEV FAQs – answers to frequently asked technical questions about the CEV 3) Constructs and measures in the CEV 4) 2023 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. These files were updated on January 16, 2025 to correct erroneous missing values for the ssupwgt variable. 5) 2023 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 6) 2023 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

  20. United States Stores Distributed by Monthly Views

    • aftership.com
    Updated Jan 11, 2024
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    AfterShip (2024). United States Stores Distributed by Monthly Views [Dataset]. https://www.aftership.com/ecommerce/statistics/regions/us
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    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

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

    Area covered
    United States
    Description

    This chart provides a detailed overview of the number of United States online retailers by Monthly Views. Most United States stores' Monthly Views are Less than 100, there are 511.93K stores, which is 34.08% of total. In second place, 395.41K stores' Monthly Views are 100 to 1K, which is 26.33% of total. Meanwhile, 331.54K stores' Monthly Views are 1K to 10K, which is 22.07% of total. This breakdown reveals insights into United States stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

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US Census Bureau (2018). United States Census [Dataset]. https://www.kaggle.com/census/census-bureau-usa
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United States Census

United States Census (BigQuery Dataset)

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zip(0 bytes)Available download formats
Dataset updated
Apr 17, 2018
Dataset provided by
United States Census Bureauhttp://census.gov/
Authors
US Census Bureau
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Area covered
United States
Description

Context

The United States Census is a decennial census mandated by Article I, Section 2 of the United States Constitution, which states: "Representatives and direct Taxes shall be apportioned among the several States ... according to their respective Numbers."
Source: https://en.wikipedia.org/wiki/United_States_Census

Content

The United States census count (also known as the Decennial Census of Population and Housing) is a count of every resident of the US. The census occurs every 10 years and is conducted by the United States Census Bureau. Census data is publicly available through the census website, but much of the data is available in summarized data and graphs. The raw data is often difficult to obtain, is typically divided by region, and it must be processed and combined to provide information about the nation as a whole.

The United States census dataset includes nationwide population counts from the 2000 and 2010 censuses. Data is broken out by gender, age and location using zip code tabular areas (ZCTAs) and GEOIDs. ZCTAs are generalized representations of zip codes, and often, though not always, are the same as the zip code for an area. GEOIDs are numeric codes that uniquely identify all administrative, legal, and statistical geographic areas for which the Census Bureau tabulates data. GEOIDs are useful for correlating census data with other censuses and surveys.

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Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:census_bureau_usa

https://cloud.google.com/bigquery/public-data/us-census

Dataset Source: United States Census Bureau

Use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by Steve Richey from Unsplash.

Inspiration

What are the ten most populous zip codes in the US in the 2010 census?

What are the top 10 zip codes that experienced the greatest change in population between the 2000 and 2010 censuses?

https://cloud.google.com/bigquery/images/census-population-map.png" alt="https://cloud.google.com/bigquery/images/census-population-map.png"> https://cloud.google.com/bigquery/images/census-population-map.png

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