94 datasets found
  1. Dec 1998 Current Population Survey: Computer and Internet Use Supplement

    • datasets.ai
    • catalog.data.gov
    2
    Updated Dec 15, 1998
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    Department of Commerce (1998). Dec 1998 Current Population Survey: Computer and Internet Use Supplement [Dataset]. https://datasets.ai/datasets/dec-1998-current-population-survey-computer-and-internet-use-supplement
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    2Available download formats
    Dataset updated
    Dec 15, 1998
    Dataset provided by
    United States Department of Commercehttp://commerce.gov/
    Authors
    Department of Commerce
    Description

    Information on person and household broadband (high-speed Internet) use, where it is used, by what types of devices, what type of service provider, and other characteristics.

  2. Current Population Survey, September 2001: Computer and Internet Use...

    • icpsr.umich.edu
    ascii, delimited, sas +2
    Updated Sep 19, 2011
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    Inter-university Consortium for Political and Social Research [distributor] (2011). Current Population Survey, September 2001: Computer and Internet Use Supplement [Dataset]. http://doi.org/10.3886/ICPSR03669.v2
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    ascii, stata, delimited, spss, sasAvailable download formats
    Dataset updated
    Sep 19, 2011
    Dataset 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/3669/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/3669/terms

    Time period covered
    Sep 2001
    Area covered
    United States
    Description

    This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey on the topic of Internet and Computer Use in the United States, which was administered as a supplement to the September 2001 CPS.The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States, for the week prior to the survey. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.The September 2001 supplement survey queried respondents on whether there was a computer and/or laptop in the household, how many computers or laptops were in the household, if anyone in the household used the Internet, and how the Internet was accessed (i.e., dial-up, DSL, or cable modem). Other Internet specific questions included concerns about providing personal information over the Internet, if household members used the Internet to access e-mail, news, weather, LISTSERVs, play games, take on-line courses, view TV or movies, make telephone calls, or search for information about products and services (like health, government, or financial services). Questions pertaining to computer usage included types of software used by household members (e.g., word processing or desktop publishing, spreadsheet or database, e-mail, or graphic design software) and if the software was used on their home and/or work computer to complete school assignments, manage finances, play games, schedule events, or for other uses.Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income.

  3. Current Population Survey, November 1994: Voting and Registration and...

    • archive.ciser.cornell.edu
    Updated Feb 22, 2020
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    Bureau of Labor Statistics (2020). Current Population Survey, November 1994: Voting and Registration and Computer Usage [Dataset]. http://doi.org/10.6077/ktae-6b26
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    Dataset updated
    Feb 22, 2020
    Dataset authored and provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Variables measured
    Individual
    Description

    This survey provides data on labor force activity for the week prior to the survey. Comprehensive data are available on the employment status, occupation, and industry of persons 15 years old and over. Personal characteristics such as age, sex, race, marital status, veteran status, household relationships, educational background, and Hispanic origin are also provided. Questions unique to this supplement pertain to citizenship, voting status, and registration status and were asked of respondents aged 18 or older. Data on computer usage are also included. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR06548.v2. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  4. g

    Data from: Current Population Survey, October 2010: School Enrollment and...

    • datasearch.gesis.org
    • icpsr.umich.edu
    v1
    Updated Aug 5, 2015
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    United States Department of Commerce. Bureau of the Census; United States Department of Education. National Center for Educational Statistics; United States Department of Labor. Bureau of Labor Statistics (2015). Current Population Survey, October 2010: School Enrollment and Internet Use Supplement [Dataset]. http://doi.org/10.3886/ICPSR31541.v1
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    v1Available download formats
    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    United States Department of Commerce. Bureau of the Census; United States Department of Education. National Center for Educational Statistics; United States Department of Labor. Bureau of Labor Statistics
    Description

    This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey on the topics of School Enrollment and Internet Use in the United States, which was administered as a supplement to the 2010 October CPS. The Census Bureau and the National Center for Education Statistics jointly sponsored the supplemental questions for October.The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States, for the week prior to the survey. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.The October 2010 supplemental survey queried respondents on school enrollment for all persons in the household aged three years and over. Supplement data includes information collected on current grade at public or private school, whether currently attending college full- or part-time at a two- or four-year institution, year last attended a regular school, year graduated from high school, grade retention, and whether any business, vocational, technical, trade, or correspondence courses were ever taken. Respondents were also queried on Internet and computer use, particularly if members of the household use the Internet, and how access to the Internet is obtained. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income.

  5. w

    Current Population Survey Internet and Computer Use Supplement

    • data.wu.ac.at
    csv
    Updated Feb 23, 2014
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    Department of Commerce (2014). Current Population Survey Internet and Computer Use Supplement [Dataset]. https://data.wu.ac.at/schema/data_gov/MmNlMjIxMDgtZTZmNC00MjY1LTk0ZTQtNzk1N2I5NTI0MjFk
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    csvAvailable download formats
    Dataset updated
    Feb 23, 2014
    Dataset provided by
    Department of Commerce
    License

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

    Area covered
    e6888e8bf85e90319c80ad727ecdbc0c4814f496
    Description

    A national survey conducted to obtain information about the extent of the nation's internet and computer use. The computer usage questions are asked of all household reference persons, or the spouses of the reference person, if the reference person is not available for interview.

  6. Computers and Internet Use 2018-2022 - STATES

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • mce-data-uscensus.hub.arcgis.com
    • +1more
    Updated Feb 5, 2024
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    US Census Bureau (2024). Computers and Internet Use 2018-2022 - STATES [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/795b1e5887ee40aa97f5940d6eebcfb3
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    Dataset updated
    Feb 5, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    Description

    This layer shows Computers and Internet Use. This is shown by state and county boundaries. This service contains the 2017-2021 release of data from the American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show Percentage of Households with a Broadband Internet Subscription. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): DP02, S2801Data downloaded from: Census Bureau's API for American Community Survey Date of API call: January 18, 2022National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

  7. a

    ACS Internet by Demographics Boundaries

    • hub.arcgis.com
    Updated Jun 8, 2022
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    Broward County GIS (2022). ACS Internet by Demographics Boundaries [Dataset]. https://hub.arcgis.com/maps/1f6be50b99604749ba4cdf2bf42dc774
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    Dataset updated
    Jun 8, 2022
    Dataset authored and provided by
    Broward County GIS
    Area covered
    Description

    This layer shows computer ownership and internet access by age and race. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percent of population age 18 to 64 in households with no computer. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2016-2020ACS Table(s): B28005, B28003, B28009B, B28009C, B28009D, B28009E, B28009F, B28009G, B28009H, B28009I Data downloaded from: Census Bureau's API for American Community Survey Date of API call: March 17, 2022The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

  8. Worldwide digital population 2025

    • statista.com
    • tokrwards.com
    • +1more
    Updated Apr 1, 2025
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    Statista (2025). Worldwide digital population 2025 [Dataset]. https://www.statista.com/statistics/617136/digital-population-worldwide/
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    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    World
    Description

    As of February 2025, 5.56 billion individuals worldwide were internet users, which amounted to 67.9 percent of the global population. Of this total, 5.24 billion, or 63.9 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 20254. In The Netherlands, Norway and Saudi Arabia, 99 percent of the population used the internet as of February 2025. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Eastern Asia was home to the largest number of online users worldwide – over 1.34 billion at the latest count. Southern Asia ranked second, with around 1.2 billion internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2024, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in African countries, with around a ten percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller usage gap between these two genders. As of 2024, global internet usage was higher among individuals between 15 and 24 years old across all regions, with young people in Europe representing the most significant usage penetration, 98 percent. In comparison, the worldwide average for the age group 15–24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.

  9. ACS Internet Access by Income Variables - Boundaries

    • hub.arcgis.com
    Updated Nov 16, 2020
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    Esri (2020). ACS Internet Access by Income Variables - Boundaries [Dataset]. https://hub.arcgis.com/maps/9edc0cbeeb2a4259910e158dfba01881
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    Dataset updated
    Nov 16, 2020
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer shows computer ownership and internet access by income group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percent of households without a broadband internet subscription. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B28004Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

  10. Current Population Survey, October 2003: School Enrollment and Computer Use...

    • icpsr.umich.edu
    ascii
    Updated Jan 6, 2006
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    United States. Bureau of the Census (2006). Current Population Survey, October 2003: School Enrollment and Computer Use Supplement [Dataset]. http://doi.org/10.3886/ICPSR04167.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 6, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/4167/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/4167/terms

    Time period covered
    Oct 2003
    Area covered
    United States
    Description

    Data on labor force activity for the week prior to the survey are supplied in this collection. Information is available on the employment status, occupation, and industry of persons 15 years old and over. Demographic variables include age, sex, race, marital status, veteran status, household relationship, educational background, and Hispanic origin. In addition to providing these core data, the October survey also contains data on school enrollment for all persons aged 3 years and over. This information includes current grade attending at public or private school, whether attending college full- or part-time at a two- or four-year institution, year last attended a regular school, year graduated from high school, grade retention, library use, library accessibility, and resources for people with disabilities.

  11. c

    Computers and Internet Use - Counties 2015-2019

    • covid19.census.gov
    • covid19-uscensus.hub.arcgis.com
    • +1more
    Updated Mar 19, 2021
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    US Census Bureau (2021). Computers and Internet Use - Counties 2015-2019 [Dataset]. https://covid19.census.gov/datasets/computers-and-internet-use-counties-2015-2019/api
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    Dataset updated
    Mar 19, 2021
    Dataset authored and provided by
    US Census Bureau
    Area covered
    Description

    This layer shows Computers and Internet Use. This is shown by county boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.
    This layer is symbolized to show Percentage of Households with a Broadband Internet Subscription. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2015-2019ACS Table(s): DP02, S2801Data downloaded from: Census Bureau's API for American Community Survey Date of API call: February 10, 2021National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS): About the SurveyGeography & ACSTechnical Documentation News & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes.
    All of these are rendered in this dataset as null (blank) values.

  12. National Neighborhood Data Archive (NaNDA): Internet Access by Census Tract...

    • archive.icpsr.umich.edu
    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Sep 29, 2022
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    Li, Mao; Gomez-Lopez, Iris; Khan, Anam; Clarke, Philippa; Chenoweth, Megan (2022). National Neighborhood Data Archive (NaNDA): Internet Access by Census Tract and ZIP Code Tabulation Area, United States, 2015-2019 [Dataset]. https://archive.icpsr.umich.edu/view/studies/38559/datasets/2
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    ascii, r, spss, sas, stata, delimitedAvailable download formats
    Dataset updated
    Sep 29, 2022
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Li, Mao; Gomez-Lopez, Iris; Khan, Anam; Clarke, Philippa; Chenoweth, Megan
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38559/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38559/terms

    Time period covered
    2015 - 2019
    Area covered
    United States
    Description

    These datasets contain measures of internet access per United States census tract and ZIP code tabulation area (ZCTA) from the 2015-2019 American Community Survey five-year estimate. Key variables include the number and percent of households per tract or ZCTA with any type of internet subscription, with broadband internet, and with a computer or smartphone.

  13. A

    Broadband Adoption and Computer Use by year, state, demographic...

    • data.amerigeoss.org
    • data.wu.ac.at
    csv, json, rdf, xml
    Updated Jul 27, 2019
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    United States[old] (2019). Broadband Adoption and Computer Use by year, state, demographic characteristics [Dataset]. https://data.amerigeoss.org/zh_CN/dataset/broadband-adoption-and-computer-use-by-year-state-demographic-characteristics
    Explore at:
    xml, json, rdf, csvAvailable download formats
    Dataset updated
    Jul 27, 2019
    Dataset provided by
    United States[old]
    Description

    This dataset is imported from the US Department of Commerce, National Telecommunications and Information Administration (NTIA) and its "Data Explorer" site. The underlying data comes from the US Census

    1. dataset: Specifies the month and year of the survey as a string, in "Mon YYYY" format. The CPS is a monthly survey, and NTIA periodically sponsors Supplements to that survey.

    2. variable: Contains the standardized name of the variable being measured. NTIA identified the availability of similar data across Supplements, and assigned variable names to ease time-series comparisons.

    3. description: Provides a concise description of the variable.

    4. universe: Specifies the variable representing the universe of persons or households included in the variable's statistics. The specified variable is always included in the file. The only variables lacking universes are isPerson and isHouseholder, as they are themselves the broadest universes measured in the CPS.

    5. A large number of *Prop, *PropSE, *Count, and *CountSE columns comprise the remainder of the columns. For each demographic being measured (see below), four statistics are produced, including the estimated proportion of the group for which the variable is true (*Prop), the standard error of that proportion (*PropSE), the estimated number of persons or households in that group for which the variable is true (*Count), and the standard error of that count (*CountSE).

    DEMOGRAPHIC CATEGORIES

    1. us: The usProp, usPropSE, usCount, and usCountSE columns contain statistics about all persons and households in the universe (which represents the population of the fifty states and the District and Columbia). For example, to see how the prevelance of Internet use by Americans has changed over time, look at the usProp column for each survey's internetUser variable.

    2. age: The age category is divided into five ranges: ages 3-14, 15-24, 25-44, 45-64, and 65+. The CPS only includes data on Americans ages 3 and older. Also note that household reference persons must be at least 15 years old, so the age314* columns are blank for household-based variables. Those columns are also blank for person-based variables where the universe is "isAdult" (or a sub-universe of "isAdult"), as the CPS defines adults as persons ages 15 or older. Finally, note that some variables where children are technically in the univese will show zero values for the age314* columns. This occurs in cases where a variable simply cannot be true of a child (e.g. the workInternetUser variable, as the CPS presumes children under 15 are not eligible to work), but the topic of interest is relevant to children (e.g. locations of Internet use).

    3. work: Employment status is divided into "Employed," "Unemployed," and "NILF" (Not in the Labor Force). These three categories reflect the official BLS definitions used in official labor force statistics. Note that employment status is only recorded in the CPS for individuals ages 15 and older. As a result, children are excluded from the universe when calculating statistics by work status, even if they are otherwise considered part of the universe for the variable of interest.

    4. income: The income category represents annual family income, rather than just an individual person's income. It is divided into five ranges: below $25K, $25K-49,999, $50K-74,999, $75K-99,999, and $100K or more. Statistics by income group are only available in this file for Supplements beginning in 2010; prior to 2010, family income range is available in public use datasets, but is not directly comparable to newer datasets due to the 2010 introduction of the practice of allocating "don't know," "refused," and other responses that result in missing data. Prior to 2010, family income is unkown for approximately 20 percent of persons, while in 2010 the Census Bureau began imputing likely income ranges to replace missing data.

    5. education: Educational attainment is divided into "No Diploma," "High School Grad," "Some College," and "College Grad." High school graduates are considered to include GED completers, and those with some college include community college attendees (and graduates) and those who have attended certain postsecondary vocational or technical schools--in other words, it signifies additional education beyond high school, but short of attaining a bachelor's degree or equivilent. Note that educational attainment is only recorded in the CPS for individuals ages 15 and older. As a result, children are excluded from the universe when calculating statistics by education, even if they are otherwise considered part of the universe for the variable of interest.

    6. sex: "Male" and "Female" are the two groups in this category. The CPS does not currently provide response options for intersex individuals.

    7. race: This category includes "White," "Black," "Hispanic," "Asian," "Am Indian," and "Other" groups. The CPS asks about Hispanic origin separately from racial identification; as a result, all persons identifying as Hispanic are in the Hispanic group, regardless of how else they identify. Furthermore, all non-Hispanic persons identifying with two or more races are tallied in the "Other" group (along with other less-prevelant responses). The Am Indian group includes both American Indians and Alaska Natives.

    8. disability: Disability status is divided into "No" and "Yes" groups, indicating whether the person was identified as having a disability. Disabilities screened for in the CPS include hearing impairment, vision impairment (not sufficiently correctable by glasses), cognitive difficulties arising from physical, mental, or emotional conditions, serious difficulty walking or climbing stairs, difficulty dressing or bathing, and difficulties performing errands due to physical, mental, or emotional conditions. The Census Bureau began collecting data on disability status in June 2008; accordingly, this category is unavailable in Supplements prior to that date. Note that disability status is only recorded in the CPS for individuals ages 15 and older. As a result, children are excluded from the universe when calculating statistics by disability status, even if they are otherwise considered part of the universe for the variable of interest.

    9. metro: Metropolitan status is divided into "No," "Yes," and "Unkown," reflecting information in the dataset about the household's location. A household located within a metropolitan statistical area is assigned to the Yes group, and those outside such areas are assigned to No. However, due to the risk of de-anonymization, the metropolitan area status of certain households is unidentified in public use datasets. In those cases, the Census Bureau has determined that revealing this geographic information poses a disclosure risk. Such households are tallied in the Unknown group.

    10. scChldHome:

  14. Computer and Broadband Internet Access (by County) 2019

    • opendata.atlantaregional.com
    • fultoncountyopendata-fulcogis.opendata.arcgis.com
    • +1more
    Updated Feb 26, 2021
    + more versions
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    Georgia Association of Regional Commissions (2021). Computer and Broadband Internet Access (by County) 2019 [Dataset]. https://opendata.atlantaregional.com/datasets/a6f114c04a084bce87bb7b4d1eb6dacf
    Explore at:
    Dataset updated
    Feb 26, 2021
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

  15. 2020 American Community Survey: S2801 | TYPES OF COMPUTERS AND INTERNET...

    • data.census.gov
    + more versions
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    ACS, 2020 American Community Survey: S2801 | TYPES OF COMPUTERS AND INTERNET SUBSCRIPTIONS (ACS 5-Year Estimates Subject Tables) [Dataset]. https://data.census.gov/table/ACSST5Y2020.S2801
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

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

    Time period covered
    2020
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Data about computer and Internet use were collected by asking respondents to select "Yes" or "No" to each type of computer and each type of Internet subscription. Therefore, respondents were able to select more than one type of computer and more than one type of Internet subscription..The category "Broadband of any type" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types. The category "Without an Internet subscription" includes those who accessed the Internet without a subscription and also those with no Internet access at all..The category "Has one or more types of computing devices" refers to those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer. The category "No computer" consists of those who said "No" to all of these types of computers..Desktop or laptop refers to those who selected that category regardless of whether or not they indicated they also had another type of computer. However, "Desktop or laptop with no other type of computing device" refers to those who said "Yes" to owning or using a desktop or laptop and "No" to smartphone, tablet or other wireless computer, and other computer. Similarly, the same holds true for "Smartphone" compared to "Smartphone with no other type of computing device", "Tablet or other portable wireless computer" compared to "Tablet or other portable wireless computer with no other type of computing device", and "Other computer" compared to "Other computer with no other type of computing device.".An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle..The category "With a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types. The category "Without an Internet subscription" includes those who accessed the Internet without a subscription and also those with no Internet access at all..In 2016, changes were made to the computer and Internet use questions, involving the wording as well as the response options. A crosswalk was used to map pre-2016 data to the post-2016 categories, enabling creation of 5-year data. For more detailed information about the 2016 changes, see the 2016 American Community Survey Content Test Report for Computer and Internet Use located at https://www.census.gov/library/working-papers/2017/acs/2017_Lewis_01.html or the user note regarding changes in the 2016 questions located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes/2017-03.html. For more detailed information about the crosswalk, see the user note regarding the crosswalk located at https://www.census.gov/progr...

  16. Number of internet users worldwide 2014-2029

    • statista.com
    • tokrwards.com
    Updated Apr 11, 2025
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    Statista Research Department (2025). Number of internet users worldwide 2014-2029 [Dataset]. https://www.statista.com/topics/1145/internet-usage-worldwide/
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    World
    Description

    The global number of internet users in was forecast to continuously increase between 2024 and 2029 by in total 1.3 billion users (+23.66 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 7 billion users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of internet users in countries like the Americas and Asia.

  17. d

    Qatari (4 Years and above) Who Use The Computer by Age Group and Place of...

    • data.gov.qa
    csv, excel, json
    Updated Jun 4, 2025
    + more versions
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    (2025). Qatari (4 Years and above) Who Use The Computer by Age Group and Place of Usage in Census (2020) [Dataset]. https://www.data.gov.qa/explore/dataset/qatari-4-years-and-above-who-use-the-computer-by-age-group-and-place-of-usage-in-census-2020/
    Explore at:
    excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 4, 2025
    License

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

    Area covered
    Qatar
    Description

    This dataset shows the number and percentage of Qatari individuals aged 4 years and above who use computers, categorized by age group and place of usage, based on the 2020 Census.

  18. l

    Internet and Computer Access (census tract)

    • data.lacounty.gov
    • geohub.lacity.org
    • +2more
    Updated Sep 21, 2021
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    County of Los Angeles (2021). Internet and Computer Access (census tract) [Dataset]. https://data.lacounty.gov/datasets/lacounty::internet-and-computer-access-census-tract/explore?showTable=true
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    Dataset updated
    Sep 21, 2021
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    For the original data source: https://data.census.gov/table/ACSST5Y2023.S2801. Layer published for the Equity Explorer, a web experience developed by the LA County CEO Anti-Racism, Diversity, and Inclusion (ARDI) initiative in collaboration with eGIS and ISD. Visit the Equity Explorer to explore internet access and other equity related datasets and indices, including the COVID Vulnerability and Recovery Index. Internet and computer access for census tracts in LA County from the US Census American Communities Survey (ACS), 2023. Estimates are based on 2020 census tract boundaries, and tracts are joined to 2021 Supervisorial Districts, Service Planning Areas (SPA), and Countywide Statistical Areas (CSA). For more information about this dataset, please contact egis@isd.lacounty.gov.

  19. Percentage of households with at least one computer - Business Environment...

    • ibisworld.com
    Updated Aug 18, 2025
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    IBISWorld (2025). Percentage of households with at least one computer - Business Environment Profile [Dataset]. https://www.ibisworld.com/united-states/bed/percentage-of-households-with-at-least-one-computer/4068
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    Dataset updated
    Aug 18, 2025
    Dataset authored and provided by
    IBISWorld
    License

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

    Description

    The US Census Bureau's Current Population Survey (CPS) and American Community Survey (ACS) ask households about their computer ownership. Computer use data has since been collected in supplements to the CPS and ACS.

  20. Attitudes towards the internet in Mexico 2025

    • statista.com
    • tokrwards.com
    Updated Apr 11, 2025
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    Umair Bashir (2025). Attitudes towards the internet in Mexico 2025 [Dataset]. https://www.statista.com/topics/1145/internet-usage-worldwide/
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Umair Bashir
    Description

    When asked about "Attitudes towards the internet", most Mexican respondents pick "It is important to me to have mobile internet access in any place" as an answer. 56 percent did so in our online survey in 2025. Looking to gain valuable insights about users of internet providers worldwide? Check out our reports on consumers who use internet providers. These reports give readers a thorough picture of these customers, including their identities, preferences, opinions, and methods of communication.

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Department of Commerce (1998). Dec 1998 Current Population Survey: Computer and Internet Use Supplement [Dataset]. https://datasets.ai/datasets/dec-1998-current-population-survey-computer-and-internet-use-supplement
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Dec 1998 Current Population Survey: Computer and Internet Use Supplement

Explore at:
2Available download formats
Dataset updated
Dec 15, 1998
Dataset provided by
United States Department of Commercehttp://commerce.gov/
Authors
Department of Commerce
Description

Information on person and household broadband (high-speed Internet) use, where it is used, by what types of devices, what type of service provider, and other characteristics.

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