100+ datasets found
  1. United States internet penetration 2000-2025

    • statista.com
    • ai-chatbox.pro
    Updated Apr 29, 2025
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    Statista (2025). United States internet penetration 2000-2025 [Dataset]. https://www.statista.com/statistics/209117/us-internet-penetration/
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    Dataset updated
    Apr 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of 2025, approximately 93.1 percent of the United States' population accessed the internet, up from approximately 71 percent in 2013. The United States is one of the biggest online markets worldwide. Additionally, in 2025, over 322 million individuals in the country went online. Furthermore, social media apps were among the most popular category of mobile apps used in the market. Social media usage in the U.S. Social media usage in the United States has seen significant growth in recent years, amassing 310 million as of 2025. By the third quarter of 2024, internet users in the U.S. were spending around two hours on social media out of seven hours of internet usage. The most common activities among U.S. users include sending private messages and liking posts or following people, which highlights widespread engagement with social media platforms among internet users in the United States. TikTok surge in the U.S. TikTok continues to be one of the most popular social media platforms in the United States. As of February 2025, over 135 million individuals or 45 percent of internet users in the country used the social network. This surge in popularity is the result of user’s high engagement with short-form videos and quick entertainment in which TikTok managed to capture users’ attention. Users in the United States spent an average of 45 hours and 37 minutes monthly in 2023.

  2. Cary Broadband Internet Access

    • catalog.data.gov
    • data.townofcary.org
    • +2more
    Updated Oct 19, 2024
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    U.S. Census Bureau (2024). Cary Broadband Internet Access [Dataset]. https://catalog.data.gov/dataset/cary-broadband-internet-access-american-community-survey
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    Dataset updated
    Oct 19, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Cary
    Description

    Part of the What Works Cities criterion to achieve Certification, we need to meet the industry standard of at least 75% of our households have subscriptions / access to high-speed broadband servicesPart of the American Community Survey (ACS) asks the levels of internet access residents have. We use the 5-Year Estimates to have a greater level of precision to our data, according to the Distinguishing features of ACS 1-year, 1-year supplemental, 3-year, and 5-year estimates table.We query attributes of the DP02 (Selected Social Characteristics in the United States) Group of questions for years available.This dataset has been narrowed down to Cary township using following the geographies codes supported for the ACS dataset:state: 37county: 183county subdivision: 90536

  3. Internet penetration in Latin America and the Caribbean 2025, by country

    • statista.com
    Updated Jun 19, 2025
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    Statista (2025). Internet penetration in Latin America and the Caribbean 2025, by country [Dataset]. https://www.statista.com/statistics/726145/latin-america-internet-penetration-countries/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Caribbean, Americas, Latin America, LAC
    Description

    As of the second month of 2025, more than * out of 10 people living in the Bahamas, Chile, Uruguay, Costa Rica, and Argentina were online, putting the countries in the top position regarding internet access in Latin America. Meanwhile, more than ** percent of the populations of the Dominican Republic, Puerto Rico, and Brazil were online. On the other hand, less than **** of the population of Haiti had access to the internet. Overall, the internet penetration rate in Latin America stood at **** percent. Growth in mobile connectivity… With investments in 4G infrastructure forecast to reach around ***** billion U.S. dollars by 2030, the improvement of mobile connectivity is radically changing the picture of access to the internet in Latin America and the Caribbean. One of the best examples is Peru, where the gap between urban and rural areas has greatly diminished in 2021, making its online audiences the fifth largest on the continent in 2025. …at an unequal rate Despite the improvements, Latin America and the Caribbean still face an enormous gap in internet access: the internet penetration rate in the subregion of South America was **** percent in 2025, while only **** percent of people in the Caribbean had access to the web. Despite its investments in mobile connectivity, most of the web traffic in Venezuela still originated from desktop devices in 2023, and only ***** Ecuadorians had access to mobile internet in 2025.

  4. ACS Internet Access by Education Variables - Boundaries

    • covid-hub.gio.georgia.gov
    • mapdirect-fdep.opendata.arcgis.com
    • +2more
    Updated Dec 7, 2018
    + more versions
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    Esri (2018). ACS Internet Access by Education Variables - Boundaries [Dataset]. https://covid-hub.gio.georgia.gov/maps/62faad5b76b04b90adf47c020d7406ba
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    Dataset updated
    Dec 7, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer shows computer ownership and internet access by education. 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 the population age 25+ who are high school graduates (includes equivalency) and have some college or associate's degree in households that have 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: 2019-2023ACS Table(s): B28006 Data 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.

  5. c

    Internet Connectivity

    • data.clevelandohio.gov
    Updated Aug 21, 2023
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    Cleveland | GIS (2023). Internet Connectivity [Dataset]. https://data.clevelandohio.gov/datasets/ClevelandGIS::demographic-profiles?layer=7
    Explore at:
    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description
    This layer shows computer ownership and type of internet subscription. 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 percentage of households with no internet connection. 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: 2019-2023
    ACS Table(s): B28001, B28002 (Not all lines of ACS table B28002 are available in this feature layer)

    The United States Census Bureau's American Community Survey (ACS):
    This 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 2022 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 Rico
    • Census 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.

  6. F

    Internet users for the United States

    • fred.stlouisfed.org
    json
    Updated Mar 26, 2025
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    (2025). Internet users for the United States [Dataset]. https://fred.stlouisfed.org/series/ITNETUSERP2USA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Internet users for the United States (ITNETUSERP2USA) from 1990 to 2023 about internet, persons, and USA.

  7. Latin America & the Caribbean: internet penetration 2024, by region

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Latin America & the Caribbean: internet penetration 2024, by region [Dataset]. https://www.statista.com/statistics/934738/penetration-rate-internet-latin-america-region/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    LAC, Latin America
    Description

    As of January 2024, more than ** percent of South Americans had access to the internet, whereas the same could be said for **** percent of the Caribbean population. Mobile devices represented the largest shares of internet access across Latin America throughout 2023.

  8. 6

    North America Broadband Internet Access Services Market (2025 - 2031) |...

    • test.6wresearch.com
    excel, pdf,ppt,csv
    Updated Apr 15, 2025
    + more versions
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    6Wresearch (2025). North America Broadband Internet Access Services Market (2025 - 2031) | Trends, Outlook & Forecast [Dataset]. https://www.test.6wresearch.com/industry-report/north-america-broadband-internet-access-services-market
    Explore at:
    excel, pdf,ppt,csvAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    6Wresearch
    License

    https://www.6wresearch.com/privacy-policyhttps://www.6wresearch.com/privacy-policy

    Area covered
    United States
    Variables measured
    By Type (C Band, Ku Band, Ka Band),, By Connection (Fiber Optic, Wireless, Satellite, Cable),, By End User (Business, Household) And Competitive Landscape, By Countries (United States (US), Canada, Rest of North America),, By Application (VoIP (Voice over Internet Protocol), Internet TV, Smart Home Application, Remote Education, Virtual Private LAN Service, Interactive Gaming, VPN on Broadband),
    Description

    North America Broadband Internet Access Services Market is expected to grow during 2025-2031

  9. ACS Internet Access by Income Variables - Boundaries

    • hub.arcgis.com
    Updated Nov 16, 2020
    + more versions
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    Esri (2020). ACS Internet Access by Income Variables - Boundaries [Dataset]. https://hub.arcgis.com/maps/9edc0cbeeb2a4259910e158dfba01881
    Explore at:
    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. United States: number of internet users 2015-2025

    • statista.com
    Updated Apr 29, 2025
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    Statista (2025). United States: number of internet users 2015-2025 [Dataset]. https://www.statista.com/statistics/276445/number-of-internet-users-in-the-united-states/
    Explore at:
    Dataset updated
    Apr 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of February 2025, around 322 million people in the United States accessed the internet, making it one of the largest online markets worldwide. The country currently ranks third after China and India by the online audience size. Overview of internet usage in the United States The digital population in the United States has constantly increased in recent years. Among the most common reasons is the growing accessibility of broadband internet. A big part of the country's digital audience accesses the web via mobile phones. In 2024, the country saw an estimated 97.1 percent mobile internet user penetration. According to a 2024 survey, over 51 percent of U.S. women and 43 percent of men said it is important to them to have mobile internet access anywhere, at any time. Another 41 percent of respondents could not imagine their everyday life without the internet. Google and YouTube are the most visited websites in the country, while music, food, and drinks were the most discussed online topics. Internet usage demographics in the United States While some users can no longer imagine their life without the internet, others do not use it at all. According to 2021 data, 25 percent of U.S. adults 65 and older reported not using the internet. Despite this, online usage was strong across other age groups, especially young adults aged 18 to 49. This age group also reported the highest percentage of smartphone usage in the country as of 2023. Due to a persistent lack of connectivity in rural areas, more online users were based in urban areas of the U.S. than in the countryside.

  11. F

    Producer Price Index by Commodity: Telecommunication, Cable, and Internet...

    • fred.stlouisfed.org
    json
    Updated Jul 16, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Telecommunication, Cable, and Internet User Services: Internet Access Services [Dataset]. https://fred.stlouisfed.org/series/WPU3741
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Commodity: Telecommunication, Cable, and Internet User Services: Internet Access Services (WPU3741) from Mar 2009 to Jun 2025 about telecom, internet, services, commodities, PPI, inflation, price index, indexes, price, and USA.

  12. ACS Internet Access by Age and Race Variables - Boundaries

    • coronavirus-resources.esri.com
    • resilience.climate.gov
    • +6more
    Updated Dec 7, 2018
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    Esri (2018). ACS Internet Access by Age and Race Variables - Boundaries [Dataset]. https://coronavirus-resources.esri.com/maps/5a1b51d3c6374c3cbb7c9ff7acdba16b
    Explore at:
    Dataset updated
    Dec 7, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    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: 2019-2023ACS 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: 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.

  13. U.S. households with internet subscription 1997-2022

    • statista.com
    Updated Dec 13, 2023
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    Statista (2023). U.S. households with internet subscription 1997-2022 [Dataset]. https://www.statista.com/statistics/189349/us-households-home-internet-connection-subscription/
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    Dataset updated
    Dec 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to United States census data, 91.2 percent of all U.S. households reported having some form internet subscription in 2022. This was up from 90.3 percent of households in 2021.

  14. G

    Internet users in Latin America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 27, 2021
    + more versions
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    Globalen LLC (2021). Internet users in Latin America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/internet_users/Latin-Am/
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    excel, xml, csvAvailable download formats
    Dataset updated
    Jan 27, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    World, Latin America
    Description

    The average for 2023 based on 7 countries was 83.51 percent. The highest value was in Chile: 94.12 percent and the lowest value was in Ecuador: 72.69 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

  15. O

    High Speed Internet Access

    • data.oaklandca.gov
    application/rdfxml +5
    Updated Jul 13, 2018
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    American Community Survey, 1-year PUMS (2018). High Speed Internet Access [Dataset]. https://data.oaklandca.gov/Equity-Indicators/High-Speed-Internet-Access/uwet-u5j2
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    csv, xml, application/rdfxml, application/rssxml, tsv, jsonAvailable download formats
    Dataset updated
    Jul 13, 2018
    Dataset authored and provided by
    American Community Survey, 1-year PUMS
    Description

    This Indicator measures the percent of individuals living in housing units without access to high speed Internet, defined as broadband Internet service such as cable, fiber optic, or DSL service.

  16. Mexico Fixed Internet Access: América Móvil

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico Fixed Internet Access: América Móvil [Dataset]. https://www.ceicdata.com/en/mexico/number-of-fixed-internet-access-by-contract/fixed-internet-access-amrica-mvil
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    Dataset updated
    Jan 15, 2025
    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
    Oct 1, 2018 - Sep 1, 2019
    Area covered
    Mexico
    Description

    Mexico Fixed Internet Access: América Móvil data was reported at 9.710 Unit mn in Sep 2019. This records a decrease from the previous number of 9.722 Unit mn for Aug 2019. Mexico Fixed Internet Access: América Móvil data is updated monthly, averaging 9.039 Unit mn from Jan 2013 (Median) to Sep 2019, with 81 observations. The data reached an all-time high of 9.732 Unit mn in Jul 2019 and a record low of 8.379 Unit mn in Dec 2014. Mexico Fixed Internet Access: América Móvil data remains active status in CEIC and is reported by Federal Telecommunications Institute. The data is categorized under Global Database’s Mexico – Table MX.TB014: Number of Fixed Internet Access: by Contract.

  17. F

    Real personal consumption expenditures: Services: Internet access...

    • fred.stlouisfed.org
    json
    Updated Mar 27, 2025
    + more versions
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    (2025). Real personal consumption expenditures: Services: Internet access (chain-type quantity index) [Dataset]. https://fred.stlouisfed.org/series/DINTRA3A086NBEA
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    jsonAvailable download formats
    Dataset updated
    Mar 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Real personal consumption expenditures: Services: Internet access (chain-type quantity index) (DINTRA3A086NBEA) from 1987 to 2024 about internet, quantity index, chained, PCE, consumption expenditures, consumption, personal, services, real, GDP, and USA.

  18. ACS Internet Connectivity Variables - Boundaries

    • gis-fema.hub.arcgis.com
    • opendata.suffolkcountyny.gov
    • +5more
    Updated Dec 10, 2018
    + more versions
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    Esri (2018). ACS Internet Connectivity Variables - Boundaries [Dataset]. https://gis-fema.hub.arcgis.com/maps/esri::acs-internet-connectivity-variables-boundaries
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    Dataset updated
    Dec 10, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer shows computer ownership and type of internet subscription. 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 percentage of households with no internet connection. 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): B28001, B28002 (Not all lines of ACS table B28002 are available in this feature layer)Data 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.

  19. Latin America: Internet access revenue 2015-2021

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Latin America: Internet access revenue 2015-2021 [Dataset]. https://www.statista.com/statistics/236562/internet-access-spending-in-latin-america-since-2006/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Latin America, LAC
    Description

    The timeline shows internet access revenue in Latin America in 2015 and 2016 as well as a forecast thereof until 2021. The source projected that the revenue would amount to **** billion U.S. dollars in 2021, up from **** billion in 2015.

  20. Internet access by type of Internet connection, industry, and size of...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Sep 17, 2024
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    Government of Canada, Statistics Canada (2024). Internet access by type of Internet connection, industry, and size of enterprise [Dataset]. http://doi.org/10.25318/2210011601-eng
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    Dataset updated
    Sep 17, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Percentage of enterprises using specific connection types to access the Internet by the North American Industry Classification System (NAICS) and size of enterprise.

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Statista (2025). United States internet penetration 2000-2025 [Dataset]. https://www.statista.com/statistics/209117/us-internet-penetration/
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United States internet penetration 2000-2025

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31 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 29, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

As of 2025, approximately 93.1 percent of the United States' population accessed the internet, up from approximately 71 percent in 2013. The United States is one of the biggest online markets worldwide. Additionally, in 2025, over 322 million individuals in the country went online. Furthermore, social media apps were among the most popular category of mobile apps used in the market. Social media usage in the U.S. Social media usage in the United States has seen significant growth in recent years, amassing 310 million as of 2025. By the third quarter of 2024, internet users in the U.S. were spending around two hours on social media out of seven hours of internet usage. The most common activities among U.S. users include sending private messages and liking posts or following people, which highlights widespread engagement with social media platforms among internet users in the United States. TikTok surge in the U.S. TikTok continues to be one of the most popular social media platforms in the United States. As of February 2025, over 135 million individuals or 45 percent of internet users in the country used the social network. This surge in popularity is the result of user’s high engagement with short-form videos and quick entertainment in which TikTok managed to capture users’ attention. Users in the United States spent an average of 45 hours and 37 minutes monthly in 2023.

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