100+ datasets found
  1. Monthly mobile data usage per connection worldwide 2023-2030*, by region

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Monthly mobile data usage per connection worldwide 2023-2030*, by region [Dataset]. https://www.statista.com/statistics/489169/canada-united-states-average-data-usage-user-per-month/
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    North America registered the highest mobile data consumption per connection in 2023, with the average connection consuming ** gigabytes per month. This figure is set to triple by 2030, driven by the adoption of data intensive activities such as 4K streaming.

  2. Global monthly mobile data usage per smartphone 2022 and 2028*, by region

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Global monthly mobile data usage per smartphone 2022 and 2028*, by region [Dataset]. https://www.statista.com/statistics/1100854/global-mobile-data-usage-2024/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    In 2022, the average data used per smartphone per month worldwide amounted to ** gigabytes (GB). The source forecasts that this will increase almost four times reaching ** GB per smartphone per month globally in 2028.

  3. North America: daily internet usage per capita 2011-2021

    • statista.com
    Updated Jan 9, 2024
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    Statista (2024). North America: daily internet usage per capita 2011-2021 [Dataset]. https://www.statista.com/statistics/645644/north-america-daily-time-per-capita-internet/
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    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    North America
    Description

    This statistic presents the average daily time spent online by internet users in North America from 2011 to 2022. According to Zenith Optimedia, in 2018, the average daily minutes of North American internet consumption per capita amounted to 237 minutes. The majority of these daily online minutes were generated via mobile.

  4. Daily mobile internet usage per capita worldwide 2011-2021

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Daily mobile internet usage per capita worldwide 2011-2021 [Dataset]. https://www.statista.com/statistics/433877/daily-mobile-internet-usage-worldwide/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic shows the average daily usage of mobile internet worldwide. According to Zenith Optimedia, daily mobile internet usage per capita amounted to *** minutes per day in 2018, up from ** minutes in 2014. The average daily minutes of mobile internet consumption per capita is projected to increase to *** minutes in 2021.

  5. d

    Average Daily Water Consumption

    • data.gov.bh
    csv, excel, json
    Updated Mar 19, 2025
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    (2025). Average Daily Water Consumption [Dataset]. https://www.data.gov.bh/explore/dataset/average-daily-water-consumption0/
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    json, excel, csvAvailable download formats
    Dataset updated
    Mar 19, 2025
    Description

    There is no description for this dataset.

  6. Mobile_usage_dataset_individual_person

    • kaggle.com
    Updated Mar 14, 2020
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    arul08 (2020). Mobile_usage_dataset_individual_person [Dataset]. https://www.kaggle.com/arul08/mobile-usage-dataset-individual-person/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 14, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    arul08
    Description

    Do you know?

    Do you know how much time you spend on an app? Do you know the total use time of a day or average use time of an app?

    What it consists of?

    This data set consists of - how many times a person unlocks his phone. - how much time he spends on every app on every day. - how much time he spends on his phone.

    It lists the usage time of apps for each day.

    What we can do?

    Use the test data to find the Total Minutes that we can use the given app in a day. we can get a clear stats of apps usage. This data set will show you about the persons sleeping behavior as well as what app he spends most of his time. with this we can improve the productivity of the person.

    The dataset was collected from the app usage app.

  7. China CN: Water Consumption: City: Daily per Capita: Residential

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: Water Consumption: City: Daily per Capita: Residential [Dataset]. https://www.ceicdata.com/en/china/water-consumption-daily-per-capita-residential/cn-water-consumption-city-daily-per-capita-residential
    Explore at:
    Dataset updated
    Feb 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
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Materials Consumption
    Description

    China Water Consumption: City: Daily per Capita: Residential data was reported at 188.799 l in 2023. This records an increase from the previous number of 184.732 l for 2022. China Water Consumption: City: Daily per Capita: Residential data is updated yearly, averaging 178.638 l from Dec 1978 (Median) to 2023, with 46 observations. The data reached an all-time high of 220.240 l in 2000 and a record low of 120.600 l in 1978. China Water Consumption: City: Daily per Capita: Residential data remains active status in CEIC and is reported by Ministry of Housing and Urban-Rural Development. The data is categorized under China Premium Database’s Utility Sector – Table CN.RCA: Water Consumption: Daily per Capita: Residential.

  8. Average daily time spent on social media worldwide 2012-2025

    • statista.com
    Updated Jun 19, 2025
    + more versions
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    Statista (2025). Average daily time spent on social media worldwide 2012-2025 [Dataset]. https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    How much time do people spend on social media? As of 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

  9. Potable water use by sector and average daily use

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Nov 14, 2023
    + more versions
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    Government of Canada, Statistics Canada (2023). Potable water use by sector and average daily use [Dataset]. http://doi.org/10.25318/3810027101-eng
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    Dataset updated
    Nov 14, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Potable water use by sector and average daily use for Canada, provinces and territories.

  10. Average data consumption per user per month in India 2015-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Average data consumption per user per month in India 2015-2023 [Dataset]. https://www.statista.com/statistics/1114922/india-average-data-consumption-per-user-per-month/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    As of 2023, the average data consumption per user per month in India was at **** gigabytes. 4G data traffic contributes to ** percent of the overall data traffic while 5G was launched in India in October 2022. Increased online education, remote working for professionals and higher OTT viewership contributed to the data traffic growth.

  11. Chad TD: Depth of the Food Deficit: Kilocalories per Person per Day

    • ceicdata.com
    Updated Feb 28, 2018
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    CEICdata.com (2018). Chad TD: Depth of the Food Deficit: Kilocalories per Person per Day [Dataset]. https://www.ceicdata.com/en/chad/health-statistics/td-depth-of-the-food-deficit-kilocalories-per-person-per-day
    Explore at:
    Dataset updated
    Feb 28, 2018
    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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Chad
    Description

    Chad TD: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 261.000 kcal in 2016. This records a decrease from the previous number of 276.000 kcal for 2015. Chad TD: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 305.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 470.000 kcal in 1992 and a record low of 261.000 kcal in 2016. Chad TD: Depth of the Food Deficit: Kilocalories per Person per Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted average;

  12. Cameroon CM: Depth of the Food Deficit: Kilocalories per Person per Day

    • ceicdata.com
    Updated Mar 2, 2018
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    CEICdata.com (2018). Cameroon CM: Depth of the Food Deficit: Kilocalories per Person per Day [Dataset]. https://www.ceicdata.com/en/cameroon/health-statistics/cm-depth-of-the-food-deficit-kilocalories-per-person-per-day
    Explore at:
    Dataset updated
    Mar 2, 2018
    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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Cameroon
    Description

    Cameroon CM: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 63.000 kcal in 2016. This records a decrease from the previous number of 64.000 kcal for 2015. Cameroon CM: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 181.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 264.000 kcal in 1997 and a record low of 63.000 kcal in 2016. Cameroon CM: Depth of the Food Deficit: Kilocalories per Person per Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cameroon – Table CM.World Bank.WDI: Social: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted average;

  13. Georgia GE: Depth of the Food Deficit: Kilocalories per Person per Day

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Georgia GE: Depth of the Food Deficit: Kilocalories per Person per Day [Dataset]. https://www.ceicdata.com/en/georgia/health-statistics/ge-depth-of-the-food-deficit-kilocalories-per-person-per-day
    Explore at:
    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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Georgia
    Description

    Georgia GE: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 55.000 kcal in 2016. This records a decrease from the previous number of 60.000 kcal for 2015. Georgia GE: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 80.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 744.000 kcal in 1993 and a record low of 46.000 kcal in 2007. Georgia GE: Depth of the Food Deficit: Kilocalories per Person per Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted Average;

  14. s

    How Many Social Media Accounts Does The Average Person Have?

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). How Many Social Media Accounts Does The Average Person Have? [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    The average person has 8-9 social media accounts. This has doubled since 2013, when the average person just had 4-5 accounts.

  15. O

    Household Data

    • data.open-power-system-data.org
    csv, sqlite, xlsx
    Updated Apr 15, 2020
    + more versions
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    Adrian Minde (2020). Household Data [Dataset]. https://data.open-power-system-data.org/household_data/
    Explore at:
    xlsx, csv, sqliteAvailable download formats
    Dataset updated
    Apr 15, 2020
    Dataset provided by
    Open Power System Data
    Authors
    Adrian Minde
    Time period covered
    Dec 11, 2014 - May 1, 2019
    Variables measured
    interpolated, utc_timestamp, cet_cest_timestamp, DE_KN_industrial2_pv, DE_KN_industrial3_ev, DE_KN_residential1_pv, DE_KN_residential3_pv, DE_KN_residential4_ev, DE_KN_residential4_pv, DE_KN_residential6_pv, and 61 more
    Description

    Detailed household load and solar generation in minutely to hourly resolution. This data package contains measured time series data for several small businesses and residential households relevant for household- or low-voltage-level power system modeling. The data includes solar power generation as well as electricity consumption (load) in a resolution up to single device consumption. The starting point for the time series, as well as data quality, varies between households, with gaps spanning from a few minutes to entire days. All measurement devices provided cumulative energy consumption/generation over time. Hence overall energy consumption/generation is retained, in case of data gaps due to communication problems. Measurements were conducted 1-minute intervals, with all data made available in an interpolated, uniform and regular time interval. All data gaps are either interpolated linearly, or filled with data of prior days. Additionally, data in 15 and 60-minute resolution is provided for compatibility with other time series data. Data processing is conducted in Jupyter Notebooks/Python/pandas.

  16. Data from: Family food datasets

    • gov.uk
    Updated Oct 17, 2024
    + more versions
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    Department for Environment, Food & Rural Affairs (2024). Family food datasets [Dataset]. https://www.gov.uk/government/statistical-data-sets/family-food-datasets
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    Dataset updated
    Oct 17, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Environment, Food & Rural Affairs
    Description

    These family food datasets contain more detailed information than the ‘Family Food’ report and mainly provide statistics from 2001 onwards. The UK household purchases and the UK household expenditure spreadsheets include statistics from 1974 onwards. These spreadsheets are updated annually when a new edition of the ‘Family Food’ report is published.

    The ‘purchases’ spreadsheets give the average quantity of food and drink purchased per person per week for each food and drink category. The ‘nutrient intake’ spreadsheets give the average nutrient intake (eg energy, carbohydrates, protein, fat, fibre, minerals and vitamins) from food and drink per person per day. The ‘expenditure’ spreadsheets give the average amount spent in pence per person per week on each type of food and drink. Several different breakdowns are provided in addition to the UK averages including figures by region, income, household composition and characteristics of the household reference person.

    UK (updated with new FYE 2023 data)

    countries and regions (CR) (updated with FYE 2022 data)

    equivalised income decile group (EID) (updated with FYE 2022 data)

  17. d

    CT School Learning Model Indicators by County (7-day metrics) - ARCHIVE

    • catalog.data.gov
    • data.ct.gov
    • +1more
    Updated Aug 12, 2023
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    data.ct.gov (2023). CT School Learning Model Indicators by County (7-day metrics) - ARCHIVE [Dataset]. https://catalog.data.gov/dataset/ct-school-learning-model-indicators-by-county-7-day-metrics-archive
    Explore at:
    Dataset updated
    Aug 12, 2023
    Dataset provided by
    data.ct.gov
    Area covered
    Connecticut
    Description

    DPH note about change from 7-day to 14-day metrics: As of 10/15/2020, this dataset is no longer being updated. Starting on 10/15/2020, the school learning model indicator metrics will be calculated using a 14-day average rather than a 7-day average. The new school learning model indicators dataset using 14-day averages can be accessed here: https://data.ct.gov/Health-and-Human-Services/CT-School-Learning-Model-Indicators-by-County-14-d/e4bh-ax24 As you know, we are learning more about COVID-19 all the time, including the best ways to measure COVID-19 activity in our communities. CT DPH has decided to shift to 14-day rates because these are more stable, particularly at the town level, as compared to 7-day rates. In addition, since the school indicators were initially published by DPH last summer, CDC has recommended 14-day rates and other states (e.g., Massachusetts) have started to implement 14-day metrics for monitoring COVID transmission as well. With respect to geography, we also have learned that many people are looking at the town-level data to inform decision making, despite emphasis on the county-level metrics in the published addenda. This is understandable as there has been variation within counties in COVID-19 activity (for example, rates that are higher in one town than in most other towns in the county). This dataset includes the leading and secondary metrics identified by the Connecticut Department of Health (DPH) and the Department of Education (CSDE) to support local district decision-making on the level of in-person, hybrid (blended), and remote learning model for Pre K-12 education. Data represent daily averages for each week by date of specimen collection (cases and positivity), date of hospital admission, or date of ED visit. Hospitalization data come from the Connecticut Hospital Association and are based on hospital location, not county of patient residence. COVID-19-like illness includes fever and cough or shortness of breath or difficulty breathing or the presence of coronavirus diagnosis code and excludes patients with influenza-like illness. All data are preliminary. These data are updated weekly; the previous week period for each dataset is the previous Sunday-Saturday, known as an MMWR week (https://wwwn.cdc.gov/nndss/document/MMWR_week_overview.pdf). The date listed is the date the dataset was last updated and corresponds to a reporting period of the previous MMWR week. For instance, the data for 8/20/2020 corresponds to a reporting period of 8/9/2020-8/15/2020. These metrics were adapted from recommendations by the Harvard Global Institute and supplemented by existing DPH measures. For national data on COVID-19, see COVID View, the national weekly surveillance summary of U.S. COVID-19 activity, at https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html Notes: 9/25/2020: Data for Mansfield and Middletown for the week of Sept 13-19 were unavailable at the time of reporting due to delays in lab reporting.

  18. s

    Average Time Spent On TikTok USA

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Average Time Spent On TikTok USA [Dataset]. https://www.searchlogistics.com/learn/statistics/tiktok-user-statistics/
    Explore at:
    Dataset updated
    Apr 1, 2025
    License

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

    Description

    The average adult TikTok user in America spends 33 minutes per day on the app.

  19. U

    USA LPG consumption - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Apr 27, 2015
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    Globalen LLC (2015). USA LPG consumption - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/USA/lpg_consumption/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Apr 27, 2015
    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, 1980 - Dec 31, 2023
    Area covered
    United States
    Description

    The USA: Liquefied petroleum gas consumption, thousand barrels per day: The latest value from 2023 is 1350.08 thousand barrels per day, an increase from 1338.02 thousand barrels per day in 2022. In comparison, the world average is 57.49 thousand barrels per day, based on data from 190 countries. Historically, the average for the USA from 1980 to 2023 is 1282.07 thousand barrels per day. The minimum value, 984.06 thousand barrels per day, was reached in 1984 while the maximum of 1469 thousand barrels per day was recorded in 1980.

  20. M

    Morocco MA: Depth of the Food Deficit: Kilocalories per Person per Day

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Morocco MA: Depth of the Food Deficit: Kilocalories per Person per Day [Dataset]. https://www.ceicdata.com/en/morocco/health-statistics/ma-depth-of-the-food-deficit-kilocalories-per-person-per-day
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Morocco
    Description

    Morocco MA: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 31.000 kcal in 2016. This records a decrease from the previous number of 33.000 kcal for 2015. Morocco MA: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 41.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 54.000 kcal in 1995 and a record low of 31.000 kcal in 2016. Morocco MA: Depth of the Food Deficit: Kilocalories per Person per Day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted Average;

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Statista (2025). Monthly mobile data usage per connection worldwide 2023-2030*, by region [Dataset]. https://www.statista.com/statistics/489169/canada-united-states-average-data-usage-user-per-month/
Organization logo

Monthly mobile data usage per connection worldwide 2023-2030*, by region

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 1, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
Worldwide
Description

North America registered the highest mobile data consumption per connection in 2023, with the average connection consuming ** gigabytes per month. This figure is set to triple by 2030, driven by the adoption of data intensive activities such as 4K streaming.

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