100+ datasets found
  1. Daily social media usage worldwide 2012-2020

    • statista.com
    Updated Jun 25, 2025
    + more versions
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    Statista (2025). Daily social media usage worldwide 2012-2020 [Dataset]. https://www.statista.com/statistics/1248450/daily-social-media-usage-worldwide/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    How much time do people spend on social media? As of 2019 and 2020, the average daily social media usage of internet users worldwide amounted to *** minutes per day, up from *** minutes in the previous year. Currently, the country with the most time spent on social media per day is the Philippines, with online users spending an average of ***** hours and ** minute on social media each day. In comparison, the daily time spent with social media in the U.S. was just *** hours and ***** minutes. Global social media usageCurrently, the global social network penetration rate is nearly ** percent. Western Europe had a ** percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with *** and ***** 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 flipside, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

  2. Number of e-mails per day worldwide 2018-2027

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). Number of e-mails per day worldwide 2018-2027 [Dataset]. https://www.statista.com/statistics/456500/daily-number-of-e-mails-worldwide/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    With the internet becoming increasingly accessible, the number of e-mails sent and received globally has increased each year since 2017. In 2022, there were an estimated 333 billion e-mails sent and received daily around the world. This figure is projected to increase to 392.5 billion daily e-mails by 2026.

    E-Mail marketing Despite the increasing popularity of messengers, chat apps and social media, e-mail has managed to remain central to digital communication and continues to grow in uptake. By 2025, the number of global e-mail users is expected to reach a total of 4.6 billion - an approximate six hundred thousand increase in users, up from 4 billion in 2020. Not only that, when it comes to online advertising e-mail has seen higher click-through-rates than on social media. In Belgium and Germany, these were 5.5 and 4.3 percent respectively - compared to the 1.3 percent global average CTR for social media during the same time period.

    Gmail Launched in April 2004, Google’s Gmail has earned its spot as one of the most popular freemail services in the world. According to a 2019 survey, its popularity worldwide was trumped only by Apple’s native iPhone Mail app with 26 percent of all e-mail opens worldwide taking place on the platform. Millennials surveyed in the United Kingdom listed Gmail among their top 5 most important mobile apps, while a similar survey carried out in Sweden saw Gmail tie with WhatsApp for a spot among the top mobile apps nationwide.

  3. c

    Number of Daily Deaths in U.S. (1950-2025)

    • consumershield.com
    csv
    Updated Jun 11, 2025
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    ConsumerShield Research Team (2025). Number of Daily Deaths in U.S. (1950-2025) [Dataset]. https://www.consumershield.com/articles/how-many-deaths-every-day-us
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    csvAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    ConsumerShield Research Team
    License

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

    Area covered
    United States
    Description

    The graph illustrates the number of deaths per day in the United States from 1950 to 2025. The x-axis represents the years, abbreviated from '50 to '24, while the y-axis indicates the daily number of deaths. Over this 75-year period, the number of deaths per day ranges from a low of 4,054 in 1950 to a high of 9,570 in 2021. Notable figures include 6,855 deaths in 2010 and 8,333 in 2024. The data shows a general upward trend in daily deaths over the decades, with recent years experiencing some fluctuations. This information is presented in a line graph format, effectively highlighting the long-term trends and yearly variations in daily deaths across the United States.

  4. M

    World Death Rate (1950-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). World Death Rate (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/countries/wld/world/death-rate
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1950 - Dec 31, 2025
    Area covered
    World, World
    Description

    Historical chart and dataset showing World death rate by year from 1950 to 2025.

  5. COVID-19 Worldwide Daily Data

    • kaggle.com
    Updated Aug 28, 2020
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    Altadata (2020). COVID-19 Worldwide Daily Data [Dataset]. https://www.kaggle.com/altadata/covid19/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 28, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Altadata
    Description

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F5505749%2F2b83271d61e47e2523e10dc9c28e545c%2F600x200.jpg?generation=1599042483103679&alt=media" alt="">

    ALTADATA is a curated data marketplace where our subscribers and our data partners can easily exchange ready-to-analyze datasets and create insights with EPO, our visual data analytics platform.

    COVID-19 Worldwide Daily Data

    Daily global COVID-19 data for all countries, provided by Johns Hopkins University (JHU) Center for Systems Science and Engineering (CSSE). If you want to use the update version of the data, you can use our daily updated data with the help of api key by entering it via Altadata.

    Overview

    In this data product, you may find the latest and historical global daily data on the COVID-19 pandemic for all countries.

    The COVID‑19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus disease 2019 (COVID‑19), caused by severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2). The outbreak was first identified in December 2019 in Wuhan, China. The World Health Organization declared the outbreak a Public Health Emergency of International Concern on 30 January 2020 and a pandemic on 11 March. As of 12 August 2020, more than 20.2 million cases of COVID‑19 have been reported in more than 188 countries and territories, resulting in more than 741,000 deaths; more than 12.5 million people have recovered.

    The Johns Hopkins Coronavirus Resource Center is a continuously updated source of COVID-19 data and expert guidance. They aggregate and analyze the best data available on COVID-19 - including cases, as well as testing, contact tracing and vaccine efforts - to help the public, policymakers and healthcare professionals worldwide respond to the pandemic.

    Methodology

    • Cases and Death counts include confirmed and probable (where reported)
    • Recovered cases are estimates based on local media reports, and state and local reporting when available, and therefore may be substantially lower than the true number. US state-level recovered cases are from COVID Tracking Project.
    • Active cases = total cases - total recovered - total deaths
    • Incidence Rate = cases per 100,000 persons
    • Case-Fatality Ratio (%) = Number recorded deaths / Number cases
    • Country Population represents 2019 projections by UN Population Division, integrated to the JHU CSSE's COVID-19 data by ALTADATA

    Data Source

    Related Data Products

    Suggested Blog Posts

    Data Dictionary

    • Reported Date (reported_date) : Covid-19 Report Date
    • Country_Region (country_region) : Country, region or sovereignty name
    • Population (population) : Country populations as per United Nations Population Division
    • Confirmed Case (confirmed) : Confirmed cases include presumptive positive cases and probable cases
    • Active cases (active) : Active cases = total confirmed - total recovered - total deaths
    • Deaths (deaths) : Death cases counts
    • Recovered (recovered) : Recovered cases counts
    • Mortality Rate (mortality_rate) : Number of recorded deaths * 100 / Number of confirmed cases
    • Incident Rate (incident_rate) : Confirmed cases per 100,000 persons
  6. Average number of COVID-19 deaths in last 7 days in select countries, Mar....

    • statista.com
    Updated Aug 24, 2020
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    Statista (2020). Average number of COVID-19 deaths in last 7 days in select countries, Mar. 1-Oct. 27 [Dataset]. https://www.statista.com/statistics/1111867/trailing-seven-day-average-number-of-covid-19-deaths-select-countries-worldwide/
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    Dataset updated
    Aug 24, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - Oct 27, 2020
    Area covered
    Worldwide
    Description

    The seven-day average number of COVID-19 deaths in the U.S. decreased significantly from April to July 2020, but it remained higher than in other countries. Seven-day rolling averages are used to adjust for administrative delays in the reporting of deaths by authorities, commonly over weekends.

    The challenges of tracking and reporting the disease The U.S. confirmed its first coronavirus case in mid-January 2020 – the virus was detected in a passenger who arrived in Seattle from China. Since that first case, around 945 people have died every day from COVID-19 in the United States as of August 23, 2020. In total, the U.S. has recorded more coronavirus deaths than any other country worldwide. Accurately tracking the number of COVID-19 deaths has proved complicated, with countries having different rules for what deaths to include in their official figures. Some nations have even changed which deaths they can attribute to the disease during the pandemic.

    Young people urged to act responsibly Between January and May 2020, case fatality rates among COVID-19 patients in the United States increased with age, highlighting the particular risks faced by the elderly. However, COVID-19 is not only a disease that affects older adults. Surges in the number of new cases throughout July 2020 were blamed on young people. The World Health Organization has urged young people not to become complacent, reminding them to maintain social distancing guidelines and take precautions to protect themselves and others.

  7. G

    Death rate by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 13, 2015
    + more versions
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    Globalen LLC (2015). Death rate by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/Death_rate/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Jan 13, 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, 1960 - Dec 31, 2022
    Area covered
    World, World
    Description

    The average for 2022 based on 195 countries was 8.37 deaths per 1000 people. The highest value was in Ukraine: 21.4 deaths per 1000 people and the lowest value was in Qatar: 1.08 deaths per 1000 people. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

  8. Data interactions per person per day worldwide 2010-2025

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Data interactions per person per day worldwide 2010-2025 [Dataset]. https://www.statista.com/statistics/948840/worldwide-data-interactions-daily-per-capita/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2018
    Area covered
    Worldwide
    Description

    This statistic shows the daily digital data engagement interactions per person worldwide from 2010 to 2025. The average number of data interactions per connected person per day is expected to increase dramatically, from *** interactions per day in 2010 to almost ************* interactions per day by 2025.

  9. Global Historical Climatology Network - Daily (GHCN-Daily), Version 2...

    • catalog.data.gov
    • data.cnra.ca.gov
    • +3more
    Updated Sep 19, 2023
    + more versions
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    DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce (Point of Contact) (2023). Global Historical Climatology Network - Daily (GHCN-Daily), Version 2 (Version Superseded) [Dataset]. https://catalog.data.gov/dataset/global-historical-climatology-network-daily-ghcn-daily-version-2-version-superseded1
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    Dataset updated
    Sep 19, 2023
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Environmental Satellite, Data, and Information Service
    Description

    Please note, this dataset has been superseded by a newer version (see below). Users should not use this version except in rare cases (e.g., when reproducing previous studies that used this version). The Global Historical Climatology Network - Daily (GHCN-Daily) dataset addresses the need for historical daily records over global land areas. Like its monthly counterpart (GHCN-Monthly), GHCN-Daily is a composite of climate records from numerous sources that were merged and then subjected to a suite of quality assurance reviews. The meteorological elements measured for the data set include, but are not limited to, daily maximum and minimum temperature, temperature at the time of observation, precipitation (i.e., rainfall and snow water equivalent), snowfall and snow depth. GHCN-Daily serves as the official archive for daily data from the Global Climate Observing System (GCOS) Surface Network (GSN) and is particularly well suited for monitoring and assessment activities related to the frequency and magnitude of extremes. Sources for the GHCN-Daily data set include, but are not limited, to U.S. Cooperative Summary of the Day, U.S. Fort data, U.S. Climate Reference Network, Community Collaborative Rain, Hail and Snow Network, and numerous international sources. The dataset contains measurements from over 75,000 stations worldwide,about two thirds of which are for precipitation measurement only. Approximately 8500 are regularly updated with observations from within the last month. While most of these sites report precipitation, daily maximum and minimum temperatures are available at more than 25,000 of them, and over 24,000 contain records of snowfall and/or snow depth. The process of integrating data from multiple sources into the GHCN-Daily dataset takes place in three steps: screening the source data for stations whose identity is unknown or questionable; classifying each station in a source dataset either as one that is already represented in GHCN-Daily or as a new site; and mingling the data from the different sources. The first two of these steps are performed whenever a new source dataset or additional stations become available, while the actual mingling of data is part of the automated processing that creates GHCN-Daily on a regular basis. GHCN-Daily data are subject to a suite of quality assurance checks. The checks consist of several types of carefully evaluated tests that detect duplicated data, climatological outliers, and various inconsistencies (internal, temporal, and spatial). Manual review of random samples of flagged values was used to set the threshold for each procedure such that the tests false-positive rate is minimized. In addition, the tests are performed in a deliberate sequence in an effort to enhance the performance of the later checks by detecting errors with the checks applied earlier in the sequence.

  10. Daily time spent online by users worldwide Q3 2024, by region

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Daily time spent online by users worldwide Q3 2024, by region [Dataset]. https://www.statista.com/statistics/1258232/daily-time-spent-online-worldwide/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    As of the third quarter of 2024, internet users in South Africa spent more than **** hours and ** minutes online per day, ranking first among the regions worldwide. Brazil followed, with roughly **** hours of daily online usage. As of the examined period, Japan registered the lowest number of daily hours spent online, with users in the country spending an average of over **** hours per day using the internet. The data includes the daily time spent online on any device. Social media usage In recent years, social media has become integral to internet users' daily lives, with users spending an average of *** minutes daily on social media activities. In April 2024, global social network penetration reached **** percent, highlighting its widespread adoption. Among the various platforms, YouTube stands out, with over *** billion monthly active users, making it one of the most popular social media platforms. YouTube’s global popularity In 2023, the keyword "YouTube" ranked among the most popular search queries on Google, highlighting the platform's immense popularity. YouTube generated most of its traffic through mobile devices, with about 98 billion visits. This popularity was particularly evident in the United Arab Emirates, where YouTube penetration reached approximately **** percent, the highest in the world.

  11. s

    Average Time Spent On TikTok: Worldwide Statistics

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

    Globally the average user spends 52 minutes on TikTok every day. About 90% of their worldwide users access TikTok on a daily basis.

  12. d

    International COVID Data

    • catalog.data.gov
    Updated Aug 12, 2023
    + more versions
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    data.bloomington.in.gov (2023). International COVID Data [Dataset]. https://catalog.data.gov/dataset/international-covid-data-4fd3d
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    data.bloomington.in.gov
    Description

    Daily COVID-19 reports from Johns Hopkins University Center for Systems Science and Engineering. This dataset is generated by calculating differences of each cumulative daily report from the previous day to identify daily changes in the number of confirmed, active, recovered, and fatal cases. This dataset reports from after CSSE changed its daily report schema on March 22.

  13. Data from: Global Historical Climatology Network - Daily (GHCN-Daily),...

    • catalog.data.gov
    • data.cnra.ca.gov
    • +3more
    Updated Sep 1, 2024
    + more versions
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    DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce (Point of Contact) (2024). Global Historical Climatology Network - Daily (GHCN-Daily), Version 3 [Dataset]. https://catalog.data.gov/dataset/global-historical-climatology-network-daily-ghcn-daily-version-32
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    Dataset updated
    Sep 1, 2024
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Environmental Satellite, Data, and Information Service
    Description

    The Global Historical Climatology Network - Daily (GHCN-Daily/GHCNd) dataset integrates daily climate observations from approximately 30 different data sources. Version 3 was released in September 2012 with the addition of data from two additional station networks. Changes to the processing system associated with the version 3 release also allowed for updates to occur 7 days a week rather than only on most weekdays. Version 3 contains station-based measurements from well over 90,000 land-based stations worldwide, about two thirds of which are for precipitation measurement only. Other meteorological elements include, but are not limited to, daily maximum and minimum temperature, temperature at the time of observation, snowfall and snow depth. Over 25,000 stations are regularly updated with observations from within roughly the last month. The dataset is also routinely reconstructed (usually every week) from its roughly 30 data sources to ensure that GHCNd is generally in sync with its growing list of constituent sources. During this process, quality assurance checks are applied to the full dataset. Where possible, GHCNd station data are also updated daily from a variety of data streams. Station values for each daily update also undergo a suite of quality checks.

  14. COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

    • statista.com
    • ai-chatbox.pro
    Updated Nov 25, 2024
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    Statista (2024). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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    Dataset updated
    Nov 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

    The difficulties of death figures

    This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

    Where are these numbers coming from?

    The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

  15. s

    Global Monthly Active Users Worldwide

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Global Monthly Active Users Worldwide [Dataset]. https://www.searchlogistics.com/learn/statistics/tiktok-user-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

    There are currently over 1.5 billion active users on TikTok worldwide.

  16. Average daily time spent on social media worldwide 2012-2024

    • davegsmith.com
    • statista.com
    • +1more
    Updated Jul 16, 2024
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    Stacy Jo Dixon (2024). Average daily time spent on social media worldwide 2012-2024 [Dataset]. http://davegsmith.com/index-20.html
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    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Area covered
    World
    Description

    How much time do people spend on social media? As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 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 three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just two 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.

  17. International Surface Temperature Initiative (ISTI) Global Land Surface...

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Sep 19, 2023
    + more versions
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    NOAA National Centers for Environmental Information (Point of Contact); DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce (Point of Contact) (2023). International Surface Temperature Initiative (ISTI) Global Land Surface Temperature Databank - Stage 1 Daily [Dataset]. https://catalog.data.gov/dataset/international-surface-temperature-initiative-isti-global-land-surface-temperature-databank-stag11
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    Dataset updated
    Sep 19, 2023
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Environmental Satellite, Data, and Information Service
    Description

    The global land surface temperature databank contains monthly timescale mean, max, and min temperature for approximately 40,000 stations globally. It was developed as part of the International Surface Temperature Initiative. This is the global repository for all monthly timescale land surface observations from the 1800s to present and uses data deriving from sub-daily, daily, and monthly observations. It brings together data from more than 45 sources and is used in the creation of various integrated global temperature resources, most notably Global Historical Climatology Network Monthly (GHCN-M) v4. Daily Data is purposefully provided as raw, non-homogenized observations with no integrated quality control performed. Data are submitted as-is from the data provider to ensure absolute data integrity and visibility of the data.

  18. Monthly Summaries of the Global Historical Climatology Network - Daily...

    • catalog.data.gov
    • data.cnra.ca.gov
    • +4more
    Updated Sep 19, 2023
    + more versions
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    NOAA National Centers for Environmental Information (Point of Contact) (2023). Monthly Summaries of the Global Historical Climatology Network - Daily (GHCN-D) [Dataset]. https://catalog.data.gov/dataset/monthly-summaries-of-the-global-historical-climatology-network-daily-ghcn-d2
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    Dataset updated
    Sep 19, 2023
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    Monthly Summaries of Global Historical Climatology Network (GHCN)-Daily is a dataset derived from GHCN-Daily. The data are produced by computing simple averages or monthly accumulations of the daily observations. The meteorological elements calculated for the data set include, but are not limited to: monthly maximum and minimum temperature, monthly precipitation (i.e., rainfall and snow water equivalent), snowfall and snow depth. Users of these monthly summaries have access to simple meteorological summaries for tens of thousands of stations worldwide.

  19. NASA Prediction of Worldwide Energy Resources (POWER)

    • registry.opendata.aws
    Updated Jun 1, 2022
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    NASA (2022). NASA Prediction of Worldwide Energy Resources (POWER) [Dataset]. https://registry.opendata.aws/nasa-power/
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    Dataset updated
    Jun 1, 2022
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    NASA's goal in Earth science is to observe, understand, and model the Earth system to discover how it is changing, to better predict change, and to understand the consequences for life on Earth. The Applied Sciences Program, within the Earth Science Division of the NASA Science Mission Directorate, serves individuals and organizations around the globe by expanding and accelerating societal and economic benefits derived from Earth science, information, and technology research and development.

    The Prediction Of Worldwide Energy Resources (POWER) Project, funded through the Applied Sciences Program at NASA Langley Research Center, gathers NASA Earth observation data and parameters related to the fields of surface solar irradiance and meteorology to serve the public in several free, easy-to-access and easy-to-use methods. POWER helps communities become resilient amid observed climate variability by improving data accessibility, aiding research in energy development, building energy efficiency, and supporting agriculture projects.

    The POWER project contains over 380 satellite-derived meteorology and solar energy Analysis Ready Data (ARD) at four temporal levels: hourly, daily, monthly, and climatology. The POWER data archive provides data at the native resolution of the source products. The data is updated nightly to maintain near real time availability (2-3 days for meteorological parameters and 5-7 days for solar). The POWER services catalog consists of a series of RESTful Application Programming Interfaces, geospatial enabled image services, and web mapping Data Access Viewer. These three service offerings support data discovery, access, and distribution to the project’s user base as ARD and as direct application inputs to decision support tools.

    The latest data version update includes hourly-based source ARD, in addition to enhanced daily, monthly, annual, and climatology data. The daily time series for meteorology is available from 1981, while solar-based parameters start in 1984. The hourly source data are from Clouds and the Earth's Radiant Energy System (CERES) and Global Modeling and Assimilation Office (GMAO), spanning from 1984 for meteorology and from 2001 for solar-based parameters. The hourly data equips users with the ARD needed to model building system energy performance, providing information directly amenable to decision support tools introducing the industry standard EnergyPlus Weather file format.

  20. Daily Crude Oil Production Worldwide

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jun 1, 2025
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    IndexBox Inc. (2025). Daily Crude Oil Production Worldwide [Dataset]. https://www.indexbox.io/search/daily-crude-oil-production-worldwide/
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    pdf, xls, doc, docx, xlsxAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Jun 18, 2025
    Area covered
    World, World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Daily crude oil production worldwide fluctuates based on various factors such as geopolitical events, economic conditions, and technological advancements. This article explores the global crude oil production levels of major oil-producing countries and regions, including OPEC, the United States, Russia, and China, and the implications for the energy industry, economies, and the environment.

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Statista (2025). Daily social media usage worldwide 2012-2020 [Dataset]. https://www.statista.com/statistics/1248450/daily-social-media-usage-worldwide/
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Daily social media usage worldwide 2012-2020

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Dataset updated
Jun 25, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

How much time do people spend on social media? As of 2019 and 2020, the average daily social media usage of internet users worldwide amounted to *** minutes per day, up from *** minutes in the previous year. Currently, the country with the most time spent on social media per day is the Philippines, with online users spending an average of ***** hours and ** minute on social media each day. In comparison, the daily time spent with social media in the U.S. was just *** hours and ***** minutes. Global social media usageCurrently, the global social network penetration rate is nearly ** percent. Western Europe had a ** percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with *** and ***** 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 flipside, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

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