The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

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.

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.

Key information about United States Oil Consumption

• United States Oil Consumption was reported at 18,983.557 Barrel/Day th in Dec 2023
• This records an increase from the previous number of 18,862.210 Barrel/Day th for Dec 2022
• US Oil Consumption data is updated yearly, averaging 17,634.400 Barrel/Day th from Dec 1965 to 2023, with 59 observations
• The data reached an all-time high of 20,531.482 Barrel/Day th in 2005 and a record low of 11,512.436 Barrel/Day th in 1965
• US Oil Consumption data remains active status in CEIC and is reported by BP PLC
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.BP.OIL: Oil: Consumption

Key information about United States Crude Oil: Production

• United States Crude Oil: Production was reported at 12,927.088 Barrel/Day th in Dec 2023
• This records an increase from the previous number of 11,910.573 Barrel/Day th for Dec 2022
• US Crude Oil: Production data is updated yearly, averaging 8,135.663 Barrel/Day th from Dec 1960 to 2023, with 64 observations
• The data reached an all-time high of 12,927.088 Barrel/Day th in 2023 and a record low of 4,999.727 Barrel/Day th in 2008
• US Crude Oil: Production data remains active status in CEIC and is reported by Organization of the Petroleum Exporting Countries
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.OPEC.CO: Crude Oil Production: Yearly

The global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total 1.8 billion users (+42.62 percent). After the ninth consecutive increasing year, the smartphone user base is estimated to reach 6.1 billion users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Australia & Oceania and Asia.

Key information about Azerbaijan Crude Oil: Production

• Azerbaijan Crude Oil: Production was reported at 504.244 Barrel/Day th in Dec 2023
• This records a decrease from the previous number of 558.356 Barrel/Day th for Dec 2022
• Azerbaijan Crude Oil: Production data is updated yearly, averaging 247.052 Barrel/Day th from Dec 1960 to 2023, with 64 observations
• The data reached an all-time high of 1,014.088 Barrel/Day th in 2009 and a record low of 60.600 Barrel/Day th in 1960
• Azerbaijan Crude Oil: Production data remains active status in CEIC and is reported by Organization of the Petroleum Exporting Countries
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.OPEC.CO: Crude Oil Production: Yearly

Key information about Germany Crude Oil: Production

• Germany Crude Oil: Production was reported at 37.836 Barrel/Day th in Dec 2019
• This records a decrease from the previous number of 40.652 Barrel/Day th for Dec 2018
• Germany Crude Oil: Production data is updated yearly, averaging 74.114 Barrel/Day th from Dec 1960 to 2019, with 60 observations
• The data reached an all-time high of 170.097 Barrel/Day th in 1968 and a record low of 37.836 Barrel/Day th in 2019
• Germany Crude Oil: Production data remains active status in CEIC and is reported by Organization of the Petroleum Exporting Countries
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.OPEC.CO: Crude Oil Production: Yearly

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

Key information about Russia Crude Oil: Production

• Russia Crude Oil: Production was reported at 9,592.386 Barrel/Day th in Dec 2023
• This records a decrease from the previous number of 9,756.049 Barrel/Day th for Dec 2022
• Russia Crude Oil: Production data is updated yearly, averaging 9,261.952 Barrel/Day th from Dec 1960 to 2023, with 64 observations
• The data reached an all-time high of 11,152.736 Barrel/Day th in 1987 and a record low of 2,683.100 Barrel/Day th in 1960
• Russia Crude Oil: Production data remains active status in CEIC and is reported by Organization of the Petroleum Exporting Countries
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.OPEC.CO: Crude Oil Production: Yearly

ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 8 decades. Data is available from 1940 onwards. ERA5 replaces the ERA-Interim reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. This principle, called data assimilation, is based on the method used by numerical weather prediction centres, where every so many hours (12 hours at ECMWF) a previous forecast is combined with newly available observations in an optimal way to produce a new best estimate of the state of the atmosphere, called analysis, from which an updated, improved forecast is issued. Reanalysis works in the same way, but at reduced resolution to allow for the provision of a dataset spanning back several decades. Reanalysis does not have the constraint of issuing timely forecasts, so there is more time to collect observations, and when going further back in time, to allow for the ingestion of improved versions of the original observations, which all benefit the quality of the reanalysis product. This catalogue entry provides post-processed ERA5 hourly single-level data aggregated to daily time steps. In addition to the data selection options found on the hourly page, the following options can be selected for the daily statistic calculation:

The daily aggregation statistic (daily mean, daily max, daily min, daily sum*) The sub-daily frequency sampling of the original data (1 hour, 3 hours, 6 hours) The option to shift to any local time zone in UTC (no shift means the statistic is computed from UTC+00:00)

*The daily sum is only available for the accumulated variables (see ERA5 documentation for more details). Users should be aware that the daily aggregation is calculated during the retrieval process and is not part of a permanently archived dataset. For more details on how the daily statistics are calculated, including demonstrative code, please see the documentation. For more details on the hourly data used to calculate the daily statistics, please refer to the ERA5 hourly single-level data catalogue entry and the documentation found therein.

Key information about Venezuela Crude Oil: Production

• Venezuela Crude Oil: Production was reported at 892.000 Barrel/Day th in Jan 2025
• This records a decrease from the previous number of 910.000 Barrel/Day th for Dec 2024
• Venezuela Crude Oil: Production data is updated monthly, averaging 2,321.000 Barrel/Day th from Jan 2002 to Jan 2025, with 277 observations
• The data reached an all-time high of 2,995.000 Barrel/Day th in Oct 2002 and a record low of 337.000 Barrel/Day th in Jun 2020
• Venezuela Crude Oil: Production data remains active status in CEIC and is reported by Organization of the Petroleum Exporting Countries
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.OPEC.CO: Crude Oil Production: OPEC Members: Monthly

Key information about Netherlands Crude Oil: Production

• Netherlands Crude Oil: Production was reported at 14.595 Barrel/Day th in Dec 2019
• This records a decrease from the previous number of 17.468 Barrel/Day th for Dec 2018
• Netherlands Crude Oil: Production data is updated yearly, averaging 39.393 Barrel/Day th from Dec 1960 to 2019, with 60 observations
• The data reached an all-time high of 90.896 Barrel/Day th in 1987 and a record low of 14.595 Barrel/Day th in 2019
• Netherlands Crude Oil: Production data remains active status in CEIC and is reported by Organization of the Petroleum Exporting Countries
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.OPEC.CO: Crude Oil Production: Yearly

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

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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

• Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
• United Nations Population Division

Related Data Products

• COVID-19 US Daily Data
• OECD, EU28, G20 Life Expectancy and Mortality Indicators

Suggested Blog Posts

• Bayesian Thinking During the Pandemic
• Impact of COVID-19 on California Electricity Demand
• Keep Calm and Look At The Fundamentals
• Markets In The Corona Virus Crisis

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

Key information about Colombia Crude Oil: Production

• Colombia Crude Oil: Production was reported at 776.644 Barrel/Day th in Dec 2023
• This records an increase from the previous number of 754.247 Barrel/Day th for Dec 2022
• Colombia Crude Oil: Production data is updated yearly, averaging 438.949 Barrel/Day th from Dec 1960 to 2023, with 64 observations
• The data reached an all-time high of 1,008.178 Barrel/Day th in 2013 and a record low of 123.307 Barrel/Day th in 1979
• Colombia Crude Oil: Production data remains active status in CEIC and is reported by Organization of the Petroleum Exporting Countries
• The data is categorized under World Trend Plus’s Association: Energy Sector – Table RB.OPEC.CO: Crude Oil Production: Yearly

The average for 2023 based on 190 countries was 429.63 thousand Barrels Per Day. The highest value was in the USA: 12927.22 thousand Barrels Per Day and the lowest value was in Afghanistan: 0 thousand Barrels Per Day. The indicator is available from 1973 to 2023. Below is a chart for all countries where data are available.

A precipitation dataset, Global Precipitation Climatology by Machine Learning (ML), GPC/m, is released.

This new precipitation dataset has been produced by machine learning, which is daily from 1979 to 2020 (will be to present), 1° × 1° spatial resolution. Three ML methods are used. Data is produced from outgoing longwave radiation (OLR) and atmospheric circulation from reanalysis. You can download this with DOI.

This daily precipitation dataset has been produced by machine learning (ML) methods using satellite observations and atmospheric circulations from reanalysis. The quasi-global daily precipitation dataset has been around for 42 years from 1979 to 2020, which will be updated to the present. The spatial resolution is 1° × 1° zonally global and from 40°S to 50°N. The ML methods are supervised learning, and the reference data are estimated precipitation datasets from 2001 to the present. The input data are somewhat modified based on knowledge of the climatological background. Using the trained statistical models, we predict back to 1979, when daily precipitation data was almost unavailable globally. For now, this GPC/m precipitation dataset version is GPC/m-v1-2024. This data will be updated in the future with added value. The purpose of this dataset is a challenge to produce a climatological dataset by reducing artificial gaps as much as possible for discussion of climatology, climate variability, and climate change. This dataset is very useful for statistical analysis, such as composite analysis and correlation analysis. Disadvantages should also be understood in the description paper (Takahashi, 2024c). Also, I hope that this dataset can contribute to improving the current precipitation datasets, which are based on physical or researcher-explaining algorithms.

To facilitate analysis of the dataset, it is distributed in Network Common Data Form (netCDF) format and the Grid Analysis and Display System (GrADS) format (with control file). If you would like recently updated data, please contact the creator. If it has already been created, it can be distributed.

Added on September 18, 2024.
More details are in the preprint paper at this link (Takahashi, 2024, https://doi.org/10.48550/arXiv.2409.09639).

Added on March 4, 2025.
Alternative Download Options
If you experience slow download speeds from Zenodo, alternative mirrors are available for the dataset files.
However, we kindly request you to download the .ctl file from Zenodo for tracking purposes.
Download NetCDF (.nc) or Binary (.bin) from:
https://camo.fpark.tmu.ac.jp/gpcm.html

Exploring Daily Weather Report Usage

Understanding Regional and Socioeconomic Variations

By FiveThirtyEight [source]

About this dataset

This dataset contains survey responses from people about their daily weather report usage and weather check. It consists of columns such as Do You Typically Check a Daily Weather Report?, How do you Typically Check the Weather?, If You Had a Smartwatch (like the Soon to be Released Apple Watch), How Likely or Unlikely Would You Be to Check the Weather on That Device? Age, What is Your Gender?, and US Region. With this data, we can explore usage patterns in checking for daily weather reports across different regions, genders, ages and preferences for smartwatch devices in doing so. This dataset offers an interesting insight into our current attitudes towards checking for the weather with technology - and by understanding these patterns better, we can create more engaging experiences tailored to individuals’ needs

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How to use the dataset

To get started, it is helpful to first examine the columns in the dataset. The columns are Do you typically check a daily weather report?, How do you typically check the weather?, If you had a smartwatch (like the soon to be released Apple Watch), how likely or unlikely would you be to check the weather on that device?, Age, What is your gender?, US Region. Each row contains data for one survey participant, with their answers for each column included in each row.

The data can be used for exploring correlations between factors such as age, gender, region/location, daily weather checking habits/preferences etc.. Some of these variables are numerical (such as age) and others are categorical (such as gender). You can use this data when creating visualizations showing relationships between these factors. You may also want to create summary tables showing average values for different categories of each factor, allowing for easy comparison across groups or over time periods (depending on how much historical data is available).

Research Ideas

• Analyzing trends in the usage of daily weather reports by age, gender and region.
• Exploring consumer preferences for checking the weather via smartwatches and mobile devices in comparison to other methods (e.g., TV or radio).
• Examining correlations between people's likelihood to check their daily weather report and their demographic characteristics (location, age, gender)

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: weather-check.csv | Column name | Description | |:-------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------| | Do you typically check a daily weather report? | This column indicates whether or not the respondent typically checks a daily weather report. (Categorical) | | How do you typically check the weather? | This column indicates how the respondent typically checks the weather. (Categorical) | | If you had a smartwatch (like the soon to be released Apple Watch), how likely or unlikely would you be to check the weather on that device? | This column indicates how likely or unlikely the respondent would be to check the weather on a smartwatch. (Categorical) | | Age | This column indicates the age of the respondent. (Numerical) ...

The population share with mobile internet access in North America was forecast to increase between 2024 and 2029 by in total 2.9 percentage points. This overall increase does not happen continuously, notably not in 2028 and 2029. The mobile internet penetration is estimated to amount to 84.21 percent in 2029. Notably, the population share with mobile internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the population share with mobile internet access in countries like Caribbean and Europe.

NOTICE: A significant issue with the precipitation variables in this dataset was found in January 2015. The precipitation data has two fewer columns than the temperature data, one from each edge. When merged into the same coordinate system, this caused the temperature data to be offset to the west by one pixel. The dataset is now broken into two sub-datasets, one for precipitation and one for temperature. This corrects the pixel location. Any use of precipitation data from this dataset from September 2013, when new precipitation files containing the issue were introduced, should be considered slightly in error. For more information please contact gdp@usgs.gov.In this project, we used an advanced statistical downscaling method that combines high-resolution observations with outputs from 16 different global climate models based on 4 future emission scenarios to generate the most comprehensive dataset of daily temperature and precipitation projections available for climate change impacts in the U.S. The gridded dataset covers the continental United States, southern Canada and northern Mexico at one-eighth degree resolution and Alaska at one-half degree resolution. The high-resolution projections produced by this work have been rigorously quality-controlled for both errors and biases in the global climate and statistical downscaling models. We also calculated projected future changes in a broad range of impact-relevant indicators, from seasonal temperature to extreme precipitation days. The results of the error and bias tests and the indicator calculations are made available as part of this database. Additional information and raw data from this dataset can be found here: https://cida.usgs.gov/thredds/catalog.html Before using this dataset, please review the material summarized here: https://my.usgs.gov/confluence/display/GeoDataPortal/2014/04/16/Notice%3A+Evaluation+of+Maurer+gridded+observational+datasets+and+their+impacts+on+downscaled+products Note that the CONUS temperature and precipitation data were split into two sub datasets in January 2015. This was done because the precipitation data uses a slightly different longitude axis than the temperature data.