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.

US Broadband Usage Across Counties

Utilizing Microsoft's Data to Estimate Access

By Amber Thomas [source]

About this dataset

This dataset provides an estimation of broadband usage in the United States, focusing on how many people have access to broadband and how many are actually using it at broadband speeds. Through data collected by Microsoft from our services, including package size and total time of download, we can estimate the throughput speed of devices connecting to the internet across zip codes and counties.

According to Federal Communications Commission (FCC) estimates, 14.5 million people don't have access to any kind of broadband connection. This data set aims to address this contrast between those with estimated availability but no actual use by providing more accurate usage numbers downscaled to county and zip code levels. Who gets counted as having access is vastly important -- it determines who gets included in public funding opportunities dedicated solely toward closing this digital divide gap. The implications can be huge: millions around this country could remain invisible if these number aren't accurately reported or used properly in decision-making processes.

This dataset includes aggregated information about these locations with less than 20 devices for increased accuracy when estimating Broadband Usage in the United States-- allowing others to use it for developing solutions that improve internet access or label problem areas accurately where no real or reliable connectivity exists among citizens within communities large and small throughout the US mainland.. Please review the license terms before using these data so that you may adhere appropriately with stipulations set forth under Microsoft's Open Use Of Data Agreement v1.0 agreement prior to utilizing this dataset for your needs-- both professional and educational endeavors alike!

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How to use the dataset

How to Use the US Broadband Usage Dataset

This dataset provides broadband usage estimates in the United States by county and zip code. It is ideally suited for research into how broadband connects households, towns and cities. Understanding this information is vital for closing existing disparities in access to high-speed internet, and for devising strategies for making sure all Americans can stay connected in a digital world.

The dataset contains six columns: - County – The name of the county for which usage statistics are provided. - Zip Code (5-Digit) – The 5-digit zip code from which usage data was collected from within that county or metropolitan area/micro area/divisions within states as reported by the US Census Bureau in 2018[2].
- Population (Households) – Estimated number of households defined according to [3] based on data from the US Census Bureau American Community Survey's 5 Year Estimates[4].
- Average Throughput (Mbps)- Average Mbps download speed derived from a combination of data collected anonymous devices connected through Microsoft services such as Windows Update, Office 365, Xbox Live Core Services, etc.[5]
- Percent Fast (> 25 Mbps)- Percentage of machines with throughput greater than 25 Mbps calculated using [6]. 6) Percent Slow (< 3 Mbps)- Percentage of machines with throughput less than 3Mbps calculated using [7].

Research Ideas

• Targeting marketing campaigns based on broadband use. Companies can use the geographic and demographic data in this dataset to create targeted advertising campaigns that are tailored to individuals living in areas where broadband access is scarce or lacking.
• Creating an educational platform for those without reliable access to broadband internet. By leveraging existing technologies such as satellite internet, media streaming services like Netflix, and platforms such as Khan Academy or EdX, those with limited access could gain access to new educational options from home.
• Establishing public-private partnerships between local governments and telecom providers need better data about gaps in service coverage and usage levels in order to make decisions about investments into new infrastructure buildouts for better connectivity options for rural communities

Acknowledgements

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

License

See the dataset description for more information.

Columns

File: broadband_data_2020October.csv

Acknowledgements

If you use this dataset in your research,...

Dataset Overview

This dataset provides a comprehensive overview of internet usage across countries as of 2024. It includes data on the percentage of the population using the internet, sourced from multiple organizations such as the World Bank (WB), International Telecommunication Union (ITU), and the CIA. The dataset covers all United Nations member states, excluding North Korea, and provides insights into internet penetration rates, user counts, and trends over recent years. The data is derived from household surveys and internet subscription statistics, offering a reliable snapshot of global digital connectivity.

Data Science Applications

This dataset can be used in various data science applications, including: - Digital Divide Analysis: Evaluate disparities in internet access between developed and developing nations. - Trend Analysis: Study the growth of internet penetration over time across different regions. - Policy Recommendations: Assist policymakers in identifying underserved areas and strategizing for improved connectivity. - Market Research: Help businesses identify potential markets for digital products or services. - Correlation Studies: Analyze relationships between internet penetration and socioeconomic indicators like GDP, education levels, or urbanization.

Column Descriptors

The dataset contains the following columns: 1. Location: Country or region name. 2. Rate (WB): Percentage of the population using the internet (World Bank data). 3. Year (WB): Year corresponding to the World Bank data. 4. Rate (ITU): Percentage of the population using the internet (ITU data). 5. Year (ITU): Year corresponding to the ITU data. 6. Users (CIA): Estimated number of internet users in absolute terms (CIA data). 7. Year (CIA): Year corresponding to the CIA data. 8. Notes: Additional notes or observations about specific entries.

Ethically Mined Data

The data has been sourced from publicly available and reputable organizations such as the World Bank, ITU, and CIA. These sources ensure transparency and ethical collection methods through household surveys and official statistics. The dataset excludes North Korea due to limited reliable information on its internet usage.

Acknowledgements

This dataset is based on information compiled from: - World Bank - International Telecommunication Union - CIA World Factbook - Wikipedia's "List of countries by number of Internet users" page

Special thanks to these organizations for providing open access to this valuable information, enabling deeper insights into global digital connectivity trends.

Citations: [1] https://en.wikipedia.org/wiki/List_of_countries_by_number_of_Internet_users [2] https://en.wikipedia.org/wiki/List_of_countries_by_number_of_Internet_users

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

When asked about "Attitudes towards the internet", most Chinese respondents pick "It is important to me to have mobile internet access in any place" as an answer. 50 percent did so in our online survey in 2025. Looking to gain valuable insights about users of internet providers worldwide? Check out our reports on consumers who use internet providers. These reports give readers a thorough picture of these customers, including their identities, preferences, opinions, and methods of communication.

Georgia Internet Access: Households: Urban data was reported at 83.000 % in 2018. This records an increase from the previous number of 81.817 % for 2017. Georgia Internet Access: Households: Urban data is updated yearly, averaging 81.817 % from Jul 2016 (Median) to 2018, with 3 observations. The data reached an all-time high of 83.000 % in 2018 and a record low of 79.720 % in 2016. Georgia Internet Access: Households: Urban data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.TB002: Share of Households with Internet Access.

Georgia Internet Access: Households data was reported at 69.523 % in 2018. This records a decrease from the previous number of 70.703 % for 2017. Georgia Internet Access: Households data is updated yearly, averaging 70.052 % from Jul 2016 (Median) to 2018, with 3 observations. The data reached an all-time high of 70.703 % in 2017 and a record low of 69.523 % in 2018. Georgia Internet Access: Households data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.TB002: Share of Households with Internet Access.

Georgia Internet Access: Households: Rural data was reported at 51.892 % in 2018. This records a decrease from the previous number of 56.163 % for 2017. Georgia Internet Access: Households: Rural data is updated yearly, averaging 56.163 % from Jul 2016 (Median) to 2018, with 3 observations. The data reached an all-time high of 57.403 % in 2016 and a record low of 51.892 % in 2018. Georgia Internet Access: Households: Rural data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.TB002: Share of Households with Internet Access.

Georgia Internet Access: Households: Others data was reported at 57.497 % in 2018. This records a decrease from the previous number of 66.189 % for 2017. Georgia Internet Access: Households: Others data is updated yearly, averaging 63.704 % from Jul 2016 (Median) to 2018, with 3 observations. The data reached an all-time high of 66.189 % in 2017 and a record low of 57.497 % in 2018. Georgia Internet Access: Households: Others data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.TB002: Share of Households with Internet Access. Includes Kvemo Kartli, Guria, Samtskhe-Javakheti and Mtskheta-Mtianeti regions.

Georgia Internet Access: Households: Guria data was reported at 90.387 % in 2024. This records an increase from the previous number of 83.816 % for 2023. Georgia Internet Access: Households: Guria data is updated yearly, averaging 83.816 % from Jul 2020 (Median) to 2024, with 5 observations. The data reached an all-time high of 90.387 % in 2024 and a record low of 79.205 % in 2020. Georgia Internet Access: Households: Guria data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.TB002: Share of Households with Internet Access. The data before 2020 is not available due to small sample size of the survey. Survey sample size has been increased since then.

Georgia Internet Access: Households: Shida Kartli data was reported at 61.048 % in 2018. This records an increase from the previous number of 60.227 % for 2017. Georgia Internet Access: Households: Shida Kartli data is updated yearly, averaging 60.227 % from Jul 2016 (Median) to 2018, with 3 observations. The data reached an all-time high of 61.048 % in 2018 and a record low of 58.196 % in 2016. Georgia Internet Access: Households: Shida Kartli data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.TB002: Share of Households with Internet Access.

When asked about "Attitudes towards the internet", most Japanese respondents pick "I'm concerned that my data is being misused on the internet" as an answer. 35 percent did so in our online survey in 2025. Looking to gain valuable insights about users of internet providers worldwide? Check out our reports on consumers who use internet providers. These reports give readers a thorough picture of these customers, including their identities, preferences, opinions, and methods of communication.

This is the data used in the research "Complexity Inequality and Internet". Inequality is quantified using the Gini coefficient after taxes and transfers, sourced from the Standardized World Income Inequality Database, incorporating data from the OECD, World Bank, and ECLAC (Solt, 2020). Explanatory variables include the Economic Complexity Index (ECI) from the Atlas of Economic Complexity (The Growth Lab at Harvard University, 2019), normalized within a range of -3 to +3; real GDP per capita in 2017 US dollars from the Penn World Table (Feenstra, et al., 2015); and internet access, measured as the percentage of the population using this service (The World Bank, 2023). The dataset comprises 126 countries with data spanning from 1995 to 2020.

Georgia Internet Access: Households: Mtskheta-Mtianeti data was reported at 83.730 % in 2024. This records a decrease from the previous number of 84.239 % for 2023. Georgia Internet Access: Households: Mtskheta-Mtianeti data is updated yearly, averaging 82.895 % from Jul 2020 (Median) to 2024, with 5 observations. The data reached an all-time high of 84.239 % in 2023 and a record low of 76.647 % in 2022. Georgia Internet Access: Households: Mtskheta-Mtianeti data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.TB002: Share of Households with Internet Access. The data before 2020 is not available due to small sample size of the survey. Survey sample size has been increased since then.

Georgia Internet Access: Households: Adjara data was reported at 80.334 % in 2018. This records a decrease from the previous number of 85.315 % for 2017. Georgia Internet Access: Households: Adjara data is updated yearly, averaging 80.334 % from Jul 2016 (Median) to 2018, with 3 observations. The data reached an all-time high of 85.315 % in 2017 and a record low of 75.727 % in 2016. Georgia Internet Access: Households: Adjara data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.TB002: Share of Households with Internet Access.

United Kingdom E Commerce: Internet Access: 50-249 Employees data was reported at 99.200 % in 2016. This records an increase from the previous number of 99.100 % for 2015. United Kingdom E Commerce: Internet Access: 50-249 Employees data is updated yearly, averaging 99.150 % from Dec 2007 (Median) to 2016, with 10 observations. The data reached an all-time high of 99.900 % in 2013 and a record low of 98.000 % in 2007. United Kingdom E Commerce: Internet Access: 50-249 Employees data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.S032: E Commerce: Proportion of Businesses With Internet Access and Type of Connection.

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.

Developed through collaboration between The Nature Conservancy, The University of Washington, and The University of Southern Mississippi, the Climate Wizard enables technical and non-technical audiences alike to easily and intuitively access leading climate change information and visualize the impacts anywhere on Earth. Climate Wizard Custom is a new tool where a user can define a relatively small geographic area of interest and conduct site-specific analyses using both historical data and possible future conditions that are based on low (B1), moderate (A1B), and high (A2) carbon emissions scenarios. Sixteen general circulation models are available to provide a range of possible outcomes, and users can analyze absolute and percentage changes in annual, seasonal or monthly climate conditions in graphic or map form. Since the large climate datasets are stored and analyzed remotely on powerful computers, users of the tool do not need to have fast computers or expensive software, but simply need access to the internet. Using web technologies to develop tools that make climate change analysis more accessible scientists, managers, and policy makers now have the ability to assess the potential impacts of climate change and help guide decisions and actions to prepare for and mitigate those impacts to natural systems and the services they provide.

United Kingdom E Commerce: Internet Access: 1000+ Employees data was reported at 99.600 % in 2016. This records an increase from the previous number of 98.900 % for 2015. United Kingdom E Commerce: Internet Access: 1000+ Employees data is updated yearly, averaging 99.550 % from Dec 2007 (Median) to 2016, with 10 observations. The data reached an all-time high of 99.600 % in 2016 and a record low of 98.900 % in 2015. United Kingdom E Commerce: Internet Access: 1000+ Employees data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.S032: E Commerce: Proportion of Businesses With Internet Access and Type of Connection.

The Global Biodiversity Information Facility (GBIF) was established by governments in 2001 to encourage free and open access to biodiversity data, via the Internet. Through a global network of countries and organizations, GBIF promotes and facilitates the mobilization, access, discovery and use of information about the occurrence of organisms over time and across the planet. GBIF provides three core services and products: # An information infrastructure an Internet-based index of a globally distributed network of interoperable databases that contain primary biodiversity data information on museum specimens, field observations of plants and animals in nature, and results from experiments so that data holders across the world can access and share them # Community-developed tools, standards and protocols the tools data providers need to format and share their data # Capacity-building the training, access to international experts and mentoring programs that national and regional institutions need to become part of a decentralized network of biodiversity information facilities. GBIF and its many partners work to mobilize the data, and to improve search mechanisms, data and metadata standards, web services, and the other components of an Internet-based information infrastructure for biodiversity. GBIF makes available data that are shared by hundreds of data publishers from around the world. These data are shared according to the GBIF Data Use Agreement, which includes the provision that users of any data accessed through or retrieved via the GBIF Portal will always give credit to the original data publishers. * Explore Species: Find data for a species or other group of organisms. Information on species and other groups of plants, animals, fungi and micro-organisms, including species occurrence records, as well as classifications and scientific and common names. * Explore Countries: Find data on the species recorded in a particular country, territory or island. Information on the species recorded in each country, including records shared by publishers from throughout the GBIF network. * Explore Datasets: Find data from a data publisher, dataset or data network. Information on the data publishers, datasets and data networks that share data through GBIF, including summary information on 10028 datasets from 419 data publishers.