CID provides users with Department of Energy (DOE) waste management, cleanup, and facility information.

This data package contains datasets on Austin Google Analytics, IPv4 address networks database, internet top-level domains such as .com and .uk. It also contains a list of media types, media subtypes, and their file extensions and WIPO (World Intellectual Property Organization) administered copyright treaties.

Each dataset provides monthly data at the national level of Social Security Retirement Insurance applications filed via the Internet, and Social Security Retirement Insurance applications submitted via telephone, in person through a local SSA field office, or by mail that could be filed via the Internet. Percentage of online applications is derived by dividing the number of retirement insurance applications filed via the Internet by the total number of retirement insurance applications that could be filed via the Internet.

This study contains two data files. Data file one (Broadband Internet Availability, Speed, and Adoption by Census Tract) contains measures of broadband internet availability, speed, and adoption per United States census tract in 2014 through 2020. The data is derived from internet service providers' Form 477 reports to the Federal Communications Commission. Data file two (Broadband Internet Availability and Speed by ZIP Code Tabulation Area) contains measures of broadband internet access and usage per United States ZIP code tabulation area (ZCTA) in 2014 through 2020. The data is derived primarily from internet service providers' Form 477 reports to the Federal Communications Commission.

The statistic shows estimated internet data traffic per month in the United States from 2018 to 2023. In 2018, total internet data traffic was estimated to amount to 33.45 million exabytes per month.

Annual data on internet usage in Great Britain, including frequency of internet use, internet activities and internet purchasing.

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

Internet Data Center Market Outlook

According to our latest research, the global Internet Data Center market size stood at USD 68.3 billion in 2024, registering a robust growth trajectory. The market is forecasted to reach USD 165.7 billion by 2033, expanding at a healthy CAGR of 10.4% during the 2025-2033 period. The key growth factor driving this surge is the exponential rise in data generation, cloud computing adoption, and the proliferation of digital transformation initiatives across industries worldwide. As organizations increasingly prioritize business continuity, security, and scalability, the demand for advanced data center infrastructure is at an all-time high, shaping the future of the Internet Data Center market.

One of the primary drivers fueling the growth of the Internet Data Center market is the rapid expansion of digital services and applications, which has led to an unprecedented surge in global data traffic. The proliferation of Internet of Things (IoT) devices, video streaming, e-commerce, and social media platforms has necessitated the deployment of high-capacity, low-latency data centers capable of handling massive workloads. Enterprises and service providers are investing heavily in data center modernization, focusing on energy efficiency, automation, and robust connectivity to support these evolving digital ecosystems. The growing emphasis on hybrid and multi-cloud strategies further amplifies the need for flexible and scalable data center solutions, propelling market growth.

Another significant growth factor is the increasing adoption of artificial intelligence (AI), machine learning, and big data analytics across various sectors, including healthcare, finance, and retail. These technologies require substantial computational power and storage capabilities, driving demand for advanced data center infrastructure. Modern data centers are being designed to support high-density computing, GPU acceleration, and edge computing, enabling real-time data processing and analytics at scale. Additionally, the shift toward software-defined data centers (SDDC) and virtualization is transforming traditional data center architectures, enabling greater agility, cost-efficiency, and operational resilience. This evolution is further supported by advancements in network technologies such as 5G, which facilitate faster data transmission and improved user experiences.

Sustainability and energy efficiency have emerged as crucial considerations in the Internet Data Center market, as organizations and governments worldwide prioritize environmental responsibility. Data centers are significant consumers of electricity, prompting the adoption of green technologies, renewable energy sources, and innovative cooling solutions to minimize carbon footprints. Regulatory mandates and industry standards are driving investments in energy-efficient hardware, intelligent power management, and sustainable building practices. Leading market players are increasingly focusing on achieving carbon neutrality and leveraging circular economy principles, which not only reduce operational costs but also enhance brand reputation and stakeholder trust. This sustainable approach is expected to shape investment decisions and technological advancements in the coming years.

As the demand for data processing and storage continues to grow, the concept of a Hyperscale Data Center has emerged as a pivotal solution to meet these needs. Hyperscale data centers are designed to efficiently scale up resources, accommodating the vast amounts of data generated by modern digital activities. These facilities are characterized by their ability to support thousands of servers and millions of virtual machines, ensuring seamless performance and reliability. The architecture of hyperscale data centers focuses on maximizing energy efficiency and optimizing cooling systems, making them a sustainable choice for large-scale operations. As businesses increasingly rely on cloud services and big data analytics, the role of hyperscale data centers becomes ever more critical in providing the necessary infrastructure to support these advanced technologies.

Regionally, the Asia Pacific market is witnessing remarkable growth, outpacing other regions due to rapid digitalization, government initiatives, and increasing internet penetration. Countries such as China, India, and Singapo

Tempe Census Census Tracts and internet access by household. Data source: U.S. Census Bureau, 2013-2017 American Community Survey 5-Year Estimates, table BD28011 (Internet Subscription in Household). Also includes "low response scores" from the the Census Bureau's data from the 2018 Planning Database (PDB), which was established to prepare for the upcoming 2020 Census.For more information on the low response score, see the United States Census Bureau 2018 Planning Database:https://www.census.gov/topics/research/guidance/planning-databases.htmlLayer generally supports 2020 Census story map Ensuring a Complete Count in the 2020 Census.

Internet use in the UK annual estimates by age, sex, disability, ethnic group, economic activity and geographical location, including confidence intervals.

A database of brain neuroanatomic volumetric observations spanning various species, diagnoses, and structures for both individual and group results. A major thrust effort is to enable electronic access to the results that exist in the published literature. Currently, there is quite limited electronic or searchable methods for the data observations that are contained in publications. This effort will facilitate the dissemination of volumetric observations by making a more complete corpus of volumetric observations findable to the neuroscience researcher. This also enhances the ability to perform comparative and integrative studies, as well as metaanalysis. Extensions that permit pre-published, non-published and other representation are planned, again to facilitate comparative analyses. Design strategy: The principle organizing data structure is the "publication". Publications report on "groups" of subjects. These groups have "demographic" information as well as "volume" information for the group as a whole. Groups are comprised of "individuals", which also have demographic and volume information for each of the individuals. The finest-grained data structure is the "individual volume record" which contains a volume observation, the units for the observation, and a pointer to the demographic record for individual upon which the observation is derived. A collection of individual volumes can be grouped into a "group volume" observation; the group can be demographically characterized by the distribution of individual demographic observations for the members of the group.

Explore the historical Whois records related to internet-database.org (Domain). Get insights into ownership history and changes over time.

Key indicators of broadband adoption, service and infrastructure in New York City. Data Limitations: Data accuracy is limited as of the date of publication and by the methodology and accuracy of the original sources. The City shall not be liable for any costs related to, or in reliance of, the data contained in these datasets.

As of the second quarter of 2019, the price for *** Gigabyte amounted to approximately *** U.S. dollars, a decrease of approximately *** U.S. dollars compared to 2017. Compared to its neighboring countries like Singapore and Malaysia, the data price in Indonesia was the lowest. Affordable price versus broadband infrastructure As smartphone users tend to communicate through mobile apps such as Whatsapp or Messenger more than via text message or phone call, the affordability of mobile internet is crucial. Good broadband infrastructure and economic growth in the country determine whether the internet providers can fulfill the demand while maintaining affordable prices. In late 2019 Indonesia’s government completed the Palapa Ring Project, an infrastructure project that aimed to provide access to ** internet services across the country. With this, Indonesia’s digital economy is expected to grow faster. PT Telkomsel, the largest mobile internet provider
Other than communication related apps, shopping and social media apps had the highest reach levels among Indonesian smartphone users. On average, a smartphone user in Indonesia spent about **** minutes per day for communication. In 2018, PT Telkom Indonesia Group had a share of **** percent of the fixed broadband market in Indonesia. Besides being the largest telecommunications and network provider in Indonesia, Telkomsel is also the most popular mobile internet provider to browse the internet, followed by Indosat and XL.

.INTERNET.IN Whois Database, discover comprehensive ownership details, registration dates, and more for .INTERNET.IN TLD with Whois Data Center.

The complete Comodo Internet Security database is available for download...

United States Internet Access Connection: Business: Wisconsin data was reported at 956.000 Number th in Dec 2017. This records a decrease from the previous number of 963.000 Number th for Jun 2017. United States Internet Access Connection: Business: Wisconsin data is updated semiannually, averaging 376.000 Number th from Dec 2000 (Median) to Dec 2017, with 35 observations. The data reached an all-time high of 963.000 Number th in Jun 2017 and a record low of 18.000 Number th in Dec 2000. United States Internet Access Connection: Business: Wisconsin data remains active status in CEIC and is reported by Federal Communications Commission. The data is categorized under Global Database’s United States – Table US.TB021: Internet Access.

Internet Domain Services BS Corp Whois Database, discover comprehensive ownership details, registration dates, and more for Internet Domain Services BS Corp with Whois Data Center.

CONTENT

This is a list of Internet companies by revenue and market capitalization. The list is limited to dot-com companies, defined as a company that does the majority of its business on the Internet, with annual revenues exceeding US$1 billion. It excludes Internet service providers or other information technology companies. For a more general list of technology companies, see list of largest technology companies by revenue. This list is incomplete and does not include some dot-com companies acquired by incumbent brick and mortar firms to expand the distribution channels

Denmark DK: Internet Users: Individuals: % of Population data was reported at 97.099 % in 2017. This records an increase from the previous number of 96.968 % for 2016. Denmark DK: Internet Users: Individuals: % of Population data is updated yearly, averaging 78.595 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 97.099 % in 2017 and a record low of 0.097 % in 1990. Denmark DK: Internet Users: Individuals: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Denmark – Table DK.World Bank: Telecommunication. Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.; ; International Telecommunication Union, World Telecommunication/ICT Development Report and database.; Weighted average; Please cite the International Telecommunication Union for third-party use of these data.