This graph shows the percentage of adults in the United States that have access to home broadband internet, sorted by age groups. In 2023, 87 percent of the 30-49 year-old adults had a home broadband connection at home. This is the highest share amongst all age groups.

The average monthly data use per fixed residential broadband connection fell slightly to *** gigabytes in the United Kingdom in 2024, down from *** gigabytes in 2023. Broadband data traffic increased rapidly in the decade following 2013, reflecting the broad adoption of data-intensive activities such as 4K streaming, online gaming, and remote work.

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

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,...

The monthly in-home data usage in the United States for all device categories with the exception of personal computers has risen in the first three months of 2020 compared to the same time in the previous year. Most likely due to restrictions brought on by the coronavirus pandemic, the in-home data usage of smartphones rose by 34 percent in March 2020 compared to the same time period in 2019.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

Since the declaration of the coronavirus (COVID-19) as a pandemic (March 11, 2020), the average daily broadband usage in the United States has gone up compared to earlier in the year. In the week from March 11 to March 18, 2020, the average daily broadband data usage per user in the United States was 6.3 GB during the office hours, an increase of 41.4 percent compared to January. The increase is most likely due to more people working from home and overall restrictions for people to stay at home.

Dataset

This dataset was created by Sanjeev Shrestha

Contents

Denmark Internet Usage: Access at Home: Household: Couples Without Children data was reported at 97.000 % in 2018. This records a decrease from the previous number of 98.000 % for 2017. Denmark Internet Usage: Access at Home: Household: Couples Without Children data is updated yearly, averaging 89.000 % from Apr 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 99.000 % in 2012 and a record low of 53.000 % in 2001. Denmark Internet Usage: Access at Home: Household: Couples Without Children data remains active status in CEIC and is reported by Statistics Denmark. The data is categorized under Global Database’s Denmark – Table DK.TB001: Internet Usage: by Type and Access.

The percentage of households that have both Home Broadband and Mobile Broadband subscriptions for each of New York City Public Use Microdata Areas. 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.

Canadian Internet use survey, Internet use at home, by age group and frequency of use, for Canada from 2005 to 2009. (Terminated)

The average daily in-home data usage in the United States has increased significantly during the coronavirus (COVID-19) outbreak in March 2020. Compared to the same time in March 2019 the daily average in-home data usage has increased by 38 percent to 16.6 gigabytes, up from 12 gigabytes in March 2019. The increase can be observed across almost all device categories with the data usage of gaming consoles and smartphones increasing the most.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

Digital Habits and Employment Status Survey

American Digital Usage and Employment Trends

By Joshua Shepherd [source]

About this dataset

This comprehensive dataset provides a rich and multi-faceted exploration into the intriguing world of digital habits, employment status, and demographics of Americans. Inspired by evolving modern lifestyle trends, this dataset meticulously draws information from varied topics such as gaming habits, job search techniques and broadband usage.

The first part of the dataset delves into the realm of video games and gaming culture. It explores various aspects related to individual's preferences towards different types of games across diverse platforms. It uncovers insights into how much time users spend on these games, their favoured genres and platforms (such as consoles or PC), along with their perspectives on important issues concerning violence in video games.

Next up is an insightful dataset that revolves around job seeking trends through digital channels. In a fast-paced business world where online resources have started playing an integral role in career progression and job hunt processes, this data provides valuable insights about Americans' reliance on internet services for finding potential jobs.

Hard-hitting questions revolving around workforce automation form yet another component of this extensive database. This section throws light upon the use of computers, robots or artificial intelligence to carry out tasks traditionally performed by human workers.

Probing further into modern relationship dynamics comes queries pertaining to online dating landscape. This segment explores Americans' attitudes towards online dating platforms - their usual go-to applications/web portals for seeking new relationships or love interests.

Lastly but importantly is an exhaustive set containing facts and figures regarding home broadband usage among Americans across all age groups & genders including their access to crucial cable TV services & smartphone possession rates & dependency levels over them in daily life activities ranging from shopping to banking & even learning new skills!

Collectively offering a well-rounded snapshot at contemporary American societies –this explorative data aims at providing stepping stones for researchers trying to understand these realms thereby serving larger cause making our society better

How to use the dataset

This dataset provides a rich collection of information about the digital habits, employment status, and secondary demographic data of respondents from the June-July 2015 Gaming, Job Search, and Broadband Usage Among Americans survey. With multiple sections regarding diverse topics such as gaming, online job searches, internet usage patterns and more fundamental demographics details - this dataset can be used for various kinds of exploratory data analysis (EDA), machine learning models or creating informative visualizations.

Here is how you can get started with this dataset:

1. Exploring Digital Habits:

The questions about video games ask if a respondent ever plays video games on a computer or console. This can be used to identify key trends in digital habits among different demographic groups - for instance correlation between age or gender and propensity towards gaming.

2. Analysing Job Searches:

The job seeking portion has information regarding use of internet in search processes and its effectiveness according to respondents’ opinion. You could perform an analysis on how working status (or even age group) affects the way individuals employ technology during their job searches.

3. Studying Broadband Usage:

Data about broadband usage at home would give insights into internet adoption rates among various demographic groups.

4.Predictive Modelling:

Potential predictive modeling could include predicting someone's employment status based on their digital habits or vice versa.

5.Cross-Referencing Data Points:

Using two or more datapoints can yield some interesting results as well - like finding out if gamers are more likely than non-gamers to frequently change jobs or seeing if there is any correlation with high speed broadband usage and employment type etc.

Before conducting any analysis do keep in mind that it would be beneficial to conduct some basic cleaning tasks such as checking for missing values, removing duplicates etc., suitable encoding discrete variables including education level into numerical ones based upon intuition behind categories ordinality could also provide better model performance.

This is just scratching the surface of p...

United States US: Fixed Broadband Internet Subscribers: per 100 People data was reported at 33.853 Ratio in 2017. This records an increase from the previous number of 33.002 Ratio for 2016. United States US: Fixed Broadband Internet Subscribers: per 100 People data is updated yearly, averaging 24.639 Ratio from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 33.853 Ratio in 2017 and a record low of 0.256 Ratio in 1998. United States US: Fixed Broadband Internet Subscribers: per 100 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Telecommunication. Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.; ; 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.

In 2019, 90.4 percent of households in Colorado used a broadband internet connection at home. Washington, Utah, and Colorado were the only three states with over 90 percent of households having a broadband connection at home.

This data provides estimates of Internet, broadband, and mobile use at the subnational level from 1997-2014. While the U.S. Bureau of the Census has collected data on Internet use over the years, estimates below the state level did not exist until the introduction of the new American Community Survey in 2013. The datasets here fill these gaps with estimates over time for cities, counties, metropolitan areas and states. They also provide demographic breakdowns for the 2013 and 2014 American Community Survey data, beyond what is available on the census website. The datasets can be used to draw comparisons across geographic locations and across time, to track inequality, change, and the impact of Internet use. Collectively, they show major differences across cities, as well as between urban and rural counties. Time series data indicate the flattening of growth in recent years, leading to the persistence of inequalities across places and demographic groups. Multilevel models are used to estimate the percentage of Internet use across counties, principal cities, and metropolitan areas with the CPS and ACs data. A group of random intercept logistic regressions (a type of multilevel model) are constructed for each of the Internet-related variables, namely, home Internet access, home broadband, mobile Internet, and fully-connected household (with broadband and mobile). Estimates are based on the U.S. Bureau of the Census Current Population Survey data for 1997, 2998, 200, 2001, 2003, 2007, 2009, 2010, 2011, and 2012 and the U.S. Bureau of the Census American Community Survey 2013 and 2014, with estimates for missing years imputed via linear interpolation. Estimates for home Internet access are available for 1997-2014, home broadband use for 2000-2014, and mobile use and fully-connected Internet use for 2011-2014. Data available for different geographies is described below. Current Population Survey Data, 1997-2012: Internet use time series, three-year averages, time series for rate of change in Internet use, three-year averages for the rate of change, and yearly summary statistics are available for approximately 330 counties (with some variation over years), the 50 largest Metropolitan Statistical Areas (MSAs), principal cities in the 50 largest MSAs, and the 50 states. American Community Survey Data, 2013-2014: Using Summary Tables of the American Community Survey available in FactFinder, estimates for home Internet access and home broadband are provided by race, ethnicity, education, age, and employment status for 50 states, 817 counties, 381 MSAs, 383 principal cities in 2013 and 387 principal cities in 2014. Using microdata, estimates are developed for home Internet access, home broadband, mobile Internet, and fully connected households broken down by race, ethnicity, education, age, family income, and language skill. The microdata estimates are available for 50 states, 417 counties, 260 MSAs and 102 principal cities in 2013. See Codebook for a more complete description of the datasets, data sources, survey questions, and methods. See the Center for Policy Informatics at Arizona State University website at policyinformatics.asu.edu/broadband-data-portal/home for visualization (maps and graphs) and for further information about this project.

Percentage of households who have internet access at home. Data based on the annual EU survey on the use of Information and Communication Technologies (ICT) in households and by individuals.

Percentage of Internet users by selected Internet service and technology, such as; home Internet access, use of smart home devices, use of smartphones, use of social networking accounts, use or purchase of streaming services, use of government services online and online shopping.

Canadian Internet use survey, Internet use at home, by sex and specific educational purposes, for Canada in 2005. (Terminated)

Comparison of selected years of home internet use data form US Census, courtesy of NTIA

Home Broadband QoE Platform Market Outlook

According to our latest research, the global Home Broadband QoE Platform market size in 2024 is valued at USD 1.36 billion, reflecting robust adoption across the broadband industry. The market is projected to grow at a CAGR of 14.8% from 2025 to 2033, reaching an estimated USD 4.78 billion by 2033. The primary growth factor for this market is the increasing demand for enhanced customer experience and network reliability, driven by the proliferation of high-speed internet and the growing complexity of home broadband services. As per our latest research, the accelerating digital transformation and the need for real-time monitoring are driving the momentum in this dynamic sector.

The growth of the Home Broadband QoE Platform market is fundamentally propelled by the exponential increase in internet usage worldwide. With the rise of smart homes, IoT devices, and streaming services, consumers are demanding higher standards of network performance and reliability. This has compelled Internet Service Providers (ISPs) and telecom operators to invest heavily in advanced QoE (Quality of Experience) platforms to monitor, analyze, and optimize broadband services in real-time. The ability to proactively detect and resolve network issues, ensure seamless connectivity, and deliver a superior end-user experience is becoming a key competitive differentiator. Furthermore, regulatory mandates in several regions are pushing service providers to maintain stringent quality benchmarks, further amplifying the need for robust QoE platforms.

Another significant growth driver for the Home Broadband QoE Platform market is the rapid evolution of broadband technologies, including the widespread deployment of fiber optics and the rollout of 5G networks. These advancements are not only increasing the bandwidth available to consumers but also introducing new complexities in network management. The diversity of devices, applications, and user behaviors requires sophisticated analytics and performance management solutions. QoE platforms, leveraging AI and machine learning, are helping operators gain actionable insights into network health and user satisfaction. This trend is further fueled by the competitive landscape, where ISPs and telecom operators are under constant pressure to minimize churn and maximize customer loyalty by ensuring the highest possible service quality.

The expansion of cloud-based solutions and the integration of AI-driven analytics are also catalyzing the growth of the Home Broadband QoE Platform market. Cloud-based platforms offer scalability, flexibility, and cost-efficiency, making it easier for service providers to deploy and manage QoE solutions across vast and diverse networks. The integration of AI and big data analytics enables real-time detection of anomalies, predictive maintenance, and personalized user experiences. Additionally, the shift towards remote work and online education post-pandemic has further highlighted the criticality of reliable home broadband, prompting enterprises and households alike to demand better quality assurance. These factors are collectively fostering innovation and investment in the QoE ecosystem.

From a regional perspective, North America holds the largest share of the Home Broadband QoE Platform market, followed closely by Europe and Asia Pacific. The high penetration of broadband services, advanced infrastructure, and early adoption of next-generation technologies in North America are key contributors to its market dominance. Meanwhile, Asia Pacific is experiencing the fastest growth, driven by rapid urbanization, increasing internet penetration, and significant investments in fiber and 5G infrastructure. Europe remains a mature market with a strong focus on regulatory compliance and service quality. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as digital transformation initiatives gain momentum in these regions.

Component Analysis

The Home Broadband QoE Platform market is segmented by component into software, hardware, and services, each playing a pivotal role in shaping the overall market landscape. The software segment dominates the market, accounting for the largest revenue share in 2024. This dominance is attributed to the increasing adoption of sophisticated analytics, monitoring, and management tools that enable service providers to gain real-time insights into network performance an