This map shows the percent of households with no internet access. Pop-up shows counts of households by type of internet access. Map is mulit-scale, with data for state, county, and tract. Map is mulit-scale, with data for state, county, and tract. Pie-chart categories are households with no internet connection, households with internet access with no subscription, households with Broadband of any type, and households with dial-up internet. Hover over the pie chart pieces to see the count of households in each category.More detailed categories as to the type of Broadband subscription are available in the layers.This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

A survey conducted in 2021 found that **** percent of households in Colombia had a good internet connection. However, the country has a major gap in its online offer, whereas respondents residing in capital cities had much better access to the web than those living in dispersed villages and rural localities. While more almost ** percent residents of capital cities claimed to have a good or very good internet access, more than half of those living in more isolated claimed their connection were bad or really bad.

This statistic displays information on the share of households with computer and broadband internet access in urban and rural areas in Lithuania between 2006 and 2017. In 2017, approximately ** percent of households in areas classified as large cities had computer and broadband internet access. In contrast, the rate was at approximately ** percent in rural areas.

Poland Internet: % of Household: Cities Under 100 000 Citizens data was reported at 81.395 % in 2017. This records an increase from the previous number of 80.600 % for 2016. Poland Internet: % of Household: Cities Under 100 000 Citizens data is updated yearly, averaging 66.061 % from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 81.395 % in 2017 and a record low of 28.000 % in 2004. Poland Internet: % of Household: Cities Under 100 000 Citizens data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Poland – Table PL.TB002: Personal Computer and Internet Statistics.

The gap between urban and rural areas in terms of household access to the internet in the European Union has closed over the period since 2007, with both urban and rural areas reporting over 90 percent connectivity. The increase in access to the internet is a major success in the EU's policy aim to spur a digital transformation of the European economy and societies.

The percentage of households without an internet subscription at home. Source: American Community Survey Years Available: 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023

The share of urban households with internet access in Latvia was approximately 95.62 percent in 2024. In a steady upward trend, the share rose by about 76.02 percentage points from 2004.

This web map application was created to show the number of households with no internet connection in the City of Dallas by census tract boundaries. Additionally, the City of Dallas "Neighborhood Associations" layer has been added to show the neighborhoods of the areas of interest. The map is symbolized to show the percentage of households with no internet connection.The ACS layer that feeds this application was created by Esri and is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.This application was created using this web map: Households with No Internet Access.Data Source: ACS Internet Connectivity Variables - Boundaries

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,...

Information on the number of Internet Service Providers offering service in each of New York City's Neighborhood Tabulation Areas, according to data made publicly available by the Federal Communications Commission.

Survey on Equipment and Use of Information and Communication Technologies in Households: Internet users in the last 12 months by Autonomous City and Community and degree of trust in the net. National.

In 2021, 98 percent of the Finnish households in the capital region had an internet connection. The corresponding figure for households in other large cities was 91 percent, and for households in rural areas 88 percent.

"Note: Some racial and ethnic categories are suppressed to avoid misleading estimates when the relative standard error exceeds 30%. Margins of error are estimated at the 90% confidence level.

Data Source: American Community Survey (ACS) 1-Year Estimates

Why This Matters

Today, people rely on high-speed internet to search for jobs, work remotely, receive medical care, access education, connect with the community, read the news, and more.

Despite our reliance on broadband, many homes lack access to high-speed internet and the opportunities it makes possible, whether due to affordability or a lack of infrastructure.

Black and Latino/a children are disproportionately likely to live in homes without broadband. This can lead to negative long-term educational and professional outcomes including worse grades and being under-prepared for the growing number of jobs that require digital skills.

The District's Response

The District provides free Wi-Fi at key community anchor locations throughout the city.

The Community Internet Program (CIP) leverages government buildings to provide free or reduced-cost internet to households who qualify for the Affordable Connectivity Program (ACP).


 The DC Community Access Network (DC-CAN) project encourages public-private partnership in delivering affordable broadband services to residents and businesses in underserved areas of the District (in particular Wards 5, 7, and 8).

Survey on Equipment and Use of Information and Communication Technologies in Households: Internet access in main dwellings by Autonomous Community and type of connection. Autonomous Community.

Survey on Equipment and Use of Information and Communication Technologies in Households: Persons who have used the computer and Internet within the last 3 months by Autonomous Communities and depending on Internet use. Autonomous Communities.

As of 2024, an estimated ** percent of all individuals worldwide were using the internet. The internet penetration rate in worldwide urban areas was around ** percent, and ** percent in rural areas. The lowest penetration rate was registered in rural areas of the Least Developed Countries (LDCs), ** percent. Urban Small Island Developing Countries, on the other hand, reported an internet usage rate of ** percent.

Percentage of Canadians who have access to the Internet at home.

According to a survey conducted between 2021 and 2022, the share of households using the internet from home in urban areas was ** percent. This was higher compared to the proportion with internet access at home in rural areas, which was **** percent.

Number of households by type of internet connection by Built Up Urban Area. (Census 2022 Theme 15 Table 2 )Census 2022 table 15.2 is number of households with types of internet connection. Attributes include a breakdown of households by access to internet. Census 2022 theme 15 is Motor Car Availability and Internet Access. Built Up Areas (BUAs) are a new type of urban geography that define towns. They are the result of a collaboration between the CSO, Tailte Éireann and the Department of Housing, Local Government and Heritage. BUAs are made up of whole Small Areas which eliminates the possibility of statistical disclosure. Coordinate reference system: Irish Transverse Mercator (EPSG 2157). These boundaries are based on 20m generalised boundaries sourced from Tailte Éireann Open Data Portal. CSO Urban Areas 2022

As of 2024, an estimated ** percent of Europeans living in rural areas accessed the internet, compared to ** percent of the Commonwealth of Independent States (CIS) rural population. The lowest internet usage reach was in rural areas in Africa, at ** percent. Overall, urban areas presented a higher percentage of internet penetration.