The statistic shows the average internet connection speed in the United States from 2007 to 2017. In the first quarter of 2017, the average internet connection speed was ***** Mbps.

The statistic shows the average speed of Wi-Fi in the United States from 2016 to 2023. In 2017, the average Wi-Fi speed reached 32.26 megabits per second. It is forecast to get faster and faster, reaching 73.79 megabits per second by 2023.

An analysis of average internet speeds across U.S. states in 2025, highlighting the fastest and slowest regions.

It is a painful reality for many internet users that not all online connections are created equally – this is something that online users in low-density and rural U.S. states can attest to. According to August 2018 data, New Jersey was the U.S. state with the fastest internet connection with an average connection speed of 52 Mbps. Montana ranked last with an average connection speed of 20.3 Mbps. Internet speed in the United States There are many U.S. cities that are bustling hubs for tech companies and startups and it is no surprise that connectivity and innovation go hand in hand. According to data from the third quarter of 2018, Kansas City, Missouri had access to fixed internet connections with the fastest average download speed in the United States at 159.19 Megabits per second and also scored highest for average upload speed with 127.03 Mbps. In 2011, Kansas City, MO was selected as one of the first cities to receive Google Fiber, Google’s then newly launched broadband internet service. Other notable metro areas in the ranking of the cities with the fastest upload and download speeds include Texas tech heavyweights Austin and San Antonio, as well as San Francisco, California and Boston, Massachusetts. Mobile internet connectivity in the United States As of the first quarter of 2019, over 40 percent of website traffic in the United States was via mobile device. Mobile internet adoption is driven by availability and cost – in 2018, the estimated average price of cellular data per gigabyte in the United States was 4.64 U.S. dollars. However, the cost per mobile GB is projected to decrease to 2.75 U.S. dollars by 2023. In the third quarter of 2018, Minneapolis, Minnesota had access to the fastest average mobile download speed in the United States at 44.92 Megabits per second, and also scored highest for average upload speed with 14.26 Mbps.

As of March 2025, Singapore had the fastest fixed broadband internet worldwide, with an average download speed of 345.33 Mbps. The UAE ranked second at 313.55 Mbps, while Hong Kong followed in third. Fixed internet connections deliver broadband to a home, office, or other fixed premises, with fiber connections offering the best quality service.

This statistic shows the average Wi-Fi network connection speeds in North America until 2020, with projections looking towards 2023 (in Mbps). The average speed in 2020 was 70.7 Mbps, which was a 24 percent increase from 2019. In 2021, it is expected to increase by another 23 percent from 2020 with 58.9 Mbps.

The statistic shows the average speed of cellular networks in the United States from 2016 to 2023. In 2017, the average cellular network speed reached 12.65 megabits per second. The speed is forecast to grow to 27.06 megabits per second by 2023.

The internet service providers industry uses wired infrastructure to provide clients with internet access and related services, like web hosting, web page designing and consulting related to internet connectivity. Rising internet usage has benefited industry revenue growth, and government-subsidized network expansion has done the same, increasing the number of US broadband connections. A push toward broadband expansion in rural markets and a climb in demand from business customers has boosted industry revenue, which is poised to incline at an annualized rate of 3.5% to $168.5 billion in 2025, including growth of 4.2% in 2025 as investments and activity mount in line with an improving macroeconomic environment. As households increasingly rely on the internet for streaming, gaming, remote work, and cloud computing, ISPs are scrambling to deliver faster and more reliable service. The rising adoption of cloud computing, which involves accessing data online, has boosted demand for dedicated internet access services sold at a higher profit. With increasing demand, providers have begun launching fiber optic networks, rapidly improving connection speeds. Major enterprises that typically benefit from economies of scale also continue to bundle TV and phone, which includes Voice over Internet Protocol services and high-speed internet into one service package, adopting new technology. Consolidation has swept the industry, with blockbuster mergers—such as T-Mobile’s tie-up with Sprint and Verizon’s multi-billion-dollar acquisition push—reshaping market share and intensifying competition. At the same time, average broadband speeds have more than doubled, but ISPs have faced mounting pressure from cord-cutters, OTT competitors and fierce price wars, often leading to flat or declining revenues per user even as consumer bandwidth use reaches new heights. This competitive environment has led to plummeting profit. Looking ahead, the ISP industry shows no sign of slowing down. Over the next five years, fiber expansion and 5G fixed wireless will reach an even greater share of US households. Providers will continue investing heavily in gigabit networks, edge computing and advanced Wi-Fi to keep pace with the explosion in cloud computing, IoT devices and remote work. Retaining customers will hinge on delivering faster speeds, greater reliability, strong security and innovative value-added services, especially as open-access networks and new entrants threaten to erode traditional market advantages. Continued demand will lead to industry revenue growth, poised to climb at an annualized rate of 4.4% to $208.9 billion in 2030.

The statistic shows the countries with the highest average internet connection speed during the first quarter of 2017, measured in Megabits per second. During that quarter, IPv4 internet connections in Norway averaged a connection speed of 23.5 Mbps. The global average IPv4 connection speed was 7.2 Mbps.

Average connection speeds are higher in developed Asian countries; South Korea leads with an average connection speed of 28.6 Mbps. This is a growth of more than 9.3 percent to the first quarter of the previous year.

The U.S. states with the highest average internet connection speed include Delaware, District of Columbia and Utah, with first-ranking D.C. having an average connection speed of some 28.1 Mbps as of the first quarter of 2017.

As of the same period, 83 percent of internet users in South Korea enjoyed a connection speed of over 10 Mbps, which is classed as high broadband connectivity. Next in the 10 Mbps broadband adoption rate ranking are Switzerland and the Singapore with 73 percent of high broadband connectivity each. Both Switzerland and Singapore's relatively small size combined with their wealth are a significant factor in terms of telecommunications infrastructure upgrades.

Up until the beginning of 2014, average connection speeds worldwide were under 4 Mbps and by the fourth quarter of 2016, global connection speed averaged at 7 Mbps.

This statistic shows the average fixed internet download and upload speeds in selected cities in the United States as of the third quarter of 2018, broken down by city. According to the most recent data, Kansas City, Missouri had access to fixed internet connections with the fastest average download speed in the United States at 159.19 Megabits per second, and also scored highest for average upload speed with 127.03 Mbps.

Within the Asia Pacific region, South Korea had the highest average IPv4 internet connection speed at 28.6 megabits per second (Mbps). Considering this, it comes as no surprise that South Korea also had the highest internet penetration rate and the highest 4G download speed  across Asia. This was due to governmental efforts to facilitate the expansion and improvement of internet. 

Current state of internet in Asia 

Although Singapore had the third-fastest average IPv4 connection speed as of 2017, in 2018, it nonetheless had the fastest internet overall with a mean download speed of 60.39 Mbps, surpassing larger countries such as the U.S. and Germany.  Although India and the Philippines had the lowest average internet connection speeds, its year-on-year growth was higher than the leading countries with respectively 87% and 57%. In the Philippines, the government carried out a National Broadband Plan (NBP) to increase nationwide internet access. Similarly, the Indian government had also proposed a national broadband network to connect all cities and villages. 

Internet connection speed explained 

Megabits per second (Mbps) refer to the speed with which information can be downloaded or uploaded from and to the internet. For the Federal Communications Commission, a sufficient broadband internet connection requires a minimum of 25 Mbps for downloads and 3 Mbps for uploads. In the world of internet, connection speeds above 20 Mbps enable swift web surfing, HD content streaming as well as fast downloads. 

This dataset contains measures of broadband internet access and usage per United States ZIP code tabulation area (ZCTA) in 2014 through 2018. The data is derived primarily from internet service providers’ Form 477 reports to the Federal Communications Commission. Key variables include the average upload and download speed of fixed broadband connections, the number of internet service providers, and the number of households with broadband.

This data is used for a broadband mapping initiative conducted by the Washington State Broadband Office. This dataset provides global fixed broadband and mobile (cellular) network performance metrics in zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). Data is projected in EPSG:4326. Download speed, upload speed, and latency are collected via the Speedtest by Ookla applications for Android and iOS and averaged for each tile. Measurements are filtered to results containing GPS-quality location accuracy. The data was processed and published to ArcGIS Living Atlas by Esri.AboutSpeedtest data is used today by commercial fixed and mobile network operators around the world to inform network buildout, improve global Internet quality, and increase Internet accessibility. Government regulators such as the United States Federal Communications Commission and the Malaysian Communications and Multimedia Commission use Speedtest data to hold telecommunications entities accountable and direct funds for rural and urban connectivity development. Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access.DataHundreds of millions of Speedtests are taken on the Ookla platform each month. In order to create a manageable dataset, we aggregate raw data into tiles. The size of a data tile is defined as a function of "zoom level" (or "z"). At z=0, the size of a tile is the size of the whole world. At z=1, the tile is split in half vertically and horizontally, creating 4 tiles that cover the globe. This tile-splitting continues as zoom level increases, causing tiles to become exponentially smaller as we zoom into a given region. By this definition, tile sizes are actually some fraction of the width/height of Earth according to Web Mercator projection (EPSG:3857). As such, tile size varies slightly depending on latitude, but tile sizes can be estimated in meters.For the purposes of these layers, a zoom level of 16 (z=16) is used for the tiling. This equates to a tile that is approximately 610.8 meters by 610.8 meters at the equator (18 arcsecond blocks). The geometry of each tile is represented in WGS 84 (EPSG:4326) in the tile field.The data can be found at: https://github.com/teamookla/ookla-open-dataUpdate CadenceThe tile aggregates start in Q1 2019 and go through the most recent quarter. They will be updated shortly after the conclusion of the quarter.Esri ProcessingThis layer is a best available aggregation of the original Ookla dataset. This means that for each tile that data is available, the most recent data is used. So for instance, if data is available for a tile for Q2 2019 and for Q4 2020, the Q4 2020 data is awarded to the tile. The default visualization for the layer is the "broadband index". The broadband index is a bivariate index based on both the average download speed and the average upload speed. For Mobile, the score is indexed to a standard of 25 megabits per second (Mbps) download and 3 Mbps upload. A tile with average Speedtest results of 25/3 Mbps is awarded 100 points. Tiles with average speeds above 25/3 are shown in green, tiles with average speeds below this are shown in fuchsia. For Fixed, the score is indexed to a standard of 100 Mbps download and 3 Mbps upload. A tile with average Speedtest results of 100/20 Mbps is awarded 100 points. Tiles with average speeds above 100/20 are shown in green, tiles with average speeds below this are shown in fuchsia.Tile AttributesEach tile contains the following adjoining attributes:The year and the quarter that the tests were performed.The average download speed of all tests performed in the tile, represented in megabits per second.The average upload speed of all tests performed in the tile, represented in megabits per second.The average latency of all tests performed in the tile, represented in millisecondsThe number of tests taken in the tile.The number of unique devices contributing tests in the tile.The quadkey representing the tile.QuadkeysQuadkeys can act as a unique identifier for the tile. This can be useful for joining data spatially from multiple periods (quarters), creating coarser spatial aggregations without using geospatial functions, spatial indexing, partitioning, and an alternative for storing and deriving the tile geometry.LayersThere are two layers:Ookla_Mobile_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a cellular connection type (e.g. 4G LTE, 5G NR).Ookla_Fixed_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a non-cellular connection type (e.g. WiFi, ethernet).The layers are set to draw at scales 1:3,000,000 and larger.Time Period and update Frequency Layers are generated based on a quarter year of data (three months) and files will be updated and added on a quarterly basis. A /year=2020/quarter=1/ period, the first quarter of the year 2020, would include all data generated on or after 2020-01-01 and before 2020-04-01.

AboutSpeedtest data is used today by commercial fixed and mobile network operators around the world to inform network buildout, improve global Internet quality, and increase Internet accessibility. Government regulators such as the United States Federal Communications Commission and the Malaysian Communications and Multimedia Commission use Speedtest data to hold telecommunications entities accountable and direct funds for rural and urban connectivity development. Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access.DataOverviewTilesHundreds of millions of Speedtests are taken on the Ookla platform each month. In order to create a manageable dataset, we aggregate raw data into tiles. The size of a data tile is defined as a function of "zoom level" (or "z"). At z=0, the size of a tile is the size of the whole world. At z=1, the tile is split in half vertically and horizontally, creating 4 tiles that cover the globe. This tile-splitting continues as zoom level increases, causing tiles to become exponentially smaller as we zoom into a given region. By this definition, tile sizes are actually some fraction of the width/height of Earth according to Web Mercator projection (EPSG:3857). As such, tile size varies slightly depending on latitude, but tile sizes can be estimated in meters.For the purposes of these layers, a zoom level of 16 (z=16) is used for the tiling. This equates to a tile that is approximately 610.8 meters by 610.8 meters at the equator (18 arcsecond blocks). The geometry of each tile is represented in WGS 84 (EPSG:4326) in the tile field.The data can be found at: https://github.com/teamookla/ookla-open-dataUpdate CadenceThe tile aggregates start in Q1 2019 and go through the most recent quarter. They will be updated shortly after the conclusion of the quarter.Esri ProcessingThis layer is a best available aggregation of the original Ookla dataset. This means that for each tile that data is available, the most recent data is used. So for instance, if data is available for a tile for Q2 2019 and for Q4 2020, the Q4 2020 data is awarded to the tile. The default visualization for the layer is the "broadband index". The broadband index is a bivariate index based on both the average download speed and the average upload speed. For Mobile, the score is indexed to a standard of 35 megabits per second (Mbps) download and 3 Mbps upload. A tile with average Speedtest results of 25/3 Mbps is awarded 100 points. Tiles with average speeds above 25/3 are shown in green, tiles with average speeds below this are shown in fuchsia. For Fixed, the score is indexed to a standard of 100 Mbps download and 3 Mbps upload. A tile with average Speedtest results of 100/20 Mbps is awarded 100 points. Tiles with average speeds above 100/20 are shown in green, tiles with average speeds below this are shown in fuchsia.Tile AttributesEach tile contains the following attributes:The year and the quarter that the tests were performed.The average download speed of all tests performed in the tile, represented in megabits per second.The average upload speed of all tests performed in the tile, represented in megabits per second.The average latency of all tests performed in the tile, represented in millisecondsThe number of tests taken in the tile.The number of unique devices contributing tests in the tile.The quadkey representing the tile.QuadkeysQuadkeys can act as a unique identifier for the tile. This can be useful for joining data spatially from multiple periods (quarters), creating coarser spatial aggregations without using geospatial functions, spatial indexing, partitioning, and an alternative for storing and deriving the tile geometry.LayersThere are two layers:Ookla_Mobile_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a cellular connection type (e.g. 4G LTE, 5G NR).Ookla_Fixed_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a non-cellular connection type (e.g. WiFi, ethernet).The layers are set to draw at scales 1:3,000,000 and larger.Time Period and Update FrequencyLayers are generated based on a quarter year of data (three months) and files will be updated and added on a quarterly basis. A year=2020/quarter=1, the first quarter of the year 2020, would include all data generated on or after 2020-01-01 and before 2020-04-01.Data is subject to be reaggregated regularly in order to honor Data Subject Access Requests (DSAR) as is applicable in certain jurisdictions under laws including but not limited to General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and Lei Geral de Proteção de Dados (LGPD). Therefore, data accessed at different times may result in variation in the total number of tests, tiles, and resulting performance metrics.

This dataset 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. Key variables include the average upload and download speed of fixed broadband connections, the number of internet service providers, and the number of actual connections per 1000 households.

A curated version of this data is available through ICPSR at http://dx.doi.org/10.3886/ICPSR38567.v1">http://dx.doi.org/10.3886/ICPSR38567.v1

PDF Map of FCC Form 477 provider reported maximum download speeds by census block for January - June 2020. This map seeks to highlight areas that are undeserved by terrestrial broadband (fiber/cable/dsl on the ground), with "underserved" defined as down/up speeds less than 25/3 Mbps.These data represent a static snapshot of provider reported coverage between January 2020 and June 2020. Maps also depict the locations of federally recognized tribes, Alaskan communities, ANCSA and borough boundaries.Broadband coverage is represented using provider reported speeds under the FCC Form 477 the amalgamated broadband speed measurement category based on Form 477 "All Terrestrial Broadband" as a proxy for coverage. This field is unique to the NBAM platform. These maps do not include satellite internet coverage (and may not include microwave coverage through the TERRA network for all connected areas).This map was produced by DCRA using data provided by NTIA through the NBAM platform as part of a joint data sharing agreement undertaken in the year 2021. Maps were produced using the feature layer "NBAM Data by Census Geography v4": https://maps.ntia.gov/arcgis/home/item.html?id=8068e420210542ba8d2b02c1c971fb20Coverage is symbolized using the following legend:No data avalible or no terrestrial coverage: Grey or transparent< 10 Mbps Maximum Reported Download: Red10-25 Mbps Maximum Reported Download: Orange25-50 Mbps Maximum Reported Download: Yellow50-100 Mbps Maximum Reported Download: Light Blue100-1000 Mbps Maximum Reported Download: Dark Blue_Description from layer "NBAM Data by Census Geography v4":This layer is a composite of seven sublayers with adjacent scale ranges: States, Counties, Census Tracts, Census Block Groups, Census Blocks, 100m Hexbins and 500m Hexbins. Each type of geometry contains demographic and internet usage data taken from the following sources: US Census Bureau 2010 Census data (2010) USDA Non-Rural Areas (2013) FCC Form 477 Fixed Broadband Deployment Data (Jan - Jun 2020) Ookla Consumer-Initiated Fixed Wi-Fi Speed Test Results (Jan - Jun 2020) FCC Population, Housing Unit, and Household Estimates (2019). Note that these are derived from Census and other data. BroadbandNow Average Minimum Terrestrial Broadband Plan Prices (2020) M-Lab (Jan - Jun 2020)Some data values are unique to the NBAM platform: US Census and USDA Rurality values. For units larger than blocks, block count (urban/rural) was used to determine this. Some tracts and block groups have an equal number of urban and rural blocks—so a new coded value was introduced: S (split). All blocks are either U or R, while tracts and block groups can be U, R, or S. Amalgamated broadband speed measurement categories based on Form 477. These include: 99: All Terrestrial Broadband Plus Satellite 98: All Terrestrial Broadband 97: Cable Modem 96: DSL 95: All Other (Electric Power Line, Other Copper Wireline, Other) Computed differences between FCC Form 477 and Ookla values for each area. These are reflected by six fields containing the difference of maximum, median, and minimum upload and download speed values.The FCC Speed Values method is applied to all speeds from all data sources within the custom-configured Omnibus service pop-up. This includes: Geography: State, County, Tract, Block Group, Block, Hex Bins geographies Data source: all data within the Omnibus, i.e. FCC, Ookla, M-Lab Representation: comparison tables and single speed values

This statistic shows the average mobile internet download and upload speeds in selected cities in the United States as of the second quarter of 2019, broken down by city. According to the most recent data, Minneapolis, Minnesota had access to the fastest average mobile download speed in the United States at 61.54 Megabits per second, and also scored highest for average upload speed with 15.87 Mbps.

This data compares Australia's performance in broadband against the other 30 OECD nations (at Dec 2018). A graph ordered by count of subs over 100Mbps puts Australia in the bottom two (since we have no over 100Mbps at Dec 2018).A presentation titled; "Maximising the Value of the NBN; comparing our NBN to Australia's Top 10 Trading Partners and the OECD", attached for presentation 25 Feb 2020, Telsoc event (link added below at Telsoc.org; includes video of event). Event Title: NBN Futures Forum - Learning from International Experience (Description added). Melbourne.Version: 14: Paper published in Journal of Telecomms and Digital Economy; Vol 8, No. 2 (Jun 2020) - see DOI below (10.18080/jtde.v8n2.252)13; add slideshare link.12. Original OECD file found with AU speed breakdown - now loaded. Confirming speed analysis of AU.11. Loaded copy of OECD data file. File now contains only aggregate Australia data. No breakdown by speed available from OECD site. This casts some doubt on the AU breakdown, provided in file attached, and may be a revision of the stats or an Author error. (28.2.20)10.FINAL slides loaded (24.2.20)9. Added OECD as Author.8. Draft v3 of slides (18.2.20).7. Seminar 25/2/20 (link added); Slides Draft v1, v2 slides added (pdf).6. Added pdf of Submission (Sub_016_RF.pdf) to Inquiry into NBN, and link to published submission. (Appendix 1 links not working). A separate Appendix 1 with working links now attached.4/5. Uploaded cleaned up Graph, with better legible x-axis. Countries marked with * are Australia's Top 10 Trading Partners - exports, imports.3. (Jan 2020) - adds China, Singapore who are non-OECD, and Australia 2009 (Source ABS 8153.00).Add filter, to allow comparing - all OECD (plus China, Singapore), filter = 1 (top 10 AU trading Partners), filter = 2 (AU 2009, 2018, post build NBN). Added slower speed for AU 2009.China estimate of slower speeds, based on s-curve take-up of high speed, see CNNIC Report (linked below). Singapore data - source to add. A calc of weighted average puts Australia in the bottom 3 of 30 OECD countries, just ahead of Colombia and Mexico, behind Chile, Turkey and Austria.ERRATA;Noted OECD original file, now no longer contains a breakdown of AU speeds, casting doubt on dataset. 28.2.20, corrected in V12.Noted China User count error is slowest speed - to amend. Noted calc error in V2 of average speed. Corrected in V3.OECD data available at: OECD Broadband Portalhttps://oecd.org/sti/broadband/5.1-FixedBB-SpeedTiers-2018-06.xlsNB: OECD should be an author of this dataset, but Figshare currently doesn't allow OECD to be included as an author, since they are not a known author in the Figshare system. Please cite as Ferrers, R, and OECD (2019). Title etc...Counts are measured in subscriptions per hundred people.SPEEDS>1.5/2 Mbps (megabits per second)>10 Mbps>25/30 Mbps>100 MbpsThe categories seem to mean;1.5 - 10Mbps | 10-30Mbps | 30-100Mbps | >100Mbps. A graph aggregates to three categories; slow (Under 30mbps), medium, 30-100 mbps) and fast (>100 mbps)This data is a response to the NBN sponsored report from Alpha Beta suggesting Australia is 19 / 37 countries and ahead of Germany, France and China. NBN report at: https://nbn.tm/Speed-CheckBased on Dec 2018 #OECD DATA of internet speeds as reported by each of 30 countries - AU is at the bottom end of speeds, one of the few to report 0% over 100mbps eg France 5 subs/100 ppl over 100mbps; Germany 6; Spain 9, US 9; Canada 10. #nbnCalculation of weighted average speed of broadband users puts Australia 32 / 34 countries at 7mbps. Impacted by large number of under 25mbps services (27/33).NEWS (2.9.20): China reports 417M FTTP/O connections (93% of total fixed connections) at Dec 19, and 85% of fixed connections at 100Mbps or over. https://cnnic.com.cn/IDR/ReportDownloads/

This layer is a composite of five sublayers with adjacent scale ranges showing the broadband score across the U.S. and outlying areas, at five different geographies – State, County, Tract, Block Group and Block. The broadband score is an index based on the FCC’s minimum standard of broadband of 25 megabits per second (Mbps) download and 3 Mbps upload. A geography with speeds of 25/3 Mbps is awarded 100 points. Each type of geometry contains housing, population, and internet usage data taken from the following sources:US Census Bureau 2010 Census data (2010)USDA Non-Rural Areas (2013)FCC Form 477 Fixed Broadband Deployment Data (January - June 2020)FCC Population, Housing Unit, and Household Estimates (2019). Note that these are derived from Census and other data.BroadbandNow Average Minimum Terrestrial Broadband Plan Prices (2020)Measurement Lab (Jan - Jun 2020)Broadband offering data from each provider for Census Blocks are in a related table Field Names / Record StructureThis layer includes over 150 attributes relating to reported speed and service information. In addition:Each block includes housing unit, household, and population estimates from the FCC.Each block has an attribute named WaterOnly that indicates if it is entirely water (yes/no).Each block has two attributes indicating whether it is urban or rural (CensusUrbanRural and USDAUrbanRural). For units larger than blocks, block count (urban/rural) was used to determine this. Some tracts and block groups have an equal number of urban and rural blocks—so a new coded value was introduced: S (split). All blocks are either U or R, while tracts and block groups can be U, R, or S.Each block has three attributes indicating whether it is part of a Tribal Block Group, is part of an American Indian/Alaska Native/Native Hawaiian Area (AIANNHA) and the AIANNHA name.US Census and USDA Rurality valuesAmalgamated broadband speed measurement categories based on Form 477. These include:99: All Terrestrial Broadband Plus Satellite98: All Terrestrial Broadband97: Cable Modem96: DSL95: All Other (Electric Power Line, Other Copper Wireline, Other)The FCC Speed Values method is applied to all speeds from all data sources within this service. This includes:Geography: State, County, Tract, Block Group, Block,

Internet access in the United States varies greatly based on where you live. This map illustrates the state of high speed Internet access across the US. Darker colors indicate areas with less access to high speed Internet, while lighter areas indicate areas of high access.You can click any feature in the map for more information about Internet access and basic demographics. Zoom in to see ZIP Code data.Greater Access to High Speed InternetLower Access to High Speed InternetThis map uses index values from Esri's Market Potential data. An index value of 100 represents the national average for access to high speed Internet. A value of 110 indicates an area is 10% more likely than the national average to have access to high speed Internet.