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.

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

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.

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 May 2025, Singapore had the fastest fixed broadband internet worldwide, with a median download speed of 372.02 Mbps. France ranked second at 315.38 Mbps, while the UAE 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.

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 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.

Introduction

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 provided in both Shapefile format as well as Apache Parquet with geometries represented in Well Known Text (WKT) 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.

Content

Quadkeys 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.

Two layers are distributed as separate sets of files:

• mobile - Tiles containing tests taken from mobile devices with GPS-quality location and a cellular connection type (e.g. 4G LTE, 5G NR).
• fixed - Tiles containing tests taken from mobile devices with GPS-quality location and a non-cellular connection type (e.g. WiFi, Ethernet).

Quarter 1 refers to data from January to March. Quarter 2 refers to data from April to June. Quarter 3 refers to data from July to September. Quarter 4 refers to data from October to December. All the data is from the year 2020.

Citation

Speedtest® by Ookla® Global Fixed and Mobile Network Performance Maps. Based on analysis by Ookla of Speedtest Intelligence® data for 2020. Provided by Ookla and accessed February 15, 2021. Ookla trademarks used under license and reprinted with permission.

Image Credits: Unsplash - umby

Cox Communications emerged as the front-runner in fixed broadband download speeds in the United States during the final quarter of 2023, delivering a median speed of ****** Mbps. This performance outpaced competitors Spectrum and AT&T Internet, which secured the second and third positions, respectively. The race for faster internet speeds continues to intensify as providers strive to meet growing consumer demands for high-speed connectivity. Fiber Connections Gaining Ground The landscape of fixed internet connections in the U.S. is evolving, with fiber optic networks making significant inroads. Nearly a quarter of all fixed internet connections in the country in 2023 were fiber-based, offering superior speeds and reduced latency compared to traditional cable or DSL services. This shift towards fiber aligns with the global trend of countries investing in advanced internet infrastructure to boost connectivity. Customer Satisfaction and Upload Speeds While download speeds often grab headlines, upload capabilities are increasingly crucial for activities like online gaming, video conferencing, and file sharing. In this arena, AT&T and Frontier stood out, offering the best median fixed broadband upload speeds in the U.S. during the same period. Notably, AT&T's median upload speed was nearly double that of Verizon. This performance aligns with customer satisfaction metrics, as the American Customer Satisfaction Index ranked AT&T's fiber internet service highest among surveyed providers, followed by Verizon Fios.

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.

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.

United States US: Fixed Broadband Internet Subscribers data was reported at 109,838,000.000 Person in 2017. This records an increase from the previous number of 106,327,000.000 Person for 2016. United States US: Fixed Broadband Internet Subscribers data is updated yearly, averaging 74,417,000.000 Person from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 109,838,000.000 Person in 2017 and a record low of 705,900.000 Person in 1998. United States US: Fixed Broadband Internet Subscribers 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.; Sum; Please cite the International Telecommunication Union for third-party use of these data.

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 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.DataTilesHundreds 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 Cadence The 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 Attributes Each 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 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/ period, the first quarter of the year 2020, would include all data generated on or after 2020-01-01 and before 2020-04-01.

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.

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

United States Internet Access Connection: Oregon data was reported at 5,276.000 Number th in Dec 2017. This records an increase from the previous number of 5,116.000 Number th for Jun 2017. United States Internet Access Connection: Oregon data is updated semiannually, averaging 1,679.000 Number th from Dec 2000 (Median) to Dec 2017, with 35 observations. The data reached an all-time high of 5,276.000 Number th in Dec 2017 and a record low of 77.000 Number th in Dec 2000. United States Internet Access Connection: Oregon 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.

As of Spring 2025, T-Mobile US had by far the fastest average 5G download speed among major U.S. network operators at ***** Mbps. It also offered the best typical overall download speed at ***** Mbps. 5G networks offer faster download speeds, lower latency, and greater reliability than previous generations. T-Mobile’s merger with Sprint has enabled it to challenge AT&T and Verizon T-Mobile US, which is majority owned by the German telecommunications firm Deutsche Telekom, has made significant investments in its attempts to challenge the dominance of AT&T and Verizon. This has included its 26 billion U.S. dollar merger with Sprint in 2020, which dramatically increased its subscriber share and placed it to challenge its rivals in the 5G space over the coming years. In addition to delivering the fastest 5G download speeds, the operator has also offered the best coverage among U.S. network operators.

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 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 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/ period, the first quarter of the year 2020, would include all data generated on or after 2020-01-01 and before 2020-04-01.