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.

Global fixed broadband and mobile (cellular) network performance, allocated to 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.

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.

The global internet speed test market is experiencing robust growth, driven by the increasing reliance on high-speed internet for both personal and business applications. The proliferation of smart devices, streaming services, and remote work necessitates consistent monitoring and optimization of internet speeds, fueling demand for accurate and user-friendly speed test tools. While precise market sizing requires further data, a reasonable estimation based on the prevalence of internet usage and the rising adoption of internet-dependent technologies suggests a market value exceeding $1 billion in 2025. The Compound Annual Growth Rate (CAGR) is likely to remain strong, potentially exceeding 10% throughout the forecast period (2025-2033), driven by continuous advancements in internet technologies (like 5G and fiber optic expansion) and a growing need for reliable network performance monitoring across various internet access methods (cable, fiber, DSL, satellite, and fixed wireless). The market segmentation by application (individuals and businesses) highlights the broad appeal of speed test tools across diverse user groups. Businesses, in particular, rely on speed tests for network troubleshooting, performance optimization, and ensuring service level agreements (SLAs) are met. The competitive landscape is characterized by both established players (like Ookla, Netflix's Fast.com) and emerging companies offering innovative features and specialized testing solutions. Geographic expansion, particularly in developing economies experiencing rapid internet penetration, presents significant growth opportunities. The market's growth trajectory is also influenced by factors such as increasing internet penetration rates globally and evolving consumer expectations regarding internet speed and reliability. However, challenges remain. These include the need for standardization in speed test methodologies to ensure accurate comparisons across providers and platforms. Additionally, the market faces potential restraints from the inherent variability of internet speed resulting from network congestion, geographic location, and the technological capabilities of individual internet connections. Addressing these issues through improved standardization, transparent reporting, and continuous technological innovation is crucial for sustained market growth. Future developments may include AI-powered diagnostic tools integrated into speed test platforms, offering more granular insights into network performance issues and personalized solutions for users.

This map is part of SDGs Today. Please see sdgstoday.org. Ookla believes that good connectivity should not be a scarce resource. Everything we do is focused on providing objective, accurate performance data and insights to improve connectivity for all. Hundreds of millions of people worldwide use Speedtest® to measure their internet connection. With over 11 million consumer-initiated tests taken daily and billions of data points gathered, Ookla® data paints a clear picture of the performance, quality, and availability of networks around the world.Through our Ookla for GoodTM program, Ookla’s open datasets are available on a complimentary basis to help like-minded people make informed decisions around internet connectivity, policy, development, education, disaster response, public health, and economic growth.This dataset contains global results from Ookla Speedtest Intelligence® data. These results are then aggregated to web mercator tiles at the zoom-level of z=16 (which equates to roughly 610.8 meters by 610.8 meters at the equator). 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 tiles are aggregated at a quarterly level, beginning in Q1 2019 up until the most recently completed quarter. This map shows tiles aggregated at the administrative 0 and 1 levels.

This service is subset of the Ookla Speedtest Open Dataset. Layers are generated based on quarterly (three months) data. This layers represents Q2 2024.

Market Size and Growth: The global Internet Speed Test Tools market is projected to reach a value of $18,470 million by 2033, exhibiting a CAGR of XX% during the forecast period. The surging demand for high-speed internet connectivity, increasing adoption of streaming services, and the growing popularity of online gaming are driving the market's growth. Cloud-based solutions and mobile applications are gaining traction, providing ease of accessibility and real-time monitoring. Key Trends and Competitive Landscape: The market is fragmented with a diverse range of players offering both paid and free speed test tools. Leading companies include SpeedSmart, Etrality GmbH (Speedcheck), and Ookla Speedtest. The industry is witnessing the integration of advanced technologies such as AI and machine learning to enhance accuracy and personalize user experiences. Key trends include the adoption of 5G technology, the rise of edge computing, and the increasing demand for data security and privacy. The increasing demand for high-speed internet connectivity is driving the growth of the internet speed test tools market. These tools enable users to measure their internet speed and identify potential issues that may be affecting their connection.

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.

Market Analysis for Internet Speed Test Software The global market for internet speed test software is projected to reach a valuation of XX million USD by 2033, exhibiting a robust CAGR of XX% over the forecast period 2025-2033. The surge in demand for reliable and high-speed internet connectivity, particularly in the wake of remote work and online education, has been a key driver of market growth. Additionally, the proliferation of video streaming and gaming platforms, as well as the increasing adoption of Internet of Things (IoT) devices, has created a strong demand for accurate and efficient internet speed testing tools. The market is segmented by application (enterprise and personal) and type (on-premises and cloud-based). Key players in the industry include Speed Test Logger, Speed Connect, ISP Monitor, NetMeter EVO, DownTester, NetWorx, GlassWire, NetSpot, Network Speed Test, Network Speed Test Pro, Ookla Speedtest, Open Signal's Meteor, SpeedTest Master, SpeedSmart, Cloudflare, and FCC. Regional analysis reveals that North America and Asia Pacific are anticipated to remain prominent markets, while emerging regions like the Middle East & Africa and Latin America present significant growth opportunities in the coming years.

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.

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.

The website speed test market is experiencing robust growth, driven by the increasing reliance on internet-based services and the growing demand for seamless online experiences. Consumers and businesses alike are increasingly aware of the impact website speed has on user engagement, conversion rates, and overall satisfaction. This has fueled the adoption of website speed testing tools and services, leading to a significant expansion of the market. While precise figures for market size and CAGR are unavailable from the provided context, we can infer substantial growth based on the prominent players involved (including major corporations like Netflix, Comcast, and Google Fiber) and the ubiquitous nature of internet usage. The market is segmented by various players offering diverse services, ranging from simple speed tests to comprehensive performance analysis tools. Key drivers include the rising adoption of mobile devices, increased internet penetration globally, and the growing importance of search engine optimization (SEO), which directly correlates with website loading speed. The competitive landscape is dynamic, with both established players and new entrants vying for market share. Companies like Ookla and Google, with their extensive user bases and existing infrastructure, hold significant advantages. However, smaller, specialized companies offering niche services or focusing on specific geographic regions are also finding success. Future growth will likely be influenced by advancements in web technologies, the increasing adoption of 5G and other high-speed internet networks, and the continued evolution of SEO best practices. Restraints may include the relatively low cost of basic speed testing tools, which could limit pricing power for some providers, and the potential for market saturation in some segments. However, the ongoing expansion of the internet and the increasing sophistication of website design and development suggest a promising outlook for long-term market expansion.

A complete list of live websites using the Ookla Speedtest Custom technology, compiled through global website indexing conducted by WebTechSurvey.

This dashboard is part of SDGs Today. Please see sdgstoday.org. Ookla believes that good connectivity should not be a scarce resource. Everything we do is focused on providing objective, accurate performance data and insights to improve connectivity for all. Hundreds of millions of people worldwide use Speedtest® to measure their internet connection. With over 11 million consumer-initiated tests taken daily and billions of data points gathered, Ookla® data paints a clear picture of the performance, quality, and availability of networks around the world.Through our Ookla for GoodTM program, Ookla’s open datasets are available on a complimentary basis to help like-minded people make informed decisions around internet connectivity, policy, development, education, disaster response, public health, and economic growth.This dataset contains global results from Ookla Speedtest Intelligence® data. These results are then aggregated to web mercator tiles at the zoom-level of z=16 (which equates to roughly 610.8 meters by 610.8 meters at the equator). 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 tiles are aggregated at a quarterly level, beginning in Q1 2019 up until the most recently completed quarter. This dashboard shows tiles aggregated at the administrative 0 and 1 levels.

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.

The table Performance mobile tiles is part of the dataset Speedtest by Ookla Global Fixed and Mobile Network Performance Maps, available at https://redivis.com/datasets/est2-5wy4yk56m. It contains 3893022 rows across 7 variables.

The table Performance fix tiles is part of the dataset Speedtest by Ookla Global Fixed and Mobile Network Performance Maps, available at https://redivis.com/datasets/est2-5wy4yk56m. It contains 6742524 rows across 7 variables.

This data set provides mobile (cellular) network performance, allocated to zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). 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. For more information please see the Ookla Github repository or the Registry of Open Data on AWS. 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. AURIN has generated a subset corresponding to the intersection with the extent of the 2016 Greater Capital City Statistical Areas (GCCSA) boundaries from the ABS Australian Statistical Geography Standard (ASGS). It was then reprojected from EPSG 4326 (WGS84) to 4283 (GDA94). Additional columns have been added corresponding to the matching boundaries of the 2016 ABS Statistical Area Levels 2, 3 and 4, and the 2020 Local Government Areas. These were spatially joined using the centroid of each polygon, and therefore, should only be used as an approximation. Furthermore, grid cells residing outside of these boundaries, such as offshore or over rivers, are assigned a null value in these columns.

This layer is part of SDGs Today. Please see sdgstoday.org. Ookla believes that good connectivity should not be a scarce resource. Everything we do is focused on providing objective, accurate performance data and insights to improve connectivity for all. Hundreds of millions of people worldwide use Speedtest® to measure their internet connection. With over 11 million consumer-initiated tests taken daily and billions of data points gathered, Ookla® data paints a clear picture of the performance, quality, and availability of networks around the world.Through our Ookla for GoodTM program, Ookla’s open datasets are available on a complimentary basis to help like-minded people make informed decisions around internet connectivity, policy, development, education, disaster response, public health, and economic growth.This dataset contains global results from Ookla Speedtest Intelligence® data. These results are then aggregated to web mercator tiles at the zoom-level of z=16 (which equates to roughly 610.8 meters by 610.8 meters at the equator). 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 tiles are aggregated at a quarterly level, beginning in Q1 2019 up until the most recently completed quarter. This dashboard shows tiles aggregated at the administrative 1 level.

Nopeustesti - Finnish net speed – review 2019

Overview of data published by Ookla and Speedtest.com on the speeds of the Finnish Internet (Appendix: “results-2019-01-speed test”).

Speedtest.com is an open and reliable online speedometer for Finns. No operator-level data has been published in the data, but in addition to the test period, the region, the city and the metrics at this level are seen: Download speed, transmission speed, response time and jitter.

Speed Test Remarks

— The average download and transmission speeds are not at the level promised by the operators; — There are no major differences in averages between cities (the differences may be more visible in distances?) — When the average is weak, the individual high results and the lower end are flat – this still leaves the average in bad light.

The global website speed test market is experiencing robust growth, driven by the increasing reliance on internet-based services and the growing demand for optimal online experiences. The market's size in 2025 is estimated at $250 million, projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. The proliferation of mobile devices and the rise of e-commerce necessitate faster loading times for websites to enhance user satisfaction and conversion rates. Businesses are increasingly investing in website speed optimization tools and services to improve their online performance and gain a competitive edge. Furthermore, the increasing adoption of advanced technologies like Artificial Intelligence (AI) and Machine Learning (ML) in website speed testing is streamlining the process and providing more granular insights. The market segmentation reveals a strong demand across various internet connection types, with cable internet and fiber optic internet leading the way, reflecting the widespread availability and higher speeds offered by these technologies. Both individual users and businesses are significant consumers of website speed testing tools and services, highlighting the broad appeal and applicability of these solutions across diverse demographics. While the market faces challenges such as fluctuating internet speeds and the diverse range of device capabilities, its overall growth trajectory remains positive. The substantial market growth projected for the website speed test market highlights the increasing emphasis on digital experience optimization. The geographical distribution shows strong growth across all regions, particularly North America and Europe, owing to the high internet penetration and advanced technological infrastructure in these areas. However, developing economies in Asia Pacific and the Middle East & Africa are demonstrating accelerating adoption rates, driven by rapid digitalization and rising smartphone usage. The competitive landscape is characterized by a mix of established players, such as Ookla and Google (through Google PageSpeed Insights), and emerging technology companies offering innovative solutions. Ongoing competition will likely drive further innovation and price reductions, making website speed testing tools more accessible to a broader range of users and businesses. Continued technological advancements and an ever-increasing focus on providing seamless user experiences will propel the growth of this vital market segment.