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.

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.

As of June 2024, Qatar had the fastest average mobile internet connection worldwide, nearly 335 Mbps. The United Arab Emirates (UAE) followed, registering average median speed above 323 Mbps. Fixed-connection speeds around the world When it comes to fixed broadband connections, Singapore tops the list of countries by average connection speed. Internet users in Singapore achieve an average fixed broadband connection speed of 242.01 Mbps, slightly faster than the 222.49 Mbps achieved in Chile, the second-placed country on the speed rankings. 5G and 6G – the future of mobile broadband In countries where it is in use, 5G is already bringing faster mobile internet connection speeds than ever before. In Saudi Arabia for example, the average 4G connection speed sits at 28.9 Mbps, and this speed jumps to 414.2 Mbps on a 5G connection. Now that 5G is commercially available, researchers have already turned their attention to 6G. Operating at a higher spectrum band, 6G will allow connections several times faster than 5G. User experienced data rates of 5G sit at 100 Mbps, and this speed is expected to climb to 1,000 Mbps on 6G connections. 6G is expected to not only provide faster speeds, but also enable more devices to connect to a network without causing congestion as it has a connection density ten times greater than that of 5G.

This dataset provides values for INTERNET SPEED reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Countries with the highest speeds demonstrate examples of efficient infrastructure and investment in digital technologies, providing their citizens with fast and stable internet. In contrast, countries with low speeds face numerous challenges, especially economic ones.

As of March 2025, the median download speeds of mobile and fixed broadband services worldwide were within a similar range, at 90.64 and 98.31 Mbps respectively. However, the median upload speed for fixed broadband was significantly higher than that of mobile, with fixed services more suitable for data-intensive online activities such as multiplayer gaming.

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.

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 statistic presents the average download speed of broadband internet in Latin American countries from July 2023 to June 2024 measured in Megabits per second (Mbps). In that period of time, Uruguay presented the highest broadband internet speed in Latin America, with an average download speed of over 111 Mbps.

Within the Asia Pacific region, South Korea had the highest average IPv4 internet connection speed at **** 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 ***** 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 **% and **%. 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 ** Mbps for downloads and * Mbps for uploads. In the world of internet, connection speeds above ** Mbps enable swift web surfing, HD content streaming as well as fast downloads. 

The average internet download speed in Sub-Saharan Africa was highest in Rwanda, South Africa, and Burkina Faso in 2026. These countries registered internet speeds reaching ***** megabits per second (Mbps), ***** Mbps, and ***** Mbps, respectively. On average, the download speed in Sub-Saharan Africa was measured at ***** Mbps (excluding Mayotte and Réunion). For countries in the region, it took around *** hours to download a 5G movie.

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.

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

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/

As of November 2024, the median download speed of fixed internet in Singapore was about ****** Mbps, the highest in the Asia-Pacific region. Hong Kong followed with a fixed internet median download speed of approximately ****** Mbps.

This is an Australian extract of Speedtest Open data available at Amazon WS (link below - opendata.aws).AWS data licence is "CC BY-NC-SA 4.0", so use of this data must be:- non-commercial (NC)- reuse must be share-alike (SA)(add same licence).This restricts the standard CC-BY Figshare licence.A world speedtest open data was dowloaded (>400Mb, 7M lines of data). An extract of Australia's location (lat, long) revealed 88,000 lines of data (attached as csv).A Jupyter notebook of extract process is attached.A link to Twitter thread of outputs provided.A link to Data tutorial provided (GitHub), including Jupyter Notebook to analyse World Speedtest data, selecting one US State.Data Shows: (Q2)- 3.1M speedtests- 762,000 devices- 88,000 grid locations (600m * 600m), summarised as a point- average speed 33.7Mbps (down), 12.4M (up)- Max speed 724Mbps- data is for 600m * 600m grids, showing average speed up/down, number of tests, and number of users (IP). Added centroid, and now lat/long.See tweet of image of centroids also attached.Versions:v15/16. Add Hist comparing Q1-21 vs Q2-20. Inc ipynb (incHistQ121, v.1.3-Q121) to calc.v14 Add AUS Speedtest Q1 2021 geojson.(79k lines avg d/l 45.4Mbps)v13 - Added three colour MELB map (less than 20Mbps, over 90Mbps, 20-90Mbps)v12 - Added AUS - Syd - Mel Line Chart Q320.v11 - Add line chart compare Q2, Q3, Q4 plus Melb - result virtually indistinguishable. Add line chart to compare Syd - Melb Q3. Also virtually indistinguishable. Add HIST compare Syd - Melb Q3. Add new Jupyter with graph calcs (nbn-AUS-v1.3). Some ERRATA document in Notebook. Issue with resorting table, and graphing only part of table. Not an issue if all lines of table graphed.v10 - Load AURIN sample pics. Speedtest data loaded to AURIN geo-analytic platform; requires edu.au login.v9 - Add comparative Q2, Q3, Q4 Hist pic.v8 - Added Q4 data geojson. Add Q3, Q4 Hist pic.v7 - Rename to include Q2, Q3 in Title.v6 - Add Q3 20 data. Rename geojson AUS data as Q2. Add comparative Histogram. Calc in International.ipynb.v5 - add Jupyter Notebook inc Histograms. Hist is count of geo-locations avg download speed (unweighted by tests).v4 - added Melb choropleth (png 50Mpix) inc legend. (To do - add Melb.geojson). Posted Link to AURIN description of Speedtest data.v3 - Add super fast data (>100Mbps) less than 1% of data - 697 lines. Includes png of superfast.plot(). Link below to Google Maps version of superfast data points. Also Google map of first 100 data points - sample data. Geojson format for loading into GeoPandas, per Jupyter Notebook. New version of Jupyter Notebook, v.1.1.v2 - add centroids image.v1 - initial data load.** Future Work- combine Speedtest data with NBN Technology by location data (national map.gov.au); https://www.data.gov.au/dataset/national-broadband-network-connections-by-technology-type- combine Speedtest data with SEIFA data - socioeconomic categories - to discuss with AURIN.- Further international comparisons- discussed collaboration with Assoc Prof Tooran Alizadeh, USyd.

This statistic shows the average connection speeds in Europe in 2017, broken down by country (in Mbps). The top three connection speeds were found in Norway, Sweden, and Switzerland. The slowest average connection speed was found in Cyprus.

As of November 2024, the median download speed of mobile internet in South Korea was about ****** Mbps. Comparatively, the median download speed of mobile internet in Pakistan was approximately ***** Mbps.

Internet service providers have enjoyed growth over the current period. Consumers increasingly demanding faster internet speed in developed economies have boosted ISPs' performance amid sluggish subscriber growth. While rising mobile data subscriptions have constrained growth for ISPs in some developing regions, fixed broadband expansion in developing countries like China and India has bolstered growth. The emergence of powerful personal and business internet applications has transformed how businesses and consumers operate and has also presented opportunities for ISPs to offer additional high-margin services, benefitting profit. Overall, industry-wide revenue has been increasing at a CAGR of 6.5% over the past five years and is expected to total $1.7 trillion in 2024, when revenue will climb by an estimated 2.1%. Following the outbreak of COVID-19, ISPs enjoyed a surge in growth in the residential market as work and school shifted to remote, increasing customers' need for faster Internet with greater bandwidth. The falling need for services by businesses and academic institutions offset gains in the residential market and led to overall declines in 2020. Over the outlook period, ISPs will continue to enjoy growth. Climbing average cost per user will spur growth in developed economies as broadband subscription growth slows. While headwinds dissuade ISPs from investing in privatized fiber-to-the-source services in developing regions, consumers growing attraction to faster internet speeds will induce ISPs to make these investments, particularly in Southeast and Central Asia, where government investment is spurring infrastructure growth. Industry revenue is forecast to increase at a CAGR of 2.2% through the end of 2029 to total $1.9 trillion.

Senegal SN: Fixed Broadband Internet Subscribers: per 100 People data was reported at 0.705 Ratio in 2017. This records an increase from the previous number of 0.638 Ratio for 2016. Senegal SN: Fixed Broadband Internet Subscribers: per 100 People data is updated yearly, averaging 0.538 Ratio from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 0.756 Ratio in 2013 and a record low of 0.012 Ratio in 2002. Senegal SN: Fixed Broadband Internet Subscribers: per 100 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Senegal – Table SN.World Bank: Telecommunication. Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.; ; International Telecommunication Union, World Telecommunication/ICT Development Report and database.; Weighted average; Please cite the International Telecommunication Union for third-party use of these data.