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| Home > services > Internet_Connectivity (FeatureServer) > All Layers and Tables | | API Reference |
Raw data
Raw data are monthly CSV files, which are aggregated 12 months at a time. We use Ookla’s suggested filters for quality assurance. Note: filtering excludes mobile tests, which are defined as browser-based using a cellular connection.
Point aggregation
A unique ID field is created (i.e., “Agg_ID”) by combining the Longitude, Latitude, and User ID fields. The mean download and upload speeds (per user) are found by aggregating to this unique ID. A second unique ID field is created (i.e., “Agg_2ndID”) by combining Longitude and Latitude. Aggregating again to this second unique ID results in the following statistics per coordinate point: mean, median, standard deviation, count, min, max, 10th percentile, and 90th percentile.
Block aggregation
Ookla points are spatially joined to Census blocks. The mean download and upload speeds (per user) are aggregated to Census blocks using the following statistics: mean, median, standard deviation, count, min, max, 10th percentile, and 90th percentile.
Based on ASU analysis of Ookla® Speedtest Intelligence® data for November 2022 through October 2023. Ookla trademarks used under license and reprinted with permission.
Raw data
Raw data are monthly CSV files, which are aggregated 12 months at a time. We use Ookla’s suggested filters for quality assurance. Note: filtering excludes mobile tests, which are defined as browser-based using a cellular connection.
Point aggregation
A unique ID field is created (i.e., “Agg_ID”) by combining the Longitude, Latitude, and User ID fields. The mean download and upload speeds (per user) are found by aggregating to this unique ID. A second unique ID field is created (i.e., “Agg_2ndID”) by combining Longitude and Latitude. Aggregating again to this second unique ID results in the following statistics per coordinate point: mean, median, standard deviation, count, min, max, 10th percentile, and 90th percentile.
Block aggregation
Ookla points are spatially joined to Census blocks. The mean download and upload speeds (per user) are aggregated to Census blocks using the following statistics: mean, median, standard deviation, count, min, max, 10th percentile, and 90th percentile.
Based on ASU analysis of Ookla® Speedtest Intelligence® data for November 2022 through October 2023. Ookla trademarks used under license and reprinted with permission.
Raw data
Raw data are monthly CSV files, which are aggregated 12 months at a time. We use Ookla’s suggested filters for quality assurance. Note: filtering excludes mobile tests, which are defined as browser-based using a cellular connection.
Point aggregation
A unique ID field is created (i.e., “Agg_ID”) by combining the Longitude, Latitude, and User ID fields. The mean download and upload speeds (per user) are found by aggregating to this unique ID. A second unique ID field is created (i.e., “Agg_2ndID”) by combining Longitude and Latitude. Aggregating again to this second unique ID results in the following statistics per coordinate point: mean, median, standard deviation, count, min, max, 10th percentile, and 90th percentile.
Block aggregation
Ookla points are spatially joined to Census blocks. The mean download and upload speeds (per user) are aggregated to Census blocks using the following statistics: mean, median, standard deviation, count, min, max, 10th percentile, and 90th percentile.
Based on ASU analysis of Ookla® Speedtest Intelligence® data for November 2022 through October 2023. Ookla trademarks used under license and reprinted with permission.
Raw data
Raw data are monthly CSV files, which are aggregated 12 months at a time. We use Ookla’s suggested filters for quality assurance. Note: filtering excludes mobile tests, which are defined as browser-based using a cellular connection.
Point aggregation
A unique ID field is created (i.e., “Agg_ID”) by combining the Longitude, Latitude, and User ID fields. The mean download and upload speeds (per user) are found by aggregating to this unique ID. A second unique ID field is created (i.e., “Agg_2ndID”) by combining Longitude and Latitude. Aggregating again to this second unique ID results in the following statistics per coordinate point: mean, median, standard deviation, count, min, max, 10th percentile, and 90th percentile.
Block aggregation
Ookla points are spatially joined to Census blocks. The mean download and upload speeds (per user) are aggregated to Census blocks using the following statistics: mean, median, standard deviation, count, min, max, 10th percentile, and 90th percentile.
Based on ASU analysis of Ookla® Speedtest Intelligence® data for November 2022 through October 2023. Ookla trademarks used under license and reprinted with permission.
Raw data
Raw data are monthly CSV files, which are aggregated 12 months at a time. We use Ookla’s suggested filters for quality assurance. Note: filtering excludes mobile tests, which are defined as browser-based using a cellular connection.
Point aggregation
A unique ID field is created (i.e., “Agg_ID”) by combining the Longitude, Latitude, and User ID fields. The mean download and upload speeds (per user) are found by aggregating to this unique ID. A second unique ID field is created (i.e., “Agg_2ndID”) by combining Longitude and Latitude. Aggregating again to this second unique ID results in the following statistics per coordinate point: mean, median, standard deviation, count, min, max, 10th percentile, and 90th percentile.
Block aggregation
Ookla points are spatially joined to Census blocks. The mean download and upload speeds (per user) are aggregated to Census blocks using the following statistics: mean, median, standard deviation, count, min, max, 10th percentile, and 90th percentile.
Based on ASU analysis of Ookla® Speedtest Intelligence® data for November 2022 through October 2023. Ookla trademarks used under license and reprinted with permission.
The following description is provided by the FCC: This map displays where Internet services are available across the United States, as reported by Internet Service Providers (ISPs) to the FCC. The map will be updated continuously to improve its accuracy through a combination of FCC verification efforts, new data from Internet providers, updates to the location data, and—importantly—information from the public. ISPs offering broadband Internet to fixed locations (such as homes and small businesses) must report where they offer service on a location-by-location basis - the same location points you see on the map - which come from the Fabric.
The following description is provided by the FCC: This map displays where Internet services are available across the United States, as reported by Internet Service Providers (ISPs) to the FCC. The map will be updated continuously to improve its accuracy through a combination of FCC verification efforts, new data from Internet providers, updates to the location data, and—importantly—information from the public. ISPs offering broadband Internet to fixed locations (such as homes and small businesses) must report where they offer service on a location-by-location basis - the same location points you see on the map - which come from the Fabric.
The following description is provided by the FCC: This map displays where Internet services are available across the United States, as reported by Internet Service Providers (ISPs) to the FCC. The map will be updated continuously to improve its accuracy through a combination of FCC verification efforts, new data from Internet providers, updates to the location data, and—importantly—information from the public. ISPs offering broadband Internet to fixed locations (such as homes and small businesses) must report where they offer service on a location-by-location basis - the same location points you see on the map - which come from the Fabric.
The following description is provided by the FCC: Mobile providers generate the 3G, 4G LTE, and 5G-NR coverage areas shown on the map using propagation modeling, where the models include certain common settings for consistency. The coverage areas are meant to represent the areas where a user should be able to establish a mobile connection, either outdoors or moving in a vehicle, and achieve certain upload and download speeds. Please note that the map does not include information on the availability of mobile wireless broadband service while indoors. Moreover, because the coverage map is based on propagation modeling, a user’s actual, on-the-ground experience may vary due to factors such as the end-user device used to connect to the network, cell site capacity, and terrain. The coverage maps on mobile wireless service providers’ websites may be based on different parameters and assumptions, such as service availability provided through roaming agreements, and therefore may differ from the information shown here.
The following description is provided by the FCC: Mobile providers generate the 3G, 4G LTE, and 5G-NR coverage areas shown on the map using propagation modeling, where the models include certain common settings for consistency. The coverage areas are meant to represent the areas where a user should be able to establish a mobile connection, either outdoors or moving in a vehicle, and achieve certain upload and download speeds. Please note that the map does not include information on the availability of mobile wireless broadband service while indoors. Moreover, because the coverage map is based on propagation modeling, a user’s actual, on-the-ground experience may vary due to factors such as the end-user device used to connect to the network, cell site capacity, and terrain. The coverage maps on mobile wireless service providers’ websites may be based on different parameters and assumptions, such as service availability provided through roaming agreements, and therefore may differ from the information shown here.
The following description is provided by the FCC: Mobile providers generate the 3G, 4G LTE, and 5G-NR coverage areas shown on the map using propagation modeling, where the models include certain common settings for consistency. The coverage areas are meant to represent the areas where a user should be able to establish a mobile connection, either outdoors or moving in a vehicle, and achieve certain upload and download speeds. Please note that the map does not include information on the availability of mobile wireless broadband service while indoors. Moreover, because the coverage map is based on propagation modeling, a user’s actual, on-the-ground experience may vary due to factors such as the end-user device used to connect to the network, cell site capacity, and terrain. The coverage maps on mobile wireless service providers’ websites may be based on different parameters and assumptions, such as service availability provided through roaming agreements, and therefore may differ from the information shown here.