Speedtest by Ookla Global Fixed and Mobile Network Performance Maps

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/speedtest-global-performance-dataset")

fs.listdir("s3://ookla-open-data")

Description:

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.

Contact:

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.

Update Frequency:

Quarterly

Managed By:

https://www.ookla.com/ookla-for-good

Resources:

1. resource:
   • Description: Parquet and Shapefiles
   • ARN: arn:aws:s3:::ookla-open-data
   • Region: us-west-2
   • Type: S3 Bucket

Tags:

analytics, aws-pds, broadband, cities, civic, disaster response, geospatial, global, government spending, infrastructure, internet, mapping, parquet, network traffic, regulatory, telecommunications, tiles

Tutorials:

1. tutorial:

   • Title: New Year, Great Data: The Best Ookla Open Data Projects We’ve Seen So Far
   • URL: https://www.speedtest.net/insights/blog/best-ookla-open-data-projects-2021/
   • AuthorName: Katie Jolly

2. tutorial:

   • Title: Bootstrapping Dask on 1000 cores with AWS Fargate
   • URL: https://towardsdatascience.com/bootstrapping-dask-on-1000-cores-with-aws-fargate-1e1b7fd1a32c
   • AuthorName: Imri Paran
   • Services: Fargate, EKS

3. tutorial:

   • Title: How to deliver performant GIS desktop applications with Amazon AppStream 2.0
   • URL: https://aws.amazon.com/blogs/publicsector/how-to-deliver-performant-gis-desktop-applications-amazon-appstream-2-0/
   • AuthorName: Ethan Fahy and Spencer DeBrosse
   • Services: AppStream, RDS