Speed test datasets
SpeedChecker collects extensive amounts of speed test measurements world wide. The tests are collected according to our data collection and measurement methodology. We provide this data in a raw format specified below as well as integrated into our Crowdsourcing system for visual analysis.
Sample speed test dataset map visualization
Speed test data format
|ActiveConnection||Radio Network Type used during speed test|
|TestTime||Precise time of the test start|
|TestLength||Total time duration of the test|
|ServerID||Speedtest Server Identity|
|Ping||Best (minimum) Ping Time observed during the test|
|Jitter||Jitter measured during speed-test|
|DownloadSpeed||Average Download Speed|
|UploadSpeed||Average Upload Speed|
|DownloadTransferredMb||Amount of traffic transferred in downling direction|
|UploadTransferredMb||Amount of traffic transferred in UL direction|
|CustomServerDownloadURL||Custom server URL used for download|
|CustomServerUploadURL||Custom server URL used for upload|
|DownloadSamples||List of measurement samples taken during the download test|
|UploadSamples||List of measurement samples taken during the upload test|
|DownloadThreadsUsed||Average number DL of connection threads used during speed-test|
|DownloadThreadsUsedSamples||Array showing how many DL connection threads were used for each speed-test sample|
|UploadThreadsUsed||Average number UL of connection threads used during speed-test|
|UploadThreadsUsedSamples||Array showing how many UL connection threads were used for each speed-test sample|
|Retry||Indicates number of retries when data is sent|
Data collection methodology
Our data is collected from end user devices running Android and iOS systems. All measurements are executed towards a CDN that has a large geographical footprint and hosts a significant part of the content that is being accessed by the users. This ensures our results are a good approximation of the user’s actual quality of experience.
All measurements must contain accurate location information using GPS or wi-fi geolocation methods. Measurements are considered only from the apps that have been approved by SpeedChecker. Submitted measurements are checked to see if they are within expected ranges and additional security precautions are implemented to ensure measurement data is not being manipulated
The data collection process aims to deliver a single measurement sample from every device in our crowdsourcing system device pool and we strive to remove all duplicates. Due to privacy settings on some users phones we cannot reliably detect unique devices therefore some devices have contributed to more than 1 measurement into this dataset.
The methodology is based on the concept of the [ITU-T Q.3960 (2016)]
"Framework of Internet related performance measurements" and “Supplement 71 to ITU-T Q-series Recommendations”.
This test methodology aims at delivering an accurate measurement of the maximum bandwidth available over a given internet connection. This is achieved by transferring multiple parallel data streams over separate TCP connections within a predefined amount of time. The transferred data consists of randomly generated data with high entropy.
|n||Number of parallel threads||#||1 ≤ n ≤ 10||3 - 10|
|Tp||Duration of pre-load||s||0 ≤ Tp ≤ 5||2s|
|Td||Duration of the downlink test||s||5 ≤ Td ≤ 15||10s|
|Tu||Duration of the uplink subtest||s||5 ≤ Tu ≤ 15||10s|
|P||Number of 'pings' during delay subtest||#||5 ≤ p ≤ 20||p = 10|