Broadband Internet Speed Test Logs
This dataset contains detailed logs of broadband internet speed tests performed across various regions, including connection type, ISP, geolocation, and network performance metrics such as download/upload speed, latency, and packet loss. It is ideal for benchmarking network infrastructure, identifying service gaps, and supporting consumer advocacy and policy planning.
Sample rows
preview · 8 of 200 rows · all 18 columns| test_idstring | device_typestring | latency_msfloat | test_successfulboolean | countrystring | test_datetimedatetime | regionstring | postal_codestring | latitudefloat | longitudefloat | connection_typestring | isp_namestring | download_speed_mbpsfloat | upload_speed_mbpsfloat | packet_loss_percentfloat | test_server_locationstring | test_server_countrystring | error_codestring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2K9J3S8Q | desktop | 4.2 | true | USA | 2021-03-13T07:24:22Z | Downtown Manhattan | 10002 | 40.7178 | -73.9903 | fiber | Verizon Fios | 855.3 | 882.5 | 0.1 | New York City | USA | blank |
| 6RZNU3JW | laptop | 3.7 | true | France | 2023-12-04T22:12:45Z | Central Paris | 75001 | 48.8647 | 2.349 | fiber | Orange | 932.7 | 910.9 | 0 | Paris | France | blank |
| 8WPDQKX2 | desktop | 14.1 | true | Canada | 2022-07-18T15:31:32Z | Suburban Toronto | M2N 6N5 | 43.7692 | -79.4148 | cable | Rogers | 425.6 | 33.2 | 0.3 | Toronto | Canada | blank |
| GJ8N2V5L | mobile | 76.2 | true | USA | 2024-01-21T02:45:10Z | Rural Texas | 75801 | 31.7235 | -95.6342 | wireless | T-Mobile Home Internet | 27.4 | 8.1 | 1.2 | Dallas | USA | blank |
| X9KD3P6V | laptop | 49.8 | true | India | 2023-05-30T13:12:04Z | Delhi NCR | 110011 | 28.6448 | 77.2167 | dsl | Airtel Broadband | 16.2 | 2.7 | 2.1 | Delhi | India | blank |
| RQ52JH6L | tablet | 2.1 | true | Singapore | 2024-02-04T09:50:19Z | Central Singapore | 238801 | 1.3039 | 103.8318 | fiber | SingTel | 973.8 | 988.6 | 0.1 | Singapore | Singapore | blank |
| 4XJQ9UHV | other | 1083.3 | true | USA | 2022-06-16T21:18:57Z | Remote Alaska | 99762 | 64.4986 | -165.4064 | satellite | HughesNet | 14.2 | 2.1 | 14.8 | Anchorage | USA | blank |
| VWM5Y8QJ | laptop | 11.6 | true | UAE | 2023-09-04T12:47:34Z | Dubai Marina | 00000 | 25.0806 | 55.1417 | cable | Etisalat | 573.6 | 29.8 | 0.2 | Dubai | UAE | blank |
| KBNG2VZ5 | mobile | 132.1 | true | Norway | 2021-10-22T17:07:19Z | Nordland | 8006 | 67.2806 | 14.4047 | wireless | Telenor | 19.8 | 5.2 | 2.9 | Oslo | Norway | blank |
| 9QJZHV3P | desktop | 5.6 | true | UK | 2023-04-11T19:13:56Z | Central London | EC1A 1BB | 51.5202 | -0.0978 | fiber | BT | 892.4 | 860.6 | 0 | London | UK | blank |
| ZP6QJ2BN | laptop | 37.4 | true | Australia | 2023-07-27T15:38:42Z | Suburban Adelaide | 5000 | -34.9285 | 138.6007 | dsl | Telstra | 21.7 | 4.6 | 1.1 | Adelaide | Australia | blank |
| W4K92JGH | other | 1342.9 | false | Mexico | 2022-02-21T09:55:41Z | Remote Chihuahua | 31000 | 28.6353 | -106.0889 | satellite | Starlink | 6.7 | 1.3 | 52.6 | Mexico City | Mexico | TIMEOUT |
| 3QJZKH8P | desktop | 52.3 | true | Brazil | 2021-11-14T18:02:00Z | São Paulo Central | 01000-000 | -23.5505 | -46.6333 | dsl | Vivo | 13.5 | 1.6 | 2.7 | São Paulo | Brazil | blank |
| JQW9YJ2K | mobile | 77.4 | true | Nigeria | 2023-10-19T16:41:03Z | Lagos Island | 100001 | 6.4541 | 3.4246 | wireless | MTN | 45.7 | 11.9 | 3.3 | Lagos | Nigeria | blank |
| P9JXQ8WK | other | 1782.5 | false | Australia | 2022-09-12T08:37:22Z | Remote Queensland | 4801 | -21.1411 | 149.1861 | satellite | SkyMesh | 9.5 | 0.8 | 65.3 | Brisbane | Australia | NO_SIGNAL |
| QZ27KJ9W | desktop | 1.6 | true | Japan | 2024-03-02T11:22:40Z | Downtown Tokyo | 100-0001 | 35.6828 | 139.7595 | fiber | NTT East | 958.1 | 953.4 | 0 | Tokyo | Japan | blank |
| H2V8KQJ9 | laptop | 13.7 | true | Germany | 2023-01-14T14:27:58Z | Central Berlin | 10115 | 52.5321 | 13.3849 | cable | Vodafone | 604.2 | 32.9 | 0.4 | Berlin | Germany | blank |
| KQJ3V6BN | mobile | 105.9 | true | South Africa | 2022-04-25T10:14:13Z | Rural Gauteng | 2000 | -26.2708 | 28.1123 | wireless | Rain | 29.2 | 7.1 | 4.2 | Johannesburg | South Africa | blank |
| JQ8N5K2V | desktop | 46.2 | true | UAE | 2022-01-07T05:12:25Z | Suburban Dubai | 00000 | 25.205 | 55.2718 | dsl | du | 26.3 | 5.5 | 0.9 | Dubai | UAE | blank |
| M8V2KJQ3 | mobile | 85.7 | true | Argentina | 2023-03-23T20:34:53Z | Buenos Aires Centro | C1000 | -34.6037 | -58.3816 | wireless | Personal | 41.3 | 15.6 | 1.8 | Buenos Aires | Argentina | blank |
What the 200 rows show
from the 200-row sampleOther (device type) stands out: mean latency_
- 83%test_
successful = true - 40.3median latency_
ms - 6connection types
- 10error codes
- 33test server countries
- 41.2median download_
speed_ mbps
Median 40.3, from 1.4 to 2,000.
- string 10
- float 6
- datetime 1
- boolean 1
Columns
18 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 10 columns | |||
test_id | string | Unique identifier for each speed test log entryunique | 2K9J3S8Q |
region | string | Geographical region where the test was performed (e.g., city, county, or administrative area) | Downtown Manhattan |
country | string | Country where the test was performed | USA |
postal_code | string | Postal code of the test locationoptional | 10002 |
connection_type | string | Type of broadband connection used for the test (e.g., fiber, DSL, cable, wireless)6 values | fiber |
isp_name | string | Name of the Internet Service Provider | Verizon Fios |
test_server_location | string | Location (city or region) of the server used for the speed testoptional | New York City |
test_server_country | string | Country of the server used for the speed testoptional | USA |
device_type | string | Type of device used for the speed test (e.g., desktop, laptop, mobile, tablet)desktop · laptop · mobile · tablet · other · optional | desktop |
error_code | string | Error code if the test failed or was incomplete10 codes · optional | TIMEOUT |
| Numbers 6 columns | |||
latitude | float | Latitude coordinate of the test location-90 to 90 · optional | 40.7178 |
longitude | float | Longitude coordinate of the test location-180 to 180 · optional | -73.9903 |
download_speed_mbps | float | Measured download speed in megabits per second (Mbps)0 or more | 855.3 |
upload_speed_mbps | float | Measured upload speed in megabits per second (Mbps)0 or more | 882.5 |
latency_ms | float | Measured network latency in milliseconds (ms)0 or more | 4.2 |
packet_loss_percent | float | Measured packet loss during the test, as a percentage0 to 100 · optional | 0.1 |
| Dates and times 1 column | |||
test_datetime | datetime | Date and time when the speed test was conducted (UTC) | 2021-03-13T07:24:22Z |
| True or false 1 column | |||
test_successful | boolean | Indicates whether the speed test completed successfully | true |
Use it for
A telecommunications dashboard
The test_
successful rate, latency_ ms by device_ type and a breakdown of country. Excel, Power BI or Tableau. Why do the 36 other rows have a mean latency_
ms of 1,596? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Tests2002K9J3S8Q4.2desktop6RZNU3JW3.7laptopW4K92JGH1342.9other
A software demo
Believable tests with test_
datetime, region and country to fill a screen in front of a buyer.
blueprint · broadband-internet-speed-test-logs
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 18 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
- Each log includes speed (Mbps), region, device
- Zero-speed tests flagged
- Speed below 10 Mbps highlighted
- Duplicate tests removed
- Device types standardized
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- broadband-internet-speed-test-logs