Sold by: KASPR Datahaus
Deployed on AWS
This product contains monthly aggregated data for US county level internet quality indicators including latency, connectivity anomalies and distance to frontier. The monthly aggregates are based on our few-hourly (e.g. 1h, 3h, 6h) adm2 level (e.g. counties, districts) products provide an aggregated measure of subnational ADM2 areas' ICT Infrastructure, via millions of individual internet protocol (IP v4) address observations.
Overview
This product contains monthly aggregated data for US county level internet quality indicators including latency, connectivity anomalies and distance to frontier. The monthly aggregates are based on our few-hourly (e.g. 1h, 3h, 6h) adm2 level (e.g. counties, districts) products provide an aggregated measure of subnational ADM2 areas' ICT Infrastructure, via millions of individual internet protocol (IP v4) address observations.
Metadata
| Description | Value |
|---|---|
| Update Frequency | Monthly, Yearly |
| Geographic Coverage | USA |
| Number of Counties covered | 3,012 |
| Time period coverage | Since FEB 2019 |
| Historical data available | Yes, 5 years |
| Data Set Format | .tsv |
| Raw or scraped data | Raw Data (Aggregated) |
| Key Fields | Country; Province/State; County/District (ADM2); Average Latency and Average Variance in Latency; Number of days in the year with connectivity and latency anomalies; Distance to the latency frontier; |
| Key Words | geospatial, internet, internet quality, latency, stability, |
Use Cases
Location Planning {.unlisted .unnumbered}
Make more accurate location decisions for your critical digital infrastructure (i.e. servers, data centers). Identify districts.counties with high average internet quality, low internet volatility and few connectivity anomalies.
Risk Analysis
Identify areas with high numbers of internet connectivity anomalies, low internet quality or high variability in internet latency.
Location Data Enrichment
Enhance your geo-spatial risk data products by a information about local internet infrastructure quality.
Geospatial Telecommunications Data
Telecommunication and ISP companies can identify new potential markets.
Sample Data
Sample dataset provides immediate access to a static version of a 5% random subsample for the year 2023.
Customized Data for individual countries or regions as well as Internet Service Provider (ISP) level are available per request.
Historical Data & Backtesting
5 year historical data is available for purchase and backtesting. Data collection has been operating consistently and without interruptions since February 2019.
Please contact info@kasprdata.com for further information.
Customization
KASPR Datahaus PTY LTD offers additional services to interested parties where our technology can intensively measure the IP space of a subset of over one hundred metropolitan areas around the globe to provide a representative view of these specific, high IP address concentration, large urban agglomerations.
We welcome inquiries around any aspect of product design that may serve your needs. Please get in touch at info@kasprdata.com .
Further information: https://kasprdata.github.io/kasprdoc/
Variable Defintions
| Variable | Description |
|---|---|
| country_iso_three_char_code | Country's 3-digit ISO code |
| country_iso_name | Country name |
| * adm1_name | Name of the ADM1 unit. ADM1 refers to a country's first, administrative unit at the subnational level (e.g. States in the US, Bundeslaender in Germany, or Provinces in China). |
| * adm1id | Unique alpha-numerical identifier for the ADM1 unit. Combination of country_iso_three_char_code and an integer. |
| ** adm2_name | Name of the ADM2 unit. ADM2 refers to a country's second, administrative unit at the subnational level (e.g. Counties in the US, LGAs in Australia). |
| ** adm2id | Unique alpha-numerical identifier for the ADM2 unit. Combination of adm1_unique_identifier and an integer. |
| year | Year |
| rtt_variance_norm | Average Variance in Latency (ping response time in ms). Higher values indicate more volatility in internet connectivity during that period. |
| rtt_mean_norm | Average Latency (ping response time in ms). Higher values indicate lower average quality in internet connectivity during that period. |
| rtt_mean_norm_adj | Average Latency (ping response time in ms) adjusted to account for monthly infrastructure sampling baseline shifts. See main document for details. |
| connectivity_out_2sd | Number of days in year when connectivity (unique # of active IPs) was 2 standard deviations below the median connectivity. |
| latency_out_3sd | Number of days in year when rtt_mean_norm was 3 standard deviations above the median latency. |
| rtt_d | Absolute difference between rtt_mean_norm and minimum latency in the country (rtt_min). Distance to the latency frontier. Higher values indicate relatively lower quality. |
| rtt_dp | Percentage difference between rtt_mean_norm and minimum latency in the country (rtt_min). Distance to the latency frontier. Higher values indicate relatively lower quality. |
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Dimension | Description | Cost/12 months |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $5,000.00 |
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
USA Monthly County-Level Internet Quality Data - Sample | Last 1 revisions | All future revisions | Not included | Not included | ||
USA Monthly County-Level Internet Quality Data | Last 1 revisions | All future revisions | Not included | Not included |
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