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. |