This product contains monthly aggregated data for Indian District 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.
This product contains monthly aggregated data for Indian District 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
India
Number of Counties covered
557
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
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.
Supply Chain
The Internet of Things (IoT) is used in supply chain management, providing real-time data and insights by tracking assets and inventory, automatise ware-houses and optimise routes. Any disruptions to local internet infrastructure along the supply chain, can have large adverse effects throughout the supply chain. Our data can help to identify potential weak spots in the digital and geographic network.
Sample Data
Sample dataset provides immediate access to a static version of a 5% random subsample for the year 2023.
Customized Data for other individual countries or regions as well as Internet Service Provider (ISP) level are available onrequest.
Data at higher frequency (daily, 3-hourly, hourly) are also available on 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.
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.
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.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single pricing dimension: Product Access (Units). You buy access to the dataset under a contract, rather than paying by usage or by instance size. There are no separate tiers, add-ons, or size-based options to choose between. The unit count grants your subscription to the district-level internet quality data for India. Pricing scales only with the number of access units you commit to under the contract term.
Top-of-mind questions for buyers
What does the district-level internet quality data actually measure?
You get aggregated internet activity for India's districts, states, and the nation. Two core measures apply: the count of unique active IP addresses, and normalized ping response times (latency) from millions of endpoints. The vendor also supplies pre-built connectivity and latency indices plus anomaly detection flags for each region.
How often is the data updated, and what time period does each reading cover?
Measurements aggregate to hourly and daily intervals at the regional level. Each timestamp marks the start of the measurement window. The vendor takes over 3 billion measurements daily from more than 400 million connected endpoints, then aggregates them for consistency and GDPR compliance.
Do all districts include the anomaly detection flags?
No. A region must meet two rules to receive anomaly flags. It needs at least one time period with 100 unique active IP observations, and at least 14 days of non-zero readings. Regions failing either rule still get IP counts and latency data, but anomaly columns show as blank values.
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