| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| pretty_name: "ProdIPData — Monthly IPv4 IP Geolocation Dataset" |
| tags: |
| - ip-geolocation |
| - ipv4 |
| - ip-address |
| - asn |
| - rir |
| - whois |
| - networking |
| - cybersecurity |
| - osint |
| - open-data |
| size_categories: |
| - 10M<n<100M |
| --- |
| |
|
|
| # ProdIPData — Monthly IPv4 IP Geolocation Dataset |
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| A free, monthly dataset of the **routed IPv4 address space** at **`/24` granularity** — one row per `/24` prefix — covering geolocation, network/ASN, ownership, registry and risk attributes. Maintained by **ProdIPData** and mirrored from **https://prodipdata.com**. Licensed **CC BY 4.0** (free to use, including commercially, with attribution). |
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|
| ## What's in each row (`/24` prefix) |
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| | Group | Fields | |
| | --- | --- | |
| | **Geolocation** | `CountryCode`, `ContinentCode`, `IsInEU`, `RegionName` (ISO 3166-2), `CityName`, `Latitude`, `Longitude`, `AccuracyRadius`, `TimeZone` | |
| | **Network / ASN** | `ASNID`, `ASNName`, `ASNOrg`, `ASNDomain`, `ASNType` (ISP / hosting / business / education / government) | |
| | **Ownership (WHOIS)** | `Company`, `CompanyCountry`, `WhoisNetName`, `AbuseContact` | |
| | **Registry (RIR)** | `RIR` (ARIN/RIPE/APNIC/LACNIC/AFRINIC), `RIRAllocationDate`, `RIRStatus` | |
| | **Risk signals** | `HasC2`, `C2Malwares`, `IsTor`, `Anonymization`, bogon flags | |
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| Key column: `IP24Prefix` (e.g. `8.8.8.0/24`). |
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|
| ## Coverage |
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| - **14M+** routed `/24` prefixes · **240+** countries · **~3.7B** IPv4 addresses represented |
| - Coordinates spatially validated against public-domain **Natural Earth** boundaries (~99.97% country-level match) |
| - Updated **monthly**; each release is tagged by month (`YYYY-MM`) |
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|
|
| ## Load it |
|
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|
|
| ```python |
| # pandas — read straight from the Hub |
| import pandas as pd |
| df = pd.read_parquet( |
| "hf://datasets/ProdIPData/ip-locations/prefix_attributes_2026-07_iso-ALL.parquet" |
| ) |
| |
| |
| # duckdb (query without loading it all into memory) |
| import duckdb |
| duckdb.sql(""" |
| SELECT CountryCode, COUNT(*) AS prefixes |
| FROM 'prefix_attributes_2026-07_iso-ALL.parquet' |
| GROUP BY 1 ORDER BY 2 DESC LIMIT 10 |
| """).show() |
| |
| |
| # Hugging Face datasets |
| from datasets import load_dataset |
| ds = load_dataset("ProdIPData/ip-locations") |
| ``` |
|
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|
|
| ## Formats |
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|
| Also published as **CSV** and **MMDB** (MaxMind DB compatible format) at https://prodipdata.com/downloads.html. The site additionally offers an in-browser **Prefix Lookup** (resolves any IP/•`/24` client-side, nothing sent to a server) and density / region maps. |
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|
|
| ## Limitations |
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| - Geolocation is **derived** from upstream sources including MaxMind and the RIRs, merged monthly — it is a **snapshot, not real-time**, and only as accurate as those sources. |
| - **Low-confidence blocks fall back to country-level centroids.** For example `8.8.8.8` resolves to the US geographic centre, not Mountain View. The `AccuracyRadius` field (in km) now makes this precision **explicit**, so country-level fallbacks are visible rather than implied. |
| - `/24` granularity: attributes describe the block, not individual hosts. |
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|
|
| ## Attribution |
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| Please credit **ProdIPData (prodipdata.com)** under **CC BY 4.0**. Country/region boundaries © **Natural Earth** (public domain). |
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| MaxMind and GeoIP are registered trademarks of MaxMind, Inc. ProdIPData is not affiliated with or endorsed by MaxMind. |
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|
| - Website: https://prodipdata.com |
| - Downloads: https://prodipdata.com/downloads.html |
| - Methodology: https://prodipdata.com/methodology.html |
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