Datasets:
Rebrand dataset card: GeoIP Locations -> ProdIPData, new domain prodipdata.com
Browse files
README.md
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license: cc-by-4.0
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language:
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- en
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pretty_name: "
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tags:
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- geoip
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- ip-geolocation
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- ipv4
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- ip-address
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- 10M<n<100M
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---
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# GeoIP Locations — Monthly IPv4 GeoIP Dataset
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## What's in each row (`/24` prefix)
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| Group | Fields |
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| --- | --- |
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| **Geolocation** | `CountryCode`, `ContinentCode`, `IsInEU`, `RegionName` (ISO 3166-2), `CityName`, `Latitude`, `Longitude`, `AccuracyRadius`, `TimeZone` |
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| **Registry (RIR)** | `RIR` (ARIN/RIPE/APNIC/LACNIC/AFRINIC), `RIRAllocationDate`, `RIRStatus` |
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| **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
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- Coordinates spatially validated against public-domain **Natural Earth** boundaries (~99.97% country-level match)
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- Updated **monthly**; each release is tagged by month (`YYYY-MM`)
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## Load it
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```python
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# pandas — read straight from the Hub
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import pandas as pd
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df = pd.read_parquet(
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"hf://datasets/ProdIPData/
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)
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# duckdb (query without loading it all into memory)
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import duckdb
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duckdb.sql("""
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GROUP BY 1 ORDER BY 2 DESC LIMIT 10
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""").show()
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# Hugging Face datasets
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from datasets import load_dataset
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ds = load_dataset("ProdIPData/
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```
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## Formats
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## Limitations
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- **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.
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- `/24` granularity: attributes describe the block, not individual hosts.
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## Attribution
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Please credit **ProdIPData / GeoIP Locations (geoiplocations.com)** under **CC BY 4.0**. Country/region boundaries © **Natural Earth** (public domain).
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license: cc-by-4.0
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language:
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- en
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pretty_name: "ProdIPData — Monthly IPv4 IP Geolocation Dataset"
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tags:
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- ip-geolocation
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- ipv4
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- ip-address
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- 10M<n<100M
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---
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# 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 |
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| --- | --- |
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| **Geolocation** | `CountryCode`, `ContinentCode`, `IsInEU`, `RegionName` (ISO 3166-2), `CityName`, `Latitude`, `Longitude`, `AccuracyRadius`, `TimeZone` |
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| **Registry (RIR)** | `RIR` (ARIN/RIPE/APNIC/LACNIC/AFRINIC), `RIRAllocationDate`, `RIRStatus` |
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| **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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+
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- **14M+** routed `/24` prefixes · **240+** countries · **~3.7B** IPv4 addresses represented
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- Coordinates spatially validated against public-domain **Natural Earth** boundaries (~99.97% country-level match)
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- Updated **monthly**; each release is tagged by month (`YYYY-MM`)
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+
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## Load it
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```python
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# pandas — read straight from the Hub
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import pandas as pd
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df = pd.read_parquet(
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"hf://datasets/ProdIPData/ip-locations/prefix_attributes_2026-07_iso-ALL.parquet"
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)
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# duckdb (query without loading it all into memory)
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import duckdb
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duckdb.sql("""
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GROUP BY 1 ORDER BY 2 DESC LIMIT 10
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""").show()
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# Hugging Face datasets
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from datasets import load_dataset
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ds = load_dataset("ProdIPData/ip-locations")
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```
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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.
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- **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.
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- `/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
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- Downloads: https://prodipdata.com/downloads.html
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- Methodology: https://prodipdata.com/methodology.html
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