README.md

---
license: cc-by-4.0
language:
  - en
pretty_name: "ProdIPData — Monthly IPv4 Geolocation Dataset"
tags:
  - ip-geolocation
  - ipv4
  - ip-address
  - asn
  - rir
  - whois
  - networking
  - cybersecurity
  - osint
  - open-data
size_categories:
  - 10M<n<100M
---

# ProdIPData — Monthly IPv4 Geolocation Dataset

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).

**Current release: `2026-09`**

## What's in each row (`/24` prefix)

| 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 |

Key column: `IP24Prefix` (e.g. `8.8.8.0/24`).

## Coverage

- **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`) and kept, so the history accumulates

## Load it

```python
# pandas — read straight from the Hub
import pandas as pd
df = pd.read_parquet(
    "hf://datasets/ProdIPData/ip-locations/prefix_attributes_2026-09_iso-ALL.parquet"
)

# duckdb (query without loading it all into memory)
import duckdb
duckdb.sql("""
  SELECT CountryCode, COUNT(*) AS prefixes
  FROM 'prefix_attributes_2026-09_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")
```

## Formats

Also published as **CSV** and **MMDB** (MaxMind DB compatible) 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.

## Limitations

- Geolocation is **derived** from MaxMind, the RIRs and other upstream sources 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) makes this precision **explicit**, so country-level fallbacks are visible rather than implied.
- `/24` granularity: attributes describe the block, not individual hosts.

## Attribution

Please credit **ProdIPData (prodipdata.com)** under **CC BY 4.0**. Country/region boundaries © **Natural Earth** (public domain).

- Website: https://prodipdata.com
- Downloads: https://prodipdata.com/downloads.html
- Methodology: https://prodipdata.com/methodology.html
- Contact: contact@prodipdata.com

---

MaxMind and GeoIP are registered trademarks of MaxMind, Inc. ProdIPData is not affiliated with or endorsed by MaxMind.