Datasets:

ProdIPData
/

ip-locations

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

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).

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)

Load it

# 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")

Formats

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.

Limitations

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.

Attribution

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

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

Website: https://prodipdata.com
Downloads: https://prodipdata.com/downloads.html
Methodology: https://prodipdata.com/methodology.html