Czech company database from the RES register, with RÚIAN addresses
Czech companies and organisations by IČO (the company ID), from the register of economic entities (RES): legal form, CZ-NACE activities, size and registered office address with GPS. No natural persons.
One-time payment, final price for a personal licence, switch to business at checkout · data as of 31 October 2026


How much work it saves
Joining two RES exports with six code lists from ČSÚ, the Czech Statistical Office, removing natural persons, splitting activities into a separate table and matching registered offices to address points in RÚIAN, the Czech register of addresses, buildings, parcels and territorial units. 96.7% of entities have coordinates.
Measured on our own build
- Lines of code and tests
- 528
We measured AI agent usage on 6 other datasets: the first working version of the code took 10m to 40m tokens and 21–62 mins of agent run time.
- Free sample: all tables cut down to the Kutná Hora area, in CSV and Parquet. Download the sample
- Data as of
- 31 October 2026
- Rows
- 8.3m
- Tables
- 2
- Bundle contents
- 2 tables: firmy, firmy_nace
- Formats
- PostgreSQL, Parquet, CSV, JSON
- Source licence
- CC BY 4.0 (ČSÚ, ČÚZK)
What’s inside
Legal entities, organisational units of the state, municipalities, associations and other entities from the RES register, without natural persons. Legal form, CZ-NACE (the Czech version of the EU classification of economic activities), institutional sector, size, registered office address with the RÚIAN address point code and WGS84 coordinates.
| Table | Rows |
|---|---|
firmyone row = one IČO, the Czech company ID number (active entities and those dissolved since 11/2022) | 968,262 |
firmy_naceall activities of the entities (CZ-NACE 2025 and Rev. 2), long format | 7,372,636 |
firmy_aktivniviewPostgreSQL view = firmy WHERE je_aktivni | 882,590 |
Downloads
Every format contains the same data. Download only the one you need; verify its integrity with the SHA256SUMS file.
| Format | Files | Size |
|---|---|---|
| PostgreSQLschema.sql with types, keys, indexes and comments, and import.sh, which loads the data from CSV | 2 | 6.0 kB |
| ParquetOne file per table (zstd). DuckDB, Polars and pandas read it without an import. | 2 | 82 MB |
| CSVUTF-8, comma-separated, with a header; large tables as .csv.gz | 2 | 135 MB |
| JSONAn array of objects; large tables as JSON Lines (.jsonl.gz) | 2 | 170 MB |
- In preparation Public register data for companies: Date of registration, registered capital, objects of business and companies on the boards of other companies, by IČO.
- Considering DIČ and unreliable VAT payers: Validation of DIČ (the Czech tax/VAT ID), VAT payer status and published bank accounts of legal entities.
- Considering Company vehicle fleets: Number of a company’s vehicles by category, fuel and age, by IČO.
Code example
More examples for SQL, DuckDB, Python and Node.js are in the README.md inside the bundle.
-- všechny firmy s činností 'Vývoj software' (i vedlejší)
SELECT f.ico, f.nazev, f.kraj FROM 'parquet/firmy.parquet' f
JOIN 'parquet/firmy_nace.parquet' n USING (ico)
WHERE n.klasifikace = 'CZ-NACE 2025' AND n.nace_kod LIKE '621%' AND f.je_aktivni;import pandas as pd
firmy = pd.read_parquet("parquet/firmy.parquet")
aktivni = firmy[firmy.je_aktivni]
print(aktivni.groupby("kraj").size())Source and licence
- Sources
- Processed by
- czechdatasets.com. The data is modified and is not an official output of the authority; the required attribution is in LICENCE.txt.
Joins with
Datasets share RÚIAN codes and IČO, so one JOIN connects them.


Data boxes
A list of data boxes for every Czech legal entity and public authority: data box ID by company ID (IČO), with registered office address and GPS. Data boxes are the official e-delivery mailboxes.


RÚIAN with history
Complete RÚIAN data: Czech parcels, buildings, addresses, streets and territorial units for the whole country. The current state and every version since August 2015, month by month.


ČSÚ code lists
List of Czech municipalities, regions, districts and ORP areas with their official codes, plus CZ-NACE, CZ-ISCO, CZ-CPA, CZ-NUTS, legal forms and countries with ISO codes. All versions merged into validity intervals.
More datasets
- Address geocoder and autocomplete
- Address risks
- Job vacancies
- Medicinal products (SÚKL)
- Medicine shortages and availability
- Pharmacies with opening hours and GPS
- Healthcare facilities (NRPZS)
- Schools and school facilities
- Election results 1996–2026
- Municipalities in numbers 2000–2025
- Wages by region and industry
- Population of municipalities 2000–2026
- Free bundle
Companies with GPS for 490 CZK.
One-time payment, download right after paying, no account and no subscription. Updates to the dataset are included in the price. All 15 paid datasets together cost 2,490 CZK, 3,510 CZK less than buying them one by one.