ruian-import

Python library for downloading and parsing ČÚZK (RÚIAN) registries: regions, districts, municipalities, and city districts (městské části / obvody), plus WGS84 boundary geometry for each level.

Installation

pip install ruian-import
# with coordinate support (S-JTSK -> WGS84):
pip install "ruian-import[coordinates]"

Usage

from ruian_import import fetch_regions, fetch_districts, fetch_municipalities

regions = fetch_regions()             # list[Region]
districts = fetch_districts()         # list[District]
municipalities = fetch_municipalities() # list[Municipality]

Data classes

@dataclass
class Region:
    code: str              # e.g. "19"
    name: str              # e.g. "Hlavní město Praha"
    nuts_lau: str | None   # e.g. "CZ010"
    abolished: str | None  # abolishment date "YYYY-MM-DD", or None if active

@dataclass
class District:
    code: str
    name: str
    region_code: str
    nuts_lau: str | None
    abolished: str | None

@dataclass
class Municipality:
    code: str              # 6-digit municipality code, e.g. "554979"
    name: str
    district_code: str
    lat: float | None      # WGS84, only available with [coordinates]
    lon: float | None
    abolished: str | None

@dataclass
class CityDistrict:         # městský obvod / městská část (MOMC)
    code: str
    name: str
    municipality_code: str # parent obec (statutární město)
    abolished: str | None

City districts (městské části / obvody)

Statutory cities and Prague are subdivided into MOMC units. They come from the ČÚZK ArcGIS layer (which carries a clean parent-obec link), not a CSV registry:

from ruian_import import fetch_city_districts

for cd in fetch_city_districts():
    print(cd.code, cd.name, "->", cd.municipality_code)

Boundary geometry

Every administrative level exposes its full boundary (not just a centroid) as GeoJSON, keyed by RUIAN code, in WGS84 (lon/lat order):

from ruian_import import (
    fetch_region_geometries,
    fetch_district_geometries,
    fetch_municipality_geometries,
    fetch_city_district_geometries,
)

geoms = fetch_district_geometries()          # {code: {"type": "Polygon"|"MultiPolygon", ...}}
outline = geoms["3207"]                       # okres Beroun

# custom simplification tolerance (degrees; default ~0.001 ≈ 110 m):
detailed = fetch_municipality_geometries(simplify=0.0002)

Geometry is downloaded from the ČÚZK ArcGIS REST API with server-side Douglas-Peucker simplification and transparent pagination. Only active units (platido IS NULL) are returned.

Abolished records have abolished set to a date string; active records have abolished = None.

Municipality coordinates

UI_OBEC.csv does not include coordinates. Use fetch_municipalities_with_coordinates() to make a second request to the ČÚZK ArcGIS REST API and return polygon centroids (accuracy ~100 m, one HTTP request for all municipalities):

from ruian_import import fetch_municipalities_with_coordinates

municipalities = fetch_municipalities_with_coordinates()  # lat/lon populated

Or fetch coordinates separately:

from ruian_import import fetch_municipality_coordinates

coords = fetch_municipality_coordinates()  # dict[str, tuple[float, float]] - code -> (lat, lon)

Custom URL / local files

from ruian_import._parse import parse_municipalities

data = Path("UI_OBEC.zip").read_bytes()
municipalities = parse_municipalities(data)

Data sources

ČÚZK registries are updated daily:

• Regions: https://services.cuzk.cz/sestavy/cis/UI_VUSC.zip
• Districts: https://services.cuzk.cz/sestavy/cis/UI_OKRES.zip
• Municipalities: https://services.cuzk.cz/sestavy/cis/UI_OBEC.zip

License

MIT