morocco-communes

Morocco's 12 régions, 83 provinces and préfectures, 213 cercles, 1,503 communes and 41 arrondissements, with HCP's codes, names in French and Arabic, the 2024 and 2014 census figures, and the establishments the 2024 census mapped. It reads from files inside the package, so it works offline.

pip install "morocco-communes[pandas]"

import morocco_communes as mc

communes = mc.communes()                    # 1,503 rows
communes[communes["region_code"] == "01"]   # the 146 in Tanger-Tétouan-Al Hoceima

people = mc.indicators("people")            # the 2024 census, by unit, area and sex
economy = mc.economy()                      # the establishments, by unit
housing = mc.housing()                      # the urban dwellings, by unit

Every table is a pandas DataFrame. With as_frame=False it's a list of dicts instead, and then the package needs nothing but the standard library.

Tables

indicators takes "people" or "households", and census "2024" or "2014". The 2024 census asks 73 of the 2014 questions the same way, so those columns subtract.

fields() says what each column measures, with HCP's own heading for it and its unit, and for 2024 the concept HCP defines it under and its wording. It takes "indicators", "indicators2014", "economy" or "housing". sources() gives each workbook's URL, its SHA-256 and the date it was read, and version is the dataset's.

Codes

A unit is identified by its HCP code, and the code is the hierarchy: 01.511.01.0 is a commune of province 01.511, in région 01. Codes stay strings, so code_digits keeps the leading zeros that make it 9 digits wide.

What's elsewhere

Boundaries, which communes border which, search, the urban centres and a commune lookup by point are in the repository and its API. Those all come from OpenStreetMap under ODbL, so they aren't in this package, and neither are the area and density fields derived from them. data/v1/geometry/adjacency.csv is the contiguity graph if you want one: pandas.read_csv takes it straight.

Licence

The code is MIT. The data is the Haut-Commissariat au Plan's, from RGPH 2024 and RGPH 2014, reusable on CC BY 4.0 terms: credit it and say what you changed.