electricsheepafrica/africa-morocco-indicateurs-sectoriels-batiments-et-travaux-publics-2010-2-42d460b9

Indicateurs sectoriels -Bâtiments et travaux publics 2010-2020 | Africa (Morocco official open data)

14 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Morocco as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Indicateurs sectoriels -Bâtiments et travaux publics 2010-2020
• Publisher: MEF
• Resource: Indicateurs sectoriels-Batiments et travaux publics.xlsx
• Format: XLSX
• License: Open Data Commons Open Database License
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MAR	14	n/a	n/a	Morocco

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	667927e2-9938-48d3-ab1d-14a1d05598d9:batiment-et-travaux-publics:0
country_iso3	string	ISO3 country code.	MAR
country_name	string	Country name.	Morocco
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Bâtiment et travaux publics
immeubles	string	Source column.	Villas
d_12_228592893257806	float64	Source column.	4.181745183748108
d_15_014424337791766	float64	Source column.	4.63545764489903
d_12_781775619906362	float64	Source column.	4.76851049072308
d_14_93341855757963	float64	Source column.	4.78321082347928
d_14_861155442068306	float64	Source column.	5.6154910096818815
column_7	float64	Source column.	``
d_14_386386756681771	float64	Source column.	4.54083048182743
d_12_294688310440879	float64	Source column.	3.874747862837384
d_11_586417030830292	float64	Source column.	3.794651806117949
d_10_156031834683048	float64	Source column.	3.3754537838592573
d_12_010699619485363	float64	Source column.	3.829634931997137
d_11_305108531228928	float64	Source column.	4.572709544551568
d_13_12428901691681	float64	Source column.	4.352133866647096
d_13_157894736842104	float64	Source column.	4.442448246294557
d_13_617533620390587	float64	Source column.	4.518090729139032
d_15_014424337791766_2	float64	Source column.	4.63545764489903
d_12_781775619906362_2	float64	Source column.	4.76851049072308
d_14_93341855757963_2	float64	Source column.	4.78321082347928
d_14_861155442068306_2	float64	Source column.	5.6154910096818815
source_provider	string	Publishing organization.	MEF
source_dataset	string	Source package title.	Indicateurs sectoriels -Bâtiments et travaux publics 2010-2020
source_resource	string	Source resource title.	Indicateurs sectoriels-Batiments et travaux publics.xlsx
source_package_id	string	CKAN package UUID.	a066ecb3-3d54-4046-9e3d-79838ea0a6bd
source_resource_id	string	CKAN resource UUID.	667927e2-9938-48d3-ab1d-14a1d05598d9
source_url	string	Original source resource URL.	https://data.gov.ma/data/fr/dataset/a066ecb3-3d54-4046-9e3d-79838ea0a6bd
license_id	string	Source license identifier.	odc-odbl
retrieved_at	string	UTC retrieval timestamp.	2026-07-16T21:31:48Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-indicateurs-sectoriels-batiments-et-travaux-publics-2010-2-42d460b9")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MAR"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_morocco_indicateurs_sectoriels_batiments_et_travaux_publics_2010_2_42d460_2026,
  title        = {Indicateurs sectoriels -Bâtiments et travaux publics 2010-2020 | Africa (Morocco official open data)},
  author       = {MEF},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/indicateurs-sectoriels-batiments-et-travaux-publics-2010-2020},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-indicateurs-sectoriels-batiments-et-travaux-publics-2010-2-42d460b9}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) MEF. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.gov.ma/data/fr/dataset/a066ecb3-3d54-4046-9e3d-79838ea0a6bd/resource/667927e2-9938-48d3-ab1d-14a1d05598d9/download/indicateurs-sectoriels-batiments-et-travaux-publics.xlsx