electricsheepafrica/africa-morocco-depenses-de-consommation-finale-des-menages-en-volume-aux-324ea84d

Dépenses de consommation finale des ménages en volume aux prix de l’année précédente chaînés (Annuelle Base 2014) | Africa (Morocco official open data)

35 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: Dépenses de consommation finale des ménages en volume aux prix de l’année précédente chaînés (Annuelle Base 2014)
• Publisher: HCP
• Resource: I_12.37.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	35	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.	a55eb6eb-d963-4b34-9964-fee2916e1a25:data: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.	Data
produits	string	Source column.	Total
2014	float64	Source column.	612719.0
2015	float64	Source column.	626703.0
2016	float64	Source column.	638347.0
2017	float64	Source column.	661661.0
2018	float64	Source column.	677686.0
2019	float64	Source column.	692542.0
2020	float64	Source column.	653781.0
2021	float64	Source column.	698289.0
2022	float64	Source column.	697986.0
2023	float64	Source column.	724082.0
source_provider	string	Publishing organization.	HCP
source_dataset	string	Source package title.	Dépenses de consommation finale des ménages en volume aux prix de l’anné
source_resource	string	Source resource title.	I_12.37.xlsx
source_package_id	string	CKAN package UUID.	0ed91682-5dd0-4085-abfc-8e9f3c94372c
source_resource_id	string	CKAN resource UUID.	a55eb6eb-d963-4b34-9964-fee2916e1a25
source_url	string	Original source resource URL.	https://data.gov.ma/data/dataset/0ed91682-5dd0-4085-abfc-8e9f3c94372c/re
license_id	string	Source license identifier.	odc-odbl
retrieved_at	string	UTC retrieval timestamp.	2026-07-16T21:31:48Z
l_indicateur	string	Source column.	``
depenses_de_consommation_finale_des_menages_en_volume_au	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-depenses-de-consommation-finale-des-menages-en-volume-aux-324ea84d")
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_depenses_de_consommation_finale_des_menages_en_volume_aux_324ea84_2026,
  title        = {Dépenses de consommation finale des ménages en volume aux prix de l’année précédente chaînés (Annuelle Base 2014) | Africa (Morocco official open data)},
  author       = {HCP},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/data_12_37},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-depenses-de-consommation-finale-des-menages-en-volume-aux-324ea84d}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) HCP. 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/dataset/0ed91682-5dd0-4085-abfc-8e9f3c94372c/resource/a55eb6eb-d963-4b34-9964-fee2916e1a25/download/i_12.37.xlsx