electricsheepafrica/africa-morocco-montants-moyens-honoraires-des-agents-immobiliers-region-d-573eca64

Montants moyens honoraires des agents immobiliers – Région Dakhla-Oued Ed Dahab 2001-2022 | Africa (Morocco official open data)

50 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: Montants moyens honoraires des agents immobiliers – Région Dakhla-Oued Ed Dahab 2001-2022
• Publisher: MATNUHPV
• Resource: Honoraires agents immobiliers région Dakhla-Oued Ed Dahab 2001-2022.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	50	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.	e2f08bcd-d127-44af-bf21-95b4d7277536:honoraire-par-ville-region-eod: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.	honoraire par ville region EOD
dakhla	string	Source column.	``
villa	string	Source column.	``
pt	string	Source column.	MT
d_1350	float64	Source column.	1600.0
d_1471_1624795350488	float64	Source column.	1633.0
d_1693_9390327783087	float64	Source column.	1465.4567871662466
d_1667_2172647522275	float64	Source column.	1559.9421921511614
d_1560_0923765229602	float64	Source column.	1571.7570393434942
d_1662_7144839492746	float64	Source column.	1748.9130021209965
d_1749_3146887081846	float64	Source column.	1857.177649755792
d_1851_3408632831638	float64	Source column.	1983.523099084574
d_1950_7576489135772	float64	Source column.	2087.933683690453
d_2055_5648162539146	float64	Source column.	2249.6834165355963
d_2162_5679332668083	float64	Source column.	2416.4976906955003
d_2272_8083478459744	float64	Source column.	2589.475088856545
d_2376_71	float64	Source column.	2768.1800479177605
d_2516_2100000000014	float64	Source column.	2954.82
d_2501_8	float64	Source column.	2988.88
d_2626_89	float64	Source column.	3181.439999999999
d_2591_15	float64	Source column.	3223.44
d_2622_9699999999984	float64	Source column.	2954.82
d_2483_93	float64	Source column.	3150.18
d_2331	float64	Source column.	2874.0
d_2798	float64	Source column.	3429.0
d_3010	float64	Source column.	3570.0
d_0	float64	Source column.	0.0
d_100	float64	Source column.	100.0
d_108_97499848407769	float64	Source column.	102.0625
d_125_47696539098582	float64	Source column.	91.5910491978904
d_123_49757516683165	float64	Source column.	97.4963870094476
d_115_56239826096002	float64	Source column.	98.2348149589684
d_123_16403584809441	float64	Source column.	109.30706263256228
d_129_5788658302359	float64	Source column.	116.073603109737
d_137_13636024319732	float64	Source column.	123.97019369278588
d_144_5005665861909	float64	Source column.	130.49585523065332
d_152_26406046325295	float64	Source column.	140.60521353347477
d_160_19021727902285	float64	Source column.	151.03110566846877
d_168_35617391451663	float64	Source column.	161.84219305353406
d_176_0525925925926	float64	Source column.	173.01125299486003
d_186_38592592592605	float64	Source column.	184.67625
d_185_31851851851854	float64	Source column.	186.805
d_194_58444444444444	float64	Source column.	198.84
d_191_93703703703704	float64	Source column.	201.465
d_194_29407407407393	float64	Source column.	184.67625
d_183_9948148148148	float64	Source column.	196.88625
d_172_66666666666666	float64	Source column.	179.625
d_207_25925925925927	float64	Source column.	214.3125
d_222_96296296296296	float64	Source column.	223.125
source_provider	string	Publishing organization.	MATNUHPV
source_dataset	string	Source package title.	Montants moyens honoraires des agents immobiliers – Région Dakhla-Oued E
source_resource	string	Source resource title.	Honoraires agents immobiliers région Dakhla-Oued Ed Dahab 2001-2022.xlsx
source_package_id	string	CKAN package UUID.	c9518171-77c2-41e0-a795-b93993d5b2ef
source_resource_id	string	CKAN resource UUID.	e2f08bcd-d127-44af-bf21-95b4d7277536
source_url	string	Original source resource URL.	https://data.gov.ma/data/fr/dataset/c9518171-77c2-41e0-a795-b93993d5b2ef
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-montants-moyens-honoraires-des-agents-immobiliers-region-d-573eca64")
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_montants_moyens_honoraires_des_agents_immobiliers_region_d_573eca_2026,
  title        = {Montants moyens honoraires des agents immobiliers – Région Dakhla-Oued Ed Dahab 2001-2022 | Africa (Morocco official open data)},
  author       = {MATNUHPV},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/montants-moyens-honoraires-des-agents-immobiliers-region-dakhla-oued-ed-dahab-2001-2019},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-montants-moyens-honoraires-des-agents-immobiliers-region-d-573eca64}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) MATNUHPV. 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/c9518171-77c2-41e0-a795-b93993d5b2ef/resource/e2f08bcd-d127-44af-bf21-95b4d7277536/download/honoraires-agents-immobilier-region-eod-2001-2022.xlsx