electricsheepafrica/africa-morocco-montants-moyens-honoraires-des-agents-immobiliers-par-regi-c058cfdc

Montants moyens honoraires des agents immobiliers par région et au niveau national - 2001-2019 | Africa (Morocco official open data)

220 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 par région et au niveau national - 2001-2019
• Publisher: MATNUHPV
• Resource: Honoraires agents immobiliers par région national 2001-2019.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	220	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.	54cf02c7-404e-4b09-94eb-f99b805bcee7:honoraire-par-region-national: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 region national
tanger_tetouan_al_hoceima	string	Source column.	``
villa	string	Source column.	``
pt	string	Source column.	MT
d_1879_5712598890304	float64	Source column.	3404.8478487067
d_2032_6858816435367	float64	Source column.	3073.0245630715203
d_2287_476471135839	float64	Source column.	3322.954778915856
d_2488_9348793888475	float64	Source column.	3495.813494078014
d_2479_648700344771	float64	Source column.	3378.195856081923
d_2601_3985951571194	float64	Source column.	3525.586436490524
d_2706_791876270443	float64	Source column.	3591.660386127458
d_2982_0185890743774	float64	Source column.	3893.772673367867
d_2914_270648981026	float64	Source column.	3930.896568883814
d_2894_119287769092	float64	Source column.	4428.807422808823
d_2810_4079477523155	float64	Source column.	4255.222484207277
d_2670_195467533199	float64	Source column.	4156.81857035636
d_2659_2465942150484	float64	Source column.	4086.30889554916
d_2598_7883668026375	float64	Source column.	4004.142904950998
d_2667_5311725472875	float64	Source column.	4087.400073616957
d_2657_500390716782	float64	Source column.	4083.059242288579
d_2703_4192418226166	float64	Source column.	4164.437743169464
d_2719_721633966321	float64	Source column.	4412.023932689854
d_2724_336910342879	float64	Source column.	4428.951468501379
d_0	float64	Source column.	0.0
d_100	float64	Source column.	100.0
d_108_0686541526156	float64	Source column.	90.98690229926956
d_121_61176896606668	float64	Source column.	98.01389342472967
d_132_14696789872212	float64	Source column.	103.82917157546754
d_131_7622549812711	float64	Source column.	99.09717918806044
d_138_2588305999601	float64	Source column.	103.48349284733538
d_143_20244226265618	float64	Source column.	105.54599479104624
d_157_08156774773684	float64	Source column.	113.68145250245084
d_153_33147085034764	float64	Source column.	113.89273876128908
d_152_5465359368927	float64	Source column.	127.72013056851044
d_148_46844325352595	float64	Source column.	123.5103500052749
d_141_2461363830374	float64	Source column.	121.42702168152545
d_141_00501749191832	float64	Source column.	120.27781334057252
d_138_1756809505668	float64	Source column.	118.29270800828328
d_141_4524339192622	float64	Source column.	119.2837278712507
d_141_0746368849655	float64	Source column.	119.61350401345456
d_143_47826562200828	float64	Source column.	121.94114046798
d_144_36068251846348	float64	Source column.	128.2850256058956
d_144_6767426831495	float64	Source column.	129.0598187829321
source_provider	string	Publishing organization.	MATNUHPV
source_dataset	string	Source package title.	Montants moyens honoraires des agents immobiliers par région et au nivea
source_resource	string	Source resource title.	Honoraires agents immobiliers par région national 2001-2019.xlsx
source_package_id	string	CKAN package UUID.	618dee28-b7e1-4522-b0da-c63547d785f0
source_resource_id	string	CKAN resource UUID.	54cf02c7-404e-4b09-94eb-f99b805bcee7
source_url	string	Original source resource URL.	https://data.gov.ma/data/fr/dataset/618dee28-b7e1-4522-b0da-c63547d785f0
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-par-regi-c058cfdc")
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_par_regi_c058cf_2026,
  title        = {Montants moyens honoraires des agents immobiliers par région et au niveau national - 2001-2019 | Africa (Morocco official open data)},
  author       = {MATNUHPV},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/montants-moyens-honoraires-des-agents-immobiliers-par-region-et-au-niveau-national-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-par-regi-c058cfdc}}
}

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/618dee28-b7e1-4522-b0da-c63547d785f0/resource/54cf02c7-404e-4b09-94eb-f99b805bcee7/download/honoraires-agents-immobiliers-par-region-national-2001-2019.xlsx