electricsheepafrica/africa-mali-mali-displacement-idps-returnees-baseline-assessment-iom-d-72fd6e43

Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM] | Africa (Mali official open data)

418 rows - 1 Africa country - 2023 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Mali 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: Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM]
• Publisher: International Organization for Migration (IOM)
• Resource: DTM Mali Baseline Assessment Round 79
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	418	2023	2023	Mali

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.	b9a76997-35e0-4876-ac42-eb8bc2be06a6:summary:0
country_iso3	category	ISO3 country code.	MLI
country_name	category	Country name.	Mali
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Summary
year	Int64	Observation year.	2023
region	string	Source column.	#adm1+name
total_number_of_idps	float64	Source column.	``
total_number_of_returnee_idps	string	Source column.	#affected+returnees+internal+ind
source_period_start_year	Int64	First year inferred from source resource metadata.	2023
source_period_end_year	Int64	Last year inferred from source resource metadata.	2023
source_period_label	category	Human-readable period inferred from source resource metadata.	2023
source_provider	category	Publishing organization.	International Organization for Migration (IOM)
source_dataset	category	Source package title.	Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM]
source_resource	category	Source resource title.	DTM Mali Baseline Assessment Round 79
source_package_id	category	CKAN package UUID.	ea41f7c7-2ebe-456b-b5eb-e3e0ac8d708b
source_resource_id	category	CKAN resource UUID.	b9a76997-35e0-4876-ac42-eb8bc2be06a6
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/ea41f7c7-2ebe-456b-b5eb-e3e0ac8d708b/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-12T23:12:09Z
region_pcode	string	Source column.	``
cercle	string	Source column.	``
cercle_pcode	string	Source column.	``
commune	string	Source column.	``
menage	float64	Source column.	``
f_enfant_18_ans	float64	Source column.	``
m_enfant_18_ans	float64	Source column.	``
total_enfant	float64	Source column.	``
f_adulte_18_59_ans	float64	Source column.	``
m_adulte_18_59_ans	float64	Source column.	``
total_adulte	float64	Source column.	``
f_personne_agee_59_ans	float64	Source column.	``
m_personne_agee_59_ans	float64	Source column.	``
total_personne_agee	float64	Source column.	``
femme	float64	Source column.	``
homme	float64	Source column.	``
individus	float64	Source column.	``
menages	float64	Source column.	``
total_personne	float64	Source column.	``
total_femme	float64	Source column.	``
total_homme	float64	Source column.	``
total_individus	float64	Source column.	``
adm1_name	string	Source column.	``
adm1_code	string	Source column.	``
adm2_name	string	Source column.	``
adm2_code	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-mali-displacement-idps-returnees-baseline-assessment-iom-d-72fd6e43")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MLI"]

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_mali_mali_displacement_idps_returnees_baseline_assessment_iom_d_72fd6e43_2023,
  title        = {Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM] | Africa (Mali official open data)},
  author       = {International Organization for Migration (IOM)},
  year         = {2023},
  url          = {https://data.humdata.org/dataset/mali-baseline-assessment-data-iom-dtm},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-mali-displacement-idps-returnees-baseline-assessment-iom-d-72fd6e43}}
}

License

Released under CC BY 4.0.

Original data (c) International Organization for Migration (IOM). 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 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/ea41f7c7-2ebe-456b-b5eb-e3e0ac8d708b/resource/b9a76997-35e0-4876-ac42-eb8bc2be06a6/download/dtm_mali_baseline_assessment_round_79_december_2023.xlsx