electricsheepafrica/africa-mali-mali-displacement-idps-returnees-baseline-assessment-iom-d-017176b8

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

225 rows - 1 Africa country - 2019 - 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 49
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	225	2019	2019	Mali

Indicators or Resource Contents

• mali-displacement-idps-returnees-baseline-assessment-iom-dtm-total-no-of-c5663728 - Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM] - total no of idps hh
• mali-displacement-idps-returnees-baseline-assessment-iom-dtm-total-no-of-e95e1fac - Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM] - total no of idps ind
• mali-displacement-idps-returnees-baseline-assessment-iom-dtm-total-no-of-154c19f6 - Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM] - total no of returnees hh
• mali-displacement-idps-returnees-baseline-assessment-iom-dtm-total-no-of-05ea7a4d - Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM] - total no of returnees ind
• mali-displacement-idps-returnees-baseline-assessment-iom-dtm-roundno-8757fe0a - Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM] - roundno

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	mali-displacement-idps-returnees-baseline-assessment-iom-dtm-total-no-of
indicator_name	string	Human-readable indicator name.	Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM] -
country_iso3	string	ISO3 country code.	MLI
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Mali_Baseline_R49
country_name	string	Country name.	Mali
year	Int64	Observation year.	2019
value	float64	Numeric observation value.	2.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_snapshot_date	string	Source dimension.	2019-01-30 00:00:00
dimension_admin_0	string	Source dimension.	MALI
dimension_admin_0_pcode	string	Source dimension.	MLI
dimension_admin_1	string	Source dimension.	Kayes
dimension_admin_1_pcode	string	Source dimension.	MLI01
dimension_admin_2	string	Source dimension.	Kayes
dimension_admin_2_pcode	string	Source dimension.	MLI0103
dimension_admin_3	string	Source dimension.	Kayes Commune
dimension_admin_3_pcode	string	Source dimension.	ML010312
dimension_lowest_admin_level	string	Source dimension.	Admin 3
dimension_country_of_origin_of_idp	string	Source dimension.	Mali
dimension_admin_1_area_of_origin_of_idp	string	Source dimension.	Kayes
dimension_confidentiality	string	Source dimension.	No
dimension_type_of_displacement	string	Source dimension.	Conflict
dimension_conflict	string	Source dimension.	Yes
dimension_insecurity	string	Source dimension.	No
dimension_natural_disaster	string	Source dimension.	No
dimension_political_reasons	string	Source dimension.	No
dimension_economic_reasons	string	Source dimension.	No
dimension_returns	string	Source dimension.	No
dimension_migration_flows	string	Source dimension.	No
dimension_other_reason	string	Source dimension.	No
source_period_start_year	Int64	First year inferred from source resource metadata.	2018
source_period_end_year	Int64	Last year inferred from source resource metadata.	2019
source_period_label	category	Human-readable period inferred from source resource metadata.	2018-2019
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 49
source_package_id	category	CKAN package UUID.	ea41f7c7-2ebe-456b-b5eb-e3e0ac8d708b
source_resource_id	category	CKAN resource UUID.	a1c046cb-f618-441c-8e48-20ca1cb44d7f
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

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-mali-displacement-idps-returnees-baseline-assessment-iom-d-017176b8")
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_017176b8_2019,
  title        = {Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM] | Africa (Mali official open data)},
  author       = {International Organization for Migration (IOM)},
  year         = {2019},
  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-017176b8}}
}

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/a1c046cb-f618-441c-8e48-20ca1cb44d7f/download/dtm-mali-baseline-assessment-round-49.xlsx