electricsheepafrica/africa-mali-mali-displacement-idps-returnees-baseline-assessment-iom-d-b141627c

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

61 rows - 1 Africa country - 1930-2018 - 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 46
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	61	1930	2018	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.	80cd60f8-4746-4bcf-979d-91ddd54e6376:mali-baseline-r46:0
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.	Mali_Baseline_R46
snapshot_date	string	Source column.	#date +reported
survey_date	string	Source column.	#date +occurred
admin_0	string	Source column.	#country +name
admin_0_pcode	string	Source column.	#country +code
admin_1	string	Source column.	#adm1 +name
admin_1_pcode	string	Source column.	#adm1 +code
admin_2	string	Source column.	#adm2 +name
admin_2_pcode	string	Source column.	#adm2 +code
admin_3	string	Source column.	#adm3 +name
admin_3_pcode	string	Source column.	#adm3 +code
lowest_admin_level	float64	Source column.	``
total_no_of_idps_hh	float64	Source column.	``
total_no_of_idps_ind	float64	Source column.	``
main_displacement_start_date	string	Source column.	``
d_2nd_main_displacement_start_date	string	Source column.	``
total_no_of_returnees_hh	float64	Source column.	``
total_no_of_returnees_ind	float64	Source column.	``
country_of_origin_of_idp	string	Source column.	#country +name +origin
admin_1_area_of_origin_of_idp	string	Source column.	#adm1 +name +origin
confidentiality	string	Source column.	``
type_of_displacement	string	Source column.	``
conflict	string	Source column.	``
insecurity	string	Source column.	``
natural_disaster	string	Source column.	``
political_reasons	string	Source column.	``
economic_reasons	string	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	1930
source_period_end_year	Int64	Last year inferred from source resource metadata.	2018
source_period_label	category	Human-readable period inferred from source resource metadata.	1930-2018
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 46
source_package_id	category	CKAN package UUID.	ea41f7c7-2ebe-456b-b5eb-e3e0ac8d708b
source_resource_id	category	CKAN resource UUID.	80cd60f8-4746-4bcf-979d-91ddd54e6376
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
etiquettes_de_lignes	string	Source column.	``
somme_de_total_no_of_idps_hh	float64	Source column.	``
somme_de_total_no_of_idps_ind	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-mali-displacement-idps-returnees-baseline-assessment-iom-d-b141627c")
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_b141627c_2018,
  title        = {Mali Displacement - [IDPs, Returnees] - Baseline Assessment [IOM DTM] | Africa (Mali official open data)},
  author       = {International Organization for Migration (IOM)},
  year         = {2018},
  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-b141627c}}
}

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/80cd60f8-4746-4bcf-979d-91ddd54e6376/download/dtm-mali-baseline-assessment-round-46.xlsx