electricsheepafrica/africa-mali-mali-subnational-displacement-forecasts-21255cc1

Mali - Subnational Displacement Forecasts | Africa (Mali official open data)

476 rows - 1 Africa country - 2025-2026 - 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 - Subnational Displacement Forecasts
• Publisher: Danish Refugee Council
• Resource: Mali - Displacement forecasts Jan26-Mar26.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MLI	476	2025	2026	Mali

Indicators or Resource Contents

• mali-subnational-displacement-forecasts-month-cc4975c0 - Mali - Subnational Displacement Forecasts - month
• mali-subnational-displacement-forecasts-idp-number-099fb276 - Mali - Subnational Displacement Forecasts - idp number
• mali-subnational-displacement-forecasts-lower-bound-24c39324 - Mali - Subnational Displacement Forecasts - lower bound
• mali-subnational-displacement-forecasts-upper-bound-2f1028b6 - Mali - Subnational Displacement Forecasts - upper bound

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	mali-subnational-displacement-forecasts-month-cc4975c0
indicator_name	string	Human-readable indicator name.	Mali - Subnational Displacement Forecasts - month
country_iso3	string	ISO3 country code.	MLI
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Sheet 1
country_name	string	Country name.	Mali
year	Int64	Observation year.	2025
value	float64	Numeric observation value.	10.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_region	string	Source dimension.	Bamako
dimension_data_type	string	Source dimension.	estimated
source_period_start_year	Int64	First year inferred from source resource metadata.	2026
source_period_end_year	Int64	Last year inferred from source resource metadata.	2026
source_period_label	category	Human-readable period inferred from source resource metadata.	2026
source_provider	category	Publishing organization.	Danish Refugee Council
source_dataset	category	Source package title.	Mali - Subnational Displacement Forecasts
source_resource	category	Source resource title.	Mali - Displacement forecasts Jan26-Mar26.xlsx
source_package_id	category	CKAN package UUID.	79277aab-7bd9-4433-9bed-0eeca193db62
source_resource_id	category	CKAN resource UUID.	30bd829e-757b-47f3-bfe9-ac7e2ed7421a
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/79277aab-7bd9-4433-9bed-0eeca193db62/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-subnational-displacement-forecasts-21255cc1")
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_subnational_displacement_forecasts_21255cc1_2026,
  title        = {Mali - Subnational Displacement Forecasts | Africa (Mali official open data)},
  author       = {Danish Refugee Council},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/mali-subnational-displacement-forecasts},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-mali-subnational-displacement-forecasts-21255cc1}}
}

License

Released under CC BY 4.0.

Original data (c) Danish Refugee Council. 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

---

Provenance: ingested 2026-08-13 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/79277aab-7bd9-4433-9bed-0eeca193db62/resource/30bd829e-757b-47f3-bfe9-ac7e2ed7421a/download/mali-displacement-forecasts-jan26-mar26.xlsx