electricsheepafrica/africa-sudan-sudan-subnational-displacement-forecasts-060a5177

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

436 rows - 1 Africa country - 2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Sudan 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: Sudan - Subnational Displacement Forecasts
• Publisher: Danish Refugee Council
• Resource: Sudan - Displacement forecasts Jun26-Aug26.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SDN	436	2026	2026	Sudan

Indicators or Resource Contents

• sudan-subnational-displacement-forecasts-month-ede2f220 - Sudan - Subnational Displacement Forecasts - month
• sudan-subnational-displacement-forecasts-idp-number-11f53a74 - Sudan - Subnational Displacement Forecasts - idp number
• sudan-subnational-displacement-forecasts-lower-bound-b1c320d2 - Sudan - Subnational Displacement Forecasts - lower bound
• sudan-subnational-displacement-forecasts-upper-bound-d6b56f04 - Sudan - Subnational Displacement Forecasts - upper bound

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	sudan-subnational-displacement-forecasts-month-ede2f220
indicator_name	string	Human-readable indicator name.	Sudan - Subnational Displacement Forecasts - month
country_iso3	string	ISO3 country code.	SDN
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Sheet 1
country_name	string	Country name.	Sudan
year	Int64	Observation year.	2026
value	float64	Numeric observation value.	3.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_state	string	Source dimension.	Aj Jazirah
dimension_data_type	string	Source dimension.	observed
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.	Sudan - Subnational Displacement Forecasts
source_resource	category	Source resource title.	Sudan - Displacement forecasts Jun26-Aug26.xlsx
source_package_id	category	CKAN package UUID.	f061d32e-b980-413d-9951-989863eb614b
source_resource_id	category	CKAN resource UUID.	0bb4a18f-2531-4081-84dc-b7715921dbd1
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/f061d32e-b980-413d-9951-989863eb614b/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-19T06:27:19Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-sudan-sudan-subnational-displacement-forecasts-060a5177")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "SDN"]

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_sudan_sudan_subnational_displacement_forecasts_060a5177_2026,
  title        = {Sudan - Subnational Displacement Forecasts | Africa (Sudan official open data)},
  author       = {Danish Refugee Council},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/sudan-subnational-displacement-forecasts},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-sudan-sudan-subnational-displacement-forecasts-060a5177}}
}

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

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Provenance: ingested 2026-08-19 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/f061d32e-b980-413d-9951-989863eb614b/resource/0bb4a18f-2531-4081-84dc-b7715921dbd1/download/sudan-displacement-forecasts-jun26-aug26.xlsx