electricsheepafrica/africa-sudan-sudan-monthly-refugee-and-asylum-seeker-population-by-site-54e0d778

Sudan: Monthly Refugee and Asylum-Seeker Population by Site, Disaggregated by Age and Gender | Africa (Sudan official open data)

182 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: Monthly Refugee and Asylum-Seeker Population by Site, Disaggregated by Age and Gender
• Publisher: UNHCR - The UN Refugee Agency
• Resource: HDX-unhcr-population-as-of-31st-March-2026.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SDN	182	2026	2026	Sudan

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.	18929a15-833c-4c41-bf38-3e0f06f10c9a:ssds:0
country_iso3	category	ISO3 country code.	SDN
country_name	category	Country name.	Sudan
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	SSDs
year	Int64	Observation year.	2026
white_nile	string	Source column.	``
el_jabalian	string	Source column.	``
alagaya	string	Source column.	Dabat Bosin
refugee_camp	string	Source column.	Refugee Camp
d_2683	float64	Source column.	1413.0
d_2902	float64	Source column.	1529.0
d_8757	float64	Source column.	4622.0
d_9760	float64	Source column.	5150.0
d_5553	float64	Source column.	2944.0
d_6389	float64	Source column.	3382.0
d_13867	float64	Source column.	7347.0
d_10405	float64	Source column.	5509.0
d_1419	float64	Source column.	754.0
d_805	float64	Source column.	429.0
d_1	float64	Source column.	1.0
d_62540	float64	Source column.	33079.0
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.	UNHCR - The UN Refugee Agency
source_dataset	category	Source package title.	Sudan: Monthly Refugee and Asylum-Seeker Population by Site, Disaggregat
source_resource	category	Source resource title.	HDX-unhcr-population-as-of-31st-March-2026.xlsx
source_package_id	category	CKAN package UUID.	8bdbd541-71a8-4760-9878-53941f9c24b6
source_resource_id	category	CKAN resource UUID.	18929a15-833c-4c41-bf38-3e0f06f10c9a
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/8bdbd541-71a8-4760-9878-53941f9c24b6/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-monthly-refugee-and-asylum-seeker-population-by-site-54e0d778")
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_monthly_refugee_and_asylum_seeker_population_by_site_54e0d778_2026,
  title        = {Sudan: Monthly Refugee and Asylum-Seeker Population by Site, Disaggregated by Age and Gender | Africa (Sudan official open data)},
  author       = {UNHCR - The UN Refugee Agency},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/sudan-monthly-refugee-and-asylum-seeker-population-by-site},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-sudan-sudan-monthly-refugee-and-asylum-seeker-population-by-site-54e0d778}}
}

License

Released under CC BY 4.0.

Original data (c) UNHCR - The UN Refugee Agency. 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/8bdbd541-71a8-4760-9878-53941f9c24b6/resource/18929a15-833c-4c41-bf38-3e0f06f10c9a/download/hdx-unhcr-population-as-of-31st-march-2026.xlsx