electricsheepafrica/africa-sudan-sudan-humanitarian-needs-ab0c0d4e

Sudan: Humanitarian Needs | Africa (Sudan official open data)

242 rows - 1 Africa country - 2017 - 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: Humanitarian Needs
• Publisher: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
• Resource: sdn_hpc_needs_2017.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	242	2017	2017	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.	eb9e8789-f931-4d53-8f86-ecb8252fc27c:hno-population: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.	HNO Population
year	Int64	Observation year.	2017
lid	float64	Source column.	``
state	string	Source column.	#adm1+name
locality_and_camp_50_000	string	Source column.	#adm2+name
idps_in_need	float64	Source column.	``
idps_verified_in_2016	float64	Source column.	``
recent_returnees_2014_2016	float64	Source column.	``
refugees_and_asylum_seekers	float64	Source column.	``
post_dec_2013_south_sudanese_new_caseload	float64	Source column.	``
pre_dec_2013_south_sudanese_old_caseload	float64	Source column.	``
rms_beneficiaries	float64	Source column.	``
under_five_gam	float64	Source column.	``
resident_food_livelihoods_insecure	float64	Source column.	``
education	float64	Source column.	``
es_nfi	float64	Source column.	``
fsl	float64	Source column.	``
health	float64	Source column.	``
nutrition	float64	Source column.	``
protection	float64	Source column.	``
rrr	float64	Source column.	``
wash	float64	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2017
source_period_end_year	Int64	Last year inferred from source resource metadata.	2017
source_period_label	category	Human-readable period inferred from source resource metadata.	2017
source_provider	category	Publishing organization.	OCHA Humanitarian Programme Cycle Tools (HPC Tools)
source_dataset	category	Source package title.	Sudan: Humanitarian Needs
source_resource	category	Source resource title.	sdn_hpc_needs_2017.xlsx
source_package_id	category	CKAN package UUID.	0aa8c43b-ea03-4ab4-b8dc-04c26542bf76
source_resource_id	category	CKAN resource UUID.	eb9e8789-f931-4d53-8f86-ecb8252fc27c
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/0aa8c43b-ea03-4ab4-b8dc-04c26542bf76/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-19T06:27:19Z
returnees_in_need	float64	Source column.	``
vulnerable_residents	float64	Source column.	``
refugees	float64	Source column.	``
number_of_people_who_need_humanitarian_assistance	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-sudan-sudan-humanitarian-needs-ab0c0d4e")
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_humanitarian_needs_ab0c0d4e_2017,
  title        = {Sudan: Humanitarian Needs | Africa (Sudan official open data)},
  author       = {OCHA Humanitarian Programme Cycle Tools (HPC Tools)},
  year         = {2017},
  url          = {https://data.humdata.org/dataset/sudan-humanitarian-needs},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-sudan-sudan-humanitarian-needs-ab0c0d4e}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Humanitarian Programme Cycle Tools (HPC Tools). 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/0aa8c43b-ea03-4ab4-b8dc-04c26542bf76/resource/eb9e8789-f931-4d53-8f86-ecb8252fc27c/download/sudan_hno-2017-baseline-data.xlsx