electricsheepafrica/africa-sudan-sudan-displacement-situation-idps-iom-dtm-a85486f5

Sudan: Displacement Situation - IDPs [IOM DTM] | Africa (Sudan official open data)

217 rows - 1 Africa country - 2003-2023 - 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: Displacement Situation - IDPs [IOM DTM]
• Publisher: International Organization for Migration (IOM)
• Resource: Sudan - Countrywide Mobility Update 23 (Bi-Weekly)
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
SDN	217	2003	2023	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.	3fd46b26-2612-4e85-8c40-fe5240390b7d:read-me: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.	Read Me
disclaimer	string	Source column.	DTM Sudan is a suite of methodological tools which aims to track and mon
source_period_start_year	Int64	First year inferred from source resource metadata.	2003
source_period_end_year	Int64	Last year inferred from source resource metadata.	2023
source_period_label	category	Human-readable period inferred from source resource metadata.	2003-2023
source_provider	category	Publishing organization.	International Organization for Migration (IOM)
source_dataset	category	Source package title.	Sudan: Displacement Situation - IDPs [IOM DTM]
source_resource	category	Source resource title.	Sudan - Countrywide Mobility Update 23 (Bi-Weekly)
source_package_id	category	CKAN package UUID.	44594ae2-dde9-417f-acae-523bc012c162
source_resource_id	category	CKAN resource UUID.	3fd46b26-2612-4e85-8c40-fe5240390b7d
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/44594ae2-dde9-417f-acae-523bc012c162/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-19T06:27:19Z
state_of_displacement	string	Source column.	``
state_code	string	Source column.	``
idps	float64	Source column.	``
hhs	float64	Source column.	``
aj_jazirah	float64	Source column.	``
blue_nile	float64	Source column.	``
central_darfur	float64	Source column.	``
east_darfur	float64	Source column.	``
gedaref	float64	Source column.	``
kassala	float64	Source column.	``
khartoum	float64	Source column.	``
north_darfur	float64	Source column.	``
north_kordofan	float64	Source column.	``
northern	float64	Source column.	``
red_sea	float64	Source column.	``
river_nile	float64	Source column.	``
sennar	float64	Source column.	``
south_darfur	float64	Source column.	``
south_kordofan	float64	Source column.	``
west_darfur	float64	Source column.	``
west_kordofan	float64	Source column.	``
white_nile	float64	Source column.	``
sudanese	float64	Source column.	``
non_sudanese	float64	Source column.	``
state_of_displacemet	string	Source column.	``
locality_of_displacement	string	Source column.	``
locality_code	string	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-sudan-sudan-displacement-situation-idps-iom-dtm-a85486f5")
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_displacement_situation_idps_iom_dtm_a85486f5_2023,
  title        = {Sudan: Displacement Situation - IDPs [IOM DTM] | Africa (Sudan official open data)},
  author       = {International Organization for Migration (IOM)},
  year         = {2023},
  url          = {https://data.humdata.org/dataset/sudan-displacement-situation-countrywide-idps-iom-dtm},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-sudan-sudan-displacement-situation-idps-iom-dtm-a85486f5}}
}

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 2026-08-19 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/44594ae2-dde9-417f-acae-523bc012c162/resource/3fd46b26-2612-4e85-8c40-fe5240390b7d/download/dtm_sdn_idps_28102025-update-001_public.xlsx