electricsheepafrica/africa-south-sudan-south-sudan-jiaf-humanitarian-needs-people-in-need-and-sev-5f560e1b

South Sudan Jiaf Humanitarian Needs People in Need and Sev | Africa (OCHA South Sudan)

555 rows - 1 Africa country/area - 2026 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 555 rows from OCHA South Sudan, covering South Sudan Jiaf Humanitarian Needs People in Need and Sev. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: SSD - JIAF Humanitarian Needs People in Need and Severity 2026

How To Read This Dataset

• One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	555
Countries/areas	1
First period	2026
Last period	2026
Indicators	0
Columns	64
Source format	XLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area	Rows	First year	Last year	Name
SSD	555	2026	2026	South Sudan

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	db9be050-a6ca-4268-8a3d-4252fc7b9f6b:ws-3-1-overall-pin:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	SSD
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	South Sudan
source_sheet	string	Source column from the original resource.	WS - 3.1 Overall PiN
year	int64	Observation year.	2026
admin_1	string	Source column from the original resource.	Abyei Administrative Area
admin_1_p_code	string	Source column from the original resource.	SS00
admin_2	string	Source column from the original resource.	Abyei Administrative Area
admin_2_p_code	string	Source column from the original resource.	SS0001
affected_population_projection_2026	double	Source column from the original resource.	122221.68957757292
population_group	string	Source column from the original resource.	IDPs
cccm	double	Source column from the original resource.	30000.0
education	double	Source column from the original resource.	26008.775542107516
nutrition	double	Source column from the original resource.	45256.13091560167
food_security	double	Source column from the original resource.	75443.06468312298
health	double	Source column from the original resource.	85561.69897180796
overarching_protection	double	Source column from the original resource.	84755.0
shelter	double	Source column from the original resource.	76068.04456226567
wash	double	Source column from the original resource.	47530.65705794502
severity	double	Source column from the original resource.	4.0
preliminary_pin	double	Source column from the original resource.	85561.69897180796
final_pin	double	Source column from the original resource.	85561.69897180796
source_period_start_year	int64	Start year inferred from source metadata.	2026
source_period_end_year	int64	End year inferred from source metadata.	2026
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2026
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	OCHA South Sudan
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	South Sudan: JIAF Humanitarian Needs People in Need and Severity
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	SSD_Humanitarian_Needs_PiN_and_Severity_2026
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	bfdf0ecb-0ee1-4813-bfa2-0cf3b5b8f9c5
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	db9be050-a6ca-4268-8a3d-4252fc7b9f6b
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/bfdf0ecb-0ee1-4813-bfa2-0cf3b5b8f9c5...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-10T18:18:23Z
preliminary_intersectoral_severity_based_on_overlap_of_s	double	Source column from the original resource.	``
hr_ihl_violation	double	Source column from the original resource.	``
final_severity	double	Source column from the original resource.	``
evidence_comments	double	Source column from the original resource.	``
final_intersectoral_priority_ranking	double	Source column from the original resource.	``
cccm_old	double	Source column from the original resource.	``
education_old	double	Source column from the original resource.	``
nutrition_old	double	Source column from the original resource.	``
food_security_old	double	Source column from the original resource.	``
health_old	double	Source column from the original resource.	``
overarching_protection_old	double	Source column from the original resource.	``
shelter_old	double	Source column from the original resource.	``
wash_old	double	Source column from the original resource.	``
cccm_new	double	Source column from the original resource.	``
education_new	double	Source column from the original resource.	``
nutrition_new	double	Source column from the original resource.	``
food_security_new	double	Source column from the original resource.	``
health_new	double	Source column from the original resource.	``
overarching_protection_new	double	Source column from the original resource.	``
shelter_new	double	Source column from the original resource.	``
wash_new	double	Source column from the original resource.	``
pin_difference_for_cccm	double	Source column from the original resource.	``
pin_difference_for_education	double	Source column from the original resource.	``
pin_difference_for_nutrition	double	Source column from the original resource.	``
pin_difference_for_food_security	double	Source column from the original resource.	``
pin_difference_for_health	double	Source column from the original resource.	``
pin_difference_for_overarching_protection	double	Source column from the original resource.	``
pin_difference_for_shelter	double	Source column from the original resource.	``
pin_difference_for_wash	double	Source column from the original resource.	``
overall_pin_old	double	Source column from the original resource.	``
overall_pin_new	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-south-sudan-jiaf-humanitarian-needs-people-in-need-and-sev-5f560e1b")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "SSD"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• Canonical time field: year.
• Missing values are preserved rather than silently imputed.
• Column names are standardized for machine use; source meanings are preserved where known.
• Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• Source: OCHA South Sudan
• Publisher: OCHA South Sudan
• Portal: https://data.humdata.org
• Resource: SSD_Humanitarian_Needs_PiN_and_Severity_2026
• License: CC BY 4.0
• Retrieved/generated: 2026-08-10T19:07:24Z
• Hugging Face repo: electricsheepafrica/africa-south-sudan-south-sudan-jiaf-humanitarian-needs-people-in-need-and-sev-5f560e1b

Transformations Applied

• Converted the source table to Parquet for efficient analytics and ML workflows.
• Added or preserved source provenance columns where available.
• Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• Preserved source-reported values without analytical imputation.

Suggested Analyses

• Build demographic profiles
• Normalize indicators per capita
• Join with service-delivery datasets
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_south_sudan_south_sudan_jiaf_humanitarian_needs_people_in_need_and_sev_5f_2026,
  title        = {South Sudan Jiaf Humanitarian Needs People in Need and Sev | Africa (OCHA South Sudan)},
  author       = {OCHA South Sudan},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/ssd-jiaf-humanitarian-needs-pin-and-severity},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-south-sudan-jiaf-humanitarian-needs-people-in-need-and-sev-5f560e1b}}
}

License

Released under CC BY 4.0.

Original data is published by OCHA South Sudan. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/ssd-jiaf-humanitarian-needs-pin-and-severity