electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-88961591

South Sudan Ssd Attacks On Aid Operations Education Health | Africa (Insecurity Insight)

22 rows - 1 Africa country/area - 2023 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 22 rows from Insecurity Insight, covering South Sudan Ssd Attacks On Aid Operations Education Health. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Health datasets help analysts monitor disease burden, service delivery, population health outcomes, and public-health program performance.

Source-provided context: Dataset contains reported incidents of violence against or obstruction of healthcare in South Sudan in 2023 identified by the Safeguarding Health in Conflict Coalition (SHCC) and cited in the report Critical Conditions. Read the factsheet

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	22
Countries/areas	1
First period	2023
Last period	2023
Indicators	0
Columns	43
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
SSD	22	2023	2023	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.	e56ef27e-c775-474e-9500-ed123c84ca8a:2023-ssd-shcc-health-care-data: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.	2023 SSD SHCC Health Care Data
date	string	Observation date.	2023-12-25 00:00:00
country	string	Source column from the original resource.	South Sudan
country_iso	string	Source column from the original resource.	SSD
reported_perpetrator	string	Source column from the original resource.	No Information
reported_perpetrator_name	string	Source column from the original resource.	Unidentified Armed Actor
weapon_carried_used	string	Source column from the original resource.	Firearms
number_of_attacks_on_health_facilities_reporting_destruc	double	Source column from the original resource.	0.0
number_of_attacks_on_health_facilities_reporting_damaged	double	Source column from the original resource.	0.0
forceful_entry_into_health_facility	double	Source column from the original resource.	0.0
occupation_of_health_facility	double	Source column from the original resource.	0.0
vicinity_of_health_facility_affected	double	Source column from the original resource.	0.0
health_transportation_destroyed	double	Source column from the original resource.	0.0
health_transportation_damaged	double	Source column from the original resource.	0.0
health_transportation_stolen_highjacked	double	Source column from the original resource.	0.0
looting_theft_robbery_burglary_of_health_supplies	double	Source column from the original resource.	0.0
obstruction_to_health_care	string	Source column from the original resource.	False
health_workers_killed	double	Source column from the original resource.	1.0
health_workers_injured	double	Source column from the original resource.	0.0
health_workers_kidnapped	double	Source column from the original resource.	0.0
health_workers_arrested	double	Source column from the original resource.	0.0
known_kidnapping_or_arrest_outcome	string	Source column from the original resource.	``
health_workers_threatened	double	Source column from the original resource.	0.0
health_workers_assaulted	double	Source column from the original resource.	0.0
health_workers_sexually_assaulted	double	Source column from the original resource.	0.0
reported_health_worker_profession	string	Source column from the original resource.	Nurse
sind_event_id	double	Source column from the original resource.	43182.0
source_period_start_year	int64	Start year inferred from source metadata.	2023
source_period_end_year	int64	End year inferred from source metadata.	2023
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2023
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Insecurity Insight
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	South Sudan (SSD): Attacks on Aid Operations, Education, Health Care,...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	2023 SSD SHCC Health Care Data.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	e1861491-f2c3-4eb2-b7a1-0391520b5b50
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	e56ef27e-c775-474e-9500-ed123c84ca8a
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/e1861491-f2c3-4eb2-b7a1-0391520b5b50...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by-sa
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-10T18:18:23Z
year	int64	Observation year.	``
citation	string	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-88961591")
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: Insecurity Insight
• Publisher: Insecurity Insight
• Portal: https://data.humdata.org
• Resource: 2023 SSD SHCC Health Care Data.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-10T18:18:37Z
• Hugging Face repo: electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-88961591

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

• Compare health outcomes across geographies
• Track changes over time
• Join with population or facility data
• 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_ssd_attacks_on_aid_operations_education_health_88_2023,
  title        = {South Sudan Ssd Attacks On Aid Operations Education Health | Africa (Insecurity Insight)},
  author       = {Insecurity Insight},
  year         = {2023},
  url          = {https://data.humdata.org/dataset/south-sudan-attacks-on-civilians-and-vital-civilian-facilities},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-south-sudan-ssd-attacks-on-aid-operations-education-health-88961591}}
}

License

Released under CC BY-SA 4.0.

Original data is published by Insecurity Insight. 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.

---

Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/south-sudan-attacks-on-civilians-and-vital-civilian-facilities