electricsheepafrica/africa-south-sudan-protection-in-danger-data-3c751a6f

Protection in Danger Data | Africa (Insecurity Insight)

106,800 rows - 1 Africa country/area - 2024-2026 - 12 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 106,800 rows from Insecurity Insight, covering Protection in Danger Data. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Labour and workforce datasets help analysts study employment, participation, skills, sectoral structure, and the movement of people through work and livelihoods.

Source-provided context: Resource covering 01 January 2020 to 20 July 2026 on threats and violence at IDP/Refugee Camps based on agency- and open source events. Categorised by country.

How To Read This Dataset

• —One row means: one indicator observation for one geography, time period, and optional source dimensions.
• —Primary geography column: country_iso3.
• —Best time column: year.
• —Time coverage basis: year.
• —Recommended join keys: country_iso3, year, indicator_id.

Coverage

Geographic Coverage

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

Indicators, Variables, Or Resource Contents

• —protection-in-danger-data-number-of-attacks-on-camps-reporting-destructi-316916fc - Protection in Danger Data - number of attacks on camps reporting destruction(sourceunitsunspecified)
• —protection-in-danger-data-number-of-attacks-on-camps-reporting-damaged-9a4fe23b - Protection in Danger Data - number of attacks on camps reporting damaged(sourceunitsunspecified)
• —protection-in-danger-data-camp-resident-killed-3d351066 - Protection in Danger Data - camp resident killed(sourceunitsunspecified)
• —protection-in-danger-data-camp-resident-injured-c131abc8 - Protection in Danger Data - camp resident injured(sourceunitsunspecified)
• —protection-in-danger-data-camp-residents-kidnapped-738f5d14 - Protection in Danger Data - camp residents kidnapped(sourceunitsunspecified)
• —protection-in-danger-data-camp-residents-arrested-320facb1 - Protection in Danger Data - camp residents arrested(sourceunitsunspecified)
• —protection-in-danger-data-camp-residents-targeted-with-crsv-22088cf2 - Protection in Danger Data - camp residents targeted with crsv(sourceunitsunspecified)
• —protection-in-danger-data-service-provider-killed-e44a23b6 - Protection in Danger Data - service provider killed(sourceunitsunspecified)
• —protection-in-danger-data-service-provider-kidnapped-43b5b480 - Protection in Danger Data - service provider kidnapped(sourceunitsunspecified)
• —protection-in-danger-data-service-provider-arrested-91adff90 - Protection in Danger Data - service provider arrested(sourceunitsunspecified)
• —protection-in-danger-data-service-provider-targeted-with-crsv-46bc0254 - Protection in Danger Data - service provider targeted with crsv(sourceunitsunspecified)
• —protection-in-danger-data-sind-id-8a188a49 - Protection in Danger Data - sind id(sourceunitsunspecified)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-protection-in-danger-data-3c751a6f")
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: 2020-2026 Protection in Danger Incident Data.xlsx
• —License: CC BY-SA 4.0
• —Retrieved/generated: 2026-08-10T18:20:34Z
• —Hugging Face repo: electricsheepafrica/africa-south-sudan-protection-in-danger-data-3c751a6f

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

• —Track workforce composition over time
• —Compare employment patterns across groups
• —Join with education, population, and sector data
• —Build time-series views and period-over-period comparisons
• —Pivot to geography x period or indicator x period matrices
• —Check missingness before modeling
• —Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_south_sudan_protection_in_danger_data_3c751a6f_2026,
  title        = {Protection in Danger Data | Africa (Insecurity Insight)},
  author       = {Insecurity Insight},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/sind-protection-in-danger-monthly-news-briefs-dataset},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-protection-in-danger-data-3c751a6f}}
}

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/sind-protection-in-danger-monthly-news-briefs-dataset