Datasetpublic

electricsheepafrica/africa-south-sudan-unicef-eastern-and-southern-africa-risks-and-hazards-situa-d16ff841

Unicef Eastern and Southern Africa Risks and Hazards Situa | Africa (UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)) 323 rows - 1 Africa country/area - 2020-2024 - 22 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 323 rows from UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive), covering Unicef Eastern and Southern Africa Risks and Hazards Situa. It is published as ML-ready Parquet with… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-unicef-eastern-and-southern-africa-risks-and-hazards-situa-d16ff841.

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Dataset Card

Unicef Eastern and Southern Africa Risks and Hazards Situa | Africa (UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive))

323 rows - 1 Africa country/area - 2020-2024 - 22 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 323 rows from UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive), covering Unicef Eastern and Southern Africa Risks and Hazards Situa. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: UNICEF Eastern and Southern Africa Risks and Hazards- situation, Oct 2020

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

Dimension	Value
Rows	323
Countries/areas	1
First period	2020
Last period	2024
Indicators	22
Columns	21
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
`SSD`	323	2020	2024	`South Sudan`

Indicators, Variables, Or Resource Contents

—unicef-eastern-and-southern-africa-risks-and-hazards-situation-people-in-23566a55 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - people in need(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-children-b6706735 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - children in need(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-people-to-0507fc25 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - people to be reached in 2020(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-children-b913a71f - UNICEF Eastern and Southern Africa Risks and Hazards- situation - children to be reached in 2020(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-people-fo-86503939 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - people food insecure ipc 3 or above(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-people-in-f4d4b40a - UNICEF Eastern and Southern Africa Risks and Hazards- situation - people in need of water(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-children-bec9a2cb - UNICEF Eastern and Southern Africa Risks and Hazards- situation - children needing water(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-children-acdc44d9 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - children with sam burden(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-children-e96c64c9 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - children out of school primary(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-cholera-a-15464551 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - cholera awd confirmed cases(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-malaria-c-3cdd59df - UNICEF Eastern and Southern Africa Risks and Hazards- situation - malaria cases cumulative(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-measles-c-ee96de1d - UNICEF Eastern and Southern Africa Risks and Hazards- situation - measles confirmed cases(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-ebola-con-a390edf4 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - ebola confirmed cases(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-floods-ho-cda87795 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - floods how many affected(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-number-of-b949ec07 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - number of refugees hosted(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-number-of-6552a4de - UNICEF Eastern and Southern Africa Risks and Hazards- situation - number of returnees(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-number-of-b6f1684d - UNICEF Eastern and Southern Africa Risks and Hazards- situation - number of idps(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-inform-ov-d7df2617 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - inform overall ranking 0 21(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-inform-ov-d08e6e04 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - inform overall risk rating 0 10(sourceunitsunspecified)
—unicef-eastern-and-southern-africa-risks-and-hazards-situation-inform-hu-04102211 - UNICEF Eastern and Southern Africa Risks and Hazards- situation - inform human hazard risk 0 10(sourceunitsunspecified)
—... 2 more indicators

Schema

Column	Type	Description	Example
`indicator_id`	`string`	Stable source or Electric Sheep Africa indicator identifier.	`unicef-eastern-and-southern-africa-risks-and-hazards-situation-people...`
`indicator_name`	`string`	Human-readable indicator name.	`UNICEF Eastern and Southern Africa Risks and Hazards- situation - peo...`
`country_iso3`	`string`	ISO3 country or area code.	`SSD`
`source_sheet`	`string`	Source column from the original resource.	`Situation`
`country_name`	`string`	Country or area name.	`South Sudan`
`year`	`int64`	Observation year.	`2020`
`value`	`double`	Numeric observation value.	`8400000.0`
`unit`	`string`	Measurement unit, when supplied by the source.	`source_units_unspecified`
`dimension_country`	`string`	Source dimension retained during long-form normalization.	`Ethiopia`
`dimension_other_diseases_specify`	`string`	Source dimension retained during long-form normalization.	`Poliomyelitis (cVDPV2)- 29`
`source_period_start_year`	`int64`	Start year inferred from source metadata.	`2020`
`source_period_end_year`	`int64`	End year inferred from source metadata.	`2020`
`source_period_label`	`dictionary<values=string, indices=int8, ordered=0>`	Source column from the original resource.	`2020`
`source_provider`	`dictionary<values=string, indices=int8, ordered=0>`	Publishing organization.	`UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)`
`source_dataset`	`dictionary<values=string, indices=int8, ordered=0>`	Source dataset or package title.	`UNICEF Eastern and Southern Africa Risks and Hazards- situation`
`source_resource`	`dictionary<values=string, indices=int8, ordered=0>`	Source resource title, table name, or file name.	`UNICEF ESARO Situation - Oct 2020.xlsx`
`source_package_id`	`dictionary<values=string, indices=int8, ordered=0>`	Source package identifier.	`aa62515c-54d3-4eb4-8ad5-514584b5272e`
`source_resource_id`	`dictionary<values=string, indices=int8, ordered=0>`	Source resource identifier.	`76b83130-f4e5-48c4-920b-081e156f1270`
`source_url`	`dictionary<values=string, indices=int8, ordered=0>`	Original source URL or download URL.	`https://data.humdata.org/dataset/aa62515c-54d3-4eb4-8ad5-514584b5272e...`
`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`

Usage

python

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-unicef-eastern-and-southern-africa-risks-and-hazards-situa-d16ff841")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python

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

Filter By Geography

python

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

Time-Series Pattern

python

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

Pivot For Analysis

python

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: UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)
—Publisher: UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)
—Portal: https://data.humdata.org
—Resource: UNICEF ESARO Situation - Oct 2020.xlsx
—License: CC BY 4.0
—Retrieved/generated: 2026-08-10T19:51:00Z
—Hugging Face repo: electricsheepafrica/africa-south-sudan-unicef-eastern-and-southern-africa-risks-and-hazards-situa-d16ff841

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

—Profile the distribution of values
—Compare categories or geographies
—Join with complementary public datasets
—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

bibtex

@misc{electric_sheep_africa_africa_south_sudan_unicef_eastern_and_southern_africa_risks_and_hazards_situa_d1_2024,
  title        = {Unicef Eastern and Southern Africa Risks and Hazards Situa | Africa (UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive))},
  author       = {UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)},
  year         = {2024},
  url          = {https://data.humdata.org/dataset/unicef-eastern-and-southern-africa-risks-and-hazards-situation},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-unicef-eastern-and-southern-africa-risks-and-hazards-situa-d16ff841}}
}

License

Released under CC BY 4.0.

Original data is published by UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive). 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/unicef-eastern-and-southern-africa-risks-and-hazards-situation