electricsheepafrica/africa-south-sudan-south-sudan-poverty-bfc82a60

South Sudan Poverty | Africa (World Bank Group)

42 rows - 1 Africa country/area - 2002-2022 - 1 indicator - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 42 rows from World Bank Group, covering South Sudan Poverty. 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: csv containing Poverty indicators Indicators: Gini index, Income share held by fourth 20%, Income share held by highest 10%, Income share held by highest 20%, Income share held by lowest 10%, Income share held by lowest 20%, Income share held by second 20%, Income share held by third 20%, Population living in slums, Poverty gap at $3.00 a day, Poverty gap at $4.20 a day, Poverty gap at $8.30 a day, Poverty headcount ratio at $3.00 a day, Poverty headcount ratio at $4.20 a day, Poverty headcount ratio at $8.30 a day, Poverty headcount ratio at national poverty lines, Proportion of people living below 50 percent of median income

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	42
Countries/areas	1
First period	2002
Last period	2022
Indicators	1
Columns	22
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
SSD	42	2002	2022	South Sudan

Indicators, Variables, Or Resource Contents

• south-sudan-poverty-95073d66 - South Sudan - Poverty(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	south-sudan-poverty-95073d66
indicator_name	string	Human-readable indicator name.	South Sudan - Poverty
country_iso3	string	ISO3 country or area code.	SSD
country_name	string	Country or area name.	South Sudan
year	int64	Observation year.	2022
value	double	Numeric observation value.	94.2
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_country_name	string	Source dimension retained during long-form normalization.	South Sudan
dimension_country_iso3	string	Source dimension retained during long-form normalization.	SSD
dimension_indicator_name	string	Source dimension retained during long-form normalization.	Population living in slums (% of urban population)
dimension_indicator_code	string	Source dimension retained during long-form normalization.	EN.POP.SLUM.UR.ZS
source_period_start_year	int64	Start year inferred from source metadata.	1990
source_period_end_year	int64	End year inferred from source metadata.	1990
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	1990
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	World Bank Group
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	South Sudan - Poverty
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Poverty Indicators for South Sudan
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	2c1a5a88-ecfc-4964-a7e6-5ff2467e5d22
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	ef610247-d438-4560-bbbe-bf78e5438083
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/2c1a5a88-ecfc-4964-a7e6-5ff2467e5d22...
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

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-south-sudan-poverty-bfc82a60")
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: World Bank Group
• Publisher: World Bank Group
• Portal: https://data.humdata.org
• Resource: Poverty Indicators for South Sudan
• License: CC BY 4.0
• Retrieved/generated: 2026-08-10T19:00:34Z
• Hugging Face repo: electricsheepafrica/africa-south-sudan-south-sudan-poverty-bfc82a60

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

@misc{electric_sheep_africa_africa_south_sudan_south_sudan_poverty_bfc82a60_2022,
  title        = {South Sudan Poverty | Africa (World Bank Group)},
  author       = {World Bank Group},
  year         = {2022},
  url          = {https://data.humdata.org/dataset/world-bank-poverty-indicators-for-south-sudan},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-south-sudan-poverty-bfc82a60}}
}

License

Released under CC BY 4.0.

Original data is published by World Bank Group. 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/world-bank-poverty-indicators-for-south-sudan