electricsheepafrica/africa-south-sudan-south-sudan-energy-and-mining-9a3f4228

South Sudan Energy and Mining | Africa (World Bank Group)

395 rows - 1 Africa country/area - 1970-2024 - 1 indicator - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 395 rows from World Bank Group, covering South Sudan Energy and Mining. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Energy datasets help analysts study supply, demand, prices, generation, access, and the infrastructure behind economic activity.

Source-provided context: csv containing Energy and Mining indicators Indicators: Access to electricity, Adjusted savings, Alternative and nuclear energy, Combustible renewables and waste, Electric power consumption, Electric power transmission and distribution losses, Electricity production from coal sources, Electricity production from hydroelectric sources, Electricity production from natural gas sources, Electricity production from nuclear sources, Electricity production from oil, Electricity production from oil sources, Electricity production from renewable sources, Energy imports, Energy intensity level of primary energy, Energy use, Firms using banks to finance investment, Fossil fuel energy consumption, GDP per unit of energy use, Investment in energy with private participation, Mineral rents, Natural gas rents, Oil rents, Renewable electricity output, Renewable energy consumption, Time to obtain an electrical connection, Total natural resources rents, Value lost due to electrical outages

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	395
Countries/areas	1
First period	1970
Last period	2024
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	395	1970	2024	South Sudan

Indicators, Variables, Or Resource Contents

• south-sudan-energy-and-mining-32e6ebfe - South Sudan - Energy and Mining(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	south-sudan-energy-and-mining-32e6ebfe
indicator_name	string	Human-readable indicator name.	South Sudan - Energy and Mining
country_iso3	string	ISO3 country or area code.	SSD
country_name	string	Country or area name.	South Sudan
year	int64	Observation year.	2021
value	double	Numeric observation value.	5.88
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.	Energy intensity level of primary energy (MJ/$2021 PPP GDP)
dimension_indicator_code	string	Source dimension retained during long-form normalization.	EG.EGY.PRIM.PP.KD
source_period_start_year	int64	Start year inferred from source metadata.	``
source_period_end_year	int64	End year inferred from source metadata.	``
source_period_label	string	Source column from the original resource.	``
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 - Energy and Mining
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Energy and Mining Indicators for South Sudan
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	fdb9e3e5-bcc9-4499-966f-bbc30c05c7bd
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	e5096280-4578-4aab-a2bf-8eede3a31c20
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/fdb9e3e5-bcc9-4499-966f-bbc30c05c7bd...
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-energy-and-mining-9a3f4228")
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: Energy and Mining Indicators for South Sudan
• License: CC BY 4.0
• Retrieved/generated: 2026-08-10T18:53:47Z
• Hugging Face repo: electricsheepafrica/africa-south-sudan-south-sudan-energy-and-mining-9a3f4228

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 supply or price trends
• Compare energy sources
• Join with population, industry, or emissions 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_south_sudan_energy_and_mining_9a3f4228_2024,
  title        = {South Sudan Energy and Mining | Africa (World Bank Group)},
  author       = {World Bank Group},
  year         = {2024},
  url          = {https://data.humdata.org/dataset/world-bank-energy-and-mining-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-energy-and-mining-9a3f4228}}
}

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.

---

Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/world-bank-energy-and-mining-indicators-for-south-sudan