electricsheepafrica/africa-south-sudan-south-sudan-county-population-estimates-2008-2015-099d3dee

South Sudan County Population Estimates 2008 2015 | Africa (Drew University (inactive))

103 rows - 1 Africa country/area - 2008-2015 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 103 rows from Drew University (inactive), covering South Sudan County Population Estimates 2008 2015. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: County Populations for South Sudan compiled from multiple sources: WorldPop, LandScan, and the UN from 2008-2015.

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: not detected.
• Time coverage basis: source metadata.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	103
Countries/areas	1
First period	2008
Last period	2015
Indicators	0
Columns	41
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
SSD	103	2008	2015	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.	12d69d06-5422-4f77-bb22-c06b29c8dd54:county-population-estimates: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.	County Population Estimates
admin_2	string	Source column from the original resource.	Abiemnhom
admin2pcod	string	Source column from the original resource.	SS1302
admin2refn	string	Source column from the original resource.	Abiemnhom
admin_1	string	Source column from the original resource.	Unity
ss2008	double	Source column from the original resource.	17012.0
wp2010	double	Source column from the original resource.	22025.0
ls2011	double	Source column from the original resource.	19393.0
ls2012	double	Source column from the original resource.	21754.0
ls2013	double	Source column from the original resource.	23203.0
ls2014	double	Source column from the original resource.	24080.0
wp2015	double	Source column from the original resource.	31683.0
un2014	double	Source column from the original resource.	23369.0
ethiopia	double	Source column from the original resource.	0.0
uganda	double	Source column from the original resource.	0.0
idp_dec_3_2015	double	Source column from the original resource.	14217.0
internal_out_migration	double	Source column from the original resource.	11735.715071
refugees	double	Source column from the original resource.	0.0
net_migration	double	Source column from the original resource.	2481.284929
estimated_2015_population	double	Source column from the original resource.	25850.284929
popchange	double	Source column from the original resource.	0.106178481279
source_period_start_year	int64	Start year inferred from source metadata.	2008
source_period_end_year	int64	End year inferred from source metadata.	2015
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2008-2015
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Drew University (inactive)
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	South Sudan - County Population Estimates - 2008-2015
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	South Sudan - County Population Estimates.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	ad80f355-4c4e-430c-a550-76cb2a9bce1b
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	12d69d06-5422-4f77-bb22-c06b29c8dd54
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/ad80f355-4c4e-430c-a550-76cb2a9bce1b...
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
data_set_year	string	Source column from the original resource.	``
population_total	double	Source column from the original resource.	``
attribute	string	Source column from the original resource.	``
data_source	string	Source column from the original resource.	``
url	string	Source column from the original resource.	``
document	string	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-south-sudan-county-population-estimates-2008-2015-099d3dee")
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

• No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
• 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: Drew University (inactive)
• Publisher: Drew University (inactive)
• Portal: https://data.humdata.org
• Resource: South Sudan - County Population Estimates.xlsx
• License: CC BY 4.0
• Retrieved/generated: 2026-08-10T19:58:09Z
• Hugging Face repo: electricsheepafrica/africa-south-sudan-south-sudan-county-population-estimates-2008-2015-099d3dee

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

• Build demographic profiles
• Normalize indicators per capita
• Join with service-delivery datasets
• 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_county_population_estimates_2008_2015_099d3dee_2015,
  title        = {South Sudan County Population Estimates 2008 2015 | Africa (Drew University (inactive))},
  author       = {Drew University (inactive)},
  year         = {2015},
  url          = {https://data.humdata.org/dataset/south-sudan-county-population-estimates-2008-2015},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-south-sudan-county-population-estimates-2008-2015-099d3dee}}
}

License

Released under CC BY 4.0.

Original data is published by Drew University (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.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/south-sudan-county-population-estimates-2008-2015