electricsheepafrica/africa-south-africa-stats-sa-census-province-boundary-properties-b0bfbce9

Stats Sa Census Province Boundary Properties | Africa (Statistics South Africa)

9 rows - 1 Africa country/area - detected - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 9 rows from Statistics South Africa, covering Stats Sa Census Province Boundary Properties. 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: Feature properties and geometry JSON from the public Census dissemination map asset.

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: source_period_start_year.
• Time coverage basis: source_period_start_year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	9
Countries/areas	1
First period	detected
Last period	detected
Indicators	0
Columns	24
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
ZAF	9	detected	detected	South Africa

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	int64	Stable row identifier assigned during Electric Sheep Africa engineering.	0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	ZAF
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	South Africa
pr_mdb_c	string	Source column from the original resource.	EC
pr_code	int64	Source column from the original resource.	2
name	string	Source column from the original resource.	Eastern Cape
albers_are	double	Source column from the original resource.	168965.965104
shape_leng	double	Source column from the original resource.	28.2063810879
shape_area	double	Source column from the original resource.	16.1546670677
feature_id	double	Source column from the original resource.	``
geometry_type	string	Source column from the original resource.	Polygon
geometry_json	string	Source column from the original resource.	[[[29.02187000000231, -30.004429999999047], [29.024010000001, -30.005...
source_asset	string	Source column from the original resource.	https://dissemination-h8bde8dddqb0argt.z01.azurefd.net/assets/data/za...
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	null	Source column from the original resource.	``
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	Statistics South Africa
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Stats SA Census province boundary properties
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Stats SA Census province boundary properties
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	stats-sa-census-province-boundary-properties-stats-sa-census-e16bc382...
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	stats-sa-census-e16bc38266012b
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://dissemination-h8bde8dddqb0argt.z01.azurefd.net/assets/data/za...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	other-open
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-22T20:13:23Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-africa-stats-sa-census-province-boundary-properties-b0bfbce9")
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"] == "ZAF"]

Time-Series Pattern

if "value" in df.columns and "source_period_start_year" in df.columns:
    trend = df.sort_values("source_period_start_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: source_period_start_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: Statistics South Africa
• Publisher: Statistics South Africa
• Portal: https://census.statssa.gov.za
• Resource: Stats SA Census province boundary properties
• License: other-open
• Retrieved/generated: 2026-07-22T20:38:28Z
• Hugging Face repo: electricsheepafrica/africa-south-africa-stats-sa-census-province-boundary-properties-b0bfbce9

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
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_south_africa_stats_sa_census_province_boundary_properties_b0bfbce9_2026,
  title        = {Stats Sa Census Province Boundary Properties | Africa (Statistics South Africa)},
  author       = {Statistics South Africa},
  year         = {2026},
  url          = {https://census.statssa.gov.za},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-africa-stats-sa-census-province-boundary-properties-b0bfbce9}}
}

License

Released under other-open.

Original data is published by Statistics South Africa. 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://census.statssa.gov.za