electricsheepafrica/africa-south-africa-income-and-expenditure-v2-2026-78eb4a16

Income and Expenditure (v2) - 2026 | Africa (South Africa official open data)

234,183 rows - 1 Africa country - 2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from South Africa as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Income and Expenditure (v2) - 2026
• Publisher: National Treasury, South Africa
• Resource: Income and Expenditure (v2) - 2026
• Format: CSV
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
ZAF	234,183	2026	2026	South Africa

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	Int64	Stable row identifier for tabular resources.	0
country_iso3	category	ISO3 country code.	ZAF
country_name	category	Country name.	South Africa
year	Int64	Observation year.	2026
demarcation_code	string	Source column.	KZN237
name	string	Source column.	Inkosi Langalibalele
code	int64	Source column.	2114
label	string	Source column.	Libraries and Archives
category_label	string	Source column.	Community and public safety
subcategory_label	string	Source column.	Community and social services
code_1	int64	Source column.	3100
label_1	string	Source column.	Employee related costs
position_in_return_form	float64	Source column.	30.0
return_form_structure	string	Source column.	line_item
composition	float64	Source column.	``
year_end	int64	Source column.	2026
length	string	Source column.	month
period	int64	Source column.	4
code_2	string	Source column.	ACT
label_2	string	Source column.	Actual
amount	float64	Source column.	658920.0
source_period_start_year	Int64	First year inferred from source resource metadata.	2026
source_period_end_year	Int64	Last year inferred from source resource metadata.	2026
source_period_label	category	Human-readable period inferred from source resource metadata.	2026
source_provider	category	Publishing organization.	National Treasury, South Africa
source_dataset	category	Source package title.	Income and Expenditure (v2) - 2026
source_resource	category	Source resource title.	Income and Expenditure (v2) - 2026
source_package_id	category	CKAN package UUID.	income-and-expenditure-v2-2026-municipal-money-8b89bbbe4119ef
source_resource_id	category	CKAN resource UUID.	municipal-money-8b89bbbe4119ef
source_url	category	Original source resource URL.	https://munimoney-media.s3.eu-west-1.amazonaws.com/munimoney-media/media
license_id	category	Source license identifier.	other-open
retrieved_at	category	UTC retrieval timestamp.	2026-07-22T19:51:34Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-africa-income-and-expenditure-v2-2026-78eb4a16")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "ZAF"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_south_africa_income_and_expenditure_v2_2026_78eb4a16_2026,
  title        = {Income and Expenditure (v2) - 2026 | Africa (South Africa official open data)},
  author       = {National Treasury, South Africa},
  year         = {2026},
  url          = {https://municipaldata.treasury.gov.za/docs#cube-incexp_v2},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-africa-income-and-expenditure-v2-2026-78eb4a16}}
}

License

Released under Other open license.

Original data (c) National Treasury, South Africa. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-07-22 via the Electric Sheep pipeline. Source URL: https://munimoney-media.s3.eu-west-1.amazonaws.com/munimoney-media/media/bulk_downloads/incexp_facts_v2/incexp_facts_v2_2026__2026-07-21_21-13-18.csv