electricsheepafrica/africa-south-africa-aged-debtor-analysis-2019-9225780c

Aged Debtor Analysis - 2019 | Africa (South Africa official open data)

271,647 rows - 1 Africa country - 2019-2023 - 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: Aged Debtor Analysis - 2019
• Publisher: National Treasury, South Africa
• Resource: Aged Debtor Analysis - 2019
• Format: CSV
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
ZAF	271,647	2019	2023	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
demarcation_code	string	Source column.	BUF
period_code	string	Source column.	2019M01
customer_group_code	float64	Source column.	``
item_code	int64	Source column.	1100
bad_amount	float64	Source column.	0.0
badi_amount	float64	Source column.	0.0
g1_amount	float64	Source column.	0.0
l1_amount	float64	Source column.	0.0
l120_amount	float64	Source column.	0.0
l150_amount	float64	Source column.	0.0
l180_amount	float64	Source column.	0.0
l30_amount	float64	Source column.	0.0
l60_amount	float64	Source column.	0.0
l90_amount	float64	Source column.	0.0
total_amount	float64	Source column.	0.0
id	int64	Source column.	7180569
financial_year	int64	Source column.	2019
period_length	string	Source column.	month
financial_period	int64	Source column.	1
amount_type_code	string	Source column.	ACT
source_period_start_year	Int64	First year inferred from source resource metadata.	2019
source_period_end_year	Int64	Last year inferred from source resource metadata.	2023
source_period_label	category	Human-readable period inferred from source resource metadata.	2019-2023
source_provider	category	Publishing organization.	National Treasury, South Africa
source_dataset	category	Source package title.	Aged Debtor Analysis - 2019
source_resource	category	Source resource title.	Aged Debtor Analysis - 2019
source_package_id	category	CKAN package UUID.	aged-debtor-analysis-2019-municipal-money-2f9a89227bfa52
source_resource_id	category	CKAN resource UUID.	municipal-money-2f9a89227bfa52
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.	2026-07-22T19:07:15Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-africa-aged-debtor-analysis-2019-9225780c")
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_aged_debtor_analysis_2019_9225780c_2023,
  title        = {Aged Debtor Analysis - 2019 | Africa (South Africa official open data)},
  author       = {National Treasury, South Africa},
  year         = {2023},
  url          = {https://municipaldata.treasury.gov.za/docs#cube-aged_debtor},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-africa-aged-debtor-analysis-2019-9225780c}}
}

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/aged_debtor_facts_v1/aged_debtor_facts_v1_2019__2023-09-01.csv