electricsheepafrica/africa-south-africa-aged-debtor-analysis-v2-2023-9db1de9c

Aged Debtor Analysis V2 2023 | Africa (National Treasury, South Africa)

517,321 rows - 1 Africa country/area - 2023-2026 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 517,321 rows from National Treasury, South Africa, covering Aged Debtor Analysis V2 2023. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: aged_debtor_facts_v2 bulk CSV group 2023.

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	517,321
Countries/areas	1
First period	2023
Last period	2026
Indicators	0
Columns	38
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
ZAF	517,321	2023	2026	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
demarcation_code	string	Source column from the original resource.	DC43
name	string	Source column from the original resource.	Harry Gwala
code	double	Source column from the original resource.	2303.0
code_1	int64	Source column from the original resource.	1810
label	string	Source column from the original resource.	Interest on Arrear Debtor Accounts
position_in_return_form	int64	Source column from the original resource.	8
return_form_structure	string	Source column from the original resource.	line_item
composition	string	Source column from the original resource.	``
year_end	int64	Source column from the original resource.	2023
length	string	Source column from the original resource.	month
period	int64	Source column from the original resource.	2
code_2	string	Source column from the original resource.	ACT
label_1	string	Source column from the original resource.	Actual
actual_bad_debts_written_off_to_debtors	int64	Source column from the original resource.	0
impairment_bad_debts_i_t_o_council_policy	int64	Source column from the original resource.	0
over_1_year	int64	Source column from the original resource.	0
d_181_days_1_year	int64	Source column from the original resource.	288
d_91_120_days	int64	Source column from the original resource.	398
d_121_150_days	int64	Source column from the original resource.	98
d_151_180_days	int64	Source column from the original resource.	1090
d_30_days_and_below	int64	Source column from the original resource.	322
d_31_60_days	int64	Source column from the original resource.	45
d_61_90_days	int64	Source column from the original resource.	191
total	int64	Source column from the original resource.	2432
source_period_start_year	int64	Start year inferred from source metadata.	2023
source_period_end_year	int64	End year inferred from source metadata.	2026
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2023-2026
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	National Treasury, South Africa
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Aged Debtor Analysis (v2) - 2023
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Aged Debtor Analysis (v2) - 2023
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	aged-debtor-analysis-v2-2023-municipal-money-e0823d281ab13f
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	municipal-money-e0823d281ab13f
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://munimoney-media.s3.eu-west-1.amazonaws.com/munimoney-media/me...
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.	2026-07-22T19:07:15Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-africa-aged-debtor-analysis-v2-2023-9db1de9c")
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 "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: National Treasury, South Africa
• Publisher: National Treasury, South Africa
• Portal: https://municipaldata.treasury.gov.za
• Resource: Aged Debtor Analysis (v2) - 2023
• License: other-open
• Retrieved/generated: 2026-07-22T19:10:33Z
• Hugging Face repo: electricsheepafrica/africa-south-africa-aged-debtor-analysis-v2-2023-9db1de9c

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 time-series dashboards
• Compare economic indicators
• Join with population or sector data
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_south_africa_aged_debtor_analysis_v2_2023_9db1de9c_2026,
  title        = {Aged Debtor Analysis V2 2023 | Africa (National Treasury, South Africa)},
  author       = {National Treasury, South Africa},
  year         = {2026},
  url          = {https://municipaldata.treasury.gov.za/docs#cube-aged_debtor_v2},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-africa-aged-debtor-analysis-v2-2023-9db1de9c}}
}

License

Released under other-open.

Original data is published by National Treasury, 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://municipaldata.treasury.gov.za/docs#cube-aged_debtor_v2