electricsheepafrica/africa-zambia-provincial-gdp-2016-2021-at-current-prices-0753dde9

Provincial GDP 2016-2021 at current prices | Africa (Zambia official open data)

150 rows - 1 Africa country - 2016-2023 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Zambia 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: Provincial GDP 2016-2021 at current prices
• Publisher: Zambia Statistics Agency
• Resource: Provincial GDP 2016-2021 at current prices
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
ZMB	150	2016	2023	Zambia

Indicators or Resource Contents

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

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	zamstats-media-c429fbc04d5813:pgdp-2016:0
country_iso3	string	ISO3 country code.	ZMB
country_name	string	Country name.	Zambia
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	PGDP 2016
industry	string	Source column.	Agriculture, forestry and fishing
column_2	string	Source column.	``
central	float64	Source column.	2792.079855423231
copperbelt	float64	Source column.	2174.612443897482
eastern	float64	Source column.	1997.8957400086747
luapula	float64	Source column.	892.6336151585971
lusaka	float64	Source column.	673.9911841849364
muchinga	float64	Source column.	713.9282424107769
northern	float64	Source column.	1132.6519542230762
n_western	float64	Source column.	451.1487330670085
southern	float64	Source column.	2084.8183568863765
western	float64	Source column.	545.8433072995374
total	float64	Source column.	13459.603432559696
source_period_start_year	Int64	First year inferred from source resource metadata.	2016
source_period_end_year	Int64	Last year inferred from source resource metadata.	2023
source_period_label	string	Human-readable period inferred from source resource metadata.	2016-2023
source_provider	string	Publishing organization.	Zambia Statistics Agency
source_dataset	string	Source package title.	Provincial GDP 2016-2021 at current prices
source_resource	string	Source resource title.	Provincial GDP 2016-2021 at current prices
source_package_id	string	CKAN package UUID.	provincial-gdp-2016-2021-at-current-prices-zamstats-media-c429fbc04d5813
source_resource_id	string	CKAN resource UUID.	zamstats-media-c429fbc04d5813
source_url	string	Original source resource URL.	https://www.zamstats.gov.zm/wp-content/uploads/2023/12/Provincial-GDP-20
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-22T09:43:48Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-zambia-provincial-gdp-2016-2021-at-current-prices-0753dde9")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "ZMB"]

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_zambia_provincial_gdp_2016_2021_at_current_prices_0753dde9_2023,
  title        = {Provincial GDP 2016-2021 at current prices | Africa (Zambia official open data)},
  author       = {Zambia Statistics Agency},
  year         = {2023},
  url          = {https://www.zamstats.gov.zm/provincial-gdp-2016-2021-at-current-prices-2/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-zambia-provincial-gdp-2016-2021-at-current-prices-0753dde9}}
}

License

Released under Other open license.

Original data (c) Zambia Statistics Agency. 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://www.zamstats.gov.zm/wp-content/uploads/2023/12/Provincial-GDP-2016-2021-at-current-prices-1.xlsx