electricsheepafrica/africa-zambia-2025-final-national-release-calendar-revised-ba241d60

2025_FINAL NATIONAL RELEASE CALENDAR-REVISED | Africa (Zambia official open data)

120 rows - 1 Africa country - 2025-2026 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLS 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: 2025_FINAL NATIONAL RELEASE CALENDAR-REVISED
• Publisher: Zambia Statistics Agency
• Resource: 2025_FINAL NATIONAL RELEASE CALENDAR-REVISED
• Format: XLS
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
ZMB	120	2025	2026	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-fa922e405b96d5:2025-final: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.	2025 FINAL
column_1	float64	Source column.	0.0
statistical_product	string	Source column.	Consumer Price Index (CPI)
frequency	string	Source column.	Monthly
content_and_further_information	string	Source column.	Monthly data on consumer patterns and pricing of goods and services ever
jan	string	Source column.	30
feb	string	Source column.	27
mar	string	Source column.	27
apr	string	Source column.	24
may	string	Source column.	29
jun	string	Source column.	26
jul	string	Source column.	31
aug	string	Source column.	28
sep	string	Source column.	25
oct	string	Source column.	30
nov	string	Source column.	27
dec	string	Source column.	24
source_period_start_year	Int64	First year inferred from source resource metadata.	2025
source_period_end_year	Int64	Last year inferred from source resource metadata.	2026
source_period_label	string	Human-readable period inferred from source resource metadata.	2025-2026
source_provider	string	Publishing organization.	Zambia Statistics Agency
source_dataset	string	Source package title.	2025_FINAL NATIONAL RELEASE CALENDAR-REVISED
source_resource	string	Source resource title.	2025_FINAL NATIONAL RELEASE CALENDAR-REVISED
source_package_id	string	CKAN package UUID.	2025-final-national-release-calendar-revised-zamstats-media-fa922e405b96
source_resource_id	string	CKAN resource UUID.	zamstats-media-fa922e405b96d5
source_url	string	Original source resource URL.	https://www.zamstats.gov.zm/wp-content/uploads/2026/04/2025_FINAL-NATION
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-2025-final-national-release-calendar-revised-ba241d60")
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_2025_final_national_release_calendar_revised_ba241d60_2026,
  title        = {2025_FINAL NATIONAL RELEASE CALENDAR-REVISED | Africa (Zambia official open data)},
  author       = {Zambia Statistics Agency},
  year         = {2026},
  url          = {https://www.zamstats.gov.zm/2025_final-national-release-calendar-revised/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-zambia-2025-final-national-release-calendar-revised-ba241d60}}
}

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/2026/04/2025_FINAL-NATIONAL-RELEASE-CALENDAR-REVISED.xls