electricsheepafrica/africa-zambia-crop-forecast-survey-2008-2009-e7dfee53

Crop Forecast Survey 2008_2009 | Africa (Zambia official open data)

3,003 rows - 1 Africa country - 2008-2023 - 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: Crop Forecast Survey 2008_2009
• Publisher: Zambia Statistics Agency
• Resource: Crop Forecast Survey 2008_2009
• Format: XLSX
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
ZMB	3,003	2008	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-124c25401ded0d:provincial: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.	Provincial
province	string	Source column.	Central
crop	string	Source column.	Maize
basal_used_mt	float64	Source column.	18201.16757
top_used_mt	float64	Source column.	19350.30136
area_planted_ha	float64	Source column.	188752.7200000001
area_harvested_ha	float64	Source column.	144704.36
expected_production_mt	float64	Source column.	399719.26142
expected_sales_mt	float64	Source column.	227387.88556
retained_for_seed_s_m_only_mt	float64	Source column.	3304.68274
source_period_start_year	Int64	First year inferred from source resource metadata.	2008
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.	2008-2023
source_provider	string	Publishing organization.	Zambia Statistics Agency
source_dataset	string	Source package title.	Crop Forecast Survey 2008_2009
source_resource	string	Source resource title.	Crop Forecast Survey 2008_2009
source_package_id	string	CKAN package UUID.	crop-forecast-survey-2008-2009-zamstats-media-124c25401ded0d
source_resource_id	string	CKAN resource UUID.	zamstats-media-124c25401ded0d
source_url	string	Original source resource URL.	https://www.zamstats.gov.zm/wp-content/uploads/2023/12/Crop-Forecast-Sur
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-22T09:43:48Z
district	string	Source column.	``
category	string	Source column.	``
quantity_harvested_raw_cassava_at_11_7mt_ha	float64	Source column.	``
flour_equivalent_25_extraction_rate	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-zambia-crop-forecast-survey-2008-2009-e7dfee53")
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_crop_forecast_survey_2008_2009_e7dfee53_2023,
  title        = {Crop Forecast Survey 2008_2009 | Africa (Zambia official open data)},
  author       = {Zambia Statistics Agency},
  year         = {2023},
  url          = {https://www.zamstats.gov.zm/crop-forecast-survey-2008_2009/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-zambia-crop-forecast-survey-2008-2009-e7dfee53}}
}

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/Crop-Forecast-Survey-2008_2009.xlsx