electricsheepafrica/africa-zambia-crop-forecast-survey-2003-2004-178c3dca

Crop Forecast Survey 2003_2004 | Africa (Zambia official open data)

1,171 rows - 1 Africa country - 2003-2023 - 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: Crop Forecast Survey 2003_2004
• Publisher: Zambia Statistics Agency
• Resource: Crop Forecast Survey 2003_2004
• Format: XLS
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
ZMB	1,171	2003	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-7d89e052c6a12d:district: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.	District
national	string	Source column.	Cotton
d_8327_65	float64	Source column.	``
d_8002_900000000001	float64	Source column.	``
d_9495166_52	float64	Source column.	``
d_9495_166519999999	float64	Source column.	``
d_1140_197597161264	float64	Source column.	``
d_1_140197597161264	float64	Source column.	``
d_9486955_979999999	float64	Source column.	``
d_9584_955979999999	float64	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2003
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.	2003-2023
source_provider	string	Publishing organization.	Zambia Statistics Agency
source_dataset	string	Source package title.	Crop Forecast Survey 2003_2004
source_resource	string	Source resource title.	Crop Forecast Survey 2003_2004
source_package_id	string	CKAN package UUID.	crop-forecast-survey-2003-2004-zamstats-media-7d89e052c6a12d
source_resource_id	string	CKAN resource UUID.	zamstats-media-7d89e052c6a12d
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
copperbelt	string	Source column.	``
d_43_935	float64	Source column.	``
d_37_675	float64	Source column.	``
d_204_77380000000002	string	Source column.	``
d_10_23869	float64	Source column.	``
d_4_660835324911802	string	Source column.	``
d_0_23304176624559006	float64	Source column.	``
d_52_571000000000005	string	Source column.	``
d_2_62855	float64	Source column.	``
d_373_4819461858024	float64	Source column.	``
d_730_1978632769599	float64	Source column.	``
cowpeas	string	Source column.	``
d_8485_851	string	Source column.	``
d_7063_111000000001	string	Source column.	``
d_58149_068	string	Source column.	``
d_2907_4534	float64	Source column.	``
d_6_852473370083919	string	Source column.	``
d_0_34262366850419596	float64	Source column.	``
d_16857_246	string	Source column.	``
d_842_8623	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-zambia-crop-forecast-survey-2003-2004-178c3dca")
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_2003_2004_178c3dca_2023,
  title        = {Crop Forecast Survey 2003_2004 | Africa (Zambia official open data)},
  author       = {Zambia Statistics Agency},
  year         = {2023},
  url          = {https://www.zamstats.gov.zm/crop-forecast-survey-2003_2004/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-zambia-crop-forecast-survey-2003-2004-178c3dca}}
}

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-2003_2004.xls