electricsheepafrica/africa-zambia-crop-forecast-survey-2004-2005-78b1781b

Crop Forecast Survey 2004_2005 | Africa (Zambia official open data)

3,931 rows - 1 Africa country - 2004-2023 - 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 2004_2005
• Publisher: Zambia Statistics Agency
• Resource: Crop Forecast Survey 2004_2005
• Format: XLS
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
ZMB	3,931	2004	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-d2d050891acc5f:national-level: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.	National level
crop	string	Source column.	Maize
area_planted_ha	float64	Source column.	834981.0
area_harvested_ha	float64	Source column.	465832.38
expected_production_mt	float64	Source column.	866186.55
yield_mt_ha	float64	Source column.	1.0373727665659458
expected_sales_mt	float64	Source column.	349733.96
source_period_start_year	Int64	First year inferred from source resource metadata.	2004
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.	2004-2023
source_provider	string	Publishing organization.	Zambia Statistics Agency
source_dataset	string	Source package title.	Crop Forecast Survey 2004_2005
source_resource	string	Source resource title.	Crop Forecast Survey 2004_2005
source_package_id	string	CKAN package UUID.	crop-forecast-survey-2004-2005-zamstats-media-d2d050891acc5f
source_resource_id	string	CKAN resource UUID.	zamstats-media-d2d050891acc5f
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
category	string	Source column.	``
central	string	Source column.	``
d_130130	string	Source column.	``
d_73181_15	string	Source column.	``
d_204229_79	string	Source column.	``
d_4084595_8	string	Source column.	``
d_1_569428955659725	string	Source column.	``
d_31_388579113194496	string	Source column.	``
d_139881_14	string	Source column.	``
province	string	Source column.	``
district	string	Source column.	``
area_to_be_harvested_ha	float64	Source column.	``
production_mt	float64	Source column.	``
production_50kg_bags	float64	Source column.	``
yield_50kg_bags_ha	float64	Source column.	``
sales_mt	float64	Source column.	``
column_1	string	Source column.	``
prov_total	string	Source column.	``
column_3	string	Source column.	``
d_10585_91	float64	Source column.	``
d_8551_91	float64	Source column.	``
d_123855_147	float64	Source column.	``
d_30963_78675	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-zambia-crop-forecast-survey-2004-2005-78b1781b")
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_2004_2005_78b1781b_2023,
  title        = {Crop Forecast Survey 2004_2005 | Africa (Zambia official open data)},
  author       = {Zambia Statistics Agency},
  year         = {2023},
  url          = {https://www.zamstats.gov.zm/crop-forecast-survey-2004_2005/},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-zambia-crop-forecast-survey-2004-2005-78b1781b}}
}

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-2004_2005.xls