electricsheepafrica/africa-zambia-cfs-2019-2020-14d84c2b

Cfs 2019 2020 | Africa (Zambia Statistics Agency)

4,938 rows - 1 Africa country/area - 2019-2024 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 4,938 rows from Zambia Statistics Agency, covering Cfs 2019 2020. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: CFS 2019_2020

How To Read This Dataset

• One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• Primary geography column: country_iso3.
• Best time column: not detected.
• Time coverage basis: source metadata.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	4,938
Countries/areas	1
First period	2019
Last period	2024
Indicators	0
Columns	37
Source format	XLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area	Rows	First year	Last year	Name
ZMB	4,938	2019	2024	Zambia

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	zamstats-media-ede3fd5c004a17:national-combined:0
country_iso3	string	ISO3 country or area code.	ZMB
country_name	string	Country or area name.	Zambia
source_sheet	string	Source column from the original resource.	National Combined
crop_type	string	Source column from the original resource.	White Maize (for grain)
area_planted_ha	double	Source column from the original resource.	1634872.7669127886
area_to_be_harvested_ha	double	Source column from the original resource.	1333519.062562239
quantity_expected_to_be_harvested_mt	double	Source column from the original resource.	3387469.567306331
yield_mt_ha	double	Source column from the original resource.	2.0720080705136814
source_period_start_year	int64	Start year inferred from source metadata.	2019
source_period_end_year	int64	End year inferred from source metadata.	2024
source_period_label	string	Source column from the original resource.	2019-2024
source_provider	string	Publishing organization.	Zambia Statistics Agency
source_dataset	string	Source dataset or package title.	CFS 2019_2020
source_resource	string	Source resource title, table name, or file name.	CFS 2019_2020
source_package_id	string	Source package identifier.	cfs-2019-2020-zamstats-media-ede3fd5c004a17
source_resource_id	string	Source resource identifier.	zamstats-media-ede3fd5c004a17
source_url	string	Original source URL or download URL.	https://www.zamstats.gov.zm/wp-content/uploads/2024/01/CFS-2019_2020....
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-22T09:43:48Z
province	string	Source column from the original resource.	``
hectares_planted_ha	double	Source column from the original resource.	``
expected_production_mt	double	Source column from the original resource.	``
crop	string	Source column from the original resource.	``
district	string	Source column from the original resource.	``
quantity_expected_to_be_harvested_ha	double	Source column from the original resource.	``
area_expected_to_be_harvested_ha	double	Source column from the original resource.	``
yield_rate_mt_ha	double	Source column from the original resource.	``
top_fertilizer_applied_mt	double	Source column from the original resource.	``
basal_fertilizer_applied_mt	double	Source column from the original resource.	``
hectares_planted	double	Source column from the original resource.	``
hectares_harvested	double	Source column from the original resource.	``
area_planted_expected_to_be_planted	double	Source column from the original resource.	``
quantity_expected_to_be_harvested	double	Source column from the original resource.	``
yield	double	Source column from the original resource.	``
top_mt	double	Source column from the original resource.	``
basal_mt	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-zambia-cfs-2019-2020-14d84c2b")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "ZMB"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
• Missing values are preserved rather than silently imputed.
• Column names are standardized for machine use; source meanings are preserved where known.
• Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• Source: Zambia Statistics Agency
• Publisher: Zambia Statistics Agency
• Portal: https://www.zamstats.gov.zm
• Resource: CFS 2019_2020
• License: other-open
• Retrieved/generated: 2026-07-22T09:45:07Z
• Hugging Face repo: electricsheepafrica/africa-zambia-cfs-2019-2020-14d84c2b

Transformations Applied

• Converted the source table to Parquet for efficient analytics and ML workflows.
• Added or preserved source provenance columns where available.
• Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• Preserved source-reported values without analytical imputation.

Suggested Analyses

• Profile the distribution of values
• Compare categories or geographies
• Join with complementary public datasets
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_zambia_cfs_2019_2020_14d84c2b_2024,
  title        = {Cfs 2019 2020 | Africa (Zambia Statistics Agency)},
  author       = {Zambia Statistics Agency},
  year         = {2024},
  url          = {https://www.zamstats.gov.zm/cfs-2019_2020/},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-zambia-cfs-2019-2020-14d84c2b}}
}

License

Released under other-open.

Original data is published by Zambia Statistics Agency. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://www.zamstats.gov.zm/cfs-2019_2020/