electricsheepafrica/africa-zambia-cfs-2017-2018-60e02bb8

Cfs 2017 2018 | Africa (Zambia Statistics Agency)

11,504 rows - 1 Africa country/area - 2017-2023 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 11,504 rows from Zambia Statistics Agency, covering Cfs 2017 2018. 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 2017_2018

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	11,504
Countries/areas	1
First period	2017
Last period	2023
Indicators	0
Columns	145
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
ZMB	11,504	2017	2023	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-95a029ec6ca134:national-2017-vs-2018:0
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 2017 vs 2018
crop	string	Source column from the original resource.	Maize
2016	double	Source column from the original resource.	1644740.675430921
2017	double	Source column from the original resource.	1392545.5135298872
change	double	Source column from the original resource.	-15.33343010653996
2016_2	double	Source column from the original resource.	1433943.587512985
2017_2	double	Source column from the original resource.	1086006.1816555576
change_2	double	Source column from the original resource.	-24.26437196604687
2016_3	double	Source column from the original resource.	3606548.998120436
2017_3	double	Source column from the original resource.	2394906.98443598
change_3	double	Source column from the original resource.	-33.59560661219096
2016_4	double	Source column from the original resource.	2.192776680235942
2017_4	double	Source column from the original resource.	1.71980517776059
change_4	double	Source column from the original resource.	-21.569524463588348
2016_5	double	Source column from the original resource.	1969992.779130115
2017_5	double	Source column from the original resource.	1106029.2894382132
change_5	double	Source column from the original resource.	-43.85617545630802
2016_6	double	Source column from the original resource.	149711.61911610182
2017_6	double	Source column from the original resource.	104734.81309518318
change_6	double	Source column from the original resource.	-30.04229483754296
2016_7	double	Source column from the original resource.	157365.4203780237
2017_7	double	Source column from the original resource.	109939.66704669144
change_7	double	Source column from the original resource.	-30.137340984700437
source_period_start_year	int64	Start year inferred from source metadata.	2017
source_period_end_year	int64	End year inferred from source metadata.	2023
source_period_label	string	Source column from the original resource.	2017-2023
source_provider	string	Publishing organization.	Zambia Statistics Agency
source_dataset	string	Source dataset or package title.	CFS 2017_2018
source_resource	string	Source resource title, table name, or file name.	CFS 2017_2018
source_package_id	string	Source package identifier.	cfs-2017-2018-zamstats-media-95a029ec6ca134
source_resource_id	string	Source resource identifier.	zamstats-media-95a029ec6ca134
source_url	string	Original source URL or download URL.	https://www.zamstats.gov.zm/wp-content/uploads/2023/12/CFS-2017_2018....
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.	``
district	string	Source column from the original resource.	``
maize	string	Source column from the original resource.	``
d_1392545_5135298872	double	Source column from the original resource.	``
d_1086006_1816555576	double	Source column from the original resource.	``
d_2394906_9844359797	double	Source column from the original resource.	``
d_1_71980517776059	double	Source column from the original resource.	``
d_1106029_2894382132	double	Source column from the original resource.	``
d_104734_81309518318	double	Source column from the original resource.	``
d_109939_66704669144	double	Source column from the original resource.	``
central	string	Source column from the original resource.	``
d_238324_56075296624	double	Source column from the original resource.	``
d_179645_7407855041	double	Source column from the original resource.	``
d_466876_6067052664	double	Source column from the original resource.	``
d_252207_51408353844	double	Source column from the original resource.	``
d_22991_70450166103	double	Source column from the original resource.	``
d_23927_043797381368	double	Source column from the original resource.	``
chibombo	string	Source column from the original resource.	``
d_77294_64014452366	double	Source column from the original resource.	``
d_55640_83267995622	double	Source column from the original resource.	``
d_144180_6556127024	double	Source column from the original resource.	``
d_70188_54038117379	double	Source column from the original resource.	``
d_6367_842251118331	double	Source column from the original resource.	``
d_6891_171252416822	double	Source column from the original resource.	``
d_6_090215048016971	double	Source column from the original resource.	``
d_1359604_5085349397	double	Source column from the original resource.	``
d_1055054_81631432	double	Source column from the original resource.	``
d_2290076_295602068	double	Source column from the original resource.	``
d_1_8718035621828362	double	Source column from the original resource.	``
d_1032367_8214869187	double	Source column from the original resource.	``
d_98003_97803805297	double	Source column from the original resource.	``
d_103040_85385947056	double	Source column from the original resource.	``
d_101482_84059306857	double	Source column from the original resource.	``
d_1330914_1287765484	double	Source column from the original resource.	``
d_0	double	Source column from the original resource.	``
d_225347_94435869437	double	Source column from the original resource.	``
d_167304_29905234766	double	Source column from the original resource.	``
d_427961_21460971306	double	Source column from the original resource.	``
d_1_9462203558438564	double	Source column from the original resource.	``
d_228578_36979990258	double	Source column from the original resource.	``
d_19818_615596746982	double	Source column from the original resource.	``
d_20873_87897516105	double	Source column from the original resource.	``
d_15035_076418001541	double	Source column from the original resource.	``
d_177424_96456825413	double	Source column from the original resource.	``
d_47163_47599358271	double	Source column from the original resource.	``
d_74336_47558756162	double	Source column from the original resource.	``
d_52919_5510343866	double	Source column from the original resource.	``
d_131393_5037139682	double	Source column from the original resource.	``
d_66820_31253307253	double	Source column from the original resource.	``
d_5757_829592890483	double	Source column from the original resource.	``
d_6305_734543556063	double	Source column from the original resource.	``
white_maize_for_grain	string	Source column from the original resource.	``
d_32941_00499493096	double	Source column from the original resource.	``
d_30951_36534122745	double	Source column from the original resource.	``
d_104830_68883389287	double	Source column from the original resource.	``
d_73661_46795128775	double	Source column from the original resource.	``
d_6730_835057130915	double	Source column from the original resource.	``
d_6898_813187221507	double	Source column from the original resource.	``
d_960_7936843964515	double	Source column from the original resource.	``
d_8_876121538386926	double	Source column from the original resource.	``
d_12976_61639427198	double	Source column from the original resource.	``
d_12341_441733156431	double	Source column from the original resource.	``
d_38915_392095552794	double	Source column from the original resource.	``
d_2_9612501439667183	double	Source column from the original resource.	``
d_23629_144283635997	double	Source column from the original resource.	``
d_3173_088904913974	double	Source column from the original resource.	``
d_3053_1648222202643	double	Source column from the original resource.	``
d_1_province	string	Source column from the original resource.	``
d_2_district	string	Source column from the original resource.	``
d_2958_1645569620273	double	Source column from the original resource.	``
d_2721_281645569621	double	Source column from the original resource.	``
d_12787_151898734179	double	Source column from the original resource.	``
d_3_518150843194462	double	Source column from the original resource.	``
d_3368_227848101266	double	Source column from the original resource.	``
d_610_0126582278482	double	Source column from the original resource.	``
d_585_4367088607596	double	Source column from the original resource.	``
category	string	Source column from the original resource.	``
ls	string	Source column from the original resource.	``
d_4_322664156272062	double	Source column from the original resource.	``
d_12976_616394272005	double	Source column from the original resource.	``
d_12341_441733156455	double	Source column from the original resource.	``
d_38915_39209555286	double	Source column from the original resource.	``
d_23629_14428363602	double	Source column from the original resource.	``
d_3173_0889049139787	double	Source column from the original resource.	``
d_3053_1648222202675	double	Source column from the original resource.	``
d_3_355027307878581	double	Source column from the original resource.	``
d_32941_00499493097	double	Source column from the original resource.	``
d_30951_365341227418	double	Source column from the original resource.	``
d_104830_6888338928	double	Source column from the original resource.	``
d_73661_4679512877	double	Source column from the original resource.	``
d_6730_83505713091	double	Source column from the original resource.	``
d_6898_813187221497	double	Source column from the original resource.	``
d_3_175790560666231	double	Source column from the original resource.	``
d_9894_525855595357	double	Source column from the original resource.	``
d_2118_0047129700883	double	Source column from the original resource.	``
d_20863_60666639511	double	Source column from the original resource.	``
d_115765_95251046568	double	Source column from the original resource.	``
d_28941_48812761642	double	Source column from the original resource.	``
copperbelt	string	Source column from the original resource.	``
chililabombwe	string	Source column from the original resource.	``
d_14_050653868840355	double	Source column from the original resource.	``
d_4_7936245612627815	double	Source column from the original resource.	``
d_164_39265026543214	double	Source column from the original resource.	``
d_41_098162566358035	double	Source column from the original resource.	``
d_9992_529924311451	double	Source column from the original resource.	``
d_2216_0087816861824	double	Source column from the original resource.	``
d_116912_60011444398	double	Source column from the original resource.	``
d_29228_150028610995	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-zambia-cfs-2017-2018-60e02bb8")
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 2017_2018
• License: other-open
• Retrieved/generated: 2026-07-22T09:45:32Z
• Hugging Face repo: electricsheepafrica/africa-zambia-cfs-2017-2018-60e02bb8

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_2017_2018_60e02bb8_2023,
  title        = {Cfs 2017 2018 | Africa (Zambia Statistics Agency)},
  author       = {Zambia Statistics Agency},
  year         = {2023},
  url          = {https://www.zamstats.gov.zm/cfs-2017_2018/},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-zambia-cfs-2017-2018-60e02bb8}}
}

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.

---

Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://www.zamstats.gov.zm/cfs-2017_2018/