electricsheepafrica/africa-nigeria-socio-economic-survey-crop-2005-private-farmers-588df26c

SOCIO ECONOMIC SURVEY, CROP-2005 (PRIVATE FARMERS) | Africa (Nigeria official open data)

74 rows - 1 Africa country - 2006 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLS resource from Nigeria 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: SOCIO ECONOMIC SURVEY, CROP-2005 (PRIVATE FARMERS)
• Publisher: National Bureau of Statistics (Nbs), Central Bank of Nigeria (CBN)
• Resource: Socio Economic Survey-Crop Tables-2006
• Format: XLS
• License: Other open license
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
NGA	74	2006	2006	Nigeria

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.	nbs-nada-18-80:sheet1:0
country_iso3	string	ISO3 country code.	NGA
country_name	string	Country name.	Nigeria
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Sheet1
year	Int64	Observation year.	2006
state	string	Source column.	Abia
yes	int64	Source column.	209
no	int64	Source column.	20
yes_2	int64	Source column.	127
no_2	int64	Source column.	101
yes_3	int64	Source column.	4
no_3	int64	Source column.	223
yes_4	int64	Source column.	72
no_4	int64	Source column.	156
yes_5	int64	Source column.	1
no_5	int64	Source column.	227
yes_6	int64	Source column.	0
no_6	int64	Source column.	228
yes_7	int64	Source column.	0
no_7	int64	Source column.	228
source_period_start_year	Int64	First year inferred from source resource metadata.	2006
source_period_end_year	Int64	Last year inferred from source resource metadata.	2006
source_period_label	string	Human-readable period inferred from source resource metadata.	2006
source_provider	string	Publishing organization.	National Bureau of Statistics (Nbs), Central Bank of Nigeria (CBN)
source_dataset	string	Source package title.	SOCIO ECONOMIC SURVEY, CROP-2005 (PRIVATE FARMERS)
source_resource	string	Source resource title.	Socio Economic Survey-Crop Tables-2006
source_package_id	string	CKAN package UUID.	NGA-NBS-CBN-NCC-CROP-2005
source_resource_id	string	CKAN resource UUID.	nbs-nada-18-80
source_url	string	Original source resource URL.	https://microdata.nigerianstat.gov.ng/index.php/catalog/18/download/80
license_id	string	Source license identifier.	other-open
retrieved_at	string	UTC retrieval timestamp.	2026-07-19T04:13:01Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-nigeria-socio-economic-survey-crop-2005-private-farmers-588df26c")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "NGA"]

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_nigeria_socio_economic_survey_crop_2005_private_farmers_588df26c_2006,
  title        = {SOCIO ECONOMIC SURVEY, CROP-2005 (PRIVATE FARMERS) | Africa (Nigeria official open data)},
  author       = {National Bureau of Statistics (Nbs), Central Bank of Nigeria (CBN)},
  year         = {2006},
  url          = {https://microdata.nigerianstat.gov.ng/index.php/catalog/18/related-materials},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-nigeria-socio-economic-survey-crop-2005-private-farmers-588df26c}}
}

License

Released under Other open license.

Original data (c) National Bureau of Statistics (Nbs), Central Bank of Nigeria (CBN). 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 2026-07-19 via the Electric Sheep pipeline. Source URL: https://microdata.nigerianstat.gov.ng/index.php/catalog/18/download/80