Datasets:

electricsheepafrica
/

cgap-smallholder-survey-nigeria-2016

language:
  - en
license: other
license_name: world-bank-microdata-terms
license_link: https://microdata.worldbank.org/index.php/terms-of-use
tags:
  - agriculture
  - financial-inclusion
  - survey-data
  - smallholder-farmers
  - africa
  - nigeria
  - tabular
pretty_name: CGAP Smallholder Survey - Nigeria 2016
size_categories:
  - 1K<n<10K
task_categories:
  - tabular-classification
  - tabular-regression

CGAP Smallholder Household Survey - Nigeria (2016)

Dataset Description

Nationally representative household survey of smallholder farming families in Nigeria, conducted by the Consultative Group to Assist the Poor (CGAP) in 2016.

Dataset Summary

Metric	Value
Country	Nigeria
Year	2016
Households Surveyed	~3,000
Total Records	10,927

Tables

Table	Rows	Columns	Description
`household`	3,026	272	Household-level characteristics
`single`	2,773	1,223	Single respondent detailed survey
`multiple`	5,128	471	Repeated measures (members, plots, livestock)

Usage

from datasets import load_dataset

# Load household-level data
household = load_dataset("YOUR_USERNAME/cgap-smallholder-nga", "household", split="train")

# Load single respondent data
single = load_dataset("YOUR_USERNAME/cgap-smallholder-nga", "single", split="train")

# Load multiple respondent data
multiple = load_dataset("YOUR_USERNAME/cgap-smallholder-nga", "multiple", split="train")

With Pandas

import pandas as pd
df = pd.read_parquet("hf://datasets/YOUR_USERNAME/cgap-smallholder-nga/household.parquet")

Features

The dataset covers:

Demographics: Household composition, age, gender, education levels
Agriculture: Crops cultivated, land holdings, livestock, farming practices
Financial Services: Bank accounts, mobile money usage, savings groups, credit access
Income & Expenditure: Income sources, consumption patterns
Assets: Household and productive assets
Shocks: Economic shocks and coping mechanisms

Documentation

Official CGAP User Guide

For detailed variable definitions, survey methodology, and questionnaire documentation, see the official CGAP user guide:

📖 Nigeria User Guide

Data Dictionary

This repository includes comprehensive data dictionaries with statistics for every variable:

DATA_DICTIONARY.md - Human-readable markdown format
data_dictionary.json - Machine-readable JSON format

The data dictionary includes for each variable:

Data type (numeric/categorical)
Non-null counts and missing value percentages
Value ranges (min, max, mean, median) for numeric columns
Unique value counts and distributions for categorical columns

Suggested ML Tasks

Financial inclusion prediction (binary classification)
Income/wealth classification
Household segmentation (clustering)
Agricultural productivity prediction
Vulnerability/poverty risk assessment

Source

Publisher: Consultative Group to Assist the Poor (CGAP)
Host: World Bank Microdata Library
URL: https://www.cgap.org/research/data/smallholder-families-data-hub

Citation

@misc{cgap_smallholder_nga_2016,
  title={CGAP Smallholder Families Household Survey - Nigeria},
  author={{Consultative Group to Assist the Poor}},
  year={2016},
  publisher={World Bank Microdata Library}
}

License

Subject to World Bank Microdata Library Terms of Use. Intended for research and educational purposes.