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Rural Ghanaian Cocoa Household Survey Data

Data Science and Analytics

Tags and Keywords

Ghana

Cocoa

Farmers

Rural

Economics

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Rural Ghanaian Cocoa Household Survey Data Dataset on Opendatabay data marketplace

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About

Detailed insights are provided into the socio-economic status and living conditions of rural cocoa farmers in Ghana. The data originates from a study conducted in 2024 and serves as a robust foundation for analysis related to agricultural policy, poverty reduction, and rural development initiatives. It covers a full spectrum of information including household demographics, economic activities, health indicators, and specific cocoa farming practices.

Columns

The data file contains 152 attributes, including unique identifiers and metrics describing the population surveyed. Key columns detail:
  • HH_ID: A unique identifier assigned to each household.
  • ResID: A unique identifier for each individual resident within the household records.
  • No_HHMem: The total count of household members.
  • RelaHHH: The relationship of the individual to the household head (e.g., Son or Daughter, Head).
  • MarStaHHH: The marital status of the household head (e.g., Single, Married).
  • SexHHH: The gender of the household head (Male or Female).
  • Age_hhh/AGEHHH: The age group and exact age of the household head.
  • HHH_EDU: The education level attained by the household head (e.g., Preschool/Primary, Middle School/JHS).
  • RelDenom: The religious denomination of the household (e.g., Pentecostals/Charismatic).
  • Other Metrics: Data points cover main occupation, migration status, household assets, dwelling characteristics, access to financial credit, health indicators (immunisation status, frequency of illness), and farming inputs/extension officer access.

Distribution

The dataset is provided in a tabular structure, typically in CSV format.
  • File Name: rural_cocoa_farmers.csv
  • File Size: 474.3 kB
  • Record Count: Approximately 386 records (households/residents).
  • Attribute Count: 152 columns.
  • Update Frequency: Expected to be updated annually.

Usage

This data is highly valuable for several fields of inquiry:
  • Agricultural Economics Research: Useful for understanding the livelihoods and challenges facing cocoa farmers, informing development planning.
  • Poverty and Livelihood Analysis: Enables detailed analysis of economic activities, household assets, and income structures for poverty alleviation studies.
  • Health and Well-being Studies: Informing research on public health needs, particularly related to rural populations and agricultural work.
  • Policy Development: Providing empirical evidence to guide policy and intervention strategies for rural Ghana.
  • Strategic Planning: Assisting organisations in planning initiatives for agricultural sustainability and rural development.

Coverage

The dataset focuses entirely on rural cocoa farmers in Ghana. The study was conducted in 2024, providing current information on socio-economic indicators. The scope includes detailed household and resident level data across demographics, economic activities, health, and living standards.

License

Attribution 4.0 International (CC BY 4.0)

Who Can Use It

Intended users include:
  • NGOs and Development Agencies: For identifying intervention needs and measuring program impact related to health, sanitation, or education.
  • Academic Researchers: For performing statistical analysis on poverty drivers, agricultural productivity, and demographic shifts in West Africa.
  • Government Policy Makers: For drafting targeted policies related to cocoa production, farmer welfare, and rural financial access.

Dataset Name Suggestions

  • Ghana Cocoa Farmer Socio-Economic Indicators 2024
  • Rural Ghanaian Cocoa Household Survey Data
  • West Africa Agricultural Livelihood Metrics
  • Cocoa Farmer Demographics and Well-being, Ghana

Attributes

Listing Stats

VIEWS

4

DOWNLOADS

0

LISTED

24/11/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format