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The Ghana Agricultural Production Survey, 2012 Minor Season

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title The Ghana Agricultural Production Survey, 2012 Minor Season
 
Identifier https://doi.org/10.7910/DVN/26623
 
Creator Statistics, Research and Information Directorate (SRID)
 
Publisher Harvard Dataverse
 
Description The Ghana Agriculture Production Survey (GAPS) undertaken by the Statistics, Research and Information Directorate (SRID) of the Ministry of Food and Agriculture is designed to provide data on community amenities, characteristics of farm families, utilization of land, use of inputs, outputs of major agricultural commodities, post-farm activities, household incomes, health of farm families, and health of farm animals on an annual basis. A three stage multi-sampling design was used for the pilot minor season survey. The survey also used clustering and stratificatio
n approach for the design. The first stage involved a random selection of two districts for each region of Ghana. The metropolitan districts, such as Accra and municipal districts were excluded. The second stage involved a random selection of 40 enumeration areas (EAs) for each selected district and at the third stage 10 farm holders from every selected EA were targeted for selection. Nonetheless, as a result of the work load and human resource issues, the sample size was reduced to 5 holders per EA. The survey has sampling weights to account for the differential probability of inclusion of districts into the sample for the season. There is a limited extent to which results at the household and holder levels can be generalized beyond the sample characteristics. This is because the sampling weights do not account for the unequal probability of inclusion for household and farm holders.
 
Subject Productivity
Agriculture
Land use
Farm inputs
Income
Health
Livestock
Agricultural products
Smallholders
Multi-Round Annual Crop and Livestock Survey (MRACLS) System
 
Date 2013
 
Type Sample Survey Data (SSD)