Survey data on key climate and environmental drivers of farmers’ migration in Burkina Faso, West Africa

Safiétou Sanfo,M William Fonta,Ibrahim Boubacar,P.A John Lamers

doi:10.1016/j.dib.2016.11.001

Abstract

This article describes two datasets generated from various sources in south western Burkina Faso to identify the key climate and environmental drivers that cause farmers to migrate. The survey sampling is random but reasoned and rational. The first dataset from 367 farm households11100 interviewed households, and 10 Focus Group Discussions comprising 267 farmers. contains data on farmers’ perception of climate change risks or hazards, their impacts on farmland productivity and farm households’ risk management strategies. The second dataset from 58 farm households contains data on agricultural practices, environmental changes, and environmental migration. Three supplemental Excel sheets show the results of the surveys. Details on the sample as well as further interpretation and discussion of the surveys are available in the associated research article (‘Field Facts for Crop Insurance Design: Empirical Evidence from South Western Burkina Faso’ (W. M. Fonta, S. Sanfo, B. Ibrahim, B. Barry, 2015) [1]).

Highlights

Survey data on key climate and environmental drivers of farmers’ migration in Burkina Faso, West Africa
This article describes two datasets generated from various sources in south western Burkina Faso to identify the key climate and environmental drivers that cause farmers to migrate
Findings from the dataset are included. Analyses of these data allow for comparisons between this sample and parallel samples in other similar studies elsewhere, namely in other West African countries

Summary

Data accessibility

Raw, analyzed The selected farm household have more than twenty years’ farming experience and are indigenous or migrant farmers. The key variables in farm households’ perception of climate risk and environmental changes as well as key environmental variables that cause farmer to migrate were captured through semistructured interviews, life histories and focus group discussions. Analyses of these data generated through such a conceptual framework may be compared to analyses of other dataset collected using alternative conceptual frameworks. Several studies revealed that, while the area is suitable for crop production, it has been affected by climate change This southern region was selected as it represents an environment that has contrasting agricultural potential but still has some of the highest agricultural potential in the country.

Experimental design

Materials

Method