Table 2. Description of variables used in the binary logistic regression model.

Variables	Description	Variable type
Dependent Variable
Food security status	Food Security status of the household. It takes value 1 if household is food secure and zero otherwise	Binary
Independent Variables
Age	Age of household head in years	Continuous
Education	Education level of the household head	Continuous
HH size	Total members in the household	Continuous
Earning members	Total earning hands in household	Continuous
Monthly income	Monthly income of the households	Continuous
Monthly food expenses	Monthly food expenses of the households	Continuous
Distance to road	Distance to paved road in kilometers	Continuous
Distance to market	Distance to output market in kilometers	Continuous
Transportation cost	Transportation cost to output market	Continuous
Employment loss	Risk to livelihood loss. It takes value 1 if yes and zero otherwise	Binary
Health expenses	Risk to livelihood loss. It takes value 1 if yes and zero otherwise	Binary
Food prices	Risk to livelihood loss. It takes value 1 if yes and zero otherwise	Binary
Debt	Risk to livelihood loss. It takes value 1 if yes and zero otherwise	Binary
Crop diseases	Risk to livelihood loss. It takes value 1 if yes and zero otherwise	Binary
Irrigation water	Risk to livelihood loss. It takes value 1 if yes and zero otherwise	Binary
Bad climate	Risk to livelihood loss. It takes value 1 if yes and zero otherwise	Binary