The main objective of the study is to explore the relationship between poverty indicators and socio-demographic correlates like gender, age, household size, marital status, occupation, land ownership and house ownership. Poverty is defined and measured by nine indicators, which incorporate multi-dimensionality of poverty- food, income, assets, consumption, capability and well-being.

We are also interested to know the intergenerational mobility (from father to soon) of household food security for the poor and non-poor households. We also want to know the inequality in household income and landholding in poor and non-poor households as well as in father’s and son’s generation.

We also have attempted to make an analysis of nutritional food preference with respect to household level characteristics in poor and non-poor household. In doing so, we have adopted economic model, namely, simultaneous equation models. We are trying to show what are the important determinants of household budget allocation to different food item.

To know the poverty situation of the selected area, we first calculate the poverty line income using regression method taking per capita income as independent variable and per capita expenditure as dependent variable. To measure proportion of poverty and severity of poverty we use head count ratio index and squared poverty gap index. To measure the inequalities we use the Lorenz ratio technique. To calculate the intergenerational mobility of household food security we use Markov Chain techniques. Chi-square measure of association and Pearson’s correlation is used to ascertain the degree and direction of relationship between poverty variables and factors of poverty.