Multistage random sampling was used to collect primary data from 100 households in the study area. Minimum consumption expenditure per person was used as standard of measurement to categorize households into poor and non-poor. To address principal determinants of household poverty in the study area, the study used, logit model. The poverty headcount was 20 percent in in Nagaur district. The district has poverty gap index of 0.056 and the squared poverty gap index was 0.021. Descriptive analysis results showed majority 53 percent of overall, 56 percent of non-poor and 35 percent of poor sampled households responded they have unemployed family member. 60 percent poor, 41 percent non-poor and 45 percent overall sampled households responded their own production is not enough year round. Agriculture generates nearly 55 percent and non-farm has 45 percent of the total annual income in Nagaur district. Out of monthly total expenditure, 63 percent goes to food, 18 percent to non-food, 17 percent to education and the remaining 3 percept to medical expenditure monthly. In the district, 60 percent of the poor and 8 percent of the non-poor had below poverty line ration card. The logit model result showed, as family size increases by one adult equivalent, citrus paribus, the probability that a household falls into poverty increases by 10.1 percent. As farm size increases by one hectare, the probability that a household falls into poverty decrease by 5.2 percent and a household with better access to irrigation is 8.3 percent more likely to be non-poor in Nagaur district. If income increases by one lakh, the probability of the household falling into poverty will decrease by 0.04 percent. As livestock ownership increases by one TLU, the probability that a household falls into poverty will decrease by 13.7 percent. As decision maker education measured by years of schooling increases by one unit, the probability that a household falls into poverty will decrease by 4.8 percent.
Poverty, determinants of poverty, logit, Poverty gap index, headcount index, Poverty severity index
