Poverty is a problem faced both nationally and globally. Central Sulawesi Province is one of the provinces in Indonesia with an economic growth rate that is above the national rate, which is inversely proportional to the amount of poverty that occurs. This study aims to find a model using ordinal logistic regression analysis to predict predictor variables that affect poverty and rank the influencing predictor variables using dominant analysis. Based on 11 predictor variables that are thought to be closely related to the characteristics of poverty with the approach of poor households in Central Sulawesi province, ordinal logistic regression analysis concludes that seven predictor variables that affect it are X1 (floor area), X4 (roof), X5 (latrine facilities), X6 (drinking water), X9 (credit), X10 (assets), and X11 (aid rice). The importance of the seven predictor variables can be ranked using dominant analysis. The dominant analysis concludes that the highest importance in influencing poverty in Central Sulawesi province is the variable X11 (aid rice) followed by variables X6 (drinking water), x5 (latrine facilities), X1 (floor area), X4 (roof), X10 (assets), and X9 (credit).