Proper poverty measurement and identification of consumption-based rural poverty determinants are the key steps to formulate proper rural poverty reduction strategies. The general rural poverty profile did not specifically address rural household income poverty, and yesterday is not today in the changing environment. To overcome the rural poverty problem, area-specific research data is relevant. So this research was conducted at Beyeda woreda, North Gondar zone of Ethiopia in 2021. The objective of this research is to analyze the extent of rural poverty and identify the determinants of rural income poverty at the household level. To collect the data, 184 households were selected from 4 representative kebeles by a simple random sampling technique. The respondents' primary data were gathered through an interview schedule and a focus group discussion. The secondary data was collected from reports, journals, proceedings, and books. The collected data was analyzed using statistical techniques such as the t-test, chi-square test, and binary logit. To measure the extent of rural poverty, consumption-based poverty measurement approaches were applied. The food and non-food consumption poverty lines calculated by the cost of basic needs approach were 4684.7 birr per AE per year and 1245.3 birr per year per AE respectively. The rural poverty headcount index was 57.1 percent, the poverty gap was 20.9 percent, and the severity of poverty was 10.1 percent, respectively. A binary logit analysis result shows that distance to market access had a significant and positive relationship with consumption-based rural poverty, but age of household, tropical livestock unit, family size, and irrigation access had a significant and negative relationship with income rural poverty. Consumption-based rural poverty is deep and complex in the study area. A one-dimensional poverty reduction strategy should be launched specifically to reduce asset-based and consumption-based rural poverty in the woreda. Irrigation and livestock activities should expand at the community as well as the household level. Key words: Determinant, extents, rural poverty, binary logistic model, Ethiopia.