A high level of women unemployment is one of the critical socio-economic problems facing Ethiopia. The intensity of the problem is high in urban areas in general, Debere Tabor in particular where women face serious difficulty in getting employment. Various studies indicate the level of women unemployment in Amhara Region. However, little is known about the factors exacerbating women unemployment in the region and as the knowledge of the researcher no research is conducted under this problem in the study area. In light of this problem, this study is conducted with an objective of assessing the demographic and socioeconomic determinants of women unemployment in Debre Tabor city. Primary data were collected from 390 women randomly selected from the whole four kebeles of Debere Tabor city, South Gonder Zone, Amhara National Regional State, are used for the study. Descriptive statics and binary logistic regression model were used to analyze the data. Among all the respondents, 53.54% percent were found unemployed, while 46.46 percent were employed at the time of the survey. The result showed that women who had secondary and below educational level, not participate in association, inaccessible to get credit and training, pregnant women and women who have children under age of five and less were found unemployed in the city. The logit regression analysis showed that women education, sex of the head of the household , husband’s education, presence of children under five years of age in the household, pregnancy, participate training and association, age, family size and exposer to any mass media significantly determine women unemployment in Debere Tabor city. Addictions, husband occupation type, marital status, were found insignificantly related to women unemployment. Based on the findings of the study women employment has a great role on family welfare, promoting growth, poverty reduction and food security. Finally, the study recommended that government development programs must target women, provide technical knowledge and expand credit facilities policy makers must incorporate gender issues.