Key objective of this study was to examine factors that predict performance of Micro and Small enterprises owned by women. The study utilized stratification sampling design where by enterprises were stratified according to their nature of business. Thus a sample of 183 micro and small enterprises was determined and proportionally allocated to each business category. A simple random sampling technique was used to select a list of micro and small enterprises from each category that formed representative sample. Data were collected using questionnaire then analyzed by Statistical Package for Social Sciences (SPSS) software. The study employed Chi-square technique to test hypothesis of no association between variables while binary logistic regression model was employed to examine in depth contribution of each explanatory variable to the performance of enterprises. Findings revealed that business experience, training workshop, marital status, education level and family background contribute to the performance of women in micro and small enterprises unlike age which was found insignificant.