Household consumption expenditure is required to meet basic needs such as food, clothing, housing, transport, health etc to accomplish the day to day life and also for existence. Therefore, considering the female population, it is interested to find the status of female headed household expenditure. The gender gap is the existence phenomena in many issues; therefore, this makes attention to study the gender gap in the case of consumption expenditure and to draw lessons. The objectives of this research were to examine the patterns of household consumption expenditure and identify the determinants of female headed household consumption in the case of Sekela Woreda, in the Amhara National Regional State, Ethiopia. The study used secondary data which is cross-sectional and collected from the Ethiopian Central Statistics Agency. It employed the quantitative approach and causal comparative design under positivism paradigm. It also used the multiple linear regression model, independent t-test and ANOVA tests. In this study two hundred thirty four households were included. The study engaged the multiple linear regression model to assess the determinants of the female headed household consumption expenditure using STATA 13. The result revealed that the existence of group variation between mean of household consumption expenditure. This variation is also extends to rural and urban dwellers. The result indicates that the mean consumption expenditure score of those female headed households was 31,801 ETB which is lower than male headed households by 19,446 ETB. The mean difference of the true population between female and male headed households was 8,597ETB per year. From the determinants; the annual quantity (P-value=0.000), other household expenditure (P-value=0.000), source (p-value=0.001), sex (p-value=0.000), size of the household (p-value=0.005) and place of residence (p-value=0.000) are significantly affected the household consumption expenditure at 1% significance level. Of, these the annual quantity took the highest level to influence the consumption expenditure. The income expenditure gap was also wide-ranging between female and male regarding with in the rural areas. This event applies negative consequence on consumption to meet the demand of households and also saving which have a negative influence on future investment. Hence, the government should give attention towards improving the existing difference and the female headed households should be considered in livelihood issues (income generating activities), family size planning, and supply infrastructures to minimize unnecessary expenditures (transport, health centers...). Keywords: Household, Multiple Linear Regression Model, Household consumption ex