Abstract : The determinants of unmet need for contraception vary between regions, so they have different influences for each location. Therefore, it is necessary to map cases and risk factors for unmet need for contraception in Indonesia based on the district/city level. This research aims to determine the determinants of the unmet need for contraception by considering spatial aspects. This research was carried out in 155 Muaro Jambi Regency, Indonesia and using secondary data for 2020 and 2021, with an analysis unit of 155 villages in Muaro Jambi Regency. This research uses an ecological study research design with analysis of Moran's index, Moran's scatterplot, and spatial regression SAR. This research was carried out from March to December 2022. There has been an increasing unmet need for contraception from 16.8% in 2020 to 20.6% in 2021. In addition, there is positive spatial autocorrelation between villages in Muaro Jambi Regency, seen from the p-value <0.05. Based on the results of spatial regression SAR, the variables that are significantly related in 2020 are the number of cadres (0.001), early marriage (0.022), and education level (0.00). Meanwhile, in 2021, education level has a significant influence, with a p-value of 0.000. This research is expected to provide a contribution in the form of information and input for central and regional governments in prioritizing intervention programs to reduce the unmet need for contraception at the district or city level.