Tehran University of Medical Sciences Iranian Journal of Public Health 2251-6085 53 12 2024 12 08 2625 2631 Musafaah Musafaah Public Health Study Program, Faculty of Medicine and Health Sciences, Lambung Mangkurat University, Banjarbaru, South Kalimantan 70714, Indonesia Hadrianti Haji Darise Lasari Public Health Study Program, Faculty of Medicine and Health Sciences, Lambung Mangkurat University, Banjarbaru, South Kalimantan 70714, Indonesia Martya Makful Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Indonesia Tris Eryando Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Indonesia 2024 01 27 2024 05 18 Background: The unmet need for family planning is an indicator in monitoring and evaluating family planning programs in the decentralization era. Spatial analysis is an analytical tool that can understand the existence of family planning disparities among regions. This study aimed to conduct a systematic review of the application of spatial analysis in research related to the unmet need for family planning and to review its results. Methods: The databases used in the literature search are PubMed, Scopus, and SpringerLink. The keywords used in the search were: “unmet need for family planning” OR “unmet need for contraception” AND (spatial OR geographic). Full-text articles from 2013 to 2022 were included. Results: Of the 334 identified articles, 3 (three) articles were reviewed. The three studies used spatial analysis at the level of spatial data exploration by using global and local Moran Index tests, Getis-Ord Gi* local statistics, and natural break spatial techniques. Conclusion: The use of advanced spatial analysis such as GWR and other regression analyzes is needed to investigate factors associated with regionally specific unmet need for family planning so that policy makers can allocate resources effectively. https://ijph.tums.ac.ir/index.php/ijph/article/view/34433 https://ijph.tums.ac.ir/index.php/ijph/article/download/34433/8409