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From the specialised literature, we know that divorce is a demographic event of particular importance, which directly affects two other events: the marriage rate by reducing the number of marriages and, implicitly, the birth rate because the family is the social institution that favours children's birth. This demographic phenomena in Romania have aroused the interest of sociologists and psychologists who, in their research, deal with the causes, dynamics and consequences of divorces on divorced partners and the relationship between divorced parents-children-family. The demographic analysis of birth, mortality, marriage and divorce was the subject of some chapters in treatises on general demography, textbooks, and articles based on descriptive statistical analysis or dissemination of statistical data. This paper presents a comprehensive analysis of divorces and divorciality in post-communist Romania (1990-2022). Our research is based on data provided by the National Institute of Statistics, population and housing census data (rounds 1992, 2002, 2011 and 2021), and Eurostat data for comparative analysis. We have adopted a sociodemographic perspective, utilizing a complex methodology that includes descriptive statistical analysis, boxplot analysis, cartographic analysis, Pearson correlation, multivariate regression, and analysis of regression residuals. This comprehensive approach ensures the reliability and validity of our findings. A particularity of this research is the appraisal of the weights of certain social groups to determine their territorial influence. Thus, by representing the share of the divorced population in the total resident population of Romania, according to the data from the censuses, a synthesis of the behaviour of people depending on the marital status manifested in space and time is expected. The cartographic analysis of divorciality based on data from the Population and Housing Census - 2021 round describes the dynamic of this demographic phenomena. It is the first research on divorce carried out using data from the population and housing censuses in Romania after 1990. [ABSTRACT FROM AUTHOR]