This study aims at validating a new type of social resilience analysis focused on the interaction of each social and economic component within the social-economic system. We have decided to divide the two general components, namely social and economic, analyze them in their interaction, social resilience meaning social adaptation to the economic dynamics. How do decision-makers act within the system seems, at first glance, coherent and self-evident: the social component targeting a higher living standard and the economic component trying to maximize its profit. But the social- economic system is a complex one, involving underlying relationships between the two components, interactions being difficult to determine. In order to emphasize the links between the social and the economic component we shall resort to the Principal Component Analysis (PCA) and the Hierarchical Ascendent Classification (HAC). HAC starts from spatial units, from similarities in the profiles of regions (counties or development regions) seen apriori as groups of variables, while PCA considers each variable distribution and compares it to each other. The data used are grouped by 23 variables: 10 social variables - the resident population, urban population, settling of domicile, departures from the domicile, net settling of domicile, settling of residence, departures from the residence, net settling of residence, emigrants, immigrants; 12 economic variables - employment by national economic activities(agriculture, industry, construction, and trade), economically active population by national economic activities (agriculture, industry, construction, and trade) and the average monthly salary by national economic activities (agriculture, industry, construction, and trade); 1 independent variable - the unemployment rate. The analysis is focused on two territorial levels in Romania: county and development region, over the 1991-2012 period
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