An increasing number of poverty researchers recognize that poverty is a multidimensional phenomenon and can therefore only be captured realistically through a multidimensional concept of poverty. The classic income-oriented approaches do not go far enough. Although this insight represents a step forward, two essential points are missing from the approaches used so far: On the one hand the time dimension - and thus the consideration of increasing time scarcity and compression - remains usually unconsidered, on the other hand the different dimensions are regarded usually exclusively separately, i.e. the mutual dependence/interdependence of the dimensions remains unconsidered. In the context of this research project both dimensions will be considered. The personal leisure time and the income of the individual represent the two central resources for the answer to the question of social exclusion and are accordingly the core of a multidimensional interdependent poverty concept. The dependency/interdependence/substitution of the two dimensions is captured by us via the personal evaluations of the total population (from the SOEP survey) by estimating a CES utility function with leisure time and income as input variables and utility/well-being as output with the data of the Socio-Economic Panel (SOEP). Using the detailed time diary information from the German Federal Statistical Office's Time Use Survey, an individual allocation to the various sectors of multidimensional poverty and a quantification of interdependent time and income poverty was then made. In particular, we investigate the question of what influence the certain time sovereignty of the self-employed as freelancers and entrepreneurs has on such multidimensional poverty of scarcity of time and money. Using recent microeconometric approaches, we also analyze the dynamics between poverty sectors for different population groups. During the reporting period, we have further intensified the work on this project, produced publications and presented results for discussion at international conferences. We also investigated the question of whether time-poor people have increased consumer spending. The data basis for this is the Income and Consumption Sample (EVS) of the Federal Statistical Office with more than 40,000 households surveyed