The traditional Gross Domestic Product (GDP) reflects the money value of the annual economic output produced by the domestic industries’ employees. Thus, the GDP fully accounts for paid work. In contrast, unpaid work remains unconsidered. However, measured in time units, unpaid work clearly exceeds paid work. Therefore, societies rely likewise on paid and unpaid work. The study at hand identifies women’s and men’s volume of paid and unpaid work in time units and money values. For this purpose, German time use data are combined with the traditional monetary input-output table (IOT) for the year 2000 and its inverse matrix. While the IOT provides information about the industries’ direct and indirect contributions to traditional GDP, time use data determine the gender-specific paid and unpaid workload. Thus, women’s and men’s share in an extended GDP, defined as the sum of traditional GDP and household production, can be given. Finally the genders’ level of qualification is taken into account. This, in turn, allows for a more precise identification of the gender-specific quality of work.