We study long-run health effects of nutritional conditions early in life exploiting spatial and temporal variation in those conditions. For this purpose we consider individuals from a large set of municipalities in Germany, born in the years 1935-1950. Time series of local infant mortality rates are used to distinguish between affluent municipalities and municipalities with adverse early-life conditions, and these series are also used to assess the local impact of the post-World War II famine in Germany. This methodology is novel and useful if the impact of a famine is strongly heterogeneous across regions and if local variation in the impact of the famine is not observed in the data. Individuals from municipalities where the famine was severe display an average realized adult height loss of about 2.5 cm. This predicts adverse health outcomes late in their life.