![]() Many of these cultures were dynamic and highly developed. Jewish Communities before the Nazi Seizure of Powerīefore the Nazis seized power in 1933, Europe had a richly diverse set of Jewish cultures. In southern Europe, Greece had the largest Jewish population, with about 73,000 Jews (1.2%). In western Europe the largest Jewish communities were in Great Britain, with 300,000 Jews (0.65%) France, with 250,000 (0.6%) and the Netherlands, with 156,000 (1.8%). This was followed by Hungary with 445,000 (5.1%), Czechoslovakia with 357,000 (2.4%), and Austria with 191,000, most of whom resided in the capital city of Vienna (2.8%). In prewar central Europe, the largest Jewish community was in Germany, with about 525,000 members (0.75% of the total German population). Here, Jews comprised 4.9%, 7.6%, and 0.4% of each country's population, respectively, and 5% of the region's total population. The Jewish population in the three Baltic states totaled 255,000: 95,600 in Latvia, 155,000 in Lithuania, and 4,560 in Estonia. The largest Jewish communities in this area were in Poland, with about 3,000,000 Jews (9.5%) the European part of the Soviet Union, with 2,525,000 (3.4%) and Romania, with 756,000 (4.2%). The majority of Jews in prewar Europe resided in eastern Europe. This number represented more than 60 percent of the world's Jewish population at that time, estimated at 15.3 million. Imagery used to identify settlements is from the Maxar Basemap +Vivid.In 1933, approximately 9.5 million Jews lived in Europe, comprising 1.7% of the total European population. Population estimates are based on data from the Gridded Population of the World data collection. Accessed DAY MONTH YEAR.ĬIESIN contributions to the development of this work were supported by funding provided by Meta. More information can be found here: Ĭitation To reference this data, please use the following citation: Meta and Center for International Earth Science Information Network - CIESIN - Columbia University. This preserves the relative population totals across administrative units while matching the UN total. The resulting adjustment factor is multiplied by each administrative unit census value for the target year. The UN estimate for a given country (or state/territory) is divided by the total census estimate of population for the given country. For more information about the methodology used to create our high resolution population density maps and the demographic distributions, please visit: įor information about how to use HDX to access these datasets, please visit: Īdjustments to match the census population with the UN estimates are applied at the national level. The resulting maps are the most detailed and actionable tools available for aid and research organizations. Then we work with our partners at Columbia University to overlay general population estimates based on publicly available census data and other population statistics. To create our high-resolution maps, we use machine learning techniques to identify buildings from commercially available satellite images. Creative Commons Attribution International
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