The Great Famine Project

Great Famine - Procurement

The MAPA Great Famine project focuses on the Ukrainian Famine of 1932-33, also known as the Holodomor (“death by starvation”), which is widely considered in Ukraine and beyond to be a genocide. The project is concerned with the geospatial analysis of Holodomor losses and the factors that may have influenced distribution outcomes. It uses the data provided by a group of Ukrainian and U.S. demographers that includes Oleh Wolowyna (the University of North Carolina at Chapel Hill), Omelian Rudnytskyi, Nataliia Levchuk, Pavlo Shevchuk, and Alla Kovbasiuk (the Ptoukha Institute of Demography and Social Studies).

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In addition to population statistics, the project incorporates data on the ethnic composition and administrative division of Ukraine in the 1920s and 1930s, country's ecological zoning, as well as Soviet government policies and their results, including levels of collectivization of the agriculture, grain procurement plans, and data on the fulfillment of those plans. Mapping this data using Geographic Information System technology, the MAPA team produced an online atlas of web maps and analytical tools that provide researchers and the general public with resources to analyze various factors influencing famine outcomes. The interactive map allows one not only to conduct spatial analysis of historical data, but also helps to formulate new questions and to stimulate new research on the history of the Great Famine.

Using this data and the web map tools, the MAPA team conducted its own spatial analysis that confirmed the artificial, man-made nature of the famine. In particular, a comparison of the maps of the 1921–23 and 1932–33 famines revealed that the Great Ukrainian Famine had a different “footprint” than the famine one decade earlier. Whereas the famine of 1921-23 affected southern Ukraine, the Great Famine was concentrated in central Ukraine. Southern Ukraine, administratively divided in the early 1930s into the Odesa, Dnipropetrovsk, and Stalino (Donetsk) oblasts, had fertile black earth that led to its role as the “breadbasket” of Europe since mid-nineteenth century. In other words, wheat was a primary — and productive — industry in southern Ukraine. However, the region was also known for its occasionally harsh winters and, most of all, for the severe droughts that caused poor harvests, starvation, and sometimes famine. This is the area where more or less “natural” famines have taken place. But the Great Famine hit hardest in areas that did not see significant famines before.

Map Archive

Administrative maps of Ukraine, 1922 - 1937.

Famine Web Map

The Great Famine web map allows one not only to conduct spacial analysis of historical data, but also helps to formulate new questions and, we hope, stimulate new research on the history of the Great Famine.... Read more about Famine Web Map

Демографія періоду Голодомору очима українських фахівців 1930-х рр.: досягнення, проблеми та можливості використання у сучасних дослідження
Єфіменко Г. 2023. “Демографія періоду Голодомору очима українських фахівців 1930-х рр.: досягнення, проблеми та можливості використання у сучасних дослідження.” Український історичний журнал, 2023, 5, Pp. 50-68. Publisher's VersionAbstract
Метою є аналіз демографічного становища в УСРР на початку 1930-х рр.
Demography of a Man-Made Human Catastrophe: the Case of Massive Famine in Ukraine 1932–1933.
O.P. Rudnytskyi, Nataliia Levchuk, Oleh Wolowyna, Pavlo Shevchuk, and A.B. Kovbasiuk. 2015. “Demography of a Man-Made Human Catastrophe: the Case of Massive Famine in Ukraine 1932–1933.” Canadian Studies in Population, 42, 1-2, Pp. 53–80.Abstract
Estimates of  1932–34 famine direct losses (excess deaths) by age and sex and indirect losses (lost births) are calculated, for the first time, for rural and urban areas of Ukraine. Total losses are es-timated at 4.5 million, with 3.9 million excess deaths and 0.6 million lost births. Rural and urban excess deaths are equivalent to 16.5 and 4.0 per cent of  respective 1933 populations. We show that urban and rural losses are the result of very different dynamics, as reflected in the respective urban and rural age structures of  relative excess deaths.