2015
DOI: 10.25336/p6fc7g
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Demography of a man-made human catastrophe: The case of massive famine in Ukraine 1932-1933

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 estimated 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… Show more

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Cited by 38 publications
(28 citation statements)
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“…These corrections were applied to the official urban and rural population figures of the eight regions by sex and age, as published by the CSA USSR. The general methodology we used to make these adjustments is the same as the one we used in our previous work on Ukraine (Rudnytskyi et al 2015); here we describe only the additional steps needed for adjustments at the regional level.…”
Section: Methodsmentioning
confidence: 99%
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“…These corrections were applied to the official urban and rural population figures of the eight regions by sex and age, as published by the CSA USSR. The general methodology we used to make these adjustments is the same as the one we used in our previous work on Ukraine (Rudnytskyi et al 2015); here we describe only the additional steps needed for adjustments at the regional level.…”
Section: Methodsmentioning
confidence: 99%
“…Data on the civilian NKVD staff contingent, also available only for Soviet Ukraine overall, was distributed by oblast and rural-urban areas proportionately to the oblast distributions of the special contingents. Comparing our resulting adjusted figures with the official census figures, we arrived at an overall inflation factor for Ukraine of 2.6 per cent; at the oblast level, the inflation factors vary between 0.8 per cent for Moldavia to 3.3 per cent for Chernihiv oblast (see Rudnytskyi et al 2015 for more details).…”
Section: Censusmentioning
confidence: 98%
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