This dataset supports an analysis of the 1933 Ukrainian famine, which caused up to 2.6 million deaths. It is used to evaluate the impact of weather, collectivization policies, and ethnic discrimination on excess mortality.
Use Cases
- Analyze the relationship between weather data and excess death predictions, which the source indicates explains up to 8.1% of fatalities.
- Model the impact of collectivization policies on famine mortality, a factor cited as explaining up to 52% of excess deaths.
- Investigate evidence of differential mortality rates among ethnic Ukrainians and Germans mentioned in the description.
Strengths
- Analysis is grounded in a historical event with a documented death toll of up to 2.6 million people.
- The source paper quantifies the explanatory power of key factors, such as weather (8.1%) and collectivization (52%).
Limitations
- The specific data columns, sample size, and file formats are unknown.
- The dataset's temporal coverage is focused on a single historical event, limiting generalizability.
Provenance
- Source
- Natalya Naumenko via ICPSR Harvested Dataverse
- Collection Method
- null
- Time Range
- Centered on 1933
- Freshness
- null
- Geography
- Ukraine