Nazi Party Electoral Success and Austerity Across German Districts 1930-1933

Featuring voting data from a thousand districts and a hundred cities for four elections between 1930 and 1933. It links fiscal austerity measures, including spending cuts and tax increases, to Nazi Party vote shares and local suffering measured by mortality rates. The data was compiled by Gregori Galofré-Vilà for a research paper on austerity and the rise of the Nazi party.

Use Cases

• Analyze the correlation between fiscal austerity measures (spending cuts, tax increases) and Nazi Party vote shares across districts and cities.
• Model the relationship between local suffering, as measured by mortality rates, and electoral outcomes for the Nazi Party.
• Apply an instrumental variable strategy or border-pair policy discontinuity design to test the robustness of the austerity-electoral success link.
• Compare voting patterns across the four elections (1930-1933) to track the temporal evolution of Nazi support in relation to austerity.

Strengths

• Data covers a thousand districts and a hundred cities, providing a broad geographic scope.
• Includes four elections between 1930 and 1933, offering temporal depth for analysis.
• Links multiple concrete variables: austerity measures, vote shares, and mortality rates.

Limitations

• The specific number of rows and columns is unknown, limiting precise assessment of dataset scale.
• Data is historical and specific to Weimar Germany, limiting generalizability to other contexts.
• Relies on historical records which may have gaps or inconsistencies in measurement.

Provenance

Source

Gregori Galofré-Vilà, associated with the research paper 'Austerity and the rise of the Nazi party'.

Collection Method

Compiled for academic research, likely from historical archives of voting records and fiscal data.

Time Range

Covers four elections between 1930 and 1933.

Freshness

Last updated metadata indicates 2026-02-23, but the underlying historical data is from 1930-1933.

Geography

Covers a thousand districts and a hundred cities in Germany.