Spoilt for Choice

Selected factors influencing the poll numbers of German parties

Bastien Chevallier & Johannes Frohnmeyer

“If the federal election were held next Sunday, which of the following parties would you vote for?”
(“Sonntagsfrage”)

Dataset 1

2017 – Jan 2026
Number of surveys: 3,700
Source: dawum.de

About ⅓ of the surveys are for state or European elections, and the data only starts in 2017.

Dataset 2

2002 – Jan 2026
Number of polls: 5,079 (Bundestag)
Source: wahlrecht.de

Do institutes differ?

Deviation of each institute’s polls from the 30-day average of all polls.
A mean away from zero hints at a “house effect”.

House effect of Allensbach
House effect of Forsa
House effect of Forschungsgruppe Wahlen
House effect of GMS
House effect of Infratest dimap
House effect of INSA
House effect of Verian (Emnid)
House effect of YouGov

Poll average vs. economy

DAX (n=1,256)CPI (n=287)GDP (n=23)
CDU/CSU-0.69-0.71-0.69
SPD-0.77-0.79-0.76
Greens-0.28-0.38-0.46
FDP-0.27-0.29-0.17
Left-0.10-0.22-0.39
AfD-0.84-0.82-0.81

Pearson r with the 30-day poll average; click a value for its scatter plot.
Both series trend over time, so this is not evidence of causation.

Dataset 3

2000 – 2025
yearly gross domestic product (n=26)
Source: destatis.de
GDP over time
CDU/CSU vs GDP
SPD vs GDP
Greens vs GDP
FDP vs GDP
Left vs GDP
AfD vs GDP

Dataset 4

2000 – Dec 2025
monthly consumer price index (n=312)
Source: destatis.de
CPI over time
CDU/CSU vs CPI
SPD vs CPI
Greens vs CPI
FDP vs CPI
Left vs CPI
AfD vs CPI

Dataset 5

2000 – Jan 2026
weekly DAX opening value (n=1,361)
Source: investing.com
DAX over time
CDU/CSU vs DAX
SPD vs DAX
Greens vs DAX
FDP vs DAX
Left vs DAX
AfD vs DAX

Inspiration

dkriesel.com

Backup