Data set consisting of 68 columns of data about the German elections 2002 and 2005.

data("de_elect")

Format

A data.frame() with 68 columns:

District:

electoral district

State:

federal state (Bundesland)

Num.comm:

number of communities

Area:

area 2004-12-31 (in square km)

Pop:

population 2004-12-31 (in 1000)

Men:

men (in 1000)

Citizens:

germans (in 1000)

Density:

population density 2004-12-31 (in square km)

Pop.le.15:

population younger than (or equal to) 15 years 2002-12-31 (in percent)

Pop.15.18:

population between 15 and 18 years old 2002-12-31 (in percent)

Pop.18.25:

population between 18 and 25 years old 2002-12-31 (in percent)

Pop.25.35:

population between 25 and 35 years old 2002-12-31 (in percent)

Pop.35.60:

population between 35 and 60 years old 2002-12-31 (in percent)

Pop.g.60:

population older than 60 years 2002-12-31 (in percent)

Births:

live births (per 1000)

Deaths:

deaths (per 1000)

Move.in:

moving there in 2003 (per 1000)

Move.out:

moving away in 2003 (per 1000)

Increase:

increase in population (per 1000)

Farms:

number of farms in 2001 (per 1000)

Agriculture:

agriculturally used land (in ha)

Mining:

mining companies and processing trade 2002-09-30 (per 1000)

Mining.employees:

employees in mining and processing trade 2002-09-30 (per 1000)

Apt.new:

new apartments 2002 (per 1000)

Apt:

apartments 2002-12-31 (per 1000)

Motorized:

motor vehicles 2003-01-31 (per 1000)

School.finishers:

school finishers 2002 (per 1000)

School.wo.2nd:

without secondary school (ohne Hauptschule) 2002 (in percent)

School.2nd:

with secondary school (Hauptschule) 2002 (in percent)

School.Real:

with graduation from Realschule 2002 (in percent)

School.UED:

with university-entrance diploma (Gymnasium) 2002 (in percent)

Unemployment.03:

unemployment 2003-12-31 (in percent)

Unemployment.04:

unemployment 2004-12-31 (in percent)

Employed:

employed subject to social insurance contribution (per 1000)

FFF:

farmers, foresters, fishermen (in percent)

Industry:

industry employees subject to social insurance contribution (in percent)

CTT:

commerce, transportation and telecommunication employees subject to social insurance contribution (in percent)

OS:

other services (in percent)

Voters.05:

eligible voters 2005

Voters.02:

eligible voters 2002

Votes.05:

number of votes 2005

Votes.02:

number of votes 2002

Invalid.05:

invalid votes 2005

Invalid.02:

invalid votes 2002

Valid.05:

valid votes 2005

Valid.02:

valid votes 2002

Votes.SPD.05:

votes for SPD 2005

Votes.SPD.02:

votes for SPD 2002

Votes.CDU.CSU.05:

votes for CDU/CSU 2005

Votes.CDU.CSU.02:

votes for CDU/CSU 2002

Votes.Gruene.05:

votes for Gruene 2005

Votes.Gruene.02:

votes for Gruene 2002

Votes.FDP.05:

votes for FDP 2005

Votes.FDP.02:

votes for FDP 2002

Votes.Linke.05:

votes for Linke 2005

Votes.Linke.02:

votes for Linke 2002

SPD.05:

SPD 2005 (as a fraction in [0,1])

CDU.CSU.05:

CDU/CSU 2005 (as a fraction in [0,1])

Gruene.05:

Gruene 2005 (as a fraction in [0,1])

FDP.05:

FDP 2005 (as a fraction in [0,1])

Linke.05:

Linke 2005 (as a fraction in [0,1])

Others.05:

Other parties 2005 (as a fraction in [0,1])

SPD.02:

SPD 2002 (as a fraction in [0,1])

CDU.CSU.02:

CDU/CSU 2002 (as a fraction in [0,1])

Gruene.02:

Gruene 2002 (as a fraction in [0,1])

FDP.02:

FDP 2002 (as a fraction in [0,1])

Linke.02:

Linke 2002 (as a fraction in [0,1])

Others.02:

other parties 2002 (as a fraction in [0,1])

Source

The data was obtained from http://www.bundeswahlleiter.de but is not available under this link anymore. Furthermore, the first column of the original data set is ommitted as it only contained the row numbers.

Examples

data("de_elect")