synthpop (version 1.2-1)

SD2011: Social Diagnosis 2011 - Objective and Subjective Quality of Life in Poland

Description

Sample of 5,000 individuals from the Social Diagnosis 2011 survey; selected variables only.

Usage

SD2011

Format

A data frame with 5,000 observations on the following 35 variables:

sex

Sex

age

Age of person, 2011

agegr

Age group, 2011

placesize

Category of the place of residence

region

Region (voivodeship)

edu

Highest educational qualification, 2011

eduspec

Discipline of completed qualification

socprof

Socio-economic status, 2011

unempdur

Total duration of unemployment in the last 2 years (in months)

income

Personal monthly net income

marital

Marital status

mmarr

Month of marriage

ymarr

Year of marriage

msepdiv

Month of separation/divorce

ysepdiv

Year of separation/divorce

ls

Perception of life as a whole

depress

Depression symptoms indicator

trust

View on interpersonal trust

trustfam

Trust in own family members

trustneigh

Trust in neighbours

sport

Active engagement in some form of sport or exercise

nofriend

Number of friends

smoke

Smoking cigarettes

nociga

Number of cigarettes smoked per day

alcabuse

Drinking too much alcohol

alcsol

Starting to use alcohol to cope with troubles

workab

Working abroad in 2007-2011

wkabdur

Total time spent on working abroad

wkabint

Plans to go abroad to work in the next two years

wkabintdur

Intended duration of working abroad

emcc

Intended destination country

englang

Knowledge of English language

height

Height of person

weight

Weight of person

bmi

Body mass index

Source

Council for Social Monitoring. Social Diagnosis 2000-2011: integrated database. http://www.diagnoza.com/index-en.html [downloaded on 13/12/2013]

References

Czapinski J. and Panek T. (Eds.) (2011). Social Diagnosis 2011. Objective and Subjective Quality of Life in Poland - full report. Contemporary Economics, Volume 5, Issue 3 (special issue) http://ce.vizja.pl/en/issues/volume/5/issue/3#art254

Examples

  spineplot(englang ~ agegr, data = SD2011, xlab = "Age group", ylab = "Knowledge of English")
  boxplot(income ~ sex, data = SD2011[SD2011$income != -8,])