eusilcS {simPop} | R Documentation |
Synthetic EU-SILC survey data
Description
This data set is synthetically generated from real Austrian EU-SILC (European Union Statistics on Income and Living Conditions) data.
Format
A data frame with 11725 observations on the following 18 variables.
- db030
integer; the household ID.
- hsize
integer; the number of persons in the household.
- db040
factor; the federal state in which the household is located (levels
Burgenland
,Carinthia
,Lower Austria
,Salzburg
,Styria
,Tyrol
,Upper Austria
,Vienna
andVorarlberg
).- age
integer; the person's age.
- rb090
factor; the person's gender (levels
male
andfemale
).- pl030
factor; the person's economic status (levels
1
= working full time,2
= working part time,3
= unemployed,4
= pupil, student, further training or unpaid work experience or in compulsory military or community service,5
= in retirement or early retirement or has given up business,6
= permanently disabled or/and unfit to work or other inactive person,7
= fulfilling domestic tasks and care responsibilities).- pb220a
factor; the person's citizenship (levels
AT
,EU
andOther
).- netIncome
numeric; the personal net income.
- py010n
numeric; employee cash or near cash income (net).
- py050n
numeric; cash benefits or losses from self-employment (net).
- py090n
numeric; unemployment benefits (net).
- py100n
numeric; old-age benefits (net).
- py110n
numeric; survivor's benefits (net).
- py120n
numeric; sickness benefits (net).
- py130n
numeric; disability benefits (net).
- py140n
numeric; education-related allowances (net).
- db090
numeric; the household sample weights.
- rb050
numeric; the personal sample weights.
Details
The data set consists of 4641 households and is used as sample data in some
of the examples in package simPopulation
. Note that it is included
for illustrative purposes only. The sample weights do not reflect the true
population sizes of Austria and its regions. The resulting population data
is about 100 times smaller than the real population size to save computation
time.
Only a few of the large number of variables in the original survey are
included in this example data set. The variable names are rather cryptic
codes, but these are the standardized names used by the statistical
agencies. Furthermore, the variables hsize
, age
and
netIncome
are not included in the standardized format of EU-SILC
data, but have been derived from other variables for convenience.
Source
This is a synthetic data set based on Austrian EU-SILC data from 2006. The original sample was provided by Statistics Austria.
References
Eurostat (2004) Description of target variables: Cross-sectional and longitudinal. EU-SILC 065/04, Eurostat.
Examples
data(eusilcS)
summary(eusilcS)