Description Usage Format Details Source References Examples

This data set is synthetically generated from real Austrian EU-SILC (European Union Statistics on Income and Living Conditions) data.

1 |

A data frame with 14827 observations on the following 28 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`

and`Vorarlberg`

).`rb030`

integer; the personal ID.

`age`

integer; the person's age.

`rb090`

factor; the person's gender (levels

`male`

and`female`

).`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`

and`Other`

).`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).

`hy040n`

numeric; income from rental of a property or land (net).

`hy050n`

numeric; family/children related allowances (net).

`hy070n`

numeric; housing allowances (net).

`hy080n`

numeric; regular inter-household cash transfer received (net).

`hy090n`

numeric; interest, dividends, profit from capital investments in unincorporated business (net).

`hy110n`

numeric; income received by people aged under 16 (net).

`hy130n`

numeric; regular inter-household cash transfer paid (net).

`hy145n`

numeric; repayments/receipts for tax adjustment (net).

`eqSS`

numeric; the equivalized household size according to the modified OECD scale.

`eqIncome`

numeric; a slightly simplified version of the equivalized household income.

`db090`

numeric; the household sample weights.

`rb050`

numeric; the personal sample weights.

The data set consists of 6000 households and is used in the examples of package
`laeken`

. Note that this is a synthetic data set based on original
EU-SILC survey data.

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`

, `eqSS`

and `eqIncome`

are not
included in the standardized format of EU-SILC data, but have been derived from
other variables for convenience. Moreover, some very sparse income components
were not included in the the generation of this synthetic data set. Thus the
equivalized household income is computed from the available income components.

This is a synthetic data set based on Austrian EU-SILC data from 2006. The original sample was provided by Statistics Austria.

A. Alfons and M. Templ (2013) Estimation of Social Exclusion Indicators
from Complex Surveys: The **R** Package laeken. *Journal of
Statistical Software*, **54**(15), 1–25. doi: 10.18637/jss.v054.i15

A. Alfons, M. Templ, P. Filzmoser (2011) Simulation of close-to-reality
population data for household surveys with application to EU-SILC.
*Statistical Methods and Applications*,
vol 20 (3), 383-407.

Eurostat (2004) Description of target variables: Cross-sectional and
longitudinal. *EU-SILC 065/04*, Eurostat.

1 2 |

```
Loading required package: boot
Loading required package: MASS
db030 hsize db040 rb030
Min. : 1 Min. :1.000 Upper Austria:2805 Min. : 101
1st Qu.:1516 1st Qu.:2.000 Lower Austria:2804 1st Qu.:151602
Median :2993 Median :3.000 Vienna :2322 Median :299304
Mean :3005 Mean :3.234 Styria :2295 Mean :300471
3rd Qu.:4493 3rd Qu.:4.000 Tyrol :1317 3rd Qu.:449302
Max. :6000 Max. :9.000 Carinthia :1078 Max. :600002
(Other) :2206
age rb090 pl030 pb220a py010n
Min. :-1.0 male :7267 1 :5162 AT :11073 Min. : 0
1st Qu.:21.0 female:7560 5 :3146 EU : 283 1st Qu.: 0
Median :39.0 7 :1207 Other: 751 Median : 2566
Mean :39.2 2 :1160 NA's : 2720 Mean : 9121
3rd Qu.:56.0 4 : 736 3rd Qu.: 16896
Max. :97.0 (Other): 696 Max. :151894
NA's :2720 NA's :2720
py050n py090n py100n py110n
Min. : -1653 Min. : 0.0 Min. : 0 Min. : 0.00
1st Qu.: 0 1st Qu.: 0.0 1st Qu.: 0 1st Qu.: 0.00
Median : 0 Median : 0.0 Median : 0 Median : 0.00
Mean : 1105 Mean : 412.5 Mean : 3641 Mean : 72.66
3rd Qu.: 0 3rd Qu.: 0.0 3rd Qu.: 0 3rd Qu.: 0.00
Max. :112073 Max. :27354.3 Max. :75837 Max. :21281.02
NA's :2720 NA's :2720 NA's :2720 NA's :2720
py120n py130n py140n hy040n
Min. : 0.00 Min. : 0 Min. : 0.00 Min. : 0.0
1st Qu.: 0.00 1st Qu.: 0 1st Qu.: 0.00 1st Qu.: 0.0
Median : 0.00 Median : 0 Median : 0.00 Median : 0.0
Mean : 51.05 Mean : 363 Mean : 39.65 Mean : 772.8
3rd Qu.: 0.00 3rd Qu.: 0 3rd Qu.: 0.00 3rd Qu.: 0.0
Max. :31472.40 Max. :52480 Max. :19440.37 Max. :118083.6
NA's :2720 NA's :2720 NA's :2720
hy050n hy070n hy080n hy090n
Min. : 0 Min. : 0.00 Min. : 0.0 Min. : 0.00
1st Qu.: 0 1st Qu.: 0.00 1st Qu.: 0.0 1st Qu.: 0.50
Median : 1563 Median : 0.00 Median : 0.0 Median : 62.65
Mean : 2995 Mean : 87.96 Mean : 652.3 Mean : 468.36
3rd Qu.: 4823 3rd Qu.: 0.00 3rd Qu.: 0.0 3rd Qu.: 230.48
Max. :96449 Max. :4871.81 Max. :107951.9 Max. :109857.80
hy110n hy130n hy145n eqSS
Min. : 0.00 Min. : 0.0 Min. :-28690.3 Min. :1.000
1st Qu.: 0.00 1st Qu.: 0.0 1st Qu.: -295.3 1st Qu.:1.500
Median : 0.00 Median : 0.0 Median : 0.0 Median :2.000
Mean : 32.73 Mean : 328.6 Mean : -132.5 Mean :1.984
3rd Qu.: 0.00 3rd Qu.: 0.0 3rd Qu.: 0.0 3rd Qu.:2.400
Max. :13627.23 Max. :49285.3 Max. : 27018.1 Max. :4.500
eqIncome db090 rb050
Min. : 0 Min. : 357.9 Min. : 357.9
1st Qu.: 13463 1st Qu.: 492.9 1st Qu.: 492.9
Median : 18081 Median : 527.6 Median : 527.6
Mean : 19907 Mean : 551.8 Mean : 551.8
3rd Qu.: 24194 3rd Qu.: 614.7 3rd Qu.: 614.7
Max. :152208 Max. :1032.0 Max. :1032.0
```

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