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 58,654 observations on 28 variables:
- hid
integer; the household ID.
- region
factor; the federal state in which the household is located (levels: Burgenland, Carinthia, Lower Austria, Salzburg, Styria, Tyrol, Upper Austria, Vienna, Vorarlberg).
- hsize
integer; the number of persons in the household.
- eqsize
numeric; the equivalized household size according to the modified OECD scale.
- eqIncome
numeric; a simplified version of the equivalized household income.
- pid
integer; the personal ID.
- id
household ID combined with the personal ID. The first five digits represent the household ID, the last two digits the personal ID (both with leading zeros).
- age
integer; the person's age.
- gender
factor; the person's gender (levels: male, female).
- ecoStat
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/community service, 5 = in retirement/early retirement, 6 = permanently disabled/unfit to work/other inactive person, 7 = fulfilling domestic tasks).
- citizenship
factor; the person's citizenship (levels: AT, EU, 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).
- main
logical; indicates the main income holder of each household.
Source
This is a synthetic dataset called eusilcP from the simPop package.
It is based on Austrian EU-SILC data from 2006
The original sample was provided by Statistics Austria.
Details
The data set is used as population data in some examples in the simFrame package. It is included for illustrative purposes only. Only a few of the large number of variables in the original survey are included, and some variables have been derived for convenience (e.g., hsize, eqsize, eqIncome, age). Sparse income components were omitted. Equivalized household income is computed from available components.
References
Eurostat (2004) Description of target variables: Cross-sectional and longitudinal. EU-SILC 065/04, Eurostat.
Examples
data(eusilc)
summary(eusilc)
#> hid region hsize eqsize
#> Min. : 1 Vienna :11657 2 :14128 Min. :1.000
#> 1st Qu.: 6262 Lower Austria:11127 4 :13180 1st Qu.:1.500
#> Median :12465 Upper Austria:10310 3 :12429 Median :2.000
#> Mean :12488 Styria : 8142 1 : 8602 Mean :1.943
#> 3rd Qu.:18719 Tyrol : 4796 5 : 6745 3rd Qu.:2.400
#> Max. :25000 Carinthia : 4111 6 : 2094 Max. :4.500
#> (Other) : 8511 (Other): 1476
#> eqIncome pid id age
#> Min. : 0 Min. :1.00 Length:58654 Min. :-1.00
#> 1st Qu.: 13539 1st Qu.:1.00 Class :character 1st Qu.:22.00
#> Median : 18322 Median :2.00 Mode :character Median :40.00
#> Mean : 20163 Mean :2.07 Mean :39.75
#> 3rd Qu.: 24277 3rd Qu.:3.00 3rd Qu.:57.00
#> Max. :179946 Max. :9.00 Max. :97.00
#>
#> gender ecoStat citizenship py010n py050n
#> male :28539 1 :20900 AT :44066 Min. : 0 Min. : -6895
#> female:30115 5 :12836 EU : 1257 1st Qu.: 0 1st Qu.: 0
#> 7 : 4607 Other: 3162 Median : 2382 Median : 0
#> 2 : 4362 NA's :10169 Mean : 9062 Mean : 1288
#> 4 : 2921 3rd Qu.: 16820 3rd Qu.: 0
#> (Other): 2859 Max. :199075 Max. :129874
#> NA's :10169 NA's :10169 NA's :10169
#> py090n py100n py110n py120n
#> Min. : 0.0 Min. : 0 Min. : 0.0 Min. : 0.00
#> 1st Qu.: 0.0 1st Qu.: 0 1st Qu.: 0.0 1st Qu.: 0.00
#> Median : 0.0 Median : 0 Median : 0.0 Median : 0.00
#> Mean : 444.6 Mean : 3713 Mean : 72.9 Mean : 51.22
#> 3rd Qu.: 0.0 3rd Qu.: 0 3rd Qu.: 0.0 3rd Qu.: 0.00
#> Max. :29887.1 Max. :101777 Max. :22546.8 Max. :46398.44
#> NA's :10169 NA's :10169 NA's :10169 NA's :10169
#> py130n py140n hy040n hy050n
#> Min. : 0.0 Min. : 0.00 Min. : -2962.5 Min. :-11857
#> 1st Qu.: 0.0 1st Qu.: 0.00 1st Qu.: 0.0 1st Qu.: 0
#> Median : 0.0 Median : 0.00 Median : 0.0 Median : 0
#> Mean : 393.7 Mean : 41.73 Mean : 879.9 Mean : 2826
#> 3rd Qu.: 0.0 3rd Qu.: 0.00 3rd Qu.: 0.0 3rd Qu.: 4558
#> Max. :53183.6 Max. :18643.46 Max. :129586.6 Max. :118309
#> NA's :10169 NA's :10169
#> hy070n hy080n hy090n hy110n
#> Min. : 0.00 Min. : 0.0 Min. : -457.46 Min. : 0.00
#> 1st Qu.: 0.00 1st Qu.: 0.0 1st Qu.: 0.75 1st Qu.: 0.00
#> Median : 0.00 Median : 0.0 Median : 58.45 Median : 0.00
#> Mean : 93.12 Mean : 744.6 Mean : 462.45 Mean : 32.97
#> 3rd Qu.: 0.00 3rd Qu.: 0.0 3rd Qu.: 234.78 3rd Qu.: 0.00
#> Max. :17954.97 Max. :124206.2 Max. :112011.03 Max. :14506.49
#>
#> hy130n hy145n main
#> Min. :-5489.6 Min. :-29519.3 Mode :logical
#> 1st Qu.: 0.0 1st Qu.: -256.8 FALSE:33654
#> Median : 0.0 Median : 0.0 TRUE :25000
#> Mean : 339.1 Mean : -108.8
#> 3rd Qu.: 0.0 3rd Qu.: 0.0
#> Max. :40762.9 Max. : 49768.0
#>