[HE0202T16] Expenses and shares of total housing expenditures by type of expense, background variable, observations and year
Updated on DBnomics on April 6, 2022 (11:25 AM).
[Utgifter] type of expense
- [210] Rent
- [220] Maintenance and repair
- [230] Total housing expenditures
[BakgrVar] background variable
- [ESUB] single persons without children
- [SBUB] cohabiting persons without children
- [ESMB] single persons with children
- [SBMB] cohabiting persons with children
- [OVRIGA] other households
- [SAMTL] all households
- [18-29] 18-29 years
- [30-39] 30-39 years
- [40-49] 40-49 years
- [50-59] 50-59 years
- [60-64] 60-64 years
- [65-69] 65-69 years
- [70-79] 70-79 years
- [80+] 80+ years
- [total] age, total
- [totalt] all
- [-50] -50 sq.m.
- [50-70] 51-70 sq.m.
- [70-90] 71-90 sq.m.
- [90-110] 91-110 sq.m.
- [110-130] 111-130 sq.m.
- [131-kvm] 131- sq.m.
[ContentsCode] observations
- [000002VT] Expenses, mean value, SEK
- [000002VS] Expenses, Margin of error ±, SEK
- [000002VU] Share of total housing expenditures
- [000002VV] Share of total housing expenditures, Margin of error ±
- [000002VQ] Number of households with the expense
- [000002VR] Number of households with the expense, Margin of error ±
- [000002XQ] Number of households
- [000002XR] Number of households, Margin of error ±
Search filters
type of expense [Utgifter] (3)
background variable [BakgrVar] (22)
observations [ContentsCode] (8)
This dataset has 528 series:
- from
- 2015=324,240
- to
- 2020=393,080
- min:
- 324,240
- max:
- 393,080
- avg:
- 351,886.667
- σ:
- 29,691.419
- from
- 2015=30,760
- to
- 2020=70,770
- min:
- 30,760
- max:
- 70,770
- avg:
- 46,530
- σ:
- 17,397.427
- from
- 2015=2,058
- to
- 2020=3,985
- min:
- 2,058
- max:
- 3,985
- avg:
- 2,743.667
- σ:
- 879.358
- from
- 2015=50,509
- to
- 2020=59,637
- min:
- 50,509
- max:
- 59,637
- avg:
- 53,997.333
- σ:
- 4,025.028
- from
- 2015=99.3
- to
- 2020=99.8
- min:
- 99.3
- max:
- 99.8
- avg:
- 99.533
- σ:
- 0.205
- from
- 2015=0.3
- to
- 2020=0.2
- min:
- 0.2
- max:
- 0.3
- avg:
- 0.267
- σ:
- 0.047
- from
- 2015=324,240
- to
- 2020=393,080
- min:
- 324,240
- max:
- 393,080
- avg:
- 351,886.667
- σ:
- 29,691.419
- from
- 2015=30,760
- to
- 2020=70,770
- min:
- 30,760
- max:
- 70,770
- avg:
- 46,530
- σ:
- 17,397.427
- from
- 2015=66,290
- to
- 2020=50,410
- min:
- 50,410
- max:
- 66,290
- avg:
- 60,203.333
- σ:
- 6,992.765
- from
- 2015=14,190
- to
- 2020=20,330
- min:
- 14,190
- max:
- 20,330
- avg:
- 16,533.333
- σ:
- 2,709.124
Series code | 2015 | 2017 | 2020 |
---|---|---|---|
[210.-50.000002VQ] | 324240 | 338340 | 393080 |
[210.-50.000002VR] | 30760 | 38060 | 70770 |
[210.-50.000002VS] | 2058 | 2188 | 3985 |
[210.-50.000002VT] | 50509 | 51846 | 59637 |
[210.-50.000002VU] | 99.3 | 99.5 | 99.8 |
[210.-50.000002VV] | 0.3 | 0.3 | 0.2 |
[210.-50.000002XQ] | 324240 | 338340 | 393080 |
[210.-50.000002XR] | 30760 | 38060 | 70770 |
[210.110-130.000002VQ] | 66290 | 63910 | 50410 |
[210.110-130.000002VR] | 14190 | 15080 | 20330 |
Showing results 1 - 10 / 528