[LE0102T35N] Housing type and average housing space for children and young persons aged 0-21 living at home by region, sex, age, type of housing, observations and year
Updated on DBnomics on February 22, 2023 (11:00 AM).
[Region] region
- [00] Sweden
- [01] Stockholm county
- [0114] Upplands Väsby
- [0115] Vallentuna
- [0117] Österåker
- [0120] Värmdö
- [0123] Järfälla
- [0125] Ekerö
- [0126] Huddinge
- [0127] Botkyrka
- [0128] Salem
- [0136] Haninge
- [0138] Tyresö
- [0139] Upplands-Bro
- [0140] Nykvarn
- [0160] Täby
- [0162] Danderyd
- [0163] Sollentuna
- [0180] Stockholm
- [0181] Södertälje
- [0182] Nacka
- [0183] Sundbyberg
- [0184] Solna
- [0186] Lidingö
- [0187] Vaxholm
- [0188] Norrtälje
- [0191] Sigtuna
- [0192] Nynäshamn
- [03] Uppsala county
- [0305] Håbo
- [0319] Älvkarleby
- [0330] Knivsta
- [0331] Heby
- [0360] Tierp
- [0380] Uppsala
- [0381] Enköping
- [0382] Östhammar
- [04] Södermanland county
- [0428] Vingåker
- [0461] Gnesta
- [0480] Nyköping
- [0481] Oxelösund
- [0482] Flen
- [0483] Katrineholm
- [0484] Eskilstuna
- [0486] Strängnäs
- [0488] Trosa
- [05] Östergötland county
- [0509] Ödeshög
- [0512] Ydre
- [0513] Kinda
- [0560] Boxholm
- [0561] Åtvidaberg
- [0562] Finspång
- [0563] Valdemarsvik
- [0580] Linköping
- [0581] Norrköping
- [0582] Söderköping
- [0583] Motala
- [0584] Vadstena
- [0586] Mjölby
- [06] Jönköping county
- [0604] Aneby
- [0617] Gnosjö
- [0642] Mullsjö
- [0643] Habo
- [0662] Gislaved
- [0665] Vaggeryd
- [0680] Jönköping
- [0682] Nässjö
- [0683] Värnamo
- [0684] Sävsjö
- [0685] Vetlanda
- [0686] Eksjö
- [0687] Tranås
- [07] Kronoberg county
- [0760] Uppvidinge
- [0761] Lessebo
- [0763] Tingsryd
- [0764] Alvesta
- [0765] Älmhult
- [0767] Markaryd
- [0780] Växjö
- [0781] Ljungby
- [08] Kalmar county
- [0821] Högsby
- [0834] Torsås
- [0840] Mörbylånga
- [0860] Hultsfred
- [0861] Mönsterås
- [0862] Emmaboda
- [0880] Kalmar
- [0881] Nybro
- [0882] Oskarshamn
- [0883] Västervik
- [0884] Vimmerby
- [0885] Borgholm
- [09] Gotland county
- [0980] Gotland
- [10] Blekinge county
- [1060] Olofström
- [1080] Karlskrona
- [1081] Ronneby
- [1082] Karlshamn
- [1083] Sölvesborg
- [12] Skåne county
- [1214] Svalöv
- [1230] Staffanstorp
- [1231] Burlöv
- [1233] Vellinge
- [1256] Östra Göinge
- [1257] Örkelljunga
- [1260] Bjuv
- [1261] Kävlinge
- [1262] Lomma
- [1263] Svedala
- [1264] Skurup
- [1265] Sjöbo
- [1266] Hörby
- [1267] Höör
- [1270] Tomelilla
- [1272] Bromölla
- [1273] Osby
- [1275] Perstorp
- [1276] Klippan
- [1277] Åstorp
- [1278] Båstad
- [1280] Malmö
- [1281] Lund
- [1282] Landskrona
- [1283] Helsingborg
- [1284] Höganäs
- [1285] Eslöv
- [1286] Ystad
- [1287] Trelleborg
- [1290] Kristianstad
- [1291] Simrishamn
- [1292] Ängelholm
- [1293] Hässleholm
- [13] Halland county
- [1315] Hylte
- [1380] Halmstad
- [1381] Laholm
- [1382] Falkenberg
- [1383] Varberg
- [1384] Kungsbacka
- [14] Västra Götaland county
- [1401] Härryda
- [1402] Partille
- [1407] Öckerö
- [1415] Stenungsund
- [1419] Tjörn
- [1421] Orust
- [1427] Sotenäs
- [1430] Munkedal
- [1435] Tanum
- [1438] Dals-Ed
- [1439] Färgelanda
- [1440] Ale
- [1441] Lerum
[Kon] sex
- [5+6] boys and girls
- [5] boys
- [6] girls
[Alder] age
- [0-17] 0-17 years
- [0-21] 0-21 years
[Boendeform] type of housing
- [UppgSakn] information missing
- [EgnaH] owner-occupied housing
- [HR] rented dwelling
- [BR] tenant-owned dwelling
- [Ovr] other
- [Tot] total
[ContentsCode] observations
- [000002A8] Number of children
- [000002A9] Average housing space for children living at home
Search filters
region [Region] (160)
sex [Kon] (3)
age [Alder] (2)
type of housing [Boendeform] (6)
observations [ContentsCode] (2)
This dataset has 23,112 series:
- from
- 2014=48,260
- to
- 2020=55,168
- min:
- 39,290
- max:
- 55,168
- avg:
- 47,926.286
- σ:
- 5,166.325
- from
- 2014=294,225
- to
- 2020=354,325
- min:
- 294,225
- max:
- 354,325
- avg:
- 323,052.143
- σ:
- 21,134.877
- from
- 2014=25
- to
- 2020=25
- min:
- 25
- max:
- 25
- avg:
- 25
- σ:
- 0
- from
- 2014=1,379,236
- to
- 2020=1,413,381
- min:
- 1,377,024
- max:
- 1,413,381
- avg:
- 1,397,493.857
- σ:
- 13,181.629
- from
- 2014=33
- to
- 2020=32
- min:
- 32
- max:
- 33
- avg:
- 32.143
- σ:
- 0.35
- from
- 2014=604,249
- to
- 2020=679,873
- min:
- 604,249
- max:
- 680,212
- avg:
- 651,414
- σ:
- 27,712.044
- from
- 2014=22
- to
- 2020=22
- min:
- 21
- max:
- 22
- avg:
- 21.714
- σ:
- 0.452
- from
- 2014=4,452
- to
- 2020=7,283
- min:
- 4,220
- max:
- 7,524
- avg:
- 6,101.286
- σ:
- 1,328.67
- from
- 2014=18
- to
- 2020=15
- min:
- 15
- max:
- 18
- avg:
- 16
- σ:
- 1.195
Series code | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|---|
[00.5+6.0-17.UppgSakn.000002A8] | 48260 | 49494 | 39290 | 42492 | 47600 | 53180 | 55168 |
[00.5+6.0-17.UppgSakn.000002A9] | NA | NA | NA | NA | NA | NA | NA |
[00.5+6.0-21.BR.000002A8] | 294225 | 300820 | 311189 | 320550 | 333296 | 346960 | 354325 |
[00.5+6.0-21.BR.000002A9] | 25 | 25 | 25 | 25 | 25 | 25 | 25 |
[00.5+6.0-21.EgnaH.000002A8] | 1379236 | 1377024 | 1397113 | 1400861 | 1406208 | 1408634 | 1413381 |
[00.5+6.0-21.EgnaH.000002A9] | 33 | 32 | 32 | 32 | 32 | 32 | 32 |
[00.5+6.0-21.HR.000002A8] | 604249 | 622209 | 640237 | 660422 | 672696 | 680212 | 679873 |
[00.5+6.0-21.HR.000002A9] | 22 | 22 | 22 | 22 | 21 | 21 | 22 |
[00.5+6.0-21.Ovr.000002A8] | 4452 | 4220 | 5297 | 6450 | 7483 | 7524 | 7283 |
[00.5+6.0-21.Ovr.000002A9] | 18 | 17 | 17 | 15 | 15 | 15 | 15 |
Showing results 11 - 20 / 23,112