[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

Name: 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
Creator: DBnomics

Updated on DBnomics on February 22, 2023 (11:00 AM).

Documentation

[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:

Trim NA Values

Series code	2014	2015	2016	2017	2018	2019	2020
[00.5+6.0-21.Tot.000002A8]	2336468	2359388	2396939	2434618	2471362	2501039	2514868
[00.5+6.0-21.Tot.000002A9]	29	29	28	28	28	28	28
[00.5+6.0-21.UppgSakn.000002A8]	54306	55115	43103	46335	51679	57709	60006
[00.5+6.0-21.UppgSakn.000002A9]	NA	NA	NA	NA	NA	NA	NA
[00.5.0-17.BR.000002A8]	127239	131870	137979	143358	149673	156224	159870
[00.5.0-17.BR.000002A9]	24	24	24	24	24	24	25
[00.5.0-17.EgnaH.000002A8]	596427	601851	616041	620716	623693	624585	625542
[00.5.0-17.EgnaH.000002A9]	32	32	32	32	32	32	32
[00.5.0-17.HR.000002A8]	265714	276029	286293	297163	303339	306606	306300
[00.5.0-17.HR.000002A9]	22	22	21	21	21	21	21

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