[LghSpboAr] Completed dwellings in special housing in newly constructed buildings by region, type of special housing, observations and year
Updated on DBnomics on February 22, 2023 (11:00 AM).
[Region] region
- [00] Sweden
- [01] Stockholm county
- [03] Uppsala county
- [04] Södermanland county
- [05] Östergötland county
- [06] Jönköping county
- [07] Kronoberg county
- [08] Kalmar county
- [09] Gotland county
- [10] Blekinge county
- [12] Skåne county
- [13] Halland county
- [14] Västra Götaland county
- [17] Värmland county
- [18] Örebro county
- [19] Västmanland county
- [20] Dalarna county
- [21] Gävleborg county
- [22] Västernorrland county
- [23] Jämtland county
- [24] Västerbotten county
- [25] Norrbotten county
[TypAvSpecialbostad] type of special housing
- [SPECÄLD] special housing for elderly/disabled persons
- [SPECSTUD] housing for students
- [SPECANNAN] other special housing
[ContentsCode] observations
- [0000005R] Completed dwellings in special housing in newly constructed buildings
Search filters
region [Region] (22)
type of special housing [TypAvSpecialbostad] (3)
observations [ContentsCode] (1)
This dataset has 66 series:
Series code | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[07.SPECÄLD.0000005R] | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 22 | 10 | 2 | 0 | 28 | 13 | 6 | 6 | 0 | 12 | 10 | 0 | 62 | 71 | 82 | 54 | 6 | 72 |
[08.SPECANNAN.0000005R] | 0 | 25 | 16 | 92 | 12 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 4 | 0 | 8 | 0 | 6 | 0 | 0 | 0 |
[08.SPECSTUD.0000005R] | 0 | 92 | 48 | 26 | 0 | 0 | 50 | 50 | 50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 125 |
[08.SPECÄLD.0000005R] | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 15 | 5 | 7 | 17 | 0 | 34 | 0 | 42 | 5 | 0 | 54 | 28 | 79 | 19 | 0 | 95 | 146 | 60 |
[09.SPECANNAN.0000005R] | 5 | 12 | 10 | 0 | 0 | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 0 |
[09.SPECSTUD.0000005R] | 0 | 0 | 5 | 0 | 43 | 0 | 43 | 0 | 8 | 120 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 |
[09.SPECÄLD.0000005R] | 0 | 0 | 0 | 0 | 0 | 12 | 113 | 10 | 100 | 0 | 0 | 0 | 0 | 0 | 30 | 50 | 0 | 0 | 30 | 0 | 0 | 0 | 0 | 68 | 0 |
[10.SPECANNAN.0000005R] | 0 | 12 | 5 | 12 | 52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 8 | 8 | 0 | 46 | 0 |
[10.SPECSTUD.0000005R] | 0 | 0 | 146 | 60 | 80 | 40 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 118 | 0 | 0 | 0 | 0 | 44 | 0 | 0 | 0 | 0 | 0 |
[10.SPECÄLD.0000005R] | 0 | 0 | 0 | 0 | 0 | 44 | 64 | 0 | 0 | 72 | 6 | 0 | 4 | 18 | 8 | 0 | 0 | 0 | 120 | 0 | 0 | 20 | 0 | 36 | 167 |
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