[NV1701T12Ar] Number of rooms, cottages and beds by region, Type of housing for overnight stay, observations and year
Updated on DBnomics on April 15, 2022 (4:43 AM).
[Region] region
- [00] Sweden
- [0010] Greater Stockholm
- [0020] Greater Gothenburg
- [0030] Greater Malmö
- [0060] Sweden excluding metropolitan areas
- [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
[Overnattningstyp] Type of housing for overnight stay
- [010] hotel rooms
- [012] hotel beds
- [014] cottages at holiday villages
- [016] beds at holiday villages
- [017] rooms in hostels
- [018] beds at hostels
- [025] beds, total at hotels, holiday villages and hostels
[ContentsCode] observations
- [NV1701AP] Number of establishments
Search filters
region [Region] (26)
Type of housing for overnight stay [Overnattningstyp] (7)
observations [ContentsCode] (1)
This dataset has 182 series:
- from
- 2008=106,581
- to
- 2021=134,156
- min:
- 106,581
- max:
- 134,156
- avg:
- 119,128.929
- σ:
- 8,231.117
- from
- 2008=218,164
- to
- 2021=273,988
- min:
- 218,164
- max:
- 273,988
- avg:
- 240,539.643
- σ:
- 16,496.906
- from
- 2008=8,684
- to
- 2021=8,352
- min:
- 7,526
- max:
- 8,684
- avg:
- 8,165.357
- σ:
- 340.906
- from
- 2008=42,207
- to
- 2021=41,325
- min:
- 36,987
- max:
- 43,661
- avg:
- 40,663.643
- σ:
- 1,871.799
- from
- 2008=0
- to
- 2021=15,504
- min:
- 0
- max:
- 15,812
- avg:
- 3,362.929
- σ:
- 6,439.823
- from
- 2008=39,504
- to
- 2021=44,131
- min:
- 39,504
- max:
- 47,155
- avg:
- 43,881.286
- σ:
- 1,930.729
- from
- 2008=299,875
- to
- 2021=359,444
- min:
- 299,875
- max:
- 359,444
- avg:
- 325,084.571
- σ:
- 17,069.116
- from
- 2008=26,318
- to
- 2021=41,322
- min:
- 26,238
- max:
- 41,322
- avg:
- 33,492.429
- σ:
- 4,799.596
- from
- 2008=51,161
- to
- 2021=79,490
- min:
- 51,161
- max:
- 79,490
- avg:
- 63,637.714
- σ:
- 8,879.857
- from
- 2008=271
- to
- 2021=197
- min:
- 197
- max:
- 312
- avg:
- 253
- σ:
- 44.882
Series code | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[00.010.NV1701AP] | 106581 | 108168 | 110413 | 112628 | 113944 | 117228 | 118614 | 117707 | 119855 | 122948 | 125623 | 129033 | 130907 | 134156 |
[00.012.NV1701AP] | 218164 | 221767 | 224444 | 225343 | 228387 | 235752 | 238852 | 236555 | 240883 | 245963 | 251894 | 260436 | 265127 | 273988 |
[00.014.NV1701AP] | 8684 | 8561 | 8113 | 8076 | 7812 | 8133 | 8449 | 8225 | 7526 | 7547 | 8544 | 8220 | 8073 | 8352 |
[00.016.NV1701AP] | 42207 | 42802 | 41528 | 41290 | 39857 | 40369 | 42404 | 40468 | 37223 | 36987 | 43661 | 39430 | 39740 | 41325 |
[00.017.NV1701AP] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15765 | 15812 | 15504 |
[00.018.NV1701AP] | 39504 | 41013 | 42642 | 45191 | 44544 | 46100 | 47155 | 44050 | 42361 | 43296 | 44384 | 44837 | 45130 | 44131 |
[00.025.NV1701AP] | 299875 | 305582 | 308614 | 311824 | 312788 | 322221 | 328411 | 321073 | 320467 | 326246 | 339939 | 344703 | 349997 | 359444 |
[0010.010.NV1701AP] | 26318 | 26238 | 28042 | 29939 | 30738 | 32014 | 32701 | 33184 | 34828 | 36837 | 37719 | 38768 | 40246 | 41322 |
[0010.012.NV1701AP] | 51161 | 51585 | 54306 | 55964 | 57836 | 60194 | 61885 | 62769 | 65155 | 69274 | 71223 | 73524 | 76562 | 79490 |
[0010.014.NV1701AP] | 271 | 271 | 277 | 312 | 312 | 311 | 276 | 289 | 216 | 208 | 208 | 197 | 197 | 197 |
Showing results 1 - 10 / 182