[VattenAnv] Water use in industry, 1000s cubic meters by region, type of water, observations and year
Updated on DBnomics on April 11, 2022 (12:50 PM).
[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
- [VD01] Bothnian Bay
- [VD02] Bothnian Sea
- [VD03] North Baltic Sea
- [VD04] South Baltic Sea
- [VD05] Skagerrak and Kattegat
[VattenTyp] type of water
- [10] purchased potable water
- [20] purchased potable water and reused water
- [30] groundwater from own source
- [40] groundwater from own source including drainage water
- [50] surface water from own source
- [60] sea water from own source
- [70] water from unknown source
- [80] total volume of freshwater
- [90] total volume of water
[ContentsCode] observations
- [0000013Z] Water use in industry
Search filters
region [Region] (27)
type of water [VattenTyp] (9)
observations [ContentsCode] (1)
This dataset has 243 series:
- from
- 2005=114,919
- to
- 2020=134,249
- min:
- 80,665
- max:
- 134,249
- avg:
- 111,002.5
- σ:
- 19,275.503
- from
- 2005=NA
- to
- 2020=198,335
- min:
- 149,301
- max:
- 198,335
- avg:
- 173,818
- σ:
- 24,517
- from
- 2005=8,891
- to
- 2020=22,577
- min:
- 8,891
- max:
- 22,577
- avg:
- 14,472.5
- σ:
- 5,001.342
- from
- 2005=NA
- to
- 2020=79,696
- min:
- 51,118
- max:
- 79,696
- avg:
- 65,407
- σ:
- 14,289
- from
- 2005=1,448,102
- to
- 2020=1,271,929
- min:
- 1,271,929
- max:
- 1,545,959
- avg:
- 1,385,770.75
- σ:
- 116,529.243
- from
- 2005=615,835
- to
- 2020=545,863
- min:
- 545,863
- max:
- 638,836
- avg:
- 587,691.75
- σ:
- 40,498.701
- from
- 2005=67,116
- to
- 2020=NA
- min:
- 38,143
- max:
- 67,116
- avg:
- 52,629.5
- σ:
- 14,486.5
- from
- 2005=1,639,027
- to
- 2020=1,550,798
- min:
- 1,477,511
- max:
- 1,711,623
- avg:
- 1,594,739.75
- σ:
- 88,454.101
- from
- 2005=2,254,862
- to
- 2020=2,096,661
- min:
- 2,096,661
- max:
- 2,261,857
- avg:
- 2,182,431.75
- σ:
- 76,286.184
- from
- 2005=9,857
- to
- 2020=6,926
- min:
- 6,926
- max:
- 10,159
- avg:
- 8,684.25
- σ:
- 1,363.125
Series code | 2005 | 2010 | 2015 | 2020 |
---|---|---|---|---|
[00.10.0000013Z] | 114919 | 114177 | 80665 | 134249 |
[00.20.0000013Z] | NA | NA | 149301 | 198335 |
[00.30.0000013Z] | 8891 | 13343 | 13079 | 22577 |
[00.40.0000013Z] | NA | NA | 51118 | 79696 |
[00.50.0000013Z] | 1448102 | 1545959 | 1277093 | 1271929 |
[00.60.0000013Z] | 615835 | 550233 | 638836 | 545863 |
[00.70.0000013Z] | 67116 | 38143 | NA | NA |
[00.80.0000013Z] | 1639027 | 1711623 | 1477511 | 1550798 |
[00.90.0000013Z] | 2254862 | 2261857 | 2116347 | 2096661 |
[01.10.0000013Z] | 9857 | 10159 | 7795 | 6926 |
Showing results 1 - 10 / 243