[Miljopolicy] Has environmental policy or equivalent to reduce environmental impact by measure, study domain, observations and year
Updated on DBnomics on April 8, 2022 (1:30 PM).
[Atgard] measure
- [080] choose travel-free meetings
- [082] when using IT, by e.g. using a screen saver or reducing the number of printouts
- [084] choose environmentally certified suppliers
- [086] choose system and/or hardware according to energy consumption
[Redovisningsgrupp] study domain
- [Tot1-9] 1-9 employees in total
- [0] 0 employees
- [0-4] 0-4 employees
- [0-9] 0-9 employees
- [1-4] 1-4 employees
- [5-9] 5-9 employees
- [Tot250] 10 or more employees in total
- [10-49] 10-49 employees
- [50-249] 50-249 employees
- [250-] 250 or more employees
- [TotSNI] Total (SNI 10-63, 68-74, 77-82, 95.1)
- [10-33] Manufacturing (SNI 10-33)
- [35-39] Energy and recycling (SNI 35-39)
- [41-43] Construction (SNI 41-43)
- [45-47] Trade; motor vehicle and motorcycle garages (SNI 45-47)
- [49-53] Transport and storage enterprises (SNI 49-53)
- [55-56] Accommodation and food services (SNI 55-56)
- [58-63] Information and communication enterprises (SNI 58-63)
- [68] Real estate companies and managers (SNI 68)
- [69-82+95.1exkl.75] Other service companies (SNI 69-74, 77-82, 95.1)
- [IKT] ICT sector (SNI 26.1-26.4, 26.8, 46.5, 58.2, 61-62, 63.1, 95.1)
- [SE] Sweden
- [RIKS1] Stockholm
- [RIKS2] Östra mellansverige
- [RIKS3] Småland med öarna
- [RIKS4] Sydsverige
- [RIKS5] Västsverige
- [RIKS6] Norra mellansverige
- [RIKS7] Mellersta Norrland
- [RIKS8] Övre Norrland
[ContentsCode] observations
- [000001Y9] Percentage, percent
- [000001YA] Margin of error, ±
Search filters
measure [Atgard] (4)
study domain [Redovisningsgrupp] (30)
observations [ContentsCode] (2)
This dataset has 240 series:
- from
- 2014=19
- to
- 2020=41
- min:
- 18
- max:
- 41
- avg:
- 25
- σ:
- 7.892
- from
- 2014=3
- to
- 2020=3
- min:
- 3
- max:
- 4
- avg:
- 3.143
- σ:
- 0.35
- from
- 2014=19
- to
- 2020=42
- min:
- 19
- max:
- 42
- avg:
- 25.429
- σ:
- 8.192
- from
- 2014=3
- to
- 2020=3
- min:
- 3
- max:
- 3
- avg:
- 3
- σ:
- 0
- from
- 2014=19
- to
- 2020=37
- min:
- 15
- max:
- 37
- avg:
- 23
- σ:
- 7.091
- from
- 2014=5
- to
- 2020=4
- min:
- 4
- max:
- 5
- avg:
- 4.429
- σ:
- 0.495
- from
- 2014=17
- to
- 2020=47
- min:
- 17
- max:
- 47
- avg:
- 28.143
- σ:
- 9.478
- from
- 2014=4
- to
- 2020=4
- min:
- 4
- max:
- 5
- avg:
- 4.143
- σ:
- 0.35
- from
- 2014=26
- to
- 2020=61
- min:
- 20
- max:
- 61
- avg:
- 35.429
- σ:
- 13.297
- from
- 2014=3
- to
- 2020=4
- min:
- 3
- max:
- 4
- avg:
- 3.143
- σ:
- 0.35
Series code | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|---|
[080.0-4.000001Y9] | 19 | 19 | 22 | 18 | 24 | 32 | 41 |
[080.0-4.000001YA] | 3 | 3 | 3 | 3 | 4 | 3 | 3 |
[080.0-9.000001Y9] | 19 | 19 | 22 | 19 | 24 | 33 | 42 |
[080.0-9.000001YA] | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
[080.0.000001Y9] | 19 | 17 | 21 | 15 | 23 | 29 | 37 |
[080.0.000001YA] | 5 | 4 | 4 | 5 | 5 | 4 | 4 |
[080.1-4.000001Y9] | 17 | 23 | 24 | 24 | 25 | 37 | 47 |
[080.1-4.000001YA] | 4 | 4 | 4 | 5 | 4 | 4 | 4 |
[080.10-33.000001Y9] | 26 | 31 | 29 | 20 | 32 | 49 | 61 |
[080.10-33.000001YA] | 3 | 3 | 3 | 3 | 3 | 3 | 4 |
Showing results 1 - 10 / 240