[ITspecRekryteringN] IT specialists by recruitment, study domain, observations and year
Updated on DBnomics on April 8, 2022 (1:30 PM).
[Rekrytering] recruitment
- [0040] recruited/tried to recruit IT specialists
- [0050] had vacant positions for IT specialists that were difficult to fill
[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
- [000002WV] Percentage, percent
- [000002WW] Margin of error, ±
Search filters
recruitment [Rekrytering] (2)
study domain [Redovisningsgrupp] (30)
observations [ContentsCode] (2)
This dataset has 120 series:
- from
- 2013=NA
- to
- 2019=NA
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
- from
- 2013=NA
- to
- 2019=NA
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2013=NA
- to
- 2019=NA
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
- from
- 2013=NA
- to
- 2019=NA
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
- from
- 2013=NA
- to
- 2019=NA
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2013=NA
- to
- 2019=NA
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2013=NA
- to
- 2019=NA
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
- from
- 2013=NA
- to
- 2019=NA
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
- from
- 2013=5
- to
- 2019=8
- min:
- 5
- max:
- 8
- avg:
- 6.286
- σ:
- 1.03
- from
- 2013=1
- to
- 2019=1
- min:
- 1
- max:
- 1
- avg:
- 1
- σ:
- 0
Series code | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|---|
[0040.0-4.000002WV] | NA | NA | NA | NA | 1 | NA | NA |
[0040.0-4.000002WW] | NA | NA | NA | NA | 0 | NA | NA |
[0040.0-9.000002WV] | NA | NA | NA | NA | 1 | NA | NA |
[0040.0-9.000002WW] | NA | NA | NA | NA | 1 | NA | NA |
[0040.0.000002WV] | NA | NA | NA | NA | 0 | NA | NA |
[0040.0.000002WW] | NA | NA | NA | NA | 0 | NA | NA |
[0040.1-4.000002WV] | NA | NA | NA | NA | 1 | NA | NA |
[0040.1-4.000002WW] | NA | NA | NA | NA | 1 | NA | NA |
[0040.10-33.000002WV] | 5 | 6 | 5 | 7 | 6 | 7 | 8 |
[0040.10-33.000002WW] | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Showing results 1 - 10 / 120