[LoneSpridSektorYrk] Average salary and salary dispersion by sector, occupational group (SSYK), sex, observations and year
Updated on DBnomics on April 8, 2022 (1:30 PM).
[Sektor] sector
- [0] all sectors
- [1-3] public sector
- [1] central government
- [2] primary municipalities
[Yrkesgrupp] occupational group (SSYK)
- [0000] All
- [011] Armed forces
- [111] Legislators and senior government officials
- [112] Senior officials of special-interest organisations
- [121] Directors and chief executives
- [122] Production and operations managers
- [123] Other specialist managers
- [124] Foreman
- [131] Managers of small enterprises
- [211] Physicists, chemists and related professionals
- [212] Mathematicians and statisticians
- [213] Computing professionals
- [214] Architects, engineers and related professionals
- [221] Life science professionals
- [222] Health professionals (except nursing)
- [223] Nursing and midwifery professionals
- [231] College, university and higher education teaching professionals
- [232] Secondary education teaching professionals
- [233] Primary education teaching professionals
- [234] Special education teaching professionals
- [235] Other teaching professionals
- [241] Business professionals
- [242] Legal professionals
- [243] Archivists, librarians and related information professionals
- [244] Social science and linguistics professionals (except social work professionals)
- [245] Writers and creative or performing artists
- [246] Religious professionals
- [247] Public service administrative professionals
- [248] Administrative professionals of special-interest organisations
- [249] Psychologists, social work and related professionals
- [311] Physical and engineering science technicians
- [312] Computer associate professionals
- [313] Optical and electronic equipment operators
- [314] Ship and aircraft controllers and technicians
- [315] Safety and quality inspectors
- [321] Agronomy and forestry technicians
- [322] Health associate professionals (except nursing)
- [323] Nursing associate professionals
- [324] Life science technicians
- [331] Pre-primary education teaching associate professionals
- [332] Other teaching associate professionals
- [341] Finance and sales associate professionals
- [342] Business services agents and trade brokers
- [343] Administrative associate professionals
- [344] Customs, tax and related government associate professionals
- [345] Police officers and detectives
- [346] Social work associate professionals
- [347] Artistic, entertainment and sports associate professionals
- [348] Religious associate professionals
- [411] Office secretaries and data entry operators
- [412] Numerical clerks
- [413] Stores and transport clerks
- [414] Library and filing clerks
- [415] Mail carriers and sorting clerks
- [419] Other office clerks
- [421] Cashiers, tellers and related clerks
- [422] Client information clerks
- [511] Travel attendants and related workers
- [512] Housekeeping and restaurant services workers
- [513] Personal care and related workers
- [514] Other personal services workers
- [515] Protective services workers
- [521] Fashion and other models
- [522] Shop and stall salespersons and demonstrators
- [611] Market gardeners and crop growers
- [612] Animal producers and related workers
- [613] Crop and animal producers
- [614] Forestry and related workers
- [615] Fishery workers, hunters and trappers
- [711] Miners, shot firers, stonecutters and carvers
- [712] Building frame and related trades workers
- [713] Building finishers and related trades workers
- [714] Painters, building structure cleaners and related trades workers
- [721] Metal moulders, welders, sheet-metal workers, structural-metal preparers and related trades workers
- [722] Blacksmiths, tool-makers and related trades workers
- [723] Machinery mechanics and fitters
- [724] Electrical and electronic equipment mechanics and fitters
- [731] Precision workers in metal and related materials
- [732] Potters, glass-makers and related trades workers
- [733] Handicraft workers in wood, textile, leather and related materials
- [734] Craft printing and related trades workers
- [741] Food processing and related trades workers
- [742] Wood treaters, cabinet-makers and related trades workers
- [743] Garment and related trades workers
- [744] Pelt, leather and shoemaking trades workers
- [811] Mineral-processing-plant operators
- [812] Metal-processing-plant operators
- [813] Glass, ceramics and related plant operators
- [814] Wood-processing- and papermaking-plant operators
- [815] Chemical-processing-plant operators
- [816] Power-production and related plant operators
- [817] Industrial-robot operators
- [821] Metal- and mineral-products machine operators
- [822] Chemical-products machine operators
- [823] Rubber- and plastic-products machine operators
- [824] Wood-products machine operators
- [825] Printing-, binding- and paper-products machine operators
- [826] Textile-, fur- and leather-products machine operators
- [827] Food and related products machine operators
- [828] Assemblers
- [829] Other machine operators and assemblers
- [831] Locomotive-engine drivers and related worker
- [832] Motor-vehicle drivers
- [833] Agricultural and other mobile-plant operators
- [834] Ships´ deck crews and related workers
- [911] Street vendors and market salespersons
- [912] Helpers and cleaners
- [913] Helpers in restaurants
- [914] Doorkeepers, newspaper and package deliverers and related workers
- [915] Garbage collectors and related labourers
- [919] Other sales and services elementary occupations
- [921] Agricultural, fishery and related labourers
- [931] Mining and construction labourers
- [932] Manufacturing labourers
- [933] Transport labourers and freight handlers
[Kon] sex
- [1] men
- [2] women
- [1+2] total
[ContentsCode] observations
- [AM0110G1] Monthly salary
- [AM0110G2] Median
- [AM0110G3] 10th percentile
- [AM0110G4] 25th percentile
- [AM0110G5] 75th percentile
- [AM0110G6] 90th percentile
Search filters
sector [Sektor] (4)
occupational group (SSYK) [Yrkesgrupp] (115)
sex [Kon] (3)
observations [ContentsCode] (6)
This dataset has 16,560 series:
- from
- 2004=27,800
- to
- 2013=36,000
- min:
- 27,800
- max:
- 36,000
- avg:
- 31,890
- σ:
- 2,663.625
- from
- 2004=37,800
- to
- 2013=48,000
- min:
- 37,800
- max:
- 48,000
- avg:
- 42,970
- σ:
- 3,286.351
- from
- 2004=21,500
- to
- 2013=28,400
- min:
- 21,500
- max:
- 28,400
- avg:
- 24,930
- σ:
- 2,264.531
- from
- 2004=19,900
- to
- 2013=26,100
- min:
- 19,900
- max:
- 26,100
- avg:
- 22,990
- σ:
- 2,071.449
- from
- 2004=16,000
- to
- 2013=20,400
- min:
- 16,000
- max:
- 20,400
- avg:
- 18,270
- σ:
- 1,482.599
- from
- 2004=17,600
- to
- 2013=23,000
- min:
- 17,600
- max:
- 23,000
- avg:
- 20,310
- σ:
- 1,811.877
- from
- 2004=23,300
- to
- 2013=30,800
- min:
- 23,300
- max:
- 30,800
- avg:
- 26,990
- σ:
- 2,415.14
- from
- 2004=28,100
- to
- 2013=38,300
- min:
- 28,100
- max:
- 38,300
- avg:
- 33,100
- σ:
- 3,300.606
- from
- 2004=29,200
- to
- 2013=31,600
- min:
- 29,200
- max:
- 33,700
- avg:
- 31,150
- σ:
- 1,233.896
- from
- 2004=27,000
- to
- 2013=30,300
- min:
- 27,000
- max:
- 32,100
- avg:
- 29,360
- σ:
- 1,546.739
Series code | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 |
---|---|---|---|---|---|---|---|---|---|---|
[0.0000.1.AM0110G5] | 27800 | 28600 | 29300 | 30200 | 31900 | 32800 | 33300 | 34000 | 35000 | 36000 |
[0.0000.1.AM0110G6] | 37800 | 38800 | 39900 | 40900 | 43200 | 44200 | 44700 | 45500 | 46700 | 48000 |
[0.0000.2.AM0110G1] | 21500 | 22100 | 22800 | 23500 | 24700 | 25700 | 26200 | 26800 | 27600 | 28400 |
[0.0000.2.AM0110G2] | 19900 | 20400 | 21000 | 21600 | 22800 | 23700 | 24200 | 24800 | 25400 | 26100 |
[0.0000.2.AM0110G3] | 16000 | 16400 | 16900 | 17200 | 18200 | 18900 | 19200 | 19500 | 20000 | 20400 |
[0.0000.2.AM0110G4] | 17600 | 18100 | 18600 | 19000 | 20100 | 21000 | 21400 | 21800 | 22500 | 23000 |
[0.0000.2.AM0110G5] | 23300 | 24000 | 24800 | 25500 | 26700 | 27700 | 28300 | 29000 | 29800 | 30800 |
[0.0000.2.AM0110G6] | 28100 | 29000 | 30000 | 31100 | 32800 | 34000 | 35000 | 35700 | 37000 | 38300 |
[0.011.1+2.AM0110G1] | 29200 | 29800 | 29900 | 31100 | 32000 | 31800 | 33700 | 31500 | 30900 | 31600 |
[0.011.1+2.AM0110G2] | 27000 | 27300 | 27600 | 28900 | 30000 | 29900 | 32100 | 30500 | 30000 | 30300 |
Showing results 11 - 20 / 16,560