[LoneSpridSektorYrkA] Average salary and salary dispersion by sector, occuptional (SSYK 2012), sex, observations and year
Retrieved by DBnomics on February 22, 2023 (11:00 AM).
[0] all sectors
[1-3] public sector
[1] central government
[2] primary municipalities
[0000] All
[011] Commissioned armed forces officers
[021] Non-commissioned armed forces officers
[031] Armed forces occupations, other ranks
[111] Legislators and senior officials
[112] Managing directors and chief executives
[121] Finance managers
[122] Human resource managers
[123] Administration and planning managers
[124] Information, communication and public relations managers
[125] Sales and marketing managers
[129] Administration and service managers not elsewhere classified
[131] Information and communications technology service managers
[132] Supply, logistics and transport managers
[133] Research and development managers
[134] Architectural and engineering managers
[135] Real estate and head of administration manager
[136] Production managers in construction and mining
[137] Production managers in manufacturing
[138] Forestry and agricultural production managers
[141] Primary and secondary schools and adult education managers
[142] Preschool managers
[149] Education managers not elsewhere classified
[151] Health care managers
[152] Managers in social and curative care
[153] Elderly care managers
[154] Managers and leaders within religious bodies
[159] Other social services managers
[161] Financial and insurance managers
[171] Hotel and conference managers
[172] Restaurant managers
[173] Retail and wholesale trade managers
[174] Sports, leisure and wellness managers
[179] Other services managers not elsewhere classified
[211] Physicists and chemists
[212] Mathematicians, actuaries and statisticians
[213] Biologists, pharmacologists and specialists in agriculture and forestry
[214] Engineering professionals
[216] Architects and surveyors
[217] Designers
[218] Specialists within environmental and health protection
[221] Medical doctors
[222] Nursing professionals
[223] Nursing professionals (cont.)
[224] Psychologists and psychotherapists
[225] Veterinarians
[226] Dentists
[227] Naprapaths, physiotherapists, occupational therapists
[228] Specialists in health care not elsewhere classified
[231] University and higher education teachers
[232] Vocational education teachers
[233] Secondary education teachers
[234] Primary- and pre-school teachers
[235] Teaching professionals not elsewhere classified
[241] Accountants, financial analysts and fund managers
[242] Organisation analysts, policy administrators and human resource specialists
[243] Marketing and public relations professionals
[251] ICT architects, systems analysts and test managers
[261] Legal professionals
[262] Museum curators and librarians and related professionals
[264] Authors, journalists and linguists
[265] Creative and performing artists
[266] Social work and counselling professionals
[267] Religious professionals and deacons
[311] Physical and engineering science technicians
[312] Construction and manufacturing supervisors
[315] Ship and aircraft controllers and technicians
[321] Medical and pharmaceutical technicians
[323] Complementary medicine therapists and associate professionals
[324] Veterinary assistants
[325] Dental hygienists
[331] Financial and accounting associate professionals
[332] Insurance advisers, sales and purchasing agents
[333] Business services agents
[334] Administrative and specialized secretaries
[335] Tax and related government associate professionals
[336] Police officers
[341] Social work and religious associate professionals
[342] Athletes, fitness instructors and recreational workers
[343] Photographers, interior decorators and entertainers
[344] Driving instructors and other instructors
[345] Culinary associate professionals
[351] ICT operations and user support technicians
[352] Broadcasting and audio-visual technicians
[411] Office assistants and other secretaries
[421] Croupiers, debt collectors and related workers
[422] Client information clerks
[432] Stores and transport clerks
[441] Library and filing clerks
[442] Postmen and postal facility workers
[443] Elected representatives
[511] Cabin crew, guides and related workers
[512] Cooks and cold-buffet managers
[513] Waiters and bartenders
[514] Hairdressers, beauty and body therapists
[515] Building caretakers and related workers
[516] Other service related workers
[522] Shop staff
[523] Cashiers and related clerks
[524] Event seller and telemarketers
[531] Child care workers and teachers aides
[532] Personal care workers in health services
[533] Health care assistants
[534] Attendants, personal assistants and related workers
[535] Dental nurses
[541] Other surveillance and security workers
[611] Market gardeners and crop growers
[612] Animal breeders and keepers
[613] Mixed crop and animal breeders
[621] Forestry and related workers
[622] Aquaculture and fishery workers
[711] Carpenters, bricklayers and construction workers
[712] Roofers, floor layers, plumbers and pipefitters
[713] Painters, Lacquerers, Chimney-sweepers and related trades workers
[721] Sheet and structural metal workers, moulders and welders, and related workers
[722] Blacksmiths, toolmakers and related trades workers
[723] Machinery mechanics and fitters
[731] Precision-instrument makers and handicraft workers
[732] Printing trades workers
[741] Electrical equipment installers and repairers
[742] Electronics and telecommunications installers and repairers
[752] Wood treaters, cabinet-makers and related trades workers
[753] Tailors, upholsterers and leather craftsmen
[761] Butchers, bakers and food processors
[811] Mining and mineral processing plant operators
[812] Metal processing and finishing plant operators
[813] Machine operators, chemical and pharmaceutical products
[814] Machine operators, rubber, plastic and paper products
[815] Machine operators, textile, fur and leather products
[816] Machine operators, food and related products
[817] Wood processing and papermaking plant operators
[818] Other stationary plant and machine operators
[819] Process control technicians
[821] Assemblers
[831] Train operators and related workers
[832] Car, van and motorcycle drivers
[833] Heavy truck and bus drivers
[834] Mobile plant operators
[835] Ships deck crews and related workers
[911] Cleaners and helpers
[912] Washers, window cleaners and other cleaning workers
[921] Berry pickers and planters
[931] Construction labourers
[932] Manufacturing labourers
[933] Dockers and ground personnel
[941] Fast-food workers, food preparation assistants
[952] Street and market vendors
[961] Recycling collectors
[962] Newspaper distributors, janitors and other service workers
[0001] Other professions
[0002] occupations unidentifiable
[1] men
[2] women
[1+2] total
[000000D5] Monthly salary
[000000D6] Median
[000000D7] 10th percentile
[000000D8] 25th percentile
[000000D9] 75th percentile
[000000DA] 90th percentile
Search filters
sector [Sektor] (4)
occuptional (SSYK 2012) [Yrkesgrupp12] (151)
sex [Kon] (3)
observations [ContentsCode] (6)
This dataset has 21,744 series:
[0.0000.1+2.000000D5] all sectors – All – total – Monthly salary
- from
- 2014=31,400
- to
- 2020=36,100
- min:
- 31,400
- max:
- 36,100
- avg:
- 33,700
- σ:
- 1,608.904
[0.0000.1+2.000000D6] all sectors – All – total – Median
- from
- 2014=28,000
- to
- 2020=32,400
- min:
- 28,000
- max:
- 32,400
- avg:
- 30,128.571
- σ:
- 1,502.107
[0.0000.1+2.000000D7] all sectors – All – total – 10th percentile
- from
- 2014=21,200
- to
- 2020=23,900
- min:
- 21,200
- max:
- 23,900
- avg:
- 22,542.857
- σ:
- 922.508
[0.0000.1+2.000000D8] all sectors – All – total – 25th percentile
- from
- 2014=24,200
- to
- 2020=27,400
- min:
- 24,200
- max:
- 27,400
- avg:
- 25,742.857
- σ:
- 1,118.49
[0.0000.1+2.000000D9] all sectors – All – total – 75th percentile
- from
- 2014=34,100
- to
- 2020=40,000
- min:
- 34,100
- max:
- 40,000
- avg:
- 37,014.286
- σ:
- 2,001.02
[0.0000.1+2.000000DA] all sectors – All – total – 90th percentile
- from
- 2014=44,500
- to
- 2020=51,200
- min:
- 44,500
- max:
- 51,200
- avg:
- 47,742.857
- σ:
- 2,344.512
[0.0000.1.000000D5] all sectors – All – men – Monthly salary
- from
- 2014=33,600
- to
- 2020=37,900
- min:
- 33,600
- max:
- 37,900
- avg:
- 35,700
- σ:
- 1,480.347
[0.0000.1.000000D6] all sectors – All – men – Median
- from
- 2014=29,500
- to
- 2020=33,700
- min:
- 29,500
- max:
- 33,700
- avg:
- 31,471.429
- σ:
- 1,447.87
[0.0000.1.000000D7] all sectors – All – men – 10th percentile
- from
- 2014=21,900
- to
- 2020=24,500
- min:
- 21,900
- max:
- 24,500
- avg:
- 23,085.714
- σ:
- 928.022
[0.0000.1.000000D8] all sectors – All – men – 25th percentile
- from
- 2014=25,100
- to
- 2020=28,100
- min:
- 25,100
- max:
- 28,100
- avg:
- 26,585.714
- σ:
- 1,069.618
Series code | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|---|
[0.0000.1+2.000000D5] | 31400 | 32000 | 32800 | 33700 | 34600 | 35300 | 36100 |
[0.0000.1+2.000000D6] | 28000 | 28600 | 29300 | 30000 | 30900 | 31700 | 32400 |
[0.0000.1+2.000000D7] | 21200 | 21600 | 22000 | 22600 | 23000 | 23500 | 23900 |
[0.0000.1+2.000000D8] | 24200 | 24600 | 25000 | 25700 | 26400 | 26900 | 27400 |
[0.0000.1+2.000000D9] | 34100 | 35000 | 35900 | 37000 | 38000 | 39100 | 40000 |
[0.0000.1+2.000000DA] | 44500 | 45100 | 46400 | 47800 | 49200 | 50000 | 51200 |
[0.0000.1.000000D5] | 33600 | 34100 | 34900 | 35700 | 36500 | 37200 | 37900 |
[0.0000.1.000000D6] | 29500 | 30000 | 30600 | 31300 | 32200 | 33000 | 33700 |
[0.0000.1.000000D7] | 21900 | 22000 | 22500 | 23100 | 23600 | 24000 | 24500 |
[0.0000.1.000000D8] | 25100 | 25500 | 25900 | 26500 | 27200 | 27800 | 28100 |
Loading chart
Search filters
sector [Sektor] (4)
occuptional (SSYK 2012) [Yrkesgrupp12] (151)
sex [Kon] (3)
observations [ContentsCode] (6)
This dataset has 21,744 series:
[0.0000.1+2.000000D5] all sectors – All – total – Monthly salary
- from
- 2014=31,400
- to
- 2020=36,100
- min:
- 31,400
- max:
- 36,100
- avg:
- 33,700
- σ:
- 1,608.904
[0.0000.1+2.000000D6] all sectors – All – total – Median
- from
- 2014=28,000
- to
- 2020=32,400
- min:
- 28,000
- max:
- 32,400
- avg:
- 30,128.571
- σ:
- 1,502.107
[0.0000.1+2.000000D7] all sectors – All – total – 10th percentile
- from
- 2014=21,200
- to
- 2020=23,900
- min:
- 21,200
- max:
- 23,900
- avg:
- 22,542.857
- σ:
- 922.508
[0.0000.1+2.000000D8] all sectors – All – total – 25th percentile
- from
- 2014=24,200
- to
- 2020=27,400
- min:
- 24,200
- max:
- 27,400
- avg:
- 25,742.857
- σ:
- 1,118.49
[0.0000.1+2.000000D9] all sectors – All – total – 75th percentile
- from
- 2014=34,100
- to
- 2020=40,000
- min:
- 34,100
- max:
- 40,000
- avg:
- 37,014.286
- σ:
- 2,001.02
[0.0000.1+2.000000DA] all sectors – All – total – 90th percentile
- from
- 2014=44,500
- to
- 2020=51,200
- min:
- 44,500
- max:
- 51,200
- avg:
- 47,742.857
- σ:
- 2,344.512
[0.0000.1.000000D5] all sectors – All – men – Monthly salary
- from
- 2014=33,600
- to
- 2020=37,900
- min:
- 33,600
- max:
- 37,900
- avg:
- 35,700
- σ:
- 1,480.347
[0.0000.1.000000D6] all sectors – All – men – Median
- from
- 2014=29,500
- to
- 2020=33,700
- min:
- 29,500
- max:
- 33,700
- avg:
- 31,471.429
- σ:
- 1,447.87
[0.0000.1.000000D7] all sectors – All – men – 10th percentile
- from
- 2014=21,900
- to
- 2020=24,500
- min:
- 21,900
- max:
- 24,500
- avg:
- 23,085.714
- σ:
- 928.022
[0.0000.1.000000D8] all sectors – All – men – 25th percentile
- from
- 2014=25,100
- to
- 2020=28,100
- min:
- 25,100
- max:
- 28,100
- avg:
- 26,585.714
- σ:
- 1,069.618
Series code | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|---|
[0.0000.1+2.000000D5] | 31400 | 32000 | 32800 | 33700 | 34600 | 35300 | 36100 |
[0.0000.1+2.000000D6] | 28000 | 28600 | 29300 | 30000 | 30900 | 31700 | 32400 |
[0.0000.1+2.000000D7] | 21200 | 21600 | 22000 | 22600 | 23000 | 23500 | 23900 |
[0.0000.1+2.000000D8] | 24200 | 24600 | 25000 | 25700 | 26400 | 26900 | 27400 |
[0.0000.1+2.000000D9] | 34100 | 35000 | 35900 | 37000 | 38000 | 39100 | 40000 |
[0.0000.1+2.000000DA] | 44500 | 45100 | 46400 | 47800 | 49200 | 50000 | 51200 |
[0.0000.1.000000D5] | 33600 | 34100 | 34900 | 35700 | 36500 | 37200 | 37900 |
[0.0000.1.000000D6] | 29500 | 30000 | 30600 | 31300 | 32200 | 33000 | 33700 |
[0.0000.1.000000D7] | 21900 | 22000 | 22500 | 23100 | 23600 | 24000 | 24500 |
[0.0000.1.000000D8] | 25100 | 25500 | 25900 | 26500 | 27200 | 27800 | 28100 |
Loading chart