[LoneSpridSektorYrk] Average salary and salary dispersion by sector, occupational group (SSYK), sex, observations and year

Name: Average salary and salary dispersion by sector, occupational group (SSYK), sex, observations and year
Creator: DBnomics

Updated on DBnomics on April 8, 2022 (1:30 PM).

Documentation

[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:

Trim NA Values

Series code	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013
[0.0000.1+2.AM0110G1]	23600	24300	25000	25800	27100	27900	28400	29000	29800	30600
[0.0000.1+2.AM0110G2]	21000	21600	22200	23000	24000	24900	25300	25900	26600	27300
[0.0000.1+2.AM0110G3]	16400	16800	17200	17600	18600	19300	19600	20000	20400	20800
[0.0000.1+2.AM0110G4]	18200	18700	19300	19800	20900	21600	22000	22500	23100	23700
[0.0000.1+2.AM0110G5]	25400	26100	26900	27800	29000	30000	30500	31200	32100	33200
[0.0000.1+2.AM0110G6]	33000	34100	35000	36200	38200	39300	40000	40700	42000	43300
[0.0000.1.AM0110G1]	25700	26400	27100	28000	29400	30100	30600	31200	32100	32900
[0.0000.1.AM0110G2]	22300	23000	23600	24500	25500	26200	26700	27300	28000	28800
[0.0000.1.AM0110G3]	17000	17400	17800	18400	19300	19900	20100	20400	21000	21400
[0.0000.1.AM0110G4]	19200	19700	20200	20900	21900	22500	23000	23400	24100	24600

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