[SLP3tSSYK412] Average monthly pay, non-manual workers private sector (SLP) by occupation (SSYK 2012), age, sex, observations and year

Name: Average monthly pay, non-manual workers private sector (SLP) by occupation (SSYK 2012), age, sex, observations and year
Creator: DBnomics

Updated on DBnomics on February 22, 2023 (11:00 AM).

Documentation

[Yrke2012] occupation (SSYK 2012)

[0000] All
[0110] Commissioned armed forces officers
[0210] Non-commissioned armed forces officers
[0310] Armed forces occupation, other ranks
[1111] Legislators
[1112] Senior government officials
[1113] Senior officials of special-interest organisations
[1120] Directors and chief executives
[1211] Finance managers, level 1
[1212] Finance managers, level 2
[1221] Human resource managers, level 1
[1222] Human resource managers, level 2
[1230] Administration and planning managers
[1241] Information, communication and public relations managers, level 1
[1242] Information, communication and public relations managers, level 2
[1251] Sales and marketing managers, level 1
[1252] Sales and marketing managers, level 2
[1291] Administration and service managers not elsewhere classified, level 1
[1292] Administration and service managers not elsewhere classified, level 2
[1311] Information and communications technology service managers, level 1
[1312] Information and communications technology service managers, level 2
[1321] Supply, logistics and transport managers, level 1
[1322] Supply, logistics and transport managers, level 2
[1331] Research and development managers, level 1
[1332] Research and development managers, level 2
[1341] Architectural and engineering managers, level 1
[1342] Architectural and engineering managers, level 2
[1351] Real estate and head of administration managers, level 1
[1352] Real estate and head of administration managers, level 2
[1361] Production managers in construction and mining, level 1
[1362] Production managers in construction and mining, level 2
[1371] Production managers in manufacturing, level 1
[1372] Production managers in manufacturing, level 2
[1380] Forestry and agricultural production managers
[1411] Primary and secondary schools and adult education managers, level 1
[1412] Headmasters, level 2
[1421] Department managers in pre-school, level 1
[1422] Pre-school managers, level 2
[1491] Department managers in education not elsewhere classified, level 1
[1492] Operations managers in education not elsewhere classified, level 2
[1511] Clinical and operations managers in health care, level 1
[1512] Department and unit managers in health care, level 2
[1521] Department managers in social and curative care, level 1
[1522] Unit managers in social and curative care, level 2
[1531] Department managers in elderly care, level 1
[1532] Unit managers in elderly care, level 2
[1540] Managers and leaders within religious bodies
[1591] Managers in public services not elsewhere classified, level 1
[1592] Operations managers in public services not elsewhere classified, level 2
[1611] Financial and insurance managers, level 1
[1612] Financial and insurance managers, level 2
[1711] Hotel and conference managers, level 1
[1712] Hotel and conference managers, level 2
[1721] Restaurant managers, level 1
[1722] Restaurant managers, level 2
[1731] Retail and wholesale trade managers, level 1
[1732] Retail and wholesale trade managers, level 2
[1741] Sports, leisure and wellness managers, level 1
[1742] Sports, leisure and wellness managers, level 2
[1791] Other services managers not elsewhere classified, level 1
[1792] Other services managers not elsewhere classified, level 2
[2111] Physicists and astronomers
[2112] Meteorologists
[2113] Chemists
[2114] Geologists, geophysicists and related professionals
[2121] Mathematicians and actuaries
[2122] Statisticians
[2131] Cell and molecular biologists and related professionals
[2132] Plant and animal biologists
[2133] Pharmacologists and related professionals
[2134] Agricultural professionals
[2135] Forestry professionals
[2141] Engineering professionals in logistics and production
[2142] Engineering professionals in building construction
[2143] Engineering professionals in electrical, electronics and telecommunications
[2144] Engineering professionals in mechanical technology
[2145] Engineering professionals in chemical technology
[2146] Engineering professionals in mining-, metallurgy technology and related professionals
[2149] Engineering professionals not elsewhere classified
[2161] Architects
[2162] Landscape architects
[2163] Architects, town and traffic planners
[2164] Cartographers and surveyors
[2171] Product designers, industrial
[2172] Graphic designers
[2173] Game and digital media designers
[2179] Fashion designers and related professionals
[2181] Environmental and occupational health and hygiene professionals
[2182] Environmental and occupational health inspectors
[2183] Environmental protection professionals
[2211] Specialist physicians
[2212] Resident physicians
[2213] General medical practitioners
[2219] Other physicians
[2221] Professional nurses
[2222] Professional midwifes
[2223] Anaesthesia nurses
[2224] District nurses
[2225] Psychiatry nurses
[2226] Nurses - Ambulance
[2227] Nurses - geriatric
[2228] Nurses - Intensive care
[2231] Nurses - operation
[2232] Nurses - children
[2233] Nurses - school
[2234] Company nurses
[2235] Nurses - radiology
[2239] Other specialist nurses

[Alder] age

[18-24] 18-24 years
[25-29] 25-29 years
[30-34] 30-34 years
[35-39] 35-39 years
[40-44] 40-44 years
[45-49] 45-49 years
[50-54] 50-54 years
[55-59] 55-59 years
[60-64] 60-64 years
[65-66] 65-66 years
[tot] total

[Kon] sex

[1] men
[2] women
[1+2] total

[ContentsCode] observations

[0000002U] Employees, non-manual workers private sector (SLP)
[0000002W] Average monthly pay (time and incentive pay), non-manual workers private sector (SLP), SEK
[0000002V] Average monthly pay (pay for time worked), non-manual workers, private sector (SLP), SEK
[0000002X] Average monthly pay (total pay), non-manual workers private sector (SLP), SEK

Search filters

occupation (SSYK 2012) [Yrke2012] (108)

age [Alder] (11)

sex [Kon] (3)

observations [ContentsCode] (4)

This dataset has 57,024 series:

Trim NA Values

Series code	2014	2015	2016	2017	2018	2019	2020
[0000.18-24.2.0000002W]	21800	22300	22800	23600	24000	25300	23600
[0000.18-24.2.0000002X]	22600	23100	23500	24400	24800	26200	24300
[0000.25-29.1+2.0000002U]	113300	119100	135200	142100	150700	164500	154500
[0000.25-29.1+2.0000002V]	29100	29500	30100	31100	31900	32900	33600
[0000.25-29.1+2.0000002W]	28800	29100	29700	30800	31700	32600	33300
[0000.25-29.1+2.0000002X]	29500	29800	30400	31400	32300	33300	34000
[0000.25-29.1.0000002U]	63100	62600	73000	75400	78600	87900	82400
[0000.25-29.1.0000002V]	30100	30700	31100	32300	33100	33900	34600
[0000.25-29.1.0000002W]	29800	30400	30800	32000	32800	33600	34300
[0000.25-29.1.0000002X]	30500	31200	31600	32800	33600	34400	35100

Showing results 11 - 20 / 57,024