[YREG52] Employees 16-64 years by occupation (SSYK 2012), field of education SUN 2000, age, sex, observations and year
Retrieved by DBnomics on April 11, 2022 (12:50 PM).
[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
[0] general education
[1] teaching methods and teacher education
[2] humanities and arts
[3] social sciences, law, commerce, administration
[4] natural sciences, mathematics and computing
[5] engineering and manufacturing
[6] agriculture and forestry, veterinary medicine
[7] health care and nursing, social care
[8] services
[9] unknown
[16-24] 16-24 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
[1] men
[2] women
[000000S5] Employees 16-64 years
Search filters
occupation (SSYK 2012) [Yrke2012] (107)
field of education SUN 2000 [UtbinriktnSUN2000] (10)
age [Alder] (9)
sex [Kon] (2)
observations [ContentsCode] (1)
This dataset has 77,400 series:
[0002.0.16-24.1.000000S5] 0002 – general education – 16-24 years – men – Employees 16-64 years
- from
- 2014=22,854
- to
- 2018=24,358
- min:
- 20,131
- max:
- 24,954
- avg:
- 23,313.4
- σ:
- 1,734.16
[0002.0.16-24.2.000000S5] 0002 – general education – 16-24 years – women – Employees 16-64 years
- from
- 2014=23,506
- to
- 2018=23,796
- min:
- 20,369
- max:
- 24,617
- avg:
- 23,266
- σ:
- 1,493.887
[0002.0.25-29.1.000000S5] 0002 – general education – 25-29 years – men – Employees 16-64 years
- from
- 2014=4,952
- to
- 2018=3,879
- min:
- 3,879
- max:
- 4,952
- avg:
- 4,192.2
- σ:
- 393.118
[0002.0.25-29.2.000000S5] 0002 – general education – 25-29 years – women – Employees 16-64 years
- from
- 2014=2,640
- to
- 2018=1,837
- min:
- 1,837
- max:
- 2,640
- avg:
- 2,164.8
- σ:
- 286.298
[0002.0.30-34.1.000000S5] 0002 – general education – 30-34 years – men – Employees 16-64 years
- from
- 2014=4,308
- to
- 2018=3,289
- min:
- 3,157
- max:
- 4,308
- avg:
- 3,575
- σ:
- 409.617
[0002.0.30-34.2.000000S5] 0002 – general education – 30-34 years – women – Employees 16-64 years
- from
- 2014=2,332
- to
- 2018=1,565
- min:
- 1,565
- max:
- 2,332
- avg:
- 1,808
- σ:
- 278.972
[0002.0.35-39.1.000000S5] 0002 – general education – 35-39 years – men – Employees 16-64 years
- from
- 2014=3,648
- to
- 2018=2,818
- min:
- 2,805
- max:
- 3,648
- avg:
- 3,138.4
- σ:
- 317.025
[0002.0.35-39.2.000000S5] 0002 – general education – 35-39 years – women – Employees 16-64 years
- from
- 2014=2,106
- to
- 2018=1,343
- min:
- 1,343
- max:
- 2,106
- avg:
- 1,628.6
- σ:
- 274.751
[0002.0.40-44.1.000000S5] 0002 – general education – 40-44 years – men – Employees 16-64 years
- from
- 2014=3,068
- to
- 2018=2,294
- min:
- 2,259
- max:
- 3,068
- avg:
- 2,525.4
- σ:
- 293.661
[0002.0.40-44.2.000000S5] 0002 – general education – 40-44 years – women – Employees 16-64 years
- from
- 2014=2,025
- to
- 2018=1,226
- min:
- 1,226
- max:
- 2,025
- avg:
- 1,512
- σ:
- 287.981
Series code | 2014 | 2015 | 2016 | 2017 | 2018 |
---|---|---|---|---|---|
[0002.0.16-24.1.000000S5] | 22854 | 20131 | 24270 | 24954 | 24358 |
[0002.0.16-24.2.000000S5] | 23506 | 20369 | 24617 | 24042 | 23796 |
[0002.0.25-29.1.000000S5] | 4952 | 4152 | 4070 | 3908 | 3879 |
[0002.0.25-29.2.000000S5] | 2640 | 2213 | 2233 | 1901 | 1837 |
[0002.0.30-34.1.000000S5] | 4308 | 3710 | 3411 | 3157 | 3289 |
[0002.0.30-34.2.000000S5] | 2332 | 1808 | 1757 | 1578 | 1565 |
[0002.0.35-39.1.000000S5] | 3648 | 3307 | 3114 | 2805 | 2818 |
[0002.0.35-39.2.000000S5] | 2106 | 1707 | 1606 | 1381 | 1343 |
[0002.0.40-44.1.000000S5] | 3068 | 2578 | 2428 | 2259 | 2294 |
[0002.0.40-44.2.000000S5] | 2025 | 1567 | 1487 | 1255 | 1226 |
Loading chart
Search filters
occupation (SSYK 2012) [Yrke2012] (107)
field of education SUN 2000 [UtbinriktnSUN2000] (10)
age [Alder] (9)
sex [Kon] (2)
observations [ContentsCode] (1)
This dataset has 77,400 series:
[0002.0.16-24.1.000000S5] 0002 – general education – 16-24 years – men – Employees 16-64 years
- from
- 2014=22,854
- to
- 2018=24,358
- min:
- 20,131
- max:
- 24,954
- avg:
- 23,313.4
- σ:
- 1,734.16
[0002.0.16-24.2.000000S5] 0002 – general education – 16-24 years – women – Employees 16-64 years
- from
- 2014=23,506
- to
- 2018=23,796
- min:
- 20,369
- max:
- 24,617
- avg:
- 23,266
- σ:
- 1,493.887
[0002.0.25-29.1.000000S5] 0002 – general education – 25-29 years – men – Employees 16-64 years
- from
- 2014=4,952
- to
- 2018=3,879
- min:
- 3,879
- max:
- 4,952
- avg:
- 4,192.2
- σ:
- 393.118
[0002.0.25-29.2.000000S5] 0002 – general education – 25-29 years – women – Employees 16-64 years
- from
- 2014=2,640
- to
- 2018=1,837
- min:
- 1,837
- max:
- 2,640
- avg:
- 2,164.8
- σ:
- 286.298
[0002.0.30-34.1.000000S5] 0002 – general education – 30-34 years – men – Employees 16-64 years
- from
- 2014=4,308
- to
- 2018=3,289
- min:
- 3,157
- max:
- 4,308
- avg:
- 3,575
- σ:
- 409.617
[0002.0.30-34.2.000000S5] 0002 – general education – 30-34 years – women – Employees 16-64 years
- from
- 2014=2,332
- to
- 2018=1,565
- min:
- 1,565
- max:
- 2,332
- avg:
- 1,808
- σ:
- 278.972
[0002.0.35-39.1.000000S5] 0002 – general education – 35-39 years – men – Employees 16-64 years
- from
- 2014=3,648
- to
- 2018=2,818
- min:
- 2,805
- max:
- 3,648
- avg:
- 3,138.4
- σ:
- 317.025
[0002.0.35-39.2.000000S5] 0002 – general education – 35-39 years – women – Employees 16-64 years
- from
- 2014=2,106
- to
- 2018=1,343
- min:
- 1,343
- max:
- 2,106
- avg:
- 1,628.6
- σ:
- 274.751
[0002.0.40-44.1.000000S5] 0002 – general education – 40-44 years – men – Employees 16-64 years
- from
- 2014=3,068
- to
- 2018=2,294
- min:
- 2,259
- max:
- 3,068
- avg:
- 2,525.4
- σ:
- 293.661
[0002.0.40-44.2.000000S5] 0002 – general education – 40-44 years – women – Employees 16-64 years
- from
- 2014=2,025
- to
- 2018=1,226
- min:
- 1,226
- max:
- 2,025
- avg:
- 1,512
- σ:
- 287.981
Series code | 2014 | 2015 | 2016 | 2017 | 2018 |
---|---|---|---|---|---|
[0002.0.16-24.1.000000S5] | 22854 | 20131 | 24270 | 24954 | 24358 |
[0002.0.16-24.2.000000S5] | 23506 | 20369 | 24617 | 24042 | 23796 |
[0002.0.25-29.1.000000S5] | 4952 | 4152 | 4070 | 3908 | 3879 |
[0002.0.25-29.2.000000S5] | 2640 | 2213 | 2233 | 1901 | 1837 |
[0002.0.30-34.1.000000S5] | 4308 | 3710 | 3411 | 3157 | 3289 |
[0002.0.30-34.2.000000S5] | 2332 | 1808 | 1757 | 1578 | 1565 |
[0002.0.35-39.1.000000S5] | 3648 | 3307 | 3114 | 2805 | 2818 |
[0002.0.35-39.2.000000S5] | 2106 | 1707 | 1606 | 1381 | 1343 |
[0002.0.40-44.1.000000S5] | 3068 | 2578 | 2428 | 2259 | 2294 |
[0002.0.40-44.2.000000S5] | 2025 | 1567 | 1487 | 1255 | 1226 |
Loading chart