[YREG66N] Employees 16-64 years by occupation (SSYK 2012), industrial classification NACE Rev. 2, size class, sex, observations and year
Updated on DBnomics on April 11, 2022 (12:50 PM).
[Yrke2012] occupation (SSYK 2012)
- [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
- [0002] occupations unidentifiable
[SNI2007] industrial classification NACE Rev. 2
- [A] companies in agriculture, forestry and fishing
- [B+C] mining, quarrying, manufacturing
- [D+E] energy and environmental companies
- [F] construction industry
- [G] trade
- [H] transport and storage companies
- [I] hotels and restaurants
- [J] information and communication companies
- [K] financial institutions and insurance companies
- [L] real estate companies
- [M+N] professional, scientific and technical companies; administrative and support service companies
- [O] public authorities and national defence
- [P] educational establishments
- [Q] human health and social work establishments
- [R+S+T+U] establishments for arts, entertainment and recreation; other service companies etc.
- [00] unknown activity
[Storleksklass] size class
- [SGR1] 1-4 employees
- [SGR2] 5-9 employees
- [SGR3] 10-19 employees
- [SGR4] 20-49 employees
- [SGR5] 50-99 employees
- [100+] 100+ employees
[Kon] sex
- [1] men
- [2] women
[ContentsCode] observations
- [00000218] Employees 16-64 years
Search filters
occupation (SSYK 2012) [Yrke2012] (149)
industrial classification NACE Rev. 2 [SNI2007] (16)
size class [Storleksklass] (6)
sex [Kon] (2)
observations [ContentsCode] (1)
This dataset has 28,608 series:
- from
- 2019=1,421
- to
- 2020=1,499
- min:
- 1,421
- max:
- 1,499
- avg:
- 1,460
- σ:
- 39
- from
- 2019=1,695
- to
- 2020=1,715
- min:
- 1,695
- max:
- 1,715
- avg:
- 1,705
- σ:
- 10
- from
- 2019=387
- to
- 2020=410
- min:
- 387
- max:
- 410
- avg:
- 398.5
- σ:
- 11.5
- from
- 2019=190
- to
- 2020=200
- min:
- 190
- max:
- 200
- avg:
- 195
- σ:
- 5
- from
- 2019=79
- to
- 2020=100
- min:
- 79
- max:
- 100
- avg:
- 89.5
- σ:
- 10.5
- from
- 2019=41
- to
- 2020=56
- min:
- 41
- max:
- 56
- avg:
- 48.5
- σ:
- 7.5
- from
- 2019=14
- to
- 2020=36
- min:
- 14
- max:
- 36
- avg:
- 25
- σ:
- 11
- from
- 2019=14
- to
- 2020=29
- min:
- 14
- max:
- 29
- avg:
- 21.5
- σ:
- 7.5
- from
- 2019=13
- to
- 2020=7
- min:
- 7
- max:
- 13
- avg:
- 10
- σ:
- 3
- from
- 2019=9
- to
- 2020=3
- min:
- 3
- max:
- 9
- avg:
- 6
- σ:
- 3
Series code | 2019 | 2020 |
---|---|---|
[0002.00.100+.1.00000218] | 1421 | 1499 |
[0002.00.100+.2.00000218] | 1695 | 1715 |
[0002.00.SGR1.1.00000218] | 387 | 410 |
[0002.00.SGR1.2.00000218] | 190 | 200 |
[0002.00.SGR2.1.00000218] | 79 | 100 |
[0002.00.SGR2.2.00000218] | 41 | 56 |
[0002.00.SGR3.1.00000218] | 14 | 36 |
[0002.00.SGR3.2.00000218] | 14 | 29 |
[0002.00.SGR4.1.00000218] | 13 | 7 |
[0002.00.SGR4.2.00000218] | 9 | 3 |
Showing results 1 - 10 / 28,608