[YREG65] Employees (the Swedish Occupational Register) 16-64 years by occupation (SSYK 2012), region of birth, sex, observations and year
Retrieved by 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
[Fodelseregion] region of birth
[AFR] Africa
[ASI] Asia
[ÖEU] Europe, excluding the Nordic countries
[NAMA] North and Central America
[OCEA] Oceania
[SAM] South America
[SE] Sweden
[NEXS] The Nordic countries, excluding Sweden
[ÖOF] unknown country of birth
[Kon] sex
[1] men
[2] women
[ContentsCode] observations
[000000RI] Employees (the Swedish Occupational Register) 16-64 years
Search filters
occupation (SSYK 2012) [Yrke2012] (149)
region of birth [Fodelseregion] (9)
sex [Kon] (2)
observations [ContentsCode] (1)
This dataset has 2,682 series:
[0002.AFR.1.000000RI] occupations unidentifiable – Africa – men – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=4,216
- to
- 2018=5,309
- min:
- 3,906
- max:
- 5,309
- avg:
- 4,563.2
- σ:
- 478.764
[0002.AFR.2.000000RI] occupations unidentifiable – Africa – women – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=2,668
- to
- 2018=2,940
- min:
- 2,476
- max:
- 2,990
- avg:
- 2,762
- σ:
- 187.07
[0002.ASI.1.000000RI] occupations unidentifiable – Asia – men – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=16,362
- to
- 2018=20,717
- min:
- 15,937
- max:
- 20,717
- avg:
- 17,800.6
- σ:
- 1,718.914
[0002.ASI.2.000000RI] occupations unidentifiable – Asia – women – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=10,442
- to
- 2018=10,700
- min:
- 9,622
- max:
- 10,700
- avg:
- 10,255.6
- σ:
- 386.271
[0002.NAMA.1.000000RI] occupations unidentifiable – North and Central America – men – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=864
- to
- 2018=645
- min:
- 645
- max:
- 864
- avg:
- 730.6
- σ:
- 78.375
[0002.NAMA.2.000000RI] occupations unidentifiable – North and Central America – women – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=552
- to
- 2018=567
- min:
- 480
- max:
- 567
- avg:
- 530.8
- σ:
- 30.023
[0002.NEXS.1.000000RI] occupations unidentifiable – The Nordic countries, excluding Sweden – men – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=2,923
- to
- 2018=1,827
- min:
- 1,827
- max:
- 2,923
- avg:
- 2,264.8
- σ:
- 383.368
[0002.NEXS.2.000000RI] occupations unidentifiable – The Nordic countries, excluding Sweden – women – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=2,096
- to
- 2018=1,506
- min:
- 1,506
- max:
- 2,096
- avg:
- 1,734.4
- σ:
- 207.114
[0002.OCEA.1.000000RI] occupations unidentifiable – Oceania – men – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=229
- to
- 2018=167
- min:
- 167
- max:
- 229
- avg:
- 191.2
- σ:
- 23.353
[0002.OCEA.2.000000RI] occupations unidentifiable – Oceania – women – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=81
- to
- 2018=68
- min:
- 68
- max:
- 95
- avg:
- 82.6
- σ:
- 8.732
Series code | 2014 | 2015 | 2016 | 2017 | 2018 |
---|---|---|---|---|---|
[0002.AFR.1.000000RI] | 4216 | 3906 | 4648 | 4737 | 5309 |
[0002.AFR.2.000000RI] | 2668 | 2476 | 2990 | 2736 | 2940 |
[0002.ASI.1.000000RI] | 16362 | 15937 | 17423 | 18564 | 20717 |
[0002.ASI.2.000000RI] | 10442 | 9622 | 10494 | 10020 | 10700 |
[0002.NAMA.1.000000RI] | 864 | 733 | 752 | 659 | 645 |
[0002.NAMA.2.000000RI] | 552 | 480 | 519 | 536 | 567 |
[0002.NEXS.1.000000RI] | 2923 | 2384 | 2233 | 1957 | 1827 |
[0002.NEXS.2.000000RI] | 2096 | 1773 | 1736 | 1561 | 1506 |
[0002.OCEA.1.000000RI] | 229 | 188 | 204 | 168 | 167 |
[0002.OCEA.2.000000RI] | 81 | 86 | 95 | 83 | 68 |
Loading chart
Search filters
occupation (SSYK 2012) [Yrke2012] (149)
region of birth [Fodelseregion] (9)
sex [Kon] (2)
observations [ContentsCode] (1)
This dataset has 2,682 series:
[0002.AFR.1.000000RI] occupations unidentifiable – Africa – men – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=4,216
- to
- 2018=5,309
- min:
- 3,906
- max:
- 5,309
- avg:
- 4,563.2
- σ:
- 478.764
[0002.AFR.2.000000RI] occupations unidentifiable – Africa – women – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=2,668
- to
- 2018=2,940
- min:
- 2,476
- max:
- 2,990
- avg:
- 2,762
- σ:
- 187.07
[0002.ASI.1.000000RI] occupations unidentifiable – Asia – men – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=16,362
- to
- 2018=20,717
- min:
- 15,937
- max:
- 20,717
- avg:
- 17,800.6
- σ:
- 1,718.914
[0002.ASI.2.000000RI] occupations unidentifiable – Asia – women – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=10,442
- to
- 2018=10,700
- min:
- 9,622
- max:
- 10,700
- avg:
- 10,255.6
- σ:
- 386.271
[0002.NAMA.1.000000RI] occupations unidentifiable – North and Central America – men – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=864
- to
- 2018=645
- min:
- 645
- max:
- 864
- avg:
- 730.6
- σ:
- 78.375
[0002.NAMA.2.000000RI] occupations unidentifiable – North and Central America – women – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=552
- to
- 2018=567
- min:
- 480
- max:
- 567
- avg:
- 530.8
- σ:
- 30.023
[0002.NEXS.1.000000RI] occupations unidentifiable – The Nordic countries, excluding Sweden – men – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=2,923
- to
- 2018=1,827
- min:
- 1,827
- max:
- 2,923
- avg:
- 2,264.8
- σ:
- 383.368
[0002.NEXS.2.000000RI] occupations unidentifiable – The Nordic countries, excluding Sweden – women – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=2,096
- to
- 2018=1,506
- min:
- 1,506
- max:
- 2,096
- avg:
- 1,734.4
- σ:
- 207.114
[0002.OCEA.1.000000RI] occupations unidentifiable – Oceania – men – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=229
- to
- 2018=167
- min:
- 167
- max:
- 229
- avg:
- 191.2
- σ:
- 23.353
[0002.OCEA.2.000000RI] occupations unidentifiable – Oceania – women – Employees (the Swedish Occupational Register) 16-64 years
- from
- 2014=81
- to
- 2018=68
- min:
- 68
- max:
- 95
- avg:
- 82.6
- σ:
- 8.732
Series code | 2014 | 2015 | 2016 | 2017 | 2018 |
---|---|---|---|---|---|
[0002.AFR.1.000000RI] | 4216 | 3906 | 4648 | 4737 | 5309 |
[0002.AFR.2.000000RI] | 2668 | 2476 | 2990 | 2736 | 2940 |
[0002.ASI.1.000000RI] | 16362 | 15937 | 17423 | 18564 | 20717 |
[0002.ASI.2.000000RI] | 10442 | 9622 | 10494 | 10020 | 10700 |
[0002.NAMA.1.000000RI] | 864 | 733 | 752 | 659 | 645 |
[0002.NAMA.2.000000RI] | 552 | 480 | 519 | 536 | 567 |
[0002.NEXS.1.000000RI] | 2923 | 2384 | 2233 | 1957 | 1827 |
[0002.NEXS.2.000000RI] | 2096 | 1773 | 1736 | 1561 | 1506 |
[0002.OCEA.1.000000RI] | 229 | 188 | 204 | 168 | 167 |
[0002.OCEA.2.000000RI] | 81 | 86 | 95 | 83 | 68 |
Loading chart