[LE0108T39] Learing activities over the Internet by learning activities, sex, study domain, observations and year
Updated on DBnomics on February 22, 2023 (11:00 AM).
[UtbAkt] learning activities
- [0260] Took an online course
- [0262] Free online ICT training or self-study
- [0264] Paid by oneself
- [0266] Free ICT training provided by someone else than the employer
- [0268] Paid or provided by the employer
- [0270] On-the-job ICT training
- [0600] Used online learning materials
- [0610] Communicated with instructors or students using educational websites/portals
- [0620] Other educational activities
- [0630] Have not performed any training activities online
[Kon] sex
- [1] men
- [2] women
- [1+2] total
[Redovisningsgrupp] study domain
- [16-24] 16-24 years
- [25-34] 25-34 years
- [35-44] 35-44 years
- [45-54] 45-54 years
- [55-64] 55-64 years
- [65-74] 65-74 years
- [75-85] 75-85 years
- [forgymn] Compulsory education
- [gymn] Upper-secondary education
- [eftergymn] Post-secondary education
- [stud] Student
- [ansfor] Employees/Self-employed persons
- [arbsok] Job seeker
- [pens] Retirees and others
- [utanbarn] Households without children
- [medbarn] Households with children
- [envux] Households with one adult
- [tvavux] Households with at least two adults
- [under25] Less than 25 000 SEK
- [over25] 25 000 SEK or more
- [inr] Born in Sweden
- [utr] Foreign born
- [RIKS1] Stockholm
- [RIKS2] Östra Mellansverige
- [RIKS3] Småland med öarna
- [RIKS4] Sydsverige
- [RIKS5] Västsverige
- [RIKS6] Norra Mellansverige
- [RIKS7] Mellersta Norrland
- [RIKS8] Övre Norrland
- [tot16-74] Total, 16-74 years
- [tot16-85] Total, 16 - 85 years
[ContentsCode] observations
- [000002EH] Number of persons
- [000002EJ] Number of persons margin of error +/-
- [000002EG] Share of persons, percent
- [000002EI] Share of persons margin of error +/-, percent
Search filters
learning activities [UtbAkt] (10)
sex [Kon] (3)
study domain [Redovisningsgrupp] (32)
observations [ContentsCode] (4)
This dataset has 3,840 series:
- from
- 2018=34
- to
- 2020=30
- min:
- 15
- max:
- 34
- avg:
- 26.333
- σ:
- 8.179
- from
- 2018=359,500
- to
- 2020=315,900
- min:
- 151,600
- max:
- 359,500
- avg:
- 275,666.667
- σ:
- 89,515.896
- from
- 2018=9
- to
- 2020=6
- min:
- 6
- max:
- 9
- avg:
- 7
- σ:
- 1.414
- from
- 2018=88,700
- to
- 2020=63,300
- min:
- 63,300
- max:
- 88,700
- avg:
- 72,700
- σ:
- 11,371.309
- from
- 2018=39
- to
- 2020=31
- min:
- 25
- max:
- 39
- avg:
- 31.667
- σ:
- 5.735
- from
- 2018=544,100
- to
- 2020=448,100
- min:
- 366,300
- max:
- 544,100
- avg:
- 452,833.333
- σ:
- 72,663.67
- from
- 2018=8
- to
- 2020=5
- min:
- 5
- max:
- 8
- avg:
- 6.667
- σ:
- 1.247
- from
- 2018=110,000
- to
- 2020=75,300
- min:
- 75,300
- max:
- 110,000
- avg:
- 94,966.667
- σ:
- 14,540.136
- from
- 2018=46
- to
- 2020=27
- min:
- 25
- max:
- 46
- avg:
- 32.667
- σ:
- 9.463
- from
- 2018=581,600
- to
- 2020=342,000
- min:
- 322,800
- max:
- 581,600
- avg:
- 415,466.667
- σ:
- 117,735.221
Series code | 2018 | 2019 | 2020 |
---|---|---|---|
[0260.1+2.16-24.000002EG] | 34 | 15 | 30 |
[0260.1+2.16-24.000002EH] | 359500 | 151600 | 315900 |
[0260.1+2.16-24.000002EI] | 9 | 6 | 6 |
[0260.1+2.16-24.000002EJ] | 88700 | 66100 | 63300 |
[0260.1+2.25-34.000002EG] | 39 | 25 | 31 |
[0260.1+2.25-34.000002EH] | 544100 | 366300 | 448100 |
[0260.1+2.25-34.000002EI] | 8 | 7 | 5 |
[0260.1+2.25-34.000002EJ] | 110000 | 99600 | 75300 |
[0260.1+2.35-44.000002EG] | 46 | 25 | 27 |
[0260.1+2.35-44.000002EH] | 581600 | 322800 | 342000 |
Showing results 1 - 10 / 3,840