Number of work hours (hours actually worked) per week for persons aged 15-74 (LFS), millions by degree of attachment to the labour market, industrial classification NACE Rev. 1.1, sex, observations and month [NAKUAnkSNITimM]
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Updated on DBnomics on April 8, 2022 (1:30 PM)
degree of attachment to the labour market
[Anknytningsgrad]
industrial classification NACE Rev. 1.1
[SNI2002]
sex
[Kon]
observations
[ContentsCode]
Dataset has 216 series. Add search filters to narrow them.
- employees, total – Industrial classification missing – total – Work hours
[SCB/NAKUAnkSNITimM/ANSTTOT.00.1+2.AM0401PO]
- employees, total – Industrial classification missing – total – Margin of error ±
[SCB/NAKUAnkSNITimM/ANSTTOT.00.1+2.AM0401PR]
- employees, total – Industrial classification missing – men – Work hours
[SCB/NAKUAnkSNITimM/ANSTTOT.00.1.AM0401PO]
- employees, total – Industrial classification missing – men – Margin of error ±
[SCB/NAKUAnkSNITimM/ANSTTOT.00.1.AM0401PR]
- employees, total – Industrial classification missing – women – Work hours
[SCB/NAKUAnkSNITimM/ANSTTOT.00.2.AM0401PO]
- employees, total – Industrial classification missing – women – Margin of error ±
[SCB/NAKUAnkSNITimM/ANSTTOT.00.2.AM0401PR]
- employees, total – agriculture and fishing – total – Work hours
[SCB/NAKUAnkSNITimM/ANSTTOT.01+02+05.1+2.AM0401PO]
- employees, total – agriculture and fishing – total – Margin of error ±
[SCB/NAKUAnkSNITimM/ANSTTOT.01+02+05.1+2.AM0401PR]
- employees, total – agriculture and fishing – men – Work hours
[SCB/NAKUAnkSNITimM/ANSTTOT.01+02+05.1.AM0401PO]
- employees, total – agriculture and fishing – men – Margin of error ±
[SCB/NAKUAnkSNITimM/ANSTTOT.01+02+05.1.AM0401PR]
Showing results 1 - 10 / 216
Dimension codes and labels
[Anknytningsgrad] degree of attachment to the labour market
- [ANSTTOT] employees, total
- [FA] permanent employees
- [SYSTOT] total employment
[SNI2002] industrial classification NACE Rev. 1.1
- [A-Q] All branches
- [01+02+05] agriculture and fishing
- [10-37+40+41] Extraction; manufacturing; energy and water supply
- [28-35] Engineering industry
- [45] construction industry
- [50-52+60-64] Commerce; transport, storage; communication
- [55+90-93+95] Household and cultural services; cleaning
- [65-67+70-72+74] Lender organizations, property management, business services
- [75+99] public authorities, national defence; extra-territorial organizations
- [73+80] Research and development; education
- [85] Health and social work establishments; veterinary clinics
- [00] Industrial classification missing
[Kon] sex
- [1] men
- [2] women
- [1+2] total
[ContentsCode] observations
- [AM0401PO] Work hours
- [AM0401PR] Margin of error ±