Statistikk innhold
Statistics about
Accidents at work
Statistics on reported accidents at work, and fatal accidents at work. The statistics are sorted by industry, and are based on data from claim forms sent from employers to NAV. Statistics on fatal accidents at work are based on figures from national supervisory authorities.
Selected figures from this statistics
- Reported accidents at workDownload table as ...Reported accidents at work
2022 2023 Reported accidents at work (per 1000 employees)1 Number of fatal accidents at work Electricity, water supply, sewerage, waste management 6.6 0 Construction 5.7 6 Manufacture 5.4 3 Transportation and storage 8.6 11 Agriculture, forestry and fishing 6.7 7 All industries 3.9 36 1Long term absence: 'Likely to entail absence of more than three days' Explanation of symbolsDownload table as ...
About the statistics
The information under «About the statistics» was last updated 11 May 2021.
Employed person is defined as persons who perform at least one hour of income-generating work during the reference week.
Short absence is defined as a period of three days or less. This includes cases that do not lead to any absence.
Long absence is defined as a period of more than three days. This includes permanent absence, e.g. in the case of fatal accidents at work.
Injuries per 1 000 employed: the size of the industry has an impact on the number of incidents reported. Large industries, such as the health and social care sector, will naturally generate a larger number of work injuries. The statistics are therefore presented relative to the size of the industry, i.e. per 1 000 employed in the respective industry.
Gender disparities: there is a substantial gender differential in the Norwegian labour market; some industries have a large share of female workers (e.g. health and social work, education), while others have a high share of male workers (e.g. agriculture, forestry and fishing, manufacturing, construction). Different industries have different incidence rates when it comes to accidents at work with regard to frequency of injuries and length of work absence following the incident. The gender differential must be borne in mind when interpreting differences in accident at work rates between industries.
Not relevant.