China vs Norway: Trade union density rate
Trade union density rate over time
- China
- Norway
How they compare
Norway currently reports 50.4 against 44.25 in China, a difference of 6.15.
That makes Norway's figure about 1.1 times China's.
Across all 10 years both countries report, Norway has been ahead every year.
China ranks 8th and Norway ranks 5th of 86 countries.
Norway has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | China | Norway | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 31.55 | 50.06 | 18.51 | Norway |
| 2010s | 41.52 | 50 | 8.49 | Norway |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trade union density rate, China or Norway?
- Norway, at 50.4 against 44.25 in China as of 2019.
- What is the difference in trade union density rate between China and Norway?
- 6.15, with Norway ahead.
- How many years of comparable data are there for China and Norway?
- 10 years are reported by both, from 2008 to 2017.
- How do China and Norway rank globally for trade union density rate?
- China ranks 8th and Norway ranks 5th of 86 countries.
- Where does this data come from?
- International Labour Organization, published as Trade union density rate. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
A trade union is defined as a workers' organization constituted for the purpose of furthering and defending the interests of workers. This trade union density rate conveys the number of union members who are employees as a percentage of the total number of employees. For the purpose of this indicator in particular, trade union membership excludes union members who are not in paid employment (self-employed, unemployed, retired, etc.), unless otherwise stated in the notes. The statistics presented in this table result from an ILO data compilation effort (including an annual questionnaire and numerous special enquiries), with contributions from J. Visser. For more information, refer to the Industrial Relations data (IRdata) database description.