Luxembourg vs Papua New Guinea: Stocks traded, turnover ratio of domestic shares
Luxembourg
0.1%
in 2024
Papua New Guinea
0.1%
in 2017
Luxembourg rank
93rd
Papua New Guinea rank
95th
Stocks traded, turnover ratio of domestic shares over time
- Luxembourg
- Papua New Guinea
How they compare
Luxembourg currently reports 0.1% against 0.1% in Papua New Guinea, a difference of 0.0%.
That makes Luxembourg's figure about 1.7 times Papua New Guinea's.
The two have swapped places 4 times across 13 shared years of data; in 2003 it was Luxembourg ahead.
Luxembourg ranks 93rd and Papua New Guinea ranks 95th of 97 countries.
Across the 2 decades both report, Luxembourg averaged higher in 1 and Papua New Guinea in 1.
Head to head by decade
| Decade | Luxembourg | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.8% | 0.3% | 0.5% | Luxembourg |
| 2010s | 0.2% | 1.3% | 1.1% | Papua New Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher stocks traded, turnover ratio of domestic shares, Luxembourg or Papua New Guinea?
- Luxembourg, at 0.1% against 0.1% in Papua New Guinea as of 2024.
- What is the difference in stocks traded, turnover ratio of domestic shares between Luxembourg and Papua New Guinea?
- 0.0%, with Luxembourg ahead.
- How many years of comparable data are there for Luxembourg and Papua New Guinea?
- 13 years are reported by both, from 2003 to 2017.
- How do Luxembourg and Papua New Guinea rank globally for stocks traded, turnover ratio of domestic shares?
- Luxembourg ranks 93rd and Papua New Guinea ranks 95th of 97 countries.
- Where does this data come from?
- World Federation of Exchanges database, World Federation of Exchanges (WFE), published as Stocks traded, turnover ratio of domestic shares (%). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Turnover ratio is the value of domestic shares traded divided by their market capitalization. The value is annualized by multiplying the monthly average by 12.