Azerbaijan vs Papua New Guinea: Money, Seasonally adjusted
Azerbaijan
4.62 billion
in 2008
Papua New Guinea
5.29 billion
in 2008
Azerbaijan rank
128th
Papua New Guinea rank
127th
Money, Seasonally adjusted over time
- Azerbaijan
- Papua New Guinea
How they compare
Papua New Guinea currently reports 5.29 billion against 4.62 billion in Azerbaijan, a difference of 670.90 million.
That makes Papua New Guinea's figure about 1.1 times Azerbaijan's.
Across all 17 years both countries report, Papua New Guinea has been ahead every year.
Azerbaijan ranks 128th and Papua New Guinea ranks 127th of 157 countries.
Papua New Guinea has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Azerbaijan | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 152.34 million | 818.64 million | 666.30 million | Papua New Guinea |
| 2000s | 1.37 billion | 2.71 billion | 1.34 billion | Papua New Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher money, seasonally adjusted, Azerbaijan or Papua New Guinea?
- Papua New Guinea, at 5.29 billion against 4.62 billion in Azerbaijan as of 2008.
- What is the difference in money, seasonally adjusted between Azerbaijan and Papua New Guinea?
- 670.90 million, with Papua New Guinea ahead.
- How many years of comparable data are there for Azerbaijan and Papua New Guinea?
- 17 years are reported by both, from 1992 to 2008.
- How do Azerbaijan and Papua New Guinea rank globally for money, seasonally adjusted?
- Azerbaijan ranks 128th and Papua New Guinea ranks 127th of 157 countries.
- Where does this data come from?
- International Monetary Fund, published as Money, Seasonally adjusted (Depository Corporations Survey, Domestic currency). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The Monetary and Financial Statistics (MFS), Non-standard dataset provides discontinued, vintage country-reported financial data that are not harmonized and use country-specific terms.