Peru vs Türkiye: Money, Seasonally adjusted
Peru
100.72 billion
in 2016
Türkiye
77.11 billion
in 2008
Peru rank
88th
Türkiye rank
91st
Money, Seasonally adjusted over time
- Peru
- Türkiye
How they compare
Peru currently reports 100.72 billion against 77.11 billion in Türkiye, a difference of 23.61 billion.
That makes Peru's figure about 1.3 times Türkiye's.
The two have swapped places 2 times across 52 shared years of data; in 1957 it was Türkiye ahead.
Peru ranks 88th and Türkiye ranks 91st of 157 countries.
Across the 6 decades both report, Peru averaged higher in 1 and Türkiye in 5.
Head to head by decade
| Decade | Peru | Türkiye | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 4.8 | 7.71 billion | 7.71 billion | Türkiye |
| 1960s | 14.54 | 4.13 billion | 4.13 billion | Türkiye |
| 1970s | 145.98 | 68.39 billion | 68.39 billion | Türkiye |
| 1980s | 995,704 | 4.62 million | 3.63 million | Türkiye |
| 1990s | 8.54 billion | 897.46 million | 7.64 billion | Peru |
| 2000s | 27.88 billion | 39.04 billion | 11.16 billion | Türkiye |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher money, seasonally adjusted, Peru or Türkiye?
- Peru, at 100.72 billion against 77.11 billion in Türkiye as of 2016.
- What is the difference in money, seasonally adjusted between Peru and Türkiye?
- 23.61 billion, with Peru ahead.
- How many years of comparable data are there for Peru and Türkiye?
- 52 years are reported by both, from 1957 to 2008.
- How do Peru and Türkiye rank globally for money, seasonally adjusted?
- Peru ranks 88th and Türkiye ranks 91st 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.