Jordan vs Peru: Predetermined short-term net drains on foreign currency assets
Predetermined short-term net drains on foreign currency assets over time
- Jordan
- Peru
How they compare
Peru currently reports -298.00 million against -302.70 million in Jordan, a difference of 4.70 million.
The two have swapped places 1 time across 20 shared years of data; in 2006 it was Jordan ahead.
Jordan ranks 62nd and Peru ranks 61st of 84 countries.
Jordan has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Jordan | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2000s | -44.17 million | -224.75 million | 180.57 million | Jordan |
| 2010s | -78.54 million | -150.60 million | 72.06 million | Jordan |
| 2020s | -194.93 million | -291.67 million | 96.73 million | Jordan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher predetermined short-term net drains on foreign currency assets, Jordan or Peru?
- Peru, at -298.00 million against -302.70 million in Jordan as of 2025.
- What is the difference in predetermined short-term net drains on foreign currency assets between Jordan and Peru?
- 4.70 million, with Peru ahead.
- How many years of comparable data are there for Jordan and Peru?
- 20 years are reported by both, from 2006 to 2025.
- How do Jordan and Peru rank globally for predetermined short-term net drains on foreign currency assets?
- Jordan ranks 62nd and Peru ranks 61st of 84 countries.
- Where does this data come from?
- International Monetary Fund, published as Predetermined short-term net drains on foreign currency assets (nominal value), Foreign currency loans, securities and deposits, interest, More than 1 and up to 3 months, Outflows (reserves template) (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2. Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
The International Reserves and Foreign Currency Liquidity (IRFCL, or the “Reserves Data Template”) dataset includes data on the amount and composition of countries’ official reserve assets, other foreign currency assets held by monetary authorities and central governments, and short-term foreign currency obligations and related activities of monetary authorities and central governments that can lead to drains on official reserves and other foreign currency assets. This website re-disseminates IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar). Historical data by country are also available. Please note that the re-dissemination of the template data by the Fund does not constitute endorsement of the quality of the data by the Fund.