Belarus vs Philippines: Predetermined short-term net drains on foreign currency assets

Belarus
0
in 2025
Philippines
0
in 2024
Belarus rank
1st
Philippines rank
1st

Predetermined short-term net drains on foreign currency assets over time

  • Belarus
  • Philippines
-150.0M-100.0M-50.0M0200120132025

How they compare

Belarus currently reports 0 against 0 in Philippines, a difference of 0.

The two have swapped places 2 times across 6 shared years of data; in 2004 it was Philippines ahead.

Belarus ranks 1st and Philippines ranks 1st of 55 countries.

Across the 2 decades both report, Belarus averaged higher in 1 and Philippines in 1.

Head to head by decade

Decade Belarus Philippines Difference Ahead
2000s -18.27 million 0 18.27 million Philippines
2020s 0 -25.00 million 25.00 million Belarus

Averages of every year both report within each decade.

Frequently asked questions

Which has higher predetermined short-term net drains on foreign currency assets, Belarus or Philippines?
Belarus, at 0 against 0 in Philippines as of 2025.
What is the difference in predetermined short-term net drains on foreign currency assets between Belarus and Philippines?
0, with Belarus ahead.
How many years of comparable data are there for Belarus and Philippines?
6 years are reported by both, from 2004 to 2024.
How do Belarus and Philippines rank globally for predetermined short-term net drains on foreign currency assets?
Belarus ranks 1st and Philippines ranks 1st of 55 countries.
Where does this data come from?
International Monetary Fund, published as Predetermined short-term net drains on foreign currency assets (nominal value), Forwards and futures in foreign currencies vis-s-vis the domestic currency (including the forward leg of currency swaps), More than 1 and up to 3 months, Short positions (International Reserves and Foreign Currency Liqui. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Belarus vs Philippines: Predetermined short-term net drains on foreign currency assets. Statizoid, drawing on International Monetary Fund. Retrieved 25 August 2026, from https://financial-sector.statizoid.com/compare/predetermined-short-term-net-drains-on-foreign-currency-assets-nominal-value-forwards-and-2/belarus/philippines/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under IMF Terms and Conditions (attribution required); please keep the attribution.

<a href="https://financial-sector.statizoid.com/compare/predetermined-short-term-net-drains-on-foreign-currency-assets-nominal-value-forwards-and-2/belarus/philippines/">Belarus vs Philippines: Predetermined short-term net drains on foreign currency assets</a> — Statizoid

About this data

Indicator
Predetermined short-term net drains on foreign currency assets (nominal value), Forwards and futures in foreign currencies vis-s-vis the domestic currency (including the forward leg of currency swaps), More than 1 and up to 3 months, Short positions (International Reserves and Foreign Currency Liqui
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
57 places, 1,077 data points, 1999–2025
Last refreshed

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.