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

Ireland
0
in 2013
Philippines
0
in 2024
Ireland rank
28th
Philippines rank
28th

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

  • Ireland
  • Philippines
05.0B10.0B15.0B20.0B200020122024

How they compare

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

The two have swapped places 1 time across 13 shared years of data; in 2001 it was Ireland ahead.

Ireland ranks 28th and Philippines ranks 28th of 56 countries.

Philippines has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Ireland Philippines Difference Ahead
2000s 406.46 million 3.70 billion 3.29 billion Philippines
2010s 0 7.10 billion 7.10 billion Philippines

Averages of every year both report within each decade.

Frequently asked questions

Which has higher predetermined short-term net drains on foreign currency assets, Ireland or Philippines?
Ireland, at 0 against 0 in Philippines as of 2013.
What is the difference in predetermined short-term net drains on foreign currency assets between Ireland and Philippines?
0, with Ireland ahead.
How many years of comparable data are there for Ireland and Philippines?
13 years are reported by both, from 2001 to 2013.
How do Ireland and Philippines rank globally for predetermined short-term net drains on foreign currency assets?
Ireland ranks 28th and Philippines ranks 28th of 56 countries.
Where does this data come from?
International Monetary Fund, published as Predetermined short-term net drains on foreign currency assets (nominal value), Total forwards and futures in foreign currencies vis 㣠vis the domestic currency (including the forward leg of currency swaps), Inflows, Long positions (International Reserves and Foreign Currency Liquidity: Guidelines . 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

Ireland vs Philippines: Predetermined short-term net drains on foreign currency assets. Statizoid, drawing on International Monetary Fund. Retrieved 27 August 2026, from https://financial-sector.statizoid.com/compare/predetermined-short-term-net-drains-on-foreign-currency-assets-nominal-value-total-5/ireland/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-total-5/ireland/philippines/">Ireland 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), Total forwards and futures in foreign currencies vis 㣠vis the domestic currency (including the forward leg of currency swaps), Inflows, Long positions (International Reserves and Foreign Currency Liquidity: Guidelines
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
58 places, 1,142 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.