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

India
0
in 2025
Philippines
0
in 2024
India rank
26th
Philippines rank
26th

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

  • India
  • Philippines
02.0B4.0B6.0B200320142025

How they compare

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

The two have swapped places 3 times across 16 shared years of data; in 2007 it was Philippines ahead.

India ranks 26th and Philippines ranks 26th of 53 countries.

Across the 3 decades both report, India averaged higher in 1 and Philippines in 2.

Head to head by decade

Decade India Philippines Difference Ahead
2000s 625.00 million 4.32 billion 3.69 billion Philippines
2010s 1.17 billion 1.62 billion 449.94 million Philippines
2020s 3.02 billion 754.00 million 2.27 billion India

Averages of every year both report within each decade.

Frequently asked questions

Which has higher predetermined short-term net drains on foreign currency assets, India or Philippines?
India, at 0 against 0 in Philippines as of 2025.
What is the difference in predetermined short-term net drains on foreign currency assets between India and Philippines?
0, with India ahead.
How many years of comparable data are there for India and Philippines?
16 years are reported by both, from 2007 to 2024.
How do India and Philippines rank globally for predetermined short-term net drains on foreign currency assets?
India ranks 26th and Philippines ranks 26th of 53 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), Up to 1 month, Inflows, Long positions (International Reserves and Foreign Currency Liquidity: Gui. 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

India 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-forwards-and-4/india/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-4/india/philippines/">India 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), Up to 1 month, Inflows, Long positions (International Reserves and Foreign Currency Liquidity: Gui
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
55 places, 1,090 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.