Predetermined short-term: Gui in Philippines
Philippines: Predetermined short-term: Gui was 0 in 2024. ◆ Volatile
Predetermined short-term net drains on foreign currency assets in Philippines, 2003–2024
Source: International Monetary Fund.
Analysis
Philippines recorded 0 for predetermined short-term net drains on foreign currency assets in 2024. That is the lowest value across all 20 years on record.
Compared with earlier readings it is down 100.0% on the previous year and down 100.0% over ten years.
Over the whole period, predetermined short-term net drains on foreign currency assets in Philippines peaked at 6.56 billion in 2010 and was at its lowest, 0, in 2004.
Philippines ranks 26th of 53 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Predetermined short-term: Gui in Philippines, year by year
| Year | Value | Change |
|---|---|---|
| 2003 | 44.90 million | — |
| 2004 | 0 | -100.0% |
| 2005 | 490.00 million | — |
| 2006 | 3.72 billion | +659.9% |
| 2007 | 4.61 billion | +23.9% |
| 2008 | 2.32 billion | -49.6% |
| 2009 | 6.02 billion | +159.1% |
| 2010 | 6.56 billion | +9.0% |
| 2011 | 3.23 billion | -50.8% |
| 2012 | 2.63 billion | -18.4% |
| 2013 | 324.00 million | -87.7% |
| 2015 | 830.00 million | +156.2% |
| 2016 | 0 | -100.0% |
| 2017 | 425.00 million | — |
| 2018 | 0 | -100.0% |
| 2019 | 553.00 million | — |
| 2020 | 0 | -100.0% |
| 2021 | 0 | — |
| 2023 | 3.02 billion | — |
| 2024 | 0 | -100.0% |
Philippines compared with similar countries
- Philippines's 0 is below the median for East Asia & Pacific, which is 367.50 million. (10 countries reporting)
Biggest year-on-year movements
Years where Predetermined short-term: Gui in Philippines changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2006 | +659.9% | 490.00 million | 3.72 billion |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 2.46 billion | 0 | 6.02 billion | 7 |
| 2010s | 1.62 billion | 0 | 6.56 billion | 9 |
| 2020s | 754.00 million | 0 | 3.02 billion | 4 |
Countries ranked near Philippines
- 23 Malta 6.46 million compare
- 24 Belgium 2.35 million compare
- 25 Lithuania 2.23 million compare
- 26 Bulgaria 0
- 26 Belarus 0
- 26 Canada 0 compare
- 26 Chile 0 compare
- 26 Colombia 0 compare
- 26 Cyprus 0
- 26 Germany 0 compare
- 26 Estonia 0 compare
- 26 Greece 0 compare
- 26 Guatemala 0
- 26 Hong Kong 0 compare
- 26 India 0 compare
- 26 Ireland 0 compare
- 26 Iceland 0
- 26 Israel 0 compare
- 26 Italy 0 compare
- 26 Kyrgyzstan 0 compare
- 26 South Korea 0 compare
- 26 Sri Lanka 0 compare
- 26 Luxembourg 0 compare
- 26 Mauritius 0
- 26 Norway 0 compare
- 26 Portugal 0 compare
- 26 Paraguay 0
- 26 Turkey 0 compare
- 26 Uruguay 0 compare
- 26 West Bank and Gaza 0
More financial sector data for Philippines
- Reserve position in the IMF, US dollar, annual growth rate 7.66 % change on previous year (2025)
- Reserve position in the IMF, US dollar, per unit of GDP 0.0015 units per US$ of GDP (2025)
- Reserve position in the IMF, US dollar, per capita 6.23 units per person (2025)
- Reserve position in the IMF, SDR, annual growth rate 2.52 % change on previous year (2025)
- Reserve position in the IMF, SDR, per unit of GDP 0.0011 units per US$ of GDP (2025)
- Reserve position in the IMF, SDR, per capita 4.55 units per person (2025)
- Reserve tranche position, US dollar, annual growth rate 7.66 % change on previous year (2025)
- Reserve tranche position, US dollar, per unit of GDP 0.0015 units per US$ of GDP (2025)
- Reserve tranche position, US dollar, per capita 6.23 units per person (2025)
- Reserve tranche position, SDR, annual growth rate 2.52 % change on previous year (2025)
Frequently asked questions
- What is predetermined short-term net drains on foreign currency assets in Philippines?
- Predetermined short-term net drains on foreign currency assets in Philippines was 0 in 2024, according to International Monetary Fund.
- What is the highest predetermined short-term net drains on foreign currency assets recorded in Philippines?
- The highest recorded value was 6.56 billion in 2010.
- What is the lowest predetermined short-term net drains on foreign currency assets recorded in Philippines?
- The lowest recorded value was 0 in 2004.
- How does Philippines rank for predetermined short-term net drains on foreign currency assets?
- Philippines ranks 26th out of 53 countries with data for 2024.
- Is predetermined short-term net drains on foreign currency assets rising or falling in Philippines?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Philippines data come from?
- The figures come from International Monetary Fund, published as part of 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 updates them automatically from the source API.
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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.