Predetermined short-term net drains on foreign currency assets in Kazakhstan
Kazakhstan: Predetermined short-term net drains on foreign currency assets was -3.09 billion in 2025. ◆ Volatile
Predetermined short-term net drains on foreign currency assets in Kazakhstan, 2003–2025
Source: International Monetary Fund.
Analysis
In 2025, predetermined short-term net drains on foreign currency assets in Kazakhstan stood at -3.09 billion.
That represents a change of up 50.0% on the previous year and up 35.0% over ten years.
Over the whole period, predetermined short-term net drains on foreign currency assets in Kazakhstan peaked at 41.24 million in 2007 and was at its lowest, -8.43 billion, in 2022.
Kazakhstan ranks 50th of 90 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 net drains on foreign currency assets in Kazakhstan, year by year
| Year | Value | Change |
|---|---|---|
| 2003 | -526.55 million | — |
| 2004 | -137.34 million | -73.9% |
| 2005 | -13.11 million | -90.5% |
| 2006 | -362.17 million | +2662.6% |
| 2007 | 41.24 million | -111.4% |
| 2008 | -2.75 million | -106.7% |
| 2009 | -10.51 million | +281.8% |
| 2010 | -41.71 million | +296.9% |
| 2011 | -210.27 million | +404.1% |
| 2012 | -359.32 million | +70.9% |
| 2013 | -382.04 million | +6.3% |
| 2014 | -4.88 billion | +1177.2% |
| 2015 | -4.75 billion | -2.7% |
| 2016 | -3.18 billion | -33.0% |
| 2017 | -4.26 billion | +34.0% |
| 2018 | -3.55 billion | -16.7% |
| 2019 | -3.25 billion | -8.4% |
| 2020 | -7.30 billion | +124.4% |
| 2021 | -6.90 billion | -5.5% |
| 2022 | -8.43 billion | +22.1% |
| 2023 | -5.71 billion | -32.3% |
| 2024 | -6.18 billion | +8.2% |
| 2025 | -3.09 billion | -50.0% |
Kazakhstan compared with similar countries
- Kazakhstan's -3.09 billion is above the median for upper middle income countries, which is -3.59 billion, 86% of the median. (32 countries reporting)
- Kazakhstan's -3.09 billion is below the median for Europe & Central Asia, which is -1.24 billion, 2.5× the median. (43 countries reporting)
Biggest year-on-year movements
Years where Predetermined short-term net drains on foreign currency assets in Kazakhstan 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 | -2662.6% | -13.11 million | -362.17 million |
| 2014 | -1177.2% | -382.04 million | -4.88 billion |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -144.46 million | -526.55 million | 41.24 million | 7 |
| 2010s | -2.49 billion | -4.88 billion | -41.71 million | 10 |
| 2020s | -6.27 billion | -8.43 billion | -3.09 billion | 6 |
Countries ranked near Kazakhstan
More financial sector data for Kazakhstan
- Reserve position in the IMF, US dollar, annual growth rate 5.01 % change on previous year (2025)
- Reserve position in the IMF, US dollar, per unit of GDP 0.0009 units per US$ of GDP (2025)
- Reserve position in the IMF, US dollar, per capita 13.02 units per person (2025)
- Reserve position in the IMF, SDR, annual growth rate 0 % change on previous year (2025)
- Reserve position in the IMF, SDR, per unit of GDP 0.0006 units per US$ of GDP (2025)
- Reserve position in the IMF, SDR, per capita 9.51 units per person (2025)
- Reserve tranche position, US dollar, annual growth rate 5.01 % change on previous year (2025)
- Reserve tranche position, US dollar, per unit of GDP 0.0009 units per US$ of GDP (2025)
- Reserve tranche position, US dollar, per capita 13.02 units per person (2025)
- Reserve tranche position, SDR, annual growth rate 0 % change on previous year (2025)
Frequently asked questions
- What is predetermined short-term net drains on foreign currency assets in Kazakhstan?
- Predetermined short-term net drains on foreign currency assets in Kazakhstan was -3.09 billion in 2025, according to International Monetary Fund.
- What is the highest predetermined short-term net drains on foreign currency assets recorded in Kazakhstan?
- The highest recorded value was 41.24 million in 2007.
- What is the lowest predetermined short-term net drains on foreign currency assets recorded in Kazakhstan?
- The lowest recorded value was -8.43 billion in 2022.
- How does Kazakhstan rank for predetermined short-term net drains on foreign currency assets?
- Kazakhstan ranks 50th out of 90 countries with data for 2025.
- Is predetermined short-term net drains on foreign currency assets rising or falling in Kazakhstan?
- Over the last ten years it is up 35.0%. The long-run trend across the full record is volatile.
- Where does this Kazakhstan 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) (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2013), Monetary Authorities and Central Government excluding Social Security). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 23 observations, free to reuse under IMF Terms and Conditions (attribution required).
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.