China vs Kyrgyzstan: Military spending
Military spending in 2025: 1.73% of GDP in China and 2.92% of GDP in Kyrgyzstan, by SIPRI estimates. In 2025 the value was higher in Kyrgyzstan, by 1.19 percentage points, or 1.69 times that in China.
ChinaKyrgyzstan
Watch it change on the map% of GDP · SIPRI
Latest figures
% of GDP · SIPRI
| Country | Latest | 10 years before | Rank in 2025 |
|---|---|---|---|
| China | 1.73 2025 | 1.74 | 74 of 151 |
| Kyrgyzstan | 2.92 2025 | 3.45 | 29 of 151 |
What the numbers say
- Kyrgyzstan has been higher since 1994, when it overtook China.
- In 2025, China ranked 74 and Kyrgyzstan ranked 29 of 151 countries, counting from the highest.
Every year
% of GDP · SIPRI
| Year | China | Kyrgyzstan |
|---|---|---|
| 2025 | 1.73 | 2.92 |
| 2024 | 1.66 | 2.93 |
| 2023 | 1.62 | 3.18 |
| 2022 | 1.59 | 2.9 |
| 2021 | 1.57 | 2.84 |
| 2020 | 1.72 | 3.11 |
| 2019 | 1.65 | 2.71 |
| 2018 | 1.64 | 3.03 |
| 2017 | 1.68 | 3.11 |
| 2016 | 1.73 | 3.34 |
| 2015 | 1.74 | 3.45 |
| 2014 | 1.71 | 3.38 |
| 2013 | 1.68 | 3.2 |
| 2012 | 1.67 | 3.21 |
| 2011 | 1.63 | 3.4 |
| 2010 | 1.7 | 3.85 |
| 2009 | 1.86 | 3.18 |
| 2008 | 1.69 | 2.91 |
| 2007 | 1.72 | 3.06 |
| 2006 | 1.84 | 3.17 |
| 2005 | 1.85 | 3.08 |
| 2004 | 1.91 | 2.85 |
| 2003 | 1.97 | 2.87 |
| 2002 | 2.03 | 2.73 |
| 2001 | 1.96 | 2.35 |
| 2000 | 1.82 | 2.88 |
| 1999 | 1.86 | 2.69 |
| 1998 | 1.64 | 2.67 |
| 1997 | 1.62 | 3.11 |
| 1996 | 1.64 | 2.99 |
| 1995 | 1.68 | 3.46 |
| 1994 | 1.74 | 2.59 |
| 1993 | 1.99 | 1.53 |
| 1992 | 2.47 | 1.64 |
| 1991 | 2.31 | – |
| 1990 | 2.45 | – |
| 1989 | 2.45 | – |
- Estimate
Each country on its own
Good to know
- What the country spends on its armed forces and defence, as a share of its economy, by SIPRI’s count.
- Source: Information from the Stockholm International Peace Research Institute (SIPRI) Military Expenditure Database, https://doi.org/10.55163/CQGC9685.
- Marked points are SIPRI’s own: a dot where it gives the figure as its estimate, a ring where it calls the figure highly uncertain.
- Ranks count the 151 countries with a value in 2025, highest first.
How the layers work, where their data comes from and what they can’t tell you: Countries through time