Military expenditure (current USD), gaps filled in South Asia (IDA & IBRD)
South Asia (IDA & IBRD): Military expenditure (current USD), gaps filled was 91.92 billion current USD in 2024. ◆ Volatile
Military expenditure (current USD), gaps filled in South Asia (IDA & IBRD), 1960–2024
Source: Statizoid (derived). Measured in current USD.
Analysis
South Asia (IDA & IBRD) recorded 91.92 billion current USD for military expenditure (current usd), gaps filled in 2024. That is the highest value across all 65 years on record.
Compared with earlier readings it is up 4.8% on the previous year and up 65.6% over ten years.
Over the whole period, military expenditure (current usd), gaps filled in South Asia (IDA & IBRD) peaked at 91.92 billion current USD in 2024 and was at its lowest, 698.42 million current USD, in 1960.
South Asia (IDA & IBRD) ranks 21st of 41 groups 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.
Military expenditure (current USD), gaps filled in South Asia (IDA & IBRD), year by year
| Year | current USD | Change |
|---|---|---|
| 1960 | 698.42 million current USD | — |
| 1961 | 765.47 million current USD | +9.6% |
| 1962 | 1.08 billion current USD | +41.3% |
| 1963 | 1.81 billion current USD | +67.3% |
| 1964 | 2.00 billion current USD | +10.6% |
| 1965 | 2.14 billion current USD | +7.0% |
| 1966 | 1.68 billion current USD | -21.7% |
| 1967 | 1.50 billion current USD | -10.3% |
| 1968 | 1.60 billion current USD | +6.5% |
| 1969 | 1.71 billion current USD | +6.6% |
| 1970 | 1.86 billion current USD | +8.9% |
| 1971 | 2.29 billion current USD | +23.4% |
| 1972 | 2.50 billion current USD | +9.2% |
| 1973 | 2.61 billion current USD | +4.3% |
| 1974 | 3.00 billion current USD | +15.1% |
| 1975 | 3.45 billion current USD | +14.7% |
| 1976 | 3.44 billion current USD | -0.3% |
| 1977 | 3.65 billion current USD | +6.1% |
| 1978 | 4.15 billion current USD | +13.7% |
| 1979 | 4.77 billion current USD | +15.0% |
| 1980 | 5.64 billion current USD | +18.2% |
| 1981 | 6.10 billion current USD | +8.2% |
| 1982 | 6.54 billion current USD | +7.1% |
| 1983 | 7.14 billion current USD | +9.2% |
| 1984 | 7.29 billion current USD | +2.1% |
| 1985 | 8.01 billion current USD | +10.0% |
| 1986 | 9.99 billion current USD | +24.7% |
| 1987 | 11.43 billion current USD | +14.4% |
| 1988 | 11.88 billion current USD | +4.0% |
| 1989 | 11.13 billion current USD | -6.3% |
| 1990 | 11.13 billion current USD | +0.0% |
| 1991 | 9.32 billion current USD | -16.3% |
| 1992 | 8.88 billion current USD | -4.7% |
| 1993 | 9.12 billion current USD | +2.7% |
| 1994 | 9.90 billion current USD | +8.6% |
| 1995 | 11.18 billion current USD | +12.9% |
| 1996 | 11.35 billion current USD | +1.5% |
| 1997 | 12.89 billion current USD | +13.5% |
| 1998 | 13.40 billion current USD | +4.0% |
| 1999 | 15.31 billion current USD | +14.3% |
| 2000 | 15.90 billion current USD | +3.9% |
| 2001 | 16.05 billion current USD | +0.9% |
| 2002 | 16.09 billion current USD | +0.3% |
| 2003 | 17.70 billion current USD | +10.0% |
| 2004 | 21.76 billion current USD | +22.9% |
| 2005 | 24.65 billion current USD | +13.3% |
| 2006 | 25.73 billion current USD | +4.4% |
| 2007 | 30.43 billion current USD | +18.3% |
| 2008 | 35.73 billion current USD | +17.4% |
| 2009 | 41.71 billion current USD | +16.7% |
| 2010 | 49.50 billion current USD | +18.7% |
| 2011 | 53.47 billion current USD | +8.0% |
| 2012 | 50.77 billion current USD | -5.1% |
| 2013 | 51.33 billion current USD | +1.1% |
| 2014 | 55.51 billion current USD | +8.1% |
| 2015 | 56.49 billion current USD | +1.8% |
| 2016 | 61.98 billion current USD | +9.7% |
| 2017 | 70.13 billion current USD | +13.2% |
| 2018 | 71.98 billion current USD | +2.6% |
| 2019 | 77.81 billion current USD | +8.1% |
| 2020 | 79.51 billion current USD | +2.2% |
| 2021 | 83.19 billion current USD | +4.6% |
| 2022 | 85.65 billion current USD | +3.0% |
| 2023 | 87.68 billion current USD | +2.4% |
| 2024 | 91.92 billion current USD | +4.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.50 billion current USD | 698.42 million current USD | 2.14 billion current USD | 10 |
| 1970s | 3.17 billion current USD | 1.86 billion current USD | 4.77 billion current USD | 10 |
| 1980s | 8.51 billion current USD | 5.64 billion current USD | 11.88 billion current USD | 10 |
| 1990s | 11.25 billion current USD | 8.88 billion current USD | 15.31 billion current USD | 10 |
| 2000s | 24.57 billion current USD | 15.90 billion current USD | 41.71 billion current USD | 10 |
| 2010s | 59.90 billion current USD | 49.50 billion current USD | 77.81 billion current USD | 10 |
| 2020s | 85.59 billion current USD | 79.51 billion current USD | 91.92 billion current USD | 5 |
Countries ranked near South Asia (IDA & IBRD)
- 18 Spain 24.62 billion current USD compare
- 19 Netherlands 23.18 billion current USD compare
- 20 United Arab Emirates 22.76 billion current USD compare
- 21 Algeria 21.81 billion current USD compare
- 22 Brazil 20.95 billion current USD compare
- 23 Mexico 16.73 billion current USD compare
- 24 Qatar 15.41 billion current USD compare
More public sector data for South Asia (IDA & IBRD)
- Arms imports 1.26 billion SIPRI trend indicator values (2024)
- Arms imports (SIPRI trend indicator values), per capita 0.7506 SIPRI trend indicator values per person (2024)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0003 SIPRI trend indicator values per US$ of GDP (2024)
- Arms imports (SIPRI trend indicator values), annual growth rate -19.55 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 1.26 billion SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 54.8 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0211 current USD per US$ of GDP (2024)
- Military expenditure (current USD), annual growth rate 4.84 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 467.61 SIPRI trend indicator values per square kilometre (2023)
- Military expenditure (current USD), per square kilometre 26,198 current USD per square kilometre (2023)
Frequently asked questions
- What is military expenditure (current usd), gaps filled in South Asia (IDA & IBRD)?
- Military expenditure (current usd), gaps filled in South Asia (IDA & IBRD) was 91.92 billion current USD in 2024, according to Statizoid (derived).
- What is the highest military expenditure (current usd), gaps filled recorded in South Asia (IDA & IBRD)?
- The highest recorded value was 91.92 billion current USD in 2024.
- What is the lowest military expenditure (current usd), gaps filled recorded in South Asia (IDA & IBRD)?
- The lowest recorded value was 698.42 million current USD in 1960.
- How does South Asia (IDA & IBRD) rank for military expenditure (current usd), gaps filled?
- South Asia (IDA & IBRD) ranks 21st out of 41 groups with data for 2024.
- Is military expenditure (current usd), gaps filled rising or falling in South Asia (IDA & IBRD)?
- Over the last ten years it is up 65.6%. The long-run trend across the full record is volatile.
- Where does this South Asia (IDA & IBRD) data come from?
- The figures come from Statizoid (derived), published as part of Military expenditure (current USD), gaps filled. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 65 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Military expenditure (current USD) with 107 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Computed from
- Military expenditure SIPRI Military Expenditure Database, Stockholm International Peace Research Institute (SIPRI)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Military expenditure (current USD) with 107 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.