Military expenditure (current USD), gaps filled in Lower middle income
Lower middle income: Military expenditure (current USD), gaps filled was 127.03 billion current USD in 2024. ◆ Volatile
Military expenditure (current USD), gaps filled in Lower middle income, 1960–2024
Source: Statizoid (derived). Measured in current USD.
Analysis
In 2024, military expenditure (current usd), gaps filled in Lower middle income stood at 127.03 billion current USD. That is the highest value across all 65 years on record.
That represents a change of up 4.4% on the previous year and up 33.9% over ten years.
Over the whole period, military expenditure (current usd), gaps filled in Lower middle income peaked at 127.03 billion current USD in 2024 and was at its lowest, 1.32 billion current USD, in 1961.
That places Lower middle income 19th out of 41 groups with data for 2024, putting it 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 Lower middle income, year by year
| Year | current USD | Change |
|---|---|---|
| 1960 | 1.35 billion current USD | — |
| 1961 | 1.32 billion current USD | -1.9% |
| 1962 | 2.01 billion current USD | +51.9% |
| 1963 | 2.92 billion current USD | +45.5% |
| 1964 | 3.25 billion current USD | +11.2% |
| 1965 | 3.70 billion current USD | +13.9% |
| 1966 | 3.34 billion current USD | -9.6% |
| 1967 | 3.34 billion current USD | +0.0% |
| 1968 | 3.85 billion current USD | +15.2% |
| 1969 | 4.59 billion current USD | +19.1% |
| 1970 | 5.09 billion current USD | +10.8% |
| 1971 | 5.91 billion current USD | +16.3% |
| 1972 | 6.10 billion current USD | +3.2% |
| 1973 | 6.67 billion current USD | +9.3% |
| 1974 | 8.55 billion current USD | +28.3% |
| 1975 | 11.32 billion current USD | +32.3% |
| 1976 | 11.47 billion current USD | +1.4% |
| 1977 | 13.41 billion current USD | +16.9% |
| 1978 | 14.84 billion current USD | +10.7% |
| 1979 | 15.04 billion current USD | +1.4% |
| 1980 | 16.82 billion current USD | +11.8% |
| 1981 | 17.23 billion current USD | +2.4% |
| 1982 | 17.99 billion current USD | +4.4% |
| 1983 | 19.76 billion current USD | +9.8% |
| 1984 | 19.70 billion current USD | -0.3% |
| 1985 | 20.17 billion current USD | +2.4% |
| 1986 | 22.43 billion current USD | +11.2% |
| 1987 | 24.06 billion current USD | +7.2% |
| 1988 | 24.90 billion current USD | +3.5% |
| 1989 | 23.97 billion current USD | -3.8% |
| 1990 | 24.29 billion current USD | +1.3% |
| 1991 | 20.26 billion current USD | -16.6% |
| 1992 | 20.67 billion current USD | +2.0% |
| 1993 | 22.75 billion current USD | +10.1% |
| 1994 | 23.08 billion current USD | +1.4% |
| 1995 | 26.21 billion current USD | +13.6% |
| 1996 | 26.92 billion current USD | +2.7% |
| 1997 | 29.79 billion current USD | +10.7% |
| 1998 | 30.70 billion current USD | +3.0% |
| 1999 | 34.14 billion current USD | +11.2% |
| 2000 | 36.46 billion current USD | +6.8% |
| 2001 | 37.89 billion current USD | +3.9% |
| 2002 | 39.97 billion current USD | +5.5% |
| 2003 | 55.03 billion current USD | +37.7% |
| 2004 | 66.14 billion current USD | +20.2% |
| 2005 | 74.80 billion current USD | +13.1% |
| 2006 | 45.62 billion current USD | -39.0% |
| 2007 | 52.40 billion current USD | +14.9% |
| 2008 | 62.21 billion current USD | +18.7% |
| 2009 | 67.05 billion current USD | +7.8% |
| 2010 | 77.59 billion current USD | +15.7% |
| 2011 | 82.96 billion current USD | +6.9% |
| 2012 | 87.34 billion current USD | +5.3% |
| 2013 | 91.87 billion current USD | +5.2% |
| 2014 | 94.89 billion current USD | +3.3% |
| 2015 | 90.81 billion current USD | -4.3% |
| 2016 | 95.68 billion current USD | +5.4% |
| 2017 | 105.28 billion current USD | +10.0% |
| 2018 | 107.70 billion current USD | +2.3% |
| 2019 | 109.83 billion current USD | +2.0% |
| 2020 | 112.54 billion current USD | +2.5% |
| 2021 | 121.64 billion current USD | +8.1% |
| 2022 | 121.81 billion current USD | +0.1% |
| 2023 | 121.70 billion current USD | -0.1% |
| 2024 | 127.03 billion current USD | +4.4% |
Biggest year-on-year movements
Years where Military expenditure (current USD), gaps filled in Lower middle income 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 |
|---|---|---|---|
| 1962 | +51.9% | 1.32 billion current USD | 2.01 billion current USD |
| 2006 | -39.0% | 74.80 billion current USD | 45.62 billion current USD |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2.97 billion current USD | 1.32 billion current USD | 4.59 billion current USD | 10 |
| 1970s | 9.84 billion current USD | 5.09 billion current USD | 15.04 billion current USD | 10 |
| 1980s | 20.70 billion current USD | 16.82 billion current USD | 24.90 billion current USD | 10 |
| 1990s | 25.88 billion current USD | 20.26 billion current USD | 34.14 billion current USD | 10 |
| 2000s | 53.76 billion current USD | 36.46 billion current USD | 74.80 billion current USD | 10 |
| 2010s | 94.39 billion current USD | 77.59 billion current USD | 109.83 billion current USD | 10 |
| 2020s | 120.95 billion current USD | 112.54 billion current USD | 127.03 billion current USD | 5 |
Countries ranked near Lower middle income
- 16 Canada 29.35 billion current USD compare
- 17 Turkey 24.98 billion current USD compare
- 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
More public sector data for Lower middle income
- Arms imports 3.03 billion SIPRI trend indicator values (2024)
- Arms imports (SIPRI trend indicator values), per capita 1.04 SIPRI trend indicator values per person (2024)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0004 SIPRI trend indicator values per US$ of GDP (2024)
- Arms imports (SIPRI trend indicator values), annual growth rate -52.59 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 3.03 billion SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 43.69 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0186 current USD per US$ of GDP (2024)
- Military expenditure (current USD), annual growth rate 4.38 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 338.17 SIPRI trend indicator values per square kilometre (2023)
- Military expenditure (current USD), per square kilometre 6,446 current USD per square kilometre (2023)
Frequently asked questions
- What is military expenditure (current usd), gaps filled in Lower middle income?
- Military expenditure (current usd), gaps filled in Lower middle income was 127.03 billion current USD in 2024, according to Statizoid (derived).
- What is the highest military expenditure (current usd), gaps filled recorded in Lower middle income?
- The highest recorded value was 127.03 billion current USD in 2024.
- What is the lowest military expenditure (current usd), gaps filled recorded in Lower middle income?
- The lowest recorded value was 1.32 billion current USD in 1961.
- How does Lower middle income rank for military expenditure (current usd), gaps filled?
- Lower middle income ranks 19th out of 41 groups with data for 2024.
- Is military expenditure (current usd), gaps filled rising or falling in Lower middle income?
- Over the last ten years it is up 33.9%. The long-run trend across the full record is volatile.
- Where does this Lower middle income 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.