Military expenditure (current USD), annual growth rate in Pre-demographic dividend
Pre-demographic dividend: Military expenditure (current USD), annual growth rate was 1.45 % change on previous year in 2024. ◆ Volatile
Military expenditure (current USD), annual growth rate in Pre-demographic dividend, 1966–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Pre-demographic dividend recorded 1.45 % change on previous year for military expenditure (current usd), annual growth rate in 2024.
The figure is down 88.7% on the previous year and down 53.9% over ten years.
Over the whole period, military expenditure (current usd), annual growth rate in Pre-demographic dividend peaked at 57.13 % change on previous year in 1993 and was at its lowest, -52.28 % change on previous year, in 1982.
That places Pre-demographic dividend 35th out of 41 groups with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Military expenditure (current USD), annual growth rate in Pre-demographic dividend, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1966 | 0.9435 % change on previous year | — |
| 1967 | 31.83 % change on previous year | +3274.2% |
| 1968 | 32.05 % change on previous year | +0.7% |
| 1969 | 51.33 % change on previous year | +60.2% |
| 1970 | 7.88 % change on previous year | -84.7% |
| 1971 | 4.69 % change on previous year | -40.4% |
| 1972 | 22.95 % change on previous year | +389.4% |
| 1973 | 21.06 % change on previous year | -8.2% |
| 1974 | 54.53 % change on previous year | +158.9% |
| 1975 | 54.73 % change on previous year | +0.4% |
| 1976 | -2.67 % change on previous year | -104.9% |
| 1977 | 20.11 % change on previous year | -852.4% |
| 1978 | 12.89 % change on previous year | -35.9% |
| 1979 | 12.49 % change on previous year | -3.1% |
| 1980 | 7.75 % change on previous year | -37.9% |
| 1981 | 0.1772 % change on previous year | -97.7% |
| 1982 | -52.28 % change on previous year | -29598.9% |
| 1983 | -2.08 % change on previous year | -96.0% |
| 1984 | 0.983 % change on previous year | -147.3% |
| 1985 | -4.27 % change on previous year | -534.4% |
| 1986 | -9.86 % change on previous year | +130.8% |
| 1987 | 1.52 % change on previous year | -115.5% |
| 1988 | 6.53 % change on previous year | +328.6% |
| 1989 | -4.56 % change on previous year | -169.8% |
| 1990 | 29.57 % change on previous year | -748.5% |
| 1991 | -15.12 % change on previous year | -151.1% |
| 1992 | -33.59 % change on previous year | +122.1% |
| 1993 | 57.13 % change on previous year | -270.1% |
| 1994 | -46.72 % change on previous year | -181.8% |
| 1995 | -7.29 % change on previous year | -84.4% |
| 1996 | 10.36 % change on previous year | -242.0% |
| 1997 | 17.53 % change on previous year | +69.3% |
| 1998 | 7.93 % change on previous year | -54.8% |
| 1999 | 21.54 % change on previous year | +171.6% |
| 2000 | -17.12 % change on previous year | -179.5% |
| 2001 | -6.06 % change on previous year | -64.6% |
| 2002 | 18.74 % change on previous year | -409.2% |
| 2003 | 11.68 % change on previous year | -37.7% |
| 2004 | 52.29 % change on previous year | +347.8% |
| 2005 | 21.59 % change on previous year | -58.7% |
| 2006 | 32.93 % change on previous year | +52.5% |
| 2007 | 29.35 % change on previous year | -10.9% |
| 2008 | 43.6 % change on previous year | +48.5% |
| 2009 | -1.85 % change on previous year | -104.2% |
| 2010 | -10.83 % change on previous year | +486.8% |
| 2011 | 10.07 % change on previous year | -192.9% |
| 2012 | 1.47 % change on previous year | -85.4% |
| 2013 | 43.21 % change on previous year | +2836.5% |
| 2014 | 3.14 % change on previous year | -92.7% |
| 2015 | 0.8346 % change on previous year | -73.4% |
| 2016 | -18.69 % change on previous year | -2339.8% |
| 2017 | 16.55 % change on previous year | -188.5% |
| 2018 | -18.63 % change on previous year | -212.6% |
| 2019 | 3.4 % change on previous year | -118.2% |
| 2020 | -3.9 % change on previous year | -214.9% |
| 2021 | 6.82 % change on previous year | -274.8% |
| 2022 | -3.02 % change on previous year | -144.3% |
| 2023 | 12.81 % change on previous year | -523.8% |
| 2024 | 1.45 % change on previous year | -88.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 29.04 % change on previous year | 0.9435 % change on previous year | 51.33 % change on previous year | 4 |
| 1970s | 20.87 % change on previous year | -2.67 % change on previous year | 54.73 % change on previous year | 10 |
| 1980s | -5.61 % change on previous year | -52.28 % change on previous year | 7.75 % change on previous year | 10 |
| 1990s | 4.13 % change on previous year | -46.72 % change on previous year | 57.13 % change on previous year | 10 |
| 2000s | 18.51 % change on previous year | -17.12 % change on previous year | 52.29 % change on previous year | 10 |
| 2010s | 3.05 % change on previous year | -18.69 % change on previous year | 43.21 % change on previous year | 10 |
| 2020s | 2.83 % change on previous year | -3.9 % change on previous year | 12.81 % change on previous year | 5 |
Countries ranked near Pre-demographic dividend
- 32 Denmark 22.46 % change on previous year compare
- 33 Lithuania 21.48 % change on previous year compare
- 34 Georgia 21.14 % change on previous year compare
- 35 Eritrea 20.44 % change on previous year compare
- 36 Gabon 20.24 % change on previous year compare
- 37 Algeria 19.42 % change on previous year compare
- 38 Madagascar 19.41 % change on previous year compare
More public sector data for Pre-demographic dividend
- Arms imports 447.00 million SIPRI trend indicator values (2024)
- Arms imports (SIPRI trend indicator values), per capita 0.4046 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 -30.8 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 447.00 million SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 20.06 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0146 current USD per US$ of GDP (2024)
- Military expenditure (current USD), gaps filled 22.17 billion current USD (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 31.79 SIPRI trend indicator values per square kilometre (2023)
- Military expenditure (current USD), per square kilometre 1,075 current USD per square kilometre (2023)
Frequently asked questions
- What is military expenditure (current usd), annual growth rate in Pre-demographic dividend?
- Military expenditure (current usd), annual growth rate in Pre-demographic dividend was 1.45 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest military expenditure (current usd), annual growth rate recorded in Pre-demographic dividend?
- The highest recorded value was 57.13 % change on previous year in 1993.
- What is the lowest military expenditure (current usd), annual growth rate recorded in Pre-demographic dividend?
- The lowest recorded value was -52.28 % change on previous year in 1982.
- How does Pre-demographic dividend rank for military expenditure (current usd), annual growth rate?
- Pre-demographic dividend ranks 35th out of 41 groups with data for 2024.
- Is military expenditure (current usd), annual growth rate rising or falling in Pre-demographic dividend?
- Over the last ten years it is down 53.9%. The long-run trend across the full record is volatile.
- Where does this Pre-demographic dividend data come from?
- The figures come from Statizoid (derived), published as part of Military expenditure (current USD), annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 59 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Military expenditure (current USD). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
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
The year-on-year percentage change in Military expenditure (current USD). Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.