Military personnel, gaps filled in China
China: Military personnel, gaps filled was 2.04 million people in 2022. ◆ Volatile
Military personnel, gaps filled in China, 1860–2022
Source: Statizoid (derived). Measured in people.
Analysis
In 2022, military personnel, gaps filled in China stood at 2.04 million people.
The figure is down 10.9% over ten years.
Over the whole period, military personnel, gaps filled in China peaked at 4.78 million people in 1945 and was at its lowest, 450,000 people, in 1912.
That places China 1st out of 194 countries with data for 2022, putting it in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Military personnel, gaps filled in China, year by year
| Year | people | Change |
|---|---|---|
| 1860 | 1.00 million people | — |
| 1861 | 1.00 million people | +0.0% |
| 1862 | 1.00 million people | +0.0% |
| 1863 | 1.00 million people | +0.0% |
| 1864 | 1.00 million people | +0.0% |
| 1865 | 1.00 million people | +0.0% |
| 1866 | 1.00 million people | +0.0% |
| 1867 | 1.00 million people | +0.0% |
| 1868 | 1.00 million people | +0.0% |
| 1869 | 1.00 million people | +0.0% |
| 1870 | 1.00 million people | +0.0% |
| 1871 | 1.00 million people | +0.0% |
| 1872 | 1.00 million people | +0.0% |
| 1873 | 1.00 million people | +0.0% |
| 1874 | 1.00 million people | +0.0% |
| 1875 | 1.00 million people | +0.0% |
| 1876 | 1.00 million people | +0.0% |
| 1877 | 1.00 million people | +0.0% |
| 1878 | 1.00 million people | +0.0% |
| 1879 | 1.00 million people | +0.0% |
| 1880 | 1.00 million people | +0.0% |
| 1881 | 1.00 million people | +0.0% |
| 1882 | 1.00 million people | +0.0% |
| 1883 | 1.00 million people | +0.0% |
| 1884 | 1.00 million people | +0.0% |
| 1885 | 1.00 million people | +0.0% |
| 1886 | 1.00 million people | +0.0% |
| 1887 | 1.00 million people | +0.0% |
| 1888 | 1.00 million people | +0.0% |
| 1889 | 1.00 million people | +0.0% |
| 1890 | 1.00 million people | +0.0% |
| 1891 | 1.00 million people | +0.0% |
| 1892 | 1.00 million people | +0.0% |
| 1893 | 1.00 million people | +0.0% |
| 1894 | 1.00 million people | +0.0% |
| 1895 | 1.00 million people | +0.0% |
| 1896 | 1.00 million people | +0.0% |
| 1897 | 1.00 million people | +0.0% |
| 1898 | 1.00 million people | +0.0% |
| 1899 | 1.00 million people | +0.0% |
| 1900 | 1.00 million people | +0.0% |
| 1901 | 1.00 million people | +0.0% |
| 1902 | 1.00 million people | +0.0% |
| 1903 | 1.00 million people | +0.0% |
| 1904 | 1.00 million people | +0.0% |
| 1905 | 1.00 million people | +0.0% |
| 1906 | 1.00 million people | +0.0% |
| 1907 | 1.00 million people | +0.0% |
| 1908 | 1.00 million people | +0.0% |
| 1909 | 1.00 million people | +0.0% |
| 1910 | 1.00 million people | +0.0% |
| 1911 | 1.00 million people | +0.3% |
| 1912 | 450,000 people | -55.1% |
| 1913 | 450,000 people | +0.0% |
| 1914 | 460,000 people | +2.2% |
| 1915 | 500,000 people | +8.7% |
| 1916 | 850,000 people | +70.0% |
| 1917 | 900,000 people | +5.9% |
| 1918 | 1.30 million people | +44.4% |
| 1919 | 1.38 million people | +6.2% |
| 1920 | 1.44 million people | +4.5% |
| 1921 | 1.50 million people | +4.3% |
| 1922 | 1.57 million people | +4.1% |
| 1923 | 1.63 million people | +4.0% |
| 1924 | 1.70 million people | +4.4% |
| 1925 | 1.70 million people | +0.0% |
| 1926 | 1.70 million people | +0.0% |
| 1927 | 1.70 million people | +0.0% |
| 1928 | 1.70 million people | +0.0% |
| 1929 | 1.70 million people | +0.0% |
| 1930 | 1.70 million people | +0.0% |
| 1931 | 1.70 million people | +0.0% |
| 1932 | 1.70 million people | +0.0% |
| 1933 | 1.70 million people | +0.0% |
| 1934 | 1.70 million people | +0.0% |
| 1935 | 1.70 million people | +0.0% |
| 1936 | 1.70 million people | +0.0% |
| 1937 | 2.00 million people | +17.6% |
| 1938 | 900,000 people | -55.0% |
| 1939 | 1.49 million people | +65.3% |
| 1940 | 2.04 million people | +36.8% |
| 1941 | 2.58 million people | +26.9% |
| 1942 | 3.13 million people | +21.2% |
| 1943 | 3.68 million people | +17.5% |
| 1944 | 4.23 million people | +14.9% |
| 1945 | 4.78 million people | +12.9% |
| 1946 | 4.16 million people | -12.9% |
| 1947 | 4.01 million people | -3.4% |
| 1948 | 3.69 million people | -8.1% |
| 1949 | 2.57 million people | -30.4% |
| 1950 | 4.00 million people | +55.6% |
| 1951 | 3.00 million people | -25.0% |
| 1952 | 3.03 million people | +0.9% |
| 1953 | 3.05 million people | +0.9% |
| 1954 | 3.08 million people | +0.9% |
| 1955 | 3.00 million people | -2.5% |
| 1956 | 3.13 million people | +4.3% |
| 1957 | 3.16 million people | +0.8% |
| 1958 | 3.18 million people | +0.8% |
| 1959 | 3.21 million people | +0.8% |
| 1960 | 3.23 million people | +0.8% |
| 1961 | 2.20 million people | -32.0% |
| 1962 | 2.30 million people | +4.5% |
| 1963 | 2.50 million people | +8.7% |
| 1964 | 2.75 million people | +10.0% |
| 1965 | 2.40 million people | -12.7% |
| 1966 | 2.60 million people | +8.3% |
| 1967 | 2.71 million people | +4.2% |
| 1968 | 2.80 million people | +3.3% |
| 1969 | 2.83 million people | +1.1% |
| 1970 | 2.85 million people | +0.7% |
| 1971 | 2.97 million people | +4.2% |
| 1972 | 3.04 million people | +2.4% |
| 1973 | 3.25 million people | +6.9% |
| 1974 | 4.30 million people | +32.3% |
| 1975 | 4.30 million people | +0.0% |
| 1976 | 4.30 million people | +0.0% |
| 1977 | 4.30 million people | +0.0% |
| 1978 | 4.50 million people | +4.7% |
| 1979 | 4.60 million people | +2.2% |
| 1980 | 4.65 million people | +1.1% |
| 1981 | 4.75 million people | +2.2% |
| 1982 | 4.35 million people | -8.4% |
| 1983 | 4.10 million people | -5.7% |
| 1984 | 4.10 million people | +0.0% |
| 1985 | 4.10 million people | +0.0% |
| 1986 | 4.03 million people | -1.7% |
| 1987 | 3.53 million people | -12.4% |
| 1988 | 3.78 million people | +7.1% |
| 1989 | 3.90 million people | +3.2% |
| 1990 | 3.50 million people | -10.3% |
| 1991 | 3.20 million people | -8.6% |
| 1992 | 3.16 million people | -1.2% |
| 1993 | 3.03 million people | -4.1% |
| 1994 | 2.93 million people | -3.3% |
| 1995 | 2.93 million people | +0.0% |
| 1996 | 2.65 million people | -9.6% |
| 1997 | 2.60 million people | -1.9% |
| 1998 | 2.60 million people | +0.0% |
| 1999 | 2.40 million people | -7.7% |
| 2000 | 2.81 million people | +17.1% |
| 2001 | 2.31 million people | -17.8% |
| 2002 | 2.27 million people | -1.7% |
| 2003 | 2.25 million people | -0.9% |
| 2004 | 2.25 million people | +0.1% |
| 2005 | 2.25 million people | +0.1% |
| 2006 | 2.25 million people | +0.0% |
| 2007 | 2.25 million people | +0.0% |
| 2008 | 2.10 million people | -6.7% |
| 2009 | 2.19 million people | +3.8% |
| 2010 | 2.29 million people | +4.6% |
| 2011 | 2.29 million people | +0.0% |
| 2012 | 2.29 million people | +0.0% |
| 2013 | 2.29 million people | +0.0% |
| 2014 | 2.33 million people | +2.1% |
| 2015 | 2.33 million people | +0.0% |
| 2016 | 2.33 million people | +0.0% |
| 2017 | 2.18 million people | -6.4% |
| 2018 | 2.04 million people | -6.8% |
| 2019 | 2.04 million people | +0.0% |
| 2020 | 2.04 million people | +0.0% |
| 2021 | 2.04 million people | +0.0% |
| 2022 | 2.04 million people | +0.0% |
China compared with similar countries
- China's 2.04 million people is above the median for upper middle income countries, which is 23,000 people, 88.5× the median. (58 countries reporting)
- China's 2.04 million people is above the median for East Asia & Pacific, which is 9,500 people, 214.2× the median. (30 countries reporting)
Biggest year-on-year movements
Years where Military personnel, gaps filled in China 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 |
|---|---|---|---|
| 1916 | +70.0% | 500,000 people | 850,000 people |
| 1939 | +65.3% | 900,000 people | 1.49 million people |
| 1950 | +55.6% | 2.57 million people | 4.00 million people |
| 1912 | -55.1% | 1.00 million people | 450,000 people |
| 1938 | -55.0% | 2.00 million people | 900,000 people |
| 1918 | +44.4% | 900,000 people | 1.30 million people |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1860s | 1.00 million people | 1.00 million people | 1.00 million people | 10 |
| 1870s | 1.00 million people | 1.00 million people | 1.00 million people | 10 |
| 1880s | 1.00 million people | 1.00 million people | 1.00 million people | 10 |
| 1890s | 1.00 million people | 1.00 million people | 1.00 million people | 10 |
| 1900s | 1.00 million people | 1.00 million people | 1.00 million people | 10 |
| 1910s | 829,300 people | 450,000 people | 1.38 million people | 10 |
| 1920s | 1.63 million people | 1.44 million people | 1.70 million people | 10 |
| 1930s | 1.63 million people | 900,000 people | 2.00 million people | 10 |
| 1940s | 3.49 million people | 2.04 million people | 4.78 million people | 10 |
| 1950s | 3.18 million people | 3.00 million people | 4.00 million people | 10 |
| 1960s | 2.63 million people | 2.20 million people | 3.23 million people | 10 |
| 1970s | 3.84 million people | 2.85 million people | 4.60 million people | 10 |
| 1980s | 4.13 million people | 3.53 million people | 4.75 million people | 10 |
| 1990s | 2.90 million people | 2.40 million people | 3.50 million people | 10 |
| 2000s | 2.29 million people | 2.10 million people | 2.81 million people | 10 |
| 2010s | 2.24 million people | 2.04 million people | 2.33 million people | 10 |
| 2020s | 2.04 million people | 2.04 million people | 2.04 million people | 3 |
Countries ranked near China
- 2 India 1.46 million people compare
- 3 United States 1.36 million people compare
- 4 North Korea 1.28 million people compare
More reference data data for China
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 49.4 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 75.5 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 303.29 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 18.8 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 303.29 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 165.62 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 206.2 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 350.74 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1,480 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 102.37 (2050)
Frequently asked questions
- What is military personnel, gaps filled in China?
- Military personnel, gaps filled in China was 2.04 million people in 2022, according to Statizoid (derived).
- What is the highest military personnel, gaps filled recorded in China?
- The highest recorded value was 4.78 million people in 1945.
- What is the lowest military personnel, gaps filled recorded in China?
- The lowest recorded value was 450,000 people in 1912.
- How does China rank for military personnel, gaps filled?
- China ranks 1st out of 194 countries with data for 2022.
- Is military personnel, gaps filled rising or falling in China?
- Over the last ten years it is down 10.9%. The long-run trend across the full record is volatile.
- Where does this China data come from?
- The figures come from Statizoid (derived), published as part of Military personnel, gaps filled. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 163 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Military personnel with 103 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 personnel Correlates of War – National Material Capabilities Version 7.0 (2026) – with minor processing by Our World in Data
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 personnel with 103 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.