刚果(金)与越南对比
刚果(金)与越南:热带夜
2014 年热带夜:刚果(金)为 248.5 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年刚果(金)的数值较高,高出 5.9 夜,是越南的 1.02 倍。
每年夜数 · CMIP6
数据解读
- 自 2008 年超过越南以来,刚果(金)的数值一直更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年刚果(金)为 324.1 夜,越南为 282.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 刚果(金) | 越南 |
|---|---|---|
| 2014 | 248.5 | 242.6 |
| 2013 | 249.2 | 243.6 |
| 2012 | 250.9 | 242.4 |
| 2011 | 248.7 | 241.9 |
| 2010 | 243.5 | 240.9 |
| 2009 | 243 | 240 |
| 2008 | 239.7 | 238.7 |
| 2007 | 237.7 | 238 |
| 2006 | 239 | 239.1 |
| 2005 | 237.3 | 238.3 |
| 2004 | 238.5 | 241.8 |
| 2003 | 239.3 | 235.9 |
| 2002 | 236.5 | 236.3 |
| 2001 | 242.5 | 241.3 |
| 2000 | 233.5 | 237 |
| 1999 | 226.2 | 236 |
| 1998 | 230.6 | 236.8 |
| 1997 | 226.6 | 237.1 |
| 1996 | 218.6 | 231.4 |
| 1995 | 217.2 | 229.9 |
| 1994 | 211.9 | 231.2 |
| 1993 | 201.5 | 225.3 |
| 1992 | 197.6 | 221.9 |
| 1991 | 220.1 | 229.8 |
| 1990 | 225.4 | 233.1 |
| 1989 | 218.4 | 229.2 |
| 1988 | 216.7 | 231.7 |
| 1987 | 216.6 | 230.3 |
| 1986 | 216.8 | 230.9 |
| 1985 | 206.1 | 228 |
| 1984 | 205.9 | 230.2 |
| 1983 | 204.3 | 224.9 |
| 1982 | 204.5 | 227.5 |
| 1981 | 215.2 | 229.7 |
| 1980 | 211.4 | 228.1 |
| 1979 | 208.5 | 228.9 |
| 1978 | 202.6 | 227.5 |
| 1977 | 206.5 | 229 |
| 1976 | 201.9 | 225.8 |
| 1975 | 199 | 225.8 |
| 1974 | 204 | 225.7 |
| 1973 | 208.4 | 230.3 |
| 1972 | 202.5 | 225.6 |
| 1971 | 196.3 | 225.5 |
| 1970 | 201.7 | 226.1 |
| 1969 | 197.3 | 227 |
| 1968 | 199 | 227.1 |
| 1967 | 188.8 | 222.9 |
| 1966 | 194.7 | 226.8 |
| 1965 | 189 | 225.4 |
| 1964 | 177.3 | 222.6 |
| 1963 | 178.5 | 224.3 |
| 1962 | 203.2 | 227.8 |
| 1961 | 203.9 | 229.4 |
| 1960 | 209.8 | 228.5 |
| 1959 | 203.3 | 226.2 |
| 1958 | 204.3 | 230.9 |
| 1957 | 204 | 228.4 |
| 1956 | 197.6 | 228.7 |
| 1955 | 200.5 | 227.5 |
| 1954 | 201 | 226.3 |
| 1953 | 204.6 | 228.2 |
| 1952 | 201.9 | 228.5 |
| 1951 | 204.8 | 229.2 |
| 1950 | 200.8 | 228.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 刚果(金) | 越南 |
|---|---|---|
| 2015 | 256.6217.3–277.7 | 245.8228.2–261.9 |
| 2016 | 247.7213.3–269.3 | 243.7226.1–259.4 |
| 2017 | 257.4226.6–278.3 | 247229.6–260.7 |
| 2018 | 258.8228.1–276.8 | 248.3228.8–263.3 |
| 2019 | 255.8222.6–278.7 | 248.1229.2–262.8 |
| 2020 | 259.4227.4–282.3 | 248.8229.6–262.9 |
| 2021 | 262.6234.7–283.8 | 251.1233.1–266.7 |
| 2022 | 264.8235.1–288.5 | 252.4234.3–266.8 |
| 2023 | 263.9236.8–287.2 | 253.4235.4–266.6 |
| 2024 | 270.9237.9–290 | 251.3236.7–264.6 |
| 2025 | 266.1230.6–292.2 | 252.4234.1–266.2 |
| 2026 | 267.4226.8–294.5 | 252.8232.9–268.5 |
| 2027 | 268.6230.6–293.6 | 253.2237–268.8 |
| 2028 | 271.7239.7–295.9 | 254.3237.7–272 |
| 2029 | 275.9249.3–296.6 | 258.1238.5–273.7 |
| 2030 | 270.4241.7–296.1 | 256.4240.9–270.1 |
| 2031 | 279.4246.6–297.5 | 255.9241.2–270.9 |
| 2032 | 277.9249.4–302.3 | 257.4239.1–269.9 |
| 2033 | 276.9245.9–301.6 | 258.3241.7–273.2 |
| 2034 | 276.7247.4–305.6 | 258.8240.7–275.8 |
| 2035 | 281243.7–305.1 | 258.6242.5–275.4 |
| 2036 | 278.3244.7–304.9 | 258.3239.1–273.8 |
| 2037 | 286.9256.1–308.6 | 258.7242.4–272.4 |
| 2038 | 289261.5–307.1 | 263.4247.6–277.3 |
| 2039 | 284.7253.4–307.3 | 260.2243.7–275.9 |
| 2040 | 284.5254.7–311.5 | 260.1242.8–274.8 |
| 2041 | 289.9258.4–310.8 | 263.1245.9–279 |
| 2042 | 286.9254.1–314.3 | 263.6246.5–279 |
| 2043 | 285.9253–313 | 261.4245.5–279.6 |
| 2044 | 288.3253.6–312.5 | 263.2245.2–277.6 |
| 2045 | 289.4260.1–314.1 | 265.5249.6–281.4 |
| 2046 | 298.3261.3–317.3 | 264.9246.8–278.1 |
| 2047 | 298.5268.2–317.8 | 266.9250.4–282.9 |
| 2048 | 299.1268–320.8 | 268250.5–283.8 |
| 2049 | 300.3269.6–320.4 | 267.8251.2–284.8 |
| 2050 | 297.8267.2–320.6 | 268251.2–283.5 |
| 2051 | 298.4272.3–323.1 | 270.9254.3–285.4 |
| 2052 | 300.2271.5–324 | 268.3253.3–282.8 |
| 2053 | 298.7265.5–322.6 | 268.5250.1–283.2 |
| 2054 | 300.6269.6–322.8 | 269.1250.8–283.6 |
| 2055 | 301.9274.9–325.6 | 270249.8–284.2 |
| 2056 | 302.1266.2–328.3 | 271.7254.8–290.1 |
| 2057 | 305.1274.4–326.5 | 270253–285.7 |
| 2058 | 305.3274.1–327.1 | 270.7252.9–286.5 |
| 2059 | 305.4279–329.6 | 273257.6–286.6 |
| 2060 | 310.7273.5–330.2 | 275.7255.6–290.6 |
| 2061 | 307266.1–329.8 | 273.5254.6–289.5 |
| 2062 | 308.8269.1–332 | 271.4253.1–290.2 |
| 2063 | 308.4277.6–328.4 | 272.9252.7–288.1 |
| 2064 | 310.6278.4–329.6 | 273.8254.4–288.1 |
| 2065 | 311.9282.4–331.2 | 272255.8–286.3 |
| 2066 | 310.4284.2–330.3 | 271.8254.4–287.3 |
| 2067 | 308.8275.9–334 | 270.8252.1–287.6 |
| 2068 | 313.9280.8–334.6 | 275.6256.9–292.4 |
| 2069 | 312.1270.6–332.7 | 276.4258.5–292 |
| 2070 | 309.6278–334 | 274.6257.8–292.8 |
| 2071 | 312.6285–336.5 | 276.2255.2–294.1 |
| 2072 | 317287.7–334.6 | 277256.8–291.4 |
| 2073 | 316.2291.2–337.1 | 278.5262.7–293.4 |
| 2074 | 311.6284.5–334.9 | 277.6259.2–295.8 |
| 2075 | 312.3279.3–335.2 | 276.4258.7–294.4 |
| 2076 | 315.9288.7–337.1 | 279.2258.5–296.6 |
| 2077 | 318.5292.6–338.2 | 280264.9–294.7 |
| 2078 | 315287.3–337.1 | 278.4258.6–295.5 |
| 2079 | 314.8286.3–336 | 279.3263.4–293.6 |
| 2080 | 318.5286.8–337.8 | 280261.4–296.5 |
| 2081 | 318.4287.8–336.7 | 280.4261.2–297.9 |
| 2082 | 318.7289.8–336.5 | 280.9258.9–296 |
| 2083 | 317.4290.6–340.9 | 278.4261.6–295 |
| 2084 | 321.6293.8–339.8 | 279257.4–293.8 |
| 2085 | 324.4294.3–341.4 | 281.3265–297.8 |
| 2086 | 319290.7–340.7 | 282.3260.2–297.5 |
| 2087 | 318.3291.9–339.6 | 281.9261.3–300.7 |
| 2088 | 320.9292.9–340 | 283.1265.7–301.5 |
| 2089 | 322.1293.9–339.8 | 280.8261.2–301.6 |
| 2090 | 320.4295.5–341.7 | 280.5264.5–297.6 |
| 2091 | 325.4294.3–343.3 | 283.3264.3–298.9 |
| 2092 | 321.5294.4–342.4 | 281.1261.5–299.4 |
| 2093 | 323.1297.8–341.2 | 280.5263.4–296.1 |
| 2094 | 323.1296.5–341.1 | 283264.5–300 |
| 2095 | 325.6299.1–343.7 | 285.5264.5–302.9 |
| 2096 | 321.8296.2–344.1 | 281.8264.8–299.8 |
| 2097 | 321.5292.6–342 | 281.5263.3–299 |
| 2098 | 324.2295.1–342.8 | 282.5263.9–301.5 |
| 2099 | 322.8293.7–344.6 | 282.7265.1–298 |
| 2100 | 324.1292.1–344.1 | 282.7261–298.2 |
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须知
- 一年中气温始终高于 20 °C 的夜晚数,取全国平均。
- 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
- 虚线为CMIP6 模型中位数(SSP2-4.5,中间路径),是一种情景而非预报;阴影带为其模型第 10–90 百分位。
- 气候模型值为 CMIP6 各模型的中位数:2014 年及以前按历史排放模拟,此后按中间路径 SSP2-4.5 模拟;它们并非实测数据。
各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据
刚果(金)与越南对比
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军用
- 军费开支刚果(金):2025 年为 GDP 的 1.38%越南:2025 年为 GDP 的 2.15%
- 军费开支(美元)刚果(金):2025 年为 US$10.8亿越南:2025 年为 US$109亿
- 人均军费开支刚果(金):2025 年为 US$11越南:2025 年为 US$104
- 军费占政府支出比例刚果(金):2025 年为 8.1%(占政府支出)越南:2025 年为 9.9%(占政府支出)
- 武装部队人员刚果(金):2020 年为 134,000 人越南:2020 年为 522,000 人
- 国家实力刚果(金):2022 年为 0.59%(占全球实力)越南:2022 年为 1.11%(占全球实力)
- 武装部队占劳动力比例刚果(金):2020 年为 0.41%(占劳动力)越南:2020 年为 0.95%(占劳动力)
- 武器进口刚果(金):2025 年为 4400万 TIV越南:2025 年为 1.77亿 TIV
- 武器出口刚果(金):1997 年为 2200万 TIV越南:2018 年为 1000万 TIV