柬埔寨与越南对比
柬埔寨与越南:热带夜
2014 年热带夜:柬埔寨为 337.4 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年柬埔寨的数值较高,高出 94.8 夜,是越南的 1.39 倍。
每年夜数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,柬埔寨的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年柬埔寨为 357.6 夜,越南为 282.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 柬埔寨 | 越南 |
|---|---|---|
| 2014 | 337.4 | 242.6 |
| 2013 | 342.5 | 243.6 |
| 2012 | 340.1 | 242.4 |
| 2011 | 338.3 | 241.9 |
| 2010 | 338.2 | 240.9 |
| 2009 | 339.2 | 240 |
| 2008 | 334.9 | 238.7 |
| 2007 | 336.1 | 238 |
| 2006 | 336 | 239.1 |
| 2005 | 334 | 238.3 |
| 2004 | 338.1 | 241.8 |
| 2003 | 332.9 | 235.9 |
| 2002 | 333.3 | 236.3 |
| 2001 | 337.1 | 241.3 |
| 2000 | 335.9 | 237 |
| 1999 | 335.1 | 236 |
| 1998 | 334.8 | 236.8 |
| 1997 | 336.8 | 237.1 |
| 1996 | 330.5 | 231.4 |
| 1995 | 328.7 | 229.9 |
| 1994 | 334.3 | 231.2 |
| 1993 | 329.9 | 225.3 |
| 1992 | 321.5 | 221.9 |
| 1991 | 328.1 | 229.8 |
| 1990 | 333.3 | 233.1 |
| 1989 | 330.3 | 229.2 |
| 1988 | 332 | 231.7 |
| 1987 | 329.7 | 230.3 |
| 1986 | 330.9 | 230.9 |
| 1985 | 330.8 | 228 |
| 1984 | 331.2 | 230.2 |
| 1983 | 328.7 | 224.9 |
| 1982 | 329.3 | 227.5 |
| 1981 | 331.2 | 229.7 |
| 1980 | 329.9 | 228.1 |
| 1979 | 330.4 | 228.9 |
| 1978 | 327.5 | 227.5 |
| 1977 | 331.6 | 229 |
| 1976 | 329.2 | 225.8 |
| 1975 | 328.1 | 225.8 |
| 1974 | 326.8 | 225.7 |
| 1973 | 331.2 | 230.3 |
| 1972 | 327.1 | 225.6 |
| 1971 | 327.4 | 225.5 |
| 1970 | 327.9 | 226.1 |
| 1969 | 327.4 | 227 |
| 1968 | 327.6 | 227.1 |
| 1967 | 323.9 | 222.9 |
| 1966 | 326.4 | 226.8 |
| 1965 | 329.8 | 225.4 |
| 1964 | 327.1 | 222.6 |
| 1963 | 328.6 | 224.3 |
| 1962 | 326.2 | 227.8 |
| 1961 | 332.3 | 229.4 |
| 1960 | 329 | 228.5 |
| 1959 | 328.5 | 226.2 |
| 1958 | 332.7 | 230.9 |
| 1957 | 331.1 | 228.4 |
| 1956 | 330 | 228.7 |
| 1955 | 326.8 | 227.5 |
| 1954 | 329 | 226.3 |
| 1953 | 329.6 | 228.2 |
| 1952 | 329.2 | 228.5 |
| 1951 | 330.9 | 229.2 |
| 1950 | 328.6 | 228.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 柬埔寨 | 越南 |
|---|---|---|
| 2015 | 340323.1–351.2 | 245.8228.2–261.9 |
| 2016 | 339.6325.3–352.5 | 243.7226.1–259.4 |
| 2017 | 341.9327.4–350.7 | 247229.6–260.7 |
| 2018 | 343.5320.1–353.1 | 248.3228.8–263.3 |
| 2019 | 340.8327.2–352.1 | 248.1229.2–262.8 |
| 2020 | 343325.7–352.6 | 248.8229.6–262.9 |
| 2021 | 345.2328.4–353 | 251.1233.1–266.7 |
| 2022 | 344.4332.5–353.4 | 252.4234.3–266.8 |
| 2023 | 344.7333.7–355.1 | 253.4235.4–266.6 |
| 2024 | 342.1327.5–352.9 | 251.3236.7–264.6 |
| 2025 | 343.4332.6–351 | 252.4234.1–266.2 |
| 2026 | 343.9324.7–353.4 | 252.8232.9–268.5 |
| 2027 | 345.3330.6–354.2 | 253.2237–268.8 |
| 2028 | 346.5331–356.9 | 254.3237.7–272 |
| 2029 | 346.5330.1–357.3 | 258.1238.5–273.7 |
| 2030 | 346.7332.4–355.4 | 256.4240.9–270.1 |
| 2031 | 347.7332.3–356.7 | 255.9241.2–270.9 |
| 2032 | 347.5332.3–354.7 | 257.4239.1–269.9 |
| 2033 | 346.5331.7–358.1 | 258.3241.7–273.2 |
| 2034 | 348.1335.3–357 | 258.8240.7–275.8 |
| 2035 | 347.7330.1–357.7 | 258.6242.5–275.4 |
| 2036 | 348.2329.7–355.8 | 258.3239.1–273.8 |
| 2037 | 347.4334.6–355.4 | 258.7242.4–272.4 |
| 2038 | 348.9335.4–357.3 | 263.4247.6–277.3 |
| 2039 | 349.3335.7–358.3 | 260.2243.7–275.9 |
| 2040 | 348.9339.2–356.6 | 260.1242.8–274.8 |
| 2041 | 349.9337.3–358.1 | 263.1245.9–279 |
| 2042 | 348.1336.5–357.9 | 263.6246.5–279 |
| 2043 | 348.4336.5–357.3 | 261.4245.5–279.6 |
| 2044 | 348.6337.6–357.8 | 263.2245.2–277.6 |
| 2045 | 349.4335.2–360.2 | 265.5249.6–281.4 |
| 2046 | 351.3337.9–359.4 | 264.9246.8–278.1 |
| 2047 | 352.1341.4–359.4 | 266.9250.4–282.9 |
| 2048 | 351.1338.7–360.6 | 268250.5–283.8 |
| 2049 | 352.5339.7–360 | 267.8251.2–284.8 |
| 2050 | 352.6340.1–359.7 | 268251.2–283.5 |
| 2051 | 354.4343.2–360.9 | 270.9254.3–285.4 |
| 2052 | 353.3343.5–359.5 | 268.3253.3–282.8 |
| 2053 | 351.8340.5–358.9 | 268.5250.1–283.2 |
| 2054 | 352343.5–359.3 | 269.1250.8–283.6 |
| 2055 | 352.8339.5–359.2 | 270249.8–284.2 |
| 2056 | 353.4339.8–360.9 | 271.7254.8–290.1 |
| 2057 | 352.1338.8–359.4 | 270253–285.7 |
| 2058 | 353.3343–360.6 | 270.7252.9–286.5 |
| 2059 | 355341.5–359.7 | 273257.6–286.6 |
| 2060 | 354344.1–362 | 275.7255.6–290.6 |
| 2061 | 355338.3–361 | 273.5254.6–289.5 |
| 2062 | 352.2341.4–361 | 271.4253.1–290.2 |
| 2063 | 356344–360.6 | 272.9252.7–288.1 |
| 2064 | 354.4341.4–361.7 | 273.8254.4–288.1 |
| 2065 | 352.7343.4–359.8 | 272255.8–286.3 |
| 2066 | 353.7341.8–360.2 | 271.8254.4–287.3 |
| 2067 | 352.9341.2–360.3 | 270.8252.1–287.6 |
| 2068 | 354.6343.6–361.1 | 275.6256.9–292.4 |
| 2069 | 355.6344.7–361.2 | 276.4258.5–292 |
| 2070 | 355343.5–361.4 | 274.6257.8–292.8 |
| 2071 | 356346.1–361.1 | 276.2255.2–294.1 |
| 2072 | 356.6345.8–361.5 | 277256.8–291.4 |
| 2073 | 357.1347.3–362 | 278.5262.7–293.4 |
| 2074 | 356.1341.9–362.3 | 277.6259.2–295.8 |
| 2075 | 354.9340.7–361.9 | 276.4258.7–294.4 |
| 2076 | 357.6347.1–362.9 | 279.2258.5–296.6 |
| 2077 | 356.7345.6–362.3 | 280264.9–294.7 |
| 2078 | 355345.5–361.7 | 278.4258.6–295.5 |
| 2079 | 356.5347.1–361.5 | 279.3263.4–293.6 |
| 2080 | 358347.4–363.9 | 280261.4–296.5 |
| 2081 | 355.8345.5–362.5 | 280.4261.2–297.9 |
| 2082 | 354.6345.1–360.9 | 280.9258.9–296 |
| 2083 | 355.2345.7–361.7 | 278.4261.6–295 |
| 2084 | 355.7343.4–361.6 | 279257.4–293.8 |
| 2085 | 358.4350–362.5 | 281.3265–297.8 |
| 2086 | 356.6345.5–361.8 | 282.3260.2–297.5 |
| 2087 | 357.5346.7–362.5 | 281.9261.3–300.7 |
| 2088 | 357347.6–362.4 | 283.1265.7–301.5 |
| 2089 | 357.2346.7–361.8 | 280.8261.2–301.6 |
| 2090 | 355.7347.6–362.1 | 280.5264.5–297.6 |
| 2091 | 357.8345.5–362.6 | 283.3264.3–298.9 |
| 2092 | 355.5343.9–362.3 | 281.1261.5–299.4 |
| 2093 | 355.6344.4–361.2 | 280.5263.4–296.1 |
| 2094 | 359.2347.3–362.9 | 283264.5–300 |
| 2095 | 358.6347.7–362.8 | 285.5264.5–302.9 |
| 2096 | 357.8348.4–363.2 | 281.8264.8–299.8 |
| 2097 | 356.8346.5–362.4 | 281.5263.3–299 |
| 2098 | 356.2346.9–362.6 | 282.5263.9–301.5 |
| 2099 | 356.8346.4–362.7 | 282.7265.1–298 |
| 2100 | 357.6347.9–363.1 | 282.7261–298.2 |
分别查看各国
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
柬埔寨与越南对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支柬埔寨:2025 年为 GDP 的 1.45%越南:2025 年为 GDP 的 2.15%
- 军费开支(美元)柬埔寨:2025 年为 US$7.16亿越南:2025 年为 US$109亿
- 人均军费开支柬埔寨:2025 年为 US$42越南:2025 年为 US$104
- 军费占政府支出比例柬埔寨:2025 年为 8.2%(占政府支出)越南:2025 年为 9.9%(占政府支出)
- 武装部队人员柬埔寨:2020 年为 191,000 人越南:2020 年为 522,000 人
- 国家实力柬埔寨:2022 年为 0.16%(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柬埔寨:2020 年为 2.02%(占劳动力)越南:2020 年为 0.95%(占劳动力)
- 武器进口柬埔寨:2023 年为 5600万 TIV越南:2025 年为 1.77亿 TIV
- 武器出口柬埔寨:2000 年为 100万 TIV越南:2018 年为 1000万 TIV