卢旺达与南苏丹对比
卢旺达与南苏丹:热带夜
2014 年热带夜:卢旺达为 2.4 夜,南苏丹为 343.7 夜(CMIP6 气候模型中位数模拟)。 2014 年南苏丹的数值较高,高出 341.3 夜,是卢旺达的 150 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,南苏丹的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年卢旺达为 34.2 夜,南苏丹为 361.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 卢旺达 | 南苏丹 |
|---|---|---|
| 2014 | 2.4 | 343.7 |
| 2013 | 2.8 | 342.1 |
| 2012 | 2.9 | 342.8 |
| 2011 | 2.7 | 343.3 |
| 2010 | 2.3 | 341.9 |
| 2009 | 2.5 | 338.8 |
| 2008 | 2 | 339.8 |
| 2007 | 1.9 | 336.9 |
| 2006 | 2.2 | 339 |
| 2005 | 2 | 336.8 |
| 2004 | 1.8 | 336.6 |
| 2003 | 1.8 | 338.9 |
| 2002 | 2.4 | 336.6 |
| 2001 | 2.4 | 338.7 |
| 2000 | 1.7 | 334.6 |
| 1999 | 1.6 | 331.8 |
| 1998 | 1.5 | 333.6 |
| 1997 | 1 | 334.5 |
| 1996 | 1.1 | 330.7 |
| 1995 | 1.1 | 329.6 |
| 1994 | 1.2 | 328.2 |
| 1993 | 0.9 | 321.9 |
| 1992 | 0.6 | 321.5 |
| 1991 | 1.2 | 329.1 |
| 1990 | 1.7 | 332.6 |
| 1989 | 1.5 | 329 |
| 1988 | 1.2 | 330.5 |
| 1987 | 1.3 | 328.8 |
| 1986 | 1.2 | 330.4 |
| 1985 | 0.8 | 327.1 |
| 1984 | 1 | 324.1 |
| 1983 | 0.9 | 322.8 |
| 1982 | 0.8 | 322.8 |
| 1981 | 1.1 | 329.9 |
| 1980 | 1.1 | 326.5 |
| 1979 | 0.9 | 325.3 |
| 1978 | 0.7 | 324.1 |
| 1977 | 1.1 | 325 |
| 1976 | 0.8 | 322.6 |
| 1975 | 1 | 320.8 |
| 1974 | 0.9 | 320.1 |
| 1973 | 1.3 | 325.4 |
| 1972 | 0.7 | 324.7 |
| 1971 | 0.7 | 319.9 |
| 1970 | 0.6 | 322.3 |
| 1969 | 0.8 | 318.5 |
| 1968 | 0.8 | 318.3 |
| 1967 | 0.5 | 315.6 |
| 1966 | 0.6 | 317.2 |
| 1965 | 0.6 | 316.5 |
| 1964 | 0.4 | 312.9 |
| 1963 | 0.6 | 309.8 |
| 1962 | 0.9 | 323.9 |
| 1961 | 0.8 | 323.3 |
| 1960 | 1.1 | 324.8 |
| 1959 | 0.7 | 321.5 |
| 1958 | 0.9 | 320.2 |
| 1957 | 0.8 | 322.1 |
| 1956 | 0.7 | 319.5 |
| 1955 | 0.8 | 317 |
| 1954 | 0.9 | 322.4 |
| 1953 | 0.8 | 321.6 |
| 1952 | 0.8 | 322.4 |
| 1951 | 1 | 323.9 |
| 1950 | 0.9 | 318.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 卢旺达 | 南苏丹 |
|---|---|---|
| 2015 | 3.41.5–7.6 | 342.7327.5–353.3 |
| 2016 | 2.91.2–5.6 | 342.1325.1–351.1 |
| 2017 | 3.41.8–5.5 | 344.5326.9–353.7 |
| 2018 | 3.81.8–7.1 | 344.1324.9–353.7 |
| 2019 | 3.61.3–6.9 | 344.5324–354.2 |
| 2020 | 4.32.1–7.9 | 344.9326.9–355.6 |
| 2021 | 4.22.6–7.5 | 347.3329.2–355.3 |
| 2022 | 42.9–7.8 | 344.5326.1–355.5 |
| 2023 | 4.41.9–8.4 | 347.2329.2–357 |
| 2024 | 52–9.6 | 350.4331.6–357.9 |
| 2025 | 4.42.1–9.5 | 347.1330.2–357.7 |
| 2026 | 4.81.7–8.9 | 347.6329.5–356.7 |
| 2027 | 4.92.1–8.7 | 346327.1–356.1 |
| 2028 | 5.21.7–8.7 | 349.4333.5–357.3 |
| 2029 | 5.43–9.2 | 348.6337.5–355.6 |
| 2030 | 5.33.1–10.2 | 349.3335.5–357.2 |
| 2031 | 6.63.4–10.4 | 351.3336.3–357.6 |
| 2032 | 6.34–12.2 | 348.6333.6–357.7 |
| 2033 | 6.52.8–12 | 350.8336.7–359.4 |
| 2034 | 6.13.3–12.4 | 350.2337.5–358.3 |
| 2035 | 6.83.2–12.7 | 352.3331–359.5 |
| 2036 | 6.83.7–12.7 | 352340.8–359.1 |
| 2037 | 7.94.3–14.6 | 351.9337.4–359.5 |
| 2038 | 8.44.1–15.3 | 354.3341.9–359.6 |
| 2039 | 7.23.6–15.9 | 353.8340.6–360 |
| 2040 | 7.74.3–14.8 | 353.5338.7–360.2 |
| 2041 | 8.44.7–15 | 353.2336.9–360.2 |
| 2042 | 8.44.4–20.2 | 351.9336.9–360.3 |
| 2043 | 7.83.8–16.5 | 353.2336.2–359.5 |
| 2044 | 7.24.1–14.5 | 353.7339.9–361.1 |
| 2045 | 9.24.6–21 | 353.7342.2–360.6 |
| 2046 | 124.6–24.1 | 355.4342.2–361 |
| 2047 | 11.25.4–26 | 355.7344–361.2 |
| 2048 | 11.74.6–25.4 | 354.7342.5–361.6 |
| 2049 | 12.25.7–26.7 | 356.7346.4–361.1 |
| 2050 | 11.75.4–22.9 | 356.8345.6–361.7 |
| 2051 | 12.36.4–24 | 356345.4–361.8 |
| 2052 | 14.56–26.1 | 355.3343.8–362.2 |
| 2053 | 12.55–23.9 | 355.5343.4–361.7 |
| 2054 | 12.85.6–34.3 | 356.9345.2–362.1 |
| 2055 | 12.66.2–32.8 | 356.9345–361.7 |
| 2056 | 145.6–31.6 | 356.7345.7–363.1 |
| 2057 | 14.96–32.3 | 358.4349.2–362.6 |
| 2058 | 15.15.3–38.7 | 357.7345–361.8 |
| 2059 | 14.96.7–38.1 | 358.6348.4–362.6 |
| 2060 | 18.46.1–38.2 | 357.7344.7–363.8 |
| 2061 | 16.65.9–40.7 | 358.2345.8–362.7 |
| 2062 | 17.25.6–49.3 | 357.4345.2–363.1 |
| 2063 | 16.46.3–39.1 | 358.8347.3–362.6 |
| 2064 | 21.76.3–40.1 | 358.9348.4–363.3 |
| 2065 | 17.17.2–40.5 | 359.1351.1–362.9 |
| 2066 | 18.37.2–42.5 | 359.2350.6–363.1 |
| 2067 | 16.86.3–50.2 | 358.6347.6–363.3 |
| 2068 | 19.76.6–53.2 | 359.9350.3–364.4 |
| 2069 | 17.66–55 | 357.6347–363.1 |
| 2070 | 18.17.6–53.8 | 359.5350.4–363 |
| 2071 | 19.36.3–60 | 359.6350.5–363.2 |
| 2072 | 22.18.7–49.3 | 360.2348.4–364.2 |
| 2073 | 24.39.2–61.7 | 359.3350.3–363.5 |
| 2074 | 23.28.3–57.2 | 359.5348–363.3 |
| 2075 | 21.86.3–53.9 | 359.9348.5–363.4 |
| 2076 | 26.77–59.7 | 359.4350.5–364 |
| 2077 | 24.19.1–64.8 | 359.9352.2–363.7 |
| 2078 | 21.48.3–62.1 | 360351.2–363.4 |
| 2079 | 26.47.8–64.8 | 359.8350.9–363.3 |
| 2080 | 28.78.2–62.2 | 361.3349.8–364.6 |
| 2081 | 25.79–66.4 | 360.4350.5–363.9 |
| 2082 | 27.59.2–63.2 | 360.3351–363.3 |
| 2083 | 31.68.7–87 | 360351.1–363.8 |
| 2084 | 31.39.4–78.4 | 360.8350.8–364.9 |
| 2085 | 35.29.2–79.6 | 361352.3–363.7 |
| 2086 | 299.7–76.5 | 360.4352.5–364.1 |
| 2087 | 30.69.5–80 | 359.7347.8–363.8 |
| 2088 | 32.59.4–76.8 | 360.3352.2–364.7 |
| 2089 | 27.49.3–82.1 | 360.2352.3–363.8 |
| 2090 | 25.911.4–96.6 | 360.2351.3–363.9 |
| 2091 | 43.28.7–89.1 | 360.9351.6–364.1 |
| 2092 | 33.910.5–89.6 | 360.7352.4–364.7 |
| 2093 | 35.510.9–91 | 361.6354.1–363.9 |
| 2094 | 34.79.4–91.6 | 361.3353.8–364.3 |
| 2095 | 40.412.9–106.1 | 361.5353.2–364 |
| 2096 | 35.99.8–99.9 | 361.1352.8–365.1 |
| 2097 | 32.69.9–89.6 | 360.7351.9–364.2 |
| 2098 | 35.69.8–105.9 | 361.5352.6–364.1 |
| 2099 | 32.810.9–105.8 | 361.2352.4–364.1 |
| 2100 | 34.211.1–102.5 | 361.1352.6–364.2 |
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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
卢旺达与南苏丹对比
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军用
- 军费开支卢旺达:2025 年为 GDP 的 1.29%南苏丹:2025 年为 GDP 的 3.43%
- 军费开支(美元)卢旺达:2025 年为 US$1.94亿南苏丹:2025 年为 US$1.03亿
- 人均军费开支卢旺达:2025 年为 US$13南苏丹:2025 年为 US$15
- 军费占政府支出比例卢旺达:2025 年为 4.7%(占政府支出)南苏丹:2025 年为 18.4%(占政府支出)
- 武装部队人员卢旺达:2020 年为 35,000 人南苏丹:2020 年为 53,000 人
- 国家实力卢旺达:2022 年为 0.07%(占全球实力)南苏丹:2022 年为 0.08%(占全球实力)
- 武装部队占劳动力比例卢旺达:2020 年为 0.7%(占劳动力)南苏丹:2020 年为 1.18%(占劳动力)
- 武器进口卢旺达:2023 年为 3700万 TIV南苏丹:2022 年为 1000万 TIV