布隆迪与卢旺达对比
布隆迪与卢旺达:热带夜
2014 年热带夜:布隆迪为 28.5 夜,卢旺达为 2.4 夜(CMIP6 气候模型中位数模拟)。 2014 年布隆迪的数值较高,高出 26.2 夜,是卢旺达的 12 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,布隆迪的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年布隆迪为 67.4 夜,卢旺达为 34.2 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 布隆迪 | 卢旺达 |
|---|---|---|
| 2014 | 28.5 | 2.4 |
| 2013 | 28.4 | 2.8 |
| 2012 | 28.8 | 2.9 |
| 2011 | 28.9 | 2.7 |
| 2010 | 27.9 | 2.3 |
| 2009 | 27.9 | 2.5 |
| 2008 | 27.8 | 2 |
| 2007 | 27.6 | 1.9 |
| 2006 | 27.7 | 2.2 |
| 2005 | 27.5 | 2 |
| 2004 | 27.6 | 1.8 |
| 2003 | 27.6 | 1.8 |
| 2002 | 27.6 | 2.4 |
| 2001 | 27.7 | 2.4 |
| 2000 | 27.3 | 1.7 |
| 1999 | 27.1 | 1.6 |
| 1998 | 27.1 | 1.5 |
| 1997 | 27.2 | 1 |
| 1996 | 26.9 | 1.1 |
| 1995 | 26.8 | 1.1 |
| 1994 | 26.5 | 1.2 |
| 1993 | 26.2 | 0.9 |
| 1992 | 26.1 | 0.6 |
| 1991 | 27 | 1.2 |
| 1990 | 26.8 | 1.7 |
| 1989 | 26.7 | 1.5 |
| 1988 | 26.6 | 1.2 |
| 1987 | 26.6 | 1.3 |
| 1986 | 26.7 | 1.2 |
| 1985 | 26.3 | 0.8 |
| 1984 | 26.4 | 1 |
| 1983 | 26.4 | 0.9 |
| 1982 | 26.5 | 0.8 |
| 1981 | 26.8 | 1.1 |
| 1980 | 26.4 | 1.1 |
| 1979 | 26.6 | 0.9 |
| 1978 | 26.3 | 0.7 |
| 1977 | 26.5 | 1.1 |
| 1976 | 26.4 | 0.8 |
| 1975 | 26.3 | 1 |
| 1974 | 26.3 | 0.9 |
| 1973 | 26.3 | 1.3 |
| 1972 | 26.2 | 0.7 |
| 1971 | 26.1 | 0.7 |
| 1970 | 26.1 | 0.6 |
| 1969 | 26.1 | 0.8 |
| 1968 | 26 | 0.8 |
| 1967 | 25.8 | 0.5 |
| 1966 | 25.9 | 0.6 |
| 1965 | 26.1 | 0.6 |
| 1964 | 25.7 | 0.4 |
| 1963 | 25.7 | 0.6 |
| 1962 | 26.2 | 0.9 |
| 1961 | 26.4 | 0.8 |
| 1960 | 26.5 | 1.1 |
| 1959 | 26.2 | 0.7 |
| 1958 | 26.2 | 0.9 |
| 1957 | 26.1 | 0.8 |
| 1956 | 26.1 | 0.7 |
| 1955 | 26.2 | 0.8 |
| 1954 | 26.2 | 0.9 |
| 1953 | 26.3 | 0.8 |
| 1952 | 26.2 | 0.8 |
| 1951 | 26.2 | 1 |
| 1950 | 26.2 | 0.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 布隆迪 | 卢旺达 |
|---|---|---|
| 2015 | 29.627–36 | 3.41.5–7.6 |
| 2016 | 28.826.7–32.5 | 2.91.2–5.6 |
| 2017 | 3027–33.7 | 3.41.8–5.5 |
| 2018 | 30.327.4–34.4 | 3.81.8–7.1 |
| 2019 | 29.727.4–33.7 | 3.61.3–6.9 |
| 2020 | 30.927.7–37.7 | 4.32.1–7.9 |
| 2021 | 30.627.8–37 | 4.22.6–7.5 |
| 2022 | 30.828.5–36.7 | 42.9–7.8 |
| 2023 | 30.528–36.7 | 4.41.9–8.4 |
| 2024 | 32.127.9–39 | 52–9.6 |
| 2025 | 31.527.1–38.7 | 4.42.1–9.5 |
| 2026 | 31.927.4–38.3 | 4.81.7–8.9 |
| 2027 | 31.427.9–37.9 | 4.92.1–8.7 |
| 2028 | 32.328.4–37.9 | 5.21.7–8.7 |
| 2029 | 33.229–38.9 | 5.43–9.2 |
| 2030 | 32.728.1–39.9 | 5.33.1–10.2 |
| 2031 | 33.930–40.9 | 6.63.4–10.4 |
| 2032 | 33.829.9–43.1 | 6.34–12.2 |
| 2033 | 34.129.6–43.1 | 6.52.8–12 |
| 2034 | 33.829.8–45.5 | 6.13.3–12.4 |
| 2035 | 35.228.9–43.2 | 6.83.2–12.7 |
| 2036 | 34.729.5–45.8 | 6.83.7–12.7 |
| 2037 | 36.830.3–48.2 | 7.94.3–14.6 |
| 2038 | 37.631.9–45.5 | 8.44.1–15.3 |
| 2039 | 36.929.5–47.7 | 7.23.6–15.9 |
| 2040 | 3630.7–49.3 | 7.74.3–14.8 |
| 2041 | 37.531.7–47.9 | 8.44.7–15 |
| 2042 | 3731.3–53.9 | 8.44.4–20.2 |
| 2043 | 36.829.7–48.4 | 7.83.8–16.5 |
| 2044 | 37.429.9–48.5 | 7.24.1–14.5 |
| 2045 | 3932–53.6 | 9.24.6–21 |
| 2046 | 42.631.9–57.3 | 124.6–24.1 |
| 2047 | 41.632.9–56.2 | 11.25.4–26 |
| 2048 | 43.232.5–57.9 | 11.74.6–25.4 |
| 2049 | 42.333.1–56.8 | 12.25.7–26.7 |
| 2050 | 43.331.4–55.8 | 11.75.4–22.9 |
| 2051 | 42.833–60 | 12.36.4–24 |
| 2052 | 44.333.2–62.1 | 14.56–26.1 |
| 2053 | 42.432.4–59.4 | 12.55–23.9 |
| 2054 | 44.532.8–68.5 | 12.85.6–34.3 |
| 2055 | 44.234.5–64.8 | 12.66.2–32.8 |
| 2056 | 44.132.4–63.2 | 145.6–31.6 |
| 2057 | 45.534.3–65.8 | 14.96–32.3 |
| 2058 | 48.132.4–69.9 | 15.15.3–38.7 |
| 2059 | 47.736.2–69.1 | 14.96.7–38.1 |
| 2060 | 49.734.6–73 | 18.46.1–38.2 |
| 2061 | 50.833.4–71.8 | 16.65.9–40.7 |
| 2062 | 49.534.2–78.1 | 17.25.6–49.3 |
| 2063 | 48.434.2–67.7 | 16.46.3–39.1 |
| 2064 | 52.134.6–70.5 | 21.76.3–40.1 |
| 2065 | 50.835.2–72.2 | 17.17.2–40.5 |
| 2066 | 51.336.5–72.8 | 18.37.2–42.5 |
| 2067 | 52.334.3–81.3 | 16.86.3–50.2 |
| 2068 | 51.335.2–81.5 | 19.76.6–53.2 |
| 2069 | 50.134–76 | 17.66–55 |
| 2070 | 50.835.4–83.9 | 18.17.6–53.8 |
| 2071 | 51.235.5–90.8 | 19.36.3–60 |
| 2072 | 53.338.9–80 | 22.18.7–49.3 |
| 2073 | 56.538.6–89 | 24.39.2–61.7 |
| 2074 | 53.736.7–82.1 | 23.28.3–57.2 |
| 2075 | 53.435–83 | 21.86.3–53.9 |
| 2076 | 58.636.5–90.7 | 26.77–59.7 |
| 2077 | 55.738.4–95.2 | 24.19.1–64.8 |
| 2078 | 55.938.6–89.1 | 21.48.3–62.1 |
| 2079 | 60.637.3–91.2 | 26.47.8–64.8 |
| 2080 | 61.638–89.4 | 28.78.2–62.2 |
| 2081 | 59.339.3–91.1 | 25.79–66.4 |
| 2082 | 61.139–95 | 27.59.2–63.2 |
| 2083 | 58.238.4–111.2 | 31.68.7–87 |
| 2084 | 65.239.6–104.5 | 31.39.4–78.4 |
| 2085 | 67.340.2–110.3 | 35.29.2–79.6 |
| 2086 | 61.340.8–104.5 | 299.7–76.5 |
| 2087 | 65.240.1–107.8 | 30.69.5–80 |
| 2088 | 66.340.9–101.4 | 32.59.4–76.8 |
| 2089 | 61.240.2–100.9 | 27.49.3–82.1 |
| 2090 | 59.540.9–115.5 | 25.911.4–96.6 |
| 2091 | 71.541.2–115.8 | 43.28.7–89.1 |
| 2092 | 64.742.1–120.7 | 33.910.5–89.6 |
| 2093 | 67.341.4–113.8 | 35.510.9–91 |
| 2094 | 67.342.1–115.2 | 34.79.4–91.6 |
| 2095 | 72.544.4–126.1 | 40.412.9–106.1 |
| 2096 | 65.841.2–122.9 | 35.99.8–99.9 |
| 2097 | 63.939.5–121.8 | 32.69.9–89.6 |
| 2098 | 68.640.3–128.1 | 35.69.8–105.9 |
| 2099 | 63.440.9–122.9 | 32.810.9–105.8 |
| 2100 | 67.441.2–126.5 | 34.211.1–102.5 |
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
布隆迪与卢旺达对比
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军用
- 军费开支布隆迪:2025 年为 GDP 的 3.24%卢旺达:2025 年为 GDP 的 1.29%
- 军费开支(美元)布隆迪:2025 年为 US$1.69亿卢旺达:2025 年为 US$1.94亿
- 人均军费开支布隆迪:2025 年为 US$16卢旺达:2025 年为 US$13
- 军费占政府支出比例布隆迪:2025 年为 14.9%(占政府支出)卢旺达:2025 年为 4.7%(占政府支出)
- 武装部队人员布隆迪:2020 年为 31,000 人卢旺达:2020 年为 35,000 人
- 国家实力布隆迪:2022 年为 0.06%(占全球实力)卢旺达:2022 年为 0.07%(占全球实力)
- 武装部队占劳动力比例布隆迪:2020 年为 0.59%(占劳动力)卢旺达:2020 年为 0.7%(占劳动力)
- 武器进口布隆迪:2019 年为 200万 TIV卢旺达:2023 年为 3700万 TIV