安哥拉与布隆迪对比
安哥拉与布隆迪:热带夜
2014 年热带夜:安哥拉为 61.1 夜,布隆迪为 28.5 夜(CMIP6 气候模型中位数模拟)。 2014 年安哥拉的数值较高,高出 32.5 夜,是布隆迪的 2.14 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,安哥拉的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 173.4 夜,布隆迪为 67.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 安哥拉 | 布隆迪 |
|---|---|---|
| 2014 | 61.1 | 28.5 |
| 2013 | 62.3 | 28.4 |
| 2012 | 63.6 | 28.8 |
| 2011 | 59.9 | 28.9 |
| 2010 | 58.9 | 27.9 |
| 2009 | 56.9 | 27.9 |
| 2008 | 54.5 | 27.8 |
| 2007 | 54.6 | 27.6 |
| 2006 | 54 | 27.7 |
| 2005 | 53.8 | 27.5 |
| 2004 | 55.8 | 27.6 |
| 2003 | 55.3 | 27.6 |
| 2002 | 53.2 | 27.6 |
| 2001 | 55 | 27.7 |
| 2000 | 51.4 | 27.3 |
| 1999 | 48.1 | 27.1 |
| 1998 | 50.5 | 27.1 |
| 1997 | 47.9 | 27.2 |
| 1996 | 43.2 | 26.9 |
| 1995 | 43 | 26.8 |
| 1994 | 41.6 | 26.5 |
| 1993 | 35.9 | 26.2 |
| 1992 | 35.3 | 26.1 |
| 1991 | 45.5 | 27 |
| 1990 | 46.7 | 26.8 |
| 1989 | 43.8 | 26.7 |
| 1988 | 42.7 | 26.6 |
| 1987 | 42.7 | 26.6 |
| 1986 | 42.7 | 26.7 |
| 1985 | 39.3 | 26.3 |
| 1984 | 38.2 | 26.4 |
| 1983 | 37.8 | 26.4 |
| 1982 | 40.8 | 26.5 |
| 1981 | 42 | 26.8 |
| 1980 | 39.9 | 26.4 |
| 1979 | 39.1 | 26.6 |
| 1978 | 38.6 | 26.3 |
| 1977 | 38.6 | 26.5 |
| 1976 | 36.8 | 26.4 |
| 1975 | 38.1 | 26.3 |
| 1974 | 37.4 | 26.3 |
| 1973 | 38.7 | 26.3 |
| 1972 | 36.6 | 26.2 |
| 1971 | 36 | 26.1 |
| 1970 | 36.6 | 26.1 |
| 1969 | 36.5 | 26.1 |
| 1968 | 34.5 | 26 |
| 1967 | 32.4 | 25.8 |
| 1966 | 34.3 | 25.9 |
| 1965 | 34.2 | 26.1 |
| 1964 | 31.5 | 25.7 |
| 1963 | 30.5 | 25.7 |
| 1962 | 37.6 | 26.2 |
| 1961 | 37.3 | 26.4 |
| 1960 | 38.7 | 26.5 |
| 1959 | 38 | 26.2 |
| 1958 | 37.3 | 26.2 |
| 1957 | 38 | 26.1 |
| 1956 | 35.1 | 26.1 |
| 1955 | 37.5 | 26.2 |
| 1954 | 36.5 | 26.2 |
| 1953 | 36.2 | 26.3 |
| 1952 | 37.3 | 26.2 |
| 1951 | 37.4 | 26.2 |
| 1950 | 36.5 | 26.2 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 安哥拉 | 布隆迪 |
|---|---|---|
| 2015 | 67.946.7–89.4 | 29.627–36 |
| 2016 | 63.143.9–82.7 | 28.826.7–32.5 |
| 2017 | 68.248.7–87.9 | 3027–33.7 |
| 2018 | 69.250.6–90.9 | 30.327.4–34.4 |
| 2019 | 69.547.5–97.7 | 29.727.4–33.7 |
| 2020 | 7351.1–97.1 | 30.927.7–37.7 |
| 2021 | 75.654.9–97.2 | 30.627.8–37 |
| 2022 | 78.758–105.7 | 30.828.5–36.7 |
| 2023 | 78.357.5–103.3 | 30.528–36.7 |
| 2024 | 83.457.6–108.1 | 32.127.9–39 |
| 2025 | 79.154–111.7 | 31.527.1–38.7 |
| 2026 | 82.455.4–117.5 | 31.927.4–38.3 |
| 2027 | 84.157.6–115.3 | 31.427.9–37.9 |
| 2028 | 85.862.6–117.4 | 32.328.4–37.9 |
| 2029 | 9165.8–120 | 33.229–38.9 |
| 2030 | 87.661.6–119.2 | 32.728.1–39.9 |
| 2031 | 92.363.9–122.5 | 33.930–40.9 |
| 2032 | 9566.1–124.5 | 33.829.9–43.1 |
| 2033 | 92.766.8–125 | 34.129.6–43.1 |
| 2034 | 91.466.7–131.8 | 33.829.8–45.5 |
| 2035 | 96.364.7–131.8 | 35.228.9–43.2 |
| 2036 | 95.964.2–129 | 34.729.5–45.8 |
| 2037 | 103.870.4–136.7 | 36.830.3–48.2 |
| 2038 | 105.376.7–136.8 | 37.631.9–45.5 |
| 2039 | 99.367–137.4 | 36.929.5–47.7 |
| 2040 | 100.569.2–143.1 | 3630.7–49.3 |
| 2041 | 109.975.5–145.2 | 37.531.7–47.9 |
| 2042 | 10775.4–153.1 | 3731.3–53.9 |
| 2043 | 102.572.6–148.6 | 36.829.7–48.4 |
| 2044 | 106.872.1–147.2 | 37.429.9–48.5 |
| 2045 | 107.276.5–148.5 | 3932–53.6 |
| 2046 | 119.383.6–159.4 | 42.631.9–57.3 |
| 2047 | 123.483.9–157.3 | 41.632.9–56.2 |
| 2048 | 121.483.1–161.4 | 43.232.5–57.9 |
| 2049 | 122.883.6–165.9 | 42.333.1–56.8 |
| 2050 | 124.786.1–168.1 | 43.331.4–55.8 |
| 2051 | 122.389.3–169.4 | 42.833–60 |
| 2052 | 127.289.2–173.9 | 44.333.2–62.1 |
| 2053 | 124.885.7–169.4 | 42.432.4–59.4 |
| 2054 | 129.386.8–169.7 | 44.532.8–68.5 |
| 2055 | 127.194.6–174.1 | 44.234.5–64.8 |
| 2056 | 130.688.2–184.1 | 44.132.4–63.2 |
| 2057 | 137.790.4–179.2 | 45.534.3–65.8 |
| 2058 | 134.592.1–179.4 | 48.132.4–69.9 |
| 2059 | 136.698.3–189.8 | 47.736.2–69.1 |
| 2060 | 145.896.6–186.9 | 49.734.6–73 |
| 2061 | 136.989.6–192.5 | 50.833.4–71.8 |
| 2062 | 140.689.9–190 | 49.534.2–78.1 |
| 2063 | 142.592.2–189.4 | 48.434.2–67.7 |
| 2064 | 142.295.4–186.9 | 52.134.6–70.5 |
| 2065 | 144.2101–193.2 | 50.835.2–72.2 |
| 2066 | 144.2100.5–193.3 | 51.336.5–72.8 |
| 2067 | 142.496.2–194.4 | 52.334.3–81.3 |
| 2068 | 150.1103.4–196.7 | 51.335.2–81.5 |
| 2069 | 145.898.5–197.6 | 50.134–76 |
| 2070 | 143.196.6–202.5 | 50.835.4–83.9 |
| 2071 | 151.7103.6–205.4 | 51.235.5–90.8 |
| 2072 | 158.8110.5–197.3 | 53.338.9–80 |
| 2073 | 159.8114–208.3 | 56.538.6–89 |
| 2074 | 151.1103.1–205.9 | 53.736.7–82.1 |
| 2075 | 148.7100.3–201.6 | 53.435–83 |
| 2076 | 157.3106.3–204.8 | 58.636.5–90.7 |
| 2077 | 161.8115.3–206.2 | 55.738.4–95.2 |
| 2078 | 158.1114–211.5 | 55.938.6–89.1 |
| 2079 | 158.3109.9–212.9 | 60.637.3–91.2 |
| 2080 | 162.8109.6–212.5 | 61.638–89.4 |
| 2081 | 161.1112.7–207.9 | 59.339.3–91.1 |
| 2082 | 161.2114.4–207.5 | 61.139–95 |
| 2083 | 159.9106–216.6 | 58.238.4–111.2 |
| 2084 | 169.2117.7–215.2 | 65.239.6–104.5 |
| 2085 | 175118.5–226 | 67.340.2–110.3 |
| 2086 | 160.3115.4–221.3 | 61.340.8–104.5 |
| 2087 | 162.4118.5–223.3 | 65.240.1–107.8 |
| 2088 | 169.9116–218.4 | 66.340.9–101.4 |
| 2089 | 166.9119.1–220 | 61.240.2–100.9 |
| 2090 | 165.8119.6–223.4 | 59.540.9–115.5 |
| 2091 | 175.2120.2–229.1 | 71.541.2–115.8 |
| 2092 | 172.5119.9–228.5 | 64.742.1–120.7 |
| 2093 | 169.9116.3–228.6 | 67.341.4–113.8 |
| 2094 | 172.3118.2–221 | 67.342.1–115.2 |
| 2095 | 179122.5–229.5 | 72.544.4–126.1 |
| 2096 | 170.5117.6–228.9 | 65.841.2–122.9 |
| 2097 | 169.6116.1–222.1 | 63.939.5–121.8 |
| 2098 | 174.6115.2–234.3 | 68.640.3–128.1 |
| 2099 | 170.7118.3–232.7 | 63.440.9–122.9 |
| 2100 | 173.4123.5–231 | 67.441.2–126.5 |
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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
安哥拉与布隆迪对比
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军用
- 军费开支安哥拉:2025 年为 GDP 的 1.4%布隆迪:2025 年为 GDP 的 3.24%
- 军费开支(美元)安哥拉:2025 年为 US$12.6亿布隆迪:2025 年为 US$1.69亿
- 人均军费开支安哥拉:2025 年为 US$38布隆迪:2025 年为 US$16
- 军费占政府支出比例安哥拉:2025 年为 5.9%(占政府支出)布隆迪:2025 年为 14.9%(占政府支出)
- 武装部队人员安哥拉:2020 年为 117,000 人布隆迪:2020 年为 31,000 人
- 国家实力安哥拉:2022 年为 0.29%(占全球实力)布隆迪:2022 年为 0.06%(占全球实力)
- 武装部队占劳动力比例安哥拉:2020 年为 0.87%(占劳动力)布隆迪:2020 年为 0.59%(占劳动力)
- 武器进口安哥拉:2025 年为 8400万 TIV布隆迪:2019 年为 200万 TIV