卢旺达与坦桑尼亚对比
卢旺达与坦桑尼亚:热带夜
2014 年热带夜:卢旺达为 2.4 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年坦桑尼亚的数值较高,高出 103.9 夜,是卢旺达的 45 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,坦桑尼亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年卢旺达为 34.2 夜,坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 卢旺达 | 坦桑尼亚 |
|---|---|---|
| 2014 | 2.4 | 106.3 |
| 2013 | 2.8 | 105.5 |
| 2012 | 2.9 | 108.4 |
| 2011 | 2.7 | 109 |
| 2010 | 2.3 | 103.9 |
| 2009 | 2.5 | 101.1 |
| 2008 | 2 | 100.3 |
| 2007 | 1.9 | 99.5 |
| 2006 | 2.2 | 100.4 |
| 2005 | 2 | 98.7 |
| 2004 | 1.8 | 100.4 |
| 2003 | 1.8 | 99.6 |
| 2002 | 2.4 | 98.4 |
| 2001 | 2.4 | 101.5 |
| 2000 | 1.7 | 94.9 |
| 1999 | 1.6 | 94.2 |
| 1998 | 1.5 | 96.8 |
| 1997 | 1 | 93.5 |
| 1996 | 1.1 | 89.6 |
| 1995 | 1.1 | 88.5 |
| 1994 | 1.2 | 85.4 |
| 1993 | 0.9 | 81.2 |
| 1992 | 0.6 | 80.1 |
| 1991 | 1.2 | 89.6 |
| 1990 | 1.7 | 91.1 |
| 1989 | 1.5 | 89.1 |
| 1988 | 1.2 | 87.6 |
| 1987 | 1.3 | 88.5 |
| 1986 | 1.2 | 89.4 |
| 1985 | 0.8 | 83 |
| 1984 | 1 | 83.1 |
| 1983 | 0.9 | 82.1 |
| 1982 | 0.8 | 84.8 |
| 1981 | 1.1 | 88 |
| 1980 | 1.1 | 85 |
| 1979 | 0.9 | 85.5 |
| 1978 | 0.7 | 82.9 |
| 1977 | 1.1 | 84.1 |
| 1976 | 0.8 | 81 |
| 1975 | 1 | 80.8 |
| 1974 | 0.9 | 82.2 |
| 1973 | 1.3 | 83.6 |
| 1972 | 0.7 | 81.4 |
| 1971 | 0.7 | 80.7 |
| 1970 | 0.6 | 81.8 |
| 1969 | 0.8 | 79.5 |
| 1968 | 0.8 | 79.1 |
| 1967 | 0.5 | 77.5 |
| 1966 | 0.6 | 78.1 |
| 1965 | 0.6 | 78 |
| 1964 | 0.4 | 73.8 |
| 1963 | 0.6 | 73.1 |
| 1962 | 0.9 | 81.1 |
| 1961 | 0.8 | 82.6 |
| 1960 | 1.1 | 83.9 |
| 1959 | 0.7 | 81.4 |
| 1958 | 0.9 | 82.1 |
| 1957 | 0.8 | 80.9 |
| 1956 | 0.7 | 80 |
| 1955 | 0.8 | 81.6 |
| 1954 | 0.9 | 81.4 |
| 1953 | 0.8 | 80.6 |
| 1952 | 0.8 | 81.4 |
| 1951 | 1 | 82.1 |
| 1950 | 0.9 | 80.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 卢旺达 | 坦桑尼亚 |
|---|---|---|
| 2015 | 3.41.5–7.6 | 114.895.2–137.4 |
| 2016 | 2.91.2–5.6 | 108.391.6–125.6 |
| 2017 | 3.41.8–5.5 | 114.893.6–137.8 |
| 2018 | 3.81.8–7.1 | 116.497.4–137.1 |
| 2019 | 3.61.3–6.9 | 113.495.2–133.2 |
| 2020 | 4.32.1–7.9 | 119.396.2–143.5 |
| 2021 | 4.22.6–7.5 | 119.5100.9–147.1 |
| 2022 | 42.9–7.8 | 124.4105.3–147.4 |
| 2023 | 4.41.9–8.4 | 122.1102.1–147.8 |
| 2024 | 52–9.6 | 126.2100–150.1 |
| 2025 | 4.42.1–9.5 | 124.6100.9–154 |
| 2026 | 4.81.7–8.9 | 126.999.1–155.6 |
| 2027 | 4.92.1–8.7 | 128102.9–147.7 |
| 2028 | 5.21.7–8.7 | 129.9106.4–152.1 |
| 2029 | 5.43–9.2 | 134.1111–156.5 |
| 2030 | 5.33.1–10.2 | 129.4106.4–151.1 |
| 2031 | 6.63.4–10.4 | 136.4115.9–158.4 |
| 2032 | 6.34–12.2 | 135.1114–166.8 |
| 2033 | 6.52.8–12 | 135.2110.9–161.9 |
| 2034 | 6.13.3–12.4 | 134.7112.5–166.3 |
| 2035 | 6.83.2–12.7 | 140.2114.6–165 |
| 2036 | 6.83.7–12.7 | 137.8113.3–165.5 |
| 2037 | 7.94.3–14.6 | 142.9121.5–168.9 |
| 2038 | 8.44.1–15.3 | 147.9124.3–169.3 |
| 2039 | 7.23.6–15.9 | 144.3117.6–171.3 |
| 2040 | 7.74.3–14.8 | 140.5117–178 |
| 2041 | 8.44.7–15 | 149.1121.7–175.6 |
| 2042 | 8.44.4–20.2 | 146.3120.5–185.3 |
| 2043 | 7.83.8–16.5 | 144.6117–173 |
| 2044 | 7.24.1–14.5 | 147.7121.2–175.8 |
| 2045 | 9.24.6–21 | 150.1125.2–183.4 |
| 2046 | 124.6–24.1 | 161.5128.6–192.2 |
| 2047 | 11.25.4–26 | 160.2129.7–194.4 |
| 2048 | 11.74.6–25.4 | 158.8132.7–193.1 |
| 2049 | 12.25.7–26.7 | 157.6131.1–196 |
| 2050 | 11.75.4–22.9 | 159.7127.8–192 |
| 2051 | 12.36.4–24 | 163.2135.5–197.8 |
| 2052 | 14.56–26.1 | 161.9136.2–199.1 |
| 2053 | 12.55–23.9 | 160.6127.5–197.7 |
| 2054 | 12.85.6–34.3 | 163.2131.5–200.2 |
| 2055 | 12.66.2–32.8 | 167.4137–208.3 |
| 2056 | 145.6–31.6 | 166.4130.8–209.7 |
| 2057 | 14.96–32.3 | 168134.6–208.3 |
| 2058 | 15.15.3–38.7 | 168.7134.9–210.3 |
| 2059 | 14.96.7–38.1 | 174.7144.9–219.5 |
| 2060 | 18.46.1–38.2 | 181.7138.1–219.8 |
| 2061 | 16.65.9–40.7 | 171.8135.5–218.1 |
| 2062 | 17.25.6–49.3 | 177.5139.9–224 |
| 2063 | 16.46.3–39.1 | 181.4140.1–213.8 |
| 2064 | 21.76.3–40.1 | 185.3140.1–215.2 |
| 2065 | 17.17.2–40.5 | 183.5141.1–221.8 |
| 2066 | 18.37.2–42.5 | 181.9146.3–219.3 |
| 2067 | 16.86.3–50.2 | 178.8138.8–229.2 |
| 2068 | 19.76.6–53.2 | 186144.2–228.4 |
| 2069 | 17.66–55 | 183.7141.7–225.3 |
| 2070 | 18.17.6–53.8 | 180.7140.4–228.2 |
| 2071 | 19.36.3–60 | 184.9146.9–235.2 |
| 2072 | 22.18.7–49.3 | 191.3155–226.1 |
| 2073 | 24.39.2–61.7 | 191.6152.4–235.6 |
| 2074 | 23.28.3–57.2 | 183.3149.7–231.7 |
| 2075 | 21.86.3–53.9 | 183.8144.8–233 |
| 2076 | 26.77–59.7 | 191.1150.9–233.2 |
| 2077 | 24.19.1–64.8 | 191.3152.6–238.2 |
| 2078 | 21.48.3–62.1 | 189156.6–233.8 |
| 2079 | 26.47.8–64.8 | 190.5147–237.3 |
| 2080 | 28.78.2–62.2 | 197.3150.7–241.2 |
| 2081 | 25.79–66.4 | 195.6153.4–237.4 |
| 2082 | 27.59.2–63.2 | 194.5157.3–237.3 |
| 2083 | 31.68.7–87 | 193.2151–249.8 |
| 2084 | 31.39.4–78.4 | 201.1152.2–246.7 |
| 2085 | 35.29.2–79.6 | 204.2162.3–252.3 |
| 2086 | 299.7–76.5 | 195156–248.7 |
| 2087 | 30.69.5–80 | 196.7160.8–244.5 |
| 2088 | 32.59.4–76.8 | 208.4154.7–246.9 |
| 2089 | 27.49.3–82.1 | 201.3158.6–248.2 |
| 2090 | 25.911.4–96.6 | 197.9160.7–253.6 |
| 2091 | 43.28.7–89.1 | 210161.6–256 |
| 2092 | 33.910.5–89.6 | 205.8158.3–253.6 |
| 2093 | 35.510.9–91 | 207.2161.2–251.9 |
| 2094 | 34.79.4–91.6 | 207.9161.3–250.6 |
| 2095 | 40.412.9–106.1 | 214.2166.4–258.5 |
| 2096 | 35.99.8–99.9 | 205.3159.8–257.4 |
| 2097 | 32.69.9–89.6 | 206.6158.4–256.8 |
| 2098 | 35.69.8–105.9 | 209.1161–258.3 |
| 2099 | 32.810.9–105.8 | 208.5160.1–256 |
| 2100 | 34.211.1–102.5 | 208158.6–258.6 |
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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
卢旺达与坦桑尼亚对比
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军用
- 军费开支卢旺达:2025 年为 GDP 的 1.29%坦桑尼亚:2025 年为 GDP 的 1.16%
- 军费开支(美元)卢旺达:2025 年为 US$1.94亿坦桑尼亚:2025 年为 US$9.83亿
- 人均军费开支卢旺达:2025 年为 US$13坦桑尼亚: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)坦桑尼亚:2025 年为 5.8%(占政府支出)
- 武装部队人员卢旺达:2020 年为 35,000 人坦桑尼亚:2020 年为 28,000 人
- 国家实力卢旺达:2022 年为 0.07%(占全球实力)坦桑尼亚:2022 年为 0.25%(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)坦桑尼亚:2020 年为 0.1%(占劳动力)
- 武器进口卢旺达:2023 年为 3700万 TIV坦桑尼亚:2025 年为 400万 TIV