卢旺达与坦桑尼亚对比
卢旺达与坦桑尼亚:35 °C 以上天数
2014 年35 °C 以上天数:卢旺达为 0 天,坦桑尼亚为 1.7 天(CMIP6 气候模型中位数模拟)。 2014 年坦桑尼亚的数值较高,高出 1.7 天。
每年天数 · 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 0 天,坦桑尼亚为 16.1 天。
逐年数据
每年天数 · CMIP6
| 年份 | 卢旺达 | 坦桑尼亚 |
|---|---|---|
| 2014 | 0 | 1.7 |
| 2013 | 0 | 1.7 |
| 2012 | 0 | 1.6 |
| 2011 | 0 | 1.9 |
| 2010 | 0 | 1.6 |
| 2009 | 0 | 1.4 |
| 2008 | 0 | 1.3 |
| 2007 | 0 | 1.6 |
| 2006 | 0 | 1.3 |
| 2005 | 0 | 1.3 |
| 2004 | 0 | 1.4 |
| 2003 | 0 | 1.4 |
| 2002 | 0 | 1.5 |
| 2001 | 0 | 1.7 |
| 2000 | 0 | 1.1 |
| 1999 | 0 | 1.1 |
| 1998 | 0 | 1.4 |
| 1997 | 0 | 1.2 |
| 1996 | 0 | 1.1 |
| 1995 | 0 | 0.9 |
| 1994 | 0 | 0.8 |
| 1993 | 0 | 0.7 |
| 1992 | 0 | 0.8 |
| 1991 | 0 | 0.9 |
| 1990 | 0 | 0.9 |
| 1989 | 0 | 1 |
| 1988 | 0 | 1.1 |
| 1987 | 0 | 1 |
| 1986 | 0 | 1.1 |
| 1985 | 0 | 0.9 |
| 1984 | 0 | 0.8 |
| 1983 | 0 | 0.8 |
| 1982 | 0 | 0.9 |
| 1981 | 0 | 0.8 |
| 1980 | 0 | 0.8 |
| 1979 | 0 | 1 |
| 1978 | 0 | 0.6 |
| 1977 | 0 | 0.7 |
| 1976 | 0 | 0.5 |
| 1975 | 0 | 0.7 |
| 1974 | 0 | 0.8 |
| 1973 | 0 | 0.6 |
| 1972 | 0 | 0.6 |
| 1971 | 0 | 0.7 |
| 1970 | 0 | 0.8 |
| 1969 | 0 | 0.7 |
| 1968 | 0 | 0.6 |
| 1967 | 0 | 0.6 |
| 1966 | 0 | 0.6 |
| 1965 | 0 | 0.6 |
| 1964 | 0 | 0.5 |
| 1963 | 0 | 0.6 |
| 1962 | 0 | 0.9 |
| 1961 | 0 | 0.9 |
| 1960 | 0 | 1 |
| 1959 | 0 | 0.8 |
| 1958 | 0 | 0.8 |
| 1957 | 0 | 0.6 |
| 1956 | 0 | 0.6 |
| 1955 | 0 | 0.7 |
| 1954 | 0 | 0.7 |
| 1953 | 0 | 0.7 |
| 1952 | 0 | 0.6 |
| 1951 | 0 | 0.6 |
| 1950 | 0 | 0.7 |
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 | 00–0 | 2.50.8–5.7 |
| 2016 | 00–0 | 1.90.6–5.5 |
| 2017 | 00–0 | 2.30.5–6 |
| 2018 | 00–0 | 2.50.8–5.9 |
| 2019 | 00–0 | 2.50.8–6.2 |
| 2020 | 00–0 | 3.21.3–7.5 |
| 2021 | 00–0 | 3.10.8–8 |
| 2022 | 00–0 | 2.80.8–9 |
| 2023 | 00–0 | 3.51.1–8.4 |
| 2024 | 00–0 | 3.81.2–7.9 |
| 2025 | 00–0 | 3.31–8.2 |
| 2026 | 00–0 | 3.20.8–9.3 |
| 2027 | 00–0 | 3.51–7.8 |
| 2028 | 00–0 | 3.21–7.3 |
| 2029 | 00–0 | 3.51–9.7 |
| 2030 | 00–0 | 3.71.2–8.9 |
| 2031 | 00–0 | 41.4–10.1 |
| 2032 | 00–0 | 3.61.1–8.4 |
| 2033 | 00–0 | 4.61.6–11.5 |
| 2034 | 00–0 | 4.81.6–11.1 |
| 2035 | 00–0 | 4.41.7–11.8 |
| 2036 | 00–0 | 4.61.5–11.5 |
| 2037 | 00–0 | 4.91.4–10.9 |
| 2038 | 00–0 | 4.31.5–10.5 |
| 2039 | 00–0 | 4.91.8–10.6 |
| 2040 | 00–0 | 5.41.7–12.1 |
| 2041 | 00–0 | 5.61.5–13.8 |
| 2042 | 00–0 | 5.61.9–11.7 |
| 2043 | 00–0 | 4.31.5–10.9 |
| 2044 | 00–0 | 4.91.7–13.1 |
| 2045 | 00–0 | 6.32.4–12.7 |
| 2046 | 00–0 | 6.92–15 |
| 2047 | 00–0 | 72.7–15.9 |
| 2048 | 00–0 | 7.22.8–17.2 |
| 2049 | 00–0 | 6.32.2–15.1 |
| 2050 | 00–0 | 6.92.3–17.9 |
| 2051 | 00–0 | 8.53.4–18.4 |
| 2052 | 00–0 | 7.43.3–17.2 |
| 2053 | 00–0 | 6.81.5–16.2 |
| 2054 | 00–0 | 8.33–17.8 |
| 2055 | 00–0 | 8.73.3–19.2 |
| 2056 | 00–0 | 8.52.4–20.4 |
| 2057 | 00–0 | 8.92.3–20.4 |
| 2058 | 00–0 | 9.83.2–18.7 |
| 2059 | 00–0 | 10.33.6–21.9 |
| 2060 | 00–0 | 10.82.8–22.6 |
| 2061 | 00–0 | 10.52.9–22.7 |
| 2062 | 00–0 | 10.43.7–24.8 |
| 2063 | 00–0 | 103.1–21.5 |
| 2064 | 00–0 | 10.83.9–22.7 |
| 2065 | 00–0 | 11.13.3–27 |
| 2066 | 00–0 | 11.23.5–25.4 |
| 2067 | 00–0 | 10.83.2–25.6 |
| 2068 | 00–0 | 10.23.5–26.2 |
| 2069 | 00–0 | 11.43.3–24.2 |
| 2070 | 00–0 | 11.54.2–26.5 |
| 2071 | 00–0 | 12.43.6–24.9 |
| 2072 | 00–0 | 12.54.8–25.9 |
| 2073 | 00–0 | 13.34.6–29.5 |
| 2074 | 00–0 | 10.63.5–24 |
| 2075 | 00–0 | 11.74.4–24.4 |
| 2076 | 00–0 | 12.74.2–28.7 |
| 2077 | 00–0 | 12.34.7–26.7 |
| 2078 | 00–0 | 134.8–25.9 |
| 2079 | 00–0 | 144–27.6 |
| 2080 | 00–0 | 13.34–28.4 |
| 2081 | 00–0 | 14.23.5–28.5 |
| 2082 | 00–0 | 13.94.8–27.1 |
| 2083 | 00–0 | 15.26.1–31.9 |
| 2084 | 00–0 | 16.45.2–30.7 |
| 2085 | 00–0 | 15.96.6–31.5 |
| 2086 | 00–0 | 15.45.3–31.1 |
| 2087 | 00–0 | 14.94.7–29.5 |
| 2088 | 00–0 | 16.54.6–31.4 |
| 2089 | 00–0 | 15.65.7–28.3 |
| 2090 | 00–0 | 165.3–32.8 |
| 2091 | 00–0 | 18.56.3–35.4 |
| 2092 | 00–0 | 17.26.3–35.2 |
| 2093 | 00–0 | 17.36.7–32.3 |
| 2094 | 00–0 | 19.45.1–34.5 |
| 2095 | 00–0.1 | 17.56.5–34.6 |
| 2096 | 00–0 | 166.2–33.4 |
| 2097 | 00–0 | 16.35.5–32.4 |
| 2098 | 00–0 | 16.45.6–35.3 |
| 2099 | 00–0 | 16.94.3–33.2 |
| 2100 | 00–0 | 16.15.8–35 |
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须知
- 一年中最高气温超过 35 °C 的天数,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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冲突
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