肯尼亚与津巴布韦对比
肯尼亚与津巴布韦:35 °C 以上天数
2014 年35 °C 以上天数:肯尼亚为 48.1 天,津巴布韦为 15.9 天(CMIP6 气候模型中位数模拟)。 2014 年肯尼亚的数值较高,高出 32.2 天,是津巴布韦的 3.02 倍。
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,肯尼亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年肯尼亚为 103.7 天,津巴布韦为 58.2 天。
逐年数据
每年天数 · CMIP6
| 年份 | 肯尼亚 | 津巴布韦 |
|---|---|---|
| 2014 | 48.1 | 15.9 |
| 2013 | 46.4 | 17.1 |
| 2012 | 45.5 | 15.7 |
| 2011 | 46.4 | 12.5 |
| 2010 | 45.5 | 15.3 |
| 2009 | 40.9 | 13 |
| 2008 | 40.8 | 13.5 |
| 2007 | 39.2 | 14.3 |
| 2006 | 42 | 12.9 |
| 2005 | 42.9 | 14.6 |
| 2004 | 41.8 | 16.2 |
| 2003 | 41 | 15.4 |
| 2002 | 42.7 | 14.9 |
| 2001 | 43.4 | 14.6 |
| 2000 | 39.6 | 15.1 |
| 1999 | 40.9 | 12.5 |
| 1998 | 39.7 | 13.2 |
| 1997 | 38.8 | 12 |
| 1996 | 35.3 | 9.7 |
| 1995 | 34.3 | 10.5 |
| 1994 | 32.9 | 9.8 |
| 1993 | 28.5 | 7.4 |
| 1992 | 28.2 | 7.9 |
| 1991 | 35.1 | 8.9 |
| 1990 | 34.1 | 10.9 |
| 1989 | 34.5 | 12.1 |
| 1988 | 33.9 | 11.6 |
| 1987 | 35.9 | 10.5 |
| 1986 | 35.5 | 10.4 |
| 1985 | 31.2 | 8.9 |
| 1984 | 31 | 8.9 |
| 1983 | 30.2 | 9 |
| 1982 | 33.9 | 9.2 |
| 1981 | 34.6 | 9.7 |
| 1980 | 36.4 | 10 |
| 1979 | 34.4 | 9.3 |
| 1978 | 31.8 | 8 |
| 1977 | 30.5 | 9.4 |
| 1976 | 28.6 | 7.4 |
| 1975 | 29.7 | 10 |
| 1974 | 30.4 | 11 |
| 1973 | 29.1 | 10 |
| 1972 | 28.4 | 8.2 |
| 1971 | 28.1 | 8.4 |
| 1970 | 27 | 9.1 |
| 1969 | 29 | 9.3 |
| 1968 | 25.7 | 8.6 |
| 1967 | 26.9 | 7.4 |
| 1966 | 25.8 | 7.5 |
| 1965 | 24.4 | 8.4 |
| 1964 | 20.8 | 6.2 |
| 1963 | 25.7 | 6.3 |
| 1962 | 28.8 | 9.1 |
| 1961 | 30.9 | 8.8 |
| 1960 | 29.5 | 9 |
| 1959 | 30.4 | 9.6 |
| 1958 | 28 | 10.2 |
| 1957 | 30.7 | 9.9 |
| 1956 | 28.9 | 7.9 |
| 1955 | 30.2 | 11.2 |
| 1954 | 30 | 8.8 |
| 1953 | 31 | 8.6 |
| 1952 | 29.8 | 9.4 |
| 1951 | 30.1 | 8.3 |
| 1950 | 30.8 | 9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 肯尼亚 | 津巴布韦 |
|---|---|---|
| 2015 | 50.131.1–66.1 | 17.19.2–27.4 |
| 2016 | 49.230.5–67.3 | 17.37.9–31.7 |
| 2017 | 50.228.4–68.7 | 189–29.3 |
| 2018 | 5033.4–67.3 | 18.78.6–33.5 |
| 2019 | 49.431.2–67.4 | 18.48.7–28.5 |
| 2020 | 53.533.4–75.7 | 2211.6–34.5 |
| 2021 | 52.434.3–69.5 | 17.48.9–31.5 |
| 2022 | 51.825–70.5 | 22.111.3–34.2 |
| 2023 | 55.535.3–80 | 23.914.6–37.2 |
| 2024 | 60.738.5–78.7 | 22.712.2–35.4 |
| 2025 | 55.236.8–74.4 | 19.47.7–35.5 |
| 2026 | 55.435.2–86.2 | 23.213.8–35.1 |
| 2027 | 5634.2–77.5 | 24.313.2–47.8 |
| 2028 | 56.731.5–80.6 | 23.213.4–42.3 |
| 2029 | 59.535.1–79.7 | 26.913.5–41.7 |
| 2030 | 57.940.5–79.9 | 24.713.5–44.4 |
| 2031 | 64.244.3–83.9 | 21.710.1–43.4 |
| 2032 | 58.839.6–81.3 | 23.913.4–37.9 |
| 2033 | 63.639.2–87.1 | 28.314.5–44.9 |
| 2034 | 62.339.2–84.6 | 30.915.4–52.5 |
| 2035 | 61.636.8–84.1 | 2714.6–44 |
| 2036 | 59.840.3–84.7 | 25.613–44.1 |
| 2037 | 63.740.4–91.7 | 29.415.2–46.3 |
| 2038 | 63.235.1–89.5 | 3316.3–54 |
| 2039 | 65.540.6–88.4 | 26.413.6–43.8 |
| 2040 | 64.144.3–84.7 | 2414.1–43.5 |
| 2041 | 69.847.4–98.8 | 29.216.6–45.4 |
| 2042 | 71.147–95.3 | 30.917.6–52.3 |
| 2043 | 66.640.7–91.1 | 32.416–51.2 |
| 2044 | 69.243–91.5 | 30.117.1–50.7 |
| 2045 | 7049.2–100.3 | 29.414.1–46.6 |
| 2046 | 76.643.2–107.2 | 3318.1–50.4 |
| 2047 | 74.249.2–103.8 | 32.717.6–52.7 |
| 2048 | 72.847.4–102.8 | 35.519.2–56.3 |
| 2049 | 78.548.6–107.8 | 34.619.8–57.8 |
| 2050 | 7250–107.2 | 38.920–58.3 |
| 2051 | 79.352.5–111 | 37.319.7–65.6 |
| 2052 | 79.550.7–104.4 | 42.321.3–67.1 |
| 2053 | 72.944.3–104.5 | 35.519.9–56.4 |
| 2054 | 73.142.1–99.6 | 43.823–73.8 |
| 2055 | 80.450.6–105.6 | 40.622.1–66.4 |
| 2056 | 76.247–111.2 | 37.819.9–64.7 |
| 2057 | 81.352.9–109.1 | 36.319.8–63.3 |
| 2058 | 78.950–112.4 | 38.519.1–60.6 |
| 2059 | 83.351.3–115.7 | 46.824.8–70.1 |
| 2060 | 85.749.3–116.5 | 42.620.1–66.8 |
| 2061 | 85.354.7–115.1 | 42.920.8–66.2 |
| 2062 | 85.355.1–116.5 | 39.224.1–65.6 |
| 2063 | 84.254.2–110.1 | 40.424.4–62.1 |
| 2064 | 87.448.2–113.7 | 4122.2–59.1 |
| 2065 | 86.855.1–123.7 | 4523.3–75.1 |
| 2066 | 83.857–115 | 42.423.1–67.5 |
| 2067 | 8955.6–119.5 | 38.622.2–72.6 |
| 2068 | 87.751.4–117.1 | 42.622.4–65 |
| 2069 | 8653.8–118.3 | 45.524.4–72.1 |
| 2070 | 86.150.8–121 | 4223.8–65.3 |
| 2071 | 91.757.9–123.6 | 43.622.9–68.4 |
| 2072 | 91.461.3–123.1 | 47.623.8–70.9 |
| 2073 | 91.458.5–127.3 | 52.827.6–86.9 |
| 2074 | 87.855.2–124.3 | 49.329–82.9 |
| 2075 | 89.853.7–127.4 | 41.824.5–70.4 |
| 2076 | 97.664.7–134.6 | 44.125.3–76.6 |
| 2077 | 97.755.7–131.4 | 47.728.3–86.8 |
| 2078 | 90.260.9–124.7 | 47.125–73.2 |
| 2079 | 9463.2–125.8 | 48.326.6–83 |
| 2080 | 96.157.8–132.4 | 54.828.1–82.5 |
| 2081 | 99.766.8–136.7 | 49.525.8–88.8 |
| 2082 | 99.458.5–131.7 | 46.129–81.5 |
| 2083 | 100.263.9–137.5 | 46.623.8–90.9 |
| 2084 | 9967.9–133.8 | 52.128.9–75.3 |
| 2085 | 99.259.2–137.4 | 57.231.7–91.8 |
| 2086 | 104.457.4–142.5 | 49.230–75.3 |
| 2087 | 99.762.4–134.4 | 52.130.2–87.7 |
| 2088 | 98.761–135.2 | 58.629.2–86.4 |
| 2089 | 97.966–126.9 | 55.432–84.2 |
| 2090 | 101.468.5–136 | 54.730.4–83.6 |
| 2091 | 104.465.5–141.4 | 5226.4–87.2 |
| 2092 | 99.759.8–137.8 | 56.332.9–86.5 |
| 2093 | 105.971.9–140.7 | 53.624.6–86.7 |
| 2094 | 107.369.1–137.3 | 61.331.2–91.4 |
| 2095 | 106.367.5–142.4 | 56.329.4–87.6 |
| 2096 | 105.461.5–142.2 | 52.230.1–86.6 |
| 2097 | 105.161.4–139.2 | 48.627–81.7 |
| 2098 | 104.861.9–140.8 | 55.831.3–98.2 |
| 2099 | 103.362.5–145.4 | 54.931.1–96.5 |
| 2100 | 103.757.3–139.4 | 58.229.4–85.2 |
分别查看各国
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
肯尼亚与津巴布韦对比
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人口与社会
经济
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冲突
军用
- 军费开支肯尼亚:2025 年为 GDP 的 1.07%津巴布韦:2025 年为 GDP 的 0.56%
- 军费开支(美元)肯尼亚:2025 年为 US$13.6亿津巴布韦:2025 年为 US$1.34亿
- 人均军费开支肯尼亚:2025 年为 US$26津巴布韦:2025 年为 US$10
- 军费占政府支出比例肯尼亚:2025 年为 4.6%(占政府支出)津巴布韦:2005 年为 5.3%(占政府支出)
- 武装部队人员肯尼亚:2020 年为 24,000 人津巴布韦:2020 年为 51,000 人
- 国家实力肯尼亚:2022 年为 0.23%(占全球实力)津巴布韦:2022 年为 0.08%(占全球实力)
- 武装部队占劳动力比例肯尼亚:2020 年为 0.11%(占劳动力)津巴布韦:2020 年为 0.88%(占劳动力)
- 武器进口肯尼亚:2025 年为 1.17亿 TIV津巴布韦:2023 年为 2000万 TIV
- 武器出口肯尼亚:1993 年为 200万 TIV津巴布韦:2001 年为 400万 TIV