科特迪瓦与肯尼亚对比
科特迪瓦与肯尼亚:热带夜
2014 年热带夜:科特迪瓦为 341.6 夜,肯尼亚为 245.6 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 96 夜,是肯尼亚的 1.39 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,科特迪瓦的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年科特迪瓦为 359.6 夜,肯尼亚为 277 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 科特迪瓦 | 肯尼亚 |
|---|---|---|
| 2014 | 341.6 | 245.6 |
| 2013 | 339.6 | 245.4 |
| 2012 | 342.3 | 244.7 |
| 2011 | 340.1 | 245 |
| 2010 | 338.6 | 243.8 |
| 2009 | 337.3 | 242.3 |
| 2008 | 337.1 | 240.3 |
| 2007 | 336.7 | 240.9 |
| 2006 | 336.6 | 241.5 |
| 2005 | 337.6 | 241.2 |
| 2004 | 334.8 | 241.8 |
| 2003 | 337.3 | 240.8 |
| 2002 | 336.1 | 240.7 |
| 2001 | 339.5 | 242 |
| 2000 | 334.6 | 239.5 |
| 1999 | 331.3 | 237.8 |
| 1998 | 332.7 | 239.2 |
| 1997 | 331.8 | 236.9 |
| 1996 | 329.9 | 234.2 |
| 1995 | 330.5 | 232.9 |
| 1994 | 327.9 | 231.9 |
| 1993 | 327.2 | 227.4 |
| 1992 | 322 | 224.8 |
| 1991 | 331.7 | 233.8 |
| 1990 | 334 | 236.4 |
| 1989 | 328.9 | 234.5 |
| 1988 | 327.5 | 233.1 |
| 1987 | 327.9 | 232.6 |
| 1986 | 329.2 | 233 |
| 1985 | 324.9 | 228.7 |
| 1984 | 325.8 | 230.2 |
| 1983 | 325.4 | 226.7 |
| 1982 | 324 | 230.6 |
| 1981 | 327 | 232.9 |
| 1980 | 323.1 | 231.3 |
| 1979 | 327.1 | 229.6 |
| 1978 | 324.2 | 228.7 |
| 1977 | 325.5 | 229.9 |
| 1976 | 321.7 | 227.8 |
| 1975 | 322.8 | 225.9 |
| 1974 | 322 | 230.5 |
| 1973 | 323.8 | 230.4 |
| 1972 | 322.4 | 228.7 |
| 1971 | 322 | 226 |
| 1970 | 322.2 | 226.3 |
| 1969 | 320.9 | 225.9 |
| 1968 | 319.8 | 222.9 |
| 1967 | 317.1 | 224 |
| 1966 | 318.4 | 225.2 |
| 1965 | 320 | 224.2 |
| 1964 | 314.7 | 221.8 |
| 1963 | 317.4 | 220.2 |
| 1962 | 324.1 | 227.2 |
| 1961 | 323.1 | 228.3 |
| 1960 | 325.5 | 228.8 |
| 1959 | 322.1 | 228.3 |
| 1958 | 322.4 | 229.1 |
| 1957 | 321.2 | 228 |
| 1956 | 321.2 | 225.5 |
| 1955 | 320.1 | 228.7 |
| 1954 | 325.6 | 227.4 |
| 1953 | 322.9 | 227.6 |
| 1952 | 319.4 | 228.5 |
| 1951 | 323.9 | 228.3 |
| 1950 | 317.8 | 226.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 科特迪瓦 | 肯尼亚 |
|---|---|---|
| 2015 | 339.1321.9–350.7 | 246.9232.3–256.1 |
| 2016 | 339.9324.6–349.1 | 244.9230.1–255 |
| 2017 | 340.5322.4–349.6 | 248.1233.1–257.7 |
| 2018 | 341.6327.4–351.6 | 248.7237–257.4 |
| 2019 | 338.5323.6–350.3 | 247.1234.8–256.7 |
| 2020 | 340.6324.2–352.9 | 248.6233.2–259.2 |
| 2021 | 340.8325.2–353.8 | 249.5236.3–258.1 |
| 2022 | 344327.2–353.4 | 251.5239.7–259.5 |
| 2023 | 341.2327.2–352.6 | 251.8239–260.8 |
| 2024 | 344.9331–353.9 | 254.2239.1–263 |
| 2025 | 342.4327.8–352.1 | 251.5238.1–261.8 |
| 2026 | 342.3326.6–353.3 | 252.2237.2–263.3 |
| 2027 | 343.9325.6–352.9 | 252.8238.4–263.8 |
| 2028 | 347.4333.6–355.5 | 254.9241.9–264.2 |
| 2029 | 347.2332.4–355.2 | 256243.4–264.6 |
| 2030 | 347.2332.1–353.8 | 253.6240.6–263.1 |
| 2031 | 349.3333.1–357.2 | 256244.7–264.4 |
| 2032 | 347.8331.5–356.9 | 257243.8–267.1 |
| 2033 | 348332.6–360.4 | 256241.8–265.9 |
| 2034 | 346.6331.7–355.8 | 256.2241.2–267.9 |
| 2035 | 348.9333.7–357.8 | 256.7243.3–266.7 |
| 2036 | 350.5332.7–359.1 | 256.2242.4–266.7 |
| 2037 | 349.8334.6–357.5 | 258.7245.9–268.4 |
| 2038 | 351.3338.9–358.2 | 260.3244.5–268.9 |
| 2039 | 350.6333.1–358.9 | 259244.4–268 |
| 2040 | 351.1336.2–359.6 | 258.3246.2–269.8 |
| 2041 | 350.8335.9–358 | 260.7244.8–271.2 |
| 2042 | 349.8337.3–358.6 | 260.3246.5–272.7 |
| 2043 | 348.4336.1–357.8 | 259246.6–270.5 |
| 2044 | 350.3337.5–359.2 | 261.2248.8–270.9 |
| 2045 | 351339.5–359.5 | 261.8248.7–272.9 |
| 2046 | 351.7337.6–358.6 | 264.8249.6–275.3 |
| 2047 | 352335.4–360.1 | 264.4249.8–275.3 |
| 2048 | 351.6339.9–360.3 | 264.2252.3–274.9 |
| 2049 | 353339.6–360.9 | 265.2252.8–275.6 |
| 2050 | 352340.6–359.3 | 263.9249.8–275.1 |
| 2051 | 353340.5–360.5 | 265.4252.1–275.1 |
| 2052 | 352339–359.8 | 266.3252.6–276.2 |
| 2053 | 352.7339–360.5 | 265.2251–275.4 |
| 2054 | 354.7339.5–360.9 | 265.2250.2–277.2 |
| 2055 | 353.4343.4–360.8 | 266.8251.6–277.6 |
| 2056 | 355.9339.6–362.8 | 266.2251.2–277.8 |
| 2057 | 356.3343–362 | 266.8253–278 |
| 2058 | 354.3344.5–361.3 | 266.7251.5–277.9 |
| 2059 | 355343.4–361.7 | 269.8254.7–280.5 |
| 2060 | 354.6343.3–362.1 | 271.1253.9–280.7 |
| 2061 | 354.6341.3–362.5 | 267.5253.9–281.7 |
| 2062 | 354.4340.8–361.3 | 268.1254–281.2 |
| 2063 | 355.4345.2–362.1 | 268.9255–280.1 |
| 2064 | 356.1344.6–362.9 | 270254.1–279.8 |
| 2065 | 355.5346.4–362.4 | 269.4255.8–282.3 |
| 2066 | 355.2344.5–361.2 | 270.6258.1–281 |
| 2067 | 355.3341.4–361.8 | 270.7256.1–283 |
| 2068 | 357.3346.3–363.6 | 270.2256–283 |
| 2069 | 355344.3–362.7 | 269.8256.1–283.3 |
| 2070 | 355.6344.2–362.3 | 270.1255.8–282.6 |
| 2071 | 356.8344.7–362.9 | 271.9257.9–284.4 |
| 2072 | 357.7346.2–363.1 | 273.5260.3–283.8 |
| 2073 | 356.6345.2–362.2 | 273.1259.9–285.4 |
| 2074 | 354.4342.1–362.7 | 271.9257.5–285.4 |
| 2075 | 356343.7–362.5 | 271.1256.5–284.7 |
| 2076 | 357.4348.5–363.3 | 274.1258.6–285.8 |
| 2077 | 358.1347.7–362.8 | 273.4259–286.6 |
| 2078 | 357.3346.8–363.2 | 273.1260–284.4 |
| 2079 | 357.4346.6–363.6 | 273.3258.7–286.6 |
| 2080 | 359.1349.4–364.7 | 275.5259.4–286.9 |
| 2081 | 358.8347.5–363.5 | 274.7259.8–285.6 |
| 2082 | 357346.9–363.4 | 274.8261.3–286.4 |
| 2083 | 357.8349.5–363.1 | 274259.6–289.3 |
| 2084 | 358.8349.3–363.4 | 276.8259–288.8 |
| 2085 | 359.7350.1–364 | 276.2261.5–289.1 |
| 2086 | 359347.7–363.8 | 275.1260–289.1 |
| 2087 | 358.8348.8–364.1 | 276.2260.3–288.5 |
| 2088 | 358347.4–363.7 | 276.8261.6–289.7 |
| 2089 | 357.4347.3–363.5 | 275.9260.3–288.8 |
| 2090 | 358.8346.1–363.9 | 275.3260.5–290.5 |
| 2091 | 358.3349.1–363.3 | 277.7260.4–290.9 |
| 2092 | 359.2347.5–364 | 276.2261.2–290.7 |
| 2093 | 359349.8–363.8 | 276.9262–290.1 |
| 2094 | 359.3350.1–363.1 | 277262.8–288.9 |
| 2095 | 358.1349.7–364 | 278.4262.3–290.4 |
| 2096 | 358.8348.3–365.1 | 277.6260.5–292 |
| 2097 | 358.9342.5–362.5 | 277261–290.2 |
| 2098 | 357.8348.1–363.6 | 277.6262.3–291.5 |
| 2099 | 359.2349.5–363.2 | 277.9260.8–292.4 |
| 2100 | 359.6348.3–363.8 | 277261.8–290.4 |
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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
科特迪瓦与肯尼亚对比
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人口与社会
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冲突
军用
- 军费开支科特迪瓦:2025 年为 GDP 的 0.77%肯尼亚:2025 年为 GDP 的 1.07%
- 军费开支(美元)科特迪瓦:2025 年为 US$7.21亿肯尼亚:2025 年为 US$13.6亿
- 人均军费开支科特迪瓦:2025 年为 US$24肯尼亚:2025 年为 US$26
- 军费占政府支出比例科特迪瓦:2025 年为 3.8%(占政府支出)肯尼亚:2025 年为 4.6%(占政府支出)
- 武装部队人员科特迪瓦:2020 年为 27,000 人肯尼亚:2020 年为 24,000 人
- 国家实力科特迪瓦:2022 年为 0.16%(占全球实力)肯尼亚:2022 年为 0.23%(占全球实力)
- 武装部队占劳动力比例科特迪瓦:2020 年为 0.25%(占劳动力)肯尼亚:2020 年为 0.11%(占劳动力)
- 武器进口科特迪瓦:2025 年为 1500万 TIV肯尼亚:2025 年为 1.17亿 TIV
- 武器出口科特迪瓦:1971 年为 100万 TIV肯尼亚:1993 年为 200万 TIV