喀麦隆与肯尼亚对比
喀麦隆与肯尼亚:热带夜
2014 年热带夜:喀麦隆为 238.7 夜,肯尼亚为 245.6 夜(CMIP6 气候模型中位数模拟)。 2014 年肯尼亚的数值较高,高出 6.9 夜,是喀麦隆的 1.03 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,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 年喀麦隆为 324.2 夜,肯尼亚为 277 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 喀麦隆 | 肯尼亚 |
|---|---|---|
| 2014 | 238.7 | 245.6 |
| 2013 | 236.7 | 245.4 |
| 2012 | 242.2 | 244.7 |
| 2011 | 237.6 | 245 |
| 2010 | 230.4 | 243.8 |
| 2009 | 226.6 | 242.3 |
| 2008 | 223.1 | 240.3 |
| 2007 | 222.1 | 240.9 |
| 2006 | 220.1 | 241.5 |
| 2005 | 216.1 | 241.2 |
| 2004 | 217.6 | 241.8 |
| 2003 | 221 | 240.8 |
| 2002 | 215.5 | 240.7 |
| 2001 | 223 | 242 |
| 2000 | 210 | 239.5 |
| 1999 | 200.5 | 237.8 |
| 1998 | 203.5 | 239.2 |
| 1997 | 202 | 236.9 |
| 1996 | 190 | 234.2 |
| 1995 | 187.3 | 232.9 |
| 1994 | 183.1 | 231.9 |
| 1993 | 165.2 | 227.4 |
| 1992 | 156.7 | 224.8 |
| 1991 | 192.6 | 233.8 |
| 1990 | 200.7 | 236.4 |
| 1989 | 187.5 | 234.5 |
| 1988 | 185.8 | 233.1 |
| 1987 | 182.7 | 232.6 |
| 1986 | 188.9 | 233 |
| 1985 | 173.2 | 228.7 |
| 1984 | 172.9 | 230.2 |
| 1983 | 165.5 | 226.7 |
| 1982 | 176.3 | 230.6 |
| 1981 | 182.6 | 232.9 |
| 1980 | 173.6 | 231.3 |
| 1979 | 175.8 | 229.6 |
| 1978 | 172.8 | 228.7 |
| 1977 | 175.7 | 229.9 |
| 1976 | 164.5 | 227.8 |
| 1975 | 159.5 | 225.9 |
| 1974 | 166.8 | 230.5 |
| 1973 | 170.4 | 230.4 |
| 1972 | 165.2 | 228.7 |
| 1971 | 161.3 | 226 |
| 1970 | 164.4 | 226.3 |
| 1969 | 160 | 225.9 |
| 1968 | 157.8 | 222.9 |
| 1967 | 147.9 | 224 |
| 1966 | 156.5 | 225.2 |
| 1965 | 151.6 | 224.2 |
| 1964 | 143.1 | 221.8 |
| 1963 | 145.9 | 220.2 |
| 1962 | 171.8 | 227.2 |
| 1961 | 167.2 | 228.3 |
| 1960 | 176.2 | 228.8 |
| 1959 | 166.5 | 228.3 |
| 1958 | 169.2 | 229.1 |
| 1957 | 168.2 | 228 |
| 1956 | 160 | 225.5 |
| 1955 | 163.7 | 228.7 |
| 1954 | 167.6 | 227.4 |
| 1953 | 168.2 | 227.6 |
| 1952 | 165.7 | 228.5 |
| 1951 | 172.8 | 228.3 |
| 1950 | 162.8 | 226.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 喀麦隆 | 肯尼亚 |
|---|---|---|
| 2015 | 242.2196.9–270.8 | 246.9232.3–256.1 |
| 2016 | 237.7192.1–259.9 | 244.9230.1–255 |
| 2017 | 245.8205.7–271.3 | 248.1233.1–257.7 |
| 2018 | 245.7208–270.5 | 248.7237–257.4 |
| 2019 | 243.7200.2–275.6 | 247.1234.8–256.7 |
| 2020 | 246.4210.4–278 | 248.6233.2–259.2 |
| 2021 | 255.2220.2–279.6 | 249.5236.3–258.1 |
| 2022 | 255.8221–285.7 | 251.5239.7–259.5 |
| 2023 | 254.5221.7–284.1 | 251.8239–260.8 |
| 2024 | 263225.8–286.8 | 254.2239.1–263 |
| 2025 | 257.3222.7–293.9 | 251.5238.1–261.8 |
| 2026 | 260.4211.9–292 | 252.2237.2–263.3 |
| 2027 | 258.5223.8–291.5 | 252.8238.4–263.8 |
| 2028 | 266.9235.5–294.7 | 254.9241.9–264.2 |
| 2029 | 269.9242.3–293.5 | 256243.4–264.6 |
| 2030 | 266.6229–293.5 | 253.6240.6–263.1 |
| 2031 | 273.2229.9–298.5 | 256244.7–264.4 |
| 2032 | 269.8240.6–296.2 | 257243.8–267.1 |
| 2033 | 271.8235.6–303.4 | 256241.8–265.9 |
| 2034 | 268.1239.2–299.1 | 256.2241.2–267.9 |
| 2035 | 277.5241.5–302.7 | 256.7243.3–266.7 |
| 2036 | 275.7235.1–301.3 | 256.2242.4–266.7 |
| 2037 | 283.5252.3–305.9 | 258.7245.9–268.4 |
| 2038 | 285.8258–307.9 | 260.3244.5–268.9 |
| 2039 | 280.9250.4–305.8 | 259244.4–268 |
| 2040 | 279.5252.1–310.6 | 258.3246.2–269.8 |
| 2041 | 284.5254.6–309.9 | 260.7244.8–271.2 |
| 2042 | 284.8253.6–313.2 | 260.3246.5–272.7 |
| 2043 | 281.2251.4–309.8 | 259246.6–270.5 |
| 2044 | 283.8244.4–312.3 | 261.2248.8–270.9 |
| 2045 | 286.8253.7–311.4 | 261.8248.7–272.9 |
| 2046 | 296.1260.6–318.1 | 264.8249.6–275.3 |
| 2047 | 294.3260.7–316.6 | 264.4249.8–275.3 |
| 2048 | 297.3265.6–318.1 | 264.2252.3–274.9 |
| 2049 | 298.3267.8–318.1 | 265.2252.8–275.6 |
| 2050 | 296.9267.9–322.7 | 263.9249.8–275.1 |
| 2051 | 297.8266.7–319.9 | 265.4252.1–275.1 |
| 2052 | 298.7270.1–322.3 | 266.3252.6–276.2 |
| 2053 | 297.7261.3–321.7 | 265.2251–275.4 |
| 2054 | 301.2268.2–324.6 | 265.2250.2–277.2 |
| 2055 | 301.3276.5–324.3 | 266.8251.6–277.6 |
| 2056 | 302.1270.4–329.2 | 266.2251.2–277.8 |
| 2057 | 305.4277.7–327.4 | 266.8253–278 |
| 2058 | 302.6272.1–325.2 | 266.7251.5–277.9 |
| 2059 | 306.2279.6–330.1 | 269.8254.7–280.5 |
| 2060 | 306.1276.1–331.1 | 271.1253.9–280.7 |
| 2061 | 304.4267.2–329.7 | 267.5253.9–281.7 |
| 2062 | 307.6266.2–332.2 | 268.1254–281.2 |
| 2063 | 309.1272.5–328.8 | 268.9255–280.1 |
| 2064 | 308.5278.7–331 | 270254.1–279.8 |
| 2065 | 311.3284.1–329.6 | 269.4255.8–282.3 |
| 2066 | 311.9284–332.7 | 270.6258.1–281 |
| 2067 | 310.1271.7–335.6 | 270.7256.1–283 |
| 2068 | 312.9278.7–335 | 270.2256–283 |
| 2069 | 310.4278.4–333.4 | 269.8256.1–283.3 |
| 2070 | 309.8281.2–334.9 | 270.1255.8–282.6 |
| 2071 | 316.4282.3–336 | 271.9257.9–284.4 |
| 2072 | 315.4289.2–335.3 | 273.5260.3–283.8 |
| 2073 | 314282.6–339.5 | 273.1259.9–285.4 |
| 2074 | 311.7281.9–336.8 | 271.9257.5–285.4 |
| 2075 | 314.8285.3–335.3 | 271.1256.5–284.7 |
| 2076 | 315.2284.7–338.4 | 274.1258.6–285.8 |
| 2077 | 318.2289.7–341.4 | 273.4259–286.6 |
| 2078 | 315.8286.4–338.5 | 273.1260–284.4 |
| 2079 | 317.7287.8–337.5 | 273.3258.7–286.6 |
| 2080 | 321.5285.9–341.7 | 275.5259.4–286.9 |
| 2081 | 318.7290–339 | 274.7259.8–285.6 |
| 2082 | 316.2289–337.7 | 274.8261.3–286.4 |
| 2083 | 317.7288.2–341.6 | 274259.6–289.3 |
| 2084 | 318.5284.5–342.1 | 276.8259–288.8 |
| 2085 | 323.4294–342.7 | 276.2261.5–289.1 |
| 2086 | 319.5292.3–343 | 275.1260–289.1 |
| 2087 | 318292.7–342.5 | 276.2260.3–288.5 |
| 2088 | 320.4288.1–342 | 276.8261.6–289.7 |
| 2089 | 320.1289.6–340.7 | 275.9260.3–288.8 |
| 2090 | 322.4292.8–342.6 | 275.3260.5–290.5 |
| 2091 | 322.6289.9–345 | 277.7260.4–290.9 |
| 2092 | 324.9291.6–343.6 | 276.2261.2–290.7 |
| 2093 | 322.3299.7–342.6 | 276.9262–290.1 |
| 2094 | 324299.3–343.4 | 277262.8–288.9 |
| 2095 | 326.4300.2–346.4 | 278.4262.3–290.4 |
| 2096 | 322.1294.4–346.4 | 277.6260.5–292 |
| 2097 | 320.9287.4–342.5 | 277261–290.2 |
| 2098 | 323.1293.8–344.4 | 277.6262.3–291.5 |
| 2099 | 322.6295.7–344.2 | 277.9260.8–292.4 |
| 2100 | 324.2293.6–346.6 | 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
喀麦隆与肯尼亚对比
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冲突
军用
- 军费开支喀麦隆:2025 年为 GDP 的 1.06%肯尼亚:2025 年为 GDP 的 1.07%
- 军费开支(美元)喀麦隆:2025 年为 US$5.8亿肯尼亚:2025 年为 US$13.6亿
- 人均军费开支喀麦隆:2025 年为 US$21肯尼亚:2025 年为 US$26
- 军费占政府支出比例喀麦隆:2025 年为 6.5%(占政府支出)肯尼亚:2025 年为 4.6%(占政府支出)
- 武装部队人员喀麦隆:2020 年为 34,000 人肯尼亚:2020 年为 24,000 人
- 国家实力喀麦隆: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喀麦隆:2020 年为 0.34%(占劳动力)肯尼亚:2020 年为 0.11%(占劳动力)
- 武器进口喀麦隆:2023 年为 200万 TIV肯尼亚:2025 年为 1.17亿 TIV