肯尼亚与索马里对比
肯尼亚与索马里:热带夜
2014 年热带夜:肯尼亚为 245.6 夜,索马里为 295.2 夜(CMIP6 气候模型中位数模拟)。 2014 年索马里的数值较高,高出 49.6 夜,是肯尼亚的 1.2 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,索马里的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年肯尼亚为 277 夜,索马里为 328.2 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 肯尼亚 | 索马里 |
|---|---|---|
| 2014 | 245.6 | 295.2 |
| 2013 | 245.4 | 296.8 |
| 2012 | 244.7 | 296.7 |
| 2011 | 245 | 297.1 |
| 2010 | 243.8 | 294.6 |
| 2009 | 242.3 | 293.5 |
| 2008 | 240.3 | 292.2 |
| 2007 | 240.9 | 293.3 |
| 2006 | 241.5 | 292.4 |
| 2005 | 241.2 | 292.3 |
| 2004 | 241.8 | 293.8 |
| 2003 | 240.8 | 293.5 |
| 2002 | 240.7 | 292.1 |
| 2001 | 242 | 292.4 |
| 2000 | 239.5 | 290.2 |
| 1999 | 237.8 | 288.6 |
| 1998 | 239.2 | 289.9 |
| 1997 | 236.9 | 288.8 |
| 1996 | 234.2 | 285 |
| 1995 | 232.9 | 285.2 |
| 1994 | 231.9 | 284.2 |
| 1993 | 227.4 | 280.2 |
| 1992 | 224.8 | 278.1 |
| 1991 | 233.8 | 286.6 |
| 1990 | 236.4 | 288.5 |
| 1989 | 234.5 | 285.1 |
| 1988 | 233.1 | 285.6 |
| 1987 | 232.6 | 282.5 |
| 1986 | 233 | 283.4 |
| 1985 | 228.7 | 279.6 |
| 1984 | 230.2 | 281.4 |
| 1983 | 226.7 | 277.1 |
| 1982 | 230.6 | 283.7 |
| 1981 | 232.9 | 282.5 |
| 1980 | 231.3 | 280 |
| 1979 | 229.6 | 280.4 |
| 1978 | 228.7 | 280.5 |
| 1977 | 229.9 | 282.9 |
| 1976 | 227.8 | 278.7 |
| 1975 | 225.9 | 276.8 |
| 1974 | 230.5 | 279.3 |
| 1973 | 230.4 | 280.8 |
| 1972 | 228.7 | 278.3 |
| 1971 | 226 | 278.2 |
| 1970 | 226.3 | 278.3 |
| 1969 | 225.9 | 276.8 |
| 1968 | 222.9 | 276.3 |
| 1967 | 224 | 274.3 |
| 1966 | 225.2 | 275.9 |
| 1965 | 224.2 | 275.2 |
| 1964 | 221.8 | 275.1 |
| 1963 | 220.2 | 272.9 |
| 1962 | 227.2 | 277.9 |
| 1961 | 228.3 | 280.3 |
| 1960 | 228.8 | 280.8 |
| 1959 | 228.3 | 278.8 |
| 1958 | 229.1 | 280.9 |
| 1957 | 228 | 280.3 |
| 1956 | 225.5 | 276.1 |
| 1955 | 228.7 | 280.1 |
| 1954 | 227.4 | 278.2 |
| 1953 | 227.6 | 277.2 |
| 1952 | 228.5 | 279.4 |
| 1951 | 228.3 | 279 |
| 1950 | 226.3 | 278.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 肯尼亚 | 索马里 |
|---|---|---|
| 2015 | 246.9232.3–256.1 | 299.3283.7–311 |
| 2016 | 244.9230.1–255 | 296.8282.3–308.3 |
| 2017 | 248.1233.1–257.7 | 299.6284.6–310.1 |
| 2018 | 248.7237–257.4 | 301.3287.9–310.2 |
| 2019 | 247.1234.8–256.7 | 299.1286.1–311.9 |
| 2020 | 248.6233.2–259.2 | 299.4285.3–310.3 |
| 2021 | 249.5236.3–258.1 | 302.4289.1–313.6 |
| 2022 | 251.5239.7–259.5 | 304.5289.7–314.6 |
| 2023 | 251.8239–260.8 | 304.1290.6–312.4 |
| 2024 | 254.2239.1–263 | 303.4290.1–317 |
| 2025 | 251.5238.1–261.8 | 303.1288.8–317.8 |
| 2026 | 252.2237.2–263.3 | 303.2288.7–315.4 |
| 2027 | 252.8238.4–263.8 | 303.8287.7–314.9 |
| 2028 | 254.9241.9–264.2 | 305.4291.3–316.8 |
| 2029 | 256243.4–264.6 | 307.8294–317.8 |
| 2030 | 253.6240.6–263.1 | 304.5289.6–314.9 |
| 2031 | 256244.7–264.4 | 307.4292.3–317.9 |
| 2032 | 257243.8–267.1 | 308.3292.4–319.6 |
| 2033 | 256241.8–265.9 | 307.2292–317.6 |
| 2034 | 256.2241.2–267.9 | 305.9292.3–321.2 |
| 2035 | 256.7243.3–266.7 | 308.7293.4–321.1 |
| 2036 | 256.2242.4–266.7 | 307.5295.4–317.7 |
| 2037 | 258.7245.9–268.4 | 310.1298.4–319.9 |
| 2038 | 260.3244.5–268.9 | 311.1296.4–323.2 |
| 2039 | 259244.4–268 | 308.6295.9–321.9 |
| 2040 | 258.3246.2–269.8 | 311.7295.9–324.2 |
| 2041 | 260.7244.8–271.2 | 312296.6–321.5 |
| 2042 | 260.3246.5–272.7 | 311.7295–325.7 |
| 2043 | 259246.6–270.5 | 312298–323.1 |
| 2044 | 261.2248.8–270.9 | 311.4297.3–323 |
| 2045 | 261.8248.7–272.9 | 312.3298.6–323 |
| 2046 | 264.8249.6–275.3 | 314.4299–327.7 |
| 2047 | 264.4249.8–275.3 | 315.8300.2–327.9 |
| 2048 | 264.2252.3–274.9 | 316.9302.8–327.5 |
| 2049 | 265.2252.8–275.6 | 314.9303.2–325.2 |
| 2050 | 263.9249.8–275.1 | 315.9300.6–324.5 |
| 2051 | 265.4252.1–275.1 | 314.9301.9–326.9 |
| 2052 | 266.3252.6–276.2 | 316.2301.6–329 |
| 2053 | 265.2251–275.4 | 314.8302.3–326.8 |
| 2054 | 265.2250.2–277.2 | 316.2301.5–330.1 |
| 2055 | 266.8251.6–277.6 | 317.4302.7–327.8 |
| 2056 | 266.2251.2–277.8 | 316.5302.9–332.3 |
| 2057 | 266.8253–278 | 316.8302.5–329.8 |
| 2058 | 266.7251.5–277.9 | 316.9300.7–330.9 |
| 2059 | 269.8254.7–280.5 | 320.8305.2–332.5 |
| 2060 | 271.1253.9–280.7 | 321.3305.7–331.9 |
| 2061 | 267.5253.9–281.7 | 317.8304.8–330.3 |
| 2062 | 268.1254–281.2 | 319.6304.3–336 |
| 2063 | 268.9255–280.1 | 320.9305.3–332 |
| 2064 | 270254.1–279.8 | 319.7306.8–330.5 |
| 2065 | 269.4255.8–282.3 | 318.3304.6–334.6 |
| 2066 | 270.6258.1–281 | 321307.9–333.9 |
| 2067 | 270.7256.1–283 | 320.5304.3–334.4 |
| 2068 | 270.2256–283 | 321.7305.6–336.3 |
| 2069 | 269.8256.1–283.3 | 322.3308.6–335.4 |
| 2070 | 270.1255.8–282.6 | 321.1305.3–335.6 |
| 2071 | 271.9257.9–284.4 | 324.5308.4–336.9 |
| 2072 | 273.5260.3–283.8 | 324.1308.2–334.1 |
| 2073 | 273.1259.9–285.4 | 323.7308.1–337.9 |
| 2074 | 271.9257.5–285.4 | 322306–334.6 |
| 2075 | 271.1256.5–284.7 | 323.6307.6–336.4 |
| 2076 | 274.1258.6–285.8 | 323.6309–333.3 |
| 2077 | 273.4259–286.6 | 324.2309.6–335.9 |
| 2078 | 273.1260–284.4 | 324.7310.1–333.7 |
| 2079 | 273.3258.7–286.6 | 323.2307.6–336.3 |
| 2080 | 275.5259.4–286.9 | 324.7310.6–337.8 |
| 2081 | 274.7259.8–285.6 | 323.2311.1–335.3 |
| 2082 | 274.8261.3–286.4 | 324.3309.4–336.4 |
| 2083 | 274259.6–289.3 | 323.6308.3–342.4 |
| 2084 | 276.8259–288.8 | 326.2309.4–337.5 |
| 2085 | 276.2261.5–289.1 | 327.7311.9–339.4 |
| 2086 | 275.1260–289.1 | 326.6311.1–340.2 |
| 2087 | 276.2260.3–288.5 | 327.3311.5–339.1 |
| 2088 | 276.8261.6–289.7 | 328.6308.2–341.6 |
| 2089 | 275.9260.3–288.8 | 326.7312–340.2 |
| 2090 | 275.3260.5–290.5 | 326.5311.7–339.5 |
| 2091 | 277.7260.4–290.9 | 328.6311.5–340.9 |
| 2092 | 276.2261.2–290.7 | 329.1312.2–341.8 |
| 2093 | 276.9262–290.1 | 327.3312.1–342.8 |
| 2094 | 277262.8–288.9 | 325.6312–336.2 |
| 2095 | 278.4262.3–290.4 | 329314–341.2 |
| 2096 | 277.6260.5–292 | 327.9311.6–341.9 |
| 2097 | 277261–290.2 | 325.6311–340 |
| 2098 | 277.6262.3–291.5 | 327.7311.4–341.1 |
| 2099 | 277.9260.8–292.4 | 327.3311.9–339.3 |
| 2100 | 277261.8–290.4 | 328.2313.4–341.2 |
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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
肯尼亚与索马里对比
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冲突
军用
- 军费开支肯尼亚:2025 年为 GDP 的 1.07%索马里:2025 年为 GDP 的 1.54%
- 军费开支(美元)肯尼亚:2025 年为 US$13.6亿索马里:2025 年为 US$1.93亿
- 人均军费开支肯尼亚:2025 年为 US$26索马里: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)索马里:2025 年为 20.8%(占政府支出)
- 武装部队人员肯尼亚:2020 年为 24,000 人索马里:2020 年为 14,000 人
- 国家实力肯尼亚:2022 年为 0.23%(占全球实力)索马里:2022 年为 0.13%(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)索马里:2020 年为 0.47%(占劳动力)
- 武器进口肯尼亚:2025 年为 1.17亿 TIV索马里:2025 年为 200万 TIV