几内亚与肯尼亚对比
几内亚与肯尼亚:热带夜
2014 年热带夜:几内亚为 286.6 夜,肯尼亚为 245.6 夜(CMIP6 气候模型中位数模拟)。 2014 年几内亚的数值较高,高出 41 夜,是肯尼亚的 1.17 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,几内亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年几内亚为 345.3 夜,肯尼亚为 277 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 几内亚 | 肯尼亚 |
|---|---|---|
| 2014 | 286.6 | 245.6 |
| 2013 | 285.3 | 245.4 |
| 2012 | 292.9 | 244.7 |
| 2011 | 288.8 | 245 |
| 2010 | 285.2 | 243.8 |
| 2009 | 282.5 | 242.3 |
| 2008 | 279 | 240.3 |
| 2007 | 278.9 | 240.9 |
| 2006 | 278.8 | 241.5 |
| 2005 | 278.9 | 241.2 |
| 2004 | 276 | 241.8 |
| 2003 | 279.6 | 240.8 |
| 2002 | 277.1 | 240.7 |
| 2001 | 279.8 | 242 |
| 2000 | 273.1 | 239.5 |
| 1999 | 267 | 237.8 |
| 1998 | 268.4 | 239.2 |
| 1997 | 266.6 | 236.9 |
| 1996 | 260.4 | 234.2 |
| 1995 | 260.3 | 232.9 |
| 1994 | 255 | 231.9 |
| 1993 | 246.6 | 227.4 |
| 1992 | 242.4 | 224.8 |
| 1991 | 264.3 | 233.8 |
| 1990 | 266.4 | 236.4 |
| 1989 | 259.7 | 234.5 |
| 1988 | 256.9 | 233.1 |
| 1987 | 258.4 | 232.6 |
| 1986 | 259.9 | 233 |
| 1985 | 252.6 | 228.7 |
| 1984 | 249.6 | 230.2 |
| 1983 | 248.4 | 226.7 |
| 1982 | 250 | 230.6 |
| 1981 | 253.5 | 232.9 |
| 1980 | 251.2 | 231.3 |
| 1979 | 251.2 | 229.6 |
| 1978 | 252 | 228.7 |
| 1977 | 250.4 | 229.9 |
| 1976 | 244 | 227.8 |
| 1975 | 242.3 | 225.9 |
| 1974 | 247.2 | 230.5 |
| 1973 | 249.3 | 230.4 |
| 1972 | 246.1 | 228.7 |
| 1971 | 244.5 | 226 |
| 1970 | 249 | 226.3 |
| 1969 | 241.2 | 225.9 |
| 1968 | 241.5 | 222.9 |
| 1967 | 233.3 | 224 |
| 1966 | 237.7 | 225.2 |
| 1965 | 239.8 | 224.2 |
| 1964 | 231 | 221.8 |
| 1963 | 225.8 | 220.2 |
| 1962 | 246.9 | 227.2 |
| 1961 | 246 | 228.3 |
| 1960 | 250.5 | 228.8 |
| 1959 | 244.8 | 228.3 |
| 1958 | 245.6 | 229.1 |
| 1957 | 247.5 | 228 |
| 1956 | 242.4 | 225.5 |
| 1955 | 243.5 | 228.7 |
| 1954 | 250.2 | 227.4 |
| 1953 | 241.2 | 227.6 |
| 1952 | 240.3 | 228.5 |
| 1951 | 248.8 | 228.3 |
| 1950 | 240.8 | 226.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 几内亚 | 肯尼亚 |
|---|---|---|
| 2015 | 286.7259.9–308.5 | 246.9232.3–256.1 |
| 2016 | 288.9262.6–304 | 244.9230.1–255 |
| 2017 | 291.6265.5–311.4 | 248.1233.1–257.7 |
| 2018 | 295.6269.3–311.8 | 248.7237–257.4 |
| 2019 | 291.8266.8–313.6 | 247.1234.8–256.7 |
| 2020 | 291.2265.6–315.4 | 248.6233.2–259.2 |
| 2021 | 295.8268–316.3 | 249.5236.3–258.1 |
| 2022 | 299.9277.9–322.4 | 251.5239.7–259.5 |
| 2023 | 296273.8–318 | 251.8239–260.8 |
| 2024 | 302.3276.9–322.8 | 254.2239.1–263 |
| 2025 | 298.9275.2–322.4 | 251.5238.1–261.8 |
| 2026 | 302.5269.3–323.9 | 252.2237.2–263.3 |
| 2027 | 302.6276.3–320.2 | 252.8238.4–263.8 |
| 2028 | 308.2285.4–325.8 | 254.9241.9–264.2 |
| 2029 | 309.3280.6–327.2 | 256243.4–264.6 |
| 2030 | 305.5277.4–322.4 | 253.6240.6–263.1 |
| 2031 | 313.2282.2–329.6 | 256244.7–264.4 |
| 2032 | 307.7287.3–329.5 | 257243.8–267.1 |
| 2033 | 310.4282.4–337.8 | 256241.8–265.9 |
| 2034 | 308281.7–327.4 | 256.2241.2–267.9 |
| 2035 | 311.2284.9–333 | 256.7243.3–266.7 |
| 2036 | 312.8285.7–334.5 | 256.2242.4–266.7 |
| 2037 | 315.5291.8–331.1 | 258.7245.9–268.4 |
| 2038 | 317.9296.3–333.9 | 260.3244.5–268.9 |
| 2039 | 314.1291.6–336 | 259244.4–268 |
| 2040 | 316.1292.9–334.6 | 258.3246.2–269.8 |
| 2041 | 315.4296.5–335.7 | 260.7244.8–271.2 |
| 2042 | 316290.7–336.6 | 260.3246.5–272.7 |
| 2043 | 314.8291.1–332.7 | 259246.6–270.5 |
| 2044 | 319.8289.7–337.5 | 261.2248.8–270.9 |
| 2045 | 318.6296.4–339 | 261.8248.7–272.9 |
| 2046 | 321.4295.7–337 | 264.8249.6–275.3 |
| 2047 | 324.6297.9–342.8 | 264.4249.8–275.3 |
| 2048 | 324.8304.4–341.1 | 264.2252.3–274.9 |
| 2049 | 324.2302.4–340.2 | 265.2252.8–275.6 |
| 2050 | 322.4299.7–339.6 | 263.9249.8–275.1 |
| 2051 | 326.1300.4–342 | 265.4252.1–275.1 |
| 2052 | 324301.5–342.8 | 266.3252.6–276.2 |
| 2053 | 325.6298–345.3 | 265.2251–275.4 |
| 2054 | 329.5301.3–345.1 | 265.2250.2–277.2 |
| 2055 | 324.4305.3–342.4 | 266.8251.6–277.6 |
| 2056 | 329.6299.4–349.4 | 266.2251.2–277.8 |
| 2057 | 332.4301.5–351 | 266.8253–278 |
| 2058 | 328.8305.6–347.6 | 266.7251.5–277.9 |
| 2059 | 330.3310.8–350.5 | 269.8254.7–280.5 |
| 2060 | 328.3309.4–348.2 | 271.1253.9–280.7 |
| 2061 | 330.5304.6–352.8 | 267.5253.9–281.7 |
| 2062 | 327.7307.3–346.5 | 268.1254–281.2 |
| 2063 | 333.4311–349.1 | 268.9255–280.1 |
| 2064 | 330.9310.6–351.6 | 270254.1–279.8 |
| 2065 | 331.4309.7–350.6 | 269.4255.8–282.3 |
| 2066 | 331.8312.3–347.4 | 270.6258.1–281 |
| 2067 | 329.1304–348.6 | 270.7256.1–283 |
| 2068 | 335.4309.6–354.5 | 270.2256–283 |
| 2069 | 333.5313–351.4 | 269.8256.1–283.3 |
| 2070 | 331.7310.9–352.7 | 270.1255.8–282.6 |
| 2071 | 334.6315.6–352.4 | 271.9257.9–284.4 |
| 2072 | 338.3317–353.2 | 273.5260.3–283.8 |
| 2073 | 334309.7–351.6 | 273.1259.9–285.4 |
| 2074 | 330.2310.6–352 | 271.9257.5–285.4 |
| 2075 | 334312–352.2 | 271.1256.5–284.7 |
| 2076 | 338.4321.3–352.1 | 274.1258.6–285.8 |
| 2077 | 341.4318.4–355.6 | 273.4259–286.6 |
| 2078 | 338.1316.6–355.8 | 273.1260–284.4 |
| 2079 | 337.5318.8–355.3 | 273.3258.7–286.6 |
| 2080 | 339.8315.4–358 | 275.5259.4–286.9 |
| 2081 | 339.3318.2–356.6 | 274.7259.8–285.6 |
| 2082 | 337.9316.1–353.3 | 274.8261.3–286.4 |
| 2083 | 339.2320.8–355.8 | 274259.6–289.3 |
| 2084 | 340.5321–354.6 | 276.8259–288.8 |
| 2085 | 343.8319.9–358.1 | 276.2261.5–289.1 |
| 2086 | 342.2318.7–358.7 | 275.1260–289.1 |
| 2087 | 340.7319.9–357.6 | 276.2260.3–288.5 |
| 2088 | 341.2318.3–354.9 | 276.8261.6–289.7 |
| 2089 | 337.9318.6–354.8 | 275.9260.3–288.8 |
| 2090 | 341.1315–356 | 275.3260.5–290.5 |
| 2091 | 339.7319.7–355.5 | 277.7260.4–290.9 |
| 2092 | 339.7320.4–356.8 | 276.2261.2–290.7 |
| 2093 | 341.8325.1–356.2 | 276.9262–290.1 |
| 2094 | 342.2324–356.4 | 277262.8–288.9 |
| 2095 | 340.7323.5–359.3 | 278.4262.3–290.4 |
| 2096 | 343.2324–359.7 | 277.6260.5–292 |
| 2097 | 340.3313.8–353.8 | 277261–290.2 |
| 2098 | 339.9318.8–357 | 277.6262.3–291.5 |
| 2099 | 341.5324.6–355.9 | 277.9260.8–292.4 |
| 2100 | 345.3319.6–357.9 | 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
几内亚与肯尼亚对比
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军用
- 军费开支几内亚:2025 年为 GDP 的 2.03%肯尼亚:2025 年为 GDP 的 1.07%
- 军费开支(美元)几内亚:2025 年为 US$5.86亿肯尼亚:2025 年为 US$13.6亿
- 人均军费开支几内亚:2025 年为 US$40肯尼亚:2025 年为 US$26
- 军费占政府支出比例几内亚:2025 年为 10.6%(占政府支出)肯尼亚:2025 年为 4.6%(占政府支出)
- 武装部队人员几内亚:2020 年为 13,000 人肯尼亚:2020 年为 24,000 人
- 国家实力几内亚:2022 年为 0.07%(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几内亚:2020 年为 0.32%(占劳动力)肯尼亚:2020 年为 0.11%(占劳动力)
- 武器进口几内亚:2025 年为 600万 TIV肯尼亚:2025 年为 1.17亿 TIV