肯尼亚与菲律宾对比
肯尼亚与菲律宾:热带夜
2014 年热带夜:肯尼亚为 245.6 夜,菲律宾为 331.5 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 85.9 夜,是肯尼亚的 1.35 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,菲律宾的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年肯尼亚为 277 夜,菲律宾为 351.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 肯尼亚 | 菲律宾 |
|---|---|---|
| 2014 | 245.6 | 331.5 |
| 2013 | 245.4 | 330.9 |
| 2012 | 244.7 | 331.1 |
| 2011 | 245 | 329.8 |
| 2010 | 243.8 | 330.6 |
| 2009 | 242.3 | 329 |
| 2008 | 240.3 | 327.5 |
| 2007 | 240.9 | 327.8 |
| 2006 | 241.5 | 328.7 |
| 2005 | 241.2 | 329.7 |
| 2004 | 241.8 | 329.4 |
| 2003 | 240.8 | 327.1 |
| 2002 | 240.7 | 328.9 |
| 2001 | 242 | 327.8 |
| 2000 | 239.5 | 326.8 |
| 1999 | 237.8 | 327.5 |
| 1998 | 239.2 | 326.5 |
| 1997 | 236.9 | 325.4 |
| 1996 | 234.2 | 324.6 |
| 1995 | 232.9 | 324.2 |
| 1994 | 231.9 | 321.5 |
| 1993 | 227.4 | 319.5 |
| 1992 | 224.8 | 318.4 |
| 1991 | 233.8 | 324.1 |
| 1990 | 236.4 | 323.5 |
| 1989 | 234.5 | 322.5 |
| 1988 | 233.1 | 324 |
| 1987 | 232.6 | 323.1 |
| 1986 | 233 | 322.1 |
| 1985 | 228.7 | 321.4 |
| 1984 | 230.2 | 321.7 |
| 1983 | 226.7 | 319.4 |
| 1982 | 230.6 | 320.5 |
| 1981 | 232.9 | 320.4 |
| 1980 | 231.3 | 322.7 |
| 1979 | 229.6 | 321.2 |
| 1978 | 228.7 | 320.6 |
| 1977 | 229.9 | 319.8 |
| 1976 | 227.8 | 319.6 |
| 1975 | 225.9 | 319.6 |
| 1974 | 230.5 | 320 |
| 1973 | 230.4 | 319.4 |
| 1972 | 228.7 | 318.9 |
| 1971 | 226 | 318.8 |
| 1970 | 226.3 | 319 |
| 1969 | 225.9 | 318.7 |
| 1968 | 222.9 | 317.2 |
| 1967 | 224 | 317.4 |
| 1966 | 225.2 | 318.8 |
| 1965 | 224.2 | 317.2 |
| 1964 | 221.8 | 314.9 |
| 1963 | 220.2 | 317.2 |
| 1962 | 227.2 | 318.6 |
| 1961 | 228.3 | 319.3 |
| 1960 | 228.8 | 318.6 |
| 1959 | 228.3 | 320.5 |
| 1958 | 229.1 | 321.8 |
| 1957 | 228 | 319.4 |
| 1956 | 225.5 | 320 |
| 1955 | 228.7 | 319.3 |
| 1954 | 227.4 | 317.7 |
| 1953 | 227.6 | 320 |
| 1952 | 228.5 | 319 |
| 1951 | 228.3 | 319.8 |
| 1950 | 226.3 | 320.4 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 肯尼亚 | 菲律宾 |
|---|---|---|
| 2015 | 246.9232.3–256.1 | 333319.8–339.5 |
| 2016 | 244.9230.1–255 | 334.2322.8–340.7 |
| 2017 | 248.1233.1–257.7 | 333.4319.7–339.8 |
| 2018 | 248.7237–257.4 | 333.2320.1–340.1 |
| 2019 | 247.1234.8–256.7 | 334.1323.4–341.2 |
| 2020 | 248.6233.2–259.2 | 334.6322.6–341.8 |
| 2021 | 249.5236.3–258.1 | 335.6323.3–341.1 |
| 2022 | 251.5239.7–259.5 | 335.7323.3–342.1 |
| 2023 | 251.8239–260.8 | 336.7324.8–343.2 |
| 2024 | 254.2239.1–263 | 337.2325.7–343.9 |
| 2025 | 251.5238.1–261.8 | 336.3326.2–342.8 |
| 2026 | 252.2237.2–263.3 | 336.5322.9–343 |
| 2027 | 252.8238.4–263.8 | 336.2325.7–342.3 |
| 2028 | 254.9241.9–264.2 | 337.1325.5–343.8 |
| 2029 | 256243.4–264.6 | 338.1327.2–344.6 |
| 2030 | 253.6240.6–263.1 | 337.7326.2–344.4 |
| 2031 | 256244.7–264.4 | 337.1325.6–343.8 |
| 2032 | 257243.8–267.1 | 339.4329.5–346.1 |
| 2033 | 256241.8–265.9 | 339.7329.6–345.5 |
| 2034 | 256.2241.2–267.9 | 338.8328.8–345 |
| 2035 | 256.7243.3–266.7 | 338.6327.5–346.4 |
| 2036 | 256.2242.4–266.7 | 339.6327.8–346.9 |
| 2037 | 258.7245.9–268.4 | 339.8329.1–345.5 |
| 2038 | 260.3244.5–268.9 | 341.9330.7–347.7 |
| 2039 | 259244.4–268 | 341.2330.4–346.9 |
| 2040 | 258.3246.2–269.8 | 340.4328.1–347.6 |
| 2041 | 260.7244.8–271.2 | 341.1329.1–346.7 |
| 2042 | 260.3246.5–272.7 | 342331.4–347.7 |
| 2043 | 259246.6–270.5 | 341.3329–348.1 |
| 2044 | 261.2248.8–270.9 | 342.8329.9–349.8 |
| 2045 | 261.8248.7–272.9 | 343.4333.8–348.7 |
| 2046 | 264.8249.6–275.3 | 342.7330.2–348.7 |
| 2047 | 264.4249.8–275.3 | 343.2331.7–350.6 |
| 2048 | 264.2252.3–274.9 | 343.3332.7–350.6 |
| 2049 | 265.2252.8–275.6 | 343.2332.5–349.5 |
| 2050 | 263.9249.8–275.1 | 344.3332.6–349.9 |
| 2051 | 265.4252.1–275.1 | 344.4334.9–350.8 |
| 2052 | 266.3252.6–276.2 | 344.1333.5–350.9 |
| 2053 | 265.2251–275.4 | 344.3333.6–350.3 |
| 2054 | 265.2250.2–277.2 | 343.4332–349.9 |
| 2055 | 266.8251.6–277.6 | 344.3334.4–350.5 |
| 2056 | 266.2251.2–277.8 | 345334.6–352.6 |
| 2057 | 266.8253–278 | 345.5335.1–351.5 |
| 2058 | 266.7251.5–277.9 | 345.8334.3–351.3 |
| 2059 | 269.8254.7–280.5 | 345.5333.7–351.6 |
| 2060 | 271.1253.9–280.7 | 346.8335.5–353.5 |
| 2061 | 267.5253.9–281.7 | 345.9335–351.8 |
| 2062 | 268.1254–281.2 | 346335.2–353.5 |
| 2063 | 268.9255–280.1 | 346.6336.2–352.8 |
| 2064 | 270254.1–279.8 | 346.9335.3–353 |
| 2065 | 269.4255.8–282.3 | 346.1335.9–351.9 |
| 2066 | 270.6258.1–281 | 346.5335.4–352.4 |
| 2067 | 270.7256.1–283 | 346.1335.4–352 |
| 2068 | 270.2256–283 | 347.1335.1–354.1 |
| 2069 | 269.8256.1–283.3 | 347333.8–353.6 |
| 2070 | 270.1255.8–282.6 | 346.7336.1–352.7 |
| 2071 | 271.9257.9–284.4 | 347.6336.2–353.9 |
| 2072 | 273.5260.3–283.8 | 347334.4–353.8 |
| 2073 | 273.1259.9–285.4 | 348.4336.7–355 |
| 2074 | 271.9257.5–285.4 | 348.6337–354.9 |
| 2075 | 271.1256.5–284.7 | 347.9337.2–354 |
| 2076 | 274.1258.6–285.8 | 348.4337–355.1 |
| 2077 | 273.4259–286.6 | 348.7337–354.8 |
| 2078 | 273.1260–284.4 | 348.4338.2–354.7 |
| 2079 | 273.3258.7–286.6 | 348.8337.6–354.7 |
| 2080 | 275.5259.4–286.9 | 349.1338.4–355.9 |
| 2081 | 274.7259.8–285.6 | 348.8336.9–355.1 |
| 2082 | 274.8261.3–286.4 | 349.6338–354.9 |
| 2083 | 274259.6–289.3 | 349.9337.9–356.1 |
| 2084 | 276.8259–288.8 | 349.5336.7–356.4 |
| 2085 | 276.2261.5–289.1 | 349.1338.2–355.4 |
| 2086 | 275.1260–289.1 | 349.4337.5–354.9 |
| 2087 | 276.2260.3–288.5 | 349.7338.7–356 |
| 2088 | 276.8261.6–289.7 | 349.9338.9–356.1 |
| 2089 | 275.9260.3–288.8 | 350.2339.8–355.2 |
| 2090 | 275.3260.5–290.5 | 350.1339.7–355.9 |
| 2091 | 277.7260.4–290.9 | 349.5339.5–356.3 |
| 2092 | 276.2261.2–290.7 | 350.5339.3–356.1 |
| 2093 | 276.9262–290.1 | 350.4337.9–356.5 |
| 2094 | 277262.8–288.9 | 350.5338.4–355.9 |
| 2095 | 278.4262.3–290.4 | 350.5338.3–355.7 |
| 2096 | 277.6260.5–292 | 351.1339–358 |
| 2097 | 277261–290.2 | 350.2339.3–355.6 |
| 2098 | 277.6262.3–291.5 | 350.3337.4–355.2 |
| 2099 | 277.9260.8–292.4 | 350.6339.3–356.4 |
| 2100 | 277261.8–290.4 | 351.3340.2–356.3 |
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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
肯尼亚与菲律宾对比
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冲突
军用
- 军费开支肯尼亚:2025 年为 GDP 的 1.07%菲律宾:2025 年为 GDP 的 1.3%
- 军费开支(美元)肯尼亚:2025 年为 US$13.6亿菲律宾:2025 年为 US$63亿
- 人均军费开支肯尼亚:2025 年为 US$26菲律宾:2025 年为 US$55
- 军费占政府支出比例肯尼亚:2025 年为 4.6%(占政府支出)菲律宾:2025 年为 5.4%(占政府支出)
- 武装部队人员肯尼亚:2020 年为 24,000 人菲律宾:2020 年为 157,000 人
- 国家实力肯尼亚:2022 年为 0.23%(占全球实力)菲律宾:2022 年为 0.68%(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)菲律宾:2020 年为 0.37%(占劳动力)
- 武器进口肯尼亚:2025 年为 1.17亿 TIV菲律宾:2025 年为 8.46亿 TIV
- 武器出口肯尼亚:1993 年为 200万 TIV菲律宾:2007 年为 400万 TIV