肯尼亚与缅甸对比
肯尼亚与缅甸:热带夜
2014 年热带夜:肯尼亚为 245.6 夜,缅甸为 201.9 夜(CMIP6 气候模型中位数模拟)。 2014 年肯尼亚的数值较高,高出 43.7 夜,是缅甸的 1.22 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 年肯尼亚为 277 夜,缅甸为 244.5 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 肯尼亚 | 缅甸 |
|---|---|---|
| 2014 | 245.6 | 201.9 |
| 2013 | 245.4 | 203.1 |
| 2012 | 244.7 | 201.1 |
| 2011 | 245 | 200.9 |
| 2010 | 243.8 | 202.1 |
| 2009 | 242.3 | 199 |
| 2008 | 240.3 | 198.1 |
| 2007 | 240.9 | 196.8 |
| 2006 | 241.5 | 198.2 |
| 2005 | 241.2 | 196.7 |
| 2004 | 241.8 | 200.3 |
| 2003 | 240.8 | 195.3 |
| 2002 | 240.7 | 196.6 |
| 2001 | 242 | 199 |
| 2000 | 239.5 | 197.2 |
| 1999 | 237.8 | 196.4 |
| 1998 | 239.2 | 194.7 |
| 1997 | 236.9 | 194.4 |
| 1996 | 234.2 | 191.4 |
| 1995 | 232.9 | 189.9 |
| 1994 | 231.9 | 188.8 |
| 1993 | 227.4 | 185 |
| 1992 | 224.8 | 180.5 |
| 1991 | 233.8 | 191.7 |
| 1990 | 236.4 | 191.5 |
| 1989 | 234.5 | 190.3 |
| 1988 | 233.1 | 190.7 |
| 1987 | 232.6 | 190.8 |
| 1986 | 233 | 189.7 |
| 1985 | 228.7 | 187.4 |
| 1984 | 230.2 | 189.1 |
| 1983 | 226.7 | 182.3 |
| 1982 | 230.6 | 186.7 |
| 1981 | 232.9 | 188.4 |
| 1980 | 231.3 | 189 |
| 1979 | 229.6 | 189.8 |
| 1978 | 228.7 | 186.8 |
| 1977 | 229.9 | 187.4 |
| 1976 | 227.8 | 185.8 |
| 1975 | 225.9 | 183.6 |
| 1974 | 230.5 | 185.5 |
| 1973 | 230.4 | 187.5 |
| 1972 | 228.7 | 184.8 |
| 1971 | 226 | 185.2 |
| 1970 | 226.3 | 184.9 |
| 1969 | 225.9 | 184.3 |
| 1968 | 222.9 | 183.7 |
| 1967 | 224 | 182.3 |
| 1966 | 225.2 | 186.2 |
| 1965 | 224.2 | 182.9 |
| 1964 | 221.8 | 180.6 |
| 1963 | 220.2 | 183.1 |
| 1962 | 227.2 | 187.3 |
| 1961 | 228.3 | 188.7 |
| 1960 | 228.8 | 187.1 |
| 1959 | 228.3 | 186.5 |
| 1958 | 229.1 | 187.1 |
| 1957 | 228 | 186.2 |
| 1956 | 225.5 | 187.9 |
| 1955 | 228.7 | 185.9 |
| 1954 | 227.4 | 185.7 |
| 1953 | 227.6 | 185 |
| 1952 | 228.5 | 186.1 |
| 1951 | 228.3 | 187.1 |
| 1950 | 226.3 | 186.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 肯尼亚 | 缅甸 |
|---|---|---|
| 2015 | 246.9232.3–256.1 | 205.2186.4–218.9 |
| 2016 | 244.9230.1–255 | 202.8186.2–218.8 |
| 2017 | 248.1233.1–257.7 | 203.4187.3–218.3 |
| 2018 | 248.7237–257.4 | 205.5190.9–219.9 |
| 2019 | 247.1234.8–256.7 | 205.2186.7–222.2 |
| 2020 | 248.6233.2–259.2 | 208.2188.5–223.5 |
| 2021 | 249.5236.3–258.1 | 208.9191.2–224.1 |
| 2022 | 251.5239.7–259.5 | 209.9192.7–224.9 |
| 2023 | 251.8239–260.8 | 210.6195.4–226.3 |
| 2024 | 254.2239.1–263 | 210.4193.8–226.6 |
| 2025 | 251.5238.1–261.8 | 209.9190.3–225.2 |
| 2026 | 252.2237.2–263.3 | 212.2194.3–229.2 |
| 2027 | 252.8238.4–263.8 | 212195.6–228.6 |
| 2028 | 254.9241.9–264.2 | 213195.7–227.2 |
| 2029 | 256243.4–264.6 | 215.3193.9–231.9 |
| 2030 | 253.6240.6–263.1 | 212.2194.9–228 |
| 2031 | 256244.7–264.4 | 214.3197.2–230.8 |
| 2032 | 257243.8–267.1 | 215199.3–229.6 |
| 2033 | 256241.8–265.9 | 215.5198.5–230.1 |
| 2034 | 256.2241.2–267.9 | 214.9198.4–233.5 |
| 2035 | 256.7243.3–266.7 | 214.9199.2–236.8 |
| 2036 | 256.2242.4–266.7 | 216198.7–234.5 |
| 2037 | 258.7245.9–268.4 | 217.2199.6–233.5 |
| 2038 | 260.3244.5–268.9 | 220.7204.8–235.1 |
| 2039 | 259244.4–268 | 219.7202.4–234.3 |
| 2040 | 258.3246.2–269.8 | 219.2202.9–235 |
| 2041 | 260.7244.8–271.2 | 220.7203.9–237.7 |
| 2042 | 260.3246.5–272.7 | 221.8206.1–237.2 |
| 2043 | 259246.6–270.5 | 219.5201.2–237.1 |
| 2044 | 261.2248.8–270.9 | 221.4201.6–239.6 |
| 2045 | 261.8248.7–272.9 | 223.7204.8–241.5 |
| 2046 | 264.8249.6–275.3 | 223.2203.2–240.2 |
| 2047 | 264.4249.8–275.3 | 224.3204.8–241.1 |
| 2048 | 264.2252.3–274.9 | 226.4207.7–243.8 |
| 2049 | 265.2252.8–275.6 | 226.5205.6–242.8 |
| 2050 | 263.9249.8–275.1 | 227209.3–243.5 |
| 2051 | 265.4252.1–275.1 | 229.6212.4–246.4 |
| 2052 | 266.3252.6–276.2 | 227.2208.6–244.2 |
| 2053 | 265.2251–275.4 | 227.9208.7–247.7 |
| 2054 | 265.2250.2–277.2 | 227.9209.6–244.8 |
| 2055 | 266.8251.6–277.6 | 229.1209.8–247.5 |
| 2056 | 266.2251.2–277.8 | 231.8210.4–252.1 |
| 2057 | 266.8253–278 | 228.6208–249 |
| 2058 | 266.7251.5–277.9 | 228.9208.8–249 |
| 2059 | 269.8254.7–280.5 | 230.7212.1–247.5 |
| 2060 | 271.1253.9–280.7 | 234.7211.1–251.5 |
| 2061 | 267.5253.9–281.7 | 231.9213–247.7 |
| 2062 | 268.1254–281.2 | 233.6209.9–252.8 |
| 2063 | 268.9255–280.1 | 233215.4–250.5 |
| 2064 | 270254.1–279.8 | 233.2214.4–251.3 |
| 2065 | 269.4255.8–282.3 | 230.7210.4–250.7 |
| 2066 | 270.6258.1–281 | 233.5214.3–251.2 |
| 2067 | 270.7256.1–283 | 233211.5–253.3 |
| 2068 | 270.2256–283 | 233.1212.4–253.7 |
| 2069 | 269.8256.1–283.3 | 236.1214.6–253.4 |
| 2070 | 270.1255.8–282.6 | 235.9218.1–253.4 |
| 2071 | 271.9257.9–284.4 | 235.1213.5–259.6 |
| 2072 | 273.5260.3–283.8 | 234.6216.1–252.6 |
| 2073 | 273.1259.9–285.4 | 237.2219.3–257.2 |
| 2074 | 271.9257.5–285.4 | 236.4215.7–254.5 |
| 2075 | 271.1256.5–284.7 | 236.7214.4–255.9 |
| 2076 | 274.1258.6–285.8 | 237.7216–257 |
| 2077 | 273.4259–286.6 | 237.5219–258.7 |
| 2078 | 273.1260–284.4 | 238.5217.3–257.8 |
| 2079 | 273.3258.7–286.6 | 238.5219.2–257.2 |
| 2080 | 275.5259.4–286.9 | 240.5218.8–258.3 |
| 2081 | 274.7259.8–285.6 | 240219.7–260.9 |
| 2082 | 274.8261.3–286.4 | 239.4217.1–258.8 |
| 2083 | 274259.6–289.3 | 239.1220.5–259.2 |
| 2084 | 276.8259–288.8 | 241.3218.9–260.6 |
| 2085 | 276.2261.5–289.1 | 241.7218.8–260.7 |
| 2086 | 275.1260–289.1 | 241.7217.4–262.7 |
| 2087 | 276.2260.3–288.5 | 241.4220.5–260.9 |
| 2088 | 276.8261.6–289.7 | 241.8222.3–261.5 |
| 2089 | 275.9260.3–288.8 | 240.7221.2–262.6 |
| 2090 | 275.3260.5–290.5 | 241.3224.4–260.9 |
| 2091 | 277.7260.4–290.9 | 242.6220.3–262.5 |
| 2092 | 276.2261.2–290.7 | 241.9221.6–263.3 |
| 2093 | 276.9262–290.1 | 242.1220.2–260 |
| 2094 | 277262.8–288.9 | 242.5222.5–261.9 |
| 2095 | 278.4262.3–290.4 | 244.9224–264.4 |
| 2096 | 277.6260.5–292 | 243.9221.1–266.5 |
| 2097 | 277261–290.2 | 243.6219.6–264.2 |
| 2098 | 277.6262.3–291.5 | 243.6222.5–263.9 |
| 2099 | 277.9260.8–292.4 | 244.7221.8–263.5 |
| 2100 | 277261.8–290.4 | 244.5223.2–261.8 |
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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
肯尼亚与缅甸对比
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军用
- 军费开支肯尼亚:2025 年为 GDP 的 1.07%缅甸:2024 年为 GDP 的 6.61%
- 军费开支(美元)肯尼亚:2025 年为 US$13.6亿缅甸:2024 年为 US$46.5亿
- 人均军费开支肯尼亚:2025 年为 US$26缅甸:2024 年为 US$92
- 军费占政府支出比例肯尼亚:2025 年为 4.6%(占政府支出)缅甸:2024 年为 32%(占政府支出)
- 武装部队人员肯尼亚:2020 年为 24,000 人缅甸:2020 年为 463,000 人
- 国家实力肯尼亚:2022 年为 0.23%(占全球实力)缅甸:2022 年为 0.53%(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)缅甸:2020 年为 1.94%(占劳动力)
- 武器进口肯尼亚:2025 年为 1.17亿 TIV缅甸:2025 年为 7000万 TIV