缅甸与菲律宾对比
缅甸与菲律宾:热带夜
2014 年热带夜:缅甸为 201.9 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 129.6 夜,是缅甸的 1.64 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 年缅甸为 244.5 夜,菲律宾为 351.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 缅甸 | 菲律宾 |
|---|---|---|
| 2014 | 201.9 | 331.5 |
| 2013 | 203.1 | 330.9 |
| 2012 | 201.1 | 331.1 |
| 2011 | 200.9 | 329.8 |
| 2010 | 202.1 | 330.6 |
| 2009 | 199 | 329 |
| 2008 | 198.1 | 327.5 |
| 2007 | 196.8 | 327.8 |
| 2006 | 198.2 | 328.7 |
| 2005 | 196.7 | 329.7 |
| 2004 | 200.3 | 329.4 |
| 2003 | 195.3 | 327.1 |
| 2002 | 196.6 | 328.9 |
| 2001 | 199 | 327.8 |
| 2000 | 197.2 | 326.8 |
| 1999 | 196.4 | 327.5 |
| 1998 | 194.7 | 326.5 |
| 1997 | 194.4 | 325.4 |
| 1996 | 191.4 | 324.6 |
| 1995 | 189.9 | 324.2 |
| 1994 | 188.8 | 321.5 |
| 1993 | 185 | 319.5 |
| 1992 | 180.5 | 318.4 |
| 1991 | 191.7 | 324.1 |
| 1990 | 191.5 | 323.5 |
| 1989 | 190.3 | 322.5 |
| 1988 | 190.7 | 324 |
| 1987 | 190.8 | 323.1 |
| 1986 | 189.7 | 322.1 |
| 1985 | 187.4 | 321.4 |
| 1984 | 189.1 | 321.7 |
| 1983 | 182.3 | 319.4 |
| 1982 | 186.7 | 320.5 |
| 1981 | 188.4 | 320.4 |
| 1980 | 189 | 322.7 |
| 1979 | 189.8 | 321.2 |
| 1978 | 186.8 | 320.6 |
| 1977 | 187.4 | 319.8 |
| 1976 | 185.8 | 319.6 |
| 1975 | 183.6 | 319.6 |
| 1974 | 185.5 | 320 |
| 1973 | 187.5 | 319.4 |
| 1972 | 184.8 | 318.9 |
| 1971 | 185.2 | 318.8 |
| 1970 | 184.9 | 319 |
| 1969 | 184.3 | 318.7 |
| 1968 | 183.7 | 317.2 |
| 1967 | 182.3 | 317.4 |
| 1966 | 186.2 | 318.8 |
| 1965 | 182.9 | 317.2 |
| 1964 | 180.6 | 314.9 |
| 1963 | 183.1 | 317.2 |
| 1962 | 187.3 | 318.6 |
| 1961 | 188.7 | 319.3 |
| 1960 | 187.1 | 318.6 |
| 1959 | 186.5 | 320.5 |
| 1958 | 187.1 | 321.8 |
| 1957 | 186.2 | 319.4 |
| 1956 | 187.9 | 320 |
| 1955 | 185.9 | 319.3 |
| 1954 | 185.7 | 317.7 |
| 1953 | 185 | 320 |
| 1952 | 186.1 | 319 |
| 1951 | 187.1 | 319.8 |
| 1950 | 186.9 | 320.4 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 缅甸 | 菲律宾 |
|---|---|---|
| 2015 | 205.2186.4–218.9 | 333319.8–339.5 |
| 2016 | 202.8186.2–218.8 | 334.2322.8–340.7 |
| 2017 | 203.4187.3–218.3 | 333.4319.7–339.8 |
| 2018 | 205.5190.9–219.9 | 333.2320.1–340.1 |
| 2019 | 205.2186.7–222.2 | 334.1323.4–341.2 |
| 2020 | 208.2188.5–223.5 | 334.6322.6–341.8 |
| 2021 | 208.9191.2–224.1 | 335.6323.3–341.1 |
| 2022 | 209.9192.7–224.9 | 335.7323.3–342.1 |
| 2023 | 210.6195.4–226.3 | 336.7324.8–343.2 |
| 2024 | 210.4193.8–226.6 | 337.2325.7–343.9 |
| 2025 | 209.9190.3–225.2 | 336.3326.2–342.8 |
| 2026 | 212.2194.3–229.2 | 336.5322.9–343 |
| 2027 | 212195.6–228.6 | 336.2325.7–342.3 |
| 2028 | 213195.7–227.2 | 337.1325.5–343.8 |
| 2029 | 215.3193.9–231.9 | 338.1327.2–344.6 |
| 2030 | 212.2194.9–228 | 337.7326.2–344.4 |
| 2031 | 214.3197.2–230.8 | 337.1325.6–343.8 |
| 2032 | 215199.3–229.6 | 339.4329.5–346.1 |
| 2033 | 215.5198.5–230.1 | 339.7329.6–345.5 |
| 2034 | 214.9198.4–233.5 | 338.8328.8–345 |
| 2035 | 214.9199.2–236.8 | 338.6327.5–346.4 |
| 2036 | 216198.7–234.5 | 339.6327.8–346.9 |
| 2037 | 217.2199.6–233.5 | 339.8329.1–345.5 |
| 2038 | 220.7204.8–235.1 | 341.9330.7–347.7 |
| 2039 | 219.7202.4–234.3 | 341.2330.4–346.9 |
| 2040 | 219.2202.9–235 | 340.4328.1–347.6 |
| 2041 | 220.7203.9–237.7 | 341.1329.1–346.7 |
| 2042 | 221.8206.1–237.2 | 342331.4–347.7 |
| 2043 | 219.5201.2–237.1 | 341.3329–348.1 |
| 2044 | 221.4201.6–239.6 | 342.8329.9–349.8 |
| 2045 | 223.7204.8–241.5 | 343.4333.8–348.7 |
| 2046 | 223.2203.2–240.2 | 342.7330.2–348.7 |
| 2047 | 224.3204.8–241.1 | 343.2331.7–350.6 |
| 2048 | 226.4207.7–243.8 | 343.3332.7–350.6 |
| 2049 | 226.5205.6–242.8 | 343.2332.5–349.5 |
| 2050 | 227209.3–243.5 | 344.3332.6–349.9 |
| 2051 | 229.6212.4–246.4 | 344.4334.9–350.8 |
| 2052 | 227.2208.6–244.2 | 344.1333.5–350.9 |
| 2053 | 227.9208.7–247.7 | 344.3333.6–350.3 |
| 2054 | 227.9209.6–244.8 | 343.4332–349.9 |
| 2055 | 229.1209.8–247.5 | 344.3334.4–350.5 |
| 2056 | 231.8210.4–252.1 | 345334.6–352.6 |
| 2057 | 228.6208–249 | 345.5335.1–351.5 |
| 2058 | 228.9208.8–249 | 345.8334.3–351.3 |
| 2059 | 230.7212.1–247.5 | 345.5333.7–351.6 |
| 2060 | 234.7211.1–251.5 | 346.8335.5–353.5 |
| 2061 | 231.9213–247.7 | 345.9335–351.8 |
| 2062 | 233.6209.9–252.8 | 346335.2–353.5 |
| 2063 | 233215.4–250.5 | 346.6336.2–352.8 |
| 2064 | 233.2214.4–251.3 | 346.9335.3–353 |
| 2065 | 230.7210.4–250.7 | 346.1335.9–351.9 |
| 2066 | 233.5214.3–251.2 | 346.5335.4–352.4 |
| 2067 | 233211.5–253.3 | 346.1335.4–352 |
| 2068 | 233.1212.4–253.7 | 347.1335.1–354.1 |
| 2069 | 236.1214.6–253.4 | 347333.8–353.6 |
| 2070 | 235.9218.1–253.4 | 346.7336.1–352.7 |
| 2071 | 235.1213.5–259.6 | 347.6336.2–353.9 |
| 2072 | 234.6216.1–252.6 | 347334.4–353.8 |
| 2073 | 237.2219.3–257.2 | 348.4336.7–355 |
| 2074 | 236.4215.7–254.5 | 348.6337–354.9 |
| 2075 | 236.7214.4–255.9 | 347.9337.2–354 |
| 2076 | 237.7216–257 | 348.4337–355.1 |
| 2077 | 237.5219–258.7 | 348.7337–354.8 |
| 2078 | 238.5217.3–257.8 | 348.4338.2–354.7 |
| 2079 | 238.5219.2–257.2 | 348.8337.6–354.7 |
| 2080 | 240.5218.8–258.3 | 349.1338.4–355.9 |
| 2081 | 240219.7–260.9 | 348.8336.9–355.1 |
| 2082 | 239.4217.1–258.8 | 349.6338–354.9 |
| 2083 | 239.1220.5–259.2 | 349.9337.9–356.1 |
| 2084 | 241.3218.9–260.6 | 349.5336.7–356.4 |
| 2085 | 241.7218.8–260.7 | 349.1338.2–355.4 |
| 2086 | 241.7217.4–262.7 | 349.4337.5–354.9 |
| 2087 | 241.4220.5–260.9 | 349.7338.7–356 |
| 2088 | 241.8222.3–261.5 | 349.9338.9–356.1 |
| 2089 | 240.7221.2–262.6 | 350.2339.8–355.2 |
| 2090 | 241.3224.4–260.9 | 350.1339.7–355.9 |
| 2091 | 242.6220.3–262.5 | 349.5339.5–356.3 |
| 2092 | 241.9221.6–263.3 | 350.5339.3–356.1 |
| 2093 | 242.1220.2–260 | 350.4337.9–356.5 |
| 2094 | 242.5222.5–261.9 | 350.5338.4–355.9 |
| 2095 | 244.9224–264.4 | 350.5338.3–355.7 |
| 2096 | 243.9221.1–266.5 | 351.1339–358 |
| 2097 | 243.6219.6–264.2 | 350.2339.3–355.6 |
| 2098 | 243.6222.5–263.9 | 350.3337.4–355.2 |
| 2099 | 244.7221.8–263.5 | 350.6339.3–356.4 |
| 2100 | 244.5223.2–261.8 | 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
缅甸与菲律宾对比
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军用
- 军费开支缅甸:2024 年为 GDP 的 6.61%菲律宾:2025 年为 GDP 的 1.3%
- 军费开支(美元)缅甸:2024 年为 US$46.5亿菲律宾:2025 年为 US$63亿
- 人均军费开支缅甸:2024 年为 US$92菲律宾:2025 年为 US$55
- 军费占政府支出比例缅甸:2024 年为 32%(占政府支出)菲律宾:2025 年为 5.4%(占政府支出)
- 武装部队人员缅甸:2020 年为 463,000 人菲律宾:2020 年为 157,000 人
- 国家实力缅甸:2022 年为 0.53%(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缅甸:2020 年为 1.94%(占劳动力)菲律宾:2020 年为 0.37%(占劳动力)
- 武器进口缅甸:2025 年为 7000万 TIV菲律宾:2025 年为 8.46亿 TIV