菲律宾与越南对比
菲律宾与越南:热带夜
2014 年热带夜:菲律宾为 331.5 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 88.9 夜,是越南的 1.37 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 年菲律宾为 351.3 夜,越南为 282.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 菲律宾 | 越南 |
|---|---|---|
| 2014 | 331.5 | 242.6 |
| 2013 | 330.9 | 243.6 |
| 2012 | 331.1 | 242.4 |
| 2011 | 329.8 | 241.9 |
| 2010 | 330.6 | 240.9 |
| 2009 | 329 | 240 |
| 2008 | 327.5 | 238.7 |
| 2007 | 327.8 | 238 |
| 2006 | 328.7 | 239.1 |
| 2005 | 329.7 | 238.3 |
| 2004 | 329.4 | 241.8 |
| 2003 | 327.1 | 235.9 |
| 2002 | 328.9 | 236.3 |
| 2001 | 327.8 | 241.3 |
| 2000 | 326.8 | 237 |
| 1999 | 327.5 | 236 |
| 1998 | 326.5 | 236.8 |
| 1997 | 325.4 | 237.1 |
| 1996 | 324.6 | 231.4 |
| 1995 | 324.2 | 229.9 |
| 1994 | 321.5 | 231.2 |
| 1993 | 319.5 | 225.3 |
| 1992 | 318.4 | 221.9 |
| 1991 | 324.1 | 229.8 |
| 1990 | 323.5 | 233.1 |
| 1989 | 322.5 | 229.2 |
| 1988 | 324 | 231.7 |
| 1987 | 323.1 | 230.3 |
| 1986 | 322.1 | 230.9 |
| 1985 | 321.4 | 228 |
| 1984 | 321.7 | 230.2 |
| 1983 | 319.4 | 224.9 |
| 1982 | 320.5 | 227.5 |
| 1981 | 320.4 | 229.7 |
| 1980 | 322.7 | 228.1 |
| 1979 | 321.2 | 228.9 |
| 1978 | 320.6 | 227.5 |
| 1977 | 319.8 | 229 |
| 1976 | 319.6 | 225.8 |
| 1975 | 319.6 | 225.8 |
| 1974 | 320 | 225.7 |
| 1973 | 319.4 | 230.3 |
| 1972 | 318.9 | 225.6 |
| 1971 | 318.8 | 225.5 |
| 1970 | 319 | 226.1 |
| 1969 | 318.7 | 227 |
| 1968 | 317.2 | 227.1 |
| 1967 | 317.4 | 222.9 |
| 1966 | 318.8 | 226.8 |
| 1965 | 317.2 | 225.4 |
| 1964 | 314.9 | 222.6 |
| 1963 | 317.2 | 224.3 |
| 1962 | 318.6 | 227.8 |
| 1961 | 319.3 | 229.4 |
| 1960 | 318.6 | 228.5 |
| 1959 | 320.5 | 226.2 |
| 1958 | 321.8 | 230.9 |
| 1957 | 319.4 | 228.4 |
| 1956 | 320 | 228.7 |
| 1955 | 319.3 | 227.5 |
| 1954 | 317.7 | 226.3 |
| 1953 | 320 | 228.2 |
| 1952 | 319 | 228.5 |
| 1951 | 319.8 | 229.2 |
| 1950 | 320.4 | 228.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 菲律宾 | 越南 |
|---|---|---|
| 2015 | 333319.8–339.5 | 245.8228.2–261.9 |
| 2016 | 334.2322.8–340.7 | 243.7226.1–259.4 |
| 2017 | 333.4319.7–339.8 | 247229.6–260.7 |
| 2018 | 333.2320.1–340.1 | 248.3228.8–263.3 |
| 2019 | 334.1323.4–341.2 | 248.1229.2–262.8 |
| 2020 | 334.6322.6–341.8 | 248.8229.6–262.9 |
| 2021 | 335.6323.3–341.1 | 251.1233.1–266.7 |
| 2022 | 335.7323.3–342.1 | 252.4234.3–266.8 |
| 2023 | 336.7324.8–343.2 | 253.4235.4–266.6 |
| 2024 | 337.2325.7–343.9 | 251.3236.7–264.6 |
| 2025 | 336.3326.2–342.8 | 252.4234.1–266.2 |
| 2026 | 336.5322.9–343 | 252.8232.9–268.5 |
| 2027 | 336.2325.7–342.3 | 253.2237–268.8 |
| 2028 | 337.1325.5–343.8 | 254.3237.7–272 |
| 2029 | 338.1327.2–344.6 | 258.1238.5–273.7 |
| 2030 | 337.7326.2–344.4 | 256.4240.9–270.1 |
| 2031 | 337.1325.6–343.8 | 255.9241.2–270.9 |
| 2032 | 339.4329.5–346.1 | 257.4239.1–269.9 |
| 2033 | 339.7329.6–345.5 | 258.3241.7–273.2 |
| 2034 | 338.8328.8–345 | 258.8240.7–275.8 |
| 2035 | 338.6327.5–346.4 | 258.6242.5–275.4 |
| 2036 | 339.6327.8–346.9 | 258.3239.1–273.8 |
| 2037 | 339.8329.1–345.5 | 258.7242.4–272.4 |
| 2038 | 341.9330.7–347.7 | 263.4247.6–277.3 |
| 2039 | 341.2330.4–346.9 | 260.2243.7–275.9 |
| 2040 | 340.4328.1–347.6 | 260.1242.8–274.8 |
| 2041 | 341.1329.1–346.7 | 263.1245.9–279 |
| 2042 | 342331.4–347.7 | 263.6246.5–279 |
| 2043 | 341.3329–348.1 | 261.4245.5–279.6 |
| 2044 | 342.8329.9–349.8 | 263.2245.2–277.6 |
| 2045 | 343.4333.8–348.7 | 265.5249.6–281.4 |
| 2046 | 342.7330.2–348.7 | 264.9246.8–278.1 |
| 2047 | 343.2331.7–350.6 | 266.9250.4–282.9 |
| 2048 | 343.3332.7–350.6 | 268250.5–283.8 |
| 2049 | 343.2332.5–349.5 | 267.8251.2–284.8 |
| 2050 | 344.3332.6–349.9 | 268251.2–283.5 |
| 2051 | 344.4334.9–350.8 | 270.9254.3–285.4 |
| 2052 | 344.1333.5–350.9 | 268.3253.3–282.8 |
| 2053 | 344.3333.6–350.3 | 268.5250.1–283.2 |
| 2054 | 343.4332–349.9 | 269.1250.8–283.6 |
| 2055 | 344.3334.4–350.5 | 270249.8–284.2 |
| 2056 | 345334.6–352.6 | 271.7254.8–290.1 |
| 2057 | 345.5335.1–351.5 | 270253–285.7 |
| 2058 | 345.8334.3–351.3 | 270.7252.9–286.5 |
| 2059 | 345.5333.7–351.6 | 273257.6–286.6 |
| 2060 | 346.8335.5–353.5 | 275.7255.6–290.6 |
| 2061 | 345.9335–351.8 | 273.5254.6–289.5 |
| 2062 | 346335.2–353.5 | 271.4253.1–290.2 |
| 2063 | 346.6336.2–352.8 | 272.9252.7–288.1 |
| 2064 | 346.9335.3–353 | 273.8254.4–288.1 |
| 2065 | 346.1335.9–351.9 | 272255.8–286.3 |
| 2066 | 346.5335.4–352.4 | 271.8254.4–287.3 |
| 2067 | 346.1335.4–352 | 270.8252.1–287.6 |
| 2068 | 347.1335.1–354.1 | 275.6256.9–292.4 |
| 2069 | 347333.8–353.6 | 276.4258.5–292 |
| 2070 | 346.7336.1–352.7 | 274.6257.8–292.8 |
| 2071 | 347.6336.2–353.9 | 276.2255.2–294.1 |
| 2072 | 347334.4–353.8 | 277256.8–291.4 |
| 2073 | 348.4336.7–355 | 278.5262.7–293.4 |
| 2074 | 348.6337–354.9 | 277.6259.2–295.8 |
| 2075 | 347.9337.2–354 | 276.4258.7–294.4 |
| 2076 | 348.4337–355.1 | 279.2258.5–296.6 |
| 2077 | 348.7337–354.8 | 280264.9–294.7 |
| 2078 | 348.4338.2–354.7 | 278.4258.6–295.5 |
| 2079 | 348.8337.6–354.7 | 279.3263.4–293.6 |
| 2080 | 349.1338.4–355.9 | 280261.4–296.5 |
| 2081 | 348.8336.9–355.1 | 280.4261.2–297.9 |
| 2082 | 349.6338–354.9 | 280.9258.9–296 |
| 2083 | 349.9337.9–356.1 | 278.4261.6–295 |
| 2084 | 349.5336.7–356.4 | 279257.4–293.8 |
| 2085 | 349.1338.2–355.4 | 281.3265–297.8 |
| 2086 | 349.4337.5–354.9 | 282.3260.2–297.5 |
| 2087 | 349.7338.7–356 | 281.9261.3–300.7 |
| 2088 | 349.9338.9–356.1 | 283.1265.7–301.5 |
| 2089 | 350.2339.8–355.2 | 280.8261.2–301.6 |
| 2090 | 350.1339.7–355.9 | 280.5264.5–297.6 |
| 2091 | 349.5339.5–356.3 | 283.3264.3–298.9 |
| 2092 | 350.5339.3–356.1 | 281.1261.5–299.4 |
| 2093 | 350.4337.9–356.5 | 280.5263.4–296.1 |
| 2094 | 350.5338.4–355.9 | 283264.5–300 |
| 2095 | 350.5338.3–355.7 | 285.5264.5–302.9 |
| 2096 | 351.1339–358 | 281.8264.8–299.8 |
| 2097 | 350.2339.3–355.6 | 281.5263.3–299 |
| 2098 | 350.3337.4–355.2 | 282.5263.9–301.5 |
| 2099 | 350.6339.3–356.4 | 282.7265.1–298 |
| 2100 | 351.3340.2–356.3 | 282.7261–298.2 |
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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
菲律宾与越南对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支菲律宾:2025 年为 GDP 的 1.3%越南:2025 年为 GDP 的 2.15%
- 军费开支(美元)菲律宾:2025 年为 US$63亿越南:2025 年为 US$109亿
- 人均军费开支菲律宾:2025 年为 US$55越南:2025 年为 US$104
- 军费占政府支出比例菲律宾:2025 年为 5.4%(占政府支出)越南:2025 年为 9.9%(占政府支出)
- 武装部队人员菲律宾:2020 年为 157,000 人越南:2020 年为 522,000 人
- 国家实力菲律宾:2022 年为 0.68%(占全球实力)越南:2022 年为 1.11%(占全球实力)
- 武装部队占劳动力比例菲律宾:2020 年为 0.37%(占劳动力)越南:2020 年为 0.95%(占劳动力)
- 武器进口菲律宾:2025 年为 8.46亿 TIV越南:2025 年为 1.77亿 TIV
- 武器出口菲律宾:2007 年为 400万 TIV越南:2018 年为 1000万 TIV