孟加拉国与菲律宾对比
孟加拉国与菲律宾:热带夜
2014 年热带夜:孟加拉国为 239.9 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 91.6 夜,是孟加拉国的 1.38 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 年孟加拉国为 269.8 夜,菲律宾为 351.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 孟加拉国 | 菲律宾 |
|---|---|---|
| 2014 | 239.9 | 331.5 |
| 2013 | 239 | 330.9 |
| 2012 | 240.4 | 331.1 |
| 2011 | 240.5 | 329.8 |
| 2010 | 241 | 330.6 |
| 2009 | 238.6 | 329 |
| 2008 | 236.7 | 327.5 |
| 2007 | 236.9 | 327.8 |
| 2006 | 238.9 | 328.7 |
| 2005 | 238.2 | 329.7 |
| 2004 | 238.7 | 329.4 |
| 2003 | 236.5 | 327.1 |
| 2002 | 237.6 | 328.9 |
| 2001 | 237.2 | 327.8 |
| 2000 | 239.3 | 326.8 |
| 1999 | 236.6 | 327.5 |
| 1998 | 235.5 | 326.5 |
| 1997 | 235.5 | 325.4 |
| 1996 | 235.5 | 324.6 |
| 1995 | 234.8 | 324.2 |
| 1994 | 233.6 | 321.5 |
| 1993 | 232.2 | 319.5 |
| 1992 | 228 | 318.4 |
| 1991 | 233.4 | 324.1 |
| 1990 | 234.6 | 323.5 |
| 1989 | 235.7 | 322.5 |
| 1988 | 235.1 | 324 |
| 1987 | 236.4 | 323.1 |
| 1986 | 233.8 | 322.1 |
| 1985 | 233.6 | 321.4 |
| 1984 | 236 | 321.7 |
| 1983 | 230 | 319.4 |
| 1982 | 232.3 | 320.5 |
| 1981 | 235.9 | 320.4 |
| 1980 | 233.4 | 322.7 |
| 1979 | 234.5 | 321.2 |
| 1978 | 231.8 | 320.6 |
| 1977 | 232.3 | 319.8 |
| 1976 | 232 | 319.6 |
| 1975 | 231.3 | 319.6 |
| 1974 | 232.9 | 320 |
| 1973 | 232.1 | 319.4 |
| 1972 | 234.3 | 318.9 |
| 1971 | 233.1 | 318.8 |
| 1970 | 232.5 | 319 |
| 1969 | 231.1 | 318.7 |
| 1968 | 229.7 | 317.2 |
| 1967 | 231.6 | 317.4 |
| 1966 | 232.6 | 318.8 |
| 1965 | 232.5 | 317.2 |
| 1964 | 229.3 | 314.9 |
| 1963 | 233.8 | 317.2 |
| 1962 | 231.9 | 318.6 |
| 1961 | 236.2 | 319.3 |
| 1960 | 232.5 | 318.6 |
| 1959 | 234.7 | 320.5 |
| 1958 | 233.5 | 321.8 |
| 1957 | 232.5 | 319.4 |
| 1956 | 234.3 | 320 |
| 1955 | 230.2 | 319.3 |
| 1954 | 232.9 | 317.7 |
| 1953 | 234 | 320 |
| 1952 | 230.3 | 319 |
| 1951 | 233.5 | 319.8 |
| 1950 | 233.9 | 320.4 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 孟加拉国 | 菲律宾 |
|---|---|---|
| 2015 | 241.2227–252.4 | 333319.8–339.5 |
| 2016 | 237.9226.6–249.3 | 334.2322.8–340.7 |
| 2017 | 239.8227.5–249.4 | 333.4319.7–339.8 |
| 2018 | 242.6227–255 | 333.2320.1–340.1 |
| 2019 | 241.2228.5–251.9 | 334.1323.4–341.2 |
| 2020 | 242.6229.3–254.4 | 334.6322.6–341.8 |
| 2021 | 244.3230.4–254.4 | 335.6323.3–341.1 |
| 2022 | 243.8231.5–254.2 | 335.7323.3–342.1 |
| 2023 | 243.5229.2–254.5 | 336.7324.8–343.2 |
| 2024 | 245.7231.4–257.1 | 337.2325.7–343.9 |
| 2025 | 242.5229.4–253.9 | 336.3326.2–342.8 |
| 2026 | 243.9227.9–258.1 | 336.5322.9–343 |
| 2027 | 247.1232.8–259.3 | 336.2325.7–342.3 |
| 2028 | 244.2232.2–254.4 | 337.1325.5–343.8 |
| 2029 | 247.3232.7–261.5 | 338.1327.2–344.6 |
| 2030 | 243.9232.3–255.2 | 337.7326.2–344.4 |
| 2031 | 245.1232.9–262.3 | 337.1325.6–343.8 |
| 2032 | 247.6236.6–257.8 | 339.4329.5–346.1 |
| 2033 | 245.3231.7–256.6 | 339.7329.6–345.5 |
| 2034 | 246.3233.2–260.4 | 338.8328.8–345 |
| 2035 | 246.4234.1–260.9 | 338.6327.5–346.4 |
| 2036 | 246.2228.6–260.4 | 339.6327.8–346.9 |
| 2037 | 247.7235.4–260.2 | 339.8329.1–345.5 |
| 2038 | 249232.1–261 | 341.9330.7–347.7 |
| 2039 | 250234.4–262.7 | 341.2330.4–346.9 |
| 2040 | 248.9235.5–260.5 | 340.4328.1–347.6 |
| 2041 | 248.3235.6–261.9 | 341.1329.1–346.7 |
| 2042 | 252.5237.8–265.3 | 342331.4–347.7 |
| 2043 | 250.8234.7–263.4 | 341.3329–348.1 |
| 2044 | 251.8239.1–265.2 | 342.8329.9–349.8 |
| 2045 | 250.3239.1–265.6 | 343.4333.8–348.7 |
| 2046 | 252.7238.9–267.8 | 342.7330.2–348.7 |
| 2047 | 253.9239.4–267.1 | 343.2331.7–350.6 |
| 2048 | 254.4242.7–270.5 | 343.3332.7–350.6 |
| 2049 | 253.7241.5–266.4 | 343.2332.5–349.5 |
| 2050 | 254.6242.5–269.2 | 344.3332.6–349.9 |
| 2051 | 254.7242.7–270.1 | 344.4334.9–350.8 |
| 2052 | 252.3240.2–264.6 | 344.1333.5–350.9 |
| 2053 | 256.9244–272.4 | 344.3333.6–350.3 |
| 2054 | 255.9243.5–269.4 | 343.4332–349.9 |
| 2055 | 255.2243.8–273.6 | 344.3334.4–350.5 |
| 2056 | 259.1243.6–274.7 | 345334.6–352.6 |
| 2057 | 257.5243.8–273.7 | 345.5335.1–351.5 |
| 2058 | 257.4245.6–274.2 | 345.8334.3–351.3 |
| 2059 | 258.3246.4–271.8 | 345.5333.7–351.6 |
| 2060 | 259.2246.1–272.6 | 346.8335.5–353.5 |
| 2061 | 257.7244.8–270.1 | 345.9335–351.8 |
| 2062 | 260.4246.4–274.2 | 346335.2–353.5 |
| 2063 | 259.9241.3–272.7 | 346.6336.2–352.8 |
| 2064 | 260.2245.9–273.1 | 346.9335.3–353 |
| 2065 | 259.8244.1–274.7 | 346.1335.9–351.9 |
| 2066 | 260246.6–274.6 | 346.5335.4–352.4 |
| 2067 | 261.4246.4–272.3 | 346.1335.4–352 |
| 2068 | 260.1245.8–274.8 | 347.1335.1–354.1 |
| 2069 | 263.3249.8–276.6 | 347333.8–353.6 |
| 2070 | 259.6245.8–272.6 | 346.7336.1–352.7 |
| 2071 | 262.2248.7–283.4 | 347.6336.2–353.9 |
| 2072 | 259.8248.6–276 | 347334.4–353.8 |
| 2073 | 264.1246.6–277.2 | 348.4336.7–355 |
| 2074 | 262.6248.3–276.6 | 348.6337–354.9 |
| 2075 | 263.6248.5–277.7 | 347.9337.2–354 |
| 2076 | 261.6251–276.9 | 348.4337–355.1 |
| 2077 | 264251.1–279.8 | 348.7337–354.8 |
| 2078 | 265251.6–281.6 | 348.4338.2–354.7 |
| 2079 | 263.8248.5–277.2 | 348.8337.6–354.7 |
| 2080 | 266.8251.9–280.3 | 349.1338.4–355.9 |
| 2081 | 266.5250.7–279.9 | 348.8336.9–355.1 |
| 2082 | 264249.6–277.3 | 349.6338–354.9 |
| 2083 | 266.6251.8–282.8 | 349.9337.9–356.1 |
| 2084 | 264.8253.1–284.2 | 349.5336.7–356.4 |
| 2085 | 265.4251.2–283.4 | 349.1338.2–355.4 |
| 2086 | 268.2252.8–285.3 | 349.4337.5–354.9 |
| 2087 | 265.7251.3–280.8 | 349.7338.7–356 |
| 2088 | 267.2252.6–284.4 | 349.9338.9–356.1 |
| 2089 | 267.1252.5–286.7 | 350.2339.8–355.2 |
| 2090 | 267.9254.9–283.4 | 350.1339.7–355.9 |
| 2091 | 267.7254.5–282.2 | 349.5339.5–356.3 |
| 2092 | 268.8253.6–281.7 | 350.5339.3–356.1 |
| 2093 | 268.1251.7–287 | 350.4337.9–356.5 |
| 2094 | 267.4251.3–287.4 | 350.5338.4–355.9 |
| 2095 | 270.8253.7–284.9 | 350.5338.3–355.7 |
| 2096 | 267.9250.5–285.8 | 351.1339–358 |
| 2097 | 269.3254.9–287.3 | 350.2339.3–355.6 |
| 2098 | 268.8252.4–284.9 | 350.3337.4–355.2 |
| 2099 | 269253–282.3 | 350.6339.3–356.4 |
| 2100 | 269.8254.8–284.9 | 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
孟加拉国与菲律宾对比
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军用
- 军费开支孟加拉国:2025 年为 GDP 的 0.81%菲律宾:2025 年为 GDP 的 1.3%
- 军费开支(美元)孟加拉国:2025 年为 US$36.7亿菲律宾:2025 年为 US$63亿
- 人均军费开支孟加拉国:2025 年为 US$22菲律宾:2025 年为 US$55
- 军费占政府支出比例孟加拉国:2025 年为 7.1%(占政府支出)菲律宾:2025 年为 5.4%(占政府支出)
- 武装部队人员孟加拉国:2020 年为 227,000 人菲律宾:2020 年为 157,000 人
- 国家实力孟加拉国:2022 年为 1.01%(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孟加拉国:2020 年为 0.32%(占劳动力)菲律宾:2020 年为 0.37%(占劳动力)
- 武器进口孟加拉国:2025 年为 3200万 TIV菲律宾:2025 年为 8.46亿 TIV
- 武器出口孟加拉国:1984 年为 200万 TIV菲律宾:2007 年为 400万 TIV