孟加拉国与美国对比
孟加拉国与美国:35 °C 以上天数
2014 年35 °C 以上天数:孟加拉国为 19.4 天,美国为 13.5 天(CMIP6 气候模型中位数模拟)。 2014 年孟加拉国的数值较高,高出 5.9 天,是美国的 1.44 倍。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,孟加拉国的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年孟加拉国为 56.8 天,美国为 32.3 天。
逐年数据
每年天数 · CMIP6
| 年份 | 孟加拉国 | 美国 |
|---|---|---|
| 2014 | 19.4 | 13.5 |
| 2013 | 14.1 | 13.1 |
| 2012 | 17 | 11.9 |
| 2011 | 13.4 | 10.9 |
| 2010 | 16.9 | 12.4 |
| 2009 | 14.4 | 11.8 |
| 2008 | 14 | 10.5 |
| 2007 | 14.3 | 10.7 |
| 2006 | 17.8 | 11 |
| 2005 | 16.1 | 10.9 |
| 2004 | 14.7 | 10.7 |
| 2003 | 15.9 | 10.5 |
| 2002 | 17.7 | 11.4 |
| 2001 | 16.9 | 11.6 |
| 2000 | 16.6 | 10.2 |
| 1999 | 15.6 | 10.1 |
| 1998 | 15.4 | 9.1 |
| 1997 | 16.8 | 9.3 |
| 1996 | 14.2 | 9.3 |
| 1995 | 13.2 | 9.4 |
| 1994 | 15.2 | 8.7 |
| 1993 | 12.4 | 7.3 |
| 1992 | 8 | 6.6 |
| 1991 | 18.8 | 9.1 |
| 1990 | 18.5 | 9.1 |
| 1989 | 13.7 | 8.6 |
| 1988 | 13.5 | 7.9 |
| 1987 | 17.9 | 8.3 |
| 1986 | 17.9 | 8.3 |
| 1985 | 14.4 | 8.6 |
| 1984 | 19 | 7.7 |
| 1983 | 14.6 | 6.3 |
| 1982 | 16.3 | 7.3 |
| 1981 | 15.4 | 8.8 |
| 1980 | 14.5 | 7.7 |
| 1979 | 16.7 | 8.1 |
| 1978 | 15 | 7.3 |
| 1977 | 14.1 | 7.5 |
| 1976 | 17.5 | 6.7 |
| 1975 | 14.4 | 7.2 |
| 1974 | 17.3 | 6.6 |
| 1973 | 17 | 7.4 |
| 1972 | 15.7 | 7.1 |
| 1971 | 16.9 | 7.4 |
| 1970 | 16.5 | 7.1 |
| 1969 | 15.5 | 8.5 |
| 1968 | 16.2 | 6.5 |
| 1967 | 13.5 | 7.6 |
| 1966 | 15.6 | 6.2 |
| 1965 | 15.4 | 6.7 |
| 1964 | 14.7 | 6.4 |
| 1963 | 16.1 | 7.3 |
| 1962 | 19.1 | 7.2 |
| 1961 | 18 | 7.8 |
| 1960 | 19.2 | 7.9 |
| 1959 | 18 | 8.6 |
| 1958 | 17.5 | 8.2 |
| 1957 | 18.1 | 7.5 |
| 1956 | 19.2 | 8.5 |
| 1955 | 16.9 | 7.3 |
| 1954 | 19.4 | 8.2 |
| 1953 | 21 | 8 |
| 1952 | 17.2 | 7.2 |
| 1951 | 19.9 | 7.2 |
| 1950 | 22.3 | 7.4 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 孟加拉国 | 美国 |
|---|---|---|
| 2015 | 17.85.5–30.2 | 157.7–24.6 |
| 2016 | 17.53.9–31.5 | 14.98.5–24.8 |
| 2017 | 14.14.8–29 | 15.17.6–25.2 |
| 2018 | 13.92–31 | 15.47.1–26 |
| 2019 | 14.93.9–28 | 15.88.3–27.5 |
| 2020 | 14.94.1–36.3 | 15.97.9–26.3 |
| 2021 | 17.25.6–33 | 16.98.1–28.6 |
| 2022 | 17.21.4–36.6 | 15.97.1–26.1 |
| 2023 | 18.16.6–32.2 | 16.88.1–30.2 |
| 2024 | 21.24.9–36.6 | 18.19–28 |
| 2025 | 16.73.9–36.8 | 18.28.4–31.3 |
| 2026 | 18.36.7–34 | 16.99.3–28.1 |
| 2027 | 18.33.5–38.2 | 189.3–32.1 |
| 2028 | 18.64.2–33.2 | 17.39–29.7 |
| 2029 | 18.22.2–34.9 | 19.19.1–32.3 |
| 2030 | 174.6–31.3 | 18.48.2–33.6 |
| 2031 | 153.9–32.1 | 18.59.7–28.7 |
| 2032 | 19.33.2–34.3 | 16.47.9–28.3 |
| 2033 | 17.53.9–32 | 2111.6–33.4 |
| 2034 | 16.24–29.3 | 18.59.5–29.5 |
| 2035 | 16.26.6–31.6 | 18.29.2–31.9 |
| 2036 | 17.76.3–36.6 | 20.49.9–33.2 |
| 2037 | 20.65.7–39.1 | 20.310.9–34.7 |
| 2038 | 21.96.6–38.5 | 20.611.3–33 |
| 2039 | 21.45.1–43.2 | 21.311–32.7 |
| 2040 | 22.86–48.8 | 21.712.2–33 |
| 2041 | 19.44.7–44.5 | 20.69.9–36.3 |
| 2042 | 22.86.3–50.6 | 23.512.6–37.1 |
| 2043 | 25.17.2–47 | 21.211.9–34.3 |
| 2044 | 24.77.9–45 | 21.411.3–36.7 |
| 2045 | 24.110–42.5 | 23.511.7–38.9 |
| 2046 | 28.57.8–55.7 | 23.312.9–37.9 |
| 2047 | 26.47.4–50.6 | 2514.3–40.5 |
| 2048 | 30.28–52.9 | 2312.1–37.8 |
| 2049 | 29.511.3–54.1 | 23.713.9–38.2 |
| 2050 | 26.810.4–47.8 | 24.612.7–38.7 |
| 2051 | 32.713.4–54.3 | 2613.5–40.8 |
| 2052 | 29.313–59.8 | 23.911.6–37.9 |
| 2053 | 26.79.4–54.9 | 24.312–39.2 |
| 2054 | 29.910.9–57.7 | 24.513.7–40.8 |
| 2055 | 34.613.5–60.8 | 25.911.9–42.5 |
| 2056 | 34.215.2–59 | 24.813.1–40.7 |
| 2057 | 3912.3–72.8 | 26.914.8–39.9 |
| 2058 | 38.917–69.9 | 26.412.8–44.4 |
| 2059 | 35.914.6–66 | 25.414.2–39.7 |
| 2060 | 36.818.6–65.3 | 25.112.3–41.8 |
| 2061 | 38.919.6–65.9 | 27.315.2–44.2 |
| 2062 | 35.115.8–63.8 | 28.312.9–46.9 |
| 2063 | 42.114.5–66.9 | 28.413.4–45.8 |
| 2064 | 37.317–62.7 | 25.914.1–41.9 |
| 2065 | 35.618.5–60.2 | 27.813.3–43.8 |
| 2066 | 35.812.3–64.7 | 27.715.4–42.8 |
| 2067 | 32.612.9–61.8 | 29.616.7–45.3 |
| 2068 | 40.717.5–76.4 | 28.714.9–44.1 |
| 2069 | 43.915.7–73.3 | 28.314.3–46.3 |
| 2070 | 33.714.7–63 | 28.113.9–46.1 |
| 2071 | 42.817.7–73.9 | 27.615–45.4 |
| 2072 | 42.718.2–68.1 | 2915.4–45 |
| 2073 | 44.423.8–82.3 | 27.612.8–46.8 |
| 2074 | 4214.1–71.6 | 3015.5–47.5 |
| 2075 | 41.515.2–70.1 | 29.214.2–49.8 |
| 2076 | 39.914.1–81.2 | 29.815.8–46.3 |
| 2077 | 42.723.6–83.6 | 29.917.5–48.3 |
| 2078 | 44.424.7–79.2 | 31.617–49.1 |
| 2079 | 43.923.1–74.7 | 31.717.1–48.8 |
| 2080 | 52.224.5–83 | 32.216.8–50.6 |
| 2081 | 50.628.6–83 | 31.316.8–48.8 |
| 2082 | 49.322.9–92.1 | 30.515.3–49.4 |
| 2083 | 49.218.9–88.7 | 3216.5–50.5 |
| 2084 | 50.421.6–92.6 | 30.816.5–49 |
| 2085 | 49.920.5–104.5 | 28.315.4–48 |
| 2086 | 50.922.5–100.6 | 32.717.4–52.1 |
| 2087 | 53.125–82.1 | 32.217.8–53.1 |
| 2088 | 46.314.7–108.4 | 31.117–49.9 |
| 2089 | 52.722.8–107.6 | 31.415.1–51.4 |
| 2090 | 55.216.3–89.2 | 33.918.7–52.2 |
| 2091 | 51.331.2–98 | 34.218.8–51.4 |
| 2092 | 55.422.1–101.2 | 32.815–52.7 |
| 2093 | 47.718.8–94.6 | 3217.4–52.4 |
| 2094 | 51.225.3–87.3 | 33.117.4–52.1 |
| 2095 | 57.624.4–95.1 | 34.219.1–50.8 |
| 2096 | 50.820–91.8 | 33.718.9–54.3 |
| 2097 | 48.923.7–96 | 32.614.4–54.6 |
| 2098 | 52.926.4–94.7 | 32.818.3–50.3 |
| 2099 | 48.722.9–82 | 32.318.7–51.5 |
| 2100 | 56.822.9–95.8 | 32.316.4–53.1 |
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须知
- 一年中最高气温超过 35 °C 的天数,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
孟加拉国与美国对比
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军用
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- 人均军费开支孟加拉国:2025 年为 US$22美国:2025 年为 US$2,755
- 军费占政府支出比例孟加拉国:2025 年为 7.1%(占政府支出)美国:2025 年为 8.3%(占政府支出)
- 武装部队人员孟加拉国:2020 年为 227,000 人美国:2020 年为 140万 人
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- 武装部队占劳动力比例孟加拉国:2020 年为 0.32%(占劳动力)美国:2020 年为 0.84%(占劳动力)
- 武器进口孟加拉国:2025 年为 3200万 TIV美国:2025 年为 7.45亿 TIV
- 武器出口孟加拉国:1984 年为 200万 TIV美国:2025 年为 140亿 TIV