孟加拉国与尼泊尔对比
孟加拉国与尼泊尔:35 °C 以上天数
2014 年35 °C 以上天数:孟加拉国为 19.4 天,尼泊尔为 9.6 天(CMIP6 气候模型中位数模拟)。 2014 年孟加拉国的数值较高,高出 9.8 天,是尼泊尔的 2.01 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,尼泊尔为 20.6 天。
逐年数据
每年天数 · CMIP6
| 年份 | 孟加拉国 | 尼泊尔 |
|---|---|---|
| 2014 | 19.4 | 9.6 |
| 2013 | 14.1 | 9.8 |
| 2012 | 17 | 10.7 |
| 2011 | 13.4 | 8.5 |
| 2010 | 16.9 | 10.1 |
| 2009 | 14.4 | 8.7 |
| 2008 | 14 | 8.6 |
| 2007 | 14.3 | 10 |
| 2006 | 17.8 | 9.8 |
| 2005 | 16.1 | 9.9 |
| 2004 | 14.7 | 9 |
| 2003 | 15.9 | 8.7 |
| 2002 | 17.7 | 10.7 |
| 2001 | 16.9 | 9.5 |
| 2000 | 16.6 | 9.4 |
| 1999 | 15.6 | 10.2 |
| 1998 | 15.4 | 8.7 |
| 1997 | 16.8 | 9.3 |
| 1996 | 14.2 | 7.6 |
| 1995 | 13.2 | 8.1 |
| 1994 | 15.2 | 8.7 |
| 1993 | 12.4 | 7.5 |
| 1992 | 8 | 5.6 |
| 1991 | 18.8 | 10.2 |
| 1990 | 18.5 | 9.4 |
| 1989 | 13.7 | 9 |
| 1988 | 13.5 | 8 |
| 1987 | 17.9 | 9 |
| 1986 | 17.9 | 9.1 |
| 1985 | 14.4 | 9.1 |
| 1984 | 19 | 8.6 |
| 1983 | 14.6 | 8.7 |
| 1982 | 16.3 | 9.1 |
| 1981 | 15.4 | 9.1 |
| 1980 | 14.5 | 8.4 |
| 1979 | 16.7 | 8.5 |
| 1978 | 15 | 8.4 |
| 1977 | 14.1 | 9.1 |
| 1976 | 17.5 | 10 |
| 1975 | 14.4 | 9.3 |
| 1974 | 17.3 | 9.7 |
| 1973 | 17 | 8.8 |
| 1972 | 15.7 | 8 |
| 1971 | 16.9 | 9.1 |
| 1970 | 16.5 | 9.5 |
| 1969 | 15.5 | 8.6 |
| 1968 | 16.2 | 8.2 |
| 1967 | 13.5 | 7.6 |
| 1966 | 15.6 | 10.1 |
| 1965 | 15.4 | 8.8 |
| 1964 | 14.7 | 7.5 |
| 1963 | 16.1 | 9 |
| 1962 | 19.1 | 9.4 |
| 1961 | 18 | 9.5 |
| 1960 | 19.2 | 9.6 |
| 1959 | 18 | 10.3 |
| 1958 | 17.5 | 9.7 |
| 1957 | 18.1 | 9.1 |
| 1956 | 19.2 | 9.6 |
| 1955 | 16.9 | 8.5 |
| 1954 | 19.4 | 9.6 |
| 1953 | 21 | 9.9 |
| 1952 | 17.2 | 9.8 |
| 1951 | 19.9 | 9.1 |
| 1950 | 22.3 | 10.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 孟加拉国 | 尼泊尔 |
|---|---|---|
| 2015 | 17.85.5–30.2 | 9.75.4–15.7 |
| 2016 | 17.53.9–31.5 | 10.14.9–15.1 |
| 2017 | 14.14.8–29 | 9.53.2–14.1 |
| 2018 | 13.92–31 | 10.23–15.4 |
| 2019 | 14.93.9–28 | 9.34.9–14.3 |
| 2020 | 14.94.1–36.3 | 10.46.4–15.8 |
| 2021 | 17.25.6–33 | 9.54.4–14.6 |
| 2022 | 17.21.4–36.6 | 103.2–15.5 |
| 2023 | 18.16.6–32.2 | 10.56.5–16.1 |
| 2024 | 21.24.9–36.6 | 11.76.1–17.5 |
| 2025 | 16.73.9–36.8 | 10.15.3–16.2 |
| 2026 | 18.36.7–34 | 10.96.6–16.9 |
| 2027 | 18.33.5–38.2 | 11.15.3–16.4 |
| 2028 | 18.64.2–33.2 | 10.64.7–16 |
| 2029 | 18.22.2–34.9 | 11.32.6–18.5 |
| 2030 | 174.6–31.3 | 10.64.7–16.3 |
| 2031 | 153.9–32.1 | 10.35.7–16.2 |
| 2032 | 19.33.2–34.3 | 10.93.1–17.6 |
| 2033 | 17.53.9–32 | 10.56.6–15.5 |
| 2034 | 16.24–29.3 | 10.65.5–16.7 |
| 2035 | 16.26.6–31.6 | 10.16.2–17.2 |
| 2036 | 17.76.3–36.6 | 10.35.3–16.5 |
| 2037 | 20.65.7–39.1 | 11.96.5–18.9 |
| 2038 | 21.96.6–38.5 | 12.26.1–19.6 |
| 2039 | 21.45.1–43.2 | 11.25.2–17.6 |
| 2040 | 22.86–48.8 | 11.64.8–18.8 |
| 2041 | 19.44.7–44.5 | 12.87.1–19 |
| 2042 | 22.86.3–50.6 | 13.68–21 |
| 2043 | 25.17.2–47 | 13.78.5–19.1 |
| 2044 | 24.77.9–45 | 14.19.3–19.9 |
| 2045 | 24.110–42.5 | 12.68.5–19.2 |
| 2046 | 28.57.8–55.7 | 13.27.3–21.8 |
| 2047 | 26.47.4–50.6 | 13.57.1–19.9 |
| 2048 | 30.28–52.9 | 14.77.3–21.7 |
| 2049 | 29.511.3–54.1 | 157.7–21.5 |
| 2050 | 26.810.4–47.8 | 13.87.5–21.6 |
| 2051 | 32.713.4–54.3 | 14.99.3–20 |
| 2052 | 29.313–59.8 | 13.89.9–21.8 |
| 2053 | 26.79.4–54.9 | 13.97.9–20.4 |
| 2054 | 29.910.9–57.7 | 14.37.1–21.9 |
| 2055 | 34.613.5–60.8 | 16.47.9–22.7 |
| 2056 | 34.215.2–59 | 14.38.7–20.4 |
| 2057 | 3912.3–72.8 | 14.38.3–22.1 |
| 2058 | 38.917–69.9 | 16.29.8–23.8 |
| 2059 | 35.914.6–66 | 169.6–25.9 |
| 2060 | 36.818.6–65.3 | 16.711.4–23.9 |
| 2061 | 38.919.6–65.9 | 16.110.2–22.2 |
| 2062 | 35.115.8–63.8 | 1611.2–22.6 |
| 2063 | 42.114.5–66.9 | 179.4–24.4 |
| 2064 | 37.317–62.7 | 15.710.4–23.7 |
| 2065 | 35.618.5–60.2 | 17.38.7–25.6 |
| 2066 | 35.812.3–64.7 | 16.18.9–23.7 |
| 2067 | 32.612.9–61.8 | 16.19–23.3 |
| 2068 | 40.717.5–76.4 | 18.110.9–27.1 |
| 2069 | 43.915.7–73.3 | 17.89–24.6 |
| 2070 | 33.714.7–63 | 15.49–23.1 |
| 2071 | 42.817.7–73.9 | 189.9–25.6 |
| 2072 | 42.718.2–68.1 | 18.711.4–24.7 |
| 2073 | 44.423.8–82.3 | 18.312.5–26.8 |
| 2074 | 4214.1–71.6 | 17.79.8–25.5 |
| 2075 | 41.515.2–70.1 | 17.210.7–24.6 |
| 2076 | 39.914.1–81.2 | 17.69.5–26.9 |
| 2077 | 42.723.6–83.6 | 19.711.7–27.1 |
| 2078 | 44.424.7–79.2 | 18.710.8–25.6 |
| 2079 | 43.923.1–74.7 | 18.58.9–25.4 |
| 2080 | 52.224.5–83 | 2011.3–28.1 |
| 2081 | 50.628.6–83 | 20.113.6–28.4 |
| 2082 | 49.322.9–92.1 | 19.510.7–28.5 |
| 2083 | 49.218.9–88.7 | 19.512.1–28.8 |
| 2084 | 50.421.6–92.6 | 2112.3–30.5 |
| 2085 | 49.920.5–104.5 | 19.910.6–30.8 |
| 2086 | 50.922.5–100.6 | 18.610.7–30.6 |
| 2087 | 53.125–82.1 | 2010.8–28.9 |
| 2088 | 46.314.7–108.4 | 18.59.8–30.8 |
| 2089 | 52.722.8–107.6 | 20.911.4–31.1 |
| 2090 | 55.216.3–89.2 | 20.111.8–28.7 |
| 2091 | 51.331.2–98 | 20.312.3–32.3 |
| 2092 | 55.422.1–101.2 | 20.810.6–32 |
| 2093 | 47.718.8–94.6 | 18.911.3–31.7 |
| 2094 | 51.225.3–87.3 | 2011.7–28.1 |
| 2095 | 57.624.4–95.1 | 21.413.1–30.4 |
| 2096 | 50.820–91.8 | 20.510.1–29.6 |
| 2097 | 48.923.7–96 | 18.811.8–26.9 |
| 2098 | 52.926.4–94.7 | 19.911.5–29.3 |
| 2099 | 48.722.9–82 | 20.713.7–29.2 |
| 2100 | 56.822.9–95.8 | 20.613.4–29.3 |
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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
孟加拉国与尼泊尔对比
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军用
- 军费开支孟加拉国:2025 年为 GDP 的 0.81%尼泊尔:2025 年为 GDP 的 0.97%
- 军费开支(美元)孟加拉国:2025 年为 US$36.7亿尼泊尔:2025 年为 US$4.29亿
- 人均军费开支孟加拉国:2025 年为 US$22尼泊尔:2025 年为 US$14
- 军费占政府支出比例孟加拉国:2025 年为 7.1%(占政府支出)尼泊尔:2025 年为 4.5%(占政府支出)
- 武装部队人员孟加拉国:2020 年为 227,000 人尼泊尔:2020 年为 112,000 人
- 国家实力孟加拉国:2022 年为 1.01%(占全球实力)尼泊尔:2022 年为 0.18%(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)尼泊尔:2020 年为 1.4%(占劳动力)
- 武器进口孟加拉国:2025 年为 3200万 TIV尼泊尔:2025 年为 600万 TIV