孟加拉国与埃及对比
孟加拉国与埃及:热带夜
2014 年热带夜:孟加拉国为 239.9 夜,埃及为 145 夜(CMIP6 气候模型中位数模拟)。 2014 年孟加拉国的数值较高,高出 94.9 夜,是埃及的 1.65 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,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 269.8 夜,埃及为 183.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 孟加拉国 | 埃及 |
|---|---|---|
| 2014 | 239.9 | 145 |
| 2013 | 239 | 145 |
| 2012 | 240.4 | 145.1 |
| 2011 | 240.5 | 144.7 |
| 2010 | 241 | 143.5 |
| 2009 | 238.6 | 140.2 |
| 2008 | 236.7 | 142.6 |
| 2007 | 236.9 | 140.5 |
| 2006 | 238.9 | 139.6 |
| 2005 | 238.2 | 140 |
| 2004 | 238.7 | 141.3 |
| 2003 | 236.5 | 141 |
| 2002 | 237.6 | 137.7 |
| 2001 | 237.2 | 139 |
| 2000 | 239.3 | 134.8 |
| 1999 | 236.6 | 135.5 |
| 1998 | 235.5 | 133 |
| 1997 | 235.5 | 134 |
| 1996 | 235.5 | 132.1 |
| 1995 | 234.8 | 130.2 |
| 1994 | 233.6 | 129.8 |
| 1993 | 232.2 | 123.6 |
| 1992 | 228 | 126.1 |
| 1991 | 233.4 | 129.7 |
| 1990 | 234.6 | 129.7 |
| 1989 | 235.7 | 126 |
| 1988 | 235.1 | 124.3 |
| 1987 | 236.4 | 125.8 |
| 1986 | 233.8 | 128.9 |
| 1985 | 233.6 | 125.7 |
| 1984 | 236 | 119.4 |
| 1983 | 230 | 119.4 |
| 1982 | 232.3 | 120.7 |
| 1981 | 235.9 | 122.6 |
| 1980 | 233.4 | 124.9 |
| 1979 | 234.5 | 119.2 |
| 1978 | 231.8 | 122.6 |
| 1977 | 232.3 | 121.3 |
| 1976 | 232 | 123.2 |
| 1975 | 231.3 | 121.9 |
| 1974 | 232.9 | 123.1 |
| 1973 | 232.1 | 123.5 |
| 1972 | 234.3 | 120.1 |
| 1971 | 233.1 | 120.7 |
| 1970 | 232.5 | 119.7 |
| 1969 | 231.1 | 118.3 |
| 1968 | 229.7 | 119.4 |
| 1967 | 231.6 | 116.2 |
| 1966 | 232.6 | 116.1 |
| 1965 | 232.5 | 112.9 |
| 1964 | 229.3 | 116.4 |
| 1963 | 233.8 | 120.2 |
| 1962 | 231.9 | 118.9 |
| 1961 | 236.2 | 118.7 |
| 1960 | 232.5 | 123.6 |
| 1959 | 234.7 | 123.2 |
| 1958 | 233.5 | 120.7 |
| 1957 | 232.5 | 122.4 |
| 1956 | 234.3 | 122.7 |
| 1955 | 230.2 | 119.4 |
| 1954 | 232.9 | 120.8 |
| 1953 | 234 | 121.3 |
| 1952 | 230.3 | 120.7 |
| 1951 | 233.5 | 121.2 |
| 1950 | 233.9 | 118.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 孟加拉国 | 埃及 |
|---|---|---|
| 2015 | 241.2227–252.4 | 149.6131.4–164.2 |
| 2016 | 237.9226.6–249.3 | 147.7133.5–160.2 |
| 2017 | 239.8227.5–249.4 | 150.8134.8–163.2 |
| 2018 | 242.6227–255 | 147.4133.4–165.6 |
| 2019 | 241.2228.5–251.9 | 149.6132.7–164 |
| 2020 | 242.6229.3–254.4 | 150.8136.4–164.7 |
| 2021 | 244.3230.4–254.4 | 152.1137.8–168.1 |
| 2022 | 243.8231.5–254.2 | 154138.1–170.6 |
| 2023 | 243.5229.2–254.5 | 154.4139–168.4 |
| 2024 | 245.7231.4–257.1 | 155.8141.7–168.5 |
| 2025 | 242.5229.4–253.9 | 154.5139.6–168.1 |
| 2026 | 243.9227.9–258.1 | 155.1144.5–165.9 |
| 2027 | 247.1232.8–259.3 | 154.2139.5–166.3 |
| 2028 | 244.2232.2–254.4 | 154.5141.8–168.6 |
| 2029 | 247.3232.7–261.5 | 156.3139.9–169.5 |
| 2030 | 243.9232.3–255.2 | 156.3143.1–169.1 |
| 2031 | 245.1232.9–262.3 | 155.5141.5–171.2 |
| 2032 | 247.6236.6–257.8 | 158.3144.6–170.4 |
| 2033 | 245.3231.7–256.6 | 159.9143.8–172.9 |
| 2034 | 246.3233.2–260.4 | 159.8144.9–173.2 |
| 2035 | 246.4234.1–260.9 | 163.5146.6–175.8 |
| 2036 | 246.2228.6–260.4 | 156.2143.7–170.6 |
| 2037 | 247.7235.4–260.2 | 158.8142.9–173.8 |
| 2038 | 249232.1–261 | 164.9146.1–177.8 |
| 2039 | 250234.4–262.7 | 161.8146.1–180.1 |
| 2040 | 248.9235.5–260.5 | 161.6147.9–176.5 |
| 2041 | 248.3235.6–261.9 | 163.7149.4–177.3 |
| 2042 | 252.5237.8–265.3 | 166.5149.7–180.6 |
| 2043 | 250.8234.7–263.4 | 163.6150.3–176.8 |
| 2044 | 251.8239.1–265.2 | 162.2147–178 |
| 2045 | 250.3239.1–265.6 | 167.2152.5–181 |
| 2046 | 252.7238.9–267.8 | 166149–181.1 |
| 2047 | 253.9239.4–267.1 | 165.9151.8–181.5 |
| 2048 | 254.4242.7–270.5 | 167.2154.5–180.1 |
| 2049 | 253.7241.5–266.4 | 165.3148.7–177.9 |
| 2050 | 254.6242.5–269.2 | 170152.8–183 |
| 2051 | 254.7242.7–270.1 | 165.6152.7–179.5 |
| 2052 | 252.3240.2–264.6 | 167.3156–180.2 |
| 2053 | 256.9244–272.4 | 170.1153.6–183.8 |
| 2054 | 255.9243.5–269.4 | 169153.3–183 |
| 2055 | 255.2243.8–273.6 | 170.5153.5–183.3 |
| 2056 | 259.1243.6–274.7 | 168.3151.2–181.4 |
| 2057 | 257.5243.8–273.7 | 166.8150.7–185.3 |
| 2058 | 257.4245.6–274.2 | 171.8154.2–188.2 |
| 2059 | 258.3246.4–271.8 | 173.3157.8–188.6 |
| 2060 | 259.2246.1–272.6 | 170.5154.8–189.3 |
| 2061 | 257.7244.8–270.1 | 170.3155.1–184.6 |
| 2062 | 260.4246.4–274.2 | 172.1155.2–185.7 |
| 2063 | 259.9241.3–272.7 | 169.7152.8–182.6 |
| 2064 | 260.2245.9–273.1 | 172.3155.9–187.2 |
| 2065 | 259.8244.1–274.7 | 173.3159.7–189.9 |
| 2066 | 260246.6–274.6 | 170155–187.7 |
| 2067 | 261.4246.4–272.3 | 176.2161.5–190 |
| 2068 | 260.1245.8–274.8 | 174.6157.3–193.1 |
| 2069 | 263.3249.8–276.6 | 175.8158.8–191.7 |
| 2070 | 259.6245.8–272.6 | 173.3158.3–191.7 |
| 2071 | 262.2248.7–283.4 | 176.8158.1–194.7 |
| 2072 | 259.8248.6–276 | 177.6160.8–192.1 |
| 2073 | 264.1246.6–277.2 | 176159.2–189.3 |
| 2074 | 262.6248.3–276.6 | 171.9156.5–194.1 |
| 2075 | 263.6248.5–277.7 | 171.8157–191.9 |
| 2076 | 261.6251–276.9 | 177161–194.6 |
| 2077 | 264251.1–279.8 | 179.7157–194.1 |
| 2078 | 265251.6–281.6 | 178.4161–195 |
| 2079 | 263.8248.5–277.2 | 178.2160.2–193.7 |
| 2080 | 266.8251.9–280.3 | 178.5163–193.3 |
| 2081 | 266.5250.7–279.9 | 177.2160–192.8 |
| 2082 | 264249.6–277.3 | 178.8164.5–193.3 |
| 2083 | 266.6251.8–282.8 | 180.6164.4–195.7 |
| 2084 | 264.8253.1–284.2 | 181.4162.4–197.8 |
| 2085 | 265.4251.2–283.4 | 178.8163–196.7 |
| 2086 | 268.2252.8–285.3 | 181.9166.6–198.8 |
| 2087 | 265.7251.3–280.8 | 178156.4–194.3 |
| 2088 | 267.2252.6–284.4 | 177.8163.5–196 |
| 2089 | 267.1252.5–286.7 | 180.9163.5–198.9 |
| 2090 | 267.9254.9–283.4 | 179.9162.4–197.8 |
| 2091 | 267.7254.5–282.2 | 184.2165.1–198.9 |
| 2092 | 268.8253.6–281.7 | 180.3162.9–196.3 |
| 2093 | 268.1251.7–287 | 181.1166.1–198.2 |
| 2094 | 267.4251.3–287.4 | 185.4168–198.9 |
| 2095 | 270.8253.7–284.9 | 181.9165.5–197.3 |
| 2096 | 267.9250.5–285.8 | 183.1163.5–200.3 |
| 2097 | 269.3254.9–287.3 | 181.5165.4–198.9 |
| 2098 | 268.8252.4–284.9 | 181.7162.1–198.8 |
| 2099 | 269253–282.3 | 179.9164.2–197.8 |
| 2100 | 269.8254.8–284.9 | 183.4162.9–198.1 |
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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
孟加拉国与埃及对比
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军用
- 军费开支孟加拉国:2025 年为 GDP 的 0.81%埃及:2025 年为 GDP 的 0.61%
- 军费开支(美元)孟加拉国:2025 年为 US$36.7亿埃及:2025 年为 US$22.6亿
- 人均军费开支孟加拉国:2025 年为 US$22埃及:2025 年为 US$21
- 军费占政府支出比例孟加拉国:2025 年为 7.1%(占政府支出)埃及:2025 年为 2.5%(占政府支出)
- 武装部队人员孟加拉国:2020 年为 227,000 人埃及:2020 年为 836,000 人
- 国家实力孟加拉国:2022 年为 1.01%(占全球实力)埃及:2022 年为 1.18%(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)埃及:2020 年为 2.76%(占劳动力)
- 武器进口孟加拉国:2025 年为 3200万 TIV埃及:2025 年为 6.97亿 TIV
- 武器出口孟加拉国:1984 年为 200万 TIV埃及:2024 年为 200万 TIV