孟加拉国与墨西哥对比
孟加拉国与墨西哥:热带夜
2014 年热带夜:孟加拉国为 239.9 夜,墨西哥为 103.7 夜(CMIP6 气候模型中位数模拟)。 2014 年孟加拉国的数值较高,高出 136.2 夜,是墨西哥的 2.31 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,墨西哥为 142.8 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 孟加拉国 | 墨西哥 |
|---|---|---|
| 2014 | 239.9 | 103.7 |
| 2013 | 239 | 103.9 |
| 2012 | 240.4 | 102.8 |
| 2011 | 240.5 | 102.9 |
| 2010 | 241 | 101.5 |
| 2009 | 238.6 | 101.8 |
| 2008 | 236.7 | 100.1 |
| 2007 | 236.9 | 99.1 |
| 2006 | 238.9 | 99.8 |
| 2005 | 238.2 | 99.5 |
| 2004 | 238.7 | 99.4 |
| 2003 | 236.5 | 98.3 |
| 2002 | 237.6 | 99.1 |
| 2001 | 237.2 | 98.7 |
| 2000 | 239.3 | 97.9 |
| 1999 | 236.6 | 96.6 |
| 1998 | 235.5 | 95.8 |
| 1997 | 235.5 | 95.9 |
| 1996 | 235.5 | 93.8 |
| 1995 | 234.8 | 92.7 |
| 1994 | 233.6 | 90.7 |
| 1993 | 232.2 | 89 |
| 1992 | 228 | 88.5 |
| 1991 | 233.4 | 93.4 |
| 1990 | 234.6 | 94.9 |
| 1989 | 235.7 | 93 |
| 1988 | 235.1 | 92.1 |
| 1987 | 236.4 | 92 |
| 1986 | 233.8 | 90.2 |
| 1985 | 233.6 | 90 |
| 1984 | 236 | 88 |
| 1983 | 230 | 86.7 |
| 1982 | 232.3 | 88.7 |
| 1981 | 235.9 | 91.5 |
| 1980 | 233.4 | 90.1 |
| 1979 | 234.5 | 90.8 |
| 1978 | 231.8 | 89 |
| 1977 | 232.3 | 89 |
| 1976 | 232 | 89.1 |
| 1975 | 231.3 | 86.8 |
| 1974 | 232.9 | 87.9 |
| 1973 | 232.1 | 88.6 |
| 1972 | 234.3 | 87.7 |
| 1971 | 233.1 | 86.8 |
| 1970 | 232.5 | 86.1 |
| 1969 | 231.1 | 87.5 |
| 1968 | 229.7 | 87.1 |
| 1967 | 231.6 | 86.7 |
| 1966 | 232.6 | 86.4 |
| 1965 | 232.5 | 84.9 |
| 1964 | 229.3 | 84.7 |
| 1963 | 233.8 | 87.1 |
| 1962 | 231.9 | 88 |
| 1961 | 236.2 | 89.5 |
| 1960 | 232.5 | 89.7 |
| 1959 | 234.7 | 89.6 |
| 1958 | 233.5 | 89.1 |
| 1957 | 232.5 | 89 |
| 1956 | 234.3 | 88.5 |
| 1955 | 230.2 | 88.2 |
| 1954 | 232.9 | 88.4 |
| 1953 | 234 | 88.6 |
| 1952 | 230.3 | 87.8 |
| 1951 | 233.5 | 89.4 |
| 1950 | 233.9 | 88.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 孟加拉国 | 墨西哥 |
|---|---|---|
| 2015 | 241.2227–252.4 | 106.192.9–118.4 |
| 2016 | 237.9226.6–249.3 | 107.695–120 |
| 2017 | 239.8227.5–249.4 | 108.696.3–119.7 |
| 2018 | 242.6227–255 | 10997.1–120.4 |
| 2019 | 241.2228.5–251.9 | 110.396.4–123 |
| 2020 | 242.6229.3–254.4 | 109.696.8–121.8 |
| 2021 | 244.3230.4–254.4 | 111.296.9–124.1 |
| 2022 | 243.8231.5–254.2 | 109.796–121.7 |
| 2023 | 243.5229.2–254.5 | 111.898.6–125.3 |
| 2024 | 245.7231.4–257.1 | 112.298.2–126.2 |
| 2025 | 242.5229.4–253.9 | 11298.8–125.8 |
| 2026 | 243.9227.9–258.1 | 113.999.5–126.4 |
| 2027 | 247.1232.8–259.3 | 112.999.5–128.3 |
| 2028 | 244.2232.2–254.4 | 115.2101.9–127.9 |
| 2029 | 247.3232.7–261.5 | 115.6101.9–127.9 |
| 2030 | 243.9232.3–255.2 | 115.9101.7–128.4 |
| 2031 | 245.1232.9–262.3 | 116.1100.9–129.9 |
| 2032 | 247.6236.6–257.8 | 116.1102.5–129.1 |
| 2033 | 245.3231.7–256.6 | 117.5102.5–131.1 |
| 2034 | 246.3233.2–260.4 | 117.2104.1–130.3 |
| 2035 | 246.4234.1–260.9 | 116.4103.1–130.3 |
| 2036 | 246.2228.6–260.4 | 117.8105.1–131 |
| 2037 | 247.7235.4–260.2 | 118.6104.3–131.7 |
| 2038 | 249232.1–261 | 121107.5–133.4 |
| 2039 | 250234.4–262.7 | 121.3107–135.6 |
| 2040 | 248.9235.5–260.5 | 121.9108.1–135.1 |
| 2041 | 248.3235.6–261.9 | 121.3105.3–134.6 |
| 2042 | 252.5237.8–265.3 | 122.7107.7–137.1 |
| 2043 | 250.8234.7–263.4 | 122.4108.1–137.5 |
| 2044 | 251.8239.1–265.2 | 121.9108–135.6 |
| 2045 | 250.3239.1–265.6 | 123.1108.8–139.2 |
| 2046 | 252.7238.9–267.8 | 123.8109.9–139.4 |
| 2047 | 253.9239.4–267.1 | 125.6111.9–139.4 |
| 2048 | 254.4242.7–270.5 | 126.3113–140.3 |
| 2049 | 253.7241.5–266.4 | 127111.2–140.8 |
| 2050 | 254.6242.5–269.2 | 128.1112.6–142.5 |
| 2051 | 254.7242.7–270.1 | 127.2113.4–140.8 |
| 2052 | 252.3240.2–264.6 | 126.2112.5–141.1 |
| 2053 | 256.9244–272.4 | 128.4111.5–142.7 |
| 2054 | 255.9243.5–269.4 | 128.1113.1–142.3 |
| 2055 | 255.2243.8–273.6 | 129114.4–144.7 |
| 2056 | 259.1243.6–274.7 | 129.5114.3–143.8 |
| 2057 | 257.5243.8–273.7 | 130.3113.5–145.9 |
| 2058 | 257.4245.6–274.2 | 128.8114.1–144.5 |
| 2059 | 258.3246.4–271.8 | 129.5114.5–144.5 |
| 2060 | 259.2246.1–272.6 | 131.4115.5–146.5 |
| 2061 | 257.7244.8–270.1 | 131.3118.4–146.8 |
| 2062 | 260.4246.4–274.2 | 130.8115.1–146.3 |
| 2063 | 259.9241.3–272.7 | 131.2115.6–147.9 |
| 2064 | 260.2245.9–273.1 | 132.2116.5–147.8 |
| 2065 | 259.8244.1–274.7 | 133.1115.8–148.6 |
| 2066 | 260246.6–274.6 | 133.3117.2–149.4 |
| 2067 | 261.4246.4–272.3 | 133.3117–150.3 |
| 2068 | 260.1245.8–274.8 | 134.6117.4–150.5 |
| 2069 | 263.3249.8–276.6 | 134.4117.8–150.9 |
| 2070 | 259.6245.8–272.6 | 134.2116.7–151.8 |
| 2071 | 262.2248.7–283.4 | 136.3120.8–152.7 |
| 2072 | 259.8248.6–276 | 137.2119.9–153.1 |
| 2073 | 264.1246.6–277.2 | 136.1119.1–153.6 |
| 2074 | 262.6248.3–276.6 | 136119.7–152.2 |
| 2075 | 263.6248.5–277.7 | 135.2118.5–151.8 |
| 2076 | 261.6251–276.9 | 136.3117.4–154.7 |
| 2077 | 264251.1–279.8 | 136.8119.6–152.8 |
| 2078 | 265251.6–281.6 | 137.1118.3–154.2 |
| 2079 | 263.8248.5–277.2 | 138.1121.3–157.1 |
| 2080 | 266.8251.9–280.3 | 137.6120.5–157.9 |
| 2081 | 266.5250.7–279.9 | 137.8120.7–154.7 |
| 2082 | 264249.6–277.3 | 138.7121.6–155.2 |
| 2083 | 266.6251.8–282.8 | 139.2119.3–158.8 |
| 2084 | 264.8253.1–284.2 | 140.3123.4–157.5 |
| 2085 | 265.4251.2–283.4 | 139.2120.9–157.2 |
| 2086 | 268.2252.8–285.3 | 139.8121–157.8 |
| 2087 | 265.7251.3–280.8 | 139.5121.5–157.4 |
| 2088 | 267.2252.6–284.4 | 141121.8–159.9 |
| 2089 | 267.1252.5–286.7 | 140.4121.7–158.9 |
| 2090 | 267.9254.9–283.4 | 141.2123–160.7 |
| 2091 | 267.7254.5–282.2 | 141.8123–161.6 |
| 2092 | 268.8253.6–281.7 | 141.3122.5–159.3 |
| 2093 | 268.1251.7–287 | 141.4124.3–161 |
| 2094 | 267.4251.3–287.4 | 142123.3–159.6 |
| 2095 | 270.8253.7–284.9 | 143.5124–160.7 |
| 2096 | 267.9250.5–285.8 | 142.3125–161.3 |
| 2097 | 269.3254.9–287.3 | 141.2123.2–160 |
| 2098 | 268.8252.4–284.9 | 142.2122.5–162 |
| 2099 | 269253–282.3 | 141.8122.4–160.7 |
| 2100 | 269.8254.8–284.9 | 142.8124.3–160.8 |
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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
孟加拉国与墨西哥对比
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军用
- 军费开支孟加拉国:2025 年为 GDP 的 0.81%墨西哥:2025 年为 GDP 的 0.74%
- 军费开支(美元)孟加拉国:2025 年为 US$36.7亿墨西哥:2025 年为 US$138亿
- 人均军费开支孟加拉国:2025 年为 US$22墨西哥:2025 年为 US$104
- 军费占政府支出比例孟加拉国:2025 年为 7.1%(占政府支出)墨西哥: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 人墨西哥:2020 年为 341,000 人
- 国家实力孟加拉国:2022 年为 1.01%(占全球实力)墨西哥:2022 年为 1.14%(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)墨西哥:2020 年为 0.64%(占劳动力)
- 武器进口孟加拉国:2025 年为 3200万 TIV墨西哥:2025 年为 900万 TIV
- 武器出口孟加拉国:1984 年为 200万 TIV墨西哥:2019 年为 100万 TIV