孟加拉国与尼日利亚对比
孟加拉国与尼日利亚:热带夜
2014 年热带夜:孟加拉国为 239.9 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 64 夜,是孟加拉国的 1.27 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,尼日利亚的数值都更高。
- 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,尼日利亚为 332.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 孟加拉国 | 尼日利亚 |
|---|---|---|
| 2014 | 239.9 | 303.9 |
| 2013 | 239 | 299.5 |
| 2012 | 240.4 | 304.4 |
| 2011 | 240.5 | 301.5 |
| 2010 | 241 | 301.4 |
| 2009 | 238.6 | 297.8 |
| 2008 | 236.7 | 297.4 |
| 2007 | 236.9 | 298 |
| 2006 | 238.9 | 297.2 |
| 2005 | 238.2 | 295.4 |
| 2004 | 238.7 | 294.1 |
| 2003 | 236.5 | 298.4 |
| 2002 | 237.6 | 295.2 |
| 2001 | 237.2 | 299.1 |
| 2000 | 239.3 | 293.9 |
| 1999 | 236.6 | 290.3 |
| 1998 | 235.5 | 289.9 |
| 1997 | 235.5 | 292.5 |
| 1996 | 235.5 | 290 |
| 1995 | 234.8 | 289.1 |
| 1994 | 233.6 | 287.4 |
| 1993 | 232.2 | 284 |
| 1992 | 228 | 281.6 |
| 1991 | 233.4 | 289.1 |
| 1990 | 234.6 | 290.6 |
| 1989 | 235.7 | 287.2 |
| 1988 | 235.1 | 288 |
| 1987 | 236.4 | 285.6 |
| 1986 | 233.8 | 289.1 |
| 1985 | 233.6 | 284.2 |
| 1984 | 236 | 284.4 |
| 1983 | 230 | 281.9 |
| 1982 | 232.3 | 283.5 |
| 1981 | 235.9 | 286.4 |
| 1980 | 233.4 | 282.8 |
| 1979 | 234.5 | 283 |
| 1978 | 231.8 | 282.8 |
| 1977 | 232.3 | 285.9 |
| 1976 | 232 | 281.7 |
| 1975 | 231.3 | 280.4 |
| 1974 | 232.9 | 280.7 |
| 1973 | 232.1 | 284.3 |
| 1972 | 234.3 | 284.1 |
| 1971 | 233.1 | 279.3 |
| 1970 | 232.5 | 282 |
| 1969 | 231.1 | 278.7 |
| 1968 | 229.7 | 279.6 |
| 1967 | 231.6 | 278.1 |
| 1966 | 232.6 | 279.4 |
| 1965 | 232.5 | 279 |
| 1964 | 229.3 | 276.8 |
| 1963 | 233.8 | 275.1 |
| 1962 | 231.9 | 284.1 |
| 1961 | 236.2 | 281.9 |
| 1960 | 232.5 | 285.9 |
| 1959 | 234.7 | 282.8 |
| 1958 | 233.5 | 281.4 |
| 1957 | 232.5 | 283.3 |
| 1956 | 234.3 | 280.8 |
| 1955 | 230.2 | 280.4 |
| 1954 | 232.9 | 284.1 |
| 1953 | 234 | 280.4 |
| 1952 | 230.3 | 280.8 |
| 1951 | 233.5 | 284.2 |
| 1950 | 233.9 | 279.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 孟加拉国 | 尼日利亚 |
|---|---|---|
| 2015 | 241.2227–252.4 | 301.7282.9–317.3 |
| 2016 | 237.9226.6–249.3 | 301.4280.8–312.5 |
| 2017 | 239.8227.5–249.4 | 302.5284.3–316.3 |
| 2018 | 242.6227–255 | 302.2286.8–316.5 |
| 2019 | 241.2228.5–251.9 | 300.1281.2–318 |
| 2020 | 242.6229.3–254.4 | 303283.7–318.5 |
| 2021 | 244.3230.4–254.4 | 305.1287.1–318.4 |
| 2022 | 243.8231.5–254.2 | 305.1286–319.5 |
| 2023 | 243.5229.2–254.5 | 305286.4–318.9 |
| 2024 | 245.7231.4–257.1 | 310.6295.1–321.5 |
| 2025 | 242.5229.4–253.9 | 307.5292–319.4 |
| 2026 | 243.9227.9–258.1 | 306.9286.1–322.9 |
| 2027 | 247.1232.8–259.3 | 307.4288–321.7 |
| 2028 | 244.2232.2–254.4 | 310.7293.4–322.6 |
| 2029 | 247.3232.7–261.5 | 311.4293.3–324.4 |
| 2030 | 243.9232.3–255.2 | 310.6294.1–322.5 |
| 2031 | 245.1232.9–262.3 | 312.2295–324.8 |
| 2032 | 247.6236.6–257.8 | 310290–323.5 |
| 2033 | 245.3231.7–256.6 | 313292.9–327 |
| 2034 | 246.3233.2–260.4 | 311.7294.8–325.1 |
| 2035 | 246.4234.1–260.9 | 314.5296.7–327.7 |
| 2036 | 246.2228.6–260.4 | 313.5294.1–326.5 |
| 2037 | 247.7235.4–260.2 | 315.6297.9–327.1 |
| 2038 | 249232.1–261 | 316.9301.2–329.6 |
| 2039 | 250234.4–262.7 | 315.4299.4–328.2 |
| 2040 | 248.9235.5–260.5 | 315.6297.9–327.4 |
| 2041 | 248.3235.6–261.9 | 316.8300.6–330.2 |
| 2042 | 252.5237.8–265.3 | 316.3300.3–330.3 |
| 2043 | 250.8234.7–263.4 | 316298.4–326 |
| 2044 | 251.8239.1–265.2 | 317.9299.5–329.6 |
| 2045 | 250.3239.1–265.6 | 316.6300.5–330.4 |
| 2046 | 252.7238.9–267.8 | 317.8302.2–330.7 |
| 2047 | 253.9239.4–267.1 | 319.8301.5–333 |
| 2048 | 254.4242.7–270.5 | 320.1302.4–331.7 |
| 2049 | 253.7241.5–266.4 | 320.7305.3–331.7 |
| 2050 | 254.6242.5–269.2 | 320.9304–335 |
| 2051 | 254.7242.7–270.1 | 321304.1–334.2 |
| 2052 | 252.3240.2–264.6 | 320.9303.9–333.5 |
| 2053 | 256.9244–272.4 | 320.9303.3–334.1 |
| 2054 | 255.9243.5–269.4 | 324.5304.5–338.2 |
| 2055 | 255.2243.8–273.6 | 322.2308.4–333.7 |
| 2056 | 259.1243.6–274.7 | 324.8305.8–336.3 |
| 2057 | 257.5243.8–273.7 | 326310.8–337.3 |
| 2058 | 257.4245.6–274.2 | 322.9307.4–334.2 |
| 2059 | 258.3246.4–271.8 | 325.7308.9–339 |
| 2060 | 259.2246.1–272.6 | 323.8307.5–337 |
| 2061 | 257.7244.8–270.1 | 324.4307.1–338.2 |
| 2062 | 260.4246.4–274.2 | 325.7308–339.3 |
| 2063 | 259.9241.3–272.7 | 326.6308.7–337 |
| 2064 | 260.2245.9–273.1 | 326.2311–339.8 |
| 2065 | 259.8244.1–274.7 | 327.6313.5–339.4 |
| 2066 | 260246.6–274.6 | 328.4311.3–339.6 |
| 2067 | 261.4246.4–272.3 | 326308.4–340.5 |
| 2068 | 260.1245.8–274.8 | 329.3311.2–342.9 |
| 2069 | 263.3249.8–276.6 | 326.6309.9–338.1 |
| 2070 | 259.6245.8–272.6 | 327.4312.6–340.7 |
| 2071 | 262.2248.7–283.4 | 329.1313–341.1 |
| 2072 | 259.8248.6–276 | 330.3315.9–342.1 |
| 2073 | 264.1246.6–277.2 | 326.3309.5–341 |
| 2074 | 262.6248.3–276.6 | 326.7311.4–341.4 |
| 2075 | 263.6248.5–277.7 | 328.9314.5–341.8 |
| 2076 | 261.6251–276.9 | 329.6313.4–342 |
| 2077 | 264251.1–279.8 | 332.5314.4–343.3 |
| 2078 | 265251.6–281.6 | 329.8312.8–342.1 |
| 2079 | 263.8248.5–277.2 | 329.6313.8–340.6 |
| 2080 | 266.8251.9–280.3 | 331.7314.1–344.8 |
| 2081 | 266.5250.7–279.9 | 329.3311.6–343.7 |
| 2082 | 264249.6–277.3 | 329.3313.3–341.4 |
| 2083 | 266.6251.8–282.8 | 330.4315–342.2 |
| 2084 | 264.8253.1–284.2 | 330.5311.9–344.2 |
| 2085 | 265.4251.2–283.4 | 332.7316.6–343.6 |
| 2086 | 268.2252.8–285.3 | 331.9316.3–343.6 |
| 2087 | 265.7251.3–280.8 | 330.7314.9–342.4 |
| 2088 | 267.2252.6–284.4 | 331.7313.2–342.7 |
| 2089 | 267.1252.5–286.7 | 331.1318.3–341.9 |
| 2090 | 267.9254.9–283.4 | 332.4312.7–343.9 |
| 2091 | 267.7254.5–282.2 | 333.3311–345.8 |
| 2092 | 268.8253.6–281.7 | 332.7313.8–345.7 |
| 2093 | 268.1251.7–287 | 334.2318.6–344.9 |
| 2094 | 267.4251.3–287.4 | 334.2317.3–345.6 |
| 2095 | 270.8253.7–284.9 | 333.8319.3–346.3 |
| 2096 | 267.9250.5–285.8 | 332.5317.4–346.7 |
| 2097 | 269.3254.9–287.3 | 331.8312.6–344.6 |
| 2098 | 268.8252.4–284.9 | 332.3316–343.7 |
| 2099 | 269253–282.3 | 333316.9–344.2 |
| 2100 | 269.8254.8–284.9 | 332.3318.5–345 |
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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
孟加拉国与尼日利亚对比
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军用
- 军费开支孟加拉国:2025 年为 GDP 的 0.81%尼日利亚:2025 年为 GDP 的 0.91%
- 军费开支(美元)孟加拉国:2025 年为 US$36.7亿尼日利亚:2025 年为 US$17.6亿
- 人均军费开支孟加拉国:2025 年为 US$22尼日利亚:2025 年为 US$9
- 军费占政府支出比例孟加拉国:2025 年为 7.1%(占政府支出)尼日利亚:2025 年为 5.9%(占政府支出)
- 武装部队人员孟加拉国:2020 年为 227,000 人尼日利亚:2020 年为 223,000 人
- 国家实力孟加拉国:2022 年为 1.01%(占全球实力)尼日利亚:2022 年为 1.16%(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)尼日利亚:2020 年为 0.23%(占劳动力)
- 武器进口孟加拉国:2025 年为 3200万 TIV尼日利亚:2025 年为 2100万 TIV
- 武器出口孟加拉国:1984 年为 200万 TIV尼日利亚:2022 年为 400万 TIV