贝宁与几内亚对比
贝宁与几内亚:热带夜
2014 年热带夜:贝宁为 333.9 夜,几内亚为 286.6 夜(CMIP6 气候模型中位数模拟)。 2014 年贝宁的数值较高,高出 47.3 夜,是几内亚的 1.17 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,贝宁的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年贝宁为 359.6 夜,几内亚为 345.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 贝宁 | 几内亚 |
|---|---|---|
| 2014 | 333.9 | 286.6 |
| 2013 | 328.9 | 285.3 |
| 2012 | 332.6 | 292.9 |
| 2011 | 330.1 | 288.8 |
| 2010 | 329.8 | 285.2 |
| 2009 | 325.2 | 282.5 |
| 2008 | 326.4 | 279 |
| 2007 | 325.2 | 278.9 |
| 2006 | 326.1 | 278.8 |
| 2005 | 324.3 | 278.9 |
| 2004 | 322.7 | 276 |
| 2003 | 327.4 | 279.6 |
| 2002 | 324 | 277.1 |
| 2001 | 329.4 | 279.8 |
| 2000 | 322.4 | 273.1 |
| 1999 | 317.9 | 267 |
| 1998 | 319.1 | 268.4 |
| 1997 | 320.6 | 266.6 |
| 1996 | 315.5 | 260.4 |
| 1995 | 316.5 | 260.3 |
| 1994 | 314.3 | 255 |
| 1993 | 313.5 | 246.6 |
| 1992 | 309.8 | 242.4 |
| 1991 | 316.1 | 264.3 |
| 1990 | 320.6 | 266.4 |
| 1989 | 313.1 | 259.7 |
| 1988 | 313.6 | 256.9 |
| 1987 | 313.3 | 258.4 |
| 1986 | 317.1 | 259.9 |
| 1985 | 314.6 | 252.6 |
| 1984 | 311.8 | 249.6 |
| 1983 | 308.8 | 248.4 |
| 1982 | 309.3 | 250 |
| 1981 | 314.8 | 253.5 |
| 1980 | 310.2 | 251.2 |
| 1979 | 311.9 | 251.2 |
| 1978 | 310 | 252 |
| 1977 | 314.4 | 250.4 |
| 1976 | 309.1 | 244 |
| 1975 | 307.3 | 242.3 |
| 1974 | 307.9 | 247.2 |
| 1973 | 311.8 | 249.3 |
| 1972 | 310.1 | 246.1 |
| 1971 | 305.9 | 244.5 |
| 1970 | 309.7 | 249 |
| 1969 | 305.9 | 241.2 |
| 1968 | 305.6 | 241.5 |
| 1967 | 305.6 | 233.3 |
| 1966 | 305.4 | 237.7 |
| 1965 | 306.1 | 239.8 |
| 1964 | 304.6 | 231 |
| 1963 | 304.6 | 225.8 |
| 1962 | 311.6 | 246.9 |
| 1961 | 307.4 | 246 |
| 1960 | 312.1 | 250.5 |
| 1959 | 312.4 | 244.8 |
| 1958 | 306.8 | 245.6 |
| 1957 | 311.8 | 247.5 |
| 1956 | 308.2 | 242.4 |
| 1955 | 308.6 | 243.5 |
| 1954 | 311.3 | 250.2 |
| 1953 | 307.4 | 241.2 |
| 1952 | 305.5 | 240.3 |
| 1951 | 309.4 | 248.8 |
| 1950 | 304.7 | 240.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 贝宁 | 几内亚 |
|---|---|---|
| 2015 | 328.6309.6–343.6 | 286.7259.9–308.5 |
| 2016 | 330.8309.8–342.5 | 288.9262.6–304 |
| 2017 | 330311.6–342.9 | 291.6265.5–311.4 |
| 2018 | 331.2315.3–345.2 | 295.6269.3–311.8 |
| 2019 | 328.1308–346.4 | 291.8266.8–313.6 |
| 2020 | 330.1308.7–348.1 | 291.2265.6–315.4 |
| 2021 | 332.7314.3–347.2 | 295.8268–316.3 |
| 2022 | 334.9314.5–347.9 | 299.9277.9–322.4 |
| 2023 | 331.8310.2–346.4 | 296273.8–318 |
| 2024 | 340.3323.4–351.1 | 302.3276.9–322.8 |
| 2025 | 335315.9–346.3 | 298.9275.2–322.4 |
| 2026 | 335.9313.3–353.1 | 302.5269.3–323.9 |
| 2027 | 335.8315.2–349.1 | 302.6276.3–320.2 |
| 2028 | 340.1321.3–351.9 | 308.2285.4–325.8 |
| 2029 | 338.6323.1–350.8 | 309.3280.6–327.2 |
| 2030 | 339.7321.7–350 | 305.5277.4–322.4 |
| 2031 | 343.8323.3–354.6 | 313.2282.2–329.6 |
| 2032 | 340.8318.1–351.4 | 307.7287.3–329.5 |
| 2033 | 343.1320.1–354.4 | 310.4282.4–337.8 |
| 2034 | 339.8319.2–352.6 | 308281.7–327.4 |
| 2035 | 342.7322–354.2 | 311.2284.9–333 |
| 2036 | 341.8320.2–355.2 | 312.8285.7–334.5 |
| 2037 | 344324.8–353.5 | 315.5291.8–331.1 |
| 2038 | 346.6334.6–355.1 | 317.9296.3–333.9 |
| 2039 | 344.5327.1–355.1 | 314.1291.6–336 |
| 2040 | 346327.6–355.8 | 316.1292.9–334.6 |
| 2041 | 345.5331.9–357.4 | 315.4296.5–335.7 |
| 2042 | 343.9328.1–358.9 | 316290.7–336.6 |
| 2043 | 345.7326.6–355.4 | 314.8291.1–332.7 |
| 2044 | 347.3329.7–358.8 | 319.8289.7–337.5 |
| 2045 | 342.6328–358.9 | 318.6296.4–339 |
| 2046 | 347.9332.2–357.8 | 321.4295.7–337 |
| 2047 | 349.6330.6–358.7 | 324.6297.9–342.8 |
| 2048 | 349.8334.6–358.1 | 324.8304.4–341.1 |
| 2049 | 350.7333.4–359.3 | 324.2302.4–340.2 |
| 2050 | 351334–360.2 | 322.4299.7–339.6 |
| 2051 | 350338.1–359.9 | 326.1300.4–342 |
| 2052 | 348.6332.5–359.5 | 324301.5–342.8 |
| 2053 | 351.3331.1–359.3 | 325.6298–345.3 |
| 2054 | 353.3336.1–360.3 | 329.5301.3–345.1 |
| 2055 | 350.7336.5–359.7 | 324.4305.3–342.4 |
| 2056 | 353.4337.9–362 | 329.6299.4–349.4 |
| 2057 | 355339.4–361.3 | 332.4301.5–351 |
| 2058 | 352.5338–360.1 | 328.8305.6–347.6 |
| 2059 | 354.9338.8–361.9 | 330.3310.8–350.5 |
| 2060 | 353.2337.9–360.9 | 328.3309.4–348.2 |
| 2061 | 353.8331.6–362 | 330.5304.6–352.8 |
| 2062 | 353.5334.3–361.4 | 327.7307.3–346.5 |
| 2063 | 355.1335.9–361.9 | 333.4311–349.1 |
| 2064 | 353.9338–363.1 | 330.9310.6–351.6 |
| 2065 | 355.3343.1–362.4 | 331.4309.7–350.6 |
| 2066 | 352.4339.8–360.1 | 331.8312.3–347.4 |
| 2067 | 355.7336.9–362.9 | 329.1304–348.6 |
| 2068 | 357.5341.2–363.6 | 335.4309.6–354.5 |
| 2069 | 353.4339.4–362.3 | 333.5313–351.4 |
| 2070 | 354.4341–361.7 | 331.7310.9–352.7 |
| 2071 | 356.4338.9–362.8 | 334.6315.6–352.4 |
| 2072 | 357.8343.2–363.8 | 338.3317–353.2 |
| 2073 | 356.1339.2–362.4 | 334309.7–351.6 |
| 2074 | 355.1339–362.4 | 330.2310.6–352 |
| 2075 | 356.2344.1–363.5 | 334312–352.2 |
| 2076 | 357343.3–362.6 | 338.4321.3–352.1 |
| 2077 | 357.3343.8–363.1 | 341.4318.4–355.6 |
| 2078 | 357.9344.2–363.3 | 338.1316.6–355.8 |
| 2079 | 357.3347.1–362.8 | 337.5318.8–355.3 |
| 2080 | 358.9344.5–365.3 | 339.8315.4–358 |
| 2081 | 357.1341.4–363.9 | 339.3318.2–356.6 |
| 2082 | 357.1341.9–362.2 | 337.9316.1–353.3 |
| 2083 | 358.4346.7–363.4 | 339.2320.8–355.8 |
| 2084 | 357.9343.1–364.6 | 340.5321–354.6 |
| 2085 | 359.5346–364.2 | 343.8319.9–358.1 |
| 2086 | 359.2344.3–364.1 | 342.2318.7–358.7 |
| 2087 | 357.6343.8–364.2 | 340.7319.9–357.6 |
| 2088 | 358.5341.9–364.2 | 341.2318.3–354.9 |
| 2089 | 357.1346.7–363.7 | 337.9318.6–354.8 |
| 2090 | 359.7343.6–363.8 | 341.1315–356 |
| 2091 | 358.6342.2–364.1 | 339.7319.7–355.5 |
| 2092 | 359.3342.5–364.9 | 339.7320.4–356.8 |
| 2093 | 360.3348–364.4 | 341.8325.1–356.2 |
| 2094 | 359347.2–364.5 | 342.2324–356.4 |
| 2095 | 358.6345.9–364.3 | 340.7323.5–359.3 |
| 2096 | 359.2344.5–365.5 | 343.2324–359.7 |
| 2097 | 358.4343.3–363.8 | 340.3313.8–353.8 |
| 2098 | 358.2346.2–363.8 | 339.9318.8–357 |
| 2099 | 358344.6–363.9 | 341.5324.6–355.9 |
| 2100 | 359.6348.3–364.5 | 345.3319.6–357.9 |
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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
贝宁与几内亚对比
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军用
- 军费开支贝宁:2025 年为 GDP 的 0.89%几内亚:2025 年为 GDP 的 2.03%
- 军费开支(美元)贝宁:2025 年为 US$2.04亿几内亚:2025 年为 US$5.86亿
- 人均军费开支贝宁:2025 年为 US$15几内亚:2025 年为 US$40
- 军费占政府支出比例贝宁:2025 年为 4.8%(占政府支出)几内亚:2025 年为 10.6%(占政府支出)
- 武装部队人员贝宁:2020 年为 12,000 人几内亚:2020 年为 13,000 人
- 国家实力贝宁:2022 年为 0.07%(占全球实力)几内亚:2022 年为 0.07%(占全球实力)
- 武装部队占劳动力比例贝宁:2020 年为 0.21%(占劳动力)几内亚:2020 年为 0.32%(占劳动力)
- 武器进口贝宁:2025 年为 400万 TIV几内亚:2025 年为 600万 TIV