贝宁与喀麦隆对比
贝宁与喀麦隆:热带夜
2014 年热带夜:贝宁为 333.9 夜,喀麦隆为 238.7 夜(CMIP6 气候模型中位数模拟)。 2014 年贝宁的数值较高,高出 95.2 夜,是喀麦隆的 1.4 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,喀麦隆为 324.2 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 贝宁 | 喀麦隆 |
|---|---|---|
| 2014 | 333.9 | 238.7 |
| 2013 | 328.9 | 236.7 |
| 2012 | 332.6 | 242.2 |
| 2011 | 330.1 | 237.6 |
| 2010 | 329.8 | 230.4 |
| 2009 | 325.2 | 226.6 |
| 2008 | 326.4 | 223.1 |
| 2007 | 325.2 | 222.1 |
| 2006 | 326.1 | 220.1 |
| 2005 | 324.3 | 216.1 |
| 2004 | 322.7 | 217.6 |
| 2003 | 327.4 | 221 |
| 2002 | 324 | 215.5 |
| 2001 | 329.4 | 223 |
| 2000 | 322.4 | 210 |
| 1999 | 317.9 | 200.5 |
| 1998 | 319.1 | 203.5 |
| 1997 | 320.6 | 202 |
| 1996 | 315.5 | 190 |
| 1995 | 316.5 | 187.3 |
| 1994 | 314.3 | 183.1 |
| 1993 | 313.5 | 165.2 |
| 1992 | 309.8 | 156.7 |
| 1991 | 316.1 | 192.6 |
| 1990 | 320.6 | 200.7 |
| 1989 | 313.1 | 187.5 |
| 1988 | 313.6 | 185.8 |
| 1987 | 313.3 | 182.7 |
| 1986 | 317.1 | 188.9 |
| 1985 | 314.6 | 173.2 |
| 1984 | 311.8 | 172.9 |
| 1983 | 308.8 | 165.5 |
| 1982 | 309.3 | 176.3 |
| 1981 | 314.8 | 182.6 |
| 1980 | 310.2 | 173.6 |
| 1979 | 311.9 | 175.8 |
| 1978 | 310 | 172.8 |
| 1977 | 314.4 | 175.7 |
| 1976 | 309.1 | 164.5 |
| 1975 | 307.3 | 159.5 |
| 1974 | 307.9 | 166.8 |
| 1973 | 311.8 | 170.4 |
| 1972 | 310.1 | 165.2 |
| 1971 | 305.9 | 161.3 |
| 1970 | 309.7 | 164.4 |
| 1969 | 305.9 | 160 |
| 1968 | 305.6 | 157.8 |
| 1967 | 305.6 | 147.9 |
| 1966 | 305.4 | 156.5 |
| 1965 | 306.1 | 151.6 |
| 1964 | 304.6 | 143.1 |
| 1963 | 304.6 | 145.9 |
| 1962 | 311.6 | 171.8 |
| 1961 | 307.4 | 167.2 |
| 1960 | 312.1 | 176.2 |
| 1959 | 312.4 | 166.5 |
| 1958 | 306.8 | 169.2 |
| 1957 | 311.8 | 168.2 |
| 1956 | 308.2 | 160 |
| 1955 | 308.6 | 163.7 |
| 1954 | 311.3 | 167.6 |
| 1953 | 307.4 | 168.2 |
| 1952 | 305.5 | 165.7 |
| 1951 | 309.4 | 172.8 |
| 1950 | 304.7 | 162.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 贝宁 | 喀麦隆 |
|---|---|---|
| 2015 | 328.6309.6–343.6 | 242.2196.9–270.8 |
| 2016 | 330.8309.8–342.5 | 237.7192.1–259.9 |
| 2017 | 330311.6–342.9 | 245.8205.7–271.3 |
| 2018 | 331.2315.3–345.2 | 245.7208–270.5 |
| 2019 | 328.1308–346.4 | 243.7200.2–275.6 |
| 2020 | 330.1308.7–348.1 | 246.4210.4–278 |
| 2021 | 332.7314.3–347.2 | 255.2220.2–279.6 |
| 2022 | 334.9314.5–347.9 | 255.8221–285.7 |
| 2023 | 331.8310.2–346.4 | 254.5221.7–284.1 |
| 2024 | 340.3323.4–351.1 | 263225.8–286.8 |
| 2025 | 335315.9–346.3 | 257.3222.7–293.9 |
| 2026 | 335.9313.3–353.1 | 260.4211.9–292 |
| 2027 | 335.8315.2–349.1 | 258.5223.8–291.5 |
| 2028 | 340.1321.3–351.9 | 266.9235.5–294.7 |
| 2029 | 338.6323.1–350.8 | 269.9242.3–293.5 |
| 2030 | 339.7321.7–350 | 266.6229–293.5 |
| 2031 | 343.8323.3–354.6 | 273.2229.9–298.5 |
| 2032 | 340.8318.1–351.4 | 269.8240.6–296.2 |
| 2033 | 343.1320.1–354.4 | 271.8235.6–303.4 |
| 2034 | 339.8319.2–352.6 | 268.1239.2–299.1 |
| 2035 | 342.7322–354.2 | 277.5241.5–302.7 |
| 2036 | 341.8320.2–355.2 | 275.7235.1–301.3 |
| 2037 | 344324.8–353.5 | 283.5252.3–305.9 |
| 2038 | 346.6334.6–355.1 | 285.8258–307.9 |
| 2039 | 344.5327.1–355.1 | 280.9250.4–305.8 |
| 2040 | 346327.6–355.8 | 279.5252.1–310.6 |
| 2041 | 345.5331.9–357.4 | 284.5254.6–309.9 |
| 2042 | 343.9328.1–358.9 | 284.8253.6–313.2 |
| 2043 | 345.7326.6–355.4 | 281.2251.4–309.8 |
| 2044 | 347.3329.7–358.8 | 283.8244.4–312.3 |
| 2045 | 342.6328–358.9 | 286.8253.7–311.4 |
| 2046 | 347.9332.2–357.8 | 296.1260.6–318.1 |
| 2047 | 349.6330.6–358.7 | 294.3260.7–316.6 |
| 2048 | 349.8334.6–358.1 | 297.3265.6–318.1 |
| 2049 | 350.7333.4–359.3 | 298.3267.8–318.1 |
| 2050 | 351334–360.2 | 296.9267.9–322.7 |
| 2051 | 350338.1–359.9 | 297.8266.7–319.9 |
| 2052 | 348.6332.5–359.5 | 298.7270.1–322.3 |
| 2053 | 351.3331.1–359.3 | 297.7261.3–321.7 |
| 2054 | 353.3336.1–360.3 | 301.2268.2–324.6 |
| 2055 | 350.7336.5–359.7 | 301.3276.5–324.3 |
| 2056 | 353.4337.9–362 | 302.1270.4–329.2 |
| 2057 | 355339.4–361.3 | 305.4277.7–327.4 |
| 2058 | 352.5338–360.1 | 302.6272.1–325.2 |
| 2059 | 354.9338.8–361.9 | 306.2279.6–330.1 |
| 2060 | 353.2337.9–360.9 | 306.1276.1–331.1 |
| 2061 | 353.8331.6–362 | 304.4267.2–329.7 |
| 2062 | 353.5334.3–361.4 | 307.6266.2–332.2 |
| 2063 | 355.1335.9–361.9 | 309.1272.5–328.8 |
| 2064 | 353.9338–363.1 | 308.5278.7–331 |
| 2065 | 355.3343.1–362.4 | 311.3284.1–329.6 |
| 2066 | 352.4339.8–360.1 | 311.9284–332.7 |
| 2067 | 355.7336.9–362.9 | 310.1271.7–335.6 |
| 2068 | 357.5341.2–363.6 | 312.9278.7–335 |
| 2069 | 353.4339.4–362.3 | 310.4278.4–333.4 |
| 2070 | 354.4341–361.7 | 309.8281.2–334.9 |
| 2071 | 356.4338.9–362.8 | 316.4282.3–336 |
| 2072 | 357.8343.2–363.8 | 315.4289.2–335.3 |
| 2073 | 356.1339.2–362.4 | 314282.6–339.5 |
| 2074 | 355.1339–362.4 | 311.7281.9–336.8 |
| 2075 | 356.2344.1–363.5 | 314.8285.3–335.3 |
| 2076 | 357343.3–362.6 | 315.2284.7–338.4 |
| 2077 | 357.3343.8–363.1 | 318.2289.7–341.4 |
| 2078 | 357.9344.2–363.3 | 315.8286.4–338.5 |
| 2079 | 357.3347.1–362.8 | 317.7287.8–337.5 |
| 2080 | 358.9344.5–365.3 | 321.5285.9–341.7 |
| 2081 | 357.1341.4–363.9 | 318.7290–339 |
| 2082 | 357.1341.9–362.2 | 316.2289–337.7 |
| 2083 | 358.4346.7–363.4 | 317.7288.2–341.6 |
| 2084 | 357.9343.1–364.6 | 318.5284.5–342.1 |
| 2085 | 359.5346–364.2 | 323.4294–342.7 |
| 2086 | 359.2344.3–364.1 | 319.5292.3–343 |
| 2087 | 357.6343.8–364.2 | 318292.7–342.5 |
| 2088 | 358.5341.9–364.2 | 320.4288.1–342 |
| 2089 | 357.1346.7–363.7 | 320.1289.6–340.7 |
| 2090 | 359.7343.6–363.8 | 322.4292.8–342.6 |
| 2091 | 358.6342.2–364.1 | 322.6289.9–345 |
| 2092 | 359.3342.5–364.9 | 324.9291.6–343.6 |
| 2093 | 360.3348–364.4 | 322.3299.7–342.6 |
| 2094 | 359347.2–364.5 | 324299.3–343.4 |
| 2095 | 358.6345.9–364.3 | 326.4300.2–346.4 |
| 2096 | 359.2344.5–365.5 | 322.1294.4–346.4 |
| 2097 | 358.4343.3–363.8 | 320.9287.4–342.5 |
| 2098 | 358.2346.2–363.8 | 323.1293.8–344.4 |
| 2099 | 358344.6–363.9 | 322.6295.7–344.2 |
| 2100 | 359.6348.3–364.5 | 324.2293.6–346.6 |
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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
贝宁与喀麦隆对比
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冲突
军用
- 军费开支贝宁:2025 年为 GDP 的 0.89%喀麦隆:2025 年为 GDP 的 1.06%
- 军费开支(美元)贝宁:2025 年为 US$2.04亿喀麦隆:2025 年为 US$5.8亿
- 人均军费开支贝宁:2025 年为 US$15喀麦隆:2025 年为 US$21
- 军费占政府支出比例贝宁:2025 年为 4.8%(占政府支出)喀麦隆:2025 年为 6.5%(占政府支出)
- 武装部队人员贝宁:2020 年为 12,000 人喀麦隆:2020 年为 34,000 人
- 国家实力贝宁:2022 年为 0.07%(占全球实力)喀麦隆:2022 年为 0.16%(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)喀麦隆:2020 年为 0.34%(占劳动力)
- 武器进口贝宁:2025 年为 400万 TIV喀麦隆:2023 年为 200万 TIV