贝宁与马拉维对比
贝宁与马拉维:热带夜
2014 年热带夜:贝宁为 333.9 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年贝宁的数值较高,高出 195.8 夜,是马拉维的 2.42 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,马拉维为 213.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 贝宁 | 马拉维 |
|---|---|---|
| 2014 | 333.9 | 138.1 |
| 2013 | 328.9 | 138.9 |
| 2012 | 332.6 | 137.4 |
| 2011 | 330.1 | 136.6 |
| 2010 | 329.8 | 132.4 |
| 2009 | 325.2 | 131.4 |
| 2008 | 326.4 | 130.8 |
| 2007 | 325.2 | 132.8 |
| 2006 | 326.1 | 129.8 |
| 2005 | 324.3 | 129.5 |
| 2004 | 322.7 | 133.4 |
| 2003 | 327.4 | 132.5 |
| 2002 | 324 | 130.3 |
| 2001 | 329.4 | 134 |
| 2000 | 322.4 | 126.6 |
| 1999 | 317.9 | 124.8 |
| 1998 | 319.1 | 127.1 |
| 1997 | 320.6 | 124.2 |
| 1996 | 315.5 | 121.3 |
| 1995 | 316.5 | 120.9 |
| 1994 | 314.3 | 118.4 |
| 1993 | 313.5 | 113.8 |
| 1992 | 309.8 | 114.1 |
| 1991 | 316.1 | 120.9 |
| 1990 | 320.6 | 123.8 |
| 1989 | 313.1 | 120.5 |
| 1988 | 313.6 | 120.8 |
| 1987 | 313.3 | 118.8 |
| 1986 | 317.1 | 121.1 |
| 1985 | 314.6 | 115.7 |
| 1984 | 311.8 | 116.2 |
| 1983 | 308.8 | 115.5 |
| 1982 | 309.3 | 115.1 |
| 1981 | 314.8 | 119 |
| 1980 | 310.2 | 116.9 |
| 1979 | 311.9 | 117.7 |
| 1978 | 310 | 114.8 |
| 1977 | 314.4 | 117.2 |
| 1976 | 309.1 | 114 |
| 1975 | 307.3 | 114 |
| 1974 | 307.9 | 115.2 |
| 1973 | 311.8 | 114.7 |
| 1972 | 310.1 | 113.8 |
| 1971 | 305.9 | 114.1 |
| 1970 | 309.7 | 115.8 |
| 1969 | 305.9 | 114.3 |
| 1968 | 305.6 | 110 |
| 1967 | 305.6 | 109.8 |
| 1966 | 305.4 | 111 |
| 1965 | 306.1 | 111.5 |
| 1964 | 304.6 | 106.3 |
| 1963 | 304.6 | 107.5 |
| 1962 | 311.6 | 114.7 |
| 1961 | 307.4 | 116 |
| 1960 | 312.1 | 117.4 |
| 1959 | 312.4 | 115.6 |
| 1958 | 306.8 | 116.4 |
| 1957 | 311.8 | 114.6 |
| 1956 | 308.2 | 111.4 |
| 1955 | 308.6 | 115.2 |
| 1954 | 311.3 | 113.9 |
| 1953 | 307.4 | 113 |
| 1952 | 305.5 | 113.5 |
| 1951 | 309.4 | 113.5 |
| 1950 | 304.7 | 112.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 贝宁 | 马拉维 |
|---|---|---|
| 2015 | 328.6309.6–343.6 | 145.7126.7–164.3 |
| 2016 | 330.8309.8–342.5 | 139.8122.6–157.4 |
| 2017 | 330311.6–342.9 | 143.6127–161.8 |
| 2018 | 331.2315.3–345.2 | 143.1124.6–162.6 |
| 2019 | 328.1308–346.4 | 143.8128.3–161.4 |
| 2020 | 330.1308.7–348.1 | 145127.3–165.8 |
| 2021 | 332.7314.3–347.2 | 145.3128–163.6 |
| 2022 | 334.9314.5–347.9 | 151130.1–169.1 |
| 2023 | 331.8310.2–346.4 | 149.2129.5–171.2 |
| 2024 | 340.3323.4–351.1 | 152.4130–172.6 |
| 2025 | 335315.9–346.3 | 151.1129.7–170.4 |
| 2026 | 335.9313.3–353.1 | 151.1126.2–173.8 |
| 2027 | 335.8315.2–349.1 | 154.4135.1–173.1 |
| 2028 | 340.1321.3–351.9 | 155.5134.6–174 |
| 2029 | 338.6323.1–350.8 | 159.8139.2–178.5 |
| 2030 | 339.7321.7–350 | 155.6138.7–174.5 |
| 2031 | 343.8323.3–354.6 | 161.1143.4–177.6 |
| 2032 | 340.8318.1–351.4 | 160.8141.3–181.3 |
| 2033 | 343.1320.1–354.4 | 161.3135.6–179.2 |
| 2034 | 339.8319.2–352.6 | 160.9138.9–185 |
| 2035 | 342.7322–354.2 | 164.3140.4–189.5 |
| 2036 | 341.8320.2–355.2 | 163.8137.6–182.5 |
| 2037 | 344324.8–353.5 | 166.9144.6–189.2 |
| 2038 | 346.6334.6–355.1 | 172.2148.4–191.2 |
| 2039 | 344.5327.1–355.1 | 164.8147.3–188.2 |
| 2040 | 346327.6–355.8 | 164.4146.4–189.7 |
| 2041 | 345.5331.9–357.4 | 169.3143.7–192.5 |
| 2042 | 343.9328.1–358.9 | 169.8146.3–197.8 |
| 2043 | 345.7326.6–355.4 | 167.5147.1–193.2 |
| 2044 | 347.3329.7–358.8 | 172.6148.3–197 |
| 2045 | 342.6328–358.9 | 170.4153.1–194.7 |
| 2046 | 347.9332.2–357.8 | 176.3151.2–203.1 |
| 2047 | 349.6330.6–358.7 | 178.7157.8–200.9 |
| 2048 | 349.8334.6–358.1 | 180.7158.9–204.1 |
| 2049 | 350.7333.4–359.3 | 176.7154–205.4 |
| 2050 | 351334–360.2 | 180.4155.2–204.9 |
| 2051 | 350338.1–359.9 | 182.9162.1–207.4 |
| 2052 | 348.6332.5–359.5 | 184.9163.2–209.6 |
| 2053 | 351.3331.1–359.3 | 177.2149.6–207.4 |
| 2054 | 353.3336.1–360.3 | 185.1157.1–208 |
| 2055 | 350.7336.5–359.7 | 186.1159.2–212.6 |
| 2056 | 353.4337.9–362 | 184.6158.5–214.3 |
| 2057 | 355339.4–361.3 | 184.7159.3–212.3 |
| 2058 | 352.5338–360.1 | 188.5163.8–214.7 |
| 2059 | 354.9338.8–361.9 | 189.8166.9–218.5 |
| 2060 | 353.2337.9–360.9 | 192.6163.4–218.1 |
| 2061 | 353.8331.6–362 | 186.4158.8–216.8 |
| 2062 | 353.5334.3–361.4 | 192.3163.9–218.6 |
| 2063 | 355.1335.9–361.9 | 189.2165.2–220.3 |
| 2064 | 353.9338–363.1 | 197161.3–218 |
| 2065 | 355.3343.1–362.4 | 193.1165.8–225.2 |
| 2066 | 352.4339.8–360.1 | 201170.1–224.7 |
| 2067 | 355.7336.9–362.9 | 193.1164.2–223.7 |
| 2068 | 357.5341.2–363.6 | 198.6163.7–227.1 |
| 2069 | 353.4339.4–362.3 | 199.4165.8–225 |
| 2070 | 354.4341–361.7 | 198.7168–226.7 |
| 2071 | 356.4338.9–362.8 | 199.3167.9–233.5 |
| 2072 | 357.8343.2–363.8 | 202.3173.2–226.2 |
| 2073 | 356.1339.2–362.4 | 205.4168.2–233.4 |
| 2074 | 355.1339–362.4 | 198.2175.4–227.7 |
| 2075 | 356.2344.1–363.5 | 199.6168.9–228.3 |
| 2076 | 357343.3–362.6 | 198.8169.8–225.2 |
| 2077 | 357.3343.8–363.1 | 202172.2–231.2 |
| 2078 | 357.9344.2–363.3 | 203.5175.8–232.1 |
| 2079 | 357.3347.1–362.8 | 203.6172.2–236.1 |
| 2080 | 358.9344.5–365.3 | 204.7172.2–234.3 |
| 2081 | 357.1341.4–363.9 | 202.2174.9–231.3 |
| 2082 | 357.1341.9–362.2 | 204.3178.3–228.6 |
| 2083 | 358.4346.7–363.4 | 205.8170.7–238.3 |
| 2084 | 357.9343.1–364.6 | 208.1175.9–235.6 |
| 2085 | 359.5346–364.2 | 211.1179.4–241 |
| 2086 | 359.2344.3–364.1 | 203.3175.4–237 |
| 2087 | 357.6343.8–364.2 | 205.3181.2–237.7 |
| 2088 | 358.5341.9–364.2 | 211.6174.7–240.6 |
| 2089 | 357.1346.7–363.7 | 208.9180.5–237.8 |
| 2090 | 359.7343.6–363.8 | 209.4173.4–243 |
| 2091 | 358.6342.2–364.1 | 214.3179.7–244.8 |
| 2092 | 359.3342.5–364.9 | 213.2176.8–242.3 |
| 2093 | 360.3348–364.4 | 212.5177.8–242.2 |
| 2094 | 359347.2–364.5 | 211.8179.7–241.5 |
| 2095 | 358.6345.9–364.3 | 216.9185–243.8 |
| 2096 | 359.2344.5–365.5 | 213.1182–247.6 |
| 2097 | 358.4343.3–363.8 | 210.8174.9–242.1 |
| 2098 | 358.2346.2–363.8 | 214.4181.5–242.2 |
| 2099 | 358344.6–363.9 | 213.5181.9–244.1 |
| 2100 | 359.6348.3–364.5 | 213.3181.5–246.3 |
分别查看各国
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
贝宁与马拉维对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支贝宁:2025 年为 GDP 的 0.89%马拉维:2025 年为 GDP 的 1.15%
- 军费开支(美元)贝宁:2025 年为 US$2.04亿马拉维:2025 年为 US$1.28亿
- 人均军费开支贝宁:2025 年为 US$15马拉维:2025 年为 US$7
- 军费占政府支出比例贝宁:2025 年为 4.8%(占政府支出)马拉维:2025 年为 3.8%(占政府支出)
- 武装部队人员贝宁:2020 年为 12,000 人马拉维:2020 年为 15,000 人
- 国家实力贝宁:2022 年为 0.07%(占全球实力)马拉维: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)马拉维:2020 年为 0.2%(占劳动力)
- 武器进口贝宁:2025 年为 400万 TIV马拉维:2024 年为 200万 TIV