贝宁与马里对比
贝宁与马里:35 °C 以上天数
2014 年35 °C 以上天数:贝宁为 108 天,马里为 205.3 天(CMIP6 气候模型中位数模拟)。 2014 年马里的数值较高,高出 97.3 天,是贝宁的 1.9 倍。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,马里的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年贝宁为 181.8 天,马里为 250.4 天。
逐年数据
每年天数 · CMIP6
| 年份 | 贝宁 | 马里 |
|---|---|---|
| 2014 | 108 | 205.3 |
| 2013 | 105.6 | 204.6 |
| 2012 | 103.6 | 205.2 |
| 2011 | 103.6 | 205 |
| 2010 | 100.9 | 201.7 |
| 2009 | 96.5 | 201.1 |
| 2008 | 95.4 | 200.4 |
| 2007 | 96.7 | 201.3 |
| 2006 | 96.1 | 198.2 |
| 2005 | 97.7 | 198.1 |
| 2004 | 101.3 | 201.5 |
| 2003 | 95.1 | 198.8 |
| 2002 | 93.8 | 200.1 |
| 2001 | 101.4 | 198.2 |
| 2000 | 97.8 | 195.8 |
| 1999 | 90.8 | 194.7 |
| 1998 | 90.3 | 193.3 |
| 1997 | 93.9 | 194.1 |
| 1996 | 85.5 | 188.1 |
| 1995 | 86.4 | 189.6 |
| 1994 | 83.4 | 187 |
| 1993 | 80.5 | 183.1 |
| 1992 | 76.8 | 181.5 |
| 1991 | 88.6 | 191.7 |
| 1990 | 92.4 | 192.8 |
| 1989 | 83.3 | 189.4 |
| 1988 | 89.9 | 187.1 |
| 1987 | 90.2 | 188.2 |
| 1986 | 91.1 | 190.4 |
| 1985 | 84.2 | 185.4 |
| 1984 | 86.8 | 186.1 |
| 1983 | 86.9 | 186.8 |
| 1982 | 85.5 | 187.2 |
| 1981 | 87.3 | 187 |
| 1980 | 87.1 | 189 |
| 1979 | 87 | 188.8 |
| 1978 | 84.7 | 184.1 |
| 1977 | 87.9 | 184.6 |
| 1976 | 80.6 | 184.9 |
| 1975 | 82.6 | 183 |
| 1974 | 81.4 | 180 |
| 1973 | 85 | 185.9 |
| 1972 | 84.2 | 182.7 |
| 1971 | 81.8 | 181.8 |
| 1970 | 79.6 | 184.4 |
| 1969 | 83.5 | 184.7 |
| 1968 | 77.9 | 182.4 |
| 1967 | 81.1 | 179.2 |
| 1966 | 79.5 | 182.3 |
| 1965 | 77.4 | 180.5 |
| 1964 | 69.6 | 177.2 |
| 1963 | 80.7 | 177.9 |
| 1962 | 85.5 | 185.3 |
| 1961 | 87.8 | 186.4 |
| 1960 | 87 | 189.3 |
| 1959 | 85.1 | 187.2 |
| 1958 | 88.5 | 185.9 |
| 1957 | 86.5 | 191.6 |
| 1956 | 79.6 | 182.5 |
| 1955 | 83.1 | 185.5 |
| 1954 | 85.7 | 187.6 |
| 1953 | 89.1 | 186.3 |
| 1952 | 84.2 | 184.5 |
| 1951 | 88.4 | 186 |
| 1950 | 83.1 | 183 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 贝宁 | 马里 |
|---|---|---|
| 2015 | 106.178.6–131.3 | 205.1181.6–226.2 |
| 2016 | 98.673.3–119.9 | 202177.4–219.9 |
| 2017 | 103.980.2–135.6 | 208.7184.8–230 |
| 2018 | 103.967.8–131 | 203.5179–226.6 |
| 2019 | 10774.7–131.1 | 207.3177.3–229.3 |
| 2020 | 105.368.1–136.7 | 205.3176.9–227.9 |
| 2021 | 104.682.1–131.3 | 207.3189.4–228.8 |
| 2022 | 114.481.7–144.5 | 212.7186.6–234.9 |
| 2023 | 108.580.6–136.3 | 208.3186.1–232.4 |
| 2024 | 115.490.8–144.3 | 216.7191.8–240.5 |
| 2025 | 111.587.7–138.8 | 212.9190.9–233.9 |
| 2026 | 115.272.2–141.7 | 214175.7–236 |
| 2027 | 119.571.4–146.3 | 214.4187.3–235.9 |
| 2028 | 117.188.3–156.7 | 217.9191.7–234.6 |
| 2029 | 12089.5–146.7 | 214193–233.5 |
| 2030 | 12281.4–150.9 | 215.1189.6–236.7 |
| 2031 | 123.487.4–150 | 217.8194.8–239.2 |
| 2032 | 124.478.6–161.8 | 215.6188.8–241.2 |
| 2033 | 123.484.1–155.7 | 217.3191.2–240.5 |
| 2034 | 124.787.9–153 | 215.5193.5–241 |
| 2035 | 121.483.7–159.3 | 220.3192.4–241.1 |
| 2036 | 12481.6–157.4 | 217.1193.6–243.4 |
| 2037 | 133.488.3–162.7 | 224.3198.3–242.7 |
| 2038 | 133.498.6–164.4 | 222.3194.3–251 |
| 2039 | 132.295.8–160.2 | 219.2196.6–247.4 |
| 2040 | 129.390.6–167.2 | 223.3201–245.1 |
| 2041 | 13798.2–168.2 | 225.1204.4–245.5 |
| 2042 | 135.396.6–165.7 | 226199.1–248.7 |
| 2043 | 132.9101.1–165.5 | 223.1202.4–244.4 |
| 2044 | 136.888.1–170.3 | 226.3197.8–250.4 |
| 2045 | 140.595.8–178 | 226.9202.5–248.2 |
| 2046 | 148.9100.3–175.8 | 228.6199.3–250.6 |
| 2047 | 147.5101.6–173.4 | 232.2203.4–255.4 |
| 2048 | 144.4105.8–178.9 | 232.1208.4–251.3 |
| 2049 | 145.3112.7–175.4 | 228.3206.3–249.9 |
| 2050 | 141.4107.2–184.1 | 227.9204.5–253.3 |
| 2051 | 142.6105.6–186.1 | 225.8205–252.8 |
| 2052 | 150.5103.5–190 | 233.4204.7–262.2 |
| 2053 | 143.4104.6–189.3 | 228.5204.3–257.4 |
| 2054 | 149.8108.9–189.7 | 231.7207.6–260.8 |
| 2055 | 150.9115.4–193.7 | 235.2209.3–258.2 |
| 2056 | 153.6112.9–196.5 | 236.4209–259.9 |
| 2057 | 168.3114.9–194.8 | 238.9212.9–266.1 |
| 2058 | 155.9115.6–189.5 | 232.2209.6–263.7 |
| 2059 | 155122–196.6 | 238.6213–263.1 |
| 2060 | 159.7112.9–195.4 | 235.3213.6–260.9 |
| 2061 | 162.8110.6–197.9 | 239.6210.7–268.2 |
| 2062 | 158.2116.9–201.5 | 236.3210.8–264.6 |
| 2063 | 165.6122.8–205.9 | 238.3214.5–260.1 |
| 2064 | 161115.8–196.7 | 239215.2–265.3 |
| 2065 | 165.1118.3–196.8 | 239.8216.5–260 |
| 2066 | 157.3125–203.9 | 240.4219.8–269.8 |
| 2067 | 158.3118.9–206.6 | 234.5212.7–260.9 |
| 2068 | 162.5118.9–203.1 | 239.3213.8–265.9 |
| 2069 | 164.3118.8–209.7 | 241213–262.1 |
| 2070 | 163114.1–208.8 | 241.2213.9–266.1 |
| 2071 | 169.9113.8–214.9 | 239.6216.8–268.4 |
| 2072 | 167.4119.5–209.3 | 244.7222.5–271.9 |
| 2073 | 169.4122.4–216.7 | 243.1216.4–269.2 |
| 2074 | 164.9116.4–222.8 | 243.3216.9–272.6 |
| 2075 | 176.7116.6–209.4 | 244.5217.8–270 |
| 2076 | 170.5130.4–214.1 | 245219.7–267.6 |
| 2077 | 181.8127.5–221.2 | 249.7217.4–277.9 |
| 2078 | 171.9128.8–217.8 | 247.1219.3–274.3 |
| 2079 | 175.4131.7–212.4 | 245218.1–272.2 |
| 2080 | 183.1121.3–215.7 | 247.1219.9–274.3 |
| 2081 | 173.9122.5–219.1 | 244.6216.8–276.5 |
| 2082 | 172.4126.2–219.8 | 244.9220.3–276 |
| 2083 | 177.2131.2–222.2 | 249.3222.7–275.6 |
| 2084 | 174.6130.9–222.3 | 244.5220.6–274.1 |
| 2085 | 186.3131.3–224.6 | 252.2220.4–277.5 |
| 2086 | 178.7124.8–224.6 | 247221.5–277.6 |
| 2087 | 183.2124.3–218.5 | 243212.5–274.4 |
| 2088 | 181.6131.3–223.4 | 245.7222.2–279.5 |
| 2089 | 172.2128.9–227.6 | 245.4217.4–278.8 |
| 2090 | 177.1135.1–228 | 249.8217.9–273.1 |
| 2091 | 184.8127.9–222.4 | 249.3224.1–276.6 |
| 2092 | 193.6130.9–228.6 | 250.8219.8–275.2 |
| 2093 | 186.1135.5–232.4 | 249.4221.9–280.7 |
| 2094 | 182.1136.8–228.1 | 252.8226.8–277.6 |
| 2095 | 196.1122.4–231.5 | 251.7220.9–277.7 |
| 2096 | 185.2135.2–235.1 | 251.6226.6–279.2 |
| 2097 | 178.6131.5–227.3 | 246.5221.7–275 |
| 2098 | 183.4131.9–228.8 | 252.7226–275.1 |
| 2099 | 190.6129.1–238.9 | 253.6226.7–282.1 |
| 2100 | 181.8131.4–238.5 | 250.4223.5–278.7 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,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
贝宁与马里对比
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军用
- 军费开支贝宁:2025 年为 GDP 的 0.89%马里:2025 年为 GDP 的 3.87%
- 军费开支(美元)贝宁:2025 年为 US$2.04亿马里:2025 年为 US$8.83亿
- 人均军费开支贝宁:2025 年为 US$15马里:2025 年为 US$38
- 军费占政府支出比例贝宁:2025 年为 4.8%(占政府支出)马里:2025 年为 14.8%(占政府支出)
- 武装部队人员贝宁:2020 年为 12,000 人马里:2020 年为 41,000 人
- 国家实力贝宁:2022 年为 0.07%(占全球实力)马里:2022 年为 0.1%(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)马里:2020 年为 0.54%(占劳动力)
- 武器进口贝宁:2025 年为 400万 TIV马里:2025 年为 6400万 TIV