科特迪瓦与坦桑尼亚对比
科特迪瓦与坦桑尼亚:热带夜
2014 年热带夜:科特迪瓦为 341.6 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 235.3 夜,是坦桑尼亚的 3.21 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,科特迪瓦的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年科特迪瓦为 359.6 夜,坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 科特迪瓦 | 坦桑尼亚 |
|---|---|---|
| 2014 | 341.6 | 106.3 |
| 2013 | 339.6 | 105.5 |
| 2012 | 342.3 | 108.4 |
| 2011 | 340.1 | 109 |
| 2010 | 338.6 | 103.9 |
| 2009 | 337.3 | 101.1 |
| 2008 | 337.1 | 100.3 |
| 2007 | 336.7 | 99.5 |
| 2006 | 336.6 | 100.4 |
| 2005 | 337.6 | 98.7 |
| 2004 | 334.8 | 100.4 |
| 2003 | 337.3 | 99.6 |
| 2002 | 336.1 | 98.4 |
| 2001 | 339.5 | 101.5 |
| 2000 | 334.6 | 94.9 |
| 1999 | 331.3 | 94.2 |
| 1998 | 332.7 | 96.8 |
| 1997 | 331.8 | 93.5 |
| 1996 | 329.9 | 89.6 |
| 1995 | 330.5 | 88.5 |
| 1994 | 327.9 | 85.4 |
| 1993 | 327.2 | 81.2 |
| 1992 | 322 | 80.1 |
| 1991 | 331.7 | 89.6 |
| 1990 | 334 | 91.1 |
| 1989 | 328.9 | 89.1 |
| 1988 | 327.5 | 87.6 |
| 1987 | 327.9 | 88.5 |
| 1986 | 329.2 | 89.4 |
| 1985 | 324.9 | 83 |
| 1984 | 325.8 | 83.1 |
| 1983 | 325.4 | 82.1 |
| 1982 | 324 | 84.8 |
| 1981 | 327 | 88 |
| 1980 | 323.1 | 85 |
| 1979 | 327.1 | 85.5 |
| 1978 | 324.2 | 82.9 |
| 1977 | 325.5 | 84.1 |
| 1976 | 321.7 | 81 |
| 1975 | 322.8 | 80.8 |
| 1974 | 322 | 82.2 |
| 1973 | 323.8 | 83.6 |
| 1972 | 322.4 | 81.4 |
| 1971 | 322 | 80.7 |
| 1970 | 322.2 | 81.8 |
| 1969 | 320.9 | 79.5 |
| 1968 | 319.8 | 79.1 |
| 1967 | 317.1 | 77.5 |
| 1966 | 318.4 | 78.1 |
| 1965 | 320 | 78 |
| 1964 | 314.7 | 73.8 |
| 1963 | 317.4 | 73.1 |
| 1962 | 324.1 | 81.1 |
| 1961 | 323.1 | 82.6 |
| 1960 | 325.5 | 83.9 |
| 1959 | 322.1 | 81.4 |
| 1958 | 322.4 | 82.1 |
| 1957 | 321.2 | 80.9 |
| 1956 | 321.2 | 80 |
| 1955 | 320.1 | 81.6 |
| 1954 | 325.6 | 81.4 |
| 1953 | 322.9 | 80.6 |
| 1952 | 319.4 | 81.4 |
| 1951 | 323.9 | 82.1 |
| 1950 | 317.8 | 80.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 科特迪瓦 | 坦桑尼亚 |
|---|---|---|
| 2015 | 339.1321.9–350.7 | 114.895.2–137.4 |
| 2016 | 339.9324.6–349.1 | 108.391.6–125.6 |
| 2017 | 340.5322.4–349.6 | 114.893.6–137.8 |
| 2018 | 341.6327.4–351.6 | 116.497.4–137.1 |
| 2019 | 338.5323.6–350.3 | 113.495.2–133.2 |
| 2020 | 340.6324.2–352.9 | 119.396.2–143.5 |
| 2021 | 340.8325.2–353.8 | 119.5100.9–147.1 |
| 2022 | 344327.2–353.4 | 124.4105.3–147.4 |
| 2023 | 341.2327.2–352.6 | 122.1102.1–147.8 |
| 2024 | 344.9331–353.9 | 126.2100–150.1 |
| 2025 | 342.4327.8–352.1 | 124.6100.9–154 |
| 2026 | 342.3326.6–353.3 | 126.999.1–155.6 |
| 2027 | 343.9325.6–352.9 | 128102.9–147.7 |
| 2028 | 347.4333.6–355.5 | 129.9106.4–152.1 |
| 2029 | 347.2332.4–355.2 | 134.1111–156.5 |
| 2030 | 347.2332.1–353.8 | 129.4106.4–151.1 |
| 2031 | 349.3333.1–357.2 | 136.4115.9–158.4 |
| 2032 | 347.8331.5–356.9 | 135.1114–166.8 |
| 2033 | 348332.6–360.4 | 135.2110.9–161.9 |
| 2034 | 346.6331.7–355.8 | 134.7112.5–166.3 |
| 2035 | 348.9333.7–357.8 | 140.2114.6–165 |
| 2036 | 350.5332.7–359.1 | 137.8113.3–165.5 |
| 2037 | 349.8334.6–357.5 | 142.9121.5–168.9 |
| 2038 | 351.3338.9–358.2 | 147.9124.3–169.3 |
| 2039 | 350.6333.1–358.9 | 144.3117.6–171.3 |
| 2040 | 351.1336.2–359.6 | 140.5117–178 |
| 2041 | 350.8335.9–358 | 149.1121.7–175.6 |
| 2042 | 349.8337.3–358.6 | 146.3120.5–185.3 |
| 2043 | 348.4336.1–357.8 | 144.6117–173 |
| 2044 | 350.3337.5–359.2 | 147.7121.2–175.8 |
| 2045 | 351339.5–359.5 | 150.1125.2–183.4 |
| 2046 | 351.7337.6–358.6 | 161.5128.6–192.2 |
| 2047 | 352335.4–360.1 | 160.2129.7–194.4 |
| 2048 | 351.6339.9–360.3 | 158.8132.7–193.1 |
| 2049 | 353339.6–360.9 | 157.6131.1–196 |
| 2050 | 352340.6–359.3 | 159.7127.8–192 |
| 2051 | 353340.5–360.5 | 163.2135.5–197.8 |
| 2052 | 352339–359.8 | 161.9136.2–199.1 |
| 2053 | 352.7339–360.5 | 160.6127.5–197.7 |
| 2054 | 354.7339.5–360.9 | 163.2131.5–200.2 |
| 2055 | 353.4343.4–360.8 | 167.4137–208.3 |
| 2056 | 355.9339.6–362.8 | 166.4130.8–209.7 |
| 2057 | 356.3343–362 | 168134.6–208.3 |
| 2058 | 354.3344.5–361.3 | 168.7134.9–210.3 |
| 2059 | 355343.4–361.7 | 174.7144.9–219.5 |
| 2060 | 354.6343.3–362.1 | 181.7138.1–219.8 |
| 2061 | 354.6341.3–362.5 | 171.8135.5–218.1 |
| 2062 | 354.4340.8–361.3 | 177.5139.9–224 |
| 2063 | 355.4345.2–362.1 | 181.4140.1–213.8 |
| 2064 | 356.1344.6–362.9 | 185.3140.1–215.2 |
| 2065 | 355.5346.4–362.4 | 183.5141.1–221.8 |
| 2066 | 355.2344.5–361.2 | 181.9146.3–219.3 |
| 2067 | 355.3341.4–361.8 | 178.8138.8–229.2 |
| 2068 | 357.3346.3–363.6 | 186144.2–228.4 |
| 2069 | 355344.3–362.7 | 183.7141.7–225.3 |
| 2070 | 355.6344.2–362.3 | 180.7140.4–228.2 |
| 2071 | 356.8344.7–362.9 | 184.9146.9–235.2 |
| 2072 | 357.7346.2–363.1 | 191.3155–226.1 |
| 2073 | 356.6345.2–362.2 | 191.6152.4–235.6 |
| 2074 | 354.4342.1–362.7 | 183.3149.7–231.7 |
| 2075 | 356343.7–362.5 | 183.8144.8–233 |
| 2076 | 357.4348.5–363.3 | 191.1150.9–233.2 |
| 2077 | 358.1347.7–362.8 | 191.3152.6–238.2 |
| 2078 | 357.3346.8–363.2 | 189156.6–233.8 |
| 2079 | 357.4346.6–363.6 | 190.5147–237.3 |
| 2080 | 359.1349.4–364.7 | 197.3150.7–241.2 |
| 2081 | 358.8347.5–363.5 | 195.6153.4–237.4 |
| 2082 | 357346.9–363.4 | 194.5157.3–237.3 |
| 2083 | 357.8349.5–363.1 | 193.2151–249.8 |
| 2084 | 358.8349.3–363.4 | 201.1152.2–246.7 |
| 2085 | 359.7350.1–364 | 204.2162.3–252.3 |
| 2086 | 359347.7–363.8 | 195156–248.7 |
| 2087 | 358.8348.8–364.1 | 196.7160.8–244.5 |
| 2088 | 358347.4–363.7 | 208.4154.7–246.9 |
| 2089 | 357.4347.3–363.5 | 201.3158.6–248.2 |
| 2090 | 358.8346.1–363.9 | 197.9160.7–253.6 |
| 2091 | 358.3349.1–363.3 | 210161.6–256 |
| 2092 | 359.2347.5–364 | 205.8158.3–253.6 |
| 2093 | 359349.8–363.8 | 207.2161.2–251.9 |
| 2094 | 359.3350.1–363.1 | 207.9161.3–250.6 |
| 2095 | 358.1349.7–364 | 214.2166.4–258.5 |
| 2096 | 358.8348.3–365.1 | 205.3159.8–257.4 |
| 2097 | 358.9342.5–362.5 | 206.6158.4–256.8 |
| 2098 | 357.8348.1–363.6 | 209.1161–258.3 |
| 2099 | 359.2349.5–363.2 | 208.5160.1–256 |
| 2100 | 359.6348.3–363.8 | 208158.6–258.6 |
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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
科特迪瓦与坦桑尼亚对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支科特迪瓦:2025 年为 GDP 的 0.77%坦桑尼亚:2025 年为 GDP 的 1.16%
- 军费开支(美元)科特迪瓦:2025 年为 US$7.21亿坦桑尼亚:2025 年为 US$9.83亿
- 人均军费开支科特迪瓦:2025 年为 US$24坦桑尼亚:2025 年为 US$15
- 军费占政府支出比例科特迪瓦:2025 年为 3.8%(占政府支出)坦桑尼亚:2025 年为 5.8%(占政府支出)
- 武装部队人员科特迪瓦:2020 年为 27,000 人坦桑尼亚:2020 年为 28,000 人
- 国家实力科特迪瓦:2022 年为 0.16%(占全球实力)坦桑尼亚:2022 年为 0.25%(占全球实力)
- 武装部队占劳动力比例科特迪瓦:2020 年为 0.25%(占劳动力)坦桑尼亚:2020 年为 0.1%(占劳动力)
- 武器进口科特迪瓦:2025 年为 1500万 TIV坦桑尼亚:2025 年为 400万 TIV