安哥拉与科特迪瓦对比
安哥拉与科特迪瓦:35 °C 以上天数
2014 年35 °C 以上天数:安哥拉为 6.8 天,科特迪瓦为 36.4 天(CMIP6 气候模型中位数模拟)。 2014 年科特迪瓦的数值较高,高出 29.6 天,是安哥拉的 5.38 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,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 年安哥拉为 40.2 天,科特迪瓦为 110.6 天。
逐年数据
每年天数 · CMIP6
| 年份 | 安哥拉 | 科特迪瓦 |
|---|---|---|
| 2014 | 6.8 | 36.4 |
| 2013 | 6.6 | 37.7 |
| 2012 | 6.7 | 35 |
| 2011 | 5.1 | 35.7 |
| 2010 | 5.7 | 33.9 |
| 2009 | 5.5 | 32.7 |
| 2008 | 5 | 29.4 |
| 2007 | 5.3 | 31 |
| 2006 | 4.5 | 29.7 |
| 2005 | 5.1 | 32.3 |
| 2004 | 6.4 | 33.6 |
| 2003 | 5.5 | 30.8 |
| 2002 | 5.3 | 31.2 |
| 2001 | 5.2 | 32.8 |
| 2000 | 4.7 | 30.7 |
| 1999 | 4.4 | 29.5 |
| 1998 | 4.8 | 29.1 |
| 1997 | 3.7 | 28.5 |
| 1996 | 2.5 | 22 |
| 1995 | 3.2 | 23.7 |
| 1994 | 3.1 | 23.7 |
| 1993 | 2.5 | 19.8 |
| 1992 | 1.8 | 18.4 |
| 1991 | 3 | 27.1 |
| 1990 | 3.5 | 28.5 |
| 1989 | 3.5 | 24.1 |
| 1988 | 3 | 26.3 |
| 1987 | 3.1 | 25.3 |
| 1986 | 3.4 | 25.7 |
| 1985 | 2.7 | 24.4 |
| 1984 | 2.6 | 24.5 |
| 1983 | 2.2 | 24.3 |
| 1982 | 2.3 | 25.5 |
| 1981 | 3 | 25.4 |
| 1980 | 3.1 | 23.3 |
| 1979 | 2.1 | 24.1 |
| 1978 | 2.5 | 23.9 |
| 1977 | 2 | 23.5 |
| 1976 | 1.8 | 22.4 |
| 1975 | 2.2 | 21.1 |
| 1974 | 2.4 | 22.5 |
| 1973 | 3 | 22.7 |
| 1972 | 2.4 | 21.3 |
| 1971 | 2.2 | 21.8 |
| 1970 | 2.4 | 21.6 |
| 1969 | 2.5 | 23.9 |
| 1968 | 1.9 | 20.1 |
| 1967 | 1.7 | 18.6 |
| 1966 | 1.8 | 22.3 |
| 1965 | 1.9 | 19.2 |
| 1964 | 1.6 | 14.2 |
| 1963 | 1.2 | 22.2 |
| 1962 | 2.2 | 23.5 |
| 1961 | 2.3 | 22.7 |
| 1960 | 2.4 | 25.2 |
| 1959 | 2.5 | 23.5 |
| 1958 | 2.4 | 24.4 |
| 1957 | 2.6 | 21.8 |
| 1956 | 1.8 | 21.9 |
| 1955 | 2.4 | 25 |
| 1954 | 2 | 22.3 |
| 1953 | 1.9 | 20.9 |
| 1952 | 2.5 | 21 |
| 1951 | 2 | 24.3 |
| 1950 | 2.4 | 21.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 安哥拉 | 科特迪瓦 |
|---|---|---|
| 2015 | 7.72.3–15.6 | 39.425–57.3 |
| 2016 | 6.42.2–12.4 | 35.216.8–50.3 |
| 2017 | 72.4–13.3 | 3620.5–51.5 |
| 2018 | 7.52.5–14.5 | 37.619–57.1 |
| 2019 | 7.11.9–15.6 | 37.320.4–58.7 |
| 2020 | 9.22.8–15.8 | 38.122.5–63 |
| 2021 | 8.53.8–16.5 | 39.826.1–54.4 |
| 2022 | 9.24.5–17 | 4525.4–64.1 |
| 2023 | 10.85.1–18.5 | 40.323.9–55.9 |
| 2024 | 104.3–18.2 | 43.329.5–64.3 |
| 2025 | 9.53.7–20.8 | 44.224.5–59.9 |
| 2026 | 115.6–21.6 | 44.322.5–67 |
| 2027 | 115.4–20.3 | 44.518.2–68.2 |
| 2028 | 10.95.1–20.7 | 45.423.3–70.2 |
| 2029 | 12.56.7–21.1 | 48.427.4–73.1 |
| 2030 | 11.85.9–21.5 | 47.826.8–74.8 |
| 2031 | 12.24.9–23.5 | 49.926.4–70.3 |
| 2032 | 13.16.3–23.7 | 50.425–75.3 |
| 2033 | 12.65.6–23.2 | 53.229.1–74.9 |
| 2034 | 14.54.8–28.7 | 51.430.2–72.8 |
| 2035 | 14.14.4–26.4 | 5128.1–75.7 |
| 2036 | 12.85.2–24.2 | 50.925.8–79.3 |
| 2037 | 14.46.1–27.9 | 60.830–84.2 |
| 2038 | 14.55.9–27.2 | 60.135.1–86.1 |
| 2039 | 13.94.7–25.4 | 56.536.2–81.3 |
| 2040 | 14.25.8–26.6 | 54.231.5–91.5 |
| 2041 | 16.98.1–29.8 | 6539.9–87.6 |
| 2042 | 178.3–30.9 | 6137–84.8 |
| 2043 | 15.77.2–28.7 | 56.936.2–84.4 |
| 2044 | 15.15.8–27.4 | 62.538.5–92.4 |
| 2045 | 15.26.5–28.2 | 6638.2–93.7 |
| 2046 | 18.68.8–35.4 | 67.336.4–92.2 |
| 2047 | 209.1–33.3 | 71.837.3–96.2 |
| 2048 | 19.48.3–36.5 | 67.544.2–94.9 |
| 2049 | 18.98.9–36.3 | 67.342.7–100.2 |
| 2050 | 19.88.3–38.8 | 62.941–102.8 |
| 2051 | 19.310.1–38 | 67.939.3–102.7 |
| 2052 | 21.69–41 | 75.641.4–107 |
| 2053 | 20.811.3–37.5 | 69.643.7–109.3 |
| 2054 | 23.49.3–42.3 | 72.942.2–107.6 |
| 2055 | 22.311.3–41.6 | 77.446.2–112.6 |
| 2056 | 21.210.8–41.6 | 75.246.8–112.7 |
| 2057 | 22.610–46.5 | 80.146.7–110.5 |
| 2058 | 22.49.2–43.2 | 76.444.6–105.3 |
| 2059 | 24.612.4–45.2 | 77.848.5–119.8 |
| 2060 | 26.911.9–48.6 | 81.649.8–115.6 |
| 2061 | 26.59.8–48.2 | 82.447.9–117.4 |
| 2062 | 23.311.4–48.1 | 73.847.7–115.8 |
| 2063 | 23.310–47 | 83.655.4–125.6 |
| 2064 | 24.911.5–49.3 | 80.148.8–114.1 |
| 2065 | 27.511.3–55.7 | 86.652.1–119 |
| 2066 | 26.111.3–52.4 | 79.854.4–119.2 |
| 2067 | 25.211.4–51.7 | 8152.6–119.3 |
| 2068 | 25.812.4–46.5 | 87.151.2–124.3 |
| 2069 | 27.612.3–50.5 | 9049.1–129.5 |
| 2070 | 27.211.5–53.6 | 82.945.1–131.3 |
| 2071 | 30.912.7–53.6 | 81.952.8–131.5 |
| 2072 | 28.913.8–48.4 | 89.453–124.2 |
| 2073 | 32.813.7–61.3 | 94.850–142.1 |
| 2074 | 28.414–58.7 | 83.553.4–142.6 |
| 2075 | 29.311.8–52.4 | 89.751.6–131.7 |
| 2076 | 32.811.3–59.9 | 96.257.8–132 |
| 2077 | 32.914.1–58.2 | 98.950.4–141.2 |
| 2078 | 31.514.4–61.9 | 9157.1–137.8 |
| 2079 | 31.713.8–60.4 | 94.156.6–139.9 |
| 2080 | 32.214.1–59.6 | 103.354.6–141.4 |
| 2081 | 32.414.8–63.1 | 96.658.5–139.2 |
| 2082 | 32.115.6–66.5 | 98.855.7–136.5 |
| 2083 | 34.712.4–67.7 | 99.660.7–141.8 |
| 2084 | 34.614.2–59.6 | 98.557.3–141.8 |
| 2085 | 3817.2–65.3 | 108.660.6–148.6 |
| 2086 | 33.414–73.7 | 102.359.9–144.7 |
| 2087 | 34.415.7–66.4 | 99.854.5–143.3 |
| 2088 | 3513.6–68.5 | 101.756.4–138 |
| 2089 | 3818.2–63.8 | 89.560.4–138.3 |
| 2090 | 35.816.2–62.7 | 98.358.5–146.7 |
| 2091 | 38.215.2–72 | 103.466.1–145.8 |
| 2092 | 36.115.9–71.3 | 109.559.6–150.7 |
| 2093 | 34.216.4–71.4 | 102.561.4–163.2 |
| 2094 | 39.317.9–69.9 | 102.361.8–153.6 |
| 2095 | 40.515.2–71.5 | 115.160.6–159.8 |
| 2096 | 38.214.4–68.2 | 104.661.5–158.1 |
| 2097 | 34.115.5–64.3 | 96.659.8–152.6 |
| 2098 | 36.914.6–74.5 | 10959.4–154 |
| 2099 | 35.814.7–75.4 | 107.653.7–164.1 |
| 2100 | 40.214.4–70.7 | 110.666.8–162 |
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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
安哥拉与科特迪瓦对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支安哥拉:2025 年为 GDP 的 1.4%科特迪瓦:2025 年为 GDP 的 0.77%
- 军费开支(美元)安哥拉:2025 年为 US$12.6亿科特迪瓦:2025 年为 US$7.21亿
- 人均军费开支安哥拉:2025 年为 US$38科特迪瓦:2025 年为 US$24
- 军费占政府支出比例安哥拉:2025 年为 5.9%(占政府支出)科特迪瓦:2025 年为 3.8%(占政府支出)
- 武装部队人员安哥拉:2020 年为 117,000 人科特迪瓦:2020 年为 27,000 人
- 国家实力安哥拉:2022 年为 0.29%(占全球实力)科特迪瓦:2022 年为 0.16%(占全球实力)
- 武装部队占劳动力比例安哥拉:2020 年为 0.87%(占劳动力)科特迪瓦:2020 年为 0.25%(占劳动力)
- 武器进口安哥拉:2025 年为 8400万 TIV科特迪瓦:2025 年为 1500万 TIV
- 武器出口安哥拉:2002 年为 200万 TIV科特迪瓦:1971 年为 100万 TIV