安哥拉与马拉维对比
安哥拉与马拉维:热带夜
2014 年热带夜:安哥拉为 61.1 夜,马拉维为 138.1 夜(CMIP6 气候模型中位数模拟)。 2014 年马拉维的数值较高,高出 77.1 夜,是安哥拉的 2.26 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,马拉维的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 173.4 夜,马拉维为 213.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 安哥拉 | 马拉维 |
|---|---|---|
| 2014 | 61.1 | 138.1 |
| 2013 | 62.3 | 138.9 |
| 2012 | 63.6 | 137.4 |
| 2011 | 59.9 | 136.6 |
| 2010 | 58.9 | 132.4 |
| 2009 | 56.9 | 131.4 |
| 2008 | 54.5 | 130.8 |
| 2007 | 54.6 | 132.8 |
| 2006 | 54 | 129.8 |
| 2005 | 53.8 | 129.5 |
| 2004 | 55.8 | 133.4 |
| 2003 | 55.3 | 132.5 |
| 2002 | 53.2 | 130.3 |
| 2001 | 55 | 134 |
| 2000 | 51.4 | 126.6 |
| 1999 | 48.1 | 124.8 |
| 1998 | 50.5 | 127.1 |
| 1997 | 47.9 | 124.2 |
| 1996 | 43.2 | 121.3 |
| 1995 | 43 | 120.9 |
| 1994 | 41.6 | 118.4 |
| 1993 | 35.9 | 113.8 |
| 1992 | 35.3 | 114.1 |
| 1991 | 45.5 | 120.9 |
| 1990 | 46.7 | 123.8 |
| 1989 | 43.8 | 120.5 |
| 1988 | 42.7 | 120.8 |
| 1987 | 42.7 | 118.8 |
| 1986 | 42.7 | 121.1 |
| 1985 | 39.3 | 115.7 |
| 1984 | 38.2 | 116.2 |
| 1983 | 37.8 | 115.5 |
| 1982 | 40.8 | 115.1 |
| 1981 | 42 | 119 |
| 1980 | 39.9 | 116.9 |
| 1979 | 39.1 | 117.7 |
| 1978 | 38.6 | 114.8 |
| 1977 | 38.6 | 117.2 |
| 1976 | 36.8 | 114 |
| 1975 | 38.1 | 114 |
| 1974 | 37.4 | 115.2 |
| 1973 | 38.7 | 114.7 |
| 1972 | 36.6 | 113.8 |
| 1971 | 36 | 114.1 |
| 1970 | 36.6 | 115.8 |
| 1969 | 36.5 | 114.3 |
| 1968 | 34.5 | 110 |
| 1967 | 32.4 | 109.8 |
| 1966 | 34.3 | 111 |
| 1965 | 34.2 | 111.5 |
| 1964 | 31.5 | 106.3 |
| 1963 | 30.5 | 107.5 |
| 1962 | 37.6 | 114.7 |
| 1961 | 37.3 | 116 |
| 1960 | 38.7 | 117.4 |
| 1959 | 38 | 115.6 |
| 1958 | 37.3 | 116.4 |
| 1957 | 38 | 114.6 |
| 1956 | 35.1 | 111.4 |
| 1955 | 37.5 | 115.2 |
| 1954 | 36.5 | 113.9 |
| 1953 | 36.2 | 113 |
| 1952 | 37.3 | 113.5 |
| 1951 | 37.4 | 113.5 |
| 1950 | 36.5 | 112.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 安哥拉 | 马拉维 |
|---|---|---|
| 2015 | 67.946.7–89.4 | 145.7126.7–164.3 |
| 2016 | 63.143.9–82.7 | 139.8122.6–157.4 |
| 2017 | 68.248.7–87.9 | 143.6127–161.8 |
| 2018 | 69.250.6–90.9 | 143.1124.6–162.6 |
| 2019 | 69.547.5–97.7 | 143.8128.3–161.4 |
| 2020 | 7351.1–97.1 | 145127.3–165.8 |
| 2021 | 75.654.9–97.2 | 145.3128–163.6 |
| 2022 | 78.758–105.7 | 151130.1–169.1 |
| 2023 | 78.357.5–103.3 | 149.2129.5–171.2 |
| 2024 | 83.457.6–108.1 | 152.4130–172.6 |
| 2025 | 79.154–111.7 | 151.1129.7–170.4 |
| 2026 | 82.455.4–117.5 | 151.1126.2–173.8 |
| 2027 | 84.157.6–115.3 | 154.4135.1–173.1 |
| 2028 | 85.862.6–117.4 | 155.5134.6–174 |
| 2029 | 9165.8–120 | 159.8139.2–178.5 |
| 2030 | 87.661.6–119.2 | 155.6138.7–174.5 |
| 2031 | 92.363.9–122.5 | 161.1143.4–177.6 |
| 2032 | 9566.1–124.5 | 160.8141.3–181.3 |
| 2033 | 92.766.8–125 | 161.3135.6–179.2 |
| 2034 | 91.466.7–131.8 | 160.9138.9–185 |
| 2035 | 96.364.7–131.8 | 164.3140.4–189.5 |
| 2036 | 95.964.2–129 | 163.8137.6–182.5 |
| 2037 | 103.870.4–136.7 | 166.9144.6–189.2 |
| 2038 | 105.376.7–136.8 | 172.2148.4–191.2 |
| 2039 | 99.367–137.4 | 164.8147.3–188.2 |
| 2040 | 100.569.2–143.1 | 164.4146.4–189.7 |
| 2041 | 109.975.5–145.2 | 169.3143.7–192.5 |
| 2042 | 10775.4–153.1 | 169.8146.3–197.8 |
| 2043 | 102.572.6–148.6 | 167.5147.1–193.2 |
| 2044 | 106.872.1–147.2 | 172.6148.3–197 |
| 2045 | 107.276.5–148.5 | 170.4153.1–194.7 |
| 2046 | 119.383.6–159.4 | 176.3151.2–203.1 |
| 2047 | 123.483.9–157.3 | 178.7157.8–200.9 |
| 2048 | 121.483.1–161.4 | 180.7158.9–204.1 |
| 2049 | 122.883.6–165.9 | 176.7154–205.4 |
| 2050 | 124.786.1–168.1 | 180.4155.2–204.9 |
| 2051 | 122.389.3–169.4 | 182.9162.1–207.4 |
| 2052 | 127.289.2–173.9 | 184.9163.2–209.6 |
| 2053 | 124.885.7–169.4 | 177.2149.6–207.4 |
| 2054 | 129.386.8–169.7 | 185.1157.1–208 |
| 2055 | 127.194.6–174.1 | 186.1159.2–212.6 |
| 2056 | 130.688.2–184.1 | 184.6158.5–214.3 |
| 2057 | 137.790.4–179.2 | 184.7159.3–212.3 |
| 2058 | 134.592.1–179.4 | 188.5163.8–214.7 |
| 2059 | 136.698.3–189.8 | 189.8166.9–218.5 |
| 2060 | 145.896.6–186.9 | 192.6163.4–218.1 |
| 2061 | 136.989.6–192.5 | 186.4158.8–216.8 |
| 2062 | 140.689.9–190 | 192.3163.9–218.6 |
| 2063 | 142.592.2–189.4 | 189.2165.2–220.3 |
| 2064 | 142.295.4–186.9 | 197161.3–218 |
| 2065 | 144.2101–193.2 | 193.1165.8–225.2 |
| 2066 | 144.2100.5–193.3 | 201170.1–224.7 |
| 2067 | 142.496.2–194.4 | 193.1164.2–223.7 |
| 2068 | 150.1103.4–196.7 | 198.6163.7–227.1 |
| 2069 | 145.898.5–197.6 | 199.4165.8–225 |
| 2070 | 143.196.6–202.5 | 198.7168–226.7 |
| 2071 | 151.7103.6–205.4 | 199.3167.9–233.5 |
| 2072 | 158.8110.5–197.3 | 202.3173.2–226.2 |
| 2073 | 159.8114–208.3 | 205.4168.2–233.4 |
| 2074 | 151.1103.1–205.9 | 198.2175.4–227.7 |
| 2075 | 148.7100.3–201.6 | 199.6168.9–228.3 |
| 2076 | 157.3106.3–204.8 | 198.8169.8–225.2 |
| 2077 | 161.8115.3–206.2 | 202172.2–231.2 |
| 2078 | 158.1114–211.5 | 203.5175.8–232.1 |
| 2079 | 158.3109.9–212.9 | 203.6172.2–236.1 |
| 2080 | 162.8109.6–212.5 | 204.7172.2–234.3 |
| 2081 | 161.1112.7–207.9 | 202.2174.9–231.3 |
| 2082 | 161.2114.4–207.5 | 204.3178.3–228.6 |
| 2083 | 159.9106–216.6 | 205.8170.7–238.3 |
| 2084 | 169.2117.7–215.2 | 208.1175.9–235.6 |
| 2085 | 175118.5–226 | 211.1179.4–241 |
| 2086 | 160.3115.4–221.3 | 203.3175.4–237 |
| 2087 | 162.4118.5–223.3 | 205.3181.2–237.7 |
| 2088 | 169.9116–218.4 | 211.6174.7–240.6 |
| 2089 | 166.9119.1–220 | 208.9180.5–237.8 |
| 2090 | 165.8119.6–223.4 | 209.4173.4–243 |
| 2091 | 175.2120.2–229.1 | 214.3179.7–244.8 |
| 2092 | 172.5119.9–228.5 | 213.2176.8–242.3 |
| 2093 | 169.9116.3–228.6 | 212.5177.8–242.2 |
| 2094 | 172.3118.2–221 | 211.8179.7–241.5 |
| 2095 | 179122.5–229.5 | 216.9185–243.8 |
| 2096 | 170.5117.6–228.9 | 213.1182–247.6 |
| 2097 | 169.6116.1–222.1 | 210.8174.9–242.1 |
| 2098 | 174.6115.2–234.3 | 214.4181.5–242.2 |
| 2099 | 170.7118.3–232.7 | 213.5181.9–244.1 |
| 2100 | 173.4123.5–231 | 213.3181.5–246.3 |
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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
安哥拉与马拉维对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支安哥拉:2025 年为 GDP 的 1.4%马拉维:2025 年为 GDP 的 1.15%
- 军费开支(美元)安哥拉:2025 年为 US$12.6亿马拉维:2025 年为 US$1.28亿
- 人均军费开支安哥拉:2025 年为 US$38马拉维:2025 年为 US$7
- 军费占政府支出比例安哥拉:2025 年为 5.9%(占政府支出)马拉维:2025 年为 3.8%(占政府支出)
- 武装部队人员安哥拉:2020 年为 117,000 人马拉维:2020 年为 15,000 人
- 国家实力安哥拉:2022 年为 0.29%(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安哥拉:2020 年为 0.87%(占劳动力)马拉维:2020 年为 0.2%(占劳动力)
- 武器进口安哥拉:2025 年为 8400万 TIV马拉维:2024 年为 200万 TIV
- 武器出口安哥拉:2002 年为 200万 TIV马拉维:2000 年为 100万 TIV