安哥拉与埃塞俄比亚对比
安哥拉与埃塞俄比亚:热带夜
2014 年热带夜:安哥拉为 61.1 夜,埃塞俄比亚为 144.9 夜(CMIP6 气候模型中位数模拟)。 2014 年埃塞俄比亚的数值较高,高出 83.9 夜,是安哥拉的 2.37 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,埃塞俄比亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年安哥拉为 173.4 夜,埃塞俄比亚为 201.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 安哥拉 | 埃塞俄比亚 |
|---|---|---|
| 2014 | 61.1 | 144.9 |
| 2013 | 62.3 | 145.1 |
| 2012 | 63.6 | 144.4 |
| 2011 | 59.9 | 145.6 |
| 2010 | 58.9 | 142.4 |
| 2009 | 56.9 | 140.3 |
| 2008 | 54.5 | 137.1 |
| 2007 | 54.6 | 138.2 |
| 2006 | 54 | 138.7 |
| 2005 | 53.8 | 138.1 |
| 2004 | 55.8 | 139.1 |
| 2003 | 55.3 | 138.8 |
| 2002 | 53.2 | 137.4 |
| 2001 | 55 | 139.2 |
| 2000 | 51.4 | 135.5 |
| 1999 | 48.1 | 132.6 |
| 1998 | 50.5 | 132.9 |
| 1997 | 47.9 | 132.7 |
| 1996 | 43.2 | 129.7 |
| 1995 | 43 | 127.8 |
| 1994 | 41.6 | 126.3 |
| 1993 | 35.9 | 122.5 |
| 1992 | 35.3 | 119.7 |
| 1991 | 45.5 | 129.5 |
| 1990 | 46.7 | 132.7 |
| 1989 | 43.8 | 129.4 |
| 1988 | 42.7 | 128.2 |
| 1987 | 42.7 | 126.4 |
| 1986 | 42.7 | 128.1 |
| 1985 | 39.3 | 122.8 |
| 1984 | 38.2 | 124.8 |
| 1983 | 37.8 | 120.6 |
| 1982 | 40.8 | 126.3 |
| 1981 | 42 | 127 |
| 1980 | 39.9 | 124.9 |
| 1979 | 39.1 | 125.1 |
| 1978 | 38.6 | 124.7 |
| 1977 | 38.6 | 125.8 |
| 1976 | 36.8 | 122 |
| 1975 | 38.1 | 119.5 |
| 1974 | 37.4 | 124 |
| 1973 | 38.7 | 125.2 |
| 1972 | 36.6 | 122.3 |
| 1971 | 36 | 120.6 |
| 1970 | 36.6 | 121.3 |
| 1969 | 36.5 | 120.4 |
| 1968 | 34.5 | 119.1 |
| 1967 | 32.4 | 118.1 |
| 1966 | 34.3 | 119.5 |
| 1965 | 34.2 | 117.4 |
| 1964 | 31.5 | 116.6 |
| 1963 | 30.5 | 115.7 |
| 1962 | 37.6 | 121.6 |
| 1961 | 37.3 | 124.2 |
| 1960 | 38.7 | 124.5 |
| 1959 | 38 | 121.6 |
| 1958 | 37.3 | 124.1 |
| 1957 | 38 | 123.2 |
| 1956 | 35.1 | 120.9 |
| 1955 | 37.5 | 122.8 |
| 1954 | 36.5 | 121.6 |
| 1953 | 36.2 | 121.2 |
| 1952 | 37.3 | 122.8 |
| 1951 | 37.4 | 123 |
| 1950 | 36.5 | 122 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 安哥拉 | 埃塞俄比亚 |
|---|---|---|
| 2015 | 67.946.7–89.4 | 146.6129.4–163.9 |
| 2016 | 63.143.9–82.7 | 144.1127–160.6 |
| 2017 | 68.248.7–87.9 | 148.3129.2–164.9 |
| 2018 | 69.250.6–90.9 | 149.6131.6–166 |
| 2019 | 69.547.5–97.7 | 146.2129.3–166 |
| 2020 | 7351.1–97.1 | 149.4129.6–168.5 |
| 2021 | 75.654.9–97.2 | 150.7132.1–170 |
| 2022 | 78.758–105.7 | 154135.7–171.2 |
| 2023 | 78.357.5–103.3 | 153.5135.4–171.4 |
| 2024 | 83.457.6–108.1 | 156.5135.9–175.6 |
| 2025 | 79.154–111.7 | 154132.6–175.5 |
| 2026 | 82.455.4–117.5 | 153132–175 |
| 2027 | 84.157.6–115.3 | 154.2134.4–175.3 |
| 2028 | 85.862.6–117.4 | 157.5138.3–177.4 |
| 2029 | 9165.8–120 | 159.2141.8–176.8 |
| 2030 | 87.661.6–119.2 | 156.8136.3–175.7 |
| 2031 | 92.363.9–122.5 | 161.4142.4–179.1 |
| 2032 | 9566.1–124.5 | 161.7143.1–182.5 |
| 2033 | 92.766.8–125 | 161.8140–180.9 |
| 2034 | 91.466.7–131.8 | 158.8141.5–184.3 |
| 2035 | 96.364.7–131.8 | 162141.7–184.2 |
| 2036 | 95.964.2–129 | 160.5143.6–179.4 |
| 2037 | 103.870.4–136.7 | 165145.8–184.5 |
| 2038 | 105.376.7–136.8 | 167.1146.5–186.7 |
| 2039 | 99.367–137.4 | 164.5143.9–186 |
| 2040 | 100.569.2–143.1 | 165.9146.2–190.1 |
| 2041 | 109.975.5–145.2 | 167.9146.3–189.3 |
| 2042 | 10775.4–153.1 | 167.7146–194.3 |
| 2043 | 102.572.6–148.6 | 167.3145.5–190.8 |
| 2044 | 106.872.1–147.2 | 168.2148.2–189.9 |
| 2045 | 107.276.5–148.5 | 170.7149.1–192.3 |
| 2046 | 119.383.6–159.4 | 175.3150–198.6 |
| 2047 | 123.483.9–157.3 | 176.9151.8–197.5 |
| 2048 | 121.483.1–161.4 | 177.5155.4–199.1 |
| 2049 | 122.883.6–165.9 | 177.5157.9–198.4 |
| 2050 | 124.786.1–168.1 | 176.4153.8–199 |
| 2051 | 122.389.3–169.4 | 176.6155.3–199.7 |
| 2052 | 127.289.2–173.9 | 177155.6–200.7 |
| 2053 | 124.885.7–169.4 | 176.7154.2–201.6 |
| 2054 | 129.386.8–169.7 | 177.6156.9–201.1 |
| 2055 | 127.194.6–174.1 | 180.6155.2–202.3 |
| 2056 | 130.688.2–184.1 | 177.3155–205.4 |
| 2057 | 137.790.4–179.2 | 180.3159.3–205.5 |
| 2058 | 134.592.1–179.4 | 182.6153.7–209.4 |
| 2059 | 136.698.3–189.8 | 185.7160.1–210.6 |
| 2060 | 145.896.6–186.9 | 185.9160.3–210.4 |
| 2061 | 136.989.6–192.5 | 183.3158.3–211.7 |
| 2062 | 140.689.9–190 | 183.8155.4–213 |
| 2063 | 142.592.2–189.4 | 184.5159.1–208.6 |
| 2064 | 142.295.4–186.9 | 186.7160.6–207.2 |
| 2065 | 144.2101–193.2 | 183.7162.4–212.9 |
| 2066 | 144.2100.5–193.3 | 187.1165.4–210.1 |
| 2067 | 142.496.2–194.4 | 187.1160.7–214.5 |
| 2068 | 150.1103.4–196.7 | 187.6160.4–215.8 |
| 2069 | 145.898.5–197.6 | 187.8165.4–215.8 |
| 2070 | 143.196.6–202.5 | 187.9161.6–216.9 |
| 2071 | 151.7103.6–205.4 | 192.7165.2–219.5 |
| 2072 | 158.8110.5–197.3 | 193.6167.4–214.5 |
| 2073 | 159.8114–208.3 | 193.3169.7–218.7 |
| 2074 | 151.1103.1–205.9 | 188.5163.9–219 |
| 2075 | 148.7100.3–201.6 | 191.9162.7–218.6 |
| 2076 | 157.3106.3–204.8 | 195166.9–218.9 |
| 2077 | 161.8115.3–206.2 | 194.1169.3–223.3 |
| 2078 | 158.1114–211.5 | 192.1168.4–218.6 |
| 2079 | 158.3109.9–212.9 | 193.4166.6–220.9 |
| 2080 | 162.8109.6–212.5 | 196.1169.2–222.4 |
| 2081 | 161.1112.7–207.9 | 194.6171–221.4 |
| 2082 | 161.2114.4–207.5 | 195.4168.8–219.9 |
| 2083 | 159.9106–216.6 | 194.6168.2–228.7 |
| 2084 | 169.2117.7–215.2 | 198.5170.7–224.2 |
| 2085 | 175118.5–226 | 198.4173.1–226.3 |
| 2086 | 160.3115.4–221.3 | 198.6172.3–228.4 |
| 2087 | 162.4118.5–223.3 | 199170.6–226.6 |
| 2088 | 169.9116–218.4 | 199170.7–227.7 |
| 2089 | 166.9119.1–220 | 198.6171.2–226.2 |
| 2090 | 165.8119.6–223.4 | 198.6173.4–227.7 |
| 2091 | 175.2120.2–229.1 | 203.6171.9–232.1 |
| 2092 | 172.5119.9–228.5 | 200.7172.5–229.7 |
| 2093 | 169.9116.3–228.6 | 201.4175.2–228.6 |
| 2094 | 172.3118.2–221 | 200.2174–228.9 |
| 2095 | 179122.5–229.5 | 203.9175.7–231.9 |
| 2096 | 170.5117.6–228.9 | 199.1170.5–230.8 |
| 2097 | 169.6116.1–222.1 | 198.4171.8–229.3 |
| 2098 | 174.6115.2–234.3 | 198.7172.1–231.5 |
| 2099 | 170.7118.3–232.7 | 201.8172.8–233.3 |
| 2100 | 173.4123.5–231 | 201.7175.1–231.8 |
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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
安哥拉与埃塞俄比亚对比
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军用
- 军费开支安哥拉:2025 年为 GDP 的 1.4%埃塞俄比亚:2025 年为 GDP 的 0.49%
- 军费开支(美元)安哥拉:2025 年为 US$12.6亿埃塞俄比亚:2025 年为 US$7.85亿
- 人均军费开支安哥拉:2025 年为 US$38埃塞俄比亚:2025 年为 US$4
- 军费占政府支出比例安哥拉:2025 年为 5.9%(占政府支出)埃塞俄比亚:2025 年为 4.1%(占政府支出)
- 武装部队人员安哥拉:2020 年为 117,000 人埃塞俄比亚:2020 年为 138,000 人
- 国家实力安哥拉:2022 年为 0.29%(占全球实力)埃塞俄比亚:2022 年为 0.85%(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)埃塞俄比亚:2020 年为 0.28%(占劳动力)
- 武器进口安哥拉:2025 年为 8400万 TIV埃塞俄比亚:2025 年为 6300万 TIV
- 武器出口安哥拉:2002 年为 200万 TIV埃塞俄比亚:1997 年为 1700万 TIV