安哥拉与南苏丹对比
安哥拉与南苏丹：热带夜
2014 年热带夜：安哥拉为 61.1 夜，南苏丹为 343.7 夜（CMIP6 气候模型中位数模拟）。 2014 年南苏丹的数值较高，高出 282.7 夜，是安哥拉的 5.63 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，南苏丹的数值都更高。
- 根据CMIP6 模型中位数（SSP2-4.5，中间路径），2100 年安哥拉为 173.4 夜，南苏丹为 361.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 安哥拉 | 南苏丹 |
|---|---|---|
| 2014 | 61.1 | 343.7 |
| 2013 | 62.3 | 342.1 |
| 2012 | 63.6 | 342.8 |
| 2011 | 59.9 | 343.3 |
| 2010 | 58.9 | 341.9 |
| 2009 | 56.9 | 338.8 |
| 2008 | 54.5 | 339.8 |
| 2007 | 54.6 | 336.9 |
| 2006 | 54 | 339 |
| 2005 | 53.8 | 336.8 |
| 2004 | 55.8 | 336.6 |
| 2003 | 55.3 | 338.9 |
| 2002 | 53.2 | 336.6 |
| 2001 | 55 | 338.7 |
| 2000 | 51.4 | 334.6 |
| 1999 | 48.1 | 331.8 |
| 1998 | 50.5 | 333.6 |
| 1997 | 47.9 | 334.5 |
| 1996 | 43.2 | 330.7 |
| 1995 | 43 | 329.6 |
| 1994 | 41.6 | 328.2 |
| 1993 | 35.9 | 321.9 |
| 1992 | 35.3 | 321.5 |
| 1991 | 45.5 | 329.1 |
| 1990 | 46.7 | 332.6 |
| 1989 | 43.8 | 329 |
| 1988 | 42.7 | 330.5 |
| 1987 | 42.7 | 328.8 |
| 1986 | 42.7 | 330.4 |
| 1985 | 39.3 | 327.1 |
| 1984 | 38.2 | 324.1 |
| 1983 | 37.8 | 322.8 |
| 1982 | 40.8 | 322.8 |
| 1981 | 42 | 329.9 |
| 1980 | 39.9 | 326.5 |
| 1979 | 39.1 | 325.3 |
| 1978 | 38.6 | 324.1 |
| 1977 | 38.6 | 325 |
| 1976 | 36.8 | 322.6 |
| 1975 | 38.1 | 320.8 |
| 1974 | 37.4 | 320.1 |
| 1973 | 38.7 | 325.4 |
| 1972 | 36.6 | 324.7 |
| 1971 | 36 | 319.9 |
| 1970 | 36.6 | 322.3 |
| 1969 | 36.5 | 318.5 |
| 1968 | 34.5 | 318.3 |
| 1967 | 32.4 | 315.6 |
| 1966 | 34.3 | 317.2 |
| 1965 | 34.2 | 316.5 |
| 1964 | 31.5 | 312.9 |
| 1963 | 30.5 | 309.8 |
| 1962 | 37.6 | 323.9 |
| 1961 | 37.3 | 323.3 |
| 1960 | 38.7 | 324.8 |
| 1959 | 38 | 321.5 |
| 1958 | 37.3 | 320.2 |
| 1957 | 38 | 322.1 |
| 1956 | 35.1 | 319.5 |
| 1955 | 37.5 | 317 |
| 1954 | 36.5 | 322.4 |
| 1953 | 36.2 | 321.6 |
| 1952 | 37.3 | 322.4 |
| 1951 | 37.4 | 323.9 |
| 1950 | 36.5 | 318.6 |
CMIP6 模型中位数（SSP2-4.5，中间路径） · 2015–2100
| 年份 | 安哥拉 | 南苏丹 |
|---|---|---|
| 2015 | 67.946.7–89.4 | 342.7327.5–353.3 |
| 2016 | 63.143.9–82.7 | 342.1325.1–351.1 |
| 2017 | 68.248.7–87.9 | 344.5326.9–353.7 |
| 2018 | 69.250.6–90.9 | 344.1324.9–353.7 |
| 2019 | 69.547.5–97.7 | 344.5324–354.2 |
| 2020 | 7351.1–97.1 | 344.9326.9–355.6 |
| 2021 | 75.654.9–97.2 | 347.3329.2–355.3 |
| 2022 | 78.758–105.7 | 344.5326.1–355.5 |
| 2023 | 78.357.5–103.3 | 347.2329.2–357 |
| 2024 | 83.457.6–108.1 | 350.4331.6–357.9 |
| 2025 | 79.154–111.7 | 347.1330.2–357.7 |
| 2026 | 82.455.4–117.5 | 347.6329.5–356.7 |
| 2027 | 84.157.6–115.3 | 346327.1–356.1 |
| 2028 | 85.862.6–117.4 | 349.4333.5–357.3 |
| 2029 | 9165.8–120 | 348.6337.5–355.6 |
| 2030 | 87.661.6–119.2 | 349.3335.5–357.2 |
| 2031 | 92.363.9–122.5 | 351.3336.3–357.6 |
| 2032 | 9566.1–124.5 | 348.6333.6–357.7 |
| 2033 | 92.766.8–125 | 350.8336.7–359.4 |
| 2034 | 91.466.7–131.8 | 350.2337.5–358.3 |
| 2035 | 96.364.7–131.8 | 352.3331–359.5 |
| 2036 | 95.964.2–129 | 352340.8–359.1 |
| 2037 | 103.870.4–136.7 | 351.9337.4–359.5 |
| 2038 | 105.376.7–136.8 | 354.3341.9–359.6 |
| 2039 | 99.367–137.4 | 353.8340.6–360 |
| 2040 | 100.569.2–143.1 | 353.5338.7–360.2 |
| 2041 | 109.975.5–145.2 | 353.2336.9–360.2 |
| 2042 | 10775.4–153.1 | 351.9336.9–360.3 |
| 2043 | 102.572.6–148.6 | 353.2336.2–359.5 |
| 2044 | 106.872.1–147.2 | 353.7339.9–361.1 |
| 2045 | 107.276.5–148.5 | 353.7342.2–360.6 |
| 2046 | 119.383.6–159.4 | 355.4342.2–361 |
| 2047 | 123.483.9–157.3 | 355.7344–361.2 |
| 2048 | 121.483.1–161.4 | 354.7342.5–361.6 |
| 2049 | 122.883.6–165.9 | 356.7346.4–361.1 |
| 2050 | 124.786.1–168.1 | 356.8345.6–361.7 |
| 2051 | 122.389.3–169.4 | 356345.4–361.8 |
| 2052 | 127.289.2–173.9 | 355.3343.8–362.2 |
| 2053 | 124.885.7–169.4 | 355.5343.4–361.7 |
| 2054 | 129.386.8–169.7 | 356.9345.2–362.1 |
| 2055 | 127.194.6–174.1 | 356.9345–361.7 |
| 2056 | 130.688.2–184.1 | 356.7345.7–363.1 |
| 2057 | 137.790.4–179.2 | 358.4349.2–362.6 |
| 2058 | 134.592.1–179.4 | 357.7345–361.8 |
| 2059 | 136.698.3–189.8 | 358.6348.4–362.6 |
| 2060 | 145.896.6–186.9 | 357.7344.7–363.8 |
| 2061 | 136.989.6–192.5 | 358.2345.8–362.7 |
| 2062 | 140.689.9–190 | 357.4345.2–363.1 |
| 2063 | 142.592.2–189.4 | 358.8347.3–362.6 |
| 2064 | 142.295.4–186.9 | 358.9348.4–363.3 |
| 2065 | 144.2101–193.2 | 359.1351.1–362.9 |
| 2066 | 144.2100.5–193.3 | 359.2350.6–363.1 |
| 2067 | 142.496.2–194.4 | 358.6347.6–363.3 |
| 2068 | 150.1103.4–196.7 | 359.9350.3–364.4 |
| 2069 | 145.898.5–197.6 | 357.6347–363.1 |
| 2070 | 143.196.6–202.5 | 359.5350.4–363 |
| 2071 | 151.7103.6–205.4 | 359.6350.5–363.2 |
| 2072 | 158.8110.5–197.3 | 360.2348.4–364.2 |
| 2073 | 159.8114–208.3 | 359.3350.3–363.5 |
| 2074 | 151.1103.1–205.9 | 359.5348–363.3 |
| 2075 | 148.7100.3–201.6 | 359.9348.5–363.4 |
| 2076 | 157.3106.3–204.8 | 359.4350.5–364 |
| 2077 | 161.8115.3–206.2 | 359.9352.2–363.7 |
| 2078 | 158.1114–211.5 | 360351.2–363.4 |
| 2079 | 158.3109.9–212.9 | 359.8350.9–363.3 |
| 2080 | 162.8109.6–212.5 | 361.3349.8–364.6 |
| 2081 | 161.1112.7–207.9 | 360.4350.5–363.9 |
| 2082 | 161.2114.4–207.5 | 360.3351–363.3 |
| 2083 | 159.9106–216.6 | 360351.1–363.8 |
| 2084 | 169.2117.7–215.2 | 360.8350.8–364.9 |
| 2085 | 175118.5–226 | 361352.3–363.7 |
| 2086 | 160.3115.4–221.3 | 360.4352.5–364.1 |
| 2087 | 162.4118.5–223.3 | 359.7347.8–363.8 |
| 2088 | 169.9116–218.4 | 360.3352.2–364.7 |
| 2089 | 166.9119.1–220 | 360.2352.3–363.8 |
| 2090 | 165.8119.6–223.4 | 360.2351.3–363.9 |
| 2091 | 175.2120.2–229.1 | 360.9351.6–364.1 |
| 2092 | 172.5119.9–228.5 | 360.7352.4–364.7 |
| 2093 | 169.9116.3–228.6 | 361.6354.1–363.9 |
| 2094 | 172.3118.2–221 | 361.3353.8–364.3 |
| 2095 | 179122.5–229.5 | 361.5353.2–364 |
| 2096 | 170.5117.6–228.9 | 361.1352.8–365.1 |
| 2097 | 169.6116.1–222.1 | 360.7351.9–364.2 |
| 2098 | 174.6115.2–234.3 | 361.5352.6–364.1 |
| 2099 | 170.7118.3–232.7 | 361.2352.4–364.1 |
| 2100 | 173.4123.5–231 | 361.1352.6–364.2 |
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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
安哥拉与南苏丹对比
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%南苏丹：2025 年为 GDP 的 3.43%
- 军费开支（美元）安哥拉：2025 年为 US$12.6亿南苏丹：2025 年为 US$1.03亿
- 人均军费开支安哥拉：2025 年为 US$38南苏丹：2025 年为 US$15
- 军费占政府支出比例安哥拉：2025 年为 5.9%（占政府支出）南苏丹：2025 年为 18.4%（占政府支出）
- 武装部队人员安哥拉：2020 年为 117,000 人南苏丹：2020 年为 53,000 人
- 国家实力安哥拉：2022 年为 0.29%（占全球实力）南苏丹：2022 年为 0.08%（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）南苏丹：2020 年为 1.18%（占劳动力）
- 武器进口安哥拉：2025 年为 8400万 TIV南苏丹：2022 年为 1000万 TIV