几内亚与南苏丹对比
几内亚与南苏丹:热带夜
2014 年热带夜:几内亚为 286.6 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 57.1 夜,是几内亚的 1.2 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 年几内亚为 345.3 夜,南苏丹为 361.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 几内亚 | 南苏丹 |
|---|---|---|
| 2014 | 286.6 | 343.7 |
| 2013 | 285.3 | 342.1 |
| 2012 | 292.9 | 342.8 |
| 2011 | 288.8 | 343.3 |
| 2010 | 285.2 | 341.9 |
| 2009 | 282.5 | 338.8 |
| 2008 | 279 | 339.8 |
| 2007 | 278.9 | 336.9 |
| 2006 | 278.8 | 339 |
| 2005 | 278.9 | 336.8 |
| 2004 | 276 | 336.6 |
| 2003 | 279.6 | 338.9 |
| 2002 | 277.1 | 336.6 |
| 2001 | 279.8 | 338.7 |
| 2000 | 273.1 | 334.6 |
| 1999 | 267 | 331.8 |
| 1998 | 268.4 | 333.6 |
| 1997 | 266.6 | 334.5 |
| 1996 | 260.4 | 330.7 |
| 1995 | 260.3 | 329.6 |
| 1994 | 255 | 328.2 |
| 1993 | 246.6 | 321.9 |
| 1992 | 242.4 | 321.5 |
| 1991 | 264.3 | 329.1 |
| 1990 | 266.4 | 332.6 |
| 1989 | 259.7 | 329 |
| 1988 | 256.9 | 330.5 |
| 1987 | 258.4 | 328.8 |
| 1986 | 259.9 | 330.4 |
| 1985 | 252.6 | 327.1 |
| 1984 | 249.6 | 324.1 |
| 1983 | 248.4 | 322.8 |
| 1982 | 250 | 322.8 |
| 1981 | 253.5 | 329.9 |
| 1980 | 251.2 | 326.5 |
| 1979 | 251.2 | 325.3 |
| 1978 | 252 | 324.1 |
| 1977 | 250.4 | 325 |
| 1976 | 244 | 322.6 |
| 1975 | 242.3 | 320.8 |
| 1974 | 247.2 | 320.1 |
| 1973 | 249.3 | 325.4 |
| 1972 | 246.1 | 324.7 |
| 1971 | 244.5 | 319.9 |
| 1970 | 249 | 322.3 |
| 1969 | 241.2 | 318.5 |
| 1968 | 241.5 | 318.3 |
| 1967 | 233.3 | 315.6 |
| 1966 | 237.7 | 317.2 |
| 1965 | 239.8 | 316.5 |
| 1964 | 231 | 312.9 |
| 1963 | 225.8 | 309.8 |
| 1962 | 246.9 | 323.9 |
| 1961 | 246 | 323.3 |
| 1960 | 250.5 | 324.8 |
| 1959 | 244.8 | 321.5 |
| 1958 | 245.6 | 320.2 |
| 1957 | 247.5 | 322.1 |
| 1956 | 242.4 | 319.5 |
| 1955 | 243.5 | 317 |
| 1954 | 250.2 | 322.4 |
| 1953 | 241.2 | 321.6 |
| 1952 | 240.3 | 322.4 |
| 1951 | 248.8 | 323.9 |
| 1950 | 240.8 | 318.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 几内亚 | 南苏丹 |
|---|---|---|
| 2015 | 286.7259.9–308.5 | 342.7327.5–353.3 |
| 2016 | 288.9262.6–304 | 342.1325.1–351.1 |
| 2017 | 291.6265.5–311.4 | 344.5326.9–353.7 |
| 2018 | 295.6269.3–311.8 | 344.1324.9–353.7 |
| 2019 | 291.8266.8–313.6 | 344.5324–354.2 |
| 2020 | 291.2265.6–315.4 | 344.9326.9–355.6 |
| 2021 | 295.8268–316.3 | 347.3329.2–355.3 |
| 2022 | 299.9277.9–322.4 | 344.5326.1–355.5 |
| 2023 | 296273.8–318 | 347.2329.2–357 |
| 2024 | 302.3276.9–322.8 | 350.4331.6–357.9 |
| 2025 | 298.9275.2–322.4 | 347.1330.2–357.7 |
| 2026 | 302.5269.3–323.9 | 347.6329.5–356.7 |
| 2027 | 302.6276.3–320.2 | 346327.1–356.1 |
| 2028 | 308.2285.4–325.8 | 349.4333.5–357.3 |
| 2029 | 309.3280.6–327.2 | 348.6337.5–355.6 |
| 2030 | 305.5277.4–322.4 | 349.3335.5–357.2 |
| 2031 | 313.2282.2–329.6 | 351.3336.3–357.6 |
| 2032 | 307.7287.3–329.5 | 348.6333.6–357.7 |
| 2033 | 310.4282.4–337.8 | 350.8336.7–359.4 |
| 2034 | 308281.7–327.4 | 350.2337.5–358.3 |
| 2035 | 311.2284.9–333 | 352.3331–359.5 |
| 2036 | 312.8285.7–334.5 | 352340.8–359.1 |
| 2037 | 315.5291.8–331.1 | 351.9337.4–359.5 |
| 2038 | 317.9296.3–333.9 | 354.3341.9–359.6 |
| 2039 | 314.1291.6–336 | 353.8340.6–360 |
| 2040 | 316.1292.9–334.6 | 353.5338.7–360.2 |
| 2041 | 315.4296.5–335.7 | 353.2336.9–360.2 |
| 2042 | 316290.7–336.6 | 351.9336.9–360.3 |
| 2043 | 314.8291.1–332.7 | 353.2336.2–359.5 |
| 2044 | 319.8289.7–337.5 | 353.7339.9–361.1 |
| 2045 | 318.6296.4–339 | 353.7342.2–360.6 |
| 2046 | 321.4295.7–337 | 355.4342.2–361 |
| 2047 | 324.6297.9–342.8 | 355.7344–361.2 |
| 2048 | 324.8304.4–341.1 | 354.7342.5–361.6 |
| 2049 | 324.2302.4–340.2 | 356.7346.4–361.1 |
| 2050 | 322.4299.7–339.6 | 356.8345.6–361.7 |
| 2051 | 326.1300.4–342 | 356345.4–361.8 |
| 2052 | 324301.5–342.8 | 355.3343.8–362.2 |
| 2053 | 325.6298–345.3 | 355.5343.4–361.7 |
| 2054 | 329.5301.3–345.1 | 356.9345.2–362.1 |
| 2055 | 324.4305.3–342.4 | 356.9345–361.7 |
| 2056 | 329.6299.4–349.4 | 356.7345.7–363.1 |
| 2057 | 332.4301.5–351 | 358.4349.2–362.6 |
| 2058 | 328.8305.6–347.6 | 357.7345–361.8 |
| 2059 | 330.3310.8–350.5 | 358.6348.4–362.6 |
| 2060 | 328.3309.4–348.2 | 357.7344.7–363.8 |
| 2061 | 330.5304.6–352.8 | 358.2345.8–362.7 |
| 2062 | 327.7307.3–346.5 | 357.4345.2–363.1 |
| 2063 | 333.4311–349.1 | 358.8347.3–362.6 |
| 2064 | 330.9310.6–351.6 | 358.9348.4–363.3 |
| 2065 | 331.4309.7–350.6 | 359.1351.1–362.9 |
| 2066 | 331.8312.3–347.4 | 359.2350.6–363.1 |
| 2067 | 329.1304–348.6 | 358.6347.6–363.3 |
| 2068 | 335.4309.6–354.5 | 359.9350.3–364.4 |
| 2069 | 333.5313–351.4 | 357.6347–363.1 |
| 2070 | 331.7310.9–352.7 | 359.5350.4–363 |
| 2071 | 334.6315.6–352.4 | 359.6350.5–363.2 |
| 2072 | 338.3317–353.2 | 360.2348.4–364.2 |
| 2073 | 334309.7–351.6 | 359.3350.3–363.5 |
| 2074 | 330.2310.6–352 | 359.5348–363.3 |
| 2075 | 334312–352.2 | 359.9348.5–363.4 |
| 2076 | 338.4321.3–352.1 | 359.4350.5–364 |
| 2077 | 341.4318.4–355.6 | 359.9352.2–363.7 |
| 2078 | 338.1316.6–355.8 | 360351.2–363.4 |
| 2079 | 337.5318.8–355.3 | 359.8350.9–363.3 |
| 2080 | 339.8315.4–358 | 361.3349.8–364.6 |
| 2081 | 339.3318.2–356.6 | 360.4350.5–363.9 |
| 2082 | 337.9316.1–353.3 | 360.3351–363.3 |
| 2083 | 339.2320.8–355.8 | 360351.1–363.8 |
| 2084 | 340.5321–354.6 | 360.8350.8–364.9 |
| 2085 | 343.8319.9–358.1 | 361352.3–363.7 |
| 2086 | 342.2318.7–358.7 | 360.4352.5–364.1 |
| 2087 | 340.7319.9–357.6 | 359.7347.8–363.8 |
| 2088 | 341.2318.3–354.9 | 360.3352.2–364.7 |
| 2089 | 337.9318.6–354.8 | 360.2352.3–363.8 |
| 2090 | 341.1315–356 | 360.2351.3–363.9 |
| 2091 | 339.7319.7–355.5 | 360.9351.6–364.1 |
| 2092 | 339.7320.4–356.8 | 360.7352.4–364.7 |
| 2093 | 341.8325.1–356.2 | 361.6354.1–363.9 |
| 2094 | 342.2324–356.4 | 361.3353.8–364.3 |
| 2095 | 340.7323.5–359.3 | 361.5353.2–364 |
| 2096 | 343.2324–359.7 | 361.1352.8–365.1 |
| 2097 | 340.3313.8–353.8 | 360.7351.9–364.2 |
| 2098 | 339.9318.8–357 | 361.5352.6–364.1 |
| 2099 | 341.5324.6–355.9 | 361.2352.4–364.1 |
| 2100 | 345.3319.6–357.9 | 361.1352.6–364.2 |
分别查看各国
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
几内亚与南苏丹对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支几内亚:2025 年为 GDP 的 2.03%南苏丹:2025 年为 GDP 的 3.43%
- 军费开支(美元)几内亚:2025 年为 US$5.86亿南苏丹:2025 年为 US$1.03亿
- 人均军费开支几内亚:2025 年为 US$40南苏丹:2025 年为 US$15
- 军费占政府支出比例几内亚:2025 年为 10.6%(占政府支出)南苏丹:2025 年为 18.4%(占政府支出)
- 武装部队人员几内亚:2020 年为 13,000 人南苏丹:2020 年为 53,000 人
- 国家实力几内亚:2022 年为 0.07%(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几内亚:2020 年为 0.32%(占劳动力)南苏丹:2020 年为 1.18%(占劳动力)
- 武器进口几内亚:2025 年为 600万 TIV南苏丹:2022 年为 1000万 TIV