几内亚与尼日尔对比
几内亚与尼日尔:热带夜
2014 年热带夜:几内亚为 286.6 夜,尼日尔为 221.6 夜(CMIP6 气候模型中位数模拟)。 2014 年几内亚的数值较高,高出 65 夜,是尼日尔的 1.29 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,几内亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年几内亚为 345.3 夜,尼日尔为 251.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 几内亚 | 尼日尔 |
|---|---|---|
| 2014 | 286.6 | 221.6 |
| 2013 | 285.3 | 216.1 |
| 2012 | 292.9 | 220.8 |
| 2011 | 288.8 | 220.1 |
| 2010 | 285.2 | 219.1 |
| 2009 | 282.5 | 217.2 |
| 2008 | 279 | 216.8 |
| 2007 | 278.9 | 216.9 |
| 2006 | 278.8 | 214.3 |
| 2005 | 278.9 | 213.6 |
| 2004 | 276 | 213.6 |
| 2003 | 279.6 | 215.5 |
| 2002 | 277.1 | 214.6 |
| 2001 | 279.8 | 213.4 |
| 2000 | 273.1 | 211.2 |
| 1999 | 267 | 210.4 |
| 1998 | 268.4 | 207.7 |
| 1997 | 266.6 | 211.5 |
| 1996 | 260.4 | 208.6 |
| 1995 | 260.3 | 208.3 |
| 1994 | 255 | 207.8 |
| 1993 | 246.6 | 202.6 |
| 1992 | 242.4 | 203.4 |
| 1991 | 264.3 | 209.4 |
| 1990 | 266.4 | 208.1 |
| 1989 | 259.7 | 206 |
| 1988 | 256.9 | 203 |
| 1987 | 258.4 | 204.9 |
| 1986 | 259.9 | 206.8 |
| 1985 | 252.6 | 203.9 |
| 1984 | 249.6 | 201.8 |
| 1983 | 248.4 | 200.5 |
| 1982 | 250 | 201.9 |
| 1981 | 253.5 | 204.3 |
| 1980 | 251.2 | 200.6 |
| 1979 | 251.2 | 200.5 |
| 1978 | 252 | 202 |
| 1977 | 250.4 | 203.8 |
| 1976 | 244 | 201.7 |
| 1975 | 242.3 | 199 |
| 1974 | 247.2 | 200.6 |
| 1973 | 249.3 | 202.6 |
| 1972 | 246.1 | 200.7 |
| 1971 | 244.5 | 200.8 |
| 1970 | 249 | 199.8 |
| 1969 | 241.2 | 196.1 |
| 1968 | 241.5 | 200.3 |
| 1967 | 233.3 | 196.6 |
| 1966 | 237.7 | 198.2 |
| 1965 | 239.8 | 199 |
| 1964 | 231 | 199.2 |
| 1963 | 225.8 | 196.7 |
| 1962 | 246.9 | 201.1 |
| 1961 | 246 | 198.2 |
| 1960 | 250.5 | 203.2 |
| 1959 | 244.8 | 201.6 |
| 1958 | 245.6 | 199.2 |
| 1957 | 247.5 | 201.1 |
| 1956 | 242.4 | 199.6 |
| 1955 | 243.5 | 199.7 |
| 1954 | 250.2 | 201.1 |
| 1953 | 241.2 | 196.5 |
| 1952 | 240.3 | 197.9 |
| 1951 | 248.8 | 199.8 |
| 1950 | 240.8 | 200.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 几内亚 | 尼日尔 |
|---|---|---|
| 2015 | 286.7259.9–308.5 | 218.8202.8–235.8 |
| 2016 | 288.9262.6–304 | 217.7201.8–230.6 |
| 2017 | 291.6265.5–311.4 | 222.4205.2–237.4 |
| 2018 | 295.6269.3–311.8 | 220.5206.3–238.8 |
| 2019 | 291.8266.8–313.6 | 219.1201.8–238.1 |
| 2020 | 291.2265.6–315.4 | 220.9206.9–234.7 |
| 2021 | 295.8268–316.3 | 222.8208.2–240.2 |
| 2022 | 299.9277.9–322.4 | 226.3209.7–239.2 |
| 2023 | 296273.8–318 | 223.2206.6–238.4 |
| 2024 | 302.3276.9–322.8 | 228.4214.3–242.9 |
| 2025 | 298.9275.2–322.4 | 226.7211.2–241 |
| 2026 | 302.5269.3–323.9 | 226.3210–243.1 |
| 2027 | 302.6276.3–320.2 | 228.5209.9–241.1 |
| 2028 | 308.2285.4–325.8 | 227.1211.9–240.2 |
| 2029 | 309.3280.6–327.2 | 230.4213.3–247.1 |
| 2030 | 305.5277.4–322.4 | 226.4211.6–242.2 |
| 2031 | 313.2282.2–329.6 | 230.1210.8–247.1 |
| 2032 | 307.7287.3–329.5 | 228.7212.3–241 |
| 2033 | 310.4282.4–337.8 | 229.9214.9–245.4 |
| 2034 | 308281.7–327.4 | 229.5212.1–244.9 |
| 2035 | 311.2284.9–333 | 232.3217.5–248 |
| 2036 | 312.8285.7–334.5 | 230.2213.7–244.6 |
| 2037 | 315.5291.8–331.1 | 233.2215.1–246.5 |
| 2038 | 317.9296.3–333.9 | 234.3218.2–249.7 |
| 2039 | 314.1291.6–336 | 231214.2–247.1 |
| 2040 | 316.1292.9–334.6 | 230.8214.8–247.5 |
| 2041 | 315.4296.5–335.7 | 232.6218.6–252.9 |
| 2042 | 316290.7–336.6 | 233.8216.2–250.5 |
| 2043 | 314.8291.1–332.7 | 232.5217.8–245.8 |
| 2044 | 319.8289.7–337.5 | 233.8218.2–250.1 |
| 2045 | 318.6296.4–339 | 233.6218.1–249.7 |
| 2046 | 321.4295.7–337 | 234.3217–250.2 |
| 2047 | 324.6297.9–342.8 | 238.4224.3–253.1 |
| 2048 | 324.8304.4–341.1 | 238221.4–254 |
| 2049 | 324.2302.4–340.2 | 237.7217.4–253 |
| 2050 | 322.4299.7–339.6 | 238.2220.7–254.5 |
| 2051 | 326.1300.4–342 | 236.3220.6–254.7 |
| 2052 | 324301.5–342.8 | 239.5224.3–255.8 |
| 2053 | 325.6298–345.3 | 236.3223.9–255.6 |
| 2054 | 329.5301.3–345.1 | 239.4220.2–257.9 |
| 2055 | 324.4305.3–342.4 | 238.6223.7–254.7 |
| 2056 | 329.6299.4–349.4 | 239214.7–260.3 |
| 2057 | 332.4301.5–351 | 240.4223–256.3 |
| 2058 | 328.8305.6–347.6 | 238.2220.2–255.7 |
| 2059 | 330.3310.8–350.5 | 243.9224.6–262.7 |
| 2060 | 328.3309.4–348.2 | 239.8222.6–260 |
| 2061 | 330.5304.6–352.8 | 242.5224.9–258.5 |
| 2062 | 327.7307.3–346.5 | 241.6222.4–259.8 |
| 2063 | 333.4311–349.1 | 241.3220.9–255.2 |
| 2064 | 330.9310.6–351.6 | 244.4225.9–259.5 |
| 2065 | 331.4309.7–350.6 | 242.8226.5–262.4 |
| 2066 | 331.8312.3–347.4 | 245.6227–263.5 |
| 2067 | 329.1304–348.6 | 240.7224.9–262 |
| 2068 | 335.4309.6–354.5 | 244224.3–265.4 |
| 2069 | 333.5313–351.4 | 243.9225.5–261.6 |
| 2070 | 331.7310.9–352.7 | 243.1225.6–261.3 |
| 2071 | 334.6315.6–352.4 | 246.1230.3–264 |
| 2072 | 338.3317–353.2 | 247.9229.9–263.7 |
| 2073 | 334309.7–351.6 | 243.4225.4–262.8 |
| 2074 | 330.2310.6–352 | 243.2224.4–264.6 |
| 2075 | 334312–352.2 | 244.3230.2–263.3 |
| 2076 | 338.4321.3–352.1 | 246.5228.5–266.6 |
| 2077 | 341.4318.4–355.6 | 250.1232.3–267.4 |
| 2078 | 338.1316.6–355.8 | 249.2230.8–264.5 |
| 2079 | 337.5318.8–355.3 | 244.4228.7–263.8 |
| 2080 | 339.8315.4–358 | 248.8230.4–267 |
| 2081 | 339.3318.2–356.6 | 247227.8–268.1 |
| 2082 | 337.9316.1–353.3 | 247230.6–264.4 |
| 2083 | 339.2320.8–355.8 | 247.3230.7–267.5 |
| 2084 | 340.5321–354.6 | 247.7229.4–265.2 |
| 2085 | 343.8319.9–358.1 | 248.9227–264.2 |
| 2086 | 342.2318.7–358.7 | 250.4230.9–269.5 |
| 2087 | 340.7319.9–357.6 | 245.8226.2–266.9 |
| 2088 | 341.2318.3–354.9 | 248.3226.7–271.1 |
| 2089 | 337.9318.6–354.8 | 251.9232.5–269.5 |
| 2090 | 341.1315–356 | 249.7227.7–267.4 |
| 2091 | 339.7319.7–355.5 | 248.9230.5–272.2 |
| 2092 | 339.7320.4–356.8 | 251229.8–274 |
| 2093 | 341.8325.1–356.2 | 249.9234.8–267 |
| 2094 | 342.2324–356.4 | 252.2234–267.5 |
| 2095 | 340.7323.5–359.3 | 251.1233–270.7 |
| 2096 | 343.2324–359.7 | 250.8234.8–270.4 |
| 2097 | 340.3313.8–353.8 | 250.2227.8–270.8 |
| 2098 | 339.9318.8–357 | 250.1228.1–268.5 |
| 2099 | 341.5324.6–355.9 | 251.9232.2–268.2 |
| 2100 | 345.3319.6–357.9 | 251.1234.5–271.5 |
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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
几内亚与尼日尔对比
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军用
- 军费开支几内亚:2025 年为 GDP 的 2.03%尼日尔:2025 年为 GDP 的 2.14%
- 军费开支(美元)几内亚:2025 年为 US$5.86亿尼日尔:2025 年为 US$4.5亿
- 人均军费开支几内亚:2025 年为 US$40尼日尔:2025 年为 US$18
- 军费占政府支出比例几内亚:2025 年为 10.6%(占政府支出)尼日尔:2025 年为 15.2%(占政府支出)
- 武装部队人员几内亚:2020 年为 13,000 人尼日尔:2020 年为 10,000 人
- 国家实力几内亚:2022 年为 0.07%(占全球实力)尼日尔:2022 年为 0.11%(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)尼日尔:2020 年为 0.11%(占劳动力)
- 武器进口几内亚:2025 年为 600万 TIV尼日尔:2025 年为 400万 TIV