尼日利亚与苏丹对比
尼日利亚与苏丹:热带夜
2014 年热带夜:尼日利亚为 303.9 夜,苏丹为 242.4 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 61.5 夜,是苏丹的 1.25 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,尼日利亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年尼日利亚为 332.3 夜,苏丹为 278.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 尼日利亚 | 苏丹 |
|---|---|---|
| 2014 | 303.9 | 242.4 |
| 2013 | 299.5 | 240 |
| 2012 | 304.4 | 242 |
| 2011 | 301.5 | 242.2 |
| 2010 | 301.4 | 240.6 |
| 2009 | 297.8 | 236.5 |
| 2008 | 297.4 | 237.1 |
| 2007 | 298 | 236 |
| 2006 | 297.2 | 235.3 |
| 2005 | 295.4 | 233.1 |
| 2004 | 294.1 | 233.5 |
| 2003 | 298.4 | 235.6 |
| 2002 | 295.2 | 234.7 |
| 2001 | 299.1 | 235.4 |
| 2000 | 293.9 | 230.5 |
| 1999 | 290.3 | 232.1 |
| 1998 | 289.9 | 230.2 |
| 1997 | 292.5 | 231.1 |
| 1996 | 290 | 227.3 |
| 1995 | 289.1 | 227.8 |
| 1994 | 287.4 | 225.3 |
| 1993 | 284 | 219.1 |
| 1992 | 281.6 | 217.8 |
| 1991 | 289.1 | 227.3 |
| 1990 | 290.6 | 227.5 |
| 1989 | 287.2 | 223 |
| 1988 | 288 | 223.1 |
| 1987 | 285.6 | 224.4 |
| 1986 | 289.1 | 226.4 |
| 1985 | 284.2 | 222.1 |
| 1984 | 284.4 | 220.7 |
| 1983 | 281.9 | 217 |
| 1982 | 283.5 | 216.3 |
| 1981 | 286.4 | 223.2 |
| 1980 | 282.8 | 220 |
| 1979 | 283 | 218.4 |
| 1978 | 282.8 | 218.5 |
| 1977 | 285.9 | 219.3 |
| 1976 | 281.7 | 220.1 |
| 1975 | 280.4 | 215.7 |
| 1974 | 280.7 | 217.5 |
| 1973 | 284.3 | 220 |
| 1972 | 284.1 | 217.9 |
| 1971 | 279.3 | 215.5 |
| 1970 | 282 | 217 |
| 1969 | 278.7 | 213.1 |
| 1968 | 279.6 | 214 |
| 1967 | 278.1 | 210.3 |
| 1966 | 279.4 | 213.3 |
| 1965 | 279 | 213.4 |
| 1964 | 276.8 | 213.2 |
| 1963 | 275.1 | 210.1 |
| 1962 | 284.1 | 217 |
| 1961 | 281.9 | 216.9 |
| 1960 | 285.9 | 221.3 |
| 1959 | 282.8 | 217.8 |
| 1958 | 281.4 | 216.2 |
| 1957 | 283.3 | 218.9 |
| 1956 | 280.8 | 217.2 |
| 1955 | 280.4 | 216.6 |
| 1954 | 284.1 | 218.9 |
| 1953 | 280.4 | 215.1 |
| 1952 | 280.8 | 216.4 |
| 1951 | 284.2 | 218.5 |
| 1950 | 279.3 | 214.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 尼日利亚 | 苏丹 |
|---|---|---|
| 2015 | 301.7282.9–317.3 | 242.3225.3–258.3 |
| 2016 | 301.4280.8–312.5 | 241.4223.3–254.1 |
| 2017 | 302.5284.3–316.3 | 243.2223–259.1 |
| 2018 | 302.2286.8–316.5 | 242.3226.4–258.5 |
| 2019 | 300.1281.2–318 | 243.1221.7–260.4 |
| 2020 | 303283.7–318.5 | 244.9225.9–261.7 |
| 2021 | 305.1287.1–318.4 | 245.6229.1–261.5 |
| 2022 | 305.1286–319.5 | 249230.9–262.3 |
| 2023 | 305286.4–318.9 | 247.1226.8–263.1 |
| 2024 | 310.6295.1–321.5 | 251.5232.8–266.1 |
| 2025 | 307.5292–319.4 | 250.7232.4–265.6 |
| 2026 | 306.9286.1–322.9 | 250230.8–266.6 |
| 2027 | 307.4288–321.7 | 248.8228.4–265.6 |
| 2028 | 310.7293.4–322.6 | 249232.2–263.1 |
| 2029 | 311.4293.3–324.4 | 251.4232.1–266 |
| 2030 | 310.6294.1–322.5 | 252235.4–266.7 |
| 2031 | 312.2295–324.8 | 253.3234.4–268.9 |
| 2032 | 310290–323.5 | 250.4232.3–266.6 |
| 2033 | 313292.9–327 | 254.4235.3–269.4 |
| 2034 | 311.7294.8–325.1 | 254.2234.5–269.9 |
| 2035 | 314.5296.7–327.7 | 258.3240.2–273.6 |
| 2036 | 313.5294.1–326.5 | 252.8235.6–268.6 |
| 2037 | 315.6297.9–327.1 | 256.7238.6–271.8 |
| 2038 | 316.9301.2–329.6 | 258.7244.8–272.1 |
| 2039 | 315.4299.4–328.2 | 259.5241.2–272.5 |
| 2040 | 315.6297.9–327.4 | 256.4236.7–272.3 |
| 2041 | 316.8300.6–330.2 | 259.1241.2–274.5 |
| 2042 | 316.3300.3–330.3 | 258.7242–274.7 |
| 2043 | 316298.4–326 | 258.1240.3–272.6 |
| 2044 | 317.9299.5–329.6 | 257.3238.6–274.7 |
| 2045 | 316.6300.5–330.4 | 258.8243.1–276.2 |
| 2046 | 317.8302.2–330.7 | 261.1241.7–277.6 |
| 2047 | 319.8301.5–333 | 261.4244.6–278.4 |
| 2048 | 320.1302.4–331.7 | 260.4243.4–279.5 |
| 2049 | 320.7305.3–331.7 | 261.9242.6–275.9 |
| 2050 | 320.9304–335 | 263.5245.4–279 |
| 2051 | 321304.1–334.2 | 263.6246.6–278.8 |
| 2052 | 320.9303.9–333.5 | 263.8248.7–278.3 |
| 2053 | 320.9303.3–334.1 | 262.8242.4–279.2 |
| 2054 | 324.5304.5–338.2 | 266.3246.6–282.9 |
| 2055 | 322.2308.4–333.7 | 265.6245.9–281.4 |
| 2056 | 324.8305.8–336.3 | 264.1242.6–281.5 |
| 2057 | 326310.8–337.3 | 266.4247.6–283.4 |
| 2058 | 322.9307.4–334.2 | 265.2247.4–280.3 |
| 2059 | 325.7308.9–339 | 268.4249.6–285.4 |
| 2060 | 323.8307.5–337 | 263.6246.7–284.4 |
| 2061 | 324.4307.1–338.2 | 266.9250.1–281.9 |
| 2062 | 325.7308–339.3 | 266.4248.5–285 |
| 2063 | 326.6308.7–337 | 267.1246.9–283.4 |
| 2064 | 326.2311–339.8 | 269250.7–284.7 |
| 2065 | 327.6313.5–339.4 | 269.8253.9–285.6 |
| 2066 | 328.4311.3–339.6 | 271.4251.9–287.3 |
| 2067 | 326308.4–340.5 | 270.9250–288.4 |
| 2068 | 329.3311.2–342.9 | 271.9251.7–289.8 |
| 2069 | 326.6309.9–338.1 | 268251.1–286.2 |
| 2070 | 327.4312.6–340.7 | 269252.3–285.8 |
| 2071 | 329.1313–341.1 | 275.5254.1–290.4 |
| 2072 | 330.3315.9–342.1 | 273.3254.2–289.4 |
| 2073 | 326.3309.5–341 | 271.9250.7–287.6 |
| 2074 | 326.7311.4–341.4 | 270.9249–290.1 |
| 2075 | 328.9314.5–341.8 | 273.1254–291.9 |
| 2076 | 329.6313.4–342 | 272.7255.2–290.9 |
| 2077 | 332.5314.4–343.3 | 274.6255.2–292.7 |
| 2078 | 329.8312.8–342.1 | 274.3255.6–291.2 |
| 2079 | 329.6313.8–340.6 | 272255.2–288.5 |
| 2080 | 331.7314.1–344.8 | 276.6256–292.2 |
| 2081 | 329.3311.6–343.7 | 275.1254.1–294.8 |
| 2082 | 329.3313.3–341.4 | 272.9258.7–288.6 |
| 2083 | 330.4315–342.2 | 276.5258–291.7 |
| 2084 | 330.5311.9–344.2 | 275.4253–294.9 |
| 2085 | 332.7316.6–343.6 | 275.3258.6–291.6 |
| 2086 | 331.9316.3–343.6 | 276.4256.9–296.6 |
| 2087 | 330.7314.9–342.4 | 273.5253.1–293.3 |
| 2088 | 331.7313.2–342.7 | 273.6253.7–293.6 |
| 2089 | 331.1318.3–341.9 | 276.5256.6–293.4 |
| 2090 | 332.4312.7–343.9 | 276.6256.4–294.6 |
| 2091 | 333.3311–345.8 | 277.4256.4–296.6 |
| 2092 | 332.7313.8–345.7 | 274.6254.3–294.9 |
| 2093 | 334.2318.6–344.9 | 278261.9–292.1 |
| 2094 | 334.2317.3–345.6 | 280.3262.2–294 |
| 2095 | 333.8319.3–346.3 | 277.5262.6–294 |
| 2096 | 332.5317.4–346.7 | 279.7258.7–297 |
| 2097 | 331.8312.6–344.6 | 276.3254.1–297.6 |
| 2098 | 332.3316–343.7 | 277.7258.2–295.5 |
| 2099 | 333316.9–344.2 | 276.8257.2–296.2 |
| 2100 | 332.3318.5–345 | 278.6259–294.3 |
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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
尼日利亚与苏丹对比
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军用
- 军费开支尼日利亚:2025 年为 GDP 的 0.91%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)尼日利亚:2025 年为 US$17.6亿苏丹:2021 年为 US$27.7亿
- 人均军费开支尼日利亚:2025 年为 US$9苏丹:2021 年为 US$8
- 军费占政府支出比例尼日利亚:2025 年为 5.9%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员尼日利亚:2020 年为 223,000 人苏丹:2020 年为 144,000 人
- 国家实力尼日利亚:2022 年为 1.16%(占全球实力)苏丹:2022 年为 0.37%(占全球实力)
- 武装部队占劳动力比例尼日利亚:2020 年为 0.23%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口尼日利亚:2025 年为 2100万 TIV苏丹:2025 年为 5700万 TIV
- 武器出口尼日利亚:2022 年为 400万 TIV苏丹:2013 年为 1100万 TIV