贝宁与尼日尔对比
贝宁与尼日尔:热带夜
2014 年热带夜:贝宁为 333.9 夜,尼日尔为 221.6 夜(CMIP6 气候模型中位数模拟)。 2014 年贝宁的数值较高,高出 112.3 夜,是尼日尔的 1.51 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,贝宁的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年贝宁为 359.6 夜,尼日尔为 251.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 贝宁 | 尼日尔 |
|---|---|---|
| 2014 | 333.9 | 221.6 |
| 2013 | 328.9 | 216.1 |
| 2012 | 332.6 | 220.8 |
| 2011 | 330.1 | 220.1 |
| 2010 | 329.8 | 219.1 |
| 2009 | 325.2 | 217.2 |
| 2008 | 326.4 | 216.8 |
| 2007 | 325.2 | 216.9 |
| 2006 | 326.1 | 214.3 |
| 2005 | 324.3 | 213.6 |
| 2004 | 322.7 | 213.6 |
| 2003 | 327.4 | 215.5 |
| 2002 | 324 | 214.6 |
| 2001 | 329.4 | 213.4 |
| 2000 | 322.4 | 211.2 |
| 1999 | 317.9 | 210.4 |
| 1998 | 319.1 | 207.7 |
| 1997 | 320.6 | 211.5 |
| 1996 | 315.5 | 208.6 |
| 1995 | 316.5 | 208.3 |
| 1994 | 314.3 | 207.8 |
| 1993 | 313.5 | 202.6 |
| 1992 | 309.8 | 203.4 |
| 1991 | 316.1 | 209.4 |
| 1990 | 320.6 | 208.1 |
| 1989 | 313.1 | 206 |
| 1988 | 313.6 | 203 |
| 1987 | 313.3 | 204.9 |
| 1986 | 317.1 | 206.8 |
| 1985 | 314.6 | 203.9 |
| 1984 | 311.8 | 201.8 |
| 1983 | 308.8 | 200.5 |
| 1982 | 309.3 | 201.9 |
| 1981 | 314.8 | 204.3 |
| 1980 | 310.2 | 200.6 |
| 1979 | 311.9 | 200.5 |
| 1978 | 310 | 202 |
| 1977 | 314.4 | 203.8 |
| 1976 | 309.1 | 201.7 |
| 1975 | 307.3 | 199 |
| 1974 | 307.9 | 200.6 |
| 1973 | 311.8 | 202.6 |
| 1972 | 310.1 | 200.7 |
| 1971 | 305.9 | 200.8 |
| 1970 | 309.7 | 199.8 |
| 1969 | 305.9 | 196.1 |
| 1968 | 305.6 | 200.3 |
| 1967 | 305.6 | 196.6 |
| 1966 | 305.4 | 198.2 |
| 1965 | 306.1 | 199 |
| 1964 | 304.6 | 199.2 |
| 1963 | 304.6 | 196.7 |
| 1962 | 311.6 | 201.1 |
| 1961 | 307.4 | 198.2 |
| 1960 | 312.1 | 203.2 |
| 1959 | 312.4 | 201.6 |
| 1958 | 306.8 | 199.2 |
| 1957 | 311.8 | 201.1 |
| 1956 | 308.2 | 199.6 |
| 1955 | 308.6 | 199.7 |
| 1954 | 311.3 | 201.1 |
| 1953 | 307.4 | 196.5 |
| 1952 | 305.5 | 197.9 |
| 1951 | 309.4 | 199.8 |
| 1950 | 304.7 | 200.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 贝宁 | 尼日尔 |
|---|---|---|
| 2015 | 328.6309.6–343.6 | 218.8202.8–235.8 |
| 2016 | 330.8309.8–342.5 | 217.7201.8–230.6 |
| 2017 | 330311.6–342.9 | 222.4205.2–237.4 |
| 2018 | 331.2315.3–345.2 | 220.5206.3–238.8 |
| 2019 | 328.1308–346.4 | 219.1201.8–238.1 |
| 2020 | 330.1308.7–348.1 | 220.9206.9–234.7 |
| 2021 | 332.7314.3–347.2 | 222.8208.2–240.2 |
| 2022 | 334.9314.5–347.9 | 226.3209.7–239.2 |
| 2023 | 331.8310.2–346.4 | 223.2206.6–238.4 |
| 2024 | 340.3323.4–351.1 | 228.4214.3–242.9 |
| 2025 | 335315.9–346.3 | 226.7211.2–241 |
| 2026 | 335.9313.3–353.1 | 226.3210–243.1 |
| 2027 | 335.8315.2–349.1 | 228.5209.9–241.1 |
| 2028 | 340.1321.3–351.9 | 227.1211.9–240.2 |
| 2029 | 338.6323.1–350.8 | 230.4213.3–247.1 |
| 2030 | 339.7321.7–350 | 226.4211.6–242.2 |
| 2031 | 343.8323.3–354.6 | 230.1210.8–247.1 |
| 2032 | 340.8318.1–351.4 | 228.7212.3–241 |
| 2033 | 343.1320.1–354.4 | 229.9214.9–245.4 |
| 2034 | 339.8319.2–352.6 | 229.5212.1–244.9 |
| 2035 | 342.7322–354.2 | 232.3217.5–248 |
| 2036 | 341.8320.2–355.2 | 230.2213.7–244.6 |
| 2037 | 344324.8–353.5 | 233.2215.1–246.5 |
| 2038 | 346.6334.6–355.1 | 234.3218.2–249.7 |
| 2039 | 344.5327.1–355.1 | 231214.2–247.1 |
| 2040 | 346327.6–355.8 | 230.8214.8–247.5 |
| 2041 | 345.5331.9–357.4 | 232.6218.6–252.9 |
| 2042 | 343.9328.1–358.9 | 233.8216.2–250.5 |
| 2043 | 345.7326.6–355.4 | 232.5217.8–245.8 |
| 2044 | 347.3329.7–358.8 | 233.8218.2–250.1 |
| 2045 | 342.6328–358.9 | 233.6218.1–249.7 |
| 2046 | 347.9332.2–357.8 | 234.3217–250.2 |
| 2047 | 349.6330.6–358.7 | 238.4224.3–253.1 |
| 2048 | 349.8334.6–358.1 | 238221.4–254 |
| 2049 | 350.7333.4–359.3 | 237.7217.4–253 |
| 2050 | 351334–360.2 | 238.2220.7–254.5 |
| 2051 | 350338.1–359.9 | 236.3220.6–254.7 |
| 2052 | 348.6332.5–359.5 | 239.5224.3–255.8 |
| 2053 | 351.3331.1–359.3 | 236.3223.9–255.6 |
| 2054 | 353.3336.1–360.3 | 239.4220.2–257.9 |
| 2055 | 350.7336.5–359.7 | 238.6223.7–254.7 |
| 2056 | 353.4337.9–362 | 239214.7–260.3 |
| 2057 | 355339.4–361.3 | 240.4223–256.3 |
| 2058 | 352.5338–360.1 | 238.2220.2–255.7 |
| 2059 | 354.9338.8–361.9 | 243.9224.6–262.7 |
| 2060 | 353.2337.9–360.9 | 239.8222.6–260 |
| 2061 | 353.8331.6–362 | 242.5224.9–258.5 |
| 2062 | 353.5334.3–361.4 | 241.6222.4–259.8 |
| 2063 | 355.1335.9–361.9 | 241.3220.9–255.2 |
| 2064 | 353.9338–363.1 | 244.4225.9–259.5 |
| 2065 | 355.3343.1–362.4 | 242.8226.5–262.4 |
| 2066 | 352.4339.8–360.1 | 245.6227–263.5 |
| 2067 | 355.7336.9–362.9 | 240.7224.9–262 |
| 2068 | 357.5341.2–363.6 | 244224.3–265.4 |
| 2069 | 353.4339.4–362.3 | 243.9225.5–261.6 |
| 2070 | 354.4341–361.7 | 243.1225.6–261.3 |
| 2071 | 356.4338.9–362.8 | 246.1230.3–264 |
| 2072 | 357.8343.2–363.8 | 247.9229.9–263.7 |
| 2073 | 356.1339.2–362.4 | 243.4225.4–262.8 |
| 2074 | 355.1339–362.4 | 243.2224.4–264.6 |
| 2075 | 356.2344.1–363.5 | 244.3230.2–263.3 |
| 2076 | 357343.3–362.6 | 246.5228.5–266.6 |
| 2077 | 357.3343.8–363.1 | 250.1232.3–267.4 |
| 2078 | 357.9344.2–363.3 | 249.2230.8–264.5 |
| 2079 | 357.3347.1–362.8 | 244.4228.7–263.8 |
| 2080 | 358.9344.5–365.3 | 248.8230.4–267 |
| 2081 | 357.1341.4–363.9 | 247227.8–268.1 |
| 2082 | 357.1341.9–362.2 | 247230.6–264.4 |
| 2083 | 358.4346.7–363.4 | 247.3230.7–267.5 |
| 2084 | 357.9343.1–364.6 | 247.7229.4–265.2 |
| 2085 | 359.5346–364.2 | 248.9227–264.2 |
| 2086 | 359.2344.3–364.1 | 250.4230.9–269.5 |
| 2087 | 357.6343.8–364.2 | 245.8226.2–266.9 |
| 2088 | 358.5341.9–364.2 | 248.3226.7–271.1 |
| 2089 | 357.1346.7–363.7 | 251.9232.5–269.5 |
| 2090 | 359.7343.6–363.8 | 249.7227.7–267.4 |
| 2091 | 358.6342.2–364.1 | 248.9230.5–272.2 |
| 2092 | 359.3342.5–364.9 | 251229.8–274 |
| 2093 | 360.3348–364.4 | 249.9234.8–267 |
| 2094 | 359347.2–364.5 | 252.2234–267.5 |
| 2095 | 358.6345.9–364.3 | 251.1233–270.7 |
| 2096 | 359.2344.5–365.5 | 250.8234.8–270.4 |
| 2097 | 358.4343.3–363.8 | 250.2227.8–270.8 |
| 2098 | 358.2346.2–363.8 | 250.1228.1–268.5 |
| 2099 | 358344.6–363.9 | 251.9232.2–268.2 |
| 2100 | 359.6348.3–364.5 | 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
贝宁与尼日尔对比
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军用
- 军费开支贝宁:2025 年为 GDP 的 0.89%尼日尔:2025 年为 GDP 的 2.14%
- 军费开支(美元)贝宁:2025 年为 US$2.04亿尼日尔:2025 年为 US$4.5亿
- 人均军费开支贝宁:2025 年为 US$15尼日尔:2025 年为 US$18
- 军费占政府支出比例贝宁:2025 年为 4.8%(占政府支出)尼日尔:2025 年为 15.2%(占政府支出)
- 武装部队人员贝宁:2020 年为 12,000 人尼日尔:2020 年为 10,000 人
- 国家实力贝宁: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贝宁:2020 年为 0.21%(占劳动力)尼日尔:2020 年为 0.11%(占劳动力)
- 武器进口贝宁:2025 年为 400万 TIV尼日尔:2025 年为 400万 TIV