莫桑比克与尼日利亚对比
莫桑比克与尼日利亚:热带夜
2014 年热带夜:莫桑比克为 186.3 夜,尼日利亚为 303.9 夜(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 117.6 夜,是莫桑比克的 1.63 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,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 年莫桑比克为 254.4 夜,尼日利亚为 332.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 莫桑比克 | 尼日利亚 |
|---|---|---|
| 2014 | 186.3 | 303.9 |
| 2013 | 186.9 | 299.5 |
| 2012 | 185.2 | 304.4 |
| 2011 | 184.1 | 301.5 |
| 2010 | 182.2 | 301.4 |
| 2009 | 178.2 | 297.8 |
| 2008 | 176.8 | 297.4 |
| 2007 | 178.9 | 298 |
| 2006 | 177.4 | 297.2 |
| 2005 | 176.9 | 295.4 |
| 2004 | 181 | 294.1 |
| 2003 | 180 | 298.4 |
| 2002 | 177.1 | 295.2 |
| 2001 | 180.6 | 299.1 |
| 2000 | 173.6 | 293.9 |
| 1999 | 171.5 | 290.3 |
| 1998 | 174.1 | 289.9 |
| 1997 | 169.9 | 292.5 |
| 1996 | 164.7 | 290 |
| 1995 | 165.8 | 289.1 |
| 1994 | 163.1 | 287.4 |
| 1993 | 155.5 | 284 |
| 1992 | 156 | 281.6 |
| 1991 | 167.5 | 289.1 |
| 1990 | 170.2 | 290.6 |
| 1989 | 164 | 287.2 |
| 1988 | 166.4 | 288 |
| 1987 | 166 | 285.6 |
| 1986 | 166.6 | 289.1 |
| 1985 | 159.3 | 284.2 |
| 1984 | 161.1 | 284.4 |
| 1983 | 159.7 | 281.9 |
| 1982 | 160.6 | 283.5 |
| 1981 | 164.5 | 286.4 |
| 1980 | 161.9 | 282.8 |
| 1979 | 162.2 | 283 |
| 1978 | 160.2 | 282.8 |
| 1977 | 160.2 | 285.9 |
| 1976 | 157.4 | 281.7 |
| 1975 | 157.7 | 280.4 |
| 1974 | 159.1 | 280.7 |
| 1973 | 160.4 | 284.3 |
| 1972 | 157.6 | 284.1 |
| 1971 | 155.6 | 279.3 |
| 1970 | 159.7 | 282 |
| 1969 | 157.8 | 278.7 |
| 1968 | 153 | 279.6 |
| 1967 | 152.8 | 278.1 |
| 1966 | 152.5 | 279.4 |
| 1965 | 153.1 | 279 |
| 1964 | 145.9 | 276.8 |
| 1963 | 146.8 | 275.1 |
| 1962 | 158.5 | 284.1 |
| 1961 | 158.8 | 281.9 |
| 1960 | 160.6 | 285.9 |
| 1959 | 159.7 | 282.8 |
| 1958 | 159.5 | 281.4 |
| 1957 | 156.9 | 283.3 |
| 1956 | 153.4 | 280.8 |
| 1955 | 159.6 | 280.4 |
| 1954 | 155.4 | 284.1 |
| 1953 | 156.8 | 280.4 |
| 1952 | 156.6 | 280.8 |
| 1951 | 157.4 | 284.2 |
| 1950 | 156.3 | 279.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 莫桑比克 | 尼日利亚 |
|---|---|---|
| 2015 | 191170.1–212.1 | 301.7282.9–317.3 |
| 2016 | 187.6168.6–208.2 | 301.4280.8–312.5 |
| 2017 | 190.1169.4–210.1 | 302.5284.3–316.3 |
| 2018 | 189.8163.6–212.8 | 302.2286.8–316.5 |
| 2019 | 189.7171.9–208.8 | 300.1281.2–318 |
| 2020 | 191.3169–213.8 | 303283.7–318.5 |
| 2021 | 193.1172.7–212.9 | 305.1287.1–318.4 |
| 2022 | 199.9176.3–216.7 | 305.1286–319.5 |
| 2023 | 196.8176.4–217.3 | 305286.4–318.9 |
| 2024 | 199.7173.4–222.8 | 310.6295.1–321.5 |
| 2025 | 195.7173–219.1 | 307.5292–319.4 |
| 2026 | 197.7172.6–219.3 | 306.9286.1–322.9 |
| 2027 | 199.9177.9–221.8 | 307.4288–321.7 |
| 2028 | 202.5181.1–221.1 | 310.7293.4–322.6 |
| 2029 | 207.6187.3–227.3 | 311.4293.3–324.4 |
| 2030 | 203.6183.2–223.8 | 310.6294.1–322.5 |
| 2031 | 207.3188.7–225 | 312.2295–324.8 |
| 2032 | 207.4186.7–230.9 | 310290–323.5 |
| 2033 | 206.1180.7–226.1 | 313292.9–327 |
| 2034 | 206.3181.3–227.7 | 311.7294.8–325.1 |
| 2035 | 208.2184.1–233.6 | 314.5296.7–327.7 |
| 2036 | 208.3183.8–226.4 | 313.5294.1–326.5 |
| 2037 | 213.7191.8–234.3 | 315.6297.9–327.1 |
| 2038 | 218.4195.7–240.9 | 316.9301.2–329.6 |
| 2039 | 212.6192.3–233.5 | 315.4299.4–328.2 |
| 2040 | 212.7189–233.9 | 315.6297.9–327.4 |
| 2041 | 213.1187.1–238 | 316.8300.6–330.2 |
| 2042 | 214.9190.4–241.3 | 316.3300.3–330.3 |
| 2043 | 216196.2–238.9 | 316298.4–326 |
| 2044 | 220.2196.1–242.1 | 317.9299.5–329.6 |
| 2045 | 217.2198.6–237.6 | 316.6300.5–330.4 |
| 2046 | 224.4200.5–247.6 | 317.8302.2–330.7 |
| 2047 | 224.5201.3–246.3 | 319.8301.5–333 |
| 2048 | 225.7205–247.5 | 320.1302.4–331.7 |
| 2049 | 226.4199.2–247.8 | 320.7305.3–331.7 |
| 2050 | 225.5198.1–246.6 | 320.9304–335 |
| 2051 | 227.5206.2–248.7 | 321304.1–334.2 |
| 2052 | 230.5208.6–255.2 | 320.9303.9–333.5 |
| 2053 | 226.3200.4–250 | 320.9303.3–334.1 |
| 2054 | 227.8203.9–256.1 | 324.5304.5–338.2 |
| 2055 | 231.5208.3–254.4 | 322.2308.4–333.7 |
| 2056 | 227.8204.6–253.1 | 324.8305.8–336.3 |
| 2057 | 227.6205.7–252.2 | 326310.8–337.3 |
| 2058 | 230.2208.3–251.8 | 322.9307.4–334.2 |
| 2059 | 235.5212.5–261.4 | 325.7308.9–339 |
| 2060 | 237.5208.9–257.9 | 323.8307.5–337 |
| 2061 | 232.1204.8–256.1 | 324.4307.1–338.2 |
| 2062 | 233.2208.6–257.9 | 325.7308–339.3 |
| 2063 | 233.3207.3–261.6 | 326.6308.7–337 |
| 2064 | 234.6209.3–255.8 | 326.2311–339.8 |
| 2065 | 236208.7–261 | 327.6313.5–339.4 |
| 2066 | 239.4213.6–261.8 | 328.4311.3–339.6 |
| 2067 | 235.5205.9–259.4 | 326308.4–340.5 |
| 2068 | 237.7211–264.3 | 329.3311.2–342.9 |
| 2069 | 241.1212.2–263.4 | 326.6309.9–338.1 |
| 2070 | 240.7212.1–266 | 327.4312.6–340.7 |
| 2071 | 244.1214.3–272.8 | 329.1313–341.1 |
| 2072 | 244.7215.8–267.8 | 330.3315.9–342.1 |
| 2073 | 246214.2–267.6 | 326.3309.5–341 |
| 2074 | 242.2219.9–271.1 | 326.7311.4–341.4 |
| 2075 | 244.4215.6–267.9 | 328.9314.5–341.8 |
| 2076 | 240.8211–264.8 | 329.6313.4–342 |
| 2077 | 241.4214.7–272.4 | 332.5314.4–343.3 |
| 2078 | 245.4220.8–271.1 | 329.8312.8–342.1 |
| 2079 | 244.1214.3–276.4 | 329.6313.8–340.6 |
| 2080 | 246.1221–273.6 | 331.7314.1–344.8 |
| 2081 | 245.6214.5–268.1 | 329.3311.6–343.7 |
| 2082 | 246.9220.6–268.3 | 329.3313.3–341.4 |
| 2083 | 247.3217.4–276.4 | 330.4315–342.2 |
| 2084 | 248.5223.3–270.9 | 330.5311.9–344.2 |
| 2085 | 253.4221.5–277.6 | 332.7316.6–343.6 |
| 2086 | 242.9216.4–272.3 | 331.9316.3–343.6 |
| 2087 | 247.4222.8–271.3 | 330.7314.9–342.4 |
| 2088 | 253221.1–274.9 | 331.7313.2–342.7 |
| 2089 | 251.6221.9–277.3 | 331.1318.3–341.9 |
| 2090 | 249.9218.6–277.9 | 332.4312.7–343.9 |
| 2091 | 253.2221.4–280.8 | 333.3311–345.8 |
| 2092 | 252.7221.5–279.5 | 332.7313.8–345.7 |
| 2093 | 256221.7–279.4 | 334.2318.6–344.9 |
| 2094 | 251.8221–280.3 | 334.2317.3–345.6 |
| 2095 | 255.6225.8–278.1 | 333.8319.3–346.3 |
| 2096 | 254.7225.8–280.4 | 332.5317.4–346.7 |
| 2097 | 253.2221.8–281.6 | 331.8312.6–344.6 |
| 2098 | 256.1225.2–279.6 | 332.3316–343.7 |
| 2099 | 254.9223.4–278.7 | 333316.9–344.2 |
| 2100 | 254.4226.1–279.1 | 332.3318.5–345 |
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
莫桑比克与尼日利亚对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支莫桑比克:2025 年为 GDP 的 1.87%尼日利亚:2025 年为 GDP 的 0.91%
- 军费开支(美元)莫桑比克:2025 年为 US$4.46亿尼日利亚:2025 年为 US$17.6亿
- 人均军费开支莫桑比克:2025 年为 US$13尼日利亚:2025 年为 US$9
- 军费占政府支出比例莫桑比克:2025 年为 6%(占政府支出)尼日利亚:2025 年为 5.9%(占政府支出)
- 武装部队人员莫桑比克:2020 年为 11,000 人尼日利亚:2020 年为 223,000 人
- 国家实力莫桑比克:2022 年为 0.13%(占全球实力)尼日利亚:2022 年为 1.16%(占全球实力)
- 武装部队占劳动力比例莫桑比克:2020 年为 0.08%(占劳动力)尼日利亚:2020 年为 0.23%(占劳动力)
- 武器进口莫桑比克:2025 年为 1400万 TIV尼日利亚:2025 年为 2100万 TIV
- 武器出口莫桑比克:1977 年为 100万 TIV尼日利亚:2022 年为 400万 TIV