埃及与越南对比
埃及与越南:热带夜
2014 年热带夜:埃及为 145 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年越南的数值较高,高出 97.6 夜,是埃及的 1.67 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,越南的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年埃及为 183.4 夜,越南为 282.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 埃及 | 越南 |
|---|---|---|
| 2014 | 145 | 242.6 |
| 2013 | 145 | 243.6 |
| 2012 | 145.1 | 242.4 |
| 2011 | 144.7 | 241.9 |
| 2010 | 143.5 | 240.9 |
| 2009 | 140.2 | 240 |
| 2008 | 142.6 | 238.7 |
| 2007 | 140.5 | 238 |
| 2006 | 139.6 | 239.1 |
| 2005 | 140 | 238.3 |
| 2004 | 141.3 | 241.8 |
| 2003 | 141 | 235.9 |
| 2002 | 137.7 | 236.3 |
| 2001 | 139 | 241.3 |
| 2000 | 134.8 | 237 |
| 1999 | 135.5 | 236 |
| 1998 | 133 | 236.8 |
| 1997 | 134 | 237.1 |
| 1996 | 132.1 | 231.4 |
| 1995 | 130.2 | 229.9 |
| 1994 | 129.8 | 231.2 |
| 1993 | 123.6 | 225.3 |
| 1992 | 126.1 | 221.9 |
| 1991 | 129.7 | 229.8 |
| 1990 | 129.7 | 233.1 |
| 1989 | 126 | 229.2 |
| 1988 | 124.3 | 231.7 |
| 1987 | 125.8 | 230.3 |
| 1986 | 128.9 | 230.9 |
| 1985 | 125.7 | 228 |
| 1984 | 119.4 | 230.2 |
| 1983 | 119.4 | 224.9 |
| 1982 | 120.7 | 227.5 |
| 1981 | 122.6 | 229.7 |
| 1980 | 124.9 | 228.1 |
| 1979 | 119.2 | 228.9 |
| 1978 | 122.6 | 227.5 |
| 1977 | 121.3 | 229 |
| 1976 | 123.2 | 225.8 |
| 1975 | 121.9 | 225.8 |
| 1974 | 123.1 | 225.7 |
| 1973 | 123.5 | 230.3 |
| 1972 | 120.1 | 225.6 |
| 1971 | 120.7 | 225.5 |
| 1970 | 119.7 | 226.1 |
| 1969 | 118.3 | 227 |
| 1968 | 119.4 | 227.1 |
| 1967 | 116.2 | 222.9 |
| 1966 | 116.1 | 226.8 |
| 1965 | 112.9 | 225.4 |
| 1964 | 116.4 | 222.6 |
| 1963 | 120.2 | 224.3 |
| 1962 | 118.9 | 227.8 |
| 1961 | 118.7 | 229.4 |
| 1960 | 123.6 | 228.5 |
| 1959 | 123.2 | 226.2 |
| 1958 | 120.7 | 230.9 |
| 1957 | 122.4 | 228.4 |
| 1956 | 122.7 | 228.7 |
| 1955 | 119.4 | 227.5 |
| 1954 | 120.8 | 226.3 |
| 1953 | 121.3 | 228.2 |
| 1952 | 120.7 | 228.5 |
| 1951 | 121.2 | 229.2 |
| 1950 | 118.8 | 228.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 埃及 | 越南 |
|---|---|---|
| 2015 | 149.6131.4–164.2 | 245.8228.2–261.9 |
| 2016 | 147.7133.5–160.2 | 243.7226.1–259.4 |
| 2017 | 150.8134.8–163.2 | 247229.6–260.7 |
| 2018 | 147.4133.4–165.6 | 248.3228.8–263.3 |
| 2019 | 149.6132.7–164 | 248.1229.2–262.8 |
| 2020 | 150.8136.4–164.7 | 248.8229.6–262.9 |
| 2021 | 152.1137.8–168.1 | 251.1233.1–266.7 |
| 2022 | 154138.1–170.6 | 252.4234.3–266.8 |
| 2023 | 154.4139–168.4 | 253.4235.4–266.6 |
| 2024 | 155.8141.7–168.5 | 251.3236.7–264.6 |
| 2025 | 154.5139.6–168.1 | 252.4234.1–266.2 |
| 2026 | 155.1144.5–165.9 | 252.8232.9–268.5 |
| 2027 | 154.2139.5–166.3 | 253.2237–268.8 |
| 2028 | 154.5141.8–168.6 | 254.3237.7–272 |
| 2029 | 156.3139.9–169.5 | 258.1238.5–273.7 |
| 2030 | 156.3143.1–169.1 | 256.4240.9–270.1 |
| 2031 | 155.5141.5–171.2 | 255.9241.2–270.9 |
| 2032 | 158.3144.6–170.4 | 257.4239.1–269.9 |
| 2033 | 159.9143.8–172.9 | 258.3241.7–273.2 |
| 2034 | 159.8144.9–173.2 | 258.8240.7–275.8 |
| 2035 | 163.5146.6–175.8 | 258.6242.5–275.4 |
| 2036 | 156.2143.7–170.6 | 258.3239.1–273.8 |
| 2037 | 158.8142.9–173.8 | 258.7242.4–272.4 |
| 2038 | 164.9146.1–177.8 | 263.4247.6–277.3 |
| 2039 | 161.8146.1–180.1 | 260.2243.7–275.9 |
| 2040 | 161.6147.9–176.5 | 260.1242.8–274.8 |
| 2041 | 163.7149.4–177.3 | 263.1245.9–279 |
| 2042 | 166.5149.7–180.6 | 263.6246.5–279 |
| 2043 | 163.6150.3–176.8 | 261.4245.5–279.6 |
| 2044 | 162.2147–178 | 263.2245.2–277.6 |
| 2045 | 167.2152.5–181 | 265.5249.6–281.4 |
| 2046 | 166149–181.1 | 264.9246.8–278.1 |
| 2047 | 165.9151.8–181.5 | 266.9250.4–282.9 |
| 2048 | 167.2154.5–180.1 | 268250.5–283.8 |
| 2049 | 165.3148.7–177.9 | 267.8251.2–284.8 |
| 2050 | 170152.8–183 | 268251.2–283.5 |
| 2051 | 165.6152.7–179.5 | 270.9254.3–285.4 |
| 2052 | 167.3156–180.2 | 268.3253.3–282.8 |
| 2053 | 170.1153.6–183.8 | 268.5250.1–283.2 |
| 2054 | 169153.3–183 | 269.1250.8–283.6 |
| 2055 | 170.5153.5–183.3 | 270249.8–284.2 |
| 2056 | 168.3151.2–181.4 | 271.7254.8–290.1 |
| 2057 | 166.8150.7–185.3 | 270253–285.7 |
| 2058 | 171.8154.2–188.2 | 270.7252.9–286.5 |
| 2059 | 173.3157.8–188.6 | 273257.6–286.6 |
| 2060 | 170.5154.8–189.3 | 275.7255.6–290.6 |
| 2061 | 170.3155.1–184.6 | 273.5254.6–289.5 |
| 2062 | 172.1155.2–185.7 | 271.4253.1–290.2 |
| 2063 | 169.7152.8–182.6 | 272.9252.7–288.1 |
| 2064 | 172.3155.9–187.2 | 273.8254.4–288.1 |
| 2065 | 173.3159.7–189.9 | 272255.8–286.3 |
| 2066 | 170155–187.7 | 271.8254.4–287.3 |
| 2067 | 176.2161.5–190 | 270.8252.1–287.6 |
| 2068 | 174.6157.3–193.1 | 275.6256.9–292.4 |
| 2069 | 175.8158.8–191.7 | 276.4258.5–292 |
| 2070 | 173.3158.3–191.7 | 274.6257.8–292.8 |
| 2071 | 176.8158.1–194.7 | 276.2255.2–294.1 |
| 2072 | 177.6160.8–192.1 | 277256.8–291.4 |
| 2073 | 176159.2–189.3 | 278.5262.7–293.4 |
| 2074 | 171.9156.5–194.1 | 277.6259.2–295.8 |
| 2075 | 171.8157–191.9 | 276.4258.7–294.4 |
| 2076 | 177161–194.6 | 279.2258.5–296.6 |
| 2077 | 179.7157–194.1 | 280264.9–294.7 |
| 2078 | 178.4161–195 | 278.4258.6–295.5 |
| 2079 | 178.2160.2–193.7 | 279.3263.4–293.6 |
| 2080 | 178.5163–193.3 | 280261.4–296.5 |
| 2081 | 177.2160–192.8 | 280.4261.2–297.9 |
| 2082 | 178.8164.5–193.3 | 280.9258.9–296 |
| 2083 | 180.6164.4–195.7 | 278.4261.6–295 |
| 2084 | 181.4162.4–197.8 | 279257.4–293.8 |
| 2085 | 178.8163–196.7 | 281.3265–297.8 |
| 2086 | 181.9166.6–198.8 | 282.3260.2–297.5 |
| 2087 | 178156.4–194.3 | 281.9261.3–300.7 |
| 2088 | 177.8163.5–196 | 283.1265.7–301.5 |
| 2089 | 180.9163.5–198.9 | 280.8261.2–301.6 |
| 2090 | 179.9162.4–197.8 | 280.5264.5–297.6 |
| 2091 | 184.2165.1–198.9 | 283.3264.3–298.9 |
| 2092 | 180.3162.9–196.3 | 281.1261.5–299.4 |
| 2093 | 181.1166.1–198.2 | 280.5263.4–296.1 |
| 2094 | 185.4168–198.9 | 283264.5–300 |
| 2095 | 181.9165.5–197.3 | 285.5264.5–302.9 |
| 2096 | 183.1163.5–200.3 | 281.8264.8–299.8 |
| 2097 | 181.5165.4–198.9 | 281.5263.3–299 |
| 2098 | 181.7162.1–198.8 | 282.5263.9–301.5 |
| 2099 | 179.9164.2–197.8 | 282.7265.1–298 |
| 2100 | 183.4162.9–198.1 | 282.7261–298.2 |
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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
埃及与越南对比
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军用
- 军费开支埃及:2025 年为 GDP 的 0.61%越南:2025 年为 GDP 的 2.15%
- 军费开支(美元)埃及:2025 年为 US$22.6亿越南:2025 年为 US$109亿
- 人均军费开支埃及:2025 年为 US$21越南:2025 年为 US$104
- 军费占政府支出比例埃及:2025 年为 2.5%(占政府支出)越南:2025 年为 9.9%(占政府支出)
- 武装部队人员埃及:2020 年为 836,000 人越南:2020 年为 522,000 人
- 国家实力埃及:2022 年为 1.18%(占全球实力)越南:2022 年为 1.11%(占全球实力)
- 武装部队占劳动力比例埃及:2020 年为 2.76%(占劳动力)越南:2020 年为 0.95%(占劳动力)
- 武器进口埃及:2025 年为 6.97亿 TIV越南:2025 年为 1.77亿 TIV
- 武器出口埃及:2024 年为 200万 TIV越南:2018 年为 1000万 TIV