沙特阿拉伯与越南对比
沙特阿拉伯与越南:热带夜
2014 年热带夜:沙特阿拉伯为 181.5 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 61.1 夜,是沙特阿拉伯的 1.34 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 年沙特阿拉伯为 218.7 夜,越南为 282.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 沙特阿拉伯 | 越南 |
|---|---|---|
| 2014 | 181.5 | 242.6 |
| 2013 | 180.4 | 243.6 |
| 2012 | 182.8 | 242.4 |
| 2011 | 182.7 | 241.9 |
| 2010 | 179.2 | 240.9 |
| 2009 | 177.1 | 240 |
| 2008 | 180.3 | 238.7 |
| 2007 | 178.9 | 238 |
| 2006 | 177.5 | 239.1 |
| 2005 | 177.9 | 238.3 |
| 2004 | 177.6 | 241.8 |
| 2003 | 177.4 | 235.9 |
| 2002 | 175.6 | 236.3 |
| 2001 | 178.1 | 241.3 |
| 2000 | 176.4 | 237 |
| 1999 | 173.2 | 236 |
| 1998 | 173.4 | 236.8 |
| 1997 | 173.8 | 237.1 |
| 1996 | 172 | 231.4 |
| 1995 | 169.2 | 229.9 |
| 1994 | 170.4 | 231.2 |
| 1993 | 164.6 | 225.3 |
| 1992 | 165.9 | 221.9 |
| 1991 | 169.2 | 229.8 |
| 1990 | 172.7 | 233.1 |
| 1989 | 168.9 | 229.2 |
| 1988 | 166.8 | 231.7 |
| 1987 | 167.3 | 230.3 |
| 1986 | 169.4 | 230.9 |
| 1985 | 166 | 228 |
| 1984 | 165 | 230.2 |
| 1983 | 163.5 | 224.9 |
| 1982 | 164.7 | 227.5 |
| 1981 | 168.9 | 229.7 |
| 1980 | 166.8 | 228.1 |
| 1979 | 165.3 | 228.9 |
| 1978 | 164.8 | 227.5 |
| 1977 | 165.6 | 229 |
| 1976 | 165.9 | 225.8 |
| 1975 | 161.2 | 225.8 |
| 1974 | 162.9 | 225.7 |
| 1973 | 163.7 | 230.3 |
| 1972 | 163.7 | 225.6 |
| 1971 | 160.4 | 225.5 |
| 1970 | 162.5 | 226.1 |
| 1969 | 161.3 | 227 |
| 1968 | 162.7 | 227.1 |
| 1967 | 159.5 | 222.9 |
| 1966 | 159.5 | 226.8 |
| 1965 | 159.5 | 225.4 |
| 1964 | 159.9 | 222.6 |
| 1963 | 160.2 | 224.3 |
| 1962 | 163.2 | 227.8 |
| 1961 | 163.7 | 229.4 |
| 1960 | 165.7 | 228.5 |
| 1959 | 164.4 | 226.2 |
| 1958 | 164.1 | 230.9 |
| 1957 | 165.5 | 228.4 |
| 1956 | 163.6 | 228.7 |
| 1955 | 162 | 227.5 |
| 1954 | 161.2 | 226.3 |
| 1953 | 162.5 | 228.2 |
| 1952 | 163.4 | 228.5 |
| 1951 | 161.2 | 229.2 |
| 1950 | 161.6 | 228.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 沙特阿拉伯 | 越南 |
|---|---|---|
| 2015 | 184.9169.4–198.7 | 245.8228.2–261.9 |
| 2016 | 183167.7–195.7 | 243.7226.1–259.4 |
| 2017 | 182.6168.1–196.7 | 247229.6–260.7 |
| 2018 | 186.8173.1–199.4 | 248.3228.8–263.3 |
| 2019 | 184.1168.8–199.1 | 248.1229.2–262.8 |
| 2020 | 185.3171.8–198.9 | 248.8229.6–262.9 |
| 2021 | 188.6173.6–202.8 | 251.1233.1–266.7 |
| 2022 | 187.6170.7–202 | 252.4234.3–266.8 |
| 2023 | 188.6173–203.8 | 253.4235.4–266.6 |
| 2024 | 187.1172.9–203.9 | 251.3236.7–264.6 |
| 2025 | 191.5176–206.1 | 252.4234.1–266.2 |
| 2026 | 191.8177.1–205.5 | 252.8232.9–268.5 |
| 2027 | 191.2176.6–206.8 | 253.2237–268.8 |
| 2028 | 191.9175.5–205.1 | 254.3237.7–272 |
| 2029 | 192.2176.6–205.7 | 258.1238.5–273.7 |
| 2030 | 193.3178.4–206.3 | 256.4240.9–270.1 |
| 2031 | 194.7179.1–207.6 | 255.9241.2–270.9 |
| 2032 | 192.2175.2–206 | 257.4239.1–269.9 |
| 2033 | 192.6177.5–206.9 | 258.3241.7–273.2 |
| 2034 | 196.7181.6–213 | 258.8240.7–275.8 |
| 2035 | 196.5179.9–211.6 | 258.6242.5–275.4 |
| 2036 | 194.1180–209.7 | 258.3239.1–273.8 |
| 2037 | 197183.7–209.9 | 258.7242.4–272.4 |
| 2038 | 198.4182.3–213.3 | 263.4247.6–277.3 |
| 2039 | 198184.4–213.6 | 260.2243.7–275.9 |
| 2040 | 199.2182.1–212.7 | 260.1242.8–274.8 |
| 2041 | 197.7181.4–211.7 | 263.1245.9–279 |
| 2042 | 198.3181.2–217 | 263.6246.5–279 |
| 2043 | 198.2182.3–215.3 | 261.4245.5–279.6 |
| 2044 | 199.2185.5–213.5 | 263.2245.2–277.6 |
| 2045 | 202187.1–216.8 | 265.5249.6–281.4 |
| 2046 | 204.1185.3–219.4 | 264.9246.8–278.1 |
| 2047 | 204.1187.4–220 | 266.9250.4–282.9 |
| 2048 | 206.1190.7–220 | 268250.5–283.8 |
| 2049 | 201.6187.7–216.2 | 267.8251.2–284.8 |
| 2050 | 205.7190.2–219.3 | 268251.2–283.5 |
| 2051 | 204.3188.8–222.1 | 270.9254.3–285.4 |
| 2052 | 203.8189.6–218 | 268.3253.3–282.8 |
| 2053 | 203.8186.3–218.8 | 268.5250.1–283.2 |
| 2054 | 207.6188.3–222.3 | 269.1250.8–283.6 |
| 2055 | 207.8190.8–221 | 270249.8–284.2 |
| 2056 | 203.7186.6–220.1 | 271.7254.8–290.1 |
| 2057 | 207.5188.8–224.2 | 270253–285.7 |
| 2058 | 205.9189.2–221.4 | 270.7252.9–286.5 |
| 2059 | 207.3191.6–226.9 | 273257.6–286.6 |
| 2060 | 206.9192.7–222.8 | 275.7255.6–290.6 |
| 2061 | 206.5190.4–220.9 | 273.5254.6–289.5 |
| 2062 | 208.1189.4–228.3 | 271.4253.1–290.2 |
| 2063 | 210.4193–227.1 | 272.9252.7–288.1 |
| 2064 | 207.5191.9–223.3 | 273.8254.4–288.1 |
| 2065 | 208.9193.9–226.1 | 272255.8–286.3 |
| 2066 | 210.3194.9–228 | 271.8254.4–287.3 |
| 2067 | 210.9193.1–228.6 | 270.8252.1–287.6 |
| 2068 | 209.8194.6–228.6 | 275.6256.9–292.4 |
| 2069 | 208.9194.5–226.3 | 276.4258.5–292 |
| 2070 | 211.2191.2–229 | 274.6257.8–292.8 |
| 2071 | 215.1196.3–233.3 | 276.2255.2–294.1 |
| 2072 | 213.6195.3–229.3 | 277256.8–291.4 |
| 2073 | 213.7194.1–231.6 | 278.5262.7–293.4 |
| 2074 | 210.5191.9–229.3 | 277.6259.2–295.8 |
| 2075 | 212.1196.6–231.8 | 276.4258.7–294.4 |
| 2076 | 212.8194.8–230.3 | 279.2258.5–296.6 |
| 2077 | 215.1196.6–233.9 | 280264.9–294.7 |
| 2078 | 215.5197.6–230.7 | 278.4258.6–295.5 |
| 2079 | 213.6197–229 | 279.3263.4–293.6 |
| 2080 | 213.6197.1–233.9 | 280261.4–296.5 |
| 2081 | 214.7194.4–231.6 | 280.4261.2–297.9 |
| 2082 | 214198.9–230.9 | 280.9258.9–296 |
| 2083 | 214.2198.5–238 | 278.4261.6–295 |
| 2084 | 217.4197.4–233.1 | 279257.4–293.8 |
| 2085 | 217.4199.6–237.9 | 281.3265–297.8 |
| 2086 | 217197.4–237.4 | 282.3260.2–297.5 |
| 2087 | 217.3199.7–238.7 | 281.9261.3–300.7 |
| 2088 | 216.1198.2–243.1 | 283.1265.7–301.5 |
| 2089 | 217.6199.5–239 | 280.8261.2–301.6 |
| 2090 | 217.3198.5–239.2 | 280.5264.5–297.6 |
| 2091 | 218.5202.8–238.4 | 283.3264.3–298.9 |
| 2092 | 218.5198.5–241.6 | 281.1261.5–299.4 |
| 2093 | 216.6197.8–236.3 | 280.5263.4–296.1 |
| 2094 | 218.8202–236.9 | 283264.5–300 |
| 2095 | 219.4204.2–237.4 | 285.5264.5–302.9 |
| 2096 | 219.9197.7–239.6 | 281.8264.8–299.8 |
| 2097 | 216.7196.8–239.7 | 281.5263.3–299 |
| 2098 | 219.7199.6–241.3 | 282.5263.9–301.5 |
| 2099 | 216.8200.8–236.8 | 282.7265.1–298 |
| 2100 | 218.7202.3–241 | 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
沙特阿拉伯与越南对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支沙特阿拉伯:2025 年为 GDP 的 6.48%越南:2025 年为 GDP 的 2.15%
- 军费开支(美元)沙特阿拉伯:2025 年为 US$815亿越南:2025 年为 US$109亿
- 人均军费开支沙特阿拉伯:2025 年为 US$2,428越南:2025 年为 US$104
- 军费占政府支出比例沙特阿拉伯:2025 年为 23.5%(占政府支出)越南:2025 年为 9.9%(占政府支出)
- 武装部队人员沙特阿拉伯:2020 年为 282,000 人越南:2020 年为 522,000 人
- 国家实力沙特阿拉伯:2022 年为 1.34%(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沙特阿拉伯:2020 年为 1.92%(占劳动力)越南:2020 年为 0.95%(占劳动力)
- 武器进口沙特阿拉伯:2025 年为 30.4亿 TIV越南:2025 年为 1.77亿 TIV
- 武器出口沙特阿拉伯:2023 年为 300万 TIV越南:2018 年为 1000万 TIV