老挝与越南对比
老挝与越南:热带夜
2014 年热带夜:老挝为 192.8 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 49.8 夜,是老挝的 1.26 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 年老挝为 246.3 夜,越南为 282.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 老挝 | 越南 |
|---|---|---|
| 2014 | 192.8 | 242.6 |
| 2013 | 195.1 | 243.6 |
| 2012 | 191.6 | 242.4 |
| 2011 | 193 | 241.9 |
| 2010 | 190.7 | 240.9 |
| 2009 | 189.1 | 240 |
| 2008 | 188.6 | 238.7 |
| 2007 | 185.3 | 238 |
| 2006 | 188.6 | 239.1 |
| 2005 | 186.1 | 238.3 |
| 2004 | 191.4 | 241.8 |
| 2003 | 183.8 | 235.9 |
| 2002 | 184.7 | 236.3 |
| 2001 | 190.3 | 241.3 |
| 2000 | 185.1 | 237 |
| 1999 | 183.9 | 236 |
| 1998 | 184.9 | 236.8 |
| 1997 | 184.9 | 237.1 |
| 1996 | 177.4 | 231.4 |
| 1995 | 176.6 | 229.9 |
| 1994 | 179.4 | 231.2 |
| 1993 | 170.4 | 225.3 |
| 1992 | 165.3 | 221.9 |
| 1991 | 178.5 | 229.8 |
| 1990 | 181.2 | 233.1 |
| 1989 | 176.1 | 229.2 |
| 1988 | 178.1 | 231.7 |
| 1987 | 177.3 | 230.3 |
| 1986 | 176.9 | 230.9 |
| 1985 | 172.3 | 228 |
| 1984 | 175.7 | 230.2 |
| 1983 | 166.9 | 224.9 |
| 1982 | 173.8 | 227.5 |
| 1981 | 174.1 | 229.7 |
| 1980 | 175.3 | 228.1 |
| 1979 | 174.1 | 228.9 |
| 1978 | 170.7 | 227.5 |
| 1977 | 172.6 | 229 |
| 1976 | 169.8 | 225.8 |
| 1975 | 169.3 | 225.8 |
| 1974 | 171.2 | 225.7 |
| 1973 | 177.3 | 230.3 |
| 1972 | 169.3 | 225.6 |
| 1971 | 168.6 | 225.5 |
| 1970 | 169.4 | 226.1 |
| 1969 | 171.8 | 227 |
| 1968 | 170.3 | 227.1 |
| 1967 | 164.6 | 222.9 |
| 1966 | 171.4 | 226.8 |
| 1965 | 168.3 | 225.4 |
| 1964 | 164.5 | 222.6 |
| 1963 | 166.3 | 224.3 |
| 1962 | 173 | 227.8 |
| 1961 | 175 | 229.4 |
| 1960 | 173.2 | 228.5 |
| 1959 | 170.1 | 226.2 |
| 1958 | 176.9 | 230.9 |
| 1957 | 171.8 | 228.4 |
| 1956 | 173.3 | 228.7 |
| 1955 | 172.8 | 227.5 |
| 1954 | 171.8 | 226.3 |
| 1953 | 171.8 | 228.2 |
| 1952 | 173.6 | 228.5 |
| 1951 | 175.3 | 229.2 |
| 1950 | 172.1 | 228.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 老挝 | 越南 |
|---|---|---|
| 2015 | 198.2176.6–216.8 | 245.8228.2–261.9 |
| 2016 | 193174.6–213.8 | 243.7226.1–259.4 |
| 2017 | 198.1178.2–215.1 | 247229.6–260.7 |
| 2018 | 198.8178.8–218.7 | 248.3228.8–263.3 |
| 2019 | 200.6172.9–217.8 | 248.1229.2–262.8 |
| 2020 | 201.8177.8–220 | 248.8229.6–262.9 |
| 2021 | 204.2184–224.5 | 251.1233.1–266.7 |
| 2022 | 205.2182.2–225.7 | 252.4234.3–266.8 |
| 2023 | 206.2187.2–224.3 | 253.4235.4–266.6 |
| 2024 | 205.2186.3–221.9 | 251.3236.7–264.6 |
| 2025 | 206.1181.2–224 | 252.4234.1–266.2 |
| 2026 | 207.5183.6–226.9 | 252.8232.9–268.5 |
| 2027 | 206.4185.8–226.4 | 253.2237–268.8 |
| 2028 | 208.4186.8–230.5 | 254.3237.7–272 |
| 2029 | 215.3189.5–232.4 | 258.1238.5–273.7 |
| 2030 | 209.8189.3–227.8 | 256.4240.9–270.1 |
| 2031 | 211.6194.2–230.7 | 255.9241.2–270.9 |
| 2032 | 211.4191–229.3 | 257.4239.1–269.9 |
| 2033 | 212.8193.9–231.8 | 258.3241.7–273.2 |
| 2034 | 214.5190.9–236 | 258.8240.7–275.8 |
| 2035 | 213.3192.8–234.5 | 258.6242.5–275.4 |
| 2036 | 213.6191.7–231.6 | 258.3239.1–273.8 |
| 2037 | 215.7195.2–234.2 | 258.7242.4–272.4 |
| 2038 | 221.3202.2–238.1 | 263.4247.6–277.3 |
| 2039 | 216195.9–235.9 | 260.2243.7–275.9 |
| 2040 | 217.2196.2–235.1 | 260.1242.8–274.8 |
| 2041 | 221.3199.8–240.8 | 263.1245.9–279 |
| 2042 | 221.3200.3–239.4 | 263.6246.5–279 |
| 2043 | 218.2199.3–237.8 | 261.4245.5–279.6 |
| 2044 | 219.8194.2–237.9 | 263.2245.2–277.6 |
| 2045 | 223.9202.3–242.4 | 265.5249.6–281.4 |
| 2046 | 222.1198–239 | 264.9246.8–278.1 |
| 2047 | 225202.1–243.8 | 266.9250.4–282.9 |
| 2048 | 226.8204.9–247.7 | 268250.5–283.8 |
| 2049 | 226.6206–249 | 267.8251.2–284.8 |
| 2050 | 226.9207.5–245.6 | 268251.2–283.5 |
| 2051 | 229.3208.8–247.3 | 270.9254.3–285.4 |
| 2052 | 228.7209.4–244.4 | 268.3253.3–282.8 |
| 2053 | 227.2206.2–247.2 | 268.5250.1–283.2 |
| 2054 | 228206.7–247.3 | 269.1250.8–283.6 |
| 2055 | 227.3206.6–248.1 | 270249.8–284.2 |
| 2056 | 232.1212.8–253.7 | 271.7254.8–290.1 |
| 2057 | 227.9207.9–248.4 | 270253–285.7 |
| 2058 | 229.6207.8–249.3 | 270.7252.9–286.5 |
| 2059 | 233.1214.1–249.5 | 273257.6–286.6 |
| 2060 | 237.7213.2–253.7 | 275.7255.6–290.6 |
| 2061 | 233.5210–254.8 | 273.5254.6–289.5 |
| 2062 | 230.6209–257.1 | 271.4253.1–290.2 |
| 2063 | 232.2211–250.9 | 272.9252.7–288.1 |
| 2064 | 235213.9–252 | 273.8254.4–288.1 |
| 2065 | 232.1213.7–253.3 | 272255.8–286.3 |
| 2066 | 232.1212.3–251.7 | 271.8254.4–287.3 |
| 2067 | 231.7205.9–254.2 | 270.8252.1–287.6 |
| 2068 | 235.6212.3–256.8 | 275.6256.9–292.4 |
| 2069 | 237.4213.9–257.5 | 276.4258.5–292 |
| 2070 | 234.4213.7–255.9 | 274.6257.8–292.8 |
| 2071 | 236212.9–260.4 | 276.2255.2–294.1 |
| 2072 | 239214.7–254.8 | 277256.8–291.4 |
| 2073 | 239.6220.8–259 | 278.5262.7–293.4 |
| 2074 | 239214.1–260.4 | 277.6259.2–295.8 |
| 2075 | 238.6215.1–260.7 | 276.4258.7–294.4 |
| 2076 | 240.5216.9–263.9 | 279.2258.5–296.6 |
| 2077 | 242.2222.7–262.5 | 280264.9–294.7 |
| 2078 | 242.1215.9–260.8 | 278.4258.6–295.5 |
| 2079 | 241.1222.6–260.6 | 279.3263.4–293.6 |
| 2080 | 240.8220.6–264.8 | 280261.4–296.5 |
| 2081 | 242.8217.4–264.5 | 280.4261.2–297.9 |
| 2082 | 243.2216.6–262.4 | 280.9258.9–296 |
| 2083 | 239.6219.9–261.2 | 278.4261.6–295 |
| 2084 | 241.7215.2–260 | 279257.4–293.8 |
| 2085 | 243.6221.2–266.3 | 281.3265–297.8 |
| 2086 | 244.4218.2–267.7 | 282.3260.2–297.5 |
| 2087 | 243.8219.7–267 | 281.9261.3–300.7 |
| 2088 | 246.1224.3–269.6 | 283.1265.7–301.5 |
| 2089 | 242.8220.1–268.3 | 280.8261.2–301.6 |
| 2090 | 242.8226.2–266.1 | 280.5264.5–297.6 |
| 2091 | 245.5221.4–267 | 283.3264.3–298.9 |
| 2092 | 243.1220.1–266.5 | 281.1261.5–299.4 |
| 2093 | 242.1221.2–263.6 | 280.5263.4–296.1 |
| 2094 | 245.7224.8–267.6 | 283264.5–300 |
| 2095 | 249.4222.7–273.4 | 285.5264.5–302.9 |
| 2096 | 244.6221.7–268.3 | 281.8264.8–299.8 |
| 2097 | 244.8221–265.4 | 281.5263.3–299 |
| 2098 | 245.4224.3–268 | 282.5263.9–301.5 |
| 2099 | 247.3220.9–265.1 | 282.7265.1–298 |
| 2100 | 246.3220–266.4 | 282.7261–298.2 |
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
老挝与越南对比
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军用
- 军费开支老挝:2013 年为 GDP 的 0.19%越南:2025 年为 GDP 的 2.15%
- 军费开支(美元)老挝:2013 年为 US$2180万越南:2025 年为 US$109亿
- 人均军费开支老挝:2013 年为 US$3越南:2025 年为 US$104
- 军费占政府支出比例老挝:2013 年为 0.8%(占政府支出)越南:2025 年为 9.9%(占政府支出)
- 武装部队人员老挝:2020 年为 129,000 人越南:2020 年为 522,000 人
- 国家实力老挝:2022 年为 0.06%(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老挝:2020 年为 4.08%(占劳动力)越南:2020 年为 0.95%(占劳动力)
- 武器进口老挝:2024 年为 700万 TIV越南:2025 年为 1.77亿 TIV