缅甸与越南对比
缅甸与越南:35 °C 以上天数
2014 年35 °C 以上天数:缅甸为 28.8 天,越南为 4.9 天(CMIP6 气候模型中位数模拟)。 2014 年缅甸的数值较高,高出 23.9 天,是越南的 5.91 倍。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,缅甸的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年缅甸为 57 天,越南为 32.3 天。
逐年数据
每年天数 · CMIP6
| 年份 | 缅甸 | 越南 |
|---|---|---|
| 2014 | 28.8 | 4.9 |
| 2013 | 28 | 5.6 |
| 2012 | 27.5 | 5.3 |
| 2011 | 27.4 | 5.1 |
| 2010 | 27.9 | 5.2 |
| 2009 | 27.3 | 5 |
| 2008 | 27.2 | 4.5 |
| 2007 | 25.4 | 3.9 |
| 2006 | 26.8 | 4.7 |
| 2005 | 25 | 4.2 |
| 2004 | 28.3 | 5.3 |
| 2003 | 26.4 | 4.2 |
| 2002 | 27.4 | 4.2 |
| 2001 | 28.4 | 5.2 |
| 2000 | 26.6 | 3.6 |
| 1999 | 26.1 | 3 |
| 1998 | 26.4 | 3.5 |
| 1997 | 26.2 | 3.4 |
| 1996 | 24.7 | 2.5 |
| 1995 | 25.5 | 3.1 |
| 1994 | 24.3 | 3.3 |
| 1993 | 23.9 | 2.3 |
| 1992 | 20.5 | 1.8 |
| 1991 | 28.4 | 4 |
| 1990 | 26.3 | 5 |
| 1989 | 23.8 | 2.8 |
| 1988 | 23.9 | 3.1 |
| 1987 | 25.4 | 2.5 |
| 1986 | 26.6 | 3.3 |
| 1985 | 23.6 | 2.3 |
| 1984 | 25.8 | 3.1 |
| 1983 | 23.2 | 2.4 |
| 1982 | 24 | 3.5 |
| 1981 | 23.8 | 2.3 |
| 1980 | 23.5 | 2.3 |
| 1979 | 25.3 | 3.2 |
| 1978 | 23.4 | 2.1 |
| 1977 | 24.1 | 3 |
| 1976 | 25.6 | 2.4 |
| 1975 | 22.3 | 2.1 |
| 1974 | 24.1 | 2.9 |
| 1973 | 25.9 | 3.2 |
| 1972 | 23.1 | 2.6 |
| 1971 | 22.8 | 2.1 |
| 1970 | 24.2 | 2.1 |
| 1969 | 23.6 | 2.5 |
| 1968 | 23.4 | 2.1 |
| 1967 | 24.1 | 2.1 |
| 1966 | 23.1 | 2.1 |
| 1965 | 23.3 | 2.2 |
| 1964 | 21.7 | 2 |
| 1963 | 23.2 | 2 |
| 1962 | 24.4 | 2.3 |
| 1961 | 24.9 | 2.8 |
| 1960 | 26.2 | 3.2 |
| 1959 | 22.6 | 1.8 |
| 1958 | 25 | 3.5 |
| 1957 | 24.1 | 2.8 |
| 1956 | 25 | 1.9 |
| 1955 | 24.5 | 3.1 |
| 1954 | 25.3 | 2.9 |
| 1953 | 23.5 | 2.9 |
| 1952 | 26.1 | 3.3 |
| 1951 | 25 | 3.6 |
| 1950 | 23.8 | 2.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 缅甸 | 越南 |
|---|---|---|
| 2015 | 28.518.5–40 | 5.81.5–15.3 |
| 2016 | 27.717.3–38.7 | 4.90.7–13.3 |
| 2017 | 2818.9–38.5 | 5.51.3–14.8 |
| 2018 | 29.818.6–41.2 | 5.61.5–14.2 |
| 2019 | 28.218.2–41.3 | 6.41.1–16.3 |
| 2020 | 28.616.8–41.4 | 6.31.2–16.7 |
| 2021 | 29.719.4–40.8 | 7.42–19.1 |
| 2022 | 31.521.7–42.7 | 7.22.6–22.3 |
| 2023 | 30.319.9–41.6 | 7.62–17.3 |
| 2024 | 31.720.1–43.7 | 8.32.5–19 |
| 2025 | 32.721.3–44.8 | 9.32.2–23.3 |
| 2026 | 30.420.3–44.5 | 7.31.9–22.6 |
| 2027 | 30.620.4–44.2 | 8.12.9–17.2 |
| 2028 | 31.119–43 | 8.73.3–18.2 |
| 2029 | 32.720.9–46.4 | 11.94.1–26.6 |
| 2030 | 32.619.3–45 | 10.42.7–20.3 |
| 2031 | 32.721.3–45.2 | 9.63.4–22.3 |
| 2032 | 32.119.6–45.4 | 9.92.7–25.4 |
| 2033 | 33.322–43.8 | 10.84.1–22 |
| 2034 | 31.322–43.5 | 102.9–23.4 |
| 2035 | 32.620.4–49 | 9.82.3–26.3 |
| 2036 | 33.322.7–46.1 | 10.13.7–19.7 |
| 2037 | 34.322.6–49.1 | 11.53–23.1 |
| 2038 | 35.824.4–49.9 | 14.74.8–29.3 |
| 2039 | 34.920.9–49 | 10.93.3–24.9 |
| 2040 | 3419.2–51.2 | 11.63.7–27.7 |
| 2041 | 3724.8–51.9 | 14.35.5–27.6 |
| 2042 | 36.223–49.9 | 11.73–30.8 |
| 2043 | 34.522.6–47.7 | 10.64–25.2 |
| 2044 | 38.222.1–51.2 | 12.64.1–31.3 |
| 2045 | 35.924.2–50.7 | 11.74.6–25 |
| 2046 | 38.425.2–57.1 | 14.44.6–31.1 |
| 2047 | 38.824.1–56.1 | 15.24.9–31.7 |
| 2048 | 40.323.4–58.7 | 17.14.4–36.5 |
| 2049 | 40.625.2–58.1 | 16.47–33.7 |
| 2050 | 40.226.5–55.3 | 15.95.3–35 |
| 2051 | 41.726.7–56.8 | 15.54.7–33.5 |
| 2052 | 40.326.3–61.2 | 176.3–33.6 |
| 2053 | 41.323.6–61.5 | 155.4–35.9 |
| 2054 | 42.426.8–60.9 | 16.76–38.3 |
| 2055 | 41.428.5–61.9 | 16.97.2–35.9 |
| 2056 | 42.726.5–63 | 17.75.6–41.6 |
| 2057 | 43.226.3–63.2 | 17.75.6–35.2 |
| 2058 | 44.526.8–63.6 | 18.95–40.8 |
| 2059 | 43.729.1–65.3 | 19.87.5–47.2 |
| 2060 | 47.428.3–66 | 22.77.7–43.7 |
| 2061 | 46.729.5–64.5 | 18.54.2–42.8 |
| 2062 | 47.126.7–68.6 | 20.14.4–53.7 |
| 2063 | 46.929–66.4 | 22.75.2–46.5 |
| 2064 | 47.527.9–66.1 | 19.77.7–40 |
| 2065 | 42.427.5–62.4 | 18.97.2–50.1 |
| 2066 | 46.228.9–68.8 | 23.99.2–48.4 |
| 2067 | 4125.7–63.6 | 18.45.9–38.6 |
| 2068 | 46.928–70.4 | 24.37.1–48.3 |
| 2069 | 48.729.3–70.1 | 21.96.6–51.6 |
| 2070 | 43.927.5–64.3 | 17.96.6–49.6 |
| 2071 | 4926.2–71.9 | 22.97.7–48.5 |
| 2072 | 4730.6–71.4 | 22.37.4–49.4 |
| 2073 | 50.732.2–74 | 26.810.5–51 |
| 2074 | 4829.2–74 | 24.26.7–52.2 |
| 2075 | 49.126.1–68.9 | 20.66.8–50.3 |
| 2076 | 47.826.5–72.8 | 25.35–51.3 |
| 2077 | 51.832.9–76.1 | 28.36.4–52.9 |
| 2078 | 50.632.4–75.6 | 26.19.6–54.8 |
| 2079 | 50.730.5–77 | 24.87.4–60.8 |
| 2080 | 53.331.3–79.5 | 26.68.1–59.8 |
| 2081 | 5235.5–79.1 | 24.58–54.1 |
| 2082 | 52.532.5–76.8 | 26.39.6–53.6 |
| 2083 | 51.730.5–79.6 | 25.58.4–66.1 |
| 2084 | 52.329.5–76 | 25.69.3–51.2 |
| 2085 | 51.232.9–79.4 | 27.98.9–59.1 |
| 2086 | 52.632.5–80.1 | 27.46.8–62.7 |
| 2087 | 51.732.6–77.9 | 25.17.1–54.8 |
| 2088 | 50.727.2–88.8 | 29.78.3–67.7 |
| 2089 | 52.731.4–86.3 | 27.98.4–63.9 |
| 2090 | 54.231.1–80.1 | 26.59.8–62.4 |
| 2091 | 53.235.4–80.1 | 26.310.1–65.2 |
| 2092 | 54.135.4–85.5 | 31.28.4–60.7 |
| 2093 | 5235.6–85 | 27.110.6–70.9 |
| 2094 | 54.434.9–80.7 | 27.810–61.9 |
| 2095 | 58.535.1–84.3 | 37.58.2–67.5 |
| 2096 | 52.832.3–84.1 | 29.910.5–67 |
| 2097 | 53.230.4–82.8 | 30.48.5–56.5 |
| 2098 | 55.334.4–83.8 | 28.58.7–68.1 |
| 2099 | 55.233.1–84.7 | 26.96.2–67.2 |
| 2100 | 5734.6–84 | 32.38.1–59.2 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,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
缅甸与越南对比
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军用
- 军费开支缅甸:2024 年为 GDP 的 6.61%越南:2025 年为 GDP 的 2.15%
- 军费开支(美元)缅甸:2024 年为 US$46.5亿越南:2025 年为 US$109亿
- 人均军费开支缅甸:2024 年为 US$92越南:2025 年为 US$104
- 军费占政府支出比例缅甸:2024 年为 32%(占政府支出)越南:2025 年为 9.9%(占政府支出)
- 武装部队人员缅甸:2020 年为 463,000 人越南:2020 年为 522,000 人
- 国家实力缅甸:2022 年为 0.53%(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缅甸:2020 年为 1.94%(占劳动力)越南:2020 年为 0.95%(占劳动力)
- 武器进口缅甸:2025 年为 7000万 TIV越南:2025 年为 1.77亿 TIV