缅甸与巴基斯坦对比
缅甸与巴基斯坦:35 °C 以上天数
2014 年35 °C 以上天数:缅甸为 28.8 天,巴基斯坦为 118.6 天(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 89.8 天,是缅甸的 4.12 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,巴基斯坦的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年缅甸为 57 天,巴基斯坦为 147.6 天。
逐年数据
每年天数 · CMIP6
| 年份 | 缅甸 | 巴基斯坦 |
|---|---|---|
| 2014 | 28.8 | 118.6 |
| 2013 | 28 | 117.5 |
| 2012 | 27.5 | 117.5 |
| 2011 | 27.4 | 118 |
| 2010 | 27.9 | 114.3 |
| 2009 | 27.3 | 115.3 |
| 2008 | 27.2 | 115.4 |
| 2007 | 25.4 | 112.5 |
| 2006 | 26.8 | 112.9 |
| 2005 | 25 | 114.9 |
| 2004 | 28.3 | 116.1 |
| 2003 | 26.4 | 114.6 |
| 2002 | 27.4 | 115.9 |
| 2001 | 28.4 | 114.4 |
| 2000 | 26.6 | 114.6 |
| 1999 | 26.1 | 114.2 |
| 1998 | 26.4 | 111.7 |
| 1997 | 26.2 | 112 |
| 1996 | 24.7 | 108.3 |
| 1995 | 25.5 | 110 |
| 1994 | 24.3 | 108.6 |
| 1993 | 23.9 | 107.2 |
| 1992 | 20.5 | 105.2 |
| 1991 | 28.4 | 110.6 |
| 1990 | 26.3 | 110.7 |
| 1989 | 23.8 | 110.9 |
| 1988 | 23.9 | 109.8 |
| 1987 | 25.4 | 108.3 |
| 1986 | 26.6 | 108.7 |
| 1985 | 23.6 | 105.6 |
| 1984 | 25.8 | 108 |
| 1983 | 23.2 | 104.7 |
| 1982 | 24 | 108 |
| 1981 | 23.8 | 109.5 |
| 1980 | 23.5 | 109.7 |
| 1979 | 25.3 | 108.7 |
| 1978 | 23.4 | 108.6 |
| 1977 | 24.1 | 106.5 |
| 1976 | 25.6 | 108.2 |
| 1975 | 22.3 | 105 |
| 1974 | 24.1 | 108.8 |
| 1973 | 25.9 | 108 |
| 1972 | 23.1 | 104.5 |
| 1971 | 22.8 | 106.2 |
| 1970 | 24.2 | 106.5 |
| 1969 | 23.6 | 105.8 |
| 1968 | 23.4 | 104.4 |
| 1967 | 24.1 | 106.4 |
| 1966 | 23.1 | 106.4 |
| 1965 | 23.3 | 106 |
| 1964 | 21.7 | 103 |
| 1963 | 23.2 | 104.3 |
| 1962 | 24.4 | 106.7 |
| 1961 | 24.9 | 108.7 |
| 1960 | 26.2 | 108.7 |
| 1959 | 22.6 | 110.4 |
| 1958 | 25 | 108.5 |
| 1957 | 24.1 | 110.7 |
| 1956 | 25 | 108.8 |
| 1955 | 24.5 | 108.3 |
| 1954 | 25.3 | 107 |
| 1953 | 23.5 | 107.6 |
| 1952 | 26.1 | 108.9 |
| 1951 | 25 | 108.1 |
| 1950 | 23.8 | 110.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 缅甸 | 巴基斯坦 |
|---|---|---|
| 2015 | 28.518.5–40 | 122100.8–136.6 |
| 2016 | 27.717.3–38.7 | 119.5104.9–132 |
| 2017 | 2818.9–38.5 | 119.999.5–134.3 |
| 2018 | 29.818.6–41.2 | 119.7103–133.8 |
| 2019 | 28.218.2–41.3 | 118.997.2–133.8 |
| 2020 | 28.616.8–41.4 | 122.8105–136.3 |
| 2021 | 29.719.4–40.8 | 122.9103.2–138.2 |
| 2022 | 31.521.7–42.7 | 120.7101.9–136.4 |
| 2023 | 30.319.9–41.6 | 123.3104.8–138.8 |
| 2024 | 31.720.1–43.7 | 124.4105.4–139.1 |
| 2025 | 32.721.3–44.8 | 123.8102.8–139.1 |
| 2026 | 30.420.3–44.5 | 122.5101.9–141.8 |
| 2027 | 30.620.4–44.2 | 124.4101.5–141 |
| 2028 | 31.119–43 | 124.8103.6–140.2 |
| 2029 | 32.720.9–46.4 | 126.499.2–141.6 |
| 2030 | 32.619.3–45 | 122.5103.5–140.1 |
| 2031 | 32.721.3–45.2 | 122.7105.6–139.9 |
| 2032 | 32.119.6–45.4 | 126104–143.9 |
| 2033 | 33.322–43.8 | 125.9106.6–144.1 |
| 2034 | 31.322–43.5 | 130.9113.2–147.8 |
| 2035 | 32.620.4–49 | 127.1107.6–143.6 |
| 2036 | 33.322.7–46.1 | 125.5108.3–143.4 |
| 2037 | 34.322.6–49.1 | 130.7112.4–147.9 |
| 2038 | 35.824.4–49.9 | 130.9108.6–144.9 |
| 2039 | 34.920.9–49 | 128.6110.2–144.9 |
| 2040 | 3419.2–51.2 | 133.2115.1–146.1 |
| 2041 | 3724.8–51.9 | 127.2108.3–143.5 |
| 2042 | 36.223–49.9 | 134.6112.8–150.7 |
| 2043 | 34.522.6–47.7 | 131.6112.5–149.3 |
| 2044 | 38.222.1–51.2 | 128.2108.1–145.9 |
| 2045 | 35.924.2–50.7 | 133.4116.7–148.7 |
| 2046 | 38.425.2–57.1 | 133.8109–151.1 |
| 2047 | 38.824.1–56.1 | 134.6110–150.9 |
| 2048 | 40.323.4–58.7 | 136117.1–152.3 |
| 2049 | 40.625.2–58.1 | 133.3115.2–152.5 |
| 2050 | 40.226.5–55.3 | 138.4119.4–157.4 |
| 2051 | 41.726.7–56.8 | 138115.5–158.2 |
| 2052 | 40.326.3–61.2 | 138.3120.3–155.3 |
| 2053 | 41.323.6–61.5 | 137.4117.7–155.8 |
| 2054 | 42.426.8–60.9 | 137116–152.4 |
| 2055 | 41.428.5–61.9 | 139.6120–157.2 |
| 2056 | 42.726.5–63 | 135.8117.3–154.1 |
| 2057 | 43.226.3–63.2 | 141.5119.5–158.8 |
| 2058 | 44.526.8–63.6 | 137.1114.3–154.7 |
| 2059 | 43.729.1–65.3 | 141.4122.6–156.6 |
| 2060 | 47.428.3–66 | 142.5124.1–158.6 |
| 2061 | 46.729.5–64.5 | 142.3123.2–157.4 |
| 2062 | 47.126.7–68.6 | 141.3118.8–161.2 |
| 2063 | 46.929–66.4 | 143.1125.6–160.6 |
| 2064 | 47.527.9–66.1 | 140.7119.8–163.5 |
| 2065 | 42.427.5–62.4 | 141.1121.5–159.3 |
| 2066 | 46.228.9–68.8 | 143.8122.5–163.4 |
| 2067 | 4125.7–63.6 | 144.2125.9–162.3 |
| 2068 | 46.928–70.4 | 143.2126–162.2 |
| 2069 | 48.729.3–70.1 | 144.7119.8–163.2 |
| 2070 | 43.927.5–64.3 | 143.7126.5–163 |
| 2071 | 4926.2–71.9 | 145.5121.8–164.4 |
| 2072 | 4730.6–71.4 | 147.1125.5–165.1 |
| 2073 | 50.732.2–74 | 149.2122.1–164.7 |
| 2074 | 4829.2–74 | 145.8126.7–162.2 |
| 2075 | 49.126.1–68.9 | 145.1126.2–160.5 |
| 2076 | 47.826.5–72.8 | 145.7126.4–165.9 |
| 2077 | 51.832.9–76.1 | 146.1126.2–164.4 |
| 2078 | 50.632.4–75.6 | 146.5121.4–164.4 |
| 2079 | 50.730.5–77 | 144.6122.7–161 |
| 2080 | 53.331.3–79.5 | 148.2123.7–166.4 |
| 2081 | 5235.5–79.1 | 145.8122.2–167 |
| 2082 | 52.532.5–76.8 | 146123.3–168.8 |
| 2083 | 51.730.5–79.6 | 148.3127–167.4 |
| 2084 | 52.329.5–76 | 150.5128.5–167.6 |
| 2085 | 51.232.9–79.4 | 149.9126.1–170.8 |
| 2086 | 52.632.5–80.1 | 146.3124.2–165 |
| 2087 | 51.732.6–77.9 | 149.9124.3–167.3 |
| 2088 | 50.727.2–88.8 | 149.3127.9–169.7 |
| 2089 | 52.731.4–86.3 | 148.9129.6–166.7 |
| 2090 | 54.231.1–80.1 | 150.3131.5–166.7 |
| 2091 | 53.235.4–80.1 | 151.1128.4–168.7 |
| 2092 | 54.135.4–85.5 | 150.5129.8–170.2 |
| 2093 | 5235.6–85 | 151.6131.8–167.9 |
| 2094 | 54.434.9–80.7 | 151.5130.4–168.6 |
| 2095 | 58.535.1–84.3 | 152.5130.6–169.2 |
| 2096 | 52.832.3–84.1 | 150.8124.2–169 |
| 2097 | 53.230.4–82.8 | 149.4130.3–167.5 |
| 2098 | 55.334.4–83.8 | 151.7125.4–168.2 |
| 2099 | 55.233.1–84.7 | 151.6124.4–170.6 |
| 2100 | 5734.6–84 | 147.6125.2–167.5 |
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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
缅甸与巴基斯坦对比
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军用
- 军费开支缅甸:2024 年为 GDP 的 6.61%巴基斯坦:2025 年为 GDP 的 2.91%
- 军费开支(美元)缅甸:2024 年为 US$46.5亿巴基斯坦:2025 年为 US$115亿
- 人均军费开支缅甸:2024 年为 US$92巴基斯坦:2025 年为 US$47
- 军费占政府支出比例缅甸:2024 年为 32%(占政府支出)巴基斯坦:2025 年为 13.8%(占政府支出)
- 武装部队人员缅甸:2020 年为 463,000 人巴基斯坦:2020 年为 943,000 人
- 国家实力缅甸:2022 年为 0.53%(占全球实力)巴基斯坦:2022 年为 1.77%(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)巴基斯坦:2020 年为 1.25%(占劳动力)
- 武器进口缅甸:2025 年为 7000万 TIV巴基斯坦:2025 年为 7.06亿 TIV