墨西哥与巴基斯坦对比
墨西哥与巴基斯坦:35 °C 以上天数
2014 年35 °C 以上天数:墨西哥为 32.8 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 85.8 天,是墨西哥的 3.62 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 年墨西哥为 67.8 天,巴基斯坦为 147.6 天。
逐年数据
每年天数 · CMIP6
| 年份 | 墨西哥 | 巴基斯坦 |
|---|---|---|
| 2014 | 32.8 | 118.6 |
| 2013 | 31.6 | 117.5 |
| 2012 | 30.4 | 117.5 |
| 2011 | 30.5 | 118 |
| 2010 | 31.8 | 114.3 |
| 2009 | 30.6 | 115.3 |
| 2008 | 30.7 | 115.4 |
| 2007 | 29 | 112.5 |
| 2006 | 28.6 | 112.9 |
| 2005 | 29.2 | 114.9 |
| 2004 | 29.4 | 116.1 |
| 2003 | 27.2 | 114.6 |
| 2002 | 27.8 | 115.9 |
| 2001 | 29.6 | 114.4 |
| 2000 | 27.9 | 114.6 |
| 1999 | 26.4 | 114.2 |
| 1998 | 27 | 111.7 |
| 1997 | 26.7 | 112 |
| 1996 | 25.7 | 108.3 |
| 1995 | 25.1 | 110 |
| 1994 | 24.1 | 108.6 |
| 1993 | 21.9 | 107.2 |
| 1992 | 20.9 | 105.2 |
| 1991 | 26.5 | 110.6 |
| 1990 | 26.5 | 110.7 |
| 1989 | 24 | 110.9 |
| 1988 | 23.9 | 109.8 |
| 1987 | 25.7 | 108.3 |
| 1986 | 24.1 | 108.7 |
| 1985 | 21.9 | 105.6 |
| 1984 | 22 | 108 |
| 1983 | 20.7 | 104.7 |
| 1982 | 22.1 | 108 |
| 1981 | 23.4 | 109.5 |
| 1980 | 22.5 | 109.7 |
| 1979 | 24 | 108.7 |
| 1978 | 22.5 | 108.6 |
| 1977 | 22.8 | 106.5 |
| 1976 | 22.2 | 108.2 |
| 1975 | 21.3 | 105 |
| 1974 | 22.6 | 108.8 |
| 1973 | 21.7 | 108 |
| 1972 | 22.5 | 104.5 |
| 1971 | 21.2 | 106.2 |
| 1970 | 22.3 | 106.5 |
| 1969 | 23.1 | 105.8 |
| 1968 | 21.7 | 104.4 |
| 1967 | 22.8 | 106.4 |
| 1966 | 21.9 | 106.4 |
| 1965 | 20.3 | 106 |
| 1964 | 20.6 | 103 |
| 1963 | 22.1 | 104.3 |
| 1962 | 22.7 | 106.7 |
| 1961 | 23.5 | 108.7 |
| 1960 | 23.2 | 108.7 |
| 1959 | 23.7 | 110.4 |
| 1958 | 22.9 | 108.5 |
| 1957 | 22.3 | 110.7 |
| 1956 | 22.8 | 108.8 |
| 1955 | 23.1 | 108.3 |
| 1954 | 22.1 | 107 |
| 1953 | 22.5 | 107.6 |
| 1952 | 21.4 | 108.9 |
| 1951 | 22.1 | 108.1 |
| 1950 | 22.3 | 110.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 墨西哥 | 巴基斯坦 |
|---|---|---|
| 2015 | 35.225.3–48.5 | 122100.8–136.6 |
| 2016 | 33.924.5–44.6 | 119.5104.9–132 |
| 2017 | 35.424.4–46.9 | 119.999.5–134.3 |
| 2018 | 3625.2–47.9 | 119.7103–133.8 |
| 2019 | 36.726–51.6 | 118.997.2–133.8 |
| 2020 | 37.325.8–50.6 | 122.8105–136.3 |
| 2021 | 37.726.7–51.1 | 122.9103.2–138.2 |
| 2022 | 37.225.5–52 | 120.7101.9–136.4 |
| 2023 | 38.426.6–52.5 | 123.3104.8–138.8 |
| 2024 | 42.228.1–55.6 | 124.4105.4–139.1 |
| 2025 | 39.627.6–53.3 | 123.8102.8–139.1 |
| 2026 | 39.126.4–51.8 | 122.5101.9–141.8 |
| 2027 | 37.926.5–53.6 | 124.4101.5–141 |
| 2028 | 40.127.8–55.7 | 124.8103.6–140.2 |
| 2029 | 41.727.6–56.7 | 126.499.2–141.6 |
| 2030 | 39.325.9–53 | 122.5103.5–140.1 |
| 2031 | 4127.8–56.3 | 122.7105.6–139.9 |
| 2032 | 42.527.6–55.9 | 126104–143.9 |
| 2033 | 42.530.2–57.1 | 125.9106.6–144.1 |
| 2034 | 40.427.8–56.6 | 130.9113.2–147.8 |
| 2035 | 40.528.2–56.9 | 127.1107.6–143.6 |
| 2036 | 41.428.9–55.3 | 125.5108.3–143.4 |
| 2037 | 44.230–59.6 | 130.7112.4–147.9 |
| 2038 | 45.130.6–59.7 | 130.9108.6–144.9 |
| 2039 | 4732.9–63.1 | 128.6110.2–144.9 |
| 2040 | 46.933.9–61.8 | 133.2115.1–146.1 |
| 2041 | 44.530.9–60.8 | 127.2108.3–143.5 |
| 2042 | 48.633.8–64.3 | 134.6112.8–150.7 |
| 2043 | 46.632.5–63.4 | 131.6112.5–149.3 |
| 2044 | 47.234.1–63.7 | 128.2108.1–145.9 |
| 2045 | 48.333.7–65.3 | 133.4116.7–148.7 |
| 2046 | 5035.6–64.3 | 133.8109–151.1 |
| 2047 | 51.537.2–67 | 134.6110–150.9 |
| 2048 | 50.235.3–67.1 | 136117.1–152.3 |
| 2049 | 52.336.1–69.5 | 133.3115.2–152.5 |
| 2050 | 50.234.4–66.5 | 138.4119.4–157.4 |
| 2051 | 50.436.9–66.9 | 138115.5–158.2 |
| 2052 | 5235.5–68.6 | 138.3120.3–155.3 |
| 2053 | 5336.9–70.2 | 137.4117.7–155.8 |
| 2054 | 52.835.8–69.3 | 137116–152.4 |
| 2055 | 54.437.3–71.1 | 139.6120–157.2 |
| 2056 | 52.837.6–69.6 | 135.8117.3–154.1 |
| 2057 | 55.937–72 | 141.5119.5–158.8 |
| 2058 | 51.536.7–70.5 | 137.1114.3–154.7 |
| 2059 | 55.340.6–72.6 | 141.4122.6–156.6 |
| 2060 | 55.739.5–73.4 | 142.5124.1–158.6 |
| 2061 | 57.642.1–73.9 | 142.3123.2–157.4 |
| 2062 | 5535.6–77 | 141.3118.8–161.2 |
| 2063 | 57.641.7–77.2 | 143.1125.6–160.6 |
| 2064 | 58.242.8–75 | 140.7119.8–163.5 |
| 2065 | 59.540.3–79 | 141.1121.5–159.3 |
| 2066 | 57.940.6–76.3 | 143.8122.5–163.4 |
| 2067 | 5841.9–76.7 | 144.2125.9–162.3 |
| 2068 | 60.343.2–79.1 | 143.2126–162.2 |
| 2069 | 58.339.8–80.5 | 144.7119.8–163.2 |
| 2070 | 60.239.8–80.8 | 143.7126.5–163 |
| 2071 | 61.344.6–81.4 | 145.5121.8–164.4 |
| 2072 | 63.144–80.9 | 147.1125.5–165.1 |
| 2073 | 62.842.3–85.4 | 149.2122.1–164.7 |
| 2074 | 6043.5–80.9 | 145.8126.7–162.2 |
| 2075 | 60.842.2–80.8 | 145.1126.2–160.5 |
| 2076 | 61.242.4–83.6 | 145.7126.4–165.9 |
| 2077 | 60.843.2–79.8 | 146.1126.2–164.4 |
| 2078 | 64.744.4–86.4 | 146.5121.4–164.4 |
| 2079 | 6646.1–87.4 | 144.6122.7–161 |
| 2080 | 64.744–84.6 | 148.2123.7–166.4 |
| 2081 | 64.845.7–84.4 | 145.8122.2–167 |
| 2082 | 63.643.2–82.2 | 146123.3–168.8 |
| 2083 | 65.140.9–89.7 | 148.3127–167.4 |
| 2084 | 65.446.4–86.3 | 150.5128.5–167.6 |
| 2085 | 65.744.8–85.9 | 149.9126.1–170.8 |
| 2086 | 64.644.8–85.1 | 146.3124.2–165 |
| 2087 | 64.644.4–84.2 | 149.9124.3–167.3 |
| 2088 | 6545.7–86.5 | 149.3127.9–169.7 |
| 2089 | 66.644.2–87.9 | 148.9129.6–166.7 |
| 2090 | 66.246–89 | 150.3131.5–166.7 |
| 2091 | 6946.6–92.4 | 151.1128.4–168.7 |
| 2092 | 67.746–86.5 | 150.5129.8–170.2 |
| 2093 | 66.846.9–91.6 | 151.6131.8–167.9 |
| 2094 | 67.546.7–92.1 | 151.5130.4–168.6 |
| 2095 | 70.149.8–93.9 | 152.5130.6–169.2 |
| 2096 | 68.547.9–91.7 | 150.8124.2–169 |
| 2097 | 67.346–89.7 | 149.4130.3–167.5 |
| 2098 | 71.348.2–95.2 | 151.7125.4–168.2 |
| 2099 | 68.349.1–91.5 | 151.6124.4–170.6 |
| 2100 | 67.846.4–88.6 | 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
墨西哥与巴基斯坦对比
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冲突
军用
- 军费开支墨西哥:2025 年为 GDP 的 0.74%巴基斯坦:2025 年为 GDP 的 2.91%
- 军费开支(美元)墨西哥:2025 年为 US$138亿巴基斯坦:2025 年为 US$115亿
- 人均军费开支墨西哥:2025 年为 US$104巴基斯坦:2025 年为 US$47
- 军费占政府支出比例墨西哥:2025 年为 2.5%(占政府支出)巴基斯坦:2025 年为 13.8%(占政府支出)
- 武装部队人员墨西哥:2020 年为 341,000 人巴基斯坦:2020 年为 943,000 人
- 国家实力墨西哥:2022 年为 1.14%(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墨西哥:2020 年为 0.64%(占劳动力)巴基斯坦:2020 年为 1.25%(占劳动力)
- 武器进口墨西哥:2025 年为 900万 TIV巴基斯坦:2025 年为 7.06亿 TIV
- 武器出口墨西哥:2019 年为 100万 TIV巴基斯坦:2025 年为 1.27亿 TIV