危地马拉与洪都拉斯对比
危地马拉与洪都拉斯:35 °C 以上天数
2014 年35 °C 以上天数:危地马拉为 16.9 天,洪都拉斯为 3 天(CMIP6 气候模型中位数模拟)。 2014 年危地马拉的数值较高,高出 13.9 天,是洪都拉斯的 5.65 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,危地马拉的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年危地马拉为 47.9 天,洪都拉斯为 20.1 天。
逐年数据
每年天数 · CMIP6
| 年份 | 危地马拉 | 洪都拉斯 |
|---|---|---|
| 2014 | 16.9 | 3 |
| 2013 | 15.5 | 3.2 |
| 2012 | 15.4 | 3 |
| 2011 | 14.9 | 2.7 |
| 2010 | 17.5 | 3.1 |
| 2009 | 13.6 | 2.3 |
| 2008 | 14.5 | 2.3 |
| 2007 | 15.2 | 2.6 |
| 2006 | 14.5 | 2.4 |
| 2005 | 14.1 | 2.5 |
| 2004 | 13.7 | 2.7 |
| 2003 | 13.4 | 2.1 |
| 2002 | 13.5 | 2.3 |
| 2001 | 14.5 | 2.6 |
| 2000 | 12.9 | 2.1 |
| 1999 | 12.6 | 1.6 |
| 1998 | 11 | 2.2 |
| 1997 | 11.9 | 1.8 |
| 1996 | 10.7 | 1.6 |
| 1995 | 9 | 1.5 |
| 1994 | 10.3 | 1.5 |
| 1993 | 11 | 1.6 |
| 1992 | 8.9 | 1.1 |
| 1991 | 12.5 | 2 |
| 1990 | 13.4 | 2.2 |
| 1989 | 10.6 | 1.7 |
| 1988 | 10.1 | 1.4 |
| 1987 | 10 | 1.5 |
| 1986 | 12.2 | 2 |
| 1985 | 8.2 | 1.3 |
| 1984 | 7.4 | 1.4 |
| 1983 | 9 | 1.3 |
| 1982 | 11.1 | 1.8 |
| 1981 | 12 | 1.6 |
| 1980 | 8.5 | 1.3 |
| 1979 | 10.9 | 1.6 |
| 1978 | 8.5 | 1.4 |
| 1977 | 11 | 1.6 |
| 1976 | 10.3 | 1.6 |
| 1975 | 9 | 1.1 |
| 1974 | 10.5 | 1.4 |
| 1973 | 8.8 | 1.6 |
| 1972 | 10.2 | 1.3 |
| 1971 | 7.9 | 1.2 |
| 1970 | 9.2 | 1.2 |
| 1969 | 10.1 | 1.4 |
| 1968 | 8.6 | 1.3 |
| 1967 | 8.1 | 1.4 |
| 1966 | 8.2 | 1.5 |
| 1965 | 7.4 | 1 |
| 1964 | 9.2 | 1.2 |
| 1963 | 9.6 | 1.1 |
| 1962 | 10.1 | 1.5 |
| 1961 | 10.6 | 1.4 |
| 1960 | 10 | 1.4 |
| 1959 | 9.5 | 1.2 |
| 1958 | 9.3 | 1.4 |
| 1957 | 9.3 | 1.4 |
| 1956 | 8.7 | 1.2 |
| 1955 | 9.9 | 1.5 |
| 1954 | 8.9 | 1.6 |
| 1953 | 9.2 | 1.5 |
| 1952 | 9.6 | 1.7 |
| 1951 | 8.6 | 1.4 |
| 1950 | 8.5 | 1.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 危地马拉 | 洪都拉斯 |
|---|---|---|
| 2015 | 19.39.9–31.9 | 3.71.4–10.4 |
| 2016 | 16.19.8–23.4 | 2.91.2–8 |
| 2017 | 17.98.3–27.3 | 4.11.5–9.1 |
| 2018 | 17.610–28.9 | 3.51.6–9.8 |
| 2019 | 16.88.8–30.9 | 3.21.4–11 |
| 2020 | 19.29.2–30 | 3.71.4–8.7 |
| 2021 | 18.311–28.2 | 3.81.5–9.8 |
| 2022 | 20.211.8–31.7 | 3.51.9–11.3 |
| 2023 | 18.210.7–35.1 | 3.61.8–8.6 |
| 2024 | 23.112.3–35.2 | 4.91.9–11.1 |
| 2025 | 21.610.6–36 | 4.31.4–12 |
| 2026 | 19.59.8–35.1 | 4.51.4–10.7 |
| 2027 | 19.310.5–34.7 | 4.12.1–9.8 |
| 2028 | 21.711.2–40.8 | 4.52.2–11.2 |
| 2029 | 22.911.9–38 | 5.42.4–13.5 |
| 2030 | 199–33.2 | 4.22–10.3 |
| 2031 | 20.111.1–36.5 | 4.72.2–14.2 |
| 2032 | 23.113–35.3 | 4.62.1–15.9 |
| 2033 | 20.512.3–33.2 | 4.72.1–9.9 |
| 2034 | 21.610.3–38.1 | 4.51.9–12.9 |
| 2035 | 22.211.8–31.9 | 4.62.4–12.2 |
| 2036 | 23.513.6–33.7 | 4.82.6–10.6 |
| 2037 | 25.114.3–37.8 | 6.32.9–17.2 |
| 2038 | 26.613.9–40.6 | 6.62.8–15.3 |
| 2039 | 26.514.9–41.2 | 6.12.6–18.4 |
| 2040 | 24.811.2–37.4 | 6.32.5–13 |
| 2041 | 22.411.3–40.7 | 6.22.9–15.5 |
| 2042 | 26.412–41.9 | 6.72.3–20.4 |
| 2043 | 26.815.7–50.1 | 73–17.4 |
| 2044 | 25.912.8–48 | 6.42.5–18.4 |
| 2045 | 26.412.9–47.2 | 7.53.1–19.3 |
| 2046 | 30.916.1–47.6 | 93.3–20.3 |
| 2047 | 29.918.1–49 | 7.93.6–22.7 |
| 2048 | 28.816.9–44 | 83.8–22 |
| 2049 | 32.716.4–52.8 | 8.93.5–22.2 |
| 2050 | 27.819.1–43.8 | 7.63.6–20 |
| 2051 | 27.717.7–50.8 | 8.64.1–21.8 |
| 2052 | 32.917.9–52.1 | 9.64.8–24.6 |
| 2053 | 30.117.5–55.3 | 7.93.5–24.2 |
| 2054 | 30.818.1–49.5 | 8.33.9–26.2 |
| 2055 | 3219.4–52.4 | 10.64.5–26 |
| 2056 | 30.316.2–54 | 8.14–22.7 |
| 2057 | 32.416.5–52.3 | 9.93.7–23.2 |
| 2058 | 28.318.9–55.3 | 9.83.8–25.8 |
| 2059 | 36.220.3–55.5 | 12.14.3–30.2 |
| 2060 | 36.619.7–57.2 | 12.13.8–27.9 |
| 2061 | 36.321.9–58.2 | 12.14.4–25.7 |
| 2062 | 33.217.3–62.6 | 9.73.2–36.3 |
| 2063 | 36.219.3–60.3 | 10.24.2–33.8 |
| 2064 | 36.120.6–55.1 | 11.54.7–23.9 |
| 2065 | 40.717.2–60.3 | 13.85.6–33.5 |
| 2066 | 37.722.4–58.7 | 13.95–31.1 |
| 2067 | 33.120.8–57.4 | 104.3–26 |
| 2068 | 39.626.6–57.4 | 14.36.3–27.6 |
| 2069 | 42.221–65.7 | 14.64.9–29.8 |
| 2070 | 39.319.3–58.4 | 11.85.2–26.7 |
| 2071 | 40.523.2–62.5 | 15.66–34.7 |
| 2072 | 4422.5–70.5 | 16.65.2–40.6 |
| 2073 | 44.826.3–67.1 | 17.37.1–39.9 |
| 2074 | 37.919–60.3 | 12.15.8–30.7 |
| 2075 | 41.122.5–67.1 | 14.35.5–30.8 |
| 2076 | 40.123.5–60.6 | 13.75.8–29.3 |
| 2077 | 38.719.4–65.5 | 13.75.5–32.2 |
| 2078 | 41.823.6–64.2 | 16.46.2–33.7 |
| 2079 | 46.120.5–67.8 | 15.74.4–36 |
| 2080 | 42.924.9–62.6 | 14.75.7–36.8 |
| 2081 | 42.825–65.8 | 15.76.7–34.1 |
| 2082 | 41.620.2–63.7 | 15.64.6–30.7 |
| 2083 | 39.921.5–70.8 | 16.76.2–39 |
| 2084 | 44.125.4–73.9 | 18.46.3–37 |
| 2085 | 4623.7–72.1 | 19.25.7–42.4 |
| 2086 | 38.521–70.1 | 15.34.3–37.8 |
| 2087 | 44.324.3–73.9 | 195–37.2 |
| 2088 | 43.522.5–72.2 | 18.46.2–44.9 |
| 2089 | 37.323.7–68.2 | 15.77.1–38.5 |
| 2090 | 41.624.1–66 | 17.27.1–38.2 |
| 2091 | 46.824.7–77.3 | 19.86.5–47.7 |
| 2092 | 49.628.3–70.8 | 20.99.6–40.5 |
| 2093 | 43.626.5–76.4 | 18.27.6–47.6 |
| 2094 | 4527.1–75.6 | 198.5–42.1 |
| 2095 | 46.223.2–75.6 | 22.67.6–44 |
| 2096 | 43.224.5–77.5 | 17.67–44.2 |
| 2097 | 44.126.5–64.9 | 17.57.8–35.4 |
| 2098 | 49.823.6–84.5 | 23.88.2–51.1 |
| 2099 | 47.429.2–79.3 | 18.58.5–50.3 |
| 2100 | 47.924.4–79.7 | 20.17.8–46.7 |
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
危地马拉与洪都拉斯对比
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人口与社会
经济
教育
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冲突
军用
- 军费开支危地马拉:2025 年为 GDP 的 0.52%洪都拉斯:2025 年为 GDP 的 1.46%
- 军费开支(美元)危地马拉:2025 年为 US$6.17亿洪都拉斯:2025 年为 US$5.82亿
- 人均军费开支危地马拉:2025 年为 US$34洪都拉斯:2025 年为 US$53
- 军费占政府支出比例危地马拉:2025 年为 3.5%(占政府支出)洪都拉斯:2025 年为 5.7%(占政府支出)
- 武装部队人员危地马拉:2020 年为 43,000 人洪都拉斯:2020 年为 23,000 人
- 国家实力危地马拉:2022 年为 0.09%(占全球实力)洪都拉斯:2022 年为 0.06%(占全球实力)
- 武装部队占劳动力比例危地马拉:2020 年为 0.64%(占劳动力)洪都拉斯:2020 年为 0.56%(占劳动力)
- 武器进口危地马拉:2023 年为 600万 TIV洪都拉斯:2024 年为 700万 TIV