印度尼西亚与缅甸对比
印度尼西亚与缅甸:35 °C 以上天数
2014 年35 °C 以上天数:印度尼西亚为 0.1 天,缅甸为 28.8 天(CMIP6 气候模型中位数模拟)。 2014 年缅甸的数值较高,高出 28.7 天,是印度尼西亚的 320 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 年印度尼西亚为 7.5 天,缅甸为 57 天。
逐年数据
每年天数 · CMIP6
| 年份 | 印度尼西亚 | 缅甸 |
|---|---|---|
| 2014 | 0.1 | 28.8 |
| 2013 | 0.1 | 28 |
| 2012 | 0.1 | 27.5 |
| 2011 | 0.1 | 27.4 |
| 2010 | 0.1 | 27.9 |
| 2009 | 0.1 | 27.3 |
| 2008 | 0.1 | 27.2 |
| 2007 | 0.1 | 25.4 |
| 2006 | 0 | 26.8 |
| 2005 | 0.1 | 25 |
| 2004 | 0.1 | 28.3 |
| 2003 | 0.1 | 26.4 |
| 2002 | 0.1 | 27.4 |
| 2001 | 0.1 | 28.4 |
| 2000 | 0.1 | 26.6 |
| 1999 | 0 | 26.1 |
| 1998 | 0.1 | 26.4 |
| 1997 | 0 | 26.2 |
| 1996 | 0 | 24.7 |
| 1995 | 0 | 25.5 |
| 1994 | 0 | 24.3 |
| 1993 | 0 | 23.9 |
| 1992 | 0 | 20.5 |
| 1991 | 0 | 28.4 |
| 1990 | 0 | 26.3 |
| 1989 | 0.1 | 23.8 |
| 1988 | 0 | 23.9 |
| 1987 | 0 | 25.4 |
| 1986 | 0 | 26.6 |
| 1985 | 0 | 23.6 |
| 1984 | 0 | 25.8 |
| 1983 | 0 | 23.2 |
| 1982 | 0 | 24 |
| 1981 | 0 | 23.8 |
| 1980 | 0 | 23.5 |
| 1979 | 0 | 25.3 |
| 1978 | 0 | 23.4 |
| 1977 | 0 | 24.1 |
| 1976 | 0 | 25.6 |
| 1975 | 0 | 22.3 |
| 1974 | 0 | 24.1 |
| 1973 | 0 | 25.9 |
| 1972 | 0 | 23.1 |
| 1971 | 0 | 22.8 |
| 1970 | 0 | 24.2 |
| 1969 | 0 | 23.6 |
| 1968 | 0 | 23.4 |
| 1967 | 0 | 24.1 |
| 1966 | 0 | 23.1 |
| 1965 | 0 | 23.3 |
| 1964 | 0 | 21.7 |
| 1963 | 0 | 23.2 |
| 1962 | 0 | 24.4 |
| 1961 | 0 | 24.9 |
| 1960 | 0 | 26.2 |
| 1959 | 0 | 22.6 |
| 1958 | 0 | 25 |
| 1957 | 0 | 24.1 |
| 1956 | 0 | 25 |
| 1955 | 0 | 24.5 |
| 1954 | 0 | 25.3 |
| 1953 | 0 | 23.5 |
| 1952 | 0 | 26.1 |
| 1951 | 0 | 25 |
| 1950 | 0 | 23.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 印度尼西亚 | 缅甸 |
|---|---|---|
| 2015 | 0.10–1 | 28.518.5–40 |
| 2016 | 0.10–0.8 | 27.717.3–38.7 |
| 2017 | 0.10–1.5 | 2818.9–38.5 |
| 2018 | 0.20–2.1 | 29.818.6–41.2 |
| 2019 | 0.10–0.8 | 28.218.2–41.3 |
| 2020 | 0.20–1.2 | 28.616.8–41.4 |
| 2021 | 0.40–2.4 | 29.719.4–40.8 |
| 2022 | 0.30–2 | 31.521.7–42.7 |
| 2023 | 0.30–1.5 | 30.319.9–41.6 |
| 2024 | 0.40–2.8 | 31.720.1–43.7 |
| 2025 | 0.50–3.8 | 32.721.3–44.8 |
| 2026 | 0.40–3 | 30.420.3–44.5 |
| 2027 | 0.40–2.3 | 30.620.4–44.2 |
| 2028 | 0.50–3.2 | 31.119–43 |
| 2029 | 0.50.1–3.2 | 32.720.9–46.4 |
| 2030 | 0.40–3 | 32.619.3–45 |
| 2031 | 0.60.1–4.3 | 32.721.3–45.2 |
| 2032 | 0.70.1–3 | 32.119.6–45.4 |
| 2033 | 0.40–2.3 | 33.322–43.8 |
| 2034 | 0.60.1–6 | 31.322–43.5 |
| 2035 | 0.50–3.7 | 32.620.4–49 |
| 2036 | 0.70.1–3.6 | 33.322.7–46.1 |
| 2037 | 10.1–4 | 34.322.6–49.1 |
| 2038 | 0.70.1–4.8 | 35.824.4–49.9 |
| 2039 | 0.90.1–4 | 34.920.9–49 |
| 2040 | 10.1–6.2 | 3419.2–51.2 |
| 2041 | 0.80.1–4.8 | 3724.8–51.9 |
| 2042 | 0.70.1–4.9 | 36.223–49.9 |
| 2043 | 0.80.1–5.5 | 34.522.6–47.7 |
| 2044 | 0.70.1–5.4 | 38.222.1–51.2 |
| 2045 | 10.1–6.2 | 35.924.2–50.7 |
| 2046 | 1.30.2–6.4 | 38.425.2–57.1 |
| 2047 | 1.40.1–7.7 | 38.824.1–56.1 |
| 2048 | 1.60.2–8.1 | 40.323.4–58.7 |
| 2049 | 1.30.2–7.1 | 40.625.2–58.1 |
| 2050 | 1.30.1–9.2 | 40.226.5–55.3 |
| 2051 | 1.70.2–9.5 | 41.726.7–56.8 |
| 2052 | 1.70.2–7.4 | 40.326.3–61.2 |
| 2053 | 1.70.2–9.8 | 41.323.6–61.5 |
| 2054 | 1.60.2–11.6 | 42.426.8–60.9 |
| 2055 | 1.70.3–7.9 | 41.428.5–61.9 |
| 2056 | 2.10.2–9.8 | 42.726.5–63 |
| 2057 | 2.60.1–11.2 | 43.226.3–63.2 |
| 2058 | 1.90.2–12.8 | 44.526.8–63.6 |
| 2059 | 3.20.4–13.6 | 43.729.1–65.3 |
| 2060 | 3.30.5–13.4 | 47.428.3–66 |
| 2061 | 1.90.2–13.4 | 46.729.5–64.5 |
| 2062 | 3.30.3–14.9 | 47.126.7–68.6 |
| 2063 | 2.80.4–12.6 | 46.929–66.4 |
| 2064 | 2.60.3–10.9 | 47.527.9–66.1 |
| 2065 | 30.4–15.7 | 42.427.5–62.4 |
| 2066 | 2.80.3–14.8 | 46.228.9–68.8 |
| 2067 | 2.70.3–17.8 | 4125.7–63.6 |
| 2068 | 3.20.4–15.2 | 46.928–70.4 |
| 2069 | 2.70.2–14.7 | 48.729.3–70.1 |
| 2070 | 3.10.4–17.3 | 43.927.5–64.3 |
| 2071 | 2.90.4–15.6 | 4926.2–71.9 |
| 2072 | 4.10.5–20.2 | 4730.6–71.4 |
| 2073 | 40.4–22.8 | 50.732.2–74 |
| 2074 | 2.70.4–17.4 | 4829.2–74 |
| 2075 | 3.30.4–17.6 | 49.126.1–68.9 |
| 2076 | 4.80.5–20 | 47.826.5–72.8 |
| 2077 | 4.20.4–21.4 | 51.832.9–76.1 |
| 2078 | 40.5–21.6 | 50.632.4–75.6 |
| 2079 | 4.10.4–19 | 50.730.5–77 |
| 2080 | 3.90.3–20.1 | 53.331.3–79.5 |
| 2081 | 40.4–19.1 | 5235.5–79.1 |
| 2082 | 4.30.8–17.4 | 52.532.5–76.8 |
| 2083 | 4.20.4–19.7 | 51.730.5–79.6 |
| 2084 | 4.80.5–22.7 | 52.329.5–76 |
| 2085 | 5.40.5–26.3 | 51.232.9–79.4 |
| 2086 | 40.5–23.7 | 52.632.5–80.1 |
| 2087 | 5.90.5–22.4 | 51.732.6–77.9 |
| 2088 | 4.90.6–22 | 50.727.2–88.8 |
| 2089 | 4.30.6–23.1 | 52.731.4–86.3 |
| 2090 | 5.30.7–23.7 | 54.231.1–80.1 |
| 2091 | 4.90.6–25.2 | 53.235.4–80.1 |
| 2092 | 5.50.7–24.8 | 54.135.4–85.5 |
| 2093 | 5.60.7–24.5 | 5235.6–85 |
| 2094 | 6.50.9–24.5 | 54.434.9–80.7 |
| 2095 | 60.7–32 | 58.535.1–84.3 |
| 2096 | 5.40.6–26.8 | 52.832.3–84.1 |
| 2097 | 6.80.8–25.3 | 53.230.4–82.8 |
| 2098 | 5.70.7–27.9 | 55.334.4–83.8 |
| 2099 | 5.40.7–28.1 | 55.233.1–84.7 |
| 2100 | 7.50.7–28.9 | 5734.6–84 |
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
印度尼西亚与缅甸对比
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冲突
军用
- 军费开支印度尼西亚:2025 年为 GDP 的 1.05%缅甸:2024 年为 GDP 的 6.61%
- 军费开支(美元)印度尼西亚:2025 年为 US$153亿缅甸:2024 年为 US$46.5亿
- 人均军费开支印度尼西亚:2025 年为 US$53缅甸:2024 年为 US$92
- 军费占政府支出比例印度尼西亚:2025 年为 6.3%(占政府支出)缅甸:2024 年为 32%(占政府支出)
- 武装部队人员印度尼西亚:2020 年为 676,000 人缅甸:2020 年为 463,000 人
- 国家实力印度尼西亚:2022 年为 2.09%(占全球实力)缅甸:2022 年为 0.53%(占全球实力)
- 武装部队占劳动力比例印度尼西亚:2020 年为 0.49%(占劳动力)缅甸:2020 年为 1.94%(占劳动力)
- 武器进口印度尼西亚:2025 年为 12.8亿 TIV缅甸:2025 年为 7000万 TIV