老挝与缅甸对比
老挝与缅甸:热带夜
2014 年热带夜:老挝为 192.8 夜,缅甸为 201.9 夜(CMIP6 气候模型中位数模拟)。 2014 年缅甸的数值较高,高出 9.1 夜,是老挝的 1.05 倍。
每年夜数 · 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 年老挝为 246.3 夜,缅甸为 244.5 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 老挝 | 缅甸 |
|---|---|---|
| 2014 | 192.8 | 201.9 |
| 2013 | 195.1 | 203.1 |
| 2012 | 191.6 | 201.1 |
| 2011 | 193 | 200.9 |
| 2010 | 190.7 | 202.1 |
| 2009 | 189.1 | 199 |
| 2008 | 188.6 | 198.1 |
| 2007 | 185.3 | 196.8 |
| 2006 | 188.6 | 198.2 |
| 2005 | 186.1 | 196.7 |
| 2004 | 191.4 | 200.3 |
| 2003 | 183.8 | 195.3 |
| 2002 | 184.7 | 196.6 |
| 2001 | 190.3 | 199 |
| 2000 | 185.1 | 197.2 |
| 1999 | 183.9 | 196.4 |
| 1998 | 184.9 | 194.7 |
| 1997 | 184.9 | 194.4 |
| 1996 | 177.4 | 191.4 |
| 1995 | 176.6 | 189.9 |
| 1994 | 179.4 | 188.8 |
| 1993 | 170.4 | 185 |
| 1992 | 165.3 | 180.5 |
| 1991 | 178.5 | 191.7 |
| 1990 | 181.2 | 191.5 |
| 1989 | 176.1 | 190.3 |
| 1988 | 178.1 | 190.7 |
| 1987 | 177.3 | 190.8 |
| 1986 | 176.9 | 189.7 |
| 1985 | 172.3 | 187.4 |
| 1984 | 175.7 | 189.1 |
| 1983 | 166.9 | 182.3 |
| 1982 | 173.8 | 186.7 |
| 1981 | 174.1 | 188.4 |
| 1980 | 175.3 | 189 |
| 1979 | 174.1 | 189.8 |
| 1978 | 170.7 | 186.8 |
| 1977 | 172.6 | 187.4 |
| 1976 | 169.8 | 185.8 |
| 1975 | 169.3 | 183.6 |
| 1974 | 171.2 | 185.5 |
| 1973 | 177.3 | 187.5 |
| 1972 | 169.3 | 184.8 |
| 1971 | 168.6 | 185.2 |
| 1970 | 169.4 | 184.9 |
| 1969 | 171.8 | 184.3 |
| 1968 | 170.3 | 183.7 |
| 1967 | 164.6 | 182.3 |
| 1966 | 171.4 | 186.2 |
| 1965 | 168.3 | 182.9 |
| 1964 | 164.5 | 180.6 |
| 1963 | 166.3 | 183.1 |
| 1962 | 173 | 187.3 |
| 1961 | 175 | 188.7 |
| 1960 | 173.2 | 187.1 |
| 1959 | 170.1 | 186.5 |
| 1958 | 176.9 | 187.1 |
| 1957 | 171.8 | 186.2 |
| 1956 | 173.3 | 187.9 |
| 1955 | 172.8 | 185.9 |
| 1954 | 171.8 | 185.7 |
| 1953 | 171.8 | 185 |
| 1952 | 173.6 | 186.1 |
| 1951 | 175.3 | 187.1 |
| 1950 | 172.1 | 186.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 老挝 | 缅甸 |
|---|---|---|
| 2015 | 198.2176.6–216.8 | 205.2186.4–218.9 |
| 2016 | 193174.6–213.8 | 202.8186.2–218.8 |
| 2017 | 198.1178.2–215.1 | 203.4187.3–218.3 |
| 2018 | 198.8178.8–218.7 | 205.5190.9–219.9 |
| 2019 | 200.6172.9–217.8 | 205.2186.7–222.2 |
| 2020 | 201.8177.8–220 | 208.2188.5–223.5 |
| 2021 | 204.2184–224.5 | 208.9191.2–224.1 |
| 2022 | 205.2182.2–225.7 | 209.9192.7–224.9 |
| 2023 | 206.2187.2–224.3 | 210.6195.4–226.3 |
| 2024 | 205.2186.3–221.9 | 210.4193.8–226.6 |
| 2025 | 206.1181.2–224 | 209.9190.3–225.2 |
| 2026 | 207.5183.6–226.9 | 212.2194.3–229.2 |
| 2027 | 206.4185.8–226.4 | 212195.6–228.6 |
| 2028 | 208.4186.8–230.5 | 213195.7–227.2 |
| 2029 | 215.3189.5–232.4 | 215.3193.9–231.9 |
| 2030 | 209.8189.3–227.8 | 212.2194.9–228 |
| 2031 | 211.6194.2–230.7 | 214.3197.2–230.8 |
| 2032 | 211.4191–229.3 | 215199.3–229.6 |
| 2033 | 212.8193.9–231.8 | 215.5198.5–230.1 |
| 2034 | 214.5190.9–236 | 214.9198.4–233.5 |
| 2035 | 213.3192.8–234.5 | 214.9199.2–236.8 |
| 2036 | 213.6191.7–231.6 | 216198.7–234.5 |
| 2037 | 215.7195.2–234.2 | 217.2199.6–233.5 |
| 2038 | 221.3202.2–238.1 | 220.7204.8–235.1 |
| 2039 | 216195.9–235.9 | 219.7202.4–234.3 |
| 2040 | 217.2196.2–235.1 | 219.2202.9–235 |
| 2041 | 221.3199.8–240.8 | 220.7203.9–237.7 |
| 2042 | 221.3200.3–239.4 | 221.8206.1–237.2 |
| 2043 | 218.2199.3–237.8 | 219.5201.2–237.1 |
| 2044 | 219.8194.2–237.9 | 221.4201.6–239.6 |
| 2045 | 223.9202.3–242.4 | 223.7204.8–241.5 |
| 2046 | 222.1198–239 | 223.2203.2–240.2 |
| 2047 | 225202.1–243.8 | 224.3204.8–241.1 |
| 2048 | 226.8204.9–247.7 | 226.4207.7–243.8 |
| 2049 | 226.6206–249 | 226.5205.6–242.8 |
| 2050 | 226.9207.5–245.6 | 227209.3–243.5 |
| 2051 | 229.3208.8–247.3 | 229.6212.4–246.4 |
| 2052 | 228.7209.4–244.4 | 227.2208.6–244.2 |
| 2053 | 227.2206.2–247.2 | 227.9208.7–247.7 |
| 2054 | 228206.7–247.3 | 227.9209.6–244.8 |
| 2055 | 227.3206.6–248.1 | 229.1209.8–247.5 |
| 2056 | 232.1212.8–253.7 | 231.8210.4–252.1 |
| 2057 | 227.9207.9–248.4 | 228.6208–249 |
| 2058 | 229.6207.8–249.3 | 228.9208.8–249 |
| 2059 | 233.1214.1–249.5 | 230.7212.1–247.5 |
| 2060 | 237.7213.2–253.7 | 234.7211.1–251.5 |
| 2061 | 233.5210–254.8 | 231.9213–247.7 |
| 2062 | 230.6209–257.1 | 233.6209.9–252.8 |
| 2063 | 232.2211–250.9 | 233215.4–250.5 |
| 2064 | 235213.9–252 | 233.2214.4–251.3 |
| 2065 | 232.1213.7–253.3 | 230.7210.4–250.7 |
| 2066 | 232.1212.3–251.7 | 233.5214.3–251.2 |
| 2067 | 231.7205.9–254.2 | 233211.5–253.3 |
| 2068 | 235.6212.3–256.8 | 233.1212.4–253.7 |
| 2069 | 237.4213.9–257.5 | 236.1214.6–253.4 |
| 2070 | 234.4213.7–255.9 | 235.9218.1–253.4 |
| 2071 | 236212.9–260.4 | 235.1213.5–259.6 |
| 2072 | 239214.7–254.8 | 234.6216.1–252.6 |
| 2073 | 239.6220.8–259 | 237.2219.3–257.2 |
| 2074 | 239214.1–260.4 | 236.4215.7–254.5 |
| 2075 | 238.6215.1–260.7 | 236.7214.4–255.9 |
| 2076 | 240.5216.9–263.9 | 237.7216–257 |
| 2077 | 242.2222.7–262.5 | 237.5219–258.7 |
| 2078 | 242.1215.9–260.8 | 238.5217.3–257.8 |
| 2079 | 241.1222.6–260.6 | 238.5219.2–257.2 |
| 2080 | 240.8220.6–264.8 | 240.5218.8–258.3 |
| 2081 | 242.8217.4–264.5 | 240219.7–260.9 |
| 2082 | 243.2216.6–262.4 | 239.4217.1–258.8 |
| 2083 | 239.6219.9–261.2 | 239.1220.5–259.2 |
| 2084 | 241.7215.2–260 | 241.3218.9–260.6 |
| 2085 | 243.6221.2–266.3 | 241.7218.8–260.7 |
| 2086 | 244.4218.2–267.7 | 241.7217.4–262.7 |
| 2087 | 243.8219.7–267 | 241.4220.5–260.9 |
| 2088 | 246.1224.3–269.6 | 241.8222.3–261.5 |
| 2089 | 242.8220.1–268.3 | 240.7221.2–262.6 |
| 2090 | 242.8226.2–266.1 | 241.3224.4–260.9 |
| 2091 | 245.5221.4–267 | 242.6220.3–262.5 |
| 2092 | 243.1220.1–266.5 | 241.9221.6–263.3 |
| 2093 | 242.1221.2–263.6 | 242.1220.2–260 |
| 2094 | 245.7224.8–267.6 | 242.5222.5–261.9 |
| 2095 | 249.4222.7–273.4 | 244.9224–264.4 |
| 2096 | 244.6221.7–268.3 | 243.9221.1–266.5 |
| 2097 | 244.8221–265.4 | 243.6219.6–264.2 |
| 2098 | 245.4224.3–268 | 243.6222.5–263.9 |
| 2099 | 247.3220.9–265.1 | 244.7221.8–263.5 |
| 2100 | 246.3220–266.4 | 244.5223.2–261.8 |
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须知
- 一年中气温始终高于 20 °C 的夜晚数,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
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军用
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- 军费开支(美元)老挝:2013 年为 US$2180万缅甸:2024 年为 US$46.5亿
- 人均军费开支老挝:2013 年为 US$3缅甸:2024 年为 US$92
- 军费占政府支出比例老挝:2013 年为 0.8%(占政府支出)缅甸:2024 年为 32%(占政府支出)
- 武装部队人员老挝:2020 年为 129,000 人缅甸:2020 年为 463,000 人
- 国家实力老挝:2022 年为 0.06%(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老挝:2020 年为 4.08%(占劳动力)缅甸:2020 年为 1.94%(占劳动力)
- 武器进口老挝:2024 年为 700万 TIV缅甸:2025 年为 7000万 TIV