马拉维与乌干达对比
马拉维与乌干达:热带夜
2014 年热带夜:马拉维为 138.1 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年马拉维的数值较高,高出 13.4 夜,是乌干达的 1.11 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,马拉维的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年马拉维为 213.3 夜,乌干达为 245.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 马拉维 | 乌干达 |
|---|---|---|
| 2014 | 138.1 | 124.7 |
| 2013 | 138.9 | 124 |
| 2012 | 137.4 | 122.2 |
| 2011 | 136.6 | 125.7 |
| 2010 | 132.4 | 122.5 |
| 2009 | 131.4 | 114.8 |
| 2008 | 130.8 | 114.1 |
| 2007 | 132.8 | 111.2 |
| 2006 | 129.8 | 117.4 |
| 2005 | 129.5 | 113.8 |
| 2004 | 133.4 | 114.6 |
| 2003 | 132.5 | 114.4 |
| 2002 | 130.3 | 114.4 |
| 2001 | 134 | 117.1 |
| 2000 | 126.6 | 109 |
| 1999 | 124.8 | 105.5 |
| 1998 | 127.1 | 105 |
| 1997 | 124.2 | 106.1 |
| 1996 | 121.3 | 102.1 |
| 1995 | 120.9 | 99.9 |
| 1994 | 118.4 | 94.6 |
| 1993 | 113.8 | 90.8 |
| 1992 | 114.1 | 89.9 |
| 1991 | 120.9 | 102.1 |
| 1990 | 123.8 | 103.8 |
| 1989 | 120.5 | 99.1 |
| 1988 | 120.8 | 98.6 |
| 1987 | 118.8 | 98.3 |
| 1986 | 121.1 | 99.2 |
| 1985 | 115.7 | 92.1 |
| 1984 | 116.2 | 94.6 |
| 1983 | 115.5 | 90.4 |
| 1982 | 115.1 | 94.4 |
| 1981 | 119 | 98.5 |
| 1980 | 116.9 | 96.3 |
| 1979 | 117.7 | 93.9 |
| 1978 | 114.8 | 91 |
| 1977 | 117.2 | 95.1 |
| 1976 | 114 | 92 |
| 1975 | 114 | 89.6 |
| 1974 | 115.2 | 91.8 |
| 1973 | 114.7 | 92.8 |
| 1972 | 113.8 | 90 |
| 1971 | 114.1 | 87.1 |
| 1970 | 115.8 | 88.8 |
| 1969 | 114.3 | 88 |
| 1968 | 110 | 87.3 |
| 1967 | 109.8 | 82.3 |
| 1966 | 111 | 82.5 |
| 1965 | 111.5 | 82.2 |
| 1964 | 106.3 | 78.2 |
| 1963 | 107.5 | 80.3 |
| 1962 | 114.7 | 88.5 |
| 1961 | 116 | 90.7 |
| 1960 | 117.4 | 93.2 |
| 1959 | 115.6 | 91.3 |
| 1958 | 116.4 | 88.7 |
| 1957 | 114.6 | 90.1 |
| 1956 | 111.4 | 88.8 |
| 1955 | 115.2 | 89 |
| 1954 | 113.9 | 89.5 |
| 1953 | 113 | 89 |
| 1952 | 113.5 | 89.6 |
| 1951 | 113.5 | 91.1 |
| 1950 | 112.8 | 87.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 马拉维 | 乌干达 |
|---|---|---|
| 2015 | 145.7126.7–164.3 | 131.598.6–164.1 |
| 2016 | 139.8122.6–157.4 | 12398.5–154.1 |
| 2017 | 143.6127–161.8 | 133.7108.6–162.7 |
| 2018 | 143.1124.6–162.6 | 134.2102.5–164 |
| 2019 | 143.8128.3–161.4 | 131.3104.8–166.2 |
| 2020 | 145127.3–165.8 | 140.7102.6–171.5 |
| 2021 | 145.3128–163.6 | 137.9112.9–175.4 |
| 2022 | 151130.1–169.1 | 140116.2–169.9 |
| 2023 | 149.2129.5–171.2 | 140.4114.2–184.8 |
| 2024 | 152.4130–172.6 | 151.1113.5–186.7 |
| 2025 | 151.1129.7–170.4 | 143108.5–176.4 |
| 2026 | 151.1126.2–173.8 | 144.6109.7–179.6 |
| 2027 | 154.4135.1–173.1 | 147.6116–175.4 |
| 2028 | 155.5134.6–174 | 151.6120.2–179.6 |
| 2029 | 159.8139.2–178.5 | 155.2127.3–178.6 |
| 2030 | 155.6138.7–174.5 | 150.4117.6–185.1 |
| 2031 | 161.1143.4–177.6 | 161.6132–187.2 |
| 2032 | 160.8141.3–181.3 | 159.1134.2–190.5 |
| 2033 | 161.3135.6–179.2 | 158.9123.4–200.6 |
| 2034 | 160.9138.9–185 | 161.5135.6–202.5 |
| 2035 | 164.3140.4–189.5 | 164.9126.3–193 |
| 2036 | 163.8137.6–182.5 | 158.5127.7–195.4 |
| 2037 | 166.9144.6–189.2 | 168.3138.2–207.3 |
| 2038 | 172.2148.4–191.2 | 173.8139.7–206.2 |
| 2039 | 164.8147.3–188.2 | 171.2130.1–205 |
| 2040 | 164.4146.4–189.7 | 170.4134.1–207.4 |
| 2041 | 169.3143.7–192.5 | 176.3144.6–208 |
| 2042 | 169.8146.3–197.8 | 175137.8–214.3 |
| 2043 | 167.5147.1–193.2 | 173.6132.8–207.6 |
| 2044 | 172.6148.3–197 | 176.1136.8–206.9 |
| 2045 | 170.4153.1–194.7 | 178.9138.3–217.7 |
| 2046 | 176.3151.2–203.1 | 191.9136.6–235 |
| 2047 | 178.7157.8–200.9 | 187.7156.6–225.3 |
| 2048 | 180.7158.9–204.1 | 189.3151.5–227.4 |
| 2049 | 176.7154–205.4 | 195.1154.9–233.6 |
| 2050 | 180.4155.2–204.9 | 191150.7–236.4 |
| 2051 | 182.9162.1–207.4 | 191.2154.4–228.2 |
| 2052 | 184.9163.2–209.6 | 192.6157.7–231.7 |
| 2053 | 177.2149.6–207.4 | 194.5149.7–233.5 |
| 2054 | 185.1157.1–208 | 199156.3–236.8 |
| 2055 | 186.1159.2–212.6 | 201.3151.7–240.7 |
| 2056 | 184.6158.5–214.3 | 198.9156.9–240.2 |
| 2057 | 184.7159.3–212.3 | 200165.5–244.7 |
| 2058 | 188.5163.8–214.7 | 208.8156.5–248.3 |
| 2059 | 189.8166.9–218.5 | 212.7171.1–254 |
| 2060 | 192.6163.4–218.1 | 212.6160.3–253.1 |
| 2061 | 186.4158.8–216.8 | 208.9162.4–258.1 |
| 2062 | 192.3163.9–218.6 | 206.4159.1–267.6 |
| 2063 | 189.2165.2–220.3 | 209.3168.5–246.3 |
| 2064 | 197161.3–218 | 210.6166.2–253.8 |
| 2065 | 193.1165.8–225.2 | 214.5167.8–261.1 |
| 2066 | 201170.1–224.7 | 211.9171.8–256.1 |
| 2067 | 193.1164.2–223.7 | 208.4168.3–269.8 |
| 2068 | 198.6163.7–227.1 | 216.4169.7–268.7 |
| 2069 | 199.4165.8–225 | 213170.3–268.1 |
| 2070 | 198.7168–226.7 | 216.4176.4–270.9 |
| 2071 | 199.3167.9–233.5 | 215.5174.6–273.5 |
| 2072 | 202.3173.2–226.2 | 227.3184.1–272.3 |
| 2073 | 205.4168.2–233.4 | 230.4189.3–278.5 |
| 2074 | 198.2175.4–227.7 | 220.7176.9–277 |
| 2075 | 199.6168.9–228.3 | 217.7167–274.2 |
| 2076 | 198.8169.8–225.2 | 228.1178.9–279 |
| 2077 | 202172.2–231.2 | 229.5189.6–280.5 |
| 2078 | 203.5175.8–232.1 | 225.6187.8–276.4 |
| 2079 | 203.6172.2–236.1 | 231.9168.8–277.7 |
| 2080 | 204.7172.2–234.3 | 232.8182.6–283.1 |
| 2081 | 202.2174.9–231.3 | 227.9187.6–279.3 |
| 2082 | 204.3178.3–228.6 | 233.1185.6–279.4 |
| 2083 | 205.8170.7–238.3 | 232.2175.7–297 |
| 2084 | 208.1175.9–235.6 | 237.2185.5–288.8 |
| 2085 | 211.1179.4–241 | 239.5192.4–291.7 |
| 2086 | 203.3175.4–237 | 236.2189.8–289.4 |
| 2087 | 205.3181.2–237.7 | 239.4188.9–294 |
| 2088 | 211.6174.7–240.6 | 236.8193.6–288.9 |
| 2089 | 208.9180.5–237.8 | 238.8193.8–293.7 |
| 2090 | 209.4173.4–243 | 237.7190.1–301.5 |
| 2091 | 214.3179.7–244.8 | 251188.7–300.1 |
| 2092 | 213.2176.8–242.3 | 243.4194.9–297.8 |
| 2093 | 212.5177.8–242.2 | 244.4199.2–296.8 |
| 2094 | 211.8179.7–241.5 | 245.6202.9–299.8 |
| 2095 | 216.9185–243.8 | 253.2202.4–306.1 |
| 2096 | 213.1182–247.6 | 241.4196.5–304 |
| 2097 | 210.8174.9–242.1 | 243.1194–296.6 |
| 2098 | 214.4181.5–242.2 | 242.9199–302.3 |
| 2099 | 213.5181.9–244.1 | 247.3194.4–306.1 |
| 2100 | 213.3181.5–246.3 | 245.3195.5–307.2 |
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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
马拉维与乌干达对比
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军用
- 军费开支马拉维:2025 年为 GDP 的 1.15%乌干达:2025 年为 GDP 的 1.96%
- 军费开支(美元)马拉维:2025 年为 US$1.28亿乌干达:2025 年为 US$12亿
- 人均军费开支马拉维:2025 年为 US$7乌干达:2025 年为 US$26
- 军费占政府支出比例马拉维:2025 年为 3.8%(占政府支出)乌干达:2025 年为 9%(占政府支出)
- 武装部队人员马拉维:2020 年为 15,000 人乌干达:2020 年为 46,000 人
- 国家实力马拉维:2022 年为 0.07%(占全球实力)乌干达:2022 年为 0.2%(占全球实力)
- 武装部队占劳动力比例马拉维:2020 年为 0.2%(占劳动力)乌干达:2020 年为 0.24%(占劳动力)
- 武器进口马拉维:2024 年为 200万 TIV乌干达:2025 年为 200万 TIV
- 武器出口马拉维:2000 年为 100万 TIV乌干达:2016 年为 400万 TIV