马拉维与坦桑尼亚对比
马拉维与坦桑尼亚:热带夜
2014 年热带夜:马拉维为 138.1 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年马拉维的数值较高,高出 31.8 夜,是坦桑尼亚的 1.3 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,坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 马拉维 | 坦桑尼亚 |
|---|---|---|
| 2014 | 138.1 | 106.3 |
| 2013 | 138.9 | 105.5 |
| 2012 | 137.4 | 108.4 |
| 2011 | 136.6 | 109 |
| 2010 | 132.4 | 103.9 |
| 2009 | 131.4 | 101.1 |
| 2008 | 130.8 | 100.3 |
| 2007 | 132.8 | 99.5 |
| 2006 | 129.8 | 100.4 |
| 2005 | 129.5 | 98.7 |
| 2004 | 133.4 | 100.4 |
| 2003 | 132.5 | 99.6 |
| 2002 | 130.3 | 98.4 |
| 2001 | 134 | 101.5 |
| 2000 | 126.6 | 94.9 |
| 1999 | 124.8 | 94.2 |
| 1998 | 127.1 | 96.8 |
| 1997 | 124.2 | 93.5 |
| 1996 | 121.3 | 89.6 |
| 1995 | 120.9 | 88.5 |
| 1994 | 118.4 | 85.4 |
| 1993 | 113.8 | 81.2 |
| 1992 | 114.1 | 80.1 |
| 1991 | 120.9 | 89.6 |
| 1990 | 123.8 | 91.1 |
| 1989 | 120.5 | 89.1 |
| 1988 | 120.8 | 87.6 |
| 1987 | 118.8 | 88.5 |
| 1986 | 121.1 | 89.4 |
| 1985 | 115.7 | 83 |
| 1984 | 116.2 | 83.1 |
| 1983 | 115.5 | 82.1 |
| 1982 | 115.1 | 84.8 |
| 1981 | 119 | 88 |
| 1980 | 116.9 | 85 |
| 1979 | 117.7 | 85.5 |
| 1978 | 114.8 | 82.9 |
| 1977 | 117.2 | 84.1 |
| 1976 | 114 | 81 |
| 1975 | 114 | 80.8 |
| 1974 | 115.2 | 82.2 |
| 1973 | 114.7 | 83.6 |
| 1972 | 113.8 | 81.4 |
| 1971 | 114.1 | 80.7 |
| 1970 | 115.8 | 81.8 |
| 1969 | 114.3 | 79.5 |
| 1968 | 110 | 79.1 |
| 1967 | 109.8 | 77.5 |
| 1966 | 111 | 78.1 |
| 1965 | 111.5 | 78 |
| 1964 | 106.3 | 73.8 |
| 1963 | 107.5 | 73.1 |
| 1962 | 114.7 | 81.1 |
| 1961 | 116 | 82.6 |
| 1960 | 117.4 | 83.9 |
| 1959 | 115.6 | 81.4 |
| 1958 | 116.4 | 82.1 |
| 1957 | 114.6 | 80.9 |
| 1956 | 111.4 | 80 |
| 1955 | 115.2 | 81.6 |
| 1954 | 113.9 | 81.4 |
| 1953 | 113 | 80.6 |
| 1952 | 113.5 | 81.4 |
| 1951 | 113.5 | 82.1 |
| 1950 | 112.8 | 80.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 马拉维 | 坦桑尼亚 |
|---|---|---|
| 2015 | 145.7126.7–164.3 | 114.895.2–137.4 |
| 2016 | 139.8122.6–157.4 | 108.391.6–125.6 |
| 2017 | 143.6127–161.8 | 114.893.6–137.8 |
| 2018 | 143.1124.6–162.6 | 116.497.4–137.1 |
| 2019 | 143.8128.3–161.4 | 113.495.2–133.2 |
| 2020 | 145127.3–165.8 | 119.396.2–143.5 |
| 2021 | 145.3128–163.6 | 119.5100.9–147.1 |
| 2022 | 151130.1–169.1 | 124.4105.3–147.4 |
| 2023 | 149.2129.5–171.2 | 122.1102.1–147.8 |
| 2024 | 152.4130–172.6 | 126.2100–150.1 |
| 2025 | 151.1129.7–170.4 | 124.6100.9–154 |
| 2026 | 151.1126.2–173.8 | 126.999.1–155.6 |
| 2027 | 154.4135.1–173.1 | 128102.9–147.7 |
| 2028 | 155.5134.6–174 | 129.9106.4–152.1 |
| 2029 | 159.8139.2–178.5 | 134.1111–156.5 |
| 2030 | 155.6138.7–174.5 | 129.4106.4–151.1 |
| 2031 | 161.1143.4–177.6 | 136.4115.9–158.4 |
| 2032 | 160.8141.3–181.3 | 135.1114–166.8 |
| 2033 | 161.3135.6–179.2 | 135.2110.9–161.9 |
| 2034 | 160.9138.9–185 | 134.7112.5–166.3 |
| 2035 | 164.3140.4–189.5 | 140.2114.6–165 |
| 2036 | 163.8137.6–182.5 | 137.8113.3–165.5 |
| 2037 | 166.9144.6–189.2 | 142.9121.5–168.9 |
| 2038 | 172.2148.4–191.2 | 147.9124.3–169.3 |
| 2039 | 164.8147.3–188.2 | 144.3117.6–171.3 |
| 2040 | 164.4146.4–189.7 | 140.5117–178 |
| 2041 | 169.3143.7–192.5 | 149.1121.7–175.6 |
| 2042 | 169.8146.3–197.8 | 146.3120.5–185.3 |
| 2043 | 167.5147.1–193.2 | 144.6117–173 |
| 2044 | 172.6148.3–197 | 147.7121.2–175.8 |
| 2045 | 170.4153.1–194.7 | 150.1125.2–183.4 |
| 2046 | 176.3151.2–203.1 | 161.5128.6–192.2 |
| 2047 | 178.7157.8–200.9 | 160.2129.7–194.4 |
| 2048 | 180.7158.9–204.1 | 158.8132.7–193.1 |
| 2049 | 176.7154–205.4 | 157.6131.1–196 |
| 2050 | 180.4155.2–204.9 | 159.7127.8–192 |
| 2051 | 182.9162.1–207.4 | 163.2135.5–197.8 |
| 2052 | 184.9163.2–209.6 | 161.9136.2–199.1 |
| 2053 | 177.2149.6–207.4 | 160.6127.5–197.7 |
| 2054 | 185.1157.1–208 | 163.2131.5–200.2 |
| 2055 | 186.1159.2–212.6 | 167.4137–208.3 |
| 2056 | 184.6158.5–214.3 | 166.4130.8–209.7 |
| 2057 | 184.7159.3–212.3 | 168134.6–208.3 |
| 2058 | 188.5163.8–214.7 | 168.7134.9–210.3 |
| 2059 | 189.8166.9–218.5 | 174.7144.9–219.5 |
| 2060 | 192.6163.4–218.1 | 181.7138.1–219.8 |
| 2061 | 186.4158.8–216.8 | 171.8135.5–218.1 |
| 2062 | 192.3163.9–218.6 | 177.5139.9–224 |
| 2063 | 189.2165.2–220.3 | 181.4140.1–213.8 |
| 2064 | 197161.3–218 | 185.3140.1–215.2 |
| 2065 | 193.1165.8–225.2 | 183.5141.1–221.8 |
| 2066 | 201170.1–224.7 | 181.9146.3–219.3 |
| 2067 | 193.1164.2–223.7 | 178.8138.8–229.2 |
| 2068 | 198.6163.7–227.1 | 186144.2–228.4 |
| 2069 | 199.4165.8–225 | 183.7141.7–225.3 |
| 2070 | 198.7168–226.7 | 180.7140.4–228.2 |
| 2071 | 199.3167.9–233.5 | 184.9146.9–235.2 |
| 2072 | 202.3173.2–226.2 | 191.3155–226.1 |
| 2073 | 205.4168.2–233.4 | 191.6152.4–235.6 |
| 2074 | 198.2175.4–227.7 | 183.3149.7–231.7 |
| 2075 | 199.6168.9–228.3 | 183.8144.8–233 |
| 2076 | 198.8169.8–225.2 | 191.1150.9–233.2 |
| 2077 | 202172.2–231.2 | 191.3152.6–238.2 |
| 2078 | 203.5175.8–232.1 | 189156.6–233.8 |
| 2079 | 203.6172.2–236.1 | 190.5147–237.3 |
| 2080 | 204.7172.2–234.3 | 197.3150.7–241.2 |
| 2081 | 202.2174.9–231.3 | 195.6153.4–237.4 |
| 2082 | 204.3178.3–228.6 | 194.5157.3–237.3 |
| 2083 | 205.8170.7–238.3 | 193.2151–249.8 |
| 2084 | 208.1175.9–235.6 | 201.1152.2–246.7 |
| 2085 | 211.1179.4–241 | 204.2162.3–252.3 |
| 2086 | 203.3175.4–237 | 195156–248.7 |
| 2087 | 205.3181.2–237.7 | 196.7160.8–244.5 |
| 2088 | 211.6174.7–240.6 | 208.4154.7–246.9 |
| 2089 | 208.9180.5–237.8 | 201.3158.6–248.2 |
| 2090 | 209.4173.4–243 | 197.9160.7–253.6 |
| 2091 | 214.3179.7–244.8 | 210161.6–256 |
| 2092 | 213.2176.8–242.3 | 205.8158.3–253.6 |
| 2093 | 212.5177.8–242.2 | 207.2161.2–251.9 |
| 2094 | 211.8179.7–241.5 | 207.9161.3–250.6 |
| 2095 | 216.9185–243.8 | 214.2166.4–258.5 |
| 2096 | 213.1182–247.6 | 205.3159.8–257.4 |
| 2097 | 210.8174.9–242.1 | 206.6158.4–256.8 |
| 2098 | 214.4181.5–242.2 | 209.1161–258.3 |
| 2099 | 213.5181.9–244.1 | 208.5160.1–256 |
| 2100 | 213.3181.5–246.3 | 208158.6–258.6 |
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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
马拉维与坦桑尼亚对比
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人口与社会
经济
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冲突
军用
- 军费开支马拉维:2025 年为 GDP 的 1.15%坦桑尼亚:2025 年为 GDP 的 1.16%
- 军费开支(美元)马拉维:2025 年为 US$1.28亿坦桑尼亚:2025 年为 US$9.83亿
- 人均军费开支马拉维:2025 年为 US$7坦桑尼亚:2025 年为 US$15
- 军费占政府支出比例马拉维:2025 年为 3.8%(占政府支出)坦桑尼亚:2025 年为 5.8%(占政府支出)
- 武装部队人员马拉维:2020 年为 15,000 人坦桑尼亚:2020 年为 28,000 人
- 国家实力马拉维:2022 年为 0.07%(占全球实力)坦桑尼亚:2022 年为 0.25%(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)坦桑尼亚:2020 年为 0.1%(占劳动力)
- 武器进口马拉维:2024 年为 200万 TIV坦桑尼亚:2025 年为 400万 TIV