莫桑比克与坦桑尼亚对比
莫桑比克与坦桑尼亚:热带夜
2014 年热带夜:莫桑比克为 186.3 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年莫桑比克的数值较高,高出 80 夜,是坦桑尼亚的 1.75 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,莫桑比克的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年莫桑比克为 254.4 夜,坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 莫桑比克 | 坦桑尼亚 |
|---|---|---|
| 2014 | 186.3 | 106.3 |
| 2013 | 186.9 | 105.5 |
| 2012 | 185.2 | 108.4 |
| 2011 | 184.1 | 109 |
| 2010 | 182.2 | 103.9 |
| 2009 | 178.2 | 101.1 |
| 2008 | 176.8 | 100.3 |
| 2007 | 178.9 | 99.5 |
| 2006 | 177.4 | 100.4 |
| 2005 | 176.9 | 98.7 |
| 2004 | 181 | 100.4 |
| 2003 | 180 | 99.6 |
| 2002 | 177.1 | 98.4 |
| 2001 | 180.6 | 101.5 |
| 2000 | 173.6 | 94.9 |
| 1999 | 171.5 | 94.2 |
| 1998 | 174.1 | 96.8 |
| 1997 | 169.9 | 93.5 |
| 1996 | 164.7 | 89.6 |
| 1995 | 165.8 | 88.5 |
| 1994 | 163.1 | 85.4 |
| 1993 | 155.5 | 81.2 |
| 1992 | 156 | 80.1 |
| 1991 | 167.5 | 89.6 |
| 1990 | 170.2 | 91.1 |
| 1989 | 164 | 89.1 |
| 1988 | 166.4 | 87.6 |
| 1987 | 166 | 88.5 |
| 1986 | 166.6 | 89.4 |
| 1985 | 159.3 | 83 |
| 1984 | 161.1 | 83.1 |
| 1983 | 159.7 | 82.1 |
| 1982 | 160.6 | 84.8 |
| 1981 | 164.5 | 88 |
| 1980 | 161.9 | 85 |
| 1979 | 162.2 | 85.5 |
| 1978 | 160.2 | 82.9 |
| 1977 | 160.2 | 84.1 |
| 1976 | 157.4 | 81 |
| 1975 | 157.7 | 80.8 |
| 1974 | 159.1 | 82.2 |
| 1973 | 160.4 | 83.6 |
| 1972 | 157.6 | 81.4 |
| 1971 | 155.6 | 80.7 |
| 1970 | 159.7 | 81.8 |
| 1969 | 157.8 | 79.5 |
| 1968 | 153 | 79.1 |
| 1967 | 152.8 | 77.5 |
| 1966 | 152.5 | 78.1 |
| 1965 | 153.1 | 78 |
| 1964 | 145.9 | 73.8 |
| 1963 | 146.8 | 73.1 |
| 1962 | 158.5 | 81.1 |
| 1961 | 158.8 | 82.6 |
| 1960 | 160.6 | 83.9 |
| 1959 | 159.7 | 81.4 |
| 1958 | 159.5 | 82.1 |
| 1957 | 156.9 | 80.9 |
| 1956 | 153.4 | 80 |
| 1955 | 159.6 | 81.6 |
| 1954 | 155.4 | 81.4 |
| 1953 | 156.8 | 80.6 |
| 1952 | 156.6 | 81.4 |
| 1951 | 157.4 | 82.1 |
| 1950 | 156.3 | 80.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 莫桑比克 | 坦桑尼亚 |
|---|---|---|
| 2015 | 191170.1–212.1 | 114.895.2–137.4 |
| 2016 | 187.6168.6–208.2 | 108.391.6–125.6 |
| 2017 | 190.1169.4–210.1 | 114.893.6–137.8 |
| 2018 | 189.8163.6–212.8 | 116.497.4–137.1 |
| 2019 | 189.7171.9–208.8 | 113.495.2–133.2 |
| 2020 | 191.3169–213.8 | 119.396.2–143.5 |
| 2021 | 193.1172.7–212.9 | 119.5100.9–147.1 |
| 2022 | 199.9176.3–216.7 | 124.4105.3–147.4 |
| 2023 | 196.8176.4–217.3 | 122.1102.1–147.8 |
| 2024 | 199.7173.4–222.8 | 126.2100–150.1 |
| 2025 | 195.7173–219.1 | 124.6100.9–154 |
| 2026 | 197.7172.6–219.3 | 126.999.1–155.6 |
| 2027 | 199.9177.9–221.8 | 128102.9–147.7 |
| 2028 | 202.5181.1–221.1 | 129.9106.4–152.1 |
| 2029 | 207.6187.3–227.3 | 134.1111–156.5 |
| 2030 | 203.6183.2–223.8 | 129.4106.4–151.1 |
| 2031 | 207.3188.7–225 | 136.4115.9–158.4 |
| 2032 | 207.4186.7–230.9 | 135.1114–166.8 |
| 2033 | 206.1180.7–226.1 | 135.2110.9–161.9 |
| 2034 | 206.3181.3–227.7 | 134.7112.5–166.3 |
| 2035 | 208.2184.1–233.6 | 140.2114.6–165 |
| 2036 | 208.3183.8–226.4 | 137.8113.3–165.5 |
| 2037 | 213.7191.8–234.3 | 142.9121.5–168.9 |
| 2038 | 218.4195.7–240.9 | 147.9124.3–169.3 |
| 2039 | 212.6192.3–233.5 | 144.3117.6–171.3 |
| 2040 | 212.7189–233.9 | 140.5117–178 |
| 2041 | 213.1187.1–238 | 149.1121.7–175.6 |
| 2042 | 214.9190.4–241.3 | 146.3120.5–185.3 |
| 2043 | 216196.2–238.9 | 144.6117–173 |
| 2044 | 220.2196.1–242.1 | 147.7121.2–175.8 |
| 2045 | 217.2198.6–237.6 | 150.1125.2–183.4 |
| 2046 | 224.4200.5–247.6 | 161.5128.6–192.2 |
| 2047 | 224.5201.3–246.3 | 160.2129.7–194.4 |
| 2048 | 225.7205–247.5 | 158.8132.7–193.1 |
| 2049 | 226.4199.2–247.8 | 157.6131.1–196 |
| 2050 | 225.5198.1–246.6 | 159.7127.8–192 |
| 2051 | 227.5206.2–248.7 | 163.2135.5–197.8 |
| 2052 | 230.5208.6–255.2 | 161.9136.2–199.1 |
| 2053 | 226.3200.4–250 | 160.6127.5–197.7 |
| 2054 | 227.8203.9–256.1 | 163.2131.5–200.2 |
| 2055 | 231.5208.3–254.4 | 167.4137–208.3 |
| 2056 | 227.8204.6–253.1 | 166.4130.8–209.7 |
| 2057 | 227.6205.7–252.2 | 168134.6–208.3 |
| 2058 | 230.2208.3–251.8 | 168.7134.9–210.3 |
| 2059 | 235.5212.5–261.4 | 174.7144.9–219.5 |
| 2060 | 237.5208.9–257.9 | 181.7138.1–219.8 |
| 2061 | 232.1204.8–256.1 | 171.8135.5–218.1 |
| 2062 | 233.2208.6–257.9 | 177.5139.9–224 |
| 2063 | 233.3207.3–261.6 | 181.4140.1–213.8 |
| 2064 | 234.6209.3–255.8 | 185.3140.1–215.2 |
| 2065 | 236208.7–261 | 183.5141.1–221.8 |
| 2066 | 239.4213.6–261.8 | 181.9146.3–219.3 |
| 2067 | 235.5205.9–259.4 | 178.8138.8–229.2 |
| 2068 | 237.7211–264.3 | 186144.2–228.4 |
| 2069 | 241.1212.2–263.4 | 183.7141.7–225.3 |
| 2070 | 240.7212.1–266 | 180.7140.4–228.2 |
| 2071 | 244.1214.3–272.8 | 184.9146.9–235.2 |
| 2072 | 244.7215.8–267.8 | 191.3155–226.1 |
| 2073 | 246214.2–267.6 | 191.6152.4–235.6 |
| 2074 | 242.2219.9–271.1 | 183.3149.7–231.7 |
| 2075 | 244.4215.6–267.9 | 183.8144.8–233 |
| 2076 | 240.8211–264.8 | 191.1150.9–233.2 |
| 2077 | 241.4214.7–272.4 | 191.3152.6–238.2 |
| 2078 | 245.4220.8–271.1 | 189156.6–233.8 |
| 2079 | 244.1214.3–276.4 | 190.5147–237.3 |
| 2080 | 246.1221–273.6 | 197.3150.7–241.2 |
| 2081 | 245.6214.5–268.1 | 195.6153.4–237.4 |
| 2082 | 246.9220.6–268.3 | 194.5157.3–237.3 |
| 2083 | 247.3217.4–276.4 | 193.2151–249.8 |
| 2084 | 248.5223.3–270.9 | 201.1152.2–246.7 |
| 2085 | 253.4221.5–277.6 | 204.2162.3–252.3 |
| 2086 | 242.9216.4–272.3 | 195156–248.7 |
| 2087 | 247.4222.8–271.3 | 196.7160.8–244.5 |
| 2088 | 253221.1–274.9 | 208.4154.7–246.9 |
| 2089 | 251.6221.9–277.3 | 201.3158.6–248.2 |
| 2090 | 249.9218.6–277.9 | 197.9160.7–253.6 |
| 2091 | 253.2221.4–280.8 | 210161.6–256 |
| 2092 | 252.7221.5–279.5 | 205.8158.3–253.6 |
| 2093 | 256221.7–279.4 | 207.2161.2–251.9 |
| 2094 | 251.8221–280.3 | 207.9161.3–250.6 |
| 2095 | 255.6225.8–278.1 | 214.2166.4–258.5 |
| 2096 | 254.7225.8–280.4 | 205.3159.8–257.4 |
| 2097 | 253.2221.8–281.6 | 206.6158.4–256.8 |
| 2098 | 256.1225.2–279.6 | 209.1161–258.3 |
| 2099 | 254.9223.4–278.7 | 208.5160.1–256 |
| 2100 | 254.4226.1–279.1 | 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
莫桑比克与坦桑尼亚对比
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冲突
军用
- 军费开支莫桑比克:2025 年为 GDP 的 1.87%坦桑尼亚:2025 年为 GDP 的 1.16%
- 军费开支(美元)莫桑比克:2025 年为 US$4.46亿坦桑尼亚:2025 年为 US$9.83亿
- 人均军费开支莫桑比克:2025 年为 US$13坦桑尼亚:2025 年为 US$15
- 军费占政府支出比例莫桑比克:2025 年为 6%(占政府支出)坦桑尼亚:2025 年为 5.8%(占政府支出)
- 武装部队人员莫桑比克:2020 年为 11,000 人坦桑尼亚:2020 年为 28,000 人
- 国家实力莫桑比克:2022 年为 0.13%(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莫桑比克:2020 年为 0.08%(占劳动力)坦桑尼亚:2020 年为 0.1%(占劳动力)
- 武器进口莫桑比克:2025 年为 1400万 TIV坦桑尼亚:2025 年为 400万 TIV