莫桑比克与乌干达对比
莫桑比克与乌干达:热带夜
2014 年热带夜:莫桑比克为 186.3 夜,乌干达为 124.7 夜(CMIP6 气候模型中位数模拟)。 2014 年莫桑比克的数值较高,高出 61.6 夜,是乌干达的 1.49 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,乌干达为 245.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 莫桑比克 | 乌干达 |
|---|---|---|
| 2014 | 186.3 | 124.7 |
| 2013 | 186.9 | 124 |
| 2012 | 185.2 | 122.2 |
| 2011 | 184.1 | 125.7 |
| 2010 | 182.2 | 122.5 |
| 2009 | 178.2 | 114.8 |
| 2008 | 176.8 | 114.1 |
| 2007 | 178.9 | 111.2 |
| 2006 | 177.4 | 117.4 |
| 2005 | 176.9 | 113.8 |
| 2004 | 181 | 114.6 |
| 2003 | 180 | 114.4 |
| 2002 | 177.1 | 114.4 |
| 2001 | 180.6 | 117.1 |
| 2000 | 173.6 | 109 |
| 1999 | 171.5 | 105.5 |
| 1998 | 174.1 | 105 |
| 1997 | 169.9 | 106.1 |
| 1996 | 164.7 | 102.1 |
| 1995 | 165.8 | 99.9 |
| 1994 | 163.1 | 94.6 |
| 1993 | 155.5 | 90.8 |
| 1992 | 156 | 89.9 |
| 1991 | 167.5 | 102.1 |
| 1990 | 170.2 | 103.8 |
| 1989 | 164 | 99.1 |
| 1988 | 166.4 | 98.6 |
| 1987 | 166 | 98.3 |
| 1986 | 166.6 | 99.2 |
| 1985 | 159.3 | 92.1 |
| 1984 | 161.1 | 94.6 |
| 1983 | 159.7 | 90.4 |
| 1982 | 160.6 | 94.4 |
| 1981 | 164.5 | 98.5 |
| 1980 | 161.9 | 96.3 |
| 1979 | 162.2 | 93.9 |
| 1978 | 160.2 | 91 |
| 1977 | 160.2 | 95.1 |
| 1976 | 157.4 | 92 |
| 1975 | 157.7 | 89.6 |
| 1974 | 159.1 | 91.8 |
| 1973 | 160.4 | 92.8 |
| 1972 | 157.6 | 90 |
| 1971 | 155.6 | 87.1 |
| 1970 | 159.7 | 88.8 |
| 1969 | 157.8 | 88 |
| 1968 | 153 | 87.3 |
| 1967 | 152.8 | 82.3 |
| 1966 | 152.5 | 82.5 |
| 1965 | 153.1 | 82.2 |
| 1964 | 145.9 | 78.2 |
| 1963 | 146.8 | 80.3 |
| 1962 | 158.5 | 88.5 |
| 1961 | 158.8 | 90.7 |
| 1960 | 160.6 | 93.2 |
| 1959 | 159.7 | 91.3 |
| 1958 | 159.5 | 88.7 |
| 1957 | 156.9 | 90.1 |
| 1956 | 153.4 | 88.8 |
| 1955 | 159.6 | 89 |
| 1954 | 155.4 | 89.5 |
| 1953 | 156.8 | 89 |
| 1952 | 156.6 | 89.6 |
| 1951 | 157.4 | 91.1 |
| 1950 | 156.3 | 87.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 莫桑比克 | 乌干达 |
|---|---|---|
| 2015 | 191170.1–212.1 | 131.598.6–164.1 |
| 2016 | 187.6168.6–208.2 | 12398.5–154.1 |
| 2017 | 190.1169.4–210.1 | 133.7108.6–162.7 |
| 2018 | 189.8163.6–212.8 | 134.2102.5–164 |
| 2019 | 189.7171.9–208.8 | 131.3104.8–166.2 |
| 2020 | 191.3169–213.8 | 140.7102.6–171.5 |
| 2021 | 193.1172.7–212.9 | 137.9112.9–175.4 |
| 2022 | 199.9176.3–216.7 | 140116.2–169.9 |
| 2023 | 196.8176.4–217.3 | 140.4114.2–184.8 |
| 2024 | 199.7173.4–222.8 | 151.1113.5–186.7 |
| 2025 | 195.7173–219.1 | 143108.5–176.4 |
| 2026 | 197.7172.6–219.3 | 144.6109.7–179.6 |
| 2027 | 199.9177.9–221.8 | 147.6116–175.4 |
| 2028 | 202.5181.1–221.1 | 151.6120.2–179.6 |
| 2029 | 207.6187.3–227.3 | 155.2127.3–178.6 |
| 2030 | 203.6183.2–223.8 | 150.4117.6–185.1 |
| 2031 | 207.3188.7–225 | 161.6132–187.2 |
| 2032 | 207.4186.7–230.9 | 159.1134.2–190.5 |
| 2033 | 206.1180.7–226.1 | 158.9123.4–200.6 |
| 2034 | 206.3181.3–227.7 | 161.5135.6–202.5 |
| 2035 | 208.2184.1–233.6 | 164.9126.3–193 |
| 2036 | 208.3183.8–226.4 | 158.5127.7–195.4 |
| 2037 | 213.7191.8–234.3 | 168.3138.2–207.3 |
| 2038 | 218.4195.7–240.9 | 173.8139.7–206.2 |
| 2039 | 212.6192.3–233.5 | 171.2130.1–205 |
| 2040 | 212.7189–233.9 | 170.4134.1–207.4 |
| 2041 | 213.1187.1–238 | 176.3144.6–208 |
| 2042 | 214.9190.4–241.3 | 175137.8–214.3 |
| 2043 | 216196.2–238.9 | 173.6132.8–207.6 |
| 2044 | 220.2196.1–242.1 | 176.1136.8–206.9 |
| 2045 | 217.2198.6–237.6 | 178.9138.3–217.7 |
| 2046 | 224.4200.5–247.6 | 191.9136.6–235 |
| 2047 | 224.5201.3–246.3 | 187.7156.6–225.3 |
| 2048 | 225.7205–247.5 | 189.3151.5–227.4 |
| 2049 | 226.4199.2–247.8 | 195.1154.9–233.6 |
| 2050 | 225.5198.1–246.6 | 191150.7–236.4 |
| 2051 | 227.5206.2–248.7 | 191.2154.4–228.2 |
| 2052 | 230.5208.6–255.2 | 192.6157.7–231.7 |
| 2053 | 226.3200.4–250 | 194.5149.7–233.5 |
| 2054 | 227.8203.9–256.1 | 199156.3–236.8 |
| 2055 | 231.5208.3–254.4 | 201.3151.7–240.7 |
| 2056 | 227.8204.6–253.1 | 198.9156.9–240.2 |
| 2057 | 227.6205.7–252.2 | 200165.5–244.7 |
| 2058 | 230.2208.3–251.8 | 208.8156.5–248.3 |
| 2059 | 235.5212.5–261.4 | 212.7171.1–254 |
| 2060 | 237.5208.9–257.9 | 212.6160.3–253.1 |
| 2061 | 232.1204.8–256.1 | 208.9162.4–258.1 |
| 2062 | 233.2208.6–257.9 | 206.4159.1–267.6 |
| 2063 | 233.3207.3–261.6 | 209.3168.5–246.3 |
| 2064 | 234.6209.3–255.8 | 210.6166.2–253.8 |
| 2065 | 236208.7–261 | 214.5167.8–261.1 |
| 2066 | 239.4213.6–261.8 | 211.9171.8–256.1 |
| 2067 | 235.5205.9–259.4 | 208.4168.3–269.8 |
| 2068 | 237.7211–264.3 | 216.4169.7–268.7 |
| 2069 | 241.1212.2–263.4 | 213170.3–268.1 |
| 2070 | 240.7212.1–266 | 216.4176.4–270.9 |
| 2071 | 244.1214.3–272.8 | 215.5174.6–273.5 |
| 2072 | 244.7215.8–267.8 | 227.3184.1–272.3 |
| 2073 | 246214.2–267.6 | 230.4189.3–278.5 |
| 2074 | 242.2219.9–271.1 | 220.7176.9–277 |
| 2075 | 244.4215.6–267.9 | 217.7167–274.2 |
| 2076 | 240.8211–264.8 | 228.1178.9–279 |
| 2077 | 241.4214.7–272.4 | 229.5189.6–280.5 |
| 2078 | 245.4220.8–271.1 | 225.6187.8–276.4 |
| 2079 | 244.1214.3–276.4 | 231.9168.8–277.7 |
| 2080 | 246.1221–273.6 | 232.8182.6–283.1 |
| 2081 | 245.6214.5–268.1 | 227.9187.6–279.3 |
| 2082 | 246.9220.6–268.3 | 233.1185.6–279.4 |
| 2083 | 247.3217.4–276.4 | 232.2175.7–297 |
| 2084 | 248.5223.3–270.9 | 237.2185.5–288.8 |
| 2085 | 253.4221.5–277.6 | 239.5192.4–291.7 |
| 2086 | 242.9216.4–272.3 | 236.2189.8–289.4 |
| 2087 | 247.4222.8–271.3 | 239.4188.9–294 |
| 2088 | 253221.1–274.9 | 236.8193.6–288.9 |
| 2089 | 251.6221.9–277.3 | 238.8193.8–293.7 |
| 2090 | 249.9218.6–277.9 | 237.7190.1–301.5 |
| 2091 | 253.2221.4–280.8 | 251188.7–300.1 |
| 2092 | 252.7221.5–279.5 | 243.4194.9–297.8 |
| 2093 | 256221.7–279.4 | 244.4199.2–296.8 |
| 2094 | 251.8221–280.3 | 245.6202.9–299.8 |
| 2095 | 255.6225.8–278.1 | 253.2202.4–306.1 |
| 2096 | 254.7225.8–280.4 | 241.4196.5–304 |
| 2097 | 253.2221.8–281.6 | 243.1194–296.6 |
| 2098 | 256.1225.2–279.6 | 242.9199–302.3 |
| 2099 | 254.9223.4–278.7 | 247.3194.4–306.1 |
| 2100 | 254.4226.1–279.1 | 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
莫桑比克与乌干达对比
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军用
- 军费开支莫桑比克:2025 年为 GDP 的 1.87%乌干达:2025 年为 GDP 的 1.96%
- 军费开支(美元)莫桑比克:2025 年为 US$4.46亿乌干达:2025 年为 US$12亿
- 人均军费开支莫桑比克:2025 年为 US$13乌干达:2025 年为 US$26
- 军费占政府支出比例莫桑比克:2025 年为 6%(占政府支出)乌干达:2025 年为 9%(占政府支出)
- 武装部队人员莫桑比克:2020 年为 11,000 人乌干达:2020 年为 46,000 人
- 国家实力莫桑比克:2022 年为 0.13%(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莫桑比克:2020 年为 0.08%(占劳动力)乌干达:2020 年为 0.24%(占劳动力)
- 武器进口莫桑比克:2025 年为 1400万 TIV乌干达:2025 年为 200万 TIV
- 武器出口莫桑比克:1977 年为 100万 TIV乌干达:2016 年为 400万 TIV