索马里与坦桑尼亚对比
索马里与坦桑尼亚:热带夜
2014 年热带夜:索马里为 295.2 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年索马里的数值较高,高出 188.9 夜,是坦桑尼亚的 2.78 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,索马里的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年索马里为 328.2 夜,坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 索马里 | 坦桑尼亚 |
|---|---|---|
| 2014 | 295.2 | 106.3 |
| 2013 | 296.8 | 105.5 |
| 2012 | 296.7 | 108.4 |
| 2011 | 297.1 | 109 |
| 2010 | 294.6 | 103.9 |
| 2009 | 293.5 | 101.1 |
| 2008 | 292.2 | 100.3 |
| 2007 | 293.3 | 99.5 |
| 2006 | 292.4 | 100.4 |
| 2005 | 292.3 | 98.7 |
| 2004 | 293.8 | 100.4 |
| 2003 | 293.5 | 99.6 |
| 2002 | 292.1 | 98.4 |
| 2001 | 292.4 | 101.5 |
| 2000 | 290.2 | 94.9 |
| 1999 | 288.6 | 94.2 |
| 1998 | 289.9 | 96.8 |
| 1997 | 288.8 | 93.5 |
| 1996 | 285 | 89.6 |
| 1995 | 285.2 | 88.5 |
| 1994 | 284.2 | 85.4 |
| 1993 | 280.2 | 81.2 |
| 1992 | 278.1 | 80.1 |
| 1991 | 286.6 | 89.6 |
| 1990 | 288.5 | 91.1 |
| 1989 | 285.1 | 89.1 |
| 1988 | 285.6 | 87.6 |
| 1987 | 282.5 | 88.5 |
| 1986 | 283.4 | 89.4 |
| 1985 | 279.6 | 83 |
| 1984 | 281.4 | 83.1 |
| 1983 | 277.1 | 82.1 |
| 1982 | 283.7 | 84.8 |
| 1981 | 282.5 | 88 |
| 1980 | 280 | 85 |
| 1979 | 280.4 | 85.5 |
| 1978 | 280.5 | 82.9 |
| 1977 | 282.9 | 84.1 |
| 1976 | 278.7 | 81 |
| 1975 | 276.8 | 80.8 |
| 1974 | 279.3 | 82.2 |
| 1973 | 280.8 | 83.6 |
| 1972 | 278.3 | 81.4 |
| 1971 | 278.2 | 80.7 |
| 1970 | 278.3 | 81.8 |
| 1969 | 276.8 | 79.5 |
| 1968 | 276.3 | 79.1 |
| 1967 | 274.3 | 77.5 |
| 1966 | 275.9 | 78.1 |
| 1965 | 275.2 | 78 |
| 1964 | 275.1 | 73.8 |
| 1963 | 272.9 | 73.1 |
| 1962 | 277.9 | 81.1 |
| 1961 | 280.3 | 82.6 |
| 1960 | 280.8 | 83.9 |
| 1959 | 278.8 | 81.4 |
| 1958 | 280.9 | 82.1 |
| 1957 | 280.3 | 80.9 |
| 1956 | 276.1 | 80 |
| 1955 | 280.1 | 81.6 |
| 1954 | 278.2 | 81.4 |
| 1953 | 277.2 | 80.6 |
| 1952 | 279.4 | 81.4 |
| 1951 | 279 | 82.1 |
| 1950 | 278.8 | 80.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 索马里 | 坦桑尼亚 |
|---|---|---|
| 2015 | 299.3283.7–311 | 114.895.2–137.4 |
| 2016 | 296.8282.3–308.3 | 108.391.6–125.6 |
| 2017 | 299.6284.6–310.1 | 114.893.6–137.8 |
| 2018 | 301.3287.9–310.2 | 116.497.4–137.1 |
| 2019 | 299.1286.1–311.9 | 113.495.2–133.2 |
| 2020 | 299.4285.3–310.3 | 119.396.2–143.5 |
| 2021 | 302.4289.1–313.6 | 119.5100.9–147.1 |
| 2022 | 304.5289.7–314.6 | 124.4105.3–147.4 |
| 2023 | 304.1290.6–312.4 | 122.1102.1–147.8 |
| 2024 | 303.4290.1–317 | 126.2100–150.1 |
| 2025 | 303.1288.8–317.8 | 124.6100.9–154 |
| 2026 | 303.2288.7–315.4 | 126.999.1–155.6 |
| 2027 | 303.8287.7–314.9 | 128102.9–147.7 |
| 2028 | 305.4291.3–316.8 | 129.9106.4–152.1 |
| 2029 | 307.8294–317.8 | 134.1111–156.5 |
| 2030 | 304.5289.6–314.9 | 129.4106.4–151.1 |
| 2031 | 307.4292.3–317.9 | 136.4115.9–158.4 |
| 2032 | 308.3292.4–319.6 | 135.1114–166.8 |
| 2033 | 307.2292–317.6 | 135.2110.9–161.9 |
| 2034 | 305.9292.3–321.2 | 134.7112.5–166.3 |
| 2035 | 308.7293.4–321.1 | 140.2114.6–165 |
| 2036 | 307.5295.4–317.7 | 137.8113.3–165.5 |
| 2037 | 310.1298.4–319.9 | 142.9121.5–168.9 |
| 2038 | 311.1296.4–323.2 | 147.9124.3–169.3 |
| 2039 | 308.6295.9–321.9 | 144.3117.6–171.3 |
| 2040 | 311.7295.9–324.2 | 140.5117–178 |
| 2041 | 312296.6–321.5 | 149.1121.7–175.6 |
| 2042 | 311.7295–325.7 | 146.3120.5–185.3 |
| 2043 | 312298–323.1 | 144.6117–173 |
| 2044 | 311.4297.3–323 | 147.7121.2–175.8 |
| 2045 | 312.3298.6–323 | 150.1125.2–183.4 |
| 2046 | 314.4299–327.7 | 161.5128.6–192.2 |
| 2047 | 315.8300.2–327.9 | 160.2129.7–194.4 |
| 2048 | 316.9302.8–327.5 | 158.8132.7–193.1 |
| 2049 | 314.9303.2–325.2 | 157.6131.1–196 |
| 2050 | 315.9300.6–324.5 | 159.7127.8–192 |
| 2051 | 314.9301.9–326.9 | 163.2135.5–197.8 |
| 2052 | 316.2301.6–329 | 161.9136.2–199.1 |
| 2053 | 314.8302.3–326.8 | 160.6127.5–197.7 |
| 2054 | 316.2301.5–330.1 | 163.2131.5–200.2 |
| 2055 | 317.4302.7–327.8 | 167.4137–208.3 |
| 2056 | 316.5302.9–332.3 | 166.4130.8–209.7 |
| 2057 | 316.8302.5–329.8 | 168134.6–208.3 |
| 2058 | 316.9300.7–330.9 | 168.7134.9–210.3 |
| 2059 | 320.8305.2–332.5 | 174.7144.9–219.5 |
| 2060 | 321.3305.7–331.9 | 181.7138.1–219.8 |
| 2061 | 317.8304.8–330.3 | 171.8135.5–218.1 |
| 2062 | 319.6304.3–336 | 177.5139.9–224 |
| 2063 | 320.9305.3–332 | 181.4140.1–213.8 |
| 2064 | 319.7306.8–330.5 | 185.3140.1–215.2 |
| 2065 | 318.3304.6–334.6 | 183.5141.1–221.8 |
| 2066 | 321307.9–333.9 | 181.9146.3–219.3 |
| 2067 | 320.5304.3–334.4 | 178.8138.8–229.2 |
| 2068 | 321.7305.6–336.3 | 186144.2–228.4 |
| 2069 | 322.3308.6–335.4 | 183.7141.7–225.3 |
| 2070 | 321.1305.3–335.6 | 180.7140.4–228.2 |
| 2071 | 324.5308.4–336.9 | 184.9146.9–235.2 |
| 2072 | 324.1308.2–334.1 | 191.3155–226.1 |
| 2073 | 323.7308.1–337.9 | 191.6152.4–235.6 |
| 2074 | 322306–334.6 | 183.3149.7–231.7 |
| 2075 | 323.6307.6–336.4 | 183.8144.8–233 |
| 2076 | 323.6309–333.3 | 191.1150.9–233.2 |
| 2077 | 324.2309.6–335.9 | 191.3152.6–238.2 |
| 2078 | 324.7310.1–333.7 | 189156.6–233.8 |
| 2079 | 323.2307.6–336.3 | 190.5147–237.3 |
| 2080 | 324.7310.6–337.8 | 197.3150.7–241.2 |
| 2081 | 323.2311.1–335.3 | 195.6153.4–237.4 |
| 2082 | 324.3309.4–336.4 | 194.5157.3–237.3 |
| 2083 | 323.6308.3–342.4 | 193.2151–249.8 |
| 2084 | 326.2309.4–337.5 | 201.1152.2–246.7 |
| 2085 | 327.7311.9–339.4 | 204.2162.3–252.3 |
| 2086 | 326.6311.1–340.2 | 195156–248.7 |
| 2087 | 327.3311.5–339.1 | 196.7160.8–244.5 |
| 2088 | 328.6308.2–341.6 | 208.4154.7–246.9 |
| 2089 | 326.7312–340.2 | 201.3158.6–248.2 |
| 2090 | 326.5311.7–339.5 | 197.9160.7–253.6 |
| 2091 | 328.6311.5–340.9 | 210161.6–256 |
| 2092 | 329.1312.2–341.8 | 205.8158.3–253.6 |
| 2093 | 327.3312.1–342.8 | 207.2161.2–251.9 |
| 2094 | 325.6312–336.2 | 207.9161.3–250.6 |
| 2095 | 329314–341.2 | 214.2166.4–258.5 |
| 2096 | 327.9311.6–341.9 | 205.3159.8–257.4 |
| 2097 | 325.6311–340 | 206.6158.4–256.8 |
| 2098 | 327.7311.4–341.1 | 209.1161–258.3 |
| 2099 | 327.3311.9–339.3 | 208.5160.1–256 |
| 2100 | 328.2313.4–341.2 | 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
索马里与坦桑尼亚对比
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人口与社会
经济
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冲突
军用
- 军费开支索马里:2025 年为 GDP 的 1.54%坦桑尼亚:2025 年为 GDP 的 1.16%
- 军费开支(美元)索马里:2025 年为 US$1.93亿坦桑尼亚:2025 年为 US$9.83亿
- 人均军费开支索马里:2025 年为 US$10坦桑尼亚:2025 年为 US$15
- 军费占政府支出比例索马里:2025 年为 20.8%(占政府支出)坦桑尼亚:2025 年为 5.8%(占政府支出)
- 武装部队人员索马里:2020 年为 14,000 人坦桑尼亚:2020 年为 28,000 人
- 国家实力索马里: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索马里:2020 年为 0.47%(占劳动力)坦桑尼亚:2020 年为 0.1%(占劳动力)
- 武器进口索马里:2025 年为 200万 TIV坦桑尼亚:2025 年为 400万 TIV