埃塞俄比亚与索马里对比
埃塞俄比亚与索马里:热带夜
2014 年热带夜:埃塞俄比亚为 144.9 夜,索马里为 295.2 夜(CMIP6 气候模型中位数模拟)。 2014 年索马里的数值较高,高出 150.3 夜,是埃塞俄比亚的 2.04 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 年埃塞俄比亚为 201.7 夜,索马里为 328.2 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 埃塞俄比亚 | 索马里 |
|---|---|---|
| 2014 | 144.9 | 295.2 |
| 2013 | 145.1 | 296.8 |
| 2012 | 144.4 | 296.7 |
| 2011 | 145.6 | 297.1 |
| 2010 | 142.4 | 294.6 |
| 2009 | 140.3 | 293.5 |
| 2008 | 137.1 | 292.2 |
| 2007 | 138.2 | 293.3 |
| 2006 | 138.7 | 292.4 |
| 2005 | 138.1 | 292.3 |
| 2004 | 139.1 | 293.8 |
| 2003 | 138.8 | 293.5 |
| 2002 | 137.4 | 292.1 |
| 2001 | 139.2 | 292.4 |
| 2000 | 135.5 | 290.2 |
| 1999 | 132.6 | 288.6 |
| 1998 | 132.9 | 289.9 |
| 1997 | 132.7 | 288.8 |
| 1996 | 129.7 | 285 |
| 1995 | 127.8 | 285.2 |
| 1994 | 126.3 | 284.2 |
| 1993 | 122.5 | 280.2 |
| 1992 | 119.7 | 278.1 |
| 1991 | 129.5 | 286.6 |
| 1990 | 132.7 | 288.5 |
| 1989 | 129.4 | 285.1 |
| 1988 | 128.2 | 285.6 |
| 1987 | 126.4 | 282.5 |
| 1986 | 128.1 | 283.4 |
| 1985 | 122.8 | 279.6 |
| 1984 | 124.8 | 281.4 |
| 1983 | 120.6 | 277.1 |
| 1982 | 126.3 | 283.7 |
| 1981 | 127 | 282.5 |
| 1980 | 124.9 | 280 |
| 1979 | 125.1 | 280.4 |
| 1978 | 124.7 | 280.5 |
| 1977 | 125.8 | 282.9 |
| 1976 | 122 | 278.7 |
| 1975 | 119.5 | 276.8 |
| 1974 | 124 | 279.3 |
| 1973 | 125.2 | 280.8 |
| 1972 | 122.3 | 278.3 |
| 1971 | 120.6 | 278.2 |
| 1970 | 121.3 | 278.3 |
| 1969 | 120.4 | 276.8 |
| 1968 | 119.1 | 276.3 |
| 1967 | 118.1 | 274.3 |
| 1966 | 119.5 | 275.9 |
| 1965 | 117.4 | 275.2 |
| 1964 | 116.6 | 275.1 |
| 1963 | 115.7 | 272.9 |
| 1962 | 121.6 | 277.9 |
| 1961 | 124.2 | 280.3 |
| 1960 | 124.5 | 280.8 |
| 1959 | 121.6 | 278.8 |
| 1958 | 124.1 | 280.9 |
| 1957 | 123.2 | 280.3 |
| 1956 | 120.9 | 276.1 |
| 1955 | 122.8 | 280.1 |
| 1954 | 121.6 | 278.2 |
| 1953 | 121.2 | 277.2 |
| 1952 | 122.8 | 279.4 |
| 1951 | 123 | 279 |
| 1950 | 122 | 278.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 埃塞俄比亚 | 索马里 |
|---|---|---|
| 2015 | 146.6129.4–163.9 | 299.3283.7–311 |
| 2016 | 144.1127–160.6 | 296.8282.3–308.3 |
| 2017 | 148.3129.2–164.9 | 299.6284.6–310.1 |
| 2018 | 149.6131.6–166 | 301.3287.9–310.2 |
| 2019 | 146.2129.3–166 | 299.1286.1–311.9 |
| 2020 | 149.4129.6–168.5 | 299.4285.3–310.3 |
| 2021 | 150.7132.1–170 | 302.4289.1–313.6 |
| 2022 | 154135.7–171.2 | 304.5289.7–314.6 |
| 2023 | 153.5135.4–171.4 | 304.1290.6–312.4 |
| 2024 | 156.5135.9–175.6 | 303.4290.1–317 |
| 2025 | 154132.6–175.5 | 303.1288.8–317.8 |
| 2026 | 153132–175 | 303.2288.7–315.4 |
| 2027 | 154.2134.4–175.3 | 303.8287.7–314.9 |
| 2028 | 157.5138.3–177.4 | 305.4291.3–316.8 |
| 2029 | 159.2141.8–176.8 | 307.8294–317.8 |
| 2030 | 156.8136.3–175.7 | 304.5289.6–314.9 |
| 2031 | 161.4142.4–179.1 | 307.4292.3–317.9 |
| 2032 | 161.7143.1–182.5 | 308.3292.4–319.6 |
| 2033 | 161.8140–180.9 | 307.2292–317.6 |
| 2034 | 158.8141.5–184.3 | 305.9292.3–321.2 |
| 2035 | 162141.7–184.2 | 308.7293.4–321.1 |
| 2036 | 160.5143.6–179.4 | 307.5295.4–317.7 |
| 2037 | 165145.8–184.5 | 310.1298.4–319.9 |
| 2038 | 167.1146.5–186.7 | 311.1296.4–323.2 |
| 2039 | 164.5143.9–186 | 308.6295.9–321.9 |
| 2040 | 165.9146.2–190.1 | 311.7295.9–324.2 |
| 2041 | 167.9146.3–189.3 | 312296.6–321.5 |
| 2042 | 167.7146–194.3 | 311.7295–325.7 |
| 2043 | 167.3145.5–190.8 | 312298–323.1 |
| 2044 | 168.2148.2–189.9 | 311.4297.3–323 |
| 2045 | 170.7149.1–192.3 | 312.3298.6–323 |
| 2046 | 175.3150–198.6 | 314.4299–327.7 |
| 2047 | 176.9151.8–197.5 | 315.8300.2–327.9 |
| 2048 | 177.5155.4–199.1 | 316.9302.8–327.5 |
| 2049 | 177.5157.9–198.4 | 314.9303.2–325.2 |
| 2050 | 176.4153.8–199 | 315.9300.6–324.5 |
| 2051 | 176.6155.3–199.7 | 314.9301.9–326.9 |
| 2052 | 177155.6–200.7 | 316.2301.6–329 |
| 2053 | 176.7154.2–201.6 | 314.8302.3–326.8 |
| 2054 | 177.6156.9–201.1 | 316.2301.5–330.1 |
| 2055 | 180.6155.2–202.3 | 317.4302.7–327.8 |
| 2056 | 177.3155–205.4 | 316.5302.9–332.3 |
| 2057 | 180.3159.3–205.5 | 316.8302.5–329.8 |
| 2058 | 182.6153.7–209.4 | 316.9300.7–330.9 |
| 2059 | 185.7160.1–210.6 | 320.8305.2–332.5 |
| 2060 | 185.9160.3–210.4 | 321.3305.7–331.9 |
| 2061 | 183.3158.3–211.7 | 317.8304.8–330.3 |
| 2062 | 183.8155.4–213 | 319.6304.3–336 |
| 2063 | 184.5159.1–208.6 | 320.9305.3–332 |
| 2064 | 186.7160.6–207.2 | 319.7306.8–330.5 |
| 2065 | 183.7162.4–212.9 | 318.3304.6–334.6 |
| 2066 | 187.1165.4–210.1 | 321307.9–333.9 |
| 2067 | 187.1160.7–214.5 | 320.5304.3–334.4 |
| 2068 | 187.6160.4–215.8 | 321.7305.6–336.3 |
| 2069 | 187.8165.4–215.8 | 322.3308.6–335.4 |
| 2070 | 187.9161.6–216.9 | 321.1305.3–335.6 |
| 2071 | 192.7165.2–219.5 | 324.5308.4–336.9 |
| 2072 | 193.6167.4–214.5 | 324.1308.2–334.1 |
| 2073 | 193.3169.7–218.7 | 323.7308.1–337.9 |
| 2074 | 188.5163.9–219 | 322306–334.6 |
| 2075 | 191.9162.7–218.6 | 323.6307.6–336.4 |
| 2076 | 195166.9–218.9 | 323.6309–333.3 |
| 2077 | 194.1169.3–223.3 | 324.2309.6–335.9 |
| 2078 | 192.1168.4–218.6 | 324.7310.1–333.7 |
| 2079 | 193.4166.6–220.9 | 323.2307.6–336.3 |
| 2080 | 196.1169.2–222.4 | 324.7310.6–337.8 |
| 2081 | 194.6171–221.4 | 323.2311.1–335.3 |
| 2082 | 195.4168.8–219.9 | 324.3309.4–336.4 |
| 2083 | 194.6168.2–228.7 | 323.6308.3–342.4 |
| 2084 | 198.5170.7–224.2 | 326.2309.4–337.5 |
| 2085 | 198.4173.1–226.3 | 327.7311.9–339.4 |
| 2086 | 198.6172.3–228.4 | 326.6311.1–340.2 |
| 2087 | 199170.6–226.6 | 327.3311.5–339.1 |
| 2088 | 199170.7–227.7 | 328.6308.2–341.6 |
| 2089 | 198.6171.2–226.2 | 326.7312–340.2 |
| 2090 | 198.6173.4–227.7 | 326.5311.7–339.5 |
| 2091 | 203.6171.9–232.1 | 328.6311.5–340.9 |
| 2092 | 200.7172.5–229.7 | 329.1312.2–341.8 |
| 2093 | 201.4175.2–228.6 | 327.3312.1–342.8 |
| 2094 | 200.2174–228.9 | 325.6312–336.2 |
| 2095 | 203.9175.7–231.9 | 329314–341.2 |
| 2096 | 199.1170.5–230.8 | 327.9311.6–341.9 |
| 2097 | 198.4171.8–229.3 | 325.6311–340 |
| 2098 | 198.7172.1–231.5 | 327.7311.4–341.1 |
| 2099 | 201.8172.8–233.3 | 327.3311.9–339.3 |
| 2100 | 201.7175.1–231.8 | 328.2313.4–341.2 |
分别查看各国
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
埃塞俄比亚与索马里对比
健康
人口与社会
- 人口埃塞俄比亚:2023 年为 1.29亿 人索马里:2023 年为 1840万 人
- 人口增长埃塞俄比亚:2023 年为 2.59%/年索马里:2023 年为 3.57%/年
- 生育率埃塞俄比亚:2023 年为 3.99(每名妇女)索马里:2023 年为 6.13(每名妇女)
- 城市人口埃塞俄比亚:2025 年为 24.1%索马里:2025 年为 55.1%
- 年龄中位数埃塞俄比亚:2023 年为 18.7 年索马里:2023 年为 15.5 年
- 65 岁及以上人口埃塞俄比亚:2023 年为 3.2%索马里:2023 年为 2.6%
- 净移民率埃塞俄比亚:2023 年为 -0.1‰索马里:2023 年为 2.5‰
经济
教育
政治
冲突
军用
- 军费开支埃塞俄比亚:2025 年为 GDP 的 0.49%索马里:2025 年为 GDP 的 1.54%
- 军费开支(美元)埃塞俄比亚:2025 年为 US$7.85亿索马里:2025 年为 US$1.93亿
- 人均军费开支埃塞俄比亚:2025 年为 US$4索马里:2025 年为 US$10
- 军费占政府支出比例埃塞俄比亚:2025 年为 4.1%(占政府支出)索马里:2025 年为 20.8%(占政府支出)
- 武装部队人员埃塞俄比亚:2020 年为 138,000 人索马里:2020 年为 14,000 人
- 国家实力埃塞俄比亚:2022 年为 0.85%(占全球实力)索马里:2022 年为 0.13%(占全球实力)
- 武装部队占劳动力比例埃塞俄比亚:2020 年为 0.28%(占劳动力)索马里:2020 年为 0.47%(占劳动力)
- 武器进口埃塞俄比亚:2025 年为 6300万 TIV索马里:2025 年为 200万 TIV