埃塞俄比亚与菲律宾对比
埃塞俄比亚与菲律宾:热带夜
2014 年热带夜:埃塞俄比亚为 144.9 夜,菲律宾为 331.5 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 186.6 夜,是埃塞俄比亚的 2.29 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,菲律宾的数值都更高。
- 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,菲律宾为 351.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 埃塞俄比亚 | 菲律宾 |
|---|---|---|
| 2014 | 144.9 | 331.5 |
| 2013 | 145.1 | 330.9 |
| 2012 | 144.4 | 331.1 |
| 2011 | 145.6 | 329.8 |
| 2010 | 142.4 | 330.6 |
| 2009 | 140.3 | 329 |
| 2008 | 137.1 | 327.5 |
| 2007 | 138.2 | 327.8 |
| 2006 | 138.7 | 328.7 |
| 2005 | 138.1 | 329.7 |
| 2004 | 139.1 | 329.4 |
| 2003 | 138.8 | 327.1 |
| 2002 | 137.4 | 328.9 |
| 2001 | 139.2 | 327.8 |
| 2000 | 135.5 | 326.8 |
| 1999 | 132.6 | 327.5 |
| 1998 | 132.9 | 326.5 |
| 1997 | 132.7 | 325.4 |
| 1996 | 129.7 | 324.6 |
| 1995 | 127.8 | 324.2 |
| 1994 | 126.3 | 321.5 |
| 1993 | 122.5 | 319.5 |
| 1992 | 119.7 | 318.4 |
| 1991 | 129.5 | 324.1 |
| 1990 | 132.7 | 323.5 |
| 1989 | 129.4 | 322.5 |
| 1988 | 128.2 | 324 |
| 1987 | 126.4 | 323.1 |
| 1986 | 128.1 | 322.1 |
| 1985 | 122.8 | 321.4 |
| 1984 | 124.8 | 321.7 |
| 1983 | 120.6 | 319.4 |
| 1982 | 126.3 | 320.5 |
| 1981 | 127 | 320.4 |
| 1980 | 124.9 | 322.7 |
| 1979 | 125.1 | 321.2 |
| 1978 | 124.7 | 320.6 |
| 1977 | 125.8 | 319.8 |
| 1976 | 122 | 319.6 |
| 1975 | 119.5 | 319.6 |
| 1974 | 124 | 320 |
| 1973 | 125.2 | 319.4 |
| 1972 | 122.3 | 318.9 |
| 1971 | 120.6 | 318.8 |
| 1970 | 121.3 | 319 |
| 1969 | 120.4 | 318.7 |
| 1968 | 119.1 | 317.2 |
| 1967 | 118.1 | 317.4 |
| 1966 | 119.5 | 318.8 |
| 1965 | 117.4 | 317.2 |
| 1964 | 116.6 | 314.9 |
| 1963 | 115.7 | 317.2 |
| 1962 | 121.6 | 318.6 |
| 1961 | 124.2 | 319.3 |
| 1960 | 124.5 | 318.6 |
| 1959 | 121.6 | 320.5 |
| 1958 | 124.1 | 321.8 |
| 1957 | 123.2 | 319.4 |
| 1956 | 120.9 | 320 |
| 1955 | 122.8 | 319.3 |
| 1954 | 121.6 | 317.7 |
| 1953 | 121.2 | 320 |
| 1952 | 122.8 | 319 |
| 1951 | 123 | 319.8 |
| 1950 | 122 | 320.4 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 埃塞俄比亚 | 菲律宾 |
|---|---|---|
| 2015 | 146.6129.4–163.9 | 333319.8–339.5 |
| 2016 | 144.1127–160.6 | 334.2322.8–340.7 |
| 2017 | 148.3129.2–164.9 | 333.4319.7–339.8 |
| 2018 | 149.6131.6–166 | 333.2320.1–340.1 |
| 2019 | 146.2129.3–166 | 334.1323.4–341.2 |
| 2020 | 149.4129.6–168.5 | 334.6322.6–341.8 |
| 2021 | 150.7132.1–170 | 335.6323.3–341.1 |
| 2022 | 154135.7–171.2 | 335.7323.3–342.1 |
| 2023 | 153.5135.4–171.4 | 336.7324.8–343.2 |
| 2024 | 156.5135.9–175.6 | 337.2325.7–343.9 |
| 2025 | 154132.6–175.5 | 336.3326.2–342.8 |
| 2026 | 153132–175 | 336.5322.9–343 |
| 2027 | 154.2134.4–175.3 | 336.2325.7–342.3 |
| 2028 | 157.5138.3–177.4 | 337.1325.5–343.8 |
| 2029 | 159.2141.8–176.8 | 338.1327.2–344.6 |
| 2030 | 156.8136.3–175.7 | 337.7326.2–344.4 |
| 2031 | 161.4142.4–179.1 | 337.1325.6–343.8 |
| 2032 | 161.7143.1–182.5 | 339.4329.5–346.1 |
| 2033 | 161.8140–180.9 | 339.7329.6–345.5 |
| 2034 | 158.8141.5–184.3 | 338.8328.8–345 |
| 2035 | 162141.7–184.2 | 338.6327.5–346.4 |
| 2036 | 160.5143.6–179.4 | 339.6327.8–346.9 |
| 2037 | 165145.8–184.5 | 339.8329.1–345.5 |
| 2038 | 167.1146.5–186.7 | 341.9330.7–347.7 |
| 2039 | 164.5143.9–186 | 341.2330.4–346.9 |
| 2040 | 165.9146.2–190.1 | 340.4328.1–347.6 |
| 2041 | 167.9146.3–189.3 | 341.1329.1–346.7 |
| 2042 | 167.7146–194.3 | 342331.4–347.7 |
| 2043 | 167.3145.5–190.8 | 341.3329–348.1 |
| 2044 | 168.2148.2–189.9 | 342.8329.9–349.8 |
| 2045 | 170.7149.1–192.3 | 343.4333.8–348.7 |
| 2046 | 175.3150–198.6 | 342.7330.2–348.7 |
| 2047 | 176.9151.8–197.5 | 343.2331.7–350.6 |
| 2048 | 177.5155.4–199.1 | 343.3332.7–350.6 |
| 2049 | 177.5157.9–198.4 | 343.2332.5–349.5 |
| 2050 | 176.4153.8–199 | 344.3332.6–349.9 |
| 2051 | 176.6155.3–199.7 | 344.4334.9–350.8 |
| 2052 | 177155.6–200.7 | 344.1333.5–350.9 |
| 2053 | 176.7154.2–201.6 | 344.3333.6–350.3 |
| 2054 | 177.6156.9–201.1 | 343.4332–349.9 |
| 2055 | 180.6155.2–202.3 | 344.3334.4–350.5 |
| 2056 | 177.3155–205.4 | 345334.6–352.6 |
| 2057 | 180.3159.3–205.5 | 345.5335.1–351.5 |
| 2058 | 182.6153.7–209.4 | 345.8334.3–351.3 |
| 2059 | 185.7160.1–210.6 | 345.5333.7–351.6 |
| 2060 | 185.9160.3–210.4 | 346.8335.5–353.5 |
| 2061 | 183.3158.3–211.7 | 345.9335–351.8 |
| 2062 | 183.8155.4–213 | 346335.2–353.5 |
| 2063 | 184.5159.1–208.6 | 346.6336.2–352.8 |
| 2064 | 186.7160.6–207.2 | 346.9335.3–353 |
| 2065 | 183.7162.4–212.9 | 346.1335.9–351.9 |
| 2066 | 187.1165.4–210.1 | 346.5335.4–352.4 |
| 2067 | 187.1160.7–214.5 | 346.1335.4–352 |
| 2068 | 187.6160.4–215.8 | 347.1335.1–354.1 |
| 2069 | 187.8165.4–215.8 | 347333.8–353.6 |
| 2070 | 187.9161.6–216.9 | 346.7336.1–352.7 |
| 2071 | 192.7165.2–219.5 | 347.6336.2–353.9 |
| 2072 | 193.6167.4–214.5 | 347334.4–353.8 |
| 2073 | 193.3169.7–218.7 | 348.4336.7–355 |
| 2074 | 188.5163.9–219 | 348.6337–354.9 |
| 2075 | 191.9162.7–218.6 | 347.9337.2–354 |
| 2076 | 195166.9–218.9 | 348.4337–355.1 |
| 2077 | 194.1169.3–223.3 | 348.7337–354.8 |
| 2078 | 192.1168.4–218.6 | 348.4338.2–354.7 |
| 2079 | 193.4166.6–220.9 | 348.8337.6–354.7 |
| 2080 | 196.1169.2–222.4 | 349.1338.4–355.9 |
| 2081 | 194.6171–221.4 | 348.8336.9–355.1 |
| 2082 | 195.4168.8–219.9 | 349.6338–354.9 |
| 2083 | 194.6168.2–228.7 | 349.9337.9–356.1 |
| 2084 | 198.5170.7–224.2 | 349.5336.7–356.4 |
| 2085 | 198.4173.1–226.3 | 349.1338.2–355.4 |
| 2086 | 198.6172.3–228.4 | 349.4337.5–354.9 |
| 2087 | 199170.6–226.6 | 349.7338.7–356 |
| 2088 | 199170.7–227.7 | 349.9338.9–356.1 |
| 2089 | 198.6171.2–226.2 | 350.2339.8–355.2 |
| 2090 | 198.6173.4–227.7 | 350.1339.7–355.9 |
| 2091 | 203.6171.9–232.1 | 349.5339.5–356.3 |
| 2092 | 200.7172.5–229.7 | 350.5339.3–356.1 |
| 2093 | 201.4175.2–228.6 | 350.4337.9–356.5 |
| 2094 | 200.2174–228.9 | 350.5338.4–355.9 |
| 2095 | 203.9175.7–231.9 | 350.5338.3–355.7 |
| 2096 | 199.1170.5–230.8 | 351.1339–358 |
| 2097 | 198.4171.8–229.3 | 350.2339.3–355.6 |
| 2098 | 198.7172.1–231.5 | 350.3337.4–355.2 |
| 2099 | 201.8172.8–233.3 | 350.6339.3–356.4 |
| 2100 | 201.7175.1–231.8 | 351.3340.2–356.3 |
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
埃塞俄比亚与菲律宾对比
健康
人口与社会
- 人口埃塞俄比亚:2023 年为 1.29亿 人菲律宾:2023 年为 1.15亿 人
- 人口增长埃塞俄比亚:2023 年为 2.59%/年菲律宾:2023 年为 0.84%/年
- 生育率埃塞俄比亚:2023 年为 3.99(每名妇女)菲律宾:2023 年为 1.92(每名妇女)
- 城市人口埃塞俄比亚:2025 年为 24.1%菲律宾:2025 年为 55.8%
- 年龄中位数埃塞俄比亚:2023 年为 18.7 年菲律宾:2023 年为 25.3 年
- 65 岁及以上人口埃塞俄比亚:2023 年为 3.2%菲律宾:2023 年为 5.3%
- 净移民率埃塞俄比亚:2023 年为 -0.1‰菲律宾:2023 年为 -1.4‰
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%菲律宾:2025 年为 GDP 的 1.3%
- 军费开支(美元)埃塞俄比亚:2025 年为 US$7.85亿菲律宾:2025 年为 US$63亿
- 人均军费开支埃塞俄比亚:2025 年为 US$4菲律宾:2025 年为 US$55
- 军费占政府支出比例埃塞俄比亚:2025 年为 4.1%(占政府支出)菲律宾:2025 年为 5.4%(占政府支出)
- 武装部队人员埃塞俄比亚:2020 年为 138,000 人菲律宾:2020 年为 157,000 人
- 国家实力埃塞俄比亚:2022 年为 0.85%(占全球实力)菲律宾:2022 年为 0.68%(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)菲律宾:2020 年为 0.37%(占劳动力)
- 武器进口埃塞俄比亚:2025 年为 6300万 TIV菲律宾:2025 年为 8.46亿 TIV
- 武器出口埃塞俄比亚:1997 年为 1700万 TIV菲律宾:2007 年为 400万 TIV