埃及与印度对比
埃及与印度:热带夜
2014 年热带夜:埃及为 145 夜,印度为 215.5 夜(CMIP6 气候模型中位数模拟)。 2014 年印度的数值较高,高出 70.5 夜,是埃及的 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,印度的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年埃及为 183.4 夜,印度为 250.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 埃及 | 印度 |
|---|---|---|
| 2014 | 145 | 215.5 |
| 2013 | 145 | 216 |
| 2012 | 145.1 | 217.4 |
| 2011 | 144.7 | 215.5 |
| 2010 | 143.5 | 215.2 |
| 2009 | 140.2 | 213.7 |
| 2008 | 142.6 | 213.7 |
| 2007 | 140.5 | 213.3 |
| 2006 | 139.6 | 212.5 |
| 2005 | 140 | 212.9 |
| 2004 | 141.3 | 214.9 |
| 2003 | 141 | 212.1 |
| 2002 | 137.7 | 213 |
| 2001 | 139 | 212.2 |
| 2000 | 134.8 | 210.8 |
| 1999 | 135.5 | 211.9 |
| 1998 | 133 | 210.3 |
| 1997 | 134 | 209.5 |
| 1996 | 132.1 | 207 |
| 1995 | 130.2 | 208.8 |
| 1994 | 129.8 | 207.1 |
| 1993 | 123.6 | 206 |
| 1992 | 126.1 | 203.5 |
| 1991 | 129.7 | 208 |
| 1990 | 129.7 | 209.9 |
| 1989 | 126 | 208 |
| 1988 | 124.3 | 207.3 |
| 1987 | 125.8 | 207.2 |
| 1986 | 128.9 | 207.2 |
| 1985 | 125.7 | 205.9 |
| 1984 | 119.4 | 206.7 |
| 1983 | 119.4 | 203.3 |
| 1982 | 120.7 | 205.7 |
| 1981 | 122.6 | 208.4 |
| 1980 | 124.9 | 205.3 |
| 1979 | 119.2 | 205.5 |
| 1978 | 122.6 | 204.1 |
| 1977 | 121.3 | 205.9 |
| 1976 | 123.2 | 204.6 |
| 1975 | 121.9 | 202.6 |
| 1974 | 123.1 | 205.3 |
| 1973 | 123.5 | 205.6 |
| 1972 | 120.1 | 203.8 |
| 1971 | 120.7 | 203.6 |
| 1970 | 119.7 | 202.6 |
| 1969 | 118.3 | 203.6 |
| 1968 | 119.4 | 201.7 |
| 1967 | 116.2 | 201.6 |
| 1966 | 116.1 | 203.9 |
| 1965 | 112.9 | 202.4 |
| 1964 | 116.4 | 201.2 |
| 1963 | 120.2 | 201.8 |
| 1962 | 118.9 | 203.8 |
| 1961 | 118.7 | 206.3 |
| 1960 | 123.6 | 206 |
| 1959 | 123.2 | 206.1 |
| 1958 | 120.7 | 204 |
| 1957 | 122.4 | 206.5 |
| 1956 | 122.7 | 204 |
| 1955 | 119.4 | 203.2 |
| 1954 | 120.8 | 206 |
| 1953 | 121.3 | 204 |
| 1952 | 120.7 | 204.4 |
| 1951 | 121.2 | 204.3 |
| 1950 | 118.8 | 206.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 埃及 | 印度 |
|---|---|---|
| 2015 | 149.6131.4–164.2 | 216.9202.1–228.4 |
| 2016 | 147.7133.5–160.2 | 215202.5–227.6 |
| 2017 | 150.8134.8–163.2 | 216.2202.1–228.5 |
| 2018 | 147.4133.4–165.6 | 218.3204.5–231.4 |
| 2019 | 149.6132.7–164 | 217.4202.3–230.4 |
| 2020 | 150.8136.4–164.7 | 217.6203.1–232 |
| 2021 | 152.1137.8–168.1 | 219.7204.5–233.2 |
| 2022 | 154138.1–170.6 | 220.5205.8–233 |
| 2023 | 154.4139–168.4 | 220.4206.4–233.7 |
| 2024 | 155.8141.7–168.5 | 222.6208.1–236.3 |
| 2025 | 154.5139.6–168.1 | 219.7202.7–236.2 |
| 2026 | 155.1144.5–165.9 | 220.2204.2–236.8 |
| 2027 | 154.2139.5–166.3 | 223.6207.1–239 |
| 2028 | 154.5141.8–168.6 | 222.1205.1–235.7 |
| 2029 | 156.3139.9–169.5 | 225.4210–240.3 |
| 2030 | 156.3143.1–169.1 | 222.7207.3–235.6 |
| 2031 | 155.5141.5–171.2 | 223.8207.1–237.8 |
| 2032 | 158.3144.6–170.4 | 225.9210–240.5 |
| 2033 | 159.9143.8–172.9 | 223.8209.3–235.4 |
| 2034 | 159.8144.9–173.2 | 225.8210–242.7 |
| 2035 | 163.5146.6–175.8 | 224.9210.6–240.9 |
| 2036 | 156.2143.7–170.6 | 224.2210.4–240.3 |
| 2037 | 158.8142.9–173.8 | 228.3213.6–242.6 |
| 2038 | 164.9146.1–177.8 | 228.1212.6–241.4 |
| 2039 | 161.8146.1–180.1 | 227.4211.9–242.8 |
| 2040 | 161.6147.9–176.5 | 227212.2–242 |
| 2041 | 163.7149.4–177.3 | 227.1210.7–240.5 |
| 2042 | 166.5149.7–180.6 | 229.1214.8–244.2 |
| 2043 | 163.6150.3–176.8 | 228.9214.5–244 |
| 2044 | 162.2147–178 | 229.7214.7–244.2 |
| 2045 | 167.2152.5–181 | 231.2216.6–246.1 |
| 2046 | 166149–181.1 | 232.6216.2–248.6 |
| 2047 | 165.9151.8–181.5 | 232.4215.5–250 |
| 2048 | 167.2154.5–180.1 | 235.6218.5–254.3 |
| 2049 | 165.3148.7–177.9 | 235.3218.3–249.9 |
| 2050 | 170152.8–183 | 233.5216.6–253.4 |
| 2051 | 165.6152.7–179.5 | 234.9218.6–249.9 |
| 2052 | 167.3156–180.2 | 234219.4–249.3 |
| 2053 | 170.1153.6–183.8 | 234.9219.5–252.5 |
| 2054 | 169153.3–183 | 237.2219.4–253.1 |
| 2055 | 170.5153.5–183.3 | 237.2220.7–256.6 |
| 2056 | 168.3151.2–181.4 | 238.8221.2–254.9 |
| 2057 | 166.8150.7–185.3 | 235.7218.5–253.8 |
| 2058 | 171.8154.2–188.2 | 238.8222.8–254.1 |
| 2059 | 173.3157.8–188.6 | 241.1224.9–256.2 |
| 2060 | 170.5154.8–189.3 | 240.9225.6–255.6 |
| 2061 | 170.3155.1–184.6 | 237.9220.6–253.7 |
| 2062 | 172.1155.2–185.7 | 239.9221.2–259.7 |
| 2063 | 169.7152.8–182.6 | 239.9222.3–256.1 |
| 2064 | 172.3155.9–187.2 | 240223.8–256.3 |
| 2065 | 173.3159.7–189.9 | 240.9222.9–257.3 |
| 2066 | 170155–187.7 | 241.5224.1–258.6 |
| 2067 | 176.2161.5–190 | 241.6224.8–257.9 |
| 2068 | 174.6157.3–193.1 | 242.3224.6–262.1 |
| 2069 | 175.8158.8–191.7 | 242.8225.4–259.1 |
| 2070 | 173.3158.3–191.7 | 240.1225.3–257.1 |
| 2071 | 176.8158.1–194.7 | 241.8223.7–260.2 |
| 2072 | 177.6160.8–192.1 | 242.6225.4–259.2 |
| 2073 | 176159.2–189.3 | 243.8228–259.3 |
| 2074 | 171.9156.5–194.1 | 241.6226.9–258.4 |
| 2075 | 171.8157–191.9 | 243.5226.4–258.2 |
| 2076 | 177161–194.6 | 243.2224.6–259.9 |
| 2077 | 179.7157–194.1 | 243.7226.6–264.6 |
| 2078 | 178.4161–195 | 246.7230.1–261.5 |
| 2079 | 178.2160.2–193.7 | 244.9226.4–261.3 |
| 2080 | 178.5163–193.3 | 246.7227–263.7 |
| 2081 | 177.2160–192.8 | 247.5230.4–264.8 |
| 2082 | 178.8164.5–193.3 | 244.6227.9–262.3 |
| 2083 | 180.6164.4–195.7 | 247.5227.8–265.1 |
| 2084 | 181.4162.4–197.8 | 247.3228.3–266.8 |
| 2085 | 178.8163–196.7 | 246.5227.5–267.1 |
| 2086 | 181.9166.6–198.8 | 245.6227.7–266.5 |
| 2087 | 178156.4–194.3 | 245.5226.7–266.2 |
| 2088 | 177.8163.5–196 | 247229.4–266.9 |
| 2089 | 180.9163.5–198.9 | 248.1230–266.3 |
| 2090 | 179.9162.4–197.8 | 249228.9–266.4 |
| 2091 | 184.2165.1–198.9 | 248.9230–266.5 |
| 2092 | 180.3162.9–196.3 | 249.8232.3–267.8 |
| 2093 | 181.1166.1–198.2 | 248.1229–266.5 |
| 2094 | 185.4168–198.9 | 249.1230.6–268.4 |
| 2095 | 181.9165.5–197.3 | 251233.2–270 |
| 2096 | 183.1163.5–200.3 | 247.8231.4–269.3 |
| 2097 | 181.5165.4–198.9 | 251.1231.4–268 |
| 2098 | 181.7162.1–198.8 | 252.3230.8–268.3 |
| 2099 | 179.9164.2–197.8 | 248.7230.1–268.3 |
| 2100 | 183.4162.9–198.1 | 250.4232.9–266.7 |
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
埃及与印度对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支埃及:2025 年为 GDP 的 0.61%印度:2025 年为 GDP 的 2.3%
- 军费开支(美元)埃及:2025 年为 US$22.6亿印度:2025 年为 US$933亿
- 人均军费开支埃及:2025 年为 US$21印度:2025 年为 US$63
- 军费占政府支出比例埃及:2025 年为 2.5%(占政府支出)印度:2025 年为 8.2%(占政府支出)
- 武装部队人员埃及:2020 年为 836,000 人印度:2020 年为 307万 人
- 国家实力埃及:2022 年为 1.18%(占全球实力)印度:2022 年为 9.94%(占全球实力)
- 武装部队占劳动力比例埃及:2020 年为 2.76%(占劳动力)印度:2020 年为 0.58%(占劳动力)
- 武器进口埃及:2025 年为 6.97亿 TIV印度:2025 年为 28.6亿 TIV
- 武器出口埃及:2024 年为 200万 TIV印度:2025 年为 8100万 TIV