巴基斯坦与也门对比
巴基斯坦与也门:热带夜
2014 年热带夜:巴基斯坦为 149.9 夜,也门为 175.8 夜(CMIP6 气候模型中位数模拟)。 2014 年也门的数值较高,高出 25.9 夜,是巴基斯坦的 1.17 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,也门的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年巴基斯坦为 177.6 夜,也门为 225.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 巴基斯坦 | 也门 |
|---|---|---|
| 2014 | 149.9 | 175.8 |
| 2013 | 149.1 | 176.9 |
| 2012 | 149.9 | 178.4 |
| 2011 | 149 | 178.3 |
| 2010 | 148.4 | 174.9 |
| 2009 | 147.1 | 173.4 |
| 2008 | 147.4 | 174 |
| 2007 | 147.3 | 173.9 |
| 2006 | 146.7 | 173.6 |
| 2005 | 146.5 | 172.4 |
| 2004 | 147.5 | 174.3 |
| 2003 | 146 | 173.5 |
| 2002 | 148.3 | 171.8 |
| 2001 | 145.4 | 172.7 |
| 2000 | 144.7 | 167.9 |
| 1999 | 146.9 | 168.6 |
| 1998 | 144.8 | 168.7 |
| 1997 | 143.2 | 168.8 |
| 1996 | 141.2 | 166 |
| 1995 | 141.8 | 164.3 |
| 1994 | 142.1 | 161.6 |
| 1993 | 140.4 | 161.2 |
| 1992 | 139.9 | 157.2 |
| 1991 | 142.5 | 166.5 |
| 1990 | 142.6 | 168.3 |
| 1989 | 142.5 | 164.3 |
| 1988 | 140.3 | 163.7 |
| 1987 | 140 | 160.7 |
| 1986 | 140 | 162.3 |
| 1985 | 140 | 158.2 |
| 1984 | 138.9 | 159.8 |
| 1983 | 136.3 | 155.4 |
| 1982 | 138.5 | 161.5 |
| 1981 | 141.5 | 161.7 |
| 1980 | 139.5 | 158.5 |
| 1979 | 139.1 | 160.1 |
| 1978 | 139 | 158.9 |
| 1977 | 138.6 | 161.2 |
| 1976 | 139.2 | 157.5 |
| 1975 | 136.5 | 156.9 |
| 1974 | 138.7 | 157.8 |
| 1973 | 137.8 | 158.1 |
| 1972 | 137.4 | 157.5 |
| 1971 | 136 | 156.7 |
| 1970 | 137.7 | 156.9 |
| 1969 | 135.9 | 157.5 |
| 1968 | 136.6 | 154.5 |
| 1967 | 135.2 | 152.1 |
| 1966 | 136.9 | 155.1 |
| 1965 | 138.3 | 153.5 |
| 1964 | 135.1 | 154 |
| 1963 | 135.7 | 154.7 |
| 1962 | 137 | 155.9 |
| 1961 | 138.6 | 158.7 |
| 1960 | 139 | 160.1 |
| 1959 | 138.6 | 156.1 |
| 1958 | 137.7 | 158.5 |
| 1957 | 140 | 158.1 |
| 1956 | 137.8 | 156.2 |
| 1955 | 137.5 | 157.4 |
| 1954 | 137.8 | 156.1 |
| 1953 | 136.9 | 155.1 |
| 1952 | 138.1 | 157 |
| 1951 | 136.7 | 155.4 |
| 1950 | 139.1 | 157.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 巴基斯坦 | 也门 |
|---|---|---|
| 2015 | 152.4138.7–163.3 | 180.9163.8–197.8 |
| 2016 | 150.6139.4–161.7 | 178.4162.7–194.6 |
| 2017 | 151.3138.8–162 | 179.8162.3–196.8 |
| 2018 | 152.6139.8–161.8 | 183.2165.3–198.6 |
| 2019 | 151.8138.1–163.3 | 179162–200.4 |
| 2020 | 153.1140.3–164.5 | 181.5163.1–195.9 |
| 2021 | 154.1140.6–165.7 | 184.6170.2–202.6 |
| 2022 | 153.1140.2–165.7 | 184.1167.5–203.7 |
| 2023 | 155.5141.6–165.9 | 186.8170.1–200.5 |
| 2024 | 156.8143.3–168.7 | 185.3168.8–206.4 |
| 2025 | 155.7141.5–168.6 | 186.5164.7–211.8 |
| 2026 | 155.3142.2–167.9 | 187.8167.9–208.8 |
| 2027 | 156.8140.9–168.9 | 186.5167.9–205.3 |
| 2028 | 156.5143.9–167.6 | 188.2172.3–203.6 |
| 2029 | 155.9141.5–167.7 | 193175.7–211.5 |
| 2030 | 156.3143.3–167.6 | 189.4171.6–207.4 |
| 2031 | 157.3144.4–168.1 | 193.4176.6–211.5 |
| 2032 | 157.4142.5–169.6 | 192.7173.2–213.2 |
| 2033 | 157.7143.6–169.4 | 191.2173–209.1 |
| 2034 | 159.5145.6–173.4 | 193.1172.1–214.9 |
| 2035 | 159.3146.7–170.3 | 193.1174.5–214.1 |
| 2036 | 159.1147.5–171.4 | 194177.6–213.5 |
| 2037 | 162.2147.5–175.3 | 195.9180.3–212.8 |
| 2038 | 161.4148.6–171.7 | 197.6178.5–217.1 |
| 2039 | 160148.2–170.4 | 194.8179.8–215.4 |
| 2040 | 160.9147.9–171.3 | 196.4178.8–220.1 |
| 2041 | 160.8146.7–171.7 | 198.5176.5–216.9 |
| 2042 | 162.3149.9–175.6 | 197.3174.4–225.8 |
| 2043 | 161.1150.3–173.8 | 198.3179.3–221 |
| 2044 | 163150.9–173.9 | 198.7180.5–221.9 |
| 2045 | 163149.5–174.8 | 199.8181.6–220.3 |
| 2046 | 163.5149.8–177.2 | 202.2181.7–229.3 |
| 2047 | 165.2151.8–178.5 | 205182.7–229.8 |
| 2048 | 166.4154.1–179.4 | 207.4188.8–229.5 |
| 2049 | 165150.8–178.2 | 203.6186.1–222.5 |
| 2050 | 166.9153.5–179.3 | 202.8186.2–226.3 |
| 2051 | 165.6150.8–180 | 204.6185.1–229.1 |
| 2052 | 166.7155.4–179.5 | 207.2186.9–227.7 |
| 2053 | 166.3154.2–178.8 | 203.9186.1–226.9 |
| 2054 | 167.5153.9–181 | 208.4188.3–234.9 |
| 2055 | 167.8155.8–182.5 | 208.3190.7–228 |
| 2056 | 166.3153.6–179.7 | 208.6188.5–236.3 |
| 2057 | 168.3153.9–182.3 | 208.4190.1–233.1 |
| 2058 | 167.5157–179.9 | 207.2184.7–236 |
| 2059 | 170.9155.9–183.8 | 213.3191.6–239.3 |
| 2060 | 170.3156.5–181.8 | 215194.1–235.3 |
| 2061 | 168.8156.8–179.6 | 209.8189.8–233.3 |
| 2062 | 171.6153.5–186.5 | 211.4189.6–246.5 |
| 2063 | 171.3159.5–183.8 | 215.9193.5–239.5 |
| 2064 | 170.2155.3–184.5 | 212.6194.7–231.7 |
| 2065 | 169.7156.4–185 | 212.5191.7–241.4 |
| 2066 | 172.2157–186.7 | 215.6196.9–241.3 |
| 2067 | 173.2160.2–186.3 | 214.6192.2–242.5 |
| 2068 | 172.6157.7–186.3 | 217192.5–243.8 |
| 2069 | 171.8157.3–185.6 | 216.7196.5–240.8 |
| 2070 | 171.7158.9–186.7 | 214.6189–244.5 |
| 2071 | 173.4158.7–186.8 | 221.2192.7–244.8 |
| 2072 | 174161.5–186.9 | 217.5194.7–239.4 |
| 2073 | 175.6157.2–187.9 | 220.5197.7–248.2 |
| 2074 | 173.5160–186.3 | 215.3193.3–240.1 |
| 2075 | 173161.5–187.8 | 220.7195.5–247.6 |
| 2076 | 172.9158.8–186.7 | 219.5196.2–243.5 |
| 2077 | 175161.3–187.8 | 220.8193.8–249.9 |
| 2078 | 174.4160.9–189.3 | 220.7198.9–246.9 |
| 2079 | 172.5158.3–187.7 | 219.4195.2–249.3 |
| 2080 | 175.1160.7–189.2 | 221.7197.8–246 |
| 2081 | 174.9159.2–190.2 | 222.4199.1–247 |
| 2082 | 175.4161.8–190.6 | 220.1198.5–243 |
| 2083 | 176.5161.8–190.8 | 217.4195.3–258.9 |
| 2084 | 176.1160.9–190.5 | 223.7195.6–246 |
| 2085 | 176.3161.9–193.6 | 225.1203.3–254.4 |
| 2086 | 173.9160–189.1 | 223.1196.5–256 |
| 2087 | 176161–193.1 | 225.8201.1–255.8 |
| 2088 | 175.4160.5–195.2 | 224197.1–259.9 |
| 2089 | 177.2164.2–191.7 | 225.6200.2–255.2 |
| 2090 | 177.7163.9–192.2 | 225.1201.5–253 |
| 2091 | 177.8162.8–192.2 | 228.1201.9–261.8 |
| 2092 | 178.7162.9–192.9 | 227.3200.1–261.6 |
| 2093 | 177164–191 | 223.6200.9–258.9 |
| 2094 | 176.8164.1–190.7 | 223200.3–250.5 |
| 2095 | 178.6163.8–193.1 | 228205.2–255.9 |
| 2096 | 177.8163.7–192.5 | 225.1201.6–257.9 |
| 2097 | 177.3160.4–192.5 | 222.6200.1–251.1 |
| 2098 | 178.7162.6–195.7 | 225.6199.6–261 |
| 2099 | 176159.9–193.2 | 223.2200.6–251.1 |
| 2100 | 177.6162.2–193 | 225.7204.7–259.7 |
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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
巴基斯坦与也门对比
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军用
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- 军费开支(美元)巴基斯坦:2025 年为 US$115亿也门:2014 年为 US$123亿
- 人均军费开支巴基斯坦:2025 年为 US$47也门:2014 年为 US$58
- 军费占政府支出比例巴基斯坦:2025 年为 13.8%(占政府支出)也门:2014 年为 14.3%(占政府支出)
- 武装部队人员巴基斯坦:2020 年为 943,000 人也门:2020 年为 40,000 人
- 国家实力巴基斯坦:2022 年为 1.77%(占全球实力)也门:2022 年为 0.24%(占全球实力)
- 武装部队占劳动力比例巴基斯坦:2020 年为 1.25%(占劳动力)也门:2020 年为 0.58%(占劳动力)
- 武器进口巴基斯坦:2025 年为 7.06亿 TIV也门:2022 年为 100万 TIV
- 武器出口巴基斯坦:2025 年为 1.27亿 TIV也门:1986 年为 5100万 TIV