约旦与巴基斯坦对比
约旦与巴基斯坦:热带夜
2014 年热带夜:约旦为 74.7 夜,巴基斯坦为 149.9 夜(CMIP6 气候模型中位数模拟)。 2014 年巴基斯坦的数值较高,高出 75.3 夜,是约旦的 2.01 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,巴基斯坦的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年约旦为 131.7 夜,巴基斯坦为 177.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 约旦 | 巴基斯坦 |
|---|---|---|
| 2014 | 74.7 | 149.9 |
| 2013 | 72.2 | 149.1 |
| 2012 | 71.9 | 149.9 |
| 2011 | 71.4 | 149 |
| 2010 | 71.4 | 148.4 |
| 2009 | 66.9 | 147.1 |
| 2008 | 69.4 | 147.4 |
| 2007 | 64.6 | 147.3 |
| 2006 | 67.7 | 146.7 |
| 2005 | 66.2 | 146.5 |
| 2004 | 67.4 | 147.5 |
| 2003 | 68.2 | 146 |
| 2002 | 63 | 148.3 |
| 2001 | 68.3 | 145.4 |
| 2000 | 63.8 | 144.7 |
| 1999 | 62.2 | 146.9 |
| 1998 | 61.8 | 144.8 |
| 1997 | 59.2 | 143.2 |
| 1996 | 56.6 | 141.2 |
| 1995 | 54.1 | 141.8 |
| 1994 | 54.6 | 142.1 |
| 1993 | 45.2 | 140.4 |
| 1992 | 48.3 | 139.9 |
| 1991 | 52.3 | 142.5 |
| 1990 | 57.7 | 142.6 |
| 1989 | 53.4 | 142.5 |
| 1988 | 50.5 | 140.3 |
| 1987 | 49.5 | 140 |
| 1986 | 52 | 140 |
| 1985 | 47.1 | 140 |
| 1984 | 44.2 | 138.9 |
| 1983 | 41.5 | 136.3 |
| 1982 | 47.4 | 138.5 |
| 1981 | 48.3 | 141.5 |
| 1980 | 49.2 | 139.5 |
| 1979 | 41.8 | 139.1 |
| 1978 | 45.1 | 139 |
| 1977 | 46.7 | 138.6 |
| 1976 | 45.6 | 139.2 |
| 1975 | 43 | 136.5 |
| 1974 | 45.1 | 138.7 |
| 1973 | 44.6 | 137.8 |
| 1972 | 44.8 | 137.4 |
| 1971 | 47.2 | 136 |
| 1970 | 44.3 | 137.7 |
| 1969 | 46.3 | 135.9 |
| 1968 | 42.6 | 136.6 |
| 1967 | 41.5 | 135.2 |
| 1966 | 43 | 136.9 |
| 1965 | 36.8 | 138.3 |
| 1964 | 37.7 | 135.1 |
| 1963 | 43 | 135.7 |
| 1962 | 45 | 137 |
| 1961 | 45.4 | 138.6 |
| 1960 | 46.3 | 139 |
| 1959 | 46.3 | 138.6 |
| 1958 | 47.2 | 137.7 |
| 1957 | 48.7 | 140 |
| 1956 | 48.4 | 137.8 |
| 1955 | 45.5 | 137.5 |
| 1954 | 42.7 | 137.8 |
| 1953 | 47.8 | 136.9 |
| 1952 | 45.7 | 138.1 |
| 1951 | 45 | 136.7 |
| 1950 | 41.8 | 139.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 约旦 | 巴基斯坦 |
|---|---|---|
| 2015 | 81.862.6–98.9 | 152.4138.7–163.3 |
| 2016 | 79.261.3–95.2 | 150.6139.4–161.7 |
| 2017 | 82.466.3–96.6 | 151.3138.8–162 |
| 2018 | 84.868.8–102.1 | 152.6139.8–161.8 |
| 2019 | 87.467.5–100.7 | 151.8138.1–163.3 |
| 2020 | 86.866.8–102.2 | 153.1140.3–164.5 |
| 2021 | 88.273.8–101.1 | 154.1140.6–165.7 |
| 2022 | 88.170–103.7 | 153.1140.2–165.7 |
| 2023 | 92.474.7–106.4 | 155.5141.6–165.9 |
| 2024 | 90.776.3–107.1 | 156.8143.3–168.7 |
| 2025 | 94.173.1–105.2 | 155.7141.5–168.6 |
| 2026 | 91.678.6–106.9 | 155.3142.2–167.9 |
| 2027 | 94.475.7–108.4 | 156.8140.9–168.9 |
| 2028 | 92.675.9–106.3 | 156.5143.9–167.6 |
| 2029 | 95.381.2–107.3 | 155.9141.5–167.7 |
| 2030 | 96.381.5–111.7 | 156.3143.3–167.6 |
| 2031 | 93.876.5–110.6 | 157.3144.4–168.1 |
| 2032 | 10086.4–110.9 | 157.4142.5–169.6 |
| 2033 | 100.683.6–113.6 | 157.7143.6–169.4 |
| 2034 | 98.882.4–112.3 | 159.5145.6–173.4 |
| 2035 | 101.883.2–115.2 | 159.3146.7–170.3 |
| 2036 | 97.885.1–116.2 | 159.1147.5–171.4 |
| 2037 | 10384.6–117.8 | 162.2147.5–175.3 |
| 2038 | 102.386.1–122.6 | 161.4148.6–171.7 |
| 2039 | 107.190.5–125.7 | 160148.2–170.4 |
| 2040 | 106.387.8–125.5 | 160.9147.9–171.3 |
| 2041 | 103.787.8–123.2 | 160.8146.7–171.7 |
| 2042 | 108.586.5–122.3 | 162.3149.9–175.6 |
| 2043 | 105.791–124.9 | 161.1150.3–173.8 |
| 2044 | 105.682.8–125.1 | 163150.9–173.9 |
| 2045 | 11298.8–128 | 163149.5–174.8 |
| 2046 | 11395.5–127.5 | 163.5149.8–177.2 |
| 2047 | 112.293–125.7 | 165.2151.8–178.5 |
| 2048 | 111.893.7–129.7 | 166.4154.1–179.4 |
| 2049 | 110.384.7–125.6 | 165150.8–178.2 |
| 2050 | 112.495.9–127.2 | 166.9153.5–179.3 |
| 2051 | 112.397–125.6 | 165.6150.8–180 |
| 2052 | 110.697.4–125.9 | 166.7155.4–179.5 |
| 2053 | 113.798.2–129.9 | 166.3154.2–178.8 |
| 2054 | 115.492.5–130.9 | 167.5153.9–181 |
| 2055 | 115.794.8–130.2 | 167.8155.8–182.5 |
| 2056 | 115.394.2–130.5 | 166.3153.6–179.7 |
| 2057 | 115.496.7–135.6 | 168.3153.9–182.3 |
| 2058 | 116.196.6–136.8 | 167.5157–179.9 |
| 2059 | 120.998.5–137.1 | 170.9155.9–183.8 |
| 2060 | 115.898.7–138.7 | 170.3156.5–181.8 |
| 2061 | 118.897.1–132.3 | 168.8156.8–179.6 |
| 2062 | 12091.6–136.4 | 171.6153.5–186.5 |
| 2063 | 118.7101.7–135.9 | 171.3159.5–183.8 |
| 2064 | 121.4103.3–135.9 | 170.2155.3–184.5 |
| 2065 | 120.2100.4–134.9 | 169.7156.4–185 |
| 2066 | 120.498.5–135 | 172.2157–186.7 |
| 2067 | 124106.1–139.5 | 173.2160.2–186.3 |
| 2068 | 123.2105.3–138.1 | 172.6157.7–186.3 |
| 2069 | 118.8105.4–137.2 | 171.8157.3–185.6 |
| 2070 | 123104–140.8 | 171.7158.9–186.7 |
| 2071 | 123.6103.8–144.3 | 173.4158.7–186.8 |
| 2072 | 124.5106.3–140.9 | 174161.5–186.9 |
| 2073 | 126.6104.8–144.4 | 175.6157.2–187.9 |
| 2074 | 120.9103–139.6 | 173.5160–186.3 |
| 2075 | 121.7103.1–138.1 | 173161.5–187.8 |
| 2076 | 124.1105.4–144.2 | 172.9158.8–186.7 |
| 2077 | 124.2105.3–143.9 | 175161.3–187.8 |
| 2078 | 124.7105.6–142.8 | 174.4160.9–189.3 |
| 2079 | 132107–143.6 | 172.5158.3–187.7 |
| 2080 | 128.9106.2–144.4 | 175.1160.7–189.2 |
| 2081 | 125.3108.7–144.8 | 174.9159.2–190.2 |
| 2082 | 128107.9–145.2 | 175.4161.8–190.6 |
| 2083 | 130.9108–144.7 | 176.5161.8–190.8 |
| 2084 | 130.5110.6–145 | 176.1160.9–190.5 |
| 2085 | 129.1108.8–141.7 | 176.3161.9–193.6 |
| 2086 | 127.5108.9–147.6 | 173.9160–189.1 |
| 2087 | 129.8106.1–148.4 | 176161–193.1 |
| 2088 | 132.2114.9–149.4 | 175.4160.5–195.2 |
| 2089 | 128.7113.4–148.5 | 177.2164.2–191.7 |
| 2090 | 128.2111.9–151.3 | 177.7163.9–192.2 |
| 2091 | 132.8112.5–152.1 | 177.8162.8–192.2 |
| 2092 | 130.6108.3–152.6 | 178.7162.9–192.9 |
| 2093 | 135.8116.2–154.4 | 177164–191 |
| 2094 | 135.9116.3–150.6 | 176.8164.1–190.7 |
| 2095 | 133112.7–149.6 | 178.6163.8–193.1 |
| 2096 | 130.4108.1–151.3 | 177.8163.7–192.5 |
| 2097 | 134.5113.5–155.4 | 177.3160.4–192.5 |
| 2098 | 132.5114.9–152.3 | 178.7162.6–195.7 |
| 2099 | 132.1115.3–145.3 | 176159.9–193.2 |
| 2100 | 131.7111.2–153.1 | 177.6162.2–193 |
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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
约旦与巴基斯坦对比
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军用
- 军费开支约旦:2025 年为 GDP 的 4.56%巴基斯坦:2025 年为 GDP 的 2.91%
- 军费开支(美元)约旦:2025 年为 US$25亿巴基斯坦:2025 年为 US$115亿
- 人均军费开支约旦:2025 年为 US$221巴基斯坦:2025 年为 US$47
- 军费占政府支出比例约旦:2025 年为 13.5%(占政府支出)巴基斯坦:2025 年为 13.8%(占政府支出)
- 武装部队人员约旦:2020 年为 116,000 人巴基斯坦:2020 年为 943,000 人
- 国家实力约旦:2022 年为 0.17%(占全球实力)巴基斯坦:2022 年为 1.77%(占全球实力)
- 武装部队占劳动力比例约旦:2020 年为 3.98%(占劳动力)巴基斯坦:2020 年为 1.25%(占劳动力)
- 武器进口约旦:2024 年为 3400万 TIV巴基斯坦:2025 年为 7.06亿 TIV
- 武器出口约旦:2024 年为 2.26亿 TIV巴基斯坦:2025 年为 1.27亿 TIV