巴基斯坦与苏丹对比
巴基斯坦与苏丹:35 °C 以上天数
2014 年35 °C 以上天数:巴基斯坦为 118.6 天,苏丹为 184 天(CMIP6 气候模型中位数模拟)。 2014 年苏丹的数值较高,高出 65.4 天,是巴基斯坦的 1.55 倍。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,苏丹的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年巴基斯坦为 147.6 天,苏丹为 230.7 天。
逐年数据
每年天数 · CMIP6
| 年份 | 巴基斯坦 | 苏丹 |
|---|---|---|
| 2014 | 118.6 | 184 |
| 2013 | 117.5 | 179.8 |
| 2012 | 117.5 | 180.9 |
| 2011 | 118 | 183.5 |
| 2010 | 114.3 | 181.3 |
| 2009 | 115.3 | 175.7 |
| 2008 | 115.4 | 173.9 |
| 2007 | 112.5 | 171.9 |
| 2006 | 112.9 | 171.2 |
| 2005 | 114.9 | 169.5 |
| 2004 | 116.1 | 171.6 |
| 2003 | 114.6 | 172.7 |
| 2002 | 115.9 | 173.6 |
| 2001 | 114.4 | 177.8 |
| 2000 | 114.6 | 170.3 |
| 1999 | 114.2 | 170.7 |
| 1998 | 111.7 | 166 |
| 1997 | 112 | 169.3 |
| 1996 | 108.3 | 165.5 |
| 1995 | 110 | 165.1 |
| 1994 | 108.6 | 162.2 |
| 1993 | 107.2 | 154.5 |
| 1992 | 105.2 | 154.3 |
| 1991 | 110.6 | 165.3 |
| 1990 | 110.7 | 166.6 |
| 1989 | 110.9 | 164.1 |
| 1988 | 109.8 | 164.2 |
| 1987 | 108.3 | 163.3 |
| 1986 | 108.7 | 166.1 |
| 1985 | 105.6 | 159.7 |
| 1984 | 108 | 158 |
| 1983 | 104.7 | 157 |
| 1982 | 108 | 155.1 |
| 1981 | 109.5 | 162.1 |
| 1980 | 109.7 | 161.1 |
| 1979 | 108.7 | 160.4 |
| 1978 | 108.6 | 155.5 |
| 1977 | 106.5 | 157.9 |
| 1976 | 108.2 | 157.3 |
| 1975 | 105 | 153.9 |
| 1974 | 108.8 | 155.3 |
| 1973 | 108 | 161.4 |
| 1972 | 104.5 | 156.2 |
| 1971 | 106.2 | 153.4 |
| 1970 | 106.5 | 156.8 |
| 1969 | 105.8 | 153.8 |
| 1968 | 104.4 | 154.6 |
| 1967 | 106.4 | 148.4 |
| 1966 | 106.4 | 153 |
| 1965 | 106 | 154.2 |
| 1964 | 103 | 148.7 |
| 1963 | 104.3 | 146.1 |
| 1962 | 106.7 | 155.9 |
| 1961 | 108.7 | 158.5 |
| 1960 | 108.7 | 161.3 |
| 1959 | 110.4 | 158.4 |
| 1958 | 108.5 | 156.7 |
| 1957 | 110.7 | 159.4 |
| 1956 | 108.8 | 157.7 |
| 1955 | 108.3 | 154.7 |
| 1954 | 107 | 158.7 |
| 1953 | 107.6 | 156.3 |
| 1952 | 108.9 | 156.1 |
| 1951 | 108.1 | 158.9 |
| 1950 | 110.5 | 155.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 巴基斯坦 | 苏丹 |
|---|---|---|
| 2015 | 122100.8–136.6 | 183.4158.5–201.6 |
| 2016 | 119.5104.9–132 | 179.1156.3–200.8 |
| 2017 | 119.999.5–134.3 | 184.1159.3–204.4 |
| 2018 | 119.7103–133.8 | 178.9156–204.1 |
| 2019 | 118.997.2–133.8 | 181.9158.3–204.8 |
| 2020 | 122.8105–136.3 | 182.3159.2–205.5 |
| 2021 | 122.9103.2–138.2 | 183.1159.4–206.8 |
| 2022 | 120.7101.9–136.4 | 187.9165.4–207.6 |
| 2023 | 123.3104.8–138.8 | 185.3162.7–207.9 |
| 2024 | 124.4105.4–139.1 | 192.2168–211.3 |
| 2025 | 123.8102.8–139.1 | 188.6166.8–209.3 |
| 2026 | 122.5101.9–141.8 | 188.5157.9–211.8 |
| 2027 | 124.4101.5–141 | 189.2157–211.6 |
| 2028 | 124.8103.6–140.2 | 189.6162.9–211.3 |
| 2029 | 126.499.2–141.6 | 190.4166.6–209.3 |
| 2030 | 122.5103.5–140.1 | 191.6170.8–214.6 |
| 2031 | 122.7105.6–139.9 | 192.2167.3–218 |
| 2032 | 126104–143.9 | 191.2169.9–210.3 |
| 2033 | 125.9106.6–144.1 | 195.3172.4–216.8 |
| 2034 | 130.9113.2–147.8 | 197.1168.8–222.4 |
| 2035 | 127.1107.6–143.6 | 196.4168.7–221.2 |
| 2036 | 125.5108.3–143.4 | 191.3171.4–213.6 |
| 2037 | 130.7112.4–147.9 | 198173.5–220.2 |
| 2038 | 130.9108.6–144.9 | 200.4179.8–221.2 |
| 2039 | 128.6110.2–144.9 | 199.5171.5–218.6 |
| 2040 | 133.2115.1–146.1 | 196.3172.7–217.9 |
| 2041 | 127.2108.3–143.5 | 202.2174.1–221.8 |
| 2042 | 134.6112.8–150.7 | 201.6175.8–224.1 |
| 2043 | 131.6112.5–149.3 | 198.7169.7–224.3 |
| 2044 | 128.2108.1–145.9 | 198.3173.4–222.2 |
| 2045 | 133.4116.7–148.7 | 203.4179.1–224.6 |
| 2046 | 133.8109–151.1 | 210.2177.8–229.9 |
| 2047 | 134.6110–150.9 | 206.2180.9–228.4 |
| 2048 | 136117.1–152.3 | 204.6180–231.3 |
| 2049 | 133.3115.2–152.5 | 204.3178.2–227.3 |
| 2050 | 138.4119.4–157.4 | 205.3180.8–234.5 |
| 2051 | 138115.5–158.2 | 206.2186–229.8 |
| 2052 | 138.3120.3–155.3 | 209182–231.9 |
| 2053 | 137.4117.7–155.8 | 208.7181.2–230.7 |
| 2054 | 137116–152.4 | 211180.1–231.4 |
| 2055 | 139.6120–157.2 | 212.3184–233.5 |
| 2056 | 135.8117.3–154.1 | 208.5182.4–235.7 |
| 2057 | 141.5119.5–158.8 | 213.2186.4–240.1 |
| 2058 | 137.1114.3–154.7 | 213.4183–233.4 |
| 2059 | 141.4122.6–156.6 | 214.6189.2–242.4 |
| 2060 | 142.5124.1–158.6 | 213.7189.1–241.7 |
| 2061 | 142.3123.2–157.4 | 214.5186.1–239.4 |
| 2062 | 141.3118.8–161.2 | 214.4187–241.2 |
| 2063 | 143.1125.6–160.6 | 212.5181.1–235.9 |
| 2064 | 140.7119.8–163.5 | 214.9189.9–242.2 |
| 2065 | 141.1121.5–159.3 | 217.2195.4–238.5 |
| 2066 | 143.8122.5–163.4 | 217.1190.9–246.3 |
| 2067 | 144.2125.9–162.3 | 216.5188.1–243.9 |
| 2068 | 143.2126–162.2 | 216.7193.9–247.6 |
| 2069 | 144.7119.8–163.2 | 216.1187.6–243.2 |
| 2070 | 143.7126.5–163 | 219.4189.5–241.3 |
| 2071 | 145.5121.8–164.4 | 224.1190.5–247.8 |
| 2072 | 147.1125.5–165.1 | 222.3196.2–245.1 |
| 2073 | 149.2122.1–164.7 | 221.8196.1–246.8 |
| 2074 | 145.8126.7–162.2 | 218.1183.5–249 |
| 2075 | 145.1126.2–160.5 | 221.9188.6–243.6 |
| 2076 | 145.7126.4–165.9 | 222.4196.4–250.8 |
| 2077 | 146.1126.2–164.4 | 225.8194.6–252.8 |
| 2078 | 146.5121.4–164.4 | 224.1196.8–250.7 |
| 2079 | 144.6122.7–161 | 220.7194.1–245.3 |
| 2080 | 148.2123.7–166.4 | 225.9191.3–250 |
| 2081 | 145.8122.2–167 | 225.1197.7–250.3 |
| 2082 | 146123.3–168.8 | 222.6195.3–249.8 |
| 2083 | 148.3127–167.4 | 228.1199.6–251.9 |
| 2084 | 150.5128.5–167.6 | 224.5194.9–252.9 |
| 2085 | 149.9126.1–170.8 | 226.3199.3–251.5 |
| 2086 | 146.3124.2–165 | 225.2193.1–258.3 |
| 2087 | 149.9124.3–167.3 | 222.9190.2–250.1 |
| 2088 | 149.3127.9–169.7 | 220.4194.2–256.8 |
| 2089 | 148.9129.6–166.7 | 227195.7–249.8 |
| 2090 | 150.3131.5–166.7 | 229198.7–254.5 |
| 2091 | 151.1128.4–168.7 | 227196.4–254.1 |
| 2092 | 150.5129.8–170.2 | 227.2200.5–253.1 |
| 2093 | 151.6131.8–167.9 | 227.5203–252.1 |
| 2094 | 151.5130.4–168.6 | 231.9201.3–256 |
| 2095 | 152.5130.6–169.2 | 228.4202.1–255 |
| 2096 | 150.8124.2–169 | 226.4198.4–255.9 |
| 2097 | 149.4130.3–167.5 | 225.9196.5–255.7 |
| 2098 | 151.7125.4–168.2 | 227.8194.4–253.4 |
| 2099 | 151.6124.4–170.6 | 229.5200.7–257.4 |
| 2100 | 147.6125.2–167.5 | 230.7199.7–256.7 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,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
巴基斯坦与苏丹对比
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军用
- 军费开支巴基斯坦:2025 年为 GDP 的 2.91%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)巴基斯坦:2025 年为 US$115亿苏丹:2021 年为 US$27.7亿
- 人均军费开支巴基斯坦:2025 年为 US$47苏丹:2021 年为 US$8
- 军费占政府支出比例巴基斯坦:2025 年为 13.8%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员巴基斯坦:2020 年为 943,000 人苏丹:2020 年为 144,000 人
- 国家实力巴基斯坦:2022 年为 1.77%(占全球实力)苏丹:2022 年为 0.37%(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)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口巴基斯坦:2025 年为 7.06亿 TIV苏丹:2025 年为 5700万 TIV
- 武器出口巴基斯坦:2025 年为 1.27亿 TIV苏丹:2013 年为 1100万 TIV