伊拉克与巴基斯坦对比
伊拉克与巴基斯坦:35 °C 以上天数
2014 年35 °C 以上天数:伊拉克为 143.3 天,巴基斯坦为 118.6 天(CMIP6 气候模型中位数模拟)。 2014 年伊拉克的数值较高,高出 24.7 天,是巴基斯坦的 1.21 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,伊拉克的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年伊拉克为 168.1 天,巴基斯坦为 147.6 天。
逐年数据
每年天数 · CMIP6
| 年份 | 伊拉克 | 巴基斯坦 |
|---|---|---|
| 2014 | 143.3 | 118.6 |
| 2013 | 143.1 | 117.5 |
| 2012 | 142.6 | 117.5 |
| 2011 | 142.2 | 118 |
| 2010 | 139.4 | 114.3 |
| 2009 | 138.4 | 115.3 |
| 2008 | 141.5 | 115.4 |
| 2007 | 139.4 | 112.5 |
| 2006 | 140 | 112.9 |
| 2005 | 139.3 | 114.9 |
| 2004 | 139.9 | 116.1 |
| 2003 | 138.9 | 114.6 |
| 2002 | 138.1 | 115.9 |
| 2001 | 140 | 114.4 |
| 2000 | 140.9 | 114.6 |
| 1999 | 136.7 | 114.2 |
| 1998 | 135.3 | 111.7 |
| 1997 | 137 | 112 |
| 1996 | 137.4 | 108.3 |
| 1995 | 133.4 | 110 |
| 1994 | 133.6 | 108.6 |
| 1993 | 130.1 | 107.2 |
| 1992 | 127.6 | 105.2 |
| 1991 | 131.5 | 110.6 |
| 1990 | 136 | 110.7 |
| 1989 | 135.7 | 110.9 |
| 1988 | 134.3 | 109.8 |
| 1987 | 132.2 | 108.3 |
| 1986 | 135.4 | 108.7 |
| 1985 | 131 | 105.6 |
| 1984 | 129.7 | 108 |
| 1983 | 127.6 | 104.7 |
| 1982 | 129.4 | 108 |
| 1981 | 132.1 | 109.5 |
| 1980 | 134.4 | 109.7 |
| 1979 | 130.4 | 108.7 |
| 1978 | 129.9 | 108.6 |
| 1977 | 129.8 | 106.5 |
| 1976 | 132.6 | 108.2 |
| 1975 | 128.2 | 105 |
| 1974 | 129.9 | 108.8 |
| 1973 | 129.9 | 108 |
| 1972 | 130.2 | 104.5 |
| 1971 | 128.3 | 106.2 |
| 1970 | 130 | 106.5 |
| 1969 | 131.1 | 105.8 |
| 1968 | 127.9 | 104.4 |
| 1967 | 128.3 | 106.4 |
| 1966 | 129 | 106.4 |
| 1965 | 128.6 | 106 |
| 1964 | 129.3 | 103 |
| 1963 | 130 | 104.3 |
| 1962 | 130.2 | 106.7 |
| 1961 | 134 | 108.7 |
| 1960 | 131.1 | 108.7 |
| 1959 | 133.8 | 110.4 |
| 1958 | 131.8 | 108.5 |
| 1957 | 131.7 | 110.7 |
| 1956 | 130.7 | 108.8 |
| 1955 | 129.8 | 108.3 |
| 1954 | 131.7 | 107 |
| 1953 | 132.9 | 107.6 |
| 1952 | 133.6 | 108.9 |
| 1951 | 133.5 | 108.1 |
| 1950 | 130.2 | 110.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 伊拉克 | 巴基斯坦 |
|---|---|---|
| 2015 | 146.5134.9–155.9 | 122100.8–136.6 |
| 2016 | 145.4133.9–160.3 | 119.5104.9–132 |
| 2017 | 146132.3–158.3 | 119.999.5–134.3 |
| 2018 | 146.2132.5–158.8 | 119.7103–133.8 |
| 2019 | 146.8135.9–158.8 | 118.997.2–133.8 |
| 2020 | 148.8135.8–160.2 | 122.8105–136.3 |
| 2021 | 146.6135.6–157.1 | 122.9103.2–138.2 |
| 2022 | 148.4136.8–159.5 | 120.7101.9–136.4 |
| 2023 | 149.7138.7–161.4 | 123.3104.8–138.8 |
| 2024 | 148.6138.1–160.9 | 124.4105.4–139.1 |
| 2025 | 149.3137.3–161.5 | 123.8102.8–139.1 |
| 2026 | 147.6136.7–158.3 | 122.5101.9–141.8 |
| 2027 | 150.9138.6–161.1 | 124.4101.5–141 |
| 2028 | 149.4134.2–162.8 | 124.8103.6–140.2 |
| 2029 | 149.1139.1–159.9 | 126.499.2–141.6 |
| 2030 | 149.4138.7–161.4 | 122.5103.5–140.1 |
| 2031 | 149.8138.5–163.1 | 122.7105.6–139.9 |
| 2032 | 151.3138.1–162.1 | 126104–143.9 |
| 2033 | 153.3141.2–164.6 | 125.9106.6–144.1 |
| 2034 | 151.3139–165.8 | 130.9113.2–147.8 |
| 2035 | 152141.2–165.7 | 127.1107.6–143.6 |
| 2036 | 150.3136.4–161.5 | 125.5108.3–143.4 |
| 2037 | 152.6138.8–165.1 | 130.7112.4–147.9 |
| 2038 | 153.8140.6–166.8 | 130.9108.6–144.9 |
| 2039 | 155.8142.5–168.3 | 128.6110.2–144.9 |
| 2040 | 156.2144.7–166.4 | 133.2115.1–146.1 |
| 2041 | 154.2140.9–163.6 | 127.2108.3–143.5 |
| 2042 | 157.4142.7–166.1 | 134.6112.8–150.7 |
| 2043 | 156.5139.2–166.1 | 131.6112.5–149.3 |
| 2044 | 155.9146.3–166 | 128.2108.1–145.9 |
| 2045 | 158.2146.5–171.2 | 133.4116.7–148.7 |
| 2046 | 156.8145.5–169.4 | 133.8109–151.1 |
| 2047 | 157.7145.9–169.1 | 134.6110–150.9 |
| 2048 | 156.8145.8–169 | 136117.1–152.3 |
| 2049 | 156.1144.3–166.8 | 133.3115.2–152.5 |
| 2050 | 159.3146.2–171 | 138.4119.4–157.4 |
| 2051 | 160.8148.7–171.4 | 138115.5–158.2 |
| 2052 | 157.8144.1–169 | 138.3120.3–155.3 |
| 2053 | 156.4144.3–169.1 | 137.4117.7–155.8 |
| 2054 | 158.8143.4–175.1 | 137116–152.4 |
| 2055 | 162.7147.9–174.7 | 139.6120–157.2 |
| 2056 | 156.9143.8–169.1 | 135.8117.3–154.1 |
| 2057 | 158.5144.4–172.5 | 141.5119.5–158.8 |
| 2058 | 160.7147.3–172.2 | 137.1114.3–154.7 |
| 2059 | 158.5145.8–173.2 | 141.4122.6–156.6 |
| 2060 | 159.6148–175.7 | 142.5124.1–158.6 |
| 2061 | 162.4149.3–172.8 | 142.3123.2–157.4 |
| 2062 | 160.3147.2–173.3 | 141.3118.8–161.2 |
| 2063 | 162.1146.3–173.4 | 143.1125.6–160.6 |
| 2064 | 161.2147.6–172.3 | 140.7119.8–163.5 |
| 2065 | 160.4149.2–172.3 | 141.1121.5–159.3 |
| 2066 | 159.6149.3–173.8 | 143.8122.5–163.4 |
| 2067 | 162.7152.7–179.1 | 144.2125.9–162.3 |
| 2068 | 163.1147.4–173.5 | 143.2126–162.2 |
| 2069 | 163.9149.4–172.1 | 144.7119.8–163.2 |
| 2070 | 165153.2–175.5 | 143.7126.5–163 |
| 2071 | 163.2151.8–177.8 | 145.5121.8–164.4 |
| 2072 | 163.9150.2–174.6 | 147.1125.5–165.1 |
| 2073 | 166.2151.5–179.5 | 149.2122.1–164.7 |
| 2074 | 163.7147.1–179 | 145.8126.7–162.2 |
| 2075 | 163.3148.9–175.3 | 145.1126.2–160.5 |
| 2076 | 163148.4–175.1 | 145.7126.4–165.9 |
| 2077 | 165.4149.6–178 | 146.1126.2–164.4 |
| 2078 | 165151.6–176.3 | 146.5121.4–164.4 |
| 2079 | 165.3151.1–177.6 | 144.6122.7–161 |
| 2080 | 165.1153.7–177.3 | 148.2123.7–166.4 |
| 2081 | 165.4151.8–180.6 | 145.8122.2–167 |
| 2082 | 165.4151.9–178.4 | 146123.3–168.8 |
| 2083 | 166.3149.9–178.5 | 148.3127–167.4 |
| 2084 | 168.8156.7–179.6 | 150.5128.5–167.6 |
| 2085 | 164.8153.3–179 | 149.9126.1–170.8 |
| 2086 | 168155.9–178.1 | 146.3124.2–165 |
| 2087 | 167.4152.7–179.4 | 149.9124.3–167.3 |
| 2088 | 168.3153.6–181.4 | 149.3127.9–169.7 |
| 2089 | 166.3150.5–179.8 | 148.9129.6–166.7 |
| 2090 | 165.5150–179.2 | 150.3131.5–166.7 |
| 2091 | 166.8154.8–181 | 151.1128.4–168.7 |
| 2092 | 167.6155.6–178.5 | 150.5129.8–170.2 |
| 2093 | 168.4156.2–180.5 | 151.6131.8–167.9 |
| 2094 | 169.3158.3–181.6 | 151.5130.4–168.6 |
| 2095 | 166.8154.1–181.1 | 152.5130.6–169.2 |
| 2096 | 167.4154.4–181.6 | 150.8124.2–169 |
| 2097 | 170.5151.7–182.3 | 149.4130.3–167.5 |
| 2098 | 166.4152.3–182.3 | 151.7125.4–168.2 |
| 2099 | 168.4155.5–179.9 | 151.6124.4–170.6 |
| 2100 | 168.1155.5–182.3 | 147.6125.2–167.5 |
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
伊拉克与巴基斯坦对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支伊拉克:2025 年为 GDP 的 2.45%巴基斯坦:2025 年为 GDP 的 2.91%
- 军费开支(美元)伊拉克:2025 年为 US$64亿巴基斯坦:2025 年为 US$115亿
- 人均军费开支伊拉克:2025 年为 US$139巴基斯坦:2025 年为 US$47
- 军费占政府支出比例伊拉克:2025 年为 5.5%(占政府支出)巴基斯坦:2025 年为 13.8%(占政府支出)
- 武装部队人员伊拉克:2020 年为 459,000 人巴基斯坦:2020 年为 943,000 人
- 国家实力伊拉克:2022 年为 0.54%(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伊拉克:2020 年为 4.4%(占劳动力)巴基斯坦:2020 年为 1.25%(占劳动力)
- 武器进口伊拉克:2025 年为 5500万 TIV巴基斯坦:2025 年为 7.06亿 TIV
- 武器出口伊拉克:1989 年为 2000万 TIV巴基斯坦:2025 年为 1.27亿 TIV