秘鲁与委内瑞拉对比
秘鲁与委内瑞拉:热带夜
2014 年热带夜:秘鲁为 164.5 夜,委内瑞拉为 301.6 夜(CMIP6 气候模型中位数模拟)。 2014 年委内瑞拉的数值较高,高出 137.1 夜,是秘鲁的 1.83 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,委内瑞拉的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年秘鲁为 192.3 夜,委内瑞拉为 345 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 秘鲁 | 委内瑞拉 |
|---|---|---|
| 2014 | 164.5 | 301.6 |
| 2013 | 163.1 | 302 |
| 2012 | 164.8 | 303.7 |
| 2011 | 164.3 | 301.3 |
| 2010 | 163.3 | 300.3 |
| 2009 | 162.3 | 300 |
| 2008 | 162 | 298.4 |
| 2007 | 159.8 | 296.4 |
| 2006 | 159.1 | 296.8 |
| 2005 | 159.3 | 296.8 |
| 2004 | 161.8 | 299.4 |
| 2003 | 160.5 | 295.2 |
| 2002 | 159.9 | 296.3 |
| 2001 | 160.7 | 298.7 |
| 2000 | 158 | 292.3 |
| 1999 | 155.7 | 291.6 |
| 1998 | 157.4 | 291.4 |
| 1997 | 156.1 | 290.5 |
| 1996 | 152.2 | 286.8 |
| 1995 | 152.1 | 285.4 |
| 1994 | 150.8 | 282.3 |
| 1993 | 148.5 | 279.5 |
| 1992 | 144 | 274.7 |
| 1991 | 156 | 289.7 |
| 1990 | 158.3 | 291.4 |
| 1989 | 153.2 | 283.8 |
| 1988 | 151.2 | 284.2 |
| 1987 | 152 | 284.2 |
| 1986 | 153.4 | 284.4 |
| 1985 | 149 | 278.3 |
| 1984 | 148.3 | 279.8 |
| 1983 | 145.4 | 274.3 |
| 1982 | 151.4 | 280.8 |
| 1981 | 153.1 | 283.4 |
| 1980 | 150.9 | 280.5 |
| 1979 | 150.5 | 281.1 |
| 1978 | 149.1 | 278.7 |
| 1977 | 150.3 | 281.2 |
| 1976 | 147.5 | 276.6 |
| 1975 | 142.1 | 272.3 |
| 1974 | 148.6 | 277.7 |
| 1973 | 151.5 | 278.9 |
| 1972 | 147.6 | 275.9 |
| 1971 | 145.7 | 276.5 |
| 1970 | 145.6 | 275.6 |
| 1969 | 147 | 275.6 |
| 1968 | 146 | 273.2 |
| 1967 | 142.3 | 271.5 |
| 1966 | 145.7 | 273.1 |
| 1965 | 143.3 | 272.1 |
| 1964 | 141.6 | 270.3 |
| 1963 | 135.9 | 268.9 |
| 1962 | 148.9 | 276.8 |
| 1961 | 146.5 | 278.6 |
| 1960 | 149.8 | 279.9 |
| 1959 | 146.1 | 276.1 |
| 1958 | 149.1 | 280.9 |
| 1957 | 148.7 | 277.6 |
| 1956 | 144 | 275.1 |
| 1955 | 148.3 | 277.7 |
| 1954 | 148.7 | 277.5 |
| 1953 | 148.2 | 277.3 |
| 1952 | 148.1 | 278.4 |
| 1951 | 147.2 | 277.5 |
| 1950 | 147.8 | 275.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 秘鲁 | 委内瑞拉 |
|---|---|---|
| 2015 | 164.3148.5–174.9 | 306.4280.3–320.1 |
| 2016 | 163.4149.8–171.5 | 303.9282.3–316.9 |
| 2017 | 165.5155–175.2 | 308.5288.7–319.9 |
| 2018 | 165152.9–176.6 | 307.6289.9–320.7 |
| 2019 | 163.7151–176.8 | 306.7288.7–321.7 |
| 2020 | 165.3151.6–176.2 | 310.2287.9–323.6 |
| 2021 | 167.6154.7–177.3 | 311.3295.3–324.1 |
| 2022 | 169.5156.6–179.2 | 314.4295–326.3 |
| 2023 | 167.1156.3–178.4 | 311.5294.4–326.5 |
| 2024 | 170.6157.3–180.2 | 316298.2–327.4 |
| 2025 | 168.6155–179.9 | 313.8294.2–329.5 |
| 2026 | 167.8153.3–179.7 | 314290.3–329.4 |
| 2027 | 168.3155.2–178.8 | 315.6292.6–328.8 |
| 2028 | 169.8158.3–179.9 | 317.7296.4–332.1 |
| 2029 | 174162.8–181.7 | 319.3296.9–332 |
| 2030 | 168.1153.2–180.6 | 317.7295–328.5 |
| 2031 | 172.5156.2–183.7 | 320.1295.9–331.8 |
| 2032 | 173.2162.7–184.7 | 321.4304.7–335 |
| 2033 | 172156.5–181 | 320.6301.8–331.2 |
| 2034 | 171.6158.7–185.6 | 318.1298.1–335 |
| 2035 | 172159.3–184.1 | 319.3302.3–335.9 |
| 2036 | 172.5160.7–183.2 | 320.5305.3–332.3 |
| 2037 | 175.6166.3–185.3 | 324.1307.2–334.1 |
| 2038 | 175.8164.6–184.9 | 325.8309.6–336.2 |
| 2039 | 174.1162.7–185 | 324.3307.9–335.8 |
| 2040 | 175.4163.9–187 | 323.5307.5–338.7 |
| 2041 | 176.5165.3–186.1 | 325.3309.6–336.6 |
| 2042 | 176.3161.9–189.7 | 324.8305.5–341.2 |
| 2043 | 174.8163.7–185.3 | 324.2307.1–337.7 |
| 2044 | 175.3161.9–188.2 | 324.1306.3–339.8 |
| 2045 | 177.3165.5–186.9 | 327.5309.7–338.6 |
| 2046 | 180.3167.4–189.9 | 329.6310.8–340.5 |
| 2047 | 178.6167.5–189 | 329.5313.9–341.5 |
| 2048 | 181.2168.2–192.2 | 331.2313.7–342.8 |
| 2049 | 180.4168.1–189.8 | 332.3314.9–340.5 |
| 2050 | 178.6166.4–190.8 | 330.9311.8–343.6 |
| 2051 | 180.3168.5–190.6 | 330.7310.1–344 |
| 2052 | 181.5170.8–191.7 | 332.4316.6–343.5 |
| 2053 | 179.5168.3–190.8 | 330.6312.7–343.6 |
| 2054 | 180.1167.3–193.9 | 331.9313.8–344.6 |
| 2055 | 181.7171–194.8 | 333317–345.8 |
| 2056 | 182.2170–193 | 332.7313.1–347.7 |
| 2057 | 181.6168.7–193 | 334.2315.2–345.3 |
| 2058 | 183.1169.4–195.5 | 333.5314.3–346.2 |
| 2059 | 184.6169.7–195.3 | 335.6317.1–348.3 |
| 2060 | 185.6171.1–197.1 | 337.4319.4–349 |
| 2061 | 182.7169.9–195.8 | 335.3317.3–347.2 |
| 2062 | 184.3168.7–196.9 | 335.9315–348.4 |
| 2063 | 184.6170.8–196.9 | 338317.5–347.9 |
| 2064 | 184.4170.1–194.8 | 336.3319.9–347.5 |
| 2065 | 186.3173.3–196.9 | 336.8319.9–349 |
| 2066 | 185.6172.3–197.4 | 337.9320.9–349.1 |
| 2067 | 184.3169.4–198.2 | 337.5317.9–348.2 |
| 2068 | 186.1172.1–198.3 | 339.3317.4–349.4 |
| 2069 | 184.9169–198.3 | 336.5318.1–349 |
| 2070 | 185.4171.8–198.4 | 336.4319.5–349.1 |
| 2071 | 187.3173.3–198.7 | 338.9319.1–349.1 |
| 2072 | 188.1174.9–199.8 | 340321.8–350.6 |
| 2073 | 187.6175.9–202.1 | 340.3322.9–351.4 |
| 2074 | 186.4169.5–198.9 | 338.9319.1–349.5 |
| 2075 | 186.4170.6–198.3 | 339.5318.1–349.2 |
| 2076 | 188.8174.2–201 | 339.8322.6–350.2 |
| 2077 | 189.1174.7–201.8 | 340.3322.1–351 |
| 2078 | 188.4175.6–202.3 | 340.2323–351 |
| 2079 | 188172–199.7 | 340.1320.9–351.4 |
| 2080 | 189.1172.8–201.7 | 341.4320.2–351.6 |
| 2081 | 188.4173.6–201.8 | 340.7322.5–351.3 |
| 2082 | 188.8174.8–199.7 | 341.6323.9–350.1 |
| 2083 | 189.9175.7–204.7 | 341.7323.3–353 |
| 2084 | 190.7176.3–204.4 | 343.3321.3–352.4 |
| 2085 | 192176.2–204.6 | 344.7322.8–353.5 |
| 2086 | 189.1175.4–204 | 341.4322.6–352.2 |
| 2087 | 189.1175.9–203.6 | 342.5322.4–352.2 |
| 2088 | 191.1174.7–204.9 | 342.9322.8–353.6 |
| 2089 | 190.1174.3–203 | 342.3324.8–353.1 |
| 2090 | 190.4177–206.2 | 341.9325.2–352.9 |
| 2091 | 192.6174.4–205.9 | 344.3323.4–353.3 |
| 2092 | 192.6176.6–204.7 | 344.3324.9–354.2 |
| 2093 | 190.6176–206 | 343324.8–353.6 |
| 2094 | 192.3178.2–204.1 | 343.9326.6–352.8 |
| 2095 | 193.4176.5–207.3 | 345.4325.4–354.5 |
| 2096 | 191.4176.2–207.6 | 343.7326–355.2 |
| 2097 | 190.7174.9–202.2 | 343.5324.6–351.9 |
| 2098 | 192.9177.8–208.9 | 344.5326.1–354.4 |
| 2099 | 191.5176.8–205 | 344.6324.8–353.8 |
| 2100 | 192.3176.6–205.6 | 345328.4–353.9 |
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
秘鲁与委内瑞拉对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支秘鲁:2025 年为 GDP 的 0.81%委内瑞拉:2017 年为 GDP 的 2.23%
- 人均军费开支秘鲁:2025 年为 US$75委内瑞拉:2017 年为 US$69
- 武装部队人员秘鲁:2020 年为 158,000 人委内瑞拉:2020 年为 343,000 人
- 国家实力秘鲁:2022 年为 0.28%(占全球实力)委内瑞拉:2022 年为 0.34%(占全球实力)
- 武装部队占劳动力比例秘鲁:2020 年为 0.94%(占劳动力)委内瑞拉:2020 年为 3.47%(占劳动力)
- 武器进口秘鲁:2025 年为 9000万 TIV委内瑞拉:2023 年为 9800万 TIV
- 武器出口秘鲁:2004 年为 500万 TIV委内瑞拉:2009 年为 4000万 TIV