玻利维亚与秘鲁对比
玻利维亚与秘鲁:热带夜
2014 年热带夜:玻利维亚为 179.5 夜,秘鲁为 164.5 夜(CMIP6 气候模型中位数模拟)。 2014 年玻利维亚的数值较高,高出 15 夜,是秘鲁的 1.09 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,玻利维亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年玻利维亚为 210.8 夜,秘鲁为 192.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 玻利维亚 | 秘鲁 |
|---|---|---|
| 2014 | 179.5 | 164.5 |
| 2013 | 176.3 | 163.1 |
| 2012 | 177 | 164.8 |
| 2011 | 177.2 | 164.3 |
| 2010 | 176.7 | 163.3 |
| 2009 | 175.9 | 162.3 |
| 2008 | 174.1 | 162 |
| 2007 | 169 | 159.8 |
| 2006 | 169.8 | 159.1 |
| 2005 | 170.5 | 159.3 |
| 2004 | 175.5 | 161.8 |
| 2003 | 170.6 | 160.5 |
| 2002 | 173.3 | 159.9 |
| 2001 | 172.9 | 160.7 |
| 2000 | 169 | 158 |
| 1999 | 167.3 | 155.7 |
| 1998 | 170.7 | 157.4 |
| 1997 | 167.7 | 156.1 |
| 1996 | 163.3 | 152.2 |
| 1995 | 164.4 | 152.1 |
| 1994 | 162.7 | 150.8 |
| 1993 | 160.4 | 148.5 |
| 1992 | 155.4 | 144 |
| 1991 | 169.7 | 156 |
| 1990 | 172 | 158.3 |
| 1989 | 164.4 | 153.2 |
| 1988 | 161.5 | 151.2 |
| 1987 | 162.5 | 152 |
| 1986 | 163.8 | 153.4 |
| 1985 | 157.8 | 149 |
| 1984 | 159.8 | 148.3 |
| 1983 | 156.8 | 145.4 |
| 1982 | 164.2 | 151.4 |
| 1981 | 166.5 | 153.1 |
| 1980 | 162.2 | 150.9 |
| 1979 | 162.7 | 150.5 |
| 1978 | 161.1 | 149.1 |
| 1977 | 161 | 150.3 |
| 1976 | 160.1 | 147.5 |
| 1975 | 155.5 | 142.1 |
| 1974 | 160.5 | 148.6 |
| 1973 | 160.5 | 151.5 |
| 1972 | 158.8 | 147.6 |
| 1971 | 156.7 | 145.7 |
| 1970 | 155.1 | 145.6 |
| 1969 | 155.7 | 147 |
| 1968 | 155.9 | 146 |
| 1967 | 153.3 | 142.3 |
| 1966 | 156.7 | 145.7 |
| 1965 | 154.2 | 143.3 |
| 1964 | 150.7 | 141.6 |
| 1963 | 148.4 | 135.9 |
| 1962 | 157.9 | 148.9 |
| 1961 | 158.7 | 146.5 |
| 1960 | 160.3 | 149.8 |
| 1959 | 159 | 146.1 |
| 1958 | 157.5 | 149.1 |
| 1957 | 159.3 | 148.7 |
| 1956 | 154.5 | 144 |
| 1955 | 160.3 | 148.3 |
| 1954 | 159.7 | 148.7 |
| 1953 | 157.8 | 148.2 |
| 1952 | 159.1 | 148.1 |
| 1951 | 157.6 | 147.2 |
| 1950 | 158.6 | 147.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 玻利维亚 | 秘鲁 |
|---|---|---|
| 2015 | 177.7162.4–194.8 | 164.3148.5–174.9 |
| 2016 | 177.1155.9–190.7 | 163.4149.8–171.5 |
| 2017 | 179.6164.6–190.9 | 165.5155–175.2 |
| 2018 | 177.8162.1–196.3 | 165152.9–176.6 |
| 2019 | 180.1164.5–199.9 | 163.7151–176.8 |
| 2020 | 180.5162–200.6 | 165.3151.6–176.2 |
| 2021 | 185.6169.2–197.3 | 167.6154.7–177.3 |
| 2022 | 184.7165.7–200.5 | 169.5156.6–179.2 |
| 2023 | 181.3166.6–196.7 | 167.1156.3–178.4 |
| 2024 | 187.1168.2–202.1 | 170.6157.3–180.2 |
| 2025 | 183.5168.8–195.7 | 168.6155–179.9 |
| 2026 | 182.5164.8–198.1 | 167.8153.3–179.7 |
| 2027 | 182.7165–201.6 | 168.3155.2–178.8 |
| 2028 | 186.3169.6–200.3 | 169.8158.3–179.9 |
| 2029 | 192.5175.6–205.4 | 174162.8–181.7 |
| 2030 | 185.5161.7–204.2 | 168.1153.2–180.6 |
| 2031 | 189.2166.2–205.3 | 172.5156.2–183.7 |
| 2032 | 189.7173.8–209.6 | 173.2162.7–184.7 |
| 2033 | 188.2167.7–204.1 | 172156.5–181 |
| 2034 | 188172.2–207.8 | 171.6158.7–185.6 |
| 2035 | 186.7169.1–206.1 | 172159.3–184.1 |
| 2036 | 190.5173.5–205.2 | 172.5160.7–183.2 |
| 2037 | 195.3181.4–208.5 | 175.6166.3–185.3 |
| 2038 | 189.2174.7–207.8 | 175.8164.6–184.9 |
| 2039 | 192.7175.7–205.5 | 174.1162.7–185 |
| 2040 | 192.3176.8–204.2 | 175.4163.9–187 |
| 2041 | 193.9179–209 | 176.5165.3–186.1 |
| 2042 | 191.3171.9–207.6 | 176.3161.9–189.7 |
| 2043 | 191.2174.4–209.9 | 174.8163.7–185.3 |
| 2044 | 194.5179.1–209.4 | 175.3161.9–188.2 |
| 2045 | 194.4180.2–209 | 177.3165.5–186.9 |
| 2046 | 194.8181.4–213 | 180.3167.4–189.9 |
| 2047 | 196.5181.4–213.3 | 178.6167.5–189 |
| 2048 | 200.2184.6–212.8 | 181.2168.2–192.2 |
| 2049 | 199.8181.3–214.4 | 180.4168.1–189.8 |
| 2050 | 196.3173.9–210.9 | 178.6166.4–190.8 |
| 2051 | 198.5184.2–213.3 | 180.3168.5–190.6 |
| 2052 | 200.6185.7–214.8 | 181.5170.8–191.7 |
| 2053 | 198182.1–211 | 179.5168.3–190.8 |
| 2054 | 195.9179.8–211 | 180.1167.3–193.9 |
| 2055 | 201.2187.1–215 | 181.7171–194.8 |
| 2056 | 201.3181.5–216.1 | 182.2170–193 |
| 2057 | 200.6184.3–214.4 | 181.6168.7–193 |
| 2058 | 200.8182.8–216.5 | 183.1169.4–195.5 |
| 2059 | 203.2186.1–215.8 | 184.6169.7–195.3 |
| 2060 | 203.4186.2–219.7 | 185.6171.1–197.1 |
| 2061 | 197.9184–216.3 | 182.7169.9–195.8 |
| 2062 | 201.4186.2–219.1 | 184.3168.7–196.9 |
| 2063 | 201.5184.9–217 | 184.6170.8–196.9 |
| 2064 | 200.5184.6–216.1 | 184.4170.1–194.8 |
| 2065 | 204.9187.3–218.4 | 186.3173.3–196.9 |
| 2066 | 203.3186.8–218.1 | 185.6172.3–197.4 |
| 2067 | 203.6187.7–215.6 | 184.3169.4–198.2 |
| 2068 | 204.4188–218 | 186.1172.1–198.3 |
| 2069 | 203.8184.5–219 | 184.9169–198.3 |
| 2070 | 205.1188.3–221.4 | 185.4171.8–198.4 |
| 2071 | 203186.9–214.6 | 187.3173.3–198.7 |
| 2072 | 206186.6–221.5 | 188.1174.9–199.8 |
| 2073 | 206.5193.2–220.7 | 187.6175.9–202.1 |
| 2074 | 204.5184.1–219.5 | 186.4169.5–198.9 |
| 2075 | 203.8185.8–217.9 | 186.4170.6–198.3 |
| 2076 | 206.5190.1–220.4 | 188.8174.2–201 |
| 2077 | 209.1185.4–221.4 | 189.1174.7–201.8 |
| 2078 | 208.1192.7–222.9 | 188.4175.6–202.3 |
| 2079 | 204.7186.2–218.6 | 188172–199.7 |
| 2080 | 208.7192.4–221.1 | 189.1172.8–201.7 |
| 2081 | 208.1190.7–221.1 | 188.4173.6–201.8 |
| 2082 | 208.2189.7–220.1 | 188.8174.8–199.7 |
| 2083 | 209.3192.8–222.6 | 189.9175.7–204.7 |
| 2084 | 208.2193.3–223.1 | 190.7176.3–204.4 |
| 2085 | 210.4194–225 | 192176.2–204.6 |
| 2086 | 210.4189.7–225.4 | 189.1175.4–204 |
| 2087 | 207.9193.8–222 | 189.1175.9–203.6 |
| 2088 | 210.3193.4–225.2 | 191.1174.7–204.9 |
| 2089 | 208.2191.3–222.9 | 190.1174.3–203 |
| 2090 | 209.7195.5–225.2 | 190.4177–206.2 |
| 2091 | 209.7192.5–227.1 | 192.6174.4–205.9 |
| 2092 | 209.8192.1–223.9 | 192.6176.6–204.7 |
| 2093 | 209.4195.7–222.1 | 190.6176–206 |
| 2094 | 208.9194.6–222.7 | 192.3178.2–204.1 |
| 2095 | 210.3191.2–225.3 | 193.4176.5–207.3 |
| 2096 | 211.6193.9–225 | 191.4176.2–207.6 |
| 2097 | 208.6189.8–220.3 | 190.7174.9–202.2 |
| 2098 | 211.7196.2–226.5 | 192.9177.8–208.9 |
| 2099 | 211.2195.3–224 | 191.5176.8–205 |
| 2100 | 210.8195.8–226.8 | 192.3176.6–205.6 |
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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
玻利维亚与秘鲁对比
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军用
- 军费开支玻利维亚:2025 年为 GDP 的 1.22%秘鲁:2025 年为 GDP 的 0.81%
- 军费开支(美元)玻利维亚:2025 年为 US$5.7亿秘鲁:2025 年为 US$24.3亿
- 人均军费开支玻利维亚:2025 年为 US$55秘鲁:2025 年为 US$75
- 军费占政府支出比例玻利维亚:2025 年为 3.2%(占政府支出)秘鲁:2025 年为 3.7%(占政府支出)
- 武装部队人员玻利维亚:2020 年为 71,000 人秘鲁:2020 年为 158,000 人
- 国家实力玻利维亚:2022 年为 0.1%(占全球实力)秘鲁:2022 年为 0.28%(占全球实力)
- 武装部队占劳动力比例玻利维亚:2020 年为 1.21%(占劳动力)秘鲁:2020 年为 0.94%(占劳动力)
- 武器进口玻利维亚:2024 年为 0 TIV秘鲁:2025 年为 9000万 TIV