玻利维亚与巴拉圭对比
玻利维亚与巴拉圭:热带夜
2014 年热带夜:玻利维亚为 179.5 夜,巴拉圭为 202.9 夜(CMIP6 气候模型中位数模拟)。 2014 年巴拉圭的数值较高,高出 23.4 夜,是玻利维亚的 1.13 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,巴拉圭的数值都更高。
- 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,巴拉圭为 250.2 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 玻利维亚 | 巴拉圭 |
|---|---|---|
| 2014 | 179.5 | 202.9 |
| 2013 | 176.3 | 197.2 |
| 2012 | 177 | 200.5 |
| 2011 | 177.2 | 198.1 |
| 2010 | 176.7 | 201.6 |
| 2009 | 175.9 | 200.4 |
| 2008 | 174.1 | 196.1 |
| 2007 | 169 | 186.1 |
| 2006 | 169.8 | 188.5 |
| 2005 | 170.5 | 198.3 |
| 2004 | 175.5 | 194.8 |
| 2003 | 170.6 | 189.8 |
| 2002 | 173.3 | 194.4 |
| 2001 | 172.9 | 191.4 |
| 2000 | 169 | 195.8 |
| 1999 | 167.3 | 188.8 |
| 1998 | 170.7 | 195.1 |
| 1997 | 167.7 | 190.7 |
| 1996 | 163.3 | 183.9 |
| 1995 | 164.4 | 182.1 |
| 1994 | 162.7 | 177.4 |
| 1993 | 160.4 | 180.8 |
| 1992 | 155.4 | 172.7 |
| 1991 | 169.7 | 183.7 |
| 1990 | 172 | 189.6 |
| 1989 | 164.4 | 185.4 |
| 1988 | 161.5 | 181.8 |
| 1987 | 162.5 | 179.7 |
| 1986 | 163.8 | 184.5 |
| 1985 | 157.8 | 176.9 |
| 1984 | 159.8 | 177.7 |
| 1983 | 156.8 | 180.1 |
| 1982 | 164.2 | 179.6 |
| 1981 | 166.5 | 185 |
| 1980 | 162.2 | 184.1 |
| 1979 | 162.7 | 185.9 |
| 1978 | 161.1 | 178.1 |
| 1977 | 161 | 179 |
| 1976 | 160.1 | 178.3 |
| 1975 | 155.5 | 174 |
| 1974 | 160.5 | 176.5 |
| 1973 | 160.5 | 176.4 |
| 1972 | 158.8 | 179.4 |
| 1971 | 156.7 | 173.8 |
| 1970 | 155.1 | 173.6 |
| 1969 | 155.7 | 171.7 |
| 1968 | 155.9 | 174.8 |
| 1967 | 153.3 | 169.8 |
| 1966 | 156.7 | 173 |
| 1965 | 154.2 | 168.3 |
| 1964 | 150.7 | 164.7 |
| 1963 | 148.4 | 164.3 |
| 1962 | 157.9 | 175.9 |
| 1961 | 158.7 | 176.1 |
| 1960 | 160.3 | 175.1 |
| 1959 | 159 | 176.2 |
| 1958 | 157.5 | 170.6 |
| 1957 | 159.3 | 176.3 |
| 1956 | 154.5 | 170.4 |
| 1955 | 160.3 | 176.1 |
| 1954 | 159.7 | 175.2 |
| 1953 | 157.8 | 175.6 |
| 1952 | 159.1 | 180.5 |
| 1951 | 157.6 | 174.9 |
| 1950 | 158.6 | 174.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 玻利维亚 | 巴拉圭 |
|---|---|---|
| 2015 | 177.7162.4–194.8 | 203.5180.7–228.9 |
| 2016 | 177.1155.9–190.7 | 202.2171.5–224.3 |
| 2017 | 179.6164.6–190.9 | 201.3180.6–222.8 |
| 2018 | 177.8162.1–196.3 | 196.9170.8–225.1 |
| 2019 | 180.1164.5–199.9 | 202.2175.2–227 |
| 2020 | 180.5162–200.6 | 204.2179.6–236.7 |
| 2021 | 185.6169.2–197.3 | 211186.7–234.8 |
| 2022 | 184.7165.7–200.5 | 211.3175.3–237.2 |
| 2023 | 181.3166.6–196.7 | 207.4184.7–225.6 |
| 2024 | 187.1168.2–202.1 | 213.3188.8–236.5 |
| 2025 | 183.5168.8–195.7 | 205.4186.1–232.5 |
| 2026 | 182.5164.8–198.1 | 209.4178.8–228.7 |
| 2027 | 182.7165–201.6 | 209185.2–237.4 |
| 2028 | 186.3169.6–200.3 | 210.8179.1–233.5 |
| 2029 | 192.5175.6–205.4 | 218.4188.8–243.2 |
| 2030 | 185.5161.7–204.2 | 214.3179.2–245.6 |
| 2031 | 189.2166.2–205.3 | 210184.3–238.2 |
| 2032 | 189.7173.8–209.6 | 218.4187.5–246 |
| 2033 | 188.2167.7–204.1 | 211.7186.3–234.1 |
| 2034 | 188172.2–207.8 | 216.7190.9–239.5 |
| 2035 | 186.7169.1–206.1 | 212.1185.1–244.7 |
| 2036 | 190.5173.5–205.2 | 216190.9–238.6 |
| 2037 | 195.3181.4–208.5 | 222.7201.4–242 |
| 2038 | 189.2174.7–207.8 | 212.9191.8–238.7 |
| 2039 | 192.7175.7–205.5 | 219.3196.4–243.2 |
| 2040 | 192.3176.8–204.2 | 221.8197.3–243.4 |
| 2041 | 193.9179–209 | 225.9200.7–245.5 |
| 2042 | 191.3171.9–207.6 | 218.4185.8–239.7 |
| 2043 | 191.2174.4–209.9 | 219.9194.4–247.3 |
| 2044 | 194.5179.1–209.4 | 222.9198.5–246.5 |
| 2045 | 194.4180.2–209 | 225.4201.2–249 |
| 2046 | 194.8181.4–213 | 222.3195–248.4 |
| 2047 | 196.5181.4–213.3 | 225.3203.5–250.5 |
| 2048 | 200.2184.6–212.8 | 233.4214.5–252.3 |
| 2049 | 199.8181.3–214.4 | 230.7205.1–253.8 |
| 2050 | 196.3173.9–210.9 | 224.3193.5–249 |
| 2051 | 198.5184.2–213.3 | 232.3210.5–252.7 |
| 2052 | 200.6185.7–214.8 | 232.8205.9–257.6 |
| 2053 | 198182.1–211 | 229.9205.2–255.9 |
| 2054 | 195.9179.8–211 | 227.4204.3–253.3 |
| 2055 | 201.2187.1–215 | 232.6202.1–255.1 |
| 2056 | 201.3181.5–216.1 | 232.5203.6–257.8 |
| 2057 | 200.6184.3–214.4 | 234.8211.3–255.1 |
| 2058 | 200.8182.8–216.5 | 232.9202–260.8 |
| 2059 | 203.2186.1–215.8 | 237.9217.3–255.2 |
| 2060 | 203.4186.2–219.7 | 234.2205.8–258.5 |
| 2061 | 197.9184–216.3 | 230.7207.6–258.3 |
| 2062 | 201.4186.2–219.1 | 234.6217.3–262.8 |
| 2063 | 201.5184.9–217 | 237.1211.2–255.7 |
| 2064 | 200.5184.6–216.1 | 234.6207–259.5 |
| 2065 | 204.9187.3–218.4 | 236.5216.7–260.5 |
| 2066 | 203.3186.8–218.1 | 237.2208.8–253.5 |
| 2067 | 203.6187.7–215.6 | 235.4214.5–254.3 |
| 2068 | 204.4188–218 | 235.6210.7–265.5 |
| 2069 | 203.8184.5–219 | 235.9207.8–265.8 |
| 2070 | 205.1188.3–221.4 | 242.2216.6–265.3 |
| 2071 | 203186.9–214.6 | 239.8204.9–260.7 |
| 2072 | 206186.6–221.5 | 239.9212.6–266.9 |
| 2073 | 206.5193.2–220.7 | 242.1214.2–262 |
| 2074 | 204.5184.1–219.5 | 242.1214.2–267.1 |
| 2075 | 203.8185.8–217.9 | 241.8219.2–259.7 |
| 2076 | 206.5190.1–220.4 | 243.8221.7–267.7 |
| 2077 | 209.1185.4–221.4 | 244.9208.1–264.7 |
| 2078 | 208.1192.7–222.9 | 245.9222–265.6 |
| 2079 | 204.7186.2–218.6 | 237.4218–266.2 |
| 2080 | 208.7192.4–221.1 | 243.2217.9–268.8 |
| 2081 | 208.1190.7–221.1 | 242.6221.4–259.8 |
| 2082 | 208.2189.7–220.1 | 244.9214.1–264.3 |
| 2083 | 209.3192.8–222.6 | 241.5212.1–266.3 |
| 2084 | 208.2193.3–223.1 | 244.6219.4–269.9 |
| 2085 | 210.4194–225 | 247.6216.5–271.8 |
| 2086 | 210.4189.7–225.4 | 249220.5–274.6 |
| 2087 | 207.9193.8–222 | 243.9217.8–265.9 |
| 2088 | 210.3193.4–225.2 | 249225.7–274.3 |
| 2089 | 208.2191.3–222.9 | 241.8216.4–271.4 |
| 2090 | 209.7195.5–225.2 | 249.4226.7–273.9 |
| 2091 | 209.7192.5–227.1 | 249.3225.7–271.9 |
| 2092 | 209.8192.1–223.9 | 248.4225.1–268.1 |
| 2093 | 209.4195.7–222.1 | 245.2217.9–268.1 |
| 2094 | 208.9194.6–222.7 | 243.2219–266.2 |
| 2095 | 210.3191.2–225.3 | 247.3217.5–268.2 |
| 2096 | 211.6193.9–225 | 245.1222.1–273.7 |
| 2097 | 208.6189.8–220.3 | 247.9221.8–271.9 |
| 2098 | 211.7196.2–226.5 | 251.3228.7–274.7 |
| 2099 | 211.2195.3–224 | 246.4221.2–271.2 |
| 2100 | 210.8195.8–226.8 | 250.2222.5–281.6 |
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
玻利维亚与巴拉圭对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支玻利维亚:2025 年为 GDP 的 1.22%巴拉圭:2025 年为 GDP 的 0.88%
- 军费开支(美元)玻利维亚:2025 年为 US$5.7亿巴拉圭:2025 年为 US$4.06亿
- 人均军费开支玻利维亚:2025 年为 US$55巴拉圭:2025 年为 US$60
- 军费占政府支出比例玻利维亚:2025 年为 3.2%(占政府支出)巴拉圭:2025 年为 4.3%(占政府支出)
- 武装部队人员玻利维亚:2020 年为 71,000 人巴拉圭:2020 年为 29,000 人
- 国家实力玻利维亚:2022 年为 0.1%(占全球实力)巴拉圭:2022 年为 0.04%(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)巴拉圭:2020 年为 0.88%(占劳动力)
- 武器进口玻利维亚:2024 年为 0 TIV巴拉圭:2025 年为 2400万 TIV