玻利维亚与哥伦比亚对比
玻利维亚与哥伦比亚:热带夜
2014 年热带夜:玻利维亚为 179.5 夜,哥伦比亚为 279.9 夜(CMIP6 气候模型中位数模拟)。 2014 年哥伦比亚的数值较高,高出 100.4 夜,是玻利维亚的 1.56 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,哥伦比亚的数值都更高。
- 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,哥伦比亚为 297.4 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 玻利维亚 | 哥伦比亚 |
|---|---|---|
| 2014 | 179.5 | 279.9 |
| 2013 | 176.3 | 279.8 |
| 2012 | 177 | 280.7 |
| 2011 | 177.2 | 280 |
| 2010 | 176.7 | 279.1 |
| 2009 | 175.9 | 279.3 |
| 2008 | 174.1 | 278.4 |
| 2007 | 169 | 277.3 |
| 2006 | 169.8 | 277.5 |
| 2005 | 170.5 | 277.7 |
| 2004 | 175.5 | 278.2 |
| 2003 | 170.6 | 277.5 |
| 2002 | 173.3 | 277.3 |
| 2001 | 172.9 | 278 |
| 2000 | 169 | 276.2 |
| 1999 | 167.3 | 274.6 |
| 1998 | 170.7 | 275.2 |
| 1997 | 167.7 | 274.4 |
| 1996 | 163.3 | 271.2 |
| 1995 | 164.4 | 271.3 |
| 1994 | 162.7 | 270.4 |
| 1993 | 160.4 | 268 |
| 1992 | 155.4 | 264.7 |
| 1991 | 169.7 | 273.9 |
| 1990 | 172 | 275.6 |
| 1989 | 164.4 | 271.9 |
| 1988 | 161.5 | 270.3 |
| 1987 | 162.5 | 271.8 |
| 1986 | 163.8 | 271.4 |
| 1985 | 157.8 | 268.4 |
| 1984 | 159.8 | 268.2 |
| 1983 | 156.8 | 265.1 |
| 1982 | 164.2 | 269.2 |
| 1981 | 166.5 | 272.1 |
| 1980 | 162.2 | 270.2 |
| 1979 | 162.7 | 269.3 |
| 1978 | 161.1 | 268.3 |
| 1977 | 161 | 269.6 |
| 1976 | 160.1 | 266.1 |
| 1975 | 155.5 | 261.6 |
| 1974 | 160.5 | 266.6 |
| 1973 | 160.5 | 269.9 |
| 1972 | 158.8 | 266.6 |
| 1971 | 156.7 | 265.7 |
| 1970 | 155.1 | 265.4 |
| 1969 | 155.7 | 266 |
| 1968 | 155.9 | 264.6 |
| 1967 | 153.3 | 261.7 |
| 1966 | 156.7 | 263.7 |
| 1965 | 154.2 | 263.2 |
| 1964 | 150.7 | 260.3 |
| 1963 | 148.4 | 254.8 |
| 1962 | 157.9 | 266.7 |
| 1961 | 158.7 | 267 |
| 1960 | 160.3 | 268.6 |
| 1959 | 159 | 265.5 |
| 1958 | 157.5 | 268 |
| 1957 | 159.3 | 267.4 |
| 1956 | 154.5 | 263.3 |
| 1955 | 160.3 | 267.7 |
| 1954 | 159.7 | 267.2 |
| 1953 | 157.8 | 267.9 |
| 1952 | 159.1 | 268.1 |
| 1951 | 157.6 | 267.2 |
| 1950 | 158.6 | 266.5 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 玻利维亚 | 哥伦比亚 |
|---|---|---|
| 2015 | 177.7162.4–194.8 | 280.4265.9–286.4 |
| 2016 | 177.1155.9–190.7 | 279.9267.9–285.6 |
| 2017 | 179.6164.6–190.9 | 281.7270.6–286.3 |
| 2018 | 177.8162.1–196.3 | 281.5271.8–286.3 |
| 2019 | 180.1164.5–199.9 | 281.1269.5–286.9 |
| 2020 | 180.5162–200.6 | 282.1270.6–287.9 |
| 2021 | 185.6169.2–197.3 | 283.2273.9–287.8 |
| 2022 | 184.7165.7–200.5 | 283.7273.6–288.5 |
| 2023 | 181.3166.6–196.7 | 282.6274.2–288.8 |
| 2024 | 187.1168.2–202.1 | 284.7274.7–289.8 |
| 2025 | 183.5168.8–195.7 | 283.5273.3–289.7 |
| 2026 | 182.5164.8–198.1 | 283.4272.7–289.7 |
| 2027 | 182.7165–201.6 | 283.9273.4–289.2 |
| 2028 | 186.3169.6–200.3 | 285275.1–290.7 |
| 2029 | 192.5175.6–205.4 | 285.8276–290.3 |
| 2030 | 185.5161.7–204.2 | 284.2273.4–289.8 |
| 2031 | 189.2166.2–205.3 | 285.8274.8–291.2 |
| 2032 | 189.7173.8–209.6 | 286.7278.3–292.6 |
| 2033 | 188.2167.7–204.1 | 285.7274.7–290.3 |
| 2034 | 188172.2–207.8 | 285275.8–292.8 |
| 2035 | 186.7169.1–206.1 | 285.9277.3–292 |
| 2036 | 190.5173.5–205.2 | 286276.9–291.6 |
| 2037 | 195.3181.4–208.5 | 287.5279.3–291.9 |
| 2038 | 189.2174.7–207.8 | 288279.7–292.4 |
| 2039 | 192.7175.7–205.5 | 287.6278.8–292.7 |
| 2040 | 192.3176.8–204.2 | 287.6279.3–294.5 |
| 2041 | 193.9179–209 | 288.2279.9–292.7 |
| 2042 | 191.3171.9–207.6 | 288.2278.3–295 |
| 2043 | 191.2174.4–209.9 | 287.7277.7–293.4 |
| 2044 | 194.5179.1–209.4 | 287.8278.5–295.1 |
| 2045 | 194.4180.2–209 | 288.8280.5–293.9 |
| 2046 | 194.8181.4–213 | 290.4281–295.5 |
| 2047 | 196.5181.4–213.3 | 289.9280.6–294.6 |
| 2048 | 200.2184.6–212.8 | 290.7281.4–296.8 |
| 2049 | 199.8181.3–214.4 | 290.9282–295.3 |
| 2050 | 196.3173.9–210.9 | 290.1280.8–296 |
| 2051 | 198.5184.2–213.3 | 290.6280.9–295.7 |
| 2052 | 200.6185.7–214.8 | 290.9281.9–296.7 |
| 2053 | 198182.1–211 | 290.5280.8–296.3 |
| 2054 | 195.9179.8–211 | 290.8281.3–297.2 |
| 2055 | 201.2187.1–215 | 291.1282.6–298 |
| 2056 | 201.3181.5–216.1 | 291.5281.5–298.6 |
| 2057 | 200.6184.3–214.4 | 291.5281.2–297.3 |
| 2058 | 200.8182.8–216.5 | 291.8281.7–298.9 |
| 2059 | 203.2186.1–215.8 | 292.8282–299.2 |
| 2060 | 203.4186.2–219.7 | 293.2283–300.1 |
| 2061 | 197.9184–216.3 | 292.2281.9–298.7 |
| 2062 | 201.4186.2–219.1 | 292.6282.4–299.7 |
| 2063 | 201.5184.9–217 | 293.6282.3–298.6 |
| 2064 | 200.5184.6–216.1 | 292.7282.9–299.1 |
| 2065 | 204.9187.3–218.4 | 293.8283.6–299.4 |
| 2066 | 203.3186.8–218.1 | 293.1283.4–299.8 |
| 2067 | 203.6187.7–215.6 | 292.9281.8–299.6 |
| 2068 | 204.4188–218 | 294.2282.5–300.6 |
| 2069 | 203.8184.5–219 | 292.9282.4–300 |
| 2070 | 205.1188.3–221.4 | 292.9282.8–300.8 |
| 2071 | 203186.9–214.6 | 294.2282.8–301.5 |
| 2072 | 206186.6–221.5 | 294.9285.1–301.9 |
| 2073 | 206.5193.2–220.7 | 294.9285.5–302.2 |
| 2074 | 204.5184.1–219.5 | 293.9283.3–300.3 |
| 2075 | 203.8185.8–217.9 | 294.1283.2–300.6 |
| 2076 | 206.5190.1–220.4 | 294.9284.6–302 |
| 2077 | 209.1185.4–221.4 | 295.3284.3–301.9 |
| 2078 | 208.1192.7–222.9 | 294.4285–302 |
| 2079 | 204.7186.2–218.6 | 294.8283.7–301.8 |
| 2080 | 208.7192.4–221.1 | 295.1283.4–302.8 |
| 2081 | 208.1190.7–221.1 | 295.1284.8–302.6 |
| 2082 | 208.2189.7–220.1 | 295.1284.9–301.3 |
| 2083 | 209.3192.8–222.6 | 295.4284.5–304.6 |
| 2084 | 208.2193.3–223.1 | 296285.1–304.4 |
| 2085 | 210.4194–225 | 296.6285–305 |
| 2086 | 210.4189.7–225.4 | 295.6284.8–303.6 |
| 2087 | 207.9193.8–222 | 295.3284.1–303.4 |
| 2088 | 210.3193.4–225.2 | 295.9284.5–305.5 |
| 2089 | 208.2191.3–222.9 | 295.6285–304.5 |
| 2090 | 209.7195.5–225.2 | 295.7285.8–304.6 |
| 2091 | 209.7192.5–227.1 | 297285–304.9 |
| 2092 | 209.8192.1–223.9 | 296.8286–305.7 |
| 2093 | 209.4195.7–222.1 | 296.3285.6–305.3 |
| 2094 | 208.9194.6–222.7 | 296.4285.8–305 |
| 2095 | 210.3191.2–225.3 | 297.9285.6–304.9 |
| 2096 | 211.6193.9–225 | 296285.9–307.5 |
| 2097 | 208.6189.8–220.3 | 296.5284.8–303.4 |
| 2098 | 211.7196.2–226.5 | 296.6286–307.3 |
| 2099 | 211.2195.3–224 | 297284.6–305.4 |
| 2100 | 210.8195.8–226.8 | 297.4286.5–305.2 |
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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
玻利维亚与哥伦比亚对比
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军用
- 军费开支玻利维亚:2025 年为 GDP 的 1.22%哥伦比亚:2025 年为 GDP 的 3.2%
- 军费开支(美元)玻利维亚:2025 年为 US$5.7亿哥伦比亚:2025 年为 US$137亿
- 人均军费开支玻利维亚:2025 年为 US$55哥伦比亚:2025 年为 US$273
- 军费占政府支出比例玻利维亚:2025 年为 3.2%(占政府支出)哥伦比亚:2025 年为 9.3%(占政府支出)
- 武装部队人员玻利维亚:2020 年为 71,000 人哥伦比亚:2020 年为 428,000 人
- 国家实力玻利维亚:2022 年为 0.1%(占全球实力)哥伦比亚:2022 年为 0.57%(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)哥伦比亚:2020 年为 1.7%(占劳动力)
- 武器进口玻利维亚:2024 年为 0 TIV哥伦比亚:2025 年为 2200万 TIV