哥伦比亚与越南对比
哥伦比亚与越南:热带夜
2014 年热带夜:哥伦比亚为 279.9 夜,越南为 242.6 夜(CMIP6 气候模型中位数模拟)。 2014 年哥伦比亚的数值较高,高出 37.3 夜,是越南的 1.15 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 年哥伦比亚为 297.4 夜,越南为 282.7 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 哥伦比亚 | 越南 |
|---|---|---|
| 2014 | 279.9 | 242.6 |
| 2013 | 279.8 | 243.6 |
| 2012 | 280.7 | 242.4 |
| 2011 | 280 | 241.9 |
| 2010 | 279.1 | 240.9 |
| 2009 | 279.3 | 240 |
| 2008 | 278.4 | 238.7 |
| 2007 | 277.3 | 238 |
| 2006 | 277.5 | 239.1 |
| 2005 | 277.7 | 238.3 |
| 2004 | 278.2 | 241.8 |
| 2003 | 277.5 | 235.9 |
| 2002 | 277.3 | 236.3 |
| 2001 | 278 | 241.3 |
| 2000 | 276.2 | 237 |
| 1999 | 274.6 | 236 |
| 1998 | 275.2 | 236.8 |
| 1997 | 274.4 | 237.1 |
| 1996 | 271.2 | 231.4 |
| 1995 | 271.3 | 229.9 |
| 1994 | 270.4 | 231.2 |
| 1993 | 268 | 225.3 |
| 1992 | 264.7 | 221.9 |
| 1991 | 273.9 | 229.8 |
| 1990 | 275.6 | 233.1 |
| 1989 | 271.9 | 229.2 |
| 1988 | 270.3 | 231.7 |
| 1987 | 271.8 | 230.3 |
| 1986 | 271.4 | 230.9 |
| 1985 | 268.4 | 228 |
| 1984 | 268.2 | 230.2 |
| 1983 | 265.1 | 224.9 |
| 1982 | 269.2 | 227.5 |
| 1981 | 272.1 | 229.7 |
| 1980 | 270.2 | 228.1 |
| 1979 | 269.3 | 228.9 |
| 1978 | 268.3 | 227.5 |
| 1977 | 269.6 | 229 |
| 1976 | 266.1 | 225.8 |
| 1975 | 261.6 | 225.8 |
| 1974 | 266.6 | 225.7 |
| 1973 | 269.9 | 230.3 |
| 1972 | 266.6 | 225.6 |
| 1971 | 265.7 | 225.5 |
| 1970 | 265.4 | 226.1 |
| 1969 | 266 | 227 |
| 1968 | 264.6 | 227.1 |
| 1967 | 261.7 | 222.9 |
| 1966 | 263.7 | 226.8 |
| 1965 | 263.2 | 225.4 |
| 1964 | 260.3 | 222.6 |
| 1963 | 254.8 | 224.3 |
| 1962 | 266.7 | 227.8 |
| 1961 | 267 | 229.4 |
| 1960 | 268.6 | 228.5 |
| 1959 | 265.5 | 226.2 |
| 1958 | 268 | 230.9 |
| 1957 | 267.4 | 228.4 |
| 1956 | 263.3 | 228.7 |
| 1955 | 267.7 | 227.5 |
| 1954 | 267.2 | 226.3 |
| 1953 | 267.9 | 228.2 |
| 1952 | 268.1 | 228.5 |
| 1951 | 267.2 | 229.2 |
| 1950 | 266.5 | 228.9 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 哥伦比亚 | 越南 |
|---|---|---|
| 2015 | 280.4265.9–286.4 | 245.8228.2–261.9 |
| 2016 | 279.9267.9–285.6 | 243.7226.1–259.4 |
| 2017 | 281.7270.6–286.3 | 247229.6–260.7 |
| 2018 | 281.5271.8–286.3 | 248.3228.8–263.3 |
| 2019 | 281.1269.5–286.9 | 248.1229.2–262.8 |
| 2020 | 282.1270.6–287.9 | 248.8229.6–262.9 |
| 2021 | 283.2273.9–287.8 | 251.1233.1–266.7 |
| 2022 | 283.7273.6–288.5 | 252.4234.3–266.8 |
| 2023 | 282.6274.2–288.8 | 253.4235.4–266.6 |
| 2024 | 284.7274.7–289.8 | 251.3236.7–264.6 |
| 2025 | 283.5273.3–289.7 | 252.4234.1–266.2 |
| 2026 | 283.4272.7–289.7 | 252.8232.9–268.5 |
| 2027 | 283.9273.4–289.2 | 253.2237–268.8 |
| 2028 | 285275.1–290.7 | 254.3237.7–272 |
| 2029 | 285.8276–290.3 | 258.1238.5–273.7 |
| 2030 | 284.2273.4–289.8 | 256.4240.9–270.1 |
| 2031 | 285.8274.8–291.2 | 255.9241.2–270.9 |
| 2032 | 286.7278.3–292.6 | 257.4239.1–269.9 |
| 2033 | 285.7274.7–290.3 | 258.3241.7–273.2 |
| 2034 | 285275.8–292.8 | 258.8240.7–275.8 |
| 2035 | 285.9277.3–292 | 258.6242.5–275.4 |
| 2036 | 286276.9–291.6 | 258.3239.1–273.8 |
| 2037 | 287.5279.3–291.9 | 258.7242.4–272.4 |
| 2038 | 288279.7–292.4 | 263.4247.6–277.3 |
| 2039 | 287.6278.8–292.7 | 260.2243.7–275.9 |
| 2040 | 287.6279.3–294.5 | 260.1242.8–274.8 |
| 2041 | 288.2279.9–292.7 | 263.1245.9–279 |
| 2042 | 288.2278.3–295 | 263.6246.5–279 |
| 2043 | 287.7277.7–293.4 | 261.4245.5–279.6 |
| 2044 | 287.8278.5–295.1 | 263.2245.2–277.6 |
| 2045 | 288.8280.5–293.9 | 265.5249.6–281.4 |
| 2046 | 290.4281–295.5 | 264.9246.8–278.1 |
| 2047 | 289.9280.6–294.6 | 266.9250.4–282.9 |
| 2048 | 290.7281.4–296.8 | 268250.5–283.8 |
| 2049 | 290.9282–295.3 | 267.8251.2–284.8 |
| 2050 | 290.1280.8–296 | 268251.2–283.5 |
| 2051 | 290.6280.9–295.7 | 270.9254.3–285.4 |
| 2052 | 290.9281.9–296.7 | 268.3253.3–282.8 |
| 2053 | 290.5280.8–296.3 | 268.5250.1–283.2 |
| 2054 | 290.8281.3–297.2 | 269.1250.8–283.6 |
| 2055 | 291.1282.6–298 | 270249.8–284.2 |
| 2056 | 291.5281.5–298.6 | 271.7254.8–290.1 |
| 2057 | 291.5281.2–297.3 | 270253–285.7 |
| 2058 | 291.8281.7–298.9 | 270.7252.9–286.5 |
| 2059 | 292.8282–299.2 | 273257.6–286.6 |
| 2060 | 293.2283–300.1 | 275.7255.6–290.6 |
| 2061 | 292.2281.9–298.7 | 273.5254.6–289.5 |
| 2062 | 292.6282.4–299.7 | 271.4253.1–290.2 |
| 2063 | 293.6282.3–298.6 | 272.9252.7–288.1 |
| 2064 | 292.7282.9–299.1 | 273.8254.4–288.1 |
| 2065 | 293.8283.6–299.4 | 272255.8–286.3 |
| 2066 | 293.1283.4–299.8 | 271.8254.4–287.3 |
| 2067 | 292.9281.8–299.6 | 270.8252.1–287.6 |
| 2068 | 294.2282.5–300.6 | 275.6256.9–292.4 |
| 2069 | 292.9282.4–300 | 276.4258.5–292 |
| 2070 | 292.9282.8–300.8 | 274.6257.8–292.8 |
| 2071 | 294.2282.8–301.5 | 276.2255.2–294.1 |
| 2072 | 294.9285.1–301.9 | 277256.8–291.4 |
| 2073 | 294.9285.5–302.2 | 278.5262.7–293.4 |
| 2074 | 293.9283.3–300.3 | 277.6259.2–295.8 |
| 2075 | 294.1283.2–300.6 | 276.4258.7–294.4 |
| 2076 | 294.9284.6–302 | 279.2258.5–296.6 |
| 2077 | 295.3284.3–301.9 | 280264.9–294.7 |
| 2078 | 294.4285–302 | 278.4258.6–295.5 |
| 2079 | 294.8283.7–301.8 | 279.3263.4–293.6 |
| 2080 | 295.1283.4–302.8 | 280261.4–296.5 |
| 2081 | 295.1284.8–302.6 | 280.4261.2–297.9 |
| 2082 | 295.1284.9–301.3 | 280.9258.9–296 |
| 2083 | 295.4284.5–304.6 | 278.4261.6–295 |
| 2084 | 296285.1–304.4 | 279257.4–293.8 |
| 2085 | 296.6285–305 | 281.3265–297.8 |
| 2086 | 295.6284.8–303.6 | 282.3260.2–297.5 |
| 2087 | 295.3284.1–303.4 | 281.9261.3–300.7 |
| 2088 | 295.9284.5–305.5 | 283.1265.7–301.5 |
| 2089 | 295.6285–304.5 | 280.8261.2–301.6 |
| 2090 | 295.7285.8–304.6 | 280.5264.5–297.6 |
| 2091 | 297285–304.9 | 283.3264.3–298.9 |
| 2092 | 296.8286–305.7 | 281.1261.5–299.4 |
| 2093 | 296.3285.6–305.3 | 280.5263.4–296.1 |
| 2094 | 296.4285.8–305 | 283264.5–300 |
| 2095 | 297.9285.6–304.9 | 285.5264.5–302.9 |
| 2096 | 296285.9–307.5 | 281.8264.8–299.8 |
| 2097 | 296.5284.8–303.4 | 281.5263.3–299 |
| 2098 | 296.6286–307.3 | 282.5263.9–301.5 |
| 2099 | 297284.6–305.4 | 282.7265.1–298 |
| 2100 | 297.4286.5–305.2 | 282.7261–298.2 |
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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
哥伦比亚与越南对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支哥伦比亚:2025 年为 GDP 的 3.2%越南:2025 年为 GDP 的 2.15%
- 军费开支(美元)哥伦比亚:2025 年为 US$137亿越南:2025 年为 US$109亿
- 人均军费开支哥伦比亚:2025 年为 US$273越南:2025 年为 US$104
- 军费占政府支出比例哥伦比亚:2025 年为 9.3%(占政府支出)越南:2025 年为 9.9%(占政府支出)
- 武装部队人员哥伦比亚:2020 年为 428,000 人越南:2020 年为 522,000 人
- 国家实力哥伦比亚:2022 年为 0.57%(占全球实力)越南:2022 年为 1.11%(占全球实力)
- 武装部队占劳动力比例哥伦比亚:2020 年为 1.7%(占劳动力)越南:2020 年为 0.95%(占劳动力)
- 武器进口哥伦比亚:2025 年为 2200万 TIV越南:2025 年为 1.77亿 TIV
- 武器出口哥伦比亚:2020 年为 400万 TIV越南:2018 年为 1000万 TIV