哥伦比亚与肯尼亚对比
哥伦比亚与肯尼亚:热带夜
2014 年热带夜:哥伦比亚为 279.9 夜,肯尼亚为 245.6 夜(CMIP6 气候模型中位数模拟)。 2014 年哥伦比亚的数值较高,高出 34.3 夜,是肯尼亚的 1.14 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,肯尼亚为 277 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 哥伦比亚 | 肯尼亚 |
|---|---|---|
| 2014 | 279.9 | 245.6 |
| 2013 | 279.8 | 245.4 |
| 2012 | 280.7 | 244.7 |
| 2011 | 280 | 245 |
| 2010 | 279.1 | 243.8 |
| 2009 | 279.3 | 242.3 |
| 2008 | 278.4 | 240.3 |
| 2007 | 277.3 | 240.9 |
| 2006 | 277.5 | 241.5 |
| 2005 | 277.7 | 241.2 |
| 2004 | 278.2 | 241.8 |
| 2003 | 277.5 | 240.8 |
| 2002 | 277.3 | 240.7 |
| 2001 | 278 | 242 |
| 2000 | 276.2 | 239.5 |
| 1999 | 274.6 | 237.8 |
| 1998 | 275.2 | 239.2 |
| 1997 | 274.4 | 236.9 |
| 1996 | 271.2 | 234.2 |
| 1995 | 271.3 | 232.9 |
| 1994 | 270.4 | 231.9 |
| 1993 | 268 | 227.4 |
| 1992 | 264.7 | 224.8 |
| 1991 | 273.9 | 233.8 |
| 1990 | 275.6 | 236.4 |
| 1989 | 271.9 | 234.5 |
| 1988 | 270.3 | 233.1 |
| 1987 | 271.8 | 232.6 |
| 1986 | 271.4 | 233 |
| 1985 | 268.4 | 228.7 |
| 1984 | 268.2 | 230.2 |
| 1983 | 265.1 | 226.7 |
| 1982 | 269.2 | 230.6 |
| 1981 | 272.1 | 232.9 |
| 1980 | 270.2 | 231.3 |
| 1979 | 269.3 | 229.6 |
| 1978 | 268.3 | 228.7 |
| 1977 | 269.6 | 229.9 |
| 1976 | 266.1 | 227.8 |
| 1975 | 261.6 | 225.9 |
| 1974 | 266.6 | 230.5 |
| 1973 | 269.9 | 230.4 |
| 1972 | 266.6 | 228.7 |
| 1971 | 265.7 | 226 |
| 1970 | 265.4 | 226.3 |
| 1969 | 266 | 225.9 |
| 1968 | 264.6 | 222.9 |
| 1967 | 261.7 | 224 |
| 1966 | 263.7 | 225.2 |
| 1965 | 263.2 | 224.2 |
| 1964 | 260.3 | 221.8 |
| 1963 | 254.8 | 220.2 |
| 1962 | 266.7 | 227.2 |
| 1961 | 267 | 228.3 |
| 1960 | 268.6 | 228.8 |
| 1959 | 265.5 | 228.3 |
| 1958 | 268 | 229.1 |
| 1957 | 267.4 | 228 |
| 1956 | 263.3 | 225.5 |
| 1955 | 267.7 | 228.7 |
| 1954 | 267.2 | 227.4 |
| 1953 | 267.9 | 227.6 |
| 1952 | 268.1 | 228.5 |
| 1951 | 267.2 | 228.3 |
| 1950 | 266.5 | 226.3 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 哥伦比亚 | 肯尼亚 |
|---|---|---|
| 2015 | 280.4265.9–286.4 | 246.9232.3–256.1 |
| 2016 | 279.9267.9–285.6 | 244.9230.1–255 |
| 2017 | 281.7270.6–286.3 | 248.1233.1–257.7 |
| 2018 | 281.5271.8–286.3 | 248.7237–257.4 |
| 2019 | 281.1269.5–286.9 | 247.1234.8–256.7 |
| 2020 | 282.1270.6–287.9 | 248.6233.2–259.2 |
| 2021 | 283.2273.9–287.8 | 249.5236.3–258.1 |
| 2022 | 283.7273.6–288.5 | 251.5239.7–259.5 |
| 2023 | 282.6274.2–288.8 | 251.8239–260.8 |
| 2024 | 284.7274.7–289.8 | 254.2239.1–263 |
| 2025 | 283.5273.3–289.7 | 251.5238.1–261.8 |
| 2026 | 283.4272.7–289.7 | 252.2237.2–263.3 |
| 2027 | 283.9273.4–289.2 | 252.8238.4–263.8 |
| 2028 | 285275.1–290.7 | 254.9241.9–264.2 |
| 2029 | 285.8276–290.3 | 256243.4–264.6 |
| 2030 | 284.2273.4–289.8 | 253.6240.6–263.1 |
| 2031 | 285.8274.8–291.2 | 256244.7–264.4 |
| 2032 | 286.7278.3–292.6 | 257243.8–267.1 |
| 2033 | 285.7274.7–290.3 | 256241.8–265.9 |
| 2034 | 285275.8–292.8 | 256.2241.2–267.9 |
| 2035 | 285.9277.3–292 | 256.7243.3–266.7 |
| 2036 | 286276.9–291.6 | 256.2242.4–266.7 |
| 2037 | 287.5279.3–291.9 | 258.7245.9–268.4 |
| 2038 | 288279.7–292.4 | 260.3244.5–268.9 |
| 2039 | 287.6278.8–292.7 | 259244.4–268 |
| 2040 | 287.6279.3–294.5 | 258.3246.2–269.8 |
| 2041 | 288.2279.9–292.7 | 260.7244.8–271.2 |
| 2042 | 288.2278.3–295 | 260.3246.5–272.7 |
| 2043 | 287.7277.7–293.4 | 259246.6–270.5 |
| 2044 | 287.8278.5–295.1 | 261.2248.8–270.9 |
| 2045 | 288.8280.5–293.9 | 261.8248.7–272.9 |
| 2046 | 290.4281–295.5 | 264.8249.6–275.3 |
| 2047 | 289.9280.6–294.6 | 264.4249.8–275.3 |
| 2048 | 290.7281.4–296.8 | 264.2252.3–274.9 |
| 2049 | 290.9282–295.3 | 265.2252.8–275.6 |
| 2050 | 290.1280.8–296 | 263.9249.8–275.1 |
| 2051 | 290.6280.9–295.7 | 265.4252.1–275.1 |
| 2052 | 290.9281.9–296.7 | 266.3252.6–276.2 |
| 2053 | 290.5280.8–296.3 | 265.2251–275.4 |
| 2054 | 290.8281.3–297.2 | 265.2250.2–277.2 |
| 2055 | 291.1282.6–298 | 266.8251.6–277.6 |
| 2056 | 291.5281.5–298.6 | 266.2251.2–277.8 |
| 2057 | 291.5281.2–297.3 | 266.8253–278 |
| 2058 | 291.8281.7–298.9 | 266.7251.5–277.9 |
| 2059 | 292.8282–299.2 | 269.8254.7–280.5 |
| 2060 | 293.2283–300.1 | 271.1253.9–280.7 |
| 2061 | 292.2281.9–298.7 | 267.5253.9–281.7 |
| 2062 | 292.6282.4–299.7 | 268.1254–281.2 |
| 2063 | 293.6282.3–298.6 | 268.9255–280.1 |
| 2064 | 292.7282.9–299.1 | 270254.1–279.8 |
| 2065 | 293.8283.6–299.4 | 269.4255.8–282.3 |
| 2066 | 293.1283.4–299.8 | 270.6258.1–281 |
| 2067 | 292.9281.8–299.6 | 270.7256.1–283 |
| 2068 | 294.2282.5–300.6 | 270.2256–283 |
| 2069 | 292.9282.4–300 | 269.8256.1–283.3 |
| 2070 | 292.9282.8–300.8 | 270.1255.8–282.6 |
| 2071 | 294.2282.8–301.5 | 271.9257.9–284.4 |
| 2072 | 294.9285.1–301.9 | 273.5260.3–283.8 |
| 2073 | 294.9285.5–302.2 | 273.1259.9–285.4 |
| 2074 | 293.9283.3–300.3 | 271.9257.5–285.4 |
| 2075 | 294.1283.2–300.6 | 271.1256.5–284.7 |
| 2076 | 294.9284.6–302 | 274.1258.6–285.8 |
| 2077 | 295.3284.3–301.9 | 273.4259–286.6 |
| 2078 | 294.4285–302 | 273.1260–284.4 |
| 2079 | 294.8283.7–301.8 | 273.3258.7–286.6 |
| 2080 | 295.1283.4–302.8 | 275.5259.4–286.9 |
| 2081 | 295.1284.8–302.6 | 274.7259.8–285.6 |
| 2082 | 295.1284.9–301.3 | 274.8261.3–286.4 |
| 2083 | 295.4284.5–304.6 | 274259.6–289.3 |
| 2084 | 296285.1–304.4 | 276.8259–288.8 |
| 2085 | 296.6285–305 | 276.2261.5–289.1 |
| 2086 | 295.6284.8–303.6 | 275.1260–289.1 |
| 2087 | 295.3284.1–303.4 | 276.2260.3–288.5 |
| 2088 | 295.9284.5–305.5 | 276.8261.6–289.7 |
| 2089 | 295.6285–304.5 | 275.9260.3–288.8 |
| 2090 | 295.7285.8–304.6 | 275.3260.5–290.5 |
| 2091 | 297285–304.9 | 277.7260.4–290.9 |
| 2092 | 296.8286–305.7 | 276.2261.2–290.7 |
| 2093 | 296.3285.6–305.3 | 276.9262–290.1 |
| 2094 | 296.4285.8–305 | 277262.8–288.9 |
| 2095 | 297.9285.6–304.9 | 278.4262.3–290.4 |
| 2096 | 296285.9–307.5 | 277.6260.5–292 |
| 2097 | 296.5284.8–303.4 | 277261–290.2 |
| 2098 | 296.6286–307.3 | 277.6262.3–291.5 |
| 2099 | 297284.6–305.4 | 277.9260.8–292.4 |
| 2100 | 297.4286.5–305.2 | 277261.8–290.4 |
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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
哥伦比亚与肯尼亚对比
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%肯尼亚:2025 年为 GDP 的 1.07%
- 军费开支(美元)哥伦比亚:2025 年为 US$137亿肯尼亚:2025 年为 US$13.6亿
- 人均军费开支哥伦比亚:2025 年为 US$273肯尼亚:2025 年为 US$26
- 军费占政府支出比例哥伦比亚:2025 年为 9.3%(占政府支出)肯尼亚:2025 年为 4.6%(占政府支出)
- 武装部队人员哥伦比亚:2020 年为 428,000 人肯尼亚:2020 年为 24,000 人
- 国家实力哥伦比亚:2022 年为 0.57%(占全球实力)肯尼亚:2022 年为 0.23%(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)肯尼亚:2020 年为 0.11%(占劳动力)
- 武器进口哥伦比亚:2025 年为 2200万 TIV肯尼亚:2025 年为 1.17亿 TIV
- 武器出口哥伦比亚:2020 年为 400万 TIV肯尼亚:1993 年为 200万 TIV