哥伦比亚与坦桑尼亚对比
哥伦比亚与坦桑尼亚:热带夜
2014 年热带夜:哥伦比亚为 279.9 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年哥伦比亚的数值较高,高出 173.6 夜,是坦桑尼亚的 2.63 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,坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 哥伦比亚 | 坦桑尼亚 |
|---|---|---|
| 2014 | 279.9 | 106.3 |
| 2013 | 279.8 | 105.5 |
| 2012 | 280.7 | 108.4 |
| 2011 | 280 | 109 |
| 2010 | 279.1 | 103.9 |
| 2009 | 279.3 | 101.1 |
| 2008 | 278.4 | 100.3 |
| 2007 | 277.3 | 99.5 |
| 2006 | 277.5 | 100.4 |
| 2005 | 277.7 | 98.7 |
| 2004 | 278.2 | 100.4 |
| 2003 | 277.5 | 99.6 |
| 2002 | 277.3 | 98.4 |
| 2001 | 278 | 101.5 |
| 2000 | 276.2 | 94.9 |
| 1999 | 274.6 | 94.2 |
| 1998 | 275.2 | 96.8 |
| 1997 | 274.4 | 93.5 |
| 1996 | 271.2 | 89.6 |
| 1995 | 271.3 | 88.5 |
| 1994 | 270.4 | 85.4 |
| 1993 | 268 | 81.2 |
| 1992 | 264.7 | 80.1 |
| 1991 | 273.9 | 89.6 |
| 1990 | 275.6 | 91.1 |
| 1989 | 271.9 | 89.1 |
| 1988 | 270.3 | 87.6 |
| 1987 | 271.8 | 88.5 |
| 1986 | 271.4 | 89.4 |
| 1985 | 268.4 | 83 |
| 1984 | 268.2 | 83.1 |
| 1983 | 265.1 | 82.1 |
| 1982 | 269.2 | 84.8 |
| 1981 | 272.1 | 88 |
| 1980 | 270.2 | 85 |
| 1979 | 269.3 | 85.5 |
| 1978 | 268.3 | 82.9 |
| 1977 | 269.6 | 84.1 |
| 1976 | 266.1 | 81 |
| 1975 | 261.6 | 80.8 |
| 1974 | 266.6 | 82.2 |
| 1973 | 269.9 | 83.6 |
| 1972 | 266.6 | 81.4 |
| 1971 | 265.7 | 80.7 |
| 1970 | 265.4 | 81.8 |
| 1969 | 266 | 79.5 |
| 1968 | 264.6 | 79.1 |
| 1967 | 261.7 | 77.5 |
| 1966 | 263.7 | 78.1 |
| 1965 | 263.2 | 78 |
| 1964 | 260.3 | 73.8 |
| 1963 | 254.8 | 73.1 |
| 1962 | 266.7 | 81.1 |
| 1961 | 267 | 82.6 |
| 1960 | 268.6 | 83.9 |
| 1959 | 265.5 | 81.4 |
| 1958 | 268 | 82.1 |
| 1957 | 267.4 | 80.9 |
| 1956 | 263.3 | 80 |
| 1955 | 267.7 | 81.6 |
| 1954 | 267.2 | 81.4 |
| 1953 | 267.9 | 80.6 |
| 1952 | 268.1 | 81.4 |
| 1951 | 267.2 | 82.1 |
| 1950 | 266.5 | 80.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 哥伦比亚 | 坦桑尼亚 |
|---|---|---|
| 2015 | 280.4265.9–286.4 | 114.895.2–137.4 |
| 2016 | 279.9267.9–285.6 | 108.391.6–125.6 |
| 2017 | 281.7270.6–286.3 | 114.893.6–137.8 |
| 2018 | 281.5271.8–286.3 | 116.497.4–137.1 |
| 2019 | 281.1269.5–286.9 | 113.495.2–133.2 |
| 2020 | 282.1270.6–287.9 | 119.396.2–143.5 |
| 2021 | 283.2273.9–287.8 | 119.5100.9–147.1 |
| 2022 | 283.7273.6–288.5 | 124.4105.3–147.4 |
| 2023 | 282.6274.2–288.8 | 122.1102.1–147.8 |
| 2024 | 284.7274.7–289.8 | 126.2100–150.1 |
| 2025 | 283.5273.3–289.7 | 124.6100.9–154 |
| 2026 | 283.4272.7–289.7 | 126.999.1–155.6 |
| 2027 | 283.9273.4–289.2 | 128102.9–147.7 |
| 2028 | 285275.1–290.7 | 129.9106.4–152.1 |
| 2029 | 285.8276–290.3 | 134.1111–156.5 |
| 2030 | 284.2273.4–289.8 | 129.4106.4–151.1 |
| 2031 | 285.8274.8–291.2 | 136.4115.9–158.4 |
| 2032 | 286.7278.3–292.6 | 135.1114–166.8 |
| 2033 | 285.7274.7–290.3 | 135.2110.9–161.9 |
| 2034 | 285275.8–292.8 | 134.7112.5–166.3 |
| 2035 | 285.9277.3–292 | 140.2114.6–165 |
| 2036 | 286276.9–291.6 | 137.8113.3–165.5 |
| 2037 | 287.5279.3–291.9 | 142.9121.5–168.9 |
| 2038 | 288279.7–292.4 | 147.9124.3–169.3 |
| 2039 | 287.6278.8–292.7 | 144.3117.6–171.3 |
| 2040 | 287.6279.3–294.5 | 140.5117–178 |
| 2041 | 288.2279.9–292.7 | 149.1121.7–175.6 |
| 2042 | 288.2278.3–295 | 146.3120.5–185.3 |
| 2043 | 287.7277.7–293.4 | 144.6117–173 |
| 2044 | 287.8278.5–295.1 | 147.7121.2–175.8 |
| 2045 | 288.8280.5–293.9 | 150.1125.2–183.4 |
| 2046 | 290.4281–295.5 | 161.5128.6–192.2 |
| 2047 | 289.9280.6–294.6 | 160.2129.7–194.4 |
| 2048 | 290.7281.4–296.8 | 158.8132.7–193.1 |
| 2049 | 290.9282–295.3 | 157.6131.1–196 |
| 2050 | 290.1280.8–296 | 159.7127.8–192 |
| 2051 | 290.6280.9–295.7 | 163.2135.5–197.8 |
| 2052 | 290.9281.9–296.7 | 161.9136.2–199.1 |
| 2053 | 290.5280.8–296.3 | 160.6127.5–197.7 |
| 2054 | 290.8281.3–297.2 | 163.2131.5–200.2 |
| 2055 | 291.1282.6–298 | 167.4137–208.3 |
| 2056 | 291.5281.5–298.6 | 166.4130.8–209.7 |
| 2057 | 291.5281.2–297.3 | 168134.6–208.3 |
| 2058 | 291.8281.7–298.9 | 168.7134.9–210.3 |
| 2059 | 292.8282–299.2 | 174.7144.9–219.5 |
| 2060 | 293.2283–300.1 | 181.7138.1–219.8 |
| 2061 | 292.2281.9–298.7 | 171.8135.5–218.1 |
| 2062 | 292.6282.4–299.7 | 177.5139.9–224 |
| 2063 | 293.6282.3–298.6 | 181.4140.1–213.8 |
| 2064 | 292.7282.9–299.1 | 185.3140.1–215.2 |
| 2065 | 293.8283.6–299.4 | 183.5141.1–221.8 |
| 2066 | 293.1283.4–299.8 | 181.9146.3–219.3 |
| 2067 | 292.9281.8–299.6 | 178.8138.8–229.2 |
| 2068 | 294.2282.5–300.6 | 186144.2–228.4 |
| 2069 | 292.9282.4–300 | 183.7141.7–225.3 |
| 2070 | 292.9282.8–300.8 | 180.7140.4–228.2 |
| 2071 | 294.2282.8–301.5 | 184.9146.9–235.2 |
| 2072 | 294.9285.1–301.9 | 191.3155–226.1 |
| 2073 | 294.9285.5–302.2 | 191.6152.4–235.6 |
| 2074 | 293.9283.3–300.3 | 183.3149.7–231.7 |
| 2075 | 294.1283.2–300.6 | 183.8144.8–233 |
| 2076 | 294.9284.6–302 | 191.1150.9–233.2 |
| 2077 | 295.3284.3–301.9 | 191.3152.6–238.2 |
| 2078 | 294.4285–302 | 189156.6–233.8 |
| 2079 | 294.8283.7–301.8 | 190.5147–237.3 |
| 2080 | 295.1283.4–302.8 | 197.3150.7–241.2 |
| 2081 | 295.1284.8–302.6 | 195.6153.4–237.4 |
| 2082 | 295.1284.9–301.3 | 194.5157.3–237.3 |
| 2083 | 295.4284.5–304.6 | 193.2151–249.8 |
| 2084 | 296285.1–304.4 | 201.1152.2–246.7 |
| 2085 | 296.6285–305 | 204.2162.3–252.3 |
| 2086 | 295.6284.8–303.6 | 195156–248.7 |
| 2087 | 295.3284.1–303.4 | 196.7160.8–244.5 |
| 2088 | 295.9284.5–305.5 | 208.4154.7–246.9 |
| 2089 | 295.6285–304.5 | 201.3158.6–248.2 |
| 2090 | 295.7285.8–304.6 | 197.9160.7–253.6 |
| 2091 | 297285–304.9 | 210161.6–256 |
| 2092 | 296.8286–305.7 | 205.8158.3–253.6 |
| 2093 | 296.3285.6–305.3 | 207.2161.2–251.9 |
| 2094 | 296.4285.8–305 | 207.9161.3–250.6 |
| 2095 | 297.9285.6–304.9 | 214.2166.4–258.5 |
| 2096 | 296285.9–307.5 | 205.3159.8–257.4 |
| 2097 | 296.5284.8–303.4 | 206.6158.4–256.8 |
| 2098 | 296.6286–307.3 | 209.1161–258.3 |
| 2099 | 297284.6–305.4 | 208.5160.1–256 |
| 2100 | 297.4286.5–305.2 | 208158.6–258.6 |
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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
哥伦比亚与坦桑尼亚对比
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%坦桑尼亚:2025 年为 GDP 的 1.16%
- 军费开支(美元)哥伦比亚:2025 年为 US$137亿坦桑尼亚:2025 年为 US$9.83亿
- 人均军费开支哥伦比亚:2025 年为 US$273坦桑尼亚:2025 年为 US$15
- 军费占政府支出比例哥伦比亚:2025 年为 9.3%(占政府支出)坦桑尼亚:2025 年为 5.8%(占政府支出)
- 武装部队人员哥伦比亚:2020 年为 428,000 人坦桑尼亚:2020 年为 28,000 人
- 国家实力哥伦比亚:2022 年为 0.57%(占全球实力)坦桑尼亚:2022 年为 0.25%(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)坦桑尼亚:2020 年为 0.1%(占劳动力)
- 武器进口哥伦比亚:2025 年为 2200万 TIV坦桑尼亚:2025 年为 400万 TIV