喀麦隆与坦桑尼亚对比
喀麦隆与坦桑尼亚:热带夜
2014 年热带夜:喀麦隆为 238.7 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年喀麦隆的数值较高,高出 132.4 夜,是坦桑尼亚的 2.25 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,喀麦隆的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年喀麦隆为 324.2 夜,坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 喀麦隆 | 坦桑尼亚 |
|---|---|---|
| 2014 | 238.7 | 106.3 |
| 2013 | 236.7 | 105.5 |
| 2012 | 242.2 | 108.4 |
| 2011 | 237.6 | 109 |
| 2010 | 230.4 | 103.9 |
| 2009 | 226.6 | 101.1 |
| 2008 | 223.1 | 100.3 |
| 2007 | 222.1 | 99.5 |
| 2006 | 220.1 | 100.4 |
| 2005 | 216.1 | 98.7 |
| 2004 | 217.6 | 100.4 |
| 2003 | 221 | 99.6 |
| 2002 | 215.5 | 98.4 |
| 2001 | 223 | 101.5 |
| 2000 | 210 | 94.9 |
| 1999 | 200.5 | 94.2 |
| 1998 | 203.5 | 96.8 |
| 1997 | 202 | 93.5 |
| 1996 | 190 | 89.6 |
| 1995 | 187.3 | 88.5 |
| 1994 | 183.1 | 85.4 |
| 1993 | 165.2 | 81.2 |
| 1992 | 156.7 | 80.1 |
| 1991 | 192.6 | 89.6 |
| 1990 | 200.7 | 91.1 |
| 1989 | 187.5 | 89.1 |
| 1988 | 185.8 | 87.6 |
| 1987 | 182.7 | 88.5 |
| 1986 | 188.9 | 89.4 |
| 1985 | 173.2 | 83 |
| 1984 | 172.9 | 83.1 |
| 1983 | 165.5 | 82.1 |
| 1982 | 176.3 | 84.8 |
| 1981 | 182.6 | 88 |
| 1980 | 173.6 | 85 |
| 1979 | 175.8 | 85.5 |
| 1978 | 172.8 | 82.9 |
| 1977 | 175.7 | 84.1 |
| 1976 | 164.5 | 81 |
| 1975 | 159.5 | 80.8 |
| 1974 | 166.8 | 82.2 |
| 1973 | 170.4 | 83.6 |
| 1972 | 165.2 | 81.4 |
| 1971 | 161.3 | 80.7 |
| 1970 | 164.4 | 81.8 |
| 1969 | 160 | 79.5 |
| 1968 | 157.8 | 79.1 |
| 1967 | 147.9 | 77.5 |
| 1966 | 156.5 | 78.1 |
| 1965 | 151.6 | 78 |
| 1964 | 143.1 | 73.8 |
| 1963 | 145.9 | 73.1 |
| 1962 | 171.8 | 81.1 |
| 1961 | 167.2 | 82.6 |
| 1960 | 176.2 | 83.9 |
| 1959 | 166.5 | 81.4 |
| 1958 | 169.2 | 82.1 |
| 1957 | 168.2 | 80.9 |
| 1956 | 160 | 80 |
| 1955 | 163.7 | 81.6 |
| 1954 | 167.6 | 81.4 |
| 1953 | 168.2 | 80.6 |
| 1952 | 165.7 | 81.4 |
| 1951 | 172.8 | 82.1 |
| 1950 | 162.8 | 80.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 喀麦隆 | 坦桑尼亚 |
|---|---|---|
| 2015 | 242.2196.9–270.8 | 114.895.2–137.4 |
| 2016 | 237.7192.1–259.9 | 108.391.6–125.6 |
| 2017 | 245.8205.7–271.3 | 114.893.6–137.8 |
| 2018 | 245.7208–270.5 | 116.497.4–137.1 |
| 2019 | 243.7200.2–275.6 | 113.495.2–133.2 |
| 2020 | 246.4210.4–278 | 119.396.2–143.5 |
| 2021 | 255.2220.2–279.6 | 119.5100.9–147.1 |
| 2022 | 255.8221–285.7 | 124.4105.3–147.4 |
| 2023 | 254.5221.7–284.1 | 122.1102.1–147.8 |
| 2024 | 263225.8–286.8 | 126.2100–150.1 |
| 2025 | 257.3222.7–293.9 | 124.6100.9–154 |
| 2026 | 260.4211.9–292 | 126.999.1–155.6 |
| 2027 | 258.5223.8–291.5 | 128102.9–147.7 |
| 2028 | 266.9235.5–294.7 | 129.9106.4–152.1 |
| 2029 | 269.9242.3–293.5 | 134.1111–156.5 |
| 2030 | 266.6229–293.5 | 129.4106.4–151.1 |
| 2031 | 273.2229.9–298.5 | 136.4115.9–158.4 |
| 2032 | 269.8240.6–296.2 | 135.1114–166.8 |
| 2033 | 271.8235.6–303.4 | 135.2110.9–161.9 |
| 2034 | 268.1239.2–299.1 | 134.7112.5–166.3 |
| 2035 | 277.5241.5–302.7 | 140.2114.6–165 |
| 2036 | 275.7235.1–301.3 | 137.8113.3–165.5 |
| 2037 | 283.5252.3–305.9 | 142.9121.5–168.9 |
| 2038 | 285.8258–307.9 | 147.9124.3–169.3 |
| 2039 | 280.9250.4–305.8 | 144.3117.6–171.3 |
| 2040 | 279.5252.1–310.6 | 140.5117–178 |
| 2041 | 284.5254.6–309.9 | 149.1121.7–175.6 |
| 2042 | 284.8253.6–313.2 | 146.3120.5–185.3 |
| 2043 | 281.2251.4–309.8 | 144.6117–173 |
| 2044 | 283.8244.4–312.3 | 147.7121.2–175.8 |
| 2045 | 286.8253.7–311.4 | 150.1125.2–183.4 |
| 2046 | 296.1260.6–318.1 | 161.5128.6–192.2 |
| 2047 | 294.3260.7–316.6 | 160.2129.7–194.4 |
| 2048 | 297.3265.6–318.1 | 158.8132.7–193.1 |
| 2049 | 298.3267.8–318.1 | 157.6131.1–196 |
| 2050 | 296.9267.9–322.7 | 159.7127.8–192 |
| 2051 | 297.8266.7–319.9 | 163.2135.5–197.8 |
| 2052 | 298.7270.1–322.3 | 161.9136.2–199.1 |
| 2053 | 297.7261.3–321.7 | 160.6127.5–197.7 |
| 2054 | 301.2268.2–324.6 | 163.2131.5–200.2 |
| 2055 | 301.3276.5–324.3 | 167.4137–208.3 |
| 2056 | 302.1270.4–329.2 | 166.4130.8–209.7 |
| 2057 | 305.4277.7–327.4 | 168134.6–208.3 |
| 2058 | 302.6272.1–325.2 | 168.7134.9–210.3 |
| 2059 | 306.2279.6–330.1 | 174.7144.9–219.5 |
| 2060 | 306.1276.1–331.1 | 181.7138.1–219.8 |
| 2061 | 304.4267.2–329.7 | 171.8135.5–218.1 |
| 2062 | 307.6266.2–332.2 | 177.5139.9–224 |
| 2063 | 309.1272.5–328.8 | 181.4140.1–213.8 |
| 2064 | 308.5278.7–331 | 185.3140.1–215.2 |
| 2065 | 311.3284.1–329.6 | 183.5141.1–221.8 |
| 2066 | 311.9284–332.7 | 181.9146.3–219.3 |
| 2067 | 310.1271.7–335.6 | 178.8138.8–229.2 |
| 2068 | 312.9278.7–335 | 186144.2–228.4 |
| 2069 | 310.4278.4–333.4 | 183.7141.7–225.3 |
| 2070 | 309.8281.2–334.9 | 180.7140.4–228.2 |
| 2071 | 316.4282.3–336 | 184.9146.9–235.2 |
| 2072 | 315.4289.2–335.3 | 191.3155–226.1 |
| 2073 | 314282.6–339.5 | 191.6152.4–235.6 |
| 2074 | 311.7281.9–336.8 | 183.3149.7–231.7 |
| 2075 | 314.8285.3–335.3 | 183.8144.8–233 |
| 2076 | 315.2284.7–338.4 | 191.1150.9–233.2 |
| 2077 | 318.2289.7–341.4 | 191.3152.6–238.2 |
| 2078 | 315.8286.4–338.5 | 189156.6–233.8 |
| 2079 | 317.7287.8–337.5 | 190.5147–237.3 |
| 2080 | 321.5285.9–341.7 | 197.3150.7–241.2 |
| 2081 | 318.7290–339 | 195.6153.4–237.4 |
| 2082 | 316.2289–337.7 | 194.5157.3–237.3 |
| 2083 | 317.7288.2–341.6 | 193.2151–249.8 |
| 2084 | 318.5284.5–342.1 | 201.1152.2–246.7 |
| 2085 | 323.4294–342.7 | 204.2162.3–252.3 |
| 2086 | 319.5292.3–343 | 195156–248.7 |
| 2087 | 318292.7–342.5 | 196.7160.8–244.5 |
| 2088 | 320.4288.1–342 | 208.4154.7–246.9 |
| 2089 | 320.1289.6–340.7 | 201.3158.6–248.2 |
| 2090 | 322.4292.8–342.6 | 197.9160.7–253.6 |
| 2091 | 322.6289.9–345 | 210161.6–256 |
| 2092 | 324.9291.6–343.6 | 205.8158.3–253.6 |
| 2093 | 322.3299.7–342.6 | 207.2161.2–251.9 |
| 2094 | 324299.3–343.4 | 207.9161.3–250.6 |
| 2095 | 326.4300.2–346.4 | 214.2166.4–258.5 |
| 2096 | 322.1294.4–346.4 | 205.3159.8–257.4 |
| 2097 | 320.9287.4–342.5 | 206.6158.4–256.8 |
| 2098 | 323.1293.8–344.4 | 209.1161–258.3 |
| 2099 | 322.6295.7–344.2 | 208.5160.1–256 |
| 2100 | 324.2293.6–346.6 | 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
喀麦隆与坦桑尼亚对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支喀麦隆:2025 年为 GDP 的 1.06%坦桑尼亚:2025 年为 GDP 的 1.16%
- 军费开支(美元)喀麦隆:2025 年为 US$5.8亿坦桑尼亚:2025 年为 US$9.83亿
- 人均军费开支喀麦隆:2025 年为 US$21坦桑尼亚:2025 年为 US$15
- 军费占政府支出比例喀麦隆:2025 年为 6.5%(占政府支出)坦桑尼亚:2025 年为 5.8%(占政府支出)
- 武装部队人员喀麦隆:2020 年为 34,000 人坦桑尼亚:2020 年为 28,000 人
- 国家实力喀麦隆:2022 年为 0.16%(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喀麦隆:2020 年为 0.34%(占劳动力)坦桑尼亚:2020 年为 0.1%(占劳动力)
- 武器进口喀麦隆:2023 年为 200万 TIV坦桑尼亚:2025 年为 400万 TIV