菲律宾与坦桑尼亚对比
菲律宾与坦桑尼亚:热带夜
2014 年热带夜:菲律宾为 331.5 夜,坦桑尼亚为 106.3 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 225.2 夜,是坦桑尼亚的 3.12 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,菲律宾的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年菲律宾为 351.3 夜,坦桑尼亚为 208 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 菲律宾 | 坦桑尼亚 |
|---|---|---|
| 2014 | 331.5 | 106.3 |
| 2013 | 330.9 | 105.5 |
| 2012 | 331.1 | 108.4 |
| 2011 | 329.8 | 109 |
| 2010 | 330.6 | 103.9 |
| 2009 | 329 | 101.1 |
| 2008 | 327.5 | 100.3 |
| 2007 | 327.8 | 99.5 |
| 2006 | 328.7 | 100.4 |
| 2005 | 329.7 | 98.7 |
| 2004 | 329.4 | 100.4 |
| 2003 | 327.1 | 99.6 |
| 2002 | 328.9 | 98.4 |
| 2001 | 327.8 | 101.5 |
| 2000 | 326.8 | 94.9 |
| 1999 | 327.5 | 94.2 |
| 1998 | 326.5 | 96.8 |
| 1997 | 325.4 | 93.5 |
| 1996 | 324.6 | 89.6 |
| 1995 | 324.2 | 88.5 |
| 1994 | 321.5 | 85.4 |
| 1993 | 319.5 | 81.2 |
| 1992 | 318.4 | 80.1 |
| 1991 | 324.1 | 89.6 |
| 1990 | 323.5 | 91.1 |
| 1989 | 322.5 | 89.1 |
| 1988 | 324 | 87.6 |
| 1987 | 323.1 | 88.5 |
| 1986 | 322.1 | 89.4 |
| 1985 | 321.4 | 83 |
| 1984 | 321.7 | 83.1 |
| 1983 | 319.4 | 82.1 |
| 1982 | 320.5 | 84.8 |
| 1981 | 320.4 | 88 |
| 1980 | 322.7 | 85 |
| 1979 | 321.2 | 85.5 |
| 1978 | 320.6 | 82.9 |
| 1977 | 319.8 | 84.1 |
| 1976 | 319.6 | 81 |
| 1975 | 319.6 | 80.8 |
| 1974 | 320 | 82.2 |
| 1973 | 319.4 | 83.6 |
| 1972 | 318.9 | 81.4 |
| 1971 | 318.8 | 80.7 |
| 1970 | 319 | 81.8 |
| 1969 | 318.7 | 79.5 |
| 1968 | 317.2 | 79.1 |
| 1967 | 317.4 | 77.5 |
| 1966 | 318.8 | 78.1 |
| 1965 | 317.2 | 78 |
| 1964 | 314.9 | 73.8 |
| 1963 | 317.2 | 73.1 |
| 1962 | 318.6 | 81.1 |
| 1961 | 319.3 | 82.6 |
| 1960 | 318.6 | 83.9 |
| 1959 | 320.5 | 81.4 |
| 1958 | 321.8 | 82.1 |
| 1957 | 319.4 | 80.9 |
| 1956 | 320 | 80 |
| 1955 | 319.3 | 81.6 |
| 1954 | 317.7 | 81.4 |
| 1953 | 320 | 80.6 |
| 1952 | 319 | 81.4 |
| 1951 | 319.8 | 82.1 |
| 1950 | 320.4 | 80.7 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 菲律宾 | 坦桑尼亚 |
|---|---|---|
| 2015 | 333319.8–339.5 | 114.895.2–137.4 |
| 2016 | 334.2322.8–340.7 | 108.391.6–125.6 |
| 2017 | 333.4319.7–339.8 | 114.893.6–137.8 |
| 2018 | 333.2320.1–340.1 | 116.497.4–137.1 |
| 2019 | 334.1323.4–341.2 | 113.495.2–133.2 |
| 2020 | 334.6322.6–341.8 | 119.396.2–143.5 |
| 2021 | 335.6323.3–341.1 | 119.5100.9–147.1 |
| 2022 | 335.7323.3–342.1 | 124.4105.3–147.4 |
| 2023 | 336.7324.8–343.2 | 122.1102.1–147.8 |
| 2024 | 337.2325.7–343.9 | 126.2100–150.1 |
| 2025 | 336.3326.2–342.8 | 124.6100.9–154 |
| 2026 | 336.5322.9–343 | 126.999.1–155.6 |
| 2027 | 336.2325.7–342.3 | 128102.9–147.7 |
| 2028 | 337.1325.5–343.8 | 129.9106.4–152.1 |
| 2029 | 338.1327.2–344.6 | 134.1111–156.5 |
| 2030 | 337.7326.2–344.4 | 129.4106.4–151.1 |
| 2031 | 337.1325.6–343.8 | 136.4115.9–158.4 |
| 2032 | 339.4329.5–346.1 | 135.1114–166.8 |
| 2033 | 339.7329.6–345.5 | 135.2110.9–161.9 |
| 2034 | 338.8328.8–345 | 134.7112.5–166.3 |
| 2035 | 338.6327.5–346.4 | 140.2114.6–165 |
| 2036 | 339.6327.8–346.9 | 137.8113.3–165.5 |
| 2037 | 339.8329.1–345.5 | 142.9121.5–168.9 |
| 2038 | 341.9330.7–347.7 | 147.9124.3–169.3 |
| 2039 | 341.2330.4–346.9 | 144.3117.6–171.3 |
| 2040 | 340.4328.1–347.6 | 140.5117–178 |
| 2041 | 341.1329.1–346.7 | 149.1121.7–175.6 |
| 2042 | 342331.4–347.7 | 146.3120.5–185.3 |
| 2043 | 341.3329–348.1 | 144.6117–173 |
| 2044 | 342.8329.9–349.8 | 147.7121.2–175.8 |
| 2045 | 343.4333.8–348.7 | 150.1125.2–183.4 |
| 2046 | 342.7330.2–348.7 | 161.5128.6–192.2 |
| 2047 | 343.2331.7–350.6 | 160.2129.7–194.4 |
| 2048 | 343.3332.7–350.6 | 158.8132.7–193.1 |
| 2049 | 343.2332.5–349.5 | 157.6131.1–196 |
| 2050 | 344.3332.6–349.9 | 159.7127.8–192 |
| 2051 | 344.4334.9–350.8 | 163.2135.5–197.8 |
| 2052 | 344.1333.5–350.9 | 161.9136.2–199.1 |
| 2053 | 344.3333.6–350.3 | 160.6127.5–197.7 |
| 2054 | 343.4332–349.9 | 163.2131.5–200.2 |
| 2055 | 344.3334.4–350.5 | 167.4137–208.3 |
| 2056 | 345334.6–352.6 | 166.4130.8–209.7 |
| 2057 | 345.5335.1–351.5 | 168134.6–208.3 |
| 2058 | 345.8334.3–351.3 | 168.7134.9–210.3 |
| 2059 | 345.5333.7–351.6 | 174.7144.9–219.5 |
| 2060 | 346.8335.5–353.5 | 181.7138.1–219.8 |
| 2061 | 345.9335–351.8 | 171.8135.5–218.1 |
| 2062 | 346335.2–353.5 | 177.5139.9–224 |
| 2063 | 346.6336.2–352.8 | 181.4140.1–213.8 |
| 2064 | 346.9335.3–353 | 185.3140.1–215.2 |
| 2065 | 346.1335.9–351.9 | 183.5141.1–221.8 |
| 2066 | 346.5335.4–352.4 | 181.9146.3–219.3 |
| 2067 | 346.1335.4–352 | 178.8138.8–229.2 |
| 2068 | 347.1335.1–354.1 | 186144.2–228.4 |
| 2069 | 347333.8–353.6 | 183.7141.7–225.3 |
| 2070 | 346.7336.1–352.7 | 180.7140.4–228.2 |
| 2071 | 347.6336.2–353.9 | 184.9146.9–235.2 |
| 2072 | 347334.4–353.8 | 191.3155–226.1 |
| 2073 | 348.4336.7–355 | 191.6152.4–235.6 |
| 2074 | 348.6337–354.9 | 183.3149.7–231.7 |
| 2075 | 347.9337.2–354 | 183.8144.8–233 |
| 2076 | 348.4337–355.1 | 191.1150.9–233.2 |
| 2077 | 348.7337–354.8 | 191.3152.6–238.2 |
| 2078 | 348.4338.2–354.7 | 189156.6–233.8 |
| 2079 | 348.8337.6–354.7 | 190.5147–237.3 |
| 2080 | 349.1338.4–355.9 | 197.3150.7–241.2 |
| 2081 | 348.8336.9–355.1 | 195.6153.4–237.4 |
| 2082 | 349.6338–354.9 | 194.5157.3–237.3 |
| 2083 | 349.9337.9–356.1 | 193.2151–249.8 |
| 2084 | 349.5336.7–356.4 | 201.1152.2–246.7 |
| 2085 | 349.1338.2–355.4 | 204.2162.3–252.3 |
| 2086 | 349.4337.5–354.9 | 195156–248.7 |
| 2087 | 349.7338.7–356 | 196.7160.8–244.5 |
| 2088 | 349.9338.9–356.1 | 208.4154.7–246.9 |
| 2089 | 350.2339.8–355.2 | 201.3158.6–248.2 |
| 2090 | 350.1339.7–355.9 | 197.9160.7–253.6 |
| 2091 | 349.5339.5–356.3 | 210161.6–256 |
| 2092 | 350.5339.3–356.1 | 205.8158.3–253.6 |
| 2093 | 350.4337.9–356.5 | 207.2161.2–251.9 |
| 2094 | 350.5338.4–355.9 | 207.9161.3–250.6 |
| 2095 | 350.5338.3–355.7 | 214.2166.4–258.5 |
| 2096 | 351.1339–358 | 205.3159.8–257.4 |
| 2097 | 350.2339.3–355.6 | 206.6158.4–256.8 |
| 2098 | 350.3337.4–355.2 | 209.1161–258.3 |
| 2099 | 350.6339.3–356.4 | 208.5160.1–256 |
| 2100 | 351.3340.2–356.3 | 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
菲律宾与坦桑尼亚对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支菲律宾:2025 年为 GDP 的 1.3%坦桑尼亚:2025 年为 GDP 的 1.16%
- 军费开支(美元)菲律宾:2025 年为 US$63亿坦桑尼亚:2025 年为 US$9.83亿
- 人均军费开支菲律宾:2025 年为 US$55坦桑尼亚:2025 年为 US$15
- 军费占政府支出比例菲律宾:2025 年为 5.4%(占政府支出)坦桑尼亚:2025 年为 5.8%(占政府支出)
- 武装部队人员菲律宾:2020 年为 157,000 人坦桑尼亚:2020 年为 28,000 人
- 国家实力菲律宾:2022 年为 0.68%(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菲律宾:2020 年为 0.37%(占劳动力)坦桑尼亚:2020 年为 0.1%(占劳动力)
- 武器进口菲律宾:2025 年为 8.46亿 TIV坦桑尼亚:2025 年为 400万 TIV