刚果(金)与菲律宾对比
刚果(金)与菲律宾:热带夜
2014 年热带夜:刚果(金)为 248.5 夜,菲律宾为 331.5 夜(CMIP6 气候模型中位数模拟)。 2014 年菲律宾的数值较高,高出 83 夜,是刚果(金)的 1.33 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 年刚果(金)为 324.1 夜,菲律宾为 351.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 刚果(金) | 菲律宾 |
|---|---|---|
| 2014 | 248.5 | 331.5 |
| 2013 | 249.2 | 330.9 |
| 2012 | 250.9 | 331.1 |
| 2011 | 248.7 | 329.8 |
| 2010 | 243.5 | 330.6 |
| 2009 | 243 | 329 |
| 2008 | 239.7 | 327.5 |
| 2007 | 237.7 | 327.8 |
| 2006 | 239 | 328.7 |
| 2005 | 237.3 | 329.7 |
| 2004 | 238.5 | 329.4 |
| 2003 | 239.3 | 327.1 |
| 2002 | 236.5 | 328.9 |
| 2001 | 242.5 | 327.8 |
| 2000 | 233.5 | 326.8 |
| 1999 | 226.2 | 327.5 |
| 1998 | 230.6 | 326.5 |
| 1997 | 226.6 | 325.4 |
| 1996 | 218.6 | 324.6 |
| 1995 | 217.2 | 324.2 |
| 1994 | 211.9 | 321.5 |
| 1993 | 201.5 | 319.5 |
| 1992 | 197.6 | 318.4 |
| 1991 | 220.1 | 324.1 |
| 1990 | 225.4 | 323.5 |
| 1989 | 218.4 | 322.5 |
| 1988 | 216.7 | 324 |
| 1987 | 216.6 | 323.1 |
| 1986 | 216.8 | 322.1 |
| 1985 | 206.1 | 321.4 |
| 1984 | 205.9 | 321.7 |
| 1983 | 204.3 | 319.4 |
| 1982 | 204.5 | 320.5 |
| 1981 | 215.2 | 320.4 |
| 1980 | 211.4 | 322.7 |
| 1979 | 208.5 | 321.2 |
| 1978 | 202.6 | 320.6 |
| 1977 | 206.5 | 319.8 |
| 1976 | 201.9 | 319.6 |
| 1975 | 199 | 319.6 |
| 1974 | 204 | 320 |
| 1973 | 208.4 | 319.4 |
| 1972 | 202.5 | 318.9 |
| 1971 | 196.3 | 318.8 |
| 1970 | 201.7 | 319 |
| 1969 | 197.3 | 318.7 |
| 1968 | 199 | 317.2 |
| 1967 | 188.8 | 317.4 |
| 1966 | 194.7 | 318.8 |
| 1965 | 189 | 317.2 |
| 1964 | 177.3 | 314.9 |
| 1963 | 178.5 | 317.2 |
| 1962 | 203.2 | 318.6 |
| 1961 | 203.9 | 319.3 |
| 1960 | 209.8 | 318.6 |
| 1959 | 203.3 | 320.5 |
| 1958 | 204.3 | 321.8 |
| 1957 | 204 | 319.4 |
| 1956 | 197.6 | 320 |
| 1955 | 200.5 | 319.3 |
| 1954 | 201 | 317.7 |
| 1953 | 204.6 | 320 |
| 1952 | 201.9 | 319 |
| 1951 | 204.8 | 319.8 |
| 1950 | 200.8 | 320.4 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 刚果(金) | 菲律宾 |
|---|---|---|
| 2015 | 256.6217.3–277.7 | 333319.8–339.5 |
| 2016 | 247.7213.3–269.3 | 334.2322.8–340.7 |
| 2017 | 257.4226.6–278.3 | 333.4319.7–339.8 |
| 2018 | 258.8228.1–276.8 | 333.2320.1–340.1 |
| 2019 | 255.8222.6–278.7 | 334.1323.4–341.2 |
| 2020 | 259.4227.4–282.3 | 334.6322.6–341.8 |
| 2021 | 262.6234.7–283.8 | 335.6323.3–341.1 |
| 2022 | 264.8235.1–288.5 | 335.7323.3–342.1 |
| 2023 | 263.9236.8–287.2 | 336.7324.8–343.2 |
| 2024 | 270.9237.9–290 | 337.2325.7–343.9 |
| 2025 | 266.1230.6–292.2 | 336.3326.2–342.8 |
| 2026 | 267.4226.8–294.5 | 336.5322.9–343 |
| 2027 | 268.6230.6–293.6 | 336.2325.7–342.3 |
| 2028 | 271.7239.7–295.9 | 337.1325.5–343.8 |
| 2029 | 275.9249.3–296.6 | 338.1327.2–344.6 |
| 2030 | 270.4241.7–296.1 | 337.7326.2–344.4 |
| 2031 | 279.4246.6–297.5 | 337.1325.6–343.8 |
| 2032 | 277.9249.4–302.3 | 339.4329.5–346.1 |
| 2033 | 276.9245.9–301.6 | 339.7329.6–345.5 |
| 2034 | 276.7247.4–305.6 | 338.8328.8–345 |
| 2035 | 281243.7–305.1 | 338.6327.5–346.4 |
| 2036 | 278.3244.7–304.9 | 339.6327.8–346.9 |
| 2037 | 286.9256.1–308.6 | 339.8329.1–345.5 |
| 2038 | 289261.5–307.1 | 341.9330.7–347.7 |
| 2039 | 284.7253.4–307.3 | 341.2330.4–346.9 |
| 2040 | 284.5254.7–311.5 | 340.4328.1–347.6 |
| 2041 | 289.9258.4–310.8 | 341.1329.1–346.7 |
| 2042 | 286.9254.1–314.3 | 342331.4–347.7 |
| 2043 | 285.9253–313 | 341.3329–348.1 |
| 2044 | 288.3253.6–312.5 | 342.8329.9–349.8 |
| 2045 | 289.4260.1–314.1 | 343.4333.8–348.7 |
| 2046 | 298.3261.3–317.3 | 342.7330.2–348.7 |
| 2047 | 298.5268.2–317.8 | 343.2331.7–350.6 |
| 2048 | 299.1268–320.8 | 343.3332.7–350.6 |
| 2049 | 300.3269.6–320.4 | 343.2332.5–349.5 |
| 2050 | 297.8267.2–320.6 | 344.3332.6–349.9 |
| 2051 | 298.4272.3–323.1 | 344.4334.9–350.8 |
| 2052 | 300.2271.5–324 | 344.1333.5–350.9 |
| 2053 | 298.7265.5–322.6 | 344.3333.6–350.3 |
| 2054 | 300.6269.6–322.8 | 343.4332–349.9 |
| 2055 | 301.9274.9–325.6 | 344.3334.4–350.5 |
| 2056 | 302.1266.2–328.3 | 345334.6–352.6 |
| 2057 | 305.1274.4–326.5 | 345.5335.1–351.5 |
| 2058 | 305.3274.1–327.1 | 345.8334.3–351.3 |
| 2059 | 305.4279–329.6 | 345.5333.7–351.6 |
| 2060 | 310.7273.5–330.2 | 346.8335.5–353.5 |
| 2061 | 307266.1–329.8 | 345.9335–351.8 |
| 2062 | 308.8269.1–332 | 346335.2–353.5 |
| 2063 | 308.4277.6–328.4 | 346.6336.2–352.8 |
| 2064 | 310.6278.4–329.6 | 346.9335.3–353 |
| 2065 | 311.9282.4–331.2 | 346.1335.9–351.9 |
| 2066 | 310.4284.2–330.3 | 346.5335.4–352.4 |
| 2067 | 308.8275.9–334 | 346.1335.4–352 |
| 2068 | 313.9280.8–334.6 | 347.1335.1–354.1 |
| 2069 | 312.1270.6–332.7 | 347333.8–353.6 |
| 2070 | 309.6278–334 | 346.7336.1–352.7 |
| 2071 | 312.6285–336.5 | 347.6336.2–353.9 |
| 2072 | 317287.7–334.6 | 347334.4–353.8 |
| 2073 | 316.2291.2–337.1 | 348.4336.7–355 |
| 2074 | 311.6284.5–334.9 | 348.6337–354.9 |
| 2075 | 312.3279.3–335.2 | 347.9337.2–354 |
| 2076 | 315.9288.7–337.1 | 348.4337–355.1 |
| 2077 | 318.5292.6–338.2 | 348.7337–354.8 |
| 2078 | 315287.3–337.1 | 348.4338.2–354.7 |
| 2079 | 314.8286.3–336 | 348.8337.6–354.7 |
| 2080 | 318.5286.8–337.8 | 349.1338.4–355.9 |
| 2081 | 318.4287.8–336.7 | 348.8336.9–355.1 |
| 2082 | 318.7289.8–336.5 | 349.6338–354.9 |
| 2083 | 317.4290.6–340.9 | 349.9337.9–356.1 |
| 2084 | 321.6293.8–339.8 | 349.5336.7–356.4 |
| 2085 | 324.4294.3–341.4 | 349.1338.2–355.4 |
| 2086 | 319290.7–340.7 | 349.4337.5–354.9 |
| 2087 | 318.3291.9–339.6 | 349.7338.7–356 |
| 2088 | 320.9292.9–340 | 349.9338.9–356.1 |
| 2089 | 322.1293.9–339.8 | 350.2339.8–355.2 |
| 2090 | 320.4295.5–341.7 | 350.1339.7–355.9 |
| 2091 | 325.4294.3–343.3 | 349.5339.5–356.3 |
| 2092 | 321.5294.4–342.4 | 350.5339.3–356.1 |
| 2093 | 323.1297.8–341.2 | 350.4337.9–356.5 |
| 2094 | 323.1296.5–341.1 | 350.5338.4–355.9 |
| 2095 | 325.6299.1–343.7 | 350.5338.3–355.7 |
| 2096 | 321.8296.2–344.1 | 351.1339–358 |
| 2097 | 321.5292.6–342 | 350.2339.3–355.6 |
| 2098 | 324.2295.1–342.8 | 350.3337.4–355.2 |
| 2099 | 322.8293.7–344.6 | 350.6339.3–356.4 |
| 2100 | 324.1292.1–344.1 | 351.3340.2–356.3 |
分别查看各国
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
刚果(金)与菲律宾对比
健康
人口与社会
- 人口刚果(金):2023 年为 1.06亿 人菲律宾:2023 年为 1.15亿 人
- 人口增长刚果(金):2023 年为 3.26%/年菲律宾:2023 年为 0.84%/年
- 生育率刚果(金):2023 年为 6.05(每名妇女)菲律宾:2023 年为 1.92(每名妇女)
- 城市人口刚果(金):2025 年为 45.1%菲律宾:2025 年为 55.8%
- 年龄中位数刚果(金):2023 年为 15.8 年菲律宾:2023 年为 25.3 年
- 65 岁及以上人口刚果(金):2023 年为 3.1%菲律宾:2023 年为 5.3%
- 净移民率刚果(金):2023 年为 -0.1‰菲律宾:2023 年为 -1.4‰
经济
教育
政治
冲突
军用
- 军费开支刚果(金):2025 年为 GDP 的 1.38%菲律宾:2025 年为 GDP 的 1.3%
- 军费开支(美元)刚果(金):2025 年为 US$10.8亿菲律宾:2025 年为 US$63亿
- 人均军费开支刚果(金):2025 年为 US$11菲律宾:2025 年为 US$55
- 军费占政府支出比例刚果(金):2025 年为 8.1%(占政府支出)菲律宾:2025 年为 5.4%(占政府支出)
- 武装部队人员刚果(金):2020 年为 134,000 人菲律宾:2020 年为 157,000 人
- 国家实力刚果(金):2022 年为 0.59%(占全球实力)菲律宾:2022 年为 0.68%(占全球实力)
- 武装部队占劳动力比例刚果(金):2020 年为 0.41%(占劳动力)菲律宾:2020 年为 0.37%(占劳动力)
- 武器进口刚果(金):2025 年为 4400万 TIV菲律宾:2025 年为 8.46亿 TIV
- 武器出口刚果(金):1997 年为 2200万 TIV菲律宾:2007 年为 400万 TIV