中国与巴布亚新几内亚对比
中国与巴布亚新几内亚:热带夜
2014 年热带夜:中国为 41.5 夜,巴布亚新几内亚为 250 夜(CMIP6 气候模型中位数模拟)。 2014 年巴布亚新几内亚的数值较高,高出 208.6 夜,是中国的 6.03 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,巴布亚新几内亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年中国为 63.3 夜,巴布亚新几内亚为 276.3 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 中国 | 巴布亚新几内亚 |
|---|---|---|
| 2014 | 41.5 | 250 |
| 2013 | 41.7 | 250.3 |
| 2012 | 40.8 | 248.7 |
| 2011 | 40.2 | 247 |
| 2010 | 40.5 | 249.1 |
| 2009 | 39.5 | 247.8 |
| 2008 | 39.2 | 246.9 |
| 2007 | 38.7 | 246.6 |
| 2006 | 39.5 | 247 |
| 2005 | 39.5 | 247.2 |
| 2004 | 39.7 | 247 |
| 2003 | 38.5 | 245.9 |
| 2002 | 38.8 | 245.6 |
| 2001 | 39.5 | 246.5 |
| 2000 | 38.6 | 245.9 |
| 1999 | 38.5 | 244.8 |
| 1998 | 37.6 | 243.9 |
| 1997 | 37.1 | 243 |
| 1996 | 36.6 | 241.9 |
| 1995 | 35.1 | 241.6 |
| 1994 | 34.9 | 239.6 |
| 1993 | 33.2 | 236.8 |
| 1992 | 32.3 | 235 |
| 1991 | 35.9 | 242.1 |
| 1990 | 36.4 | 242.7 |
| 1989 | 36.1 | 240.3 |
| 1988 | 35.1 | 241.3 |
| 1987 | 34.5 | 240.8 |
| 1986 | 34 | 241.1 |
| 1985 | 33.5 | 238.2 |
| 1984 | 33.4 | 238.3 |
| 1983 | 31.5 | 236 |
| 1982 | 34.1 | 239.7 |
| 1981 | 34.2 | 239.4 |
| 1980 | 34.3 | 239.4 |
| 1979 | 33.8 | 238.9 |
| 1978 | 34.8 | 237.6 |
| 1977 | 33.3 | 238.1 |
| 1976 | 32.7 | 235.2 |
| 1975 | 33.1 | 237.6 |
| 1974 | 33.3 | 236.9 |
| 1973 | 33.1 | 238.1 |
| 1972 | 32.6 | 236.3 |
| 1971 | 33 | 236.9 |
| 1970 | 32.4 | 234.7 |
| 1969 | 33.4 | 235.9 |
| 1968 | 32.8 | 235.4 |
| 1967 | 33.4 | 234.7 |
| 1966 | 33.4 | 235.3 |
| 1965 | 32.5 | 233.5 |
| 1964 | 32.1 | 232 |
| 1963 | 34.5 | 232.3 |
| 1962 | 34 | 237.1 |
| 1961 | 34.6 | 237.7 |
| 1960 | 34.1 | 238.1 |
| 1959 | 34 | 237.5 |
| 1958 | 35 | 238.5 |
| 1957 | 34.4 | 236.1 |
| 1956 | 34.6 | 236.9 |
| 1955 | 34.2 | 237.6 |
| 1954 | 34.2 | 235.9 |
| 1953 | 34.3 | 236.5 |
| 1952 | 34.3 | 237.1 |
| 1951 | 35.1 | 237.2 |
| 1950 | 34.9 | 236.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 中国 | 巴布亚新几内亚 |
|---|---|---|
| 2015 | 42.334.8–49.8 | 251.6240.9–257.9 |
| 2016 | 42.134.4–50 | 250.8241.6–258.7 |
| 2017 | 43.135.3–51.6 | 251.6240–258.6 |
| 2018 | 42.335.5–49.5 | 252240.2–258.8 |
| 2019 | 43.836.5–51.1 | 252.2242–259.7 |
| 2020 | 43.736.8–51.1 | 253.8242.9–261.3 |
| 2021 | 44.136–52.1 | 253242.7–259.2 |
| 2022 | 44.737.5–52.7 | 254.2242.9–261.3 |
| 2023 | 45.737.8–53.4 | 254243.4–262 |
| 2024 | 45.738.1–54 | 256246.5–263.4 |
| 2025 | 46.337.5–54.8 | 254.9244.4–263.6 |
| 2026 | 46.237.6–55.5 | 255.8245–263.7 |
| 2027 | 46.138–54.9 | 255.6245.6–262.9 |
| 2028 | 46.438.4–54.3 | 256.2246.5–264.2 |
| 2029 | 46.939.1–55.6 | 257.9248.1–265.4 |
| 2030 | 47.138.8–55.3 | 256.8246.2–264.3 |
| 2031 | 4738.8–56 | 256.4246–263.8 |
| 2032 | 48.339.3–57.4 | 258.6247.9–267.7 |
| 2033 | 47.939.7–56.6 | 259.5248.8–266.1 |
| 2034 | 48.440.5–57.3 | 257.9248.2–265.2 |
| 2035 | 49.740.8–58.6 | 259.4250–270 |
| 2036 | 4940.1–58.2 | 259.6249.8–268.4 |
| 2037 | 4941.2–57.6 | 259.4249.3–267.6 |
| 2038 | 50.542.4–59.3 | 261.1251.9–268.7 |
| 2039 | 49.641.2–59.2 | 261.6251.5–268.3 |
| 2040 | 50.942.4–60.4 | 260.6250–271.3 |
| 2041 | 51.342.5–61.1 | 262.1250.9–271.1 |
| 2042 | 51.642–61.5 | 261.7251.3–271.2 |
| 2043 | 50.742.7–61 | 261.4250.7–270.1 |
| 2044 | 51.942.4–61.9 | 263.5253.3–271.6 |
| 2045 | 51.542.8–61.1 | 263.7252.3–272.6 |
| 2046 | 5343.7–62.7 | 264251.2–272.4 |
| 2047 | 53.544.5–62.5 | 264.7253.1–274.1 |
| 2048 | 53.144–62.6 | 263.6253.4–273.3 |
| 2049 | 52.843.8–63.3 | 265.6254.3–275.8 |
| 2050 | 53.644.4–63.8 | 266.3254.6–275.6 |
| 2051 | 54.345.1–64.8 | 265254–276.5 |
| 2052 | 53.444.6–63.2 | 266.5255.1–275.9 |
| 2053 | 54.244.2–64.2 | 265.5254.3–277.2 |
| 2054 | 54.545.3–64.8 | 265.6255–277.3 |
| 2055 | 5545.1–65.8 | 266.9255.8–278.4 |
| 2056 | 55.245.1–66.6 | 267.6256.1–278.5 |
| 2057 | 54.844.9–65.7 | 267.1254.9–278 |
| 2058 | 55.145.8–67.7 | 267.4255.2–278.8 |
| 2059 | 55.345.1–67.2 | 267.5255.8–278.8 |
| 2060 | 57.246.9–68.1 | 270.4257.3–280.1 |
| 2061 | 56.546.6–66.3 | 268.7257–278.3 |
| 2062 | 56.846.9–68.5 | 268.3254.5–281.2 |
| 2063 | 57.247.2–68.6 | 268.6256.4–281.7 |
| 2064 | 5747.1–67.7 | 269.5257–281.3 |
| 2065 | 57.347.1–67.8 | 269.1257.2–280.5 |
| 2066 | 57.347.9–68.7 | 270258.8–282.1 |
| 2067 | 57.546.4–68.2 | 270256.7–281.9 |
| 2068 | 58.748.5–70.5 | 271.1256.2–283.4 |
| 2069 | 58.548.4–69 | 271.8258.6–282.9 |
| 2070 | 5847.6–71.7 | 270.7257–281.1 |
| 2071 | 59.347.4–71.6 | 273.3258.5–284.9 |
| 2072 | 59.248.1–71.5 | 271.3257.7–282.6 |
| 2073 | 59.849.1–70.9 | 272.6259.4–284 |
| 2074 | 59.648.7–71.1 | 272.8258.8–285.6 |
| 2075 | 58.748.3–71.4 | 273.1258.5–284.4 |
| 2076 | 60.249–70.9 | 272.6258.9–282.9 |
| 2077 | 60.851.1–72.4 | 273.4259.5–285.8 |
| 2078 | 59.648.8–72.4 | 273.5260.4–284.1 |
| 2079 | 60.750.1–72.6 | 273.1259.6–285.6 |
| 2080 | 59.950–72.3 | 274.1260.6–286.6 |
| 2081 | 60.950–73.2 | 274.1260.6–286.9 |
| 2082 | 6149.8–73.3 | 274.2259.8–283.7 |
| 2083 | 61.251.2–73.6 | 275.7261.4–286.9 |
| 2084 | 61.749.7–74.6 | 275.1261.3–286.7 |
| 2085 | 61.250.8–75.2 | 275260.2–287.9 |
| 2086 | 61.648.9–74.5 | 275.4262.7–287.1 |
| 2087 | 61.650.6–75 | 273.4261–287.5 |
| 2088 | 62.750.5–77.1 | 276.5262.7–287 |
| 2089 | 61.950–75.2 | 275.4261.5–288.4 |
| 2090 | 62.551.4–73.7 | 274.9261.9–288.4 |
| 2091 | 63.852–75.7 | 276.8260.9–289.4 |
| 2092 | 63.251.2–75.1 | 276.8262.1–288.4 |
| 2093 | 63.252–75.4 | 275.4262.9–290.1 |
| 2094 | 6351.1–76.3 | 276.9262.2–288.1 |
| 2095 | 63.952.8–76.4 | 277261.9–287.5 |
| 2096 | 63.852.2–76.8 | 276261.9–293 |
| 2097 | 62.750.7–75.1 | 274.9261.5–288.8 |
| 2098 | 63.451.2–76.8 | 276.6261.6–289.1 |
| 2099 | 63.851.9–76.1 | 276.9261.8–290.6 |
| 2100 | 63.351.7–76.2 | 276.3261.4–287.1 |
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
中国与巴布亚新几内亚对比
健康
人口与社会
- 人口中国:2023 年为 14.2亿 人巴布亚新几内亚:2023 年为 1040万 人
- 人口增长中国:2023 年为 -0.24%/年巴布亚新几内亚:2023 年为 1.8%/年
- 生育率中国:2023 年为 1(每名妇女)巴布亚新几内亚:2023 年为 3.1(每名妇女)
- 城市人口中国:2025 年为 66.3%巴布亚新几内亚:2025 年为 15.8%
- 年龄中位数中国:2023 年为 39.1 年巴布亚新几内亚:2023 年为 22.3 年
- 65 岁及以上人口中国:2023 年为 14.3%巴布亚新几内亚:2023 年为 3.3%
- 净移民率中国:2023 年为 -0.4‰巴布亚新几内亚:2023 年为 -0.1‰
经济
教育
政治
冲突
军用
- 军费开支中国:2025 年为 GDP 的 1.73%巴布亚新几内亚:2025 年为 GDP 的 0.35%
- 军费开支(美元)中国:2025 年为 US$3350亿巴布亚新几内亚:2025 年为 US$1.1亿
- 人均军费开支中国:2025 年为 US$237巴布亚新几内亚:2025 年为 US$10
- 军费占政府支出比例中国:2025 年为 5.1%(占政府支出)巴布亚新几内亚:2025 年为 1.6%(占政府支出)
- 武装部队人员中国:2020 年为 254万 人巴布亚新几内亚:2020 年为 4,000 人
- 国家实力中国:2022 年为 23.41%(占全球实力)巴布亚新几内亚:2022 年为 0.03%(占全球实力)
- 武装部队占劳动力比例中国:2020 年为 0.33%(占劳动力)巴布亚新几内亚:2020 年为 0.12%(占劳动力)
- 武器进口中国:2025 年为 2.07亿 TIV巴布亚新几内亚:2023 年为 900万 TIV