哥斯达黎加与巴拿马对比
哥斯达黎加与巴拿马:热带夜
2014 年热带夜:哥斯达黎加为 231.5 夜,巴拿马为 325.8 夜(CMIP6 气候模型中位数模拟)。 2014 年巴拿马的数值较高,高出 94.3 夜,是哥斯达黎加的 1.41 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,巴拿马的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年哥斯达黎加为 274.2 夜,巴拿马为 346.5 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 哥斯达黎加 | 巴拿马 |
|---|---|---|
| 2014 | 231.5 | 325.8 |
| 2013 | 232.6 | 326.8 |
| 2012 | 234.6 | 326.9 |
| 2011 | 233.5 | 326 |
| 2010 | 229.7 | 324.9 |
| 2009 | 230.1 | 325.2 |
| 2008 | 228.1 | 324.7 |
| 2007 | 227.3 | 324.4 |
| 2006 | 226 | 323.5 |
| 2005 | 229.2 | 324.3 |
| 2004 | 230.1 | 325.3 |
| 2003 | 225.9 | 323.5 |
| 2002 | 225.6 | 323.4 |
| 2001 | 226.7 | 323.8 |
| 2000 | 223.2 | 322.3 |
| 1999 | 222.8 | 321.5 |
| 1998 | 222 | 321.5 |
| 1997 | 222.3 | 321.2 |
| 1996 | 219.4 | 319.9 |
| 1995 | 216.6 | 318.7 |
| 1994 | 215.7 | 318.3 |
| 1993 | 212.3 | 316 |
| 1992 | 211.9 | 315.6 |
| 1991 | 220.6 | 320.4 |
| 1990 | 221.3 | 320.4 |
| 1989 | 217.3 | 319.2 |
| 1988 | 216 | 318.8 |
| 1987 | 216.1 | 318.9 |
| 1986 | 215.1 | 317.5 |
| 1985 | 211.6 | 315.8 |
| 1984 | 212 | 315.6 |
| 1983 | 210.8 | 314.8 |
| 1982 | 214.3 | 316.9 |
| 1981 | 215.3 | 317.9 |
| 1980 | 213.9 | 316.8 |
| 1979 | 213.7 | 316.1 |
| 1978 | 213.1 | 316.7 |
| 1977 | 214.6 | 317.4 |
| 1976 | 212.3 | 316.2 |
| 1975 | 208.8 | 314 |
| 1974 | 212.4 | 315.4 |
| 1973 | 212.4 | 316.8 |
| 1972 | 210.2 | 314.9 |
| 1971 | 209.7 | 314.7 |
| 1970 | 210.3 | 314.6 |
| 1969 | 208.6 | 313.5 |
| 1968 | 208.1 | 313.2 |
| 1967 | 207.2 | 310.8 |
| 1966 | 206.8 | 312.7 |
| 1965 | 207 | 313.1 |
| 1964 | 207.3 | 312.4 |
| 1963 | 207.7 | 311.9 |
| 1962 | 210.2 | 314.9 |
| 1961 | 212.6 | 315.4 |
| 1960 | 212.7 | 316.1 |
| 1959 | 210.9 | 315.5 |
| 1958 | 213.4 | 315.5 |
| 1957 | 210.8 | 315.3 |
| 1956 | 209.6 | 314.3 |
| 1955 | 211.8 | 314.9 |
| 1954 | 211.4 | 315.1 |
| 1953 | 210 | 314.6 |
| 1952 | 209.6 | 314.5 |
| 1951 | 210.8 | 315.2 |
| 1950 | 209 | 313.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 哥斯达黎加 | 巴拿马 |
|---|---|---|
| 2015 | 235.9217.7–248.6 | 327.9317–333.8 |
| 2016 | 233.8217.1–247.7 | 326.8317.3–334.8 |
| 2017 | 237.7221.3–247.6 | 328.9318.4–333.4 |
| 2018 | 238224.7–250 | 329.3320.7–334.9 |
| 2019 | 237.5221.6–250.6 | 328.8318.7–334.8 |
| 2020 | 240.3224.1–253 | 330.1319.2–336.6 |
| 2021 | 241.2228.2–252.3 | 330.7321.4–335.4 |
| 2022 | 243.6227–255.4 | 331.8321.6–337.4 |
| 2023 | 242.3225.3–254.5 | 330.7321.1–337.7 |
| 2024 | 243.7226.6–255.1 | 331.6320.9–338 |
| 2025 | 244.3227.6–258.7 | 331.9320.8–339.1 |
| 2026 | 245.1225.1–257.9 | 332.3320.5–338.8 |
| 2027 | 245.5224.5–256.1 | 332.3320.4–338.1 |
| 2028 | 246.5230.6–258.5 | 333323.7–339.3 |
| 2029 | 246.4230.5–259.1 | 333.3323.3–340 |
| 2030 | 246.3227.9–258.8 | 333.1321.3–339.6 |
| 2031 | 248.2230.4–260.5 | 334323.2–340.9 |
| 2032 | 250.8237.2–263.6 | 334.8325.4–342.5 |
| 2033 | 249.9235.3–259.7 | 334.5324.1–339.7 |
| 2034 | 247.9234.7–263.4 | 333.4324.5–341.3 |
| 2035 | 249.9233.1–262.2 | 334.3324.1–340.5 |
| 2036 | 249.2235.6–260 | 334.8325.5–339.9 |
| 2037 | 253.4241.1–263.7 | 336.4327.1–341.4 |
| 2038 | 254239.2–264.3 | 336.7327.1–341.4 |
| 2039 | 251.6237.8–264.6 | 334.7326.4–341.9 |
| 2040 | 253.1239.8–265.6 | 336.7327.4–343.1 |
| 2041 | 253.6240–266.7 | 336.5327.2–342.3 |
| 2042 | 255.3241.5–267.9 | 337.8327.7–343.3 |
| 2043 | 251.9239.4–267.5 | 336.1327.1–343.7 |
| 2044 | 253.3238.6–268.6 | 336.9326.9–343.5 |
| 2045 | 255.4241.8–266 | 337.5327.8–342.5 |
| 2046 | 258.3241.7–269.3 | 339328–344.5 |
| 2047 | 257.1245–269.8 | 338.5329.6–344.9 |
| 2048 | 258.5246.5–271.4 | 339.8330.5–345.6 |
| 2049 | 259.5245.9–269.9 | 339.9330.3–344.4 |
| 2050 | 258.4244.6–275.3 | 339329.7–346.9 |
| 2051 | 259.5244.3–271.6 | 339.9329.1–345.7 |
| 2052 | 261247.3–272.8 | 340.1330.8–346.5 |
| 2053 | 259.1244.9–273.7 | 339.5329.7–346.6 |
| 2054 | 259.4246.5–279 | 339.9330.1–347.7 |
| 2055 | 260.9247.8–276.1 | 340.3330.8–347.9 |
| 2056 | 261.8247.9–275.2 | 340.7331.3–347.9 |
| 2057 | 262.2245.4–273.9 | 340.7329.9–346.7 |
| 2058 | 262.1249.2–278.5 | 340.7330.5–348.6 |
| 2059 | 264.3251.3–277.6 | 341.6332.1–348.5 |
| 2060 | 265.4249.2–280.8 | 342.9332–349.8 |
| 2061 | 263.1249.3–278.4 | 341.8331.7–348.7 |
| 2062 | 262.7247.1–281 | 341.5330.3–349.7 |
| 2063 | 264.2251.7–279.2 | 342.1331.7–350.1 |
| 2064 | 263.6251.1–278.7 | 342331.8–349.3 |
| 2065 | 264.6251.9–280.9 | 342.3332.7–350.6 |
| 2066 | 264.9252.7–282.3 | 342.3333–350.1 |
| 2067 | 265.8251.4–278.9 | 342.8331.6–349.5 |
| 2068 | 267.2252.6–280.6 | 343.4332.5–350.1 |
| 2069 | 264250.9–281.5 | 342.2332.7–350 |
| 2070 | 264.3250.1–282.5 | 342332.3–351.5 |
| 2071 | 267250.6–281.2 | 343.6332.3–350.7 |
| 2072 | 268.4251.2–285 | 343.8332.7–353.1 |
| 2073 | 268.7250.6–287.9 | 343.9333.5–353 |
| 2074 | 268.2252.6–284.1 | 344333.4–351.5 |
| 2075 | 267.8251.4–281.3 | 343.4332.7–350.2 |
| 2076 | 269.1251.2–283.8 | 343.7333.1–352.6 |
| 2077 | 269.5254.1–283.4 | 344.7334–351.9 |
| 2078 | 272.2254.3–284.7 | 345.4333.5–351.5 |
| 2079 | 268.3252.3–285.1 | 343.9333.2–352.4 |
| 2080 | 269.4252–285 | 344.3333.1–352.6 |
| 2081 | 270.1254–283.7 | 344.4333.5–351.7 |
| 2082 | 270.6254–281.9 | 345.3334.2–350.6 |
| 2083 | 269.1255.9–288.2 | 344.4334.5–353.4 |
| 2084 | 271253.3–285.2 | 345.5333.8–352.4 |
| 2085 | 271.7256.1–288.4 | 345.8334.5–353.7 |
| 2086 | 269.7255.9–288.5 | 344.6334.4–354.4 |
| 2087 | 270.8255.1–284.6 | 345.6334.9–351.8 |
| 2088 | 271.8254.5–289.5 | 345.3334.9–354.4 |
| 2089 | 270.7255.5–289.6 | 344.7334.5–353.9 |
| 2090 | 272.6257.2–284.9 | 345.6335.7–352.7 |
| 2091 | 274.9253.8–288.8 | 346.5334.3–353.4 |
| 2092 | 272.1256.2–288.6 | 345.6335.2–354.9 |
| 2093 | 270.5257.2–290.6 | 344.7335.8–354.6 |
| 2094 | 272.7257.2–287.5 | 345.6334.8–353.4 |
| 2095 | 275.6256.9–288.5 | 347.2334.9–353.6 |
| 2096 | 272.5257.7–292.4 | 346.4335.9–355.6 |
| 2097 | 272257.7–287 | 346335.1–353 |
| 2098 | 273.9255.6–288.3 | 346.2334.8–353.6 |
| 2099 | 273.5254.6–289 | 346.4334.3–353.9 |
| 2100 | 274.2256.5–287.5 | 346.5334.8–353.6 |
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
哥斯达黎加与巴拿马对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支哥斯达黎加:2025 年为 GDP 的 0%巴拿马:2025 年为 GDP 的 0%
- 军费开支(美元)哥斯达黎加:2025 年为 US$0巴拿马:2025 年为 US$0
- 人均军费开支哥斯达黎加:2025 年为 US$0巴拿马:2025 年为 US$0
- 军费占政府支出比例哥斯达黎加:2025 年为 0%(占政府支出)巴拿马:2025 年为 0%(占政府支出)
- 武装部队人员哥斯达黎加:2020 年为 10,000 人巴拿马:2020 年为 28,000 人
- 国家实力哥斯达黎加:2022 年为 0.03%(占全球实力)巴拿马:2022 年为 0.03%(占全球实力)
- 武装部队占劳动力比例哥斯达黎加:2020 年为 0.41%(占劳动力)巴拿马:2020 年为 1.33%(占劳动力)
- 武器进口哥斯达黎加:2019 年为 800万 TIV巴拿马:1989 年为 200万 TIV
- 武器出口哥斯达黎加:2009 年为 300万 TIV巴拿马:2019 年为 100万 TIV