尼日尔与苏丹对比
尼日尔与苏丹:热带夜
2014 年热带夜:尼日尔为 221.6 夜,苏丹为 242.4 夜(CMIP6 气候模型中位数模拟)。 2014 年苏丹的数值较高,高出 20.8 夜,是尼日尔的 1.09 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,苏丹的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年尼日尔为 251.1 夜,苏丹为 278.6 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 尼日尔 | 苏丹 |
|---|---|---|
| 2014 | 221.6 | 242.4 |
| 2013 | 216.1 | 240 |
| 2012 | 220.8 | 242 |
| 2011 | 220.1 | 242.2 |
| 2010 | 219.1 | 240.6 |
| 2009 | 217.2 | 236.5 |
| 2008 | 216.8 | 237.1 |
| 2007 | 216.9 | 236 |
| 2006 | 214.3 | 235.3 |
| 2005 | 213.6 | 233.1 |
| 2004 | 213.6 | 233.5 |
| 2003 | 215.5 | 235.6 |
| 2002 | 214.6 | 234.7 |
| 2001 | 213.4 | 235.4 |
| 2000 | 211.2 | 230.5 |
| 1999 | 210.4 | 232.1 |
| 1998 | 207.7 | 230.2 |
| 1997 | 211.5 | 231.1 |
| 1996 | 208.6 | 227.3 |
| 1995 | 208.3 | 227.8 |
| 1994 | 207.8 | 225.3 |
| 1993 | 202.6 | 219.1 |
| 1992 | 203.4 | 217.8 |
| 1991 | 209.4 | 227.3 |
| 1990 | 208.1 | 227.5 |
| 1989 | 206 | 223 |
| 1988 | 203 | 223.1 |
| 1987 | 204.9 | 224.4 |
| 1986 | 206.8 | 226.4 |
| 1985 | 203.9 | 222.1 |
| 1984 | 201.8 | 220.7 |
| 1983 | 200.5 | 217 |
| 1982 | 201.9 | 216.3 |
| 1981 | 204.3 | 223.2 |
| 1980 | 200.6 | 220 |
| 1979 | 200.5 | 218.4 |
| 1978 | 202 | 218.5 |
| 1977 | 203.8 | 219.3 |
| 1976 | 201.7 | 220.1 |
| 1975 | 199 | 215.7 |
| 1974 | 200.6 | 217.5 |
| 1973 | 202.6 | 220 |
| 1972 | 200.7 | 217.9 |
| 1971 | 200.8 | 215.5 |
| 1970 | 199.8 | 217 |
| 1969 | 196.1 | 213.1 |
| 1968 | 200.3 | 214 |
| 1967 | 196.6 | 210.3 |
| 1966 | 198.2 | 213.3 |
| 1965 | 199 | 213.4 |
| 1964 | 199.2 | 213.2 |
| 1963 | 196.7 | 210.1 |
| 1962 | 201.1 | 217 |
| 1961 | 198.2 | 216.9 |
| 1960 | 203.2 | 221.3 |
| 1959 | 201.6 | 217.8 |
| 1958 | 199.2 | 216.2 |
| 1957 | 201.1 | 218.9 |
| 1956 | 199.6 | 217.2 |
| 1955 | 199.7 | 216.6 |
| 1954 | 201.1 | 218.9 |
| 1953 | 196.5 | 215.1 |
| 1952 | 197.9 | 216.4 |
| 1951 | 199.8 | 218.5 |
| 1950 | 200.8 | 214.1 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 尼日尔 | 苏丹 |
|---|---|---|
| 2015 | 218.8202.8–235.8 | 242.3225.3–258.3 |
| 2016 | 217.7201.8–230.6 | 241.4223.3–254.1 |
| 2017 | 222.4205.2–237.4 | 243.2223–259.1 |
| 2018 | 220.5206.3–238.8 | 242.3226.4–258.5 |
| 2019 | 219.1201.8–238.1 | 243.1221.7–260.4 |
| 2020 | 220.9206.9–234.7 | 244.9225.9–261.7 |
| 2021 | 222.8208.2–240.2 | 245.6229.1–261.5 |
| 2022 | 226.3209.7–239.2 | 249230.9–262.3 |
| 2023 | 223.2206.6–238.4 | 247.1226.8–263.1 |
| 2024 | 228.4214.3–242.9 | 251.5232.8–266.1 |
| 2025 | 226.7211.2–241 | 250.7232.4–265.6 |
| 2026 | 226.3210–243.1 | 250230.8–266.6 |
| 2027 | 228.5209.9–241.1 | 248.8228.4–265.6 |
| 2028 | 227.1211.9–240.2 | 249232.2–263.1 |
| 2029 | 230.4213.3–247.1 | 251.4232.1–266 |
| 2030 | 226.4211.6–242.2 | 252235.4–266.7 |
| 2031 | 230.1210.8–247.1 | 253.3234.4–268.9 |
| 2032 | 228.7212.3–241 | 250.4232.3–266.6 |
| 2033 | 229.9214.9–245.4 | 254.4235.3–269.4 |
| 2034 | 229.5212.1–244.9 | 254.2234.5–269.9 |
| 2035 | 232.3217.5–248 | 258.3240.2–273.6 |
| 2036 | 230.2213.7–244.6 | 252.8235.6–268.6 |
| 2037 | 233.2215.1–246.5 | 256.7238.6–271.8 |
| 2038 | 234.3218.2–249.7 | 258.7244.8–272.1 |
| 2039 | 231214.2–247.1 | 259.5241.2–272.5 |
| 2040 | 230.8214.8–247.5 | 256.4236.7–272.3 |
| 2041 | 232.6218.6–252.9 | 259.1241.2–274.5 |
| 2042 | 233.8216.2–250.5 | 258.7242–274.7 |
| 2043 | 232.5217.8–245.8 | 258.1240.3–272.6 |
| 2044 | 233.8218.2–250.1 | 257.3238.6–274.7 |
| 2045 | 233.6218.1–249.7 | 258.8243.1–276.2 |
| 2046 | 234.3217–250.2 | 261.1241.7–277.6 |
| 2047 | 238.4224.3–253.1 | 261.4244.6–278.4 |
| 2048 | 238221.4–254 | 260.4243.4–279.5 |
| 2049 | 237.7217.4–253 | 261.9242.6–275.9 |
| 2050 | 238.2220.7–254.5 | 263.5245.4–279 |
| 2051 | 236.3220.6–254.7 | 263.6246.6–278.8 |
| 2052 | 239.5224.3–255.8 | 263.8248.7–278.3 |
| 2053 | 236.3223.9–255.6 | 262.8242.4–279.2 |
| 2054 | 239.4220.2–257.9 | 266.3246.6–282.9 |
| 2055 | 238.6223.7–254.7 | 265.6245.9–281.4 |
| 2056 | 239214.7–260.3 | 264.1242.6–281.5 |
| 2057 | 240.4223–256.3 | 266.4247.6–283.4 |
| 2058 | 238.2220.2–255.7 | 265.2247.4–280.3 |
| 2059 | 243.9224.6–262.7 | 268.4249.6–285.4 |
| 2060 | 239.8222.6–260 | 263.6246.7–284.4 |
| 2061 | 242.5224.9–258.5 | 266.9250.1–281.9 |
| 2062 | 241.6222.4–259.8 | 266.4248.5–285 |
| 2063 | 241.3220.9–255.2 | 267.1246.9–283.4 |
| 2064 | 244.4225.9–259.5 | 269250.7–284.7 |
| 2065 | 242.8226.5–262.4 | 269.8253.9–285.6 |
| 2066 | 245.6227–263.5 | 271.4251.9–287.3 |
| 2067 | 240.7224.9–262 | 270.9250–288.4 |
| 2068 | 244224.3–265.4 | 271.9251.7–289.8 |
| 2069 | 243.9225.5–261.6 | 268251.1–286.2 |
| 2070 | 243.1225.6–261.3 | 269252.3–285.8 |
| 2071 | 246.1230.3–264 | 275.5254.1–290.4 |
| 2072 | 247.9229.9–263.7 | 273.3254.2–289.4 |
| 2073 | 243.4225.4–262.8 | 271.9250.7–287.6 |
| 2074 | 243.2224.4–264.6 | 270.9249–290.1 |
| 2075 | 244.3230.2–263.3 | 273.1254–291.9 |
| 2076 | 246.5228.5–266.6 | 272.7255.2–290.9 |
| 2077 | 250.1232.3–267.4 | 274.6255.2–292.7 |
| 2078 | 249.2230.8–264.5 | 274.3255.6–291.2 |
| 2079 | 244.4228.7–263.8 | 272255.2–288.5 |
| 2080 | 248.8230.4–267 | 276.6256–292.2 |
| 2081 | 247227.8–268.1 | 275.1254.1–294.8 |
| 2082 | 247230.6–264.4 | 272.9258.7–288.6 |
| 2083 | 247.3230.7–267.5 | 276.5258–291.7 |
| 2084 | 247.7229.4–265.2 | 275.4253–294.9 |
| 2085 | 248.9227–264.2 | 275.3258.6–291.6 |
| 2086 | 250.4230.9–269.5 | 276.4256.9–296.6 |
| 2087 | 245.8226.2–266.9 | 273.5253.1–293.3 |
| 2088 | 248.3226.7–271.1 | 273.6253.7–293.6 |
| 2089 | 251.9232.5–269.5 | 276.5256.6–293.4 |
| 2090 | 249.7227.7–267.4 | 276.6256.4–294.6 |
| 2091 | 248.9230.5–272.2 | 277.4256.4–296.6 |
| 2092 | 251229.8–274 | 274.6254.3–294.9 |
| 2093 | 249.9234.8–267 | 278261.9–292.1 |
| 2094 | 252.2234–267.5 | 280.3262.2–294 |
| 2095 | 251.1233–270.7 | 277.5262.6–294 |
| 2096 | 250.8234.8–270.4 | 279.7258.7–297 |
| 2097 | 250.2227.8–270.8 | 276.3254.1–297.6 |
| 2098 | 250.1228.1–268.5 | 277.7258.2–295.5 |
| 2099 | 251.9232.2–268.2 | 276.8257.2–296.2 |
| 2100 | 251.1234.5–271.5 | 278.6259–294.3 |
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
尼日尔与苏丹对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支尼日尔:2025 年为 GDP 的 2.14%苏丹:2021 年为 GDP 的 0.93%
- 军费开支(美元)尼日尔:2025 年为 US$4.5亿苏丹:2021 年为 US$27.7亿
- 人均军费开支尼日尔:2025 年为 US$18苏丹:2021 年为 US$8
- 军费占政府支出比例尼日尔:2025 年为 15.2%(占政府支出)苏丹:2021 年为 9.5%(占政府支出)
- 武装部队人员尼日尔:2020 年为 10,000 人苏丹:2020 年为 144,000 人
- 国家实力尼日尔:2022 年为 0.11%(占全球实力)苏丹:2022 年为 0.37%(占全球实力)
- 武装部队占劳动力比例尼日尔:2020 年为 0.11%(占劳动力)苏丹:2020 年为 1.34%(占劳动力)
- 武器进口尼日尔:2025 年为 400万 TIV苏丹:2025 年为 5700万 TIV
- 武器出口尼日尔:1973 年为 0 TIV苏丹:2013 年为 1100万 TIV