肯尼亚与尼日尔对比
肯尼亚与尼日尔:热带夜
2014 年热带夜:肯尼亚为 245.6 夜,尼日尔为 221.6 夜(CMIP6 气候模型中位数模拟)。 2014 年肯尼亚的数值较高,高出 24 夜,是尼日尔的 1.11 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,肯尼亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年肯尼亚为 277 夜,尼日尔为 251.1 夜。
逐年数据
每年夜数 · CMIP6
| 年份 | 肯尼亚 | 尼日尔 |
|---|---|---|
| 2014 | 245.6 | 221.6 |
| 2013 | 245.4 | 216.1 |
| 2012 | 244.7 | 220.8 |
| 2011 | 245 | 220.1 |
| 2010 | 243.8 | 219.1 |
| 2009 | 242.3 | 217.2 |
| 2008 | 240.3 | 216.8 |
| 2007 | 240.9 | 216.9 |
| 2006 | 241.5 | 214.3 |
| 2005 | 241.2 | 213.6 |
| 2004 | 241.8 | 213.6 |
| 2003 | 240.8 | 215.5 |
| 2002 | 240.7 | 214.6 |
| 2001 | 242 | 213.4 |
| 2000 | 239.5 | 211.2 |
| 1999 | 237.8 | 210.4 |
| 1998 | 239.2 | 207.7 |
| 1997 | 236.9 | 211.5 |
| 1996 | 234.2 | 208.6 |
| 1995 | 232.9 | 208.3 |
| 1994 | 231.9 | 207.8 |
| 1993 | 227.4 | 202.6 |
| 1992 | 224.8 | 203.4 |
| 1991 | 233.8 | 209.4 |
| 1990 | 236.4 | 208.1 |
| 1989 | 234.5 | 206 |
| 1988 | 233.1 | 203 |
| 1987 | 232.6 | 204.9 |
| 1986 | 233 | 206.8 |
| 1985 | 228.7 | 203.9 |
| 1984 | 230.2 | 201.8 |
| 1983 | 226.7 | 200.5 |
| 1982 | 230.6 | 201.9 |
| 1981 | 232.9 | 204.3 |
| 1980 | 231.3 | 200.6 |
| 1979 | 229.6 | 200.5 |
| 1978 | 228.7 | 202 |
| 1977 | 229.9 | 203.8 |
| 1976 | 227.8 | 201.7 |
| 1975 | 225.9 | 199 |
| 1974 | 230.5 | 200.6 |
| 1973 | 230.4 | 202.6 |
| 1972 | 228.7 | 200.7 |
| 1971 | 226 | 200.8 |
| 1970 | 226.3 | 199.8 |
| 1969 | 225.9 | 196.1 |
| 1968 | 222.9 | 200.3 |
| 1967 | 224 | 196.6 |
| 1966 | 225.2 | 198.2 |
| 1965 | 224.2 | 199 |
| 1964 | 221.8 | 199.2 |
| 1963 | 220.2 | 196.7 |
| 1962 | 227.2 | 201.1 |
| 1961 | 228.3 | 198.2 |
| 1960 | 228.8 | 203.2 |
| 1959 | 228.3 | 201.6 |
| 1958 | 229.1 | 199.2 |
| 1957 | 228 | 201.1 |
| 1956 | 225.5 | 199.6 |
| 1955 | 228.7 | 199.7 |
| 1954 | 227.4 | 201.1 |
| 1953 | 227.6 | 196.5 |
| 1952 | 228.5 | 197.9 |
| 1951 | 228.3 | 199.8 |
| 1950 | 226.3 | 200.8 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 肯尼亚 | 尼日尔 |
|---|---|---|
| 2015 | 246.9232.3–256.1 | 218.8202.8–235.8 |
| 2016 | 244.9230.1–255 | 217.7201.8–230.6 |
| 2017 | 248.1233.1–257.7 | 222.4205.2–237.4 |
| 2018 | 248.7237–257.4 | 220.5206.3–238.8 |
| 2019 | 247.1234.8–256.7 | 219.1201.8–238.1 |
| 2020 | 248.6233.2–259.2 | 220.9206.9–234.7 |
| 2021 | 249.5236.3–258.1 | 222.8208.2–240.2 |
| 2022 | 251.5239.7–259.5 | 226.3209.7–239.2 |
| 2023 | 251.8239–260.8 | 223.2206.6–238.4 |
| 2024 | 254.2239.1–263 | 228.4214.3–242.9 |
| 2025 | 251.5238.1–261.8 | 226.7211.2–241 |
| 2026 | 252.2237.2–263.3 | 226.3210–243.1 |
| 2027 | 252.8238.4–263.8 | 228.5209.9–241.1 |
| 2028 | 254.9241.9–264.2 | 227.1211.9–240.2 |
| 2029 | 256243.4–264.6 | 230.4213.3–247.1 |
| 2030 | 253.6240.6–263.1 | 226.4211.6–242.2 |
| 2031 | 256244.7–264.4 | 230.1210.8–247.1 |
| 2032 | 257243.8–267.1 | 228.7212.3–241 |
| 2033 | 256241.8–265.9 | 229.9214.9–245.4 |
| 2034 | 256.2241.2–267.9 | 229.5212.1–244.9 |
| 2035 | 256.7243.3–266.7 | 232.3217.5–248 |
| 2036 | 256.2242.4–266.7 | 230.2213.7–244.6 |
| 2037 | 258.7245.9–268.4 | 233.2215.1–246.5 |
| 2038 | 260.3244.5–268.9 | 234.3218.2–249.7 |
| 2039 | 259244.4–268 | 231214.2–247.1 |
| 2040 | 258.3246.2–269.8 | 230.8214.8–247.5 |
| 2041 | 260.7244.8–271.2 | 232.6218.6–252.9 |
| 2042 | 260.3246.5–272.7 | 233.8216.2–250.5 |
| 2043 | 259246.6–270.5 | 232.5217.8–245.8 |
| 2044 | 261.2248.8–270.9 | 233.8218.2–250.1 |
| 2045 | 261.8248.7–272.9 | 233.6218.1–249.7 |
| 2046 | 264.8249.6–275.3 | 234.3217–250.2 |
| 2047 | 264.4249.8–275.3 | 238.4224.3–253.1 |
| 2048 | 264.2252.3–274.9 | 238221.4–254 |
| 2049 | 265.2252.8–275.6 | 237.7217.4–253 |
| 2050 | 263.9249.8–275.1 | 238.2220.7–254.5 |
| 2051 | 265.4252.1–275.1 | 236.3220.6–254.7 |
| 2052 | 266.3252.6–276.2 | 239.5224.3–255.8 |
| 2053 | 265.2251–275.4 | 236.3223.9–255.6 |
| 2054 | 265.2250.2–277.2 | 239.4220.2–257.9 |
| 2055 | 266.8251.6–277.6 | 238.6223.7–254.7 |
| 2056 | 266.2251.2–277.8 | 239214.7–260.3 |
| 2057 | 266.8253–278 | 240.4223–256.3 |
| 2058 | 266.7251.5–277.9 | 238.2220.2–255.7 |
| 2059 | 269.8254.7–280.5 | 243.9224.6–262.7 |
| 2060 | 271.1253.9–280.7 | 239.8222.6–260 |
| 2061 | 267.5253.9–281.7 | 242.5224.9–258.5 |
| 2062 | 268.1254–281.2 | 241.6222.4–259.8 |
| 2063 | 268.9255–280.1 | 241.3220.9–255.2 |
| 2064 | 270254.1–279.8 | 244.4225.9–259.5 |
| 2065 | 269.4255.8–282.3 | 242.8226.5–262.4 |
| 2066 | 270.6258.1–281 | 245.6227–263.5 |
| 2067 | 270.7256.1–283 | 240.7224.9–262 |
| 2068 | 270.2256–283 | 244224.3–265.4 |
| 2069 | 269.8256.1–283.3 | 243.9225.5–261.6 |
| 2070 | 270.1255.8–282.6 | 243.1225.6–261.3 |
| 2071 | 271.9257.9–284.4 | 246.1230.3–264 |
| 2072 | 273.5260.3–283.8 | 247.9229.9–263.7 |
| 2073 | 273.1259.9–285.4 | 243.4225.4–262.8 |
| 2074 | 271.9257.5–285.4 | 243.2224.4–264.6 |
| 2075 | 271.1256.5–284.7 | 244.3230.2–263.3 |
| 2076 | 274.1258.6–285.8 | 246.5228.5–266.6 |
| 2077 | 273.4259–286.6 | 250.1232.3–267.4 |
| 2078 | 273.1260–284.4 | 249.2230.8–264.5 |
| 2079 | 273.3258.7–286.6 | 244.4228.7–263.8 |
| 2080 | 275.5259.4–286.9 | 248.8230.4–267 |
| 2081 | 274.7259.8–285.6 | 247227.8–268.1 |
| 2082 | 274.8261.3–286.4 | 247230.6–264.4 |
| 2083 | 274259.6–289.3 | 247.3230.7–267.5 |
| 2084 | 276.8259–288.8 | 247.7229.4–265.2 |
| 2085 | 276.2261.5–289.1 | 248.9227–264.2 |
| 2086 | 275.1260–289.1 | 250.4230.9–269.5 |
| 2087 | 276.2260.3–288.5 | 245.8226.2–266.9 |
| 2088 | 276.8261.6–289.7 | 248.3226.7–271.1 |
| 2089 | 275.9260.3–288.8 | 251.9232.5–269.5 |
| 2090 | 275.3260.5–290.5 | 249.7227.7–267.4 |
| 2091 | 277.7260.4–290.9 | 248.9230.5–272.2 |
| 2092 | 276.2261.2–290.7 | 251229.8–274 |
| 2093 | 276.9262–290.1 | 249.9234.8–267 |
| 2094 | 277262.8–288.9 | 252.2234–267.5 |
| 2095 | 278.4262.3–290.4 | 251.1233–270.7 |
| 2096 | 277.6260.5–292 | 250.8234.8–270.4 |
| 2097 | 277261–290.2 | 250.2227.8–270.8 |
| 2098 | 277.6262.3–291.5 | 250.1228.1–268.5 |
| 2099 | 277.9260.8–292.4 | 251.9232.2–268.2 |
| 2100 | 277261.8–290.4 | 251.1234.5–271.5 |
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
肯尼亚与尼日尔对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支肯尼亚:2025 年为 GDP 的 1.07%尼日尔:2025 年为 GDP 的 2.14%
- 军费开支(美元)肯尼亚:2025 年为 US$13.6亿尼日尔:2025 年为 US$4.5亿
- 人均军费开支肯尼亚:2025 年为 US$26尼日尔:2025 年为 US$18
- 军费占政府支出比例肯尼亚:2025 年为 4.6%(占政府支出)尼日尔:2025 年为 15.2%(占政府支出)
- 武装部队人员肯尼亚:2020 年为 24,000 人尼日尔:2020 年为 10,000 人
- 国家实力肯尼亚:2022 年为 0.23%(占全球实力)尼日尔:2022 年为 0.11%(占全球实力)
- 武装部队占劳动力比例肯尼亚:2020 年为 0.11%(占劳动力)尼日尔:2020 年为 0.11%(占劳动力)
- 武器进口肯尼亚:2025 年为 1.17亿 TIV尼日尔:2025 年为 400万 TIV
- 武器出口肯尼亚:1993 年为 200万 TIV尼日尔:1973 年为 0 TIV