布隆迪与尼日尔对比
布隆迪与尼日尔:35 °C 以上天数
2014 年35 °C 以上天数:布隆迪为 0 天,尼日尔为 209.1 天(CMIP6 气候模型中位数模拟)。 2014 年尼日尔的数值较高,高出 209.1 天。
每年天数 · CMIP6
数据解读
- 自 1950 年以来,在两国都有数据的每一年,尼日尔的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年布隆迪为 0.1 天,尼日尔为 242.2 天。
逐年数据
每年天数 · CMIP6
| 年份 | 布隆迪 | 尼日尔 |
|---|---|---|
| 2014 | 0 | 209.1 |
| 2013 | 0 | 205.4 |
| 2012 | 0 | 206 |
| 2011 | 0 | 207.1 |
| 2010 | 0 | 205.9 |
| 2009 | 0 | 204.2 |
| 2008 | 0 | 204.4 |
| 2007 | 0 | 201.3 |
| 2006 | 0 | 198.7 |
| 2005 | 0 | 200.6 |
| 2004 | 0 | 199.3 |
| 2003 | 0 | 201.3 |
| 2002 | 0 | 202.4 |
| 2001 | 0 | 201.1 |
| 2000 | 0 | 197.9 |
| 1999 | 0 | 196.9 |
| 1998 | 0 | 192.7 |
| 1997 | 0 | 197.8 |
| 1996 | 0 | 194.5 |
| 1995 | 0 | 193.7 |
| 1994 | 0 | 193.1 |
| 1993 | 0 | 186.1 |
| 1992 | 0 | 187.1 |
| 1991 | 0 | 195.9 |
| 1990 | 0 | 192.7 |
| 1989 | 0 | 192.9 |
| 1988 | 0 | 190.4 |
| 1987 | 0 | 190.2 |
| 1986 | 0 | 196.3 |
| 1985 | 0 | 189.1 |
| 1984 | 0 | 189.6 |
| 1983 | 0 | 189.7 |
| 1982 | 0 | 187.5 |
| 1981 | 0 | 190.9 |
| 1980 | 0 | 191.8 |
| 1979 | 0 | 189.1 |
| 1978 | 0 | 186.3 |
| 1977 | 0 | 190.8 |
| 1976 | 0 | 189.5 |
| 1975 | 0 | 185 |
| 1974 | 0 | 184.8 |
| 1973 | 0 | 192.4 |
| 1972 | 0 | 189.8 |
| 1971 | 0 | 186.7 |
| 1970 | 0 | 188.9 |
| 1969 | 0 | 184.3 |
| 1968 | 0 | 188.6 |
| 1967 | 0 | 183.6 |
| 1966 | 0 | 185.4 |
| 1965 | 0 | 185.7 |
| 1964 | 0 | 181.4 |
| 1963 | 0 | 179.4 |
| 1962 | 0 | 189 |
| 1961 | 0 | 186.5 |
| 1960 | 0 | 194.1 |
| 1959 | 0 | 190.2 |
| 1958 | 0 | 186.8 |
| 1957 | 0 | 194 |
| 1956 | 0 | 188.3 |
| 1955 | 0 | 188.8 |
| 1954 | 0 | 189 |
| 1953 | 0 | 188.3 |
| 1952 | 0 | 188.4 |
| 1951 | 0 | 190.5 |
| 1950 | 0 | 189.6 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 布隆迪 | 尼日尔 |
|---|---|---|
| 2015 | 00–0 | 205.1180.6–228.1 |
| 2016 | 00–0 | 204.2180.2–222.1 |
| 2017 | 00–0 | 210.9185.3–233.6 |
| 2018 | 00–0 | 206183.2–227.4 |
| 2019 | 00–0 | 206.7178.9–231.2 |
| 2020 | 00–0 | 207.9183.1–226.7 |
| 2021 | 00–0 | 209189.8–228 |
| 2022 | 00–0 | 213190.1–231 |
| 2023 | 00–0 | 207186.6–229.1 |
| 2024 | 00–0 | 216.5197.3–234.6 |
| 2025 | 00–0 | 214.6195.3–232 |
| 2026 | 00–0 | 210.3178.5–235.6 |
| 2027 | 00–0 | 216.5188.8–235.6 |
| 2028 | 00–0 | 217188.5–233.4 |
| 2029 | 00–0 | 218.1194.8–237.8 |
| 2030 | 00–0 | 217.1191.5–237 |
| 2031 | 00–0 | 215195.1–239.7 |
| 2032 | 00–0 | 213.2192.1–232 |
| 2033 | 00–0 | 217.2196.1–237 |
| 2034 | 00–0 | 216.7191–240 |
| 2035 | 00–0 | 219.7195.8–235.8 |
| 2036 | 00–0 | 216.2196–236.1 |
| 2037 | 00–0 | 222.3199.9–240.2 |
| 2038 | 00–0 | 219.5198.9–243.8 |
| 2039 | 00–0 | 218.3195.6–242.5 |
| 2040 | 00–0 | 218.7200.4–240.1 |
| 2041 | 00–0 | 222.2200.4–245 |
| 2042 | 00–0 | 222201.7–244.6 |
| 2043 | 00–0 | 220.5198.6–236.4 |
| 2044 | 00–0 | 218.2198.9–241.6 |
| 2045 | 00–0 | 222202–242 |
| 2046 | 00–0 | 225.1198–243 |
| 2047 | 00–0 | 229.1204.3–245.7 |
| 2048 | 00–0.1 | 225.8200.7–247.3 |
| 2049 | 00–0 | 222.4197.3–242.8 |
| 2050 | 00–0.1 | 224.7203.3–246.8 |
| 2051 | 00–0 | 224.6203.8–242.1 |
| 2052 | 00–0 | 229.7204.6–252.7 |
| 2053 | 00–0.1 | 225.2204.6–248.6 |
| 2054 | 00–0.1 | 229199.7–252.3 |
| 2055 | 00–0 | 230.7210.5–249.6 |
| 2056 | 00–0.1 | 229.8199.3–254.5 |
| 2057 | 00–0.1 | 231.1205.6–251.8 |
| 2058 | 00–0.1 | 226.7203.5–249.9 |
| 2059 | 00–0.1 | 233.3210.7–256 |
| 2060 | 00–0.2 | 230.9206.7–251.3 |
| 2061 | 00–0.2 | 232.3207.4–256.9 |
| 2062 | 00–0.3 | 233211.8–254.7 |
| 2063 | 00–0.2 | 228.8206.1–248.5 |
| 2064 | 00–0.3 | 232.3207.9–252.9 |
| 2065 | 00–0.2 | 233.4211.8–253.6 |
| 2066 | 00–0.2 | 236.5212.7–261.5 |
| 2067 | 00–0.2 | 229.1206.5–253.3 |
| 2068 | 00–0.3 | 233.9210.6–259.9 |
| 2069 | 00–0.3 | 233.2210.6–253.7 |
| 2070 | 00–0.3 | 235.8209.1–254.8 |
| 2071 | 00–0.2 | 237.9218.7–258.9 |
| 2072 | 00–0.2 | 237.9218–259.8 |
| 2073 | 00–0.3 | 235.1210–259.4 |
| 2074 | 00–0.3 | 235.2212.8–261.3 |
| 2075 | 00–0.3 | 239.3212.9–259.7 |
| 2076 | 00–0.4 | 238.9215.3–262.6 |
| 2077 | 00–0.3 | 242218.1–264 |
| 2078 | 00–0.5 | 241.4216.1–262.3 |
| 2079 | 00–0.3 | 235.6213.1–259.6 |
| 2080 | 00–0.3 | 238.2215.8–263.6 |
| 2081 | 00–0.4 | 240.1217.1–267.5 |
| 2082 | 00–0.6 | 238215.5–261.3 |
| 2083 | 00–0.5 | 242.5216.2–264 |
| 2084 | 00–0.4 | 239.2214.3–261.4 |
| 2085 | 0.10–0.4 | 241.7216.6–264.8 |
| 2086 | 00–0.3 | 240.9220–270.6 |
| 2087 | 00–0.5 | 236.9208.4–262.9 |
| 2088 | 00–0.4 | 236.9216.5–271.3 |
| 2089 | 00–0.3 | 242.4215.5–267.5 |
| 2090 | 00–0.4 | 242.1213.6–262.2 |
| 2091 | 0.10–1.1 | 241.3218.9–266.5 |
| 2092 | 00–0.8 | 245217.6–266.3 |
| 2093 | 00–0.6 | 242.2219.3–262.9 |
| 2094 | 0.10–0.9 | 245.1220.3–263.4 |
| 2095 | 0.10–0.9 | 244.1218.8–266.6 |
| 2096 | 0.10–0.7 | 241.9225.1–264.5 |
| 2097 | 00–0.6 | 241.4218–265.6 |
| 2098 | 00–1 | 240.8215.3–263.5 |
| 2099 | 00–0.6 | 247.1221.7–265.4 |
| 2100 | 0.10–0.7 | 242.2221.3–266.4 |
分别查看各国
须知
- 一年中最高气温超过 35 °C 的天数,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
布隆迪与尼日尔对比
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军用
- 军费开支布隆迪:2025 年为 GDP 的 3.24%尼日尔:2025 年为 GDP 的 2.14%
- 军费开支(美元)布隆迪:2025 年为 US$1.69亿尼日尔:2025 年为 US$4.5亿
- 人均军费开支布隆迪:2025 年为 US$16尼日尔:2025 年为 US$18
- 军费占政府支出比例布隆迪:2025 年为 14.9%(占政府支出)尼日尔:2025 年为 15.2%(占政府支出)
- 武装部队人员布隆迪:2020 年为 31,000 人尼日尔:2020 年为 10,000 人
- 国家实力布隆迪:2022 年为 0.06%(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布隆迪:2020 年为 0.59%(占劳动力)尼日尔:2020 年为 0.11%(占劳动力)
- 武器进口布隆迪:2019 年为 200万 TIV尼日尔:2025 年为 400万 TIV