尼日利亚与卢旺达对比
尼日利亚与卢旺达:35 °C 以上天数
2014 年35 °C 以上天数:尼日利亚为 107.4 天,卢旺达为 0 天(CMIP6 气候模型中位数模拟)。 2014 年尼日利亚的数值较高,高出 107.4 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,尼日利亚的数值都更高。
- 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年尼日利亚为 163.6 天,卢旺达为 0 天。
逐年数据
每年天数 · CMIP6
| 年份 | 尼日利亚 | 卢旺达 |
|---|---|---|
| 2014 | 107.4 | 0 |
| 2013 | 104.3 | 0 |
| 2012 | 104.4 | 0 |
| 2011 | 103.7 | 0 |
| 2010 | 101.1 | 0 |
| 2009 | 99.4 | 0 |
| 2008 | 98.6 | 0 |
| 2007 | 97.4 | 0 |
| 2006 | 97.9 | 0 |
| 2005 | 97.2 | 0 |
| 2004 | 99.2 | 0 |
| 2003 | 98.2 | 0 |
| 2002 | 98.3 | 0 |
| 2001 | 102.2 | 0 |
| 2000 | 96.3 | 0 |
| 1999 | 92.3 | 0 |
| 1998 | 91.6 | 0 |
| 1997 | 95.2 | 0 |
| 1996 | 89.5 | 0 |
| 1995 | 90.2 | 0 |
| 1994 | 86.1 | 0 |
| 1993 | 83.5 | 0 |
| 1992 | 81.3 | 0 |
| 1991 | 94.2 | 0 |
| 1990 | 95 | 0 |
| 1989 | 89.3 | 0 |
| 1988 | 93.4 | 0 |
| 1987 | 90.4 | 0 |
| 1986 | 93.2 | 0 |
| 1985 | 87 | 0 |
| 1984 | 89.5 | 0 |
| 1983 | 88.5 | 0 |
| 1982 | 89.6 | 0 |
| 1981 | 91.9 | 0 |
| 1980 | 89.5 | 0 |
| 1979 | 89.8 | 0 |
| 1978 | 88 | 0 |
| 1977 | 88.4 | 0 |
| 1976 | 83.6 | 0 |
| 1975 | 87.3 | 0 |
| 1974 | 84.9 | 0 |
| 1973 | 88.3 | 0 |
| 1972 | 87.1 | 0 |
| 1971 | 84.5 | 0 |
| 1970 | 87.3 | 0 |
| 1969 | 87.1 | 0 |
| 1968 | 84.9 | 0 |
| 1967 | 84.8 | 0 |
| 1966 | 85.7 | 0 |
| 1965 | 85.7 | 0 |
| 1964 | 77.7 | 0 |
| 1963 | 81.7 | 0 |
| 1962 | 89.3 | 0 |
| 1961 | 91.6 | 0 |
| 1960 | 91.4 | 0 |
| 1959 | 88.3 | 0 |
| 1958 | 89.9 | 0 |
| 1957 | 91.2 | 0 |
| 1956 | 84.6 | 0 |
| 1955 | 88.4 | 0 |
| 1954 | 88.8 | 0 |
| 1953 | 91.7 | 0 |
| 1952 | 87.9 | 0 |
| 1951 | 92.1 | 0 |
| 1950 | 88.9 | 0 |
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
| 年份 | 尼日利亚 | 卢旺达 |
|---|---|---|
| 2015 | 105.581.2–130.1 | 00–0 |
| 2016 | 101.478.2–120.6 | 00–0 |
| 2017 | 10680.5–130.9 | 00–0 |
| 2018 | 105.177.2–129 | 00–0 |
| 2019 | 104.378.3–130.3 | 00–0 |
| 2020 | 104.778.2–130.2 | 00–0 |
| 2021 | 104.885.2–128.6 | 00–0 |
| 2022 | 111.184.4–135.5 | 00–0 |
| 2023 | 106.585.6–130.6 | 00–0 |
| 2024 | 114.493.3–136.4 | 00–0 |
| 2025 | 112.191.1–132 | 00–0 |
| 2026 | 108.574.8–133.8 | 00–0 |
| 2027 | 114.581.7–136.4 | 00–0 |
| 2028 | 113.487.6–141.8 | 00–0 |
| 2029 | 116.591.5–141 | 00–0 |
| 2030 | 117.785.5–145.3 | 00–0 |
| 2031 | 116.388.2–141.7 | 00–0 |
| 2032 | 118.785.8–144.2 | 00–0 |
| 2033 | 118.490.6–146 | 00–0 |
| 2034 | 117.689–144.4 | 00–0 |
| 2035 | 12087.5–144.3 | 00–0 |
| 2036 | 116.889.2–143.5 | 00–0 |
| 2037 | 124.790.9–151.6 | 00–0 |
| 2038 | 126.696.2–152.6 | 00–0 |
| 2039 | 122.697–147.4 | 00–0 |
| 2040 | 121.193.5–153.7 | 00–0 |
| 2041 | 127.599.5–154.2 | 00–0 |
| 2042 | 12896.1–152.5 | 00–0 |
| 2043 | 124.298.9–149.7 | 00–0 |
| 2044 | 125.496.3–152.8 | 00–0 |
| 2045 | 129.499.4–156.4 | 00–0 |
| 2046 | 135.999.9–158.5 | 00–0 |
| 2047 | 135.299–159.5 | 00–0 |
| 2048 | 133.1103.7–160.3 | 00–0 |
| 2049 | 135.4104.4–161.8 | 00–0 |
| 2050 | 131.3102–166.4 | 00–0 |
| 2051 | 131.6106.2–166.5 | 00–0 |
| 2052 | 139.6101.6–171.1 | 00–0 |
| 2053 | 135.1105–166.8 | 00–0 |
| 2054 | 139102.4–172.2 | 00–0 |
| 2055 | 140113.8–172.2 | 00–0 |
| 2056 | 141.8102.8–177.8 | 00–0 |
| 2057 | 148.8113.3–178.3 | 00–0 |
| 2058 | 140112–171.9 | 00–0 |
| 2059 | 142.3114.3–176.6 | 00–0 |
| 2060 | 144.3110.6–176.5 | 00–0 |
| 2061 | 145109.2–180.3 | 00–0 |
| 2062 | 146111.1–181.8 | 00–0 |
| 2063 | 147.1114.5–182.6 | 00–0 |
| 2064 | 146.4112.8–179.9 | 00–0 |
| 2065 | 149.2116.8–179 | 00–0 |
| 2066 | 148.8117.8–185.3 | 00–0 |
| 2067 | 142.6114.9–185.1 | 00–0 |
| 2068 | 152.4114.1–187.8 | 00–0 |
| 2069 | 148.2114.1–185.4 | 00–0 |
| 2070 | 151.6111–187.8 | 00–0 |
| 2071 | 155.2117.6–192.8 | 00–0 |
| 2072 | 155.2118.4–190.6 | 00–0 |
| 2073 | 154.8115.7–196.8 | 00–0 |
| 2074 | 151.6114.2–195.8 | 00–0 |
| 2075 | 158.4117.9–190.2 | 00–0 |
| 2076 | 154.5120–193.1 | 00–0 |
| 2077 | 164121.3–203.7 | 00–0 |
| 2078 | 158.9117–196.9 | 00–0 |
| 2079 | 157.6123.7–192.5 | 00–0 |
| 2080 | 161.3118.7–197.4 | 00–0 |
| 2081 | 158.9119.1–200.5 | 00–0 |
| 2082 | 156.9118.5–201.5 | 00–0 |
| 2083 | 160.4121.6–203.2 | 00–0 |
| 2084 | 157.7118.3–198.5 | 00–0 |
| 2085 | 165.1122.6–201.9 | 00–0 |
| 2086 | 160.4122–201.3 | 00–0 |
| 2087 | 164.1121.4–199.1 | 00–0 |
| 2088 | 162.3124.7–205.8 | 00–0 |
| 2089 | 157.8122.5–206.2 | 00–0 |
| 2090 | 163124.3–204.5 | 00–0 |
| 2091 | 167.5124.5–204.5 | 00–0 |
| 2092 | 173.2125.1–206.7 | 00–0 |
| 2093 | 166.1126.9–212.1 | 00–0 |
| 2094 | 167.8130.5–205.1 | 00–0 |
| 2095 | 173.9123–212.7 | 00–0.1 |
| 2096 | 164.5127.5–213 | 00–0 |
| 2097 | 161.2123.5–206.8 | 00–0 |
| 2098 | 167.8128.2–206.2 | 00–0 |
| 2099 | 171129.1–212.5 | 00–0 |
| 2100 | 163.6126.1–210.4 | 00–0 |
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
尼日利亚与卢旺达对比
健康
人口与社会
经济
教育
政治
冲突
军用
- 军费开支尼日利亚:2025 年为 GDP 的 0.91%卢旺达:2025 年为 GDP 的 1.29%
- 军费开支(美元)尼日利亚:2025 年为 US$17.6亿卢旺达:2025 年为 US$1.94亿
- 人均军费开支尼日利亚:2025 年为 US$9卢旺达:2025 年为 US$13
- 军费占政府支出比例尼日利亚:2025 年为 5.9%(占政府支出)卢旺达:2025 年为 4.7%(占政府支出)
- 武装部队人员尼日利亚:2020 年为 223,000 人卢旺达:2020 年为 35,000 人
- 国家实力尼日利亚:2022 年为 1.16%(占全球实力)卢旺达:2022 年为 0.07%(占全球实力)
- 武装部队占劳动力比例尼日利亚:2020 年为 0.23%(占劳动力)卢旺达:2020 年为 0.7%(占劳动力)
- 武器进口尼日利亚:2025 年为 2100万 TIV卢旺达:2023 年为 3700万 TIV