Bhutan vs China
Bhutan vs China: Tropical nights
Tropical nights in 2014: 18.5 nights in Bhutan and 41.5 nights in China, in the CMIP6 climate models’ median run. In 2014 the value was higher in China, by 23 nights, or 2.25 times that in Bhutan.
nights a year · CMIP6
What the numbers say
- China has been higher in every year both have figures for since 1950.
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Bhutan at 34 nights and China at 63.3 nights in 2100.
Every year
nights a year · CMIP6
| Year | Bhutan | China |
|---|---|---|
| 2014 | 18.5 | 41.5 |
| 2013 | 18.2 | 41.7 |
| 2012 | 17.6 | 40.8 |
| 2011 | 16.9 | 40.2 |
| 2010 | 17.7 | 40.5 |
| 2009 | 16.7 | 39.5 |
| 2008 | 16.5 | 39.2 |
| 2007 | 16.2 | 38.7 |
| 2006 | 16.5 | 39.5 |
| 2005 | 16.6 | 39.5 |
| 2004 | 16.2 | 39.7 |
| 2003 | 16.1 | 38.5 |
| 2002 | 16.1 | 38.8 |
| 2001 | 16.1 | 39.5 |
| 2000 | 15.7 | 38.6 |
| 1999 | 15.4 | 38.5 |
| 1998 | 15.5 | 37.6 |
| 1997 | 15.2 | 37.1 |
| 1996 | 13.7 | 36.6 |
| 1995 | 13.4 | 35.1 |
| 1994 | 13.5 | 34.9 |
| 1993 | 12.4 | 33.2 |
| 1992 | 11.7 | 32.3 |
| 1991 | 15.1 | 35.9 |
| 1990 | 14.8 | 36.4 |
| 1989 | 13.8 | 36.1 |
| 1988 | 13.4 | 35.1 |
| 1987 | 13.6 | 34.5 |
| 1986 | 13.6 | 34 |
| 1985 | 13.4 | 33.5 |
| 1984 | 13 | 33.4 |
| 1983 | 12.1 | 31.5 |
| 1982 | 13.2 | 34.1 |
| 1981 | 13.3 | 34.2 |
| 1980 | 13 | 34.3 |
| 1979 | 13 | 33.8 |
| 1978 | 12.6 | 34.8 |
| 1977 | 12.8 | 33.3 |
| 1976 | 13.1 | 32.7 |
| 1975 | 12.5 | 33.1 |
| 1974 | 13.1 | 33.3 |
| 1973 | 12.9 | 33.1 |
| 1972 | 12.2 | 32.6 |
| 1971 | 12.6 | 33 |
| 1970 | 12.2 | 32.4 |
| 1969 | 12.3 | 33.4 |
| 1968 | 12.4 | 32.8 |
| 1967 | 11.9 | 33.4 |
| 1966 | 12.7 | 33.4 |
| 1965 | 12.1 | 32.5 |
| 1964 | 11.9 | 32.1 |
| 1963 | 12.1 | 34.5 |
| 1962 | 13.2 | 34 |
| 1961 | 13.2 | 34.6 |
| 1960 | 13.1 | 34.1 |
| 1959 | 13.4 | 34 |
| 1958 | 13.1 | 35 |
| 1957 | 13.2 | 34.4 |
| 1956 | 12.9 | 34.6 |
| 1955 | 13.2 | 34.2 |
| 1954 | 12.9 | 34.2 |
| 1953 | 12.9 | 34.3 |
| 1952 | 13.3 | 34.3 |
| 1951 | 13.4 | 35.1 |
| 1950 | 12.9 | 34.9 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Bhutan | China |
|---|---|---|
| 2015 | 17.413.4–22.5 | 42.334.8–49.8 |
| 2016 | 1812.6–22 | 42.134.4–50 |
| 2017 | 18.714–22.7 | 43.135.3–51.6 |
| 2018 | 17.914.3–22.1 | 42.335.5–49.5 |
| 2019 | 18.513–23.2 | 43.836.5–51.1 |
| 2020 | 18.713.9–24.4 | 43.736.8–51.1 |
| 2021 | 19.415.2–23.6 | 44.136–52.1 |
| 2022 | 19.616–23.8 | 44.737.5–52.7 |
| 2023 | 20.716.1–25.6 | 45.737.8–53.4 |
| 2024 | 20.616–26.1 | 45.738.1–54 |
| 2025 | 2015.7–27.4 | 46.337.5–54.8 |
| 2026 | 20.515.2–26.5 | 46.237.6–55.5 |
| 2027 | 20.315.9–25.7 | 46.138–54.9 |
| 2028 | 21.116.8–27.3 | 46.438.4–54.3 |
| 2029 | 2116.5–27.9 | 46.939.1–55.6 |
| 2030 | 21.116.2–26 | 47.138.8–55.3 |
| 2031 | 21.415.6–26.5 | 4738.8–56 |
| 2032 | 2217.7–26.6 | 48.339.3–57.4 |
| 2033 | 21.917.6–26.3 | 47.939.7–56.6 |
| 2034 | 21.818.3–26.9 | 48.440.5–57.3 |
| 2035 | 22.717.8–29.6 | 49.740.8–58.6 |
| 2036 | 22.418.2–28.1 | 4940.1–58.2 |
| 2037 | 23.919.2–28.5 | 4941.2–57.6 |
| 2038 | 24.220.3–30.4 | 50.542.4–59.3 |
| 2039 | 24.419.8–29.5 | 49.641.2–59.2 |
| 2040 | 24.119.6–30.6 | 50.942.4–60.4 |
| 2041 | 25.420.9–30.9 | 51.342.5–61.1 |
| 2042 | 25.519.8–31.7 | 51.642–61.5 |
| 2043 | 24.519.5–30.9 | 50.742.7–61 |
| 2044 | 2519.6–30.5 | 51.942.4–61.9 |
| 2045 | 25.219.9–30.9 | 51.542.8–61.1 |
| 2046 | 26.119.4–32.3 | 5343.7–62.7 |
| 2047 | 25.820.3–31.1 | 53.544.5–62.5 |
| 2048 | 26.820.8–32.8 | 53.144–62.6 |
| 2049 | 26.722.4–33.4 | 52.843.8–63.3 |
| 2050 | 27.321.2–33.6 | 53.644.4–63.8 |
| 2051 | 27.422.2–34.2 | 54.345.1–64.8 |
| 2052 | 27.322.1–33.9 | 53.444.6–63.2 |
| 2053 | 26.722.5–32.6 | 54.244.2–64.2 |
| 2054 | 27.522.7–33.6 | 54.545.3–64.8 |
| 2055 | 27.923.2–34.2 | 5545.1–65.8 |
| 2056 | 2822.9–34.8 | 55.245.1–66.6 |
| 2057 | 28.622.2–34.8 | 54.844.9–65.7 |
| 2058 | 28.123.1–36.3 | 55.145.8–67.7 |
| 2059 | 28.323.4–36.1 | 55.345.1–67.2 |
| 2060 | 30.123.7–35.4 | 57.246.9–68.1 |
| 2061 | 28.724.1–34.7 | 56.546.6–66.3 |
| 2062 | 29.622.9–36.3 | 56.846.9–68.5 |
| 2063 | 29.523.7–36.7 | 57.247.2–68.6 |
| 2064 | 29.323.2–35.4 | 5747.1–67.7 |
| 2065 | 29.324.2–36.3 | 57.347.1–67.8 |
| 2066 | 30.224.1–36.5 | 57.347.9–68.7 |
| 2067 | 29.623.6–35.8 | 57.546.4–68.2 |
| 2068 | 30.422.8–37.3 | 58.748.5–70.5 |
| 2069 | 30.523.7–36.5 | 58.548.4–69 |
| 2070 | 30.324.5–36.1 | 5847.6–71.7 |
| 2071 | 31.224.2–37.3 | 59.347.4–71.6 |
| 2072 | 31.224–37.3 | 59.248.1–71.5 |
| 2073 | 31.425.4–38.3 | 59.849.1–70.9 |
| 2074 | 30.625–38.4 | 59.648.7–71.1 |
| 2075 | 30.624.1–38.5 | 58.748.3–71.4 |
| 2076 | 31.225.3–37.8 | 60.249–70.9 |
| 2077 | 31.626.1–39.2 | 60.851.1–72.4 |
| 2078 | 31.526.7–38.7 | 59.648.8–72.4 |
| 2079 | 31.525.1–38.1 | 60.750.1–72.6 |
| 2080 | 32.626.5–37.7 | 59.950–72.3 |
| 2081 | 32.327.1–39.8 | 60.950–73.2 |
| 2082 | 32.525.8–39 | 6149.8–73.3 |
| 2083 | 32.526.5–40.9 | 61.251.2–73.6 |
| 2084 | 32.926.4–41.3 | 61.749.7–74.6 |
| 2085 | 33.328–41.5 | 61.250.8–75.2 |
| 2086 | 33.627.3–40.5 | 61.648.9–74.5 |
| 2087 | 33.127.1–40.1 | 61.650.6–75 |
| 2088 | 33.427.6–41.2 | 62.750.5–77.1 |
| 2089 | 32.928.3–40.8 | 61.950–75.2 |
| 2090 | 33.628.4–40.2 | 62.551.4–73.7 |
| 2091 | 34.328.3–41.5 | 63.852–75.7 |
| 2092 | 34.128–42.1 | 63.251.2–75.1 |
| 2093 | 33.928.3–42 | 63.252–75.4 |
| 2094 | 33.828–41.5 | 6351.1–76.3 |
| 2095 | 34.329.5–40.8 | 63.952.8–76.4 |
| 2096 | 3428–42.1 | 63.852.2–76.8 |
| 2097 | 3327.7–41.5 | 62.750.7–75.1 |
| 2098 | 34.227.2–41.8 | 63.451.2–76.8 |
| 2099 | 33.928.4–41.5 | 63.851.9–76.1 |
| 2100 | 3428.3–42.1 | 63.351.7–76.2 |
Each country on its own
Good to know
- Nights in a year when the temperature stays above 20 °C, averaged over the country.
- Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
- The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
- Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.
How the layers work, where their data comes from and what they can’t tell you: Countries through time
Bhutan vs China
Health
- Life expectancyBhutan: 73 years in 2023China: 78 years in 2023
- Child mortalityBhutan: 1.7 per 100 live births in 2024China: 0.6 per 100 live births in 2024
- Infant mortalityBhutan: 19.3 per 1,000 live births in 2023China: 5.1 per 1,000 live births in 2023
- DepressionBhutan: 3.44% in 2017China: 3.31% in 2017
- Suicide rateBhutan: 5.7 per 100,000 people in 2017China: 7.2 per 100,000 people in 2017
People
- PopulationBhutan: 786,400 people in 2023China: 1.42 billion people in 2023
- Population growthBhutan: 0.69% a year in 2023China: -0.24% a year in 2023
- Fertility rateBhutan: 1.46 births per woman in 2023China: 1 births per woman in 2023
- Urban populationBhutan: 43.4% in 2025China: 66.3% in 2025
- Median ageBhutan: 29.4 years in 2023China: 39.1 years in 2023
- People aged 65 and overBhutan: 6.4% in 2023China: 14.3% in 2023
- Net migration rateBhutan: 0.4 per 1,000 people in 2023China: -0.4 per 1,000 people in 2023
Economy
Education
Politics
Conflict
Military
- Armed forces personnelBhutan: 6,000 people in 2000China: 2.54 million people in 2020
- National powerBhutan: 0.01% of world capability in 2022China: 23.41% of world capability in 2022
- Armed forces, share of workersBhutan: 2.34% of the labour force in 2000China: 0.33% of the labour force in 2020
- Arms importsBhutan: 5 million TIV in 2021China: 207 million TIV in 2025