Bhutan vs India
Bhutan vs India: Tropical nights
Tropical nights in 2014: 18.5 nights in Bhutan and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 197.1 nights, or 12 times that in Bhutan.
nights a year · CMIP6
What the numbers say
- India 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 India at 250.4 nights in 2100.
Every year
nights a year · CMIP6
| Year | Bhutan | India |
|---|---|---|
| 2014 | 18.5 | 215.5 |
| 2013 | 18.2 | 216 |
| 2012 | 17.6 | 217.4 |
| 2011 | 16.9 | 215.5 |
| 2010 | 17.7 | 215.2 |
| 2009 | 16.7 | 213.7 |
| 2008 | 16.5 | 213.7 |
| 2007 | 16.2 | 213.3 |
| 2006 | 16.5 | 212.5 |
| 2005 | 16.6 | 212.9 |
| 2004 | 16.2 | 214.9 |
| 2003 | 16.1 | 212.1 |
| 2002 | 16.1 | 213 |
| 2001 | 16.1 | 212.2 |
| 2000 | 15.7 | 210.8 |
| 1999 | 15.4 | 211.9 |
| 1998 | 15.5 | 210.3 |
| 1997 | 15.2 | 209.5 |
| 1996 | 13.7 | 207 |
| 1995 | 13.4 | 208.8 |
| 1994 | 13.5 | 207.1 |
| 1993 | 12.4 | 206 |
| 1992 | 11.7 | 203.5 |
| 1991 | 15.1 | 208 |
| 1990 | 14.8 | 209.9 |
| 1989 | 13.8 | 208 |
| 1988 | 13.4 | 207.3 |
| 1987 | 13.6 | 207.2 |
| 1986 | 13.6 | 207.2 |
| 1985 | 13.4 | 205.9 |
| 1984 | 13 | 206.7 |
| 1983 | 12.1 | 203.3 |
| 1982 | 13.2 | 205.7 |
| 1981 | 13.3 | 208.4 |
| 1980 | 13 | 205.3 |
| 1979 | 13 | 205.5 |
| 1978 | 12.6 | 204.1 |
| 1977 | 12.8 | 205.9 |
| 1976 | 13.1 | 204.6 |
| 1975 | 12.5 | 202.6 |
| 1974 | 13.1 | 205.3 |
| 1973 | 12.9 | 205.6 |
| 1972 | 12.2 | 203.8 |
| 1971 | 12.6 | 203.6 |
| 1970 | 12.2 | 202.6 |
| 1969 | 12.3 | 203.6 |
| 1968 | 12.4 | 201.7 |
| 1967 | 11.9 | 201.6 |
| 1966 | 12.7 | 203.9 |
| 1965 | 12.1 | 202.4 |
| 1964 | 11.9 | 201.2 |
| 1963 | 12.1 | 201.8 |
| 1962 | 13.2 | 203.8 |
| 1961 | 13.2 | 206.3 |
| 1960 | 13.1 | 206 |
| 1959 | 13.4 | 206.1 |
| 1958 | 13.1 | 204 |
| 1957 | 13.2 | 206.5 |
| 1956 | 12.9 | 204 |
| 1955 | 13.2 | 203.2 |
| 1954 | 12.9 | 206 |
| 1953 | 12.9 | 204 |
| 1952 | 13.3 | 204.4 |
| 1951 | 13.4 | 204.3 |
| 1950 | 12.9 | 206.3 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Bhutan | India |
|---|---|---|
| 2015 | 17.413.4–22.5 | 216.9202.1–228.4 |
| 2016 | 1812.6–22 | 215202.5–227.6 |
| 2017 | 18.714–22.7 | 216.2202.1–228.5 |
| 2018 | 17.914.3–22.1 | 218.3204.5–231.4 |
| 2019 | 18.513–23.2 | 217.4202.3–230.4 |
| 2020 | 18.713.9–24.4 | 217.6203.1–232 |
| 2021 | 19.415.2–23.6 | 219.7204.5–233.2 |
| 2022 | 19.616–23.8 | 220.5205.8–233 |
| 2023 | 20.716.1–25.6 | 220.4206.4–233.7 |
| 2024 | 20.616–26.1 | 222.6208.1–236.3 |
| 2025 | 2015.7–27.4 | 219.7202.7–236.2 |
| 2026 | 20.515.2–26.5 | 220.2204.2–236.8 |
| 2027 | 20.315.9–25.7 | 223.6207.1–239 |
| 2028 | 21.116.8–27.3 | 222.1205.1–235.7 |
| 2029 | 2116.5–27.9 | 225.4210–240.3 |
| 2030 | 21.116.2–26 | 222.7207.3–235.6 |
| 2031 | 21.415.6–26.5 | 223.8207.1–237.8 |
| 2032 | 2217.7–26.6 | 225.9210–240.5 |
| 2033 | 21.917.6–26.3 | 223.8209.3–235.4 |
| 2034 | 21.818.3–26.9 | 225.8210–242.7 |
| 2035 | 22.717.8–29.6 | 224.9210.6–240.9 |
| 2036 | 22.418.2–28.1 | 224.2210.4–240.3 |
| 2037 | 23.919.2–28.5 | 228.3213.6–242.6 |
| 2038 | 24.220.3–30.4 | 228.1212.6–241.4 |
| 2039 | 24.419.8–29.5 | 227.4211.9–242.8 |
| 2040 | 24.119.6–30.6 | 227212.2–242 |
| 2041 | 25.420.9–30.9 | 227.1210.7–240.5 |
| 2042 | 25.519.8–31.7 | 229.1214.8–244.2 |
| 2043 | 24.519.5–30.9 | 228.9214.5–244 |
| 2044 | 2519.6–30.5 | 229.7214.7–244.2 |
| 2045 | 25.219.9–30.9 | 231.2216.6–246.1 |
| 2046 | 26.119.4–32.3 | 232.6216.2–248.6 |
| 2047 | 25.820.3–31.1 | 232.4215.5–250 |
| 2048 | 26.820.8–32.8 | 235.6218.5–254.3 |
| 2049 | 26.722.4–33.4 | 235.3218.3–249.9 |
| 2050 | 27.321.2–33.6 | 233.5216.6–253.4 |
| 2051 | 27.422.2–34.2 | 234.9218.6–249.9 |
| 2052 | 27.322.1–33.9 | 234219.4–249.3 |
| 2053 | 26.722.5–32.6 | 234.9219.5–252.5 |
| 2054 | 27.522.7–33.6 | 237.2219.4–253.1 |
| 2055 | 27.923.2–34.2 | 237.2220.7–256.6 |
| 2056 | 2822.9–34.8 | 238.8221.2–254.9 |
| 2057 | 28.622.2–34.8 | 235.7218.5–253.8 |
| 2058 | 28.123.1–36.3 | 238.8222.8–254.1 |
| 2059 | 28.323.4–36.1 | 241.1224.9–256.2 |
| 2060 | 30.123.7–35.4 | 240.9225.6–255.6 |
| 2061 | 28.724.1–34.7 | 237.9220.6–253.7 |
| 2062 | 29.622.9–36.3 | 239.9221.2–259.7 |
| 2063 | 29.523.7–36.7 | 239.9222.3–256.1 |
| 2064 | 29.323.2–35.4 | 240223.8–256.3 |
| 2065 | 29.324.2–36.3 | 240.9222.9–257.3 |
| 2066 | 30.224.1–36.5 | 241.5224.1–258.6 |
| 2067 | 29.623.6–35.8 | 241.6224.8–257.9 |
| 2068 | 30.422.8–37.3 | 242.3224.6–262.1 |
| 2069 | 30.523.7–36.5 | 242.8225.4–259.1 |
| 2070 | 30.324.5–36.1 | 240.1225.3–257.1 |
| 2071 | 31.224.2–37.3 | 241.8223.7–260.2 |
| 2072 | 31.224–37.3 | 242.6225.4–259.2 |
| 2073 | 31.425.4–38.3 | 243.8228–259.3 |
| 2074 | 30.625–38.4 | 241.6226.9–258.4 |
| 2075 | 30.624.1–38.5 | 243.5226.4–258.2 |
| 2076 | 31.225.3–37.8 | 243.2224.6–259.9 |
| 2077 | 31.626.1–39.2 | 243.7226.6–264.6 |
| 2078 | 31.526.7–38.7 | 246.7230.1–261.5 |
| 2079 | 31.525.1–38.1 | 244.9226.4–261.3 |
| 2080 | 32.626.5–37.7 | 246.7227–263.7 |
| 2081 | 32.327.1–39.8 | 247.5230.4–264.8 |
| 2082 | 32.525.8–39 | 244.6227.9–262.3 |
| 2083 | 32.526.5–40.9 | 247.5227.8–265.1 |
| 2084 | 32.926.4–41.3 | 247.3228.3–266.8 |
| 2085 | 33.328–41.5 | 246.5227.5–267.1 |
| 2086 | 33.627.3–40.5 | 245.6227.7–266.5 |
| 2087 | 33.127.1–40.1 | 245.5226.7–266.2 |
| 2088 | 33.427.6–41.2 | 247229.4–266.9 |
| 2089 | 32.928.3–40.8 | 248.1230–266.3 |
| 2090 | 33.628.4–40.2 | 249228.9–266.4 |
| 2091 | 34.328.3–41.5 | 248.9230–266.5 |
| 2092 | 34.128–42.1 | 249.8232.3–267.8 |
| 2093 | 33.928.3–42 | 248.1229–266.5 |
| 2094 | 33.828–41.5 | 249.1230.6–268.4 |
| 2095 | 34.329.5–40.8 | 251233.2–270 |
| 2096 | 3428–42.1 | 247.8231.4–269.3 |
| 2097 | 3327.7–41.5 | 251.1231.4–268 |
| 2098 | 34.227.2–41.8 | 252.3230.8–268.3 |
| 2099 | 33.928.4–41.5 | 248.7230.1–268.3 |
| 2100 | 3428.3–42.1 | 250.4232.9–266.7 |
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 India
Health
- Life expectancyBhutan: 73 years in 2023India: 72 years in 2023
- Child mortalityBhutan: 1.7 per 100 live births in 2024India: 2.7 per 100 live births in 2024
- Infant mortalityBhutan: 19.3 per 1,000 live births in 2023India: 22.6 per 1,000 live births in 2023
- DepressionBhutan: 3.44% in 2017India: 3.53% in 2017
- Suicide rateBhutan: 5.7 per 100,000 people in 2017India: 15.6 per 100,000 people in 2017
People
- PopulationBhutan: 786,400 people in 2023India: 1.44 billion people in 2023
- Population growthBhutan: 0.69% a year in 2023India: 0.89% a year in 2023
- Fertility rateBhutan: 1.46 births per woman in 2023India: 1.98 births per woman in 2023
- Urban populationBhutan: 43.4% in 2025India: 35.7% in 2025
- Median ageBhutan: 29.4 years in 2023India: 28.1 years in 2023
- People aged 65 and overBhutan: 6.4% in 2023India: 6.9% in 2023
- Net migration rateBhutan: 0.4 per 1,000 people in 2023India: -0.7 per 1,000 people in 2023
Economy
Education
Politics
Conflict
Military
- Armed forces personnelBhutan: 6,000 people in 2000India: 3.07 million people in 2020
- National powerBhutan: 0.01% of world capability in 2022India: 9.94% of world capability in 2022
- Armed forces, share of workersBhutan: 2.34% of the labour force in 2000India: 0.58% of the labour force in 2020
- Arms importsBhutan: 5 million TIV in 2021India: 2.86 billion TIV in 2025