Russia vs Thailand
Russia vs Thailand: Tropical nights
Tropical nights in 2014: 1.4 nights in Russia and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 285 nights, or 210 times that in Russia.
nights a year · CMIP6
What the numbers say
- Thailand has been higher in every year both have figures for since 1950.
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Russia at 5.9 nights and Thailand at 320.8 nights in 2100.
Every year
nights a year · CMIP6
| Year | Russia | Thailand |
|---|---|---|
| 2014 | 1.4 | 286.4 |
| 2013 | 1.2 | 289.1 |
| 2012 | 1.1 | 286.6 |
| 2011 | 1.1 | 286.4 |
| 2010 | 1.2 | 286 |
| 2009 | 1 | 286.9 |
| 2008 | 1.1 | 284.8 |
| 2007 | 1 | 283.2 |
| 2006 | 1.1 | 284.3 |
| 2005 | 1.2 | 281.7 |
| 2004 | 1 | 287.5 |
| 2003 | 1 | 279.3 |
| 2002 | 0.9 | 280 |
| 2001 | 1 | 285.5 |
| 2000 | 0.9 | 283.4 |
| 1999 | 0.8 | 282.5 |
| 1998 | 0.8 | 282.7 |
| 1997 | 0.9 | 284.8 |
| 1996 | 0.7 | 279.8 |
| 1995 | 0.7 | 278.7 |
| 1994 | 0.6 | 280.8 |
| 1993 | 0.5 | 275.6 |
| 1992 | 0.4 | 268.8 |
| 1991 | 0.6 | 276.7 |
| 1990 | 0.6 | 279.2 |
| 1989 | 0.6 | 278.4 |
| 1988 | 0.5 | 279.6 |
| 1987 | 0.6 | 277.9 |
| 1986 | 0.6 | 277.5 |
| 1985 | 0.6 | 276 |
| 1984 | 0.4 | 277.9 |
| 1983 | 0.3 | 273.9 |
| 1982 | 0.5 | 275.7 |
| 1981 | 0.5 | 277.8 |
| 1980 | 0.5 | 277.9 |
| 1979 | 0.5 | 278 |
| 1978 | 0.5 | 276 |
| 1977 | 0.5 | 277.3 |
| 1976 | 0.5 | 275.6 |
| 1975 | 0.4 | 274.4 |
| 1974 | 0.5 | 276 |
| 1973 | 0.5 | 280.6 |
| 1972 | 0.4 | 273.9 |
| 1971 | 0.5 | 273.2 |
| 1970 | 0.4 | 276 |
| 1969 | 0.4 | 274.8 |
| 1968 | 0.6 | 277 |
| 1967 | 0.5 | 270.3 |
| 1966 | 0.4 | 274.4 |
| 1965 | 0.5 | 275.8 |
| 1964 | 0.4 | 271.9 |
| 1963 | 0.5 | 274.7 |
| 1962 | 0.4 | 275.4 |
| 1961 | 0.5 | 278.5 |
| 1960 | 0.5 | 276.2 |
| 1959 | 0.5 | 274.4 |
| 1958 | 0.5 | 278.7 |
| 1957 | 0.5 | 277.4 |
| 1956 | 0.5 | 277 |
| 1955 | 0.5 | 274.6 |
| 1954 | 0.5 | 275 |
| 1953 | 0.6 | 275.4 |
| 1952 | 0.5 | 275.1 |
| 1951 | 0.5 | 277.5 |
| 1950 | 0.5 | 276.2 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Russia | Thailand |
|---|---|---|
| 2015 | 1.60.6–3.9 | 290.6272.2–305 |
| 2016 | 1.30.6–3.5 | 287.1269.8–306.2 |
| 2017 | 1.40.5–3.6 | 290273.8–302.8 |
| 2018 | 1.70.6–4.1 | 292.6275.1–308.7 |
| 2019 | 1.50.7–3.9 | 291.2272.8–306.7 |
| 2020 | 1.50.7–3.6 | 292.4272.2–307.8 |
| 2021 | 1.40.6–3.6 | 294.2276.3–308.5 |
| 2022 | 1.80.6–4.4 | 294.8277.2–311.9 |
| 2023 | 1.80.6–4.5 | 296.1281.9–310.2 |
| 2024 | 1.70.7–4.1 | 291.7275.5–307.8 |
| 2025 | 20.7–5.2 | 294276.7–306.3 |
| 2026 | 1.70.7–4.4 | 296278–309.3 |
| 2027 | 1.90.8–4.7 | 295.8276.3–311.1 |
| 2028 | 1.70.8–4.4 | 297279.3–315.1 |
| 2029 | 20.9–5.3 | 300.3278.7–315 |
| 2030 | 1.80.6–4.8 | 297.7280.2–312.5 |
| 2031 | 2.11–5.1 | 300.8282.8–317.1 |
| 2032 | 2.20.9–5.8 | 297.2280.9–311.4 |
| 2033 | 2.11.1–5.4 | 300281.9–315.8 |
| 2034 | 1.90.8–4.9 | 300.8279–318.4 |
| 2035 | 2.21–5.8 | 298.6281.5–317.8 |
| 2036 | 2.41.1–5.9 | 300.4279.9–316.9 |
| 2037 | 2.31–6.1 | 299.8280–315.1 |
| 2038 | 2.51.1–5.8 | 304.8286.6–319.3 |
| 2039 | 2.71.2–6.8 | 300.9281.9–317 |
| 2040 | 2.50.9–5.8 | 301.6284.5–315.7 |
| 2041 | 2.61.1–6.6 | 303.1285.1–318.8 |
| 2042 | 2.61–6.8 | 303.8290–318.3 |
| 2043 | 2.81.4–7 | 302285.8–317.9 |
| 2044 | 2.81–7.5 | 304.3286.3–318.8 |
| 2045 | 2.61.1–7.1 | 307.1287.7–324.2 |
| 2046 | 2.81.1–7.5 | 305.9285.2–321 |
| 2047 | 2.91.1–8.3 | 306.6289.5–321.5 |
| 2048 | 3.41.1–7.9 | 309.4288.9–325.7 |
| 2049 | 3.21.4–8 | 308.1287.2–324.1 |
| 2050 | 3.51.3–8.2 | 307.5291–321.5 |
| 2051 | 3.41.3–8.9 | 312.8294.8–326 |
| 2052 | 31.2–8.1 | 310.9291.2–323.4 |
| 2053 | 3.11.3–7.5 | 308.3289.5–323.3 |
| 2054 | 3.21.1–7.7 | 308.8292.8–322.3 |
| 2055 | 3.31.2–9 | 308.6290.6–325.1 |
| 2056 | 3.51.3–8.8 | 311.3294.9–326.3 |
| 2057 | 3.71.5–9.1 | 308.5286.7–326.4 |
| 2058 | 3.61.5–10.2 | 308291.1–325.1 |
| 2059 | 3.81.5–9.3 | 312.7295.8–325.3 |
| 2060 | 3.41.4–8.9 | 313.1294.6–328.6 |
| 2061 | 3.91.5–9.3 | 314.4289.5–331.1 |
| 2062 | 3.71.4–10.1 | 311.4293.4–330.3 |
| 2063 | 4.11.4–10.3 | 314.8296.9–327.3 |
| 2064 | 3.61.2–10.1 | 312.5295.4–330 |
| 2065 | 4.21.4–10.4 | 309.6293.1–329.3 |
| 2066 | 41.4–10.5 | 312.1292.6–328 |
| 2067 | 3.91.3–9.9 | 311.2289.6–329.4 |
| 2068 | 4.21.4–10.3 | 310.8292.4–330.6 |
| 2069 | 4.61.7–11.6 | 315.5296.1–329.5 |
| 2070 | 3.81.3–11.8 | 314.2292.9–330.7 |
| 2071 | 41.4–11.5 | 313.8296.4–330.8 |
| 2072 | 4.51.8–10.9 | 314.8296–329.6 |
| 2073 | 4.61.5–11.7 | 316.5299.9–332.1 |
| 2074 | 4.41.7–11.7 | 317.2295–333.8 |
| 2075 | 4.31.6–11.3 | 317.2295.3–331.4 |
| 2076 | 4.91.8–12 | 317.4299.8–335 |
| 2077 | 4.81.9–10.9 | 317.5297.3–335.9 |
| 2078 | 4.92.1–12 | 315.9297.1–331.6 |
| 2079 | 5.42–12.7 | 318.5300.5–332.3 |
| 2080 | 4.91.8–12.5 | 319.8297.4–337.5 |
| 2081 | 5.12.1–12.5 | 317.7299.5–334.9 |
| 2082 | 51.9–13.9 | 317.9294.8–333 |
| 2083 | 5.42.2–13.2 | 315297.8–332.9 |
| 2084 | 5.42–12.2 | 316295.5–330 |
| 2085 | 5.21.7–13.3 | 322.6300.8–334.7 |
| 2086 | 5.31.8–14.1 | 319.4295.2–335.2 |
| 2087 | 5.31.9–13.6 | 320.2302.2–334.7 |
| 2088 | 5.51.9–13.6 | 321.4299.8–334.8 |
| 2089 | 5.22.2–12.5 | 318.9296.4–338.1 |
| 2090 | 5.42–12 | 317.6304–337.4 |
| 2091 | 5.91.9–15.4 | 320.1299.8–336.1 |
| 2092 | 5.92–13.2 | 316.3298–336.4 |
| 2093 | 5.61.8–14 | 316.1297.7–333.7 |
| 2094 | 6.12.2–15.1 | 323.4301.8–337.3 |
| 2095 | 5.62.1–14.7 | 322.9302.4–338.9 |
| 2096 | 6.22.2–14.9 | 319.6302.8–336.7 |
| 2097 | 6.21.9–14.7 | 319.8299.1–336 |
| 2098 | 6.12.1–14.3 | 320.5303.9–336 |
| 2099 | 5.61.8–14.7 | 319.9303.1–334.4 |
| 2100 | 5.92.2–14.8 | 320.8301.1–336.7 |
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
Russia vs Thailand
Health
- Life expectancyRussia: 73.2 years in 2023Thailand: 76.4 years in 2023
- Child mortalityRussia: 0.5 per 100 live births in 2024Thailand: 0.9 per 100 live births in 2024
- Infant mortalityRussia: 3.5 per 1,000 live births in 2023Thailand: 6.2 per 1,000 live births in 2023
- DepressionRussia: 3.71% in 2017Thailand: 3.09% in 2017
- Suicide rateRussia: 25.1 per 100,000 people in 2017Thailand: 10.4 per 100,000 people in 2017
People
- PopulationRussia: 145 million people in 2023Thailand: 71.7 million people in 2023
- Population growthRussia: -0.32% a year in 2023Thailand: -0.04% a year in 2023
- Fertility rateRussia: 1.45 births per woman in 2023Thailand: 1.21 births per woman in 2023
- Urban populationRussia: 75.3% in 2025Thailand: 62.8% in 2025
- Median ageRussia: 39.5 years in 2023Thailand: 39.7 years in 2023
- People aged 65 and overRussia: 16.6% in 2023Thailand: 14.7% in 2023
- Net migration rateRussia: 0.2 per 1,000 people in 2023Thailand: 0.3 per 1,000 people in 2023
Economy
Education
Politics
Conflict
Military
- Military spendingRussia: 7.5% of GDP in 2025Thailand: 1.04% of GDP in 2025
- Military spending in US dollarsRussia: $158B in 2025Thailand: $5.57B in 2025
- Military spending per personRussia: $1,318 in 2025Thailand: $84 in 2025
- Military share of state spendingRussia: 19.8% of government spending in 2025Thailand: 4.4% of government spending in 2025
- Armed forces personnelRussia: 1.45 million people in 2020Thailand: 455,000 people in 2020
- National powerRussia: 3.82% of world capability in 2022Thailand: 0.79% of world capability in 2022
- Armed forces, share of workersRussia: 1.98% of the labour force in 2020Thailand: 1.13% of the labour force in 2020
- Arms importsRussia: 129 million TIV in 2025Thailand: 33 million TIV in 2025
- Arms exportsRussia: 1.94 billion TIV in 2025Thailand: 15 million TIV in 2024