Myanmar (Burma) vs Tanzania: Tropical nights

Tropical nights in 2014: 201.9 nights in Myanmar (Burma) and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 95.6 nights, or 1.9 times that in Tanzania.

Watch it change on the map

nights a year · CMIP6

Myanmar (Burma)TanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Myanmar (Burma) has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Myanmar (Burma) at 244.5 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

Year	Myanmar (Burma)	Tanzania
2014	201.9	106.3
2013	203.1	105.5
2012	201.1	108.4
2011	200.9	109
2010	202.1	103.9
2009	199	101.1
2008	198.1	100.3
2007	196.8	99.5
2006	198.2	100.4
2005	196.7	98.7
2004	200.3	100.4
2003	195.3	99.6
2002	196.6	98.4
2001	199	101.5
2000	197.2	94.9
1999	196.4	94.2
1998	194.7	96.8
1997	194.4	93.5
1996	191.4	89.6
1995	189.9	88.5
1994	188.8	85.4
1993	185	81.2
1992	180.5	80.1
1991	191.7	89.6
1990	191.5	91.1
1989	190.3	89.1
1988	190.7	87.6
1987	190.8	88.5
1986	189.7	89.4
1985	187.4	83
1984	189.1	83.1
1983	182.3	82.1
1982	186.7	84.8
1981	188.4	88
1980	189	85
1979	189.8	85.5
1978	186.8	82.9
1977	187.4	84.1
1976	185.8	81
1975	183.6	80.8
1974	185.5	82.2
1973	187.5	83.6
1972	184.8	81.4
1971	185.2	80.7
1970	184.9	81.8
1969	184.3	79.5
1968	183.7	79.1
1967	182.3	77.5
1966	186.2	78.1
1965	182.9	78
1964	180.6	73.8
1963	183.1	73.1
1962	187.3	81.1
1961	188.7	82.6
1960	187.1	83.9
1959	186.5	81.4
1958	187.1	82.1
1957	186.2	80.9
1956	187.9	80
1955	185.9	81.6
1954	185.7	81.4
1953	185	80.6
1952	186.1	81.4
1951	187.1	82.1
1950	186.9	80.7

CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100

Year	Myanmar (Burma)	Tanzania
2015	205.2186.4–218.9	114.895.2–137.4
2016	202.8186.2–218.8	108.391.6–125.6
2017	203.4187.3–218.3	114.893.6–137.8
2018	205.5190.9–219.9	116.497.4–137.1
2019	205.2186.7–222.2	113.495.2–133.2
2020	208.2188.5–223.5	119.396.2–143.5
2021	208.9191.2–224.1	119.5100.9–147.1
2022	209.9192.7–224.9	124.4105.3–147.4
2023	210.6195.4–226.3	122.1102.1–147.8
2024	210.4193.8–226.6	126.2100–150.1
2025	209.9190.3–225.2	124.6100.9–154
2026	212.2194.3–229.2	126.999.1–155.6
2027	212195.6–228.6	128102.9–147.7
2028	213195.7–227.2	129.9106.4–152.1
2029	215.3193.9–231.9	134.1111–156.5
2030	212.2194.9–228	129.4106.4–151.1
2031	214.3197.2–230.8	136.4115.9–158.4
2032	215199.3–229.6	135.1114–166.8
2033	215.5198.5–230.1	135.2110.9–161.9
2034	214.9198.4–233.5	134.7112.5–166.3
2035	214.9199.2–236.8	140.2114.6–165
2036	216198.7–234.5	137.8113.3–165.5
2037	217.2199.6–233.5	142.9121.5–168.9
2038	220.7204.8–235.1	147.9124.3–169.3
2039	219.7202.4–234.3	144.3117.6–171.3
2040	219.2202.9–235	140.5117–178
2041	220.7203.9–237.7	149.1121.7–175.6
2042	221.8206.1–237.2	146.3120.5–185.3
2043	219.5201.2–237.1	144.6117–173
2044	221.4201.6–239.6	147.7121.2–175.8
2045	223.7204.8–241.5	150.1125.2–183.4
2046	223.2203.2–240.2	161.5128.6–192.2
2047	224.3204.8–241.1	160.2129.7–194.4
2048	226.4207.7–243.8	158.8132.7–193.1
2049	226.5205.6–242.8	157.6131.1–196
2050	227209.3–243.5	159.7127.8–192
2051	229.6212.4–246.4	163.2135.5–197.8
2052	227.2208.6–244.2	161.9136.2–199.1
2053	227.9208.7–247.7	160.6127.5–197.7
2054	227.9209.6–244.8	163.2131.5–200.2
2055	229.1209.8–247.5	167.4137–208.3
2056	231.8210.4–252.1	166.4130.8–209.7
2057	228.6208–249	168134.6–208.3
2058	228.9208.8–249	168.7134.9–210.3
2059	230.7212.1–247.5	174.7144.9–219.5
2060	234.7211.1–251.5	181.7138.1–219.8
2061	231.9213–247.7	171.8135.5–218.1
2062	233.6209.9–252.8	177.5139.9–224
2063	233215.4–250.5	181.4140.1–213.8
2064	233.2214.4–251.3	185.3140.1–215.2
2065	230.7210.4–250.7	183.5141.1–221.8
2066	233.5214.3–251.2	181.9146.3–219.3
2067	233211.5–253.3	178.8138.8–229.2
2068	233.1212.4–253.7	186144.2–228.4
2069	236.1214.6–253.4	183.7141.7–225.3
2070	235.9218.1–253.4	180.7140.4–228.2
2071	235.1213.5–259.6	184.9146.9–235.2
2072	234.6216.1–252.6	191.3155–226.1
2073	237.2219.3–257.2	191.6152.4–235.6
2074	236.4215.7–254.5	183.3149.7–231.7
2075	236.7214.4–255.9	183.8144.8–233
2076	237.7216–257	191.1150.9–233.2
2077	237.5219–258.7	191.3152.6–238.2
2078	238.5217.3–257.8	189156.6–233.8
2079	238.5219.2–257.2	190.5147–237.3
2080	240.5218.8–258.3	197.3150.7–241.2
2081	240219.7–260.9	195.6153.4–237.4
2082	239.4217.1–258.8	194.5157.3–237.3
2083	239.1220.5–259.2	193.2151–249.8
2084	241.3218.9–260.6	201.1152.2–246.7
2085	241.7218.8–260.7	204.2162.3–252.3
2086	241.7217.4–262.7	195156–248.7
2087	241.4220.5–260.9	196.7160.8–244.5
2088	241.8222.3–261.5	208.4154.7–246.9
2089	240.7221.2–262.6	201.3158.6–248.2
2090	241.3224.4–260.9	197.9160.7–253.6
2091	242.6220.3–262.5	210161.6–256
2092	241.9221.6–263.3	205.8158.3–253.6
2093	242.1220.2–260	207.2161.2–251.9
2094	242.5222.5–261.9	207.9161.3–250.6
2095	244.9224–264.4	214.2166.4–258.5
2096	243.9221.1–266.5	205.3159.8–257.4
2097	243.6219.6–264.2	206.6158.4–256.8
2098	243.6222.5–263.9	209.1161–258.3
2099	244.7221.8–263.5	208.5160.1–256
2100	244.5223.2–261.8	208158.6–258.6

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