Myanmar (Burma) vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 28.8 days in Myanmar (Burma) and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 89.8 days, or 4.12 times that in Myanmar (Burma).

Watch it change on the map

days a year · CMIP6

Myanmar (Burma)PakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Pakistan 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 57 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

Year	Myanmar (Burma)	Pakistan
2014	28.8	118.6
2013	28	117.5
2012	27.5	117.5
2011	27.4	118
2010	27.9	114.3
2009	27.3	115.3
2008	27.2	115.4
2007	25.4	112.5
2006	26.8	112.9
2005	25	114.9
2004	28.3	116.1
2003	26.4	114.6
2002	27.4	115.9
2001	28.4	114.4
2000	26.6	114.6
1999	26.1	114.2
1998	26.4	111.7
1997	26.2	112
1996	24.7	108.3
1995	25.5	110
1994	24.3	108.6
1993	23.9	107.2
1992	20.5	105.2
1991	28.4	110.6
1990	26.3	110.7
1989	23.8	110.9
1988	23.9	109.8
1987	25.4	108.3
1986	26.6	108.7
1985	23.6	105.6
1984	25.8	108
1983	23.2	104.7
1982	24	108
1981	23.8	109.5
1980	23.5	109.7
1979	25.3	108.7
1978	23.4	108.6
1977	24.1	106.5
1976	25.6	108.2
1975	22.3	105
1974	24.1	108.8
1973	25.9	108
1972	23.1	104.5
1971	22.8	106.2
1970	24.2	106.5
1969	23.6	105.8
1968	23.4	104.4
1967	24.1	106.4
1966	23.1	106.4
1965	23.3	106
1964	21.7	103
1963	23.2	104.3
1962	24.4	106.7
1961	24.9	108.7
1960	26.2	108.7
1959	22.6	110.4
1958	25	108.5
1957	24.1	110.7
1956	25	108.8
1955	24.5	108.3
1954	25.3	107
1953	23.5	107.6
1952	26.1	108.9
1951	25	108.1
1950	23.8	110.5

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

Year	Myanmar (Burma)	Pakistan
2015	28.518.5–40	122100.8–136.6
2016	27.717.3–38.7	119.5104.9–132
2017	2818.9–38.5	119.999.5–134.3
2018	29.818.6–41.2	119.7103–133.8
2019	28.218.2–41.3	118.997.2–133.8
2020	28.616.8–41.4	122.8105–136.3
2021	29.719.4–40.8	122.9103.2–138.2
2022	31.521.7–42.7	120.7101.9–136.4
2023	30.319.9–41.6	123.3104.8–138.8
2024	31.720.1–43.7	124.4105.4–139.1
2025	32.721.3–44.8	123.8102.8–139.1
2026	30.420.3–44.5	122.5101.9–141.8
2027	30.620.4–44.2	124.4101.5–141
2028	31.119–43	124.8103.6–140.2
2029	32.720.9–46.4	126.499.2–141.6
2030	32.619.3–45	122.5103.5–140.1
2031	32.721.3–45.2	122.7105.6–139.9
2032	32.119.6–45.4	126104–143.9
2033	33.322–43.8	125.9106.6–144.1
2034	31.322–43.5	130.9113.2–147.8
2035	32.620.4–49	127.1107.6–143.6
2036	33.322.7–46.1	125.5108.3–143.4
2037	34.322.6–49.1	130.7112.4–147.9
2038	35.824.4–49.9	130.9108.6–144.9
2039	34.920.9–49	128.6110.2–144.9
2040	3419.2–51.2	133.2115.1–146.1
2041	3724.8–51.9	127.2108.3–143.5
2042	36.223–49.9	134.6112.8–150.7
2043	34.522.6–47.7	131.6112.5–149.3
2044	38.222.1–51.2	128.2108.1–145.9
2045	35.924.2–50.7	133.4116.7–148.7
2046	38.425.2–57.1	133.8109–151.1
2047	38.824.1–56.1	134.6110–150.9
2048	40.323.4–58.7	136117.1–152.3
2049	40.625.2–58.1	133.3115.2–152.5
2050	40.226.5–55.3	138.4119.4–157.4
2051	41.726.7–56.8	138115.5–158.2
2052	40.326.3–61.2	138.3120.3–155.3
2053	41.323.6–61.5	137.4117.7–155.8
2054	42.426.8–60.9	137116–152.4
2055	41.428.5–61.9	139.6120–157.2
2056	42.726.5–63	135.8117.3–154.1
2057	43.226.3–63.2	141.5119.5–158.8
2058	44.526.8–63.6	137.1114.3–154.7
2059	43.729.1–65.3	141.4122.6–156.6
2060	47.428.3–66	142.5124.1–158.6
2061	46.729.5–64.5	142.3123.2–157.4
2062	47.126.7–68.6	141.3118.8–161.2
2063	46.929–66.4	143.1125.6–160.6
2064	47.527.9–66.1	140.7119.8–163.5
2065	42.427.5–62.4	141.1121.5–159.3
2066	46.228.9–68.8	143.8122.5–163.4
2067	4125.7–63.6	144.2125.9–162.3
2068	46.928–70.4	143.2126–162.2
2069	48.729.3–70.1	144.7119.8–163.2
2070	43.927.5–64.3	143.7126.5–163
2071	4926.2–71.9	145.5121.8–164.4
2072	4730.6–71.4	147.1125.5–165.1
2073	50.732.2–74	149.2122.1–164.7
2074	4829.2–74	145.8126.7–162.2
2075	49.126.1–68.9	145.1126.2–160.5
2076	47.826.5–72.8	145.7126.4–165.9
2077	51.832.9–76.1	146.1126.2–164.4
2078	50.632.4–75.6	146.5121.4–164.4
2079	50.730.5–77	144.6122.7–161
2080	53.331.3–79.5	148.2123.7–166.4
2081	5235.5–79.1	145.8122.2–167
2082	52.532.5–76.8	146123.3–168.8
2083	51.730.5–79.6	148.3127–167.4
2084	52.329.5–76	150.5128.5–167.6
2085	51.232.9–79.4	149.9126.1–170.8
2086	52.632.5–80.1	146.3124.2–165
2087	51.732.6–77.9	149.9124.3–167.3
2088	50.727.2–88.8	149.3127.9–169.7
2089	52.731.4–86.3	148.9129.6–166.7
2090	54.231.1–80.1	150.3131.5–166.7
2091	53.235.4–80.1	151.1128.4–168.7
2092	54.135.4–85.5	150.5129.8–170.2
2093	5235.6–85	151.6131.8–167.9
2094	54.434.9–80.7	151.5130.4–168.6
2095	58.535.1–84.3	152.5130.6–169.2
2096	52.832.3–84.1	150.8124.2–169
2097	53.230.4–82.8	149.4130.3–167.5
2098	55.334.4–83.8	151.7125.4–168.2
2099	55.233.1–84.7	151.6124.4–170.6
2100	5734.6–84	147.6125.2–167.5

Each country on its own

Good to know

Days in a year whose highest temperature passes 35 °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