Skip to content

Life Expectancy in Denmark vs Myanmar (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 82.4 years in Denmark vs 67.5 in Myanmar. Denmark is ranked 31/197 by life expectancy, and Myanmar is 157/197. In Denmark, the life expectancy is 80.6 years for males and 84.2 years for females. In Myanmar, it's 64.4 years for males and 70.8 years for females.

Denmark vs Myanmar life expectancy at birth by year

Denmark
Male

Female
Myanmar
Male

Female
1x
Year Life expectancy, years
Denmark Myanmar
Average Male Female Average Male Female
2026 82.4 80.6 84.2 67.5 64.4 70.8
2025 82.2 80.4 84.1 67.3 64.2 70.6
2024 82.1 80.2 84 67.1 64 70.4
2023 81.9 80 83.9 66.9 63.8 70.2
2022 81.3 79.4 83.2 66.5 63.3 69.9
2021 81.4 79.6 83.3 65.6 62.5 68.8
2020 81.5 79.6 83.5 66.6 63.7 69.7
2019 81.4 79.4 83.4 66.5 63.6 69.5
2018 81 79 83 66.2 63.4 69.2
2017 81.1 79.1 83.1 65.9 63 68.9
2016 80.9 78.9 82.8 65.6 62.8 68.7
2015 80.7 78.8 82.7 65.3 62.4 68.4
2014 80.6 78.6 82.7 65 62.1 68
2013 80.3 78.3 82.3 64.6 61.8 67.6
2012 80.1 78.1 82 64.3 61.4 67.3
2011 79.8 77.7 81.8 63.9 61 66.9
2010 79.2 77.1 81.3 63.5 60.7 66.5
2009 79 76.8 81 63.1 60.3 66.1
2008 78.7 76.5 80.9 56.4 55.1 57.6
2007 78.3 76.1 80.5 62.4 59.5 65.4
2006 78.2 75.9 80.5 62 59.1 65.1
2005 78.2 75.9 80.4 61.7 58.8 64.8
2004 77.8 75.4 80.1 61.4 58.5 64.5
2003 77.4 75 79.7 61.2 58.3 64.3
2002 77.1 74.8 79.3 60.9 58 64.1
2001 77 74.7 79.2 60.6 57.7 63.8
2000 76.8 74.4 79.1 60.4 57.4 63.5
1999 76.6 74.2 78.9 60.1 57.2 63.2
1998 76.4 73.9 78.9 59.9 57 63
1997 76 73.6 78.5 59.5 56.6 62.6
1996 75.7 73.1 78.3 59.2 56.4 62.2
1995 75.3 72.7 77.8 58.7 56 61.5
1994 75.4 72.8 78.1 58.3 55.7 61.1
1993 75.2 72.6 77.8 58 55.5 60.7
1992 75.3 72.6 78 57.7 55.2 60.4
1991 75.2 72.5 78 57.4 55 59.9
1990 74.9 72 77.7 57.2 54.8 59.7
1989 74.9 72 77.8 56.9 54.6 59.3
1988 74.8 72 77.6 56.6 54.2 59
1987 74.7 71.7 77.8 56.4 54.1 58.8
1986 74.6 71.8 77.5 56.1 53.8 58.5
1985 74.5 71.5 77.5 55.8 53.6 58.2
1984 74.6 71.7 77.6 55.6 53.4 57.9
1983 74.5 71.4 77.5 55.3 53.1 57.6
1982 74.6 71.6 77.7 55 52.9 57.3
1981 74.3 71.2 77.4 54.7 52.6 56.9
1980 74.1 71.2 77.2 54.4 52.3 56.6
1979 74.2 71.2 77.4 54 52 56.2
1978 74.4 71.5 77.4 53.5 51.4 55.8
1977 74.7 71.7 77.7 53.3 51.2 55.4
1976 73.8 70.9 76.7 52.9 50.9 55
1975 74.1 71.3 77 52.5 50.5 54.6
1974 73.8 70.9 76.8 52.1 50.1 54.2
1973 73.7 71 76.5 51.8 49.8 53.8
1972 73.5 70.8 76.2 51.4 49.5 53.4
1971 73.4 70.8 76.2 51 49.1 53
1970 73.4 70.9 75.9 50.5 48.5 52.5
1969 73.2 70.9 75.7 50 48.1 52
1968 73.1 70.8 75.6 49.4 47.5 51.3
1967 73 70.6 75.4 48.9 47.1 50.8
1966 72.5 70.2 74.8 48.2 46.4 50
1965 72.4 70.2 74.6 47.4 45.7 49.2
1964 72.5 70.3 74.8 46.7 44.9 48.5
1963 72.4 70.4 74.5 46 44.3 47.7
1962 72.4 70.3 74.4 45.3 43.5 47.1
1961 72.5 70.6 74.4 44.6 42.9 46.3
1960 72.2 70.4 74 44.1 42.4 45.8
1959 72.2 70.6 73.9 43.4 41.7 45.2
1958 72.2 70.5 74 42.8 41.1 44.5
1957 71.8 70.2 73.5 42 40.3 43.8
1956 72 70.4 73.7 41.2 39.6 42.8
1955 71.9 70.4 73.5 40.4 38.9 42.1
1954 71.3 69.9 72.8 39.6 38 41.2
1953 71.2 69.9 72.5 38.6 37 40.2
1952 70.8 69.4 72.1 37.7 36.2 39.3
1951 70.9 69.7 72.2 36.5 35 38.1
1950 70.3 69.1 71.5 35.7 34.1 37.4

Data sources: United Nations | World Population Prospects (1950–2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/denmark/myanmar | CC BY

Life expectancy is the average age of death for a hypothetical cohort of newborns if they experienced the age-specific mortality rates of one particular year throughout their entire lives. It's a snapshot reflecting mortality rates in a given year that does not account for any future changes in those rates.

Healthy life expectancy at birth, defined by the World Health Organization as the average number of years a person can expect to live in full health, is 70.1 years in Denmark and 59.8 in Myanmar. People who reach age 60 can expect an additional 18 healthy years in Denmark and 13 in Myanmar.

Denmark vs Myanmar life expectancy calculator

This life expectancy calculator shows the odds of living to 100, 95, 90, and below based on current age for both males and females in Denmark and Myanmar, along with mean and median age of death. The calculations are based on the 2026 life tables (actuarial tables) from the UN World Population Prospects.


Mean remaining life expectancy:
52.9 vs 42.1 years

Mean expected age of death:
82.9 vs 72.1 years

Median expected age of death:
85.3 vs 74.4 years

Odds of living to

Target age Survival probability
Denmark Myanmar
Male Female Male Female
40 99.4% 99.7% 96.5% 98.1%
50 98.0% 98.8% 90.3% 94.5%
60 93.7% 96.1% 78.0% 86.9%
65 89.4% 93.2% 68.2% 80.2%
70 83.3% 89.1% 55.6% 70.1%
75 74.8% 83.0% 40.4% 55.8%
80 62.5% 73.2% 24.4% 37.9%
85 44.7% 57.4% 11.0% 19.6%
90 23.5% 35.9% 3.2% 6.8%
95 7.1% 14.7% 0.5% 1.2%
100 1.0% 3.0% 0.0% 0.1%

Life expectancy by current age

Denmark
Male

Female
Myanmar
Male

Female
1x
Current age, years Total life expectancy, years
Denmark Myanmar
Average Male Female Average Male Female
100 102.1 101.8 102.2 101.7 101.6 101.7
99 101.2 100.9 101.3 100.7 100.6 100.7
98 100.4 100.1 100.5 99.8 99.7 99.8
97 99.6 99.2 99.7 98.9 98.8 98.9
96 98.8 98.4 98.9 98 97.9 98
95 98 97.6 98.1 97.1 97 97.2
94 97.2 96.8 97.4 96.2 96.1 96.3
93 96.5 96 96.7 95.4 95.2 95.4
92 95.8 95.3 96 94.5 94.3 94.6
91 95.1 94.6 95.4 93.7 93.5 93.8
90 94.4 93.9 94.7 92.9 92.6 93
89 93.8 93.2 94.2 92.1 91.8 92.2
88 93.2 92.6 93.6 91.3 91 91.4
87 92.6 92 93.1 90.5 90.3 90.7
86 92.1 91.4 92.5 89.8 89.5 90
85 91.6 90.9 92.1 89.1 88.8 89.3
84 91.1 90.3 91.6 88.4 88 88.6
83 90.6 89.8 91.2 87.7 87.3 87.9
82 90.2 89.4 90.8 87 86.6 87.2
81 89.7 88.9 90.4 86.3 85.9 86.6
80 89.4 88.5 90 85.7 85.3 86
79 89 88.1 89.7 85.1 84.6 85.4
78 88.7 87.7 89.4 84.5 84 84.8
77 88.3 87.4 89.1 83.9 83.4 84.3
76 88 87.1 88.8 83.3 82.8 83.8
75 87.7 86.7 88.6 82.8 82.2 83.3
74 87.4 86.4 88.3 82.3 81.6 82.8
73 87.2 86.1 88.1 81.8 81.1 82.3
72 86.9 85.8 87.9 81.3 80.5 81.9
71 86.7 85.6 87.7 80.9 80 81.5
70 86.4 85.3 87.5 80.4 79.5 81.1
69 86.2 85 87.3 80 79.1 80.7
68 86 84.8 87.1 79.6 78.6 80.4
67 85.8 84.5 87 79.2 78.2 80
66 85.6 84.3 86.8 78.8 77.7 79.7
65 85.4 84.1 86.6 78.5 77.3 79.4
64 85.2 83.9 86.5 78.1 76.9 79.1
63 85 83.7 86.3 77.8 76.6 78.9
62 84.8 83.5 86.2 77.5 76.2 78.6
61 84.7 83.3 86 77.2 75.8 78.4
60 84.5 83.1 85.9 76.9 75.5 78.1
59 84.4 82.9 85.8 76.6 75.2 77.9
58 84.3 82.8 85.7 76.3 74.8 77.7
57 84.1 82.6 85.6 76.1 74.5 77.5
56 84 82.5 85.5 75.8 74.3 77.3
55 83.9 82.4 85.4 75.6 74 77.1
54 83.8 82.3 85.3 75.4 73.7 76.9
53 83.7 82.2 85.3 75.2 73.5 76.8
52 83.6 82.1 85.2 75 73.2 76.6
51 83.6 82 85.1 74.8 73 76.5
50 83.5 81.9 85.1 74.6 72.8 76.3
49 83.4 81.8 85 74.4 72.6 76.2
48 83.4 81.8 85 74.2 72.4 76
47 83.3 81.7 84.9 74.1 72.2 75.9
46 83.3 81.6 84.9 73.9 72 75.8
45 83.2 81.6 84.9 73.8 71.8 75.7
44 83.2 81.5 84.8 73.6 71.6 75.6
43 83.2 81.5 84.8 73.5 71.5 75.5
42 83.1 81.5 84.8 73.4 71.3 75.4
41 83.1 81.4 84.8 73.2 71.2 75.3
40 83.1 81.4 84.7 73.1 71 75.2
39 83 81.4 84.7 73 70.9 75.1
38 83 81.3 84.7 72.9 70.8 75
37 83 81.3 84.7 72.8 70.6 74.9
36 83 81.3 84.7 72.7 70.5 74.9
35 83 81.2 84.6 72.6 70.4 74.8
34 82.9 81.2 84.6 72.5 70.2 74.7
33 82.9 81.2 84.6 72.4 70.1 74.6
32 82.9 81.2 84.6 72.3 70 74.6
31 82.9 81.2 84.6 72.2 69.9 74.5
30 82.9 81.1 84.6 72.1 69.8 74.4
29 82.8 81.1 84.6 72 69.7 74.4
28 82.8 81.1 84.6 71.9 69.5 74.3
27 82.8 81.1 84.5 71.8 69.4 74.2
26 82.8 81.1 84.5 71.7 69.3 74.2
25 82.8 81 84.5 71.6 69.2 74.1
24 82.8 81 84.5 71.5 69.1 74
23 82.8 81 84.5 71.4 68.9 74
22 82.7 81 84.5 71.3 68.8 73.9
21 82.7 81 84.5 71.2 68.7 73.9
20 82.7 80.9 84.5 71.2 68.6 73.8
19 82.7 80.9 84.5 71.1 68.5 73.7
18 82.7 80.9 84.5 71 68.4 73.7
17 82.7 80.9 84.5 70.9 68.3 73.6
16 82.7 80.9 84.5 70.9 68.2 73.6
15 82.7 80.9 84.5 70.8 68.1 73.6
14 82.7 80.9 84.5 70.7 68 73.5
13 82.7 80.9 84.5 70.7 68 73.5
12 82.7 80.9 84.4 70.7 67.9 73.5
11 82.7 80.9 84.4 70.6 67.9 73.4
10 82.7 80.9 84.4 70.6 67.8 73.4
9 82.7 80.9 84.4 70.5 67.7 73.4
8 82.7 80.9 84.4 70.5 67.7 73.3
7 82.7 80.9 84.4 70.4 67.6 73.3
6 82.7 80.9 84.4 70.3 67.5 73.3
5 82.6 80.9 84.4 70.2 67.4 73.2
4 82.6 80.8 84.4 70.1 67.3 73.1
3 82.6 80.8 84.4 70 67.1 73
2 82.6 80.8 84.4 69.9 67 72.9
1 82.6 80.8 84.4 69.7 66.8 72.7
0 82.4 80.6 84.2 67.5 64.4 70.8

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/denmark/myanmar | CC BY

Life expectancy is often mistaken for the average lifespan of an adult. However, an adult has already survived the causes of early-age mortality and can expect to live longer than the figure calculated at birth.

A 30-year-old in Denmark can expect to live to 82.9 years compared to 72.1 in Myanmar, rising to 85.4 and 78.5 at 65, and to 89.4 and 85.7 at 80 — higher than the 82.4 and 67.5 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Denmark and Myanmar.

Probability of surviving to a given age

Denmark
Male

Female
Myanmar
Male

Female
1x
Age Survival probability
Denmark Myanmar
Average Male Female Average Male Female
100 2.06% 0.96% 3.02% 0.06% 0.03% 0.1%
99 3.07% 1.54% 4.43% 0.11% 0.05% 0.18%
98 4.43% 2.39% 6.26% 0.19% 0.09% 0.3%
97 6.18% 3.55% 8.57% 0.32% 0.15% 0.49%
96 8.36% 5.1% 11.4% 0.51% 0.25% 0.77%
95 11% 7.08% 14.6% 0.79% 0.41% 1.18%
94 14% 9.51% 18.3% 1.19% 0.64% 1.76%
93 17.5% 12.4% 22.4% 1.74% 0.98% 2.54%
92 21.3% 15.7% 26.7% 2.49% 1.45% 3.57%
91 25.3% 19.4% 31.2% 3.44% 2.07% 4.87%
90 29.6% 23.3% 35.7% 4.63% 2.88% 6.46%
89 33.9% 27.4% 40.3% 6.06% 3.88% 8.34%
88 38.2% 31.7% 44.7% 7.74% 5.09% 10.5%
87 42.5% 36% 49.1% 9.65% 6.52% 12.9%
86 46.7% 40.2% 53.2% 11.8% 8.16% 15.6%
85 50.7% 44.3% 57.2% 14.2% 10% 18.5%
84 54.5% 48.2% 60.8% 16.8% 12.1% 21.7%
83 58.1% 52% 64.3% 19.6% 14.4% 25.1%
82 61.5% 55.6% 67.4% 22.6% 16.8% 28.6%
81 64.6% 58.9% 70.3% 25.7% 19.4% 32.2%
80 67.4% 62% 72.9% 28.9% 22.2% 35.8%
79 70% 64.8% 75.2% 32.1% 25% 39.4%
78 72.3% 67.4% 77.3% 35.3% 27.9% 42.9%
77 74.5% 69.8% 79.2% 38.4% 30.9% 46.3%
76 76.5% 72.1% 81% 41.5% 33.8% 49.6%
75 78.3% 74.2% 82.5% 44.6% 36.7% 52.8%
74 80% 76.1% 84% 47.5% 39.6% 55.8%
73 81.6% 77.9% 85.3% 50.4% 42.5% 58.7%
72 83% 79.6% 86.5% 53.1% 45.3% 61.4%
71 84.4% 81.1% 87.6% 55.7% 48% 63.9%
70 85.6% 82.6% 88.6% 58.2% 50.6% 66.3%
69 86.7% 84% 89.6% 60.6% 53.1% 68.5%
68 87.8% 85.3% 90.4% 62.8% 55.5% 70.5%
67 88.8% 86.5% 91.3% 64.9% 57.8% 72.4%
66 89.8% 87.6% 92% 66.9% 60% 74.2%
65 90.7% 88.7% 92.7% 68.7% 62% 75.8%
64 91.5% 89.7% 93.4% 70.5% 64% 77.3%
63 92.3% 90.6% 94% 72.1% 65.9% 78.6%
62 93% 91.5% 94.6% 73.6% 67.7% 79.9%
61 93.7% 92.2% 95.1% 75% 69.4% 81.1%
60 94.3% 93% 95.6% 76.4% 71% 82.1%
59 94.8% 93.6% 96% 77.6% 72.4% 83.1%
58 95.3% 94.2% 96.4% 78.8% 73.8% 84%
57 95.7% 94.8% 96.7% 79.9% 75.1% 84.9%
56 96.1% 95.2% 97% 80.9% 76.3% 85.7%
55 96.5% 95.7% 97.3% 81.8% 77.5% 86.4%
54 96.8% 96% 97.6% 82.7% 78.5% 87.1%
53 97.1% 96.4% 97.8% 83.5% 79.5% 87.7%
52 97.3% 96.7% 98% 84.2% 80.4% 88.3%
51 97.6% 97% 98.2% 84.9% 81.3% 88.8%
50 97.8% 97.2% 98.3% 85.6% 82.1% 89.3%
49 97.9% 97.4% 98.5% 86.2% 82.9% 89.8%
48 98.1% 97.6% 98.6% 86.8% 83.5% 90.2%
47 98.2% 97.8% 98.7% 87.3% 84.2% 90.6%
46 98.4% 98% 98.8% 87.8% 84.8% 91%
45 98.5% 98.1% 98.9% 88.2% 85.4% 91.3%
44 98.6% 98.2% 98.9% 88.7% 85.9% 91.6%
43 98.7% 98.3% 99% 89.1% 86.4% 91.9%
42 98.7% 98.4% 99.1% 89.5% 86.9% 92.2%
41 98.8% 98.5% 99.1% 89.8% 87.3% 92.5%
40 98.9% 98.6% 99.2% 90.1% 87.7% 92.7%
39 98.9% 98.7% 99.2% 90.5% 88.1% 92.9%
38 99% 98.8% 99.3% 90.7% 88.5% 93.1%
37 99.1% 98.8% 99.3% 91% 88.9% 93.4%
36 99.1% 98.9% 99.3% 91.3% 89.2% 93.5%
35 99.1% 98.9% 99.4% 91.6% 89.5% 93.7%
34 99.2% 99% 99.4% 91.8% 89.8% 93.9%
33 99.2% 99% 99.4% 92% 90.1% 94.1%
32 99.3% 99.1% 99.4% 92.3% 90.4% 94.2%
31 99.3% 99.1% 99.5% 92.5% 90.7% 94.4%
30 99.3% 99.2% 99.5% 92.7% 90.9% 94.5%
29 99.4% 99.2% 99.5% 92.9% 91.2% 94.7%
28 99.4% 99.2% 99.5% 93.1% 91.4% 94.8%
27 99.4% 99.3% 99.5% 93.3% 91.7% 94.9%
26 99.4% 99.3% 99.6% 93.5% 92% 95.1%
25 99.5% 99.4% 99.6% 93.6% 92.2% 95.2%
24 99.5% 99.4% 99.6% 93.8% 92.5% 95.3%
23 99.5% 99.4% 99.6% 94% 92.7% 95.4%
22 99.5% 99.5% 99.6% 94.2% 93% 95.5%
21 99.6% 99.5% 99.6% 94.4% 93.2% 95.6%
20 99.6% 99.5% 99.6% 94.6% 93.4% 95.7%
19 99.6% 99.5% 99.6% 94.7% 93.6% 95.8%
18 99.6% 99.6% 99.7% 94.8% 93.8% 95.9%
17 99.6% 99.6% 99.7% 95% 94% 96%
16 99.6% 99.6% 99.7% 95.1% 94.2% 96.1%
15 99.6% 99.6% 99.7% 95.2% 94.3% 96.1%
14 99.6% 99.6% 99.7% 95.3% 94.4% 96.2%
13 99.7% 99.6% 99.7% 95.4% 94.5% 96.2%
12 99.7% 99.6% 99.7% 95.4% 94.6% 96.3%
11 99.7% 99.6% 99.7% 95.5% 94.7% 96.3%
10 99.7% 99.6% 99.7% 95.6% 94.8% 96.4%
9 99.7% 99.6% 99.7% 95.7% 94.9% 96.4%
8 99.7% 99.6% 99.7% 95.7% 95% 96.5%
7 99.7% 99.6% 99.7% 95.8% 95.2% 96.5%
6 99.7% 99.6% 99.7% 95.9% 95.3% 96.6%
5 99.7% 99.6% 99.7% 96.1% 95.5% 96.7%
4 99.7% 99.7% 99.7% 96.2% 95.7% 96.8%
3 99.7% 99.7% 99.7% 96.4% 95.9% 96.9%
2 99.7% 99.7% 99.7% 96.6% 96.1% 97.1%
1 99.7% 99.7% 99.8% 96.8% 96.3% 97.4%

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/denmark/myanmar | CC BY

This chart shows the odds of living to each age from birth. 94.3% of newborns in Denmark and 76.4% in Myanmar are expected to live past 60, 85.6% and 58.2% past 70, 67.4% and 28.9% past 80, and only 29.6% and 4.63% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Compare countries by 7 more topics

Odds of dying at each age

Denmark
Male

Female
Myanmar
Male

Female
1x
Age Probability of dying
Denmark Myanmar
Average Male Female Average Male Female
100 35.2% 40.3% 34% 45% 47.5% 44.5%
99 33% 37.8% 31.7% 43.2% 45.6% 42.5%
98 30.6% 35.3% 29.3% 41.2% 43.7% 40.5%
97 28.3% 32.8% 26.9% 39.3% 41.8% 38.5%
96 26.1% 30.4% 24.6% 37.4% 40% 36.5%
95 23.9% 27.9% 22.3% 35.6% 38.1% 34.7%
94 21.8% 25.6% 20.2% 33.7% 36.3% 32.8%
93 19.8% 23.3% 18.1% 31.9% 34.3% 30.9%
92 17.8% 21% 16.1% 29.9% 32.3% 28.9%
91 16% 18.9% 14.4% 27.8% 30.2% 26.8%
90 14.3% 16.9% 12.8% 25.7% 28% 24.6%
89 12.7% 15.1% 11.3% 23.6% 25.8% 22.5%
88 11.4% 13.4% 9.99% 21.6% 23.8% 20.5%
87 10.1% 11.9% 8.83% 19.8% 21.9% 18.8%
86 8.92% 10.5% 7.79% 18.2% 20.1% 17.2%
85 7.91% 9.28% 6.88% 16.8% 18.6% 15.8%
84 7% 8.2% 6.06% 15.5% 17.1% 14.6%
83 6.18% 7.25% 5.33% 14.3% 15.8% 13.4%
82 5.44% 6.4% 4.67% 13.2% 14.6% 12.3%
81 4.79% 5.65% 4.08% 12.1% 13.5% 11.2%
80 4.21% 4.96% 3.55% 11% 12.4% 10.1%
79 3.69% 4.37% 3.1% 10% 11.3% 9.11%
78 3.26% 3.87% 2.73% 9.07% 10.4% 8.19%
77 2.89% 3.45% 2.41% 8.23% 9.52% 7.36%
76 2.6% 3.11% 2.14% 7.48% 8.72% 6.63%
75 2.35% 2.82% 1.92% 6.81% 7.98% 5.99%
74 2.12% 2.56% 1.73% 6.21% 7.31% 5.41%
73 1.92% 2.32% 1.55% 5.66% 6.7% 4.89%
72 1.74% 2.11% 1.4% 5.16% 6.13% 4.42%
71 1.58% 1.92% 1.26% 4.69% 5.62% 3.98%
70 1.44% 1.76% 1.14% 4.27% 5.15% 3.58%
69 1.33% 1.63% 1.04% 3.88% 4.72% 3.22%
68 1.23% 1.51% 0.96% 3.54% 4.33% 2.89%
67 1.14% 1.4% 0.9% 3.23% 3.98% 2.6%
66 1.06% 1.3% 0.83% 2.95% 3.66% 2.35%
65 0.98% 1.2% 0.77% 2.7% 3.37% 2.12%
64 0.91% 1.11% 0.71% 2.47% 3.1% 1.92%
63 0.84% 1.02% 0.65% 2.26% 2.86% 1.74%
62 0.77% 0.94% 0.6% 2.07% 2.63% 1.58%
61 0.7% 0.86% 0.54% 1.9% 2.42% 1.44%
60 0.63% 0.78% 0.49% 1.74% 2.22% 1.31%
59 0.57% 0.7% 0.44% 1.6% 2.04% 1.19%
58 0.51% 0.63% 0.39% 1.47% 1.88% 1.08%
57 0.46% 0.57% 0.35% 1.35% 1.73% 0.99%
56 0.41% 0.51% 0.32% 1.24% 1.59% 0.91%
55 0.37% 0.44% 0.29% 1.14% 1.47% 0.84%
54 0.33% 0.39% 0.26% 1.06% 1.35% 0.77%
53 0.29% 0.35% 0.23% 0.97% 1.25% 0.71%
52 0.26% 0.31% 0.21% 0.9% 1.15% 0.66%
51 0.23% 0.28% 0.18% 0.83% 1.06% 0.61%
50 0.21% 0.26% 0.16% 0.77% 0.98% 0.56%
49 0.19% 0.23% 0.14% 0.71% 0.9% 0.52%
48 0.17% 0.21% 0.12% 0.65% 0.83% 0.48%
47 0.15% 0.18% 0.11% 0.6% 0.77% 0.44%
46 0.13% 0.16% 0.1% 0.56% 0.72% 0.41%
45 0.11% 0.14% 0.08% 0.52% 0.67% 0.37%
44 0.1% 0.12% 0.08% 0.48% 0.62% 0.35%
43 0.09% 0.11% 0.07% 0.45% 0.58% 0.32%
42 0.08% 0.1% 0.06% 0.42% 0.54% 0.3%
41 0.07% 0.09% 0.06% 0.39% 0.51% 0.28%
40 0.07% 0.08% 0.05% 0.37% 0.47% 0.26%
39 0.06% 0.08% 0.05% 0.35% 0.45% 0.25%
38 0.06% 0.07% 0.04% 0.33% 0.42% 0.23%
37 0.05% 0.06% 0.04% 0.31% 0.4% 0.22%
36 0.05% 0.06% 0.03% 0.29% 0.38% 0.21%
35 0.04% 0.06% 0.03% 0.28% 0.36% 0.2%
34 0.04% 0.05% 0.03% 0.26% 0.34% 0.19%
33 0.04% 0.05% 0.03% 0.25% 0.33% 0.18%
32 0.04% 0.05% 0.02% 0.24% 0.31% 0.17%
31 0.03% 0.04% 0.02% 0.23% 0.3% 0.16%
30 0.03% 0.04% 0.02% 0.22% 0.29% 0.16%
29 0.03% 0.04% 0.02% 0.22% 0.28% 0.15%
28 0.03% 0.04% 0.02% 0.21% 0.28% 0.14%
27 0.03% 0.04% 0.02% 0.21% 0.28% 0.14%
26 0.03% 0.04% 0.01% 0.21% 0.27% 0.13%
25 0.02% 0.04% 0.01% 0.2% 0.27% 0.13%
24 0.02% 0.03% 0.01% 0.2% 0.27% 0.13%
23 0.02% 0.03% 0.01% 0.2% 0.27% 0.12%
22 0.02% 0.03% 0.01% 0.19% 0.27% 0.12%
21 0.02% 0.03% 0.01% 0.19% 0.26% 0.11%
20 0.02% 0.03% 0.01% 0.18% 0.24% 0.11%
19 0.02% 0.03% 0.01% 0.16% 0.23% 0.1%
18 0.02% 0.02% 0.01% 0.15% 0.2% 0.09%
17 0.01% 0.02% 0.01% 0.13% 0.18% 0.08%
16 0.01% 0.01% 0.008% 0.12% 0.16% 0.07%
15 0.008% 0.009% 0.007% 0.1% 0.14% 0.07%
14 0.006% 0.007% 0.005% 0.09% 0.13% 0.06%
13 0.005% 0.005% 0.004% 0.08% 0.11% 0.05%
12 0.004% 0.005% 0.003% 0.08% 0.11% 0.05%
11 0.004% 0.005% 0.003% 0.08% 0.11% 0.05%
10 0.004% 0.004% 0.003% 0.08% 0.11% 0.05%
9 0.004% 0.004% 0.003% 0.08% 0.11% 0.05%
8 0.004% 0.004% 0.004% 0.09% 0.12% 0.05%
7 0.004% 0.004% 0.004% 0.1% 0.13% 0.06%
6 0.004% 0.004% 0.004% 0.11% 0.15% 0.07%
5 0.004% 0.004% 0.004% 0.13% 0.17% 0.09%
4 0.004% 0.005% 0.004% 0.15% 0.19% 0.11%
3 0.006% 0.007% 0.005% 0.18% 0.21% 0.14%
2 0.01% 0.01% 0.01% 0.21% 0.23% 0.19%
1 0.03% 0.03% 0.03% 0.26% 0.26% 0.25%
0 0.27% 0.29% 0.24% 3.16% 3.67% 2.63%

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/denmark/myanmar | CC BY

This chart displays the probability of dying at any given age in Denmark compared to Myanmar, as mortality rates vary throughout a lifetime.

The annual chance of dying is 0.27% in the birth year in Denmark and 3.16% in Myanmar, 0.03% vs 0.22% at age 30, 0.63% vs 1.74% at 60, and 4.21% vs 11% at 80.

Death rate by age in Denmark vs Myanmar

Denmark
Male

Female
Myanmar
Male

Female
1x
Age Death rate
Denmark Myanmar
Total Male Female Total Male Female
100 570 176.1 916 0 0 0
99 1,013 583 1,405 48.9 22.8 76.2
98 1,356 843 1,834 79.4 38.8 121.9
97 1,750 1,167 2,304 124.6 63.8 188.2
96 2,179 1,549 2,792 189.6 101.6 281.7
95 2,626 1,977 3,268 279.8 156.5 409
94 3,062 2,434 3,698 401 233.5 575
93 3,458 2,888 4,051 555 336 784
92 3,788 3,300 4,309 743 467 1,030
91 4,056 3,663 4,484 957 625 1,303
90 4,233 3,943 4,558 1,190 806 1,590
89 4,320 4,134 4,544 1,431 1,003 1,877
88 4,344 4,252 4,472 1,674 1,211 2,156
87 4,291 4,276 4,334 1,916 1,426 2,426
86 4,166 4,213 4,144 2,155 1,643 2,688
85 4,010 4,108 3,932 2,389 1,860 2,938
84 3,817 3,957 3,690 2,610 2,073 3,169
83 3,591 3,771 3,426 2,810 2,274 3,366
82 3,345 3,556 3,148 2,976 2,458 3,514
81 3,096 3,326 2,867 3,100 2,616 3,601
80 2,834 3,075 2,587 3,176 2,744 3,623
79 2,582 2,829 2,332 3,207 2,839 3,589
78 2,360 2,610 2,110 3,198 2,903 3,513
77 2,156 2,409 1,907 3,162 2,938 3,410
76 1,985 2,242 1,734 3,109 2,947 3,290
75 1,838 2,094 1,584 3,037 2,933 3,160
74 1,700 1,949 1,449 2,952 2,898 3,020
73 1,565 1,806 1,324 2,852 2,846 2,870
72 1,442 1,676 1,209 2,740 2,777 2,711
71 1,331 1,558 1,103 2,617 2,695 2,545
70 1,235 1,457 1,010 2,486 2,602 2,374
69 1,154 1,372 935 2,353 2,503 2,205
68 1,082 1,289 872 2,221 2,401 2,041
67 1,016 1,211 819 2,093 2,297 1,887
66 953 1,135 768 1,971 2,193 1,743
65 891 1,063 716 1,854 2,090 1,610
64 831 995 664 1,741 1,986 1,486
63 772 926 614 1,632 1,883 1,371
62 714 858 566 1,527 1,780 1,264
61 655 790 517 1,427 1,678 1,164
60 597 723 468 1,331 1,578 1,072
59 543 660 422 1,240 1,480 987
58 490 598 380 1,154 1,386 911
57 442 538 342 1,076 1,297 842
56 396 481 310 1,003 1,214 780
55 353 425 280.4 936 1,135 724
54 316 377 254 872 1,061 673
53 280.9 335 227 813 990 625
52 251.8 302 201.4 757 924 581
51 226.2 274.8 177.8 705 861 540
50 203.6 250.1 157 656 802 501
49 182.7 226.5 138.5 610 747 464
48 162.5 203 121.7 567 696 430
47 144.1 180.7 107.1 528 650 398
46 126.7 158.9 94.2 492 608 368
45 111.1 138.9 83.3 459 569 342
44 98.4 121.8 74.6 429 533 317
43 87.8 107.8 67.2 401 501 295.4
42 79.2 97.2 60.6 376 470 275.8
41 72.7 89.2 55.6 353 442 258.5
40 66.5 81.4 51.1 332 416 242.9
39 60.9 74.2 47 313 393 228.9
38 55.9 68.3 42.9 296.2 371 216.1
37 51.6 64 38.6 280.8 352 204.4
36 47.9 60.7 34.6 266.9 336 193.6
35 44.2 57.1 30.8 254.3 321 183.7
34 41 53.6 27.8 243 307 174.8
33 37.8 49.6 25.4 232.8 294.9 166.6
32 35.2 46.3 23.5 223.5 283.8 159.3
31 33 43.7 21.9 215.2 273.9 152.7
30 31.4 41.9 20.4 207.9 265.5 146.7
29 29.6 39.9 18.8 202.1 259.1 141.4
28 28.3 38.6 17.5 197.6 254.9 136.5
27 26.9 37.3 16.2 194.3 252.8 132
26 26 36.7 14.9 192 252.4 127.6
25 24.8 35.6 13.7 190.4 253.2 123.3
24 23.8 34.3 12.9 188.8 254 119.3
23 23.1 33.3 12.6 186.4 253.1 115.3
22 22.4 31.9 12.5 182.4 249.3 111.1
21 21.8 30.7 12.6 176.1 241.2 106.5
20 20.8 28.7 12.5 166.9 228.5 101.2
19 18.5 25 11.6 155.2 211.6 94.9
18 15.8 20.8 10.5 141.5 191.9 87.7
17 13.2 16.7 9.49 126.9 171.1 79.7
16 10.3 12.4 8.1 112.5 151 71.4
15 8.08 9.28 6.84 99.4 133.1 63.5
14 6.13 6.84 5.38 88.7 118.8 56.6
13 4.79 5.42 4.14 80.8 108.5 51.1
12 4.06 4.74 3.34 75.8 102.5 47.2
11 3.73 4.49 2.94 73.9 100.8 45.1
10 3.7 4.43 2.93 74.7 102.7 44.8
9 3.66 4.15 3.14 78.4 108.2 46.5
8 3.71 3.91 3.5 84.8 116.9 50.5
7 3.75 3.77 3.72 94.1 128.4 57.4
6 3.87 3.98 3.75 106.6 142.5 68.2
5 4.03 4.36 3.68 122.9 158.9 84.2
4 4.37 4.88 3.82 143.8 177.8 107.5
3 5.8 6.55 5.01 170.7 199.2 140.2
2 11.2 12.5 9.81 205.2 223.4 185.7
1 31 34.1 27.6 249.9 251.4 248.2
0 266.1 293.9 236.8 3,164 3,669 2,626

Data sources: United Nations | World Population Prospects (2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/denmark/myanmar | CC BY

This chart shows the number of deaths by age up to 100 for 3 cohorts of 100,000 newborns each — male, female, and both combined — illustrating how expected mortality is distributed throughout life.

In Denmark, the most common age of death is 88, compared to 79 in Myanmar. The median age of death is 85.2 in Denmark and 73.1 in Myanmar, meaning only half of each cohort is expected to live past that age.

Note that this chart does not show rates per 100,000 population, as those would be skewed by age structure differences and reflect the demographics of Denmark and Myanmar more than their death rates.

Life expectancy in other countries

1x

Data sources: United Nations | World Population Prospects (1960–2026, retrieved 2026-03-10).

GeoRank.org/life-expectancy/denmark/myanmar | CC BY

Help us show the world through your eyes

Share a photo of your city and help others discover what it looks like to live there. Your contribution makes our data come alive.

Data sources:

  1. United Nations | World Population Prospects (1950–2026, retrieved 2026-03-10)
  2. World Health Organization (WHO) | Global Health Observatory (2021, retrieved 2026-02-08)

Creative Commons Attribution (CC BY) — you’re free to copy, share, remix, adapt, and use even commercially as long as you give appropriate credit and clearly indicate if you made changes. Other sources may be subject to different license terms.