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Life Expectancy in Argentina vs Myanmar (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 77.8 years in Argentina vs 67.5 in Myanmar. Argentina is ranked 66/197 by life expectancy, and Myanmar is 157/197. In Argentina, the life expectancy is 75.3 years for males and 80.3 years for females. In Myanmar, it's 64.4 years for males and 70.8 years for females.

Argentina vs Myanmar life expectancy at birth by year

Argentina
Male

Female
Myanmar
Male

Female
1x
Year Life expectancy, years
Argentina Myanmar
Average Male Female Average Male Female
2026 77.8 75.3 80.3 67.5 64.4 70.8
2025 77.7 75.1 80.2 67.3 64.2 70.6
2024 77.5 75 80 67.1 64 70.4
2023 77.4 74.8 79.9 66.9 63.8 70.2
2022 75.8 73.2 78.3 66.5 63.3 69.9
2021 73.9 71.1 76.9 65.6 62.5 68.8
2020 75.9 73 78.8 66.6 63.7 69.7
2019 76.8 74.2 79.4 66.5 63.6 69.5
2018 76.8 74 79.5 66.2 63.4 69.2
2017 76.5 73.8 79.2 65.9 63 68.9
2016 76.1 73 79.1 65.6 62.8 68.7
2015 76.6 73.4 79.8 65.3 62.4 68.4
2014 76.3 73.3 79.2 65 62.1 68
2013 75.8 73 78.6 64.6 61.8 67.6
2012 75.8 72.9 78.7 64.3 61.4 67.3
2011 76.1 72.7 79.4 63.9 61 66.9
2010 75.7 72.5 78.7 63.5 60.7 66.5
2009 75.6 72.4 78.6 63.1 60.3 66.1
2008 75.4 72.2 78.6 56.4 55.1 57.6
2007 74.8 71.6 77.9 62.4 59.5 65.4
2006 75.3 72 78.4 62 59.1 65.1
2005 75.2 71.8 78.6 61.7 58.8 64.8
2004 74.9 71.5 78.2 61.4 58.5 64.5
2003 74.3 70.8 77.8 61.2 58.3 64.3
2002 74.3 70.7 77.9 60.9 58 64.1
2001 74.2 70.6 77.6 60.6 57.7 63.8
2000 73.9 70.5 77.3 60.4 57.4 63.5
1999 73.7 70.3 77.1 60.1 57.2 63.2
1998 73.4 69.9 76.9 59.9 57 63
1997 73.4 70 76.8 59.5 56.6 62.6
1996 73.1 69.7 76.4 59.2 56.4 62.2
1995 72.9 69.5 76.2 58.7 56 61.5
1994 72.7 69.5 75.9 58.3 55.7 61.1
1993 72.3 68.9 75.7 58 55.5 60.7
1992 72.1 68.7 75.5 57.7 55.2 60.4
1991 72 68.7 75.3 57.4 55 59.9
1990 71.6 68.3 74.9 57.2 54.8 59.7
1989 71.5 68 75 56.9 54.6 59.3
1988 71.1 67.6 74.6 56.6 54.2 59
1987 70.7 67.3 74.2 56.4 54.1 58.8
1986 70.3 66.9 73.8 56.1 53.8 58.5
1985 69.9 66.5 73.4 55.8 53.6 58.2
1984 69.4 66.1 72.8 55.6 53.4 57.9
1983 69.3 66 72.7 55.3 53.1 57.6
1982 69 65.6 72.6 55 52.9 57.3
1981 68.9 65.5 72.4 54.7 52.6 56.9
1980 68.6 65.3 72 54.4 52.3 56.6
1979 68.4 65.1 72 54 52 56.2
1978 68 64.5 71.7 53.5 51.4 55.8
1977 67.6 63.9 71.6 53.3 51.2 55.4
1976 67 63.4 71 52.9 50.9 55
1975 67 63.4 70.9 52.5 50.5 54.6
1974 66.4 62.8 70.4 52.1 50.1 54.2
1973 66.2 62.7 70.1 51.8 49.8 53.8
1972 66 62.5 69.8 51.4 49.5 53.4
1971 65.6 62.2 69.4 51 49.1 53
1970 65.6 62.2 69.6 50.5 48.5 52.5
1969 65.1 61.6 69.1 50 48.1 52
1968 65.2 61.8 69.2 49.4 47.5 51.3
1967 65.5 62.1 69.3 48.9 47.1 50.8
1966 65.4 62.2 69.1 48.2 46.4 50
1965 65.1 61.8 68.8 47.4 45.7 49.2
1964 64.8 61.6 68.5 46.7 44.9 48.5
1963 64.9 61.6 68.6 46 44.3 47.7
1962 64.6 61.5 68.3 45.3 43.5 47.1
1961 64.6 61.5 68.2 44.6 42.9 46.3
1960 64.2 61.2 67.8 44.1 42.4 45.8
1959 64.1 61.2 67.4 43.4 41.7 45.2
1958 64.2 61.4 67.4 42.8 41.1 44.5
1957 63.2 60.5 66.5 42 40.3 43.8
1956 63.6 60.8 66.9 41.2 39.6 42.8
1955 62.7 59.9 66.1 40.4 38.9 42.1
1954 63.1 60.4 66.2 39.6 38 41.2
1953 62.5 59.7 65.8 38.6 37 40.2
1952 62.5 60 65.4 37.7 36.2 39.3
1951 61.7 59.2 64.7 36.5 35 38.1
1950 61.3 58.7 64.3 35.7 34.1 37.4

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

GeoRank.org/life-expectancy/argentina/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 64.8 years in Argentina and 59.8 in Myanmar. People who reach age 60 can expect an additional 15 healthy years in Argentina and 13 in Myanmar.

Argentina 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 Argentina 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:
49.4 vs 42.1 years

Mean expected age of death:
79.4 vs 72.1 years

Median expected age of death:
81.7 vs 74.4 years

Odds of living to

Target age Survival probability
Argentina Myanmar
Male Female Male Female
40 98.6% 99.1% 96.5% 98.1%
50 95.9% 97.2% 90.3% 94.5%
60 89.2% 92.9% 78.0% 86.9%
65 82.9% 88.9% 68.2% 80.2%
70 73.9% 83.2% 55.6% 70.1%
75 62.1% 75.1% 40.4% 55.8%
80 47.1% 63.5% 24.4% 37.9%
85 29.8% 46.8% 11.0% 19.6%
90 14.9% 27.5% 3.2% 6.8%
95 5.2% 11.3% 0.5% 1.2%
100 1.1% 2.8% 0.0% 0.1%

Life expectancy by current age

Argentina
Male

Female
Myanmar
Male

Female
1x
Current age, years Total life expectancy, years
Argentina Myanmar
Average Male Female Average Male Female
100 102.6 102.3 102.7 101.7 101.6 101.7
99 101.7 101.4 101.8 100.7 100.6 100.7
98 100.8 100.6 100.9 99.8 99.7 99.8
97 100 99.8 100.1 98.9 98.8 98.9
96 99.2 99 99.3 98 97.9 98
95 98.4 98.2 98.5 97.1 97 97.2
94 97.6 97.3 97.7 96.2 96.1 96.3
93 96.9 96.6 97 95.4 95.2 95.4
92 96.1 95.8 96.3 94.5 94.3 94.6
91 95.4 95 95.6 93.7 93.5 93.8
90 94.7 94.3 94.9 92.9 92.6 93
89 94 93.6 94.2 92.1 91.8 92.2
88 93.4 92.9 93.6 91.3 91 91.4
87 92.7 92.2 93 90.5 90.3 90.7
86 92.1 91.5 92.4 89.8 89.5 90
85 91.5 90.8 91.8 89.1 88.8 89.3
84 90.9 90.2 91.3 88.4 88 88.6
83 90.3 89.5 90.8 87.7 87.3 87.9
82 89.8 88.9 90.3 87 86.6 87.2
81 89.3 88.3 89.8 86.3 85.9 86.6
80 88.8 87.8 89.4 85.7 85.3 86
79 88.3 87.2 89 85.1 84.6 85.4
78 87.9 86.7 88.6 84.5 84 84.8
77 87.4 86.2 88.3 83.9 83.4 84.3
76 87 85.8 87.9 83.3 82.8 83.8
75 86.6 85.3 87.6 82.8 82.2 83.3
74 86.3 84.9 87.3 82.3 81.6 82.8
73 85.9 84.5 87 81.8 81.1 82.3
72 85.5 84.1 86.7 81.3 80.5 81.9
71 85.2 83.7 86.4 80.9 80 81.5
70 84.9 83.3 86.1 80.4 79.5 81.1
69 84.6 82.9 85.9 80 79.1 80.7
68 84.2 82.6 85.6 79.6 78.6 80.4
67 83.9 82.2 85.4 79.2 78.2 80
66 83.7 81.9 85.2 78.8 77.7 79.7
65 83.4 81.6 84.9 78.5 77.3 79.4
64 83.1 81.3 84.7 78.1 76.9 79.1
63 82.9 81 84.5 77.8 76.6 78.9
62 82.7 80.7 84.3 77.5 76.2 78.6
61 82.4 80.5 84.2 77.2 75.8 78.4
60 82.2 80.3 84 76.9 75.5 78.1
59 82 80 83.8 76.6 75.2 77.9
58 81.8 79.8 83.7 76.3 74.8 77.7
57 81.7 79.6 83.5 76.1 74.5 77.5
56 81.5 79.4 83.4 75.8 74.3 77.3
55 81.3 79.3 83.3 75.6 74 77.1
54 81.2 79.1 83.1 75.4 73.7 76.9
53 81.1 78.9 83 75.2 73.5 76.8
52 80.9 78.8 82.9 75 73.2 76.6
51 80.8 78.7 82.8 74.8 73 76.5
50 80.7 78.5 82.7 74.6 72.8 76.3
49 80.6 78.4 82.6 74.4 72.6 76.2
48 80.5 78.3 82.5 74.2 72.4 76
47 80.4 78.2 82.5 74.1 72.2 75.9
46 80.3 78.1 82.4 73.9 72 75.8
45 80.2 78 82.3 73.8 71.8 75.7
44 80.2 77.9 82.2 73.6 71.6 75.6
43 80.1 77.9 82.2 73.5 71.5 75.5
42 80 77.8 82.1 73.4 71.3 75.4
41 80 77.7 82.1 73.2 71.2 75.3
40 79.9 77.6 82 73.1 71 75.2
39 79.8 77.6 82 73 70.9 75.1
38 79.8 77.5 81.9 72.9 70.8 75
37 79.7 77.5 81.9 72.8 70.6 74.9
36 79.7 77.4 81.8 72.7 70.5 74.9
35 79.6 77.3 81.8 72.6 70.4 74.8
34 79.6 77.3 81.7 72.5 70.2 74.7
33 79.5 77.2 81.7 72.4 70.1 74.6
32 79.5 77.2 81.7 72.3 70 74.6
31 79.4 77.1 81.6 72.2 69.9 74.5
30 79.4 77 81.6 72.1 69.8 74.4
29 79.3 77 81.6 72 69.7 74.4
28 79.3 76.9 81.5 71.9 69.5 74.3
27 79.2 76.9 81.5 71.8 69.4 74.2
26 79.2 76.8 81.5 71.7 69.3 74.2
25 79.1 76.7 81.4 71.6 69.2 74.1
24 79.1 76.7 81.4 71.5 69.1 74
23 79.1 76.6 81.4 71.4 68.9 74
22 79 76.6 81.4 71.3 68.8 73.9
21 79 76.5 81.3 71.2 68.7 73.9
20 78.9 76.4 81.3 71.2 68.6 73.8
19 78.9 76.3 81.3 71.1 68.5 73.7
18 78.8 76.3 81.2 71 68.4 73.7
17 78.8 76.2 81.2 70.9 68.3 73.6
16 78.7 76.2 81.2 70.9 68.2 73.6
15 78.7 76.2 81.2 70.8 68.1 73.6
14 78.7 76.2 81.2 70.7 68 73.5
13 78.7 76.1 81.1 70.7 68 73.5
12 78.7 76.1 81.1 70.7 67.9 73.5
11 78.7 76.1 81.1 70.6 67.9 73.4
10 78.6 76.1 81.1 70.6 67.8 73.4
9 78.6 76.1 81.1 70.5 67.7 73.4
8 78.6 76.1 81.1 70.5 67.7 73.3
7 78.6 76.1 81.1 70.4 67.6 73.3
6 78.6 76.1 81.1 70.3 67.5 73.3
5 78.6 76 81.1 70.2 67.4 73.2
4 78.6 76 81 70.1 67.3 73.1
3 78.6 76 81 70 67.1 73
2 78.5 76 81 69.9 67 72.9
1 78.5 76 81 69.7 66.8 72.7
0 77.8 75.3 80.3 67.5 64.4 70.8

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

GeoRank.org/life-expectancy/argentina/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 Argentina can expect to live to 79.4 years compared to 72.1 in Myanmar, rising to 83.4 and 78.5 at 65, and to 88.8 and 85.7 at 80 — higher than the 77.8 and 67.5 years calculated at birth.

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

Probability of surviving to a given age

Argentina
Male

Female
Myanmar
Male

Female
1x
Age Survival probability
Argentina Myanmar
Average Male Female Average Male Female
100 1.96% 1.06% 2.73% 0.06% 0.03% 0.1%
99 2.74% 1.52% 3.8% 0.11% 0.05% 0.18%
98 3.74% 2.11% 5.15% 0.19% 0.09% 0.3%
97 4.98% 2.88% 6.8% 0.32% 0.15% 0.49%
96 6.48% 3.84% 8.79% 0.51% 0.25% 0.77%
95 8.24% 5.01% 11.1% 0.79% 0.41% 1.18%
94 10.3% 6.42% 13.7% 1.19% 0.64% 1.76%
93 12.6% 8.07% 16.6% 1.74% 0.98% 2.54%
92 15.1% 9.97% 19.8% 2.49% 1.45% 3.57%
91 18% 12.1% 23.3% 3.44% 2.07% 4.87%
90 21% 14.5% 26.9% 4.63% 2.88% 6.46%
89 24.2% 17% 30.7% 6.06% 3.88% 8.34%
88 27.5% 19.8% 34.6% 7.74% 5.09% 10.5%
87 30.8% 22.7% 38.4% 9.65% 6.52% 12.9%
86 34.3% 25.8% 42.2% 11.8% 8.16% 15.6%
85 37.7% 29% 45.9% 14.2% 10% 18.5%
84 41.2% 32.3% 49.5% 16.8% 12.1% 21.7%
83 44.6% 35.7% 53% 19.6% 14.4% 25.1%
82 47.9% 39.2% 56.3% 22.6% 16.8% 28.6%
81 51.1% 42.5% 59.4% 25.7% 19.4% 32.2%
80 54.2% 45.8% 62.3% 28.9% 22.2% 35.8%
79 57.1% 49% 65% 32.1% 25% 39.4%
78 59.8% 52.1% 67.4% 35.3% 27.9% 42.9%
77 62.4% 55% 69.7% 38.4% 30.9% 46.3%
76 64.8% 57.7% 71.8% 41.5% 33.8% 49.6%
75 67.1% 60.4% 73.7% 44.6% 36.7% 52.8%
74 69.2% 62.9% 75.5% 47.5% 39.6% 55.8%
73 71.3% 65.3% 77.2% 50.4% 42.5% 58.7%
72 73.2% 67.5% 78.8% 53.1% 45.3% 61.4%
71 75% 69.7% 80.3% 55.7% 48% 63.9%
70 76.7% 71.8% 81.6% 58.2% 50.6% 66.3%
69 78.3% 73.8% 82.9% 60.6% 53.1% 68.5%
68 79.9% 75.7% 84.1% 62.8% 55.5% 70.5%
67 81.3% 77.4% 85.2% 64.9% 57.8% 72.4%
66 82.6% 79.1% 86.3% 66.9% 60% 74.2%
65 83.9% 80.6% 87.2% 68.7% 62% 75.8%
64 85.1% 82% 88.1% 70.5% 64% 77.3%
63 86.1% 83.4% 89% 72.1% 65.9% 78.6%
62 87.1% 84.6% 89.8% 73.6% 67.7% 79.9%
61 88.1% 85.7% 90.5% 75% 69.4% 81.1%
60 88.9% 86.7% 91.1% 76.4% 71% 82.1%
59 89.7% 87.7% 91.8% 77.6% 72.4% 83.1%
58 90.4% 88.5% 92.3% 78.8% 73.8% 84%
57 91.1% 89.3% 92.8% 79.9% 75.1% 84.9%
56 91.7% 90.1% 93.3% 80.9% 76.3% 85.7%
55 92.2% 90.7% 93.7% 81.8% 77.5% 86.4%
54 92.7% 91.3% 94.1% 82.7% 78.5% 87.1%
53 93.1% 91.9% 94.5% 83.5% 79.5% 87.7%
52 93.6% 92.4% 94.8% 84.2% 80.4% 88.3%
51 93.9% 92.8% 95.1% 84.9% 81.3% 88.8%
50 94.3% 93.2% 95.4% 85.6% 82.1% 89.3%
49 94.6% 93.6% 95.7% 86.2% 82.9% 89.8%
48 94.9% 93.9% 95.9% 86.8% 83.5% 90.2%
47 95.2% 94.3% 96.2% 87.3% 84.2% 90.6%
46 95.4% 94.6% 96.4% 87.8% 84.8% 91%
45 95.7% 94.8% 96.5% 88.2% 85.4% 91.3%
44 95.9% 95% 96.7% 88.7% 85.9% 91.6%
43 96.1% 95.3% 96.9% 89.1% 86.4% 91.9%
42 96.2% 95.5% 97% 89.5% 86.9% 92.2%
41 96.4% 95.7% 97.2% 89.8% 87.3% 92.5%
40 96.5% 95.8% 97.3% 90.1% 87.7% 92.7%
39 96.7% 96% 97.4% 90.5% 88.1% 92.9%
38 96.8% 96.2% 97.5% 90.7% 88.5% 93.1%
37 96.9% 96.3% 97.6% 91% 88.9% 93.4%
36 97.1% 96.5% 97.7% 91.3% 89.2% 93.5%
35 97.2% 96.6% 97.8% 91.6% 89.5% 93.7%
34 97.3% 96.7% 97.9% 91.8% 89.8% 93.9%
33 97.4% 96.9% 98% 92% 90.1% 94.1%
32 97.5% 97% 98% 92.3% 90.4% 94.2%
31 97.6% 97.1% 98.1% 92.5% 90.7% 94.4%
30 97.7% 97.2% 98.2% 92.7% 90.9% 94.5%
29 97.8% 97.3% 98.2% 92.9% 91.2% 94.7%
28 97.9% 97.5% 98.3% 93.1% 91.4% 94.8%
27 97.9% 97.6% 98.3% 93.3% 91.7% 94.9%
26 98% 97.7% 98.4% 93.5% 92% 95.1%
25 98.1% 97.8% 98.4% 93.6% 92.2% 95.2%
24 98.2% 97.9% 98.5% 93.8% 92.5% 95.3%
23 98.3% 98% 98.5% 94% 92.7% 95.4%
22 98.4% 98.2% 98.6% 94.2% 93% 95.5%
21 98.5% 98.3% 98.6% 94.4% 93.2% 95.6%
20 98.5% 98.4% 98.7% 94.6% 93.4% 95.7%
19 98.6% 98.5% 98.7% 94.7% 93.6% 95.8%
18 98.7% 98.6% 98.8% 94.8% 93.8% 95.9%
17 98.8% 98.7% 98.8% 95% 94% 96%
16 98.8% 98.8% 98.8% 95.1% 94.2% 96.1%
15 98.8% 98.8% 98.9% 95.2% 94.3% 96.1%
14 98.9% 98.9% 98.9% 95.3% 94.4% 96.2%
13 98.9% 98.9% 98.9% 95.4% 94.5% 96.2%
12 98.9% 98.9% 98.9% 95.4% 94.6% 96.3%
11 98.9% 98.9% 99% 95.5% 94.7% 96.3%
10 98.9% 98.9% 99% 95.6% 94.8% 96.4%
9 99% 98.9% 99% 95.7% 94.9% 96.4%
8 99% 99% 99% 95.7% 95% 96.5%
7 99% 99% 99% 95.8% 95.2% 96.5%
6 99% 99% 99% 95.9% 95.3% 96.6%
5 99% 99% 99% 96.1% 95.5% 96.7%
4 99% 99% 99.1% 96.2% 95.7% 96.8%
3 99.1% 99.1% 99.1% 96.4% 95.9% 96.9%
2 99.1% 99.1% 99.1% 96.6% 96.1% 97.1%
1 99.1% 99.1% 99.2% 96.8% 96.3% 97.4%

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

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

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 76.4% in Myanmar are expected to live past 60, 76.7% and 58.2% past 70, 54.2% and 28.9% past 80, and only 21% 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

Argentina
Male

Female
Myanmar
Male

Female
1x
Age Probability of dying
Argentina Myanmar
Average Male Female Average Male Female
100 30.3% 31.7% 30% 45% 47.5% 44.5%
99 28.6% 30% 28.2% 43.2% 45.6% 42.5%
98 26.7% 28.3% 26.2% 41.2% 43.7% 40.5%
97 24.9% 26.6% 24.4% 39.3% 41.8% 38.5%
96 23.1% 25% 22.6% 37.4% 40% 36.5%
95 21.4% 23.4% 20.7% 35.6% 38.1% 34.7%
94 19.8% 21.9% 19% 33.7% 36.3% 32.8%
93 18.3% 20.5% 17.5% 31.9% 34.3% 30.9%
92 17% 19% 16.2% 29.9% 32.3% 28.9%
91 15.7% 17.6% 15% 27.8% 30.2% 26.8%
90 14.4% 16.3% 13.6% 25.7% 28% 24.6%
89 13.2% 15.1% 12.3% 23.6% 25.8% 22.5%
88 12% 13.9% 11.1% 21.6% 23.8% 20.5%
87 10.9% 12.9% 9.97% 19.8% 21.9% 18.8%
86 10% 12% 8.98% 18.2% 20.1% 17.2%
85 9.16% 11.1% 8.1% 16.8% 18.6% 15.8%
84 8.39% 10.3% 7.3% 15.5% 17.1% 14.6%
83 7.66% 9.51% 6.56% 14.3% 15.8% 13.4%
82 6.96% 8.73% 5.87% 13.2% 14.6% 12.3%
81 6.29% 7.95% 5.23% 12.1% 13.5% 11.2%
80 5.66% 7.2% 4.64% 11% 12.4% 10.1%
79 5.08% 6.49% 4.11% 10% 11.3% 9.11%
78 4.56% 5.85% 3.65% 9.07% 10.4% 8.19%
77 4.11% 5.28% 3.26% 8.23% 9.52% 7.36%
76 3.72% 4.78% 2.92% 7.48% 8.72% 6.63%
75 3.38% 4.36% 2.64% 6.81% 7.98% 5.99%
74 3.1% 3.99% 2.4% 6.21% 7.31% 5.41%
73 2.85% 3.67% 2.19% 5.66% 6.7% 4.89%
72 2.63% 3.39% 2% 5.16% 6.13% 4.42%
71 2.43% 3.13% 1.83% 4.69% 5.62% 3.98%
70 2.24% 2.9% 1.68% 4.27% 5.15% 3.58%
69 2.07% 2.68% 1.54% 3.88% 4.72% 3.22%
68 1.91% 2.47% 1.42% 3.54% 4.33% 2.89%
67 1.76% 2.28% 1.3% 3.23% 3.98% 2.6%
66 1.62% 2.08% 1.2% 2.95% 3.66% 2.35%
65 1.49% 1.9% 1.11% 2.7% 3.37% 2.12%
64 1.37% 1.74% 1.03% 2.47% 3.1% 1.92%
63 1.25% 1.58% 0.95% 2.26% 2.86% 1.74%
62 1.15% 1.44% 0.87% 2.07% 2.63% 1.58%
61 1.05% 1.31% 0.8% 1.9% 2.42% 1.44%
60 0.96% 1.19% 0.73% 1.74% 2.22% 1.31%
59 0.87% 1.08% 0.67% 1.6% 2.04% 1.19%
58 0.79% 0.98% 0.61% 1.47% 1.88% 1.08%
57 0.72% 0.89% 0.55% 1.35% 1.73% 0.99%
56 0.65% 0.8% 0.5% 1.24% 1.59% 0.91%
55 0.59% 0.73% 0.46% 1.14% 1.47% 0.84%
54 0.54% 0.66% 0.42% 1.06% 1.35% 0.77%
53 0.49% 0.59% 0.38% 0.97% 1.25% 0.71%
52 0.44% 0.54% 0.35% 0.9% 1.15% 0.66%
51 0.41% 0.49% 0.32% 0.83% 1.06% 0.61%
50 0.37% 0.45% 0.3% 0.77% 0.98% 0.56%
49 0.34% 0.41% 0.28% 0.71% 0.9% 0.52%
48 0.31% 0.37% 0.25% 0.65% 0.83% 0.48%
47 0.28% 0.33% 0.23% 0.6% 0.77% 0.44%
46 0.26% 0.3% 0.21% 0.56% 0.72% 0.41%
45 0.23% 0.27% 0.19% 0.52% 0.67% 0.37%
44 0.21% 0.25% 0.18% 0.48% 0.62% 0.35%
43 0.2% 0.23% 0.16% 0.45% 0.58% 0.32%
42 0.18% 0.21% 0.15% 0.42% 0.54% 0.3%
41 0.17% 0.2% 0.14% 0.39% 0.51% 0.28%
40 0.16% 0.18% 0.13% 0.37% 0.47% 0.26%
39 0.15% 0.18% 0.12% 0.35% 0.45% 0.25%
38 0.14% 0.17% 0.11% 0.33% 0.42% 0.23%
37 0.13% 0.16% 0.11% 0.31% 0.4% 0.22%
36 0.12% 0.15% 0.1% 0.29% 0.38% 0.21%
35 0.12% 0.14% 0.09% 0.28% 0.36% 0.2%
34 0.11% 0.14% 0.08% 0.26% 0.34% 0.19%
33 0.11% 0.13% 0.08% 0.25% 0.33% 0.18%
32 0.1% 0.13% 0.07% 0.24% 0.31% 0.17%
31 0.1% 0.12% 0.07% 0.23% 0.3% 0.16%
30 0.09% 0.12% 0.06% 0.22% 0.29% 0.16%
29 0.09% 0.12% 0.06% 0.22% 0.28% 0.15%
28 0.09% 0.12% 0.06% 0.21% 0.28% 0.14%
27 0.09% 0.12% 0.06% 0.21% 0.28% 0.14%
26 0.09% 0.12% 0.05% 0.21% 0.27% 0.13%
25 0.09% 0.12% 0.05% 0.2% 0.27% 0.13%
24 0.09% 0.12% 0.05% 0.2% 0.27% 0.13%
23 0.09% 0.12% 0.05% 0.2% 0.27% 0.12%
22 0.09% 0.12% 0.05% 0.19% 0.27% 0.12%
21 0.09% 0.13% 0.05% 0.19% 0.26% 0.11%
20 0.09% 0.12% 0.05% 0.18% 0.24% 0.11%
19 0.08% 0.12% 0.05% 0.16% 0.23% 0.1%
18 0.07% 0.1% 0.04% 0.15% 0.2% 0.09%
17 0.06% 0.08% 0.04% 0.13% 0.18% 0.08%
16 0.05% 0.06% 0.04% 0.12% 0.16% 0.07%
15 0.04% 0.05% 0.03% 0.1% 0.14% 0.07%
14 0.03% 0.03% 0.03% 0.09% 0.13% 0.06%
13 0.02% 0.02% 0.02% 0.08% 0.11% 0.05%
12 0.02% 0.02% 0.02% 0.08% 0.11% 0.05%
11 0.02% 0.02% 0.02% 0.08% 0.11% 0.05%
10 0.01% 0.01% 0.01% 0.08% 0.11% 0.05%
9 0.01% 0.01% 0.01% 0.08% 0.11% 0.05%
8 0.01% 0.01% 0.01% 0.09% 0.12% 0.05%
7 0.01% 0.02% 0.01% 0.1% 0.13% 0.06%
6 0.02% 0.02% 0.02% 0.11% 0.15% 0.07%
5 0.02% 0.02% 0.02% 0.13% 0.17% 0.09%
4 0.02% 0.02% 0.02% 0.15% 0.19% 0.11%
3 0.03% 0.03% 0.03% 0.18% 0.21% 0.14%
2 0.03% 0.03% 0.04% 0.21% 0.23% 0.19%
1 0.04% 0.04% 0.05% 0.26% 0.26% 0.25%
0 0.85% 0.88% 0.83% 3.16% 3.67% 2.63%

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

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

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

The annual chance of dying is 0.85% in the birth year in Argentina and 3.16% in Myanmar, 0.09% vs 0.22% at age 30, 0.96% vs 1.74% at 60, and 5.66% vs 11% at 80.

Death rate by age in Argentina vs Myanmar

Argentina
Male

Female
Myanmar
Male

Female
1x
Age Death rate
Argentina Myanmar
Total Male Female Total Male Female
100 520 252.3 745 0 0 0
99 784 455 1,070 48.9 22.8 76.2
98 998 599 1,350 79.4 38.8 121.9
97 1,238 767 1,658 124.6 63.8 188.2
96 1,497 959 1,982 189.6 101.6 281.7
95 1,759 1,172 2,297 279.8 156.5 409
94 2,028 1,408 2,604 401 233.5 575
93 2,300 1,654 2,907 555 336 784
92 2,573 1,898 3,211 743 467 1,030
91 2,825 2,133 3,482 957 625 1,303
90 3,023 2,357 3,661 1,190 806 1,590
89 3,178 2,564 3,776 1,431 1,003 1,877
88 3,294 2,752 3,833 1,674 1,211 2,156
87 3,373 2,926 3,829 1,916 1,426 2,426
86 3,425 3,083 3,789 2,155 1,643 2,688
85 3,453 3,220 3,720 2,389 1,860 2,938
84 3,451 3,329 3,616 2,610 2,073 3,169
83 3,414 3,399 3,478 2,810 2,274 3,366
82 3,336 3,417 3,307 2,976 2,458 3,514
81 3,218 3,382 3,106 3,100 2,616 3,601
80 3,068 3,299 2,889 3,176 2,744 3,623
79 2,902 3,182 2,670 3,207 2,839 3,589
78 2,731 3,045 2,461 3,198 2,903 3,513
77 2,565 2,902 2,269 3,162 2,938 3,410
76 2,411 2,761 2,097 3,109 2,947 3,290
75 2,270 2,629 1,945 3,037 2,933 3,160
74 2,145 2,508 1,810 2,952 2,898 3,020
73 2,030 2,396 1,688 2,852 2,846 2,870
72 1,922 2,289 1,575 2,740 2,777 2,711
71 1,819 2,185 1,469 2,617 2,695 2,545
70 1,720 2,082 1,369 2,486 2,602 2,374
69 1,623 1,979 1,277 2,353 2,503 2,205
68 1,528 1,872 1,191 2,221 2,401 2,041
67 1,434 1,762 1,111 2,093 2,297 1,887
66 1,342 1,649 1,037 1,971 2,193 1,743
65 1,251 1,535 968 1,854 2,090 1,610
64 1,164 1,424 904 1,741 1,986 1,486
63 1,080 1,317 842 1,632 1,883 1,371
62 999 1,216 782 1,527 1,780 1,264
61 922 1,121 723 1,427 1,678 1,164
60 850 1,032 667 1,331 1,578 1,072
59 781 948 613 1,240 1,480 987
58 716 869 562 1,154 1,386 911
57 654 794 515 1,076 1,297 842
56 597 723 470 1,003 1,214 780
55 544 658 430 936 1,135 724
54 497 598 394 872 1,061 673
53 454 545 362 813 990 625
52 416 497 334 757 924 581
51 382 454 308 705 861 540
50 351 415 285.3 656 802 501
49 323 379 263.7 610 747 464
48 295.6 346 243.3 567 696 430
47 270.1 315 223.7 528 650 398
46 246.2 285.9 205.1 492 608 368
45 224.3 259.7 187.8 459 569 342
44 204.9 236.5 172.1 429 533 317
43 188.1 216.9 158.3 401 501 295.4
42 174.1 200.8 146.5 376 470 275.8
41 162.5 187.7 136.2 353 442 258.5
40 152.7 177.1 127.2 332 416 242.9
39 144 168 118.9 313 393 228.9
38 136.1 160 111.1 296.2 371 216.1
37 128.5 152.6 103.3 280.8 352 204.4
36 121.2 145.5 95.8 266.9 336 193.6
35 114.4 139 88.6 254.3 321 183.7
34 108.1 133 82 243 307 174.8
33 102.6 128 76.1 232.8 294.9 166.6
32 98.2 124.1 71.1 223.5 283.8 159.3
31 94.7 121.2 66.9 215.2 273.9 152.7
30 92 119.3 63.5 207.9 265.5 146.7
29 89.8 117.9 60.4 202.1 259.1 141.4
28 88 117 57.6 197.6 254.9 136.5
27 86.4 116.3 55.1 194.3 252.8 132
26 85.1 116 52.7 192 252.4 127.6
25 84.2 116.3 50.6 190.4 253.2 123.3
24 83.9 117.2 49 188.8 254 119.3
23 84.5 119.4 47.9 186.4 253.1 115.3
22 85.6 122 47.4 182.4 249.3 111.1
21 86.6 123.9 47.2 176.1 241.2 106.5
20 85.9 122.9 46.9 166.9 228.5 101.2
19 82 116.1 45.9 155.2 211.6 94.9
18 73.8 102.2 43.6 141.5 191.9 87.7
17 62.3 83.4 40 126.9 171.1 79.7
16 49.6 63.1 35.2 112.5 151 71.4
15 38.2 45.8 30.1 99.4 133.1 63.5
14 29.1 32.7 25.1 88.7 118.8 56.6
13 22.6 24.1 21 80.8 108.5 51.1
12 18.2 18.8 17.7 75.8 102.5 47.2
11 15.5 15.7 15.3 73.9 100.8 45.1
10 14 14.1 13.8 74.7 102.7 44.8
9 13.4 13.8 13 78.4 108.2 46.5
8 13.6 14.2 13.1 84.8 116.9 50.5
7 14.6 15.3 13.8 94.1 128.4 57.4
6 16.4 17.2 15.5 106.6 142.5 68.2
5 19 19.7 18.3 122.9 158.9 84.2
4 22.7 22.9 22.5 143.8 177.8 107.5
3 27.6 26.9 28.4 170.7 199.2 140.2
2 34.2 31.8 36.6 205.2 223.4 185.7
1 42.6 37.8 47.7 249.9 251.4 248.2
0 851 876 826 3,164 3,669 2,626

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

GeoRank.org/life-expectancy/argentina/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 Argentina, the most common age of death is 85, compared to 79 in Myanmar. The median age of death is 81.4 in Argentina 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 Argentina 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/argentina/myanmar | CC BY

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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)

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