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Life Expectancy in Argentina vs Thailand (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 77.8 years in Argentina vs 77.1 in Thailand. Argentina is ranked 66/197 by life expectancy, and Thailand is 75/197. In Argentina, the life expectancy is 75.3 years for males and 80.3 years for females. In Thailand, it's 72.9 years for males and 81.4 years for females.

Argentina vs Thailand life expectancy at birth by year

Argentina
Male

Female
Thailand
Male

Female
1x
Year Life expectancy, years
Argentina Thailand
Average Male Female Average Male Female
2026 77.8 75.3 80.3 77.1 72.9 81.4
2025 77.7 75.1 80.2 76.8 72.6 81.2
2024 77.5 75 80 76.6 72.3 81
2023 77.4 74.8 79.9 76.4 72.2 80.9
2022 75.8 73.2 78.3 75.3 71 79.8
2021 73.9 71.1 76.9 77.6 73.3 82.1
2020 75.9 73 78.8 77.3 73 81.9
2019 76.8 74.2 79.4 77.2 72.8 81.8
2018 76.8 74 79.5 77.2 73 81.6
2017 76.5 73.8 79.2 77 72.8 81.4
2016 76.1 73 79.1 76.8 72.6 81.1
2015 76.6 73.4 79.8 76.6 72.5 80.9
2014 76.3 73.3 79.2 76.3 72.3 80.5
2013 75.8 73 78.6 76 72 80.1
2012 75.8 72.9 78.7 75.6 71.7 79.7
2011 76.1 72.7 79.4 75.3 71.5 79.2
2010 75.7 72.5 78.7 75 71.4 78.7
2009 75.6 72.4 78.6 74.7 71.3 78.2
2008 75.4 72.2 78.6 74.2 70.9 77.7
2007 74.8 71.6 77.9 73.8 70.4 77.3
2006 75.3 72 78.4 73.3 69.9 77
2005 75.2 71.8 78.6 72.9 69.3 76.6
2004 74.9 71.5 78.2 72.1 68.5 75.8
2003 74.3 70.8 77.8 72.1 68.4 76
2002 74.3 70.7 77.9 71.8 68 75.7
2001 74.2 70.6 77.6 71.5 67.7 75.6
2000 73.9 70.5 77.3 71.2 67.4 75.2
1999 73.7 70.3 77.1 71 67.2 75
1998 73.4 69.9 76.9 70.7 66.9 74.7
1997 73.4 70 76.8 70.4 66.5 74.5
1996 73.1 69.7 76.4 69.9 65.9 74.3
1995 72.9 69.5 76.2 69.8 65.9 73.9
1994 72.7 69.5 75.9 69.7 66 73.6
1993 72.3 68.9 75.7 69.6 66.1 73.3
1992 72.1 68.7 75.5 69.4 65.9 73
1991 72 68.7 75.3 69.1 65.7 72.7
1990 71.6 68.3 74.9 68.9 65.6 72.4
1989 71.5 68 75 68.6 65.3 71.9
1988 71.1 67.6 74.6 68.2 65.1 71.5
1987 70.7 67.3 74.2 67.8 64.8 71
1986 70.3 66.9 73.8 67.3 64.3 70.5
1985 69.9 66.5 73.4 66.5 63.5 69.8
1984 69.4 66.1 72.8 65.5 62.4 68.9
1983 69.3 66 72.7 64.5 61.3 68
1982 69 65.6 72.6 63.6 60.2 67.2
1981 68.9 65.5 72.4 62.9 59.4 66.6
1980 68.6 65.3 72 62.2 58.8 65.9
1979 68.4 65.1 72 61.7 58.4 65.3
1978 68 64.5 71.7 61.3 58.1 64.7
1977 67.6 63.9 71.6 60.9 57.9 64.2
1976 67 63.4 71 60.4 57.4 63.5
1975 67 63.4 70.9 59.7 56.9 62.7
1974 66.4 62.8 70.4 59 56.3 61.9
1973 66.2 62.7 70.1 58.3 55.7 61.1
1972 66 62.5 69.8 57.7 55.2 60.5
1971 65.6 62.2 69.4 57.1 54.6 59.8
1970 65.6 62.2 69.6 56.5 54 59.1
1969 65.1 61.6 69.1 55.7 53.3 58.3
1968 65.2 61.8 69.2 55 52.6 57.5
1967 65.5 62.1 69.3 54.3 52.1 56.7
1966 65.4 62.2 69.1 53.7 51.6 56.1
1965 65.1 61.8 68.8 53.1 51.1 55.4
1964 64.8 61.6 68.5 52.5 50.6 54.7
1963 64.9 61.6 68.6 52 50.1 54
1962 64.6 61.5 68.3 51.4 49.6 53.5
1961 64.6 61.5 68.2 51.1 49.3 53
1960 64.2 61.2 67.8 50.6 49 52.3
1959 64.1 61.2 67.4 50.1 48.7 51.6
1958 64.2 61.4 67.4 49.5 48.2 50.9
1957 63.2 60.5 66.5 49.1 47.8 50.5
1956 63.6 60.8 66.9 48.6 47.4 49.9
1955 62.7 59.9 66.1 48.1 46.9 49.4
1954 63.1 60.4 66.2 47.6 46.5 48.8
1953 62.5 59.7 65.8 47.1 46 48.2
1952 62.5 60 65.4 46.5 45.5 47.6
1951 61.7 59.2 64.7 45.9 44.9 46.9
1950 61.3 58.7 64.3 45.2 44.3 46.1

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

GeoRank.org/life-expectancy/argentina/thailand | 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 65.8 in Thailand. People who reach age 60 can expect an additional 15 healthy years in Argentina and 17.1 in Thailand.

Argentina vs Thailand 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 Thailand, 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 49.1 years

Mean expected age of death:
79.4 vs 79.1 years

Median expected age of death:
81.7 vs 82.4 years

Odds of living to

Target age Survival probability
Argentina Thailand
Male Female Male Female
40 98.6% 99.1% 96.7% 98.8%
50 95.9% 97.2% 90.6% 96.4%
60 89.2% 92.9% 82.0% 92.2%
65 82.9% 88.9% 76.2% 89.1%
70 73.9% 83.2% 68.7% 84.8%
75 62.1% 75.1% 58.7% 78.1%
80 47.1% 63.5% 46.2% 67.5%
85 29.8% 46.8% 31.9% 52.2%
90 14.9% 27.5% 18.1% 33.3%
95 5.2% 11.3% 7.7% 16.0%
100 1.1% 2.8% 2.1% 4.9%

Life expectancy by current age

Argentina
Male

Female
Thailand
Male

Female
1x
Current age, years Total life expectancy, years
Argentina Thailand
Average Male Female Average Male Female
100 102.6 102.3 102.7 102.9 102.7 103.1
99 101.7 101.4 101.8 102.1 101.8 102.2
98 100.8 100.6 100.9 101.2 101 101.4
97 100 99.8 100.1 100.4 100.2 100.5
96 99.2 99 99.3 99.7 99.5 99.8
95 98.4 98.2 98.5 98.9 98.7 99
94 97.6 97.3 97.7 98.2 97.9 98.3
93 96.9 96.6 97 97.4 97.2 97.6
92 96.1 95.8 96.3 96.7 96.5 96.9
91 95.4 95 95.6 96.1 95.7 96.2
90 94.7 94.3 94.9 95.4 95 95.6
89 94 93.6 94.2 94.7 94.3 95
88 93.4 92.9 93.6 94.1 93.7 94.3
87 92.7 92.2 93 93.5 93 93.8
86 92.1 91.5 92.4 92.9 92.4 93.2
85 91.5 90.8 91.8 92.3 91.8 92.7
84 90.9 90.2 91.3 91.8 91.1 92.2
83 90.3 89.5 90.8 91.2 90.6 91.7
82 89.8 88.9 90.3 90.7 90 91.2
81 89.3 88.3 89.8 90.2 89.4 90.8
80 88.8 87.8 89.4 89.8 88.9 90.4
79 88.3 87.2 89 89.3 88.4 90
78 87.9 86.7 88.6 88.9 87.9 89.6
77 87.4 86.2 88.3 88.5 87.4 89.3
76 87 85.8 87.9 88.1 86.9 89
75 86.6 85.3 87.6 87.7 86.5 88.7
74 86.3 84.9 87.3 87.4 86.1 88.4
73 85.9 84.5 87 87 85.7 88.1
72 85.5 84.1 86.7 86.7 85.3 87.9
71 85.2 83.7 86.4 86.4 84.9 87.6
70 84.9 83.3 86.1 86.1 84.5 87.4
69 84.6 82.9 85.9 85.8 84.1 87.2
68 84.2 82.6 85.6 85.5 83.8 87
67 83.9 82.2 85.4 85.2 83.4 86.8
66 83.7 81.9 85.2 85 83.1 86.6
65 83.4 81.6 84.9 84.8 82.8 86.5
64 83.1 81.3 84.7 84.5 82.5 86.3
63 82.9 81 84.5 84.3 82.2 86.1
62 82.7 80.7 84.3 84.1 82 86
61 82.4 80.5 84.2 83.8 81.7 85.8
60 82.2 80.3 84 83.6 81.4 85.7
59 82 80 83.8 83.4 81.1 85.5
58 81.8 79.8 83.7 83.2 80.9 85.4
57 81.7 79.6 83.5 83 80.6 85.2
56 81.5 79.4 83.4 82.8 80.3 85.1
55 81.3 79.3 83.3 82.6 80.1 85
54 81.2 79.1 83.1 82.4 79.9 84.8
53 81.1 78.9 83 82.2 79.6 84.7
52 80.9 78.8 82.9 82 79.4 84.6
51 80.8 78.7 82.8 81.9 79.1 84.4
50 80.7 78.5 82.7 81.7 78.9 84.3
49 80.6 78.4 82.6 81.5 78.7 84.2
48 80.5 78.3 82.5 81.3 78.5 84.1
47 80.4 78.2 82.5 81.2 78.2 84
46 80.3 78.1 82.4 81 78 83.9
45 80.2 78 82.3 80.8 77.8 83.8
44 80.2 77.9 82.2 80.7 77.6 83.7
43 80.1 77.9 82.2 80.5 77.4 83.6
42 80 77.8 82.1 80.4 77.2 83.5
41 80 77.7 82.1 80.2 77 83.5
40 79.9 77.6 82 80.1 76.8 83.4
39 79.8 77.6 82 80 76.6 83.3
38 79.8 77.5 81.9 79.8 76.4 83.2
37 79.7 77.5 81.9 79.7 76.3 83.2
36 79.7 77.4 81.8 79.6 76.1 83.1
35 79.6 77.3 81.8 79.5 76 83.1
34 79.6 77.3 81.7 79.4 75.9 83
33 79.5 77.2 81.7 79.3 75.8 82.9
32 79.5 77.2 81.7 79.3 75.6 82.9
31 79.4 77.1 81.6 79.2 75.5 82.9
30 79.4 77 81.6 79.1 75.4 82.8
29 79.3 77 81.6 79 75.3 82.8
28 79.3 76.9 81.5 79 75.2 82.7
27 79.2 76.9 81.5 78.9 75.1 82.7
26 79.2 76.8 81.5 78.8 75 82.7
25 79.1 76.7 81.4 78.7 74.9 82.6
24 79.1 76.7 81.4 78.7 74.8 82.6
23 79.1 76.6 81.4 78.6 74.7 82.6
22 79 76.6 81.4 78.5 74.7 82.5
21 79 76.5 81.3 78.5 74.6 82.5
20 78.9 76.4 81.3 78.4 74.5 82.5
19 78.9 76.3 81.3 78.3 74.3 82.4
18 78.8 76.3 81.2 78.3 74.2 82.4
17 78.8 76.2 81.2 78.2 74.1 82.3
16 78.7 76.2 81.2 78.1 74.1 82.3
15 78.7 76.2 81.2 78.1 74 82.3
14 78.7 76.2 81.2 78 73.9 82.3
13 78.7 76.1 81.1 78 73.9 82.2
12 78.7 76.1 81.1 78 73.9 82.2
11 78.7 76.1 81.1 77.9 73.8 82.2
10 78.6 76.1 81.1 77.9 73.8 82.2
9 78.6 76.1 81.1 77.9 73.8 82.1
8 78.6 76.1 81.1 77.9 73.8 82.1
7 78.6 76.1 81.1 77.9 73.7 82.1
6 78.6 76.1 81.1 77.8 73.7 82.1
5 78.6 76 81.1 77.8 73.7 82.1
4 78.6 76 81 77.8 73.7 82
3 78.6 76 81 77.7 73.6 82
2 78.5 76 81 77.7 73.6 82
1 78.5 76 81 77.7 73.5 81.9
0 77.8 75.3 80.3 77.1 72.9 81.4

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

GeoRank.org/life-expectancy/argentina/thailand | 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 79.1 in Thailand, rising to 83.4 and 84.8 at 65, and to 88.8 and 89.8 at 80 — higher than the 77.8 and 77.1 years calculated at birth.

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

Probability of surviving to a given age

Argentina
Male

Female
Thailand
Male

Female
1x
Age Survival probability
Argentina Thailand
Average Male Female Average Male Female
100 1.96% 1.06% 2.73% 3.38% 2.05% 4.79%
99 2.74% 1.52% 3.8% 4.53% 2.77% 6.38%
98 3.74% 2.11% 5.15% 5.9% 3.65% 8.27%
97 4.98% 2.88% 6.8% 7.52% 4.71% 10.5%
96 6.48% 3.84% 8.79% 9.37% 5.96% 13%
95 8.24% 5.01% 11.1% 11.5% 7.39% 15.7%
94 10.3% 6.42% 13.7% 13.8% 9.02% 18.7%
93 12.6% 8.07% 16.6% 16.3% 10.8% 21.9%
92 15.1% 9.97% 19.8% 19% 12.8% 25.4%
91 18% 12.1% 23.3% 21.8% 15% 29%
90 21% 14.5% 26.9% 24.8% 17.4% 32.7%
89 24.2% 17% 30.7% 28% 19.9% 36.4%
88 27.5% 19.8% 34.6% 31.1% 22.4% 40.2%
87 30.8% 22.7% 38.4% 34.3% 25.1% 43.9%
86 34.3% 25.8% 42.2% 37.5% 27.8% 47.6%
85 37.7% 29% 45.9% 40.6% 30.6% 51.1%
84 41.2% 32.3% 49.5% 43.7% 33.4% 54.5%
83 44.6% 35.7% 53% 46.7% 36.2% 57.6%
82 47.9% 39.2% 56.3% 49.6% 38.9% 60.7%
81 51.1% 42.5% 59.4% 52.4% 41.6% 63.5%
80 54.2% 45.8% 62.3% 55% 44.3% 66.1%
79 57.1% 49% 65% 57.5% 46.9% 68.6%
78 59.8% 52.1% 67.4% 59.9% 49.4% 70.8%
77 62.4% 55% 69.7% 62.2% 51.8% 72.9%
76 64.8% 57.7% 71.8% 64.3% 54.1% 74.8%
75 67.1% 60.4% 73.7% 66.2% 56.3% 76.5%
74 69.2% 62.9% 75.5% 68% 58.3% 78%
73 71.3% 65.3% 77.2% 69.7% 60.3% 79.4%
72 73.2% 67.5% 78.8% 71.3% 62.2% 80.7%
71 75% 69.7% 80.3% 72.9% 64% 81.9%
70 76.7% 71.8% 81.6% 74.3% 65.8% 83.1%
69 78.3% 73.8% 82.9% 75.6% 67.4% 84.1%
68 79.9% 75.7% 84.1% 76.9% 69% 85%
67 81.3% 77.4% 85.2% 78% 70.4% 85.8%
66 82.6% 79.1% 86.3% 79% 71.7% 86.6%
65 83.9% 80.6% 87.2% 80% 72.9% 87.3%
64 85.1% 82% 88.1% 81% 74.1% 87.9%
63 86.1% 83.4% 89% 81.9% 75.3% 88.6%
62 87.1% 84.6% 89.8% 82.7% 76.4% 89.1%
61 88.1% 85.7% 90.5% 83.5% 77.5% 89.7%
60 88.9% 86.7% 91.1% 84.3% 78.5% 90.3%
59 89.7% 87.7% 91.8% 85.1% 79.5% 90.8%
58 90.4% 88.5% 92.3% 85.8% 80.4% 91.3%
57 91.1% 89.3% 92.8% 86.5% 81.3% 91.7%
56 91.7% 90.1% 93.3% 87.1% 82.2% 92.2%
55 92.2% 90.7% 93.7% 87.7% 83% 92.6%
54 92.7% 91.3% 94.1% 88.3% 83.8% 93%
53 93.1% 91.9% 94.5% 88.9% 84.6% 93.4%
52 93.6% 92.4% 94.8% 89.5% 85.3% 93.8%
51 93.9% 92.8% 95.1% 90% 86.1% 94.1%
50 94.3% 93.2% 95.4% 90.5% 86.8% 94.4%
49 94.6% 93.6% 95.7% 91% 87.4% 94.7%
48 94.9% 93.9% 95.9% 91.5% 88.1% 95%
47 95.2% 94.3% 96.2% 91.9% 88.7% 95.3%
46 95.4% 94.6% 96.4% 92.4% 89.4% 95.6%
45 95.7% 94.8% 96.5% 92.8% 90% 95.8%
44 95.9% 95% 96.7% 93.2% 90.5% 96%
43 96.1% 95.3% 96.9% 93.6% 91.1% 96.2%
42 96.2% 95.5% 97% 94% 91.6% 96.4%
41 96.4% 95.7% 97.2% 94.3% 92.1% 96.6%
40 96.5% 95.8% 97.3% 94.7% 92.6% 96.8%
39 96.7% 96% 97.4% 95% 93.1% 97%
38 96.8% 96.2% 97.5% 95.2% 93.5% 97.1%
37 96.9% 96.3% 97.6% 95.5% 93.8% 97.2%
36 97.1% 96.5% 97.7% 95.7% 94.2% 97.4%
35 97.2% 96.6% 97.8% 96% 94.5% 97.5%
34 97.3% 96.7% 97.9% 96.2% 94.8% 97.6%
33 97.4% 96.9% 98% 96.3% 95.1% 97.7%
32 97.5% 97% 98% 96.5% 95.3% 97.8%
31 97.6% 97.1% 98.1% 96.7% 95.6% 97.9%
30 97.7% 97.2% 98.2% 96.8% 95.8% 97.9%
29 97.8% 97.3% 98.2% 97% 96% 98%
28 97.9% 97.5% 98.3% 97.1% 96.2% 98.1%
27 97.9% 97.6% 98.3% 97.3% 96.4% 98.2%
26 98% 97.7% 98.4% 97.4% 96.6% 98.2%
25 98.1% 97.8% 98.4% 97.5% 96.8% 98.3%
24 98.2% 97.9% 98.5% 97.6% 97% 98.3%
23 98.3% 98% 98.5% 97.7% 97.1% 98.4%
22 98.4% 98.2% 98.6% 97.9% 97.3% 98.5%
21 98.5% 98.3% 98.6% 98% 97.5% 98.5%
20 98.5% 98.4% 98.7% 98.1% 97.7% 98.6%
19 98.6% 98.5% 98.7% 98.2% 97.9% 98.6%
18 98.7% 98.6% 98.8% 98.4% 98.1% 98.7%
17 98.8% 98.7% 98.8% 98.5% 98.2% 98.7%
16 98.8% 98.8% 98.8% 98.6% 98.4% 98.8%
15 98.8% 98.8% 98.9% 98.6% 98.5% 98.8%
14 98.9% 98.9% 98.9% 98.7% 98.6% 98.9%
13 98.9% 98.9% 98.9% 98.8% 98.6% 98.9%
12 98.9% 98.9% 98.9% 98.8% 98.7% 98.9%
11 98.9% 98.9% 99% 98.8% 98.7% 99%
10 98.9% 98.9% 99% 98.9% 98.8% 99%
9 99% 98.9% 99% 98.9% 98.8% 99%
8 99% 99% 99% 98.9% 98.8% 99.1%
7 99% 99% 99% 99% 98.9% 99.1%
6 99% 99% 99% 99% 98.9% 99.1%
5 99% 99% 99% 99% 98.9% 99.1%
4 99% 99% 99.1% 99.1% 99% 99.2%
3 99.1% 99.1% 99.1% 99.1% 99% 99.2%
2 99.1% 99.1% 99.1% 99.2% 99.1% 99.3%
1 99.1% 99.1% 99.2% 99.2% 99.2% 99.3%

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

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

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 84.3% in Thailand are expected to live past 60, 76.7% and 74.3% past 70, 54.2% and 55% past 80, and only 21% and 24.8% 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
Thailand
Male

Female
1x
Age Probability of dying
Argentina Thailand
Average Male Female Average Male Female
100 30.3% 31.7% 30% 26.9% 27.5% 26.6%
99 28.6% 30% 28.2% 25.3% 26% 24.9%
98 26.7% 28.3% 26.2% 23.3% 24.2% 22.9%
97 24.9% 26.6% 24.4% 21.5% 22.5% 21%
96 23.1% 25% 22.6% 19.8% 20.9% 19.2%
95 21.4% 23.4% 20.7% 18.2% 19.4% 17.5%
94 19.8% 21.9% 19% 16.7% 18% 16%
93 18.3% 20.5% 17.5% 15.4% 16.8% 14.7%
92 17% 19% 16.2% 14.3% 15.7% 13.5%
91 15.7% 17.6% 15% 13.2% 14.6% 12.4%
90 14.4% 16.3% 13.6% 12.1% 13.5% 11.3%
89 13.2% 15.1% 12.3% 11.1% 12.5% 10.3%
88 12% 13.9% 11.1% 10.2% 11.5% 9.39%
87 10.9% 12.9% 9.97% 9.3% 10.6% 8.49%
86 10% 12% 8.98% 8.48% 9.79% 7.66%
85 9.16% 11.1% 8.1% 7.72% 9.03% 6.89%
84 8.39% 10.3% 7.3% 7.03% 8.32% 6.18%
83 7.66% 9.51% 6.56% 6.39% 7.67% 5.54%
82 6.96% 8.73% 5.87% 5.83% 7.08% 4.97%
81 6.29% 7.95% 5.23% 5.31% 6.53% 4.46%
80 5.66% 7.2% 4.64% 4.83% 6.02% 3.99%
79 5.08% 6.49% 4.11% 4.39% 5.53% 3.57%
78 4.56% 5.85% 3.65% 3.99% 5.07% 3.18%
77 4.11% 5.28% 3.26% 3.6% 4.64% 2.83%
76 3.72% 4.78% 2.92% 3.25% 4.23% 2.51%
75 3.38% 4.36% 2.64% 2.94% 3.86% 2.23%
74 3.1% 3.99% 2.4% 2.67% 3.54% 1.98%
73 2.85% 3.67% 2.19% 2.44% 3.27% 1.78%
72 2.63% 3.39% 2% 2.25% 3.04% 1.62%
71 2.43% 3.13% 1.83% 2.09% 2.84% 1.47%
70 2.24% 2.9% 1.68% 1.94% 2.66% 1.35%
69 2.07% 2.68% 1.54% 1.79% 2.47% 1.22%
68 1.91% 2.47% 1.42% 1.62% 2.26% 1.09%
67 1.76% 2.28% 1.3% 1.45% 2.03% 0.96%
66 1.62% 2.08% 1.2% 1.29% 1.82% 0.85%
65 1.49% 1.9% 1.11% 1.21% 1.7% 0.79%
64 1.37% 1.74% 1.03% 1.16% 1.62% 0.75%
63 1.25% 1.58% 0.95% 1.1% 1.54% 0.71%
62 1.15% 1.44% 0.87% 1.03% 1.45% 0.67%
61 1.05% 1.31% 0.8% 0.98% 1.37% 0.63%
60 0.96% 1.19% 0.73% 0.93% 1.3% 0.6%
59 0.87% 1.08% 0.67% 0.88% 1.23% 0.57%
58 0.79% 0.98% 0.61% 0.83% 1.17% 0.54%
57 0.72% 0.89% 0.55% 0.79% 1.11% 0.51%
56 0.65% 0.8% 0.5% 0.75% 1.05% 0.48%
55 0.59% 0.73% 0.46% 0.71% 1% 0.46%
54 0.54% 0.66% 0.42% 0.68% 0.95% 0.44%
53 0.49% 0.59% 0.38% 0.65% 0.91% 0.41%
52 0.44% 0.54% 0.35% 0.62% 0.88% 0.39%
51 0.41% 0.49% 0.32% 0.6% 0.84% 0.37%
50 0.37% 0.45% 0.3% 0.57% 0.81% 0.35%
49 0.34% 0.41% 0.28% 0.54% 0.78% 0.32%
48 0.31% 0.37% 0.25% 0.52% 0.74% 0.3%
47 0.28% 0.33% 0.23% 0.49% 0.72% 0.28%
46 0.26% 0.3% 0.21% 0.47% 0.69% 0.27%
45 0.23% 0.27% 0.19% 0.45% 0.67% 0.25%
44 0.21% 0.25% 0.18% 0.44% 0.64% 0.23%
43 0.2% 0.23% 0.16% 0.42% 0.62% 0.22%
42 0.18% 0.21% 0.15% 0.39% 0.59% 0.21%
41 0.17% 0.2% 0.14% 0.37% 0.55% 0.19%
40 0.16% 0.18% 0.13% 0.35% 0.52% 0.18%
39 0.15% 0.18% 0.12% 0.32% 0.48% 0.17%
38 0.14% 0.17% 0.11% 0.3% 0.44% 0.16%
37 0.13% 0.16% 0.11% 0.27% 0.4% 0.14%
36 0.12% 0.15% 0.1% 0.25% 0.36% 0.13%
35 0.12% 0.14% 0.09% 0.23% 0.33% 0.12%
34 0.11% 0.14% 0.08% 0.21% 0.3% 0.11%
33 0.11% 0.13% 0.08% 0.19% 0.28% 0.1%
32 0.1% 0.13% 0.07% 0.18% 0.26% 0.09%
31 0.1% 0.12% 0.07% 0.17% 0.25% 0.08%
30 0.09% 0.12% 0.06% 0.16% 0.24% 0.08%
29 0.09% 0.12% 0.06% 0.15% 0.23% 0.08%
28 0.09% 0.12% 0.06% 0.15% 0.22% 0.07%
27 0.09% 0.12% 0.06% 0.14% 0.21% 0.07%
26 0.09% 0.12% 0.05% 0.13% 0.2% 0.07%
25 0.09% 0.12% 0.05% 0.13% 0.19% 0.06%
24 0.09% 0.12% 0.05% 0.12% 0.18% 0.06%
23 0.09% 0.12% 0.05% 0.12% 0.18% 0.06%
22 0.09% 0.12% 0.05% 0.12% 0.18% 0.06%
21 0.09% 0.13% 0.05% 0.12% 0.19% 0.06%
20 0.09% 0.12% 0.05% 0.13% 0.19% 0.06%
19 0.08% 0.12% 0.05% 0.13% 0.2% 0.06%
18 0.07% 0.1% 0.04% 0.12% 0.19% 0.06%
17 0.06% 0.08% 0.04% 0.11% 0.17% 0.05%
16 0.05% 0.06% 0.04% 0.1% 0.14% 0.05%
15 0.04% 0.05% 0.03% 0.08% 0.11% 0.05%
14 0.03% 0.03% 0.03% 0.07% 0.09% 0.04%
13 0.02% 0.02% 0.02% 0.05% 0.07% 0.04%
12 0.02% 0.02% 0.02% 0.04% 0.05% 0.03%
11 0.02% 0.02% 0.02% 0.04% 0.05% 0.03%
10 0.01% 0.01% 0.01% 0.03% 0.04% 0.03%
9 0.01% 0.01% 0.01% 0.03% 0.04% 0.03%
8 0.01% 0.01% 0.01% 0.03% 0.04% 0.02%
7 0.01% 0.02% 0.01% 0.03% 0.04% 0.03%
6 0.02% 0.02% 0.02% 0.03% 0.04% 0.03%
5 0.02% 0.02% 0.02% 0.04% 0.04% 0.03%
4 0.02% 0.02% 0.02% 0.04% 0.04% 0.04%
3 0.03% 0.03% 0.03% 0.05% 0.05% 0.04%
2 0.03% 0.03% 0.04% 0.05% 0.05% 0.05%
1 0.04% 0.04% 0.05% 0.06% 0.06% 0.07%
0 0.85% 0.88% 0.83% 0.76% 0.84% 0.67%

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

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

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

The annual chance of dying is 0.85% in the birth year in Argentina and 0.76% in Thailand, 0.09% vs 0.16% at age 30, 0.96% vs 0.93% at 60, and 5.66% vs 4.83% at 80.

Death rate by age in Argentina vs Thailand

Argentina
Male

Female
Thailand
Male

Female
1x
Age Death rate
Argentina Thailand
Total Male Female Total Male Female
100 520 252.3 745 906 530 1,303
99 784 455 1,070 1,143 719 1,589
98 998 599 1,350 1,374 882 1,890
97 1,238 767 1,658 1,615 1,060 2,196
96 1,497 959 1,982 1,855 1,247 2,491
95 1,759 1,172 2,297 2,082 1,435 2,757
94 2,028 1,408 2,604 2,298 1,626 2,999
93 2,300 1,654 2,907 2,505 1,819 3,222
92 2,573 1,898 3,211 2,704 2,011 3,427
91 2,825 2,133 3,482 2,878 2,190 3,596
90 3,023 2,357 3,661 3,009 2,344 3,702
89 3,178 2,564 3,776 3,107 2,476 3,762
88 3,294 2,752 3,833 3,171 2,586 3,775
87 3,373 2,926 3,829 3,193 2,668 3,731
86 3,425 3,083 3,789 3,180 2,726 3,642
85 3,453 3,220 3,720 3,139 2,763 3,517
84 3,451 3,329 3,616 3,072 2,778 3,364
83 3,414 3,399 3,478 2,986 2,775 3,193
82 3,336 3,417 3,307 2,888 2,755 3,014
81 3,218 3,382 3,106 2,779 2,719 2,829
80 3,068 3,299 2,889 2,658 2,666 2,639
79 2,902 3,182 2,670 2,529 2,595 2,448
78 2,731 3,045 2,461 2,389 2,506 2,253
77 2,565 2,902 2,269 2,240 2,402 2,060
76 2,411 2,761 2,097 2,090 2,289 1,874
75 2,270 2,629 1,945 1,946 2,174 1,701
74 2,145 2,508 1,810 1,815 2,067 1,548
73 2,030 2,396 1,688 1,702 1,973 1,416
72 1,922 2,289 1,575 1,605 1,892 1,304
71 1,819 2,185 1,469 1,520 1,820 1,207
70 1,720 2,082 1,369 1,439 1,748 1,117
69 1,623 1,979 1,277 1,352 1,664 1,027
68 1,528 1,872 1,191 1,249 1,556 929
67 1,434 1,762 1,111 1,133 1,427 826
66 1,342 1,649 1,037 1,023 1,302 734
65 1,251 1,535 968 967 1,237 687
64 1,164 1,424 904 937 1,204 663
63 1,080 1,317 842 897 1,156 630
62 999 1,216 782 852 1,105 595
61 922 1,121 723 818 1,065 569
60 850 1,032 667 782 1,023 541
59 781 948 613 747 979 514
58 716 869 562 716 941 490
57 654 794 515 686 904 468
56 597 723 470 656 867 446
55 544 658 430 627 829 425
54 497 598 394 601 797 405
53 454 545 362 580 773 386
52 416 497 334 559 751 367
51 382 454 308 537 727 347
50 351 415 285.3 515 702 327
49 323 379 263.7 494 678 307
48 295.6 346 243.3 474 656 288.2
47 270.1 315 223.7 455 636 270.1
46 246.2 285.9 205.1 438 617 253.3
45 224.3 259.7 187.8 422 600 238
44 204.9 236.5 172.1 406 582 224
43 188.1 216.9 158.3 389 561 211
42 174.1 200.8 146.5 370 537 198.9
41 162.5 187.7 136.2 350 509 187.4
40 152.7 177.1 127.2 329 477 175.9
39 144 168 118.9 307 444 164.3
38 136.1 160 111.1 283 409 152.4
37 128.5 152.6 103.3 259.7 375 140.2
36 121.2 145.5 95.8 237.3 342 128
35 114.4 139 88.6 216.6 313 116.5
34 108.1 133 82 198.7 288.3 106
33 102.6 128 76.1 183.9 267.9 96.9
32 98.2 124.1 71.1 172.3 252 89.3
31 94.7 121.2 66.9 163.2 239.6 83.1
30 92 119.3 63.5 155.8 229.6 78
29 89.8 117.9 60.4 149.3 220.5 73.8
28 88 117 57.6 142.7 210.9 70.1
27 86.4 116.3 55.1 136 200.7 66.8
26 85.1 116 52.7 129.3 190.3 63.8
25 84.2 116.3 50.6 123.1 181 61.3
24 83.9 117.2 49 118.6 174.6 59.2
23 84.5 119.4 47.9 116.8 172.5 57.8
22 85.6 122 47.4 117.6 175 57.1
21 86.6 123.9 47.2 120.7 181.2 57
20 85.9 122.9 46.9 124.3 188 57.1
19 82 116.1 45.9 125.9 191.1 56.9
18 73.8 102.2 43.6 122.2 184.7 56
17 62.3 83.4 40 112.5 167.5 54.1
16 49.6 63.1 35.2 97.5 141.4 50.9
15 38.2 45.8 30.1 80.9 113.1 46.8
14 29.1 32.7 25.1 65.5 87.5 42.1
13 22.6 24.1 21 53.1 67.8 37.5
12 18.2 18.8 17.7 43.9 53.9 33.2
11 15.5 15.7 15.3 37.4 44.7 29.7
10 14 14.1 13.8 33.3 39.2 27.1
9 13.4 13.8 13 31 36.2 25.4
8 13.6 14.2 13.1 29.9 34.8 24.6
7 14.6 15.3 13.8 30.1 34.9 25
6 16.4 17.2 15.5 31.6 36.3 26.6
5 19 19.7 18.3 34.7 39.1 30
4 22.7 22.9 22.5 39.3 43.1 35.2
3 27.6 26.9 28.4 45.5 48.1 42.6
2 34.2 31.8 36.6 53.4 54.3 52.5
1 42.6 37.8 47.7 63.5 61.6 65.5
0 851 876 826 761 845 672

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

GeoRank.org/life-expectancy/argentina/thailand | 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 87 in Thailand. The median age of death is 81.4 in Argentina and 81.8 in Thailand, 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 Thailand 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/thailand | 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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