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Life Expectancy in Argentina vs Zimbabwe (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 77.8 years in Argentina vs 63.6 in Zimbabwe. Argentina is ranked 66/197 by life expectancy, and Zimbabwe is 180/197. In Argentina, the life expectancy is 75.3 years for males and 80.3 years for females. In Zimbabwe, it's 61 years for males and 65.9 years for females.

Argentina vs Zimbabwe life expectancy at birth by year

Argentina
Male

Female
Zimbabwe
Male

Female
1x
Year Life expectancy, years
Argentina Zimbabwe
Average Male Female Average Male Female
2026 77.8 75.3 80.3 63.6 61 65.9
2025 77.7 75.1 80.2 63.3 60.8 65.6
2024 77.5 75 80 63.1 60.5 65.3
2023 77.4 74.8 79.9 62.8 60.2 65
2022 75.8 73.2 78.3 62.4 59.9 64.5
2021 73.9 71.1 76.9 60.1 57.7 62.3
2020 75.9 73 78.8 61.5 59.1 63.7
2019 76.8 74.2 79.4 61.1 58.8 63
2018 76.8 74 79.5 60.9 58.9 62.7
2017 76.5 73.8 79.2 60.3 58.3 62
2016 76.1 73 79.1 59.8 57.9 61.4
2015 76.6 73.4 79.8 59 57.3 60.5
2014 76.3 73.3 79.2 58.1 56.6 59.5
2013 75.8 73 78.6 56.8 55.4 58.2
2012 75.8 72.9 78.7 55.4 54.1 56.6
2011 76.1 72.7 79.4 53.9 52.5 55.2
2010 75.7 72.5 78.7 51.9 51.2 52.7
2009 75.6 72.4 78.6 49.7 49.2 50.3
2008 75.4 72.2 78.6 48.5 48.2 48.7
2007 74.8 71.6 77.9 47.6 47.6 47.6
2006 75.3 72 78.4 47.1 46.9 47.4
2005 75.2 71.8 78.6 46.6 46.2 47
2004 74.9 71.5 78.2 46 45.7 46.5
2003 74.3 70.8 77.8 45.4 45 45.8
2002 74.3 70.7 77.9 45.9 45.1 46.8
2001 74.2 70.6 77.6 44.5 44 45.1
2000 73.9 70.5 77.3 46 44.8 47.3
1999 73.7 70.3 77.1 46.4 45 47.8
1998 73.4 69.9 76.9 47.6 46 49.2
1997 73.4 70 76.8 48.5 47 50.1
1996 73.1 69.7 76.4 49 46.9 51.1
1995 72.9 69.5 76.2 51.1 49.2 53.2
1994 72.7 69.5 75.9 52.5 50.4 54.8
1993 72.3 68.9 75.7 54 51.6 56.5
1992 72.1 68.7 75.5 55.6 52.9 58.4
1991 72 68.7 75.3 57 54.1 60.1
1990 71.6 68.3 74.9 58.3 55.2 61.6
1989 71.5 68 75 59.4 56.1 62.9
1988 71.1 67.6 74.6 60.2 56.8 63.8
1987 70.7 67.3 74.2 60.7 57.2 64.3
1986 70.3 66.9 73.8 61 57.5 64.5
1985 69.9 66.5 73.4 60.9 57.5 64.3
1984 69.4 66.1 72.8 60.6 57.3 63.9
1983 69.3 66 72.7 60 56.7 63.3
1982 69 65.6 72.6 59.9 56.8 63
1981 68.9 65.5 72.4 59.4 56.4 62.5
1980 68.6 65.3 72 59.1 56.2 62.2
1979 68.4 65.1 72 54.9 49.2 61.3
1978 68 64.5 71.7 54.7 49 61.2
1977 67.6 63.9 71.6 57 53 61.3
1976 67 63.4 71 57.6 54.2 61.3
1975 67 63.4 70.9 58.2 55.4 61.2
1974 66.4 62.8 70.4 58.2 55.3 61.1
1973 66.2 62.7 70.1 58.1 55.2 61
1972 66 62.5 69.8 58.2 55.5 60.9
1971 65.6 62.2 69.4 58 55.3 60.7
1970 65.6 62.2 69.6 57.8 55.1 60.5
1969 65.1 61.6 69.1 57.5 54.8 60.2
1968 65.2 61.8 69.2 57.1 54.4 59.9
1967 65.5 62.1 69.3 56.8 54.1 59.5
1966 65.4 62.2 69.1 56.4 53.7 59
1965 65.1 61.8 68.8 55.9 53.3 58.5
1964 64.8 61.6 68.5 55.4 52.9 58
1963 64.9 61.6 68.6 54.9 52.4 57.5
1962 64.6 61.5 68.3 54.5 52 57
1961 64.6 61.5 68.2 54 51.5 56.5
1960 64.2 61.2 67.8 53.5 51.1 56
1959 64.1 61.2 67.4 53 50.6 55.5
1958 64.2 61.4 67.4 52.6 50.2 55
1957 63.2 60.5 66.5 52.2 49.9 54.6
1956 63.6 60.8 66.9 51.8 49.5 54.2
1955 62.7 59.9 66.1 51.4 49.1 53.7
1954 63.1 60.4 66.2 51 48.8 53.3
1953 62.5 59.7 65.8 50.6 48.4 52.9
1952 62.5 60 65.4 50.2 48 52.5
1951 61.7 59.2 64.7 49.8 47.6 52.1
1950 61.3 58.7 64.3 49.4 47.2 51.7

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

GeoRank.org/life-expectancy/argentina/zimbabwe | 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 51.2 in Zimbabwe. People who reach age 60 can expect an additional 15 healthy years in Argentina and 10.4 in Zimbabwe.

Argentina vs Zimbabwe 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 Zimbabwe, 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 38.5 years

Mean expected age of death:
79.4 vs 68.5 years

Median expected age of death:
81.7 vs 70.7 years

Odds of living to

Target age Survival probability
Argentina Zimbabwe
Male Female Male Female
40 98.6% 99.1% 93.7% 95.2%
50 95.9% 97.2% 83.3% 87.7%
60 89.2% 92.9% 67.6% 76.0%
65 82.9% 88.9% 57.2% 67.5%
70 73.9% 83.2% 45.2% 57.0%
75 62.1% 75.1% 32.1% 44.6%
80 47.1% 63.5% 19.3% 31.3%
85 29.8% 46.8% 9.1% 18.2%
90 14.9% 27.5% 3.0% 7.8%
95 5.2% 11.3% 0.6% 2.2%
100 1.1% 2.8% 0.1% 0.4%

Life expectancy by current age

Argentina
Male

Female
Zimbabwe
Male

Female
1x
Current age, years Total life expectancy, years
Argentina Zimbabwe
Average Male Female Average Male Female
100 102.6 102.3 102.7 102.2 101.9 102.2
99 101.7 101.4 101.8 101.2 101 101.3
98 100.8 100.6 100.9 100.4 100.1 100.4
97 100 99.8 100.1 99.5 99.2 99.5
96 99.2 99 99.3 98.6 98.4 98.7
95 98.4 98.2 98.5 97.7 97.5 97.8
94 97.6 97.3 97.7 96.9 96.6 97
93 96.9 96.6 97 96 95.7 96.1
92 96.1 95.8 96.3 95.2 94.9 95.3
91 95.4 95 95.6 94.4 94 94.5
90 94.7 94.3 94.9 93.6 93.2 93.8
89 94 93.6 94.2 92.8 92.4 93
88 93.4 92.9 93.6 92 91.6 92.2
87 92.7 92.2 93 91.2 90.8 91.5
86 92.1 91.5 92.4 90.5 90 90.8
85 91.5 90.8 91.8 89.8 89.2 90.1
84 90.9 90.2 91.3 89 88.4 89.4
83 90.3 89.5 90.8 88.4 87.7 88.7
82 89.8 88.9 90.3 87.7 87 88.1
81 89.3 88.3 89.8 87 86.3 87.5
80 88.8 87.8 89.4 86.4 85.6 86.9
79 88.3 87.2 89 85.8 84.9 86.3
78 87.9 86.7 88.6 85.1 84.2 85.7
77 87.4 86.2 88.3 84.5 83.6 85.2
76 87 85.8 87.9 83.9 83 84.6
75 86.6 85.3 87.6 83.4 82.3 84.1
74 86.3 84.9 87.3 82.8 81.7 83.5
73 85.9 84.5 87 82.2 81.2 83
72 85.5 84.1 86.7 81.7 80.6 82.5
71 85.2 83.7 86.4 81.2 80 82.1
70 84.9 83.3 86.1 80.7 79.5 81.6
69 84.6 82.9 85.9 80.2 79 81.1
68 84.2 82.6 85.6 79.7 78.4 80.7
67 83.9 82.2 85.4 79.2 77.9 80.2
66 83.7 81.9 85.2 78.8 77.5 79.8
65 83.4 81.6 84.9 78.3 77 79.4
64 83.1 81.3 84.7 77.9 76.5 79
63 82.9 81 84.5 77.5 76.1 78.6
62 82.7 80.7 84.3 77.1 75.6 78.2
61 82.4 80.5 84.2 76.7 75.2 77.9
60 82.2 80.3 84 76.3 74.8 77.5
59 82 80 83.8 75.9 74.4 77.2
58 81.8 79.8 83.7 75.6 74 76.9
57 81.7 79.6 83.5 75.2 73.6 76.6
56 81.5 79.4 83.4 74.9 73.2 76.3
55 81.3 79.3 83.3 74.6 72.8 76
54 81.2 79.1 83.1 74.2 72.5 75.7
53 81.1 78.9 83 73.9 72.1 75.4
52 80.9 78.8 82.9 73.6 71.8 75.1
51 80.8 78.7 82.8 73.3 71.4 74.8
50 80.7 78.5 82.7 73 71.1 74.6
49 80.6 78.4 82.6 72.7 70.8 74.3
48 80.5 78.3 82.5 72.5 70.5 74
47 80.4 78.2 82.5 72.2 70.2 73.8
46 80.3 78.1 82.4 71.9 69.9 73.6
45 80.2 78 82.3 71.7 69.6 73.3
44 80.2 77.9 82.2 71.4 69.3 73.1
43 80.1 77.9 82.2 71.2 69 72.9
42 80 77.8 82.1 70.9 68.7 72.7
41 80 77.7 82.1 70.7 68.5 72.5
40 79.9 77.6 82 70.5 68.2 72.2
39 79.8 77.6 82 70.2 68 72
38 79.8 77.5 81.9 70 67.8 71.9
37 79.7 77.5 81.9 69.8 67.5 71.7
36 79.7 77.4 81.8 69.6 67.3 71.5
35 79.6 77.3 81.8 69.4 67.1 71.3
34 79.6 77.3 81.7 69.2 66.9 71.1
33 79.5 77.2 81.7 69 66.7 71
32 79.5 77.2 81.7 68.9 66.5 70.8
31 79.4 77.1 81.6 68.7 66.3 70.6
30 79.4 77 81.6 68.5 66.2 70.5
29 79.3 77 81.6 68.4 66 70.4
28 79.3 76.9 81.5 68.2 65.8 70.2
27 79.2 76.9 81.5 68.1 65.7 70.1
26 79.2 76.8 81.5 68 65.5 70
25 79.1 76.7 81.4 67.8 65.4 69.8
24 79.1 76.7 81.4 67.7 65.3 69.7
23 79.1 76.6 81.4 67.6 65.1 69.6
22 79 76.6 81.4 67.5 65 69.5
21 79 76.5 81.3 67.4 64.9 69.4
20 78.9 76.4 81.3 67.3 64.8 69.3
19 78.9 76.3 81.3 67.2 64.7 69.3
18 78.8 76.3 81.2 67.1 64.6 69.2
17 78.8 76.2 81.2 67 64.5 69.1
16 78.7 76.2 81.2 67 64.4 69.1
15 78.7 76.2 81.2 66.9 64.4 69
14 78.7 76.2 81.2 66.8 64.3 69
13 78.7 76.1 81.1 66.8 64.3 68.9
12 78.7 76.1 81.1 66.8 64.2 68.9
11 78.7 76.1 81.1 66.7 64.2 68.8
10 78.6 76.1 81.1 66.7 64.2 68.8
9 78.6 76.1 81.1 66.6 64.1 68.8
8 78.6 76.1 81.1 66.6 64.1 68.7
7 78.6 76.1 81.1 66.5 64 68.7
6 78.6 76.1 81.1 66.5 64 68.6
5 78.6 76 81.1 66.4 63.9 68.5
4 78.6 76 81 66.3 63.8 68.4
3 78.6 76 81 66.2 63.6 68.3
2 78.5 76 81 66 63.5 68.1
1 78.5 76 81 65.6 63.2 67.7
0 77.8 75.3 80.3 63.6 61 65.9

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

GeoRank.org/life-expectancy/argentina/zimbabwe | 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 68.5 in Zimbabwe, rising to 83.4 and 78.3 at 65, and to 88.8 and 86.4 at 80 — higher than the 77.8 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Argentina
Male

Female
Zimbabwe
Male

Female
1x
Age Survival probability
Argentina Zimbabwe
Average Male Female Average Male Female
100 1.96% 1.06% 2.73% 0.2% 0.07% 0.33%
99 2.74% 1.52% 3.8% 0.31% 0.12% 0.5%
98 3.74% 2.11% 5.15% 0.46% 0.18% 0.73%
97 4.98% 2.88% 6.8% 0.66% 0.27% 1.05%
96 6.48% 3.84% 8.79% 0.94% 0.4% 1.47%
95 8.24% 5.01% 11.1% 1.3% 0.59% 2.02%
94 10.3% 6.42% 13.7% 1.77% 0.83% 2.71%
93 12.6% 8.07% 16.6% 2.36% 1.15% 3.55%
92 15.1% 9.97% 19.8% 3.08% 1.57% 4.57%
91 18% 12.1% 23.3% 3.95% 2.09% 5.75%
90 21% 14.5% 26.9% 4.99% 2.73% 7.15%
89 24.2% 17% 30.7% 6.18% 3.51% 8.72%
88 27.5% 19.8% 34.6% 7.56% 4.44% 10.5%
87 30.8% 22.7% 38.4% 9.1% 5.53% 12.4%
86 34.3% 25.8% 42.2% 10.8% 6.78% 14.5%
85 37.7% 29% 45.9% 12.7% 8.2% 16.8%
84 41.2% 32.3% 49.5% 14.7% 9.78% 19.1%
83 44.6% 35.7% 53% 16.8% 11.5% 21.5%
82 47.9% 39.2% 56.3% 19% 13.4% 24%
81 51.1% 42.5% 59.4% 21.2% 15.4% 26.4%
80 54.2% 45.8% 62.3% 23.5% 17.5% 28.8%
79 57.1% 49% 65% 25.9% 19.7% 31.3%
78 59.8% 52.1% 67.4% 28.3% 21.9% 33.8%
77 62.4% 55% 69.7% 30.7% 24.3% 36.3%
76 64.8% 57.7% 71.8% 33.2% 26.6% 38.7%
75 67.1% 60.4% 73.7% 35.6% 29% 41.2%
74 69.2% 62.9% 75.5% 38% 31.4% 43.6%
73 71.3% 65.3% 77.2% 40.4% 33.9% 45.9%
72 73.2% 67.5% 78.8% 42.8% 36.3% 48.2%
71 75% 69.7% 80.3% 45.1% 38.6% 50.4%
70 76.7% 71.8% 81.6% 47.3% 40.9% 52.6%
69 78.3% 73.8% 82.9% 49.5% 43.2% 54.7%
68 79.9% 75.7% 84.1% 51.6% 45.4% 56.7%
67 81.3% 77.4% 85.2% 53.6% 47.6% 58.6%
66 82.6% 79.1% 86.3% 55.6% 49.7% 60.5%
65 83.9% 80.6% 87.2% 57.6% 51.8% 62.3%
64 85.1% 82% 88.1% 59.5% 53.8% 64%
63 86.1% 83.4% 89% 61.2% 55.8% 65.7%
62 87.1% 84.6% 89.8% 63% 57.7% 67.2%
61 88.1% 85.7% 90.5% 64.6% 59.5% 68.7%
60 88.9% 86.7% 91.1% 66.2% 61.2% 70.1%
59 89.7% 87.7% 91.8% 67.6% 62.9% 71.4%
58 90.4% 88.5% 92.3% 69.1% 64.5% 72.7%
57 91.1% 89.3% 92.8% 70.4% 66% 73.9%
56 91.7% 90.1% 93.3% 71.7% 67.5% 75%
55 92.2% 90.7% 93.7% 72.9% 69% 76.1%
54 92.7% 91.3% 94.1% 74.1% 70.3% 77.2%
53 93.1% 91.9% 94.5% 75.2% 71.7% 78.2%
52 93.6% 92.4% 94.8% 76.3% 73% 79.1%
51 93.9% 92.8% 95.1% 77.4% 74.2% 80.1%
50 94.3% 93.2% 95.4% 78.4% 75.4% 81%
49 94.6% 93.6% 95.7% 79.4% 76.6% 81.8%
48 94.9% 93.9% 95.9% 80.3% 77.7% 82.6%
47 95.2% 94.3% 96.2% 81.2% 78.7% 83.4%
46 95.4% 94.6% 96.4% 82% 79.7% 84.1%
45 95.7% 94.8% 96.5% 82.9% 80.7% 84.8%
44 95.9% 95% 96.7% 83.6% 81.6% 85.5%
43 96.1% 95.3% 96.9% 84.4% 82.5% 86.1%
42 96.2% 95.5% 97% 85.1% 83.3% 86.7%
41 96.4% 95.7% 97.2% 85.8% 84.1% 87.3%
40 96.5% 95.8% 97.3% 86.4% 84.9% 87.9%
39 96.7% 96% 97.4% 87.1% 85.6% 88.4%
38 96.8% 96.2% 97.5% 87.7% 86.3% 89%
37 96.9% 96.3% 97.6% 88.2% 86.9% 89.5%
36 97.1% 96.5% 97.7% 88.8% 87.5% 89.9%
35 97.2% 96.6% 97.8% 89.3% 88.1% 90.4%
34 97.3% 96.7% 97.9% 89.8% 88.7% 90.8%
33 97.4% 96.9% 98% 90.2% 89.2% 91.2%
32 97.5% 97% 98% 90.7% 89.7% 91.6%
31 97.6% 97.1% 98.1% 91.1% 90.1% 91.9%
30 97.7% 97.2% 98.2% 91.4% 90.6% 92.3%
29 97.8% 97.3% 98.2% 91.8% 91% 92.6%
28 97.9% 97.5% 98.3% 92.1% 91.4% 92.9%
27 97.9% 97.6% 98.3% 92.5% 91.7% 93.2%
26 98% 97.7% 98.4% 92.8% 92.1% 93.5%
25 98.1% 97.8% 98.4% 93.1% 92.4% 93.7%
24 98.2% 97.9% 98.5% 93.3% 92.7% 93.9%
23 98.3% 98% 98.5% 93.6% 93% 94.2%
22 98.4% 98.2% 98.6% 93.8% 93.3% 94.4%
21 98.5% 98.3% 98.6% 94% 93.5% 94.5%
20 98.5% 98.4% 98.7% 94.2% 93.8% 94.7%
19 98.6% 98.5% 98.7% 94.4% 94% 94.9%
18 98.7% 98.6% 98.8% 94.6% 94.2% 95%
17 98.8% 98.7% 98.8% 94.7% 94.3% 95.1%
16 98.8% 98.8% 98.8% 94.8% 94.5% 95.2%
15 98.8% 98.8% 98.9% 94.9% 94.6% 95.3%
14 98.9% 98.9% 98.9% 95% 94.7% 95.4%
13 98.9% 98.9% 98.9% 95.1% 94.8% 95.5%
12 98.9% 98.9% 98.9% 95.2% 94.8% 95.6%
11 98.9% 98.9% 99% 95.3% 94.9% 95.6%
10 98.9% 98.9% 99% 95.3% 95% 95.7%
9 99% 98.9% 99% 95.4% 95.1% 95.8%
8 99% 99% 99% 95.5% 95.1% 95.8%
7 99% 99% 99% 95.6% 95.2% 95.9%
6 99% 99% 99% 95.7% 95.3% 96%
5 99% 99% 99% 95.8% 95.5% 96.1%
4 99% 99% 99.1% 95.9% 95.6% 96.3%
3 99.1% 99.1% 99.1% 96.2% 95.8% 96.5%
2 99.1% 99.1% 99.1% 96.5% 96.1% 96.8%
1 99.1% 99.1% 99.2% 96.9% 96.6% 97.3%

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

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

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 66.2% in Zimbabwe are expected to live past 60, 76.7% and 47.3% past 70, 54.2% and 23.5% past 80, and only 21% and 4.99% 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
Zimbabwe
Male

Female
1x
Age Probability of dying
Argentina Zimbabwe
Average Male Female Average Male Female
100 30.3% 31.7% 30% 35.7% 38.2% 35%
99 28.6% 30% 28.2% 34.3% 36.9% 33.6%
98 26.7% 28.3% 26.2% 32.4% 35.2% 31.7%
97 24.9% 26.6% 24.4% 31.1% 33.9% 30.2%
96 23.1% 25% 22.6% 29.6% 32.5% 28.7%
95 21.4% 23.4% 20.7% 28.1% 31% 27.1%
94 19.8% 21.9% 19% 26.4% 29.5% 25.4%
93 18.3% 20.5% 17.5% 24.9% 27.9% 23.7%
92 17% 19% 16.2% 23.5% 26.4% 22.2%
91 15.7% 17.6% 15% 21.9% 24.9% 20.6%
90 14.4% 16.3% 13.6% 20.9% 23.7% 19.6%
89 13.2% 15.1% 12.3% 19.3% 22.2% 18%
88 12% 13.9% 11.1% 18.2% 20.9% 16.8%
87 10.9% 12.9% 9.97% 16.9% 19.7% 15.6%
86 10% 12% 8.98% 15.8% 18.5% 14.5%
85 9.16% 11.1% 8.1% 14.7% 17.3% 13.3%
84 8.39% 10.3% 7.3% 13.6% 16.2% 12.3%
83 7.66% 9.51% 6.56% 12.5% 15% 11.2%
82 6.96% 8.73% 5.87% 11.6% 14% 10.2%
81 6.29% 7.95% 5.23% 10.5% 12.9% 9.17%
80 5.66% 7.2% 4.64% 9.89% 12.1% 8.58%
79 5.08% 6.49% 4.11% 9.11% 11.1% 7.87%
78 4.56% 5.85% 3.65% 8.54% 10.4% 7.38%
77 4.11% 5.28% 3.26% 7.89% 9.57% 6.81%
76 3.72% 4.78% 2.92% 7.37% 8.9% 6.37%
75 3.38% 4.36% 2.64% 6.87% 8.28% 5.94%
74 3.1% 3.99% 2.4% 6.38% 7.68% 5.51%
73 2.85% 3.67% 2.19% 5.92% 7.12% 5.11%
72 2.63% 3.39% 2% 5.51% 6.62% 4.76%
71 2.43% 3.13% 1.83% 5.06% 6.09% 4.37%
70 2.24% 2.9% 1.68% 4.75% 5.7% 4.11%
69 2.07% 2.68% 1.54% 4.38% 5.25% 3.78%
68 1.91% 2.47% 1.42% 4.09% 4.9% 3.54%
67 1.76% 2.28% 1.3% 3.82% 4.56% 3.31%
66 1.62% 2.08% 1.2% 3.58% 4.26% 3.1%
65 1.49% 1.9% 1.11% 3.38% 4.01% 2.93%
64 1.37% 1.74% 1.03% 3.14% 3.74% 2.7%
63 1.25% 1.58% 0.95% 2.92% 3.5% 2.49%
62 1.15% 1.44% 0.87% 2.73% 3.28% 2.31%
61 1.05% 1.31% 0.8% 2.53% 3.04% 2.13%
60 0.96% 1.19% 0.73% 2.37% 2.87% 1.99%
59 0.87% 1.08% 0.67% 2.19% 2.65% 1.85%
58 0.79% 0.98% 0.61% 2.04% 2.48% 1.73%
57 0.72% 0.89% 0.55% 1.91% 2.33% 1.62%
56 0.65% 0.8% 0.5% 1.79% 2.2% 1.53%
55 0.59% 0.73% 0.46% 1.69% 2.09% 1.44%
54 0.54% 0.66% 0.42% 1.6% 1.97% 1.36%
53 0.49% 0.59% 0.38% 1.52% 1.87% 1.29%
52 0.44% 0.54% 0.35% 1.44% 1.78% 1.23%
51 0.41% 0.49% 0.32% 1.36% 1.68% 1.15%
50 0.37% 0.45% 0.3% 1.3% 1.6% 1.1%
49 0.34% 0.41% 0.28% 1.22% 1.5% 1.03%
48 0.31% 0.37% 0.25% 1.16% 1.41% 0.98%
47 0.28% 0.33% 0.23% 1.09% 1.33% 0.92%
46 0.26% 0.3% 0.21% 1.04% 1.25% 0.87%
45 0.23% 0.27% 0.19% 0.99% 1.19% 0.83%
44 0.21% 0.25% 0.18% 0.93% 1.12% 0.78%
43 0.2% 0.23% 0.16% 0.89% 1.06% 0.75%
42 0.18% 0.21% 0.15% 0.84% 1% 0.71%
41 0.17% 0.2% 0.14% 0.8% 0.95% 0.68%
40 0.16% 0.18% 0.13% 0.76% 0.9% 0.65%
39 0.15% 0.18% 0.12% 0.72% 0.85% 0.62%
38 0.14% 0.17% 0.11% 0.68% 0.8% 0.59%
37 0.13% 0.16% 0.11% 0.64% 0.75% 0.55%
36 0.12% 0.15% 0.1% 0.61% 0.71% 0.53%
35 0.12% 0.14% 0.09% 0.57% 0.66% 0.5%
34 0.11% 0.14% 0.08% 0.54% 0.62% 0.47%
33 0.11% 0.13% 0.08% 0.5% 0.58% 0.44%
32 0.1% 0.13% 0.07% 0.47% 0.54% 0.41%
31 0.1% 0.12% 0.07% 0.44% 0.51% 0.39%
30 0.09% 0.12% 0.06% 0.42% 0.48% 0.37%
29 0.09% 0.12% 0.06% 0.4% 0.45% 0.35%
28 0.09% 0.12% 0.06% 0.37% 0.42% 0.33%
27 0.09% 0.12% 0.06% 0.35% 0.4% 0.31%
26 0.09% 0.12% 0.05% 0.33% 0.37% 0.29%
25 0.09% 0.12% 0.05% 0.31% 0.35% 0.26%
24 0.09% 0.12% 0.05% 0.29% 0.33% 0.25%
23 0.09% 0.12% 0.05% 0.27% 0.31% 0.23%
22 0.09% 0.12% 0.05% 0.25% 0.29% 0.21%
21 0.09% 0.13% 0.05% 0.23% 0.27% 0.19%
20 0.09% 0.12% 0.05% 0.21% 0.25% 0.18%
19 0.08% 0.12% 0.05% 0.19% 0.22% 0.16%
18 0.07% 0.1% 0.04% 0.17% 0.2% 0.15%
17 0.06% 0.08% 0.04% 0.15% 0.17% 0.13%
16 0.05% 0.06% 0.04% 0.13% 0.14% 0.12%
15 0.04% 0.05% 0.03% 0.11% 0.12% 0.1%
14 0.03% 0.03% 0.03% 0.1% 0.1% 0.09%
13 0.02% 0.02% 0.02% 0.08% 0.09% 0.08%
12 0.02% 0.02% 0.02% 0.08% 0.08% 0.07%
11 0.02% 0.02% 0.02% 0.07% 0.08% 0.07%
10 0.01% 0.01% 0.01% 0.07% 0.08% 0.07%
9 0.01% 0.01% 0.01% 0.08% 0.08% 0.07%
8 0.01% 0.01% 0.01% 0.08% 0.09% 0.08%
7 0.01% 0.02% 0.01% 0.09% 0.1% 0.09%
6 0.02% 0.02% 0.02% 0.1% 0.11% 0.1%
5 0.02% 0.02% 0.02% 0.12% 0.13% 0.12%
4 0.02% 0.02% 0.02% 0.16% 0.17% 0.16%
3 0.03% 0.03% 0.03% 0.22% 0.22% 0.22%
2 0.03% 0.03% 0.04% 0.32% 0.32% 0.32%
1 0.04% 0.04% 0.05% 0.5% 0.48% 0.52%
0 0.85% 0.88% 0.83% 3.05% 3.4% 2.7%

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

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

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

The annual chance of dying is 0.85% in the birth year in Argentina and 3.05% in Zimbabwe, 0.09% vs 0.42% at age 30, 0.96% vs 2.37% at 60, and 5.66% vs 9.89% at 80.

Death rate by age in Argentina vs Zimbabwe

Argentina
Male

Female
Zimbabwe
Male

Female
1x
Age Death rate
Argentina Zimbabwe
Total Male Female Total Male Female
100 520 252.3 745 24.9 0 53
99 784 455 1,070 105.4 43.2 168.4
98 998 599 1,350 147.6 63.5 232.4
97 1,238 767 1,658 205 92.4 318
96 1,497 959 1,982 277.6 131.3 423
95 1,759 1,172 2,297 366 181.8 548
94 2,028 1,408 2,604 469 244.7 687
93 2,300 1,654 2,907 588 322 843
92 2,573 1,898 3,211 724 414 1,016
91 2,825 2,133 3,482 863 518 1,184
90 3,023 2,357 3,661 1,040 647 1,401
89 3,178 2,564 3,776 1,196 779 1,570
88 3,294 2,752 3,833 1,372 930 1,762
87 3,373 2,926 3,829 1,540 1,088 1,934
86 3,425 3,083 3,789 1,709 1,253 2,102
85 3,453 3,220 3,720 1,858 1,418 2,232
84 3,451 3,329 3,616 1,999 1,583 2,345
83 3,414 3,399 3,478 2,102 1,730 2,403
82 3,336 3,417 3,307 2,197 1,873 2,450
81 3,218 3,382 3,106 2,235 1,982 2,419
80 3,068 3,299 2,889 2,328 2,113 2,474
79 2,902 3,182 2,670 2,358 2,186 2,465
78 2,731 3,045 2,461 2,416 2,272 2,497
77 2,565 2,902 2,269 2,424 2,321 2,470
76 2,411 2,761 2,097 2,444 2,370 2,468
75 2,270 2,629 1,945 2,448 2,404 2,446
74 2,145 2,508 1,810 2,427 2,414 2,401
73 2,030 2,396 1,688 2,393 2,412 2,346
72 1,922 2,289 1,575 2,356 2,400 2,294
71 1,819 2,185 1,469 2,281 2,352 2,203
70 1,720 2,082 1,369 2,250 2,336 2,164
69 1,623 1,979 1,277 2,166 2,269 2,069
68 1,528 1,872 1,191 2,111 2,224 2,007
67 1,434 1,762 1,111 2,050 2,172 1,938
66 1,342 1,649 1,037 1,993 2,121 1,875
65 1,251 1,535 968 1,945 2,075 1,824
64 1,164 1,424 904 1,866 2,014 1,726
63 1,080 1,317 842 1,790 1,952 1,636
62 999 1,216 782 1,718 1,890 1,553
61 922 1,121 723 1,632 1,809 1,463
60 850 1,032 667 1,571 1,756 1,398
59 781 948 613 1,481 1,664 1,318
58 716 869 562 1,411 1,599 1,257
57 654 794 515 1,341 1,537 1,197
56 597 723 470 1,284 1,485 1,146
55 544 658 430 1,233 1,440 1,097
54 497 598 394 1,184 1,389 1,052
53 454 545 362 1,140 1,342 1,009
52 416 497 334 1,100 1,298 971
51 382 454 308 1,050 1,245 925
50 351 415 285.3 1,018 1,207 892
49 323 379 263.7 969 1,146 846
48 295.6 346 243.3 929 1,096 806
47 270.1 315 223.7 888 1,046 766
46 246.2 285.9 205.1 850 1,000 731
45 224.3 259.7 187.8 816 958 702
44 204.9 236.5 172.1 779 911 669
43 188.1 216.9 158.3 747 871 642
42 174.1 200.8 146.5 717 834 617
41 162.5 187.7 136.2 685 795 592
40 152.7 177.1 127.2 659 766 571
39 144 168 118.9 627 725 545
38 136.1 160 111.1 599 691 522
37 128.5 152.6 103.3 568 655 496
36 121.2 145.5 95.8 539 619 473
35 114.4 139 88.6 512 586 450
34 108.1 133 82 481 550 423
33 102.6 128 76.1 453 517 400
32 98.2 124.1 71.1 428 487 379
31 94.7 121.2 66.9 403 458 356
30 92 119.3 63.5 385 436 341
29 89.8 117.9 60.4 363 409 323
28 88 117 57.6 343 387 303
27 86.4 116.3 55.1 324 365 286.2
26 85.1 116 52.7 304 344 267.1
25 84.2 116.3 50.6 286.4 326 248.2
24 83.9 117.2 49 268.5 307 231.1
23 84.5 119.4 47.9 251.5 289 214.4
22 85.6 122 47.4 234.1 270.1 198.3
21 86.6 123.9 47.2 216.1 249.9 182.2
20 85.9 122.9 46.9 200.4 229.9 170.6
19 82 116.1 45.9 182.4 209.2 155.3
18 73.8 102.2 43.6 164.9 188.9 140.6
17 62.3 83.4 40 143.2 161.3 124.9
16 49.6 63.1 35.2 122.8 135.4 110
15 38.2 45.8 30.1 106.1 114.9 97.1
14 29.1 32.7 25.1 90.9 97.8 83.9
13 22.6 24.1 21 80.4 85.9 74.8
12 18.2 18.8 17.7 73.9 79.4 68.4
11 15.5 15.7 15.3 70.9 76.1 65.5
10 14 14.1 13.8 70.4 74.5 66.2
9 13.4 13.8 13 72.9 76.9 68.8
8 13.6 14.2 13.1 78.6 83.3 73.8
7 14.6 15.3 13.8 87.5 92.4 82.5
6 16.4 17.2 15.5 98.5 103 94
5 19 19.7 18.3 116.6 119.9 113.1
4 22.7 22.9 22.5 153.9 157.9 149.8
3 27.6 26.9 28.4 211.7 213.4 209.9
2 34.2 31.8 36.6 308 305 311
1 42.6 37.8 47.7 484 463 505
0 851 876 826 3,053 3,402 2,699

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

GeoRank.org/life-expectancy/argentina/zimbabwe | 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 0 in Zimbabwe. The median age of death is 81.4 in Argentina and 68.8 in Zimbabwe, 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 Zimbabwe 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/zimbabwe | 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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