Skip to content

Life Expectancy in Argentina vs Congo (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 77.8 years in Argentina vs 66.4 in the Congo. Argentina is ranked 66/197 by life expectancy, and the Congo is 168/197. In Argentina, the life expectancy is 75.3 years for males and 80.3 years for females. In the Congo, it's 64.7 years for males and 68.2 years for females.

Argentina vs Congo life expectancy at birth by year

Argentina
Male

Female
Congo
Male

Female
1x
Year Life expectancy, years
Argentina Congo
Average Male Female Average Male Female
2026 77.8 75.3 80.3 66.4 64.7 68.2
2025 77.7 75.1 80.2 66.2 64.5 67.9
2024 77.5 75 80 66 64.3 67.7
2023 77.4 74.8 79.9 65.8 64.1 67.5
2022 75.8 73.2 78.3 65 63.4 66.6
2021 73.9 71.1 76.9 64.2 62.7 65.8
2020 75.9 73 78.8 64.4 62.7 66.2
2019 76.8 74.2 79.4 63.2 61.7 64.6
2018 76.8 74 79.5 64.5 63 66
2017 76.5 73.8 79.2 64.2 62.7 65.7
2016 76.1 73 79.1 63.9 62.4 65.4
2015 76.6 73.4 79.8 63.7 62.2 65.1
2014 76.3 73.3 79.2 63.3 62 64.8
2013 75.8 73 78.6 63 61.6 64.4
2012 75.8 72.9 78.7 62.7 61.4 64
2011 76.1 72.7 79.4 62.3 61 63.6
2010 75.7 72.5 78.7 61.7 60.6 62.9
2009 75.6 72.4 78.6 61.2 60.1 62.3
2008 75.4 72.2 78.6 60.8 59.8 61.8
2007 74.8 71.6 77.9 60.1 59.1 60.9
2006 75.3 72 78.4 59.5 58.7 60.2
2005 75.2 71.8 78.6 58.7 58 59.4
2004 74.9 71.5 78.2 58 57.3 58.5
2003 74.3 70.8 77.8 57.1 56.5 57.7
2002 74.3 70.7 77.9 56.4 55.7 57.1
2001 74.2 70.6 77.6 55.9 55.3 56.4
2000 73.9 70.5 77.3 55.4 54.7 55.9
1999 73.7 70.3 77.1 54.4 53.5 55.4
1998 73.4 69.9 76.9 52.6 50.6 54.6
1997 73.4 70 76.8 48.6 44.1 53.8
1996 73.1 69.7 76.4 55.2 54.6 55.9
1995 72.9 69.5 76.2 55.5 54.8 56.1
1994 72.7 69.5 75.9 55.6 54.8 56.4
1993 72.3 68.9 75.7 56 55.2 56.8
1992 72.1 68.7 75.5 56.5 55.6 57.3
1991 72 68.7 75.3 56.8 55.8 57.7
1990 71.6 68.3 74.9 57.1 56 58
1989 71.5 68 75 57.3 56.2 58.3
1988 71.1 67.6 74.6 57.5 56.2 58.7
1987 70.7 67.3 74.2 57.6 56.1 59
1986 70.3 66.9 73.8 57.6 56 59.2
1985 69.9 66.5 73.4 57.6 55.9 59.3
1984 69.4 66.1 72.8 57.5 55.7 59.4
1983 69.3 66 72.7 57.4 55.5 59.4
1982 69 65.6 72.6 57.2 55.3 59.2
1981 68.9 65.5 72.4 57.1 55.1 59.1
1980 68.6 65.3 72 56.8 54.9 58.7
1979 68.4 65.1 72 56.5 54.6 58.4
1978 68 64.5 71.7 56.2 54.5 58
1977 67.6 63.9 71.6 56 54.2 57.8
1976 67 63.4 71 55.7 53.9 57.5
1975 67 63.4 70.9 55.4 53.7 57.2
1974 66.4 62.8 70.4 55.1 53.3 56.8
1973 66.2 62.7 70.1 54.7 53 56.5
1972 66 62.5 69.8 54.4 52.7 56.1
1971 65.6 62.2 69.4 54 52.3 55.7
1970 65.6 62.2 69.6 53.6 51.9 55.2
1969 65.1 61.6 69.1 53.1 51.5 54.8
1968 65.2 61.8 69.2 52.6 51 54.3
1967 65.5 62.1 69.3 51.9 50.4 53.5
1966 65.4 62.2 69.1 51.6 50 53.1
1965 65.1 61.8 68.8 51 49.5 52.6
1964 64.8 61.6 68.5 50.4 48.9 51.9
1963 64.9 61.6 68.6 49.7 48.3 51.2
1962 64.6 61.5 68.3 49 47.6 50.5
1961 64.6 61.5 68.2 48.4 46.9 49.8
1960 64.2 61.2 67.8 47.6 46.2 49.1
1959 64.1 61.2 67.4 46.8 45.4 48.2
1958 64.2 61.4 67.4 46 44.6 47.4
1957 63.2 60.5 66.5 45.1 43.8 46.5
1956 63.6 60.8 66.9 44.3 42.9 45.7
1955 62.7 59.9 66.1 43.4 42.1 44.8
1954 63.1 60.4 66.2 42.6 41.3 43.9
1953 62.5 59.7 65.8 41.9 40.6 43.2
1952 62.5 60 65.4 41.1 39.9 42.3
1951 61.7 59.2 64.7 40.3 39.1 41.6
1950 61.3 58.7 64.3 39.6 38.4 40.8

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

GeoRank.org/life-expectancy/argentina/congo | 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 54.8 in the Congo. People who reach age 60 can expect an additional 15 healthy years in Argentina and 11.5 in the Congo.

Argentina vs Congo 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 the Congo, 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 40.7 years

Mean expected age of death:
79.4 vs 70.7 years

Median expected age of death:
81.7 vs 73.1 years

Odds of living to

Target age Survival probability
Argentina Congo
Male Female Male Female
40 98.6% 99.1% 96.0% 96.7%
50 95.9% 97.2% 88.8% 91.1%
60 89.2% 92.9% 75.9% 81.3%
65 82.9% 88.9% 66.3% 73.7%
70 73.9% 83.2% 54.1% 63.3%
75 62.1% 75.1% 39.3% 49.3%
80 47.1% 63.5% 24.1% 32.8%
85 29.8% 46.8% 11.5% 16.9%
90 14.9% 27.5% 3.9% 6.0%
95 5.2% 11.3% 0.9% 1.3%
100 1.1% 2.8% 0.1% 0.1%

Life expectancy by current age

Argentina
Male

Female
Congo
Male

Female
1x
Current age, years Total life expectancy, years
Argentina Congo
Average Male Female Average Male Female
100 102.6 102.3 102.7 101.9 101.9 101.9
99 101.7 101.4 101.8 101 101 101
98 100.8 100.6 100.9 100.1 100.2 100.1
97 100 99.8 100.1 99.2 99.3 99.1
96 99.2 99 99.3 98.3 98.4 98.2
95 98.4 98.2 98.5 97.4 97.5 97.4
94 97.6 97.3 97.7 96.6 96.7 96.5
93 96.9 96.6 97 95.7 95.8 95.7
92 96.1 95.8 96.3 94.9 94.9 94.8
91 95.4 95 95.6 94 94.1 94
90 94.7 94.3 94.9 93.2 93.3 93.2
89 94 93.6 94.2 92.4 92.5 92.4
88 93.4 92.9 93.6 91.6 91.6 91.6
87 92.7 92.2 93 90.9 90.9 90.9
86 92.1 91.5 92.4 90.1 90.1 90.1
85 91.5 90.8 91.8 89.3 89.3 89.4
84 90.9 90.2 91.3 88.6 88.5 88.7
83 90.3 89.5 90.8 87.9 87.8 88
82 89.8 88.9 90.3 87.2 87.1 87.3
81 89.3 88.3 89.8 86.5 86.4 86.7
80 88.8 87.8 89.4 85.9 85.7 86
79 88.3 87.2 89 85.2 85 85.4
78 87.9 86.7 88.6 84.6 84.3 84.8
77 87.4 86.2 88.3 84 83.7 84.3
76 87 85.8 87.9 83.4 83.1 83.7
75 86.6 85.3 87.6 82.9 82.5 83.2
74 86.3 84.9 87.3 82.3 81.9 82.7
73 85.9 84.5 87 81.8 81.3 82.2
72 85.5 84.1 86.7 81.3 80.8 81.7
71 85.2 83.7 86.4 80.8 80.3 81.3
70 84.9 83.3 86.1 80.3 79.8 80.8
69 84.6 82.9 85.9 79.9 79.3 80.4
68 84.2 82.6 85.6 79.5 78.8 80
67 83.9 82.2 85.4 79.1 78.4 79.7
66 83.7 81.9 85.2 78.7 77.9 79.3
65 83.4 81.6 84.9 78.3 77.5 79
64 83.1 81.3 84.7 77.9 77.1 78.6
63 82.9 81 84.5 77.6 76.7 78.3
62 82.7 80.7 84.3 77.2 76.4 78
61 82.4 80.5 84.2 76.9 76 77.7
60 82.2 80.3 84 76.6 75.6 77.4
59 82 80 83.8 76.3 75.3 77.2
58 81.8 79.8 83.7 76 75 76.9
57 81.7 79.6 83.5 75.7 74.7 76.7
56 81.5 79.4 83.4 75.4 74.4 76.4
55 81.3 79.3 83.3 75.1 74.1 76.2
54 81.2 79.1 83.1 74.9 73.8 75.9
53 81.1 78.9 83 74.6 73.5 75.7
52 80.9 78.8 82.9 74.4 73.2 75.5
51 80.8 78.7 82.8 74.1 73 75.3
50 80.7 78.5 82.7 73.9 72.7 75.1
49 80.6 78.4 82.6 73.7 72.5 74.9
48 80.5 78.3 82.5 73.5 72.2 74.7
47 80.4 78.2 82.5 73.3 72 74.5
46 80.3 78.1 82.4 73.1 71.8 74.3
45 80.2 78 82.3 72.9 71.6 74.1
44 80.2 77.9 82.2 72.7 71.4 74
43 80.1 77.9 82.2 72.5 71.2 73.8
42 80 77.8 82.1 72.3 71 73.7
41 80 77.7 82.1 72.2 70.9 73.5
40 79.9 77.6 82 72 70.7 73.3
39 79.8 77.6 82 71.9 70.5 73.2
38 79.8 77.5 81.9 71.7 70.4 73.1
37 79.7 77.5 81.9 71.6 70.2 72.9
36 79.7 77.4 81.8 71.4 70.1 72.8
35 79.6 77.3 81.8 71.3 69.9 72.7
34 79.6 77.3 81.7 71.2 69.8 72.5
33 79.5 77.2 81.7 71 69.6 72.4
32 79.5 77.2 81.7 70.9 69.5 72.3
31 79.4 77.1 81.6 70.8 69.4 72.2
30 79.4 77 81.6 70.7 69.3 72.1
29 79.3 77 81.6 70.6 69.1 72
28 79.3 76.9 81.5 70.5 69 71.9
27 79.2 76.9 81.5 70.3 68.9 71.8
26 79.2 76.8 81.5 70.2 68.8 71.7
25 79.1 76.7 81.4 70.1 68.7 71.6
24 79.1 76.7 81.4 70.1 68.6 71.5
23 79.1 76.6 81.4 70 68.5 71.5
22 79 76.6 81.4 69.9 68.4 71.4
21 79 76.5 81.3 69.8 68.3 71.3
20 78.9 76.4 81.3 69.7 68.2 71.2
19 78.9 76.3 81.3 69.6 68.1 71.2
18 78.8 76.3 81.2 69.6 68 71.1
17 78.8 76.2 81.2 69.5 68 71.1
16 78.7 76.2 81.2 69.4 67.9 71
15 78.7 76.2 81.2 69.4 67.8 71
14 78.7 76.2 81.2 69.3 67.8 70.9
13 78.7 76.1 81.1 69.3 67.8 70.9
12 78.7 76.1 81.1 69.3 67.7 70.8
11 78.7 76.1 81.1 69.2 67.7 70.8
10 78.6 76.1 81.1 69.2 67.6 70.8
9 78.6 76.1 81.1 69.2 67.6 70.7
8 78.6 76.1 81.1 69.1 67.5 70.7
7 78.6 76.1 81.1 69.1 67.5 70.6
6 78.6 76.1 81.1 69 67.4 70.6
5 78.6 76 81.1 68.9 67.4 70.5
4 78.6 76 81 68.8 67.3 70.4
3 78.6 76 81 68.7 67.2 70.3
2 78.5 76 81 68.5 67 70.1
1 78.5 76 81 68.2 66.7 69.8
0 77.8 75.3 80.3 66.4 64.7 68.2

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

GeoRank.org/life-expectancy/argentina/congo | 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 70.7 in the Congo, rising to 83.4 and 78.3 at 65, and to 88.8 and 85.9 at 80 — higher than the 77.8 and 66.4 years calculated at birth.

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

Probability of surviving to a given age

Argentina
Male

Female
Congo
Male

Female
1x
Age Survival probability
Argentina Congo
Average Male Female Average Male Female
100 1.96% 1.06% 2.73% 0.12% 0.11% 0.13%
99 2.74% 1.52% 3.8% 0.19% 0.17% 0.22%
98 3.74% 2.11% 5.15% 0.3% 0.26% 0.35%
97 4.98% 2.88% 6.8% 0.46% 0.39% 0.54%
96 6.48% 3.84% 8.79% 0.69% 0.57% 0.82%
95 8.24% 5.01% 11.1% 1.01% 0.81% 1.2%
94 10.3% 6.42% 13.7% 1.43% 1.14% 1.72%
93 12.6% 8.07% 16.6% 1.98% 1.57% 2.4%
92 15.1% 9.97% 19.8% 2.68% 2.12% 3.27%
91 18% 12.1% 23.3% 3.55% 2.8% 4.34%
90 21% 14.5% 26.9% 4.63% 3.64% 5.65%
89 24.2% 17% 30.7% 5.9% 4.65% 7.2%
88 27.5% 19.8% 34.6% 7.39% 5.84% 9%
87 30.8% 22.7% 38.4% 9.11% 7.23% 11.1%
86 34.3% 25.8% 42.2% 11% 8.81% 13.3%
85 37.7% 29% 45.9% 13.2% 10.6% 15.9%
84 41.2% 32.3% 49.5% 15.5% 12.6% 18.6%
83 44.6% 35.7% 53% 18.1% 14.8% 21.5%
82 47.9% 39.2% 56.3% 20.7% 17.1% 24.5%
81 51.1% 42.5% 59.4% 23.5% 19.6% 27.5%
80 54.2% 45.8% 62.3% 26.4% 22.2% 30.7%
79 57.1% 49% 65% 29.3% 24.9% 33.8%
78 59.8% 52.1% 67.4% 32.3% 27.7% 37%
77 62.4% 55% 69.7% 35.3% 30.5% 40.1%
76 64.8% 57.7% 71.8% 38.2% 33.4% 43.2%
75 67.1% 60.4% 73.7% 41.2% 36.3% 46.2%
74 69.2% 62.9% 75.5% 44% 39.1% 49%
73 71.3% 65.3% 77.2% 46.8% 41.9% 51.8%
72 73.2% 67.5% 78.8% 49.5% 44.7% 54.4%
71 75% 69.7% 80.3% 52.1% 47.3% 56.9%
70 76.7% 71.8% 81.6% 54.5% 49.9% 59.3%
69 78.3% 73.8% 82.9% 56.9% 52.4% 61.5%
68 79.9% 75.7% 84.1% 59.1% 54.8% 63.5%
67 81.3% 77.4% 85.2% 61.2% 57% 65.5%
66 82.6% 79.1% 86.3% 63.2% 59.1% 67.3%
65 83.9% 80.6% 87.2% 65.1% 61.2% 69%
64 85.1% 82% 88.1% 66.9% 63.1% 70.6%
63 86.1% 83.4% 89% 68.5% 65% 72.1%
62 87.1% 84.6% 89.8% 70.1% 66.8% 73.6%
61 88.1% 85.7% 90.5% 71.6% 68.4% 74.9%
60 88.9% 86.7% 91.1% 73.1% 70% 76.1%
59 89.7% 87.7% 91.8% 74.4% 71.5% 77.3%
58 90.4% 88.5% 92.3% 75.6% 72.9% 78.4%
57 91.1% 89.3% 92.8% 76.8% 74.3% 79.4%
56 91.7% 90.1% 93.3% 77.9% 75.5% 80.4%
55 92.2% 90.7% 93.7% 79% 76.7% 81.3%
54 92.7% 91.3% 94.1% 80% 77.9% 82.2%
53 93.1% 91.9% 94.5% 81% 79% 83%
52 93.6% 92.4% 94.8% 81.9% 80% 83.8%
51 93.9% 92.8% 95.1% 82.8% 81% 84.6%
50 94.3% 93.2% 95.4% 83.6% 81.9% 85.3%
49 94.6% 93.6% 95.7% 84.3% 82.8% 86%
48 94.9% 93.9% 95.9% 85.1% 83.6% 86.6%
47 95.2% 94.3% 96.2% 85.7% 84.3% 87.2%
46 95.4% 94.6% 96.4% 86.4% 85% 87.8%
45 95.7% 94.8% 96.5% 87% 85.7% 88.3%
44 95.9% 95% 96.7% 87.6% 86.3% 88.8%
43 96.1% 95.3% 96.9% 88.1% 86.9% 89.3%
42 96.2% 95.5% 97% 88.6% 87.5% 89.7%
41 96.4% 95.7% 97.2% 89.1% 88% 90.2%
40 96.5% 95.8% 97.3% 89.5% 88.5% 90.6%
39 96.7% 96% 97.4% 90% 89% 91%
38 96.8% 96.2% 97.5% 90.4% 89.5% 91.4%
37 96.9% 96.3% 97.6% 90.8% 89.9% 91.7%
36 97.1% 96.5% 97.7% 91.1% 90.3% 92%
35 97.2% 96.6% 97.8% 91.5% 90.6% 92.4%
34 97.3% 96.7% 97.9% 91.8% 91% 92.6%
33 97.4% 96.9% 98% 92.1% 91.3% 92.9%
32 97.5% 97% 98% 92.4% 91.7% 93.2%
31 97.6% 97.1% 98.1% 92.7% 92% 93.4%
30 97.7% 97.2% 98.2% 93% 92.2% 93.7%
29 97.8% 97.3% 98.2% 93.2% 92.5% 93.9%
28 97.9% 97.5% 98.3% 93.4% 92.8% 94.1%
27 97.9% 97.6% 98.3% 93.7% 93% 94.3%
26 98% 97.7% 98.4% 93.9% 93.3% 94.5%
25 98.1% 97.8% 98.4% 94.1% 93.5% 94.7%
24 98.2% 97.9% 98.5% 94.3% 93.7% 94.9%
23 98.3% 98% 98.5% 94.5% 94% 95%
22 98.4% 98.2% 98.6% 94.7% 94.2% 95.2%
21 98.5% 98.3% 98.6% 94.8% 94.4% 95.3%
20 98.5% 98.4% 98.7% 95% 94.5% 95.4%
19 98.6% 98.5% 98.7% 95.1% 94.7% 95.6%
18 98.7% 98.6% 98.8% 95.3% 94.9% 95.7%
17 98.8% 98.7% 98.8% 95.4% 95% 95.8%
16 98.8% 98.8% 98.8% 95.5% 95.1% 95.9%
15 98.8% 98.8% 98.9% 95.6% 95.2% 95.9%
14 98.9% 98.9% 98.9% 95.7% 95.3% 96%
13 98.9% 98.9% 98.9% 95.7% 95.4% 96.1%
12 98.9% 98.9% 98.9% 95.8% 95.4% 96.1%
11 98.9% 98.9% 99% 95.8% 95.5% 96.2%
10 98.9% 98.9% 99% 95.9% 95.6% 96.2%
9 99% 98.9% 99% 96% 95.6% 96.3%
8 99% 99% 99% 96% 95.7% 96.4%
7 99% 99% 99% 96.1% 95.8% 96.4%
6 99% 99% 99% 96.2% 95.9% 96.5%
5 99% 99% 99% 96.3% 96% 96.6%
4 99% 99% 99.1% 96.4% 96.1% 96.8%
3 99.1% 99.1% 99.1% 96.6% 96.3% 96.9%
2 99.1% 99.1% 99.1% 96.9% 96.6% 97.2%
1 99.1% 99.1% 99.2% 97.3% 97% 97.7%

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

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

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 73.1% in the Congo are expected to live past 60, 76.7% and 54.5% past 70, 54.2% and 26.4% 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
Congo
Male

Female
1x
Age Probability of dying
Argentina Congo
Average Male Female Average Male Female
100 30.3% 31.7% 30% 39.6% 37.4% 41.1%
99 28.6% 30% 28.2% 38% 36.1% 39.4%
98 26.7% 28.3% 26.2% 36.2% 34.3% 37.4%
97 24.9% 26.6% 24.4% 34.6% 33.1% 35.6%
96 23.1% 25% 22.6% 33% 31.7% 33.8%
95 21.4% 23.4% 20.7% 31.3% 30.3% 32%
94 19.8% 21.9% 19% 29.6% 28.8% 30.1%
93 18.3% 20.5% 17.5% 27.9% 27.3% 28.2%
92 17% 19% 16.2% 26.2% 25.8% 26.5%
91 15.7% 17.6% 15% 24.5% 24.3% 24.7%
90 14.4% 16.3% 13.6% 23.2% 23.1% 23.2%
89 13.2% 15.1% 12.3% 21.6% 21.6% 21.5%
88 12% 13.9% 11.1% 20.2% 20.4% 20%
87 10.9% 12.9% 9.97% 18.8% 19.2% 18.6%
86 10% 12% 8.98% 17.6% 18% 17.2%
85 9.16% 11.1% 8.1% 16.3% 16.9% 15.9%
84 8.39% 10.3% 7.3% 15.1% 15.8% 14.6%
83 7.66% 9.51% 6.56% 13.9% 14.7% 13.4%
82 6.96% 8.73% 5.87% 12.9% 13.7% 12.3%
81 6.29% 7.95% 5.23% 11.8% 12.6% 11.2%
80 5.66% 7.2% 4.64% 11% 11.8% 10.3%
79 5.08% 6.49% 4.11% 9.99% 10.9% 9.34%
78 4.56% 5.85% 3.65% 9.21% 10.1% 8.55%
77 4.11% 5.28% 3.26% 8.41% 9.26% 7.75%
76 3.72% 4.78% 2.92% 7.74% 8.57% 7.08%
75 3.38% 4.36% 2.64% 7.11% 7.91% 6.46%
74 3.1% 3.99% 2.4% 6.5% 7.28% 5.86%
73 2.85% 3.67% 2.19% 5.94% 6.7% 5.32%
72 2.63% 3.39% 2% 5.43% 6.16% 4.84%
71 2.43% 3.13% 1.83% 4.91% 5.6% 4.34%
70 2.24% 2.9% 1.68% 4.54% 5.18% 3.99%
69 2.07% 2.68% 1.54% 4.1% 4.7% 3.58%
68 1.91% 2.47% 1.42% 3.76% 4.32% 3.27%
67 1.76% 2.28% 1.3% 3.44% 3.95% 2.97%
66 1.62% 2.08% 1.2% 3.14% 3.62% 2.7%
65 1.49% 1.9% 1.11% 2.9% 3.34% 2.49%
64 1.37% 1.74% 1.03% 2.67% 3.09% 2.28%
63 1.25% 1.58% 0.95% 2.46% 2.86% 2.09%
62 1.15% 1.44% 0.87% 2.28% 2.65% 1.93%
61 1.05% 1.31% 0.8% 2.08% 2.43% 1.76%
60 0.96% 1.19% 0.73% 1.95% 2.28% 1.65%
59 0.87% 1.08% 0.67% 1.78% 2.08% 1.5%
58 0.79% 0.98% 0.61% 1.66% 1.93% 1.4%
57 0.72% 0.89% 0.55% 1.54% 1.79% 1.3%
56 0.65% 0.8% 0.5% 1.44% 1.68% 1.22%
55 0.59% 0.73% 0.46% 1.35% 1.57% 1.14%
54 0.54% 0.66% 0.42% 1.27% 1.47% 1.07%
53 0.49% 0.59% 0.38% 1.19% 1.37% 1.01%
52 0.44% 0.54% 0.35% 1.12% 1.29% 0.95%
51 0.41% 0.49% 0.32% 1.04% 1.19% 0.88%
50 0.37% 0.45% 0.3% 0.98% 1.12% 0.84%
49 0.34% 0.41% 0.28% 0.91% 1.04% 0.78%
48 0.31% 0.37% 0.25% 0.85% 0.97% 0.73%
47 0.28% 0.33% 0.23% 0.79% 0.9% 0.68%
46 0.26% 0.3% 0.21% 0.74% 0.84% 0.64%
45 0.23% 0.27% 0.19% 0.7% 0.79% 0.61%
44 0.21% 0.25% 0.18% 0.65% 0.73% 0.57%
43 0.2% 0.23% 0.16% 0.61% 0.69% 0.54%
42 0.18% 0.21% 0.15% 0.58% 0.65% 0.51%
41 0.17% 0.2% 0.14% 0.54% 0.6% 0.48%
40 0.16% 0.18% 0.13% 0.52% 0.57% 0.46%
39 0.15% 0.18% 0.12% 0.48% 0.53% 0.43%
38 0.14% 0.17% 0.11% 0.45% 0.5% 0.41%
37 0.13% 0.16% 0.11% 0.43% 0.47% 0.38%
36 0.12% 0.15% 0.1% 0.4% 0.44% 0.36%
35 0.12% 0.14% 0.09% 0.38% 0.42% 0.34%
34 0.11% 0.14% 0.08% 0.36% 0.39% 0.32%
33 0.11% 0.13% 0.08% 0.33% 0.37% 0.3%
32 0.1% 0.13% 0.07% 0.32% 0.35% 0.29%
31 0.1% 0.12% 0.07% 0.3% 0.33% 0.27%
30 0.09% 0.12% 0.06% 0.28% 0.31% 0.26%
29 0.09% 0.12% 0.06% 0.27% 0.3% 0.24%
28 0.09% 0.12% 0.06% 0.26% 0.28% 0.23%
27 0.09% 0.12% 0.06% 0.24% 0.27% 0.21%
26 0.09% 0.12% 0.05% 0.23% 0.26% 0.2%
25 0.09% 0.12% 0.05% 0.22% 0.25% 0.19%
24 0.09% 0.12% 0.05% 0.21% 0.24% 0.18%
23 0.09% 0.12% 0.05% 0.2% 0.23% 0.17%
22 0.09% 0.12% 0.05% 0.19% 0.22% 0.16%
21 0.09% 0.13% 0.05% 0.18% 0.21% 0.15%
20 0.09% 0.12% 0.05% 0.17% 0.19% 0.14%
19 0.08% 0.12% 0.05% 0.15% 0.18% 0.13%
18 0.07% 0.1% 0.04% 0.14% 0.16% 0.12%
17 0.06% 0.08% 0.04% 0.12% 0.14% 0.1%
16 0.05% 0.06% 0.04% 0.11% 0.12% 0.09%
15 0.04% 0.05% 0.03% 0.09% 0.1% 0.08%
14 0.03% 0.03% 0.03% 0.08% 0.09% 0.07%
13 0.02% 0.02% 0.02% 0.07% 0.08% 0.07%
12 0.02% 0.02% 0.02% 0.07% 0.07% 0.06%
11 0.02% 0.02% 0.02% 0.06% 0.07% 0.06%
10 0.01% 0.01% 0.01% 0.06% 0.07% 0.06%
9 0.01% 0.01% 0.01% 0.07% 0.07% 0.06%
8 0.01% 0.01% 0.01% 0.07% 0.08% 0.07%
7 0.01% 0.02% 0.01% 0.08% 0.09% 0.07%
6 0.02% 0.02% 0.02% 0.09% 0.1% 0.09%
5 0.02% 0.02% 0.02% 0.11% 0.11% 0.1%
4 0.02% 0.02% 0.02% 0.14% 0.15% 0.14%
3 0.03% 0.03% 0.03% 0.19% 0.2% 0.19%
2 0.03% 0.03% 0.04% 0.28% 0.28% 0.28%
1 0.04% 0.04% 0.05% 0.44% 0.44% 0.45%
0 0.85% 0.88% 0.83% 2.67% 2.99% 2.35%

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

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

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

The annual chance of dying is 0.85% in the birth year in Argentina and 2.67% in the Congo, 0.09% vs 0.28% at age 30, 0.96% vs 1.95% at 60, and 5.66% vs 11% at 80.

Death rate by age in Argentina vs Congo

Argentina
Male

Female
Congo
Male

Female
1x
Age Death rate
Argentina Congo
Total Male Female Total Male Female
100 520 252.3 745 0 2.72 0
99 784 455 1,070 73.5 61.5 86.1
98 998 599 1,350 109.4 89.1 130.4
97 1,238 767 1,658 160.2 128.3 193.1
96 1,497 959 1,982 227.9 180.2 277
95 1,759 1,172 2,297 315 246.7 385
94 2,028 1,408 2,604 422 329 518
93 2,300 1,654 2,907 552 429 678
92 2,573 1,898 3,211 704 547 865
91 2,825 2,133 3,482 872 679 1,070
90 3,023 2,357 3,661 1,072 841 1,311
89 3,178 2,564 3,776 1,273 1,006 1,549
88 3,294 2,752 3,833 1,492 1,193 1,802
87 3,373 2,926 3,829 1,715 1,387 2,053
86 3,425 3,083 3,789 1,939 1,590 2,297
85 3,453 3,220 3,720 2,150 1,791 2,515
84 3,451 3,329 3,616 2,351 1,991 2,715
83 3,414 3,399 3,478 2,519 2,170 2,871
82 3,336 3,417 3,307 2,671 2,343 3,001
81 3,218 3,382 3,106 2,773 2,477 3,069
80 3,068 3,299 2,889 2,898 2,633 3,165
79 2,902 3,182 2,670 2,932 2,706 3,161
78 2,731 3,045 2,461 2,977 2,793 3,163
77 2,565 2,902 2,269 2,969 2,829 3,109
76 2,411 2,761 2,097 2,960 2,862 3,058
75 2,270 2,629 1,945 2,926 2,871 2,980
74 2,145 2,508 1,810 2,861 2,849 2,875
73 2,030 2,396 1,688 2,778 2,808 2,754
72 1,922 2,289 1,575 2,690 2,752 2,634
71 1,819 2,185 1,469 2,558 2,649 2,472
70 1,720 2,082 1,369 2,476 2,586 2,367
69 1,623 1,979 1,277 2,334 2,463 2,201
68 1,528 1,872 1,191 2,223 2,365 2,075
67 1,434 1,762 1,111 2,103 2,254 1,942
66 1,342 1,649 1,037 1,986 2,143 1,819
65 1,251 1,535 968 1,886 2,046 1,717
64 1,164 1,424 904 1,784 1,953 1,609
63 1,080 1,317 842 1,689 1,862 1,510
62 999 1,216 782 1,598 1,773 1,420
61 922 1,121 723 1,493 1,666 1,319
60 850 1,032 667 1,426 1,596 1,254
59 781 948 613 1,327 1,491 1,163
58 716 869 562 1,255 1,411 1,098
57 654 794 515 1,182 1,332 1,032
56 597 723 470 1,123 1,266 980
55 544 658 430 1,067 1,204 927
54 497 598 394 1,014 1,144 881
53 454 545 362 962 1,084 836
52 416 497 334 915 1,030 797
51 382 454 308 857 966 747
50 351 415 285.3 820 921 716
49 323 379 263.7 765 859 669
48 295.6 346 243.3 721 807 631
47 270.1 315 223.7 676 757 593
46 246.2 285.9 205.1 638 712 561
45 224.3 259.7 187.8 605 673 534
44 204.9 236.5 172.1 569 631 505
43 188.1 216.9 158.3 539 596 481
42 174.1 200.8 146.5 513 565 459
41 162.5 187.7 136.2 482 529 434
40 152.7 177.1 127.2 461 506 416
39 144 168 118.9 434 474 393
38 136.1 160 111.1 411 448 373
37 128.5 152.6 103.3 387 422 352
36 121.2 145.5 95.8 367 399 334
35 114.4 139 88.6 347 377 316
34 108.1 133 82 326 355 296.8
33 102.6 128 76.1 308 336 280.5
32 98.2 124.1 71.1 292.4 319 265.8
31 94.7 121.2 66.9 275.1 301 249.1
30 92 119.3 63.5 264.4 288.9 239.4
29 89.8 117.9 60.4 250.5 274.3 226.3
28 88 117 57.6 238.5 262.8 213.9
27 86.4 116.3 55.1 227.6 252.1 202.6
26 85.1 116 52.7 216.8 242.3 190.8
25 84.2 116.3 50.6 206.9 234.1 179.3
24 83.9 117.2 49 197.6 225.7 169
23 84.5 119.4 47.9 188.3 217.3 158.7
22 85.6 122 47.4 178.5 207.8 148.7
21 86.6 123.9 47.2 168 196.6 138.8
20 85.9 122.9 46.9 158 184.2 131.3
19 82 116.1 45.9 146.1 170.3 121.4
18 73.8 102.2 43.6 133.5 155.1 111.4
17 62.3 83.4 40 117.2 133.7 100.4
16 49.6 63.1 35.2 101.9 113.8 89.7
15 38.2 45.8 30.1 88 96.3 79.6
14 29.1 32.7 25.1 76.3 82.8 69.7
13 22.6 24.1 21 68.1 73.3 62.8
12 18.2 18.8 17.7 63 68 58
11 15.5 15.7 15.3 60.8 65.6 55.9
10 14 14.1 13.8 61 65.2 56.6
9 13.4 13.8 13 63.5 67.8 59.1
8 13.6 14.2 13.1 68.7 73.3 64
7 14.6 15.3 13.8 76.9 81.7 72
6 16.4 17.2 15.5 87.5 91.9 82.9
5 19 19.7 18.3 104 107.7 100.1
4 22.7 22.9 22.5 135.6 139.5 131.7
3 27.6 26.9 28.4 186.3 189.4 183.1
2 34.2 31.8 36.6 269.7 269.8 269.5
1 42.6 37.8 47.7 433 425 441
0 851 876 826 2,669 2,985 2,347

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

GeoRank.org/life-expectancy/argentina/congo | 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 78 in the Congo. The median age of death is 81.4 in Argentina and 71.8 in the Congo, 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 the Congo 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/congo | 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.