Skip to content

Life Expectancy in Argentina vs South Sudan (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 77.8 years in Argentina vs 58 in South Sudan. Argentina is ranked 66/197 by life expectancy, and South Sudan is 195/197. In Argentina, the life expectancy is 75.3 years for males and 80.3 years for females. In South Sudan, it's 55 years for males and 61 years for females.

Argentina vs South Sudan life expectancy at birth by year

Argentina
Male

Female
South Sudan
Male

Female
1x
Year Life expectancy, years
Argentina South Sudan
Average Male Female Average Male Female
2026 77.8 75.3 80.3 58 55 61
2025 77.7 75.1 80.2 57.9 54.9 60.9
2024 77.5 75 80 57.7 54.8 60.7
2023 77.4 74.8 79.9 57.6 54.6 60.6
2022 75.8 73.2 78.3 57.2 54.3 60.1
2021 73.9 71.1 76.9 57 54.4 59.7
2020 75.9 73 78.8 57.6 54.8 60.5
2019 76.8 74.2 79.4 58.1 55.7 60.5
2018 76.8 74 79.5 51.9 49.2 54.7
2017 76.5 73.8 79.2 35.4 32.4 38.7
2016 76.1 73 79.1 36.7 33.8 40
2015 76.6 73.4 79.8 39.8 36.9 42.9
2014 76.3 73.3 79.2 45.6 42.7 48.8
2013 75.8 73 78.6 58.3 56.8 59.7
2012 75.8 72.9 78.7 58.2 56.9 59.5
2011 76.1 72.7 79.4 57.7 56.3 59
2010 75.7 72.5 78.7 57.5 56.4 58.5
2009 75.6 72.4 78.6 56.8 55.8 57.8
2008 75.4 72.2 78.6 56.3 55.3 57.2
2007 74.8 71.6 77.9 55.4 54.6 56.2
2006 75.3 72 78.4 54.7 53.9 55.3
2005 75.2 71.8 78.6 54 53.4 54.5
2004 74.9 71.5 78.2 53.1 52.5 53.5
2003 74.3 70.8 77.8 52.3 51.8 52.8
2002 74.3 70.7 77.9 49.4 48.4 50.3
2001 74.2 70.6 77.6 48.6 47.5 49.5
2000 73.9 70.5 77.3 47.6 46.5 48.5
1999 73.7 70.3 77.1 44.5 43.2 45.8
1998 73.4 69.9 76.9 19 17.6 20.7
1997 73.4 70 76.8 33.1 30.9 35.3
1996 73.1 69.7 76.4 32.1 29.9 34.5
1995 72.9 69.5 76.2 31.5 29.2 34
1994 72.7 69.5 75.9 44.9 43.1 46.5
1993 72.3 68.9 75.7 22.3 20.1 24.8
1992 72.1 68.7 75.5 21.9 19.9 24.3
1991 72 68.7 75.3 29.2 26.9 31.7
1990 71.6 68.3 74.9 28.6 26.4 31
1989 71.5 68 75 28.2 26.1 30.5
1988 71.1 67.6 74.6 11 10.6 11.3
1987 70.7 67.3 74.2 20.7 18.9 22.9
1986 70.3 66.9 73.8 32.8 31.2 34.5
1985 69.9 66.5 73.4 32.4 30.8 33.9
1984 69.4 66.1 72.8 31.8 30.3 33.2
1983 69.3 66 72.7 34.7 33.7 35.8
1982 69 65.6 72.6 38.7 38.2 39.1
1981 68.9 65.5 72.4 38.3 37.8 38.8
1980 68.6 65.3 72 38 37.5 38.5
1979 68.4 65.1 72 37.8 37.1 38.4
1978 68 64.5 71.7 37.6 36.8 38.3
1977 67.6 63.9 71.6 37.4 36.5 38.3
1976 67 63.4 71 37.1 36.2 37.9
1975 67 63.4 70.9 36.9 35.9 37.8
1974 66.4 62.8 70.4 36.6 35.5 37.6
1973 66.2 62.7 70.1 36.3 35.1 37.4
1972 66 62.5 69.8 31.3 28.6 34.1
1971 65.6 62.2 69.4 31 28.3 33.9
1970 65.6 62.2 69.6 25.6 22.3 29.7
1969 65.1 61.6 69.1 25.4 22.1 29.5
1968 65.2 61.8 69.2 26.1 22.9 30.1
1967 65.5 62.1 69.3 25.9 22.7 29.9
1966 65.4 62.2 69.1 25.6 22.5 29.7
1965 65.1 61.8 68.8 28.8 25.9 32.2
1964 64.8 61.6 68.5 32.5 30.3 34.8
1963 64.9 61.6 68.6 28.2 25.4 31.8
1962 64.6 61.5 68.3 28.5 26.5 30.7
1961 64.6 61.5 68.2 28.3 26.2 30.6
1960 64.2 61.2 67.8 28.1 26 30.4
1959 64.1 61.2 67.4 27.8 25.8 30.2
1958 64.2 61.4 67.4 27.6 25.5 30
1957 63.2 60.5 66.5 30.9 28.8 33.3
1956 63.6 60.8 66.9 31.6 29.5 34.1
1955 62.7 59.9 66.1 32 30 34.3
1954 63.1 60.4 66.2 31.7 29.6 34.1
1953 62.5 59.7 65.8 31.4 29.3 33.8
1952 62.5 60 65.4 31 28.9 33.4
1951 61.7 59.2 64.7 30.6 28.5 33.2
1950 61.3 58.7 64.3 30.2 28.1 32.7

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

GeoRank.org/life-expectancy/argentina/south-sudan | 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 50.5 in South Sudan. People who reach age 60 can expect an additional 15 healthy years in Argentina and 11 in South Sudan.

Argentina vs South Sudan 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 South Sudan, 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 39.1 years

Mean expected age of death:
79.4 vs 69.1 years

Median expected age of death:
81.7 vs 72.1 years

Odds of living to

Target age Survival probability
Argentina South Sudan
Male Female Male Female
40 98.6% 99.1% 92.9% 95.3%
50 95.9% 97.2% 83.9% 89.1%
60 89.2% 92.9% 70.5% 79.4%
65 82.9% 88.9% 61.1% 71.8%
70 73.9% 83.2% 49.3% 61.2%
75 62.1% 75.1% 35.3% 47.2%
80 47.1% 63.5% 21.0% 31.1%
85 29.8% 46.8% 9.3% 15.8%
90 14.9% 27.5% 2.6% 5.6%
95 5.2% 11.3% 0.3% 1.2%
100 1.1% 2.8% 0.0% 0.1%

Life expectancy by current age

Argentina
Male

Female
South Sudan
Male

Female
1x
Current age, years Total life expectancy, years
Argentina South Sudan
Average Male Female Average Male Female
100 102.6 102.3 102.7 101.7 101.6 101.8
99 101.7 101.4 101.8 100.7 100.6 100.8
98 100.8 100.6 100.9 99.8 99.6 99.9
97 100 99.8 100.1 98.9 98.7 99
96 99.2 99 99.3 98.1 97.8 98.1
95 98.4 98.2 98.5 97.2 96.9 97.3
94 97.6 97.3 97.7 96.3 96 96.4
93 96.9 96.6 97 95.5 95.1 95.6
92 96.1 95.8 96.3 94.7 94.2 94.8
91 95.4 95 95.6 93.8 93.4 94
90 94.7 94.3 94.9 93 92.6 93.2
89 94 93.6 94.2 92.2 91.8 92.4
88 93.4 92.9 93.6 91.4 91 91.6
87 92.7 92.2 93 90.6 90.2 90.8
86 92.1 91.5 92.4 89.9 89.4 90.1
85 91.5 90.8 91.8 89.1 88.7 89.4
84 90.9 90.2 91.3 88.4 87.9 88.6
83 90.3 89.5 90.8 87.7 87.2 87.9
82 89.8 88.9 90.3 87 86.5 87.2
81 89.3 88.3 89.8 86.3 85.8 86.6
80 88.8 87.8 89.4 85.6 85.1 85.9
79 88.3 87.2 89 85 84.5 85.3
78 87.9 86.7 88.6 84.4 83.8 84.7
77 87.4 86.2 88.3 83.8 83.2 84.2
76 87 85.8 87.9 83.2 82.6 83.6
75 86.6 85.3 87.6 82.6 82 83.1
74 86.3 84.9 87.3 82.1 81.5 82.6
73 85.9 84.5 87 81.6 80.9 82.1
72 85.5 84.1 86.7 81.1 80.4 81.6
71 85.2 83.7 86.4 80.6 79.8 81.1
70 84.9 83.3 86.1 80.1 79.3 80.7
69 84.6 82.9 85.9 79.7 78.9 80.2
68 84.2 82.6 85.6 79.2 78.4 79.8
67 83.9 82.2 85.4 78.8 77.9 79.5
66 83.7 81.9 85.2 78.4 77.5 79.1
65 83.4 81.6 84.9 78 77.1 78.7
64 83.1 81.3 84.7 77.6 76.7 78.4
63 82.9 81 84.5 77.3 76.3 78.1
62 82.7 80.7 84.3 76.9 75.9 77.8
61 82.4 80.5 84.2 76.6 75.5 77.5
60 82.2 80.3 84 76.3 75.1 77.2
59 82 80 83.8 76 74.8 76.9
58 81.8 79.8 83.7 75.7 74.5 76.7
57 81.7 79.6 83.5 75.4 74.1 76.4
56 81.5 79.4 83.4 75.1 73.8 76.2
55 81.3 79.3 83.3 74.8 73.5 76
54 81.2 79.1 83.1 74.5 73.2 75.7
53 81.1 78.9 83 74.3 72.9 75.5
52 80.9 78.8 82.9 74 72.6 75.3
51 80.8 78.7 82.8 73.8 72.3 75.1
50 80.7 78.5 82.7 73.5 72 74.8
49 80.6 78.4 82.6 73.3 71.7 74.6
48 80.5 78.3 82.5 73 71.4 74.4
47 80.4 78.2 82.5 72.8 71.2 74.3
46 80.3 78.1 82.4 72.6 70.9 74.1
45 80.2 78 82.3 72.4 70.6 73.9
44 80.2 77.9 82.2 72.1 70.4 73.7
43 80.1 77.9 82.2 71.9 70.1 73.5
42 80 77.8 82.1 71.7 69.9 73.3
41 80 77.7 82.1 71.5 69.6 73.1
40 79.9 77.6 82 71.2 69.4 72.9
39 79.8 77.6 82 71 69.1 72.7
38 79.8 77.5 81.9 70.8 68.9 72.5
37 79.7 77.5 81.9 70.6 68.6 72.4
36 79.7 77.4 81.8 70.4 68.4 72.2
35 79.6 77.3 81.8 70.2 68.2 72
34 79.6 77.3 81.7 70 67.9 71.8
33 79.5 77.2 81.7 69.8 67.7 71.7
32 79.5 77.2 81.7 69.5 67.4 71.5
31 79.4 77.1 81.6 69.3 67.2 71.3
30 79.4 77 81.6 69.1 67 71.1
29 79.3 77 81.6 68.9 66.7 71
28 79.3 76.9 81.5 68.7 66.5 70.8
27 79.2 76.9 81.5 68.5 66.2 70.6
26 79.2 76.8 81.5 68.3 65.9 70.4
25 79.1 76.7 81.4 68 65.7 70.3
24 79.1 76.7 81.4 67.8 65.4 70.1
23 79.1 76.6 81.4 67.6 65.1 70
22 79 76.6 81.4 67.4 64.9 69.8
21 79 76.5 81.3 67.2 64.6 69.6
20 78.9 76.4 81.3 67 64.4 69.5
19 78.9 76.3 81.3 66.8 64.1 69.3
18 78.8 76.3 81.2 66.6 63.9 69.2
17 78.8 76.2 81.2 66.4 63.7 69
16 78.7 76.2 81.2 66.3 63.5 68.9
15 78.7 76.2 81.2 66.1 63.4 68.8
14 78.7 76.2 81.2 66 63.2 68.7
13 78.7 76.1 81.1 65.8 63.1 68.5
12 78.7 76.1 81.1 65.7 62.9 68.4
11 78.7 76.1 81.1 65.5 62.8 68.3
10 78.6 76.1 81.1 65.4 62.6 68.2
9 78.6 76.1 81.1 65.2 62.4 68
8 78.6 76.1 81.1 65 62.1 67.8
7 78.6 76.1 81.1 64.7 61.8 67.6
6 78.6 76.1 81.1 64.4 61.5 67.3
5 78.6 76 81.1 64 61.1 67
4 78.6 76 81 63.6 60.6 66.6
3 78.6 76 81 63.1 60.1 66.1
2 78.5 76 81 62.5 59.5 65.5
1 78.5 76 81 61.8 58.9 64.7
0 77.8 75.3 80.3 58 55 61

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

GeoRank.org/life-expectancy/argentina/south-sudan | 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 69.1 in South Sudan, rising to 83.4 and 78 at 65, and to 88.8 and 85.6 at 80 — higher than the 77.8 and 58 years calculated at birth.

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

Probability of surviving to a given age

Argentina
Male

Female
South Sudan
Male

Female
1x
Age Survival probability
Argentina South Sudan
Average Male Female Average Male Female
100 1.96% 1.06% 2.73% 0.06% 0.02% 0.1%
99 2.74% 1.52% 3.8% 0.1% 0.03% 0.17%
98 3.74% 2.11% 5.15% 0.17% 0.05% 0.28%
97 4.98% 2.88% 6.8% 0.27% 0.1% 0.44%
96 6.48% 3.84% 8.79% 0.43% 0.16% 0.67%
95 8.24% 5.01% 11.1% 0.64% 0.27% 1%
94 10.3% 6.42% 13.7% 0.94% 0.44% 1.44%
93 12.6% 8.07% 16.6% 1.35% 0.67% 2.01%
92 15.1% 9.97% 19.8% 1.87% 1% 2.73%
91 18% 12.1% 23.3% 2.54% 1.45% 3.62%
90 21% 14.5% 26.9% 3.37% 2.03% 4.7%
89 24.2% 17% 30.7% 4.38% 2.76% 5.98%
88 27.5% 19.8% 34.6% 5.58% 3.65% 7.47%
87 30.8% 22.7% 38.4% 6.96% 4.7% 9.18%
86 34.3% 25.8% 42.2% 8.54% 5.92% 11.1%
85 37.7% 29% 45.9% 10.3% 7.31% 13.2%
84 41.2% 32.3% 49.5% 12.3% 8.88% 15.6%
83 44.6% 35.7% 53% 14.4% 10.6% 18%
82 47.9% 39.2% 56.3% 16.6% 12.5% 20.6%
81 51.1% 42.5% 59.4% 18.9% 14.5% 23.3%
80 54.2% 45.8% 62.3% 21.3% 16.6% 26.1%
79 57.1% 49% 65% 23.8% 18.8% 28.8%
78 59.8% 52.1% 67.4% 26.3% 21% 31.6%
77 62.4% 55% 69.7% 28.8% 23.3% 34.3%
76 64.8% 57.7% 71.8% 31.3% 25.6% 36.9%
75 67.1% 60.4% 73.7% 33.7% 27.9% 39.6%
74 69.2% 62.9% 75.5% 36.2% 30.2% 42.1%
73 71.3% 65.3% 77.2% 38.5% 32.5% 44.6%
72 73.2% 67.5% 78.8% 40.8% 34.7% 46.9%
71 75% 69.7% 80.3% 43% 36.9% 49.2%
70 76.7% 71.8% 81.6% 45.1% 39% 51.3%
69 78.3% 73.8% 82.9% 47.1% 41% 53.3%
68 79.9% 75.7% 84.1% 49.1% 42.9% 55.2%
67 81.3% 77.4% 85.2% 50.9% 44.8% 57%
66 82.6% 79.1% 86.3% 52.6% 46.6% 58.7%
65 83.9% 80.6% 87.2% 54.2% 48.3% 60.2%
64 85.1% 82% 88.1% 55.8% 49.9% 61.7%
63 86.1% 83.4% 89% 57.3% 51.5% 63.1%
62 87.1% 84.6% 89.8% 58.6% 53% 64.3%
61 88.1% 85.7% 90.5% 59.9% 54.4% 65.5%
60 88.9% 86.7% 91.1% 61.1% 55.7% 66.6%
59 89.7% 87.7% 91.8% 62.3% 57% 67.6%
58 90.4% 88.5% 92.3% 63.3% 58.2% 68.6%
57 91.1% 89.3% 92.8% 64.4% 59.3% 69.5%
56 91.7% 90.1% 93.3% 65.3% 60.4% 70.3%
55 92.2% 90.7% 93.7% 66.3% 61.5% 71.1%
54 92.7% 91.3% 94.1% 67.2% 62.5% 71.9%
53 93.1% 91.9% 94.5% 68% 63.5% 72.7%
52 93.6% 92.4% 94.8% 68.9% 64.5% 73.4%
51 93.9% 92.8% 95.1% 69.7% 65.4% 74%
50 94.3% 93.2% 95.4% 70.4% 66.3% 74.7%
49 94.6% 93.6% 95.7% 71.1% 67.1% 75.3%
48 94.9% 93.9% 95.9% 71.8% 67.9% 75.8%
47 95.2% 94.3% 96.2% 72.5% 68.6% 76.4%
46 95.4% 94.6% 96.4% 73.1% 69.4% 76.9%
45 95.7% 94.8% 96.5% 73.7% 70.1% 77.4%
44 95.9% 95% 96.7% 74.3% 70.8% 77.9%
43 96.1% 95.3% 96.9% 74.9% 71.5% 78.4%
42 96.2% 95.5% 97% 75.5% 72.1% 78.9%
41 96.4% 95.7% 97.2% 76.1% 72.8% 79.4%
40 96.5% 95.8% 97.3% 76.6% 73.4% 79.9%
39 96.7% 96% 97.4% 77.1% 74% 80.3%
38 96.8% 96.2% 97.5% 77.6% 74.6% 80.8%
37 96.9% 96.3% 97.6% 78.1% 75.2% 81.2%
36 97.1% 96.5% 97.7% 78.6% 75.8% 81.6%
35 97.2% 96.6% 97.8% 79.1% 76.3% 82%
34 97.3% 96.7% 97.9% 79.6% 76.9% 82.4%
33 97.4% 96.9% 98% 80% 77.4% 82.7%
32 97.5% 97% 98% 80.5% 77.9% 83.1%
31 97.6% 97.1% 98.1% 80.9% 78.5% 83.5%
30 97.7% 97.2% 98.2% 81.4% 79% 83.8%
29 97.8% 97.3% 98.2% 81.8% 79.5% 84.2%
28 97.9% 97.5% 98.3% 82.2% 80.1% 84.5%
27 97.9% 97.6% 98.3% 82.7% 80.6% 84.9%
26 98% 97.7% 98.4% 83.1% 81.1% 85.2%
25 98.1% 97.8% 98.4% 83.5% 81.6% 85.5%
24 98.2% 97.9% 98.5% 84% 82.2% 85.8%
23 98.3% 98% 98.5% 84.4% 82.7% 86.1%
22 98.4% 98.2% 98.6% 84.8% 83.2% 86.4%
21 98.5% 98.3% 98.6% 85.2% 83.7% 86.7%
20 98.5% 98.4% 98.7% 85.6% 84.2% 87%
19 98.6% 98.5% 98.7% 85.9% 84.7% 87.2%
18 98.7% 98.6% 98.8% 86.2% 85.1% 87.5%
17 98.8% 98.7% 98.8% 86.5% 85.4% 87.7%
16 98.8% 98.8% 98.8% 86.8% 85.7% 87.9%
15 98.8% 98.8% 98.9% 87.1% 86% 88.2%
14 98.9% 98.9% 98.9% 87.3% 86.3% 88.4%
13 98.9% 98.9% 98.9% 87.5% 86.6% 88.5%
12 98.9% 98.9% 98.9% 87.8% 86.8% 88.7%
11 98.9% 98.9% 99% 88% 87.1% 88.9%
10 98.9% 98.9% 99% 88.3% 87.4% 89.1%
9 99% 98.9% 99% 88.6% 87.8% 89.4%
8 99% 99% 99% 88.9% 88.2% 89.7%
7 99% 99% 99% 89.3% 88.6% 90%
6 99% 99% 99% 89.8% 89.2% 90.4%
5 99% 99% 99% 90.3% 89.8% 90.9%
4 99% 99% 99.1% 91% 90.6% 91.5%
3 99.1% 99.1% 99.1% 91.8% 91.4% 92.2%
2 99.1% 99.1% 99.1% 92.7% 92.3% 93.1%
1 99.1% 99.1% 99.2% 93.8% 93.3% 94.2%

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

GeoRank.org/life-expectancy/argentina/south-sudan | CC BY

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 61.1% in South Sudan are expected to live past 60, 76.7% and 45.1% past 70, 54.2% and 21.3% past 80, and only 21% and 3.37% 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
South Sudan
Male

Female
1x
Age Probability of dying
Argentina South Sudan
Average Male Female Average Male Female
100 30.3% 31.7% 30% 45.7% 49.1% 43.1%
99 28.6% 30% 28.2% 43.7% 47.1% 41%
98 26.7% 28.3% 26.2% 40.5% 45.5% 39.1%
97 24.9% 26.6% 24.4% 37.7% 43.8% 37.1%
96 23.1% 25% 22.6% 35.6% 41.9% 35%
95 21.4% 23.4% 20.7% 33.8% 39.8% 32.8%
94 19.8% 21.9% 19% 31.9% 37.5% 30.6%
93 18.3% 20.5% 17.5% 30% 35.2% 28.4%
92 17% 19% 16.2% 28.1% 33% 26.4%
91 15.7% 17.6% 15% 26.3% 30.8% 24.6%
90 14.4% 16.3% 13.6% 24.6% 28.6% 22.9%
89 13.2% 15.1% 12.3% 23% 26.4% 21.4%
88 12% 13.9% 11.1% 21.4% 24.3% 20%
87 10.9% 12.9% 9.97% 19.9% 22.4% 18.6%
86 10% 12% 8.98% 18.5% 20.6% 17.4%
85 9.16% 11.1% 8.1% 17.1% 19% 16.1%
84 8.39% 10.3% 7.3% 15.9% 17.6% 14.9%
83 7.66% 9.51% 6.56% 14.6% 16.3% 13.7%
82 6.96% 8.73% 5.87% 13.5% 15% 12.6%
81 6.29% 7.95% 5.23% 12.4% 13.8% 11.5%
80 5.66% 7.2% 4.64% 11.3% 12.7% 10.5%
79 5.08% 6.49% 4.11% 10.4% 11.7% 9.54%
78 4.56% 5.85% 3.65% 9.47% 10.7% 8.69%
77 4.11% 5.28% 3.26% 8.67% 9.8% 7.92%
76 3.72% 4.78% 2.92% 7.94% 9% 7.23%
75 3.38% 4.36% 2.64% 7.29% 8.28% 6.61%
74 3.1% 3.99% 2.4% 6.69% 7.61% 6.05%
73 2.85% 3.67% 2.19% 6.14% 6.99% 5.52%
72 2.63% 3.39% 2% 5.62% 6.41% 5.03%
71 2.43% 3.13% 1.83% 5.13% 5.87% 4.58%
70 2.24% 2.9% 1.68% 4.68% 5.37% 4.16%
69 2.07% 2.68% 1.54% 4.26% 4.91% 3.77%
68 1.91% 2.47% 1.42% 3.9% 4.5% 3.43%
67 1.76% 2.28% 1.3% 3.57% 4.14% 3.12%
66 1.62% 2.08% 1.2% 3.28% 3.83% 2.84%
65 1.49% 1.9% 1.11% 3.02% 3.54% 2.6%
64 1.37% 1.74% 1.03% 2.78% 3.28% 2.37%
63 1.25% 1.58% 0.95% 2.56% 3.04% 2.17%
62 1.15% 1.44% 0.87% 2.35% 2.81% 1.97%
61 1.05% 1.31% 0.8% 2.16% 2.59% 1.8%
60 0.96% 1.19% 0.73% 1.98% 2.39% 1.64%
59 0.87% 1.08% 0.67% 1.82% 2.21% 1.5%
58 0.79% 0.98% 0.61% 1.69% 2.06% 1.39%
57 0.72% 0.89% 0.55% 1.58% 1.93% 1.29%
56 0.65% 0.8% 0.5% 1.49% 1.82% 1.21%
55 0.59% 0.73% 0.46% 1.42% 1.73% 1.15%
54 0.54% 0.66% 0.42% 1.35% 1.65% 1.09%
53 0.49% 0.59% 0.38% 1.28% 1.57% 1.03%
52 0.44% 0.54% 0.35% 1.21% 1.49% 0.97%
51 0.41% 0.49% 0.32% 1.14% 1.41% 0.91%
50 0.37% 0.45% 0.3% 1.07% 1.32% 0.85%
49 0.34% 0.41% 0.28% 1% 1.24% 0.79%
48 0.31% 0.37% 0.25% 0.95% 1.17% 0.75%
47 0.28% 0.33% 0.23% 0.9% 1.11% 0.71%
46 0.26% 0.3% 0.21% 0.86% 1.06% 0.69%
45 0.23% 0.27% 0.19% 0.84% 1.02% 0.67%
44 0.21% 0.25% 0.18% 0.81% 0.99% 0.66%
43 0.2% 0.23% 0.16% 0.79% 0.96% 0.64%
42 0.18% 0.21% 0.15% 0.77% 0.92% 0.63%
41 0.17% 0.2% 0.14% 0.74% 0.89% 0.61%
40 0.16% 0.18% 0.13% 0.71% 0.85% 0.58%
39 0.15% 0.18% 0.12% 0.68% 0.82% 0.56%
38 0.14% 0.17% 0.11% 0.65% 0.79% 0.53%
37 0.13% 0.16% 0.11% 0.63% 0.76% 0.51%
36 0.12% 0.15% 0.1% 0.61% 0.74% 0.49%
35 0.12% 0.14% 0.09% 0.6% 0.73% 0.48%
34 0.11% 0.14% 0.08% 0.59% 0.71% 0.47%
33 0.11% 0.13% 0.08% 0.58% 0.7% 0.46%
32 0.1% 0.13% 0.07% 0.57% 0.69% 0.45%
31 0.1% 0.12% 0.07% 0.56% 0.68% 0.44%
30 0.09% 0.12% 0.06% 0.55% 0.67% 0.43%
29 0.09% 0.12% 0.06% 0.54% 0.66% 0.42%
28 0.09% 0.12% 0.06% 0.53% 0.65% 0.41%
27 0.09% 0.12% 0.06% 0.52% 0.65% 0.39%
26 0.09% 0.12% 0.05% 0.52% 0.65% 0.38%
25 0.09% 0.12% 0.05% 0.51% 0.65% 0.37%
24 0.09% 0.12% 0.05% 0.51% 0.65% 0.36%
23 0.09% 0.12% 0.05% 0.5% 0.65% 0.35%
22 0.09% 0.12% 0.05% 0.49% 0.63% 0.34%
21 0.09% 0.13% 0.05% 0.47% 0.61% 0.33%
20 0.09% 0.12% 0.05% 0.44% 0.57% 0.32%
19 0.08% 0.12% 0.05% 0.41% 0.52% 0.3%
18 0.07% 0.1% 0.04% 0.38% 0.47% 0.29%
17 0.06% 0.08% 0.04% 0.35% 0.42% 0.27%
16 0.05% 0.06% 0.04% 0.32% 0.37% 0.26%
15 0.04% 0.05% 0.03% 0.29% 0.34% 0.24%
14 0.03% 0.03% 0.03% 0.27% 0.31% 0.22%
13 0.02% 0.02% 0.02% 0.26% 0.3% 0.22%
12 0.02% 0.02% 0.02% 0.26% 0.3% 0.22%
11 0.02% 0.02% 0.02% 0.27% 0.32% 0.22%
10 0.01% 0.01% 0.01% 0.3% 0.35% 0.24%
9 0.01% 0.01% 0.01% 0.34% 0.4% 0.27%
8 0.01% 0.01% 0.01% 0.39% 0.47% 0.31%
7 0.01% 0.02% 0.01% 0.45% 0.54% 0.36%
6 0.02% 0.02% 0.02% 0.53% 0.63% 0.43%
5 0.02% 0.02% 0.02% 0.62% 0.71% 0.53%
4 0.02% 0.02% 0.02% 0.73% 0.8% 0.65%
3 0.03% 0.03% 0.03% 0.85% 0.9% 0.8%
2 0.03% 0.03% 0.04% 0.99% 0.99% 0.98%
1 0.04% 0.04% 0.05% 1.16% 1.1% 1.22%
0 0.85% 0.88% 0.83% 6.22% 6.67% 5.75%

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

GeoRank.org/life-expectancy/argentina/south-sudan | CC BY

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

The annual chance of dying is 0.85% in the birth year in Argentina and 6.22% in South Sudan, 0.09% vs 0.55% at age 30, 0.96% vs 1.98% at 60, and 5.66% vs 11.3% at 80.

Death rate by age in Argentina vs South Sudan

Argentina
Male

Female
South Sudan
Male

Female
1x
Age Death rate
Argentina South Sudan
Total Male Female Total Male Female
100 520 252.3 745 0 0 0
99 784 455 1,070 44.4 13.7 68.6
98 998 599 1,350 69.1 24.4 107.5
97 1,238 767 1,658 103.4 41.7 162.1
96 1,497 959 1,982 151.7 68.7 235
95 1,759 1,172 2,297 217.2 108.2 328
94 2,028 1,408 2,604 301 163.5 440
93 2,300 1,654 2,907 404 237 571
92 2,573 1,898 3,211 527 331 722
91 2,825 2,133 3,482 670 447 890
90 3,023 2,357 3,661 831 582 1,077
89 3,178 2,564 3,776 1,007 729 1,279
88 3,294 2,752 3,833 1,193 887 1,492
87 3,373 2,926 3,829 1,386 1,052 1,712
86 3,425 3,083 3,789 1,579 1,221 1,929
85 3,453 3,220 3,720 1,767 1,392 2,135
84 3,451 3,329 3,616 1,944 1,562 2,321
83 3,414 3,399 3,478 2,103 1,725 2,478
82 3,336 3,417 3,307 2,237 1,874 2,600
81 3,218 3,382 3,106 2,342 2,003 2,685
80 3,068 3,299 2,889 2,417 2,108 2,734
79 2,902 3,182 2,670 2,465 2,188 2,750
78 2,731 3,045 2,461 2,490 2,246 2,742
77 2,565 2,902 2,269 2,497 2,284 2,714
76 2,411 2,761 2,097 2,485 2,305 2,672
75 2,270 2,629 1,945 2,459 2,311 2,615
74 2,145 2,508 1,810 2,419 2,300 2,546
73 2,030 2,396 1,688 2,364 2,272 2,461
72 1,922 2,289 1,575 2,292 2,226 2,363
71 1,819 2,185 1,469 2,207 2,164 2,252
70 1,720 2,082 1,369 2,111 2,091 2,133
69 1,623 1,979 1,277 2,011 2,013 2,011
68 1,528 1,872 1,191 1,911 1,933 1,891
67 1,434 1,762 1,111 1,815 1,855 1,777
66 1,342 1,649 1,037 1,724 1,782 1,668
65 1,251 1,535 968 1,636 1,710 1,565
64 1,164 1,424 904 1,551 1,639 1,464
63 1,080 1,317 842 1,465 1,565 1,366
62 999 1,216 782 1,378 1,488 1,270
61 922 1,121 723 1,292 1,409 1,178
60 850 1,032 667 1,210 1,332 1,092
59 781 948 613 1,136 1,260 1,015
58 716 869 562 1,072 1,197 950
57 654 794 515 1,018 1,145 896
56 597 723 470 976 1,102 853
55 544 658 430 939 1,066 816
54 497 598 394 906 1,033 782
53 454 545 362 872 999 748
52 416 497 334 835 961 711
51 382 454 308 795 919 672
50 351 415 285.3 753 875 633
49 323 379 263.7 713 832 596
48 295.6 346 243.3 679 794 566
47 270.1 315 223.7 651 762 543
46 246.2 285.9 205.1 631 737 528
45 224.3 259.7 187.8 616 717 519
44 204.9 236.5 172.1 604 700 512
43 188.1 216.9 158.3 593 685 506
42 174.1 200.8 146.5 580 667 496
41 162.5 187.7 136.2 564 648 483
40 152.7 177.1 127.2 545 628 467
39 144 168 118.9 526 608 449
38 136.1 160 111.1 508 590 431
37 128.5 152.6 103.3 493 575 415
36 121.2 145.5 95.8 481 563 402
35 114.4 139 88.6 473 555 392
34 108.1 133 82 466 549 384
33 102.6 128 76.1 461 544 377
32 98.2 124.1 71.1 456 538 372
31 94.7 121.2 66.9 451 533 366
30 92 119.3 63.5 446 527 359
29 89.8 117.9 60.4 440 523 352
28 88 117 57.6 436 522 344
27 86.4 116.3 55.1 432 523 335
26 85.1 116 52.7 429 527 325
25 84.2 116.3 50.6 427 532 316
24 83.9 117.2 49 424 536 307
23 84.5 119.4 47.9 420 535 298.4
22 85.6 122 47.4 412 527 290.7
21 86.6 123.9 47.2 398 508 283.3
20 85.9 122.9 46.9 379 478 275.1
19 82 116.1 45.9 354 439 265.4
18 73.8 102.2 43.6 327 397 253.5
17 62.3 83.4 40 299.3 357 239.3
16 49.6 63.1 35.2 273.6 321 224.4
15 38.2 45.8 30.1 251.3 290.8 210.1
14 29.1 32.7 25.1 235.1 270 198.7
13 22.6 24.1 21 226.8 260.1 192
12 18.2 18.8 17.7 227.9 262.8 191.3
11 15.5 15.7 15.3 239.4 279 198.2
10 14 14.1 13.8 262 309 213.5
9 13.4 13.8 13 296.8 353 238.8
8 13.6 14.2 13.1 344 411 275.7
7 14.6 15.3 13.8 404 480 326
6 16.4 17.2 15.5 477 558 393
5 19 19.7 18.3 561 641 479
4 22.7 22.9 22.5 660 727 591
3 27.6 26.9 28.4 776 818 733
2 34.2 31.8 36.6 915 916 915
1 42.6 37.8 47.7 1,086 1,027 1,147
0 851 876 826 6,215 6,667 5,754

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

GeoRank.org/life-expectancy/argentina/south-sudan | 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 South Sudan. The median age of death is 81.4 in Argentina and 67.5 in South Sudan, 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 South Sudan 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/south-sudan | 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.