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Life Expectancy in Hungary vs Ivory Coast (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 77.5 years in Hungary vs 62.4 in Ivory Coast. Hungary is ranked 69/197 by life expectancy, and Ivory Coast is 184/197. In Hungary, the life expectancy is 74.3 years for males and 80.6 years for females. In Ivory Coast, it's 60.5 years for males and 64.7 years for females.

Hungary vs Ivory Coast life expectancy at birth by year

Hungary
Male

Female
Ivory Coast
Male

Female
1x
Year Life expectancy, years
Hungary Ivory Coast
Average Male Female Average Male Female
2026 77.5 74.3 80.6 62.4 60.5 64.7
2025 77.3 74.1 80.5 62.3 60.3 64.5
2024 77.2 73.9 80.3 62.1 60.2 64.3
2023 77 73.7 80.2 61.9 60 64.1
2022 76.2 72.8 79.5 61.6 59.6 63.7
2021 74.2 70.8 77.6 60.3 58.5 62.3
2020 75.7 72.3 79 60.1 58.2 62.3
2019 76.5 73.1 79.7 60.3 58.5 62.3
2018 76.2 72.7 79.5 59.8 58.1 61.8
2017 76 72.6 79.3 59.3 57.6 61.2
2016 76.2 72.6 79.6 58.8 57.2 60.7
2015 75.7 72.2 78.9 58.3 56.7 60
2014 75.8 72.3 79.2 57.8 56.3 59.5
2013 75.7 72.1 79 57.1 55.5 58.9
2012 75.2 71.6 78.6 56.6 55 58.3
2011 74.9 71.1 78.5 56 54.4 57.7
2010 74.5 70.6 78.3 55.3 53.8 56.9
2009 74.2 70.1 78.1 54.7 53.3 56.3
2008 74 69.8 78 54.2 52.9 55.6
2007 73.4 69.3 77.5 53.5 52.4 54.6
2006 73.3 69.1 77.5 52.9 51.9 54
2005 72.9 68.6 77.1 52.4 51.4 53.6
2004 72.9 68.7 77.1 51.9 51 53
2003 72.5 68.3 76.7 51.4 50.6 52.4
2002 72.5 68.3 76.7 51.5 50.6 52.5
2001 72.4 68.2 76.6 51.4 50.4 52.5
2000 71.8 67.5 76 51.4 50.3 52.5
1999 71 66.7 75.5 51.3 50.2 52.4
1998 70.9 66.4 75.5 51.2 50.1 52.4
1997 71 66.6 75.5 51.5 50.1 53
1996 70.6 66.3 75 51.6 50.1 53.2
1995 70 65.4 74.7 51.7 50.1 53.5
1994 69.6 65 74.5 52 50.3 53.9
1993 69.2 64.7 74 52.2 50.4 54.3
1992 69.2 64.7 73.9 52.4 50.5 54.6
1991 69.4 65.1 74 52.6 50.6 54.9
1990 69.4 65.1 73.8 52.8 50.7 55.2
1989 69.4 65.2 73.7 53 50.8 55.5
1988 69.9 66 74 53.1 50.8 55.6
1987 69.6 65.6 73.7 53.1 50.9 55.7
1986 69.1 65.2 73.2 53 50.7 55.6
1985 68.9 65 73 52.9 50.6 55.5
1984 69 65 73.1 52.6 50.4 55.3
1983 68.9 65.1 73 52.4 50.1 55
1982 69.4 65.6 73.2 52.1 49.9 54.7
1981 69.2 65.5 72.9 51.8 49.6 54.3
1980 69.1 65.5 72.8 51.4 49.4 53.8
1979 69.7 66.2 73.2 51 49 53.2
1978 69.5 66.2 72.8 50.4 48.4 52.6
1977 69.9 66.8 73.1 49.6 47.7 51.8
1976 69.7 66.7 72.6 48.9 47 51
1975 69.4 66.3 72.5 48 46.2 50.1
1974 69.3 66.3 72.2 47.2 45.4 49.3
1973 69.6 66.6 72.5 46.4 44.5 48.4
1972 69.7 66.8 72.6 45.6 43.8 47.6
1971 69.1 66.1 72.1 44.8 42.9 46.8
1970 69.2 66.3 72.1 44 42.2 46.1
1969 69.4 66.7 72 43.3 41.5 45.4
1968 69.3 66.7 72 42.6 40.7 44.8
1967 69.5 66.8 72 42 40 44.1
1966 69.9 67.5 72.2 41.3 39.3 43.5
1965 69.1 66.7 71.5 40.6 38.7 42.8
1964 69.5 67 71.9 40 38 42.1
1963 68.9 66.6 71.2 39.3 37.3 41.5
1962 67.9 65.7 70.1 38.6 36.6 40.8
1961 69 66.8 71.2 37.9 35.9 40.1
1960 68.1 65.9 70.2 37.2 35.2 39.4
1959 67.3 65.1 69.5 36.5 34.5 38.7
1958 67.4 65.3 69.5 35.8 33.8 38
1957 66.3 64.1 68.5 35.2 33.1 37.4
1956 66 63.5 68.4 34.5 32.3 36.8
1955 66.9 64.9 68.8 33.8 31.6 36.2
1954 65.4 63.5 67.3 33.2 30.9 35.6
1953 63.9 61.8 65.9 32.5 30.2 35.1
1952 63.9 61.6 66.2 32 29.6 34.6
1951 62.5 60.2 64.8 31.4 29 34
1950 62.1 59.9 64.3 30.8 28.4 33.6

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

GeoRank.org/life-expectancy/hungary/ivory-coast | 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 Hungary and 55.4 in Ivory Coast. People who reach age 60 can expect an additional 14 healthy years in Hungary and 12.7 in Ivory Coast.

Hungary vs Ivory Coast 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 Hungary and Ivory Coast, 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:
48.1 vs 39.1 years

Mean expected age of death:
78.1 vs 69.1 years

Median expected age of death:
80.6 vs 71.0 years

Odds of living to

Target age Survival probability
Hungary Ivory Coast
Male Female Male Female
40 99.0% 99.5% 94.8% 95.7%
50 95.9% 98.0% 86.2% 88.6%
60 85.7% 93.2% 71.7% 76.8%
65 77.0% 88.9% 61.3% 68.0%
70 66.5% 83.0% 49.0% 57.0%
75 54.5% 74.9% 35.3% 44.4%
80 40.4% 62.5% 22.0% 31.0%
85 24.9% 44.0% 10.9% 17.8%
90 11.6% 23.4% 3.8% 7.2%
95 3.3% 7.8% 0.9% 1.8%
100 0.5% 1.3% 0.1% 0.2%

Life expectancy by current age

Hungary
Male

Female
Ivory Coast
Male

Female
1x
Current age, years Total life expectancy, years
Hungary Ivory Coast
Average Male Female Average Male Female
100 102.1 102 102.2 102 101.9 102
99 101.2 101.1 101.3 101 101 101.1
98 100.3 100.2 100.4 100.1 100.1 100.2
97 99.5 99.4 99.5 99.3 99.2 99.3
96 98.6 98.5 98.7 98.4 98.4 98.4
95 97.8 97.7 97.9 97.5 97.5 97.5
94 97 96.9 97.1 96.7 96.6 96.7
93 96.3 96.1 96.3 95.8 95.8 95.9
92 95.5 95.3 95.6 95 94.9 95
91 94.8 94.5 94.8 94.2 94.1 94.2
90 94 93.8 94.1 93.4 93.3 93.5
89 93.4 93.1 93.5 92.6 92.5 92.7
88 92.7 92.4 92.8 91.8 91.7 91.9
87 92.1 91.7 92.2 91.1 90.9 91.2
86 91.4 91 91.6 90.3 90.1 90.5
85 90.8 90.4 91 89.6 89.4 89.8
84 90.2 89.7 90.5 88.9 88.6 89.1
83 89.7 89.1 89.9 88.2 87.9 88.5
82 89.1 88.5 89.4 87.6 87.2 87.9
81 88.6 87.9 89 86.9 86.5 87.3
80 88.1 87.4 88.5 86.3 85.8 86.7
79 87.7 86.8 88.1 85.7 85.2 86.1
78 87.2 86.3 87.7 85.1 84.5 85.6
77 86.8 85.8 87.4 84.5 83.9 85
76 86.4 85.3 87 83.9 83.3 84.5
75 86 84.8 86.7 83.3 82.7 83.9
74 85.6 84.4 86.4 82.7 82.1 83.4
73 85.3 83.9 86.1 82.2 81.5 82.9
72 84.9 83.5 85.9 81.6 80.9 82.4
71 84.6 83 85.6 81.1 80.4 81.9
70 84.2 82.6 85.4 80.6 79.8 81.4
69 83.9 82.2 85.1 80.1 79.3 80.9
68 83.6 81.8 84.9 79.6 78.8 80.5
67 83.2 81.4 84.6 79.1 78.3 80
66 82.9 81 84.4 78.7 77.8 79.6
65 82.6 80.5 84.2 78.2 77.4 79.2
64 82.3 80.1 84 77.8 76.9 78.7
63 82 79.8 83.8 77.4 76.5 78.4
62 81.7 79.4 83.6 77 76 78
61 81.4 79.1 83.4 76.6 75.6 77.6
60 81.2 78.7 83.2 76.2 75.2 77.3
59 80.9 78.4 83 75.8 74.8 76.9
58 80.7 78.1 82.8 75.5 74.5 76.6
57 80.4 77.8 82.7 75.1 74.1 76.3
56 80.2 77.5 82.5 74.8 73.8 76
55 80 77.3 82.4 74.5 73.4 75.7
54 79.8 77.1 82.3 74.2 73.1 75.4
53 79.6 76.8 82.2 73.9 72.8 75.1
52 79.5 76.6 82 73.6 72.5 74.9
51 79.3 76.5 82 73.3 72.2 74.6
50 79.2 76.3 81.9 73 71.9 74.4
49 79.1 76.1 81.8 72.8 71.6 74.1
48 79 76 81.7 72.5 71.3 73.9
47 78.9 75.9 81.6 72.3 71.1 73.6
46 78.8 75.8 81.6 72 70.8 73.4
45 78.7 75.7 81.5 71.8 70.6 73.2
44 78.6 75.6 81.5 71.6 70.4 73
43 78.6 75.5 81.4 71.4 70.1 72.8
42 78.5 75.5 81.4 71.1 69.9 72.6
41 78.5 75.4 81.3 70.9 69.7 72.4
40 78.4 75.4 81.3 70.7 69.5 72.2
39 78.4 75.3 81.3 70.5 69.3 72
38 78.3 75.3 81.3 70.4 69.1 71.8
37 78.3 75.2 81.2 70.2 68.9 71.7
36 78.3 75.2 81.2 70 68.7 71.5
35 78.2 75.1 81.2 69.8 68.5 71.3
34 78.2 75.1 81.1 69.7 68.4 71.2
33 78.2 75.1 81.1 69.5 68.2 71
32 78.1 75 81.1 69.4 68 70.9
31 78.1 75 81.1 69.2 67.9 70.7
30 78.1 75 81.1 69.1 67.7 70.6
29 78.1 74.9 81.1 68.9 67.6 70.5
28 78 74.9 81 68.8 67.4 70.3
27 78 74.9 81 68.6 67.3 70.2
26 78 74.8 81 68.5 67.1 70.1
25 78 74.8 81 68.4 67 70
24 78 74.8 81 68.2 66.8 69.9
23 77.9 74.8 81 68.1 66.7 69.8
22 77.9 74.7 81 68 66.6 69.7
21 77.9 74.7 81 67.9 66.4 69.6
20 77.9 74.7 81 67.8 66.3 69.5
19 77.9 74.7 80.9 67.7 66.2 69.4
18 77.8 74.6 80.9 67.6 66.1 69.3
17 77.8 74.6 80.9 67.5 66 69.2
16 77.8 74.6 80.9 67.4 65.9 69.1
15 77.8 74.6 80.9 67.3 65.8 69.1
14 77.8 74.6 80.9 67.3 65.8 69
13 77.8 74.6 80.9 67.2 65.7 69
12 77.8 74.6 80.9 67.2 65.7 68.9
11 77.8 74.6 80.9 67.1 65.6 68.9
10 77.8 74.6 80.9 67.1 65.5 68.8
9 77.8 74.5 80.9 67 65.5 68.8
8 77.8 74.5 80.9 66.9 65.4 68.7
7 77.8 74.5 80.9 66.9 65.3 68.7
6 77.8 74.5 80.9 66.8 65.2 68.6
5 77.8 74.5 80.9 66.7 65.1 68.5
4 77.7 74.5 80.9 66.6 65 68.4
3 77.7 74.5 80.8 66.4 64.8 68.2
2 77.7 74.5 80.8 66.1 64.5 67.9
1 77.7 74.5 80.8 65.7 64 67.5
0 77.5 74.3 80.6 62.4 60.5 64.7

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

GeoRank.org/life-expectancy/hungary/ivory-coast | 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 Hungary can expect to live to 78.1 years compared to 69.1 in Ivory Coast, rising to 82.6 and 78.2 at 65, and to 88.1 and 86.3 at 80 — higher than the 77.5 and 62.4 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Hungary and Ivory Coast.

Probability of surviving to a given age

Hungary
Male

Female
Ivory Coast
Male

Female
1x
Age Survival probability
Hungary Ivory Coast
Average Male Female Average Male Female
100 0.94% 0.51% 1.3% 0.15% 0.1% 0.21%
99 1.43% 0.79% 1.99% 0.23% 0.15% 0.33%
98 2.12% 1.18% 2.92% 0.36% 0.23% 0.51%
97 3.03% 1.71% 4.17% 0.54% 0.35% 0.77%
96 4.21% 2.42% 5.76% 0.79% 0.52% 1.13%
95 5.67% 3.31% 7.72% 1.13% 0.75% 1.61%
94 7.46% 4.44% 10.1% 1.58% 1.05% 2.23%
93 9.59% 5.84% 12.9% 2.15% 1.45% 3.02%
92 12% 7.51% 16% 2.86% 1.95% 3.98%
91 14.8% 9.39% 19.5% 3.72% 2.57% 5.14%
90 17.7% 11.5% 23.2% 4.76% 3.34% 6.51%
89 20.8% 13.8% 27.2% 5.96% 4.25% 8.06%
88 24.1% 16.3% 31.2% 7.34% 5.32% 9.82%
87 27.5% 18.9% 35.4% 8.89% 6.56% 11.8%
86 31% 21.7% 39.6% 10.6% 7.97% 13.8%
85 34.6% 24.6% 43.7% 12.5% 9.53% 16.1%
84 38.1% 27.6% 47.8% 14.5% 11.2% 18.4%
83 41.6% 30.7% 51.7% 16.6% 13.1% 20.8%
82 44.9% 33.7% 55.4% 18.7% 15.1% 23.2%
81 48.2% 36.8% 58.9% 20.9% 17.1% 25.6%
80 51.3% 39.9% 62.1% 23.2% 19.3% 28%
79 54.3% 42.9% 65% 25.5% 21.5% 30.4%
78 57% 45.7% 67.7% 27.9% 23.8% 32.8%
77 59.6% 48.6% 70.1% 30.3% 26.2% 35.3%
76 62.1% 51.3% 72.4% 32.7% 28.6% 37.7%
75 64.4% 53.9% 74.4% 35.1% 31% 40.1%
74 66.5% 56.4% 76.3% 37.5% 33.4% 42.5%
73 68.6% 58.9% 78% 39.9% 35.8% 44.8%
72 70.5% 61.2% 79.6% 42.3% 38.3% 47.1%
71 72.4% 63.5% 81.1% 44.6% 40.6% 49.3%
70 74.2% 65.8% 82.5% 46.9% 42.9% 51.5%
69 75.9% 67.9% 83.8% 49.1% 45.2% 53.6%
68 77.5% 70.1% 85% 51.2% 47.4% 55.6%
67 79.2% 72.1% 86.2% 53.3% 49.6% 57.6%
66 80.7% 74.1% 87.3% 55.4% 51.7% 59.6%
65 82.2% 76.1% 88.3% 57.3% 53.8% 61.4%
64 83.6% 78.1% 89.3% 59.2% 55.8% 63.2%
63 85% 79.9% 90.2% 61% 57.7% 64.9%
62 86.3% 81.6% 91% 62.8% 59.5% 66.5%
61 87.5% 83.2% 91.8% 64.4% 61.2% 68%
60 88.6% 84.8% 92.6% 65.9% 62.9% 69.4%
59 89.7% 86.2% 93.3% 67.4% 64.4% 70.7%
58 90.6% 87.5% 93.9% 68.8% 65.9% 72%
57 91.6% 88.8% 94.5% 70.1% 67.3% 73.2%
56 92.4% 89.9% 95% 71.3% 68.7% 74.3%
55 93.2% 91% 95.5% 72.5% 70% 75.4%
54 93.9% 91.9% 96% 73.7% 71.2% 76.4%
53 94.5% 92.8% 96.4% 74.8% 72.4% 77.4%
52 95.1% 93.5% 96.7% 75.8% 73.5% 78.3%
51 95.6% 94.2% 97% 76.8% 74.5% 79.2%
50 96% 94.8% 97.3% 77.7% 75.6% 80%
49 96.4% 95.3% 97.6% 78.6% 76.5% 80.8%
48 96.8% 95.8% 97.8% 79.5% 77.4% 81.6%
47 97.1% 96.2% 98% 80.2% 78.3% 82.3%
46 97.3% 96.5% 98.1% 81% 79.1% 83%
45 97.5% 96.8% 98.3% 81.7% 79.9% 83.6%
44 97.7% 97.1% 98.4% 82.4% 80.6% 84.2%
43 97.9% 97.3% 98.5% 83% 81.3% 84.8%
42 98% 97.5% 98.6% 83.6% 81.9% 85.4%
41 98.2% 97.7% 98.7% 84.2% 82.6% 85.9%
40 98.3% 97.8% 98.8% 84.8% 83.2% 86.4%
39 98.4% 98% 98.9% 85.3% 83.7% 86.9%
38 98.5% 98.1% 99% 85.8% 84.3% 87.4%
37 98.6% 98.2% 99% 86.3% 84.8% 87.8%
36 98.7% 98.3% 99.1% 86.7% 85.3% 88.3%
35 98.8% 98.4% 99.1% 87.2% 85.7% 88.7%
34 98.8% 98.5% 99.2% 87.6% 86.2% 89%
33 98.9% 98.6% 99.2% 88% 86.6% 89.4%
32 99% 98.7% 99.3% 88.3% 87% 89.7%
31 99% 98.8% 99.3% 88.7% 87.3% 90.1%
30 99.1% 98.8% 99.3% 89% 87.7% 90.4%
29 99.1% 98.9% 99.4% 89.3% 88.1% 90.7%
28 99.2% 99% 99.4% 89.6% 88.4% 90.9%
27 99.2% 99% 99.4% 89.9% 88.7% 91.2%
26 99.3% 99.1% 99.4% 90.2% 89% 91.5%
25 99.3% 99.1% 99.4% 90.5% 89.3% 91.7%
24 99.3% 99.2% 99.5% 90.8% 89.6% 91.9%
23 99.4% 99.2% 99.5% 91% 89.9% 92.1%
22 99.4% 99.3% 99.5% 91.3% 90.2% 92.3%
21 99.4% 99.3% 99.5% 91.5% 90.5% 92.5%
20 99.5% 99.4% 99.5% 91.7% 90.7% 92.7%
19 99.5% 99.4% 99.6% 91.9% 90.9% 92.9%
18 99.5% 99.5% 99.6% 92.1% 91.1% 93%
17 99.5% 99.5% 99.6% 92.2% 91.3% 93.2%
16 99.6% 99.5% 99.6% 92.4% 91.5% 93.3%
15 99.6% 99.5% 99.6% 92.5% 91.6% 93.4%
14 99.6% 99.6% 99.6% 92.6% 91.7% 93.5%
13 99.6% 99.6% 99.6% 92.7% 91.8% 93.6%
12 99.6% 99.6% 99.6% 92.8% 91.9% 93.7%
11 99.6% 99.6% 99.6% 92.9% 92% 93.8%
10 99.6% 99.6% 99.7% 93% 92.1% 93.8%
9 99.6% 99.6% 99.7% 93.1% 92.2% 93.9%
8 99.6% 99.6% 99.7% 93.2% 92.3% 94%
7 99.7% 99.6% 99.7% 93.3% 92.5% 94.1%
6 99.7% 99.6% 99.7% 93.4% 92.6% 94.2%
5 99.7% 99.6% 99.7% 93.6% 92.8% 94.4%
4 99.7% 99.7% 99.7% 93.8% 93% 94.5%
3 99.7% 99.7% 99.7% 94% 93.3% 94.8%
2 99.7% 99.7% 99.7% 94.4% 93.7% 95.1%
1 99.7% 99.7% 99.7% 95.1% 94.4% 95.7%

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

GeoRank.org/life-expectancy/hungary/ivory-coast | CC BY

This chart shows the odds of living to each age from birth. 88.6% of newborns in Hungary and 65.9% in Ivory Coast are expected to live past 60, 74.2% and 46.9% past 70, 51.3% and 23.2% past 80, and only 17.7% and 4.76% 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

Hungary
Male

Female
Ivory Coast
Male

Female
1x
Age Probability of dying
Hungary Ivory Coast
Average Male Female Average Male Female
100 36.8% 37.4% 36.6% 38.7% 38.1% 39.1%
99 34.6% 35.3% 34.4% 37.1% 36.7% 37.4%
98 32.3% 33.2% 32.1% 35.1% 34.9% 35.3%
97 30.2% 31.2% 29.9% 33.5% 33.6% 33.5%
96 28% 29.2% 27.6% 31.9% 32.1% 31.7%
95 25.8% 26.9% 25.4% 30.1% 30.6% 29.9%
94 24% 25.4% 23.5% 28.3% 29% 27.9%
93 22.2% 24.1% 21.6% 26.6% 27.4% 26%
92 20.3% 22.1% 19.7% 24.9% 25.8% 24.3%
91 18.4% 20% 17.8% 23.1% 24.2% 22.5%
90 16.7% 18.3% 16.1% 21.8% 23% 21%
89 15% 16.7% 14.4% 20.2% 21.4% 19.3%
88 13.6% 15.3% 12.9% 18.8% 20.1% 17.9%
87 12.4% 14% 11.8% 17.4% 18.8% 16.5%
86 11.3% 12.8% 10.6% 16.2% 17.6% 15.1%
85 10.2% 11.8% 9.49% 14.9% 16.4% 13.8%
84 9.27% 10.9% 8.51% 13.8% 15.3% 12.6%
83 8.38% 9.98% 7.59% 12.6% 14.1% 11.5%
82 7.51% 9.13% 6.67% 11.6% 13.1% 10.4%
81 6.77% 8.41% 5.89% 10.5% 12% 9.35%
80 6.09% 7.68% 5.2% 9.79% 11.2% 8.59%
79 5.4% 6.91% 4.53% 9.07% 10.4% 7.93%
78 4.84% 6.33% 3.95% 8.5% 9.69% 7.41%
77 4.38% 5.85% 3.48% 7.89% 8.97% 6.87%
76 3.94% 5.31% 3.09% 7.39% 8.38% 6.43%
75 3.55% 4.81% 2.75% 6.91% 7.82% 6.01%
74 3.24% 4.45% 2.45% 6.44% 7.28% 5.59%
73 2.99% 4.15% 2.21% 5.99% 6.77% 5.21%
72 2.77% 3.88% 2.01% 5.6% 6.3% 4.87%
71 2.58% 3.63% 1.82% 5.16% 5.8% 4.49%
70 2.4% 3.4% 1.67% 4.86% 5.46% 4.25%
69 2.25% 3.19% 1.56% 4.48% 5.02% 3.92%
68 2.14% 3.02% 1.47% 4.2% 4.69% 3.68%
67 2.02% 2.87% 1.37% 3.91% 4.37% 3.44%
66 1.88% 2.71% 1.23% 3.66% 4.08% 3.23%
65 1.81% 2.63% 1.14% 3.46% 3.84% 3.06%
64 1.75% 2.53% 1.09% 3.19% 3.56% 2.81%
63 1.61% 2.29% 1.02% 2.95% 3.3% 2.59%
62 1.47% 2.05% 0.94% 2.74% 3.06% 2.39%
61 1.38% 1.94% 0.87% 2.51% 2.81% 2.19%
60 1.28% 1.8% 0.8% 2.35% 2.64% 2.04%
59 1.18% 1.65% 0.74% 2.16% 2.42% 1.87%
58 1.1% 1.54% 0.68% 2.01% 2.25% 1.75%
57 1.01% 1.42% 0.62% 1.87% 2.09% 1.62%
56 0.92% 1.28% 0.56% 1.76% 1.96% 1.52%
55 0.83% 1.14% 0.51% 1.65% 1.84% 1.43%
54 0.74% 1.02% 0.47% 1.55% 1.73% 1.35%
53 0.66% 0.91% 0.42% 1.46% 1.62% 1.27%
52 0.59% 0.81% 0.36% 1.38% 1.53% 1.2%
51 0.52% 0.72% 0.32% 1.28% 1.42% 1.12%
50 0.47% 0.64% 0.3% 1.21% 1.35% 1.06%
49 0.41% 0.56% 0.26% 1.13% 1.25% 0.99%
48 0.35% 0.48% 0.22% 1.05% 1.17% 0.93%
47 0.31% 0.41% 0.2% 0.98% 1.09% 0.87%
46 0.27% 0.35% 0.18% 0.92% 1.02% 0.82%
45 0.23% 0.3% 0.15% 0.87% 0.96% 0.77%
44 0.19% 0.26% 0.13% 0.82% 0.9% 0.73%
43 0.17% 0.22% 0.12% 0.77% 0.85% 0.69%
42 0.16% 0.2% 0.11% 0.73% 0.81% 0.66%
41 0.14% 0.18% 0.09% 0.69% 0.75% 0.62%
40 0.12% 0.16% 0.08% 0.66% 0.72% 0.6%
39 0.11% 0.14% 0.08% 0.62% 0.68% 0.56%
38 0.1% 0.13% 0.07% 0.59% 0.64% 0.53%
37 0.09% 0.12% 0.06% 0.55% 0.6% 0.5%
36 0.09% 0.12% 0.06% 0.52% 0.57% 0.48%
35 0.08% 0.11% 0.06% 0.49% 0.54% 0.45%
34 0.07% 0.1% 0.05% 0.47% 0.51% 0.42%
33 0.07% 0.09% 0.04% 0.44% 0.48% 0.4%
32 0.07% 0.09% 0.04% 0.42% 0.46% 0.38%
31 0.06% 0.08% 0.04% 0.39% 0.43% 0.36%
30 0.05% 0.07% 0.03% 0.38% 0.42% 0.34%
29 0.05% 0.07% 0.03% 0.36% 0.4% 0.32%
28 0.05% 0.07% 0.03% 0.34% 0.38% 0.31%
27 0.04% 0.06% 0.02% 0.33% 0.37% 0.29%
26 0.04% 0.06% 0.02% 0.32% 0.35% 0.28%
25 0.04% 0.05% 0.02% 0.3% 0.34% 0.26%
24 0.04% 0.05% 0.02% 0.29% 0.33% 0.25%
23 0.03% 0.05% 0.02% 0.28% 0.32% 0.23%
22 0.03% 0.04% 0.02% 0.26% 0.3% 0.22%
21 0.03% 0.04% 0.02% 0.25% 0.29% 0.2%
20 0.03% 0.05% 0.02% 0.23% 0.27% 0.19%
19 0.03% 0.05% 0.02% 0.21% 0.25% 0.18%
18 0.03% 0.04% 0.02% 0.2% 0.23% 0.17%
17 0.02% 0.03% 0.01% 0.17% 0.2% 0.15%
16 0.02% 0.02% 0.01% 0.15% 0.17% 0.13%
15 0.01% 0.02% 0.01% 0.13% 0.15% 0.12%
14 0.01% 0.02% 0.01% 0.12% 0.13% 0.1%
13 0.01% 0.01% 0.008% 0.1% 0.12% 0.09%
12 0.009% 0.01% 0.006% 0.1% 0.11% 0.09%
11 0.007% 0.008% 0.005% 0.09% 0.11% 0.08%
10 0.008% 0.009% 0.008% 0.1% 0.11% 0.08%
9 0.01% 0.01% 0.009% 0.1% 0.11% 0.09%
8 0.008% 0.01% 0.006% 0.11% 0.12% 0.1%
7 0.007% 0.007% 0.007% 0.12% 0.14% 0.11%
6 0.007% 0.006% 0.008% 0.14% 0.15% 0.12%
5 0.008% 0.009% 0.007% 0.16% 0.18% 0.15%
4 0.01% 0.01% 0.008% 0.21% 0.24% 0.19%
3 0.01% 0.01% 0.01% 0.29% 0.33% 0.26%
2 0.02% 0.02% 0.01% 0.42% 0.47% 0.38%
1 0.02% 0.02% 0.03% 0.67% 0.73% 0.61%
0 0.27% 0.29% 0.25% 4.93% 5.58% 4.27%

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

GeoRank.org/life-expectancy/hungary/ivory-coast | CC BY

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

The annual chance of dying is 0.27% in the birth year in Hungary and 4.93% in Ivory Coast, 0.05% vs 0.38% at age 30, 1.28% vs 2.35% at 60, and 6.09% vs 9.79% at 80.

Death rate by age in Hungary vs Ivory Coast

Hungary
Male

Female
Ivory Coast
Male

Female
1x
Age Death rate
Hungary Ivory Coast
Total Male Female Total Male Female
100 217.8 97.2 320 6.29 1.2 13.3
99 495 277.8 683 86.1 55.8 123.9
98 684 391 938 125.7 81.6 180.8
97 915 535 1,245 180.5 118 258.5
96 1,180 706 1,592 251.8 166.3 358
95 1,464 892 1,963 341 228.1 480
94 1,787 1,128 2,368 447 304 622
93 2,133 1,406 2,782 571 396 785
92 2,445 1,662 3,153 712 504 967
91 2,712 1,880 3,470 862 623 1,154
90 2,952 2,096 3,745 1,037 767 1,367
89 3,133 2,304 3,918 1,204 912 1,560
88 3,276 2,490 4,033 1,381 1,073 1,755
87 3,416 2,642 4,164 1,552 1,237 1,934
86 3,500 2,779 4,202 1,717 1,404 2,096
85 3,529 2,901 4,148 1,860 1,562 2,221
84 3,532 2,998 4,063 1,993 1,720 2,324
83 3,485 3,058 3,921 2,092 1,850 2,383
82 3,376 3,081 3,693 2,173 1,973 2,414
81 3,263 3,096 3,467 2,208 2,054 2,392
80 3,126 3,064 3,230 2,273 2,160 2,403
79 2,932 2,961 2,946 2,315 2,227 2,412
78 2,759 2,895 2,678 2,372 2,307 2,434
77 2,610 2,840 2,442 2,391 2,348 2,423
76 2,449 2,724 2,235 2,417 2,394 2,422
75 2,284 2,592 2,044 2,427 2,424 2,408
74 2,153 2,511 1,867 2,417 2,431 2,375
73 2,051 2,442 1,723 2,395 2,425 2,334
72 1,957 2,374 1,599 2,368 2,411 2,293
71 1,865 2,307 1,479 2,301 2,353 2,216
70 1,778 2,237 1,375 2,281 2,343 2,188
69 1,711 2,168 1,304 2,202 2,271 2,103
68 1,663 2,118 1,253 2,150 2,226 2,049
67 1,602 2,067 1,180 2,088 2,168 1,985
66 1,520 2,006 1,070 2,028 2,110 1,926
65 1,490 2,000 1,009 1,984 2,067 1,882
64 1,462 1,972 974 1,891 1,985 1,776
63 1,369 1,830 921 1,802 1,903 1,679
62 1,264 1,677 857 1,717 1,823 1,588
61 1,206 1,614 799 1,615 1,720 1,485
60 1,134 1,524 742 1,552 1,659 1,418
59 1,056 1,420 688 1,455 1,557 1,325
58 995 1,348 637 1,384 1,482 1,257
57 925 1,258 584 1,312 1,406 1,187
56 847 1,151 532 1,254 1,346 1,132
55 769 1,041 488 1,198 1,287 1,077
54 697 938 447 1,145 1,231 1,028
53 628 845 402 1,092 1,175 979
52 560 760 352 1,045 1,124 938
51 500 680 313 984 1,059 883
50 450 603 288.7 944 1,018 849
49 394 532 251 885 954 798
48 341 464 212.8 837 903 756
47 297.3 398 192.6 789 852 714
46 258.4 339 175.1 747 807 678
45 219.6 290.2 146.8 713 770 648
44 189.8 249.5 127.5 674 727 615
43 168.8 218.7 116.5 641 691 588
42 153.4 198.8 106 613 661 564
41 136.8 179 92.1 579 623 535
40 116.2 153 76.9 557 600 515
39 107 136.8 75 527 566 488
38 101.8 128.2 73.1 502 539 466
37 91.6 120.6 60.1 476 511 441
36 86.7 114 57.2 453 486 420
35 82.6 106.1 57.3 431 463 400
34 72.8 95 48.8 407 439 377
33 65.3 87.5 41.3 387 417 358
32 64.7 85.9 42 369 398 341
31 56.5 76.5 35 350 378 321
30 48.8 68.4 27.8 338 365 310
29 50.4 70.4 28.8 322 349 294.3
28 47.4 67.4 25.9 309 336 279.3
27 41.7 60.7 21.6 296.9 324 266
26 39.3 56 21.3 284.8 313 252.1
25 38.3 53.9 21.5 273.5 304 238.2
24 36.4 52.5 19.2 262.5 295 225.6
23 34.2 48.2 19.4 251.3 285.2 213.2
22 32.9 44.1 21.1 239.2 273.7 201.1
21 33 43.7 21.5 225.6 259.5 188.8
20 33.7 46.4 20.3 212.6 243.3 179.5
19 33.6 48.1 18.3 197 224.9 166.9
18 29.2 40.9 17 180.6 205.1 154.1
17 22.5 29.9 14.7 160.1 179.5 139.2
16 16.7 22.3 10.9 140.8 155.3 125.2
15 13.8 17.7 9.68 123 133.8 111.4
14 12.4 15.1 9.53 108 117.5 97.8
13 10.8 13.6 7.82 97.2 105.8 88
12 8.56 11.3 5.71 90.5 99.3 81.4
11 6.7 8.01 5.31 87.8 96.7 78.6
10 8.44 9.09 7.74 88.7 97.6 79.6
9 10.1 11.3 8.86 92.8 102.4 82.9
8 8.36 10.3 6.34 100.6 111.5 89.4
7 7.08 7.1 7.06 112.8 125.1 100.2
6 7.12 5.85 8.46 129.1 142.8 114.9
5 8.09 9.06 7.07 153.7 169.1 137.7
4 9.76 11.8 7.54 200.3 220.7 179.3
3 12.1 12.3 11.9 275.7 304 246.4
2 16.1 20.1 12 398 437 359
1 24.7 23.2 26.3 640 693 585
0 271.5 290.3 251.6 4,932 5,583 4,273

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

GeoRank.org/life-expectancy/hungary/ivory-coast | 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 Hungary, the most common age of death is 84, compared to 0 in Ivory Coast. The median age of death is 80.4 in Hungary and 68.6 in Ivory Coast, 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 Hungary and Ivory Coast 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/hungary/ivory-coast | 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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