Skip to content

Life Expectancy in Congo vs Maldives (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 66.4 years in the Congo vs 81.7 in Maldives. The Congo is ranked 168/197 by life expectancy, and Maldives is 37/197. In the Congo, the life expectancy is 64.7 years for males and 68.2 years for females. In Maldives, it's 80.4 years for males and 83.3 years for females.

Congo vs Maldives life expectancy at birth by year chart

Congo
Male

Female
Maldives
Male

Female
Year Life expectancy, years
Congo Maldives
Average Male Female Average Male Female
1950 39.6 38.4 40.8 36.5 35.5 37.5
1951 40.3 39.1 41.6 37.1 36.1 38.1
1952 41.1 39.9 42.3 37 36 38
1953 41.9 40.6 43.2 36.9 36 37.9
1954 42.6 41.3 43.9 36.9 36.1 37.9
1955 43.4 42.1 44.8 37 36.1 37.9
1956 44.3 42.9 45.7 37.1 36.3 38
1957 45.1 43.8 46.5 37.3 36.5 38.2
1958 46 44.6 47.4 37.6 36.8 38.4
1959 46.8 45.4 48.2 37.9 37.1 38.7
1960 47.6 46.2 49.1 38.2 37.5 39
1961 48.4 46.9 49.8 38.6 38 39.4
1962 49 47.6 50.5 39.1 38.4 39.8
1963 49.7 48.3 51.2 39.6 39 40.2
1964 50.4 48.9 51.9 40.2 39.6 40.7
1965 51 49.5 52.6 40.8 40.3 41.2
1966 51.6 50 53.1 41.4 41 41.8
1967 51.9 50.4 53.5 42.1 41.8 42.5
1968 52.6 51 54.3 42.9 42.6 43.2
1969 53.1 51.5 54.8 43.7 43.4 43.9
1970 53.6 51.9 55.2 44.5 44.3 44.8
1971 54 52.3 55.7 45.5 45.2 45.7
1972 54.4 52.7 56.1 46.4 46.2 46.7
1973 54.7 53 56.5 47.5 47.1 47.8
1974 55.1 53.3 56.8 48.5 48.2 49
1975 55.4 53.7 57.2 49.6 49.2 50.2
1976 55.7 53.9 57.5 50.8 50.3 51.3
1977 56 54.2 57.8 51.8 51.4 52.5
1978 56.2 54.5 58 50.4 50 51.1
1979 56.5 54.6 58.4 53.9 53.3 54.6
1980 56.8 54.9 58.7 54.8 54.3 55.5
1981 57.1 55.1 59.1 55.7 55.2 56.5
1982 57.2 55.3 59.2 56.6 56 57.4
1983 57.4 55.5 59.4 57.5 56.9 58.3
1984 57.5 55.7 59.4 58.3 57.7 59.2
1985 57.6 55.9 59.3 59.2 58.5 60.1
1986 57.6 56 59.2 60 59.3 61
1987 57.6 56.1 59 60.8 60 61.8
1988 57.5 56.2 58.7 61.6 60.8 62.6
1989 57.3 56.2 58.3 62.4 61.6 63.4
1990 57.1 56 58 63.1 62.4 64.2
1991 56.8 55.8 57.7 63.9 63.1 65
1992 56.5 55.6 57.3 64.7 63.8 65.8
1993 56 55.2 56.8 65.4 64.5 66.6
1994 55.6 54.8 56.4 66.2 65.2 67.5
1995 55.5 54.8 56.1 67 66 68.3
1996 55.2 54.6 55.9 67.7 66.7 69.1
1997 48.6 44.1 53.8 68.5 67.5 69.9
1998 52.6 50.6 54.6 69.3 68.3 70.6
1999 54.4 53.5 55.4 70.2 69.2 71.5
2000 55.4 54.7 55.9 70.9 69.9 72.2
2001 55.9 55.3 56.4 71.7 70.6 73.1
2002 56.4 55.7 57.1 72.4 71.3 73.8
2003 57.1 56.5 57.7 73.3 72.1 74.8
2004 58 57.3 58.5 73 72 74.3
2005 58.7 58 59.4 74.8 73.7 76.3
2006 59.5 58.7 60.2 75.3 74.1 76.9
2007 60.1 59.1 60.9 75.7 74.5 77.4
2008 60.8 59.8 61.8 76 74.8 77.7
2009 61.2 60.1 62.3 76.4 75.2 78
2010 61.7 60.6 62.9 76.8 75.5 78.4
2011 62.3 61 63.6 77.1 75.9 78.8
2012 62.7 61.4 64 77.5 76.3 79.2
2013 63 61.6 64.4 77.8 76.6 79.5
2014 63.3 62 64.8 78.2 77 79.8
2015 63.7 62.2 65.1 78.6 77.5 80.1
2016 63.9 62.4 65.4 78.9 77.8 80.4
2017 64.2 62.7 65.7 79.2 78.1 80.8
2018 64.5 63 66 79.4 78.2 81.1
2019 63.2 61.7 64.6 79.7 78.4 81.5
2020 64.4 62.7 66.2 78.7 77.5 80.4
2021 64.2 62.7 65.8 78.1 76.8 79.7
2022 65 63.4 66.6 80.8 79.4 82.5
2023 65.8 64.1 67.5 81 79.7 82.8
2024 66 64.3 67.7 81.3 79.9 83
2025 66.2 64.5 67.9 81.5 80.2 83.2
2026 66.4 64.7 68.2 81.7 80.4 83.3

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 life. It is a snapshot reflecting mortality rates at a given year that does not account for any future changes in these 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 54.8 years in the Congo and 66.7 in Maldives. People who reach age 60 can expect an additional 11.5 healthy years in the Congo and 13.9 in Maldives.

Congo vs Maldives life expectancy calculator

This life expectancy calculator assesses the odds of living to 100, 95, 90, and below based on the current age for both males and females in the Congo and Maldives, also providing 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:
40.7 vs 52.4 years

Mean expected age of death:
70.7 vs 82.4 years

Median expected age of death:
73.1 vs 84.0 years

Odds of living to

Target age Survival probability
Congo Maldives
Male Female Male Female
40 96.0% 96.7% 99.7% 99.7%
50 88.8% 91.1% 98.8% 99.1%
60 75.9% 81.3% 96.3% 97.3%
65 66.3% 73.7% 93.1% 95.1%
70 54.1% 63.3% 87.0% 91.0%
75 39.3% 49.3% 76.8% 83.8%
80 24.1% 32.8% 61.0% 71.2%
85 11.5% 16.9% 40.2% 52.0%
90 3.9% 6.0% 18.8% 29.1%
95 0.9% 1.3% 5.4% 10.7%
100 0.1% 0.1% 0.8% 2.1%

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in the Congo vs Maldives: 70.7 years vs 82.4 at 30, 78.3 vs 84.1 at 65, 85.9 vs 88.3 at 80 — significantly higher than the 66.4 vs 81.7 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in the Congo and Maldives.

Congo
Male

Female
Maldives
Male

Female
Current age, years Total life expectancy, years
Congo Maldives
Average Male Female Average Male Female
0 66.4 64.7 68.2 81.7 80.4 83.3
1 68.2 66.7 69.8 82.1 80.8 83.6
2 68.5 67 70.1 82.1 80.9 83.7
3 68.7 67.2 70.3 82.1 80.9 83.7
4 68.8 67.3 70.4 82.1 80.9 83.7
5 68.9 67.4 70.5 82.1 80.9 83.7
6 69 67.4 70.6 82.1 80.9 83.7
7 69.1 67.5 70.6 82.2 80.9 83.7
8 69.1 67.5 70.7 82.2 80.9 83.7
9 69.2 67.6 70.7 82.2 80.9 83.7
10 69.2 67.6 70.8 82.2 80.9 83.8
11 69.2 67.7 70.8 82.2 80.9 83.8
12 69.3 67.7 70.8 82.2 80.9 83.8
13 69.3 67.8 70.9 82.2 80.9 83.8
14 69.3 67.8 70.9 82.2 81 83.8
15 69.4 67.8 71 82.2 81 83.8
16 69.4 67.9 71 82.2 81 83.8
17 69.5 68 71.1 82.3 81 83.8
18 69.6 68 71.1 82.3 81 83.8
19 69.6 68.1 71.2 82.3 81.1 83.8
20 69.7 68.2 71.2 82.3 81.1 83.8
21 69.8 68.3 71.3 82.3 81.1 83.9
22 69.9 68.4 71.4 82.3 81.1 83.9
23 70 68.5 71.5 82.3 81.1 83.9
24 70.1 68.6 71.5 82.4 81.2 83.9
25 70.1 68.7 71.6 82.4 81.2 83.9
26 70.2 68.8 71.7 82.4 81.2 83.9
27 70.3 68.9 71.8 82.4 81.2 83.9
28 70.5 69 71.9 82.4 81.2 83.9
29 70.6 69.1 72 82.4 81.2 83.9
30 70.7 69.3 72.1 82.4 81.2 84
31 70.8 69.4 72.2 82.5 81.3 84
32 70.9 69.5 72.3 82.5 81.3 84
33 71 69.6 72.4 82.5 81.3 84
34 71.2 69.8 72.5 82.5 81.3 84
35 71.3 69.9 72.7 82.5 81.3 84
36 71.4 70.1 72.8 82.5 81.3 84
37 71.6 70.2 72.9 82.5 81.4 84
38 71.7 70.4 73.1 82.6 81.4 84
39 71.9 70.5 73.2 82.6 81.4 84.1
40 72 70.7 73.3 82.6 81.4 84.1
41 72.2 70.9 73.5 82.6 81.4 84.1
42 72.3 71 73.7 82.6 81.4 84.1
43 72.5 71.2 73.8 82.7 81.5 84.1
44 72.7 71.4 74 82.7 81.5 84.2
45 72.9 71.6 74.1 82.7 81.5 84.2
46 73.1 71.8 74.3 82.7 81.5 84.2
47 73.3 72 74.5 82.8 81.6 84.2
48 73.5 72.2 74.7 82.8 81.6 84.3
49 73.7 72.5 74.9 82.8 81.7 84.3
50 73.9 72.7 75.1 82.9 81.7 84.3
51 74.1 73 75.3 82.9 81.8 84.4
52 74.4 73.2 75.5 83 81.8 84.4
53 74.6 73.5 75.7 83 81.9 84.4
54 74.9 73.8 75.9 83.1 81.9 84.5
55 75.1 74.1 76.2 83.1 82 84.5
56 75.4 74.4 76.4 83.2 82 84.6
57 75.7 74.7 76.7 83.3 82.1 84.6
58 76 75 76.9 83.3 82.2 84.7
59 76.3 75.3 77.2 83.4 82.3 84.8
60 76.6 75.6 77.4 83.5 82.4 84.9
61 76.9 76 77.7 83.6 82.5 84.9
62 77.2 76.4 78 83.7 82.6 85
63 77.6 76.7 78.3 83.8 82.7 85.1
64 77.9 77.1 78.6 84 82.9 85.3
65 78.3 77.5 79 84.1 83.1 85.4
66 78.7 77.9 79.3 84.3 83.2 85.5
67 79.1 78.4 79.7 84.4 83.4 85.7
68 79.5 78.8 80 84.6 83.7 85.8
69 79.9 79.3 80.4 84.8 83.9 86
70 80.3 79.8 80.8 85.1 84.1 86.2
71 80.8 80.3 81.3 85.3 84.4 86.4
72 81.3 80.8 81.7 85.5 84.7 86.6
73 81.8 81.3 82.2 85.8 85 86.8
74 82.3 81.9 82.7 86.1 85.3 87
75 82.9 82.5 83.2 86.4 85.6 87.3
76 83.4 83.1 83.7 86.8 86 87.6
77 84 83.7 84.3 87.1 86.4 87.9
78 84.6 84.3 84.8 87.5 86.8 88.3
79 85.2 85 85.4 87.9 87.3 88.6
80 85.9 85.7 86 88.3 87.7 89
81 86.5 86.4 86.7 88.8 88.2 89.4
82 87.2 87.1 87.3 89.3 88.7 89.9
83 87.9 87.8 88 89.8 89.2 90.3
84 88.6 88.5 88.7 90.3 89.8 90.9
85 89.3 89.3 89.4 90.9 90.4 91.4
86 90.1 90.1 90.1 91.5 91 91.9
87 90.9 90.9 90.9 92.1 91.6 92.5
88 91.6 91.6 91.6 92.7 92.3 93.1
89 92.4 92.5 92.4 93.4 93 93.8
90 93.2 93.3 93.2 94.1 93.8 94.4
91 94 94.1 94 94.8 94.5 95.1
92 94.9 94.9 94.8 95.6 95.3 95.8
93 95.7 95.8 95.7 96.3 96.1 96.6
94 96.6 96.7 96.5 97.1 96.8 97.3
95 97.4 97.5 97.4 97.9 97.7 98.1
96 98.3 98.4 98.2 98.7 98.5 98.9
97 99.2 99.3 99.1 99.5 99.3 99.7
98 100.1 100.2 100.1 100.4 100.2 100.5
99 101 101 101 101.2 101 101.3
100 101.9 101.9 101.9 102.1 101.9 102.2

Odds of living to age in Congo vs Maldives

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 73.1% in the Congo and 95.7% in Maldives are expected to survive till at least 60 years old, 54.5% and 87.9% will live to 70 years or older, 26.4% and 65% to 80+ years, and 4.63% and 23.1% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Congo
Male

Female
Maldives
Male

Female
Age Survival probability
Congo Maldives
Average Male Female Average Male Female
1 97.3% 97% 97.7% 99.6% 99.5% 99.6%
2 96.9% 96.6% 97.2% 99.6% 99.5% 99.6%
3 96.6% 96.3% 96.9% 99.5% 99.5% 99.6%
4 96.4% 96.1% 96.8% 99.5% 99.5% 99.6%
5 96.3% 96% 96.6% 99.5% 99.4% 99.6%
6 96.2% 95.9% 96.5% 99.5% 99.4% 99.5%
7 96.1% 95.8% 96.4% 99.5% 99.4% 99.5%
8 96% 95.7% 96.4% 99.5% 99.4% 99.5%
9 96% 95.6% 96.3% 99.5% 99.4% 99.5%
10 95.9% 95.6% 96.2% 99.5% 99.4% 99.5%
11 95.8% 95.5% 96.2% 99.4% 99.4% 99.5%
12 95.8% 95.4% 96.1% 99.4% 99.4% 99.5%
13 95.7% 95.4% 96.1% 99.4% 99.4% 99.5%
14 95.7% 95.3% 96% 99.4% 99.4% 99.5%
15 95.6% 95.2% 95.9% 99.4% 99.3% 99.5%
16 95.5% 95.1% 95.9% 99.4% 99.3% 99.4%
17 95.4% 95% 95.8% 99.3% 99.3% 99.4%
18 95.3% 94.9% 95.7% 99.3% 99.2% 99.4%
19 95.1% 94.7% 95.6% 99.3% 99.2% 99.4%
20 95% 94.5% 95.4% 99.3% 99.2% 99.4%
21 94.8% 94.4% 95.3% 99.2% 99.1% 99.3%
22 94.7% 94.2% 95.2% 99.2% 99.1% 99.3%
23 94.5% 94% 95% 99.2% 99.1% 99.3%
24 94.3% 93.7% 94.9% 99.2% 99% 99.3%
25 94.1% 93.5% 94.7% 99.1% 99% 99.3%
26 93.9% 93.3% 94.5% 99.1% 99% 99.3%
27 93.7% 93% 94.3% 99.1% 99% 99.2%
28 93.4% 92.8% 94.1% 99.1% 98.9% 99.2%
29 93.2% 92.5% 93.9% 99% 98.9% 99.2%
30 93% 92.2% 93.7% 99% 98.9% 99.2%
31 92.7% 92% 93.4% 99% 98.8% 99.2%
32 92.4% 91.7% 93.2% 99% 98.8% 99.1%
33 92.1% 91.3% 92.9% 98.9% 98.8% 99.1%
34 91.8% 91% 92.6% 98.9% 98.8% 99.1%
35 91.5% 90.6% 92.4% 98.9% 98.7% 99.1%
36 91.1% 90.3% 92% 98.8% 98.7% 99%
37 90.8% 89.9% 91.7% 98.8% 98.7% 99%
38 90.4% 89.5% 91.4% 98.8% 98.6% 99%
39 90% 89% 91% 98.7% 98.6% 99%
40 89.5% 88.5% 90.6% 98.7% 98.5% 98.9%
41 89.1% 88% 90.2% 98.7% 98.5% 98.9%
42 88.6% 87.5% 89.7% 98.6% 98.5% 98.8%
43 88.1% 86.9% 89.3% 98.6% 98.4% 98.8%
44 87.6% 86.3% 88.8% 98.5% 98.3% 98.7%
45 87% 85.7% 88.3% 98.4% 98.3% 98.6%
46 86.4% 85% 87.8% 98.3% 98.2% 98.6%
47 85.7% 84.3% 87.2% 98.2% 98.1% 98.5%
48 85.1% 83.6% 86.6% 98.1% 97.9% 98.4%
49 84.3% 82.8% 86% 98% 97.8% 98.4%
50 83.6% 81.9% 85.3% 97.9% 97.7% 98.3%
51 82.8% 81% 84.6% 97.8% 97.5% 98.2%
52 81.9% 80% 83.8% 97.7% 97.4% 98.1%
53 81% 79% 83% 97.5% 97.2% 98%
54 80% 77.9% 82.2% 97.4% 97% 97.8%
55 79% 76.7% 81.3% 97.2% 96.8% 97.7%
56 77.9% 75.5% 80.4% 96.9% 96.6% 97.5%
57 76.8% 74.3% 79.4% 96.7% 96.3% 97.3%
58 75.6% 72.9% 78.4% 96.4% 96% 97%
59 74.4% 71.5% 77.3% 96.1% 95.6% 96.8%
60 73.1% 70% 76.1% 95.7% 95.2% 96.5%
61 71.6% 68.4% 74.9% 95.3% 94.7% 96.1%
62 70.1% 66.8% 73.6% 94.8% 94.2% 95.8%
63 68.5% 65% 72.1% 94.3% 93.5% 95.3%
64 66.9% 63.1% 70.6% 93.7% 92.8% 94.8%
65 65.1% 61.2% 69% 93% 92% 94.3%
66 63.2% 59.1% 67.3% 92.2% 91.1% 93.6%
67 61.2% 57% 65.5% 91.3% 90% 92.9%
68 59.1% 54.8% 63.5% 90.3% 88.8% 92.2%
69 56.9% 52.4% 61.5% 89.2% 87.5% 91.3%
70 54.5% 49.9% 59.3% 87.9% 86% 90.3%
71 52.1% 47.3% 56.9% 86.5% 84.4% 89.2%
72 49.5% 44.7% 54.4% 85% 82.6% 87.9%
73 46.8% 41.9% 51.8% 83.2% 80.6% 86.5%
74 44% 39.1% 49% 81.3% 78.4% 84.9%
75 41.2% 36.3% 46.2% 79.2% 75.9% 83.1%
76 38.2% 33.4% 43.2% 76.8% 73.3% 81.1%
77 35.3% 30.5% 40.1% 74.3% 70.4% 78.8%
78 32.3% 27.7% 37% 71.4% 67.2% 76.4%
79 29.3% 24.9% 33.8% 68.4% 63.9% 73.6%
80 26.4% 22.2% 30.7% 65% 60.3% 70.6%
81 23.5% 19.6% 27.5% 61.4% 56.5% 67.4%
82 20.7% 17.1% 24.5% 57.6% 52.6% 63.8%
83 18.1% 14.8% 21.5% 53.6% 48.4% 59.9%
84 15.5% 12.6% 18.6% 49.4% 44.1% 55.8%
85 13.2% 10.6% 15.9% 45% 39.7% 51.5%
86 11% 8.81% 13.3% 40.5% 35.3% 47.1%
87 9.11% 7.23% 11.1% 36% 30.9% 42.5%
88 7.39% 5.84% 9% 31.5% 26.5% 37.9%
89 5.9% 4.65% 7.2% 27.2% 22.4% 33.3%
90 4.63% 3.64% 5.65% 23.1% 18.6% 28.8%
91 3.55% 2.8% 4.34% 19.2% 15.1% 24.6%
92 2.68% 2.12% 3.27% 15.8% 12% 20.6%
93 1.98% 1.57% 2.4% 12.6% 9.36% 16.9%
94 1.43% 1.14% 1.72% 9.94% 7.15% 13.6%
95 1.01% 0.81% 1.2% 7.63% 5.32% 10.7%
96 0.69% 0.57% 0.82% 5.72% 3.86% 8.16%
97 0.46% 0.39% 0.54% 4.16% 2.71% 6.08%
98 0.3% 0.26% 0.35% 2.94% 1.84% 4.4%
99 0.19% 0.17% 0.22% 2.02% 1.21% 3.08%
100 0.12% 0.11% 0.13% 1.34% 0.77% 2.09%

Compare countries by 7 more topics

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.67% in the birth year in the Congo and 0.41% in Maldives, 0.28% vs 0.03% at age 30, 1.95% vs 0.44% at 60, and 11% vs 5.5% at 80.

Below is a graph displaying the probabilities of dying in the Congo compared to Maldives at any given age.

Congo
Male

Female
Maldives
Male

Female
Age Probability of dying
Congo Maldives
Average Male Female Average Male Female
0 2.67% 2.99% 2.35% 0.41% 0.47% 0.36%
1 0.44% 0.44% 0.45% 0.03% 0.04% 0.02%
2 0.28% 0.28% 0.28% 0.02% 0.02% 0.02%
3 0.19% 0.2% 0.19% 0.02% 0.02% 0.02%
4 0.14% 0.15% 0.14% 0.01% 0.01% 0.02%
5 0.11% 0.11% 0.1% 0.01% 0.008% 0.02%
6 0.09% 0.1% 0.09% 0.01% 0.006% 0.01%
7 0.08% 0.09% 0.07% 0.009% 0.006% 0.01%
8 0.07% 0.08% 0.07% 0.008% 0.006% 0.01%
9 0.07% 0.07% 0.06% 0.008% 0.008% 0.009%
10 0.06% 0.07% 0.06% 0.009% 0.01% 0.009%
11 0.06% 0.07% 0.06% 0.01% 0.01% 0.008%
12 0.07% 0.07% 0.06% 0.01% 0.02% 0.009%
13 0.07% 0.08% 0.07% 0.02% 0.02% 0.01%
14 0.08% 0.09% 0.07% 0.02% 0.03% 0.01%
15 0.09% 0.1% 0.08% 0.02% 0.03% 0.01%
16 0.11% 0.12% 0.09% 0.03% 0.03% 0.02%
17 0.12% 0.14% 0.1% 0.03% 0.04% 0.02%
18 0.14% 0.16% 0.12% 0.03% 0.04% 0.02%
19 0.15% 0.18% 0.13% 0.03% 0.04% 0.02%
20 0.17% 0.19% 0.14% 0.03% 0.03% 0.02%
21 0.18% 0.21% 0.15% 0.02% 0.03% 0.02%
22 0.19% 0.22% 0.16% 0.02% 0.03% 0.02%
23 0.2% 0.23% 0.17% 0.02% 0.03% 0.02%
24 0.21% 0.24% 0.18% 0.02% 0.03% 0.02%
25 0.22% 0.25% 0.19% 0.02% 0.03% 0.02%
26 0.23% 0.26% 0.2% 0.03% 0.03% 0.02%
27 0.24% 0.27% 0.21% 0.03% 0.03% 0.02%
28 0.26% 0.28% 0.23% 0.03% 0.03% 0.02%
29 0.27% 0.3% 0.24% 0.03% 0.03% 0.02%
30 0.28% 0.31% 0.26% 0.03% 0.03% 0.02%
31 0.3% 0.33% 0.27% 0.03% 0.03% 0.02%
32 0.32% 0.35% 0.29% 0.03% 0.03% 0.02%
33 0.33% 0.37% 0.3% 0.03% 0.03% 0.02%
34 0.36% 0.39% 0.32% 0.03% 0.03% 0.02%
35 0.38% 0.42% 0.34% 0.03% 0.03% 0.02%
36 0.4% 0.44% 0.36% 0.03% 0.03% 0.03%
37 0.43% 0.47% 0.38% 0.03% 0.04% 0.03%
38 0.45% 0.5% 0.41% 0.04% 0.04% 0.04%
39 0.48% 0.53% 0.43% 0.04% 0.04% 0.04%
40 0.52% 0.57% 0.46% 0.04% 0.04% 0.04%
41 0.54% 0.6% 0.48% 0.05% 0.05% 0.05%
42 0.58% 0.65% 0.51% 0.05% 0.05% 0.05%
43 0.61% 0.69% 0.54% 0.06% 0.06% 0.06%
44 0.65% 0.73% 0.57% 0.07% 0.08% 0.06%
45 0.7% 0.79% 0.61% 0.08% 0.09% 0.07%
46 0.74% 0.84% 0.64% 0.1% 0.11% 0.07%
47 0.79% 0.9% 0.68% 0.11% 0.12% 0.07%
48 0.85% 0.97% 0.73% 0.12% 0.14% 0.08%
49 0.91% 1.04% 0.78% 0.12% 0.14% 0.08%
50 0.98% 1.12% 0.84% 0.13% 0.15% 0.09%
51 1.04% 1.19% 0.88% 0.13% 0.15% 0.1%
52 1.12% 1.29% 0.95% 0.15% 0.16% 0.12%
53 1.19% 1.37% 1.01% 0.17% 0.19% 0.14%
54 1.27% 1.47% 1.07% 0.2% 0.22% 0.17%
55 1.35% 1.57% 1.14% 0.23% 0.25% 0.19%
56 1.44% 1.68% 1.22% 0.26% 0.29% 0.21%
57 1.54% 1.79% 1.3% 0.29% 0.33% 0.24%
58 1.66% 1.93% 1.4% 0.33% 0.38% 0.28%
59 1.78% 2.08% 1.5% 0.38% 0.44% 0.31%
60 1.95% 2.28% 1.65% 0.44% 0.5% 0.35%
61 2.08% 2.43% 1.76% 0.5% 0.58% 0.4%
62 2.28% 2.65% 1.93% 0.57% 0.67% 0.45%
63 2.46% 2.86% 2.09% 0.65% 0.77% 0.51%
64 2.67% 3.09% 2.28% 0.74% 0.88% 0.58%
65 2.9% 3.34% 2.49% 0.85% 1.02% 0.66%
66 3.14% 3.62% 2.7% 0.97% 1.17% 0.75%
67 3.44% 3.95% 2.97% 1.1% 1.33% 0.85%
68 3.76% 4.32% 3.27% 1.24% 1.5% 0.96%
69 4.1% 4.7% 3.58% 1.4% 1.69% 1.08%
70 4.54% 5.18% 3.99% 1.59% 1.9% 1.24%
71 4.91% 5.6% 4.34% 1.8% 2.14% 1.42%
72 5.43% 6.16% 4.84% 2.04% 2.42% 1.62%
73 5.94% 6.7% 5.32% 2.31% 2.74% 1.86%
74 6.5% 7.28% 5.86% 2.62% 3.1% 2.12%
75 7.11% 7.91% 6.46% 2.96% 3.5% 2.41%
76 7.74% 8.57% 7.08% 3.36% 3.95% 2.75%
77 8.41% 9.26% 7.75% 3.8% 4.45% 3.14%
78 9.21% 10.1% 8.55% 4.31% 5% 3.57%
79 9.99% 10.9% 9.34% 4.87% 5.6% 4.08%
80 11% 11.8% 10.3% 5.5% 6.26% 4.65%
81 11.8% 12.6% 11.2% 6.22% 7.02% 5.3%
82 12.9% 13.7% 12.3% 7.01% 7.88% 6.03%
83 13.9% 14.7% 13.4% 7.89% 8.85% 6.84%
84 15.1% 15.8% 14.6% 8.88% 9.96% 7.72%
85 16.3% 16.9% 15.9% 9.95% 11.2% 8.69%
86 17.6% 18% 17.2% 11.1% 12.6% 9.74%
87 18.8% 19.2% 18.6% 12.4% 14% 10.9%
88 20.2% 20.4% 20% 13.7% 15.6% 12.1%
89 21.6% 21.6% 21.5% 15.1% 17.1% 13.4%
90 23.2% 23.1% 23.2% 16.6% 18.8% 14.8%
91 24.5% 24.3% 24.7% 18.2% 20.4% 16.3%
92 26.2% 25.8% 26.5% 19.7% 22% 17.9%
93 27.9% 27.3% 28.2% 21.4% 23.6% 19.6%
94 29.6% 28.8% 30.1% 23.2% 25.5% 21.5%
95 31.3% 30.3% 32% 25.1% 27.6% 23.4%
96 33% 31.7% 33.8% 27.2% 29.8% 25.5%
97 34.6% 33.1% 35.6% 29.3% 32% 27.7%
98 36.2% 34.3% 37.4% 31.4% 34.2% 29.9%
99 38% 36.1% 39.4% 33.5% 36.4% 32.2%
100 39.6% 37.4% 41.1% 35.6% 38.6% 34.4%

Death rate by age in the Congo compared to Maldives

In the Congo, the most common age of death is 78, compared to 86 in Maldives. The median age of death is 71.8 in the Congo and 83.8 in Maldives — only half of the newborns in both countries are expected to live past these ages.

Congo
Male

Female
Maldives
Male

Female
Age Death rate
Congo Maldives
Total Male Female Total Male Female
0 2,669 2,985 2,347 412 465 356
1 433 425 441 31.1 37.9 24.1
2 269.7 269.8 269.5 23 24.4 21.4
3 186.3 189.4 183.1 17.8 16.2 19.4
4 135.6 139.5 131.7 14.4 11.3 17.7
5 104 107.7 100.1 11.9 8.22 15.9
6 87.5 91.9 82.9 10 6.46 14
7 76.9 81.7 72 8.86 5.9 12.2
8 68.7 73.3 64 8.32 6.36 10.5
9 63.5 67.8 59.1 8.4 7.62 9.27
10 61 65.2 56.6 9.11 9.6 8.55
11 60.8 65.6 55.9 10.6 12.5 8.43
12 63 68 58 13 16.4 8.97
13 68.1 73.3 62.8 15.9 20.8 10.2
14 76.3 82.8 69.7 19.2 25.4 12
15 88 96.3 79.6 22.8 29.9 14.4
16 101.9 113.8 89.7 26 33.8 16.9
17 117.2 133.7 100.4 28.3 36.4 18.7
18 133.5 155.1 111.4 28.5 36.7 19.2
19 146.1 170.3 121.4 27.1 34.8 18.4
20 158 184.2 131.3 24.8 31.7 17
21 168 196.6 138.8 22.8 28.9 15.8
22 178.5 207.8 148.7 21.7 26.9 15.2
23 188.3 217.3 158.7 21.5 26 15.5
24 197.6 225.7 169 22.2 26 16.8
25 206.9 234.1 179.3 23.6 26.6 18.8
26 216.8 242.3 190.8 25.3 27.6 21.1
27 227.6 252.1 202.6 26.7 28.6 22.9
28 238.5 262.8 213.9 27.5 29.4 23.3
29 250.5 274.3 226.3 27.8 29.9 22.7
30 264.4 288.9 239.4 27.6 30.1 21.6
31 275.1 301 249.1 27.5 30.2 20.6
32 292.4 319 265.8 27.5 30.4 20.2
33 308 336 280.5 27.9 30.8 20.6
34 326 355 296.8 28.7 31.5 21.7
35 347 377 316 29.9 32.5 23.8
36 367 399 334 31.6 33.7 26.8
37 387 422 352 33.6 34.9 30.5
38 411 448 373 35.9 36.5 34.7
39 434 474 393 38.8 38.6 39.4
40 461 506 416 42.6 41.8 44.3
41 482 529 434 47.4 46.5 49.3
42 513 565 459 53.8 53.7 54.1
43 539 596 481 61.4 62.8 58.5
44 569 631 505 71.1 75.4 62.1
45 605 673 534 82.3 90.6 65.4
46 638 712 561 94.2 107 68.5
47 676 757 593 104.9 121.9 71.9
48 721 807 631 113.1 132.9 76.1
49 765 859 669 118.4 139.1 81.8
50 820 921 716 123.4 143.4 89.9
51 857 966 747 130.8 149.2 101.3
52 915 1,030 797 143.2 160.2 116.9
53 962 1,084 836 163.3 180.4 137.9
54 1,014 1,144 881 191.4 211 163.2
55 1,067 1,204 927 219.5 243.4 186
56 1,123 1,266 980 249 278.5 208.9
57 1,182 1,332 1,032 283.5 319 236
58 1,255 1,411 1,098 323 367 267.1
59 1,327 1,491 1,163 367 420 301
60 1,426 1,596 1,254 417 480 340
61 1,493 1,666 1,319 474 549 384
62 1,598 1,773 1,420 539 629 434
63 1,689 1,862 1,510 612 718 490
64 1,784 1,953 1,609 695 819 553
65 1,886 2,046 1,717 792 937 625
66 1,986 2,143 1,819 898 1,065 704
67 2,103 2,254 1,942 1,004 1,193 786
68 2,223 2,365 2,075 1,120 1,328 880
69 2,334 2,463 2,201 1,250 1,475 990
70 2,476 2,586 2,367 1,394 1,633 1,117
71 2,558 2,649 2,472 1,557 1,809 1,264
72 2,690 2,752 2,634 1,734 2,000 1,427
73 2,778 2,808 2,754 1,925 2,206 1,606
74 2,861 2,849 2,875 2,128 2,426 1,798
75 2,926 2,871 2,980 2,342 2,656 2,004
76 2,960 2,862 3,058 2,578 2,896 2,230
77 2,969 2,829 3,109 2,824 3,134 2,472
78 2,977 2,793 3,163 3,077 3,363 2,730
79 2,932 2,706 3,161 3,332 3,578 3,002
80 2,898 2,633 3,165 3,577 3,777 3,283
81 2,773 2,477 3,069 3,819 3,968 3,571
82 2,671 2,343 3,001 4,039 4,139 3,847
83 2,519 2,170 2,871 4,230 4,285 4,099
84 2,351 1,991 2,715 4,381 4,394 4,313
85 2,150 1,791 2,515 4,475 4,448 4,476
86 1,939 1,590 2,297 4,507 4,430 4,581
87 1,715 1,387 2,053 4,464 4,327 4,616
88 1,492 1,193 1,802 4,335 4,131 4,574
89 1,273 1,006 1,549 4,117 3,840 4,455
90 1,072 841 1,311 3,834 3,482 4,262
91 872 679 1,070 3,495 3,081 3,999
92 704 547 865 3,109 2,641 3,680
93 552 429 678 2,704 2,213 3,314
94 422 329 518 2,305 1,824 2,913
95 315 246.7 385 1,918 1,469 2,493
96 227.9 180.2 277 1,555 1,150 2,080
97 160.2 128.3 193.1 1,219 866 1,683
98 109.4 89.1 130.4 924 629 1,317
99 73.5 61.5 86.1 677 441 994
100 0 2.72 0 325 138.2 585

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about the Congo and Maldives demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Life expectancy

Life expectancy comparisons

Life expectancy vs Congo vs Maldives
Afghanistan Compare Compare
Albania Compare Compare
Algeria Compare Compare
Andorra Compare Compare
Angola Compare Compare
Antigua Compare Compare
Argentina Compare Compare
Armenia Compare Compare
Australia Compare Compare
Austria Compare Compare
Azerbaijan Compare Compare
Bahamas Compare Compare
Bahrain Compare Compare
Bangladesh Compare Compare
Barbados Compare Compare
Belarus Compare Compare
Belgium Compare Compare
Belize Compare Compare
Benin Compare Compare
Bhutan Compare Compare
Bolivia Compare Compare
Bosnia Compare Compare
Botswana Compare Compare
Brazil Compare Compare
Brunei Compare Compare
Bulgaria Compare Compare
Burkina Faso Compare Compare
Burundi Compare Compare
Cambodia Compare Compare
Cameroon Compare Compare
Canada Compare Compare
Cape Verde Compare Compare
Cayman Islands Compare Compare
CAR Compare Compare
Chad Compare Compare
Chile Compare Compare
China Compare Compare
Colombia Compare Compare
Comoros Compare Compare
Costa Rica Compare Compare
Croatia Compare Compare
Cuba Compare Compare
Curacao Compare Compare
Cyprus Compare Compare
Czech Republic Compare Compare
DR Congo Compare Compare
Denmark Compare Compare
Djibouti Compare Compare
Dominica Compare Compare
Dominican Republic Compare Compare
East Timor Compare Compare
Ecuador Compare Compare
Egypt Compare Compare
El Salvador Compare Compare
Equatorial Guinea Compare Compare
Eritrea Compare Compare
Estonia Compare Compare
Eswatini Compare Compare
Ethiopia Compare Compare
Fiji Compare Compare
Finland Compare Compare
France Compare Compare
Gabon Compare Compare
Gambia Compare Compare
Georgia Compare Compare
Germany Compare Compare
Ghana Compare Compare
Greece Compare Compare
Grenada Compare Compare
Guatemala Compare Compare
Guinea Compare Compare
Guinea-Bissau Compare Compare
Guyana Compare Compare
Haiti Compare Compare
Honduras Compare Compare
Hungary Compare Compare
Iceland Compare Compare
India Compare Compare
Indonesia Compare Compare
Iran Compare Compare
Iraq Compare Compare
Ireland Compare Compare
Israel Compare Compare
Italy Compare Compare
Ivory Coast Compare Compare
Jamaica Compare Compare
Japan Compare Compare
Jordan Compare Compare
Kazakhstan Compare Compare
Kenya Compare Compare
Kiribati Compare Compare
Kuwait Compare Compare
Kyrgyzstan Compare Compare
Laos Compare Compare
Latvia Compare Compare
Lebanon Compare Compare
Lesotho Compare Compare
Liberia Compare Compare
Libya Compare Compare
Liechtenstein Compare Compare
Lithuania Compare Compare
Luxembourg Compare Compare
Madagascar Compare Compare
Malawi Compare Compare
Malaysia Compare Compare
Mali Compare Compare
Malta Compare Compare
Marshall Islands Compare Compare
Mauritania Compare Compare
Mauritius Compare Compare
Mexico Compare Compare
Moldova Compare Compare
Monaco Compare Compare
Mongolia Compare Compare
Montenegro Compare Compare
Morocco Compare Compare
Mozambique Compare Compare
Myanmar Compare Compare
Namibia Compare Compare
Nauru Compare Compare
Nepal Compare Compare
Netherlands Compare Compare
New Zealand Compare Compare
Nicaragua Compare Compare
Niger Compare Compare
Nigeria Compare Compare
North Korea Compare Compare
North Macedonia Compare Compare
Norway Compare Compare
Oman Compare Compare
Pakistan Compare Compare
Palau Compare Compare
Palestine Compare Compare
Panama Compare Compare
Papua New Guinea Compare Compare
Paraguay Compare Compare
Peru Compare Compare
Philippines Compare Compare
Poland Compare Compare
Portugal Compare Compare
Qatar Compare Compare
Romania Compare Compare
Russia Compare Compare
Rwanda Compare Compare
Saint Kitts Compare Compare
Saint Lucia Compare Compare
Saint Vincent Compare Compare
Samoa Compare Compare
San Marino Compare Compare
Sao Tome Compare Compare
Saudi Arabia Compare Compare
Senegal Compare Compare
Serbia Compare Compare
Seychelles Compare Compare
Sierra Leone Compare Compare
Singapore Compare Compare
Slovakia Compare Compare
Slovenia Compare Compare
Solomon Islands Compare Compare
Somalia Compare Compare
South Africa Compare Compare
South Korea Compare Compare
South Sudan Compare Compare
Spain Compare Compare
Sri Lanka Compare Compare
Sudan Compare Compare
Suriname Compare Compare
Sweden Compare Compare
Switzerland Compare Compare
Syria Compare Compare
Taiwan Compare Compare
Tajikistan Compare Compare
Tanzania Compare Compare
Thailand Compare Compare
Togo Compare Compare
Tonga Compare Compare
Trinidad Compare Compare
Tunisia Compare Compare
Turkey Compare Compare
Turkmenistan Compare Compare
Tuvalu Compare Compare
Uganda Compare Compare
Ukraine Compare Compare
UAE Compare Compare
United Kingdom Compare Compare
United States Compare Compare
Uruguay Compare Compare
Uzbekistan Compare Compare
Vanuatu Compare Compare
Vatican Compare Compare
Venezuela Compare Compare
Vietnam Compare Compare
Yemen Compare Compare
Zambia Compare Compare
Zimbabwe Compare Compare