Skip to content

Life Expectancy in DR Congo vs Pakistan (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 62.4 years in the DR Congo vs 68.1 in Pakistan. The DR Congo is ranked 185/197 by life expectancy, and Pakistan is 151/197. In the DR Congo, the life expectancy is 60.2 years for males and 64.6 years for females. In Pakistan, it's 65.7 years for males and 70.6 years for females.

DR Congo vs Pakistan life expectancy at birth by year

DR Congo
Male

Female
Pakistan
Male

Female
1x
Year Life expectancy, years
DR Congo Pakistan
Average Male Female Average Male Female
2026 62.4 60.2 64.6 68.1 65.7 70.6
2025 62.2 60.1 64.4 67.9 65.6 70.5
2024 62.1 60 64.2 67.8 65.5 70.3
2023 61.9 59.8 64 67.6 65.3 70.2
2022 61 58.9 63.1 67.4 65.1 69.9
2021 60 58 62.1 65.8 63.5 68.3
2020 60.4 58.4 62.5 65.7 63.3 68.4
2019 60.2 58.4 62.2 66.7 64.5 69.2
2018 59.9 58.1 61.8 66.5 64.3 68.9
2017 59.5 57.7 61.3 66.2 64 68.7
2016 59.1 57.3 60.9 65.9 63.8 68.4
2015 58.7 56.9 60.4 65.6 63.5 68.1
2014 58.2 56.5 59.9 65.4 63.2 67.8
2013 57.8 56.1 59.5 65.1 63 67.5
2012 57.4 55.7 59 64.9 62.8 67.3
2011 56.9 55.3 58.5 64.7 62.6 67
2010 56.4 54.8 58 64.4 62.3 66.7
2009 55.8 54.2 57.4 64.2 62.2 66.5
2008 55.4 53.8 56.9 64 62.1 66.2
2007 55 53.4 56.5 63.8 62 65.9
2006 54.5 52.9 56.1 63.6 62 65.5
2005 54 52.4 55.6 62.4 61.1 63.9
2004 53.5 51.9 55.2 63.1 61.9 64.5
2003 53 51.2 54.8 62.8 61.7 64.1
2002 52.4 50.4 54.4 62.6 61.6 63.7
2001 52.2 50.3 54.1 62.2 61.3 63.3
2000 51.9 50 53.8 61.9 61 62.9
1999 50.1 47 53.4 61.5 60.7 62.5
1998 49.7 46.6 53 61.1 60.4 62
1997 50.5 48.4 52.6 60.6 59.9 61.6
1996 49.4 47.1 51.7 60.5 59.8 61.3
1995 50.4 48.7 52.1 60.3 59.7 61
1994 49.9 48.3 51.5 60.2 59.6 60.9
1993 49.6 48 51.2 60.1 59.5 60.8
1992 49.3 47.9 50.7 60 59.3 60.9
1991 48.9 47.7 50.2 59.9 59 60.9
1990 48.5 47.4 49.7 59.7 58.8 60.8
1989 48.1 47.1 49.2 59.5 58.6 60.6
1988 47.8 46.8 48.7 59.4 58.5 60.5
1987 47.4 46.5 48.2 59.2 58.4 60.3
1986 47 46.2 47.8 59.2 58.4 60.2
1985 46.7 45.8 47.5 59.1 58.2 60.1
1984 46.5 45.6 47.4 58.9 58 60.1
1983 46.2 45.3 47.1 58.7 57.7 59.9
1982 45.9 45 46.8 58.3 57.4 59.5
1981 45.7 44.8 46.6 57.8 56.9 58.9
1980 45.5 44.6 46.4 57.2 56.5 58.2
1979 45.3 44.3 46.2 56.6 56.1 57.4
1978 44.6 43.4 45.8 56.1 55.7 56.6
1977 44.9 43.8 45.9 55.5 55.3 55.8
1976 44.7 43.6 45.7 55.1 55.1 55.1
1975 44.5 43.4 45.6 54.7 54.9 54.6
1974 44.3 43.1 45.4 54.3 54.6 54
1973 44.1 42.9 45.2 54.1 54.6 53.6
1972 43.9 42.7 45 53.8 54.4 53.2
1971 43.6 42.4 44.7 49 48.2 50
1970 43.3 42.1 44.5 52.9 53.8 52
1969 43 41.8 44.1 52.3 53.2 51.3
1968 42.7 41.5 43.8 51.6 52.7 50.4
1967 42.3 41.1 43.5 50.8 51.9 49.4
1966 42.2 41 43.3 49.8 51.1 48.3
1965 40.8 39 42.4 48.5 50 46.8
1964 40.1 38.2 41.9 47.8 49.4 46.1
1963 40.6 39.1 42 46.8 48.5 44.8
1962 40.4 38.8 41.8 45.9 47.7 43.7
1961 40.2 38.6 41.6 45 46.8 42.8
1960 40.8 39.5 41.9 44.1 46 42
1959 40.6 39.4 41.7 43.3 45.2 41.2
1958 40.5 39.3 41.6 42.5 44.2 40.5
1957 40.2 39 41.3 41.6 43.3 39.6
1956 39.9 38.7 41 40.6 42.2 38.7
1955 39.7 38.4 40.8 39.6 41.2 37.8
1954 39.4 38.2 40.5 38.6 40 36.9
1953 39.1 38 40.2 37.6 39 35.9
1952 38.9 37.7 39.9 36.5 37.8 34.9
1951 38.5 37.3 39.6 35.4 36.6 33.9
1950 38.2 37.1 39.3 34.2 35.4 32.8

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

GeoRank.org/life-expectancy/dr-congo/pakistan | 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 53.2 years in the DR Congo and 56.9 in Pakistan. People who reach age 60 can expect an additional 11.5 healthy years in the DR Congo and 12.5 in Pakistan.

DR Congo vs Pakistan 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 the DR Congo and Pakistan, 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:
41.0 vs 43.4 years

Mean expected age of death:
71.0 vs 73.4 years

Median expected age of death:
73.8 vs 75.6 years

Odds of living to

Target age Survival probability
DR Congo Pakistan
Male Female Male Female
40 94.8% 96.1% 97.6% 98.4%
50 87.8% 90.6% 92.9% 95.3%
60 76.4% 81.8% 82.2% 88.4%
65 67.8% 74.6% 73.1% 82.3%
70 56.5% 64.4% 60.9% 72.8%
75 42.4% 50.6% 45.4% 58.8%
80 26.8% 34.2% 28.4% 40.8%
85 12.9% 18.0% 13.4% 21.6%
90 4.1% 6.6% 4.0% 7.7%
95 0.6% 1.5% 0.6% 1.6%
100 0.0% 0.2% 0.0% 0.1%

Life expectancy by current age

DR Congo
Male

Female
Pakistan
Male

Female
1x
Current age, years Total life expectancy, years
DR Congo Pakistan
Average Male Female Average Male Female
100 101.8 101.7 101.8 101.7 101.6 101.7
99 100.8 100.7 100.9 100.7 100.6 100.8
98 99.9 99.8 100 99.8 99.7 99.8
97 99 98.8 99.1 98.9 98.8 98.9
96 98.1 97.9 98.2 98 97.9 98
95 97.3 97 97.3 97.1 97 97.2
94 96.4 96.2 96.5 96.2 96.1 96.3
93 95.5 95.3 95.7 95.4 95.2 95.5
92 94.7 94.4 94.8 94.6 94.3 94.7
91 93.9 93.6 94 93.7 93.5 93.9
90 93.1 92.8 93.3 92.9 92.7 93.1
89 92.3 92 92.5 92.1 91.9 92.3
88 91.5 91.2 91.7 91.4 91.1 91.6
87 90.8 90.4 91 90.6 90.3 90.8
86 90 89.7 90.2 89.9 89.6 90.1
85 89.3 89 89.5 89.1 88.9 89.4
84 88.6 88.3 88.8 88.4 88.1 88.7
83 87.9 87.6 88.1 87.7 87.4 88
82 87.2 86.9 87.4 87.1 86.8 87.3
81 86.5 86.2 86.8 86.4 86.1 86.7
80 85.9 85.6 86.1 85.8 85.4 86.1
79 85.3 84.9 85.5 85.2 84.8 85.5
78 84.7 84.3 85 84.6 84.2 85
77 84.1 83.7 84.4 84.1 83.6 84.5
76 83.6 83.2 83.9 83.5 83 84
75 83 82.6 83.4 83 82.5 83.5
74 82.5 82.1 82.9 82.5 81.9 83
73 82 81.6 82.4 82 81.4 82.6
72 81.5 81.1 81.9 81.6 80.9 82.2
71 81.1 80.6 81.5 81.1 80.4 81.8
70 80.6 80.1 81 80.7 80 81.4
69 80.2 79.7 80.6 80.3 79.5 81.1
68 79.8 79.2 80.3 79.9 79.1 80.7
67 79.4 78.8 79.9 79.6 78.7 80.4
66 79 78.4 79.5 79.2 78.3 80.1
65 78.6 78 79.2 78.9 77.9 79.8
64 78.3 77.6 78.9 78.6 77.5 79.6
63 78 77.3 78.6 78.3 77.2 79.3
62 77.6 76.9 78.3 78 76.8 79.1
61 77.3 76.6 78 77.7 76.5 78.8
60 77.1 76.3 77.8 77.4 76.2 78.6
59 76.8 76 77.5 77.2 75.9 78.4
58 76.5 75.7 77.3 76.9 75.6 78.2
57 76.3 75.4 77.1 76.7 75.4 78
56 76 75.1 76.8 76.5 75.1 77.9
55 75.8 74.9 76.6 76.3 74.9 77.7
54 75.5 74.6 76.4 76.1 74.6 77.5
53 75.3 74.3 76.2 75.9 74.4 77.4
52 75 74.1 76 75.7 74.2 77.2
51 74.8 73.8 75.8 75.5 74 77.1
50 74.6 73.6 75.6 75.4 73.8 77
49 74.4 73.3 75.4 75.2 73.7 76.8
48 74.2 73.1 75.2 75.1 73.5 76.7
47 74 72.9 75.1 75 73.3 76.6
46 73.8 72.7 74.9 74.8 73.2 76.5
45 73.6 72.5 74.7 74.7 73.1 76.4
44 73.4 72.3 74.5 74.6 72.9 76.3
43 73.2 72.1 74.4 74.5 72.8 76.2
42 73.1 71.9 74.2 74.4 72.7 76.1
41 72.9 71.7 74 74.3 72.6 76.1
40 72.7 71.5 73.9 74.2 72.5 76
39 72.5 71.3 73.7 74.1 72.4 75.9
38 72.3 71.1 73.5 74 72.3 75.8
37 72.2 70.9 73.4 73.9 72.2 75.8
36 72 70.7 73.2 73.9 72.1 75.7
35 71.8 70.5 73.1 73.8 72 75.6
34 71.7 70.3 72.9 73.7 71.9 75.6
33 71.5 70.2 72.8 73.6 71.8 75.5
32 71.3 70 72.6 73.6 71.8 75.4
31 71.1 69.8 72.5 73.5 71.7 75.4
30 71 69.6 72.3 73.4 71.6 75.3
29 70.8 69.4 72.2 73.3 71.5 75.3
28 70.6 69.2 72 73.3 71.4 75.2
27 70.5 69 71.9 73.2 71.3 75.2
26 70.3 68.8 71.8 73.1 71.3 75.1
25 70.1 68.6 71.6 73.1 71.2 75.1
24 69.9 68.4 71.5 73 71.1 75
23 69.8 68.2 71.3 72.9 71 75
22 69.6 68 71.2 72.9 70.9 74.9
21 69.4 67.8 71.1 72.8 70.8 74.9
20 69.3 67.6 70.9 72.7 70.7 74.8
19 69.1 67.4 70.8 72.7 70.6 74.8
18 69 67.2 70.7 72.6 70.6 74.8
17 68.8 67.1 70.6 72.5 70.5 74.7
16 68.7 67 70.4 72.5 70.4 74.7
15 68.6 66.8 70.3 72.5 70.4 74.7
14 68.5 66.7 70.2 72.4 70.3 74.6
13 68.4 66.6 70.1 72.4 70.3 74.6
12 68.3 66.5 70 72.3 70.3 74.6
11 68.2 66.4 69.9 72.3 70.2 74.5
10 68 66.3 69.8 72.3 70.2 74.5
9 67.9 66.1 69.7 72.3 70.1 74.5
8 67.7 65.9 69.5 72.2 70.1 74.5
7 67.5 65.7 69.4 72.2 70 74.5
6 67.3 65.5 69.1 72.1 70 74.4
5 67 65.2 68.9 72.1 69.9 74.4
4 66.7 64.9 68.6 72 69.8 74.3
3 66.4 64.5 68.3 71.8 69.6 74.2
2 66 64.1 67.9 71.7 69.5 74
1 65.5 63.6 67.4 71.4 69.2 73.7
0 62.4 60.2 64.6 68.1 65.7 70.6

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

GeoRank.org/life-expectancy/dr-congo/pakistan | 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 the DR Congo can expect to live to 71 years compared to 73.4 in Pakistan, rising to 78.6 and 78.9 at 65, and to 85.9 and 85.8 at 80 — higher than the 62.4 and 68.1 years calculated at birth.

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

Probability of surviving to a given age

DR Congo
Male

Female
Pakistan
Male

Female
1x
Age Survival probability
DR Congo Pakistan
Average Male Female Average Male Female
100 0.09% 0.04% 0.14% 0.08% 0.04% 0.13%
99 0.15% 0.07% 0.23% 0.13% 0.07% 0.22%
98 0.25% 0.13% 0.37% 0.23% 0.12% 0.37%
97 0.4% 0.21% 0.58% 0.38% 0.2% 0.61%
96 0.61% 0.34% 0.88% 0.62% 0.33% 0.96%
95 0.92% 0.54% 1.3% 0.95% 0.54% 1.46%
94 1.34% 0.83% 1.85% 1.43% 0.84% 2.14%
93 1.9% 1.24% 2.56% 2.07% 1.27% 3.03%
92 2.62% 1.79% 3.45% 2.92% 1.86% 4.16%
91 3.52% 2.51% 4.53% 3.99% 2.65% 5.55%
90 4.61% 3.42% 5.82% 5.31% 3.65% 7.22%
89 5.92% 4.52% 7.34% 6.9% 4.88% 9.2%
88 7.45% 5.83% 9.1% 8.76% 6.34% 11.5%
87 9.2% 7.33% 11.1% 10.9% 8.05% 14.1%
86 11.2% 9.03% 13.3% 13.3% 9.99% 17%
85 13.3% 10.9% 15.8% 15.9% 12.2% 20.1%
84 15.7% 13% 18.4% 18.8% 14.6% 23.5%
83 18.2% 15.2% 21.2% 21.9% 17.1% 27%
82 20.8% 17.6% 24% 25.1% 19.9% 30.7%
81 23.5% 20.1% 27% 28.3% 22.8% 34.3%
80 26.3% 22.6% 30% 31.7% 25.8% 38%
79 29.1% 25.3% 33% 35% 28.9% 41.6%
78 31.9% 27.9% 35.9% 38.3% 32% 45.1%
77 34.6% 30.5% 38.8% 41.6% 35.1% 48.5%
76 37.3% 33.2% 41.6% 44.8% 38.2% 51.7%
75 40% 35.7% 44.4% 47.8% 41.3% 54.8%
74 42.6% 38.3% 47% 50.8% 44.3% 57.8%
73 45.1% 40.8% 49.6% 53.6% 47.2% 60.6%
72 47.5% 43.1% 52% 56.4% 50% 63.2%
71 49.8% 45.4% 54.3% 58.9% 52.7% 65.6%
70 52% 47.6% 56.5% 61.4% 55.3% 67.8%
69 54.1% 49.7% 58.5% 63.7% 57.8% 69.9%
68 56% 51.7% 60.4% 65.8% 60.1% 71.8%
67 57.9% 53.6% 62.2% 67.8% 62.4% 73.6%
66 59.6% 55.4% 63.9% 69.7% 64.5% 75.2%
65 61.3% 57.2% 65.4% 71.4% 66.4% 76.7%
64 62.8% 58.8% 66.9% 73% 68.3% 78.1%
63 64.3% 60.3% 68.3% 74.6% 70.1% 79.3%
62 65.6% 61.8% 69.5% 76% 71.7% 80.4%
61 66.9% 63.2% 70.6% 77.3% 73.3% 81.5%
60 68% 64.4% 71.7% 78.5% 74.7% 82.5%
59 69.1% 65.6% 72.7% 79.6% 76% 83.4%
58 70.1% 66.7% 73.6% 80.6% 77.3% 84.2%
57 71.1% 67.8% 74.5% 81.6% 78.5% 84.9%
56 72% 68.8% 75.3% 82.5% 79.5% 85.6%
55 72.9% 69.8% 76.1% 83.3% 80.5% 86.3%
54 73.7% 70.7% 76.8% 84.1% 81.4% 86.9%
53 74.5% 71.6% 77.5% 84.8% 82.3% 87.4%
52 75.3% 72.5% 78.2% 85.4% 83% 87.9%
51 76% 73.3% 78.9% 86% 83.8% 88.4%
50 76.7% 74.1% 79.5% 86.6% 84.4% 88.9%
49 77.4% 74.8% 80% 87.1% 85% 89.3%
48 78% 75.4% 80.5% 87.5% 85.6% 89.6%
47 78.5% 76.1% 81% 88% 86.1% 90%
46 79.1% 76.7% 81.5% 88.4% 86.6% 90.3%
45 79.6% 77.3% 82% 88.7% 87% 90.6%
44 80.1% 77.9% 82.5% 89.1% 87.4% 90.9%
43 80.7% 78.4% 82.9% 89.4% 87.8% 91.1%
42 81.2% 79% 83.4% 89.7% 88.1% 91.4%
41 81.6% 79.5% 83.8% 89.9% 88.4% 91.6%
40 82.1% 80% 84.2% 90.2% 88.7% 91.8%
39 82.5% 80.5% 84.6% 90.4% 89% 92%
38 83% 80.9% 85% 90.6% 89.2% 92.1%
37 83.4% 81.4% 85.4% 90.8% 89.5% 92.3%
36 83.8% 81.8% 85.7% 91% 89.7% 92.5%
35 84.1% 82.3% 86.1% 91.2% 89.9% 92.6%
34 84.5% 82.7% 86.4% 91.4% 90.1% 92.7%
33 84.9% 83.1% 86.7% 91.6% 90.3% 92.9%
32 85.3% 83.5% 87.1% 91.7% 90.5% 93%
31 85.6% 83.9% 87.4% 91.9% 90.7% 93.1%
30 86% 84.4% 87.7% 92% 90.9% 93.2%
29 86.4% 84.8% 88% 92.2% 91% 93.4%
28 86.7% 85.1% 88.3% 92.3% 91.2% 93.5%
27 87.1% 85.5% 88.6% 92.4% 91.4% 93.6%
26 87.4% 85.9% 88.9% 92.6% 91.5% 93.7%
25 87.7% 86.3% 89.1% 92.7% 91.7% 93.8%
24 88.1% 86.7% 89.4% 92.8% 91.9% 93.9%
23 88.4% 87.1% 89.7% 93% 92.1% 93.9%
22 88.7% 87.5% 89.9% 93.1% 92.2% 94%
21 89% 87.9% 90.2% 93.2% 92.4% 94.1%
20 89.3% 88.3% 90.4% 93.4% 92.6% 94.2%
19 89.6% 88.6% 90.6% 93.5% 92.7% 94.3%
18 89.9% 88.9% 90.9% 93.6% 92.9% 94.3%
17 90.1% 89.2% 91.1% 93.7% 93% 94.4%
16 90.3% 89.5% 91.2% 93.7% 93.1% 94.4%
15 90.5% 89.7% 91.4% 93.8% 93.2% 94.5%
14 90.7% 89.9% 91.6% 93.9% 93.3% 94.5%
13 90.9% 90% 91.7% 93.9% 93.3% 94.6%
12 91.1% 90.2% 91.9% 94% 93.4% 94.6%
11 91.2% 90.4% 92.1% 94% 93.5% 94.6%
10 91.4% 90.6% 92.2% 94.1% 93.5% 94.7%
9 91.6% 90.9% 92.4% 94.1% 93.6% 94.7%
8 91.9% 91.1% 92.7% 94.2% 93.6% 94.7%
7 92.2% 91.5% 92.9% 94.2% 93.7% 94.8%
6 92.5% 91.8% 93.3% 94.3% 93.8% 94.8%
5 92.9% 92.3% 93.6% 94.4% 93.9% 94.9%
4 93.4% 92.8% 94.1% 94.5% 94.1% 95%
3 93.9% 93.3% 94.5% 94.7% 94.3% 95.2%
2 94.6% 94% 95.1% 95% 94.6% 95.4%
1 95.3% 94.7% 95.8% 95.3% 94.9% 95.8%

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

GeoRank.org/life-expectancy/dr-congo/pakistan | CC BY

This chart shows the odds of living to each age from birth. 68% of newborns in the DR Congo and 78.5% in Pakistan are expected to live past 60, 52% and 61.4% past 70, 26.3% and 31.7% past 80, and only 4.61% and 5.31% 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

DR Congo
Male

Female
Pakistan
Male

Female
1x
Age Probability of dying
DR Congo Pakistan
Average Male Female Average Male Female
100 43% 46.5% 42.1% 46% 47.6% 45.4%
99 41% 44.6% 40% 43.8% 45.7% 43%
98 39.2% 42.6% 38.2% 41.9% 43.7% 41%
97 37.3% 40.6% 36.2% 39.8% 41.7% 38.9%
96 35.4% 38.6% 34.1% 37.7% 39.8% 36.6%
95 33.4% 36.7% 32% 35.5% 37.9% 34.2%
94 31.3% 34.8% 29.8% 33.2% 35.9% 31.7%
93 29.4% 32.9% 27.7% 31% 33.9% 29.4%
92 27.4% 30.8% 25.7% 28.9% 31.8% 27.1%
91 25.6% 28.7% 23.9% 26.9% 29.6% 25.1%
90 23.8% 26.5% 22.2% 24.9% 27.4% 23.2%
89 22.1% 24.4% 20.7% 23% 25.2% 21.5%
88 20.5% 22.4% 19.3% 21.3% 23.1% 19.9%
87 19% 20.5% 18% 19.6% 21.2% 18.4%
86 17.6% 18.8% 16.7% 18.1% 19.4% 17%
85 16.2% 17.3% 15.5% 16.6% 17.9% 15.7%
84 15% 15.9% 14.3% 15.3% 16.4% 14.3%
83 13.8% 14.7% 13.1% 14% 15.1% 13.1%
82 12.6% 13.5% 12% 12.8% 13.9% 11.9%
81 11.6% 12.4% 10.9% 11.6% 12.7% 10.7%
80 10.5% 11.3% 9.95% 10.5% 11.7% 9.64%
79 9.61% 10.4% 9.03% 9.54% 10.7% 8.66%
78 8.76% 9.47% 8.2% 8.64% 9.71% 7.77%
77 7.99% 8.65% 7.46% 7.82% 8.86% 6.98%
76 7.3% 7.91% 6.79% 7.08% 8.08% 6.28%
75 6.67% 7.24% 6.2% 6.43% 7.38% 5.65%
74 6.1% 6.63% 5.65% 5.84% 6.74% 5.09%
73 5.57% 6.06% 5.15% 5.3% 6.16% 4.58%
72 5.07% 5.54% 4.68% 4.82% 5.63% 4.12%
71 4.62% 5.05% 4.25% 4.37% 5.14% 3.7%
70 4.2% 4.61% 3.85% 3.97% 4.7% 3.32%
69 3.82% 4.21% 3.48% 3.6% 4.29% 2.98%
68 3.48% 3.86% 3.16% 3.26% 3.91% 2.67%
67 3.18% 3.54% 2.87% 2.96% 3.57% 2.4%
66 2.92% 3.27% 2.61% 2.68% 3.27% 2.15%
65 2.68% 3.02% 2.38% 2.44% 2.99% 1.93%
64 2.46% 2.78% 2.17% 2.22% 2.74% 1.74%
63 2.25% 2.56% 1.98% 2.02% 2.51% 1.57%
62 2.06% 2.35% 1.8% 1.85% 2.3% 1.42%
61 1.88% 2.15% 1.63% 1.69% 2.11% 1.29%
60 1.71% 1.96% 1.48% 1.54% 1.93% 1.17%
59 1.57% 1.8% 1.35% 1.41% 1.77% 1.07%
58 1.45% 1.67% 1.24% 1.29% 1.62% 0.97%
57 1.35% 1.56% 1.16% 1.18% 1.48% 0.89%
56 1.27% 1.47% 1.09% 1.08% 1.35% 0.82%
55 1.21% 1.4% 1.03% 0.99% 1.23% 0.75%
54 1.15% 1.33% 0.98% 0.9% 1.12% 0.69%
53 1.09% 1.27% 0.92% 0.83% 1.02% 0.63%
52 1.03% 1.2% 0.87% 0.76% 0.93% 0.58%
51 0.96% 1.12% 0.81% 0.69% 0.85% 0.54%
50 0.89% 1.04% 0.75% 0.64% 0.78% 0.5%
49 0.83% 0.96% 0.7% 0.59% 0.71% 0.46%
48 0.77% 0.89% 0.65% 0.54% 0.65% 0.42%
47 0.73% 0.84% 0.62% 0.49% 0.6% 0.39%
46 0.69% 0.8% 0.6% 0.45% 0.54% 0.35%
45 0.67% 0.76% 0.58% 0.41% 0.5% 0.33%
44 0.65% 0.74% 0.57% 0.38% 0.46% 0.3%
43 0.63% 0.71% 0.56% 0.35% 0.42% 0.27%
42 0.61% 0.69% 0.54% 0.32% 0.38% 0.25%
41 0.59% 0.66% 0.52% 0.3% 0.35% 0.24%
40 0.56% 0.63% 0.5% 0.27% 0.33% 0.22%
39 0.54% 0.6% 0.47% 0.26% 0.31% 0.2%
38 0.51% 0.58% 0.45% 0.24% 0.29% 0.19%
37 0.49% 0.56% 0.43% 0.23% 0.27% 0.18%
36 0.47% 0.54% 0.41% 0.21% 0.25% 0.17%
35 0.46% 0.53% 0.4% 0.2% 0.24% 0.16%
34 0.45% 0.52% 0.39% 0.19% 0.23% 0.15%
33 0.44% 0.51% 0.38% 0.18% 0.22% 0.14%
32 0.44% 0.5% 0.37% 0.17% 0.21% 0.14%
31 0.43% 0.49% 0.36% 0.17% 0.2% 0.13%
30 0.42% 0.48% 0.36% 0.16% 0.2% 0.12%
29 0.41% 0.47% 0.35% 0.16% 0.19% 0.12%
28 0.4% 0.47% 0.34% 0.15% 0.19% 0.11%
27 0.4% 0.46% 0.33% 0.15% 0.19% 0.11%
26 0.39% 0.46% 0.32% 0.15% 0.19% 0.11%
25 0.38% 0.46% 0.31% 0.15% 0.19% 0.1%
24 0.38% 0.46% 0.3% 0.15% 0.19% 0.1%
23 0.37% 0.46% 0.29% 0.14% 0.19% 0.1%
22 0.37% 0.45% 0.28% 0.14% 0.19% 0.09%
21 0.35% 0.44% 0.27% 0.14% 0.18% 0.09%
20 0.34% 0.41% 0.26% 0.13% 0.17% 0.08%
19 0.32% 0.38% 0.25% 0.12% 0.16% 0.08%
18 0.29% 0.34% 0.24% 0.11% 0.15% 0.07%
17 0.26% 0.31% 0.22% 0.1% 0.13% 0.06%
16 0.24% 0.27% 0.21% 0.09% 0.11% 0.06%
15 0.22% 0.24% 0.19% 0.08% 0.1% 0.05%
14 0.2% 0.22% 0.18% 0.07% 0.09% 0.05%
13 0.19% 0.21% 0.17% 0.06% 0.08% 0.04%
12 0.19% 0.2% 0.17% 0.05% 0.07% 0.04%
11 0.19% 0.21% 0.18% 0.05% 0.07% 0.04%
10 0.21% 0.23% 0.19% 0.05% 0.07% 0.03%
9 0.24% 0.26% 0.22% 0.05% 0.07% 0.03%
8 0.28% 0.3% 0.25% 0.06% 0.07% 0.04%
7 0.32% 0.35% 0.29% 0.06% 0.09% 0.04%
6 0.37% 0.41% 0.34% 0.08% 0.1% 0.05%
5 0.43% 0.47% 0.4% 0.1% 0.13% 0.07%
4 0.5% 0.54% 0.46% 0.13% 0.16% 0.1%
3 0.57% 0.61% 0.52% 0.19% 0.21% 0.16%
2 0.65% 0.69% 0.6% 0.27% 0.28% 0.26%
1 0.74% 0.79% 0.69% 0.4% 0.37% 0.42%
0 4.74% 5.25% 4.22% 4.65% 5.09% 4.19%

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

GeoRank.org/life-expectancy/dr-congo/pakistan | CC BY

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

The annual chance of dying is 4.74% in the birth year in the DR Congo and 4.65% in Pakistan, 0.42% vs 0.16% at age 30, 1.71% vs 1.54% at 60, and 10.5% vs 10.5% at 80.

Death rate by age in DR Congo vs Pakistan

DR Congo
Male

Female
Pakistan
Male

Female
1x
Age Death rate
DR Congo Pakistan
Total Male Female Total Male Female
100 0 0 0 0 0 0
99 62 32 91.8 58.8 30.2 94.6
98 97.5 53.2 141.6 96.7 51.2 153
97 148 85.4 210.7 152.8 83.9 237.3
96 216.9 132.6 302 231.9 132.9 352
95 307 199.2 415 338 203.5 500
94 420 289.7 552 475 301 680
93 557 407 709 643 431 890
92 718 552 886 843 593 1,128
91 900 721 1,082 1,071 785 1,390
90 1,099 907 1,294 1,322 1,000 1,675
89 1,310 1,104 1,520 1,588 1,230 1,977
88 1,528 1,304 1,756 1,862 1,467 2,288
87 1,746 1,503 1,994 2,135 1,705 2,597
86 1,959 1,699 2,225 2,400 1,941 2,889
85 2,160 1,888 2,438 2,648 2,171 3,152
84 2,342 2,067 2,625 2,868 2,391 3,370
83 2,499 2,231 2,776 3,053 2,593 3,533
82 2,625 2,371 2,886 3,195 2,768 3,635
81 2,716 2,484 2,954 3,290 2,909 3,677
80 2,771 2,565 2,983 3,339 3,013 3,663
79 2,794 2,617 2,977 3,344 3,080 3,603
78 2,791 2,641 2,945 3,312 3,111 3,507
77 2,766 2,642 2,893 3,250 3,113 3,386
76 2,724 2,624 2,827 3,169 3,091 3,248
75 2,669 2,589 2,749 3,074 3,047 3,097
74 2,597 2,537 2,657 2,965 2,985 2,939
73 2,511 2,470 2,552 2,845 2,907 2,773
72 2,412 2,389 2,435 2,714 2,815 2,602
71 2,302 2,296 2,307 2,576 2,711 2,428
70 2,185 2,196 2,173 2,433 2,597 2,254
69 2,067 2,094 2,038 2,289 2,477 2,083
68 1,952 1,995 1,907 2,145 2,353 1,919
67 1,843 1,901 1,784 2,005 2,229 1,763
66 1,741 1,811 1,668 1,871 2,106 1,617
65 1,642 1,725 1,559 1,743 1,986 1,482
64 1,545 1,637 1,452 1,622 1,869 1,358
63 1,448 1,546 1,349 1,509 1,756 1,245
62 1,350 1,452 1,248 1,403 1,648 1,142
61 1,254 1,356 1,151 1,304 1,544 1,049
60 1,164 1,265 1,061 1,211 1,443 965
59 1,082 1,181 982 1,124 1,345 889
58 1,014 1,111 915 1,041 1,251 819
57 959 1,055 862 964 1,159 756
56 916 1,011 819 890 1,072 698
55 881 976 784 822 989 646
54 848 943 751 758 911 598
53 813 907 717 700 838 554
52 774 866 680 646 772 513
51 729 818 639 597 711 476
50 683 768 597 551 656 441
49 639 718 559 509 605 409
48 602 674 527 470 557 378
47 572 638 503 433 513 348
46 550 611 487 398 472 321
45 534 590 476 366 434 294.9
44 522 573 469 337 399 271.4
43 510 558 461 310 367 250.3
42 496 541 450 286.7 339 231.7
41 480 523 436 265.8 314 215.3
40 461 503 418 247.4 291.4 200.9
39 442 484 398 231.3 272 188.2
38 424 466 380 217.2 255.1 176.8
37 408 452 363 204.7 240.4 166.4
36 396 441 350 193.6 227.5 156.9
35 388 434 340 183.5 216.3 148.2
34 381 428 333 174.5 206.3 140.2
33 376 423 328 166.4 197.5 133
32 371 418 323 159.3 189.7 126.4
31 366 412 319 153 183 120.6
30 361 407 313 147.6 177.5 115.4
29 355 401 307 143.3 173.5 110.9
28 350 398 299.9 140.1 171.1 106.9
27 345 397 291.6 137.9 170.3 103.3
26 341 398 282.8 136.6 170.9 100
25 338 400 273.8 135.8 172.4 96.8
24 335 403 265.4 135 174 93.4
23 331 402 258 133.5 174.7 89.7
22 325 397 251.5 130.8 173.4 85.6
21 315 384 245.4 126.5 169.1 81
20 302 364 238.6 120 161.3 76
19 283.9 337 229.9 111.7 150 70.8
18 262.3 306 218.4 101.9 136.1 65.5
17 238.7 272.7 204.2 91.4 120.7 60.3
16 215.6 241.9 188.8 81 105.3 55.2
15 195 215.6 174.2 71.4 91.2 50.3
14 179.5 196.1 162.6 63 79.4 45.7
13 170.6 184.9 156 56.3 70.4 41.3
12 169.3 182.8 155.5 51.4 64.4 37.6
11 176.5 190.4 162.3 48.3 61.3 34.6
10 192.5 207.9 176.9 47.3 61.1 32.8
9 218 235.8 199.9 48.6 63.8 32.6
8 252.8 273.8 231.4 52.7 69.9 34.6
7 296.1 321 270.8 60.5 80.3 39.7
6 347 376 317 73.5 96.2 49.5
5 404 436 370 94.2 119.5 67.4
4 466 502 429 126.6 153 98.7
3 534 573 494 177 199.9 152.9
2 612 653 570 255.7 265 245.8
1 706 750 662 378 354 403
0 4,741 5,250 4,223 4,650 5,086 4,193

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

GeoRank.org/life-expectancy/dr-congo/pakistan | 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 the DR Congo, the most common age of death is 0, compared to 0 in Pakistan. The median age of death is 70.9 in the DR Congo and 74.3 in Pakistan, 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 the DR Congo and Pakistan 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/dr-congo/pakistan | 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.