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Life Expectancy in Denmark vs Pakistan (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 82.4 years in Denmark vs 68.1 in Pakistan. Denmark is ranked 31/197 by life expectancy, and Pakistan is 151/197. In Denmark, the life expectancy is 80.6 years for males and 84.2 years for females. In Pakistan, it's 65.7 years for males and 70.6 years for females.

Denmark vs Pakistan life expectancy at birth by year

Denmark
Male

Female
Pakistan
Male

Female
1x
Year Life expectancy, years
Denmark Pakistan
Average Male Female Average Male Female
2026 82.4 80.6 84.2 68.1 65.7 70.6
2025 82.2 80.4 84.1 67.9 65.6 70.5
2024 82.1 80.2 84 67.8 65.5 70.3
2023 81.9 80 83.9 67.6 65.3 70.2
2022 81.3 79.4 83.2 67.4 65.1 69.9
2021 81.4 79.6 83.3 65.8 63.5 68.3
2020 81.5 79.6 83.5 65.7 63.3 68.4
2019 81.4 79.4 83.4 66.7 64.5 69.2
2018 81 79 83 66.5 64.3 68.9
2017 81.1 79.1 83.1 66.2 64 68.7
2016 80.9 78.9 82.8 65.9 63.8 68.4
2015 80.7 78.8 82.7 65.6 63.5 68.1
2014 80.6 78.6 82.7 65.4 63.2 67.8
2013 80.3 78.3 82.3 65.1 63 67.5
2012 80.1 78.1 82 64.9 62.8 67.3
2011 79.8 77.7 81.8 64.7 62.6 67
2010 79.2 77.1 81.3 64.4 62.3 66.7
2009 79 76.8 81 64.2 62.2 66.5
2008 78.7 76.5 80.9 64 62.1 66.2
2007 78.3 76.1 80.5 63.8 62 65.9
2006 78.2 75.9 80.5 63.6 62 65.5
2005 78.2 75.9 80.4 62.4 61.1 63.9
2004 77.8 75.4 80.1 63.1 61.9 64.5
2003 77.4 75 79.7 62.8 61.7 64.1
2002 77.1 74.8 79.3 62.6 61.6 63.7
2001 77 74.7 79.2 62.2 61.3 63.3
2000 76.8 74.4 79.1 61.9 61 62.9
1999 76.6 74.2 78.9 61.5 60.7 62.5
1998 76.4 73.9 78.9 61.1 60.4 62
1997 76 73.6 78.5 60.6 59.9 61.6
1996 75.7 73.1 78.3 60.5 59.8 61.3
1995 75.3 72.7 77.8 60.3 59.7 61
1994 75.4 72.8 78.1 60.2 59.6 60.9
1993 75.2 72.6 77.8 60.1 59.5 60.8
1992 75.3 72.6 78 60 59.3 60.9
1991 75.2 72.5 78 59.9 59 60.9
1990 74.9 72 77.7 59.7 58.8 60.8
1989 74.9 72 77.8 59.5 58.6 60.6
1988 74.8 72 77.6 59.4 58.5 60.5
1987 74.7 71.7 77.8 59.2 58.4 60.3
1986 74.6 71.8 77.5 59.2 58.4 60.2
1985 74.5 71.5 77.5 59.1 58.2 60.1
1984 74.6 71.7 77.6 58.9 58 60.1
1983 74.5 71.4 77.5 58.7 57.7 59.9
1982 74.6 71.6 77.7 58.3 57.4 59.5
1981 74.3 71.2 77.4 57.8 56.9 58.9
1980 74.1 71.2 77.2 57.2 56.5 58.2
1979 74.2 71.2 77.4 56.6 56.1 57.4
1978 74.4 71.5 77.4 56.1 55.7 56.6
1977 74.7 71.7 77.7 55.5 55.3 55.8
1976 73.8 70.9 76.7 55.1 55.1 55.1
1975 74.1 71.3 77 54.7 54.9 54.6
1974 73.8 70.9 76.8 54.3 54.6 54
1973 73.7 71 76.5 54.1 54.6 53.6
1972 73.5 70.8 76.2 53.8 54.4 53.2
1971 73.4 70.8 76.2 49 48.2 50
1970 73.4 70.9 75.9 52.9 53.8 52
1969 73.2 70.9 75.7 52.3 53.2 51.3
1968 73.1 70.8 75.6 51.6 52.7 50.4
1967 73 70.6 75.4 50.8 51.9 49.4
1966 72.5 70.2 74.8 49.8 51.1 48.3
1965 72.4 70.2 74.6 48.5 50 46.8
1964 72.5 70.3 74.8 47.8 49.4 46.1
1963 72.4 70.4 74.5 46.8 48.5 44.8
1962 72.4 70.3 74.4 45.9 47.7 43.7
1961 72.5 70.6 74.4 45 46.8 42.8
1960 72.2 70.4 74 44.1 46 42
1959 72.2 70.6 73.9 43.3 45.2 41.2
1958 72.2 70.5 74 42.5 44.2 40.5
1957 71.8 70.2 73.5 41.6 43.3 39.6
1956 72 70.4 73.7 40.6 42.2 38.7
1955 71.9 70.4 73.5 39.6 41.2 37.8
1954 71.3 69.9 72.8 38.6 40 36.9
1953 71.2 69.9 72.5 37.6 39 35.9
1952 70.8 69.4 72.1 36.5 37.8 34.9
1951 70.9 69.7 72.2 35.4 36.6 33.9
1950 70.3 69.1 71.5 34.2 35.4 32.8

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

GeoRank.org/life-expectancy/denmark/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 70.1 years in Denmark and 56.9 in Pakistan. People who reach age 60 can expect an additional 18 healthy years in Denmark and 12.5 in Pakistan.

Denmark 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 Denmark 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:
52.9 vs 43.4 years

Mean expected age of death:
82.9 vs 73.4 years

Median expected age of death:
85.3 vs 75.6 years

Odds of living to

Target age Survival probability
Denmark Pakistan
Male Female Male Female
40 99.4% 99.7% 97.6% 98.4%
50 98.0% 98.8% 92.9% 95.3%
60 93.7% 96.1% 82.2% 88.4%
65 89.4% 93.2% 73.1% 82.3%
70 83.3% 89.1% 60.9% 72.8%
75 74.8% 83.0% 45.4% 58.8%
80 62.5% 73.2% 28.4% 40.8%
85 44.7% 57.4% 13.4% 21.6%
90 23.5% 35.9% 4.0% 7.7%
95 7.1% 14.7% 0.6% 1.6%
100 1.0% 3.0% 0.0% 0.1%

Life expectancy by current age

Denmark
Male

Female
Pakistan
Male

Female
1x
Current age, years Total life expectancy, years
Denmark Pakistan
Average Male Female Average Male Female
100 102.1 101.8 102.2 101.7 101.6 101.7
99 101.2 100.9 101.3 100.7 100.6 100.8
98 100.4 100.1 100.5 99.8 99.7 99.8
97 99.6 99.2 99.7 98.9 98.8 98.9
96 98.8 98.4 98.9 98 97.9 98
95 98 97.6 98.1 97.1 97 97.2
94 97.2 96.8 97.4 96.2 96.1 96.3
93 96.5 96 96.7 95.4 95.2 95.5
92 95.8 95.3 96 94.6 94.3 94.7
91 95.1 94.6 95.4 93.7 93.5 93.9
90 94.4 93.9 94.7 92.9 92.7 93.1
89 93.8 93.2 94.2 92.1 91.9 92.3
88 93.2 92.6 93.6 91.4 91.1 91.6
87 92.6 92 93.1 90.6 90.3 90.8
86 92.1 91.4 92.5 89.9 89.6 90.1
85 91.6 90.9 92.1 89.1 88.9 89.4
84 91.1 90.3 91.6 88.4 88.1 88.7
83 90.6 89.8 91.2 87.7 87.4 88
82 90.2 89.4 90.8 87.1 86.8 87.3
81 89.7 88.9 90.4 86.4 86.1 86.7
80 89.4 88.5 90 85.8 85.4 86.1
79 89 88.1 89.7 85.2 84.8 85.5
78 88.7 87.7 89.4 84.6 84.2 85
77 88.3 87.4 89.1 84.1 83.6 84.5
76 88 87.1 88.8 83.5 83 84
75 87.7 86.7 88.6 83 82.5 83.5
74 87.4 86.4 88.3 82.5 81.9 83
73 87.2 86.1 88.1 82 81.4 82.6
72 86.9 85.8 87.9 81.6 80.9 82.2
71 86.7 85.6 87.7 81.1 80.4 81.8
70 86.4 85.3 87.5 80.7 80 81.4
69 86.2 85 87.3 80.3 79.5 81.1
68 86 84.8 87.1 79.9 79.1 80.7
67 85.8 84.5 87 79.6 78.7 80.4
66 85.6 84.3 86.8 79.2 78.3 80.1
65 85.4 84.1 86.6 78.9 77.9 79.8
64 85.2 83.9 86.5 78.6 77.5 79.6
63 85 83.7 86.3 78.3 77.2 79.3
62 84.8 83.5 86.2 78 76.8 79.1
61 84.7 83.3 86 77.7 76.5 78.8
60 84.5 83.1 85.9 77.4 76.2 78.6
59 84.4 82.9 85.8 77.2 75.9 78.4
58 84.3 82.8 85.7 76.9 75.6 78.2
57 84.1 82.6 85.6 76.7 75.4 78
56 84 82.5 85.5 76.5 75.1 77.9
55 83.9 82.4 85.4 76.3 74.9 77.7
54 83.8 82.3 85.3 76.1 74.6 77.5
53 83.7 82.2 85.3 75.9 74.4 77.4
52 83.6 82.1 85.2 75.7 74.2 77.2
51 83.6 82 85.1 75.5 74 77.1
50 83.5 81.9 85.1 75.4 73.8 77
49 83.4 81.8 85 75.2 73.7 76.8
48 83.4 81.8 85 75.1 73.5 76.7
47 83.3 81.7 84.9 75 73.3 76.6
46 83.3 81.6 84.9 74.8 73.2 76.5
45 83.2 81.6 84.9 74.7 73.1 76.4
44 83.2 81.5 84.8 74.6 72.9 76.3
43 83.2 81.5 84.8 74.5 72.8 76.2
42 83.1 81.5 84.8 74.4 72.7 76.1
41 83.1 81.4 84.8 74.3 72.6 76.1
40 83.1 81.4 84.7 74.2 72.5 76
39 83 81.4 84.7 74.1 72.4 75.9
38 83 81.3 84.7 74 72.3 75.8
37 83 81.3 84.7 73.9 72.2 75.8
36 83 81.3 84.7 73.9 72.1 75.7
35 83 81.2 84.6 73.8 72 75.6
34 82.9 81.2 84.6 73.7 71.9 75.6
33 82.9 81.2 84.6 73.6 71.8 75.5
32 82.9 81.2 84.6 73.6 71.8 75.4
31 82.9 81.2 84.6 73.5 71.7 75.4
30 82.9 81.1 84.6 73.4 71.6 75.3
29 82.8 81.1 84.6 73.3 71.5 75.3
28 82.8 81.1 84.6 73.3 71.4 75.2
27 82.8 81.1 84.5 73.2 71.3 75.2
26 82.8 81.1 84.5 73.1 71.3 75.1
25 82.8 81 84.5 73.1 71.2 75.1
24 82.8 81 84.5 73 71.1 75
23 82.8 81 84.5 72.9 71 75
22 82.7 81 84.5 72.9 70.9 74.9
21 82.7 81 84.5 72.8 70.8 74.9
20 82.7 80.9 84.5 72.7 70.7 74.8
19 82.7 80.9 84.5 72.7 70.6 74.8
18 82.7 80.9 84.5 72.6 70.6 74.8
17 82.7 80.9 84.5 72.5 70.5 74.7
16 82.7 80.9 84.5 72.5 70.4 74.7
15 82.7 80.9 84.5 72.5 70.4 74.7
14 82.7 80.9 84.5 72.4 70.3 74.6
13 82.7 80.9 84.5 72.4 70.3 74.6
12 82.7 80.9 84.4 72.3 70.3 74.6
11 82.7 80.9 84.4 72.3 70.2 74.5
10 82.7 80.9 84.4 72.3 70.2 74.5
9 82.7 80.9 84.4 72.3 70.1 74.5
8 82.7 80.9 84.4 72.2 70.1 74.5
7 82.7 80.9 84.4 72.2 70 74.5
6 82.7 80.9 84.4 72.1 70 74.4
5 82.6 80.9 84.4 72.1 69.9 74.4
4 82.6 80.8 84.4 72 69.8 74.3
3 82.6 80.8 84.4 71.8 69.6 74.2
2 82.6 80.8 84.4 71.7 69.5 74
1 82.6 80.8 84.4 71.4 69.2 73.7
0 82.4 80.6 84.2 68.1 65.7 70.6

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

GeoRank.org/life-expectancy/denmark/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 Denmark can expect to live to 82.9 years compared to 73.4 in Pakistan, rising to 85.4 and 78.9 at 65, and to 89.4 and 85.8 at 80 — higher than the 82.4 and 68.1 years calculated at birth.

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

Probability of surviving to a given age

Denmark
Male

Female
Pakistan
Male

Female
1x
Age Survival probability
Denmark Pakistan
Average Male Female Average Male Female
100 2.06% 0.96% 3.02% 0.08% 0.04% 0.13%
99 3.07% 1.54% 4.43% 0.13% 0.07% 0.22%
98 4.43% 2.39% 6.26% 0.23% 0.12% 0.37%
97 6.18% 3.55% 8.57% 0.38% 0.2% 0.61%
96 8.36% 5.1% 11.4% 0.62% 0.33% 0.96%
95 11% 7.08% 14.6% 0.95% 0.54% 1.46%
94 14% 9.51% 18.3% 1.43% 0.84% 2.14%
93 17.5% 12.4% 22.4% 2.07% 1.27% 3.03%
92 21.3% 15.7% 26.7% 2.92% 1.86% 4.16%
91 25.3% 19.4% 31.2% 3.99% 2.65% 5.55%
90 29.6% 23.3% 35.7% 5.31% 3.65% 7.22%
89 33.9% 27.4% 40.3% 6.9% 4.88% 9.2%
88 38.2% 31.7% 44.7% 8.76% 6.34% 11.5%
87 42.5% 36% 49.1% 10.9% 8.05% 14.1%
86 46.7% 40.2% 53.2% 13.3% 9.99% 17%
85 50.7% 44.3% 57.2% 15.9% 12.2% 20.1%
84 54.5% 48.2% 60.8% 18.8% 14.6% 23.5%
83 58.1% 52% 64.3% 21.9% 17.1% 27%
82 61.5% 55.6% 67.4% 25.1% 19.9% 30.7%
81 64.6% 58.9% 70.3% 28.3% 22.8% 34.3%
80 67.4% 62% 72.9% 31.7% 25.8% 38%
79 70% 64.8% 75.2% 35% 28.9% 41.6%
78 72.3% 67.4% 77.3% 38.3% 32% 45.1%
77 74.5% 69.8% 79.2% 41.6% 35.1% 48.5%
76 76.5% 72.1% 81% 44.8% 38.2% 51.7%
75 78.3% 74.2% 82.5% 47.8% 41.3% 54.8%
74 80% 76.1% 84% 50.8% 44.3% 57.8%
73 81.6% 77.9% 85.3% 53.6% 47.2% 60.6%
72 83% 79.6% 86.5% 56.4% 50% 63.2%
71 84.4% 81.1% 87.6% 58.9% 52.7% 65.6%
70 85.6% 82.6% 88.6% 61.4% 55.3% 67.8%
69 86.7% 84% 89.6% 63.7% 57.8% 69.9%
68 87.8% 85.3% 90.4% 65.8% 60.1% 71.8%
67 88.8% 86.5% 91.3% 67.8% 62.4% 73.6%
66 89.8% 87.6% 92% 69.7% 64.5% 75.2%
65 90.7% 88.7% 92.7% 71.4% 66.4% 76.7%
64 91.5% 89.7% 93.4% 73% 68.3% 78.1%
63 92.3% 90.6% 94% 74.6% 70.1% 79.3%
62 93% 91.5% 94.6% 76% 71.7% 80.4%
61 93.7% 92.2% 95.1% 77.3% 73.3% 81.5%
60 94.3% 93% 95.6% 78.5% 74.7% 82.5%
59 94.8% 93.6% 96% 79.6% 76% 83.4%
58 95.3% 94.2% 96.4% 80.6% 77.3% 84.2%
57 95.7% 94.8% 96.7% 81.6% 78.5% 84.9%
56 96.1% 95.2% 97% 82.5% 79.5% 85.6%
55 96.5% 95.7% 97.3% 83.3% 80.5% 86.3%
54 96.8% 96% 97.6% 84.1% 81.4% 86.9%
53 97.1% 96.4% 97.8% 84.8% 82.3% 87.4%
52 97.3% 96.7% 98% 85.4% 83% 87.9%
51 97.6% 97% 98.2% 86% 83.8% 88.4%
50 97.8% 97.2% 98.3% 86.6% 84.4% 88.9%
49 97.9% 97.4% 98.5% 87.1% 85% 89.3%
48 98.1% 97.6% 98.6% 87.5% 85.6% 89.6%
47 98.2% 97.8% 98.7% 88% 86.1% 90%
46 98.4% 98% 98.8% 88.4% 86.6% 90.3%
45 98.5% 98.1% 98.9% 88.7% 87% 90.6%
44 98.6% 98.2% 98.9% 89.1% 87.4% 90.9%
43 98.7% 98.3% 99% 89.4% 87.8% 91.1%
42 98.7% 98.4% 99.1% 89.7% 88.1% 91.4%
41 98.8% 98.5% 99.1% 89.9% 88.4% 91.6%
40 98.9% 98.6% 99.2% 90.2% 88.7% 91.8%
39 98.9% 98.7% 99.2% 90.4% 89% 92%
38 99% 98.8% 99.3% 90.6% 89.2% 92.1%
37 99.1% 98.8% 99.3% 90.8% 89.5% 92.3%
36 99.1% 98.9% 99.3% 91% 89.7% 92.5%
35 99.1% 98.9% 99.4% 91.2% 89.9% 92.6%
34 99.2% 99% 99.4% 91.4% 90.1% 92.7%
33 99.2% 99% 99.4% 91.6% 90.3% 92.9%
32 99.3% 99.1% 99.4% 91.7% 90.5% 93%
31 99.3% 99.1% 99.5% 91.9% 90.7% 93.1%
30 99.3% 99.2% 99.5% 92% 90.9% 93.2%
29 99.4% 99.2% 99.5% 92.2% 91% 93.4%
28 99.4% 99.2% 99.5% 92.3% 91.2% 93.5%
27 99.4% 99.3% 99.5% 92.4% 91.4% 93.6%
26 99.4% 99.3% 99.6% 92.6% 91.5% 93.7%
25 99.5% 99.4% 99.6% 92.7% 91.7% 93.8%
24 99.5% 99.4% 99.6% 92.8% 91.9% 93.9%
23 99.5% 99.4% 99.6% 93% 92.1% 93.9%
22 99.5% 99.5% 99.6% 93.1% 92.2% 94%
21 99.6% 99.5% 99.6% 93.2% 92.4% 94.1%
20 99.6% 99.5% 99.6% 93.4% 92.6% 94.2%
19 99.6% 99.5% 99.6% 93.5% 92.7% 94.3%
18 99.6% 99.6% 99.7% 93.6% 92.9% 94.3%
17 99.6% 99.6% 99.7% 93.7% 93% 94.4%
16 99.6% 99.6% 99.7% 93.7% 93.1% 94.4%
15 99.6% 99.6% 99.7% 93.8% 93.2% 94.5%
14 99.6% 99.6% 99.7% 93.9% 93.3% 94.5%
13 99.7% 99.6% 99.7% 93.9% 93.3% 94.6%
12 99.7% 99.6% 99.7% 94% 93.4% 94.6%
11 99.7% 99.6% 99.7% 94% 93.5% 94.6%
10 99.7% 99.6% 99.7% 94.1% 93.5% 94.7%
9 99.7% 99.6% 99.7% 94.1% 93.6% 94.7%
8 99.7% 99.6% 99.7% 94.2% 93.6% 94.7%
7 99.7% 99.6% 99.7% 94.2% 93.7% 94.8%
6 99.7% 99.6% 99.7% 94.3% 93.8% 94.8%
5 99.7% 99.6% 99.7% 94.4% 93.9% 94.9%
4 99.7% 99.7% 99.7% 94.5% 94.1% 95%
3 99.7% 99.7% 99.7% 94.7% 94.3% 95.2%
2 99.7% 99.7% 99.7% 95% 94.6% 95.4%
1 99.7% 99.7% 99.8% 95.3% 94.9% 95.8%

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

GeoRank.org/life-expectancy/denmark/pakistan | CC BY

This chart shows the odds of living to each age from birth. 94.3% of newborns in Denmark and 78.5% in Pakistan are expected to live past 60, 85.6% and 61.4% past 70, 67.4% and 31.7% past 80, and only 29.6% 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

Denmark
Male

Female
Pakistan
Male

Female
1x
Age Probability of dying
Denmark Pakistan
Average Male Female Average Male Female
100 35.2% 40.3% 34% 46% 47.6% 45.4%
99 33% 37.8% 31.7% 43.8% 45.7% 43%
98 30.6% 35.3% 29.3% 41.9% 43.7% 41%
97 28.3% 32.8% 26.9% 39.8% 41.7% 38.9%
96 26.1% 30.4% 24.6% 37.7% 39.8% 36.6%
95 23.9% 27.9% 22.3% 35.5% 37.9% 34.2%
94 21.8% 25.6% 20.2% 33.2% 35.9% 31.7%
93 19.8% 23.3% 18.1% 31% 33.9% 29.4%
92 17.8% 21% 16.1% 28.9% 31.8% 27.1%
91 16% 18.9% 14.4% 26.9% 29.6% 25.1%
90 14.3% 16.9% 12.8% 24.9% 27.4% 23.2%
89 12.7% 15.1% 11.3% 23% 25.2% 21.5%
88 11.4% 13.4% 9.99% 21.3% 23.1% 19.9%
87 10.1% 11.9% 8.83% 19.6% 21.2% 18.4%
86 8.92% 10.5% 7.79% 18.1% 19.4% 17%
85 7.91% 9.28% 6.88% 16.6% 17.9% 15.7%
84 7% 8.2% 6.06% 15.3% 16.4% 14.3%
83 6.18% 7.25% 5.33% 14% 15.1% 13.1%
82 5.44% 6.4% 4.67% 12.8% 13.9% 11.9%
81 4.79% 5.65% 4.08% 11.6% 12.7% 10.7%
80 4.21% 4.96% 3.55% 10.5% 11.7% 9.64%
79 3.69% 4.37% 3.1% 9.54% 10.7% 8.66%
78 3.26% 3.87% 2.73% 8.64% 9.71% 7.77%
77 2.89% 3.45% 2.41% 7.82% 8.86% 6.98%
76 2.6% 3.11% 2.14% 7.08% 8.08% 6.28%
75 2.35% 2.82% 1.92% 6.43% 7.38% 5.65%
74 2.12% 2.56% 1.73% 5.84% 6.74% 5.09%
73 1.92% 2.32% 1.55% 5.3% 6.16% 4.58%
72 1.74% 2.11% 1.4% 4.82% 5.63% 4.12%
71 1.58% 1.92% 1.26% 4.37% 5.14% 3.7%
70 1.44% 1.76% 1.14% 3.97% 4.7% 3.32%
69 1.33% 1.63% 1.04% 3.6% 4.29% 2.98%
68 1.23% 1.51% 0.96% 3.26% 3.91% 2.67%
67 1.14% 1.4% 0.9% 2.96% 3.57% 2.4%
66 1.06% 1.3% 0.83% 2.68% 3.27% 2.15%
65 0.98% 1.2% 0.77% 2.44% 2.99% 1.93%
64 0.91% 1.11% 0.71% 2.22% 2.74% 1.74%
63 0.84% 1.02% 0.65% 2.02% 2.51% 1.57%
62 0.77% 0.94% 0.6% 1.85% 2.3% 1.42%
61 0.7% 0.86% 0.54% 1.69% 2.11% 1.29%
60 0.63% 0.78% 0.49% 1.54% 1.93% 1.17%
59 0.57% 0.7% 0.44% 1.41% 1.77% 1.07%
58 0.51% 0.63% 0.39% 1.29% 1.62% 0.97%
57 0.46% 0.57% 0.35% 1.18% 1.48% 0.89%
56 0.41% 0.51% 0.32% 1.08% 1.35% 0.82%
55 0.37% 0.44% 0.29% 0.99% 1.23% 0.75%
54 0.33% 0.39% 0.26% 0.9% 1.12% 0.69%
53 0.29% 0.35% 0.23% 0.83% 1.02% 0.63%
52 0.26% 0.31% 0.21% 0.76% 0.93% 0.58%
51 0.23% 0.28% 0.18% 0.69% 0.85% 0.54%
50 0.21% 0.26% 0.16% 0.64% 0.78% 0.5%
49 0.19% 0.23% 0.14% 0.59% 0.71% 0.46%
48 0.17% 0.21% 0.12% 0.54% 0.65% 0.42%
47 0.15% 0.18% 0.11% 0.49% 0.6% 0.39%
46 0.13% 0.16% 0.1% 0.45% 0.54% 0.35%
45 0.11% 0.14% 0.08% 0.41% 0.5% 0.33%
44 0.1% 0.12% 0.08% 0.38% 0.46% 0.3%
43 0.09% 0.11% 0.07% 0.35% 0.42% 0.27%
42 0.08% 0.1% 0.06% 0.32% 0.38% 0.25%
41 0.07% 0.09% 0.06% 0.3% 0.35% 0.24%
40 0.07% 0.08% 0.05% 0.27% 0.33% 0.22%
39 0.06% 0.08% 0.05% 0.26% 0.31% 0.2%
38 0.06% 0.07% 0.04% 0.24% 0.29% 0.19%
37 0.05% 0.06% 0.04% 0.23% 0.27% 0.18%
36 0.05% 0.06% 0.03% 0.21% 0.25% 0.17%
35 0.04% 0.06% 0.03% 0.2% 0.24% 0.16%
34 0.04% 0.05% 0.03% 0.19% 0.23% 0.15%
33 0.04% 0.05% 0.03% 0.18% 0.22% 0.14%
32 0.04% 0.05% 0.02% 0.17% 0.21% 0.14%
31 0.03% 0.04% 0.02% 0.17% 0.2% 0.13%
30 0.03% 0.04% 0.02% 0.16% 0.2% 0.12%
29 0.03% 0.04% 0.02% 0.16% 0.19% 0.12%
28 0.03% 0.04% 0.02% 0.15% 0.19% 0.11%
27 0.03% 0.04% 0.02% 0.15% 0.19% 0.11%
26 0.03% 0.04% 0.01% 0.15% 0.19% 0.11%
25 0.02% 0.04% 0.01% 0.15% 0.19% 0.1%
24 0.02% 0.03% 0.01% 0.15% 0.19% 0.1%
23 0.02% 0.03% 0.01% 0.14% 0.19% 0.1%
22 0.02% 0.03% 0.01% 0.14% 0.19% 0.09%
21 0.02% 0.03% 0.01% 0.14% 0.18% 0.09%
20 0.02% 0.03% 0.01% 0.13% 0.17% 0.08%
19 0.02% 0.03% 0.01% 0.12% 0.16% 0.08%
18 0.02% 0.02% 0.01% 0.11% 0.15% 0.07%
17 0.01% 0.02% 0.01% 0.1% 0.13% 0.06%
16 0.01% 0.01% 0.008% 0.09% 0.11% 0.06%
15 0.008% 0.009% 0.007% 0.08% 0.1% 0.05%
14 0.006% 0.007% 0.005% 0.07% 0.09% 0.05%
13 0.005% 0.005% 0.004% 0.06% 0.08% 0.04%
12 0.004% 0.005% 0.003% 0.05% 0.07% 0.04%
11 0.004% 0.005% 0.003% 0.05% 0.07% 0.04%
10 0.004% 0.004% 0.003% 0.05% 0.07% 0.03%
9 0.004% 0.004% 0.003% 0.05% 0.07% 0.03%
8 0.004% 0.004% 0.004% 0.06% 0.07% 0.04%
7 0.004% 0.004% 0.004% 0.06% 0.09% 0.04%
6 0.004% 0.004% 0.004% 0.08% 0.1% 0.05%
5 0.004% 0.004% 0.004% 0.1% 0.13% 0.07%
4 0.004% 0.005% 0.004% 0.13% 0.16% 0.1%
3 0.006% 0.007% 0.005% 0.19% 0.21% 0.16%
2 0.01% 0.01% 0.01% 0.27% 0.28% 0.26%
1 0.03% 0.03% 0.03% 0.4% 0.37% 0.42%
0 0.27% 0.29% 0.24% 4.65% 5.09% 4.19%

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

GeoRank.org/life-expectancy/denmark/pakistan | CC BY

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

The annual chance of dying is 0.27% in the birth year in Denmark and 4.65% in Pakistan, 0.03% vs 0.16% at age 30, 0.63% vs 1.54% at 60, and 4.21% vs 10.5% at 80.

Death rate by age in Denmark vs Pakistan

Denmark
Male

Female
Pakistan
Male

Female
1x
Age Death rate
Denmark Pakistan
Total Male Female Total Male Female
100 570 176.1 916 0 0 0
99 1,013 583 1,405 58.8 30.2 94.6
98 1,356 843 1,834 96.7 51.2 153
97 1,750 1,167 2,304 152.8 83.9 237.3
96 2,179 1,549 2,792 231.9 132.9 352
95 2,626 1,977 3,268 338 203.5 500
94 3,062 2,434 3,698 475 301 680
93 3,458 2,888 4,051 643 431 890
92 3,788 3,300 4,309 843 593 1,128
91 4,056 3,663 4,484 1,071 785 1,390
90 4,233 3,943 4,558 1,322 1,000 1,675
89 4,320 4,134 4,544 1,588 1,230 1,977
88 4,344 4,252 4,472 1,862 1,467 2,288
87 4,291 4,276 4,334 2,135 1,705 2,597
86 4,166 4,213 4,144 2,400 1,941 2,889
85 4,010 4,108 3,932 2,648 2,171 3,152
84 3,817 3,957 3,690 2,868 2,391 3,370
83 3,591 3,771 3,426 3,053 2,593 3,533
82 3,345 3,556 3,148 3,195 2,768 3,635
81 3,096 3,326 2,867 3,290 2,909 3,677
80 2,834 3,075 2,587 3,339 3,013 3,663
79 2,582 2,829 2,332 3,344 3,080 3,603
78 2,360 2,610 2,110 3,312 3,111 3,507
77 2,156 2,409 1,907 3,250 3,113 3,386
76 1,985 2,242 1,734 3,169 3,091 3,248
75 1,838 2,094 1,584 3,074 3,047 3,097
74 1,700 1,949 1,449 2,965 2,985 2,939
73 1,565 1,806 1,324 2,845 2,907 2,773
72 1,442 1,676 1,209 2,714 2,815 2,602
71 1,331 1,558 1,103 2,576 2,711 2,428
70 1,235 1,457 1,010 2,433 2,597 2,254
69 1,154 1,372 935 2,289 2,477 2,083
68 1,082 1,289 872 2,145 2,353 1,919
67 1,016 1,211 819 2,005 2,229 1,763
66 953 1,135 768 1,871 2,106 1,617
65 891 1,063 716 1,743 1,986 1,482
64 831 995 664 1,622 1,869 1,358
63 772 926 614 1,509 1,756 1,245
62 714 858 566 1,403 1,648 1,142
61 655 790 517 1,304 1,544 1,049
60 597 723 468 1,211 1,443 965
59 543 660 422 1,124 1,345 889
58 490 598 380 1,041 1,251 819
57 442 538 342 964 1,159 756
56 396 481 310 890 1,072 698
55 353 425 280.4 822 989 646
54 316 377 254 758 911 598
53 280.9 335 227 700 838 554
52 251.8 302 201.4 646 772 513
51 226.2 274.8 177.8 597 711 476
50 203.6 250.1 157 551 656 441
49 182.7 226.5 138.5 509 605 409
48 162.5 203 121.7 470 557 378
47 144.1 180.7 107.1 433 513 348
46 126.7 158.9 94.2 398 472 321
45 111.1 138.9 83.3 366 434 294.9
44 98.4 121.8 74.6 337 399 271.4
43 87.8 107.8 67.2 310 367 250.3
42 79.2 97.2 60.6 286.7 339 231.7
41 72.7 89.2 55.6 265.8 314 215.3
40 66.5 81.4 51.1 247.4 291.4 200.9
39 60.9 74.2 47 231.3 272 188.2
38 55.9 68.3 42.9 217.2 255.1 176.8
37 51.6 64 38.6 204.7 240.4 166.4
36 47.9 60.7 34.6 193.6 227.5 156.9
35 44.2 57.1 30.8 183.5 216.3 148.2
34 41 53.6 27.8 174.5 206.3 140.2
33 37.8 49.6 25.4 166.4 197.5 133
32 35.2 46.3 23.5 159.3 189.7 126.4
31 33 43.7 21.9 153 183 120.6
30 31.4 41.9 20.4 147.6 177.5 115.4
29 29.6 39.9 18.8 143.3 173.5 110.9
28 28.3 38.6 17.5 140.1 171.1 106.9
27 26.9 37.3 16.2 137.9 170.3 103.3
26 26 36.7 14.9 136.6 170.9 100
25 24.8 35.6 13.7 135.8 172.4 96.8
24 23.8 34.3 12.9 135 174 93.4
23 23.1 33.3 12.6 133.5 174.7 89.7
22 22.4 31.9 12.5 130.8 173.4 85.6
21 21.8 30.7 12.6 126.5 169.1 81
20 20.8 28.7 12.5 120 161.3 76
19 18.5 25 11.6 111.7 150 70.8
18 15.8 20.8 10.5 101.9 136.1 65.5
17 13.2 16.7 9.49 91.4 120.7 60.3
16 10.3 12.4 8.1 81 105.3 55.2
15 8.08 9.28 6.84 71.4 91.2 50.3
14 6.13 6.84 5.38 63 79.4 45.7
13 4.79 5.42 4.14 56.3 70.4 41.3
12 4.06 4.74 3.34 51.4 64.4 37.6
11 3.73 4.49 2.94 48.3 61.3 34.6
10 3.7 4.43 2.93 47.3 61.1 32.8
9 3.66 4.15 3.14 48.6 63.8 32.6
8 3.71 3.91 3.5 52.7 69.9 34.6
7 3.75 3.77 3.72 60.5 80.3 39.7
6 3.87 3.98 3.75 73.5 96.2 49.5
5 4.03 4.36 3.68 94.2 119.5 67.4
4 4.37 4.88 3.82 126.6 153 98.7
3 5.8 6.55 5.01 177 199.9 152.9
2 11.2 12.5 9.81 255.7 265 245.8
1 31 34.1 27.6 378 354 403
0 266.1 293.9 236.8 4,650 5,086 4,193

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

GeoRank.org/life-expectancy/denmark/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 Denmark, the most common age of death is 88, compared to 0 in Pakistan. The median age of death is 85.2 in Denmark 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 Denmark 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/denmark/pakistan | 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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