Skip to content

Life Expectancy in Pakistan vs San Marino (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 68.1 years in Pakistan vs 86 in San Marino. Pakistan is ranked 151/197 by life expectancy, and San Marino is 2/197. In Pakistan, the life expectancy is 65.7 years for males and 70.6 years for females. In San Marino, it's 84.5 years for males and 87.4 years for females.

Pakistan vs San Marino life expectancy at birth by year

Pakistan
Male

Female
San Marino
Male

Female
1x
Year Life expectancy, years
Pakistan San Marino
Average Male Female Average Male Female
2026 68.1 65.7 70.6 86 84.5 87.4
2025 67.9 65.6 70.5 85.9 84.4 87.3
2024 67.8 65.5 70.3 85.8 84.3 87.2
2023 67.6 65.3 70.2 85.7 84.2 87.1
2022 67.4 65.1 69.9 85.7 84.2 87.1
2021 65.8 63.5 68.3 83.5 81.9 85.2
2020 65.7 63.3 68.4 82.6 80.3 85.1
2019 66.7 64.5 69.2 85.3 83.6 86.8
2018 66.5 64.3 68.9 85.1 83.4 86.6
2017 66.2 64 68.7 84.9 83.2 86.5
2016 65.9 63.8 68.4 84.8 82.9 86.4
2015 65.6 63.5 68.1 84.6 82.7 86.3
2014 65.4 63.2 67.8 84.4 82.5 86.1
2013 65.1 63 67.5 84.2 82.3 85.9
2012 64.9 62.8 67.3 83.9 81.9 85.8
2011 64.7 62.6 67 83.7 81.7 85.6
2010 64.4 62.3 66.7 83.5 81.4 85.3
2009 64.2 62.2 66.5 83.2 81.1 85.1
2008 64 62.1 66.2 82.9 80.8 84.8
2007 63.8 62 65.9 82.6 80.5 84.5
2006 63.6 62 65.5 82.3 80.2 84.2
2005 62.4 61.1 63.9 81.9 79.8 83.9
2004 63.1 61.9 64.5 81.6 79.5 83.6
2003 62.8 61.7 64.1 81.3 79.2 83.3
2002 62.6 61.6 63.7 81.1 78.8 83.1
2001 62.2 61.3 63.3 80.8 78.5 82.9
2000 61.9 61 62.9 80.5 78.1 82.8
1999 61.5 60.7 62.5 80.2 77.7 82.6
1998 61.1 60.4 62 79.9 77.4 82.4
1997 60.6 59.9 61.6 79.7 77.1 82.2
1996 60.5 59.8 61.3 79.3 76.7 81.9
1995 60.3 59.7 61 79 76.4 81.6
1994 60.2 59.6 60.9 78.7 76 81.3
1993 60.1 59.5 60.8 78.4 75.7 81
1992 60 59.3 60.9 78.1 75.5 80.8
1991 59.9 59 60.9 77.9 75.3 80.6
1990 59.7 58.8 60.8 77.8 75.2 80.4
1989 59.5 58.6 60.6 77.6 75 80.3
1988 59.4 58.5 60.5 77.5 74.9 80.2
1987 59.2 58.4 60.3 77.5 74.8 80.2
1986 59.2 58.4 60.2 77.4 74.7 80.1
1985 59.1 58.2 60.1 77.3 74.5 80.1
1984 58.9 58 60.1 77.2 74.3 80.1
1983 58.7 57.7 59.9 77 74.1 80
1982 58.3 57.4 59.5 76.8 73.9 79.9
1981 57.8 56.9 58.9 76.6 73.6 79.7
1980 57.2 56.5 58.2 76.4 73.4 79.5
1979 56.6 56.1 57.4 76.1 73.1 79.3
1978 56.1 55.7 56.6 75.9 72.9 79.1
1977 55.5 55.3 55.8 75.6 72.6 78.9
1976 55.1 55.1 55.1 75.4 72.4 78.7
1975 54.7 54.9 54.6 75.3 72.1 78.6
1974 54.3 54.6 54 75.1 71.9 78.5
1973 54.1 54.6 53.6 74.8 71.5 78.4
1972 53.8 54.4 53.2 74.6 71.3 78.2
1971 49 48.2 50 74.4 71.1 78
1970 52.9 53.8 52 74.3 71 77.9
1969 52.3 53.2 51.3 74.2 71 77.8
1968 51.6 52.7 50.4 74.1 70.9 77.6
1967 50.8 51.9 49.4 73.9 70.8 77.5
1966 49.8 51.1 48.3 73.8 70.7 77.5
1965 48.5 50 46.8 73.7 70.5 77.4
1964 47.8 49.4 46.1 73.7 70.4 77.3
1963 46.8 48.5 44.8 73.6 70.4 77.2
1962 45.9 47.7 43.7 73.5 70.4 77.1
1961 45 46.8 42.8 73.4 70.2 76.9
1960 44.1 46 42 73.2 70.1 76.7
1959 43.3 45.2 41.2 73 69.9 76.5
1958 42.5 44.2 40.5 72.8 69.7 76.3
1957 41.6 43.3 39.6 72.7 69.6 76.1
1956 40.6 42.2 38.7 72.5 69.4 75.9
1955 39.6 41.2 37.8 72.4 69.3 75.7
1954 38.6 40 36.9 72.2 69.1 75.5
1953 37.6 39 35.9 72 69 75.4
1952 36.5 37.8 34.9 71.9 68.9 75.2
1951 35.4 36.6 33.9 71.7 68.7 75
1950 34.2 35.4 32.8 71.6 68.6 74.9

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

GeoRank.org/life-expectancy/pakistan/san-marino | 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.

Pakistan vs San Marino 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 Pakistan and San Marino, 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:
43.4 vs 56.3 years

Mean expected age of death:
73.4 vs 86.3 years

Median expected age of death:
75.6 vs 88.3 years

Odds of living to

Target age Survival probability
Pakistan San Marino
Male Female Male Female
40 97.6% 98.4% 99.7% 99.7%
50 92.9% 95.3% 98.9% 99.0%
60 82.2% 88.4% 96.8% 97.3%
65 73.1% 82.3% 94.8% 95.6%
70 60.9% 72.8% 91.3% 93.1%
75 45.4% 58.8% 85.2% 89.2%
80 28.4% 40.8% 75.0% 82.7%
85 13.4% 21.6% 57.9% 70.1%
90 4.0% 7.7% 34.9% 49.1%
95 0.6% 1.6% 13.3% 23.6%
100 0.0% 0.1% 2.6% 5.9%

Life expectancy by current age

Pakistan
Male

Female
San Marino
Male

Female
1x
Current age, years Total life expectancy, years
Pakistan San Marino
Average Male Female Average Male Female
100 101.7 101.6 101.7 102.3 102 102.4
99 100.7 100.6 100.8 101.5 101.2 101.6
98 99.8 99.7 99.8 100.7 100.4 100.8
97 98.9 98.8 98.9 99.9 99.6 100
96 98 97.9 98 99.1 98.8 99.2
95 97.1 97 97.2 98.4 98 98.5
94 96.2 96.1 96.3 97.6 97.3 97.8
93 95.4 95.2 95.5 96.9 96.5 97.2
92 94.6 94.3 94.7 96.3 95.8 96.5
91 93.7 93.5 93.9 95.7 95.2 95.9
90 92.9 92.7 93.1 95.1 94.5 95.4
89 92.1 91.9 92.3 94.5 93.9 94.9
88 91.4 91.1 91.6 94 93.3 94.4
87 90.6 90.3 90.8 93.5 92.8 93.9
86 89.9 89.6 90.1 93 92.3 93.5
85 89.1 88.9 89.4 92.5 91.8 93.1
84 88.4 88.1 88.7 92.1 91.3 92.7
83 87.7 87.4 88 91.7 90.8 92.4
82 87.1 86.8 87.3 91.3 90.4 92
81 86.4 86.1 86.7 91 90 91.8
80 85.8 85.4 86.1 90.7 89.7 91.5
79 85.2 84.8 85.5 90.4 89.4 91.3
78 84.6 84.2 85 90.1 89.1 91
77 84.1 83.6 84.5 89.9 88.8 90.8
76 83.5 83 84 89.7 88.5 90.7
75 83 82.5 83.5 89.4 88.3 90.5
74 82.5 81.9 83 89.2 88 90.3
73 82 81.4 82.6 89 87.8 90.2
72 81.6 80.9 82.2 88.9 87.6 90
71 81.1 80.4 81.8 88.7 87.4 89.9
70 80.7 80 81.4 88.5 87.2 89.7
69 80.3 79.5 81.1 88.4 87.1 89.6
68 79.9 79.1 80.7 88.3 86.9 89.5
67 79.6 78.7 80.4 88.1 86.8 89.4
66 79.2 78.3 80.1 88 86.6 89.3
65 78.9 77.9 79.8 87.9 86.5 89.2
64 78.6 77.5 79.6 87.8 86.4 89.1
63 78.3 77.2 79.3 87.7 86.3 89
62 78 76.8 79.1 87.6 86.2 88.9
61 77.7 76.5 78.8 87.5 86.1 88.8
60 77.4 76.2 78.6 87.4 86 88.7
59 77.2 75.9 78.4 87.3 85.9 88.6
58 76.9 75.6 78.2 87.2 85.8 88.6
57 76.7 75.4 78 87.2 85.8 88.5
56 76.5 75.1 77.9 87.1 85.7 88.4
55 76.3 74.9 77.7 87.1 85.6 88.4
54 76.1 74.6 77.5 87 85.6 88.3
53 75.9 74.4 77.4 86.9 85.5 88.3
52 75.7 74.2 77.2 86.9 85.5 88.2
51 75.5 74 77.1 86.8 85.4 88.2
50 75.4 73.8 77 86.8 85.4 88.1
49 75.2 73.7 76.8 86.7 85.3 88.1
48 75.1 73.5 76.7 86.7 85.3 88
47 75 73.3 76.6 86.7 85.2 88
46 74.8 73.2 76.5 86.6 85.2 88
45 74.7 73.1 76.4 86.6 85.2 87.9
44 74.6 72.9 76.3 86.6 85.1 87.9
43 74.5 72.8 76.2 86.6 85.1 87.9
42 74.4 72.7 76.1 86.5 85.1 87.9
41 74.3 72.6 76.1 86.5 85.1 87.8
40 74.2 72.5 76 86.5 85.1 87.8
39 74.1 72.4 75.9 86.5 85 87.8
38 74 72.3 75.8 86.5 85 87.8
37 73.9 72.2 75.8 86.4 85 87.8
36 73.9 72.1 75.7 86.4 85 87.8
35 73.8 72 75.6 86.4 85 87.7
34 73.7 71.9 75.6 86.4 85 87.7
33 73.6 71.8 75.5 86.4 84.9 87.7
32 73.6 71.8 75.4 86.4 84.9 87.7
31 73.5 71.7 75.4 86.4 84.9 87.7
30 73.4 71.6 75.3 86.3 84.9 87.7
29 73.3 71.5 75.3 86.3 84.9 87.7
28 73.3 71.4 75.2 86.3 84.9 87.7
27 73.2 71.3 75.2 86.3 84.9 87.7
26 73.1 71.3 75.1 86.3 84.8 87.7
25 73.1 71.2 75.1 86.3 84.8 87.6
24 73 71.1 75 86.3 84.8 87.6
23 72.9 71 75 86.3 84.8 87.6
22 72.9 70.9 74.9 86.2 84.8 87.6
21 72.8 70.8 74.9 86.2 84.8 87.6
20 72.7 70.7 74.8 86.2 84.7 87.6
19 72.7 70.6 74.8 86.2 84.7 87.6
18 72.6 70.6 74.8 86.2 84.7 87.6
17 72.5 70.5 74.7 86.2 84.7 87.6
16 72.5 70.4 74.7 86.2 84.7 87.6
15 72.5 70.4 74.7 86.2 84.7 87.6
14 72.4 70.3 74.6 86.2 84.7 87.6
13 72.4 70.3 74.6 86.2 84.7 87.6
12 72.3 70.3 74.6 86.2 84.7 87.6
11 72.3 70.2 74.5 86.2 84.7 87.6
10 72.3 70.2 74.5 86.2 84.7 87.6
9 72.3 70.1 74.5 86.2 84.7 87.6
8 72.2 70.1 74.5 86.2 84.7 87.6
7 72.2 70 74.5 86.2 84.7 87.6
6 72.1 70 74.4 86.2 84.7 87.5
5 72.1 69.9 74.4 86.1 84.7 87.5
4 72 69.8 74.3 86.1 84.7 87.5
3 71.8 69.6 74.2 86.1 84.7 87.5
2 71.7 69.5 74 86.1 84.7 87.5
1 71.4 69.2 73.7 86.1 84.6 87.5
0 68.1 65.7 70.6 86 84.5 87.4

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

GeoRank.org/life-expectancy/pakistan/san-marino | 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 Pakistan can expect to live to 73.4 years compared to 86.3 in San Marino, rising to 78.9 and 87.9 at 65, and to 85.8 and 90.7 at 80 — higher than the 68.1 and 86 years calculated at birth.

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

Probability of surviving to a given age

Pakistan
Male

Female
San Marino
Male

Female
1x
Age Survival probability
Pakistan San Marino
Average Male Female Average Male Female
100 0.08% 0.04% 0.13% 4.41% 2.58% 5.93%
99 0.13% 0.07% 0.22% 6.24% 3.83% 8.33%
98 0.23% 0.12% 0.37% 8.56% 5.47% 11.3%
97 0.38% 0.2% 0.61% 11.4% 7.57% 14.9%
96 0.62% 0.33% 0.96% 14.8% 10.2% 19%
95 0.95% 0.54% 1.46% 18.7% 13.3% 23.5%
94 1.43% 0.84% 2.14% 23% 16.9% 28.4%
93 2.07% 1.27% 3.03% 27.6% 20.9% 33.5%
92 2.92% 1.86% 4.16% 32.3% 25.3% 38.7%
91 3.99% 2.65% 5.55% 37.2% 29.9% 43.9%
90 5.31% 3.65% 7.22% 42% 34.7% 48.9%
89 6.9% 4.88% 9.2% 46.8% 39.5% 53.7%
88 8.76% 6.34% 11.5% 51.4% 44.2% 58.2%
87 10.9% 8.05% 14.1% 55.8% 48.9% 62.4%
86 13.3% 9.99% 17% 60% 53.4% 66.3%
85 15.9% 12.2% 20.1% 63.9% 57.6% 69.8%
84 18.8% 14.6% 23.5% 67.5% 61.6% 73%
83 21.9% 17.1% 27% 70.7% 65.4% 75.8%
82 25.1% 19.9% 30.7% 73.6% 68.8% 78.3%
81 28.3% 22.8% 34.3% 76.2% 71.9% 80.5%
80 31.7% 25.8% 38% 78.6% 74.6% 82.4%
79 35% 28.9% 41.6% 80.6% 77.1% 84%
78 38.3% 32% 45.1% 82.4% 79.4% 85.5%
77 41.6% 35.1% 48.5% 84.1% 81.4% 86.8%
76 44.8% 38.2% 51.7% 85.6% 83.2% 87.9%
75 47.8% 41.3% 54.8% 86.9% 84.8% 88.9%
74 50.8% 44.3% 57.8% 88.1% 86.3% 89.9%
73 53.6% 47.2% 60.6% 89.1% 87.6% 90.7%
72 56.4% 50% 63.2% 90.1% 88.8% 91.5%
71 58.9% 52.7% 65.6% 91% 89.9% 92.1%
70 61.4% 55.3% 67.8% 91.8% 90.8% 92.8%
69 63.7% 57.8% 69.9% 92.5% 91.7% 93.4%
68 65.8% 60.1% 71.8% 93.2% 92.4% 93.9%
67 67.8% 62.4% 73.6% 93.8% 93.1% 94.4%
66 69.7% 64.5% 75.2% 94.3% 93.7% 94.9%
65 71.4% 66.4% 76.7% 94.8% 94.3% 95.3%
64 73% 68.3% 78.1% 95.2% 94.8% 95.7%
63 74.6% 70.1% 79.3% 95.6% 95.2% 96%
62 76% 71.7% 80.4% 96% 95.6% 96.4%
61 77.3% 73.3% 81.5% 96.3% 96% 96.7%
60 78.5% 74.7% 82.5% 96.6% 96.3% 97%
59 79.6% 76% 83.4% 96.9% 96.6% 97.2%
58 80.6% 77.3% 84.2% 97.2% 96.9% 97.4%
57 81.6% 78.5% 84.9% 97.4% 97.1% 97.6%
56 82.5% 79.5% 85.6% 97.6% 97.4% 97.8%
55 83.3% 80.5% 86.3% 97.8% 97.6% 98%
54 84.1% 81.4% 86.9% 98% 97.8% 98.2%
53 84.8% 82.3% 87.4% 98.1% 98% 98.3%
52 85.4% 83% 87.9% 98.3% 98.1% 98.5%
51 86% 83.8% 88.4% 98.4% 98.3% 98.6%
50 86.6% 84.4% 88.9% 98.6% 98.4% 98.7%
49 87.1% 85% 89.3% 98.7% 98.5% 98.8%
48 87.5% 85.6% 89.6% 98.8% 98.6% 98.9%
47 88% 86.1% 90% 98.8% 98.7% 99%
46 88.4% 86.6% 90.3% 98.9% 98.8% 99.1%
45 88.7% 87% 90.6% 99% 98.9% 99.1%
44 89.1% 87.4% 90.9% 99.1% 98.9% 99.2%
43 89.4% 87.8% 91.1% 99.1% 99% 99.2%
42 89.7% 88.1% 91.4% 99.2% 99.1% 99.3%
41 89.9% 88.4% 91.6% 99.2% 99.1% 99.4%
40 90.2% 88.7% 91.8% 99.3% 99.2% 99.4%
39 90.4% 89% 92% 99.3% 99.2% 99.4%
38 90.6% 89.2% 92.1% 99.4% 99.2% 99.5%
37 90.8% 89.5% 92.3% 99.4% 99.3% 99.5%
36 91% 89.7% 92.5% 99.4% 99.3% 99.5%
35 91.2% 89.9% 92.6% 99.5% 99.3% 99.6%
34 91.4% 90.1% 92.7% 99.5% 99.4% 99.6%
33 91.6% 90.3% 92.9% 99.5% 99.4% 99.6%
32 91.7% 90.5% 93% 99.5% 99.4% 99.6%
31 91.9% 90.7% 93.1% 99.5% 99.5% 99.7%
30 92% 90.9% 93.2% 99.6% 99.5% 99.7%
29 92.2% 91% 93.4% 99.6% 99.5% 99.7%
28 92.3% 91.2% 93.5% 99.6% 99.5% 99.7%
27 92.4% 91.4% 93.6% 99.6% 99.6% 99.7%
26 92.6% 91.5% 93.7% 99.6% 99.6% 99.7%
25 92.7% 91.7% 93.8% 99.7% 99.6% 99.7%
24 92.8% 91.9% 93.9% 99.7% 99.6% 99.7%
23 93% 92.1% 93.9% 99.7% 99.7% 99.8%
22 93.1% 92.2% 94% 99.7% 99.7% 99.8%
21 93.2% 92.4% 94.1% 99.7% 99.7% 99.8%
20 93.4% 92.6% 94.2% 99.8% 99.7% 99.8%
19 93.5% 92.7% 94.3% 99.8% 99.8% 99.8%
18 93.6% 92.9% 94.3% 99.8% 99.8% 99.8%
17 93.7% 93% 94.4% 99.8% 99.8% 99.8%
16 93.7% 93.1% 94.4% 99.8% 99.8% 99.8%
15 93.8% 93.2% 94.5% 99.8% 99.8% 99.8%
14 93.9% 93.3% 94.5% 99.8% 99.8% 99.8%
13 93.9% 93.3% 94.6% 99.8% 99.8% 99.8%
12 94% 93.4% 94.6% 99.8% 99.8% 99.9%
11 94% 93.5% 94.6% 99.8% 99.8% 99.9%
10 94.1% 93.5% 94.7% 99.8% 99.8% 99.9%
9 94.1% 93.6% 94.7% 99.9% 99.8% 99.9%
8 94.2% 93.6% 94.7% 99.9% 99.8% 99.9%
7 94.2% 93.7% 94.8% 99.9% 99.8% 99.9%
6 94.3% 93.8% 94.8% 99.9% 99.9% 99.9%
5 94.4% 93.9% 94.9% 99.9% 99.9% 99.9%
4 94.5% 94.1% 95% 99.9% 99.9% 99.9%
3 94.7% 94.3% 95.2% 99.9% 99.9% 99.9%
2 95% 94.6% 95.4% 99.9% 99.9% 99.9%
1 95.3% 94.9% 95.8% 99.9% 99.9% 99.9%

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

GeoRank.org/life-expectancy/pakistan/san-marino | CC BY

This chart shows the odds of living to each age from birth. 78.5% of newborns in Pakistan and 96.6% in San Marino are expected to live past 60, 61.4% and 91.8% past 70, 31.7% and 78.6% past 80, and only 5.31% and 42% 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

Pakistan
Male

Female
San Marino
Male

Female
1x
Age Probability of dying
Pakistan San Marino
Average Male Female Average Male Female
100 46% 47.6% 45.4% 31.5% 34.6% 31.2%
99 43.8% 45.7% 43% 29.3% 32.5% 28.9%
98 41.9% 43.7% 41% 27.2% 30.1% 26.4%
97 39.8% 41.7% 38.9% 25.1% 27.8% 23.9%
96 37.7% 39.8% 36.6% 22.9% 25.5% 21.6%
95 35.5% 37.9% 34.2% 20.7% 23.4% 19.4%
94 33.2% 35.9% 31.7% 18.6% 21.3% 17.2%
93 31% 33.9% 29.4% 16.7% 19.3% 15.2%
92 28.9% 31.8% 27.1% 14.8% 17.3% 13.4%
91 26.9% 29.6% 25.1% 13% 15.5% 11.7%
90 24.9% 27.4% 23.2% 11.5% 13.7% 10.3%
89 23% 25.2% 21.5% 10.2% 12.2% 8.93%
88 21.3% 23.1% 19.9% 8.98% 10.8% 7.77%
87 19.6% 21.2% 18.4% 7.91% 9.5% 6.75%
86 18.1% 19.4% 17% 6.96% 8.39% 5.84%
85 16.6% 17.9% 15.7% 6.11% 7.4% 5.05%
84 15.3% 16.4% 14.3% 5.29% 6.5% 4.34%
83 14% 15.1% 13.1% 4.57% 5.68% 3.72%
82 12.8% 13.9% 11.9% 3.97% 4.95% 3.18%
81 11.6% 12.7% 10.7% 3.44% 4.31% 2.71%
80 10.5% 11.7% 9.64% 2.97% 3.73% 2.31%
79 9.54% 10.7% 8.66% 2.56% 3.23% 1.98%
78 8.64% 9.71% 7.77% 2.21% 2.81% 1.7%
77 7.82% 8.86% 6.98% 1.94% 2.46% 1.48%
76 7.08% 8.08% 6.28% 1.72% 2.16% 1.3%
75 6.43% 7.38% 5.65% 1.51% 1.92% 1.15%
74 5.84% 6.74% 5.09% 1.35% 1.71% 1.03%
73 5.3% 6.16% 4.58% 1.22% 1.52% 0.92%
72 4.82% 5.63% 4.12% 1.09% 1.35% 0.83%
71 4.37% 5.14% 3.7% 0.97% 1.2% 0.75%
70 3.97% 4.7% 3.32% 0.86% 1.05% 0.68%
69 3.6% 4.29% 2.98% 0.78% 0.93% 0.62%
68 3.26% 3.91% 2.67% 0.7% 0.82% 0.57%
67 2.96% 3.57% 2.4% 0.63% 0.73% 0.53%
66 2.68% 3.27% 2.15% 0.57% 0.65% 0.49%
65 2.44% 2.99% 1.93% 0.52% 0.58% 0.45%
64 2.22% 2.74% 1.74% 0.47% 0.53% 0.41%
63 2.02% 2.51% 1.57% 0.42% 0.47% 0.38%
62 1.85% 2.3% 1.42% 0.39% 0.43% 0.34%
61 1.69% 2.11% 1.29% 0.35% 0.38% 0.31%
60 1.54% 1.93% 1.17% 0.31% 0.34% 0.29%
59 1.41% 1.77% 1.07% 0.28% 0.31% 0.26%
58 1.29% 1.62% 0.97% 0.26% 0.28% 0.24%
57 1.18% 1.48% 0.89% 0.23% 0.25% 0.22%
56 1.08% 1.35% 0.82% 0.21% 0.23% 0.2%
55 0.99% 1.23% 0.75% 0.2% 0.21% 0.18%
54 0.9% 1.12% 0.69% 0.18% 0.2% 0.17%
53 0.83% 1.02% 0.63% 0.17% 0.18% 0.15%
52 0.76% 0.93% 0.58% 0.15% 0.17% 0.14%
51 0.69% 0.85% 0.54% 0.14% 0.15% 0.13%
50 0.64% 0.78% 0.5% 0.12% 0.14% 0.11%
49 0.59% 0.71% 0.46% 0.11% 0.12% 0.1%
48 0.54% 0.65% 0.42% 0.1% 0.11% 0.09%
47 0.49% 0.6% 0.39% 0.09% 0.09% 0.08%
46 0.45% 0.54% 0.35% 0.08% 0.09% 0.08%
45 0.41% 0.5% 0.33% 0.07% 0.08% 0.07%
44 0.38% 0.46% 0.3% 0.07% 0.07% 0.06%
43 0.35% 0.42% 0.27% 0.06% 0.06% 0.06%
42 0.32% 0.38% 0.25% 0.06% 0.06% 0.06%
41 0.3% 0.35% 0.24% 0.05% 0.05% 0.05%
40 0.27% 0.33% 0.22% 0.05% 0.05% 0.05%
39 0.26% 0.31% 0.2% 0.04% 0.04% 0.04%
38 0.24% 0.29% 0.19% 0.04% 0.04% 0.04%
37 0.23% 0.27% 0.18% 0.04% 0.04% 0.03%
36 0.21% 0.25% 0.17% 0.03% 0.03% 0.03%
35 0.2% 0.24% 0.16% 0.03% 0.03% 0.03%
34 0.19% 0.23% 0.15% 0.03% 0.03% 0.02%
33 0.18% 0.22% 0.14% 0.02% 0.03% 0.02%
32 0.17% 0.21% 0.14% 0.02% 0.03% 0.02%
31 0.17% 0.2% 0.13% 0.02% 0.03% 0.02%
30 0.16% 0.2% 0.12% 0.02% 0.03% 0.02%
29 0.16% 0.19% 0.12% 0.02% 0.03% 0.01%
28 0.15% 0.19% 0.11% 0.02% 0.03% 0.01%
27 0.15% 0.19% 0.11% 0.02% 0.03% 0.01%
26 0.15% 0.19% 0.11% 0.02% 0.03% 0.01%
25 0.15% 0.19% 0.1% 0.02% 0.03% 0.01%
24 0.15% 0.19% 0.1% 0.02% 0.03% 0.01%
23 0.14% 0.19% 0.1% 0.02% 0.03% 0.01%
22 0.14% 0.19% 0.09% 0.02% 0.03% 0.01%
21 0.14% 0.18% 0.09% 0.02% 0.03% 0.01%
20 0.13% 0.17% 0.08% 0.02% 0.02% 0.01%
19 0.12% 0.16% 0.08% 0.02% 0.02% 0.01%
18 0.11% 0.15% 0.07% 0.02% 0.02% 0.01%
17 0.1% 0.13% 0.06% 0.01% 0.02% 0.01%
16 0.09% 0.11% 0.06% 0.01% 0.01% 0.009%
15 0.08% 0.1% 0.05% 0.008% 0.01% 0.007%
14 0.07% 0.09% 0.05% 0.006% 0.007% 0.006%
13 0.06% 0.08% 0.04% 0.005% 0.005% 0.005%
12 0.05% 0.07% 0.04% 0.004% 0.004% 0.004%
11 0.05% 0.07% 0.04% 0.003% 0.003% 0.004%
10 0.05% 0.07% 0.03% 0.003% 0.003% 0.003%
9 0.05% 0.07% 0.03% 0.003% 0.003% 0.003%
8 0.06% 0.07% 0.04% 0.003% 0.003% 0.003%
7 0.06% 0.09% 0.04% 0.003% 0.003% 0.003%
6 0.08% 0.1% 0.05% 0.004% 0.004% 0.004%
5 0.1% 0.13% 0.07% 0.004% 0.004% 0.005%
4 0.13% 0.16% 0.1% 0.002% 0.002% 0.002%
3 0.19% 0.21% 0.16% 0.003% 0.003% 0.003%
2 0.27% 0.28% 0.26% 0.008% 0.008% 0.008%
1 0.4% 0.37% 0.42% 0.02% 0.02% 0.02%
0 4.65% 5.09% 4.19% 0.1% 0.12% 0.09%

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

GeoRank.org/life-expectancy/pakistan/san-marino | CC BY

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

The annual chance of dying is 4.65% in the birth year in Pakistan and 0.1% in San Marino, 0.16% vs 0.02% at age 30, 1.54% vs 0.31% at 60, and 10.5% vs 2.97% at 80.

Death rate by age in Pakistan vs San Marino

Pakistan
Male

Female
San Marino
Male

Female
1x
Age Death rate
Pakistan San Marino
Total Male Female Total Male Female
100 0 0 0 1,316 735 1,896
99 58.8 30.2 94.6 1,829 1,242 2,406
98 96.7 51.2 153 2,328 1,645 2,982
97 152.8 83.9 237.3 2,865 2,103 3,560
96 231.9 132.9 352 3,398 2,597 4,098
95 338 203.5 500 3,861 3,103 4,553
94 475 301 680 4,268 3,594 4,898
93 643 431 890 4,594 4,031 5,113
92 843 593 1,128 4,774 4,384 5,194
91 1,071 785 1,390 4,844 4,632 5,153
90 1,322 1,000 1,675 4,843 4,768 5,012
89 1,588 1,230 1,977 4,768 4,805 4,793
88 1,862 1,467 2,288 4,618 4,758 4,520
87 2,135 1,705 2,597 4,414 4,646 4,210
86 2,400 1,941 2,889 4,175 4,480 3,875
85 2,648 2,171 3,152 3,906 4,263 3,523
84 2,868 2,391 3,370 3,567 4,005 3,167
83 3,053 2,593 3,533 3,228 3,714 2,817
82 3,195 2,768 3,635 2,922 3,407 2,487
81 3,290 2,909 3,677 2,619 3,095 2,182
80 3,339 3,013 3,663 2,336 2,784 1,905
79 3,344 3,080 3,603 2,064 2,491 1,663
78 3,312 3,111 3,507 1,821 2,228 1,455
77 3,250 3,113 3,386 1,634 1,998 1,282
76 3,169 3,091 3,248 1,469 1,800 1,139
75 3,074 3,047 3,097 1,315 1,627 1,021
74 2,965 2,985 2,939 1,191 1,474 922
73 2,845 2,907 2,773 1,084 1,333 837
72 2,714 2,815 2,602 978 1,200 761
71 2,576 2,711 2,428 878 1,075 694
70 2,433 2,597 2,254 793 958 634
69 2,289 2,477 2,083 717 852 582
68 2,145 2,353 1,919 651 760 536
67 2,005 2,229 1,763 593 680 496
66 1,871 2,106 1,617 537 611 460
65 1,743 1,986 1,482 491 551 426
64 1,622 1,869 1,358 448 498 394
63 1,509 1,756 1,245 405 450 362
62 1,403 1,648 1,142 370 407 332
61 1,304 1,544 1,049 336 367 304
60 1,211 1,443 965 303 331 276.6
59 1,124 1,345 889 274.4 298.7 251.6
58 1,041 1,251 819 248.8 270.2 229.4
57 964 1,159 756 227.6 245.5 210.2
56 890 1,072 698 209.6 225.2 193.6
55 822 989 646 194.4 208.9 178.7
54 758 911 598 179.7 194.7 164.7
53 700 838 554 165.1 180.9 151.3
52 646 772 513 151.4 166 137.9
51 597 711 476 136.9 150 124.9
50 551 656 441 122.9 134 112.4
49 509 605 409 109.7 118.9 100.9
48 470 557 378 97.7 105.3 90.7
47 433 513 348 87.3 93.8 81.8
46 398 472 321 79 84 74.6
45 366 434 294.9 72.1 75.4 68.9
44 337 399 271.4 65.9 67.8 64.1
43 310 367 250.3 60.3 61.2 59.5
42 286.7 339 231.7 55.1 55.4 54.7
41 265.8 314 215.3 50.1 50.4 49.9
40 247.4 291.4 200.9 45.6 45.8 45.3
39 231.3 272 188.2 41.5 41.8 41.2
38 217.2 255.1 176.8 38 38.3 37.6
37 204.7 240.4 166.4 35 35.4 34.5
36 193.6 227.5 156.9 32.1 33.1 31.2
35 183.5 216.3 148.2 29.3 31.2 27.5
34 174.5 206.3 140.2 26.7 29.7 23.8
33 166.4 197.5 133 24.5 28.6 20.6
32 159.3 189.7 126.4 23 27.7 18.4
31 153 183 120.6 22.1 27 17
30 147.6 177.5 115.4 21.3 26.4 15.7
29 143.3 173.5 110.9 20.5 26 14.5
28 140.1 171.1 106.9 19.8 25.6 13.5
27 137.9 170.3 103.3 19.1 25.3 12.7
26 136.6 170.9 100 18.7 25.1 12
25 135.8 172.4 96.8 18.4 25 11.6
24 135 174 93.4 18.5 25 11.4
23 133.5 174.7 89.7 18.8 25.1 11.4
22 130.8 173.4 85.6 18.8 25.3 11.5
21 126.5 169.1 81 19.3 25.2 11.7
20 120 161.3 76 19.2 24.6 11.9
19 111.7 150 70.8 17.4 22.9 11.7
18 101.9 136.1 65.5 15.4 20.2 11.1
17 91.4 120.7 60.3 13.4 16.6 10
16 81 105.3 55.2 10.9 12.9 8.67
15 71.4 91.2 50.3 8.4 9.53 7.22
14 63 79.4 45.7 6.43 6.96 5.9
13 56.3 70.4 41.3 5.01 5.16 4.85
12 51.4 64.4 37.6 4.03 3.98 4.07
11 48.3 61.3 34.6 3.41 3.26 3.55
10 47.3 61.1 32.8 3.05 2.86 3.25
9 48.6 63.8 32.6 2.92 2.71 3.13
8 52.7 69.9 34.6 2.97 2.76 3.19
7 60.5 80.3 39.7 3.22 3.02 3.42
6 73.5 96.2 49.5 3.69 3.53 3.85
5 94.2 119.5 67.4 4.44 4.36 4.52
4 126.6 153 98.7 2.02 1.85 2.17
3 177 199.9 152.9 3.3 3.3 3.31
2 255.7 265 245.8 8.22 8.29 8.14
1 378 354 403 16.7 16.8 16.6
0 4,650 5,086 4,193 104.4 115.1 92.9

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

GeoRank.org/life-expectancy/pakistan/san-marino | 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 Pakistan, the most common age of death is 0, compared to 91 in San Marino. The median age of death is 74.3 in Pakistan and 88.3 in San Marino, 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 Pakistan and San Marino 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/pakistan/san-marino | 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.