Skip to content

Life Expectancy in India vs Luxembourg (1950-2026)

Updated on by Georank team

The average life expectancy at birth is 72.7 years in India vs 82.6 in Luxembourg. India is ranked 117/197 by life expectancy, and Luxembourg is 24/197. In India, the life expectancy is 71.2 years for males and 74.4 years for females. In Luxembourg, it's 81.1 years for males and 84.2 years for females.

India vs Luxembourg life expectancy at birth by year

India
Male

Female
Luxembourg
Male

Female
1x
Year Life expectancy, years
India Luxembourg
Average Male Female Average Male Female
2026 72.7 71.2 74.4 82.6 81.1 84.2
2025 72.5 71 74.1 82.5 80.9 84.1
2024 72.2 70.7 73.9 82.4 80.7 83.9
2023 72 70.5 73.6 82.2 80.6 83.8
2022 71.7 70.2 73.3 82.2 80.6 83.8
2021 67.3 65.9 68.8 81.8 80.3 83.3
2020 70.2 68.5 71.9 81.4 79.7 83.1
2019 70.7 69.3 72.3 81.6 79.9 83.2
2018 70.4 69 72 81.5 79.8 83.2
2017 70.1 68.6 71.6 81.1 79.5 82.6
2016 69.7 68.2 71.3 81.6 79.7 83.5
2015 69.3 67.8 70.9 81.3 79.6 82.8
2014 68.9 67.4 70.6 81.2 79.1 83.3
2013 68.5 67 70.2 80.9 79.3 82.3
2012 68.1 66.5 69.7 80.4 78.7 82
2011 67.6 66.1 69.3 80.3 78.3 82.1
2010 67.2 65.6 68.8 80.1 77.9 82.1
2009 66.7 65.2 68.3 79.9 78.1 81.5
2008 66.2 64.8 67.8 80.1 78.1 81.9
2007 65.8 64.4 67.4 79.1 76.7 81.4
2006 65.4 64 66.9 78.8 76.7 80.8
2005 64.9 63.6 66.4 78.9 76.7 80.8
2004 64.5 63.2 65.8 78.7 76 81.1
2003 64.1 62.9 65.4 77.3 74.8 79.6
2002 63.6 62.5 64.9 77.6 74.6 80.4
2001 63.2 62.1 64.3 77.5 75 79.8
2000 62.7 61.8 63.8 77.3 74.5 79.8
1999 62.3 61.4 63.2 77 74.3 79.5
1998 61.9 61 62.8 76.6 73.6 79.3
1997 61.4 60.6 62.3 76.4 73.9 78.6
1996 61 60.2 61.9 76.2 73.1 79
1995 60.6 59.9 61.4 75.9 72.9 78.7
1994 60.2 59.5 61 75.9 73.1 78.5
1993 59.8 59.1 60.6 75.4 72.1 78.6
1992 59.4 58.7 60.2 74.7 71.9 77.5
1991 59 58.3 59.8 75 71.9 77.8
1990 58.6 58 59.4 75 72.3 77.4
1989 58.2 57.6 58.9 74.3 71.2 77.2
1988 57.7 57.2 58.4 74.3 70.9 77.5
1987 57.3 56.8 57.9 73.9 70.6 77
1986 56.8 56.4 57.3 74.1 70.7 77.4
1985 56.3 56 56.7 73.3 70.2 76.2
1984 55.8 55.5 56.1 72.7 69.6 75.7
1983 55.3 55.1 55.5 73 69.8 76.1
1982 54.7 54.7 54.8 72.2 68.8 75.5
1981 54.2 54.2 54.2 72.1 68.9 75.2
1980 53.6 53.7 53.5 72.4 69.8 74.8
1979 53 53.2 52.8 72.3 68.8 75.7
1978 52.4 52.7 52.1 71.5 68.2 74.7
1977 51.8 52.2 51.4 71.5 67.9 75.1
1976 51.3 51.7 50.9 70.2 67 73.6
1975 50.8 51.2 50.3 70.3 67 73.8
1974 50.3 50.7 49.7 70.2 66.9 73.6
1973 49.6 50.1 49.1 70.3 66.8 74.1
1972 49.2 49.7 48.7 70.5 67.6 73.4
1971 48.9 49.4 48.3 69.2 66.2 72.5
1970 48.6 49.1 48 69.2 66.4 72.2
1969 48.3 48.8 47.7 69.7 66.6 73
1968 47.9 48.5 47.3 70 67.3 72.8
1967 46.2 46.7 45.6 69.5 66.5 72.6
1966 45.9 46.4 45.3 68.9 66.3 71.7
1965 45.6 46.1 45 69.2 66.1 72.5
1964 46.7 47.3 46.1 68.8 65.4 72.5
1963 46.5 47.1 45.8 68.7 65.9 71.6
1962 46.1 46.8 45.4 68.4 65.7 71.3
1961 45.8 46.5 45.1 69.1 66.8 71.7
1960 45.6 46.3 44.9 68.8 66 71.7
1959 45.3 45.9 44.5 68.4 66.3 70.5
1958 44.8 45.5 44.1 68.4 66.1 70.8
1957 44.4 45.1 43.7 66.9 64.4 69.6
1956 44.1 44.8 43.4 67.1 64.7 69.8
1955 43.7 44.4 43 67.4 65 69.9
1954 43.2 43.9 42.5 66.7 64.3 69.2
1953 42.4 43.1 41.7 66.4 64.1 68.9
1952 42.1 42.8 41.3 66.1 63.9 68.6
1951 41.6 42.3 40.8 65.9 63.6 68.2
1950 41.2 41.9 40.4 65.5 63.4 67.9

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

GeoRank.org/life-expectancy/india/luxembourg | 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 58.1 years in India and 71.2 in Luxembourg. People who reach age 60 can expect an additional 11.5 healthy years in India and 18.8 in Luxembourg.

India vs Luxembourg 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 India and Luxembourg, 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:
45.6 vs 53.4 years

Mean expected age of death:
75.6 vs 83.4 years

Median expected age of death:
77.6 vs 85.8 years

Odds of living to

Target age Survival probability
India Luxembourg
Male Female Male Female
40 97.8% 98.8% 99.5% 99.5%
50 93.5% 96.2% 98.2% 98.6%
60 84.2% 89.4% 94.3% 96.3%
65 76.6% 83.4% 90.4% 93.9%
70 66.2% 74.6% 84.6% 90.2%
75 52.8% 62.5% 76.1% 84.4%
80 37.8% 47.3% 64.2% 75.3%
85 22.8% 30.4% 46.5% 59.9%
90 10.8% 15.4% 24.9% 37.4%
95 3.6% 5.4% 8.1% 15.0%
100 0.8% 1.2% 1.2% 2.9%

Life expectancy by current age

India
Male

Female
Luxembourg
Male

Female
1x
Current age, years Total life expectancy, years
India Luxembourg
Average Male Female Average Male Female
100 102.5 102.4 102.5 102.1 101.9 102.1
99 101.6 101.6 101.6 101.2 101.1 101.2
98 100.7 100.7 100.8 100.4 100.2 100.4
97 99.9 99.9 99.9 99.5 99.4 99.6
96 99 99 99.1 98.7 98.5 98.8
95 98.2 98.2 98.2 98 97.7 98.1
94 97.4 97.4 97.4 97.2 97 97.3
93 96.6 96.6 96.6 96.5 96.2 96.6
92 95.8 95.8 95.9 95.8 95.5 95.9
91 95.1 95 95.1 95.1 94.7 95.3
90 94.3 94.2 94.4 94.5 94.1 94.7
89 93.6 93.5 93.6 93.8 93.4 94.1
88 92.8 92.7 92.9 93.2 92.8 93.5
87 92.1 92 92.2 92.7 92.1 93
86 91.5 91.3 91.6 92.1 91.6 92.5
85 90.8 90.6 90.9 91.6 91 92
84 90.1 89.9 90.3 91.1 90.5 91.6
83 89.5 89.3 89.7 90.7 90 91.2
82 88.9 88.6 89.1 90.3 89.5 90.8
81 88.3 88 88.5 89.9 89.1 90.4
80 87.7 87.4 87.9 89.5 88.7 90.1
79 87.1 86.8 87.4 89.2 88.3 89.8
78 86.6 86.2 86.9 88.8 88 89.5
77 86 85.7 86.3 88.5 87.6 89.3
76 85.5 85.1 85.9 88.2 87.3 89
75 85 84.6 85.4 87.9 87 88.8
74 84.5 84.1 85 87.7 86.7 88.5
73 84.1 83.6 84.5 87.4 86.4 88.3
72 83.6 83.1 84.1 87.2 86.1 88.1
71 83.2 82.6 83.7 86.9 85.8 87.9
70 82.8 82.2 83.3 86.7 85.5 87.7
69 82.4 81.7 83 86.5 85.3 87.6
68 82 81.3 82.6 86.3 85 87.4
67 81.6 80.9 82.3 86.1 84.8 87.2
66 81.3 80.5 82 85.9 84.6 87.1
65 80.9 80.2 81.7 85.7 84.4 86.9
64 80.6 79.8 81.4 85.5 84.2 86.8
63 80.3 79.5 81.1 85.4 84 86.7
62 80 79.2 80.9 85.2 83.8 86.6
61 79.8 78.9 80.6 85.1 83.7 86.4
60 79.5 78.6 80.4 85 83.5 86.3
59 79.2 78.3 80.2 84.8 83.4 86.2
58 79 78 80 84.7 83.2 86.2
57 78.7 77.8 79.7 84.6 83.1 86.1
56 78.5 77.5 79.6 84.5 83 86
55 78.3 77.3 79.4 84.4 82.9 85.9
54 78.1 77.1 79.2 84.3 82.7 85.9
53 77.9 76.8 79 84.2 82.6 85.8
52 77.8 76.7 78.9 84.1 82.6 85.7
51 77.6 76.5 78.8 84.1 82.5 85.7
50 77.5 76.3 78.6 84 82.4 85.6
49 77.3 76.2 78.5 83.9 82.3 85.6
48 77.2 76 78.4 83.9 82.3 85.5
47 77.1 75.8 78.3 83.8 82.2 85.5
46 76.9 75.7 78.2 83.8 82.1 85.4
45 76.8 75.6 78.2 83.7 82.1 85.4
44 76.7 75.4 78.1 83.7 82.1 85.4
43 76.6 75.3 78 83.7 82 85.3
42 76.5 75.2 77.9 83.6 82 85.3
41 76.4 75.1 77.9 83.6 82 85.3
40 76.3 75 77.8 83.6 81.9 85.2
39 76.3 74.9 77.7 83.6 81.9 85.2
38 76.2 74.8 77.7 83.5 81.9 85.2
37 76.1 74.7 77.6 83.5 81.8 85.2
36 76 74.6 77.6 83.5 81.8 85.2
35 75.9 74.5 77.5 83.5 81.8 85.1
34 75.9 74.4 77.5 83.5 81.8 85.1
33 75.8 74.3 77.4 83.4 81.8 85.1
32 75.7 74.2 77.4 83.4 81.7 85.1
31 75.7 74.2 77.3 83.4 81.7 85
30 75.6 74.1 77.3 83.4 81.7 85
29 75.6 74 77.2 83.3 81.7 85
28 75.5 74 77.2 83.3 81.6 85
27 75.5 73.9 77.1 83.3 81.6 84.9
26 75.4 73.9 77.1 83.3 81.6 84.9
25 75.4 73.8 77 83.2 81.6 84.9
24 75.3 73.7 77 83.2 81.6 84.9
23 75.3 73.7 76.9 83.2 81.6 84.8
22 75.2 73.6 76.9 83.2 81.5 84.8
21 75.2 73.6 76.9 83.2 81.5 84.8
20 75.1 73.5 76.8 83.1 81.5 84.8
19 75.1 73.5 76.8 83.1 81.5 84.7
18 75 73.4 76.7 83.1 81.5 84.7
17 75 73.4 76.7 83.1 81.4 84.7
16 75 73.4 76.7 83.1 81.4 84.7
15 74.9 73.3 76.6 83 81.4 84.6
14 74.9 73.3 76.6 83 81.4 84.6
13 74.9 73.3 76.6 83 81.4 84.6
12 74.9 73.3 76.6 83 81.4 84.6
11 74.8 73.2 76.5 83 81.4 84.5
10 74.8 73.2 76.5 83 81.4 84.5
9 74.8 73.2 76.5 83 81.4 84.5
8 74.8 73.2 76.5 82.9 81.4 84.5
7 74.7 73.1 76.4 82.9 81.4 84.5
6 74.7 73.1 76.4 82.9 81.4 84.4
5 74.6 73.1 76.4 82.9 81.4 84.4
4 74.6 73 76.3 82.9 81.4 84.4
3 74.5 73 76.3 82.9 81.4 84.4
2 74.5 72.9 76.2 82.9 81.4 84.4
1 74.3 72.7 75.9 82.9 81.3 84.4
0 72.7 71.2 74.4 82.6 81.1 84.2

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

GeoRank.org/life-expectancy/india/luxembourg | 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 India can expect to live to 75.6 years compared to 83.4 in Luxembourg, rising to 80.9 and 85.7 at 65, and to 87.7 and 89.5 at 80 — higher than the 72.7 and 82.6 years calculated at birth.

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

Probability of surviving to a given age

India
Male

Female
Luxembourg
Male

Female
1x
Age Survival probability
India Luxembourg
Average Male Female Average Male Female
100 0.93% 0.75% 1.11% 2.14% 1.24% 2.89%
99 1.32% 1.06% 1.59% 3.21% 1.93% 4.3%
98 1.83% 1.47% 2.21% 4.66% 2.9% 6.16%
97 2.49% 2% 3% 6.52% 4.21% 8.52%
96 3.31% 2.67% 3.99% 8.83% 5.91% 11.4%
95 4.32% 3.48% 5.18% 11.6% 8.03% 14.8%
94 5.52% 4.47% 6.61% 14.8% 10.6% 18.6%
93 6.93% 5.64% 8.28% 18.4% 13.6% 22.9%
92 8.56% 7.01% 10.2% 22.4% 17% 27.4%
91 10.4% 8.58% 12.3% 26.6% 20.7% 32.1%
90 12.5% 10.4% 14.7% 31% 24.7% 36.9%
89 14.7% 12.3% 17.3% 35.5% 28.9% 41.7%
88 17.2% 14.5% 20.1% 40% 33.2% 46.4%
87 19.8% 16.8% 23% 44.3% 37.6% 50.9%
86 22.5% 19.2% 26% 48.6% 41.9% 55.2%
85 25.4% 21.8% 29.2% 52.6% 46.1% 59.2%
84 28.3% 24.5% 32.4% 56.5% 50.1% 62.9%
83 31.3% 27.3% 35.6% 60% 53.9% 66.2%
82 34.4% 30.2% 38.9% 63.3% 57.5% 69.3%
81 37.5% 33.1% 42.1% 66.3% 60.7% 72%
80 40.5% 36.1% 45.3% 68.9% 63.7% 74.4%
79 43.6% 39.1% 48.4% 71.4% 66.4% 76.5%
78 46.5% 42% 51.5% 73.6% 68.9% 78.5%
77 49.4% 44.9% 54.4% 75.7% 71.2% 80.3%
76 52.3% 47.7% 57.2% 77.6% 73.4% 81.9%
75 55% 50.4% 59.9% 79.4% 75.5% 83.4%
74 57.6% 53.1% 62.5% 81% 77.4% 84.8%
73 60.2% 55.8% 64.9% 82.6% 79.2% 86.1%
72 62.6% 58.3% 67.2% 83.9% 80.9% 87.2%
71 64.9% 60.8% 69.4% 85.2% 82.4% 88.2%
70 67.2% 63.2% 71.5% 86.4% 83.9% 89.1%
69 69.3% 65.4% 73.4% 87.5% 85.2% 90%
68 71.2% 67.5% 75.2% 88.6% 86.5% 90.8%
67 73.1% 69.5% 76.9% 89.5% 87.6% 91.5%
66 74.8% 71.4% 78.5% 90.4% 88.6% 92.2%
65 76.4% 73.1% 80% 91.1% 89.6% 92.8%
64 77.9% 74.7% 81.3% 91.9% 90.5% 93.3%
63 79.3% 76.3% 82.5% 92.5% 91.3% 93.9%
62 80.6% 77.7% 83.7% 93.2% 92.1% 94.3%
61 81.8% 79.1% 84.7% 93.7% 92.8% 94.8%
60 83% 80.4% 85.7% 94.3% 93.4% 95.1%
59 84% 81.6% 86.6% 94.7% 94% 95.5%
58 85% 82.8% 87.5% 95.2% 94.6% 95.8%
57 86% 83.9% 88.3% 95.5% 95% 96%
56 86.9% 84.9% 89% 95.9% 95.5% 96.3%
55 87.7% 85.8% 89.7% 96.2% 95.9% 96.5%
54 88.4% 86.7% 90.4% 96.5% 96.2% 96.7%
53 89.1% 87.4% 90.9% 96.7% 96.5% 96.9%
52 89.7% 88.1% 91.4% 97% 96.8% 97.1%
51 90.2% 88.7% 91.8% 97.2% 97.1% 97.3%
50 90.7% 89.3% 92.2% 97.4% 97.4% 97.4%
49 91.1% 89.8% 92.6% 97.6% 97.6% 97.6%
48 91.6% 90.3% 92.9% 97.7% 97.8% 97.7%
47 92% 90.8% 93.2% 97.9% 97.9% 97.8%
46 92.3% 91.3% 93.5% 98% 98.1% 97.9%
45 92.7% 91.7% 93.7% 98.1% 98.2% 98%
44 93% 92.1% 93.9% 98.2% 98.3% 98.1%
43 93.3% 92.5% 94.1% 98.3% 98.4% 98.2%
42 93.5% 92.8% 94.3% 98.4% 98.5% 98.3%
41 93.8% 93.1% 94.5% 98.4% 98.5% 98.3%
40 94% 93.4% 94.7% 98.5% 98.6% 98.4%
39 94.2% 93.7% 94.8% 98.6% 98.7% 98.4%
38 94.4% 93.9% 95% 98.6% 98.8% 98.4%
37 94.6% 94.2% 95.1% 98.7% 98.8% 98.5%
36 94.8% 94.4% 95.2% 98.7% 98.9% 98.5%
35 95% 94.6% 95.4% 98.7% 98.9% 98.6%
34 95.1% 94.8% 95.5% 98.8% 98.9% 98.6%
33 95.3% 95% 95.6% 98.8% 99% 98.7%
32 95.4% 95.2% 95.7% 98.9% 99% 98.7%
31 95.6% 95.3% 95.8% 98.9% 99.1% 98.8%
30 95.7% 95.5% 95.9% 99% 99.1% 98.8%
29 95.8% 95.6% 96% 99% 99.2% 98.9%
28 95.9% 95.8% 96.1% 99.1% 99.2% 98.9%
27 96% 95.9% 96.1% 99.1% 99.2% 99%
26 96.1% 96% 96.2% 99.1% 99.3% 99%
25 96.2% 96.1% 96.3% 99.2% 99.3% 99%
24 96.3% 96.2% 96.4% 99.2% 99.3% 99.1%
23 96.4% 96.3% 96.5% 99.2% 99.4% 99.1%
22 96.5% 96.4% 96.6% 99.3% 99.4% 99.1%
21 96.6% 96.5% 96.6% 99.3% 99.4% 99.2%
20 96.7% 96.6% 96.7% 99.3% 99.5% 99.2%
19 96.7% 96.7% 96.8% 99.4% 99.5% 99.3%
18 96.8% 96.8% 96.8% 99.4% 99.5% 99.3%
17 96.9% 96.8% 96.9% 99.4% 99.5% 99.3%
16 96.9% 96.9% 96.9% 99.5% 99.6% 99.4%
15 97% 97% 97% 99.5% 99.6% 99.4%
14 97% 97% 97% 99.5% 99.6% 99.4%
13 97.1% 97% 97.1% 99.5% 99.6% 99.5%
12 97.1% 97.1% 97.1% 99.6% 99.6% 99.5%
11 97.1% 97.1% 97.1% 99.6% 99.6% 99.5%
10 97.2% 97.1% 97.2% 99.6% 99.6% 99.6%
9 97.2% 97.2% 97.2% 99.6% 99.6% 99.6%
8 97.2% 97.2% 97.2% 99.6% 99.6% 99.6%
7 97.3% 97.3% 97.3% 99.6% 99.6% 99.7%
6 97.3% 97.3% 97.3% 99.6% 99.6% 99.7%
5 97.4% 97.4% 97.4% 99.6% 99.6% 99.7%
4 97.5% 97.5% 97.5% 99.7% 99.6% 99.7%
3 97.5% 97.5% 97.5% 99.7% 99.6% 99.7%
2 97.6% 97.6% 97.7% 99.7% 99.7% 99.7%
1 97.9% 97.9% 98% 99.7% 99.7% 99.8%

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

GeoRank.org/life-expectancy/india/luxembourg | CC BY

This chart shows the odds of living to each age from birth. 83% of newborns in India and 94.3% in Luxembourg are expected to live past 60, 67.2% and 86.4% past 70, 40.5% and 68.9% past 80, and only 12.5% and 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

India
Male

Female
Luxembourg
Male

Female
1x
Age Probability of dying
India Luxembourg
Average Male Female Average Male Female
100 31.3% 31% 31.5% 35.8% 38.2% 35.2%
99 29.7% 29.5% 29.8% 33.4% 35.8% 32.8%
98 28% 28% 28.1% 31% 33.5% 30.2%
97 26.4% 26.4% 26.4% 28.6% 31.1% 27.7%
96 24.8% 24.9% 24.7% 26.2% 28.7% 25.3%
95 23.2% 23.4% 23.1% 23.9% 26.4% 22.9%
94 21.8% 22.1% 21.6% 21.7% 24.1% 20.6%
93 20.4% 20.8% 20.1% 19.6% 22% 18.5%
92 19.1% 19.5% 18.8% 17.7% 20% 16.5%
91 17.8% 18.3% 17.5% 15.8% 18.1% 14.7%
90 16.5% 17.1% 16.2% 14.2% 16.3% 13%
89 15.3% 15.9% 14.9% 12.6% 14.6% 11.5%
88 14.2% 14.8% 13.8% 11.2% 13% 10.1%
87 13.1% 13.7% 12.7% 9.89% 11.6% 8.85%
86 12.1% 12.8% 11.7% 8.74% 10.3% 7.74%
85 11.2% 11.9% 10.7% 7.69% 9.1% 6.74%
84 10.4% 11% 9.9% 6.76% 8.02% 5.86%
83 9.64% 10.3% 9.12% 5.94% 7.04% 5.07%
82 8.92% 9.57% 8.39% 5.17% 6.15% 4.38%
81 8.24% 8.88% 7.71% 4.48% 5.34% 3.76%
80 7.58% 8.22% 7.06% 3.89% 4.64% 3.24%
79 6.97% 7.57% 6.45% 3.42% 4.08% 2.82%
78 6.39% 6.97% 5.89% 3.02% 3.63% 2.49%
77 5.86% 6.42% 5.38% 2.73% 3.29% 2.23%
76 5.39% 5.92% 4.91% 2.47% 2.99% 2.01%
75 4.95% 5.47% 4.48% 2.26% 2.74% 1.82%
74 4.57% 5.08% 4.11% 2.04% 2.48% 1.62%
73 4.23% 4.73% 3.76% 1.84% 2.27% 1.44%
72 3.9% 4.39% 3.45% 1.65% 2.06% 1.28%
71 3.6% 4.06% 3.16% 1.5% 1.89% 1.14%
70 3.31% 3.74% 2.89% 1.38% 1.74% 1.04%
69 3.03% 3.43% 2.65% 1.27% 1.6% 0.96%
68 2.77% 3.13% 2.42% 1.16% 1.44% 0.88%
67 2.52% 2.85% 2.2% 1.05% 1.3% 0.8%
66 2.3% 2.6% 2% 0.95% 1.17% 0.73%
65 2.1% 2.38% 1.82% 0.86% 1.06% 0.66%
64 1.92% 2.19% 1.65% 0.79% 0.97% 0.6%
63 1.76% 2.02% 1.5% 0.73% 0.9% 0.55%
62 1.61% 1.87% 1.36% 0.67% 0.83% 0.5%
61 1.49% 1.73% 1.24% 0.61% 0.77% 0.44%
60 1.38% 1.61% 1.14% 0.55% 0.7% 0.39%
59 1.28% 1.5% 1.06% 0.5% 0.64% 0.35%
58 1.19% 1.4% 0.99% 0.45% 0.57% 0.32%
57 1.11% 1.29% 0.92% 0.4% 0.51% 0.29%
56 1.02% 1.19% 0.84% 0.36% 0.45% 0.27%
55 0.93% 1.08% 0.77% 0.33% 0.41% 0.25%
54 0.83% 0.97% 0.69% 0.3% 0.37% 0.23%
53 0.74% 0.87% 0.61% 0.27% 0.34% 0.21%
52 0.66% 0.78% 0.54% 0.25% 0.31% 0.19%
51 0.59% 0.7% 0.47% 0.22% 0.28% 0.17%
50 0.53% 0.64% 0.42% 0.2% 0.25% 0.15%
49 0.49% 0.6% 0.38% 0.18% 0.22% 0.14%
48 0.45% 0.56% 0.34% 0.16% 0.19% 0.13%
47 0.42% 0.53% 0.31% 0.14% 0.17% 0.12%
46 0.4% 0.5% 0.29% 0.13% 0.15% 0.11%
45 0.37% 0.47% 0.26% 0.11% 0.13% 0.1%
44 0.34% 0.43% 0.24% 0.1% 0.11% 0.09%
43 0.31% 0.4% 0.22% 0.09% 0.1% 0.07%
42 0.29% 0.36% 0.21% 0.07% 0.08% 0.07%
41 0.26% 0.33% 0.19% 0.07% 0.08% 0.06%
40 0.24% 0.31% 0.18% 0.06% 0.07% 0.05%
39 0.23% 0.29% 0.16% 0.06% 0.07% 0.05%
38 0.22% 0.27% 0.15% 0.05% 0.07% 0.04%
37 0.2% 0.26% 0.14% 0.05% 0.06% 0.04%
36 0.19% 0.25% 0.13% 0.04% 0.05% 0.04%
35 0.18% 0.23% 0.12% 0.04% 0.04% 0.04%
34 0.17% 0.21% 0.12% 0.04% 0.04% 0.05%
33 0.15% 0.19% 0.11% 0.05% 0.04% 0.05%
32 0.14% 0.18% 0.11% 0.05% 0.04% 0.06%
31 0.13% 0.16% 0.1% 0.05% 0.05% 0.05%
30 0.13% 0.15% 0.1% 0.05% 0.05% 0.05%
29 0.12% 0.14% 0.1% 0.05% 0.05% 0.05%
28 0.12% 0.14% 0.09% 0.04% 0.04% 0.05%
27 0.11% 0.13% 0.09% 0.04% 0.03% 0.05%
26 0.11% 0.13% 0.09% 0.03% 0.03% 0.04%
25 0.11% 0.12% 0.09% 0.03% 0.03% 0.04%
24 0.1% 0.12% 0.09% 0.03% 0.03% 0.03%
23 0.1% 0.11% 0.08% 0.03% 0.03% 0.04%
22 0.09% 0.1% 0.08% 0.04% 0.03% 0.04%
21 0.08% 0.09% 0.07% 0.04% 0.04% 0.04%
20 0.08% 0.09% 0.07% 0.04% 0.04% 0.04%
19 0.07% 0.08% 0.07% 0.04% 0.03% 0.04%
18 0.07% 0.07% 0.06% 0.04% 0.03% 0.04%
17 0.07% 0.07% 0.06% 0.03% 0.02% 0.04%
16 0.06% 0.06% 0.06% 0.03% 0.02% 0.04%
15 0.06% 0.06% 0.05% 0.02% 0.01% 0.03%
14 0.05% 0.05% 0.05% 0.02% 0.009% 0.03%
13 0.04% 0.04% 0.04% 0.02% 0.007% 0.04%
12 0.04% 0.04% 0.03% 0.02% 0.005% 0.04%
11 0.03% 0.03% 0.03% 0.02% 0.004% 0.03%
10 0.03% 0.03% 0.03% 0.01% 0.004% 0.03%
9 0.03% 0.03% 0.03% 0.02% 0.004% 0.03%
8 0.04% 0.04% 0.04% 0.02% 0.004% 0.03%
7 0.05% 0.05% 0.04% 0.01% 0.004% 0.02%
6 0.06% 0.06% 0.06% 0.007% 0.004% 0.01%
5 0.07% 0.07% 0.07% 0.005% 0.005% 0.006%
4 0.07% 0.07% 0.07% 0.007% 0.005% 0.008%
3 0.08% 0.07% 0.08% 0.01% 0.007% 0.02%
2 0.1% 0.09% 0.11% 0.02% 0.01% 0.03%
1 0.28% 0.25% 0.3% 0.04% 0.04% 0.05%
0 2.09% 2.13% 2.05% 0.27% 0.31% 0.23%

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

GeoRank.org/life-expectancy/india/luxembourg | CC BY

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

The annual chance of dying is 2.09% in the birth year in India and 0.27% in Luxembourg, 0.13% vs 0.05% at age 30, 1.38% vs 0.55% at 60, and 7.58% vs 3.89% at 80.

Death rate by age in India vs Luxembourg

India
Male

Female
Luxembourg
Male

Female
1x
Age Death rate
India Luxembourg
Total Male Female Total Male Female
100 218.3 169 269.5 612 282.4 887
99 392 313 474 1,074 692 1,408
98 514 412 620 1,443 970 1,862
97 658 529 792 1,862 1,308 2,362
96 822 665 986 2,311 1,696 2,881
95 1,003 817 1,198 2,774 2,120 3,387
94 1,201 986 1,427 3,212 2,554 3,846
93 1,413 1,171 1,668 3,616 2,987 4,236
92 1,634 1,369 1,914 3,956 3,388 4,533
91 1,855 1,573 2,156 4,213 3,737 4,726
90 2,066 1,771 2,381 4,397 4,016 4,811
89 2,261 1,961 2,585 4,488 4,214 4,795
88 2,438 2,138 2,763 4,475 4,327 4,689
87 2,594 2,300 2,913 4,388 4,357 4,508
86 2,729 2,449 3,035 4,245 4,309 4,270
85 2,845 2,584 3,132 4,046 4,194 3,990
84 2,942 2,705 3,202 3,818 4,020 3,682
83 3,017 2,809 3,246 3,562 3,798 3,359
82 3,066 2,890 3,261 3,273 3,535 3,030
81 3,085 2,943 3,245 2,968 3,244 2,707
80 3,074 2,966 3,199 2,684 2,955 2,411
79 3,035 2,958 3,127 2,438 2,709 2,161
78 2,975 2,927 3,033 2,224 2,497 1,953
77 2,900 2,879 2,925 2,065 2,340 1,789
76 2,814 2,822 2,807 1,918 2,192 1,646
75 2,724 2,761 2,686 1,793 2,068 1,516
74 2,635 2,701 2,565 1,649 1,921 1,373
73 2,542 2,636 2,442 1,517 1,799 1,238
72 2,444 2,560 2,319 1,386 1,664 1,111
71 2,337 2,470 2,194 1,280 1,556 1,010
70 2,221 2,364 2,069 1,190 1,457 929
69 2,099 2,242 1,944 1,115 1,363 863
68 1,972 2,113 1,819 1,029 1,247 799
67 1,845 1,983 1,696 941 1,135 735
66 1,721 1,857 1,574 860 1,039 672
65 1,603 1,741 1,455 784 950 611
64 1,494 1,635 1,341 722 878 559
63 1,393 1,540 1,234 675 822 517
62 1,301 1,452 1,137 625 765 471
61 1,217 1,371 1,052 573 711 420
60 1,144 1,297 980 521 655 372
59 1,078 1,226 918 472 599 333
58 1,015 1,157 863 426 538 302
57 952 1,085 808 383 481 277.4
56 885 1,010 751 344 427 255.7
55 813 928 688 316 390 237.8
54 737 844 621 289.8 356 219.1
53 662 762 554 265.4 328 199.7
52 593 688 491 242.3 299.7 182.5
51 533 624 435 218.6 269.3 166.3
50 484 573 388 196 239 151
49 446 535 350 175.2 211.6 137.7
48 415 505 318 155 183.9 125.9
47 389 480 290.9 139 162.1 116
46 366 455 267.7 125.5 144.2 106.5
45 342 429 246.9 110.1 124.6 95.1
44 317 399 227.8 96 108.4 83.5
43 292.6 368 210.4 84 94.9 72.9
42 269.3 338 194.4 73.7 83.4 63.9
41 248.3 311 180 67.1 77.1 57
40 230.3 288.3 167.1 62.5 73.9 51
39 215.5 270.6 155.3 57.6 69.9 45.1
38 203.1 256.6 144.7 53.2 65.4 40.7
37 192 244.1 135.2 48.6 58.5 38.4
36 181.4 231.7 126.7 43.7 49.2 37.9
35 170.6 217.9 119.1 42.3 43.8 40.7
34 159 201.8 112.2 42.7 40 45.6
33 147.3 184.8 106.2 46.1 40.4 52.2
32 136.5 168.6 101.1 48.7 42.1 55.7
31 127.2 154.5 97 48.9 44.7 53.2
30 120 143.4 94 49.7 48.5 51
29 115 135.7 92 46.4 44.7 48.3
28 111.8 130.7 90.9 43.5 39.3 48
27 109.6 127.3 90 38.9 32.9 45.4
26 107.3 124 88.9 33.5 28.5 38.9
25 104.3 119.9 87 31.5 28.3 34.9
24 99.8 114.1 84 30.9 27.5 34.5
23 94 106.8 80 33.4 30 37.1
22 87.7 98.7 75.6 36 33.7 38.5
21 81.6 90.8 71.4 37 36.4 37.6
20 76.1 83.7 67.7 37 37.5 36.5
19 71.6 77.6 64.9 36.2 33 39.4
18 67.8 72.3 62.8 35.5 27.9 43.3
17 64.1 67.3 60.6 30.8 21.8 40.4
16 59.8 61.8 57.5 25.7 16.5 35.4
15 54.3 55.5 52.9 23.2 13.2 33.9
14 47.7 48.4 46.8 21.2 9.46 33.8
13 40.5 41.1 39.9 21.4 7.12 36.2
12 34.4 35 33.7 19.8 5.39 35
11 30.4 31.2 29.6 15.7 4.17 28.2
10 28.4 29.4 27.4 14.6 3.85 25.9
9 30 31.4 28.5 17.2 3.8 31.1
8 36.6 38.8 34.2 18.3 4.12 33.2
7 46.5 49.5 43.2 13.9 4.46 23.5
6 57.2 60.5 53.6 7.42 4.34 10.6
5 66.6 69 63.9 5.46 4.64 6.31
4 72.2 72.2 72.3 6.55 4.86 8.31
3 73.9 69.6 78.6 12 7.18 17
2 100.6 90.7 111.1 20.4 13 28.1
1 269.3 247.9 292.1 40.7 35.7 46
0 2,091 2,131 2,048 270.7 313 225.8

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

GeoRank.org/life-expectancy/india/luxembourg | 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 India, the most common age of death is 81, compared to 89 in Luxembourg. The median age of death is 76.8 in India and 85.7 in Luxembourg, 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 India and Luxembourg 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/india/luxembourg | 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.