Life Expectancy in India vs Liechtenstein (1950-2026)

Life expectancy by current age

Chart Table

India

Male

Female

Liechtenstein

Male

Female

1x

Current age, years	Total life expectancy, years
	India			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	102.5	102.4	102.5	102.8	102.3	102.9
99	101.6	101.6	101.6	102	101.5	102.1
98	100.7	100.7	100.8	101.2	100.6	101.3
97	99.9	99.9	99.9	100.4	99.8	100.5
96	99	99	99.1	99.6	99	99.8
95	98.2	98.2	98.2	98.8	98.2	99.1
94	97.4	97.4	97.4	98.1	97.5	98.3
93	96.6	96.6	96.6	97.4	96.7	97.7
92	95.8	95.8	95.9	96.7	96	97
91	95.1	95	95.1	96	95.3	96.4
90	94.3	94.2	94.4	95.4	94.6	95.8
89	93.6	93.5	93.6	94.8	94	95.2
88	92.8	92.7	92.9	94.2	93.3	94.6
87	92.1	92	92.2	93.6	92.7	94.1
86	91.5	91.3	91.6	93	92.2	93.5
85	90.8	90.6	90.9	92.5	91.6	93
84	90.1	89.9	90.3	92	91.1	92.6
83	89.5	89.3	89.7	91.5	90.5	92.1
82	88.9	88.6	89.1	91	90.1	91.7
81	88.3	88	88.5	90.6	89.6	91.3
80	87.7	87.4	87.9	90.2	89.2	90.9
79	87.1	86.8	87.4	89.8	88.8	90.6
78	86.6	86.2	86.9	89.4	88.4	90.3
77	86	85.7	86.3	89.1	88	90
76	85.5	85.1	85.9	88.8	87.7	89.7
75	85	84.6	85.4	88.5	87.3	89.5
74	84.5	84.1	85	88.2	87	89.2
73	84.1	83.6	84.5	88	86.8	89
72	83.6	83.1	84.1	87.7	86.5	88.8
71	83.2	82.6	83.7	87.5	86.2	88.6
70	82.8	82.2	83.3	87.3	86	88.5
69	82.4	81.7	83	87.1	85.8	88.3
68	82	81.3	82.6	86.9	85.6	88.2
67	81.6	80.9	82.3	86.8	85.4	88
66	81.3	80.5	82	86.6	85.2	87.9
65	80.9	80.2	81.7	86.5	85	87.8
64	80.6	79.8	81.4	86.4	84.9	87.7
63	80.3	79.5	81.1	86.2	84.7	87.6
62	80	79.2	80.9	86.1	84.6	87.6
61	79.8	78.9	80.6	86	84.5	87.5
60	79.5	78.6	80.4	85.9	84.4	87.4
59	79.2	78.3	80.2	85.9	84.3	87.3
58	79	78	80	85.8	84.2	87.3
57	78.7	77.8	79.7	85.7	84.1	87.2
56	78.5	77.5	79.6	85.6	84	87.2
55	78.3	77.3	79.4	85.5	83.9	87.1
54	78.1	77.1	79.2	85.5	83.8	87.1
53	77.9	76.8	79	85.4	83.8	87
52	77.8	76.7	78.9	85.4	83.7	87
51	77.6	76.5	78.8	85.3	83.7	86.9
50	77.5	76.3	78.6	85.3	83.6	86.9
49	77.3	76.2	78.5	85.2	83.6	86.8
48	77.2	76	78.4	85.2	83.5	86.8
47	77.1	75.8	78.3	85.2	83.5	86.8
46	76.9	75.7	78.2	85.1	83.4	86.7
45	76.8	75.6	78.2	85.1	83.4	86.7
44	76.7	75.4	78.1	85.1	83.4	86.7
43	76.6	75.3	78	85.1	83.4	86.7
42	76.5	75.2	77.9	85	83.3	86.6
41	76.4	75.1	77.9	85	83.3	86.6
40	76.3	75	77.8	85	83.3	86.6
39	76.3	74.9	77.7	85	83.3	86.6
38	76.2	74.8	77.7	85	83.3	86.6
37	76.1	74.7	77.6	84.9	83.2	86.5
36	76	74.6	77.6	84.9	83.2	86.5
35	75.9	74.5	77.5	84.9	83.2	86.5
34	75.9	74.4	77.5	84.9	83.2	86.5
33	75.8	74.3	77.4	84.9	83.2	86.5
32	75.7	74.2	77.4	84.9	83.2	86.5
31	75.7	74.2	77.3	84.8	83.2	86.4
30	75.6	74.1	77.3	84.8	83.1	86.4
29	75.6	74	77.2	84.8	83.1	86.4
28	75.5	74	77.2	84.8	83.1	86.4
27	75.5	73.9	77.1	84.8	83.1	86.4
26	75.4	73.9	77.1	84.8	83.1	86.4
25	75.4	73.8	77	84.8	83.1	86.4
24	75.3	73.7	77	84.8	83.1	86.4
23	75.3	73.7	76.9	84.7	83.1	86.3
22	75.2	73.6	76.9	84.7	83	86.3
21	75.2	73.6	76.9	84.7	83	86.3
20	75.1	73.5	76.8	84.7	83	86.3
19	75.1	73.5	76.8	84.7	83	86.3
18	75	73.4	76.7	84.7	83	86.3
17	75	73.4	76.7	84.7	83	86.3
16	75	73.4	76.7	84.7	83	86.3
15	74.9	73.3	76.6	84.6	83	86.3
14	74.9	73.3	76.6	84.6	82.9	86.3
13	74.9	73.3	76.6	84.6	82.9	86.2
12	74.9	73.3	76.6	84.6	82.9	86.2
11	74.8	73.2	76.5	84.6	82.9	86.2
10	74.8	73.2	76.5	84.6	82.9	86.2
9	74.8	73.2	76.5	84.6	82.9	86.2
8	74.8	73.2	76.5	84.6	82.9	86.2
7	74.7	73.1	76.4	84.6	82.9	86.2
6	74.7	73.1	76.4	84.6	82.9	86.2
5	74.6	73.1	76.4	84.6	82.9	86.2
4	74.6	73	76.3	84.6	82.9	86.2
3	74.5	73	76.3	84.6	82.9	86.2
2	74.5	72.9	76.2	84.5	82.8	86.1
1	74.3	72.7	75.9	84.5	82.8	86.1
0	72.7	71.2	74.4	84.1	82.4	85.6

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 84.8 in Liechtenstein, rising to 80.9 and 86.5 at 65, and to 87.7 and 90.2 at 80 — higher than the 72.7 and 84.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

India

Male

Female

Liechtenstein

Male

Female

1x

Age	Survival probability
	India			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	0.93%	0.75%	1.11%	4.72%	2.39%	6.58%
99	1.32%	1.06%	1.59%	6.27%	3.42%	8.63%
98	1.83%	1.47%	2.21%	8.18%	4.75%	11.1%
97	2.49%	2%	3%	10.4%	6.43%	13.9%
96	3.31%	2.67%	3.99%	13.1%	8.47%	17%
95	4.32%	3.48%	5.18%	16%	10.9%	20.5%
94	5.52%	4.47%	6.61%	19.3%	13.7%	24.2%
93	6.93%	5.64%	8.28%	22.9%	16.9%	28.2%
92	8.56%	7.01%	10.2%	26.6%	20.3%	32.4%
91	10.4%	8.58%	12.3%	30.5%	24.1%	36.6%
90	12.5%	10.4%	14.7%	34.6%	28%	40.9%
89	14.7%	12.3%	17.3%	38.7%	32.1%	45.1%
88	17.2%	14.5%	20.1%	42.9%	36.3%	49.3%
87	19.8%	16.8%	23%	47%	40.5%	53.4%
86	22.5%	19.2%	26%	51%	44.7%	57.3%
85	25.4%	21.8%	29.2%	55%	48.8%	61.1%
84	28.3%	24.5%	32.4%	58.7%	52.8%	64.8%
83	31.3%	27.3%	35.6%	62.4%	56.7%	68.2%
82	34.4%	30.2%	38.9%	65.8%	60.3%	71.3%
81	37.5%	33.1%	42.1%	68.9%	63.7%	74.2%
80	40.5%	36.1%	45.3%	71.8%	66.9%	76.8%
79	43.6%	39.1%	48.4%	74.5%	69.8%	79.2%
78	46.5%	42%	51.5%	76.9%	72.5%	81.3%
77	49.4%	44.9%	54.4%	79.1%	75%	83.2%
76	52.3%	47.7%	57.2%	81.1%	77.3%	84.9%
75	55%	50.4%	59.9%	83%	79.4%	86.4%
74	57.6%	53.1%	62.5%	84.6%	81.4%	87.7%
73	60.2%	55.8%	64.9%	86.1%	83.2%	88.9%
72	62.6%	58.3%	67.2%	87.4%	84.8%	90%
71	64.9%	60.8%	69.4%	88.6%	86.2%	91%
70	67.2%	63.2%	71.5%	89.7%	87.6%	91.8%
69	69.3%	65.4%	73.4%	90.7%	88.8%	92.6%
68	71.2%	67.5%	75.2%	91.6%	89.9%	93.2%
67	73.1%	69.5%	76.9%	92.3%	90.8%	93.8%
66	74.8%	71.4%	78.5%	93%	91.7%	94.3%
65	76.4%	73.1%	80%	93.6%	92.4%	94.8%
64	77.9%	74.7%	81.3%	94.2%	93.1%	95.2%
63	79.3%	76.3%	82.5%	94.6%	93.7%	95.5%
62	80.6%	77.7%	83.7%	95.1%	94.3%	95.8%
61	81.8%	79.1%	84.7%	95.4%	94.8%	96.1%
60	83%	80.4%	85.7%	95.8%	95.2%	96.4%
59	84%	81.6%	86.6%	96.1%	95.7%	96.6%
58	85%	82.8%	87.5%	96.4%	96%	96.8%
57	86%	83.9%	88.3%	96.7%	96.4%	97%
56	86.9%	84.9%	89%	96.9%	96.7%	97.2%
55	87.7%	85.8%	89.7%	97.2%	96.9%	97.4%
54	88.4%	86.7%	90.4%	97.3%	97.2%	97.5%
53	89.1%	87.4%	90.9%	97.5%	97.4%	97.6%
52	89.7%	88.1%	91.4%	97.7%	97.6%	97.8%
51	90.2%	88.7%	91.8%	97.8%	97.7%	97.9%
50	90.7%	89.3%	92.2%	97.9%	97.9%	98%
49	91.1%	89.8%	92.6%	98%	98%	98.1%
48	91.6%	90.3%	92.9%	98.2%	98.1%	98.2%
47	92%	90.8%	93.2%	98.2%	98.2%	98.3%
46	92.3%	91.3%	93.5%	98.3%	98.3%	98.3%
45	92.7%	91.7%	93.7%	98.4%	98.4%	98.4%
44	93%	92.1%	93.9%	98.5%	98.5%	98.5%
43	93.3%	92.5%	94.1%	98.5%	98.5%	98.5%
42	93.5%	92.8%	94.3%	98.6%	98.6%	98.6%
41	93.8%	93.1%	94.5%	98.6%	98.6%	98.6%
40	94%	93.4%	94.7%	98.7%	98.7%	98.7%
39	94.2%	93.7%	94.8%	98.7%	98.7%	98.7%
38	94.4%	93.9%	95%	98.8%	98.8%	98.8%
37	94.6%	94.2%	95.1%	98.8%	98.8%	98.8%
36	94.8%	94.4%	95.2%	98.8%	98.8%	98.8%
35	95%	94.6%	95.4%	98.9%	98.9%	98.9%
34	95.1%	94.8%	95.5%	98.9%	98.9%	98.9%
33	95.3%	95%	95.6%	98.9%	98.9%	98.9%
32	95.4%	95.2%	95.7%	98.9%	98.9%	98.9%
31	95.6%	95.3%	95.8%	99%	99%	99%
30	95.7%	95.5%	95.9%	99%	99%	99%
29	95.8%	95.6%	96%	99%	99%	99%
28	95.9%	95.8%	96.1%	99%	99%	99%
27	96%	95.9%	96.1%	99.1%	99.1%	99.1%
26	96.1%	96%	96.2%	99.1%	99.1%	99.1%
25	96.2%	96.1%	96.3%	99.1%	99.1%	99.1%
24	96.3%	96.2%	96.4%	99.1%	99.1%	99.1%
23	96.4%	96.3%	96.5%	99.1%	99.1%	99.1%
22	96.5%	96.4%	96.6%	99.2%	99.2%	99.2%
21	96.6%	96.5%	96.6%	99.2%	99.2%	99.2%
20	96.7%	96.6%	96.7%	99.2%	99.2%	99.2%
19	96.7%	96.7%	96.8%	99.2%	99.2%	99.2%
18	96.8%	96.8%	96.8%	99.2%	99.3%	99.2%
17	96.9%	96.8%	96.9%	99.3%	99.3%	99.2%
16	96.9%	96.9%	96.9%	99.3%	99.3%	99.3%
15	97%	97%	97%	99.3%	99.3%	99.3%
14	97%	97%	97%	99.3%	99.3%	99.3%
13	97.1%	97%	97.1%	99.3%	99.3%	99.3%
12	97.1%	97.1%	97.1%	99.3%	99.3%	99.3%
11	97.1%	97.1%	97.1%	99.3%	99.3%	99.3%
10	97.2%	97.1%	97.2%	99.3%	99.4%	99.3%
9	97.2%	97.2%	97.2%	99.3%	99.4%	99.3%
8	97.2%	97.2%	97.2%	99.3%	99.4%	99.3%
7	97.3%	97.3%	97.3%	99.4%	99.4%	99.3%
6	97.3%	97.3%	97.3%	99.4%	99.4%	99.3%
5	97.4%	97.4%	97.4%	99.4%	99.4%	99.4%
4	97.5%	97.5%	97.5%	99.4%	99.4%	99.4%
3	97.5%	97.5%	97.5%	99.4%	99.4%	99.4%
2	97.6%	97.6%	97.7%	99.4%	99.5%	99.4%
1	97.9%	97.9%	98%	99.5%	99.5%	99.5%

This chart shows the odds of living to each age from birth. 83% of newborns in India and 95.8% in Liechtenstein are expected to live past 60, 67.2% and 89.7% past 70, 40.5% and 71.8% past 80, and only 12.5% and 34.6% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

India

Male

Female

Liechtenstein

Male

Female

1x

Age	Probability of dying
	India			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	31.3%	31%	31.5%	26.4%	32%	25.3%
99	29.7%	29.5%	29.8%	24.8%	30%	23.7%
98	28%	28%	28.1%	23.3%	28%	21.9%
97	26.4%	26.4%	26.4%	21.7%	26.1%	20.2%
96	24.8%	24.9%	24.7%	20%	24.1%	18.6%
95	23.2%	23.4%	23.1%	18.6%	22.3%	17%
94	21.8%	22.1%	21.6%	17.1%	20.4%	15.5%
93	20.4%	20.8%	20.1%	15.4%	18.7%	14.1%
92	19.1%	19.5%	18.8%	14%	17.1%	12.8%
91	17.8%	18.3%	17.5%	12.9%	15.5%	11.6%
90	16.5%	17.1%	16.2%	11.8%	14.1%	10.4%
89	15.3%	15.9%	14.9%	10.7%	12.8%	9.41%
88	14.2%	14.8%	13.8%	9.63%	11.5%	8.48%
87	13.1%	13.7%	12.7%	8.72%	10.4%	7.65%
86	12.1%	12.8%	11.7%	7.97%	9.39%	6.9%
85	11.2%	11.9%	10.7%	7.15%	8.44%	6.22%
84	10.4%	11%	9.9%	6.41%	7.57%	5.58%
83	9.64%	10.3%	9.12%	5.8%	6.77%	4.99%
82	8.92%	9.57%	8.39%	5.19%	6.04%	4.43%
81	8.24%	8.88%	7.71%	4.58%	5.36%	3.9%
80	7.58%	8.22%	7.06%	4.06%	4.76%	3.42%
79	6.97%	7.57%	6.45%	3.57%	4.22%	2.98%
78	6.39%	6.97%	5.89%	3.14%	3.74%	2.6%
77	5.86%	6.42%	5.38%	2.79%	3.33%	2.26%
76	5.39%	5.92%	4.91%	2.48%	2.97%	1.98%
75	4.95%	5.47%	4.48%	2.2%	2.65%	1.74%
74	4.57%	5.08%	4.11%	1.93%	2.38%	1.53%
73	4.23%	4.73%	3.76%	1.71%	2.13%	1.35%
72	3.9%	4.39%	3.45%	1.54%	1.91%	1.19%
71	3.6%	4.06%	3.16%	1.37%	1.71%	1.05%
70	3.31%	3.74%	2.89%	1.22%	1.52%	0.93%
69	3.03%	3.43%	2.65%	1.08%	1.35%	0.82%
68	2.77%	3.13%	2.42%	0.95%	1.2%	0.71%
67	2.52%	2.85%	2.2%	0.83%	1.06%	0.62%
66	2.3%	2.6%	2%	0.73%	0.93%	0.54%
65	2.1%	2.38%	1.82%	0.64%	0.82%	0.47%
64	1.92%	2.19%	1.65%	0.57%	0.73%	0.41%
63	1.76%	2.02%	1.5%	0.51%	0.65%	0.36%
62	1.61%	1.87%	1.36%	0.45%	0.59%	0.32%
61	1.49%	1.73%	1.24%	0.41%	0.53%	0.29%
60	1.38%	1.61%	1.14%	0.37%	0.48%	0.27%
59	1.28%	1.5%	1.06%	0.34%	0.44%	0.24%
58	1.19%	1.4%	0.99%	0.3%	0.39%	0.22%
57	1.11%	1.29%	0.92%	0.28%	0.35%	0.2%
56	1.02%	1.19%	0.84%	0.25%	0.31%	0.19%
55	0.93%	1.08%	0.77%	0.22%	0.27%	0.17%
54	0.83%	0.97%	0.69%	0.2%	0.24%	0.16%
53	0.74%	0.87%	0.61%	0.17%	0.21%	0.14%
52	0.66%	0.78%	0.54%	0.16%	0.19%	0.13%
51	0.59%	0.7%	0.47%	0.14%	0.17%	0.12%
50	0.53%	0.64%	0.42%	0.13%	0.15%	0.11%
49	0.49%	0.6%	0.38%	0.12%	0.13%	0.1%
48	0.45%	0.56%	0.34%	0.11%	0.12%	0.09%
47	0.42%	0.53%	0.31%	0.1%	0.11%	0.09%
46	0.4%	0.5%	0.29%	0.09%	0.09%	0.08%
45	0.37%	0.47%	0.26%	0.08%	0.08%	0.07%
44	0.34%	0.43%	0.24%	0.07%	0.07%	0.06%
43	0.31%	0.4%	0.22%	0.06%	0.06%	0.06%
42	0.29%	0.36%	0.21%	0.05%	0.06%	0.05%
41	0.26%	0.33%	0.19%	0.05%	0.05%	0.05%
40	0.24%	0.31%	0.18%	0.05%	0.05%	0.05%
39	0.23%	0.29%	0.16%	0.04%	0.04%	0.04%
38	0.22%	0.27%	0.15%	0.04%	0.04%	0.04%
37	0.2%	0.26%	0.14%	0.04%	0.03%	0.04%
36	0.19%	0.25%	0.13%	0.03%	0.03%	0.03%
35	0.18%	0.23%	0.12%	0.03%	0.03%	0.03%
34	0.17%	0.21%	0.12%	0.03%	0.03%	0.03%
33	0.15%	0.19%	0.11%	0.03%	0.03%	0.03%
32	0.14%	0.18%	0.11%	0.03%	0.03%	0.03%
31	0.13%	0.16%	0.1%	0.03%	0.02%	0.03%
30	0.13%	0.15%	0.1%	0.02%	0.02%	0.03%
29	0.12%	0.14%	0.1%	0.02%	0.02%	0.02%
28	0.12%	0.14%	0.09%	0.02%	0.02%	0.02%
27	0.11%	0.13%	0.09%	0.02%	0.02%	0.02%
26	0.11%	0.13%	0.09%	0.02%	0.02%	0.02%
25	0.11%	0.12%	0.09%	0.02%	0.02%	0.02%
24	0.1%	0.12%	0.09%	0.02%	0.02%	0.02%
23	0.1%	0.11%	0.08%	0.02%	0.02%	0.02%
22	0.09%	0.1%	0.08%	0.02%	0.03%	0.02%
21	0.08%	0.09%	0.07%	0.02%	0.02%	0.02%
20	0.08%	0.09%	0.07%	0.02%	0.02%	0.02%
19	0.07%	0.08%	0.07%	0.02%	0.02%	0.02%
18	0.07%	0.07%	0.06%	0.02%	0.02%	0.01%
17	0.07%	0.07%	0.06%	0.02%	0.02%	0.01%
16	0.06%	0.06%	0.06%	0.01%	0.02%	0.01%
15	0.06%	0.06%	0.05%	0.01%	0.01%	0.01%
14	0.05%	0.05%	0.05%	0.01%	0.01%	0.009%
13	0.04%	0.04%	0.04%	0.009%	0.009%	0.008%
12	0.04%	0.04%	0.03%	0.008%	0.008%	0.008%
11	0.03%	0.03%	0.03%	0.008%	0.008%	0.007%
10	0.03%	0.03%	0.03%	0.008%	0.008%	0.007%
9	0.03%	0.03%	0.03%	0.008%	0.008%	0.008%
8	0.04%	0.04%	0.04%	0.009%	0.009%	0.008%
7	0.05%	0.05%	0.04%	0.01%	0.01%	0.01%
6	0.06%	0.06%	0.06%	0.01%	0.01%	0.01%
5	0.07%	0.07%	0.07%	0.01%	0.01%	0.01%
4	0.07%	0.07%	0.07%	0.02%	0.01%	0.02%
3	0.08%	0.07%	0.08%	0.02%	0.02%	0.02%
2	0.1%	0.09%	0.11%	0.02%	0.02%	0.03%
1	0.28%	0.25%	0.3%	0.03%	0.02%	0.04%
0	2.09%	2.13%	2.05%	0.53%	0.53%	0.54%

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

The annual chance of dying is 2.09% in the birth year in India and 0.53% in Liechtenstein, 0.13% vs 0.02% at age 30, 1.38% vs 0.37% at 60, and 7.58% vs 4.06% at 80.

Death rate by age in India vs Liechtenstein

Chart Table

India

Male

Female

Liechtenstein

Male

Female

1x

Age	Death rate
	India			Liechtenstein
	Total	Male	Female	Total	Male	Female
100	218.3	169	269.5	1,195	648	1,703
99	392	313	474	1,554	1,027	2,048
98	514	412	620	1,907	1,332	2,424
97	658	529	792	2,268	1,676	2,798
96	822	665	986	2,609	2,045	3,155
95	1,003	817	1,198	2,987	2,426	3,481
94	1,201	986	1,427	3,302	2,801	3,761
93	1,413	1,171	1,668	3,522	3,153	3,985
92	1,634	1,369	1,914	3,723	3,469	4,144
91	1,855	1,573	2,156	3,939	3,735	4,237
90	2,066	1,771	2,381	4,072	3,945	4,268
89	2,261	1,961	2,585	4,145	4,096	4,245
88	2,438	2,138	2,763	4,129	4,186	4,181
87	2,594	2,300	2,913	4,097	4,218	4,082
86	2,729	2,449	3,035	4,069	4,195	3,956
85	2,845	2,584	3,132	3,929	4,121	3,801
84	2,942	2,705	3,202	3,763	4,000	3,617
83	3,017	2,809	3,246	3,617	3,837	3,402
82	3,066	2,890	3,261	3,410	3,639	3,159
81	3,085	2,943	3,245	3,159	3,417	2,895
80	3,074	2,966	3,199	2,916	3,182	2,625
79	3,035	2,958	3,127	2,660	2,945	2,359
78	2,975	2,927	3,033	2,417	2,714	2,110
77	2,900	2,879	2,925	2,207	2,497	1,883
76	2,814	2,822	2,807	2,009	2,294	1,681
75	2,724	2,761	2,686	1,827	2,107	1,501
74	2,635	2,701	2,565	1,637	1,933	1,343
73	2,542	2,636	2,442	1,470	1,771	1,201
72	2,444	2,560	2,319	1,347	1,618	1,074
71	2,337	2,470	2,194	1,214	1,472	958
70	2,221	2,364	2,069	1,091	1,334	852
69	2,099	2,242	1,944	980	1,202	755
68	1,972	2,113	1,819	869	1,078	665
67	1,845	1,983	1,696	767	962	583
66	1,721	1,857	1,574	682	857	510
65	1,603	1,741	1,455	602	762	446
64	1,494	1,635	1,341	536	680	392
63	1,393	1,540	1,234	478	611	347
62	1,301	1,452	1,137	426	552	310
61	1,217	1,371	1,052	392	503	280.9
60	1,144	1,297	980	358	459	256.3
59	1,078	1,226	918	324	418	235.3
58	1,015	1,157	863	294.1	379	216.4
57	952	1,085	808	267.7	340	198.6
56	885	1,010	751	245.6	302	181.8
55	813	928	688	217.6	266.1	165.9
54	737	844	621	190.4	233.9	151.4
53	662	762	554	170.4	206	138.3
52	593	688	491	154.3	182.4	126.8
51	533	624	435	139	162.5	116.7
50	484	573	388	126.5	145.6	107.6
49	446	535	350	115.9	130.6	99.2
48	415	505	318	104.2	116.8	91.3
47	389	480	290.9	93.6	103.8	83.6
46	366	455	267.7	84	91.7	76.2
45	342	429	246.9	75.1	80.6	69.2
44	317	399	227.8	67	70.7	62.8
43	292.6	368	210.4	59.6	62.2	57.2
42	269.3	338	194.4	53.6	55.1	52.3
41	248.3	311	180	48.7	49.3	48.1
40	230.3	288.3	167.1	44.5	44.5	44.6
39	215.5	270.6	155.3	41.1	40.5	41.5
38	203.1	256.6	144.7	38.1	37.3	38.8
37	192	244.1	135.2	35.4	34.5	36.4
36	181.4	231.7	126.7	33.1	32.1	34.2
35	170.6	217.9	119.1	31.1	30.1	32.1
34	159	201.8	112.2	29.3	28.4	30.3
33	147.3	184.8	106.2	27.8	26.9	28.6
32	136.5	168.6	101.1	26.4	25.6	27.2
31	127.2	154.5	97	25.2	24.6	25.9
30	120	143.4	94	24.3	23.8	24.8
29	115	135.7	92	23.6	23.3	23.9
28	111.8	130.7	90.9	23	23.1	23
27	109.6	127.3	90	22.6	23.1	22.2
26	107.3	124	88.9	22.3	23.3	21.4
25	104.3	119.9	87	22.2	23.7	20.6
24	99.8	114.1	84	22	24.1	19.8
23	94	106.8	80	21.8	24.6	19
22	87.7	98.7	75.6	21.6	24.8	18.2
21	81.6	90.8	71.4	21	24.7	17.3
20	76.1	83.7	67.7	20.1	24	16.4
19	71.6	77.6	64.9	19.1	22.5	15.3
18	67.8	72.3	62.8	17.5	20.4	14
17	64.1	67.3	60.6	15.5	17.8	12.7
16	59.8	61.8	57.5	13.3	15	11.4
15	54.3	55.5	52.9	11.4	12.5	10.1
14	47.7	48.4	46.8	9.8	10.5	9.02
13	40.5	41.1	39.9	8.67	9.11	8.18
12	34.4	35	33.7	7.95	8.24	7.6
11	30.4	31.2	29.6	7.62	7.86	7.31
10	28.4	29.4	27.4	7.63	7.91	7.31
9	30	31.4	28.5	7.99	8.32	7.63
8	36.6	38.8	34.2	8.7	9.05	8.33
7	46.5	49.5	43.2	9.77	10	9.49
6	57.2	60.5	53.6	11.2	11.2	11.2
5	66.6	69	63.9	13.2	12.6	13.8
4	72.2	72.2	72.3	15.6	14.1	17.5
3	73.9	69.6	78.6	18.8	15.7	22.5
2	100.6	90.7	111.1	23	17.4	29.4
1	269.3	247.9	292.1	28.2	19.4	38.6
0	2,091	2,131	2,048	533	527	541

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 Liechtenstein. The median age of death is 76.8 in India and 86.3 in Liechtenstein, 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 Liechtenstein more than their death rates.

Life expectancy in other countries

+ -

1x