Life Expectancy in India vs Monaco (1950-2026)

Life expectancy by current age

Chart Table

India

Male

Female

Monaco

Male

Female

1x

Current age, years	Total life expectancy, years
	India			Monaco
	Average	Male	Female	Average	Male	Female
100	102.5	102.4	102.5	103.1	102.6	103.3
99	101.6	101.6	101.6	102.3	101.8	102.6
98	100.7	100.7	100.8	101.5	101	101.9
97	99.9	99.9	99.9	100.8	100.2	101.2
96	99	99	99.1	100.1	99.4	100.5
95	98.2	98.2	98.2	99.3	98.7	99.8
94	97.4	97.4	97.4	98.7	97.9	99.2
93	96.6	96.6	96.6	98	97.2	98.5
92	95.8	95.8	95.9	97.3	96.6	97.9
91	95.1	95	95.1	96.7	95.9	97.4
90	94.3	94.2	94.4	96.1	95.3	96.8
89	93.6	93.5	93.6	95.6	94.7	96.3
88	92.8	92.7	92.9	95	94.1	95.8
87	92.1	92	92.2	94.5	93.5	95.4
86	91.5	91.3	91.6	94	93	94.9
85	90.8	90.6	90.9	93.5	92.5	94.5
84	90.1	89.9	90.3	93.1	92	94.1
83	89.5	89.3	89.7	92.6	91.5	93.7
82	88.9	88.6	89.1	92.2	91.1	93.3
81	88.3	88	88.5	91.9	90.7	93
80	87.7	87.4	87.9	91.5	90.3	92.7
79	87.1	86.8	87.4	91.2	89.9	92.4
78	86.6	86.2	86.9	90.9	89.6	92.2
77	86	85.7	86.3	90.6	89.3	91.9
76	85.5	85.1	85.9	90.3	89	91.7
75	85	84.6	85.4	90.1	88.7	91.5
74	84.5	84.1	85	89.9	88.5	91.4
73	84.1	83.6	84.5	89.7	88.2	91.2
72	83.6	83.1	84.1	89.5	88	91.1
71	83.2	82.6	83.7	89.3	87.8	90.9
70	82.8	82.2	83.3	89.1	87.6	90.8
69	82.4	81.7	83	89	87.4	90.7
68	82	81.3	82.6	88.8	87.2	90.6
67	81.6	80.9	82.3	88.7	87.1	90.5
66	81.3	80.5	82	88.6	86.9	90.4
65	80.9	80.2	81.7	88.5	86.8	90.3
64	80.6	79.8	81.4	88.4	86.7	90.3
63	80.3	79.5	81.1	88.3	86.6	90.2
62	80	79.2	80.9	88.2	86.5	90.1
61	79.8	78.9	80.6	88.2	86.4	90.1
60	79.5	78.6	80.4	88.1	86.3	90
59	79.2	78.3	80.2	88	86.2	90
58	79	78	80	88	86.1	90
57	78.7	77.8	79.7	87.9	86.1	89.9
56	78.5	77.5	79.6	87.9	86	89.9
55	78.3	77.3	79.4	87.8	85.9	89.8
54	78.1	77.1	79.2	87.8	85.9	89.8
53	77.9	76.8	79	87.7	85.8	89.8
52	77.8	76.7	78.9	87.7	85.8	89.7
51	77.6	76.5	78.8	87.6	85.7	89.7
50	77.5	76.3	78.6	87.6	85.7	89.7
49	77.3	76.2	78.5	87.6	85.7	89.7
48	77.2	76	78.4	87.6	85.6	89.6
47	77.1	75.8	78.3	87.5	85.6	89.6
46	76.9	75.7	78.2	87.5	85.6	89.6
45	76.8	75.6	78.2	87.5	85.6	89.6
44	76.7	75.4	78.1	87.5	85.5	89.5
43	76.6	75.3	78	87.4	85.5	89.5
42	76.5	75.2	77.9	87.4	85.5	89.5
41	76.4	75.1	77.9	87.4	85.5	89.5
40	76.3	75	77.8	87.4	85.5	89.5
39	76.3	74.9	77.7	87.4	85.5	89.5
38	76.2	74.8	77.7	87.4	85.4	89.5
37	76.1	74.7	77.6	87.4	85.4	89.4
36	76	74.6	77.6	87.3	85.4	89.4
35	75.9	74.5	77.5	87.3	85.4	89.4
34	75.9	74.4	77.5	87.3	85.4	89.4
33	75.8	74.3	77.4	87.3	85.4	89.4
32	75.7	74.2	77.4	87.3	85.4	89.4
31	75.7	74.2	77.3	87.3	85.4	89.4
30	75.6	74.1	77.3	87.3	85.4	89.4
29	75.6	74	77.2	87.3	85.3	89.4
28	75.5	74	77.2	87.3	85.3	89.4
27	75.5	73.9	77.1	87.3	85.3	89.4
26	75.4	73.9	77.1	87.2	85.3	89.3
25	75.4	73.8	77	87.2	85.3	89.3
24	75.3	73.7	77	87.2	85.3	89.3
23	75.3	73.7	76.9	87.2	85.3	89.3
22	75.2	73.6	76.9	87.2	85.3	89.3
21	75.2	73.6	76.9	87.2	85.3	89.3
20	75.1	73.5	76.8	87.2	85.2	89.3
19	75.1	73.5	76.8	87.2	85.2	89.3
18	75	73.4	76.7	87.2	85.2	89.3
17	75	73.4	76.7	87.2	85.2	89.3
16	75	73.4	76.7	87.2	85.2	89.3
15	74.9	73.3	76.6	87.2	85.2	89.3
14	74.9	73.3	76.6	87.1	85.2	89.3
13	74.9	73.3	76.6	87.1	85.2	89.3
12	74.9	73.3	76.6	87.1	85.2	89.3
11	74.8	73.2	76.5	87.1	85.2	89.3
10	74.8	73.2	76.5	87.1	85.2	89.2
9	74.8	73.2	76.5	87.1	85.2	89.2
8	74.8	73.2	76.5	87.1	85.2	89.2
7	74.7	73.1	76.4	87.1	85.2	89.2
6	74.7	73.1	76.4	87.1	85.2	89.2
5	74.6	73.1	76.4	87.1	85.2	89.2
4	74.6	73	76.3	87.1	85.1	89.2
3	74.5	73	76.3	87.1	85.1	89.2
2	74.5	72.9	76.2	87.1	85.1	89.2
1	74.3	72.7	75.9	87.1	85.1	89.2
0	72.7	71.2	74.4	86.7	84.8	88.8

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 87.3 in Monaco, rising to 80.9 and 88.5 at 65, and to 87.7 and 91.5 at 80 — higher than the 72.7 and 86.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

India

Male

Female

Monaco

Male

Female

1x

Age	Survival probability
	India			Monaco
	Average	Male	Female	Average	Male	Female
100	0.93%	0.75%	1.11%	8.43%	4.58%	12.9%
99	1.32%	1.06%	1.59%	10.8%	6.25%	16%
98	1.83%	1.47%	2.21%	13.5%	8.3%	19.4%
97	2.49%	2%	3%	16.6%	10.7%	23.2%
96	3.31%	2.67%	3.99%	20%	13.6%	27.2%
95	4.32%	3.48%	5.18%	23.7%	16.8%	31.4%
94	5.52%	4.47%	6.61%	27.7%	20.3%	35.7%
93	6.93%	5.64%	8.28%	31.8%	24.1%	40.1%
92	8.56%	7.01%	10.2%	36%	28.2%	44.5%
91	10.4%	8.58%	12.3%	40.2%	32.4%	48.8%
90	12.5%	10.4%	14.7%	44.5%	36.7%	53%
89	14.7%	12.3%	17.3%	48.7%	41%	57.1%
88	17.2%	14.5%	20.1%	52.7%	45.3%	60.9%
87	19.8%	16.8%	23%	56.7%	49.5%	64.6%
86	22.5%	19.2%	26%	60.5%	53.6%	68%
85	25.4%	21.8%	29.2%	64.1%	57.5%	71.2%
84	28.3%	24.5%	32.4%	67.5%	61.2%	74.3%
83	31.3%	27.3%	35.6%	70.7%	64.7%	77.1%
82	34.4%	30.2%	38.9%	73.6%	68%	79.6%
81	37.5%	33.1%	42.1%	76.3%	71%	81.9%
80	40.5%	36.1%	45.3%	78.7%	73.8%	83.9%
79	43.6%	39.1%	48.4%	80.9%	76.3%	85.7%
78	46.5%	42%	51.5%	82.8%	78.6%	87.3%
77	49.4%	44.9%	54.4%	84.6%	80.7%	88.6%
76	52.3%	47.7%	57.2%	86.1%	82.6%	89.9%
75	55%	50.4%	59.9%	87.6%	84.3%	90.9%
74	57.6%	53.1%	62.5%	88.8%	85.9%	91.9%
73	60.2%	55.8%	64.9%	90%	87.3%	92.7%
72	62.6%	58.3%	67.2%	91%	88.5%	93.5%
71	64.9%	60.8%	69.4%	91.9%	89.7%	94.1%
70	67.2%	63.2%	71.5%	92.7%	90.7%	94.7%
69	69.3%	65.4%	73.4%	93.4%	91.7%	95.2%
68	71.2%	67.5%	75.2%	94.1%	92.5%	95.7%
67	73.1%	69.5%	76.9%	94.6%	93.2%	96%
66	74.8%	71.4%	78.5%	95.1%	93.9%	96.4%
65	76.4%	73.1%	80%	95.6%	94.4%	96.7%
64	77.9%	74.7%	81.3%	96%	94.9%	96.9%
63	79.3%	76.3%	82.5%	96.3%	95.4%	97.1%
62	80.6%	77.7%	83.7%	96.6%	95.8%	97.3%
61	81.8%	79.1%	84.7%	96.9%	96.2%	97.5%
60	83%	80.4%	85.7%	97.1%	96.5%	97.7%
59	84%	81.6%	86.6%	97.3%	96.8%	97.8%
58	85%	82.8%	87.5%	97.5%	97.1%	98%
57	86%	83.9%	88.3%	97.7%	97.3%	98.1%
56	86.9%	84.9%	89%	97.9%	97.6%	98.2%
55	87.7%	85.8%	89.7%	98%	97.8%	98.3%
54	88.4%	86.7%	90.4%	98.2%	97.9%	98.4%
53	89.1%	87.4%	90.9%	98.3%	98.1%	98.5%
52	89.7%	88.1%	91.4%	98.4%	98.2%	98.6%
51	90.2%	88.7%	91.8%	98.5%	98.3%	98.7%
50	90.7%	89.3%	92.2%	98.6%	98.4%	98.7%
49	91.1%	89.8%	92.6%	98.7%	98.5%	98.8%
48	91.6%	90.3%	92.9%	98.7%	98.6%	98.8%
47	92%	90.8%	93.2%	98.8%	98.7%	98.9%
46	92.3%	91.3%	93.5%	98.9%	98.8%	98.9%
45	92.7%	91.7%	93.7%	98.9%	98.8%	99%
44	93%	92.1%	93.9%	99%	98.9%	99%
43	93.3%	92.5%	94.1%	99%	98.9%	99.1%
42	93.5%	92.8%	94.3%	99%	99%	99.1%
41	93.8%	93.1%	94.5%	99.1%	99%	99.1%
40	94%	93.4%	94.7%	99.1%	99%	99.2%
39	94.2%	93.7%	94.8%	99.1%	99.1%	99.2%
38	94.4%	93.9%	95%	99.1%	99.1%	99.2%
37	94.6%	94.2%	95.1%	99.2%	99.1%	99.2%
36	94.8%	94.4%	95.2%	99.2%	99.1%	99.2%
35	95%	94.6%	95.4%	99.2%	99.2%	99.3%
34	95.1%	94.8%	95.5%	99.2%	99.2%	99.3%
33	95.3%	95%	95.6%	99.3%	99.2%	99.3%
32	95.4%	95.2%	95.7%	99.3%	99.2%	99.3%
31	95.6%	95.3%	95.8%	99.3%	99.2%	99.3%
30	95.7%	95.5%	95.9%	99.3%	99.3%	99.4%
29	95.8%	95.6%	96%	99.3%	99.3%	99.4%
28	95.9%	95.8%	96.1%	99.3%	99.3%	99.4%
27	96%	95.9%	96.1%	99.4%	99.3%	99.4%
26	96.1%	96%	96.2%	99.4%	99.3%	99.4%
25	96.2%	96.1%	96.3%	99.4%	99.3%	99.4%
24	96.3%	96.2%	96.4%	99.4%	99.4%	99.4%
23	96.4%	96.3%	96.5%	99.4%	99.4%	99.4%
22	96.5%	96.4%	96.6%	99.4%	99.4%	99.5%
21	96.6%	96.5%	96.6%	99.4%	99.4%	99.5%
20	96.7%	96.6%	96.7%	99.5%	99.4%	99.5%
19	96.7%	96.7%	96.8%	99.5%	99.4%	99.5%
18	96.8%	96.8%	96.8%	99.5%	99.5%	99.5%
17	96.9%	96.8%	96.9%	99.5%	99.5%	99.5%
16	96.9%	96.9%	96.9%	99.5%	99.5%	99.5%
15	97%	97%	97%	99.5%	99.5%	99.5%
14	97%	97%	97%	99.5%	99.5%	99.5%
13	97.1%	97%	97.1%	99.5%	99.5%	99.5%
12	97.1%	97.1%	97.1%	99.5%	99.5%	99.5%
11	97.1%	97.1%	97.1%	99.5%	99.5%	99.5%
10	97.2%	97.1%	97.2%	99.5%	99.5%	99.5%
9	97.2%	97.2%	97.2%	99.5%	99.5%	99.6%
8	97.2%	97.2%	97.2%	99.5%	99.5%	99.6%
7	97.3%	97.3%	97.3%	99.6%	99.5%	99.6%
6	97.3%	97.3%	97.3%	99.6%	99.6%	99.6%
5	97.4%	97.4%	97.4%	99.6%	99.6%	99.6%
4	97.5%	97.5%	97.5%	99.6%	99.6%	99.6%
3	97.5%	97.5%	97.5%	99.6%	99.6%	99.6%
2	97.6%	97.6%	97.7%	99.6%	99.6%	99.6%
1	97.9%	97.9%	98%	99.6%	99.6%	99.6%

This chart shows the odds of living to each age from birth. 83% of newborns in India and 97.1% in Monaco are expected to live past 60, 67.2% and 92.7% past 70, 40.5% and 78.7% past 80, and only 12.5% and 44.5% 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

Monaco

Male

Female

1x

Age	Probability of dying
	India			Monaco
	Average	Male	Female	Average	Male	Female
100	31.3%	31%	31.5%	23.4%	28.5%	20.9%
99	29.7%	29.5%	29.8%	21.9%	26.7%	19.5%
98	28%	28%	28.1%	20.2%	24.7%	17.8%
97	26.4%	26.4%	26.4%	18.6%	22.7%	16.2%
96	24.8%	24.9%	24.7%	17%	20.9%	14.7%
95	23.2%	23.4%	23.1%	15.6%	19.1%	13.4%
94	21.8%	22.1%	21.6%	14.2%	17.4%	12.1%
93	20.4%	20.8%	20.1%	12.9%	15.8%	10.9%
92	19.1%	19.5%	18.8%	11.7%	14.4%	9.85%
91	17.8%	18.3%	17.5%	10.6%	13%	8.83%
90	16.5%	17.1%	16.2%	9.55%	11.7%	7.9%
89	15.3%	15.9%	14.9%	8.61%	10.5%	7.06%
88	14.2%	14.8%	13.8%	7.77%	9.46%	6.32%
87	13.1%	13.7%	12.7%	6.98%	8.5%	5.66%
86	12.1%	12.8%	11.7%	6.28%	7.62%	5.08%
85	11.2%	11.9%	10.7%	5.63%	6.83%	4.55%
84	10.4%	11%	9.9%	5.04%	6.1%	4.07%
83	9.64%	10.3%	9.12%	4.49%	5.43%	3.62%
82	8.92%	9.57%	8.39%	3.97%	4.82%	3.19%
81	8.24%	8.88%	7.71%	3.49%	4.26%	2.79%
80	7.58%	8.22%	7.06%	3.07%	3.75%	2.42%
79	6.97%	7.57%	6.45%	2.69%	3.31%	2.09%
78	6.39%	6.97%	5.89%	2.36%	2.91%	1.8%
77	5.86%	6.42%	5.38%	2.07%	2.58%	1.56%
76	5.39%	5.92%	4.91%	1.83%	2.28%	1.35%
75	4.95%	5.47%	4.48%	1.62%	2.03%	1.18%
74	4.57%	5.08%	4.11%	1.43%	1.81%	1.03%
73	4.23%	4.73%	3.76%	1.27%	1.62%	0.91%
72	3.9%	4.39%	3.45%	1.12%	1.44%	0.8%
71	3.6%	4.06%	3.16%	0.99%	1.29%	0.7%
70	3.31%	3.74%	2.89%	0.88%	1.14%	0.61%
69	3.03%	3.43%	2.65%	0.78%	1.01%	0.53%
68	2.77%	3.13%	2.42%	0.68%	0.89%	0.46%
67	2.52%	2.85%	2.2%	0.59%	0.78%	0.4%
66	2.3%	2.6%	2%	0.52%	0.69%	0.35%
65	2.1%	2.38%	1.82%	0.45%	0.6%	0.3%
64	1.92%	2.19%	1.65%	0.4%	0.53%	0.26%
63	1.76%	2.02%	1.5%	0.35%	0.47%	0.23%
62	1.61%	1.87%	1.36%	0.31%	0.43%	0.2%
61	1.49%	1.73%	1.24%	0.28%	0.38%	0.18%
60	1.38%	1.61%	1.14%	0.26%	0.35%	0.17%
59	1.28%	1.5%	1.06%	0.23%	0.32%	0.15%
58	1.19%	1.4%	0.99%	0.21%	0.29%	0.14%
57	1.11%	1.29%	0.92%	0.19%	0.26%	0.13%
56	1.02%	1.19%	0.84%	0.17%	0.23%	0.12%
55	0.93%	1.08%	0.77%	0.15%	0.2%	0.11%
54	0.83%	0.97%	0.69%	0.13%	0.18%	0.1%
53	0.74%	0.87%	0.61%	0.12%	0.15%	0.09%
52	0.66%	0.78%	0.54%	0.11%	0.14%	0.08%
51	0.59%	0.7%	0.47%	0.1%	0.12%	0.07%
50	0.53%	0.64%	0.42%	0.09%	0.11%	0.07%
49	0.49%	0.6%	0.38%	0.08%	0.1%	0.06%
48	0.45%	0.56%	0.34%	0.07%	0.09%	0.06%
47	0.42%	0.53%	0.31%	0.06%	0.08%	0.05%
46	0.4%	0.5%	0.29%	0.06%	0.07%	0.05%
45	0.37%	0.47%	0.26%	0.05%	0.06%	0.04%
44	0.34%	0.43%	0.24%	0.05%	0.05%	0.04%
43	0.31%	0.4%	0.22%	0.04%	0.05%	0.04%
42	0.29%	0.36%	0.21%	0.04%	0.04%	0.03%
41	0.26%	0.33%	0.19%	0.03%	0.04%	0.03%
40	0.24%	0.31%	0.18%	0.03%	0.03%	0.03%
39	0.23%	0.29%	0.16%	0.03%	0.03%	0.03%
38	0.22%	0.27%	0.15%	0.03%	0.03%	0.02%
37	0.2%	0.26%	0.14%	0.02%	0.03%	0.02%
36	0.19%	0.25%	0.13%	0.02%	0.02%	0.02%
35	0.18%	0.23%	0.12%	0.02%	0.02%	0.02%
34	0.17%	0.21%	0.12%	0.02%	0.02%	0.02%
33	0.15%	0.19%	0.11%	0.02%	0.02%	0.02%
32	0.14%	0.18%	0.11%	0.02%	0.02%	0.02%
31	0.13%	0.16%	0.1%	0.02%	0.02%	0.02%
30	0.13%	0.15%	0.1%	0.02%	0.02%	0.02%
29	0.12%	0.14%	0.1%	0.02%	0.02%	0.02%
28	0.12%	0.14%	0.09%	0.02%	0.02%	0.01%
27	0.11%	0.13%	0.09%	0.02%	0.02%	0.01%
26	0.11%	0.13%	0.09%	0.02%	0.02%	0.01%
25	0.11%	0.12%	0.09%	0.02%	0.02%	0.01%
24	0.1%	0.12%	0.09%	0.02%	0.02%	0.01%
23	0.1%	0.11%	0.08%	0.02%	0.02%	0.01%
22	0.09%	0.1%	0.08%	0.01%	0.02%	0.01%
21	0.08%	0.09%	0.07%	0.01%	0.02%	0.01%
20	0.08%	0.09%	0.07%	0.01%	0.02%	0.01%
19	0.07%	0.08%	0.07%	0.01%	0.02%	0.01%
18	0.07%	0.07%	0.06%	0.01%	0.01%	0.009%
17	0.07%	0.07%	0.06%	0.01%	0.01%	0.008%
16	0.06%	0.06%	0.06%	0.009%	0.01%	0.007%
15	0.06%	0.06%	0.05%	0.008%	0.009%	0.006%
14	0.05%	0.05%	0.05%	0.007%	0.008%	0.006%
13	0.04%	0.04%	0.04%	0.006%	0.007%	0.005%
12	0.04%	0.04%	0.03%	0.005%	0.006%	0.005%
11	0.03%	0.03%	0.03%	0.005%	0.006%	0.005%
10	0.03%	0.03%	0.03%	0.005%	0.006%	0.005%
9	0.03%	0.03%	0.03%	0.006%	0.006%	0.005%
8	0.04%	0.04%	0.04%	0.006%	0.007%	0.005%
7	0.05%	0.05%	0.04%	0.007%	0.007%	0.006%
6	0.06%	0.06%	0.06%	0.008%	0.008%	0.007%
5	0.07%	0.07%	0.07%	0.009%	0.009%	0.009%
4	0.07%	0.07%	0.07%	0.01%	0.01%	0.01%
3	0.08%	0.07%	0.08%	0.01%	0.01%	0.01%
2	0.1%	0.09%	0.11%	0.02%	0.01%	0.02%
1	0.28%	0.25%	0.3%	0.02%	0.01%	0.03%
0	2.09%	2.13%	2.05%	0.37%	0.39%	0.35%

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

The annual chance of dying is 2.09% in the birth year in India and 0.37% in Monaco, 0.13% vs 0.02% at age 30, 1.38% vs 0.26% at 60, and 7.58% vs 3.07% at 80.

Death rate by age in India vs Monaco

Chart Table

India

Male

Female

Monaco

Male

Female

1x

Age	Death rate
	India			Monaco
	Total	Male	Female	Total	Male	Female
100	218.3	169	269.5	2,061	1,279	2,888
99	392	313	474	2,366	1,666	3,112
98	514	412	620	2,737	2,047	3,458
97	658	529	792	3,088	2,442	3,761
96	822	665	986	3,410	2,834	4,012
95	1,003	817	1,198	3,692	3,205	4,204
94	1,201	986	1,427	3,925	3,540	4,333
93	1,413	1,171	1,668	4,101	3,824	4,393
92	1,634	1,369	1,914	4,209	4,045	4,384
91	1,855	1,573	2,156	4,255	4,200	4,311
90	2,066	1,771	2,381	4,245	4,288	4,187
89	2,261	1,961	2,585	4,188	4,314	4,027
88	2,438	2,138	2,763	4,096	4,284	3,846
87	2,594	2,300	2,913	3,958	4,205	3,654
86	2,729	2,449	3,035	3,797	4,083	3,454
85	2,845	2,584	3,132	3,611	3,925	3,245
84	2,942	2,705	3,202	3,402	3,735	3,024
83	3,017	2,809	3,246	3,174	3,516	2,787
82	3,066	2,890	3,261	2,921	3,276	2,537
81	3,085	2,943	3,245	2,665	3,024	2,281
80	3,074	2,966	3,199	2,413	2,769	2,028
79	3,035	2,958	3,127	2,173	2,523	1,789
78	2,975	2,927	3,033	1,954	2,291	1,573
77	2,900	2,879	2,925	1,753	2,079	1,381
76	2,814	2,822	2,807	1,575	1,886	1,215
75	2,724	2,761	2,686	1,418	1,713	1,072
74	2,635	2,701	2,565	1,271	1,556	948
73	2,542	2,636	2,442	1,140	1,412	840
72	2,444	2,560	2,319	1,024	1,279	744
71	2,337	2,470	2,194	914	1,154	658
70	2,221	2,364	2,069	815	1,038	580
69	2,099	2,242	1,944	725	928	509
68	1,972	2,113	1,819	639	826	444
67	1,845	1,983	1,696	561	731	385
66	1,721	1,857	1,574	491	646	334
65	1,603	1,741	1,455	431	571	289.1
64	1,494	1,635	1,341	381	506	251.9
63	1,393	1,540	1,234	338	452	221.7
62	1,301	1,452	1,137	302	407	197.5
61	1,217	1,371	1,052	272.3	370	178.2
60	1,144	1,297	980	249.4	337	162.6
59	1,078	1,226	918	228.4	307	149.4
58	1,015	1,157	863	206.5	278.4	137.5
57	952	1,085	808	185.8	249.9	126.3
56	885	1,010	751	166.8	222	115.7
55	813	928	688	148.4	195.7	105.6
54	737	844	621	132.4	171.9	96.2
53	662	762	554	117.9	151.3	87.8
52	593	688	491	105.8	133.9	80.5
51	533	624	435	95.9	119.3	74
50	484	573	388	86.1	106.8	68.2
49	446	535	350	77.9	95.8	62.9
48	415	505	318	70.8	85.7	57.9
47	389	480	290.9	63.7	76.2	53
46	366	455	267.7	57.1	67.3	48.3
45	342	429	246.9	50.9	59.2	43.9
44	317	399	227.8	45.5	51.9	39.8
43	292.6	368	210.4	40.8	45.7	36.2
42	269.3	338	194.4	36.7	40.4	33.1
41	248.3	311	180	33.3	36.1	30.5
40	230.3	288.3	167.1	30.4	32.6	28.2
39	215.5	270.6	155.3	28	29.7	26.3
38	203.1	256.6	144.7	26	27.3	24.6
37	192	244.1	135.2	24.2	25.3	23
36	181.4	231.7	126.7	22.6	23.5	21.6
35	170.6	217.9	119.1	21.2	22.1	20.3
34	159	201.8	112.2	20	20.8	19.1
33	147.3	184.8	106.2	18.9	19.7	18.1
32	136.5	168.6	101.1	18	18.7	17.1
31	127.2	154.5	97	17.2	18	16.3
30	120	143.4	94	16.6	17.4	15.7
29	115	135.7	92	16.1	17	15
28	111.8	130.7	90.9	15.7	16.8	14.5
27	109.6	127.3	90	15.4	16.8	13.9
26	107.3	124	88.9	15.3	17	13.4
25	104.3	119.9	87	15.1	17.3	12.9
24	99.8	114.1	84	15.1	17.6	12.5
23	94	106.8	80	15	17.9	11.9
22	87.7	98.7	75.6	14.8	18.1	11.4
21	81.6	90.8	71.4	14.5	17.9	10.9
20	76.1	83.7	67.7	13.9	17.4	10.2
19	71.6	77.6	64.9	13	16.3	9.55
18	67.8	72.3	62.8	11.8	14.7	8.77
17	64.1	67.3	60.6	10.4	12.8	7.94
16	59.8	61.8	57.5	9.02	10.9	7.11
15	54.3	55.5	52.9	7.74	9.1	6.34
14	47.7	48.4	46.8	6.68	7.66	5.68
13	40.5	41.1	39.9	5.91	6.64	5.17
12	34.4	35	33.7	5.42	6.01	4.83
11	30.4	31.2	29.6	5.2	5.75	4.65
10	28.4	29.4	27.4	5.23	5.78	4.66
9	30	31.4	28.5	5.5	6.09	4.88
8	36.6	38.8	34.2	5.99	6.63	5.33
7	46.5	49.5	43.2	6.73	7.36	6.09
6	57.2	60.5	53.6	7.75	8.24	7.23
5	66.6	69	63.9	9.08	9.24	8.91
4	72.2	72.2	72.3	10.8	10.3	11.3
3	73.9	69.6	78.6	13	11.5	14.6
2	100.6	90.7	111.1	15.9	12.9	19.1
1	269.3	247.9	292.1	19.6	14.3	25.2
0	2,091	2,131	2,048	368	386	350

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 91 in Monaco. The median age of death is 76.8 in India and 88.7 in Monaco, 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 Monaco more than their death rates.

Life expectancy in other countries

+ -

1x