Life Expectancy in Germany vs India (1950-2026)

Life expectancy by current age

Chart Table

Germany

Male

Female

India

Male

Female

1x

Current age, years	Total life expectancy, years
	Germany			India
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.5	102.4	102.5
99	101	100.9	101.1	101.6	101.6	101.6
98	100.2	100.1	100.2	100.7	100.7	100.8
97	99.4	99.2	99.4	99.9	99.9	99.9
96	98.6	98.4	98.6	99	99	99.1
95	97.8	97.6	97.9	98.2	98.2	98.2
94	97	96.8	97.1	97.4	97.4	97.4
93	96.3	96	96.4	96.6	96.6	96.6
92	95.6	95.3	95.7	95.8	95.8	95.9
91	94.9	94.5	95	95.1	95	95.1
90	94.2	93.9	94.4	94.3	94.2	94.4
89	93.6	93.2	93.8	93.6	93.5	93.6
88	93	92.5	93.2	92.8	92.7	92.9
87	92.4	91.9	92.7	92.1	92	92.2
86	91.9	91.3	92.2	91.5	91.3	91.6
85	91.3	90.8	91.7	90.8	90.6	90.9
84	90.9	90.3	91.3	90.1	89.9	90.3
83	90.4	89.8	90.9	89.5	89.3	89.7
82	90	89.3	90.5	88.9	88.6	89.1
81	89.6	88.8	90.2	88.3	88	88.5
80	89.2	88.4	89.8	87.7	87.4	87.9
79	88.9	88	89.6	87.1	86.8	87.4
78	88.6	87.6	89.3	86.6	86.2	86.9
77	88.2	87.3	89	86	85.7	86.3
76	88	86.9	88.8	85.5	85.1	85.9
75	87.7	86.6	88.6	85	84.6	85.4
74	87.4	86.3	88.3	84.5	84.1	85
73	87.1	85.9	88.1	84.1	83.6	84.5
72	86.9	85.6	87.9	83.6	83.1	84.1
71	86.6	85.3	87.7	83.2	82.6	83.7
70	86.3	85	87.5	82.8	82.2	83.3
69	86.1	84.7	87.3	82.4	81.7	83
68	85.9	84.4	87.2	82	81.3	82.6
67	85.6	84.2	87	81.6	80.9	82.3
66	85.4	83.9	86.8	81.3	80.5	82
65	85.2	83.7	86.7	80.9	80.2	81.7
64	85	83.4	86.5	80.6	79.8	81.4
63	84.8	83.2	86.4	80.3	79.5	81.1
62	84.6	82.9	86.2	80	79.2	80.9
61	84.5	82.7	86.1	79.8	78.9	80.6
60	84.3	82.5	86	79.5	78.6	80.4
59	84.1	82.3	85.9	79.2	78.3	80.2
58	84	82.2	85.8	79	78	80
57	83.9	82	85.7	78.7	77.8	79.7
56	83.7	81.9	85.6	78.5	77.5	79.6
55	83.6	81.7	85.5	78.3	77.3	79.4
54	83.5	81.6	85.4	78.1	77.1	79.2
53	83.4	81.5	85.3	77.9	76.8	79
52	83.3	81.4	85.3	77.8	76.7	78.9
51	83.2	81.3	85.2	77.6	76.5	78.8
50	83.2	81.2	85.1	77.5	76.3	78.6
49	83.1	81.1	85.1	77.3	76.2	78.5
48	83	81	85	77.2	76	78.4
47	83	80.9	85	77.1	75.8	78.3
46	82.9	80.9	84.9	76.9	75.7	78.2
45	82.9	80.8	84.9	76.8	75.6	78.2
44	82.8	80.7	84.9	76.7	75.4	78.1
43	82.8	80.7	84.8	76.6	75.3	78
42	82.7	80.6	84.8	76.5	75.2	77.9
41	82.7	80.6	84.8	76.4	75.1	77.9
40	82.7	80.6	84.7	76.3	75	77.8
39	82.6	80.5	84.7	76.3	74.9	77.7
38	82.6	80.5	84.7	76.2	74.8	77.7
37	82.6	80.4	84.7	76.1	74.7	77.6
36	82.5	80.4	84.6	76	74.6	77.6
35	82.5	80.4	84.6	75.9	74.5	77.5
34	82.5	80.3	84.6	75.9	74.4	77.5
33	82.5	80.3	84.6	75.8	74.3	77.4
32	82.4	80.3	84.6	75.7	74.2	77.4
31	82.4	80.3	84.6	75.7	74.2	77.3
30	82.4	80.2	84.5	75.6	74.1	77.3
29	82.4	80.2	84.5	75.6	74	77.2
28	82.4	80.2	84.5	75.5	74	77.2
27	82.3	80.2	84.5	75.5	73.9	77.1
26	82.3	80.1	84.5	75.4	73.9	77.1
25	82.3	80.1	84.5	75.4	73.8	77
24	82.3	80.1	84.5	75.3	73.7	77
23	82.3	80.1	84.5	75.3	73.7	76.9
22	82.3	80.1	84.5	75.2	73.6	76.9
21	82.2	80	84.5	75.2	73.6	76.9
20	82.2	80	84.4	75.1	73.5	76.8
19	82.2	80	84.4	75.1	73.5	76.8
18	82.2	80	84.4	75	73.4	76.7
17	82.2	80	84.4	75	73.4	76.7
16	82.2	80	84.4	75	73.4	76.7
15	82.2	79.9	84.4	74.9	73.3	76.6
14	82.2	79.9	84.4	74.9	73.3	76.6
13	82.2	79.9	84.4	74.9	73.3	76.6
12	82.2	79.9	84.4	74.9	73.3	76.6
11	82.2	79.9	84.4	74.8	73.2	76.5
10	82.1	79.9	84.4	74.8	73.2	76.5
9	82.1	79.9	84.4	74.8	73.2	76.5
8	82.1	79.9	84.4	74.8	73.2	76.5
7	82.1	79.9	84.4	74.7	73.1	76.4
6	82.1	79.9	84.4	74.7	73.1	76.4
5	82.1	79.9	84.4	74.6	73.1	76.4
4	82.1	79.9	84.4	74.6	73	76.3
3	82.1	79.9	84.3	74.5	73	76.3
2	82.1	79.9	84.3	74.5	72.9	76.2
1	82.1	79.8	84.3	74.3	72.7	75.9
0	81.9	79.6	84.1	72.7	71.2	74.4

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 Germany can expect to live to 82.4 years compared to 75.6 in India, rising to 85.2 and 80.9 at 65, and to 89.2 and 87.7 at 80 — higher than the 81.9 and 72.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Germany

Male

Female

India

Male

Female

1x

Age	Survival probability
	Germany			India
	Average	Male	Female	Average	Male	Female
100	1.57%	0.87%	2.2%	0.93%	0.75%	1.11%
99	2.44%	1.4%	3.4%	1.32%	1.06%	1.59%
98	3.66%	2.17%	5.04%	1.83%	1.47%	2.21%
97	5.28%	3.24%	7.19%	2.49%	2%	3%
96	7.35%	4.66%	9.89%	3.31%	2.67%	3.99%
95	9.89%	6.48%	13.1%	4.32%	3.48%	5.18%
94	12.9%	8.74%	16.9%	5.52%	4.47%	6.61%
93	16.4%	11.4%	21.1%	6.93%	5.64%	8.28%
92	20.2%	14.5%	25.7%	8.56%	7.01%	10.2%
91	24.3%	18%	30.6%	10.4%	8.58%	12.3%
90	28.7%	21.7%	35.6%	12.5%	10.4%	14.7%
89	33.1%	25.6%	40.5%	14.7%	12.3%	17.3%
88	37.6%	29.7%	45.4%	17.2%	14.5%	20.1%
87	42%	33.8%	50.1%	19.8%	16.8%	23%
86	46.2%	37.9%	54.5%	22.5%	19.2%	26%
85	50.3%	41.9%	58.6%	25.4%	21.8%	29.2%
84	54%	45.7%	62.4%	28.3%	24.5%	32.4%
83	57.6%	49.3%	65.8%	31.3%	27.3%	35.6%
82	60.8%	52.8%	68.9%	34.4%	30.2%	38.9%
81	63.8%	56%	71.6%	37.5%	33.1%	42.1%
80	66.5%	58.9%	74%	40.5%	36.1%	45.3%
79	68.9%	61.7%	76.2%	43.6%	39.1%	48.4%
78	71.2%	64.3%	78.1%	46.5%	42%	51.5%
77	73.2%	66.7%	79.8%	49.4%	44.9%	54.4%
76	75.1%	68.9%	81.4%	52.3%	47.7%	57.2%
75	76.9%	71%	82.8%	55%	50.4%	59.9%
74	78.5%	73%	84.1%	57.6%	53.1%	62.5%
73	80.1%	74.9%	85.4%	60.2%	55.8%	64.9%
72	81.6%	76.7%	86.5%	62.6%	58.3%	67.2%
71	83%	78.4%	87.6%	64.9%	60.8%	69.4%
70	84.3%	80%	88.6%	67.2%	63.2%	71.5%
69	85.5%	81.6%	89.5%	69.3%	65.4%	73.4%
68	86.6%	83%	90.4%	71.2%	67.5%	75.2%
67	87.7%	84.3%	91.2%	73.1%	69.5%	76.9%
66	88.7%	85.6%	91.9%	74.8%	71.4%	78.5%
65	89.6%	86.8%	92.6%	76.4%	73.1%	80%
64	90.5%	88%	93.2%	77.9%	74.7%	81.3%
63	91.3%	89%	93.8%	79.3%	76.3%	82.5%
62	92.1%	90%	94.3%	80.6%	77.7%	83.7%
61	92.8%	90.9%	94.8%	81.8%	79.1%	84.7%
60	93.4%	91.7%	95.2%	83%	80.4%	85.7%
59	94%	92.5%	95.7%	84%	81.6%	86.6%
58	94.6%	93.1%	96%	85%	82.8%	87.5%
57	95.1%	93.8%	96.4%	86%	83.9%	88.3%
56	95.5%	94.3%	96.7%	86.9%	84.9%	89%
55	95.9%	94.8%	97%	87.7%	85.8%	89.7%
54	96.3%	95.3%	97.2%	88.4%	86.7%	90.4%
53	96.6%	95.7%	97.5%	89.1%	87.4%	90.9%
52	96.9%	96.1%	97.7%	89.7%	88.1%	91.4%
51	97.1%	96.4%	97.9%	90.2%	88.7%	91.8%
50	97.3%	96.7%	98%	90.7%	89.3%	92.2%
49	97.5%	96.9%	98.2%	91.1%	89.8%	92.6%
48	97.7%	97.2%	98.3%	91.6%	90.3%	92.9%
47	97.9%	97.4%	98.5%	92%	90.8%	93.2%
46	98%	97.6%	98.6%	92.3%	91.3%	93.5%
45	98.2%	97.7%	98.7%	92.7%	91.7%	93.7%
44	98.3%	97.9%	98.8%	93%	92.1%	93.9%
43	98.4%	98%	98.8%	93.3%	92.5%	94.1%
42	98.5%	98.1%	98.9%	93.5%	92.8%	94.3%
41	98.6%	98.3%	99%	93.8%	93.1%	94.5%
40	98.7%	98.4%	99%	94%	93.4%	94.7%
39	98.8%	98.5%	99.1%	94.2%	93.7%	94.8%
38	98.8%	98.6%	99.1%	94.4%	93.9%	95%
37	98.9%	98.6%	99.2%	94.6%	94.2%	95.1%
36	99%	98.7%	99.2%	94.8%	94.4%	95.2%
35	99%	98.8%	99.3%	95%	94.6%	95.4%
34	99.1%	98.9%	99.3%	95.1%	94.8%	95.5%
33	99.1%	98.9%	99.3%	95.3%	95%	95.6%
32	99.2%	99%	99.4%	95.4%	95.2%	95.7%
31	99.2%	99%	99.4%	95.6%	95.3%	95.8%
30	99.2%	99.1%	99.4%	95.7%	95.5%	95.9%
29	99.3%	99.1%	99.4%	95.8%	95.6%	96%
28	99.3%	99.2%	99.5%	95.9%	95.8%	96.1%
27	99.3%	99.2%	99.5%	96%	95.9%	96.1%
26	99.4%	99.2%	99.5%	96.1%	96%	96.2%
25	99.4%	99.3%	99.5%	96.2%	96.1%	96.3%
24	99.4%	99.3%	99.5%	96.3%	96.2%	96.4%
23	99.4%	99.4%	99.5%	96.4%	96.3%	96.5%
22	99.5%	99.4%	99.5%	96.5%	96.4%	96.6%
21	99.5%	99.4%	99.6%	96.6%	96.5%	96.6%
20	99.5%	99.5%	99.6%	96.7%	96.6%	96.7%
19	99.5%	99.5%	99.6%	96.7%	96.7%	96.8%
18	99.6%	99.5%	99.6%	96.8%	96.8%	96.8%
17	99.6%	99.6%	99.6%	96.9%	96.8%	96.9%
16	99.6%	99.6%	99.6%	96.9%	96.9%	96.9%
15	99.6%	99.6%	99.6%	97%	97%	97%
14	99.6%	99.6%	99.7%	97%	97%	97%
13	99.6%	99.6%	99.7%	97.1%	97%	97.1%
12	99.6%	99.6%	99.7%	97.1%	97.1%	97.1%
11	99.6%	99.6%	99.7%	97.1%	97.1%	97.1%
10	99.7%	99.6%	99.7%	97.2%	97.1%	97.2%
9	99.7%	99.6%	99.7%	97.2%	97.2%	97.2%
8	99.7%	99.6%	99.7%	97.2%	97.2%	97.2%
7	99.7%	99.6%	99.7%	97.3%	97.3%	97.3%
6	99.7%	99.7%	99.7%	97.3%	97.3%	97.3%
5	99.7%	99.7%	99.7%	97.4%	97.4%	97.4%
4	99.7%	99.7%	99.7%	97.5%	97.5%	97.5%
3	99.7%	99.7%	99.7%	97.5%	97.5%	97.5%
2	99.7%	99.7%	99.7%	97.6%	97.6%	97.7%
1	99.7%	99.7%	99.8%	97.9%	97.9%	98%

This chart shows the odds of living to each age from birth. 93.4% of newborns in Germany and 83% in India are expected to live past 60, 84.3% and 67.2% past 70, 66.5% and 40.5% past 80, and only 28.7% and 12.5% past 90.

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

Odds of dying at each age

Chart Table

Germany

Male

Female

India

Male

Female

1x

Age	Probability of dying
	Germany			India
	Average	Male	Female	Average	Male	Female
100	38.4%	40.3%	37.9%	31.3%	31%	31.5%
99	35.8%	37.9%	35.2%	29.7%	29.5%	29.8%
98	33.3%	35.4%	32.6%	28%	28%	28.1%
97	30.7%	32.9%	30%	26.4%	26.4%	26.4%
96	28.2%	30.5%	27.3%	24.8%	24.9%	24.7%
95	25.7%	28.2%	24.7%	23.2%	23.4%	23.1%
94	23.3%	25.9%	22.2%	21.8%	22.1%	21.6%
93	21.1%	23.6%	20%	20.4%	20.8%	20.1%
92	19%	21.3%	17.9%	19.1%	19.5%	18.8%
91	17%	19.1%	15.9%	17.8%	18.3%	17.5%
90	15.1%	17.1%	14%	16.5%	17.1%	16.2%
89	13.4%	15.4%	12.3%	15.3%	15.9%	14.9%
88	11.9%	13.7%	10.7%	14.2%	14.8%	13.8%
87	10.5%	12.2%	9.36%	13.1%	13.7%	12.7%
86	9.19%	10.8%	8.11%	12.1%	12.8%	11.7%
85	8.04%	9.54%	6.99%	11.2%	11.9%	10.7%
84	7.01%	8.39%	6.01%	10.4%	11%	9.9%
83	6.11%	7.38%	5.17%	9.64%	10.3%	9.12%
82	5.32%	6.49%	4.45%	8.92%	9.57%	8.39%
81	4.65%	5.72%	3.83%	8.24%	8.88%	7.71%
80	4.06%	5.05%	3.29%	7.58%	8.22%	7.06%
79	3.56%	4.47%	2.82%	6.97%	7.57%	6.45%
78	3.13%	3.98%	2.44%	6.39%	6.97%	5.89%
77	2.8%	3.59%	2.14%	5.86%	6.42%	5.38%
76	2.53%	3.26%	1.92%	5.39%	5.92%	4.91%
75	2.31%	2.99%	1.74%	4.95%	5.47%	4.48%
74	2.12%	2.74%	1.59%	4.57%	5.08%	4.11%
73	1.95%	2.53%	1.45%	4.23%	4.73%	3.76%
72	1.8%	2.34%	1.34%	3.9%	4.39%	3.45%
71	1.67%	2.17%	1.23%	3.6%	4.06%	3.16%
70	1.54%	2.01%	1.12%	3.31%	3.74%	2.89%
69	1.42%	1.86%	1.02%	3.03%	3.43%	2.65%
68	1.32%	1.73%	0.94%	2.77%	3.13%	2.42%
67	1.23%	1.61%	0.86%	2.52%	2.85%	2.2%
66	1.14%	1.49%	0.79%	2.3%	2.6%	2%
65	1.05%	1.39%	0.73%	2.1%	2.38%	1.82%
64	0.98%	1.29%	0.67%	1.92%	2.19%	1.65%
63	0.9%	1.19%	0.62%	1.76%	2.02%	1.5%
62	0.82%	1.08%	0.57%	1.61%	1.87%	1.36%
61	0.75%	0.98%	0.52%	1.49%	1.73%	1.24%
60	0.69%	0.89%	0.48%	1.38%	1.61%	1.14%
59	0.62%	0.81%	0.44%	1.28%	1.5%	1.06%
58	0.57%	0.74%	0.39%	1.19%	1.4%	0.99%
57	0.51%	0.66%	0.36%	1.11%	1.29%	0.92%
56	0.46%	0.6%	0.33%	1.02%	1.19%	0.84%
55	0.42%	0.54%	0.29%	0.93%	1.08%	0.77%
54	0.37%	0.48%	0.26%	0.83%	0.97%	0.69%
53	0.33%	0.43%	0.24%	0.74%	0.87%	0.61%
52	0.29%	0.38%	0.21%	0.66%	0.78%	0.54%
51	0.26%	0.33%	0.19%	0.59%	0.7%	0.47%
50	0.24%	0.3%	0.17%	0.53%	0.64%	0.42%
49	0.21%	0.27%	0.16%	0.49%	0.6%	0.38%
48	0.19%	0.24%	0.14%	0.45%	0.56%	0.34%
47	0.17%	0.21%	0.12%	0.42%	0.53%	0.31%
46	0.15%	0.19%	0.11%	0.4%	0.5%	0.29%
45	0.14%	0.17%	0.1%	0.37%	0.47%	0.26%
44	0.12%	0.16%	0.09%	0.34%	0.43%	0.24%
43	0.11%	0.14%	0.08%	0.31%	0.4%	0.22%
42	0.1%	0.13%	0.07%	0.29%	0.36%	0.21%
41	0.09%	0.12%	0.07%	0.26%	0.33%	0.19%
40	0.09%	0.11%	0.06%	0.24%	0.31%	0.18%
39	0.08%	0.1%	0.06%	0.23%	0.29%	0.16%
38	0.07%	0.09%	0.05%	0.22%	0.27%	0.15%
37	0.07%	0.08%	0.05%	0.2%	0.26%	0.14%
36	0.06%	0.08%	0.04%	0.19%	0.25%	0.13%
35	0.06%	0.07%	0.04%	0.18%	0.23%	0.12%
34	0.05%	0.07%	0.04%	0.17%	0.21%	0.12%
33	0.05%	0.06%	0.03%	0.15%	0.19%	0.11%
32	0.05%	0.06%	0.03%	0.14%	0.18%	0.11%
31	0.04%	0.05%	0.03%	0.13%	0.16%	0.1%
30	0.04%	0.05%	0.03%	0.13%	0.15%	0.1%
29	0.04%	0.05%	0.02%	0.12%	0.14%	0.1%
28	0.03%	0.04%	0.02%	0.12%	0.14%	0.09%
27	0.03%	0.04%	0.02%	0.11%	0.13%	0.09%
26	0.03%	0.04%	0.02%	0.11%	0.13%	0.09%
25	0.03%	0.04%	0.02%	0.11%	0.12%	0.09%
24	0.03%	0.04%	0.02%	0.1%	0.12%	0.09%
23	0.03%	0.04%	0.02%	0.1%	0.11%	0.08%
22	0.03%	0.04%	0.01%	0.09%	0.1%	0.08%
21	0.03%	0.04%	0.01%	0.08%	0.09%	0.07%
20	0.03%	0.04%	0.02%	0.08%	0.09%	0.07%
19	0.03%	0.03%	0.02%	0.07%	0.08%	0.07%
18	0.02%	0.03%	0.01%	0.07%	0.07%	0.06%
17	0.02%	0.03%	0.01%	0.07%	0.07%	0.06%
16	0.02%	0.02%	0.01%	0.06%	0.06%	0.06%
15	0.01%	0.01%	0.01%	0.06%	0.06%	0.05%
14	0.009%	0.01%	0.009%	0.05%	0.05%	0.05%
13	0.008%	0.008%	0.008%	0.04%	0.04%	0.04%
12	0.007%	0.007%	0.007%	0.04%	0.04%	0.03%
11	0.006%	0.006%	0.006%	0.03%	0.03%	0.03%
10	0.006%	0.006%	0.005%	0.03%	0.03%	0.03%
9	0.006%	0.006%	0.005%	0.03%	0.03%	0.03%
8	0.006%	0.007%	0.005%	0.04%	0.04%	0.04%
7	0.006%	0.007%	0.005%	0.05%	0.05%	0.04%
6	0.007%	0.008%	0.006%	0.06%	0.06%	0.06%
5	0.008%	0.008%	0.007%	0.07%	0.07%	0.07%
4	0.008%	0.009%	0.008%	0.07%	0.07%	0.07%
3	0.009%	0.009%	0.008%	0.08%	0.07%	0.08%
2	0.01%	0.01%	0.009%	0.1%	0.09%	0.11%
1	0.03%	0.03%	0.02%	0.28%	0.25%	0.3%
0	0.26%	0.28%	0.24%	2.09%	2.13%	2.05%

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

The annual chance of dying is 0.26% in the birth year in Germany and 2.09% in India, 0.04% vs 0.13% at age 30, 0.69% vs 1.38% at 60, and 4.06% vs 7.58% at 80.

Death rate by age in Germany vs India

Chart Table

Germany

Male

Female

India

Male

Female

1x

Age	Death rate
	Germany			India
	Total	Male	Female	Total	Male	Female
100	411	149.7	645	218.3	169	269.5
99	874	530	1,197	392	313	474
98	1,217	768	1,642	514	412	620
97	1,623	1,066	2,155	658	529	792
96	2,070	1,421	2,698	822	665	986
95	2,537	1,824	3,236	1,003	817	1,198
94	3,012	2,264	3,756	1,201	986	1,427
93	3,456	2,699	4,218	1,413	1,171	1,668
92	3,843	3,091	4,602	1,634	1,369	1,914
91	4,141	3,427	4,868	1,855	1,573	2,156
90	4,341	3,710	4,988	2,066	1,771	2,381
89	4,447	3,930	4,984	2,261	1,961	2,585
88	4,458	4,061	4,878	2,438	2,138	2,763
87	4,390	4,114	4,689	2,594	2,300	2,913
86	4,248	4,095	4,424	2,729	2,449	3,035
85	4,039	3,995	4,101	2,845	2,584	3,132
84	3,788	3,836	3,753	2,942	2,705	3,202
83	3,517	3,640	3,402	3,017	2,809	3,246
82	3,238	3,424	3,062	3,066	2,890	3,261
81	2,964	3,202	2,740	3,085	2,943	3,245
80	2,702	2,979	2,436	3,074	2,966	3,199
79	2,452	2,760	2,150	3,035	2,958	3,127
78	2,230	2,560	1,904	2,975	2,927	3,033
77	2,048	2,391	1,710	2,900	2,879	2,925
76	1,900	2,250	1,561	2,814	2,822	2,807
75	1,777	2,125	1,442	2,724	2,761	2,686
74	1,662	2,004	1,335	2,635	2,701	2,565
73	1,560	1,893	1,240	2,542	2,636	2,442
72	1,471	1,797	1,157	2,444	2,560	2,319
71	1,389	1,705	1,078	2,337	2,470	2,194
70	1,300	1,607	995	2,221	2,364	2,069
69	1,217	1,514	916	2,099	2,242	1,944
68	1,142	1,432	848	1,972	2,113	1,819
67	1,075	1,357	788	1,845	1,983	1,696
66	1,007	1,280	730	1,721	1,857	1,574
65	943	1,205	676	1,603	1,741	1,455
64	884	1,135	627	1,494	1,635	1,341
63	821	1,055	579	1,393	1,540	1,234
62	757	972	534	1,301	1,452	1,137
61	699	895	495	1,217	1,371	1,052
60	642	821	457	1,144	1,297	980
59	587	753	416	1,078	1,226	918
58	535	687	378	1,015	1,157	863
57	487	623	346	952	1,085	808
56	441	563	316	885	1,010	751
55	398	508	285.7	813	928	688
54	358	456	256.9	737	844	621
53	320	407	231.5	662	762	554
52	284.9	360	208.4	593	688	491
51	254.5	320	188	533	624	435
50	229.5	287.6	170.4	484	573	388
49	207	259.3	153.8	446	535	350
48	185.3	232.3	137.5	415	505	318
47	165.7	208.4	122.3	389	480	290.9
46	149.1	188.7	108.9	366	455	267.7
45	134.2	170.5	97.3	342	429	246.9
44	120.3	152.3	87.5	317	399	227.8
43	108.4	137.1	78.7	292.6	368	210.4
42	99.4	126.7	71	269.3	338	194.4
41	91.5	117.1	64.6	248.3	311	180
40	84.2	107.7	59.5	230.3	288.3	167.1
39	76.9	97.9	54.6	215.5	270.6	155.3
38	70.3	89.5	49.8	203.1	256.6	144.7
37	64.7	83.1	44.9	192	244.1	135.2
36	59.4	77	40.6	181.4	231.7	126.7
35	55	71.1	37.8	170.6	217.9	119.1
34	51	65.8	35.2	159	201.8	112.2
33	47.6	61.9	32.2	147.3	184.8	106.2
32	44.7	58.3	30	136.5	168.6	101.1
31	42	54	28.8	127.2	154.5	97
30	38.5	49.5	26.4	120	143.4	94
29	34.9	45.3	23.4	115	135.7	92
28	32.1	42.4	20.8	111.8	130.7	90.9
27	30	40.3	18.5	109.6	127.3	90
26	28.6	39.3	16.8	107.3	124	88.9
25	27.6	38.6	15.7	104.3	119.9	87
24	26.9	37.6	15.2	99.8	114.1	84
23	26.2	36.7	15	94	106.8	80
22	25.7	36.2	14.6	87.7	98.7	75.6
21	25.6	36	14.7	81.6	90.8	71.4
20	26.1	36	15.5	76.1	83.7	67.7
19	25.3	34.6	15.4	71.6	77.6	64.9
18	22.9	30.7	14.5	67.8	72.3	62.8
17	19.5	25.1	13.6	64.1	67.3	60.6
16	15.5	18.8	12.1	59.8	61.8	57.5
15	12	13.8	10.2	54.3	55.5	52.9
14	9.35	10.1	8.53	47.7	48.4	46.8
13	7.7	7.78	7.61	40.5	41.1	39.9
12	6.7	6.53	6.87	34.4	35	33.7
11	6.08	6.17	5.99	30.4	31.2	29.6
10	5.74	6.23	5.22	28.4	29.4	27.4
9	5.49	6.23	4.71	30	31.4	28.5
8	5.54	6.48	4.56	36.6	38.8	34.2
7	5.96	6.94	4.91	46.5	49.5	43.2
6	6.74	7.49	5.95	57.2	60.5	53.6
5	7.69	8.09	7.28	66.6	69	63.9
4	8.4	8.73	8.05	72.2	72.2	72.3
3	8.73	9.26	8.17	73.9	69.6	78.6
2	10.1	11	9.22	100.6	90.7	111.1
1	27.4	29.9	24.7	269.3	247.9	292.1
0	263.3	281	244.7	2,091	2,131	2,048

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 Germany, the most common age of death is 88, compared to 81 in India. The median age of death is 85.1 in Germany and 76.8 in India, 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 Germany and India more than their death rates.

Life expectancy in other countries

+ -

1x