Life Expectancy in Comoros vs Germany (1950-2026)

Life expectancy by current age

Chart Table

Comoros

Male

Female

Germany

Male

Female

1x

Current age, years	Total life expectancy, years
	Comoros			Germany
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	101.9	101.8	101.9
99	100.9	100.8	101	101	100.9	101.1
98	100	99.9	100	100.2	100.1	100.2
97	99.1	99	99.1	99.4	99.2	99.4
96	98.2	98.1	98.3	98.6	98.4	98.6
95	97.3	97.2	97.4	97.8	97.6	97.9
94	96.5	96.3	96.5	97	96.8	97.1
93	95.6	95.5	95.7	96.3	96	96.4
92	94.8	94.6	94.8	95.6	95.3	95.7
91	93.9	93.7	94	94.9	94.5	95
90	93.1	92.9	93.2	94.2	93.9	94.4
89	92.3	92.1	92.4	93.6	93.2	93.8
88	91.5	91.3	91.6	93	92.5	93.2
87	90.7	90.5	90.9	92.4	91.9	92.7
86	89.9	89.7	90.1	91.9	91.3	92.2
85	89.2	88.9	89.4	91.3	90.8	91.7
84	88.4	88.1	88.7	90.9	90.3	91.3
83	87.7	87.4	88	90.4	89.8	90.9
82	87	86.7	87.3	90	89.3	90.5
81	86.4	86	86.6	89.6	88.8	90.2
80	85.7	85.3	86	89.2	88.4	89.8
79	85.1	84.7	85.4	88.9	88	89.6
78	84.4	84	84.8	88.6	87.6	89.3
77	83.8	83.4	84.3	88.2	87.3	89
76	83.3	82.7	83.7	88	86.9	88.8
75	82.7	82.1	83.2	87.7	86.6	88.6
74	82.2	81.6	82.7	87.4	86.3	88.3
73	81.6	81	82.2	87.1	85.9	88.1
72	81.2	80.5	81.8	86.9	85.6	87.9
71	80.7	79.9	81.3	86.6	85.3	87.7
70	80.2	79.4	80.9	86.3	85	87.5
69	79.8	79	80.6	86.1	84.7	87.3
68	79.4	78.5	80.2	85.9	84.4	87.2
67	79	78	79.9	85.6	84.2	87
66	78.6	77.6	79.5	85.4	83.9	86.8
65	78.2	77.2	79.2	85.2	83.7	86.7
64	77.9	76.8	78.9	85	83.4	86.5
63	77.5	76.4	78.6	84.8	83.2	86.4
62	77.2	76	78.4	84.6	82.9	86.2
61	76.9	75.7	78.1	84.5	82.7	86.1
60	76.6	75.4	77.9	84.3	82.5	86
59	76.3	75	77.6	84.1	82.3	85.9
58	76.1	74.7	77.4	84	82.2	85.8
57	75.8	74.4	77.2	83.9	82	85.7
56	75.6	74.2	77	83.7	81.9	85.6
55	75.3	73.9	76.8	83.6	81.7	85.5
54	75.1	73.7	76.6	83.5	81.6	85.4
53	74.9	73.4	76.4	83.4	81.5	85.3
52	74.7	73.2	76.3	83.3	81.4	85.3
51	74.5	73	76.1	83.2	81.3	85.2
50	74.3	72.8	75.9	83.2	81.2	85.1
49	74.1	72.6	75.8	83.1	81.1	85.1
48	74	72.4	75.6	83	81	85
47	73.8	72.3	75.5	83	80.9	85
46	73.7	72.1	75.4	82.9	80.9	84.9
45	73.5	71.9	75.2	82.9	80.8	84.9
44	73.4	71.8	75.1	82.8	80.7	84.9
43	73.3	71.7	75	82.8	80.7	84.8
42	73.1	71.5	74.9	82.7	80.6	84.8
41	73	71.4	74.8	82.7	80.6	84.8
40	72.9	71.3	74.7	82.7	80.6	84.7
39	72.8	71.2	74.6	82.6	80.5	84.7
38	72.7	71.1	74.5	82.6	80.5	84.7
37	72.6	71	74.4	82.6	80.4	84.7
36	72.5	70.9	74.3	82.5	80.4	84.6
35	72.4	70.8	74.2	82.5	80.4	84.6
34	72.3	70.7	74.1	82.5	80.3	84.6
33	72.3	70.6	74	82.5	80.3	84.6
32	72.2	70.5	74	82.4	80.3	84.6
31	72.1	70.4	73.9	82.4	80.3	84.6
30	72	70.3	73.8	82.4	80.2	84.5
29	71.9	70.2	73.8	82.4	80.2	84.5
28	71.9	70.1	73.7	82.4	80.2	84.5
27	71.8	70.1	73.6	82.3	80.2	84.5
26	71.7	70	73.5	82.3	80.1	84.5
25	71.6	69.9	73.5	82.3	80.1	84.5
24	71.5	69.8	73.4	82.3	80.1	84.5
23	71.4	69.7	73.4	82.3	80.1	84.5
22	71.4	69.6	73.3	82.3	80.1	84.5
21	71.3	69.5	73.2	82.2	80	84.5
20	71.2	69.4	73.2	82.2	80	84.4
19	71.1	69.3	73.1	82.2	80	84.4
18	71	69.2	73	82.2	80	84.4
17	71	69.1	73	82.2	80	84.4
16	70.9	69	72.9	82.2	80	84.4
15	70.9	69	72.9	82.2	79.9	84.4
14	70.8	68.9	72.9	82.2	79.9	84.4
13	70.8	68.9	72.8	82.2	79.9	84.4
12	70.7	68.8	72.8	82.2	79.9	84.4
11	70.7	68.8	72.7	82.2	79.9	84.4
10	70.7	68.7	72.7	82.1	79.9	84.4
9	70.6	68.7	72.7	82.1	79.9	84.4
8	70.6	68.7	72.6	82.1	79.9	84.4
7	70.5	68.6	72.6	82.1	79.9	84.4
6	70.5	68.5	72.5	82.1	79.9	84.4
5	70.4	68.5	72.5	82.1	79.9	84.4
4	70.3	68.4	72.4	82.1	79.9	84.4
3	70.2	68.2	72.2	82.1	79.9	84.3
2	70	68.1	72.1	82.1	79.9	84.3
1	69.8	67.9	71.9	82.1	79.8	84.3
0	67.5	65.4	69.7	81.9	79.6	84.1

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 Comoros can expect to live to 72 years compared to 82.4 in Germany, rising to 78.2 and 85.2 at 65, and to 85.7 and 89.2 at 80 — higher than the 67.5 and 81.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Comoros

Male

Female

Germany

Male

Female

1x

Age	Survival probability
	Comoros			Germany
	Average	Male	Female	Average	Male	Female
100	0.1%	0.05%	0.15%	1.57%	0.87%	2.2%
99	0.16%	0.08%	0.25%	2.44%	1.4%	3.4%
98	0.25%	0.14%	0.39%	3.66%	2.17%	5.04%
97	0.4%	0.23%	0.61%	5.28%	3.24%	7.19%
96	0.61%	0.35%	0.92%	7.35%	4.66%	9.89%
95	0.9%	0.54%	1.34%	9.89%	6.48%	13.1%
94	1.3%	0.8%	1.91%	12.9%	8.74%	16.9%
93	1.83%	1.15%	2.65%	16.4%	11.4%	21.1%
92	2.52%	1.62%	3.59%	20.2%	14.5%	25.7%
91	3.4%	2.24%	4.75%	24.3%	18%	30.6%
90	4.48%	3.02%	6.18%	28.7%	21.7%	35.6%
89	5.79%	3.99%	7.87%	33.1%	25.6%	40.5%
88	7.35%	5.18%	9.84%	37.6%	29.7%	45.4%
87	9.16%	6.59%	12.1%	42%	33.8%	50.1%
86	11.2%	8.23%	14.6%	46.2%	37.9%	54.5%
85	13.5%	10.1%	17.4%	50.3%	41.9%	58.6%
84	16.1%	12.2%	20.4%	54%	45.7%	62.4%
83	18.8%	14.5%	23.5%	57.6%	49.3%	65.8%
82	21.6%	16.9%	26.8%	60.8%	52.8%	68.9%
81	24.6%	19.5%	30.2%	63.8%	56%	71.6%
80	27.7%	22.3%	33.7%	66.5%	58.9%	74%
79	30.9%	25.2%	37.1%	68.9%	61.7%	76.2%
78	34.1%	28.2%	40.6%	71.2%	64.3%	78.1%
77	37.3%	31.2%	44%	73.2%	66.7%	79.8%
76	40.6%	34.3%	47.3%	75.1%	68.9%	81.4%
75	43.7%	37.4%	50.5%	76.9%	71%	82.8%
74	46.8%	40.5%	53.6%	78.5%	73%	84.1%
73	49.7%	43.5%	56.5%	80.1%	74.9%	85.4%
72	52.6%	46.4%	59.2%	81.6%	76.7%	86.5%
71	55.3%	49.3%	61.8%	83%	78.4%	87.6%
70	57.9%	52.1%	64.2%	84.3%	80%	88.6%
69	60.3%	54.7%	66.4%	85.5%	81.6%	89.5%
68	62.6%	57.3%	68.4%	86.6%	83%	90.4%
67	64.8%	59.8%	70.3%	87.7%	84.3%	91.2%
66	66.9%	62.1%	72.1%	88.7%	85.6%	91.9%
65	68.8%	64.3%	73.7%	89.6%	86.8%	92.6%
64	70.6%	66.4%	75.3%	90.5%	88%	93.2%
63	72.3%	68.4%	76.7%	91.3%	89%	93.8%
62	73.9%	70.2%	78%	92.1%	90%	94.3%
61	75.4%	72%	79.2%	92.8%	90.9%	94.8%
60	76.8%	73.6%	80.3%	93.4%	91.7%	95.2%
59	78.1%	75.1%	81.3%	94%	92.5%	95.7%
58	79.3%	76.5%	82.3%	94.6%	93.1%	96%
57	80.4%	77.8%	83.1%	95.1%	93.8%	96.4%
56	81.4%	79%	84%	95.5%	94.3%	96.7%
55	82.4%	80.1%	84.7%	95.9%	94.8%	97%
54	83.2%	81.2%	85.5%	96.3%	95.3%	97.2%
53	84.1%	82.1%	86.1%	96.6%	95.7%	97.5%
52	84.8%	83%	86.8%	96.9%	96.1%	97.7%
51	85.5%	83.8%	87.3%	97.1%	96.4%	97.9%
50	86.2%	84.6%	87.9%	97.3%	96.7%	98%
49	86.8%	85.3%	88.4%	97.5%	96.9%	98.2%
48	87.4%	85.9%	88.9%	97.7%	97.2%	98.3%
47	87.9%	86.5%	89.3%	97.9%	97.4%	98.5%
46	88.4%	87%	89.7%	98%	97.6%	98.6%
45	88.8%	87.5%	90.1%	98.2%	97.7%	98.7%
44	89.2%	88%	90.5%	98.3%	97.9%	98.8%
43	89.6%	88.4%	90.8%	98.4%	98%	98.8%
42	90%	88.8%	91.1%	98.5%	98.1%	98.9%
41	90.3%	89.2%	91.4%	98.6%	98.3%	99%
40	90.6%	89.5%	91.7%	98.7%	98.4%	99%
39	90.9%	89.8%	92%	98.8%	98.5%	99.1%
38	91.2%	90.1%	92.2%	98.8%	98.6%	99.1%
37	91.4%	90.4%	92.4%	98.9%	98.6%	99.2%
36	91.6%	90.7%	92.7%	99%	98.7%	99.2%
35	91.9%	90.9%	92.9%	99%	98.8%	99.3%
34	92.1%	91.1%	93.1%	99.1%	98.9%	99.3%
33	92.3%	91.4%	93.2%	99.1%	98.9%	99.3%
32	92.5%	91.6%	93.4%	99.2%	99%	99.4%
31	92.7%	91.8%	93.6%	99.2%	99%	99.4%
30	92.8%	92%	93.7%	99.2%	99.1%	99.4%
29	93%	92.2%	93.9%	99.3%	99.1%	99.4%
28	93.2%	92.4%	94%	99.3%	99.2%	99.5%
27	93.4%	92.6%	94.2%	99.3%	99.2%	99.5%
26	93.5%	92.8%	94.3%	99.4%	99.2%	99.5%
25	93.7%	93%	94.4%	99.4%	99.3%	99.5%
24	93.8%	93.2%	94.5%	99.4%	99.3%	99.5%
23	94%	93.4%	94.7%	99.4%	99.4%	99.5%
22	94.2%	93.6%	94.8%	99.5%	99.4%	99.5%
21	94.3%	93.8%	94.9%	99.5%	99.4%	99.6%
20	94.5%	94%	95%	99.5%	99.5%	99.6%
19	94.6%	94.2%	95.1%	99.5%	99.5%	99.6%
18	94.8%	94.3%	95.2%	99.6%	99.5%	99.6%
17	94.9%	94.5%	95.3%	99.6%	99.6%	99.6%
16	95%	94.6%	95.4%	99.6%	99.6%	99.6%
15	95.1%	94.7%	95.5%	99.6%	99.6%	99.6%
14	95.2%	94.8%	95.6%	99.6%	99.6%	99.7%
13	95.3%	94.9%	95.6%	99.6%	99.6%	99.7%
12	95.3%	95%	95.7%	99.6%	99.6%	99.7%
11	95.4%	95%	95.7%	99.6%	99.6%	99.7%
10	95.4%	95.1%	95.8%	99.7%	99.6%	99.7%
9	95.5%	95.1%	95.8%	99.7%	99.6%	99.7%
8	95.6%	95.2%	95.9%	99.7%	99.6%	99.7%
7	95.6%	95.3%	96%	99.7%	99.6%	99.7%
6	95.7%	95.4%	96%	99.7%	99.7%	99.7%
5	95.8%	95.5%	96.1%	99.7%	99.7%	99.7%
4	96%	95.7%	96.3%	99.7%	99.7%	99.7%
3	96.1%	95.8%	96.4%	99.7%	99.7%	99.7%
2	96.4%	96.1%	96.7%	99.7%	99.7%	99.7%
1	96.7%	96.4%	97%	99.7%	99.7%	99.8%

This chart shows the odds of living to each age from birth. 76.8% of newborns in Comoros and 93.4% in Germany are expected to live past 60, 57.9% and 84.3% past 70, 27.7% and 66.5% past 80, and only 4.48% and 28.7% past 90.

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

Odds of dying at each age

Chart Table

Comoros

Male

Female

Germany

Male

Female

1x

Age	Probability of dying
	Comoros			Germany
	Average	Male	Female	Average	Male	Female
100	41.5%	42.9%	40.8%	38.4%	40.3%	37.9%
99	39.7%	41.1%	38.9%	35.8%	37.9%	35.2%
98	38%	39.5%	37.2%	33.3%	35.4%	32.6%
97	36.2%	37.8%	35.4%	30.7%	32.9%	30%
96	34.4%	36.1%	33.5%	28.2%	30.5%	27.3%
95	32.6%	34.3%	31.6%	25.7%	28.2%	24.7%
94	30.7%	32.5%	29.8%	23.3%	25.9%	22.2%
93	29%	30.8%	28%	21.1%	23.6%	20%
92	27.3%	29.1%	26.2%	19%	21.3%	17.9%
91	25.7%	27.5%	24.6%	17%	19.1%	15.9%
90	24.2%	25.9%	23%	15.1%	17.1%	14%
89	22.7%	24.4%	21.5%	13.4%	15.4%	12.3%
88	21.2%	22.9%	20.1%	11.9%	13.7%	10.7%
87	19.8%	21.4%	18.6%	10.5%	12.2%	9.36%
86	18.4%	19.9%	17.3%	9.19%	10.8%	8.11%
85	17%	18.5%	15.9%	8.04%	9.54%	6.99%
84	15.7%	17.1%	14.6%	7.01%	8.39%	6.01%
83	14.4%	15.8%	13.4%	6.11%	7.38%	5.17%
82	13.3%	14.5%	12.3%	5.32%	6.49%	4.45%
81	12.2%	13.4%	11.2%	4.65%	5.72%	3.83%
80	11.2%	12.4%	10.2%	4.06%	5.05%	3.29%
79	10.3%	11.5%	9.34%	3.56%	4.47%	2.82%
78	9.43%	10.6%	8.51%	3.13%	3.98%	2.44%
77	8.64%	9.77%	7.73%	2.8%	3.59%	2.14%
76	7.9%	8.99%	7.01%	2.53%	3.26%	1.92%
75	7.21%	8.26%	6.35%	2.31%	2.99%	1.74%
74	6.56%	7.57%	5.72%	2.12%	2.74%	1.59%
73	5.96%	6.94%	5.15%	1.95%	2.53%	1.45%
72	5.41%	6.35%	4.63%	1.8%	2.34%	1.34%
71	4.91%	5.81%	4.15%	1.67%	2.17%	1.23%
70	4.46%	5.32%	3.72%	1.54%	2.01%	1.12%
69	4.06%	4.88%	3.34%	1.42%	1.86%	1.02%
68	3.69%	4.47%	3%	1.32%	1.73%	0.94%
67	3.37%	4.1%	2.71%	1.23%	1.61%	0.86%
66	3.08%	3.76%	2.45%	1.14%	1.49%	0.79%
65	2.82%	3.45%	2.22%	1.05%	1.39%	0.73%
64	2.58%	3.16%	2.02%	0.98%	1.29%	0.67%
63	2.36%	2.89%	1.84%	0.9%	1.19%	0.62%
62	2.15%	2.64%	1.67%	0.82%	1.08%	0.57%
61	1.97%	2.41%	1.52%	0.75%	0.98%	0.52%
60	1.8%	2.2%	1.39%	0.69%	0.89%	0.48%
59	1.64%	2.01%	1.26%	0.62%	0.81%	0.44%
58	1.5%	1.83%	1.16%	0.57%	0.74%	0.39%
57	1.38%	1.67%	1.06%	0.51%	0.66%	0.36%
56	1.26%	1.52%	0.98%	0.46%	0.6%	0.33%
55	1.16%	1.39%	0.91%	0.42%	0.54%	0.29%
54	1.07%	1.27%	0.84%	0.37%	0.48%	0.26%
53	0.98%	1.16%	0.78%	0.33%	0.43%	0.24%
52	0.9%	1.07%	0.72%	0.29%	0.38%	0.21%
51	0.83%	0.97%	0.67%	0.26%	0.33%	0.19%
50	0.76%	0.89%	0.62%	0.24%	0.3%	0.17%
49	0.7%	0.81%	0.58%	0.21%	0.27%	0.16%
48	0.64%	0.74%	0.54%	0.19%	0.24%	0.14%
47	0.59%	0.68%	0.5%	0.17%	0.21%	0.12%
46	0.54%	0.62%	0.46%	0.15%	0.19%	0.11%
45	0.5%	0.57%	0.43%	0.14%	0.17%	0.1%
44	0.46%	0.52%	0.4%	0.12%	0.16%	0.09%
43	0.43%	0.48%	0.37%	0.11%	0.14%	0.08%
42	0.39%	0.44%	0.35%	0.1%	0.13%	0.07%
41	0.37%	0.41%	0.32%	0.09%	0.12%	0.07%
40	0.34%	0.38%	0.3%	0.09%	0.11%	0.06%
39	0.32%	0.35%	0.28%	0.08%	0.1%	0.06%
38	0.3%	0.33%	0.27%	0.07%	0.09%	0.05%
37	0.28%	0.31%	0.25%	0.07%	0.08%	0.05%
36	0.26%	0.29%	0.23%	0.06%	0.08%	0.04%
35	0.25%	0.27%	0.22%	0.06%	0.07%	0.04%
34	0.23%	0.26%	0.21%	0.05%	0.07%	0.04%
33	0.22%	0.25%	0.19%	0.05%	0.06%	0.03%
32	0.21%	0.24%	0.18%	0.05%	0.06%	0.03%
31	0.2%	0.23%	0.18%	0.04%	0.05%	0.03%
30	0.19%	0.22%	0.17%	0.04%	0.05%	0.03%
29	0.19%	0.21%	0.16%	0.04%	0.05%	0.02%
28	0.18%	0.21%	0.15%	0.03%	0.04%	0.02%
27	0.18%	0.21%	0.15%	0.03%	0.04%	0.02%
26	0.18%	0.21%	0.14%	0.03%	0.04%	0.02%
25	0.17%	0.21%	0.13%	0.03%	0.04%	0.02%
24	0.17%	0.21%	0.13%	0.03%	0.04%	0.02%
23	0.17%	0.22%	0.13%	0.03%	0.04%	0.02%
22	0.17%	0.22%	0.12%	0.03%	0.04%	0.01%
21	0.17%	0.22%	0.12%	0.03%	0.04%	0.01%
20	0.17%	0.21%	0.12%	0.03%	0.04%	0.02%
19	0.16%	0.2%	0.12%	0.03%	0.03%	0.02%
18	0.15%	0.18%	0.11%	0.02%	0.03%	0.01%
17	0.13%	0.16%	0.1%	0.02%	0.03%	0.01%
16	0.11%	0.13%	0.09%	0.02%	0.02%	0.01%
15	0.1%	0.11%	0.08%	0.01%	0.01%	0.01%
14	0.08%	0.09%	0.07%	0.009%	0.01%	0.009%
13	0.07%	0.08%	0.06%	0.008%	0.008%	0.008%
12	0.06%	0.07%	0.06%	0.007%	0.007%	0.007%
11	0.06%	0.07%	0.06%	0.006%	0.006%	0.006%
10	0.06%	0.06%	0.05%	0.006%	0.006%	0.005%
9	0.06%	0.07%	0.06%	0.006%	0.006%	0.005%
8	0.07%	0.07%	0.06%	0.006%	0.007%	0.005%
7	0.08%	0.09%	0.07%	0.006%	0.007%	0.005%
6	0.09%	0.1%	0.09%	0.007%	0.008%	0.006%
5	0.12%	0.12%	0.11%	0.008%	0.008%	0.007%
4	0.14%	0.15%	0.14%	0.008%	0.009%	0.008%
3	0.18%	0.19%	0.18%	0.009%	0.009%	0.008%
2	0.24%	0.24%	0.23%	0.01%	0.01%	0.009%
1	0.31%	0.31%	0.31%	0.03%	0.03%	0.02%
0	3.33%	3.62%	3.03%	0.26%	0.28%	0.24%

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

The annual chance of dying is 3.33% in the birth year in Comoros and 0.26% in Germany, 0.19% vs 0.04% at age 30, 1.8% vs 0.69% at 60, and 11.2% vs 4.06% at 80.

Death rate by age in Comoros vs Germany

Chart Table

Comoros

Male

Female

Germany

Male

Female

1x

Age	Death rate
	Comoros			Germany
	Total	Male	Female	Total	Male	Female
100	0	0	0	411	149.7	645
99	62.7	34.9	96.2	874	530	1,197
98	96.7	55.5	146.3	1,217	768	1,642
97	144.4	85.4	215.2	1,623	1,066	2,155
96	209.1	127.4	307	2,070	1,421	2,698
95	293.5	184.3	423	2,537	1,824	3,236
94	400	259	567	3,012	2,264	3,756
93	532	354	740	3,456	2,699	4,218
92	689	472	940	3,843	3,091	4,602
91	873	614	1,168	4,141	3,427	4,868
90	1,082	782	1,420	4,341	3,710	4,988
89	1,313	974	1,692	4,447	3,930	4,984
88	1,560	1,186	1,973	4,458	4,061	4,878
87	1,814	1,411	2,255	4,390	4,114	4,689
86	2,065	1,641	2,523	4,248	4,095	4,424
85	2,304	1,867	2,768	4,039	3,995	4,101
84	2,519	2,081	2,981	3,788	3,836	3,753
83	2,707	2,279	3,156	3,517	3,640	3,402
82	2,867	2,460	3,292	3,238	3,424	3,062
81	2,998	2,623	3,389	2,964	3,202	2,740
80	3,101	2,766	3,447	2,702	2,979	2,436
79	3,175	2,888	3,468	2,452	2,760	2,150
78	3,219	2,983	3,452	2,230	2,560	1,904
77	3,229	3,050	3,401	2,048	2,391	1,710
76	3,205	3,085	3,317	1,900	2,250	1,561
75	3,150	3,090	3,204	1,777	2,125	1,442
74	3,068	3,065	3,066	1,662	2,004	1,335
73	2,964	3,017	2,909	1,560	1,893	1,240
72	2,845	2,949	2,740	1,471	1,797	1,157
71	2,716	2,866	2,563	1,389	1,705	1,078
70	2,582	2,773	2,387	1,300	1,607	995
69	2,446	2,670	2,216	1,217	1,514	916
68	2,314	2,562	2,055	1,142	1,432	848
67	2,185	2,450	1,905	1,075	1,357	788
66	2,060	2,335	1,767	1,007	1,280	730
65	1,939	2,217	1,640	943	1,205	676
64	1,820	2,097	1,521	884	1,135	627
63	1,704	1,976	1,409	821	1,055	579
62	1,591	1,856	1,304	757	972	534
61	1,483	1,736	1,205	699	895	495
60	1,379	1,620	1,112	642	821	457
59	1,281	1,507	1,027	587	753	416
58	1,190	1,400	951	535	687	378
57	1,106	1,299	882	487	623	346
56	1,027	1,204	821	441	563	316
55	955	1,116	767	398	508	285.7
54	887	1,034	718	358	456	256.9
53	824	956	672	320	407	231.5
52	765	884	629	284.9	360	208.4
51	709	816	588	254.5	320	188
50	656	753	549	229.5	287.6	170.4
49	606	694	511	207	259.3	153.8
48	560	639	476	185.3	232.3	137.5
47	518	587	443	165.7	208.4	122.3
46	479	541	413	149.1	188.7	108.9
45	443	498	385	134.2	170.5	97.3
44	411	459	359	120.3	152.3	87.5
43	382	424	336	108.4	137.1	78.7
42	355	393	315	99.4	126.7	71
41	331	365	295.6	91.5	117.1	64.6
40	310	340	277.8	84.2	107.7	59.5
39	289.9	318	261.2	76.9	97.9	54.6
38	271.8	298.1	245.5	70.3	89.5	49.8
37	255.2	280.1	230.7	64.7	83.1	44.9
36	239.9	263.9	216.8	59.4	77	40.6
35	226	249.4	203.8	55	71.1	37.8
34	213.6	236.6	191.9	51	65.8	35.2
33	202.7	225.4	181.3	47.6	61.9	32.2
32	193.3	216	172	44.7	58.3	30
31	185.4	208.2	163.8	42	54	28.8
30	178.9	202.2	156.6	38.5	49.5	26.4
29	173.7	197.9	149.9	34.9	45.3	23.4
28	169.5	195.4	143.7	32.1	42.4	20.8
27	166.3	194.4	137.7	30	40.3	18.5
26	164	195	132.1	28.6	39.3	16.8
25	162.7	196.8	127	27.6	38.6	15.7
24	162.1	199.4	122.8	26.9	37.6	15.2
23	162.1	202.2	119.7	26.2	36.7	15
22	162	204	117.4	25.7	36.2	14.6
21	161	203.6	115.7	25.6	36	14.7
20	157.5	198.8	113.6	26.1	36	15.5
19	150.4	188.3	110.2	25.3	34.6	15.4
18	139.2	171.8	104.6	22.9	30.7	14.5
17	124.3	150.5	96.7	19.5	25.1	13.6
16	107.8	127.6	87.1	15.5	18.8	12.1
15	91.8	106	77.1	12	13.8	10.2
14	78.2	88.2	67.9	9.35	10.1	8.53
13	67.9	75	60.5	7.7	7.78	7.61
12	61	66.5	55.4	6.7	6.53	6.87
11	57.5	62.1	52.7	6.08	6.17	5.99
10	57	61.4	52.4	5.74	6.23	5.22
9	59.5	64.3	54.7	5.49	6.23	4.71
8	65.4	70.7	59.9	5.54	6.48	4.56
7	75.1	81.2	68.8	5.96	6.94	4.91
6	89.6	96.6	82.4	6.74	7.49	5.95
5	110.2	117.9	102.3	7.69	8.09	7.28
4	138.8	146.7	130.7	8.4	8.73	8.05
3	177.9	185.1	170.4	8.73	9.26	8.17
2	230.3	235.4	225.1	10.1	11	9.22
1	300	301	299.3	27.4	29.9	24.7
0	3,328	3,618	3,032	263.3	281	244.7

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 Comoros, the most common age of death is 0, compared to 88 in Germany. The median age of death is 72.9 in Comoros and 85.1 in Germany, 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 Comoros and Germany more than their death rates.

Life expectancy in other countries

+ -

1x