Life Expectancy in Comoros vs Kenya (1950-2026)

Life expectancy by current age

Chart Table

Comoros

Male

Female

Kenya

Male

Female

1x

Current age, years	Total life expectancy, years
	Comoros			Kenya
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.2	102	102.2
99	100.9	100.8	101	101.3	101.1	101.4
98	100	99.9	100	100.4	100.2	100.5
97	99.1	99	99.1	99.5	99.4	99.6
96	98.2	98.1	98.3	98.7	98.5	98.8
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	96.2	95.9	96.3
92	94.8	94.6	94.8	95.4	95.1	95.5
91	93.9	93.7	94	94.6	94.3	94.7
90	93.1	92.9	93.2	93.8	93.5	94
89	92.3	92.1	92.4	93	92.7	93.2
88	91.5	91.3	91.6	92.3	91.9	92.5
87	90.7	90.5	90.9	91.6	91.1	91.8
86	89.9	89.7	90.1	90.8	90.4	91.1
85	89.2	88.9	89.4	90.1	89.7	90.4
84	88.4	88.1	88.7	89.5	89	89.7
83	87.7	87.4	88	88.8	88.3	89.1
82	87	86.7	87.3	88.2	87.6	88.5
81	86.4	86	86.6	87.6	87	87.9
80	85.7	85.3	86	87	86.3	87.4
79	85.1	84.7	85.4	86.4	85.7	86.8
78	84.4	84	84.8	85.8	85.1	86.3
77	83.8	83.4	84.3	85.2	84.5	85.7
76	83.3	82.7	83.7	84.6	83.9	85.2
75	82.7	82.1	83.2	84.1	83.3	84.7
74	82.2	81.6	82.7	83.6	82.8	84.2
73	81.6	81	82.2	83	82.2	83.7
72	81.2	80.5	81.8	82.5	81.6	83.2
71	80.7	79.9	81.3	82	81.1	82.7
70	80.2	79.4	80.9	81.5	80.5	82.2
69	79.8	79	80.6	81	80	81.8
68	79.4	78.5	80.2	80.5	79.5	81.3
67	79	78	79.9	80	79	80.9
66	78.6	77.6	79.5	79.5	78.5	80.5
65	78.2	77.2	79.2	79.1	78	80
64	77.9	76.8	78.9	78.6	77.5	79.6
63	77.5	76.4	78.6	78.2	77	79.2
62	77.2	76	78.4	77.8	76.5	78.9
61	76.9	75.7	78.1	77.4	76.1	78.5
60	76.6	75.4	77.9	77	75.6	78.2
59	76.3	75	77.6	76.6	75.2	77.8
58	76.1	74.7	77.4	76.2	74.8	77.5
57	75.8	74.4	77.2	75.8	74.4	77.2
56	75.6	74.2	77	75.5	74	76.9
55	75.3	73.9	76.8	75.1	73.7	76.6
54	75.1	73.7	76.6	74.8	73.3	76.3
53	74.9	73.4	76.4	74.5	72.9	76
52	74.7	73.2	76.3	74.1	72.6	75.7
51	74.5	73	76.1	73.8	72.2	75.4
50	74.3	72.8	75.9	73.5	71.9	75.1
49	74.1	72.6	75.8	73.2	71.6	74.9
48	74	72.4	75.6	72.9	71.2	74.6
47	73.8	72.3	75.5	72.6	70.9	74.4
46	73.7	72.1	75.4	72.4	70.6	74.1
45	73.5	71.9	75.2	72.1	70.3	73.9
44	73.4	71.8	75.1	71.8	70.1	73.6
43	73.3	71.7	75	71.6	69.8	73.4
42	73.1	71.5	74.9	71.3	69.5	73.2
41	73	71.4	74.8	71.1	69.2	73
40	72.9	71.3	74.7	70.8	69	72.8
39	72.8	71.2	74.6	70.6	68.7	72.5
38	72.7	71.1	74.5	70.4	68.5	72.3
37	72.6	71	74.4	70.2	68.3	72.1
36	72.5	70.9	74.3	70	68.1	71.9
35	72.4	70.8	74.2	69.8	67.8	71.8
34	72.3	70.7	74.1	69.6	67.6	71.6
33	72.3	70.6	74	69.4	67.5	71.4
32	72.2	70.5	74	69.2	67.3	71.2
31	72.1	70.4	73.9	69.1	67.1	71.1
30	72	70.3	73.8	68.9	66.9	70.9
29	71.9	70.2	73.8	68.7	66.7	70.8
28	71.9	70.1	73.7	68.6	66.6	70.6
27	71.8	70.1	73.6	68.4	66.4	70.5
26	71.7	70	73.5	68.3	66.3	70.4
25	71.6	69.9	73.5	68.2	66.1	70.3
24	71.5	69.8	73.4	68	66	70.1
23	71.4	69.7	73.4	67.9	65.9	70
22	71.4	69.6	73.3	67.8	65.8	69.9
21	71.3	69.5	73.2	67.7	65.6	69.8
20	71.2	69.4	73.2	67.6	65.5	69.8
19	71.1	69.3	73.1	67.5	65.4	69.7
18	71	69.2	73	67.4	65.3	69.6
17	71	69.1	73	67.4	65.3	69.5
16	70.9	69	72.9	67.3	65.2	69.5
15	70.9	69	72.9	67.2	65.1	69.4
14	70.8	68.9	72.9	67.2	65.1	69.4
13	70.8	68.9	72.8	67.1	65	69.3
12	70.7	68.8	72.8	67.1	65	69.3
11	70.7	68.8	72.7	67.1	65	69.3
10	70.7	68.7	72.7	67	64.9	69.2
9	70.6	68.7	72.7	67	64.9	69.2
8	70.6	68.7	72.6	66.9	64.8	69.1
7	70.5	68.6	72.6	66.9	64.8	69.1
6	70.5	68.5	72.5	66.8	64.7	69
5	70.4	68.5	72.5	66.8	64.7	69
4	70.3	68.4	72.4	66.7	64.6	68.9
3	70.2	68.2	72.2	66.5	64.4	68.7
2	70	68.1	72.1	66.3	64.3	68.5
1	69.8	67.9	71.9	66	64	68.2
0	67.5	65.4	69.7	64.2	62	66.5

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 68.9 in Kenya, rising to 78.2 and 79.1 at 65, and to 85.7 and 87 at 80 — higher than the 67.5 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Comoros

Male

Female

Kenya

Male

Female

1x

Age	Survival probability
	Comoros			Kenya
	Average	Male	Female	Average	Male	Female
100	0.1%	0.05%	0.15%	0.32%	0.15%	0.49%
99	0.16%	0.08%	0.25%	0.48%	0.24%	0.72%
98	0.25%	0.14%	0.39%	0.69%	0.36%	1.03%
97	0.4%	0.23%	0.61%	0.99%	0.53%	1.45%
96	0.61%	0.35%	0.92%	1.38%	0.76%	2%
95	0.9%	0.54%	1.34%	1.89%	1.07%	2.69%
94	1.3%	0.8%	1.91%	2.52%	1.48%	3.54%
93	1.83%	1.15%	2.65%	3.29%	1.99%	4.57%
92	2.52%	1.62%	3.59%	4.21%	2.63%	5.77%
91	3.4%	2.24%	4.75%	5.28%	3.39%	7.15%
90	4.48%	3.02%	6.18%	6.54%	4.31%	8.75%
89	5.79%	3.99%	7.87%	7.94%	5.38%	10.5%
88	7.35%	5.18%	9.84%	9.51%	6.6%	12.4%
87	9.16%	6.59%	12.1%	11.2%	7.98%	14.5%
86	11.2%	8.23%	14.6%	13.1%	9.5%	16.7%
85	13.5%	10.1%	17.4%	15%	11.2%	19.1%
84	16.1%	12.2%	20.4%	17.1%	12.9%	21.5%
83	18.8%	14.5%	23.5%	19.2%	14.8%	23.9%
82	21.6%	16.9%	26.8%	21.4%	16.7%	26.3%
81	24.6%	19.5%	30.2%	23.5%	18.7%	28.6%
80	27.7%	22.3%	33.7%	25.7%	20.7%	31%
79	30.9%	25.2%	37.1%	27.9%	22.8%	33.3%
78	34.1%	28.2%	40.6%	30.1%	24.9%	35.7%
77	37.3%	31.2%	44%	32.4%	27.1%	38%
76	40.6%	34.3%	47.3%	34.6%	29.2%	40.3%
75	43.7%	37.4%	50.5%	36.9%	31.4%	42.6%
74	46.8%	40.5%	53.6%	39.1%	33.6%	44.8%
73	49.7%	43.5%	56.5%	41.3%	35.8%	47%
72	52.6%	46.4%	59.2%	43.4%	37.9%	49.2%
71	55.3%	49.3%	61.8%	45.5%	40.1%	51.3%
70	57.9%	52.1%	64.2%	47.6%	42.2%	53.3%
69	60.3%	54.7%	66.4%	49.7%	44.4%	55.3%
68	62.6%	57.3%	68.4%	51.7%	46.5%	57.2%
67	64.8%	59.8%	70.3%	53.7%	48.5%	59.1%
66	66.9%	62.1%	72.1%	55.6%	50.6%	60.9%
65	68.8%	64.3%	73.7%	57.5%	52.7%	62.7%
64	70.6%	66.4%	75.3%	59.4%	54.7%	64.4%
63	72.3%	68.4%	76.7%	61.1%	56.6%	66%
62	73.9%	70.2%	78%	62.8%	58.5%	67.5%
61	75.4%	72%	79.2%	64.5%	60.3%	68.9%
60	76.8%	73.6%	80.3%	66%	62%	70.3%
59	78.1%	75.1%	81.3%	67.5%	63.7%	71.6%
58	79.3%	76.5%	82.3%	68.9%	65.2%	72.8%
57	80.4%	77.8%	83.1%	70.3%	66.8%	74%
56	81.4%	79%	84%	71.6%	68.2%	75.1%
55	82.4%	80.1%	84.7%	72.8%	69.7%	76.2%
54	83.2%	81.2%	85.5%	74.1%	71%	77.2%
53	84.1%	82.1%	86.1%	75.2%	72.4%	78.2%
52	84.8%	83%	86.8%	76.4%	73.6%	79.2%
51	85.5%	83.8%	87.3%	77.4%	74.9%	80.1%
50	86.2%	84.6%	87.9%	78.5%	76.1%	81%
49	86.8%	85.3%	88.4%	79.5%	77.2%	81.9%
48	87.4%	85.9%	88.9%	80.4%	78.3%	82.7%
47	87.9%	86.5%	89.3%	81.4%	79.3%	83.5%
46	88.4%	87%	89.7%	82.2%	80.3%	84.2%
45	88.8%	87.5%	90.1%	83.1%	81.2%	84.9%
44	89.2%	88%	90.5%	83.9%	82.1%	85.6%
43	89.6%	88.4%	90.8%	84.6%	83%	86.2%
42	90%	88.8%	91.1%	85.3%	83.8%	86.9%
41	90.3%	89.2%	91.4%	86%	84.6%	87.5%
40	90.6%	89.5%	91.7%	86.7%	85.4%	88.1%
39	90.9%	89.8%	92%	87.4%	86.1%	88.6%
38	91.2%	90.1%	92.2%	88%	86.8%	89.1%
37	91.4%	90.4%	92.4%	88.5%	87.4%	89.7%
36	91.6%	90.7%	92.7%	89.1%	88%	90.1%
35	91.9%	90.9%	92.9%	89.6%	88.6%	90.6%
34	92.1%	91.1%	93.1%	90.1%	89.2%	91%
33	92.3%	91.4%	93.2%	90.6%	89.7%	91.5%
32	92.5%	91.6%	93.4%	91%	90.1%	91.9%
31	92.7%	91.8%	93.6%	91.4%	90.6%	92.2%
30	92.8%	92%	93.7%	91.8%	91%	92.6%
29	93%	92.2%	93.9%	92.2%	91.4%	92.9%
28	93.2%	92.4%	94%	92.5%	91.8%	93.2%
27	93.4%	92.6%	94.2%	92.8%	92.2%	93.5%
26	93.5%	92.8%	94.3%	93.1%	92.5%	93.8%
25	93.7%	93%	94.4%	93.4%	92.8%	94%
24	93.8%	93.2%	94.5%	93.7%	93.1%	94.3%
23	94%	93.4%	94.7%	94%	93.4%	94.5%
22	94.2%	93.6%	94.8%	94.2%	93.7%	94.7%
21	94.3%	93.8%	94.9%	94.4%	93.9%	94.9%
20	94.5%	94%	95%	94.6%	94.2%	95%
19	94.6%	94.2%	95.1%	94.8%	94.4%	95.2%
18	94.8%	94.3%	95.2%	94.9%	94.6%	95.3%
17	94.9%	94.5%	95.3%	95.1%	94.7%	95.5%
16	95%	94.6%	95.4%	95.2%	94.8%	95.6%
15	95.1%	94.7%	95.5%	95.3%	95%	95.7%
14	95.2%	94.8%	95.6%	95.4%	95%	95.7%
13	95.3%	94.9%	95.6%	95.5%	95.1%	95.8%
12	95.3%	95%	95.7%	95.5%	95.2%	95.9%
11	95.4%	95%	95.7%	95.6%	95.3%	95.9%
10	95.4%	95.1%	95.8%	95.7%	95.3%	96%
9	95.5%	95.1%	95.8%	95.7%	95.4%	96.1%
8	95.6%	95.2%	95.9%	95.8%	95.5%	96.1%
7	95.6%	95.3%	96%	95.9%	95.6%	96.2%
6	95.7%	95.4%	96%	96%	95.7%	96.3%
5	95.8%	95.5%	96.1%	96.1%	95.8%	96.4%
4	96%	95.7%	96.3%	96.2%	95.9%	96.5%
3	96.1%	95.8%	96.4%	96.4%	96.1%	96.7%
2	96.4%	96.1%	96.7%	96.7%	96.4%	97%
1	96.7%	96.4%	97%	97.2%	96.8%	97.5%

This chart shows the odds of living to each age from birth. 76.8% of newborns in Comoros and 66% in Kenya are expected to live past 60, 57.9% and 47.6% past 70, 27.7% and 25.7% past 80, and only 4.48% and 6.54% 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

Kenya

Male

Female

1x

Age	Probability of dying
	Comoros			Kenya
	Average	Male	Female	Average	Male	Female
100	41.5%	42.9%	40.8%	34.7%	36.8%	33.8%
99	39.7%	41.1%	38.9%	33.2%	35.4%	32.3%
98	38%	39.5%	37.2%	31.3%	33.6%	30.4%
97	36.2%	37.8%	35.4%	29.9%	32.1%	28.9%
96	34.4%	36.1%	33.5%	28.3%	30.6%	27.4%
95	32.6%	34.3%	31.6%	26.7%	29.1%	25.8%
94	30.7%	32.5%	29.8%	25.1%	27.5%	24%
93	29%	30.8%	28%	23.4%	25.8%	22.4%
92	27.3%	29.1%	26.2%	21.9%	24.3%	20.9%
91	25.7%	27.5%	24.6%	20.3%	22.6%	19.3%
90	24.2%	25.9%	23%	19.2%	21.3%	18.3%
89	22.7%	24.4%	21.5%	17.7%	19.8%	16.7%
88	21.2%	22.9%	20.1%	16.5%	18.5%	15.5%
87	19.8%	21.4%	18.6%	15.3%	17.2%	14.3%
86	18.4%	19.9%	17.3%	14.2%	16%	13.3%
85	17%	18.5%	15.9%	13%	14.8%	12.2%
84	15.7%	17.1%	14.6%	12%	13.7%	11.1%
83	14.4%	15.8%	13.4%	11%	12.6%	10.1%
82	13.3%	14.5%	12.3%	10.1%	11.6%	9.19%
81	12.2%	13.4%	11.2%	9.13%	10.5%	8.19%
80	11.2%	12.4%	10.2%	8.53%	9.8%	7.62%
79	10.3%	11.5%	9.34%	7.9%	9.07%	7.01%
78	9.43%	10.6%	8.51%	7.44%	8.49%	6.6%
77	8.64%	9.77%	7.73%	6.92%	7.88%	6.11%
76	7.9%	8.99%	7.01%	6.48%	7.39%	5.74%
75	7.21%	8.26%	6.35%	6.05%	6.94%	5.37%
74	6.56%	7.57%	5.72%	5.66%	6.5%	5.01%
73	5.96%	6.94%	5.15%	5.3%	6.1%	4.68%
72	5.41%	6.35%	4.63%	4.99%	5.75%	4.38%
71	4.91%	5.81%	4.15%	4.64%	5.36%	4.06%
70	4.46%	5.32%	3.72%	4.41%	5.1%	3.84%
69	4.06%	4.88%	3.34%	4.11%	4.77%	3.57%
68	3.69%	4.47%	3%	3.89%	4.52%	3.36%
67	3.37%	4.1%	2.71%	3.68%	4.29%	3.16%
66	3.08%	3.76%	2.45%	3.5%	4.08%	2.98%
65	2.82%	3.45%	2.22%	3.34%	3.91%	2.83%
64	2.58%	3.16%	2.02%	3.11%	3.65%	2.61%
63	2.36%	2.89%	1.84%	2.9%	3.42%	2.42%
62	2.15%	2.64%	1.67%	2.7%	3.2%	2.25%
61	1.97%	2.41%	1.52%	2.51%	2.97%	2.08%
60	1.8%	2.2%	1.39%	2.36%	2.81%	1.94%
59	1.64%	2.01%	1.26%	2.19%	2.59%	1.81%
58	1.5%	1.83%	1.16%	2.05%	2.43%	1.7%
57	1.38%	1.67%	1.06%	1.93%	2.28%	1.59%
56	1.26%	1.52%	0.98%	1.83%	2.15%	1.51%
55	1.16%	1.39%	0.91%	1.73%	2.05%	1.42%
54	1.07%	1.27%	0.84%	1.64%	1.93%	1.35%
53	0.98%	1.16%	0.78%	1.56%	1.83%	1.28%
52	0.9%	1.07%	0.72%	1.48%	1.74%	1.22%
51	0.83%	0.97%	0.67%	1.4%	1.64%	1.15%
50	0.76%	0.89%	0.62%	1.34%	1.57%	1.1%
49	0.7%	0.81%	0.58%	1.25%	1.47%	1.04%
48	0.64%	0.74%	0.54%	1.19%	1.38%	0.98%
47	0.59%	0.68%	0.5%	1.12%	1.3%	0.93%
46	0.54%	0.62%	0.46%	1.06%	1.23%	0.88%
45	0.5%	0.57%	0.43%	1%	1.17%	0.84%
44	0.46%	0.52%	0.4%	0.95%	1.1%	0.79%
43	0.43%	0.48%	0.37%	0.9%	1.04%	0.76%
42	0.39%	0.44%	0.35%	0.86%	0.98%	0.72%
41	0.37%	0.41%	0.32%	0.81%	0.93%	0.69%
40	0.34%	0.38%	0.3%	0.78%	0.89%	0.66%
39	0.32%	0.35%	0.28%	0.73%	0.83%	0.63%
38	0.3%	0.33%	0.27%	0.69%	0.79%	0.6%
37	0.28%	0.31%	0.25%	0.65%	0.74%	0.57%
36	0.26%	0.29%	0.23%	0.62%	0.69%	0.54%
35	0.25%	0.27%	0.22%	0.58%	0.65%	0.51%
34	0.23%	0.26%	0.21%	0.54%	0.61%	0.48%
33	0.22%	0.25%	0.19%	0.51%	0.57%	0.45%
32	0.21%	0.24%	0.18%	0.48%	0.53%	0.43%
31	0.2%	0.23%	0.18%	0.45%	0.5%	0.4%
30	0.19%	0.22%	0.17%	0.42%	0.47%	0.38%
29	0.19%	0.21%	0.16%	0.4%	0.44%	0.36%
28	0.18%	0.21%	0.15%	0.37%	0.42%	0.33%
27	0.18%	0.21%	0.15%	0.35%	0.39%	0.31%
26	0.18%	0.21%	0.14%	0.33%	0.37%	0.29%
25	0.17%	0.21%	0.13%	0.31%	0.35%	0.27%
24	0.17%	0.21%	0.13%	0.29%	0.32%	0.25%
23	0.17%	0.22%	0.13%	0.27%	0.31%	0.23%
22	0.17%	0.22%	0.12%	0.25%	0.28%	0.21%
21	0.17%	0.22%	0.12%	0.23%	0.26%	0.19%
20	0.17%	0.21%	0.12%	0.21%	0.24%	0.18%
19	0.16%	0.2%	0.12%	0.19%	0.22%	0.16%
18	0.15%	0.18%	0.11%	0.17%	0.2%	0.15%
17	0.13%	0.16%	0.1%	0.15%	0.17%	0.13%
16	0.11%	0.13%	0.09%	0.13%	0.14%	0.11%
15	0.1%	0.11%	0.08%	0.11%	0.12%	0.1%
14	0.08%	0.09%	0.07%	0.09%	0.1%	0.08%
13	0.07%	0.08%	0.06%	0.08%	0.09%	0.08%
12	0.06%	0.07%	0.06%	0.07%	0.08%	0.07%
11	0.06%	0.07%	0.06%	0.07%	0.08%	0.07%
10	0.06%	0.06%	0.05%	0.07%	0.07%	0.07%
9	0.06%	0.07%	0.06%	0.07%	0.08%	0.07%
8	0.07%	0.07%	0.06%	0.08%	0.08%	0.07%
7	0.08%	0.09%	0.07%	0.09%	0.09%	0.08%
6	0.09%	0.1%	0.09%	0.1%	0.1%	0.09%
5	0.12%	0.12%	0.11%	0.11%	0.12%	0.11%
4	0.14%	0.15%	0.14%	0.15%	0.15%	0.15%
3	0.18%	0.19%	0.18%	0.21%	0.21%	0.2%
2	0.24%	0.24%	0.23%	0.3%	0.29%	0.3%
1	0.31%	0.31%	0.31%	0.47%	0.44%	0.49%
0	3.33%	3.62%	3.03%	2.82%	3.15%	2.48%

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

The annual chance of dying is 3.33% in the birth year in Comoros and 2.82% in Kenya, 0.19% vs 0.42% at age 30, 1.8% vs 2.36% at 60, and 11.2% vs 8.53% at 80.

Death rate by age in Comoros vs Kenya

Chart Table

Comoros

Male

Female

Kenya

Male

Female

1x

Age	Death rate
	Comoros			Kenya
	Total	Male	Female	Total	Male	Female
100	0	0	0	53.6	13.4	94.3
99	62.7	34.9	96.2	158.4	84	232.3
98	96.7	55.5	146.3	217.5	120.1	313
97	144.4	85.4	215.2	295.7	169.3	419
96	209.1	127.4	307	392	232.6	547
95	293.5	184.3	423	505	311	693
94	400	259	567	631	405	851
93	532	354	740	771	514	1,023
92	689	472	940	923	638	1,207
91	873	614	1,168	1,072	767	1,378
90	1,082	782	1,420	1,255	920	1,598
89	1,313	974	1,692	1,403	1,066	1,756
88	1,560	1,186	1,973	1,565	1,223	1,933
87	1,814	1,411	2,255	1,711	1,375	2,084
86	2,065	1,641	2,523	1,852	1,523	2,224
85	2,304	1,867	2,768	1,959	1,651	2,316
84	2,519	2,081	2,981	2,058	1,776	2,391
83	2,707	2,279	3,156	2,113	1,864	2,409
82	2,867	2,460	3,292	2,159	1,941	2,415
81	2,998	2,623	3,389	2,146	1,973	2,345
80	3,101	2,766	3,447	2,192	2,033	2,362
79	3,175	2,888	3,468	2,204	2,068	2,335
78	3,219	2,983	3,452	2,244	2,116	2,353
77	3,229	3,050	3,401	2,240	2,132	2,320
76	3,205	3,085	3,317	2,243	2,160	2,313
75	3,150	3,090	3,204	2,230	2,178	2,289
74	3,068	3,065	3,066	2,212	2,183	2,248
73	2,964	3,017	2,909	2,188	2,182	2,200
72	2,845	2,949	2,740	2,166	2,180	2,156
71	2,716	2,866	2,563	2,112	2,148	2,080
70	2,582	2,773	2,387	2,099	2,153	2,048
69	2,446	2,670	2,216	2,043	2,116	1,972
68	2,314	2,562	2,055	2,012	2,102	1,922
67	2,185	2,450	1,905	1,976	2,083	1,867
66	2,060	2,335	1,767	1,944	2,067	1,816
65	1,939	2,217	1,640	1,921	2,060	1,776
64	1,820	2,097	1,521	1,844	1,998	1,682
63	1,704	1,976	1,409	1,770	1,935	1,595
62	1,591	1,856	1,304	1,699	1,873	1,515
61	1,483	1,736	1,205	1,618	1,792	1,432
60	1,379	1,620	1,112	1,560	1,739	1,366
59	1,281	1,507	1,027	1,477	1,648	1,294
58	1,190	1,400	951	1,416	1,584	1,236
57	1,106	1,299	882	1,358	1,522	1,180
56	1,027	1,204	821	1,307	1,469	1,132
55	955	1,116	767	1,262	1,425	1,085
54	887	1,034	718	1,215	1,373	1,042
53	824	956	672	1,171	1,326	1,002
52	765	884	629	1,132	1,283	967
51	709	816	588	1,084	1,231	924
50	656	753	549	1,049	1,193	892
49	606	694	511	997	1,133	850
48	560	639	476	954	1,084	811
47	518	587	443	910	1,034	774
46	479	541	413	869	988	739
45	443	498	385	834	947	710
44	411	459	359	794	900	679
43	382	424	336	761	861	653
42	355	393	315	730	824	628
41	331	365	295.6	699	786	605
40	310	340	277.8	673	757	584
39	289.9	318	261.2	639	716	559
38	271.8	298.1	245.5	610	682	536
37	255.2	280.1	230.7	580	647	511
36	239.9	263.9	216.8	549	611	487
35	226	249.4	203.8	521	578	464
34	213.6	236.6	191.9	489	543	436
33	202.7	225.4	181.3	461	510	412
32	193.3	216	172	435	481	391
31	185.4	208.2	163.8	409	452	367
30	178.9	202.2	156.6	390	431	351
29	173.7	197.9	149.9	367	404	332
28	169.5	195.4	143.7	346	382	311
27	166.3	194.4	137.7	326	361	293.5
26	164	195	132.1	306	340	273.1
25	162.7	196.8	127	287	322	252.9
24	162.1	199.4	122.8	268.3	303	234.5
23	162.1	202.2	119.7	250.7	285.1	216.8
22	162	204	117.4	232.9	266.5	199.6
21	161	203.6	115.7	214.5	246.6	182.5
20	157.5	198.8	113.6	198.6	226.6	170.5
19	150.4	188.3	110.2	180.2	205.8	154.3
18	139.2	171.8	104.6	162.4	185.4	139
17	124.3	150.5	96.7	140.3	157.5	122.8
16	107.8	127.6	87.1	119.7	131.5	107.6
15	91.8	106	77.1	102.9	111	94.6
14	78.2	88.2	67.9	87.5	93.7	81.2
13	67.9	75	60.5	76.9	81.8	72
12	61	66.5	55.4	70.4	75.3	65.4
11	57.5	62.1	52.7	67.3	72.1	62.5
10	57	61.4	52.4	66.7	70.3	63.1
9	59.5	64.3	54.7	69	72.4	65.5
8	65.4	70.7	59.9	74.2	78.3	70.1
7	75.1	81.2	68.8	82.4	86.7	78.1
6	89.6	96.6	82.4	92.5	96.3	88.6
5	110.2	117.9	102.3	109.2	111.8	106.5
4	138.8	146.7	130.7	144	146.8	141.1
3	177.9	185.1	170.4	197.9	197.7	198
2	230.3	235.4	225.1	288.3	281.8	294.8
1	300	301	299.3	454	428	480
0	3,328	3,618	3,032	2,818	3,154	2,478

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 0 in Kenya. The median age of death is 72.9 in Comoros and 68.8 in Kenya, 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 Kenya more than their death rates.

Life expectancy in other countries

+ -

1x