Life Expectancy in Comoros vs Myanmar (1950-2026)

Life expectancy by current age

Chart Table

Comoros

Male

Female

Myanmar

Male

Female

1x

Current age, years	Total life expectancy, years
	Comoros			Myanmar
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	101.7	101.6	101.7
99	100.9	100.8	101	100.7	100.6	100.7
98	100	99.9	100	99.8	99.7	99.8
97	99.1	99	99.1	98.9	98.8	98.9
96	98.2	98.1	98.3	98	97.9	98
95	97.3	97.2	97.4	97.1	97	97.2
94	96.5	96.3	96.5	96.2	96.1	96.3
93	95.6	95.5	95.7	95.4	95.2	95.4
92	94.8	94.6	94.8	94.5	94.3	94.6
91	93.9	93.7	94	93.7	93.5	93.8
90	93.1	92.9	93.2	92.9	92.6	93
89	92.3	92.1	92.4	92.1	91.8	92.2
88	91.5	91.3	91.6	91.3	91	91.4
87	90.7	90.5	90.9	90.5	90.3	90.7
86	89.9	89.7	90.1	89.8	89.5	90
85	89.2	88.9	89.4	89.1	88.8	89.3
84	88.4	88.1	88.7	88.4	88	88.6
83	87.7	87.4	88	87.7	87.3	87.9
82	87	86.7	87.3	87	86.6	87.2
81	86.4	86	86.6	86.3	85.9	86.6
80	85.7	85.3	86	85.7	85.3	86
79	85.1	84.7	85.4	85.1	84.6	85.4
78	84.4	84	84.8	84.5	84	84.8
77	83.8	83.4	84.3	83.9	83.4	84.3
76	83.3	82.7	83.7	83.3	82.8	83.8
75	82.7	82.1	83.2	82.8	82.2	83.3
74	82.2	81.6	82.7	82.3	81.6	82.8
73	81.6	81	82.2	81.8	81.1	82.3
72	81.2	80.5	81.8	81.3	80.5	81.9
71	80.7	79.9	81.3	80.9	80	81.5
70	80.2	79.4	80.9	80.4	79.5	81.1
69	79.8	79	80.6	80	79.1	80.7
68	79.4	78.5	80.2	79.6	78.6	80.4
67	79	78	79.9	79.2	78.2	80
66	78.6	77.6	79.5	78.8	77.7	79.7
65	78.2	77.2	79.2	78.5	77.3	79.4
64	77.9	76.8	78.9	78.1	76.9	79.1
63	77.5	76.4	78.6	77.8	76.6	78.9
62	77.2	76	78.4	77.5	76.2	78.6
61	76.9	75.7	78.1	77.2	75.8	78.4
60	76.6	75.4	77.9	76.9	75.5	78.1
59	76.3	75	77.6	76.6	75.2	77.9
58	76.1	74.7	77.4	76.3	74.8	77.7
57	75.8	74.4	77.2	76.1	74.5	77.5
56	75.6	74.2	77	75.8	74.3	77.3
55	75.3	73.9	76.8	75.6	74	77.1
54	75.1	73.7	76.6	75.4	73.7	76.9
53	74.9	73.4	76.4	75.2	73.5	76.8
52	74.7	73.2	76.3	75	73.2	76.6
51	74.5	73	76.1	74.8	73	76.5
50	74.3	72.8	75.9	74.6	72.8	76.3
49	74.1	72.6	75.8	74.4	72.6	76.2
48	74	72.4	75.6	74.2	72.4	76
47	73.8	72.3	75.5	74.1	72.2	75.9
46	73.7	72.1	75.4	73.9	72	75.8
45	73.5	71.9	75.2	73.8	71.8	75.7
44	73.4	71.8	75.1	73.6	71.6	75.6
43	73.3	71.7	75	73.5	71.5	75.5
42	73.1	71.5	74.9	73.4	71.3	75.4
41	73	71.4	74.8	73.2	71.2	75.3
40	72.9	71.3	74.7	73.1	71	75.2
39	72.8	71.2	74.6	73	70.9	75.1
38	72.7	71.1	74.5	72.9	70.8	75
37	72.6	71	74.4	72.8	70.6	74.9
36	72.5	70.9	74.3	72.7	70.5	74.9
35	72.4	70.8	74.2	72.6	70.4	74.8
34	72.3	70.7	74.1	72.5	70.2	74.7
33	72.3	70.6	74	72.4	70.1	74.6
32	72.2	70.5	74	72.3	70	74.6
31	72.1	70.4	73.9	72.2	69.9	74.5
30	72	70.3	73.8	72.1	69.8	74.4
29	71.9	70.2	73.8	72	69.7	74.4
28	71.9	70.1	73.7	71.9	69.5	74.3
27	71.8	70.1	73.6	71.8	69.4	74.2
26	71.7	70	73.5	71.7	69.3	74.2
25	71.6	69.9	73.5	71.6	69.2	74.1
24	71.5	69.8	73.4	71.5	69.1	74
23	71.4	69.7	73.4	71.4	68.9	74
22	71.4	69.6	73.3	71.3	68.8	73.9
21	71.3	69.5	73.2	71.2	68.7	73.9
20	71.2	69.4	73.2	71.2	68.6	73.8
19	71.1	69.3	73.1	71.1	68.5	73.7
18	71	69.2	73	71	68.4	73.7
17	71	69.1	73	70.9	68.3	73.6
16	70.9	69	72.9	70.9	68.2	73.6
15	70.9	69	72.9	70.8	68.1	73.6
14	70.8	68.9	72.9	70.7	68	73.5
13	70.8	68.9	72.8	70.7	68	73.5
12	70.7	68.8	72.8	70.7	67.9	73.5
11	70.7	68.8	72.7	70.6	67.9	73.4
10	70.7	68.7	72.7	70.6	67.8	73.4
9	70.6	68.7	72.7	70.5	67.7	73.4
8	70.6	68.7	72.6	70.5	67.7	73.3
7	70.5	68.6	72.6	70.4	67.6	73.3
6	70.5	68.5	72.5	70.3	67.5	73.3
5	70.4	68.5	72.5	70.2	67.4	73.2
4	70.3	68.4	72.4	70.1	67.3	73.1
3	70.2	68.2	72.2	70	67.1	73
2	70	68.1	72.1	69.9	67	72.9
1	69.8	67.9	71.9	69.7	66.8	72.7
0	67.5	65.4	69.7	67.5	64.4	70.8

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 Comoros can expect to live to 72 years compared to 72.1 in Myanmar, rising to 78.2 and 78.5 at 65, and to 85.7 and 85.7 at 80 — higher than the 67.5 and 67.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Comoros

Male

Female

Myanmar

Male

Female

1x

Age	Survival probability
	Comoros			Myanmar
	Average	Male	Female	Average	Male	Female
100	0.1%	0.05%	0.15%	0.06%	0.03%	0.1%
99	0.16%	0.08%	0.25%	0.11%	0.05%	0.18%
98	0.25%	0.14%	0.39%	0.19%	0.09%	0.3%
97	0.4%	0.23%	0.61%	0.32%	0.15%	0.49%
96	0.61%	0.35%	0.92%	0.51%	0.25%	0.77%
95	0.9%	0.54%	1.34%	0.79%	0.41%	1.18%
94	1.3%	0.8%	1.91%	1.19%	0.64%	1.76%
93	1.83%	1.15%	2.65%	1.74%	0.98%	2.54%
92	2.52%	1.62%	3.59%	2.49%	1.45%	3.57%
91	3.4%	2.24%	4.75%	3.44%	2.07%	4.87%
90	4.48%	3.02%	6.18%	4.63%	2.88%	6.46%
89	5.79%	3.99%	7.87%	6.06%	3.88%	8.34%
88	7.35%	5.18%	9.84%	7.74%	5.09%	10.5%
87	9.16%	6.59%	12.1%	9.65%	6.52%	12.9%
86	11.2%	8.23%	14.6%	11.8%	8.16%	15.6%
85	13.5%	10.1%	17.4%	14.2%	10%	18.5%
84	16.1%	12.2%	20.4%	16.8%	12.1%	21.7%
83	18.8%	14.5%	23.5%	19.6%	14.4%	25.1%
82	21.6%	16.9%	26.8%	22.6%	16.8%	28.6%
81	24.6%	19.5%	30.2%	25.7%	19.4%	32.2%
80	27.7%	22.3%	33.7%	28.9%	22.2%	35.8%
79	30.9%	25.2%	37.1%	32.1%	25%	39.4%
78	34.1%	28.2%	40.6%	35.3%	27.9%	42.9%
77	37.3%	31.2%	44%	38.4%	30.9%	46.3%
76	40.6%	34.3%	47.3%	41.5%	33.8%	49.6%
75	43.7%	37.4%	50.5%	44.6%	36.7%	52.8%
74	46.8%	40.5%	53.6%	47.5%	39.6%	55.8%
73	49.7%	43.5%	56.5%	50.4%	42.5%	58.7%
72	52.6%	46.4%	59.2%	53.1%	45.3%	61.4%
71	55.3%	49.3%	61.8%	55.7%	48%	63.9%
70	57.9%	52.1%	64.2%	58.2%	50.6%	66.3%
69	60.3%	54.7%	66.4%	60.6%	53.1%	68.5%
68	62.6%	57.3%	68.4%	62.8%	55.5%	70.5%
67	64.8%	59.8%	70.3%	64.9%	57.8%	72.4%
66	66.9%	62.1%	72.1%	66.9%	60%	74.2%
65	68.8%	64.3%	73.7%	68.7%	62%	75.8%
64	70.6%	66.4%	75.3%	70.5%	64%	77.3%
63	72.3%	68.4%	76.7%	72.1%	65.9%	78.6%
62	73.9%	70.2%	78%	73.6%	67.7%	79.9%
61	75.4%	72%	79.2%	75%	69.4%	81.1%
60	76.8%	73.6%	80.3%	76.4%	71%	82.1%
59	78.1%	75.1%	81.3%	77.6%	72.4%	83.1%
58	79.3%	76.5%	82.3%	78.8%	73.8%	84%
57	80.4%	77.8%	83.1%	79.9%	75.1%	84.9%
56	81.4%	79%	84%	80.9%	76.3%	85.7%
55	82.4%	80.1%	84.7%	81.8%	77.5%	86.4%
54	83.2%	81.2%	85.5%	82.7%	78.5%	87.1%
53	84.1%	82.1%	86.1%	83.5%	79.5%	87.7%
52	84.8%	83%	86.8%	84.2%	80.4%	88.3%
51	85.5%	83.8%	87.3%	84.9%	81.3%	88.8%
50	86.2%	84.6%	87.9%	85.6%	82.1%	89.3%
49	86.8%	85.3%	88.4%	86.2%	82.9%	89.8%
48	87.4%	85.9%	88.9%	86.8%	83.5%	90.2%
47	87.9%	86.5%	89.3%	87.3%	84.2%	90.6%
46	88.4%	87%	89.7%	87.8%	84.8%	91%
45	88.8%	87.5%	90.1%	88.2%	85.4%	91.3%
44	89.2%	88%	90.5%	88.7%	85.9%	91.6%
43	89.6%	88.4%	90.8%	89.1%	86.4%	91.9%
42	90%	88.8%	91.1%	89.5%	86.9%	92.2%
41	90.3%	89.2%	91.4%	89.8%	87.3%	92.5%
40	90.6%	89.5%	91.7%	90.1%	87.7%	92.7%
39	90.9%	89.8%	92%	90.5%	88.1%	92.9%
38	91.2%	90.1%	92.2%	90.7%	88.5%	93.1%
37	91.4%	90.4%	92.4%	91%	88.9%	93.4%
36	91.6%	90.7%	92.7%	91.3%	89.2%	93.5%
35	91.9%	90.9%	92.9%	91.6%	89.5%	93.7%
34	92.1%	91.1%	93.1%	91.8%	89.8%	93.9%
33	92.3%	91.4%	93.2%	92%	90.1%	94.1%
32	92.5%	91.6%	93.4%	92.3%	90.4%	94.2%
31	92.7%	91.8%	93.6%	92.5%	90.7%	94.4%
30	92.8%	92%	93.7%	92.7%	90.9%	94.5%
29	93%	92.2%	93.9%	92.9%	91.2%	94.7%
28	93.2%	92.4%	94%	93.1%	91.4%	94.8%
27	93.4%	92.6%	94.2%	93.3%	91.7%	94.9%
26	93.5%	92.8%	94.3%	93.5%	92%	95.1%
25	93.7%	93%	94.4%	93.6%	92.2%	95.2%
24	93.8%	93.2%	94.5%	93.8%	92.5%	95.3%
23	94%	93.4%	94.7%	94%	92.7%	95.4%
22	94.2%	93.6%	94.8%	94.2%	93%	95.5%
21	94.3%	93.8%	94.9%	94.4%	93.2%	95.6%
20	94.5%	94%	95%	94.6%	93.4%	95.7%
19	94.6%	94.2%	95.1%	94.7%	93.6%	95.8%
18	94.8%	94.3%	95.2%	94.8%	93.8%	95.9%
17	94.9%	94.5%	95.3%	95%	94%	96%
16	95%	94.6%	95.4%	95.1%	94.2%	96.1%
15	95.1%	94.7%	95.5%	95.2%	94.3%	96.1%
14	95.2%	94.8%	95.6%	95.3%	94.4%	96.2%
13	95.3%	94.9%	95.6%	95.4%	94.5%	96.2%
12	95.3%	95%	95.7%	95.4%	94.6%	96.3%
11	95.4%	95%	95.7%	95.5%	94.7%	96.3%
10	95.4%	95.1%	95.8%	95.6%	94.8%	96.4%
9	95.5%	95.1%	95.8%	95.7%	94.9%	96.4%
8	95.6%	95.2%	95.9%	95.7%	95%	96.5%
7	95.6%	95.3%	96%	95.8%	95.2%	96.5%
6	95.7%	95.4%	96%	95.9%	95.3%	96.6%
5	95.8%	95.5%	96.1%	96.1%	95.5%	96.7%
4	96%	95.7%	96.3%	96.2%	95.7%	96.8%
3	96.1%	95.8%	96.4%	96.4%	95.9%	96.9%
2	96.4%	96.1%	96.7%	96.6%	96.1%	97.1%
1	96.7%	96.4%	97%	96.8%	96.3%	97.4%

This chart shows the odds of living to each age from birth. 76.8% of newborns in Comoros and 76.4% in Myanmar are expected to live past 60, 57.9% and 58.2% past 70, 27.7% and 28.9% past 80, and only 4.48% and 4.63% 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

Myanmar

Male

Female

1x

Age	Probability of dying
	Comoros			Myanmar
	Average	Male	Female	Average	Male	Female
100	41.5%	42.9%	40.8%	45%	47.5%	44.5%
99	39.7%	41.1%	38.9%	43.2%	45.6%	42.5%
98	38%	39.5%	37.2%	41.2%	43.7%	40.5%
97	36.2%	37.8%	35.4%	39.3%	41.8%	38.5%
96	34.4%	36.1%	33.5%	37.4%	40%	36.5%
95	32.6%	34.3%	31.6%	35.6%	38.1%	34.7%
94	30.7%	32.5%	29.8%	33.7%	36.3%	32.8%
93	29%	30.8%	28%	31.9%	34.3%	30.9%
92	27.3%	29.1%	26.2%	29.9%	32.3%	28.9%
91	25.7%	27.5%	24.6%	27.8%	30.2%	26.8%
90	24.2%	25.9%	23%	25.7%	28%	24.6%
89	22.7%	24.4%	21.5%	23.6%	25.8%	22.5%
88	21.2%	22.9%	20.1%	21.6%	23.8%	20.5%
87	19.8%	21.4%	18.6%	19.8%	21.9%	18.8%
86	18.4%	19.9%	17.3%	18.2%	20.1%	17.2%
85	17%	18.5%	15.9%	16.8%	18.6%	15.8%
84	15.7%	17.1%	14.6%	15.5%	17.1%	14.6%
83	14.4%	15.8%	13.4%	14.3%	15.8%	13.4%
82	13.3%	14.5%	12.3%	13.2%	14.6%	12.3%
81	12.2%	13.4%	11.2%	12.1%	13.5%	11.2%
80	11.2%	12.4%	10.2%	11%	12.4%	10.1%
79	10.3%	11.5%	9.34%	10%	11.3%	9.11%
78	9.43%	10.6%	8.51%	9.07%	10.4%	8.19%
77	8.64%	9.77%	7.73%	8.23%	9.52%	7.36%
76	7.9%	8.99%	7.01%	7.48%	8.72%	6.63%
75	7.21%	8.26%	6.35%	6.81%	7.98%	5.99%
74	6.56%	7.57%	5.72%	6.21%	7.31%	5.41%
73	5.96%	6.94%	5.15%	5.66%	6.7%	4.89%
72	5.41%	6.35%	4.63%	5.16%	6.13%	4.42%
71	4.91%	5.81%	4.15%	4.69%	5.62%	3.98%
70	4.46%	5.32%	3.72%	4.27%	5.15%	3.58%
69	4.06%	4.88%	3.34%	3.88%	4.72%	3.22%
68	3.69%	4.47%	3%	3.54%	4.33%	2.89%
67	3.37%	4.1%	2.71%	3.23%	3.98%	2.6%
66	3.08%	3.76%	2.45%	2.95%	3.66%	2.35%
65	2.82%	3.45%	2.22%	2.7%	3.37%	2.12%
64	2.58%	3.16%	2.02%	2.47%	3.1%	1.92%
63	2.36%	2.89%	1.84%	2.26%	2.86%	1.74%
62	2.15%	2.64%	1.67%	2.07%	2.63%	1.58%
61	1.97%	2.41%	1.52%	1.9%	2.42%	1.44%
60	1.8%	2.2%	1.39%	1.74%	2.22%	1.31%
59	1.64%	2.01%	1.26%	1.6%	2.04%	1.19%
58	1.5%	1.83%	1.16%	1.47%	1.88%	1.08%
57	1.38%	1.67%	1.06%	1.35%	1.73%	0.99%
56	1.26%	1.52%	0.98%	1.24%	1.59%	0.91%
55	1.16%	1.39%	0.91%	1.14%	1.47%	0.84%
54	1.07%	1.27%	0.84%	1.06%	1.35%	0.77%
53	0.98%	1.16%	0.78%	0.97%	1.25%	0.71%
52	0.9%	1.07%	0.72%	0.9%	1.15%	0.66%
51	0.83%	0.97%	0.67%	0.83%	1.06%	0.61%
50	0.76%	0.89%	0.62%	0.77%	0.98%	0.56%
49	0.7%	0.81%	0.58%	0.71%	0.9%	0.52%
48	0.64%	0.74%	0.54%	0.65%	0.83%	0.48%
47	0.59%	0.68%	0.5%	0.6%	0.77%	0.44%
46	0.54%	0.62%	0.46%	0.56%	0.72%	0.41%
45	0.5%	0.57%	0.43%	0.52%	0.67%	0.37%
44	0.46%	0.52%	0.4%	0.48%	0.62%	0.35%
43	0.43%	0.48%	0.37%	0.45%	0.58%	0.32%
42	0.39%	0.44%	0.35%	0.42%	0.54%	0.3%
41	0.37%	0.41%	0.32%	0.39%	0.51%	0.28%
40	0.34%	0.38%	0.3%	0.37%	0.47%	0.26%
39	0.32%	0.35%	0.28%	0.35%	0.45%	0.25%
38	0.3%	0.33%	0.27%	0.33%	0.42%	0.23%
37	0.28%	0.31%	0.25%	0.31%	0.4%	0.22%
36	0.26%	0.29%	0.23%	0.29%	0.38%	0.21%
35	0.25%	0.27%	0.22%	0.28%	0.36%	0.2%
34	0.23%	0.26%	0.21%	0.26%	0.34%	0.19%
33	0.22%	0.25%	0.19%	0.25%	0.33%	0.18%
32	0.21%	0.24%	0.18%	0.24%	0.31%	0.17%
31	0.2%	0.23%	0.18%	0.23%	0.3%	0.16%
30	0.19%	0.22%	0.17%	0.22%	0.29%	0.16%
29	0.19%	0.21%	0.16%	0.22%	0.28%	0.15%
28	0.18%	0.21%	0.15%	0.21%	0.28%	0.14%
27	0.18%	0.21%	0.15%	0.21%	0.28%	0.14%
26	0.18%	0.21%	0.14%	0.21%	0.27%	0.13%
25	0.17%	0.21%	0.13%	0.2%	0.27%	0.13%
24	0.17%	0.21%	0.13%	0.2%	0.27%	0.13%
23	0.17%	0.22%	0.13%	0.2%	0.27%	0.12%
22	0.17%	0.22%	0.12%	0.19%	0.27%	0.12%
21	0.17%	0.22%	0.12%	0.19%	0.26%	0.11%
20	0.17%	0.21%	0.12%	0.18%	0.24%	0.11%
19	0.16%	0.2%	0.12%	0.16%	0.23%	0.1%
18	0.15%	0.18%	0.11%	0.15%	0.2%	0.09%
17	0.13%	0.16%	0.1%	0.13%	0.18%	0.08%
16	0.11%	0.13%	0.09%	0.12%	0.16%	0.07%
15	0.1%	0.11%	0.08%	0.1%	0.14%	0.07%
14	0.08%	0.09%	0.07%	0.09%	0.13%	0.06%
13	0.07%	0.08%	0.06%	0.08%	0.11%	0.05%
12	0.06%	0.07%	0.06%	0.08%	0.11%	0.05%
11	0.06%	0.07%	0.06%	0.08%	0.11%	0.05%
10	0.06%	0.06%	0.05%	0.08%	0.11%	0.05%
9	0.06%	0.07%	0.06%	0.08%	0.11%	0.05%
8	0.07%	0.07%	0.06%	0.09%	0.12%	0.05%
7	0.08%	0.09%	0.07%	0.1%	0.13%	0.06%
6	0.09%	0.1%	0.09%	0.11%	0.15%	0.07%
5	0.12%	0.12%	0.11%	0.13%	0.17%	0.09%
4	0.14%	0.15%	0.14%	0.15%	0.19%	0.11%
3	0.18%	0.19%	0.18%	0.18%	0.21%	0.14%
2	0.24%	0.24%	0.23%	0.21%	0.23%	0.19%
1	0.31%	0.31%	0.31%	0.26%	0.26%	0.25%
0	3.33%	3.62%	3.03%	3.16%	3.67%	2.63%

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

The annual chance of dying is 3.33% in the birth year in Comoros and 3.16% in Myanmar, 0.19% vs 0.22% at age 30, 1.8% vs 1.74% at 60, and 11.2% vs 11% at 80.

Death rate by age in Comoros vs Myanmar

Chart Table

Comoros

Male

Female

Myanmar

Male

Female

1x

Age	Death rate
	Comoros			Myanmar
	Total	Male	Female	Total	Male	Female
100	0	0	0	0	0	0
99	62.7	34.9	96.2	48.9	22.8	76.2
98	96.7	55.5	146.3	79.4	38.8	121.9
97	144.4	85.4	215.2	124.6	63.8	188.2
96	209.1	127.4	307	189.6	101.6	281.7
95	293.5	184.3	423	279.8	156.5	409
94	400	259	567	401	233.5	575
93	532	354	740	555	336	784
92	689	472	940	743	467	1,030
91	873	614	1,168	957	625	1,303
90	1,082	782	1,420	1,190	806	1,590
89	1,313	974	1,692	1,431	1,003	1,877
88	1,560	1,186	1,973	1,674	1,211	2,156
87	1,814	1,411	2,255	1,916	1,426	2,426
86	2,065	1,641	2,523	2,155	1,643	2,688
85	2,304	1,867	2,768	2,389	1,860	2,938
84	2,519	2,081	2,981	2,610	2,073	3,169
83	2,707	2,279	3,156	2,810	2,274	3,366
82	2,867	2,460	3,292	2,976	2,458	3,514
81	2,998	2,623	3,389	3,100	2,616	3,601
80	3,101	2,766	3,447	3,176	2,744	3,623
79	3,175	2,888	3,468	3,207	2,839	3,589
78	3,219	2,983	3,452	3,198	2,903	3,513
77	3,229	3,050	3,401	3,162	2,938	3,410
76	3,205	3,085	3,317	3,109	2,947	3,290
75	3,150	3,090	3,204	3,037	2,933	3,160
74	3,068	3,065	3,066	2,952	2,898	3,020
73	2,964	3,017	2,909	2,852	2,846	2,870
72	2,845	2,949	2,740	2,740	2,777	2,711
71	2,716	2,866	2,563	2,617	2,695	2,545
70	2,582	2,773	2,387	2,486	2,602	2,374
69	2,446	2,670	2,216	2,353	2,503	2,205
68	2,314	2,562	2,055	2,221	2,401	2,041
67	2,185	2,450	1,905	2,093	2,297	1,887
66	2,060	2,335	1,767	1,971	2,193	1,743
65	1,939	2,217	1,640	1,854	2,090	1,610
64	1,820	2,097	1,521	1,741	1,986	1,486
63	1,704	1,976	1,409	1,632	1,883	1,371
62	1,591	1,856	1,304	1,527	1,780	1,264
61	1,483	1,736	1,205	1,427	1,678	1,164
60	1,379	1,620	1,112	1,331	1,578	1,072
59	1,281	1,507	1,027	1,240	1,480	987
58	1,190	1,400	951	1,154	1,386	911
57	1,106	1,299	882	1,076	1,297	842
56	1,027	1,204	821	1,003	1,214	780
55	955	1,116	767	936	1,135	724
54	887	1,034	718	872	1,061	673
53	824	956	672	813	990	625
52	765	884	629	757	924	581
51	709	816	588	705	861	540
50	656	753	549	656	802	501
49	606	694	511	610	747	464
48	560	639	476	567	696	430
47	518	587	443	528	650	398
46	479	541	413	492	608	368
45	443	498	385	459	569	342
44	411	459	359	429	533	317
43	382	424	336	401	501	295.4
42	355	393	315	376	470	275.8
41	331	365	295.6	353	442	258.5
40	310	340	277.8	332	416	242.9
39	289.9	318	261.2	313	393	228.9
38	271.8	298.1	245.5	296.2	371	216.1
37	255.2	280.1	230.7	280.8	352	204.4
36	239.9	263.9	216.8	266.9	336	193.6
35	226	249.4	203.8	254.3	321	183.7
34	213.6	236.6	191.9	243	307	174.8
33	202.7	225.4	181.3	232.8	294.9	166.6
32	193.3	216	172	223.5	283.8	159.3
31	185.4	208.2	163.8	215.2	273.9	152.7
30	178.9	202.2	156.6	207.9	265.5	146.7
29	173.7	197.9	149.9	202.1	259.1	141.4
28	169.5	195.4	143.7	197.6	254.9	136.5
27	166.3	194.4	137.7	194.3	252.8	132
26	164	195	132.1	192	252.4	127.6
25	162.7	196.8	127	190.4	253.2	123.3
24	162.1	199.4	122.8	188.8	254	119.3
23	162.1	202.2	119.7	186.4	253.1	115.3
22	162	204	117.4	182.4	249.3	111.1
21	161	203.6	115.7	176.1	241.2	106.5
20	157.5	198.8	113.6	166.9	228.5	101.2
19	150.4	188.3	110.2	155.2	211.6	94.9
18	139.2	171.8	104.6	141.5	191.9	87.7
17	124.3	150.5	96.7	126.9	171.1	79.7
16	107.8	127.6	87.1	112.5	151	71.4
15	91.8	106	77.1	99.4	133.1	63.5
14	78.2	88.2	67.9	88.7	118.8	56.6
13	67.9	75	60.5	80.8	108.5	51.1
12	61	66.5	55.4	75.8	102.5	47.2
11	57.5	62.1	52.7	73.9	100.8	45.1
10	57	61.4	52.4	74.7	102.7	44.8
9	59.5	64.3	54.7	78.4	108.2	46.5
8	65.4	70.7	59.9	84.8	116.9	50.5
7	75.1	81.2	68.8	94.1	128.4	57.4
6	89.6	96.6	82.4	106.6	142.5	68.2
5	110.2	117.9	102.3	122.9	158.9	84.2
4	138.8	146.7	130.7	143.8	177.8	107.5
3	177.9	185.1	170.4	170.7	199.2	140.2
2	230.3	235.4	225.1	205.2	223.4	185.7
1	300	301	299.3	249.9	251.4	248.2
0	3,328	3,618	3,032	3,164	3,669	2,626

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 79 in Myanmar. The median age of death is 72.9 in Comoros and 73.1 in Myanmar, 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 Myanmar more than their death rates.

Life expectancy in other countries

+ -

1x