Life Expectancy in Myanmar vs Seychelles (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Myanmar vs the Seychelles: 72 years vs 75 at 30, 78.4 vs 80.5 at 65, 85.7 vs 87 at 80 — significantly higher than the 67.3 vs 73.1 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Myanmar and the Seychelles.

Table

Current age, years	Total life expectancy, years
	Myanmar			Seychelles
	Average	Male	Female	Average	Male	Female
0	67.3	64.2	70.6	73.1	70.2	76.8
1	69.6	66.7	72.6	73.9	71	77.5
2	69.7	66.8	72.7	73.9	71	77.6
3	69.9	67	72.9	74	71.1	77.6
4	70	67.1	73	74	71.1	77.7
5	70.1	67.3	73.1	74	71.1	77.7
6	70.2	67.4	73.1	74.1	71.2	77.7
7	70.3	67.5	73.2	74.1	71.2	77.7
8	70.3	67.5	73.2	74.1	71.2	77.7
9	70.4	67.6	73.3	74.1	71.2	77.8
10	70.4	67.7	73.3	74.1	71.2	77.8
11	70.5	67.7	73.3	74.1	71.3	77.8
12	70.5	67.8	73.3	74.1	71.3	77.8
13	70.6	67.9	73.4	74.2	71.3	77.8
14	70.6	67.9	73.4	74.2	71.3	77.8
15	70.7	68	73.4	74.2	71.3	77.8
16	70.7	68.1	73.5	74.2	71.4	77.8
17	70.8	68.2	73.5	74.2	71.4	77.8
18	70.9	68.3	73.6	74.3	71.4	77.9
19	71	68.4	73.6	74.3	71.5	77.9
20	71	68.5	73.7	74.3	71.5	77.9
21	71.1	68.6	73.7	74.4	71.6	77.9
22	71.2	68.7	73.8	74.4	71.7	77.9
23	71.3	68.8	73.9	74.5	71.8	78
24	71.4	69	73.9	74.6	71.8	78
25	71.5	69.1	74	74.6	71.9	78.1
26	71.6	69.2	74.1	74.7	72	78.2
27	71.7	69.3	74.1	74.8	72.1	78.2
28	71.8	69.5	74.2	74.8	72.1	78.3
29	71.9	69.6	74.3	74.9	72.2	78.3
30	72	69.7	74.3	75	72.3	78.4
31	72.1	69.8	74.4	75.1	72.4	78.4
32	72.2	69.9	74.5	75.1	72.5	78.5
33	72.3	70	74.5	75.2	72.6	78.6
34	72.4	70.2	74.6	75.3	72.7	78.6
35	72.5	70.3	74.7	75.4	72.7	78.7
36	72.6	70.4	74.8	75.5	72.8	78.8
37	72.7	70.5	74.8	75.5	72.9	78.9
38	72.8	70.7	74.9	75.6	73	78.9
39	72.9	70.8	75	75.7	73.1	79
40	73	71	75.1	75.8	73.2	79.1
41	73.2	71.1	75.2	75.9	73.3	79.1
42	73.3	71.3	75.3	76	73.4	79.2
43	73.4	71.4	75.4	76.1	73.5	79.2
44	73.6	71.6	75.5	76.2	73.7	79.3
45	73.7	71.8	75.6	76.4	73.8	79.3
46	73.9	71.9	75.7	76.5	74	79.4
47	74	72.1	75.8	76.6	74.2	79.5
48	74.2	72.3	76	76.8	74.4	79.6
49	74.3	72.5	76.1	76.9	74.6	79.7
50	74.5	72.7	76.3	77.1	74.7	79.8
51	74.7	73	76.4	77.3	74.9	79.9
52	74.9	73.2	76.6	77.4	75.1	80.1
53	75.1	73.4	76.7	77.6	75.3	80.2
54	75.3	73.7	76.9	77.8	75.6	80.3
55	75.6	73.9	77.1	78	75.8	80.5
56	75.8	74.2	77.2	78.2	76.1	80.6
57	76	74.5	77.4	78.4	76.3	80.7
58	76.3	74.8	77.6	78.6	76.6	80.9
59	76.6	75.1	77.8	78.9	76.9	81
60	76.8	75.5	78.1	79.1	77.2	81.2
61	77.1	75.8	78.3	79.4	77.5	81.4
62	77.4	76.2	78.6	79.6	77.8	81.6
63	77.8	76.5	78.8	79.9	78.1	81.8
64	78.1	76.9	79.1	80.2	78.5	82
65	78.4	77.3	79.4	80.5	78.8	82.2
66	78.8	77.7	79.7	80.8	79.2	82.4
67	79.2	78.1	80	81.1	79.6	82.7
68	79.6	78.6	80.3	81.5	80	82.9
69	80	79.1	80.7	81.9	80.5	83.2
70	80.4	79.5	81.1	82.2	80.9	83.5
71	80.8	80	81.5	82.6	81.4	83.8
72	81.3	80.5	81.9	83	81.8	84.1
73	81.8	81.1	82.3	83.5	82.3	84.5
74	82.3	81.6	82.8	83.9	82.8	84.8
75	82.8	82.2	83.2	84.4	83.3	85.2
76	83.3	82.7	83.7	84.8	83.9	85.6
77	83.9	83.3	84.3	85.3	84.4	86
78	84.5	84	84.8	85.9	85	86.5
79	85.1	84.6	85.4	86.4	85.6	86.9
80	85.7	85.2	86	87	86.2	87.4
81	86.3	85.9	86.6	87.5	86.8	87.9
82	87	86.6	87.2	88.1	87.5	88.5
83	87.7	87.3	87.9	88.7	88.2	89.1
84	88.4	88	88.6	89.4	88.8	89.6
85	89.1	88.8	89.2	90	89.5	90.3
86	89.8	89.5	90	90.7	90.3	90.9
87	90.5	90.3	90.7	91.4	91	91.6
88	91.3	91	91.4	92.1	91.7	92.3
89	92.1	91.8	92.2	92.8	92.5	93
90	92.8	92.6	93	93.6	93.3	93.7
91	93.7	93.5	93.8	94.4	94.1	94.4
92	94.5	94.3	94.6	95.1	94.9	95.2
93	95.4	95.2	95.4	95.9	95.7	96
94	96.2	96.1	96.3	96.7	96.6	96.8
95	97.1	97	97.2	97.6	97.4	97.6
96	98	97.9	98	98.4	98.3	98.5
97	98.9	98.8	98.9	99.3	99.1	99.3
98	99.8	99.7	99.8	100.2	100	100.2
99	100.7	100.6	100.7	101.1	100.9	101.1
100	101.7	101.5	101.7	102	101.8	102

Odds of living to age in Myanmar vs Seychelles

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 76.1% in Myanmar and 83.3% in the Seychelles are expected to survive till at least 60 years old, 57.9% and 67.8% will live to 70 years or older, 28.6% and 40.2% to 80+ years, and 4.56% and 10.2% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Myanmar			Seychelles
	Average	Male	Female	Average	Male	Female
1	96.8%	96.3%	97.3%	99%	98.9%	99.1%
2	96.5%	96%	97%	98.9%	98.9%	99%
3	96.3%	95.8%	96.8%	98.9%	98.8%	99%
4	96.1%	95.6%	96.7%	98.8%	98.7%	98.9%
5	96%	95.4%	96.6%	98.8%	98.7%	98.9%
6	95.8%	95.2%	96.5%	98.8%	98.7%	98.9%
7	95.7%	95.1%	96.4%	98.7%	98.6%	98.8%
8	95.6%	94.9%	96.4%	98.7%	98.6%	98.8%
9	95.5%	94.8%	96.3%	98.7%	98.6%	98.8%
10	95.5%	94.7%	96.3%	98.7%	98.6%	98.8%
11	95.4%	94.6%	96.2%	98.6%	98.5%	98.7%
12	95.3%	94.5%	96.2%	98.6%	98.5%	98.7%
13	95.2%	94.4%	96.1%	98.6%	98.5%	98.7%
14	95.2%	94.3%	96.1%	98.6%	98.4%	98.7%
15	95.1%	94.2%	96%	98.5%	98.4%	98.7%
16	95%	94%	95.9%	98.5%	98.4%	98.7%
17	94.8%	93.9%	95.9%	98.5%	98.3%	98.7%
18	94.7%	93.7%	95.8%	98.4%	98.2%	98.6%
19	94.6%	93.5%	95.7%	98.4%	98.1%	98.6%
20	94.4%	93.3%	95.6%	98.3%	98%	98.6%
21	94.2%	93.1%	95.5%	98.2%	97.9%	98.5%
22	94.1%	92.8%	95.4%	98.1%	97.7%	98.5%
23	93.9%	92.6%	95.3%	98%	97.6%	98.4%
24	93.7%	92.3%	95.2%	97.9%	97.4%	98.3%
25	93.5%	92%	95%	97.7%	97.3%	98.2%
26	93.3%	91.8%	94.9%	97.6%	97.1%	98.1%
27	93.1%	91.5%	94.8%	97.5%	97%	98%
28	92.9%	91.3%	94.6%	97.3%	96.8%	97.9%
29	92.7%	91%	94.5%	97.2%	96.7%	97.8%
30	92.5%	90.7%	94.4%	97%	96.5%	97.7%
31	92.3%	90.5%	94.2%	96.9%	96.3%	97.6%
32	92.1%	90.2%	94%	96.7%	96%	97.4%
33	91.8%	89.9%	93.9%	96.5%	95.8%	97.3%
34	91.6%	89.6%	93.7%	96.3%	95.6%	97.1%
35	91.3%	89.3%	93.5%	96.1%	95.4%	97%
36	91.1%	89%	93.3%	95.9%	95.2%	96.8%
37	90.8%	88.6%	93.2%	95.7%	95%	96.6%
38	90.5%	88.3%	92.9%	95.5%	94.8%	96.4%
39	90.2%	87.9%	92.7%	95.3%	94.5%	96.3%
40	89.9%	87.5%	92.5%	95.1%	94.3%	96.1%
41	89.6%	87.1%	92.2%	94.8%	94%	96%
42	89.2%	86.6%	92%	94.6%	93.6%	95.9%
43	88.8%	86.2%	91.7%	94.2%	93.2%	95.7%
44	88.4%	85.7%	91.4%	93.9%	92.7%	95.6%
45	88%	85.1%	91.1%	93.5%	92.2%	95.4%
46	87.5%	84.5%	90.7%	93.1%	91.6%	95.2%
47	87%	83.9%	90.4%	92.6%	91%	95%
48	86.5%	83.3%	90%	92.1%	90.4%	94.7%
49	85.9%	82.6%	89.5%	91.6%	89.8%	94.4%
50	85.3%	81.8%	89%	91.1%	89.1%	94%
51	84.7%	81%	88.5%	90.5%	88.4%	93.6%
52	83.9%	80.1%	88%	89.9%	87.7%	93.2%
53	83.2%	79.2%	87.4%	89.3%	86.9%	92.7%
54	82.4%	78.2%	86.8%	88.6%	86%	92.3%
55	81.5%	77.2%	86.1%	87.8%	85%	91.8%
56	80.5%	76%	85.4%	87.1%	84%	91.3%
57	79.5%	74.8%	84.6%	86.2%	82.9%	90.8%
58	78.5%	73.5%	83.7%	85.3%	81.7%	90.2%
59	77.3%	72.1%	82.8%	84.4%	80.5%	89.6%
60	76.1%	70.6%	81.8%	83.3%	79.1%	88.9%
61	74.7%	69%	80.7%	82.2%	77.7%	88.1%
62	73.3%	67.4%	79.6%	81%	76.1%	87.3%
63	71.8%	65.6%	78.3%	79.8%	74.5%	86.4%
64	70.1%	63.7%	76.9%	78.4%	72.8%	85.4%
65	68.4%	61.7%	75.4%	76.9%	70.9%	84.4%
66	66.5%	59.6%	73.8%	75.3%	68.9%	83.2%
67	64.6%	57.4%	72.1%	73.6%	66.9%	82%
68	62.5%	55.1%	70.2%	71.8%	64.7%	80.6%
69	60.2%	52.7%	68.1%	69.8%	62.4%	79.1%
70	57.9%	50.2%	65.9%	67.8%	60%	77.5%
71	55.4%	47.6%	63.6%	65.5%	57.5%	75.7%
72	52.8%	45%	61%	63.2%	54.8%	73.8%
73	50.1%	42.2%	58.3%	60.8%	52.1%	71.7%
74	47.2%	39.3%	55.4%	58.2%	49.3%	69.4%
75	44.3%	36.5%	52.4%	55.4%	46.4%	67%
76	41.2%	33.5%	49.3%	52.6%	43.4%	64.3%
77	38.1%	30.6%	46%	49.6%	40.3%	61.5%
78	35%	27.7%	42.6%	46.5%	37.2%	58.4%
79	31.8%	24.8%	39.1%	43.4%	34.1%	55.2%
80	28.6%	22%	35.5%	40.2%	31%	51.7%
81	25.4%	19.2%	31.9%	36.9%	27.9%	48.1%
82	22.4%	16.7%	28.3%	33.5%	24.9%	44.4%
83	19.4%	14.2%	24.8%	30.2%	22%	40.6%
84	16.6%	12%	21.5%	26.9%	19.2%	36.7%
85	14%	9.9%	18.3%	23.8%	16.5%	32.7%
86	11.7%	8.06%	15.4%	20.7%	14%	28.9%
87	9.53%	6.44%	12.8%	17.8%	11.8%	25.1%
88	7.63%	5.03%	10.4%	15.1%	9.68%	21.4%
89	5.98%	3.83%	8.22%	12.5%	7.84%	18%
90	4.56%	2.84%	6.36%	10.2%	6.22%	14.9%
91	3.39%	2.04%	4.79%	8.19%	4.84%	12.1%
92	2.44%	1.42%	3.51%	6.43%	3.68%	9.56%
93	1.71%	0.96%	2.49%	4.93%	2.74%	7.41%
94	1.17%	0.63%	1.72%	3.7%	1.98%	5.6%
95	0.77%	0.4%	1.16%	2.7%	1.4%	4.13%
96	0.5%	0.25%	0.75%	1.92%	0.97%	2.96%
97	0.31%	0.15%	0.48%	1.32%	0.65%	2.06%
98	0.19%	0.09%	0.29%	0.89%	0.42%	1.4%
99	0.11%	0.05%	0.17%	0.58%	0.27%	0.92%
100	0.06%	0.03%	0.1%	0.36%	0.16%	0.58%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 3.24% in the birth year in Myanmar and 0.99% in the Seychelles, 0.23% vs 0.17% at age 30, 1.76% vs 1.33% at 60, and 11% vs 8.17% at 80.

Below is a graph displaying the probabilities of dying in Myanmar compared to the Seychelles at any given age.

Table

Age	Probability of dying
	Myanmar			Seychelles
	Average	Male	Female	Average	Male	Female
0	3.24%	3.74%	2.71%	0.99%	1.08%	0.9%
1	0.26%	0.27%	0.26%	0.07%	0.07%	0.07%
2	0.22%	0.24%	0.2%	0.06%	0.06%	0.06%
3	0.18%	0.21%	0.15%	0.05%	0.05%	0.05%
4	0.15%	0.19%	0.11%	0.04%	0.04%	0.04%
5	0.13%	0.17%	0.09%	0.03%	0.04%	0.03%
6	0.11%	0.15%	0.07%	0.03%	0.03%	0.03%
7	0.1%	0.14%	0.06%	0.03%	0.03%	0.02%
8	0.09%	0.13%	0.05%	0.02%	0.03%	0.02%
9	0.08%	0.12%	0.05%	0.02%	0.03%	0.02%
10	0.08%	0.11%	0.05%	0.02%	0.02%	0.02%
11	0.08%	0.11%	0.05%	0.02%	0.03%	0.02%
12	0.08%	0.11%	0.05%	0.02%	0.03%	0.02%
13	0.09%	0.12%	0.05%	0.02%	0.03%	0.02%
14	0.1%	0.13%	0.06%	0.03%	0.04%	0.01%
15	0.11%	0.14%	0.07%	0.03%	0.05%	0.01%
16	0.12%	0.16%	0.08%	0.04%	0.06%	0.02%
17	0.14%	0.19%	0.09%	0.05%	0.08%	0.02%
18	0.15%	0.21%	0.09%	0.06%	0.1%	0.02%
19	0.17%	0.23%	0.1%	0.07%	0.11%	0.03%
20	0.18%	0.25%	0.11%	0.09%	0.13%	0.05%
21	0.19%	0.26%	0.11%	0.1%	0.14%	0.06%
22	0.2%	0.27%	0.12%	0.12%	0.15%	0.08%
23	0.2%	0.28%	0.12%	0.13%	0.15%	0.1%
24	0.21%	0.28%	0.13%	0.13%	0.15%	0.11%
25	0.21%	0.28%	0.13%	0.13%	0.15%	0.11%
26	0.21%	0.28%	0.14%	0.14%	0.16%	0.1%
27	0.21%	0.28%	0.14%	0.14%	0.16%	0.1%
28	0.22%	0.28%	0.15%	0.15%	0.18%	0.1%
29	0.22%	0.29%	0.15%	0.16%	0.19%	0.11%
30	0.23%	0.3%	0.16%	0.17%	0.21%	0.12%
31	0.24%	0.31%	0.17%	0.19%	0.23%	0.13%
32	0.25%	0.32%	0.17%	0.2%	0.23%	0.15%
33	0.26%	0.33%	0.18%	0.21%	0.23%	0.16%
34	0.27%	0.35%	0.19%	0.21%	0.23%	0.18%
35	0.28%	0.36%	0.2%	0.2%	0.22%	0.18%
36	0.3%	0.38%	0.21%	0.2%	0.22%	0.18%
37	0.31%	0.4%	0.22%	0.2%	0.22%	0.18%
38	0.33%	0.43%	0.24%	0.21%	0.24%	0.16%
39	0.35%	0.45%	0.25%	0.23%	0.27%	0.15%
40	0.37%	0.48%	0.27%	0.26%	0.32%	0.14%
41	0.4%	0.51%	0.29%	0.29%	0.39%	0.14%
42	0.43%	0.55%	0.3%	0.34%	0.45%	0.14%
43	0.46%	0.59%	0.33%	0.38%	0.52%	0.16%
44	0.49%	0.63%	0.35%	0.41%	0.57%	0.18%
45	0.53%	0.67%	0.38%	0.45%	0.61%	0.21%
46	0.57%	0.72%	0.41%	0.48%	0.64%	0.25%
47	0.61%	0.78%	0.45%	0.52%	0.67%	0.3%
48	0.66%	0.84%	0.48%	0.55%	0.7%	0.35%
49	0.72%	0.91%	0.52%	0.59%	0.73%	0.39%
50	0.78%	0.99%	0.57%	0.63%	0.78%	0.43%
51	0.84%	1.07%	0.62%	0.67%	0.84%	0.45%
52	0.91%	1.16%	0.67%	0.72%	0.92%	0.47%
53	0.98%	1.26%	0.72%	0.77%	1.01%	0.48%
54	1.07%	1.36%	0.78%	0.83%	1.11%	0.49%
55	1.15%	1.48%	0.85%	0.9%	1.2%	0.53%
56	1.25%	1.6%	0.92%	0.96%	1.31%	0.59%
57	1.36%	1.74%	1%	1.03%	1.42%	0.65%
58	1.48%	1.89%	1.09%	1.12%	1.54%	0.71%
59	1.61%	2.06%	1.2%	1.22%	1.68%	0.78%
60	1.76%	2.24%	1.32%	1.33%	1.82%	0.85%
61	1.91%	2.43%	1.45%	1.46%	1.98%	0.94%
62	2.09%	2.65%	1.6%	1.57%	2.15%	1.03%
63	2.28%	2.87%	1.76%	1.72%	2.34%	1.13%
64	2.49%	3.12%	1.94%	1.89%	2.55%	1.24%
65	2.71%	3.39%	2.14%	2.07%	2.77%	1.37%
66	2.96%	3.68%	2.37%	2.27%	3.01%	1.5%
67	3.24%	4%	2.62%	2.5%	3.27%	1.66%
68	3.56%	4.35%	2.91%	2.72%	3.56%	1.84%
69	3.91%	4.74%	3.24%	2.96%	3.87%	2.05%
70	4.29%	5.17%	3.6%	3.26%	4.2%	2.28%
71	4.72%	5.64%	4.01%	3.57%	4.58%	2.54%
72	5.18%	6.16%	4.44%	3.87%	4.98%	2.83%
73	5.69%	6.72%	4.92%	4.27%	5.43%	3.16%
74	6.24%	7.34%	5.44%	4.73%	5.91%	3.54%
75	6.84%	8.01%	6.02%	5.14%	6.44%	3.96%
76	7.51%	8.75%	6.67%	5.61%	7.02%	4.44%
77	8.27%	9.55%	7.4%	6.18%	7.65%	4.97%
78	9.11%	10.4%	8.22%	6.79%	8.35%	5.56%
79	10%	11.4%	9.15%	7.43%	9.1%	6.22%
80	11%	12.4%	10.2%	8.17%	9.92%	6.94%
81	12.1%	13.5%	11.2%	9.04%	10.8%	7.75%
82	13.2%	14.6%	12.3%	9.95%	11.8%	8.64%
83	14.4%	15.9%	13.5%	10.8%	12.8%	9.62%
84	15.6%	17.2%	14.6%	11.8%	13.9%	10.7%
85	16.9%	18.6%	15.9%	12.9%	15%	11.9%
86	18.3%	20.2%	17.3%	14.1%	16.3%	13.1%
87	19.9%	21.9%	18.8%	15.4%	17.6%	14.5%
88	21.7%	23.8%	20.6%	16.8%	19.1%	15.9%
89	23.7%	25.9%	22.6%	18.3%	20.6%	17.4%
90	25.8%	28%	24.7%	19.9%	22.2%	19%
91	27.9%	30.2%	26.8%	21.5%	23.9%	20.7%
92	29.9%	32.3%	28.9%	23.3%	25.7%	22.5%
93	31.9%	34.4%	30.9%	25%	27.5%	24.4%
94	33.8%	36.3%	32.9%	27%	29.3%	26.3%
95	35.6%	38.2%	34.7%	29%	31.1%	28.3%
96	37.4%	40%	36.6%	31%	32.9%	30.3%
97	39.3%	41.9%	38.5%	32.9%	34.8%	32.4%
98	41.2%	43.8%	40.5%	34.8%	36.7%	34.5%
99	43.2%	45.7%	42.6%	36.8%	38.6%	36.5%
100	45%	47.5%	44.5%	38.7%	40.4%	38.6%

Death rate by age in Myanmar compared to the Seychelles

In Myanmar, the most common age of death is 0, compared to 82 in the Seychelles. The median age of death is 73 in Myanmar and 76.9 in the Seychelles — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Myanmar			Seychelles
	Total	Male	Female	Total	Male	Female
0	3,244	3,744	2,712	989	1,078	897
1	256	255.7	256.4	72	70.2	73.9
2	210.3	227.6	191.8	58.7	59.2	58.2
3	175	203.2	144.8	48.3	50.1	46.4
4	147.5	181.6	111	40.2	42.6	37.7
5	126	162.5	87	34	36.6	31.3
6	109.4	145.7	70.4	29.3	31.8	26.6
7	96.5	131.3	59.3	25.9	28.3	23.4
8	87	119.6	52.1	23.7	26	21.2
9	80.4	110.7	48	22.3	24.8	19.7
10	76.6	105	46.2	21.6	24.6	18.4
11	75.7	103	46.5	21.6	25.7	17.2
12	77.7	104.8	48.7	22.4	28.4	16.1
13	82.8	110.9	52.7	24.1	32.9	15.1
14	90.9	121.4	58.4	27.2	39.8	14.5
15	101.9	136	65.4	32.1	49.5	14.5
16	115.3	154.3	73.6	39.1	62.3	15.6
17	130	174.8	82.1	48.4	78	18.1
18	144.9	196	90.4	60.1	95.4	23.2
19	158.9	216.1	97.8	73.7	112.8	31.7
20	170.8	233.2	104.2	88.1	128.3	44.6
21	180.2	246.2	109.7	102.8	139.7	62.5
22	186.7	254.4	114.4	116.3	146.7	81.4
23	190.7	258.2	118.7	125.9	149.6	96.7
24	193.1	259	122.8	130.5	150.1	105.1
25	194.6	258.2	126.8	131.4	150.6	105.5
26	196.3	257.4	131.2	132.5	153.1	102.2
27	198.5	257.6	135.6	135.7	159.5	99.5
28	201.8	259.6	140.2	142.5	170.8	100
29	206.4	263.9	145.2	153.9	186.1	104.9
30	212.2	270.3	150.5	168.5	203.1	114.5
31	219.5	278.7	156.6	181.6	216.9	127.8
32	227.9	288.6	163.2	192.4	224.3	143.2
33	237.2	299.8	170.6	198.9	223.3	158.4
34	247.6	312	178.8	199.1	216.4	170.4
35	258.9	326	187.9	196.7	208.8	176.8
36	271.5	341	197.8	194.7	205.5	176
37	285.5	357	208.7	195.7	210.7	169.2
38	301	376	220.5	202.7	227.9	158.5
39	318	398	233.3	219	259.5	147.2
40	337	421	247.4	244.2	305	138.4
41	358	447	263	279.2	362	134.7
42	381	475	280.5	322	425	137.7
43	406	506	300	358	484	148.9
44	434	539	322	387	531	169.6
45	464	574	347	420	566	199.9
46	497	613	373	450	589	239.3
47	533	655	403	477	608	284.8
48	572	701	435	505	630	330
49	615	752	469	538	658	370
50	661	807	506	571	696	401
51	710	866	545	606	746	422
52	763	929	587	648	807	433
53	818	995	631	690	876	441
54	877	1,065	678	735	950	452
55	940	1,140	730	788	1,023	488
56	1,008	1,218	786	833	1,097	538
57	1,080	1,301	847	886	1,177	587
58	1,159	1,389	916	960	1,262	638
59	1,244	1,483	993	1,034	1,350	697
60	1,335	1,580	1,078	1,112	1,443	760
61	1,430	1,680	1,170	1,197	1,540	827
62	1,531	1,782	1,269	1,276	1,641	900
63	1,635	1,884	1,377	1,368	1,745	979
64	1,743	1,987	1,492	1,479	1,852	1,063
65	1,856	2,089	1,615	1,591	1,962	1,152
66	1,972	2,192	1,748	1,712	2,074	1,250
67	2,094	2,295	1,891	1,838	2,187	1,363
68	2,221	2,397	2,045	1,951	2,300	1,486
69	2,352	2,499	2,207	2,068	2,412	1,620
70	2,485	2,597	2,376	2,209	2,522	1,764
71	2,614	2,688	2,546	2,337	2,630	1,920
72	2,735	2,769	2,711	2,447	2,732	2,088
73	2,846	2,836	2,869	2,597	2,827	2,268
74	2,944	2,888	3,017	2,749	2,912	2,458
75	3,029	2,921	3,155	2,849	2,984	2,654
76	3,098	2,933	3,283	2,950	3,044	2,856
77	3,153	2,923	3,401	3,067	3,086	3,057
78	3,189	2,887	3,502	3,160	3,108	3,250
79	3,192	2,822	3,575	3,223	3,105	3,431
80	3,158	2,726	3,606	3,281	3,076	3,592
81	3,081	2,597	3,582	3,334	3,018	3,731
82	2,956	2,439	3,493	3,340	2,930	3,837
83	2,789	2,255	3,344	3,271	2,810	3,905
84	2,589	2,054	3,145	3,174	2,661	3,924
85	2,367	1,842	2,913	3,058	2,485	3,888
86	2,134	1,626	2,663	2,914	2,288	3,791
87	1,896	1,410	2,402	2,739	2,073	3,631
88	1,656	1,197	2,133	2,531	1,846	3,411
89	1,414	991	1,855	2,297	1,614	3,141
90	1,175	796	1,570	2,036	1,382	2,831
91	944	617	1,286	1,763	1,157	2,495
92	732	461	1,015	1,496	946	2,150
93	547	331	772	1,235	753	1,806
94	394	229.7	566	997	581	1,474
95	274.8	153.9	401	784	436	1,168
96	186	99.7	276.3	595	318	898
97	122.1	62.6	184.4	435	225.8	668
98	77.7	38	119.3	309	155.2	481
99	47.8	22.3	74.5	212.5	103.2	334
100	0	0	0	38.3	0	84.8

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Myanmar and the Seychelles demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Myanmar vs Seychelles: Profiles in Numbers

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size