Life Expectancy in Myanmar vs South Africa (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 South Africa: 72 years vs 70.5 at 30, 78.4 vs 80.7 at 65, 85.7 vs 88.7 at 80 — significantly higher than the 67.3 vs 66.5 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 South Africa.

Table

Current age, years	Total life expectancy, years
	Myanmar			South Africa
	Average	Male	Female	Average	Male	Female
0	67.3	64.2	70.6	66.5	63	70
1	69.6	66.7	72.6	68	64.6	71.4
2	69.7	66.8	72.7	68.2	64.8	71.6
3	69.9	67	72.9	68.4	65	71.8
4	70	67.1	73	68.5	65.1	71.8
5	70.1	67.3	73.1	68.6	65.1	71.9
6	70.2	67.4	73.1	68.6	65.2	71.9
7	70.3	67.5	73.2	68.6	65.2	72
8	70.3	67.5	73.2	68.7	65.3	72
9	70.4	67.6	73.3	68.7	65.3	72
10	70.4	67.7	73.3	68.7	65.3	72
11	70.5	67.7	73.3	68.7	65.3	72
12	70.5	67.8	73.3	68.8	65.4	72.1
13	70.6	67.9	73.4	68.8	65.4	72.1
14	70.6	67.9	73.4	68.8	65.4	72.1
15	70.7	68	73.4	68.9	65.5	72.2
16	70.7	68.1	73.5	68.9	65.5	72.2
17	70.8	68.2	73.5	69	65.6	72.3
18	70.9	68.3	73.6	69	65.7	72.3
19	71	68.4	73.6	69.1	65.8	72.4
20	71	68.5	73.7	69.2	65.8	72.4
21	71.1	68.6	73.7	69.3	66	72.5
22	71.2	68.7	73.8	69.4	66.1	72.6
23	71.3	68.8	73.9	69.5	66.2	72.7
24	71.4	69	73.9	69.6	66.3	72.8
25	71.5	69.1	74	69.7	66.5	72.9
26	71.6	69.2	74.1	69.9	66.7	73
27	71.7	69.3	74.1	70	66.8	73.1
28	71.8	69.5	74.2	70.2	67	73.2
29	71.9	69.6	74.3	70.3	67.2	73.4
30	72	69.7	74.3	70.5	67.4	73.5
31	72.1	69.8	74.4	70.7	67.6	73.7
32	72.2	69.9	74.5	70.9	67.8	73.8
33	72.3	70	74.5	71.1	68	74
34	72.4	70.2	74.6	71.3	68.2	74.2
35	72.5	70.3	74.7	71.5	68.4	74.4
36	72.6	70.4	74.8	71.7	68.6	74.5
37	72.7	70.5	74.8	71.9	68.9	74.7
38	72.8	70.7	74.9	72.1	69.1	74.9
39	72.9	70.8	75	72.3	69.4	75.1
40	73	71	75.1	72.6	69.6	75.3
41	73.2	71.1	75.2	72.8	69.9	75.6
42	73.3	71.3	75.3	73.1	70.1	75.8
43	73.4	71.4	75.4	73.3	70.4	76
44	73.6	71.6	75.5	73.6	70.7	76.2
45	73.7	71.8	75.6	73.8	70.9	76.4
46	73.9	71.9	75.7	74.1	71.2	76.7
47	74	72.1	75.8	74.4	71.5	76.9
48	74.2	72.3	76	74.6	71.9	77.1
49	74.3	72.5	76.1	74.9	72.2	77.4
50	74.5	72.7	76.3	75.2	72.5	77.6
51	74.7	73	76.4	75.5	72.9	77.9
52	74.9	73.2	76.6	75.8	73.2	78.1
53	75.1	73.4	76.7	76.2	73.6	78.3
54	75.3	73.7	76.9	76.5	73.9	78.6
55	75.6	73.9	77.1	76.8	74.3	78.9
56	75.8	74.2	77.2	77.2	74.7	79.2
57	76	74.5	77.4	77.5	75.1	79.4
58	76.3	74.8	77.6	77.9	75.6	79.7
59	76.6	75.1	77.8	78.2	76	80
60	76.8	75.5	78.1	78.6	76.5	80.3
61	77.1	75.8	78.3	79	76.9	80.7
62	77.4	76.2	78.6	79.4	77.4	81
63	77.8	76.5	78.8	79.8	77.9	81.3
64	78.1	76.9	79.1	80.2	78.4	81.7
65	78.4	77.3	79.4	80.7	78.9	82
66	78.8	77.7	79.7	81.1	79.4	82.4
67	79.2	78.1	80	81.6	79.9	82.8
68	79.6	78.6	80.3	82.1	80.5	83.2
69	80	79.1	80.7	82.6	81.1	83.6
70	80.4	79.5	81.1	83.1	81.6	84
71	80.8	80	81.5	83.6	82.2	84.5
72	81.3	80.5	81.9	84.1	82.8	84.9
73	81.8	81.1	82.3	84.6	83.4	85.4
74	82.3	81.6	82.8	85.2	84	85.8
75	82.8	82.2	83.2	85.7	84.7	86.3
76	83.3	82.7	83.7	86.3	85.3	86.9
77	83.9	83.3	84.3	86.9	86	87.4
78	84.5	84	84.8	87.5	86.7	87.9
79	85.1	84.6	85.4	88.1	87.3	88.5
80	85.7	85.2	86	88.7	88	89.1
81	86.3	85.9	86.6	89.4	88.7	89.7
82	87	86.6	87.2	90	89.4	90.2
83	87.7	87.3	87.9	90.6	90.1	90.8
84	88.4	88	88.6	91.2	90.8	91.4
85	89.1	88.8	89.2	91.9	91.5	92.1
86	89.8	89.5	90	92.6	92.2	92.7
87	90.5	90.3	90.7	93.2	92.9	93.4
88	91.3	91	91.4	93.9	93.7	94.1
89	92.1	91.8	92.2	94.7	94.4	94.7
90	92.8	92.6	93	95.4	95.2	95.5
91	93.7	93.5	93.8	96.1	96	96.2
92	94.5	94.3	94.6	96.9	96.7	96.9
93	95.4	95.2	95.4	97.6	97.5	97.6
94	96.2	96.1	96.3	98.4	98.3	98.4
95	97.1	97	97.2	99.2	99.1	99.2
96	98	97.9	98	100	99.9	100
97	98.9	98.8	98.9	100.8	100.7	100.8
98	99.8	99.7	99.8	101.6	101.5	101.7
99	100.7	100.6	100.7	102.5	102.3	102.6
100	101.7	101.5	101.7	103.4	103.1	103.5

Odds of living to age in Myanmar vs South Africa

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 76.1% in Myanmar and 68.4% in South Africa are expected to survive till at least 60 years old, 57.9% and 51.3% will live to 70 years or older, 28.6% and 30% to 80+ years, and 4.56% and 11.2% 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			South Africa
	Average	Male	Female	Average	Male	Female
1	96.8%	96.3%	97.3%	97.8%	97.5%	98%
2	96.5%	96%	97%	97.4%	97.1%	97.7%
3	96.3%	95.8%	96.8%	97.2%	96.9%	97.5%
4	96.1%	95.6%	96.7%	97%	96.7%	97.4%
5	96%	95.4%	96.6%	96.9%	96.6%	97.3%
6	95.8%	95.2%	96.5%	96.9%	96.5%	97.2%
7	95.7%	95.1%	96.4%	96.8%	96.5%	97.2%
8	95.6%	94.9%	96.4%	96.8%	96.4%	97.2%
9	95.5%	94.8%	96.3%	96.7%	96.4%	97.1%
10	95.5%	94.7%	96.3%	96.7%	96.3%	97.1%
11	95.4%	94.6%	96.2%	96.7%	96.3%	97.1%
12	95.3%	94.5%	96.2%	96.6%	96.2%	97%
13	95.2%	94.4%	96.1%	96.6%	96.2%	97%
14	95.2%	94.3%	96.1%	96.5%	96.1%	96.9%
15	95.1%	94.2%	96%	96.4%	96%	96.9%
16	95%	94%	95.9%	96.4%	95.9%	96.8%
17	94.8%	93.9%	95.9%	96.3%	95.8%	96.7%
18	94.7%	93.7%	95.8%	96.1%	95.6%	96.6%
19	94.6%	93.5%	95.7%	96%	95.5%	96.5%
20	94.4%	93.3%	95.6%	95.8%	95.3%	96.4%
21	94.2%	93.1%	95.5%	95.6%	95.1%	96.3%
22	94.1%	92.8%	95.4%	95.4%	94.8%	96.1%
23	93.9%	92.6%	95.3%	95.2%	94.5%	95.9%
24	93.7%	92.3%	95.2%	95%	94.2%	95.8%
25	93.5%	92%	95%	94.7%	93.9%	95.6%
26	93.3%	91.8%	94.9%	94.4%	93.5%	95.3%
27	93.1%	91.5%	94.8%	94.1%	93.1%	95.1%
28	92.9%	91.3%	94.6%	93.7%	92.7%	94.8%
29	92.7%	91%	94.5%	93.4%	92.3%	94.5%
30	92.5%	90.7%	94.4%	93%	91.8%	94.2%
31	92.3%	90.5%	94.2%	92.6%	91.3%	93.9%
32	92.1%	90.2%	94%	92.1%	90.8%	93.5%
33	91.8%	89.9%	93.9%	91.7%	90.3%	93.1%
34	91.6%	89.6%	93.7%	91.2%	89.7%	92.7%
35	91.3%	89.3%	93.5%	90.7%	89.1%	92.3%
36	91.1%	89%	93.3%	90.2%	88.5%	91.9%
37	90.8%	88.6%	93.2%	89.6%	87.9%	91.4%
38	90.5%	88.3%	92.9%	89.1%	87.2%	90.9%
39	90.2%	87.9%	92.7%	88.5%	86.5%	90.4%
40	89.9%	87.5%	92.5%	87.9%	85.8%	89.9%
41	89.6%	87.1%	92.2%	87.2%	85.1%	89.4%
42	89.2%	86.6%	92%	86.5%	84.3%	88.8%
43	88.8%	86.2%	91.7%	85.8%	83.5%	88.2%
44	88.4%	85.7%	91.4%	85.1%	82.6%	87.6%
45	88%	85.1%	91.1%	84.3%	81.8%	87%
46	87.5%	84.5%	90.7%	83.5%	80.8%	86.3%
47	87%	83.9%	90.4%	82.7%	79.8%	85.7%
48	86.5%	83.3%	90%	81.9%	78.8%	85%
49	85.9%	82.6%	89.5%	81%	77.7%	84.3%
50	85.3%	81.8%	89%	80.1%	76.6%	83.6%
51	84.7%	81%	88.5%	79.1%	75.4%	82.9%
52	83.9%	80.1%	88%	78.1%	74.2%	82.1%
53	83.2%	79.2%	87.4%	77.1%	72.9%	81.3%
54	82.4%	78.2%	86.8%	76%	71.6%	80.5%
55	81.5%	77.2%	86.1%	74.8%	70.2%	79.6%
56	80.5%	76%	85.4%	73.6%	68.7%	78.7%
57	79.5%	74.8%	84.6%	72.4%	67.2%	77.7%
58	78.5%	73.5%	83.7%	71.1%	65.6%	76.6%
59	77.3%	72.1%	82.8%	69.8%	64%	75.6%
60	76.1%	70.6%	81.8%	68.4%	62.3%	74.4%
61	74.7%	69%	80.7%	66.9%	60.6%	73.3%
62	73.3%	67.4%	79.6%	65.5%	58.8%	72.1%
63	71.8%	65.6%	78.3%	63.9%	57%	70.8%
64	70.1%	63.7%	76.9%	62.3%	55.1%	69.5%
65	68.4%	61.7%	75.4%	60.6%	53.1%	68%
66	66.5%	59.6%	73.8%	58.9%	51.1%	66.5%
67	64.6%	57.4%	72.1%	57.1%	49%	64.9%
68	62.5%	55.1%	70.2%	55.2%	46.9%	63.3%
69	60.2%	52.7%	68.1%	53.2%	44.8%	61.5%
70	57.9%	50.2%	65.9%	51.3%	42.7%	59.7%
71	55.4%	47.6%	63.6%	49.3%	40.6%	57.9%
72	52.8%	45%	61%	47.3%	38.4%	55.9%
73	50.1%	42.2%	58.3%	45.2%	36.3%	53.9%
74	47.2%	39.3%	55.4%	43.1%	34.2%	51.8%
75	44.3%	36.5%	52.4%	40.9%	32.1%	49.7%
76	41.2%	33.5%	49.3%	38.7%	29.9%	47.4%
77	38.1%	30.6%	46%	36.5%	27.8%	45.1%
78	35%	27.7%	42.6%	34.3%	25.7%	42.7%
79	31.8%	24.8%	39.1%	32.1%	23.7%	40.3%
80	28.6%	22%	35.5%	30%	21.8%	37.9%
81	25.4%	19.2%	31.9%	27.9%	20%	35.5%
82	22.4%	16.7%	28.3%	25.8%	18.3%	33.1%
83	19.4%	14.2%	24.8%	23.8%	16.7%	30.8%
84	16.6%	12%	21.5%	21.9%	15.1%	28.4%
85	14%	9.9%	18.3%	20%	13.6%	26.1%
86	11.7%	8.06%	15.4%	18.1%	12.1%	23.7%
87	9.53%	6.44%	12.8%	16.2%	10.7%	21.5%
88	7.63%	5.03%	10.4%	14.5%	9.42%	19.2%
89	5.98%	3.83%	8.22%	12.8%	8.21%	17.1%
90	4.56%	2.84%	6.36%	11.2%	7.1%	15.1%
91	3.39%	2.04%	4.79%	9.76%	6.1%	13.2%
92	2.44%	1.42%	3.51%	8.41%	5.2%	11.4%
93	1.71%	0.96%	2.49%	7.16%	4.38%	9.73%
94	1.17%	0.63%	1.72%	6.02%	3.66%	8.21%
95	0.77%	0.4%	1.16%	5%	3.03%	6.83%
96	0.5%	0.25%	0.75%	4.1%	2.47%	5.6%
97	0.31%	0.15%	0.48%	3.32%	2%	4.54%
98	0.19%	0.09%	0.29%	2.65%	1.6%	3.62%
99	0.11%	0.05%	0.17%	2.08%	1.26%	2.84%
100	0.06%	0.03%	0.1%	1.61%	0.99%	2.19%

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 2.24% in South Africa, 0.23% vs 0.45% at age 30, 1.76% vs 2.1% at 60, and 11% vs 6.98% at 80.

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

Table

Age	Probability of dying
	Myanmar			South Africa
	Average	Male	Female	Average	Male	Female
0	3.24%	3.74%	2.71%	2.24%	2.49%	1.98%
1	0.26%	0.27%	0.26%	0.36%	0.39%	0.32%
2	0.22%	0.24%	0.2%	0.23%	0.26%	0.2%
3	0.18%	0.21%	0.15%	0.15%	0.17%	0.13%
4	0.15%	0.19%	0.11%	0.1%	0.12%	0.08%
5	0.13%	0.17%	0.09%	0.07%	0.08%	0.06%
6	0.11%	0.15%	0.07%	0.05%	0.06%	0.04%
7	0.1%	0.14%	0.06%	0.04%	0.05%	0.04%
8	0.09%	0.13%	0.05%	0.04%	0.05%	0.03%
9	0.08%	0.12%	0.05%	0.04%	0.05%	0.03%
10	0.08%	0.11%	0.05%	0.04%	0.05%	0.03%
11	0.08%	0.11%	0.05%	0.05%	0.05%	0.04%
12	0.08%	0.11%	0.05%	0.05%	0.06%	0.04%
13	0.09%	0.12%	0.05%	0.06%	0.07%	0.05%
14	0.1%	0.13%	0.06%	0.07%	0.09%	0.06%
15	0.11%	0.14%	0.07%	0.09%	0.11%	0.07%
16	0.12%	0.16%	0.08%	0.11%	0.13%	0.09%
17	0.14%	0.19%	0.09%	0.13%	0.15%	0.1%
18	0.15%	0.21%	0.09%	0.15%	0.18%	0.12%
19	0.17%	0.23%	0.1%	0.17%	0.21%	0.13%
20	0.18%	0.25%	0.11%	0.19%	0.24%	0.14%
21	0.19%	0.26%	0.11%	0.21%	0.27%	0.15%
22	0.2%	0.27%	0.12%	0.23%	0.3%	0.17%
23	0.2%	0.28%	0.12%	0.26%	0.33%	0.19%
24	0.21%	0.28%	0.13%	0.28%	0.36%	0.21%
25	0.21%	0.28%	0.13%	0.31%	0.39%	0.23%
26	0.21%	0.28%	0.14%	0.34%	0.42%	0.26%
27	0.21%	0.28%	0.14%	0.37%	0.45%	0.29%
28	0.22%	0.28%	0.15%	0.39%	0.48%	0.31%
29	0.22%	0.29%	0.15%	0.42%	0.5%	0.34%
30	0.23%	0.3%	0.16%	0.45%	0.53%	0.36%
31	0.24%	0.31%	0.17%	0.47%	0.56%	0.39%
32	0.25%	0.32%	0.17%	0.5%	0.59%	0.41%
33	0.26%	0.33%	0.18%	0.52%	0.62%	0.43%
34	0.27%	0.35%	0.19%	0.55%	0.65%	0.45%
35	0.28%	0.36%	0.2%	0.58%	0.68%	0.47%
36	0.3%	0.38%	0.21%	0.6%	0.72%	0.5%
37	0.31%	0.4%	0.22%	0.64%	0.75%	0.52%
38	0.33%	0.43%	0.24%	0.67%	0.79%	0.55%
39	0.35%	0.45%	0.25%	0.7%	0.83%	0.58%
40	0.37%	0.48%	0.27%	0.74%	0.87%	0.61%
41	0.4%	0.51%	0.29%	0.77%	0.91%	0.63%
42	0.43%	0.55%	0.3%	0.81%	0.96%	0.66%
43	0.46%	0.59%	0.33%	0.85%	1.02%	0.69%
44	0.49%	0.63%	0.35%	0.89%	1.08%	0.71%
45	0.53%	0.67%	0.38%	0.94%	1.14%	0.74%
46	0.57%	0.72%	0.41%	0.99%	1.21%	0.76%
47	0.61%	0.78%	0.45%	1.03%	1.29%	0.79%
48	0.66%	0.84%	0.48%	1.08%	1.36%	0.81%
49	0.72%	0.91%	0.52%	1.14%	1.45%	0.84%
50	0.78%	0.99%	0.57%	1.2%	1.53%	0.88%
51	0.84%	1.07%	0.62%	1.26%	1.63%	0.92%
52	0.91%	1.16%	0.67%	1.33%	1.73%	0.97%
53	0.98%	1.26%	0.72%	1.41%	1.84%	1.03%
54	1.07%	1.36%	0.78%	1.5%	1.96%	1.1%
55	1.15%	1.48%	0.85%	1.59%	2.08%	1.17%
56	1.25%	1.6%	0.92%	1.69%	2.21%	1.25%
57	1.36%	1.74%	1%	1.79%	2.35%	1.33%
58	1.48%	1.89%	1.09%	1.88%	2.48%	1.4%
59	1.61%	2.06%	1.2%	1.99%	2.63%	1.48%
60	1.76%	2.24%	1.32%	2.1%	2.78%	1.56%
61	1.91%	2.43%	1.45%	2.22%	2.94%	1.66%
62	2.09%	2.65%	1.6%	2.36%	3.13%	1.76%
63	2.28%	2.87%	1.76%	2.52%	3.33%	1.89%
64	2.49%	3.12%	1.94%	2.7%	3.56%	2.04%
65	2.71%	3.39%	2.14%	2.89%	3.81%	2.21%
66	2.96%	3.68%	2.37%	3.1%	4.05%	2.38%
67	3.24%	4%	2.62%	3.3%	4.29%	2.57%
68	3.56%	4.35%	2.91%	3.5%	4.52%	2.75%
69	3.91%	4.74%	3.24%	3.69%	4.74%	2.94%
70	4.29%	5.17%	3.6%	3.89%	4.96%	3.13%
71	4.72%	5.64%	4.01%	4.11%	5.21%	3.34%
72	5.18%	6.16%	4.44%	4.36%	5.51%	3.59%
73	5.69%	6.72%	4.92%	4.66%	5.85%	3.87%
74	6.24%	7.34%	5.44%	5%	6.24%	4.19%
75	6.84%	8.01%	6.02%	5.36%	6.66%	4.55%
76	7.51%	8.75%	6.67%	5.72%	7.07%	4.92%
77	8.27%	9.55%	7.4%	6.07%	7.44%	5.28%
78	9.11%	10.4%	8.22%	6.39%	7.75%	5.63%
79	10%	11.4%	9.15%	6.68%	8.02%	5.97%
80	11%	12.4%	10.2%	6.98%	8.28%	6.31%
81	12.1%	13.5%	11.2%	7.32%	8.59%	6.69%
82	13.2%	14.6%	12.3%	7.73%	8.99%	7.13%
83	14.4%	15.9%	13.5%	8.22%	9.48%	7.64%
84	15.6%	17.2%	14.6%	8.79%	10.1%	8.24%
85	16.9%	18.6%	15.9%	9.44%	10.7%	8.91%
86	18.3%	20.2%	17.3%	10.1%	11.4%	9.62%
87	19.9%	21.9%	18.8%	10.9%	12.2%	10.4%
88	21.7%	23.8%	20.6%	11.6%	12.8%	11.1%
89	23.7%	25.9%	22.6%	12.3%	13.5%	11.9%
90	25.8%	28%	24.7%	13.1%	14.1%	12.7%
91	27.9%	30.2%	26.8%	13.9%	14.8%	13.5%
92	29.9%	32.3%	28.9%	14.8%	15.6%	14.5%
93	31.9%	34.4%	30.9%	15.9%	16.5%	15.7%
94	33.8%	36.3%	32.9%	17%	17.4%	16.8%
95	35.6%	38.2%	34.7%	18%	18.3%	17.9%
96	37.4%	40%	36.6%	19.1%	19.1%	19%
97	39.3%	41.9%	38.5%	20.2%	20%	20.2%
98	41.2%	43.8%	40.5%	21.4%	21%	21.5%
99	43.2%	45.7%	42.6%	22.6%	22%	22.8%
100	45%	47.5%	44.5%	23.7%	22.9%	24%

Death rate by age in Myanmar compared to South Africa

In Myanmar, the most common age of death is 0, compared to 0 in South Africa. The median age of death is 73 in Myanmar and 70.6 in South Africa — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Myanmar			South Africa
	Total	Male	Female	Total	Male	Female
0	3,244	3,744	2,712	2,237	2,486	1,980
1	256	255.7	256.4	350	381	318
2	210.3	227.6	191.8	223.1	248.2	197
3	175	203.2	144.8	144.6	164.2	124.6
4	147.5	181.6	111	97.1	112.3	81.9
5	126	162.5	87	68.6	80.4	56.7
6	109.4	145.7	70.4	52.2	61.7	42.6
7	96.5	131.3	59.3	43	51.1	34.9
8	87	119.6	52.1	38.7	46	31.3
9	80.4	110.7	48	37.7	44.7	30.6
10	76.6	105	46.2	39.5	46.6	32.3
11	75.7	103	46.5	43.8	51.4	36.1
12	77.7	104.8	48.7	50.6	59.1	42.1
13	82.8	110.9	52.7	60.1	69.9	50.1
14	90.9	121.4	58.4	72.1	83.9	60.1
15	101.9	136	65.4	86.6	101.1	71.8
16	115.3	154.3	73.6	103.3	121.6	84.7
17	130	174.8	82.1	121.8	145	98.1
18	144.9	196	90.4	141.2	170.5	111.2
19	158.9	216.1	97.8	161.1	197.4	123.8
20	170.8	233.2	104.2	181.2	225.1	136
21	180.2	246.2	109.7	201.9	253.1	148.7
22	186.7	254.4	114.4	223.3	281.1	163
23	190.7	258.2	118.7	245.8	309	179.6
24	193.1	259	122.8	269.3	336	199.1
25	194.6	258.2	126.8	293.9	364	221.6
26	196.3	257.4	131.2	319	390	246.3
27	198.5	257.6	135.6	345	416	271.9
28	201.8	259.6	140.2	369	440	296.8
29	206.4	263.9	145.2	392	464	320
30	212.2	270.3	150.5	414	487	342
31	219.5	278.7	156.6	436	510	361
32	227.9	288.6	163.2	457	534	380
33	237.2	299.8	170.6	478	558	398
34	247.6	312	178.8	500	582	417
35	258.9	326	187.9	522	607	436
36	271.5	341	197.8	545	633	456
37	285.5	357	208.7	569	659	477
38	301	376	220.5	594	687	499
39	318	398	233.3	620	715	522
40	337	421	247.4	646	744	545
41	358	447	263	674	776	567
42	381	475	280.5	702	811	588
43	406	506	300	731	849	607
44	434	539	322	762	890	625
45	464	574	347	793	934	642
46	497	613	373	824	980	658
47	533	655	403	855	1,027	674
48	572	701	435	888	1,076	692
49	615	752	469	922	1,125	712
50	661	807	506	958	1,175	736
51	710	866	545	997	1,228	765
52	763	929	587	1,041	1,283	800
53	818	995	631	1,088	1,340	840
54	877	1,065	678	1,139	1,400	885
55	940	1,140	730	1,192	1,462	934
56	1,008	1,218	786	1,243	1,521	983
57	1,080	1,301	847	1,292	1,577	1,030
58	1,159	1,389	916	1,340	1,630	1,076
59	1,244	1,483	993	1,386	1,680	1,120
60	1,335	1,580	1,078	1,433	1,730	1,165
61	1,430	1,680	1,170	1,484	1,782	1,214
62	1,531	1,782	1,269	1,543	1,838	1,271
63	1,635	1,884	1,377	1,609	1,899	1,340
64	1,743	1,987	1,492	1,680	1,963	1,417
65	1,856	2,089	1,615	1,754	2,022	1,502
66	1,972	2,192	1,748	1,823	2,071	1,587
67	2,094	2,295	1,891	1,882	2,104	1,668
68	2,221	2,397	2,045	1,929	2,119	1,741
69	2,352	2,499	2,207	1,964	2,122	1,808
70	2,485	2,597	2,376	1,993	2,118	1,871
71	2,614	2,688	2,546	2,025	2,115	1,935
72	2,735	2,769	2,711	2,063	2,116	2,006
73	2,846	2,836	2,869	2,107	2,124	2,087
74	2,944	2,888	3,017	2,153	2,133	2,173
75	3,029	2,921	3,155	2,193	2,135	2,258
76	3,098	2,933	3,283	2,217	2,116	2,330
77	3,153	2,923	3,401	2,218	2,070	2,380
78	3,189	2,887	3,502	2,191	1,995	2,403
79	3,192	2,822	3,575	2,146	1,904	2,403
80	3,158	2,726	3,606	2,092	1,808	2,390
81	3,081	2,597	3,582	2,041	1,721	2,374
82	2,956	2,439	3,493	1,997	1,646	2,361
83	2,789	2,255	3,344	1,960	1,580	2,352
84	2,589	2,054	3,145	1,925	1,519	2,341
85	2,367	1,842	2,913	1,885	1,457	2,322
86	2,134	1,626	2,663	1,833	1,386	2,285
87	1,896	1,410	2,402	1,763	1,304	2,224
88	1,656	1,197	2,133	1,675	1,210	2,135
89	1,414	991	1,855	1,575	1,108	2,030
90	1,175	796	1,570	1,466	1,005	1,909
91	944	617	1,286	1,353	904	1,779
92	732	461	1,015	1,247	811	1,656
93	547	331	772	1,138	722	1,526
94	394	229.7	566	1,022	636	1,380
95	274.8	153.9	401	901	552	1,223
96	186	99.7	276.3	781	473	1,066
97	122.1	62.6	184.4	670	401	918
98	77.7	38	119.3	566	336	778
99	47.8	22.3	74.5	470	277.7	647
100	0	0	0	354	202.1	494

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 South Africa 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 South Africa: Statistical Insights

By topic vs comparisons:

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