Life Expectancy in Myanmar vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

Myanmar

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	Myanmar			South Africa
	Average	Male	Female	Average	Male	Female
100	101.7	101.6	101.7	103.4	103.1	103.5
99	100.7	100.6	100.7	102.5	102.3	102.6
98	99.8	99.7	99.8	101.7	101.5	101.7
97	98.9	98.8	98.9	100.8	100.7	100.9
96	98	97.9	98	100	99.9	100
95	97.1	97	97.2	99.2	99.1	99.2
94	96.2	96.1	96.3	98.4	98.3	98.4
93	95.4	95.2	95.4	97.6	97.5	97.7
92	94.5	94.3	94.6	96.9	96.7	96.9
91	93.7	93.5	93.8	96.1	96	96.2
90	92.9	92.6	93	95.4	95.2	95.5
89	92.1	91.8	92.2	94.7	94.4	94.8
88	91.3	91	91.4	94	93.7	94.1
87	90.5	90.3	90.7	93.3	92.9	93.4
86	89.8	89.5	90	92.6	92.2	92.7
85	89.1	88.8	89.3	91.9	91.5	92.1
84	88.4	88	88.6	91.3	90.8	91.5
83	87.7	87.3	87.9	90.6	90.1	90.9
82	87	86.6	87.2	90	89.4	90.3
81	86.3	85.9	86.6	89.4	88.7	89.7
80	85.7	85.3	86	88.8	88	89.1
79	85.1	84.6	85.4	88.1	87.4	88.5
78	84.5	84	84.8	87.5	86.7	88
77	83.9	83.4	84.3	86.9	86	87.4
76	83.3	82.8	83.8	86.3	85.3	86.9
75	82.8	82.2	83.3	85.7	84.7	86.4
74	82.3	81.6	82.8	85.2	84	85.9
73	81.8	81.1	82.3	84.6	83.4	85.4
72	81.3	80.5	81.9	84.1	82.8	84.9
71	80.9	80	81.5	83.6	82.2	84.5
70	80.4	79.5	81.1	83.1	81.7	84.1
69	80	79.1	80.7	82.6	81.1	83.6
68	79.6	78.6	80.4	82.1	80.5	83.2
67	79.2	78.2	80	81.6	80	82.8
66	78.8	77.7	79.7	81.2	79.4	82.4
65	78.5	77.3	79.4	80.7	78.9	82.1
64	78.1	76.9	79.1	80.3	78.4	81.7
63	77.8	76.6	78.9	79.9	77.9	81.4
62	77.5	76.2	78.6	79.4	77.4	81
61	77.2	75.8	78.4	79	76.9	80.7
60	76.9	75.5	78.1	78.7	76.5	80.4
59	76.6	75.2	77.9	78.3	76	80.1
58	76.3	74.8	77.7	77.9	75.6	79.8
57	76.1	74.5	77.5	77.5	75.2	79.5
56	75.8	74.3	77.3	77.2	74.8	79.2
55	75.6	74	77.1	76.9	74.4	78.9
54	75.4	73.7	76.9	76.5	74	78.7
53	75.2	73.5	76.8	76.2	73.6	78.4
52	75	73.2	76.6	75.9	73.3	78.2
51	74.8	73	76.5	75.6	72.9	77.9
50	74.6	72.8	76.3	75.3	72.6	77.7
49	74.4	72.6	76.2	75	72.2	77.4
48	74.2	72.4	76	74.7	71.9	77.2
47	74.1	72.2	75.9	74.4	71.6	77
46	73.9	72	75.8	74.2	71.3	76.7
45	73.8	71.8	75.7	73.9	71	76.5
44	73.6	71.6	75.6	73.6	70.7	76.3
43	73.5	71.5	75.5	73.4	70.4	76.1
42	73.4	71.3	75.4	73.1	70.2	75.8
41	73.2	71.2	75.3	72.9	69.9	75.6
40	73.1	71	75.2	72.6	69.7	75.4
39	73	70.9	75.1	72.4	69.4	75.2
38	72.9	70.8	75	72.2	69.2	75
37	72.8	70.6	74.9	72	68.9	74.8
36	72.7	70.5	74.9	71.8	68.7	74.6
35	72.6	70.4	74.8	71.6	68.5	74.5
34	72.5	70.2	74.7	71.4	68.3	74.3
33	72.4	70.1	74.6	71.2	68.1	74.1
32	72.3	70	74.6	71	67.9	73.9
31	72.2	69.9	74.5	70.8	67.7	73.8
30	72.1	69.8	74.4	70.6	67.5	73.6
29	72	69.7	74.4	70.4	67.3	73.5
28	71.9	69.5	74.3	70.3	67.1	73.3
27	71.8	69.4	74.2	70.1	66.9	73.2
26	71.7	69.3	74.2	70	66.8	73.1
25	71.6	69.2	74.1	69.9	66.6	73
24	71.5	69.1	74	69.7	66.5	72.9
23	71.4	68.9	74	69.6	66.3	72.8
22	71.3	68.8	73.9	69.5	66.2	72.7
21	71.2	68.7	73.9	69.4	66.1	72.6
20	71.2	68.6	73.8	69.3	66	72.6
19	71.1	68.5	73.7	69.2	65.9	72.5
18	71	68.4	73.7	69.2	65.8	72.4
17	70.9	68.3	73.6	69.1	65.7	72.4
16	70.9	68.2	73.6	69	65.7	72.3
15	70.8	68.1	73.6	69	65.6	72.3
14	70.7	68	73.5	68.9	65.6	72.3
13	70.7	68	73.5	68.9	65.5	72.2
12	70.7	67.9	73.5	68.9	65.5	72.2
11	70.6	67.9	73.4	68.9	65.5	72.2
10	70.6	67.8	73.4	68.8	65.4	72.2
9	70.5	67.7	73.4	68.8	65.4	72.1
8	70.5	67.7	73.3	68.8	65.4	72.1
7	70.4	67.6	73.3	68.8	65.4	72.1
6	70.3	67.5	73.3	68.7	65.3	72.1
5	70.2	67.4	73.2	68.7	65.3	72
4	70.1	67.3	73.1	68.6	65.2	72
3	70	67.1	73	68.5	65.1	71.9
2	69.9	67	72.9	68.4	64.9	71.8
1	69.7	66.8	72.7	68.1	64.7	71.5
0	67.5	64.4	70.8	66.7	63.1	70.2

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 Myanmar can expect to live to 72.1 years compared to 70.6 in South Africa, rising to 78.5 and 80.7 at 65, and to 85.7 and 88.8 at 80 — higher than the 67.5 and 66.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Myanmar

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	Myanmar			South Africa
	Average	Male	Female	Average	Male	Female
100	0.06%	0.03%	0.1%	1.63%	1%	2.22%
99	0.11%	0.05%	0.18%	2.11%	1.28%	2.88%
98	0.19%	0.09%	0.3%	2.68%	1.62%	3.67%
97	0.32%	0.15%	0.49%	3.36%	2.02%	4.59%
96	0.51%	0.25%	0.77%	4.15%	2.5%	5.67%
95	0.79%	0.41%	1.18%	5.06%	3.06%	6.91%
94	1.19%	0.64%	1.76%	6.09%	3.7%	8.3%
93	1.74%	0.98%	2.54%	7.24%	4.43%	9.84%
92	2.49%	1.45%	3.57%	8.49%	5.25%	11.5%
91	3.44%	2.07%	4.87%	9.86%	6.16%	13.3%
90	4.63%	2.88%	6.46%	11.3%	7.18%	15.2%
89	6.06%	3.88%	8.34%	12.9%	8.29%	17.3%
88	7.74%	5.09%	10.5%	14.6%	9.51%	19.4%
87	9.65%	6.52%	12.9%	16.4%	10.8%	21.7%
86	11.8%	8.16%	15.6%	18.2%	12.2%	24%
85	14.2%	10%	18.5%	20.1%	13.7%	26.3%
84	16.8%	12.1%	21.7%	22.1%	15.2%	28.6%
83	19.6%	14.4%	25.1%	24%	16.8%	31%
82	22.6%	16.8%	28.6%	26%	18.5%	33.4%
81	25.7%	19.4%	32.2%	28.1%	20.2%	35.8%
80	28.9%	22.2%	35.8%	30.2%	22%	38.2%
79	32.1%	25%	39.4%	32.3%	23.9%	40.6%
78	35.3%	27.9%	42.9%	34.6%	25.9%	43%
77	38.4%	30.9%	46.3%	36.8%	28%	45.4%
76	41.5%	33.8%	49.6%	39%	30.1%	47.7%
75	44.6%	36.7%	52.8%	41.2%	32.3%	50%
74	47.5%	39.6%	55.8%	43.4%	34.4%	52.1%
73	50.4%	42.5%	58.7%	45.5%	36.6%	54.2%
72	53.1%	45.3%	61.4%	47.5%	38.7%	56.2%
71	55.7%	48%	63.9%	49.6%	40.8%	58.2%
70	58.2%	50.6%	66.3%	51.6%	42.9%	60%
69	60.6%	53.1%	68.5%	53.5%	45.1%	61.9%
68	62.8%	55.5%	70.5%	55.5%	47.2%	63.6%
67	64.9%	57.8%	72.4%	57.3%	49.3%	65.3%
66	66.9%	60%	74.2%	59.2%	51.4%	66.8%
65	68.7%	62%	75.8%	60.9%	53.4%	68.3%
64	70.5%	64%	77.3%	62.6%	55.4%	69.8%
63	72.1%	65.9%	78.6%	64.2%	57.3%	71.1%
62	73.6%	67.7%	79.9%	65.7%	59.1%	72.4%
61	75%	69.4%	81.1%	67.2%	60.9%	73.6%
60	76.4%	71%	82.1%	68.7%	62.6%	74.7%
59	77.6%	72.4%	83.1%	70%	64.3%	75.9%
58	78.8%	73.8%	84%	71.4%	65.9%	76.9%
57	79.9%	75.1%	84.9%	72.7%	67.5%	78%
56	80.9%	76.3%	85.7%	73.9%	69%	78.9%
55	81.8%	77.5%	86.4%	75.1%	70.5%	79.9%
54	82.7%	78.5%	87.1%	76.2%	71.9%	80.7%
53	83.5%	79.5%	87.7%	77.3%	73.2%	81.6%
52	84.2%	80.4%	88.3%	78.4%	74.5%	82.4%
51	84.9%	81.3%	88.8%	79.4%	75.7%	83.1%
50	85.6%	82.1%	89.3%	80.3%	76.9%	83.9%
49	86.2%	82.9%	89.8%	81.2%	78%	84.6%
48	86.8%	83.5%	90.2%	82.1%	79.1%	85.3%
47	87.3%	84.2%	90.6%	83%	80.1%	85.9%
46	87.8%	84.8%	91%	83.8%	81.1%	86.6%
45	88.2%	85.4%	91.3%	84.6%	82%	87.2%
44	88.7%	85.9%	91.6%	85.3%	82.9%	87.8%
43	89.1%	86.4%	91.9%	86%	83.7%	88.4%
42	89.5%	86.9%	92.2%	86.7%	84.5%	89%
41	89.8%	87.3%	92.5%	87.4%	85.3%	89.6%
40	90.1%	87.7%	92.7%	88.1%	86%	90.1%
39	90.5%	88.1%	92.9%	88.7%	86.7%	90.6%
38	90.7%	88.5%	93.1%	89.2%	87.4%	91.1%
37	91%	88.9%	93.4%	89.8%	88.1%	91.6%
36	91.3%	89.2%	93.5%	90.4%	88.7%	92%
35	91.6%	89.5%	93.7%	90.9%	89.3%	92.5%
34	91.8%	89.8%	93.9%	91.4%	89.9%	92.9%
33	92%	90.1%	94.1%	91.8%	90.4%	93.3%
32	92.3%	90.4%	94.2%	92.3%	91%	93.6%
31	92.5%	90.7%	94.4%	92.7%	91.5%	94%
30	92.7%	90.9%	94.5%	93.1%	91.9%	94.3%
29	92.9%	91.2%	94.7%	93.5%	92.4%	94.6%
28	93.1%	91.4%	94.8%	93.9%	92.8%	94.9%
27	93.3%	91.7%	94.9%	94.2%	93.2%	95.2%
26	93.5%	92%	95.1%	94.5%	93.6%	95.4%
25	93.6%	92.2%	95.2%	94.8%	94%	95.7%
24	93.8%	92.5%	95.3%	95.1%	94.3%	95.9%
23	94%	92.7%	95.4%	95.3%	94.6%	96%
22	94.2%	93%	95.5%	95.5%	94.9%	96.2%
21	94.4%	93.2%	95.6%	95.7%	95.1%	96.3%
20	94.6%	93.4%	95.7%	95.9%	95.4%	96.5%
19	94.7%	93.6%	95.8%	96.1%	95.6%	96.6%
18	94.8%	93.8%	95.9%	96.2%	95.7%	96.7%
17	95%	94%	96%	96.3%	95.9%	96.8%
16	95.1%	94.2%	96.1%	96.4%	96%	96.9%
15	95.2%	94.3%	96.1%	96.5%	96.1%	97%
14	95.3%	94.4%	96.2%	96.6%	96.2%	97%
13	95.4%	94.5%	96.2%	96.6%	96.2%	97.1%
12	95.4%	94.6%	96.3%	96.7%	96.3%	97.1%
11	95.5%	94.7%	96.3%	96.7%	96.3%	97.1%
10	95.6%	94.8%	96.4%	96.8%	96.4%	97.2%
9	95.7%	94.9%	96.4%	96.8%	96.4%	97.2%
8	95.7%	95%	96.5%	96.8%	96.5%	97.2%
7	95.8%	95.2%	96.5%	96.9%	96.5%	97.3%
6	95.9%	95.3%	96.6%	96.9%	96.6%	97.3%
5	96.1%	95.5%	96.7%	97%	96.7%	97.4%
4	96.2%	95.7%	96.8%	97.1%	96.8%	97.4%
3	96.4%	95.9%	96.9%	97.2%	96.9%	97.6%
2	96.6%	96.1%	97.1%	97.5%	97.2%	97.8%
1	96.8%	96.3%	97.4%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 76.4% of newborns in Myanmar and 68.7% in South Africa are expected to live past 60, 58.2% and 51.6% past 70, 28.9% and 30.2% past 80, and only 4.63% and 11.3% past 90.

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

Odds of dying at each age

Chart Table

Myanmar

Male

Female

South Africa

Male

Female

1x

Age	Probability of dying
	Myanmar			South Africa
	Average	Male	Female	Average	Male	Female
100	45%	47.5%	44.5%	23.6%	22.9%	23.9%
99	43.2%	45.6%	42.5%	22.5%	22%	22.8%
98	41.2%	43.7%	40.5%	21.3%	21%	21.5%
97	39.3%	41.8%	38.5%	20.2%	20%	20.2%
96	37.4%	40%	36.5%	19%	19.1%	19%
95	35.6%	38.1%	34.7%	18%	18.2%	17.9%
94	33.7%	36.3%	32.8%	16.9%	17.3%	16.8%
93	31.9%	34.3%	30.9%	15.9%	16.5%	15.6%
92	29.9%	32.3%	28.9%	14.8%	15.6%	14.5%
91	27.8%	30.2%	26.8%	13.8%	14.8%	13.5%
90	25.7%	28%	24.6%	13%	14.1%	12.6%
89	23.6%	25.8%	22.5%	12.3%	13.5%	11.8%
88	21.6%	23.8%	20.5%	11.5%	12.8%	11.1%
87	19.8%	21.9%	18.8%	10.8%	12.1%	10.3%
86	18.2%	20.1%	17.2%	10.1%	11.4%	9.6%
85	16.8%	18.6%	15.8%	9.43%	10.7%	8.88%
84	15.5%	17.1%	14.6%	8.78%	10%	8.21%
83	14.3%	15.8%	13.4%	8.21%	9.46%	7.62%
82	13.2%	14.6%	12.3%	7.71%	8.97%	7.1%
81	12.1%	13.5%	11.2%	7.3%	8.57%	6.66%
80	11%	12.4%	10.1%	6.96%	8.26%	6.28%
79	10%	11.3%	9.11%	6.67%	8%	5.94%
78	9.07%	10.4%	8.19%	6.37%	7.73%	5.61%
77	8.23%	9.52%	7.36%	6.06%	7.42%	5.26%
76	7.48%	8.72%	6.63%	5.71%	7.05%	4.89%
75	6.81%	7.98%	5.99%	5.35%	6.64%	4.53%
74	6.21%	7.31%	5.41%	4.98%	6.22%	4.17%
73	5.66%	6.7%	4.89%	4.64%	5.83%	3.85%
72	5.16%	6.13%	4.42%	4.34%	5.49%	3.57%
71	4.69%	5.62%	3.98%	4.09%	5.2%	3.33%
70	4.27%	5.15%	3.58%	3.87%	4.95%	3.12%
69	3.88%	4.72%	3.22%	3.67%	4.72%	2.92%
68	3.54%	4.33%	2.89%	3.48%	4.5%	2.74%
67	3.23%	3.98%	2.6%	3.28%	4.28%	2.55%
66	2.95%	3.66%	2.35%	3.08%	4.04%	2.37%
65	2.7%	3.37%	2.12%	2.88%	3.79%	2.19%
64	2.47%	3.1%	1.92%	2.68%	3.55%	2.03%
63	2.26%	2.86%	1.74%	2.5%	3.32%	1.88%
62	2.07%	2.63%	1.58%	2.34%	3.11%	1.75%
61	1.9%	2.42%	1.44%	2.2%	2.93%	1.65%
60	1.74%	2.22%	1.31%	2.08%	2.76%	1.55%
59	1.6%	2.04%	1.19%	1.98%	2.61%	1.47%
58	1.47%	1.88%	1.08%	1.88%	2.47%	1.39%
57	1.35%	1.73%	0.99%	1.78%	2.33%	1.32%
56	1.24%	1.59%	0.91%	1.68%	2.2%	1.24%
55	1.14%	1.47%	0.84%	1.58%	2.07%	1.16%
54	1.06%	1.35%	0.77%	1.49%	1.94%	1.09%
53	0.97%	1.25%	0.71%	1.4%	1.83%	1.02%
52	0.9%	1.15%	0.66%	1.32%	1.72%	0.96%
51	0.83%	1.06%	0.61%	1.25%	1.62%	0.91%
50	0.77%	0.98%	0.56%	1.19%	1.52%	0.87%
49	0.71%	0.9%	0.52%	1.13%	1.44%	0.84%
48	0.65%	0.83%	0.48%	1.08%	1.35%	0.8%
47	0.6%	0.77%	0.44%	1.03%	1.28%	0.78%
46	0.56%	0.72%	0.41%	0.98%	1.2%	0.75%
45	0.52%	0.67%	0.37%	0.93%	1.13%	0.73%
44	0.48%	0.62%	0.35%	0.88%	1.07%	0.7%
43	0.45%	0.58%	0.32%	0.84%	1.01%	0.68%
42	0.42%	0.54%	0.3%	0.8%	0.95%	0.65%
41	0.39%	0.51%	0.28%	0.76%	0.9%	0.63%
40	0.37%	0.47%	0.26%	0.73%	0.86%	0.6%
39	0.35%	0.45%	0.25%	0.69%	0.82%	0.57%
38	0.33%	0.42%	0.23%	0.66%	0.78%	0.54%
37	0.31%	0.4%	0.22%	0.63%	0.74%	0.51%
36	0.29%	0.38%	0.21%	0.6%	0.71%	0.49%
35	0.28%	0.36%	0.2%	0.57%	0.67%	0.46%
34	0.26%	0.34%	0.19%	0.54%	0.64%	0.44%
33	0.25%	0.33%	0.18%	0.51%	0.61%	0.42%
32	0.24%	0.31%	0.17%	0.49%	0.58%	0.4%
31	0.23%	0.3%	0.16%	0.46%	0.55%	0.38%
30	0.22%	0.29%	0.16%	0.44%	0.52%	0.36%
29	0.22%	0.28%	0.15%	0.41%	0.5%	0.33%
28	0.21%	0.28%	0.14%	0.39%	0.47%	0.31%
27	0.21%	0.28%	0.14%	0.36%	0.44%	0.28%
26	0.21%	0.27%	0.13%	0.33%	0.41%	0.25%
25	0.2%	0.27%	0.13%	0.3%	0.38%	0.23%
24	0.2%	0.27%	0.13%	0.28%	0.35%	0.2%
23	0.2%	0.27%	0.12%	0.25%	0.32%	0.18%
22	0.19%	0.27%	0.12%	0.23%	0.29%	0.17%
21	0.19%	0.26%	0.11%	0.21%	0.26%	0.15%
20	0.18%	0.24%	0.11%	0.19%	0.23%	0.14%
19	0.16%	0.23%	0.1%	0.16%	0.2%	0.13%
18	0.15%	0.2%	0.09%	0.14%	0.18%	0.11%
17	0.13%	0.18%	0.08%	0.12%	0.15%	0.1%
16	0.12%	0.16%	0.07%	0.11%	0.12%	0.09%
15	0.1%	0.14%	0.07%	0.09%	0.1%	0.07%
14	0.09%	0.13%	0.06%	0.07%	0.09%	0.06%
13	0.08%	0.11%	0.05%	0.06%	0.07%	0.05%
12	0.08%	0.11%	0.05%	0.05%	0.06%	0.04%
11	0.08%	0.11%	0.05%	0.04%	0.05%	0.04%
10	0.08%	0.11%	0.05%	0.04%	0.05%	0.03%
9	0.08%	0.11%	0.05%	0.04%	0.05%	0.03%
8	0.09%	0.12%	0.05%	0.04%	0.05%	0.03%
7	0.1%	0.13%	0.06%	0.04%	0.05%	0.04%
6	0.11%	0.15%	0.07%	0.05%	0.06%	0.04%
5	0.13%	0.17%	0.09%	0.07%	0.08%	0.06%
4	0.15%	0.19%	0.11%	0.1%	0.11%	0.08%
3	0.18%	0.21%	0.14%	0.15%	0.17%	0.12%
2	0.21%	0.23%	0.19%	0.22%	0.25%	0.2%
1	0.26%	0.26%	0.25%	0.35%	0.38%	0.32%
0	3.16%	3.67%	2.63%	2.19%	2.44%	1.93%

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

The annual chance of dying is 3.16% in the birth year in Myanmar and 2.19% in South Africa, 0.22% vs 0.44% at age 30, 1.74% vs 2.08% at 60, and 11% vs 6.96% at 80.

Death rate by age in Myanmar vs South Africa

Chart Table

Myanmar

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	Myanmar			South Africa
	Total	Male	Female	Total	Male	Female
100	0	0	0	359	204.6	501
99	48.9	22.8	76.2	475	280.8	655
98	79.4	38.8	121.9	572	340	787
97	124.6	63.8	188.2	677	406	928
96	189.6	101.6	281.7	789	478	1,077
95	279.8	156.5	409	909	558	1,236
94	401	233.5	575	1,031	642	1,393
93	555	336	784	1,148	729	1,540
92	743	467	1,030	1,257	818	1,670
91	957	625	1,303	1,363	912	1,794
90	1,190	806	1,590	1,476	1,014	1,924
89	1,431	1,003	1,877	1,585	1,118	2,045
88	1,674	1,211	2,156	1,686	1,220	2,150
87	1,916	1,426	2,426	1,775	1,315	2,238
86	2,155	1,643	2,688	1,845	1,397	2,299
85	2,389	1,860	2,938	1,897	1,467	2,335
84	2,610	2,073	3,169	1,937	1,530	2,353
83	2,810	2,274	3,366	1,972	1,591	2,363
82	2,976	2,458	3,514	2,008	1,656	2,371
81	3,100	2,616	3,601	2,052	1,732	2,383
80	3,176	2,744	3,623	2,102	1,819	2,399
79	3,207	2,839	3,589	2,156	1,914	2,411
78	3,198	2,903	3,513	2,202	2,006	2,410
77	3,162	2,938	3,410	2,228	2,080	2,386
76	3,109	2,947	3,290	2,228	2,126	2,335
75	3,037	2,933	3,160	2,204	2,144	2,262
74	2,952	2,898	3,020	2,161	2,141	2,176
73	2,852	2,846	2,870	2,112	2,132	2,089
72	2,740	2,777	2,711	2,066	2,123	2,008
71	2,617	2,695	2,545	2,028	2,121	1,936
70	2,486	2,602	2,374	1,997	2,124	1,871
69	2,353	2,503	2,205	1,966	2,128	1,807
68	2,221	2,401	2,041	1,929	2,124	1,740
67	2,093	2,297	1,887	1,882	2,108	1,667
66	1,971	2,193	1,743	1,822	2,074	1,585
65	1,854	2,090	1,610	1,752	2,025	1,500
64	1,741	1,986	1,486	1,679	1,965	1,415
63	1,632	1,883	1,371	1,606	1,901	1,337
62	1,527	1,780	1,264	1,540	1,839	1,269
61	1,427	1,678	1,164	1,482	1,782	1,211
60	1,331	1,578	1,072	1,431	1,730	1,162
59	1,240	1,480	987	1,384	1,679	1,116
58	1,154	1,386	911	1,339	1,629	1,072
57	1,076	1,297	842	1,292	1,575	1,026
56	1,003	1,214	780	1,242	1,519	978
55	936	1,135	724	1,190	1,459	929
54	872	1,061	673	1,137	1,397	881
53	813	990	625	1,085	1,337	835
52	757	924	581	1,037	1,279	795
51	705	861	540	994	1,223	760
50	656	802	501	954	1,171	731
49	610	747	464	918	1,120	707
48	567	696	430	883	1,071	686
47	528	650	398	850	1,022	668
46	492	608	368	818	974	652
45	459	569	342	786	928	635
44	429	533	317	755	884	619
43	401	501	295.4	724	842	601
42	376	470	275.8	695	804	581
41	353	442	258.5	667	770	560
40	332	416	242.9	639	738	538
39	313	393	228.9	613	708	515
38	296.2	371	216.1	587	680	492
37	280.8	352	204.4	562	653	470
36	266.9	336	193.6	538	626	449
35	254.3	321	183.7	515	600	429
34	243	307	174.8	493	575	410
33	232.8	294.9	166.6	471	551	392
32	223.5	283.8	159.3	450	527	374
31	215.2	273.9	152.7	429	504	355
30	207.9	265.5	146.7	408	481	335
29	202.1	259.1	141.4	386	458	314
28	197.6	254.9	136.5	363	434	291.3
27	194.3	252.8	132	339	410	266.7
26	192	252.4	127.6	314	384	241.5
25	190.4	253.2	123.3	289.1	358	217.1
24	188.8	254	119.3	264.7	331	195.1
23	186.4	253.1	115.3	241.4	304	176
22	182.4	249.3	111.1	219.2	276.6	159.6
21	176.1	241.2	106.5	198.1	249	145.6
20	166.9	228.5	101.2	177.8	221.4	133.1
19	155.2	211.6	94.9	158	194.2	121.2
18	141.5	191.9	87.7	138.5	167.7	108.8
17	126.9	171.1	79.7	119.5	142.6	96
16	112.5	151	71.4	101.4	119.6	82.9
15	99.4	133.1	63.5	85	99.4	70.2
14	88.7	118.8	56.6	70.7	82.4	58.8
13	80.8	108.5	51.1	58.9	68.7	49
12	75.8	102.5	47.2	49.7	58.1	41.1
11	73.9	100.8	45.1	43	50.5	35.3
10	74.7	102.7	44.8	38.7	45.8	31.6
9	78.4	108.2	46.5	37	43.9	30
8	84.8	116.9	50.5	37.9	45.2	30.6
7	94.1	128.4	57.4	42.2	50.2	34.1
6	106.6	142.5	68.2	51.2	60.6	41.7
5	122.9	158.9	84.2	67.2	79	55.4
4	143.8	177.8	107.5	95.3	110.3	80
3	170.7	199.2	140.2	141.9	161.3	121.7
2	205.2	223.4	185.7	218.6	243.8	192.5
1	249.9	251.4	248.2	343	375	310
0	3,164	3,669	2,626	2,192	2,441	1,934

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 Myanmar, the most common age of death is 79, compared to 77 in South Africa. The median age of death is 73.1 in Myanmar and 70.8 in South Africa, 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 Myanmar and South Africa more than their death rates.

Life expectancy in other countries

+ -

1x