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

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 Sudan: 72.1 years vs 69.1 at 30, 78.5 vs 78 at 65, 85.7 vs 85.6 at 80 — significantly higher than the 67.5 vs 58 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 Sudan.

Table

Current age, years	Total life expectancy, years
	Myanmar			South Sudan
	Average	Male	Female	Average	Male	Female
0	67.5	64.4	70.8	58	55	61
1	69.7	66.8	72.7	61.8	58.9	64.7
2	69.9	67	72.9	62.5	59.5	65.5
3	70	67.1	73	63.1	60.1	66.1
4	70.1	67.3	73.1	63.6	60.6	66.6
5	70.2	67.4	73.2	64	61.1	67
6	70.3	67.5	73.3	64.4	61.5	67.3
7	70.4	67.6	73.3	64.7	61.8	67.6
8	70.5	67.7	73.3	65	62.1	67.8
9	70.5	67.7	73.4	65.2	62.4	68
10	70.6	67.8	73.4	65.4	62.6	68.2
11	70.6	67.9	73.4	65.5	62.8	68.3
12	70.7	67.9	73.5	65.7	62.9	68.4
13	70.7	68	73.5	65.8	63.1	68.5
14	70.7	68	73.5	66	63.2	68.7
15	70.8	68.1	73.6	66.1	63.4	68.8
16	70.9	68.2	73.6	66.3	63.5	68.9
17	70.9	68.3	73.6	66.4	63.7	69
18	71	68.4	73.7	66.6	63.9	69.2
19	71.1	68.5	73.7	66.8	64.1	69.3
20	71.2	68.6	73.8	67	64.4	69.5
21	71.2	68.7	73.9	67.2	64.6	69.6
22	71.3	68.8	73.9	67.4	64.9	69.8
23	71.4	68.9	74	67.6	65.1	70
24	71.5	69.1	74	67.8	65.4	70.1
25	71.6	69.2	74.1	68	65.7	70.3
26	71.7	69.3	74.2	68.3	65.9	70.4
27	71.8	69.4	74.2	68.5	66.2	70.6
28	71.9	69.5	74.3	68.7	66.5	70.8
29	72	69.7	74.4	68.9	66.7	71
30	72.1	69.8	74.4	69.1	67	71.1
31	72.2	69.9	74.5	69.3	67.2	71.3
32	72.3	70	74.6	69.5	67.4	71.5
33	72.4	70.1	74.6	69.8	67.7	71.7
34	72.5	70.2	74.7	70	67.9	71.8
35	72.6	70.4	74.8	70.2	68.2	72
36	72.7	70.5	74.9	70.4	68.4	72.2
37	72.8	70.6	74.9	70.6	68.6	72.4
38	72.9	70.8	75	70.8	68.9	72.5
39	73	70.9	75.1	71	69.1	72.7
40	73.1	71	75.2	71.2	69.4	72.9
41	73.2	71.2	75.3	71.5	69.6	73.1
42	73.4	71.3	75.4	71.7	69.9	73.3
43	73.5	71.5	75.5	71.9	70.1	73.5
44	73.6	71.6	75.6	72.1	70.4	73.7
45	73.8	71.8	75.7	72.4	70.6	73.9
46	73.9	72	75.8	72.6	70.9	74.1
47	74.1	72.2	75.9	72.8	71.2	74.3
48	74.2	72.4	76	73	71.4	74.4
49	74.4	72.6	76.2	73.3	71.7	74.6
50	74.6	72.8	76.3	73.5	72	74.8
51	74.8	73	76.5	73.8	72.3	75.1
52	75	73.2	76.6	74	72.6	75.3
53	75.2	73.5	76.8	74.3	72.9	75.5
54	75.4	73.7	76.9	74.5	73.2	75.7
55	75.6	74	77.1	74.8	73.5	76
56	75.8	74.3	77.3	75.1	73.8	76.2
57	76.1	74.5	77.5	75.4	74.1	76.4
58	76.3	74.8	77.7	75.7	74.5	76.7
59	76.6	75.2	77.9	76	74.8	76.9
60	76.9	75.5	78.1	76.3	75.1	77.2
61	77.2	75.8	78.4	76.6	75.5	77.5
62	77.5	76.2	78.6	76.9	75.9	77.8
63	77.8	76.6	78.9	77.3	76.3	78.1
64	78.1	76.9	79.1	77.6	76.7	78.4
65	78.5	77.3	79.4	78	77.1	78.7
66	78.8	77.7	79.7	78.4	77.5	79.1
67	79.2	78.2	80	78.8	77.9	79.5
68	79.6	78.6	80.4	79.2	78.4	79.8
69	80	79.1	80.7	79.7	78.9	80.2
70	80.4	79.5	81.1	80.1	79.3	80.7
71	80.9	80	81.5	80.6	79.8	81.1
72	81.3	80.5	81.9	81.1	80.4	81.6
73	81.8	81.1	82.3	81.6	80.9	82.1
74	82.3	81.6	82.8	82.1	81.5	82.6
75	82.8	82.2	83.3	82.6	82	83.1
76	83.3	82.8	83.8	83.2	82.6	83.6
77	83.9	83.4	84.3	83.8	83.2	84.2
78	84.5	84	84.8	84.4	83.8	84.7
79	85.1	84.6	85.4	85	84.5	85.3
80	85.7	85.3	86	85.6	85.1	85.9
81	86.3	85.9	86.6	86.3	85.8	86.6
82	87	86.6	87.2	87	86.5	87.2
83	87.7	87.3	87.9	87.7	87.2	87.9
84	88.4	88	88.6	88.4	87.9	88.6
85	89.1	88.8	89.3	89.1	88.7	89.4
86	89.8	89.5	90	89.9	89.4	90.1
87	90.5	90.3	90.7	90.6	90.2	90.8
88	91.3	91	91.4	91.4	91	91.6
89	92.1	91.8	92.2	92.2	91.8	92.4
90	92.9	92.6	93	93	92.6	93.2
91	93.7	93.5	93.8	93.8	93.4	94
92	94.5	94.3	94.6	94.7	94.2	94.8
93	95.4	95.2	95.4	95.5	95.1	95.6
94	96.2	96.1	96.3	96.3	96	96.4
95	97.1	97	97.2	97.2	96.9	97.3
96	98	97.9	98	98.1	97.8	98.1
97	98.9	98.8	98.9	98.9	98.7	99
98	99.8	99.7	99.8	99.8	99.6	99.9
99	100.7	100.6	100.7	100.7	100.6	100.8
100	101.7	101.6	101.7	101.7	101.6	101.8

Odds of living to age in Myanmar vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 76.4% in Myanmar and 61.1% in South Sudan are expected to survive till at least 60 years old, 58.2% and 45.1% will live to 70 years or older, 28.9% and 21.3% to 80+ years, and 4.63% and 3.37% 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 Sudan
	Average	Male	Female	Average	Male	Female
1	96.8%	96.3%	97.4%	93.8%	93.3%	94.2%
2	96.6%	96.1%	97.1%	92.7%	92.3%	93.1%
3	96.4%	95.9%	96.9%	91.8%	91.4%	92.2%
4	96.2%	95.7%	96.8%	91%	90.6%	91.5%
5	96.1%	95.5%	96.7%	90.3%	89.8%	90.9%
6	95.9%	95.3%	96.6%	89.8%	89.2%	90.4%
7	95.8%	95.2%	96.5%	89.3%	88.6%	90%
8	95.7%	95%	96.5%	88.9%	88.2%	89.7%
9	95.7%	94.9%	96.4%	88.6%	87.8%	89.4%
10	95.6%	94.8%	96.4%	88.3%	87.4%	89.1%
11	95.5%	94.7%	96.3%	88%	87.1%	88.9%
12	95.4%	94.6%	96.3%	87.8%	86.8%	88.7%
13	95.4%	94.5%	96.2%	87.5%	86.6%	88.5%
14	95.3%	94.4%	96.2%	87.3%	86.3%	88.4%
15	95.2%	94.3%	96.1%	87.1%	86%	88.2%
16	95.1%	94.2%	96.1%	86.8%	85.7%	87.9%
17	95%	94%	96%	86.5%	85.4%	87.7%
18	94.8%	93.8%	95.9%	86.2%	85.1%	87.5%
19	94.7%	93.6%	95.8%	85.9%	84.7%	87.2%
20	94.6%	93.4%	95.7%	85.6%	84.2%	87%
21	94.4%	93.2%	95.6%	85.2%	83.7%	86.7%
22	94.2%	93%	95.5%	84.8%	83.2%	86.4%
23	94%	92.7%	95.4%	84.4%	82.7%	86.1%
24	93.8%	92.5%	95.3%	84%	82.2%	85.8%
25	93.6%	92.2%	95.2%	83.5%	81.6%	85.5%
26	93.5%	92%	95.1%	83.1%	81.1%	85.2%
27	93.3%	91.7%	94.9%	82.7%	80.6%	84.9%
28	93.1%	91.4%	94.8%	82.2%	80.1%	84.5%
29	92.9%	91.2%	94.7%	81.8%	79.5%	84.2%
30	92.7%	90.9%	94.5%	81.4%	79%	83.8%
31	92.5%	90.7%	94.4%	80.9%	78.5%	83.5%
32	92.3%	90.4%	94.2%	80.5%	77.9%	83.1%
33	92%	90.1%	94.1%	80%	77.4%	82.7%
34	91.8%	89.8%	93.9%	79.6%	76.9%	82.4%
35	91.6%	89.5%	93.7%	79.1%	76.3%	82%
36	91.3%	89.2%	93.5%	78.6%	75.8%	81.6%
37	91%	88.9%	93.4%	78.1%	75.2%	81.2%
38	90.7%	88.5%	93.1%	77.6%	74.6%	80.8%
39	90.5%	88.1%	92.9%	77.1%	74%	80.3%
40	90.1%	87.7%	92.7%	76.6%	73.4%	79.9%
41	89.8%	87.3%	92.5%	76.1%	72.8%	79.4%
42	89.5%	86.9%	92.2%	75.5%	72.1%	78.9%
43	89.1%	86.4%	91.9%	74.9%	71.5%	78.4%
44	88.7%	85.9%	91.6%	74.3%	70.8%	77.9%
45	88.2%	85.4%	91.3%	73.7%	70.1%	77.4%
46	87.8%	84.8%	91%	73.1%	69.4%	76.9%
47	87.3%	84.2%	90.6%	72.5%	68.6%	76.4%
48	86.8%	83.5%	90.2%	71.8%	67.9%	75.8%
49	86.2%	82.9%	89.8%	71.1%	67.1%	75.3%
50	85.6%	82.1%	89.3%	70.4%	66.3%	74.7%
51	84.9%	81.3%	88.8%	69.7%	65.4%	74%
52	84.2%	80.4%	88.3%	68.9%	64.5%	73.4%
53	83.5%	79.5%	87.7%	68%	63.5%	72.7%
54	82.7%	78.5%	87.1%	67.2%	62.5%	71.9%
55	81.8%	77.5%	86.4%	66.3%	61.5%	71.1%
56	80.9%	76.3%	85.7%	65.3%	60.4%	70.3%
57	79.9%	75.1%	84.9%	64.4%	59.3%	69.5%
58	78.8%	73.8%	84%	63.3%	58.2%	68.6%
59	77.6%	72.4%	83.1%	62.3%	57%	67.6%
60	76.4%	71%	82.1%	61.1%	55.7%	66.6%
61	75%	69.4%	81.1%	59.9%	54.4%	65.5%
62	73.6%	67.7%	79.9%	58.6%	53%	64.3%
63	72.1%	65.9%	78.6%	57.3%	51.5%	63.1%
64	70.5%	64%	77.3%	55.8%	49.9%	61.7%
65	68.7%	62%	75.8%	54.2%	48.3%	60.2%
66	66.9%	60%	74.2%	52.6%	46.6%	58.7%
67	64.9%	57.8%	72.4%	50.9%	44.8%	57%
68	62.8%	55.5%	70.5%	49.1%	42.9%	55.2%
69	60.6%	53.1%	68.5%	47.1%	41%	53.3%
70	58.2%	50.6%	66.3%	45.1%	39%	51.3%
71	55.7%	48%	63.9%	43%	36.9%	49.2%
72	53.1%	45.3%	61.4%	40.8%	34.7%	46.9%
73	50.4%	42.5%	58.7%	38.5%	32.5%	44.6%
74	47.5%	39.6%	55.8%	36.2%	30.2%	42.1%
75	44.6%	36.7%	52.8%	33.7%	27.9%	39.6%
76	41.5%	33.8%	49.6%	31.3%	25.6%	36.9%
77	38.4%	30.9%	46.3%	28.8%	23.3%	34.3%
78	35.3%	27.9%	42.9%	26.3%	21%	31.6%
79	32.1%	25%	39.4%	23.8%	18.8%	28.8%
80	28.9%	22.2%	35.8%	21.3%	16.6%	26.1%
81	25.7%	19.4%	32.2%	18.9%	14.5%	23.3%
82	22.6%	16.8%	28.6%	16.6%	12.5%	20.6%
83	19.6%	14.4%	25.1%	14.4%	10.6%	18%
84	16.8%	12.1%	21.7%	12.3%	8.88%	15.6%
85	14.2%	10%	18.5%	10.3%	7.31%	13.2%
86	11.8%	8.16%	15.6%	8.54%	5.92%	11.1%
87	9.65%	6.52%	12.9%	6.96%	4.7%	9.18%
88	7.74%	5.09%	10.5%	5.58%	3.65%	7.47%
89	6.06%	3.88%	8.34%	4.38%	2.76%	5.98%
90	4.63%	2.88%	6.46%	3.37%	2.03%	4.7%
91	3.44%	2.07%	4.87%	2.54%	1.45%	3.62%
92	2.49%	1.45%	3.57%	1.87%	1%	2.73%
93	1.74%	0.98%	2.54%	1.35%	0.67%	2.01%
94	1.19%	0.64%	1.76%	0.94%	0.44%	1.44%
95	0.79%	0.41%	1.18%	0.64%	0.27%	1%
96	0.51%	0.25%	0.77%	0.43%	0.16%	0.67%
97	0.32%	0.15%	0.49%	0.27%	0.1%	0.44%
98	0.19%	0.09%	0.3%	0.17%	0.05%	0.28%
99	0.11%	0.05%	0.18%	0.1%	0.03%	0.17%
100	0.06%	0.03%	0.1%	0.06%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 3.16% in the birth year in Myanmar and 6.22% in South Sudan, 0.22% vs 0.55% at age 30, 1.74% vs 1.98% at 60, and 11% vs 11.3% at 80.

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

Table

Age	Probability of dying
	Myanmar			South Sudan
	Average	Male	Female	Average	Male	Female
0	3.16%	3.67%	2.63%	6.22%	6.67%	5.75%
1	0.26%	0.26%	0.25%	1.16%	1.1%	1.22%
2	0.21%	0.23%	0.19%	0.99%	0.99%	0.98%
3	0.18%	0.21%	0.14%	0.85%	0.9%	0.8%
4	0.15%	0.19%	0.11%	0.73%	0.8%	0.65%
5	0.13%	0.17%	0.09%	0.62%	0.71%	0.53%
6	0.11%	0.15%	0.07%	0.53%	0.63%	0.43%
7	0.1%	0.13%	0.06%	0.45%	0.54%	0.36%
8	0.09%	0.12%	0.05%	0.39%	0.47%	0.31%
9	0.08%	0.11%	0.05%	0.34%	0.4%	0.27%
10	0.08%	0.11%	0.05%	0.3%	0.35%	0.24%
11	0.08%	0.11%	0.05%	0.27%	0.32%	0.22%
12	0.08%	0.11%	0.05%	0.26%	0.3%	0.22%
13	0.08%	0.11%	0.05%	0.26%	0.3%	0.22%
14	0.09%	0.13%	0.06%	0.27%	0.31%	0.22%
15	0.1%	0.14%	0.07%	0.29%	0.34%	0.24%
16	0.12%	0.16%	0.07%	0.32%	0.37%	0.26%
17	0.13%	0.18%	0.08%	0.35%	0.42%	0.27%
18	0.15%	0.2%	0.09%	0.38%	0.47%	0.29%
19	0.16%	0.23%	0.1%	0.41%	0.52%	0.3%
20	0.18%	0.24%	0.11%	0.44%	0.57%	0.32%
21	0.19%	0.26%	0.11%	0.47%	0.61%	0.33%
22	0.19%	0.27%	0.12%	0.49%	0.63%	0.34%
23	0.2%	0.27%	0.12%	0.5%	0.65%	0.35%
24	0.2%	0.27%	0.13%	0.51%	0.65%	0.36%
25	0.2%	0.27%	0.13%	0.51%	0.65%	0.37%
26	0.21%	0.27%	0.13%	0.52%	0.65%	0.38%
27	0.21%	0.28%	0.14%	0.52%	0.65%	0.39%
28	0.21%	0.28%	0.14%	0.53%	0.65%	0.41%
29	0.22%	0.28%	0.15%	0.54%	0.66%	0.42%
30	0.22%	0.29%	0.16%	0.55%	0.67%	0.43%
31	0.23%	0.3%	0.16%	0.56%	0.68%	0.44%
32	0.24%	0.31%	0.17%	0.57%	0.69%	0.45%
33	0.25%	0.33%	0.18%	0.58%	0.7%	0.46%
34	0.26%	0.34%	0.19%	0.59%	0.71%	0.47%
35	0.28%	0.36%	0.2%	0.6%	0.73%	0.48%
36	0.29%	0.38%	0.21%	0.61%	0.74%	0.49%
37	0.31%	0.4%	0.22%	0.63%	0.76%	0.51%
38	0.33%	0.42%	0.23%	0.65%	0.79%	0.53%
39	0.35%	0.45%	0.25%	0.68%	0.82%	0.56%
40	0.37%	0.47%	0.26%	0.71%	0.85%	0.58%
41	0.39%	0.51%	0.28%	0.74%	0.89%	0.61%
42	0.42%	0.54%	0.3%	0.77%	0.92%	0.63%
43	0.45%	0.58%	0.32%	0.79%	0.96%	0.64%
44	0.48%	0.62%	0.35%	0.81%	0.99%	0.66%
45	0.52%	0.67%	0.37%	0.84%	1.02%	0.67%
46	0.56%	0.72%	0.41%	0.86%	1.06%	0.69%
47	0.6%	0.77%	0.44%	0.9%	1.11%	0.71%
48	0.65%	0.83%	0.48%	0.95%	1.17%	0.75%
49	0.71%	0.9%	0.52%	1%	1.24%	0.79%
50	0.77%	0.98%	0.56%	1.07%	1.32%	0.85%
51	0.83%	1.06%	0.61%	1.14%	1.41%	0.91%
52	0.9%	1.15%	0.66%	1.21%	1.49%	0.97%
53	0.97%	1.25%	0.71%	1.28%	1.57%	1.03%
54	1.06%	1.35%	0.77%	1.35%	1.65%	1.09%
55	1.14%	1.47%	0.84%	1.42%	1.73%	1.15%
56	1.24%	1.59%	0.91%	1.49%	1.82%	1.21%
57	1.35%	1.73%	0.99%	1.58%	1.93%	1.29%
58	1.47%	1.88%	1.08%	1.69%	2.06%	1.39%
59	1.6%	2.04%	1.19%	1.82%	2.21%	1.5%
60	1.74%	2.22%	1.31%	1.98%	2.39%	1.64%
61	1.9%	2.42%	1.44%	2.16%	2.59%	1.8%
62	2.07%	2.63%	1.58%	2.35%	2.81%	1.97%
63	2.26%	2.86%	1.74%	2.56%	3.04%	2.17%
64	2.47%	3.1%	1.92%	2.78%	3.28%	2.37%
65	2.7%	3.37%	2.12%	3.02%	3.54%	2.6%
66	2.95%	3.66%	2.35%	3.28%	3.83%	2.84%
67	3.23%	3.98%	2.6%	3.57%	4.14%	3.12%
68	3.54%	4.33%	2.89%	3.9%	4.5%	3.43%
69	3.88%	4.72%	3.22%	4.26%	4.91%	3.77%
70	4.27%	5.15%	3.58%	4.68%	5.37%	4.16%
71	4.69%	5.62%	3.98%	5.13%	5.87%	4.58%
72	5.16%	6.13%	4.42%	5.62%	6.41%	5.03%
73	5.66%	6.7%	4.89%	6.14%	6.99%	5.52%
74	6.21%	7.31%	5.41%	6.69%	7.61%	6.05%
75	6.81%	7.98%	5.99%	7.29%	8.28%	6.61%
76	7.48%	8.72%	6.63%	7.94%	9%	7.23%
77	8.23%	9.52%	7.36%	8.67%	9.8%	7.92%
78	9.07%	10.4%	8.19%	9.47%	10.7%	8.69%
79	10%	11.3%	9.11%	10.4%	11.7%	9.54%
80	11%	12.4%	10.1%	11.3%	12.7%	10.5%
81	12.1%	13.5%	11.2%	12.4%	13.8%	11.5%
82	13.2%	14.6%	12.3%	13.5%	15%	12.6%
83	14.3%	15.8%	13.4%	14.6%	16.3%	13.7%
84	15.5%	17.1%	14.6%	15.9%	17.6%	14.9%
85	16.8%	18.6%	15.8%	17.1%	19%	16.1%
86	18.2%	20.1%	17.2%	18.5%	20.6%	17.4%
87	19.8%	21.9%	18.8%	19.9%	22.4%	18.6%
88	21.6%	23.8%	20.5%	21.4%	24.3%	20%
89	23.6%	25.8%	22.5%	23%	26.4%	21.4%
90	25.7%	28%	24.6%	24.6%	28.6%	22.9%
91	27.8%	30.2%	26.8%	26.3%	30.8%	24.6%
92	29.9%	32.3%	28.9%	28.1%	33%	26.4%
93	31.9%	34.3%	30.9%	30%	35.2%	28.4%
94	33.7%	36.3%	32.8%	31.9%	37.5%	30.6%
95	35.6%	38.1%	34.7%	33.8%	39.8%	32.8%
96	37.4%	40%	36.5%	35.6%	41.9%	35%
97	39.3%	41.8%	38.5%	37.7%	43.8%	37.1%
98	41.2%	43.7%	40.5%	40.5%	45.5%	39.1%
99	43.2%	45.6%	42.5%	43.7%	47.1%	41%
100	45%	47.5%	44.5%	45.7%	49.1%	43.1%

Death rate by age in Myanmar compared to South Sudan

In Myanmar, the most common age of death is 79, compared to 0 in South Sudan. The median age of death is 73.1 in Myanmar and 67.5 in South Sudan — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Myanmar			South Sudan
	Total	Male	Female	Total	Male	Female
0	3,164	3,669	2,626	6,215	6,667	5,754
1	249.9	251.4	248.2	1,086	1,027	1,147
2	205.2	223.4	185.7	915	916	915
3	170.7	199.2	140.2	776	818	733
4	143.8	177.8	107.5	660	727	591
5	122.9	158.9	84.2	561	641	479
6	106.6	142.5	68.2	477	558	393
7	94.1	128.4	57.4	404	480	326
8	84.8	116.9	50.5	344	411	275.7
9	78.4	108.2	46.5	296.8	353	238.8
10	74.7	102.7	44.8	262	309	213.5
11	73.9	100.8	45.1	239.4	279	198.2
12	75.8	102.5	47.2	227.9	262.8	191.3
13	80.8	108.5	51.1	226.8	260.1	192
14	88.7	118.8	56.6	235.1	270	198.7
15	99.4	133.1	63.5	251.3	290.8	210.1
16	112.5	151	71.4	273.6	321	224.4
17	126.9	171.1	79.7	299.3	357	239.3
18	141.5	191.9	87.7	327	397	253.5
19	155.2	211.6	94.9	354	439	265.4
20	166.9	228.5	101.2	379	478	275.1
21	176.1	241.2	106.5	398	508	283.3
22	182.4	249.3	111.1	412	527	290.7
23	186.4	253.1	115.3	420	535	298.4
24	188.8	254	119.3	424	536	307
25	190.4	253.2	123.3	427	532	316
26	192	252.4	127.6	429	527	325
27	194.3	252.8	132	432	523	335
28	197.6	254.9	136.5	436	522	344
29	202.1	259.1	141.4	440	523	352
30	207.9	265.5	146.7	446	527	359
31	215.2	273.9	152.7	451	533	366
32	223.5	283.8	159.3	456	538	372
33	232.8	294.9	166.6	461	544	377
34	243	307	174.8	466	549	384
35	254.3	321	183.7	473	555	392
36	266.9	336	193.6	481	563	402
37	280.8	352	204.4	493	575	415
38	296.2	371	216.1	508	590	431
39	313	393	228.9	526	608	449
40	332	416	242.9	545	628	467
41	353	442	258.5	564	648	483
42	376	470	275.8	580	667	496
43	401	501	295.4	593	685	506
44	429	533	317	604	700	512
45	459	569	342	616	717	519
46	492	608	368	631	737	528
47	528	650	398	651	762	543
48	567	696	430	679	794	566
49	610	747	464	713	832	596
50	656	802	501	753	875	633
51	705	861	540	795	919	672
52	757	924	581	835	961	711
53	813	990	625	872	999	748
54	872	1,061	673	906	1,033	782
55	936	1,135	724	939	1,066	816
56	1,003	1,214	780	976	1,102	853
57	1,076	1,297	842	1,018	1,145	896
58	1,154	1,386	911	1,072	1,197	950
59	1,240	1,480	987	1,136	1,260	1,015
60	1,331	1,578	1,072	1,210	1,332	1,092
61	1,427	1,678	1,164	1,292	1,409	1,178
62	1,527	1,780	1,264	1,378	1,488	1,270
63	1,632	1,883	1,371	1,465	1,565	1,366
64	1,741	1,986	1,486	1,551	1,639	1,464
65	1,854	2,090	1,610	1,636	1,710	1,565
66	1,971	2,193	1,743	1,724	1,782	1,668
67	2,093	2,297	1,887	1,815	1,855	1,777
68	2,221	2,401	2,041	1,911	1,933	1,891
69	2,353	2,503	2,205	2,011	2,013	2,011
70	2,486	2,602	2,374	2,111	2,091	2,133
71	2,617	2,695	2,545	2,207	2,164	2,252
72	2,740	2,777	2,711	2,292	2,226	2,363
73	2,852	2,846	2,870	2,364	2,272	2,461
74	2,952	2,898	3,020	2,419	2,300	2,546
75	3,037	2,933	3,160	2,459	2,311	2,615
76	3,109	2,947	3,290	2,485	2,305	2,672
77	3,162	2,938	3,410	2,497	2,284	2,714
78	3,198	2,903	3,513	2,490	2,246	2,742
79	3,207	2,839	3,589	2,465	2,188	2,750
80	3,176	2,744	3,623	2,417	2,108	2,734
81	3,100	2,616	3,601	2,342	2,003	2,685
82	2,976	2,458	3,514	2,237	1,874	2,600
83	2,810	2,274	3,366	2,103	1,725	2,478
84	2,610	2,073	3,169	1,944	1,562	2,321
85	2,389	1,860	2,938	1,767	1,392	2,135
86	2,155	1,643	2,688	1,579	1,221	1,929
87	1,916	1,426	2,426	1,386	1,052	1,712
88	1,674	1,211	2,156	1,193	887	1,492
89	1,431	1,003	1,877	1,007	729	1,279
90	1,190	806	1,590	831	582	1,077
91	957	625	1,303	670	447	890
92	743	467	1,030	527	331	722
93	555	336	784	404	237	571
94	401	233.5	575	301	163.5	440
95	279.8	156.5	409	217.2	108.2	328
96	189.6	101.6	281.7	151.7	68.7	235
97	124.6	63.8	188.2	103.4	41.7	162.1
98	79.4	38.8	121.9	69.1	24.4	107.5
99	48.9	22.8	76.2	44.4	13.7	68.6
100	0	0	0	0	0	0

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 Sudan 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 Sudan: Comparing Facts

By topic vs comparisons:

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