Life Expectancy in Myanmar vs Zimbabwe (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 Zimbabwe: 72 years vs 68.4 at 30, 78.4 vs 78.3 at 65, 85.7 vs 86.4 at 80 — significantly higher than the 67.3 vs 63.3 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 Zimbabwe.

Table

Current age, years	Total life expectancy, years
	Myanmar			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	67.3	64.2	70.6	63.3	60.8	65.6
1	69.6	66.7	72.6	65.4	62.9	67.5
2	69.7	66.8	72.7	65.7	63.2	67.8
3	69.9	67	72.9	65.9	63.4	68.1
4	70	67.1	73	66.1	63.6	68.2
5	70.1	67.3	73.1	66.2	63.7	68.3
6	70.2	67.4	73.1	66.2	63.7	68.4
7	70.3	67.5	73.2	66.3	63.8	68.4
8	70.3	67.5	73.2	66.4	63.9	68.5
9	70.4	67.6	73.3	66.4	63.9	68.5
10	70.4	67.7	73.3	66.5	64	68.6
11	70.5	67.7	73.3	66.5	64	68.6
12	70.5	67.8	73.3	66.5	64	68.7
13	70.6	67.9	73.4	66.6	64.1	68.7
14	70.6	67.9	73.4	66.6	64.1	68.8
15	70.7	68	73.4	66.7	64.2	68.8
16	70.7	68.1	73.5	66.7	64.3	68.9
17	70.8	68.2	73.5	66.8	64.3	68.9
18	70.9	68.3	73.6	66.9	64.4	69
19	71	68.4	73.6	67	64.5	69.1
20	71	68.5	73.7	67.1	64.6	69.1
21	71.1	68.6	73.7	67.2	64.7	69.2
22	71.2	68.7	73.8	67.3	64.8	69.3
23	71.3	68.8	73.9	67.4	65	69.4
24	71.4	69	73.9	67.5	65.1	69.5
25	71.5	69.1	74	67.6	65.2	69.7
26	71.6	69.2	74.1	67.8	65.4	69.8
27	71.7	69.3	74.1	67.9	65.5	69.9
28	71.8	69.5	74.2	68.1	65.7	70
29	71.9	69.6	74.3	68.2	65.8	70.2
30	72	69.7	74.3	68.4	66	70.3
31	72.1	69.8	74.4	68.5	66.2	70.5
32	72.2	69.9	74.5	68.7	66.4	70.6
33	72.3	70	74.5	68.9	66.6	70.8
34	72.4	70.2	74.6	69.1	66.8	71
35	72.5	70.3	74.7	69.3	67	71.2
36	72.6	70.4	74.8	69.5	67.2	71.3
37	72.7	70.5	74.8	69.7	67.4	71.5
38	72.8	70.7	74.9	69.9	67.6	71.7
39	72.9	70.8	75	70.1	67.9	71.9
40	73	71	75.1	70.3	68.1	72.1
41	73.2	71.1	75.2	70.6	68.4	72.3
42	73.3	71.3	75.3	70.8	68.6	72.6
43	73.4	71.4	75.4	71	68.9	72.8
44	73.6	71.6	75.5	71.3	69.2	73
45	73.7	71.8	75.6	71.6	69.5	73.2
46	73.9	71.9	75.7	71.8	69.8	73.5
47	74	72.1	75.8	72.1	70.1	73.7
48	74.2	72.3	76	72.4	70.4	74
49	74.3	72.5	76.1	72.6	70.7	74.2
50	74.5	72.7	76.3	72.9	71	74.5
51	74.7	73	76.4	73.2	71.4	74.7
52	74.9	73.2	76.6	73.5	71.7	75
53	75.1	73.4	76.7	73.9	72.1	75.3
54	75.3	73.7	76.9	74.2	72.4	75.6
55	75.6	73.9	77.1	74.5	72.8	75.9
56	75.8	74.2	77.2	74.8	73.1	76.2
57	76	74.5	77.4	75.2	73.5	76.5
58	76.3	74.8	77.6	75.5	73.9	76.8
59	76.6	75.1	77.8	75.9	74.3	77.1
60	76.8	75.5	78.1	76.2	74.7	77.5
61	77.1	75.8	78.3	76.6	75.1	77.8
62	77.4	76.2	78.6	77	75.6	78.2
63	77.8	76.5	78.8	77.4	76	78.6
64	78.1	76.9	79.1	77.9	76.5	79
65	78.4	77.3	79.4	78.3	76.9	79.4
66	78.8	77.7	79.7	78.7	77.4	79.8
67	79.2	78.1	80	79.2	77.9	80.2
68	79.6	78.6	80.3	79.7	78.4	80.6
69	80	79.1	80.7	80.2	78.9	81.1
70	80.4	79.5	81.1	80.6	79.5	81.6
71	80.8	80	81.5	81.2	80	82
72	81.3	80.5	81.9	81.7	80.6	82.5
73	81.8	81.1	82.3	82.2	81.1	83
74	82.3	81.6	82.8	82.8	81.7	83.5
75	82.8	82.2	83.2	83.3	82.3	84.1
76	83.3	82.7	83.7	83.9	82.9	84.6
77	83.9	83.3	84.3	84.5	83.6	85.2
78	84.5	84	84.8	85.1	84.2	85.7
79	85.1	84.6	85.4	85.7	84.9	86.3
80	85.7	85.2	86	86.4	85.6	86.9
81	86.3	85.9	86.6	87	86.3	87.5
82	87	86.6	87.2	87.7	87	88.1
83	87.7	87.3	87.9	88.3	87.7	88.7
84	88.4	88	88.6	89	88.4	89.4
85	89.1	88.8	89.2	89.8	89.2	90.1
86	89.8	89.5	90	90.5	90	90.8
87	90.5	90.3	90.7	91.2	90.8	91.5
88	91.3	91	91.4	92	91.6	92.2
89	92.1	91.8	92.2	92.8	92.4	93
90	92.8	92.6	93	93.6	93.2	93.7
91	93.7	93.5	93.8	94.4	94	94.5
92	94.5	94.3	94.6	95.2	94.9	95.3
93	95.4	95.2	95.4	96	95.7	96.1
94	96.2	96.1	96.3	96.9	96.6	97
95	97.1	97	97.2	97.7	97.5	97.8
96	98	97.9	98	98.6	98.4	98.7
97	98.9	98.8	98.9	99.5	99.2	99.5
98	99.8	99.7	99.8	100.4	100.1	100.4
99	100.7	100.6	100.7	101.2	101	101.3
100	101.7	101.5	101.7	102.2	101.9	102.2

Odds of living to age in Myanmar vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 76.1% in Myanmar and 65.6% in Zimbabwe are expected to survive till at least 60 years old, 57.9% and 46.8% will live to 70 years or older, 28.6% and 23.2% to 80+ years, and 4.56% and 4.89% 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			Zimbabwe
	Average	Male	Female	Average	Male	Female
1	96.8%	96.3%	97.3%	96.9%	96.5%	97.2%
2	96.5%	96%	97%	96.4%	96%	96.7%
3	96.3%	95.8%	96.8%	96.1%	95.7%	96.4%
4	96.1%	95.6%	96.7%	95.8%	95.5%	96.2%
5	96%	95.4%	96.6%	95.7%	95.4%	96%
6	95.8%	95.2%	96.5%	95.6%	95.2%	95.9%
7	95.7%	95.1%	96.4%	95.5%	95.1%	95.8%
8	95.6%	94.9%	96.4%	95.4%	95%	95.7%
9	95.5%	94.8%	96.3%	95.3%	95%	95.6%
10	95.5%	94.7%	96.3%	95.2%	94.9%	95.6%
11	95.4%	94.6%	96.2%	95.1%	94.8%	95.5%
12	95.3%	94.5%	96.2%	95.1%	94.7%	95.4%
13	95.2%	94.4%	96.1%	95%	94.6%	95.4%
14	95.2%	94.3%	96.1%	94.9%	94.6%	95.3%
15	95.1%	94.2%	96%	94.8%	94.5%	95.2%
16	95%	94%	95.9%	94.7%	94.3%	95.1%
17	94.8%	93.9%	95.9%	94.6%	94.2%	95%
18	94.7%	93.7%	95.8%	94.4%	94%	94.9%
19	94.6%	93.5%	95.7%	94.3%	93.8%	94.7%
20	94.4%	93.3%	95.6%	94.1%	93.6%	94.5%
21	94.2%	93.1%	95.5%	93.9%	93.4%	94.4%
22	94.1%	92.8%	95.4%	93.7%	93.1%	94.2%
23	93.9%	92.6%	95.3%	93.4%	92.9%	94%
24	93.7%	92.3%	95.2%	93.2%	92.6%	93.8%
25	93.5%	92%	95%	92.9%	92.2%	93.5%
26	93.3%	91.8%	94.9%	92.6%	91.9%	93.3%
27	93.1%	91.5%	94.8%	92.3%	91.6%	93%
28	92.9%	91.3%	94.6%	91.9%	91.2%	92.7%
29	92.7%	91%	94.5%	91.6%	90.8%	92.4%
30	92.5%	90.7%	94.4%	91.2%	90.4%	92%
31	92.3%	90.5%	94.2%	90.8%	89.9%	91.7%
32	92.1%	90.2%	94%	90.4%	89.5%	91.3%
33	91.8%	89.9%	93.9%	90%	89%	90.9%
34	91.6%	89.6%	93.7%	89.5%	88.4%	90.5%
35	91.3%	89.3%	93.5%	89%	87.9%	90.1%
36	91.1%	89%	93.3%	88.5%	87.3%	89.6%
37	90.8%	88.6%	93.2%	87.9%	86.6%	89.1%
38	90.5%	88.3%	92.9%	87.4%	86%	88.6%
39	90.2%	87.9%	92.7%	86.7%	85.3%	88.1%
40	89.9%	87.5%	92.5%	86.1%	84.5%	87.5%
41	89.6%	87.1%	92.2%	85.4%	83.7%	87%
42	89.2%	86.6%	92%	84.7%	82.9%	86.4%
43	88.8%	86.2%	91.7%	84%	82.1%	85.7%
44	88.4%	85.7%	91.4%	83.2%	81.2%	85.1%
45	88%	85.1%	91.1%	82.5%	80.3%	84.4%
46	87.5%	84.5%	90.7%	81.6%	79.3%	83.7%
47	87%	83.9%	90.4%	80.8%	78.3%	82.9%
48	86.5%	83.3%	90%	79.9%	77.2%	82.2%
49	85.9%	82.6%	89.5%	78.9%	76.1%	81.3%
50	85.3%	81.8%	89%	78%	75%	80.5%
51	84.7%	81%	88.5%	76.9%	73.8%	79.6%
52	83.9%	80.1%	88%	75.9%	72.5%	78.7%
53	83.2%	79.2%	87.4%	74.8%	71.2%	77.7%
54	82.4%	78.2%	86.8%	73.6%	69.8%	76.7%
55	81.5%	77.2%	86.1%	72.4%	68.5%	75.6%
56	80.5%	76%	85.4%	71.2%	67%	74.5%
57	79.5%	74.8%	84.6%	69.9%	65.5%	73.3%
58	78.5%	73.5%	83.7%	68.5%	64%	72.1%
59	77.3%	72.1%	82.8%	67.1%	62.4%	70.9%
60	76.1%	70.6%	81.8%	65.6%	60.7%	69.6%
61	74.7%	69%	80.7%	64%	59%	68.1%
62	73.3%	67.4%	79.6%	62.4%	57.1%	66.7%
63	71.8%	65.6%	78.3%	60.7%	55.3%	65.1%
64	70.1%	63.7%	76.9%	58.9%	53.3%	63.5%
65	68.4%	61.7%	75.4%	57%	51.3%	61.8%
66	66.5%	59.6%	73.8%	55.1%	49.2%	59.9%
67	64.6%	57.4%	72.1%	53.1%	47.1%	58.1%
68	62.5%	55.1%	70.2%	51.1%	44.9%	56.1%
69	60.2%	52.7%	68.1%	49%	42.7%	54.1%
70	57.9%	50.2%	65.9%	46.8%	40.5%	52.1%
71	55.4%	47.6%	63.6%	44.6%	38.2%	49.9%
72	52.8%	45%	61%	42.3%	35.8%	47.7%
73	50.1%	42.2%	58.3%	39.9%	33.4%	45.4%
74	47.2%	39.3%	55.4%	37.6%	31%	43.1%
75	44.3%	36.5%	52.4%	35.2%	28.6%	40.7%
76	41.2%	33.5%	49.3%	32.7%	26.3%	38.3%
77	38.1%	30.6%	46%	30.3%	23.9%	35.8%
78	35%	27.7%	42.6%	27.9%	21.6%	33.4%
79	31.8%	24.8%	39.1%	25.5%	19.4%	30.9%
80	28.6%	22%	35.5%	23.2%	17.2%	28.5%
81	25.4%	19.2%	31.9%	20.9%	15.1%	26%
82	22.4%	16.7%	28.3%	18.7%	13.2%	23.6%
83	19.4%	14.2%	24.8%	16.5%	11.3%	21.2%
84	16.6%	12%	21.5%	14.4%	9.61%	18.8%
85	14%	9.9%	18.3%	12.4%	8.05%	16.5%
86	11.7%	8.06%	15.4%	10.6%	6.66%	14.3%
87	9.53%	6.44%	12.8%	8.93%	5.43%	12.2%
88	7.63%	5.03%	10.4%	7.41%	4.36%	10.3%
89	5.98%	3.83%	8.22%	6.06%	3.44%	8.59%
90	4.56%	2.84%	6.36%	4.89%	2.68%	7.05%
91	3.39%	2.04%	4.79%	3.87%	2.04%	5.66%
92	2.44%	1.42%	3.51%	3.02%	1.53%	4.5%
93	1.71%	0.96%	2.49%	2.31%	1.13%	3.5%
94	1.17%	0.63%	1.72%	1.74%	0.81%	2.66%
95	0.77%	0.4%	1.16%	1.28%	0.57%	1.99%
96	0.5%	0.25%	0.75%	0.92%	0.4%	1.45%
97	0.31%	0.15%	0.48%	0.65%	0.27%	1.03%
98	0.19%	0.09%	0.29%	0.45%	0.18%	0.72%
99	0.11%	0.05%	0.17%	0.3%	0.11%	0.49%
100	0.06%	0.03%	0.1%	0.2%	0.07%	0.33%

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 3.14% in Zimbabwe, 0.23% vs 0.43% at age 30, 1.76% vs 2.4% at 60, and 11% vs 9.93% at 80.

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

Table

Age	Probability of dying
	Myanmar			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	3.24%	3.74%	2.71%	3.14%	3.48%	2.78%
1	0.26%	0.27%	0.26%	0.51%	0.49%	0.54%
2	0.22%	0.24%	0.2%	0.33%	0.32%	0.33%
3	0.18%	0.21%	0.15%	0.23%	0.23%	0.22%
4	0.15%	0.19%	0.11%	0.16%	0.17%	0.16%
5	0.13%	0.17%	0.09%	0.12%	0.13%	0.12%
6	0.11%	0.15%	0.07%	0.11%	0.11%	0.1%
7	0.1%	0.14%	0.06%	0.09%	0.1%	0.09%
8	0.09%	0.13%	0.05%	0.08%	0.09%	0.08%
9	0.08%	0.12%	0.05%	0.08%	0.08%	0.07%
10	0.08%	0.11%	0.05%	0.08%	0.08%	0.07%
11	0.08%	0.11%	0.05%	0.08%	0.08%	0.07%
12	0.08%	0.11%	0.05%	0.08%	0.09%	0.07%
13	0.09%	0.12%	0.05%	0.09%	0.09%	0.08%
14	0.1%	0.13%	0.06%	0.1%	0.11%	0.09%
15	0.11%	0.14%	0.07%	0.11%	0.12%	0.11%
16	0.12%	0.16%	0.08%	0.13%	0.15%	0.12%
17	0.14%	0.19%	0.09%	0.16%	0.18%	0.14%
18	0.15%	0.21%	0.09%	0.18%	0.21%	0.15%
19	0.17%	0.23%	0.1%	0.2%	0.23%	0.17%
20	0.18%	0.25%	0.11%	0.22%	0.25%	0.19%
21	0.19%	0.26%	0.11%	0.24%	0.27%	0.2%
22	0.2%	0.27%	0.12%	0.26%	0.3%	0.22%
23	0.2%	0.28%	0.12%	0.28%	0.32%	0.24%
24	0.21%	0.28%	0.13%	0.3%	0.34%	0.25%
25	0.21%	0.28%	0.13%	0.32%	0.36%	0.27%
26	0.21%	0.28%	0.14%	0.34%	0.38%	0.3%
27	0.21%	0.28%	0.14%	0.36%	0.41%	0.32%
28	0.22%	0.28%	0.15%	0.38%	0.43%	0.34%
29	0.22%	0.29%	0.15%	0.41%	0.46%	0.36%
30	0.23%	0.3%	0.16%	0.43%	0.49%	0.38%
31	0.24%	0.31%	0.17%	0.45%	0.52%	0.4%
32	0.25%	0.32%	0.17%	0.49%	0.56%	0.43%
33	0.26%	0.33%	0.18%	0.52%	0.59%	0.45%
34	0.27%	0.35%	0.19%	0.55%	0.64%	0.48%
35	0.28%	0.36%	0.2%	0.59%	0.68%	0.51%
36	0.3%	0.38%	0.21%	0.62%	0.72%	0.54%
37	0.31%	0.4%	0.22%	0.66%	0.77%	0.57%
38	0.33%	0.43%	0.24%	0.7%	0.82%	0.6%
39	0.35%	0.45%	0.25%	0.74%	0.87%	0.63%
40	0.37%	0.48%	0.27%	0.78%	0.92%	0.67%
41	0.4%	0.51%	0.29%	0.82%	0.97%	0.69%
42	0.43%	0.55%	0.3%	0.86%	1.02%	0.73%
43	0.46%	0.59%	0.33%	0.9%	1.08%	0.76%
44	0.49%	0.63%	0.35%	0.95%	1.14%	0.8%
45	0.53%	0.67%	0.38%	1%	1.21%	0.84%
46	0.57%	0.72%	0.41%	1.05%	1.28%	0.89%
47	0.61%	0.78%	0.45%	1.11%	1.35%	0.94%
48	0.66%	0.84%	0.48%	1.17%	1.43%	0.99%
49	0.72%	0.91%	0.52%	1.24%	1.52%	1.05%
50	0.78%	0.99%	0.57%	1.32%	1.62%	1.12%
51	0.84%	1.07%	0.62%	1.38%	1.7%	1.17%
52	0.91%	1.16%	0.67%	1.46%	1.8%	1.25%
53	0.98%	1.26%	0.72%	1.54%	1.89%	1.31%
54	1.07%	1.36%	0.78%	1.62%	2%	1.38%
55	1.15%	1.48%	0.85%	1.72%	2.11%	1.46%
56	1.25%	1.6%	0.92%	1.82%	2.22%	1.55%
57	1.36%	1.74%	1%	1.94%	2.35%	1.64%
58	1.48%	1.89%	1.09%	2.08%	2.51%	1.75%
59	1.61%	2.06%	1.2%	2.22%	2.67%	1.87%
60	1.76%	2.24%	1.32%	2.4%	2.89%	2.02%
61	1.91%	2.43%	1.45%	2.55%	3.07%	2.15%
62	2.09%	2.65%	1.6%	2.75%	3.3%	2.33%
63	2.28%	2.87%	1.76%	2.95%	3.53%	2.51%
64	2.49%	3.12%	1.94%	3.16%	3.77%	2.72%
65	2.71%	3.39%	2.14%	3.4%	4.03%	2.95%
66	2.96%	3.68%	2.37%	3.61%	4.29%	3.12%
67	3.24%	4%	2.62%	3.85%	4.59%	3.33%
68	3.56%	4.35%	2.91%	4.12%	4.93%	3.57%
69	3.91%	4.74%	3.24%	4.41%	5.28%	3.81%
70	4.29%	5.17%	3.6%	4.79%	5.74%	4.14%
71	4.72%	5.64%	4.01%	5.1%	6.12%	4.39%
72	5.18%	6.16%	4.44%	5.54%	6.65%	4.78%
73	5.69%	6.72%	4.92%	5.96%	7.16%	5.13%
74	6.24%	7.34%	5.44%	6.42%	7.71%	5.53%
75	6.84%	8.01%	6.02%	6.91%	8.32%	5.96%
76	7.51%	8.75%	6.67%	7.41%	8.94%	6.39%
77	8.27%	9.55%	7.4%	7.93%	9.61%	6.83%
78	9.11%	10.4%	8.22%	8.57%	10.4%	7.41%
79	10%	11.4%	9.15%	9.15%	11.2%	7.89%
80	11%	12.4%	10.2%	9.93%	12.1%	8.6%
81	12.1%	13.5%	11.2%	10.6%	12.9%	9.19%
82	13.2%	14.6%	12.3%	11.6%	14%	10.3%
83	14.4%	15.9%	13.5%	12.6%	15.1%	11.2%
84	15.6%	17.2%	14.6%	13.7%	16.2%	12.3%
85	16.9%	18.6%	15.9%	14.7%	17.3%	13.3%
86	18.3%	20.2%	17.3%	15.9%	18.5%	14.5%
87	19.9%	21.9%	18.8%	17%	19.7%	15.6%
88	21.7%	23.8%	20.6%	18.2%	21%	16.8%
89	23.7%	25.9%	22.6%	19.4%	22.2%	18%
90	25.8%	28%	24.7%	20.9%	23.7%	19.6%
91	27.9%	30.2%	26.8%	21.9%	24.9%	20.6%
92	29.9%	32.3%	28.9%	23.5%	26.5%	22.3%
93	31.9%	34.4%	30.9%	24.9%	27.9%	23.8%
94	33.8%	36.3%	32.9%	26.5%	29.5%	25.4%
95	35.6%	38.2%	34.7%	28.1%	31%	27.1%
96	37.4%	40%	36.6%	29.6%	32.5%	28.7%
97	39.3%	41.9%	38.5%	31.1%	33.9%	30.2%
98	41.2%	43.8%	40.5%	32.4%	35.2%	31.7%
99	43.2%	45.7%	42.6%	34.3%	36.9%	33.6%
100	45%	47.5%	44.5%	35.7%	38.2%	35%

Death rate by age in Myanmar compared to Zimbabwe

In Myanmar, the most common age of death is 0, compared to 0 in Zimbabwe. The median age of death is 73 in Myanmar and 68.5 in Zimbabwe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Myanmar			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	3,244	3,744	2,712	3,136	3,483	2,783
1	256	255.7	256.4	497	473	521
2	210.3	227.6	191.8	315	310	320
3	175	203.2	144.8	216.2	216.8	215.5
4	147.5	181.6	111	156.9	160.1	153.6
5	126	162.5	87	118.8	121.5	116
6	109.4	145.7	70.4	100.5	104.5	96.4
7	96.5	131.3	59.3	89.4	93.9	84.7
8	87	119.6	52.1	80.4	84.8	75.8
9	80.4	110.7	48	74.6	78.4	70.8
10	76.6	105	46.2	72.1	76.1	68.1
11	75.7	103	46.5	72.7	77.8	67.4
12	77.7	104.8	48.7	75.8	81.1	70.4
13	82.8	110.9	52.7	82.5	87.9	77.1
14	90.9	121.4	58.4	93.4	100.1	86.5
15	101.9	136	65.4	109	117.7	100.2
16	115.3	154.3	73.6	126.2	138.7	113.6
17	130	174.8	82.1	147.2	165.3	128.9
18	144.9	196	90.4	169.5	193.7	145.2
19	158.9	216.1	97.8	187.5	214.4	160.3
20	170.8	233.2	104.2	205.9	235.6	176.2
21	180.2	246.2	109.7	222	256.1	188.1
22	186.7	254.4	114.4	240.5	276.8	204.7
23	190.7	258.2	118.7	258.3	296.1	221.4
24	193.1	259	122.8	275.7	314	238.6
25	194.6	258.2	126.8	294.1	334	256.2
26	196.3	257.4	131.2	313	353	275.5
27	198.5	257.6	135.6	333	374	295
28	201.8	259.6	140.2	352	396	312
29	206.4	263.9	145.2	372	419	333
30	212.2	270.3	150.5	395	446	351
31	219.5	278.7	156.6	413	468	366
32	227.9	288.6	163.2	439	498	390
33	237.2	299.8	170.6	464	528	411
34	247.6	312	178.8	492	562	434
35	258.9	326	187.9	524	598	462
36	271.5	341	197.8	551	631	485
37	285.5	357	208.7	582	668	508
38	301	376	220.5	611	704	534
39	318	398	233.3	639	738	557
40	337	421	247.4	673	780	583
41	358	447	263	698	808	604
42	381	475	280.5	729	847	629
43	406	506	300	758	884	654
44	434	539	322	789	924	680
45	464	574	347	826	970	713
46	497	613	373	859	1,012	742
47	533	655	403	896	1,058	777
48	572	701	435	937	1,108	817
49	615	752	469	976	1,156	856
50	661	807	506	1,026	1,217	902
51	710	866	545	1,061	1,254	934
52	763	929	587	1,109	1,307	980
53	818	995	631	1,148	1,349	1,017
54	877	1,065	678	1,193	1,395	1,060
55	940	1,140	730	1,244	1,446	1,104
56	1,008	1,218	786	1,297	1,490	1,153
57	1,080	1,301	847	1,355	1,542	1,203
58	1,159	1,389	916	1,422	1,603	1,262
59	1,244	1,483	993	1,489	1,666	1,323
60	1,335	1,580	1,078	1,576	1,757	1,402
61	1,430	1,680	1,170	1,633	1,808	1,466
62	1,531	1,782	1,269	1,717	1,888	1,555
63	1,635	1,884	1,377	1,788	1,949	1,637
64	1,743	1,987	1,492	1,862	2,010	1,726
65	1,856	2,089	1,615	1,941	2,070	1,823
66	1,972	2,192	1,748	1,987	2,114	1,872
67	2,094	2,295	1,891	2,044	2,164	1,934
68	2,221	2,397	2,045	2,105	2,214	2,002
69	2,352	2,499	2,207	2,159	2,257	2,062
70	2,485	2,597	2,376	2,242	2,322	2,156
71	2,614	2,688	2,546	2,272	2,337	2,192
72	2,735	2,769	2,711	2,345	2,383	2,282
73	2,846	2,836	2,869	2,380	2,394	2,332
74	2,944	2,888	3,017	2,411	2,394	2,385
75	3,029	2,921	3,155	2,430	2,383	2,429
76	3,098	2,933	3,283	2,425	2,347	2,449
77	3,153	2,923	3,401	2,403	2,297	2,449
78	3,189	2,887	3,502	2,392	2,248	2,474
79	3,192	2,822	3,575	2,333	2,161	2,441
80	3,158	2,726	3,606	2,302	2,087	2,449
81	3,081	2,597	3,582	2,209	1,956	2,393
82	2,956	2,439	3,493	2,170	1,848	2,423
83	2,789	2,255	3,344	2,075	1,706	2,376
84	2,589	2,054	3,145	1,972	1,560	2,317
85	2,367	1,842	2,913	1,833	1,396	2,205
86	2,134	1,626	2,663	1,685	1,233	2,076
87	1,896	1,410	2,402	1,517	1,069	1,910
88	1,656	1,197	2,133	1,349	914	1,739
89	1,414	991	1,855	1,174	765	1,548
90	1,175	796	1,570	1,021	635	1,382
91	944	617	1,286	847	508	1,167
92	732	461	1,015	709	406	1,001
93	547	331	772	576	315	830
94	394	229.7	566	459	239.6	676
95	274.8	153.9	401	359	177.9	539
96	186	99.7	276.3	271.7	128.5	416
97	122.1	62.6	184.4	200.6	90.4	312
98	77.7	38	119.3	144.5	62.1	228.5
99	47.8	22.3	74.5	103.1	42.2	165.5
100	0	0	0	24.2	0	51.9

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 Zimbabwe 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 Zimbabwe: Side-by-Side Comparison

By topic vs comparisons:

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