Life Expectancy in Myanmar vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Myanmar

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Myanmar			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	101.7	101.6	101.7	102.2	101.9	102.2
99	100.7	100.6	100.7	101.2	101	101.3
98	99.8	99.7	99.8	100.4	100.1	100.4
97	98.9	98.8	98.9	99.5	99.2	99.5
96	98	97.9	98	98.6	98.4	98.7
95	97.1	97	97.2	97.7	97.5	97.8
94	96.2	96.1	96.3	96.9	96.6	97
93	95.4	95.2	95.4	96	95.7	96.1
92	94.5	94.3	94.6	95.2	94.9	95.3
91	93.7	93.5	93.8	94.4	94	94.5
90	92.9	92.6	93	93.6	93.2	93.8
89	92.1	91.8	92.2	92.8	92.4	93
88	91.3	91	91.4	92	91.6	92.2
87	90.5	90.3	90.7	91.2	90.8	91.5
86	89.8	89.5	90	90.5	90	90.8
85	89.1	88.8	89.3	89.8	89.2	90.1
84	88.4	88	88.6	89	88.4	89.4
83	87.7	87.3	87.9	88.4	87.7	88.7
82	87	86.6	87.2	87.7	87	88.1
81	86.3	85.9	86.6	87	86.3	87.5
80	85.7	85.3	86	86.4	85.6	86.9
79	85.1	84.6	85.4	85.8	84.9	86.3
78	84.5	84	84.8	85.1	84.2	85.7
77	83.9	83.4	84.3	84.5	83.6	85.2
76	83.3	82.8	83.8	83.9	83	84.6
75	82.8	82.2	83.3	83.4	82.3	84.1
74	82.3	81.6	82.8	82.8	81.7	83.5
73	81.8	81.1	82.3	82.2	81.2	83
72	81.3	80.5	81.9	81.7	80.6	82.5
71	80.9	80	81.5	81.2	80	82.1
70	80.4	79.5	81.1	80.7	79.5	81.6
69	80	79.1	80.7	80.2	79	81.1
68	79.6	78.6	80.4	79.7	78.4	80.7
67	79.2	78.2	80	79.2	77.9	80.2
66	78.8	77.7	79.7	78.8	77.5	79.8
65	78.5	77.3	79.4	78.3	77	79.4
64	78.1	76.9	79.1	77.9	76.5	79
63	77.8	76.6	78.9	77.5	76.1	78.6
62	77.5	76.2	78.6	77.1	75.6	78.2
61	77.2	75.8	78.4	76.7	75.2	77.9
60	76.9	75.5	78.1	76.3	74.8	77.5
59	76.6	75.2	77.9	75.9	74.4	77.2
58	76.3	74.8	77.7	75.6	74	76.9
57	76.1	74.5	77.5	75.2	73.6	76.6
56	75.8	74.3	77.3	74.9	73.2	76.3
55	75.6	74	77.1	74.6	72.8	76
54	75.4	73.7	76.9	74.2	72.5	75.7
53	75.2	73.5	76.8	73.9	72.1	75.4
52	75	73.2	76.6	73.6	71.8	75.1
51	74.8	73	76.5	73.3	71.4	74.8
50	74.6	72.8	76.3	73	71.1	74.6
49	74.4	72.6	76.2	72.7	70.8	74.3
48	74.2	72.4	76	72.5	70.5	74
47	74.1	72.2	75.9	72.2	70.2	73.8
46	73.9	72	75.8	71.9	69.9	73.6
45	73.8	71.8	75.7	71.7	69.6	73.3
44	73.6	71.6	75.6	71.4	69.3	73.1
43	73.5	71.5	75.5	71.2	69	72.9
42	73.4	71.3	75.4	70.9	68.7	72.7
41	73.2	71.2	75.3	70.7	68.5	72.5
40	73.1	71	75.2	70.5	68.2	72.2
39	73	70.9	75.1	70.2	68	72
38	72.9	70.8	75	70	67.8	71.9
37	72.8	70.6	74.9	69.8	67.5	71.7
36	72.7	70.5	74.9	69.6	67.3	71.5
35	72.6	70.4	74.8	69.4	67.1	71.3
34	72.5	70.2	74.7	69.2	66.9	71.1
33	72.4	70.1	74.6	69	66.7	71
32	72.3	70	74.6	68.9	66.5	70.8
31	72.2	69.9	74.5	68.7	66.3	70.6
30	72.1	69.8	74.4	68.5	66.2	70.5
29	72	69.7	74.4	68.4	66	70.4
28	71.9	69.5	74.3	68.2	65.8	70.2
27	71.8	69.4	74.2	68.1	65.7	70.1
26	71.7	69.3	74.2	68	65.5	70
25	71.6	69.2	74.1	67.8	65.4	69.8
24	71.5	69.1	74	67.7	65.3	69.7
23	71.4	68.9	74	67.6	65.1	69.6
22	71.3	68.8	73.9	67.5	65	69.5
21	71.2	68.7	73.9	67.4	64.9	69.4
20	71.2	68.6	73.8	67.3	64.8	69.3
19	71.1	68.5	73.7	67.2	64.7	69.3
18	71	68.4	73.7	67.1	64.6	69.2
17	70.9	68.3	73.6	67	64.5	69.1
16	70.9	68.2	73.6	67	64.4	69.1
15	70.8	68.1	73.6	66.9	64.4	69
14	70.7	68	73.5	66.8	64.3	69
13	70.7	68	73.5	66.8	64.3	68.9
12	70.7	67.9	73.5	66.8	64.2	68.9
11	70.6	67.9	73.4	66.7	64.2	68.8
10	70.6	67.8	73.4	66.7	64.2	68.8
9	70.5	67.7	73.4	66.6	64.1	68.8
8	70.5	67.7	73.3	66.6	64.1	68.7
7	70.4	67.6	73.3	66.5	64	68.7
6	70.3	67.5	73.3	66.5	64	68.6
5	70.2	67.4	73.2	66.4	63.9	68.5
4	70.1	67.3	73.1	66.3	63.8	68.4
3	70	67.1	73	66.2	63.6	68.3
2	69.9	67	72.9	66	63.5	68.1
1	69.7	66.8	72.7	65.6	63.2	67.7
0	67.5	64.4	70.8	63.6	61	65.9

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 68.5 in Zimbabwe, rising to 78.5 and 78.3 at 65, and to 85.7 and 86.4 at 80 — higher than the 67.5 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Myanmar

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Myanmar			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	0.06%	0.03%	0.1%	0.2%	0.07%	0.33%
99	0.11%	0.05%	0.18%	0.31%	0.12%	0.5%
98	0.19%	0.09%	0.3%	0.46%	0.18%	0.73%
97	0.32%	0.15%	0.49%	0.66%	0.27%	1.05%
96	0.51%	0.25%	0.77%	0.94%	0.4%	1.47%
95	0.79%	0.41%	1.18%	1.3%	0.59%	2.02%
94	1.19%	0.64%	1.76%	1.77%	0.83%	2.71%
93	1.74%	0.98%	2.54%	2.36%	1.15%	3.55%
92	2.49%	1.45%	3.57%	3.08%	1.57%	4.57%
91	3.44%	2.07%	4.87%	3.95%	2.09%	5.75%
90	4.63%	2.88%	6.46%	4.99%	2.73%	7.15%
89	6.06%	3.88%	8.34%	6.18%	3.51%	8.72%
88	7.74%	5.09%	10.5%	7.56%	4.44%	10.5%
87	9.65%	6.52%	12.9%	9.1%	5.53%	12.4%
86	11.8%	8.16%	15.6%	10.8%	6.78%	14.5%
85	14.2%	10%	18.5%	12.7%	8.2%	16.8%
84	16.8%	12.1%	21.7%	14.7%	9.78%	19.1%
83	19.6%	14.4%	25.1%	16.8%	11.5%	21.5%
82	22.6%	16.8%	28.6%	19%	13.4%	24%
81	25.7%	19.4%	32.2%	21.2%	15.4%	26.4%
80	28.9%	22.2%	35.8%	23.5%	17.5%	28.8%
79	32.1%	25%	39.4%	25.9%	19.7%	31.3%
78	35.3%	27.9%	42.9%	28.3%	21.9%	33.8%
77	38.4%	30.9%	46.3%	30.7%	24.3%	36.3%
76	41.5%	33.8%	49.6%	33.2%	26.6%	38.7%
75	44.6%	36.7%	52.8%	35.6%	29%	41.2%
74	47.5%	39.6%	55.8%	38%	31.4%	43.6%
73	50.4%	42.5%	58.7%	40.4%	33.9%	45.9%
72	53.1%	45.3%	61.4%	42.8%	36.3%	48.2%
71	55.7%	48%	63.9%	45.1%	38.6%	50.4%
70	58.2%	50.6%	66.3%	47.3%	40.9%	52.6%
69	60.6%	53.1%	68.5%	49.5%	43.2%	54.7%
68	62.8%	55.5%	70.5%	51.6%	45.4%	56.7%
67	64.9%	57.8%	72.4%	53.6%	47.6%	58.6%
66	66.9%	60%	74.2%	55.6%	49.7%	60.5%
65	68.7%	62%	75.8%	57.6%	51.8%	62.3%
64	70.5%	64%	77.3%	59.5%	53.8%	64%
63	72.1%	65.9%	78.6%	61.2%	55.8%	65.7%
62	73.6%	67.7%	79.9%	63%	57.7%	67.2%
61	75%	69.4%	81.1%	64.6%	59.5%	68.7%
60	76.4%	71%	82.1%	66.2%	61.2%	70.1%
59	77.6%	72.4%	83.1%	67.6%	62.9%	71.4%
58	78.8%	73.8%	84%	69.1%	64.5%	72.7%
57	79.9%	75.1%	84.9%	70.4%	66%	73.9%
56	80.9%	76.3%	85.7%	71.7%	67.5%	75%
55	81.8%	77.5%	86.4%	72.9%	69%	76.1%
54	82.7%	78.5%	87.1%	74.1%	70.3%	77.2%
53	83.5%	79.5%	87.7%	75.2%	71.7%	78.2%
52	84.2%	80.4%	88.3%	76.3%	73%	79.1%
51	84.9%	81.3%	88.8%	77.4%	74.2%	80.1%
50	85.6%	82.1%	89.3%	78.4%	75.4%	81%
49	86.2%	82.9%	89.8%	79.4%	76.6%	81.8%
48	86.8%	83.5%	90.2%	80.3%	77.7%	82.6%
47	87.3%	84.2%	90.6%	81.2%	78.7%	83.4%
46	87.8%	84.8%	91%	82%	79.7%	84.1%
45	88.2%	85.4%	91.3%	82.9%	80.7%	84.8%
44	88.7%	85.9%	91.6%	83.6%	81.6%	85.5%
43	89.1%	86.4%	91.9%	84.4%	82.5%	86.1%
42	89.5%	86.9%	92.2%	85.1%	83.3%	86.7%
41	89.8%	87.3%	92.5%	85.8%	84.1%	87.3%
40	90.1%	87.7%	92.7%	86.4%	84.9%	87.9%
39	90.5%	88.1%	92.9%	87.1%	85.6%	88.4%
38	90.7%	88.5%	93.1%	87.7%	86.3%	89%
37	91%	88.9%	93.4%	88.2%	86.9%	89.5%
36	91.3%	89.2%	93.5%	88.8%	87.5%	89.9%
35	91.6%	89.5%	93.7%	89.3%	88.1%	90.4%
34	91.8%	89.8%	93.9%	89.8%	88.7%	90.8%
33	92%	90.1%	94.1%	90.2%	89.2%	91.2%
32	92.3%	90.4%	94.2%	90.7%	89.7%	91.6%
31	92.5%	90.7%	94.4%	91.1%	90.1%	91.9%
30	92.7%	90.9%	94.5%	91.4%	90.6%	92.3%
29	92.9%	91.2%	94.7%	91.8%	91%	92.6%
28	93.1%	91.4%	94.8%	92.1%	91.4%	92.9%
27	93.3%	91.7%	94.9%	92.5%	91.7%	93.2%
26	93.5%	92%	95.1%	92.8%	92.1%	93.5%
25	93.6%	92.2%	95.2%	93.1%	92.4%	93.7%
24	93.8%	92.5%	95.3%	93.3%	92.7%	93.9%
23	94%	92.7%	95.4%	93.6%	93%	94.2%
22	94.2%	93%	95.5%	93.8%	93.3%	94.4%
21	94.4%	93.2%	95.6%	94%	93.5%	94.5%
20	94.6%	93.4%	95.7%	94.2%	93.8%	94.7%
19	94.7%	93.6%	95.8%	94.4%	94%	94.9%
18	94.8%	93.8%	95.9%	94.6%	94.2%	95%
17	95%	94%	96%	94.7%	94.3%	95.1%
16	95.1%	94.2%	96.1%	94.8%	94.5%	95.2%
15	95.2%	94.3%	96.1%	94.9%	94.6%	95.3%
14	95.3%	94.4%	96.2%	95%	94.7%	95.4%
13	95.4%	94.5%	96.2%	95.1%	94.8%	95.5%
12	95.4%	94.6%	96.3%	95.2%	94.8%	95.6%
11	95.5%	94.7%	96.3%	95.3%	94.9%	95.6%
10	95.6%	94.8%	96.4%	95.3%	95%	95.7%
9	95.7%	94.9%	96.4%	95.4%	95.1%	95.8%
8	95.7%	95%	96.5%	95.5%	95.1%	95.8%
7	95.8%	95.2%	96.5%	95.6%	95.2%	95.9%
6	95.9%	95.3%	96.6%	95.7%	95.3%	96%
5	96.1%	95.5%	96.7%	95.8%	95.5%	96.1%
4	96.2%	95.7%	96.8%	95.9%	95.6%	96.3%
3	96.4%	95.9%	96.9%	96.2%	95.8%	96.5%
2	96.6%	96.1%	97.1%	96.5%	96.1%	96.8%
1	96.8%	96.3%	97.4%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 76.4% of newborns in Myanmar and 66.2% in Zimbabwe are expected to live past 60, 58.2% and 47.3% past 70, 28.9% and 23.5% past 80, and only 4.63% and 4.99% 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

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Myanmar			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	45%	47.5%	44.5%	35.7%	38.2%	35%
99	43.2%	45.6%	42.5%	34.3%	36.9%	33.6%
98	41.2%	43.7%	40.5%	32.4%	35.2%	31.7%
97	39.3%	41.8%	38.5%	31.1%	33.9%	30.2%
96	37.4%	40%	36.5%	29.6%	32.5%	28.7%
95	35.6%	38.1%	34.7%	28.1%	31%	27.1%
94	33.7%	36.3%	32.8%	26.4%	29.5%	25.4%
93	31.9%	34.3%	30.9%	24.9%	27.9%	23.7%
92	29.9%	32.3%	28.9%	23.5%	26.4%	22.2%
91	27.8%	30.2%	26.8%	21.9%	24.9%	20.6%
90	25.7%	28%	24.6%	20.9%	23.7%	19.6%
89	23.6%	25.8%	22.5%	19.3%	22.2%	18%
88	21.6%	23.8%	20.5%	18.2%	20.9%	16.8%
87	19.8%	21.9%	18.8%	16.9%	19.7%	15.6%
86	18.2%	20.1%	17.2%	15.8%	18.5%	14.5%
85	16.8%	18.6%	15.8%	14.7%	17.3%	13.3%
84	15.5%	17.1%	14.6%	13.6%	16.2%	12.3%
83	14.3%	15.8%	13.4%	12.5%	15%	11.2%
82	13.2%	14.6%	12.3%	11.6%	14%	10.2%
81	12.1%	13.5%	11.2%	10.5%	12.9%	9.17%
80	11%	12.4%	10.1%	9.89%	12.1%	8.58%
79	10%	11.3%	9.11%	9.11%	11.1%	7.87%
78	9.07%	10.4%	8.19%	8.54%	10.4%	7.38%
77	8.23%	9.52%	7.36%	7.89%	9.57%	6.81%
76	7.48%	8.72%	6.63%	7.37%	8.9%	6.37%
75	6.81%	7.98%	5.99%	6.87%	8.28%	5.94%
74	6.21%	7.31%	5.41%	6.38%	7.68%	5.51%
73	5.66%	6.7%	4.89%	5.92%	7.12%	5.11%
72	5.16%	6.13%	4.42%	5.51%	6.62%	4.76%
71	4.69%	5.62%	3.98%	5.06%	6.09%	4.37%
70	4.27%	5.15%	3.58%	4.75%	5.7%	4.11%
69	3.88%	4.72%	3.22%	4.38%	5.25%	3.78%
68	3.54%	4.33%	2.89%	4.09%	4.9%	3.54%
67	3.23%	3.98%	2.6%	3.82%	4.56%	3.31%
66	2.95%	3.66%	2.35%	3.58%	4.26%	3.1%
65	2.7%	3.37%	2.12%	3.38%	4.01%	2.93%
64	2.47%	3.1%	1.92%	3.14%	3.74%	2.7%
63	2.26%	2.86%	1.74%	2.92%	3.5%	2.49%
62	2.07%	2.63%	1.58%	2.73%	3.28%	2.31%
61	1.9%	2.42%	1.44%	2.53%	3.04%	2.13%
60	1.74%	2.22%	1.31%	2.37%	2.87%	1.99%
59	1.6%	2.04%	1.19%	2.19%	2.65%	1.85%
58	1.47%	1.88%	1.08%	2.04%	2.48%	1.73%
57	1.35%	1.73%	0.99%	1.91%	2.33%	1.62%
56	1.24%	1.59%	0.91%	1.79%	2.2%	1.53%
55	1.14%	1.47%	0.84%	1.69%	2.09%	1.44%
54	1.06%	1.35%	0.77%	1.6%	1.97%	1.36%
53	0.97%	1.25%	0.71%	1.52%	1.87%	1.29%
52	0.9%	1.15%	0.66%	1.44%	1.78%	1.23%
51	0.83%	1.06%	0.61%	1.36%	1.68%	1.15%
50	0.77%	0.98%	0.56%	1.3%	1.6%	1.1%
49	0.71%	0.9%	0.52%	1.22%	1.5%	1.03%
48	0.65%	0.83%	0.48%	1.16%	1.41%	0.98%
47	0.6%	0.77%	0.44%	1.09%	1.33%	0.92%
46	0.56%	0.72%	0.41%	1.04%	1.25%	0.87%
45	0.52%	0.67%	0.37%	0.99%	1.19%	0.83%
44	0.48%	0.62%	0.35%	0.93%	1.12%	0.78%
43	0.45%	0.58%	0.32%	0.89%	1.06%	0.75%
42	0.42%	0.54%	0.3%	0.84%	1%	0.71%
41	0.39%	0.51%	0.28%	0.8%	0.95%	0.68%
40	0.37%	0.47%	0.26%	0.76%	0.9%	0.65%
39	0.35%	0.45%	0.25%	0.72%	0.85%	0.62%
38	0.33%	0.42%	0.23%	0.68%	0.8%	0.59%
37	0.31%	0.4%	0.22%	0.64%	0.75%	0.55%
36	0.29%	0.38%	0.21%	0.61%	0.71%	0.53%
35	0.28%	0.36%	0.2%	0.57%	0.66%	0.5%
34	0.26%	0.34%	0.19%	0.54%	0.62%	0.47%
33	0.25%	0.33%	0.18%	0.5%	0.58%	0.44%
32	0.24%	0.31%	0.17%	0.47%	0.54%	0.41%
31	0.23%	0.3%	0.16%	0.44%	0.51%	0.39%
30	0.22%	0.29%	0.16%	0.42%	0.48%	0.37%
29	0.22%	0.28%	0.15%	0.4%	0.45%	0.35%
28	0.21%	0.28%	0.14%	0.37%	0.42%	0.33%
27	0.21%	0.28%	0.14%	0.35%	0.4%	0.31%
26	0.21%	0.27%	0.13%	0.33%	0.37%	0.29%
25	0.2%	0.27%	0.13%	0.31%	0.35%	0.26%
24	0.2%	0.27%	0.13%	0.29%	0.33%	0.25%
23	0.2%	0.27%	0.12%	0.27%	0.31%	0.23%
22	0.19%	0.27%	0.12%	0.25%	0.29%	0.21%
21	0.19%	0.26%	0.11%	0.23%	0.27%	0.19%
20	0.18%	0.24%	0.11%	0.21%	0.25%	0.18%
19	0.16%	0.23%	0.1%	0.19%	0.22%	0.16%
18	0.15%	0.2%	0.09%	0.17%	0.2%	0.15%
17	0.13%	0.18%	0.08%	0.15%	0.17%	0.13%
16	0.12%	0.16%	0.07%	0.13%	0.14%	0.12%
15	0.1%	0.14%	0.07%	0.11%	0.12%	0.1%
14	0.09%	0.13%	0.06%	0.1%	0.1%	0.09%
13	0.08%	0.11%	0.05%	0.08%	0.09%	0.08%
12	0.08%	0.11%	0.05%	0.08%	0.08%	0.07%
11	0.08%	0.11%	0.05%	0.07%	0.08%	0.07%
10	0.08%	0.11%	0.05%	0.07%	0.08%	0.07%
9	0.08%	0.11%	0.05%	0.08%	0.08%	0.07%
8	0.09%	0.12%	0.05%	0.08%	0.09%	0.08%
7	0.1%	0.13%	0.06%	0.09%	0.1%	0.09%
6	0.11%	0.15%	0.07%	0.1%	0.11%	0.1%
5	0.13%	0.17%	0.09%	0.12%	0.13%	0.12%
4	0.15%	0.19%	0.11%	0.16%	0.17%	0.16%
3	0.18%	0.21%	0.14%	0.22%	0.22%	0.22%
2	0.21%	0.23%	0.19%	0.32%	0.32%	0.32%
1	0.26%	0.26%	0.25%	0.5%	0.48%	0.52%
0	3.16%	3.67%	2.63%	3.05%	3.4%	2.7%

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

The annual chance of dying is 3.16% in the birth year in Myanmar and 3.05% in Zimbabwe, 0.22% vs 0.42% at age 30, 1.74% vs 2.37% at 60, and 11% vs 9.89% at 80.

Death rate by age in Myanmar vs Zimbabwe

Chart Table

Myanmar

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Myanmar			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	0	0	0	24.9	0	53
99	48.9	22.8	76.2	105.4	43.2	168.4
98	79.4	38.8	121.9	147.6	63.5	232.4
97	124.6	63.8	188.2	205	92.4	318
96	189.6	101.6	281.7	277.6	131.3	423
95	279.8	156.5	409	366	181.8	548
94	401	233.5	575	469	244.7	687
93	555	336	784	588	322	843
92	743	467	1,030	724	414	1,016
91	957	625	1,303	863	518	1,184
90	1,190	806	1,590	1,040	647	1,401
89	1,431	1,003	1,877	1,196	779	1,570
88	1,674	1,211	2,156	1,372	930	1,762
87	1,916	1,426	2,426	1,540	1,088	1,934
86	2,155	1,643	2,688	1,709	1,253	2,102
85	2,389	1,860	2,938	1,858	1,418	2,232
84	2,610	2,073	3,169	1,999	1,583	2,345
83	2,810	2,274	3,366	2,102	1,730	2,403
82	2,976	2,458	3,514	2,197	1,873	2,450
81	3,100	2,616	3,601	2,235	1,982	2,419
80	3,176	2,744	3,623	2,328	2,113	2,474
79	3,207	2,839	3,589	2,358	2,186	2,465
78	3,198	2,903	3,513	2,416	2,272	2,497
77	3,162	2,938	3,410	2,424	2,321	2,470
76	3,109	2,947	3,290	2,444	2,370	2,468
75	3,037	2,933	3,160	2,448	2,404	2,446
74	2,952	2,898	3,020	2,427	2,414	2,401
73	2,852	2,846	2,870	2,393	2,412	2,346
72	2,740	2,777	2,711	2,356	2,400	2,294
71	2,617	2,695	2,545	2,281	2,352	2,203
70	2,486	2,602	2,374	2,250	2,336	2,164
69	2,353	2,503	2,205	2,166	2,269	2,069
68	2,221	2,401	2,041	2,111	2,224	2,007
67	2,093	2,297	1,887	2,050	2,172	1,938
66	1,971	2,193	1,743	1,993	2,121	1,875
65	1,854	2,090	1,610	1,945	2,075	1,824
64	1,741	1,986	1,486	1,866	2,014	1,726
63	1,632	1,883	1,371	1,790	1,952	1,636
62	1,527	1,780	1,264	1,718	1,890	1,553
61	1,427	1,678	1,164	1,632	1,809	1,463
60	1,331	1,578	1,072	1,571	1,756	1,398
59	1,240	1,480	987	1,481	1,664	1,318
58	1,154	1,386	911	1,411	1,599	1,257
57	1,076	1,297	842	1,341	1,537	1,197
56	1,003	1,214	780	1,284	1,485	1,146
55	936	1,135	724	1,233	1,440	1,097
54	872	1,061	673	1,184	1,389	1,052
53	813	990	625	1,140	1,342	1,009
52	757	924	581	1,100	1,298	971
51	705	861	540	1,050	1,245	925
50	656	802	501	1,018	1,207	892
49	610	747	464	969	1,146	846
48	567	696	430	929	1,096	806
47	528	650	398	888	1,046	766
46	492	608	368	850	1,000	731
45	459	569	342	816	958	702
44	429	533	317	779	911	669
43	401	501	295.4	747	871	642
42	376	470	275.8	717	834	617
41	353	442	258.5	685	795	592
40	332	416	242.9	659	766	571
39	313	393	228.9	627	725	545
38	296.2	371	216.1	599	691	522
37	280.8	352	204.4	568	655	496
36	266.9	336	193.6	539	619	473
35	254.3	321	183.7	512	586	450
34	243	307	174.8	481	550	423
33	232.8	294.9	166.6	453	517	400
32	223.5	283.8	159.3	428	487	379
31	215.2	273.9	152.7	403	458	356
30	207.9	265.5	146.7	385	436	341
29	202.1	259.1	141.4	363	409	323
28	197.6	254.9	136.5	343	387	303
27	194.3	252.8	132	324	365	286.2
26	192	252.4	127.6	304	344	267.1
25	190.4	253.2	123.3	286.4	326	248.2
24	188.8	254	119.3	268.5	307	231.1
23	186.4	253.1	115.3	251.5	289	214.4
22	182.4	249.3	111.1	234.1	270.1	198.3
21	176.1	241.2	106.5	216.1	249.9	182.2
20	166.9	228.5	101.2	200.4	229.9	170.6
19	155.2	211.6	94.9	182.4	209.2	155.3
18	141.5	191.9	87.7	164.9	188.9	140.6
17	126.9	171.1	79.7	143.2	161.3	124.9
16	112.5	151	71.4	122.8	135.4	110
15	99.4	133.1	63.5	106.1	114.9	97.1
14	88.7	118.8	56.6	90.9	97.8	83.9
13	80.8	108.5	51.1	80.4	85.9	74.8
12	75.8	102.5	47.2	73.9	79.4	68.4
11	73.9	100.8	45.1	70.9	76.1	65.5
10	74.7	102.7	44.8	70.4	74.5	66.2
9	78.4	108.2	46.5	72.9	76.9	68.8
8	84.8	116.9	50.5	78.6	83.3	73.8
7	94.1	128.4	57.4	87.5	92.4	82.5
6	106.6	142.5	68.2	98.5	103	94
5	122.9	158.9	84.2	116.6	119.9	113.1
4	143.8	177.8	107.5	153.9	157.9	149.8
3	170.7	199.2	140.2	211.7	213.4	209.9
2	205.2	223.4	185.7	308	305	311
1	249.9	251.4	248.2	484	463	505
0	3,164	3,669	2,626	3,053	3,402	2,699

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 0 in Zimbabwe. The median age of death is 73.1 in Myanmar and 68.8 in Zimbabwe, 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 Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x