Life Expectancy in Equatorial Guinea vs Myanmar (1950-2026)

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

Myanmar

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			Myanmar
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	101.7	101.6	101.7
99	101	100.9	101	100.7	100.6	100.7
98	100.1	100.1	100.1	99.8	99.7	99.8
97	99.2	99.2	99.2	98.9	98.8	98.9
96	98.3	98.3	98.3	98	97.9	98
95	97.4	97.4	97.4	97.1	97	97.2
94	96.5	96.5	96.5	96.2	96.1	96.3
93	95.7	95.6	95.7	95.4	95.2	95.4
92	94.8	94.8	94.9	94.5	94.3	94.6
91	94	94	94	93.7	93.5	93.8
90	93.2	93.1	93.2	92.9	92.6	93
89	92.4	92.3	92.4	92.1	91.8	92.2
88	91.6	91.5	91.6	91.3	91	91.4
87	90.8	90.7	90.9	90.5	90.3	90.7
86	90	89.9	90.1	89.8	89.5	90
85	89.3	89.2	89.4	89.1	88.8	89.3
84	88.6	88.4	88.7	88.4	88	88.6
83	87.9	87.7	88	87.7	87.3	87.9
82	87.2	87	87.3	87	86.6	87.2
81	86.5	86.3	86.6	86.3	85.9	86.6
80	85.8	85.6	86	85.7	85.3	86
79	85.2	85	85.4	85.1	84.6	85.4
78	84.6	84.4	84.8	84.5	84	84.8
77	84	83.7	84.2	83.9	83.4	84.3
76	83.4	83.1	83.7	83.3	82.8	83.8
75	82.9	82.6	83.1	82.8	82.2	83.3
74	82.3	82	82.6	82.3	81.6	82.8
73	81.8	81.4	82.1	81.8	81.1	82.3
72	81.3	80.9	81.6	81.3	80.5	81.9
71	80.8	80.4	81.2	80.9	80	81.5
70	80.3	79.9	80.7	80.4	79.5	81.1
69	79.9	79.4	80.3	80	79.1	80.7
68	79.5	79	79.9	79.6	78.6	80.4
67	79	78.6	79.5	79.2	78.2	80
66	78.7	78.1	79.2	78.8	77.7	79.7
65	78.3	77.7	78.8	78.5	77.3	79.4
64	77.9	77.3	78.5	78.1	76.9	79.1
63	77.5	76.9	78.1	77.8	76.6	78.9
62	77.2	76.6	77.8	77.5	76.2	78.6
61	76.9	76.2	77.6	77.2	75.8	78.4
60	76.6	75.9	77.3	76.9	75.5	78.1
59	76.3	75.6	77	76.6	75.2	77.9
58	76	75.2	76.8	76.3	74.8	77.7
57	75.7	74.9	76.5	76.1	74.5	77.5
56	75.4	74.7	76.3	75.8	74.3	77.3
55	75.2	74.4	76.1	75.6	74	77.1
54	74.9	74.1	75.9	75.4	73.7	76.9
53	74.7	73.8	75.6	75.2	73.5	76.8
52	74.5	73.6	75.4	75	73.2	76.6
51	74.2	73.3	75.3	74.8	73	76.5
50	74	73.1	75.1	74.6	72.8	76.3
49	73.8	72.9	74.9	74.4	72.6	76.2
48	73.6	72.7	74.7	74.2	72.4	76
47	73.4	72.5	74.6	74.1	72.2	75.9
46	73.2	72.3	74.4	73.9	72	75.8
45	73.1	72.1	74.2	73.8	71.8	75.7
44	72.9	71.9	74.1	73.6	71.6	75.6
43	72.7	71.7	73.9	73.5	71.5	75.5
42	72.5	71.5	73.8	73.4	71.3	75.4
41	72.4	71.4	73.7	73.2	71.2	75.3
40	72.2	71.2	73.5	73.1	71	75.2
39	72.1	71	73.4	73	70.9	75.1
38	72	70.9	73.3	72.9	70.8	75
37	71.8	70.7	73.2	72.8	70.6	74.9
36	71.7	70.6	73	72.7	70.5	74.9
35	71.6	70.4	72.9	72.6	70.4	74.8
34	71.4	70.3	72.8	72.5	70.2	74.7
33	71.3	70.2	72.7	72.4	70.1	74.6
32	71.2	70.1	72.6	72.3	70	74.6
31	71.1	69.9	72.5	72.2	69.9	74.5
30	71	69.8	72.4	72.1	69.8	74.4
29	70.8	69.7	72.3	72	69.7	74.4
28	70.7	69.6	72.2	71.9	69.5	74.3
27	70.6	69.4	72.1	71.8	69.4	74.2
26	70.5	69.3	72	71.7	69.3	74.2
25	70.4	69.2	71.9	71.6	69.2	74.1
24	70.3	69.1	71.8	71.5	69.1	74
23	70.2	68.9	71.8	71.4	68.9	74
22	70.1	68.8	71.7	71.3	68.8	73.9
21	70	68.7	71.6	71.2	68.7	73.9
20	69.9	68.6	71.5	71.2	68.6	73.8
19	69.8	68.5	71.4	71.1	68.5	73.7
18	69.7	68.4	71.4	71	68.4	73.7
17	69.6	68.3	71.3	70.9	68.3	73.6
16	69.6	68.2	71.2	70.9	68.2	73.6
15	69.5	68.2	71.2	70.8	68.1	73.6
14	69.5	68.1	71.1	70.7	68	73.5
13	69.4	68	71.1	70.7	68	73.5
12	69.3	68	71	70.7	67.9	73.5
11	69.3	67.9	71	70.6	67.9	73.4
10	69.2	67.9	70.9	70.6	67.8	73.4
9	69.2	67.8	70.9	70.5	67.7	73.4
8	69.1	67.7	70.8	70.5	67.7	73.3
7	69	67.6	70.7	70.4	67.6	73.3
6	68.9	67.5	70.6	70.3	67.5	73.3
5	68.8	67.4	70.5	70.2	67.4	73.2
4	68.7	67.3	70.4	70.1	67.3	73.1
3	68.5	67	70.2	70	67.1	73
2	68.2	66.7	69.9	69.9	67	72.9
1	67.7	66.2	69.4	69.7	66.8	72.7
0	64.3	62.6	66.3	67.5	64.4	70.8

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 Equatorial Guinea can expect to live to 71 years compared to 72.1 in Myanmar, rising to 78.3 and 78.5 at 65, and to 85.8 and 85.7 at 80 — higher than the 64.3 and 67.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

Myanmar

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			Myanmar
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	0.06%	0.03%	0.1%
99	0.18%	0.14%	0.22%	0.11%	0.05%	0.18%
98	0.28%	0.22%	0.35%	0.19%	0.09%	0.3%
97	0.43%	0.33%	0.54%	0.32%	0.15%	0.49%
96	0.65%	0.5%	0.81%	0.51%	0.25%	0.77%
95	0.95%	0.74%	1.18%	0.79%	0.41%	1.18%
94	1.35%	1.06%	1.67%	1.19%	0.64%	1.76%
93	1.88%	1.48%	2.32%	1.74%	0.98%	2.54%
92	2.56%	2.03%	3.14%	2.49%	1.45%	3.57%
91	3.4%	2.72%	4.15%	3.44%	2.07%	4.87%
90	4.44%	3.58%	5.4%	4.63%	2.88%	6.46%
89	5.68%	4.62%	6.87%	6.06%	3.88%	8.34%
88	7.14%	5.86%	8.58%	7.74%	5.09%	10.5%
87	8.83%	7.31%	10.5%	9.65%	6.52%	12.9%
86	10.7%	8.96%	12.7%	11.8%	8.16%	15.6%
85	12.8%	10.8%	15.2%	14.2%	10%	18.5%
84	15.2%	12.9%	17.8%	16.8%	12.1%	21.7%
83	17.6%	15.1%	20.6%	19.6%	14.4%	25.1%
82	20.2%	17.5%	23.5%	22.6%	16.8%	28.6%
81	22.9%	19.9%	26.4%	25.7%	19.4%	32.2%
80	25.7%	22.6%	29.5%	28.9%	22.2%	35.8%
79	28.6%	25.2%	32.6%	32.1%	25%	39.4%
78	31.5%	28%	35.7%	35.3%	27.9%	42.9%
77	34.4%	30.7%	38.7%	38.4%	30.9%	46.3%
76	37.3%	33.5%	41.8%	41.5%	33.8%	49.6%
75	40.1%	36.3%	44.7%	44.6%	36.7%	52.8%
74	42.9%	39%	47.6%	47.5%	39.6%	55.8%
73	45.6%	41.7%	50.4%	50.4%	42.5%	58.7%
72	48.2%	44.3%	53.1%	53.1%	45.3%	61.4%
71	50.7%	46.8%	55.6%	55.7%	48%	63.9%
70	53.1%	49.3%	58%	58.2%	50.6%	66.3%
69	55.4%	51.6%	60.2%	60.6%	53.1%	68.5%
68	57.6%	53.8%	62.3%	62.8%	55.5%	70.5%
67	59.6%	56%	64.3%	64.9%	57.8%	72.4%
66	61.6%	58%	66.1%	66.9%	60%	74.2%
65	63.4%	60%	67.9%	68.7%	62%	75.8%
64	65.2%	61.8%	69.5%	70.5%	64%	77.3%
63	66.8%	63.6%	71%	72.1%	65.9%	78.6%
62	68.4%	65.2%	72.4%	73.6%	67.7%	79.9%
61	69.8%	66.8%	73.7%	75%	69.4%	81.1%
60	71.2%	68.3%	74.9%	76.4%	71%	82.1%
59	72.5%	69.6%	76.1%	77.6%	72.4%	83.1%
58	73.6%	70.9%	77.1%	78.8%	73.8%	84%
57	74.8%	72.2%	78.1%	79.9%	75.1%	84.9%
56	75.8%	73.3%	79%	80.9%	76.3%	85.7%
55	76.8%	74.4%	79.8%	81.8%	77.5%	86.4%
54	77.7%	75.4%	80.7%	82.7%	78.5%	87.1%
53	78.6%	76.4%	81.4%	83.5%	79.5%	87.7%
52	79.5%	77.3%	82.1%	84.2%	80.4%	88.3%
51	80.3%	78.2%	82.8%	84.9%	81.3%	88.8%
50	81%	79%	83.4%	85.6%	82.1%	89.3%
49	81.7%	79.8%	84%	86.2%	82.9%	89.8%
48	82.3%	80.5%	84.5%	86.8%	83.5%	90.2%
47	82.9%	81.2%	85.1%	87.3%	84.2%	90.6%
46	83.5%	81.8%	85.5%	87.8%	84.8%	91%
45	84.1%	82.4%	86%	88.2%	85.4%	91.3%
44	84.6%	82.9%	86.4%	88.7%	85.9%	91.6%
43	85.1%	83.5%	86.8%	89.1%	86.4%	91.9%
42	85.5%	84%	87.2%	89.5%	86.9%	92.2%
41	85.9%	84.4%	87.6%	89.8%	87.3%	92.5%
40	86.4%	84.9%	88%	90.1%	87.7%	92.7%
39	86.7%	85.3%	88.3%	90.5%	88.1%	92.9%
38	87.1%	85.7%	88.6%	90.7%	88.5%	93.1%
37	87.5%	86.1%	88.9%	91%	88.9%	93.4%
36	87.8%	86.5%	89.2%	91.3%	89.2%	93.5%
35	88.1%	86.8%	89.5%	91.6%	89.5%	93.7%
34	88.4%	87.2%	89.7%	91.8%	89.8%	93.9%
33	88.7%	87.5%	90%	92%	90.1%	94.1%
32	89%	87.8%	90.2%	92.3%	90.4%	94.2%
31	89.2%	88.1%	90.4%	92.5%	90.7%	94.4%
30	89.5%	88.3%	90.7%	92.7%	90.9%	94.5%
29	89.7%	88.6%	90.9%	92.9%	91.2%	94.7%
28	89.9%	88.9%	91.1%	93.1%	91.4%	94.8%
27	90.2%	89.1%	91.3%	93.3%	91.7%	94.9%
26	90.4%	89.4%	91.4%	93.5%	92%	95.1%
25	90.6%	89.6%	91.6%	93.6%	92.2%	95.2%
24	90.8%	89.9%	91.8%	93.8%	92.5%	95.3%
23	91%	90.1%	92%	94%	92.7%	95.4%
22	91.2%	90.3%	92.1%	94.2%	93%	95.5%
21	91.4%	90.6%	92.3%	94.4%	93.2%	95.6%
20	91.6%	90.8%	92.4%	94.6%	93.4%	95.7%
19	91.8%	91%	92.5%	94.7%	93.6%	95.8%
18	91.9%	91.2%	92.7%	94.8%	93.8%	95.9%
17	92%	91.3%	92.8%	95%	94%	96%
16	92.2%	91.5%	92.9%	95.1%	94.2%	96.1%
15	92.3%	91.6%	93%	95.2%	94.3%	96.1%
14	92.4%	91.7%	93.1%	95.3%	94.4%	96.2%
13	92.5%	91.8%	93.2%	95.4%	94.5%	96.2%
12	92.6%	91.9%	93.2%	95.4%	94.6%	96.3%
11	92.6%	92%	93.3%	95.5%	94.7%	96.3%
10	92.7%	92.1%	93.4%	95.6%	94.8%	96.4%
9	92.8%	92.2%	93.5%	95.7%	94.9%	96.4%
8	92.9%	92.3%	93.6%	95.7%	95%	96.5%
7	93%	92.4%	93.7%	95.8%	95.2%	96.5%
6	93.2%	92.6%	93.8%	95.9%	95.3%	96.6%
5	93.4%	92.7%	94%	96.1%	95.5%	96.7%
4	93.6%	93%	94.2%	96.2%	95.7%	96.8%
3	93.9%	93.3%	94.5%	96.4%	95.9%	96.9%
2	94.3%	93.8%	94.9%	96.6%	96.1%	97.1%
1	95%	94.5%	95.5%	96.8%	96.3%	97.4%

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 76.4% in Myanmar are expected to live past 60, 53.1% and 58.2% past 70, 25.7% and 28.9% past 80, and only 4.44% and 4.63% past 90.

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

Odds of dying at each age

Chart Table

Equatorial Guinea

Male

Female

Myanmar

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			Myanmar
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	45%	47.5%	44.5%
99	38.5%	38.4%	38.5%	43.2%	45.6%	42.5%
98	36.6%	36.6%	36.6%	41.2%	43.7%	40.5%
97	35%	35.2%	34.9%	39.3%	41.8%	38.5%
96	33.4%	33.6%	33.3%	37.4%	40%	36.5%
95	31.7%	32%	31.5%	35.6%	38.1%	34.7%
94	29.9%	30.3%	29.6%	33.7%	36.3%	32.8%
93	28.2%	28.6%	27.9%	31.9%	34.3%	30.9%
92	26.5%	27.1%	26.2%	29.9%	32.3%	28.9%
91	24.7%	25.3%	24.4%	27.8%	30.2%	26.8%
90	23.5%	24.1%	23.1%	25.7%	28%	24.6%
89	21.8%	22.5%	21.4%	23.6%	25.8%	22.5%
88	20.5%	21.1%	20%	21.6%	23.8%	20.5%
87	19.1%	19.7%	18.6%	19.8%	21.9%	18.8%
86	17.8%	18.5%	17.3%	18.2%	20.1%	17.2%
85	16.4%	17.1%	16%	16.8%	18.6%	15.8%
84	15.2%	16%	14.7%	15.5%	17.1%	14.6%
83	14%	14.7%	13.5%	14.3%	15.8%	13.4%
82	12.9%	13.6%	12.4%	13.2%	14.6%	12.3%
81	11.7%	12.4%	11.2%	12.1%	13.5%	11.2%
80	11%	11.6%	10.4%	11%	12.4%	10.1%
79	9.99%	10.6%	9.46%	10%	11.3%	9.11%
78	9.23%	9.82%	8.71%	9.07%	10.4%	8.19%
77	8.41%	8.99%	7.9%	8.23%	9.52%	7.36%
76	7.74%	8.3%	7.26%	7.48%	8.72%	6.63%
75	7.11%	7.64%	6.65%	6.81%	7.98%	5.99%
74	6.49%	7.01%	6.04%	6.21%	7.31%	5.41%
73	5.93%	6.43%	5.49%	5.66%	6.7%	4.89%
72	5.43%	5.91%	5.02%	5.16%	6.13%	4.42%
71	4.89%	5.34%	4.49%	4.69%	5.62%	3.98%
70	4.55%	4.97%	4.16%	4.27%	5.15%	3.58%
69	4.1%	4.51%	3.7%	3.88%	4.72%	3.22%
68	3.77%	4.15%	3.38%	3.54%	4.33%	2.89%
67	3.44%	3.81%	3.06%	3.23%	3.98%	2.6%
66	3.15%	3.51%	2.79%	2.95%	3.66%	2.35%
65	2.93%	3.26%	2.57%	2.7%	3.37%	2.12%
64	2.68%	3%	2.34%	2.47%	3.1%	1.92%
63	2.46%	2.77%	2.13%	2.26%	2.86%	1.74%
62	2.27%	2.55%	1.95%	2.07%	2.63%	1.58%
61	2.06%	2.32%	1.76%	1.9%	2.42%	1.44%
60	1.92%	2.17%	1.64%	1.74%	2.22%	1.31%
59	1.74%	1.97%	1.47%	1.6%	2.04%	1.19%
58	1.62%	1.83%	1.36%	1.47%	1.88%	1.08%
57	1.49%	1.69%	1.24%	1.35%	1.73%	0.99%
56	1.39%	1.57%	1.16%	1.24%	1.59%	0.91%
55	1.3%	1.47%	1.07%	1.14%	1.47%	0.84%
54	1.21%	1.37%	1%	1.06%	1.35%	0.77%
53	1.13%	1.28%	0.93%	0.97%	1.25%	0.71%
52	1.06%	1.2%	0.87%	0.9%	1.15%	0.66%
51	0.97%	1.1%	0.8%	0.83%	1.06%	0.61%
50	0.92%	1.04%	0.75%	0.77%	0.98%	0.56%
49	0.84%	0.95%	0.69%	0.71%	0.9%	0.52%
48	0.79%	0.89%	0.65%	0.65%	0.83%	0.48%
47	0.73%	0.82%	0.6%	0.6%	0.77%	0.44%
46	0.68%	0.77%	0.56%	0.56%	0.72%	0.41%
45	0.64%	0.72%	0.53%	0.52%	0.67%	0.37%
44	0.6%	0.67%	0.5%	0.48%	0.62%	0.35%
43	0.57%	0.63%	0.48%	0.45%	0.58%	0.32%
42	0.54%	0.6%	0.45%	0.42%	0.54%	0.3%
41	0.5%	0.56%	0.42%	0.39%	0.51%	0.28%
40	0.48%	0.53%	0.41%	0.37%	0.47%	0.26%
39	0.45%	0.5%	0.38%	0.35%	0.45%	0.25%
38	0.42%	0.47%	0.36%	0.33%	0.42%	0.23%
37	0.4%	0.44%	0.34%	0.31%	0.4%	0.22%
36	0.38%	0.42%	0.32%	0.29%	0.38%	0.21%
35	0.36%	0.4%	0.31%	0.28%	0.36%	0.2%
34	0.34%	0.38%	0.29%	0.26%	0.34%	0.19%
33	0.32%	0.36%	0.27%	0.25%	0.33%	0.18%
32	0.31%	0.35%	0.26%	0.24%	0.31%	0.17%
31	0.29%	0.33%	0.25%	0.23%	0.3%	0.16%
30	0.28%	0.32%	0.24%	0.22%	0.29%	0.16%
29	0.27%	0.31%	0.23%	0.22%	0.28%	0.15%
28	0.26%	0.3%	0.22%	0.21%	0.28%	0.14%
27	0.25%	0.29%	0.21%	0.21%	0.28%	0.14%
26	0.24%	0.28%	0.2%	0.21%	0.27%	0.13%
25	0.24%	0.28%	0.19%	0.2%	0.27%	0.13%
24	0.23%	0.27%	0.18%	0.2%	0.27%	0.13%
23	0.22%	0.27%	0.18%	0.2%	0.27%	0.12%
22	0.22%	0.26%	0.17%	0.19%	0.27%	0.12%
21	0.21%	0.25%	0.16%	0.19%	0.26%	0.11%
20	0.19%	0.23%	0.15%	0.18%	0.24%	0.11%
19	0.18%	0.22%	0.15%	0.16%	0.23%	0.1%
18	0.17%	0.2%	0.14%	0.15%	0.2%	0.09%
17	0.15%	0.18%	0.13%	0.13%	0.18%	0.08%
16	0.14%	0.15%	0.12%	0.12%	0.16%	0.07%
15	0.12%	0.13%	0.11%	0.1%	0.14%	0.07%
14	0.11%	0.12%	0.1%	0.09%	0.13%	0.06%
13	0.1%	0.11%	0.09%	0.08%	0.11%	0.05%
12	0.09%	0.1%	0.09%	0.08%	0.11%	0.05%
11	0.09%	0.1%	0.08%	0.08%	0.11%	0.05%
10	0.1%	0.1%	0.09%	0.08%	0.11%	0.05%
9	0.1%	0.11%	0.09%	0.08%	0.11%	0.05%
8	0.11%	0.12%	0.1%	0.09%	0.12%	0.05%
7	0.13%	0.14%	0.11%	0.1%	0.13%	0.06%
6	0.15%	0.16%	0.13%	0.11%	0.15%	0.07%
5	0.18%	0.19%	0.16%	0.13%	0.17%	0.09%
4	0.23%	0.25%	0.22%	0.15%	0.19%	0.11%
3	0.32%	0.34%	0.3%	0.18%	0.21%	0.14%
2	0.46%	0.49%	0.44%	0.21%	0.23%	0.19%
1	0.76%	0.8%	0.72%	0.26%	0.26%	0.25%
0	4.97%	5.49%	4.45%	3.16%	3.67%	2.63%

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

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 3.16% in Myanmar, 0.28% vs 0.22% at age 30, 1.92% vs 1.74% at 60, and 11% vs 11% at 80.

Death rate by age in Equatorial Guinea vs Myanmar

Chart Table

Equatorial Guinea

Male

Female

Myanmar

Male

Female

1x

Age	Death rate
	Equatorial Guinea			Myanmar
	Total	Male	Female	Total	Male	Female
100	0	0	0	0	0	0
99	68.2	52.5	85.6	48.9	22.8	76.2
98	102.3	78.9	128	79.4	38.8	121.9
97	150.8	116.9	188	124.6	63.8	188.2
96	216	168.5	268.1	189.6	101.6	281.7
95	300	236.2	371	279.8	156.5	409
94	404	320	496	401	233.5	575
93	529	425	646	555	336	784
92	678	550	822	743	467	1,030
91	841	690	1,012	957	625	1,303
90	1,044	863	1,249	1,190	806	1,590
89	1,240	1,040	1,468	1,431	1,003	1,877
88	1,461	1,239	1,716	1,674	1,211	2,156
87	1,682	1,443	1,958	1,916	1,426	2,426
86	1,906	1,654	2,202	2,155	1,643	2,688
85	2,111	1,853	2,419	2,389	1,860	2,938
84	2,311	2,057	2,621	2,610	2,073	3,169
83	2,466	2,220	2,772	2,810	2,274	3,366
82	2,609	2,375	2,904	2,976	2,458	3,514
81	2,685	2,471	2,956	3,100	2,616	3,601
80	2,820	2,614	3,078	3,176	2,744	3,623
79	2,857	2,677	3,081	3,207	2,839	3,589
78	2,908	2,748	3,108	3,198	2,903	3,513
77	2,893	2,762	3,062	3,162	2,938	3,410
76	2,887	2,781	3,032	3,109	2,947	3,290
75	2,854	2,773	2,974	3,037	2,933	3,160
74	2,787	2,735	2,879	2,952	2,898	3,020
73	2,705	2,680	2,769	2,852	2,846	2,870
72	2,622	2,618	2,661	2,740	2,777	2,711
71	2,482	2,500	2,494	2,617	2,695	2,545
70	2,420	2,451	2,412	2,486	2,602	2,374
69	2,271	2,326	2,229	2,353	2,503	2,205
68	2,168	2,237	2,107	2,221	2,401	2,041
67	2,052	2,134	1,968	2,093	2,297	1,887
66	1,942	2,034	1,844	1,971	2,193	1,743
65	1,856	1,957	1,743	1,854	2,090	1,610
64	1,748	1,855	1,624	1,741	1,986	1,486
63	1,647	1,758	1,515	1,632	1,883	1,371
62	1,551	1,664	1,415	1,527	1,780	1,264
61	1,435	1,549	1,296	1,427	1,678	1,164
60	1,370	1,481	1,230	1,331	1,578	1,072
59	1,264	1,375	1,120	1,240	1,480	987
58	1,189	1,297	1,047	1,154	1,386	911
57	1,112	1,216	971	1,076	1,297	842
56	1,054	1,154	915	1,003	1,214	780
55	995	1,091	858	936	1,135	724
54	944	1,036	809	872	1,061	673
53	890	978	758	813	990	625
52	843	926	717	757	924	581
51	782	861	660	705	861	540
50	745	821	629	656	802	501
49	690	761	580	610	747	464
48	648	714	546	567	696	430
47	605	667	510	528	650	398
46	570	627	482	492	608	368
45	542	595	460	459	569	342
44	509	558	434	429	533	317
43	482	527	413	401	501	295.4
42	461	503	397	376	470	275.8
41	430	470	371	353	442	258.5
40	414	452	358	332	416	242.9
39	388	424	336	313	393	228.9
38	369	404	320	296.2	371	216.1
37	348	382	301	280.8	352	204.4
36	331	364	287.2	266.9	336	193.6
35	315	347	273	254.3	321	183.7
34	298.6	330	259	243	307	174.8
33	284.9	316	246.7	232.8	294.9	166.6
32	272.6	303	235.5	223.5	283.8	159.3
31	258.6	288.5	222.6	215.2	273.9	152.7
30	251.6	281.1	216.4	207.9	265.5	146.7
29	241	270.6	205.9	202.1	259.1	141.4
28	233.5	263.4	198.5	197.6	254.9	136.5
27	226.2	257	190.2	194.3	252.8	132
26	220.1	252.2	182.9	192	252.4	127.6
25	214.4	248.1	175.8	190.4	253.2	123.3
24	209.3	244.6	169.2	188.8	254	119.3
23	203.3	239.9	162.3	186.4	253.1	115.3
22	196.5	233.5	155.8	182.4	249.3	111.1
21	187.9	224.3	149	176.1	241.2	106.5
20	178.3	212.5	142.7	166.9	228.5	101.2
19	167.2	197.9	135.3	155.2	211.6	94.9
18	154.8	181.3	127.5	141.5	191.9	87.7
17	139.7	160.6	118.1	126.9	171.1	79.7
16	125.5	141.2	109.3	112.5	151	71.4
15	111	122.7	99	99.4	133.1	63.5
14	100.1	109.7	90.2	88.7	118.8	56.6
13	92	100.1	83.7	80.8	108.5	51.1
12	87.4	94.8	79.8	75.8	102.5	47.2
11	86	93.2	78.5	73.9	100.8	45.1
10	88.2	95.9	80.2	74.7	102.7	44.8
9	93.4	101.8	84.8	78.4	108.2	46.5
8	102.6	111.3	93.6	84.8	116.9	50.5
7	116.8	126.1	107.2	94.1	128.4	57.4
6	136.7	146.4	126.6	106.6	142.5	68.2
5	165.2	175.6	154.5	122.9	158.9	84.2
4	216.1	228.6	203.1	143.8	177.8	107.5
3	302	320	283.2	170.7	199.2	140.2
2	438	462	414	205.2	223.4	185.7
1	721	757	684	249.9	251.4	248.2
0	4,972	5,488	4,450	3,164	3,669	2,626

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 Equatorial Guinea, the most common age of death is 0, compared to 79 in Myanmar. The median age of death is 71.3 in Equatorial Guinea and 73.1 in Myanmar, 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 Equatorial Guinea and Myanmar more than their death rates.

Life expectancy in other countries

+ -

1x