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

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

Thailand

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			Thailand
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.9	102.7	103.1
99	101	100.9	101	102.1	101.8	102.2
98	100.1	100.1	100.1	101.2	101	101.4
97	99.2	99.2	99.2	100.4	100.2	100.5
96	98.3	98.3	98.3	99.7	99.5	99.8
95	97.4	97.4	97.4	98.9	98.7	99
94	96.5	96.5	96.5	98.2	97.9	98.3
93	95.7	95.6	95.7	97.4	97.2	97.6
92	94.8	94.8	94.9	96.7	96.5	96.9
91	94	94	94	96.1	95.7	96.2
90	93.2	93.1	93.2	95.4	95	95.6
89	92.4	92.3	92.4	94.7	94.3	95
88	91.6	91.5	91.6	94.1	93.7	94.3
87	90.8	90.7	90.9	93.5	93	93.8
86	90	89.9	90.1	92.9	92.4	93.2
85	89.3	89.2	89.4	92.3	91.8	92.7
84	88.6	88.4	88.7	91.8	91.1	92.2
83	87.9	87.7	88	91.2	90.6	91.7
82	87.2	87	87.3	90.7	90	91.2
81	86.5	86.3	86.6	90.2	89.4	90.8
80	85.8	85.6	86	89.8	88.9	90.4
79	85.2	85	85.4	89.3	88.4	90
78	84.6	84.4	84.8	88.9	87.9	89.6
77	84	83.7	84.2	88.5	87.4	89.3
76	83.4	83.1	83.7	88.1	86.9	89
75	82.9	82.6	83.1	87.7	86.5	88.7
74	82.3	82	82.6	87.4	86.1	88.4
73	81.8	81.4	82.1	87	85.7	88.1
72	81.3	80.9	81.6	86.7	85.3	87.9
71	80.8	80.4	81.2	86.4	84.9	87.6
70	80.3	79.9	80.7	86.1	84.5	87.4
69	79.9	79.4	80.3	85.8	84.1	87.2
68	79.5	79	79.9	85.5	83.8	87
67	79	78.6	79.5	85.2	83.4	86.8
66	78.7	78.1	79.2	85	83.1	86.6
65	78.3	77.7	78.8	84.8	82.8	86.5
64	77.9	77.3	78.5	84.5	82.5	86.3
63	77.5	76.9	78.1	84.3	82.2	86.1
62	77.2	76.6	77.8	84.1	82	86
61	76.9	76.2	77.6	83.8	81.7	85.8
60	76.6	75.9	77.3	83.6	81.4	85.7
59	76.3	75.6	77	83.4	81.1	85.5
58	76	75.2	76.8	83.2	80.9	85.4
57	75.7	74.9	76.5	83	80.6	85.2
56	75.4	74.7	76.3	82.8	80.3	85.1
55	75.2	74.4	76.1	82.6	80.1	85
54	74.9	74.1	75.9	82.4	79.9	84.8
53	74.7	73.8	75.6	82.2	79.6	84.7
52	74.5	73.6	75.4	82	79.4	84.6
51	74.2	73.3	75.3	81.9	79.1	84.4
50	74	73.1	75.1	81.7	78.9	84.3
49	73.8	72.9	74.9	81.5	78.7	84.2
48	73.6	72.7	74.7	81.3	78.5	84.1
47	73.4	72.5	74.6	81.2	78.2	84
46	73.2	72.3	74.4	81	78	83.9
45	73.1	72.1	74.2	80.8	77.8	83.8
44	72.9	71.9	74.1	80.7	77.6	83.7
43	72.7	71.7	73.9	80.5	77.4	83.6
42	72.5	71.5	73.8	80.4	77.2	83.5
41	72.4	71.4	73.7	80.2	77	83.5
40	72.2	71.2	73.5	80.1	76.8	83.4
39	72.1	71	73.4	80	76.6	83.3
38	72	70.9	73.3	79.8	76.4	83.2
37	71.8	70.7	73.2	79.7	76.3	83.2
36	71.7	70.6	73	79.6	76.1	83.1
35	71.6	70.4	72.9	79.5	76	83.1
34	71.4	70.3	72.8	79.4	75.9	83
33	71.3	70.2	72.7	79.3	75.8	82.9
32	71.2	70.1	72.6	79.3	75.6	82.9
31	71.1	69.9	72.5	79.2	75.5	82.9
30	71	69.8	72.4	79.1	75.4	82.8
29	70.8	69.7	72.3	79	75.3	82.8
28	70.7	69.6	72.2	79	75.2	82.7
27	70.6	69.4	72.1	78.9	75.1	82.7
26	70.5	69.3	72	78.8	75	82.7
25	70.4	69.2	71.9	78.7	74.9	82.6
24	70.3	69.1	71.8	78.7	74.8	82.6
23	70.2	68.9	71.8	78.6	74.7	82.6
22	70.1	68.8	71.7	78.5	74.7	82.5
21	70	68.7	71.6	78.5	74.6	82.5
20	69.9	68.6	71.5	78.4	74.5	82.5
19	69.8	68.5	71.4	78.3	74.3	82.4
18	69.7	68.4	71.4	78.3	74.2	82.4
17	69.6	68.3	71.3	78.2	74.1	82.3
16	69.6	68.2	71.2	78.1	74.1	82.3
15	69.5	68.2	71.2	78.1	74	82.3
14	69.5	68.1	71.1	78	73.9	82.3
13	69.4	68	71.1	78	73.9	82.2
12	69.3	68	71	78	73.9	82.2
11	69.3	67.9	71	77.9	73.8	82.2
10	69.2	67.9	70.9	77.9	73.8	82.2
9	69.2	67.8	70.9	77.9	73.8	82.1
8	69.1	67.7	70.8	77.9	73.8	82.1
7	69	67.6	70.7	77.9	73.7	82.1
6	68.9	67.5	70.6	77.8	73.7	82.1
5	68.8	67.4	70.5	77.8	73.7	82.1
4	68.7	67.3	70.4	77.8	73.7	82
3	68.5	67	70.2	77.7	73.6	82
2	68.2	66.7	69.9	77.7	73.6	82
1	67.7	66.2	69.4	77.7	73.5	81.9
0	64.3	62.6	66.3	77.1	72.9	81.4

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 79.1 in Thailand, rising to 78.3 and 84.8 at 65, and to 85.8 and 89.8 at 80 — higher than the 64.3 and 77.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

Thailand

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			Thailand
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	3.38%	2.05%	4.79%
99	0.18%	0.14%	0.22%	4.53%	2.77%	6.38%
98	0.28%	0.22%	0.35%	5.9%	3.65%	8.27%
97	0.43%	0.33%	0.54%	7.52%	4.71%	10.5%
96	0.65%	0.5%	0.81%	9.37%	5.96%	13%
95	0.95%	0.74%	1.18%	11.5%	7.39%	15.7%
94	1.35%	1.06%	1.67%	13.8%	9.02%	18.7%
93	1.88%	1.48%	2.32%	16.3%	10.8%	21.9%
92	2.56%	2.03%	3.14%	19%	12.8%	25.4%
91	3.4%	2.72%	4.15%	21.8%	15%	29%
90	4.44%	3.58%	5.4%	24.8%	17.4%	32.7%
89	5.68%	4.62%	6.87%	28%	19.9%	36.4%
88	7.14%	5.86%	8.58%	31.1%	22.4%	40.2%
87	8.83%	7.31%	10.5%	34.3%	25.1%	43.9%
86	10.7%	8.96%	12.7%	37.5%	27.8%	47.6%
85	12.8%	10.8%	15.2%	40.6%	30.6%	51.1%
84	15.2%	12.9%	17.8%	43.7%	33.4%	54.5%
83	17.6%	15.1%	20.6%	46.7%	36.2%	57.6%
82	20.2%	17.5%	23.5%	49.6%	38.9%	60.7%
81	22.9%	19.9%	26.4%	52.4%	41.6%	63.5%
80	25.7%	22.6%	29.5%	55%	44.3%	66.1%
79	28.6%	25.2%	32.6%	57.5%	46.9%	68.6%
78	31.5%	28%	35.7%	59.9%	49.4%	70.8%
77	34.4%	30.7%	38.7%	62.2%	51.8%	72.9%
76	37.3%	33.5%	41.8%	64.3%	54.1%	74.8%
75	40.1%	36.3%	44.7%	66.2%	56.3%	76.5%
74	42.9%	39%	47.6%	68%	58.3%	78%
73	45.6%	41.7%	50.4%	69.7%	60.3%	79.4%
72	48.2%	44.3%	53.1%	71.3%	62.2%	80.7%
71	50.7%	46.8%	55.6%	72.9%	64%	81.9%
70	53.1%	49.3%	58%	74.3%	65.8%	83.1%
69	55.4%	51.6%	60.2%	75.6%	67.4%	84.1%
68	57.6%	53.8%	62.3%	76.9%	69%	85%
67	59.6%	56%	64.3%	78%	70.4%	85.8%
66	61.6%	58%	66.1%	79%	71.7%	86.6%
65	63.4%	60%	67.9%	80%	72.9%	87.3%
64	65.2%	61.8%	69.5%	81%	74.1%	87.9%
63	66.8%	63.6%	71%	81.9%	75.3%	88.6%
62	68.4%	65.2%	72.4%	82.7%	76.4%	89.1%
61	69.8%	66.8%	73.7%	83.5%	77.5%	89.7%
60	71.2%	68.3%	74.9%	84.3%	78.5%	90.3%
59	72.5%	69.6%	76.1%	85.1%	79.5%	90.8%
58	73.6%	70.9%	77.1%	85.8%	80.4%	91.3%
57	74.8%	72.2%	78.1%	86.5%	81.3%	91.7%
56	75.8%	73.3%	79%	87.1%	82.2%	92.2%
55	76.8%	74.4%	79.8%	87.7%	83%	92.6%
54	77.7%	75.4%	80.7%	88.3%	83.8%	93%
53	78.6%	76.4%	81.4%	88.9%	84.6%	93.4%
52	79.5%	77.3%	82.1%	89.5%	85.3%	93.8%
51	80.3%	78.2%	82.8%	90%	86.1%	94.1%
50	81%	79%	83.4%	90.5%	86.8%	94.4%
49	81.7%	79.8%	84%	91%	87.4%	94.7%
48	82.3%	80.5%	84.5%	91.5%	88.1%	95%
47	82.9%	81.2%	85.1%	91.9%	88.7%	95.3%
46	83.5%	81.8%	85.5%	92.4%	89.4%	95.6%
45	84.1%	82.4%	86%	92.8%	90%	95.8%
44	84.6%	82.9%	86.4%	93.2%	90.5%	96%
43	85.1%	83.5%	86.8%	93.6%	91.1%	96.2%
42	85.5%	84%	87.2%	94%	91.6%	96.4%
41	85.9%	84.4%	87.6%	94.3%	92.1%	96.6%
40	86.4%	84.9%	88%	94.7%	92.6%	96.8%
39	86.7%	85.3%	88.3%	95%	93.1%	97%
38	87.1%	85.7%	88.6%	95.2%	93.5%	97.1%
37	87.5%	86.1%	88.9%	95.5%	93.8%	97.2%
36	87.8%	86.5%	89.2%	95.7%	94.2%	97.4%
35	88.1%	86.8%	89.5%	96%	94.5%	97.5%
34	88.4%	87.2%	89.7%	96.2%	94.8%	97.6%
33	88.7%	87.5%	90%	96.3%	95.1%	97.7%
32	89%	87.8%	90.2%	96.5%	95.3%	97.8%
31	89.2%	88.1%	90.4%	96.7%	95.6%	97.9%
30	89.5%	88.3%	90.7%	96.8%	95.8%	97.9%
29	89.7%	88.6%	90.9%	97%	96%	98%
28	89.9%	88.9%	91.1%	97.1%	96.2%	98.1%
27	90.2%	89.1%	91.3%	97.3%	96.4%	98.2%
26	90.4%	89.4%	91.4%	97.4%	96.6%	98.2%
25	90.6%	89.6%	91.6%	97.5%	96.8%	98.3%
24	90.8%	89.9%	91.8%	97.6%	97%	98.3%
23	91%	90.1%	92%	97.7%	97.1%	98.4%
22	91.2%	90.3%	92.1%	97.9%	97.3%	98.5%
21	91.4%	90.6%	92.3%	98%	97.5%	98.5%
20	91.6%	90.8%	92.4%	98.1%	97.7%	98.6%
19	91.8%	91%	92.5%	98.2%	97.9%	98.6%
18	91.9%	91.2%	92.7%	98.4%	98.1%	98.7%
17	92%	91.3%	92.8%	98.5%	98.2%	98.7%
16	92.2%	91.5%	92.9%	98.6%	98.4%	98.8%
15	92.3%	91.6%	93%	98.6%	98.5%	98.8%
14	92.4%	91.7%	93.1%	98.7%	98.6%	98.9%
13	92.5%	91.8%	93.2%	98.8%	98.6%	98.9%
12	92.6%	91.9%	93.2%	98.8%	98.7%	98.9%
11	92.6%	92%	93.3%	98.8%	98.7%	99%
10	92.7%	92.1%	93.4%	98.9%	98.8%	99%
9	92.8%	92.2%	93.5%	98.9%	98.8%	99%
8	92.9%	92.3%	93.6%	98.9%	98.8%	99.1%
7	93%	92.4%	93.7%	99%	98.9%	99.1%
6	93.2%	92.6%	93.8%	99%	98.9%	99.1%
5	93.4%	92.7%	94%	99%	98.9%	99.1%
4	93.6%	93%	94.2%	99.1%	99%	99.2%
3	93.9%	93.3%	94.5%	99.1%	99%	99.2%
2	94.3%	93.8%	94.9%	99.2%	99.1%	99.3%
1	95%	94.5%	95.5%	99.2%	99.2%	99.3%

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 84.3% in Thailand are expected to live past 60, 53.1% and 74.3% past 70, 25.7% and 55% past 80, and only 4.44% and 24.8% 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

Thailand

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			Thailand
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	26.9%	27.5%	26.6%
99	38.5%	38.4%	38.5%	25.3%	26%	24.9%
98	36.6%	36.6%	36.6%	23.3%	24.2%	22.9%
97	35%	35.2%	34.9%	21.5%	22.5%	21%
96	33.4%	33.6%	33.3%	19.8%	20.9%	19.2%
95	31.7%	32%	31.5%	18.2%	19.4%	17.5%
94	29.9%	30.3%	29.6%	16.7%	18%	16%
93	28.2%	28.6%	27.9%	15.4%	16.8%	14.7%
92	26.5%	27.1%	26.2%	14.3%	15.7%	13.5%
91	24.7%	25.3%	24.4%	13.2%	14.6%	12.4%
90	23.5%	24.1%	23.1%	12.1%	13.5%	11.3%
89	21.8%	22.5%	21.4%	11.1%	12.5%	10.3%
88	20.5%	21.1%	20%	10.2%	11.5%	9.39%
87	19.1%	19.7%	18.6%	9.3%	10.6%	8.49%
86	17.8%	18.5%	17.3%	8.48%	9.79%	7.66%
85	16.4%	17.1%	16%	7.72%	9.03%	6.89%
84	15.2%	16%	14.7%	7.03%	8.32%	6.18%
83	14%	14.7%	13.5%	6.39%	7.67%	5.54%
82	12.9%	13.6%	12.4%	5.83%	7.08%	4.97%
81	11.7%	12.4%	11.2%	5.31%	6.53%	4.46%
80	11%	11.6%	10.4%	4.83%	6.02%	3.99%
79	9.99%	10.6%	9.46%	4.39%	5.53%	3.57%
78	9.23%	9.82%	8.71%	3.99%	5.07%	3.18%
77	8.41%	8.99%	7.9%	3.6%	4.64%	2.83%
76	7.74%	8.3%	7.26%	3.25%	4.23%	2.51%
75	7.11%	7.64%	6.65%	2.94%	3.86%	2.23%
74	6.49%	7.01%	6.04%	2.67%	3.54%	1.98%
73	5.93%	6.43%	5.49%	2.44%	3.27%	1.78%
72	5.43%	5.91%	5.02%	2.25%	3.04%	1.62%
71	4.89%	5.34%	4.49%	2.09%	2.84%	1.47%
70	4.55%	4.97%	4.16%	1.94%	2.66%	1.35%
69	4.1%	4.51%	3.7%	1.79%	2.47%	1.22%
68	3.77%	4.15%	3.38%	1.62%	2.26%	1.09%
67	3.44%	3.81%	3.06%	1.45%	2.03%	0.96%
66	3.15%	3.51%	2.79%	1.29%	1.82%	0.85%
65	2.93%	3.26%	2.57%	1.21%	1.7%	0.79%
64	2.68%	3%	2.34%	1.16%	1.62%	0.75%
63	2.46%	2.77%	2.13%	1.1%	1.54%	0.71%
62	2.27%	2.55%	1.95%	1.03%	1.45%	0.67%
61	2.06%	2.32%	1.76%	0.98%	1.37%	0.63%
60	1.92%	2.17%	1.64%	0.93%	1.3%	0.6%
59	1.74%	1.97%	1.47%	0.88%	1.23%	0.57%
58	1.62%	1.83%	1.36%	0.83%	1.17%	0.54%
57	1.49%	1.69%	1.24%	0.79%	1.11%	0.51%
56	1.39%	1.57%	1.16%	0.75%	1.05%	0.48%
55	1.3%	1.47%	1.07%	0.71%	1%	0.46%
54	1.21%	1.37%	1%	0.68%	0.95%	0.44%
53	1.13%	1.28%	0.93%	0.65%	0.91%	0.41%
52	1.06%	1.2%	0.87%	0.62%	0.88%	0.39%
51	0.97%	1.1%	0.8%	0.6%	0.84%	0.37%
50	0.92%	1.04%	0.75%	0.57%	0.81%	0.35%
49	0.84%	0.95%	0.69%	0.54%	0.78%	0.32%
48	0.79%	0.89%	0.65%	0.52%	0.74%	0.3%
47	0.73%	0.82%	0.6%	0.49%	0.72%	0.28%
46	0.68%	0.77%	0.56%	0.47%	0.69%	0.27%
45	0.64%	0.72%	0.53%	0.45%	0.67%	0.25%
44	0.6%	0.67%	0.5%	0.44%	0.64%	0.23%
43	0.57%	0.63%	0.48%	0.42%	0.62%	0.22%
42	0.54%	0.6%	0.45%	0.39%	0.59%	0.21%
41	0.5%	0.56%	0.42%	0.37%	0.55%	0.19%
40	0.48%	0.53%	0.41%	0.35%	0.52%	0.18%
39	0.45%	0.5%	0.38%	0.32%	0.48%	0.17%
38	0.42%	0.47%	0.36%	0.3%	0.44%	0.16%
37	0.4%	0.44%	0.34%	0.27%	0.4%	0.14%
36	0.38%	0.42%	0.32%	0.25%	0.36%	0.13%
35	0.36%	0.4%	0.31%	0.23%	0.33%	0.12%
34	0.34%	0.38%	0.29%	0.21%	0.3%	0.11%
33	0.32%	0.36%	0.27%	0.19%	0.28%	0.1%
32	0.31%	0.35%	0.26%	0.18%	0.26%	0.09%
31	0.29%	0.33%	0.25%	0.17%	0.25%	0.08%
30	0.28%	0.32%	0.24%	0.16%	0.24%	0.08%
29	0.27%	0.31%	0.23%	0.15%	0.23%	0.08%
28	0.26%	0.3%	0.22%	0.15%	0.22%	0.07%
27	0.25%	0.29%	0.21%	0.14%	0.21%	0.07%
26	0.24%	0.28%	0.2%	0.13%	0.2%	0.07%
25	0.24%	0.28%	0.19%	0.13%	0.19%	0.06%
24	0.23%	0.27%	0.18%	0.12%	0.18%	0.06%
23	0.22%	0.27%	0.18%	0.12%	0.18%	0.06%
22	0.22%	0.26%	0.17%	0.12%	0.18%	0.06%
21	0.21%	0.25%	0.16%	0.12%	0.19%	0.06%
20	0.19%	0.23%	0.15%	0.13%	0.19%	0.06%
19	0.18%	0.22%	0.15%	0.13%	0.2%	0.06%
18	0.17%	0.2%	0.14%	0.12%	0.19%	0.06%
17	0.15%	0.18%	0.13%	0.11%	0.17%	0.05%
16	0.14%	0.15%	0.12%	0.1%	0.14%	0.05%
15	0.12%	0.13%	0.11%	0.08%	0.11%	0.05%
14	0.11%	0.12%	0.1%	0.07%	0.09%	0.04%
13	0.1%	0.11%	0.09%	0.05%	0.07%	0.04%
12	0.09%	0.1%	0.09%	0.04%	0.05%	0.03%
11	0.09%	0.1%	0.08%	0.04%	0.05%	0.03%
10	0.1%	0.1%	0.09%	0.03%	0.04%	0.03%
9	0.1%	0.11%	0.09%	0.03%	0.04%	0.03%
8	0.11%	0.12%	0.1%	0.03%	0.04%	0.02%
7	0.13%	0.14%	0.11%	0.03%	0.04%	0.03%
6	0.15%	0.16%	0.13%	0.03%	0.04%	0.03%
5	0.18%	0.19%	0.16%	0.04%	0.04%	0.03%
4	0.23%	0.25%	0.22%	0.04%	0.04%	0.04%
3	0.32%	0.34%	0.3%	0.05%	0.05%	0.04%
2	0.46%	0.49%	0.44%	0.05%	0.05%	0.05%
1	0.76%	0.8%	0.72%	0.06%	0.06%	0.07%
0	4.97%	5.49%	4.45%	0.76%	0.84%	0.67%

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

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 0.76% in Thailand, 0.28% vs 0.16% at age 30, 1.92% vs 0.93% at 60, and 11% vs 4.83% at 80.

Death rate by age in Equatorial Guinea vs Thailand

Chart Table

Equatorial Guinea

Male

Female

Thailand

Male

Female

1x

Age	Death rate
	Equatorial Guinea			Thailand
	Total	Male	Female	Total	Male	Female
100	0	0	0	906	530	1,303
99	68.2	52.5	85.6	1,143	719	1,589
98	102.3	78.9	128	1,374	882	1,890
97	150.8	116.9	188	1,615	1,060	2,196
96	216	168.5	268.1	1,855	1,247	2,491
95	300	236.2	371	2,082	1,435	2,757
94	404	320	496	2,298	1,626	2,999
93	529	425	646	2,505	1,819	3,222
92	678	550	822	2,704	2,011	3,427
91	841	690	1,012	2,878	2,190	3,596
90	1,044	863	1,249	3,009	2,344	3,702
89	1,240	1,040	1,468	3,107	2,476	3,762
88	1,461	1,239	1,716	3,171	2,586	3,775
87	1,682	1,443	1,958	3,193	2,668	3,731
86	1,906	1,654	2,202	3,180	2,726	3,642
85	2,111	1,853	2,419	3,139	2,763	3,517
84	2,311	2,057	2,621	3,072	2,778	3,364
83	2,466	2,220	2,772	2,986	2,775	3,193
82	2,609	2,375	2,904	2,888	2,755	3,014
81	2,685	2,471	2,956	2,779	2,719	2,829
80	2,820	2,614	3,078	2,658	2,666	2,639
79	2,857	2,677	3,081	2,529	2,595	2,448
78	2,908	2,748	3,108	2,389	2,506	2,253
77	2,893	2,762	3,062	2,240	2,402	2,060
76	2,887	2,781	3,032	2,090	2,289	1,874
75	2,854	2,773	2,974	1,946	2,174	1,701
74	2,787	2,735	2,879	1,815	2,067	1,548
73	2,705	2,680	2,769	1,702	1,973	1,416
72	2,622	2,618	2,661	1,605	1,892	1,304
71	2,482	2,500	2,494	1,520	1,820	1,207
70	2,420	2,451	2,412	1,439	1,748	1,117
69	2,271	2,326	2,229	1,352	1,664	1,027
68	2,168	2,237	2,107	1,249	1,556	929
67	2,052	2,134	1,968	1,133	1,427	826
66	1,942	2,034	1,844	1,023	1,302	734
65	1,856	1,957	1,743	967	1,237	687
64	1,748	1,855	1,624	937	1,204	663
63	1,647	1,758	1,515	897	1,156	630
62	1,551	1,664	1,415	852	1,105	595
61	1,435	1,549	1,296	818	1,065	569
60	1,370	1,481	1,230	782	1,023	541
59	1,264	1,375	1,120	747	979	514
58	1,189	1,297	1,047	716	941	490
57	1,112	1,216	971	686	904	468
56	1,054	1,154	915	656	867	446
55	995	1,091	858	627	829	425
54	944	1,036	809	601	797	405
53	890	978	758	580	773	386
52	843	926	717	559	751	367
51	782	861	660	537	727	347
50	745	821	629	515	702	327
49	690	761	580	494	678	307
48	648	714	546	474	656	288.2
47	605	667	510	455	636	270.1
46	570	627	482	438	617	253.3
45	542	595	460	422	600	238
44	509	558	434	406	582	224
43	482	527	413	389	561	211
42	461	503	397	370	537	198.9
41	430	470	371	350	509	187.4
40	414	452	358	329	477	175.9
39	388	424	336	307	444	164.3
38	369	404	320	283	409	152.4
37	348	382	301	259.7	375	140.2
36	331	364	287.2	237.3	342	128
35	315	347	273	216.6	313	116.5
34	298.6	330	259	198.7	288.3	106
33	284.9	316	246.7	183.9	267.9	96.9
32	272.6	303	235.5	172.3	252	89.3
31	258.6	288.5	222.6	163.2	239.6	83.1
30	251.6	281.1	216.4	155.8	229.6	78
29	241	270.6	205.9	149.3	220.5	73.8
28	233.5	263.4	198.5	142.7	210.9	70.1
27	226.2	257	190.2	136	200.7	66.8
26	220.1	252.2	182.9	129.3	190.3	63.8
25	214.4	248.1	175.8	123.1	181	61.3
24	209.3	244.6	169.2	118.6	174.6	59.2
23	203.3	239.9	162.3	116.8	172.5	57.8
22	196.5	233.5	155.8	117.6	175	57.1
21	187.9	224.3	149	120.7	181.2	57
20	178.3	212.5	142.7	124.3	188	57.1
19	167.2	197.9	135.3	125.9	191.1	56.9
18	154.8	181.3	127.5	122.2	184.7	56
17	139.7	160.6	118.1	112.5	167.5	54.1
16	125.5	141.2	109.3	97.5	141.4	50.9
15	111	122.7	99	80.9	113.1	46.8
14	100.1	109.7	90.2	65.5	87.5	42.1
13	92	100.1	83.7	53.1	67.8	37.5
12	87.4	94.8	79.8	43.9	53.9	33.2
11	86	93.2	78.5	37.4	44.7	29.7
10	88.2	95.9	80.2	33.3	39.2	27.1
9	93.4	101.8	84.8	31	36.2	25.4
8	102.6	111.3	93.6	29.9	34.8	24.6
7	116.8	126.1	107.2	30.1	34.9	25
6	136.7	146.4	126.6	31.6	36.3	26.6
5	165.2	175.6	154.5	34.7	39.1	30
4	216.1	228.6	203.1	39.3	43.1	35.2
3	302	320	283.2	45.5	48.1	42.6
2	438	462	414	53.4	54.3	52.5
1	721	757	684	63.5	61.6	65.5
0	4,972	5,488	4,450	761	845	672

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 87 in Thailand. The median age of death is 71.3 in Equatorial Guinea and 81.8 in Thailand, 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 Thailand more than their death rates.

Life expectancy in other countries

+ -

1x