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

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

Switzerland

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			Switzerland
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102	101.9	102
99	101	100.9	101	101.1	101	101.2
98	100.1	100.1	100.1	100.3	100.2	100.3
97	99.2	99.2	99.2	99.5	99.3	99.5
96	98.3	98.3	98.3	98.7	98.5	98.8
95	97.4	97.4	97.4	97.9	97.7	98
94	96.5	96.5	96.5	97.2	97	97.3
93	95.7	95.6	95.7	96.5	96.2	96.6
92	94.8	94.8	94.9	95.8	95.5	96
91	94	94	94	95.2	94.8	95.4
90	93.2	93.1	93.2	94.5	94.1	94.8
89	92.4	92.3	92.4	94	93.5	94.2
88	91.6	91.5	91.6	93.4	92.9	93.7
87	90.8	90.7	90.9	92.9	92.3	93.2
86	90	89.9	90.1	92.4	91.8	92.8
85	89.3	89.2	89.4	91.9	91.3	92.4
84	88.6	88.4	88.7	91.5	90.8	92
83	87.9	87.7	88	91.1	90.4	91.6
82	87.2	87	87.3	90.7	90	91.3
81	86.5	86.3	86.6	90.4	89.6	91
80	85.8	85.6	86	90.1	89.2	90.7
79	85.2	85	85.4	89.8	88.9	90.5
78	84.6	84.4	84.8	89.5	88.5	90.2
77	84	83.7	84.2	89.2	88.2	90
76	83.4	83.1	83.7	89	87.9	89.8
75	82.9	82.6	83.1	88.7	87.7	89.6
74	82.3	82	82.6	88.5	87.4	89.4
73	81.8	81.4	82.1	88.3	87.1	89.3
72	81.3	80.9	81.6	88.1	86.9	89.1
71	80.8	80.4	81.2	87.9	86.6	88.9
70	80.3	79.9	80.7	87.7	86.4	88.8
69	79.9	79.4	80.3	87.5	86.2	88.7
68	79.5	79	79.9	87.3	86	88.5
67	79	78.6	79.5	87.2	85.8	88.4
66	78.7	78.1	79.2	87	85.6	88.3
65	78.3	77.7	78.8	86.9	85.4	88.1
64	77.9	77.3	78.5	86.7	85.3	88
63	77.5	76.9	78.1	86.6	85.1	87.9
62	77.2	76.6	77.8	86.5	85	87.8
61	76.9	76.2	77.6	86.3	84.8	87.8
60	76.6	75.9	77.3	86.2	84.7	87.7
59	76.3	75.6	77	86.1	84.6	87.6
58	76	75.2	76.8	86	84.5	87.5
57	75.7	74.9	76.5	85.9	84.4	87.4
56	75.4	74.7	76.3	85.9	84.3	87.4
55	75.2	74.4	76.1	85.8	84.2	87.3
54	74.9	74.1	75.9	85.7	84.1	87.3
53	74.7	73.8	75.6	85.6	84	87.2
52	74.5	73.6	75.4	85.6	83.9	87.2
51	74.2	73.3	75.3	85.5	83.8	87.1
50	74	73.1	75.1	85.5	83.8	87.1
49	73.8	72.9	74.9	85.4	83.7	87
48	73.6	72.7	74.7	85.4	83.7	87
47	73.4	72.5	74.6	85.3	83.6	87
46	73.2	72.3	74.4	85.3	83.6	86.9
45	73.1	72.1	74.2	85.2	83.5	86.9
44	72.9	71.9	74.1	85.2	83.5	86.9
43	72.7	71.7	73.9	85.2	83.5	86.8
42	72.5	71.5	73.8	85.2	83.4	86.8
41	72.4	71.4	73.7	85.1	83.4	86.8
40	72.2	71.2	73.5	85.1	83.4	86.8
39	72.1	71	73.4	85.1	83.3	86.8
38	72	70.9	73.3	85.1	83.3	86.7
37	71.8	70.7	73.2	85	83.3	86.7
36	71.7	70.6	73	85	83.3	86.7
35	71.6	70.4	72.9	85	83.2	86.7
34	71.4	70.3	72.8	85	83.2	86.7
33	71.3	70.2	72.7	85	83.2	86.7
32	71.2	70.1	72.6	84.9	83.2	86.7
31	71.1	69.9	72.5	84.9	83.1	86.7
30	71	69.8	72.4	84.9	83.1	86.6
29	70.8	69.7	72.3	84.9	83.1	86.6
28	70.7	69.6	72.2	84.9	83.1	86.6
27	70.6	69.4	72.1	84.9	83.1	86.6
26	70.5	69.3	72	84.9	83	86.6
25	70.4	69.2	71.9	84.8	83	86.6
24	70.3	69.1	71.8	84.8	83	86.6
23	70.2	68.9	71.8	84.8	83	86.6
22	70.1	68.8	71.7	84.8	83	86.6
21	70	68.7	71.6	84.8	82.9	86.6
20	69.9	68.6	71.5	84.8	82.9	86.6
19	69.8	68.5	71.4	84.7	82.9	86.5
18	69.7	68.4	71.4	84.7	82.9	86.5
17	69.6	68.3	71.3	84.7	82.8	86.5
16	69.6	68.2	71.2	84.7	82.8	86.5
15	69.5	68.2	71.2	84.7	82.8	86.5
14	69.5	68.1	71.1	84.7	82.8	86.5
13	69.4	68	71.1	84.7	82.8	86.5
12	69.3	68	71	84.7	82.8	86.5
11	69.3	67.9	71	84.7	82.8	86.5
10	69.2	67.9	70.9	84.7	82.8	86.5
9	69.2	67.8	70.9	84.7	82.8	86.5
8	69.1	67.7	70.8	84.7	82.8	86.5
7	69	67.6	70.7	84.7	82.8	86.5
6	68.9	67.5	70.6	84.7	82.8	86.5
5	68.8	67.4	70.5	84.7	82.8	86.5
4	68.7	67.3	70.4	84.7	82.8	86.5
3	68.5	67	70.2	84.6	82.8	86.5
2	68.2	66.7	69.9	84.6	82.8	86.5
1	67.7	66.2	69.4	84.6	82.7	86.4
0	64.3	62.6	66.3	84.4	82.5	86.2

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 84.9 in Switzerland, rising to 78.3 and 86.9 at 65, and to 85.8 and 90.1 at 80 — higher than the 64.3 and 84.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

Switzerland

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			Switzerland
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	2.59%	1.52%	3.5%
99	0.18%	0.14%	0.22%	3.94%	2.39%	5.27%
98	0.28%	0.22%	0.35%	5.76%	3.62%	7.62%
97	0.43%	0.33%	0.54%	8.1%	5.27%	10.6%
96	0.65%	0.5%	0.81%	11%	7.39%	14.2%
95	0.95%	0.74%	1.18%	14.4%	9.99%	18.3%
94	1.35%	1.06%	1.67%	18.3%	13.1%	23%
93	1.88%	1.48%	2.32%	22.6%	16.6%	28.1%
92	2.56%	2.03%	3.14%	27.2%	20.7%	33.3%
91	3.4%	2.72%	4.15%	32.1%	25%	38.6%
90	4.44%	3.58%	5.4%	37%	29.6%	43.9%
89	5.68%	4.62%	6.87%	41.8%	34.3%	49%
88	7.14%	5.86%	8.58%	46.6%	38.9%	53.9%
87	8.83%	7.31%	10.5%	51.1%	43.5%	58.5%
86	10.7%	8.96%	12.7%	55.4%	47.9%	62.6%
85	12.8%	10.8%	15.2%	59.3%	52.1%	66.4%
84	15.2%	12.9%	17.8%	63%	56%	69.8%
83	17.6%	15.1%	20.6%	66.3%	59.6%	72.8%
82	20.2%	17.5%	23.5%	69.3%	62.9%	75.5%
81	22.9%	19.9%	26.4%	72%	66%	77.9%
80	25.7%	22.6%	29.5%	74.4%	68.8%	79.9%
79	28.6%	25.2%	32.6%	76.6%	71.3%	81.8%
78	31.5%	28%	35.7%	78.5%	73.6%	83.4%
77	34.4%	30.7%	38.7%	80.3%	75.7%	84.9%
76	37.3%	33.5%	41.8%	81.9%	77.6%	86.2%
75	40.1%	36.3%	44.7%	83.4%	79.4%	87.4%
74	42.9%	39%	47.6%	84.7%	81.1%	88.5%
73	45.6%	41.7%	50.4%	86%	82.6%	89.5%
72	48.2%	44.3%	53.1%	87.2%	84%	90.4%
71	50.7%	46.8%	55.6%	88.2%	85.3%	91.2%
70	53.1%	49.3%	58%	89.2%	86.5%	91.9%
69	55.4%	51.6%	60.2%	90.1%	87.6%	92.6%
68	57.6%	53.8%	62.3%	90.9%	88.6%	93.2%
67	59.6%	56%	64.3%	91.7%	89.6%	93.8%
66	61.6%	58%	66.1%	92.4%	90.5%	94.3%
65	63.4%	60%	67.9%	93%	91.3%	94.8%
64	65.2%	61.8%	69.5%	93.6%	92.1%	95.2%
63	66.8%	63.6%	71%	94.2%	92.7%	95.6%
62	68.4%	65.2%	72.4%	94.7%	93.4%	96%
61	69.8%	66.8%	73.7%	95.1%	93.9%	96.3%
60	71.2%	68.3%	74.9%	95.5%	94.4%	96.6%
59	72.5%	69.6%	76.1%	95.9%	94.9%	96.9%
58	73.6%	70.9%	77.1%	96.2%	95.3%	97.1%
57	74.8%	72.2%	78.1%	96.5%	95.7%	97.4%
56	75.8%	73.3%	79%	96.8%	96%	97.6%
55	76.8%	74.4%	79.8%	97%	96.3%	97.8%
54	77.7%	75.4%	80.7%	97.3%	96.6%	97.9%
53	78.6%	76.4%	81.4%	97.5%	96.9%	98.1%
52	79.5%	77.3%	82.1%	97.7%	97.1%	98.2%
51	80.3%	78.2%	82.8%	97.8%	97.3%	98.4%
50	81%	79%	83.4%	98%	97.5%	98.5%
49	81.7%	79.8%	84%	98.1%	97.7%	98.6%
48	82.3%	80.5%	84.5%	98.2%	97.8%	98.7%
47	82.9%	81.2%	85.1%	98.3%	97.9%	98.8%
46	83.5%	81.8%	85.5%	98.4%	98.1%	98.8%
45	84.1%	82.4%	86%	98.5%	98.2%	98.9%
44	84.6%	82.9%	86.4%	98.6%	98.3%	99%
43	85.1%	83.5%	86.8%	98.7%	98.4%	99%
42	85.5%	84%	87.2%	98.8%	98.5%	99.1%
41	85.9%	84.4%	87.6%	98.8%	98.5%	99.1%
40	86.4%	84.9%	88%	98.9%	98.6%	99.2%
39	86.7%	85.3%	88.3%	98.9%	98.7%	99.2%
38	87.1%	85.7%	88.6%	99%	98.7%	99.2%
37	87.5%	86.1%	88.9%	99%	98.8%	99.3%
36	87.8%	86.5%	89.2%	99.1%	98.8%	99.3%
35	88.1%	86.8%	89.5%	99.1%	98.9%	99.3%
34	88.4%	87.2%	89.7%	99.1%	98.9%	99.3%
33	88.7%	87.5%	90%	99.2%	99%	99.4%
32	89%	87.8%	90.2%	99.2%	99%	99.4%
31	89.2%	88.1%	90.4%	99.2%	99%	99.4%
30	89.5%	88.3%	90.7%	99.3%	99.1%	99.4%
29	89.7%	88.6%	90.9%	99.3%	99.1%	99.5%
28	89.9%	88.9%	91.1%	99.3%	99.2%	99.5%
27	90.2%	89.1%	91.3%	99.3%	99.2%	99.5%
26	90.4%	89.4%	91.4%	99.4%	99.2%	99.5%
25	90.6%	89.6%	91.6%	99.4%	99.3%	99.5%
24	90.8%	89.9%	91.8%	99.4%	99.3%	99.5%
23	91%	90.1%	92%	99.4%	99.3%	99.5%
22	91.2%	90.3%	92.1%	99.5%	99.4%	99.6%
21	91.4%	90.6%	92.3%	99.5%	99.4%	99.6%
20	91.6%	90.8%	92.4%	99.5%	99.5%	99.6%
19	91.8%	91%	92.5%	99.5%	99.5%	99.6%
18	91.9%	91.2%	92.7%	99.6%	99.5%	99.6%
17	92%	91.3%	92.8%	99.6%	99.5%	99.6%
16	92.2%	91.5%	92.9%	99.6%	99.6%	99.6%
15	92.3%	91.6%	93%	99.6%	99.6%	99.6%
14	92.4%	91.7%	93.1%	99.6%	99.6%	99.6%
13	92.5%	91.8%	93.2%	99.6%	99.6%	99.6%
12	92.6%	91.9%	93.2%	99.6%	99.6%	99.6%
11	92.6%	92%	93.3%	99.6%	99.6%	99.6%
10	92.7%	92.1%	93.4%	99.6%	99.6%	99.7%
9	92.8%	92.2%	93.5%	99.6%	99.6%	99.7%
8	92.9%	92.3%	93.6%	99.6%	99.6%	99.7%
7	93%	92.4%	93.7%	99.6%	99.6%	99.7%
6	93.2%	92.6%	93.8%	99.6%	99.6%	99.7%
5	93.4%	92.7%	94%	99.7%	99.6%	99.7%
4	93.6%	93%	94.2%	99.7%	99.6%	99.7%
3	93.9%	93.3%	94.5%	99.7%	99.6%	99.7%
2	94.3%	93.8%	94.9%	99.7%	99.7%	99.7%
1	95%	94.5%	95.5%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 95.5% in Switzerland are expected to live past 60, 53.1% and 89.2% past 70, 25.7% and 74.4% past 80, and only 4.44% and 37% 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

Switzerland

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			Switzerland
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	37%	39.1%	36.3%
99	38.5%	38.4%	38.5%	34.3%	36.4%	33.7%
98	36.6%	36.6%	36.6%	31.6%	33.9%	30.8%
97	35%	35.2%	34.9%	28.9%	31.4%	28%
96	33.4%	33.6%	33.3%	26.2%	28.7%	25.3%
95	31.7%	32%	31.5%	23.7%	26%	22.7%
94	29.9%	30.3%	29.6%	21.3%	23.6%	20.3%
93	28.2%	28.6%	27.9%	19.1%	21.4%	18%
92	26.5%	27.1%	26.2%	17%	19.5%	15.8%
91	24.7%	25.3%	24.4%	15.1%	17.5%	13.8%
90	23.5%	24.1%	23.1%	13.3%	15.5%	12%
89	21.8%	22.5%	21.4%	11.6%	13.6%	10.5%
88	20.5%	21.1%	20%	10.2%	11.9%	9.08%
87	19.1%	19.7%	18.6%	8.86%	10.5%	7.78%
86	17.8%	18.5%	17.3%	7.67%	9.2%	6.62%
85	16.4%	17.1%	16%	6.66%	8.02%	5.68%
84	15.2%	16%	14.7%	5.78%	6.96%	4.88%
83	14%	14.7%	13.5%	5%	6.05%	4.18%
82	12.9%	13.6%	12.4%	4.31%	5.27%	3.56%
81	11.7%	12.4%	11.2%	3.75%	4.64%	3.02%
80	11%	11.6%	10.4%	3.26%	4.07%	2.58%
79	9.99%	10.6%	9.46%	2.84%	3.56%	2.24%
78	9.23%	9.82%	8.71%	2.49%	3.12%	1.96%
77	8.41%	8.99%	7.9%	2.2%	2.76%	1.73%
76	7.74%	8.3%	7.26%	1.97%	2.47%	1.53%
75	7.11%	7.64%	6.65%	1.78%	2.24%	1.37%
74	6.49%	7.01%	6.04%	1.61%	2.05%	1.22%
73	5.93%	6.43%	5.49%	1.46%	1.87%	1.1%
72	5.43%	5.91%	5.02%	1.33%	1.7%	1%
71	4.89%	5.34%	4.49%	1.2%	1.53%	0.9%
70	4.55%	4.97%	4.16%	1.08%	1.37%	0.8%
69	4.1%	4.51%	3.7%	0.97%	1.24%	0.72%
68	3.77%	4.15%	3.38%	0.9%	1.16%	0.65%
67	3.44%	3.81%	3.06%	0.84%	1.08%	0.61%
66	3.15%	3.51%	2.79%	0.77%	0.98%	0.57%
65	2.93%	3.26%	2.57%	0.71%	0.89%	0.53%
64	2.68%	3%	2.34%	0.64%	0.82%	0.46%
63	2.46%	2.77%	2.13%	0.57%	0.74%	0.41%
62	2.27%	2.55%	1.95%	0.52%	0.66%	0.37%
61	2.06%	2.32%	1.76%	0.47%	0.6%	0.34%
60	1.92%	2.17%	1.64%	0.43%	0.54%	0.31%
59	1.74%	1.97%	1.47%	0.38%	0.47%	0.29%
58	1.62%	1.83%	1.36%	0.34%	0.42%	0.26%
57	1.49%	1.69%	1.24%	0.31%	0.39%	0.23%
56	1.39%	1.57%	1.16%	0.29%	0.36%	0.21%
55	1.3%	1.47%	1.07%	0.26%	0.33%	0.2%
54	1.21%	1.37%	1%	0.24%	0.29%	0.18%
53	1.13%	1.28%	0.93%	0.21%	0.26%	0.16%
52	1.06%	1.2%	0.87%	0.19%	0.23%	0.14%
51	0.97%	1.1%	0.8%	0.17%	0.21%	0.13%
50	0.92%	1.04%	0.75%	0.16%	0.19%	0.12%
49	0.84%	0.95%	0.69%	0.14%	0.17%	0.11%
48	0.79%	0.89%	0.65%	0.12%	0.15%	0.1%
47	0.73%	0.82%	0.6%	0.11%	0.14%	0.08%
46	0.68%	0.77%	0.56%	0.1%	0.13%	0.08%
45	0.64%	0.72%	0.53%	0.09%	0.12%	0.07%
44	0.6%	0.67%	0.5%	0.08%	0.1%	0.07%
43	0.57%	0.63%	0.48%	0.08%	0.09%	0.06%
42	0.54%	0.6%	0.45%	0.07%	0.09%	0.05%
41	0.5%	0.56%	0.42%	0.06%	0.08%	0.04%
40	0.48%	0.53%	0.41%	0.05%	0.07%	0.04%
39	0.45%	0.5%	0.38%	0.05%	0.07%	0.03%
38	0.42%	0.47%	0.36%	0.05%	0.06%	0.03%
37	0.4%	0.44%	0.34%	0.04%	0.06%	0.03%
36	0.38%	0.42%	0.32%	0.04%	0.05%	0.03%
35	0.36%	0.4%	0.31%	0.04%	0.05%	0.03%
34	0.34%	0.38%	0.29%	0.03%	0.05%	0.02%
33	0.32%	0.36%	0.27%	0.03%	0.04%	0.02%
32	0.31%	0.35%	0.26%	0.03%	0.04%	0.02%
31	0.29%	0.33%	0.25%	0.03%	0.04%	0.02%
30	0.28%	0.32%	0.24%	0.03%	0.04%	0.02%
29	0.27%	0.31%	0.23%	0.03%	0.04%	0.02%
28	0.26%	0.3%	0.22%	0.03%	0.04%	0.02%
27	0.25%	0.29%	0.21%	0.03%	0.04%	0.01%
26	0.24%	0.28%	0.2%	0.03%	0.04%	0.01%
25	0.24%	0.28%	0.19%	0.03%	0.04%	0.01%
24	0.23%	0.27%	0.18%	0.03%	0.04%	0.02%
23	0.22%	0.27%	0.18%	0.03%	0.04%	0.02%
22	0.22%	0.26%	0.17%	0.03%	0.04%	0.01%
21	0.21%	0.25%	0.16%	0.02%	0.04%	0.008%
20	0.19%	0.23%	0.15%	0.02%	0.04%	0.009%
19	0.18%	0.22%	0.15%	0.02%	0.03%	0.01%
18	0.17%	0.2%	0.14%	0.02%	0.03%	0.01%
17	0.15%	0.18%	0.13%	0.02%	0.02%	0.01%
16	0.14%	0.15%	0.12%	0.01%	0.02%	0.008%
15	0.12%	0.13%	0.11%	0.01%	0.01%	0.007%
14	0.11%	0.12%	0.1%	0.009%	0.01%	0.007%
13	0.1%	0.11%	0.09%	0.007%	0.008%	0.007%
12	0.09%	0.1%	0.09%	0.006%	0.006%	0.006%
11	0.09%	0.1%	0.08%	0.005%	0.005%	0.006%
10	0.1%	0.1%	0.09%	0.005%	0.004%	0.005%
9	0.1%	0.11%	0.09%	0.005%	0.005%	0.004%
8	0.11%	0.12%	0.1%	0.005%	0.005%	0.005%
7	0.13%	0.14%	0.11%	0.005%	0.005%	0.005%
6	0.15%	0.16%	0.13%	0.005%	0.005%	0.005%
5	0.18%	0.19%	0.16%	0.005%	0.006%	0.004%
4	0.23%	0.25%	0.22%	0.006%	0.007%	0.004%
3	0.32%	0.34%	0.3%	0.007%	0.008%	0.005%
2	0.46%	0.49%	0.44%	0.008%	0.008%	0.007%
1	0.76%	0.8%	0.72%	0.02%	0.02%	0.02%
0	4.97%	5.49%	4.45%	0.3%	0.32%	0.28%

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

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 0.3% in Switzerland, 0.28% vs 0.03% at age 30, 1.92% vs 0.43% at 60, and 11% vs 3.26% at 80.

Death rate by age in Equatorial Guinea vs Switzerland

Chart Table

Equatorial Guinea

Male

Female

Switzerland

Male

Female

1x

Age	Death rate
	Equatorial Guinea			Switzerland
	Total	Male	Female	Total	Male	Female
100	0	0	0	811	392	1,166
99	68.2	52.5	85.6	1,351	871	1,775
98	102.3	78.9	128	1,820	1,226	2,350
97	150.8	116.9	188	2,344	1,656	2,970
96	216	168.5	268.1	2,881	2,120	3,585
95	300	236.2	371	3,402	2,594	4,160
94	404	320	496	3,893	3,081	4,667
93	529	425	646	4,317	3,568	5,050
92	678	550	822	4,634	4,025	5,255
91	841	690	1,012	4,836	4,388	5,312
90	1,044	863	1,249	4,910	4,590	5,271
89	1,240	1,040	1,468	4,875	4,659	5,136
88	1,461	1,239	1,716	4,748	4,648	4,894
87	1,682	1,443	1,958	4,529	4,563	4,549
86	1,906	1,654	2,202	4,245	4,408	4,146
85	2,111	1,853	2,419	3,949	4,181	3,771
84	2,311	2,057	2,621	3,638	3,899	3,407
83	2,466	2,220	2,772	3,312	3,604	3,047
82	2,609	2,375	2,904	2,988	3,315	2,686
81	2,685	2,471	2,956	2,697	3,059	2,351
80	2,820	2,614	3,078	2,424	2,802	2,060
79	2,857	2,677	3,081	2,175	2,539	1,829
78	2,908	2,748	3,108	1,958	2,296	1,639
77	2,893	2,762	3,062	1,770	2,088	1,469
76	2,887	2,781	3,032	1,613	1,919	1,321
75	2,854	2,773	2,974	1,482	1,780	1,195
74	2,787	2,735	2,879	1,364	1,658	1,083
73	2,705	2,680	2,769	1,260	1,546	986
72	2,622	2,618	2,661	1,160	1,430	899
71	2,482	2,500	2,494	1,061	1,310	818
70	2,420	2,451	2,412	962	1,187	736
69	2,271	2,326	2,229	877	1,088	663
68	2,168	2,237	2,107	819	1,026	607
67	2,052	2,134	1,968	770	968	568
66	1,942	2,034	1,844	715	888	539
65	1,856	1,957	1,743	657	812	500
64	1,748	1,855	1,624	598	752	439
63	1,647	1,758	1,515	540	684	391
62	1,551	1,664	1,415	490	619	356
61	1,435	1,549	1,296	449	566	326
60	1,370	1,481	1,230	409	512	301
59	1,264	1,375	1,120	366	450	278.7
58	1,189	1,297	1,047	328	400	254.4
57	1,112	1,216	971	299.8	371	227
56	1,054	1,154	915	277.6	348	205.6
55	995	1,091	858	257.1	318	194.8
54	944	1,036	809	233.1	284.3	180.9
53	890	978	758	205.5	252.9	157.2
52	843	926	717	182.7	227.9	136.6
51	782	861	660	166.4	207.7	124.2
50	745	821	629	153.6	188.4	118.4
49	690	761	580	139.6	168.2	110.6
48	648	714	546	122.7	148.4	96.4
47	605	667	510	107.9	132.7	82.6
46	570	627	482	99.2	123.3	74.6
45	542	595	460	92.2	114.1	69.7
44	509	558	434	83.3	101.5	64.7
43	482	527	413	74.9	91.8	57.5
42	461	503	397	67.9	86.6	48.7
41	430	470	371	59.7	75.9	43.1
40	414	452	358	53.2	67.1	39
39	388	424	336	49.9	65.1	34.3
38	369	404	320	47.4	62.9	31.4
37	348	382	301	43.3	54.8	31.6
36	331	364	287.2	39.3	47.2	31.1
35	315	347	273	36.1	44.5	27.4
34	298.6	330	259	34.4	44.5	23.9
33	284.9	316	246.7	33.9	44.3	23.1
32	272.6	303	235.5	32.3	41.8	22.5
31	258.6	288.5	222.6	29.2	37.4	20.6
30	251.6	281.1	216.4	28.2	35.8	20.2
29	241	270.6	205.9	27.8	36.1	19.1
28	233.5	263.4	198.5	26.1	36.1	15.4
27	226.2	257	190.2	25	36.6	12.6
26	220.1	252.2	182.9	26	38.4	12.5
25	214.4	248.1	175.8	27.5	39.6	14.5
24	209.3	244.6	169.2	28	38.3	17
23	203.3	239.9	162.3	27.1	37.2	16.4
22	196.5	233.5	155.8	25.4	38.5	11.5
21	187.9	224.3	149	24.5	39.8	8.4
20	178.3	212.5	142.7	24	38.2	8.96
19	167.2	197.9	135.3	23.5	34.5	11.8
18	154.8	181.3	127.5	21.7	29.1	13.8
17	139.7	160.6	118.1	17	22.5	11.2
16	125.5	141.2	109.3	12.5	16.6	8.23
15	111	122.7	99	10.1	12.7	7.44
14	100.1	109.7	90.2	8.64	9.9	7.31
13	92	100.1	83.7	7.36	7.93	6.76
12	87.4	94.8	79.8	6.05	6.11	5.98
11	86	93.2	78.5	5.04	4.6	5.51
10	88.2	95.9	80.2	4.54	4.09	5.02
9	93.4	101.8	84.8	4.56	4.64	4.48
8	102.6	111.3	93.6	4.69	4.68	4.71
7	116.8	126.1	107.2	4.74	4.51	4.98
6	136.7	146.4	126.6	4.82	5.05	4.58
5	165.2	175.6	154.5	5.21	6.16	4.2
4	216.1	228.6	203.1	5.93	7.31	4.48
3	302	320	283.2	6.53	7.74	5.26
2	438	462	414	7.66	8.22	7.07
1	721	757	684	22.5	22.6	22.4
0	4,972	5,488	4,450	303	322	283.2

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 90 in Switzerland. The median age of death is 71.3 in Equatorial Guinea and 87.2 in Switzerland, 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 Switzerland more than their death rates.

Life expectancy in other countries

+ -

1x