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

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

Liechtenstein

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.8	102.3	102.9
99	101	100.9	101	102	101.5	102.1
98	100.1	100.1	100.1	101.2	100.6	101.3
97	99.2	99.2	99.2	100.4	99.8	100.5
96	98.3	98.3	98.3	99.6	99	99.8
95	97.4	97.4	97.4	98.8	98.2	99.1
94	96.5	96.5	96.5	98.1	97.5	98.3
93	95.7	95.6	95.7	97.4	96.7	97.7
92	94.8	94.8	94.9	96.7	96	97
91	94	94	94	96	95.3	96.4
90	93.2	93.1	93.2	95.4	94.6	95.8
89	92.4	92.3	92.4	94.8	94	95.2
88	91.6	91.5	91.6	94.2	93.3	94.6
87	90.8	90.7	90.9	93.6	92.7	94.1
86	90	89.9	90.1	93	92.2	93.5
85	89.3	89.2	89.4	92.5	91.6	93
84	88.6	88.4	88.7	92	91.1	92.6
83	87.9	87.7	88	91.5	90.5	92.1
82	87.2	87	87.3	91	90.1	91.7
81	86.5	86.3	86.6	90.6	89.6	91.3
80	85.8	85.6	86	90.2	89.2	90.9
79	85.2	85	85.4	89.8	88.8	90.6
78	84.6	84.4	84.8	89.4	88.4	90.3
77	84	83.7	84.2	89.1	88	90
76	83.4	83.1	83.7	88.8	87.7	89.7
75	82.9	82.6	83.1	88.5	87.3	89.5
74	82.3	82	82.6	88.2	87	89.2
73	81.8	81.4	82.1	88	86.8	89
72	81.3	80.9	81.6	87.7	86.5	88.8
71	80.8	80.4	81.2	87.5	86.2	88.6
70	80.3	79.9	80.7	87.3	86	88.5
69	79.9	79.4	80.3	87.1	85.8	88.3
68	79.5	79	79.9	86.9	85.6	88.2
67	79	78.6	79.5	86.8	85.4	88
66	78.7	78.1	79.2	86.6	85.2	87.9
65	78.3	77.7	78.8	86.5	85	87.8
64	77.9	77.3	78.5	86.4	84.9	87.7
63	77.5	76.9	78.1	86.2	84.7	87.6
62	77.2	76.6	77.8	86.1	84.6	87.6
61	76.9	76.2	77.6	86	84.5	87.5
60	76.6	75.9	77.3	85.9	84.4	87.4
59	76.3	75.6	77	85.9	84.3	87.3
58	76	75.2	76.8	85.8	84.2	87.3
57	75.7	74.9	76.5	85.7	84.1	87.2
56	75.4	74.7	76.3	85.6	84	87.2
55	75.2	74.4	76.1	85.5	83.9	87.1
54	74.9	74.1	75.9	85.5	83.8	87.1
53	74.7	73.8	75.6	85.4	83.8	87
52	74.5	73.6	75.4	85.4	83.7	87
51	74.2	73.3	75.3	85.3	83.7	86.9
50	74	73.1	75.1	85.3	83.6	86.9
49	73.8	72.9	74.9	85.2	83.6	86.8
48	73.6	72.7	74.7	85.2	83.5	86.8
47	73.4	72.5	74.6	85.2	83.5	86.8
46	73.2	72.3	74.4	85.1	83.4	86.7
45	73.1	72.1	74.2	85.1	83.4	86.7
44	72.9	71.9	74.1	85.1	83.4	86.7
43	72.7	71.7	73.9	85.1	83.4	86.7
42	72.5	71.5	73.8	85	83.3	86.6
41	72.4	71.4	73.7	85	83.3	86.6
40	72.2	71.2	73.5	85	83.3	86.6
39	72.1	71	73.4	85	83.3	86.6
38	72	70.9	73.3	85	83.3	86.6
37	71.8	70.7	73.2	84.9	83.2	86.5
36	71.7	70.6	73	84.9	83.2	86.5
35	71.6	70.4	72.9	84.9	83.2	86.5
34	71.4	70.3	72.8	84.9	83.2	86.5
33	71.3	70.2	72.7	84.9	83.2	86.5
32	71.2	70.1	72.6	84.9	83.2	86.5
31	71.1	69.9	72.5	84.8	83.2	86.4
30	71	69.8	72.4	84.8	83.1	86.4
29	70.8	69.7	72.3	84.8	83.1	86.4
28	70.7	69.6	72.2	84.8	83.1	86.4
27	70.6	69.4	72.1	84.8	83.1	86.4
26	70.5	69.3	72	84.8	83.1	86.4
25	70.4	69.2	71.9	84.8	83.1	86.4
24	70.3	69.1	71.8	84.8	83.1	86.4
23	70.2	68.9	71.8	84.7	83.1	86.3
22	70.1	68.8	71.7	84.7	83	86.3
21	70	68.7	71.6	84.7	83	86.3
20	69.9	68.6	71.5	84.7	83	86.3
19	69.8	68.5	71.4	84.7	83	86.3
18	69.7	68.4	71.4	84.7	83	86.3
17	69.6	68.3	71.3	84.7	83	86.3
16	69.6	68.2	71.2	84.7	83	86.3
15	69.5	68.2	71.2	84.6	83	86.3
14	69.5	68.1	71.1	84.6	82.9	86.3
13	69.4	68	71.1	84.6	82.9	86.2
12	69.3	68	71	84.6	82.9	86.2
11	69.3	67.9	71	84.6	82.9	86.2
10	69.2	67.9	70.9	84.6	82.9	86.2
9	69.2	67.8	70.9	84.6	82.9	86.2
8	69.1	67.7	70.8	84.6	82.9	86.2
7	69	67.6	70.7	84.6	82.9	86.2
6	68.9	67.5	70.6	84.6	82.9	86.2
5	68.8	67.4	70.5	84.6	82.9	86.2
4	68.7	67.3	70.4	84.6	82.9	86.2
3	68.5	67	70.2	84.6	82.9	86.2
2	68.2	66.7	69.9	84.5	82.8	86.1
1	67.7	66.2	69.4	84.5	82.8	86.1
0	64.3	62.6	66.3	84.1	82.4	85.6

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 84.8 in Liechtenstein, rising to 78.3 and 86.5 at 65, and to 85.8 and 90.2 at 80 — higher than the 64.3 and 84.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

Liechtenstein

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	4.72%	2.39%	6.58%
99	0.18%	0.14%	0.22%	6.27%	3.42%	8.63%
98	0.28%	0.22%	0.35%	8.18%	4.75%	11.1%
97	0.43%	0.33%	0.54%	10.4%	6.43%	13.9%
96	0.65%	0.5%	0.81%	13.1%	8.47%	17%
95	0.95%	0.74%	1.18%	16%	10.9%	20.5%
94	1.35%	1.06%	1.67%	19.3%	13.7%	24.2%
93	1.88%	1.48%	2.32%	22.9%	16.9%	28.2%
92	2.56%	2.03%	3.14%	26.6%	20.3%	32.4%
91	3.4%	2.72%	4.15%	30.5%	24.1%	36.6%
90	4.44%	3.58%	5.4%	34.6%	28%	40.9%
89	5.68%	4.62%	6.87%	38.7%	32.1%	45.1%
88	7.14%	5.86%	8.58%	42.9%	36.3%	49.3%
87	8.83%	7.31%	10.5%	47%	40.5%	53.4%
86	10.7%	8.96%	12.7%	51%	44.7%	57.3%
85	12.8%	10.8%	15.2%	55%	48.8%	61.1%
84	15.2%	12.9%	17.8%	58.7%	52.8%	64.8%
83	17.6%	15.1%	20.6%	62.4%	56.7%	68.2%
82	20.2%	17.5%	23.5%	65.8%	60.3%	71.3%
81	22.9%	19.9%	26.4%	68.9%	63.7%	74.2%
80	25.7%	22.6%	29.5%	71.8%	66.9%	76.8%
79	28.6%	25.2%	32.6%	74.5%	69.8%	79.2%
78	31.5%	28%	35.7%	76.9%	72.5%	81.3%
77	34.4%	30.7%	38.7%	79.1%	75%	83.2%
76	37.3%	33.5%	41.8%	81.1%	77.3%	84.9%
75	40.1%	36.3%	44.7%	83%	79.4%	86.4%
74	42.9%	39%	47.6%	84.6%	81.4%	87.7%
73	45.6%	41.7%	50.4%	86.1%	83.2%	88.9%
72	48.2%	44.3%	53.1%	87.4%	84.8%	90%
71	50.7%	46.8%	55.6%	88.6%	86.2%	91%
70	53.1%	49.3%	58%	89.7%	87.6%	91.8%
69	55.4%	51.6%	60.2%	90.7%	88.8%	92.6%
68	57.6%	53.8%	62.3%	91.6%	89.9%	93.2%
67	59.6%	56%	64.3%	92.3%	90.8%	93.8%
66	61.6%	58%	66.1%	93%	91.7%	94.3%
65	63.4%	60%	67.9%	93.6%	92.4%	94.8%
64	65.2%	61.8%	69.5%	94.2%	93.1%	95.2%
63	66.8%	63.6%	71%	94.6%	93.7%	95.5%
62	68.4%	65.2%	72.4%	95.1%	94.3%	95.8%
61	69.8%	66.8%	73.7%	95.4%	94.8%	96.1%
60	71.2%	68.3%	74.9%	95.8%	95.2%	96.4%
59	72.5%	69.6%	76.1%	96.1%	95.7%	96.6%
58	73.6%	70.9%	77.1%	96.4%	96%	96.8%
57	74.8%	72.2%	78.1%	96.7%	96.4%	97%
56	75.8%	73.3%	79%	96.9%	96.7%	97.2%
55	76.8%	74.4%	79.8%	97.2%	96.9%	97.4%
54	77.7%	75.4%	80.7%	97.3%	97.2%	97.5%
53	78.6%	76.4%	81.4%	97.5%	97.4%	97.6%
52	79.5%	77.3%	82.1%	97.7%	97.6%	97.8%
51	80.3%	78.2%	82.8%	97.8%	97.7%	97.9%
50	81%	79%	83.4%	97.9%	97.9%	98%
49	81.7%	79.8%	84%	98%	98%	98.1%
48	82.3%	80.5%	84.5%	98.2%	98.1%	98.2%
47	82.9%	81.2%	85.1%	98.2%	98.2%	98.3%
46	83.5%	81.8%	85.5%	98.3%	98.3%	98.3%
45	84.1%	82.4%	86%	98.4%	98.4%	98.4%
44	84.6%	82.9%	86.4%	98.5%	98.5%	98.5%
43	85.1%	83.5%	86.8%	98.5%	98.5%	98.5%
42	85.5%	84%	87.2%	98.6%	98.6%	98.6%
41	85.9%	84.4%	87.6%	98.6%	98.6%	98.6%
40	86.4%	84.9%	88%	98.7%	98.7%	98.7%
39	86.7%	85.3%	88.3%	98.7%	98.7%	98.7%
38	87.1%	85.7%	88.6%	98.8%	98.8%	98.8%
37	87.5%	86.1%	88.9%	98.8%	98.8%	98.8%
36	87.8%	86.5%	89.2%	98.8%	98.8%	98.8%
35	88.1%	86.8%	89.5%	98.9%	98.9%	98.9%
34	88.4%	87.2%	89.7%	98.9%	98.9%	98.9%
33	88.7%	87.5%	90%	98.9%	98.9%	98.9%
32	89%	87.8%	90.2%	98.9%	98.9%	98.9%
31	89.2%	88.1%	90.4%	99%	99%	99%
30	89.5%	88.3%	90.7%	99%	99%	99%
29	89.7%	88.6%	90.9%	99%	99%	99%
28	89.9%	88.9%	91.1%	99%	99%	99%
27	90.2%	89.1%	91.3%	99.1%	99.1%	99.1%
26	90.4%	89.4%	91.4%	99.1%	99.1%	99.1%
25	90.6%	89.6%	91.6%	99.1%	99.1%	99.1%
24	90.8%	89.9%	91.8%	99.1%	99.1%	99.1%
23	91%	90.1%	92%	99.1%	99.1%	99.1%
22	91.2%	90.3%	92.1%	99.2%	99.2%	99.2%
21	91.4%	90.6%	92.3%	99.2%	99.2%	99.2%
20	91.6%	90.8%	92.4%	99.2%	99.2%	99.2%
19	91.8%	91%	92.5%	99.2%	99.2%	99.2%
18	91.9%	91.2%	92.7%	99.2%	99.3%	99.2%
17	92%	91.3%	92.8%	99.3%	99.3%	99.2%
16	92.2%	91.5%	92.9%	99.3%	99.3%	99.3%
15	92.3%	91.6%	93%	99.3%	99.3%	99.3%
14	92.4%	91.7%	93.1%	99.3%	99.3%	99.3%
13	92.5%	91.8%	93.2%	99.3%	99.3%	99.3%
12	92.6%	91.9%	93.2%	99.3%	99.3%	99.3%
11	92.6%	92%	93.3%	99.3%	99.3%	99.3%
10	92.7%	92.1%	93.4%	99.3%	99.4%	99.3%
9	92.8%	92.2%	93.5%	99.3%	99.4%	99.3%
8	92.9%	92.3%	93.6%	99.3%	99.4%	99.3%
7	93%	92.4%	93.7%	99.4%	99.4%	99.3%
6	93.2%	92.6%	93.8%	99.4%	99.4%	99.3%
5	93.4%	92.7%	94%	99.4%	99.4%	99.4%
4	93.6%	93%	94.2%	99.4%	99.4%	99.4%
3	93.9%	93.3%	94.5%	99.4%	99.4%	99.4%
2	94.3%	93.8%	94.9%	99.4%	99.5%	99.4%
1	95%	94.5%	95.5%	99.5%	99.5%	99.5%

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 95.8% in Liechtenstein are expected to live past 60, 53.1% and 89.7% past 70, 25.7% and 71.8% past 80, and only 4.44% and 34.6% 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

Liechtenstein

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	26.4%	32%	25.3%
99	38.5%	38.4%	38.5%	24.8%	30%	23.7%
98	36.6%	36.6%	36.6%	23.3%	28%	21.9%
97	35%	35.2%	34.9%	21.7%	26.1%	20.2%
96	33.4%	33.6%	33.3%	20%	24.1%	18.6%
95	31.7%	32%	31.5%	18.6%	22.3%	17%
94	29.9%	30.3%	29.6%	17.1%	20.4%	15.5%
93	28.2%	28.6%	27.9%	15.4%	18.7%	14.1%
92	26.5%	27.1%	26.2%	14%	17.1%	12.8%
91	24.7%	25.3%	24.4%	12.9%	15.5%	11.6%
90	23.5%	24.1%	23.1%	11.8%	14.1%	10.4%
89	21.8%	22.5%	21.4%	10.7%	12.8%	9.41%
88	20.5%	21.1%	20%	9.63%	11.5%	8.48%
87	19.1%	19.7%	18.6%	8.72%	10.4%	7.65%
86	17.8%	18.5%	17.3%	7.97%	9.39%	6.9%
85	16.4%	17.1%	16%	7.15%	8.44%	6.22%
84	15.2%	16%	14.7%	6.41%	7.57%	5.58%
83	14%	14.7%	13.5%	5.8%	6.77%	4.99%
82	12.9%	13.6%	12.4%	5.19%	6.04%	4.43%
81	11.7%	12.4%	11.2%	4.58%	5.36%	3.9%
80	11%	11.6%	10.4%	4.06%	4.76%	3.42%
79	9.99%	10.6%	9.46%	3.57%	4.22%	2.98%
78	9.23%	9.82%	8.71%	3.14%	3.74%	2.6%
77	8.41%	8.99%	7.9%	2.79%	3.33%	2.26%
76	7.74%	8.3%	7.26%	2.48%	2.97%	1.98%
75	7.11%	7.64%	6.65%	2.2%	2.65%	1.74%
74	6.49%	7.01%	6.04%	1.93%	2.38%	1.53%
73	5.93%	6.43%	5.49%	1.71%	2.13%	1.35%
72	5.43%	5.91%	5.02%	1.54%	1.91%	1.19%
71	4.89%	5.34%	4.49%	1.37%	1.71%	1.05%
70	4.55%	4.97%	4.16%	1.22%	1.52%	0.93%
69	4.1%	4.51%	3.7%	1.08%	1.35%	0.82%
68	3.77%	4.15%	3.38%	0.95%	1.2%	0.71%
67	3.44%	3.81%	3.06%	0.83%	1.06%	0.62%
66	3.15%	3.51%	2.79%	0.73%	0.93%	0.54%
65	2.93%	3.26%	2.57%	0.64%	0.82%	0.47%
64	2.68%	3%	2.34%	0.57%	0.73%	0.41%
63	2.46%	2.77%	2.13%	0.51%	0.65%	0.36%
62	2.27%	2.55%	1.95%	0.45%	0.59%	0.32%
61	2.06%	2.32%	1.76%	0.41%	0.53%	0.29%
60	1.92%	2.17%	1.64%	0.37%	0.48%	0.27%
59	1.74%	1.97%	1.47%	0.34%	0.44%	0.24%
58	1.62%	1.83%	1.36%	0.3%	0.39%	0.22%
57	1.49%	1.69%	1.24%	0.28%	0.35%	0.2%
56	1.39%	1.57%	1.16%	0.25%	0.31%	0.19%
55	1.3%	1.47%	1.07%	0.22%	0.27%	0.17%
54	1.21%	1.37%	1%	0.2%	0.24%	0.16%
53	1.13%	1.28%	0.93%	0.17%	0.21%	0.14%
52	1.06%	1.2%	0.87%	0.16%	0.19%	0.13%
51	0.97%	1.1%	0.8%	0.14%	0.17%	0.12%
50	0.92%	1.04%	0.75%	0.13%	0.15%	0.11%
49	0.84%	0.95%	0.69%	0.12%	0.13%	0.1%
48	0.79%	0.89%	0.65%	0.11%	0.12%	0.09%
47	0.73%	0.82%	0.6%	0.1%	0.11%	0.09%
46	0.68%	0.77%	0.56%	0.09%	0.09%	0.08%
45	0.64%	0.72%	0.53%	0.08%	0.08%	0.07%
44	0.6%	0.67%	0.5%	0.07%	0.07%	0.06%
43	0.57%	0.63%	0.48%	0.06%	0.06%	0.06%
42	0.54%	0.6%	0.45%	0.05%	0.06%	0.05%
41	0.5%	0.56%	0.42%	0.05%	0.05%	0.05%
40	0.48%	0.53%	0.41%	0.05%	0.05%	0.05%
39	0.45%	0.5%	0.38%	0.04%	0.04%	0.04%
38	0.42%	0.47%	0.36%	0.04%	0.04%	0.04%
37	0.4%	0.44%	0.34%	0.04%	0.03%	0.04%
36	0.38%	0.42%	0.32%	0.03%	0.03%	0.03%
35	0.36%	0.4%	0.31%	0.03%	0.03%	0.03%
34	0.34%	0.38%	0.29%	0.03%	0.03%	0.03%
33	0.32%	0.36%	0.27%	0.03%	0.03%	0.03%
32	0.31%	0.35%	0.26%	0.03%	0.03%	0.03%
31	0.29%	0.33%	0.25%	0.03%	0.02%	0.03%
30	0.28%	0.32%	0.24%	0.02%	0.02%	0.03%
29	0.27%	0.31%	0.23%	0.02%	0.02%	0.02%
28	0.26%	0.3%	0.22%	0.02%	0.02%	0.02%
27	0.25%	0.29%	0.21%	0.02%	0.02%	0.02%
26	0.24%	0.28%	0.2%	0.02%	0.02%	0.02%
25	0.24%	0.28%	0.19%	0.02%	0.02%	0.02%
24	0.23%	0.27%	0.18%	0.02%	0.02%	0.02%
23	0.22%	0.27%	0.18%	0.02%	0.02%	0.02%
22	0.22%	0.26%	0.17%	0.02%	0.03%	0.02%
21	0.21%	0.25%	0.16%	0.02%	0.02%	0.02%
20	0.19%	0.23%	0.15%	0.02%	0.02%	0.02%
19	0.18%	0.22%	0.15%	0.02%	0.02%	0.02%
18	0.17%	0.2%	0.14%	0.02%	0.02%	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%	0.01%
15	0.12%	0.13%	0.11%	0.01%	0.01%	0.01%
14	0.11%	0.12%	0.1%	0.01%	0.01%	0.009%
13	0.1%	0.11%	0.09%	0.009%	0.009%	0.008%
12	0.09%	0.1%	0.09%	0.008%	0.008%	0.008%
11	0.09%	0.1%	0.08%	0.008%	0.008%	0.007%
10	0.1%	0.1%	0.09%	0.008%	0.008%	0.007%
9	0.1%	0.11%	0.09%	0.008%	0.008%	0.008%
8	0.11%	0.12%	0.1%	0.009%	0.009%	0.008%
7	0.13%	0.14%	0.11%	0.01%	0.01%	0.01%
6	0.15%	0.16%	0.13%	0.01%	0.01%	0.01%
5	0.18%	0.19%	0.16%	0.01%	0.01%	0.01%
4	0.23%	0.25%	0.22%	0.02%	0.01%	0.02%
3	0.32%	0.34%	0.3%	0.02%	0.02%	0.02%
2	0.46%	0.49%	0.44%	0.02%	0.02%	0.03%
1	0.76%	0.8%	0.72%	0.03%	0.02%	0.04%
0	4.97%	5.49%	4.45%	0.53%	0.53%	0.54%

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

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 0.53% in Liechtenstein, 0.28% vs 0.02% at age 30, 1.92% vs 0.37% at 60, and 11% vs 4.06% at 80.

Death rate by age in Equatorial Guinea vs Liechtenstein

Chart Table

Equatorial Guinea

Male

Female

Liechtenstein

Male

Female

1x

Age	Death rate
	Equatorial Guinea			Liechtenstein
	Total	Male	Female	Total	Male	Female
100	0	0	0	1,195	648	1,703
99	68.2	52.5	85.6	1,554	1,027	2,048
98	102.3	78.9	128	1,907	1,332	2,424
97	150.8	116.9	188	2,268	1,676	2,798
96	216	168.5	268.1	2,609	2,045	3,155
95	300	236.2	371	2,987	2,426	3,481
94	404	320	496	3,302	2,801	3,761
93	529	425	646	3,522	3,153	3,985
92	678	550	822	3,723	3,469	4,144
91	841	690	1,012	3,939	3,735	4,237
90	1,044	863	1,249	4,072	3,945	4,268
89	1,240	1,040	1,468	4,145	4,096	4,245
88	1,461	1,239	1,716	4,129	4,186	4,181
87	1,682	1,443	1,958	4,097	4,218	4,082
86	1,906	1,654	2,202	4,069	4,195	3,956
85	2,111	1,853	2,419	3,929	4,121	3,801
84	2,311	2,057	2,621	3,763	4,000	3,617
83	2,466	2,220	2,772	3,617	3,837	3,402
82	2,609	2,375	2,904	3,410	3,639	3,159
81	2,685	2,471	2,956	3,159	3,417	2,895
80	2,820	2,614	3,078	2,916	3,182	2,625
79	2,857	2,677	3,081	2,660	2,945	2,359
78	2,908	2,748	3,108	2,417	2,714	2,110
77	2,893	2,762	3,062	2,207	2,497	1,883
76	2,887	2,781	3,032	2,009	2,294	1,681
75	2,854	2,773	2,974	1,827	2,107	1,501
74	2,787	2,735	2,879	1,637	1,933	1,343
73	2,705	2,680	2,769	1,470	1,771	1,201
72	2,622	2,618	2,661	1,347	1,618	1,074
71	2,482	2,500	2,494	1,214	1,472	958
70	2,420	2,451	2,412	1,091	1,334	852
69	2,271	2,326	2,229	980	1,202	755
68	2,168	2,237	2,107	869	1,078	665
67	2,052	2,134	1,968	767	962	583
66	1,942	2,034	1,844	682	857	510
65	1,856	1,957	1,743	602	762	446
64	1,748	1,855	1,624	536	680	392
63	1,647	1,758	1,515	478	611	347
62	1,551	1,664	1,415	426	552	310
61	1,435	1,549	1,296	392	503	280.9
60	1,370	1,481	1,230	358	459	256.3
59	1,264	1,375	1,120	324	418	235.3
58	1,189	1,297	1,047	294.1	379	216.4
57	1,112	1,216	971	267.7	340	198.6
56	1,054	1,154	915	245.6	302	181.8
55	995	1,091	858	217.6	266.1	165.9
54	944	1,036	809	190.4	233.9	151.4
53	890	978	758	170.4	206	138.3
52	843	926	717	154.3	182.4	126.8
51	782	861	660	139	162.5	116.7
50	745	821	629	126.5	145.6	107.6
49	690	761	580	115.9	130.6	99.2
48	648	714	546	104.2	116.8	91.3
47	605	667	510	93.6	103.8	83.6
46	570	627	482	84	91.7	76.2
45	542	595	460	75.1	80.6	69.2
44	509	558	434	67	70.7	62.8
43	482	527	413	59.6	62.2	57.2
42	461	503	397	53.6	55.1	52.3
41	430	470	371	48.7	49.3	48.1
40	414	452	358	44.5	44.5	44.6
39	388	424	336	41.1	40.5	41.5
38	369	404	320	38.1	37.3	38.8
37	348	382	301	35.4	34.5	36.4
36	331	364	287.2	33.1	32.1	34.2
35	315	347	273	31.1	30.1	32.1
34	298.6	330	259	29.3	28.4	30.3
33	284.9	316	246.7	27.8	26.9	28.6
32	272.6	303	235.5	26.4	25.6	27.2
31	258.6	288.5	222.6	25.2	24.6	25.9
30	251.6	281.1	216.4	24.3	23.8	24.8
29	241	270.6	205.9	23.6	23.3	23.9
28	233.5	263.4	198.5	23	23.1	23
27	226.2	257	190.2	22.6	23.1	22.2
26	220.1	252.2	182.9	22.3	23.3	21.4
25	214.4	248.1	175.8	22.2	23.7	20.6
24	209.3	244.6	169.2	22	24.1	19.8
23	203.3	239.9	162.3	21.8	24.6	19
22	196.5	233.5	155.8	21.6	24.8	18.2
21	187.9	224.3	149	21	24.7	17.3
20	178.3	212.5	142.7	20.1	24	16.4
19	167.2	197.9	135.3	19.1	22.5	15.3
18	154.8	181.3	127.5	17.5	20.4	14
17	139.7	160.6	118.1	15.5	17.8	12.7
16	125.5	141.2	109.3	13.3	15	11.4
15	111	122.7	99	11.4	12.5	10.1
14	100.1	109.7	90.2	9.8	10.5	9.02
13	92	100.1	83.7	8.67	9.11	8.18
12	87.4	94.8	79.8	7.95	8.24	7.6
11	86	93.2	78.5	7.62	7.86	7.31
10	88.2	95.9	80.2	7.63	7.91	7.31
9	93.4	101.8	84.8	7.99	8.32	7.63
8	102.6	111.3	93.6	8.7	9.05	8.33
7	116.8	126.1	107.2	9.77	10	9.49
6	136.7	146.4	126.6	11.2	11.2	11.2
5	165.2	175.6	154.5	13.2	12.6	13.8
4	216.1	228.6	203.1	15.6	14.1	17.5
3	302	320	283.2	18.8	15.7	22.5
2	438	462	414	23	17.4	29.4
1	721	757	684	28.2	19.4	38.6
0	4,972	5,488	4,450	533	527	541

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 89 in Liechtenstein. The median age of death is 71.3 in Equatorial Guinea and 86.3 in Liechtenstein, 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 Liechtenstein more than their death rates.

Life expectancy in other countries

+ -

1x