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

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

Monaco

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			Monaco
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	103.1	102.6	103.3
99	101	100.9	101	102.3	101.8	102.6
98	100.1	100.1	100.1	101.5	101	101.9
97	99.2	99.2	99.2	100.8	100.2	101.2
96	98.3	98.3	98.3	100.1	99.4	100.5
95	97.4	97.4	97.4	99.3	98.7	99.8
94	96.5	96.5	96.5	98.7	97.9	99.2
93	95.7	95.6	95.7	98	97.2	98.5
92	94.8	94.8	94.9	97.3	96.6	97.9
91	94	94	94	96.7	95.9	97.4
90	93.2	93.1	93.2	96.1	95.3	96.8
89	92.4	92.3	92.4	95.6	94.7	96.3
88	91.6	91.5	91.6	95	94.1	95.8
87	90.8	90.7	90.9	94.5	93.5	95.4
86	90	89.9	90.1	94	93	94.9
85	89.3	89.2	89.4	93.5	92.5	94.5
84	88.6	88.4	88.7	93.1	92	94.1
83	87.9	87.7	88	92.6	91.5	93.7
82	87.2	87	87.3	92.2	91.1	93.3
81	86.5	86.3	86.6	91.9	90.7	93
80	85.8	85.6	86	91.5	90.3	92.7
79	85.2	85	85.4	91.2	89.9	92.4
78	84.6	84.4	84.8	90.9	89.6	92.2
77	84	83.7	84.2	90.6	89.3	91.9
76	83.4	83.1	83.7	90.3	89	91.7
75	82.9	82.6	83.1	90.1	88.7	91.5
74	82.3	82	82.6	89.9	88.5	91.4
73	81.8	81.4	82.1	89.7	88.2	91.2
72	81.3	80.9	81.6	89.5	88	91.1
71	80.8	80.4	81.2	89.3	87.8	90.9
70	80.3	79.9	80.7	89.1	87.6	90.8
69	79.9	79.4	80.3	89	87.4	90.7
68	79.5	79	79.9	88.8	87.2	90.6
67	79	78.6	79.5	88.7	87.1	90.5
66	78.7	78.1	79.2	88.6	86.9	90.4
65	78.3	77.7	78.8	88.5	86.8	90.3
64	77.9	77.3	78.5	88.4	86.7	90.3
63	77.5	76.9	78.1	88.3	86.6	90.2
62	77.2	76.6	77.8	88.2	86.5	90.1
61	76.9	76.2	77.6	88.2	86.4	90.1
60	76.6	75.9	77.3	88.1	86.3	90
59	76.3	75.6	77	88	86.2	90
58	76	75.2	76.8	88	86.1	90
57	75.7	74.9	76.5	87.9	86.1	89.9
56	75.4	74.7	76.3	87.9	86	89.9
55	75.2	74.4	76.1	87.8	85.9	89.8
54	74.9	74.1	75.9	87.8	85.9	89.8
53	74.7	73.8	75.6	87.7	85.8	89.8
52	74.5	73.6	75.4	87.7	85.8	89.7
51	74.2	73.3	75.3	87.6	85.7	89.7
50	74	73.1	75.1	87.6	85.7	89.7
49	73.8	72.9	74.9	87.6	85.7	89.7
48	73.6	72.7	74.7	87.6	85.6	89.6
47	73.4	72.5	74.6	87.5	85.6	89.6
46	73.2	72.3	74.4	87.5	85.6	89.6
45	73.1	72.1	74.2	87.5	85.6	89.6
44	72.9	71.9	74.1	87.5	85.5	89.5
43	72.7	71.7	73.9	87.4	85.5	89.5
42	72.5	71.5	73.8	87.4	85.5	89.5
41	72.4	71.4	73.7	87.4	85.5	89.5
40	72.2	71.2	73.5	87.4	85.5	89.5
39	72.1	71	73.4	87.4	85.5	89.5
38	72	70.9	73.3	87.4	85.4	89.5
37	71.8	70.7	73.2	87.4	85.4	89.4
36	71.7	70.6	73	87.3	85.4	89.4
35	71.6	70.4	72.9	87.3	85.4	89.4
34	71.4	70.3	72.8	87.3	85.4	89.4
33	71.3	70.2	72.7	87.3	85.4	89.4
32	71.2	70.1	72.6	87.3	85.4	89.4
31	71.1	69.9	72.5	87.3	85.4	89.4
30	71	69.8	72.4	87.3	85.4	89.4
29	70.8	69.7	72.3	87.3	85.3	89.4
28	70.7	69.6	72.2	87.3	85.3	89.4
27	70.6	69.4	72.1	87.3	85.3	89.4
26	70.5	69.3	72	87.2	85.3	89.3
25	70.4	69.2	71.9	87.2	85.3	89.3
24	70.3	69.1	71.8	87.2	85.3	89.3
23	70.2	68.9	71.8	87.2	85.3	89.3
22	70.1	68.8	71.7	87.2	85.3	89.3
21	70	68.7	71.6	87.2	85.3	89.3
20	69.9	68.6	71.5	87.2	85.2	89.3
19	69.8	68.5	71.4	87.2	85.2	89.3
18	69.7	68.4	71.4	87.2	85.2	89.3
17	69.6	68.3	71.3	87.2	85.2	89.3
16	69.6	68.2	71.2	87.2	85.2	89.3
15	69.5	68.2	71.2	87.2	85.2	89.3
14	69.5	68.1	71.1	87.1	85.2	89.3
13	69.4	68	71.1	87.1	85.2	89.3
12	69.3	68	71	87.1	85.2	89.3
11	69.3	67.9	71	87.1	85.2	89.3
10	69.2	67.9	70.9	87.1	85.2	89.2
9	69.2	67.8	70.9	87.1	85.2	89.2
8	69.1	67.7	70.8	87.1	85.2	89.2
7	69	67.6	70.7	87.1	85.2	89.2
6	68.9	67.5	70.6	87.1	85.2	89.2
5	68.8	67.4	70.5	87.1	85.2	89.2
4	68.7	67.3	70.4	87.1	85.1	89.2
3	68.5	67	70.2	87.1	85.1	89.2
2	68.2	66.7	69.9	87.1	85.1	89.2
1	67.7	66.2	69.4	87.1	85.1	89.2
0	64.3	62.6	66.3	86.7	84.8	88.8

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 87.3 in Monaco, rising to 78.3 and 88.5 at 65, and to 85.8 and 91.5 at 80 — higher than the 64.3 and 86.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

Monaco

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			Monaco
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	8.43%	4.58%	12.9%
99	0.18%	0.14%	0.22%	10.8%	6.25%	16%
98	0.28%	0.22%	0.35%	13.5%	8.3%	19.4%
97	0.43%	0.33%	0.54%	16.6%	10.7%	23.2%
96	0.65%	0.5%	0.81%	20%	13.6%	27.2%
95	0.95%	0.74%	1.18%	23.7%	16.8%	31.4%
94	1.35%	1.06%	1.67%	27.7%	20.3%	35.7%
93	1.88%	1.48%	2.32%	31.8%	24.1%	40.1%
92	2.56%	2.03%	3.14%	36%	28.2%	44.5%
91	3.4%	2.72%	4.15%	40.2%	32.4%	48.8%
90	4.44%	3.58%	5.4%	44.5%	36.7%	53%
89	5.68%	4.62%	6.87%	48.7%	41%	57.1%
88	7.14%	5.86%	8.58%	52.7%	45.3%	60.9%
87	8.83%	7.31%	10.5%	56.7%	49.5%	64.6%
86	10.7%	8.96%	12.7%	60.5%	53.6%	68%
85	12.8%	10.8%	15.2%	64.1%	57.5%	71.2%
84	15.2%	12.9%	17.8%	67.5%	61.2%	74.3%
83	17.6%	15.1%	20.6%	70.7%	64.7%	77.1%
82	20.2%	17.5%	23.5%	73.6%	68%	79.6%
81	22.9%	19.9%	26.4%	76.3%	71%	81.9%
80	25.7%	22.6%	29.5%	78.7%	73.8%	83.9%
79	28.6%	25.2%	32.6%	80.9%	76.3%	85.7%
78	31.5%	28%	35.7%	82.8%	78.6%	87.3%
77	34.4%	30.7%	38.7%	84.6%	80.7%	88.6%
76	37.3%	33.5%	41.8%	86.1%	82.6%	89.9%
75	40.1%	36.3%	44.7%	87.6%	84.3%	90.9%
74	42.9%	39%	47.6%	88.8%	85.9%	91.9%
73	45.6%	41.7%	50.4%	90%	87.3%	92.7%
72	48.2%	44.3%	53.1%	91%	88.5%	93.5%
71	50.7%	46.8%	55.6%	91.9%	89.7%	94.1%
70	53.1%	49.3%	58%	92.7%	90.7%	94.7%
69	55.4%	51.6%	60.2%	93.4%	91.7%	95.2%
68	57.6%	53.8%	62.3%	94.1%	92.5%	95.7%
67	59.6%	56%	64.3%	94.6%	93.2%	96%
66	61.6%	58%	66.1%	95.1%	93.9%	96.4%
65	63.4%	60%	67.9%	95.6%	94.4%	96.7%
64	65.2%	61.8%	69.5%	96%	94.9%	96.9%
63	66.8%	63.6%	71%	96.3%	95.4%	97.1%
62	68.4%	65.2%	72.4%	96.6%	95.8%	97.3%
61	69.8%	66.8%	73.7%	96.9%	96.2%	97.5%
60	71.2%	68.3%	74.9%	97.1%	96.5%	97.7%
59	72.5%	69.6%	76.1%	97.3%	96.8%	97.8%
58	73.6%	70.9%	77.1%	97.5%	97.1%	98%
57	74.8%	72.2%	78.1%	97.7%	97.3%	98.1%
56	75.8%	73.3%	79%	97.9%	97.6%	98.2%
55	76.8%	74.4%	79.8%	98%	97.8%	98.3%
54	77.7%	75.4%	80.7%	98.2%	97.9%	98.4%
53	78.6%	76.4%	81.4%	98.3%	98.1%	98.5%
52	79.5%	77.3%	82.1%	98.4%	98.2%	98.6%
51	80.3%	78.2%	82.8%	98.5%	98.3%	98.7%
50	81%	79%	83.4%	98.6%	98.4%	98.7%
49	81.7%	79.8%	84%	98.7%	98.5%	98.8%
48	82.3%	80.5%	84.5%	98.7%	98.6%	98.8%
47	82.9%	81.2%	85.1%	98.8%	98.7%	98.9%
46	83.5%	81.8%	85.5%	98.9%	98.8%	98.9%
45	84.1%	82.4%	86%	98.9%	98.8%	99%
44	84.6%	82.9%	86.4%	99%	98.9%	99%
43	85.1%	83.5%	86.8%	99%	98.9%	99.1%
42	85.5%	84%	87.2%	99%	99%	99.1%
41	85.9%	84.4%	87.6%	99.1%	99%	99.1%
40	86.4%	84.9%	88%	99.1%	99%	99.2%
39	86.7%	85.3%	88.3%	99.1%	99.1%	99.2%
38	87.1%	85.7%	88.6%	99.1%	99.1%	99.2%
37	87.5%	86.1%	88.9%	99.2%	99.1%	99.2%
36	87.8%	86.5%	89.2%	99.2%	99.1%	99.2%
35	88.1%	86.8%	89.5%	99.2%	99.2%	99.3%
34	88.4%	87.2%	89.7%	99.2%	99.2%	99.3%
33	88.7%	87.5%	90%	99.3%	99.2%	99.3%
32	89%	87.8%	90.2%	99.3%	99.2%	99.3%
31	89.2%	88.1%	90.4%	99.3%	99.2%	99.3%
30	89.5%	88.3%	90.7%	99.3%	99.3%	99.4%
29	89.7%	88.6%	90.9%	99.3%	99.3%	99.4%
28	89.9%	88.9%	91.1%	99.3%	99.3%	99.4%
27	90.2%	89.1%	91.3%	99.4%	99.3%	99.4%
26	90.4%	89.4%	91.4%	99.4%	99.3%	99.4%
25	90.6%	89.6%	91.6%	99.4%	99.3%	99.4%
24	90.8%	89.9%	91.8%	99.4%	99.4%	99.4%
23	91%	90.1%	92%	99.4%	99.4%	99.4%
22	91.2%	90.3%	92.1%	99.4%	99.4%	99.5%
21	91.4%	90.6%	92.3%	99.4%	99.4%	99.5%
20	91.6%	90.8%	92.4%	99.5%	99.4%	99.5%
19	91.8%	91%	92.5%	99.5%	99.4%	99.5%
18	91.9%	91.2%	92.7%	99.5%	99.5%	99.5%
17	92%	91.3%	92.8%	99.5%	99.5%	99.5%
16	92.2%	91.5%	92.9%	99.5%	99.5%	99.5%
15	92.3%	91.6%	93%	99.5%	99.5%	99.5%
14	92.4%	91.7%	93.1%	99.5%	99.5%	99.5%
13	92.5%	91.8%	93.2%	99.5%	99.5%	99.5%
12	92.6%	91.9%	93.2%	99.5%	99.5%	99.5%
11	92.6%	92%	93.3%	99.5%	99.5%	99.5%
10	92.7%	92.1%	93.4%	99.5%	99.5%	99.5%
9	92.8%	92.2%	93.5%	99.5%	99.5%	99.6%
8	92.9%	92.3%	93.6%	99.5%	99.5%	99.6%
7	93%	92.4%	93.7%	99.6%	99.5%	99.6%
6	93.2%	92.6%	93.8%	99.6%	99.6%	99.6%
5	93.4%	92.7%	94%	99.6%	99.6%	99.6%
4	93.6%	93%	94.2%	99.6%	99.6%	99.6%
3	93.9%	93.3%	94.5%	99.6%	99.6%	99.6%
2	94.3%	93.8%	94.9%	99.6%	99.6%	99.6%
1	95%	94.5%	95.5%	99.6%	99.6%	99.6%

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 97.1% in Monaco are expected to live past 60, 53.1% and 92.7% past 70, 25.7% and 78.7% past 80, and only 4.44% and 44.5% 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

Monaco

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			Monaco
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	23.4%	28.5%	20.9%
99	38.5%	38.4%	38.5%	21.9%	26.7%	19.5%
98	36.6%	36.6%	36.6%	20.2%	24.7%	17.8%
97	35%	35.2%	34.9%	18.6%	22.7%	16.2%
96	33.4%	33.6%	33.3%	17%	20.9%	14.7%
95	31.7%	32%	31.5%	15.6%	19.1%	13.4%
94	29.9%	30.3%	29.6%	14.2%	17.4%	12.1%
93	28.2%	28.6%	27.9%	12.9%	15.8%	10.9%
92	26.5%	27.1%	26.2%	11.7%	14.4%	9.85%
91	24.7%	25.3%	24.4%	10.6%	13%	8.83%
90	23.5%	24.1%	23.1%	9.55%	11.7%	7.9%
89	21.8%	22.5%	21.4%	8.61%	10.5%	7.06%
88	20.5%	21.1%	20%	7.77%	9.46%	6.32%
87	19.1%	19.7%	18.6%	6.98%	8.5%	5.66%
86	17.8%	18.5%	17.3%	6.28%	7.62%	5.08%
85	16.4%	17.1%	16%	5.63%	6.83%	4.55%
84	15.2%	16%	14.7%	5.04%	6.1%	4.07%
83	14%	14.7%	13.5%	4.49%	5.43%	3.62%
82	12.9%	13.6%	12.4%	3.97%	4.82%	3.19%
81	11.7%	12.4%	11.2%	3.49%	4.26%	2.79%
80	11%	11.6%	10.4%	3.07%	3.75%	2.42%
79	9.99%	10.6%	9.46%	2.69%	3.31%	2.09%
78	9.23%	9.82%	8.71%	2.36%	2.91%	1.8%
77	8.41%	8.99%	7.9%	2.07%	2.58%	1.56%
76	7.74%	8.3%	7.26%	1.83%	2.28%	1.35%
75	7.11%	7.64%	6.65%	1.62%	2.03%	1.18%
74	6.49%	7.01%	6.04%	1.43%	1.81%	1.03%
73	5.93%	6.43%	5.49%	1.27%	1.62%	0.91%
72	5.43%	5.91%	5.02%	1.12%	1.44%	0.8%
71	4.89%	5.34%	4.49%	0.99%	1.29%	0.7%
70	4.55%	4.97%	4.16%	0.88%	1.14%	0.61%
69	4.1%	4.51%	3.7%	0.78%	1.01%	0.53%
68	3.77%	4.15%	3.38%	0.68%	0.89%	0.46%
67	3.44%	3.81%	3.06%	0.59%	0.78%	0.4%
66	3.15%	3.51%	2.79%	0.52%	0.69%	0.35%
65	2.93%	3.26%	2.57%	0.45%	0.6%	0.3%
64	2.68%	3%	2.34%	0.4%	0.53%	0.26%
63	2.46%	2.77%	2.13%	0.35%	0.47%	0.23%
62	2.27%	2.55%	1.95%	0.31%	0.43%	0.2%
61	2.06%	2.32%	1.76%	0.28%	0.38%	0.18%
60	1.92%	2.17%	1.64%	0.26%	0.35%	0.17%
59	1.74%	1.97%	1.47%	0.23%	0.32%	0.15%
58	1.62%	1.83%	1.36%	0.21%	0.29%	0.14%
57	1.49%	1.69%	1.24%	0.19%	0.26%	0.13%
56	1.39%	1.57%	1.16%	0.17%	0.23%	0.12%
55	1.3%	1.47%	1.07%	0.15%	0.2%	0.11%
54	1.21%	1.37%	1%	0.13%	0.18%	0.1%
53	1.13%	1.28%	0.93%	0.12%	0.15%	0.09%
52	1.06%	1.2%	0.87%	0.11%	0.14%	0.08%
51	0.97%	1.1%	0.8%	0.1%	0.12%	0.07%
50	0.92%	1.04%	0.75%	0.09%	0.11%	0.07%
49	0.84%	0.95%	0.69%	0.08%	0.1%	0.06%
48	0.79%	0.89%	0.65%	0.07%	0.09%	0.06%
47	0.73%	0.82%	0.6%	0.06%	0.08%	0.05%
46	0.68%	0.77%	0.56%	0.06%	0.07%	0.05%
45	0.64%	0.72%	0.53%	0.05%	0.06%	0.04%
44	0.6%	0.67%	0.5%	0.05%	0.05%	0.04%
43	0.57%	0.63%	0.48%	0.04%	0.05%	0.04%
42	0.54%	0.6%	0.45%	0.04%	0.04%	0.03%
41	0.5%	0.56%	0.42%	0.03%	0.04%	0.03%
40	0.48%	0.53%	0.41%	0.03%	0.03%	0.03%
39	0.45%	0.5%	0.38%	0.03%	0.03%	0.03%
38	0.42%	0.47%	0.36%	0.03%	0.03%	0.02%
37	0.4%	0.44%	0.34%	0.02%	0.03%	0.02%
36	0.38%	0.42%	0.32%	0.02%	0.02%	0.02%
35	0.36%	0.4%	0.31%	0.02%	0.02%	0.02%
34	0.34%	0.38%	0.29%	0.02%	0.02%	0.02%
33	0.32%	0.36%	0.27%	0.02%	0.02%	0.02%
32	0.31%	0.35%	0.26%	0.02%	0.02%	0.02%
31	0.29%	0.33%	0.25%	0.02%	0.02%	0.02%
30	0.28%	0.32%	0.24%	0.02%	0.02%	0.02%
29	0.27%	0.31%	0.23%	0.02%	0.02%	0.02%
28	0.26%	0.3%	0.22%	0.02%	0.02%	0.01%
27	0.25%	0.29%	0.21%	0.02%	0.02%	0.01%
26	0.24%	0.28%	0.2%	0.02%	0.02%	0.01%
25	0.24%	0.28%	0.19%	0.02%	0.02%	0.01%
24	0.23%	0.27%	0.18%	0.02%	0.02%	0.01%
23	0.22%	0.27%	0.18%	0.02%	0.02%	0.01%
22	0.22%	0.26%	0.17%	0.01%	0.02%	0.01%
21	0.21%	0.25%	0.16%	0.01%	0.02%	0.01%
20	0.19%	0.23%	0.15%	0.01%	0.02%	0.01%
19	0.18%	0.22%	0.15%	0.01%	0.02%	0.01%
18	0.17%	0.2%	0.14%	0.01%	0.01%	0.009%
17	0.15%	0.18%	0.13%	0.01%	0.01%	0.008%
16	0.14%	0.15%	0.12%	0.009%	0.01%	0.007%
15	0.12%	0.13%	0.11%	0.008%	0.009%	0.006%
14	0.11%	0.12%	0.1%	0.007%	0.008%	0.006%
13	0.1%	0.11%	0.09%	0.006%	0.007%	0.005%
12	0.09%	0.1%	0.09%	0.005%	0.006%	0.005%
11	0.09%	0.1%	0.08%	0.005%	0.006%	0.005%
10	0.1%	0.1%	0.09%	0.005%	0.006%	0.005%
9	0.1%	0.11%	0.09%	0.006%	0.006%	0.005%
8	0.11%	0.12%	0.1%	0.006%	0.007%	0.005%
7	0.13%	0.14%	0.11%	0.007%	0.007%	0.006%
6	0.15%	0.16%	0.13%	0.008%	0.008%	0.007%
5	0.18%	0.19%	0.16%	0.009%	0.009%	0.009%
4	0.23%	0.25%	0.22%	0.01%	0.01%	0.01%
3	0.32%	0.34%	0.3%	0.01%	0.01%	0.01%
2	0.46%	0.49%	0.44%	0.02%	0.01%	0.02%
1	0.76%	0.8%	0.72%	0.02%	0.01%	0.03%
0	4.97%	5.49%	4.45%	0.37%	0.39%	0.35%

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

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 0.37% in Monaco, 0.28% vs 0.02% at age 30, 1.92% vs 0.26% at 60, and 11% vs 3.07% at 80.

Death rate by age in Equatorial Guinea vs Monaco

Chart Table

Equatorial Guinea

Male

Female

Monaco

Male

Female

1x

Age	Death rate
	Equatorial Guinea			Monaco
	Total	Male	Female	Total	Male	Female
100	0	0	0	2,061	1,279	2,888
99	68.2	52.5	85.6	2,366	1,666	3,112
98	102.3	78.9	128	2,737	2,047	3,458
97	150.8	116.9	188	3,088	2,442	3,761
96	216	168.5	268.1	3,410	2,834	4,012
95	300	236.2	371	3,692	3,205	4,204
94	404	320	496	3,925	3,540	4,333
93	529	425	646	4,101	3,824	4,393
92	678	550	822	4,209	4,045	4,384
91	841	690	1,012	4,255	4,200	4,311
90	1,044	863	1,249	4,245	4,288	4,187
89	1,240	1,040	1,468	4,188	4,314	4,027
88	1,461	1,239	1,716	4,096	4,284	3,846
87	1,682	1,443	1,958	3,958	4,205	3,654
86	1,906	1,654	2,202	3,797	4,083	3,454
85	2,111	1,853	2,419	3,611	3,925	3,245
84	2,311	2,057	2,621	3,402	3,735	3,024
83	2,466	2,220	2,772	3,174	3,516	2,787
82	2,609	2,375	2,904	2,921	3,276	2,537
81	2,685	2,471	2,956	2,665	3,024	2,281
80	2,820	2,614	3,078	2,413	2,769	2,028
79	2,857	2,677	3,081	2,173	2,523	1,789
78	2,908	2,748	3,108	1,954	2,291	1,573
77	2,893	2,762	3,062	1,753	2,079	1,381
76	2,887	2,781	3,032	1,575	1,886	1,215
75	2,854	2,773	2,974	1,418	1,713	1,072
74	2,787	2,735	2,879	1,271	1,556	948
73	2,705	2,680	2,769	1,140	1,412	840
72	2,622	2,618	2,661	1,024	1,279	744
71	2,482	2,500	2,494	914	1,154	658
70	2,420	2,451	2,412	815	1,038	580
69	2,271	2,326	2,229	725	928	509
68	2,168	2,237	2,107	639	826	444
67	2,052	2,134	1,968	561	731	385
66	1,942	2,034	1,844	491	646	334
65	1,856	1,957	1,743	431	571	289.1
64	1,748	1,855	1,624	381	506	251.9
63	1,647	1,758	1,515	338	452	221.7
62	1,551	1,664	1,415	302	407	197.5
61	1,435	1,549	1,296	272.3	370	178.2
60	1,370	1,481	1,230	249.4	337	162.6
59	1,264	1,375	1,120	228.4	307	149.4
58	1,189	1,297	1,047	206.5	278.4	137.5
57	1,112	1,216	971	185.8	249.9	126.3
56	1,054	1,154	915	166.8	222	115.7
55	995	1,091	858	148.4	195.7	105.6
54	944	1,036	809	132.4	171.9	96.2
53	890	978	758	117.9	151.3	87.8
52	843	926	717	105.8	133.9	80.5
51	782	861	660	95.9	119.3	74
50	745	821	629	86.1	106.8	68.2
49	690	761	580	77.9	95.8	62.9
48	648	714	546	70.8	85.7	57.9
47	605	667	510	63.7	76.2	53
46	570	627	482	57.1	67.3	48.3
45	542	595	460	50.9	59.2	43.9
44	509	558	434	45.5	51.9	39.8
43	482	527	413	40.8	45.7	36.2
42	461	503	397	36.7	40.4	33.1
41	430	470	371	33.3	36.1	30.5
40	414	452	358	30.4	32.6	28.2
39	388	424	336	28	29.7	26.3
38	369	404	320	26	27.3	24.6
37	348	382	301	24.2	25.3	23
36	331	364	287.2	22.6	23.5	21.6
35	315	347	273	21.2	22.1	20.3
34	298.6	330	259	20	20.8	19.1
33	284.9	316	246.7	18.9	19.7	18.1
32	272.6	303	235.5	18	18.7	17.1
31	258.6	288.5	222.6	17.2	18	16.3
30	251.6	281.1	216.4	16.6	17.4	15.7
29	241	270.6	205.9	16.1	17	15
28	233.5	263.4	198.5	15.7	16.8	14.5
27	226.2	257	190.2	15.4	16.8	13.9
26	220.1	252.2	182.9	15.3	17	13.4
25	214.4	248.1	175.8	15.1	17.3	12.9
24	209.3	244.6	169.2	15.1	17.6	12.5
23	203.3	239.9	162.3	15	17.9	11.9
22	196.5	233.5	155.8	14.8	18.1	11.4
21	187.9	224.3	149	14.5	17.9	10.9
20	178.3	212.5	142.7	13.9	17.4	10.2
19	167.2	197.9	135.3	13	16.3	9.55
18	154.8	181.3	127.5	11.8	14.7	8.77
17	139.7	160.6	118.1	10.4	12.8	7.94
16	125.5	141.2	109.3	9.02	10.9	7.11
15	111	122.7	99	7.74	9.1	6.34
14	100.1	109.7	90.2	6.68	7.66	5.68
13	92	100.1	83.7	5.91	6.64	5.17
12	87.4	94.8	79.8	5.42	6.01	4.83
11	86	93.2	78.5	5.2	5.75	4.65
10	88.2	95.9	80.2	5.23	5.78	4.66
9	93.4	101.8	84.8	5.5	6.09	4.88
8	102.6	111.3	93.6	5.99	6.63	5.33
7	116.8	126.1	107.2	6.73	7.36	6.09
6	136.7	146.4	126.6	7.75	8.24	7.23
5	165.2	175.6	154.5	9.08	9.24	8.91
4	216.1	228.6	203.1	10.8	10.3	11.3
3	302	320	283.2	13	11.5	14.6
2	438	462	414	15.9	12.9	19.1
1	721	757	684	19.6	14.3	25.2
0	4,972	5,488	4,450	368	386	350

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 91 in Monaco. The median age of death is 71.3 in Equatorial Guinea and 88.7 in Monaco, 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 Monaco more than their death rates.

Life expectancy in other countries

+ -

1x