Life Expectancy in Equatorial Guinea vs Mauritius (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Equatorial Guinea vs Mauritius: 70.9 years vs 77.1 at 30, 78.2 vs 82.4 at 65, 85.8 vs 88.5 at 80 — significantly higher than the 64.1 vs 75.3 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Equatorial Guinea and Mauritius.

Table

Current age, years	Total life expectancy, years
	Equatorial Guinea			Mauritius
	Average	Male	Female	Average	Male	Female
0	64.1	62.4	66.1	75.3	72.3	78.5
1	67.5	66.1	69.3	76.1	73.2	79.3
2	68	66.6	69.8	76.2	73.2	79.4
3	68.3	66.9	70.1	76.2	73.2	79.4
4	68.6	67.2	70.3	76.2	73.3	79.4
5	68.7	67.3	70.4	76.3	73.3	79.5
6	68.8	67.4	70.5	76.3	73.3	79.5
7	68.9	67.5	70.6	76.3	73.3	79.5
8	69	67.6	70.7	76.3	73.3	79.5
9	69.1	67.7	70.7	76.3	73.3	79.5
10	69.1	67.7	70.8	76.3	73.4	79.5
11	69.2	67.8	70.8	76.3	73.4	79.5
12	69.2	67.9	70.9	76.3	73.4	79.5
13	69.3	67.9	71	76.3	73.4	79.5
14	69.3	68	71	76.4	73.4	79.5
15	69.4	68.1	71.1	76.4	73.4	79.5
16	69.5	68.1	71.1	76.4	73.4	79.6
17	69.5	68.2	71.2	76.4	73.5	79.6
18	69.6	68.3	71.3	76.5	73.5	79.6
19	69.7	68.4	71.3	76.5	73.6	79.6
20	69.8	68.5	71.4	76.5	73.6	79.7
21	69.9	68.6	71.5	76.6	73.7	79.7
22	70	68.7	71.6	76.6	73.8	79.7
23	70.1	68.9	71.7	76.7	73.8	79.7
24	70.2	69	71.7	76.7	73.9	79.8
25	70.3	69.1	71.8	76.8	74	79.8
26	70.4	69.2	71.9	76.8	74	79.8
27	70.5	69.4	72	76.9	74.1	79.9
28	70.7	69.5	72.1	76.9	74.2	79.9
29	70.8	69.6	72.2	77	74.2	79.9
30	70.9	69.7	72.3	77.1	74.3	80
31	71	69.8	72.4	77.1	74.4	80
32	71.1	70	72.5	77.2	74.5	80.1
33	71.2	70.1	72.6	77.2	74.5	80.1
34	71.4	70.2	72.7	77.3	74.6	80.1
35	71.5	70.4	72.8	77.4	74.7	80.2
36	71.6	70.5	73	77.4	74.8	80.2
37	71.8	70.7	73.1	77.5	74.9	80.3
38	71.9	70.8	73.2	77.6	75	80.3
39	72	71	73.3	77.7	75.2	80.4
40	72.2	71.1	73.5	77.8	75.3	80.5
41	72.3	71.3	73.6	77.9	75.4	80.5
42	72.5	71.5	73.7	78	75.5	80.6
43	72.7	71.6	73.9	78.1	75.7	80.7
44	72.8	71.8	74	78.2	75.8	80.8
45	73	72	74.2	78.3	75.9	80.8
46	73.2	72.2	74.3	78.5	76.1	80.9
47	73.4	72.4	74.5	78.6	76.3	81
48	73.6	72.6	74.7	78.7	76.4	81.1
49	73.8	72.8	74.8	78.9	76.6	81.2
50	74	73.1	75	79.1	76.8	81.4
51	74.2	73.3	75.2	79.2	77	81.5
52	74.4	73.5	75.4	79.4	77.2	81.6
53	74.6	73.8	75.6	79.6	77.5	81.7
54	74.9	74.1	75.8	79.8	77.7	81.8
55	75.1	74.3	76	79.9	77.9	82
56	75.4	74.6	76.2	80.1	78.2	82.1
57	75.7	74.9	76.5	80.3	78.4	82.3
58	75.9	75.2	76.7	80.6	78.7	82.4
59	76.2	75.5	77	80.8	78.9	82.6
60	76.5	75.9	77.2	81	79.2	82.8
61	76.9	76.2	77.5	81.3	79.5	83
62	77.2	76.5	77.8	81.5	79.8	83.2
63	77.5	76.9	78.1	81.8	80.1	83.4
64	77.9	77.3	78.4	82.1	80.5	83.6
65	78.2	77.7	78.8	82.4	80.8	83.8
66	78.6	78.1	79.1	82.7	81.2	84.1
67	79	78.5	79.5	83	81.6	84.3
68	79.4	79	79.9	83.4	82	84.6
69	79.9	79.4	80.3	83.7	82.4	84.9
70	80.3	79.9	80.7	84.1	82.8	85.2
71	80.8	80.4	81.1	84.5	83.2	85.5
72	81.3	80.9	81.6	84.8	83.7	85.8
73	81.8	81.4	82.1	85.2	84.1	86.2
74	82.3	82	82.6	85.6	84.6	86.6
75	82.8	82.5	83.1	86.1	85	86.9
76	83.4	83.1	83.6	86.5	85.5	87.3
77	84	83.7	84.2	87	86	87.8
78	84.6	84.3	84.8	87.5	86.6	88.2
79	85.2	85	85.4	88	87.1	88.6
80	85.8	85.6	86	88.5	87.7	89.1
81	86.5	86.3	86.6	89	88.3	89.6
82	87.2	87	87.3	89.6	88.9	90.1
83	87.8	87.7	88	90.1	89.5	90.6
84	88.6	88.4	88.7	90.7	90.1	91.1
85	89.3	89.2	89.4	91.3	90.8	91.6
86	90	89.9	90.1	91.9	91.4	92.2
87	90.8	90.7	90.9	92.6	92.1	92.8
88	91.6	91.5	91.6	93.3	92.8	93.5
89	92.4	92.3	92.4	94	93.6	94.2
90	93.2	93.1	93.2	94.7	94.3	94.9
91	94	94	94	95.4	95.1	95.6
92	94.8	94.8	94.9	96.1	95.9	96.3
93	95.7	95.6	95.7	96.9	96.6	97
94	96.5	96.5	96.5	97.7	97.4	97.8
95	97.4	97.4	97.4	98.4	98.2	98.5
96	98.3	98.3	98.3	99.2	99.1	99.3
97	99.2	99.2	99.2	100	99.9	100.1
98	100.1	100	100.1	100.9	100.7	101
99	101	100.9	101	101.7	101.5	101.8
100	101.9	101.8	101.9	102.6	102.3	102.7

Odds of living to age in Equatorial Guinea vs Mauritius

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 70.9% in Equatorial Guinea and 84.9% in Mauritius are expected to survive till at least 60 years old, 52.8% and 70.9% will live to 70 years or older, 25.5% and 47% to 80+ years, and 4.39% and 17.1% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Equatorial Guinea			Mauritius
	Average	Male	Female	Average	Male	Female
1	94.9%	94.4%	95.4%	98.9%	98.8%	98.9%
2	94.2%	93.6%	94.7%	98.8%	98.7%	98.9%
3	93.7%	93.2%	94.3%	98.8%	98.7%	98.8%
4	93.4%	92.8%	94%	98.7%	98.6%	98.8%
5	93.2%	92.6%	93.8%	98.7%	98.6%	98.8%
6	93%	92.4%	93.7%	98.7%	98.6%	98.8%
7	92.9%	92.3%	93.5%	98.7%	98.6%	98.8%
8	92.8%	92.2%	93.4%	98.7%	98.6%	98.8%
9	92.7%	92.1%	93.3%	98.6%	98.5%	98.7%
10	92.6%	91.9%	93.2%	98.6%	98.5%	98.7%
11	92.5%	91.9%	93.2%	98.6%	98.5%	98.7%
12	92.4%	91.8%	93.1%	98.6%	98.5%	98.7%
13	92.3%	91.7%	93%	98.6%	98.5%	98.7%
14	92.2%	91.6%	92.9%	98.6%	98.4%	98.7%
15	92.1%	91.4%	92.8%	98.5%	98.4%	98.6%
16	92%	91.3%	92.7%	98.5%	98.4%	98.6%
17	91.9%	91.2%	92.6%	98.5%	98.3%	98.6%
18	91.7%	91%	92.5%	98.4%	98.2%	98.6%
19	91.6%	90.8%	92.4%	98.3%	98.1%	98.5%
20	91.4%	90.6%	92.2%	98.3%	98%	98.5%
21	91.2%	90.4%	92.1%	98.2%	97.9%	98.4%
22	91%	90.2%	91.9%	98.1%	97.8%	98.4%
23	90.8%	90%	91.8%	98%	97.7%	98.3%
24	90.6%	89.7%	91.6%	97.9%	97.6%	98.3%
25	90.4%	89.5%	91.4%	97.8%	97.4%	98.2%
26	90.2%	89.2%	91.2%	97.7%	97.3%	98.2%
27	90%	89%	91.1%	97.6%	97.1%	98.1%
28	89.8%	88.7%	90.9%	97.5%	97%	98%
29	89.5%	88.4%	90.7%	97.4%	96.8%	98%
30	89.3%	88.2%	90.5%	97.3%	96.7%	97.9%
31	89%	87.9%	90.2%	97.1%	96.5%	97.8%
32	88.8%	87.6%	90%	97%	96.3%	97.7%
33	88.5%	87.3%	89.8%	96.9%	96.2%	97.6%
34	88.2%	87%	89.5%	96.7%	96%	97.6%
35	87.9%	86.6%	89.3%	96.6%	95.7%	97.5%
36	87.6%	86.3%	89%	96.4%	95.5%	97.4%
37	87.2%	85.9%	88.7%	96.2%	95.2%	97.2%
38	86.9%	85.5%	88.4%	96%	94.9%	97.1%
39	86.5%	85.1%	88.1%	95.8%	94.6%	97%
40	86.1%	84.7%	87.7%	95.5%	94.3%	96.9%
41	85.7%	84.2%	87.3%	95.3%	94%	96.7%
42	85.3%	83.7%	87%	95%	93.6%	96.5%
43	84.8%	83.2%	86.6%	94.7%	93.2%	96.3%
44	84.3%	82.7%	86.2%	94.4%	92.9%	96.1%
45	83.8%	82.1%	85.7%	94.1%	92.4%	95.9%
46	83.2%	81.5%	85.2%	93.7%	92%	95.6%
47	82.7%	80.9%	84.8%	93.3%	91.5%	95.3%
48	82.1%	80.2%	84.2%	92.9%	91%	95%
49	81.4%	79.5%	83.7%	92.5%	90.4%	94.7%
50	80.7%	78.8%	83.1%	92%	89.7%	94.4%
51	80%	77.9%	82.5%	91.4%	89%	94.1%
52	79.2%	77.1%	81.8%	90.9%	88.3%	93.7%
53	78.3%	76.1%	81.1%	90.3%	87.5%	93.3%
54	77.4%	75.2%	80.3%	89.6%	86.6%	92.9%
55	76.5%	74.1%	79.5%	88.9%	85.8%	92.4%
56	75.5%	73%	78.7%	88.2%	84.9%	91.9%
57	74.4%	71.9%	77.7%	87.5%	83.9%	91.4%
58	73.3%	70.6%	76.8%	86.7%	82.9%	90.8%
59	72.1%	69.3%	75.7%	85.8%	81.8%	90.1%
60	70.9%	68%	74.6%	84.9%	80.7%	89.5%
61	69.5%	66.5%	73.4%	83.9%	79.5%	88.7%
62	68.1%	64.9%	72.1%	82.9%	78.1%	88%
63	66.5%	63.3%	70.6%	81.7%	76.7%	87.1%
64	64.9%	61.5%	69.1%	80.4%	75.1%	86.2%
65	63.1%	59.7%	67.5%	79.1%	73.4%	85.1%
66	61.3%	57.7%	65.8%	77.6%	71.7%	84%
67	59.3%	55.7%	63.9%	76.1%	69.8%	82.8%
68	57.3%	53.5%	61.9%	74.4%	67.9%	81.4%
69	55.1%	51.3%	59.8%	72.7%	65.9%	80%
70	52.8%	49%	57.6%	70.9%	63.8%	78.4%
71	50.4%	46.5%	55.2%	69%	61.7%	76.7%
72	48%	44%	52.7%	67%	59.6%	75%
73	45.3%	41.4%	50.1%	64.9%	57.3%	73%
74	42.6%	38.8%	47.3%	62.7%	55%	71%
75	39.9%	36%	44.4%	60.3%	52.5%	68.8%
76	37%	33.3%	41.5%	57.9%	49.9%	66.5%
77	34.1%	30.5%	38.4%	55.3%	47.2%	64%
78	31.3%	27.8%	35.4%	52.6%	44.4%	61.4%
79	28.4%	25%	32.3%	49.8%	41.5%	58.7%
80	25.5%	22.4%	29.2%	47%	38.6%	55.9%
81	22.7%	19.8%	26.2%	44.1%	35.8%	53%
82	20.1%	17.3%	23.2%	41.1%	32.9%	50%
83	17.5%	14.9%	20.3%	38.2%	30%	46.9%
84	15%	12.7%	17.6%	35.1%	27.2%	43.6%
85	12.7%	10.7%	15%	32%	24.4%	40.2%
86	10.6%	8.86%	12.6%	28.9%	21.7%	36.7%
87	8.73%	7.22%	10.4%	25.8%	19%	33.1%
88	7.06%	5.79%	8.48%	22.7%	16.4%	29.6%
89	5.62%	4.57%	6.78%	19.8%	14%	26%
90	4.39%	3.54%	5.33%	17.1%	11.9%	22.7%
91	3.36%	2.69%	4.09%	14.5%	9.89%	19.5%
92	2.52%	2.01%	3.09%	12.2%	8.14%	16.6%
93	1.85%	1.46%	2.28%	10.1%	6.61%	13.9%
94	1.33%	1.04%	1.65%	8.25%	5.28%	11.4%
95	0.93%	0.73%	1.16%	6.61%	4.14%	9.25%
96	0.64%	0.49%	0.79%	5.19%	3.19%	7.34%
97	0.42%	0.33%	0.53%	4%	2.42%	5.71%
98	0.28%	0.21%	0.34%	3.02%	1.79%	4.35%
99	0.17%	0.13%	0.22%	2.23%	1.3%	3.24%
100	0.11%	0.08%	0.13%	1.61%	0.93%	2.36%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 5.08% in the birth year in Equatorial Guinea and 1.14% in Mauritius, 0.29% vs 0.13% at age 30, 1.94% vs 1.17% at 60, and 11% vs 6.15% at 80.

Below is a graph displaying the probabilities of dying in Equatorial Guinea compared to Mauritius at any given age.

Table

Age	Probability of dying
	Equatorial Guinea			Mauritius
	Average	Male	Female	Average	Male	Female
0	5.08%	5.59%	4.56%	1.14%	1.21%	1.06%
1	0.77%	0.82%	0.73%	0.06%	0.06%	0.07%
2	0.47%	0.5%	0.45%	0.04%	0.05%	0.04%
3	0.33%	0.35%	0.31%	0.03%	0.04%	0.03%
4	0.23%	0.25%	0.22%	0.02%	0.03%	0.02%
5	0.18%	0.19%	0.17%	0.02%	0.02%	0.01%
6	0.15%	0.16%	0.14%	0.02%	0.02%	0.01%
7	0.13%	0.14%	0.12%	0.01%	0.02%	0.01%
8	0.11%	0.12%	0.1%	0.01%	0.02%	0.009%
9	0.1%	0.11%	0.09%	0.01%	0.02%	0.01%
10	0.1%	0.11%	0.09%	0.01%	0.02%	0.01%
11	0.09%	0.1%	0.09%	0.02%	0.02%	0.01%
12	0.1%	0.1%	0.09%	0.02%	0.02%	0.02%
13	0.1%	0.11%	0.09%	0.02%	0.02%	0.02%
14	0.11%	0.12%	0.1%	0.03%	0.03%	0.02%
15	0.12%	0.14%	0.11%	0.04%	0.04%	0.03%
16	0.14%	0.16%	0.12%	0.04%	0.06%	0.03%
17	0.15%	0.18%	0.13%	0.06%	0.08%	0.04%
18	0.17%	0.2%	0.14%	0.07%	0.1%	0.04%
19	0.19%	0.22%	0.15%	0.08%	0.11%	0.04%
20	0.2%	0.24%	0.16%	0.08%	0.12%	0.05%
21	0.21%	0.25%	0.17%	0.08%	0.12%	0.05%
22	0.22%	0.26%	0.17%	0.09%	0.12%	0.05%
23	0.23%	0.27%	0.18%	0.09%	0.13%	0.05%
24	0.23%	0.28%	0.19%	0.1%	0.13%	0.06%
25	0.24%	0.28%	0.2%	0.1%	0.14%	0.06%
26	0.25%	0.29%	0.2%	0.11%	0.15%	0.06%
27	0.26%	0.29%	0.21%	0.11%	0.16%	0.07%
28	0.26%	0.3%	0.22%	0.12%	0.16%	0.07%
29	0.27%	0.31%	0.23%	0.12%	0.17%	0.08%
30	0.29%	0.32%	0.24%	0.13%	0.17%	0.08%
31	0.29%	0.33%	0.25%	0.13%	0.18%	0.08%
32	0.31%	0.35%	0.27%	0.14%	0.19%	0.09%
33	0.33%	0.37%	0.28%	0.15%	0.2%	0.09%
34	0.34%	0.38%	0.29%	0.16%	0.22%	0.1%
35	0.36%	0.41%	0.31%	0.18%	0.25%	0.1%
36	0.38%	0.43%	0.33%	0.2%	0.28%	0.11%
37	0.4%	0.45%	0.34%	0.22%	0.3%	0.12%
38	0.43%	0.48%	0.37%	0.24%	0.33%	0.13%
39	0.45%	0.5%	0.39%	0.25%	0.35%	0.15%
40	0.49%	0.54%	0.41%	0.27%	0.36%	0.16%
41	0.51%	0.56%	0.43%	0.28%	0.38%	0.18%
42	0.55%	0.61%	0.46%	0.3%	0.39%	0.21%
43	0.57%	0.64%	0.48%	0.32%	0.42%	0.23%
44	0.61%	0.68%	0.51%	0.35%	0.45%	0.25%
45	0.65%	0.73%	0.54%	0.38%	0.49%	0.27%
46	0.69%	0.77%	0.57%	0.41%	0.54%	0.29%
47	0.74%	0.83%	0.61%	0.45%	0.59%	0.31%
48	0.79%	0.89%	0.65%	0.49%	0.65%	0.33%
49	0.85%	0.96%	0.7%	0.53%	0.72%	0.35%
50	0.93%	1.05%	0.76%	0.58%	0.78%	0.37%
51	0.98%	1.11%	0.81%	0.62%	0.84%	0.4%
52	1.07%	1.21%	0.88%	0.66%	0.9%	0.43%
53	1.14%	1.29%	0.94%	0.71%	0.96%	0.46%
54	1.22%	1.38%	1.01%	0.75%	1.01%	0.5%
55	1.3%	1.48%	1.08%	0.8%	1.06%	0.54%
56	1.4%	1.58%	1.17%	0.85%	1.12%	0.59%
57	1.5%	1.7%	1.25%	0.91%	1.19%	0.64%
58	1.62%	1.84%	1.37%	0.98%	1.28%	0.69%
59	1.75%	1.99%	1.48%	1.07%	1.39%	0.75%
60	1.94%	2.18%	1.65%	1.17%	1.53%	0.82%
61	2.07%	2.33%	1.77%	1.28%	1.69%	0.89%
62	2.28%	2.56%	1.97%	1.41%	1.86%	0.98%
63	2.48%	2.78%	2.15%	1.54%	2.04%	1.08%
64	2.69%	3.02%	2.35%	1.69%	2.23%	1.19%
65	2.94%	3.28%	2.58%	1.84%	2.41%	1.32%
66	3.17%	3.52%	2.8%	2%	2.59%	1.46%
67	3.45%	3.83%	3.08%	2.17%	2.77%	1.62%
68	3.78%	4.17%	3.4%	2.33%	2.94%	1.78%
69	4.11%	4.53%	3.72%	2.5%	3.11%	1.95%
70	4.57%	4.99%	4.18%	2.68%	3.29%	2.14%
71	4.91%	5.36%	4.51%	2.89%	3.51%	2.34%
72	5.46%	5.93%	5.04%	3.13%	3.77%	2.56%
73	5.95%	6.45%	5.52%	3.4%	4.1%	2.8%
74	6.52%	7.03%	6.07%	3.72%	4.5%	3.08%
75	7.14%	7.67%	6.67%	4.08%	4.95%	3.38%
76	7.78%	8.32%	7.29%	4.47%	5.44%	3.7%
77	8.44%	9.01%	7.93%	4.87%	5.94%	4.04%
78	9.26%	9.85%	8.74%	5.28%	6.44%	4.39%
79	10%	10.6%	9.49%	5.7%	6.94%	4.77%
80	11%	11.6%	10.5%	6.15%	7.46%	5.19%
81	11.7%	12.4%	11.2%	6.66%	8.02%	5.68%
82	12.9%	13.6%	12.4%	7.27%	8.66%	6.27%
83	14%	14.7%	13.5%	7.99%	9.42%	6.97%
84	15.3%	16%	14.8%	8.83%	10.3%	7.79%
85	16.5%	17.2%	16%	9.78%	11.3%	8.72%
86	17.8%	18.5%	17.3%	10.8%	12.4%	9.74%
87	19.1%	19.8%	18.6%	11.8%	13.4%	10.8%
88	20.5%	21.2%	20%	12.8%	14.5%	11.9%
89	21.9%	22.5%	21.4%	13.9%	15.6%	12.9%
90	23.5%	24.1%	23.2%	14.9%	16.6%	14%
91	24.8%	25.4%	24.4%	16%	17.7%	15.1%
92	26.6%	27.1%	26.2%	17.1%	18.8%	16.3%
93	28.2%	28.7%	27.9%	18.4%	20.1%	17.6%
94	29.9%	30.3%	29.7%	19.9%	21.5%	19.1%
95	31.8%	32.1%	31.6%	21.4%	22.9%	20.6%
96	33.4%	33.7%	33.3%	22.9%	24.3%	22.2%
97	35.1%	35.2%	35%	24.5%	25.8%	23.8%
98	36.6%	36.6%	36.6%	26.1%	27.3%	25.5%
99	38.5%	38.4%	38.6%	27.8%	28.8%	27.2%
100	40.1%	39.9%	40.2%	29.3%	30.2%	28.8%

Death rate by age in Equatorial Guinea compared to Mauritius

In Equatorial Guinea, the most common age of death is 0, compared to 85 in Mauritius. The median age of death is 71.2 in Equatorial Guinea and 78.9 in Mauritius — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Equatorial Guinea			Mauritius
	Total	Male	Female	Total	Male	Female
0	5,077	5,587	4,563	1,136	1,213	1,057
1	736	770	700	63.4	61.1	65.7
2	446	469	423	44	46.7	41.2
3	307	324	289.1	31.7	36.5	27
4	219.5	231.3	207.2	23.9	29.3	18.8
5	167.7	177.6	157.6	18.9	24.2	13.9
6	138.8	148.1	129.1	15.7	20.5	11.2
7	118.7	127.7	109.4	13.7	17.8	9.74
8	104.3	112.8	95.5	12.7	16.1	9.37
9	95	103.1	86.6	12.6	15.3	9.94
10	89.7	97.3	81.9	13.4	15.3	11.5
11	87.5	94.6	80.2	15.1	16.3	14
12	89	96.2	81.5	17.9	18.8	17.1
13	93.7	101.6	85.5	21.7	23.2	20.3
14	101.9	111.3	92.1	27.1	30.6	23.6
15	113	124.5	101.1	34.5	42.2	27.2
16	127.7	143.3	111.6	44.2	58	31
17	142.1	162.9	120.7	55.6	76.9	34.8
18	157.5	183.8	130.2	66.1	94.3	38.4
19	170	200.7	138.2	74.1	107.1	41.5
20	181.6	215.4	145.7	79.2	114.1	44.3
21	191.4	227.4	152.1	82.9	118.2	47.2
22	199.8	236.6	158.9	86.2	121.6	50.2
23	206.7	243	165.6	90	125.5	53.3
24	212.7	247.8	172.6	94.5	130.9	56.4
25	217.8	251.4	179.2	99.9	138.2	59.6
26	223.5	255.4	186.4	106	146.4	62.9
27	229.6	260.2	193.8	111.9	153.9	66.4
28	237.1	266.7	202.2	116.7	159.2	70.2
29	244.6	274	209.7	120.6	162.5	74.3
30	255.3	284.5	220.3	124.3	165.4	78.6
31	262.4	291.9	226.5	129.3	170.7	82.9
32	276.6	307	239.6	136.3	180	87.1
33	289.1	319	250.9	145.9	194.3	91.3
34	303	334	263.3	158.4	213.8	95.8
35	319	351	277.4	173.6	237.6	101.1
36	336	368	291.8	191.1	264.2	108.1
37	352	386	306	209.4	290.4	117.2
38	374	408	325	227	313	128.8
39	393	428	341	242.5	330	143
40	418	456	363	256.9	343	159.7
41	435	474	375	271.2	354	178.3
42	465	507	401	287.5	368	198.2
43	487	532	418	307	387	218.4
44	514	562	439	330	415	237.8
45	546	599	464	357	450	256.3
46	574	631	487	388	494	273.8
47	610	671	514	422	543	291.2
48	652	718	551	457	595	309
49	694	766	585	493	648	328
50	749	825	634	530	700	349
51	785	865	664	567	750	372
52	847	930	721	603	795	399
53	893	982	763	639	835	429
54	946	1,039	813	674	871	463
55	997	1,094	862	711	907	500
56	1,056	1,157	919	752	948	540
57	1,114	1,219	975	798	998	582
58	1,191	1,300	1,051	853	1,062	627
59	1,265	1,378	1,124	916	1,140	676
60	1,371	1,484	1,234	991	1,234	730
61	1,437	1,551	1,298	1,074	1,339	791
62	1,552	1,665	1,417	1,165	1,452	860
63	1,647	1,759	1,517	1,261	1,566	938
64	1,747	1,855	1,625	1,359	1,673	1,026
65	1,855	1,956	1,744	1,458	1,772	1,123
66	1,940	2,033	1,844	1,555	1,858	1,229
67	2,048	2,132	1,968	1,648	1,932	1,339
68	2,164	2,234	2,105	1,735	1,992	1,451
69	2,266	2,322	2,227	1,819	2,046	1,564
70	2,415	2,446	2,409	1,902	2,100	1,677
71	2,476	2,494	2,489	1,992	2,165	1,794
72	2,616	2,611	2,656	2,093	2,248	1,917
73	2,699	2,671	2,762	2,208	2,353	2,048
74	2,780	2,726	2,871	2,334	2,472	2,185
75	2,846	2,762	2,964	2,463	2,598	2,324
76	2,878	2,769	3,020	2,587	2,714	2,460
77	2,882	2,749	3,049	2,693	2,804	2,586
78	2,894	2,734	3,094	2,776	2,860	2,699
79	2,840	2,662	3,065	2,838	2,883	2,804
80	2,802	2,598	3,060	2,887	2,881	2,905
81	2,667	2,455	2,937	2,936	2,867	3,014
82	2,592	2,359	2,884	2,989	2,850	3,135
83	2,449	2,203	2,751	3,047	2,830	3,266
84	2,295	2,041	2,600	3,101	2,804	3,398
85	2,096	1,838	2,398	3,130	2,757	3,508
86	1,891	1,639	2,182	3,116	2,675	3,574
87	1,667	1,429	1,939	3,047	2,551	3,576
88	1,447	1,226	1,698	2,919	2,384	3,503
89	1,227	1,028	1,452	2,742	2,185	3,361
90	1,033	854	1,234	2,536	1,969	3,168
91	831	681	999	2,316	1,749	2,944
92	670	543	811	2,090	1,534	2,700
93	523	419	637	1,864	1,328	2,445
94	398	316	488	1,640	1,134	2,183
95	296.2	233	365	1,414	949	1,909
96	212.9	166.1	263.8	1,191	777	1,631
97	148.5	115.2	184.9	981	623	1,361
98	100.7	77.8	125.8	789	489	1,110
99	67.1	51.7	84.1	619	376	882
100	0	0	0	401	212.7	606

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Equatorial Guinea and Mauritius demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Equatorial Guinea vs Mauritius: Facts and Figures

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size