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

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 Morocco: 71 years vs 77.7 at 30, 78.3 vs 81.2 at 65, 85.8 vs 87 at 80 — significantly higher than the 64.3 vs 75.9 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 Morocco.

Table

Current age, years	Total life expectancy, years
	Equatorial Guinea			Morocco
	Average	Male	Female	Average	Male	Female
0	64.3	62.6	66.3	75.9	73.7	78.1
1	67.7	66.2	69.4	76.8	74.8	79
2	68.2	66.7	69.9	76.9	74.8	79.1
3	68.5	67	70.2	77	74.9	79.1
4	68.7	67.3	70.4	77	74.9	79.2
5	68.8	67.4	70.5	77	75	79.2
6	68.9	67.5	70.6	77.1	75	79.2
7	69	67.6	70.7	77.1	75	79.3
8	69.1	67.7	70.8	77.1	75	79.3
9	69.2	67.8	70.9	77.1	75	79.3
10	69.2	67.9	70.9	77.1	75.1	79.3
11	69.3	67.9	71	77.2	75.1	79.3
12	69.3	68	71	77.2	75.1	79.3
13	69.4	68	71.1	77.2	75.1	79.4
14	69.5	68.1	71.1	77.2	75.1	79.4
15	69.5	68.2	71.2	77.2	75.2	79.4
16	69.6	68.2	71.2	77.2	75.2	79.4
17	69.6	68.3	71.3	77.3	75.2	79.4
18	69.7	68.4	71.4	77.3	75.3	79.4
19	69.8	68.5	71.4	77.3	75.3	79.5
20	69.9	68.6	71.5	77.4	75.3	79.5
21	70	68.7	71.6	77.4	75.4	79.5
22	70.1	68.8	71.7	77.4	75.4	79.6
23	70.2	68.9	71.8	77.5	75.5	79.6
24	70.3	69.1	71.8	77.5	75.5	79.6
25	70.4	69.2	71.9	77.5	75.5	79.6
26	70.5	69.3	72	77.6	75.6	79.7
27	70.6	69.4	72.1	77.6	75.6	79.7
28	70.7	69.6	72.2	77.6	75.6	79.7
29	70.8	69.7	72.3	77.7	75.7	79.8
30	71	69.8	72.4	77.7	75.7	79.8
31	71.1	69.9	72.5	77.7	75.8	79.8
32	71.2	70.1	72.6	77.8	75.8	79.9
33	71.3	70.2	72.7	77.8	75.8	79.9
34	71.4	70.3	72.8	77.8	75.9	79.9
35	71.6	70.4	72.9	77.9	75.9	80
36	71.7	70.6	73	77.9	75.9	80
37	71.8	70.7	73.2	78	76	80
38	72	70.9	73.3	78	76	80.1
39	72.1	71	73.4	78.1	76.1	80.1
40	72.2	71.2	73.5	78.1	76.1	80.2
41	72.4	71.4	73.7	78.1	76.2	80.2
42	72.5	71.5	73.8	78.2	76.2	80.3
43	72.7	71.7	73.9	78.3	76.3	80.3
44	72.9	71.9	74.1	78.3	76.3	80.4
45	73.1	72.1	74.2	78.4	76.4	80.4
46	73.2	72.3	74.4	78.4	76.5	80.5
47	73.4	72.5	74.6	78.5	76.6	80.6
48	73.6	72.7	74.7	78.6	76.7	80.6
49	73.8	72.9	74.9	78.7	76.8	80.7
50	74	73.1	75.1	78.8	76.9	80.8
51	74.2	73.3	75.3	78.9	77	80.9
52	74.5	73.6	75.4	79	77.1	81
53	74.7	73.8	75.6	79.1	77.2	81.1
54	74.9	74.1	75.9	79.2	77.4	81.2
55	75.2	74.4	76.1	79.4	77.5	81.3
56	75.4	74.7	76.3	79.5	77.7	81.4
57	75.7	74.9	76.5	79.7	77.9	81.5
58	76	75.2	76.8	79.8	78.1	81.6
59	76.3	75.6	77	80	78.3	81.8
60	76.6	75.9	77.3	80.2	78.5	81.9
61	76.9	76.2	77.6	80.4	78.7	82
62	77.2	76.6	77.8	80.6	79	82.2
63	77.5	76.9	78.1	80.8	79.2	82.3
64	77.9	77.3	78.5	81	79.5	82.5
65	78.3	77.7	78.8	81.2	79.8	82.7
66	78.7	78.1	79.2	81.5	80.1	82.9
67	79	78.6	79.5	81.8	80.4	83.1
68	79.5	79	79.9	82.1	80.7	83.4
69	79.9	79.4	80.3	82.4	81.1	83.6
70	80.3	79.9	80.7	82.7	81.4	83.9
71	80.8	80.4	81.2	83	81.8	84.2
72	81.3	80.9	81.6	83.4	82.2	84.5
73	81.8	81.4	82.1	83.8	82.7	84.8
74	82.3	82	82.6	84.2	83.1	85.1
75	82.9	82.6	83.1	84.6	83.6	85.5
76	83.4	83.1	83.7	85	84.1	85.9
77	84	83.7	84.2	85.5	84.6	86.3
78	84.6	84.4	84.8	86	85.1	86.7
79	85.2	85	85.4	86.5	85.6	87.1
80	85.8	85.6	86	87	86.2	87.6
81	86.5	86.3	86.6	87.6	86.8	88.1
82	87.2	87	87.3	88.1	87.4	88.7
83	87.9	87.7	88	88.8	88	89.2
84	88.6	88.4	88.7	89.4	88.7	89.8
85	89.3	89.2	89.4	90	89.4	90.5
86	90	89.9	90.1	90.7	90.1	91.1
87	90.8	90.7	90.9	91.4	90.8	91.7
88	91.6	91.5	91.6	92.1	91.5	92.4
89	92.4	92.3	92.4	92.8	92.3	93.1
90	93.2	93.1	93.2	93.6	93.1	93.8
91	94	94	94	94.3	93.9	94.6
92	94.8	94.8	94.9	95.1	94.7	95.3
93	95.7	95.6	95.7	95.9	95.5	96.1
94	96.5	96.5	96.5	96.8	96.4	96.9
95	97.4	97.4	97.4	97.6	97.2	97.7
96	98.3	98.3	98.3	98.4	98.1	98.6
97	99.2	99.2	99.2	99.3	99	99.4
98	100.1	100.1	100.1	100.2	99.9	100.3
99	101	100.9	101	101.1	100.8	101.1
100	101.9	101.8	101.9	101.9	101.7	102

Odds of living to age in Equatorial Guinea vs Morocco

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 71.2% in Equatorial Guinea and 89.1% in Morocco are expected to survive till at least 60 years old, 53.1% and 75.8% will live to 70 years or older, 25.7% and 47.4% to 80+ years, and 4.44% and 12.2% 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			Morocco
	Average	Male	Female	Average	Male	Female
1	95%	94.5%	95.5%	98.7%	98.6%	98.9%
2	94.3%	93.8%	94.9%	98.6%	98.5%	98.8%
3	93.9%	93.3%	94.5%	98.6%	98.4%	98.7%
4	93.6%	93%	94.2%	98.5%	98.4%	98.7%
5	93.4%	92.7%	94%	98.5%	98.3%	98.6%
6	93.2%	92.6%	93.8%	98.4%	98.3%	98.6%
7	93%	92.4%	93.7%	98.4%	98.3%	98.6%
8	92.9%	92.3%	93.6%	98.4%	98.2%	98.5%
9	92.8%	92.2%	93.5%	98.3%	98.2%	98.5%
10	92.7%	92.1%	93.4%	98.3%	98.2%	98.5%
11	92.6%	92%	93.3%	98.3%	98.1%	98.5%
12	92.6%	91.9%	93.2%	98.3%	98.1%	98.4%
13	92.5%	91.8%	93.2%	98.2%	98.1%	98.4%
14	92.4%	91.7%	93.1%	98.2%	98.1%	98.4%
15	92.3%	91.6%	93%	98.2%	98%	98.4%
16	92.2%	91.5%	92.9%	98.2%	98%	98.3%
17	92%	91.3%	92.8%	98.1%	97.9%	98.3%
18	91.9%	91.2%	92.7%	98.1%	97.9%	98.3%
19	91.8%	91%	92.5%	98%	97.8%	98.2%
20	91.6%	90.8%	92.4%	98%	97.7%	98.2%
21	91.4%	90.6%	92.3%	97.9%	97.7%	98.2%
22	91.2%	90.3%	92.1%	97.8%	97.6%	98.1%
23	91%	90.1%	92%	97.8%	97.5%	98.1%
24	90.8%	89.9%	91.8%	97.7%	97.4%	98%
25	90.6%	89.6%	91.6%	97.6%	97.4%	98%
26	90.4%	89.4%	91.4%	97.6%	97.3%	97.9%
27	90.2%	89.1%	91.3%	97.5%	97.2%	97.8%
28	89.9%	88.9%	91.1%	97.5%	97.1%	97.8%
29	89.7%	88.6%	90.9%	97.4%	97.1%	97.7%
30	89.5%	88.3%	90.7%	97.3%	97%	97.7%
31	89.2%	88.1%	90.4%	97.2%	96.9%	97.6%
32	89%	87.8%	90.2%	97.2%	96.8%	97.5%
33	88.7%	87.5%	90%	97.1%	96.8%	97.5%
34	88.4%	87.2%	89.7%	97%	96.7%	97.4%
35	88.1%	86.8%	89.5%	96.9%	96.6%	97.3%
36	87.8%	86.5%	89.2%	96.8%	96.5%	97.2%
37	87.5%	86.1%	88.9%	96.7%	96.4%	97.1%
38	87.1%	85.7%	88.6%	96.6%	96.3%	97%
39	86.7%	85.3%	88.3%	96.5%	96.2%	96.9%
40	86.4%	84.9%	88%	96.4%	96%	96.8%
41	85.9%	84.4%	87.6%	96.3%	95.9%	96.7%
42	85.5%	84%	87.2%	96.2%	95.7%	96.6%
43	85.1%	83.5%	86.8%	96%	95.6%	96.5%
44	84.6%	82.9%	86.4%	95.8%	95.4%	96.3%
45	84.1%	82.4%	86%	95.7%	95.2%	96.2%
46	83.5%	81.8%	85.5%	95.5%	95%	96%
47	82.9%	81.2%	85.1%	95.2%	94.7%	95.8%
48	82.3%	80.5%	84.5%	95%	94.4%	95.6%
49	81.7%	79.8%	84%	94.7%	94.1%	95.4%
50	81%	79%	83.4%	94.4%	93.7%	95.1%
51	80.3%	78.2%	82.8%	94.1%	93.3%	94.9%
52	79.5%	77.3%	82.1%	93.7%	92.9%	94.6%
53	78.6%	76.4%	81.4%	93.3%	92.4%	94.3%
54	77.7%	75.4%	80.7%	92.9%	91.8%	93.9%
55	76.8%	74.4%	79.8%	92.4%	91.2%	93.5%
56	75.8%	73.3%	79%	91.8%	90.5%	93.1%
57	74.8%	72.2%	78.1%	91.2%	89.8%	92.7%
58	73.6%	70.9%	77.1%	90.6%	88.9%	92.2%
59	72.5%	69.6%	76.1%	89.8%	88%	91.7%
60	71.2%	68.3%	74.9%	89.1%	87%	91.1%
61	69.8%	66.8%	73.7%	88.2%	85.9%	90.5%
62	68.4%	65.2%	72.4%	87.3%	84.7%	89.9%
63	66.8%	63.6%	71%	86.3%	83.4%	89.1%
64	65.2%	61.8%	69.5%	85.1%	82%	88.3%
65	63.4%	60%	67.9%	83.9%	80.5%	87.4%
66	61.6%	58%	66.1%	82.6%	78.8%	86.4%
67	59.6%	56%	64.3%	81.1%	77%	85.3%
68	57.6%	53.8%	62.3%	79.5%	75.1%	84.1%
69	55.4%	51.6%	60.2%	77.7%	73%	82.7%
70	53.1%	49.3%	58%	75.8%	70.7%	81.1%
71	50.7%	46.8%	55.6%	73.7%	68.3%	79.4%
72	48.2%	44.3%	53.1%	71.5%	65.7%	77.6%
73	45.6%	41.7%	50.4%	69%	62.9%	75.5%
74	42.9%	39%	47.6%	66.4%	60%	73.3%
75	40.1%	36.3%	44.7%	63.7%	56.9%	70.9%
76	37.3%	33.5%	41.8%	60.7%	53.7%	68.3%
77	34.4%	30.7%	38.7%	57.6%	50.3%	65.5%
78	31.5%	28%	35.7%	54.3%	46.9%	62.4%
79	28.6%	25.2%	32.6%	50.9%	43.3%	59.2%
80	25.7%	22.6%	29.5%	47.4%	39.7%	55.7%
81	22.9%	19.9%	26.4%	43.7%	36%	52%
82	20.2%	17.5%	23.5%	39.9%	32.2%	48.1%
83	17.6%	15.1%	20.6%	36%	28.5%	44%
84	15.2%	12.9%	17.8%	32.2%	24.9%	39.9%
85	12.8%	10.8%	15.2%	28.4%	21.4%	35.8%
86	10.7%	8.96%	12.7%	24.8%	18.2%	31.7%
87	8.83%	7.31%	10.5%	21.3%	15.1%	27.7%
88	7.14%	5.86%	8.58%	18%	12.3%	23.9%
89	5.68%	4.62%	6.87%	14.9%	9.83%	20.3%
90	4.44%	3.58%	5.4%	12.2%	7.68%	16.9%
91	3.4%	2.72%	4.15%	9.74%	5.86%	13.9%
92	2.56%	2.03%	3.14%	7.63%	4.36%	11.1%
93	1.88%	1.48%	2.32%	5.84%	3.16%	8.72%
94	1.35%	1.06%	1.67%	4.37%	2.23%	6.69%
95	0.95%	0.74%	1.18%	3.19%	1.53%	5.01%
96	0.65%	0.5%	0.81%	2.27%	1.02%	3.65%
97	0.43%	0.33%	0.54%	1.57%	0.65%	2.59%
98	0.28%	0.22%	0.35%	1.06%	0.41%	1.79%
99	0.18%	0.14%	0.22%	0.69%	0.25%	1.2%
100	0.11%	0.08%	0.14%	0.44%	0.14%	0.78%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 1.28% in Morocco, 0.28% vs 0.07% at age 30, 1.92% vs 0.96% at 60, and 11% vs 7.79% at 80.

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

Table

Age	Probability of dying
	Equatorial Guinea			Morocco
	Average	Male	Female	Average	Male	Female
0	4.97%	5.49%	4.45%	1.28%	1.44%	1.12%
1	0.76%	0.8%	0.72%	0.08%	0.07%	0.09%
2	0.46%	0.49%	0.44%	0.06%	0.06%	0.07%
3	0.32%	0.34%	0.3%	0.05%	0.05%	0.05%
4	0.23%	0.25%	0.22%	0.05%	0.05%	0.04%
5	0.18%	0.19%	0.16%	0.04%	0.04%	0.04%
6	0.15%	0.16%	0.13%	0.03%	0.04%	0.03%
7	0.13%	0.14%	0.11%	0.03%	0.03%	0.03%
8	0.11%	0.12%	0.1%	0.03%	0.03%	0.03%
9	0.1%	0.11%	0.09%	0.03%	0.03%	0.02%
10	0.1%	0.1%	0.09%	0.03%	0.03%	0.02%
11	0.09%	0.1%	0.08%	0.03%	0.03%	0.02%
12	0.09%	0.1%	0.09%	0.03%	0.03%	0.02%
13	0.1%	0.11%	0.09%	0.03%	0.03%	0.02%
14	0.11%	0.12%	0.1%	0.03%	0.04%	0.03%
15	0.12%	0.13%	0.11%	0.04%	0.04%	0.03%
16	0.14%	0.15%	0.12%	0.04%	0.05%	0.03%
17	0.15%	0.18%	0.13%	0.05%	0.06%	0.04%
18	0.17%	0.2%	0.14%	0.05%	0.06%	0.04%
19	0.18%	0.22%	0.15%	0.06%	0.07%	0.04%
20	0.19%	0.23%	0.15%	0.06%	0.08%	0.04%
21	0.21%	0.25%	0.16%	0.06%	0.08%	0.05%
22	0.22%	0.26%	0.17%	0.06%	0.08%	0.05%
23	0.22%	0.27%	0.18%	0.07%	0.08%	0.05%
24	0.23%	0.27%	0.18%	0.07%	0.08%	0.05%
25	0.24%	0.28%	0.19%	0.07%	0.08%	0.06%
26	0.24%	0.28%	0.2%	0.07%	0.08%	0.06%
27	0.25%	0.29%	0.21%	0.07%	0.08%	0.06%
28	0.26%	0.3%	0.22%	0.07%	0.08%	0.06%
29	0.27%	0.31%	0.23%	0.07%	0.08%	0.06%
30	0.28%	0.32%	0.24%	0.07%	0.08%	0.07%
31	0.29%	0.33%	0.25%	0.08%	0.08%	0.07%
32	0.31%	0.35%	0.26%	0.08%	0.08%	0.07%
33	0.32%	0.36%	0.27%	0.08%	0.09%	0.08%
34	0.34%	0.38%	0.29%	0.09%	0.09%	0.08%
35	0.36%	0.4%	0.31%	0.09%	0.1%	0.09%
36	0.38%	0.42%	0.32%	0.1%	0.1%	0.09%
37	0.4%	0.44%	0.34%	0.1%	0.11%	0.1%
38	0.42%	0.47%	0.36%	0.11%	0.12%	0.1%
39	0.45%	0.5%	0.38%	0.12%	0.13%	0.11%
40	0.48%	0.53%	0.41%	0.13%	0.14%	0.12%
41	0.5%	0.56%	0.42%	0.14%	0.16%	0.13%
42	0.54%	0.6%	0.45%	0.16%	0.17%	0.14%
43	0.57%	0.63%	0.48%	0.17%	0.19%	0.15%
44	0.6%	0.67%	0.5%	0.19%	0.22%	0.16%
45	0.64%	0.72%	0.53%	0.21%	0.24%	0.18%
46	0.68%	0.77%	0.56%	0.24%	0.28%	0.2%
47	0.73%	0.82%	0.6%	0.26%	0.31%	0.22%
48	0.79%	0.89%	0.65%	0.29%	0.35%	0.24%
49	0.84%	0.95%	0.69%	0.32%	0.38%	0.26%
50	0.92%	1.04%	0.75%	0.35%	0.43%	0.28%
51	0.97%	1.1%	0.8%	0.39%	0.47%	0.3%
52	1.06%	1.2%	0.87%	0.43%	0.53%	0.33%
53	1.13%	1.28%	0.93%	0.47%	0.59%	0.36%
54	1.21%	1.37%	1%	0.53%	0.66%	0.39%
55	1.3%	1.47%	1.07%	0.59%	0.75%	0.43%
56	1.39%	1.57%	1.16%	0.65%	0.84%	0.47%
57	1.49%	1.69%	1.24%	0.72%	0.94%	0.51%
58	1.62%	1.83%	1.36%	0.8%	1.04%	0.56%
59	1.74%	1.97%	1.47%	0.88%	1.15%	0.62%
60	1.92%	2.17%	1.64%	0.96%	1.27%	0.67%
61	2.06%	2.32%	1.76%	1.06%	1.39%	0.74%
62	2.27%	2.55%	1.95%	1.16%	1.53%	0.82%
63	2.46%	2.77%	2.13%	1.29%	1.68%	0.91%
64	2.68%	3%	2.34%	1.43%	1.86%	1.02%
65	2.93%	3.26%	2.57%	1.59%	2.06%	1.15%
66	3.15%	3.51%	2.79%	1.78%	2.28%	1.29%
67	3.44%	3.81%	3.06%	1.99%	2.53%	1.46%
68	3.77%	4.15%	3.38%	2.22%	2.81%	1.65%
69	4.1%	4.51%	3.7%	2.48%	3.12%	1.86%
70	4.55%	4.97%	4.16%	2.76%	3.45%	2.09%
71	4.89%	5.34%	4.49%	3.07%	3.81%	2.34%
72	5.43%	5.91%	5.02%	3.4%	4.21%	2.62%
73	5.93%	6.43%	5.49%	3.77%	4.64%	2.94%
74	6.49%	7.01%	6.04%	4.16%	5.12%	3.28%
75	7.11%	7.64%	6.65%	4.61%	5.64%	3.68%
76	7.74%	8.3%	7.26%	5.11%	6.23%	4.13%
77	8.41%	8.99%	7.9%	5.68%	6.88%	4.65%
78	9.23%	9.82%	8.71%	6.31%	7.62%	5.24%
79	9.99%	10.6%	9.46%	7%	8.43%	5.92%
80	11%	11.6%	10.4%	7.79%	9.34%	6.67%
81	11.7%	12.4%	11.2%	8.67%	10.4%	7.5%
82	12.9%	13.6%	12.4%	9.63%	11.5%	8.39%
83	14%	14.7%	13.5%	10.6%	12.7%	9.34%
84	15.2%	16%	14.7%	11.7%	14%	10.3%
85	16.4%	17.1%	16%	12.9%	15.4%	11.4%
86	17.8%	18.5%	17.3%	14.1%	16.9%	12.5%
87	19.1%	19.7%	18.6%	15.5%	18.4%	13.8%
88	20.5%	21.1%	20%	16.9%	20.1%	15.1%
89	21.8%	22.5%	21.4%	18.4%	21.9%	16.6%
90	23.5%	24.1%	23.1%	20%	23.7%	18.1%
91	24.7%	25.3%	24.4%	21.7%	25.6%	19.8%
92	26.5%	27.1%	26.2%	23.4%	27.5%	21.5%
93	28.2%	28.6%	27.9%	25.2%	29.5%	23.3%
94	29.9%	30.3%	29.6%	27%	31.5%	25.2%
95	31.7%	32%	31.5%	28.8%	33.5%	27%
96	33.4%	33.6%	33.3%	30.7%	35.5%	29%
97	35%	35.2%	34.9%	32.6%	37.6%	31%
98	36.6%	36.6%	36.6%	34.6%	39.6%	33%
99	38.5%	38.4%	38.5%	36.5%	41.6%	35%
100	40%	39.9%	40.2%	38.4%	43.7%	37%

Death rate by age in Equatorial Guinea compared to Morocco

In Equatorial Guinea, the most common age of death is 0, compared to 82 in Morocco. The median age of death is 71.3 in Equatorial Guinea and 79.3 in Morocco — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Equatorial Guinea			Morocco
	Total	Male	Female	Total	Male	Female
0	4,972	5,488	4,450	1,282	1,435	1,121
1	721	757	684	78.7	70.8	86.9
2	438	462	414	62.7	59.6	65.9
3	302	320	283.2	52.3	52.3	52.3
4	216.1	228.6	203.1	44.6	46.5	42.6
5	165.2	175.6	154.5	38.6	41.5	35.6
6	136.7	146.4	126.6	33.9	37.1	30.5
7	116.8	126.1	107.2	30.3	33.5	27
8	102.6	111.3	93.6	27.7	30.5	24.7
9	93.4	101.8	84.8	25.9	28.5	23.1
10	88.2	95.9	80.2	24.9	27.3	22.3
11	86	93.2	78.5	24.8	27.2	22.3
12	87.4	94.8	79.8	25.7	28.4	22.9
13	92	100.1	83.7	27.7	31	24.3
14	100.1	109.7	90.2	30.8	35.1	26.3
15	111	122.7	99	35.1	40.9	28.9
16	125.5	141.2	109.3	40.3	48	32
17	139.7	160.6	118.1	45.9	55.9	35.3
18	154.8	181.3	127.5	51.4	63.6	38.5
19	167.2	197.9	135.3	56	69.8	41.4
20	178.3	212.5	142.7	59.4	74.1	44
21	187.9	224.3	149	61.6	76.3	46.2
22	196.5	233.5	155.8	62.9	76.9	48.2
23	203.3	239.9	162.3	63.6	76.4	50.1
24	209.3	244.6	169.2	64.1	75.4	52.1
25	214.4	248.1	175.8	64.5	74.3	54.1
26	220.1	252.2	182.9	65.1	73.5	56.1
27	226.2	257	190.2	65.9	73.2	58.2
28	233.5	263.4	198.5	67.2	73.6	60.4
29	241	270.6	205.9	68.8	74.7	62.7
30	251.6	281.1	216.4	71	76.5	65.2
31	258.6	288.5	222.6	73.6	79	67.9
32	272.6	303	235.5	76.7	82	71
33	284.9	316	246.7	80.2	85.7	74.5
34	298.6	330	259	84.4	89.9	78.6
35	315	347	273	89.1	94.8	83.2
36	331	364	287.2	94.5	100.5	88.2
37	348	382	301	100.6	107.2	93.7
38	369	404	320	107.6	115.1	99.8
39	388	424	336	115.6	124.6	106.4
40	414	452	358	125	135.9	114
41	430	470	371	136.2	149.5	122.6
42	461	503	397	149.3	165.7	132.7
43	482	527	413	164.9	184.9	144.5
44	509	558	434	183	207.4	158.2
45	542	595	460	203.5	233.1	173.5
46	570	627	482	226.3	261.7	190.4
47	605	667	510	250.8	292.7	208.2
48	648	714	546	276.5	326	226.9
49	690	761	580	304	361	246.1
50	745	821	629	333	400	266.3
51	782	861	660	365	442	287.9
52	843	926	717	401	490	312
53	890	978	758	443	546	338
54	944	1,036	809	490	609	368
55	995	1,091	858	542	680	401
56	1,054	1,154	915	600	759	438
57	1,112	1,216	971	661	841	477
58	1,189	1,297	1,047	723	926	519
59	1,264	1,375	1,120	788	1,013	565
60	1,370	1,481	1,230	856	1,102	614
61	1,435	1,549	1,296	932	1,194	671
62	1,551	1,664	1,415	1,015	1,294	735
63	1,647	1,758	1,515	1,109	1,403	811
64	1,748	1,855	1,624	1,215	1,524	900
65	1,856	1,957	1,743	1,336	1,656	1,001
66	1,942	2,034	1,844	1,471	1,800	1,117
67	2,052	2,134	1,968	1,615	1,952	1,246
68	2,168	2,237	2,107	1,768	2,111	1,385
69	2,271	2,326	2,229	1,929	2,274	1,535
70	2,420	2,451	2,412	2,094	2,439	1,694
71	2,482	2,500	2,494	2,264	2,603	1,861
72	2,622	2,618	2,661	2,433	2,764	2,035
73	2,705	2,680	2,769	2,600	2,920	2,217
74	2,787	2,735	2,879	2,766	3,070	2,408
75	2,854	2,773	2,974	2,935	3,212	2,608
76	2,887	2,781	3,032	3,106	3,345	2,821
77	2,893	2,762	3,062	3,272	3,466	3,044
78	2,908	2,748	3,108	3,427	3,570	3,274
79	2,857	2,677	3,081	3,565	3,653	3,502
80	2,820	2,614	3,078	3,689	3,706	3,714
81	2,685	2,471	2,956	3,787	3,721	3,897
82	2,609	2,375	2,904	3,839	3,692	4,033
83	2,466	2,220	2,772	3,833	3,613	4,112
84	2,311	2,057	2,621	3,773	3,480	4,128
85	2,111	1,853	2,419	3,665	3,294	4,082
86	1,906	1,654	2,202	3,504	3,060	3,978
87	1,682	1,443	1,958	3,291	2,784	3,820
88	1,461	1,239	1,716	3,037	2,477	3,614
89	1,240	1,040	1,468	2,751	2,151	3,362
90	1,044	863	1,249	2,441	1,821	3,069
91	841	690	1,012	2,115	1,500	2,742
92	678	550	822	1,787	1,200	2,392
93	529	425	646	1,472	932	2,034
94	404	320	496	1,180	702	1,683
95	300	236.2	371	920	511	1,354
96	216	168.5	268.1	697	361	1,059
97	150.8	116.9	188	513	246	803
98	102.3	78.9	128	366	161.9	590
99	68.2	52.5	85.6	252.8	102.7	420
100	0	0	0	50.1	0	144.3

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 Morocco 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 Morocco: Facts and Figures

By topic vs comparisons:

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