Life Expectancy in Equatorial Guinea vs Germany (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 Germany: 70.9 years vs 82.3 at 30, 78.2 vs 85.1 at 65, 85.8 vs 89.2 at 80 — significantly higher than the 64.1 vs 81.7 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 Germany.

Table

Current age, years	Total life expectancy, years
	Equatorial Guinea			Germany
	Average	Male	Female	Average	Male	Female
0	64.1	62.4	66.1	81.7	79.4	84
1	67.5	66.1	69.3	81.9	79.7	84.2
2	68	66.6	69.8	82	79.7	84.2
3	68.3	66.9	70.1	82	79.7	84.2
4	68.6	67.2	70.3	82	79.7	84.3
5	68.7	67.3	70.4	82	79.7	84.3
6	68.8	67.4	70.5	82	79.7	84.3
7	68.9	67.5	70.6	82	79.7	84.3
8	69	67.6	70.7	82	79.7	84.3
9	69.1	67.7	70.7	82	79.7	84.3
10	69.1	67.7	70.8	82	79.7	84.3
11	69.2	67.8	70.8	82	79.7	84.3
12	69.2	67.9	70.9	82	79.7	84.3
13	69.3	67.9	71	82	79.7	84.3
14	69.3	68	71	82	79.7	84.3
15	69.4	68.1	71.1	82	79.7	84.3
16	69.5	68.1	71.1	82	79.8	84.3
17	69.5	68.2	71.2	82	79.8	84.3
18	69.6	68.3	71.3	82.1	79.8	84.3
19	69.7	68.4	71.3	82.1	79.8	84.3
20	69.8	68.5	71.4	82.1	79.8	84.4
21	69.9	68.6	71.5	82.1	79.9	84.4
22	70	68.7	71.6	82.1	79.9	84.4
23	70.1	68.9	71.7	82.1	79.9	84.4
24	70.2	69	71.7	82.2	79.9	84.4
25	70.3	69.1	71.8	82.2	79.9	84.4
26	70.4	69.2	71.9	82.2	80	84.4
27	70.5	69.4	72	82.2	80	84.4
28	70.7	69.5	72.1	82.2	80	84.4
29	70.8	69.6	72.2	82.2	80	84.4
30	70.9	69.7	72.3	82.3	80	84.5
31	71	69.8	72.4	82.3	80.1	84.5
32	71.1	70	72.5	82.3	80.1	84.5
33	71.2	70.1	72.6	82.3	80.1	84.5
34	71.4	70.2	72.7	82.3	80.2	84.5
35	71.5	70.4	72.8	82.4	80.2	84.5
36	71.6	70.5	73	82.4	80.2	84.6
37	71.8	70.7	73.1	82.4	80.3	84.6
38	71.9	70.8	73.2	82.5	80.3	84.6
39	72	71	73.3	82.5	80.3	84.6
40	72.2	71.1	73.5	82.5	80.4	84.6
41	72.3	71.3	73.6	82.6	80.4	84.7
42	72.5	71.5	73.7	82.6	80.5	84.7
43	72.7	71.6	73.9	82.6	80.5	84.7
44	72.8	71.8	74	82.7	80.6	84.8
45	73	72	74.2	82.7	80.6	84.8
46	73.2	72.2	74.3	82.8	80.7	84.8
47	73.4	72.4	74.5	82.8	80.8	84.9
48	73.6	72.6	74.7	82.9	80.8	84.9
49	73.8	72.8	74.8	83	80.9	85
50	74	73.1	75	83	81	85
51	74.2	73.3	75.2	83.1	81.1	85.1
52	74.4	73.5	75.4	83.2	81.2	85.2
53	74.6	73.8	75.6	83.3	81.3	85.2
54	74.9	74.1	75.8	83.4	81.4	85.3
55	75.1	74.3	76	83.5	81.6	85.4
56	75.4	74.6	76.2	83.6	81.7	85.5
57	75.7	74.9	76.5	83.7	81.8	85.6
58	75.9	75.2	76.7	83.9	82	85.7
59	76.2	75.5	77	84	82.2	85.8
60	76.5	75.9	77.2	84.2	82.4	85.9
61	76.9	76.2	77.5	84.4	82.6	86
62	77.2	76.5	77.8	84.5	82.8	86.2
63	77.5	76.9	78.1	84.7	83	86.3
64	77.9	77.3	78.4	84.9	83.3	86.4
65	78.2	77.7	78.8	85.1	83.5	86.6
66	78.6	78.1	79.1	85.3	83.8	86.7
67	79	78.5	79.5	85.5	84	86.9
68	79.4	79	79.9	85.8	84.3	87.1
69	79.9	79.4	80.3	86	84.6	87.3
70	80.3	79.9	80.7	86.2	84.9	87.4
71	80.8	80.4	81.1	86.5	85.2	87.6
72	81.3	80.9	81.6	86.8	85.5	87.8
73	81.8	81.4	82.1	87	85.8	88.1
74	82.3	82	82.6	87.3	86.1	88.3
75	82.8	82.5	83.1	87.6	86.5	88.5
76	83.4	83.1	83.6	87.9	86.8	88.7
77	84	83.7	84.2	88.2	87.2	89
78	84.6	84.3	84.8	88.5	87.6	89.2
79	85.2	85	85.4	88.8	87.9	89.5
80	85.8	85.6	86	89.2	88.3	89.8
81	86.5	86.3	86.6	89.5	88.8	90.1
82	87.2	87	87.3	89.9	89.2	90.5
83	87.8	87.7	88	90.4	89.7	90.8
84	88.6	88.4	88.7	90.8	90.2	91.2
85	89.3	89.2	89.4	91.3	90.7	91.7
86	90	89.9	90.1	91.8	91.3	92.2
87	90.8	90.7	90.9	92.4	91.9	92.7
88	91.6	91.5	91.6	92.9	92.5	93.2
89	92.4	92.3	92.4	93.6	93.2	93.8
90	93.2	93.1	93.2	94.2	93.8	94.4
91	94	94	94	94.8	94.5	95
92	94.8	94.8	94.9	95.5	95.2	95.7
93	95.7	95.6	95.7	96.3	96	96.4
94	96.5	96.5	96.5	97	96.8	97.1
95	97.4	97.4	97.4	97.8	97.6	97.8
96	98.3	98.3	98.3	98.6	98.4	98.6
97	99.2	99.2	99.2	99.4	99.2	99.4
98	100.1	100	100.1	100.2	100.1	100.2
99	101	100.9	101	101	100.9	101.1
100	101.9	101.8	101.9	101.9	101.8	101.9

Odds of living to age in Equatorial Guinea vs Germany

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 70.9% in Equatorial Guinea and 93.3% in Germany are expected to survive till at least 60 years old, 52.8% and 84% will live to 70 years or older, 25.5% and 66% to 80+ years, and 4.39% and 28.2% 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			Germany
	Average	Male	Female	Average	Male	Female
1	94.9%	94.4%	95.4%	99.7%	99.7%	99.7%
2	94.2%	93.6%	94.7%	99.7%	99.7%	99.7%
3	93.7%	93.2%	94.3%	99.7%	99.7%	99.7%
4	93.4%	92.8%	94%	99.7%	99.7%	99.7%
5	93.2%	92.6%	93.8%	99.7%	99.6%	99.7%
6	93%	92.4%	93.7%	99.7%	99.6%	99.7%
7	92.9%	92.3%	93.5%	99.7%	99.6%	99.7%
8	92.8%	92.2%	93.4%	99.7%	99.6%	99.7%
9	92.7%	92.1%	93.3%	99.6%	99.6%	99.7%
10	92.6%	91.9%	93.2%	99.6%	99.6%	99.7%
11	92.5%	91.9%	93.2%	99.6%	99.6%	99.7%
12	92.4%	91.8%	93.1%	99.6%	99.6%	99.7%
13	92.3%	91.7%	93%	99.6%	99.6%	99.7%
14	92.2%	91.6%	92.9%	99.6%	99.6%	99.6%
15	92.1%	91.4%	92.8%	99.6%	99.6%	99.6%
16	92%	91.3%	92.7%	99.6%	99.6%	99.6%
17	91.9%	91.2%	92.6%	99.6%	99.5%	99.6%
18	91.7%	91%	92.5%	99.6%	99.5%	99.6%
19	91.6%	90.8%	92.4%	99.5%	99.5%	99.6%
20	91.4%	90.6%	92.2%	99.5%	99.4%	99.6%
21	91.2%	90.4%	92.1%	99.5%	99.4%	99.6%
22	91%	90.2%	91.9%	99.5%	99.4%	99.5%
23	90.8%	90%	91.8%	99.4%	99.3%	99.5%
24	90.6%	89.7%	91.6%	99.4%	99.3%	99.5%
25	90.4%	89.5%	91.4%	99.4%	99.3%	99.5%
26	90.2%	89.2%	91.2%	99.3%	99.2%	99.5%
27	90%	89%	91.1%	99.3%	99.2%	99.5%
28	89.8%	88.7%	90.9%	99.3%	99.1%	99.4%
29	89.5%	88.4%	90.7%	99.2%	99.1%	99.4%
30	89.3%	88.2%	90.5%	99.2%	99%	99.4%
31	89%	87.9%	90.2%	99.2%	99%	99.4%
32	88.8%	87.6%	90%	99.1%	98.9%	99.3%
33	88.5%	87.3%	89.8%	99.1%	98.9%	99.3%
34	88.2%	87%	89.5%	99%	98.8%	99.3%
35	87.9%	86.6%	89.3%	99%	98.8%	99.2%
36	87.6%	86.3%	89%	98.9%	98.7%	99.2%
37	87.2%	85.9%	88.7%	98.9%	98.6%	99.2%
38	86.9%	85.5%	88.4%	98.8%	98.5%	99.1%
39	86.5%	85.1%	88.1%	98.7%	98.4%	99.1%
40	86.1%	84.7%	87.7%	98.7%	98.3%	99%
41	85.7%	84.2%	87.3%	98.6%	98.2%	98.9%
42	85.3%	83.7%	87%	98.5%	98.1%	98.9%
43	84.8%	83.2%	86.6%	98.4%	98%	98.8%
44	84.3%	82.7%	86.2%	98.3%	97.8%	98.7%
45	83.8%	82.1%	85.7%	98.1%	97.7%	98.6%
46	83.2%	81.5%	85.2%	98%	97.5%	98.5%
47	82.7%	80.9%	84.8%	97.9%	97.3%	98.4%
48	82.1%	80.2%	84.2%	97.7%	97.1%	98.3%
49	81.4%	79.5%	83.7%	97.5%	96.9%	98.2%
50	80.7%	78.8%	83.1%	97.3%	96.6%	98%
51	80%	77.9%	82.5%	97.1%	96.3%	97.8%
52	79.2%	77.1%	81.8%	96.8%	96%	97.7%
53	78.3%	76.1%	81.1%	96.5%	95.6%	97.4%
54	77.4%	75.2%	80.3%	96.2%	95.2%	97.2%
55	76.5%	74.1%	79.5%	95.8%	94.7%	96.9%
56	75.5%	73%	78.7%	95.4%	94.2%	96.7%
57	74.4%	71.9%	77.7%	95%	93.6%	96.3%
58	73.3%	70.6%	76.8%	94.5%	93%	96%
59	72.1%	69.3%	75.7%	93.9%	92.3%	95.6%
60	70.9%	68%	74.6%	93.3%	91.5%	95.2%
61	69.5%	66.5%	73.4%	92.7%	90.7%	94.7%
62	68.1%	64.9%	72.1%	92%	89.8%	94.2%
63	66.5%	63.3%	70.6%	91.2%	88.8%	93.7%
64	64.9%	61.5%	69.1%	90.4%	87.7%	93.1%
65	63.1%	59.7%	67.5%	89.5%	86.6%	92.5%
66	61.3%	57.7%	65.8%	88.5%	85.4%	91.8%
67	59.3%	55.7%	63.9%	87.5%	84.1%	91%
68	57.3%	53.5%	61.9%	86.4%	82.7%	90.3%
69	55.1%	51.3%	59.8%	85.3%	81.2%	89.4%
70	52.8%	49%	57.6%	84%	79.7%	88.5%
71	50.4%	46.5%	55.2%	82.7%	78.1%	87.5%
72	48%	44%	52.7%	81.3%	76.3%	86.4%
73	45.3%	41.4%	50.1%	79.8%	74.5%	85.2%
74	42.6%	38.8%	47.3%	78.2%	72.6%	83.9%
75	39.9%	36%	44.4%	76.5%	70.5%	82.6%
76	37%	33.3%	41.5%	74.7%	68.4%	81.1%
77	34.1%	30.5%	38.4%	72.8%	66.1%	79.6%
78	31.3%	27.8%	35.4%	70.7%	63.7%	77.8%
79	28.4%	25%	32.3%	68.5%	61.1%	75.9%
80	25.5%	22.4%	29.2%	66%	58.3%	73.7%
81	22.7%	19.8%	26.2%	63.2%	55.3%	71.3%
82	20.1%	17.3%	23.2%	60.2%	52%	68.5%
83	17.5%	14.9%	20.3%	57%	48.6%	65.4%
84	15%	12.7%	17.6%	53.5%	44.9%	62%
85	12.7%	10.7%	15%	49.7%	41.1%	58.2%
86	10.6%	8.86%	12.6%	45.6%	37.1%	54.1%
87	8.73%	7.22%	10.4%	41.4%	33%	49.7%
88	7.06%	5.79%	8.48%	37%	29%	45%
89	5.62%	4.57%	6.78%	32.6%	24.9%	40.1%
90	4.39%	3.54%	5.33%	28.2%	21.1%	35.1%
91	3.36%	2.69%	4.09%	23.9%	17.4%	30.2%
92	2.52%	2.01%	3.09%	19.8%	14.1%	25.3%
93	1.85%	1.46%	2.28%	16%	11%	20.8%
94	1.33%	1.04%	1.65%	12.6%	8.42%	16.6%
95	0.93%	0.73%	1.16%	9.64%	6.23%	12.9%
96	0.64%	0.49%	0.79%	7.16%	4.46%	9.71%
97	0.42%	0.33%	0.53%	5.14%	3.09%	7.05%
98	0.28%	0.21%	0.34%	3.56%	2.07%	4.93%
99	0.17%	0.13%	0.22%	2.37%	1.33%	3.32%
100	0.11%	0.08%	0.13%	1.52%	0.83%	2.15%

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 0.27% in Germany, 0.29% vs 0.04% at age 30, 1.94% vs 0.7% at 60, and 11% vs 4.14% at 80.

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

Table

Age	Probability of dying
	Equatorial Guinea			Germany
	Average	Male	Female	Average	Male	Female
0	5.08%	5.59%	4.56%	0.27%	0.29%	0.25%
1	0.77%	0.82%	0.73%	0.03%	0.03%	0.03%
2	0.47%	0.5%	0.45%	0.01%	0.01%	0.009%
3	0.33%	0.35%	0.31%	0.009%	0.01%	0.008%
4	0.23%	0.25%	0.22%	0.009%	0.009%	0.008%
5	0.18%	0.19%	0.17%	0.008%	0.008%	0.007%
6	0.15%	0.16%	0.14%	0.007%	0.008%	0.006%
7	0.13%	0.14%	0.12%	0.006%	0.007%	0.005%
8	0.11%	0.12%	0.1%	0.006%	0.007%	0.005%
9	0.1%	0.11%	0.09%	0.006%	0.006%	0.005%
10	0.1%	0.11%	0.09%	0.006%	0.006%	0.005%
11	0.09%	0.1%	0.09%	0.006%	0.006%	0.006%
12	0.1%	0.1%	0.09%	0.007%	0.007%	0.007%
13	0.1%	0.11%	0.09%	0.008%	0.008%	0.008%
14	0.11%	0.12%	0.1%	0.01%	0.01%	0.009%
15	0.12%	0.14%	0.11%	0.01%	0.01%	0.01%
16	0.14%	0.16%	0.12%	0.02%	0.02%	0.01%
17	0.15%	0.18%	0.13%	0.02%	0.03%	0.01%
18	0.17%	0.2%	0.14%	0.02%	0.03%	0.01%
19	0.19%	0.22%	0.15%	0.03%	0.04%	0.02%
20	0.2%	0.24%	0.16%	0.03%	0.04%	0.02%
21	0.21%	0.25%	0.17%	0.03%	0.04%	0.01%
22	0.22%	0.26%	0.17%	0.03%	0.04%	0.01%
23	0.23%	0.27%	0.18%	0.03%	0.04%	0.02%
24	0.23%	0.28%	0.19%	0.03%	0.04%	0.02%
25	0.24%	0.28%	0.2%	0.03%	0.04%	0.02%
26	0.25%	0.29%	0.2%	0.03%	0.04%	0.02%
27	0.26%	0.29%	0.21%	0.03%	0.04%	0.02%
28	0.26%	0.3%	0.22%	0.03%	0.04%	0.02%
29	0.27%	0.31%	0.23%	0.04%	0.05%	0.02%
30	0.29%	0.32%	0.24%	0.04%	0.05%	0.03%
31	0.29%	0.33%	0.25%	0.04%	0.06%	0.03%
32	0.31%	0.35%	0.27%	0.05%	0.06%	0.03%
33	0.33%	0.37%	0.28%	0.05%	0.06%	0.03%
34	0.34%	0.38%	0.29%	0.05%	0.07%	0.04%
35	0.36%	0.41%	0.31%	0.06%	0.07%	0.04%
36	0.38%	0.43%	0.33%	0.06%	0.08%	0.04%
37	0.4%	0.45%	0.34%	0.07%	0.09%	0.05%
38	0.43%	0.48%	0.37%	0.07%	0.09%	0.05%
39	0.45%	0.5%	0.39%	0.08%	0.1%	0.06%
40	0.49%	0.54%	0.41%	0.09%	0.11%	0.06%
41	0.51%	0.56%	0.43%	0.09%	0.12%	0.07%
42	0.55%	0.61%	0.46%	0.1%	0.13%	0.07%
43	0.57%	0.64%	0.48%	0.11%	0.14%	0.08%
44	0.61%	0.68%	0.51%	0.12%	0.16%	0.09%
45	0.65%	0.73%	0.54%	0.14%	0.18%	0.1%
46	0.69%	0.77%	0.57%	0.15%	0.2%	0.11%
47	0.74%	0.83%	0.61%	0.17%	0.22%	0.13%
48	0.79%	0.89%	0.65%	0.19%	0.24%	0.14%
49	0.85%	0.96%	0.7%	0.22%	0.27%	0.16%
50	0.93%	1.05%	0.76%	0.24%	0.3%	0.18%
51	0.98%	1.11%	0.81%	0.27%	0.34%	0.19%
52	1.07%	1.21%	0.88%	0.3%	0.38%	0.22%
53	1.14%	1.29%	0.94%	0.34%	0.43%	0.24%
54	1.22%	1.38%	1.01%	0.38%	0.49%	0.27%
55	1.3%	1.48%	1.08%	0.42%	0.54%	0.3%
56	1.4%	1.58%	1.17%	0.47%	0.61%	0.33%
57	1.5%	1.7%	1.25%	0.52%	0.68%	0.36%
58	1.62%	1.84%	1.37%	0.57%	0.75%	0.4%
59	1.75%	1.99%	1.48%	0.63%	0.83%	0.44%
60	1.94%	2.18%	1.65%	0.7%	0.91%	0.48%
61	2.07%	2.33%	1.77%	0.76%	1%	0.53%
62	2.28%	2.56%	1.97%	0.83%	1.1%	0.57%
63	2.48%	2.78%	2.15%	0.91%	1.21%	0.62%
64	2.69%	3.02%	2.35%	0.99%	1.31%	0.68%
65	2.94%	3.28%	2.58%	1.07%	1.41%	0.74%
66	3.17%	3.52%	2.8%	1.15%	1.52%	0.8%
67	3.45%	3.83%	3.08%	1.25%	1.64%	0.87%
68	3.78%	4.17%	3.4%	1.34%	1.76%	0.95%
69	4.11%	4.53%	3.72%	1.45%	1.89%	1.04%
70	4.57%	4.99%	4.18%	1.57%	2.05%	1.14%
71	4.91%	5.36%	4.51%	1.7%	2.22%	1.25%
72	5.46%	5.93%	5.04%	1.84%	2.39%	1.36%
73	5.95%	6.45%	5.52%	1.99%	2.58%	1.47%
74	6.52%	7.03%	6.07%	2.16%	2.81%	1.61%
75	7.14%	7.67%	6.67%	2.36%	3.06%	1.77%
76	7.78%	8.32%	7.29%	2.59%	3.34%	1.95%
77	8.44%	9.01%	7.93%	2.86%	3.67%	2.18%
78	9.26%	9.85%	8.74%	3.2%	4.08%	2.47%
79	10%	10.6%	9.49%	3.62%	4.58%	2.86%
80	11%	11.6%	10.5%	4.14%	5.17%	3.34%
81	11.7%	12.4%	11.2%	4.73%	5.84%	3.88%
82	12.9%	13.6%	12.4%	5.41%	6.62%	4.5%
83	14%	14.7%	13.5%	6.2%	7.52%	5.23%
84	15.3%	16%	14.8%	7.1%	8.54%	6.08%
85	16.5%	17.2%	16%	8.14%	9.7%	7.07%
86	17.8%	18.5%	17.3%	9.3%	11%	8.19%
87	19.1%	19.8%	18.6%	10.6%	12.4%	9.44%
88	20.5%	21.2%	20%	12%	13.9%	10.8%
89	21.9%	22.5%	21.4%	13.5%	15.5%	12.4%
90	23.5%	24.1%	23.2%	15.3%	17.3%	14.1%
91	24.8%	25.4%	24.4%	17.1%	19.3%	16%
92	26.6%	27.1%	26.2%	19.1%	21.5%	18%
93	28.2%	28.7%	27.9%	21.2%	23.8%	20.1%
94	29.9%	30.3%	29.7%	23.4%	26.1%	22.3%
95	31.8%	32.1%	31.6%	25.8%	28.3%	24.7%
96	33.4%	33.7%	33.3%	28.2%	30.7%	27.4%
97	35.1%	35.2%	35%	30.8%	33.1%	30%
98	36.6%	36.6%	36.6%	33.3%	35.5%	32.7%
99	38.5%	38.4%	38.6%	35.9%	38%	35.3%
100	40.1%	39.9%	40.2%	38.4%	40.4%	38%

Death rate by age in Equatorial Guinea compared to Germany

In Equatorial Guinea, the most common age of death is 0, compared to 88 in Germany. The median age of death is 71.2 in Equatorial Guinea and 84.9 in Germany — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Equatorial Guinea			Germany
	Total	Male	Female	Total	Male	Female
0	5,077	5,587	4,563	272.1	292.4	250.7
1	736	770	700	28.1	30.9	25.2
2	446	469	423	10.5	11.5	9.45
3	307	324	289.1	9.02	9.63	8.37
4	219.5	231.3	207.2	8.66	9.05	8.24
5	167.7	177.6	157.6	7.93	8.39	7.44
6	138.8	148.1	129.1	6.95	7.77	6.09
7	118.7	127.7	109.4	6.15	7.21	5.03
8	104.3	112.8	95.5	5.72	6.72	4.66
9	95	103.1	86.6	5.65	6.45	4.81
10	89.7	97.3	81.9	5.9	6.44	5.33
11	87.5	94.6	80.2	6.24	6.37	6.1
12	89	96.2	81.5	6.86	6.73	7
13	93.7	101.6	85.5	7.88	8.01	7.75
14	101.9	111.3	92.1	9.57	10.4	8.68
15	113	124.5	101.1	12.3	14.2	10.3
16	127.7	143.3	111.6	15.9	19.4	12.3
17	142.1	162.9	120.7	20	25.8	13.9
18	157.5	183.8	130.2	23.5	31.7	14.8
19	170	200.7	138.2	25.9	35.6	15.7
20	181.6	215.4	145.7	26.7	37.1	15.8
21	191.4	227.4	152.1	26.3	37	14.9
22	199.8	236.6	158.9	26.4	37.2	14.9
23	206.7	243	165.6	26.9	37.8	15.3
24	212.7	247.8	172.6	27.6	38.7	15.5
25	217.8	251.4	179.2	28.4	39.7	15.9
26	223.5	255.4	186.4	29.3	40.4	17.1
27	229.6	260.2	193.8	30.7	41.4	18.8
28	237.1	266.7	202.2	32.8	43.4	21.1
29	244.6	274	209.7	35.6	46.4	23.7
30	255.3	284.5	220.3	39.3	50.6	26.8
31	262.4	291.9	226.5	42.8	55.3	29.2
32	276.6	307	239.6	45.6	59.7	30.4
33	289.1	319	250.9	48.6	63.3	32.6
34	303	334	263.3	52	67.3	35.7
35	319	351	277.4	56.1	72.7	38.3
36	336	368	291.8	60.6	78.8	41.2
37	352	386	306	65.9	85	45.5
38	374	408	325	71.6	91.5	50.5
39	393	428	341	78.3	100	55.4
40	418	456	363	85.7	110	60.3
41	435	474	375	93.1	119.6	65.5
42	465	507	401	101.2	129.5	71.9
43	487	532	418	110.3	140.1	79.7
44	514	562	439	122.4	155.5	88.6
45	546	599	464	136.6	174	98.6
46	574	631	487	151.7	192.5	110.2
47	610	671	514	168.6	212.6	123.8
48	652	718	551	188.4	236.8	139.2
49	694	766	585	210.5	264.2	155.7
50	749	825	634	233.2	293	172.4
51	785	865	664	258.5	326	190.2
52	847	930	721	289.5	367	210.7
53	893	982	763	325	414	234
54	946	1,039	813	363	464	259.6
55	997	1,094	862	404	516	288.7
56	1,056	1,157	919	448	572	319
57	1,114	1,219	975	494	633	350
58	1,191	1,300	1,051	543	698	382
59	1,265	1,378	1,124	595	764	420
60	1,371	1,484	1,234	651	833	461
61	1,437	1,551	1,298	708	908	500
62	1,552	1,665	1,417	767	987	539
63	1,647	1,759	1,517	831	1,071	584
64	1,747	1,855	1,625	896	1,152	634
65	1,855	1,956	1,744	956	1,224	683
66	1,940	2,033	1,844	1,022	1,300	738
67	2,048	2,132	1,968	1,090	1,379	796
68	2,164	2,234	2,105	1,159	1,456	858
69	2,266	2,322	2,227	1,233	1,539	927
70	2,415	2,446	2,409	1,318	1,634	1,006
71	2,476	2,494	2,489	1,408	1,734	1,090
72	2,616	2,611	2,656	1,493	1,827	1,171
73	2,699	2,671	2,762	1,584	1,925	1,256
74	2,780	2,726	2,871	1,689	2,037	1,352
75	2,846	2,762	2,964	1,806	2,160	1,460
76	2,878	2,769	3,020	1,932	2,286	1,580
77	2,882	2,749	3,049	2,079	2,428	1,731
78	2,894	2,734	3,094	2,260	2,596	1,926
79	2,840	2,662	3,065	2,480	2,794	2,173
80	2,802	2,598	3,060	2,730	3,010	2,459
81	2,667	2,455	2,937	2,993	3,228	2,764
82	2,592	2,359	2,884	3,262	3,444	3,084
83	2,449	2,203	2,751	3,533	3,652	3,423
84	2,295	2,041	2,600	3,797	3,839	3,771
85	2,096	1,838	2,398	4,040	3,987	4,115
86	1,891	1,639	2,182	4,241	4,074	4,432
87	1,667	1,429	1,939	4,374	4,081	4,691
88	1,447	1,226	1,698	4,432	4,016	4,871
89	1,227	1,028	1,452	4,410	3,874	4,969
90	1,033	854	1,234	4,295	3,645	4,964
91	831	681	999	4,088	3,356	4,836
92	670	543	811	3,784	3,017	4,563
93	523	419	637	3,396	2,625	4,175
94	398	316	488	2,953	2,195	3,710
95	296.2	233	365	2,484	1,763	3,192
96	212.9	166.1	263.8	2,022	1,369	2,656
97	148.5	115.2	184.9	1,583	1,024	2,118
98	100.7	77.8	125.8	1,184	736	1,611
99	67.1	51.7	84.1	850	506	1,173
100	0	0	0	393	135.7	625

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 Germany 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 Germany: Facts and Figures

By topic vs comparisons:

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