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

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

Germany

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			Germany
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	101.9	101.8	101.9
99	101	100.9	101	101	100.9	101.1
98	100.1	100.1	100.1	100.2	100.1	100.2
97	99.2	99.2	99.2	99.4	99.2	99.4
96	98.3	98.3	98.3	98.6	98.4	98.6
95	97.4	97.4	97.4	97.8	97.6	97.9
94	96.5	96.5	96.5	97	96.8	97.1
93	95.7	95.6	95.7	96.3	96	96.4
92	94.8	94.8	94.9	95.6	95.3	95.7
91	94	94	94	94.9	94.5	95
90	93.2	93.1	93.2	94.2	93.9	94.4
89	92.4	92.3	92.4	93.6	93.2	93.8
88	91.6	91.5	91.6	93	92.5	93.2
87	90.8	90.7	90.9	92.4	91.9	92.7
86	90	89.9	90.1	91.9	91.3	92.2
85	89.3	89.2	89.4	91.3	90.8	91.7
84	88.6	88.4	88.7	90.9	90.3	91.3
83	87.9	87.7	88	90.4	89.8	90.9
82	87.2	87	87.3	90	89.3	90.5
81	86.5	86.3	86.6	89.6	88.8	90.2
80	85.8	85.6	86	89.2	88.4	89.8
79	85.2	85	85.4	88.9	88	89.6
78	84.6	84.4	84.8	88.6	87.6	89.3
77	84	83.7	84.2	88.2	87.3	89
76	83.4	83.1	83.7	88	86.9	88.8
75	82.9	82.6	83.1	87.7	86.6	88.6
74	82.3	82	82.6	87.4	86.3	88.3
73	81.8	81.4	82.1	87.1	85.9	88.1
72	81.3	80.9	81.6	86.9	85.6	87.9
71	80.8	80.4	81.2	86.6	85.3	87.7
70	80.3	79.9	80.7	86.3	85	87.5
69	79.9	79.4	80.3	86.1	84.7	87.3
68	79.5	79	79.9	85.9	84.4	87.2
67	79	78.6	79.5	85.6	84.2	87
66	78.7	78.1	79.2	85.4	83.9	86.8
65	78.3	77.7	78.8	85.2	83.7	86.7
64	77.9	77.3	78.5	85	83.4	86.5
63	77.5	76.9	78.1	84.8	83.2	86.4
62	77.2	76.6	77.8	84.6	82.9	86.2
61	76.9	76.2	77.6	84.5	82.7	86.1
60	76.6	75.9	77.3	84.3	82.5	86
59	76.3	75.6	77	84.1	82.3	85.9
58	76	75.2	76.8	84	82.2	85.8
57	75.7	74.9	76.5	83.9	82	85.7
56	75.4	74.7	76.3	83.7	81.9	85.6
55	75.2	74.4	76.1	83.6	81.7	85.5
54	74.9	74.1	75.9	83.5	81.6	85.4
53	74.7	73.8	75.6	83.4	81.5	85.3
52	74.5	73.6	75.4	83.3	81.4	85.3
51	74.2	73.3	75.3	83.2	81.3	85.2
50	74	73.1	75.1	83.2	81.2	85.1
49	73.8	72.9	74.9	83.1	81.1	85.1
48	73.6	72.7	74.7	83	81	85
47	73.4	72.5	74.6	83	80.9	85
46	73.2	72.3	74.4	82.9	80.9	84.9
45	73.1	72.1	74.2	82.9	80.8	84.9
44	72.9	71.9	74.1	82.8	80.7	84.9
43	72.7	71.7	73.9	82.8	80.7	84.8
42	72.5	71.5	73.8	82.7	80.6	84.8
41	72.4	71.4	73.7	82.7	80.6	84.8
40	72.2	71.2	73.5	82.7	80.6	84.7
39	72.1	71	73.4	82.6	80.5	84.7
38	72	70.9	73.3	82.6	80.5	84.7
37	71.8	70.7	73.2	82.6	80.4	84.7
36	71.7	70.6	73	82.5	80.4	84.6
35	71.6	70.4	72.9	82.5	80.4	84.6
34	71.4	70.3	72.8	82.5	80.3	84.6
33	71.3	70.2	72.7	82.5	80.3	84.6
32	71.2	70.1	72.6	82.4	80.3	84.6
31	71.1	69.9	72.5	82.4	80.3	84.6
30	71	69.8	72.4	82.4	80.2	84.5
29	70.8	69.7	72.3	82.4	80.2	84.5
28	70.7	69.6	72.2	82.4	80.2	84.5
27	70.6	69.4	72.1	82.3	80.2	84.5
26	70.5	69.3	72	82.3	80.1	84.5
25	70.4	69.2	71.9	82.3	80.1	84.5
24	70.3	69.1	71.8	82.3	80.1	84.5
23	70.2	68.9	71.8	82.3	80.1	84.5
22	70.1	68.8	71.7	82.3	80.1	84.5
21	70	68.7	71.6	82.2	80	84.5
20	69.9	68.6	71.5	82.2	80	84.4
19	69.8	68.5	71.4	82.2	80	84.4
18	69.7	68.4	71.4	82.2	80	84.4
17	69.6	68.3	71.3	82.2	80	84.4
16	69.6	68.2	71.2	82.2	80	84.4
15	69.5	68.2	71.2	82.2	79.9	84.4
14	69.5	68.1	71.1	82.2	79.9	84.4
13	69.4	68	71.1	82.2	79.9	84.4
12	69.3	68	71	82.2	79.9	84.4
11	69.3	67.9	71	82.2	79.9	84.4
10	69.2	67.9	70.9	82.1	79.9	84.4
9	69.2	67.8	70.9	82.1	79.9	84.4
8	69.1	67.7	70.8	82.1	79.9	84.4
7	69	67.6	70.7	82.1	79.9	84.4
6	68.9	67.5	70.6	82.1	79.9	84.4
5	68.8	67.4	70.5	82.1	79.9	84.4
4	68.7	67.3	70.4	82.1	79.9	84.4
3	68.5	67	70.2	82.1	79.9	84.3
2	68.2	66.7	69.9	82.1	79.9	84.3
1	67.7	66.2	69.4	82.1	79.8	84.3
0	64.3	62.6	66.3	81.9	79.6	84.1

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 82.4 in Germany, rising to 78.3 and 85.2 at 65, and to 85.8 and 89.2 at 80 — higher than the 64.3 and 81.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

Germany

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			Germany
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	1.57%	0.87%	2.2%
99	0.18%	0.14%	0.22%	2.44%	1.4%	3.4%
98	0.28%	0.22%	0.35%	3.66%	2.17%	5.04%
97	0.43%	0.33%	0.54%	5.28%	3.24%	7.19%
96	0.65%	0.5%	0.81%	7.35%	4.66%	9.89%
95	0.95%	0.74%	1.18%	9.89%	6.48%	13.1%
94	1.35%	1.06%	1.67%	12.9%	8.74%	16.9%
93	1.88%	1.48%	2.32%	16.4%	11.4%	21.1%
92	2.56%	2.03%	3.14%	20.2%	14.5%	25.7%
91	3.4%	2.72%	4.15%	24.3%	18%	30.6%
90	4.44%	3.58%	5.4%	28.7%	21.7%	35.6%
89	5.68%	4.62%	6.87%	33.1%	25.6%	40.5%
88	7.14%	5.86%	8.58%	37.6%	29.7%	45.4%
87	8.83%	7.31%	10.5%	42%	33.8%	50.1%
86	10.7%	8.96%	12.7%	46.2%	37.9%	54.5%
85	12.8%	10.8%	15.2%	50.3%	41.9%	58.6%
84	15.2%	12.9%	17.8%	54%	45.7%	62.4%
83	17.6%	15.1%	20.6%	57.6%	49.3%	65.8%
82	20.2%	17.5%	23.5%	60.8%	52.8%	68.9%
81	22.9%	19.9%	26.4%	63.8%	56%	71.6%
80	25.7%	22.6%	29.5%	66.5%	58.9%	74%
79	28.6%	25.2%	32.6%	68.9%	61.7%	76.2%
78	31.5%	28%	35.7%	71.2%	64.3%	78.1%
77	34.4%	30.7%	38.7%	73.2%	66.7%	79.8%
76	37.3%	33.5%	41.8%	75.1%	68.9%	81.4%
75	40.1%	36.3%	44.7%	76.9%	71%	82.8%
74	42.9%	39%	47.6%	78.5%	73%	84.1%
73	45.6%	41.7%	50.4%	80.1%	74.9%	85.4%
72	48.2%	44.3%	53.1%	81.6%	76.7%	86.5%
71	50.7%	46.8%	55.6%	83%	78.4%	87.6%
70	53.1%	49.3%	58%	84.3%	80%	88.6%
69	55.4%	51.6%	60.2%	85.5%	81.6%	89.5%
68	57.6%	53.8%	62.3%	86.6%	83%	90.4%
67	59.6%	56%	64.3%	87.7%	84.3%	91.2%
66	61.6%	58%	66.1%	88.7%	85.6%	91.9%
65	63.4%	60%	67.9%	89.6%	86.8%	92.6%
64	65.2%	61.8%	69.5%	90.5%	88%	93.2%
63	66.8%	63.6%	71%	91.3%	89%	93.8%
62	68.4%	65.2%	72.4%	92.1%	90%	94.3%
61	69.8%	66.8%	73.7%	92.8%	90.9%	94.8%
60	71.2%	68.3%	74.9%	93.4%	91.7%	95.2%
59	72.5%	69.6%	76.1%	94%	92.5%	95.7%
58	73.6%	70.9%	77.1%	94.6%	93.1%	96%
57	74.8%	72.2%	78.1%	95.1%	93.8%	96.4%
56	75.8%	73.3%	79%	95.5%	94.3%	96.7%
55	76.8%	74.4%	79.8%	95.9%	94.8%	97%
54	77.7%	75.4%	80.7%	96.3%	95.3%	97.2%
53	78.6%	76.4%	81.4%	96.6%	95.7%	97.5%
52	79.5%	77.3%	82.1%	96.9%	96.1%	97.7%
51	80.3%	78.2%	82.8%	97.1%	96.4%	97.9%
50	81%	79%	83.4%	97.3%	96.7%	98%
49	81.7%	79.8%	84%	97.5%	96.9%	98.2%
48	82.3%	80.5%	84.5%	97.7%	97.2%	98.3%
47	82.9%	81.2%	85.1%	97.9%	97.4%	98.5%
46	83.5%	81.8%	85.5%	98%	97.6%	98.6%
45	84.1%	82.4%	86%	98.2%	97.7%	98.7%
44	84.6%	82.9%	86.4%	98.3%	97.9%	98.8%
43	85.1%	83.5%	86.8%	98.4%	98%	98.8%
42	85.5%	84%	87.2%	98.5%	98.1%	98.9%
41	85.9%	84.4%	87.6%	98.6%	98.3%	99%
40	86.4%	84.9%	88%	98.7%	98.4%	99%
39	86.7%	85.3%	88.3%	98.8%	98.5%	99.1%
38	87.1%	85.7%	88.6%	98.8%	98.6%	99.1%
37	87.5%	86.1%	88.9%	98.9%	98.6%	99.2%
36	87.8%	86.5%	89.2%	99%	98.7%	99.2%
35	88.1%	86.8%	89.5%	99%	98.8%	99.3%
34	88.4%	87.2%	89.7%	99.1%	98.9%	99.3%
33	88.7%	87.5%	90%	99.1%	98.9%	99.3%
32	89%	87.8%	90.2%	99.2%	99%	99.4%
31	89.2%	88.1%	90.4%	99.2%	99%	99.4%
30	89.5%	88.3%	90.7%	99.2%	99.1%	99.4%
29	89.7%	88.6%	90.9%	99.3%	99.1%	99.4%
28	89.9%	88.9%	91.1%	99.3%	99.2%	99.5%
27	90.2%	89.1%	91.3%	99.3%	99.2%	99.5%
26	90.4%	89.4%	91.4%	99.4%	99.2%	99.5%
25	90.6%	89.6%	91.6%	99.4%	99.3%	99.5%
24	90.8%	89.9%	91.8%	99.4%	99.3%	99.5%
23	91%	90.1%	92%	99.4%	99.4%	99.5%
22	91.2%	90.3%	92.1%	99.5%	99.4%	99.5%
21	91.4%	90.6%	92.3%	99.5%	99.4%	99.6%
20	91.6%	90.8%	92.4%	99.5%	99.5%	99.6%
19	91.8%	91%	92.5%	99.5%	99.5%	99.6%
18	91.9%	91.2%	92.7%	99.6%	99.5%	99.6%
17	92%	91.3%	92.8%	99.6%	99.6%	99.6%
16	92.2%	91.5%	92.9%	99.6%	99.6%	99.6%
15	92.3%	91.6%	93%	99.6%	99.6%	99.6%
14	92.4%	91.7%	93.1%	99.6%	99.6%	99.7%
13	92.5%	91.8%	93.2%	99.6%	99.6%	99.7%
12	92.6%	91.9%	93.2%	99.6%	99.6%	99.7%
11	92.6%	92%	93.3%	99.6%	99.6%	99.7%
10	92.7%	92.1%	93.4%	99.7%	99.6%	99.7%
9	92.8%	92.2%	93.5%	99.7%	99.6%	99.7%
8	92.9%	92.3%	93.6%	99.7%	99.6%	99.7%
7	93%	92.4%	93.7%	99.7%	99.6%	99.7%
6	93.2%	92.6%	93.8%	99.7%	99.7%	99.7%
5	93.4%	92.7%	94%	99.7%	99.7%	99.7%
4	93.6%	93%	94.2%	99.7%	99.7%	99.7%
3	93.9%	93.3%	94.5%	99.7%	99.7%	99.7%
2	94.3%	93.8%	94.9%	99.7%	99.7%	99.7%
1	95%	94.5%	95.5%	99.7%	99.7%	99.8%

This chart shows the odds of living to each age from birth. 71.2% of newborns in Equatorial Guinea and 93.4% in Germany are expected to live past 60, 53.1% and 84.3% past 70, 25.7% and 66.5% past 80, and only 4.44% and 28.7% 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

Germany

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			Germany
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	38.4%	40.3%	37.9%
99	38.5%	38.4%	38.5%	35.8%	37.9%	35.2%
98	36.6%	36.6%	36.6%	33.3%	35.4%	32.6%
97	35%	35.2%	34.9%	30.7%	32.9%	30%
96	33.4%	33.6%	33.3%	28.2%	30.5%	27.3%
95	31.7%	32%	31.5%	25.7%	28.2%	24.7%
94	29.9%	30.3%	29.6%	23.3%	25.9%	22.2%
93	28.2%	28.6%	27.9%	21.1%	23.6%	20%
92	26.5%	27.1%	26.2%	19%	21.3%	17.9%
91	24.7%	25.3%	24.4%	17%	19.1%	15.9%
90	23.5%	24.1%	23.1%	15.1%	17.1%	14%
89	21.8%	22.5%	21.4%	13.4%	15.4%	12.3%
88	20.5%	21.1%	20%	11.9%	13.7%	10.7%
87	19.1%	19.7%	18.6%	10.5%	12.2%	9.36%
86	17.8%	18.5%	17.3%	9.19%	10.8%	8.11%
85	16.4%	17.1%	16%	8.04%	9.54%	6.99%
84	15.2%	16%	14.7%	7.01%	8.39%	6.01%
83	14%	14.7%	13.5%	6.11%	7.38%	5.17%
82	12.9%	13.6%	12.4%	5.32%	6.49%	4.45%
81	11.7%	12.4%	11.2%	4.65%	5.72%	3.83%
80	11%	11.6%	10.4%	4.06%	5.05%	3.29%
79	9.99%	10.6%	9.46%	3.56%	4.47%	2.82%
78	9.23%	9.82%	8.71%	3.13%	3.98%	2.44%
77	8.41%	8.99%	7.9%	2.8%	3.59%	2.14%
76	7.74%	8.3%	7.26%	2.53%	3.26%	1.92%
75	7.11%	7.64%	6.65%	2.31%	2.99%	1.74%
74	6.49%	7.01%	6.04%	2.12%	2.74%	1.59%
73	5.93%	6.43%	5.49%	1.95%	2.53%	1.45%
72	5.43%	5.91%	5.02%	1.8%	2.34%	1.34%
71	4.89%	5.34%	4.49%	1.67%	2.17%	1.23%
70	4.55%	4.97%	4.16%	1.54%	2.01%	1.12%
69	4.1%	4.51%	3.7%	1.42%	1.86%	1.02%
68	3.77%	4.15%	3.38%	1.32%	1.73%	0.94%
67	3.44%	3.81%	3.06%	1.23%	1.61%	0.86%
66	3.15%	3.51%	2.79%	1.14%	1.49%	0.79%
65	2.93%	3.26%	2.57%	1.05%	1.39%	0.73%
64	2.68%	3%	2.34%	0.98%	1.29%	0.67%
63	2.46%	2.77%	2.13%	0.9%	1.19%	0.62%
62	2.27%	2.55%	1.95%	0.82%	1.08%	0.57%
61	2.06%	2.32%	1.76%	0.75%	0.98%	0.52%
60	1.92%	2.17%	1.64%	0.69%	0.89%	0.48%
59	1.74%	1.97%	1.47%	0.62%	0.81%	0.44%
58	1.62%	1.83%	1.36%	0.57%	0.74%	0.39%
57	1.49%	1.69%	1.24%	0.51%	0.66%	0.36%
56	1.39%	1.57%	1.16%	0.46%	0.6%	0.33%
55	1.3%	1.47%	1.07%	0.42%	0.54%	0.29%
54	1.21%	1.37%	1%	0.37%	0.48%	0.26%
53	1.13%	1.28%	0.93%	0.33%	0.43%	0.24%
52	1.06%	1.2%	0.87%	0.29%	0.38%	0.21%
51	0.97%	1.1%	0.8%	0.26%	0.33%	0.19%
50	0.92%	1.04%	0.75%	0.24%	0.3%	0.17%
49	0.84%	0.95%	0.69%	0.21%	0.27%	0.16%
48	0.79%	0.89%	0.65%	0.19%	0.24%	0.14%
47	0.73%	0.82%	0.6%	0.17%	0.21%	0.12%
46	0.68%	0.77%	0.56%	0.15%	0.19%	0.11%
45	0.64%	0.72%	0.53%	0.14%	0.17%	0.1%
44	0.6%	0.67%	0.5%	0.12%	0.16%	0.09%
43	0.57%	0.63%	0.48%	0.11%	0.14%	0.08%
42	0.54%	0.6%	0.45%	0.1%	0.13%	0.07%
41	0.5%	0.56%	0.42%	0.09%	0.12%	0.07%
40	0.48%	0.53%	0.41%	0.09%	0.11%	0.06%
39	0.45%	0.5%	0.38%	0.08%	0.1%	0.06%
38	0.42%	0.47%	0.36%	0.07%	0.09%	0.05%
37	0.4%	0.44%	0.34%	0.07%	0.08%	0.05%
36	0.38%	0.42%	0.32%	0.06%	0.08%	0.04%
35	0.36%	0.4%	0.31%	0.06%	0.07%	0.04%
34	0.34%	0.38%	0.29%	0.05%	0.07%	0.04%
33	0.32%	0.36%	0.27%	0.05%	0.06%	0.03%
32	0.31%	0.35%	0.26%	0.05%	0.06%	0.03%
31	0.29%	0.33%	0.25%	0.04%	0.05%	0.03%
30	0.28%	0.32%	0.24%	0.04%	0.05%	0.03%
29	0.27%	0.31%	0.23%	0.04%	0.05%	0.02%
28	0.26%	0.3%	0.22%	0.03%	0.04%	0.02%
27	0.25%	0.29%	0.21%	0.03%	0.04%	0.02%
26	0.24%	0.28%	0.2%	0.03%	0.04%	0.02%
25	0.24%	0.28%	0.19%	0.03%	0.04%	0.02%
24	0.23%	0.27%	0.18%	0.03%	0.04%	0.02%
23	0.22%	0.27%	0.18%	0.03%	0.04%	0.02%
22	0.22%	0.26%	0.17%	0.03%	0.04%	0.01%
21	0.21%	0.25%	0.16%	0.03%	0.04%	0.01%
20	0.19%	0.23%	0.15%	0.03%	0.04%	0.02%
19	0.18%	0.22%	0.15%	0.03%	0.03%	0.02%
18	0.17%	0.2%	0.14%	0.02%	0.03%	0.01%
17	0.15%	0.18%	0.13%	0.02%	0.03%	0.01%
16	0.14%	0.15%	0.12%	0.02%	0.02%	0.01%
15	0.12%	0.13%	0.11%	0.01%	0.01%	0.01%
14	0.11%	0.12%	0.1%	0.009%	0.01%	0.009%
13	0.1%	0.11%	0.09%	0.008%	0.008%	0.008%
12	0.09%	0.1%	0.09%	0.007%	0.007%	0.007%
11	0.09%	0.1%	0.08%	0.006%	0.006%	0.006%
10	0.1%	0.1%	0.09%	0.006%	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%	0.006%	0.007%	0.005%
6	0.15%	0.16%	0.13%	0.007%	0.008%	0.006%
5	0.18%	0.19%	0.16%	0.008%	0.008%	0.007%
4	0.23%	0.25%	0.22%	0.008%	0.009%	0.008%
3	0.32%	0.34%	0.3%	0.009%	0.009%	0.008%
2	0.46%	0.49%	0.44%	0.01%	0.01%	0.009%
1	0.76%	0.8%	0.72%	0.03%	0.03%	0.02%
0	4.97%	5.49%	4.45%	0.26%	0.28%	0.24%

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

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 0.26% in Germany, 0.28% vs 0.04% at age 30, 1.92% vs 0.69% at 60, and 11% vs 4.06% at 80.

Death rate by age in Equatorial Guinea vs Germany

Chart Table

Equatorial Guinea

Male

Female

Germany

Male

Female

1x

Age	Death rate
	Equatorial Guinea			Germany
	Total	Male	Female	Total	Male	Female
100	0	0	0	411	149.7	645
99	68.2	52.5	85.6	874	530	1,197
98	102.3	78.9	128	1,217	768	1,642
97	150.8	116.9	188	1,623	1,066	2,155
96	216	168.5	268.1	2,070	1,421	2,698
95	300	236.2	371	2,537	1,824	3,236
94	404	320	496	3,012	2,264	3,756
93	529	425	646	3,456	2,699	4,218
92	678	550	822	3,843	3,091	4,602
91	841	690	1,012	4,141	3,427	4,868
90	1,044	863	1,249	4,341	3,710	4,988
89	1,240	1,040	1,468	4,447	3,930	4,984
88	1,461	1,239	1,716	4,458	4,061	4,878
87	1,682	1,443	1,958	4,390	4,114	4,689
86	1,906	1,654	2,202	4,248	4,095	4,424
85	2,111	1,853	2,419	4,039	3,995	4,101
84	2,311	2,057	2,621	3,788	3,836	3,753
83	2,466	2,220	2,772	3,517	3,640	3,402
82	2,609	2,375	2,904	3,238	3,424	3,062
81	2,685	2,471	2,956	2,964	3,202	2,740
80	2,820	2,614	3,078	2,702	2,979	2,436
79	2,857	2,677	3,081	2,452	2,760	2,150
78	2,908	2,748	3,108	2,230	2,560	1,904
77	2,893	2,762	3,062	2,048	2,391	1,710
76	2,887	2,781	3,032	1,900	2,250	1,561
75	2,854	2,773	2,974	1,777	2,125	1,442
74	2,787	2,735	2,879	1,662	2,004	1,335
73	2,705	2,680	2,769	1,560	1,893	1,240
72	2,622	2,618	2,661	1,471	1,797	1,157
71	2,482	2,500	2,494	1,389	1,705	1,078
70	2,420	2,451	2,412	1,300	1,607	995
69	2,271	2,326	2,229	1,217	1,514	916
68	2,168	2,237	2,107	1,142	1,432	848
67	2,052	2,134	1,968	1,075	1,357	788
66	1,942	2,034	1,844	1,007	1,280	730
65	1,856	1,957	1,743	943	1,205	676
64	1,748	1,855	1,624	884	1,135	627
63	1,647	1,758	1,515	821	1,055	579
62	1,551	1,664	1,415	757	972	534
61	1,435	1,549	1,296	699	895	495
60	1,370	1,481	1,230	642	821	457
59	1,264	1,375	1,120	587	753	416
58	1,189	1,297	1,047	535	687	378
57	1,112	1,216	971	487	623	346
56	1,054	1,154	915	441	563	316
55	995	1,091	858	398	508	285.7
54	944	1,036	809	358	456	256.9
53	890	978	758	320	407	231.5
52	843	926	717	284.9	360	208.4
51	782	861	660	254.5	320	188
50	745	821	629	229.5	287.6	170.4
49	690	761	580	207	259.3	153.8
48	648	714	546	185.3	232.3	137.5
47	605	667	510	165.7	208.4	122.3
46	570	627	482	149.1	188.7	108.9
45	542	595	460	134.2	170.5	97.3
44	509	558	434	120.3	152.3	87.5
43	482	527	413	108.4	137.1	78.7
42	461	503	397	99.4	126.7	71
41	430	470	371	91.5	117.1	64.6
40	414	452	358	84.2	107.7	59.5
39	388	424	336	76.9	97.9	54.6
38	369	404	320	70.3	89.5	49.8
37	348	382	301	64.7	83.1	44.9
36	331	364	287.2	59.4	77	40.6
35	315	347	273	55	71.1	37.8
34	298.6	330	259	51	65.8	35.2
33	284.9	316	246.7	47.6	61.9	32.2
32	272.6	303	235.5	44.7	58.3	30
31	258.6	288.5	222.6	42	54	28.8
30	251.6	281.1	216.4	38.5	49.5	26.4
29	241	270.6	205.9	34.9	45.3	23.4
28	233.5	263.4	198.5	32.1	42.4	20.8
27	226.2	257	190.2	30	40.3	18.5
26	220.1	252.2	182.9	28.6	39.3	16.8
25	214.4	248.1	175.8	27.6	38.6	15.7
24	209.3	244.6	169.2	26.9	37.6	15.2
23	203.3	239.9	162.3	26.2	36.7	15
22	196.5	233.5	155.8	25.7	36.2	14.6
21	187.9	224.3	149	25.6	36	14.7
20	178.3	212.5	142.7	26.1	36	15.5
19	167.2	197.9	135.3	25.3	34.6	15.4
18	154.8	181.3	127.5	22.9	30.7	14.5
17	139.7	160.6	118.1	19.5	25.1	13.6
16	125.5	141.2	109.3	15.5	18.8	12.1
15	111	122.7	99	12	13.8	10.2
14	100.1	109.7	90.2	9.35	10.1	8.53
13	92	100.1	83.7	7.7	7.78	7.61
12	87.4	94.8	79.8	6.7	6.53	6.87
11	86	93.2	78.5	6.08	6.17	5.99
10	88.2	95.9	80.2	5.74	6.23	5.22
9	93.4	101.8	84.8	5.49	6.23	4.71
8	102.6	111.3	93.6	5.54	6.48	4.56
7	116.8	126.1	107.2	5.96	6.94	4.91
6	136.7	146.4	126.6	6.74	7.49	5.95
5	165.2	175.6	154.5	7.69	8.09	7.28
4	216.1	228.6	203.1	8.4	8.73	8.05
3	302	320	283.2	8.73	9.26	8.17
2	438	462	414	10.1	11	9.22
1	721	757	684	27.4	29.9	24.7
0	4,972	5,488	4,450	263.3	281	244.7

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 88 in Germany. The median age of death is 71.3 in Equatorial Guinea and 85.1 in Germany, 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 Germany more than their death rates.

Life expectancy in other countries

+ -

1x