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

Life expectancy by current age

Chart Table

Equatorial Guinea

Male

Female

Luxembourg

Male

Female

1x

Current age, years	Total life expectancy, years
	Equatorial Guinea			Luxembourg
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	101.9	102.1	101.9	102.1
99	101	100.9	101	101.2	101.1	101.2
98	100.1	100.1	100.1	100.4	100.2	100.4
97	99.2	99.2	99.2	99.5	99.4	99.6
96	98.3	98.3	98.3	98.7	98.5	98.8
95	97.4	97.4	97.4	98	97.7	98.1
94	96.5	96.5	96.5	97.2	97	97.3
93	95.7	95.6	95.7	96.5	96.2	96.6
92	94.8	94.8	94.9	95.8	95.5	95.9
91	94	94	94	95.1	94.7	95.3
90	93.2	93.1	93.2	94.5	94.1	94.7
89	92.4	92.3	92.4	93.8	93.4	94.1
88	91.6	91.5	91.6	93.2	92.8	93.5
87	90.8	90.7	90.9	92.7	92.1	93
86	90	89.9	90.1	92.1	91.6	92.5
85	89.3	89.2	89.4	91.6	91	92
84	88.6	88.4	88.7	91.1	90.5	91.6
83	87.9	87.7	88	90.7	90	91.2
82	87.2	87	87.3	90.3	89.5	90.8
81	86.5	86.3	86.6	89.9	89.1	90.4
80	85.8	85.6	86	89.5	88.7	90.1
79	85.2	85	85.4	89.2	88.3	89.8
78	84.6	84.4	84.8	88.8	88	89.5
77	84	83.7	84.2	88.5	87.6	89.3
76	83.4	83.1	83.7	88.2	87.3	89
75	82.9	82.6	83.1	87.9	87	88.8
74	82.3	82	82.6	87.7	86.7	88.5
73	81.8	81.4	82.1	87.4	86.4	88.3
72	81.3	80.9	81.6	87.2	86.1	88.1
71	80.8	80.4	81.2	86.9	85.8	87.9
70	80.3	79.9	80.7	86.7	85.5	87.7
69	79.9	79.4	80.3	86.5	85.3	87.6
68	79.5	79	79.9	86.3	85	87.4
67	79	78.6	79.5	86.1	84.8	87.2
66	78.7	78.1	79.2	85.9	84.6	87.1
65	78.3	77.7	78.8	85.7	84.4	86.9
64	77.9	77.3	78.5	85.5	84.2	86.8
63	77.5	76.9	78.1	85.4	84	86.7
62	77.2	76.6	77.8	85.2	83.8	86.6
61	76.9	76.2	77.6	85.1	83.7	86.4
60	76.6	75.9	77.3	85	83.5	86.3
59	76.3	75.6	77	84.8	83.4	86.2
58	76	75.2	76.8	84.7	83.2	86.2
57	75.7	74.9	76.5	84.6	83.1	86.1
56	75.4	74.7	76.3	84.5	83	86
55	75.2	74.4	76.1	84.4	82.9	85.9
54	74.9	74.1	75.9	84.3	82.7	85.9
53	74.7	73.8	75.6	84.2	82.6	85.8
52	74.5	73.6	75.4	84.1	82.6	85.7
51	74.2	73.3	75.3	84.1	82.5	85.7
50	74	73.1	75.1	84	82.4	85.6
49	73.8	72.9	74.9	83.9	82.3	85.6
48	73.6	72.7	74.7	83.9	82.3	85.5
47	73.4	72.5	74.6	83.8	82.2	85.5
46	73.2	72.3	74.4	83.8	82.1	85.4
45	73.1	72.1	74.2	83.7	82.1	85.4
44	72.9	71.9	74.1	83.7	82.1	85.4
43	72.7	71.7	73.9	83.7	82	85.3
42	72.5	71.5	73.8	83.6	82	85.3
41	72.4	71.4	73.7	83.6	82	85.3
40	72.2	71.2	73.5	83.6	81.9	85.2
39	72.1	71	73.4	83.6	81.9	85.2
38	72	70.9	73.3	83.5	81.9	85.2
37	71.8	70.7	73.2	83.5	81.8	85.2
36	71.7	70.6	73	83.5	81.8	85.2
35	71.6	70.4	72.9	83.5	81.8	85.1
34	71.4	70.3	72.8	83.5	81.8	85.1
33	71.3	70.2	72.7	83.4	81.8	85.1
32	71.2	70.1	72.6	83.4	81.7	85.1
31	71.1	69.9	72.5	83.4	81.7	85
30	71	69.8	72.4	83.4	81.7	85
29	70.8	69.7	72.3	83.3	81.7	85
28	70.7	69.6	72.2	83.3	81.6	85
27	70.6	69.4	72.1	83.3	81.6	84.9
26	70.5	69.3	72	83.3	81.6	84.9
25	70.4	69.2	71.9	83.2	81.6	84.9
24	70.3	69.1	71.8	83.2	81.6	84.9
23	70.2	68.9	71.8	83.2	81.6	84.8
22	70.1	68.8	71.7	83.2	81.5	84.8
21	70	68.7	71.6	83.2	81.5	84.8
20	69.9	68.6	71.5	83.1	81.5	84.8
19	69.8	68.5	71.4	83.1	81.5	84.7
18	69.7	68.4	71.4	83.1	81.5	84.7
17	69.6	68.3	71.3	83.1	81.4	84.7
16	69.6	68.2	71.2	83.1	81.4	84.7
15	69.5	68.2	71.2	83	81.4	84.6
14	69.5	68.1	71.1	83	81.4	84.6
13	69.4	68	71.1	83	81.4	84.6
12	69.3	68	71	83	81.4	84.6
11	69.3	67.9	71	83	81.4	84.5
10	69.2	67.9	70.9	83	81.4	84.5
9	69.2	67.8	70.9	83	81.4	84.5
8	69.1	67.7	70.8	82.9	81.4	84.5
7	69	67.6	70.7	82.9	81.4	84.5
6	68.9	67.5	70.6	82.9	81.4	84.4
5	68.8	67.4	70.5	82.9	81.4	84.4
4	68.7	67.3	70.4	82.9	81.4	84.4
3	68.5	67	70.2	82.9	81.4	84.4
2	68.2	66.7	69.9	82.9	81.4	84.4
1	67.7	66.2	69.4	82.9	81.3	84.4
0	64.3	62.6	66.3	82.6	81.1	84.2

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 83.4 in Luxembourg, rising to 78.3 and 85.7 at 65, and to 85.8 and 89.5 at 80 — higher than the 64.3 and 82.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Equatorial Guinea

Male

Female

Luxembourg

Male

Female

1x

Age	Survival probability
	Equatorial Guinea			Luxembourg
	Average	Male	Female	Average	Male	Female
100	0.11%	0.08%	0.14%	2.14%	1.24%	2.89%
99	0.18%	0.14%	0.22%	3.21%	1.93%	4.3%
98	0.28%	0.22%	0.35%	4.66%	2.9%	6.16%
97	0.43%	0.33%	0.54%	6.52%	4.21%	8.52%
96	0.65%	0.5%	0.81%	8.83%	5.91%	11.4%
95	0.95%	0.74%	1.18%	11.6%	8.03%	14.8%
94	1.35%	1.06%	1.67%	14.8%	10.6%	18.6%
93	1.88%	1.48%	2.32%	18.4%	13.6%	22.9%
92	2.56%	2.03%	3.14%	22.4%	17%	27.4%
91	3.4%	2.72%	4.15%	26.6%	20.7%	32.1%
90	4.44%	3.58%	5.4%	31%	24.7%	36.9%
89	5.68%	4.62%	6.87%	35.5%	28.9%	41.7%
88	7.14%	5.86%	8.58%	40%	33.2%	46.4%
87	8.83%	7.31%	10.5%	44.3%	37.6%	50.9%
86	10.7%	8.96%	12.7%	48.6%	41.9%	55.2%
85	12.8%	10.8%	15.2%	52.6%	46.1%	59.2%
84	15.2%	12.9%	17.8%	56.5%	50.1%	62.9%
83	17.6%	15.1%	20.6%	60%	53.9%	66.2%
82	20.2%	17.5%	23.5%	63.3%	57.5%	69.3%
81	22.9%	19.9%	26.4%	66.3%	60.7%	72%
80	25.7%	22.6%	29.5%	68.9%	63.7%	74.4%
79	28.6%	25.2%	32.6%	71.4%	66.4%	76.5%
78	31.5%	28%	35.7%	73.6%	68.9%	78.5%
77	34.4%	30.7%	38.7%	75.7%	71.2%	80.3%
76	37.3%	33.5%	41.8%	77.6%	73.4%	81.9%
75	40.1%	36.3%	44.7%	79.4%	75.5%	83.4%
74	42.9%	39%	47.6%	81%	77.4%	84.8%
73	45.6%	41.7%	50.4%	82.6%	79.2%	86.1%
72	48.2%	44.3%	53.1%	83.9%	80.9%	87.2%
71	50.7%	46.8%	55.6%	85.2%	82.4%	88.2%
70	53.1%	49.3%	58%	86.4%	83.9%	89.1%
69	55.4%	51.6%	60.2%	87.5%	85.2%	90%
68	57.6%	53.8%	62.3%	88.6%	86.5%	90.8%
67	59.6%	56%	64.3%	89.5%	87.6%	91.5%
66	61.6%	58%	66.1%	90.4%	88.6%	92.2%
65	63.4%	60%	67.9%	91.1%	89.6%	92.8%
64	65.2%	61.8%	69.5%	91.9%	90.5%	93.3%
63	66.8%	63.6%	71%	92.5%	91.3%	93.9%
62	68.4%	65.2%	72.4%	93.2%	92.1%	94.3%
61	69.8%	66.8%	73.7%	93.7%	92.8%	94.8%
60	71.2%	68.3%	74.9%	94.3%	93.4%	95.1%
59	72.5%	69.6%	76.1%	94.7%	94%	95.5%
58	73.6%	70.9%	77.1%	95.2%	94.6%	95.8%
57	74.8%	72.2%	78.1%	95.5%	95%	96%
56	75.8%	73.3%	79%	95.9%	95.5%	96.3%
55	76.8%	74.4%	79.8%	96.2%	95.9%	96.5%
54	77.7%	75.4%	80.7%	96.5%	96.2%	96.7%
53	78.6%	76.4%	81.4%	96.7%	96.5%	96.9%
52	79.5%	77.3%	82.1%	97%	96.8%	97.1%
51	80.3%	78.2%	82.8%	97.2%	97.1%	97.3%
50	81%	79%	83.4%	97.4%	97.4%	97.4%
49	81.7%	79.8%	84%	97.6%	97.6%	97.6%
48	82.3%	80.5%	84.5%	97.7%	97.8%	97.7%
47	82.9%	81.2%	85.1%	97.9%	97.9%	97.8%
46	83.5%	81.8%	85.5%	98%	98.1%	97.9%
45	84.1%	82.4%	86%	98.1%	98.2%	98%
44	84.6%	82.9%	86.4%	98.2%	98.3%	98.1%
43	85.1%	83.5%	86.8%	98.3%	98.4%	98.2%
42	85.5%	84%	87.2%	98.4%	98.5%	98.3%
41	85.9%	84.4%	87.6%	98.4%	98.5%	98.3%
40	86.4%	84.9%	88%	98.5%	98.6%	98.4%
39	86.7%	85.3%	88.3%	98.6%	98.7%	98.4%
38	87.1%	85.7%	88.6%	98.6%	98.8%	98.4%
37	87.5%	86.1%	88.9%	98.7%	98.8%	98.5%
36	87.8%	86.5%	89.2%	98.7%	98.9%	98.5%
35	88.1%	86.8%	89.5%	98.7%	98.9%	98.6%
34	88.4%	87.2%	89.7%	98.8%	98.9%	98.6%
33	88.7%	87.5%	90%	98.8%	99%	98.7%
32	89%	87.8%	90.2%	98.9%	99%	98.7%
31	89.2%	88.1%	90.4%	98.9%	99.1%	98.8%
30	89.5%	88.3%	90.7%	99%	99.1%	98.8%
29	89.7%	88.6%	90.9%	99%	99.2%	98.9%
28	89.9%	88.9%	91.1%	99.1%	99.2%	98.9%
27	90.2%	89.1%	91.3%	99.1%	99.2%	99%
26	90.4%	89.4%	91.4%	99.1%	99.3%	99%
25	90.6%	89.6%	91.6%	99.2%	99.3%	99%
24	90.8%	89.9%	91.8%	99.2%	99.3%	99.1%
23	91%	90.1%	92%	99.2%	99.4%	99.1%
22	91.2%	90.3%	92.1%	99.3%	99.4%	99.1%
21	91.4%	90.6%	92.3%	99.3%	99.4%	99.2%
20	91.6%	90.8%	92.4%	99.3%	99.5%	99.2%
19	91.8%	91%	92.5%	99.4%	99.5%	99.3%
18	91.9%	91.2%	92.7%	99.4%	99.5%	99.3%
17	92%	91.3%	92.8%	99.4%	99.5%	99.3%
16	92.2%	91.5%	92.9%	99.5%	99.6%	99.4%
15	92.3%	91.6%	93%	99.5%	99.6%	99.4%
14	92.4%	91.7%	93.1%	99.5%	99.6%	99.4%
13	92.5%	91.8%	93.2%	99.5%	99.6%	99.5%
12	92.6%	91.9%	93.2%	99.6%	99.6%	99.5%
11	92.6%	92%	93.3%	99.6%	99.6%	99.5%
10	92.7%	92.1%	93.4%	99.6%	99.6%	99.6%
9	92.8%	92.2%	93.5%	99.6%	99.6%	99.6%
8	92.9%	92.3%	93.6%	99.6%	99.6%	99.6%
7	93%	92.4%	93.7%	99.6%	99.6%	99.7%
6	93.2%	92.6%	93.8%	99.6%	99.6%	99.7%
5	93.4%	92.7%	94%	99.6%	99.6%	99.7%
4	93.6%	93%	94.2%	99.7%	99.6%	99.7%
3	93.9%	93.3%	94.5%	99.7%	99.6%	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 94.3% in Luxembourg are expected to live past 60, 53.1% and 86.4% past 70, 25.7% and 68.9% past 80, and only 4.44% and 31% 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

Luxembourg

Male

Female

1x

Age	Probability of dying
	Equatorial Guinea			Luxembourg
	Average	Male	Female	Average	Male	Female
100	40%	39.9%	40.2%	35.8%	38.2%	35.2%
99	38.5%	38.4%	38.5%	33.4%	35.8%	32.8%
98	36.6%	36.6%	36.6%	31%	33.5%	30.2%
97	35%	35.2%	34.9%	28.6%	31.1%	27.7%
96	33.4%	33.6%	33.3%	26.2%	28.7%	25.3%
95	31.7%	32%	31.5%	23.9%	26.4%	22.9%
94	29.9%	30.3%	29.6%	21.7%	24.1%	20.6%
93	28.2%	28.6%	27.9%	19.6%	22%	18.5%
92	26.5%	27.1%	26.2%	17.7%	20%	16.5%
91	24.7%	25.3%	24.4%	15.8%	18.1%	14.7%
90	23.5%	24.1%	23.1%	14.2%	16.3%	13%
89	21.8%	22.5%	21.4%	12.6%	14.6%	11.5%
88	20.5%	21.1%	20%	11.2%	13%	10.1%
87	19.1%	19.7%	18.6%	9.89%	11.6%	8.85%
86	17.8%	18.5%	17.3%	8.74%	10.3%	7.74%
85	16.4%	17.1%	16%	7.69%	9.1%	6.74%
84	15.2%	16%	14.7%	6.76%	8.02%	5.86%
83	14%	14.7%	13.5%	5.94%	7.04%	5.07%
82	12.9%	13.6%	12.4%	5.17%	6.15%	4.38%
81	11.7%	12.4%	11.2%	4.48%	5.34%	3.76%
80	11%	11.6%	10.4%	3.89%	4.64%	3.24%
79	9.99%	10.6%	9.46%	3.42%	4.08%	2.82%
78	9.23%	9.82%	8.71%	3.02%	3.63%	2.49%
77	8.41%	8.99%	7.9%	2.73%	3.29%	2.23%
76	7.74%	8.3%	7.26%	2.47%	2.99%	2.01%
75	7.11%	7.64%	6.65%	2.26%	2.74%	1.82%
74	6.49%	7.01%	6.04%	2.04%	2.48%	1.62%
73	5.93%	6.43%	5.49%	1.84%	2.27%	1.44%
72	5.43%	5.91%	5.02%	1.65%	2.06%	1.28%
71	4.89%	5.34%	4.49%	1.5%	1.89%	1.14%
70	4.55%	4.97%	4.16%	1.38%	1.74%	1.04%
69	4.1%	4.51%	3.7%	1.27%	1.6%	0.96%
68	3.77%	4.15%	3.38%	1.16%	1.44%	0.88%
67	3.44%	3.81%	3.06%	1.05%	1.3%	0.8%
66	3.15%	3.51%	2.79%	0.95%	1.17%	0.73%
65	2.93%	3.26%	2.57%	0.86%	1.06%	0.66%
64	2.68%	3%	2.34%	0.79%	0.97%	0.6%
63	2.46%	2.77%	2.13%	0.73%	0.9%	0.55%
62	2.27%	2.55%	1.95%	0.67%	0.83%	0.5%
61	2.06%	2.32%	1.76%	0.61%	0.77%	0.44%
60	1.92%	2.17%	1.64%	0.55%	0.7%	0.39%
59	1.74%	1.97%	1.47%	0.5%	0.64%	0.35%
58	1.62%	1.83%	1.36%	0.45%	0.57%	0.32%
57	1.49%	1.69%	1.24%	0.4%	0.51%	0.29%
56	1.39%	1.57%	1.16%	0.36%	0.45%	0.27%
55	1.3%	1.47%	1.07%	0.33%	0.41%	0.25%
54	1.21%	1.37%	1%	0.3%	0.37%	0.23%
53	1.13%	1.28%	0.93%	0.27%	0.34%	0.21%
52	1.06%	1.2%	0.87%	0.25%	0.31%	0.19%
51	0.97%	1.1%	0.8%	0.22%	0.28%	0.17%
50	0.92%	1.04%	0.75%	0.2%	0.25%	0.15%
49	0.84%	0.95%	0.69%	0.18%	0.22%	0.14%
48	0.79%	0.89%	0.65%	0.16%	0.19%	0.13%
47	0.73%	0.82%	0.6%	0.14%	0.17%	0.12%
46	0.68%	0.77%	0.56%	0.13%	0.15%	0.11%
45	0.64%	0.72%	0.53%	0.11%	0.13%	0.1%
44	0.6%	0.67%	0.5%	0.1%	0.11%	0.09%
43	0.57%	0.63%	0.48%	0.09%	0.1%	0.07%
42	0.54%	0.6%	0.45%	0.07%	0.08%	0.07%
41	0.5%	0.56%	0.42%	0.07%	0.08%	0.06%
40	0.48%	0.53%	0.41%	0.06%	0.07%	0.05%
39	0.45%	0.5%	0.38%	0.06%	0.07%	0.05%
38	0.42%	0.47%	0.36%	0.05%	0.07%	0.04%
37	0.4%	0.44%	0.34%	0.05%	0.06%	0.04%
36	0.38%	0.42%	0.32%	0.04%	0.05%	0.04%
35	0.36%	0.4%	0.31%	0.04%	0.04%	0.04%
34	0.34%	0.38%	0.29%	0.04%	0.04%	0.05%
33	0.32%	0.36%	0.27%	0.05%	0.04%	0.05%
32	0.31%	0.35%	0.26%	0.05%	0.04%	0.06%
31	0.29%	0.33%	0.25%	0.05%	0.05%	0.05%
30	0.28%	0.32%	0.24%	0.05%	0.05%	0.05%
29	0.27%	0.31%	0.23%	0.05%	0.05%	0.05%
28	0.26%	0.3%	0.22%	0.04%	0.04%	0.05%
27	0.25%	0.29%	0.21%	0.04%	0.03%	0.05%
26	0.24%	0.28%	0.2%	0.03%	0.03%	0.04%
25	0.24%	0.28%	0.19%	0.03%	0.03%	0.04%
24	0.23%	0.27%	0.18%	0.03%	0.03%	0.03%
23	0.22%	0.27%	0.18%	0.03%	0.03%	0.04%
22	0.22%	0.26%	0.17%	0.04%	0.03%	0.04%
21	0.21%	0.25%	0.16%	0.04%	0.04%	0.04%
20	0.19%	0.23%	0.15%	0.04%	0.04%	0.04%
19	0.18%	0.22%	0.15%	0.04%	0.03%	0.04%
18	0.17%	0.2%	0.14%	0.04%	0.03%	0.04%
17	0.15%	0.18%	0.13%	0.03%	0.02%	0.04%
16	0.14%	0.15%	0.12%	0.03%	0.02%	0.04%
15	0.12%	0.13%	0.11%	0.02%	0.01%	0.03%
14	0.11%	0.12%	0.1%	0.02%	0.009%	0.03%
13	0.1%	0.11%	0.09%	0.02%	0.007%	0.04%
12	0.09%	0.1%	0.09%	0.02%	0.005%	0.04%
11	0.09%	0.1%	0.08%	0.02%	0.004%	0.03%
10	0.1%	0.1%	0.09%	0.01%	0.004%	0.03%
9	0.1%	0.11%	0.09%	0.02%	0.004%	0.03%
8	0.11%	0.12%	0.1%	0.02%	0.004%	0.03%
7	0.13%	0.14%	0.11%	0.01%	0.004%	0.02%
6	0.15%	0.16%	0.13%	0.007%	0.004%	0.01%
5	0.18%	0.19%	0.16%	0.005%	0.005%	0.006%
4	0.23%	0.25%	0.22%	0.007%	0.005%	0.008%
3	0.32%	0.34%	0.3%	0.01%	0.007%	0.02%
2	0.46%	0.49%	0.44%	0.02%	0.01%	0.03%
1	0.76%	0.8%	0.72%	0.04%	0.04%	0.05%
0	4.97%	5.49%	4.45%	0.27%	0.31%	0.23%

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

The annual chance of dying is 4.97% in the birth year in Equatorial Guinea and 0.27% in Luxembourg, 0.28% vs 0.05% at age 30, 1.92% vs 0.55% at 60, and 11% vs 3.89% at 80.

Death rate by age in Equatorial Guinea vs Luxembourg

Chart Table

Equatorial Guinea

Male

Female

Luxembourg

Male

Female

1x

Age	Death rate
	Equatorial Guinea			Luxembourg
	Total	Male	Female	Total	Male	Female
100	0	0	0	612	282.4	887
99	68.2	52.5	85.6	1,074	692	1,408
98	102.3	78.9	128	1,443	970	1,862
97	150.8	116.9	188	1,862	1,308	2,362
96	216	168.5	268.1	2,311	1,696	2,881
95	300	236.2	371	2,774	2,120	3,387
94	404	320	496	3,212	2,554	3,846
93	529	425	646	3,616	2,987	4,236
92	678	550	822	3,956	3,388	4,533
91	841	690	1,012	4,213	3,737	4,726
90	1,044	863	1,249	4,397	4,016	4,811
89	1,240	1,040	1,468	4,488	4,214	4,795
88	1,461	1,239	1,716	4,475	4,327	4,689
87	1,682	1,443	1,958	4,388	4,357	4,508
86	1,906	1,654	2,202	4,245	4,309	4,270
85	2,111	1,853	2,419	4,046	4,194	3,990
84	2,311	2,057	2,621	3,818	4,020	3,682
83	2,466	2,220	2,772	3,562	3,798	3,359
82	2,609	2,375	2,904	3,273	3,535	3,030
81	2,685	2,471	2,956	2,968	3,244	2,707
80	2,820	2,614	3,078	2,684	2,955	2,411
79	2,857	2,677	3,081	2,438	2,709	2,161
78	2,908	2,748	3,108	2,224	2,497	1,953
77	2,893	2,762	3,062	2,065	2,340	1,789
76	2,887	2,781	3,032	1,918	2,192	1,646
75	2,854	2,773	2,974	1,793	2,068	1,516
74	2,787	2,735	2,879	1,649	1,921	1,373
73	2,705	2,680	2,769	1,517	1,799	1,238
72	2,622	2,618	2,661	1,386	1,664	1,111
71	2,482	2,500	2,494	1,280	1,556	1,010
70	2,420	2,451	2,412	1,190	1,457	929
69	2,271	2,326	2,229	1,115	1,363	863
68	2,168	2,237	2,107	1,029	1,247	799
67	2,052	2,134	1,968	941	1,135	735
66	1,942	2,034	1,844	860	1,039	672
65	1,856	1,957	1,743	784	950	611
64	1,748	1,855	1,624	722	878	559
63	1,647	1,758	1,515	675	822	517
62	1,551	1,664	1,415	625	765	471
61	1,435	1,549	1,296	573	711	420
60	1,370	1,481	1,230	521	655	372
59	1,264	1,375	1,120	472	599	333
58	1,189	1,297	1,047	426	538	302
57	1,112	1,216	971	383	481	277.4
56	1,054	1,154	915	344	427	255.7
55	995	1,091	858	316	390	237.8
54	944	1,036	809	289.8	356	219.1
53	890	978	758	265.4	328	199.7
52	843	926	717	242.3	299.7	182.5
51	782	861	660	218.6	269.3	166.3
50	745	821	629	196	239	151
49	690	761	580	175.2	211.6	137.7
48	648	714	546	155	183.9	125.9
47	605	667	510	139	162.1	116
46	570	627	482	125.5	144.2	106.5
45	542	595	460	110.1	124.6	95.1
44	509	558	434	96	108.4	83.5
43	482	527	413	84	94.9	72.9
42	461	503	397	73.7	83.4	63.9
41	430	470	371	67.1	77.1	57
40	414	452	358	62.5	73.9	51
39	388	424	336	57.6	69.9	45.1
38	369	404	320	53.2	65.4	40.7
37	348	382	301	48.6	58.5	38.4
36	331	364	287.2	43.7	49.2	37.9
35	315	347	273	42.3	43.8	40.7
34	298.6	330	259	42.7	40	45.6
33	284.9	316	246.7	46.1	40.4	52.2
32	272.6	303	235.5	48.7	42.1	55.7
31	258.6	288.5	222.6	48.9	44.7	53.2
30	251.6	281.1	216.4	49.7	48.5	51
29	241	270.6	205.9	46.4	44.7	48.3
28	233.5	263.4	198.5	43.5	39.3	48
27	226.2	257	190.2	38.9	32.9	45.4
26	220.1	252.2	182.9	33.5	28.5	38.9
25	214.4	248.1	175.8	31.5	28.3	34.9
24	209.3	244.6	169.2	30.9	27.5	34.5
23	203.3	239.9	162.3	33.4	30	37.1
22	196.5	233.5	155.8	36	33.7	38.5
21	187.9	224.3	149	37	36.4	37.6
20	178.3	212.5	142.7	37	37.5	36.5
19	167.2	197.9	135.3	36.2	33	39.4
18	154.8	181.3	127.5	35.5	27.9	43.3
17	139.7	160.6	118.1	30.8	21.8	40.4
16	125.5	141.2	109.3	25.7	16.5	35.4
15	111	122.7	99	23.2	13.2	33.9
14	100.1	109.7	90.2	21.2	9.46	33.8
13	92	100.1	83.7	21.4	7.12	36.2
12	87.4	94.8	79.8	19.8	5.39	35
11	86	93.2	78.5	15.7	4.17	28.2
10	88.2	95.9	80.2	14.6	3.85	25.9
9	93.4	101.8	84.8	17.2	3.8	31.1
8	102.6	111.3	93.6	18.3	4.12	33.2
7	116.8	126.1	107.2	13.9	4.46	23.5
6	136.7	146.4	126.6	7.42	4.34	10.6
5	165.2	175.6	154.5	5.46	4.64	6.31
4	216.1	228.6	203.1	6.55	4.86	8.31
3	302	320	283.2	12	7.18	17
2	438	462	414	20.4	13	28.1
1	721	757	684	40.7	35.7	46
0	4,972	5,488	4,450	270.7	313	225.8

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 89 in Luxembourg. The median age of death is 71.3 in Equatorial Guinea and 85.7 in Luxembourg, 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 Luxembourg more than their death rates.

Life expectancy in other countries

+ -

1x