Life Expectancy in Guinea vs Switzerland (1950-2026)

Life expectancy by current age

Chart Table

Guinea

Male

Female

Switzerland

Male

Female

1x

Current age, years	Total life expectancy, years
	Guinea			Switzerland
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.8	102	101.9	102
99	100.8	100.7	100.9	101.1	101	101.2
98	99.9	99.8	100	100.3	100.2	100.3
97	99	98.9	99.1	99.5	99.3	99.5
96	98.1	98	98.2	98.7	98.5	98.8
95	97.2	97.1	97.3	97.9	97.7	98
94	96.4	96.2	96.5	97.2	97	97.3
93	95.5	95.3	95.6	96.5	96.2	96.6
92	94.7	94.5	94.8	95.8	95.5	96
91	93.9	93.6	94	95.2	94.8	95.4
90	93.1	92.8	93.2	94.5	94.1	94.8
89	92.3	92	92.4	94	93.5	94.2
88	91.5	91.3	91.7	93.4	92.9	93.7
87	90.7	90.5	90.9	92.9	92.3	93.2
86	90	89.8	90.2	92.4	91.8	92.8
85	89.3	89.1	89.4	91.9	91.3	92.4
84	88.6	88.3	88.7	91.5	90.8	92
83	87.9	87.7	88	91.1	90.4	91.6
82	87.2	87	87.3	90.7	90	91.3
81	86.5	86.3	86.7	90.4	89.6	91
80	85.9	85.7	86	90.1	89.2	90.7
79	85.3	85.1	85.4	89.8	88.9	90.5
78	84.7	84.5	84.8	89.5	88.5	90.2
77	84.1	83.9	84.3	89.2	88.2	90
76	83.6	83.3	83.7	89	87.9	89.8
75	83	82.8	83.2	88.7	87.7	89.6
74	82.5	82.2	82.7	88.5	87.4	89.4
73	82	81.7	82.2	88.3	87.1	89.3
72	81.5	81.2	81.7	88.1	86.9	89.1
71	81.1	80.8	81.3	87.9	86.6	88.9
70	80.6	80.3	80.9	87.7	86.4	88.8
69	80.2	79.9	80.4	87.5	86.2	88.7
68	79.8	79.5	80	87.3	86	88.5
67	79.4	79.1	79.7	87.2	85.8	88.4
66	79	78.7	79.3	87	85.6	88.3
65	78.7	78.3	79	86.9	85.4	88.1
64	78.3	77.9	78.6	86.7	85.3	88
63	78	77.6	78.3	86.6	85.1	87.9
62	77.7	77.2	78	86.5	85	87.8
61	77.4	76.9	77.7	86.3	84.8	87.8
60	77.1	76.6	77.5	86.2	84.7	87.7
59	76.8	76.3	77.2	86.1	84.6	87.6
58	76.6	76	77	86	84.5	87.5
57	76.3	75.8	76.7	85.9	84.4	87.4
56	76.1	75.5	76.5	85.9	84.3	87.4
55	75.8	75.2	76.3	85.8	84.2	87.3
54	75.6	75	76.1	85.7	84.1	87.3
53	75.3	74.7	75.8	85.6	84	87.2
52	75.1	74.5	75.6	85.6	83.9	87.2
51	74.9	74.2	75.4	85.5	83.8	87.1
50	74.7	74	75.2	85.5	83.8	87.1
49	74.5	73.8	75	85.4	83.7	87
48	74.3	73.6	74.8	85.4	83.7	87
47	74.1	73.4	74.7	85.3	83.6	87
46	73.9	73.2	74.5	85.3	83.6	86.9
45	73.7	73	74.3	85.2	83.5	86.9
44	73.5	72.8	74.1	85.2	83.5	86.9
43	73.3	72.6	73.9	85.2	83.5	86.8
42	73.2	72.4	73.8	85.2	83.4	86.8
41	73	72.2	73.6	85.1	83.4	86.8
40	72.8	72.1	73.4	85.1	83.4	86.8
39	72.6	71.9	73.2	85.1	83.3	86.8
38	72.4	71.7	73.1	85.1	83.3	86.7
37	72.3	71.5	72.9	85	83.3	86.7
36	72.1	71.4	72.7	85	83.3	86.7
35	71.9	71.2	72.6	85	83.2	86.7
34	71.8	71	72.4	85	83.2	86.7
33	71.6	70.8	72.2	85	83.2	86.7
32	71.4	70.7	72.1	84.9	83.2	86.7
31	71.3	70.5	71.9	84.9	83.1	86.7
30	71.1	70.3	71.8	84.9	83.1	86.6
29	70.9	70.1	71.6	84.9	83.1	86.6
28	70.8	70	71.4	84.9	83.1	86.6
27	70.6	69.8	71.3	84.9	83.1	86.6
26	70.4	69.6	71.1	84.9	83	86.6
25	70.2	69.4	71	84.8	83	86.6
24	70.1	69.2	70.8	84.8	83	86.6
23	69.9	69	70.7	84.8	83	86.6
22	69.7	68.8	70.5	84.8	83	86.6
21	69.6	68.7	70.4	84.8	82.9	86.6
20	69.4	68.5	70.2	84.8	82.9	86.6
19	69.2	68.3	70.1	84.7	82.9	86.5
18	69.1	68.1	70	84.7	82.9	86.5
17	69	68	69.8	84.7	82.8	86.5
16	68.8	67.9	69.7	84.7	82.8	86.5
15	68.7	67.8	69.6	84.7	82.8	86.5
14	68.6	67.7	69.5	84.7	82.8	86.5
13	68.5	67.6	69.4	84.7	82.8	86.5
12	68.4	67.5	69.3	84.7	82.8	86.5
11	68.3	67.4	69.1	84.7	82.8	86.5
10	68.2	67.2	69	84.7	82.8	86.5
9	68	67.1	68.9	84.7	82.8	86.5
8	67.9	67	68.7	84.7	82.8	86.5
7	67.7	66.8	68.5	84.7	82.8	86.5
6	67.5	66.5	68.3	84.7	82.8	86.5
5	67.2	66.3	68	84.7	82.8	86.5
4	66.8	65.9	67.6	84.7	82.8	86.5
3	66.4	65.5	67.2	84.6	82.8	86.5
2	65.9	65	66.8	84.6	82.8	86.5
1	65.3	64.4	66.2	84.6	82.7	86.4
0	61.2	59.9	62.4	84.4	82.5	86.2

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 Guinea can expect to live to 71.1 years compared to 84.9 in Switzerland, rising to 78.7 and 86.9 at 65, and to 85.9 and 90.1 at 80 — higher than the 61.2 and 84.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Guinea

Male

Female

Switzerland

Male

Female

1x

Age	Survival probability
	Guinea			Switzerland
	Average	Male	Female	Average	Male	Female
100	0.09%	0.05%	0.12%	2.59%	1.52%	3.5%
99	0.15%	0.09%	0.2%	3.94%	2.39%	5.27%
98	0.24%	0.15%	0.32%	5.76%	3.62%	7.62%
97	0.39%	0.25%	0.51%	8.1%	5.27%	10.6%
96	0.6%	0.4%	0.77%	11%	7.39%	14.2%
95	0.91%	0.63%	1.14%	14.4%	9.99%	18.3%
94	1.32%	0.95%	1.63%	18.3%	13.1%	23%
93	1.87%	1.41%	2.26%	22.6%	16.6%	28.1%
92	2.58%	2.02%	3.06%	27.2%	20.7%	33.3%
91	3.47%	2.81%	4.03%	32.1%	25%	38.6%
90	4.56%	3.8%	5.21%	37%	29.6%	43.9%
89	5.86%	4.99%	6.6%	41.8%	34.3%	49%
88	7.37%	6.38%	8.21%	46.6%	38.9%	53.9%
87	9.09%	7.98%	10%	51.1%	43.5%	58.5%
86	11%	9.77%	12.1%	55.4%	47.9%	62.6%
85	13.2%	11.7%	14.4%	59.3%	52.1%	66.4%
84	15.5%	13.9%	16.8%	63%	56%	69.8%
83	17.9%	16.2%	19.5%	66.3%	59.6%	72.8%
82	20.5%	18.6%	22.2%	69.3%	62.9%	75.5%
81	23.2%	21.2%	25%	72%	66%	77.9%
80	26%	23.8%	27.8%	74.4%	68.8%	79.9%
79	28.7%	26.4%	30.7%	76.6%	71.3%	81.8%
78	31.5%	29.1%	33.5%	78.5%	73.6%	83.4%
77	34.2%	31.8%	36.3%	80.3%	75.7%	84.9%
76	36.9%	34.4%	39.1%	81.9%	77.6%	86.2%
75	39.5%	37%	41.7%	83.4%	79.4%	87.4%
74	42%	39.5%	44.3%	84.7%	81.1%	88.5%
73	44.5%	41.9%	46.8%	86%	82.6%	89.5%
72	46.9%	44.3%	49.2%	87.2%	84%	90.4%
71	49.1%	46.5%	51.5%	88.2%	85.3%	91.2%
70	51.3%	48.7%	53.6%	89.2%	86.5%	91.9%
69	53.3%	50.7%	55.7%	90.1%	87.6%	92.6%
68	55.2%	52.6%	57.5%	90.9%	88.6%	93.2%
67	57%	54.5%	59.3%	91.7%	89.6%	93.8%
66	58.7%	56.2%	61%	92.4%	90.5%	94.3%
65	60.3%	57.9%	62.5%	93%	91.3%	94.8%
64	61.8%	59.5%	64%	93.6%	92.1%	95.2%
63	63.2%	61%	65.3%	94.2%	92.7%	95.6%
62	64.5%	62.4%	66.6%	94.7%	93.4%	96%
61	65.8%	63.7%	67.8%	95.1%	93.9%	96.3%
60	66.9%	64.9%	68.8%	95.5%	94.4%	96.6%
59	67.9%	66%	69.8%	95.9%	94.9%	96.9%
58	68.9%	67%	70.8%	96.2%	95.3%	97.1%
57	69.9%	68%	71.6%	96.5%	95.7%	97.4%
56	70.7%	69%	72.5%	96.8%	96%	97.6%
55	71.6%	69.9%	73.3%	97%	96.3%	97.8%
54	72.4%	70.8%	74%	97.3%	96.6%	97.9%
53	73.2%	71.6%	74.7%	97.5%	96.9%	98.1%
52	73.9%	72.4%	75.4%	97.7%	97.1%	98.2%
51	74.6%	73.2%	76.1%	97.8%	97.3%	98.4%
50	75.3%	73.9%	76.7%	98%	97.5%	98.5%
49	75.9%	74.6%	77.3%	98.1%	97.7%	98.6%
48	76.5%	75.2%	77.8%	98.2%	97.8%	98.7%
47	77%	75.8%	78.3%	98.3%	97.9%	98.8%
46	77.6%	76.3%	78.8%	98.4%	98.1%	98.8%
45	78.1%	76.9%	79.3%	98.5%	98.2%	98.9%
44	78.6%	77.4%	79.8%	98.6%	98.3%	99%
43	79.1%	77.9%	80.3%	98.7%	98.4%	99%
42	79.6%	78.4%	80.8%	98.8%	98.5%	99.1%
41	80%	78.9%	81.2%	98.8%	98.5%	99.1%
40	80.5%	79.3%	81.7%	98.9%	98.6%	99.2%
39	80.9%	79.8%	82.1%	98.9%	98.7%	99.2%
38	81.3%	80.2%	82.5%	99%	98.7%	99.2%
37	81.7%	80.6%	82.9%	99%	98.8%	99.3%
36	82.1%	81%	83.2%	99.1%	98.8%	99.3%
35	82.5%	81.4%	83.6%	99.1%	98.9%	99.3%
34	82.8%	81.8%	83.9%	99.1%	98.9%	99.3%
33	83.2%	82.2%	84.3%	99.2%	99%	99.4%
32	83.6%	82.5%	84.6%	99.2%	99%	99.4%
31	83.9%	82.9%	85%	99.2%	99%	99.4%
30	84.3%	83.3%	85.3%	99.3%	99.1%	99.4%
29	84.6%	83.6%	85.6%	99.3%	99.1%	99.5%
28	85%	84%	86%	99.3%	99.2%	99.5%
27	85.3%	84.3%	86.3%	99.3%	99.2%	99.5%
26	85.6%	84.7%	86.6%	99.4%	99.2%	99.5%
25	85.9%	85%	86.9%	99.4%	99.3%	99.5%
24	86.3%	85.4%	87.1%	99.4%	99.3%	99.5%
23	86.6%	85.8%	87.4%	99.4%	99.3%	99.5%
22	86.9%	86.1%	87.7%	99.5%	99.4%	99.6%
21	87.2%	86.5%	87.9%	99.5%	99.4%	99.6%
20	87.5%	86.8%	88.2%	99.5%	99.5%	99.6%
19	87.8%	87.1%	88.4%	99.5%	99.5%	99.6%
18	88%	87.4%	88.7%	99.6%	99.5%	99.6%
17	88.2%	87.6%	88.9%	99.6%	99.5%	99.6%
16	88.5%	87.8%	89.1%	99.6%	99.6%	99.6%
15	88.6%	88%	89.3%	99.6%	99.6%	99.6%
14	88.8%	88.2%	89.5%	99.6%	99.6%	99.6%
13	89%	88.4%	89.6%	99.6%	99.6%	99.6%
12	89.2%	88.5%	89.8%	99.6%	99.6%	99.6%
11	89.3%	88.7%	90%	99.6%	99.6%	99.6%
10	89.5%	88.9%	90.2%	99.6%	99.6%	99.7%
9	89.7%	89.1%	90.4%	99.6%	99.6%	99.7%
8	90%	89.3%	90.7%	99.6%	99.6%	99.7%
7	90.3%	89.6%	91%	99.6%	99.6%	99.7%
6	90.6%	89.9%	91.3%	99.6%	99.6%	99.7%
5	91%	90.3%	91.7%	99.7%	99.6%	99.7%
4	91.5%	90.8%	92.2%	99.7%	99.6%	99.7%
3	92.1%	91.4%	92.8%	99.7%	99.6%	99.7%
2	92.8%	92.2%	93.5%	99.7%	99.7%	99.7%
1	93.7%	93.1%	94.3%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 66.9% of newborns in Guinea and 95.5% in Switzerland are expected to live past 60, 51.3% and 89.2% past 70, 26% and 74.4% past 80, and only 4.56% and 37% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Guinea

Male

Female

Switzerland

Male

Female

1x

Age	Probability of dying
	Guinea			Switzerland
	Average	Male	Female	Average	Male	Female
100	43.1%	45.9%	42.3%	37%	39.1%	36.3%
99	41.1%	44%	40.2%	34.3%	36.4%	33.7%
98	39.3%	42%	38.4%	31.6%	33.9%	30.8%
97	37.4%	40%	36.4%	28.9%	31.4%	28%
96	35.5%	38.1%	34.4%	26.2%	28.7%	25.3%
95	33.5%	36.2%	32.3%	23.7%	26%	22.7%
94	31.4%	34.2%	30.1%	21.3%	23.6%	20.3%
93	29.4%	32.3%	28%	19.1%	21.4%	18%
92	27.5%	30.2%	26%	17%	19.5%	15.8%
91	25.6%	28.1%	24.2%	15.1%	17.5%	13.8%
90	23.8%	26%	22.6%	13.3%	15.5%	12%
89	22.1%	23.9%	21%	11.6%	13.6%	10.5%
88	20.5%	21.9%	19.6%	10.2%	11.9%	9.08%
87	19%	20%	18.3%	8.86%	10.5%	7.78%
86	17.5%	18.3%	17%	7.67%	9.2%	6.62%
85	16.2%	16.8%	15.8%	6.66%	8.02%	5.68%
84	15%	15.5%	14.6%	5.78%	6.96%	4.88%
83	13.8%	14.2%	13.4%	5%	6.05%	4.18%
82	12.6%	13.1%	12.3%	4.31%	5.27%	3.56%
81	11.5%	12%	11.2%	3.75%	4.64%	3.02%
80	10.5%	11%	10.2%	3.26%	4.07%	2.58%
79	9.6%	10%	9.3%	2.84%	3.56%	2.24%
78	8.74%	9.15%	8.46%	2.49%	3.12%	1.96%
77	7.97%	8.36%	7.7%	2.2%	2.76%	1.73%
76	7.27%	7.63%	7.02%	1.97%	2.47%	1.53%
75	6.64%	6.97%	6.41%	1.78%	2.24%	1.37%
74	6.07%	6.37%	5.85%	1.61%	2.05%	1.22%
73	5.54%	5.82%	5.34%	1.46%	1.87%	1.1%
72	5.05%	5.31%	4.86%	1.33%	1.7%	1%
71	4.59%	4.84%	4.41%	1.2%	1.53%	0.9%
70	4.18%	4.41%	4%	1.08%	1.37%	0.8%
69	3.8%	4.03%	3.63%	0.97%	1.24%	0.72%
68	3.46%	3.69%	3.29%	0.9%	1.16%	0.65%
67	3.16%	3.39%	2.99%	0.84%	1.08%	0.61%
66	2.9%	3.12%	2.73%	0.77%	0.98%	0.57%
65	2.66%	2.88%	2.49%	0.71%	0.89%	0.53%
64	2.44%	2.65%	2.27%	0.64%	0.82%	0.46%
63	2.23%	2.44%	2.07%	0.57%	0.74%	0.41%
62	2.04%	2.23%	1.88%	0.52%	0.66%	0.37%
61	1.86%	2.03%	1.71%	0.47%	0.6%	0.34%
60	1.69%	1.85%	1.56%	0.43%	0.54%	0.31%
59	1.55%	1.69%	1.42%	0.38%	0.47%	0.29%
58	1.43%	1.56%	1.31%	0.34%	0.42%	0.26%
57	1.33%	1.46%	1.22%	0.31%	0.39%	0.23%
56	1.25%	1.38%	1.15%	0.29%	0.36%	0.21%
55	1.19%	1.31%	1.09%	0.26%	0.33%	0.2%
54	1.13%	1.25%	1.03%	0.24%	0.29%	0.18%
53	1.07%	1.19%	0.97%	0.21%	0.26%	0.16%
52	1.01%	1.12%	0.92%	0.19%	0.23%	0.14%
51	0.94%	1.04%	0.86%	0.17%	0.21%	0.13%
50	0.87%	0.97%	0.8%	0.16%	0.19%	0.12%
49	0.81%	0.89%	0.74%	0.14%	0.17%	0.11%
48	0.76%	0.83%	0.7%	0.12%	0.15%	0.1%
47	0.71%	0.77%	0.66%	0.11%	0.14%	0.08%
46	0.68%	0.73%	0.64%	0.1%	0.13%	0.08%
45	0.66%	0.7%	0.62%	0.09%	0.12%	0.07%
44	0.64%	0.68%	0.61%	0.08%	0.1%	0.07%
43	0.62%	0.65%	0.6%	0.08%	0.09%	0.06%
42	0.6%	0.63%	0.58%	0.07%	0.09%	0.05%
41	0.58%	0.6%	0.56%	0.06%	0.08%	0.04%
40	0.56%	0.57%	0.54%	0.05%	0.07%	0.04%
39	0.53%	0.55%	0.51%	0.05%	0.07%	0.03%
38	0.51%	0.52%	0.49%	0.05%	0.06%	0.03%
37	0.49%	0.51%	0.47%	0.04%	0.06%	0.03%
36	0.47%	0.49%	0.45%	0.04%	0.05%	0.03%
35	0.46%	0.48%	0.43%	0.04%	0.05%	0.03%
34	0.45%	0.47%	0.42%	0.03%	0.05%	0.02%
33	0.44%	0.46%	0.41%	0.03%	0.04%	0.02%
32	0.43%	0.46%	0.41%	0.03%	0.04%	0.02%
31	0.42%	0.45%	0.4%	0.03%	0.04%	0.02%
30	0.41%	0.44%	0.39%	0.03%	0.04%	0.02%
29	0.41%	0.43%	0.38%	0.03%	0.04%	0.02%
28	0.4%	0.42%	0.37%	0.03%	0.04%	0.02%
27	0.39%	0.42%	0.36%	0.03%	0.04%	0.01%
26	0.38%	0.42%	0.35%	0.03%	0.04%	0.01%
25	0.38%	0.42%	0.34%	0.03%	0.04%	0.01%
24	0.37%	0.42%	0.32%	0.03%	0.04%	0.02%
23	0.37%	0.42%	0.31%	0.03%	0.04%	0.02%
22	0.36%	0.41%	0.31%	0.03%	0.04%	0.01%
21	0.35%	0.4%	0.3%	0.02%	0.04%	0.008%
20	0.33%	0.38%	0.29%	0.02%	0.04%	0.009%
19	0.31%	0.35%	0.28%	0.02%	0.03%	0.01%
18	0.29%	0.31%	0.26%	0.02%	0.03%	0.01%
17	0.26%	0.28%	0.25%	0.02%	0.02%	0.01%
16	0.24%	0.25%	0.23%	0.01%	0.02%	0.008%
15	0.22%	0.22%	0.21%	0.01%	0.01%	0.007%
14	0.2%	0.2%	0.2%	0.009%	0.01%	0.007%
13	0.19%	0.18%	0.19%	0.007%	0.008%	0.007%
12	0.19%	0.18%	0.19%	0.006%	0.006%	0.006%
11	0.19%	0.18%	0.2%	0.005%	0.005%	0.006%
10	0.21%	0.2%	0.22%	0.005%	0.004%	0.005%
9	0.23%	0.22%	0.24%	0.005%	0.005%	0.004%
8	0.27%	0.26%	0.28%	0.005%	0.005%	0.005%
7	0.32%	0.31%	0.33%	0.005%	0.005%	0.005%
6	0.38%	0.38%	0.38%	0.005%	0.005%	0.005%
5	0.45%	0.46%	0.45%	0.005%	0.006%	0.004%
4	0.54%	0.55%	0.53%	0.006%	0.007%	0.004%
3	0.65%	0.67%	0.62%	0.007%	0.008%	0.005%
2	0.77%	0.82%	0.73%	0.008%	0.008%	0.007%
1	0.92%	0.99%	0.85%	0.02%	0.02%	0.02%
0	6.31%	6.88%	5.72%	0.3%	0.32%	0.28%

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

The annual chance of dying is 6.31% in the birth year in Guinea and 0.3% in Switzerland, 0.41% vs 0.03% at age 30, 1.69% vs 0.43% at 60, and 10.5% vs 3.26% at 80.

Death rate by age in Guinea vs Switzerland

Chart Table

Guinea

Male

Female

Switzerland

Male

Female

1x

Age	Death rate
	Guinea			Switzerland
	Total	Male	Female	Total	Male	Female
100	0	0	0	811	392	1,166
99	60.7	38	79.6	1,351	871	1,775
98	95.7	62.5	123.3	1,820	1,226	2,350
97	145.7	99.3	184.2	2,344	1,656	2,970
96	213.9	152.6	265	2,881	2,120	3,585
95	303	227	367	3,402	2,594	4,160
94	416	327	490	3,893	3,081	4,667
93	552	455	633	4,317	3,568	5,050
92	711	611	796	4,634	4,025	5,255
91	891	790	977	4,836	4,388	5,312
90	1,087	986	1,175	4,910	4,590	5,271
89	1,296	1,190	1,388	4,875	4,659	5,136
88	1,510	1,395	1,611	4,748	4,648	4,894
87	1,725	1,596	1,839	4,529	4,563	4,549
86	1,935	1,791	2,062	4,245	4,408	4,146
85	2,134	1,977	2,272	3,949	4,181	3,771
84	2,314	2,150	2,458	3,638	3,899	3,407
83	2,469	2,306	2,613	3,312	3,604	3,047
82	2,592	2,438	2,730	2,988	3,315	2,686
81	2,680	2,540	2,807	2,697	3,059	2,351
80	2,734	2,611	2,847	2,424	2,802	2,060
79	2,756	2,652	2,854	2,175	2,539	1,829
78	2,751	2,665	2,835	1,958	2,296	1,639
77	2,725	2,654	2,796	1,770	2,088	1,469
76	2,682	2,625	2,742	1,613	1,919	1,321
75	2,624	2,578	2,675	1,482	1,780	1,195
74	2,552	2,516	2,594	1,364	1,658	1,083
73	2,465	2,439	2,499	1,260	1,546	986
72	2,366	2,349	2,391	1,160	1,430	899
71	2,256	2,250	2,272	1,061	1,310	818
70	2,141	2,146	2,146	962	1,187	736
69	2,024	2,042	2,018	877	1,088	663
68	1,911	1,941	1,893	819	1,026	607
67	1,803	1,845	1,774	770	968	568
66	1,702	1,755	1,662	715	888	539
65	1,604	1,667	1,556	657	812	500
64	1,508	1,578	1,453	598	752	439
63	1,412	1,485	1,352	540	684	391
62	1,315	1,390	1,254	490	619	356
61	1,220	1,293	1,159	449	566	326
60	1,130	1,201	1,071	409	512	301
59	1,050	1,118	993	366	450	278.7
58	983	1,049	928	328	400	254.4
57	928	994	874	299.8	371	227
56	886	951	831	277.6	348	205.6
55	851	918	795	257.1	318	194.8
54	818	886	762	233.1	284.3	180.9
53	784	852	728	205.5	252.9	157.2
52	745	811	691	182.7	227.9	136.6
51	702	764	651	166.4	207.7	124.2
50	657	713	610	153.6	188.4	118.4
49	614	664	573	139.6	168.2	110.6
48	578	621	542	122.7	148.4	96.4
47	549	585	519	107.9	132.7	82.6
46	528	558	503	99.2	123.3	74.6
45	514	538	493	92.2	114.1	69.7
44	503	523	486	83.3	101.5	64.7
43	493	508	479	74.9	91.8	57.5
42	480	492	469	67.9	86.6	48.7
41	465	475	455	59.7	75.9	43.1
40	447	456	438	53.2	67.1	39
39	428	437	420	49.9	65.1	34.3
38	411	421	402	47.4	62.9	31.4
37	396	407	386	43.3	54.8	31.6
36	385	397	373	39.3	47.2	31.1
35	377	390	363	36.1	44.5	27.4
34	370	385	355	34.4	44.5	23.9
33	365	381	349	33.9	44.3	23.1
32	360	376	344	32.3	41.8	22.5
31	355	371	339	29.2	37.4	20.6
30	349	365	333	28.2	35.8	20.2
29	343	359	326	27.8	36.1	19.1
28	337	356	318	26.1	36.1	15.4
27	332	354	310	25	36.6	12.6
26	328	355	301	26	38.4	12.5
25	325	357	291.4	27.5	39.6	14.5
24	322	359	282.7	28	38.3	17
23	317	358	274.8	27.1	37.2	16.4
22	312	354	267.8	25.4	38.5	11.5
21	303	343	261.2	24.5	39.8	8.4
20	290.5	326	253.9	24	38.2	8.96
19	274.2	302	244.9	23.5	34.5	11.8
18	254.5	274.7	233.5	21.7	29.1	13.8
17	232.6	245.2	219.4	17	22.5	11.2
16	210.8	217	204.4	12.5	16.6	8.23
15	191.4	192.7	190	10.1	12.7	7.44
14	176.5	174.3	178.8	8.64	9.9	7.31
13	167.7	163.1	172.4	7.36	7.93	6.76
12	165.7	159.4	172.3	6.05	6.11	5.98
11	171.6	164	179.6	5.04	4.6	5.51
10	185.9	177.3	195	4.54	4.09	5.02
9	209.6	200.3	219.4	4.56	4.64	4.48
8	243.5	234	253.4	4.69	4.68	4.71
7	288.2	279.6	297.3	4.74	4.51	4.98
6	345	339	351	4.82	5.05	4.58
5	414	412	415	5.21	6.16	4.2
4	497	504	491	5.93	7.31	4.48
3	598	616	579	6.53	7.74	5.26
2	719	754	682	7.66	8.22	7.07
1	867	925	805	22.5	22.6	22.4
0	6,306	6,878	5,716	303	322	283.2

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 Guinea, the most common age of death is 0, compared to 90 in Switzerland. The median age of death is 70.6 in Guinea and 87.2 in Switzerland, 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 Guinea and Switzerland more than their death rates.

Life expectancy in other countries

+ -

1x