Life Expectancy in Guinea vs Liechtenstein (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 Guinea vs Liechtenstein: 71.1 years vs 84.8 at 30, 78.7 vs 86.5 at 65, 85.9 vs 90.2 at 80 — significantly higher than the 61.2 vs 84.1 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Guinea and Liechtenstein.

Table

Current age, years	Total life expectancy, years
	Guinea			Liechtenstein
	Average	Male	Female	Average	Male	Female
0	61.2	59.9	62.4	84.1	82.4	85.6
1	65.3	64.4	66.2	84.5	82.8	86.1
2	65.9	65	66.8	84.5	82.8	86.1
3	66.4	65.5	67.2	84.6	82.9	86.2
4	66.8	65.9	67.6	84.6	82.9	86.2
5	67.2	66.3	68	84.6	82.9	86.2
6	67.5	66.5	68.3	84.6	82.9	86.2
7	67.7	66.8	68.5	84.6	82.9	86.2
8	67.9	67	68.7	84.6	82.9	86.2
9	68	67.1	68.9	84.6	82.9	86.2
10	68.2	67.2	69	84.6	82.9	86.2
11	68.3	67.4	69.1	84.6	82.9	86.2
12	68.4	67.5	69.3	84.6	82.9	86.2
13	68.5	67.6	69.4	84.6	82.9	86.2
14	68.6	67.7	69.5	84.6	82.9	86.3
15	68.7	67.8	69.6	84.6	83	86.3
16	68.8	67.9	69.7	84.7	83	86.3
17	69	68	69.8	84.7	83	86.3
18	69.1	68.1	70	84.7	83	86.3
19	69.2	68.3	70.1	84.7	83	86.3
20	69.4	68.5	70.2	84.7	83	86.3
21	69.6	68.7	70.4	84.7	83	86.3
22	69.7	68.8	70.5	84.7	83	86.3
23	69.9	69	70.7	84.7	83.1	86.3
24	70.1	69.2	70.8	84.8	83.1	86.4
25	70.2	69.4	71	84.8	83.1	86.4
26	70.4	69.6	71.1	84.8	83.1	86.4
27	70.6	69.8	71.3	84.8	83.1	86.4
28	70.8	70	71.4	84.8	83.1	86.4
29	70.9	70.1	71.6	84.8	83.1	86.4
30	71.1	70.3	71.8	84.8	83.1	86.4
31	71.3	70.5	71.9	84.8	83.2	86.4
32	71.4	70.7	72.1	84.9	83.2	86.5
33	71.6	70.8	72.2	84.9	83.2	86.5
34	71.8	71	72.4	84.9	83.2	86.5
35	71.9	71.2	72.6	84.9	83.2	86.5
36	72.1	71.4	72.7	84.9	83.2	86.5
37	72.3	71.5	72.9	84.9	83.2	86.5
38	72.4	71.7	73.1	85	83.3	86.6
39	72.6	71.9	73.2	85	83.3	86.6
40	72.8	72.1	73.4	85	83.3	86.6
41	73	72.2	73.6	85	83.3	86.6
42	73.2	72.4	73.8	85	83.3	86.6
43	73.3	72.6	73.9	85.1	83.4	86.7
44	73.5	72.8	74.1	85.1	83.4	86.7
45	73.7	73	74.3	85.1	83.4	86.7
46	73.9	73.2	74.5	85.1	83.4	86.7
47	74.1	73.4	74.7	85.2	83.5	86.8
48	74.3	73.6	74.8	85.2	83.5	86.8
49	74.5	73.8	75	85.2	83.6	86.8
50	74.7	74	75.2	85.3	83.6	86.9
51	74.9	74.2	75.4	85.3	83.7	86.9
52	75.1	74.5	75.6	85.4	83.7	87
53	75.3	74.7	75.8	85.4	83.8	87
54	75.6	75	76.1	85.5	83.8	87.1
55	75.8	75.2	76.3	85.5	83.9	87.1
56	76.1	75.5	76.5	85.6	84	87.2
57	76.3	75.8	76.7	85.7	84.1	87.2
58	76.6	76	77	85.8	84.2	87.3
59	76.8	76.3	77.2	85.9	84.3	87.3
60	77.1	76.6	77.5	85.9	84.4	87.4
61	77.4	76.9	77.7	86	84.5	87.5
62	77.7	77.2	78	86.1	84.6	87.6
63	78	77.6	78.3	86.2	84.7	87.6
64	78.3	77.9	78.6	86.4	84.9	87.7
65	78.7	78.3	79	86.5	85	87.8
66	79	78.7	79.3	86.6	85.2	87.9
67	79.4	79.1	79.7	86.8	85.4	88
68	79.8	79.5	80	86.9	85.6	88.2
69	80.2	79.9	80.4	87.1	85.8	88.3
70	80.6	80.3	80.9	87.3	86	88.5
71	81.1	80.8	81.3	87.5	86.2	88.6
72	81.5	81.2	81.7	87.7	86.5	88.8
73	82	81.7	82.2	88	86.8	89
74	82.5	82.2	82.7	88.2	87	89.2
75	83	82.8	83.2	88.5	87.3	89.5
76	83.6	83.3	83.7	88.8	87.7	89.7
77	84.1	83.9	84.3	89.1	88	90
78	84.7	84.5	84.8	89.4	88.4	90.3
79	85.3	85.1	85.4	89.8	88.8	90.6
80	85.9	85.7	86	90.2	89.2	90.9
81	86.5	86.3	86.7	90.6	89.6	91.3
82	87.2	87	87.3	91	90.1	91.7
83	87.9	87.7	88	91.5	90.5	92.1
84	88.6	88.3	88.7	92	91.1	92.6
85	89.3	89.1	89.4	92.5	91.6	93
86	90	89.8	90.2	93	92.2	93.5
87	90.7	90.5	90.9	93.6	92.7	94.1
88	91.5	91.3	91.7	94.2	93.3	94.6
89	92.3	92	92.4	94.8	94	95.2
90	93.1	92.8	93.2	95.4	94.6	95.8
91	93.9	93.6	94	96	95.3	96.4
92	94.7	94.5	94.8	96.7	96	97
93	95.5	95.3	95.6	97.4	96.7	97.7
94	96.4	96.2	96.5	98.1	97.5	98.3
95	97.2	97.1	97.3	98.8	98.2	99.1
96	98.1	98	98.2	99.6	99	99.8
97	99	98.9	99.1	100.4	99.8	100.5
98	99.9	99.8	100	101.2	100.6	101.3
99	100.8	100.7	100.9	102	101.5	102.1
100	101.8	101.7	101.8	102.8	102.3	102.9

Odds of living to age in Guinea vs Liechtenstein

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 66.9% in Guinea and 95.8% in Liechtenstein are expected to survive till at least 60 years old, 51.3% and 89.7% will live to 70 years or older, 26% and 71.8% to 80+ years, and 4.56% and 34.6% 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
	Guinea			Liechtenstein
	Average	Male	Female	Average	Male	Female
1	93.7%	93.1%	94.3%	99.5%	99.5%	99.5%
2	92.8%	92.2%	93.5%	99.4%	99.5%	99.4%
3	92.1%	91.4%	92.8%	99.4%	99.4%	99.4%
4	91.5%	90.8%	92.2%	99.4%	99.4%	99.4%
5	91%	90.3%	91.7%	99.4%	99.4%	99.4%
6	90.6%	89.9%	91.3%	99.4%	99.4%	99.3%
7	90.3%	89.6%	91%	99.4%	99.4%	99.3%
8	90%	89.3%	90.7%	99.3%	99.4%	99.3%
9	89.7%	89.1%	90.4%	99.3%	99.4%	99.3%
10	89.5%	88.9%	90.2%	99.3%	99.4%	99.3%
11	89.3%	88.7%	90%	99.3%	99.3%	99.3%
12	89.2%	88.5%	89.8%	99.3%	99.3%	99.3%
13	89%	88.4%	89.6%	99.3%	99.3%	99.3%
14	88.8%	88.2%	89.5%	99.3%	99.3%	99.3%
15	88.6%	88%	89.3%	99.3%	99.3%	99.3%
16	88.5%	87.8%	89.1%	99.3%	99.3%	99.3%
17	88.2%	87.6%	88.9%	99.3%	99.3%	99.2%
18	88%	87.4%	88.7%	99.2%	99.3%	99.2%
19	87.8%	87.1%	88.4%	99.2%	99.2%	99.2%
20	87.5%	86.8%	88.2%	99.2%	99.2%	99.2%
21	87.2%	86.5%	87.9%	99.2%	99.2%	99.2%
22	86.9%	86.1%	87.7%	99.2%	99.2%	99.2%
23	86.6%	85.8%	87.4%	99.1%	99.1%	99.1%
24	86.3%	85.4%	87.1%	99.1%	99.1%	99.1%
25	85.9%	85%	86.9%	99.1%	99.1%	99.1%
26	85.6%	84.7%	86.6%	99.1%	99.1%	99.1%
27	85.3%	84.3%	86.3%	99.1%	99.1%	99.1%
28	85%	84%	86%	99%	99%	99%
29	84.6%	83.6%	85.6%	99%	99%	99%
30	84.3%	83.3%	85.3%	99%	99%	99%
31	83.9%	82.9%	85%	99%	99%	99%
32	83.6%	82.5%	84.6%	98.9%	98.9%	98.9%
33	83.2%	82.2%	84.3%	98.9%	98.9%	98.9%
34	82.8%	81.8%	83.9%	98.9%	98.9%	98.9%
35	82.5%	81.4%	83.6%	98.9%	98.9%	98.9%
36	82.1%	81%	83.2%	98.8%	98.8%	98.8%
37	81.7%	80.6%	82.9%	98.8%	98.8%	98.8%
38	81.3%	80.2%	82.5%	98.8%	98.8%	98.8%
39	80.9%	79.8%	82.1%	98.7%	98.7%	98.7%
40	80.5%	79.3%	81.7%	98.7%	98.7%	98.7%
41	80%	78.9%	81.2%	98.6%	98.6%	98.6%
42	79.6%	78.4%	80.8%	98.6%	98.6%	98.6%
43	79.1%	77.9%	80.3%	98.5%	98.5%	98.5%
44	78.6%	77.4%	79.8%	98.5%	98.5%	98.5%
45	78.1%	76.9%	79.3%	98.4%	98.4%	98.4%
46	77.6%	76.3%	78.8%	98.3%	98.3%	98.3%
47	77%	75.8%	78.3%	98.2%	98.2%	98.3%
48	76.5%	75.2%	77.8%	98.2%	98.1%	98.2%
49	75.9%	74.6%	77.3%	98%	98%	98.1%
50	75.3%	73.9%	76.7%	97.9%	97.9%	98%
51	74.6%	73.2%	76.1%	97.8%	97.7%	97.9%
52	73.9%	72.4%	75.4%	97.7%	97.6%	97.8%
53	73.2%	71.6%	74.7%	97.5%	97.4%	97.6%
54	72.4%	70.8%	74%	97.3%	97.2%	97.5%
55	71.6%	69.9%	73.3%	97.2%	96.9%	97.4%
56	70.7%	69%	72.5%	96.9%	96.7%	97.2%
57	69.9%	68%	71.6%	96.7%	96.4%	97%
58	68.9%	67%	70.8%	96.4%	96%	96.8%
59	67.9%	66%	69.8%	96.1%	95.7%	96.6%
60	66.9%	64.9%	68.8%	95.8%	95.2%	96.4%
61	65.8%	63.7%	67.8%	95.4%	94.8%	96.1%
62	64.5%	62.4%	66.6%	95.1%	94.3%	95.8%
63	63.2%	61%	65.3%	94.6%	93.7%	95.5%
64	61.8%	59.5%	64%	94.2%	93.1%	95.2%
65	60.3%	57.9%	62.5%	93.6%	92.4%	94.8%
66	58.7%	56.2%	61%	93%	91.7%	94.3%
67	57%	54.5%	59.3%	92.3%	90.8%	93.8%
68	55.2%	52.6%	57.5%	91.6%	89.9%	93.2%
69	53.3%	50.7%	55.7%	90.7%	88.8%	92.6%
70	51.3%	48.7%	53.6%	89.7%	87.6%	91.8%
71	49.1%	46.5%	51.5%	88.6%	86.2%	91%
72	46.9%	44.3%	49.2%	87.4%	84.8%	90%
73	44.5%	41.9%	46.8%	86.1%	83.2%	88.9%
74	42%	39.5%	44.3%	84.6%	81.4%	87.7%
75	39.5%	37%	41.7%	83%	79.4%	86.4%
76	36.9%	34.4%	39.1%	81.1%	77.3%	84.9%
77	34.2%	31.8%	36.3%	79.1%	75%	83.2%
78	31.5%	29.1%	33.5%	76.9%	72.5%	81.3%
79	28.7%	26.4%	30.7%	74.5%	69.8%	79.2%
80	26%	23.8%	27.8%	71.8%	66.9%	76.8%
81	23.2%	21.2%	25%	68.9%	63.7%	74.2%
82	20.5%	18.6%	22.2%	65.8%	60.3%	71.3%
83	17.9%	16.2%	19.5%	62.4%	56.7%	68.2%
84	15.5%	13.9%	16.8%	58.7%	52.8%	64.8%
85	13.2%	11.7%	14.4%	55%	48.8%	61.1%
86	11%	9.77%	12.1%	51%	44.7%	57.3%
87	9.09%	7.98%	10%	47%	40.5%	53.4%
88	7.37%	6.38%	8.21%	42.9%	36.3%	49.3%
89	5.86%	4.99%	6.6%	38.7%	32.1%	45.1%
90	4.56%	3.8%	5.21%	34.6%	28%	40.9%
91	3.47%	2.81%	4.03%	30.5%	24.1%	36.6%
92	2.58%	2.02%	3.06%	26.6%	20.3%	32.4%
93	1.87%	1.41%	2.26%	22.9%	16.9%	28.2%
94	1.32%	0.95%	1.63%	19.3%	13.7%	24.2%
95	0.91%	0.63%	1.14%	16%	10.9%	20.5%
96	0.6%	0.4%	0.77%	13.1%	8.47%	17%
97	0.39%	0.25%	0.51%	10.4%	6.43%	13.9%
98	0.24%	0.15%	0.32%	8.18%	4.75%	11.1%
99	0.15%	0.09%	0.2%	6.27%	3.42%	8.63%
100	0.09%	0.05%	0.12%	4.72%	2.39%	6.58%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 6.31% in the birth year in Guinea and 0.53% in Liechtenstein, 0.41% vs 0.02% at age 30, 1.69% vs 0.37% at 60, and 10.5% vs 4.06% at 80.

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

Table

Age	Probability of dying
	Guinea			Liechtenstein
	Average	Male	Female	Average	Male	Female
0	6.31%	6.88%	5.72%	0.53%	0.53%	0.54%
1	0.92%	0.99%	0.85%	0.03%	0.02%	0.04%
2	0.77%	0.82%	0.73%	0.02%	0.02%	0.03%
3	0.65%	0.67%	0.62%	0.02%	0.02%	0.02%
4	0.54%	0.55%	0.53%	0.02%	0.01%	0.02%
5	0.45%	0.46%	0.45%	0.01%	0.01%	0.01%
6	0.38%	0.38%	0.38%	0.01%	0.01%	0.01%
7	0.32%	0.31%	0.33%	0.01%	0.01%	0.01%
8	0.27%	0.26%	0.28%	0.009%	0.009%	0.008%
9	0.23%	0.22%	0.24%	0.008%	0.008%	0.008%
10	0.21%	0.2%	0.22%	0.008%	0.008%	0.007%
11	0.19%	0.18%	0.2%	0.008%	0.008%	0.007%
12	0.19%	0.18%	0.19%	0.008%	0.008%	0.008%
13	0.19%	0.18%	0.19%	0.009%	0.009%	0.008%
14	0.2%	0.2%	0.2%	0.01%	0.01%	0.009%
15	0.22%	0.22%	0.21%	0.01%	0.01%	0.01%
16	0.24%	0.25%	0.23%	0.01%	0.02%	0.01%
17	0.26%	0.28%	0.25%	0.02%	0.02%	0.01%
18	0.29%	0.31%	0.26%	0.02%	0.02%	0.01%
19	0.31%	0.35%	0.28%	0.02%	0.02%	0.02%
20	0.33%	0.38%	0.29%	0.02%	0.02%	0.02%
21	0.35%	0.4%	0.3%	0.02%	0.02%	0.02%
22	0.36%	0.41%	0.31%	0.02%	0.03%	0.02%
23	0.37%	0.42%	0.31%	0.02%	0.02%	0.02%
24	0.37%	0.42%	0.32%	0.02%	0.02%	0.02%
25	0.38%	0.42%	0.34%	0.02%	0.02%	0.02%
26	0.38%	0.42%	0.35%	0.02%	0.02%	0.02%
27	0.39%	0.42%	0.36%	0.02%	0.02%	0.02%
28	0.4%	0.42%	0.37%	0.02%	0.02%	0.02%
29	0.41%	0.43%	0.38%	0.02%	0.02%	0.02%
30	0.41%	0.44%	0.39%	0.02%	0.02%	0.03%
31	0.42%	0.45%	0.4%	0.03%	0.02%	0.03%
32	0.43%	0.46%	0.41%	0.03%	0.03%	0.03%
33	0.44%	0.46%	0.41%	0.03%	0.03%	0.03%
34	0.45%	0.47%	0.42%	0.03%	0.03%	0.03%
35	0.46%	0.48%	0.43%	0.03%	0.03%	0.03%
36	0.47%	0.49%	0.45%	0.03%	0.03%	0.03%
37	0.49%	0.51%	0.47%	0.04%	0.03%	0.04%
38	0.51%	0.52%	0.49%	0.04%	0.04%	0.04%
39	0.53%	0.55%	0.51%	0.04%	0.04%	0.04%
40	0.56%	0.57%	0.54%	0.05%	0.05%	0.05%
41	0.58%	0.6%	0.56%	0.05%	0.05%	0.05%
42	0.6%	0.63%	0.58%	0.05%	0.06%	0.05%
43	0.62%	0.65%	0.6%	0.06%	0.06%	0.06%
44	0.64%	0.68%	0.61%	0.07%	0.07%	0.06%
45	0.66%	0.7%	0.62%	0.08%	0.08%	0.07%
46	0.68%	0.73%	0.64%	0.09%	0.09%	0.08%
47	0.71%	0.77%	0.66%	0.1%	0.11%	0.09%
48	0.76%	0.83%	0.7%	0.11%	0.12%	0.09%
49	0.81%	0.89%	0.74%	0.12%	0.13%	0.1%
50	0.87%	0.97%	0.8%	0.13%	0.15%	0.11%
51	0.94%	1.04%	0.86%	0.14%	0.17%	0.12%
52	1.01%	1.12%	0.92%	0.16%	0.19%	0.13%
53	1.07%	1.19%	0.97%	0.17%	0.21%	0.14%
54	1.13%	1.25%	1.03%	0.2%	0.24%	0.16%
55	1.19%	1.31%	1.09%	0.22%	0.27%	0.17%
56	1.25%	1.38%	1.15%	0.25%	0.31%	0.19%
57	1.33%	1.46%	1.22%	0.28%	0.35%	0.2%
58	1.43%	1.56%	1.31%	0.3%	0.39%	0.22%
59	1.55%	1.69%	1.42%	0.34%	0.44%	0.24%
60	1.69%	1.85%	1.56%	0.37%	0.48%	0.27%
61	1.86%	2.03%	1.71%	0.41%	0.53%	0.29%
62	2.04%	2.23%	1.88%	0.45%	0.59%	0.32%
63	2.23%	2.44%	2.07%	0.51%	0.65%	0.36%
64	2.44%	2.65%	2.27%	0.57%	0.73%	0.41%
65	2.66%	2.88%	2.49%	0.64%	0.82%	0.47%
66	2.9%	3.12%	2.73%	0.73%	0.93%	0.54%
67	3.16%	3.39%	2.99%	0.83%	1.06%	0.62%
68	3.46%	3.69%	3.29%	0.95%	1.2%	0.71%
69	3.8%	4.03%	3.63%	1.08%	1.35%	0.82%
70	4.18%	4.41%	4%	1.22%	1.52%	0.93%
71	4.59%	4.84%	4.41%	1.37%	1.71%	1.05%
72	5.05%	5.31%	4.86%	1.54%	1.91%	1.19%
73	5.54%	5.82%	5.34%	1.71%	2.13%	1.35%
74	6.07%	6.37%	5.85%	1.93%	2.38%	1.53%
75	6.64%	6.97%	6.41%	2.2%	2.65%	1.74%
76	7.27%	7.63%	7.02%	2.48%	2.97%	1.98%
77	7.97%	8.36%	7.7%	2.79%	3.33%	2.26%
78	8.74%	9.15%	8.46%	3.14%	3.74%	2.6%
79	9.6%	10%	9.3%	3.57%	4.22%	2.98%
80	10.5%	11%	10.2%	4.06%	4.76%	3.42%
81	11.5%	12%	11.2%	4.58%	5.36%	3.9%
82	12.6%	13.1%	12.3%	5.19%	6.04%	4.43%
83	13.8%	14.2%	13.4%	5.8%	6.77%	4.99%
84	15%	15.5%	14.6%	6.41%	7.57%	5.58%
85	16.2%	16.8%	15.8%	7.15%	8.44%	6.22%
86	17.5%	18.3%	17%	7.97%	9.39%	6.9%
87	19%	20%	18.3%	8.72%	10.4%	7.65%
88	20.5%	21.9%	19.6%	9.63%	11.5%	8.48%
89	22.1%	23.9%	21%	10.7%	12.8%	9.41%
90	23.8%	26%	22.6%	11.8%	14.1%	10.4%
91	25.6%	28.1%	24.2%	12.9%	15.5%	11.6%
92	27.5%	30.2%	26%	14%	17.1%	12.8%
93	29.4%	32.3%	28%	15.4%	18.7%	14.1%
94	31.4%	34.2%	30.1%	17.1%	20.4%	15.5%
95	33.5%	36.2%	32.3%	18.6%	22.3%	17%
96	35.5%	38.1%	34.4%	20%	24.1%	18.6%
97	37.4%	40%	36.4%	21.7%	26.1%	20.2%
98	39.3%	42%	38.4%	23.3%	28%	21.9%
99	41.1%	44%	40.2%	24.8%	30%	23.7%
100	43.1%	45.9%	42.3%	26.4%	32%	25.3%

Death rate by age in Guinea compared to Liechtenstein

In Guinea, the most common age of death is 0, compared to 89 in Liechtenstein. The median age of death is 70.6 in Guinea and 86.3 in Liechtenstein — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea			Liechtenstein
	Total	Male	Female	Total	Male	Female
0	6,306	6,878	5,716	533	527	541
1	867	925	805	28.2	19.4	38.6
2	719	754	682	23	17.4	29.4
3	598	616	579	18.8	15.7	22.5
4	497	504	491	15.6	14.1	17.5
5	414	412	415	13.2	12.6	13.8
6	345	339	351	11.2	11.2	11.2
7	288.2	279.6	297.3	9.77	10	9.49
8	243.5	234	253.4	8.7	9.05	8.33
9	209.6	200.3	219.4	7.99	8.32	7.63
10	185.9	177.3	195	7.63	7.91	7.31
11	171.6	164	179.6	7.62	7.86	7.31
12	165.7	159.4	172.3	7.95	8.24	7.6
13	167.7	163.1	172.4	8.67	9.11	8.18
14	176.5	174.3	178.8	9.8	10.5	9.02
15	191.4	192.7	190	11.4	12.5	10.1
16	210.8	217	204.4	13.3	15	11.4
17	232.6	245.2	219.4	15.5	17.8	12.7
18	254.5	274.7	233.5	17.5	20.4	14
19	274.2	302	244.9	19.1	22.5	15.3
20	290.5	326	253.9	20.1	24	16.4
21	303	343	261.2	21	24.7	17.3
22	312	354	267.8	21.6	24.8	18.2
23	317	358	274.8	21.8	24.6	19
24	322	359	282.7	22	24.1	19.8
25	325	357	291.4	22.2	23.7	20.6
26	328	355	301	22.3	23.3	21.4
27	332	354	310	22.6	23.1	22.2
28	337	356	318	23	23.1	23
29	343	359	326	23.6	23.3	23.9
30	349	365	333	24.3	23.8	24.8
31	355	371	339	25.2	24.6	25.9
32	360	376	344	26.4	25.6	27.2
33	365	381	349	27.8	26.9	28.6
34	370	385	355	29.3	28.4	30.3
35	377	390	363	31.1	30.1	32.1
36	385	397	373	33.1	32.1	34.2
37	396	407	386	35.4	34.5	36.4
38	411	421	402	38.1	37.3	38.8
39	428	437	420	41.1	40.5	41.5
40	447	456	438	44.5	44.5	44.6
41	465	475	455	48.7	49.3	48.1
42	480	492	469	53.6	55.1	52.3
43	493	508	479	59.6	62.2	57.2
44	503	523	486	67	70.7	62.8
45	514	538	493	75.1	80.6	69.2
46	528	558	503	84	91.7	76.2
47	549	585	519	93.6	103.8	83.6
48	578	621	542	104.2	116.8	91.3
49	614	664	573	115.9	130.6	99.2
50	657	713	610	126.5	145.6	107.6
51	702	764	651	139	162.5	116.7
52	745	811	691	154.3	182.4	126.8
53	784	852	728	170.4	206	138.3
54	818	886	762	190.4	233.9	151.4
55	851	918	795	217.6	266.1	165.9
56	886	951	831	245.6	302	181.8
57	928	994	874	267.7	340	198.6
58	983	1,049	928	294.1	379	216.4
59	1,050	1,118	993	324	418	235.3
60	1,130	1,201	1,071	358	459	256.3
61	1,220	1,293	1,159	392	503	280.9
62	1,315	1,390	1,254	426	552	310
63	1,412	1,485	1,352	478	611	347
64	1,508	1,578	1,453	536	680	392
65	1,604	1,667	1,556	602	762	446
66	1,702	1,755	1,662	682	857	510
67	1,803	1,845	1,774	767	962	583
68	1,911	1,941	1,893	869	1,078	665
69	2,024	2,042	2,018	980	1,202	755
70	2,141	2,146	2,146	1,091	1,334	852
71	2,256	2,250	2,272	1,214	1,472	958
72	2,366	2,349	2,391	1,347	1,618	1,074
73	2,465	2,439	2,499	1,470	1,771	1,201
74	2,552	2,516	2,594	1,637	1,933	1,343
75	2,624	2,578	2,675	1,827	2,107	1,501
76	2,682	2,625	2,742	2,009	2,294	1,681
77	2,725	2,654	2,796	2,207	2,497	1,883
78	2,751	2,665	2,835	2,417	2,714	2,110
79	2,756	2,652	2,854	2,660	2,945	2,359
80	2,734	2,611	2,847	2,916	3,182	2,625
81	2,680	2,540	2,807	3,159	3,417	2,895
82	2,592	2,438	2,730	3,410	3,639	3,159
83	2,469	2,306	2,613	3,617	3,837	3,402
84	2,314	2,150	2,458	3,763	4,000	3,617
85	2,134	1,977	2,272	3,929	4,121	3,801
86	1,935	1,791	2,062	4,069	4,195	3,956
87	1,725	1,596	1,839	4,097	4,218	4,082
88	1,510	1,395	1,611	4,129	4,186	4,181
89	1,296	1,190	1,388	4,145	4,096	4,245
90	1,087	986	1,175	4,072	3,945	4,268
91	891	790	977	3,939	3,735	4,237
92	711	611	796	3,723	3,469	4,144
93	552	455	633	3,522	3,153	3,985
94	416	327	490	3,302	2,801	3,761
95	303	227	367	2,987	2,426	3,481
96	213.9	152.6	265	2,609	2,045	3,155
97	145.7	99.3	184.2	2,268	1,676	2,798
98	95.7	62.5	123.3	1,907	1,332	2,424
99	60.7	38	79.6	1,554	1,027	2,048
100	0	0	0	1,195	648	1,703

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 Guinea and Liechtenstein 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
• Guinea vs Liechtenstein: Side-by-Side Comparison

By topic vs comparisons:

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