Life Expectancy in Guinea vs Liechtenstein (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 Guinea vs Liechtenstein: 71 years vs 84.7 at 30, 78.7 vs 86.4 at 65, 85.9 vs 90.1 at 80 — significantly higher than the 61.1 vs 83.9 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	61.1	59.8	62.3	83.9	82.2	85.5
1	65.2	64.3	66.1	84.4	82.7	86
2	65.8	64.9	66.6	84.4	82.7	86
3	66.3	65.4	67.1	84.4	82.7	86.1
4	66.7	65.8	67.5	84.4	82.7	86.1
5	67.1	66.2	67.9	84.5	82.7	86.1
6	67.4	66.5	68.2	84.5	82.7	86.1
7	67.6	66.7	68.4	84.5	82.7	86.1
8	67.8	66.9	68.6	84.5	82.7	86.1
9	68	67	68.8	84.5	82.8	86.1
10	68.1	67.2	68.9	84.5	82.8	86.1
11	68.2	67.3	69	84.5	82.8	86.1
12	68.3	67.4	69.2	84.5	82.8	86.2
13	68.4	67.5	69.3	84.5	82.8	86.2
14	68.5	67.6	69.4	84.5	82.8	86.2
15	68.6	67.7	69.5	84.5	82.8	86.2
16	68.8	67.8	69.6	84.5	82.8	86.2
17	68.9	67.9	69.7	84.5	82.8	86.2
18	69	68.1	69.9	84.6	82.8	86.2
19	69.2	68.2	70	84.6	82.8	86.2
20	69.3	68.4	70.1	84.6	82.9	86.2
21	69.5	68.6	70.3	84.6	82.9	86.2
22	69.7	68.8	70.4	84.6	82.9	86.2
23	69.8	69	70.6	84.6	82.9	86.3
24	70	69.2	70.7	84.6	82.9	86.3
25	70.2	69.4	70.9	84.6	82.9	86.3
26	70.4	69.5	71	84.7	82.9	86.3
27	70.5	69.7	71.2	84.7	83	86.3
28	70.7	69.9	71.4	84.7	83	86.3
29	70.9	70.1	71.5	84.7	83	86.3
30	71	70.3	71.7	84.7	83	86.3
31	71.2	70.4	71.9	84.7	83	86.4
32	71.4	70.6	72	84.7	83	86.4
33	71.5	70.8	72.2	84.8	83	86.4
34	71.7	71	72.3	84.8	83	86.4
35	71.9	71.1	72.5	84.8	83.1	86.4
36	72	71.3	72.7	84.8	83.1	86.4
37	72.2	71.5	72.8	84.8	83.1	86.5
38	72.4	71.7	73	84.8	83.1	86.5
39	72.6	71.8	73.2	84.9	83.1	86.5
40	72.7	72	73.3	84.9	83.1	86.5
41	72.9	72.2	73.5	84.9	83.2	86.5
42	73.1	72.4	73.7	84.9	83.2	86.6
43	73.3	72.6	73.9	84.9	83.2	86.6
44	73.5	72.8	74.1	85	83.2	86.6
45	73.7	73	74.3	85	83.3	86.6
46	73.9	73.2	74.4	85	83.3	86.7
47	74	73.3	74.6	85.1	83.3	86.7
48	74.2	73.6	74.8	85.1	83.4	86.7
49	74.4	73.8	75	85.1	83.4	86.8
50	74.6	74	75.2	85.2	83.5	86.8
51	74.9	74.2	75.4	85.2	83.5	86.8
52	75.1	74.5	75.6	85.3	83.6	86.9
53	75.3	74.7	75.8	85.3	83.6	86.9
54	75.5	75	76	85.4	83.7	87
55	75.8	75.2	76.2	85.4	83.8	87
56	76	75.5	76.5	85.5	83.8	87.1
57	76.3	75.8	76.7	85.6	83.9	87.1
58	76.5	76	76.9	85.7	84	87.2
59	76.8	76.3	77.2	85.7	84.1	87.3
60	77.1	76.6	77.5	85.8	84.2	87.3
61	77.4	76.9	77.7	85.9	84.4	87.4
62	77.7	77.2	78	86	84.5	87.5
63	78	77.6	78.3	86.1	84.6	87.6
64	78.3	77.9	78.6	86.3	84.8	87.7
65	78.7	78.3	78.9	86.4	84.9	87.8
66	79	78.7	79.3	86.5	85.1	87.9
67	79.4	79	79.7	86.7	85.2	88
68	79.8	79.5	80	86.8	85.4	88.1
69	80.2	79.9	80.4	87	85.7	88.2
70	80.6	80.3	80.8	87.2	85.9	88.4
71	81.1	80.8	81.3	87.4	86.1	88.6
72	81.5	81.2	81.7	87.7	86.4	88.8
73	82	81.7	82.2	87.9	86.7	89
74	82.5	82.2	82.7	88.1	86.9	89.2
75	83	82.8	83.2	88.4	87.3	89.4
76	83.6	83.3	83.7	88.7	87.6	89.6
77	84.1	83.9	84.3	89	87.9	89.9
78	84.7	84.5	84.8	89.4	88.3	90.2
79	85.3	85.1	85.4	89.7	88.7	90.5
80	85.9	85.7	86	90.1	89.1	90.9
81	86.5	86.3	86.7	90.5	89.5	91.2
82	87.2	87	87.3	91	90	91.6
83	87.9	87.7	88	91.4	90.5	92.1
84	88.6	88.3	88.7	91.9	91	92.5
85	89.3	89	89.4	92.4	91.5	93
86	90	89.8	90.1	93	92.1	93.5
87	90.7	90.5	90.9	93.5	92.7	94
88	91.5	91.3	91.7	94.1	93.3	94.6
89	92.3	92	92.4	94.7	93.9	95.1
90	93.1	92.8	93.2	95.4	94.6	95.7
91	93.9	93.6	94	96	95.3	96.3
92	94.7	94.5	94.8	96.7	96	97
93	95.5	95.3	95.6	97.4	96.7	97.6
94	96.4	96.2	96.5	98.1	97.4	98.3
95	97.2	97.1	97.3	98.8	98.2	99
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, 66.6% in Guinea and 95.7% in Liechtenstein are expected to survive till at least 60 years old, 51% and 89.5% will live to 70 years or older, 25.8% and 71.4% to 80+ years, and 4.52% and 34.2% 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
	Guinea			Liechtenstein
	Average	Male	Female	Average	Male	Female
1	93.6%	93%	94.2%	99.5%	99.5%	99.5%
2	92.7%	92.1%	93.4%	99.4%	99.4%	99.4%
3	92%	91.4%	92.7%	99.4%	99.4%	99.4%
4	91.4%	90.7%	92.1%	99.4%	99.4%	99.4%
5	90.9%	90.2%	91.6%	99.4%	99.4%	99.3%
6	90.5%	89.8%	91.2%	99.4%	99.4%	99.3%
7	90.1%	89.5%	90.8%	99.3%	99.4%	99.3%
8	89.8%	89.2%	90.5%	99.3%	99.4%	99.3%
9	89.6%	88.9%	90.3%	99.3%	99.4%	99.3%
10	89.4%	88.7%	90.1%	99.3%	99.3%	99.3%
11	89.2%	88.6%	89.9%	99.3%	99.3%	99.3%
12	89%	88.4%	89.7%	99.3%	99.3%	99.3%
13	88.9%	88.2%	89.5%	99.3%	99.3%	99.3%
14	88.7%	88.1%	89.3%	99.3%	99.3%	99.3%
15	88.5%	87.9%	89.1%	99.3%	99.3%	99.3%
16	88.3%	87.7%	89%	99.3%	99.3%	99.2%
17	88.1%	87.5%	88.7%	99.3%	99.3%	99.2%
18	87.9%	87.2%	88.5%	99.2%	99.3%	99.2%
19	87.6%	87%	88.3%	99.2%	99.2%	99.2%
20	87.3%	86.7%	88%	99.2%	99.2%	99.2%
21	87%	86.3%	87.8%	99.2%	99.2%	99.2%
22	86.7%	86%	87.5%	99.2%	99.2%	99.2%
23	86.4%	85.6%	87.2%	99.1%	99.1%	99.1%
24	86.1%	85.3%	87%	99.1%	99.1%	99.1%
25	85.8%	84.9%	86.7%	99.1%	99.1%	99.1%
26	85.4%	84.5%	86.4%	99.1%	99.1%	99.1%
27	85.1%	84.2%	86.1%	99%	99%	99.1%
28	84.8%	83.8%	85.8%	99%	99%	99%
29	84.4%	83.5%	85.5%	99%	99%	99%
30	84.1%	83.1%	85.1%	99%	99%	99%
31	83.7%	82.7%	84.8%	99%	98.9%	99%
32	83.4%	82.4%	84.4%	98.9%	98.9%	98.9%
33	83%	82%	84.1%	98.9%	98.9%	98.9%
34	82.7%	81.6%	83.7%	98.9%	98.9%	98.9%
35	82.3%	81.2%	83.4%	98.8%	98.8%	98.8%
36	81.9%	80.8%	83%	98.8%	98.8%	98.8%
37	81.5%	80.4%	82.6%	98.8%	98.8%	98.8%
38	81.1%	80%	82.3%	98.7%	98.7%	98.7%
39	80.7%	79.6%	81.9%	98.7%	98.7%	98.7%
40	80.3%	79.1%	81.4%	98.7%	98.7%	98.7%
41	79.8%	78.7%	81%	98.6%	98.6%	98.6%
42	79.4%	78.2%	80.5%	98.6%	98.6%	98.6%
43	78.9%	77.7%	80.1%	98.5%	98.5%	98.5%
44	78.4%	77.2%	79.6%	98.4%	98.4%	98.5%
45	77.9%	76.7%	79.1%	98.4%	98.4%	98.4%
46	77.4%	76.1%	78.6%	98.3%	98.3%	98.3%
47	76.8%	75.6%	78.1%	98.2%	98.2%	98.2%
48	76.3%	75%	77.6%	98.1%	98.1%	98.2%
49	75.7%	74.4%	77%	98%	98%	98.1%
50	75.1%	73.7%	76.4%	97.9%	97.8%	98%
51	74.4%	73%	75.8%	97.8%	97.7%	97.9%
52	73.7%	72.2%	75.2%	97.6%	97.5%	97.7%
53	73%	71.4%	74.5%	97.5%	97.3%	97.6%
54	72.2%	70.6%	73.7%	97.3%	97.1%	97.5%
55	71.4%	69.7%	73%	97.1%	96.9%	97.3%
56	70.5%	68.7%	72.2%	96.9%	96.6%	97.1%
57	69.6%	67.8%	71.4%	96.6%	96.3%	97%
58	68.7%	66.8%	70.5%	96.4%	96%	96.8%
59	67.7%	65.8%	69.5%	96.1%	95.6%	96.5%
60	66.6%	64.6%	68.6%	95.7%	95.1%	96.3%
61	65.5%	63.4%	67.5%	95.4%	94.7%	96%
62	64.3%	62.1%	66.3%	95%	94.2%	95.8%
63	63%	60.7%	65.1%	94.5%	93.6%	95.4%
64	61.6%	59.3%	63.7%	94%	93%	95.1%
65	60.1%	57.7%	62.3%	93.5%	92.3%	94.7%
66	58.5%	56%	60.7%	92.9%	91.5%	94.2%
67	56.8%	54.3%	59%	92.2%	90.6%	93.7%
68	55%	52.4%	57.3%	91.4%	89.6%	93.1%
69	53%	50.5%	55.4%	90.5%	88.5%	92.5%
70	51%	48.4%	53.4%	89.5%	87.3%	91.7%
71	48.9%	46.3%	51.2%	88.4%	86%	90.8%
72	46.6%	44.1%	49%	87.2%	84.5%	89.9%
73	44.3%	41.7%	46.6%	85.8%	82.8%	88.8%
74	41.8%	39.3%	44.1%	84.3%	81%	87.6%
75	39.3%	36.8%	41.5%	82.7%	79.1%	86.2%
76	36.7%	34.2%	38.8%	80.8%	76.9%	84.7%
77	34%	31.6%	36.1%	78.8%	74.6%	83%
78	31.3%	28.9%	33.3%	76.6%	72.1%	81.1%
79	28.5%	26.3%	30.5%	74.1%	69.3%	79%
80	25.8%	23.6%	27.6%	71.4%	66.4%	76.6%
81	23.1%	21%	24.8%	68.5%	63.2%	74%
82	20.4%	18.5%	22%	65.3%	59.7%	71.1%
83	17.8%	16.1%	19.3%	61.9%	56.1%	67.9%
84	15.4%	13.8%	16.7%	58.3%	52.2%	64.5%
85	13.1%	11.7%	14.3%	54.5%	48.2%	60.8%
86	10.9%	9.69%	12%	50.6%	44.1%	57%
87	9.02%	7.91%	9.96%	46.5%	39.9%	53%
88	7.3%	6.33%	8.13%	42.4%	35.7%	49%
89	5.81%	4.94%	6.53%	38.3%	31.5%	44.8%
90	4.52%	3.76%	5.16%	34.2%	27.4%	40.5%
91	3.44%	2.78%	3.99%	30.1%	23.5%	36.3%
92	2.56%	2%	3.03%	26.3%	19.8%	32%
93	1.85%	1.39%	2.24%	22.5%	16.4%	27.9%
94	1.31%	0.94%	1.61%	19%	13.3%	23.9%
95	0.9%	0.62%	1.12%	15.7%	10.5%	20.2%
96	0.6%	0.4%	0.76%	12.8%	8.17%	16.7%
97	0.38%	0.24%	0.5%	10.2%	6.18%	13.6%
98	0.24%	0.15%	0.32%	7.98%	4.55%	10.8%
99	0.15%	0.09%	0.2%	6.14%	3.27%	8.45%
100	0.09%	0.05%	0.12%	4.62%	2.28%	6.43%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 6.38% in the birth year in Guinea and 0.54% in Liechtenstein, 0.42% vs 0.02% at age 30, 1.7% vs 0.38% at 60, and 10.6% vs 4.1% 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	6.38%	6.95%	5.8%	0.54%	0.54%	0.55%
1	0.93%	1%	0.86%	0.03%	0.02%	0.04%
2	0.78%	0.83%	0.74%	0.02%	0.02%	0.03%
3	0.66%	0.68%	0.63%	0.02%	0.02%	0.02%
4	0.55%	0.56%	0.54%	0.02%	0.01%	0.02%
5	0.46%	0.46%	0.46%	0.01%	0.01%	0.01%
6	0.39%	0.38%	0.39%	0.01%	0.01%	0.01%
7	0.32%	0.32%	0.33%	0.01%	0.01%	0.01%
8	0.27%	0.26%	0.28%	0.009%	0.009%	0.008%
9	0.24%	0.23%	0.25%	0.008%	0.009%	0.008%
10	0.21%	0.2%	0.22%	0.008%	0.008%	0.007%
11	0.19%	0.19%	0.2%	0.008%	0.008%	0.007%
12	0.19%	0.18%	0.19%	0.008%	0.008%	0.008%
13	0.19%	0.19%	0.2%	0.009%	0.009%	0.008%
14	0.2%	0.2%	0.2%	0.01%	0.01%	0.009%
15	0.22%	0.22%	0.22%	0.01%	0.01%	0.01%
16	0.24%	0.25%	0.23%	0.01%	0.02%	0.01%
17	0.27%	0.28%	0.25%	0.02%	0.02%	0.01%
18	0.29%	0.32%	0.27%	0.02%	0.02%	0.01%
19	0.32%	0.35%	0.28%	0.02%	0.02%	0.02%
20	0.34%	0.38%	0.29%	0.02%	0.02%	0.02%
21	0.35%	0.4%	0.3%	0.02%	0.03%	0.02%
22	0.36%	0.41%	0.31%	0.02%	0.03%	0.02%
23	0.37%	0.42%	0.32%	0.02%	0.03%	0.02%
24	0.38%	0.42%	0.33%	0.02%	0.02%	0.02%
25	0.38%	0.42%	0.34%	0.02%	0.02%	0.02%
26	0.39%	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%	0.43%	0.38%	0.02%	0.02%	0.02%
29	0.41%	0.43%	0.39%	0.02%	0.02%	0.02%
30	0.42%	0.44%	0.39%	0.02%	0.02%	0.03%
31	0.43%	0.45%	0.4%	0.03%	0.03%	0.03%
32	0.44%	0.46%	0.41%	0.03%	0.03%	0.03%
33	0.44%	0.47%	0.42%	0.03%	0.03%	0.03%
34	0.45%	0.48%	0.43%	0.03%	0.03%	0.03%
35	0.46%	0.48%	0.44%	0.03%	0.03%	0.03%
36	0.47%	0.49%	0.45%	0.03%	0.03%	0.04%
37	0.49%	0.51%	0.47%	0.04%	0.04%	0.04%
38	0.51%	0.53%	0.49%	0.04%	0.04%	0.04%
39	0.53%	0.55%	0.52%	0.04%	0.04%	0.04%
40	0.56%	0.58%	0.54%	0.05%	0.05%	0.05%
41	0.59%	0.61%	0.57%	0.05%	0.05%	0.05%
42	0.61%	0.63%	0.59%	0.06%	0.06%	0.05%
43	0.63%	0.66%	0.6%	0.06%	0.06%	0.06%
44	0.65%	0.68%	0.61%	0.07%	0.07%	0.06%
45	0.66%	0.71%	0.63%	0.08%	0.08%	0.07%
46	0.69%	0.74%	0.64%	0.09%	0.1%	0.08%
47	0.72%	0.78%	0.67%	0.1%	0.11%	0.09%
48	0.76%	0.83%	0.7%	0.11%	0.12%	0.09%
49	0.81%	0.9%	0.75%	0.12%	0.14%	0.1%
50	0.88%	0.97%	0.8%	0.13%	0.15%	0.11%
51	0.95%	1.05%	0.86%	0.15%	0.17%	0.12%
52	1.01%	1.13%	0.92%	0.16%	0.19%	0.13%
53	1.08%	1.2%	0.98%	0.18%	0.22%	0.14%
54	1.14%	1.26%	1.04%	0.2%	0.25%	0.16%
55	1.2%	1.32%	1.09%	0.23%	0.28%	0.17%
56	1.26%	1.39%	1.15%	0.25%	0.32%	0.19%
57	1.34%	1.47%	1.23%	0.28%	0.36%	0.21%
58	1.43%	1.57%	1.32%	0.31%	0.4%	0.23%
59	1.55%	1.7%	1.43%	0.35%	0.45%	0.25%
60	1.7%	1.86%	1.57%	0.38%	0.49%	0.27%
61	1.86%	2.04%	1.72%	0.41%	0.54%	0.3%
62	2.05%	2.24%	1.89%	0.46%	0.6%	0.33%
63	2.24%	2.45%	2.08%	0.52%	0.67%	0.37%
64	2.45%	2.66%	2.28%	0.58%	0.75%	0.42%
65	2.67%	2.89%	2.5%	0.66%	0.84%	0.48%
66	2.91%	3.13%	2.74%	0.74%	0.95%	0.55%
67	3.17%	3.4%	3%	0.85%	1.08%	0.63%
68	3.47%	3.7%	3.3%	0.97%	1.22%	0.72%
69	3.81%	4.04%	3.64%	1.1%	1.38%	0.83%
70	4.19%	4.42%	4.01%	1.24%	1.55%	0.94%
71	4.61%	4.85%	4.43%	1.4%	1.74%	1.07%
72	5.06%	5.32%	4.87%	1.55%	1.94%	1.21%
73	5.55%	5.83%	5.35%	1.75%	2.17%	1.37%
74	6.09%	6.39%	5.87%	1.99%	2.42%	1.55%
75	6.66%	6.99%	6.43%	2.23%	2.7%	1.76%
76	7.29%	7.65%	7.04%	2.51%	3.02%	2%
77	7.99%	8.38%	7.72%	2.81%	3.38%	2.29%
78	8.76%	9.17%	8.47%	3.19%	3.8%	2.62%
79	9.62%	10%	9.32%	3.63%	4.29%	3.01%
80	10.6%	11%	10.2%	4.1%	4.83%	3.45%
81	11.6%	12%	11.3%	4.66%	5.45%	3.94%
82	12.6%	13.1%	12.3%	5.23%	6.13%	4.47%
83	13.8%	14.3%	13.5%	5.8%	6.87%	5.04%
84	15%	15.5%	14.6%	6.5%	7.68%	5.64%
85	16.2%	16.9%	15.8%	7.27%	8.56%	6.27%
86	17.6%	18.4%	17.1%	7.97%	9.52%	6.96%
87	19%	20%	18.3%	8.8%	10.6%	7.71%
88	20.5%	21.9%	19.7%	9.79%	11.7%	8.55%
89	22.1%	23.9%	21.1%	10.8%	12.9%	9.49%
90	23.9%	26%	22.6%	11.8%	14.3%	10.5%
91	25.7%	28.2%	24.2%	12.8%	15.7%	11.7%
92	27.5%	30.3%	26.1%	14.2%	17.3%	12.9%
93	29.5%	32.3%	28%	15.8%	18.9%	14.2%
94	31.5%	34.3%	30.1%	17.2%	20.7%	15.6%
95	33.5%	36.2%	32.3%	18.6%	22.5%	17.1%
96	35.5%	38.1%	34.4%	20.2%	24.4%	18.7%
97	37.5%	40.1%	36.5%	21.8%	26.3%	20.3%
98	39.3%	42%	38.4%	23.2%	28.3%	22.1%
99	41.1%	44%	40.2%	24.7%	30.3%	23.9%
100	43.1%	46%	42.3%	26.3%	32.2%	25.5%

Death rate by age in Guinea compared to Liechtenstein

In Guinea, the most common age of death is 0, compared to 88 in Liechtenstein. The median age of death is 70.5 in Guinea and 86.1 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	6,385	6,954	5,797	542	537	547
1	875	933	814	28.6	19.7	39
2	727	761	690	23.3	17.7	29.7
3	605	622	586	19.1	15.9	22.8
4	503	509	497	16	14.3	17.7
5	419	416	421	13.4	12.8	14
6	349	342	356	11.4	11.4	11.4
7	291.7	282.3	301	9.93	10.2	9.6
8	246.4	236.3	257	8.85	9.23	8.43
9	212.1	202.2	222.4	8.14	8.49	7.73
10	188.1	179	197.6	7.78	8.07	7.4
11	173.6	165.5	182	7.74	8.02	7.4
12	167.6	160.9	174.5	8.07	8.41	7.7
13	169.5	164.6	174.6	8.81	9.3	8.28
14	178.4	175.9	181	9.97	10.8	9.14
15	193.5	194.4	192.4	11.6	12.8	10.2
16	213.1	219	206.9	13.6	15.4	11.5
17	235	247.3	222.2	15.7	18.1	12.9
18	257.1	277	236.3	17.7	20.8	14.2
19	276.9	305	247.9	19.2	23	15.5
20	293.4	328	257	20.5	24.5	16.6
21	306	346	264.3	21.5	25.2	17.6
22	315	357	270.9	21.9	25.4	18.4
23	320	361	278	22.3	25.1	19.3
24	324	362	285.8	22.4	24.7	20
25	328	360	294.6	22.5	24.2	20.8
26	331	358	304	22.7	23.8	21.6
27	335	357	313	23	23.6	22.4
28	340	358	322	23.4	23.6	23.3
29	346	362	329	24	23.8	24.2
30	352	367	336	24.7	24.4	25.2
31	358	373	342	25.7	25.1	26.3
32	363	379	347	26.9	26.2	27.5
33	368	383	352	28.2	27.4	29
34	373	388	358	29.8	29	30.6
35	379	393	366	31.6	30.8	32.5
36	388	400	376	33.7	32.8	34.6
37	399	410	389	36.1	35.2	36.9
38	414	423	405	38.8	38.1	39.4
39	431	440	423	41.8	41.4	42.1
40	450	459	442	45.3	45.4	45.2
41	467	477	459	49.5	50.3	48.8
42	483	495	472	54.6	56.3	53
43	495	510	482	60.9	63.6	57.9
44	506	525	489	68.1	72.3	63.6
45	517	541	496	76.3	82.3	70.1
46	531	561	506	85.3	93.7	77.2
47	552	588	522	95.5	106.1	84.7
48	580	623	545	106.7	119.3	92.5
49	617	666	576	117	133.5	100.5
50	659	715	613	128.4	148.8	109
51	704	766	653	141.9	166.1	118.2
52	748	813	693	155.9	186.4	128.4
53	786	854	730	173.4	210.5	140.1
54	821	888	764	197.5	239	153.3
55	853	919	798	223.3	271.8	168.1
56	888	953	833	245	308	184.1
57	930	995	876	271.1	347	201.1
58	984	1,050	930	300	387	219.1
59	1,052	1,119	995	333	427	238.3
60	1,132	1,202	1,073	364	469	259.6
61	1,221	1,294	1,160	394	513	284.4
62	1,316	1,390	1,255	439	564	314
63	1,412	1,485	1,353	488	624	351
64	1,508	1,577	1,453	543	694	397
65	1,604	1,666	1,556	613	778	451
66	1,700	1,753	1,661	689	873	516
67	1,801	1,843	1,773	783	980	590
68	1,908	1,938	1,891	887	1,097	672
69	2,021	2,039	2,015	992	1,223	763
70	2,137	2,143	2,142	1,108	1,356	861
71	2,252	2,246	2,267	1,234	1,496	968
72	2,361	2,344	2,386	1,349	1,643	1,085
73	2,459	2,433	2,493	1,504	1,797	1,213
74	2,545	2,509	2,586	1,681	1,960	1,355
75	2,616	2,570	2,666	1,846	2,135	1,515
76	2,673	2,616	2,732	2,027	2,323	1,696
77	2,715	2,645	2,785	2,217	2,525	1,899
78	2,740	2,655	2,823	2,443	2,743	2,127
79	2,744	2,641	2,840	2,688	2,973	2,377
80	2,721	2,600	2,833	2,929	3,208	2,642
81	2,667	2,528	2,792	3,190	3,441	2,913
82	2,578	2,425	2,714	3,417	3,660	3,176
83	2,455	2,294	2,597	3,593	3,854	3,419
84	2,300	2,138	2,443	3,792	4,012	3,633
85	2,121	1,965	2,257	3,966	4,127	3,815
86	1,923	1,779	2,048	4,029	4,195	3,968
87	1,713	1,585	1,825	4,096	4,210	4,091
88	1,499	1,385	1,598	4,152	4,170	4,186
89	1,286	1,181	1,376	4,122	4,072	4,246
90	1,079	979	1,165	4,036	3,914	4,264
91	883	784	968	3,869	3,696	4,229
92	704	605	788	3,719	3,423	4,131
93	546	451	627	3,551	3,102	3,967
94	411	324	485	3,273	2,747	3,739
95	300	224.5	363	2,914	2,371	3,455
96	211.5	150.9	262.2	2,587	1,992	3,126
97	144	98.1	182.2	2,222	1,626	2,767
98	94.5	61.7	121.8	1,849	1,288	2,393
99	59.9	37.5	78.6	1,518	989	2,018
100	0	0	0	1,159	613	1,670

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: Profiles in Numbers

By topic vs comparisons:

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