Life Expectancy in Guinea vs Zimbabwe (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 Zimbabwe: 71.1 years vs 68.5 at 30, 78.7 vs 78.3 at 65, 85.9 vs 86.4 at 80 — significantly higher than the 61.2 vs 63.6 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 Zimbabwe.

Table

Current age, years	Total life expectancy, years
	Guinea			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	61.2	59.9	62.4	63.6	61	65.9
1	65.3	64.4	66.2	65.6	63.2	67.7
2	65.9	65	66.8	66	63.5	68.1
3	66.4	65.5	67.2	66.2	63.6	68.3
4	66.8	65.9	67.6	66.3	63.8	68.4
5	67.2	66.3	68	66.4	63.9	68.5
6	67.5	66.5	68.3	66.5	64	68.6
7	67.7	66.8	68.5	66.5	64	68.7
8	67.9	67	68.7	66.6	64.1	68.7
9	68	67.1	68.9	66.6	64.1	68.8
10	68.2	67.2	69	66.7	64.2	68.8
11	68.3	67.4	69.1	66.7	64.2	68.8
12	68.4	67.5	69.3	66.8	64.2	68.9
13	68.5	67.6	69.4	66.8	64.3	68.9
14	68.6	67.7	69.5	66.8	64.3	69
15	68.7	67.8	69.6	66.9	64.4	69
16	68.8	67.9	69.7	67	64.4	69.1
17	69	68	69.8	67	64.5	69.1
18	69.1	68.1	70	67.1	64.6	69.2
19	69.2	68.3	70.1	67.2	64.7	69.3
20	69.4	68.5	70.2	67.3	64.8	69.3
21	69.6	68.7	70.4	67.4	64.9	69.4
22	69.7	68.8	70.5	67.5	65	69.5
23	69.9	69	70.7	67.6	65.1	69.6
24	70.1	69.2	70.8	67.7	65.3	69.7
25	70.2	69.4	71	67.8	65.4	69.8
26	70.4	69.6	71.1	68	65.5	70
27	70.6	69.8	71.3	68.1	65.7	70.1
28	70.8	70	71.4	68.2	65.8	70.2
29	70.9	70.1	71.6	68.4	66	70.4
30	71.1	70.3	71.8	68.5	66.2	70.5
31	71.3	70.5	71.9	68.7	66.3	70.6
32	71.4	70.7	72.1	68.9	66.5	70.8
33	71.6	70.8	72.2	69	66.7	71
34	71.8	71	72.4	69.2	66.9	71.1
35	71.9	71.2	72.6	69.4	67.1	71.3
36	72.1	71.4	72.7	69.6	67.3	71.5
37	72.3	71.5	72.9	69.8	67.5	71.7
38	72.4	71.7	73.1	70	67.8	71.9
39	72.6	71.9	73.2	70.2	68	72
40	72.8	72.1	73.4	70.5	68.2	72.2
41	73	72.2	73.6	70.7	68.5	72.5
42	73.2	72.4	73.8	70.9	68.7	72.7
43	73.3	72.6	73.9	71.2	69	72.9
44	73.5	72.8	74.1	71.4	69.3	73.1
45	73.7	73	74.3	71.7	69.6	73.3
46	73.9	73.2	74.5	71.9	69.9	73.6
47	74.1	73.4	74.7	72.2	70.2	73.8
48	74.3	73.6	74.8	72.5	70.5	74
49	74.5	73.8	75	72.7	70.8	74.3
50	74.7	74	75.2	73	71.1	74.6
51	74.9	74.2	75.4	73.3	71.4	74.8
52	75.1	74.5	75.6	73.6	71.8	75.1
53	75.3	74.7	75.8	73.9	72.1	75.4
54	75.6	75	76.1	74.2	72.5	75.7
55	75.8	75.2	76.3	74.6	72.8	76
56	76.1	75.5	76.5	74.9	73.2	76.3
57	76.3	75.8	76.7	75.2	73.6	76.6
58	76.6	76	77	75.6	74	76.9
59	76.8	76.3	77.2	75.9	74.4	77.2
60	77.1	76.6	77.5	76.3	74.8	77.5
61	77.4	76.9	77.7	76.7	75.2	77.9
62	77.7	77.2	78	77.1	75.6	78.2
63	78	77.6	78.3	77.5	76.1	78.6
64	78.3	77.9	78.6	77.9	76.5	79
65	78.7	78.3	79	78.3	77	79.4
66	79	78.7	79.3	78.8	77.5	79.8
67	79.4	79.1	79.7	79.2	77.9	80.2
68	79.8	79.5	80	79.7	78.4	80.7
69	80.2	79.9	80.4	80.2	79	81.1
70	80.6	80.3	80.9	80.7	79.5	81.6
71	81.1	80.8	81.3	81.2	80	82.1
72	81.5	81.2	81.7	81.7	80.6	82.5
73	82	81.7	82.2	82.2	81.2	83
74	82.5	82.2	82.7	82.8	81.7	83.5
75	83	82.8	83.2	83.4	82.3	84.1
76	83.6	83.3	83.7	83.9	83	84.6
77	84.1	83.9	84.3	84.5	83.6	85.2
78	84.7	84.5	84.8	85.1	84.2	85.7
79	85.3	85.1	85.4	85.8	84.9	86.3
80	85.9	85.7	86	86.4	85.6	86.9
81	86.5	86.3	86.7	87	86.3	87.5
82	87.2	87	87.3	87.7	87	88.1
83	87.9	87.7	88	88.4	87.7	88.7
84	88.6	88.3	88.7	89	88.4	89.4
85	89.3	89.1	89.4	89.8	89.2	90.1
86	90	89.8	90.2	90.5	90	90.8
87	90.7	90.5	90.9	91.2	90.8	91.5
88	91.5	91.3	91.7	92	91.6	92.2
89	92.3	92	92.4	92.8	92.4	93
90	93.1	92.8	93.2	93.6	93.2	93.8
91	93.9	93.6	94	94.4	94	94.5
92	94.7	94.5	94.8	95.2	94.9	95.3
93	95.5	95.3	95.6	96	95.7	96.1
94	96.4	96.2	96.5	96.9	96.6	97
95	97.2	97.1	97.3	97.7	97.5	97.8
96	98.1	98	98.2	98.6	98.4	98.7
97	99	98.9	99.1	99.5	99.2	99.5
98	99.9	99.8	100	100.4	100.1	100.4
99	100.8	100.7	100.9	101.2	101	101.3
100	101.8	101.7	101.8	102.2	101.9	102.2

Odds of living to age in Guinea vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 66.9% in Guinea and 66.2% in Zimbabwe are expected to survive till at least 60 years old, 51.3% and 47.3% will live to 70 years or older, 26% and 23.5% to 80+ years, and 4.56% and 4.99% 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			Zimbabwe
	Average	Male	Female	Average	Male	Female
1	93.7%	93.1%	94.3%	96.9%	96.6%	97.3%
2	92.8%	92.2%	93.5%	96.5%	96.1%	96.8%
3	92.1%	91.4%	92.8%	96.2%	95.8%	96.5%
4	91.5%	90.8%	92.2%	95.9%	95.6%	96.3%
5	91%	90.3%	91.7%	95.8%	95.5%	96.1%
6	90.6%	89.9%	91.3%	95.7%	95.3%	96%
7	90.3%	89.6%	91%	95.6%	95.2%	95.9%
8	90%	89.3%	90.7%	95.5%	95.1%	95.8%
9	89.7%	89.1%	90.4%	95.4%	95.1%	95.8%
10	89.5%	88.9%	90.2%	95.3%	95%	95.7%
11	89.3%	88.7%	90%	95.3%	94.9%	95.6%
12	89.2%	88.5%	89.8%	95.2%	94.8%	95.6%
13	89%	88.4%	89.6%	95.1%	94.8%	95.5%
14	88.8%	88.2%	89.5%	95%	94.7%	95.4%
15	88.6%	88%	89.3%	94.9%	94.6%	95.3%
16	88.5%	87.8%	89.1%	94.8%	94.5%	95.2%
17	88.2%	87.6%	88.9%	94.7%	94.3%	95.1%
18	88%	87.4%	88.7%	94.6%	94.2%	95%
19	87.8%	87.1%	88.4%	94.4%	94%	94.9%
20	87.5%	86.8%	88.2%	94.2%	93.8%	94.7%
21	87.2%	86.5%	87.9%	94%	93.5%	94.5%
22	86.9%	86.1%	87.7%	93.8%	93.3%	94.4%
23	86.6%	85.8%	87.4%	93.6%	93%	94.2%
24	86.3%	85.4%	87.1%	93.3%	92.7%	93.9%
25	85.9%	85%	86.9%	93.1%	92.4%	93.7%
26	85.6%	84.7%	86.6%	92.8%	92.1%	93.5%
27	85.3%	84.3%	86.3%	92.5%	91.7%	93.2%
28	85%	84%	86%	92.1%	91.4%	92.9%
29	84.6%	83.6%	85.6%	91.8%	91%	92.6%
30	84.3%	83.3%	85.3%	91.4%	90.6%	92.3%
31	83.9%	82.9%	85%	91.1%	90.1%	91.9%
32	83.6%	82.5%	84.6%	90.7%	89.7%	91.6%
33	83.2%	82.2%	84.3%	90.2%	89.2%	91.2%
34	82.8%	81.8%	83.9%	89.8%	88.7%	90.8%
35	82.5%	81.4%	83.6%	89.3%	88.1%	90.4%
36	82.1%	81%	83.2%	88.8%	87.5%	89.9%
37	81.7%	80.6%	82.9%	88.2%	86.9%	89.5%
38	81.3%	80.2%	82.5%	87.7%	86.3%	89%
39	80.9%	79.8%	82.1%	87.1%	85.6%	88.4%
40	80.5%	79.3%	81.7%	86.4%	84.9%	87.9%
41	80%	78.9%	81.2%	85.8%	84.1%	87.3%
42	79.6%	78.4%	80.8%	85.1%	83.3%	86.7%
43	79.1%	77.9%	80.3%	84.4%	82.5%	86.1%
44	78.6%	77.4%	79.8%	83.6%	81.6%	85.5%
45	78.1%	76.9%	79.3%	82.9%	80.7%	84.8%
46	77.6%	76.3%	78.8%	82%	79.7%	84.1%
47	77%	75.8%	78.3%	81.2%	78.7%	83.4%
48	76.5%	75.2%	77.8%	80.3%	77.7%	82.6%
49	75.9%	74.6%	77.3%	79.4%	76.6%	81.8%
50	75.3%	73.9%	76.7%	78.4%	75.4%	81%
51	74.6%	73.2%	76.1%	77.4%	74.2%	80.1%
52	73.9%	72.4%	75.4%	76.3%	73%	79.1%
53	73.2%	71.6%	74.7%	75.2%	71.7%	78.2%
54	72.4%	70.8%	74%	74.1%	70.3%	77.2%
55	71.6%	69.9%	73.3%	72.9%	69%	76.1%
56	70.7%	69%	72.5%	71.7%	67.5%	75%
57	69.9%	68%	71.6%	70.4%	66%	73.9%
58	68.9%	67%	70.8%	69.1%	64.5%	72.7%
59	67.9%	66%	69.8%	67.6%	62.9%	71.4%
60	66.9%	64.9%	68.8%	66.2%	61.2%	70.1%
61	65.8%	63.7%	67.8%	64.6%	59.5%	68.7%
62	64.5%	62.4%	66.6%	63%	57.7%	67.2%
63	63.2%	61%	65.3%	61.2%	55.8%	65.7%
64	61.8%	59.5%	64%	59.5%	53.8%	64%
65	60.3%	57.9%	62.5%	57.6%	51.8%	62.3%
66	58.7%	56.2%	61%	55.6%	49.7%	60.5%
67	57%	54.5%	59.3%	53.6%	47.6%	58.6%
68	55.2%	52.6%	57.5%	51.6%	45.4%	56.7%
69	53.3%	50.7%	55.7%	49.5%	43.2%	54.7%
70	51.3%	48.7%	53.6%	47.3%	40.9%	52.6%
71	49.1%	46.5%	51.5%	45.1%	38.6%	50.4%
72	46.9%	44.3%	49.2%	42.8%	36.3%	48.2%
73	44.5%	41.9%	46.8%	40.4%	33.9%	45.9%
74	42%	39.5%	44.3%	38%	31.4%	43.6%
75	39.5%	37%	41.7%	35.6%	29%	41.2%
76	36.9%	34.4%	39.1%	33.2%	26.6%	38.7%
77	34.2%	31.8%	36.3%	30.7%	24.3%	36.3%
78	31.5%	29.1%	33.5%	28.3%	21.9%	33.8%
79	28.7%	26.4%	30.7%	25.9%	19.7%	31.3%
80	26%	23.8%	27.8%	23.5%	17.5%	28.8%
81	23.2%	21.2%	25%	21.2%	15.4%	26.4%
82	20.5%	18.6%	22.2%	19%	13.4%	24%
83	17.9%	16.2%	19.5%	16.8%	11.5%	21.5%
84	15.5%	13.9%	16.8%	14.7%	9.78%	19.1%
85	13.2%	11.7%	14.4%	12.7%	8.2%	16.8%
86	11%	9.77%	12.1%	10.8%	6.78%	14.5%
87	9.09%	7.98%	10%	9.1%	5.53%	12.4%
88	7.37%	6.38%	8.21%	7.56%	4.44%	10.5%
89	5.86%	4.99%	6.6%	6.18%	3.51%	8.72%
90	4.56%	3.8%	5.21%	4.99%	2.73%	7.15%
91	3.47%	2.81%	4.03%	3.95%	2.09%	5.75%
92	2.58%	2.02%	3.06%	3.08%	1.57%	4.57%
93	1.87%	1.41%	2.26%	2.36%	1.15%	3.55%
94	1.32%	0.95%	1.63%	1.77%	0.83%	2.71%
95	0.91%	0.63%	1.14%	1.3%	0.59%	2.02%
96	0.6%	0.4%	0.77%	0.94%	0.4%	1.47%
97	0.39%	0.25%	0.51%	0.66%	0.27%	1.05%
98	0.24%	0.15%	0.32%	0.46%	0.18%	0.73%
99	0.15%	0.09%	0.2%	0.31%	0.12%	0.5%
100	0.09%	0.05%	0.12%	0.2%	0.07%	0.33%

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 3.05% in Zimbabwe, 0.41% vs 0.42% at age 30, 1.69% vs 2.37% at 60, and 10.5% vs 9.89% at 80.

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

Table

Age	Probability of dying
	Guinea			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	6.31%	6.88%	5.72%	3.05%	3.4%	2.7%
1	0.92%	0.99%	0.85%	0.5%	0.48%	0.52%
2	0.77%	0.82%	0.73%	0.32%	0.32%	0.32%
3	0.65%	0.67%	0.62%	0.22%	0.22%	0.22%
4	0.54%	0.55%	0.53%	0.16%	0.17%	0.16%
5	0.45%	0.46%	0.45%	0.12%	0.13%	0.12%
6	0.38%	0.38%	0.38%	0.1%	0.11%	0.1%
7	0.32%	0.31%	0.33%	0.09%	0.1%	0.09%
8	0.27%	0.26%	0.28%	0.08%	0.09%	0.08%
9	0.23%	0.22%	0.24%	0.08%	0.08%	0.07%
10	0.21%	0.2%	0.22%	0.07%	0.08%	0.07%
11	0.19%	0.18%	0.2%	0.07%	0.08%	0.07%
12	0.19%	0.18%	0.19%	0.08%	0.08%	0.07%
13	0.19%	0.18%	0.19%	0.08%	0.09%	0.08%
14	0.2%	0.2%	0.2%	0.1%	0.1%	0.09%
15	0.22%	0.22%	0.21%	0.11%	0.12%	0.1%
16	0.24%	0.25%	0.23%	0.13%	0.14%	0.12%
17	0.26%	0.28%	0.25%	0.15%	0.17%	0.13%
18	0.29%	0.31%	0.26%	0.17%	0.2%	0.15%
19	0.31%	0.35%	0.28%	0.19%	0.22%	0.16%
20	0.33%	0.38%	0.29%	0.21%	0.25%	0.18%
21	0.35%	0.4%	0.3%	0.23%	0.27%	0.19%
22	0.36%	0.41%	0.31%	0.25%	0.29%	0.21%
23	0.37%	0.42%	0.31%	0.27%	0.31%	0.23%
24	0.37%	0.42%	0.32%	0.29%	0.33%	0.25%
25	0.38%	0.42%	0.34%	0.31%	0.35%	0.26%
26	0.38%	0.42%	0.35%	0.33%	0.37%	0.29%
27	0.39%	0.42%	0.36%	0.35%	0.4%	0.31%
28	0.4%	0.42%	0.37%	0.37%	0.42%	0.33%
29	0.41%	0.43%	0.38%	0.4%	0.45%	0.35%
30	0.41%	0.44%	0.39%	0.42%	0.48%	0.37%
31	0.42%	0.45%	0.4%	0.44%	0.51%	0.39%
32	0.43%	0.46%	0.41%	0.47%	0.54%	0.41%
33	0.44%	0.46%	0.41%	0.5%	0.58%	0.44%
34	0.45%	0.47%	0.42%	0.54%	0.62%	0.47%
35	0.46%	0.48%	0.43%	0.57%	0.66%	0.5%
36	0.47%	0.49%	0.45%	0.61%	0.71%	0.53%
37	0.49%	0.51%	0.47%	0.64%	0.75%	0.55%
38	0.51%	0.52%	0.49%	0.68%	0.8%	0.59%
39	0.53%	0.55%	0.51%	0.72%	0.85%	0.62%
40	0.56%	0.57%	0.54%	0.76%	0.9%	0.65%
41	0.58%	0.6%	0.56%	0.8%	0.95%	0.68%
42	0.6%	0.63%	0.58%	0.84%	1%	0.71%
43	0.62%	0.65%	0.6%	0.89%	1.06%	0.75%
44	0.64%	0.68%	0.61%	0.93%	1.12%	0.78%
45	0.66%	0.7%	0.62%	0.99%	1.19%	0.83%
46	0.68%	0.73%	0.64%	1.04%	1.25%	0.87%
47	0.71%	0.77%	0.66%	1.09%	1.33%	0.92%
48	0.76%	0.83%	0.7%	1.16%	1.41%	0.98%
49	0.81%	0.89%	0.74%	1.22%	1.5%	1.03%
50	0.87%	0.97%	0.8%	1.3%	1.6%	1.1%
51	0.94%	1.04%	0.86%	1.36%	1.68%	1.15%
52	1.01%	1.12%	0.92%	1.44%	1.78%	1.23%
53	1.07%	1.19%	0.97%	1.52%	1.87%	1.29%
54	1.13%	1.25%	1.03%	1.6%	1.97%	1.36%
55	1.19%	1.31%	1.09%	1.69%	2.09%	1.44%
56	1.25%	1.38%	1.15%	1.79%	2.2%	1.53%
57	1.33%	1.46%	1.22%	1.91%	2.33%	1.62%
58	1.43%	1.56%	1.31%	2.04%	2.48%	1.73%
59	1.55%	1.69%	1.42%	2.19%	2.65%	1.85%
60	1.69%	1.85%	1.56%	2.37%	2.87%	1.99%
61	1.86%	2.03%	1.71%	2.53%	3.04%	2.13%
62	2.04%	2.23%	1.88%	2.73%	3.28%	2.31%
63	2.23%	2.44%	2.07%	2.92%	3.5%	2.49%
64	2.44%	2.65%	2.27%	3.14%	3.74%	2.7%
65	2.66%	2.88%	2.49%	3.38%	4.01%	2.93%
66	2.9%	3.12%	2.73%	3.58%	4.26%	3.1%
67	3.16%	3.39%	2.99%	3.82%	4.56%	3.31%
68	3.46%	3.69%	3.29%	4.09%	4.9%	3.54%
69	3.8%	4.03%	3.63%	4.38%	5.25%	3.78%
70	4.18%	4.41%	4%	4.75%	5.7%	4.11%
71	4.59%	4.84%	4.41%	5.06%	6.09%	4.37%
72	5.05%	5.31%	4.86%	5.51%	6.62%	4.76%
73	5.54%	5.82%	5.34%	5.92%	7.12%	5.11%
74	6.07%	6.37%	5.85%	6.38%	7.68%	5.51%
75	6.64%	6.97%	6.41%	6.87%	8.28%	5.94%
76	7.27%	7.63%	7.02%	7.37%	8.9%	6.37%
77	7.97%	8.36%	7.7%	7.89%	9.57%	6.81%
78	8.74%	9.15%	8.46%	8.54%	10.4%	7.38%
79	9.6%	10%	9.3%	9.11%	11.1%	7.87%
80	10.5%	11%	10.2%	9.89%	12.1%	8.58%
81	11.5%	12%	11.2%	10.5%	12.9%	9.17%
82	12.6%	13.1%	12.3%	11.6%	14%	10.2%
83	13.8%	14.2%	13.4%	12.5%	15%	11.2%
84	15%	15.5%	14.6%	13.6%	16.2%	12.3%
85	16.2%	16.8%	15.8%	14.7%	17.3%	13.3%
86	17.5%	18.3%	17%	15.8%	18.5%	14.5%
87	19%	20%	18.3%	16.9%	19.7%	15.6%
88	20.5%	21.9%	19.6%	18.2%	20.9%	16.8%
89	22.1%	23.9%	21%	19.3%	22.2%	18%
90	23.8%	26%	22.6%	20.9%	23.7%	19.6%
91	25.6%	28.1%	24.2%	21.9%	24.9%	20.6%
92	27.5%	30.2%	26%	23.5%	26.4%	22.2%
93	29.4%	32.3%	28%	24.9%	27.9%	23.7%
94	31.4%	34.2%	30.1%	26.4%	29.5%	25.4%
95	33.5%	36.2%	32.3%	28.1%	31%	27.1%
96	35.5%	38.1%	34.4%	29.6%	32.5%	28.7%
97	37.4%	40%	36.4%	31.1%	33.9%	30.2%
98	39.3%	42%	38.4%	32.4%	35.2%	31.7%
99	41.1%	44%	40.2%	34.3%	36.9%	33.6%
100	43.1%	45.9%	42.3%	35.7%	38.2%	35%

Death rate by age in Guinea compared to Zimbabwe

In Guinea, the most common age of death is 0, compared to 0 in Zimbabwe. The median age of death is 70.6 in Guinea and 68.8 in Zimbabwe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Guinea			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	6,306	6,878	5,716	3,053	3,402	2,699
1	867	925	805	484	463	505
2	719	754	682	308	305	311
3	598	616	579	211.7	213.4	209.9
4	497	504	491	153.9	157.9	149.8
5	414	412	415	116.6	119.9	113.1
6	345	339	351	98.5	103	94
7	288.2	279.6	297.3	87.5	92.4	82.5
8	243.5	234	253.4	78.6	83.3	73.8
9	209.6	200.3	219.4	72.9	76.9	68.8
10	185.9	177.3	195	70.4	74.5	66.2
11	171.6	164	179.6	70.9	76.1	65.5
12	165.7	159.4	172.3	73.9	79.4	68.4
13	167.7	163.1	172.4	80.4	85.9	74.8
14	176.5	174.3	178.8	90.9	97.8	83.9
15	191.4	192.7	190	106.1	114.9	97.1
16	210.8	217	204.4	122.8	135.4	110
17	232.6	245.2	219.4	143.2	161.3	124.9
18	254.5	274.7	233.5	164.9	188.9	140.6
19	274.2	302	244.9	182.4	209.2	155.3
20	290.5	326	253.9	200.4	229.9	170.6
21	303	343	261.2	216.1	249.9	182.2
22	312	354	267.8	234.1	270.1	198.3
23	317	358	274.8	251.5	289	214.4
24	322	359	282.7	268.5	307	231.1
25	325	357	291.4	286.4	326	248.2
26	328	355	301	304	344	267.1
27	332	354	310	324	365	286.2
28	337	356	318	343	387	303
29	343	359	326	363	409	323
30	349	365	333	385	436	341
31	355	371	339	403	458	356
32	360	376	344	428	487	379
33	365	381	349	453	517	400
34	370	385	355	481	550	423
35	377	390	363	512	586	450
36	385	397	373	539	619	473
37	396	407	386	568	655	496
38	411	421	402	599	691	522
39	428	437	420	627	725	545
40	447	456	438	659	766	571
41	465	475	455	685	795	592
42	480	492	469	717	834	617
43	493	508	479	747	871	642
44	503	523	486	779	911	669
45	514	538	493	816	958	702
46	528	558	503	850	1,000	731
47	549	585	519	888	1,046	766
48	578	621	542	929	1,096	806
49	614	664	573	969	1,146	846
50	657	713	610	1,018	1,207	892
51	702	764	651	1,050	1,245	925
52	745	811	691	1,100	1,298	971
53	784	852	728	1,140	1,342	1,009
54	818	886	762	1,184	1,389	1,052
55	851	918	795	1,233	1,440	1,097
56	886	951	831	1,284	1,485	1,146
57	928	994	874	1,341	1,537	1,197
58	983	1,049	928	1,411	1,599	1,257
59	1,050	1,118	993	1,481	1,664	1,318
60	1,130	1,201	1,071	1,571	1,756	1,398
61	1,220	1,293	1,159	1,632	1,809	1,463
62	1,315	1,390	1,254	1,718	1,890	1,553
63	1,412	1,485	1,352	1,790	1,952	1,636
64	1,508	1,578	1,453	1,866	2,014	1,726
65	1,604	1,667	1,556	1,945	2,075	1,824
66	1,702	1,755	1,662	1,993	2,121	1,875
67	1,803	1,845	1,774	2,050	2,172	1,938
68	1,911	1,941	1,893	2,111	2,224	2,007
69	2,024	2,042	2,018	2,166	2,269	2,069
70	2,141	2,146	2,146	2,250	2,336	2,164
71	2,256	2,250	2,272	2,281	2,352	2,203
72	2,366	2,349	2,391	2,356	2,400	2,294
73	2,465	2,439	2,499	2,393	2,412	2,346
74	2,552	2,516	2,594	2,427	2,414	2,401
75	2,624	2,578	2,675	2,448	2,404	2,446
76	2,682	2,625	2,742	2,444	2,370	2,468
77	2,725	2,654	2,796	2,424	2,321	2,470
78	2,751	2,665	2,835	2,416	2,272	2,497
79	2,756	2,652	2,854	2,358	2,186	2,465
80	2,734	2,611	2,847	2,328	2,113	2,474
81	2,680	2,540	2,807	2,235	1,982	2,419
82	2,592	2,438	2,730	2,197	1,873	2,450
83	2,469	2,306	2,613	2,102	1,730	2,403
84	2,314	2,150	2,458	1,999	1,583	2,345
85	2,134	1,977	2,272	1,858	1,418	2,232
86	1,935	1,791	2,062	1,709	1,253	2,102
87	1,725	1,596	1,839	1,540	1,088	1,934
88	1,510	1,395	1,611	1,372	930	1,762
89	1,296	1,190	1,388	1,196	779	1,570
90	1,087	986	1,175	1,040	647	1,401
91	891	790	977	863	518	1,184
92	711	611	796	724	414	1,016
93	552	455	633	588	322	843
94	416	327	490	469	244.7	687
95	303	227	367	366	181.8	548
96	213.9	152.6	265	277.6	131.3	423
97	145.7	99.3	184.2	205	92.4	318
98	95.7	62.5	123.3	147.6	63.5	232.4
99	60.7	38	79.6	105.4	43.2	168.4
100	0	0	0	24.9	0	53

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 Zimbabwe 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 Zimbabwe: Data-driven Comparison

By topic vs comparisons:

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