Life Expectancy in Guinea-Bissau vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

Guinea-Bissau

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	Guinea-Bissau			South Africa
	Average	Male	Female	Average	Male	Female
100	102	101.9	102.1	103.4	103.1	103.5
99	101.1	101	101.2	102.5	102.3	102.6
98	100.2	100.1	100.3	101.7	101.5	101.7
97	99.3	99.2	99.4	100.8	100.7	100.9
96	98.4	98.3	98.5	100	99.9	100
95	97.6	97.4	97.6	99.2	99.1	99.2
94	96.7	96.6	96.8	98.4	98.3	98.4
93	95.9	95.7	95.9	97.6	97.5	97.7
92	95	94.9	95.1	96.9	96.7	96.9
91	94.2	94	94.3	96.1	96	96.2
90	93.4	93.2	93.5	95.4	95.2	95.5
89	92.6	92.4	92.7	94.7	94.4	94.8
88	91.8	91.6	92	94	93.7	94.1
87	91	90.8	91.2	93.3	92.9	93.4
86	90.3	90	90.4	92.6	92.2	92.7
85	89.5	89.3	89.7	91.9	91.5	92.1
84	88.8	88.5	89	91.3	90.8	91.5
83	88.1	87.8	88.3	90.6	90.1	90.9
82	87.4	87.1	87.7	90	89.4	90.3
81	86.8	86.4	87	89.4	88.7	89.7
80	86.1	85.7	86.4	88.8	88	89.1
79	85.5	85.1	85.8	88.1	87.4	88.5
78	84.9	84.4	85.2	87.5	86.7	88
77	84.3	83.8	84.7	86.9	86	87.4
76	83.7	83.2	84.1	86.3	85.3	86.9
75	83.2	82.6	83.6	85.7	84.7	86.4
74	82.7	82.1	83.1	85.2	84	85.9
73	82.2	81.5	82.6	84.6	83.4	85.4
72	81.7	81	82.1	84.1	82.8	84.9
71	81.2	80.5	81.7	83.6	82.2	84.5
70	80.7	80	81.3	83.1	81.7	84.1
69	80.3	79.5	80.9	82.6	81.1	83.6
68	79.9	79.1	80.5	82.1	80.5	83.2
67	79.5	78.6	80.1	81.6	80	82.8
66	79.1	78.2	79.8	81.2	79.4	82.4
65	78.7	77.8	79.4	80.7	78.9	82.1
64	78.4	77.4	79.1	80.3	78.4	81.7
63	78	77	78.8	79.9	77.9	81.4
62	77.7	76.6	78.5	79.4	77.4	81
61	77.4	76.3	78.2	79	76.9	80.7
60	77.1	75.9	78	78.7	76.5	80.4
59	76.8	75.6	77.7	78.3	76	80.1
58	76.5	75.3	77.5	77.9	75.6	79.8
57	76.3	75	77.2	77.5	75.2	79.5
56	76	74.7	77	77.2	74.8	79.2
55	75.7	74.4	76.8	76.9	74.4	78.9
54	75.5	74.1	76.6	76.5	74	78.7
53	75.2	73.8	76.4	76.2	73.6	78.4
52	75	73.5	76.2	75.9	73.3	78.2
51	74.8	73.3	76	75.6	72.9	77.9
50	74.6	73	75.8	75.3	72.6	77.7
49	74.4	72.8	75.6	75	72.2	77.4
48	74.2	72.6	75.5	74.7	71.9	77.2
47	74	72.4	75.3	74.4	71.6	77
46	73.8	72.1	75.1	74.2	71.3	76.7
45	73.6	71.9	75	73.9	71	76.5
44	73.4	71.7	74.8	73.6	70.7	76.3
43	73.3	71.5	74.7	73.4	70.4	76.1
42	73.1	71.4	74.6	73.1	70.2	75.8
41	72.9	71.2	74.4	72.9	69.9	75.6
40	72.8	71	74.3	72.6	69.7	75.4
39	72.6	70.8	74.2	72.4	69.4	75.2
38	72.5	70.7	74	72.2	69.2	75
37	72.3	70.5	73.9	72	68.9	74.8
36	72.2	70.3	73.8	71.8	68.7	74.6
35	72	70.2	73.7	71.6	68.5	74.5
34	71.9	70	73.5	71.4	68.3	74.3
33	71.8	69.9	73.4	71.2	68.1	74.1
32	71.7	69.7	73.3	71	67.9	73.9
31	71.5	69.6	73.2	70.8	67.7	73.8
30	71.4	69.5	73.1	70.6	67.5	73.6
29	71.3	69.3	73	70.4	67.3	73.5
28	71.2	69.2	72.9	70.3	67.1	73.3
27	71.1	69.1	72.8	70.1	66.9	73.2
26	70.9	68.9	72.7	70	66.8	73.1
25	70.8	68.8	72.6	69.9	66.6	73
24	70.7	68.7	72.5	69.7	66.5	72.9
23	70.6	68.5	72.4	69.6	66.3	72.8
22	70.5	68.4	72.4	69.5	66.2	72.7
21	70.4	68.3	72.3	69.4	66.1	72.6
20	70.3	68.2	72.2	69.3	66	72.6
19	70.2	68.1	72.1	69.2	65.9	72.5
18	70.1	68	72	69.2	65.8	72.4
17	70	67.9	72	69.1	65.7	72.4
16	69.9	67.8	71.9	69	65.7	72.3
15	69.9	67.7	71.8	69	65.6	72.3
14	69.8	67.6	71.8	68.9	65.6	72.3
13	69.7	67.6	71.7	68.9	65.5	72.2
12	69.7	67.5	71.7	68.9	65.5	72.2
11	69.6	67.4	71.6	68.9	65.5	72.2
10	69.6	67.4	71.5	68.8	65.4	72.2
9	69.5	67.3	71.5	68.8	65.4	72.1
8	69.4	67.2	71.4	68.8	65.4	72.1
7	69.3	67.1	71.3	68.8	65.4	72.1
6	69.2	67	71.2	68.7	65.3	72.1
5	69.1	66.9	71.1	68.7	65.3	72
4	68.9	66.7	70.9	68.6	65.2	72
3	68.7	66.5	70.7	68.5	65.1	71.9
2	68.3	66.1	70.4	68.4	64.9	71.8
1	67.7	65.5	69.8	68.1	64.7	71.5
0	64.6	62.1	66.9	66.7	63.1	70.2

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-Bissau can expect to live to 71.4 years compared to 70.6 in South Africa, rising to 78.7 and 80.7 at 65, and to 86.1 and 88.8 at 80 — higher than the 64.6 and 66.7 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Guinea-Bissau and South Africa.

Probability of surviving to a given age

Chart Table

Guinea-Bissau

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	Guinea-Bissau			South Africa
	Average	Male	Female	Average	Male	Female
100	0.17%	0.1%	0.25%	1.63%	1%	2.22%
99	0.27%	0.15%	0.39%	2.11%	1.28%	2.88%
98	0.41%	0.24%	0.58%	2.68%	1.62%	3.67%
97	0.61%	0.36%	0.85%	3.36%	2.02%	4.59%
96	0.89%	0.54%	1.23%	4.15%	2.5%	5.67%
95	1.27%	0.79%	1.73%	5.06%	3.06%	6.91%
94	1.76%	1.12%	2.37%	6.09%	3.7%	8.3%
93	2.4%	1.55%	3.18%	7.24%	4.43%	9.84%
92	3.19%	2.11%	4.18%	8.49%	5.25%	11.5%
91	4.14%	2.81%	5.38%	9.86%	6.16%	13.3%
90	5.32%	3.67%	6.82%	11.3%	7.18%	15.2%
89	6.68%	4.71%	8.48%	12.9%	8.29%	17.3%
88	8.27%	5.94%	10.4%	14.6%	9.51%	19.4%
87	10.1%	7.36%	12.5%	16.4%	10.8%	21.7%
86	12.1%	8.99%	14.9%	18.2%	12.2%	24%
85	14.3%	10.8%	17.4%	20.1%	13.7%	26.3%
84	16.7%	12.8%	20.2%	22.1%	15.2%	28.6%
83	19.3%	15%	23%	24%	16.8%	31%
82	21.9%	17.3%	26%	26%	18.5%	33.4%
81	24.7%	19.7%	28.9%	28.1%	20.2%	35.8%
80	27.5%	22.3%	32%	30.2%	22%	38.2%
79	30.4%	24.9%	35.1%	32.3%	23.9%	40.6%
78	33.2%	27.5%	38.1%	34.6%	25.9%	43%
77	36.1%	30.2%	41.1%	36.8%	28%	45.4%
76	38.9%	32.9%	44.1%	39%	30.1%	47.7%
75	41.7%	35.6%	46.9%	41.2%	32.3%	50%
74	44.4%	38.3%	49.7%	43.4%	34.4%	52.1%
73	47%	40.9%	52.4%	45.5%	36.6%	54.2%
72	49.6%	43.5%	54.9%	47.5%	38.7%	56.2%
71	51.9%	45.9%	57.3%	49.6%	40.8%	58.2%
70	54.3%	48.3%	59.6%	51.6%	42.9%	60%
69	56.4%	50.6%	61.7%	53.5%	45.1%	61.9%
68	58.5%	52.8%	63.6%	55.5%	47.2%	63.6%
67	60.4%	54.9%	65.5%	57.3%	49.3%	65.3%
66	62.2%	56.9%	67.2%	59.2%	51.4%	66.8%
65	64%	58.8%	68.8%	60.9%	53.4%	68.3%
64	65.6%	60.6%	70.4%	62.6%	55.4%	69.8%
63	67.2%	62.4%	71.8%	64.2%	57.3%	71.1%
62	68.6%	64%	73.1%	65.7%	59.1%	72.4%
61	70%	65.6%	74.3%	67.2%	60.9%	73.6%
60	71.3%	67.1%	75.4%	68.7%	62.6%	74.7%
59	72.5%	68.4%	76.5%	70%	64.3%	75.9%
58	73.6%	69.7%	77.5%	71.4%	65.9%	76.9%
57	74.7%	70.9%	78.4%	72.7%	67.5%	78%
56	75.7%	72.1%	79.2%	73.9%	69%	78.9%
55	76.6%	73.2%	80%	75.1%	70.5%	79.9%
54	77.5%	74.3%	80.8%	76.2%	71.9%	80.7%
53	78.4%	75.3%	81.5%	77.3%	73.2%	81.6%
52	79.2%	76.2%	82.2%	78.4%	74.5%	82.4%
51	79.9%	77.1%	82.8%	79.4%	75.7%	83.1%
50	80.7%	78%	83.4%	80.3%	76.9%	83.9%
49	81.3%	78.8%	84%	81.2%	78%	84.6%
48	82%	79.5%	84.5%	82.1%	79.1%	85.3%
47	82.6%	80.2%	85%	83%	80.1%	85.9%
46	83.1%	80.9%	85.4%	83.8%	81.1%	86.6%
45	83.7%	81.5%	85.9%	84.6%	82%	87.2%
44	84.2%	82.1%	86.3%	85.3%	82.9%	87.8%
43	84.7%	82.7%	86.7%	86%	83.7%	88.4%
42	85.1%	83.2%	87.1%	86.7%	84.5%	89%
41	85.6%	83.7%	87.5%	87.4%	85.3%	89.6%
40	86%	84.2%	87.8%	88.1%	86%	90.1%
39	86.4%	84.7%	88.1%	88.7%	86.7%	90.6%
38	86.8%	85.1%	88.5%	89.2%	87.4%	91.1%
37	87.1%	85.5%	88.8%	89.8%	88.1%	91.6%
36	87.5%	85.9%	89%	90.4%	88.7%	92%
35	87.8%	86.3%	89.3%	90.9%	89.3%	92.5%
34	88.1%	86.7%	89.6%	91.4%	89.9%	92.9%
33	88.4%	87%	89.8%	91.8%	90.4%	93.3%
32	88.7%	87.4%	90.1%	92.3%	91%	93.6%
31	89%	87.7%	90.3%	92.7%	91.5%	94%
30	89.2%	88%	90.5%	93.1%	91.9%	94.3%
29	89.5%	88.3%	90.7%	93.5%	92.4%	94.6%
28	89.7%	88.6%	90.9%	93.9%	92.8%	94.9%
27	90%	88.9%	91.1%	94.2%	93.2%	95.2%
26	90.2%	89.1%	91.3%	94.5%	93.6%	95.4%
25	90.4%	89.4%	91.5%	94.8%	94%	95.7%
24	90.7%	89.7%	91.7%	95.1%	94.3%	95.9%
23	90.9%	89.9%	91.8%	95.3%	94.6%	96%
22	91.1%	90.2%	92%	95.5%	94.9%	96.2%
21	91.3%	90.4%	92.2%	95.7%	95.1%	96.3%
20	91.5%	90.6%	92.3%	95.9%	95.4%	96.5%
19	91.6%	90.9%	92.5%	96.1%	95.6%	96.6%
18	91.8%	91%	92.6%	96.2%	95.7%	96.7%
17	92%	91.2%	92.7%	96.3%	95.9%	96.8%
16	92.1%	91.4%	92.8%	96.4%	96%	96.9%
15	92.2%	91.5%	92.9%	96.5%	96.1%	97%
14	92.3%	91.6%	93%	96.6%	96.2%	97%
13	92.4%	91.7%	93.1%	96.6%	96.2%	97.1%
12	92.5%	91.8%	93.2%	96.7%	96.3%	97.1%
11	92.6%	91.9%	93.3%	96.7%	96.3%	97.1%
10	92.7%	92%	93.4%	96.8%	96.4%	97.2%
9	92.8%	92.2%	93.5%	96.8%	96.4%	97.2%
8	92.9%	92.3%	93.6%	96.8%	96.5%	97.2%
7	93.1%	92.4%	93.7%	96.9%	96.5%	97.3%
6	93.2%	92.6%	93.8%	96.9%	96.6%	97.3%
5	93.4%	92.8%	94%	97%	96.7%	97.4%
4	93.6%	93%	94.2%	97.1%	96.8%	97.4%
3	94%	93.4%	94.6%	97.2%	96.9%	97.6%
2	94.5%	94%	95.1%	97.5%	97.2%	97.8%
1	95.3%	94.8%	95.9%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 71.3% of newborns in Guinea-Bissau and 68.7% in South Africa are expected to live past 60, 54.3% and 51.6% past 70, 27.5% and 30.2% past 80, and only 5.32% and 11.3% past 90.

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

Odds of dying at each age

Chart Table

Guinea-Bissau

Male

Female

South Africa

Male

Female

1x

Age	Probability of dying
	Guinea-Bissau			South Africa
	Average	Male	Female	Average	Male	Female
100	37.5%	38.9%	36.9%	23.6%	22.9%	23.9%
99	36.1%	37.5%	35.4%	22.5%	22%	22.8%
98	34.2%	35.7%	33.5%	21.3%	21%	21.5%
97	32.8%	34.3%	32%	20.2%	20%	20.2%
96	31.3%	32.8%	30.5%	19%	19.1%	19%
95	29.7%	31.3%	28.9%	18%	18.2%	17.9%
94	28%	29.6%	27.1%	16.9%	17.3%	16.8%
93	26.3%	28%	25.5%	15.9%	16.5%	15.6%
92	24.8%	26.4%	23.9%	14.8%	15.6%	14.5%
91	23.1%	24.8%	22.2%	13.8%	14.8%	13.5%
90	22.1%	23.6%	21.2%	13%	14.1%	12.6%
89	20.4%	22%	19.5%	12.3%	13.5%	11.8%
88	19.2%	20.7%	18.3%	11.5%	12.8%	11.1%
87	17.9%	19.3%	17%	10.8%	12.1%	10.3%
86	16.7%	18.1%	15.9%	10.1%	11.4%	9.6%
85	15.5%	16.8%	14.7%	9.43%	10.7%	8.88%
84	14.4%	15.7%	13.6%	8.78%	10%	8.21%
83	13.2%	14.5%	12.4%	8.21%	9.46%	7.62%
82	12.2%	13.4%	11.4%	7.71%	8.97%	7.1%
81	11%	12.2%	10.3%	7.3%	8.57%	6.66%
80	10.3%	11.4%	9.62%	6.96%	8.26%	6.28%
79	9.4%	10.5%	8.71%	6.67%	8%	5.94%
78	8.69%	9.71%	8.04%	6.37%	7.73%	5.61%
77	7.9%	8.89%	7.28%	6.06%	7.42%	5.26%
76	7.28%	8.22%	6.7%	5.71%	7.05%	4.89%
75	6.69%	7.58%	6.14%	5.35%	6.64%	4.53%
74	6.1%	6.96%	5.58%	4.98%	6.22%	4.17%
73	5.56%	6.39%	5.07%	4.64%	5.83%	3.85%
72	5.1%	5.88%	4.63%	4.34%	5.49%	3.57%
71	4.57%	5.32%	4.12%	4.09%	5.2%	3.33%
70	4.26%	4.97%	3.84%	3.87%	4.95%	3.12%
69	3.82%	4.5%	3.4%	3.67%	4.72%	2.92%
68	3.51%	4.15%	3.11%	3.48%	4.5%	2.74%
67	3.2%	3.82%	2.82%	3.28%	4.28%	2.55%
66	2.94%	3.52%	2.57%	3.08%	4.04%	2.37%
65	2.73%	3.28%	2.37%	2.88%	3.79%	2.19%
64	2.51%	3.02%	2.16%	2.68%	3.55%	2.03%
63	2.31%	2.79%	1.97%	2.5%	3.32%	1.88%
62	2.13%	2.58%	1.8%	2.34%	3.11%	1.75%
61	1.94%	2.35%	1.62%	2.2%	2.93%	1.65%
60	1.82%	2.2%	1.52%	2.08%	2.76%	1.55%
59	1.65%	2.01%	1.36%	1.98%	2.61%	1.47%
58	1.53%	1.86%	1.26%	1.88%	2.47%	1.39%
57	1.41%	1.72%	1.15%	1.78%	2.33%	1.32%
56	1.32%	1.61%	1.08%	1.68%	2.2%	1.24%
55	1.24%	1.51%	1%	1.58%	2.07%	1.16%
54	1.16%	1.42%	0.94%	1.49%	1.94%	1.09%
53	1.09%	1.33%	0.88%	1.4%	1.83%	1.02%
52	1.03%	1.25%	0.83%	1.32%	1.72%	0.96%
51	0.94%	1.15%	0.76%	1.25%	1.62%	0.91%
50	0.9%	1.09%	0.72%	1.19%	1.52%	0.87%
49	0.83%	1.01%	0.66%	1.13%	1.44%	0.84%
48	0.77%	0.94%	0.62%	1.08%	1.35%	0.8%
47	0.72%	0.88%	0.58%	1.03%	1.28%	0.78%
46	0.68%	0.82%	0.54%	0.98%	1.2%	0.75%
45	0.65%	0.78%	0.52%	0.93%	1.13%	0.73%
44	0.61%	0.73%	0.49%	0.88%	1.07%	0.7%
43	0.57%	0.69%	0.46%	0.84%	1.01%	0.68%
42	0.55%	0.65%	0.45%	0.8%	0.95%	0.65%
41	0.51%	0.61%	0.42%	0.76%	0.9%	0.63%
40	0.49%	0.58%	0.4%	0.73%	0.86%	0.6%
39	0.46%	0.55%	0.38%	0.69%	0.82%	0.57%
38	0.44%	0.52%	0.36%	0.66%	0.78%	0.54%
37	0.41%	0.49%	0.34%	0.63%	0.74%	0.51%
36	0.39%	0.47%	0.32%	0.6%	0.71%	0.49%
35	0.37%	0.44%	0.31%	0.57%	0.67%	0.46%
34	0.36%	0.42%	0.29%	0.54%	0.64%	0.44%
33	0.34%	0.4%	0.28%	0.51%	0.61%	0.42%
32	0.32%	0.38%	0.27%	0.49%	0.58%	0.4%
31	0.31%	0.36%	0.25%	0.46%	0.55%	0.38%
30	0.3%	0.35%	0.24%	0.44%	0.52%	0.36%
29	0.28%	0.34%	0.23%	0.41%	0.5%	0.33%
28	0.28%	0.33%	0.22%	0.39%	0.47%	0.31%
27	0.27%	0.32%	0.22%	0.36%	0.44%	0.28%
26	0.26%	0.31%	0.21%	0.33%	0.41%	0.25%
25	0.25%	0.3%	0.2%	0.3%	0.38%	0.23%
24	0.24%	0.3%	0.19%	0.28%	0.35%	0.2%
23	0.24%	0.29%	0.18%	0.25%	0.32%	0.18%
22	0.23%	0.28%	0.18%	0.23%	0.29%	0.17%
21	0.22%	0.26%	0.17%	0.21%	0.26%	0.15%
20	0.21%	0.25%	0.16%	0.19%	0.23%	0.14%
19	0.19%	0.23%	0.15%	0.16%	0.2%	0.13%
18	0.18%	0.21%	0.14%	0.14%	0.18%	0.11%
17	0.16%	0.19%	0.13%	0.12%	0.15%	0.1%
16	0.14%	0.16%	0.12%	0.11%	0.12%	0.09%
15	0.13%	0.14%	0.11%	0.09%	0.1%	0.07%
14	0.12%	0.13%	0.1%	0.07%	0.09%	0.06%
13	0.11%	0.12%	0.1%	0.06%	0.07%	0.05%
12	0.1%	0.11%	0.09%	0.05%	0.06%	0.04%
11	0.1%	0.11%	0.09%	0.04%	0.05%	0.04%
10	0.11%	0.12%	0.09%	0.04%	0.05%	0.03%
9	0.11%	0.12%	0.1%	0.04%	0.05%	0.03%
8	0.12%	0.13%	0.11%	0.04%	0.05%	0.03%
7	0.14%	0.15%	0.13%	0.04%	0.05%	0.04%
6	0.17%	0.18%	0.15%	0.05%	0.06%	0.04%
5	0.2%	0.21%	0.19%	0.07%	0.08%	0.06%
4	0.26%	0.28%	0.25%	0.1%	0.11%	0.08%
3	0.37%	0.4%	0.35%	0.15%	0.17%	0.12%
2	0.54%	0.58%	0.5%	0.22%	0.25%	0.2%
1	0.88%	0.94%	0.83%	0.35%	0.38%	0.32%
0	4.65%	5.15%	4.15%	2.19%	2.44%	1.93%

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

The annual chance of dying is 4.65% in the birth year in Guinea-Bissau and 2.19% in South Africa, 0.3% vs 0.44% at age 30, 1.82% vs 2.08% at 60, and 10.3% vs 6.96% at 80.

Death rate by age in Guinea-Bissau vs South Africa

Chart Table

Guinea-Bissau

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	Guinea-Bissau			South Africa
	Total	Male	Female	Total	Male	Female
100	10.5	0	24.3	359	204.6	501
99	98	57.6	136.6	475	280.8	655
98	141.4	85.4	194.6	572	340	787
97	201.5	124.9	273.7	677	406	928
96	279.6	177.9	375	789	478	1,077
95	377	246.6	499	909	558	1,236
94	493	331	643	1,031	642	1,393
93	631	435	810	1,148	729	1,540
92	791	558	1,001	1,257	818	1,670
91	959	695	1,195	1,363	912	1,794
90	1,173	865	1,447	1,476	1,014	1,924
89	1,366	1,035	1,657	1,585	1,118	2,045
88	1,587	1,228	1,900	1,686	1,220	2,150
87	1,803	1,424	2,129	1,775	1,315	2,238
86	2,022	1,627	2,357	1,845	1,397	2,299
85	2,219	1,819	2,554	1,897	1,467	2,335
84	2,407	2,014	2,732	1,937	1,530	2,353
83	2,545	2,169	2,850	1,972	1,591	2,363
82	2,671	2,318	2,955	2,008	1,656	2,371
81	2,719	2,409	2,966	2,052	1,732	2,383
80	2,842	2,546	3,078	2,102	1,819	2,399
79	2,853	2,605	3,052	2,156	1,914	2,411
78	2,888	2,674	3,064	2,202	2,006	2,410
77	2,852	2,688	2,994	2,228	2,080	2,386
76	2,832	2,707	2,950	2,228	2,126	2,335
75	2,789	2,702	2,883	2,204	2,144	2,262
74	2,710	2,666	2,774	2,161	2,141	2,176
73	2,618	2,614	2,655	2,112	2,132	2,089
72	2,527	2,557	2,542	2,066	2,123	2,008
71	2,375	2,444	2,361	2,028	2,121	1,936
70	2,313	2,399	2,287	1,997	2,124	1,871
69	2,152	2,277	2,096	1,966	2,128	1,807
68	2,051	2,193	1,979	1,929	2,124	1,740
67	1,934	2,096	1,843	1,882	2,108	1,667
66	1,830	2,002	1,725	1,822	2,074	1,585
65	1,748	1,928	1,631	1,752	2,025	1,500
64	1,645	1,832	1,517	1,679	1,965	1,415
63	1,551	1,740	1,414	1,606	1,901	1,337
62	1,463	1,651	1,319	1,540	1,839	1,269
61	1,354	1,541	1,204	1,482	1,782	1,211
60	1,297	1,477	1,147	1,431	1,730	1,162
59	1,195	1,374	1,041	1,384	1,679	1,116
58	1,127	1,299	974	1,339	1,629	1,072
57	1,055	1,223	903	1,292	1,575	1,026
56	1,002	1,164	854	1,242	1,519	978
55	949	1,106	803	1,190	1,459	929
54	903	1,054	760	1,137	1,397	881
53	854	1,000	715	1,085	1,337	835
52	812	952	680	1,037	1,279	795
51	755	890	627	994	1,223	760
50	724	853	602	954	1,171	731
49	673	794	555	918	1,120	707
48	635	748	523	883	1,071	686
47	596	702	489	850	1,022	668
46	565	663	465	818	974	652
45	540	633	445	786	928	635
44	510	597	422	755	884	619
43	486	566	403	724	842	601
42	467	543	389	695	804	581
41	438	509	364	667	770	560
40	423	492	353	639	738	538
39	399	463	332	613	708	515
38	381	442	318	587	680	492
37	360	420	300	562	653	470
36	345	401	287.1	538	626	449
35	329	383	273.7	515	600	429
34	313	364	260.9	493	575	410
33	299.4	348	249.4	471	551	392
32	287.1	334	238.9	450	527	374
31	272.8	318	226.6	429	504	355
30	265.8	309	221	408	481	335
29	254.6	297.3	210.8	386	458	314
28	247.1	288.9	204.1	363	434	291.3
27	239.2	281.1	196.1	339	410	266.7
26	232.7	275	189.2	314	384	241.5
25	226.7	269.7	182.4	289.1	358	217.1
24	220.9	264.6	175.9	264.7	331	195.1
23	214.4	258.3	169.1	241.4	304	176
22	207.1	250.3	162.5	219.2	276.6	159.6
21	198.1	239.1	155.7	198.1	249	145.6
20	187.7	225.3	148.9	177.8	221.4	133.1
19	175.7	208.8	141.4	158	194.2	121.2
18	162.7	190.8	133.7	138.5	167.7	108.8
17	147.6	170	124.3	119.5	142.6	96
16	133.3	150.2	115.7	101.4	119.6	82.9
15	118.9	131.9	105.5	85	99.4	70.2
14	108.2	118.9	97	70.7	82.4	58.8
13	100.2	109.3	90.8	58.9	68.7	49
12	95.9	104.1	87.3	49.7	58.1	41.1
11	94.7	102.7	86.4	43	50.5	35.3
10	97.5	106.1	88.5	38.7	45.8	31.6
9	103.7	113.1	93.9	37	43.9	30
8	114.4	124.3	104.1	37.9	45.2	30.6
7	130.9	141.4	119.9	42.2	50.2	34.1
6	154.2	165.3	142.6	51.2	60.6	41.7
5	187.5	199.5	175	67.2	79	55.4
4	247.5	262.6	231.7	95.3	110.3	80
3	349	371	327	141.9	161.3	121.7
2	511	542	480	218.6	243.8	192.5
1	843	888	797	343	375	310
0	4,655	5,152	4,147	2,192	2,441	1,934

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-Bissau, the most common age of death is 0, compared to 77 in South Africa. The median age of death is 71.8 in Guinea-Bissau and 70.8 in South Africa, 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-Bissau and South Africa more than their death rates.

Life expectancy in other countries

+ -

1x