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

Life expectancy by current age

Chart Table

Guinea-Bissau

Male

Female

South Sudan

Male

Female

1x

Current age, years	Total life expectancy, years
	Guinea-Bissau			South Sudan
	Average	Male	Female	Average	Male	Female
100	102	101.9	102.1	101.7	101.6	101.8
99	101.1	101	101.2	100.7	100.6	100.8
98	100.2	100.1	100.3	99.8	99.6	99.9
97	99.3	99.2	99.4	98.9	98.7	99
96	98.4	98.3	98.5	98.1	97.8	98.1
95	97.6	97.4	97.6	97.2	96.9	97.3
94	96.7	96.6	96.8	96.3	96	96.4
93	95.9	95.7	95.9	95.5	95.1	95.6
92	95	94.9	95.1	94.7	94.2	94.8
91	94.2	94	94.3	93.8	93.4	94
90	93.4	93.2	93.5	93	92.6	93.2
89	92.6	92.4	92.7	92.2	91.8	92.4
88	91.8	91.6	92	91.4	91	91.6
87	91	90.8	91.2	90.6	90.2	90.8
86	90.3	90	90.4	89.9	89.4	90.1
85	89.5	89.3	89.7	89.1	88.7	89.4
84	88.8	88.5	89	88.4	87.9	88.6
83	88.1	87.8	88.3	87.7	87.2	87.9
82	87.4	87.1	87.7	87	86.5	87.2
81	86.8	86.4	87	86.3	85.8	86.6
80	86.1	85.7	86.4	85.6	85.1	85.9
79	85.5	85.1	85.8	85	84.5	85.3
78	84.9	84.4	85.2	84.4	83.8	84.7
77	84.3	83.8	84.7	83.8	83.2	84.2
76	83.7	83.2	84.1	83.2	82.6	83.6
75	83.2	82.6	83.6	82.6	82	83.1
74	82.7	82.1	83.1	82.1	81.5	82.6
73	82.2	81.5	82.6	81.6	80.9	82.1
72	81.7	81	82.1	81.1	80.4	81.6
71	81.2	80.5	81.7	80.6	79.8	81.1
70	80.7	80	81.3	80.1	79.3	80.7
69	80.3	79.5	80.9	79.7	78.9	80.2
68	79.9	79.1	80.5	79.2	78.4	79.8
67	79.5	78.6	80.1	78.8	77.9	79.5
66	79.1	78.2	79.8	78.4	77.5	79.1
65	78.7	77.8	79.4	78	77.1	78.7
64	78.4	77.4	79.1	77.6	76.7	78.4
63	78	77	78.8	77.3	76.3	78.1
62	77.7	76.6	78.5	76.9	75.9	77.8
61	77.4	76.3	78.2	76.6	75.5	77.5
60	77.1	75.9	78	76.3	75.1	77.2
59	76.8	75.6	77.7	76	74.8	76.9
58	76.5	75.3	77.5	75.7	74.5	76.7
57	76.3	75	77.2	75.4	74.1	76.4
56	76	74.7	77	75.1	73.8	76.2
55	75.7	74.4	76.8	74.8	73.5	76
54	75.5	74.1	76.6	74.5	73.2	75.7
53	75.2	73.8	76.4	74.3	72.9	75.5
52	75	73.5	76.2	74	72.6	75.3
51	74.8	73.3	76	73.8	72.3	75.1
50	74.6	73	75.8	73.5	72	74.8
49	74.4	72.8	75.6	73.3	71.7	74.6
48	74.2	72.6	75.5	73	71.4	74.4
47	74	72.4	75.3	72.8	71.2	74.3
46	73.8	72.1	75.1	72.6	70.9	74.1
45	73.6	71.9	75	72.4	70.6	73.9
44	73.4	71.7	74.8	72.1	70.4	73.7
43	73.3	71.5	74.7	71.9	70.1	73.5
42	73.1	71.4	74.6	71.7	69.9	73.3
41	72.9	71.2	74.4	71.5	69.6	73.1
40	72.8	71	74.3	71.2	69.4	72.9
39	72.6	70.8	74.2	71	69.1	72.7
38	72.5	70.7	74	70.8	68.9	72.5
37	72.3	70.5	73.9	70.6	68.6	72.4
36	72.2	70.3	73.8	70.4	68.4	72.2
35	72	70.2	73.7	70.2	68.2	72
34	71.9	70	73.5	70	67.9	71.8
33	71.8	69.9	73.4	69.8	67.7	71.7
32	71.7	69.7	73.3	69.5	67.4	71.5
31	71.5	69.6	73.2	69.3	67.2	71.3
30	71.4	69.5	73.1	69.1	67	71.1
29	71.3	69.3	73	68.9	66.7	71
28	71.2	69.2	72.9	68.7	66.5	70.8
27	71.1	69.1	72.8	68.5	66.2	70.6
26	70.9	68.9	72.7	68.3	65.9	70.4
25	70.8	68.8	72.6	68	65.7	70.3
24	70.7	68.7	72.5	67.8	65.4	70.1
23	70.6	68.5	72.4	67.6	65.1	70
22	70.5	68.4	72.4	67.4	64.9	69.8
21	70.4	68.3	72.3	67.2	64.6	69.6
20	70.3	68.2	72.2	67	64.4	69.5
19	70.2	68.1	72.1	66.8	64.1	69.3
18	70.1	68	72	66.6	63.9	69.2
17	70	67.9	72	66.4	63.7	69
16	69.9	67.8	71.9	66.3	63.5	68.9
15	69.9	67.7	71.8	66.1	63.4	68.8
14	69.8	67.6	71.8	66	63.2	68.7
13	69.7	67.6	71.7	65.8	63.1	68.5
12	69.7	67.5	71.7	65.7	62.9	68.4
11	69.6	67.4	71.6	65.5	62.8	68.3
10	69.6	67.4	71.5	65.4	62.6	68.2
9	69.5	67.3	71.5	65.2	62.4	68
8	69.4	67.2	71.4	65	62.1	67.8
7	69.3	67.1	71.3	64.7	61.8	67.6
6	69.2	67	71.2	64.4	61.5	67.3
5	69.1	66.9	71.1	64	61.1	67
4	68.9	66.7	70.9	63.6	60.6	66.6
3	68.7	66.5	70.7	63.1	60.1	66.1
2	68.3	66.1	70.4	62.5	59.5	65.5
1	67.7	65.5	69.8	61.8	58.9	64.7
0	64.6	62.1	66.9	58	55	61

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 69.1 in South Sudan, rising to 78.7 and 78 at 65, and to 86.1 and 85.6 at 80 — higher than the 64.6 and 58 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 Sudan.

Probability of surviving to a given age

Chart Table

Guinea-Bissau

Male

Female

South Sudan

Male

Female

1x

Age	Survival probability
	Guinea-Bissau			South Sudan
	Average	Male	Female	Average	Male	Female
100	0.17%	0.1%	0.25%	0.06%	0.02%	0.1%
99	0.27%	0.15%	0.39%	0.1%	0.03%	0.17%
98	0.41%	0.24%	0.58%	0.17%	0.05%	0.28%
97	0.61%	0.36%	0.85%	0.27%	0.1%	0.44%
96	0.89%	0.54%	1.23%	0.43%	0.16%	0.67%
95	1.27%	0.79%	1.73%	0.64%	0.27%	1%
94	1.76%	1.12%	2.37%	0.94%	0.44%	1.44%
93	2.4%	1.55%	3.18%	1.35%	0.67%	2.01%
92	3.19%	2.11%	4.18%	1.87%	1%	2.73%
91	4.14%	2.81%	5.38%	2.54%	1.45%	3.62%
90	5.32%	3.67%	6.82%	3.37%	2.03%	4.7%
89	6.68%	4.71%	8.48%	4.38%	2.76%	5.98%
88	8.27%	5.94%	10.4%	5.58%	3.65%	7.47%
87	10.1%	7.36%	12.5%	6.96%	4.7%	9.18%
86	12.1%	8.99%	14.9%	8.54%	5.92%	11.1%
85	14.3%	10.8%	17.4%	10.3%	7.31%	13.2%
84	16.7%	12.8%	20.2%	12.3%	8.88%	15.6%
83	19.3%	15%	23%	14.4%	10.6%	18%
82	21.9%	17.3%	26%	16.6%	12.5%	20.6%
81	24.7%	19.7%	28.9%	18.9%	14.5%	23.3%
80	27.5%	22.3%	32%	21.3%	16.6%	26.1%
79	30.4%	24.9%	35.1%	23.8%	18.8%	28.8%
78	33.2%	27.5%	38.1%	26.3%	21%	31.6%
77	36.1%	30.2%	41.1%	28.8%	23.3%	34.3%
76	38.9%	32.9%	44.1%	31.3%	25.6%	36.9%
75	41.7%	35.6%	46.9%	33.7%	27.9%	39.6%
74	44.4%	38.3%	49.7%	36.2%	30.2%	42.1%
73	47%	40.9%	52.4%	38.5%	32.5%	44.6%
72	49.6%	43.5%	54.9%	40.8%	34.7%	46.9%
71	51.9%	45.9%	57.3%	43%	36.9%	49.2%
70	54.3%	48.3%	59.6%	45.1%	39%	51.3%
69	56.4%	50.6%	61.7%	47.1%	41%	53.3%
68	58.5%	52.8%	63.6%	49.1%	42.9%	55.2%
67	60.4%	54.9%	65.5%	50.9%	44.8%	57%
66	62.2%	56.9%	67.2%	52.6%	46.6%	58.7%
65	64%	58.8%	68.8%	54.2%	48.3%	60.2%
64	65.6%	60.6%	70.4%	55.8%	49.9%	61.7%
63	67.2%	62.4%	71.8%	57.3%	51.5%	63.1%
62	68.6%	64%	73.1%	58.6%	53%	64.3%
61	70%	65.6%	74.3%	59.9%	54.4%	65.5%
60	71.3%	67.1%	75.4%	61.1%	55.7%	66.6%
59	72.5%	68.4%	76.5%	62.3%	57%	67.6%
58	73.6%	69.7%	77.5%	63.3%	58.2%	68.6%
57	74.7%	70.9%	78.4%	64.4%	59.3%	69.5%
56	75.7%	72.1%	79.2%	65.3%	60.4%	70.3%
55	76.6%	73.2%	80%	66.3%	61.5%	71.1%
54	77.5%	74.3%	80.8%	67.2%	62.5%	71.9%
53	78.4%	75.3%	81.5%	68%	63.5%	72.7%
52	79.2%	76.2%	82.2%	68.9%	64.5%	73.4%
51	79.9%	77.1%	82.8%	69.7%	65.4%	74%
50	80.7%	78%	83.4%	70.4%	66.3%	74.7%
49	81.3%	78.8%	84%	71.1%	67.1%	75.3%
48	82%	79.5%	84.5%	71.8%	67.9%	75.8%
47	82.6%	80.2%	85%	72.5%	68.6%	76.4%
46	83.1%	80.9%	85.4%	73.1%	69.4%	76.9%
45	83.7%	81.5%	85.9%	73.7%	70.1%	77.4%
44	84.2%	82.1%	86.3%	74.3%	70.8%	77.9%
43	84.7%	82.7%	86.7%	74.9%	71.5%	78.4%
42	85.1%	83.2%	87.1%	75.5%	72.1%	78.9%
41	85.6%	83.7%	87.5%	76.1%	72.8%	79.4%
40	86%	84.2%	87.8%	76.6%	73.4%	79.9%
39	86.4%	84.7%	88.1%	77.1%	74%	80.3%
38	86.8%	85.1%	88.5%	77.6%	74.6%	80.8%
37	87.1%	85.5%	88.8%	78.1%	75.2%	81.2%
36	87.5%	85.9%	89%	78.6%	75.8%	81.6%
35	87.8%	86.3%	89.3%	79.1%	76.3%	82%
34	88.1%	86.7%	89.6%	79.6%	76.9%	82.4%
33	88.4%	87%	89.8%	80%	77.4%	82.7%
32	88.7%	87.4%	90.1%	80.5%	77.9%	83.1%
31	89%	87.7%	90.3%	80.9%	78.5%	83.5%
30	89.2%	88%	90.5%	81.4%	79%	83.8%
29	89.5%	88.3%	90.7%	81.8%	79.5%	84.2%
28	89.7%	88.6%	90.9%	82.2%	80.1%	84.5%
27	90%	88.9%	91.1%	82.7%	80.6%	84.9%
26	90.2%	89.1%	91.3%	83.1%	81.1%	85.2%
25	90.4%	89.4%	91.5%	83.5%	81.6%	85.5%
24	90.7%	89.7%	91.7%	84%	82.2%	85.8%
23	90.9%	89.9%	91.8%	84.4%	82.7%	86.1%
22	91.1%	90.2%	92%	84.8%	83.2%	86.4%
21	91.3%	90.4%	92.2%	85.2%	83.7%	86.7%
20	91.5%	90.6%	92.3%	85.6%	84.2%	87%
19	91.6%	90.9%	92.5%	85.9%	84.7%	87.2%
18	91.8%	91%	92.6%	86.2%	85.1%	87.5%
17	92%	91.2%	92.7%	86.5%	85.4%	87.7%
16	92.1%	91.4%	92.8%	86.8%	85.7%	87.9%
15	92.2%	91.5%	92.9%	87.1%	86%	88.2%
14	92.3%	91.6%	93%	87.3%	86.3%	88.4%
13	92.4%	91.7%	93.1%	87.5%	86.6%	88.5%
12	92.5%	91.8%	93.2%	87.8%	86.8%	88.7%
11	92.6%	91.9%	93.3%	88%	87.1%	88.9%
10	92.7%	92%	93.4%	88.3%	87.4%	89.1%
9	92.8%	92.2%	93.5%	88.6%	87.8%	89.4%
8	92.9%	92.3%	93.6%	88.9%	88.2%	89.7%
7	93.1%	92.4%	93.7%	89.3%	88.6%	90%
6	93.2%	92.6%	93.8%	89.8%	89.2%	90.4%
5	93.4%	92.8%	94%	90.3%	89.8%	90.9%
4	93.6%	93%	94.2%	91%	90.6%	91.5%
3	94%	93.4%	94.6%	91.8%	91.4%	92.2%
2	94.5%	94%	95.1%	92.7%	92.3%	93.1%
1	95.3%	94.8%	95.9%	93.8%	93.3%	94.2%

This chart shows the odds of living to each age from birth. 71.3% of newborns in Guinea-Bissau and 61.1% in South Sudan are expected to live past 60, 54.3% and 45.1% past 70, 27.5% and 21.3% past 80, and only 5.32% and 3.37% past 90.

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

Odds of dying at each age

Chart Table

Guinea-Bissau

Male

Female

South Sudan

Male

Female

1x

Age	Probability of dying
	Guinea-Bissau			South Sudan
	Average	Male	Female	Average	Male	Female
100	37.5%	38.9%	36.9%	45.7%	49.1%	43.1%
99	36.1%	37.5%	35.4%	43.7%	47.1%	41%
98	34.2%	35.7%	33.5%	40.5%	45.5%	39.1%
97	32.8%	34.3%	32%	37.7%	43.8%	37.1%
96	31.3%	32.8%	30.5%	35.6%	41.9%	35%
95	29.7%	31.3%	28.9%	33.8%	39.8%	32.8%
94	28%	29.6%	27.1%	31.9%	37.5%	30.6%
93	26.3%	28%	25.5%	30%	35.2%	28.4%
92	24.8%	26.4%	23.9%	28.1%	33%	26.4%
91	23.1%	24.8%	22.2%	26.3%	30.8%	24.6%
90	22.1%	23.6%	21.2%	24.6%	28.6%	22.9%
89	20.4%	22%	19.5%	23%	26.4%	21.4%
88	19.2%	20.7%	18.3%	21.4%	24.3%	20%
87	17.9%	19.3%	17%	19.9%	22.4%	18.6%
86	16.7%	18.1%	15.9%	18.5%	20.6%	17.4%
85	15.5%	16.8%	14.7%	17.1%	19%	16.1%
84	14.4%	15.7%	13.6%	15.9%	17.6%	14.9%
83	13.2%	14.5%	12.4%	14.6%	16.3%	13.7%
82	12.2%	13.4%	11.4%	13.5%	15%	12.6%
81	11%	12.2%	10.3%	12.4%	13.8%	11.5%
80	10.3%	11.4%	9.62%	11.3%	12.7%	10.5%
79	9.4%	10.5%	8.71%	10.4%	11.7%	9.54%
78	8.69%	9.71%	8.04%	9.47%	10.7%	8.69%
77	7.9%	8.89%	7.28%	8.67%	9.8%	7.92%
76	7.28%	8.22%	6.7%	7.94%	9%	7.23%
75	6.69%	7.58%	6.14%	7.29%	8.28%	6.61%
74	6.1%	6.96%	5.58%	6.69%	7.61%	6.05%
73	5.56%	6.39%	5.07%	6.14%	6.99%	5.52%
72	5.1%	5.88%	4.63%	5.62%	6.41%	5.03%
71	4.57%	5.32%	4.12%	5.13%	5.87%	4.58%
70	4.26%	4.97%	3.84%	4.68%	5.37%	4.16%
69	3.82%	4.5%	3.4%	4.26%	4.91%	3.77%
68	3.51%	4.15%	3.11%	3.9%	4.5%	3.43%
67	3.2%	3.82%	2.82%	3.57%	4.14%	3.12%
66	2.94%	3.52%	2.57%	3.28%	3.83%	2.84%
65	2.73%	3.28%	2.37%	3.02%	3.54%	2.6%
64	2.51%	3.02%	2.16%	2.78%	3.28%	2.37%
63	2.31%	2.79%	1.97%	2.56%	3.04%	2.17%
62	2.13%	2.58%	1.8%	2.35%	2.81%	1.97%
61	1.94%	2.35%	1.62%	2.16%	2.59%	1.8%
60	1.82%	2.2%	1.52%	1.98%	2.39%	1.64%
59	1.65%	2.01%	1.36%	1.82%	2.21%	1.5%
58	1.53%	1.86%	1.26%	1.69%	2.06%	1.39%
57	1.41%	1.72%	1.15%	1.58%	1.93%	1.29%
56	1.32%	1.61%	1.08%	1.49%	1.82%	1.21%
55	1.24%	1.51%	1%	1.42%	1.73%	1.15%
54	1.16%	1.42%	0.94%	1.35%	1.65%	1.09%
53	1.09%	1.33%	0.88%	1.28%	1.57%	1.03%
52	1.03%	1.25%	0.83%	1.21%	1.49%	0.97%
51	0.94%	1.15%	0.76%	1.14%	1.41%	0.91%
50	0.9%	1.09%	0.72%	1.07%	1.32%	0.85%
49	0.83%	1.01%	0.66%	1%	1.24%	0.79%
48	0.77%	0.94%	0.62%	0.95%	1.17%	0.75%
47	0.72%	0.88%	0.58%	0.9%	1.11%	0.71%
46	0.68%	0.82%	0.54%	0.86%	1.06%	0.69%
45	0.65%	0.78%	0.52%	0.84%	1.02%	0.67%
44	0.61%	0.73%	0.49%	0.81%	0.99%	0.66%
43	0.57%	0.69%	0.46%	0.79%	0.96%	0.64%
42	0.55%	0.65%	0.45%	0.77%	0.92%	0.63%
41	0.51%	0.61%	0.42%	0.74%	0.89%	0.61%
40	0.49%	0.58%	0.4%	0.71%	0.85%	0.58%
39	0.46%	0.55%	0.38%	0.68%	0.82%	0.56%
38	0.44%	0.52%	0.36%	0.65%	0.79%	0.53%
37	0.41%	0.49%	0.34%	0.63%	0.76%	0.51%
36	0.39%	0.47%	0.32%	0.61%	0.74%	0.49%
35	0.37%	0.44%	0.31%	0.6%	0.73%	0.48%
34	0.36%	0.42%	0.29%	0.59%	0.71%	0.47%
33	0.34%	0.4%	0.28%	0.58%	0.7%	0.46%
32	0.32%	0.38%	0.27%	0.57%	0.69%	0.45%
31	0.31%	0.36%	0.25%	0.56%	0.68%	0.44%
30	0.3%	0.35%	0.24%	0.55%	0.67%	0.43%
29	0.28%	0.34%	0.23%	0.54%	0.66%	0.42%
28	0.28%	0.33%	0.22%	0.53%	0.65%	0.41%
27	0.27%	0.32%	0.22%	0.52%	0.65%	0.39%
26	0.26%	0.31%	0.21%	0.52%	0.65%	0.38%
25	0.25%	0.3%	0.2%	0.51%	0.65%	0.37%
24	0.24%	0.3%	0.19%	0.51%	0.65%	0.36%
23	0.24%	0.29%	0.18%	0.5%	0.65%	0.35%
22	0.23%	0.28%	0.18%	0.49%	0.63%	0.34%
21	0.22%	0.26%	0.17%	0.47%	0.61%	0.33%
20	0.21%	0.25%	0.16%	0.44%	0.57%	0.32%
19	0.19%	0.23%	0.15%	0.41%	0.52%	0.3%
18	0.18%	0.21%	0.14%	0.38%	0.47%	0.29%
17	0.16%	0.19%	0.13%	0.35%	0.42%	0.27%
16	0.14%	0.16%	0.12%	0.32%	0.37%	0.26%
15	0.13%	0.14%	0.11%	0.29%	0.34%	0.24%
14	0.12%	0.13%	0.1%	0.27%	0.31%	0.22%
13	0.11%	0.12%	0.1%	0.26%	0.3%	0.22%
12	0.1%	0.11%	0.09%	0.26%	0.3%	0.22%
11	0.1%	0.11%	0.09%	0.27%	0.32%	0.22%
10	0.11%	0.12%	0.09%	0.3%	0.35%	0.24%
9	0.11%	0.12%	0.1%	0.34%	0.4%	0.27%
8	0.12%	0.13%	0.11%	0.39%	0.47%	0.31%
7	0.14%	0.15%	0.13%	0.45%	0.54%	0.36%
6	0.17%	0.18%	0.15%	0.53%	0.63%	0.43%
5	0.2%	0.21%	0.19%	0.62%	0.71%	0.53%
4	0.26%	0.28%	0.25%	0.73%	0.8%	0.65%
3	0.37%	0.4%	0.35%	0.85%	0.9%	0.8%
2	0.54%	0.58%	0.5%	0.99%	0.99%	0.98%
1	0.88%	0.94%	0.83%	1.16%	1.1%	1.22%
0	4.65%	5.15%	4.15%	6.22%	6.67%	5.75%

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

The annual chance of dying is 4.65% in the birth year in Guinea-Bissau and 6.22% in South Sudan, 0.3% vs 0.55% at age 30, 1.82% vs 1.98% at 60, and 10.3% vs 11.3% at 80.

Death rate by age in Guinea-Bissau vs South Sudan

Chart Table

Guinea-Bissau

Male

Female

South Sudan

Male

Female

1x

Age	Death rate
	Guinea-Bissau			South Sudan
	Total	Male	Female	Total	Male	Female
100	10.5	0	24.3	0	0	0
99	98	57.6	136.6	44.4	13.7	68.6
98	141.4	85.4	194.6	69.1	24.4	107.5
97	201.5	124.9	273.7	103.4	41.7	162.1
96	279.6	177.9	375	151.7	68.7	235
95	377	246.6	499	217.2	108.2	328
94	493	331	643	301	163.5	440
93	631	435	810	404	237	571
92	791	558	1,001	527	331	722
91	959	695	1,195	670	447	890
90	1,173	865	1,447	831	582	1,077
89	1,366	1,035	1,657	1,007	729	1,279
88	1,587	1,228	1,900	1,193	887	1,492
87	1,803	1,424	2,129	1,386	1,052	1,712
86	2,022	1,627	2,357	1,579	1,221	1,929
85	2,219	1,819	2,554	1,767	1,392	2,135
84	2,407	2,014	2,732	1,944	1,562	2,321
83	2,545	2,169	2,850	2,103	1,725	2,478
82	2,671	2,318	2,955	2,237	1,874	2,600
81	2,719	2,409	2,966	2,342	2,003	2,685
80	2,842	2,546	3,078	2,417	2,108	2,734
79	2,853	2,605	3,052	2,465	2,188	2,750
78	2,888	2,674	3,064	2,490	2,246	2,742
77	2,852	2,688	2,994	2,497	2,284	2,714
76	2,832	2,707	2,950	2,485	2,305	2,672
75	2,789	2,702	2,883	2,459	2,311	2,615
74	2,710	2,666	2,774	2,419	2,300	2,546
73	2,618	2,614	2,655	2,364	2,272	2,461
72	2,527	2,557	2,542	2,292	2,226	2,363
71	2,375	2,444	2,361	2,207	2,164	2,252
70	2,313	2,399	2,287	2,111	2,091	2,133
69	2,152	2,277	2,096	2,011	2,013	2,011
68	2,051	2,193	1,979	1,911	1,933	1,891
67	1,934	2,096	1,843	1,815	1,855	1,777
66	1,830	2,002	1,725	1,724	1,782	1,668
65	1,748	1,928	1,631	1,636	1,710	1,565
64	1,645	1,832	1,517	1,551	1,639	1,464
63	1,551	1,740	1,414	1,465	1,565	1,366
62	1,463	1,651	1,319	1,378	1,488	1,270
61	1,354	1,541	1,204	1,292	1,409	1,178
60	1,297	1,477	1,147	1,210	1,332	1,092
59	1,195	1,374	1,041	1,136	1,260	1,015
58	1,127	1,299	974	1,072	1,197	950
57	1,055	1,223	903	1,018	1,145	896
56	1,002	1,164	854	976	1,102	853
55	949	1,106	803	939	1,066	816
54	903	1,054	760	906	1,033	782
53	854	1,000	715	872	999	748
52	812	952	680	835	961	711
51	755	890	627	795	919	672
50	724	853	602	753	875	633
49	673	794	555	713	832	596
48	635	748	523	679	794	566
47	596	702	489	651	762	543
46	565	663	465	631	737	528
45	540	633	445	616	717	519
44	510	597	422	604	700	512
43	486	566	403	593	685	506
42	467	543	389	580	667	496
41	438	509	364	564	648	483
40	423	492	353	545	628	467
39	399	463	332	526	608	449
38	381	442	318	508	590	431
37	360	420	300	493	575	415
36	345	401	287.1	481	563	402
35	329	383	273.7	473	555	392
34	313	364	260.9	466	549	384
33	299.4	348	249.4	461	544	377
32	287.1	334	238.9	456	538	372
31	272.8	318	226.6	451	533	366
30	265.8	309	221	446	527	359
29	254.6	297.3	210.8	440	523	352
28	247.1	288.9	204.1	436	522	344
27	239.2	281.1	196.1	432	523	335
26	232.7	275	189.2	429	527	325
25	226.7	269.7	182.4	427	532	316
24	220.9	264.6	175.9	424	536	307
23	214.4	258.3	169.1	420	535	298.4
22	207.1	250.3	162.5	412	527	290.7
21	198.1	239.1	155.7	398	508	283.3
20	187.7	225.3	148.9	379	478	275.1
19	175.7	208.8	141.4	354	439	265.4
18	162.7	190.8	133.7	327	397	253.5
17	147.6	170	124.3	299.3	357	239.3
16	133.3	150.2	115.7	273.6	321	224.4
15	118.9	131.9	105.5	251.3	290.8	210.1
14	108.2	118.9	97	235.1	270	198.7
13	100.2	109.3	90.8	226.8	260.1	192
12	95.9	104.1	87.3	227.9	262.8	191.3
11	94.7	102.7	86.4	239.4	279	198.2
10	97.5	106.1	88.5	262	309	213.5
9	103.7	113.1	93.9	296.8	353	238.8
8	114.4	124.3	104.1	344	411	275.7
7	130.9	141.4	119.9	404	480	326
6	154.2	165.3	142.6	477	558	393
5	187.5	199.5	175	561	641	479
4	247.5	262.6	231.7	660	727	591
3	349	371	327	776	818	733
2	511	542	480	915	916	915
1	843	888	797	1,086	1,027	1,147
0	4,655	5,152	4,147	6,215	6,667	5,754

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 0 in South Sudan. The median age of death is 71.8 in Guinea-Bissau and 67.5 in South Sudan, 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 Sudan more than their death rates.

Life expectancy in other countries

+ -

1x