Life Expectancy in Congo vs Guinea-Bissau (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

Guinea-Bissau

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	102	101.9	102.1
99	101	101	101	101.1	101	101.2
98	100.1	100.2	100.1	100.2	100.1	100.3
97	99.2	99.3	99.1	99.3	99.2	99.4
96	98.3	98.4	98.2	98.4	98.3	98.5
95	97.4	97.5	97.4	97.6	97.4	97.6
94	96.6	96.7	96.5	96.7	96.6	96.8
93	95.7	95.8	95.7	95.9	95.7	95.9
92	94.9	94.9	94.8	95	94.9	95.1
91	94	94.1	94	94.2	94	94.3
90	93.2	93.3	93.2	93.4	93.2	93.5
89	92.4	92.5	92.4	92.6	92.4	92.7
88	91.6	91.6	91.6	91.8	91.6	92
87	90.9	90.9	90.9	91	90.8	91.2
86	90.1	90.1	90.1	90.3	90	90.4
85	89.3	89.3	89.4	89.5	89.3	89.7
84	88.6	88.5	88.7	88.8	88.5	89
83	87.9	87.8	88	88.1	87.8	88.3
82	87.2	87.1	87.3	87.4	87.1	87.7
81	86.5	86.4	86.7	86.8	86.4	87
80	85.9	85.7	86	86.1	85.7	86.4
79	85.2	85	85.4	85.5	85.1	85.8
78	84.6	84.3	84.8	84.9	84.4	85.2
77	84	83.7	84.3	84.3	83.8	84.7
76	83.4	83.1	83.7	83.7	83.2	84.1
75	82.9	82.5	83.2	83.2	82.6	83.6
74	82.3	81.9	82.7	82.7	82.1	83.1
73	81.8	81.3	82.2	82.2	81.5	82.6
72	81.3	80.8	81.7	81.7	81	82.1
71	80.8	80.3	81.3	81.2	80.5	81.7
70	80.3	79.8	80.8	80.7	80	81.3
69	79.9	79.3	80.4	80.3	79.5	80.9
68	79.5	78.8	80	79.9	79.1	80.5
67	79.1	78.4	79.7	79.5	78.6	80.1
66	78.7	77.9	79.3	79.1	78.2	79.8
65	78.3	77.5	79	78.7	77.8	79.4
64	77.9	77.1	78.6	78.4	77.4	79.1
63	77.6	76.7	78.3	78	77	78.8
62	77.2	76.4	78	77.7	76.6	78.5
61	76.9	76	77.7	77.4	76.3	78.2
60	76.6	75.6	77.4	77.1	75.9	78
59	76.3	75.3	77.2	76.8	75.6	77.7
58	76	75	76.9	76.5	75.3	77.5
57	75.7	74.7	76.7	76.3	75	77.2
56	75.4	74.4	76.4	76	74.7	77
55	75.1	74.1	76.2	75.7	74.4	76.8
54	74.9	73.8	75.9	75.5	74.1	76.6
53	74.6	73.5	75.7	75.2	73.8	76.4
52	74.4	73.2	75.5	75	73.5	76.2
51	74.1	73	75.3	74.8	73.3	76
50	73.9	72.7	75.1	74.6	73	75.8
49	73.7	72.5	74.9	74.4	72.8	75.6
48	73.5	72.2	74.7	74.2	72.6	75.5
47	73.3	72	74.5	74	72.4	75.3
46	73.1	71.8	74.3	73.8	72.1	75.1
45	72.9	71.6	74.1	73.6	71.9	75
44	72.7	71.4	74	73.4	71.7	74.8
43	72.5	71.2	73.8	73.3	71.5	74.7
42	72.3	71	73.7	73.1	71.4	74.6
41	72.2	70.9	73.5	72.9	71.2	74.4
40	72	70.7	73.3	72.8	71	74.3
39	71.9	70.5	73.2	72.6	70.8	74.2
38	71.7	70.4	73.1	72.5	70.7	74
37	71.6	70.2	72.9	72.3	70.5	73.9
36	71.4	70.1	72.8	72.2	70.3	73.8
35	71.3	69.9	72.7	72	70.2	73.7
34	71.2	69.8	72.5	71.9	70	73.5
33	71	69.6	72.4	71.8	69.9	73.4
32	70.9	69.5	72.3	71.7	69.7	73.3
31	70.8	69.4	72.2	71.5	69.6	73.2
30	70.7	69.3	72.1	71.4	69.5	73.1
29	70.6	69.1	72	71.3	69.3	73
28	70.5	69	71.9	71.2	69.2	72.9
27	70.3	68.9	71.8	71.1	69.1	72.8
26	70.2	68.8	71.7	70.9	68.9	72.7
25	70.1	68.7	71.6	70.8	68.8	72.6
24	70.1	68.6	71.5	70.7	68.7	72.5
23	70	68.5	71.5	70.6	68.5	72.4
22	69.9	68.4	71.4	70.5	68.4	72.4
21	69.8	68.3	71.3	70.4	68.3	72.3
20	69.7	68.2	71.2	70.3	68.2	72.2
19	69.6	68.1	71.2	70.2	68.1	72.1
18	69.6	68	71.1	70.1	68	72
17	69.5	68	71.1	70	67.9	72
16	69.4	67.9	71	69.9	67.8	71.9
15	69.4	67.8	71	69.9	67.7	71.8
14	69.3	67.8	70.9	69.8	67.6	71.8
13	69.3	67.8	70.9	69.7	67.6	71.7
12	69.3	67.7	70.8	69.7	67.5	71.7
11	69.2	67.7	70.8	69.6	67.4	71.6
10	69.2	67.6	70.8	69.6	67.4	71.5
9	69.2	67.6	70.7	69.5	67.3	71.5
8	69.1	67.5	70.7	69.4	67.2	71.4
7	69.1	67.5	70.6	69.3	67.1	71.3
6	69	67.4	70.6	69.2	67	71.2
5	68.9	67.4	70.5	69.1	66.9	71.1
4	68.8	67.3	70.4	68.9	66.7	70.9
3	68.7	67.2	70.3	68.7	66.5	70.7
2	68.5	67	70.1	68.3	66.1	70.4
1	68.2	66.7	69.8	67.7	65.5	69.8
0	66.4	64.7	68.2	64.6	62.1	66.9

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 the Congo can expect to live to 70.7 years compared to 71.4 in Guinea-Bissau, rising to 78.3 and 78.7 at 65, and to 85.9 and 86.1 at 80 — higher than the 66.4 and 64.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Congo

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Survival probability
	Congo			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	0.17%	0.1%	0.25%
99	0.19%	0.17%	0.22%	0.27%	0.15%	0.39%
98	0.3%	0.26%	0.35%	0.41%	0.24%	0.58%
97	0.46%	0.39%	0.54%	0.61%	0.36%	0.85%
96	0.69%	0.57%	0.82%	0.89%	0.54%	1.23%
95	1.01%	0.81%	1.2%	1.27%	0.79%	1.73%
94	1.43%	1.14%	1.72%	1.76%	1.12%	2.37%
93	1.98%	1.57%	2.4%	2.4%	1.55%	3.18%
92	2.68%	2.12%	3.27%	3.19%	2.11%	4.18%
91	3.55%	2.8%	4.34%	4.14%	2.81%	5.38%
90	4.63%	3.64%	5.65%	5.32%	3.67%	6.82%
89	5.9%	4.65%	7.2%	6.68%	4.71%	8.48%
88	7.39%	5.84%	9%	8.27%	5.94%	10.4%
87	9.11%	7.23%	11.1%	10.1%	7.36%	12.5%
86	11%	8.81%	13.3%	12.1%	8.99%	14.9%
85	13.2%	10.6%	15.9%	14.3%	10.8%	17.4%
84	15.5%	12.6%	18.6%	16.7%	12.8%	20.2%
83	18.1%	14.8%	21.5%	19.3%	15%	23%
82	20.7%	17.1%	24.5%	21.9%	17.3%	26%
81	23.5%	19.6%	27.5%	24.7%	19.7%	28.9%
80	26.4%	22.2%	30.7%	27.5%	22.3%	32%
79	29.3%	24.9%	33.8%	30.4%	24.9%	35.1%
78	32.3%	27.7%	37%	33.2%	27.5%	38.1%
77	35.3%	30.5%	40.1%	36.1%	30.2%	41.1%
76	38.2%	33.4%	43.2%	38.9%	32.9%	44.1%
75	41.2%	36.3%	46.2%	41.7%	35.6%	46.9%
74	44%	39.1%	49%	44.4%	38.3%	49.7%
73	46.8%	41.9%	51.8%	47%	40.9%	52.4%
72	49.5%	44.7%	54.4%	49.6%	43.5%	54.9%
71	52.1%	47.3%	56.9%	51.9%	45.9%	57.3%
70	54.5%	49.9%	59.3%	54.3%	48.3%	59.6%
69	56.9%	52.4%	61.5%	56.4%	50.6%	61.7%
68	59.1%	54.8%	63.5%	58.5%	52.8%	63.6%
67	61.2%	57%	65.5%	60.4%	54.9%	65.5%
66	63.2%	59.1%	67.3%	62.2%	56.9%	67.2%
65	65.1%	61.2%	69%	64%	58.8%	68.8%
64	66.9%	63.1%	70.6%	65.6%	60.6%	70.4%
63	68.5%	65%	72.1%	67.2%	62.4%	71.8%
62	70.1%	66.8%	73.6%	68.6%	64%	73.1%
61	71.6%	68.4%	74.9%	70%	65.6%	74.3%
60	73.1%	70%	76.1%	71.3%	67.1%	75.4%
59	74.4%	71.5%	77.3%	72.5%	68.4%	76.5%
58	75.6%	72.9%	78.4%	73.6%	69.7%	77.5%
57	76.8%	74.3%	79.4%	74.7%	70.9%	78.4%
56	77.9%	75.5%	80.4%	75.7%	72.1%	79.2%
55	79%	76.7%	81.3%	76.6%	73.2%	80%
54	80%	77.9%	82.2%	77.5%	74.3%	80.8%
53	81%	79%	83%	78.4%	75.3%	81.5%
52	81.9%	80%	83.8%	79.2%	76.2%	82.2%
51	82.8%	81%	84.6%	79.9%	77.1%	82.8%
50	83.6%	81.9%	85.3%	80.7%	78%	83.4%
49	84.3%	82.8%	86%	81.3%	78.8%	84%
48	85.1%	83.6%	86.6%	82%	79.5%	84.5%
47	85.7%	84.3%	87.2%	82.6%	80.2%	85%
46	86.4%	85%	87.8%	83.1%	80.9%	85.4%
45	87%	85.7%	88.3%	83.7%	81.5%	85.9%
44	87.6%	86.3%	88.8%	84.2%	82.1%	86.3%
43	88.1%	86.9%	89.3%	84.7%	82.7%	86.7%
42	88.6%	87.5%	89.7%	85.1%	83.2%	87.1%
41	89.1%	88%	90.2%	85.6%	83.7%	87.5%
40	89.5%	88.5%	90.6%	86%	84.2%	87.8%
39	90%	89%	91%	86.4%	84.7%	88.1%
38	90.4%	89.5%	91.4%	86.8%	85.1%	88.5%
37	90.8%	89.9%	91.7%	87.1%	85.5%	88.8%
36	91.1%	90.3%	92%	87.5%	85.9%	89%
35	91.5%	90.6%	92.4%	87.8%	86.3%	89.3%
34	91.8%	91%	92.6%	88.1%	86.7%	89.6%
33	92.1%	91.3%	92.9%	88.4%	87%	89.8%
32	92.4%	91.7%	93.2%	88.7%	87.4%	90.1%
31	92.7%	92%	93.4%	89%	87.7%	90.3%
30	93%	92.2%	93.7%	89.2%	88%	90.5%
29	93.2%	92.5%	93.9%	89.5%	88.3%	90.7%
28	93.4%	92.8%	94.1%	89.7%	88.6%	90.9%
27	93.7%	93%	94.3%	90%	88.9%	91.1%
26	93.9%	93.3%	94.5%	90.2%	89.1%	91.3%
25	94.1%	93.5%	94.7%	90.4%	89.4%	91.5%
24	94.3%	93.7%	94.9%	90.7%	89.7%	91.7%
23	94.5%	94%	95%	90.9%	89.9%	91.8%
22	94.7%	94.2%	95.2%	91.1%	90.2%	92%
21	94.8%	94.4%	95.3%	91.3%	90.4%	92.2%
20	95%	94.5%	95.4%	91.5%	90.6%	92.3%
19	95.1%	94.7%	95.6%	91.6%	90.9%	92.5%
18	95.3%	94.9%	95.7%	91.8%	91%	92.6%
17	95.4%	95%	95.8%	92%	91.2%	92.7%
16	95.5%	95.1%	95.9%	92.1%	91.4%	92.8%
15	95.6%	95.2%	95.9%	92.2%	91.5%	92.9%
14	95.7%	95.3%	96%	92.3%	91.6%	93%
13	95.7%	95.4%	96.1%	92.4%	91.7%	93.1%
12	95.8%	95.4%	96.1%	92.5%	91.8%	93.2%
11	95.8%	95.5%	96.2%	92.6%	91.9%	93.3%
10	95.9%	95.6%	96.2%	92.7%	92%	93.4%
9	96%	95.6%	96.3%	92.8%	92.2%	93.5%
8	96%	95.7%	96.4%	92.9%	92.3%	93.6%
7	96.1%	95.8%	96.4%	93.1%	92.4%	93.7%
6	96.2%	95.9%	96.5%	93.2%	92.6%	93.8%
5	96.3%	96%	96.6%	93.4%	92.8%	94%
4	96.4%	96.1%	96.8%	93.6%	93%	94.2%
3	96.6%	96.3%	96.9%	94%	93.4%	94.6%
2	96.9%	96.6%	97.2%	94.5%	94%	95.1%
1	97.3%	97%	97.7%	95.3%	94.8%	95.9%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 71.3% in Guinea-Bissau are expected to live past 60, 54.5% and 54.3% past 70, 26.4% and 27.5% past 80, and only 4.63% and 5.32% past 90.

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

Odds of dying at each age

Chart Table

Congo

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Probability of dying
	Congo			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	37.5%	38.9%	36.9%
99	38%	36.1%	39.4%	36.1%	37.5%	35.4%
98	36.2%	34.3%	37.4%	34.2%	35.7%	33.5%
97	34.6%	33.1%	35.6%	32.8%	34.3%	32%
96	33%	31.7%	33.8%	31.3%	32.8%	30.5%
95	31.3%	30.3%	32%	29.7%	31.3%	28.9%
94	29.6%	28.8%	30.1%	28%	29.6%	27.1%
93	27.9%	27.3%	28.2%	26.3%	28%	25.5%
92	26.2%	25.8%	26.5%	24.8%	26.4%	23.9%
91	24.5%	24.3%	24.7%	23.1%	24.8%	22.2%
90	23.2%	23.1%	23.2%	22.1%	23.6%	21.2%
89	21.6%	21.6%	21.5%	20.4%	22%	19.5%
88	20.2%	20.4%	20%	19.2%	20.7%	18.3%
87	18.8%	19.2%	18.6%	17.9%	19.3%	17%
86	17.6%	18%	17.2%	16.7%	18.1%	15.9%
85	16.3%	16.9%	15.9%	15.5%	16.8%	14.7%
84	15.1%	15.8%	14.6%	14.4%	15.7%	13.6%
83	13.9%	14.7%	13.4%	13.2%	14.5%	12.4%
82	12.9%	13.7%	12.3%	12.2%	13.4%	11.4%
81	11.8%	12.6%	11.2%	11%	12.2%	10.3%
80	11%	11.8%	10.3%	10.3%	11.4%	9.62%
79	9.99%	10.9%	9.34%	9.4%	10.5%	8.71%
78	9.21%	10.1%	8.55%	8.69%	9.71%	8.04%
77	8.41%	9.26%	7.75%	7.9%	8.89%	7.28%
76	7.74%	8.57%	7.08%	7.28%	8.22%	6.7%
75	7.11%	7.91%	6.46%	6.69%	7.58%	6.14%
74	6.5%	7.28%	5.86%	6.1%	6.96%	5.58%
73	5.94%	6.7%	5.32%	5.56%	6.39%	5.07%
72	5.43%	6.16%	4.84%	5.1%	5.88%	4.63%
71	4.91%	5.6%	4.34%	4.57%	5.32%	4.12%
70	4.54%	5.18%	3.99%	4.26%	4.97%	3.84%
69	4.1%	4.7%	3.58%	3.82%	4.5%	3.4%
68	3.76%	4.32%	3.27%	3.51%	4.15%	3.11%
67	3.44%	3.95%	2.97%	3.2%	3.82%	2.82%
66	3.14%	3.62%	2.7%	2.94%	3.52%	2.57%
65	2.9%	3.34%	2.49%	2.73%	3.28%	2.37%
64	2.67%	3.09%	2.28%	2.51%	3.02%	2.16%
63	2.46%	2.86%	2.09%	2.31%	2.79%	1.97%
62	2.28%	2.65%	1.93%	2.13%	2.58%	1.8%
61	2.08%	2.43%	1.76%	1.94%	2.35%	1.62%
60	1.95%	2.28%	1.65%	1.82%	2.2%	1.52%
59	1.78%	2.08%	1.5%	1.65%	2.01%	1.36%
58	1.66%	1.93%	1.4%	1.53%	1.86%	1.26%
57	1.54%	1.79%	1.3%	1.41%	1.72%	1.15%
56	1.44%	1.68%	1.22%	1.32%	1.61%	1.08%
55	1.35%	1.57%	1.14%	1.24%	1.51%	1%
54	1.27%	1.47%	1.07%	1.16%	1.42%	0.94%
53	1.19%	1.37%	1.01%	1.09%	1.33%	0.88%
52	1.12%	1.29%	0.95%	1.03%	1.25%	0.83%
51	1.04%	1.19%	0.88%	0.94%	1.15%	0.76%
50	0.98%	1.12%	0.84%	0.9%	1.09%	0.72%
49	0.91%	1.04%	0.78%	0.83%	1.01%	0.66%
48	0.85%	0.97%	0.73%	0.77%	0.94%	0.62%
47	0.79%	0.9%	0.68%	0.72%	0.88%	0.58%
46	0.74%	0.84%	0.64%	0.68%	0.82%	0.54%
45	0.7%	0.79%	0.61%	0.65%	0.78%	0.52%
44	0.65%	0.73%	0.57%	0.61%	0.73%	0.49%
43	0.61%	0.69%	0.54%	0.57%	0.69%	0.46%
42	0.58%	0.65%	0.51%	0.55%	0.65%	0.45%
41	0.54%	0.6%	0.48%	0.51%	0.61%	0.42%
40	0.52%	0.57%	0.46%	0.49%	0.58%	0.4%
39	0.48%	0.53%	0.43%	0.46%	0.55%	0.38%
38	0.45%	0.5%	0.41%	0.44%	0.52%	0.36%
37	0.43%	0.47%	0.38%	0.41%	0.49%	0.34%
36	0.4%	0.44%	0.36%	0.39%	0.47%	0.32%
35	0.38%	0.42%	0.34%	0.37%	0.44%	0.31%
34	0.36%	0.39%	0.32%	0.36%	0.42%	0.29%
33	0.33%	0.37%	0.3%	0.34%	0.4%	0.28%
32	0.32%	0.35%	0.29%	0.32%	0.38%	0.27%
31	0.3%	0.33%	0.27%	0.31%	0.36%	0.25%
30	0.28%	0.31%	0.26%	0.3%	0.35%	0.24%
29	0.27%	0.3%	0.24%	0.28%	0.34%	0.23%
28	0.26%	0.28%	0.23%	0.28%	0.33%	0.22%
27	0.24%	0.27%	0.21%	0.27%	0.32%	0.22%
26	0.23%	0.26%	0.2%	0.26%	0.31%	0.21%
25	0.22%	0.25%	0.19%	0.25%	0.3%	0.2%
24	0.21%	0.24%	0.18%	0.24%	0.3%	0.19%
23	0.2%	0.23%	0.17%	0.24%	0.29%	0.18%
22	0.19%	0.22%	0.16%	0.23%	0.28%	0.18%
21	0.18%	0.21%	0.15%	0.22%	0.26%	0.17%
20	0.17%	0.19%	0.14%	0.21%	0.25%	0.16%
19	0.15%	0.18%	0.13%	0.19%	0.23%	0.15%
18	0.14%	0.16%	0.12%	0.18%	0.21%	0.14%
17	0.12%	0.14%	0.1%	0.16%	0.19%	0.13%
16	0.11%	0.12%	0.09%	0.14%	0.16%	0.12%
15	0.09%	0.1%	0.08%	0.13%	0.14%	0.11%
14	0.08%	0.09%	0.07%	0.12%	0.13%	0.1%
13	0.07%	0.08%	0.07%	0.11%	0.12%	0.1%
12	0.07%	0.07%	0.06%	0.1%	0.11%	0.09%
11	0.06%	0.07%	0.06%	0.1%	0.11%	0.09%
10	0.06%	0.07%	0.06%	0.11%	0.12%	0.09%
9	0.07%	0.07%	0.06%	0.11%	0.12%	0.1%
8	0.07%	0.08%	0.07%	0.12%	0.13%	0.11%
7	0.08%	0.09%	0.07%	0.14%	0.15%	0.13%
6	0.09%	0.1%	0.09%	0.17%	0.18%	0.15%
5	0.11%	0.11%	0.1%	0.2%	0.21%	0.19%
4	0.14%	0.15%	0.14%	0.26%	0.28%	0.25%
3	0.19%	0.2%	0.19%	0.37%	0.4%	0.35%
2	0.28%	0.28%	0.28%	0.54%	0.58%	0.5%
1	0.44%	0.44%	0.45%	0.88%	0.94%	0.83%
0	2.67%	2.99%	2.35%	4.65%	5.15%	4.15%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 4.65% in Guinea-Bissau, 0.28% vs 0.3% at age 30, 1.95% vs 1.82% at 60, and 11% vs 10.3% at 80.

Death rate by age in Congo vs Guinea-Bissau

Chart Table

Congo

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Death rate
	Congo			Guinea-Bissau
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	10.5	0	24.3
99	73.5	61.5	86.1	98	57.6	136.6
98	109.4	89.1	130.4	141.4	85.4	194.6
97	160.2	128.3	193.1	201.5	124.9	273.7
96	227.9	180.2	277	279.6	177.9	375
95	315	246.7	385	377	246.6	499
94	422	329	518	493	331	643
93	552	429	678	631	435	810
92	704	547	865	791	558	1,001
91	872	679	1,070	959	695	1,195
90	1,072	841	1,311	1,173	865	1,447
89	1,273	1,006	1,549	1,366	1,035	1,657
88	1,492	1,193	1,802	1,587	1,228	1,900
87	1,715	1,387	2,053	1,803	1,424	2,129
86	1,939	1,590	2,297	2,022	1,627	2,357
85	2,150	1,791	2,515	2,219	1,819	2,554
84	2,351	1,991	2,715	2,407	2,014	2,732
83	2,519	2,170	2,871	2,545	2,169	2,850
82	2,671	2,343	3,001	2,671	2,318	2,955
81	2,773	2,477	3,069	2,719	2,409	2,966
80	2,898	2,633	3,165	2,842	2,546	3,078
79	2,932	2,706	3,161	2,853	2,605	3,052
78	2,977	2,793	3,163	2,888	2,674	3,064
77	2,969	2,829	3,109	2,852	2,688	2,994
76	2,960	2,862	3,058	2,832	2,707	2,950
75	2,926	2,871	2,980	2,789	2,702	2,883
74	2,861	2,849	2,875	2,710	2,666	2,774
73	2,778	2,808	2,754	2,618	2,614	2,655
72	2,690	2,752	2,634	2,527	2,557	2,542
71	2,558	2,649	2,472	2,375	2,444	2,361
70	2,476	2,586	2,367	2,313	2,399	2,287
69	2,334	2,463	2,201	2,152	2,277	2,096
68	2,223	2,365	2,075	2,051	2,193	1,979
67	2,103	2,254	1,942	1,934	2,096	1,843
66	1,986	2,143	1,819	1,830	2,002	1,725
65	1,886	2,046	1,717	1,748	1,928	1,631
64	1,784	1,953	1,609	1,645	1,832	1,517
63	1,689	1,862	1,510	1,551	1,740	1,414
62	1,598	1,773	1,420	1,463	1,651	1,319
61	1,493	1,666	1,319	1,354	1,541	1,204
60	1,426	1,596	1,254	1,297	1,477	1,147
59	1,327	1,491	1,163	1,195	1,374	1,041
58	1,255	1,411	1,098	1,127	1,299	974
57	1,182	1,332	1,032	1,055	1,223	903
56	1,123	1,266	980	1,002	1,164	854
55	1,067	1,204	927	949	1,106	803
54	1,014	1,144	881	903	1,054	760
53	962	1,084	836	854	1,000	715
52	915	1,030	797	812	952	680
51	857	966	747	755	890	627
50	820	921	716	724	853	602
49	765	859	669	673	794	555
48	721	807	631	635	748	523
47	676	757	593	596	702	489
46	638	712	561	565	663	465
45	605	673	534	540	633	445
44	569	631	505	510	597	422
43	539	596	481	486	566	403
42	513	565	459	467	543	389
41	482	529	434	438	509	364
40	461	506	416	423	492	353
39	434	474	393	399	463	332
38	411	448	373	381	442	318
37	387	422	352	360	420	300
36	367	399	334	345	401	287.1
35	347	377	316	329	383	273.7
34	326	355	296.8	313	364	260.9
33	308	336	280.5	299.4	348	249.4
32	292.4	319	265.8	287.1	334	238.9
31	275.1	301	249.1	272.8	318	226.6
30	264.4	288.9	239.4	265.8	309	221
29	250.5	274.3	226.3	254.6	297.3	210.8
28	238.5	262.8	213.9	247.1	288.9	204.1
27	227.6	252.1	202.6	239.2	281.1	196.1
26	216.8	242.3	190.8	232.7	275	189.2
25	206.9	234.1	179.3	226.7	269.7	182.4
24	197.6	225.7	169	220.9	264.6	175.9
23	188.3	217.3	158.7	214.4	258.3	169.1
22	178.5	207.8	148.7	207.1	250.3	162.5
21	168	196.6	138.8	198.1	239.1	155.7
20	158	184.2	131.3	187.7	225.3	148.9
19	146.1	170.3	121.4	175.7	208.8	141.4
18	133.5	155.1	111.4	162.7	190.8	133.7
17	117.2	133.7	100.4	147.6	170	124.3
16	101.9	113.8	89.7	133.3	150.2	115.7
15	88	96.3	79.6	118.9	131.9	105.5
14	76.3	82.8	69.7	108.2	118.9	97
13	68.1	73.3	62.8	100.2	109.3	90.8
12	63	68	58	95.9	104.1	87.3
11	60.8	65.6	55.9	94.7	102.7	86.4
10	61	65.2	56.6	97.5	106.1	88.5
9	63.5	67.8	59.1	103.7	113.1	93.9
8	68.7	73.3	64	114.4	124.3	104.1
7	76.9	81.7	72	130.9	141.4	119.9
6	87.5	91.9	82.9	154.2	165.3	142.6
5	104	107.7	100.1	187.5	199.5	175
4	135.6	139.5	131.7	247.5	262.6	231.7
3	186.3	189.4	183.1	349	371	327
2	269.7	269.8	269.5	511	542	480
1	433	425	441	843	888	797
0	2,669	2,985	2,347	4,655	5,152	4,147

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 the Congo, the most common age of death is 78, compared to 0 in Guinea-Bissau. The median age of death is 71.8 in the Congo and 71.8 in Guinea-Bissau, 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 the Congo and Guinea-Bissau more than their death rates.

Life expectancy in other countries

+ -

1x