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

Life expectancy by current age

Chart Table

Argentina

Male

Female

Guinea-Bissau

Male

Female

1x

Current age, years	Total life expectancy, years
	Argentina			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	102.6	102.3	102.7	102	101.9	102.1
99	101.7	101.4	101.8	101.1	101	101.2
98	100.8	100.6	100.9	100.2	100.1	100.3
97	100	99.8	100.1	99.3	99.2	99.4
96	99.2	99	99.3	98.4	98.3	98.5
95	98.4	98.2	98.5	97.6	97.4	97.6
94	97.6	97.3	97.7	96.7	96.6	96.8
93	96.9	96.6	97	95.9	95.7	95.9
92	96.1	95.8	96.3	95	94.9	95.1
91	95.4	95	95.6	94.2	94	94.3
90	94.7	94.3	94.9	93.4	93.2	93.5
89	94	93.6	94.2	92.6	92.4	92.7
88	93.4	92.9	93.6	91.8	91.6	92
87	92.7	92.2	93	91	90.8	91.2
86	92.1	91.5	92.4	90.3	90	90.4
85	91.5	90.8	91.8	89.5	89.3	89.7
84	90.9	90.2	91.3	88.8	88.5	89
83	90.3	89.5	90.8	88.1	87.8	88.3
82	89.8	88.9	90.3	87.4	87.1	87.7
81	89.3	88.3	89.8	86.8	86.4	87
80	88.8	87.8	89.4	86.1	85.7	86.4
79	88.3	87.2	89	85.5	85.1	85.8
78	87.9	86.7	88.6	84.9	84.4	85.2
77	87.4	86.2	88.3	84.3	83.8	84.7
76	87	85.8	87.9	83.7	83.2	84.1
75	86.6	85.3	87.6	83.2	82.6	83.6
74	86.3	84.9	87.3	82.7	82.1	83.1
73	85.9	84.5	87	82.2	81.5	82.6
72	85.5	84.1	86.7	81.7	81	82.1
71	85.2	83.7	86.4	81.2	80.5	81.7
70	84.9	83.3	86.1	80.7	80	81.3
69	84.6	82.9	85.9	80.3	79.5	80.9
68	84.2	82.6	85.6	79.9	79.1	80.5
67	83.9	82.2	85.4	79.5	78.6	80.1
66	83.7	81.9	85.2	79.1	78.2	79.8
65	83.4	81.6	84.9	78.7	77.8	79.4
64	83.1	81.3	84.7	78.4	77.4	79.1
63	82.9	81	84.5	78	77	78.8
62	82.7	80.7	84.3	77.7	76.6	78.5
61	82.4	80.5	84.2	77.4	76.3	78.2
60	82.2	80.3	84	77.1	75.9	78
59	82	80	83.8	76.8	75.6	77.7
58	81.8	79.8	83.7	76.5	75.3	77.5
57	81.7	79.6	83.5	76.3	75	77.2
56	81.5	79.4	83.4	76	74.7	77
55	81.3	79.3	83.3	75.7	74.4	76.8
54	81.2	79.1	83.1	75.5	74.1	76.6
53	81.1	78.9	83	75.2	73.8	76.4
52	80.9	78.8	82.9	75	73.5	76.2
51	80.8	78.7	82.8	74.8	73.3	76
50	80.7	78.5	82.7	74.6	73	75.8
49	80.6	78.4	82.6	74.4	72.8	75.6
48	80.5	78.3	82.5	74.2	72.6	75.5
47	80.4	78.2	82.5	74	72.4	75.3
46	80.3	78.1	82.4	73.8	72.1	75.1
45	80.2	78	82.3	73.6	71.9	75
44	80.2	77.9	82.2	73.4	71.7	74.8
43	80.1	77.9	82.2	73.3	71.5	74.7
42	80	77.8	82.1	73.1	71.4	74.6
41	80	77.7	82.1	72.9	71.2	74.4
40	79.9	77.6	82	72.8	71	74.3
39	79.8	77.6	82	72.6	70.8	74.2
38	79.8	77.5	81.9	72.5	70.7	74
37	79.7	77.5	81.9	72.3	70.5	73.9
36	79.7	77.4	81.8	72.2	70.3	73.8
35	79.6	77.3	81.8	72	70.2	73.7
34	79.6	77.3	81.7	71.9	70	73.5
33	79.5	77.2	81.7	71.8	69.9	73.4
32	79.5	77.2	81.7	71.7	69.7	73.3
31	79.4	77.1	81.6	71.5	69.6	73.2
30	79.4	77	81.6	71.4	69.5	73.1
29	79.3	77	81.6	71.3	69.3	73
28	79.3	76.9	81.5	71.2	69.2	72.9
27	79.2	76.9	81.5	71.1	69.1	72.8
26	79.2	76.8	81.5	70.9	68.9	72.7
25	79.1	76.7	81.4	70.8	68.8	72.6
24	79.1	76.7	81.4	70.7	68.7	72.5
23	79.1	76.6	81.4	70.6	68.5	72.4
22	79	76.6	81.4	70.5	68.4	72.4
21	79	76.5	81.3	70.4	68.3	72.3
20	78.9	76.4	81.3	70.3	68.2	72.2
19	78.9	76.3	81.3	70.2	68.1	72.1
18	78.8	76.3	81.2	70.1	68	72
17	78.8	76.2	81.2	70	67.9	72
16	78.7	76.2	81.2	69.9	67.8	71.9
15	78.7	76.2	81.2	69.9	67.7	71.8
14	78.7	76.2	81.2	69.8	67.6	71.8
13	78.7	76.1	81.1	69.7	67.6	71.7
12	78.7	76.1	81.1	69.7	67.5	71.7
11	78.7	76.1	81.1	69.6	67.4	71.6
10	78.6	76.1	81.1	69.6	67.4	71.5
9	78.6	76.1	81.1	69.5	67.3	71.5
8	78.6	76.1	81.1	69.4	67.2	71.4
7	78.6	76.1	81.1	69.3	67.1	71.3
6	78.6	76.1	81.1	69.2	67	71.2
5	78.6	76	81.1	69.1	66.9	71.1
4	78.6	76	81	68.9	66.7	70.9
3	78.6	76	81	68.7	66.5	70.7
2	78.5	76	81	68.3	66.1	70.4
1	78.5	76	81	67.7	65.5	69.8
0	77.8	75.3	80.3	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 Argentina can expect to live to 79.4 years compared to 71.4 in Guinea-Bissau, rising to 83.4 and 78.7 at 65, and to 88.8 and 86.1 at 80 — higher than the 77.8 and 64.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Argentina

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Survival probability
	Argentina			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	1.96%	1.06%	2.73%	0.17%	0.1%	0.25%
99	2.74%	1.52%	3.8%	0.27%	0.15%	0.39%
98	3.74%	2.11%	5.15%	0.41%	0.24%	0.58%
97	4.98%	2.88%	6.8%	0.61%	0.36%	0.85%
96	6.48%	3.84%	8.79%	0.89%	0.54%	1.23%
95	8.24%	5.01%	11.1%	1.27%	0.79%	1.73%
94	10.3%	6.42%	13.7%	1.76%	1.12%	2.37%
93	12.6%	8.07%	16.6%	2.4%	1.55%	3.18%
92	15.1%	9.97%	19.8%	3.19%	2.11%	4.18%
91	18%	12.1%	23.3%	4.14%	2.81%	5.38%
90	21%	14.5%	26.9%	5.32%	3.67%	6.82%
89	24.2%	17%	30.7%	6.68%	4.71%	8.48%
88	27.5%	19.8%	34.6%	8.27%	5.94%	10.4%
87	30.8%	22.7%	38.4%	10.1%	7.36%	12.5%
86	34.3%	25.8%	42.2%	12.1%	8.99%	14.9%
85	37.7%	29%	45.9%	14.3%	10.8%	17.4%
84	41.2%	32.3%	49.5%	16.7%	12.8%	20.2%
83	44.6%	35.7%	53%	19.3%	15%	23%
82	47.9%	39.2%	56.3%	21.9%	17.3%	26%
81	51.1%	42.5%	59.4%	24.7%	19.7%	28.9%
80	54.2%	45.8%	62.3%	27.5%	22.3%	32%
79	57.1%	49%	65%	30.4%	24.9%	35.1%
78	59.8%	52.1%	67.4%	33.2%	27.5%	38.1%
77	62.4%	55%	69.7%	36.1%	30.2%	41.1%
76	64.8%	57.7%	71.8%	38.9%	32.9%	44.1%
75	67.1%	60.4%	73.7%	41.7%	35.6%	46.9%
74	69.2%	62.9%	75.5%	44.4%	38.3%	49.7%
73	71.3%	65.3%	77.2%	47%	40.9%	52.4%
72	73.2%	67.5%	78.8%	49.6%	43.5%	54.9%
71	75%	69.7%	80.3%	51.9%	45.9%	57.3%
70	76.7%	71.8%	81.6%	54.3%	48.3%	59.6%
69	78.3%	73.8%	82.9%	56.4%	50.6%	61.7%
68	79.9%	75.7%	84.1%	58.5%	52.8%	63.6%
67	81.3%	77.4%	85.2%	60.4%	54.9%	65.5%
66	82.6%	79.1%	86.3%	62.2%	56.9%	67.2%
65	83.9%	80.6%	87.2%	64%	58.8%	68.8%
64	85.1%	82%	88.1%	65.6%	60.6%	70.4%
63	86.1%	83.4%	89%	67.2%	62.4%	71.8%
62	87.1%	84.6%	89.8%	68.6%	64%	73.1%
61	88.1%	85.7%	90.5%	70%	65.6%	74.3%
60	88.9%	86.7%	91.1%	71.3%	67.1%	75.4%
59	89.7%	87.7%	91.8%	72.5%	68.4%	76.5%
58	90.4%	88.5%	92.3%	73.6%	69.7%	77.5%
57	91.1%	89.3%	92.8%	74.7%	70.9%	78.4%
56	91.7%	90.1%	93.3%	75.7%	72.1%	79.2%
55	92.2%	90.7%	93.7%	76.6%	73.2%	80%
54	92.7%	91.3%	94.1%	77.5%	74.3%	80.8%
53	93.1%	91.9%	94.5%	78.4%	75.3%	81.5%
52	93.6%	92.4%	94.8%	79.2%	76.2%	82.2%
51	93.9%	92.8%	95.1%	79.9%	77.1%	82.8%
50	94.3%	93.2%	95.4%	80.7%	78%	83.4%
49	94.6%	93.6%	95.7%	81.3%	78.8%	84%
48	94.9%	93.9%	95.9%	82%	79.5%	84.5%
47	95.2%	94.3%	96.2%	82.6%	80.2%	85%
46	95.4%	94.6%	96.4%	83.1%	80.9%	85.4%
45	95.7%	94.8%	96.5%	83.7%	81.5%	85.9%
44	95.9%	95%	96.7%	84.2%	82.1%	86.3%
43	96.1%	95.3%	96.9%	84.7%	82.7%	86.7%
42	96.2%	95.5%	97%	85.1%	83.2%	87.1%
41	96.4%	95.7%	97.2%	85.6%	83.7%	87.5%
40	96.5%	95.8%	97.3%	86%	84.2%	87.8%
39	96.7%	96%	97.4%	86.4%	84.7%	88.1%
38	96.8%	96.2%	97.5%	86.8%	85.1%	88.5%
37	96.9%	96.3%	97.6%	87.1%	85.5%	88.8%
36	97.1%	96.5%	97.7%	87.5%	85.9%	89%
35	97.2%	96.6%	97.8%	87.8%	86.3%	89.3%
34	97.3%	96.7%	97.9%	88.1%	86.7%	89.6%
33	97.4%	96.9%	98%	88.4%	87%	89.8%
32	97.5%	97%	98%	88.7%	87.4%	90.1%
31	97.6%	97.1%	98.1%	89%	87.7%	90.3%
30	97.7%	97.2%	98.2%	89.2%	88%	90.5%
29	97.8%	97.3%	98.2%	89.5%	88.3%	90.7%
28	97.9%	97.5%	98.3%	89.7%	88.6%	90.9%
27	97.9%	97.6%	98.3%	90%	88.9%	91.1%
26	98%	97.7%	98.4%	90.2%	89.1%	91.3%
25	98.1%	97.8%	98.4%	90.4%	89.4%	91.5%
24	98.2%	97.9%	98.5%	90.7%	89.7%	91.7%
23	98.3%	98%	98.5%	90.9%	89.9%	91.8%
22	98.4%	98.2%	98.6%	91.1%	90.2%	92%
21	98.5%	98.3%	98.6%	91.3%	90.4%	92.2%
20	98.5%	98.4%	98.7%	91.5%	90.6%	92.3%
19	98.6%	98.5%	98.7%	91.6%	90.9%	92.5%
18	98.7%	98.6%	98.8%	91.8%	91%	92.6%
17	98.8%	98.7%	98.8%	92%	91.2%	92.7%
16	98.8%	98.8%	98.8%	92.1%	91.4%	92.8%
15	98.8%	98.8%	98.9%	92.2%	91.5%	92.9%
14	98.9%	98.9%	98.9%	92.3%	91.6%	93%
13	98.9%	98.9%	98.9%	92.4%	91.7%	93.1%
12	98.9%	98.9%	98.9%	92.5%	91.8%	93.2%
11	98.9%	98.9%	99%	92.6%	91.9%	93.3%
10	98.9%	98.9%	99%	92.7%	92%	93.4%
9	99%	98.9%	99%	92.8%	92.2%	93.5%
8	99%	99%	99%	92.9%	92.3%	93.6%
7	99%	99%	99%	93.1%	92.4%	93.7%
6	99%	99%	99%	93.2%	92.6%	93.8%
5	99%	99%	99%	93.4%	92.8%	94%
4	99%	99%	99.1%	93.6%	93%	94.2%
3	99.1%	99.1%	99.1%	94%	93.4%	94.6%
2	99.1%	99.1%	99.1%	94.5%	94%	95.1%
1	99.1%	99.1%	99.2%	95.3%	94.8%	95.9%

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 71.3% in Guinea-Bissau are expected to live past 60, 76.7% and 54.3% past 70, 54.2% and 27.5% past 80, and only 21% 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

Argentina

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Probability of dying
	Argentina			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	30.3%	31.7%	30%	37.5%	38.9%	36.9%
99	28.6%	30%	28.2%	36.1%	37.5%	35.4%
98	26.7%	28.3%	26.2%	34.2%	35.7%	33.5%
97	24.9%	26.6%	24.4%	32.8%	34.3%	32%
96	23.1%	25%	22.6%	31.3%	32.8%	30.5%
95	21.4%	23.4%	20.7%	29.7%	31.3%	28.9%
94	19.8%	21.9%	19%	28%	29.6%	27.1%
93	18.3%	20.5%	17.5%	26.3%	28%	25.5%
92	17%	19%	16.2%	24.8%	26.4%	23.9%
91	15.7%	17.6%	15%	23.1%	24.8%	22.2%
90	14.4%	16.3%	13.6%	22.1%	23.6%	21.2%
89	13.2%	15.1%	12.3%	20.4%	22%	19.5%
88	12%	13.9%	11.1%	19.2%	20.7%	18.3%
87	10.9%	12.9%	9.97%	17.9%	19.3%	17%
86	10%	12%	8.98%	16.7%	18.1%	15.9%
85	9.16%	11.1%	8.1%	15.5%	16.8%	14.7%
84	8.39%	10.3%	7.3%	14.4%	15.7%	13.6%
83	7.66%	9.51%	6.56%	13.2%	14.5%	12.4%
82	6.96%	8.73%	5.87%	12.2%	13.4%	11.4%
81	6.29%	7.95%	5.23%	11%	12.2%	10.3%
80	5.66%	7.2%	4.64%	10.3%	11.4%	9.62%
79	5.08%	6.49%	4.11%	9.4%	10.5%	8.71%
78	4.56%	5.85%	3.65%	8.69%	9.71%	8.04%
77	4.11%	5.28%	3.26%	7.9%	8.89%	7.28%
76	3.72%	4.78%	2.92%	7.28%	8.22%	6.7%
75	3.38%	4.36%	2.64%	6.69%	7.58%	6.14%
74	3.1%	3.99%	2.4%	6.1%	6.96%	5.58%
73	2.85%	3.67%	2.19%	5.56%	6.39%	5.07%
72	2.63%	3.39%	2%	5.1%	5.88%	4.63%
71	2.43%	3.13%	1.83%	4.57%	5.32%	4.12%
70	2.24%	2.9%	1.68%	4.26%	4.97%	3.84%
69	2.07%	2.68%	1.54%	3.82%	4.5%	3.4%
68	1.91%	2.47%	1.42%	3.51%	4.15%	3.11%
67	1.76%	2.28%	1.3%	3.2%	3.82%	2.82%
66	1.62%	2.08%	1.2%	2.94%	3.52%	2.57%
65	1.49%	1.9%	1.11%	2.73%	3.28%	2.37%
64	1.37%	1.74%	1.03%	2.51%	3.02%	2.16%
63	1.25%	1.58%	0.95%	2.31%	2.79%	1.97%
62	1.15%	1.44%	0.87%	2.13%	2.58%	1.8%
61	1.05%	1.31%	0.8%	1.94%	2.35%	1.62%
60	0.96%	1.19%	0.73%	1.82%	2.2%	1.52%
59	0.87%	1.08%	0.67%	1.65%	2.01%	1.36%
58	0.79%	0.98%	0.61%	1.53%	1.86%	1.26%
57	0.72%	0.89%	0.55%	1.41%	1.72%	1.15%
56	0.65%	0.8%	0.5%	1.32%	1.61%	1.08%
55	0.59%	0.73%	0.46%	1.24%	1.51%	1%
54	0.54%	0.66%	0.42%	1.16%	1.42%	0.94%
53	0.49%	0.59%	0.38%	1.09%	1.33%	0.88%
52	0.44%	0.54%	0.35%	1.03%	1.25%	0.83%
51	0.41%	0.49%	0.32%	0.94%	1.15%	0.76%
50	0.37%	0.45%	0.3%	0.9%	1.09%	0.72%
49	0.34%	0.41%	0.28%	0.83%	1.01%	0.66%
48	0.31%	0.37%	0.25%	0.77%	0.94%	0.62%
47	0.28%	0.33%	0.23%	0.72%	0.88%	0.58%
46	0.26%	0.3%	0.21%	0.68%	0.82%	0.54%
45	0.23%	0.27%	0.19%	0.65%	0.78%	0.52%
44	0.21%	0.25%	0.18%	0.61%	0.73%	0.49%
43	0.2%	0.23%	0.16%	0.57%	0.69%	0.46%
42	0.18%	0.21%	0.15%	0.55%	0.65%	0.45%
41	0.17%	0.2%	0.14%	0.51%	0.61%	0.42%
40	0.16%	0.18%	0.13%	0.49%	0.58%	0.4%
39	0.15%	0.18%	0.12%	0.46%	0.55%	0.38%
38	0.14%	0.17%	0.11%	0.44%	0.52%	0.36%
37	0.13%	0.16%	0.11%	0.41%	0.49%	0.34%
36	0.12%	0.15%	0.1%	0.39%	0.47%	0.32%
35	0.12%	0.14%	0.09%	0.37%	0.44%	0.31%
34	0.11%	0.14%	0.08%	0.36%	0.42%	0.29%
33	0.11%	0.13%	0.08%	0.34%	0.4%	0.28%
32	0.1%	0.13%	0.07%	0.32%	0.38%	0.27%
31	0.1%	0.12%	0.07%	0.31%	0.36%	0.25%
30	0.09%	0.12%	0.06%	0.3%	0.35%	0.24%
29	0.09%	0.12%	0.06%	0.28%	0.34%	0.23%
28	0.09%	0.12%	0.06%	0.28%	0.33%	0.22%
27	0.09%	0.12%	0.06%	0.27%	0.32%	0.22%
26	0.09%	0.12%	0.05%	0.26%	0.31%	0.21%
25	0.09%	0.12%	0.05%	0.25%	0.3%	0.2%
24	0.09%	0.12%	0.05%	0.24%	0.3%	0.19%
23	0.09%	0.12%	0.05%	0.24%	0.29%	0.18%
22	0.09%	0.12%	0.05%	0.23%	0.28%	0.18%
21	0.09%	0.13%	0.05%	0.22%	0.26%	0.17%
20	0.09%	0.12%	0.05%	0.21%	0.25%	0.16%
19	0.08%	0.12%	0.05%	0.19%	0.23%	0.15%
18	0.07%	0.1%	0.04%	0.18%	0.21%	0.14%
17	0.06%	0.08%	0.04%	0.16%	0.19%	0.13%
16	0.05%	0.06%	0.04%	0.14%	0.16%	0.12%
15	0.04%	0.05%	0.03%	0.13%	0.14%	0.11%
14	0.03%	0.03%	0.03%	0.12%	0.13%	0.1%
13	0.02%	0.02%	0.02%	0.11%	0.12%	0.1%
12	0.02%	0.02%	0.02%	0.1%	0.11%	0.09%
11	0.02%	0.02%	0.02%	0.1%	0.11%	0.09%
10	0.01%	0.01%	0.01%	0.11%	0.12%	0.09%
9	0.01%	0.01%	0.01%	0.11%	0.12%	0.1%
8	0.01%	0.01%	0.01%	0.12%	0.13%	0.11%
7	0.01%	0.02%	0.01%	0.14%	0.15%	0.13%
6	0.02%	0.02%	0.02%	0.17%	0.18%	0.15%
5	0.02%	0.02%	0.02%	0.2%	0.21%	0.19%
4	0.02%	0.02%	0.02%	0.26%	0.28%	0.25%
3	0.03%	0.03%	0.03%	0.37%	0.4%	0.35%
2	0.03%	0.03%	0.04%	0.54%	0.58%	0.5%
1	0.04%	0.04%	0.05%	0.88%	0.94%	0.83%
0	0.85%	0.88%	0.83%	4.65%	5.15%	4.15%

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

The annual chance of dying is 0.85% in the birth year in Argentina and 4.65% in Guinea-Bissau, 0.09% vs 0.3% at age 30, 0.96% vs 1.82% at 60, and 5.66% vs 10.3% at 80.

Death rate by age in Argentina vs Guinea-Bissau

Chart Table

Argentina

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Death rate
	Argentina			Guinea-Bissau
	Total	Male	Female	Total	Male	Female
100	520	252.3	745	10.5	0	24.3
99	784	455	1,070	98	57.6	136.6
98	998	599	1,350	141.4	85.4	194.6
97	1,238	767	1,658	201.5	124.9	273.7
96	1,497	959	1,982	279.6	177.9	375
95	1,759	1,172	2,297	377	246.6	499
94	2,028	1,408	2,604	493	331	643
93	2,300	1,654	2,907	631	435	810
92	2,573	1,898	3,211	791	558	1,001
91	2,825	2,133	3,482	959	695	1,195
90	3,023	2,357	3,661	1,173	865	1,447
89	3,178	2,564	3,776	1,366	1,035	1,657
88	3,294	2,752	3,833	1,587	1,228	1,900
87	3,373	2,926	3,829	1,803	1,424	2,129
86	3,425	3,083	3,789	2,022	1,627	2,357
85	3,453	3,220	3,720	2,219	1,819	2,554
84	3,451	3,329	3,616	2,407	2,014	2,732
83	3,414	3,399	3,478	2,545	2,169	2,850
82	3,336	3,417	3,307	2,671	2,318	2,955
81	3,218	3,382	3,106	2,719	2,409	2,966
80	3,068	3,299	2,889	2,842	2,546	3,078
79	2,902	3,182	2,670	2,853	2,605	3,052
78	2,731	3,045	2,461	2,888	2,674	3,064
77	2,565	2,902	2,269	2,852	2,688	2,994
76	2,411	2,761	2,097	2,832	2,707	2,950
75	2,270	2,629	1,945	2,789	2,702	2,883
74	2,145	2,508	1,810	2,710	2,666	2,774
73	2,030	2,396	1,688	2,618	2,614	2,655
72	1,922	2,289	1,575	2,527	2,557	2,542
71	1,819	2,185	1,469	2,375	2,444	2,361
70	1,720	2,082	1,369	2,313	2,399	2,287
69	1,623	1,979	1,277	2,152	2,277	2,096
68	1,528	1,872	1,191	2,051	2,193	1,979
67	1,434	1,762	1,111	1,934	2,096	1,843
66	1,342	1,649	1,037	1,830	2,002	1,725
65	1,251	1,535	968	1,748	1,928	1,631
64	1,164	1,424	904	1,645	1,832	1,517
63	1,080	1,317	842	1,551	1,740	1,414
62	999	1,216	782	1,463	1,651	1,319
61	922	1,121	723	1,354	1,541	1,204
60	850	1,032	667	1,297	1,477	1,147
59	781	948	613	1,195	1,374	1,041
58	716	869	562	1,127	1,299	974
57	654	794	515	1,055	1,223	903
56	597	723	470	1,002	1,164	854
55	544	658	430	949	1,106	803
54	497	598	394	903	1,054	760
53	454	545	362	854	1,000	715
52	416	497	334	812	952	680
51	382	454	308	755	890	627
50	351	415	285.3	724	853	602
49	323	379	263.7	673	794	555
48	295.6	346	243.3	635	748	523
47	270.1	315	223.7	596	702	489
46	246.2	285.9	205.1	565	663	465
45	224.3	259.7	187.8	540	633	445
44	204.9	236.5	172.1	510	597	422
43	188.1	216.9	158.3	486	566	403
42	174.1	200.8	146.5	467	543	389
41	162.5	187.7	136.2	438	509	364
40	152.7	177.1	127.2	423	492	353
39	144	168	118.9	399	463	332
38	136.1	160	111.1	381	442	318
37	128.5	152.6	103.3	360	420	300
36	121.2	145.5	95.8	345	401	287.1
35	114.4	139	88.6	329	383	273.7
34	108.1	133	82	313	364	260.9
33	102.6	128	76.1	299.4	348	249.4
32	98.2	124.1	71.1	287.1	334	238.9
31	94.7	121.2	66.9	272.8	318	226.6
30	92	119.3	63.5	265.8	309	221
29	89.8	117.9	60.4	254.6	297.3	210.8
28	88	117	57.6	247.1	288.9	204.1
27	86.4	116.3	55.1	239.2	281.1	196.1
26	85.1	116	52.7	232.7	275	189.2
25	84.2	116.3	50.6	226.7	269.7	182.4
24	83.9	117.2	49	220.9	264.6	175.9
23	84.5	119.4	47.9	214.4	258.3	169.1
22	85.6	122	47.4	207.1	250.3	162.5
21	86.6	123.9	47.2	198.1	239.1	155.7
20	85.9	122.9	46.9	187.7	225.3	148.9
19	82	116.1	45.9	175.7	208.8	141.4
18	73.8	102.2	43.6	162.7	190.8	133.7
17	62.3	83.4	40	147.6	170	124.3
16	49.6	63.1	35.2	133.3	150.2	115.7
15	38.2	45.8	30.1	118.9	131.9	105.5
14	29.1	32.7	25.1	108.2	118.9	97
13	22.6	24.1	21	100.2	109.3	90.8
12	18.2	18.8	17.7	95.9	104.1	87.3
11	15.5	15.7	15.3	94.7	102.7	86.4
10	14	14.1	13.8	97.5	106.1	88.5
9	13.4	13.8	13	103.7	113.1	93.9
8	13.6	14.2	13.1	114.4	124.3	104.1
7	14.6	15.3	13.8	130.9	141.4	119.9
6	16.4	17.2	15.5	154.2	165.3	142.6
5	19	19.7	18.3	187.5	199.5	175
4	22.7	22.9	22.5	247.5	262.6	231.7
3	27.6	26.9	28.4	349	371	327
2	34.2	31.8	36.6	511	542	480
1	42.6	37.8	47.7	843	888	797
0	851	876	826	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 Argentina, the most common age of death is 85, compared to 0 in Guinea-Bissau. The median age of death is 81.4 in Argentina 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 Argentina and Guinea-Bissau more than their death rates.

Life expectancy in other countries

+ -

1x