Life Expectancy in Argentina vs Bangladesh (1950-2026)

Life expectancy by current age

Chart Table

Argentina

Male

Female

Bangladesh

Male

Female

1x

Current age, years	Total life expectancy, years
	Argentina			Bangladesh
	Average	Male	Female	Average	Male	Female
100	102.6	102.3	102.7	102.2	101.9	102.3
99	101.7	101.4	101.8	101.2	100.9	101.3
98	100.8	100.6	100.9	100.3	99.9	100.4
97	100	99.8	100.1	99.4	99.1	99.6
96	99.2	99	99.3	98.6	98.2	98.8
95	98.4	98.2	98.5	97.8	97.4	98
94	97.6	97.3	97.7	97	96.6	97.2
93	96.9	96.6	97	96.3	95.9	96.5
92	96.1	95.8	96.3	95.5	95.1	95.8
91	95.4	95	95.6	94.8	94.4	95.1
90	94.7	94.3	94.9	94.1	93.6	94.4
89	94	93.6	94.2	93.4	92.9	93.8
88	93.4	92.9	93.6	92.8	92.2	93.1
87	92.7	92.2	93	92.1	91.6	92.5
86	92.1	91.5	92.4	91.5	90.9	91.9
85	91.5	90.8	91.8	90.9	90.3	91.3
84	90.9	90.2	91.3	90.3	89.6	90.8
83	90.3	89.5	90.8	89.7	89	90.2
82	89.8	88.9	90.3	89.2	88.5	89.7
81	89.3	88.3	89.8	88.6	87.9	89.2
80	88.8	87.8	89.4	88.1	87.4	88.7
79	88.3	87.2	89	87.6	86.8	88.3
78	87.9	86.7	88.6	87.1	86.3	87.8
77	87.4	86.2	88.3	86.7	85.8	87.4
76	87	85.8	87.9	86.2	85.4	87
75	86.6	85.3	87.6	85.8	84.9	86.6
74	86.3	84.9	87.3	85.4	84.5	86.2
73	85.9	84.5	87	85	84	85.9
72	85.5	84.1	86.7	84.6	83.6	85.5
71	85.2	83.7	86.4	84.2	83.2	85.2
70	84.9	83.3	86.1	83.9	82.9	84.9
69	84.6	82.9	85.9	83.6	82.5	84.6
68	84.2	82.6	85.6	83.3	82.2	84.3
67	83.9	82.2	85.4	83	81.9	84
66	83.7	81.9	85.2	82.7	81.6	83.8
65	83.4	81.6	84.9	82.4	81.3	83.5
64	83.1	81.3	84.7	82.2	81.1	83.3
63	82.9	81	84.5	81.9	80.8	83.1
62	82.7	80.7	84.3	81.6	80.5	82.9
61	82.4	80.5	84.2	81.4	80.2	82.7
60	82.2	80.3	84	81.2	79.9	82.5
59	82	80	83.8	80.9	79.6	82.3
58	81.8	79.8	83.7	80.7	79.4	82.2
57	81.7	79.6	83.5	80.5	79.1	82
56	81.5	79.4	83.4	80.3	78.9	81.8
55	81.3	79.3	83.3	80.1	78.7	81.7
54	81.2	79.1	83.1	80	78.5	81.5
53	81.1	78.9	83	79.8	78.3	81.4
52	80.9	78.8	82.9	79.7	78.1	81.3
51	80.8	78.7	82.8	79.5	78	81.1
50	80.7	78.5	82.7	79.4	77.8	81
49	80.6	78.4	82.6	79.2	77.7	80.9
48	80.5	78.3	82.5	79.1	77.6	80.8
47	80.4	78.2	82.5	79	77.4	80.7
46	80.3	78.1	82.4	78.9	77.3	80.6
45	80.2	78	82.3	78.8	77.3	80.5
44	80.2	77.9	82.2	78.8	77.2	80.5
43	80.1	77.9	82.2	78.7	77.1	80.4
42	80	77.8	82.1	78.6	77	80.3
41	80	77.7	82.1	78.5	77	80.2
40	79.9	77.6	82	78.5	76.9	80.2
39	79.8	77.6	82	78.4	76.8	80.1
38	79.8	77.5	81.9	78.4	76.8	80.1
37	79.7	77.5	81.9	78.3	76.7	80
36	79.7	77.4	81.8	78.3	76.7	80
35	79.6	77.3	81.8	78.2	76.6	79.9
34	79.6	77.3	81.7	78.2	76.6	79.9
33	79.5	77.2	81.7	78.1	76.5	79.8
32	79.5	77.2	81.7	78.1	76.5	79.8
31	79.4	77.1	81.6	78	76.4	79.8
30	79.4	77	81.6	78	76.4	79.7
29	79.3	77	81.6	77.9	76.3	79.7
28	79.3	76.9	81.5	77.9	76.3	79.6
27	79.2	76.9	81.5	77.8	76.2	79.6
26	79.2	76.8	81.5	77.8	76.2	79.6
25	79.1	76.7	81.4	77.8	76.1	79.5
24	79.1	76.7	81.4	77.7	76.1	79.5
23	79.1	76.6	81.4	77.7	76	79.4
22	79	76.6	81.4	77.6	76	79.4
21	79	76.5	81.3	77.6	75.9	79.3
20	78.9	76.4	81.3	77.5	75.9	79.3
19	78.9	76.3	81.3	77.5	75.8	79.2
18	78.8	76.3	81.2	77.4	75.8	79.2
17	78.8	76.2	81.2	77.4	75.7	79.1
16	78.7	76.2	81.2	77.3	75.7	79.1
15	78.7	76.2	81.2	77.3	75.6	79
14	78.7	76.2	81.2	77.2	75.6	79
13	78.7	76.1	81.1	77.2	75.6	78.9
12	78.7	76.1	81.1	77.2	75.5	78.9
11	78.7	76.1	81.1	77.1	75.5	78.9
10	78.6	76.1	81.1	77.1	75.5	78.9
9	78.6	76.1	81.1	77.1	75.5	78.8
8	78.6	76.1	81.1	77.1	75.4	78.8
7	78.6	76.1	81.1	77	75.4	78.8
6	78.6	76.1	81.1	77	75.3	78.7
5	78.6	76	81.1	76.9	75.3	78.6
4	78.6	76	81	76.9	75.2	78.6
3	78.6	76	81	76.8	75.2	78.5
2	78.5	76	81	76.8	75.2	78.5
1	78.5	76	81	76.6	75	78.3
0	77.8	75.3	80.3	75.5	73.8	77.2

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 Argentina can expect to live to 79.4 years compared to 78 in Bangladesh, rising to 83.4 and 82.4 at 65, and to 88.8 and 88.1 at 80 — higher than the 77.8 and 75.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Argentina

Male

Female

Bangladesh

Male

Female

1x

Age	Survival probability
	Argentina			Bangladesh
	Average	Male	Female	Average	Male	Female
100	1.96%	1.06%	2.73%	0.86%	0.36%	1.4%
99	2.74%	1.52%	3.8%	1.37%	0.63%	2.15%
98	3.74%	2.11%	5.15%	2.06%	1.05%	3.16%
97	4.98%	2.88%	6.8%	2.99%	1.63%	4.44%
96	6.48%	3.84%	8.79%	4.16%	2.43%	6.03%
95	8.24%	5.01%	11.1%	5.6%	3.46%	7.92%
94	10.3%	6.42%	13.7%	7.32%	4.75%	10.1%
93	12.6%	8.07%	16.6%	9.32%	6.3%	12.6%
92	15.1%	9.97%	19.8%	11.6%	8.13%	15.3%
91	18%	12.1%	23.3%	14.1%	10.2%	18.3%
90	21%	14.5%	26.9%	16.8%	12.6%	21.4%
89	24.2%	17%	30.7%	19.8%	15.2%	24.7%
88	27.5%	19.8%	34.6%	22.9%	18%	28.1%
87	30.8%	22.7%	38.4%	26.1%	21%	31.6%
86	34.3%	25.8%	42.2%	29.4%	24.1%	35%
85	37.7%	29%	45.9%	32.7%	27.4%	38.5%
84	41.2%	32.3%	49.5%	36.1%	30.7%	41.9%
83	44.6%	35.7%	53%	39.4%	34%	45.2%
82	47.9%	39.2%	56.3%	42.7%	37.3%	48.5%
81	51.1%	42.5%	59.4%	45.9%	40.5%	51.7%
80	54.2%	45.8%	62.3%	49%	43.7%	54.7%
79	57.1%	49%	65%	52%	46.8%	57.6%
78	59.8%	52.1%	67.4%	54.9%	49.9%	60.3%
77	62.4%	55%	69.7%	57.7%	52.9%	62.9%
76	64.8%	57.7%	71.8%	60.4%	55.7%	65.3%
75	67.1%	60.4%	73.7%	62.9%	58.5%	67.6%
74	69.2%	62.9%	75.5%	65.2%	61.1%	69.8%
73	71.3%	65.3%	77.2%	67.5%	63.5%	71.8%
72	73.2%	67.5%	78.8%	69.6%	65.8%	73.6%
71	75%	69.7%	80.3%	71.5%	68%	75.4%
70	76.7%	71.8%	81.6%	73.4%	69.9%	77%
69	78.3%	73.8%	82.9%	75.1%	71.8%	78.6%
68	79.9%	75.7%	84.1%	76.6%	73.4%	80%
67	81.3%	77.4%	85.2%	78.1%	75%	81.4%
66	82.6%	79.1%	86.3%	79.5%	76.4%	82.6%
65	83.9%	80.6%	87.2%	80.7%	77.8%	83.8%
64	85.1%	82%	88.1%	81.9%	79.2%	84.8%
63	86.1%	83.4%	89%	83.1%	80.5%	85.8%
62	87.1%	84.6%	89.8%	84.2%	81.8%	86.6%
61	88.1%	85.7%	90.5%	85.2%	83%	87.4%
60	88.9%	86.7%	91.1%	86.2%	84.2%	88.1%
59	89.7%	87.7%	91.8%	87.1%	85.4%	88.8%
58	90.4%	88.5%	92.3%	87.9%	86.4%	89.4%
57	91.1%	89.3%	92.8%	88.7%	87.4%	90%
56	91.7%	90.1%	93.3%	89.4%	88.3%	90.5%
55	92.2%	90.7%	93.7%	90.1%	89.1%	91%
54	92.7%	91.3%	94.1%	90.7%	89.8%	91.5%
53	93.1%	91.9%	94.5%	91.3%	90.5%	92%
52	93.6%	92.4%	94.8%	91.8%	91.1%	92.4%
51	93.9%	92.8%	95.1%	92.3%	91.7%	92.8%
50	94.3%	93.2%	95.4%	92.7%	92.2%	93.2%
49	94.6%	93.6%	95.7%	93.1%	92.6%	93.5%
48	94.9%	93.9%	95.9%	93.4%	93%	93.8%
47	95.2%	94.3%	96.2%	93.8%	93.4%	94.1%
46	95.4%	94.6%	96.4%	94%	93.7%	94.3%
45	95.7%	94.8%	96.5%	94.3%	94%	94.5%
44	95.9%	95%	96.7%	94.5%	94.2%	94.7%
43	96.1%	95.3%	96.9%	94.7%	94.4%	94.9%
42	96.2%	95.5%	97%	94.9%	94.6%	95.1%
41	96.4%	95.7%	97.2%	95.1%	94.8%	95.3%
40	96.5%	95.8%	97.3%	95.2%	95%	95.5%
39	96.7%	96%	97.4%	95.4%	95.1%	95.6%
38	96.8%	96.2%	97.5%	95.5%	95.3%	95.7%
37	96.9%	96.3%	97.6%	95.6%	95.4%	95.8%
36	97.1%	96.5%	97.7%	95.7%	95.5%	95.9%
35	97.2%	96.6%	97.8%	95.9%	95.6%	96%
34	97.3%	96.7%	97.9%	96%	95.8%	96.1%
33	97.4%	96.9%	98%	96.1%	95.9%	96.2%
32	97.5%	97%	98%	96.2%	96%	96.3%
31	97.6%	97.1%	98.1%	96.3%	96.1%	96.4%
30	97.7%	97.2%	98.2%	96.3%	96.2%	96.5%
29	97.8%	97.3%	98.2%	96.4%	96.3%	96.5%
28	97.9%	97.5%	98.3%	96.5%	96.4%	96.6%
27	97.9%	97.6%	98.3%	96.6%	96.5%	96.7%
26	98%	97.7%	98.4%	96.7%	96.6%	96.8%
25	98.1%	97.8%	98.4%	96.7%	96.7%	96.8%
24	98.2%	97.9%	98.5%	96.8%	96.7%	96.9%
23	98.3%	98%	98.5%	96.9%	96.8%	97%
22	98.4%	98.2%	98.6%	97%	96.9%	97%
21	98.5%	98.3%	98.6%	97%	97%	97.1%
20	98.5%	98.4%	98.7%	97.1%	97.1%	97.2%
19	98.6%	98.5%	98.7%	97.2%	97.2%	97.3%
18	98.7%	98.6%	98.8%	97.3%	97.3%	97.4%
17	98.8%	98.7%	98.8%	97.4%	97.4%	97.5%
16	98.8%	98.8%	98.8%	97.5%	97.4%	97.6%
15	98.8%	98.8%	98.9%	97.6%	97.5%	97.6%
14	98.9%	98.9%	98.9%	97.6%	97.6%	97.7%
13	98.9%	98.9%	98.9%	97.7%	97.6%	97.8%
12	98.9%	98.9%	98.9%	97.7%	97.7%	97.8%
11	98.9%	98.9%	99%	97.8%	97.7%	97.8%
10	98.9%	98.9%	99%	97.8%	97.8%	97.9%
9	99%	98.9%	99%	97.9%	97.8%	97.9%
8	99%	99%	99%	97.9%	97.8%	98%
7	99%	99%	99%	98%	97.9%	98%
6	99%	99%	99%	98%	97.9%	98.1%
5	99%	99%	99%	98.1%	98%	98.2%
4	99%	99%	99.1%	98.2%	98.1%	98.3%
3	99.1%	99.1%	99.1%	98.2%	98.1%	98.3%
2	99.1%	99.1%	99.1%	98.3%	98.2%	98.4%
1	99.1%	99.1%	99.2%	98.5%	98.4%	98.6%

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 86.2% in Bangladesh are expected to live past 60, 76.7% and 73.4% past 70, 54.2% and 49% past 80, and only 21% and 16.8% 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

Bangladesh

Male

Female

1x

Age	Probability of dying
	Argentina			Bangladesh
	Average	Male	Female	Average	Male	Female
100	30.3%	31.7%	30%	39.5%	46.5%	37.6%
99	28.6%	30%	28.2%	36.9%	43.4%	35%
98	26.7%	28.3%	26.2%	33.8%	39.5%	31.9%
97	24.9%	26.6%	24.4%	30.9%	36%	29%
96	23.1%	25%	22.6%	28.2%	32.7%	26.3%
95	21.4%	23.4%	20.7%	25.7%	29.8%	23.8%
94	19.8%	21.9%	19%	23.5%	27.1%	21.6%
93	18.3%	20.5%	17.5%	21.4%	24.7%	19.6%
92	17%	19%	16.2%	19.5%	22.5%	17.9%
91	15.7%	17.6%	15%	17.8%	20.5%	16.2%
90	14.4%	16.3%	13.6%	16.3%	18.7%	14.7%
89	13.2%	15.1%	12.3%	14.8%	17.1%	13.3%
88	12%	13.9%	11.1%	13.5%	15.6%	12.1%
87	10.9%	12.9%	9.97%	12.3%	14.3%	10.9%
86	10%	12%	8.98%	11.2%	13%	9.89%
85	9.16%	11.1%	8.1%	10.2%	11.9%	8.97%
84	8.39%	10.3%	7.3%	9.3%	10.8%	8.14%
83	7.66%	9.51%	6.56%	8.45%	9.74%	7.4%
82	6.96%	8.73%	5.87%	7.68%	8.82%	6.72%
81	6.29%	7.95%	5.23%	6.98%	8.01%	6.1%
80	5.66%	7.2%	4.64%	6.36%	7.29%	5.53%
79	5.08%	6.49%	4.11%	5.8%	6.68%	5.02%
78	4.56%	5.85%	3.65%	5.29%	6.12%	4.54%
77	4.11%	5.28%	3.26%	4.82%	5.61%	4.11%
76	3.72%	4.78%	2.92%	4.39%	5.14%	3.73%
75	3.38%	4.36%	2.64%	3.99%	4.69%	3.37%
74	3.1%	3.99%	2.4%	3.64%	4.27%	3.06%
73	2.85%	3.67%	2.19%	3.32%	3.87%	2.78%
72	2.63%	3.39%	2%	3.02%	3.49%	2.54%
71	2.43%	3.13%	1.83%	2.74%	3.15%	2.32%
70	2.24%	2.9%	1.68%	2.49%	2.82%	2.13%
69	2.07%	2.68%	1.54%	2.26%	2.53%	1.96%
68	1.91%	2.47%	1.42%	2.05%	2.28%	1.81%
67	1.76%	2.28%	1.3%	1.87%	2.07%	1.66%
66	1.62%	2.08%	1.2%	1.72%	1.9%	1.52%
65	1.49%	1.9%	1.11%	1.58%	1.78%	1.38%
64	1.37%	1.74%	1.03%	1.47%	1.69%	1.24%
63	1.25%	1.58%	0.95%	1.38%	1.63%	1.11%
62	1.15%	1.44%	0.87%	1.29%	1.57%	0.99%
61	1.05%	1.31%	0.8%	1.21%	1.51%	0.89%
60	0.96%	1.19%	0.73%	1.12%	1.43%	0.81%
59	0.87%	1.08%	0.67%	1.04%	1.33%	0.74%
58	0.79%	0.98%	0.61%	0.96%	1.23%	0.69%
57	0.72%	0.89%	0.55%	0.88%	1.12%	0.64%
56	0.65%	0.8%	0.5%	0.8%	1.01%	0.6%
55	0.59%	0.73%	0.46%	0.74%	0.91%	0.57%
54	0.54%	0.66%	0.42%	0.68%	0.83%	0.54%
53	0.49%	0.59%	0.38%	0.62%	0.75%	0.5%
52	0.44%	0.54%	0.35%	0.57%	0.68%	0.47%
51	0.41%	0.49%	0.32%	0.52%	0.61%	0.44%
50	0.37%	0.45%	0.3%	0.47%	0.55%	0.4%
49	0.34%	0.41%	0.28%	0.42%	0.48%	0.36%
48	0.31%	0.37%	0.25%	0.37%	0.43%	0.32%
47	0.28%	0.33%	0.23%	0.33%	0.37%	0.28%
46	0.26%	0.3%	0.21%	0.29%	0.33%	0.25%
45	0.23%	0.27%	0.19%	0.26%	0.29%	0.23%
44	0.21%	0.25%	0.18%	0.23%	0.26%	0.21%
43	0.2%	0.23%	0.16%	0.22%	0.23%	0.2%
42	0.18%	0.21%	0.15%	0.2%	0.21%	0.19%
41	0.17%	0.2%	0.14%	0.19%	0.19%	0.18%
40	0.16%	0.18%	0.13%	0.17%	0.18%	0.17%
39	0.15%	0.18%	0.12%	0.16%	0.16%	0.15%
38	0.14%	0.17%	0.11%	0.14%	0.15%	0.14%
37	0.13%	0.16%	0.11%	0.13%	0.14%	0.12%
36	0.12%	0.15%	0.1%	0.12%	0.13%	0.11%
35	0.12%	0.14%	0.09%	0.11%	0.13%	0.1%
34	0.11%	0.14%	0.08%	0.11%	0.12%	0.09%
33	0.11%	0.13%	0.08%	0.1%	0.12%	0.09%
32	0.1%	0.13%	0.07%	0.1%	0.12%	0.09%
31	0.1%	0.12%	0.07%	0.1%	0.12%	0.09%
30	0.09%	0.12%	0.06%	0.1%	0.11%	0.09%
29	0.09%	0.12%	0.06%	0.09%	0.11%	0.08%
28	0.09%	0.12%	0.06%	0.09%	0.1%	0.08%
27	0.09%	0.12%	0.06%	0.08%	0.09%	0.07%
26	0.09%	0.12%	0.05%	0.08%	0.08%	0.07%
25	0.09%	0.12%	0.05%	0.07%	0.08%	0.07%
24	0.09%	0.12%	0.05%	0.07%	0.08%	0.07%
23	0.09%	0.12%	0.05%	0.08%	0.08%	0.07%
22	0.09%	0.12%	0.05%	0.08%	0.08%	0.07%
21	0.09%	0.13%	0.05%	0.08%	0.09%	0.08%
20	0.09%	0.12%	0.05%	0.09%	0.09%	0.09%
19	0.08%	0.12%	0.05%	0.09%	0.1%	0.09%
18	0.07%	0.1%	0.04%	0.1%	0.1%	0.09%
17	0.06%	0.08%	0.04%	0.09%	0.09%	0.09%
16	0.05%	0.06%	0.04%	0.09%	0.09%	0.09%
15	0.04%	0.05%	0.03%	0.08%	0.08%	0.08%
14	0.03%	0.03%	0.03%	0.07%	0.07%	0.07%
13	0.02%	0.02%	0.02%	0.06%	0.05%	0.06%
12	0.02%	0.02%	0.02%	0.05%	0.04%	0.05%
11	0.02%	0.02%	0.02%	0.04%	0.04%	0.04%
10	0.01%	0.01%	0.01%	0.04%	0.03%	0.04%
9	0.01%	0.01%	0.01%	0.04%	0.04%	0.04%
8	0.01%	0.01%	0.01%	0.05%	0.04%	0.05%
7	0.01%	0.02%	0.01%	0.06%	0.05%	0.06%
6	0.02%	0.02%	0.02%	0.07%	0.07%	0.07%
5	0.02%	0.02%	0.02%	0.08%	0.07%	0.08%
4	0.02%	0.02%	0.02%	0.07%	0.07%	0.08%
3	0.03%	0.03%	0.03%	0.06%	0.06%	0.07%
2	0.03%	0.03%	0.04%	0.07%	0.07%	0.07%
1	0.04%	0.04%	0.05%	0.18%	0.18%	0.17%
0	0.85%	0.88%	0.83%	1.53%	1.61%	1.44%

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

The annual chance of dying is 0.85% in the birth year in Argentina and 1.53% in Bangladesh, 0.09% vs 0.1% at age 30, 0.96% vs 1.12% at 60, and 5.66% vs 6.36% at 80.

Death rate by age in Argentina vs Bangladesh

Chart Table

Argentina

Male

Female

Bangladesh

Male

Female

1x

Age	Death rate
	Argentina			Bangladesh
	Total	Male	Female	Total	Male	Female
100	520	252.3	745	243.5	52.4	450
99	784	455	1,070	504	274.2	753
98	998	599	1,350	698	414	1,006
97	1,238	767	1,658	924	588	1,288
96	1,497	959	1,982	1,175	796	1,587
95	1,759	1,172	2,297	1,440	1,030	1,887
94	2,028	1,408	2,604	1,718	1,287	2,186
93	2,300	1,654	2,907	1,995	1,557	2,471
92	2,573	1,898	3,211	2,264	1,828	2,735
91	2,825	2,133	3,482	2,514	2,095	2,969
90	3,023	2,357	3,661	2,738	2,353	3,155
89	3,178	2,564	3,776	2,932	2,596	3,297
88	3,294	2,752	3,833	3,093	2,815	3,394
87	3,373	2,926	3,829	3,217	3,003	3,447
86	3,425	3,083	3,789	3,301	3,148	3,465
85	3,453	3,220	3,720	3,347	3,247	3,451
84	3,451	3,329	3,616	3,355	3,299	3,412
83	3,414	3,399	3,478	3,331	3,310	3,348
82	3,336	3,417	3,307	3,279	3,289	3,261
81	3,218	3,382	3,106	3,205	3,246	3,153
80	3,068	3,299	2,889	3,114	3,189	3,027
79	2,902	3,182	2,670	3,015	3,128	2,889
78	2,731	3,045	2,461	2,903	3,054	2,742
77	2,565	2,902	2,269	2,781	2,966	2,589
76	2,411	2,761	2,097	2,649	2,862	2,434
75	2,270	2,629	1,945	2,510	2,740	2,281
74	2,145	2,508	1,810	2,374	2,605	2,137
73	2,030	2,396	1,688	2,238	2,458	1,998
72	1,922	2,289	1,575	2,099	2,301	1,868
71	1,819	2,185	1,469	1,961	2,138	1,748
70	1,720	2,082	1,369	1,826	1,974	1,638
69	1,623	1,979	1,277	1,697	1,817	1,540
68	1,528	1,872	1,191	1,574	1,674	1,445
67	1,434	1,762	1,111	1,463	1,551	1,351
66	1,342	1,649	1,037	1,364	1,452	1,255
65	1,251	1,535	968	1,278	1,382	1,154
64	1,164	1,424	904	1,206	1,339	1,052
63	1,080	1,317	842	1,143	1,310	953
62	999	1,216	782	1,085	1,285	861
61	922	1,121	723	1,028	1,253	781
60	850	1,032	667	968	1,203	714
59	781	948	613	906	1,138	659
58	716	869	562	841	1,059	615
57	654	794	515	778	975	577
56	597	723	470	718	892	545
55	544	658	430	664	814	516
54	497	598	394	615	743	490
53	454	545	362	570	679	464
52	416	497	334	526	618	437
51	382	454	308	482	560	406
50	351	415	285.3	437	503	371
49	323	379	263.7	391	448	334
48	295.6	346	243.3	347	396	296.7
47	270.1	315	223.7	307	349	263.5
46	246.2	285.9	205.1	272.6	308	235.8
45	224.3	259.7	187.8	244	272.8	214.7
44	204.9	236.5	172.1	221.8	243.8	200.3
43	188.1	216.9	158.3	204.5	219.6	190.2
42	174.1	200.8	146.5	190.1	199.2	181.9
41	162.5	187.7	136.2	177.1	181.7	173
40	152.7	177.1	127.2	164	166.5	161.7
39	144	168	118.9	149.7	153.1	146.8
38	136.1	160	111.1	135.6	141.5	130.4
37	128.5	152.6	103.3	123.1	132.1	115.1
36	121.2	145.5	95.8	112.9	124.8	102.4
35	114.4	139	88.6	105.6	119.7	93.2
34	108.1	133	82	101.3	116.7	87.9
33	102.6	128	76.1	99.2	115.2	85.6
32	98.2	124.1	71.1	98.3	114.1	85
31	94.7	121.2	66.9	97.4	112.5	84.9
30	92	119.3	63.5	95.3	109.1	84
29	89.8	117.9	60.4	90.9	103.1	81.1
28	88	117	57.6	85.2	95.6	76.8
27	86.4	116.3	55.1	79.3	88.1	72.3
26	85.1	116	52.7	74.5	81.9	68.5
25	84.2	116.3	50.6	71.7	78	66.4
24	83.9	117.2	49	71	76.7	66.2
23	84.5	119.4	47.9	73	78.2	68.4
22	85.6	122	47.4	76.9	81.7	72.4
21	86.6	123.9	47.2	81.9	86.3	77.8
20	85.9	122.9	46.9	87.2	90.9	83.5
19	82	116.1	45.9	91.1	93.9	88.3
18	73.8	102.2	43.6	92.8	94.5	91
17	62.3	83.4	40	91.4	92	90.8
16	49.6	63.1	35.2	86.6	86.2	87
15	38.2	45.8	30.1	78	77	79
14	29.1	32.7	25.1	66.5	65.4	67.8
13	22.6	24.1	21	54.3	53.3	55.5
12	18.2	18.8	17.7	44.1	43.2	45.1
11	15.5	15.7	15.3	37.7	36.8	38.7
10	14	14.1	13.8	34.4	33.5	35.3
9	13.4	13.8	13	36.2	35	37.5
8	13.6	14.2	13.1	44.9	42.8	47
7	14.6	15.3	13.8	56.8	53.6	60.1
6	16.4	17.2	15.5	67.8	63.8	72.1
5	19	19.7	18.3	74.1	69.7	78.7
4	22.7	22.9	22.5	71.7	67.9	75.7
3	27.6	26.9	28.4	61.4	58.9	63.9
2	34.2	31.8	36.6	70.1	68.9	71.4
1	42.6	37.8	47.7	172.9	175.4	170.2
0	851	876	826	1,530	1,613	1,443

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 84 in Bangladesh. The median age of death is 81.4 in Argentina and 79.7 in Bangladesh, 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 Bangladesh more than their death rates.

Life expectancy in other countries

+ -

1x