Life Expectancy in Argentina vs Bhutan (1950-2026)

Life expectancy by current age

Chart Table

Argentina

Male

Female

Bhutan

Male

Female

1x

Current age, years	Total life expectancy, years
	Argentina			Bhutan
	Average	Male	Female	Average	Male	Female
100	102.6	102.3	102.7	101.8	101.7	101.9
99	101.7	101.4	101.8	100.9	100.8	101
98	100.8	100.6	100.9	100	99.9	100.1
97	100	99.8	100.1	99.1	99	99.2
96	99.2	99	99.3	98.2	98.1	98.3
95	98.4	98.2	98.5	97.4	97.2	97.5
94	97.6	97.3	97.7	96.5	96.3	96.6
93	96.9	96.6	97	95.7	95.5	95.8
92	96.1	95.8	96.3	94.8	94.6	95
91	95.4	95	95.6	94	93.8	94.2
90	94.7	94.3	94.9	93.2	93	93.4
89	94	93.6	94.2	92.5	92.2	92.7
88	93.4	92.9	93.6	91.7	91.4	92
87	92.7	92.2	93	91	90.7	91.2
86	92.1	91.5	92.4	90.3	89.9	90.5
85	91.5	90.8	91.8	89.6	89.2	89.9
84	90.9	90.2	91.3	88.9	88.5	89.2
83	90.3	89.5	90.8	88.2	87.8	88.6
82	89.8	88.9	90.3	87.6	87.2	88
81	89.3	88.3	89.8	87	86.6	87.4
80	88.8	87.8	89.4	86.4	85.9	86.8
79	88.3	87.2	89	85.8	85.4	86.3
78	87.9	86.7	88.6	85.3	84.8	85.8
77	87.4	86.2	88.3	84.8	84.2	85.3
76	87	85.8	87.9	84.3	83.7	84.9
75	86.6	85.3	87.6	83.8	83.2	84.5
74	86.3	84.9	87.3	83.4	82.7	84.1
73	85.9	84.5	87	83	82.3	83.7
72	85.5	84.1	86.7	82.5	81.8	83.3
71	85.2	83.7	86.4	82.2	81.4	83
70	84.9	83.3	86.1	81.8	81	82.7
69	84.6	82.9	85.9	81.4	80.6	82.4
68	84.2	82.6	85.6	81.1	80.2	82.1
67	83.9	82.2	85.4	80.8	79.8	81.8
66	83.7	81.9	85.2	80.5	79.5	81.5
65	83.4	81.6	84.9	80.2	79.2	81.3
64	83.1	81.3	84.7	79.9	78.9	81.1
63	82.9	81	84.5	79.7	78.6	80.9
62	82.7	80.7	84.3	79.4	78.3	80.7
61	82.4	80.5	84.2	79.2	78	80.5
60	82.2	80.3	84	79	77.8	80.3
59	82	80	83.8	78.8	77.5	80.2
58	81.8	79.8	83.7	78.6	77.3	80
57	81.7	79.6	83.5	78.4	77.1	79.9
56	81.5	79.4	83.4	78.2	76.9	79.7
55	81.3	79.3	83.3	78	76.7	79.6
54	81.2	79.1	83.1	77.9	76.5	79.5
53	81.1	78.9	83	77.7	76.4	79.3
52	80.9	78.8	82.9	77.6	76.2	79.2
51	80.8	78.7	82.8	77.5	76.1	79.1
50	80.7	78.5	82.7	77.4	76	79
49	80.6	78.4	82.6	77.3	75.8	78.9
48	80.5	78.3	82.5	77.1	75.7	78.8
47	80.4	78.2	82.5	77	75.6	78.7
46	80.3	78.1	82.4	77	75.5	78.7
45	80.2	78	82.3	76.9	75.4	78.6
44	80.2	77.9	82.2	76.8	75.3	78.5
43	80.1	77.9	82.2	76.7	75.3	78.4
42	80	77.8	82.1	76.7	75.2	78.4
41	80	77.7	82.1	76.6	75.1	78.3
40	79.9	77.6	82	76.5	75.1	78.3
39	79.8	77.6	82	76.5	75	78.2
38	79.8	77.5	81.9	76.4	75	78.2
37	79.7	77.5	81.9	76.4	74.9	78.1
36	79.7	77.4	81.8	76.3	74.9	78.1
35	79.6	77.3	81.8	76.3	74.8	78
34	79.6	77.3	81.7	76.2	74.8	78
33	79.5	77.2	81.7	76.2	74.7	77.9
32	79.5	77.2	81.7	76.1	74.7	77.9
31	79.4	77.1	81.6	76.1	74.6	77.8
30	79.4	77	81.6	76	74.6	77.8
29	79.3	77	81.6	76	74.5	77.8
28	79.3	76.9	81.5	76	74.5	77.7
27	79.2	76.9	81.5	75.9	74.4	77.7
26	79.2	76.8	81.5	75.9	74.4	77.7
25	79.1	76.7	81.4	75.8	74.3	77.6
24	79.1	76.7	81.4	75.8	74.3	77.6
23	79.1	76.6	81.4	75.8	74.2	77.6
22	79	76.6	81.4	75.7	74.2	77.5
21	79	76.5	81.3	75.7	74.1	77.5
20	78.9	76.4	81.3	75.6	74.1	77.5
19	78.9	76.3	81.3	75.6	74	77.4
18	78.8	76.3	81.2	75.6	74	77.4
17	78.8	76.2	81.2	75.5	74	77.4
16	78.7	76.2	81.2	75.5	73.9	77.4
15	78.7	76.2	81.2	75.5	73.9	77.3
14	78.7	76.2	81.2	75.4	73.9	77.3
13	78.7	76.1	81.1	75.4	73.9	77.3
12	78.7	76.1	81.1	75.4	73.8	77.3
11	78.7	76.1	81.1	75.4	73.8	77.3
10	78.6	76.1	81.1	75.4	73.8	77.3
9	78.6	76.1	81.1	75.4	73.8	77.2
8	78.6	76.1	81.1	75.3	73.7	77.2
7	78.6	76.1	81.1	75.3	73.7	77.2
6	78.6	76.1	81.1	75.3	73.7	77.2
5	78.6	76	81.1	75.3	73.7	77.2
4	78.6	76	81	75.2	73.6	77.1
3	78.6	76	81	75.2	73.6	77.1
2	78.5	76	81	75.1	73.5	77
1	78.5	76	81	75	73.4	76.9
0	77.8	75.3	80.3	73.8	72.1	75.8

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 76 in Bhutan, rising to 83.4 and 80.2 at 65, and to 88.8 and 86.4 at 80 — higher than the 77.8 and 73.8 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Argentina

Male

Female

Bhutan

Male

Female

1x

Age	Survival probability
	Argentina			Bhutan
	Average	Male	Female	Average	Male	Female
100	1.96%	1.06%	2.73%	0.21%	0.1%	0.36%
99	2.74%	1.52%	3.8%	0.35%	0.18%	0.58%
98	3.74%	2.11%	5.15%	0.56%	0.3%	0.91%
97	4.98%	2.88%	6.8%	0.87%	0.49%	1.37%
96	6.48%	3.84%	8.79%	1.31%	0.77%	2.02%
95	8.24%	5.01%	11.1%	1.91%	1.17%	2.89%
94	10.3%	6.42%	13.7%	2.72%	1.73%	4.02%
93	12.6%	8.07%	16.6%	3.78%	2.48%	5.45%
92	15.1%	9.97%	19.8%	5.11%	3.46%	7.21%
91	18%	12.1%	23.3%	6.74%	4.71%	9.31%
90	21%	14.5%	26.9%	8.69%	6.25%	11.8%
89	24.2%	17%	30.7%	11%	8.1%	14.5%
88	27.5%	19.8%	34.6%	13.6%	10.3%	17.6%
87	30.8%	22.7%	38.4%	16.4%	12.7%	21%
86	34.3%	25.8%	42.2%	19.6%	15.5%	24.6%
85	37.7%	29%	45.9%	23%	18.5%	28.4%
84	41.2%	32.3%	49.5%	26.5%	21.7%	32.3%
83	44.6%	35.7%	53%	30.2%	25.1%	36.4%
82	47.9%	39.2%	56.3%	33.9%	28.5%	40.4%
81	51.1%	42.5%	59.4%	37.7%	32.1%	44.4%
80	54.2%	45.8%	62.3%	41.4%	35.7%	48.3%
79	57.1%	49%	65%	45%	39.2%	52%
78	59.8%	52.1%	67.4%	48.6%	42.7%	55.5%
77	62.4%	55%	69.7%	52%	46.2%	58.8%
76	64.8%	57.7%	71.8%	55.3%	49.6%	62%
75	67.1%	60.4%	73.7%	58.4%	52.8%	64.9%
74	69.2%	62.9%	75.5%	61.3%	55.9%	67.6%
73	71.3%	65.3%	77.2%	64.1%	58.9%	70.2%
72	73.2%	67.5%	78.8%	66.7%	61.8%	72.5%
71	75%	69.7%	80.3%	69.2%	64.5%	74.7%
70	76.7%	71.8%	81.6%	71.5%	67%	76.7%
69	78.3%	73.8%	82.9%	73.6%	69.4%	78.5%
68	79.9%	75.7%	84.1%	75.5%	71.6%	80.2%
67	81.3%	77.4%	85.2%	77.4%	73.7%	81.7%
66	82.6%	79.1%	86.3%	79%	75.6%	83%
65	83.9%	80.6%	87.2%	80.5%	77.4%	84.3%
64	85.1%	82%	88.1%	81.9%	79.1%	85.4%
63	86.1%	83.4%	89%	83.2%	80.6%	86.4%
62	87.1%	84.6%	89.8%	84.4%	82%	87.3%
61	88.1%	85.7%	90.5%	85.5%	83.3%	88.2%
60	88.9%	86.7%	91.1%	86.6%	84.6%	88.9%
59	89.7%	87.7%	91.8%	87.5%	85.7%	89.6%
58	90.4%	88.5%	92.3%	88.3%	86.7%	90.3%
57	91.1%	89.3%	92.8%	89.1%	87.7%	90.9%
56	91.7%	90.1%	93.3%	89.9%	88.5%	91.5%
55	92.2%	90.7%	93.7%	90.5%	89.3%	92%
54	92.7%	91.3%	94.1%	91.1%	90%	92.4%
53	93.1%	91.9%	94.5%	91.6%	90.6%	92.9%
52	93.6%	92.4%	94.8%	92.1%	91.2%	93.2%
51	93.9%	92.8%	95.1%	92.6%	91.7%	93.6%
50	94.3%	93.2%	95.4%	93%	92.2%	94%
49	94.6%	93.6%	95.7%	93.4%	92.6%	94.3%
48	94.9%	93.9%	95.9%	93.7%	93%	94.6%
47	95.2%	94.3%	96.2%	94%	93.3%	94.8%
46	95.4%	94.6%	96.4%	94.3%	93.7%	95.1%
45	95.7%	94.8%	96.5%	94.6%	93.9%	95.3%
44	95.9%	95%	96.7%	94.8%	94.2%	95.5%
43	96.1%	95.3%	96.9%	95%	94.4%	95.7%
42	96.2%	95.5%	97%	95.2%	94.6%	95.8%
41	96.4%	95.7%	97.2%	95.4%	94.8%	96%
40	96.5%	95.8%	97.3%	95.5%	95%	96.1%
39	96.7%	96%	97.4%	95.7%	95.1%	96.3%
38	96.8%	96.2%	97.5%	95.8%	95.3%	96.4%
37	96.9%	96.3%	97.6%	95.9%	95.4%	96.5%
36	97.1%	96.5%	97.7%	96.1%	95.5%	96.6%
35	97.2%	96.6%	97.8%	96.2%	95.7%	96.7%
34	97.3%	96.7%	97.9%	96.3%	95.8%	96.8%
33	97.4%	96.9%	98%	96.4%	95.9%	96.9%
32	97.5%	97%	98%	96.5%	96%	97%
31	97.6%	97.1%	98.1%	96.6%	96.1%	97.1%
30	97.7%	97.2%	98.2%	96.7%	96.2%	97.2%
29	97.8%	97.3%	98.2%	96.8%	96.3%	97.3%
28	97.9%	97.5%	98.3%	96.8%	96.4%	97.3%
27	97.9%	97.6%	98.3%	96.9%	96.5%	97.4%
26	98%	97.7%	98.4%	97%	96.6%	97.5%
25	98.1%	97.8%	98.4%	97.1%	96.7%	97.5%
24	98.2%	97.9%	98.5%	97.2%	96.8%	97.6%
23	98.3%	98%	98.5%	97.2%	96.8%	97.7%
22	98.4%	98.2%	98.6%	97.3%	96.9%	97.7%
21	98.5%	98.3%	98.6%	97.4%	97%	97.8%
20	98.5%	98.4%	98.7%	97.5%	97.1%	97.8%
19	98.6%	98.5%	98.7%	97.5%	97.2%	97.9%
18	98.7%	98.6%	98.8%	97.6%	97.3%	97.9%
17	98.8%	98.7%	98.8%	97.6%	97.4%	97.9%
16	98.8%	98.8%	98.8%	97.7%	97.4%	98%
15	98.8%	98.8%	98.9%	97.7%	97.5%	98%
14	98.9%	98.9%	98.9%	97.8%	97.5%	98%
13	98.9%	98.9%	98.9%	97.8%	97.5%	98.1%
12	98.9%	98.9%	98.9%	97.8%	97.6%	98.1%
11	98.9%	98.9%	99%	97.9%	97.6%	98.1%
10	98.9%	98.9%	99%	97.9%	97.6%	98.1%
9	99%	98.9%	99%	97.9%	97.7%	98.2%
8	99%	99%	99%	97.9%	97.7%	98.2%
7	99%	99%	99%	98%	97.7%	98.2%
6	99%	99%	99%	98%	97.8%	98.2%
5	99%	99%	99%	98.1%	97.8%	98.3%
4	99%	99%	99.1%	98.1%	97.9%	98.3%
3	99.1%	99.1%	99.1%	98.2%	98%	98.4%
2	99.1%	99.1%	99.1%	98.2%	98%	98.5%
1	99.1%	99.1%	99.2%	98.3%	98.1%	98.6%

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 86.6% in Bhutan are expected to live past 60, 76.7% and 71.5% past 70, 54.2% and 41.4% past 80, and only 21% and 8.69% 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

Bhutan

Male

Female

1x

Age	Probability of dying
	Argentina			Bhutan
	Average	Male	Female	Average	Male	Female
100	30.3%	31.7%	30%	41.5%	44.3%	40%
99	28.6%	30%	28.2%	39.6%	42.2%	38%
98	26.7%	28.3%	26.2%	37.6%	40.3%	36%
97	24.9%	26.6%	24.4%	35.6%	38.3%	34%
96	23.1%	25%	22.6%	33.7%	36.3%	32%
95	21.4%	23.4%	20.7%	31.7%	34.3%	30%
94	19.8%	21.9%	19%	29.8%	32.3%	28.1%
93	18.3%	20.5%	17.5%	27.9%	30.3%	26.3%
92	17%	19%	16.2%	26.1%	28.4%	24.4%
91	15.7%	17.6%	15%	24.2%	26.5%	22.6%
90	14.4%	16.3%	13.6%	22.5%	24.6%	20.8%
89	13.2%	15.1%	12.3%	20.7%	22.8%	19.1%
88	12%	13.9%	11.1%	19.1%	21.1%	17.5%
87	10.9%	12.9%	9.97%	17.6%	19.4%	16%
86	10%	12%	8.98%	16.1%	17.8%	14.7%
85	9.16%	11.1%	8.1%	14.7%	16.2%	13.4%
84	8.39%	10.3%	7.3%	13.4%	14.8%	12.2%
83	7.66%	9.51%	6.56%	12.2%	13.4%	11.1%
82	6.96%	8.73%	5.87%	11%	12.2%	9.98%
81	6.29%	7.95%	5.23%	9.96%	11.1%	8.96%
80	5.66%	7.2%	4.64%	8.98%	10%	8.02%
79	5.08%	6.49%	4.11%	8.09%	9.09%	7.15%
78	4.56%	5.85%	3.65%	7.28%	8.24%	6.37%
77	4.11%	5.28%	3.26%	6.56%	7.47%	5.67%
76	3.72%	4.78%	2.92%	5.91%	6.78%	5.06%
75	3.38%	4.36%	2.64%	5.33%	6.15%	4.52%
74	3.1%	3.99%	2.4%	4.82%	5.59%	4.05%
73	2.85%	3.67%	2.19%	4.35%	5.07%	3.63%
72	2.63%	3.39%	2%	3.92%	4.61%	3.25%
71	2.43%	3.13%	1.83%	3.54%	4.18%	2.91%
70	2.24%	2.9%	1.68%	3.19%	3.79%	2.6%
69	2.07%	2.68%	1.54%	2.88%	3.44%	2.32%
68	1.91%	2.47%	1.42%	2.6%	3.11%	2.07%
67	1.76%	2.28%	1.3%	2.34%	2.82%	1.84%
66	1.62%	2.08%	1.2%	2.11%	2.55%	1.64%
65	1.49%	1.9%	1.11%	1.9%	2.31%	1.46%
64	1.37%	1.74%	1.03%	1.71%	2.09%	1.31%
63	1.25%	1.58%	0.95%	1.55%	1.9%	1.17%
62	1.15%	1.44%	0.87%	1.41%	1.73%	1.06%
61	1.05%	1.31%	0.8%	1.29%	1.58%	0.96%
60	0.96%	1.19%	0.73%	1.17%	1.44%	0.87%
59	0.87%	1.08%	0.67%	1.07%	1.31%	0.79%
58	0.79%	0.98%	0.61%	0.97%	1.19%	0.72%
57	0.72%	0.89%	0.55%	0.88%	1.08%	0.66%
56	0.65%	0.8%	0.5%	0.8%	0.97%	0.6%
55	0.59%	0.73%	0.46%	0.72%	0.87%	0.55%
54	0.54%	0.66%	0.42%	0.65%	0.78%	0.5%
53	0.49%	0.59%	0.38%	0.59%	0.7%	0.46%
52	0.44%	0.54%	0.35%	0.54%	0.63%	0.42%
51	0.41%	0.49%	0.32%	0.49%	0.56%	0.39%
50	0.37%	0.45%	0.3%	0.44%	0.51%	0.36%
49	0.34%	0.41%	0.28%	0.4%	0.46%	0.33%
48	0.31%	0.37%	0.25%	0.37%	0.42%	0.3%
47	0.28%	0.33%	0.23%	0.33%	0.38%	0.28%
46	0.26%	0.3%	0.21%	0.3%	0.34%	0.25%
45	0.23%	0.27%	0.19%	0.27%	0.3%	0.23%
44	0.21%	0.25%	0.18%	0.24%	0.27%	0.21%
43	0.2%	0.23%	0.16%	0.22%	0.24%	0.19%
42	0.18%	0.21%	0.15%	0.2%	0.22%	0.18%
41	0.17%	0.2%	0.14%	0.18%	0.2%	0.16%
40	0.16%	0.18%	0.13%	0.17%	0.18%	0.15%
39	0.15%	0.18%	0.12%	0.15%	0.16%	0.14%
38	0.14%	0.17%	0.11%	0.14%	0.15%	0.13%
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%	0.12%	0.13%	0.11%
34	0.11%	0.14%	0.08%	0.11%	0.12%	0.1%
33	0.11%	0.13%	0.08%	0.11%	0.11%	0.1%
32	0.1%	0.13%	0.07%	0.1%	0.11%	0.09%
31	0.1%	0.12%	0.07%	0.1%	0.1%	0.09%
30	0.09%	0.12%	0.06%	0.09%	0.1%	0.08%
29	0.09%	0.12%	0.06%	0.09%	0.1%	0.08%
28	0.09%	0.12%	0.06%	0.09%	0.1%	0.08%
27	0.09%	0.12%	0.06%	0.08%	0.1%	0.07%
26	0.09%	0.12%	0.05%	0.08%	0.1%	0.07%
25	0.09%	0.12%	0.05%	0.08%	0.1%	0.07%
24	0.09%	0.12%	0.05%	0.08%	0.1%	0.06%
23	0.09%	0.12%	0.05%	0.08%	0.1%	0.06%
22	0.09%	0.12%	0.05%	0.08%	0.1%	0.06%
21	0.09%	0.13%	0.05%	0.08%	0.1%	0.06%
20	0.09%	0.12%	0.05%	0.07%	0.09%	0.05%
19	0.08%	0.12%	0.05%	0.07%	0.09%	0.05%
18	0.07%	0.1%	0.04%	0.06%	0.08%	0.05%
17	0.06%	0.08%	0.04%	0.06%	0.07%	0.04%
16	0.05%	0.06%	0.04%	0.05%	0.06%	0.04%
15	0.04%	0.05%	0.03%	0.04%	0.05%	0.03%
14	0.03%	0.03%	0.03%	0.04%	0.04%	0.03%
13	0.02%	0.02%	0.02%	0.03%	0.04%	0.03%
12	0.02%	0.02%	0.02%	0.03%	0.03%	0.02%
11	0.02%	0.02%	0.02%	0.03%	0.03%	0.02%
10	0.01%	0.01%	0.01%	0.03%	0.03%	0.02%
9	0.01%	0.01%	0.01%	0.03%	0.03%	0.02%
8	0.01%	0.01%	0.01%	0.03%	0.04%	0.02%
7	0.01%	0.02%	0.01%	0.03%	0.04%	0.03%
6	0.02%	0.02%	0.02%	0.04%	0.04%	0.03%
5	0.02%	0.02%	0.02%	0.05%	0.05%	0.04%
4	0.02%	0.02%	0.02%	0.05%	0.06%	0.05%
3	0.03%	0.03%	0.03%	0.07%	0.07%	0.06%
2	0.03%	0.03%	0.04%	0.08%	0.08%	0.08%
1	0.04%	0.04%	0.05%	0.1%	0.1%	0.1%
0	0.85%	0.88%	0.83%	1.66%	1.86%	1.44%

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

The annual chance of dying is 0.85% in the birth year in Argentina and 1.66% in Bhutan, 0.09% vs 0.09% at age 30, 0.96% vs 1.17% at 60, and 5.66% vs 8.98% at 80.

Death rate by age in Argentina vs Bhutan

Chart Table

Argentina

Male

Female

Bhutan

Male

Female

1x

Age	Death rate
	Argentina			Bhutan
	Total	Male	Female	Total	Male	Female
100	520	252.3	745	0	0	21.2
99	784	455	1,070	137.5	76.2	220.6
98	998	599	1,350	209.6	121.7	326
97	1,238	767	1,658	309	187.5	467
96	1,497	959	1,982	439	278.9	647
95	1,759	1,172	2,297	606	401	868
94	2,028	1,408	2,604	811	558	1,131
93	2,300	1,654	2,907	1,054	753	1,431
92	2,573	1,898	3,211	1,331	984	1,759
91	2,825	2,133	3,482	1,633	1,249	2,102
90	3,023	2,357	3,661	1,952	1,541	2,447
89	3,178	2,564	3,776	2,275	1,849	2,779
88	3,294	2,752	3,833	2,591	2,162	3,089
87	3,373	2,926	3,829	2,886	2,466	3,368
86	3,425	3,083	3,789	3,150	2,749	3,608
85	3,453	3,220	3,720	3,375	2,998	3,803
84	3,451	3,329	3,616	3,551	3,206	3,943
83	3,414	3,399	3,478	3,674	3,367	4,022
82	3,336	3,417	3,307	3,741	3,482	4,033
81	3,218	3,382	3,106	3,754	3,550	3,979
80	3,068	3,299	2,889	3,718	3,576	3,867
79	2,902	3,182	2,670	3,643	3,564	3,714
78	2,731	3,045	2,461	3,536	3,521	3,533
77	2,565	2,902	2,269	3,409	3,451	3,336
76	2,411	2,761	2,097	3,267	3,358	3,135
75	2,270	2,629	1,945	3,113	3,248	2,935
74	2,145	2,508	1,810	2,953	3,125	2,738
73	2,030	2,396	1,688	2,787	2,990	2,545
72	1,922	2,289	1,575	2,618	2,846	2,356
71	1,819	2,185	1,469	2,449	2,696	2,171
70	1,720	2,082	1,369	2,281	2,541	1,992
69	1,623	1,979	1,277	2,119	2,386	1,820
68	1,528	1,872	1,191	1,961	2,230	1,657
67	1,434	1,762	1,111	1,809	2,077	1,503
66	1,342	1,649	1,037	1,664	1,929	1,361
65	1,251	1,535	968	1,528	1,788	1,231
64	1,164	1,424	904	1,404	1,656	1,115
63	1,080	1,317	842	1,293	1,534	1,012
62	999	1,216	782	1,193	1,421	922
61	922	1,121	723	1,101	1,317	842
60	850	1,032	667	1,015	1,218	772
59	781	948	613	935	1,124	709
58	716	869	562	859	1,033	652
57	654	794	515	787	943	600
56	597	723	470	719	857	551
55	544	658	430	655	775	506
54	497	598	394	595	699	466
53	454	545	362	542	631	429
52	416	497	334	494	571	396
51	382	454	308	451	518	366
50	351	415	285.3	412	471	339
49	323	379	263.7	377	428	313
48	295.6	346	243.3	343	388	288.2
47	270.1	315	223.7	312	350	264.6
46	246.2	285.9	205.1	282.8	315	242
45	224.3	259.7	187.8	255.5	283.2	220.8
44	204.9	236.5	172.1	230.7	254	201.4
43	188.1	216.9	158.3	208.8	228.2	184.2
42	174.1	200.8	146.5	189.6	205.7	169.1
41	162.5	187.7	136.2	173.2	186.5	156.2
40	152.7	177.1	127.2	159.2	170.2	145
39	144	168	118.9	147.1	156.5	135.1
38	136.1	160	111.1	136.8	144.9	126.3
37	128.5	152.6	103.3	127.7	135.2	118.3
36	121.2	145.5	95.8	119.9	126.9	110.9
35	114.4	139	88.6	113.1	119.9	104.2
34	108.1	133	82	107	113.8	98.1
33	102.6	128	76.1	101.7	108.5	92.7
32	98.2	124.1	71.1	97	103.9	88
31	94.7	121.2	66.9	93	100	83.9
30	92	119.3	63.5	89.5	96.8	80.2
29	89.8	117.9	60.4	86.6	94.4	76.9
28	88	117	57.6	84.2	92.9	73.9
27	86.4	116.3	55.1	82.4	92.3	70.9
26	85.1	116	52.7	81	92.6	68.1
25	84.2	116.3	50.6	80.1	93.6	65.3
24	83.9	117.2	49	79.3	94.7	62.5
23	84.5	119.4	47.9	78.5	95.7	59.9
22	85.6	122	47.4	77.4	95.9	57.3
21	86.6	123.9	47.2	75.5	94.7	54.6
20	85.9	122.9	46.9	72.4	91.5	51.6
19	82	116.1	45.9	67.8	85.7	48.2
18	73.8	102.2	43.6	61.8	77.7	44.2
17	62.3	83.4	40	54.7	68	39.9
16	49.6	63.1	35.2	47.4	58.1	35.5
15	38.2	45.8	30.1	40.6	49	31.3
14	29.1	32.7	25.1	34.9	41.5	27.7
13	22.6	24.1	21	30.7	36	24.8
12	18.2	18.8	17.7	27.9	32.5	22.8
11	15.5	15.7	15.3	26.4	30.8	21.6
10	14	14.1	13.8	26.2	30.6	21.3
9	13.4	13.8	13	27.2	31.9	22
8	13.6	14.2	13.1	29.2	34.5	23.7
7	14.6	15.3	13.8	32.7	38.4	26.7
6	16.4	17.2	15.5	37.6	43.7	31.2
5	19	19.7	18.3	44.3	50.3	37.9
4	22.7	22.9	22.5	53	58.5	47.2
3	27.6	26.9	28.4	64.3	68.3	60
2	34.2	31.8	36.6	78.6	80.1	77.1
1	42.6	37.8	47.7	96.8	94	99.8
0	851	876	826	1,655	1,861	1,440

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 81 in Bhutan. The median age of death is 81.4 in Argentina and 77.6 in Bhutan, 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 Bhutan more than their death rates.

Life expectancy in other countries

+ -

1x