Life Expectancy in Argentina vs Pakistan (1950-2026)

Life expectancy by current age

Chart Table

Argentina

Male

Female

Pakistan

Male

Female

1x

Current age, years	Total life expectancy, years
	Argentina			Pakistan
	Average	Male	Female	Average	Male	Female
100	102.6	102.3	102.7	101.7	101.6	101.7
99	101.7	101.4	101.8	100.7	100.6	100.8
98	100.8	100.6	100.9	99.8	99.7	99.8
97	100	99.8	100.1	98.9	98.8	98.9
96	99.2	99	99.3	98	97.9	98
95	98.4	98.2	98.5	97.1	97	97.2
94	97.6	97.3	97.7	96.2	96.1	96.3
93	96.9	96.6	97	95.4	95.2	95.5
92	96.1	95.8	96.3	94.6	94.3	94.7
91	95.4	95	95.6	93.7	93.5	93.9
90	94.7	94.3	94.9	92.9	92.7	93.1
89	94	93.6	94.2	92.1	91.9	92.3
88	93.4	92.9	93.6	91.4	91.1	91.6
87	92.7	92.2	93	90.6	90.3	90.8
86	92.1	91.5	92.4	89.9	89.6	90.1
85	91.5	90.8	91.8	89.1	88.9	89.4
84	90.9	90.2	91.3	88.4	88.1	88.7
83	90.3	89.5	90.8	87.7	87.4	88
82	89.8	88.9	90.3	87.1	86.8	87.3
81	89.3	88.3	89.8	86.4	86.1	86.7
80	88.8	87.8	89.4	85.8	85.4	86.1
79	88.3	87.2	89	85.2	84.8	85.5
78	87.9	86.7	88.6	84.6	84.2	85
77	87.4	86.2	88.3	84.1	83.6	84.5
76	87	85.8	87.9	83.5	83	84
75	86.6	85.3	87.6	83	82.5	83.5
74	86.3	84.9	87.3	82.5	81.9	83
73	85.9	84.5	87	82	81.4	82.6
72	85.5	84.1	86.7	81.6	80.9	82.2
71	85.2	83.7	86.4	81.1	80.4	81.8
70	84.9	83.3	86.1	80.7	80	81.4
69	84.6	82.9	85.9	80.3	79.5	81.1
68	84.2	82.6	85.6	79.9	79.1	80.7
67	83.9	82.2	85.4	79.6	78.7	80.4
66	83.7	81.9	85.2	79.2	78.3	80.1
65	83.4	81.6	84.9	78.9	77.9	79.8
64	83.1	81.3	84.7	78.6	77.5	79.6
63	82.9	81	84.5	78.3	77.2	79.3
62	82.7	80.7	84.3	78	76.8	79.1
61	82.4	80.5	84.2	77.7	76.5	78.8
60	82.2	80.3	84	77.4	76.2	78.6
59	82	80	83.8	77.2	75.9	78.4
58	81.8	79.8	83.7	76.9	75.6	78.2
57	81.7	79.6	83.5	76.7	75.4	78
56	81.5	79.4	83.4	76.5	75.1	77.9
55	81.3	79.3	83.3	76.3	74.9	77.7
54	81.2	79.1	83.1	76.1	74.6	77.5
53	81.1	78.9	83	75.9	74.4	77.4
52	80.9	78.8	82.9	75.7	74.2	77.2
51	80.8	78.7	82.8	75.5	74	77.1
50	80.7	78.5	82.7	75.4	73.8	77
49	80.6	78.4	82.6	75.2	73.7	76.8
48	80.5	78.3	82.5	75.1	73.5	76.7
47	80.4	78.2	82.5	75	73.3	76.6
46	80.3	78.1	82.4	74.8	73.2	76.5
45	80.2	78	82.3	74.7	73.1	76.4
44	80.2	77.9	82.2	74.6	72.9	76.3
43	80.1	77.9	82.2	74.5	72.8	76.2
42	80	77.8	82.1	74.4	72.7	76.1
41	80	77.7	82.1	74.3	72.6	76.1
40	79.9	77.6	82	74.2	72.5	76
39	79.8	77.6	82	74.1	72.4	75.9
38	79.8	77.5	81.9	74	72.3	75.8
37	79.7	77.5	81.9	73.9	72.2	75.8
36	79.7	77.4	81.8	73.9	72.1	75.7
35	79.6	77.3	81.8	73.8	72	75.6
34	79.6	77.3	81.7	73.7	71.9	75.6
33	79.5	77.2	81.7	73.6	71.8	75.5
32	79.5	77.2	81.7	73.6	71.8	75.4
31	79.4	77.1	81.6	73.5	71.7	75.4
30	79.4	77	81.6	73.4	71.6	75.3
29	79.3	77	81.6	73.3	71.5	75.3
28	79.3	76.9	81.5	73.3	71.4	75.2
27	79.2	76.9	81.5	73.2	71.3	75.2
26	79.2	76.8	81.5	73.1	71.3	75.1
25	79.1	76.7	81.4	73.1	71.2	75.1
24	79.1	76.7	81.4	73	71.1	75
23	79.1	76.6	81.4	72.9	71	75
22	79	76.6	81.4	72.9	70.9	74.9
21	79	76.5	81.3	72.8	70.8	74.9
20	78.9	76.4	81.3	72.7	70.7	74.8
19	78.9	76.3	81.3	72.7	70.6	74.8
18	78.8	76.3	81.2	72.6	70.6	74.8
17	78.8	76.2	81.2	72.5	70.5	74.7
16	78.7	76.2	81.2	72.5	70.4	74.7
15	78.7	76.2	81.2	72.5	70.4	74.7
14	78.7	76.2	81.2	72.4	70.3	74.6
13	78.7	76.1	81.1	72.4	70.3	74.6
12	78.7	76.1	81.1	72.3	70.3	74.6
11	78.7	76.1	81.1	72.3	70.2	74.5
10	78.6	76.1	81.1	72.3	70.2	74.5
9	78.6	76.1	81.1	72.3	70.1	74.5
8	78.6	76.1	81.1	72.2	70.1	74.5
7	78.6	76.1	81.1	72.2	70	74.5
6	78.6	76.1	81.1	72.1	70	74.4
5	78.6	76	81.1	72.1	69.9	74.4
4	78.6	76	81	72	69.8	74.3
3	78.6	76	81	71.8	69.6	74.2
2	78.5	76	81	71.7	69.5	74
1	78.5	76	81	71.4	69.2	73.7
0	77.8	75.3	80.3	68.1	65.7	70.6

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 73.4 in Pakistan, rising to 83.4 and 78.9 at 65, and to 88.8 and 85.8 at 80 — higher than the 77.8 and 68.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Argentina

Male

Female

Pakistan

Male

Female

1x

Age	Survival probability
	Argentina			Pakistan
	Average	Male	Female	Average	Male	Female
100	1.96%	1.06%	2.73%	0.08%	0.04%	0.13%
99	2.74%	1.52%	3.8%	0.13%	0.07%	0.22%
98	3.74%	2.11%	5.15%	0.23%	0.12%	0.37%
97	4.98%	2.88%	6.8%	0.38%	0.2%	0.61%
96	6.48%	3.84%	8.79%	0.62%	0.33%	0.96%
95	8.24%	5.01%	11.1%	0.95%	0.54%	1.46%
94	10.3%	6.42%	13.7%	1.43%	0.84%	2.14%
93	12.6%	8.07%	16.6%	2.07%	1.27%	3.03%
92	15.1%	9.97%	19.8%	2.92%	1.86%	4.16%
91	18%	12.1%	23.3%	3.99%	2.65%	5.55%
90	21%	14.5%	26.9%	5.31%	3.65%	7.22%
89	24.2%	17%	30.7%	6.9%	4.88%	9.2%
88	27.5%	19.8%	34.6%	8.76%	6.34%	11.5%
87	30.8%	22.7%	38.4%	10.9%	8.05%	14.1%
86	34.3%	25.8%	42.2%	13.3%	9.99%	17%
85	37.7%	29%	45.9%	15.9%	12.2%	20.1%
84	41.2%	32.3%	49.5%	18.8%	14.6%	23.5%
83	44.6%	35.7%	53%	21.9%	17.1%	27%
82	47.9%	39.2%	56.3%	25.1%	19.9%	30.7%
81	51.1%	42.5%	59.4%	28.3%	22.8%	34.3%
80	54.2%	45.8%	62.3%	31.7%	25.8%	38%
79	57.1%	49%	65%	35%	28.9%	41.6%
78	59.8%	52.1%	67.4%	38.3%	32%	45.1%
77	62.4%	55%	69.7%	41.6%	35.1%	48.5%
76	64.8%	57.7%	71.8%	44.8%	38.2%	51.7%
75	67.1%	60.4%	73.7%	47.8%	41.3%	54.8%
74	69.2%	62.9%	75.5%	50.8%	44.3%	57.8%
73	71.3%	65.3%	77.2%	53.6%	47.2%	60.6%
72	73.2%	67.5%	78.8%	56.4%	50%	63.2%
71	75%	69.7%	80.3%	58.9%	52.7%	65.6%
70	76.7%	71.8%	81.6%	61.4%	55.3%	67.8%
69	78.3%	73.8%	82.9%	63.7%	57.8%	69.9%
68	79.9%	75.7%	84.1%	65.8%	60.1%	71.8%
67	81.3%	77.4%	85.2%	67.8%	62.4%	73.6%
66	82.6%	79.1%	86.3%	69.7%	64.5%	75.2%
65	83.9%	80.6%	87.2%	71.4%	66.4%	76.7%
64	85.1%	82%	88.1%	73%	68.3%	78.1%
63	86.1%	83.4%	89%	74.6%	70.1%	79.3%
62	87.1%	84.6%	89.8%	76%	71.7%	80.4%
61	88.1%	85.7%	90.5%	77.3%	73.3%	81.5%
60	88.9%	86.7%	91.1%	78.5%	74.7%	82.5%
59	89.7%	87.7%	91.8%	79.6%	76%	83.4%
58	90.4%	88.5%	92.3%	80.6%	77.3%	84.2%
57	91.1%	89.3%	92.8%	81.6%	78.5%	84.9%
56	91.7%	90.1%	93.3%	82.5%	79.5%	85.6%
55	92.2%	90.7%	93.7%	83.3%	80.5%	86.3%
54	92.7%	91.3%	94.1%	84.1%	81.4%	86.9%
53	93.1%	91.9%	94.5%	84.8%	82.3%	87.4%
52	93.6%	92.4%	94.8%	85.4%	83%	87.9%
51	93.9%	92.8%	95.1%	86%	83.8%	88.4%
50	94.3%	93.2%	95.4%	86.6%	84.4%	88.9%
49	94.6%	93.6%	95.7%	87.1%	85%	89.3%
48	94.9%	93.9%	95.9%	87.5%	85.6%	89.6%
47	95.2%	94.3%	96.2%	88%	86.1%	90%
46	95.4%	94.6%	96.4%	88.4%	86.6%	90.3%
45	95.7%	94.8%	96.5%	88.7%	87%	90.6%
44	95.9%	95%	96.7%	89.1%	87.4%	90.9%
43	96.1%	95.3%	96.9%	89.4%	87.8%	91.1%
42	96.2%	95.5%	97%	89.7%	88.1%	91.4%
41	96.4%	95.7%	97.2%	89.9%	88.4%	91.6%
40	96.5%	95.8%	97.3%	90.2%	88.7%	91.8%
39	96.7%	96%	97.4%	90.4%	89%	92%
38	96.8%	96.2%	97.5%	90.6%	89.2%	92.1%
37	96.9%	96.3%	97.6%	90.8%	89.5%	92.3%
36	97.1%	96.5%	97.7%	91%	89.7%	92.5%
35	97.2%	96.6%	97.8%	91.2%	89.9%	92.6%
34	97.3%	96.7%	97.9%	91.4%	90.1%	92.7%
33	97.4%	96.9%	98%	91.6%	90.3%	92.9%
32	97.5%	97%	98%	91.7%	90.5%	93%
31	97.6%	97.1%	98.1%	91.9%	90.7%	93.1%
30	97.7%	97.2%	98.2%	92%	90.9%	93.2%
29	97.8%	97.3%	98.2%	92.2%	91%	93.4%
28	97.9%	97.5%	98.3%	92.3%	91.2%	93.5%
27	97.9%	97.6%	98.3%	92.4%	91.4%	93.6%
26	98%	97.7%	98.4%	92.6%	91.5%	93.7%
25	98.1%	97.8%	98.4%	92.7%	91.7%	93.8%
24	98.2%	97.9%	98.5%	92.8%	91.9%	93.9%
23	98.3%	98%	98.5%	93%	92.1%	93.9%
22	98.4%	98.2%	98.6%	93.1%	92.2%	94%
21	98.5%	98.3%	98.6%	93.2%	92.4%	94.1%
20	98.5%	98.4%	98.7%	93.4%	92.6%	94.2%
19	98.6%	98.5%	98.7%	93.5%	92.7%	94.3%
18	98.7%	98.6%	98.8%	93.6%	92.9%	94.3%
17	98.8%	98.7%	98.8%	93.7%	93%	94.4%
16	98.8%	98.8%	98.8%	93.7%	93.1%	94.4%
15	98.8%	98.8%	98.9%	93.8%	93.2%	94.5%
14	98.9%	98.9%	98.9%	93.9%	93.3%	94.5%
13	98.9%	98.9%	98.9%	93.9%	93.3%	94.6%
12	98.9%	98.9%	98.9%	94%	93.4%	94.6%
11	98.9%	98.9%	99%	94%	93.5%	94.6%
10	98.9%	98.9%	99%	94.1%	93.5%	94.7%
9	99%	98.9%	99%	94.1%	93.6%	94.7%
8	99%	99%	99%	94.2%	93.6%	94.7%
7	99%	99%	99%	94.2%	93.7%	94.8%
6	99%	99%	99%	94.3%	93.8%	94.8%
5	99%	99%	99%	94.4%	93.9%	94.9%
4	99%	99%	99.1%	94.5%	94.1%	95%
3	99.1%	99.1%	99.1%	94.7%	94.3%	95.2%
2	99.1%	99.1%	99.1%	95%	94.6%	95.4%
1	99.1%	99.1%	99.2%	95.3%	94.9%	95.8%

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 78.5% in Pakistan are expected to live past 60, 76.7% and 61.4% past 70, 54.2% and 31.7% past 80, and only 21% and 5.31% 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

Pakistan

Male

Female

1x

Age	Probability of dying
	Argentina			Pakistan
	Average	Male	Female	Average	Male	Female
100	30.3%	31.7%	30%	46%	47.6%	45.4%
99	28.6%	30%	28.2%	43.8%	45.7%	43%
98	26.7%	28.3%	26.2%	41.9%	43.7%	41%
97	24.9%	26.6%	24.4%	39.8%	41.7%	38.9%
96	23.1%	25%	22.6%	37.7%	39.8%	36.6%
95	21.4%	23.4%	20.7%	35.5%	37.9%	34.2%
94	19.8%	21.9%	19%	33.2%	35.9%	31.7%
93	18.3%	20.5%	17.5%	31%	33.9%	29.4%
92	17%	19%	16.2%	28.9%	31.8%	27.1%
91	15.7%	17.6%	15%	26.9%	29.6%	25.1%
90	14.4%	16.3%	13.6%	24.9%	27.4%	23.2%
89	13.2%	15.1%	12.3%	23%	25.2%	21.5%
88	12%	13.9%	11.1%	21.3%	23.1%	19.9%
87	10.9%	12.9%	9.97%	19.6%	21.2%	18.4%
86	10%	12%	8.98%	18.1%	19.4%	17%
85	9.16%	11.1%	8.1%	16.6%	17.9%	15.7%
84	8.39%	10.3%	7.3%	15.3%	16.4%	14.3%
83	7.66%	9.51%	6.56%	14%	15.1%	13.1%
82	6.96%	8.73%	5.87%	12.8%	13.9%	11.9%
81	6.29%	7.95%	5.23%	11.6%	12.7%	10.7%
80	5.66%	7.2%	4.64%	10.5%	11.7%	9.64%
79	5.08%	6.49%	4.11%	9.54%	10.7%	8.66%
78	4.56%	5.85%	3.65%	8.64%	9.71%	7.77%
77	4.11%	5.28%	3.26%	7.82%	8.86%	6.98%
76	3.72%	4.78%	2.92%	7.08%	8.08%	6.28%
75	3.38%	4.36%	2.64%	6.43%	7.38%	5.65%
74	3.1%	3.99%	2.4%	5.84%	6.74%	5.09%
73	2.85%	3.67%	2.19%	5.3%	6.16%	4.58%
72	2.63%	3.39%	2%	4.82%	5.63%	4.12%
71	2.43%	3.13%	1.83%	4.37%	5.14%	3.7%
70	2.24%	2.9%	1.68%	3.97%	4.7%	3.32%
69	2.07%	2.68%	1.54%	3.6%	4.29%	2.98%
68	1.91%	2.47%	1.42%	3.26%	3.91%	2.67%
67	1.76%	2.28%	1.3%	2.96%	3.57%	2.4%
66	1.62%	2.08%	1.2%	2.68%	3.27%	2.15%
65	1.49%	1.9%	1.11%	2.44%	2.99%	1.93%
64	1.37%	1.74%	1.03%	2.22%	2.74%	1.74%
63	1.25%	1.58%	0.95%	2.02%	2.51%	1.57%
62	1.15%	1.44%	0.87%	1.85%	2.3%	1.42%
61	1.05%	1.31%	0.8%	1.69%	2.11%	1.29%
60	0.96%	1.19%	0.73%	1.54%	1.93%	1.17%
59	0.87%	1.08%	0.67%	1.41%	1.77%	1.07%
58	0.79%	0.98%	0.61%	1.29%	1.62%	0.97%
57	0.72%	0.89%	0.55%	1.18%	1.48%	0.89%
56	0.65%	0.8%	0.5%	1.08%	1.35%	0.82%
55	0.59%	0.73%	0.46%	0.99%	1.23%	0.75%
54	0.54%	0.66%	0.42%	0.9%	1.12%	0.69%
53	0.49%	0.59%	0.38%	0.83%	1.02%	0.63%
52	0.44%	0.54%	0.35%	0.76%	0.93%	0.58%
51	0.41%	0.49%	0.32%	0.69%	0.85%	0.54%
50	0.37%	0.45%	0.3%	0.64%	0.78%	0.5%
49	0.34%	0.41%	0.28%	0.59%	0.71%	0.46%
48	0.31%	0.37%	0.25%	0.54%	0.65%	0.42%
47	0.28%	0.33%	0.23%	0.49%	0.6%	0.39%
46	0.26%	0.3%	0.21%	0.45%	0.54%	0.35%
45	0.23%	0.27%	0.19%	0.41%	0.5%	0.33%
44	0.21%	0.25%	0.18%	0.38%	0.46%	0.3%
43	0.2%	0.23%	0.16%	0.35%	0.42%	0.27%
42	0.18%	0.21%	0.15%	0.32%	0.38%	0.25%
41	0.17%	0.2%	0.14%	0.3%	0.35%	0.24%
40	0.16%	0.18%	0.13%	0.27%	0.33%	0.22%
39	0.15%	0.18%	0.12%	0.26%	0.31%	0.2%
38	0.14%	0.17%	0.11%	0.24%	0.29%	0.19%
37	0.13%	0.16%	0.11%	0.23%	0.27%	0.18%
36	0.12%	0.15%	0.1%	0.21%	0.25%	0.17%
35	0.12%	0.14%	0.09%	0.2%	0.24%	0.16%
34	0.11%	0.14%	0.08%	0.19%	0.23%	0.15%
33	0.11%	0.13%	0.08%	0.18%	0.22%	0.14%
32	0.1%	0.13%	0.07%	0.17%	0.21%	0.14%
31	0.1%	0.12%	0.07%	0.17%	0.2%	0.13%
30	0.09%	0.12%	0.06%	0.16%	0.2%	0.12%
29	0.09%	0.12%	0.06%	0.16%	0.19%	0.12%
28	0.09%	0.12%	0.06%	0.15%	0.19%	0.11%
27	0.09%	0.12%	0.06%	0.15%	0.19%	0.11%
26	0.09%	0.12%	0.05%	0.15%	0.19%	0.11%
25	0.09%	0.12%	0.05%	0.15%	0.19%	0.1%
24	0.09%	0.12%	0.05%	0.15%	0.19%	0.1%
23	0.09%	0.12%	0.05%	0.14%	0.19%	0.1%
22	0.09%	0.12%	0.05%	0.14%	0.19%	0.09%
21	0.09%	0.13%	0.05%	0.14%	0.18%	0.09%
20	0.09%	0.12%	0.05%	0.13%	0.17%	0.08%
19	0.08%	0.12%	0.05%	0.12%	0.16%	0.08%
18	0.07%	0.1%	0.04%	0.11%	0.15%	0.07%
17	0.06%	0.08%	0.04%	0.1%	0.13%	0.06%
16	0.05%	0.06%	0.04%	0.09%	0.11%	0.06%
15	0.04%	0.05%	0.03%	0.08%	0.1%	0.05%
14	0.03%	0.03%	0.03%	0.07%	0.09%	0.05%
13	0.02%	0.02%	0.02%	0.06%	0.08%	0.04%
12	0.02%	0.02%	0.02%	0.05%	0.07%	0.04%
11	0.02%	0.02%	0.02%	0.05%	0.07%	0.04%
10	0.01%	0.01%	0.01%	0.05%	0.07%	0.03%
9	0.01%	0.01%	0.01%	0.05%	0.07%	0.03%
8	0.01%	0.01%	0.01%	0.06%	0.07%	0.04%
7	0.01%	0.02%	0.01%	0.06%	0.09%	0.04%
6	0.02%	0.02%	0.02%	0.08%	0.1%	0.05%
5	0.02%	0.02%	0.02%	0.1%	0.13%	0.07%
4	0.02%	0.02%	0.02%	0.13%	0.16%	0.1%
3	0.03%	0.03%	0.03%	0.19%	0.21%	0.16%
2	0.03%	0.03%	0.04%	0.27%	0.28%	0.26%
1	0.04%	0.04%	0.05%	0.4%	0.37%	0.42%
0	0.85%	0.88%	0.83%	4.65%	5.09%	4.19%

This chart displays the probability of dying at any given age in Argentina compared to Pakistan, 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 Pakistan, 0.09% vs 0.16% at age 30, 0.96% vs 1.54% at 60, and 5.66% vs 10.5% at 80.

Death rate by age in Argentina vs Pakistan

Chart Table

Argentina

Male

Female

Pakistan

Male

Female

1x

Age	Death rate
	Argentina			Pakistan
	Total	Male	Female	Total	Male	Female
100	520	252.3	745	0	0	0
99	784	455	1,070	58.8	30.2	94.6
98	998	599	1,350	96.7	51.2	153
97	1,238	767	1,658	152.8	83.9	237.3
96	1,497	959	1,982	231.9	132.9	352
95	1,759	1,172	2,297	338	203.5	500
94	2,028	1,408	2,604	475	301	680
93	2,300	1,654	2,907	643	431	890
92	2,573	1,898	3,211	843	593	1,128
91	2,825	2,133	3,482	1,071	785	1,390
90	3,023	2,357	3,661	1,322	1,000	1,675
89	3,178	2,564	3,776	1,588	1,230	1,977
88	3,294	2,752	3,833	1,862	1,467	2,288
87	3,373	2,926	3,829	2,135	1,705	2,597
86	3,425	3,083	3,789	2,400	1,941	2,889
85	3,453	3,220	3,720	2,648	2,171	3,152
84	3,451	3,329	3,616	2,868	2,391	3,370
83	3,414	3,399	3,478	3,053	2,593	3,533
82	3,336	3,417	3,307	3,195	2,768	3,635
81	3,218	3,382	3,106	3,290	2,909	3,677
80	3,068	3,299	2,889	3,339	3,013	3,663
79	2,902	3,182	2,670	3,344	3,080	3,603
78	2,731	3,045	2,461	3,312	3,111	3,507
77	2,565	2,902	2,269	3,250	3,113	3,386
76	2,411	2,761	2,097	3,169	3,091	3,248
75	2,270	2,629	1,945	3,074	3,047	3,097
74	2,145	2,508	1,810	2,965	2,985	2,939
73	2,030	2,396	1,688	2,845	2,907	2,773
72	1,922	2,289	1,575	2,714	2,815	2,602
71	1,819	2,185	1,469	2,576	2,711	2,428
70	1,720	2,082	1,369	2,433	2,597	2,254
69	1,623	1,979	1,277	2,289	2,477	2,083
68	1,528	1,872	1,191	2,145	2,353	1,919
67	1,434	1,762	1,111	2,005	2,229	1,763
66	1,342	1,649	1,037	1,871	2,106	1,617
65	1,251	1,535	968	1,743	1,986	1,482
64	1,164	1,424	904	1,622	1,869	1,358
63	1,080	1,317	842	1,509	1,756	1,245
62	999	1,216	782	1,403	1,648	1,142
61	922	1,121	723	1,304	1,544	1,049
60	850	1,032	667	1,211	1,443	965
59	781	948	613	1,124	1,345	889
58	716	869	562	1,041	1,251	819
57	654	794	515	964	1,159	756
56	597	723	470	890	1,072	698
55	544	658	430	822	989	646
54	497	598	394	758	911	598
53	454	545	362	700	838	554
52	416	497	334	646	772	513
51	382	454	308	597	711	476
50	351	415	285.3	551	656	441
49	323	379	263.7	509	605	409
48	295.6	346	243.3	470	557	378
47	270.1	315	223.7	433	513	348
46	246.2	285.9	205.1	398	472	321
45	224.3	259.7	187.8	366	434	294.9
44	204.9	236.5	172.1	337	399	271.4
43	188.1	216.9	158.3	310	367	250.3
42	174.1	200.8	146.5	286.7	339	231.7
41	162.5	187.7	136.2	265.8	314	215.3
40	152.7	177.1	127.2	247.4	291.4	200.9
39	144	168	118.9	231.3	272	188.2
38	136.1	160	111.1	217.2	255.1	176.8
37	128.5	152.6	103.3	204.7	240.4	166.4
36	121.2	145.5	95.8	193.6	227.5	156.9
35	114.4	139	88.6	183.5	216.3	148.2
34	108.1	133	82	174.5	206.3	140.2
33	102.6	128	76.1	166.4	197.5	133
32	98.2	124.1	71.1	159.3	189.7	126.4
31	94.7	121.2	66.9	153	183	120.6
30	92	119.3	63.5	147.6	177.5	115.4
29	89.8	117.9	60.4	143.3	173.5	110.9
28	88	117	57.6	140.1	171.1	106.9
27	86.4	116.3	55.1	137.9	170.3	103.3
26	85.1	116	52.7	136.6	170.9	100
25	84.2	116.3	50.6	135.8	172.4	96.8
24	83.9	117.2	49	135	174	93.4
23	84.5	119.4	47.9	133.5	174.7	89.7
22	85.6	122	47.4	130.8	173.4	85.6
21	86.6	123.9	47.2	126.5	169.1	81
20	85.9	122.9	46.9	120	161.3	76
19	82	116.1	45.9	111.7	150	70.8
18	73.8	102.2	43.6	101.9	136.1	65.5
17	62.3	83.4	40	91.4	120.7	60.3
16	49.6	63.1	35.2	81	105.3	55.2
15	38.2	45.8	30.1	71.4	91.2	50.3
14	29.1	32.7	25.1	63	79.4	45.7
13	22.6	24.1	21	56.3	70.4	41.3
12	18.2	18.8	17.7	51.4	64.4	37.6
11	15.5	15.7	15.3	48.3	61.3	34.6
10	14	14.1	13.8	47.3	61.1	32.8
9	13.4	13.8	13	48.6	63.8	32.6
8	13.6	14.2	13.1	52.7	69.9	34.6
7	14.6	15.3	13.8	60.5	80.3	39.7
6	16.4	17.2	15.5	73.5	96.2	49.5
5	19	19.7	18.3	94.2	119.5	67.4
4	22.7	22.9	22.5	126.6	153	98.7
3	27.6	26.9	28.4	177	199.9	152.9
2	34.2	31.8	36.6	255.7	265	245.8
1	42.6	37.8	47.7	378	354	403
0	851	876	826	4,650	5,086	4,193

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 Pakistan. The median age of death is 81.4 in Argentina and 74.3 in Pakistan, 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 Pakistan more than their death rates.

Life expectancy in other countries

+ -

1x