Life Expectancy in Argentina vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Argentina

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Argentina			Tanzania
	Average	Male	Female	Average	Male	Female
100	102.6	102.3	102.7	102.5	101.9	102.6
99	101.7	101.4	101.8	101.7	101	101.7
98	100.8	100.6	100.9	100.8	100.1	100.9
97	100	99.8	100.1	100	99.2	100.1
96	99.2	99	99.3	99.1	98.4	99.3
95	98.4	98.2	98.5	98.3	97.5	98.4
94	97.6	97.3	97.7	97.4	96.6	97.7
93	96.9	96.6	97	96.6	95.8	96.9
92	96.1	95.8	96.3	95.8	94.9	96.1
91	95.4	95	95.6	95.1	94.1	95.4
90	94.7	94.3	94.9	94.3	93.3	94.6
89	94	93.6	94.2	93.5	92.5	93.9
88	93.4	92.9	93.6	92.7	91.7	93.2
87	92.7	92.2	93	92	90.9	92.5
86	92.1	91.5	92.4	91.3	90.1	91.9
85	91.5	90.8	91.8	90.6	89.4	91.2
84	90.9	90.2	91.3	89.9	88.7	90.6
83	90.3	89.5	90.8	89.2	88	90
82	89.8	88.9	90.3	88.6	87.3	89.4
81	89.3	88.3	89.8	87.9	86.6	88.9
80	88.8	87.8	89.4	87.3	86	88.3
79	88.3	87.2	89	86.8	85.3	87.8
78	87.9	86.7	88.6	86.2	84.7	87.3
77	87.4	86.2	88.3	85.6	84.1	86.8
76	87	85.8	87.9	85.1	83.5	86.3
75	86.6	85.3	87.6	84.5	83	85.8
74	86.3	84.9	87.3	84	82.4	85.3
73	85.9	84.5	87	83.5	81.9	84.8
72	85.5	84.1	86.7	83	81.4	84.3
71	85.2	83.7	86.4	82.5	80.9	83.9
70	84.9	83.3	86.1	82.1	80.4	83.4
69	84.6	82.9	85.9	81.6	79.9	83
68	84.2	82.6	85.6	81.2	79.4	82.6
67	83.9	82.2	85.4	80.7	79	82.2
66	83.7	81.9	85.2	80.3	78.5	81.8
65	83.4	81.6	84.9	79.9	78.1	81.4
64	83.1	81.3	84.7	79.5	77.6	81
63	82.9	81	84.5	79.1	77.2	80.7
62	82.7	80.7	84.3	78.7	76.8	80.3
61	82.4	80.5	84.2	78.4	76.4	80
60	82.2	80.3	84	78	76.1	79.7
59	82	80	83.8	77.7	75.7	79.4
58	81.8	79.8	83.7	77.4	75.4	79.1
57	81.7	79.6	83.5	77.1	75	78.9
56	81.5	79.4	83.4	76.8	74.7	78.6
55	81.3	79.3	83.3	76.5	74.4	78.3
54	81.2	79.1	83.1	76.2	74.1	78.1
53	81.1	78.9	83	75.9	73.8	77.9
52	80.9	78.8	82.9	75.7	73.5	77.6
51	80.8	78.7	82.8	75.4	73.3	77.4
50	80.7	78.5	82.7	75.2	73	77.2
49	80.6	78.4	82.6	75	72.7	77
48	80.5	78.3	82.5	74.7	72.5	76.8
47	80.4	78.2	82.5	74.5	72.3	76.6
46	80.3	78.1	82.4	74.3	72	76.5
45	80.2	78	82.3	74.1	71.8	76.3
44	80.2	77.9	82.2	73.9	71.6	76.1
43	80.1	77.9	82.2	73.8	71.4	76
42	80	77.8	82.1	73.6	71.2	75.8
41	80	77.7	82.1	73.4	71	75.6
40	79.9	77.6	82	73.2	70.8	75.5
39	79.8	77.6	82	73.1	70.7	75.4
38	79.8	77.5	81.9	72.9	70.5	75.2
37	79.7	77.5	81.9	72.8	70.3	75.1
36	79.7	77.4	81.8	72.6	70.2	75
35	79.6	77.3	81.8	72.5	70	74.8
34	79.6	77.3	81.7	72.4	69.9	74.7
33	79.5	77.2	81.7	72.2	69.7	74.6
32	79.5	77.2	81.7	72.1	69.6	74.5
31	79.4	77.1	81.6	72	69.5	74.4
30	79.4	77	81.6	71.9	69.3	74.3
29	79.3	77	81.6	71.8	69.2	74.2
28	79.3	76.9	81.5	71.7	69.1	74.1
27	79.2	76.9	81.5	71.6	69	74
26	79.2	76.8	81.5	71.4	68.9	73.9
25	79.1	76.7	81.4	71.4	68.7	73.9
24	79.1	76.7	81.4	71.3	68.6	73.8
23	79.1	76.6	81.4	71.2	68.5	73.7
22	79	76.6	81.4	71.1	68.4	73.6
21	79	76.5	81.3	71	68.3	73.6
20	78.9	76.4	81.3	70.9	68.2	73.5
19	78.9	76.3	81.3	70.8	68.1	73.4
18	78.8	76.3	81.2	70.8	68.1	73.4
17	78.8	76.2	81.2	70.7	68	73.3
16	78.7	76.2	81.2	70.6	67.9	73.3
15	78.7	76.2	81.2	70.6	67.9	73.2
14	78.7	76.2	81.2	70.5	67.8	73.2
13	78.7	76.1	81.1	70.5	67.8	73.2
12	78.7	76.1	81.1	70.5	67.7	73.1
11	78.7	76.1	81.1	70.4	67.7	73.1
10	78.6	76.1	81.1	70.4	67.7	73.1
9	78.6	76.1	81.1	70.4	67.6	73
8	78.6	76.1	81.1	70.3	67.6	73
7	78.6	76.1	81.1	70.3	67.5	72.9
6	78.6	76.1	81.1	70.2	67.5	72.9
5	78.6	76	81.1	70.2	67.4	72.8
4	78.6	76	81	70.1	67.3	72.7
3	78.6	76	81	69.9	67.2	72.6
2	78.5	76	81	69.8	67	72.4
1	78.5	76	81	69.5	66.8	72.2
0	77.8	75.3	80.3	67.6	64.8	70.4

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 71.9 in Tanzania, rising to 83.4 and 79.9 at 65, and to 88.8 and 87.3 at 80 — higher than the 77.8 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Argentina

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Argentina			Tanzania
	Average	Male	Female	Average	Male	Female
100	1.96%	1.06%	2.73%	0.67%	0.12%	1.28%
99	2.74%	1.52%	3.8%	0.94%	0.2%	1.76%
98	3.74%	2.11%	5.15%	1.29%	0.3%	2.36%
97	4.98%	2.88%	6.8%	1.73%	0.46%	3.12%
96	6.48%	3.84%	8.79%	2.29%	0.68%	4.05%
95	8.24%	5.01%	11.1%	2.99%	0.98%	5.16%
94	10.3%	6.42%	13.7%	3.82%	1.38%	6.46%
93	12.6%	8.07%	16.6%	4.81%	1.89%	7.95%
92	15.1%	9.97%	19.8%	5.97%	2.55%	9.63%
91	18%	12.1%	23.3%	7.28%	3.35%	11.5%
90	21%	14.5%	26.9%	8.82%	4.35%	13.5%
89	24.2%	17%	30.7%	10.5%	5.52%	15.7%
88	27.5%	19.8%	34.6%	12.4%	6.9%	18.1%
87	30.8%	22.7%	38.4%	14.4%	8.47%	20.5%
86	34.3%	25.8%	42.2%	16.6%	10.2%	23.1%
85	37.7%	29%	45.9%	19%	12.2%	25.7%
84	41.2%	32.3%	49.5%	21.4%	14.3%	28.4%
83	44.6%	35.7%	53%	23.9%	16.6%	31%
82	47.9%	39.2%	56.3%	26.5%	19%	33.6%
81	51.1%	42.5%	59.4%	29%	21.4%	36.1%
80	54.2%	45.8%	62.3%	31.5%	24%	38.5%
79	57.1%	49%	65%	34.1%	26.6%	41%
78	59.8%	52.1%	67.4%	36.6%	29.2%	43.4%
77	62.4%	55%	69.7%	39.2%	31.8%	45.8%
76	64.8%	57.7%	71.8%	41.7%	34.5%	48.2%
75	67.1%	60.4%	73.7%	44.2%	37.1%	50.6%
74	69.2%	62.9%	75.5%	46.6%	39.7%	52.9%
73	71.3%	65.3%	77.2%	49%	42.2%	55.1%
72	73.2%	67.5%	78.8%	51.3%	44.7%	57.3%
71	75%	69.7%	80.3%	53.5%	47.1%	59.4%
70	76.7%	71.8%	81.6%	55.7%	49.5%	61.4%
69	78.3%	73.8%	82.9%	57.7%	51.8%	63.3%
68	79.9%	75.7%	84.1%	59.7%	54%	65.2%
67	81.3%	77.4%	85.2%	61.7%	56.2%	67%
66	82.6%	79.1%	86.3%	63.6%	58.3%	68.8%
65	83.9%	80.6%	87.2%	65.4%	60.3%	70.5%
64	85.1%	82%	88.1%	67.2%	62.3%	72%
63	86.1%	83.4%	89%	68.8%	64.2%	73.5%
62	87.1%	84.6%	89.8%	70.4%	66%	74.9%
61	88.1%	85.7%	90.5%	71.9%	67.6%	76.2%
60	88.9%	86.7%	91.1%	73.3%	69.3%	77.5%
59	89.7%	87.7%	91.8%	74.7%	70.8%	78.6%
58	90.4%	88.5%	92.3%	75.9%	72.2%	79.7%
57	91.1%	89.3%	92.8%	77.1%	73.6%	80.7%
56	91.7%	90.1%	93.3%	78.2%	74.9%	81.6%
55	92.2%	90.7%	93.7%	79.3%	76.1%	82.5%
54	92.7%	91.3%	94.1%	80.3%	77.3%	83.3%
53	93.1%	91.9%	94.5%	81.3%	78.4%	84.2%
52	93.6%	92.4%	94.8%	82.2%	79.4%	84.9%
51	93.9%	92.8%	95.1%	83%	80.4%	85.6%
50	94.3%	93.2%	95.4%	83.9%	81.4%	86.3%
49	94.6%	93.6%	95.7%	84.6%	82.3%	86.9%
48	94.9%	93.9%	95.9%	85.3%	83.1%	87.5%
47	95.2%	94.3%	96.2%	86%	83.9%	88.1%
46	95.4%	94.6%	96.4%	86.6%	84.7%	88.6%
45	95.7%	94.8%	96.5%	87.2%	85.4%	89.1%
44	95.9%	95%	96.7%	87.8%	86%	89.6%
43	96.1%	95.3%	96.9%	88.3%	86.7%	90%
42	96.2%	95.5%	97%	88.8%	87.2%	90.5%
41	96.4%	95.7%	97.2%	89.3%	87.8%	90.8%
40	96.5%	95.8%	97.3%	89.8%	88.3%	91.2%
39	96.7%	96%	97.4%	90.2%	88.8%	91.6%
38	96.8%	96.2%	97.5%	90.6%	89.3%	91.9%
37	96.9%	96.3%	97.6%	91%	89.8%	92.2%
36	97.1%	96.5%	97.7%	91.3%	90.2%	92.5%
35	97.2%	96.6%	97.8%	91.7%	90.6%	92.8%
34	97.3%	96.7%	97.9%	92%	90.9%	93.1%
33	97.4%	96.9%	98%	92.3%	91.3%	93.3%
32	97.5%	97%	98%	92.6%	91.6%	93.6%
31	97.6%	97.1%	98.1%	92.9%	92%	93.8%
30	97.7%	97.2%	98.2%	93.1%	92.3%	94%
29	97.8%	97.3%	98.2%	93.4%	92.5%	94.2%
28	97.9%	97.5%	98.3%	93.6%	92.8%	94.4%
27	97.9%	97.6%	98.3%	93.8%	93.1%	94.6%
26	98%	97.7%	98.4%	94%	93.3%	94.8%
25	98.1%	97.8%	98.4%	94.2%	93.6%	94.9%
24	98.2%	97.9%	98.5%	94.4%	93.8%	95.1%
23	98.3%	98%	98.5%	94.6%	94%	95.2%
22	98.4%	98.2%	98.6%	94.8%	94.2%	95.4%
21	98.5%	98.3%	98.6%	95%	94.4%	95.5%
20	98.5%	98.4%	98.7%	95.1%	94.6%	95.6%
19	98.6%	98.5%	98.7%	95.3%	94.8%	95.7%
18	98.7%	98.6%	98.8%	95.4%	95%	95.8%
17	98.8%	98.7%	98.8%	95.5%	95.1%	95.9%
16	98.8%	98.8%	98.8%	95.6%	95.2%	96%
15	98.8%	98.8%	98.9%	95.7%	95.3%	96.1%
14	98.9%	98.9%	98.9%	95.8%	95.4%	96.1%
13	98.9%	98.9%	98.9%	95.8%	95.5%	96.2%
12	98.9%	98.9%	98.9%	95.9%	95.5%	96.2%
11	98.9%	98.9%	99%	95.9%	95.6%	96.3%
10	98.9%	98.9%	99%	96%	95.7%	96.4%
9	99%	98.9%	99%	96.1%	95.7%	96.4%
8	99%	99%	99%	96.1%	95.8%	96.5%
7	99%	99%	99%	96.2%	95.9%	96.5%
6	99%	99%	99%	96.3%	96%	96.6%
5	99%	99%	99%	96.4%	96.1%	96.7%
4	99%	99%	99.1%	96.5%	96.2%	96.8%
3	99.1%	99.1%	99.1%	96.7%	96.4%	97%
2	99.1%	99.1%	99.1%	96.9%	96.6%	97.2%
1	99.1%	99.1%	99.2%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 88.9% of newborns in Argentina and 73.3% in Tanzania are expected to live past 60, 76.7% and 55.7% past 70, 54.2% and 31.5% past 80, and only 21% and 8.82% 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

Tanzania

Male

Female

1x

Age	Probability of dying
	Argentina			Tanzania
	Average	Male	Female	Average	Male	Female
100	30.3%	31.7%	30%	29.4%	38.6%	28.4%
99	28.6%	30%	28.2%	28.3%	37.1%	27.2%
98	26.7%	28.3%	26.2%	26.8%	35.3%	25.5%
97	24.9%	26.6%	24.4%	25.7%	33.9%	24.3%
96	23.1%	25%	22.6%	24.5%	32.3%	23%
95	21.4%	23.4%	20.7%	23.3%	30.7%	21.6%
94	19.8%	21.9%	19%	21.8%	28.9%	20.1%
93	18.3%	20.5%	17.5%	20.6%	27.3%	18.7%
92	17%	19%	16.2%	19.4%	25.7%	17.5%
91	15.7%	17.6%	15%	18.1%	24%	16%
90	14.4%	16.3%	13.6%	17.4%	22.9%	15.3%
89	13.2%	15.1%	12.3%	16.1%	21.3%	13.9%
88	12%	13.9%	11.1%	15.2%	20%	13%
87	10.9%	12.9%	9.97%	14.2%	18.6%	12%
86	10%	12%	8.98%	13.3%	17.3%	11.1%
85	9.16%	11.1%	8.1%	12.3%	16%	10.2%
84	8.39%	10.3%	7.3%	11.4%	14.9%	9.37%
83	7.66%	9.51%	6.56%	10.4%	13.7%	8.46%
82	6.96%	8.73%	5.87%	9.6%	12.6%	7.7%
81	6.29%	7.95%	5.23%	8.6%	11.4%	6.8%
80	5.66%	7.2%	4.64%	8.09%	10.6%	6.4%
79	5.08%	6.49%	4.11%	7.47%	9.73%	5.95%
78	4.56%	5.85%	3.65%	7.01%	9.02%	5.65%
77	4.11%	5.28%	3.26%	6.47%	8.26%	5.24%
76	3.72%	4.78%	2.92%	6.05%	7.65%	4.95%
75	3.38%	4.36%	2.64%	5.63%	7.08%	4.66%
74	3.1%	3.99%	2.4%	5.22%	6.52%	4.35%
73	2.85%	3.67%	2.19%	4.83%	6.02%	4.06%
72	2.63%	3.39%	2%	4.5%	5.58%	3.8%
71	2.43%	3.13%	1.83%	4.12%	5.1%	3.49%
70	2.24%	2.9%	1.68%	3.91%	4.8%	3.33%
69	2.07%	2.68%	1.54%	3.59%	4.41%	3.06%
68	1.91%	2.47%	1.42%	3.37%	4.12%	2.88%
67	1.76%	2.28%	1.3%	3.16%	3.84%	2.7%
66	1.62%	2.08%	1.2%	2.97%	3.6%	2.54%
65	1.49%	1.9%	1.11%	2.83%	3.4%	2.41%
64	1.37%	1.74%	1.03%	2.61%	3.15%	2.2%
63	1.25%	1.58%	0.95%	2.42%	2.92%	2.02%
62	1.15%	1.44%	0.87%	2.25%	2.71%	1.86%
61	1.05%	1.31%	0.8%	2.06%	2.49%	1.7%
60	0.96%	1.19%	0.73%	1.94%	2.34%	1.58%
59	0.87%	1.08%	0.67%	1.78%	2.14%	1.44%
58	0.79%	0.98%	0.61%	1.66%	1.99%	1.34%
57	0.72%	0.89%	0.55%	1.54%	1.85%	1.24%
56	0.65%	0.8%	0.5%	1.44%	1.73%	1.16%
55	0.59%	0.73%	0.46%	1.35%	1.62%	1.09%
54	0.54%	0.66%	0.42%	1.26%	1.52%	1.02%
53	0.49%	0.59%	0.38%	1.18%	1.42%	0.95%
52	0.44%	0.54%	0.35%	1.11%	1.34%	0.9%
51	0.41%	0.49%	0.32%	1.03%	1.24%	0.83%
50	0.37%	0.45%	0.3%	0.97%	1.17%	0.79%
49	0.34%	0.41%	0.28%	0.9%	1.08%	0.73%
48	0.31%	0.37%	0.25%	0.84%	1.01%	0.68%
47	0.28%	0.33%	0.23%	0.78%	0.94%	0.63%
46	0.26%	0.3%	0.21%	0.73%	0.88%	0.59%
45	0.23%	0.27%	0.19%	0.69%	0.83%	0.56%
44	0.21%	0.25%	0.18%	0.64%	0.77%	0.52%
43	0.2%	0.23%	0.16%	0.6%	0.72%	0.49%
42	0.18%	0.21%	0.15%	0.57%	0.68%	0.47%
41	0.17%	0.2%	0.14%	0.53%	0.63%	0.44%
40	0.16%	0.18%	0.13%	0.51%	0.6%	0.42%
39	0.15%	0.18%	0.12%	0.47%	0.56%	0.39%
38	0.14%	0.17%	0.11%	0.45%	0.53%	0.37%
37	0.13%	0.16%	0.11%	0.42%	0.5%	0.34%
36	0.12%	0.15%	0.1%	0.39%	0.47%	0.33%
35	0.12%	0.14%	0.09%	0.37%	0.44%	0.31%
34	0.11%	0.14%	0.08%	0.35%	0.41%	0.29%
33	0.11%	0.13%	0.08%	0.33%	0.39%	0.27%
32	0.1%	0.13%	0.07%	0.31%	0.37%	0.25%
31	0.1%	0.12%	0.07%	0.29%	0.34%	0.24%
30	0.09%	0.12%	0.06%	0.28%	0.33%	0.23%
29	0.09%	0.12%	0.06%	0.26%	0.31%	0.21%
28	0.09%	0.12%	0.06%	0.25%	0.3%	0.2%
27	0.09%	0.12%	0.06%	0.24%	0.28%	0.19%
26	0.09%	0.12%	0.05%	0.22%	0.27%	0.18%
25	0.09%	0.12%	0.05%	0.21%	0.26%	0.17%
24	0.09%	0.12%	0.05%	0.2%	0.25%	0.16%
23	0.09%	0.12%	0.05%	0.19%	0.24%	0.15%
22	0.09%	0.12%	0.05%	0.18%	0.23%	0.14%
21	0.09%	0.13%	0.05%	0.17%	0.21%	0.13%
20	0.09%	0.12%	0.05%	0.16%	0.2%	0.13%
19	0.08%	0.12%	0.05%	0.15%	0.18%	0.12%
18	0.07%	0.1%	0.04%	0.14%	0.17%	0.11%
17	0.06%	0.08%	0.04%	0.12%	0.14%	0.1%
16	0.05%	0.06%	0.04%	0.1%	0.12%	0.09%
15	0.04%	0.05%	0.03%	0.09%	0.1%	0.08%
14	0.03%	0.03%	0.03%	0.08%	0.09%	0.07%
13	0.02%	0.02%	0.02%	0.07%	0.08%	0.06%
12	0.02%	0.02%	0.02%	0.06%	0.07%	0.06%
11	0.02%	0.02%	0.02%	0.06%	0.07%	0.05%
10	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
9	0.01%	0.01%	0.01%	0.06%	0.07%	0.06%
8	0.01%	0.01%	0.01%	0.07%	0.07%	0.06%
7	0.01%	0.02%	0.01%	0.08%	0.08%	0.07%
6	0.02%	0.02%	0.02%	0.08%	0.09%	0.08%
5	0.02%	0.02%	0.02%	0.1%	0.11%	0.09%
4	0.02%	0.02%	0.02%	0.13%	0.14%	0.12%
3	0.03%	0.03%	0.03%	0.18%	0.18%	0.17%
2	0.03%	0.03%	0.04%	0.25%	0.26%	0.25%
1	0.04%	0.04%	0.05%	0.41%	0.41%	0.4%
0	0.85%	0.88%	0.83%	2.69%	2.99%	2.38%

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

The annual chance of dying is 0.85% in the birth year in Argentina and 2.69% in Tanzania, 0.09% vs 0.28% at age 30, 0.96% vs 1.94% at 60, and 5.66% vs 8.09% at 80.

Death rate by age in Argentina vs Tanzania

Chart Table

Argentina

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Argentina			Tanzania
	Total	Male	Female	Total	Male	Female
100	520	252.3	745	140.1	0.71	294.9
99	784	455	1,070	266.5	72.6	478
98	998	599	1,350	344	107.1	602
97	1,238	767	1,658	444	155.1	756
96	1,497	959	1,982	562	218.8	930
95	1,759	1,172	2,297	695	300	1,116
94	2,028	1,408	2,604	834	398	1,297
93	2,300	1,654	2,907	989	516	1,486
92	2,573	1,898	3,211	1,159	656	1,682
91	2,825	2,133	3,482	1,316	805	1,836
90	3,023	2,357	3,661	1,536	994	2,078
89	3,178	2,564	3,776	1,690	1,174	2,190
88	3,294	2,752	3,833	1,881	1,377	2,351
87	3,373	2,926	3,829	2,045	1,575	2,462
86	3,425	3,083	3,789	2,207	1,777	2,566
85	3,453	3,220	3,720	2,336	1,957	2,629
84	3,451	3,329	3,616	2,452	2,143	2,662
83	3,414	3,399	3,478	2,499	2,269	2,625
82	3,336	3,417	3,307	2,540	2,389	2,588
81	3,218	3,382	3,106	2,490	2,434	2,451
80	3,068	3,299	2,889	2,549	2,548	2,467
79	2,902	3,182	2,670	2,545	2,586	2,439
78	2,731	3,045	2,461	2,569	2,636	2,453
77	2,565	2,902	2,269	2,533	2,630	2,402
76	2,411	2,761	2,097	2,519	2,638	2,384
75	2,270	2,629	1,945	2,489	2,625	2,358
74	2,145	2,508	1,810	2,431	2,589	2,297
73	2,030	2,396	1,688	2,367	2,543	2,235
72	1,922	2,289	1,575	2,309	2,496	2,179
71	1,819	2,185	1,469	2,205	2,404	2,072
70	1,720	2,082	1,369	2,174	2,375	2,046
69	1,623	1,979	1,277	2,072	2,284	1,936
68	1,528	1,872	1,191	2,015	2,226	1,877
67	1,434	1,762	1,111	1,948	2,160	1,806
66	1,342	1,649	1,037	1,889	2,097	1,743
65	1,251	1,535	968	1,848	2,051	1,698
64	1,164	1,424	904	1,753	1,961	1,588
63	1,080	1,317	842	1,666	1,874	1,488
62	999	1,216	782	1,583	1,789	1,396
61	922	1,121	723	1,484	1,686	1,293
60	850	1,032	667	1,422	1,617	1,227
59	781	948	613	1,327	1,514	1,135
58	716	869	562	1,257	1,436	1,069
57	654	794	515	1,185	1,359	1,002
56	597	723	470	1,126	1,294	949
55	544	658	430	1,069	1,234	895
54	497	598	394	1,015	1,174	848
53	454	545	362	962	1,116	802
52	416	497	334	914	1,062	763
51	382	454	308	856	999	711
50	351	415	285.3	817	955	680
49	323	379	263.7	761	892	633
48	295.6	346	243.3	716	840	596
47	270.1	315	223.7	671	789	558
46	246.2	285.9	205.1	632	744	525
45	224.3	259.7	187.8	599	705	498
44	204.9	236.5	172.1	563	661	469
43	188.1	216.9	158.3	533	625	445
42	174.1	200.8	146.5	507	593	423
41	162.5	187.7	136.2	476	557	397
40	152.7	177.1	127.2	455	533	380
39	144	168	118.9	428	500	357
38	136.1	160	111.1	405	473	338
37	128.5	152.6	103.3	382	446	318
36	121.2	145.5	95.8	361	420	301
35	114.4	139	88.6	341	398	284.4
34	108.1	133	82	321	375	266.3
33	102.6	128	76.1	303	353	251.3
32	98.2	124.1	71.1	286.8	335	237.8
31	94.7	121.2	66.9	269.7	316	222.6
30	92	119.3	63.5	258.9	303	213.8
29	89.8	117.9	60.4	245	287.2	202.1
28	88	117	57.6	233.1	274.4	191
27	86.4	116.3	55.1	222.2	262.5	181.1
26	85.1	116	52.7	211.5	251.5	171
25	84.2	116.3	50.6	201.9	242.2	161.1
24	83.9	117.2	49	192.7	232.5	152.5
23	84.5	119.4	47.9	183.7	223.1	143.7
22	85.6	122	47.4	174.2	212.6	135.4
21	86.6	123.9	47.2	164	200.4	127
20	85.9	122.9	46.9	154.3	187.4	120.7
19	82	116.1	45.9	142.8	172.9	112.2
18	73.8	102.2	43.6	130.5	157.1	103.4
17	62.3	83.4	40	114.1	134.6	93.3
16	49.6	63.1	35.2	98.8	113.8	83.6
15	38.2	45.8	30.1	85	95.7	74
14	29.1	32.7	25.1	73.3	81.7	64.7
13	22.6	24.1	21	65.1	71.8	58.2
12	18.2	18.8	17.7	60	66.3	53.6
11	15.5	15.7	15.3	57.8	63.8	51.6
10	14	14.1	13.8	57.7	63	52.2
9	13.4	13.8	13	59.9	65.2	54.4
8	13.6	14.2	13.1	64.7	70.4	58.8
7	14.6	15.3	13.8	72.2	78.1	66.1
6	16.4	17.2	15.5	81.7	87.3	76
5	19	19.7	18.3	96.7	101.8	91.4
4	22.7	22.9	22.5	125.6	131.7	119.3
3	27.6	26.9	28.4	171.2	177.9	164.3
2	34.2	31.8	36.6	246.7	252.7	240.5
1	42.6	37.8	47.7	394	394	394
0	851	876	826	2,690	2,990	2,383

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 Tanzania. The median age of death is 81.4 in Argentina and 72.6 in Tanzania, 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 Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x