Life Expectancy in Argentina vs Zimbabwe (1950-2026)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Argentina vs Zimbabwe: 79.4 years vs 68.5 at 30, 83.4 vs 78.3 at 65, 88.8 vs 86.4 at 80 — significantly higher than the 77.8 vs 63.6 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Argentina and Zimbabwe.

Table

Current age, years	Total life expectancy, years
	Argentina			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	77.8	75.3	80.3	63.6	61	65.9
1	78.5	76	81	65.6	63.2	67.7
2	78.5	76	81	66	63.5	68.1
3	78.6	76	81	66.2	63.6	68.3
4	78.6	76	81	66.3	63.8	68.4
5	78.6	76	81.1	66.4	63.9	68.5
6	78.6	76.1	81.1	66.5	64	68.6
7	78.6	76.1	81.1	66.5	64	68.7
8	78.6	76.1	81.1	66.6	64.1	68.7
9	78.6	76.1	81.1	66.6	64.1	68.8
10	78.6	76.1	81.1	66.7	64.2	68.8
11	78.7	76.1	81.1	66.7	64.2	68.8
12	78.7	76.1	81.1	66.8	64.2	68.9
13	78.7	76.1	81.1	66.8	64.3	68.9
14	78.7	76.2	81.2	66.8	64.3	69
15	78.7	76.2	81.2	66.9	64.4	69
16	78.7	76.2	81.2	67	64.4	69.1
17	78.8	76.2	81.2	67	64.5	69.1
18	78.8	76.3	81.2	67.1	64.6	69.2
19	78.9	76.3	81.3	67.2	64.7	69.3
20	78.9	76.4	81.3	67.3	64.8	69.3
21	79	76.5	81.3	67.4	64.9	69.4
22	79	76.6	81.4	67.5	65	69.5
23	79.1	76.6	81.4	67.6	65.1	69.6
24	79.1	76.7	81.4	67.7	65.3	69.7
25	79.1	76.7	81.4	67.8	65.4	69.8
26	79.2	76.8	81.5	68	65.5	70
27	79.2	76.9	81.5	68.1	65.7	70.1
28	79.3	76.9	81.5	68.2	65.8	70.2
29	79.3	77	81.6	68.4	66	70.4
30	79.4	77	81.6	68.5	66.2	70.5
31	79.4	77.1	81.6	68.7	66.3	70.6
32	79.5	77.2	81.7	68.9	66.5	70.8
33	79.5	77.2	81.7	69	66.7	71
34	79.6	77.3	81.7	69.2	66.9	71.1
35	79.6	77.3	81.8	69.4	67.1	71.3
36	79.7	77.4	81.8	69.6	67.3	71.5
37	79.7	77.5	81.9	69.8	67.5	71.7
38	79.8	77.5	81.9	70	67.8	71.9
39	79.8	77.6	82	70.2	68	72
40	79.9	77.6	82	70.5	68.2	72.2
41	80	77.7	82.1	70.7	68.5	72.5
42	80	77.8	82.1	70.9	68.7	72.7
43	80.1	77.9	82.2	71.2	69	72.9
44	80.2	77.9	82.2	71.4	69.3	73.1
45	80.2	78	82.3	71.7	69.6	73.3
46	80.3	78.1	82.4	71.9	69.9	73.6
47	80.4	78.2	82.5	72.2	70.2	73.8
48	80.5	78.3	82.5	72.5	70.5	74
49	80.6	78.4	82.6	72.7	70.8	74.3
50	80.7	78.5	82.7	73	71.1	74.6
51	80.8	78.7	82.8	73.3	71.4	74.8
52	80.9	78.8	82.9	73.6	71.8	75.1
53	81.1	78.9	83	73.9	72.1	75.4
54	81.2	79.1	83.1	74.2	72.5	75.7
55	81.3	79.3	83.3	74.6	72.8	76
56	81.5	79.4	83.4	74.9	73.2	76.3
57	81.7	79.6	83.5	75.2	73.6	76.6
58	81.8	79.8	83.7	75.6	74	76.9
59	82	80	83.8	75.9	74.4	77.2
60	82.2	80.3	84	76.3	74.8	77.5
61	82.4	80.5	84.2	76.7	75.2	77.9
62	82.7	80.7	84.3	77.1	75.6	78.2
63	82.9	81	84.5	77.5	76.1	78.6
64	83.1	81.3	84.7	77.9	76.5	79
65	83.4	81.6	84.9	78.3	77	79.4
66	83.7	81.9	85.2	78.8	77.5	79.8
67	83.9	82.2	85.4	79.2	77.9	80.2
68	84.2	82.6	85.6	79.7	78.4	80.7
69	84.6	82.9	85.9	80.2	79	81.1
70	84.9	83.3	86.1	80.7	79.5	81.6
71	85.2	83.7	86.4	81.2	80	82.1
72	85.5	84.1	86.7	81.7	80.6	82.5
73	85.9	84.5	87	82.2	81.2	83
74	86.3	84.9	87.3	82.8	81.7	83.5
75	86.6	85.3	87.6	83.4	82.3	84.1
76	87	85.8	87.9	83.9	83	84.6
77	87.4	86.2	88.3	84.5	83.6	85.2
78	87.9	86.7	88.6	85.1	84.2	85.7
79	88.3	87.2	89	85.8	84.9	86.3
80	88.8	87.8	89.4	86.4	85.6	86.9
81	89.3	88.3	89.8	87	86.3	87.5
82	89.8	88.9	90.3	87.7	87	88.1
83	90.3	89.5	90.8	88.4	87.7	88.7
84	90.9	90.2	91.3	89	88.4	89.4
85	91.5	90.8	91.8	89.8	89.2	90.1
86	92.1	91.5	92.4	90.5	90	90.8
87	92.7	92.2	93	91.2	90.8	91.5
88	93.4	92.9	93.6	92	91.6	92.2
89	94	93.6	94.2	92.8	92.4	93
90	94.7	94.3	94.9	93.6	93.2	93.8
91	95.4	95	95.6	94.4	94	94.5
92	96.1	95.8	96.3	95.2	94.9	95.3
93	96.9	96.6	97	96	95.7	96.1
94	97.6	97.3	97.7	96.9	96.6	97
95	98.4	98.2	98.5	97.7	97.5	97.8
96	99.2	99	99.3	98.6	98.4	98.7
97	100	99.8	100.1	99.5	99.2	99.5
98	100.8	100.6	100.9	100.4	100.1	100.4
99	101.7	101.4	101.8	101.2	101	101.3
100	102.6	102.3	102.7	102.2	101.9	102.2

Odds of living to age in Argentina vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 88.9% in Argentina and 66.2% in Zimbabwe are expected to survive till at least 60 years old, 76.7% and 47.3% will live to 70 years or older, 54.2% and 23.5% to 80+ years, and 21% and 4.99% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Argentina			Zimbabwe
	Average	Male	Female	Average	Male	Female
1	99.1%	99.1%	99.2%	96.9%	96.6%	97.3%
2	99.1%	99.1%	99.1%	96.5%	96.1%	96.8%
3	99.1%	99.1%	99.1%	96.2%	95.8%	96.5%
4	99%	99%	99.1%	95.9%	95.6%	96.3%
5	99%	99%	99%	95.8%	95.5%	96.1%
6	99%	99%	99%	95.7%	95.3%	96%
7	99%	99%	99%	95.6%	95.2%	95.9%
8	99%	99%	99%	95.5%	95.1%	95.8%
9	99%	98.9%	99%	95.4%	95.1%	95.8%
10	98.9%	98.9%	99%	95.3%	95%	95.7%
11	98.9%	98.9%	99%	95.3%	94.9%	95.6%
12	98.9%	98.9%	98.9%	95.2%	94.8%	95.6%
13	98.9%	98.9%	98.9%	95.1%	94.8%	95.5%
14	98.9%	98.9%	98.9%	95%	94.7%	95.4%
15	98.8%	98.8%	98.9%	94.9%	94.6%	95.3%
16	98.8%	98.8%	98.8%	94.8%	94.5%	95.2%
17	98.8%	98.7%	98.8%	94.7%	94.3%	95.1%
18	98.7%	98.6%	98.8%	94.6%	94.2%	95%
19	98.6%	98.5%	98.7%	94.4%	94%	94.9%
20	98.5%	98.4%	98.7%	94.2%	93.8%	94.7%
21	98.5%	98.3%	98.6%	94%	93.5%	94.5%
22	98.4%	98.2%	98.6%	93.8%	93.3%	94.4%
23	98.3%	98%	98.5%	93.6%	93%	94.2%
24	98.2%	97.9%	98.5%	93.3%	92.7%	93.9%
25	98.1%	97.8%	98.4%	93.1%	92.4%	93.7%
26	98%	97.7%	98.4%	92.8%	92.1%	93.5%
27	97.9%	97.6%	98.3%	92.5%	91.7%	93.2%
28	97.9%	97.5%	98.3%	92.1%	91.4%	92.9%
29	97.8%	97.3%	98.2%	91.8%	91%	92.6%
30	97.7%	97.2%	98.2%	91.4%	90.6%	92.3%
31	97.6%	97.1%	98.1%	91.1%	90.1%	91.9%
32	97.5%	97%	98%	90.7%	89.7%	91.6%
33	97.4%	96.9%	98%	90.2%	89.2%	91.2%
34	97.3%	96.7%	97.9%	89.8%	88.7%	90.8%
35	97.2%	96.6%	97.8%	89.3%	88.1%	90.4%
36	97.1%	96.5%	97.7%	88.8%	87.5%	89.9%
37	96.9%	96.3%	97.6%	88.2%	86.9%	89.5%
38	96.8%	96.2%	97.5%	87.7%	86.3%	89%
39	96.7%	96%	97.4%	87.1%	85.6%	88.4%
40	96.5%	95.8%	97.3%	86.4%	84.9%	87.9%
41	96.4%	95.7%	97.2%	85.8%	84.1%	87.3%
42	96.2%	95.5%	97%	85.1%	83.3%	86.7%
43	96.1%	95.3%	96.9%	84.4%	82.5%	86.1%
44	95.9%	95%	96.7%	83.6%	81.6%	85.5%
45	95.7%	94.8%	96.5%	82.9%	80.7%	84.8%
46	95.4%	94.6%	96.4%	82%	79.7%	84.1%
47	95.2%	94.3%	96.2%	81.2%	78.7%	83.4%
48	94.9%	93.9%	95.9%	80.3%	77.7%	82.6%
49	94.6%	93.6%	95.7%	79.4%	76.6%	81.8%
50	94.3%	93.2%	95.4%	78.4%	75.4%	81%
51	93.9%	92.8%	95.1%	77.4%	74.2%	80.1%
52	93.6%	92.4%	94.8%	76.3%	73%	79.1%
53	93.1%	91.9%	94.5%	75.2%	71.7%	78.2%
54	92.7%	91.3%	94.1%	74.1%	70.3%	77.2%
55	92.2%	90.7%	93.7%	72.9%	69%	76.1%
56	91.7%	90.1%	93.3%	71.7%	67.5%	75%
57	91.1%	89.3%	92.8%	70.4%	66%	73.9%
58	90.4%	88.5%	92.3%	69.1%	64.5%	72.7%
59	89.7%	87.7%	91.8%	67.6%	62.9%	71.4%
60	88.9%	86.7%	91.1%	66.2%	61.2%	70.1%
61	88.1%	85.7%	90.5%	64.6%	59.5%	68.7%
62	87.1%	84.6%	89.8%	63%	57.7%	67.2%
63	86.1%	83.4%	89%	61.2%	55.8%	65.7%
64	85.1%	82%	88.1%	59.5%	53.8%	64%
65	83.9%	80.6%	87.2%	57.6%	51.8%	62.3%
66	82.6%	79.1%	86.3%	55.6%	49.7%	60.5%
67	81.3%	77.4%	85.2%	53.6%	47.6%	58.6%
68	79.9%	75.7%	84.1%	51.6%	45.4%	56.7%
69	78.3%	73.8%	82.9%	49.5%	43.2%	54.7%
70	76.7%	71.8%	81.6%	47.3%	40.9%	52.6%
71	75%	69.7%	80.3%	45.1%	38.6%	50.4%
72	73.2%	67.5%	78.8%	42.8%	36.3%	48.2%
73	71.3%	65.3%	77.2%	40.4%	33.9%	45.9%
74	69.2%	62.9%	75.5%	38%	31.4%	43.6%
75	67.1%	60.4%	73.7%	35.6%	29%	41.2%
76	64.8%	57.7%	71.8%	33.2%	26.6%	38.7%
77	62.4%	55%	69.7%	30.7%	24.3%	36.3%
78	59.8%	52.1%	67.4%	28.3%	21.9%	33.8%
79	57.1%	49%	65%	25.9%	19.7%	31.3%
80	54.2%	45.8%	62.3%	23.5%	17.5%	28.8%
81	51.1%	42.5%	59.4%	21.2%	15.4%	26.4%
82	47.9%	39.2%	56.3%	19%	13.4%	24%
83	44.6%	35.7%	53%	16.8%	11.5%	21.5%
84	41.2%	32.3%	49.5%	14.7%	9.78%	19.1%
85	37.7%	29%	45.9%	12.7%	8.2%	16.8%
86	34.3%	25.8%	42.2%	10.8%	6.78%	14.5%
87	30.8%	22.7%	38.4%	9.1%	5.53%	12.4%
88	27.5%	19.8%	34.6%	7.56%	4.44%	10.5%
89	24.2%	17%	30.7%	6.18%	3.51%	8.72%
90	21%	14.5%	26.9%	4.99%	2.73%	7.15%
91	18%	12.1%	23.3%	3.95%	2.09%	5.75%
92	15.1%	9.97%	19.8%	3.08%	1.57%	4.57%
93	12.6%	8.07%	16.6%	2.36%	1.15%	3.55%
94	10.3%	6.42%	13.7%	1.77%	0.83%	2.71%
95	8.24%	5.01%	11.1%	1.3%	0.59%	2.02%
96	6.48%	3.84%	8.79%	0.94%	0.4%	1.47%
97	4.98%	2.88%	6.8%	0.66%	0.27%	1.05%
98	3.74%	2.11%	5.15%	0.46%	0.18%	0.73%
99	2.74%	1.52%	3.8%	0.31%	0.12%	0.5%
100	1.96%	1.06%	2.73%	0.2%	0.07%	0.33%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.85% in the birth year in Argentina and 3.05% in Zimbabwe, 0.09% vs 0.42% at age 30, 0.96% vs 2.37% at 60, and 5.66% vs 9.89% at 80.

Below is a graph displaying the probabilities of dying in Argentina compared to Zimbabwe at any given age.

Table

Age	Probability of dying
	Argentina			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	0.85%	0.88%	0.83%	3.05%	3.4%	2.7%
1	0.04%	0.04%	0.05%	0.5%	0.48%	0.52%
2	0.03%	0.03%	0.04%	0.32%	0.32%	0.32%
3	0.03%	0.03%	0.03%	0.22%	0.22%	0.22%
4	0.02%	0.02%	0.02%	0.16%	0.17%	0.16%
5	0.02%	0.02%	0.02%	0.12%	0.13%	0.12%
6	0.02%	0.02%	0.02%	0.1%	0.11%	0.1%
7	0.01%	0.02%	0.01%	0.09%	0.1%	0.09%
8	0.01%	0.01%	0.01%	0.08%	0.09%	0.08%
9	0.01%	0.01%	0.01%	0.08%	0.08%	0.07%
10	0.01%	0.01%	0.01%	0.07%	0.08%	0.07%
11	0.02%	0.02%	0.02%	0.07%	0.08%	0.07%
12	0.02%	0.02%	0.02%	0.08%	0.08%	0.07%
13	0.02%	0.02%	0.02%	0.08%	0.09%	0.08%
14	0.03%	0.03%	0.03%	0.1%	0.1%	0.09%
15	0.04%	0.05%	0.03%	0.11%	0.12%	0.1%
16	0.05%	0.06%	0.04%	0.13%	0.14%	0.12%
17	0.06%	0.08%	0.04%	0.15%	0.17%	0.13%
18	0.07%	0.1%	0.04%	0.17%	0.2%	0.15%
19	0.08%	0.12%	0.05%	0.19%	0.22%	0.16%
20	0.09%	0.12%	0.05%	0.21%	0.25%	0.18%
21	0.09%	0.13%	0.05%	0.23%	0.27%	0.19%
22	0.09%	0.12%	0.05%	0.25%	0.29%	0.21%
23	0.09%	0.12%	0.05%	0.27%	0.31%	0.23%
24	0.09%	0.12%	0.05%	0.29%	0.33%	0.25%
25	0.09%	0.12%	0.05%	0.31%	0.35%	0.26%
26	0.09%	0.12%	0.05%	0.33%	0.37%	0.29%
27	0.09%	0.12%	0.06%	0.35%	0.4%	0.31%
28	0.09%	0.12%	0.06%	0.37%	0.42%	0.33%
29	0.09%	0.12%	0.06%	0.4%	0.45%	0.35%
30	0.09%	0.12%	0.06%	0.42%	0.48%	0.37%
31	0.1%	0.12%	0.07%	0.44%	0.51%	0.39%
32	0.1%	0.13%	0.07%	0.47%	0.54%	0.41%
33	0.11%	0.13%	0.08%	0.5%	0.58%	0.44%
34	0.11%	0.14%	0.08%	0.54%	0.62%	0.47%
35	0.12%	0.14%	0.09%	0.57%	0.66%	0.5%
36	0.12%	0.15%	0.1%	0.61%	0.71%	0.53%
37	0.13%	0.16%	0.11%	0.64%	0.75%	0.55%
38	0.14%	0.17%	0.11%	0.68%	0.8%	0.59%
39	0.15%	0.18%	0.12%	0.72%	0.85%	0.62%
40	0.16%	0.18%	0.13%	0.76%	0.9%	0.65%
41	0.17%	0.2%	0.14%	0.8%	0.95%	0.68%
42	0.18%	0.21%	0.15%	0.84%	1%	0.71%
43	0.2%	0.23%	0.16%	0.89%	1.06%	0.75%
44	0.21%	0.25%	0.18%	0.93%	1.12%	0.78%
45	0.23%	0.27%	0.19%	0.99%	1.19%	0.83%
46	0.26%	0.3%	0.21%	1.04%	1.25%	0.87%
47	0.28%	0.33%	0.23%	1.09%	1.33%	0.92%
48	0.31%	0.37%	0.25%	1.16%	1.41%	0.98%
49	0.34%	0.41%	0.28%	1.22%	1.5%	1.03%
50	0.37%	0.45%	0.3%	1.3%	1.6%	1.1%
51	0.41%	0.49%	0.32%	1.36%	1.68%	1.15%
52	0.44%	0.54%	0.35%	1.44%	1.78%	1.23%
53	0.49%	0.59%	0.38%	1.52%	1.87%	1.29%
54	0.54%	0.66%	0.42%	1.6%	1.97%	1.36%
55	0.59%	0.73%	0.46%	1.69%	2.09%	1.44%
56	0.65%	0.8%	0.5%	1.79%	2.2%	1.53%
57	0.72%	0.89%	0.55%	1.91%	2.33%	1.62%
58	0.79%	0.98%	0.61%	2.04%	2.48%	1.73%
59	0.87%	1.08%	0.67%	2.19%	2.65%	1.85%
60	0.96%	1.19%	0.73%	2.37%	2.87%	1.99%
61	1.05%	1.31%	0.8%	2.53%	3.04%	2.13%
62	1.15%	1.44%	0.87%	2.73%	3.28%	2.31%
63	1.25%	1.58%	0.95%	2.92%	3.5%	2.49%
64	1.37%	1.74%	1.03%	3.14%	3.74%	2.7%
65	1.49%	1.9%	1.11%	3.38%	4.01%	2.93%
66	1.62%	2.08%	1.2%	3.58%	4.26%	3.1%
67	1.76%	2.28%	1.3%	3.82%	4.56%	3.31%
68	1.91%	2.47%	1.42%	4.09%	4.9%	3.54%
69	2.07%	2.68%	1.54%	4.38%	5.25%	3.78%
70	2.24%	2.9%	1.68%	4.75%	5.7%	4.11%
71	2.43%	3.13%	1.83%	5.06%	6.09%	4.37%
72	2.63%	3.39%	2%	5.51%	6.62%	4.76%
73	2.85%	3.67%	2.19%	5.92%	7.12%	5.11%
74	3.1%	3.99%	2.4%	6.38%	7.68%	5.51%
75	3.38%	4.36%	2.64%	6.87%	8.28%	5.94%
76	3.72%	4.78%	2.92%	7.37%	8.9%	6.37%
77	4.11%	5.28%	3.26%	7.89%	9.57%	6.81%
78	4.56%	5.85%	3.65%	8.54%	10.4%	7.38%
79	5.08%	6.49%	4.11%	9.11%	11.1%	7.87%
80	5.66%	7.2%	4.64%	9.89%	12.1%	8.58%
81	6.29%	7.95%	5.23%	10.5%	12.9%	9.17%
82	6.96%	8.73%	5.87%	11.6%	14%	10.2%
83	7.66%	9.51%	6.56%	12.5%	15%	11.2%
84	8.39%	10.3%	7.3%	13.6%	16.2%	12.3%
85	9.16%	11.1%	8.1%	14.7%	17.3%	13.3%
86	10%	12%	8.98%	15.8%	18.5%	14.5%
87	10.9%	12.9%	9.97%	16.9%	19.7%	15.6%
88	12%	13.9%	11.1%	18.2%	20.9%	16.8%
89	13.2%	15.1%	12.3%	19.3%	22.2%	18%
90	14.4%	16.3%	13.6%	20.9%	23.7%	19.6%
91	15.7%	17.6%	15%	21.9%	24.9%	20.6%
92	17%	19%	16.2%	23.5%	26.4%	22.2%
93	18.3%	20.5%	17.5%	24.9%	27.9%	23.7%
94	19.8%	21.9%	19%	26.4%	29.5%	25.4%
95	21.4%	23.4%	20.7%	28.1%	31%	27.1%
96	23.1%	25%	22.6%	29.6%	32.5%	28.7%
97	24.9%	26.6%	24.4%	31.1%	33.9%	30.2%
98	26.7%	28.3%	26.2%	32.4%	35.2%	31.7%
99	28.6%	30%	28.2%	34.3%	36.9%	33.6%
100	30.3%	31.7%	30%	35.7%	38.2%	35%

Death rate by age in Argentina compared to Zimbabwe

In Argentina, the most common age of death is 85, compared to 0 in Zimbabwe. The median age of death is 81.4 in Argentina and 68.8 in Zimbabwe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Argentina			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	851	876	826	3,053	3,402	2,699
1	42.6	37.8	47.7	484	463	505
2	34.2	31.8	36.6	308	305	311
3	27.6	26.9	28.4	211.7	213.4	209.9
4	22.7	22.9	22.5	153.9	157.9	149.8
5	19	19.7	18.3	116.6	119.9	113.1
6	16.4	17.2	15.5	98.5	103	94
7	14.6	15.3	13.8	87.5	92.4	82.5
8	13.6	14.2	13.1	78.6	83.3	73.8
9	13.4	13.8	13	72.9	76.9	68.8
10	14	14.1	13.8	70.4	74.5	66.2
11	15.5	15.7	15.3	70.9	76.1	65.5
12	18.2	18.8	17.7	73.9	79.4	68.4
13	22.6	24.1	21	80.4	85.9	74.8
14	29.1	32.7	25.1	90.9	97.8	83.9
15	38.2	45.8	30.1	106.1	114.9	97.1
16	49.6	63.1	35.2	122.8	135.4	110
17	62.3	83.4	40	143.2	161.3	124.9
18	73.8	102.2	43.6	164.9	188.9	140.6
19	82	116.1	45.9	182.4	209.2	155.3
20	85.9	122.9	46.9	200.4	229.9	170.6
21	86.6	123.9	47.2	216.1	249.9	182.2
22	85.6	122	47.4	234.1	270.1	198.3
23	84.5	119.4	47.9	251.5	289	214.4
24	83.9	117.2	49	268.5	307	231.1
25	84.2	116.3	50.6	286.4	326	248.2
26	85.1	116	52.7	304	344	267.1
27	86.4	116.3	55.1	324	365	286.2
28	88	117	57.6	343	387	303
29	89.8	117.9	60.4	363	409	323
30	92	119.3	63.5	385	436	341
31	94.7	121.2	66.9	403	458	356
32	98.2	124.1	71.1	428	487	379
33	102.6	128	76.1	453	517	400
34	108.1	133	82	481	550	423
35	114.4	139	88.6	512	586	450
36	121.2	145.5	95.8	539	619	473
37	128.5	152.6	103.3	568	655	496
38	136.1	160	111.1	599	691	522
39	144	168	118.9	627	725	545
40	152.7	177.1	127.2	659	766	571
41	162.5	187.7	136.2	685	795	592
42	174.1	200.8	146.5	717	834	617
43	188.1	216.9	158.3	747	871	642
44	204.9	236.5	172.1	779	911	669
45	224.3	259.7	187.8	816	958	702
46	246.2	285.9	205.1	850	1,000	731
47	270.1	315	223.7	888	1,046	766
48	295.6	346	243.3	929	1,096	806
49	323	379	263.7	969	1,146	846
50	351	415	285.3	1,018	1,207	892
51	382	454	308	1,050	1,245	925
52	416	497	334	1,100	1,298	971
53	454	545	362	1,140	1,342	1,009
54	497	598	394	1,184	1,389	1,052
55	544	658	430	1,233	1,440	1,097
56	597	723	470	1,284	1,485	1,146
57	654	794	515	1,341	1,537	1,197
58	716	869	562	1,411	1,599	1,257
59	781	948	613	1,481	1,664	1,318
60	850	1,032	667	1,571	1,756	1,398
61	922	1,121	723	1,632	1,809	1,463
62	999	1,216	782	1,718	1,890	1,553
63	1,080	1,317	842	1,790	1,952	1,636
64	1,164	1,424	904	1,866	2,014	1,726
65	1,251	1,535	968	1,945	2,075	1,824
66	1,342	1,649	1,037	1,993	2,121	1,875
67	1,434	1,762	1,111	2,050	2,172	1,938
68	1,528	1,872	1,191	2,111	2,224	2,007
69	1,623	1,979	1,277	2,166	2,269	2,069
70	1,720	2,082	1,369	2,250	2,336	2,164
71	1,819	2,185	1,469	2,281	2,352	2,203
72	1,922	2,289	1,575	2,356	2,400	2,294
73	2,030	2,396	1,688	2,393	2,412	2,346
74	2,145	2,508	1,810	2,427	2,414	2,401
75	2,270	2,629	1,945	2,448	2,404	2,446
76	2,411	2,761	2,097	2,444	2,370	2,468
77	2,565	2,902	2,269	2,424	2,321	2,470
78	2,731	3,045	2,461	2,416	2,272	2,497
79	2,902	3,182	2,670	2,358	2,186	2,465
80	3,068	3,299	2,889	2,328	2,113	2,474
81	3,218	3,382	3,106	2,235	1,982	2,419
82	3,336	3,417	3,307	2,197	1,873	2,450
83	3,414	3,399	3,478	2,102	1,730	2,403
84	3,451	3,329	3,616	1,999	1,583	2,345
85	3,453	3,220	3,720	1,858	1,418	2,232
86	3,425	3,083	3,789	1,709	1,253	2,102
87	3,373	2,926	3,829	1,540	1,088	1,934
88	3,294	2,752	3,833	1,372	930	1,762
89	3,178	2,564	3,776	1,196	779	1,570
90	3,023	2,357	3,661	1,040	647	1,401
91	2,825	2,133	3,482	863	518	1,184
92	2,573	1,898	3,211	724	414	1,016
93	2,300	1,654	2,907	588	322	843
94	2,028	1,408	2,604	469	244.7	687
95	1,759	1,172	2,297	366	181.8	548
96	1,497	959	1,982	277.6	131.3	423
97	1,238	767	1,658	205	92.4	318
98	998	599	1,350	147.6	63.5	232.4
99	784	455	1,070	105.4	43.2	168.4
100	520	252.3	745	24.9	0	53

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Argentina and Zimbabwe demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Argentina vs Zimbabwe: Numbers and Trends

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size