Life Expectancy in Argentina vs Congo (1950-2025)

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 the Congo: 79.3 years vs 70.6 at 30, 83.3 vs 78.3 at 65, 88.7 vs 85.9 at 80 — significantly higher than the 77.7 vs 66.2 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 the Congo.

Table

Current age, years	Total life expectancy, years
	Argentina			Congo
	Average	Male	Female	Average	Male	Female
0	77.7	75.1	80.2	66.2	64.5	67.9
1	78.4	75.8	80.8	68.1	66.5	69.6
2	78.4	75.8	80.9	68.4	66.8	69.9
3	78.4	75.9	80.9	68.6	67	70.1
4	78.5	75.9	80.9	68.7	67.1	70.3
5	78.5	75.9	80.9	68.8	67.2	70.4
6	78.5	75.9	81	68.8	67.3	70.4
7	78.5	75.9	81	68.9	67.4	70.5
8	78.5	75.9	81	69	67.4	70.5
9	78.5	76	81	69	67.5	70.6
10	78.5	76	81	69	67.5	70.6
11	78.5	76	81	69.1	67.5	70.6
12	78.5	76	81	69.1	67.6	70.7
13	78.6	76	81	69.2	67.6	70.7
14	78.6	76	81	69.2	67.7	70.8
15	78.6	76	81.1	69.2	67.7	70.8
16	78.6	76.1	81.1	69.3	67.8	70.8
17	78.6	76.1	81.1	69.3	67.8	70.9
18	78.7	76.1	81.1	69.4	67.9	71
19	78.7	76.2	81.2	69.5	68	71
20	78.8	76.3	81.2	69.6	68.1	71.1
21	78.8	76.3	81.2	69.6	68.2	71.2
22	78.9	76.4	81.3	69.7	68.3	71.2
23	78.9	76.5	81.3	69.8	68.4	71.3
24	79	76.6	81.3	69.9	68.5	71.4
25	79	76.6	81.3	70	68.6	71.5
26	79.1	76.7	81.4	70.1	68.7	71.6
27	79.1	76.7	81.4	70.2	68.8	71.7
28	79.2	76.8	81.4	70.3	68.9	71.8
29	79.2	76.9	81.5	70.4	69	71.9
30	79.3	76.9	81.5	70.6	69.2	72
31	79.3	77	81.5	70.7	69.3	72.1
32	79.4	77	81.6	70.8	69.4	72.2
33	79.4	77.1	81.6	70.9	69.5	72.3
34	79.5	77.2	81.6	71	69.7	72.4
35	79.5	77.2	81.7	71.2	69.8	72.5
36	79.6	77.3	81.7	71.3	70	72.7
37	79.6	77.3	81.8	71.5	70.1	72.8
38	79.7	77.4	81.8	71.6	70.3	73
39	79.7	77.5	81.9	71.8	70.4	73.1
40	79.8	77.5	81.9	71.9	70.6	73.2
41	79.9	77.6	82	72.1	70.8	73.4
42	79.9	77.7	82	72.3	71	73.6
43	80	77.7	82.1	72.4	71.1	73.7
44	80.1	77.8	82.1	72.6	71.3	73.9
45	80.1	77.9	82.2	72.8	71.5	74.1
46	80.2	78	82.3	73	71.7	74.2
47	80.3	78.1	82.4	73.2	72	74.4
48	80.4	78.2	82.4	73.4	72.2	74.6
49	80.5	78.3	82.5	73.6	72.4	74.8
50	80.6	78.4	82.6	73.8	72.7	75
51	80.7	78.6	82.7	74.1	72.9	75.2
52	80.8	78.7	82.8	74.3	73.2	75.4
53	81	78.8	82.9	74.6	73.5	75.7
54	81.1	79	83.1	74.8	73.7	75.9
55	81.3	79.2	83.2	75.1	74	76.1
56	81.4	79.3	83.3	75.4	74.3	76.4
57	81.6	79.5	83.4	75.6	74.6	76.6
58	81.8	79.7	83.6	75.9	74.9	76.9
59	81.9	79.9	83.7	76.2	75.3	77.1
60	82.1	80.2	83.9	76.5	75.6	77.4
61	82.4	80.4	84.1	76.8	76	77.7
62	82.6	80.7	84.3	77.2	76.3	78
63	82.8	80.9	84.5	77.5	76.7	78.3
64	83.1	81.2	84.7	77.9	77.1	78.6
65	83.3	81.5	84.9	78.3	77.5	78.9
66	83.6	81.8	85.1	78.6	77.9	79.3
67	83.9	82.2	85.3	79	78.4	79.6
68	84.2	82.5	85.6	79.4	78.8	80
69	84.5	82.9	85.8	79.9	79.3	80.4
70	84.8	83.2	86.1	80.3	79.8	80.8
71	85.1	83.6	86.3	80.8	80.3	81.2
72	85.5	84	86.6	81.3	80.8	81.7
73	85.8	84.4	86.9	81.8	81.3	82.2
74	86.2	84.8	87.2	82.3	81.9	82.6
75	86.6	85.3	87.5	82.8	82.5	83.2
76	87	85.7	87.9	83.4	83.1	83.7
77	87.4	86.2	88.2	84	83.7	84.2
78	87.8	86.7	88.6	84.6	84.3	84.8
79	88.3	87.2	89	85.2	85	85.4
80	88.7	87.7	89.4	85.9	85.7	86
81	89.2	88.3	89.8	86.5	86.4	86.6
82	89.8	88.9	90.3	87.2	87.1	87.3
83	90.3	89.5	90.8	87.9	87.8	88
84	90.9	90.2	91.3	88.6	88.5	88.6
85	91.5	90.8	91.8	89.3	89.3	89.4
86	92.1	91.5	92.4	90.1	90.1	90.1
87	92.7	92.2	92.9	90.8	90.8	90.8
88	93.3	92.9	93.6	91.6	91.6	91.6
89	94	93.6	94.2	92.4	92.5	92.4
90	94.7	94.3	94.9	93.2	93.3	93.2
91	95.4	95	95.5	94	94.1	94
92	96.1	95.8	96.3	94.9	94.9	94.8
93	96.9	96.6	97	95.7	95.8	95.7
94	97.6	97.3	97.7	96.6	96.7	96.5
95	98.4	98.1	98.5	97.4	97.5	97.4
96	99.2	99	99.3	98.3	98.4	98.2
97	100	99.8	100.1	99.2	99.3	99.1
98	100.8	100.6	100.9	100.1	100.2	100.1
99	101.7	101.4	101.8	101	101	101
100	102.6	102.3	102.7	101.9	101.9	101.9

Odds of living to age in Argentina vs Congo

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 88.7% in Argentina and 72.7% in the Congo are expected to survive till at least 60 years old, 76.4% and 54.1% will live to 70 years or older, 53.8% and 26.1% to 80+ years, and 20.7% and 4.56% 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			Congo
	Average	Male	Female	Average	Male	Female
1	99.1%	99.1%	99.2%	97.3%	97%	97.6%
2	99.1%	99.1%	99.1%	96.8%	96.5%	97.1%
3	99.1%	99%	99.1%	96.5%	96.2%	96.9%
4	99%	99%	99%	96.4%	96.1%	96.7%
5	99%	99%	99%	96.2%	95.9%	96.5%
6	99%	99%	99%	96.1%	95.8%	96.4%
7	99%	98.9%	99%	96%	95.7%	96.3%
8	98.9%	98.9%	99%	95.9%	95.6%	96.3%
9	98.9%	98.9%	99%	95.9%	95.5%	96.2%
10	98.9%	98.9%	98.9%	95.8%	95.5%	96.1%
11	98.9%	98.9%	98.9%	95.7%	95.4%	96.1%
12	98.9%	98.9%	98.9%	95.7%	95.3%	96%
13	98.9%	98.9%	98.9%	95.6%	95.3%	96%
14	98.9%	98.8%	98.9%	95.5%	95.2%	95.9%
15	98.8%	98.8%	98.8%	95.5%	95.1%	95.8%
16	98.8%	98.7%	98.8%	95.4%	95%	95.7%
17	98.7%	98.7%	98.8%	95.3%	94.9%	95.7%
18	98.7%	98.6%	98.7%	95.2%	94.8%	95.5%
19	98.6%	98.5%	98.7%	95%	94.6%	95.4%
20	98.5%	98.4%	98.7%	94.9%	94.4%	95.3%
21	98.4%	98.3%	98.6%	94.7%	94.2%	95.2%
22	98.3%	98.1%	98.6%	94.5%	94%	95%
23	98.2%	98%	98.5%	94.4%	93.8%	94.9%
24	98.2%	97.9%	98.5%	94.2%	93.6%	94.7%
25	98.1%	97.8%	98.4%	94%	93.4%	94.5%
26	98%	97.6%	98.4%	93.7%	93.1%	94.4%
27	97.9%	97.5%	98.3%	93.5%	92.9%	94.2%
28	97.8%	97.4%	98.2%	93.3%	92.6%	94%
29	97.7%	97.3%	98.2%	93%	92.4%	93.7%
30	97.6%	97.2%	98.1%	92.8%	92.1%	93.5%
31	97.5%	97%	98.1%	92.5%	91.8%	93.3%
32	97.4%	96.9%	98%	92.2%	91.5%	93%
33	97.3%	96.8%	97.9%	91.9%	91.2%	92.7%
34	97.2%	96.7%	97.8%	91.6%	90.8%	92.4%
35	97.1%	96.5%	97.8%	91.3%	90.5%	92.1%
36	97%	96.4%	97.7%	90.9%	90.1%	91.8%
37	96.9%	96.2%	97.6%	90.6%	89.7%	91.5%
38	96.8%	96.1%	97.5%	90.2%	89.2%	91.1%
39	96.6%	95.9%	97.4%	89.7%	88.8%	90.7%
40	96.5%	95.8%	97.2%	89.3%	88.3%	90.3%
41	96.3%	95.6%	97.1%	88.8%	87.8%	89.9%
42	96.2%	95.4%	97%	88.3%	87.3%	89.5%
43	96%	95.2%	96.8%	87.8%	86.7%	89%
44	95.8%	95%	96.7%	87.3%	86.1%	88.5%
45	95.6%	94.7%	96.5%	86.7%	85.4%	88%
46	95.4%	94.5%	96.3%	86.1%	84.8%	87.4%
47	95.1%	94.2%	96.1%	85.4%	84%	86.9%
48	94.8%	93.8%	95.9%	84.8%	83.3%	86.3%
49	94.5%	93.5%	95.6%	84%	82.5%	85.6%
50	94.2%	93.1%	95.4%	83.3%	81.6%	85%
51	93.9%	92.7%	95.1%	82.4%	80.7%	84.2%
52	93.5%	92.2%	94.7%	81.6%	79.7%	83.5%
53	93%	91.7%	94.4%	80.6%	78.7%	82.7%
54	92.6%	91.2%	94%	79.7%	77.6%	81.8%
55	92.1%	90.6%	93.6%	78.7%	76.4%	80.9%
56	91.5%	89.9%	93.2%	77.6%	75.2%	80%
57	90.9%	89.2%	92.7%	76.5%	73.9%	79%
58	90.3%	88.4%	92.2%	75.3%	72.6%	78%
59	89.5%	87.5%	91.6%	74%	71.2%	76.9%
60	88.7%	86.5%	91%	72.7%	69.7%	75.7%
61	87.9%	85.5%	90.3%	71.2%	68.1%	74.5%
62	87%	84.4%	89.6%	69.7%	66.4%	73.1%
63	85.9%	83.1%	88.8%	68.1%	64.6%	71.7%
64	84.9%	81.8%	88%	66.5%	62.8%	70.2%
65	83.7%	80.4%	87.1%	64.7%	60.8%	68.6%
66	82.4%	78.8%	86.1%	62.8%	58.8%	66.9%
67	81.1%	77.1%	85%	60.8%	56.6%	65%
68	79.6%	75.4%	83.9%	58.7%	54.4%	63.1%
69	78.1%	73.5%	82.7%	56.5%	52%	61%
70	76.4%	71.5%	81.4%	54.1%	49.6%	58.8%
71	74.7%	69.4%	80%	51.7%	47%	56.5%
72	72.9%	67.2%	78.5%	49.1%	44.3%	54%
73	70.9%	64.9%	77%	46.4%	41.6%	51.4%
74	68.9%	62.5%	75.3%	43.7%	38.8%	48.6%
75	66.7%	59.9%	73.4%	40.8%	36%	45.8%
76	64.4%	57.3%	71.5%	37.9%	33.1%	42.8%
77	62%	54.5%	69.4%	35%	30.3%	39.7%
78	59.5%	51.6%	67.1%	32%	27.5%	36.6%
79	56.7%	48.6%	64.6%	29%	24.7%	33.5%
80	53.8%	45.4%	61.9%	26.1%	22%	30.4%
81	50.7%	42.1%	59%	23.2%	19.4%	27.2%
82	47.5%	38.7%	55.9%	20.5%	16.9%	24.2%
83	44.2%	35.3%	52.6%	17.8%	14.6%	21.2%
84	40.8%	31.9%	49.1%	15.4%	12.4%	18.3%
85	37.3%	28.6%	45.5%	13%	10.5%	15.7%
86	33.9%	25.4%	41.8%	10.9%	8.7%	13.2%
87	30.5%	22.4%	38%	8.98%	7.13%	10.9%
88	27.1%	19.5%	34.2%	7.29%	5.76%	8.86%
89	23.9%	16.7%	30.4%	5.81%	4.58%	7.08%
90	20.7%	14.2%	26.6%	4.56%	3.59%	5.56%
91	17.7%	11.9%	23%	3.5%	2.76%	4.26%
92	14.9%	9.78%	19.5%	2.64%	2.09%	3.21%
93	12.4%	7.91%	16.4%	1.95%	1.55%	2.36%
94	10.1%	6.29%	13.5%	1.4%	1.13%	1.69%
95	8.11%	4.9%	10.9%	0.99%	0.8%	1.18%
96	6.37%	3.75%	8.64%	0.68%	0.56%	0.8%
97	4.9%	2.82%	6.69%	0.45%	0.38%	0.53%
98	3.68%	2.07%	5.06%	0.3%	0.26%	0.34%
99	2.7%	1.48%	3.73%	0.19%	0.17%	0.21%
100	1.92%	1.04%	2.68%	0.12%	0.11%	0.13%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.87% in the birth year in Argentina and 2.73% in the Congo, 0.1% vs 0.29% at age 30, 0.97% vs 1.97% at 60, and 5.71% vs 11% at 80.

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

Table

Age	Probability of dying
	Argentina			Congo
	Average	Male	Female	Average	Male	Female
0	0.87%	0.89%	0.84%	2.73%	3.05%	2.42%
1	0.04%	0.04%	0.05%	0.46%	0.45%	0.47%
2	0.04%	0.03%	0.04%	0.29%	0.28%	0.29%
3	0.03%	0.03%	0.03%	0.2%	0.2%	0.19%
4	0.02%	0.02%	0.02%	0.14%	0.15%	0.14%
5	0.02%	0.02%	0.02%	0.11%	0.11%	0.11%
6	0.02%	0.02%	0.02%	0.09%	0.1%	0.09%
7	0.02%	0.02%	0.01%	0.08%	0.09%	0.08%
8	0.01%	0.01%	0.01%	0.07%	0.08%	0.07%
9	0.01%	0.01%	0.01%	0.07%	0.07%	0.06%
10	0.01%	0.01%	0.01%	0.07%	0.07%	0.06%
11	0.02%	0.02%	0.02%	0.07%	0.07%	0.06%
12	0.02%	0.02%	0.02%	0.07%	0.07%	0.06%
13	0.02%	0.02%	0.02%	0.07%	0.08%	0.07%
14	0.03%	0.03%	0.03%	0.08%	0.09%	0.07%
15	0.04%	0.05%	0.03%	0.09%	0.1%	0.09%
16	0.05%	0.07%	0.04%	0.11%	0.12%	0.1%
17	0.06%	0.09%	0.04%	0.13%	0.14%	0.11%
18	0.08%	0.11%	0.05%	0.14%	0.17%	0.12%
19	0.08%	0.12%	0.05%	0.16%	0.18%	0.13%
20	0.09%	0.13%	0.05%	0.17%	0.2%	0.14%
21	0.09%	0.13%	0.05%	0.18%	0.21%	0.15%
22	0.09%	0.13%	0.05%	0.19%	0.23%	0.16%
23	0.09%	0.12%	0.05%	0.2%	0.24%	0.17%
24	0.09%	0.12%	0.05%	0.21%	0.25%	0.18%
25	0.09%	0.12%	0.05%	0.23%	0.26%	0.2%
26	0.09%	0.12%	0.05%	0.24%	0.27%	0.21%
27	0.09%	0.12%	0.06%	0.25%	0.28%	0.22%
28	0.09%	0.12%	0.06%	0.26%	0.29%	0.23%
29	0.09%	0.12%	0.06%	0.28%	0.3%	0.25%
30	0.1%	0.12%	0.07%	0.29%	0.32%	0.26%
31	0.1%	0.13%	0.07%	0.3%	0.33%	0.27%
32	0.1%	0.13%	0.07%	0.32%	0.35%	0.29%
33	0.11%	0.13%	0.08%	0.34%	0.37%	0.31%
34	0.11%	0.14%	0.08%	0.36%	0.4%	0.33%
35	0.12%	0.15%	0.09%	0.39%	0.42%	0.35%
36	0.13%	0.15%	0.1%	0.41%	0.45%	0.37%
37	0.13%	0.16%	0.11%	0.44%	0.48%	0.39%
38	0.14%	0.17%	0.12%	0.46%	0.51%	0.42%
39	0.15%	0.18%	0.12%	0.49%	0.54%	0.44%
40	0.16%	0.19%	0.13%	0.53%	0.58%	0.47%
41	0.17%	0.2%	0.14%	0.55%	0.61%	0.49%
42	0.18%	0.21%	0.15%	0.59%	0.66%	0.52%
43	0.2%	0.23%	0.17%	0.62%	0.7%	0.55%
44	0.22%	0.25%	0.18%	0.66%	0.74%	0.58%
45	0.24%	0.28%	0.2%	0.71%	0.8%	0.62%
46	0.26%	0.31%	0.22%	0.75%	0.85%	0.65%
47	0.29%	0.34%	0.24%	0.8%	0.91%	0.69%
48	0.32%	0.37%	0.26%	0.86%	0.98%	0.74%
49	0.35%	0.41%	0.28%	0.92%	1.05%	0.79%
50	0.38%	0.45%	0.3%	0.99%	1.14%	0.85%
51	0.41%	0.5%	0.33%	1.05%	1.21%	0.9%
52	0.45%	0.55%	0.36%	1.13%	1.3%	0.96%
53	0.49%	0.6%	0.39%	1.2%	1.39%	1.02%
54	0.54%	0.66%	0.42%	1.28%	1.48%	1.09%
55	0.6%	0.74%	0.47%	1.36%	1.58%	1.15%
56	0.66%	0.81%	0.51%	1.46%	1.69%	1.23%
57	0.73%	0.9%	0.56%	1.55%	1.81%	1.31%
58	0.8%	1%	0.62%	1.67%	1.95%	1.42%
59	0.88%	1.1%	0.68%	1.8%	2.1%	1.52%
60	0.97%	1.21%	0.74%	1.97%	2.3%	1.66%
61	1.06%	1.33%	0.81%	2.1%	2.45%	1.78%
62	1.16%	1.46%	0.88%	2.3%	2.67%	1.95%
63	1.27%	1.6%	0.96%	2.48%	2.88%	2.11%
64	1.39%	1.76%	1.04%	2.69%	3.11%	2.3%
65	1.51%	1.93%	1.13%	2.92%	3.36%	2.51%
66	1.64%	2.11%	1.22%	3.16%	3.64%	2.72%
67	1.79%	2.31%	1.32%	3.46%	3.98%	2.99%
68	1.94%	2.51%	1.43%	3.78%	4.34%	3.29%
69	2.1%	2.72%	1.56%	4.12%	4.73%	3.6%
70	2.27%	2.94%	1.7%	4.56%	5.21%	4.02%
71	2.45%	3.17%	1.85%	4.94%	5.62%	4.37%
72	2.66%	3.43%	2.02%	5.46%	6.19%	4.87%
73	2.88%	3.71%	2.21%	5.97%	6.72%	5.35%
74	3.13%	4.04%	2.42%	6.53%	7.31%	5.89%
75	3.42%	4.4%	2.67%	7.14%	7.95%	6.49%
76	3.76%	4.83%	2.95%	7.77%	8.6%	7.12%
77	4.15%	5.33%	3.29%	8.45%	9.29%	7.79%
78	4.6%	5.91%	3.68%	9.25%	10.1%	8.58%
79	5.13%	6.56%	4.15%	10%	10.9%	9.38%
80	5.71%	7.27%	4.68%	11%	11.9%	10.4%
81	6.34%	8.02%	5.27%	11.8%	12.7%	11.2%
82	7.01%	8.8%	5.92%	12.9%	13.7%	12.3%
83	7.71%	9.59%	6.61%	14%	14.7%	13.4%
84	8.44%	10.4%	7.36%	15.2%	15.8%	14.7%
85	9.21%	11.2%	8.16%	16.3%	16.9%	15.9%
86	10.1%	12%	9.04%	17.6%	18.1%	17.3%
87	11%	13%	10%	18.9%	19.2%	18.6%
88	12.1%	14%	11.2%	20.2%	20.5%	20.1%
89	13.2%	15.1%	12.4%	21.6%	21.7%	21.6%
90	14.5%	16.4%	13.7%	23.2%	23.1%	23.3%
91	15.8%	17.7%	15%	24.6%	24.3%	24.7%
92	17%	19.1%	16.3%	26.3%	25.8%	26.6%
93	18.3%	20.5%	17.6%	27.9%	27.3%	28.3%
94	19.8%	22%	19.1%	29.6%	28.8%	30.1%
95	21.4%	23.4%	20.8%	31.4%	30.3%	32%
96	23.1%	25%	22.6%	33%	31.7%	33.9%
97	24.9%	26.7%	24.4%	34.7%	33.1%	35.7%
98	26.7%	28.3%	26.3%	36.2%	34.3%	37.4%
99	28.6%	30%	28.2%	38.1%	36.1%	39.4%
100	30.3%	31.7%	30%	39.7%	37.3%	41.2%

Death rate by age in Argentina compared to the Congo

In Argentina, the most common age of death is 84, compared to 78 in the Congo. The median age of death is 81.2 in Argentina and 71.7 in the Congo — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Argentina			Congo
	Total	Male	Female	Total	Male	Female
0	870	895	844	2,735	3,048	2,416
1	43.5	38.6	48.6	444	434	455
2	34.8	32.5	37.3	276.1	274.8	277.4
3	28.2	27.4	28.9	190.4	192.6	188.2
4	23.1	23.3	22.9	138.5	141.6	135.3
5	19.3	20	18.6	106.1	109.2	102.8
6	16.7	17.5	15.8	89.3	93.3	85.1
7	14.9	15.6	14.1	78.6	83	74
8	13.9	14.4	13.3	70.3	74.6	65.8
9	13.6	14	13.3	65	69	60.8
10	14.2	14.4	14	62.4	66.5	58.2
11	15.8	15.9	15.6	62.3	66.9	57.5
12	18.6	19.1	18	64.6	69.3	59.7
13	23	24.5	21.4	69.8	74.8	64.6
14	29.6	33.4	25.6	78.2	84.5	71.8
15	38.9	46.7	30.6	90.2	98.2	82
16	50.5	64.4	35.9	104.4	116.1	92.4
17	63.5	85.1	40.8	120.1	136.4	103.4
18	75.2	104.2	44.4	136.8	158.3	114.8
19	83.6	118.4	46.7	149.6	173.8	125
20	87.5	125.2	47.7	161.8	187.9	135.3
21	88.1	126.3	48	172	200.5	143
22	87.2	124.3	48.2	182.8	212	153.2
23	86	121.6	48.7	192.8	221.7	163.4
24	85.4	119.4	49.7	202.3	230.2	173.9
25	85.7	118.3	51.4	211.9	238.8	184.5
26	86.5	118.1	53.5	222	247.1	196.3
27	87.9	118.4	55.9	232.9	257	208.3
28	89.4	119	58.5	244.1	267.9	219.8
29	91.3	119.9	61.3	256.3	279.6	232.5
30	93.5	121.3	64.4	270.4	294.4	245.9
31	96.2	123.2	67.9	281.2	306	255.7
32	99.7	126.1	72.1	298.8	324	272.7
33	104.2	130.1	77.1	315	342	287.7
34	109.7	135.2	83.1	333	362	304
35	116.1	141.2	89.8	354	384	324
36	123	147.8	97.1	374	405	342
37	130.4	155	104.8	395	429	360
38	138.1	162.5	112.6	419	456	381
39	146.1	170.6	120.5	441	481	401
40	154.8	179.7	128.9	469	513	424
41	164.7	190.4	138	490	537	442
42	176.5	203.6	148.4	521	572	467
43	190.7	219.9	160.4	547	603	489
44	207.6	239.8	174.4	577	639	513
45	227.3	263.1	190.2	613	681	543
46	249.5	289.7	207.7	646	719	569
47	273.6	319	226.6	684	764	602
48	299.4	351	246.4	728	815	640
49	327	384	267.1	773	866	677
50	356	420	288.9	827	929	724
51	387	460	312	865	973	754
52	421	503	338	922	1,037	805
53	460	551	367	968	1,091	843
54	503	606	399	1,020	1,150	888
55	551	666	436	1,073	1,210	934
56	604	732	477	1,129	1,272	986
57	662	803	521	1,188	1,338	1,038
58	725	879	570	1,261	1,417	1,104
59	791	960	621	1,332	1,495	1,169
60	860	1,044	676	1,431	1,600	1,259
61	934	1,134	733	1,498	1,669	1,323
62	1,011	1,230	791	1,602	1,775	1,424
63	1,092	1,332	852	1,692	1,863	1,514
64	1,177	1,439	915	1,787	1,953	1,611
65	1,264	1,551	980	1,888	2,046	1,719
66	1,355	1,665	1,049	1,986	2,142	1,820
67	1,448	1,779	1,123	2,100	2,252	1,942
68	1,542	1,889	1,203	2,220	2,361	2,075
69	1,637	1,996	1,289	2,329	2,459	2,199
70	1,733	2,099	1,382	2,470	2,580	2,364
71	1,833	2,201	1,482	2,552	2,642	2,467
72	1,935	2,304	1,588	2,683	2,743	2,628
73	2,042	2,409	1,701	2,771	2,798	2,746
74	2,157	2,520	1,823	2,852	2,837	2,866
75	2,282	2,639	1,957	2,914	2,858	2,969
76	2,421	2,770	2,109	2,946	2,847	3,045
77	2,573	2,909	2,280	2,953	2,813	3,094
78	2,737	3,050	2,471	2,959	2,775	3,145
79	2,907	3,184	2,680	2,914	2,687	3,141
80	3,071	3,297	2,897	2,878	2,613	3,143
81	3,217	3,377	3,113	2,752	2,457	3,047
82	3,332	3,408	3,311	2,649	2,323	2,977
83	3,407	3,385	3,480	2,497	2,150	2,847
84	3,441	3,311	3,615	2,328	1,971	2,690
85	3,440	3,198	3,715	2,127	1,772	2,490
86	3,409	3,058	3,780	1,917	1,572	2,273
87	3,353	2,897	3,816	1,695	1,371	2,029
88	3,272	2,721	3,816	1,474	1,178	1,780
89	3,153	2,532	3,756	1,256	993	1,528
90	2,995	2,325	3,638	1,057	830	1,293
91	2,796	2,101	3,455	859	670	1,055
92	2,544	1,868	3,183	693	539	852
93	2,271	1,625	2,877	543	423	667
94	2,001	1,381	2,575	415	324	509
95	1,735	1,149	2,268	310	243.1	378
96	1,475	939	1,955	223.9	177.5	271.7
97	1,219	750	1,634	157.3	126.3	189.1
98	982	585	1,328	107.3	87.8	127.6
99	770	445	1,051	72	60.6	84.2
100	510	244.8	729	0	2.64	0

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 the Congo 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 Congo: Statistical Insights

By topic vs comparisons:

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