Life Expectancy in Congo vs Italy (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

Italy

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			Italy
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	102.1	101.9	102.1
99	101	101	101	101.2	101	101.3
98	100.1	100.2	100.1	100.4	100.2	100.5
97	99.2	99.3	99.1	99.6	99.3	99.7
96	98.3	98.4	98.2	98.8	98.5	98.9
95	97.4	97.5	97.4	98	97.7	98.2
94	96.6	96.7	96.5	97.3	97	97.4
93	95.7	95.8	95.7	96.6	96.2	96.8
92	94.9	94.9	94.8	95.9	95.5	96.1
91	94	94.1	94	95.2	94.8	95.5
90	93.2	93.3	93.2	94.6	94.1	94.9
89	92.4	92.5	92.4	94	93.4	94.3
88	91.6	91.6	91.6	93.4	92.8	93.7
87	90.9	90.9	90.9	92.9	92.2	93.3
86	90.1	90.1	90.1	92.4	91.7	92.8
85	89.3	89.3	89.4	91.9	91.2	92.4
84	88.6	88.5	88.7	91.4	90.7	92
83	87.9	87.8	88	91	90.2	91.6
82	87.2	87.1	87.3	90.6	89.8	91.2
81	86.5	86.4	86.7	90.3	89.4	90.9
80	85.9	85.7	86	89.9	89	90.7
79	85.2	85	85.4	89.6	88.6	90.4
78	84.6	84.3	84.8	89.3	88.3	90.1
77	84	83.7	84.3	89.1	88	89.9
76	83.4	83.1	83.7	88.8	87.7	89.7
75	82.9	82.5	83.2	88.5	87.4	89.5
74	82.3	81.9	82.7	88.3	87.1	89.3
73	81.8	81.3	82.2	88.1	86.8	89.2
72	81.3	80.8	81.7	87.9	86.6	89
71	80.8	80.3	81.3	87.7	86.3	88.8
70	80.3	79.8	80.8	87.5	86.1	88.7
69	79.9	79.3	80.4	87.3	85.9	88.5
68	79.5	78.8	80	87.1	85.7	88.4
67	79.1	78.4	79.7	87	85.5	88.3
66	78.7	77.9	79.3	86.8	85.3	88.2
65	78.3	77.5	79	86.7	85.1	88.1
64	77.9	77.1	78.6	86.5	84.9	87.9
63	77.6	76.7	78.3	86.4	84.8	87.8
62	77.2	76.4	78	86.3	84.6	87.8
61	76.9	76	77.7	86.1	84.5	87.7
60	76.6	75.6	77.4	86	84.3	87.6
59	76.3	75.3	77.2	85.9	84.2	87.5
58	76	75	76.9	85.8	84.1	87.4
57	75.7	74.7	76.7	85.7	84	87.3
56	75.4	74.4	76.4	85.6	83.9	87.3
55	75.1	74.1	76.2	85.6	83.8	87.2
54	74.9	73.8	75.9	85.5	83.7	87.1
53	74.6	73.5	75.7	85.4	83.6	87.1
52	74.4	73.2	75.5	85.3	83.5	87
51	74.1	73	75.3	85.3	83.4	87
50	73.9	72.7	75.1	85.2	83.4	86.9
49	73.7	72.5	74.9	85.2	83.3	86.9
48	73.5	72.2	74.7	85.1	83.2	86.9
47	73.3	72	74.5	85.1	83.2	86.8
46	73.1	71.8	74.3	85	83.1	86.8
45	72.9	71.6	74.1	85	83.1	86.7
44	72.7	71.4	74	84.9	83.1	86.7
43	72.5	71.2	73.8	84.9	83	86.7
42	72.3	71	73.7	84.9	83	86.7
41	72.2	70.9	73.5	84.9	82.9	86.6
40	72	70.7	73.3	84.8	82.9	86.6
39	71.9	70.5	73.2	84.8	82.9	86.6
38	71.7	70.4	73.1	84.8	82.8	86.6
37	71.6	70.2	72.9	84.8	82.8	86.6
36	71.4	70.1	72.8	84.7	82.8	86.6
35	71.3	69.9	72.7	84.7	82.8	86.5
34	71.2	69.8	72.5	84.7	82.7	86.5
33	71	69.6	72.4	84.7	82.7	86.5
32	70.9	69.5	72.3	84.7	82.7	86.5
31	70.8	69.4	72.2	84.6	82.7	86.5
30	70.7	69.3	72.1	84.6	82.7	86.5
29	70.6	69.1	72	84.6	82.6	86.5
28	70.5	69	71.9	84.6	82.6	86.5
27	70.3	68.9	71.8	84.6	82.6	86.5
26	70.2	68.8	71.7	84.6	82.6	86.4
25	70.1	68.7	71.6	84.6	82.6	86.4
24	70.1	68.6	71.5	84.5	82.5	86.4
23	70	68.5	71.5	84.5	82.5	86.4
22	69.9	68.4	71.4	84.5	82.5	86.4
21	69.8	68.3	71.3	84.5	82.5	86.4
20	69.7	68.2	71.2	84.5	82.5	86.4
19	69.6	68.1	71.2	84.5	82.4	86.4
18	69.6	68	71.1	84.5	82.4	86.4
17	69.5	68	71.1	84.4	82.4	86.4
16	69.4	67.9	71	84.4	82.4	86.4
15	69.4	67.8	71	84.4	82.4	86.4
14	69.3	67.8	70.9	84.4	82.4	86.4
13	69.3	67.8	70.9	84.4	82.4	86.4
12	69.3	67.7	70.8	84.4	82.4	86.3
11	69.2	67.7	70.8	84.4	82.4	86.3
10	69.2	67.6	70.8	84.4	82.4	86.3
9	69.2	67.6	70.7	84.4	82.4	86.3
8	69.1	67.5	70.7	84.4	82.3	86.3
7	69.1	67.5	70.6	84.4	82.3	86.3
6	69	67.4	70.6	84.4	82.3	86.3
5	68.9	67.4	70.5	84.4	82.3	86.3
4	68.8	67.3	70.4	84.4	82.3	86.3
3	68.7	67.2	70.3	84.4	82.3	86.3
2	68.5	67	70.1	84.4	82.3	86.3
1	68.2	66.7	69.8	84.4	82.3	86.3
0	66.4	64.7	68.2	84.2	82.1	86.1

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 the Congo can expect to live to 70.7 years compared to 84.6 in Italy, rising to 78.3 and 86.7 at 65, and to 85.9 and 89.9 at 80 — higher than the 66.4 and 84.2 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in the Congo and Italy.

Probability of surviving to a given age

Chart Table

Congo

Male

Female

Italy

Male

Female

1x

Age	Survival probability
	Congo			Italy
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	2.7%	1.41%	3.78%
99	0.19%	0.17%	0.22%	4.03%	2.2%	5.57%
98	0.3%	0.26%	0.35%	5.79%	3.32%	7.88%
97	0.46%	0.39%	0.54%	8.03%	4.83%	10.8%
96	0.69%	0.57%	0.82%	10.8%	6.77%	14.2%
95	1.01%	0.81%	1.2%	14%	9.18%	18.2%
94	1.43%	1.14%	1.72%	17.7%	12.1%	22.6%
93	1.98%	1.57%	2.4%	21.7%	15.4%	27.4%
92	2.68%	2.12%	3.27%	26.1%	19.2%	32.4%
91	3.55%	2.8%	4.34%	30.8%	23.3%	37.6%
90	4.63%	3.64%	5.65%	35.6%	27.7%	42.8%
89	5.9%	4.65%	7.2%	40.4%	32.2%	47.9%
88	7.39%	5.84%	9%	45.1%	36.9%	52.8%
87	9.11%	7.23%	11.1%	49.7%	41.4%	57.4%
86	11%	8.81%	13.3%	54%	45.9%	61.7%
85	13.2%	10.6%	15.9%	58%	50.1%	65.5%
84	15.5%	12.6%	18.6%	61.7%	54.1%	69%
83	18.1%	14.8%	21.5%	65.1%	57.8%	72.2%
82	20.7%	17.1%	24.5%	68.2%	61.2%	75%
81	23.5%	19.6%	27.5%	71%	64.4%	77.5%
80	26.4%	22.2%	30.7%	73.6%	67.3%	79.6%
79	29.3%	24.9%	33.8%	75.9%	70%	81.5%
78	32.3%	27.7%	37%	77.9%	72.4%	83.2%
77	35.3%	30.5%	40.1%	79.8%	74.6%	84.8%
76	38.2%	33.4%	43.2%	81.5%	76.7%	86.1%
75	41.2%	36.3%	46.2%	83%	78.6%	87.3%
74	44%	39.1%	49%	84.4%	80.4%	88.4%
73	46.8%	41.9%	51.8%	85.7%	82%	89.4%
72	49.5%	44.7%	54.4%	86.9%	83.5%	90.3%
71	52.1%	47.3%	56.9%	88%	84.9%	91.1%
70	54.5%	49.9%	59.3%	89%	86.1%	91.9%
69	56.9%	52.4%	61.5%	89.9%	87.2%	92.5%
68	59.1%	54.8%	63.5%	90.7%	88.3%	93.1%
67	61.2%	57%	65.5%	91.5%	89.3%	93.7%
66	63.2%	59.1%	67.3%	92.2%	90.2%	94.2%
65	65.1%	61.2%	69%	92.8%	91%	94.7%
64	66.9%	63.1%	70.6%	93.4%	91.7%	95.1%
63	68.5%	65%	72.1%	94%	92.4%	95.5%
62	70.1%	66.8%	73.6%	94.5%	93.1%	95.9%
61	71.6%	68.4%	74.9%	94.9%	93.7%	96.2%
60	73.1%	70%	76.1%	95.4%	94.2%	96.5%
59	74.4%	71.5%	77.3%	95.7%	94.7%	96.8%
58	75.6%	72.9%	78.4%	96.1%	95.1%	97.1%
57	76.8%	74.3%	79.4%	96.4%	95.5%	97.3%
56	77.9%	75.5%	80.4%	96.7%	95.9%	97.5%
55	79%	76.7%	81.3%	97%	96.2%	97.7%
54	80%	77.9%	82.2%	97.2%	96.5%	97.9%
53	81%	79%	83%	97.4%	96.8%	98.1%
52	81.9%	80%	83.8%	97.6%	97.1%	98.2%
51	82.8%	81%	84.6%	97.8%	97.3%	98.4%
50	83.6%	81.9%	85.3%	98%	97.5%	98.5%
49	84.3%	82.8%	86%	98.1%	97.7%	98.6%
48	85.1%	83.6%	86.6%	98.3%	97.8%	98.7%
47	85.7%	84.3%	87.2%	98.4%	98%	98.8%
46	86.4%	85%	87.8%	98.5%	98.1%	98.9%
45	87%	85.7%	88.3%	98.6%	98.2%	99%
44	87.6%	86.3%	88.8%	98.7%	98.3%	99%
43	88.1%	86.9%	89.3%	98.8%	98.4%	99.1%
42	88.6%	87.5%	89.7%	98.8%	98.5%	99.2%
41	89.1%	88%	90.2%	98.9%	98.6%	99.2%
40	89.5%	88.5%	90.6%	99%	98.7%	99.3%
39	90%	89%	91%	99%	98.8%	99.3%
38	90.4%	89.5%	91.4%	99.1%	98.8%	99.3%
37	90.8%	89.9%	91.7%	99.1%	98.9%	99.4%
36	91.1%	90.3%	92%	99.2%	98.9%	99.4%
35	91.5%	90.6%	92.4%	99.2%	99%	99.4%
34	91.8%	91%	92.6%	99.2%	99%	99.5%
33	92.1%	91.3%	92.9%	99.3%	99.1%	99.5%
32	92.4%	91.7%	93.2%	99.3%	99.1%	99.5%
31	92.7%	92%	93.4%	99.3%	99.2%	99.5%
30	93%	92.2%	93.7%	99.4%	99.2%	99.5%
29	93.2%	92.5%	93.9%	99.4%	99.2%	99.5%
28	93.4%	92.8%	94.1%	99.4%	99.3%	99.6%
27	93.7%	93%	94.3%	99.4%	99.3%	99.6%
26	93.9%	93.3%	94.5%	99.5%	99.4%	99.6%
25	94.1%	93.5%	94.7%	99.5%	99.4%	99.6%
24	94.3%	93.7%	94.9%	99.5%	99.4%	99.6%
23	94.5%	94%	95%	99.5%	99.5%	99.6%
22	94.7%	94.2%	95.2%	99.6%	99.5%	99.6%
21	94.8%	94.4%	95.3%	99.6%	99.5%	99.7%
20	95%	94.5%	95.4%	99.6%	99.6%	99.7%
19	95.1%	94.7%	95.6%	99.6%	99.6%	99.7%
18	95.3%	94.9%	95.7%	99.7%	99.6%	99.7%
17	95.4%	95%	95.8%	99.7%	99.6%	99.7%
16	95.5%	95.1%	95.9%	99.7%	99.7%	99.7%
15	95.6%	95.2%	95.9%	99.7%	99.7%	99.7%
14	95.7%	95.3%	96%	99.7%	99.7%	99.7%
13	95.7%	95.4%	96.1%	99.7%	99.7%	99.7%
12	95.8%	95.4%	96.1%	99.7%	99.7%	99.7%
11	95.8%	95.5%	96.2%	99.7%	99.7%	99.7%
10	95.9%	95.6%	96.2%	99.7%	99.7%	99.7%
9	96%	95.6%	96.3%	99.7%	99.7%	99.8%
8	96%	95.7%	96.4%	99.7%	99.7%	99.8%
7	96.1%	95.8%	96.4%	99.7%	99.7%	99.8%
6	96.2%	95.9%	96.5%	99.7%	99.7%	99.8%
5	96.3%	96%	96.6%	99.8%	99.7%	99.8%
4	96.4%	96.1%	96.8%	99.8%	99.7%	99.8%
3	96.6%	96.3%	96.9%	99.8%	99.8%	99.8%
2	96.9%	96.6%	97.2%	99.8%	99.8%	99.8%
1	97.3%	97%	97.7%	99.8%	99.8%	99.8%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 95.4% in Italy are expected to live past 60, 54.5% and 89% past 70, 26.4% and 73.6% past 80, and only 4.63% and 35.6% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Congo

Male

Female

Italy

Male

Female

1x

Age	Probability of dying
	Congo			Italy
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	35.3%	38.6%	34.5%
99	38%	36.1%	39.4%	32.9%	36.1%	32%
98	36.2%	34.3%	37.4%	30.4%	33.7%	29.4%
97	34.6%	33.1%	35.6%	27.9%	31.2%	26.8%
96	33%	31.7%	33.8%	25.4%	28.7%	24.3%
95	31.3%	30.3%	32%	23.1%	26.2%	21.9%
94	29.6%	28.8%	30.1%	20.8%	23.9%	19.5%
93	27.9%	27.3%	28.2%	18.7%	21.7%	17.4%
92	26.2%	25.8%	26.5%	16.8%	19.6%	15.5%
91	24.5%	24.3%	24.7%	15.1%	17.7%	13.8%
90	23.2%	23.1%	23.2%	13.5%	15.9%	12.2%
89	21.6%	21.6%	21.5%	12%	14.2%	10.7%
88	20.2%	20.4%	20%	10.5%	12.5%	9.26%
87	18.8%	19.2%	18.6%	9.15%	11%	7.97%
86	17.6%	18%	17.2%	7.99%	9.68%	6.87%
85	16.3%	16.9%	15.9%	6.95%	8.46%	5.91%
84	15.1%	15.8%	14.6%	6.02%	7.37%	5.07%
83	13.9%	14.7%	13.4%	5.23%	6.42%	4.36%
82	12.9%	13.7%	12.3%	4.54%	5.61%	3.74%
81	11.8%	12.6%	11.2%	3.95%	4.93%	3.2%
80	11%	11.8%	10.3%	3.44%	4.32%	2.73%
79	9.99%	10.9%	9.34%	3%	3.79%	2.35%
78	9.21%	10.1%	8.55%	2.63%	3.34%	2.04%
77	8.41%	9.26%	7.75%	2.33%	2.99%	1.78%
76	7.74%	8.57%	7.08%	2.08%	2.69%	1.57%
75	7.11%	7.91%	6.46%	1.87%	2.43%	1.39%
74	6.5%	7.28%	5.86%	1.69%	2.2%	1.25%
73	5.94%	6.7%	5.32%	1.52%	1.99%	1.12%
72	5.43%	6.16%	4.84%	1.37%	1.79%	1%
71	4.91%	5.6%	4.34%	1.23%	1.61%	0.9%
70	4.54%	5.18%	3.99%	1.11%	1.44%	0.8%
69	4.1%	4.7%	3.58%	1%	1.31%	0.72%
68	3.76%	4.32%	3.27%	0.91%	1.2%	0.65%
67	3.44%	3.95%	2.97%	0.84%	1.1%	0.59%
66	3.14%	3.62%	2.7%	0.76%	0.99%	0.55%
65	2.9%	3.34%	2.49%	0.69%	0.9%	0.5%
64	2.67%	3.09%	2.28%	0.64%	0.82%	0.46%
63	2.46%	2.86%	2.09%	0.58%	0.75%	0.41%
62	2.28%	2.65%	1.93%	0.53%	0.68%	0.38%
61	2.08%	2.43%	1.76%	0.48%	0.62%	0.35%
60	1.95%	2.28%	1.65%	0.44%	0.57%	0.32%
59	1.78%	2.08%	1.5%	0.4%	0.51%	0.29%
58	1.66%	1.93%	1.4%	0.36%	0.47%	0.27%
57	1.54%	1.79%	1.3%	0.33%	0.42%	0.24%
56	1.44%	1.68%	1.22%	0.3%	0.38%	0.22%
55	1.35%	1.57%	1.14%	0.27%	0.34%	0.21%
54	1.27%	1.47%	1.07%	0.25%	0.31%	0.19%
53	1.19%	1.37%	1.01%	0.23%	0.28%	0.17%
52	1.12%	1.29%	0.95%	0.2%	0.26%	0.16%
51	1.04%	1.19%	0.88%	0.19%	0.23%	0.14%
50	0.98%	1.12%	0.84%	0.17%	0.21%	0.13%
49	0.91%	1.04%	0.78%	0.15%	0.18%	0.12%
48	0.85%	0.97%	0.73%	0.14%	0.17%	0.11%
47	0.79%	0.9%	0.68%	0.12%	0.15%	0.1%
46	0.74%	0.84%	0.64%	0.11%	0.14%	0.09%
45	0.7%	0.79%	0.61%	0.1%	0.13%	0.08%
44	0.65%	0.73%	0.57%	0.09%	0.11%	0.07%
43	0.61%	0.69%	0.54%	0.08%	0.1%	0.06%
42	0.58%	0.65%	0.51%	0.07%	0.09%	0.06%
41	0.54%	0.6%	0.48%	0.07%	0.09%	0.05%
40	0.52%	0.57%	0.46%	0.06%	0.08%	0.05%
39	0.48%	0.53%	0.43%	0.06%	0.07%	0.04%
38	0.45%	0.5%	0.41%	0.05%	0.06%	0.04%
37	0.43%	0.47%	0.38%	0.05%	0.06%	0.03%
36	0.4%	0.44%	0.36%	0.04%	0.05%	0.03%
35	0.38%	0.42%	0.34%	0.04%	0.05%	0.03%
34	0.36%	0.39%	0.32%	0.04%	0.05%	0.02%
33	0.33%	0.37%	0.3%	0.03%	0.05%	0.02%
32	0.32%	0.35%	0.29%	0.03%	0.04%	0.02%
31	0.3%	0.33%	0.27%	0.03%	0.04%	0.02%
30	0.28%	0.31%	0.26%	0.03%	0.04%	0.02%
29	0.27%	0.3%	0.24%	0.03%	0.04%	0.02%
28	0.26%	0.28%	0.23%	0.03%	0.04%	0.02%
27	0.24%	0.27%	0.21%	0.03%	0.04%	0.02%
26	0.23%	0.26%	0.2%	0.03%	0.04%	0.02%
25	0.22%	0.25%	0.19%	0.03%	0.04%	0.02%
24	0.21%	0.24%	0.18%	0.02%	0.04%	0.01%
23	0.2%	0.23%	0.17%	0.02%	0.03%	0.01%
22	0.19%	0.22%	0.16%	0.02%	0.03%	0.01%
21	0.18%	0.21%	0.15%	0.02%	0.03%	0.01%
20	0.17%	0.19%	0.14%	0.02%	0.03%	0.01%
19	0.15%	0.18%	0.13%	0.02%	0.03%	0.01%
18	0.14%	0.16%	0.12%	0.02%	0.03%	0.01%
17	0.12%	0.14%	0.1%	0.02%	0.02%	0.01%
16	0.11%	0.12%	0.09%	0.01%	0.02%	0.009%
15	0.09%	0.1%	0.08%	0.01%	0.01%	0.008%
14	0.08%	0.09%	0.07%	0.009%	0.01%	0.007%
13	0.07%	0.08%	0.07%	0.007%	0.008%	0.006%
12	0.07%	0.07%	0.06%	0.006%	0.007%	0.005%
11	0.06%	0.07%	0.06%	0.006%	0.006%	0.005%
10	0.06%	0.07%	0.06%	0.006%	0.006%	0.005%
9	0.07%	0.07%	0.06%	0.005%	0.006%	0.004%
8	0.07%	0.08%	0.07%	0.005%	0.006%	0.004%
7	0.08%	0.09%	0.07%	0.005%	0.005%	0.004%
6	0.09%	0.1%	0.09%	0.005%	0.005%	0.005%
5	0.11%	0.11%	0.1%	0.005%	0.006%	0.005%
4	0.14%	0.15%	0.14%	0.006%	0.007%	0.006%
3	0.19%	0.2%	0.19%	0.007%	0.008%	0.006%
2	0.28%	0.28%	0.28%	0.007%	0.008%	0.007%
1	0.44%	0.44%	0.45%	0.02%	0.02%	0.02%
0	2.67%	2.99%	2.35%	0.21%	0.22%	0.19%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 0.21% in Italy, 0.28% vs 0.03% at age 30, 1.95% vs 0.44% at 60, and 11% vs 3.44% at 80.

Death rate by age in Congo vs Italy

Chart Table

Congo

Male

Female

Italy

Male

Female

1x

Age	Death rate
	Congo			Italy
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	823	339	1,226
99	73.5	61.5	86.1	1,326	795	1,783
98	109.4	89.1	130.4	1,758	1,118	2,319
97	160.2	128.3	193.1	2,238	1,507	2,892
96	227.9	180.2	277	2,738	1,944	3,460
95	315	246.7	385	3,225	2,407	3,981
94	422	329	518	3,673	2,883	4,420
93	552	429	678	4,066	3,342	4,765
92	704	547	865	4,388	3,752	5,017
91	872	679	1,070	4,640	4,111	5,179
90	1,072	841	1,311	4,795	4,395	5,221
89	1,273	1,006	1,549	4,834	4,577	5,128
88	1,492	1,193	1,802	4,737	4,625	4,892
87	1,715	1,387	2,053	4,547	4,565	4,575
86	1,939	1,590	2,297	4,315	4,441	4,236
85	2,150	1,791	2,515	4,030	4,239	3,871
84	2,351	1,991	2,715	3,718	3,985	3,501
83	2,519	2,170	2,871	3,406	3,709	3,148
82	2,671	2,343	3,001	3,101	3,435	2,806
81	2,773	2,477	3,069	2,808	3,173	2,476
80	2,898	2,633	3,165	2,530	2,912	2,174
79	2,932	2,706	3,161	2,275	2,654	1,918
78	2,977	2,793	3,163	2,048	2,420	1,698
77	2,969	2,829	3,109	1,859	2,230	1,508
76	2,960	2,862	3,058	1,697	2,065	1,347
75	2,926	2,871	2,980	1,556	1,913	1,216
74	2,861	2,849	2,875	1,428	1,767	1,103
73	2,778	2,808	2,754	1,307	1,628	1,001
72	2,690	2,752	2,634	1,192	1,493	906
71	2,558	2,649	2,472	1,084	1,365	817
70	2,476	2,586	2,367	984	1,244	735
69	2,334	2,463	2,201	899	1,143	664
68	2,223	2,365	2,075	828	1,061	604
67	2,103	2,254	1,942	764	981	555
66	1,986	2,143	1,819	701	894	515
65	1,886	2,046	1,717	643	815	477
64	1,784	1,953	1,609	594	757	436
63	1,689	1,862	1,510	544	697	395
62	1,598	1,773	1,420	497	637	360
61	1,493	1,666	1,319	458	584	334
60	1,426	1,596	1,254	421	533	311
59	1,327	1,491	1,163	385	485	285.4
58	1,255	1,411	1,098	350	443	260
57	1,182	1,332	1,032	321	405	237.7
56	1,123	1,266	980	292.8	368	218.2
55	1,067	1,204	927	265.2	331	200.4
54	1,014	1,144	881	240.3	298.2	183.2
53	962	1,084	836	219.6	272.7	166.6
52	915	1,030	797	200.1	247.9	152.4
51	857	966	747	181.5	223.5	139.4
50	820	921	716	163.7	200.6	126.5
49	765	859	669	147.8	180.6	114.7
48	721	807	631	134.3	163.9	104.3
47	676	757	593	122.5	149.9	94.8
46	638	712	561	111.5	137.2	85.4
45	605	673	534	100.6	124.2	76.6
44	569	631	505	89.9	110.6	68.8
43	539	596	481	80.6	99.1	61.8
42	513	565	459	73.5	91.2	55.5
41	482	529	434	67.1	83.9	50
40	461	506	416	61	76.2	45.5
39	434	474	393	55.5	68.6	42.1
38	411	448	373	50.3	61.9	38.6
37	387	422	352	46	57.2	34.5
36	367	399	334	42.3	53.7	30.4
35	347	377	316	39.2	50.8	27
34	326	355	296.8	36.7	48.4	24.3
33	308	336	280.5	34.7	46.3	22.3
32	292.4	319	265.8	32.7	44.4	20.3
31	275.1	301	249.1	30.5	42	18.2
30	264.4	288.9	239.4	28.4	39.1	16.8
29	250.5	274.3	226.3	27	37.1	15.9
28	238.5	262.8	213.9	26.6	36.7	15.2
27	227.6	252.1	202.6	26.7	37.1	15
26	216.8	242.3	190.8	26.7	36.9	15.5
25	206.9	234.1	179.3	26.1	36.1	15.3
24	197.6	225.7	169	24.6	35.2	13.4
23	188.3	217.3	158.7	23.7	34.6	12.1
22	178.5	207.8	148.7	24	34.7	12.8
21	168	196.6	138.8	24	34.2	13.3
20	158	184.2	131.3	22.5	32.5	11.9
19	146.1	170.3	121.4	21.4	31.1	11.1
18	133.5	155.1	111.4	19.8	28.5	10.6
17	117.2	133.7	100.4	17	23.7	9.83
16	101.9	113.8	89.7	13.7	18.3	8.79
15	88	96.3	79.6	10.9	13.8	7.8
14	76.3	82.8	69.7	8.59	10.3	6.75
13	68.1	73.3	62.8	6.87	7.94	5.73
12	63	68	58	5.85	6.64	5.02
11	60.8	65.6	55.9	5.63	6.4	4.82
10	61	65.2	56.6	5.6	6.4	4.74
9	63.5	67.8	59.1	5.23	5.98	4.44
8	68.7	73.3	64	4.88	5.54	4.17
7	76.9	81.7	72	4.69	5.21	4.14
6	87.5	91.9	82.9	4.8	5.09	4.49
5	104	107.7	100.1	5.32	5.51	5.13
4	135.6	139.5	131.7	6.2	6.66	5.71
3	186.3	189.4	183.1	6.79	7.54	5.99
2	269.7	269.8	269.5	7.4	8.03	6.73
1	433	425	441	18.9	19.8	17.9
0	2,669	2,985	2,347	206.6	218.2	194.3

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 the Congo, the most common age of death is 78, compared to 89 in Italy. The median age of death is 71.8 in the Congo and 86.9 in Italy, 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 the Congo and Italy more than their death rates.

Life expectancy in other countries

+ -

1x