Life Expectancy in DR Congo vs Italy (1950-2026)

Life expectancy by current age

Chart Table

DR Congo

Male

Female

Italy

Male

Female

1x

Current age, years	Total life expectancy, years
	DR Congo			Italy
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.8	102.1	101.9	102.1
99	100.8	100.7	100.9	101.2	101	101.3
98	99.9	99.8	100	100.4	100.2	100.5
97	99	98.8	99.1	99.6	99.3	99.7
96	98.1	97.9	98.2	98.8	98.5	98.9
95	97.3	97	97.3	98	97.7	98.2
94	96.4	96.2	96.5	97.3	97	97.4
93	95.5	95.3	95.7	96.6	96.2	96.8
92	94.7	94.4	94.8	95.9	95.5	96.1
91	93.9	93.6	94	95.2	94.8	95.5
90	93.1	92.8	93.3	94.6	94.1	94.9
89	92.3	92	92.5	94	93.4	94.3
88	91.5	91.2	91.7	93.4	92.8	93.7
87	90.8	90.4	91	92.9	92.2	93.3
86	90	89.7	90.2	92.4	91.7	92.8
85	89.3	89	89.5	91.9	91.2	92.4
84	88.6	88.3	88.8	91.4	90.7	92
83	87.9	87.6	88.1	91	90.2	91.6
82	87.2	86.9	87.4	90.6	89.8	91.2
81	86.5	86.2	86.8	90.3	89.4	90.9
80	85.9	85.6	86.1	89.9	89	90.7
79	85.3	84.9	85.5	89.6	88.6	90.4
78	84.7	84.3	85	89.3	88.3	90.1
77	84.1	83.7	84.4	89.1	88	89.9
76	83.6	83.2	83.9	88.8	87.7	89.7
75	83	82.6	83.4	88.5	87.4	89.5
74	82.5	82.1	82.9	88.3	87.1	89.3
73	82	81.6	82.4	88.1	86.8	89.2
72	81.5	81.1	81.9	87.9	86.6	89
71	81.1	80.6	81.5	87.7	86.3	88.8
70	80.6	80.1	81	87.5	86.1	88.7
69	80.2	79.7	80.6	87.3	85.9	88.5
68	79.8	79.2	80.3	87.1	85.7	88.4
67	79.4	78.8	79.9	87	85.5	88.3
66	79	78.4	79.5	86.8	85.3	88.2
65	78.6	78	79.2	86.7	85.1	88.1
64	78.3	77.6	78.9	86.5	84.9	87.9
63	78	77.3	78.6	86.4	84.8	87.8
62	77.6	76.9	78.3	86.3	84.6	87.8
61	77.3	76.6	78	86.1	84.5	87.7
60	77.1	76.3	77.8	86	84.3	87.6
59	76.8	76	77.5	85.9	84.2	87.5
58	76.5	75.7	77.3	85.8	84.1	87.4
57	76.3	75.4	77.1	85.7	84	87.3
56	76	75.1	76.8	85.6	83.9	87.3
55	75.8	74.9	76.6	85.6	83.8	87.2
54	75.5	74.6	76.4	85.5	83.7	87.1
53	75.3	74.3	76.2	85.4	83.6	87.1
52	75	74.1	76	85.3	83.5	87
51	74.8	73.8	75.8	85.3	83.4	87
50	74.6	73.6	75.6	85.2	83.4	86.9
49	74.4	73.3	75.4	85.2	83.3	86.9
48	74.2	73.1	75.2	85.1	83.2	86.9
47	74	72.9	75.1	85.1	83.2	86.8
46	73.8	72.7	74.9	85	83.1	86.8
45	73.6	72.5	74.7	85	83.1	86.7
44	73.4	72.3	74.5	84.9	83.1	86.7
43	73.2	72.1	74.4	84.9	83	86.7
42	73.1	71.9	74.2	84.9	83	86.7
41	72.9	71.7	74	84.9	82.9	86.6
40	72.7	71.5	73.9	84.8	82.9	86.6
39	72.5	71.3	73.7	84.8	82.9	86.6
38	72.3	71.1	73.5	84.8	82.8	86.6
37	72.2	70.9	73.4	84.8	82.8	86.6
36	72	70.7	73.2	84.7	82.8	86.6
35	71.8	70.5	73.1	84.7	82.8	86.5
34	71.7	70.3	72.9	84.7	82.7	86.5
33	71.5	70.2	72.8	84.7	82.7	86.5
32	71.3	70	72.6	84.7	82.7	86.5
31	71.1	69.8	72.5	84.6	82.7	86.5
30	71	69.6	72.3	84.6	82.7	86.5
29	70.8	69.4	72.2	84.6	82.6	86.5
28	70.6	69.2	72	84.6	82.6	86.5
27	70.5	69	71.9	84.6	82.6	86.5
26	70.3	68.8	71.8	84.6	82.6	86.4
25	70.1	68.6	71.6	84.6	82.6	86.4
24	69.9	68.4	71.5	84.5	82.5	86.4
23	69.8	68.2	71.3	84.5	82.5	86.4
22	69.6	68	71.2	84.5	82.5	86.4
21	69.4	67.8	71.1	84.5	82.5	86.4
20	69.3	67.6	70.9	84.5	82.5	86.4
19	69.1	67.4	70.8	84.5	82.4	86.4
18	69	67.2	70.7	84.5	82.4	86.4
17	68.8	67.1	70.6	84.4	82.4	86.4
16	68.7	67	70.4	84.4	82.4	86.4
15	68.6	66.8	70.3	84.4	82.4	86.4
14	68.5	66.7	70.2	84.4	82.4	86.4
13	68.4	66.6	70.1	84.4	82.4	86.4
12	68.3	66.5	70	84.4	82.4	86.3
11	68.2	66.4	69.9	84.4	82.4	86.3
10	68	66.3	69.8	84.4	82.4	86.3
9	67.9	66.1	69.7	84.4	82.4	86.3
8	67.7	65.9	69.5	84.4	82.3	86.3
7	67.5	65.7	69.4	84.4	82.3	86.3
6	67.3	65.5	69.1	84.4	82.3	86.3
5	67	65.2	68.9	84.4	82.3	86.3
4	66.7	64.9	68.6	84.4	82.3	86.3
3	66.4	64.5	68.3	84.4	82.3	86.3
2	66	64.1	67.9	84.4	82.3	86.3
1	65.5	63.6	67.4	84.4	82.3	86.3
0	62.4	60.2	64.6	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 DR Congo can expect to live to 71 years compared to 84.6 in Italy, rising to 78.6 and 86.7 at 65, and to 85.9 and 89.9 at 80 — higher than the 62.4 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 DR Congo and Italy.

Probability of surviving to a given age

Chart Table

DR Congo

Male

Female

Italy

Male

Female

1x

Age	Survival probability
	DR Congo			Italy
	Average	Male	Female	Average	Male	Female
100	0.09%	0.04%	0.14%	2.7%	1.41%	3.78%
99	0.15%	0.07%	0.23%	4.03%	2.2%	5.57%
98	0.25%	0.13%	0.37%	5.79%	3.32%	7.88%
97	0.4%	0.21%	0.58%	8.03%	4.83%	10.8%
96	0.61%	0.34%	0.88%	10.8%	6.77%	14.2%
95	0.92%	0.54%	1.3%	14%	9.18%	18.2%
94	1.34%	0.83%	1.85%	17.7%	12.1%	22.6%
93	1.9%	1.24%	2.56%	21.7%	15.4%	27.4%
92	2.62%	1.79%	3.45%	26.1%	19.2%	32.4%
91	3.52%	2.51%	4.53%	30.8%	23.3%	37.6%
90	4.61%	3.42%	5.82%	35.6%	27.7%	42.8%
89	5.92%	4.52%	7.34%	40.4%	32.2%	47.9%
88	7.45%	5.83%	9.1%	45.1%	36.9%	52.8%
87	9.2%	7.33%	11.1%	49.7%	41.4%	57.4%
86	11.2%	9.03%	13.3%	54%	45.9%	61.7%
85	13.3%	10.9%	15.8%	58%	50.1%	65.5%
84	15.7%	13%	18.4%	61.7%	54.1%	69%
83	18.2%	15.2%	21.2%	65.1%	57.8%	72.2%
82	20.8%	17.6%	24%	68.2%	61.2%	75%
81	23.5%	20.1%	27%	71%	64.4%	77.5%
80	26.3%	22.6%	30%	73.6%	67.3%	79.6%
79	29.1%	25.3%	33%	75.9%	70%	81.5%
78	31.9%	27.9%	35.9%	77.9%	72.4%	83.2%
77	34.6%	30.5%	38.8%	79.8%	74.6%	84.8%
76	37.3%	33.2%	41.6%	81.5%	76.7%	86.1%
75	40%	35.7%	44.4%	83%	78.6%	87.3%
74	42.6%	38.3%	47%	84.4%	80.4%	88.4%
73	45.1%	40.8%	49.6%	85.7%	82%	89.4%
72	47.5%	43.1%	52%	86.9%	83.5%	90.3%
71	49.8%	45.4%	54.3%	88%	84.9%	91.1%
70	52%	47.6%	56.5%	89%	86.1%	91.9%
69	54.1%	49.7%	58.5%	89.9%	87.2%	92.5%
68	56%	51.7%	60.4%	90.7%	88.3%	93.1%
67	57.9%	53.6%	62.2%	91.5%	89.3%	93.7%
66	59.6%	55.4%	63.9%	92.2%	90.2%	94.2%
65	61.3%	57.2%	65.4%	92.8%	91%	94.7%
64	62.8%	58.8%	66.9%	93.4%	91.7%	95.1%
63	64.3%	60.3%	68.3%	94%	92.4%	95.5%
62	65.6%	61.8%	69.5%	94.5%	93.1%	95.9%
61	66.9%	63.2%	70.6%	94.9%	93.7%	96.2%
60	68%	64.4%	71.7%	95.4%	94.2%	96.5%
59	69.1%	65.6%	72.7%	95.7%	94.7%	96.8%
58	70.1%	66.7%	73.6%	96.1%	95.1%	97.1%
57	71.1%	67.8%	74.5%	96.4%	95.5%	97.3%
56	72%	68.8%	75.3%	96.7%	95.9%	97.5%
55	72.9%	69.8%	76.1%	97%	96.2%	97.7%
54	73.7%	70.7%	76.8%	97.2%	96.5%	97.9%
53	74.5%	71.6%	77.5%	97.4%	96.8%	98.1%
52	75.3%	72.5%	78.2%	97.6%	97.1%	98.2%
51	76%	73.3%	78.9%	97.8%	97.3%	98.4%
50	76.7%	74.1%	79.5%	98%	97.5%	98.5%
49	77.4%	74.8%	80%	98.1%	97.7%	98.6%
48	78%	75.4%	80.5%	98.3%	97.8%	98.7%
47	78.5%	76.1%	81%	98.4%	98%	98.8%
46	79.1%	76.7%	81.5%	98.5%	98.1%	98.9%
45	79.6%	77.3%	82%	98.6%	98.2%	99%
44	80.1%	77.9%	82.5%	98.7%	98.3%	99%
43	80.7%	78.4%	82.9%	98.8%	98.4%	99.1%
42	81.2%	79%	83.4%	98.8%	98.5%	99.2%
41	81.6%	79.5%	83.8%	98.9%	98.6%	99.2%
40	82.1%	80%	84.2%	99%	98.7%	99.3%
39	82.5%	80.5%	84.6%	99%	98.8%	99.3%
38	83%	80.9%	85%	99.1%	98.8%	99.3%
37	83.4%	81.4%	85.4%	99.1%	98.9%	99.4%
36	83.8%	81.8%	85.7%	99.2%	98.9%	99.4%
35	84.1%	82.3%	86.1%	99.2%	99%	99.4%
34	84.5%	82.7%	86.4%	99.2%	99%	99.5%
33	84.9%	83.1%	86.7%	99.3%	99.1%	99.5%
32	85.3%	83.5%	87.1%	99.3%	99.1%	99.5%
31	85.6%	83.9%	87.4%	99.3%	99.2%	99.5%
30	86%	84.4%	87.7%	99.4%	99.2%	99.5%
29	86.4%	84.8%	88%	99.4%	99.2%	99.5%
28	86.7%	85.1%	88.3%	99.4%	99.3%	99.6%
27	87.1%	85.5%	88.6%	99.4%	99.3%	99.6%
26	87.4%	85.9%	88.9%	99.5%	99.4%	99.6%
25	87.7%	86.3%	89.1%	99.5%	99.4%	99.6%
24	88.1%	86.7%	89.4%	99.5%	99.4%	99.6%
23	88.4%	87.1%	89.7%	99.5%	99.5%	99.6%
22	88.7%	87.5%	89.9%	99.6%	99.5%	99.6%
21	89%	87.9%	90.2%	99.6%	99.5%	99.7%
20	89.3%	88.3%	90.4%	99.6%	99.6%	99.7%
19	89.6%	88.6%	90.6%	99.6%	99.6%	99.7%
18	89.9%	88.9%	90.9%	99.7%	99.6%	99.7%
17	90.1%	89.2%	91.1%	99.7%	99.6%	99.7%
16	90.3%	89.5%	91.2%	99.7%	99.7%	99.7%
15	90.5%	89.7%	91.4%	99.7%	99.7%	99.7%
14	90.7%	89.9%	91.6%	99.7%	99.7%	99.7%
13	90.9%	90%	91.7%	99.7%	99.7%	99.7%
12	91.1%	90.2%	91.9%	99.7%	99.7%	99.7%
11	91.2%	90.4%	92.1%	99.7%	99.7%	99.7%
10	91.4%	90.6%	92.2%	99.7%	99.7%	99.7%
9	91.6%	90.9%	92.4%	99.7%	99.7%	99.8%
8	91.9%	91.1%	92.7%	99.7%	99.7%	99.8%
7	92.2%	91.5%	92.9%	99.7%	99.7%	99.8%
6	92.5%	91.8%	93.3%	99.7%	99.7%	99.8%
5	92.9%	92.3%	93.6%	99.8%	99.7%	99.8%
4	93.4%	92.8%	94.1%	99.8%	99.7%	99.8%
3	93.9%	93.3%	94.5%	99.8%	99.8%	99.8%
2	94.6%	94%	95.1%	99.8%	99.8%	99.8%
1	95.3%	94.7%	95.8%	99.8%	99.8%	99.8%

This chart shows the odds of living to each age from birth. 68% of newborns in the DR Congo and 95.4% in Italy are expected to live past 60, 52% and 89% past 70, 26.3% and 73.6% past 80, and only 4.61% 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

DR Congo

Male

Female

Italy

Male

Female

1x

Age	Probability of dying
	DR Congo			Italy
	Average	Male	Female	Average	Male	Female
100	43%	46.5%	42.1%	35.3%	38.6%	34.5%
99	41%	44.6%	40%	32.9%	36.1%	32%
98	39.2%	42.6%	38.2%	30.4%	33.7%	29.4%
97	37.3%	40.6%	36.2%	27.9%	31.2%	26.8%
96	35.4%	38.6%	34.1%	25.4%	28.7%	24.3%
95	33.4%	36.7%	32%	23.1%	26.2%	21.9%
94	31.3%	34.8%	29.8%	20.8%	23.9%	19.5%
93	29.4%	32.9%	27.7%	18.7%	21.7%	17.4%
92	27.4%	30.8%	25.7%	16.8%	19.6%	15.5%
91	25.6%	28.7%	23.9%	15.1%	17.7%	13.8%
90	23.8%	26.5%	22.2%	13.5%	15.9%	12.2%
89	22.1%	24.4%	20.7%	12%	14.2%	10.7%
88	20.5%	22.4%	19.3%	10.5%	12.5%	9.26%
87	19%	20.5%	18%	9.15%	11%	7.97%
86	17.6%	18.8%	16.7%	7.99%	9.68%	6.87%
85	16.2%	17.3%	15.5%	6.95%	8.46%	5.91%
84	15%	15.9%	14.3%	6.02%	7.37%	5.07%
83	13.8%	14.7%	13.1%	5.23%	6.42%	4.36%
82	12.6%	13.5%	12%	4.54%	5.61%	3.74%
81	11.6%	12.4%	10.9%	3.95%	4.93%	3.2%
80	10.5%	11.3%	9.95%	3.44%	4.32%	2.73%
79	9.61%	10.4%	9.03%	3%	3.79%	2.35%
78	8.76%	9.47%	8.2%	2.63%	3.34%	2.04%
77	7.99%	8.65%	7.46%	2.33%	2.99%	1.78%
76	7.3%	7.91%	6.79%	2.08%	2.69%	1.57%
75	6.67%	7.24%	6.2%	1.87%	2.43%	1.39%
74	6.1%	6.63%	5.65%	1.69%	2.2%	1.25%
73	5.57%	6.06%	5.15%	1.52%	1.99%	1.12%
72	5.07%	5.54%	4.68%	1.37%	1.79%	1%
71	4.62%	5.05%	4.25%	1.23%	1.61%	0.9%
70	4.2%	4.61%	3.85%	1.11%	1.44%	0.8%
69	3.82%	4.21%	3.48%	1%	1.31%	0.72%
68	3.48%	3.86%	3.16%	0.91%	1.2%	0.65%
67	3.18%	3.54%	2.87%	0.84%	1.1%	0.59%
66	2.92%	3.27%	2.61%	0.76%	0.99%	0.55%
65	2.68%	3.02%	2.38%	0.69%	0.9%	0.5%
64	2.46%	2.78%	2.17%	0.64%	0.82%	0.46%
63	2.25%	2.56%	1.98%	0.58%	0.75%	0.41%
62	2.06%	2.35%	1.8%	0.53%	0.68%	0.38%
61	1.88%	2.15%	1.63%	0.48%	0.62%	0.35%
60	1.71%	1.96%	1.48%	0.44%	0.57%	0.32%
59	1.57%	1.8%	1.35%	0.4%	0.51%	0.29%
58	1.45%	1.67%	1.24%	0.36%	0.47%	0.27%
57	1.35%	1.56%	1.16%	0.33%	0.42%	0.24%
56	1.27%	1.47%	1.09%	0.3%	0.38%	0.22%
55	1.21%	1.4%	1.03%	0.27%	0.34%	0.21%
54	1.15%	1.33%	0.98%	0.25%	0.31%	0.19%
53	1.09%	1.27%	0.92%	0.23%	0.28%	0.17%
52	1.03%	1.2%	0.87%	0.2%	0.26%	0.16%
51	0.96%	1.12%	0.81%	0.19%	0.23%	0.14%
50	0.89%	1.04%	0.75%	0.17%	0.21%	0.13%
49	0.83%	0.96%	0.7%	0.15%	0.18%	0.12%
48	0.77%	0.89%	0.65%	0.14%	0.17%	0.11%
47	0.73%	0.84%	0.62%	0.12%	0.15%	0.1%
46	0.69%	0.8%	0.6%	0.11%	0.14%	0.09%
45	0.67%	0.76%	0.58%	0.1%	0.13%	0.08%
44	0.65%	0.74%	0.57%	0.09%	0.11%	0.07%
43	0.63%	0.71%	0.56%	0.08%	0.1%	0.06%
42	0.61%	0.69%	0.54%	0.07%	0.09%	0.06%
41	0.59%	0.66%	0.52%	0.07%	0.09%	0.05%
40	0.56%	0.63%	0.5%	0.06%	0.08%	0.05%
39	0.54%	0.6%	0.47%	0.06%	0.07%	0.04%
38	0.51%	0.58%	0.45%	0.05%	0.06%	0.04%
37	0.49%	0.56%	0.43%	0.05%	0.06%	0.03%
36	0.47%	0.54%	0.41%	0.04%	0.05%	0.03%
35	0.46%	0.53%	0.4%	0.04%	0.05%	0.03%
34	0.45%	0.52%	0.39%	0.04%	0.05%	0.02%
33	0.44%	0.51%	0.38%	0.03%	0.05%	0.02%
32	0.44%	0.5%	0.37%	0.03%	0.04%	0.02%
31	0.43%	0.49%	0.36%	0.03%	0.04%	0.02%
30	0.42%	0.48%	0.36%	0.03%	0.04%	0.02%
29	0.41%	0.47%	0.35%	0.03%	0.04%	0.02%
28	0.4%	0.47%	0.34%	0.03%	0.04%	0.02%
27	0.4%	0.46%	0.33%	0.03%	0.04%	0.02%
26	0.39%	0.46%	0.32%	0.03%	0.04%	0.02%
25	0.38%	0.46%	0.31%	0.03%	0.04%	0.02%
24	0.38%	0.46%	0.3%	0.02%	0.04%	0.01%
23	0.37%	0.46%	0.29%	0.02%	0.03%	0.01%
22	0.37%	0.45%	0.28%	0.02%	0.03%	0.01%
21	0.35%	0.44%	0.27%	0.02%	0.03%	0.01%
20	0.34%	0.41%	0.26%	0.02%	0.03%	0.01%
19	0.32%	0.38%	0.25%	0.02%	0.03%	0.01%
18	0.29%	0.34%	0.24%	0.02%	0.03%	0.01%
17	0.26%	0.31%	0.22%	0.02%	0.02%	0.01%
16	0.24%	0.27%	0.21%	0.01%	0.02%	0.009%
15	0.22%	0.24%	0.19%	0.01%	0.01%	0.008%
14	0.2%	0.22%	0.18%	0.009%	0.01%	0.007%
13	0.19%	0.21%	0.17%	0.007%	0.008%	0.006%
12	0.19%	0.2%	0.17%	0.006%	0.007%	0.005%
11	0.19%	0.21%	0.18%	0.006%	0.006%	0.005%
10	0.21%	0.23%	0.19%	0.006%	0.006%	0.005%
9	0.24%	0.26%	0.22%	0.005%	0.006%	0.004%
8	0.28%	0.3%	0.25%	0.005%	0.006%	0.004%
7	0.32%	0.35%	0.29%	0.005%	0.005%	0.004%
6	0.37%	0.41%	0.34%	0.005%	0.005%	0.005%
5	0.43%	0.47%	0.4%	0.005%	0.006%	0.005%
4	0.5%	0.54%	0.46%	0.006%	0.007%	0.006%
3	0.57%	0.61%	0.52%	0.007%	0.008%	0.006%
2	0.65%	0.69%	0.6%	0.007%	0.008%	0.007%
1	0.74%	0.79%	0.69%	0.02%	0.02%	0.02%
0	4.74%	5.25%	4.22%	0.21%	0.22%	0.19%

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

The annual chance of dying is 4.74% in the birth year in the DR Congo and 0.21% in Italy, 0.42% vs 0.03% at age 30, 1.71% vs 0.44% at 60, and 10.5% vs 3.44% at 80.

Death rate by age in DR Congo vs Italy

Chart Table

DR Congo

Male

Female

Italy

Male

Female

1x

Age	Death rate
	DR Congo			Italy
	Total	Male	Female	Total	Male	Female
100	0	0	0	823	339	1,226
99	62	32	91.8	1,326	795	1,783
98	97.5	53.2	141.6	1,758	1,118	2,319
97	148	85.4	210.7	2,238	1,507	2,892
96	216.9	132.6	302	2,738	1,944	3,460
95	307	199.2	415	3,225	2,407	3,981
94	420	289.7	552	3,673	2,883	4,420
93	557	407	709	4,066	3,342	4,765
92	718	552	886	4,388	3,752	5,017
91	900	721	1,082	4,640	4,111	5,179
90	1,099	907	1,294	4,795	4,395	5,221
89	1,310	1,104	1,520	4,834	4,577	5,128
88	1,528	1,304	1,756	4,737	4,625	4,892
87	1,746	1,503	1,994	4,547	4,565	4,575
86	1,959	1,699	2,225	4,315	4,441	4,236
85	2,160	1,888	2,438	4,030	4,239	3,871
84	2,342	2,067	2,625	3,718	3,985	3,501
83	2,499	2,231	2,776	3,406	3,709	3,148
82	2,625	2,371	2,886	3,101	3,435	2,806
81	2,716	2,484	2,954	2,808	3,173	2,476
80	2,771	2,565	2,983	2,530	2,912	2,174
79	2,794	2,617	2,977	2,275	2,654	1,918
78	2,791	2,641	2,945	2,048	2,420	1,698
77	2,766	2,642	2,893	1,859	2,230	1,508
76	2,724	2,624	2,827	1,697	2,065	1,347
75	2,669	2,589	2,749	1,556	1,913	1,216
74	2,597	2,537	2,657	1,428	1,767	1,103
73	2,511	2,470	2,552	1,307	1,628	1,001
72	2,412	2,389	2,435	1,192	1,493	906
71	2,302	2,296	2,307	1,084	1,365	817
70	2,185	2,196	2,173	984	1,244	735
69	2,067	2,094	2,038	899	1,143	664
68	1,952	1,995	1,907	828	1,061	604
67	1,843	1,901	1,784	764	981	555
66	1,741	1,811	1,668	701	894	515
65	1,642	1,725	1,559	643	815	477
64	1,545	1,637	1,452	594	757	436
63	1,448	1,546	1,349	544	697	395
62	1,350	1,452	1,248	497	637	360
61	1,254	1,356	1,151	458	584	334
60	1,164	1,265	1,061	421	533	311
59	1,082	1,181	982	385	485	285.4
58	1,014	1,111	915	350	443	260
57	959	1,055	862	321	405	237.7
56	916	1,011	819	292.8	368	218.2
55	881	976	784	265.2	331	200.4
54	848	943	751	240.3	298.2	183.2
53	813	907	717	219.6	272.7	166.6
52	774	866	680	200.1	247.9	152.4
51	729	818	639	181.5	223.5	139.4
50	683	768	597	163.7	200.6	126.5
49	639	718	559	147.8	180.6	114.7
48	602	674	527	134.3	163.9	104.3
47	572	638	503	122.5	149.9	94.8
46	550	611	487	111.5	137.2	85.4
45	534	590	476	100.6	124.2	76.6
44	522	573	469	89.9	110.6	68.8
43	510	558	461	80.6	99.1	61.8
42	496	541	450	73.5	91.2	55.5
41	480	523	436	67.1	83.9	50
40	461	503	418	61	76.2	45.5
39	442	484	398	55.5	68.6	42.1
38	424	466	380	50.3	61.9	38.6
37	408	452	363	46	57.2	34.5
36	396	441	350	42.3	53.7	30.4
35	388	434	340	39.2	50.8	27
34	381	428	333	36.7	48.4	24.3
33	376	423	328	34.7	46.3	22.3
32	371	418	323	32.7	44.4	20.3
31	366	412	319	30.5	42	18.2
30	361	407	313	28.4	39.1	16.8
29	355	401	307	27	37.1	15.9
28	350	398	299.9	26.6	36.7	15.2
27	345	397	291.6	26.7	37.1	15
26	341	398	282.8	26.7	36.9	15.5
25	338	400	273.8	26.1	36.1	15.3
24	335	403	265.4	24.6	35.2	13.4
23	331	402	258	23.7	34.6	12.1
22	325	397	251.5	24	34.7	12.8
21	315	384	245.4	24	34.2	13.3
20	302	364	238.6	22.5	32.5	11.9
19	283.9	337	229.9	21.4	31.1	11.1
18	262.3	306	218.4	19.8	28.5	10.6
17	238.7	272.7	204.2	17	23.7	9.83
16	215.6	241.9	188.8	13.7	18.3	8.79
15	195	215.6	174.2	10.9	13.8	7.8
14	179.5	196.1	162.6	8.59	10.3	6.75
13	170.6	184.9	156	6.87	7.94	5.73
12	169.3	182.8	155.5	5.85	6.64	5.02
11	176.5	190.4	162.3	5.63	6.4	4.82
10	192.5	207.9	176.9	5.6	6.4	4.74
9	218	235.8	199.9	5.23	5.98	4.44
8	252.8	273.8	231.4	4.88	5.54	4.17
7	296.1	321	270.8	4.69	5.21	4.14
6	347	376	317	4.8	5.09	4.49
5	404	436	370	5.32	5.51	5.13
4	466	502	429	6.2	6.66	5.71
3	534	573	494	6.79	7.54	5.99
2	612	653	570	7.4	8.03	6.73
1	706	750	662	18.9	19.8	17.9
0	4,741	5,250	4,223	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 DR Congo, the most common age of death is 0, compared to 89 in Italy. The median age of death is 70.9 in the DR 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 DR Congo and Italy more than their death rates.

Life expectancy in other countries

+ -

1x