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

Life expectancy by current age

Chart Table

DR Congo

Male

Female

Switzerland

Male

Female

1x

Current age, years	Total life expectancy, years
	DR Congo			Switzerland
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.8	102	101.9	102
99	100.8	100.7	100.9	101.1	101	101.2
98	99.9	99.8	100	100.3	100.2	100.3
97	99	98.8	99.1	99.5	99.3	99.5
96	98.1	97.9	98.2	98.7	98.5	98.8
95	97.3	97	97.3	97.9	97.7	98
94	96.4	96.2	96.5	97.2	97	97.3
93	95.5	95.3	95.7	96.5	96.2	96.6
92	94.7	94.4	94.8	95.8	95.5	96
91	93.9	93.6	94	95.2	94.8	95.4
90	93.1	92.8	93.3	94.5	94.1	94.8
89	92.3	92	92.5	94	93.5	94.2
88	91.5	91.2	91.7	93.4	92.9	93.7
87	90.8	90.4	91	92.9	92.3	93.2
86	90	89.7	90.2	92.4	91.8	92.8
85	89.3	89	89.5	91.9	91.3	92.4
84	88.6	88.3	88.8	91.5	90.8	92
83	87.9	87.6	88.1	91.1	90.4	91.6
82	87.2	86.9	87.4	90.7	90	91.3
81	86.5	86.2	86.8	90.4	89.6	91
80	85.9	85.6	86.1	90.1	89.2	90.7
79	85.3	84.9	85.5	89.8	88.9	90.5
78	84.7	84.3	85	89.5	88.5	90.2
77	84.1	83.7	84.4	89.2	88.2	90
76	83.6	83.2	83.9	89	87.9	89.8
75	83	82.6	83.4	88.7	87.7	89.6
74	82.5	82.1	82.9	88.5	87.4	89.4
73	82	81.6	82.4	88.3	87.1	89.3
72	81.5	81.1	81.9	88.1	86.9	89.1
71	81.1	80.6	81.5	87.9	86.6	88.9
70	80.6	80.1	81	87.7	86.4	88.8
69	80.2	79.7	80.6	87.5	86.2	88.7
68	79.8	79.2	80.3	87.3	86	88.5
67	79.4	78.8	79.9	87.2	85.8	88.4
66	79	78.4	79.5	87	85.6	88.3
65	78.6	78	79.2	86.9	85.4	88.1
64	78.3	77.6	78.9	86.7	85.3	88
63	78	77.3	78.6	86.6	85.1	87.9
62	77.6	76.9	78.3	86.5	85	87.8
61	77.3	76.6	78	86.3	84.8	87.8
60	77.1	76.3	77.8	86.2	84.7	87.7
59	76.8	76	77.5	86.1	84.6	87.6
58	76.5	75.7	77.3	86	84.5	87.5
57	76.3	75.4	77.1	85.9	84.4	87.4
56	76	75.1	76.8	85.9	84.3	87.4
55	75.8	74.9	76.6	85.8	84.2	87.3
54	75.5	74.6	76.4	85.7	84.1	87.3
53	75.3	74.3	76.2	85.6	84	87.2
52	75	74.1	76	85.6	83.9	87.2
51	74.8	73.8	75.8	85.5	83.8	87.1
50	74.6	73.6	75.6	85.5	83.8	87.1
49	74.4	73.3	75.4	85.4	83.7	87
48	74.2	73.1	75.2	85.4	83.7	87
47	74	72.9	75.1	85.3	83.6	87
46	73.8	72.7	74.9	85.3	83.6	86.9
45	73.6	72.5	74.7	85.2	83.5	86.9
44	73.4	72.3	74.5	85.2	83.5	86.9
43	73.2	72.1	74.4	85.2	83.5	86.8
42	73.1	71.9	74.2	85.2	83.4	86.8
41	72.9	71.7	74	85.1	83.4	86.8
40	72.7	71.5	73.9	85.1	83.4	86.8
39	72.5	71.3	73.7	85.1	83.3	86.8
38	72.3	71.1	73.5	85.1	83.3	86.7
37	72.2	70.9	73.4	85	83.3	86.7
36	72	70.7	73.2	85	83.3	86.7
35	71.8	70.5	73.1	85	83.2	86.7
34	71.7	70.3	72.9	85	83.2	86.7
33	71.5	70.2	72.8	85	83.2	86.7
32	71.3	70	72.6	84.9	83.2	86.7
31	71.1	69.8	72.5	84.9	83.1	86.7
30	71	69.6	72.3	84.9	83.1	86.6
29	70.8	69.4	72.2	84.9	83.1	86.6
28	70.6	69.2	72	84.9	83.1	86.6
27	70.5	69	71.9	84.9	83.1	86.6
26	70.3	68.8	71.8	84.9	83	86.6
25	70.1	68.6	71.6	84.8	83	86.6
24	69.9	68.4	71.5	84.8	83	86.6
23	69.8	68.2	71.3	84.8	83	86.6
22	69.6	68	71.2	84.8	83	86.6
21	69.4	67.8	71.1	84.8	82.9	86.6
20	69.3	67.6	70.9	84.8	82.9	86.6
19	69.1	67.4	70.8	84.7	82.9	86.5
18	69	67.2	70.7	84.7	82.9	86.5
17	68.8	67.1	70.6	84.7	82.8	86.5
16	68.7	67	70.4	84.7	82.8	86.5
15	68.6	66.8	70.3	84.7	82.8	86.5
14	68.5	66.7	70.2	84.7	82.8	86.5
13	68.4	66.6	70.1	84.7	82.8	86.5
12	68.3	66.5	70	84.7	82.8	86.5
11	68.2	66.4	69.9	84.7	82.8	86.5
10	68	66.3	69.8	84.7	82.8	86.5
9	67.9	66.1	69.7	84.7	82.8	86.5
8	67.7	65.9	69.5	84.7	82.8	86.5
7	67.5	65.7	69.4	84.7	82.8	86.5
6	67.3	65.5	69.1	84.7	82.8	86.5
5	67	65.2	68.9	84.7	82.8	86.5
4	66.7	64.9	68.6	84.7	82.8	86.5
3	66.4	64.5	68.3	84.6	82.8	86.5
2	66	64.1	67.9	84.6	82.8	86.5
1	65.5	63.6	67.4	84.6	82.7	86.4
0	62.4	60.2	64.6	84.4	82.5	86.2

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 84.9 in Switzerland, rising to 78.6 and 86.9 at 65, and to 85.9 and 90.1 at 80 — higher than the 62.4 and 84.4 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 Switzerland.

Probability of surviving to a given age

Chart Table

DR Congo

Male

Female

Switzerland

Male

Female

1x

Age	Survival probability
	DR Congo			Switzerland
	Average	Male	Female	Average	Male	Female
100	0.09%	0.04%	0.14%	2.59%	1.52%	3.5%
99	0.15%	0.07%	0.23%	3.94%	2.39%	5.27%
98	0.25%	0.13%	0.37%	5.76%	3.62%	7.62%
97	0.4%	0.21%	0.58%	8.1%	5.27%	10.6%
96	0.61%	0.34%	0.88%	11%	7.39%	14.2%
95	0.92%	0.54%	1.3%	14.4%	9.99%	18.3%
94	1.34%	0.83%	1.85%	18.3%	13.1%	23%
93	1.9%	1.24%	2.56%	22.6%	16.6%	28.1%
92	2.62%	1.79%	3.45%	27.2%	20.7%	33.3%
91	3.52%	2.51%	4.53%	32.1%	25%	38.6%
90	4.61%	3.42%	5.82%	37%	29.6%	43.9%
89	5.92%	4.52%	7.34%	41.8%	34.3%	49%
88	7.45%	5.83%	9.1%	46.6%	38.9%	53.9%
87	9.2%	7.33%	11.1%	51.1%	43.5%	58.5%
86	11.2%	9.03%	13.3%	55.4%	47.9%	62.6%
85	13.3%	10.9%	15.8%	59.3%	52.1%	66.4%
84	15.7%	13%	18.4%	63%	56%	69.8%
83	18.2%	15.2%	21.2%	66.3%	59.6%	72.8%
82	20.8%	17.6%	24%	69.3%	62.9%	75.5%
81	23.5%	20.1%	27%	72%	66%	77.9%
80	26.3%	22.6%	30%	74.4%	68.8%	79.9%
79	29.1%	25.3%	33%	76.6%	71.3%	81.8%
78	31.9%	27.9%	35.9%	78.5%	73.6%	83.4%
77	34.6%	30.5%	38.8%	80.3%	75.7%	84.9%
76	37.3%	33.2%	41.6%	81.9%	77.6%	86.2%
75	40%	35.7%	44.4%	83.4%	79.4%	87.4%
74	42.6%	38.3%	47%	84.7%	81.1%	88.5%
73	45.1%	40.8%	49.6%	86%	82.6%	89.5%
72	47.5%	43.1%	52%	87.2%	84%	90.4%
71	49.8%	45.4%	54.3%	88.2%	85.3%	91.2%
70	52%	47.6%	56.5%	89.2%	86.5%	91.9%
69	54.1%	49.7%	58.5%	90.1%	87.6%	92.6%
68	56%	51.7%	60.4%	90.9%	88.6%	93.2%
67	57.9%	53.6%	62.2%	91.7%	89.6%	93.8%
66	59.6%	55.4%	63.9%	92.4%	90.5%	94.3%
65	61.3%	57.2%	65.4%	93%	91.3%	94.8%
64	62.8%	58.8%	66.9%	93.6%	92.1%	95.2%
63	64.3%	60.3%	68.3%	94.2%	92.7%	95.6%
62	65.6%	61.8%	69.5%	94.7%	93.4%	96%
61	66.9%	63.2%	70.6%	95.1%	93.9%	96.3%
60	68%	64.4%	71.7%	95.5%	94.4%	96.6%
59	69.1%	65.6%	72.7%	95.9%	94.9%	96.9%
58	70.1%	66.7%	73.6%	96.2%	95.3%	97.1%
57	71.1%	67.8%	74.5%	96.5%	95.7%	97.4%
56	72%	68.8%	75.3%	96.8%	96%	97.6%
55	72.9%	69.8%	76.1%	97%	96.3%	97.8%
54	73.7%	70.7%	76.8%	97.3%	96.6%	97.9%
53	74.5%	71.6%	77.5%	97.5%	96.9%	98.1%
52	75.3%	72.5%	78.2%	97.7%	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%	98.2%	97.8%	98.7%
47	78.5%	76.1%	81%	98.3%	97.9%	98.8%
46	79.1%	76.7%	81.5%	98.4%	98.1%	98.8%
45	79.6%	77.3%	82%	98.5%	98.2%	98.9%
44	80.1%	77.9%	82.5%	98.6%	98.3%	99%
43	80.7%	78.4%	82.9%	98.7%	98.4%	99%
42	81.2%	79%	83.4%	98.8%	98.5%	99.1%
41	81.6%	79.5%	83.8%	98.8%	98.5%	99.1%
40	82.1%	80%	84.2%	98.9%	98.6%	99.2%
39	82.5%	80.5%	84.6%	98.9%	98.7%	99.2%
38	83%	80.9%	85%	99%	98.7%	99.2%
37	83.4%	81.4%	85.4%	99%	98.8%	99.3%
36	83.8%	81.8%	85.7%	99.1%	98.8%	99.3%
35	84.1%	82.3%	86.1%	99.1%	98.9%	99.3%
34	84.5%	82.7%	86.4%	99.1%	98.9%	99.3%
33	84.9%	83.1%	86.7%	99.2%	99%	99.4%
32	85.3%	83.5%	87.1%	99.2%	99%	99.4%
31	85.6%	83.9%	87.4%	99.2%	99%	99.4%
30	86%	84.4%	87.7%	99.3%	99.1%	99.4%
29	86.4%	84.8%	88%	99.3%	99.1%	99.5%
28	86.7%	85.1%	88.3%	99.3%	99.2%	99.5%
27	87.1%	85.5%	88.6%	99.3%	99.2%	99.5%
26	87.4%	85.9%	88.9%	99.4%	99.2%	99.5%
25	87.7%	86.3%	89.1%	99.4%	99.3%	99.5%
24	88.1%	86.7%	89.4%	99.4%	99.3%	99.5%
23	88.4%	87.1%	89.7%	99.4%	99.3%	99.5%
22	88.7%	87.5%	89.9%	99.5%	99.4%	99.6%
21	89%	87.9%	90.2%	99.5%	99.4%	99.6%
20	89.3%	88.3%	90.4%	99.5%	99.5%	99.6%
19	89.6%	88.6%	90.6%	99.5%	99.5%	99.6%
18	89.9%	88.9%	90.9%	99.6%	99.5%	99.6%
17	90.1%	89.2%	91.1%	99.6%	99.5%	99.6%
16	90.3%	89.5%	91.2%	99.6%	99.6%	99.6%
15	90.5%	89.7%	91.4%	99.6%	99.6%	99.6%
14	90.7%	89.9%	91.6%	99.6%	99.6%	99.6%
13	90.9%	90%	91.7%	99.6%	99.6%	99.6%
12	91.1%	90.2%	91.9%	99.6%	99.6%	99.6%
11	91.2%	90.4%	92.1%	99.6%	99.6%	99.6%
10	91.4%	90.6%	92.2%	99.6%	99.6%	99.7%
9	91.6%	90.9%	92.4%	99.6%	99.6%	99.7%
8	91.9%	91.1%	92.7%	99.6%	99.6%	99.7%
7	92.2%	91.5%	92.9%	99.6%	99.6%	99.7%
6	92.5%	91.8%	93.3%	99.6%	99.6%	99.7%
5	92.9%	92.3%	93.6%	99.7%	99.6%	99.7%
4	93.4%	92.8%	94.1%	99.7%	99.6%	99.7%
3	93.9%	93.3%	94.5%	99.7%	99.6%	99.7%
2	94.6%	94%	95.1%	99.7%	99.7%	99.7%
1	95.3%	94.7%	95.8%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 68% of newborns in the DR Congo and 95.5% in Switzerland are expected to live past 60, 52% and 89.2% past 70, 26.3% and 74.4% past 80, and only 4.61% and 37% 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

Switzerland

Male

Female

1x

Age	Probability of dying
	DR Congo			Switzerland
	Average	Male	Female	Average	Male	Female
100	43%	46.5%	42.1%	37%	39.1%	36.3%
99	41%	44.6%	40%	34.3%	36.4%	33.7%
98	39.2%	42.6%	38.2%	31.6%	33.9%	30.8%
97	37.3%	40.6%	36.2%	28.9%	31.4%	28%
96	35.4%	38.6%	34.1%	26.2%	28.7%	25.3%
95	33.4%	36.7%	32%	23.7%	26%	22.7%
94	31.3%	34.8%	29.8%	21.3%	23.6%	20.3%
93	29.4%	32.9%	27.7%	19.1%	21.4%	18%
92	27.4%	30.8%	25.7%	17%	19.5%	15.8%
91	25.6%	28.7%	23.9%	15.1%	17.5%	13.8%
90	23.8%	26.5%	22.2%	13.3%	15.5%	12%
89	22.1%	24.4%	20.7%	11.6%	13.6%	10.5%
88	20.5%	22.4%	19.3%	10.2%	11.9%	9.08%
87	19%	20.5%	18%	8.86%	10.5%	7.78%
86	17.6%	18.8%	16.7%	7.67%	9.2%	6.62%
85	16.2%	17.3%	15.5%	6.66%	8.02%	5.68%
84	15%	15.9%	14.3%	5.78%	6.96%	4.88%
83	13.8%	14.7%	13.1%	5%	6.05%	4.18%
82	12.6%	13.5%	12%	4.31%	5.27%	3.56%
81	11.6%	12.4%	10.9%	3.75%	4.64%	3.02%
80	10.5%	11.3%	9.95%	3.26%	4.07%	2.58%
79	9.61%	10.4%	9.03%	2.84%	3.56%	2.24%
78	8.76%	9.47%	8.2%	2.49%	3.12%	1.96%
77	7.99%	8.65%	7.46%	2.2%	2.76%	1.73%
76	7.3%	7.91%	6.79%	1.97%	2.47%	1.53%
75	6.67%	7.24%	6.2%	1.78%	2.24%	1.37%
74	6.1%	6.63%	5.65%	1.61%	2.05%	1.22%
73	5.57%	6.06%	5.15%	1.46%	1.87%	1.1%
72	5.07%	5.54%	4.68%	1.33%	1.7%	1%
71	4.62%	5.05%	4.25%	1.2%	1.53%	0.9%
70	4.2%	4.61%	3.85%	1.08%	1.37%	0.8%
69	3.82%	4.21%	3.48%	0.97%	1.24%	0.72%
68	3.48%	3.86%	3.16%	0.9%	1.16%	0.65%
67	3.18%	3.54%	2.87%	0.84%	1.08%	0.61%
66	2.92%	3.27%	2.61%	0.77%	0.98%	0.57%
65	2.68%	3.02%	2.38%	0.71%	0.89%	0.53%
64	2.46%	2.78%	2.17%	0.64%	0.82%	0.46%
63	2.25%	2.56%	1.98%	0.57%	0.74%	0.41%
62	2.06%	2.35%	1.8%	0.52%	0.66%	0.37%
61	1.88%	2.15%	1.63%	0.47%	0.6%	0.34%
60	1.71%	1.96%	1.48%	0.43%	0.54%	0.31%
59	1.57%	1.8%	1.35%	0.38%	0.47%	0.29%
58	1.45%	1.67%	1.24%	0.34%	0.42%	0.26%
57	1.35%	1.56%	1.16%	0.31%	0.39%	0.23%
56	1.27%	1.47%	1.09%	0.29%	0.36%	0.21%
55	1.21%	1.4%	1.03%	0.26%	0.33%	0.2%
54	1.15%	1.33%	0.98%	0.24%	0.29%	0.18%
53	1.09%	1.27%	0.92%	0.21%	0.26%	0.16%
52	1.03%	1.2%	0.87%	0.19%	0.23%	0.14%
51	0.96%	1.12%	0.81%	0.17%	0.21%	0.13%
50	0.89%	1.04%	0.75%	0.16%	0.19%	0.12%
49	0.83%	0.96%	0.7%	0.14%	0.17%	0.11%
48	0.77%	0.89%	0.65%	0.12%	0.15%	0.1%
47	0.73%	0.84%	0.62%	0.11%	0.14%	0.08%
46	0.69%	0.8%	0.6%	0.1%	0.13%	0.08%
45	0.67%	0.76%	0.58%	0.09%	0.12%	0.07%
44	0.65%	0.74%	0.57%	0.08%	0.1%	0.07%
43	0.63%	0.71%	0.56%	0.08%	0.09%	0.06%
42	0.61%	0.69%	0.54%	0.07%	0.09%	0.05%
41	0.59%	0.66%	0.52%	0.06%	0.08%	0.04%
40	0.56%	0.63%	0.5%	0.05%	0.07%	0.04%
39	0.54%	0.6%	0.47%	0.05%	0.07%	0.03%
38	0.51%	0.58%	0.45%	0.05%	0.06%	0.03%
37	0.49%	0.56%	0.43%	0.04%	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%	0.03%	0.05%	0.02%
33	0.44%	0.51%	0.38%	0.03%	0.04%	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%	0.01%
26	0.39%	0.46%	0.32%	0.03%	0.04%	0.01%
25	0.38%	0.46%	0.31%	0.03%	0.04%	0.01%
24	0.38%	0.46%	0.3%	0.03%	0.04%	0.02%
23	0.37%	0.46%	0.29%	0.03%	0.04%	0.02%
22	0.37%	0.45%	0.28%	0.03%	0.04%	0.01%
21	0.35%	0.44%	0.27%	0.02%	0.04%	0.008%
20	0.34%	0.41%	0.26%	0.02%	0.04%	0.009%
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%	0.008%
15	0.22%	0.24%	0.19%	0.01%	0.01%	0.007%
14	0.2%	0.22%	0.18%	0.009%	0.01%	0.007%
13	0.19%	0.21%	0.17%	0.007%	0.008%	0.007%
12	0.19%	0.2%	0.17%	0.006%	0.006%	0.006%
11	0.19%	0.21%	0.18%	0.005%	0.005%	0.006%
10	0.21%	0.23%	0.19%	0.005%	0.004%	0.005%
9	0.24%	0.26%	0.22%	0.005%	0.005%	0.004%
8	0.28%	0.3%	0.25%	0.005%	0.005%	0.005%
7	0.32%	0.35%	0.29%	0.005%	0.005%	0.005%
6	0.37%	0.41%	0.34%	0.005%	0.005%	0.005%
5	0.43%	0.47%	0.4%	0.005%	0.006%	0.004%
4	0.5%	0.54%	0.46%	0.006%	0.007%	0.004%
3	0.57%	0.61%	0.52%	0.007%	0.008%	0.005%
2	0.65%	0.69%	0.6%	0.008%	0.008%	0.007%
1	0.74%	0.79%	0.69%	0.02%	0.02%	0.02%
0	4.74%	5.25%	4.22%	0.3%	0.32%	0.28%

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

The annual chance of dying is 4.74% in the birth year in the DR Congo and 0.3% in Switzerland, 0.42% vs 0.03% at age 30, 1.71% vs 0.43% at 60, and 10.5% vs 3.26% at 80.

Death rate by age in DR Congo vs Switzerland

Chart Table

DR Congo

Male

Female

Switzerland

Male

Female

1x

Age	Death rate
	DR Congo			Switzerland
	Total	Male	Female	Total	Male	Female
100	0	0	0	811	392	1,166
99	62	32	91.8	1,351	871	1,775
98	97.5	53.2	141.6	1,820	1,226	2,350
97	148	85.4	210.7	2,344	1,656	2,970
96	216.9	132.6	302	2,881	2,120	3,585
95	307	199.2	415	3,402	2,594	4,160
94	420	289.7	552	3,893	3,081	4,667
93	557	407	709	4,317	3,568	5,050
92	718	552	886	4,634	4,025	5,255
91	900	721	1,082	4,836	4,388	5,312
90	1,099	907	1,294	4,910	4,590	5,271
89	1,310	1,104	1,520	4,875	4,659	5,136
88	1,528	1,304	1,756	4,748	4,648	4,894
87	1,746	1,503	1,994	4,529	4,563	4,549
86	1,959	1,699	2,225	4,245	4,408	4,146
85	2,160	1,888	2,438	3,949	4,181	3,771
84	2,342	2,067	2,625	3,638	3,899	3,407
83	2,499	2,231	2,776	3,312	3,604	3,047
82	2,625	2,371	2,886	2,988	3,315	2,686
81	2,716	2,484	2,954	2,697	3,059	2,351
80	2,771	2,565	2,983	2,424	2,802	2,060
79	2,794	2,617	2,977	2,175	2,539	1,829
78	2,791	2,641	2,945	1,958	2,296	1,639
77	2,766	2,642	2,893	1,770	2,088	1,469
76	2,724	2,624	2,827	1,613	1,919	1,321
75	2,669	2,589	2,749	1,482	1,780	1,195
74	2,597	2,537	2,657	1,364	1,658	1,083
73	2,511	2,470	2,552	1,260	1,546	986
72	2,412	2,389	2,435	1,160	1,430	899
71	2,302	2,296	2,307	1,061	1,310	818
70	2,185	2,196	2,173	962	1,187	736
69	2,067	2,094	2,038	877	1,088	663
68	1,952	1,995	1,907	819	1,026	607
67	1,843	1,901	1,784	770	968	568
66	1,741	1,811	1,668	715	888	539
65	1,642	1,725	1,559	657	812	500
64	1,545	1,637	1,452	598	752	439
63	1,448	1,546	1,349	540	684	391
62	1,350	1,452	1,248	490	619	356
61	1,254	1,356	1,151	449	566	326
60	1,164	1,265	1,061	409	512	301
59	1,082	1,181	982	366	450	278.7
58	1,014	1,111	915	328	400	254.4
57	959	1,055	862	299.8	371	227
56	916	1,011	819	277.6	348	205.6
55	881	976	784	257.1	318	194.8
54	848	943	751	233.1	284.3	180.9
53	813	907	717	205.5	252.9	157.2
52	774	866	680	182.7	227.9	136.6
51	729	818	639	166.4	207.7	124.2
50	683	768	597	153.6	188.4	118.4
49	639	718	559	139.6	168.2	110.6
48	602	674	527	122.7	148.4	96.4
47	572	638	503	107.9	132.7	82.6
46	550	611	487	99.2	123.3	74.6
45	534	590	476	92.2	114.1	69.7
44	522	573	469	83.3	101.5	64.7
43	510	558	461	74.9	91.8	57.5
42	496	541	450	67.9	86.6	48.7
41	480	523	436	59.7	75.9	43.1
40	461	503	418	53.2	67.1	39
39	442	484	398	49.9	65.1	34.3
38	424	466	380	47.4	62.9	31.4
37	408	452	363	43.3	54.8	31.6
36	396	441	350	39.3	47.2	31.1
35	388	434	340	36.1	44.5	27.4
34	381	428	333	34.4	44.5	23.9
33	376	423	328	33.9	44.3	23.1
32	371	418	323	32.3	41.8	22.5
31	366	412	319	29.2	37.4	20.6
30	361	407	313	28.2	35.8	20.2
29	355	401	307	27.8	36.1	19.1
28	350	398	299.9	26.1	36.1	15.4
27	345	397	291.6	25	36.6	12.6
26	341	398	282.8	26	38.4	12.5
25	338	400	273.8	27.5	39.6	14.5
24	335	403	265.4	28	38.3	17
23	331	402	258	27.1	37.2	16.4
22	325	397	251.5	25.4	38.5	11.5
21	315	384	245.4	24.5	39.8	8.4
20	302	364	238.6	24	38.2	8.96
19	283.9	337	229.9	23.5	34.5	11.8
18	262.3	306	218.4	21.7	29.1	13.8
17	238.7	272.7	204.2	17	22.5	11.2
16	215.6	241.9	188.8	12.5	16.6	8.23
15	195	215.6	174.2	10.1	12.7	7.44
14	179.5	196.1	162.6	8.64	9.9	7.31
13	170.6	184.9	156	7.36	7.93	6.76
12	169.3	182.8	155.5	6.05	6.11	5.98
11	176.5	190.4	162.3	5.04	4.6	5.51
10	192.5	207.9	176.9	4.54	4.09	5.02
9	218	235.8	199.9	4.56	4.64	4.48
8	252.8	273.8	231.4	4.69	4.68	4.71
7	296.1	321	270.8	4.74	4.51	4.98
6	347	376	317	4.82	5.05	4.58
5	404	436	370	5.21	6.16	4.2
4	466	502	429	5.93	7.31	4.48
3	534	573	494	6.53	7.74	5.26
2	612	653	570	7.66	8.22	7.07
1	706	750	662	22.5	22.6	22.4
0	4,741	5,250	4,223	303	322	283.2

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 90 in Switzerland. The median age of death is 70.9 in the DR Congo and 87.2 in Switzerland, 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 Switzerland more than their death rates.

Life expectancy in other countries

+ -

1x