Life Expectancy in Congo vs Switzerland (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

Switzerland

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			Switzerland
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	102	101.9	102
99	101	101	101	101.1	101	101.2
98	100.1	100.2	100.1	100.3	100.2	100.3
97	99.2	99.3	99.1	99.5	99.3	99.5
96	98.3	98.4	98.2	98.7	98.5	98.8
95	97.4	97.5	97.4	97.9	97.7	98
94	96.6	96.7	96.5	97.2	97	97.3
93	95.7	95.8	95.7	96.5	96.2	96.6
92	94.9	94.9	94.8	95.8	95.5	96
91	94	94.1	94	95.2	94.8	95.4
90	93.2	93.3	93.2	94.5	94.1	94.8
89	92.4	92.5	92.4	94	93.5	94.2
88	91.6	91.6	91.6	93.4	92.9	93.7
87	90.9	90.9	90.9	92.9	92.3	93.2
86	90.1	90.1	90.1	92.4	91.8	92.8
85	89.3	89.3	89.4	91.9	91.3	92.4
84	88.6	88.5	88.7	91.5	90.8	92
83	87.9	87.8	88	91.1	90.4	91.6
82	87.2	87.1	87.3	90.7	90	91.3
81	86.5	86.4	86.7	90.4	89.6	91
80	85.9	85.7	86	90.1	89.2	90.7
79	85.2	85	85.4	89.8	88.9	90.5
78	84.6	84.3	84.8	89.5	88.5	90.2
77	84	83.7	84.3	89.2	88.2	90
76	83.4	83.1	83.7	89	87.9	89.8
75	82.9	82.5	83.2	88.7	87.7	89.6
74	82.3	81.9	82.7	88.5	87.4	89.4
73	81.8	81.3	82.2	88.3	87.1	89.3
72	81.3	80.8	81.7	88.1	86.9	89.1
71	80.8	80.3	81.3	87.9	86.6	88.9
70	80.3	79.8	80.8	87.7	86.4	88.8
69	79.9	79.3	80.4	87.5	86.2	88.7
68	79.5	78.8	80	87.3	86	88.5
67	79.1	78.4	79.7	87.2	85.8	88.4
66	78.7	77.9	79.3	87	85.6	88.3
65	78.3	77.5	79	86.9	85.4	88.1
64	77.9	77.1	78.6	86.7	85.3	88
63	77.6	76.7	78.3	86.6	85.1	87.9
62	77.2	76.4	78	86.5	85	87.8
61	76.9	76	77.7	86.3	84.8	87.8
60	76.6	75.6	77.4	86.2	84.7	87.7
59	76.3	75.3	77.2	86.1	84.6	87.6
58	76	75	76.9	86	84.5	87.5
57	75.7	74.7	76.7	85.9	84.4	87.4
56	75.4	74.4	76.4	85.9	84.3	87.4
55	75.1	74.1	76.2	85.8	84.2	87.3
54	74.9	73.8	75.9	85.7	84.1	87.3
53	74.6	73.5	75.7	85.6	84	87.2
52	74.4	73.2	75.5	85.6	83.9	87.2
51	74.1	73	75.3	85.5	83.8	87.1
50	73.9	72.7	75.1	85.5	83.8	87.1
49	73.7	72.5	74.9	85.4	83.7	87
48	73.5	72.2	74.7	85.4	83.7	87
47	73.3	72	74.5	85.3	83.6	87
46	73.1	71.8	74.3	85.3	83.6	86.9
45	72.9	71.6	74.1	85.2	83.5	86.9
44	72.7	71.4	74	85.2	83.5	86.9
43	72.5	71.2	73.8	85.2	83.5	86.8
42	72.3	71	73.7	85.2	83.4	86.8
41	72.2	70.9	73.5	85.1	83.4	86.8
40	72	70.7	73.3	85.1	83.4	86.8
39	71.9	70.5	73.2	85.1	83.3	86.8
38	71.7	70.4	73.1	85.1	83.3	86.7
37	71.6	70.2	72.9	85	83.3	86.7
36	71.4	70.1	72.8	85	83.3	86.7
35	71.3	69.9	72.7	85	83.2	86.7
34	71.2	69.8	72.5	85	83.2	86.7
33	71	69.6	72.4	85	83.2	86.7
32	70.9	69.5	72.3	84.9	83.2	86.7
31	70.8	69.4	72.2	84.9	83.1	86.7
30	70.7	69.3	72.1	84.9	83.1	86.6
29	70.6	69.1	72	84.9	83.1	86.6
28	70.5	69	71.9	84.9	83.1	86.6
27	70.3	68.9	71.8	84.9	83.1	86.6
26	70.2	68.8	71.7	84.9	83	86.6
25	70.1	68.7	71.6	84.8	83	86.6
24	70.1	68.6	71.5	84.8	83	86.6
23	70	68.5	71.5	84.8	83	86.6
22	69.9	68.4	71.4	84.8	83	86.6
21	69.8	68.3	71.3	84.8	82.9	86.6
20	69.7	68.2	71.2	84.8	82.9	86.6
19	69.6	68.1	71.2	84.7	82.9	86.5
18	69.6	68	71.1	84.7	82.9	86.5
17	69.5	68	71.1	84.7	82.8	86.5
16	69.4	67.9	71	84.7	82.8	86.5
15	69.4	67.8	71	84.7	82.8	86.5
14	69.3	67.8	70.9	84.7	82.8	86.5
13	69.3	67.8	70.9	84.7	82.8	86.5
12	69.3	67.7	70.8	84.7	82.8	86.5
11	69.2	67.7	70.8	84.7	82.8	86.5
10	69.2	67.6	70.8	84.7	82.8	86.5
9	69.2	67.6	70.7	84.7	82.8	86.5
8	69.1	67.5	70.7	84.7	82.8	86.5
7	69.1	67.5	70.6	84.7	82.8	86.5
6	69	67.4	70.6	84.7	82.8	86.5
5	68.9	67.4	70.5	84.7	82.8	86.5
4	68.8	67.3	70.4	84.7	82.8	86.5
3	68.7	67.2	70.3	84.6	82.8	86.5
2	68.5	67	70.1	84.6	82.8	86.5
1	68.2	66.7	69.8	84.6	82.7	86.4
0	66.4	64.7	68.2	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 Congo can expect to live to 70.7 years compared to 84.9 in Switzerland, rising to 78.3 and 86.9 at 65, and to 85.9 and 90.1 at 80 — higher than the 66.4 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 Congo and Switzerland.

Probability of surviving to a given age

Chart Table

Congo

Male

Female

Switzerland

Male

Female

1x

Age	Survival probability
	Congo			Switzerland
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	2.59%	1.52%	3.5%
99	0.19%	0.17%	0.22%	3.94%	2.39%	5.27%
98	0.3%	0.26%	0.35%	5.76%	3.62%	7.62%
97	0.46%	0.39%	0.54%	8.1%	5.27%	10.6%
96	0.69%	0.57%	0.82%	11%	7.39%	14.2%
95	1.01%	0.81%	1.2%	14.4%	9.99%	18.3%
94	1.43%	1.14%	1.72%	18.3%	13.1%	23%
93	1.98%	1.57%	2.4%	22.6%	16.6%	28.1%
92	2.68%	2.12%	3.27%	27.2%	20.7%	33.3%
91	3.55%	2.8%	4.34%	32.1%	25%	38.6%
90	4.63%	3.64%	5.65%	37%	29.6%	43.9%
89	5.9%	4.65%	7.2%	41.8%	34.3%	49%
88	7.39%	5.84%	9%	46.6%	38.9%	53.9%
87	9.11%	7.23%	11.1%	51.1%	43.5%	58.5%
86	11%	8.81%	13.3%	55.4%	47.9%	62.6%
85	13.2%	10.6%	15.9%	59.3%	52.1%	66.4%
84	15.5%	12.6%	18.6%	63%	56%	69.8%
83	18.1%	14.8%	21.5%	66.3%	59.6%	72.8%
82	20.7%	17.1%	24.5%	69.3%	62.9%	75.5%
81	23.5%	19.6%	27.5%	72%	66%	77.9%
80	26.4%	22.2%	30.7%	74.4%	68.8%	79.9%
79	29.3%	24.9%	33.8%	76.6%	71.3%	81.8%
78	32.3%	27.7%	37%	78.5%	73.6%	83.4%
77	35.3%	30.5%	40.1%	80.3%	75.7%	84.9%
76	38.2%	33.4%	43.2%	81.9%	77.6%	86.2%
75	41.2%	36.3%	46.2%	83.4%	79.4%	87.4%
74	44%	39.1%	49%	84.7%	81.1%	88.5%
73	46.8%	41.9%	51.8%	86%	82.6%	89.5%
72	49.5%	44.7%	54.4%	87.2%	84%	90.4%
71	52.1%	47.3%	56.9%	88.2%	85.3%	91.2%
70	54.5%	49.9%	59.3%	89.2%	86.5%	91.9%
69	56.9%	52.4%	61.5%	90.1%	87.6%	92.6%
68	59.1%	54.8%	63.5%	90.9%	88.6%	93.2%
67	61.2%	57%	65.5%	91.7%	89.6%	93.8%
66	63.2%	59.1%	67.3%	92.4%	90.5%	94.3%
65	65.1%	61.2%	69%	93%	91.3%	94.8%
64	66.9%	63.1%	70.6%	93.6%	92.1%	95.2%
63	68.5%	65%	72.1%	94.2%	92.7%	95.6%
62	70.1%	66.8%	73.6%	94.7%	93.4%	96%
61	71.6%	68.4%	74.9%	95.1%	93.9%	96.3%
60	73.1%	70%	76.1%	95.5%	94.4%	96.6%
59	74.4%	71.5%	77.3%	95.9%	94.9%	96.9%
58	75.6%	72.9%	78.4%	96.2%	95.3%	97.1%
57	76.8%	74.3%	79.4%	96.5%	95.7%	97.4%
56	77.9%	75.5%	80.4%	96.8%	96%	97.6%
55	79%	76.7%	81.3%	97%	96.3%	97.8%
54	80%	77.9%	82.2%	97.3%	96.6%	97.9%
53	81%	79%	83%	97.5%	96.9%	98.1%
52	81.9%	80%	83.8%	97.7%	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%	98.2%	97.8%	98.7%
47	85.7%	84.3%	87.2%	98.3%	97.9%	98.8%
46	86.4%	85%	87.8%	98.4%	98.1%	98.8%
45	87%	85.7%	88.3%	98.5%	98.2%	98.9%
44	87.6%	86.3%	88.8%	98.6%	98.3%	99%
43	88.1%	86.9%	89.3%	98.7%	98.4%	99%
42	88.6%	87.5%	89.7%	98.8%	98.5%	99.1%
41	89.1%	88%	90.2%	98.8%	98.5%	99.1%
40	89.5%	88.5%	90.6%	98.9%	98.6%	99.2%
39	90%	89%	91%	98.9%	98.7%	99.2%
38	90.4%	89.5%	91.4%	99%	98.7%	99.2%
37	90.8%	89.9%	91.7%	99%	98.8%	99.3%
36	91.1%	90.3%	92%	99.1%	98.8%	99.3%
35	91.5%	90.6%	92.4%	99.1%	98.9%	99.3%
34	91.8%	91%	92.6%	99.1%	98.9%	99.3%
33	92.1%	91.3%	92.9%	99.2%	99%	99.4%
32	92.4%	91.7%	93.2%	99.2%	99%	99.4%
31	92.7%	92%	93.4%	99.2%	99%	99.4%
30	93%	92.2%	93.7%	99.3%	99.1%	99.4%
29	93.2%	92.5%	93.9%	99.3%	99.1%	99.5%
28	93.4%	92.8%	94.1%	99.3%	99.2%	99.5%
27	93.7%	93%	94.3%	99.3%	99.2%	99.5%
26	93.9%	93.3%	94.5%	99.4%	99.2%	99.5%
25	94.1%	93.5%	94.7%	99.4%	99.3%	99.5%
24	94.3%	93.7%	94.9%	99.4%	99.3%	99.5%
23	94.5%	94%	95%	99.4%	99.3%	99.5%
22	94.7%	94.2%	95.2%	99.5%	99.4%	99.6%
21	94.8%	94.4%	95.3%	99.5%	99.4%	99.6%
20	95%	94.5%	95.4%	99.5%	99.5%	99.6%
19	95.1%	94.7%	95.6%	99.5%	99.5%	99.6%
18	95.3%	94.9%	95.7%	99.6%	99.5%	99.6%
17	95.4%	95%	95.8%	99.6%	99.5%	99.6%
16	95.5%	95.1%	95.9%	99.6%	99.6%	99.6%
15	95.6%	95.2%	95.9%	99.6%	99.6%	99.6%
14	95.7%	95.3%	96%	99.6%	99.6%	99.6%
13	95.7%	95.4%	96.1%	99.6%	99.6%	99.6%
12	95.8%	95.4%	96.1%	99.6%	99.6%	99.6%
11	95.8%	95.5%	96.2%	99.6%	99.6%	99.6%
10	95.9%	95.6%	96.2%	99.6%	99.6%	99.7%
9	96%	95.6%	96.3%	99.6%	99.6%	99.7%
8	96%	95.7%	96.4%	99.6%	99.6%	99.7%
7	96.1%	95.8%	96.4%	99.6%	99.6%	99.7%
6	96.2%	95.9%	96.5%	99.6%	99.6%	99.7%
5	96.3%	96%	96.6%	99.7%	99.6%	99.7%
4	96.4%	96.1%	96.8%	99.7%	99.6%	99.7%
3	96.6%	96.3%	96.9%	99.7%	99.6%	99.7%
2	96.9%	96.6%	97.2%	99.7%	99.7%	99.7%
1	97.3%	97%	97.7%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 95.5% in Switzerland are expected to live past 60, 54.5% and 89.2% past 70, 26.4% and 74.4% past 80, and only 4.63% 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

Congo

Male

Female

Switzerland

Male

Female

1x

Age	Probability of dying
	Congo			Switzerland
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	37%	39.1%	36.3%
99	38%	36.1%	39.4%	34.3%	36.4%	33.7%
98	36.2%	34.3%	37.4%	31.6%	33.9%	30.8%
97	34.6%	33.1%	35.6%	28.9%	31.4%	28%
96	33%	31.7%	33.8%	26.2%	28.7%	25.3%
95	31.3%	30.3%	32%	23.7%	26%	22.7%
94	29.6%	28.8%	30.1%	21.3%	23.6%	20.3%
93	27.9%	27.3%	28.2%	19.1%	21.4%	18%
92	26.2%	25.8%	26.5%	17%	19.5%	15.8%
91	24.5%	24.3%	24.7%	15.1%	17.5%	13.8%
90	23.2%	23.1%	23.2%	13.3%	15.5%	12%
89	21.6%	21.6%	21.5%	11.6%	13.6%	10.5%
88	20.2%	20.4%	20%	10.2%	11.9%	9.08%
87	18.8%	19.2%	18.6%	8.86%	10.5%	7.78%
86	17.6%	18%	17.2%	7.67%	9.2%	6.62%
85	16.3%	16.9%	15.9%	6.66%	8.02%	5.68%
84	15.1%	15.8%	14.6%	5.78%	6.96%	4.88%
83	13.9%	14.7%	13.4%	5%	6.05%	4.18%
82	12.9%	13.7%	12.3%	4.31%	5.27%	3.56%
81	11.8%	12.6%	11.2%	3.75%	4.64%	3.02%
80	11%	11.8%	10.3%	3.26%	4.07%	2.58%
79	9.99%	10.9%	9.34%	2.84%	3.56%	2.24%
78	9.21%	10.1%	8.55%	2.49%	3.12%	1.96%
77	8.41%	9.26%	7.75%	2.2%	2.76%	1.73%
76	7.74%	8.57%	7.08%	1.97%	2.47%	1.53%
75	7.11%	7.91%	6.46%	1.78%	2.24%	1.37%
74	6.5%	7.28%	5.86%	1.61%	2.05%	1.22%
73	5.94%	6.7%	5.32%	1.46%	1.87%	1.1%
72	5.43%	6.16%	4.84%	1.33%	1.7%	1%
71	4.91%	5.6%	4.34%	1.2%	1.53%	0.9%
70	4.54%	5.18%	3.99%	1.08%	1.37%	0.8%
69	4.1%	4.7%	3.58%	0.97%	1.24%	0.72%
68	3.76%	4.32%	3.27%	0.9%	1.16%	0.65%
67	3.44%	3.95%	2.97%	0.84%	1.08%	0.61%
66	3.14%	3.62%	2.7%	0.77%	0.98%	0.57%
65	2.9%	3.34%	2.49%	0.71%	0.89%	0.53%
64	2.67%	3.09%	2.28%	0.64%	0.82%	0.46%
63	2.46%	2.86%	2.09%	0.57%	0.74%	0.41%
62	2.28%	2.65%	1.93%	0.52%	0.66%	0.37%
61	2.08%	2.43%	1.76%	0.47%	0.6%	0.34%
60	1.95%	2.28%	1.65%	0.43%	0.54%	0.31%
59	1.78%	2.08%	1.5%	0.38%	0.47%	0.29%
58	1.66%	1.93%	1.4%	0.34%	0.42%	0.26%
57	1.54%	1.79%	1.3%	0.31%	0.39%	0.23%
56	1.44%	1.68%	1.22%	0.29%	0.36%	0.21%
55	1.35%	1.57%	1.14%	0.26%	0.33%	0.2%
54	1.27%	1.47%	1.07%	0.24%	0.29%	0.18%
53	1.19%	1.37%	1.01%	0.21%	0.26%	0.16%
52	1.12%	1.29%	0.95%	0.19%	0.23%	0.14%
51	1.04%	1.19%	0.88%	0.17%	0.21%	0.13%
50	0.98%	1.12%	0.84%	0.16%	0.19%	0.12%
49	0.91%	1.04%	0.78%	0.14%	0.17%	0.11%
48	0.85%	0.97%	0.73%	0.12%	0.15%	0.1%
47	0.79%	0.9%	0.68%	0.11%	0.14%	0.08%
46	0.74%	0.84%	0.64%	0.1%	0.13%	0.08%
45	0.7%	0.79%	0.61%	0.09%	0.12%	0.07%
44	0.65%	0.73%	0.57%	0.08%	0.1%	0.07%
43	0.61%	0.69%	0.54%	0.08%	0.09%	0.06%
42	0.58%	0.65%	0.51%	0.07%	0.09%	0.05%
41	0.54%	0.6%	0.48%	0.06%	0.08%	0.04%
40	0.52%	0.57%	0.46%	0.05%	0.07%	0.04%
39	0.48%	0.53%	0.43%	0.05%	0.07%	0.03%
38	0.45%	0.5%	0.41%	0.05%	0.06%	0.03%
37	0.43%	0.47%	0.38%	0.04%	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%	0.03%	0.05%	0.02%
33	0.33%	0.37%	0.3%	0.03%	0.04%	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%	0.01%
26	0.23%	0.26%	0.2%	0.03%	0.04%	0.01%
25	0.22%	0.25%	0.19%	0.03%	0.04%	0.01%
24	0.21%	0.24%	0.18%	0.03%	0.04%	0.02%
23	0.2%	0.23%	0.17%	0.03%	0.04%	0.02%
22	0.19%	0.22%	0.16%	0.03%	0.04%	0.01%
21	0.18%	0.21%	0.15%	0.02%	0.04%	0.008%
20	0.17%	0.19%	0.14%	0.02%	0.04%	0.009%
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%	0.008%
15	0.09%	0.1%	0.08%	0.01%	0.01%	0.007%
14	0.08%	0.09%	0.07%	0.009%	0.01%	0.007%
13	0.07%	0.08%	0.07%	0.007%	0.008%	0.007%
12	0.07%	0.07%	0.06%	0.006%	0.006%	0.006%
11	0.06%	0.07%	0.06%	0.005%	0.005%	0.006%
10	0.06%	0.07%	0.06%	0.005%	0.004%	0.005%
9	0.07%	0.07%	0.06%	0.005%	0.005%	0.004%
8	0.07%	0.08%	0.07%	0.005%	0.005%	0.005%
7	0.08%	0.09%	0.07%	0.005%	0.005%	0.005%
6	0.09%	0.1%	0.09%	0.005%	0.005%	0.005%
5	0.11%	0.11%	0.1%	0.005%	0.006%	0.004%
4	0.14%	0.15%	0.14%	0.006%	0.007%	0.004%
3	0.19%	0.2%	0.19%	0.007%	0.008%	0.005%
2	0.28%	0.28%	0.28%	0.008%	0.008%	0.007%
1	0.44%	0.44%	0.45%	0.02%	0.02%	0.02%
0	2.67%	2.99%	2.35%	0.3%	0.32%	0.28%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 0.3% in Switzerland, 0.28% vs 0.03% at age 30, 1.95% vs 0.43% at 60, and 11% vs 3.26% at 80.

Death rate by age in Congo vs Switzerland

Chart Table

Congo

Male

Female

Switzerland

Male

Female

1x

Age	Death rate
	Congo			Switzerland
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	811	392	1,166
99	73.5	61.5	86.1	1,351	871	1,775
98	109.4	89.1	130.4	1,820	1,226	2,350
97	160.2	128.3	193.1	2,344	1,656	2,970
96	227.9	180.2	277	2,881	2,120	3,585
95	315	246.7	385	3,402	2,594	4,160
94	422	329	518	3,893	3,081	4,667
93	552	429	678	4,317	3,568	5,050
92	704	547	865	4,634	4,025	5,255
91	872	679	1,070	4,836	4,388	5,312
90	1,072	841	1,311	4,910	4,590	5,271
89	1,273	1,006	1,549	4,875	4,659	5,136
88	1,492	1,193	1,802	4,748	4,648	4,894
87	1,715	1,387	2,053	4,529	4,563	4,549
86	1,939	1,590	2,297	4,245	4,408	4,146
85	2,150	1,791	2,515	3,949	4,181	3,771
84	2,351	1,991	2,715	3,638	3,899	3,407
83	2,519	2,170	2,871	3,312	3,604	3,047
82	2,671	2,343	3,001	2,988	3,315	2,686
81	2,773	2,477	3,069	2,697	3,059	2,351
80	2,898	2,633	3,165	2,424	2,802	2,060
79	2,932	2,706	3,161	2,175	2,539	1,829
78	2,977	2,793	3,163	1,958	2,296	1,639
77	2,969	2,829	3,109	1,770	2,088	1,469
76	2,960	2,862	3,058	1,613	1,919	1,321
75	2,926	2,871	2,980	1,482	1,780	1,195
74	2,861	2,849	2,875	1,364	1,658	1,083
73	2,778	2,808	2,754	1,260	1,546	986
72	2,690	2,752	2,634	1,160	1,430	899
71	2,558	2,649	2,472	1,061	1,310	818
70	2,476	2,586	2,367	962	1,187	736
69	2,334	2,463	2,201	877	1,088	663
68	2,223	2,365	2,075	819	1,026	607
67	2,103	2,254	1,942	770	968	568
66	1,986	2,143	1,819	715	888	539
65	1,886	2,046	1,717	657	812	500
64	1,784	1,953	1,609	598	752	439
63	1,689	1,862	1,510	540	684	391
62	1,598	1,773	1,420	490	619	356
61	1,493	1,666	1,319	449	566	326
60	1,426	1,596	1,254	409	512	301
59	1,327	1,491	1,163	366	450	278.7
58	1,255	1,411	1,098	328	400	254.4
57	1,182	1,332	1,032	299.8	371	227
56	1,123	1,266	980	277.6	348	205.6
55	1,067	1,204	927	257.1	318	194.8
54	1,014	1,144	881	233.1	284.3	180.9
53	962	1,084	836	205.5	252.9	157.2
52	915	1,030	797	182.7	227.9	136.6
51	857	966	747	166.4	207.7	124.2
50	820	921	716	153.6	188.4	118.4
49	765	859	669	139.6	168.2	110.6
48	721	807	631	122.7	148.4	96.4
47	676	757	593	107.9	132.7	82.6
46	638	712	561	99.2	123.3	74.6
45	605	673	534	92.2	114.1	69.7
44	569	631	505	83.3	101.5	64.7
43	539	596	481	74.9	91.8	57.5
42	513	565	459	67.9	86.6	48.7
41	482	529	434	59.7	75.9	43.1
40	461	506	416	53.2	67.1	39
39	434	474	393	49.9	65.1	34.3
38	411	448	373	47.4	62.9	31.4
37	387	422	352	43.3	54.8	31.6
36	367	399	334	39.3	47.2	31.1
35	347	377	316	36.1	44.5	27.4
34	326	355	296.8	34.4	44.5	23.9
33	308	336	280.5	33.9	44.3	23.1
32	292.4	319	265.8	32.3	41.8	22.5
31	275.1	301	249.1	29.2	37.4	20.6
30	264.4	288.9	239.4	28.2	35.8	20.2
29	250.5	274.3	226.3	27.8	36.1	19.1
28	238.5	262.8	213.9	26.1	36.1	15.4
27	227.6	252.1	202.6	25	36.6	12.6
26	216.8	242.3	190.8	26	38.4	12.5
25	206.9	234.1	179.3	27.5	39.6	14.5
24	197.6	225.7	169	28	38.3	17
23	188.3	217.3	158.7	27.1	37.2	16.4
22	178.5	207.8	148.7	25.4	38.5	11.5
21	168	196.6	138.8	24.5	39.8	8.4
20	158	184.2	131.3	24	38.2	8.96
19	146.1	170.3	121.4	23.5	34.5	11.8
18	133.5	155.1	111.4	21.7	29.1	13.8
17	117.2	133.7	100.4	17	22.5	11.2
16	101.9	113.8	89.7	12.5	16.6	8.23
15	88	96.3	79.6	10.1	12.7	7.44
14	76.3	82.8	69.7	8.64	9.9	7.31
13	68.1	73.3	62.8	7.36	7.93	6.76
12	63	68	58	6.05	6.11	5.98
11	60.8	65.6	55.9	5.04	4.6	5.51
10	61	65.2	56.6	4.54	4.09	5.02
9	63.5	67.8	59.1	4.56	4.64	4.48
8	68.7	73.3	64	4.69	4.68	4.71
7	76.9	81.7	72	4.74	4.51	4.98
6	87.5	91.9	82.9	4.82	5.05	4.58
5	104	107.7	100.1	5.21	6.16	4.2
4	135.6	139.5	131.7	5.93	7.31	4.48
3	186.3	189.4	183.1	6.53	7.74	5.26
2	269.7	269.8	269.5	7.66	8.22	7.07
1	433	425	441	22.5	22.6	22.4
0	2,669	2,985	2,347	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 Congo, the most common age of death is 78, compared to 90 in Switzerland. The median age of death is 71.8 in the 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 Congo and Switzerland more than their death rates.

Life expectancy in other countries

+ -

1x