Life Expectancy in Congo vs Liechtenstein (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

Liechtenstein

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	102.8	102.3	102.9
99	101	101	101	102	101.5	102.1
98	100.1	100.2	100.1	101.2	100.6	101.3
97	99.2	99.3	99.1	100.4	99.8	100.5
96	98.3	98.4	98.2	99.6	99	99.8
95	97.4	97.5	97.4	98.8	98.2	99.1
94	96.6	96.7	96.5	98.1	97.5	98.3
93	95.7	95.8	95.7	97.4	96.7	97.7
92	94.9	94.9	94.8	96.7	96	97
91	94	94.1	94	96	95.3	96.4
90	93.2	93.3	93.2	95.4	94.6	95.8
89	92.4	92.5	92.4	94.8	94	95.2
88	91.6	91.6	91.6	94.2	93.3	94.6
87	90.9	90.9	90.9	93.6	92.7	94.1
86	90.1	90.1	90.1	93	92.2	93.5
85	89.3	89.3	89.4	92.5	91.6	93
84	88.6	88.5	88.7	92	91.1	92.6
83	87.9	87.8	88	91.5	90.5	92.1
82	87.2	87.1	87.3	91	90.1	91.7
81	86.5	86.4	86.7	90.6	89.6	91.3
80	85.9	85.7	86	90.2	89.2	90.9
79	85.2	85	85.4	89.8	88.8	90.6
78	84.6	84.3	84.8	89.4	88.4	90.3
77	84	83.7	84.3	89.1	88	90
76	83.4	83.1	83.7	88.8	87.7	89.7
75	82.9	82.5	83.2	88.5	87.3	89.5
74	82.3	81.9	82.7	88.2	87	89.2
73	81.8	81.3	82.2	88	86.8	89
72	81.3	80.8	81.7	87.7	86.5	88.8
71	80.8	80.3	81.3	87.5	86.2	88.6
70	80.3	79.8	80.8	87.3	86	88.5
69	79.9	79.3	80.4	87.1	85.8	88.3
68	79.5	78.8	80	86.9	85.6	88.2
67	79.1	78.4	79.7	86.8	85.4	88
66	78.7	77.9	79.3	86.6	85.2	87.9
65	78.3	77.5	79	86.5	85	87.8
64	77.9	77.1	78.6	86.4	84.9	87.7
63	77.6	76.7	78.3	86.2	84.7	87.6
62	77.2	76.4	78	86.1	84.6	87.6
61	76.9	76	77.7	86	84.5	87.5
60	76.6	75.6	77.4	85.9	84.4	87.4
59	76.3	75.3	77.2	85.9	84.3	87.3
58	76	75	76.9	85.8	84.2	87.3
57	75.7	74.7	76.7	85.7	84.1	87.2
56	75.4	74.4	76.4	85.6	84	87.2
55	75.1	74.1	76.2	85.5	83.9	87.1
54	74.9	73.8	75.9	85.5	83.8	87.1
53	74.6	73.5	75.7	85.4	83.8	87
52	74.4	73.2	75.5	85.4	83.7	87
51	74.1	73	75.3	85.3	83.7	86.9
50	73.9	72.7	75.1	85.3	83.6	86.9
49	73.7	72.5	74.9	85.2	83.6	86.8
48	73.5	72.2	74.7	85.2	83.5	86.8
47	73.3	72	74.5	85.2	83.5	86.8
46	73.1	71.8	74.3	85.1	83.4	86.7
45	72.9	71.6	74.1	85.1	83.4	86.7
44	72.7	71.4	74	85.1	83.4	86.7
43	72.5	71.2	73.8	85.1	83.4	86.7
42	72.3	71	73.7	85	83.3	86.6
41	72.2	70.9	73.5	85	83.3	86.6
40	72	70.7	73.3	85	83.3	86.6
39	71.9	70.5	73.2	85	83.3	86.6
38	71.7	70.4	73.1	85	83.3	86.6
37	71.6	70.2	72.9	84.9	83.2	86.5
36	71.4	70.1	72.8	84.9	83.2	86.5
35	71.3	69.9	72.7	84.9	83.2	86.5
34	71.2	69.8	72.5	84.9	83.2	86.5
33	71	69.6	72.4	84.9	83.2	86.5
32	70.9	69.5	72.3	84.9	83.2	86.5
31	70.8	69.4	72.2	84.8	83.2	86.4
30	70.7	69.3	72.1	84.8	83.1	86.4
29	70.6	69.1	72	84.8	83.1	86.4
28	70.5	69	71.9	84.8	83.1	86.4
27	70.3	68.9	71.8	84.8	83.1	86.4
26	70.2	68.8	71.7	84.8	83.1	86.4
25	70.1	68.7	71.6	84.8	83.1	86.4
24	70.1	68.6	71.5	84.8	83.1	86.4
23	70	68.5	71.5	84.7	83.1	86.3
22	69.9	68.4	71.4	84.7	83	86.3
21	69.8	68.3	71.3	84.7	83	86.3
20	69.7	68.2	71.2	84.7	83	86.3
19	69.6	68.1	71.2	84.7	83	86.3
18	69.6	68	71.1	84.7	83	86.3
17	69.5	68	71.1	84.7	83	86.3
16	69.4	67.9	71	84.7	83	86.3
15	69.4	67.8	71	84.6	83	86.3
14	69.3	67.8	70.9	84.6	82.9	86.3
13	69.3	67.8	70.9	84.6	82.9	86.2
12	69.3	67.7	70.8	84.6	82.9	86.2
11	69.2	67.7	70.8	84.6	82.9	86.2
10	69.2	67.6	70.8	84.6	82.9	86.2
9	69.2	67.6	70.7	84.6	82.9	86.2
8	69.1	67.5	70.7	84.6	82.9	86.2
7	69.1	67.5	70.6	84.6	82.9	86.2
6	69	67.4	70.6	84.6	82.9	86.2
5	68.9	67.4	70.5	84.6	82.9	86.2
4	68.8	67.3	70.4	84.6	82.9	86.2
3	68.7	67.2	70.3	84.6	82.9	86.2
2	68.5	67	70.1	84.5	82.8	86.1
1	68.2	66.7	69.8	84.5	82.8	86.1
0	66.4	64.7	68.2	84.1	82.4	85.6

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 84.8 in Liechtenstein, rising to 78.3 and 86.5 at 65, and to 85.9 and 90.2 at 80 — higher than the 66.4 and 84.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Congo

Male

Female

Liechtenstein

Male

Female

1x

Age	Survival probability
	Congo			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	4.72%	2.39%	6.58%
99	0.19%	0.17%	0.22%	6.27%	3.42%	8.63%
98	0.3%	0.26%	0.35%	8.18%	4.75%	11.1%
97	0.46%	0.39%	0.54%	10.4%	6.43%	13.9%
96	0.69%	0.57%	0.82%	13.1%	8.47%	17%
95	1.01%	0.81%	1.2%	16%	10.9%	20.5%
94	1.43%	1.14%	1.72%	19.3%	13.7%	24.2%
93	1.98%	1.57%	2.4%	22.9%	16.9%	28.2%
92	2.68%	2.12%	3.27%	26.6%	20.3%	32.4%
91	3.55%	2.8%	4.34%	30.5%	24.1%	36.6%
90	4.63%	3.64%	5.65%	34.6%	28%	40.9%
89	5.9%	4.65%	7.2%	38.7%	32.1%	45.1%
88	7.39%	5.84%	9%	42.9%	36.3%	49.3%
87	9.11%	7.23%	11.1%	47%	40.5%	53.4%
86	11%	8.81%	13.3%	51%	44.7%	57.3%
85	13.2%	10.6%	15.9%	55%	48.8%	61.1%
84	15.5%	12.6%	18.6%	58.7%	52.8%	64.8%
83	18.1%	14.8%	21.5%	62.4%	56.7%	68.2%
82	20.7%	17.1%	24.5%	65.8%	60.3%	71.3%
81	23.5%	19.6%	27.5%	68.9%	63.7%	74.2%
80	26.4%	22.2%	30.7%	71.8%	66.9%	76.8%
79	29.3%	24.9%	33.8%	74.5%	69.8%	79.2%
78	32.3%	27.7%	37%	76.9%	72.5%	81.3%
77	35.3%	30.5%	40.1%	79.1%	75%	83.2%
76	38.2%	33.4%	43.2%	81.1%	77.3%	84.9%
75	41.2%	36.3%	46.2%	83%	79.4%	86.4%
74	44%	39.1%	49%	84.6%	81.4%	87.7%
73	46.8%	41.9%	51.8%	86.1%	83.2%	88.9%
72	49.5%	44.7%	54.4%	87.4%	84.8%	90%
71	52.1%	47.3%	56.9%	88.6%	86.2%	91%
70	54.5%	49.9%	59.3%	89.7%	87.6%	91.8%
69	56.9%	52.4%	61.5%	90.7%	88.8%	92.6%
68	59.1%	54.8%	63.5%	91.6%	89.9%	93.2%
67	61.2%	57%	65.5%	92.3%	90.8%	93.8%
66	63.2%	59.1%	67.3%	93%	91.7%	94.3%
65	65.1%	61.2%	69%	93.6%	92.4%	94.8%
64	66.9%	63.1%	70.6%	94.2%	93.1%	95.2%
63	68.5%	65%	72.1%	94.6%	93.7%	95.5%
62	70.1%	66.8%	73.6%	95.1%	94.3%	95.8%
61	71.6%	68.4%	74.9%	95.4%	94.8%	96.1%
60	73.1%	70%	76.1%	95.8%	95.2%	96.4%
59	74.4%	71.5%	77.3%	96.1%	95.7%	96.6%
58	75.6%	72.9%	78.4%	96.4%	96%	96.8%
57	76.8%	74.3%	79.4%	96.7%	96.4%	97%
56	77.9%	75.5%	80.4%	96.9%	96.7%	97.2%
55	79%	76.7%	81.3%	97.2%	96.9%	97.4%
54	80%	77.9%	82.2%	97.3%	97.2%	97.5%
53	81%	79%	83%	97.5%	97.4%	97.6%
52	81.9%	80%	83.8%	97.7%	97.6%	97.8%
51	82.8%	81%	84.6%	97.8%	97.7%	97.9%
50	83.6%	81.9%	85.3%	97.9%	97.9%	98%
49	84.3%	82.8%	86%	98%	98%	98.1%
48	85.1%	83.6%	86.6%	98.2%	98.1%	98.2%
47	85.7%	84.3%	87.2%	98.2%	98.2%	98.3%
46	86.4%	85%	87.8%	98.3%	98.3%	98.3%
45	87%	85.7%	88.3%	98.4%	98.4%	98.4%
44	87.6%	86.3%	88.8%	98.5%	98.5%	98.5%
43	88.1%	86.9%	89.3%	98.5%	98.5%	98.5%
42	88.6%	87.5%	89.7%	98.6%	98.6%	98.6%
41	89.1%	88%	90.2%	98.6%	98.6%	98.6%
40	89.5%	88.5%	90.6%	98.7%	98.7%	98.7%
39	90%	89%	91%	98.7%	98.7%	98.7%
38	90.4%	89.5%	91.4%	98.8%	98.8%	98.8%
37	90.8%	89.9%	91.7%	98.8%	98.8%	98.8%
36	91.1%	90.3%	92%	98.8%	98.8%	98.8%
35	91.5%	90.6%	92.4%	98.9%	98.9%	98.9%
34	91.8%	91%	92.6%	98.9%	98.9%	98.9%
33	92.1%	91.3%	92.9%	98.9%	98.9%	98.9%
32	92.4%	91.7%	93.2%	98.9%	98.9%	98.9%
31	92.7%	92%	93.4%	99%	99%	99%
30	93%	92.2%	93.7%	99%	99%	99%
29	93.2%	92.5%	93.9%	99%	99%	99%
28	93.4%	92.8%	94.1%	99%	99%	99%
27	93.7%	93%	94.3%	99.1%	99.1%	99.1%
26	93.9%	93.3%	94.5%	99.1%	99.1%	99.1%
25	94.1%	93.5%	94.7%	99.1%	99.1%	99.1%
24	94.3%	93.7%	94.9%	99.1%	99.1%	99.1%
23	94.5%	94%	95%	99.1%	99.1%	99.1%
22	94.7%	94.2%	95.2%	99.2%	99.2%	99.2%
21	94.8%	94.4%	95.3%	99.2%	99.2%	99.2%
20	95%	94.5%	95.4%	99.2%	99.2%	99.2%
19	95.1%	94.7%	95.6%	99.2%	99.2%	99.2%
18	95.3%	94.9%	95.7%	99.2%	99.3%	99.2%
17	95.4%	95%	95.8%	99.3%	99.3%	99.2%
16	95.5%	95.1%	95.9%	99.3%	99.3%	99.3%
15	95.6%	95.2%	95.9%	99.3%	99.3%	99.3%
14	95.7%	95.3%	96%	99.3%	99.3%	99.3%
13	95.7%	95.4%	96.1%	99.3%	99.3%	99.3%
12	95.8%	95.4%	96.1%	99.3%	99.3%	99.3%
11	95.8%	95.5%	96.2%	99.3%	99.3%	99.3%
10	95.9%	95.6%	96.2%	99.3%	99.4%	99.3%
9	96%	95.6%	96.3%	99.3%	99.4%	99.3%
8	96%	95.7%	96.4%	99.3%	99.4%	99.3%
7	96.1%	95.8%	96.4%	99.4%	99.4%	99.3%
6	96.2%	95.9%	96.5%	99.4%	99.4%	99.3%
5	96.3%	96%	96.6%	99.4%	99.4%	99.4%
4	96.4%	96.1%	96.8%	99.4%	99.4%	99.4%
3	96.6%	96.3%	96.9%	99.4%	99.4%	99.4%
2	96.9%	96.6%	97.2%	99.4%	99.5%	99.4%
1	97.3%	97%	97.7%	99.5%	99.5%	99.5%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 95.8% in Liechtenstein are expected to live past 60, 54.5% and 89.7% past 70, 26.4% and 71.8% past 80, and only 4.63% and 34.6% 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

Liechtenstein

Male

Female

1x

Age	Probability of dying
	Congo			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	26.4%	32%	25.3%
99	38%	36.1%	39.4%	24.8%	30%	23.7%
98	36.2%	34.3%	37.4%	23.3%	28%	21.9%
97	34.6%	33.1%	35.6%	21.7%	26.1%	20.2%
96	33%	31.7%	33.8%	20%	24.1%	18.6%
95	31.3%	30.3%	32%	18.6%	22.3%	17%
94	29.6%	28.8%	30.1%	17.1%	20.4%	15.5%
93	27.9%	27.3%	28.2%	15.4%	18.7%	14.1%
92	26.2%	25.8%	26.5%	14%	17.1%	12.8%
91	24.5%	24.3%	24.7%	12.9%	15.5%	11.6%
90	23.2%	23.1%	23.2%	11.8%	14.1%	10.4%
89	21.6%	21.6%	21.5%	10.7%	12.8%	9.41%
88	20.2%	20.4%	20%	9.63%	11.5%	8.48%
87	18.8%	19.2%	18.6%	8.72%	10.4%	7.65%
86	17.6%	18%	17.2%	7.97%	9.39%	6.9%
85	16.3%	16.9%	15.9%	7.15%	8.44%	6.22%
84	15.1%	15.8%	14.6%	6.41%	7.57%	5.58%
83	13.9%	14.7%	13.4%	5.8%	6.77%	4.99%
82	12.9%	13.7%	12.3%	5.19%	6.04%	4.43%
81	11.8%	12.6%	11.2%	4.58%	5.36%	3.9%
80	11%	11.8%	10.3%	4.06%	4.76%	3.42%
79	9.99%	10.9%	9.34%	3.57%	4.22%	2.98%
78	9.21%	10.1%	8.55%	3.14%	3.74%	2.6%
77	8.41%	9.26%	7.75%	2.79%	3.33%	2.26%
76	7.74%	8.57%	7.08%	2.48%	2.97%	1.98%
75	7.11%	7.91%	6.46%	2.2%	2.65%	1.74%
74	6.5%	7.28%	5.86%	1.93%	2.38%	1.53%
73	5.94%	6.7%	5.32%	1.71%	2.13%	1.35%
72	5.43%	6.16%	4.84%	1.54%	1.91%	1.19%
71	4.91%	5.6%	4.34%	1.37%	1.71%	1.05%
70	4.54%	5.18%	3.99%	1.22%	1.52%	0.93%
69	4.1%	4.7%	3.58%	1.08%	1.35%	0.82%
68	3.76%	4.32%	3.27%	0.95%	1.2%	0.71%
67	3.44%	3.95%	2.97%	0.83%	1.06%	0.62%
66	3.14%	3.62%	2.7%	0.73%	0.93%	0.54%
65	2.9%	3.34%	2.49%	0.64%	0.82%	0.47%
64	2.67%	3.09%	2.28%	0.57%	0.73%	0.41%
63	2.46%	2.86%	2.09%	0.51%	0.65%	0.36%
62	2.28%	2.65%	1.93%	0.45%	0.59%	0.32%
61	2.08%	2.43%	1.76%	0.41%	0.53%	0.29%
60	1.95%	2.28%	1.65%	0.37%	0.48%	0.27%
59	1.78%	2.08%	1.5%	0.34%	0.44%	0.24%
58	1.66%	1.93%	1.4%	0.3%	0.39%	0.22%
57	1.54%	1.79%	1.3%	0.28%	0.35%	0.2%
56	1.44%	1.68%	1.22%	0.25%	0.31%	0.19%
55	1.35%	1.57%	1.14%	0.22%	0.27%	0.17%
54	1.27%	1.47%	1.07%	0.2%	0.24%	0.16%
53	1.19%	1.37%	1.01%	0.17%	0.21%	0.14%
52	1.12%	1.29%	0.95%	0.16%	0.19%	0.13%
51	1.04%	1.19%	0.88%	0.14%	0.17%	0.12%
50	0.98%	1.12%	0.84%	0.13%	0.15%	0.11%
49	0.91%	1.04%	0.78%	0.12%	0.13%	0.1%
48	0.85%	0.97%	0.73%	0.11%	0.12%	0.09%
47	0.79%	0.9%	0.68%	0.1%	0.11%	0.09%
46	0.74%	0.84%	0.64%	0.09%	0.09%	0.08%
45	0.7%	0.79%	0.61%	0.08%	0.08%	0.07%
44	0.65%	0.73%	0.57%	0.07%	0.07%	0.06%
43	0.61%	0.69%	0.54%	0.06%	0.06%	0.06%
42	0.58%	0.65%	0.51%	0.05%	0.06%	0.05%
41	0.54%	0.6%	0.48%	0.05%	0.05%	0.05%
40	0.52%	0.57%	0.46%	0.05%	0.05%	0.05%
39	0.48%	0.53%	0.43%	0.04%	0.04%	0.04%
38	0.45%	0.5%	0.41%	0.04%	0.04%	0.04%
37	0.43%	0.47%	0.38%	0.04%	0.03%	0.04%
36	0.4%	0.44%	0.36%	0.03%	0.03%	0.03%
35	0.38%	0.42%	0.34%	0.03%	0.03%	0.03%
34	0.36%	0.39%	0.32%	0.03%	0.03%	0.03%
33	0.33%	0.37%	0.3%	0.03%	0.03%	0.03%
32	0.32%	0.35%	0.29%	0.03%	0.03%	0.03%
31	0.3%	0.33%	0.27%	0.03%	0.02%	0.03%
30	0.28%	0.31%	0.26%	0.02%	0.02%	0.03%
29	0.27%	0.3%	0.24%	0.02%	0.02%	0.02%
28	0.26%	0.28%	0.23%	0.02%	0.02%	0.02%
27	0.24%	0.27%	0.21%	0.02%	0.02%	0.02%
26	0.23%	0.26%	0.2%	0.02%	0.02%	0.02%
25	0.22%	0.25%	0.19%	0.02%	0.02%	0.02%
24	0.21%	0.24%	0.18%	0.02%	0.02%	0.02%
23	0.2%	0.23%	0.17%	0.02%	0.02%	0.02%
22	0.19%	0.22%	0.16%	0.02%	0.03%	0.02%
21	0.18%	0.21%	0.15%	0.02%	0.02%	0.02%
20	0.17%	0.19%	0.14%	0.02%	0.02%	0.02%
19	0.15%	0.18%	0.13%	0.02%	0.02%	0.02%
18	0.14%	0.16%	0.12%	0.02%	0.02%	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%	0.01%
15	0.09%	0.1%	0.08%	0.01%	0.01%	0.01%
14	0.08%	0.09%	0.07%	0.01%	0.01%	0.009%
13	0.07%	0.08%	0.07%	0.009%	0.009%	0.008%
12	0.07%	0.07%	0.06%	0.008%	0.008%	0.008%
11	0.06%	0.07%	0.06%	0.008%	0.008%	0.007%
10	0.06%	0.07%	0.06%	0.008%	0.008%	0.007%
9	0.07%	0.07%	0.06%	0.008%	0.008%	0.008%
8	0.07%	0.08%	0.07%	0.009%	0.009%	0.008%
7	0.08%	0.09%	0.07%	0.01%	0.01%	0.01%
6	0.09%	0.1%	0.09%	0.01%	0.01%	0.01%
5	0.11%	0.11%	0.1%	0.01%	0.01%	0.01%
4	0.14%	0.15%	0.14%	0.02%	0.01%	0.02%
3	0.19%	0.2%	0.19%	0.02%	0.02%	0.02%
2	0.28%	0.28%	0.28%	0.02%	0.02%	0.03%
1	0.44%	0.44%	0.45%	0.03%	0.02%	0.04%
0	2.67%	2.99%	2.35%	0.53%	0.53%	0.54%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 0.53% in Liechtenstein, 0.28% vs 0.02% at age 30, 1.95% vs 0.37% at 60, and 11% vs 4.06% at 80.

Death rate by age in Congo vs Liechtenstein

Chart Table

Congo

Male

Female

Liechtenstein

Male

Female

1x

Age	Death rate
	Congo			Liechtenstein
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	1,195	648	1,703
99	73.5	61.5	86.1	1,554	1,027	2,048
98	109.4	89.1	130.4	1,907	1,332	2,424
97	160.2	128.3	193.1	2,268	1,676	2,798
96	227.9	180.2	277	2,609	2,045	3,155
95	315	246.7	385	2,987	2,426	3,481
94	422	329	518	3,302	2,801	3,761
93	552	429	678	3,522	3,153	3,985
92	704	547	865	3,723	3,469	4,144
91	872	679	1,070	3,939	3,735	4,237
90	1,072	841	1,311	4,072	3,945	4,268
89	1,273	1,006	1,549	4,145	4,096	4,245
88	1,492	1,193	1,802	4,129	4,186	4,181
87	1,715	1,387	2,053	4,097	4,218	4,082
86	1,939	1,590	2,297	4,069	4,195	3,956
85	2,150	1,791	2,515	3,929	4,121	3,801
84	2,351	1,991	2,715	3,763	4,000	3,617
83	2,519	2,170	2,871	3,617	3,837	3,402
82	2,671	2,343	3,001	3,410	3,639	3,159
81	2,773	2,477	3,069	3,159	3,417	2,895
80	2,898	2,633	3,165	2,916	3,182	2,625
79	2,932	2,706	3,161	2,660	2,945	2,359
78	2,977	2,793	3,163	2,417	2,714	2,110
77	2,969	2,829	3,109	2,207	2,497	1,883
76	2,960	2,862	3,058	2,009	2,294	1,681
75	2,926	2,871	2,980	1,827	2,107	1,501
74	2,861	2,849	2,875	1,637	1,933	1,343
73	2,778	2,808	2,754	1,470	1,771	1,201
72	2,690	2,752	2,634	1,347	1,618	1,074
71	2,558	2,649	2,472	1,214	1,472	958
70	2,476	2,586	2,367	1,091	1,334	852
69	2,334	2,463	2,201	980	1,202	755
68	2,223	2,365	2,075	869	1,078	665
67	2,103	2,254	1,942	767	962	583
66	1,986	2,143	1,819	682	857	510
65	1,886	2,046	1,717	602	762	446
64	1,784	1,953	1,609	536	680	392
63	1,689	1,862	1,510	478	611	347
62	1,598	1,773	1,420	426	552	310
61	1,493	1,666	1,319	392	503	280.9
60	1,426	1,596	1,254	358	459	256.3
59	1,327	1,491	1,163	324	418	235.3
58	1,255	1,411	1,098	294.1	379	216.4
57	1,182	1,332	1,032	267.7	340	198.6
56	1,123	1,266	980	245.6	302	181.8
55	1,067	1,204	927	217.6	266.1	165.9
54	1,014	1,144	881	190.4	233.9	151.4
53	962	1,084	836	170.4	206	138.3
52	915	1,030	797	154.3	182.4	126.8
51	857	966	747	139	162.5	116.7
50	820	921	716	126.5	145.6	107.6
49	765	859	669	115.9	130.6	99.2
48	721	807	631	104.2	116.8	91.3
47	676	757	593	93.6	103.8	83.6
46	638	712	561	84	91.7	76.2
45	605	673	534	75.1	80.6	69.2
44	569	631	505	67	70.7	62.8
43	539	596	481	59.6	62.2	57.2
42	513	565	459	53.6	55.1	52.3
41	482	529	434	48.7	49.3	48.1
40	461	506	416	44.5	44.5	44.6
39	434	474	393	41.1	40.5	41.5
38	411	448	373	38.1	37.3	38.8
37	387	422	352	35.4	34.5	36.4
36	367	399	334	33.1	32.1	34.2
35	347	377	316	31.1	30.1	32.1
34	326	355	296.8	29.3	28.4	30.3
33	308	336	280.5	27.8	26.9	28.6
32	292.4	319	265.8	26.4	25.6	27.2
31	275.1	301	249.1	25.2	24.6	25.9
30	264.4	288.9	239.4	24.3	23.8	24.8
29	250.5	274.3	226.3	23.6	23.3	23.9
28	238.5	262.8	213.9	23	23.1	23
27	227.6	252.1	202.6	22.6	23.1	22.2
26	216.8	242.3	190.8	22.3	23.3	21.4
25	206.9	234.1	179.3	22.2	23.7	20.6
24	197.6	225.7	169	22	24.1	19.8
23	188.3	217.3	158.7	21.8	24.6	19
22	178.5	207.8	148.7	21.6	24.8	18.2
21	168	196.6	138.8	21	24.7	17.3
20	158	184.2	131.3	20.1	24	16.4
19	146.1	170.3	121.4	19.1	22.5	15.3
18	133.5	155.1	111.4	17.5	20.4	14
17	117.2	133.7	100.4	15.5	17.8	12.7
16	101.9	113.8	89.7	13.3	15	11.4
15	88	96.3	79.6	11.4	12.5	10.1
14	76.3	82.8	69.7	9.8	10.5	9.02
13	68.1	73.3	62.8	8.67	9.11	8.18
12	63	68	58	7.95	8.24	7.6
11	60.8	65.6	55.9	7.62	7.86	7.31
10	61	65.2	56.6	7.63	7.91	7.31
9	63.5	67.8	59.1	7.99	8.32	7.63
8	68.7	73.3	64	8.7	9.05	8.33
7	76.9	81.7	72	9.77	10	9.49
6	87.5	91.9	82.9	11.2	11.2	11.2
5	104	107.7	100.1	13.2	12.6	13.8
4	135.6	139.5	131.7	15.6	14.1	17.5
3	186.3	189.4	183.1	18.8	15.7	22.5
2	269.7	269.8	269.5	23	17.4	29.4
1	433	425	441	28.2	19.4	38.6
0	2,669	2,985	2,347	533	527	541

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 Liechtenstein. The median age of death is 71.8 in the Congo and 86.3 in Liechtenstein, 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 Liechtenstein more than their death rates.

Life expectancy in other countries

+ -

1x