Life Expectancy in Congo vs Mauritius (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

Mauritius

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			Mauritius
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	102.6	102.3	102.7
99	101	101	101	101.7	101.5	101.8
98	100.1	100.2	100.1	100.9	100.7	101
97	99.2	99.3	99.1	100.1	99.9	100.1
96	98.3	98.4	98.2	99.2	99.1	99.3
95	97.4	97.5	97.4	98.4	98.2	98.5
94	96.6	96.7	96.5	97.7	97.4	97.8
93	95.7	95.8	95.7	96.9	96.6	97
92	94.9	94.9	94.8	96.1	95.9	96.3
91	94	94.1	94	95.4	95.1	95.6
90	93.2	93.3	93.2	94.7	94.3	94.9
89	92.4	92.5	92.4	94	93.6	94.2
88	91.6	91.6	91.6	93.3	92.9	93.5
87	90.9	90.9	90.9	92.6	92.1	92.9
86	90.1	90.1	90.1	91.9	91.4	92.2
85	89.3	89.3	89.4	91.3	90.8	91.7
84	88.6	88.5	88.7	90.7	90.1	91.1
83	87.9	87.8	88	90.1	89.5	90.6
82	87.2	87.1	87.3	89.6	88.9	90.1
81	86.5	86.4	86.7	89.1	88.3	89.6
80	85.9	85.7	86	88.5	87.7	89.1
79	85.2	85	85.4	88	87.2	88.7
78	84.6	84.3	84.8	87.5	86.6	88.2
77	84	83.7	84.3	87	86.1	87.8
76	83.4	83.1	83.7	86.6	85.6	87.4
75	82.9	82.5	83.2	86.1	85.1	87
74	82.3	81.9	82.7	85.7	84.6	86.6
73	81.8	81.3	82.2	85.3	84.2	86.2
72	81.3	80.8	81.7	84.9	83.7	85.9
71	80.8	80.3	81.3	84.5	83.3	85.6
70	80.3	79.8	80.8	84.1	82.9	85.2
69	79.9	79.3	80.4	83.8	82.5	84.9
68	79.5	78.8	80	83.4	82.1	84.7
67	79.1	78.4	79.7	83.1	81.7	84.4
66	78.7	77.9	79.3	82.8	81.3	84.1
65	78.3	77.5	79	82.4	80.9	83.9
64	77.9	77.1	78.6	82.1	80.5	83.7
63	77.6	76.7	78.3	81.9	80.2	83.4
62	77.2	76.4	78	81.6	79.9	83.2
61	76.9	76	77.7	81.3	79.6	83
60	76.6	75.6	77.4	81.1	79.3	82.9
59	76.3	75.3	77.2	80.9	79	82.7
58	76	75	76.9	80.7	78.7	82.5
57	75.7	74.7	76.7	80.4	78.5	82.4
56	75.4	74.4	76.4	80.2	78.3	82.2
55	75.1	74.1	76.2	80	78	82.1
54	74.9	73.8	75.9	79.9	77.8	81.9
53	74.6	73.5	75.7	79.7	77.6	81.8
52	74.4	73.2	75.5	79.5	77.3	81.7
51	74.1	73	75.3	79.3	77.1	81.6
50	73.9	72.7	75.1	79.2	76.9	81.5
49	73.7	72.5	74.9	79	76.7	81.4
48	73.5	72.2	74.7	78.9	76.5	81.2
47	73.3	72	74.5	78.7	76.4	81.1
46	73.1	71.8	74.3	78.6	76.2	81
45	72.9	71.6	74.1	78.5	76.1	81
44	72.7	71.4	74	78.3	75.9	80.9
43	72.5	71.2	73.8	78.2	75.8	80.8
42	72.3	71	73.7	78.1	75.7	80.7
41	72.2	70.9	73.5	78	75.5	80.6
40	72	70.7	73.3	77.9	75.4	80.6
39	71.9	70.5	73.2	77.8	75.3	80.5
38	71.7	70.4	73.1	77.7	75.2	80.5
37	71.6	70.2	72.9	77.7	75.1	80.4
36	71.4	70.1	72.8	77.6	75	80.4
35	71.3	69.9	72.7	77.5	74.9	80.3
34	71.2	69.8	72.5	77.4	74.8	80.3
33	71	69.6	72.4	77.4	74.7	80.2
32	70.9	69.5	72.3	77.3	74.6	80.2
31	70.8	69.4	72.2	77.2	74.5	80.1
30	70.7	69.3	72.1	77.2	74.5	80.1
29	70.6	69.1	72	77.1	74.4	80.1
28	70.5	69	71.9	77.1	74.3	80
27	70.3	68.9	71.8	77	74.2	80
26	70.2	68.8	71.7	77	74.2	80
25	70.1	68.7	71.6	76.9	74.1	79.9
24	70.1	68.6	71.5	76.9	74	79.9
23	70	68.5	71.5	76.8	74	79.9
22	69.9	68.4	71.4	76.8	73.9	79.8
21	69.8	68.3	71.3	76.7	73.8	79.8
20	69.7	68.2	71.2	76.7	73.8	79.8
19	69.6	68.1	71.2	76.6	73.7	79.8
18	69.6	68	71.1	76.6	73.7	79.7
17	69.5	68	71.1	76.6	73.6	79.7
16	69.4	67.9	71	76.5	73.6	79.7
15	69.4	67.8	71	76.5	73.6	79.7
14	69.3	67.8	70.9	76.5	73.6	79.7
13	69.3	67.8	70.9	76.5	73.5	79.6
12	69.3	67.7	70.8	76.5	73.5	79.6
11	69.2	67.7	70.8	76.5	73.5	79.6
10	69.2	67.6	70.8	76.4	73.5	79.6
9	69.2	67.6	70.7	76.4	73.5	79.6
8	69.1	67.5	70.7	76.4	73.5	79.6
7	69.1	67.5	70.6	76.4	73.5	79.6
6	69	67.4	70.6	76.4	73.5	79.6
5	68.9	67.4	70.5	76.4	73.4	79.6
4	68.8	67.3	70.4	76.4	73.4	79.6
3	68.7	67.2	70.3	76.4	73.4	79.5
2	68.5	67	70.1	76.3	73.4	79.5
1	68.2	66.7	69.8	76.3	73.3	79.5
0	66.4	64.7	68.2	75.4	72.5	78.6

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 77.2 in Mauritius, rising to 78.3 and 82.4 at 65, and to 85.9 and 88.5 at 80 — higher than the 66.4 and 75.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Congo

Male

Female

Mauritius

Male

Female

1x

Age	Survival probability
	Congo			Mauritius
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	1.64%	0.95%	2.4%
99	0.19%	0.17%	0.22%	2.28%	1.33%	3.29%
98	0.3%	0.26%	0.35%	3.08%	1.83%	4.42%
97	0.46%	0.39%	0.54%	4.08%	2.47%	5.81%
96	0.69%	0.57%	0.82%	5.29%	3.26%	7.46%
95	1.01%	0.81%	1.2%	6.73%	4.23%	9.4%
94	1.43%	1.14%	1.72%	8.39%	5.38%	11.6%
93	1.98%	1.57%	2.4%	10.3%	6.74%	14.1%
92	2.68%	2.12%	3.27%	12.4%	8.3%	16.8%
91	3.55%	2.8%	4.34%	14.7%	10.1%	19.8%
90	4.63%	3.64%	5.65%	17.3%	12.1%	23%
89	5.9%	4.65%	7.2%	20.1%	14.3%	26.4%
88	7.39%	5.84%	9%	23%	16.7%	29.9%
87	9.11%	7.23%	11.1%	26.1%	19.3%	33.5%
86	11%	8.81%	13.3%	29.3%	22%	37.1%
85	13.2%	10.6%	15.9%	32.4%	24.8%	40.6%
84	15.5%	12.6%	18.6%	35.5%	27.6%	44%
83	18.1%	14.8%	21.5%	38.6%	30.4%	47.3%
82	20.7%	17.1%	24.5%	41.6%	33.3%	50.4%
81	23.5%	19.6%	27.5%	44.5%	36.2%	53.4%
80	26.4%	22.2%	30.7%	47.4%	39.1%	56.3%
79	29.3%	24.9%	33.8%	50.2%	42%	59.1%
78	32.3%	27.7%	37%	53%	44.8%	61.8%
77	35.3%	30.5%	40.1%	55.7%	47.6%	64.4%
76	38.2%	33.4%	43.2%	58.3%	50.4%	66.9%
75	41.2%	36.3%	46.2%	60.7%	53%	69.2%
74	44%	39.1%	49%	63.1%	55.4%	71.3%
73	46.8%	41.9%	51.8%	65.3%	57.8%	73.4%
72	49.5%	44.7%	54.4%	67.4%	60%	75.3%
71	52.1%	47.3%	56.9%	69.3%	62.2%	77.1%
70	54.5%	49.9%	59.3%	71.2%	64.3%	78.7%
69	56.9%	52.4%	61.5%	73%	66.3%	80.3%
68	59.1%	54.8%	63.5%	74.7%	68.3%	81.7%
67	61.2%	57%	65.5%	76.4%	70.2%	83%
66	63.2%	59.1%	67.3%	77.9%	72%	84.2%
65	65.1%	61.2%	69%	79.4%	73.8%	85.3%
64	66.9%	63.1%	70.6%	80.7%	75.4%	86.4%
63	68.5%	65%	72.1%	81.9%	77%	87.3%
62	70.1%	66.8%	73.6%	83.1%	78.4%	88.1%
61	71.6%	68.4%	74.9%	84.2%	79.8%	88.9%
60	73.1%	70%	76.1%	85.1%	81%	89.6%
59	74.4%	71.5%	77.3%	86%	82.1%	90.3%
58	75.6%	72.9%	78.4%	86.9%	83.2%	90.9%
57	76.8%	74.3%	79.4%	87.7%	84.1%	91.5%
56	77.9%	75.5%	80.4%	88.4%	85.1%	92%
55	79%	76.7%	81.3%	89.1%	86%	92.5%
54	80%	77.9%	82.2%	89.8%	86.8%	93%
53	81%	79%	83%	90.4%	87.7%	93.4%
52	81.9%	80%	83.8%	91%	88.4%	93.8%
51	82.8%	81%	84.6%	91.6%	89.2%	94.2%
50	83.6%	81.9%	85.3%	92.1%	89.9%	94.5%
49	84.3%	82.8%	86%	92.6%	90.5%	94.8%
48	85.1%	83.6%	86.6%	93%	91.1%	95.1%
47	85.7%	84.3%	87.2%	93.4%	91.6%	95.4%
46	86.4%	85%	87.8%	93.8%	92.1%	95.7%
45	87%	85.7%	88.3%	94.2%	92.6%	95.9%
44	87.6%	86.3%	88.8%	94.5%	93%	96.2%
43	88.1%	86.9%	89.3%	94.8%	93.4%	96.4%
42	88.6%	87.5%	89.7%	95.1%	93.7%	96.6%
41	89.1%	88%	90.2%	95.4%	94.1%	96.8%
40	89.5%	88.5%	90.6%	95.6%	94.4%	96.9%
39	90%	89%	91%	95.9%	94.7%	97.1%
38	90.4%	89.5%	91.4%	96.1%	95%	97.2%
37	90.8%	89.9%	91.7%	96.3%	95.3%	97.3%
36	91.1%	90.3%	92%	96.5%	95.6%	97.4%
35	91.5%	90.6%	92.4%	96.6%	95.8%	97.5%
34	91.8%	91%	92.6%	96.8%	96%	97.6%
33	92.1%	91.3%	92.9%	96.9%	96.2%	97.7%
32	92.4%	91.7%	93.2%	97.1%	96.4%	97.8%
31	92.7%	92%	93.4%	97.2%	96.6%	97.9%
30	93%	92.2%	93.7%	97.3%	96.7%	97.9%
29	93.2%	92.5%	93.9%	97.5%	96.9%	98%
28	93.4%	92.8%	94.1%	97.6%	97.1%	98.1%
27	93.7%	93%	94.3%	97.7%	97.2%	98.2%
26	93.9%	93.3%	94.5%	97.8%	97.3%	98.2%
25	94.1%	93.5%	94.7%	97.9%	97.5%	98.3%
24	94.3%	93.7%	94.9%	98%	97.6%	98.3%
23	94.5%	94%	95%	98.1%	97.7%	98.4%
22	94.7%	94.2%	95.2%	98.1%	97.9%	98.4%
21	94.8%	94.4%	95.3%	98.2%	98%	98.5%
20	95%	94.5%	95.4%	98.3%	98.1%	98.5%
19	95.1%	94.7%	95.6%	98.4%	98.2%	98.6%
18	95.3%	94.9%	95.7%	98.4%	98.3%	98.6%
17	95.4%	95%	95.8%	98.5%	98.4%	98.6%
16	95.5%	95.1%	95.9%	98.5%	98.4%	98.7%
15	95.6%	95.2%	95.9%	98.6%	98.5%	98.7%
14	95.7%	95.3%	96%	98.6%	98.5%	98.7%
13	95.7%	95.4%	96.1%	98.6%	98.5%	98.7%
12	95.8%	95.4%	96.1%	98.6%	98.5%	98.8%
11	95.8%	95.5%	96.2%	98.7%	98.5%	98.8%
10	95.9%	95.6%	96.2%	98.7%	98.6%	98.8%
9	96%	95.6%	96.3%	98.7%	98.6%	98.8%
8	96%	95.7%	96.4%	98.7%	98.6%	98.8%
7	96.1%	95.8%	96.4%	98.7%	98.6%	98.8%
6	96.2%	95.9%	96.5%	98.7%	98.6%	98.8%
5	96.3%	96%	96.6%	98.7%	98.7%	98.8%
4	96.4%	96.1%	96.8%	98.8%	98.7%	98.8%
3	96.6%	96.3%	96.9%	98.8%	98.7%	98.9%
2	96.9%	96.6%	97.2%	98.8%	98.8%	98.9%
1	97.3%	97%	97.7%	98.9%	98.8%	99%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 85.1% in Mauritius are expected to live past 60, 54.5% and 71.2% past 70, 26.4% and 47.4% past 80, and only 4.63% and 17.3% 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

Mauritius

Male

Female

1x

Age	Probability of dying
	Congo			Mauritius
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	29.4%	30.3%	28.9%
99	38%	36.1%	39.4%	27.8%	28.8%	27.3%
98	36.2%	34.3%	37.4%	26.1%	27.3%	25.5%
97	34.6%	33.1%	35.6%	24.5%	25.8%	23.8%
96	33%	31.7%	33.8%	22.9%	24.3%	22.2%
95	31.3%	30.3%	32%	21.3%	22.9%	20.6%
94	29.6%	28.8%	30.1%	19.8%	21.5%	19.1%
93	27.9%	27.3%	28.2%	18.4%	20.1%	17.6%
92	26.2%	25.8%	26.5%	17.1%	18.8%	16.2%
91	24.5%	24.3%	24.7%	15.9%	17.6%	15%
90	23.2%	23.1%	23.2%	14.8%	16.6%	13.9%
89	21.6%	21.6%	21.5%	13.8%	15.5%	12.8%
88	20.2%	20.4%	20%	12.8%	14.5%	11.8%
87	18.8%	19.2%	18.6%	11.8%	13.4%	10.7%
86	17.6%	18%	17.2%	10.7%	12.3%	9.68%
85	16.3%	16.9%	15.9%	9.72%	11.2%	8.67%
84	15.1%	15.8%	14.6%	8.77%	10.2%	7.74%
83	13.9%	14.7%	13.4%	7.92%	9.36%	6.92%
82	12.9%	13.7%	12.3%	7.21%	8.61%	6.22%
81	11.8%	12.6%	11.2%	6.61%	7.96%	5.64%
80	11%	11.8%	10.3%	6.1%	7.4%	5.15%
79	9.99%	10.9%	9.34%	5.65%	6.89%	4.73%
78	9.21%	10.1%	8.55%	5.23%	6.39%	4.35%
77	8.41%	9.26%	7.75%	4.83%	5.89%	4%
76	7.74%	8.57%	7.08%	4.43%	5.39%	3.66%
75	7.11%	7.91%	6.46%	4.04%	4.9%	3.34%
74	6.5%	7.28%	5.86%	3.69%	4.45%	3.04%
73	5.94%	6.7%	5.32%	3.37%	4.06%	2.77%
72	5.43%	6.16%	4.84%	3.09%	3.73%	2.53%
71	4.91%	5.6%	4.34%	2.85%	3.47%	2.31%
70	4.54%	5.18%	3.99%	2.65%	3.25%	2.11%
69	4.1%	4.7%	3.58%	2.47%	3.07%	1.93%
68	3.76%	4.32%	3.27%	2.3%	2.9%	1.76%
67	3.44%	3.95%	2.97%	2.14%	2.73%	1.6%
66	3.14%	3.62%	2.7%	1.97%	2.56%	1.44%
65	2.9%	3.34%	2.49%	1.82%	2.38%	1.3%
64	2.67%	3.09%	2.28%	1.67%	2.2%	1.17%
63	2.46%	2.86%	2.09%	1.52%	2.01%	1.06%
62	2.28%	2.65%	1.93%	1.39%	1.83%	0.96%
61	2.08%	2.43%	1.76%	1.26%	1.66%	0.88%
60	1.95%	2.28%	1.65%	1.15%	1.51%	0.8%
59	1.78%	2.08%	1.5%	1.05%	1.37%	0.74%
58	1.66%	1.93%	1.4%	0.97%	1.26%	0.68%
57	1.54%	1.79%	1.3%	0.9%	1.17%	0.63%
56	1.44%	1.68%	1.22%	0.84%	1.1%	0.58%
55	1.35%	1.57%	1.14%	0.79%	1.04%	0.53%
54	1.27%	1.47%	1.07%	0.74%	0.99%	0.49%
53	1.19%	1.37%	1.01%	0.7%	0.94%	0.45%
52	1.12%	1.29%	0.95%	0.65%	0.89%	0.42%
51	1.04%	1.19%	0.88%	0.61%	0.83%	0.39%
50	0.98%	1.12%	0.84%	0.57%	0.77%	0.36%
49	0.91%	1.04%	0.78%	0.53%	0.71%	0.34%
48	0.85%	0.97%	0.73%	0.48%	0.64%	0.32%
47	0.79%	0.9%	0.68%	0.45%	0.59%	0.3%
46	0.74%	0.84%	0.64%	0.41%	0.53%	0.28%
45	0.7%	0.79%	0.61%	0.37%	0.48%	0.26%
44	0.65%	0.73%	0.57%	0.34%	0.44%	0.24%
43	0.61%	0.69%	0.54%	0.32%	0.41%	0.22%
42	0.58%	0.65%	0.51%	0.3%	0.39%	0.2%
41	0.54%	0.6%	0.48%	0.28%	0.37%	0.18%
40	0.52%	0.57%	0.46%	0.27%	0.36%	0.16%
39	0.48%	0.53%	0.43%	0.25%	0.34%	0.15%
38	0.45%	0.5%	0.41%	0.23%	0.32%	0.13%
37	0.43%	0.47%	0.38%	0.21%	0.3%	0.12%
36	0.4%	0.44%	0.36%	0.2%	0.27%	0.11%
35	0.38%	0.42%	0.34%	0.18%	0.24%	0.1%
34	0.36%	0.39%	0.32%	0.16%	0.22%	0.1%
33	0.33%	0.37%	0.3%	0.15%	0.2%	0.09%
32	0.32%	0.35%	0.29%	0.14%	0.18%	0.09%
31	0.3%	0.33%	0.27%	0.13%	0.17%	0.08%
30	0.28%	0.31%	0.26%	0.13%	0.17%	0.08%
29	0.27%	0.3%	0.24%	0.12%	0.17%	0.07%
28	0.26%	0.28%	0.23%	0.12%	0.16%	0.07%
27	0.24%	0.27%	0.21%	0.11%	0.16%	0.07%
26	0.23%	0.26%	0.2%	0.11%	0.15%	0.06%
25	0.22%	0.25%	0.19%	0.1%	0.14%	0.06%
24	0.21%	0.24%	0.18%	0.09%	0.13%	0.06%
23	0.2%	0.23%	0.17%	0.09%	0.13%	0.05%
22	0.19%	0.22%	0.16%	0.09%	0.12%	0.05%
21	0.18%	0.21%	0.15%	0.08%	0.12%	0.05%
20	0.17%	0.19%	0.14%	0.08%	0.11%	0.04%
19	0.15%	0.18%	0.13%	0.07%	0.11%	0.04%
18	0.14%	0.16%	0.12%	0.07%	0.09%	0.04%
17	0.12%	0.14%	0.1%	0.06%	0.08%	0.03%
16	0.11%	0.12%	0.09%	0.04%	0.06%	0.03%
15	0.09%	0.1%	0.08%	0.03%	0.04%	0.03%
14	0.08%	0.09%	0.07%	0.03%	0.03%	0.02%
13	0.07%	0.08%	0.07%	0.02%	0.02%	0.02%
12	0.07%	0.07%	0.06%	0.02%	0.02%	0.02%
11	0.06%	0.07%	0.06%	0.02%	0.02%	0.01%
10	0.06%	0.07%	0.06%	0.01%	0.02%	0.01%
9	0.07%	0.07%	0.06%	0.01%	0.02%	0.01%
8	0.07%	0.08%	0.07%	0.01%	0.02%	0.009%
7	0.08%	0.09%	0.07%	0.01%	0.02%	0.01%
6	0.09%	0.1%	0.09%	0.02%	0.02%	0.01%
5	0.11%	0.11%	0.1%	0.02%	0.02%	0.01%
4	0.14%	0.15%	0.14%	0.02%	0.03%	0.02%
3	0.19%	0.2%	0.19%	0.03%	0.04%	0.03%
2	0.28%	0.28%	0.28%	0.04%	0.05%	0.04%
1	0.44%	0.44%	0.45%	0.06%	0.06%	0.06%
0	2.67%	2.99%	2.35%	1.1%	1.18%	1.02%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 1.1% in Mauritius, 0.28% vs 0.13% at age 30, 1.95% vs 1.15% at 60, and 11% vs 6.1% at 80.

Death rate by age in Congo vs Mauritius

Chart Table

Congo

Male

Female

Mauritius

Male

Female

1x

Age	Death rate
	Congo			Mauritius
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	412	218.2	619
99	73.5	61.5	86.1	632	384	898
98	109.4	89.1	130.4	805	500	1,128
97	160.2	128.3	193.1	999	637	1,383
96	227.9	180.2	277	1,212	793	1,656
95	315	246.7	385	1,436	967	1,937
94	422	329	518	1,664	1,155	2,212
93	552	429	678	1,890	1,353	2,475
92	704	547	865	2,118	1,561	2,730
91	872	679	1,070	2,346	1,777	2,974
90	1,072	841	1,311	2,569	1,998	3,197
89	1,273	1,006	1,549	2,776	2,215	3,387
88	1,492	1,193	1,802	2,952	2,414	3,526
87	1,715	1,387	2,053	3,077	2,581	3,596
86	1,939	1,590	2,297	3,142	2,703	3,591
85	2,150	1,791	2,515	3,149	2,783	3,521
84	2,351	1,991	2,715	3,114	2,828	3,408
83	2,519	2,170	2,871	3,056	2,851	3,273
82	2,671	2,343	3,001	2,996	2,867	3,139
81	2,773	2,477	3,069	2,940	2,881	3,015
80	2,898	2,633	3,165	2,890	2,891	2,902
79	2,932	2,706	3,161	2,839	2,890	2,798
78	2,977	2,793	3,163	2,774	2,864	2,691
77	2,969	2,829	3,109	2,689	2,805	2,576
76	2,960	2,862	3,058	2,581	2,712	2,448
75	2,926	2,871	2,980	2,457	2,594	2,311
74	2,861	2,849	2,875	2,326	2,467	2,171
73	2,778	2,808	2,754	2,199	2,346	2,033
72	2,690	2,752	2,634	2,082	2,241	1,902
71	2,558	2,649	2,472	1,979	2,156	1,778
70	2,476	2,586	2,367	1,888	2,089	1,661
69	2,334	2,463	2,201	1,803	2,034	1,548
68	2,223	2,365	2,075	1,718	1,979	1,436
67	2,103	2,254	1,942	1,631	1,917	1,325
66	1,986	2,143	1,819	1,538	1,843	1,215
65	1,886	2,046	1,717	1,442	1,756	1,110
64	1,784	1,953	1,609	1,345	1,658	1,013
63	1,689	1,862	1,510	1,248	1,550	926
62	1,598	1,773	1,420	1,153	1,438	849
61	1,493	1,666	1,319	1,062	1,326	780
60	1,426	1,596	1,254	979	1,221	720
59	1,327	1,491	1,163	906	1,128	667
58	1,255	1,411	1,098	842	1,050	619
57	1,182	1,332	1,032	788	987	574
56	1,123	1,266	980	742	937	532
55	1,067	1,204	927	702	896	493
54	1,014	1,144	881	665	860	457
53	962	1,084	836	630	825	423
52	915	1,030	797	595	785	393
51	857	966	747	559	740	367
50	820	921	716	523	690	344
49	765	859	669	487	639	323
48	721	807	631	451	587	305
47	676	757	593	416	536	287.2
46	638	712	561	383	488	270.1
45	605	673	534	353	444	252.8
44	569	631	505	326	409	234.6
43	539	596	481	303	382	215.4
42	513	565	459	284	363	195.6
41	482	529	434	267.8	349	176
40	461	506	416	253.6	338	157.6
39	434	474	393	239.3	325	141.2
38	411	448	373	223.8	309	127.2
37	387	422	352	206.5	286.3	115.8
36	367	399	334	188.4	260.4	106.8
35	347	377	316	171.2	234.3	100
34	326	355	296.8	156.2	210.8	94.6
33	308	336	280.5	143.9	191.6	90.3
32	292.4	319	265.8	134.4	177.6	86.1
31	275.1	301	249.1	127.5	168.4	81.9
30	264.4	288.9	239.4	122.5	163.2	77.6
29	250.5	274.3	226.3	118.8	160.3	73.4
28	238.5	262.8	213.9	114.9	156.9	69.4
27	227.6	252.1	202.6	110.1	151.8	65.6
26	216.8	242.3	190.8	104.4	144.4	62.1
25	206.9	234.1	179.3	98.4	136.3	58.9
24	197.6	225.7	169	93	129.1	55.7
23	188.3	217.3	158.7	88.5	123.8	52.6
22	178.5	207.8	148.7	84.9	119.8	49.5
21	168	196.6	138.8	81.5	116.5	46.6
20	158	184.2	131.3	77.9	112.4	43.7
19	146.1	170.3	121.4	72.8	105.4	40.9
18	133.5	155.1	111.4	64.9	92.8	37.8
17	117.2	133.7	100.4	54.6	75.7	34.3
16	101.9	113.8	89.7	43.5	57.1	30.5
15	88	96.3	79.6	34	41.5	26.7
14	76.3	82.8	69.7	26.6	30.1	23.2
13	68.1	73.3	62.8	21.4	22.9	19.9
12	63	68	58	17.6	18.5	16.7
11	60.8	65.6	55.9	14.9	16.1	13.7
10	61	65.2	56.6	13.2	15	11.3
9	63.5	67.8	59.1	12.4	15	9.77
8	68.7	73.3	64	12.5	15.9	9.22
7	76.9	81.7	72	13.5	17.5	9.59
6	87.5	91.9	82.9	15.4	20.1	11
5	104	107.7	100.1	18.5	23.7	13.7
4	135.6	139.5	131.7	23.5	28.7	18.4
3	186.3	189.4	183.1	31.1	35.7	26.4
2	269.7	269.8	269.5	42.9	45.6	40.1
1	433	425	441	61.6	59.5	63.9
0	2,669	2,985	2,347	1,101	1,178	1,021

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 85 in Mauritius. The median age of death is 71.8 in the Congo and 79.1 in Mauritius, 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 Mauritius more than their death rates.

Life expectancy in other countries

+ -

1x