Life Expectancy in Congo vs Mauritania (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

Mauritania

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			Mauritania
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	101.8	101.7	101.9
99	101	101	101	100.9	100.8	101
98	100.1	100.2	100.1	100	99.9	100.1
97	99.2	99.3	99.1	99.1	99	99.2
96	98.3	98.4	98.2	98.2	98.1	98.3
95	97.4	97.5	97.4	97.4	97.2	97.4
94	96.6	96.7	96.5	96.5	96.3	96.6
93	95.7	95.8	95.7	95.6	95.5	95.7
92	94.9	94.9	94.8	94.8	94.6	94.9
91	94	94.1	94	94	93.8	94.1
90	93.2	93.3	93.2	93.2	92.9	93.3
89	92.4	92.5	92.4	92.3	92.1	92.5
88	91.6	91.6	91.6	91.6	91.3	91.7
87	90.9	90.9	90.9	90.8	90.5	91
86	90.1	90.1	90.1	90	89.7	90.2
85	89.3	89.3	89.4	89.3	89	89.5
84	88.6	88.5	88.7	88.6	88.2	88.8
83	87.9	87.8	88	87.9	87.5	88.1
82	87.2	87.1	87.3	87.2	86.8	87.5
81	86.5	86.4	86.7	86.5	86.1	86.9
80	85.9	85.7	86	85.9	85.5	86.2
79	85.2	85	85.4	85.3	84.8	85.6
78	84.6	84.3	84.8	84.7	84.2	85.1
77	84	83.7	84.3	84.1	83.6	84.5
76	83.4	83.1	83.7	83.5	83	84
75	82.9	82.5	83.2	83	82.4	83.5
74	82.3	81.9	82.7	82.5	81.8	83
73	81.8	81.3	82.2	82	81.3	82.6
72	81.3	80.8	81.7	81.5	80.7	82.1
71	80.8	80.3	81.3	81	80.2	81.7
70	80.3	79.8	80.8	80.6	79.8	81.3
69	79.9	79.3	80.4	80.2	79.3	81
68	79.5	78.8	80	79.8	78.8	80.6
67	79.1	78.4	79.7	79.4	78.4	80.3
66	78.7	77.9	79.3	79	78	80
65	78.3	77.5	79	78.7	77.6	79.7
64	77.9	77.1	78.6	78.3	77.2	79.4
63	77.6	76.7	78.3	78	76.8	79.1
62	77.2	76.4	78	77.7	76.5	78.9
61	76.9	76	77.7	77.4	76.2	78.6
60	76.6	75.6	77.4	77.1	75.9	78.4
59	76.3	75.3	77.2	76.9	75.6	78.2
58	76	75	76.9	76.6	75.3	78
57	75.7	74.7	76.7	76.4	75	77.8
56	75.4	74.4	76.4	76.2	74.8	77.6
55	75.1	74.1	76.2	76	74.5	77.4
54	74.9	73.8	75.9	75.8	74.3	77.2
53	74.6	73.5	75.7	75.6	74.1	77
52	74.4	73.2	75.5	75.4	73.9	76.9
51	74.1	73	75.3	75.2	73.7	76.7
50	73.9	72.7	75.1	75	73.5	76.5
49	73.7	72.5	74.9	74.9	73.3	76.4
48	73.5	72.2	74.7	74.7	73.2	76.3
47	73.3	72	74.5	74.6	73	76.1
46	73.1	71.8	74.3	74.5	72.9	76
45	72.9	71.6	74.1	74.3	72.7	75.9
44	72.7	71.4	74	74.2	72.6	75.8
43	72.5	71.2	73.8	74.1	72.5	75.7
42	72.3	71	73.7	74	72.4	75.6
41	72.2	70.9	73.5	73.9	72.3	75.5
40	72	70.7	73.3	73.8	72.2	75.4
39	71.9	70.5	73.2	73.7	72.1	75.3
38	71.7	70.4	73.1	73.6	72	75.2
37	71.6	70.2	72.9	73.5	71.9	75.1
36	71.4	70.1	72.8	73.4	71.8	75
35	71.3	69.9	72.7	73.4	71.7	74.9
34	71.2	69.8	72.5	73.3	71.6	74.9
33	71	69.6	72.4	73.2	71.6	74.8
32	70.9	69.5	72.3	73.1	71.5	74.7
31	70.8	69.4	72.2	73.1	71.4	74.7
30	70.7	69.3	72.1	73	71.3	74.6
29	70.6	69.1	72	72.9	71.3	74.5
28	70.5	69	71.9	72.8	71.2	74.5
27	70.3	68.9	71.8	72.8	71.1	74.4
26	70.2	68.8	71.7	72.7	71	74.3
25	70.1	68.7	71.6	72.6	70.9	74.3
24	70.1	68.6	71.5	72.6	70.9	74.2
23	70	68.5	71.5	72.5	70.8	74.2
22	69.9	68.4	71.4	72.4	70.7	74.1
21	69.8	68.3	71.3	72.3	70.6	74.1
20	69.7	68.2	71.2	72.3	70.5	74
19	69.6	68.1	71.2	72.2	70.4	73.9
18	69.6	68	71.1	72.1	70.3	73.9
17	69.5	68	71.1	72.1	70.3	73.8
16	69.4	67.9	71	72	70.2	73.8
15	69.4	67.8	71	72	70.1	73.7
14	69.3	67.8	70.9	71.9	70.1	73.7
13	69.3	67.8	70.9	71.9	70.1	73.7
12	69.3	67.7	70.8	71.9	70	73.6
11	69.2	67.7	70.8	71.8	70	73.6
10	69.2	67.6	70.8	71.8	70	73.6
9	69.2	67.6	70.7	71.8	69.9	73.6
8	69.1	67.5	70.7	71.7	69.9	73.5
7	69.1	67.5	70.6	71.7	69.8	73.5
6	69	67.4	70.6	71.6	69.8	73.4
5	68.9	67.4	70.5	71.6	69.7	73.4
4	68.8	67.3	70.4	71.5	69.6	73.3
3	68.7	67.2	70.3	71.4	69.5	73.2
2	68.5	67	70.1	71.3	69.4	73.1
1	68.2	66.7	69.8	71.1	69.2	72.9
0	66.4	64.7	68.2	69.2	67.1	71.2

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 73 in Mauritania, rising to 78.3 and 78.7 at 65, and to 85.9 and 85.9 at 80 — higher than the 66.4 and 69.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Congo

Male

Female

Mauritania

Male

Female

1x

Age	Survival probability
	Congo			Mauritania
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	0.12%	0.06%	0.2%
99	0.19%	0.17%	0.22%	0.2%	0.11%	0.32%
98	0.3%	0.26%	0.35%	0.32%	0.17%	0.5%
97	0.46%	0.39%	0.54%	0.5%	0.28%	0.77%
96	0.69%	0.57%	0.82%	0.76%	0.44%	1.15%
95	1.01%	0.81%	1.2%	1.12%	0.66%	1.66%
94	1.43%	1.14%	1.72%	1.61%	0.97%	2.34%
93	1.98%	1.57%	2.4%	2.25%	1.4%	3.22%
92	2.68%	2.12%	3.27%	3.07%	1.96%	4.32%
91	3.55%	2.8%	4.34%	4.1%	2.69%	5.68%
90	4.63%	3.64%	5.65%	5.36%	3.6%	7.31%
89	5.9%	4.65%	7.2%	6.88%	4.74%	9.22%
88	7.39%	5.84%	9%	8.66%	6.11%	11.4%
87	9.11%	7.23%	11.1%	10.7%	7.72%	13.9%
86	11%	8.81%	13.3%	13%	9.58%	16.7%
85	13.2%	10.6%	15.9%	15.6%	11.7%	19.7%
84	15.5%	12.6%	18.6%	18.3%	14%	22.8%
83	18.1%	14.8%	21.5%	21.2%	16.5%	26.2%
82	20.7%	17.1%	24.5%	24.3%	19.2%	29.6%
81	23.5%	19.6%	27.5%	27.5%	22%	33.1%
80	26.4%	22.2%	30.7%	30.8%	25%	36.6%
79	29.3%	24.9%	33.8%	34.1%	28.1%	40.2%
78	32.3%	27.7%	37%	37.4%	31.2%	43.7%
77	35.3%	30.5%	40.1%	40.7%	34.4%	47.1%
76	38.2%	33.4%	43.2%	44%	37.6%	50.3%
75	41.2%	36.3%	46.2%	47.2%	40.8%	53.5%
74	44%	39.1%	49%	50.3%	43.9%	56.5%
73	46.8%	41.9%	51.8%	53.2%	47%	59.3%
72	49.5%	44.7%	54.4%	56.1%	50%	62%
71	52.1%	47.3%	56.9%	58.8%	52.9%	64.5%
70	54.5%	49.9%	59.3%	61.3%	55.6%	66.8%
69	56.9%	52.4%	61.5%	63.7%	58.3%	68.9%
68	59.1%	54.8%	63.5%	66%	60.8%	70.9%
67	61.2%	57%	65.5%	68.1%	63.2%	72.7%
66	63.2%	59.1%	67.3%	70.1%	65.5%	74.4%
65	65.1%	61.2%	69%	72%	67.7%	76%
64	66.9%	63.1%	70.6%	73.7%	69.7%	77.4%
63	68.5%	65%	72.1%	75.3%	71.6%	78.8%
62	70.1%	66.8%	73.6%	76.8%	73.4%	80%
61	71.6%	68.4%	74.9%	78.2%	75%	81.2%
60	73.1%	70%	76.1%	79.5%	76.6%	82.2%
59	74.4%	71.5%	77.3%	80.7%	78%	83.2%
58	75.6%	72.9%	78.4%	81.8%	79.3%	84.1%
57	76.8%	74.3%	79.4%	82.8%	80.5%	85%
56	77.9%	75.5%	80.4%	83.8%	81.6%	85.7%
55	79%	76.7%	81.3%	84.6%	82.7%	86.5%
54	80%	77.9%	82.2%	85.4%	83.6%	87.2%
53	81%	79%	83%	86.2%	84.5%	87.8%
52	81.9%	80%	83.8%	86.9%	85.3%	88.4%
51	82.8%	81%	84.6%	87.5%	86%	89%
50	83.6%	81.9%	85.3%	88.1%	86.7%	89.5%
49	84.3%	82.8%	86%	88.7%	87.3%	90%
48	85.1%	83.6%	86.6%	89.2%	87.9%	90.4%
47	85.7%	84.3%	87.2%	89.6%	88.4%	90.8%
46	86.4%	85%	87.8%	90.1%	88.9%	91.2%
45	87%	85.7%	88.3%	90.5%	89.3%	91.6%
44	87.6%	86.3%	88.8%	90.8%	89.8%	91.9%
43	88.1%	86.9%	89.3%	91.2%	90.1%	92.2%
42	88.6%	87.5%	89.7%	91.5%	90.5%	92.5%
41	89.1%	88%	90.2%	91.8%	90.8%	92.8%
40	89.5%	88.5%	90.6%	92.1%	91.1%	93%
39	90%	89%	91%	92.3%	91.3%	93.3%
38	90.4%	89.5%	91.4%	92.5%	91.6%	93.5%
37	90.8%	89.9%	91.7%	92.8%	91.8%	93.7%
36	91.1%	90.3%	92%	93%	92.1%	93.9%
35	91.5%	90.6%	92.4%	93.2%	92.3%	94.1%
34	91.8%	91%	92.6%	93.4%	92.5%	94.3%
33	92.1%	91.3%	92.9%	93.5%	92.7%	94.4%
32	92.4%	91.7%	93.2%	93.7%	92.8%	94.6%
31	92.7%	92%	93.4%	93.9%	93%	94.7%
30	93%	92.2%	93.7%	94%	93.2%	94.9%
29	93.2%	92.5%	93.9%	94.2%	93.4%	95%
28	93.4%	92.8%	94.1%	94.3%	93.5%	95.1%
27	93.7%	93%	94.3%	94.5%	93.7%	95.3%
26	93.9%	93.3%	94.5%	94.6%	93.9%	95.4%
25	94.1%	93.5%	94.7%	94.7%	94%	95.5%
24	94.3%	93.7%	94.9%	94.9%	94.2%	95.6%
23	94.5%	94%	95%	95%	94.4%	95.7%
22	94.7%	94.2%	95.2%	95.2%	94.5%	95.8%
21	94.8%	94.4%	95.3%	95.3%	94.7%	95.9%
20	95%	94.5%	95.4%	95.4%	94.9%	96%
19	95.1%	94.7%	95.6%	95.6%	95%	96.1%
18	95.3%	94.9%	95.7%	95.7%	95.2%	96.2%
17	95.4%	95%	95.8%	95.8%	95.3%	96.3%
16	95.5%	95.1%	95.9%	95.9%	95.4%	96.4%
15	95.6%	95.2%	95.9%	96%	95.5%	96.4%
14	95.7%	95.3%	96%	96.1%	95.6%	96.5%
13	95.7%	95.4%	96.1%	96.1%	95.7%	96.6%
12	95.8%	95.4%	96.1%	96.2%	95.7%	96.6%
11	95.8%	95.5%	96.2%	96.2%	95.8%	96.7%
10	95.9%	95.6%	96.2%	96.3%	95.8%	96.7%
9	96%	95.6%	96.3%	96.3%	95.9%	96.7%
8	96%	95.7%	96.4%	96.4%	95.9%	96.8%
7	96.1%	95.8%	96.4%	96.4%	96%	96.9%
6	96.2%	95.9%	96.5%	96.5%	96.1%	96.9%
5	96.3%	96%	96.6%	96.6%	96.2%	97%
4	96.4%	96.1%	96.8%	96.7%	96.3%	97.1%
3	96.6%	96.3%	96.9%	96.8%	96.5%	97.2%
2	96.9%	96.6%	97.2%	97%	96.7%	97.4%
1	97.3%	97%	97.7%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 79.5% in Mauritania are expected to live past 60, 54.5% and 61.3% past 70, 26.4% and 30.8% past 80, and only 4.63% and 5.36% 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

Mauritania

Male

Female

1x

Age	Probability of dying
	Congo			Mauritania
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	41.2%	42.7%	40.3%
99	38%	36.1%	39.4%	39.3%	40.9%	38.4%
98	36.2%	34.3%	37.4%	37.5%	39.2%	36.6%
97	34.6%	33.1%	35.6%	35.7%	37.5%	34.8%
96	33%	31.7%	33.8%	33.9%	35.7%	32.9%
95	31.3%	30.3%	32%	32%	33.9%	31%
94	29.6%	28.8%	30.1%	30.2%	32.2%	29.1%
93	27.9%	27.3%	28.2%	28.4%	30.4%	27.3%
92	26.2%	25.8%	26.5%	26.7%	28.7%	25.5%
91	24.5%	24.3%	24.7%	25.1%	27.1%	23.9%
90	23.2%	23.1%	23.2%	23.6%	25.5%	22.3%
89	21.6%	21.6%	21.5%	22.1%	23.9%	20.8%
88	20.2%	20.4%	20%	20.6%	22.4%	19.3%
87	18.8%	19.2%	18.6%	19.1%	20.9%	17.9%
86	17.6%	18%	17.2%	17.7%	19.4%	16.5%
85	16.3%	16.9%	15.9%	16.3%	17.9%	15.2%
84	15.1%	15.8%	14.6%	15%	16.5%	13.9%
83	13.9%	14.7%	13.4%	13.8%	15.2%	12.7%
82	12.9%	13.7%	12.3%	12.6%	14%	11.6%
81	11.8%	12.6%	11.2%	11.6%	12.9%	10.6%
80	11%	11.8%	10.3%	10.6%	11.9%	9.64%
79	9.99%	10.9%	9.34%	9.73%	11%	8.77%
78	9.21%	10.1%	8.55%	8.91%	10.1%	7.97%
77	8.41%	9.26%	7.75%	8.14%	9.29%	7.22%
76	7.74%	8.57%	7.08%	7.43%	8.53%	6.54%
75	7.11%	7.91%	6.46%	6.76%	7.82%	5.9%
74	6.5%	7.28%	5.86%	6.14%	7.15%	5.31%
73	5.94%	6.7%	5.32%	5.57%	6.53%	4.78%
72	5.43%	6.16%	4.84%	5.05%	5.96%	4.29%
71	4.91%	5.6%	4.34%	4.58%	5.45%	3.85%
70	4.54%	5.18%	3.99%	4.15%	4.98%	3.45%
69	4.1%	4.7%	3.58%	3.77%	4.55%	3.1%
68	3.76%	4.32%	3.27%	3.43%	4.16%	2.79%
67	3.44%	3.95%	2.97%	3.12%	3.81%	2.52%
66	3.14%	3.62%	2.7%	2.84%	3.48%	2.28%
65	2.9%	3.34%	2.49%	2.59%	3.19%	2.06%
64	2.67%	3.09%	2.28%	2.36%	2.91%	1.87%
63	2.46%	2.86%	2.09%	2.15%	2.65%	1.71%
62	2.28%	2.65%	1.93%	1.96%	2.42%	1.55%
61	2.08%	2.43%	1.76%	1.78%	2.2%	1.42%
60	1.95%	2.28%	1.65%	1.62%	2.01%	1.29%
59	1.78%	2.08%	1.5%	1.48%	1.83%	1.18%
58	1.66%	1.93%	1.4%	1.35%	1.66%	1.08%
57	1.54%	1.79%	1.3%	1.23%	1.51%	0.99%
56	1.44%	1.68%	1.22%	1.13%	1.37%	0.92%
55	1.35%	1.57%	1.14%	1.04%	1.25%	0.85%
54	1.27%	1.47%	1.07%	0.95%	1.14%	0.78%
53	1.19%	1.37%	1.01%	0.87%	1.04%	0.73%
52	1.12%	1.29%	0.95%	0.8%	0.94%	0.68%
51	1.04%	1.19%	0.88%	0.73%	0.86%	0.63%
50	0.98%	1.12%	0.84%	0.67%	0.78%	0.58%
49	0.91%	1.04%	0.78%	0.62%	0.71%	0.54%
48	0.85%	0.97%	0.73%	0.57%	0.65%	0.5%
47	0.79%	0.9%	0.68%	0.52%	0.59%	0.46%
46	0.74%	0.84%	0.64%	0.48%	0.54%	0.43%
45	0.7%	0.79%	0.61%	0.44%	0.49%	0.39%
44	0.65%	0.73%	0.57%	0.4%	0.45%	0.36%
43	0.61%	0.69%	0.54%	0.37%	0.41%	0.34%
42	0.58%	0.65%	0.51%	0.34%	0.38%	0.31%
41	0.54%	0.6%	0.48%	0.32%	0.35%	0.29%
40	0.52%	0.57%	0.46%	0.3%	0.32%	0.27%
39	0.48%	0.53%	0.43%	0.28%	0.3%	0.26%
38	0.45%	0.5%	0.41%	0.26%	0.28%	0.24%
37	0.43%	0.47%	0.38%	0.24%	0.26%	0.22%
36	0.4%	0.44%	0.36%	0.23%	0.24%	0.21%
35	0.38%	0.42%	0.34%	0.21%	0.23%	0.2%
34	0.36%	0.39%	0.32%	0.2%	0.22%	0.18%
33	0.33%	0.37%	0.3%	0.19%	0.21%	0.17%
32	0.32%	0.35%	0.29%	0.18%	0.2%	0.16%
31	0.3%	0.33%	0.27%	0.17%	0.19%	0.16%
30	0.28%	0.31%	0.26%	0.17%	0.18%	0.15%
29	0.27%	0.3%	0.24%	0.16%	0.18%	0.14%
28	0.26%	0.28%	0.23%	0.16%	0.18%	0.14%
27	0.24%	0.27%	0.21%	0.15%	0.18%	0.13%
26	0.23%	0.26%	0.2%	0.15%	0.18%	0.12%
25	0.22%	0.25%	0.19%	0.15%	0.18%	0.12%
24	0.21%	0.24%	0.18%	0.15%	0.18%	0.11%
23	0.2%	0.23%	0.17%	0.15%	0.18%	0.11%
22	0.19%	0.22%	0.16%	0.15%	0.18%	0.11%
21	0.18%	0.21%	0.15%	0.15%	0.18%	0.11%
20	0.17%	0.19%	0.14%	0.14%	0.18%	0.11%
19	0.15%	0.18%	0.13%	0.14%	0.17%	0.1%
18	0.14%	0.16%	0.12%	0.13%	0.16%	0.1%
17	0.12%	0.14%	0.1%	0.11%	0.14%	0.09%
16	0.11%	0.12%	0.09%	0.1%	0.12%	0.08%
15	0.09%	0.1%	0.08%	0.08%	0.1%	0.07%
14	0.08%	0.09%	0.07%	0.07%	0.08%	0.06%
13	0.07%	0.08%	0.07%	0.06%	0.07%	0.05%
12	0.07%	0.07%	0.06%	0.05%	0.06%	0.05%
11	0.06%	0.07%	0.06%	0.05%	0.05%	0.05%
10	0.06%	0.07%	0.06%	0.05%	0.05%	0.05%
9	0.07%	0.07%	0.06%	0.05%	0.06%	0.05%
8	0.07%	0.08%	0.07%	0.06%	0.06%	0.05%
7	0.08%	0.09%	0.07%	0.06%	0.07%	0.06%
6	0.09%	0.1%	0.09%	0.08%	0.08%	0.07%
5	0.11%	0.11%	0.1%	0.09%	0.1%	0.08%
4	0.14%	0.15%	0.14%	0.11%	0.13%	0.1%
3	0.19%	0.2%	0.19%	0.14%	0.16%	0.13%
2	0.28%	0.28%	0.28%	0.18%	0.2%	0.17%
1	0.44%	0.44%	0.45%	0.24%	0.26%	0.21%
0	2.67%	2.99%	2.35%	2.75%	3.1%	2.4%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 2.75% in Mauritania, 0.28% vs 0.17% at age 30, 1.95% vs 1.62% at 60, and 11% vs 10.6% at 80.

Death rate by age in Congo vs Mauritania

Chart Table

Congo

Male

Female

Mauritania

Male

Female

1x

Age	Death rate
	Congo			Mauritania
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	0	0	0
99	73.5	61.5	86.1	79.7	43.5	122.2
98	109.4	89.1	130.4	121.8	68.6	183.7
97	160.2	128.3	193.1	180.3	105	267.3
96	227.9	180.2	277	258.6	155.7	377
95	315	246.7	385	360	223.8	514
94	422	329	518	486	313	681
93	552	429	678	639	425	878
92	704	547	865	820	562	1,104
91	872	679	1,070	1,029	727	1,355
90	1,072	841	1,311	1,263	919	1,628
89	1,273	1,006	1,549	1,517	1,135	1,916
88	1,492	1,193	1,802	1,783	1,370	2,207
87	1,715	1,387	2,053	2,051	1,615	2,491
86	1,939	1,590	2,297	2,308	1,860	2,754
85	2,150	1,791	2,515	2,544	2,094	2,986
84	2,351	1,991	2,715	2,752	2,312	3,179
83	2,519	2,170	2,871	2,928	2,508	3,330
82	2,671	2,343	3,001	3,072	2,682	3,439
81	2,773	2,477	3,069	3,184	2,835	3,506
80	2,898	2,633	3,165	3,265	2,966	3,534
79	2,932	2,706	3,161	3,315	3,072	3,524
78	2,977	2,793	3,163	3,332	3,149	3,478
77	2,969	2,829	3,109	3,317	3,196	3,399
76	2,960	2,862	3,058	3,269	3,208	3,290
75	2,926	2,871	2,980	3,191	3,188	3,156
74	2,861	2,849	2,875	3,089	3,140	3,001
73	2,778	2,808	2,754	2,968	3,069	2,833
72	2,690	2,752	2,634	2,833	2,981	2,657
71	2,558	2,649	2,472	2,692	2,880	2,479
70	2,476	2,586	2,367	2,547	2,770	2,304
69	2,334	2,463	2,201	2,402	2,654	2,136
68	2,223	2,365	2,075	2,260	2,533	1,977
67	2,103	2,254	1,942	2,122	2,409	1,830
66	1,986	2,143	1,819	1,989	2,283	1,693
65	1,886	2,046	1,717	1,861	2,155	1,568
64	1,784	1,953	1,609	1,736	2,027	1,452
63	1,689	1,862	1,510	1,617	1,901	1,344
62	1,598	1,773	1,420	1,503	1,776	1,243
61	1,493	1,666	1,319	1,394	1,654	1,149
60	1,426	1,596	1,254	1,291	1,536	1,062
59	1,327	1,491	1,163	1,194	1,423	982
58	1,255	1,411	1,098	1,105	1,316	909
57	1,182	1,332	1,032	1,022	1,216	844
56	1,123	1,266	980	946	1,122	785
55	1,067	1,204	927	876	1,034	732
54	1,014	1,144	881	811	952	684
53	962	1,084	836	751	876	639
52	915	1,030	797	695	805	597
51	857	966	747	642	740	557
50	820	921	716	594	679	520
49	765	859	669	548	622	484
48	721	807	631	505	569	450
47	676	757	593	466	521	418
46	638	712	561	429	477	388
45	605	673	534	396	437	360
44	569	631	505	366	401	335
43	539	596	481	338	368	312
42	513	565	459	314	340	291.1
41	482	529	434	292.2	315	272.3
40	461	506	416	272.5	292.1	255.1
39	434	474	393	254.8	272.2	239.1
38	411	448	373	238.5	254.4	224.2
37	387	422	352	223.5	238.4	210.1
36	367	399	334	209.8	224.1	196.8
35	347	377	316	197.3	211.4	184.5
34	326	355	296.8	186.2	200.3	173.3
33	308	336	280.5	176.5	190.7	163.4
32	292.4	319	265.8	168.2	182.7	154.8
31	275.1	301	249.1	161.2	176.2	147.3
30	264.4	288.9	239.4	155.4	171.2	140.7
29	250.5	274.3	226.3	150.7	167.7	134.7
28	238.5	262.8	213.9	146.8	165.6	129
27	227.6	252.1	202.6	143.7	164.9	123.5
26	216.8	242.3	190.8	141.3	165.4	118.3
25	206.9	234.1	179.3	139.8	167	113.7
24	197.6	225.7	169	139.2	169.5	109.9
23	188.3	217.3	158.7	139.3	172.3	107.1
22	178.5	207.8	148.7	139.7	174.6	105.3
21	168	196.6	138.8	139.6	175.1	104.1
20	158	184.2	131.3	137.4	172.1	102.6
19	146.1	170.3	121.4	132	163.8	99.7
18	133.5	155.1	111.4	122.6	150	94.7
17	117.2	133.7	100.4	109.6	131.5	87.1
16	101.9	113.8	89.7	94.8	111.3	77.9
15	88	96.3	79.6	80.3	92	68.2
14	76.3	82.8	69.7	67.9	76	59.4
13	68.1	73.3	62.8	58.4	64.2	52.4
12	63	68	58	52	56.4	47.5
11	60.8	65.6	55.9	48.7	52.3	44.9
10	61	65.2	56.6	48	51.4	44.4
9	63.5	67.8	59.1	49.9	53.5	46.1
8	68.7	73.3	64	54.5	58.7	50.2
7	76.9	81.7	72	62.2	67.2	57
6	87.5	91.9	82.9	73.5	79.7	67.1
5	104	107.7	100.1	89.4	97.2	81.4
4	135.6	139.5	131.7	111.2	120.9	101.1
3	186.3	189.4	183.1	140.3	152.5	127.7
2	269.7	269.8	269.5	178.7	193.9	163
1	433	425	441	228.6	247.6	209
0	2,669	2,985	2,347	2,753	3,099	2,399

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 78 in Mauritania. The median age of death is 71.8 in the Congo and 74.1 in Mauritania, 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 Mauritania more than their death rates.

Life expectancy in other countries

+ -

1x