Life Expectancy in Congo vs Seychelles (1950-2026)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in the Congo vs the Seychelles: 70.7 years vs 75.1 at 30, 78.3 vs 80.6 at 65, 85.9 vs 87 at 80 — significantly higher than the 66.4 vs 73.3 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in the Congo and the Seychelles.

Table

Current age, years	Total life expectancy, years
	Congo			Seychelles
	Average	Male	Female	Average	Male	Female
0	66.4	64.7	68.2	73.3	70.4	77
1	68.2	66.7	69.8	74	71.1	77.7
2	68.5	67	70.1	74	71.2	77.7
3	68.7	67.2	70.3	74.1	71.2	77.8
4	68.8	67.3	70.4	74.1	71.2	77.8
5	68.9	67.4	70.5	74.1	71.3	77.8
6	69	67.4	70.6	74.2	71.3	77.8
7	69.1	67.5	70.6	74.2	71.3	77.9
8	69.1	67.5	70.7	74.2	71.3	77.9
9	69.2	67.6	70.7	74.2	71.3	77.9
10	69.2	67.6	70.8	74.2	71.4	77.9
11	69.2	67.7	70.8	74.3	71.4	77.9
12	69.3	67.7	70.8	74.3	71.4	77.9
13	69.3	67.8	70.9	74.3	71.4	77.9
14	69.3	67.8	70.9	74.3	71.4	77.9
15	69.4	67.8	71	74.3	71.5	78
16	69.4	67.9	71	74.3	71.5	78
17	69.5	68	71.1	74.4	71.5	78
18	69.6	68	71.1	74.4	71.6	78
19	69.6	68.1	71.2	74.4	71.6	78
20	69.7	68.2	71.2	74.5	71.7	78
21	69.8	68.3	71.3	74.5	71.7	78
22	69.9	68.4	71.4	74.6	71.8	78.1
23	70	68.5	71.5	74.6	71.9	78.1
24	70.1	68.6	71.5	74.7	72	78.2
25	70.1	68.7	71.6	74.7	72	78.2
26	70.2	68.8	71.7	74.8	72.1	78.3
27	70.3	68.9	71.8	74.9	72.2	78.3
28	70.5	69	71.9	74.9	72.2	78.4
29	70.6	69.1	72	75	72.3	78.4
30	70.7	69.3	72.1	75.1	72.4	78.5
31	70.8	69.4	72.2	75.2	72.5	78.5
32	70.9	69.5	72.3	75.2	72.6	78.6
33	71	69.6	72.4	75.3	72.7	78.7
34	71.2	69.8	72.5	75.4	72.8	78.7
35	71.3	69.9	72.7	75.5	72.8	78.8
36	71.4	70.1	72.8	75.6	72.9	78.9
37	71.6	70.2	72.9	75.7	73	79
38	71.7	70.4	73.1	75.7	73.1	79
39	71.9	70.5	73.2	75.8	73.2	79.1
40	72	70.7	73.3	75.9	73.3	79.2
41	72.2	70.9	73.5	76	73.4	79.2
42	72.3	71	73.7	76.1	73.5	79.3
43	72.5	71.2	73.8	76.2	73.6	79.3
44	72.7	71.4	74	76.3	73.8	79.4
45	72.9	71.6	74.1	76.4	73.9	79.5
46	73.1	71.8	74.3	76.6	74.1	79.5
47	73.3	72	74.5	76.7	74.3	79.6
48	73.5	72.2	74.7	76.9	74.5	79.7
49	73.7	72.5	74.9	77	74.7	79.8
50	73.9	72.7	75.1	77.2	74.8	79.9
51	74.1	73	75.3	77.4	75	80
52	74.4	73.2	75.5	77.5	75.2	80.2
53	74.6	73.5	75.7	77.7	75.4	80.3
54	74.9	73.8	75.9	77.9	75.7	80.4
55	75.1	74.1	76.2	78.1	75.9	80.6
56	75.4	74.4	76.4	78.3	76.1	80.7
57	75.7	74.7	76.7	78.5	76.4	80.8
58	76	75	76.9	78.7	76.7	81
59	76.3	75.3	77.2	79	76.9	81.1
60	76.6	75.6	77.4	79.2	77.2	81.3
61	76.9	76	77.7	79.4	77.5	81.5
62	77.2	76.4	78	79.7	77.9	81.7
63	77.6	76.7	78.3	80	78.2	81.9
64	77.9	77.1	78.6	80.3	78.5	82.1
65	78.3	77.5	79	80.6	78.9	82.3
66	78.7	77.9	79.3	80.9	79.3	82.5
67	79.1	78.4	79.7	81.2	79.7	82.8
68	79.5	78.8	80	81.5	80.1	83
69	79.9	79.3	80.4	81.9	80.5	83.3
70	80.3	79.8	80.8	82.3	80.9	83.6
71	80.8	80.3	81.3	82.7	81.4	83.9
72	81.3	80.8	81.7	83.1	81.9	84.2
73	81.8	81.3	82.2	83.5	82.4	84.5
74	82.3	81.9	82.7	83.9	82.9	84.9
75	82.9	82.5	83.2	84.4	83.4	85.3
76	83.4	83.1	83.7	84.9	83.9	85.6
77	84	83.7	84.3	85.4	84.5	86.1
78	84.6	84.3	84.8	85.9	85	86.5
79	85.2	85	85.4	86.4	85.6	87
80	85.9	85.7	86	87	86.2	87.5
81	86.5	86.4	86.7	87.6	86.9	88
82	87.2	87.1	87.3	88.1	87.5	88.5
83	87.9	87.8	88	88.8	88.2	89.1
84	88.6	88.5	88.7	89.4	88.9	89.7
85	89.3	89.3	89.4	90.1	89.6	90.3
86	90.1	90.1	90.1	90.7	90.3	90.9
87	90.9	90.9	90.9	91.4	91	91.6
88	91.6	91.6	91.6	92.1	91.8	92.3
89	92.4	92.5	92.4	92.9	92.5	93
90	93.2	93.3	93.2	93.6	93.3	93.7
91	94	94.1	94	94.4	94.1	94.5
92	94.9	94.9	94.8	95.1	94.9	95.2
93	95.7	95.8	95.7	95.9	95.7	96
94	96.6	96.7	96.5	96.8	96.6	96.8
95	97.4	97.5	97.4	97.6	97.4	97.6
96	98.3	98.4	98.2	98.4	98.3	98.5
97	99.2	99.3	99.1	99.3	99.2	99.3
98	100.1	100.2	100.1	100.2	100	100.2
99	101	101	101	101.1	100.9	101.1
100	101.9	101.9	101.9	102	101.8	102

Odds of living to age in Congo vs Seychelles

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 73.1% in the Congo and 83.5% in the Seychelles are expected to survive till at least 60 years old, 54.5% and 68.1% will live to 70 years or older, 26.4% and 40.5% to 80+ years, and 4.63% and 10.4% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Congo			Seychelles
	Average	Male	Female	Average	Male	Female
1	97.3%	97%	97.7%	99%	98.9%	99.1%
2	96.9%	96.6%	97.2%	99%	98.9%	99.1%
3	96.6%	96.3%	96.9%	98.9%	98.8%	99%
4	96.4%	96.1%	96.8%	98.9%	98.8%	99%
5	96.3%	96%	96.6%	98.8%	98.7%	98.9%
6	96.2%	95.9%	96.5%	98.8%	98.7%	98.9%
7	96.1%	95.8%	96.4%	98.8%	98.7%	98.9%
8	96%	95.7%	96.4%	98.7%	98.6%	98.8%
9	96%	95.6%	96.3%	98.7%	98.6%	98.8%
10	95.9%	95.6%	96.2%	98.7%	98.6%	98.8%
11	95.8%	95.5%	96.2%	98.7%	98.6%	98.8%
12	95.8%	95.4%	96.1%	98.6%	98.5%	98.8%
13	95.7%	95.4%	96.1%	98.6%	98.5%	98.7%
14	95.7%	95.3%	96%	98.6%	98.5%	98.7%
15	95.6%	95.2%	95.9%	98.6%	98.4%	98.7%
16	95.5%	95.1%	95.9%	98.5%	98.4%	98.7%
17	95.4%	95%	95.8%	98.5%	98.3%	98.7%
18	95.3%	94.9%	95.7%	98.5%	98.2%	98.7%
19	95.1%	94.7%	95.6%	98.4%	98.1%	98.6%
20	95%	94.5%	95.4%	98.3%	98%	98.6%
21	94.8%	94.4%	95.3%	98.2%	97.9%	98.6%
22	94.7%	94.2%	95.2%	98.1%	97.8%	98.5%
23	94.5%	94%	95%	98%	97.6%	98.4%
24	94.3%	93.7%	94.9%	97.9%	97.5%	98.3%
25	94.1%	93.5%	94.7%	97.8%	97.3%	98.2%
26	93.9%	93.3%	94.5%	97.6%	97.2%	98.1%
27	93.7%	93%	94.3%	97.5%	97%	98%
28	93.4%	92.8%	94.1%	97.4%	96.9%	97.9%
29	93.2%	92.5%	93.9%	97.2%	96.7%	97.8%
30	93%	92.2%	93.7%	97.1%	96.5%	97.7%
31	92.7%	92%	93.4%	96.9%	96.3%	97.6%
32	92.4%	91.7%	93.2%	96.7%	96.1%	97.5%
33	92.1%	91.3%	92.9%	96.5%	95.9%	97.3%
34	91.8%	91%	92.6%	96.3%	95.7%	97.2%
35	91.5%	90.6%	92.4%	96.2%	95.4%	97%
36	91.1%	90.3%	92%	96%	95.2%	96.8%
37	90.8%	89.9%	91.7%	95.8%	95%	96.7%
38	90.4%	89.5%	91.4%	95.6%	94.8%	96.5%
39	90%	89%	91%	95.4%	94.6%	96.4%
40	89.5%	88.5%	90.6%	95.2%	94.3%	96.2%
41	89.1%	88%	90.2%	94.9%	94%	96.1%
42	88.6%	87.5%	89.7%	94.6%	93.7%	95.9%
43	88.1%	86.9%	89.3%	94.3%	93.3%	95.8%
44	87.6%	86.3%	88.8%	94%	92.8%	95.7%
45	87%	85.7%	88.3%	93.6%	92.3%	95.5%
46	86.4%	85%	87.8%	93.2%	91.7%	95.3%
47	85.7%	84.3%	87.2%	92.7%	91.1%	95.1%
48	85.1%	83.6%	86.6%	92.2%	90.5%	94.8%
49	84.3%	82.8%	86%	91.7%	89.9%	94.4%
50	83.6%	81.9%	85.3%	91.2%	89.2%	94.1%
51	82.8%	81%	84.6%	90.6%	88.6%	93.7%
52	81.9%	80%	83.8%	90%	87.8%	93.3%
53	81%	79%	83%	89.4%	87%	92.8%
54	80%	77.9%	82.2%	88.7%	86.1%	92.4%
55	79%	76.7%	81.3%	88%	85.2%	92%
56	77.9%	75.5%	80.4%	87.2%	84.2%	91.5%
57	76.8%	74.3%	79.4%	86.4%	83.1%	90.9%
58	75.6%	72.9%	78.4%	85.5%	81.9%	90.4%
59	74.4%	71.5%	77.3%	84.5%	80.7%	89.7%
60	73.1%	70%	76.1%	83.5%	79.3%	89%
61	71.6%	68.4%	74.9%	82.4%	77.9%	88.3%
62	70.1%	66.8%	73.6%	81.2%	76.4%	87.5%
63	68.5%	65%	72.1%	79.9%	74.8%	86.6%
64	66.9%	63.1%	70.6%	78.6%	73%	85.6%
65	65.1%	61.2%	69%	77.1%	71.2%	84.6%
66	63.2%	59.1%	67.3%	75.6%	69.2%	83.4%
67	61.2%	57%	65.5%	73.9%	67.2%	82.2%
68	59.1%	54.8%	63.5%	72.1%	65%	80.8%
69	56.9%	52.4%	61.5%	70.1%	62.7%	79.4%
70	54.5%	49.9%	59.3%	68.1%	60.3%	77.8%
71	52.1%	47.3%	56.9%	65.9%	57.8%	76%
72	49.5%	44.7%	54.4%	63.6%	55.2%	74.1%
73	46.8%	41.9%	51.8%	61.1%	52.5%	72.1%
74	44%	39.1%	49%	58.6%	49.6%	69.8%
75	41.2%	36.3%	46.2%	55.8%	46.7%	67.4%
76	38.2%	33.4%	43.2%	53%	43.8%	64.7%
77	35.3%	30.5%	40.1%	50%	40.7%	61.9%
78	32.3%	27.7%	37%	46.9%	37.6%	58.8%
79	29.3%	24.9%	33.8%	43.8%	34.5%	55.6%
80	26.4%	22.2%	30.7%	40.5%	31.4%	52.2%
81	23.5%	19.6%	27.5%	37.3%	28.3%	48.6%
82	20.7%	17.1%	24.5%	33.9%	25.3%	44.9%
83	18.1%	14.8%	21.5%	30.6%	22.3%	41%
84	15.5%	12.6%	18.6%	27.3%	19.5%	37.1%
85	13.2%	10.6%	15.9%	24.1%	16.8%	33.2%
86	11%	8.81%	13.3%	21%	14.3%	29.3%
87	9.11%	7.23%	11.1%	18%	12%	25.5%
88	7.39%	5.84%	9%	15.3%	9.87%	21.8%
89	5.9%	4.65%	7.2%	12.7%	7.99%	18.4%
90	4.63%	3.64%	5.65%	10.4%	6.35%	15.2%
91	3.55%	2.8%	4.34%	8.35%	4.95%	12.3%
92	2.68%	2.12%	3.27%	6.56%	3.77%	9.78%
93	1.98%	1.57%	2.4%	5.04%	2.8%	7.59%
94	1.43%	1.14%	1.72%	3.78%	2.03%	5.75%
95	1.01%	0.81%	1.2%	2.77%	1.44%	4.25%
96	0.69%	0.57%	0.82%	1.97%	0.99%	3.05%
97	0.46%	0.39%	0.54%	1.36%	0.67%	2.13%
98	0.3%	0.26%	0.35%	0.91%	0.44%	1.44%
99	0.19%	0.17%	0.22%	0.6%	0.28%	0.95%
100	0.12%	0.11%	0.13%	0.38%	0.17%	0.6%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.67% in the birth year in the Congo and 0.97% in the Seychelles, 0.28% vs 0.17% at age 30, 1.95% vs 1.32% at 60, and 11% vs 8.1% at 80.

Below is a graph displaying the probabilities of dying in the Congo compared to the Seychelles at any given age.

Table

Age	Probability of dying
	Congo			Seychelles
	Average	Male	Female	Average	Male	Female
0	2.67%	2.99%	2.35%	0.97%	1.06%	0.87%
1	0.44%	0.44%	0.45%	0.07%	0.07%	0.07%
2	0.28%	0.28%	0.28%	0.06%	0.06%	0.06%
3	0.19%	0.2%	0.19%	0.05%	0.05%	0.05%
4	0.14%	0.15%	0.14%	0.04%	0.04%	0.04%
5	0.11%	0.11%	0.1%	0.03%	0.04%	0.03%
6	0.09%	0.1%	0.09%	0.03%	0.03%	0.03%
7	0.08%	0.09%	0.07%	0.03%	0.03%	0.02%
8	0.07%	0.08%	0.07%	0.02%	0.03%	0.02%
9	0.07%	0.07%	0.06%	0.02%	0.02%	0.02%
10	0.06%	0.07%	0.06%	0.02%	0.02%	0.02%
11	0.06%	0.07%	0.06%	0.02%	0.03%	0.02%
12	0.07%	0.07%	0.06%	0.02%	0.03%	0.02%
13	0.07%	0.08%	0.07%	0.02%	0.03%	0.02%
14	0.08%	0.09%	0.07%	0.03%	0.04%	0.01%
15	0.09%	0.1%	0.08%	0.03%	0.05%	0.01%
16	0.11%	0.12%	0.09%	0.04%	0.06%	0.02%
17	0.12%	0.14%	0.1%	0.05%	0.08%	0.02%
18	0.14%	0.16%	0.12%	0.06%	0.1%	0.02%
19	0.15%	0.18%	0.13%	0.07%	0.11%	0.03%
20	0.17%	0.19%	0.14%	0.09%	0.13%	0.04%
21	0.18%	0.21%	0.15%	0.1%	0.14%	0.06%
22	0.19%	0.22%	0.16%	0.12%	0.15%	0.08%
23	0.2%	0.23%	0.17%	0.13%	0.15%	0.1%
24	0.21%	0.24%	0.18%	0.13%	0.15%	0.11%
25	0.22%	0.25%	0.19%	0.13%	0.15%	0.11%
26	0.23%	0.26%	0.2%	0.13%	0.16%	0.1%
27	0.24%	0.27%	0.21%	0.14%	0.16%	0.1%
28	0.26%	0.28%	0.23%	0.14%	0.17%	0.1%
29	0.27%	0.3%	0.24%	0.16%	0.19%	0.11%
30	0.28%	0.31%	0.26%	0.17%	0.21%	0.12%
31	0.3%	0.33%	0.27%	0.19%	0.22%	0.13%
32	0.32%	0.35%	0.29%	0.2%	0.23%	0.14%
33	0.33%	0.37%	0.3%	0.2%	0.23%	0.16%
34	0.36%	0.39%	0.32%	0.2%	0.22%	0.17%
35	0.38%	0.42%	0.34%	0.2%	0.22%	0.18%
36	0.4%	0.44%	0.36%	0.2%	0.21%	0.18%
37	0.43%	0.47%	0.38%	0.2%	0.22%	0.17%
38	0.45%	0.5%	0.41%	0.21%	0.24%	0.16%
39	0.48%	0.53%	0.43%	0.23%	0.27%	0.15%
40	0.52%	0.57%	0.46%	0.25%	0.32%	0.14%
41	0.54%	0.6%	0.48%	0.29%	0.38%	0.14%
42	0.58%	0.65%	0.51%	0.33%	0.45%	0.14%
43	0.61%	0.69%	0.54%	0.38%	0.51%	0.15%
44	0.65%	0.73%	0.57%	0.42%	0.57%	0.18%
45	0.7%	0.79%	0.61%	0.44%	0.61%	0.21%
46	0.74%	0.84%	0.64%	0.48%	0.63%	0.25%
47	0.79%	0.9%	0.68%	0.51%	0.66%	0.3%
48	0.85%	0.97%	0.73%	0.54%	0.69%	0.34%
49	0.91%	1.04%	0.78%	0.58%	0.72%	0.39%
50	0.98%	1.12%	0.84%	0.62%	0.77%	0.42%
51	1.04%	1.19%	0.88%	0.66%	0.83%	0.44%
52	1.12%	1.29%	0.95%	0.71%	0.91%	0.46%
53	1.19%	1.37%	1.01%	0.77%	1%	0.47%
54	1.27%	1.47%	1.07%	0.82%	1.09%	0.48%
55	1.35%	1.57%	1.14%	0.89%	1.19%	0.52%
56	1.44%	1.68%	1.22%	0.97%	1.29%	0.58%
57	1.54%	1.79%	1.3%	1.03%	1.4%	0.64%
58	1.66%	1.93%	1.4%	1.1%	1.53%	0.7%
59	1.78%	2.08%	1.5%	1.21%	1.66%	0.77%
60	1.95%	2.28%	1.65%	1.32%	1.8%	0.84%
61	2.08%	2.43%	1.76%	1.44%	1.96%	0.92%
62	2.28%	2.65%	1.93%	1.57%	2.13%	1.02%
63	2.46%	2.86%	2.09%	1.69%	2.32%	1.12%
64	2.67%	3.09%	2.28%	1.85%	2.52%	1.23%
65	2.9%	3.34%	2.49%	2.03%	2.74%	1.35%
66	3.14%	3.62%	2.7%	2.23%	2.98%	1.48%
67	3.44%	3.95%	2.97%	2.45%	3.24%	1.64%
68	3.76%	4.32%	3.27%	2.69%	3.52%	1.82%
69	4.1%	4.7%	3.58%	2.94%	3.83%	2.02%
70	4.54%	5.18%	3.99%	3.2%	4.16%	2.25%
71	4.91%	5.6%	4.34%	3.53%	4.53%	2.5%
72	5.43%	6.16%	4.84%	3.86%	4.94%	2.79%
73	5.94%	6.7%	5.32%	4.2%	5.38%	3.12%
74	6.5%	7.28%	5.86%	4.64%	5.86%	3.5%
75	7.11%	7.91%	6.46%	5.14%	6.38%	3.92%
76	7.74%	8.57%	7.08%	5.6%	6.96%	4.39%
77	8.41%	9.26%	7.75%	6.11%	7.59%	4.92%
78	9.21%	10.1%	8.55%	6.74%	8.28%	5.5%
79	9.99%	10.9%	9.34%	7.4%	9.03%	6.15%
80	11%	11.8%	10.3%	8.1%	9.84%	6.87%
81	11.8%	12.6%	11.2%	8.91%	10.7%	7.67%
82	12.9%	13.7%	12.3%	9.85%	11.7%	8.56%
83	13.9%	14.7%	13.4%	10.8%	12.7%	9.54%
84	15.1%	15.8%	14.6%	11.8%	13.8%	10.6%
85	16.3%	16.9%	15.9%	12.8%	15%	11.8%
86	17.6%	18%	17.2%	14%	16.2%	13%
87	18.8%	19.2%	18.6%	15.3%	17.6%	14.4%
88	20.2%	20.4%	20%	16.7%	19%	15.8%
89	21.6%	21.6%	21.5%	18.2%	20.5%	17.3%
90	23.2%	23.1%	23.2%	19.8%	22.1%	18.9%
91	24.5%	24.3%	24.7%	21.5%	23.8%	20.6%
92	26.2%	25.8%	26.5%	23.2%	25.6%	22.4%
93	27.9%	27.3%	28.2%	25%	27.4%	24.2%
94	29.6%	28.8%	30.1%	26.8%	29.2%	26.2%
95	31.3%	30.3%	32%	28.8%	31%	28.1%
96	33%	31.7%	33.8%	30.9%	32.9%	30.2%
97	34.6%	33.1%	35.6%	32.9%	34.8%	32.2%
98	36.2%	34.3%	37.4%	34.9%	36.7%	34.3%
99	38%	36.1%	39.4%	36.8%	38.5%	36.4%
100	39.6%	37.4%	41.1%	38.8%	40.4%	38.5%

Death rate by age in the Congo compared to the Seychelles

In the Congo, the most common age of death is 78, compared to 82 in the Seychelles. The median age of death is 71.8 in the Congo and 77 in the Seychelles — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Congo			Seychelles
	Total	Male	Female	Total	Male	Female
0	2,669	2,985	2,347	967	1,060	872
1	433	425	441	70.5	69.1	71.9
2	269.7	269.8	269.5	57.5	58.3	56.8
3	186.3	189.4	183.1	47.3	49.3	45.3
4	135.6	139.5	131.7	39.5	42	36.8
5	104	107.7	100.1	33.4	36.1	30.5
6	87.5	91.9	82.9	28.7	31.4	26
7	76.9	81.7	72	25.5	27.9	22.9
8	68.7	73.3	64	23.3	25.6	20.8
9	63.5	67.8	59.1	22	24.5	19.3
10	61	65.2	56.6	21.3	24.3	18
11	60.8	65.6	55.9	21.3	25.4	16.9
12	63	68	58	22.1	28	15.8
13	68.1	73.3	62.8	23.9	32.5	14.9
14	76.3	82.8	69.7	27	39.3	14.3
15	88	96.3	79.6	31.9	49	14.4
16	101.9	113.8	89.7	38.6	61.6	15.4
17	117.2	133.7	100.4	47.7	77.1	18
18	133.5	155.1	111.4	59.1	94.3	23
19	146.1	170.3	121.4	72.3	111.5	31.3
20	158	184.2	131.3	86.9	126.9	44
21	168	196.6	138.8	101.4	138.2	61.5
22	178.5	207.8	148.7	114.1	145.1	80.1
23	188.3	217.3	158.7	123.3	147.9	95.2
24	197.6	225.7	169	128.3	148.5	103.5
25	206.9	234.1	179.3	129.3	149	103.9
26	216.8	242.3	190.8	129.9	151.5	100.8
27	227.6	252.1	202.6	133.5	157.9	98.1
28	238.5	262.8	213.9	140.9	169	98.7
29	250.5	274.3	226.3	151.7	184.1	103.5
30	264.4	288.9	239.4	165.8	200.9	113
31	275.1	301	249.1	179.9	214.5	126.1
32	292.4	319	265.8	189.8	221.8	141.2
33	308	336	280.5	195.4	220.9	156.2
34	326	355	296.8	196.8	214.2	168
35	347	377	316	194.5	206.7	174.3
36	367	399	334	192.2	203.5	173.6
37	387	422	352	193.3	208.7	166.9
38	411	448	373	200.4	225.7	156.4
39	434	474	393	216.2	256.8	145.4
40	461	506	416	242.1	302	136.8
41	482	529	434	275.9	358	133.2
42	513	565	459	316	420	136.2
43	539	596	481	359	479	147.3
44	569	631	505	391	525	167.7
45	605	673	534	415	559	197.6
46	638	712	561	444	582	236.3
47	676	757	593	474	601	281.1
48	721	807	631	502	623	326
49	765	859	669	532	651	365
50	820	921	716	567	689	396
51	857	966	747	601	738	416
52	915	1,030	797	639	799	428
53	962	1,084	836	684	867	435
54	1,014	1,144	881	730	941	447
55	1,067	1,204	927	784	1,013	482
56	1,123	1,266	980	843	1,087	531
57	1,182	1,332	1,032	888	1,167	579
58	1,255	1,411	1,098	944	1,251	630
59	1,327	1,491	1,163	1,023	1,338	688
60	1,426	1,596	1,254	1,100	1,430	750
61	1,493	1,666	1,319	1,183	1,527	817
62	1,598	1,773	1,420	1,271	1,628	889
63	1,689	1,862	1,510	1,354	1,732	967
64	1,784	1,953	1,609	1,450	1,839	1,051
65	1,886	2,046	1,717	1,565	1,948	1,139
66	1,986	2,143	1,819	1,683	2,061	1,237
67	2,103	2,254	1,942	1,811	2,174	1,348
68	2,223	2,365	2,075	1,942	2,287	1,471
69	2,334	2,463	2,201	2,059	2,400	1,604
70	2,476	2,586	2,367	2,179	2,511	1,748
71	2,558	2,649	2,472	2,326	2,620	1,904
72	2,690	2,752	2,634	2,457	2,724	2,072
73	2,778	2,808	2,754	2,569	2,821	2,251
74	2,861	2,849	2,875	2,718	2,908	2,441
75	2,926	2,871	2,980	2,868	2,983	2,638
76	2,960	2,862	3,058	2,965	3,045	2,841
77	2,969	2,829	3,109	3,057	3,090	3,043
78	2,977	2,793	3,163	3,162	3,115	3,238
79	2,932	2,706	3,161	3,240	3,116	3,421
80	2,898	2,633	3,165	3,283	3,090	3,586
81	2,773	2,477	3,069	3,319	3,035	3,729
82	2,671	2,343	3,001	3,344	2,950	3,840
83	2,519	2,170	2,871	3,318	2,833	3,912
84	2,351	1,991	2,715	3,218	2,686	3,937
85	2,150	1,791	2,515	3,088	2,512	3,906
86	1,939	1,590	2,297	2,937	2,315	3,814
87	1,715	1,387	2,053	2,758	2,101	3,659
88	1,492	1,193	1,802	2,550	1,873	3,443
89	1,273	1,006	1,549	2,315	1,640	3,175
90	1,072	841	1,311	2,062	1,406	2,867
91	872	679	1,070	1,791	1,179	2,532
92	704	547	865	1,520	965	2,186
93	552	429	678	1,260	769	1,840
94	422	329	518	1,013	594	1,505
95	315	246.7	385	795	447	1,195
96	227.9	180.2	277	609	327	921
97	160.2	128.3	193.1	449	231.9	687
98	109.4	89.1	130.4	318	159.6	496
99	73.5	61.5	86.1	218.8	106.3	345
100	0	2.72	0	45	0	91.5

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about the Congo and the Seychelles demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Congo vs Seychelles: Statistical Insights

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size