Life Expectancy in Congo vs Singapore (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 Singapore: 70.7 years vs 84.5 at 30, 78.3 vs 86.7 at 65, 85.9 vs 90.5 at 80 — significantly higher than the 66.4 vs 84.1 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 Singapore.

Table

Current age, years	Total life expectancy, years
	Congo			Singapore
	Average	Male	Female	Average	Male	Female
0	66.4	64.7	68.2	84.1	81.7	86.6
1	68.2	66.7	69.8	84.3	81.8	86.7
2	68.5	67	70.1	84.3	81.8	86.7
3	68.7	67.2	70.3	84.3	81.9	86.7
4	68.8	67.3	70.4	84.3	81.9	86.8
5	68.9	67.4	70.5	84.3	81.9	86.8
6	69	67.4	70.6	84.3	81.9	86.8
7	69.1	67.5	70.6	84.3	81.9	86.8
8	69.1	67.5	70.7	84.3	81.9	86.8
9	69.2	67.6	70.7	84.3	81.9	86.8
10	69.2	67.6	70.8	84.3	81.9	86.8
11	69.2	67.7	70.8	84.3	81.9	86.8
12	69.3	67.7	70.8	84.3	81.9	86.8
13	69.3	67.8	70.9	84.3	81.9	86.8
14	69.3	67.8	70.9	84.3	81.9	86.8
15	69.4	67.8	71	84.4	81.9	86.8
16	69.4	67.9	71	84.4	81.9	86.8
17	69.5	68	71.1	84.4	82	86.8
18	69.6	68	71.1	84.4	82	86.8
19	69.6	68.1	71.2	84.4	82	86.8
20	69.7	68.2	71.2	84.4	82	86.8
21	69.8	68.3	71.3	84.4	82	86.8
22	69.9	68.4	71.4	84.4	82	86.9
23	70	68.5	71.5	84.5	82.1	86.9
24	70.1	68.6	71.5	84.5	82.1	86.9
25	70.1	68.7	71.6	84.5	82.1	86.9
26	70.2	68.8	71.7	84.5	82.1	86.9
27	70.3	68.9	71.8	84.5	82.1	86.9
28	70.5	69	71.9	84.5	82.1	86.9
29	70.6	69.1	72	84.5	82.2	86.9
30	70.7	69.3	72.1	84.5	82.2	86.9
31	70.8	69.4	72.2	84.6	82.2	86.9
32	70.9	69.5	72.3	84.6	82.2	86.9
33	71	69.6	72.4	84.6	82.2	87
34	71.2	69.8	72.5	84.6	82.3	87
35	71.3	69.9	72.7	84.6	82.3	87
36	71.4	70.1	72.8	84.7	82.3	87
37	71.6	70.2	72.9	84.7	82.3	87
38	71.7	70.4	73.1	84.7	82.4	87
39	71.9	70.5	73.2	84.7	82.4	87
40	72	70.7	73.3	84.7	82.4	87.1
41	72.2	70.9	73.5	84.8	82.4	87.1
42	72.3	71	73.7	84.8	82.5	87.1
43	72.5	71.2	73.8	84.8	82.5	87.1
44	72.7	71.4	74	84.9	82.6	87.1
45	72.9	71.6	74.1	84.9	82.6	87.2
46	73.1	71.8	74.3	85	82.7	87.2
47	73.3	72	74.5	85	82.7	87.2
48	73.5	72.2	74.7	85	82.8	87.3
49	73.7	72.5	74.9	85.1	82.8	87.3
50	73.9	72.7	75.1	85.2	82.9	87.4
51	74.1	73	75.3	85.2	83	87.4
52	74.4	73.2	75.5	85.3	83.1	87.5
53	74.6	73.5	75.7	85.4	83.2	87.5
54	74.9	73.8	75.9	85.4	83.2	87.6
55	75.1	74.1	76.2	85.5	83.3	87.6
56	75.4	74.4	76.4	85.6	83.5	87.7
57	75.7	74.7	76.7	85.7	83.6	87.8
58	76	75	76.9	85.8	83.7	87.9
59	76.3	75.3	77.2	85.9	83.8	87.9
60	76.6	75.6	77.4	86	84	88
61	76.9	76	77.7	86.2	84.1	88.1
62	77.2	76.4	78	86.3	84.3	88.2
63	77.6	76.7	78.3	86.4	84.4	88.3
64	77.9	77.1	78.6	86.6	84.6	88.4
65	78.3	77.5	79	86.7	84.8	88.5
66	78.7	77.9	79.3	86.9	85	88.6
67	79.1	78.4	79.7	87	85.2	88.7
68	79.5	78.8	80	87.2	85.4	88.9
69	79.9	79.3	80.4	87.4	85.6	89
70	80.3	79.8	80.8	87.6	85.9	89.2
71	80.8	80.3	81.3	87.8	86.1	89.3
72	81.3	80.8	81.7	88.1	86.4	89.5
73	81.8	81.3	82.2	88.3	86.7	89.7
74	82.3	81.9	82.7	88.6	87.1	89.8
75	82.9	82.5	83.2	88.8	87.4	90.1
76	83.4	83.1	83.7	89.1	87.7	90.3
77	84	83.7	84.3	89.5	88.1	90.5
78	84.6	84.3	84.8	89.8	88.5	90.8
79	85.2	85	85.4	90.1	88.9	91.1
80	85.9	85.7	86	90.5	89.3	91.4
81	86.5	86.4	86.7	90.9	89.8	91.7
82	87.2	87.1	87.3	91.3	90.2	92.1
83	87.9	87.8	88	91.7	90.7	92.5
84	88.6	88.5	88.7	92.2	91.2	92.9
85	89.3	89.3	89.4	92.7	91.7	93.3
86	90.1	90.1	90.1	93.2	92.3	93.7
87	90.9	90.9	90.9	93.7	92.9	94.2
88	91.6	91.6	91.6	94.3	93.5	94.7
89	92.4	92.5	92.4	94.8	94.1	95.3
90	93.2	93.3	93.2	95.5	94.7	95.8
91	94	94.1	94	96.1	95.4	96.4
92	94.9	94.9	94.8	96.7	96.1	97
93	95.7	95.8	95.7	97.4	96.8	97.7
94	96.6	96.7	96.5	98.1	97.6	98.3
95	97.4	97.5	97.4	98.8	98.3	99
96	98.3	98.4	98.2	99.6	99.1	99.8
97	99.2	99.3	99.1	100.3	99.9	100.5
98	100.1	100.2	100.1	101.1	100.7	101.3
99	101	101	101	101.9	101.5	102.1
100	101.9	101.9	101.9	102.7	102.3	102.9

Odds of living to age in Congo vs Singapore

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 73.1% in the Congo and 95.1% in Singapore are expected to survive till at least 60 years old, 54.5% and 88.3% will live to 70 years or older, 26.4% and 71% to 80+ years, and 4.63% and 36.1% 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			Singapore
	Average	Male	Female	Average	Male	Female
1	97.3%	97%	97.7%	99.8%	99.8%	99.9%
2	96.9%	96.6%	97.2%	99.8%	99.8%	99.8%
3	96.6%	96.3%	96.9%	99.8%	99.8%	99.8%
4	96.4%	96.1%	96.8%	99.8%	99.8%	99.8%
5	96.3%	96%	96.6%	99.8%	99.8%	99.8%
6	96.2%	95.9%	96.5%	99.8%	99.8%	99.8%
7	96.1%	95.8%	96.4%	99.8%	99.7%	99.8%
8	96%	95.7%	96.4%	99.8%	99.7%	99.8%
9	96%	95.6%	96.3%	99.8%	99.7%	99.8%
10	95.9%	95.6%	96.2%	99.8%	99.7%	99.8%
11	95.8%	95.5%	96.2%	99.8%	99.7%	99.8%
12	95.8%	95.4%	96.1%	99.7%	99.7%	99.8%
13	95.7%	95.4%	96.1%	99.7%	99.7%	99.8%
14	95.7%	95.3%	96%	99.7%	99.7%	99.8%
15	95.6%	95.2%	95.9%	99.7%	99.7%	99.8%
16	95.5%	95.1%	95.9%	99.7%	99.7%	99.8%
17	95.4%	95%	95.8%	99.7%	99.6%	99.7%
18	95.3%	94.9%	95.7%	99.7%	99.6%	99.7%
19	95.1%	94.7%	95.6%	99.7%	99.6%	99.7%
20	95%	94.5%	95.4%	99.6%	99.6%	99.7%
21	94.8%	94.4%	95.3%	99.6%	99.5%	99.7%
22	94.7%	94.2%	95.2%	99.6%	99.5%	99.7%
23	94.5%	94%	95%	99.6%	99.5%	99.7%
24	94.3%	93.7%	94.9%	99.6%	99.5%	99.7%
25	94.1%	93.5%	94.7%	99.5%	99.4%	99.6%
26	93.9%	93.3%	94.5%	99.5%	99.4%	99.6%
27	93.7%	93%	94.3%	99.5%	99.4%	99.6%
28	93.4%	92.8%	94.1%	99.5%	99.3%	99.6%
29	93.2%	92.5%	93.9%	99.4%	99.3%	99.6%
30	93%	92.2%	93.7%	99.4%	99.3%	99.6%
31	92.7%	92%	93.4%	99.4%	99.2%	99.5%
32	92.4%	91.7%	93.2%	99.3%	99.2%	99.5%
33	92.1%	91.3%	92.9%	99.3%	99.1%	99.5%
34	91.8%	91%	92.6%	99.3%	99.1%	99.5%
35	91.5%	90.6%	92.4%	99.2%	99.1%	99.5%
36	91.1%	90.3%	92%	99.2%	99%	99.4%
37	90.8%	89.9%	91.7%	99.2%	98.9%	99.4%
38	90.4%	89.5%	91.4%	99.1%	98.9%	99.4%
39	90%	89%	91%	99.1%	98.8%	99.3%
40	89.5%	88.5%	90.6%	99%	98.8%	99.3%
41	89.1%	88%	90.2%	98.9%	98.7%	99.3%
42	88.6%	87.5%	89.7%	98.9%	98.6%	99.2%
43	88.1%	86.9%	89.3%	98.8%	98.5%	99.2%
44	87.6%	86.3%	88.8%	98.7%	98.4%	99.1%
45	87%	85.7%	88.3%	98.6%	98.2%	99%
46	86.4%	85%	87.8%	98.5%	98.1%	99%
47	85.7%	84.3%	87.2%	98.4%	98%	98.9%
48	85.1%	83.6%	86.6%	98.3%	97.8%	98.8%
49	84.3%	82.8%	86%	98.1%	97.6%	98.7%
50	83.6%	81.9%	85.3%	98%	97.4%	98.6%
51	82.8%	81%	84.6%	97.8%	97.2%	98.4%
52	81.9%	80%	83.8%	97.6%	97%	98.3%
53	81%	79%	83%	97.4%	96.7%	98.1%
54	80%	77.9%	82.2%	97.1%	96.4%	98%
55	79%	76.7%	81.3%	96.9%	96%	97.8%
56	77.9%	75.5%	80.4%	96.6%	95.7%	97.6%
57	76.8%	74.3%	79.4%	96.3%	95.3%	97.3%
58	75.6%	72.9%	78.4%	95.9%	94.8%	97.1%
59	74.4%	71.5%	77.3%	95.5%	94.3%	96.8%
60	73.1%	70%	76.1%	95.1%	93.8%	96.5%
61	71.6%	68.4%	74.9%	94.7%	93.2%	96.2%
62	70.1%	66.8%	73.6%	94.2%	92.6%	95.9%
63	68.5%	65%	72.1%	93.7%	91.9%	95.6%
64	66.9%	63.1%	70.6%	93.1%	91.1%	95.2%
65	65.1%	61.2%	69%	92.4%	90.3%	94.7%
66	63.2%	59.1%	67.3%	91.8%	89.4%	94.3%
67	61.2%	57%	65.5%	91%	88.4%	93.8%
68	59.1%	54.8%	63.5%	90.2%	87.4%	93.2%
69	56.9%	52.4%	61.5%	89.3%	86.2%	92.6%
70	54.5%	49.9%	59.3%	88.3%	84.9%	91.9%
71	52.1%	47.3%	56.9%	87.2%	83.4%	91.2%
72	49.5%	44.7%	54.4%	86%	81.9%	90.3%
73	46.8%	41.9%	51.8%	84.6%	80.1%	89.4%
74	44%	39.1%	49%	83.2%	78.2%	88.3%
75	41.2%	36.3%	46.2%	81.5%	76.2%	87.1%
76	38.2%	33.4%	43.2%	79.8%	74%	85.8%
77	35.3%	30.5%	40.1%	77.8%	71.6%	84.3%
78	32.3%	27.7%	37%	75.7%	69.1%	82.6%
79	29.3%	24.9%	33.8%	73.5%	66.5%	80.7%
80	26.4%	22.2%	30.7%	71%	63.6%	78.6%
81	23.5%	19.6%	27.5%	68.3%	60.6%	76.3%
82	20.7%	17.1%	24.5%	65.5%	57.4%	73.7%
83	18.1%	14.8%	21.5%	62.4%	54%	70.9%
84	15.5%	12.6%	18.6%	59.1%	50.4%	67.8%
85	13.2%	10.6%	15.9%	55.6%	46.7%	64.5%
86	11%	8.81%	13.3%	52%	42.9%	61%
87	9.11%	7.23%	11.1%	48.2%	39%	57.2%
88	7.39%	5.84%	9%	44.2%	35.1%	53.2%
89	5.9%	4.65%	7.2%	40.2%	31.2%	49%
90	4.63%	3.64%	5.65%	36.1%	27.3%	44.6%
91	3.55%	2.8%	4.34%	32%	23.6%	40.2%
92	2.68%	2.12%	3.27%	28%	20%	35.7%
93	1.98%	1.57%	2.4%	24.2%	16.7%	31.3%
94	1.43%	1.14%	1.72%	20.5%	13.7%	27%
95	1.01%	0.81%	1.2%	17.1%	11%	22.9%
96	0.69%	0.57%	0.82%	14%	8.64%	19.1%
97	0.46%	0.39%	0.54%	11.2%	6.62%	15.5%
98	0.3%	0.26%	0.35%	8.78%	4.95%	12.4%
99	0.19%	0.17%	0.22%	6.71%	3.6%	9.59%
100	0.12%	0.11%	0.13%	4.99%	2.55%	7.25%

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 0.17% in Singapore, 0.28% vs 0.03% at age 30, 1.95% vs 0.47% at 60, and 11% vs 3.75% at 80.

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

Table

Age	Probability of dying
	Congo			Singapore
	Average	Male	Female	Average	Male	Female
0	2.67%	2.99%	2.35%	0.17%	0.19%	0.14%
1	0.44%	0.44%	0.45%	0.02%	0.02%	0.02%
2	0.28%	0.28%	0.28%	0.01%	0.01%	0.01%
3	0.19%	0.2%	0.19%	0.009%	0.01%	0.008%
4	0.14%	0.15%	0.14%	0.007%	0.008%	0.006%
5	0.11%	0.11%	0.1%	0.006%	0.007%	0.004%
6	0.09%	0.1%	0.09%	0.005%	0.006%	0.004%
7	0.08%	0.09%	0.07%	0.005%	0.006%	0.004%
8	0.07%	0.08%	0.07%	0.005%	0.006%	0.004%
9	0.07%	0.07%	0.06%	0.005%	0.006%	0.004%
10	0.06%	0.07%	0.06%	0.006%	0.007%	0.005%
11	0.06%	0.07%	0.06%	0.007%	0.008%	0.006%
12	0.07%	0.07%	0.06%	0.008%	0.01%	0.007%
13	0.07%	0.08%	0.07%	0.01%	0.01%	0.008%
14	0.08%	0.09%	0.07%	0.01%	0.01%	0.009%
15	0.09%	0.1%	0.08%	0.01%	0.02%	0.01%
16	0.11%	0.12%	0.09%	0.02%	0.02%	0.01%
17	0.12%	0.14%	0.1%	0.02%	0.02%	0.01%
18	0.14%	0.16%	0.12%	0.02%	0.02%	0.01%
19	0.15%	0.18%	0.13%	0.02%	0.03%	0.01%
20	0.17%	0.19%	0.14%	0.02%	0.03%	0.01%
21	0.18%	0.21%	0.15%	0.02%	0.03%	0.01%
22	0.19%	0.22%	0.16%	0.02%	0.03%	0.01%
23	0.2%	0.23%	0.17%	0.02%	0.03%	0.01%
24	0.21%	0.24%	0.18%	0.02%	0.03%	0.01%
25	0.22%	0.25%	0.19%	0.02%	0.03%	0.01%
26	0.23%	0.26%	0.2%	0.02%	0.03%	0.01%
27	0.24%	0.27%	0.21%	0.02%	0.03%	0.02%
28	0.26%	0.28%	0.23%	0.03%	0.03%	0.02%
29	0.27%	0.3%	0.24%	0.03%	0.04%	0.02%
30	0.28%	0.31%	0.26%	0.03%	0.04%	0.02%
31	0.3%	0.33%	0.27%	0.03%	0.04%	0.02%
32	0.32%	0.35%	0.29%	0.03%	0.04%	0.02%
33	0.33%	0.37%	0.3%	0.03%	0.04%	0.02%
34	0.36%	0.39%	0.32%	0.04%	0.05%	0.02%
35	0.38%	0.42%	0.34%	0.04%	0.05%	0.03%
36	0.4%	0.44%	0.36%	0.04%	0.05%	0.03%
37	0.43%	0.47%	0.38%	0.05%	0.06%	0.03%
38	0.45%	0.5%	0.41%	0.05%	0.07%	0.03%
39	0.48%	0.53%	0.43%	0.06%	0.07%	0.04%
40	0.52%	0.57%	0.46%	0.06%	0.08%	0.04%
41	0.54%	0.6%	0.48%	0.07%	0.09%	0.05%
42	0.58%	0.65%	0.51%	0.08%	0.1%	0.05%
43	0.61%	0.69%	0.54%	0.09%	0.11%	0.06%
44	0.65%	0.73%	0.57%	0.1%	0.12%	0.07%
45	0.7%	0.79%	0.61%	0.11%	0.14%	0.08%
46	0.74%	0.84%	0.64%	0.12%	0.15%	0.09%
47	0.79%	0.9%	0.68%	0.13%	0.16%	0.1%
48	0.85%	0.97%	0.73%	0.14%	0.18%	0.11%
49	0.91%	1.04%	0.78%	0.16%	0.2%	0.12%
50	0.98%	1.12%	0.84%	0.18%	0.23%	0.13%
51	1.04%	1.19%	0.88%	0.2%	0.25%	0.15%
52	1.12%	1.29%	0.95%	0.22%	0.28%	0.16%
53	1.19%	1.37%	1.01%	0.25%	0.31%	0.18%
54	1.27%	1.47%	1.07%	0.27%	0.35%	0.19%
55	1.35%	1.57%	1.14%	0.3%	0.39%	0.21%
56	1.44%	1.68%	1.22%	0.33%	0.43%	0.23%
57	1.54%	1.79%	1.3%	0.36%	0.47%	0.25%
58	1.66%	1.93%	1.4%	0.4%	0.52%	0.27%
59	1.78%	2.08%	1.5%	0.43%	0.57%	0.29%
60	1.95%	2.28%	1.65%	0.47%	0.62%	0.32%
61	2.08%	2.43%	1.76%	0.52%	0.68%	0.34%
62	2.28%	2.65%	1.93%	0.56%	0.75%	0.37%
63	2.46%	2.86%	2.09%	0.62%	0.82%	0.41%
64	2.67%	3.09%	2.28%	0.68%	0.9%	0.44%
65	2.9%	3.34%	2.49%	0.74%	0.99%	0.49%
66	3.14%	3.62%	2.7%	0.82%	1.09%	0.54%
67	3.44%	3.95%	2.97%	0.9%	1.21%	0.59%
68	3.76%	4.32%	3.27%	1%	1.35%	0.66%
69	4.1%	4.7%	3.58%	1.12%	1.51%	0.74%
70	4.54%	5.18%	3.99%	1.24%	1.7%	0.83%
71	4.91%	5.6%	4.34%	1.39%	1.9%	0.93%
72	5.43%	6.16%	4.84%	1.56%	2.12%	1.05%
73	5.94%	6.7%	5.32%	1.75%	2.36%	1.19%
74	6.5%	7.28%	5.86%	1.95%	2.61%	1.35%
75	7.11%	7.91%	6.46%	2.17%	2.88%	1.54%
76	7.74%	8.57%	7.08%	2.42%	3.17%	1.76%
77	8.41%	9.26%	7.75%	2.69%	3.5%	2.01%
78	9.21%	10.1%	8.55%	3%	3.87%	2.28%
79	9.99%	10.9%	9.34%	3.35%	4.29%	2.6%
80	11%	11.8%	10.3%	3.75%	4.77%	2.95%
81	11.8%	12.6%	11.2%	4.2%	5.31%	3.35%
82	12.9%	13.7%	12.3%	4.71%	5.91%	3.8%
83	13.9%	14.7%	13.4%	5.27%	6.58%	4.31%
84	15.1%	15.8%	14.6%	5.87%	7.32%	4.87%
85	16.3%	16.9%	15.9%	6.55%	8.13%	5.51%
86	17.6%	18%	17.2%	7.32%	9.04%	6.22%
87	18.8%	19.2%	18.6%	8.18%	10%	7.02%
88	20.2%	20.4%	20%	9.15%	11.2%	7.9%
89	21.6%	21.6%	21.5%	10.2%	12.4%	8.88%
90	23.2%	23.1%	23.2%	11.3%	13.7%	9.95%
91	24.5%	24.3%	24.7%	12.5%	15.1%	11.1%
92	26.2%	25.8%	26.5%	13.8%	16.6%	12.4%
93	27.9%	27.3%	28.2%	15.1%	18.1%	13.7%
94	29.6%	28.8%	30.1%	16.6%	19.7%	15.2%
95	31.3%	30.3%	32%	18.2%	21.4%	16.8%
96	33%	31.7%	33.8%	19.9%	23.3%	18.6%
97	34.6%	33.1%	35.6%	21.7%	25.3%	20.4%
98	36.2%	34.3%	37.4%	23.6%	27.2%	22.4%
99	38%	36.1%	39.4%	25.6%	29.3%	24.5%
100	39.6%	37.4%	41.1%	27.4%	31.2%	26.3%

Death rate by age in the Congo compared to Singapore

In the Congo, the most common age of death is 78, compared to 89 in Singapore. The median age of death is 71.8 in the Congo and 86.5 in Singapore — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Congo			Singapore
	Total	Male	Female	Total	Male	Female
0	2,669	2,985	2,347	168.8	194.6	141.6
1	433	425	441	16.5	15.9	17.1
2	269.7	269.8	269.5	12.1	12.7	11.5
3	186.3	189.4	183.1	9.12	10.2	7.97
4	135.6	139.5	131.7	7.11	8.39	5.79
5	104	107.7	100.1	5.83	7.13	4.47
6	87.5	91.9	82.9	5.08	6.34	3.77
7	76.9	81.7	72	4.75	5.96	3.5
8	68.7	73.3	64	4.79	5.95	3.58
9	63.5	67.8	59.1	5.15	6.29	3.97
10	61	65.2	56.6	5.86	6.99	4.67
11	60.8	65.6	55.9	6.9	8.1	5.64
12	63	68	58	8.25	9.63	6.8
13	68.1	73.3	62.8	9.84	11.6	7.95
14	76.3	82.8	69.7	11.6	14	8.96
15	88	96.3	79.6	13.3	16.7	9.71
16	101.9	113.8	89.7	15.1	19.6	10.2
17	117.2	133.7	100.4	16.7	22.3	10.7
18	133.5	155.1	111.4	18.2	24.5	11.1
19	146.1	170.3	121.4	19.4	26.3	11.6
20	158	184.2	131.3	20.3	27.5	12.1
21	168	196.6	138.8	21	28.1	12.7
22	178.5	207.8	148.7	21.5	28.5	13.1
23	188.3	217.3	158.7	21.9	28.8	13.5
24	197.6	225.7	169	22.3	29.2	13.8
25	206.9	234.1	179.3	22.8	29.8	14.2
26	216.8	242.3	190.8	23.5	30.6	14.6
27	227.6	252.1	202.6	24.4	31.7	15.2
28	238.5	262.8	213.9	25.6	33.2	16.1
29	250.5	274.3	226.3	27.1	35	17.2
30	264.4	288.9	239.4	28.8	37.2	18.6
31	275.1	301	249.1	30.7	39.5	20.1
32	292.4	319	265.8	32.7	41.9	21.6
33	308	336	280.5	34.7	44.5	23
34	326	355	296.8	36.7	47.3	24.4
35	347	377	316	39.1	50.5	25.8
36	367	399	334	41.8	54.3	27.4
37	387	422	352	45.2	59.1	29.6
38	411	448	373	49.6	65	32.4
39	434	474	393	55.2	72.2	36.2
40	461	506	416	61.8	80.7	40.9
41	482	529	434	69.3	90.3	46.5
42	513	565	459	77.7	100.6	53
43	539	596	481	86.6	111.5	60.1
44	569	631	505	96	122.6	67.8
45	605	673	534	106	134.4	75.9
46	638	712	561	116.6	147	84.6
47	676	757	593	128.5	161.4	94.1
48	721	807	631	142.1	178	104.5
49	765	859	669	157.8	197.6	116.1
50	820	921	716	175.7	220.2	128.9
51	857	966	747	195.5	245.8	142.8
52	915	1,030	797	217.2	273.9	157.6
53	962	1,084	836	240.5	304	173.4
54	1,014	1,144	881	265.1	337	189.9
55	1,067	1,204	927	290.8	371	207
56	1,123	1,266	980	318	408	224.9
57	1,182	1,332	1,032	347	447	243.5
58	1,255	1,411	1,098	379	490	263.2
59	1,327	1,491	1,163	413	535	284.1
60	1,426	1,596	1,254	450	585	307
61	1,493	1,666	1,319	489	638	331
62	1,598	1,773	1,420	532	694	359
63	1,689	1,862	1,510	578	755	389
64	1,784	1,953	1,609	628	821	423
65	1,886	2,046	1,717	685	894	462
66	1,986	2,143	1,819	749	977	506
67	2,103	2,254	1,942	822	1,071	557
68	2,223	2,365	2,075	905	1,180	615
69	2,334	2,463	2,201	996	1,303	682
70	2,476	2,586	2,367	1,098	1,439	759
71	2,558	2,649	2,472	1,215	1,586	848
72	2,690	2,752	2,634	1,345	1,738	949
73	2,778	2,808	2,754	1,480	1,891	1,065
74	2,861	2,849	2,875	1,619	2,043	1,196
75	2,926	2,871	2,980	1,767	2,194	1,343
76	2,960	2,862	3,058	1,927	2,348	1,508
77	2,969	2,829	3,109	2,096	2,508	1,689
78	2,977	2,793	3,163	2,274	2,675	1,886
79	2,932	2,706	3,161	2,465	2,850	2,096
80	2,898	2,633	3,165	2,666	3,031	2,319
81	2,773	2,477	3,069	2,873	3,214	2,556
82	2,671	2,343	3,001	3,084	3,390	2,802
83	2,519	2,170	2,871	3,286	3,550	3,053
84	2,351	1,991	2,715	3,470	3,689	3,306
85	2,150	1,791	2,515	3,646	3,801	3,554
86	1,939	1,590	2,297	3,806	3,881	3,793
87	1,715	1,387	2,053	3,941	3,923	4,013
88	1,492	1,193	1,802	4,046	3,920	4,204
89	1,273	1,006	1,549	4,096	3,860	4,349
90	1,072	841	1,311	4,078	3,743	4,442
91	872	679	1,070	3,998	3,565	4,473
92	704	547	865	3,852	3,319	4,419
93	552	429	678	3,651	3,024	4,291
94	422	329	518	3,402	2,698	4,098
95	315	246.7	385	3,109	2,358	3,843
96	227.9	180.2	277	2,786	2,015	3,537
97	160.2	128.3	193.1	2,433	1,673	3,170
98	109.4	89.1	130.4	2,071	1,349	2,766
99	73.5	61.5	86.1	1,718	1,055	2,345
100	0	2.72	0	1,375	708	2,002

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 Singapore 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 Singapore: Data-driven Comparison

By topic vs comparisons:

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