Life Expectancy in Congo vs Malaysia (1950-2025)

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 Malaysia: 70.6 years vs 78.1 at 30, 78.3 vs 82.6 at 65, 85.9 vs 88.6 at 80 — significantly higher than the 66.2 vs 77 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 Malaysia.

Table

Current age, years	Total life expectancy, years
	Congo			Malaysia
	Average	Male	Female	Average	Male	Female
0	66.2	64.5	67.9	77	74.6	79.7
1	68.1	66.5	69.6	77.4	75	80
2	68.4	66.8	69.9	77.4	75.1	80
3	68.6	67	70.1	77.4	75.1	80.1
4	68.7	67.1	70.3	77.4	75.1	80.1
5	68.8	67.2	70.4	77.5	75.1	80.1
6	68.8	67.3	70.4	77.5	75.1	80.1
7	68.9	67.4	70.5	77.5	75.2	80.1
8	69	67.4	70.5	77.5	75.2	80.1
9	69	67.5	70.6	77.5	75.2	80.1
10	69	67.5	70.6	77.5	75.2	80.1
11	69.1	67.5	70.6	77.5	75.2	80.2
12	69.1	67.6	70.7	77.5	75.2	80.2
13	69.2	67.6	70.7	77.5	75.2	80.2
14	69.2	67.7	70.8	77.6	75.3	80.2
15	69.2	67.7	70.8	77.6	75.3	80.2
16	69.3	67.8	70.8	77.6	75.3	80.2
17	69.3	67.8	70.9	77.6	75.4	80.2
18	69.4	67.9	71	77.7	75.4	80.3
19	69.5	68	71	77.7	75.5	80.3
20	69.6	68.1	71.1	77.8	75.5	80.3
21	69.6	68.2	71.2	77.8	75.6	80.3
22	69.7	68.3	71.2	77.8	75.6	80.3
23	69.8	68.4	71.3	77.9	75.7	80.3
24	69.9	68.5	71.4	77.9	75.7	80.4
25	70	68.6	71.5	77.9	75.8	80.4
26	70.1	68.7	71.6	78	75.8	80.4
27	70.2	68.8	71.7	78	75.9	80.4
28	70.3	68.9	71.8	78.1	75.9	80.4
29	70.4	69	71.9	78.1	76	80.5
30	70.6	69.2	72	78.1	76	80.5
31	70.7	69.3	72.1	78.2	76.1	80.5
32	70.8	69.4	72.2	78.2	76.1	80.6
33	70.9	69.5	72.3	78.3	76.2	80.6
34	71	69.7	72.4	78.3	76.2	80.6
35	71.2	69.8	72.5	78.4	76.3	80.6
36	71.3	70	72.7	78.4	76.4	80.7
37	71.5	70.1	72.8	78.5	76.5	80.7
38	71.6	70.3	73	78.5	76.5	80.8
39	71.8	70.4	73.1	78.6	76.6	80.8
40	71.9	70.6	73.2	78.7	76.7	80.9
41	72.1	70.8	73.4	78.7	76.8	80.9
42	72.3	71	73.6	78.8	76.9	81
43	72.4	71.1	73.7	78.9	77	81
44	72.6	71.3	73.9	79	77.1	81.1
45	72.8	71.5	74.1	79.1	77.2	81.1
46	73	71.7	74.2	79.2	77.3	81.2
47	73.2	72	74.4	79.3	77.5	81.3
48	73.4	72.2	74.6	79.4	77.6	81.4
49	73.6	72.4	74.8	79.5	77.8	81.4
50	73.8	72.7	75	79.6	77.9	81.5
51	74.1	72.9	75.2	79.8	78.1	81.6
52	74.3	73.2	75.4	79.9	78.2	81.7
53	74.6	73.5	75.7	80.1	78.4	81.9
54	74.8	73.7	75.9	80.2	78.6	82
55	75.1	74	76.1	80.4	78.8	82.1
56	75.4	74.3	76.4	80.6	79	82.2
57	75.6	74.6	76.6	80.8	79.3	82.4
58	75.9	74.9	76.9	81	79.5	82.5
59	76.2	75.3	77.1	81.2	79.7	82.7
60	76.5	75.6	77.4	81.4	80	82.9
61	76.8	76	77.7	81.6	80.2	83
62	77.2	76.3	78	81.8	80.5	83.2
63	77.5	76.7	78.3	82.1	80.8	83.4
64	77.9	77.1	78.6	82.3	81.1	83.6
65	78.3	77.5	78.9	82.6	81.4	83.8
66	78.6	77.9	79.3	82.9	81.7	84.1
67	79	78.4	79.6	83.2	82	84.3
68	79.4	78.8	80	83.5	82.4	84.6
69	79.9	79.3	80.4	83.8	82.8	84.8
70	80.3	79.8	80.8	84.1	83.1	85.1
71	80.8	80.3	81.2	84.5	83.5	85.4
72	81.3	80.8	81.7	84.8	83.9	85.7
73	81.8	81.3	82.2	85.2	84.3	86
74	82.3	81.9	82.6	85.6	84.7	86.3
75	82.8	82.5	83.2	86	85.2	86.7
76	83.4	83.1	83.7	86.4	85.7	87.1
77	84	83.7	84.2	86.9	86.2	87.6
78	84.6	84.3	84.8	87.5	86.8	88.1
79	85.2	85	85.4	88.1	87.4	88.6
80	85.9	85.7	86	88.6	88	89.2
81	86.5	86.4	86.6	89.2	88.6	89.7
82	87.2	87.1	87.3	89.8	89.2	90.3
83	87.9	87.8	88	90.3	89.8	90.8
84	88.6	88.5	88.6	90.9	90.4	91.4
85	89.3	89.3	89.4	91.5	91	91.9
86	90.1	90.1	90.1	92.1	91.6	92.5
87	90.8	90.8	90.8	92.8	92.3	93.1
88	91.6	91.6	91.6	93.4	93	93.8
89	92.4	92.5	92.4	94.1	93.7	94.5
90	93.2	93.3	93.2	94.8	94.4	95.2
91	94	94.1	94	95.6	95.2	95.9
92	94.9	94.9	94.8	96.3	95.9	96.6
93	95.7	95.8	95.7	97.1	96.7	97.3
94	96.6	96.7	96.5	97.8	97.5	98.1
95	97.4	97.5	97.4	98.6	98.3	98.8
96	98.3	98.4	98.2	99.4	99.1	99.6
97	99.2	99.3	99.1	100.2	99.9	100.4
98	100.1	100.2	100.1	101.1	100.8	101.2
99	101	101	101	101.9	101.6	102
100	101.9	101.9	101.9	102.8	102.5	102.9

Odds of living to age in Congo vs Malaysia

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 72.7% in the Congo and 87.8% in Malaysia are expected to survive till at least 60 years old, 54.1% and 74.9% will live to 70 years or older, 26.1% and 49% to 80+ years, and 4.56% and 18.3% 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			Malaysia
	Average	Male	Female	Average	Male	Female
1	97.3%	97%	97.6%	99.5%	99.5%	99.6%
2	96.8%	96.5%	97.1%	99.5%	99.4%	99.5%
3	96.5%	96.2%	96.9%	99.4%	99.4%	99.5%
4	96.4%	96.1%	96.7%	99.4%	99.4%	99.5%
5	96.2%	95.9%	96.5%	99.4%	99.3%	99.5%
6	96.1%	95.8%	96.4%	99.4%	99.3%	99.4%
7	96%	95.7%	96.3%	99.4%	99.3%	99.4%
8	95.9%	95.6%	96.3%	99.3%	99.3%	99.4%
9	95.9%	95.5%	96.2%	99.3%	99.3%	99.4%
10	95.8%	95.5%	96.1%	99.3%	99.2%	99.4%
11	95.7%	95.4%	96.1%	99.3%	99.2%	99.4%
12	95.7%	95.3%	96%	99.3%	99.2%	99.4%
13	95.6%	95.3%	96%	99.3%	99.2%	99.3%
14	95.5%	95.2%	95.9%	99.2%	99.1%	99.3%
15	95.5%	95.1%	95.8%	99.2%	99.1%	99.3%
16	95.4%	95%	95.7%	99.2%	99%	99.3%
17	95.3%	94.9%	95.7%	99.1%	99%	99.3%
18	95.2%	94.8%	95.5%	99%	98.9%	99.2%
19	95%	94.6%	95.4%	99%	98.8%	99.2%
20	94.9%	94.4%	95.3%	98.9%	98.7%	99.2%
21	94.7%	94.2%	95.2%	98.8%	98.6%	99.1%
22	94.5%	94%	95%	98.8%	98.5%	99.1%
23	94.4%	93.8%	94.9%	98.7%	98.4%	99.1%
24	94.2%	93.6%	94.7%	98.6%	98.3%	99%
25	94%	93.4%	94.5%	98.6%	98.2%	99%
26	93.7%	93.1%	94.4%	98.5%	98.1%	99%
27	93.5%	92.9%	94.2%	98.4%	98%	98.9%
28	93.3%	92.6%	94%	98.4%	97.9%	98.9%
29	93%	92.4%	93.7%	98.3%	97.8%	98.8%
30	92.8%	92.1%	93.5%	98.2%	97.7%	98.8%
31	92.5%	91.8%	93.3%	98.1%	97.6%	98.7%
32	92.2%	91.5%	93%	98.1%	97.5%	98.7%
33	91.9%	91.2%	92.7%	98%	97.4%	98.6%
34	91.6%	90.8%	92.4%	97.8%	97.2%	98.6%
35	91.3%	90.5%	92.1%	97.7%	97.1%	98.5%
36	90.9%	90.1%	91.8%	97.6%	96.9%	98.4%
37	90.6%	89.7%	91.5%	97.5%	96.7%	98.3%
38	90.2%	89.2%	91.1%	97.3%	96.5%	98.2%
39	89.7%	88.8%	90.7%	97.2%	96.3%	98.1%
40	89.3%	88.3%	90.3%	97%	96.1%	98%
41	88.8%	87.8%	89.9%	96.8%	95.8%	97.9%
42	88.3%	87.3%	89.5%	96.6%	95.6%	97.8%
43	87.8%	86.7%	89%	96.4%	95.3%	97.6%
44	87.3%	86.1%	88.5%	96.1%	95%	97.5%
45	86.7%	85.4%	88%	95.9%	94.6%	97.3%
46	86.1%	84.8%	87.4%	95.6%	94.3%	97.1%
47	85.4%	84%	86.9%	95.3%	93.9%	96.9%
48	84.8%	83.3%	86.3%	94.9%	93.5%	96.7%
49	84%	82.5%	85.6%	94.6%	93%	96.4%
50	83.3%	81.6%	85%	94.2%	92.5%	96.2%
51	82.4%	80.7%	84.2%	93.8%	92%	95.9%
52	81.6%	79.7%	83.5%	93.3%	91.4%	95.5%
53	80.6%	78.7%	82.7%	92.8%	90.8%	95.1%
54	79.7%	77.6%	81.8%	92.2%	90.1%	94.7%
55	78.7%	76.4%	80.9%	91.6%	89.3%	94.3%
56	77.6%	75.2%	80%	91%	88.5%	93.8%
57	76.5%	73.9%	79%	90.3%	87.6%	93.3%
58	75.3%	72.6%	78%	89.5%	86.7%	92.7%
59	74%	71.2%	76.9%	88.7%	85.7%	92.1%
60	72.7%	69.7%	75.7%	87.8%	84.7%	91.5%
61	71.2%	68.1%	74.5%	86.9%	83.6%	90.8%
62	69.7%	66.4%	73.1%	86%	82.4%	90%
63	68.1%	64.6%	71.7%	84.9%	81.1%	89.2%
64	66.5%	62.8%	70.2%	83.8%	79.8%	88.3%
65	64.7%	60.8%	68.6%	82.5%	78.3%	87.3%
66	62.8%	58.8%	66.9%	81.2%	76.8%	86.2%
67	60.8%	56.6%	65%	79.7%	75.1%	85%
68	58.7%	54.4%	63.1%	78.2%	73.2%	83.8%
69	56.5%	52%	61%	76.6%	71.4%	82.4%
70	54.1%	49.6%	58.8%	74.9%	69.4%	81%
71	51.7%	47%	56.5%	73.1%	67.4%	79.5%
72	49.1%	44.3%	54%	71.2%	65.3%	77.8%
73	46.4%	41.6%	51.4%	69.2%	63%	76%
74	43.7%	38.8%	48.6%	66.9%	60.6%	74%
75	40.8%	36%	45.8%	64.5%	58%	71.7%
76	37.9%	33.1%	42.8%	61.7%	55.2%	69.1%
77	35%	30.3%	39.7%	58.7%	52.2%	66.1%
78	32%	27.5%	36.6%	55.6%	49%	62.9%
79	29%	24.7%	33.5%	52.3%	45.8%	59.6%
80	26.1%	22%	30.4%	49%	42.6%	56.2%
81	23.2%	19.4%	27.2%	45.8%	39.5%	52.8%
82	20.5%	16.9%	24.2%	42.6%	36.4%	49.6%
83	17.8%	14.6%	21.2%	39.5%	33.5%	46.3%
84	15.4%	12.4%	18.3%	36.4%	30.5%	43.1%
85	13%	10.5%	15.7%	33.3%	27.6%	39.9%
86	10.9%	8.7%	13.2%	30.2%	24.7%	36.5%
87	8.98%	7.13%	10.9%	27.1%	21.9%	33.1%
88	7.29%	5.76%	8.86%	24.1%	19.1%	29.7%
89	5.81%	4.58%	7.08%	21.1%	16.5%	26.4%
90	4.56%	3.59%	5.56%	18.3%	14%	23.2%
91	3.5%	2.76%	4.26%	15.7%	11.8%	20.1%
92	2.64%	2.09%	3.21%	13.2%	9.76%	17.2%
93	1.95%	1.55%	2.36%	11.1%	7.96%	14.6%
94	1.4%	1.13%	1.69%	9.12%	6.39%	12.2%
95	0.99%	0.8%	1.18%	7.4%	5.04%	10.1%
96	0.68%	0.56%	0.8%	5.89%	3.9%	8.18%
97	0.45%	0.38%	0.53%	4.61%	2.95%	6.51%
98	0.3%	0.26%	0.34%	3.53%	2.19%	5.08%
99	0.19%	0.17%	0.21%	2.65%	1.58%	3.89%
100	0.12%	0.11%	0.13%	1.95%	1.12%	2.91%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.73% in the birth year in the Congo and 0.49% in Malaysia, 0.29% vs 0.09% at age 30, 1.97% vs 1.03% at 60, and 11% vs 6.59% at 80.

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

Table

Age	Probability of dying
	Congo			Malaysia
	Average	Male	Female	Average	Male	Female
0	2.73%	3.05%	2.42%	0.49%	0.55%	0.43%
1	0.46%	0.45%	0.47%	0.03%	0.03%	0.04%
2	0.29%	0.28%	0.29%	0.03%	0.03%	0.03%
3	0.2%	0.2%	0.19%	0.03%	0.03%	0.02%
4	0.14%	0.15%	0.14%	0.02%	0.02%	0.02%
5	0.11%	0.11%	0.11%	0.02%	0.02%	0.02%
6	0.09%	0.1%	0.09%	0.02%	0.02%	0.02%
7	0.08%	0.09%	0.08%	0.02%	0.02%	0.01%
8	0.07%	0.08%	0.07%	0.02%	0.02%	0.01%
9	0.07%	0.07%	0.06%	0.02%	0.02%	0.01%
10	0.07%	0.07%	0.06%	0.02%	0.02%	0.01%
11	0.07%	0.07%	0.06%	0.02%	0.02%	0.01%
12	0.07%	0.07%	0.06%	0.02%	0.03%	0.02%
13	0.07%	0.08%	0.07%	0.03%	0.03%	0.02%
14	0.08%	0.09%	0.07%	0.03%	0.04%	0.02%
15	0.09%	0.1%	0.09%	0.04%	0.06%	0.02%
16	0.11%	0.12%	0.1%	0.05%	0.07%	0.02%
17	0.13%	0.14%	0.11%	0.06%	0.09%	0.03%
18	0.14%	0.17%	0.12%	0.07%	0.1%	0.03%
19	0.16%	0.18%	0.13%	0.07%	0.11%	0.03%
20	0.17%	0.2%	0.14%	0.07%	0.11%	0.03%
21	0.18%	0.21%	0.15%	0.07%	0.1%	0.03%
22	0.19%	0.23%	0.16%	0.07%	0.1%	0.03%
23	0.2%	0.24%	0.17%	0.07%	0.09%	0.03%
24	0.21%	0.25%	0.18%	0.06%	0.09%	0.04%
25	0.23%	0.26%	0.2%	0.06%	0.09%	0.04%
26	0.24%	0.27%	0.21%	0.07%	0.09%	0.04%
27	0.25%	0.28%	0.22%	0.07%	0.09%	0.04%
28	0.26%	0.29%	0.23%	0.07%	0.1%	0.04%
29	0.28%	0.3%	0.25%	0.08%	0.1%	0.05%
30	0.29%	0.32%	0.26%	0.09%	0.11%	0.05%
31	0.3%	0.33%	0.27%	0.09%	0.12%	0.06%
32	0.32%	0.35%	0.29%	0.1%	0.13%	0.06%
33	0.34%	0.37%	0.31%	0.11%	0.15%	0.07%
34	0.36%	0.4%	0.33%	0.12%	0.16%	0.07%
35	0.39%	0.42%	0.35%	0.13%	0.17%	0.08%
36	0.41%	0.45%	0.37%	0.14%	0.18%	0.09%
37	0.44%	0.48%	0.39%	0.15%	0.2%	0.1%
38	0.46%	0.51%	0.42%	0.16%	0.22%	0.1%
39	0.49%	0.54%	0.44%	0.18%	0.24%	0.11%
40	0.53%	0.58%	0.47%	0.2%	0.26%	0.12%
41	0.55%	0.61%	0.49%	0.21%	0.28%	0.14%
42	0.59%	0.66%	0.52%	0.23%	0.3%	0.15%
43	0.62%	0.7%	0.55%	0.25%	0.33%	0.16%
44	0.66%	0.74%	0.58%	0.27%	0.35%	0.18%
45	0.71%	0.8%	0.62%	0.29%	0.38%	0.19%
46	0.75%	0.85%	0.65%	0.32%	0.41%	0.21%
47	0.8%	0.91%	0.69%	0.35%	0.45%	0.23%
48	0.86%	0.98%	0.74%	0.38%	0.49%	0.25%
49	0.92%	1.05%	0.79%	0.41%	0.53%	0.28%
50	0.99%	1.14%	0.85%	0.45%	0.58%	0.31%
51	1.05%	1.21%	0.9%	0.5%	0.64%	0.35%
52	1.13%	1.3%	0.96%	0.55%	0.7%	0.39%
53	1.2%	1.39%	1.02%	0.6%	0.77%	0.43%
54	1.28%	1.48%	1.09%	0.66%	0.84%	0.47%
55	1.36%	1.58%	1.15%	0.72%	0.91%	0.52%
56	1.46%	1.69%	1.23%	0.78%	0.99%	0.56%
57	1.55%	1.81%	1.31%	0.84%	1.07%	0.61%
58	1.67%	1.95%	1.42%	0.9%	1.14%	0.65%
59	1.8%	2.1%	1.52%	0.96%	1.22%	0.71%
60	1.97%	2.3%	1.66%	1.03%	1.3%	0.76%
61	2.1%	2.45%	1.78%	1.12%	1.4%	0.83%
62	2.3%	2.67%	1.95%	1.22%	1.51%	0.91%
63	2.48%	2.88%	2.11%	1.34%	1.66%	1.01%
64	2.69%	3.11%	2.3%	1.48%	1.83%	1.12%
65	2.92%	3.36%	2.51%	1.63%	2.02%	1.24%
66	3.16%	3.64%	2.72%	1.79%	2.21%	1.37%
67	3.46%	3.98%	2.99%	1.94%	2.4%	1.49%
68	3.78%	4.34%	3.29%	2.09%	2.58%	1.61%
69	4.12%	4.73%	3.6%	2.23%	2.74%	1.73%
70	4.56%	5.21%	4.02%	2.39%	2.92%	1.87%
71	4.94%	5.62%	4.37%	2.58%	3.13%	2.06%
72	5.46%	6.19%	4.87%	2.85%	3.42%	2.31%
73	5.97%	6.72%	5.35%	3.22%	3.81%	2.67%
74	6.53%	7.31%	5.89%	3.69%	4.29%	3.12%
75	7.14%	7.95%	6.49%	4.24%	4.86%	3.67%
76	7.77%	8.6%	7.12%	4.85%	5.47%	4.27%
77	8.45%	9.29%	7.79%	5.42%	6.06%	4.85%
78	9.25%	10.1%	8.58%	5.91%	6.56%	5.32%
79	10%	10.9%	9.38%	6.29%	6.98%	5.68%
80	11%	11.9%	10.4%	6.59%	7.34%	5.94%
81	11.8%	12.7%	11.2%	6.9%	7.72%	6.19%
82	12.9%	13.7%	12.3%	7.28%	8.18%	6.51%
83	14%	14.7%	13.4%	7.79%	8.78%	6.96%
84	15.2%	15.8%	14.7%	8.47%	9.56%	7.58%
85	16.3%	16.9%	15.9%	9.3%	10.5%	8.35%
86	17.6%	18.1%	17.3%	10.3%	11.5%	9.26%
87	18.9%	19.2%	18.6%	11.3%	12.6%	10.2%
88	20.2%	20.5%	20.1%	12.3%	13.8%	11.3%
89	21.6%	21.7%	21.6%	13.4%	14.9%	12.2%
90	23.2%	23.1%	23.3%	14.4%	16%	13.2%
91	24.6%	24.3%	24.7%	15.4%	17.1%	14.2%
92	26.3%	25.8%	26.6%	16.4%	18.4%	15.2%
93	27.9%	27.3%	28.3%	17.6%	19.7%	16.3%
94	29.6%	28.8%	30.1%	18.9%	21.2%	17.6%
95	31.4%	30.3%	32%	20.3%	22.7%	19%
96	33%	31.7%	33.9%	21.8%	24.3%	20.4%
97	34.7%	33.1%	35.7%	23.3%	25.9%	21.9%
98	36.2%	34.3%	37.4%	24.8%	27.6%	23.4%
99	38.1%	36.1%	39.4%	26.5%	29.2%	25%
100	39.7%	37.3%	41.2%	27.9%	30.8%	26.5%

Death rate by age in the Congo compared to Malaysia

In the Congo, the most common age of death is 78, compared to 79 in Malaysia. The median age of death is 71.7 in the Congo and 79.7 in Malaysia — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Congo			Malaysia
	Total	Male	Female	Total	Male	Female
0	2,735	3,048	2,416	491	550	428
1	444	434	455	34.7	34.3	35
2	276.1	274.8	277.4	29.8	30.5	29.1
3	190.4	192.6	188.2	25.8	27.3	24.3
4	138.5	141.6	135.3	22.6	24.5	20.5
5	106.1	109.2	102.8	20	22.2	17.6
6	89.3	93.3	85.1	17.9	20.3	15.5
7	78.6	83	74	16.6	18.9	14.1
8	70.3	74.6	65.8	15.9	18.3	13.3
9	65	69	60.8	15.9	18.5	13.1
10	62.4	66.5	58.2	16.5	19.6	13.3
11	62.3	66.9	57.5	18.1	21.9	14.1
12	64.6	69.3	59.7	21	26.2	15.3
13	69.8	74.8	64.6	25.4	33	17.1
14	78.2	84.5	71.8	31.8	43.2	19.4
15	90.2	98.2	82	40.4	57.2	22
16	104.4	116.1	92.4	50.3	73.7	24.8
17	120.1	136.4	103.4	60.1	90.3	27.4
18	136.8	158.3	114.8	67.5	102.5	29.7
19	149.6	173.8	125	71.4	108.3	31.3
20	161.8	187.9	135.3	71.7	107.3	32.4
21	172	200.5	143	69.6	102.2	33.1
22	182.8	212	153.2	66.6	96.1	33.6
23	192.8	221.7	163.4	64.2	90.9	34.3
24	202.3	230.2	173.9	62.9	87.6	35.2
25	211.9	238.8	184.5	63.2	86.6	36.5
26	222	247.1	196.3	64.8	87.6	38.3
27	232.9	257	208.3	67.8	90.6	40.8
28	244.1	267.9	219.8	72.1	95.5	44
29	256.3	279.6	232.5	77.7	102.2	47.8
30	270.4	294.4	245.9	84.4	110.5	52.4
31	281.2	306	255.7	91.8	119.9	57.3
32	298.8	324	272.7	100	130.3	62.6
33	315	342	287.7	108.6	141.5	68.2
34	333	362	304	117.6	153.4	73.9
35	354	384	324	127.1	165.9	79.9
36	374	405	342	137.2	179.2	86.4
37	395	429	360	148.2	193.6	93.7
38	419	456	381	160.5	209.5	102
39	441	481	401	174.2	227	111.6
40	469	513	424	189.4	246	122.3
41	490	537	442	205.9	266.4	133.9
42	521	572	467	223.5	288.2	146.1
43	547	603	489	242.1	311	159
44	577	639	513	261.6	335	172.4
45	613	681	543	282.1	361	186.8
46	646	719	569	304	389	203
47	684	764	602	329	420	221.8
48	728	815	640	357	454	244
49	773	866	677	389	493	270.1
50	827	929	724	426	537	300
51	865	973	754	467	585	334
52	922	1,037	805	512	638	371
53	968	1,091	843	560	695	409
54	1,020	1,150	888	610	755	448
55	1,073	1,210	934	659	816	488
56	1,129	1,272	986	709	876	527
57	1,188	1,338	1,038	757	934	566
58	1,261	1,417	1,104	805	988	607
59	1,332	1,495	1,169	853	1,042	650
60	1,431	1,600	1,259	907	1,099	698
61	1,498	1,669	1,323	970	1,166	754
62	1,602	1,775	1,424	1,045	1,248	820
63	1,692	1,863	1,514	1,134	1,346	899
64	1,787	1,953	1,611	1,236	1,460	987
65	1,888	2,046	1,719	1,345	1,581	1,082
66	1,986	2,142	1,820	1,453	1,700	1,177
67	2,100	2,252	1,942	1,550	1,804	1,267
68	2,220	2,361	2,075	1,632	1,888	1,348
69	2,329	2,459	2,199	1,707	1,958	1,427
70	2,470	2,580	2,364	1,785	2,025	1,517
71	2,552	2,642	2,467	1,888	2,112	1,635
72	2,683	2,743	2,628	2,030	2,233	1,801
73	2,771	2,798	2,746	2,226	2,399	2,028
74	2,852	2,837	2,866	2,467	2,602	2,311
75	2,914	2,858	2,969	2,735	2,822	2,633
76	2,946	2,847	3,045	2,991	3,022	2,952
77	2,953	2,813	3,094	3,184	3,162	3,205
78	2,959	2,775	3,145	3,281	3,218	3,347
79	2,914	2,687	3,141	3,287	3,199	3,383
80	2,878	2,613	3,143	3,228	3,129	3,336
81	2,752	2,457	3,047	3,156	3,048	3,272
82	2,649	2,323	2,977	3,100	2,980	3,228
83	2,497	2,150	2,847	3,076	2,937	3,225
84	2,328	1,971	2,690	3,084	2,916	3,267
85	2,127	1,772	2,490	3,101	2,893	3,329
86	1,917	1,572	2,273	3,103	2,849	3,382
87	1,695	1,371	2,029	3,064	2,763	3,397
88	1,474	1,178	1,780	2,970	2,628	3,351
89	1,256	993	1,528	2,819	2,448	3,233
90	1,057	830	1,293	2,627	2,240	3,063
91	859	670	1,055	2,411	2,018	2,857
92	693	539	852	2,178	1,792	2,620
93	543	423	667	1,946	1,570	2,380
94	415	324	509	1,725	1,354	2,150
95	310	243.1	378	1,504	1,145	1,915
96	223.9	177.5	271.7	1,285	946	1,672
97	157.3	126.3	189.1	1,073	764	1,426
98	107.3	87.8	127.6	878	602	1,191
99	72	60.6	84.2	702	463	974
100	0	2.64	0	485	271.8	727

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 Malaysia 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 Malaysia: Comparing Facts

By topic vs comparisons:

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