Life Expectancy in Congo vs East Timor (1950-2026)

Life expectancy by current age

Chart Table

Congo

Male

Female

East Timor

Male

Female

1x

Current age, years	Total life expectancy, years
	Congo			East Timor
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	101.7	101.7	101.8
99	101	101	101	100.8	100.7	100.9
98	100.1	100.2	100.1	99.9	99.8	100
97	99.2	99.3	99.1	99	98.9	99.1
96	98.3	98.4	98.2	98.1	98	98.2
95	97.4	97.5	97.4	97.2	97.1	97.3
94	96.6	96.7	96.5	96.4	96.2	96.4
93	95.7	95.8	95.7	95.5	95.4	95.6
92	94.9	94.9	94.8	94.6	94.5	94.7
91	94	94.1	94	93.8	93.7	93.9
90	93.2	93.3	93.2	93	92.8	93.1
89	92.4	92.5	92.4	92.2	92	92.3
88	91.6	91.6	91.6	91.4	91.2	91.5
87	90.9	90.9	90.9	90.6	90.4	90.8
86	90.1	90.1	90.1	89.9	89.7	90
85	89.3	89.3	89.4	89.1	88.9	89.3
84	88.6	88.5	88.7	88.4	88.2	88.6
83	87.9	87.8	88	87.7	87.5	87.9
82	87.2	87.1	87.3	87	86.8	87.2
81	86.5	86.4	86.7	86.4	86.1	86.6
80	85.9	85.7	86	85.7	85.5	86
79	85.2	85	85.4	85.1	84.8	85.4
78	84.6	84.3	84.8	84.5	84.2	84.8
77	84	83.7	84.3	84	83.6	84.3
76	83.4	83.1	83.7	83.4	83	83.7
75	82.9	82.5	83.2	82.9	82.5	83.2
74	82.3	81.9	82.7	82.4	81.9	82.8
73	81.8	81.3	82.2	81.9	81.4	82.3
72	81.3	80.8	81.7	81.4	80.9	81.9
71	80.8	80.3	81.3	81	80.4	81.4
70	80.3	79.8	80.8	80.5	80	81.1
69	79.9	79.3	80.4	80.1	79.5	80.7
68	79.5	78.8	80	79.7	79.1	80.3
67	79.1	78.4	79.7	79.3	78.7	80
66	78.7	77.9	79.3	79	78.3	79.7
65	78.3	77.5	79	78.6	77.9	79.3
64	77.9	77.1	78.6	78.3	77.5	79.1
63	77.6	76.7	78.3	78	77.2	78.8
62	77.2	76.4	78	77.7	76.8	78.5
61	76.9	76	77.7	77.4	76.5	78.3
60	76.6	75.6	77.4	77.1	76.2	78
59	76.3	75.3	77.2	76.8	75.9	77.8
58	76	75	76.9	76.6	75.6	77.6
57	75.7	74.7	76.7	76.4	75.4	77.4
56	75.4	74.4	76.4	76.1	75.1	77.2
55	75.1	74.1	76.2	75.9	74.9	77
54	74.9	73.8	75.9	75.7	74.6	76.8
53	74.6	73.5	75.7	75.5	74.4	76.7
52	74.4	73.2	75.5	75.3	74.2	76.5
51	74.1	73	75.3	75.1	74	76.3
50	73.9	72.7	75.1	75	73.8	76.2
49	73.7	72.5	74.9	74.8	73.7	76
48	73.5	72.2	74.7	74.7	73.5	75.9
47	73.3	72	74.5	74.5	73.3	75.8
46	73.1	71.8	74.3	74.4	73.2	75.6
45	72.9	71.6	74.1	74.3	73.1	75.5
44	72.7	71.4	74	74.1	72.9	75.4
43	72.5	71.2	73.8	74	72.8	75.3
42	72.3	71	73.7	73.9	72.7	75.2
41	72.2	70.9	73.5	73.8	72.6	75.1
40	72	70.7	73.3	73.7	72.5	75
39	71.9	70.5	73.2	73.6	72.4	74.9
38	71.7	70.4	73.1	73.5	72.3	74.8
37	71.6	70.2	72.9	73.4	72.2	74.7
36	71.4	70.1	72.8	73.3	72.1	74.7
35	71.3	69.9	72.7	73.2	72	74.6
34	71.2	69.8	72.5	73.2	71.9	74.5
33	71	69.6	72.4	73.1	71.8	74.4
32	70.9	69.5	72.3	73	71.7	74.3
31	70.8	69.4	72.2	72.9	71.7	74.3
30	70.7	69.3	72.1	72.8	71.6	74.2
29	70.6	69.1	72	72.8	71.5	74.1
28	70.5	69	71.9	72.7	71.4	74
27	70.3	68.9	71.8	72.6	71.3	74
26	70.2	68.8	71.7	72.5	71.3	73.9
25	70.1	68.7	71.6	72.5	71.2	73.8
24	70.1	68.6	71.5	72.4	71.1	73.8
23	70	68.5	71.5	72.3	71	73.7
22	69.9	68.4	71.4	72.2	70.9	73.6
21	69.8	68.3	71.3	72.1	70.8	73.6
20	69.7	68.2	71.2	72.1	70.7	73.5
19	69.6	68.1	71.2	72	70.6	73.4
18	69.6	68	71.1	71.9	70.6	73.4
17	69.5	68	71.1	71.9	70.5	73.3
16	69.4	67.9	71	71.8	70.4	73.3
15	69.4	67.8	71	71.8	70.4	73.3
14	69.3	67.8	70.9	71.7	70.3	73.2
13	69.3	67.8	70.9	71.7	70.3	73.2
12	69.3	67.7	70.8	71.6	70.2	73.1
11	69.2	67.7	70.8	71.6	70.2	73.1
10	69.2	67.6	70.8	71.6	70.2	73.1
9	69.2	67.6	70.7	71.5	70.1	73.1
8	69.1	67.5	70.7	71.5	70.1	73
7	69.1	67.5	70.6	71.4	70	73
6	69	67.4	70.6	71.4	70	72.9
5	68.9	67.4	70.5	71.3	69.9	72.9
4	68.8	67.3	70.4	71.2	69.8	72.8
3	68.7	67.2	70.3	71.1	69.7	72.7
2	68.5	67	70.1	70.9	69.5	72.5
1	68.2	66.7	69.8	70.7	69.3	72.3
0	66.4	64.7	68.2	68.3	66.7	70.1

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 72.8 in East Timor, rising to 78.3 and 78.6 at 65, and to 85.9 and 85.7 at 80 — higher than the 66.4 and 68.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Congo

Male

Female

East Timor

Male

Female

1x

Age	Survival probability
	Congo			East Timor
	Average	Male	Female	Average	Male	Female
100	0.12%	0.11%	0.13%	0.09%	0.05%	0.13%
99	0.19%	0.17%	0.22%	0.15%	0.09%	0.22%
98	0.3%	0.26%	0.35%	0.25%	0.15%	0.35%
97	0.46%	0.39%	0.54%	0.4%	0.25%	0.56%
96	0.69%	0.57%	0.82%	0.62%	0.41%	0.85%
95	1.01%	0.81%	1.2%	0.93%	0.63%	1.26%
94	1.43%	1.14%	1.72%	1.37%	0.95%	1.83%
93	1.98%	1.57%	2.4%	1.96%	1.39%	2.59%
92	2.68%	2.12%	3.27%	2.73%	1.98%	3.56%
91	3.55%	2.8%	4.34%	3.72%	2.76%	4.78%
90	4.63%	3.64%	5.65%	4.95%	3.74%	6.28%
89	5.9%	4.65%	7.2%	6.44%	4.96%	8.05%
88	7.39%	5.84%	9%	8.2%	6.42%	10.1%
87	9.11%	7.23%	11.1%	10.2%	8.15%	12.5%
86	11%	8.81%	13.3%	12.5%	10.1%	15.1%
85	13.2%	10.6%	15.9%	15.1%	12.3%	18%
84	15.5%	12.6%	18.6%	17.9%	14.8%	21.2%
83	18.1%	14.8%	21.5%	20.8%	17.4%	24.5%
82	20.7%	17.1%	24.5%	24%	20.2%	27.9%
81	23.5%	19.6%	27.5%	27.2%	23.2%	31.4%
80	26.4%	22.2%	30.7%	30.5%	26.2%	35%
79	29.3%	24.9%	33.8%	33.8%	29.3%	38.5%
78	32.3%	27.7%	37%	37%	32.5%	42%
77	35.3%	30.5%	40.1%	40.3%	35.6%	45.4%
76	38.2%	33.4%	43.2%	43.5%	38.7%	48.6%
75	41.2%	36.3%	46.2%	46.6%	41.8%	51.8%
74	44%	39.1%	49%	49.6%	44.9%	54.8%
73	46.8%	41.9%	51.8%	52.5%	47.8%	57.6%
72	49.5%	44.7%	54.4%	55.3%	50.7%	60.3%
71	52.1%	47.3%	56.9%	57.9%	53.4%	62.9%
70	54.5%	49.9%	59.3%	60.4%	56.1%	65.2%
69	56.9%	52.4%	61.5%	62.8%	58.6%	67.4%
68	59.1%	54.8%	63.5%	65%	61%	69.5%
67	61.2%	57%	65.5%	67.1%	63.2%	71.4%
66	63.2%	59.1%	67.3%	69%	65.4%	73.1%
65	65.1%	61.2%	69%	70.9%	67.4%	74.7%
64	66.9%	63.1%	70.6%	72.6%	69.3%	76.2%
63	68.5%	65%	72.1%	74.2%	71.1%	77.6%
62	70.1%	66.8%	73.6%	75.7%	72.7%	78.9%
61	71.6%	68.4%	74.9%	77%	74.3%	80%
60	73.1%	70%	76.1%	78.3%	75.8%	81.1%
59	74.4%	71.5%	77.3%	79.5%	77.1%	82.1%
58	75.6%	72.9%	78.4%	80.6%	78.4%	83%
57	76.8%	74.3%	79.4%	81.6%	79.6%	83.9%
56	77.9%	75.5%	80.4%	82.6%	80.7%	84.7%
55	79%	76.7%	81.3%	83.5%	81.7%	85.4%
54	80%	77.9%	82.2%	84.3%	82.6%	86.1%
53	81%	79%	83%	85%	83.5%	86.7%
52	81.9%	80%	83.8%	85.7%	84.2%	87.3%
51	82.8%	81%	84.6%	86.4%	85%	87.9%
50	83.6%	81.9%	85.3%	87%	85.6%	88.4%
49	84.3%	82.8%	86%	87.5%	86.3%	88.9%
48	85.1%	83.6%	86.6%	88%	86.8%	89.3%
47	85.7%	84.3%	87.2%	88.5%	87.3%	89.7%
46	86.4%	85%	87.8%	88.9%	87.8%	90.1%
45	87%	85.7%	88.3%	89.3%	88.3%	90.5%
44	87.6%	86.3%	88.8%	89.7%	88.7%	90.8%
43	88.1%	86.9%	89.3%	90.1%	89.1%	91.1%
42	88.6%	87.5%	89.7%	90.4%	89.4%	91.4%
41	89.1%	88%	90.2%	90.7%	89.7%	91.7%
40	89.5%	88.5%	90.6%	91%	90%	91.9%
39	90%	89%	91%	91.2%	90.3%	92.2%
38	90.4%	89.5%	91.4%	91.5%	90.6%	92.4%
37	90.8%	89.9%	91.7%	91.7%	90.8%	92.6%
36	91.1%	90.3%	92%	91.9%	91%	92.8%
35	91.5%	90.6%	92.4%	92.1%	91.3%	93%
34	91.8%	91%	92.6%	92.3%	91.5%	93.2%
33	92.1%	91.3%	92.9%	92.5%	91.7%	93.4%
32	92.4%	91.7%	93.2%	92.7%	91.9%	93.6%
31	92.7%	92%	93.4%	92.9%	92%	93.7%
30	93%	92.2%	93.7%	93%	92.2%	93.9%
29	93.2%	92.5%	93.9%	93.2%	92.4%	94%
28	93.4%	92.8%	94.1%	93.4%	92.6%	94.2%
27	93.7%	93%	94.3%	93.5%	92.8%	94.3%
26	93.9%	93.3%	94.5%	93.7%	92.9%	94.5%
25	94.1%	93.5%	94.7%	93.8%	93.1%	94.6%
24	94.3%	93.7%	94.9%	94%	93.3%	94.7%
23	94.5%	94%	95%	94.1%	93.5%	94.9%
22	94.7%	94.2%	95.2%	94.3%	93.6%	95%
21	94.8%	94.4%	95.3%	94.4%	93.8%	95.1%
20	95%	94.5%	95.4%	94.6%	94%	95.2%
19	95.1%	94.7%	95.6%	94.7%	94.1%	95.3%
18	95.3%	94.9%	95.7%	94.8%	94.2%	95.4%
17	95.4%	95%	95.8%	94.9%	94.4%	95.5%
16	95.5%	95.1%	95.9%	95%	94.5%	95.6%
15	95.6%	95.2%	95.9%	95.1%	94.6%	95.6%
14	95.7%	95.3%	96%	95.2%	94.7%	95.7%
13	95.7%	95.4%	96.1%	95.2%	94.7%	95.8%
12	95.8%	95.4%	96.1%	95.3%	94.8%	95.8%
11	95.8%	95.5%	96.2%	95.3%	94.9%	95.9%
10	95.9%	95.6%	96.2%	95.4%	94.9%	95.9%
9	96%	95.6%	96.3%	95.5%	95%	96%
8	96%	95.7%	96.4%	95.5%	95.1%	96%
7	96.1%	95.8%	96.4%	95.6%	95.1%	96.1%
6	96.2%	95.9%	96.5%	95.7%	95.2%	96.1%
5	96.3%	96%	96.6%	95.8%	95.3%	96.2%
4	96.4%	96.1%	96.8%	95.9%	95.5%	96.4%
3	96.6%	96.3%	96.9%	96.1%	95.7%	96.5%
2	96.9%	96.6%	97.2%	96.3%	95.9%	96.7%
1	97.3%	97%	97.7%	96.6%	96.2%	97%

This chart shows the odds of living to each age from birth. 73.1% of newborns in the Congo and 78.3% in East Timor are expected to live past 60, 54.5% and 60.4% past 70, 26.4% and 30.5% past 80, and only 4.63% and 4.95% 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

East Timor

Male

Female

1x

Age	Probability of dying
	Congo			East Timor
	Average	Male	Female	Average	Male	Female
100	39.6%	37.4%	41.1%	42.8%	44.7%	41.9%
99	38%	36.1%	39.4%	41%	42.9%	40.1%
98	36.2%	34.3%	37.4%	39.2%	41.1%	38.3%
97	34.6%	33.1%	35.6%	37.4%	39.2%	36.4%
96	33%	31.7%	33.8%	35.6%	37.4%	34.6%
95	31.3%	30.3%	32%	33.8%	35.5%	32.8%
94	29.6%	28.8%	30.1%	32%	33.6%	31%
93	27.9%	27.3%	28.2%	30.2%	31.8%	29.2%
92	26.2%	25.8%	26.5%	28.4%	29.9%	27.4%
91	24.5%	24.3%	24.7%	26.6%	28.1%	25.6%
90	23.2%	23.1%	23.2%	24.8%	26.3%	23.8%
89	21.6%	21.6%	21.5%	23.1%	24.5%	22.1%
88	20.2%	20.4%	20%	21.5%	22.8%	20.4%
87	18.8%	19.2%	18.6%	19.9%	21.1%	18.9%
86	17.6%	18%	17.2%	18.4%	19.5%	17.5%
85	16.3%	16.9%	15.9%	16.9%	18%	16.1%
84	15.1%	15.8%	14.6%	15.6%	16.5%	14.8%
83	13.9%	14.7%	13.4%	14.3%	15.1%	13.6%
82	12.9%	13.7%	12.3%	13%	13.9%	12.4%
81	11.8%	12.6%	11.2%	11.9%	12.7%	11.2%
80	11%	11.8%	10.3%	10.8%	11.6%	10.2%
79	9.99%	10.9%	9.34%	9.77%	10.6%	9.15%
78	9.21%	10.1%	8.55%	8.86%	9.69%	8.25%
77	8.41%	9.26%	7.75%	8.04%	8.86%	7.43%
76	7.74%	8.57%	7.08%	7.32%	8.1%	6.71%
75	7.11%	7.91%	6.46%	6.66%	7.4%	6.06%
74	6.5%	7.28%	5.86%	6.07%	6.76%	5.48%
73	5.94%	6.7%	5.32%	5.53%	6.17%	4.96%
72	5.43%	6.16%	4.84%	5.03%	5.63%	4.47%
71	4.91%	5.6%	4.34%	4.57%	5.14%	4.03%
70	4.54%	5.18%	3.99%	4.15%	4.69%	3.63%
69	4.1%	4.7%	3.58%	3.77%	4.29%	3.26%
68	3.76%	4.32%	3.27%	3.42%	3.92%	2.94%
67	3.44%	3.95%	2.97%	3.1%	3.58%	2.65%
66	3.14%	3.62%	2.7%	2.82%	3.27%	2.39%
65	2.9%	3.34%	2.49%	2.57%	3%	2.16%
64	2.67%	3.09%	2.28%	2.35%	2.74%	1.96%
63	2.46%	2.86%	2.09%	2.15%	2.51%	1.77%
62	2.28%	2.65%	1.93%	1.96%	2.3%	1.61%
61	2.08%	2.43%	1.76%	1.79%	2.11%	1.46%
60	1.95%	2.28%	1.65%	1.64%	1.93%	1.33%
59	1.78%	2.08%	1.5%	1.5%	1.77%	1.21%
58	1.66%	1.93%	1.4%	1.37%	1.62%	1.11%
57	1.54%	1.79%	1.3%	1.26%	1.48%	1.02%
56	1.44%	1.68%	1.22%	1.15%	1.35%	0.94%
55	1.35%	1.57%	1.14%	1.06%	1.23%	0.86%
54	1.27%	1.47%	1.07%	0.97%	1.12%	0.8%
53	1.19%	1.37%	1.01%	0.89%	1.02%	0.74%
52	1.12%	1.29%	0.95%	0.81%	0.93%	0.68%
51	1.04%	1.19%	0.88%	0.75%	0.85%	0.63%
50	0.98%	1.12%	0.84%	0.69%	0.78%	0.58%
49	0.91%	1.04%	0.78%	0.63%	0.71%	0.54%
48	0.85%	0.97%	0.73%	0.58%	0.65%	0.5%
47	0.79%	0.9%	0.68%	0.53%	0.6%	0.46%
46	0.74%	0.84%	0.64%	0.49%	0.55%	0.43%
45	0.7%	0.79%	0.61%	0.45%	0.5%	0.39%
44	0.65%	0.73%	0.57%	0.41%	0.46%	0.37%
43	0.61%	0.69%	0.54%	0.38%	0.42%	0.34%
42	0.58%	0.65%	0.51%	0.35%	0.39%	0.32%
41	0.54%	0.6%	0.48%	0.33%	0.36%	0.3%
40	0.52%	0.57%	0.46%	0.31%	0.33%	0.28%
39	0.48%	0.53%	0.43%	0.29%	0.31%	0.26%
38	0.45%	0.5%	0.41%	0.27%	0.29%	0.25%
37	0.43%	0.47%	0.38%	0.25%	0.27%	0.23%
36	0.4%	0.44%	0.36%	0.24%	0.26%	0.22%
35	0.38%	0.42%	0.34%	0.23%	0.24%	0.21%
34	0.36%	0.39%	0.32%	0.22%	0.23%	0.2%
33	0.33%	0.37%	0.3%	0.21%	0.22%	0.19%
32	0.32%	0.35%	0.29%	0.2%	0.21%	0.18%
31	0.3%	0.33%	0.27%	0.19%	0.2%	0.18%
30	0.28%	0.31%	0.26%	0.18%	0.2%	0.17%
29	0.27%	0.3%	0.24%	0.18%	0.19%	0.16%
28	0.26%	0.28%	0.23%	0.17%	0.19%	0.16%
27	0.24%	0.27%	0.21%	0.17%	0.19%	0.15%
26	0.23%	0.26%	0.2%	0.17%	0.19%	0.15%
25	0.22%	0.25%	0.19%	0.17%	0.19%	0.14%
24	0.21%	0.24%	0.18%	0.16%	0.19%	0.14%
23	0.2%	0.23%	0.17%	0.16%	0.19%	0.13%
22	0.19%	0.22%	0.16%	0.16%	0.19%	0.13%
21	0.18%	0.21%	0.15%	0.15%	0.18%	0.12%
20	0.17%	0.19%	0.14%	0.14%	0.17%	0.12%
19	0.15%	0.18%	0.13%	0.13%	0.16%	0.11%
18	0.14%	0.16%	0.12%	0.12%	0.15%	0.1%
17	0.12%	0.14%	0.1%	0.11%	0.13%	0.09%
16	0.11%	0.12%	0.09%	0.1%	0.11%	0.08%
15	0.09%	0.1%	0.08%	0.09%	0.1%	0.07%
14	0.08%	0.09%	0.07%	0.08%	0.09%	0.06%
13	0.07%	0.08%	0.07%	0.07%	0.08%	0.06%
12	0.07%	0.07%	0.06%	0.06%	0.07%	0.05%
11	0.06%	0.07%	0.06%	0.06%	0.07%	0.05%
10	0.06%	0.07%	0.06%	0.06%	0.07%	0.05%
9	0.07%	0.07%	0.06%	0.06%	0.07%	0.05%
8	0.07%	0.08%	0.07%	0.07%	0.08%	0.06%
7	0.08%	0.09%	0.07%	0.07%	0.09%	0.06%
6	0.09%	0.1%	0.09%	0.09%	0.1%	0.08%
5	0.11%	0.11%	0.1%	0.11%	0.12%	0.1%
4	0.14%	0.15%	0.14%	0.14%	0.15%	0.12%
3	0.19%	0.2%	0.19%	0.18%	0.19%	0.17%
2	0.28%	0.28%	0.28%	0.24%	0.25%	0.22%
1	0.44%	0.44%	0.45%	0.31%	0.32%	0.31%
0	2.67%	2.99%	2.35%	3.39%	3.78%	2.97%

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

The annual chance of dying is 2.67% in the birth year in the Congo and 3.39% in East Timor, 0.28% vs 0.18% at age 30, 1.95% vs 1.64% at 60, and 11% vs 10.8% at 80.

Death rate by age in Congo vs East Timor

Chart Table

Congo

Male

Female

East Timor

Male

Female

1x

Age	Death rate
	Congo			East Timor
	Total	Male	Female	Total	Male	Female
100	0	2.72	0	0	0	0
99	73.5	61.5	86.1	61.8	39	87.4
98	109.4	89.1	130.4	97.3	63.4	135.2
97	160.2	128.3	193.1	148.3	99.6	202.6
96	227.9	180.2	277	219.3	151.6	294.2
95	315	246.7	385	314	223.2	415
94	422	329	518	437	319	567
93	552	429	678	591	441	754
92	704	547	865	775	593	974
91	872	679	1,070	990	775	1,222
90	1,072	841	1,311	1,230	984	1,493
89	1,273	1,006	1,549	1,489	1,217	1,778
88	1,492	1,193	1,802	1,760	1,466	2,070
87	1,715	1,387	2,053	2,034	1,723	2,360
86	1,939	1,590	2,297	2,301	1,977	2,639
85	2,150	1,791	2,515	2,553	2,220	2,899
84	2,351	1,991	2,715	2,780	2,442	3,129
83	2,519	2,170	2,871	2,972	2,637	3,316
82	2,671	2,343	3,001	3,121	2,803	3,452
81	2,773	2,477	3,069	3,224	2,937	3,530
80	2,898	2,633	3,165	3,282	3,038	3,553
79	2,932	2,706	3,161	3,299	3,108	3,527
78	2,977	2,793	3,163	3,282	3,146	3,463
77	2,969	2,829	3,109	3,240	3,155	3,372
76	2,960	2,862	3,058	3,180	3,138	3,263
75	2,926	2,871	2,980	3,104	3,095	3,139
74	2,861	2,849	2,875	3,011	3,032	3,003
73	2,778	2,808	2,754	2,903	2,951	2,856
72	2,690	2,752	2,634	2,781	2,855	2,699
71	2,558	2,649	2,472	2,648	2,747	2,535
70	2,476	2,586	2,367	2,509	2,632	2,368
69	2,334	2,463	2,201	2,366	2,511	2,201
68	2,223	2,365	2,075	2,223	2,387	2,041
67	2,103	2,254	1,942	2,083	2,263	1,889
66	1,986	2,143	1,819	1,950	2,139	1,746
65	1,886	2,046	1,717	1,824	2,018	1,614
64	1,784	1,953	1,609	1,705	1,900	1,491
63	1,689	1,862	1,510	1,592	1,785	1,377
62	1,598	1,773	1,420	1,484	1,675	1,270
61	1,493	1,666	1,319	1,382	1,568	1,171
60	1,426	1,596	1,254	1,285	1,465	1,080
59	1,327	1,491	1,163	1,194	1,366	997
58	1,255	1,411	1,098	1,108	1,270	921
57	1,182	1,332	1,032	1,027	1,177	853
56	1,123	1,266	980	951	1,089	792
55	1,067	1,204	927	881	1,005	737
54	1,014	1,144	881	815	927	686
53	962	1,084	836	755	854	640
52	915	1,030	797	698	787	596
51	857	966	747	645	725	555
50	820	921	716	596	668	516
49	765	859	669	550	616	479
48	721	807	631	508	567	445
47	676	757	593	469	522	413
46	638	712	561	433	481	383
45	605	673	534	400	442	356
44	569	631	505	370	407	332
43	539	596	481	343	375	310
42	513	565	459	319	347	289.8
41	482	529	434	297	321	272.2
40	461	506	416	277.7	298.5	256.3
39	434	474	393	260.5	278.6	242
38	411	448	373	245.2	261.2	229
37	387	422	352	231.6	246	217.1
36	367	399	334	219.4	232.7	206.2
35	347	377	316	208.5	221	196.1
34	326	355	296.8	198.8	210.7	186.9
33	308	336	280.5	190	201.5	178.6
32	292.4	319	265.8	182.2	193.3	171.2
31	275.1	301	249.1	175.4	186.3	164.5
30	264.4	288.9	239.4	169.5	180.5	158.5
29	250.5	274.3	226.3	164.8	176.2	153
28	238.5	262.8	213.9	161	173.6	148.1
27	227.6	252.1	202.6	158.3	172.7	143.4
26	216.8	242.3	190.8	156.3	173.3	139
25	206.9	234.1	179.3	155	174.7	134.7
24	197.6	225.7	169	153.7	176.2	130.4
23	188.3	217.3	158.7	151.8	176.7	126
22	178.5	207.8	148.7	148.8	175.2	121.3
21	168	196.6	138.8	143.9	170.7	116.1
20	158	184.2	131.3	137	162.8	110.2
19	146.1	170.3	121.4	127.8	151.5	103.2
18	133.5	155.1	111.4	116.8	137.5	95.3
17	117.2	133.7	100.4	104.7	122.1	86.7
16	101.9	113.8	89.7	92.5	106.7	77.8
15	88	96.3	79.6	81.3	92.6	69.4
14	76.3	82.8	69.7	71.6	80.9	61.9
13	68.1	73.3	62.8	64.2	72.1	55.9
12	63	68	58	59	66.1	51.5
11	60.8	65.6	55.9	56.2	63.1	48.9
10	61	65.2	56.6	55.7	62.9	48.3
9	63.5	67.8	59.1	57.8	65.7	49.8
8	68.7	73.3	64	62.9	71.6	53.8
7	76.9	81.7	72	71.5	81.4	61.3
6	87.5	91.9	82.9	84.9	96	73.4
5	104	107.7	100.1	104.6	116.8	91.9
4	135.6	139.5	131.7	132.9	145.7	119.4
3	186.3	189.4	183.1	172.5	184.8	159.4
2	269.7	269.8	269.5	227.1	237.1	216.5
1	433	425	441	301	306	296.6
0	2,669	2,985	2,347	3,388	3,779	2,971

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 0 in East Timor. The median age of death is 71.8 in the Congo and 73.9 in East Timor, 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 East Timor more than their death rates.

Life expectancy in other countries

+ -

1x