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

Life expectancy by current age

Chart Table

Belgium

Male

Female

East Timor

Male

Female

1x

Current age, years	Total life expectancy, years
	Belgium			East Timor
	Average	Male	Female	Average	Male	Female
100	102	101.9	102	101.7	101.7	101.8
99	101.2	101.1	101.2	100.8	100.7	100.9
98	100.3	100.2	100.4	99.9	99.8	100
97	99.5	99.4	99.6	99	98.9	99.1
96	98.7	98.5	98.8	98.1	98	98.2
95	98	97.7	98	97.2	97.1	97.3
94	97.2	97	97.3	96.4	96.2	96.4
93	96.5	96.2	96.6	95.5	95.4	95.6
92	95.8	95.5	96	94.6	94.5	94.7
91	95.1	94.8	95.3	93.8	93.7	93.9
90	94.5	94.1	94.7	93	92.8	93.1
89	93.9	93.4	94.1	92.2	92	92.3
88	93.3	92.8	93.6	91.4	91.2	91.5
87	92.8	92.2	93.1	90.6	90.4	90.8
86	92.2	91.7	92.6	89.9	89.7	90
85	91.8	91.1	92.2	89.1	88.9	89.3
84	91.3	90.6	91.7	88.4	88.2	88.6
83	90.9	90.1	91.4	87.7	87.5	87.9
82	90.5	89.7	91	87	86.8	87.2
81	90.1	89.2	90.7	86.4	86.1	86.6
80	89.7	88.8	90.4	85.7	85.5	86
79	89.4	88.4	90.1	85.1	84.8	85.4
78	89.1	88.1	89.8	84.5	84.2	84.8
77	88.8	87.7	89.6	84	83.6	84.3
76	88.5	87.4	89.3	83.4	83	83.7
75	88.2	87	89.1	82.9	82.5	83.2
74	87.9	86.7	88.9	82.4	81.9	82.8
73	87.6	86.4	88.7	81.9	81.4	82.3
72	87.4	86.1	88.5	81.4	80.9	81.9
71	87.1	85.8	88.3	81	80.4	81.4
70	86.9	85.5	88.1	80.5	80	81.1
69	86.7	85.3	87.9	80.1	79.5	80.7
68	86.5	85	87.8	79.7	79.1	80.3
67	86.3	84.8	87.6	79.3	78.7	80
66	86.1	84.5	87.5	79	78.3	79.7
65	85.9	84.3	87.3	78.6	77.9	79.3
64	85.7	84.1	87.2	78.3	77.5	79.1
63	85.5	83.9	87	78	77.2	78.8
62	85.3	83.7	86.9	77.7	76.8	78.5
61	85.2	83.5	86.7	77.4	76.5	78.3
60	85	83.3	86.6	77.1	76.2	78
59	84.9	83.2	86.5	76.8	75.9	77.8
58	84.8	83	86.4	76.6	75.6	77.6
57	84.6	82.9	86.3	76.4	75.4	77.4
56	84.5	82.7	86.2	76.1	75.1	77.2
55	84.4	82.6	86.1	75.9	74.9	77
54	84.3	82.5	86	75.7	74.6	76.8
53	84.2	82.4	86	75.5	74.4	76.7
52	84.1	82.3	85.9	75.3	74.2	76.5
51	84.1	82.2	85.8	75.1	74	76.3
50	84	82.1	85.8	75	73.8	76.2
49	83.9	82	85.7	74.8	73.7	76
48	83.8	82	85.7	74.7	73.5	75.9
47	83.8	81.9	85.6	74.5	73.3	75.8
46	83.7	81.8	85.6	74.4	73.2	75.6
45	83.7	81.8	85.5	74.3	73.1	75.5
44	83.6	81.7	85.5	74.1	72.9	75.4
43	83.6	81.6	85.4	74	72.8	75.3
42	83.5	81.6	85.4	73.9	72.7	75.2
41	83.5	81.5	85.4	73.8	72.6	75.1
40	83.5	81.5	85.3	73.7	72.5	75
39	83.4	81.5	85.3	73.6	72.4	74.9
38	83.4	81.4	85.3	73.5	72.3	74.8
37	83.4	81.4	85.3	73.4	72.2	74.7
36	83.3	81.3	85.2	73.3	72.1	74.7
35	83.3	81.3	85.2	73.2	72	74.6
34	83.3	81.3	85.2	73.2	71.9	74.5
33	83.2	81.2	85.2	73.1	71.8	74.4
32	83.2	81.2	85.2	73	71.7	74.3
31	83.2	81.2	85.2	72.9	71.7	74.3
30	83.2	81.1	85.1	72.8	71.6	74.2
29	83.1	81.1	85.1	72.8	71.5	74.1
28	83.1	81.1	85.1	72.7	71.4	74
27	83.1	81.1	85.1	72.6	71.3	74
26	83.1	81	85.1	72.5	71.3	73.9
25	83.1	81	85.1	72.5	71.2	73.8
24	83	81	85.1	72.4	71.1	73.8
23	83	80.9	85.1	72.3	71	73.7
22	83	80.9	85	72.2	70.9	73.6
21	83	80.9	85	72.1	70.8	73.6
20	83	80.9	85	72.1	70.7	73.5
19	82.9	80.8	85	72	70.6	73.4
18	82.9	80.8	85	71.9	70.6	73.4
17	82.9	80.8	85	71.9	70.5	73.3
16	82.9	80.8	85	71.8	70.4	73.3
15	82.9	80.8	85	71.8	70.4	73.3
14	82.9	80.8	85	71.7	70.3	73.2
13	82.9	80.8	85	71.7	70.3	73.2
12	82.9	80.8	85	71.6	70.2	73.1
11	82.9	80.8	85	71.6	70.2	73.1
10	82.9	80.8	85	71.6	70.2	73.1
9	82.9	80.8	85	71.5	70.1	73.1
8	82.9	80.8	84.9	71.5	70.1	73
7	82.9	80.8	84.9	71.4	70	73
6	82.9	80.7	84.9	71.4	70	72.9
5	82.9	80.7	84.9	71.3	69.9	72.9
4	82.8	80.7	84.9	71.2	69.8	72.8
3	82.8	80.7	84.9	71.1	69.7	72.7
2	82.8	80.7	84.9	70.9	69.5	72.5
1	82.8	80.7	84.9	70.7	69.3	72.3
0	82.6	80.5	84.7	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 Belgium can expect to live to 83.2 years compared to 72.8 in East Timor, rising to 85.9 and 78.6 at 65, and to 89.7 and 85.7 at 80 — higher than the 82.6 and 68.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Belgium

Male

Female

East Timor

Male

Female

1x

Age	Survival probability
	Belgium			East Timor
	Average	Male	Female	Average	Male	Female
100	2.23%	1.26%	3.07%	0.09%	0.05%	0.13%
99	3.37%	1.97%	4.6%	0.15%	0.09%	0.22%
98	4.9%	2.96%	6.62%	0.25%	0.15%	0.35%
97	6.87%	4.29%	9.17%	0.4%	0.25%	0.56%
96	9.32%	6.01%	12.3%	0.62%	0.41%	0.85%
95	12.2%	8.16%	16%	0.93%	0.63%	1.26%
94	15.6%	10.7%	20.1%	1.37%	0.95%	1.83%
93	19.3%	13.7%	24.5%	1.96%	1.39%	2.59%
92	23.4%	17.1%	29.2%	2.73%	1.98%	3.56%
91	27.7%	20.8%	34.1%	3.72%	2.76%	4.78%
90	32.1%	24.7%	39.1%	4.95%	3.74%	6.28%
89	36.5%	28.8%	44%	6.44%	4.96%	8.05%
88	40.9%	32.9%	48.7%	8.2%	6.42%	10.1%
87	45.2%	37.1%	53.1%	10.2%	8.15%	12.5%
86	49.3%	41.2%	57.2%	12.5%	10.1%	15.1%
85	53.1%	45.1%	61%	15.1%	12.3%	18%
84	56.7%	48.8%	64.5%	17.9%	14.8%	21.2%
83	60%	52.3%	67.6%	20.8%	17.4%	24.5%
82	63%	55.7%	70.4%	24%	20.2%	27.9%
81	65.8%	58.8%	72.9%	27.2%	23.2%	31.4%
80	68.4%	61.7%	75.2%	30.5%	26.2%	35%
79	70.8%	64.4%	77.2%	33.8%	29.3%	38.5%
78	72.9%	66.9%	79%	37%	32.5%	42%
77	74.9%	69.3%	80.7%	40.3%	35.6%	45.4%
76	76.8%	71.5%	82.2%	43.5%	38.7%	48.6%
75	78.5%	73.6%	83.5%	46.6%	41.8%	51.8%
74	80.1%	75.5%	84.8%	49.6%	44.9%	54.8%
73	81.6%	77.4%	86%	52.5%	47.8%	57.6%
72	83%	79%	87.1%	55.3%	50.7%	60.3%
71	84.3%	80.6%	88%	57.9%	53.4%	62.9%
70	85.4%	82%	88.9%	60.4%	56.1%	65.2%
69	86.5%	83.4%	89.8%	62.8%	58.6%	67.4%
68	87.6%	84.7%	90.5%	65%	61%	69.5%
67	88.5%	85.9%	91.2%	67.1%	63.2%	71.4%
66	89.4%	87%	91.9%	69%	65.4%	73.1%
65	90.3%	88.1%	92.6%	70.9%	67.4%	74.7%
64	91.1%	89.1%	93.2%	72.6%	69.3%	76.2%
63	91.8%	90%	93.8%	74.2%	71.1%	77.6%
62	92.5%	90.8%	94.3%	75.7%	72.7%	78.9%
61	93.2%	91.6%	94.8%	77%	74.3%	80%
60	93.7%	92.3%	95.2%	78.3%	75.8%	81.1%
59	94.3%	92.9%	95.6%	79.5%	77.1%	82.1%
58	94.7%	93.5%	96%	80.6%	78.4%	83%
57	95.2%	94.1%	96.3%	81.6%	79.6%	83.9%
56	95.6%	94.5%	96.6%	82.6%	80.7%	84.7%
55	95.9%	94.9%	96.9%	83.5%	81.7%	85.4%
54	96.2%	95.3%	97.1%	84.3%	82.6%	86.1%
53	96.5%	95.7%	97.4%	85%	83.5%	86.7%
52	96.8%	96%	97.6%	85.7%	84.2%	87.3%
51	97%	96.3%	97.8%	86.4%	85%	87.9%
50	97.2%	96.5%	97.9%	87%	85.6%	88.4%
49	97.4%	96.8%	98.1%	87.5%	86.3%	88.9%
48	97.6%	97%	98.2%	88%	86.8%	89.3%
47	97.8%	97.2%	98.4%	88.5%	87.3%	89.7%
46	97.9%	97.4%	98.5%	88.9%	87.8%	90.1%
45	98.1%	97.5%	98.6%	89.3%	88.3%	90.5%
44	98.2%	97.7%	98.7%	89.7%	88.7%	90.8%
43	98.3%	97.8%	98.8%	90.1%	89.1%	91.1%
42	98.4%	98%	98.9%	90.4%	89.4%	91.4%
41	98.5%	98.1%	98.9%	90.7%	89.7%	91.7%
40	98.6%	98.2%	99%	91%	90%	91.9%
39	98.7%	98.3%	99%	91.2%	90.3%	92.2%
38	98.7%	98.4%	99.1%	91.5%	90.6%	92.4%
37	98.8%	98.5%	99.1%	91.7%	90.8%	92.6%
36	98.9%	98.6%	99.2%	91.9%	91%	92.8%
35	98.9%	98.6%	99.2%	92.1%	91.3%	93%
34	99%	98.7%	99.3%	92.3%	91.5%	93.2%
33	99%	98.8%	99.3%	92.5%	91.7%	93.4%
32	99.1%	98.8%	99.3%	92.7%	91.9%	93.6%
31	99.1%	98.9%	99.4%	92.9%	92%	93.7%
30	99.2%	99%	99.4%	93%	92.2%	93.9%
29	99.2%	99%	99.4%	93.2%	92.4%	94%
28	99.3%	99.1%	99.4%	93.4%	92.6%	94.2%
27	99.3%	99.1%	99.5%	93.5%	92.8%	94.3%
26	99.3%	99.2%	99.5%	93.7%	92.9%	94.5%
25	99.4%	99.2%	99.5%	93.8%	93.1%	94.6%
24	99.4%	99.3%	99.5%	94%	93.3%	94.7%
23	99.4%	99.3%	99.5%	94.1%	93.5%	94.9%
22	99.5%	99.4%	99.6%	94.3%	93.6%	95%
21	99.5%	99.4%	99.6%	94.4%	93.8%	95.1%
20	99.5%	99.5%	99.6%	94.6%	94%	95.2%
19	99.6%	99.5%	99.6%	94.7%	94.1%	95.3%
18	99.6%	99.5%	99.6%	94.8%	94.2%	95.4%
17	99.6%	99.5%	99.6%	94.9%	94.4%	95.5%
16	99.6%	99.6%	99.7%	95%	94.5%	95.6%
15	99.6%	99.6%	99.7%	95.1%	94.6%	95.6%
14	99.6%	99.6%	99.7%	95.2%	94.7%	95.7%
13	99.6%	99.6%	99.7%	95.2%	94.7%	95.8%
12	99.6%	99.6%	99.7%	95.3%	94.8%	95.8%
11	99.6%	99.6%	99.7%	95.3%	94.9%	95.9%
10	99.6%	99.6%	99.7%	95.4%	94.9%	95.9%
9	99.7%	99.6%	99.7%	95.5%	95%	96%
8	99.7%	99.6%	99.7%	95.5%	95.1%	96%
7	99.7%	99.6%	99.7%	95.6%	95.1%	96.1%
6	99.7%	99.6%	99.7%	95.7%	95.2%	96.1%
5	99.7%	99.6%	99.7%	95.8%	95.3%	96.2%
4	99.7%	99.7%	99.7%	95.9%	95.5%	96.4%
3	99.7%	99.7%	99.7%	96.1%	95.7%	96.5%
2	99.7%	99.7%	99.7%	96.3%	95.9%	96.7%
1	99.7%	99.7%	99.8%	96.6%	96.2%	97%

This chart shows the odds of living to each age from birth. 93.7% of newborns in Belgium and 78.3% in East Timor are expected to live past 60, 85.4% and 60.4% past 70, 68.4% and 30.5% past 80, and only 32.1% 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

Belgium

Male

Female

East Timor

Male

Female

1x

Age	Probability of dying
	Belgium			East Timor
	Average	Male	Female	Average	Male	Female
100	36.2%	38.3%	35.7%	42.8%	44.7%	41.9%
99	33.8%	35.9%	33.2%	41%	42.9%	40.1%
98	31.2%	33.5%	30.5%	39.2%	41.1%	38.3%
97	28.6%	31%	27.8%	37.4%	39.2%	36.4%
96	26.2%	28.7%	25.4%	35.6%	37.4%	34.6%
95	23.9%	26.4%	23%	33.8%	35.5%	32.8%
94	21.5%	24.1%	20.5%	32%	33.6%	31%
93	19.3%	21.8%	18.2%	30.2%	31.8%	29.2%
92	17.3%	19.7%	16.1%	28.4%	29.9%	27.4%
91	15.4%	17.7%	14.3%	26.6%	28.1%	25.6%
90	13.8%	15.8%	12.7%	24.8%	26.3%	23.8%
89	12.2%	14.1%	11.1%	23.1%	24.5%	22.1%
88	10.8%	12.6%	9.67%	21.5%	22.8%	20.4%
87	9.45%	11.2%	8.34%	19.9%	21.1%	18.9%
86	8.27%	9.93%	7.21%	18.4%	19.5%	17.5%
85	7.22%	8.7%	6.22%	16.9%	18%	16.1%
84	6.3%	7.62%	5.37%	15.6%	16.5%	14.8%
83	5.5%	6.73%	4.6%	14.3%	15.1%	13.6%
82	4.83%	5.99%	3.97%	13%	13.9%	12.4%
81	4.25%	5.3%	3.44%	11.9%	12.7%	11.2%
80	3.75%	4.7%	3%	10.8%	11.6%	10.2%
79	3.34%	4.2%	2.63%	9.77%	10.6%	9.15%
78	2.98%	3.78%	2.31%	8.86%	9.69%	8.25%
77	2.68%	3.44%	2.04%	8.04%	8.86%	7.43%
76	2.42%	3.11%	1.82%	7.32%	8.1%	6.71%
75	2.19%	2.81%	1.65%	6.66%	7.4%	6.06%
74	2.01%	2.57%	1.51%	6.07%	6.76%	5.48%
73	1.84%	2.36%	1.37%	5.53%	6.17%	4.96%
72	1.65%	2.12%	1.23%	5.03%	5.63%	4.47%
71	1.49%	1.91%	1.11%	4.57%	5.14%	4.03%
70	1.37%	1.76%	1.01%	4.15%	4.69%	3.63%
69	1.28%	1.65%	0.93%	3.77%	4.29%	3.26%
68	1.18%	1.53%	0.84%	3.42%	3.92%	2.94%
67	1.09%	1.41%	0.78%	3.1%	3.58%	2.65%
66	1.02%	1.3%	0.74%	2.82%	3.27%	2.39%
65	0.95%	1.2%	0.7%	2.57%	3%	2.16%
64	0.87%	1.09%	0.65%	2.35%	2.74%	1.96%
63	0.82%	1.02%	0.62%	2.15%	2.51%	1.77%
62	0.76%	0.94%	0.58%	1.96%	2.3%	1.61%
61	0.68%	0.85%	0.51%	1.79%	2.11%	1.46%
60	0.61%	0.76%	0.45%	1.64%	1.93%	1.33%
59	0.55%	0.69%	0.41%	1.5%	1.77%	1.21%
58	0.5%	0.62%	0.38%	1.37%	1.62%	1.11%
57	0.45%	0.56%	0.34%	1.26%	1.48%	1.02%
56	0.4%	0.5%	0.31%	1.15%	1.35%	0.94%
55	0.36%	0.44%	0.28%	1.06%	1.23%	0.86%
54	0.33%	0.4%	0.26%	0.97%	1.12%	0.8%
53	0.3%	0.36%	0.24%	0.89%	1.02%	0.74%
52	0.27%	0.33%	0.21%	0.81%	0.93%	0.68%
51	0.24%	0.3%	0.19%	0.75%	0.85%	0.63%
50	0.22%	0.27%	0.18%	0.69%	0.78%	0.58%
49	0.21%	0.24%	0.17%	0.63%	0.71%	0.54%
48	0.19%	0.22%	0.15%	0.58%	0.65%	0.5%
47	0.17%	0.2%	0.13%	0.53%	0.6%	0.46%
46	0.16%	0.19%	0.12%	0.49%	0.55%	0.43%
45	0.14%	0.18%	0.11%	0.45%	0.5%	0.39%
44	0.13%	0.17%	0.1%	0.41%	0.46%	0.37%
43	0.12%	0.15%	0.08%	0.38%	0.42%	0.34%
42	0.1%	0.13%	0.08%	0.35%	0.39%	0.32%
41	0.09%	0.11%	0.07%	0.33%	0.36%	0.3%
40	0.09%	0.11%	0.07%	0.31%	0.33%	0.28%
39	0.08%	0.1%	0.06%	0.29%	0.31%	0.26%
38	0.07%	0.1%	0.05%	0.27%	0.29%	0.25%
37	0.07%	0.09%	0.05%	0.25%	0.27%	0.23%
36	0.07%	0.09%	0.05%	0.24%	0.26%	0.22%
35	0.06%	0.08%	0.04%	0.23%	0.24%	0.21%
34	0.05%	0.07%	0.04%	0.22%	0.23%	0.2%
33	0.05%	0.07%	0.04%	0.21%	0.22%	0.19%
32	0.05%	0.07%	0.04%	0.2%	0.21%	0.18%
31	0.05%	0.07%	0.03%	0.19%	0.2%	0.18%
30	0.05%	0.06%	0.03%	0.18%	0.2%	0.17%
29	0.04%	0.06%	0.03%	0.18%	0.19%	0.16%
28	0.04%	0.05%	0.02%	0.17%	0.19%	0.16%
27	0.04%	0.05%	0.02%	0.17%	0.19%	0.15%
26	0.04%	0.05%	0.02%	0.17%	0.19%	0.15%
25	0.03%	0.05%	0.02%	0.17%	0.19%	0.14%
24	0.03%	0.05%	0.02%	0.16%	0.19%	0.14%
23	0.03%	0.05%	0.02%	0.16%	0.19%	0.13%
22	0.03%	0.05%	0.02%	0.16%	0.19%	0.13%
21	0.03%	0.04%	0.02%	0.15%	0.18%	0.12%
20	0.03%	0.04%	0.01%	0.14%	0.17%	0.12%
19	0.03%	0.04%	0.02%	0.13%	0.16%	0.11%
18	0.02%	0.03%	0.02%	0.12%	0.15%	0.1%
17	0.02%	0.02%	0.01%	0.11%	0.13%	0.09%
16	0.01%	0.02%	0.01%	0.1%	0.11%	0.08%
15	0.01%	0.01%	0.008%	0.09%	0.1%	0.07%
14	0.008%	0.009%	0.007%	0.08%	0.09%	0.06%
13	0.008%	0.009%	0.007%	0.07%	0.08%	0.06%
12	0.007%	0.008%	0.006%	0.06%	0.07%	0.05%
11	0.006%	0.007%	0.004%	0.06%	0.07%	0.05%
10	0.005%	0.006%	0.004%	0.06%	0.07%	0.05%
9	0.005%	0.006%	0.005%	0.06%	0.07%	0.05%
8	0.006%	0.006%	0.005%	0.07%	0.08%	0.06%
7	0.006%	0.007%	0.005%	0.07%	0.09%	0.06%
6	0.006%	0.007%	0.006%	0.09%	0.1%	0.08%
5	0.007%	0.007%	0.006%	0.11%	0.12%	0.1%
4	0.007%	0.007%	0.007%	0.14%	0.15%	0.12%
3	0.008%	0.007%	0.008%	0.18%	0.19%	0.17%
2	0.01%	0.009%	0.01%	0.24%	0.25%	0.22%
1	0.03%	0.03%	0.03%	0.31%	0.32%	0.31%
0	0.27%	0.3%	0.24%	3.39%	3.78%	2.97%

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

The annual chance of dying is 0.27% in the birth year in Belgium and 3.39% in East Timor, 0.05% vs 0.18% at age 30, 0.61% vs 1.64% at 60, and 3.75% vs 10.8% at 80.

Death rate by age in Belgium vs East Timor

Chart Table

Belgium

Male

Female

East Timor

Male

Female

1x

Age	Death rate
	Belgium			East Timor
	Total	Male	Female	Total	Male	Female
100	655	292.8	965	0	0	0
99	1,141	706	1,527	61.8	39	87.4
98	1,531	990	2,020	97.3	63.4	135.2
97	1,966	1,329	2,552	148.3	99.6	202.6
96	2,444	1,722	3,118	219.3	151.6	294.2
95	2,929	2,152	3,664	314	223.2	415
94	3,362	2,587	4,112	437	319	567
93	3,732	3,002	4,457	591	441	754
92	4,044	3,372	4,721	775	593	974
91	4,272	3,672	4,889	990	775	1,222
90	4,411	3,902	4,948	1,230	984	1,493
89	4,461	4,064	4,888	1,489	1,217	1,778
88	4,413	4,158	4,705	1,760	1,466	2,070
87	4,271	4,165	4,431	2,034	1,723	2,360
86	4,078	4,088	4,126	2,301	1,977	2,639
85	3,835	3,921	3,798	2,553	2,220	2,899
84	3,571	3,721	3,460	2,780	2,442	3,129
83	3,302	3,524	3,112	2,972	2,637	3,316
82	3,048	3,332	2,793	3,121	2,803	3,452
81	2,797	3,116	2,508	3,224	2,937	3,530
80	2,565	2,897	2,255	3,282	3,038	3,553
79	2,360	2,702	2,034	3,299	3,108	3,527
78	2,172	2,530	1,829	3,282	3,146	3,463
77	2,008	2,382	1,643	3,240	3,155	3,372
76	1,856	2,228	1,491	3,180	3,138	3,263
75	1,719	2,064	1,380	3,104	3,095	3,139
74	1,611	1,944	1,281	3,011	3,032	3,003
73	1,503	1,827	1,179	2,903	2,951	2,856
72	1,373	1,676	1,071	2,781	2,855	2,699
71	1,257	1,539	977	2,648	2,747	2,535
70	1,172	1,445	901	2,509	2,632	2,368
69	1,104	1,373	833	2,366	2,511	2,201
68	1,030	1,292	763	2,223	2,387	2,041
67	962	1,211	709	2,083	2,263	1,889
66	909	1,135	679	1,950	2,139	1,746
65	855	1,056	650	1,824	2,018	1,614
64	794	973	610	1,705	1,900	1,491
63	750	913	581	1,592	1,785	1,377
62	703	856	545	1,484	1,675	1,270
61	636	781	485	1,382	1,568	1,171
60	568	703	428	1,285	1,465	1,080
59	518	638	391	1,194	1,366	997
58	474	581	362	1,108	1,270	921
57	429	524	330	1,027	1,177	853
56	385	470	297.1	951	1,089	792
55	346	420	269.9	881	1,005	737
54	315	378	250.7	815	927	686
53	290.1	343	234.7	755	854	640
52	261.3	313	207.8	698	787	596
51	235.4	285	184.2	645	725	555
50	217.3	259.8	173.6	596	668	516
49	200.6	236.9	163.6	550	616	479
48	181.3	216.7	145.3	508	567	445
47	164.2	198.7	128.9	469	522	413
46	152.3	183.2	121	433	481	383
45	142.1	171.7	112.4	400	442	356
44	129.9	162.9	96.6	370	407	332
43	115.1	147.6	82.5	343	375	310
42	100	124.5	75.5	319	347	289.8
41	91.5	111.6	71.4	297	321	272.2
40	85.2	105.5	64.8	277.7	298.5	256.3
39	78.2	101.4	54.9	260.5	278.6	242
38	73	97.8	48.2	245.2	261.2	229
37	70	92.5	47.4	231.6	246	217.1
36	66.3	85.3	47.1	219.4	232.7	206.2
35	59.2	76	42.4	208.5	221	196.1
34	53.4	69.1	37.6	198.8	210.7	186.9
33	51.8	67.1	36.3	190	201.5	178.6
32	51.5	68	34.8	182.2	193.3	171.2
31	49.6	68.1	30.8	175.4	186.3	164.5
30	45.3	62.2	28.1	169.5	180.5	158.5
29	41.1	56	26	164.8	176.2	153
28	38.7	53.7	23.3	161	173.6	148.1
27	37.1	52.6	21	158.3	172.7	143.4
26	35.3	50.2	19.8	156.3	173.3	139
25	34	48.1	19.3	155	174.7	134.7
24	34	48.3	19	153.7	176.2	130.4
23	33.9	48.2	18.8	151.8	176.7	126
22	32.4	45.8	18.3	148.8	175.2	121.3
21	30.5	43.8	16.6	143.9	170.7	116.1
20	29.1	43.2	14.3	137	162.8	110.2
19	26.9	37.6	15.7	127.8	151.5	103.2
18	23.3	29.1	17.3	116.8	137.5	95.3
17	17.7	21	14.2	104.7	122.1	86.7
16	12.6	15	10.2	92.5	106.7	77.8
15	9.59	11.1	7.96	81.3	92.6	69.4
14	8.04	9.11	6.93	71.6	80.9	61.9
13	7.59	8.55	6.59	64.2	72.1	55.9
12	6.98	8.17	5.73	59	66.1	51.5
11	5.84	7.34	4.26	56.2	63.1	48.9
10	5.06	6.35	3.72	55.7	62.9	48.3
9	5.27	5.77	4.74	57.8	65.7	49.8
8	5.65	5.97	5.32	62.9	71.6	53.8
7	5.95	6.55	5.32	71.5	81.4	61.3
6	6.34	7.06	5.59	84.9	96	73.4
5	6.7	7.17	6.21	104.6	116.8	91.9
4	7.03	6.97	7.09	132.9	145.7	119.4
3	7.56	7.14	7.99	172.5	184.8	159.4
2	9.57	9.38	9.76	227.1	237.1	216.5
1	27.7	28.9	26.5	301	306	296.6
0	270	303	235.6	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 Belgium, the most common age of death is 89, compared to 0 in East Timor. The median age of death is 85.8 in Belgium 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 Belgium and East Timor more than their death rates.

Life expectancy in other countries

+ -

1x