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

Life expectancy by current age

Chart Table

Chile

Male

Female

East Timor

Male

Female

1x

Current age, years	Total life expectancy, years
	Chile			East Timor
	Average	Male	Female	Average	Male	Female
100	103	102.7	103.1	101.7	101.7	101.8
99	102.1	101.9	102.2	100.8	100.7	100.9
98	101.4	101.1	101.4	99.9	99.8	100
97	100.6	100.4	100.7	99	98.9	99.1
96	99.8	99.6	99.9	98.1	98	98.2
95	99.1	98.8	99.2	97.2	97.1	97.3
94	98.4	98.1	98.5	96.4	96.2	96.4
93	97.6	97.4	97.8	95.5	95.4	95.6
92	97	96.7	97.1	94.6	94.5	94.7
91	96.3	96	96.5	93.8	93.7	93.9
90	95.6	95.3	95.8	93	92.8	93.1
89	95	94.7	95.2	92.2	92	92.3
88	94.4	94	94.6	91.4	91.2	91.5
87	93.8	93.4	94.1	90.6	90.4	90.8
86	93.2	92.8	93.5	89.9	89.7	90
85	92.7	92.3	93	89.1	88.9	89.3
84	92.2	91.7	92.6	88.4	88.2	88.6
83	91.7	91.2	92.1	87.7	87.5	87.9
82	91.3	90.7	91.7	87	86.8	87.2
81	90.8	90.2	91.3	86.4	86.1	86.6
80	90.4	89.8	90.9	85.7	85.5	86
79	90	89.3	90.5	85.1	84.8	85.4
78	89.6	88.9	90.1	84.5	84.2	84.8
77	89.2	88.5	89.8	84	83.6	84.3
76	88.8	88.1	89.5	83.4	83	83.7
75	88.5	87.7	89.1	82.9	82.5	83.2
74	88.1	87.3	88.8	82.4	81.9	82.8
73	87.8	86.9	88.6	81.9	81.4	82.3
72	87.5	86.6	88.3	81.4	80.9	81.9
71	87.2	86.3	88	81	80.4	81.4
70	87	86	87.8	80.5	80	81.1
69	86.7	85.7	87.6	80.1	79.5	80.7
68	86.5	85.4	87.4	79.7	79.1	80.3
67	86.3	85.2	87.2	79.3	78.7	80
66	86	85	87	79	78.3	79.7
65	85.9	84.7	86.9	78.6	77.9	79.3
64	85.7	84.5	86.7	78.3	77.5	79.1
63	85.5	84.3	86.5	78	77.2	78.8
62	85.3	84.1	86.4	77.7	76.8	78.5
61	85.2	83.9	86.3	77.4	76.5	78.3
60	85	83.8	86.1	77.1	76.2	78
59	84.8	83.6	86	76.8	75.9	77.8
58	84.7	83.4	85.9	76.6	75.6	77.6
57	84.6	83.3	85.8	76.4	75.4	77.4
56	84.4	83.1	85.7	76.1	75.1	77.2
55	84.3	83	85.6	75.9	74.9	77
54	84.2	82.8	85.5	75.7	74.6	76.8
53	84.1	82.7	85.4	75.5	74.4	76.7
52	84	82.6	85.3	75.3	74.2	76.5
51	83.9	82.5	85.2	75.1	74	76.3
50	83.8	82.4	85.1	75	73.8	76.2
49	83.7	82.3	85.1	74.8	73.7	76
48	83.6	82.2	85	74.7	73.5	75.9
47	83.6	82.1	85	74.5	73.3	75.8
46	83.5	82	84.9	74.4	73.2	75.6
45	83.4	81.9	84.9	74.3	73.1	75.5
44	83.4	81.8	84.8	74.1	72.9	75.4
43	83.3	81.8	84.8	74	72.8	75.3
42	83.2	81.7	84.7	73.9	72.7	75.2
41	83.2	81.6	84.7	73.8	72.6	75.1
40	83.1	81.6	84.6	73.7	72.5	75
39	83.1	81.5	84.6	73.6	72.4	74.9
38	83	81.5	84.6	73.5	72.3	74.8
37	83	81.4	84.5	73.4	72.2	74.7
36	83	81.4	84.5	73.3	72.1	74.7
35	82.9	81.3	84.5	73.2	72	74.6
34	82.9	81.3	84.5	73.2	71.9	74.5
33	82.8	81.2	84.4	73.1	71.8	74.4
32	82.8	81.2	84.4	73	71.7	74.3
31	82.8	81.1	84.4	72.9	71.7	74.3
30	82.7	81.1	84.4	72.8	71.6	74.2
29	82.7	81	84.3	72.8	71.5	74.1
28	82.7	81	84.3	72.7	71.4	74
27	82.6	80.9	84.3	72.6	71.3	74
26	82.6	80.9	84.3	72.5	71.3	73.9
25	82.6	80.8	84.3	72.5	71.2	73.8
24	82.5	80.8	84.3	72.4	71.1	73.8
23	82.5	80.7	84.2	72.3	71	73.7
22	82.5	80.7	84.2	72.2	70.9	73.6
21	82.4	80.6	84.2	72.1	70.8	73.6
20	82.4	80.6	84.2	72.1	70.7	73.5
19	82.4	80.6	84.2	72	70.6	73.4
18	82.4	80.5	84.1	71.9	70.6	73.4
17	82.3	80.5	84.1	71.9	70.5	73.3
16	82.3	80.5	84.1	71.8	70.4	73.3
15	82.3	80.5	84.1	71.8	70.4	73.3
14	82.3	80.4	84.1	71.7	70.3	73.2
13	82.3	80.4	84.1	71.7	70.3	73.2
12	82.3	80.4	84.1	71.6	70.2	73.1
11	82.3	80.4	84.1	71.6	70.2	73.1
10	82.2	80.4	84	71.6	70.2	73.1
9	82.2	80.4	84	71.5	70.1	73.1
8	82.2	80.4	84	71.5	70.1	73
7	82.2	80.4	84	71.4	70	73
6	82.2	80.4	84	71.4	70	72.9
5	82.2	80.4	84	71.3	69.9	72.9
4	82.2	80.4	84	71.2	69.8	72.8
3	82.2	80.3	84	71.1	69.7	72.7
2	82.2	80.3	84	70.9	69.5	72.5
1	82.1	80.3	83.9	70.7	69.3	72.3
0	81.7	79.9	83.5	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 Chile can expect to live to 82.7 years compared to 72.8 in East Timor, rising to 85.9 and 78.6 at 65, and to 90.4 and 85.7 at 80 — higher than the 81.7 and 68.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Chile

Male

Female

East Timor

Male

Female

1x

Age	Survival probability
	Chile			East Timor
	Average	Male	Female	Average	Male	Female
100	4.94%	3.63%	6.12%	0.09%	0.05%	0.13%
99	6.46%	4.82%	7.94%	0.15%	0.09%	0.22%
98	8.26%	6.26%	10.1%	0.25%	0.15%	0.35%
97	10.4%	7.96%	12.5%	0.4%	0.25%	0.56%
96	12.7%	9.93%	15.3%	0.62%	0.41%	0.85%
95	15.4%	12.2%	18.3%	0.93%	0.63%	1.26%
94	18.3%	14.6%	21.6%	1.37%	0.95%	1.83%
93	21.3%	17.4%	25.1%	1.96%	1.39%	2.59%
92	24.6%	20.3%	28.7%	2.73%	1.98%	3.56%
91	28.1%	23.4%	32.5%	3.72%	2.76%	4.78%
90	31.6%	26.7%	36.3%	4.95%	3.74%	6.28%
89	35.2%	30.1%	40.2%	6.44%	4.96%	8.05%
88	38.9%	33.5%	44%	8.2%	6.42%	10.1%
87	42.5%	37%	47.8%	10.2%	8.15%	12.5%
86	46.1%	40.5%	51.4%	12.5%	10.1%	15.1%
85	49.5%	43.9%	54.9%	15.1%	12.3%	18%
84	52.7%	47.2%	58.2%	17.9%	14.8%	21.2%
83	55.9%	50.3%	61.3%	20.8%	17.4%	24.5%
82	58.8%	53.4%	64.1%	24%	20.2%	27.9%
81	61.6%	56.3%	66.8%	27.2%	23.2%	31.4%
80	64.2%	59.1%	69.3%	30.5%	26.2%	35%
79	66.8%	61.8%	71.7%	33.8%	29.3%	38.5%
78	69.2%	64.4%	73.9%	37%	32.5%	42%
77	71.4%	66.8%	76%	40.3%	35.6%	45.4%
76	73.6%	69.2%	77.9%	43.5%	38.7%	48.6%
75	75.6%	71.4%	79.7%	46.6%	41.8%	51.8%
74	77.5%	73.5%	81.4%	49.6%	44.9%	54.8%
73	79.2%	75.5%	83%	52.5%	47.8%	57.6%
72	80.8%	77.3%	84.4%	55.3%	50.7%	60.3%
71	82.3%	79%	85.6%	57.9%	53.4%	62.9%
70	83.6%	80.5%	86.8%	60.4%	56.1%	65.2%
69	84.8%	81.9%	87.8%	62.8%	58.6%	67.4%
68	85.9%	83.2%	88.8%	65%	61%	69.5%
67	86.9%	84.3%	89.6%	67.1%	63.2%	71.4%
66	87.9%	85.4%	90.4%	69%	65.4%	73.1%
65	88.7%	86.3%	91.1%	70.9%	67.4%	74.7%
64	89.5%	87.3%	91.7%	72.6%	69.3%	76.2%
63	90.2%	88.1%	92.3%	74.2%	71.1%	77.6%
62	90.9%	88.9%	92.9%	75.7%	72.7%	78.9%
61	91.5%	89.6%	93.4%	77%	74.3%	80%
60	92.1%	90.3%	93.9%	78.3%	75.8%	81.1%
59	92.6%	91%	94.3%	79.5%	77.1%	82.1%
58	93.1%	91.6%	94.8%	80.6%	78.4%	83%
57	93.6%	92.1%	95.1%	81.6%	79.6%	83.9%
56	94.1%	92.7%	95.5%	82.6%	80.7%	84.7%
55	94.5%	93.1%	95.8%	83.5%	81.7%	85.4%
54	94.8%	93.6%	96.1%	84.3%	82.6%	86.1%
53	95.2%	94%	96.4%	85%	83.5%	86.7%
52	95.5%	94.4%	96.6%	85.7%	84.2%	87.3%
51	95.8%	94.7%	96.8%	86.4%	85%	87.9%
50	96%	95.1%	97%	87%	85.6%	88.4%
49	96.3%	95.4%	97.2%	87.5%	86.3%	88.9%
48	96.5%	95.6%	97.4%	88%	86.8%	89.3%
47	96.7%	95.9%	97.5%	88.5%	87.3%	89.7%
46	96.9%	96.1%	97.7%	88.9%	87.8%	90.1%
45	97%	96.3%	97.8%	89.3%	88.3%	90.5%
44	97.2%	96.5%	97.9%	89.7%	88.7%	90.8%
43	97.3%	96.7%	98%	90.1%	89.1%	91.1%
42	97.5%	96.8%	98.1%	90.4%	89.4%	91.4%
41	97.6%	97%	98.2%	90.7%	89.7%	91.7%
40	97.7%	97.1%	98.3%	91%	90%	91.9%
39	97.8%	97.3%	98.4%	91.2%	90.3%	92.2%
38	97.9%	97.4%	98.4%	91.5%	90.6%	92.4%
37	98%	97.5%	98.5%	91.7%	90.8%	92.6%
36	98.1%	97.6%	98.6%	91.9%	91%	92.8%
35	98.2%	97.7%	98.6%	92.1%	91.3%	93%
34	98.2%	97.8%	98.7%	92.3%	91.5%	93.2%
33	98.3%	97.9%	98.7%	92.5%	91.7%	93.4%
32	98.4%	98%	98.8%	92.7%	91.9%	93.6%
31	98.5%	98.1%	98.8%	92.9%	92%	93.7%
30	98.5%	98.2%	98.8%	93%	92.2%	93.9%
29	98.6%	98.3%	98.9%	93.2%	92.4%	94%
28	98.7%	98.4%	98.9%	93.4%	92.6%	94.2%
27	98.7%	98.5%	99%	93.5%	92.8%	94.3%
26	98.8%	98.6%	99%	93.7%	92.9%	94.5%
25	98.8%	98.7%	99%	93.8%	93.1%	94.6%
24	98.9%	98.7%	99%	94%	93.3%	94.7%
23	98.9%	98.8%	99.1%	94.1%	93.5%	94.9%
22	99%	98.9%	99.1%	94.3%	93.6%	95%
21	99%	99%	99.1%	94.4%	93.8%	95.1%
20	99.1%	99%	99.2%	94.6%	94%	95.2%
19	99.1%	99.1%	99.2%	94.7%	94.1%	95.3%
18	99.2%	99.2%	99.2%	94.8%	94.2%	95.4%
17	99.2%	99.2%	99.2%	94.9%	94.4%	95.5%
16	99.3%	99.2%	99.3%	95%	94.5%	95.6%
15	99.3%	99.3%	99.3%	95.1%	94.6%	95.6%
14	99.3%	99.3%	99.3%	95.2%	94.7%	95.7%
13	99.3%	99.3%	99.3%	95.2%	94.7%	95.8%
12	99.3%	99.3%	99.3%	95.3%	94.8%	95.8%
11	99.3%	99.3%	99.3%	95.3%	94.9%	95.9%
10	99.3%	99.3%	99.4%	95.4%	94.9%	95.9%
9	99.4%	99.3%	99.4%	95.5%	95%	96%
8	99.4%	99.4%	99.4%	95.5%	95.1%	96%
7	99.4%	99.4%	99.4%	95.6%	95.1%	96.1%
6	99.4%	99.4%	99.4%	95.7%	95.2%	96.1%
5	99.4%	99.4%	99.4%	95.8%	95.3%	96.2%
4	99.4%	99.4%	99.4%	95.9%	95.5%	96.4%
3	99.4%	99.4%	99.4%	96.1%	95.7%	96.5%
2	99.5%	99.4%	99.5%	96.3%	95.9%	96.7%
1	99.5%	99.5%	99.5%	96.6%	96.2%	97%

This chart shows the odds of living to each age from birth. 92.1% of newborns in Chile and 78.3% in East Timor are expected to live past 60, 83.6% and 60.4% past 70, 64.2% and 30.5% past 80, and only 31.6% 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

Chile

Male

Female

East Timor

Male

Female

1x

Age	Probability of dying
	Chile			East Timor
	Average	Male	Female	Average	Male	Female
100	25%	26.2%	24.5%	42.8%	44.7%	41.9%
99	23.5%	24.7%	23%	41%	42.9%	40.1%
98	21.8%	23%	21.2%	39.2%	41.1%	38.3%
97	20.2%	21.4%	19.6%	37.4%	39.2%	36.4%
96	18.7%	19.8%	18%	35.6%	37.4%	34.6%
95	17.2%	18.4%	16.6%	33.8%	35.5%	32.8%
94	15.8%	17%	15.2%	32%	33.6%	31%
93	14.5%	15.6%	13.8%	30.2%	31.8%	29.2%
92	13.3%	14.4%	12.6%	28.4%	29.9%	27.4%
91	12.2%	13.3%	11.6%	26.6%	28.1%	25.6%
90	11.2%	12.3%	10.6%	24.8%	26.3%	23.8%
89	10.3%	11.3%	9.63%	23.1%	24.5%	22.1%
88	9.39%	10.3%	8.75%	21.5%	22.8%	20.4%
87	8.53%	9.43%	7.9%	19.9%	21.1%	18.9%
86	7.7%	8.56%	7.08%	18.4%	19.5%	17.5%
85	6.92%	7.74%	6.32%	16.9%	18%	16.1%
84	6.2%	6.98%	5.62%	15.6%	16.5%	14.8%
83	5.57%	6.3%	5.01%	14.3%	15.1%	13.6%
82	5.01%	5.7%	4.47%	13%	13.9%	12.4%
81	4.53%	5.19%	4.02%	11.9%	12.7%	11.2%
80	4.12%	4.74%	3.63%	10.8%	11.6%	10.2%
79	3.77%	4.35%	3.3%	9.77%	10.6%	9.15%
78	3.46%	4.01%	3%	8.86%	9.69%	8.25%
77	3.18%	3.69%	2.74%	8.04%	8.86%	7.43%
76	2.92%	3.41%	2.5%	7.32%	8.1%	6.71%
75	2.67%	3.13%	2.27%	6.66%	7.4%	6.06%
74	2.44%	2.87%	2.06%	6.07%	6.76%	5.48%
73	2.21%	2.61%	1.86%	5.53%	6.17%	4.96%
72	1.99%	2.36%	1.66%	5.03%	5.63%	4.47%
71	1.78%	2.11%	1.49%	4.57%	5.14%	4.03%
70	1.59%	1.89%	1.32%	4.15%	4.69%	3.63%
69	1.42%	1.69%	1.18%	3.77%	4.29%	3.26%
68	1.27%	1.51%	1.05%	3.42%	3.92%	2.94%
67	1.15%	1.36%	0.95%	3.1%	3.58%	2.65%
66	1.04%	1.24%	0.86%	2.82%	3.27%	2.39%
65	0.95%	1.13%	0.78%	2.57%	3%	2.16%
64	0.87%	1.04%	0.71%	2.35%	2.74%	1.96%
63	0.81%	0.97%	0.65%	2.15%	2.51%	1.77%
62	0.74%	0.89%	0.6%	1.96%	2.3%	1.61%
61	0.69%	0.83%	0.56%	1.79%	2.11%	1.46%
60	0.64%	0.77%	0.51%	1.64%	1.93%	1.33%
59	0.59%	0.71%	0.47%	1.5%	1.77%	1.21%
58	0.54%	0.66%	0.43%	1.37%	1.62%	1.11%
57	0.5%	0.61%	0.4%	1.26%	1.48%	1.02%
56	0.46%	0.56%	0.37%	1.15%	1.35%	0.94%
55	0.43%	0.52%	0.33%	1.06%	1.23%	0.86%
54	0.39%	0.48%	0.31%	0.97%	1.12%	0.8%
53	0.36%	0.44%	0.28%	0.89%	1.02%	0.74%
52	0.33%	0.41%	0.25%	0.81%	0.93%	0.68%
51	0.3%	0.37%	0.23%	0.75%	0.85%	0.63%
50	0.27%	0.33%	0.21%	0.69%	0.78%	0.58%
49	0.25%	0.3%	0.19%	0.63%	0.71%	0.54%
48	0.22%	0.27%	0.17%	0.58%	0.65%	0.5%
47	0.2%	0.25%	0.16%	0.53%	0.6%	0.46%
46	0.19%	0.23%	0.14%	0.49%	0.55%	0.43%
45	0.17%	0.21%	0.13%	0.45%	0.5%	0.39%
44	0.16%	0.2%	0.12%	0.41%	0.46%	0.37%
43	0.15%	0.18%	0.11%	0.38%	0.42%	0.34%
42	0.14%	0.17%	0.1%	0.35%	0.39%	0.32%
41	0.13%	0.16%	0.09%	0.33%	0.36%	0.3%
40	0.12%	0.15%	0.08%	0.31%	0.33%	0.28%
39	0.11%	0.14%	0.08%	0.29%	0.31%	0.26%
38	0.1%	0.13%	0.07%	0.27%	0.29%	0.25%
37	0.09%	0.12%	0.06%	0.25%	0.27%	0.23%
36	0.09%	0.12%	0.06%	0.24%	0.26%	0.22%
35	0.08%	0.11%	0.05%	0.23%	0.24%	0.21%
34	0.08%	0.11%	0.05%	0.22%	0.23%	0.2%
33	0.08%	0.1%	0.05%	0.21%	0.22%	0.19%
32	0.07%	0.1%	0.04%	0.2%	0.21%	0.18%
31	0.07%	0.1%	0.04%	0.19%	0.2%	0.18%
30	0.07%	0.1%	0.04%	0.18%	0.2%	0.17%
29	0.07%	0.1%	0.04%	0.18%	0.19%	0.16%
28	0.06%	0.09%	0.04%	0.17%	0.19%	0.16%
27	0.06%	0.09%	0.03%	0.17%	0.19%	0.15%
26	0.06%	0.09%	0.03%	0.17%	0.19%	0.15%
25	0.06%	0.08%	0.03%	0.17%	0.19%	0.14%
24	0.05%	0.08%	0.03%	0.16%	0.19%	0.14%
23	0.05%	0.08%	0.03%	0.16%	0.19%	0.13%
22	0.05%	0.07%	0.03%	0.16%	0.19%	0.13%
21	0.05%	0.07%	0.03%	0.15%	0.18%	0.12%
20	0.05%	0.07%	0.03%	0.14%	0.17%	0.12%
19	0.05%	0.07%	0.03%	0.13%	0.16%	0.11%
18	0.04%	0.06%	0.03%	0.12%	0.15%	0.1%
17	0.04%	0.05%	0.02%	0.11%	0.13%	0.09%
16	0.03%	0.04%	0.02%	0.1%	0.11%	0.08%
15	0.02%	0.03%	0.02%	0.09%	0.1%	0.07%
14	0.02%	0.02%	0.02%	0.08%	0.09%	0.06%
13	0.02%	0.02%	0.02%	0.07%	0.08%	0.06%
12	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
11	0.01%	0.01%	0.01%	0.06%	0.07%	0.05%
10	0.01%	0.009%	0.01%	0.06%	0.07%	0.05%
9	0.01%	0.009%	0.01%	0.06%	0.07%	0.05%
8	0.01%	0.009%	0.01%	0.07%	0.08%	0.06%
7	0.01%	0.01%	0.01%	0.07%	0.09%	0.06%
6	0.01%	0.01%	0.01%	0.09%	0.1%	0.08%
5	0.01%	0.01%	0.01%	0.11%	0.12%	0.1%
4	0.02%	0.02%	0.02%	0.14%	0.15%	0.12%
3	0.02%	0.02%	0.02%	0.18%	0.19%	0.17%
2	0.02%	0.02%	0.02%	0.24%	0.25%	0.22%
1	0.03%	0.03%	0.03%	0.31%	0.32%	0.31%
0	0.52%	0.53%	0.51%	3.39%	3.78%	2.97%

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

The annual chance of dying is 0.52% in the birth year in Chile and 3.39% in East Timor, 0.07% vs 0.18% at age 30, 0.64% vs 1.64% at 60, and 4.12% vs 10.8% at 80.

Death rate by age in Chile vs East Timor

Chart Table

Chile

Male

Female

East Timor

Male

Female

1x

Age	Death rate
	Chile			East Timor
	Total	Male	Female	Total	Male	Female
100	1,240	922	1,530	0	0	0
99	1,518	1,189	1,823	61.8	39	87.4
98	1,803	1,440	2,142	97.3	63.4	135.2
97	2,091	1,703	2,459	148.3	99.6	202.6
96	2,375	1,970	2,761	219.3	151.6	294.2
95	2,642	2,232	3,037	314	223.2	415
94	2,884	2,484	3,276	437	319	567
93	3,095	2,715	3,472	591	441	754
92	3,278	2,926	3,631	775	593	974
91	3,431	3,113	3,754	990	775	1,222
90	3,548	3,269	3,835	1,230	984	1,493
89	3,624	3,389	3,870	1,489	1,217	1,778
88	3,652	3,465	3,852	1,760	1,466	2,070
87	3,624	3,490	3,774	2,034	1,723	2,360
86	3,544	3,464	3,642	2,301	1,977	2,639
85	3,421	3,394	3,469	2,553	2,220	2,899
84	3,272	3,293	3,272	2,780	2,442	3,129
83	3,110	3,172	3,067	2,972	2,637	3,316
82	2,949	3,045	2,869	3,121	2,803	3,452
81	2,793	2,919	2,685	3,224	2,937	3,530
80	2,648	2,799	2,517	3,282	3,038	3,553
79	2,517	2,687	2,363	3,299	3,108	3,527
78	2,393	2,578	2,219	3,282	3,146	3,463
77	2,270	2,470	2,081	3,240	3,155	3,372
76	2,147	2,357	1,946	3,180	3,138	3,263
75	2,020	2,237	1,810	3,104	3,095	3,139
74	1,889	2,110	1,675	3,011	3,032	3,003
73	1,752	1,971	1,539	2,903	2,951	2,856
72	1,610	1,823	1,404	2,781	2,855	2,699
71	1,469	1,670	1,273	2,648	2,747	2,535
70	1,332	1,520	1,148	2,509	2,632	2,368
69	1,206	1,381	1,036	2,366	2,511	2,201
68	1,094	1,256	935	2,223	2,387	2,041
67	997	1,148	848	2,083	2,263	1,889
66	913	1,056	773	1,950	2,139	1,746
65	842	978	709	1,824	2,018	1,614
64	781	911	654	1,705	1,900	1,491
63	727	850	605	1,592	1,785	1,377
62	677	795	560	1,484	1,675	1,270
61	630	742	519	1,382	1,568	1,171
60	586	692	481	1,285	1,465	1,080
59	545	645	445	1,194	1,366	997
58	507	601	411	1,108	1,270	921
57	470	560	379	1,027	1,177	853
56	436	522	349	951	1,089	792
55	404	486	320	881	1,005	737
54	373	451	293.2	815	927	686
53	343	417	267.7	755	854	640
52	314	382	243.8	698	787	596
51	286.1	349	221.6	645	725	555
50	260.1	317	201.4	596	668	516
49	236.4	288.3	183.1	550	616	479
48	215.3	262.5	166.8	508	567	445
47	197	240.4	152.4	469	522	413
46	181.2	221.5	139.6	433	481	383
45	167.4	205.5	128.2	400	442	356
44	155.1	191.4	117.8	370	407	332
43	144	178.8	108.1	343	375	310
42	133.6	167.2	99	319	347	289.8
41	123.9	156.3	90.5	297	321	272.2
40	114.8	146.2	82.6	277.7	298.5	256.3
39	106.5	136.7	75.3	260.5	278.6	242
38	98.9	128.1	68.8	245.2	261.2	229
37	92.3	120.5	63.1	231.6	246	217.1
36	86.5	113.9	58.2	219.4	232.7	206.2
35	81.6	108.5	53.9	208.5	221	196.1
34	77.6	104.2	50.2	198.8	210.7	186.9
33	74.3	100.9	46.9	190	201.5	178.6
32	71.7	98.7	44	182.2	193.3	171.2
31	69.6	97	41.4	175.4	186.3	164.5
30	67.8	95.7	39.1	169.5	180.5	158.5
29	66	94	37.1	164.8	176.2	153
28	63.9	91.6	35.4	161	173.6	148.1
27	61.5	88.4	33.9	158.3	172.7	143.4
26	58.9	84.5	32.7	156.3	173.3	139
25	56.4	80.4	31.7	155	174.7	134.7
24	54.2	76.8	31	153.7	176.2	130.4
23	52.7	74.3	30.4	151.8	176.7	126
22	51.7	72.7	30	148.8	175.2	121.3
21	51	71.5	29.6	143.9	170.7	116.1
20	49.7	69.6	29	137	162.8	110.2
19	47.1	65.4	28	127.8	151.5	103.2
18	42.6	57.9	26.6	116.8	137.5	95.3
17	36.6	48.1	24.6	104.7	122.1	86.7
16	29.9	37.3	22.2	92.5	106.7	77.8
15	23.8	27.8	19.7	81.3	92.6	69.4
14	18.8	20.4	17.2	71.6	80.9	61.9
13	15.2	15.3	15	64.2	72.1	55.9
12	12.6	12	13.2	59	66.1	51.5
11	11	10.1	11.9	56.2	63.1	48.9
10	10	9.16	11	55.7	62.9	48.3
9	9.67	8.9	10.5	57.8	65.7	49.8
8	9.77	9.18	10.4	62.9	71.6	53.8
7	10.4	9.96	10.8	71.5	81.4	61.3
6	11.5	11.2	11.7	84.9	96	73.4
5	13.1	13.1	13.1	104.6	116.8	91.9
4	15.4	15.5	15.3	132.9	145.7	119.4
3	18.4	18.7	18.1	172.5	184.8	159.4
2	22.3	22.7	21.8	227.1	237.1	216.5
1	27.1	27.7	26.4	301	306	296.6
0	519	531	507	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 Chile, the most common age of death is 88, compared to 0 in East Timor. The median age of death is 84.8 in Chile 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 Chile and East Timor more than their death rates.

Life expectancy in other countries

+ -

1x