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

Life expectancy by current age

Chart Table

East Timor

Male

Female

Germany

Male

Female

1x

Current age, years	Total life expectancy, years
	East Timor			Germany
	Average	Male	Female	Average	Male	Female
100	101.7	101.7	101.8	101.9	101.8	101.9
99	100.8	100.7	100.9	101	100.9	101.1
98	99.9	99.8	100	100.2	100.1	100.2
97	99	98.9	99.1	99.4	99.2	99.4
96	98.1	98	98.2	98.6	98.4	98.6
95	97.2	97.1	97.3	97.8	97.6	97.9
94	96.4	96.2	96.4	97	96.8	97.1
93	95.5	95.4	95.6	96.3	96	96.4
92	94.6	94.5	94.7	95.6	95.3	95.7
91	93.8	93.7	93.9	94.9	94.5	95
90	93	92.8	93.1	94.2	93.9	94.4
89	92.2	92	92.3	93.6	93.2	93.8
88	91.4	91.2	91.5	93	92.5	93.2
87	90.6	90.4	90.8	92.4	91.9	92.7
86	89.9	89.7	90	91.9	91.3	92.2
85	89.1	88.9	89.3	91.3	90.8	91.7
84	88.4	88.2	88.6	90.9	90.3	91.3
83	87.7	87.5	87.9	90.4	89.8	90.9
82	87	86.8	87.2	90	89.3	90.5
81	86.4	86.1	86.6	89.6	88.8	90.2
80	85.7	85.5	86	89.2	88.4	89.8
79	85.1	84.8	85.4	88.9	88	89.6
78	84.5	84.2	84.8	88.6	87.6	89.3
77	84	83.6	84.3	88.2	87.3	89
76	83.4	83	83.7	88	86.9	88.8
75	82.9	82.5	83.2	87.7	86.6	88.6
74	82.4	81.9	82.8	87.4	86.3	88.3
73	81.9	81.4	82.3	87.1	85.9	88.1
72	81.4	80.9	81.9	86.9	85.6	87.9
71	81	80.4	81.4	86.6	85.3	87.7
70	80.5	80	81.1	86.3	85	87.5
69	80.1	79.5	80.7	86.1	84.7	87.3
68	79.7	79.1	80.3	85.9	84.4	87.2
67	79.3	78.7	80	85.6	84.2	87
66	79	78.3	79.7	85.4	83.9	86.8
65	78.6	77.9	79.3	85.2	83.7	86.7
64	78.3	77.5	79.1	85	83.4	86.5
63	78	77.2	78.8	84.8	83.2	86.4
62	77.7	76.8	78.5	84.6	82.9	86.2
61	77.4	76.5	78.3	84.5	82.7	86.1
60	77.1	76.2	78	84.3	82.5	86
59	76.8	75.9	77.8	84.1	82.3	85.9
58	76.6	75.6	77.6	84	82.2	85.8
57	76.4	75.4	77.4	83.9	82	85.7
56	76.1	75.1	77.2	83.7	81.9	85.6
55	75.9	74.9	77	83.6	81.7	85.5
54	75.7	74.6	76.8	83.5	81.6	85.4
53	75.5	74.4	76.7	83.4	81.5	85.3
52	75.3	74.2	76.5	83.3	81.4	85.3
51	75.1	74	76.3	83.2	81.3	85.2
50	75	73.8	76.2	83.2	81.2	85.1
49	74.8	73.7	76	83.1	81.1	85.1
48	74.7	73.5	75.9	83	81	85
47	74.5	73.3	75.8	83	80.9	85
46	74.4	73.2	75.6	82.9	80.9	84.9
45	74.3	73.1	75.5	82.9	80.8	84.9
44	74.1	72.9	75.4	82.8	80.7	84.9
43	74	72.8	75.3	82.8	80.7	84.8
42	73.9	72.7	75.2	82.7	80.6	84.8
41	73.8	72.6	75.1	82.7	80.6	84.8
40	73.7	72.5	75	82.7	80.6	84.7
39	73.6	72.4	74.9	82.6	80.5	84.7
38	73.5	72.3	74.8	82.6	80.5	84.7
37	73.4	72.2	74.7	82.6	80.4	84.7
36	73.3	72.1	74.7	82.5	80.4	84.6
35	73.2	72	74.6	82.5	80.4	84.6
34	73.2	71.9	74.5	82.5	80.3	84.6
33	73.1	71.8	74.4	82.5	80.3	84.6
32	73	71.7	74.3	82.4	80.3	84.6
31	72.9	71.7	74.3	82.4	80.3	84.6
30	72.8	71.6	74.2	82.4	80.2	84.5
29	72.8	71.5	74.1	82.4	80.2	84.5
28	72.7	71.4	74	82.4	80.2	84.5
27	72.6	71.3	74	82.3	80.2	84.5
26	72.5	71.3	73.9	82.3	80.1	84.5
25	72.5	71.2	73.8	82.3	80.1	84.5
24	72.4	71.1	73.8	82.3	80.1	84.5
23	72.3	71	73.7	82.3	80.1	84.5
22	72.2	70.9	73.6	82.3	80.1	84.5
21	72.1	70.8	73.6	82.2	80	84.5
20	72.1	70.7	73.5	82.2	80	84.4
19	72	70.6	73.4	82.2	80	84.4
18	71.9	70.6	73.4	82.2	80	84.4
17	71.9	70.5	73.3	82.2	80	84.4
16	71.8	70.4	73.3	82.2	80	84.4
15	71.8	70.4	73.3	82.2	79.9	84.4
14	71.7	70.3	73.2	82.2	79.9	84.4
13	71.7	70.3	73.2	82.2	79.9	84.4
12	71.6	70.2	73.1	82.2	79.9	84.4
11	71.6	70.2	73.1	82.2	79.9	84.4
10	71.6	70.2	73.1	82.1	79.9	84.4
9	71.5	70.1	73.1	82.1	79.9	84.4
8	71.5	70.1	73	82.1	79.9	84.4
7	71.4	70	73	82.1	79.9	84.4
6	71.4	70	72.9	82.1	79.9	84.4
5	71.3	69.9	72.9	82.1	79.9	84.4
4	71.2	69.8	72.8	82.1	79.9	84.4
3	71.1	69.7	72.7	82.1	79.9	84.3
2	70.9	69.5	72.5	82.1	79.9	84.3
1	70.7	69.3	72.3	82.1	79.8	84.3
0	68.3	66.7	70.1	81.9	79.6	84.1

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 East Timor can expect to live to 72.8 years compared to 82.4 in Germany, rising to 78.6 and 85.2 at 65, and to 85.7 and 89.2 at 80 — higher than the 68.3 and 81.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

East Timor

Male

Female

Germany

Male

Female

1x

Age	Survival probability
	East Timor			Germany
	Average	Male	Female	Average	Male	Female
100	0.09%	0.05%	0.13%	1.57%	0.87%	2.2%
99	0.15%	0.09%	0.22%	2.44%	1.4%	3.4%
98	0.25%	0.15%	0.35%	3.66%	2.17%	5.04%
97	0.4%	0.25%	0.56%	5.28%	3.24%	7.19%
96	0.62%	0.41%	0.85%	7.35%	4.66%	9.89%
95	0.93%	0.63%	1.26%	9.89%	6.48%	13.1%
94	1.37%	0.95%	1.83%	12.9%	8.74%	16.9%
93	1.96%	1.39%	2.59%	16.4%	11.4%	21.1%
92	2.73%	1.98%	3.56%	20.2%	14.5%	25.7%
91	3.72%	2.76%	4.78%	24.3%	18%	30.6%
90	4.95%	3.74%	6.28%	28.7%	21.7%	35.6%
89	6.44%	4.96%	8.05%	33.1%	25.6%	40.5%
88	8.2%	6.42%	10.1%	37.6%	29.7%	45.4%
87	10.2%	8.15%	12.5%	42%	33.8%	50.1%
86	12.5%	10.1%	15.1%	46.2%	37.9%	54.5%
85	15.1%	12.3%	18%	50.3%	41.9%	58.6%
84	17.9%	14.8%	21.2%	54%	45.7%	62.4%
83	20.8%	17.4%	24.5%	57.6%	49.3%	65.8%
82	24%	20.2%	27.9%	60.8%	52.8%	68.9%
81	27.2%	23.2%	31.4%	63.8%	56%	71.6%
80	30.5%	26.2%	35%	66.5%	58.9%	74%
79	33.8%	29.3%	38.5%	68.9%	61.7%	76.2%
78	37%	32.5%	42%	71.2%	64.3%	78.1%
77	40.3%	35.6%	45.4%	73.2%	66.7%	79.8%
76	43.5%	38.7%	48.6%	75.1%	68.9%	81.4%
75	46.6%	41.8%	51.8%	76.9%	71%	82.8%
74	49.6%	44.9%	54.8%	78.5%	73%	84.1%
73	52.5%	47.8%	57.6%	80.1%	74.9%	85.4%
72	55.3%	50.7%	60.3%	81.6%	76.7%	86.5%
71	57.9%	53.4%	62.9%	83%	78.4%	87.6%
70	60.4%	56.1%	65.2%	84.3%	80%	88.6%
69	62.8%	58.6%	67.4%	85.5%	81.6%	89.5%
68	65%	61%	69.5%	86.6%	83%	90.4%
67	67.1%	63.2%	71.4%	87.7%	84.3%	91.2%
66	69%	65.4%	73.1%	88.7%	85.6%	91.9%
65	70.9%	67.4%	74.7%	89.6%	86.8%	92.6%
64	72.6%	69.3%	76.2%	90.5%	88%	93.2%
63	74.2%	71.1%	77.6%	91.3%	89%	93.8%
62	75.7%	72.7%	78.9%	92.1%	90%	94.3%
61	77%	74.3%	80%	92.8%	90.9%	94.8%
60	78.3%	75.8%	81.1%	93.4%	91.7%	95.2%
59	79.5%	77.1%	82.1%	94%	92.5%	95.7%
58	80.6%	78.4%	83%	94.6%	93.1%	96%
57	81.6%	79.6%	83.9%	95.1%	93.8%	96.4%
56	82.6%	80.7%	84.7%	95.5%	94.3%	96.7%
55	83.5%	81.7%	85.4%	95.9%	94.8%	97%
54	84.3%	82.6%	86.1%	96.3%	95.3%	97.2%
53	85%	83.5%	86.7%	96.6%	95.7%	97.5%
52	85.7%	84.2%	87.3%	96.9%	96.1%	97.7%
51	86.4%	85%	87.9%	97.1%	96.4%	97.9%
50	87%	85.6%	88.4%	97.3%	96.7%	98%
49	87.5%	86.3%	88.9%	97.5%	96.9%	98.2%
48	88%	86.8%	89.3%	97.7%	97.2%	98.3%
47	88.5%	87.3%	89.7%	97.9%	97.4%	98.5%
46	88.9%	87.8%	90.1%	98%	97.6%	98.6%
45	89.3%	88.3%	90.5%	98.2%	97.7%	98.7%
44	89.7%	88.7%	90.8%	98.3%	97.9%	98.8%
43	90.1%	89.1%	91.1%	98.4%	98%	98.8%
42	90.4%	89.4%	91.4%	98.5%	98.1%	98.9%
41	90.7%	89.7%	91.7%	98.6%	98.3%	99%
40	91%	90%	91.9%	98.7%	98.4%	99%
39	91.2%	90.3%	92.2%	98.8%	98.5%	99.1%
38	91.5%	90.6%	92.4%	98.8%	98.6%	99.1%
37	91.7%	90.8%	92.6%	98.9%	98.6%	99.2%
36	91.9%	91%	92.8%	99%	98.7%	99.2%
35	92.1%	91.3%	93%	99%	98.8%	99.3%
34	92.3%	91.5%	93.2%	99.1%	98.9%	99.3%
33	92.5%	91.7%	93.4%	99.1%	98.9%	99.3%
32	92.7%	91.9%	93.6%	99.2%	99%	99.4%
31	92.9%	92%	93.7%	99.2%	99%	99.4%
30	93%	92.2%	93.9%	99.2%	99.1%	99.4%
29	93.2%	92.4%	94%	99.3%	99.1%	99.4%
28	93.4%	92.6%	94.2%	99.3%	99.2%	99.5%
27	93.5%	92.8%	94.3%	99.3%	99.2%	99.5%
26	93.7%	92.9%	94.5%	99.4%	99.2%	99.5%
25	93.8%	93.1%	94.6%	99.4%	99.3%	99.5%
24	94%	93.3%	94.7%	99.4%	99.3%	99.5%
23	94.1%	93.5%	94.9%	99.4%	99.4%	99.5%
22	94.3%	93.6%	95%	99.5%	99.4%	99.5%
21	94.4%	93.8%	95.1%	99.5%	99.4%	99.6%
20	94.6%	94%	95.2%	99.5%	99.5%	99.6%
19	94.7%	94.1%	95.3%	99.5%	99.5%	99.6%
18	94.8%	94.2%	95.4%	99.6%	99.5%	99.6%
17	94.9%	94.4%	95.5%	99.6%	99.6%	99.6%
16	95%	94.5%	95.6%	99.6%	99.6%	99.6%
15	95.1%	94.6%	95.6%	99.6%	99.6%	99.6%
14	95.2%	94.7%	95.7%	99.6%	99.6%	99.7%
13	95.2%	94.7%	95.8%	99.6%	99.6%	99.7%
12	95.3%	94.8%	95.8%	99.6%	99.6%	99.7%
11	95.3%	94.9%	95.9%	99.6%	99.6%	99.7%
10	95.4%	94.9%	95.9%	99.7%	99.6%	99.7%
9	95.5%	95%	96%	99.7%	99.6%	99.7%
8	95.5%	95.1%	96%	99.7%	99.6%	99.7%
7	95.6%	95.1%	96.1%	99.7%	99.6%	99.7%
6	95.7%	95.2%	96.1%	99.7%	99.7%	99.7%
5	95.8%	95.3%	96.2%	99.7%	99.7%	99.7%
4	95.9%	95.5%	96.4%	99.7%	99.7%	99.7%
3	96.1%	95.7%	96.5%	99.7%	99.7%	99.7%
2	96.3%	95.9%	96.7%	99.7%	99.7%	99.7%
1	96.6%	96.2%	97%	99.7%	99.7%	99.8%

This chart shows the odds of living to each age from birth. 78.3% of newborns in East Timor and 93.4% in Germany are expected to live past 60, 60.4% and 84.3% past 70, 30.5% and 66.5% past 80, and only 4.95% and 28.7% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

East Timor

Male

Female

Germany

Male

Female

1x

Age	Probability of dying
	East Timor			Germany
	Average	Male	Female	Average	Male	Female
100	42.8%	44.7%	41.9%	38.4%	40.3%	37.9%
99	41%	42.9%	40.1%	35.8%	37.9%	35.2%
98	39.2%	41.1%	38.3%	33.3%	35.4%	32.6%
97	37.4%	39.2%	36.4%	30.7%	32.9%	30%
96	35.6%	37.4%	34.6%	28.2%	30.5%	27.3%
95	33.8%	35.5%	32.8%	25.7%	28.2%	24.7%
94	32%	33.6%	31%	23.3%	25.9%	22.2%
93	30.2%	31.8%	29.2%	21.1%	23.6%	20%
92	28.4%	29.9%	27.4%	19%	21.3%	17.9%
91	26.6%	28.1%	25.6%	17%	19.1%	15.9%
90	24.8%	26.3%	23.8%	15.1%	17.1%	14%
89	23.1%	24.5%	22.1%	13.4%	15.4%	12.3%
88	21.5%	22.8%	20.4%	11.9%	13.7%	10.7%
87	19.9%	21.1%	18.9%	10.5%	12.2%	9.36%
86	18.4%	19.5%	17.5%	9.19%	10.8%	8.11%
85	16.9%	18%	16.1%	8.04%	9.54%	6.99%
84	15.6%	16.5%	14.8%	7.01%	8.39%	6.01%
83	14.3%	15.1%	13.6%	6.11%	7.38%	5.17%
82	13%	13.9%	12.4%	5.32%	6.49%	4.45%
81	11.9%	12.7%	11.2%	4.65%	5.72%	3.83%
80	10.8%	11.6%	10.2%	4.06%	5.05%	3.29%
79	9.77%	10.6%	9.15%	3.56%	4.47%	2.82%
78	8.86%	9.69%	8.25%	3.13%	3.98%	2.44%
77	8.04%	8.86%	7.43%	2.8%	3.59%	2.14%
76	7.32%	8.1%	6.71%	2.53%	3.26%	1.92%
75	6.66%	7.4%	6.06%	2.31%	2.99%	1.74%
74	6.07%	6.76%	5.48%	2.12%	2.74%	1.59%
73	5.53%	6.17%	4.96%	1.95%	2.53%	1.45%
72	5.03%	5.63%	4.47%	1.8%	2.34%	1.34%
71	4.57%	5.14%	4.03%	1.67%	2.17%	1.23%
70	4.15%	4.69%	3.63%	1.54%	2.01%	1.12%
69	3.77%	4.29%	3.26%	1.42%	1.86%	1.02%
68	3.42%	3.92%	2.94%	1.32%	1.73%	0.94%
67	3.1%	3.58%	2.65%	1.23%	1.61%	0.86%
66	2.82%	3.27%	2.39%	1.14%	1.49%	0.79%
65	2.57%	3%	2.16%	1.05%	1.39%	0.73%
64	2.35%	2.74%	1.96%	0.98%	1.29%	0.67%
63	2.15%	2.51%	1.77%	0.9%	1.19%	0.62%
62	1.96%	2.3%	1.61%	0.82%	1.08%	0.57%
61	1.79%	2.11%	1.46%	0.75%	0.98%	0.52%
60	1.64%	1.93%	1.33%	0.69%	0.89%	0.48%
59	1.5%	1.77%	1.21%	0.62%	0.81%	0.44%
58	1.37%	1.62%	1.11%	0.57%	0.74%	0.39%
57	1.26%	1.48%	1.02%	0.51%	0.66%	0.36%
56	1.15%	1.35%	0.94%	0.46%	0.6%	0.33%
55	1.06%	1.23%	0.86%	0.42%	0.54%	0.29%
54	0.97%	1.12%	0.8%	0.37%	0.48%	0.26%
53	0.89%	1.02%	0.74%	0.33%	0.43%	0.24%
52	0.81%	0.93%	0.68%	0.29%	0.38%	0.21%
51	0.75%	0.85%	0.63%	0.26%	0.33%	0.19%
50	0.69%	0.78%	0.58%	0.24%	0.3%	0.17%
49	0.63%	0.71%	0.54%	0.21%	0.27%	0.16%
48	0.58%	0.65%	0.5%	0.19%	0.24%	0.14%
47	0.53%	0.6%	0.46%	0.17%	0.21%	0.12%
46	0.49%	0.55%	0.43%	0.15%	0.19%	0.11%
45	0.45%	0.5%	0.39%	0.14%	0.17%	0.1%
44	0.41%	0.46%	0.37%	0.12%	0.16%	0.09%
43	0.38%	0.42%	0.34%	0.11%	0.14%	0.08%
42	0.35%	0.39%	0.32%	0.1%	0.13%	0.07%
41	0.33%	0.36%	0.3%	0.09%	0.12%	0.07%
40	0.31%	0.33%	0.28%	0.09%	0.11%	0.06%
39	0.29%	0.31%	0.26%	0.08%	0.1%	0.06%
38	0.27%	0.29%	0.25%	0.07%	0.09%	0.05%
37	0.25%	0.27%	0.23%	0.07%	0.08%	0.05%
36	0.24%	0.26%	0.22%	0.06%	0.08%	0.04%
35	0.23%	0.24%	0.21%	0.06%	0.07%	0.04%
34	0.22%	0.23%	0.2%	0.05%	0.07%	0.04%
33	0.21%	0.22%	0.19%	0.05%	0.06%	0.03%
32	0.2%	0.21%	0.18%	0.05%	0.06%	0.03%
31	0.19%	0.2%	0.18%	0.04%	0.05%	0.03%
30	0.18%	0.2%	0.17%	0.04%	0.05%	0.03%
29	0.18%	0.19%	0.16%	0.04%	0.05%	0.02%
28	0.17%	0.19%	0.16%	0.03%	0.04%	0.02%
27	0.17%	0.19%	0.15%	0.03%	0.04%	0.02%
26	0.17%	0.19%	0.15%	0.03%	0.04%	0.02%
25	0.17%	0.19%	0.14%	0.03%	0.04%	0.02%
24	0.16%	0.19%	0.14%	0.03%	0.04%	0.02%
23	0.16%	0.19%	0.13%	0.03%	0.04%	0.02%
22	0.16%	0.19%	0.13%	0.03%	0.04%	0.01%
21	0.15%	0.18%	0.12%	0.03%	0.04%	0.01%
20	0.14%	0.17%	0.12%	0.03%	0.04%	0.02%
19	0.13%	0.16%	0.11%	0.03%	0.03%	0.02%
18	0.12%	0.15%	0.1%	0.02%	0.03%	0.01%
17	0.11%	0.13%	0.09%	0.02%	0.03%	0.01%
16	0.1%	0.11%	0.08%	0.02%	0.02%	0.01%
15	0.09%	0.1%	0.07%	0.01%	0.01%	0.01%
14	0.08%	0.09%	0.06%	0.009%	0.01%	0.009%
13	0.07%	0.08%	0.06%	0.008%	0.008%	0.008%
12	0.06%	0.07%	0.05%	0.007%	0.007%	0.007%
11	0.06%	0.07%	0.05%	0.006%	0.006%	0.006%
10	0.06%	0.07%	0.05%	0.006%	0.006%	0.005%
9	0.06%	0.07%	0.05%	0.006%	0.006%	0.005%
8	0.07%	0.08%	0.06%	0.006%	0.007%	0.005%
7	0.07%	0.09%	0.06%	0.006%	0.007%	0.005%
6	0.09%	0.1%	0.08%	0.007%	0.008%	0.006%
5	0.11%	0.12%	0.1%	0.008%	0.008%	0.007%
4	0.14%	0.15%	0.12%	0.008%	0.009%	0.008%
3	0.18%	0.19%	0.17%	0.009%	0.009%	0.008%
2	0.24%	0.25%	0.22%	0.01%	0.01%	0.009%
1	0.31%	0.32%	0.31%	0.03%	0.03%	0.02%
0	3.39%	3.78%	2.97%	0.26%	0.28%	0.24%

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

The annual chance of dying is 3.39% in the birth year in East Timor and 0.26% in Germany, 0.18% vs 0.04% at age 30, 1.64% vs 0.69% at 60, and 10.8% vs 4.06% at 80.

Death rate by age in East Timor vs Germany

Chart Table

East Timor

Male

Female

Germany

Male

Female

1x

Age	Death rate
	East Timor			Germany
	Total	Male	Female	Total	Male	Female
100	0	0	0	411	149.7	645
99	61.8	39	87.4	874	530	1,197
98	97.3	63.4	135.2	1,217	768	1,642
97	148.3	99.6	202.6	1,623	1,066	2,155
96	219.3	151.6	294.2	2,070	1,421	2,698
95	314	223.2	415	2,537	1,824	3,236
94	437	319	567	3,012	2,264	3,756
93	591	441	754	3,456	2,699	4,218
92	775	593	974	3,843	3,091	4,602
91	990	775	1,222	4,141	3,427	4,868
90	1,230	984	1,493	4,341	3,710	4,988
89	1,489	1,217	1,778	4,447	3,930	4,984
88	1,760	1,466	2,070	4,458	4,061	4,878
87	2,034	1,723	2,360	4,390	4,114	4,689
86	2,301	1,977	2,639	4,248	4,095	4,424
85	2,553	2,220	2,899	4,039	3,995	4,101
84	2,780	2,442	3,129	3,788	3,836	3,753
83	2,972	2,637	3,316	3,517	3,640	3,402
82	3,121	2,803	3,452	3,238	3,424	3,062
81	3,224	2,937	3,530	2,964	3,202	2,740
80	3,282	3,038	3,553	2,702	2,979	2,436
79	3,299	3,108	3,527	2,452	2,760	2,150
78	3,282	3,146	3,463	2,230	2,560	1,904
77	3,240	3,155	3,372	2,048	2,391	1,710
76	3,180	3,138	3,263	1,900	2,250	1,561
75	3,104	3,095	3,139	1,777	2,125	1,442
74	3,011	3,032	3,003	1,662	2,004	1,335
73	2,903	2,951	2,856	1,560	1,893	1,240
72	2,781	2,855	2,699	1,471	1,797	1,157
71	2,648	2,747	2,535	1,389	1,705	1,078
70	2,509	2,632	2,368	1,300	1,607	995
69	2,366	2,511	2,201	1,217	1,514	916
68	2,223	2,387	2,041	1,142	1,432	848
67	2,083	2,263	1,889	1,075	1,357	788
66	1,950	2,139	1,746	1,007	1,280	730
65	1,824	2,018	1,614	943	1,205	676
64	1,705	1,900	1,491	884	1,135	627
63	1,592	1,785	1,377	821	1,055	579
62	1,484	1,675	1,270	757	972	534
61	1,382	1,568	1,171	699	895	495
60	1,285	1,465	1,080	642	821	457
59	1,194	1,366	997	587	753	416
58	1,108	1,270	921	535	687	378
57	1,027	1,177	853	487	623	346
56	951	1,089	792	441	563	316
55	881	1,005	737	398	508	285.7
54	815	927	686	358	456	256.9
53	755	854	640	320	407	231.5
52	698	787	596	284.9	360	208.4
51	645	725	555	254.5	320	188
50	596	668	516	229.5	287.6	170.4
49	550	616	479	207	259.3	153.8
48	508	567	445	185.3	232.3	137.5
47	469	522	413	165.7	208.4	122.3
46	433	481	383	149.1	188.7	108.9
45	400	442	356	134.2	170.5	97.3
44	370	407	332	120.3	152.3	87.5
43	343	375	310	108.4	137.1	78.7
42	319	347	289.8	99.4	126.7	71
41	297	321	272.2	91.5	117.1	64.6
40	277.7	298.5	256.3	84.2	107.7	59.5
39	260.5	278.6	242	76.9	97.9	54.6
38	245.2	261.2	229	70.3	89.5	49.8
37	231.6	246	217.1	64.7	83.1	44.9
36	219.4	232.7	206.2	59.4	77	40.6
35	208.5	221	196.1	55	71.1	37.8
34	198.8	210.7	186.9	51	65.8	35.2
33	190	201.5	178.6	47.6	61.9	32.2
32	182.2	193.3	171.2	44.7	58.3	30
31	175.4	186.3	164.5	42	54	28.8
30	169.5	180.5	158.5	38.5	49.5	26.4
29	164.8	176.2	153	34.9	45.3	23.4
28	161	173.6	148.1	32.1	42.4	20.8
27	158.3	172.7	143.4	30	40.3	18.5
26	156.3	173.3	139	28.6	39.3	16.8
25	155	174.7	134.7	27.6	38.6	15.7
24	153.7	176.2	130.4	26.9	37.6	15.2
23	151.8	176.7	126	26.2	36.7	15
22	148.8	175.2	121.3	25.7	36.2	14.6
21	143.9	170.7	116.1	25.6	36	14.7
20	137	162.8	110.2	26.1	36	15.5
19	127.8	151.5	103.2	25.3	34.6	15.4
18	116.8	137.5	95.3	22.9	30.7	14.5
17	104.7	122.1	86.7	19.5	25.1	13.6
16	92.5	106.7	77.8	15.5	18.8	12.1
15	81.3	92.6	69.4	12	13.8	10.2
14	71.6	80.9	61.9	9.35	10.1	8.53
13	64.2	72.1	55.9	7.7	7.78	7.61
12	59	66.1	51.5	6.7	6.53	6.87
11	56.2	63.1	48.9	6.08	6.17	5.99
10	55.7	62.9	48.3	5.74	6.23	5.22
9	57.8	65.7	49.8	5.49	6.23	4.71
8	62.9	71.6	53.8	5.54	6.48	4.56
7	71.5	81.4	61.3	5.96	6.94	4.91
6	84.9	96	73.4	6.74	7.49	5.95
5	104.6	116.8	91.9	7.69	8.09	7.28
4	132.9	145.7	119.4	8.4	8.73	8.05
3	172.5	184.8	159.4	8.73	9.26	8.17
2	227.1	237.1	216.5	10.1	11	9.22
1	301	306	296.6	27.4	29.9	24.7
0	3,388	3,779	2,971	263.3	281	244.7

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 East Timor, the most common age of death is 0, compared to 88 in Germany. The median age of death is 73.9 in East Timor and 85.1 in Germany, 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 East Timor and Germany more than their death rates.

Life expectancy in other countries

+ -

1x