Life Expectancy in East Timor vs Germany (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 East Timor vs Germany: 72.7 years vs 82.3 at 30, 78.6 vs 85.1 at 65, 85.7 vs 89.2 at 80 — significantly higher than the 68.1 vs 81.7 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in East Timor and Germany.

Table

Current age, years	Total life expectancy, years
	East Timor			Germany
	Average	Male	Female	Average	Male	Female
0	68.1	66.5	69.9	81.7	79.4	84
1	70.6	69.2	72.1	81.9	79.7	84.2
2	70.8	69.4	72.4	82	79.7	84.2
3	71	69.5	72.5	82	79.7	84.2
4	71.1	69.7	72.6	82	79.7	84.3
5	71.2	69.8	72.7	82	79.7	84.3
6	71.3	69.9	72.8	82	79.7	84.3
7	71.3	69.9	72.8	82	79.7	84.3
8	71.4	70	72.9	82	79.7	84.3
9	71.4	70	72.9	82	79.7	84.3
10	71.5	70.1	73	82	79.7	84.3
11	71.5	70.1	73	82	79.7	84.3
12	71.5	70.2	73	82	79.7	84.3
13	71.6	70.2	73.1	82	79.7	84.3
14	71.6	70.2	73.1	82	79.7	84.3
15	71.7	70.3	73.1	82	79.7	84.3
16	71.7	70.3	73.2	82	79.8	84.3
17	71.8	70.4	73.2	82	79.8	84.3
18	71.8	70.5	73.3	82.1	79.8	84.3
19	71.9	70.5	73.3	82.1	79.8	84.3
20	72	70.6	73.4	82.1	79.8	84.4
21	72	70.7	73.5	82.1	79.9	84.4
22	72.1	70.8	73.5	82.1	79.9	84.4
23	72.2	70.9	73.6	82.1	79.9	84.4
24	72.3	71	73.7	82.2	79.9	84.4
25	72.4	71.1	73.7	82.2	79.9	84.4
26	72.4	71.2	73.8	82.2	80	84.4
27	72.5	71.3	73.9	82.2	80	84.4
28	72.6	71.3	73.9	82.2	80	84.4
29	72.7	71.4	74	82.2	80	84.4
30	72.7	71.5	74.1	82.3	80	84.5
31	72.8	71.6	74.2	82.3	80.1	84.5
32	72.9	71.7	74.2	82.3	80.1	84.5
33	73	71.7	74.3	82.3	80.1	84.5
34	73.1	71.8	74.4	82.3	80.2	84.5
35	73.2	71.9	74.5	82.4	80.2	84.5
36	73.2	72	74.6	82.4	80.2	84.6
37	73.3	72.1	74.6	82.4	80.3	84.6
38	73.4	72.2	74.7	82.5	80.3	84.6
39	73.5	72.3	74.8	82.5	80.3	84.6
40	73.6	72.4	74.9	82.5	80.4	84.6
41	73.7	72.5	75	82.6	80.4	84.7
42	73.8	72.6	75.1	82.6	80.5	84.7
43	73.9	72.7	75.2	82.6	80.5	84.7
44	74.1	72.9	75.3	82.7	80.6	84.8
45	74.2	73	75.4	82.7	80.6	84.8
46	74.3	73.1	75.6	82.8	80.7	84.8
47	74.4	73.3	75.7	82.8	80.8	84.9
48	74.6	73.4	75.8	82.9	80.8	84.9
49	74.7	73.6	76	83	80.9	85
50	74.9	73.8	76.1	83	81	85
51	75.1	74	76.3	83.1	81.1	85.1
52	75.3	74.2	76.4	83.2	81.2	85.2
53	75.4	74.4	76.6	83.3	81.3	85.2
54	75.6	74.6	76.8	83.4	81.4	85.3
55	75.9	74.8	76.9	83.5	81.6	85.4
56	76.1	75.1	77.1	83.6	81.7	85.5
57	76.3	75.3	77.3	83.7	81.8	85.6
58	76.5	75.6	77.5	83.9	82	85.7
59	76.8	75.9	77.7	84	82.2	85.8
60	77.1	76.2	78	84.2	82.4	85.9
61	77.3	76.5	78.2	84.4	82.6	86
62	77.6	76.8	78.5	84.5	82.8	86.2
63	77.9	77.1	78.7	84.7	83	86.3
64	78.3	77.5	79	84.9	83.3	86.4
65	78.6	77.9	79.3	85.1	83.5	86.6
66	78.9	78.2	79.6	85.3	83.8	86.7
67	79.3	78.6	79.9	85.5	84	86.9
68	79.7	79.1	80.3	85.8	84.3	87.1
69	80.1	79.5	80.6	86	84.6	87.3
70	80.5	79.9	81	86.2	84.9	87.4
71	80.9	80.4	81.4	86.5	85.2	87.6
72	81.4	80.9	81.8	86.8	85.5	87.8
73	81.9	81.4	82.3	87	85.8	88.1
74	82.4	81.9	82.7	87.3	86.1	88.3
75	82.9	82.5	83.2	87.6	86.5	88.5
76	83.4	83	83.7	87.9	86.8	88.7
77	83.9	83.6	84.2	88.2	87.2	89
78	84.5	84.2	84.8	88.5	87.6	89.2
79	85.1	84.8	85.3	88.8	87.9	89.5
80	85.7	85.4	85.9	89.2	88.3	89.8
81	86.3	86.1	86.6	89.5	88.8	90.1
82	87	86.8	87.2	89.9	89.2	90.5
83	87.7	87.5	87.9	90.4	89.7	90.8
84	88.4	88.2	88.6	90.8	90.2	91.2
85	89.1	88.9	89.3	91.3	90.7	91.7
86	89.8	89.6	90	91.8	91.3	92.2
87	90.6	90.4	90.7	92.4	91.9	92.7
88	91.4	91.2	91.5	92.9	92.5	93.2
89	92.2	92	92.3	93.6	93.2	93.8
90	93	92.8	93.1	94.2	93.8	94.4
91	93.8	93.7	93.9	94.8	94.5	95
92	94.6	94.5	94.7	95.5	95.2	95.7
93	95.5	95.4	95.6	96.3	96	96.4
94	96.3	96.2	96.4	97	96.8	97.1
95	97.2	97.1	97.3	97.8	97.6	97.8
96	98.1	98	98.2	98.6	98.4	98.6
97	99	98.9	99.1	99.4	99.2	99.4
98	99.9	99.8	99.9	100.2	100.1	100.2
99	100.8	100.7	100.9	101	100.9	101.1
100	101.7	101.7	101.8	101.9	101.8	101.9

Odds of living to age in East Timor vs Germany

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 78% in East Timor and 93.3% in Germany are expected to survive till at least 60 years old, 60.1% and 84% will live to 70 years or older, 30.2% and 66% to 80+ years, and 4.85% and 28.2% 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
	East Timor			Germany
	Average	Male	Female	Average	Male	Female
1	96.5%	96.1%	96.9%	99.7%	99.7%	99.7%
2	96.2%	95.8%	96.6%	99.7%	99.7%	99.7%
3	96%	95.6%	96.4%	99.7%	99.7%	99.7%
4	95.8%	95.4%	96.2%	99.7%	99.7%	99.7%
5	95.6%	95.2%	96.1%	99.7%	99.6%	99.7%
6	95.5%	95.1%	96%	99.7%	99.6%	99.7%
7	95.5%	95%	95.9%	99.7%	99.6%	99.7%
8	95.4%	94.9%	95.9%	99.7%	99.6%	99.7%
9	95.3%	94.8%	95.8%	99.6%	99.6%	99.7%
10	95.3%	94.8%	95.8%	99.6%	99.6%	99.7%
11	95.2%	94.7%	95.7%	99.6%	99.6%	99.7%
12	95.1%	94.7%	95.7%	99.6%	99.6%	99.7%
13	95.1%	94.6%	95.6%	99.6%	99.6%	99.7%
14	95%	94.5%	95.6%	99.6%	99.6%	99.6%
15	94.9%	94.4%	95.5%	99.6%	99.6%	99.6%
16	94.9%	94.3%	95.4%	99.6%	99.6%	99.6%
17	94.8%	94.2%	95.3%	99.6%	99.5%	99.6%
18	94.7%	94.1%	95.2%	99.6%	99.5%	99.6%
19	94.5%	94%	95.2%	99.5%	99.5%	99.6%
20	94.4%	93.8%	95%	99.5%	99.4%	99.6%
21	94.3%	93.6%	94.9%	99.5%	99.4%	99.6%
22	94.1%	93.5%	94.8%	99.5%	99.4%	99.5%
23	94%	93.3%	94.7%	99.4%	99.3%	99.5%
24	93.8%	93.1%	94.6%	99.4%	99.3%	99.5%
25	93.7%	92.9%	94.4%	99.4%	99.3%	99.5%
26	93.5%	92.8%	94.3%	99.3%	99.2%	99.5%
27	93.3%	92.6%	94.1%	99.3%	99.2%	99.5%
28	93.2%	92.4%	94%	99.3%	99.1%	99.4%
29	93%	92.2%	93.9%	99.2%	99.1%	99.4%
30	92.9%	92.1%	93.7%	99.2%	99%	99.4%
31	92.7%	91.9%	93.5%	99.2%	99%	99.4%
32	92.5%	91.7%	93.4%	99.1%	98.9%	99.3%
33	92.3%	91.5%	93.2%	99.1%	98.9%	99.3%
34	92.1%	91.3%	93%	99%	98.8%	99.3%
35	91.9%	91.1%	92.8%	99%	98.8%	99.2%
36	91.7%	90.9%	92.6%	98.9%	98.7%	99.2%
37	91.5%	90.6%	92.4%	98.9%	98.6%	99.2%
38	91.3%	90.4%	92.2%	98.8%	98.5%	99.1%
39	91%	90.1%	92%	98.7%	98.4%	99.1%
40	90.7%	89.8%	91.7%	98.7%	98.3%	99%
41	90.5%	89.5%	91.5%	98.6%	98.2%	98.9%
42	90.2%	89.2%	91.2%	98.5%	98.1%	98.9%
43	89.8%	88.8%	90.9%	98.4%	98%	98.8%
44	89.5%	88.5%	90.6%	98.3%	97.8%	98.7%
45	89.1%	88.1%	90.2%	98.1%	97.7%	98.6%
46	88.7%	87.6%	89.9%	98%	97.5%	98.5%
47	88.3%	87.1%	89.5%	97.9%	97.3%	98.4%
48	87.8%	86.6%	89.1%	97.7%	97.1%	98.3%
49	87.3%	86%	88.6%	97.5%	96.9%	98.2%
50	86.7%	85.4%	88.1%	97.3%	96.6%	98%
51	86.1%	84.7%	87.6%	97.1%	96.3%	97.8%
52	85.5%	84%	87.1%	96.8%	96%	97.7%
53	84.8%	83.2%	86.5%	96.5%	95.6%	97.4%
54	84%	82.4%	85.8%	96.2%	95.2%	97.2%
55	83.2%	81.4%	85.1%	95.8%	94.7%	96.9%
56	82.3%	80.4%	84.4%	95.4%	94.2%	96.7%
57	81.4%	79.3%	83.6%	95%	93.6%	96.3%
58	80.3%	78.1%	82.7%	94.5%	93%	96%
59	79.2%	76.9%	81.8%	93.9%	92.3%	95.6%
60	78%	75.5%	80.8%	93.3%	91.5%	95.2%
61	76.7%	74%	79.7%	92.7%	90.7%	94.7%
62	75.3%	72.5%	78.5%	92%	89.8%	94.2%
63	73.9%	70.8%	77.2%	91.2%	88.8%	93.7%
64	72.3%	69%	75.9%	90.4%	87.7%	93.1%
65	70.5%	67.1%	74.4%	89.5%	86.6%	92.5%
66	68.7%	65.1%	72.7%	88.5%	85.4%	91.8%
67	66.8%	62.9%	71%	87.5%	84.1%	91%
68	64.7%	60.6%	69.1%	86.4%	82.7%	90.3%
69	62.4%	58.3%	67.1%	85.3%	81.2%	89.4%
70	60.1%	55.7%	64.8%	84%	79.7%	88.5%
71	57.6%	53.1%	62.5%	82.7%	78.1%	87.5%
72	54.9%	50.4%	59.9%	81.3%	76.3%	86.4%
73	52.1%	47.5%	57.2%	79.8%	74.5%	85.2%
74	49.2%	44.6%	54.4%	78.2%	72.6%	83.9%
75	46.2%	41.5%	51.4%	76.5%	70.5%	82.6%
76	43.1%	38.4%	48.2%	74.7%	68.4%	81.1%
77	40%	35.3%	45%	72.8%	66.1%	79.6%
78	36.7%	32.2%	41.6%	70.7%	63.7%	77.8%
79	33.5%	29%	38.1%	68.5%	61.1%	75.9%
80	30.2%	25.9%	34.6%	66%	58.3%	73.7%
81	26.9%	22.9%	31.1%	63.2%	55.3%	71.3%
82	23.7%	20%	27.6%	60.2%	52%	68.5%
83	20.6%	17.2%	24.1%	57%	48.6%	65.4%
84	17.6%	14.6%	20.8%	53.5%	44.9%	62%
85	14.9%	12.2%	17.7%	49.7%	41.1%	58.2%
86	12.3%	9.98%	14.9%	45.6%	37.1%	54.1%
87	10.1%	8.02%	12.3%	41.4%	33%	49.7%
88	8.05%	6.32%	9.93%	37%	29%	45%
89	6.31%	4.87%	7.89%	32.6%	24.9%	40.1%
90	4.85%	3.67%	6.13%	28.2%	21.1%	35.1%
91	3.64%	2.7%	4.67%	23.9%	17.4%	30.2%
92	2.67%	1.94%	3.47%	19.8%	14.1%	25.3%
93	1.91%	1.36%	2.51%	16%	11%	20.8%
94	1.33%	0.92%	1.78%	12.6%	8.42%	16.6%
95	0.9%	0.61%	1.22%	9.64%	6.23%	12.9%
96	0.6%	0.39%	0.82%	7.16%	4.46%	9.71%
97	0.38%	0.25%	0.54%	5.14%	3.09%	7.05%
98	0.24%	0.15%	0.34%	3.56%	2.07%	4.93%
99	0.15%	0.09%	0.21%	2.37%	1.33%	3.32%
100	0.09%	0.05%	0.13%	1.52%	0.83%	2.15%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 3.5% in the birth year in East Timor and 0.27% in Germany, 0.19% vs 0.04% at age 30, 1.65% vs 0.7% at 60, and 10.9% vs 4.14% at 80.

Below is a graph displaying the probabilities of dying in East Timor compared to Germany at any given age.

Table

Age	Probability of dying
	East Timor			Germany
	Average	Male	Female	Average	Male	Female
0	3.5%	3.89%	3.08%	0.27%	0.29%	0.25%
1	0.32%	0.33%	0.32%	0.03%	0.03%	0.03%
2	0.24%	0.25%	0.23%	0.01%	0.01%	0.009%
3	0.18%	0.2%	0.17%	0.009%	0.01%	0.008%
4	0.14%	0.16%	0.13%	0.009%	0.009%	0.008%
5	0.11%	0.12%	0.1%	0.008%	0.008%	0.007%
6	0.09%	0.1%	0.08%	0.007%	0.008%	0.006%
7	0.08%	0.09%	0.07%	0.006%	0.007%	0.005%
8	0.07%	0.08%	0.06%	0.006%	0.007%	0.005%
9	0.06%	0.07%	0.05%	0.006%	0.006%	0.005%
10	0.06%	0.07%	0.05%	0.006%	0.006%	0.005%
11	0.06%	0.07%	0.05%	0.006%	0.006%	0.006%
12	0.06%	0.07%	0.06%	0.007%	0.007%	0.007%
13	0.07%	0.08%	0.06%	0.008%	0.008%	0.008%
14	0.08%	0.09%	0.07%	0.01%	0.01%	0.009%
15	0.09%	0.1%	0.07%	0.01%	0.01%	0.01%
16	0.1%	0.11%	0.08%	0.02%	0.02%	0.01%
17	0.11%	0.13%	0.09%	0.02%	0.03%	0.01%
18	0.13%	0.15%	0.1%	0.02%	0.03%	0.01%
19	0.14%	0.16%	0.11%	0.03%	0.04%	0.02%
20	0.15%	0.18%	0.12%	0.03%	0.04%	0.02%
21	0.16%	0.18%	0.13%	0.03%	0.04%	0.01%
22	0.16%	0.19%	0.13%	0.03%	0.04%	0.01%
23	0.16%	0.19%	0.14%	0.03%	0.04%	0.02%
24	0.17%	0.19%	0.14%	0.03%	0.04%	0.02%
25	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%
27	0.17%	0.19%	0.16%	0.03%	0.04%	0.02%
28	0.18%	0.19%	0.16%	0.03%	0.04%	0.02%
29	0.18%	0.19%	0.17%	0.04%	0.05%	0.02%
30	0.19%	0.2%	0.17%	0.04%	0.05%	0.03%
31	0.19%	0.2%	0.18%	0.04%	0.06%	0.03%
32	0.2%	0.21%	0.19%	0.05%	0.06%	0.03%
33	0.21%	0.22%	0.2%	0.05%	0.06%	0.03%
34	0.22%	0.23%	0.2%	0.05%	0.07%	0.04%
35	0.23%	0.25%	0.21%	0.06%	0.07%	0.04%
36	0.24%	0.26%	0.23%	0.06%	0.08%	0.04%
37	0.26%	0.27%	0.24%	0.07%	0.09%	0.05%
38	0.27%	0.29%	0.25%	0.07%	0.09%	0.05%
39	0.29%	0.31%	0.27%	0.08%	0.1%	0.06%
40	0.31%	0.34%	0.28%	0.09%	0.11%	0.06%
41	0.33%	0.36%	0.3%	0.09%	0.12%	0.07%
42	0.36%	0.39%	0.32%	0.1%	0.13%	0.07%
43	0.39%	0.43%	0.34%	0.11%	0.14%	0.08%
44	0.42%	0.46%	0.37%	0.12%	0.16%	0.09%
45	0.45%	0.51%	0.4%	0.14%	0.18%	0.1%
46	0.49%	0.55%	0.43%	0.15%	0.2%	0.11%
47	0.54%	0.6%	0.47%	0.17%	0.22%	0.13%
48	0.58%	0.66%	0.5%	0.19%	0.24%	0.14%
49	0.64%	0.72%	0.55%	0.22%	0.27%	0.16%
50	0.69%	0.79%	0.59%	0.24%	0.3%	0.18%
51	0.76%	0.86%	0.64%	0.27%	0.34%	0.19%
52	0.82%	0.94%	0.69%	0.3%	0.38%	0.22%
53	0.9%	1.03%	0.75%	0.34%	0.43%	0.24%
54	0.98%	1.13%	0.81%	0.38%	0.49%	0.27%
55	1.06%	1.24%	0.87%	0.42%	0.54%	0.3%
56	1.16%	1.36%	0.95%	0.47%	0.61%	0.33%
57	1.27%	1.49%	1.03%	0.52%	0.68%	0.36%
58	1.39%	1.63%	1.12%	0.57%	0.75%	0.4%
59	1.51%	1.78%	1.23%	0.63%	0.83%	0.44%
60	1.65%	1.95%	1.34%	0.7%	0.91%	0.48%
61	1.81%	2.13%	1.48%	0.76%	1%	0.53%
62	1.98%	2.32%	1.63%	0.83%	1.1%	0.57%
63	2.16%	2.53%	1.79%	0.91%	1.21%	0.62%
64	2.36%	2.76%	1.97%	0.99%	1.31%	0.68%
65	2.59%	3.01%	2.18%	1.07%	1.41%	0.74%
66	2.85%	3.29%	2.41%	1.15%	1.52%	0.8%
67	3.13%	3.6%	2.67%	1.25%	1.64%	0.87%
68	3.45%	3.94%	2.96%	1.34%	1.76%	0.95%
69	3.8%	4.31%	3.29%	1.45%	1.89%	1.04%
70	4.18%	4.72%	3.66%	1.57%	2.05%	1.14%
71	4.6%	5.17%	4.07%	1.7%	2.22%	1.25%
72	5.06%	5.67%	4.51%	1.84%	2.39%	1.36%
73	5.56%	6.2%	5%	1.99%	2.58%	1.47%
74	6.1%	6.79%	5.53%	2.16%	2.81%	1.61%
75	6.69%	7.44%	6.11%	2.36%	3.06%	1.77%
76	7.35%	8.14%	6.76%	2.59%	3.34%	1.95%
77	8.09%	8.91%	7.49%	2.86%	3.67%	2.18%
78	8.92%	9.74%	8.31%	3.2%	4.08%	2.47%
79	9.84%	10.7%	9.22%	3.62%	4.58%	2.86%
80	10.9%	11.7%	10.2%	4.14%	5.17%	3.34%
81	11.9%	12.7%	11.3%	4.73%	5.84%	3.88%
82	13.1%	13.9%	12.4%	5.41%	6.62%	4.5%
83	14.3%	15.2%	13.6%	6.2%	7.52%	5.23%
84	15.6%	16.6%	14.9%	7.1%	8.54%	6.08%
85	17%	18.1%	16.2%	8.14%	9.7%	7.07%
86	18.5%	19.6%	17.6%	9.3%	11%	8.19%
87	20%	21.2%	19%	10.6%	12.4%	9.44%
88	21.6%	22.9%	20.6%	12%	13.9%	10.8%
89	23.2%	24.6%	22.2%	13.5%	15.5%	12.4%
90	24.9%	26.4%	23.9%	15.3%	17.3%	14.1%
91	26.7%	28.2%	25.7%	17.1%	19.3%	16%
92	28.5%	30%	27.5%	19.1%	21.5%	18%
93	30.3%	31.9%	29.3%	21.2%	23.8%	20.1%
94	32.1%	33.7%	31.1%	23.4%	26.1%	22.3%
95	33.9%	35.6%	32.9%	25.8%	28.3%	24.7%
96	35.7%	37.5%	34.8%	28.2%	30.7%	27.4%
97	37.5%	39.3%	36.6%	30.8%	33.1%	30%
98	39.3%	41.2%	38.4%	33.3%	35.5%	32.7%
99	41.1%	42.9%	40.2%	35.9%	38%	35.3%
100	42.9%	44.8%	42.1%	38.4%	40.4%	38%

Death rate by age in East Timor compared to Germany

In East Timor, the most common age of death is 0, compared to 88 in Germany. The median age of death is 73.7 in East Timor and 84.9 in Germany — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	East Timor			Germany
	Total	Male	Female	Total	Male	Female
0	3,499	3,888	3,084	272.1	292.4	250.7
1	309	313	306	28.1	30.9	25.2
2	232.9	242.1	223.1	10.5	11.5	9.45
3	176.7	188.5	164.1	9.02	9.63	8.37
4	135.9	148.5	122.8	8.66	9.05	8.24
5	106.9	119	94.4	7.93	8.39	7.44
6	86.7	97.7	75.3	6.95	7.77	6.09
7	73	82.8	62.9	6.15	7.21	5.03
8	64.2	72.9	55.2	5.72	6.72	4.66
9	59.1	66.8	51	5.65	6.45	4.81
10	56.9	64.1	49.5	5.9	6.44	5.33
11	57.4	64.3	50.2	6.24	6.37	6.1
12	60.2	67.3	52.8	6.86	6.73	7
13	65.5	73.3	57.3	7.88	8.01	7.75
14	73.1	82.3	63.4	9.57	10.4	8.68
15	82.8	94.2	71	12.3	14.2	10.3
16	94.3	108.4	79.6	15.9	19.4	12.3
17	106.6	124	88.7	20	25.8	13.9
18	118.9	139.6	97.5	23.5	31.7	14.8
19	130.1	153.7	105.6	25.9	35.6	15.7
20	139.4	165.1	112.6	26.7	37.1	15.8
21	146.4	173.1	118.7	26.3	37	14.9
22	151.2	177.6	123.9	26.4	37.2	14.9
23	154.3	179.1	128.7	26.9	37.8	15.3
24	156.1	178.5	133.1	27.6	38.7	15.5
25	157.4	176.9	137.4	28.4	39.7	15.9
26	158.8	175.4	141.7	29.3	40.4	17.1
27	160.7	174.8	146.2	30.7	41.4	18.8
28	163.4	175.6	150.9	32.8	43.4	21.1
29	167.1	178.2	155.9	35.6	46.4	23.7
30	171.9	182.4	161.4	39.3	50.6	26.8
31	177.8	188.2	167.4	42.8	55.3	29.2
32	184.7	195.3	174.2	45.6	59.7	30.4
33	192.6	203.5	181.8	48.6	63.3	32.6
34	201.4	212.8	190.1	52	67.3	35.7
35	211.3	223.2	199.4	56.1	72.7	38.3
36	222.3	235	209.5	60.6	78.8	41.2
37	234.5	248.4	220.6	65.9	85	45.5
38	248.2	263.6	232.5	71.6	91.5	50.5
39	263.6	281.1	245.5	78.3	100	55.4
40	280.8	301	259.8	85.7	110	60.3
41	300	324	275.7	93.1	119.6	65.5
42	322	349	293.5	101.2	129.5	71.9
43	346	378	313	110.3	140.1	79.7
44	374	410	336	122.4	155.5	88.6
45	404	446	360	136.6	174	98.6
46	437	484	388	151.7	192.5	110.2
47	473	526	417	168.6	212.6	123.8
48	513	571	450	188.4	236.8	139.2
49	556	620	484	210.5	264.2	155.7
50	601	672	521	233.2	293	172.4
51	650	729	560	258.5	326	190.2
52	703	791	601	289.5	367	210.7
53	759	858	645	325	414	234
54	820	931	692	363	464	259.6
55	886	1,010	742	404	516	288.7
56	957	1,094	798	448	572	319
57	1,033	1,183	859	494	633	350
58	1,114	1,275	927	543	698	382
59	1,199	1,371	1,003	595	764	420
60	1,290	1,471	1,087	651	833	461
61	1,387	1,573	1,178	708	908	500
62	1,489	1,680	1,277	767	987	539
63	1,596	1,790	1,383	831	1,071	584
64	1,709	1,904	1,498	896	1,152	634
65	1,828	2,022	1,621	956	1,224	683
66	1,956	2,143	1,753	1,022	1,300	738
67	2,090	2,266	1,895	1,090	1,379	796
68	2,229	2,390	2,047	1,159	1,456	858
69	2,370	2,513	2,207	1,233	1,539	927
70	2,511	2,633	2,373	1,318	1,634	1,006
71	2,649	2,747	2,540	1,408	1,734	1,090
72	2,779	2,853	2,703	1,493	1,827	1,171
73	2,899	2,948	2,859	1,584	1,925	1,256
74	3,004	3,028	3,004	1,689	2,037	1,352
75	3,095	3,089	3,139	1,806	2,160	1,460
76	3,173	3,130	3,261	1,932	2,286	1,580
77	3,235	3,146	3,368	2,079	2,428	1,731
78	3,277	3,135	3,456	2,260	2,596	1,926
79	3,292	3,094	3,517	2,480	2,794	2,173
80	3,273	3,023	3,540	2,730	3,010	2,459
81	3,211	2,920	3,514	2,993	3,228	2,764
82	3,104	2,785	3,432	3,262	3,444	3,084
83	2,951	2,618	3,294	3,533	3,652	3,423
84	2,757	2,421	3,104	3,797	3,839	3,771
85	2,529	2,199	2,872	4,040	3,987	4,115
86	2,277	1,957	2,611	4,241	4,074	4,432
87	2,009	1,703	2,331	4,374	4,081	4,691
88	1,736	1,447	2,042	4,432	4,016	4,871
89	1,467	1,200	1,751	4,410	3,874	4,969
90	1,209	969	1,468	4,295	3,645	4,964
91	971	762	1,199	4,088	3,356	4,836
92	760	582	953	3,784	3,017	4,563
93	578	433	737	3,396	2,625	4,175
94	427	312	553	2,953	2,195	3,710
95	306	218.2	403	2,484	1,763	3,192
96	213.1	147.9	285.4	2,022	1,369	2,656
97	143.8	97.1	196	1,583	1,024	2,118
98	94.1	61.6	130.5	1,184	736	1,611
99	59.7	37.8	84.2	850	506	1,173
100	0	0	0	393	135.7	625

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 East Timor and Germany 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
• East Timor vs Germany: Side-by-Side Comparison

By topic vs comparisons:

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