Life Expectancy in East Timor vs Equatorial Guinea (1950-2026)

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 Equatorial Guinea: 72.8 years vs 71 at 30, 78.6 vs 78.3 at 65, 85.7 vs 85.8 at 80 — significantly higher than the 68.3 vs 64.3 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 Equatorial Guinea.

Table

Current age, years	Total life expectancy, years
	East Timor			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
0	68.3	66.7	70.1	64.3	62.6	66.3
1	70.7	69.3	72.3	67.7	66.2	69.4
2	70.9	69.5	72.5	68.2	66.7	69.9
3	71.1	69.7	72.7	68.5	67	70.2
4	71.2	69.8	72.8	68.7	67.3	70.4
5	71.3	69.9	72.9	68.8	67.4	70.5
6	71.4	70	72.9	68.9	67.5	70.6
7	71.4	70	73	69	67.6	70.7
8	71.5	70.1	73	69.1	67.7	70.8
9	71.5	70.1	73.1	69.2	67.8	70.9
10	71.6	70.2	73.1	69.2	67.9	70.9
11	71.6	70.2	73.1	69.3	67.9	71
12	71.6	70.2	73.1	69.3	68	71
13	71.7	70.3	73.2	69.4	68	71.1
14	71.7	70.3	73.2	69.5	68.1	71.1
15	71.8	70.4	73.3	69.5	68.2	71.2
16	71.8	70.4	73.3	69.6	68.2	71.2
17	71.9	70.5	73.3	69.6	68.3	71.3
18	71.9	70.6	73.4	69.7	68.4	71.4
19	72	70.6	73.4	69.8	68.5	71.4
20	72.1	70.7	73.5	69.9	68.6	71.5
21	72.1	70.8	73.6	70	68.7	71.6
22	72.2	70.9	73.6	70.1	68.8	71.7
23	72.3	71	73.7	70.2	68.9	71.8
24	72.4	71.1	73.8	70.3	69.1	71.8
25	72.5	71.2	73.8	70.4	69.2	71.9
26	72.5	71.3	73.9	70.5	69.3	72
27	72.6	71.3	74	70.6	69.4	72.1
28	72.7	71.4	74	70.7	69.6	72.2
29	72.8	71.5	74.1	70.8	69.7	72.3
30	72.8	71.6	74.2	71	69.8	72.4
31	72.9	71.7	74.3	71.1	69.9	72.5
32	73	71.7	74.3	71.2	70.1	72.6
33	73.1	71.8	74.4	71.3	70.2	72.7
34	73.2	71.9	74.5	71.4	70.3	72.8
35	73.2	72	74.6	71.6	70.4	72.9
36	73.3	72.1	74.7	71.7	70.6	73
37	73.4	72.2	74.7	71.8	70.7	73.2
38	73.5	72.3	74.8	72	70.9	73.3
39	73.6	72.4	74.9	72.1	71	73.4
40	73.7	72.5	75	72.2	71.2	73.5
41	73.8	72.6	75.1	72.4	71.4	73.7
42	73.9	72.7	75.2	72.5	71.5	73.8
43	74	72.8	75.3	72.7	71.7	73.9
44	74.1	72.9	75.4	72.9	71.9	74.1
45	74.3	73.1	75.5	73.1	72.1	74.2
46	74.4	73.2	75.6	73.2	72.3	74.4
47	74.5	73.3	75.8	73.4	72.5	74.6
48	74.7	73.5	75.9	73.6	72.7	74.7
49	74.8	73.7	76	73.8	72.9	74.9
50	75	73.8	76.2	74	73.1	75.1
51	75.1	74	76.3	74.2	73.3	75.3
52	75.3	74.2	76.5	74.5	73.6	75.4
53	75.5	74.4	76.7	74.7	73.8	75.6
54	75.7	74.6	76.8	74.9	74.1	75.9
55	75.9	74.9	77	75.2	74.4	76.1
56	76.1	75.1	77.2	75.4	74.7	76.3
57	76.4	75.4	77.4	75.7	74.9	76.5
58	76.6	75.6	77.6	76	75.2	76.8
59	76.8	75.9	77.8	76.3	75.6	77
60	77.1	76.2	78	76.6	75.9	77.3
61	77.4	76.5	78.3	76.9	76.2	77.6
62	77.7	76.8	78.5	77.2	76.6	77.8
63	78	77.2	78.8	77.5	76.9	78.1
64	78.3	77.5	79.1	77.9	77.3	78.5
65	78.6	77.9	79.3	78.3	77.7	78.8
66	79	78.3	79.7	78.7	78.1	79.2
67	79.3	78.7	80	79	78.6	79.5
68	79.7	79.1	80.3	79.5	79	79.9
69	80.1	79.5	80.7	79.9	79.4	80.3
70	80.5	80	81.1	80.3	79.9	80.7
71	81	80.4	81.4	80.8	80.4	81.2
72	81.4	80.9	81.9	81.3	80.9	81.6
73	81.9	81.4	82.3	81.8	81.4	82.1
74	82.4	81.9	82.8	82.3	82	82.6
75	82.9	82.5	83.2	82.9	82.6	83.1
76	83.4	83	83.7	83.4	83.1	83.7
77	84	83.6	84.3	84	83.7	84.2
78	84.5	84.2	84.8	84.6	84.4	84.8
79	85.1	84.8	85.4	85.2	85	85.4
80	85.7	85.5	86	85.8	85.6	86
81	86.4	86.1	86.6	86.5	86.3	86.6
82	87	86.8	87.2	87.2	87	87.3
83	87.7	87.5	87.9	87.9	87.7	88
84	88.4	88.2	88.6	88.6	88.4	88.7
85	89.1	88.9	89.3	89.3	89.2	89.4
86	89.9	89.7	90	90	89.9	90.1
87	90.6	90.4	90.8	90.8	90.7	90.9
88	91.4	91.2	91.5	91.6	91.5	91.6
89	92.2	92	92.3	92.4	92.3	92.4
90	93	92.8	93.1	93.2	93.1	93.2
91	93.8	93.7	93.9	94	94	94
92	94.6	94.5	94.7	94.8	94.8	94.9
93	95.5	95.4	95.6	95.7	95.6	95.7
94	96.4	96.2	96.4	96.5	96.5	96.5
95	97.2	97.1	97.3	97.4	97.4	97.4
96	98.1	98	98.2	98.3	98.3	98.3
97	99	98.9	99.1	99.2	99.2	99.2
98	99.9	99.8	100	100.1	100.1	100.1
99	100.8	100.7	100.9	101	100.9	101
100	101.7	101.7	101.8	101.9	101.8	101.9

Odds of living to age in East Timor vs Equatorial Guinea

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 78.3% in East Timor and 71.2% in Equatorial Guinea are expected to survive till at least 60 years old, 60.4% and 53.1% will live to 70 years or older, 30.5% and 25.7% to 80+ years, and 4.95% and 4.44% 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			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
1	96.6%	96.2%	97%	95%	94.5%	95.5%
2	96.3%	95.9%	96.7%	94.3%	93.8%	94.9%
3	96.1%	95.7%	96.5%	93.9%	93.3%	94.5%
4	95.9%	95.5%	96.4%	93.6%	93%	94.2%
5	95.8%	95.3%	96.2%	93.4%	92.7%	94%
6	95.7%	95.2%	96.1%	93.2%	92.6%	93.8%
7	95.6%	95.1%	96.1%	93%	92.4%	93.7%
8	95.5%	95.1%	96%	92.9%	92.3%	93.6%
9	95.5%	95%	96%	92.8%	92.2%	93.5%
10	95.4%	94.9%	95.9%	92.7%	92.1%	93.4%
11	95.3%	94.9%	95.9%	92.6%	92%	93.3%
12	95.3%	94.8%	95.8%	92.6%	91.9%	93.2%
13	95.2%	94.7%	95.8%	92.5%	91.8%	93.2%
14	95.2%	94.7%	95.7%	92.4%	91.7%	93.1%
15	95.1%	94.6%	95.6%	92.3%	91.6%	93%
16	95%	94.5%	95.6%	92.2%	91.5%	92.9%
17	94.9%	94.4%	95.5%	92%	91.3%	92.8%
18	94.8%	94.2%	95.4%	91.9%	91.2%	92.7%
19	94.7%	94.1%	95.3%	91.8%	91%	92.5%
20	94.6%	94%	95.2%	91.6%	90.8%	92.4%
21	94.4%	93.8%	95.1%	91.4%	90.6%	92.3%
22	94.3%	93.6%	95%	91.2%	90.3%	92.1%
23	94.1%	93.5%	94.9%	91%	90.1%	92%
24	94%	93.3%	94.7%	90.8%	89.9%	91.8%
25	93.8%	93.1%	94.6%	90.6%	89.6%	91.6%
26	93.7%	92.9%	94.5%	90.4%	89.4%	91.4%
27	93.5%	92.8%	94.3%	90.2%	89.1%	91.3%
28	93.4%	92.6%	94.2%	89.9%	88.9%	91.1%
29	93.2%	92.4%	94%	89.7%	88.6%	90.9%
30	93%	92.2%	93.9%	89.5%	88.3%	90.7%
31	92.9%	92%	93.7%	89.2%	88.1%	90.4%
32	92.7%	91.9%	93.6%	89%	87.8%	90.2%
33	92.5%	91.7%	93.4%	88.7%	87.5%	90%
34	92.3%	91.5%	93.2%	88.4%	87.2%	89.7%
35	92.1%	91.3%	93%	88.1%	86.8%	89.5%
36	91.9%	91%	92.8%	87.8%	86.5%	89.2%
37	91.7%	90.8%	92.6%	87.5%	86.1%	88.9%
38	91.5%	90.6%	92.4%	87.1%	85.7%	88.6%
39	91.2%	90.3%	92.2%	86.7%	85.3%	88.3%
40	91%	90%	91.9%	86.4%	84.9%	88%
41	90.7%	89.7%	91.7%	85.9%	84.4%	87.6%
42	90.4%	89.4%	91.4%	85.5%	84%	87.2%
43	90.1%	89.1%	91.1%	85.1%	83.5%	86.8%
44	89.7%	88.7%	90.8%	84.6%	82.9%	86.4%
45	89.3%	88.3%	90.5%	84.1%	82.4%	86%
46	88.9%	87.8%	90.1%	83.5%	81.8%	85.5%
47	88.5%	87.3%	89.7%	82.9%	81.2%	85.1%
48	88%	86.8%	89.3%	82.3%	80.5%	84.5%
49	87.5%	86.3%	88.9%	81.7%	79.8%	84%
50	87%	85.6%	88.4%	81%	79%	83.4%
51	86.4%	85%	87.9%	80.3%	78.2%	82.8%
52	85.7%	84.2%	87.3%	79.5%	77.3%	82.1%
53	85%	83.5%	86.7%	78.6%	76.4%	81.4%
54	84.3%	82.6%	86.1%	77.7%	75.4%	80.7%
55	83.5%	81.7%	85.4%	76.8%	74.4%	79.8%
56	82.6%	80.7%	84.7%	75.8%	73.3%	79%
57	81.6%	79.6%	83.9%	74.8%	72.2%	78.1%
58	80.6%	78.4%	83%	73.6%	70.9%	77.1%
59	79.5%	77.1%	82.1%	72.5%	69.6%	76.1%
60	78.3%	75.8%	81.1%	71.2%	68.3%	74.9%
61	77%	74.3%	80%	69.8%	66.8%	73.7%
62	75.7%	72.7%	78.9%	68.4%	65.2%	72.4%
63	74.2%	71.1%	77.6%	66.8%	63.6%	71%
64	72.6%	69.3%	76.2%	65.2%	61.8%	69.5%
65	70.9%	67.4%	74.7%	63.4%	60%	67.9%
66	69%	65.4%	73.1%	61.6%	58%	66.1%
67	67.1%	63.2%	71.4%	59.6%	56%	64.3%
68	65%	61%	69.5%	57.6%	53.8%	62.3%
69	62.8%	58.6%	67.4%	55.4%	51.6%	60.2%
70	60.4%	56.1%	65.2%	53.1%	49.3%	58%
71	57.9%	53.4%	62.9%	50.7%	46.8%	55.6%
72	55.3%	50.7%	60.3%	48.2%	44.3%	53.1%
73	52.5%	47.8%	57.6%	45.6%	41.7%	50.4%
74	49.6%	44.9%	54.8%	42.9%	39%	47.6%
75	46.6%	41.8%	51.8%	40.1%	36.3%	44.7%
76	43.5%	38.7%	48.6%	37.3%	33.5%	41.8%
77	40.3%	35.6%	45.4%	34.4%	30.7%	38.7%
78	37%	32.5%	42%	31.5%	28%	35.7%
79	33.8%	29.3%	38.5%	28.6%	25.2%	32.6%
80	30.5%	26.2%	35%	25.7%	22.6%	29.5%
81	27.2%	23.2%	31.4%	22.9%	19.9%	26.4%
82	24%	20.2%	27.9%	20.2%	17.5%	23.5%
83	20.8%	17.4%	24.5%	17.6%	15.1%	20.6%
84	17.9%	14.8%	21.2%	15.2%	12.9%	17.8%
85	15.1%	12.3%	18%	12.8%	10.8%	15.2%
86	12.5%	10.1%	15.1%	10.7%	8.96%	12.7%
87	10.2%	8.15%	12.5%	8.83%	7.31%	10.5%
88	8.2%	6.42%	10.1%	7.14%	5.86%	8.58%
89	6.44%	4.96%	8.05%	5.68%	4.62%	6.87%
90	4.95%	3.74%	6.28%	4.44%	3.58%	5.4%
91	3.72%	2.76%	4.78%	3.4%	2.72%	4.15%
92	2.73%	1.98%	3.56%	2.56%	2.03%	3.14%
93	1.96%	1.39%	2.59%	1.88%	1.48%	2.32%
94	1.37%	0.95%	1.83%	1.35%	1.06%	1.67%
95	0.93%	0.63%	1.26%	0.95%	0.74%	1.18%
96	0.62%	0.41%	0.85%	0.65%	0.5%	0.81%
97	0.4%	0.25%	0.56%	0.43%	0.33%	0.54%
98	0.25%	0.15%	0.35%	0.28%	0.22%	0.35%
99	0.15%	0.09%	0.22%	0.18%	0.14%	0.22%
100	0.09%	0.05%	0.13%	0.11%	0.08%	0.14%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 3.39% in the birth year in East Timor and 4.97% in Equatorial Guinea, 0.18% vs 0.28% at age 30, 1.64% vs 1.92% at 60, and 10.8% vs 11% at 80.

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

Table

Age	Probability of dying
	East Timor			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
0	3.39%	3.78%	2.97%	4.97%	5.49%	4.45%
1	0.31%	0.32%	0.31%	0.76%	0.8%	0.72%
2	0.24%	0.25%	0.22%	0.46%	0.49%	0.44%
3	0.18%	0.19%	0.17%	0.32%	0.34%	0.3%
4	0.14%	0.15%	0.12%	0.23%	0.25%	0.22%
5	0.11%	0.12%	0.1%	0.18%	0.19%	0.16%
6	0.09%	0.1%	0.08%	0.15%	0.16%	0.13%
7	0.07%	0.09%	0.06%	0.13%	0.14%	0.11%
8	0.07%	0.08%	0.06%	0.11%	0.12%	0.1%
9	0.06%	0.07%	0.05%	0.1%	0.11%	0.09%
10	0.06%	0.07%	0.05%	0.1%	0.1%	0.09%
11	0.06%	0.07%	0.05%	0.09%	0.1%	0.08%
12	0.06%	0.07%	0.05%	0.09%	0.1%	0.09%
13	0.07%	0.08%	0.06%	0.1%	0.11%	0.09%
14	0.08%	0.09%	0.06%	0.11%	0.12%	0.1%
15	0.09%	0.1%	0.07%	0.12%	0.13%	0.11%
16	0.1%	0.11%	0.08%	0.14%	0.15%	0.12%
17	0.11%	0.13%	0.09%	0.15%	0.18%	0.13%
18	0.12%	0.15%	0.1%	0.17%	0.2%	0.14%
19	0.13%	0.16%	0.11%	0.18%	0.22%	0.15%
20	0.14%	0.17%	0.12%	0.19%	0.23%	0.15%
21	0.15%	0.18%	0.12%	0.21%	0.25%	0.16%
22	0.16%	0.19%	0.13%	0.22%	0.26%	0.17%
23	0.16%	0.19%	0.13%	0.22%	0.27%	0.18%
24	0.16%	0.19%	0.14%	0.23%	0.27%	0.18%
25	0.17%	0.19%	0.14%	0.24%	0.28%	0.19%
26	0.17%	0.19%	0.15%	0.24%	0.28%	0.2%
27	0.17%	0.19%	0.15%	0.25%	0.29%	0.21%
28	0.17%	0.19%	0.16%	0.26%	0.3%	0.22%
29	0.18%	0.19%	0.16%	0.27%	0.31%	0.23%
30	0.18%	0.2%	0.17%	0.28%	0.32%	0.24%
31	0.19%	0.2%	0.18%	0.29%	0.33%	0.25%
32	0.2%	0.21%	0.18%	0.31%	0.35%	0.26%
33	0.21%	0.22%	0.19%	0.32%	0.36%	0.27%
34	0.22%	0.23%	0.2%	0.34%	0.38%	0.29%
35	0.23%	0.24%	0.21%	0.36%	0.4%	0.31%
36	0.24%	0.26%	0.22%	0.38%	0.42%	0.32%
37	0.25%	0.27%	0.23%	0.4%	0.44%	0.34%
38	0.27%	0.29%	0.25%	0.42%	0.47%	0.36%
39	0.29%	0.31%	0.26%	0.45%	0.5%	0.38%
40	0.31%	0.33%	0.28%	0.48%	0.53%	0.41%
41	0.33%	0.36%	0.3%	0.5%	0.56%	0.42%
42	0.35%	0.39%	0.32%	0.54%	0.6%	0.45%
43	0.38%	0.42%	0.34%	0.57%	0.63%	0.48%
44	0.41%	0.46%	0.37%	0.6%	0.67%	0.5%
45	0.45%	0.5%	0.39%	0.64%	0.72%	0.53%
46	0.49%	0.55%	0.43%	0.68%	0.77%	0.56%
47	0.53%	0.6%	0.46%	0.73%	0.82%	0.6%
48	0.58%	0.65%	0.5%	0.79%	0.89%	0.65%
49	0.63%	0.71%	0.54%	0.84%	0.95%	0.69%
50	0.69%	0.78%	0.58%	0.92%	1.04%	0.75%
51	0.75%	0.85%	0.63%	0.97%	1.1%	0.8%
52	0.81%	0.93%	0.68%	1.06%	1.2%	0.87%
53	0.89%	1.02%	0.74%	1.13%	1.28%	0.93%
54	0.97%	1.12%	0.8%	1.21%	1.37%	1%
55	1.06%	1.23%	0.86%	1.3%	1.47%	1.07%
56	1.15%	1.35%	0.94%	1.39%	1.57%	1.16%
57	1.26%	1.48%	1.02%	1.49%	1.69%	1.24%
58	1.37%	1.62%	1.11%	1.62%	1.83%	1.36%
59	1.5%	1.77%	1.21%	1.74%	1.97%	1.47%
60	1.64%	1.93%	1.33%	1.92%	2.17%	1.64%
61	1.79%	2.11%	1.46%	2.06%	2.32%	1.76%
62	1.96%	2.3%	1.61%	2.27%	2.55%	1.95%
63	2.15%	2.51%	1.77%	2.46%	2.77%	2.13%
64	2.35%	2.74%	1.96%	2.68%	3%	2.34%
65	2.57%	3%	2.16%	2.93%	3.26%	2.57%
66	2.82%	3.27%	2.39%	3.15%	3.51%	2.79%
67	3.1%	3.58%	2.65%	3.44%	3.81%	3.06%
68	3.42%	3.92%	2.94%	3.77%	4.15%	3.38%
69	3.77%	4.29%	3.26%	4.1%	4.51%	3.7%
70	4.15%	4.69%	3.63%	4.55%	4.97%	4.16%
71	4.57%	5.14%	4.03%	4.89%	5.34%	4.49%
72	5.03%	5.63%	4.47%	5.43%	5.91%	5.02%
73	5.53%	6.17%	4.96%	5.93%	6.43%	5.49%
74	6.07%	6.76%	5.48%	6.49%	7.01%	6.04%
75	6.66%	7.4%	6.06%	7.11%	7.64%	6.65%
76	7.32%	8.1%	6.71%	7.74%	8.3%	7.26%
77	8.04%	8.86%	7.43%	8.41%	8.99%	7.9%
78	8.86%	9.69%	8.25%	9.23%	9.82%	8.71%
79	9.77%	10.6%	9.15%	9.99%	10.6%	9.46%
80	10.8%	11.6%	10.2%	11%	11.6%	10.4%
81	11.9%	12.7%	11.2%	11.7%	12.4%	11.2%
82	13%	13.9%	12.4%	12.9%	13.6%	12.4%
83	14.3%	15.1%	13.6%	14%	14.7%	13.5%
84	15.6%	16.5%	14.8%	15.2%	16%	14.7%
85	16.9%	18%	16.1%	16.4%	17.1%	16%
86	18.4%	19.5%	17.5%	17.8%	18.5%	17.3%
87	19.9%	21.1%	18.9%	19.1%	19.7%	18.6%
88	21.5%	22.8%	20.4%	20.5%	21.1%	20%
89	23.1%	24.5%	22.1%	21.8%	22.5%	21.4%
90	24.8%	26.3%	23.8%	23.5%	24.1%	23.1%
91	26.6%	28.1%	25.6%	24.7%	25.3%	24.4%
92	28.4%	29.9%	27.4%	26.5%	27.1%	26.2%
93	30.2%	31.8%	29.2%	28.2%	28.6%	27.9%
94	32%	33.6%	31%	29.9%	30.3%	29.6%
95	33.8%	35.5%	32.8%	31.7%	32%	31.5%
96	35.6%	37.4%	34.6%	33.4%	33.6%	33.3%
97	37.4%	39.2%	36.4%	35%	35.2%	34.9%
98	39.2%	41.1%	38.3%	36.6%	36.6%	36.6%
99	41%	42.9%	40.1%	38.5%	38.4%	38.5%
100	42.8%	44.7%	41.9%	40%	39.9%	40.2%

Death rate by age in East Timor compared to Equatorial Guinea

In East Timor, the most common age of death is 0, compared to 0 in Equatorial Guinea. The median age of death is 73.9 in East Timor and 71.3 in Equatorial Guinea — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	East Timor			Equatorial Guinea
	Total	Male	Female	Total	Male	Female
0	3,388	3,779	2,971	4,972	5,488	4,450
1	301	306	296.6	721	757	684
2	227.1	237.1	216.5	438	462	414
3	172.5	184.8	159.4	302	320	283.2
4	132.9	145.7	119.4	216.1	228.6	203.1
5	104.6	116.8	91.9	165.2	175.6	154.5
6	84.9	96	73.4	136.7	146.4	126.6
7	71.5	81.4	61.3	116.8	126.1	107.2
8	62.9	71.6	53.8	102.6	111.3	93.6
9	57.8	65.7	49.8	93.4	101.8	84.8
10	55.7	62.9	48.3	88.2	95.9	80.2
11	56.2	63.1	48.9	86	93.2	78.5
12	59	66.1	51.5	87.4	94.8	79.8
13	64.2	72.1	55.9	92	100.1	83.7
14	71.6	80.9	61.9	100.1	109.7	90.2
15	81.3	92.6	69.4	111	122.7	99
16	92.5	106.7	77.8	125.5	141.2	109.3
17	104.7	122.1	86.7	139.7	160.6	118.1
18	116.8	137.5	95.3	154.8	181.3	127.5
19	127.8	151.5	103.2	167.2	197.9	135.3
20	137	162.8	110.2	178.3	212.5	142.7
21	143.9	170.7	116.1	187.9	224.3	149
22	148.8	175.2	121.3	196.5	233.5	155.8
23	151.8	176.7	126	203.3	239.9	162.3
24	153.7	176.2	130.4	209.3	244.6	169.2
25	155	174.7	134.7	214.4	248.1	175.8
26	156.3	173.3	139	220.1	252.2	182.9
27	158.3	172.7	143.4	226.2	257	190.2
28	161	173.6	148.1	233.5	263.4	198.5
29	164.8	176.2	153	241	270.6	205.9
30	169.5	180.5	158.5	251.6	281.1	216.4
31	175.4	186.3	164.5	258.6	288.5	222.6
32	182.2	193.3	171.2	272.6	303	235.5
33	190	201.5	178.6	284.9	316	246.7
34	198.8	210.7	186.9	298.6	330	259
35	208.5	221	196.1	315	347	273
36	219.4	232.7	206.2	331	364	287.2
37	231.6	246	217.1	348	382	301
38	245.2	261.2	229	369	404	320
39	260.5	278.6	242	388	424	336
40	277.7	298.5	256.3	414	452	358
41	297	321	272.2	430	470	371
42	319	347	289.8	461	503	397
43	343	375	310	482	527	413
44	370	407	332	509	558	434
45	400	442	356	542	595	460
46	433	481	383	570	627	482
47	469	522	413	605	667	510
48	508	567	445	648	714	546
49	550	616	479	690	761	580
50	596	668	516	745	821	629
51	645	725	555	782	861	660
52	698	787	596	843	926	717
53	755	854	640	890	978	758
54	815	927	686	944	1,036	809
55	881	1,005	737	995	1,091	858
56	951	1,089	792	1,054	1,154	915
57	1,027	1,177	853	1,112	1,216	971
58	1,108	1,270	921	1,189	1,297	1,047
59	1,194	1,366	997	1,264	1,375	1,120
60	1,285	1,465	1,080	1,370	1,481	1,230
61	1,382	1,568	1,171	1,435	1,549	1,296
62	1,484	1,675	1,270	1,551	1,664	1,415
63	1,592	1,785	1,377	1,647	1,758	1,515
64	1,705	1,900	1,491	1,748	1,855	1,624
65	1,824	2,018	1,614	1,856	1,957	1,743
66	1,950	2,139	1,746	1,942	2,034	1,844
67	2,083	2,263	1,889	2,052	2,134	1,968
68	2,223	2,387	2,041	2,168	2,237	2,107
69	2,366	2,511	2,201	2,271	2,326	2,229
70	2,509	2,632	2,368	2,420	2,451	2,412
71	2,648	2,747	2,535	2,482	2,500	2,494
72	2,781	2,855	2,699	2,622	2,618	2,661
73	2,903	2,951	2,856	2,705	2,680	2,769
74	3,011	3,032	3,003	2,787	2,735	2,879
75	3,104	3,095	3,139	2,854	2,773	2,974
76	3,180	3,138	3,263	2,887	2,781	3,032
77	3,240	3,155	3,372	2,893	2,762	3,062
78	3,282	3,146	3,463	2,908	2,748	3,108
79	3,299	3,108	3,527	2,857	2,677	3,081
80	3,282	3,038	3,553	2,820	2,614	3,078
81	3,224	2,937	3,530	2,685	2,471	2,956
82	3,121	2,803	3,452	2,609	2,375	2,904
83	2,972	2,637	3,316	2,466	2,220	2,772
84	2,780	2,442	3,129	2,311	2,057	2,621
85	2,553	2,220	2,899	2,111	1,853	2,419
86	2,301	1,977	2,639	1,906	1,654	2,202
87	2,034	1,723	2,360	1,682	1,443	1,958
88	1,760	1,466	2,070	1,461	1,239	1,716
89	1,489	1,217	1,778	1,240	1,040	1,468
90	1,230	984	1,493	1,044	863	1,249
91	990	775	1,222	841	690	1,012
92	775	593	974	678	550	822
93	591	441	754	529	425	646
94	437	319	567	404	320	496
95	314	223.2	415	300	236.2	371
96	219.3	151.6	294.2	216	168.5	268.1
97	148.3	99.6	202.6	150.8	116.9	188
98	97.3	63.4	135.2	102.3	78.9	128
99	61.8	39	87.4	68.2	52.5	85.6
100	0	0	0	0	0	0

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 Equatorial Guinea 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 Equatorial Guinea: Numbers and Trends

By topic vs comparisons:

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