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

Life expectancy by current age

Chart Table

East Timor

Male

Female

Equatorial Guinea

Male

Female

1x

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

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 71 in Equatorial Guinea, rising to 78.6 and 78.3 at 65, and to 85.7 and 85.8 at 80 — higher than the 68.3 and 64.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

East Timor

Male

Female

Equatorial Guinea

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 78.3% of newborns in East Timor and 71.2% in Equatorial Guinea are expected to live past 60, 60.4% and 53.1% past 70, 30.5% and 25.7% past 80, and only 4.95% and 4.44% 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

Equatorial Guinea

Male

Female

1x

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

This chart displays the probability of dying at any given age in East Timor compared to Equatorial Guinea, as 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.

Death rate by age in East Timor vs Equatorial Guinea

Chart Table

East Timor

Male

Female

Equatorial Guinea

Male

Female

1x

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

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 0 in Equatorial Guinea. The median age of death is 73.9 in East Timor and 71.3 in Equatorial Guinea, 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 Equatorial Guinea more than their death rates.

Life expectancy in other countries

+ -

1x