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

Life expectancy by current age

Chart Table

East Timor

Male

Female

Guinea-Bissau

Male

Female

1x

Current age, years	Total life expectancy, years
	East Timor			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	101.7	101.7	101.8	102	101.9	102.1
99	100.8	100.7	100.9	101.1	101	101.2
98	99.9	99.8	100	100.2	100.1	100.3
97	99	98.9	99.1	99.3	99.2	99.4
96	98.1	98	98.2	98.4	98.3	98.5
95	97.2	97.1	97.3	97.6	97.4	97.6
94	96.4	96.2	96.4	96.7	96.6	96.8
93	95.5	95.4	95.6	95.9	95.7	95.9
92	94.6	94.5	94.7	95	94.9	95.1
91	93.8	93.7	93.9	94.2	94	94.3
90	93	92.8	93.1	93.4	93.2	93.5
89	92.2	92	92.3	92.6	92.4	92.7
88	91.4	91.2	91.5	91.8	91.6	92
87	90.6	90.4	90.8	91	90.8	91.2
86	89.9	89.7	90	90.3	90	90.4
85	89.1	88.9	89.3	89.5	89.3	89.7
84	88.4	88.2	88.6	88.8	88.5	89
83	87.7	87.5	87.9	88.1	87.8	88.3
82	87	86.8	87.2	87.4	87.1	87.7
81	86.4	86.1	86.6	86.8	86.4	87
80	85.7	85.5	86	86.1	85.7	86.4
79	85.1	84.8	85.4	85.5	85.1	85.8
78	84.5	84.2	84.8	84.9	84.4	85.2
77	84	83.6	84.3	84.3	83.8	84.7
76	83.4	83	83.7	83.7	83.2	84.1
75	82.9	82.5	83.2	83.2	82.6	83.6
74	82.4	81.9	82.8	82.7	82.1	83.1
73	81.9	81.4	82.3	82.2	81.5	82.6
72	81.4	80.9	81.9	81.7	81	82.1
71	81	80.4	81.4	81.2	80.5	81.7
70	80.5	80	81.1	80.7	80	81.3
69	80.1	79.5	80.7	80.3	79.5	80.9
68	79.7	79.1	80.3	79.9	79.1	80.5
67	79.3	78.7	80	79.5	78.6	80.1
66	79	78.3	79.7	79.1	78.2	79.8
65	78.6	77.9	79.3	78.7	77.8	79.4
64	78.3	77.5	79.1	78.4	77.4	79.1
63	78	77.2	78.8	78	77	78.8
62	77.7	76.8	78.5	77.7	76.6	78.5
61	77.4	76.5	78.3	77.4	76.3	78.2
60	77.1	76.2	78	77.1	75.9	78
59	76.8	75.9	77.8	76.8	75.6	77.7
58	76.6	75.6	77.6	76.5	75.3	77.5
57	76.4	75.4	77.4	76.3	75	77.2
56	76.1	75.1	77.2	76	74.7	77
55	75.9	74.9	77	75.7	74.4	76.8
54	75.7	74.6	76.8	75.5	74.1	76.6
53	75.5	74.4	76.7	75.2	73.8	76.4
52	75.3	74.2	76.5	75	73.5	76.2
51	75.1	74	76.3	74.8	73.3	76
50	75	73.8	76.2	74.6	73	75.8
49	74.8	73.7	76	74.4	72.8	75.6
48	74.7	73.5	75.9	74.2	72.6	75.5
47	74.5	73.3	75.8	74	72.4	75.3
46	74.4	73.2	75.6	73.8	72.1	75.1
45	74.3	73.1	75.5	73.6	71.9	75
44	74.1	72.9	75.4	73.4	71.7	74.8
43	74	72.8	75.3	73.3	71.5	74.7
42	73.9	72.7	75.2	73.1	71.4	74.6
41	73.8	72.6	75.1	72.9	71.2	74.4
40	73.7	72.5	75	72.8	71	74.3
39	73.6	72.4	74.9	72.6	70.8	74.2
38	73.5	72.3	74.8	72.5	70.7	74
37	73.4	72.2	74.7	72.3	70.5	73.9
36	73.3	72.1	74.7	72.2	70.3	73.8
35	73.2	72	74.6	72	70.2	73.7
34	73.2	71.9	74.5	71.9	70	73.5
33	73.1	71.8	74.4	71.8	69.9	73.4
32	73	71.7	74.3	71.7	69.7	73.3
31	72.9	71.7	74.3	71.5	69.6	73.2
30	72.8	71.6	74.2	71.4	69.5	73.1
29	72.8	71.5	74.1	71.3	69.3	73
28	72.7	71.4	74	71.2	69.2	72.9
27	72.6	71.3	74	71.1	69.1	72.8
26	72.5	71.3	73.9	70.9	68.9	72.7
25	72.5	71.2	73.8	70.8	68.8	72.6
24	72.4	71.1	73.8	70.7	68.7	72.5
23	72.3	71	73.7	70.6	68.5	72.4
22	72.2	70.9	73.6	70.5	68.4	72.4
21	72.1	70.8	73.6	70.4	68.3	72.3
20	72.1	70.7	73.5	70.3	68.2	72.2
19	72	70.6	73.4	70.2	68.1	72.1
18	71.9	70.6	73.4	70.1	68	72
17	71.9	70.5	73.3	70	67.9	72
16	71.8	70.4	73.3	69.9	67.8	71.9
15	71.8	70.4	73.3	69.9	67.7	71.8
14	71.7	70.3	73.2	69.8	67.6	71.8
13	71.7	70.3	73.2	69.7	67.6	71.7
12	71.6	70.2	73.1	69.7	67.5	71.7
11	71.6	70.2	73.1	69.6	67.4	71.6
10	71.6	70.2	73.1	69.6	67.4	71.5
9	71.5	70.1	73.1	69.5	67.3	71.5
8	71.5	70.1	73	69.4	67.2	71.4
7	71.4	70	73	69.3	67.1	71.3
6	71.4	70	72.9	69.2	67	71.2
5	71.3	69.9	72.9	69.1	66.9	71.1
4	71.2	69.8	72.8	68.9	66.7	70.9
3	71.1	69.7	72.7	68.7	66.5	70.7
2	70.9	69.5	72.5	68.3	66.1	70.4
1	70.7	69.3	72.3	67.7	65.5	69.8
0	68.3	66.7	70.1	64.6	62.1	66.9

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 71.4 in Guinea-Bissau, rising to 78.6 and 78.7 at 65, and to 85.7 and 86.1 at 80 — higher than the 68.3 and 64.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

East Timor

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Survival probability
	East Timor			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	0.09%	0.05%	0.13%	0.17%	0.1%	0.25%
99	0.15%	0.09%	0.22%	0.27%	0.15%	0.39%
98	0.25%	0.15%	0.35%	0.41%	0.24%	0.58%
97	0.4%	0.25%	0.56%	0.61%	0.36%	0.85%
96	0.62%	0.41%	0.85%	0.89%	0.54%	1.23%
95	0.93%	0.63%	1.26%	1.27%	0.79%	1.73%
94	1.37%	0.95%	1.83%	1.76%	1.12%	2.37%
93	1.96%	1.39%	2.59%	2.4%	1.55%	3.18%
92	2.73%	1.98%	3.56%	3.19%	2.11%	4.18%
91	3.72%	2.76%	4.78%	4.14%	2.81%	5.38%
90	4.95%	3.74%	6.28%	5.32%	3.67%	6.82%
89	6.44%	4.96%	8.05%	6.68%	4.71%	8.48%
88	8.2%	6.42%	10.1%	8.27%	5.94%	10.4%
87	10.2%	8.15%	12.5%	10.1%	7.36%	12.5%
86	12.5%	10.1%	15.1%	12.1%	8.99%	14.9%
85	15.1%	12.3%	18%	14.3%	10.8%	17.4%
84	17.9%	14.8%	21.2%	16.7%	12.8%	20.2%
83	20.8%	17.4%	24.5%	19.3%	15%	23%
82	24%	20.2%	27.9%	21.9%	17.3%	26%
81	27.2%	23.2%	31.4%	24.7%	19.7%	28.9%
80	30.5%	26.2%	35%	27.5%	22.3%	32%
79	33.8%	29.3%	38.5%	30.4%	24.9%	35.1%
78	37%	32.5%	42%	33.2%	27.5%	38.1%
77	40.3%	35.6%	45.4%	36.1%	30.2%	41.1%
76	43.5%	38.7%	48.6%	38.9%	32.9%	44.1%
75	46.6%	41.8%	51.8%	41.7%	35.6%	46.9%
74	49.6%	44.9%	54.8%	44.4%	38.3%	49.7%
73	52.5%	47.8%	57.6%	47%	40.9%	52.4%
72	55.3%	50.7%	60.3%	49.6%	43.5%	54.9%
71	57.9%	53.4%	62.9%	51.9%	45.9%	57.3%
70	60.4%	56.1%	65.2%	54.3%	48.3%	59.6%
69	62.8%	58.6%	67.4%	56.4%	50.6%	61.7%
68	65%	61%	69.5%	58.5%	52.8%	63.6%
67	67.1%	63.2%	71.4%	60.4%	54.9%	65.5%
66	69%	65.4%	73.1%	62.2%	56.9%	67.2%
65	70.9%	67.4%	74.7%	64%	58.8%	68.8%
64	72.6%	69.3%	76.2%	65.6%	60.6%	70.4%
63	74.2%	71.1%	77.6%	67.2%	62.4%	71.8%
62	75.7%	72.7%	78.9%	68.6%	64%	73.1%
61	77%	74.3%	80%	70%	65.6%	74.3%
60	78.3%	75.8%	81.1%	71.3%	67.1%	75.4%
59	79.5%	77.1%	82.1%	72.5%	68.4%	76.5%
58	80.6%	78.4%	83%	73.6%	69.7%	77.5%
57	81.6%	79.6%	83.9%	74.7%	70.9%	78.4%
56	82.6%	80.7%	84.7%	75.7%	72.1%	79.2%
55	83.5%	81.7%	85.4%	76.6%	73.2%	80%
54	84.3%	82.6%	86.1%	77.5%	74.3%	80.8%
53	85%	83.5%	86.7%	78.4%	75.3%	81.5%
52	85.7%	84.2%	87.3%	79.2%	76.2%	82.2%
51	86.4%	85%	87.9%	79.9%	77.1%	82.8%
50	87%	85.6%	88.4%	80.7%	78%	83.4%
49	87.5%	86.3%	88.9%	81.3%	78.8%	84%
48	88%	86.8%	89.3%	82%	79.5%	84.5%
47	88.5%	87.3%	89.7%	82.6%	80.2%	85%
46	88.9%	87.8%	90.1%	83.1%	80.9%	85.4%
45	89.3%	88.3%	90.5%	83.7%	81.5%	85.9%
44	89.7%	88.7%	90.8%	84.2%	82.1%	86.3%
43	90.1%	89.1%	91.1%	84.7%	82.7%	86.7%
42	90.4%	89.4%	91.4%	85.1%	83.2%	87.1%
41	90.7%	89.7%	91.7%	85.6%	83.7%	87.5%
40	91%	90%	91.9%	86%	84.2%	87.8%
39	91.2%	90.3%	92.2%	86.4%	84.7%	88.1%
38	91.5%	90.6%	92.4%	86.8%	85.1%	88.5%
37	91.7%	90.8%	92.6%	87.1%	85.5%	88.8%
36	91.9%	91%	92.8%	87.5%	85.9%	89%
35	92.1%	91.3%	93%	87.8%	86.3%	89.3%
34	92.3%	91.5%	93.2%	88.1%	86.7%	89.6%
33	92.5%	91.7%	93.4%	88.4%	87%	89.8%
32	92.7%	91.9%	93.6%	88.7%	87.4%	90.1%
31	92.9%	92%	93.7%	89%	87.7%	90.3%
30	93%	92.2%	93.9%	89.2%	88%	90.5%
29	93.2%	92.4%	94%	89.5%	88.3%	90.7%
28	93.4%	92.6%	94.2%	89.7%	88.6%	90.9%
27	93.5%	92.8%	94.3%	90%	88.9%	91.1%
26	93.7%	92.9%	94.5%	90.2%	89.1%	91.3%
25	93.8%	93.1%	94.6%	90.4%	89.4%	91.5%
24	94%	93.3%	94.7%	90.7%	89.7%	91.7%
23	94.1%	93.5%	94.9%	90.9%	89.9%	91.8%
22	94.3%	93.6%	95%	91.1%	90.2%	92%
21	94.4%	93.8%	95.1%	91.3%	90.4%	92.2%
20	94.6%	94%	95.2%	91.5%	90.6%	92.3%
19	94.7%	94.1%	95.3%	91.6%	90.9%	92.5%
18	94.8%	94.2%	95.4%	91.8%	91%	92.6%
17	94.9%	94.4%	95.5%	92%	91.2%	92.7%
16	95%	94.5%	95.6%	92.1%	91.4%	92.8%
15	95.1%	94.6%	95.6%	92.2%	91.5%	92.9%
14	95.2%	94.7%	95.7%	92.3%	91.6%	93%
13	95.2%	94.7%	95.8%	92.4%	91.7%	93.1%
12	95.3%	94.8%	95.8%	92.5%	91.8%	93.2%
11	95.3%	94.9%	95.9%	92.6%	91.9%	93.3%
10	95.4%	94.9%	95.9%	92.7%	92%	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%	93.1%	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%	92.8%	94%
4	95.9%	95.5%	96.4%	93.6%	93%	94.2%
3	96.1%	95.7%	96.5%	94%	93.4%	94.6%
2	96.3%	95.9%	96.7%	94.5%	94%	95.1%
1	96.6%	96.2%	97%	95.3%	94.8%	95.9%

This chart shows the odds of living to each age from birth. 78.3% of newborns in East Timor and 71.3% in Guinea-Bissau are expected to live past 60, 60.4% and 54.3% past 70, 30.5% and 27.5% past 80, and only 4.95% and 5.32% 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

Guinea-Bissau

Male

Female

1x

Age	Probability of dying
	East Timor			Guinea-Bissau
	Average	Male	Female	Average	Male	Female
100	42.8%	44.7%	41.9%	37.5%	38.9%	36.9%
99	41%	42.9%	40.1%	36.1%	37.5%	35.4%
98	39.2%	41.1%	38.3%	34.2%	35.7%	33.5%
97	37.4%	39.2%	36.4%	32.8%	34.3%	32%
96	35.6%	37.4%	34.6%	31.3%	32.8%	30.5%
95	33.8%	35.5%	32.8%	29.7%	31.3%	28.9%
94	32%	33.6%	31%	28%	29.6%	27.1%
93	30.2%	31.8%	29.2%	26.3%	28%	25.5%
92	28.4%	29.9%	27.4%	24.8%	26.4%	23.9%
91	26.6%	28.1%	25.6%	23.1%	24.8%	22.2%
90	24.8%	26.3%	23.8%	22.1%	23.6%	21.2%
89	23.1%	24.5%	22.1%	20.4%	22%	19.5%
88	21.5%	22.8%	20.4%	19.2%	20.7%	18.3%
87	19.9%	21.1%	18.9%	17.9%	19.3%	17%
86	18.4%	19.5%	17.5%	16.7%	18.1%	15.9%
85	16.9%	18%	16.1%	15.5%	16.8%	14.7%
84	15.6%	16.5%	14.8%	14.4%	15.7%	13.6%
83	14.3%	15.1%	13.6%	13.2%	14.5%	12.4%
82	13%	13.9%	12.4%	12.2%	13.4%	11.4%
81	11.9%	12.7%	11.2%	11%	12.2%	10.3%
80	10.8%	11.6%	10.2%	10.3%	11.4%	9.62%
79	9.77%	10.6%	9.15%	9.4%	10.5%	8.71%
78	8.86%	9.69%	8.25%	8.69%	9.71%	8.04%
77	8.04%	8.86%	7.43%	7.9%	8.89%	7.28%
76	7.32%	8.1%	6.71%	7.28%	8.22%	6.7%
75	6.66%	7.4%	6.06%	6.69%	7.58%	6.14%
74	6.07%	6.76%	5.48%	6.1%	6.96%	5.58%
73	5.53%	6.17%	4.96%	5.56%	6.39%	5.07%
72	5.03%	5.63%	4.47%	5.1%	5.88%	4.63%
71	4.57%	5.14%	4.03%	4.57%	5.32%	4.12%
70	4.15%	4.69%	3.63%	4.26%	4.97%	3.84%
69	3.77%	4.29%	3.26%	3.82%	4.5%	3.4%
68	3.42%	3.92%	2.94%	3.51%	4.15%	3.11%
67	3.1%	3.58%	2.65%	3.2%	3.82%	2.82%
66	2.82%	3.27%	2.39%	2.94%	3.52%	2.57%
65	2.57%	3%	2.16%	2.73%	3.28%	2.37%
64	2.35%	2.74%	1.96%	2.51%	3.02%	2.16%
63	2.15%	2.51%	1.77%	2.31%	2.79%	1.97%
62	1.96%	2.3%	1.61%	2.13%	2.58%	1.8%
61	1.79%	2.11%	1.46%	1.94%	2.35%	1.62%
60	1.64%	1.93%	1.33%	1.82%	2.2%	1.52%
59	1.5%	1.77%	1.21%	1.65%	2.01%	1.36%
58	1.37%	1.62%	1.11%	1.53%	1.86%	1.26%
57	1.26%	1.48%	1.02%	1.41%	1.72%	1.15%
56	1.15%	1.35%	0.94%	1.32%	1.61%	1.08%
55	1.06%	1.23%	0.86%	1.24%	1.51%	1%
54	0.97%	1.12%	0.8%	1.16%	1.42%	0.94%
53	0.89%	1.02%	0.74%	1.09%	1.33%	0.88%
52	0.81%	0.93%	0.68%	1.03%	1.25%	0.83%
51	0.75%	0.85%	0.63%	0.94%	1.15%	0.76%
50	0.69%	0.78%	0.58%	0.9%	1.09%	0.72%
49	0.63%	0.71%	0.54%	0.83%	1.01%	0.66%
48	0.58%	0.65%	0.5%	0.77%	0.94%	0.62%
47	0.53%	0.6%	0.46%	0.72%	0.88%	0.58%
46	0.49%	0.55%	0.43%	0.68%	0.82%	0.54%
45	0.45%	0.5%	0.39%	0.65%	0.78%	0.52%
44	0.41%	0.46%	0.37%	0.61%	0.73%	0.49%
43	0.38%	0.42%	0.34%	0.57%	0.69%	0.46%
42	0.35%	0.39%	0.32%	0.55%	0.65%	0.45%
41	0.33%	0.36%	0.3%	0.51%	0.61%	0.42%
40	0.31%	0.33%	0.28%	0.49%	0.58%	0.4%
39	0.29%	0.31%	0.26%	0.46%	0.55%	0.38%
38	0.27%	0.29%	0.25%	0.44%	0.52%	0.36%
37	0.25%	0.27%	0.23%	0.41%	0.49%	0.34%
36	0.24%	0.26%	0.22%	0.39%	0.47%	0.32%
35	0.23%	0.24%	0.21%	0.37%	0.44%	0.31%
34	0.22%	0.23%	0.2%	0.36%	0.42%	0.29%
33	0.21%	0.22%	0.19%	0.34%	0.4%	0.28%
32	0.2%	0.21%	0.18%	0.32%	0.38%	0.27%
31	0.19%	0.2%	0.18%	0.31%	0.36%	0.25%
30	0.18%	0.2%	0.17%	0.3%	0.35%	0.24%
29	0.18%	0.19%	0.16%	0.28%	0.34%	0.23%
28	0.17%	0.19%	0.16%	0.28%	0.33%	0.22%
27	0.17%	0.19%	0.15%	0.27%	0.32%	0.22%
26	0.17%	0.19%	0.15%	0.26%	0.31%	0.21%
25	0.17%	0.19%	0.14%	0.25%	0.3%	0.2%
24	0.16%	0.19%	0.14%	0.24%	0.3%	0.19%
23	0.16%	0.19%	0.13%	0.24%	0.29%	0.18%
22	0.16%	0.19%	0.13%	0.23%	0.28%	0.18%
21	0.15%	0.18%	0.12%	0.22%	0.26%	0.17%
20	0.14%	0.17%	0.12%	0.21%	0.25%	0.16%
19	0.13%	0.16%	0.11%	0.19%	0.23%	0.15%
18	0.12%	0.15%	0.1%	0.18%	0.21%	0.14%
17	0.11%	0.13%	0.09%	0.16%	0.19%	0.13%
16	0.1%	0.11%	0.08%	0.14%	0.16%	0.12%
15	0.09%	0.1%	0.07%	0.13%	0.14%	0.11%
14	0.08%	0.09%	0.06%	0.12%	0.13%	0.1%
13	0.07%	0.08%	0.06%	0.11%	0.12%	0.1%
12	0.06%	0.07%	0.05%	0.1%	0.11%	0.09%
11	0.06%	0.07%	0.05%	0.1%	0.11%	0.09%
10	0.06%	0.07%	0.05%	0.11%	0.12%	0.09%
9	0.06%	0.07%	0.05%	0.11%	0.12%	0.1%
8	0.07%	0.08%	0.06%	0.12%	0.13%	0.11%
7	0.07%	0.09%	0.06%	0.14%	0.15%	0.13%
6	0.09%	0.1%	0.08%	0.17%	0.18%	0.15%
5	0.11%	0.12%	0.1%	0.2%	0.21%	0.19%
4	0.14%	0.15%	0.12%	0.26%	0.28%	0.25%
3	0.18%	0.19%	0.17%	0.37%	0.4%	0.35%
2	0.24%	0.25%	0.22%	0.54%	0.58%	0.5%
1	0.31%	0.32%	0.31%	0.88%	0.94%	0.83%
0	3.39%	3.78%	2.97%	4.65%	5.15%	4.15%

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

The annual chance of dying is 3.39% in the birth year in East Timor and 4.65% in Guinea-Bissau, 0.18% vs 0.3% at age 30, 1.64% vs 1.82% at 60, and 10.8% vs 10.3% at 80.

Death rate by age in East Timor vs Guinea-Bissau

Chart Table

East Timor

Male

Female

Guinea-Bissau

Male

Female

1x

Age	Death rate
	East Timor			Guinea-Bissau
	Total	Male	Female	Total	Male	Female
100	0	0	0	10.5	0	24.3
99	61.8	39	87.4	98	57.6	136.6
98	97.3	63.4	135.2	141.4	85.4	194.6
97	148.3	99.6	202.6	201.5	124.9	273.7
96	219.3	151.6	294.2	279.6	177.9	375
95	314	223.2	415	377	246.6	499
94	437	319	567	493	331	643
93	591	441	754	631	435	810
92	775	593	974	791	558	1,001
91	990	775	1,222	959	695	1,195
90	1,230	984	1,493	1,173	865	1,447
89	1,489	1,217	1,778	1,366	1,035	1,657
88	1,760	1,466	2,070	1,587	1,228	1,900
87	2,034	1,723	2,360	1,803	1,424	2,129
86	2,301	1,977	2,639	2,022	1,627	2,357
85	2,553	2,220	2,899	2,219	1,819	2,554
84	2,780	2,442	3,129	2,407	2,014	2,732
83	2,972	2,637	3,316	2,545	2,169	2,850
82	3,121	2,803	3,452	2,671	2,318	2,955
81	3,224	2,937	3,530	2,719	2,409	2,966
80	3,282	3,038	3,553	2,842	2,546	3,078
79	3,299	3,108	3,527	2,853	2,605	3,052
78	3,282	3,146	3,463	2,888	2,674	3,064
77	3,240	3,155	3,372	2,852	2,688	2,994
76	3,180	3,138	3,263	2,832	2,707	2,950
75	3,104	3,095	3,139	2,789	2,702	2,883
74	3,011	3,032	3,003	2,710	2,666	2,774
73	2,903	2,951	2,856	2,618	2,614	2,655
72	2,781	2,855	2,699	2,527	2,557	2,542
71	2,648	2,747	2,535	2,375	2,444	2,361
70	2,509	2,632	2,368	2,313	2,399	2,287
69	2,366	2,511	2,201	2,152	2,277	2,096
68	2,223	2,387	2,041	2,051	2,193	1,979
67	2,083	2,263	1,889	1,934	2,096	1,843
66	1,950	2,139	1,746	1,830	2,002	1,725
65	1,824	2,018	1,614	1,748	1,928	1,631
64	1,705	1,900	1,491	1,645	1,832	1,517
63	1,592	1,785	1,377	1,551	1,740	1,414
62	1,484	1,675	1,270	1,463	1,651	1,319
61	1,382	1,568	1,171	1,354	1,541	1,204
60	1,285	1,465	1,080	1,297	1,477	1,147
59	1,194	1,366	997	1,195	1,374	1,041
58	1,108	1,270	921	1,127	1,299	974
57	1,027	1,177	853	1,055	1,223	903
56	951	1,089	792	1,002	1,164	854
55	881	1,005	737	949	1,106	803
54	815	927	686	903	1,054	760
53	755	854	640	854	1,000	715
52	698	787	596	812	952	680
51	645	725	555	755	890	627
50	596	668	516	724	853	602
49	550	616	479	673	794	555
48	508	567	445	635	748	523
47	469	522	413	596	702	489
46	433	481	383	565	663	465
45	400	442	356	540	633	445
44	370	407	332	510	597	422
43	343	375	310	486	566	403
42	319	347	289.8	467	543	389
41	297	321	272.2	438	509	364
40	277.7	298.5	256.3	423	492	353
39	260.5	278.6	242	399	463	332
38	245.2	261.2	229	381	442	318
37	231.6	246	217.1	360	420	300
36	219.4	232.7	206.2	345	401	287.1
35	208.5	221	196.1	329	383	273.7
34	198.8	210.7	186.9	313	364	260.9
33	190	201.5	178.6	299.4	348	249.4
32	182.2	193.3	171.2	287.1	334	238.9
31	175.4	186.3	164.5	272.8	318	226.6
30	169.5	180.5	158.5	265.8	309	221
29	164.8	176.2	153	254.6	297.3	210.8
28	161	173.6	148.1	247.1	288.9	204.1
27	158.3	172.7	143.4	239.2	281.1	196.1
26	156.3	173.3	139	232.7	275	189.2
25	155	174.7	134.7	226.7	269.7	182.4
24	153.7	176.2	130.4	220.9	264.6	175.9
23	151.8	176.7	126	214.4	258.3	169.1
22	148.8	175.2	121.3	207.1	250.3	162.5
21	143.9	170.7	116.1	198.1	239.1	155.7
20	137	162.8	110.2	187.7	225.3	148.9
19	127.8	151.5	103.2	175.7	208.8	141.4
18	116.8	137.5	95.3	162.7	190.8	133.7
17	104.7	122.1	86.7	147.6	170	124.3
16	92.5	106.7	77.8	133.3	150.2	115.7
15	81.3	92.6	69.4	118.9	131.9	105.5
14	71.6	80.9	61.9	108.2	118.9	97
13	64.2	72.1	55.9	100.2	109.3	90.8
12	59	66.1	51.5	95.9	104.1	87.3
11	56.2	63.1	48.9	94.7	102.7	86.4
10	55.7	62.9	48.3	97.5	106.1	88.5
9	57.8	65.7	49.8	103.7	113.1	93.9
8	62.9	71.6	53.8	114.4	124.3	104.1
7	71.5	81.4	61.3	130.9	141.4	119.9
6	84.9	96	73.4	154.2	165.3	142.6
5	104.6	116.8	91.9	187.5	199.5	175
4	132.9	145.7	119.4	247.5	262.6	231.7
3	172.5	184.8	159.4	349	371	327
2	227.1	237.1	216.5	511	542	480
1	301	306	296.6	843	888	797
0	3,388	3,779	2,971	4,655	5,152	4,147

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 Guinea-Bissau. The median age of death is 73.9 in East Timor and 71.8 in Guinea-Bissau, 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 Guinea-Bissau more than their death rates.

Life expectancy in other countries

+ -

1x