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

Life expectancy by current age

Chart Table

East Timor

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	East Timor			Tanzania
	Average	Male	Female	Average	Male	Female
100	101.7	101.7	101.8	102.5	101.9	102.6
99	100.8	100.7	100.9	101.7	101	101.7
98	99.9	99.8	100	100.8	100.1	100.9
97	99	98.9	99.1	100	99.2	100.1
96	98.1	98	98.2	99.1	98.4	99.3
95	97.2	97.1	97.3	98.3	97.5	98.4
94	96.4	96.2	96.4	97.4	96.6	97.7
93	95.5	95.4	95.6	96.6	95.8	96.9
92	94.6	94.5	94.7	95.8	94.9	96.1
91	93.8	93.7	93.9	95.1	94.1	95.4
90	93	92.8	93.1	94.3	93.3	94.6
89	92.2	92	92.3	93.5	92.5	93.9
88	91.4	91.2	91.5	92.7	91.7	93.2
87	90.6	90.4	90.8	92	90.9	92.5
86	89.9	89.7	90	91.3	90.1	91.9
85	89.1	88.9	89.3	90.6	89.4	91.2
84	88.4	88.2	88.6	89.9	88.7	90.6
83	87.7	87.5	87.9	89.2	88	90
82	87	86.8	87.2	88.6	87.3	89.4
81	86.4	86.1	86.6	87.9	86.6	88.9
80	85.7	85.5	86	87.3	86	88.3
79	85.1	84.8	85.4	86.8	85.3	87.8
78	84.5	84.2	84.8	86.2	84.7	87.3
77	84	83.6	84.3	85.6	84.1	86.8
76	83.4	83	83.7	85.1	83.5	86.3
75	82.9	82.5	83.2	84.5	83	85.8
74	82.4	81.9	82.8	84	82.4	85.3
73	81.9	81.4	82.3	83.5	81.9	84.8
72	81.4	80.9	81.9	83	81.4	84.3
71	81	80.4	81.4	82.5	80.9	83.9
70	80.5	80	81.1	82.1	80.4	83.4
69	80.1	79.5	80.7	81.6	79.9	83
68	79.7	79.1	80.3	81.2	79.4	82.6
67	79.3	78.7	80	80.7	79	82.2
66	79	78.3	79.7	80.3	78.5	81.8
65	78.6	77.9	79.3	79.9	78.1	81.4
64	78.3	77.5	79.1	79.5	77.6	81
63	78	77.2	78.8	79.1	77.2	80.7
62	77.7	76.8	78.5	78.7	76.8	80.3
61	77.4	76.5	78.3	78.4	76.4	80
60	77.1	76.2	78	78	76.1	79.7
59	76.8	75.9	77.8	77.7	75.7	79.4
58	76.6	75.6	77.6	77.4	75.4	79.1
57	76.4	75.4	77.4	77.1	75	78.9
56	76.1	75.1	77.2	76.8	74.7	78.6
55	75.9	74.9	77	76.5	74.4	78.3
54	75.7	74.6	76.8	76.2	74.1	78.1
53	75.5	74.4	76.7	75.9	73.8	77.9
52	75.3	74.2	76.5	75.7	73.5	77.6
51	75.1	74	76.3	75.4	73.3	77.4
50	75	73.8	76.2	75.2	73	77.2
49	74.8	73.7	76	75	72.7	77
48	74.7	73.5	75.9	74.7	72.5	76.8
47	74.5	73.3	75.8	74.5	72.3	76.6
46	74.4	73.2	75.6	74.3	72	76.5
45	74.3	73.1	75.5	74.1	71.8	76.3
44	74.1	72.9	75.4	73.9	71.6	76.1
43	74	72.8	75.3	73.8	71.4	76
42	73.9	72.7	75.2	73.6	71.2	75.8
41	73.8	72.6	75.1	73.4	71	75.6
40	73.7	72.5	75	73.2	70.8	75.5
39	73.6	72.4	74.9	73.1	70.7	75.4
38	73.5	72.3	74.8	72.9	70.5	75.2
37	73.4	72.2	74.7	72.8	70.3	75.1
36	73.3	72.1	74.7	72.6	70.2	75
35	73.2	72	74.6	72.5	70	74.8
34	73.2	71.9	74.5	72.4	69.9	74.7
33	73.1	71.8	74.4	72.2	69.7	74.6
32	73	71.7	74.3	72.1	69.6	74.5
31	72.9	71.7	74.3	72	69.5	74.4
30	72.8	71.6	74.2	71.9	69.3	74.3
29	72.8	71.5	74.1	71.8	69.2	74.2
28	72.7	71.4	74	71.7	69.1	74.1
27	72.6	71.3	74	71.6	69	74
26	72.5	71.3	73.9	71.4	68.9	73.9
25	72.5	71.2	73.8	71.4	68.7	73.9
24	72.4	71.1	73.8	71.3	68.6	73.8
23	72.3	71	73.7	71.2	68.5	73.7
22	72.2	70.9	73.6	71.1	68.4	73.6
21	72.1	70.8	73.6	71	68.3	73.6
20	72.1	70.7	73.5	70.9	68.2	73.5
19	72	70.6	73.4	70.8	68.1	73.4
18	71.9	70.6	73.4	70.8	68.1	73.4
17	71.9	70.5	73.3	70.7	68	73.3
16	71.8	70.4	73.3	70.6	67.9	73.3
15	71.8	70.4	73.3	70.6	67.9	73.2
14	71.7	70.3	73.2	70.5	67.8	73.2
13	71.7	70.3	73.2	70.5	67.8	73.2
12	71.6	70.2	73.1	70.5	67.7	73.1
11	71.6	70.2	73.1	70.4	67.7	73.1
10	71.6	70.2	73.1	70.4	67.7	73.1
9	71.5	70.1	73.1	70.4	67.6	73
8	71.5	70.1	73	70.3	67.6	73
7	71.4	70	73	70.3	67.5	72.9
6	71.4	70	72.9	70.2	67.5	72.9
5	71.3	69.9	72.9	70.2	67.4	72.8
4	71.2	69.8	72.8	70.1	67.3	72.7
3	71.1	69.7	72.7	69.9	67.2	72.6
2	70.9	69.5	72.5	69.8	67	72.4
1	70.7	69.3	72.3	69.5	66.8	72.2
0	68.3	66.7	70.1	67.6	64.8	70.4

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 71.9 in Tanzania, rising to 78.6 and 79.9 at 65, and to 85.7 and 87.3 at 80 — higher than the 68.3 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

East Timor

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	East Timor			Tanzania
	Average	Male	Female	Average	Male	Female
100	0.09%	0.05%	0.13%	0.67%	0.12%	1.28%
99	0.15%	0.09%	0.22%	0.94%	0.2%	1.76%
98	0.25%	0.15%	0.35%	1.29%	0.3%	2.36%
97	0.4%	0.25%	0.56%	1.73%	0.46%	3.12%
96	0.62%	0.41%	0.85%	2.29%	0.68%	4.05%
95	0.93%	0.63%	1.26%	2.99%	0.98%	5.16%
94	1.37%	0.95%	1.83%	3.82%	1.38%	6.46%
93	1.96%	1.39%	2.59%	4.81%	1.89%	7.95%
92	2.73%	1.98%	3.56%	5.97%	2.55%	9.63%
91	3.72%	2.76%	4.78%	7.28%	3.35%	11.5%
90	4.95%	3.74%	6.28%	8.82%	4.35%	13.5%
89	6.44%	4.96%	8.05%	10.5%	5.52%	15.7%
88	8.2%	6.42%	10.1%	12.4%	6.9%	18.1%
87	10.2%	8.15%	12.5%	14.4%	8.47%	20.5%
86	12.5%	10.1%	15.1%	16.6%	10.2%	23.1%
85	15.1%	12.3%	18%	19%	12.2%	25.7%
84	17.9%	14.8%	21.2%	21.4%	14.3%	28.4%
83	20.8%	17.4%	24.5%	23.9%	16.6%	31%
82	24%	20.2%	27.9%	26.5%	19%	33.6%
81	27.2%	23.2%	31.4%	29%	21.4%	36.1%
80	30.5%	26.2%	35%	31.5%	24%	38.5%
79	33.8%	29.3%	38.5%	34.1%	26.6%	41%
78	37%	32.5%	42%	36.6%	29.2%	43.4%
77	40.3%	35.6%	45.4%	39.2%	31.8%	45.8%
76	43.5%	38.7%	48.6%	41.7%	34.5%	48.2%
75	46.6%	41.8%	51.8%	44.2%	37.1%	50.6%
74	49.6%	44.9%	54.8%	46.6%	39.7%	52.9%
73	52.5%	47.8%	57.6%	49%	42.2%	55.1%
72	55.3%	50.7%	60.3%	51.3%	44.7%	57.3%
71	57.9%	53.4%	62.9%	53.5%	47.1%	59.4%
70	60.4%	56.1%	65.2%	55.7%	49.5%	61.4%
69	62.8%	58.6%	67.4%	57.7%	51.8%	63.3%
68	65%	61%	69.5%	59.7%	54%	65.2%
67	67.1%	63.2%	71.4%	61.7%	56.2%	67%
66	69%	65.4%	73.1%	63.6%	58.3%	68.8%
65	70.9%	67.4%	74.7%	65.4%	60.3%	70.5%
64	72.6%	69.3%	76.2%	67.2%	62.3%	72%
63	74.2%	71.1%	77.6%	68.8%	64.2%	73.5%
62	75.7%	72.7%	78.9%	70.4%	66%	74.9%
61	77%	74.3%	80%	71.9%	67.6%	76.2%
60	78.3%	75.8%	81.1%	73.3%	69.3%	77.5%
59	79.5%	77.1%	82.1%	74.7%	70.8%	78.6%
58	80.6%	78.4%	83%	75.9%	72.2%	79.7%
57	81.6%	79.6%	83.9%	77.1%	73.6%	80.7%
56	82.6%	80.7%	84.7%	78.2%	74.9%	81.6%
55	83.5%	81.7%	85.4%	79.3%	76.1%	82.5%
54	84.3%	82.6%	86.1%	80.3%	77.3%	83.3%
53	85%	83.5%	86.7%	81.3%	78.4%	84.2%
52	85.7%	84.2%	87.3%	82.2%	79.4%	84.9%
51	86.4%	85%	87.9%	83%	80.4%	85.6%
50	87%	85.6%	88.4%	83.9%	81.4%	86.3%
49	87.5%	86.3%	88.9%	84.6%	82.3%	86.9%
48	88%	86.8%	89.3%	85.3%	83.1%	87.5%
47	88.5%	87.3%	89.7%	86%	83.9%	88.1%
46	88.9%	87.8%	90.1%	86.6%	84.7%	88.6%
45	89.3%	88.3%	90.5%	87.2%	85.4%	89.1%
44	89.7%	88.7%	90.8%	87.8%	86%	89.6%
43	90.1%	89.1%	91.1%	88.3%	86.7%	90%
42	90.4%	89.4%	91.4%	88.8%	87.2%	90.5%
41	90.7%	89.7%	91.7%	89.3%	87.8%	90.8%
40	91%	90%	91.9%	89.8%	88.3%	91.2%
39	91.2%	90.3%	92.2%	90.2%	88.8%	91.6%
38	91.5%	90.6%	92.4%	90.6%	89.3%	91.9%
37	91.7%	90.8%	92.6%	91%	89.8%	92.2%
36	91.9%	91%	92.8%	91.3%	90.2%	92.5%
35	92.1%	91.3%	93%	91.7%	90.6%	92.8%
34	92.3%	91.5%	93.2%	92%	90.9%	93.1%
33	92.5%	91.7%	93.4%	92.3%	91.3%	93.3%
32	92.7%	91.9%	93.6%	92.6%	91.6%	93.6%
31	92.9%	92%	93.7%	92.9%	92%	93.8%
30	93%	92.2%	93.9%	93.1%	92.3%	94%
29	93.2%	92.4%	94%	93.4%	92.5%	94.2%
28	93.4%	92.6%	94.2%	93.6%	92.8%	94.4%
27	93.5%	92.8%	94.3%	93.8%	93.1%	94.6%
26	93.7%	92.9%	94.5%	94%	93.3%	94.8%
25	93.8%	93.1%	94.6%	94.2%	93.6%	94.9%
24	94%	93.3%	94.7%	94.4%	93.8%	95.1%
23	94.1%	93.5%	94.9%	94.6%	94%	95.2%
22	94.3%	93.6%	95%	94.8%	94.2%	95.4%
21	94.4%	93.8%	95.1%	95%	94.4%	95.5%
20	94.6%	94%	95.2%	95.1%	94.6%	95.6%
19	94.7%	94.1%	95.3%	95.3%	94.8%	95.7%
18	94.8%	94.2%	95.4%	95.4%	95%	95.8%
17	94.9%	94.4%	95.5%	95.5%	95.1%	95.9%
16	95%	94.5%	95.6%	95.6%	95.2%	96%
15	95.1%	94.6%	95.6%	95.7%	95.3%	96.1%
14	95.2%	94.7%	95.7%	95.8%	95.4%	96.1%
13	95.2%	94.7%	95.8%	95.8%	95.5%	96.2%
12	95.3%	94.8%	95.8%	95.9%	95.5%	96.2%
11	95.3%	94.9%	95.9%	95.9%	95.6%	96.3%
10	95.4%	94.9%	95.9%	96%	95.7%	96.4%
9	95.5%	95%	96%	96.1%	95.7%	96.4%
8	95.5%	95.1%	96%	96.1%	95.8%	96.5%
7	95.6%	95.1%	96.1%	96.2%	95.9%	96.5%
6	95.7%	95.2%	96.1%	96.3%	96%	96.6%
5	95.8%	95.3%	96.2%	96.4%	96.1%	96.7%
4	95.9%	95.5%	96.4%	96.5%	96.2%	96.8%
3	96.1%	95.7%	96.5%	96.7%	96.4%	97%
2	96.3%	95.9%	96.7%	96.9%	96.6%	97.2%
1	96.6%	96.2%	97%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 78.3% of newborns in East Timor and 73.3% in Tanzania are expected to live past 60, 60.4% and 55.7% past 70, 30.5% and 31.5% past 80, and only 4.95% and 8.82% 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

Tanzania

Male

Female

1x

Age	Probability of dying
	East Timor			Tanzania
	Average	Male	Female	Average	Male	Female
100	42.8%	44.7%	41.9%	29.4%	38.6%	28.4%
99	41%	42.9%	40.1%	28.3%	37.1%	27.2%
98	39.2%	41.1%	38.3%	26.8%	35.3%	25.5%
97	37.4%	39.2%	36.4%	25.7%	33.9%	24.3%
96	35.6%	37.4%	34.6%	24.5%	32.3%	23%
95	33.8%	35.5%	32.8%	23.3%	30.7%	21.6%
94	32%	33.6%	31%	21.8%	28.9%	20.1%
93	30.2%	31.8%	29.2%	20.6%	27.3%	18.7%
92	28.4%	29.9%	27.4%	19.4%	25.7%	17.5%
91	26.6%	28.1%	25.6%	18.1%	24%	16%
90	24.8%	26.3%	23.8%	17.4%	22.9%	15.3%
89	23.1%	24.5%	22.1%	16.1%	21.3%	13.9%
88	21.5%	22.8%	20.4%	15.2%	20%	13%
87	19.9%	21.1%	18.9%	14.2%	18.6%	12%
86	18.4%	19.5%	17.5%	13.3%	17.3%	11.1%
85	16.9%	18%	16.1%	12.3%	16%	10.2%
84	15.6%	16.5%	14.8%	11.4%	14.9%	9.37%
83	14.3%	15.1%	13.6%	10.4%	13.7%	8.46%
82	13%	13.9%	12.4%	9.6%	12.6%	7.7%
81	11.9%	12.7%	11.2%	8.6%	11.4%	6.8%
80	10.8%	11.6%	10.2%	8.09%	10.6%	6.4%
79	9.77%	10.6%	9.15%	7.47%	9.73%	5.95%
78	8.86%	9.69%	8.25%	7.01%	9.02%	5.65%
77	8.04%	8.86%	7.43%	6.47%	8.26%	5.24%
76	7.32%	8.1%	6.71%	6.05%	7.65%	4.95%
75	6.66%	7.4%	6.06%	5.63%	7.08%	4.66%
74	6.07%	6.76%	5.48%	5.22%	6.52%	4.35%
73	5.53%	6.17%	4.96%	4.83%	6.02%	4.06%
72	5.03%	5.63%	4.47%	4.5%	5.58%	3.8%
71	4.57%	5.14%	4.03%	4.12%	5.1%	3.49%
70	4.15%	4.69%	3.63%	3.91%	4.8%	3.33%
69	3.77%	4.29%	3.26%	3.59%	4.41%	3.06%
68	3.42%	3.92%	2.94%	3.37%	4.12%	2.88%
67	3.1%	3.58%	2.65%	3.16%	3.84%	2.7%
66	2.82%	3.27%	2.39%	2.97%	3.6%	2.54%
65	2.57%	3%	2.16%	2.83%	3.4%	2.41%
64	2.35%	2.74%	1.96%	2.61%	3.15%	2.2%
63	2.15%	2.51%	1.77%	2.42%	2.92%	2.02%
62	1.96%	2.3%	1.61%	2.25%	2.71%	1.86%
61	1.79%	2.11%	1.46%	2.06%	2.49%	1.7%
60	1.64%	1.93%	1.33%	1.94%	2.34%	1.58%
59	1.5%	1.77%	1.21%	1.78%	2.14%	1.44%
58	1.37%	1.62%	1.11%	1.66%	1.99%	1.34%
57	1.26%	1.48%	1.02%	1.54%	1.85%	1.24%
56	1.15%	1.35%	0.94%	1.44%	1.73%	1.16%
55	1.06%	1.23%	0.86%	1.35%	1.62%	1.09%
54	0.97%	1.12%	0.8%	1.26%	1.52%	1.02%
53	0.89%	1.02%	0.74%	1.18%	1.42%	0.95%
52	0.81%	0.93%	0.68%	1.11%	1.34%	0.9%
51	0.75%	0.85%	0.63%	1.03%	1.24%	0.83%
50	0.69%	0.78%	0.58%	0.97%	1.17%	0.79%
49	0.63%	0.71%	0.54%	0.9%	1.08%	0.73%
48	0.58%	0.65%	0.5%	0.84%	1.01%	0.68%
47	0.53%	0.6%	0.46%	0.78%	0.94%	0.63%
46	0.49%	0.55%	0.43%	0.73%	0.88%	0.59%
45	0.45%	0.5%	0.39%	0.69%	0.83%	0.56%
44	0.41%	0.46%	0.37%	0.64%	0.77%	0.52%
43	0.38%	0.42%	0.34%	0.6%	0.72%	0.49%
42	0.35%	0.39%	0.32%	0.57%	0.68%	0.47%
41	0.33%	0.36%	0.3%	0.53%	0.63%	0.44%
40	0.31%	0.33%	0.28%	0.51%	0.6%	0.42%
39	0.29%	0.31%	0.26%	0.47%	0.56%	0.39%
38	0.27%	0.29%	0.25%	0.45%	0.53%	0.37%
37	0.25%	0.27%	0.23%	0.42%	0.5%	0.34%
36	0.24%	0.26%	0.22%	0.39%	0.47%	0.33%
35	0.23%	0.24%	0.21%	0.37%	0.44%	0.31%
34	0.22%	0.23%	0.2%	0.35%	0.41%	0.29%
33	0.21%	0.22%	0.19%	0.33%	0.39%	0.27%
32	0.2%	0.21%	0.18%	0.31%	0.37%	0.25%
31	0.19%	0.2%	0.18%	0.29%	0.34%	0.24%
30	0.18%	0.2%	0.17%	0.28%	0.33%	0.23%
29	0.18%	0.19%	0.16%	0.26%	0.31%	0.21%
28	0.17%	0.19%	0.16%	0.25%	0.3%	0.2%
27	0.17%	0.19%	0.15%	0.24%	0.28%	0.19%
26	0.17%	0.19%	0.15%	0.22%	0.27%	0.18%
25	0.17%	0.19%	0.14%	0.21%	0.26%	0.17%
24	0.16%	0.19%	0.14%	0.2%	0.25%	0.16%
23	0.16%	0.19%	0.13%	0.19%	0.24%	0.15%
22	0.16%	0.19%	0.13%	0.18%	0.23%	0.14%
21	0.15%	0.18%	0.12%	0.17%	0.21%	0.13%
20	0.14%	0.17%	0.12%	0.16%	0.2%	0.13%
19	0.13%	0.16%	0.11%	0.15%	0.18%	0.12%
18	0.12%	0.15%	0.1%	0.14%	0.17%	0.11%
17	0.11%	0.13%	0.09%	0.12%	0.14%	0.1%
16	0.1%	0.11%	0.08%	0.1%	0.12%	0.09%
15	0.09%	0.1%	0.07%	0.09%	0.1%	0.08%
14	0.08%	0.09%	0.06%	0.08%	0.09%	0.07%
13	0.07%	0.08%	0.06%	0.07%	0.08%	0.06%
12	0.06%	0.07%	0.05%	0.06%	0.07%	0.06%
11	0.06%	0.07%	0.05%	0.06%	0.07%	0.05%
10	0.06%	0.07%	0.05%	0.06%	0.07%	0.05%
9	0.06%	0.07%	0.05%	0.06%	0.07%	0.06%
8	0.07%	0.08%	0.06%	0.07%	0.07%	0.06%
7	0.07%	0.09%	0.06%	0.08%	0.08%	0.07%
6	0.09%	0.1%	0.08%	0.08%	0.09%	0.08%
5	0.11%	0.12%	0.1%	0.1%	0.11%	0.09%
4	0.14%	0.15%	0.12%	0.13%	0.14%	0.12%
3	0.18%	0.19%	0.17%	0.18%	0.18%	0.17%
2	0.24%	0.25%	0.22%	0.25%	0.26%	0.25%
1	0.31%	0.32%	0.31%	0.41%	0.41%	0.4%
0	3.39%	3.78%	2.97%	2.69%	2.99%	2.38%

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

The annual chance of dying is 3.39% in the birth year in East Timor and 2.69% in Tanzania, 0.18% vs 0.28% at age 30, 1.64% vs 1.94% at 60, and 10.8% vs 8.09% at 80.

Death rate by age in East Timor vs Tanzania

Chart Table

East Timor

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	East Timor			Tanzania
	Total	Male	Female	Total	Male	Female
100	0	0	0	140.1	0.71	294.9
99	61.8	39	87.4	266.5	72.6	478
98	97.3	63.4	135.2	344	107.1	602
97	148.3	99.6	202.6	444	155.1	756
96	219.3	151.6	294.2	562	218.8	930
95	314	223.2	415	695	300	1,116
94	437	319	567	834	398	1,297
93	591	441	754	989	516	1,486
92	775	593	974	1,159	656	1,682
91	990	775	1,222	1,316	805	1,836
90	1,230	984	1,493	1,536	994	2,078
89	1,489	1,217	1,778	1,690	1,174	2,190
88	1,760	1,466	2,070	1,881	1,377	2,351
87	2,034	1,723	2,360	2,045	1,575	2,462
86	2,301	1,977	2,639	2,207	1,777	2,566
85	2,553	2,220	2,899	2,336	1,957	2,629
84	2,780	2,442	3,129	2,452	2,143	2,662
83	2,972	2,637	3,316	2,499	2,269	2,625
82	3,121	2,803	3,452	2,540	2,389	2,588
81	3,224	2,937	3,530	2,490	2,434	2,451
80	3,282	3,038	3,553	2,549	2,548	2,467
79	3,299	3,108	3,527	2,545	2,586	2,439
78	3,282	3,146	3,463	2,569	2,636	2,453
77	3,240	3,155	3,372	2,533	2,630	2,402
76	3,180	3,138	3,263	2,519	2,638	2,384
75	3,104	3,095	3,139	2,489	2,625	2,358
74	3,011	3,032	3,003	2,431	2,589	2,297
73	2,903	2,951	2,856	2,367	2,543	2,235
72	2,781	2,855	2,699	2,309	2,496	2,179
71	2,648	2,747	2,535	2,205	2,404	2,072
70	2,509	2,632	2,368	2,174	2,375	2,046
69	2,366	2,511	2,201	2,072	2,284	1,936
68	2,223	2,387	2,041	2,015	2,226	1,877
67	2,083	2,263	1,889	1,948	2,160	1,806
66	1,950	2,139	1,746	1,889	2,097	1,743
65	1,824	2,018	1,614	1,848	2,051	1,698
64	1,705	1,900	1,491	1,753	1,961	1,588
63	1,592	1,785	1,377	1,666	1,874	1,488
62	1,484	1,675	1,270	1,583	1,789	1,396
61	1,382	1,568	1,171	1,484	1,686	1,293
60	1,285	1,465	1,080	1,422	1,617	1,227
59	1,194	1,366	997	1,327	1,514	1,135
58	1,108	1,270	921	1,257	1,436	1,069
57	1,027	1,177	853	1,185	1,359	1,002
56	951	1,089	792	1,126	1,294	949
55	881	1,005	737	1,069	1,234	895
54	815	927	686	1,015	1,174	848
53	755	854	640	962	1,116	802
52	698	787	596	914	1,062	763
51	645	725	555	856	999	711
50	596	668	516	817	955	680
49	550	616	479	761	892	633
48	508	567	445	716	840	596
47	469	522	413	671	789	558
46	433	481	383	632	744	525
45	400	442	356	599	705	498
44	370	407	332	563	661	469
43	343	375	310	533	625	445
42	319	347	289.8	507	593	423
41	297	321	272.2	476	557	397
40	277.7	298.5	256.3	455	533	380
39	260.5	278.6	242	428	500	357
38	245.2	261.2	229	405	473	338
37	231.6	246	217.1	382	446	318
36	219.4	232.7	206.2	361	420	301
35	208.5	221	196.1	341	398	284.4
34	198.8	210.7	186.9	321	375	266.3
33	190	201.5	178.6	303	353	251.3
32	182.2	193.3	171.2	286.8	335	237.8
31	175.4	186.3	164.5	269.7	316	222.6
30	169.5	180.5	158.5	258.9	303	213.8
29	164.8	176.2	153	245	287.2	202.1
28	161	173.6	148.1	233.1	274.4	191
27	158.3	172.7	143.4	222.2	262.5	181.1
26	156.3	173.3	139	211.5	251.5	171
25	155	174.7	134.7	201.9	242.2	161.1
24	153.7	176.2	130.4	192.7	232.5	152.5
23	151.8	176.7	126	183.7	223.1	143.7
22	148.8	175.2	121.3	174.2	212.6	135.4
21	143.9	170.7	116.1	164	200.4	127
20	137	162.8	110.2	154.3	187.4	120.7
19	127.8	151.5	103.2	142.8	172.9	112.2
18	116.8	137.5	95.3	130.5	157.1	103.4
17	104.7	122.1	86.7	114.1	134.6	93.3
16	92.5	106.7	77.8	98.8	113.8	83.6
15	81.3	92.6	69.4	85	95.7	74
14	71.6	80.9	61.9	73.3	81.7	64.7
13	64.2	72.1	55.9	65.1	71.8	58.2
12	59	66.1	51.5	60	66.3	53.6
11	56.2	63.1	48.9	57.8	63.8	51.6
10	55.7	62.9	48.3	57.7	63	52.2
9	57.8	65.7	49.8	59.9	65.2	54.4
8	62.9	71.6	53.8	64.7	70.4	58.8
7	71.5	81.4	61.3	72.2	78.1	66.1
6	84.9	96	73.4	81.7	87.3	76
5	104.6	116.8	91.9	96.7	101.8	91.4
4	132.9	145.7	119.4	125.6	131.7	119.3
3	172.5	184.8	159.4	171.2	177.9	164.3
2	227.1	237.1	216.5	246.7	252.7	240.5
1	301	306	296.6	394	394	394
0	3,388	3,779	2,971	2,690	2,990	2,383

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 Tanzania. The median age of death is 73.9 in East Timor and 72.6 in Tanzania, 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 Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x