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

Life expectancy by current age

Chart Table

East Timor

Male

Female

Malawi

Male

Female

1x

Current age, years	Total life expectancy, years
	East Timor			Malawi
	Average	Male	Female	Average	Male	Female
100	101.7	101.7	101.8	102.1	101.9	102.2
99	100.8	100.7	100.9	101.2	101	101.3
98	99.9	99.8	100	100.3	100.1	100.4
97	99	98.9	99.1	99.4	99.2	99.5
96	98.1	98	98.2	98.6	98.4	98.6
95	97.2	97.1	97.3	97.7	97.5	97.8
94	96.4	96.2	96.4	96.9	96.6	97
93	95.5	95.4	95.6	96	95.8	96.1
92	94.6	94.5	94.7	95.2	94.9	95.3
91	93.8	93.7	93.9	94.4	94.1	94.5
90	93	92.8	93.1	93.6	93.2	93.8
89	92.2	92	92.3	92.8	92.4	93
88	91.4	91.2	91.5	92.1	91.6	92.2
87	90.6	90.4	90.8	91.3	90.8	91.5
86	89.9	89.7	90	90.6	90.1	90.8
85	89.1	88.9	89.3	89.8	89.3	90.1
84	88.4	88.2	88.6	89.1	88.5	89.4
83	87.7	87.5	87.9	88.4	87.8	88.8
82	87	86.8	87.2	87.8	87.1	88.2
81	86.4	86.1	86.6	87.2	86.4	87.6
80	85.7	85.5	86	86.5	85.8	87
79	85.1	84.8	85.4	85.9	85.1	86.4
78	84.5	84.2	84.8	85.3	84.5	85.9
77	84	83.6	84.3	84.8	83.8	85.3
76	83.4	83	83.7	84.2	83.2	84.8
75	82.9	82.5	83.2	83.6	82.7	84.3
74	82.4	81.9	82.8	83.1	82.1	83.9
73	81.9	81.4	82.3	82.6	81.5	83.4
72	81.4	80.9	81.9	82.1	81	83
71	81	80.4	81.4	81.7	80.5	82.5
70	80.5	80	81.1	81.2	80	82.1
69	80.1	79.5	80.7	80.8	79.5	81.8
68	79.7	79.1	80.3	80.3	79	81.4
67	79.3	78.7	80	79.9	78.6	81
66	79	78.3	79.7	79.5	78.1	80.7
65	78.6	77.9	79.3	79.2	77.7	80.4
64	78.3	77.5	79.1	78.8	77.3	80
63	78	77.2	78.8	78.5	76.9	79.8
62	77.7	76.8	78.5	78.1	76.5	79.5
61	77.4	76.5	78.3	77.8	76.1	79.2
60	77.1	76.2	78	77.5	75.8	78.9
59	76.8	75.9	77.8	77.2	75.4	78.7
58	76.6	75.6	77.6	76.9	75.1	78.5
57	76.4	75.4	77.4	76.7	74.8	78.2
56	76.1	75.1	77.2	76.4	74.5	78
55	75.9	74.9	77	76.1	74.2	77.8
54	75.7	74.6	76.8	75.9	73.9	77.6
53	75.5	74.4	76.7	75.6	73.6	77.4
52	75.3	74.2	76.5	75.4	73.3	77.3
51	75.1	74	76.3	75.2	73	77.1
50	75	73.8	76.2	75	72.8	76.9
49	74.8	73.7	76	74.8	72.5	76.7
48	74.7	73.5	75.9	74.6	72.3	76.6
47	74.5	73.3	75.8	74.4	72.1	76.5
46	74.4	73.2	75.6	74.2	71.9	76.3
45	74.3	73.1	75.5	74	71.7	76.2
44	74.1	72.9	75.4	73.8	71.5	76.1
43	74	72.8	75.3	73.7	71.3	75.9
42	73.9	72.7	75.2	73.5	71.1	75.8
41	73.8	72.6	75.1	73.4	70.9	75.7
40	73.7	72.5	75	73.3	70.7	75.6
39	73.6	72.4	74.9	73.1	70.6	75.5
38	73.5	72.3	74.8	73	70.4	75.4
37	73.4	72.2	74.7	72.9	70.2	75.3
36	73.3	72.1	74.7	72.7	70.1	75.2
35	73.2	72	74.6	72.6	69.9	75.1
34	73.2	71.9	74.5	72.5	69.8	75
33	73.1	71.8	74.4	72.4	69.7	75
32	73	71.7	74.3	72.3	69.5	74.9
31	72.9	71.7	74.3	72.2	69.4	74.8
30	72.8	71.6	74.2	72.1	69.3	74.7
29	72.8	71.5	74.1	72	69.2	74.7
28	72.7	71.4	74	71.9	69.1	74.6
27	72.6	71.3	74	71.8	68.9	74.5
26	72.5	71.3	73.9	71.7	68.8	74.5
25	72.5	71.2	73.8	71.6	68.7	74.4
24	72.4	71.1	73.8	71.6	68.6	74.3
23	72.3	71	73.7	71.5	68.5	74.3
22	72.2	70.9	73.6	71.4	68.4	74.2
21	72.1	70.8	73.6	71.3	68.3	74.2
20	72.1	70.7	73.5	71.2	68.2	74.1
19	72	70.6	73.4	71.2	68.1	74.1
18	71.9	70.6	73.4	71.1	68	74
17	71.9	70.5	73.3	71	68	74
16	71.8	70.4	73.3	71	67.9	73.9
15	71.8	70.4	73.3	70.9	67.8	73.9
14	71.7	70.3	73.2	70.9	67.8	73.9
13	71.7	70.3	73.2	70.9	67.8	73.8
12	71.6	70.2	73.1	70.8	67.7	73.8
11	71.6	70.2	73.1	70.8	67.7	73.8
10	71.6	70.2	73.1	70.7	67.6	73.7
9	71.5	70.1	73.1	70.7	67.6	73.7
8	71.5	70.1	73	70.7	67.5	73.6
7	71.4	70	73	70.6	67.5	73.6
6	71.4	70	72.9	70.5	67.4	73.5
5	71.3	69.9	72.9	70.5	67.4	73.5
4	71.2	69.8	72.8	70.4	67.3	73.4
3	71.1	69.7	72.7	70.3	67.1	73.3
2	70.9	69.5	72.5	70.1	67	73.1
1	70.7	69.3	72.3	69.8	66.7	72.9
0	68.3	66.7	70.1	67.9	64.6	71.1

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 72.1 in Malawi, rising to 78.6 and 79.2 at 65, and to 85.7 and 86.5 at 80 — higher than the 68.3 and 67.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

East Timor

Male

Female

Malawi

Male

Female

1x

Age	Survival probability
	East Timor			Malawi
	Average	Male	Female	Average	Male	Female
100	0.09%	0.05%	0.13%	0.28%	0.11%	0.45%
99	0.15%	0.09%	0.22%	0.42%	0.17%	0.68%
98	0.25%	0.15%	0.35%	0.63%	0.26%	1%
97	0.4%	0.25%	0.56%	0.91%	0.4%	1.43%
96	0.62%	0.41%	0.85%	1.29%	0.58%	2.01%
95	0.93%	0.63%	1.26%	1.8%	0.84%	2.76%
94	1.37%	0.95%	1.83%	2.44%	1.19%	3.7%
93	1.96%	1.39%	2.59%	3.24%	1.64%	4.85%
92	2.73%	1.98%	3.56%	4.23%	2.22%	6.24%
91	3.72%	2.76%	4.78%	5.39%	2.93%	7.85%
90	4.95%	3.74%	6.28%	6.79%	3.82%	9.75%
89	6.44%	4.96%	8.05%	8.39%	4.88%	11.9%
88	8.2%	6.42%	10.1%	10.2%	6.14%	14.2%
87	10.2%	8.15%	12.5%	12.2%	7.6%	16.8%
86	12.5%	10.1%	15.1%	14.5%	9.26%	19.6%
85	15.1%	12.3%	18%	16.9%	11.1%	22.5%
84	17.9%	14.8%	21.2%	19.5%	13.2%	25.6%
83	20.8%	17.4%	24.5%	22.1%	15.4%	28.7%
82	24%	20.2%	27.9%	24.9%	17.8%	31.9%
81	27.2%	23.2%	31.4%	27.7%	20.2%	35%
80	30.5%	26.2%	35%	30.6%	22.8%	38.2%
79	33.8%	29.3%	38.5%	33.5%	25.5%	41.3%
78	37%	32.5%	42%	36.4%	28.2%	44.4%
77	40.3%	35.6%	45.4%	39.3%	31%	47.4%
76	43.5%	38.7%	48.6%	42.1%	33.7%	50.3%
75	46.6%	41.8%	51.8%	44.9%	36.5%	53.1%
74	49.6%	44.9%	54.8%	47.7%	39.2%	55.8%
73	52.5%	47.8%	57.6%	50.3%	41.9%	58.4%
72	55.3%	50.7%	60.3%	52.9%	44.6%	60.9%
71	57.9%	53.4%	62.9%	55.3%	47.1%	63.2%
70	60.4%	56.1%	65.2%	57.7%	49.6%	65.4%
69	62.8%	58.6%	67.4%	59.9%	52%	67.4%
68	65%	61%	69.5%	62.1%	54.3%	69.4%
67	67.1%	63.2%	71.4%	64.1%	56.5%	71.2%
66	69%	65.4%	73.1%	66%	58.7%	72.9%
65	70.9%	67.4%	74.7%	67.8%	60.7%	74.5%
64	72.6%	69.3%	76.2%	69.5%	62.7%	76%
63	74.2%	71.1%	77.6%	71.1%	64.6%	77.4%
62	75.7%	72.7%	78.9%	72.7%	66.4%	78.7%
61	77%	74.3%	80%	74.1%	68.1%	79.9%
60	78.3%	75.8%	81.1%	75.4%	69.7%	81%
59	79.5%	77.1%	82.1%	76.6%	71.2%	82%
58	80.6%	78.4%	83%	77.8%	72.6%	83%
57	81.6%	79.6%	83.9%	78.9%	74%	83.8%
56	82.6%	80.7%	84.7%	80%	75.2%	84.7%
55	83.5%	81.7%	85.4%	81%	76.5%	85.5%
54	84.3%	82.6%	86.1%	81.9%	77.6%	86.2%
53	85%	83.5%	86.7%	82.8%	78.7%	86.9%
52	85.7%	84.2%	87.3%	83.7%	79.8%	87.5%
51	86.4%	85%	87.9%	84.5%	80.7%	88.1%
50	87%	85.6%	88.4%	85.2%	81.7%	88.7%
49	87.5%	86.3%	88.9%	85.9%	82.5%	89.2%
48	88%	86.8%	89.3%	86.6%	83.3%	89.7%
47	88.5%	87.3%	89.7%	87.2%	84.1%	90.1%
46	88.9%	87.8%	90.1%	87.7%	84.8%	90.5%
45	89.3%	88.3%	90.5%	88.3%	85.5%	90.9%
44	89.7%	88.7%	90.8%	88.8%	86.1%	91.3%
43	90.1%	89.1%	91.1%	89.2%	86.7%	91.6%
42	90.4%	89.4%	91.4%	89.7%	87.3%	92%
41	90.7%	89.7%	91.7%	90.1%	87.8%	92.3%
40	91%	90%	91.9%	90.5%	88.3%	92.5%
39	91.2%	90.3%	92.2%	90.8%	88.8%	92.8%
38	91.5%	90.6%	92.4%	91.2%	89.3%	93.1%
37	91.7%	90.8%	92.6%	91.5%	89.7%	93.3%
36	91.9%	91%	92.8%	91.8%	90.1%	93.5%
35	92.1%	91.3%	93%	92.1%	90.5%	93.7%
34	92.3%	91.5%	93.2%	92.4%	90.8%	93.9%
33	92.5%	91.7%	93.4%	92.6%	91.1%	94.1%
32	92.7%	91.9%	93.6%	92.9%	91.5%	94.3%
31	92.9%	92%	93.7%	93.1%	91.8%	94.4%
30	93%	92.2%	93.9%	93.3%	92.1%	94.6%
29	93.2%	92.4%	94%	93.5%	92.3%	94.7%
28	93.4%	92.6%	94.2%	93.7%	92.6%	94.9%
27	93.5%	92.8%	94.3%	93.9%	92.9%	95%
26	93.7%	92.9%	94.5%	94.1%	93.1%	95.1%
25	93.8%	93.1%	94.6%	94.3%	93.3%	95.2%
24	94%	93.3%	94.7%	94.5%	93.6%	95.4%
23	94.1%	93.5%	94.9%	94.6%	93.8%	95.5%
22	94.3%	93.6%	95%	94.8%	94%	95.6%
21	94.4%	93.8%	95.1%	94.9%	94.2%	95.7%
20	94.6%	94%	95.2%	95.1%	94.4%	95.8%
19	94.7%	94.1%	95.3%	95.2%	94.6%	95.9%
18	94.8%	94.2%	95.4%	95.3%	94.7%	96%
17	94.9%	94.4%	95.5%	95.4%	94.9%	96%
16	95%	94.5%	95.6%	95.5%	95%	96.1%
15	95.1%	94.6%	95.6%	95.6%	95.1%	96.2%
14	95.2%	94.7%	95.7%	95.7%	95.2%	96.2%
13	95.2%	94.7%	95.8%	95.8%	95.2%	96.3%
12	95.3%	94.8%	95.8%	95.8%	95.3%	96.3%
11	95.3%	94.9%	95.9%	95.9%	95.4%	96.4%
10	95.4%	94.9%	95.9%	95.9%	95.4%	96.4%
9	95.5%	95%	96%	96%	95.5%	96.5%
8	95.5%	95.1%	96%	96.1%	95.6%	96.5%
7	95.6%	95.1%	96.1%	96.1%	95.7%	96.6%
6	95.7%	95.2%	96.1%	96.2%	95.8%	96.7%
5	95.8%	95.3%	96.2%	96.3%	95.9%	96.8%
4	95.9%	95.5%	96.4%	96.5%	96%	96.9%
3	96.1%	95.7%	96.5%	96.6%	96.2%	97%
2	96.3%	95.9%	96.7%	96.9%	96.5%	97.3%
1	96.6%	96.2%	97%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 78.3% of newborns in East Timor and 75.4% in Malawi are expected to live past 60, 60.4% and 57.7% past 70, 30.5% and 30.6% past 80, and only 4.95% and 6.79% 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

Malawi

Male

Female

1x

Age	Probability of dying
	East Timor			Malawi
	Average	Male	Female	Average	Male	Female
100	42.8%	44.7%	41.9%	35.9%	38.2%	35.3%
99	41%	42.9%	40.1%	34.4%	36.8%	33.8%
98	39.2%	41.1%	38.3%	32.6%	35.1%	31.9%
97	37.4%	39.2%	36.4%	31.2%	33.7%	30.4%
96	35.6%	37.4%	34.6%	29.7%	32.3%	28.8%
95	33.8%	35.5%	32.8%	28.1%	30.8%	27.2%
94	32%	33.6%	31%	26.3%	29.1%	25.4%
93	30.2%	31.8%	29.2%	24.7%	27.5%	23.7%
92	28.4%	29.9%	27.4%	23.3%	26%	22.2%
91	26.6%	28.1%	25.6%	21.6%	24.4%	20.5%
90	24.8%	26.3%	23.8%	20.6%	23.3%	19.5%
89	23.1%	24.5%	22.1%	19%	21.7%	17.8%
88	21.5%	22.8%	20.4%	17.8%	20.5%	16.6%
87	19.9%	21.1%	18.9%	16.6%	19.2%	15.3%
86	18.4%	19.5%	17.5%	15.4%	18%	14.2%
85	16.9%	18%	16.1%	14.3%	16.7%	13.1%
84	15.6%	16.5%	14.8%	13.3%	15.6%	12%
83	14.3%	15.1%	13.6%	12.1%	14.4%	10.9%
82	13%	13.9%	12.4%	11.1%	13.3%	9.93%
81	11.9%	12.7%	11.2%	10.1%	12.1%	8.87%
80	10.8%	11.6%	10.2%	9.44%	11.4%	8.27%
79	9.77%	10.6%	9.15%	8.65%	10.4%	7.55%
78	8.86%	9.69%	8.25%	8.01%	9.69%	6.95%
77	8.04%	8.86%	7.43%	7.31%	8.88%	6.31%
76	7.32%	8.1%	6.71%	6.76%	8.21%	5.8%
75	6.66%	7.4%	6.06%	6.27%	7.59%	5.34%
74	6.07%	6.76%	5.48%	5.75%	6.98%	4.86%
73	5.53%	6.17%	4.96%	5.28%	6.42%	4.43%
72	5.03%	5.63%	4.47%	4.86%	5.92%	4.05%
71	4.57%	5.14%	4.03%	4.4%	5.38%	3.63%
70	4.15%	4.69%	3.63%	4.11%	5.03%	3.39%
69	3.77%	4.29%	3.26%	3.72%	4.59%	3.03%
68	3.42%	3.92%	2.94%	3.43%	4.25%	2.78%
67	3.1%	3.58%	2.65%	3.15%	3.93%	2.54%
66	2.82%	3.27%	2.39%	2.9%	3.64%	2.33%
65	2.57%	3%	2.16%	2.7%	3.4%	2.17%
64	2.35%	2.74%	1.96%	2.47%	3.15%	1.97%
63	2.15%	2.51%	1.77%	2.27%	2.92%	1.8%
62	1.96%	2.3%	1.61%	2.09%	2.7%	1.65%
61	1.79%	2.11%	1.46%	1.9%	2.48%	1.49%
60	1.64%	1.93%	1.33%	1.77%	2.32%	1.39%
59	1.5%	1.77%	1.21%	1.62%	2.12%	1.25%
58	1.37%	1.62%	1.11%	1.5%	1.97%	1.15%
57	1.26%	1.48%	1.02%	1.4%	1.83%	1.06%
56	1.15%	1.35%	0.94%	1.31%	1.7%	0.98%
55	1.06%	1.23%	0.86%	1.23%	1.59%	0.91%
54	0.97%	1.12%	0.8%	1.16%	1.49%	0.85%
53	0.89%	1.02%	0.74%	1.09%	1.39%	0.79%
52	0.81%	0.93%	0.68%	1.02%	1.3%	0.74%
51	0.75%	0.85%	0.63%	0.94%	1.21%	0.67%
50	0.69%	0.78%	0.58%	0.89%	1.14%	0.63%
49	0.63%	0.71%	0.54%	0.82%	1.05%	0.58%
48	0.58%	0.65%	0.5%	0.76%	0.98%	0.54%
47	0.53%	0.6%	0.46%	0.7%	0.91%	0.5%
46	0.49%	0.55%	0.43%	0.65%	0.84%	0.46%
45	0.45%	0.5%	0.39%	0.6%	0.79%	0.43%
44	0.41%	0.46%	0.37%	0.56%	0.74%	0.4%
43	0.38%	0.42%	0.34%	0.52%	0.69%	0.37%
42	0.35%	0.39%	0.32%	0.49%	0.65%	0.35%
41	0.33%	0.36%	0.3%	0.45%	0.6%	0.33%
40	0.31%	0.33%	0.28%	0.43%	0.57%	0.31%
39	0.29%	0.31%	0.26%	0.4%	0.53%	0.29%
38	0.27%	0.29%	0.25%	0.38%	0.5%	0.27%
37	0.25%	0.27%	0.23%	0.35%	0.47%	0.25%
36	0.24%	0.26%	0.22%	0.33%	0.44%	0.23%
35	0.23%	0.24%	0.21%	0.31%	0.42%	0.22%
34	0.22%	0.23%	0.2%	0.29%	0.39%	0.21%
33	0.21%	0.22%	0.19%	0.28%	0.37%	0.19%
32	0.2%	0.21%	0.18%	0.26%	0.35%	0.18%
31	0.19%	0.2%	0.18%	0.25%	0.33%	0.17%
30	0.18%	0.2%	0.17%	0.24%	0.32%	0.16%
29	0.18%	0.19%	0.16%	0.23%	0.3%	0.15%
28	0.17%	0.19%	0.16%	0.22%	0.29%	0.15%
27	0.17%	0.19%	0.15%	0.21%	0.27%	0.14%
26	0.17%	0.19%	0.15%	0.2%	0.26%	0.13%
25	0.17%	0.19%	0.14%	0.19%	0.25%	0.13%
24	0.16%	0.19%	0.14%	0.18%	0.24%	0.12%
23	0.16%	0.19%	0.13%	0.18%	0.24%	0.12%
22	0.16%	0.19%	0.13%	0.17%	0.23%	0.11%
21	0.15%	0.18%	0.12%	0.16%	0.21%	0.11%
20	0.14%	0.17%	0.12%	0.15%	0.2%	0.1%
19	0.13%	0.16%	0.11%	0.14%	0.19%	0.1%
18	0.12%	0.15%	0.1%	0.13%	0.17%	0.09%
17	0.11%	0.13%	0.09%	0.11%	0.15%	0.08%
16	0.1%	0.11%	0.08%	0.1%	0.12%	0.08%
15	0.09%	0.1%	0.07%	0.09%	0.1%	0.07%
14	0.08%	0.09%	0.06%	0.07%	0.09%	0.06%
13	0.07%	0.08%	0.06%	0.07%	0.08%	0.06%
12	0.06%	0.07%	0.05%	0.06%	0.07%	0.05%
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%	0.07%	0.07%	0.06%
8	0.07%	0.08%	0.06%	0.07%	0.08%	0.06%
7	0.07%	0.09%	0.06%	0.08%	0.09%	0.07%
6	0.09%	0.1%	0.08%	0.09%	0.1%	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%	0.17%	0.19%	0.16%
2	0.24%	0.25%	0.22%	0.25%	0.27%	0.22%
1	0.31%	0.32%	0.31%	0.39%	0.42%	0.36%
0	3.39%	3.78%	2.97%	2.76%	3.13%	2.38%

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

The annual chance of dying is 3.39% in the birth year in East Timor and 2.76% in Malawi, 0.18% vs 0.24% at age 30, 1.64% vs 1.77% at 60, and 10.8% vs 9.44% at 80.

Death rate by age in East Timor vs Malawi

Chart Table

East Timor

Male

Female

Malawi

Male

Female

1x

Age	Death rate
	East Timor			Malawi
	Total	Male	Female	Total	Male	Female
100	0	0	0	34.7	0.008	71
99	61.8	39	87.4	145.2	62.6	229.1
98	97.3	63.4	135.2	204.3	91.9	318
97	148.3	99.6	202.6	283.6	133.3	435
96	219.3	151.6	294.2	384	188.4	580
95	314	223.2	415	505	259.5	751
94	437	319	567	643	345	939
93	591	441	754	802	451	1,153
92	775	593	974	983	576	1,387
91	990	775	1,222	1,166	714	1,612
90	1,230	984	1,493	1,399	890	1,900
89	1,489	1,217	1,778	1,594	1,061	2,117
88	1,760	1,466	2,070	1,819	1,259	2,365
87	2,034	1,723	2,360	2,026	1,457	2,578
86	2,301	1,977	2,639	2,231	1,664	2,778
85	2,553	2,220	2,899	2,412	1,861	2,944
84	2,780	2,442	3,129	2,577	2,061	3,073
83	2,972	2,637	3,316	2,684	2,217	3,131
82	3,121	2,803	3,452	2,777	2,368	3,168
81	3,224	2,937	3,530	2,788	2,455	3,104
80	3,282	3,038	3,553	2,887	2,601	3,158
79	3,299	3,108	3,527	2,894	2,661	3,115
78	3,282	3,146	3,463	2,915	2,734	3,085
77	3,240	3,155	3,372	2,869	2,749	2,989
76	3,180	3,138	3,263	2,847	2,770	2,916
75	3,104	3,095	3,139	2,815	2,769	2,834
74	3,011	3,032	3,003	2,739	2,737	2,711
73	2,903	2,951	2,856	2,655	2,691	2,586
72	2,781	2,855	2,699	2,572	2,639	2,467
71	2,648	2,747	2,535	2,433	2,537	2,293
70	2,509	2,632	2,368	2,371	2,494	2,214
69	2,366	2,511	2,201	2,226	2,386	2,040
68	2,223	2,387	2,041	2,127	2,309	1,930
67	2,083	2,263	1,889	2,016	2,222	1,808
66	1,950	2,139	1,746	1,912	2,137	1,699
65	1,824	2,018	1,614	1,828	2,067	1,615
64	1,705	1,900	1,491	1,716	1,973	1,499
63	1,592	1,785	1,377	1,612	1,883	1,395
62	1,484	1,675	1,270	1,516	1,794	1,300
61	1,382	1,568	1,171	1,405	1,687	1,188
60	1,285	1,465	1,080	1,338	1,616	1,125
59	1,194	1,366	997	1,239	1,510	1,025
58	1,108	1,270	921	1,171	1,430	958
57	1,027	1,177	853	1,102	1,350	887
56	951	1,089	792	1,048	1,282	833
55	881	1,005	737	996	1,219	778
54	815	927	686	949	1,157	731
53	755	854	640	900	1,096	684
52	698	787	596	855	1,040	645
51	645	725	555	798	975	592
50	596	668	516	759	929	563
49	550	616	479	702	865	517
48	508	567	445	655	813	482
47	469	522	413	609	762	446
46	433	481	383	568	716	416
45	400	442	356	533	677	392
44	370	407	332	496	634	365
43	343	375	310	465	598	343
42	319	347	289.8	438	566	324
41	297	321	272.2	408	530	299.9
40	277.7	298.5	256.3	388	506	285.2
39	260.5	278.6	242	363	474	265.1
38	245.2	261.2	229	343	449	249.3
37	231.6	246	217.1	322	423	232
36	219.4	232.7	206.2	304	399	218.8
35	208.5	221	196.1	288.1	378	205.9
34	198.8	210.7	186.9	271.5	356	192.6
33	190	201.5	178.6	257	337	181.7
32	182.2	193.3	171.2	244.2	320	171.7
31	175.4	186.3	164.5	230.4	302	160.6
30	169.5	180.5	158.5	222	290.7	154.7
29	164.8	176.2	153	210.9	276.4	146.2
28	161	173.6	148.1	201.9	265	139.1
27	158.3	172.7	143.4	193.4	254.5	132.5
26	156.3	173.3	139	185.6	245.1	126.3
25	155	174.7	134.7	178.7	237.2	120.4
24	153.7	176.2	130.4	172.2	229	115.6
23	151.8	176.7	126	165.6	221	110.5
22	148.8	175.2	121.3	158.7	211.8	105.8
21	143.9	170.7	116.1	151	201	101.2
20	137	162.8	110.2	143.1	189.1	97.4
19	127.8	151.5	103.2	133.8	175.4	92.3
18	116.8	137.5	95.3	123.3	160.2	86.6
17	104.7	122.1	86.7	108.6	137.6	79.6
16	92.5	106.7	77.8	94.9	117	72.7
15	81.3	92.6	69.4	82	98.8	65.2
14	71.6	80.9	61.9	71.7	85	58.4
13	64.2	72.1	55.9	64.5	75.3	53.7
12	59	66.1	51.5	60.4	70.1	50.6
11	56.2	63.1	48.9	59	68.1	49.8
10	55.7	62.9	48.3	59.7	68.2	51.1
9	57.8	65.7	49.8	62.8	71.3	54.1
8	62.9	71.6	53.8	68.3	77.3	59.2
7	71.5	81.4	61.3	76.3	85.7	66.7
6	84.9	96	73.4	85.9	95.4	76.4
5	104.6	116.8	91.9	100.2	110	90.4
4	132.9	145.7	119.4	126.8	139.2	114.2
3	172.5	184.8	159.4	168.3	184.6	151.7
2	227.1	237.1	216.5	237.5	258.9	215.8
1	301	306	296.6	379	404	353
0	3,388	3,779	2,971	2,759	3,129	2,385

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 78 in Malawi. The median age of death is 73.9 in East Timor and 73.1 in Malawi, 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 Malawi more than their death rates.

Life expectancy in other countries

+ -

1x