Life Expectancy in East Timor vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

East Timor

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	East Timor			South Africa
	Average	Male	Female	Average	Male	Female
100	101.7	101.7	101.8	103.4	103.1	103.5
99	100.8	100.7	100.9	102.5	102.3	102.6
98	99.9	99.8	100	101.7	101.5	101.7
97	99	98.9	99.1	100.8	100.7	100.9
96	98.1	98	98.2	100	99.9	100
95	97.2	97.1	97.3	99.2	99.1	99.2
94	96.4	96.2	96.4	98.4	98.3	98.4
93	95.5	95.4	95.6	97.6	97.5	97.7
92	94.6	94.5	94.7	96.9	96.7	96.9
91	93.8	93.7	93.9	96.1	96	96.2
90	93	92.8	93.1	95.4	95.2	95.5
89	92.2	92	92.3	94.7	94.4	94.8
88	91.4	91.2	91.5	94	93.7	94.1
87	90.6	90.4	90.8	93.3	92.9	93.4
86	89.9	89.7	90	92.6	92.2	92.7
85	89.1	88.9	89.3	91.9	91.5	92.1
84	88.4	88.2	88.6	91.3	90.8	91.5
83	87.7	87.5	87.9	90.6	90.1	90.9
82	87	86.8	87.2	90	89.4	90.3
81	86.4	86.1	86.6	89.4	88.7	89.7
80	85.7	85.5	86	88.8	88	89.1
79	85.1	84.8	85.4	88.1	87.4	88.5
78	84.5	84.2	84.8	87.5	86.7	88
77	84	83.6	84.3	86.9	86	87.4
76	83.4	83	83.7	86.3	85.3	86.9
75	82.9	82.5	83.2	85.7	84.7	86.4
74	82.4	81.9	82.8	85.2	84	85.9
73	81.9	81.4	82.3	84.6	83.4	85.4
72	81.4	80.9	81.9	84.1	82.8	84.9
71	81	80.4	81.4	83.6	82.2	84.5
70	80.5	80	81.1	83.1	81.7	84.1
69	80.1	79.5	80.7	82.6	81.1	83.6
68	79.7	79.1	80.3	82.1	80.5	83.2
67	79.3	78.7	80	81.6	80	82.8
66	79	78.3	79.7	81.2	79.4	82.4
65	78.6	77.9	79.3	80.7	78.9	82.1
64	78.3	77.5	79.1	80.3	78.4	81.7
63	78	77.2	78.8	79.9	77.9	81.4
62	77.7	76.8	78.5	79.4	77.4	81
61	77.4	76.5	78.3	79	76.9	80.7
60	77.1	76.2	78	78.7	76.5	80.4
59	76.8	75.9	77.8	78.3	76	80.1
58	76.6	75.6	77.6	77.9	75.6	79.8
57	76.4	75.4	77.4	77.5	75.2	79.5
56	76.1	75.1	77.2	77.2	74.8	79.2
55	75.9	74.9	77	76.9	74.4	78.9
54	75.7	74.6	76.8	76.5	74	78.7
53	75.5	74.4	76.7	76.2	73.6	78.4
52	75.3	74.2	76.5	75.9	73.3	78.2
51	75.1	74	76.3	75.6	72.9	77.9
50	75	73.8	76.2	75.3	72.6	77.7
49	74.8	73.7	76	75	72.2	77.4
48	74.7	73.5	75.9	74.7	71.9	77.2
47	74.5	73.3	75.8	74.4	71.6	77
46	74.4	73.2	75.6	74.2	71.3	76.7
45	74.3	73.1	75.5	73.9	71	76.5
44	74.1	72.9	75.4	73.6	70.7	76.3
43	74	72.8	75.3	73.4	70.4	76.1
42	73.9	72.7	75.2	73.1	70.2	75.8
41	73.8	72.6	75.1	72.9	69.9	75.6
40	73.7	72.5	75	72.6	69.7	75.4
39	73.6	72.4	74.9	72.4	69.4	75.2
38	73.5	72.3	74.8	72.2	69.2	75
37	73.4	72.2	74.7	72	68.9	74.8
36	73.3	72.1	74.7	71.8	68.7	74.6
35	73.2	72	74.6	71.6	68.5	74.5
34	73.2	71.9	74.5	71.4	68.3	74.3
33	73.1	71.8	74.4	71.2	68.1	74.1
32	73	71.7	74.3	71	67.9	73.9
31	72.9	71.7	74.3	70.8	67.7	73.8
30	72.8	71.6	74.2	70.6	67.5	73.6
29	72.8	71.5	74.1	70.4	67.3	73.5
28	72.7	71.4	74	70.3	67.1	73.3
27	72.6	71.3	74	70.1	66.9	73.2
26	72.5	71.3	73.9	70	66.8	73.1
25	72.5	71.2	73.8	69.9	66.6	73
24	72.4	71.1	73.8	69.7	66.5	72.9
23	72.3	71	73.7	69.6	66.3	72.8
22	72.2	70.9	73.6	69.5	66.2	72.7
21	72.1	70.8	73.6	69.4	66.1	72.6
20	72.1	70.7	73.5	69.3	66	72.6
19	72	70.6	73.4	69.2	65.9	72.5
18	71.9	70.6	73.4	69.2	65.8	72.4
17	71.9	70.5	73.3	69.1	65.7	72.4
16	71.8	70.4	73.3	69	65.7	72.3
15	71.8	70.4	73.3	69	65.6	72.3
14	71.7	70.3	73.2	68.9	65.6	72.3
13	71.7	70.3	73.2	68.9	65.5	72.2
12	71.6	70.2	73.1	68.9	65.5	72.2
11	71.6	70.2	73.1	68.9	65.5	72.2
10	71.6	70.2	73.1	68.8	65.4	72.2
9	71.5	70.1	73.1	68.8	65.4	72.1
8	71.5	70.1	73	68.8	65.4	72.1
7	71.4	70	73	68.8	65.4	72.1
6	71.4	70	72.9	68.7	65.3	72.1
5	71.3	69.9	72.9	68.7	65.3	72
4	71.2	69.8	72.8	68.6	65.2	72
3	71.1	69.7	72.7	68.5	65.1	71.9
2	70.9	69.5	72.5	68.4	64.9	71.8
1	70.7	69.3	72.3	68.1	64.7	71.5
0	68.3	66.7	70.1	66.7	63.1	70.2

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 70.6 in South Africa, rising to 78.6 and 80.7 at 65, and to 85.7 and 88.8 at 80 — higher than the 68.3 and 66.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

East Timor

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	East Timor			South Africa
	Average	Male	Female	Average	Male	Female
100	0.09%	0.05%	0.13%	1.63%	1%	2.22%
99	0.15%	0.09%	0.22%	2.11%	1.28%	2.88%
98	0.25%	0.15%	0.35%	2.68%	1.62%	3.67%
97	0.4%	0.25%	0.56%	3.36%	2.02%	4.59%
96	0.62%	0.41%	0.85%	4.15%	2.5%	5.67%
95	0.93%	0.63%	1.26%	5.06%	3.06%	6.91%
94	1.37%	0.95%	1.83%	6.09%	3.7%	8.3%
93	1.96%	1.39%	2.59%	7.24%	4.43%	9.84%
92	2.73%	1.98%	3.56%	8.49%	5.25%	11.5%
91	3.72%	2.76%	4.78%	9.86%	6.16%	13.3%
90	4.95%	3.74%	6.28%	11.3%	7.18%	15.2%
89	6.44%	4.96%	8.05%	12.9%	8.29%	17.3%
88	8.2%	6.42%	10.1%	14.6%	9.51%	19.4%
87	10.2%	8.15%	12.5%	16.4%	10.8%	21.7%
86	12.5%	10.1%	15.1%	18.2%	12.2%	24%
85	15.1%	12.3%	18%	20.1%	13.7%	26.3%
84	17.9%	14.8%	21.2%	22.1%	15.2%	28.6%
83	20.8%	17.4%	24.5%	24%	16.8%	31%
82	24%	20.2%	27.9%	26%	18.5%	33.4%
81	27.2%	23.2%	31.4%	28.1%	20.2%	35.8%
80	30.5%	26.2%	35%	30.2%	22%	38.2%
79	33.8%	29.3%	38.5%	32.3%	23.9%	40.6%
78	37%	32.5%	42%	34.6%	25.9%	43%
77	40.3%	35.6%	45.4%	36.8%	28%	45.4%
76	43.5%	38.7%	48.6%	39%	30.1%	47.7%
75	46.6%	41.8%	51.8%	41.2%	32.3%	50%
74	49.6%	44.9%	54.8%	43.4%	34.4%	52.1%
73	52.5%	47.8%	57.6%	45.5%	36.6%	54.2%
72	55.3%	50.7%	60.3%	47.5%	38.7%	56.2%
71	57.9%	53.4%	62.9%	49.6%	40.8%	58.2%
70	60.4%	56.1%	65.2%	51.6%	42.9%	60%
69	62.8%	58.6%	67.4%	53.5%	45.1%	61.9%
68	65%	61%	69.5%	55.5%	47.2%	63.6%
67	67.1%	63.2%	71.4%	57.3%	49.3%	65.3%
66	69%	65.4%	73.1%	59.2%	51.4%	66.8%
65	70.9%	67.4%	74.7%	60.9%	53.4%	68.3%
64	72.6%	69.3%	76.2%	62.6%	55.4%	69.8%
63	74.2%	71.1%	77.6%	64.2%	57.3%	71.1%
62	75.7%	72.7%	78.9%	65.7%	59.1%	72.4%
61	77%	74.3%	80%	67.2%	60.9%	73.6%
60	78.3%	75.8%	81.1%	68.7%	62.6%	74.7%
59	79.5%	77.1%	82.1%	70%	64.3%	75.9%
58	80.6%	78.4%	83%	71.4%	65.9%	76.9%
57	81.6%	79.6%	83.9%	72.7%	67.5%	78%
56	82.6%	80.7%	84.7%	73.9%	69%	78.9%
55	83.5%	81.7%	85.4%	75.1%	70.5%	79.9%
54	84.3%	82.6%	86.1%	76.2%	71.9%	80.7%
53	85%	83.5%	86.7%	77.3%	73.2%	81.6%
52	85.7%	84.2%	87.3%	78.4%	74.5%	82.4%
51	86.4%	85%	87.9%	79.4%	75.7%	83.1%
50	87%	85.6%	88.4%	80.3%	76.9%	83.9%
49	87.5%	86.3%	88.9%	81.2%	78%	84.6%
48	88%	86.8%	89.3%	82.1%	79.1%	85.3%
47	88.5%	87.3%	89.7%	83%	80.1%	85.9%
46	88.9%	87.8%	90.1%	83.8%	81.1%	86.6%
45	89.3%	88.3%	90.5%	84.6%	82%	87.2%
44	89.7%	88.7%	90.8%	85.3%	82.9%	87.8%
43	90.1%	89.1%	91.1%	86%	83.7%	88.4%
42	90.4%	89.4%	91.4%	86.7%	84.5%	89%
41	90.7%	89.7%	91.7%	87.4%	85.3%	89.6%
40	91%	90%	91.9%	88.1%	86%	90.1%
39	91.2%	90.3%	92.2%	88.7%	86.7%	90.6%
38	91.5%	90.6%	92.4%	89.2%	87.4%	91.1%
37	91.7%	90.8%	92.6%	89.8%	88.1%	91.6%
36	91.9%	91%	92.8%	90.4%	88.7%	92%
35	92.1%	91.3%	93%	90.9%	89.3%	92.5%
34	92.3%	91.5%	93.2%	91.4%	89.9%	92.9%
33	92.5%	91.7%	93.4%	91.8%	90.4%	93.3%
32	92.7%	91.9%	93.6%	92.3%	91%	93.6%
31	92.9%	92%	93.7%	92.7%	91.5%	94%
30	93%	92.2%	93.9%	93.1%	91.9%	94.3%
29	93.2%	92.4%	94%	93.5%	92.4%	94.6%
28	93.4%	92.6%	94.2%	93.9%	92.8%	94.9%
27	93.5%	92.8%	94.3%	94.2%	93.2%	95.2%
26	93.7%	92.9%	94.5%	94.5%	93.6%	95.4%
25	93.8%	93.1%	94.6%	94.8%	94%	95.7%
24	94%	93.3%	94.7%	95.1%	94.3%	95.9%
23	94.1%	93.5%	94.9%	95.3%	94.6%	96%
22	94.3%	93.6%	95%	95.5%	94.9%	96.2%
21	94.4%	93.8%	95.1%	95.7%	95.1%	96.3%
20	94.6%	94%	95.2%	95.9%	95.4%	96.5%
19	94.7%	94.1%	95.3%	96.1%	95.6%	96.6%
18	94.8%	94.2%	95.4%	96.2%	95.7%	96.7%
17	94.9%	94.4%	95.5%	96.3%	95.9%	96.8%
16	95%	94.5%	95.6%	96.4%	96%	96.9%
15	95.1%	94.6%	95.6%	96.5%	96.1%	97%
14	95.2%	94.7%	95.7%	96.6%	96.2%	97%
13	95.2%	94.7%	95.8%	96.6%	96.2%	97.1%
12	95.3%	94.8%	95.8%	96.7%	96.3%	97.1%
11	95.3%	94.9%	95.9%	96.7%	96.3%	97.1%
10	95.4%	94.9%	95.9%	96.8%	96.4%	97.2%
9	95.5%	95%	96%	96.8%	96.4%	97.2%
8	95.5%	95.1%	96%	96.8%	96.5%	97.2%
7	95.6%	95.1%	96.1%	96.9%	96.5%	97.3%
6	95.7%	95.2%	96.1%	96.9%	96.6%	97.3%
5	95.8%	95.3%	96.2%	97%	96.7%	97.4%
4	95.9%	95.5%	96.4%	97.1%	96.8%	97.4%
3	96.1%	95.7%	96.5%	97.2%	96.9%	97.6%
2	96.3%	95.9%	96.7%	97.5%	97.2%	97.8%
1	96.6%	96.2%	97%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 78.3% of newborns in East Timor and 68.7% in South Africa are expected to live past 60, 60.4% and 51.6% past 70, 30.5% and 30.2% past 80, and only 4.95% and 11.3% 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

South Africa

Male

Female

1x

Age	Probability of dying
	East Timor			South Africa
	Average	Male	Female	Average	Male	Female
100	42.8%	44.7%	41.9%	23.6%	22.9%	23.9%
99	41%	42.9%	40.1%	22.5%	22%	22.8%
98	39.2%	41.1%	38.3%	21.3%	21%	21.5%
97	37.4%	39.2%	36.4%	20.2%	20%	20.2%
96	35.6%	37.4%	34.6%	19%	19.1%	19%
95	33.8%	35.5%	32.8%	18%	18.2%	17.9%
94	32%	33.6%	31%	16.9%	17.3%	16.8%
93	30.2%	31.8%	29.2%	15.9%	16.5%	15.6%
92	28.4%	29.9%	27.4%	14.8%	15.6%	14.5%
91	26.6%	28.1%	25.6%	13.8%	14.8%	13.5%
90	24.8%	26.3%	23.8%	13%	14.1%	12.6%
89	23.1%	24.5%	22.1%	12.3%	13.5%	11.8%
88	21.5%	22.8%	20.4%	11.5%	12.8%	11.1%
87	19.9%	21.1%	18.9%	10.8%	12.1%	10.3%
86	18.4%	19.5%	17.5%	10.1%	11.4%	9.6%
85	16.9%	18%	16.1%	9.43%	10.7%	8.88%
84	15.6%	16.5%	14.8%	8.78%	10%	8.21%
83	14.3%	15.1%	13.6%	8.21%	9.46%	7.62%
82	13%	13.9%	12.4%	7.71%	8.97%	7.1%
81	11.9%	12.7%	11.2%	7.3%	8.57%	6.66%
80	10.8%	11.6%	10.2%	6.96%	8.26%	6.28%
79	9.77%	10.6%	9.15%	6.67%	8%	5.94%
78	8.86%	9.69%	8.25%	6.37%	7.73%	5.61%
77	8.04%	8.86%	7.43%	6.06%	7.42%	5.26%
76	7.32%	8.1%	6.71%	5.71%	7.05%	4.89%
75	6.66%	7.4%	6.06%	5.35%	6.64%	4.53%
74	6.07%	6.76%	5.48%	4.98%	6.22%	4.17%
73	5.53%	6.17%	4.96%	4.64%	5.83%	3.85%
72	5.03%	5.63%	4.47%	4.34%	5.49%	3.57%
71	4.57%	5.14%	4.03%	4.09%	5.2%	3.33%
70	4.15%	4.69%	3.63%	3.87%	4.95%	3.12%
69	3.77%	4.29%	3.26%	3.67%	4.72%	2.92%
68	3.42%	3.92%	2.94%	3.48%	4.5%	2.74%
67	3.1%	3.58%	2.65%	3.28%	4.28%	2.55%
66	2.82%	3.27%	2.39%	3.08%	4.04%	2.37%
65	2.57%	3%	2.16%	2.88%	3.79%	2.19%
64	2.35%	2.74%	1.96%	2.68%	3.55%	2.03%
63	2.15%	2.51%	1.77%	2.5%	3.32%	1.88%
62	1.96%	2.3%	1.61%	2.34%	3.11%	1.75%
61	1.79%	2.11%	1.46%	2.2%	2.93%	1.65%
60	1.64%	1.93%	1.33%	2.08%	2.76%	1.55%
59	1.5%	1.77%	1.21%	1.98%	2.61%	1.47%
58	1.37%	1.62%	1.11%	1.88%	2.47%	1.39%
57	1.26%	1.48%	1.02%	1.78%	2.33%	1.32%
56	1.15%	1.35%	0.94%	1.68%	2.2%	1.24%
55	1.06%	1.23%	0.86%	1.58%	2.07%	1.16%
54	0.97%	1.12%	0.8%	1.49%	1.94%	1.09%
53	0.89%	1.02%	0.74%	1.4%	1.83%	1.02%
52	0.81%	0.93%	0.68%	1.32%	1.72%	0.96%
51	0.75%	0.85%	0.63%	1.25%	1.62%	0.91%
50	0.69%	0.78%	0.58%	1.19%	1.52%	0.87%
49	0.63%	0.71%	0.54%	1.13%	1.44%	0.84%
48	0.58%	0.65%	0.5%	1.08%	1.35%	0.8%
47	0.53%	0.6%	0.46%	1.03%	1.28%	0.78%
46	0.49%	0.55%	0.43%	0.98%	1.2%	0.75%
45	0.45%	0.5%	0.39%	0.93%	1.13%	0.73%
44	0.41%	0.46%	0.37%	0.88%	1.07%	0.7%
43	0.38%	0.42%	0.34%	0.84%	1.01%	0.68%
42	0.35%	0.39%	0.32%	0.8%	0.95%	0.65%
41	0.33%	0.36%	0.3%	0.76%	0.9%	0.63%
40	0.31%	0.33%	0.28%	0.73%	0.86%	0.6%
39	0.29%	0.31%	0.26%	0.69%	0.82%	0.57%
38	0.27%	0.29%	0.25%	0.66%	0.78%	0.54%
37	0.25%	0.27%	0.23%	0.63%	0.74%	0.51%
36	0.24%	0.26%	0.22%	0.6%	0.71%	0.49%
35	0.23%	0.24%	0.21%	0.57%	0.67%	0.46%
34	0.22%	0.23%	0.2%	0.54%	0.64%	0.44%
33	0.21%	0.22%	0.19%	0.51%	0.61%	0.42%
32	0.2%	0.21%	0.18%	0.49%	0.58%	0.4%
31	0.19%	0.2%	0.18%	0.46%	0.55%	0.38%
30	0.18%	0.2%	0.17%	0.44%	0.52%	0.36%
29	0.18%	0.19%	0.16%	0.41%	0.5%	0.33%
28	0.17%	0.19%	0.16%	0.39%	0.47%	0.31%
27	0.17%	0.19%	0.15%	0.36%	0.44%	0.28%
26	0.17%	0.19%	0.15%	0.33%	0.41%	0.25%
25	0.17%	0.19%	0.14%	0.3%	0.38%	0.23%
24	0.16%	0.19%	0.14%	0.28%	0.35%	0.2%
23	0.16%	0.19%	0.13%	0.25%	0.32%	0.18%
22	0.16%	0.19%	0.13%	0.23%	0.29%	0.17%
21	0.15%	0.18%	0.12%	0.21%	0.26%	0.15%
20	0.14%	0.17%	0.12%	0.19%	0.23%	0.14%
19	0.13%	0.16%	0.11%	0.16%	0.2%	0.13%
18	0.12%	0.15%	0.1%	0.14%	0.18%	0.11%
17	0.11%	0.13%	0.09%	0.12%	0.15%	0.1%
16	0.1%	0.11%	0.08%	0.11%	0.12%	0.09%
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%	0.06%	0.07%	0.05%
12	0.06%	0.07%	0.05%	0.05%	0.06%	0.04%
11	0.06%	0.07%	0.05%	0.04%	0.05%	0.04%
10	0.06%	0.07%	0.05%	0.04%	0.05%	0.03%
9	0.06%	0.07%	0.05%	0.04%	0.05%	0.03%
8	0.07%	0.08%	0.06%	0.04%	0.05%	0.03%
7	0.07%	0.09%	0.06%	0.04%	0.05%	0.04%
6	0.09%	0.1%	0.08%	0.05%	0.06%	0.04%
5	0.11%	0.12%	0.1%	0.07%	0.08%	0.06%
4	0.14%	0.15%	0.12%	0.1%	0.11%	0.08%
3	0.18%	0.19%	0.17%	0.15%	0.17%	0.12%
2	0.24%	0.25%	0.22%	0.22%	0.25%	0.2%
1	0.31%	0.32%	0.31%	0.35%	0.38%	0.32%
0	3.39%	3.78%	2.97%	2.19%	2.44%	1.93%

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

The annual chance of dying is 3.39% in the birth year in East Timor and 2.19% in South Africa, 0.18% vs 0.44% at age 30, 1.64% vs 2.08% at 60, and 10.8% vs 6.96% at 80.

Death rate by age in East Timor vs South Africa

Chart Table

East Timor

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	East Timor			South Africa
	Total	Male	Female	Total	Male	Female
100	0	0	0	359	204.6	501
99	61.8	39	87.4	475	280.8	655
98	97.3	63.4	135.2	572	340	787
97	148.3	99.6	202.6	677	406	928
96	219.3	151.6	294.2	789	478	1,077
95	314	223.2	415	909	558	1,236
94	437	319	567	1,031	642	1,393
93	591	441	754	1,148	729	1,540
92	775	593	974	1,257	818	1,670
91	990	775	1,222	1,363	912	1,794
90	1,230	984	1,493	1,476	1,014	1,924
89	1,489	1,217	1,778	1,585	1,118	2,045
88	1,760	1,466	2,070	1,686	1,220	2,150
87	2,034	1,723	2,360	1,775	1,315	2,238
86	2,301	1,977	2,639	1,845	1,397	2,299
85	2,553	2,220	2,899	1,897	1,467	2,335
84	2,780	2,442	3,129	1,937	1,530	2,353
83	2,972	2,637	3,316	1,972	1,591	2,363
82	3,121	2,803	3,452	2,008	1,656	2,371
81	3,224	2,937	3,530	2,052	1,732	2,383
80	3,282	3,038	3,553	2,102	1,819	2,399
79	3,299	3,108	3,527	2,156	1,914	2,411
78	3,282	3,146	3,463	2,202	2,006	2,410
77	3,240	3,155	3,372	2,228	2,080	2,386
76	3,180	3,138	3,263	2,228	2,126	2,335
75	3,104	3,095	3,139	2,204	2,144	2,262
74	3,011	3,032	3,003	2,161	2,141	2,176
73	2,903	2,951	2,856	2,112	2,132	2,089
72	2,781	2,855	2,699	2,066	2,123	2,008
71	2,648	2,747	2,535	2,028	2,121	1,936
70	2,509	2,632	2,368	1,997	2,124	1,871
69	2,366	2,511	2,201	1,966	2,128	1,807
68	2,223	2,387	2,041	1,929	2,124	1,740
67	2,083	2,263	1,889	1,882	2,108	1,667
66	1,950	2,139	1,746	1,822	2,074	1,585
65	1,824	2,018	1,614	1,752	2,025	1,500
64	1,705	1,900	1,491	1,679	1,965	1,415
63	1,592	1,785	1,377	1,606	1,901	1,337
62	1,484	1,675	1,270	1,540	1,839	1,269
61	1,382	1,568	1,171	1,482	1,782	1,211
60	1,285	1,465	1,080	1,431	1,730	1,162
59	1,194	1,366	997	1,384	1,679	1,116
58	1,108	1,270	921	1,339	1,629	1,072
57	1,027	1,177	853	1,292	1,575	1,026
56	951	1,089	792	1,242	1,519	978
55	881	1,005	737	1,190	1,459	929
54	815	927	686	1,137	1,397	881
53	755	854	640	1,085	1,337	835
52	698	787	596	1,037	1,279	795
51	645	725	555	994	1,223	760
50	596	668	516	954	1,171	731
49	550	616	479	918	1,120	707
48	508	567	445	883	1,071	686
47	469	522	413	850	1,022	668
46	433	481	383	818	974	652
45	400	442	356	786	928	635
44	370	407	332	755	884	619
43	343	375	310	724	842	601
42	319	347	289.8	695	804	581
41	297	321	272.2	667	770	560
40	277.7	298.5	256.3	639	738	538
39	260.5	278.6	242	613	708	515
38	245.2	261.2	229	587	680	492
37	231.6	246	217.1	562	653	470
36	219.4	232.7	206.2	538	626	449
35	208.5	221	196.1	515	600	429
34	198.8	210.7	186.9	493	575	410
33	190	201.5	178.6	471	551	392
32	182.2	193.3	171.2	450	527	374
31	175.4	186.3	164.5	429	504	355
30	169.5	180.5	158.5	408	481	335
29	164.8	176.2	153	386	458	314
28	161	173.6	148.1	363	434	291.3
27	158.3	172.7	143.4	339	410	266.7
26	156.3	173.3	139	314	384	241.5
25	155	174.7	134.7	289.1	358	217.1
24	153.7	176.2	130.4	264.7	331	195.1
23	151.8	176.7	126	241.4	304	176
22	148.8	175.2	121.3	219.2	276.6	159.6
21	143.9	170.7	116.1	198.1	249	145.6
20	137	162.8	110.2	177.8	221.4	133.1
19	127.8	151.5	103.2	158	194.2	121.2
18	116.8	137.5	95.3	138.5	167.7	108.8
17	104.7	122.1	86.7	119.5	142.6	96
16	92.5	106.7	77.8	101.4	119.6	82.9
15	81.3	92.6	69.4	85	99.4	70.2
14	71.6	80.9	61.9	70.7	82.4	58.8
13	64.2	72.1	55.9	58.9	68.7	49
12	59	66.1	51.5	49.7	58.1	41.1
11	56.2	63.1	48.9	43	50.5	35.3
10	55.7	62.9	48.3	38.7	45.8	31.6
9	57.8	65.7	49.8	37	43.9	30
8	62.9	71.6	53.8	37.9	45.2	30.6
7	71.5	81.4	61.3	42.2	50.2	34.1
6	84.9	96	73.4	51.2	60.6	41.7
5	104.6	116.8	91.9	67.2	79	55.4
4	132.9	145.7	119.4	95.3	110.3	80
3	172.5	184.8	159.4	141.9	161.3	121.7
2	227.1	237.1	216.5	218.6	243.8	192.5
1	301	306	296.6	343	375	310
0	3,388	3,779	2,971	2,192	2,441	1,934

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 77 in South Africa. The median age of death is 73.9 in East Timor and 70.8 in South Africa, 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 South Africa more than their death rates.

Life expectancy in other countries

+ -

1x