Life Expectancy in East Timor vs South Sudan (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in East Timor vs South Sudan: 72.7 years vs 69.1 at 30, 78.6 vs 78 at 65, 85.7 vs 85.6 at 80 — significantly higher than the 68.1 vs 57.9 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in East Timor and South Sudan.

Table

Current age, years	Total life expectancy, years
	East Timor			South Sudan
	Average	Male	Female	Average	Male	Female
0	68.1	66.5	69.9	57.9	54.9	60.9
1	70.6	69.2	72.1	61.7	58.8	64.6
2	70.8	69.4	72.4	62.4	59.4	65.4
3	71	69.5	72.5	63	60	66
4	71.1	69.7	72.6	63.5	60.5	66.5
5	71.2	69.8	72.7	64	61	66.9
6	71.3	69.9	72.8	64.3	61.4	67.3
7	71.3	69.9	72.8	64.7	61.7	67.5
8	71.4	70	72.9	64.9	62	67.8
9	71.4	70	72.9	65.1	62.3	67.9
10	71.5	70.1	73	65.3	62.5	68.1
11	71.5	70.1	73	65.5	62.7	68.2
12	71.5	70.2	73	65.6	62.9	68.4
13	71.6	70.2	73.1	65.8	63	68.5
14	71.6	70.2	73.1	65.9	63.2	68.6
15	71.7	70.3	73.1	66.1	63.3	68.7
16	71.7	70.3	73.2	66.2	63.5	68.9
17	71.8	70.4	73.2	66.4	63.7	69
18	71.8	70.5	73.3	66.5	63.9	69.1
19	71.9	70.5	73.3	66.7	64.1	69.3
20	72	70.6	73.4	66.9	64.3	69.4
21	72	70.7	73.5	67.1	64.6	69.6
22	72.1	70.8	73.5	67.3	64.8	69.8
23	72.2	70.9	73.6	67.6	65.1	69.9
24	72.3	71	73.7	67.8	65.4	70.1
25	72.4	71.1	73.7	68	65.6	70.2
26	72.4	71.2	73.8	68.2	65.9	70.4
27	72.5	71.3	73.9	68.4	66.2	70.6
28	72.6	71.3	73.9	68.7	66.4	70.7
29	72.7	71.4	74	68.9	66.7	70.9
30	72.7	71.5	74.1	69.1	66.9	71.1
31	72.8	71.6	74.2	69.3	67.2	71.3
32	72.9	71.7	74.2	69.5	67.4	71.4
33	73	71.7	74.3	69.7	67.7	71.6
34	73.1	71.8	74.4	69.9	67.9	71.8
35	73.2	71.9	74.5	70.1	68.1	72
36	73.2	72	74.6	70.4	68.4	72.2
37	73.3	72.1	74.6	70.6	68.6	72.3
38	73.4	72.2	74.7	70.8	68.9	72.5
39	73.5	72.3	74.8	71	69.1	72.7
40	73.6	72.4	74.9	71.2	69.3	72.9
41	73.7	72.5	75	71.4	69.6	73.1
42	73.8	72.6	75.1	71.6	69.9	73.3
43	73.9	72.7	75.2	71.9	70.1	73.5
44	74.1	72.9	75.3	72.1	70.4	73.7
45	74.2	73	75.4	72.3	70.6	73.8
46	74.3	73.1	75.6	72.6	70.9	74
47	74.4	73.3	75.7	72.8	71.2	74.2
48	74.6	73.4	75.8	73	71.4	74.4
49	74.7	73.6	76	73.3	71.7	74.6
50	74.9	73.8	76.1	73.5	72	74.8
51	75.1	74	76.3	73.7	72.3	75
52	75.3	74.2	76.4	74	72.6	75.2
53	75.4	74.4	76.6	74.3	72.9	75.5
54	75.6	74.6	76.8	74.5	73.2	75.7
55	75.9	74.8	76.9	74.8	73.5	75.9
56	76.1	75.1	77.1	75.1	73.8	76.2
57	76.3	75.3	77.3	75.4	74.1	76.4
58	76.5	75.6	77.5	75.7	74.5	76.7
59	76.8	75.9	77.7	76	74.8	76.9
60	77.1	76.2	78	76.3	75.1	77.2
61	77.3	76.5	78.2	76.6	75.5	77.5
62	77.6	76.8	78.5	76.9	75.9	77.8
63	77.9	77.1	78.7	77.3	76.3	78.1
64	78.3	77.5	79	77.6	76.7	78.4
65	78.6	77.9	79.3	78	77.1	78.7
66	78.9	78.2	79.6	78.4	77.5	79.1
67	79.3	78.6	79.9	78.8	77.9	79.5
68	79.7	79.1	80.3	79.2	78.4	79.8
69	80.1	79.5	80.6	79.6	78.9	80.2
70	80.5	79.9	81	80.1	79.3	80.7
71	80.9	80.4	81.4	80.6	79.8	81.1
72	81.4	80.9	81.8	81.1	80.4	81.6
73	81.9	81.4	82.3	81.6	80.9	82
74	82.4	81.9	82.7	82.1	81.5	82.5
75	82.9	82.5	83.2	82.6	82	83.1
76	83.4	83	83.7	83.2	82.6	83.6
77	83.9	83.6	84.2	83.8	83.2	84.2
78	84.5	84.2	84.8	84.4	83.8	84.7
79	85.1	84.8	85.3	85	84.5	85.3
80	85.7	85.4	85.9	85.6	85.1	85.9
81	86.3	86.1	86.6	86.3	85.8	86.6
82	87	86.8	87.2	87	86.5	87.2
83	87.7	87.5	87.9	87.7	87.2	87.9
84	88.4	88.2	88.6	88.4	87.9	88.6
85	89.1	88.9	89.3	89.1	88.7	89.4
86	89.8	89.6	90	89.9	89.4	90.1
87	90.6	90.4	90.7	90.6	90.2	90.8
88	91.4	91.2	91.5	91.4	91	91.6
89	92.2	92	92.3	92.2	91.8	92.4
90	93	92.8	93.1	93	92.6	93.2
91	93.8	93.7	93.9	93.8	93.4	94
92	94.6	94.5	94.7	94.7	94.2	94.8
93	95.5	95.4	95.6	95.5	95.1	95.6
94	96.3	96.2	96.4	96.3	96	96.4
95	97.2	97.1	97.3	97.2	96.9	97.3
96	98.1	98	98.2	98	97.8	98.1
97	99	98.9	99.1	98.9	98.7	99
98	99.9	99.8	99.9	99.8	99.6	99.9
99	100.8	100.7	100.9	100.7	100.6	100.8
100	101.7	101.7	101.8	101.7	101.6	101.8

Odds of living to age in East Timor vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 78% in East Timor and 61% in South Sudan are expected to survive till at least 60 years old, 60.1% and 45% will live to 70 years or older, 30.2% and 21.3% to 80+ years, and 4.85% and 3.36% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	East Timor			South Sudan
	Average	Male	Female	Average	Male	Female
1	96.5%	96.1%	96.9%	93.7%	93.3%	94.2%
2	96.2%	95.8%	96.6%	92.6%	92.3%	93%
3	96%	95.6%	96.4%	91.7%	91.3%	92.1%
4	95.8%	95.4%	96.2%	90.9%	90.5%	91.4%
5	95.6%	95.2%	96.1%	90.3%	89.8%	90.8%
6	95.5%	95.1%	96%	89.7%	89.1%	90.3%
7	95.5%	95%	95.9%	89.2%	88.6%	89.9%
8	95.4%	94.9%	95.9%	88.8%	88.1%	89.6%
9	95.3%	94.8%	95.8%	88.5%	87.7%	89.3%
10	95.3%	94.8%	95.8%	88.2%	87.3%	89%
11	95.2%	94.7%	95.7%	87.9%	87%	88.8%
12	95.1%	94.7%	95.7%	87.7%	86.7%	88.6%
13	95.1%	94.6%	95.6%	87.4%	86.4%	88.4%
14	95%	94.5%	95.6%	87.2%	86.2%	88.2%
15	94.9%	94.4%	95.5%	87%	85.9%	88%
16	94.9%	94.3%	95.4%	86.7%	85.6%	87.8%
17	94.8%	94.2%	95.3%	86.4%	85.3%	87.6%
18	94.7%	94.1%	95.2%	86.1%	84.9%	87.4%
19	94.5%	94%	95.2%	85.8%	84.5%	87.1%
20	94.4%	93.8%	95%	85.4%	84.1%	86.8%
21	94.3%	93.6%	94.9%	85.1%	83.6%	86.6%
22	94.1%	93.5%	94.8%	84.7%	83.1%	86.3%
23	94%	93.3%	94.7%	84.2%	82.6%	86%
24	93.8%	93.1%	94.6%	83.8%	82%	85.7%
25	93.7%	92.9%	94.4%	83.4%	81.5%	85.4%
26	93.5%	92.8%	94.3%	83%	81%	85.1%
27	93.3%	92.6%	94.1%	82.5%	80.4%	84.7%
28	93.2%	92.4%	94%	82.1%	79.9%	84.4%
29	93%	92.2%	93.9%	81.7%	79.4%	84%
30	92.9%	92.1%	93.7%	81.2%	78.9%	83.7%
31	92.7%	91.9%	93.5%	80.8%	78.3%	83.3%
32	92.5%	91.7%	93.4%	80.3%	77.8%	83%
33	92.3%	91.5%	93.2%	79.9%	77.3%	82.6%
34	92.1%	91.3%	93%	79.4%	76.7%	82.2%
35	91.9%	91.1%	92.8%	78.9%	76.2%	81.8%
36	91.7%	90.9%	92.6%	78.5%	75.6%	81.4%
37	91.5%	90.6%	92.4%	78%	75%	81%
38	91.3%	90.4%	92.2%	77.5%	74.5%	80.6%
39	91%	90.1%	92%	77%	73.9%	80.2%
40	90.7%	89.8%	91.7%	76.5%	73.3%	79.7%
41	90.5%	89.5%	91.5%	75.9%	72.6%	79.3%
42	90.2%	89.2%	91.2%	75.3%	72%	78.8%
43	89.8%	88.8%	90.9%	74.8%	71.3%	78.3%
44	89.5%	88.5%	90.6%	74.2%	70.6%	77.8%
45	89.1%	88.1%	90.2%	73.6%	69.9%	77.3%
46	88.7%	87.6%	89.9%	72.9%	69.2%	76.7%
47	88.3%	87.1%	89.5%	72.3%	68.5%	76.2%
48	87.8%	86.6%	89.1%	71.7%	67.7%	75.7%
49	87.3%	86%	88.6%	71%	66.9%	75.1%
50	86.7%	85.4%	88.1%	70.3%	66.1%	74.5%
51	86.1%	84.7%	87.6%	69.5%	65.2%	73.9%
52	85.5%	84%	87.1%	68.7%	64.3%	73.2%
53	84.8%	83.2%	86.5%	67.9%	63.3%	72.5%
54	84%	82.4%	85.8%	67%	62.3%	71.7%
55	83.2%	81.4%	85.1%	66.1%	61.3%	70.9%
56	82.3%	80.4%	84.4%	65.2%	60.2%	70.1%
57	81.4%	79.3%	83.6%	64.2%	59.1%	69.3%
58	80.3%	78.1%	82.7%	63.2%	58%	68.4%
59	79.2%	76.9%	81.8%	62.1%	56.8%	67.4%
60	78%	75.5%	80.8%	61%	55.5%	66.4%
61	76.7%	74%	79.7%	59.7%	54.2%	65.3%
62	75.3%	72.5%	78.5%	58.5%	52.8%	64.1%
63	73.9%	70.8%	77.2%	57.1%	51.3%	62.9%
64	72.3%	69%	75.9%	55.6%	49.7%	61.5%
65	70.5%	67.1%	74.4%	54.1%	48.1%	60%
66	68.7%	65.1%	72.7%	52.4%	46.4%	58.5%
67	66.8%	62.9%	71%	50.7%	44.6%	56.8%
68	64.7%	60.6%	69.1%	48.9%	42.8%	55%
69	62.4%	58.3%	67.1%	47%	40.8%	53.1%
70	60.1%	55.7%	64.8%	45%	38.8%	51.1%
71	57.6%	53.1%	62.5%	42.9%	36.7%	49%
72	54.9%	50.4%	59.9%	40.7%	34.6%	46.8%
73	52.1%	47.5%	57.2%	38.4%	32.4%	44.4%
74	49.2%	44.6%	54.4%	36%	30.1%	41.9%
75	46.2%	41.5%	51.4%	33.6%	27.8%	39.4%
76	43.1%	38.4%	48.2%	31.2%	25.5%	36.8%
77	40%	35.3%	45%	28.7%	23.2%	34.1%
78	36.7%	32.2%	41.6%	26.2%	20.9%	31.4%
79	33.5%	29%	38.1%	23.7%	18.7%	28.7%
80	30.2%	25.9%	34.6%	21.3%	16.5%	26%
81	26.9%	22.9%	31.1%	18.9%	14.4%	23.2%
82	23.7%	20%	27.6%	16.5%	12.4%	20.6%
83	20.6%	17.2%	24.1%	14.3%	10.6%	18%
84	17.6%	14.6%	20.8%	12.2%	8.84%	15.5%
85	14.9%	12.2%	17.7%	10.3%	7.28%	13.2%
86	12.3%	9.98%	14.9%	8.5%	5.9%	11.1%
87	10.1%	8.02%	12.3%	6.93%	4.68%	9.14%
88	8.05%	6.32%	9.93%	5.55%	3.63%	7.43%
89	6.31%	4.87%	7.89%	4.36%	2.75%	5.95%
90	4.85%	3.67%	6.13%	3.36%	2.02%	4.68%
91	3.64%	2.7%	4.67%	2.53%	1.45%	3.6%
92	2.67%	1.94%	3.47%	1.87%	1%	2.72%
93	1.91%	1.36%	2.51%	1.34%	0.67%	2%
94	1.33%	0.92%	1.78%	0.94%	0.43%	1.43%
95	0.9%	0.61%	1.22%	0.64%	0.27%	0.99%
96	0.6%	0.39%	0.82%	0.43%	0.16%	0.67%
97	0.38%	0.25%	0.54%	0.28%	0.09%	0.43%
98	0.24%	0.15%	0.34%	0.17%	0.05%	0.27%
99	0.15%	0.09%	0.21%	0.1%	0.03%	0.17%
100	0.09%	0.05%	0.13%	0.05%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 3.5% in the birth year in East Timor and 6.27% in South Sudan, 0.19% vs 0.55% at age 30, 1.65% vs 1.98% at 60, and 10.9% vs 11.3% at 80.

Below is a graph displaying the probabilities of dying in East Timor compared to South Sudan at any given age.

Table

Age	Probability of dying
	East Timor			South Sudan
	Average	Male	Female	Average	Male	Female
0	3.5%	3.89%	3.08%	6.27%	6.72%	5.81%
1	0.32%	0.33%	0.32%	1.17%	1.11%	1.23%
2	0.24%	0.25%	0.23%	1%	1%	0.99%
3	0.18%	0.2%	0.17%	0.86%	0.9%	0.8%
4	0.14%	0.16%	0.13%	0.73%	0.81%	0.65%
5	0.11%	0.12%	0.1%	0.63%	0.72%	0.53%
6	0.09%	0.1%	0.08%	0.54%	0.63%	0.44%
7	0.08%	0.09%	0.07%	0.46%	0.55%	0.37%
8	0.07%	0.08%	0.06%	0.39%	0.47%	0.31%
9	0.06%	0.07%	0.05%	0.34%	0.41%	0.27%
10	0.06%	0.07%	0.05%	0.3%	0.36%	0.24%
11	0.06%	0.07%	0.05%	0.27%	0.32%	0.23%
12	0.06%	0.07%	0.06%	0.26%	0.31%	0.22%
13	0.07%	0.08%	0.06%	0.26%	0.3%	0.22%
14	0.08%	0.09%	0.07%	0.27%	0.32%	0.23%
15	0.09%	0.1%	0.07%	0.29%	0.34%	0.24%
16	0.1%	0.11%	0.08%	0.32%	0.38%	0.26%
17	0.11%	0.13%	0.09%	0.35%	0.42%	0.27%
18	0.13%	0.15%	0.1%	0.38%	0.47%	0.29%
19	0.14%	0.16%	0.11%	0.42%	0.52%	0.31%
20	0.15%	0.18%	0.12%	0.45%	0.57%	0.32%
21	0.16%	0.18%	0.13%	0.47%	0.61%	0.33%
22	0.16%	0.19%	0.13%	0.49%	0.64%	0.34%
23	0.16%	0.19%	0.14%	0.5%	0.65%	0.35%
24	0.17%	0.19%	0.14%	0.51%	0.66%	0.36%
25	0.17%	0.19%	0.15%	0.51%	0.66%	0.37%
26	0.17%	0.19%	0.15%	0.52%	0.65%	0.38%
27	0.17%	0.19%	0.16%	0.53%	0.65%	0.4%
28	0.18%	0.19%	0.16%	0.53%	0.66%	0.41%
29	0.18%	0.19%	0.17%	0.54%	0.66%	0.42%
30	0.19%	0.2%	0.17%	0.55%	0.67%	0.43%
31	0.19%	0.2%	0.18%	0.56%	0.68%	0.44%
32	0.2%	0.21%	0.19%	0.57%	0.69%	0.45%
33	0.21%	0.22%	0.2%	0.58%	0.71%	0.46%
34	0.22%	0.23%	0.2%	0.59%	0.72%	0.47%
35	0.23%	0.25%	0.21%	0.6%	0.73%	0.48%
36	0.24%	0.26%	0.23%	0.61%	0.75%	0.5%
37	0.26%	0.27%	0.24%	0.63%	0.77%	0.51%
38	0.27%	0.29%	0.25%	0.66%	0.79%	0.54%
39	0.29%	0.31%	0.27%	0.69%	0.82%	0.56%
40	0.31%	0.34%	0.28%	0.72%	0.86%	0.59%
41	0.33%	0.36%	0.3%	0.75%	0.89%	0.61%
42	0.36%	0.39%	0.32%	0.77%	0.93%	0.63%
43	0.39%	0.43%	0.34%	0.8%	0.96%	0.65%
44	0.42%	0.46%	0.37%	0.82%	0.99%	0.66%
45	0.45%	0.51%	0.4%	0.84%	1.03%	0.67%
46	0.49%	0.55%	0.43%	0.87%	1.07%	0.69%
47	0.54%	0.6%	0.47%	0.9%	1.11%	0.71%
48	0.58%	0.66%	0.5%	0.95%	1.17%	0.75%
49	0.64%	0.72%	0.55%	1.01%	1.25%	0.8%
50	0.69%	0.79%	0.59%	1.07%	1.33%	0.85%
51	0.76%	0.86%	0.64%	1.14%	1.41%	0.91%
52	0.82%	0.94%	0.69%	1.22%	1.5%	0.97%
53	0.9%	1.03%	0.75%	1.29%	1.58%	1.03%
54	0.98%	1.13%	0.81%	1.35%	1.66%	1.09%
55	1.06%	1.24%	0.87%	1.42%	1.74%	1.15%
56	1.16%	1.36%	0.95%	1.5%	1.83%	1.22%
57	1.27%	1.49%	1.03%	1.59%	1.93%	1.29%
58	1.39%	1.63%	1.12%	1.7%	2.06%	1.39%
59	1.51%	1.78%	1.23%	1.83%	2.22%	1.51%
60	1.65%	1.95%	1.34%	1.98%	2.4%	1.64%
61	1.81%	2.13%	1.48%	2.16%	2.6%	1.8%
62	1.98%	2.32%	1.63%	2.36%	2.81%	1.98%
63	2.16%	2.53%	1.79%	2.56%	3.05%	2.17%
64	2.36%	2.76%	1.97%	2.79%	3.29%	2.38%
65	2.59%	3.01%	2.18%	3.02%	3.55%	2.6%
66	2.85%	3.29%	2.41%	3.28%	3.83%	2.85%
67	3.13%	3.6%	2.67%	3.57%	4.15%	3.12%
68	3.45%	3.94%	2.96%	3.9%	4.51%	3.43%
69	3.8%	4.31%	3.29%	4.27%	4.92%	3.78%
70	4.18%	4.72%	3.66%	4.68%	5.37%	4.17%
71	4.6%	5.17%	4.07%	5.14%	5.87%	4.59%
72	5.06%	5.67%	4.51%	5.62%	6.42%	5.04%
73	5.56%	6.2%	5%	6.14%	7%	5.53%
74	6.1%	6.79%	5.53%	6.69%	7.62%	6.06%
75	6.69%	7.44%	6.11%	7.3%	8.28%	6.62%
76	7.35%	8.14%	6.76%	7.95%	9.01%	7.24%
77	8.09%	8.91%	7.49%	8.67%	9.8%	7.93%
78	8.92%	9.74%	8.31%	9.47%	10.7%	8.7%
79	9.84%	10.7%	9.22%	10.4%	11.7%	9.55%
80	10.9%	11.7%	10.2%	11.3%	12.7%	10.5%
81	11.9%	12.7%	11.3%	12.4%	13.8%	11.5%
82	13.1%	13.9%	12.4%	13.5%	15%	12.6%
83	14.3%	15.2%	13.6%	14.7%	16.3%	13.7%
84	15.6%	16.6%	14.9%	15.9%	17.6%	14.9%
85	17%	18.1%	16.2%	17.2%	19%	16.1%
86	18.5%	19.6%	17.6%	18.5%	20.6%	17.4%
87	20%	21.2%	19%	19.9%	22.4%	18.6%
88	21.6%	22.9%	20.6%	21.4%	24.3%	20%
89	23.2%	24.6%	22.2%	23%	26.4%	21.4%
90	24.9%	26.4%	23.9%	24.6%	28.6%	22.9%
91	26.7%	28.2%	25.7%	26.3%	30.8%	24.6%
92	28.5%	30%	27.5%	28%	33%	26.4%
93	30.3%	31.9%	29.3%	29.8%	35.2%	28.4%
94	32.1%	33.7%	31.1%	31.7%	37.5%	30.6%
95	33.9%	35.6%	32.9%	33.5%	39.8%	32.8%
96	35.7%	37.5%	34.8%	35.7%	41.9%	35%
97	37.5%	39.3%	36.6%	38.7%	43.8%	37.1%
98	39.3%	41.2%	38.4%	42.1%	45.5%	39.1%
99	41.1%	42.9%	40.2%	44.2%	47.1%	41%
100	42.9%	44.8%	42.1%	47.2%	49.1%	43.1%

Death rate by age in East Timor compared to South Sudan

In East Timor, the most common age of death is 0, compared to 0 in South Sudan. The median age of death is 73.7 in East Timor and 67.4 in South Sudan — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	East Timor			South Sudan
	Total	Male	Female	Total	Male	Female
0	3,499	3,888	3,084	6,268	6,715	5,811
1	309	313	306	1,094	1,033	1,158
2	232.9	242.1	223.1	924	923	924
3	176.7	188.5	164.1	784	826	741
4	135.9	148.5	122.8	667	735	598
5	106.9	119	94.4	568	647	485
6	86.7	97.7	75.3	482	564	397
7	73	82.8	62.9	409	485	330
8	64.2	72.9	55.2	348	415	278.6
9	59.1	66.8	51	299.8	356	241.3
10	56.9	64.1	49.5	264.5	312	215.6
11	57.4	64.3	50.2	241.6	281.4	199.9
12	60.2	67.3	52.8	229.7	264.9	192.9
13	65.5	73.3	57.3	228.5	262	193.4
14	73.1	82.3	63.4	236.7	271.8	200.1
15	82.8	94.2	71	253	292.7	211.5
16	94.3	108.4	79.6	275.3	323	225.8
17	106.6	124	88.7	301	359	240.8
18	118.9	139.6	97.5	329	400	254.9
19	130.1	153.7	105.6	356	442	266.8
20	139.4	165.1	112.6	381	480	276.5
21	146.4	173.1	118.7	400	511	284.6
22	151.2	177.6	123.9	414	530	292
23	154.3	179.1	128.7	422	538	299.8
24	156.1	178.5	133.1	426	538	308
25	157.4	176.9	137.4	429	535	317
26	158.8	175.4	141.7	431	529	327
27	160.7	174.8	146.2	434	526	336
28	163.4	175.6	150.9	438	524	345
29	167.1	178.2	155.9	442	526	353
30	171.9	182.4	161.4	447	529	361
31	177.8	188.2	167.4	452	535	367
32	184.7	195.3	174.2	457	540	373
33	192.6	203.5	181.8	462	546	379
34	201.4	212.8	190.1	467	551	385
35	211.3	223.2	199.4	474	557	393
36	222.3	235	209.5	482	565	403
37	234.5	248.4	220.6	494	576	417
38	248.2	263.6	232.5	510	591	433
39	263.6	281.1	245.5	528	609	451
40	280.8	301	259.8	547	629	469
41	300	324	275.7	566	650	485
42	322	349	293.5	582	669	498
43	346	378	313	595	686	507
44	374	410	336	606	702	514
45	404	446	360	618	718	520
46	437	484	388	632	738	529
47	473	526	417	653	763	545
48	513	571	450	680	795	567
49	556	620	484	715	833	598
50	601	672	521	754	876	634
51	650	729	560	796	920	673
52	703	791	601	836	961	713
53	759	858	645	873	999	749
54	820	931	692	907	1,033	784
55	886	1,010	742	940	1,066	817
56	957	1,094	798	976	1,102	853
57	1,033	1,183	859	1,019	1,144	897
58	1,114	1,275	927	1,071	1,196	950
59	1,199	1,371	1,003	1,135	1,259	1,015
60	1,290	1,471	1,087	1,210	1,330	1,092
61	1,387	1,573	1,178	1,292	1,407	1,178
62	1,489	1,680	1,277	1,377	1,486	1,270
63	1,596	1,790	1,383	1,463	1,563	1,366
64	1,709	1,904	1,498	1,549	1,636	1,464
65	1,828	2,022	1,621	1,635	1,707	1,564
66	1,956	2,143	1,753	1,722	1,778	1,667
67	2,090	2,266	1,895	1,812	1,851	1,775
68	2,229	2,390	2,047	1,908	1,928	1,890
69	2,370	2,513	2,207	2,007	2,008	2,009
70	2,511	2,633	2,373	2,107	2,086	2,130
71	2,649	2,747	2,540	2,202	2,158	2,248
72	2,779	2,853	2,703	2,287	2,219	2,359
73	2,899	2,948	2,859	2,357	2,264	2,457
74	3,004	3,028	3,004	2,412	2,292	2,540
75	3,095	3,089	3,139	2,452	2,303	2,609
76	3,173	3,130	3,261	2,478	2,297	2,665
77	3,235	3,146	3,368	2,486	2,275	2,706
78	3,277	3,135	3,456	2,480	2,237	2,734
79	3,292	3,094	3,517	2,456	2,179	2,741
80	3,273	3,023	3,540	2,409	2,099	2,724
81	3,211	2,920	3,514	2,334	1,995	2,675
82	3,104	2,785	3,432	2,229	1,866	2,590
83	2,951	2,618	3,294	2,095	1,717	2,468
84	2,757	2,421	3,104	1,936	1,555	2,311
85	2,529	2,199	2,872	1,760	1,386	2,126
86	2,277	1,957	2,611	1,572	1,215	1,920
87	2,009	1,703	2,331	1,379	1,047	1,704
88	1,736	1,447	2,042	1,187	883	1,485
89	1,467	1,200	1,751	1,001	726	1,272
90	1,209	969	1,468	826	579	1,071
91	971	762	1,199	666	446	886
92	760	582	953	523	330	718
93	578	433	737	401	236	568
94	427	312	553	298.6	162.8	438
95	306	218.2	403	216	107.8	326
96	213.1	147.9	285.4	153	68.4	233.8
97	143.8	97.1	196	106.6	41.5	161.3
98	94.1	61.6	130.5	71.1	24.3	106.9
99	59.7	37.8	84.2	43.2	13.7	68.3
100	0	0	0	0	0	0

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about East Timor and South Sudan demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• East Timor vs South Sudan: Statistical Insights

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size