Life Expectancy in South Sudan vs Tonga (1950-2026)

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 South Sudan vs Tonga: 69.1 years vs 75.1 at 30, 78 vs 80.6 at 65, 85.6 vs 87.1 at 80 — significantly higher than the 58 vs 73.4 years calculated at birth.

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

Table

Current age, years	Total life expectancy, years
	South Sudan			Tonga
	Average	Male	Female	Average	Male	Female
0	58	55	61	73.4	69.8	76.8
1	61.8	58.9	64.7	74	70.4	77.4
2	62.5	59.5	65.5	74	70.5	77.4
3	63.1	60.1	66.1	74.1	70.5	77.4
4	63.6	60.6	66.6	74.1	70.5	77.5
5	64	61.1	67	74.1	70.5	77.5
6	64.4	61.5	67.3	74.1	70.6	77.5
7	64.7	61.8	67.6	74.1	70.6	77.5
8	65	62.1	67.8	74.2	70.6	77.5
9	65.2	62.4	68	74.2	70.6	77.6
10	65.4	62.6	68.2	74.2	70.6	77.6
11	65.5	62.8	68.3	74.2	70.7	77.6
12	65.7	62.9	68.4	74.2	70.7	77.6
13	65.8	63.1	68.5	74.2	70.7	77.6
14	66	63.2	68.7	74.3	70.7	77.6
15	66.1	63.4	68.8	74.3	70.7	77.7
16	66.3	63.5	68.9	74.3	70.8	77.7
17	66.4	63.7	69	74.4	70.8	77.7
18	66.6	63.9	69.2	74.4	70.9	77.8
19	66.8	64.1	69.3	74.5	70.9	77.8
20	67	64.4	69.5	74.5	71	77.8
21	67.2	64.6	69.6	74.6	71.1	77.9
22	67.4	64.9	69.8	74.7	71.2	77.9
23	67.6	65.1	70	74.7	71.3	78
24	67.8	65.4	70.1	74.8	71.4	78
25	68	65.7	70.3	74.8	71.4	78
26	68.3	65.9	70.4	74.9	71.5	78.1
27	68.5	66.2	70.6	75	71.6	78.1
28	68.7	66.5	70.8	75	71.7	78.2
29	68.9	66.7	71	75.1	71.8	78.2
30	69.1	67	71.1	75.1	71.9	78.3
31	69.3	67.2	71.3	75.2	71.9	78.3
32	69.5	67.4	71.5	75.3	72	78.3
33	69.8	67.7	71.7	75.3	72.1	78.4
34	70	67.9	71.8	75.4	72.2	78.4
35	70.2	68.2	72	75.5	72.3	78.5
36	70.4	68.4	72.2	75.5	72.4	78.6
37	70.6	68.6	72.4	75.6	72.5	78.6
38	70.8	68.9	72.5	75.7	72.6	78.7
39	71	69.1	72.7	75.8	72.7	78.7
40	71.2	69.4	72.9	75.9	72.8	78.8
41	71.5	69.6	73.1	76	72.9	78.9
42	71.7	69.9	73.3	76.1	73.1	79
43	71.9	70.1	73.5	76.2	73.2	79
44	72.1	70.4	73.7	76.3	73.3	79.1
45	72.4	70.6	73.9	76.4	73.5	79.2
46	72.6	70.9	74.1	76.5	73.6	79.3
47	72.8	71.2	74.3	76.6	73.8	79.4
48	73	71.4	74.4	76.8	74	79.5
49	73.3	71.7	74.6	76.9	74.2	79.6
50	73.5	72	74.8	77.1	74.4	79.7
51	73.8	72.3	75.1	77.2	74.6	79.9
52	74	72.6	75.3	77.4	74.8	80
53	74.3	72.9	75.5	77.6	75	80.1
54	74.5	73.2	75.7	77.8	75.2	80.3
55	74.8	73.5	76	78	75.5	80.4
56	75.1	73.8	76.2	78.2	75.7	80.6
57	75.4	74.1	76.4	78.4	76	80.8
58	75.7	74.5	76.7	78.7	76.3	80.9
59	76	74.8	76.9	78.9	76.6	81.1
60	76.3	75.1	77.2	79.2	76.9	81.3
61	76.6	75.5	77.5	79.4	77.2	81.5
62	76.9	75.9	77.8	79.7	77.6	81.7
63	77.3	76.3	78.1	80	77.9	81.9
64	77.6	76.7	78.4	80.3	78.3	82.1
65	78	77.1	78.7	80.6	78.7	82.4
66	78.4	77.5	79.1	81	79.1	82.6
67	78.8	77.9	79.5	81.3	79.5	82.9
68	79.2	78.4	79.8	81.7	79.9	83.1
69	79.7	78.9	80.2	82	80.3	83.4
70	80.1	79.3	80.7	82.4	80.8	83.7
71	80.6	79.8	81.1	82.8	81.3	84
72	81.1	80.4	81.6	83.2	81.8	84.4
73	81.6	80.9	82.1	83.6	82.3	84.7
74	82.1	81.5	82.6	84.1	82.8	85.1
75	82.6	82	83.1	84.5	83.3	85.4
76	83.2	82.6	83.6	85	83.9	85.8
77	83.8	83.2	84.2	85.5	84.4	86.3
78	84.4	83.8	84.7	86	85	86.7
79	85	84.5	85.3	86.5	85.6	87.2
80	85.6	85.1	85.9	87.1	86.2	87.6
81	86.3	85.8	86.6	87.6	86.9	88.2
82	87	86.5	87.2	88.2	87.5	88.7
83	87.7	87.2	87.9	88.9	88.2	89.3
84	88.4	87.9	88.6	89.5	88.9	89.8
85	89.1	88.7	89.4	90.1	89.6	90.4
86	89.9	89.4	90.1	90.8	90.3	91.1
87	90.6	90.2	90.8	91.5	91	91.7
88	91.4	91	91.6	92.2	91.8	92.4
89	92.2	91.8	92.4	92.9	92.6	93.1
90	93	92.6	93.2	93.7	93.3	93.8
91	93.8	93.4	94	94.5	94.1	94.6
92	94.7	94.2	94.8	95.2	95	95.3
93	95.5	95.1	95.6	96	95.8	96.1
94	96.3	96	96.4	96.9	96.6	96.9
95	97.2	96.9	97.3	97.7	97.5	97.7
96	98.1	97.8	98.1	98.5	98.3	98.6
97	98.9	98.7	99	99.4	99.2	99.4
98	99.8	99.6	99.9	100.3	100.1	100.3
99	100.7	100.6	100.8	101.2	101	101.2
100	101.7	101.6	101.8	102.1	101.8	102.1

Odds of living to age in South Sudan vs Tonga

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 61.1% in South Sudan and 83.6% in Tonga are expected to survive till at least 60 years old, 45.1% and 67.6% will live to 70 years or older, 21.3% and 40.6% to 80+ years, and 3.37% and 10.7% 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
	South Sudan			Tonga
	Average	Male	Female	Average	Male	Female
1	93.8%	93.3%	94.2%	99.2%	99.1%	99.3%
2	92.7%	92.3%	93.1%	99.1%	99%	99.3%
3	91.8%	91.4%	92.2%	99.1%	99%	99.2%
4	91%	90.6%	91.5%	99.1%	99%	99.2%
5	90.3%	89.8%	90.9%	99%	98.9%	99.2%
6	89.8%	89.2%	90.4%	99%	98.9%	99.1%
7	89.3%	88.6%	90%	99%	98.8%	99.1%
8	88.9%	88.2%	89.7%	98.9%	98.8%	99.1%
9	88.6%	87.8%	89.4%	98.9%	98.8%	99.1%
10	88.3%	87.4%	89.1%	98.9%	98.8%	99%
11	88%	87.1%	88.9%	98.9%	98.7%	99%
12	87.8%	86.8%	88.7%	98.8%	98.7%	99%
13	87.5%	86.6%	88.5%	98.8%	98.7%	99%
14	87.3%	86.3%	88.4%	98.8%	98.7%	98.9%
15	87.1%	86%	88.2%	98.7%	98.6%	98.9%
16	86.8%	85.7%	87.9%	98.7%	98.5%	98.9%
17	86.5%	85.4%	87.7%	98.6%	98.5%	98.8%
18	86.2%	85.1%	87.5%	98.5%	98.4%	98.7%
19	85.9%	84.7%	87.2%	98.4%	98.2%	98.7%
20	85.6%	84.2%	87%	98.3%	98.1%	98.6%
21	85.2%	83.7%	86.7%	98.2%	97.9%	98.5%
22	84.8%	83.2%	86.4%	98.1%	97.8%	98.5%
23	84.4%	82.7%	86.1%	98%	97.6%	98.4%
24	84%	82.2%	85.8%	97.9%	97.4%	98.3%
25	83.5%	81.6%	85.5%	97.7%	97.2%	98.2%
26	83.1%	81.1%	85.2%	97.6%	97.1%	98.2%
27	82.7%	80.6%	84.9%	97.5%	96.9%	98.1%
28	82.2%	80.1%	84.5%	97.4%	96.7%	98%
29	81.8%	79.5%	84.2%	97.2%	96.5%	97.9%
30	81.4%	79%	83.8%	97.1%	96.3%	97.8%
31	80.9%	78.5%	83.5%	97%	96.1%	97.7%
32	80.5%	77.9%	83.1%	96.8%	95.9%	97.6%
33	80%	77.4%	82.7%	96.7%	95.7%	97.5%
34	79.6%	76.9%	82.4%	96.5%	95.5%	97.4%
35	79.1%	76.3%	82%	96.4%	95.2%	97.3%
36	78.6%	75.8%	81.6%	96.2%	95%	97.2%
37	78.1%	75.2%	81.2%	96%	94.7%	97%
38	77.6%	74.6%	80.8%	95.8%	94.4%	96.9%
39	77.1%	74%	80.3%	95.6%	94.1%	96.7%
40	76.6%	73.4%	79.9%	95.4%	93.8%	96.6%
41	76.1%	72.8%	79.4%	95.1%	93.5%	96.4%
42	75.5%	72.1%	78.9%	94.9%	93.1%	96.2%
43	74.9%	71.5%	78.4%	94.6%	92.7%	96%
44	74.3%	70.8%	77.9%	94.3%	92.3%	95.8%
45	73.7%	70.1%	77.4%	93.9%	91.8%	95.5%
46	73.1%	69.4%	76.9%	93.6%	91.3%	95.2%
47	72.5%	68.6%	76.4%	93.1%	90.8%	95%
48	71.8%	67.9%	75.8%	92.7%	90.2%	94.6%
49	71.1%	67.1%	75.3%	92.2%	89.5%	94.3%
50	70.4%	66.3%	74.7%	91.7%	88.8%	93.9%
51	69.7%	65.4%	74%	91.1%	88.1%	93.5%
52	68.9%	64.5%	73.4%	90.5%	87.3%	93.1%
53	68%	63.5%	72.7%	89.9%	86.4%	92.6%
54	67.2%	62.5%	71.9%	89.2%	85.5%	92.1%
55	66.3%	61.5%	71.1%	88.4%	84.4%	91.6%
56	65.3%	60.4%	70.3%	87.6%	83.4%	91%
57	64.4%	59.3%	69.5%	86.7%	82.2%	90.4%
58	63.3%	58.2%	68.6%	85.7%	81%	89.7%
59	62.3%	57%	67.6%	84.7%	79.6%	89%
60	61.1%	55.7%	66.6%	83.6%	78.2%	88.2%
61	59.9%	54.4%	65.5%	82.4%	76.7%	87.4%
62	58.6%	53%	64.3%	81.1%	75.1%	86.5%
63	57.3%	51.5%	63.1%	79.7%	73.4%	85.6%
64	55.8%	49.9%	61.7%	78.3%	71.5%	84.6%
65	54.2%	48.3%	60.2%	76.7%	69.6%	83.5%
66	52.6%	46.6%	58.7%	75.1%	67.5%	82.3%
67	50.9%	44.8%	57%	73.4%	65.4%	81%
68	49.1%	42.9%	55.2%	71.6%	63.2%	79.6%
69	47.1%	41%	53.3%	69.6%	60.8%	78.1%
70	45.1%	39%	51.3%	67.6%	58.4%	76.5%
71	43%	36.9%	49.2%	65.4%	55.8%	74.7%
72	40.8%	34.7%	46.9%	63.1%	53.2%	72.8%
73	38.5%	32.5%	44.6%	60.7%	50.4%	70.8%
74	36.2%	30.2%	42.1%	58.2%	47.6%	68.6%
75	33.7%	27.9%	39.6%	55.6%	44.7%	66.2%
76	31.3%	25.6%	36.9%	52.8%	41.8%	63.6%
77	28.8%	23.3%	34.3%	49.9%	38.8%	60.9%
78	26.3%	21%	31.6%	46.9%	35.8%	58%
79	23.8%	18.8%	28.8%	43.8%	32.8%	54.9%
80	21.3%	16.6%	26.1%	40.6%	29.8%	51.6%
81	18.9%	14.5%	23.3%	37.3%	26.8%	48.2%
82	16.6%	12.5%	20.6%	34.1%	23.9%	44.6%
83	14.4%	10.6%	18%	30.8%	21.1%	40.9%
84	12.3%	8.88%	15.6%	27.5%	18.4%	37.1%
85	10.3%	7.31%	13.2%	24.4%	15.8%	33.3%
86	8.54%	5.92%	11.1%	21.3%	13.4%	29.5%
87	6.96%	4.7%	9.18%	18.3%	11.3%	25.8%
88	5.58%	3.65%	7.47%	15.6%	9.3%	22.3%
89	4.38%	2.76%	5.98%	13%	7.54%	18.9%
90	3.37%	2.03%	4.7%	10.7%	6%	15.7%
91	2.54%	1.45%	3.62%	8.6%	4.69%	12.9%
92	1.87%	1%	2.73%	6.8%	3.58%	10.3%
93	1.35%	0.67%	2.01%	5.27%	2.68%	8.09%
94	0.94%	0.44%	1.44%	3.98%	1.96%	6.2%
95	0.64%	0.27%	1%	2.93%	1.39%	4.63%
96	0.43%	0.16%	0.67%	2.12%	0.97%	3.37%
97	0.27%	0.1%	0.44%	1.49%	0.66%	2.39%
98	0.17%	0.05%	0.28%	1.02%	0.43%	1.64%
99	0.1%	0.03%	0.17%	0.68%	0.28%	1.09%
100	0.06%	0.02%	0.1%	0.44%	0.17%	0.71%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 6.22% in the birth year in South Sudan and 0.81% in Tonga, 0.55% vs 0.14% at age 30, 1.98% vs 1.43% at 60, and 11.3% vs 8.01% at 80.

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

Table

Age	Probability of dying
	South Sudan			Tonga
	Average	Male	Female	Average	Male	Female
0	6.22%	6.67%	5.75%	0.81%	0.91%	0.7%
1	1.16%	1.1%	1.22%	0.04%	0.05%	0.04%
2	0.99%	0.99%	0.98%	0.04%	0.05%	0.04%
3	0.85%	0.9%	0.8%	0.04%	0.04%	0.03%
4	0.73%	0.8%	0.65%	0.04%	0.04%	0.03%
5	0.62%	0.71%	0.53%	0.03%	0.04%	0.03%
6	0.53%	0.63%	0.43%	0.03%	0.03%	0.03%
7	0.45%	0.54%	0.36%	0.03%	0.03%	0.02%
8	0.39%	0.47%	0.31%	0.03%	0.03%	0.02%
9	0.34%	0.4%	0.27%	0.02%	0.03%	0.02%
10	0.3%	0.35%	0.24%	0.02%	0.02%	0.02%
11	0.27%	0.32%	0.22%	0.02%	0.03%	0.02%
12	0.26%	0.3%	0.22%	0.03%	0.03%	0.03%
13	0.26%	0.3%	0.22%	0.03%	0.04%	0.03%
14	0.27%	0.31%	0.22%	0.04%	0.05%	0.04%
15	0.29%	0.34%	0.24%	0.05%	0.06%	0.04%
16	0.32%	0.37%	0.26%	0.07%	0.08%	0.05%
17	0.35%	0.42%	0.27%	0.08%	0.11%	0.06%
18	0.38%	0.47%	0.29%	0.1%	0.13%	0.07%
19	0.41%	0.52%	0.3%	0.11%	0.15%	0.07%
20	0.44%	0.57%	0.32%	0.12%	0.17%	0.07%
21	0.47%	0.61%	0.33%	0.12%	0.17%	0.07%
22	0.49%	0.63%	0.34%	0.12%	0.18%	0.07%
23	0.5%	0.65%	0.35%	0.12%	0.18%	0.07%
24	0.51%	0.65%	0.36%	0.12%	0.18%	0.07%
25	0.51%	0.65%	0.37%	0.13%	0.18%	0.08%
26	0.52%	0.65%	0.38%	0.13%	0.18%	0.08%
27	0.52%	0.65%	0.39%	0.13%	0.19%	0.08%
28	0.53%	0.65%	0.41%	0.13%	0.19%	0.09%
29	0.54%	0.66%	0.42%	0.13%	0.2%	0.09%
30	0.55%	0.67%	0.43%	0.14%	0.21%	0.1%
31	0.56%	0.68%	0.44%	0.14%	0.21%	0.1%
32	0.57%	0.69%	0.45%	0.15%	0.22%	0.11%
33	0.58%	0.7%	0.46%	0.16%	0.23%	0.11%
34	0.59%	0.71%	0.47%	0.17%	0.25%	0.12%
35	0.6%	0.73%	0.48%	0.18%	0.26%	0.13%
36	0.61%	0.74%	0.49%	0.19%	0.28%	0.14%
37	0.63%	0.76%	0.51%	0.21%	0.3%	0.15%
38	0.65%	0.79%	0.53%	0.22%	0.32%	0.16%
39	0.68%	0.82%	0.56%	0.24%	0.34%	0.17%
40	0.71%	0.85%	0.58%	0.26%	0.37%	0.19%
41	0.74%	0.89%	0.61%	0.28%	0.4%	0.2%
42	0.77%	0.92%	0.63%	0.3%	0.43%	0.22%
43	0.79%	0.96%	0.64%	0.33%	0.47%	0.24%
44	0.81%	0.99%	0.66%	0.36%	0.51%	0.26%
45	0.84%	1.02%	0.67%	0.39%	0.55%	0.28%
46	0.86%	1.06%	0.69%	0.44%	0.6%	0.31%
47	0.9%	1.11%	0.71%	0.48%	0.65%	0.33%
48	0.95%	1.17%	0.75%	0.52%	0.71%	0.36%
49	1%	1.24%	0.79%	0.56%	0.78%	0.39%
50	1.07%	1.32%	0.85%	0.61%	0.85%	0.42%
51	1.14%	1.41%	0.91%	0.68%	0.92%	0.46%
52	1.21%	1.49%	0.97%	0.72%	1%	0.5%
53	1.28%	1.57%	1.03%	0.77%	1.09%	0.54%
54	1.35%	1.65%	1.09%	0.86%	1.18%	0.58%
55	1.42%	1.73%	1.15%	0.94%	1.28%	0.63%
56	1.49%	1.82%	1.21%	1.02%	1.39%	0.68%
57	1.58%	1.93%	1.29%	1.11%	1.51%	0.74%
58	1.69%	2.06%	1.39%	1.19%	1.64%	0.8%
59	1.82%	2.21%	1.5%	1.3%	1.78%	0.87%
60	1.98%	2.39%	1.64%	1.43%	1.94%	0.94%
61	2.16%	2.59%	1.8%	1.58%	2.11%	1.01%
62	2.35%	2.81%	1.97%	1.71%	2.3%	1.1%
63	2.56%	3.04%	2.17%	1.82%	2.5%	1.19%
64	2.78%	3.28%	2.37%	1.96%	2.71%	1.3%
65	3.02%	3.54%	2.6%	2.1%	2.93%	1.43%
66	3.28%	3.83%	2.84%	2.28%	3.17%	1.56%
67	3.57%	4.14%	3.12%	2.49%	3.43%	1.72%
68	3.9%	4.5%	3.43%	2.71%	3.72%	1.89%
69	4.26%	4.91%	3.77%	2.96%	4.03%	2.08%
70	4.68%	5.37%	4.16%	3.2%	4.37%	2.3%
71	5.13%	5.87%	4.58%	3.48%	4.74%	2.54%
72	5.62%	6.41%	5.03%	3.82%	5.14%	2.81%
73	6.14%	6.99%	5.52%	4.12%	5.57%	3.11%
74	6.69%	7.61%	6.05%	4.5%	6.05%	3.46%
75	7.29%	8.28%	6.61%	4.99%	6.57%	3.85%
76	7.94%	9%	7.23%	5.48%	7.14%	4.29%
77	8.67%	9.8%	7.92%	6.05%	7.76%	4.79%
78	9.47%	10.7%	8.69%	6.65%	8.45%	5.35%
79	10.4%	11.7%	9.54%	7.31%	9.2%	5.98%
80	11.3%	12.7%	10.5%	8.01%	10%	6.67%
81	12.4%	13.8%	11.5%	8.75%	10.9%	7.44%
82	13.5%	15%	12.6%	9.66%	11.8%	8.29%
83	14.6%	16.3%	13.7%	10.6%	12.8%	9.22%
84	15.9%	17.6%	14.9%	11.5%	13.9%	10.2%
85	17.1%	19%	16.1%	12.7%	15%	11.3%
86	18.5%	20.6%	17.4%	13.9%	16.2%	12.5%
87	19.9%	22.4%	18.6%	15.1%	17.5%	13.8%
88	21.4%	24.3%	20%	16.4%	18.9%	15.2%
89	23%	26.4%	21.4%	17.9%	20.4%	16.7%
90	24.6%	28.6%	22.9%	19.5%	21.9%	18.2%
91	26.3%	30.8%	24.6%	20.9%	23.6%	19.9%
92	28.1%	33%	26.4%	22.6%	25.3%	21.6%
93	30%	35.2%	28.4%	24.5%	27%	23.4%
94	31.9%	37.5%	30.6%	26.3%	28.7%	25.3%
95	33.8%	39.8%	32.8%	27.8%	30.4%	27.2%
96	35.6%	41.9%	35%	29.5%	32.2%	29.2%
97	37.7%	43.8%	37.1%	31.5%	34%	31.2%
98	40.5%	45.5%	39.1%	33.6%	35.8%	33.3%
99	43.7%	47.1%	41%	35.7%	37.6%	35.4%
100	45.7%	49.1%	43.1%	37.6%	39.4%	37.4%

Death rate by age in South Sudan compared to Tonga

In South Sudan, the most common age of death is 0, compared to 82 in Tonga. The median age of death is 67.5 in South Sudan and 77 in Tonga — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	South Sudan			Tonga
	Total	Male	Female	Total	Male	Female
0	6,215	6,667	5,754	807	907	698
1	1,086	1,027	1,147	44.3	49.1	39.1
2	915	916	915	41	45.5	36.2
3	776	818	733	38	42.1	33.5
4	660	727	591	35.1	38.8	31.1
5	561	641	479	32.3	35.6	28.8
6	477	558	393	29.6	32.4	26.6
7	404	480	326	27.2	29.4	24.7
8	344	411	275.7	25.2	26.9	23.3
9	296.8	353	238.8	23.8	25.2	22.3
10	262	309	213.5	23.5	24.7	22.2
11	239.4	279	198.2	24.5	25.7	23.1
12	227.9	262.8	191.3	27.1	28.8	25.4
13	226.8	260.1	192	32.1	34.8	29.4
14	235.1	270	198.7	40.1	44.9	35.3
15	251.3	290.8	210.1	52	60.1	43.1
16	273.6	321	224.4	67.2	80.6	52
17	299.3	357	239.3	83.5	104.9	60.8
18	327	397	253.5	98.6	129.3	67.7
19	354	439	265.4	110.3	149.1	71.7
20	379	478	275.1	117.2	162.1	73
21	398	508	283.3	119.3	168.7	72.7
22	412	527	290.7	119.8	171.1	72
23	420	535	298.4	120.2	172.2	72.1
24	424	536	307	121.1	173.5	73.2
25	427	532	316	122.7	175.8	75.5
26	429	527	325	124.3	179.1	78.7
27	432	523	335	125.1	183.2	82.4
28	436	522	344	126.2	187.9	86.3
29	440	523	352	129.6	193.2	90.2
30	446	527	359	133.8	199.1	94.4
31	451	533	366	139	205.9	99
32	456	538	372	146.5	214	104.2
33	461	544	377	155.9	223.5	110.4
34	466	549	384	164.3	234.9	117.7
35	473	555	392	173.9	248.1	126.1
36	481	563	402	185.7	263.2	135.5
37	493	575	415	198.5	280.4	145.6
38	508	590	431	214	299.6	156.4
39	526	608	449	229.1	321	167.9
40	545	628	467	244.4	345	180.3
41	564	648	483	263	371	194
42	580	667	496	286.3	400	209.4
43	593	685	506	312	432	227
44	604	700	512	339	467	246.8
45	616	717	519	371	505	268.7
46	631	737	528	407	547	292.4
47	651	762	543	444	593	318
48	679	794	566	480	642	344
49	713	832	596	515	695	371
50	753	875	633	562	752	399
51	795	919	672	615	812	429
52	835	961	711	654	874	461
53	872	999	748	696	940	497
54	906	1,033	782	764	1,008	535
55	939	1,066	816	831	1,081	578
56	976	1,102	853	898	1,157	623
57	1,018	1,145	896	960	1,239	670
58	1,072	1,197	950	1,023	1,327	720
59	1,136	1,260	1,015	1,104	1,421	772
60	1,210	1,332	1,092	1,192	1,519	827
61	1,292	1,409	1,178	1,299	1,622	886
62	1,378	1,488	1,270	1,385	1,726	950
63	1,465	1,565	1,366	1,447	1,831	1,022
64	1,551	1,639	1,464	1,531	1,936	1,102
65	1,636	1,710	1,565	1,614	2,040	1,190
66	1,724	1,782	1,668	1,712	2,143	1,287
67	1,815	1,855	1,777	1,827	2,246	1,392
68	1,911	1,933	1,891	1,944	2,348	1,505
69	2,011	2,013	2,011	2,061	2,449	1,626
70	2,111	2,091	2,133	2,163	2,548	1,756
71	2,207	2,164	2,252	2,276	2,643	1,895
72	2,292	2,226	2,363	2,412	2,731	2,043
73	2,364	2,272	2,461	2,502	2,811	2,202
74	2,419	2,300	2,546	2,622	2,881	2,371
75	2,459	2,311	2,615	2,777	2,939	2,549
76	2,485	2,305	2,672	2,894	2,984	2,733
77	2,497	2,284	2,714	3,020	3,014	2,920
78	2,490	2,246	2,742	3,121	3,026	3,105
79	2,465	2,188	2,750	3,201	3,016	3,281
80	2,417	2,108	2,734	3,251	2,980	3,444
81	2,342	2,003	2,685	3,269	2,916	3,585
82	2,237	1,874	2,600	3,293	2,821	3,696
83	2,103	1,725	2,478	3,249	2,697	3,769
84	1,944	1,562	2,321	3,170	2,544	3,798
85	1,767	1,392	2,135	3,085	2,369	3,776
86	1,579	1,221	1,929	2,959	2,176	3,700
87	1,386	1,052	1,712	2,770	1,970	3,567
88	1,193	887	1,492	2,547	1,756	3,381
89	1,007	729	1,279	2,333	1,536	3,144
90	831	582	1,077	2,077	1,317	2,865
91	670	447	890	1,794	1,105	2,556
92	527	331	722	1,534	904	2,227
93	404	237	571	1,291	722	1,893
94	301	163.5	440	1,045	561	1,566
95	217.2	108.2	328	814	424	1,260
96	151.7	68.7	235	624	312	984
97	103.4	41.7	162.1	470	223.6	745
98	69.1	24.4	107.5	345	155.5	546
99	44.4	13.7	68.6	242.4	105	387
100	0	0	0	72.3	5.55	129.4

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 South Sudan and Tonga 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
• South Sudan vs Tonga: Data-driven Comparison

By topic vs comparisons:

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