Life Expectancy in Italy 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 Italy vs South Sudan: 84.5 years vs 69.1 at 30, 86.6 vs 78 at 65, 89.9 vs 85.6 at 80 — significantly higher than the 84 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 Italy and South Sudan.

Table

Current age, years	Total life expectancy, years
	Italy			South Sudan
	Average	Male	Female	Average	Male	Female
0	84	81.9	86	57.9	54.9	60.9
1	84.2	82.1	86.2	61.7	58.8	64.6
2	84.2	82.1	86.2	62.4	59.4	65.4
3	84.2	82.1	86.2	63	60	66
4	84.2	82.2	86.2	63.5	60.5	66.5
5	84.2	82.2	86.2	64	61	66.9
6	84.2	82.2	86.2	64.3	61.4	67.3
7	84.2	82.2	86.2	64.7	61.7	67.5
8	84.3	82.2	86.2	64.9	62	67.8
9	84.3	82.2	86.2	65.1	62.3	67.9
10	84.3	82.2	86.2	65.3	62.5	68.1
11	84.3	82.2	86.2	65.5	62.7	68.2
12	84.3	82.2	86.2	65.6	62.9	68.4
13	84.3	82.2	86.2	65.8	63	68.5
14	84.3	82.2	86.2	65.9	63.2	68.6
15	84.3	82.2	86.3	66.1	63.3	68.7
16	84.3	82.2	86.3	66.2	63.5	68.9
17	84.3	82.2	86.3	66.4	63.7	69
18	84.3	82.2	86.3	66.5	63.9	69.1
19	84.3	82.3	86.3	66.7	64.1	69.3
20	84.3	82.3	86.3	66.9	64.3	69.4
21	84.4	82.3	86.3	67.1	64.6	69.6
22	84.4	82.3	86.3	67.3	64.8	69.8
23	84.4	82.3	86.3	67.6	65.1	69.9
24	84.4	82.4	86.3	67.8	65.4	70.1
25	84.4	82.4	86.3	68	65.6	70.2
26	84.4	82.4	86.3	68.2	65.9	70.4
27	84.4	82.4	86.3	68.4	66.2	70.6
28	84.5	82.5	86.4	68.7	66.4	70.7
29	84.5	82.5	86.4	68.9	66.7	70.9
30	84.5	82.5	86.4	69.1	66.9	71.1
31	84.5	82.5	86.4	69.3	67.2	71.3
32	84.5	82.5	86.4	69.5	67.4	71.4
33	84.5	82.6	86.4	69.7	67.7	71.6
34	84.6	82.6	86.4	69.9	67.9	71.8
35	84.6	82.6	86.4	70.1	68.1	72
36	84.6	82.6	86.4	70.4	68.4	72.2
37	84.6	82.7	86.5	70.6	68.6	72.3
38	84.6	82.7	86.5	70.8	68.9	72.5
39	84.7	82.7	86.5	71	69.1	72.7
40	84.7	82.7	86.5	71.2	69.3	72.9
41	84.7	82.8	86.5	71.4	69.6	73.1
42	84.8	82.8	86.6	71.6	69.9	73.3
43	84.8	82.9	86.6	71.9	70.1	73.5
44	84.8	82.9	86.6	72.1	70.4	73.7
45	84.9	82.9	86.6	72.3	70.6	73.8
46	84.9	83	86.7	72.6	70.9	74
47	84.9	83	86.7	72.8	71.2	74.2
48	85	83.1	86.8	73	71.4	74.4
49	85	83.2	86.8	73.3	71.7	74.6
50	85.1	83.2	86.8	73.5	72	74.8
51	85.2	83.3	86.9	73.7	72.3	75
52	85.2	83.4	86.9	74	72.6	75.2
53	85.3	83.4	87	74.3	72.9	75.5
54	85.4	83.5	87	74.5	73.2	75.7
55	85.4	83.6	87.1	74.8	73.5	75.9
56	85.5	83.7	87.2	75.1	73.8	76.2
57	85.6	83.8	87.2	75.4	74.1	76.4
58	85.7	83.9	87.3	75.7	74.5	76.7
59	85.8	84.1	87.4	76	74.8	76.9
60	85.9	84.2	87.5	76.3	75.1	77.2
61	86	84.3	87.6	76.6	75.5	77.5
62	86.2	84.5	87.7	76.9	75.9	77.8
63	86.3	84.6	87.8	77.3	76.3	78.1
64	86.4	84.8	87.9	77.6	76.7	78.4
65	86.6	85	88	78	77.1	78.7
66	86.7	85.1	88.1	78.4	77.5	79.1
67	86.9	85.3	88.2	78.8	77.9	79.5
68	87	85.5	88.3	79.2	78.4	79.8
69	87.2	85.7	88.5	79.6	78.9	80.2
70	87.4	86	88.6	80.1	79.3	80.7
71	87.6	86.2	88.8	80.6	79.8	81.1
72	87.8	86.4	88.9	81.1	80.4	81.6
73	88	86.7	89.1	81.6	80.9	82
74	88.2	87	89.3	82.1	81.5	82.5
75	88.5	87.3	89.4	82.6	82	83.1
76	88.7	87.6	89.6	83.2	82.6	83.6
77	89	87.9	89.9	83.8	83.2	84.2
78	89.3	88.2	90.1	84.4	83.8	84.7
79	89.6	88.6	90.3	85	84.5	85.3
80	89.9	88.9	90.6	85.6	85.1	85.9
81	90.2	89.3	90.9	86.3	85.8	86.6
82	90.6	89.7	91.2	87	86.5	87.2
83	91	90.2	91.5	87.7	87.2	87.9
84	91.4	90.6	91.9	88.4	87.9	88.6
85	91.9	91.1	92.3	89.1	88.7	89.4
86	92.3	91.6	92.8	89.9	89.4	90.1
87	92.8	92.2	93.2	90.6	90.2	90.8
88	93.4	92.8	93.7	91.4	91	91.6
89	94	93.4	94.3	92.2	91.8	92.4
90	94.6	94.1	94.8	93	92.6	93.2
91	95.2	94.8	95.4	93.8	93.4	94
92	95.9	95.5	96.1	94.7	94.2	94.8
93	96.6	96.2	96.7	95.5	95.1	95.6
94	97.3	96.9	97.4	96.3	96	96.4
95	98	97.7	98.1	97.2	96.9	97.3
96	98.8	98.5	98.9	98	97.8	98.1
97	99.6	99.3	99.7	98.9	98.7	99
98	100.4	100.2	100.5	99.8	99.6	99.9
99	101.2	101	101.3	100.7	100.6	100.8
100	102.1	101.9	102.1	101.7	101.6	101.8

Odds of living to age in Italy vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 95.3% in Italy and 61% in South Sudan are expected to survive till at least 60 years old, 88.8% and 45% will live to 70 years or older, 73.1% and 21.3% to 80+ years, and 35% 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
	Italy			South Sudan
	Average	Male	Female	Average	Male	Female
1	99.8%	99.8%	99.8%	93.7%	93.3%	94.2%
2	99.8%	99.8%	99.8%	92.6%	92.3%	93%
3	99.8%	99.7%	99.8%	91.7%	91.3%	92.1%
4	99.8%	99.7%	99.8%	90.9%	90.5%	91.4%
5	99.7%	99.7%	99.8%	90.3%	89.8%	90.8%
6	99.7%	99.7%	99.8%	89.7%	89.1%	90.3%
7	99.7%	99.7%	99.8%	89.2%	88.6%	89.9%
8	99.7%	99.7%	99.7%	88.8%	88.1%	89.6%
9	99.7%	99.7%	99.7%	88.5%	87.7%	89.3%
10	99.7%	99.7%	99.7%	88.2%	87.3%	89%
11	99.7%	99.7%	99.7%	87.9%	87%	88.8%
12	99.7%	99.7%	99.7%	87.7%	86.7%	88.6%
13	99.7%	99.7%	99.7%	87.4%	86.4%	88.4%
14	99.7%	99.7%	99.7%	87.2%	86.2%	88.2%
15	99.7%	99.7%	99.7%	87%	85.9%	88%
16	99.7%	99.6%	99.7%	86.7%	85.6%	87.8%
17	99.7%	99.6%	99.7%	86.4%	85.3%	87.6%
18	99.6%	99.6%	99.7%	86.1%	84.9%	87.4%
19	99.6%	99.6%	99.7%	85.8%	84.5%	87.1%
20	99.6%	99.5%	99.7%	85.4%	84.1%	86.8%
21	99.6%	99.5%	99.7%	85.1%	83.6%	86.6%
22	99.6%	99.5%	99.6%	84.7%	83.1%	86.3%
23	99.5%	99.4%	99.6%	84.2%	82.6%	86%
24	99.5%	99.4%	99.6%	83.8%	82%	85.7%
25	99.5%	99.4%	99.6%	83.4%	81.5%	85.4%
26	99.5%	99.3%	99.6%	83%	81%	85.1%
27	99.4%	99.3%	99.6%	82.5%	80.4%	84.7%
28	99.4%	99.3%	99.6%	82.1%	79.9%	84.4%
29	99.4%	99.2%	99.5%	81.7%	79.4%	84%
30	99.3%	99.2%	99.5%	81.2%	78.9%	83.7%
31	99.3%	99.1%	99.5%	80.8%	78.3%	83.3%
32	99.3%	99.1%	99.5%	80.3%	77.8%	83%
33	99.2%	99.1%	99.5%	79.9%	77.3%	82.6%
34	99.2%	99%	99.4%	79.4%	76.7%	82.2%
35	99.2%	99%	99.4%	78.9%	76.2%	81.8%
36	99.1%	98.9%	99.4%	78.5%	75.6%	81.4%
37	99.1%	98.8%	99.4%	78%	75%	81%
38	99%	98.8%	99.3%	77.5%	74.5%	80.6%
39	99%	98.7%	99.3%	77%	73.9%	80.2%
40	98.9%	98.7%	99.2%	76.5%	73.3%	79.7%
41	98.9%	98.6%	99.2%	75.9%	72.6%	79.3%
42	98.8%	98.5%	99.1%	75.3%	72%	78.8%
43	98.7%	98.4%	99.1%	74.8%	71.3%	78.3%
44	98.7%	98.3%	99%	74.2%	70.6%	77.8%
45	98.6%	98.2%	99%	73.6%	69.9%	77.3%
46	98.5%	98.1%	98.9%	72.9%	69.2%	76.7%
47	98.3%	97.9%	98.8%	72.3%	68.5%	76.2%
48	98.2%	97.8%	98.7%	71.7%	67.7%	75.7%
49	98.1%	97.6%	98.6%	71%	66.9%	75.1%
50	97.9%	97.4%	98.5%	70.3%	66.1%	74.5%
51	97.8%	97.2%	98.3%	69.5%	65.2%	73.9%
52	97.6%	97%	98.2%	68.7%	64.3%	73.2%
53	97.4%	96.7%	98%	67.9%	63.3%	72.5%
54	97.2%	96.4%	97.9%	67%	62.3%	71.7%
55	96.9%	96.1%	97.7%	66.1%	61.3%	70.9%
56	96.6%	95.8%	97.5%	65.2%	60.2%	70.1%
57	96.3%	95.4%	97.3%	64.2%	59.1%	69.3%
58	96%	95%	97%	63.2%	58%	68.4%
59	95.7%	94.6%	96.8%	62.1%	56.8%	67.4%
60	95.3%	94.1%	96.5%	61%	55.5%	66.4%
61	94.8%	93.5%	96.2%	59.7%	54.2%	65.3%
62	94.4%	92.9%	95.8%	58.5%	52.8%	64.1%
63	93.9%	92.3%	95.4%	57.1%	51.3%	62.9%
64	93.3%	91.6%	95%	55.6%	49.7%	61.5%
65	92.7%	90.8%	94.6%	54.1%	48.1%	60%
66	92%	90%	94.1%	52.4%	46.4%	58.5%
67	91.3%	89.1%	93.6%	50.7%	44.6%	56.8%
68	90.6%	88.1%	93%	48.9%	42.8%	55%
69	89.7%	87%	92.4%	47%	40.8%	53.1%
70	88.8%	85.8%	91.7%	45%	38.8%	51.1%
71	87.8%	84.5%	91%	42.9%	36.7%	49%
72	86.7%	83.2%	90.2%	40.7%	34.6%	46.8%
73	85.5%	81.6%	89.2%	38.4%	32.4%	44.4%
74	84.2%	80%	88.2%	36%	30.1%	41.9%
75	82.7%	78.2%	87.1%	33.6%	27.8%	39.4%
76	81.1%	76.2%	85.9%	31.2%	25.5%	36.8%
77	79.4%	74.1%	84.5%	28.7%	23.2%	34.1%
78	77.5%	71.9%	83%	26.2%	20.9%	31.4%
79	75.4%	69.4%	81.3%	23.7%	18.7%	28.7%
80	73.1%	66.7%	79.3%	21.3%	16.5%	26%
81	70.6%	63.8%	77.1%	18.9%	14.4%	23.2%
82	67.7%	60.6%	74.6%	16.5%	12.4%	20.6%
83	64.6%	57.1%	71.8%	14.3%	10.6%	18%
84	61.2%	53.4%	68.6%	12.2%	8.84%	15.5%
85	57.4%	49.4%	65.1%	10.3%	7.28%	13.2%
86	53.4%	45.2%	61.2%	8.5%	5.9%	11.1%
87	49.1%	40.7%	56.9%	6.93%	4.68%	9.14%
88	44.5%	36.2%	52.4%	5.55%	3.63%	7.43%
89	39.8%	31.6%	47.5%	4.36%	2.75%	5.95%
90	35%	27%	42.3%	3.36%	2.02%	4.68%
91	30.3%	22.7%	37.1%	2.53%	1.45%	3.6%
92	25.7%	18.7%	32%	1.87%	1%	2.72%
93	21.3%	15%	27%	1.34%	0.67%	2%
94	17.3%	11.7%	22.3%	0.94%	0.43%	1.43%
95	13.7%	8.88%	17.9%	0.64%	0.27%	0.99%
96	10.5%	6.54%	14%	0.43%	0.16%	0.67%
97	7.84%	4.65%	10.6%	0.28%	0.09%	0.43%
98	5.65%	3.19%	7.72%	0.17%	0.05%	0.27%
99	3.93%	2.11%	5.44%	0.1%	0.03%	0.17%
100	2.63%	1.35%	3.69%	0.05%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.21% in the birth year in Italy and 6.27% in South Sudan, 0.03% vs 0.55% at age 30, 0.45% vs 1.98% at 60, and 3.5% vs 11.3% at 80.

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

Table

Age	Probability of dying
	Italy			South Sudan
	Average	Male	Female	Average	Male	Female
0	0.21%	0.23%	0.2%	6.27%	6.72%	5.81%
1	0.02%	0.02%	0.02%	1.17%	1.11%	1.23%
2	0.008%	0.008%	0.007%	1%	1%	0.99%
3	0.007%	0.008%	0.006%	0.86%	0.9%	0.8%
4	0.006%	0.007%	0.006%	0.73%	0.81%	0.65%
5	0.006%	0.006%	0.005%	0.63%	0.72%	0.53%
6	0.005%	0.005%	0.005%	0.54%	0.63%	0.44%
7	0.005%	0.005%	0.004%	0.46%	0.55%	0.37%
8	0.005%	0.006%	0.004%	0.39%	0.47%	0.31%
9	0.005%	0.006%	0.005%	0.34%	0.41%	0.27%
10	0.006%	0.007%	0.005%	0.3%	0.36%	0.24%
11	0.006%	0.007%	0.005%	0.27%	0.32%	0.23%
12	0.006%	0.007%	0.005%	0.26%	0.31%	0.22%
13	0.007%	0.008%	0.006%	0.26%	0.3%	0.22%
14	0.009%	0.01%	0.007%	0.27%	0.32%	0.23%
15	0.01%	0.01%	0.008%	0.29%	0.34%	0.24%
16	0.01%	0.02%	0.009%	0.32%	0.38%	0.26%
17	0.02%	0.02%	0.01%	0.35%	0.42%	0.27%
18	0.02%	0.03%	0.01%	0.38%	0.47%	0.29%
19	0.02%	0.03%	0.01%	0.42%	0.52%	0.31%
20	0.02%	0.03%	0.01%	0.45%	0.57%	0.32%
21	0.02%	0.04%	0.01%	0.47%	0.61%	0.33%
22	0.02%	0.04%	0.01%	0.49%	0.64%	0.34%
23	0.02%	0.04%	0.01%	0.5%	0.65%	0.35%
24	0.03%	0.04%	0.01%	0.51%	0.66%	0.36%
25	0.03%	0.04%	0.02%	0.51%	0.66%	0.37%
26	0.03%	0.04%	0.02%	0.52%	0.65%	0.38%
27	0.03%	0.04%	0.02%	0.53%	0.65%	0.4%
28	0.03%	0.04%	0.02%	0.53%	0.66%	0.41%
29	0.03%	0.04%	0.02%	0.54%	0.66%	0.42%
30	0.03%	0.04%	0.02%	0.55%	0.67%	0.43%
31	0.03%	0.04%	0.02%	0.56%	0.68%	0.44%
32	0.03%	0.05%	0.02%	0.57%	0.69%	0.45%
33	0.04%	0.05%	0.02%	0.58%	0.71%	0.46%
34	0.04%	0.05%	0.02%	0.59%	0.72%	0.47%
35	0.04%	0.05%	0.03%	0.6%	0.73%	0.48%
36	0.04%	0.06%	0.03%	0.61%	0.75%	0.5%
37	0.05%	0.06%	0.04%	0.63%	0.77%	0.51%
38	0.05%	0.06%	0.04%	0.66%	0.79%	0.54%
39	0.06%	0.07%	0.04%	0.69%	0.82%	0.56%
40	0.06%	0.08%	0.05%	0.72%	0.86%	0.59%
41	0.07%	0.09%	0.05%	0.75%	0.89%	0.61%
42	0.08%	0.09%	0.06%	0.77%	0.93%	0.63%
43	0.08%	0.1%	0.06%	0.8%	0.96%	0.65%
44	0.09%	0.12%	0.07%	0.82%	0.99%	0.66%
45	0.1%	0.13%	0.08%	0.84%	1.03%	0.67%
46	0.12%	0.14%	0.09%	0.87%	1.07%	0.69%
47	0.13%	0.16%	0.1%	0.9%	1.11%	0.71%
48	0.14%	0.17%	0.11%	0.95%	1.17%	0.75%
49	0.15%	0.19%	0.12%	1.01%	1.25%	0.8%
50	0.17%	0.21%	0.13%	1.07%	1.33%	0.85%
51	0.19%	0.23%	0.14%	1.14%	1.41%	0.91%
52	0.21%	0.26%	0.16%	1.22%	1.5%	0.97%
53	0.23%	0.29%	0.17%	1.29%	1.58%	1.03%
54	0.25%	0.32%	0.19%	1.35%	1.66%	1.09%
55	0.28%	0.35%	0.21%	1.42%	1.74%	1.15%
56	0.31%	0.39%	0.23%	1.5%	1.83%	1.22%
57	0.34%	0.43%	0.25%	1.59%	1.93%	1.29%
58	0.37%	0.48%	0.27%	1.7%	2.06%	1.39%
59	0.41%	0.52%	0.3%	1.83%	2.22%	1.51%
60	0.45%	0.58%	0.33%	1.98%	2.4%	1.64%
61	0.49%	0.64%	0.35%	2.16%	2.6%	1.8%
62	0.54%	0.7%	0.38%	2.36%	2.81%	1.98%
63	0.59%	0.77%	0.42%	2.56%	3.05%	2.17%
64	0.65%	0.84%	0.47%	2.79%	3.29%	2.38%
65	0.71%	0.92%	0.51%	3.02%	3.55%	2.6%
66	0.78%	1.01%	0.56%	3.28%	3.83%	2.85%
67	0.85%	1.12%	0.6%	3.57%	4.15%	3.12%
68	0.93%	1.23%	0.66%	3.9%	4.51%	3.43%
69	1.02%	1.34%	0.73%	4.27%	4.92%	3.78%
70	1.13%	1.48%	0.81%	4.68%	5.37%	4.17%
71	1.26%	1.64%	0.91%	5.14%	5.87%	4.59%
72	1.4%	1.83%	1.02%	5.62%	6.42%	5.04%
73	1.56%	2.03%	1.14%	6.14%	7%	5.53%
74	1.72%	2.25%	1.27%	6.69%	7.62%	6.06%
75	1.91%	2.49%	1.42%	7.3%	8.28%	6.62%
76	2.12%	2.75%	1.59%	7.95%	9.01%	7.24%
77	2.38%	3.05%	1.81%	8.67%	9.8%	7.93%
78	2.68%	3.42%	2.07%	9.47%	10.7%	8.7%
79	3.05%	3.87%	2.39%	10.4%	11.7%	9.55%
80	3.5%	4.41%	2.77%	11.3%	12.7%	10.5%
81	4.02%	5.02%	3.24%	12.4%	13.8%	11.5%
82	4.61%	5.71%	3.8%	13.5%	15%	12.6%
83	5.31%	6.53%	4.42%	14.7%	16.3%	13.7%
84	6.11%	7.49%	5.14%	15.9%	17.6%	14.9%
85	7.04%	8.59%	5.98%	17.2%	19%	16.1%
86	8.08%	9.82%	6.95%	18.5%	20.6%	17.4%
87	9.25%	11.2%	8.05%	19.9%	22.4%	18.6%
88	10.6%	12.7%	9.34%	21.4%	24.3%	20%
89	12.1%	14.4%	10.8%	23%	26.4%	21.4%
90	13.6%	16%	12.3%	24.6%	28.6%	22.9%
91	15.2%	17.8%	13.9%	26.3%	30.8%	24.6%
92	16.9%	19.8%	15.6%	28%	33%	26.4%
93	18.8%	21.9%	17.5%	29.8%	35.2%	28.4%
94	20.9%	24.1%	19.6%	31.7%	37.5%	30.6%
95	23.1%	26.4%	22%	33.5%	39.8%	32.8%
96	25.5%	28.9%	24.4%	35.7%	41.9%	35%
97	28%	31.4%	26.9%	38.7%	43.8%	37.1%
98	30.4%	33.8%	29.5%	42.1%	45.5%	39.1%
99	33%	36.3%	32.1%	44.2%	47.1%	41%
100	35.4%	38.7%	34.6%	47.2%	49.1%	43.1%

Death rate by age in Italy compared to South Sudan

In Italy, the most common age of death is 89, compared to 0 in South Sudan. The median age of death is 86.8 in Italy 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
	Italy			South Sudan
	Total	Male	Female	Total	Male	Female
0	213.9	226.8	200.2	6,268	6,715	5,811
1	19.5	20.6	18.4	1,094	1,033	1,158
2	7.66	8.35	6.93	924	923	924
3	7.02	7.83	6.16	784	826	741
4	6.4	6.9	5.87	667	735	598
5	5.49	5.71	5.27	568	647	485
6	4.95	5.27	4.62	482	564	397
7	4.84	5.4	4.25	409	485	330
8	5.02	5.73	4.27	348	415	278.6
9	5.38	6.17	4.55	299.8	356	241.3
10	5.75	6.6	4.85	264.5	312	215.6
11	5.79	6.59	4.93	241.6	281.4	199.9
12	6.01	6.84	5.13	229.7	264.9	192.9
13	7.05	8.18	5.86	228.5	262	193.4
14	8.82	10.6	6.9	236.7	271.8	200.1
15	11.2	14.2	7.97	253	292.7	211.5
16	14	18.8	8.98	275.3	323	225.8
17	17.4	24.3	10	301	359	240.8
18	20.3	29.3	10.9	329	400	254.9
19	21.9	31.9	11.3	356	442	266.8
20	23.1	33.3	12.2	381	480	276.5
21	24.6	35	13.6	400	511	284.6
22	24.6	35.6	13	414	530	292
23	24.3	35.5	12.3	422	538	299.8
24	25.3	36.1	13.6	426	538	308
25	26.7	36.9	15.5	429	535	317
26	27.4	37.8	15.8	431	529	327
27	27.3	38	15.3	434	526	336
28	27.1	37.6	15.5	438	524	345
29	27.6	38	16.2	442	526	353
30	29	40.1	17.1	447	529	361
31	31.2	43	18.5	452	535	367
32	33.4	45.4	20.7	457	540	373
33	35.4	47.5	22.7	462	546	379
34	37.5	49.5	24.8	467	551	385
35	40	52	27.5	474	557	393
36	43.1	55	31	482	565	403
37	46.9	58.5	35.1	494	576	417
38	51.4	63.3	39.3	510	591	433
39	56.6	70.1	42.9	528	609	451
40	62.3	78	46.3	547	629	469
41	68.5	85.8	50.9	566	650	485
42	75	93.3	56.5	582	669	498
43	82.3	101.3	62.9	595	686	507
44	91.7	113	70	606	702	514
45	102.6	126.9	77.9	618	718	520
46	113.6	140.2	86.8	632	738	529
47	124.9	153.2	96.4	653	763	545
48	136.9	167.5	106.1	680	795	567
49	150.6	184.5	116.6	715	833	598
50	166.8	204.9	128.6	754	876	634
51	185	228.3	141.7	796	920	673
52	203.9	253.1	154.9	836	961	713
53	223.6	278.4	169.4	873	999	749
54	244.8	304	186.2	907	1,033	784
55	270.3	338	203.6	940	1,066	817
56	298.2	376	221.7	976	1,102	853
57	327	413	241.5	1,019	1,144	897
58	357	451	264.1	1,071	1,196	950
59	392	495	290	1,135	1,259	1,015
60	429	543	316	1,210	1,330	1,092
61	466	595	340	1,292	1,407	1,178
62	506	650	365	1,377	1,486	1,270
63	554	711	401	1,463	1,563	1,366
64	605	772	443	1,549	1,636	1,464
65	655	831	485	1,635	1,707	1,564
66	714	911	524	1,722	1,778	1,667
67	778	1,000	564	1,812	1,851	1,775
68	843	1,082	614	1,908	1,928	1,890
69	915	1,165	675	2,007	2,008	2,009
70	1,001	1,267	747	2,107	2,086	2,130
71	1,103	1,390	830	2,202	2,158	2,248
72	1,213	1,520	920	2,287	2,219	2,359
73	1,330	1,657	1,016	2,357	2,264	2,457
74	1,451	1,798	1,120	2,412	2,292	2,540
75	1,581	1,945	1,234	2,452	2,303	2,609
76	1,723	2,098	1,367	2,478	2,297	2,665
77	1,887	2,264	1,530	2,486	2,275	2,706
78	2,077	2,454	1,721	2,480	2,237	2,734
79	2,304	2,688	1,942	2,456	2,179	2,741
80	2,556	2,944	2,199	2,409	2,099	2,724
81	2,833	3,203	2,502	2,334	1,995	2,675
82	3,126	3,461	2,833	2,229	1,866	2,590
83	3,428	3,729	3,173	2,095	1,717	2,468
84	3,737	3,997	3,525	1,936	1,555	2,311
85	4,043	4,243	3,891	1,760	1,386	2,126
86	4,317	4,433	4,251	1,572	1,215	1,920
87	4,540	4,546	4,583	1,379	1,047	1,704
88	4,719	4,592	4,893	1,187	883	1,485
89	4,807	4,533	5,119	1,001	726	1,272
90	4,760	4,340	5,203	826	579	1,071
91	4,597	4,049	5,153	666	446	886
92	4,339	3,686	4,983	523	330	718
93	4,011	3,273	4,724	401	236	568
94	3,618	2,815	4,374	298.6	162.8	438
95	3,170	2,344	3,932	216	107.8	326
96	2,686	1,888	3,411	153	68.4	233.8
97	2,193	1,460	2,845	106.6	41.5	161.3
98	1,719	1,079	2,278	71.1	24.3	106.9
99	1,295	766	1,749	43.2	13.7	68.3
100	798	318	1,193	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 Italy 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
• Italy vs South Sudan: Statistical Comparison

By topic vs comparisons:

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