Life Expectancy in Peru vs South Sudan (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 Peru vs South Sudan: 80.3 years vs 69.1 at 30, 84.6 vs 78 at 65, 89.7 vs 85.6 at 80 — significantly higher than the 78.3 vs 58 years calculated at birth.

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

Table

Current age, years	Total life expectancy, years
	Peru			South Sudan
	Average	Male	Female	Average	Male	Female
0	78.3	76	80.6	58	55	61
1	79.1	76.9	81.3	61.8	58.9	64.7
2	79.1	76.9	81.3	62.5	59.5	65.5
3	79.2	77	81.4	63.1	60.1	66.1
4	79.2	77	81.4	63.6	60.6	66.6
5	79.3	77.1	81.5	64	61.1	67
6	79.3	77.1	81.5	64.4	61.5	67.3
7	79.3	77.1	81.5	64.7	61.8	67.6
8	79.3	77.1	81.5	65	62.1	67.8
9	79.3	77.2	81.5	65.2	62.4	68
10	79.4	77.2	81.6	65.4	62.6	68.2
11	79.4	77.2	81.6	65.5	62.8	68.3
12	79.4	77.2	81.6	65.7	62.9	68.4
13	79.4	77.3	81.6	65.8	63.1	68.5
14	79.4	77.3	81.6	66	63.2	68.7
15	79.5	77.3	81.7	66.1	63.4	68.8
16	79.5	77.3	81.7	66.3	63.5	68.9
17	79.5	77.4	81.7	66.4	63.7	69
18	79.6	77.4	81.8	66.6	63.9	69.2
19	79.6	77.5	81.8	66.8	64.1	69.3
20	79.7	77.5	81.8	67	64.4	69.5
21	79.7	77.6	81.8	67.2	64.6	69.6
22	79.8	77.7	81.9	67.4	64.9	69.8
23	79.8	77.8	81.9	67.6	65.1	70
24	79.9	77.8	81.9	67.8	65.4	70.1
25	80	77.9	82	68	65.7	70.3
26	80	78	82	68.3	65.9	70.4
27	80.1	78.1	82.1	68.5	66.2	70.6
28	80.1	78.2	82.1	68.7	66.5	70.8
29	80.2	78.3	82.1	68.9	66.7	71
30	80.3	78.3	82.2	69.1	67	71.1
31	80.3	78.4	82.2	69.3	67.2	71.3
32	80.4	78.5	82.3	69.5	67.4	71.5
33	80.4	78.6	82.3	69.8	67.7	71.7
34	80.5	78.7	82.4	70	67.9	71.8
35	80.6	78.8	82.4	70.2	68.2	72
36	80.7	78.9	82.4	70.4	68.4	72.2
37	80.7	78.9	82.5	70.6	68.6	72.4
38	80.8	79	82.5	70.8	68.9	72.5
39	80.9	79.1	82.6	71	69.1	72.7
40	80.9	79.2	82.7	71.2	69.4	72.9
41	81	79.3	82.7	71.5	69.6	73.1
42	81.1	79.4	82.8	71.7	69.9	73.3
43	81.2	79.5	82.9	71.9	70.1	73.5
44	81.3	79.6	82.9	72.1	70.4	73.7
45	81.4	79.7	83	72.4	70.6	73.9
46	81.5	79.8	83.1	72.6	70.9	74.1
47	81.6	80	83.2	72.8	71.2	74.3
48	81.7	80.1	83.3	73	71.4	74.4
49	81.8	80.2	83.4	73.3	71.7	74.6
50	81.9	80.3	83.5	73.5	72	74.8
51	82	80.5	83.6	73.8	72.3	75.1
52	82.2	80.6	83.7	74	72.6	75.3
53	82.3	80.8	83.8	74.3	72.9	75.5
54	82.5	80.9	83.9	74.5	73.2	75.7
55	82.6	81.1	84.1	74.8	73.5	76
56	82.8	81.3	84.2	75.1	73.8	76.2
57	82.9	81.5	84.4	75.4	74.1	76.4
58	83.1	81.7	84.5	75.7	74.5	76.7
59	83.3	81.9	84.7	76	74.8	76.9
60	83.5	82.1	84.9	76.3	75.1	77.2
61	83.7	82.3	85	76.6	75.5	77.5
62	83.9	82.6	85.2	76.9	75.9	77.8
63	84.2	82.8	85.4	77.3	76.3	78.1
64	84.4	83.1	85.6	77.6	76.7	78.4
65	84.6	83.3	85.8	78	77.1	78.7
66	84.9	83.6	86.1	78.4	77.5	79.1
67	85.1	83.8	86.3	78.8	77.9	79.5
68	85.4	84.1	86.5	79.2	78.4	79.8
69	85.7	84.4	86.8	79.7	78.9	80.2
70	85.9	84.7	87.1	80.1	79.3	80.7
71	86.2	85	87.3	80.6	79.8	81.1
72	86.6	85.4	87.6	81.1	80.4	81.6
73	86.9	85.7	88	81.6	80.9	82.1
74	87.3	86.1	88.3	82.1	81.5	82.6
75	87.6	86.5	88.6	82.6	82	83.1
76	88	86.9	89	83.2	82.6	83.6
77	88.4	87.3	89.3	83.8	83.2	84.2
78	88.8	87.8	89.7	84.4	83.8	84.7
79	89.3	88.2	90.1	85	84.5	85.3
80	89.7	88.7	90.5	85.6	85.1	85.9
81	90.2	89.2	91	86.3	85.8	86.6
82	90.7	89.7	91.4	87	86.5	87.2
83	91.2	90.3	91.9	87.7	87.2	87.9
84	91.7	90.8	92.4	88.4	87.9	88.6
85	92.2	91.4	92.9	89.1	88.7	89.4
86	92.8	92	93.4	89.9	89.4	90.1
87	93.4	92.6	94	90.6	90.2	90.8
88	94	93.2	94.5	91.4	91	91.6
89	94.6	93.9	95.1	92.2	91.8	92.4
90	95.3	94.6	95.7	93	92.6	93.2
91	95.9	95.3	96.3	93.8	93.4	94
92	96.6	96	97	94.7	94.2	94.8
93	97.3	96.7	97.7	95.5	95.1	95.6
94	98.1	97.5	98.4	96.3	96	96.4
95	98.8	98.3	99.1	97.2	96.9	97.3
96	99.6	99	99.8	98.1	97.8	98.1
97	100.4	99.9	100.6	98.9	98.7	99
98	101.2	100.7	101.3	99.8	99.6	99.9
99	102	101.6	102.2	100.7	100.6	100.8
100	102.8	102.4	103	101.7	101.6	101.8

Odds of living to age in Peru vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 87.8% in Peru and 61.1% in South Sudan are expected to survive till at least 60 years old, 77.3% and 45.1% will live to 70 years or older, 56.8% and 21.3% to 80+ years, and 25.6% and 3.37% 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
	Peru			South Sudan
	Average	Male	Female	Average	Male	Female
1	99%	98.9%	99.2%	93.8%	93.3%	94.2%
2	99%	98.8%	99.1%	92.7%	92.3%	93.1%
3	98.9%	98.8%	99%	91.8%	91.4%	92.2%
4	98.8%	98.7%	99%	91%	90.6%	91.5%
5	98.8%	98.6%	98.9%	90.3%	89.8%	90.9%
6	98.7%	98.6%	98.9%	89.8%	89.2%	90.4%
7	98.7%	98.6%	98.9%	89.3%	88.6%	90%
8	98.7%	98.5%	98.9%	88.9%	88.2%	89.7%
9	98.7%	98.5%	98.8%	88.6%	87.8%	89.4%
10	98.6%	98.5%	98.8%	88.3%	87.4%	89.1%
11	98.6%	98.4%	98.8%	88%	87.1%	88.9%
12	98.6%	98.4%	98.8%	87.8%	86.8%	88.7%
13	98.5%	98.4%	98.7%	87.5%	86.6%	88.5%
14	98.5%	98.3%	98.7%	87.3%	86.3%	88.4%
15	98.5%	98.3%	98.7%	87.1%	86%	88.2%
16	98.4%	98.2%	98.6%	86.8%	85.7%	87.9%
17	98.4%	98.2%	98.6%	86.5%	85.4%	87.7%
18	98.3%	98.1%	98.5%	86.2%	85.1%	87.5%
19	98.2%	98%	98.5%	85.9%	84.7%	87.2%
20	98.2%	97.9%	98.4%	85.6%	84.2%	87%
21	98.1%	97.8%	98.4%	85.2%	83.7%	86.7%
22	98%	97.6%	98.3%	84.8%	83.2%	86.4%
23	97.9%	97.5%	98.3%	84.4%	82.7%	86.1%
24	97.8%	97.4%	98.2%	84%	82.2%	85.8%
25	97.7%	97.2%	98.2%	83.5%	81.6%	85.5%
26	97.6%	97.1%	98.1%	83.1%	81.1%	85.2%
27	97.5%	96.9%	98%	82.7%	80.6%	84.9%
28	97.3%	96.7%	98%	82.2%	80.1%	84.5%
29	97.2%	96.6%	97.9%	81.8%	79.5%	84.2%
30	97.1%	96.4%	97.8%	81.4%	79%	83.8%
31	97%	96.3%	97.7%	80.9%	78.5%	83.5%
32	96.9%	96.1%	97.6%	80.5%	77.9%	83.1%
33	96.7%	95.9%	97.6%	80%	77.4%	82.7%
34	96.6%	95.7%	97.5%	79.6%	76.9%	82.4%
35	96.5%	95.5%	97.4%	79.1%	76.3%	82%
36	96.3%	95.3%	97.3%	78.6%	75.8%	81.6%
37	96.2%	95.1%	97.2%	78.1%	75.2%	81.2%
38	96%	94.9%	97.1%	77.6%	74.6%	80.8%
39	95.8%	94.7%	96.9%	77.1%	74%	80.3%
40	95.6%	94.5%	96.8%	76.6%	73.4%	79.9%
41	95.4%	94.2%	96.7%	76.1%	72.8%	79.4%
42	95.2%	94%	96.5%	75.5%	72.1%	78.9%
43	95%	93.7%	96.3%	74.9%	71.5%	78.4%
44	94.8%	93.5%	96.2%	74.3%	70.8%	77.9%
45	94.6%	93.2%	96%	73.7%	70.1%	77.4%
46	94.3%	92.9%	95.8%	73.1%	69.4%	76.9%
47	94%	92.6%	95.5%	72.5%	68.6%	76.4%
48	93.7%	92.2%	95.3%	71.8%	67.9%	75.8%
49	93.4%	91.9%	95%	71.1%	67.1%	75.3%
50	93.1%	91.5%	94.7%	70.4%	66.3%	74.7%
51	92.7%	91.1%	94.4%	69.7%	65.4%	74%
52	92.3%	90.6%	94.1%	68.9%	64.5%	73.4%
53	91.9%	90.1%	93.7%	68%	63.5%	72.7%
54	91.4%	89.6%	93.3%	67.2%	62.5%	71.9%
55	90.9%	89%	92.9%	66.3%	61.5%	71.1%
56	90.4%	88.4%	92.4%	65.3%	60.4%	70.3%
57	89.8%	87.7%	91.9%	64.4%	59.3%	69.5%
58	89.2%	87%	91.4%	63.3%	58.2%	68.6%
59	88.5%	86.2%	90.8%	62.3%	57%	67.6%
60	87.8%	85.4%	90.2%	61.1%	55.7%	66.6%
61	87%	84.5%	89.5%	59.9%	54.4%	65.5%
62	86.2%	83.6%	88.8%	58.6%	53%	64.3%
63	85.3%	82.6%	88.1%	57.3%	51.5%	63.1%
64	84.3%	81.5%	87.3%	55.8%	49.9%	61.7%
65	83.4%	80.4%	86.4%	54.2%	48.3%	60.2%
66	82.3%	79.2%	85.5%	52.6%	46.6%	58.7%
67	81.2%	78%	84.5%	50.9%	44.8%	57%
68	80%	76.7%	83.4%	49.1%	42.9%	55.2%
69	78.7%	75.3%	82.2%	47.1%	41%	53.3%
70	77.3%	73.7%	81%	45.1%	39%	51.3%
71	75.8%	72.1%	79.6%	43%	36.9%	49.2%
72	74.2%	70.4%	78.2%	40.8%	34.7%	46.9%
73	72.5%	68.5%	76.6%	38.5%	32.5%	44.6%
74	70.6%	66.4%	74.9%	36.2%	30.2%	42.1%
75	68.7%	64.2%	73.1%	33.7%	27.9%	39.6%
76	66.5%	61.9%	71.2%	31.3%	25.6%	36.9%
77	64.3%	59.5%	69.2%	28.8%	23.3%	34.3%
78	61.9%	57%	67%	26.3%	21%	31.6%
79	59.5%	54.3%	64.7%	23.8%	18.8%	28.8%
80	56.8%	51.5%	62.2%	21.3%	16.6%	26.1%
81	54.1%	48.6%	59.6%	18.9%	14.5%	23.3%
82	51.2%	45.5%	56.9%	16.6%	12.5%	20.6%
83	48.2%	42.4%	54.1%	14.4%	10.6%	18%
84	45.1%	39.2%	51.1%	12.3%	8.88%	15.6%
85	41.9%	35.9%	48%	10.3%	7.31%	13.2%
86	38.7%	32.6%	44.9%	8.54%	5.92%	11.1%
87	35.4%	29.3%	41.6%	6.96%	4.7%	9.18%
88	32.1%	26%	38.2%	5.58%	3.65%	7.47%
89	28.8%	22.9%	34.9%	4.38%	2.76%	5.98%
90	25.6%	19.8%	31.5%	3.37%	2.03%	4.7%
91	22.5%	16.9%	28.1%	2.54%	1.45%	3.62%
92	19.4%	14.2%	24.8%	1.87%	1%	2.73%
93	16.6%	11.7%	21.5%	1.35%	0.67%	2.01%
94	13.9%	9.49%	18.5%	0.94%	0.44%	1.44%
95	11.5%	7.52%	15.6%	0.64%	0.27%	1%
96	9.34%	5.83%	12.9%	0.43%	0.16%	0.67%
97	7.44%	4.42%	10.5%	0.27%	0.1%	0.44%
98	5.8%	3.27%	8.37%	0.17%	0.05%	0.28%
99	4.42%	2.35%	6.53%	0.1%	0.03%	0.17%
100	3.3%	1.65%	4.97%	0.06%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.96% in the birth year in Peru and 6.22% in South Sudan, 0.13% vs 0.55% at age 30, 0.89% vs 1.98% at 60, and 4.84% vs 11.3% at 80.

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

Table

Age	Probability of dying
	Peru			South Sudan
	Average	Male	Female	Average	Male	Female
0	0.96%	1.09%	0.82%	6.22%	6.67%	5.75%
1	0.09%	0.09%	0.09%	1.16%	1.1%	1.22%
2	0.07%	0.07%	0.07%	0.99%	0.99%	0.98%
3	0.06%	0.06%	0.05%	0.85%	0.9%	0.8%
4	0.05%	0.05%	0.04%	0.73%	0.8%	0.65%
5	0.04%	0.04%	0.03%	0.62%	0.71%	0.53%
6	0.03%	0.04%	0.03%	0.53%	0.63%	0.43%
7	0.03%	0.03%	0.03%	0.45%	0.54%	0.36%
8	0.03%	0.03%	0.02%	0.39%	0.47%	0.31%
9	0.03%	0.03%	0.02%	0.34%	0.4%	0.27%
10	0.03%	0.03%	0.02%	0.3%	0.35%	0.24%
11	0.03%	0.03%	0.02%	0.27%	0.32%	0.22%
12	0.03%	0.03%	0.03%	0.26%	0.3%	0.22%
13	0.03%	0.04%	0.03%	0.26%	0.3%	0.22%
14	0.04%	0.05%	0.04%	0.27%	0.31%	0.22%
15	0.05%	0.06%	0.04%	0.29%	0.34%	0.24%
16	0.06%	0.07%	0.04%	0.32%	0.37%	0.26%
17	0.06%	0.08%	0.05%	0.35%	0.42%	0.27%
18	0.07%	0.1%	0.05%	0.38%	0.47%	0.29%
19	0.08%	0.11%	0.05%	0.41%	0.52%	0.3%
20	0.09%	0.12%	0.05%	0.44%	0.57%	0.32%
21	0.09%	0.13%	0.05%	0.47%	0.61%	0.33%
22	0.1%	0.14%	0.05%	0.49%	0.63%	0.34%
23	0.1%	0.15%	0.06%	0.5%	0.65%	0.35%
24	0.11%	0.15%	0.06%	0.51%	0.65%	0.36%
25	0.11%	0.16%	0.06%	0.51%	0.65%	0.37%
26	0.11%	0.16%	0.07%	0.52%	0.65%	0.38%
27	0.12%	0.16%	0.07%	0.52%	0.65%	0.39%
28	0.12%	0.17%	0.08%	0.53%	0.65%	0.41%
29	0.12%	0.17%	0.08%	0.54%	0.66%	0.42%
30	0.13%	0.17%	0.08%	0.55%	0.67%	0.43%
31	0.13%	0.18%	0.08%	0.56%	0.68%	0.44%
32	0.13%	0.18%	0.09%	0.57%	0.69%	0.45%
33	0.14%	0.19%	0.09%	0.58%	0.7%	0.46%
34	0.14%	0.2%	0.1%	0.59%	0.71%	0.47%
35	0.15%	0.2%	0.1%	0.6%	0.73%	0.48%
36	0.16%	0.21%	0.11%	0.61%	0.74%	0.49%
37	0.17%	0.22%	0.12%	0.63%	0.76%	0.51%
38	0.18%	0.23%	0.12%	0.65%	0.79%	0.53%
39	0.19%	0.24%	0.13%	0.68%	0.82%	0.56%
40	0.2%	0.25%	0.15%	0.71%	0.85%	0.58%
41	0.21%	0.26%	0.16%	0.74%	0.89%	0.61%
42	0.22%	0.28%	0.17%	0.77%	0.92%	0.63%
43	0.24%	0.29%	0.19%	0.79%	0.96%	0.64%
44	0.25%	0.3%	0.2%	0.81%	0.99%	0.66%
45	0.27%	0.32%	0.22%	0.84%	1.02%	0.67%
46	0.29%	0.34%	0.24%	0.86%	1.06%	0.69%
47	0.31%	0.36%	0.26%	0.9%	1.11%	0.71%
48	0.34%	0.39%	0.28%	0.95%	1.17%	0.75%
49	0.36%	0.42%	0.31%	1%	1.24%	0.79%
50	0.39%	0.46%	0.33%	1.07%	1.32%	0.85%
51	0.43%	0.5%	0.36%	1.14%	1.41%	0.91%
52	0.46%	0.54%	0.39%	1.21%	1.49%	0.97%
53	0.5%	0.59%	0.42%	1.28%	1.57%	1.03%
54	0.55%	0.64%	0.45%	1.35%	1.65%	1.09%
55	0.59%	0.69%	0.49%	1.42%	1.73%	1.15%
56	0.65%	0.75%	0.54%	1.49%	1.82%	1.21%
57	0.7%	0.82%	0.58%	1.58%	1.93%	1.29%
58	0.76%	0.89%	0.63%	1.69%	2.06%	1.39%
59	0.82%	0.97%	0.68%	1.82%	2.21%	1.5%
60	0.89%	1.04%	0.74%	1.98%	2.39%	1.64%
61	0.96%	1.12%	0.79%	2.16%	2.59%	1.8%
62	1.03%	1.2%	0.85%	2.35%	2.81%	1.97%
63	1.1%	1.28%	0.92%	2.56%	3.04%	2.17%
64	1.18%	1.37%	0.99%	2.78%	3.28%	2.37%
65	1.26%	1.46%	1.08%	3.02%	3.54%	2.6%
66	1.36%	1.56%	1.17%	3.28%	3.83%	2.84%
67	1.47%	1.68%	1.28%	3.57%	4.14%	3.12%
68	1.61%	1.83%	1.39%	3.9%	4.5%	3.43%
69	1.76%	2.01%	1.52%	4.26%	4.91%	3.77%
70	1.93%	2.21%	1.67%	4.68%	5.37%	4.16%
71	2.12%	2.44%	1.82%	5.13%	5.87%	4.58%
72	2.33%	2.7%	2%	5.62%	6.41%	5.03%
73	2.56%	2.97%	2.19%	6.14%	6.99%	5.52%
74	2.8%	3.27%	2.4%	6.69%	7.61%	6.05%
75	3.07%	3.58%	2.62%	7.29%	8.28%	6.61%
76	3.36%	3.92%	2.88%	7.94%	9%	7.23%
77	3.68%	4.29%	3.15%	8.67%	9.8%	7.92%
78	4.03%	4.7%	3.46%	9.47%	10.7%	8.69%
79	4.41%	5.16%	3.79%	10.4%	11.7%	9.54%
80	4.84%	5.67%	4.16%	11.3%	12.7%	10.5%
81	5.32%	6.24%	4.56%	12.4%	13.8%	11.5%
82	5.84%	6.88%	5%	13.5%	15%	12.6%
83	6.42%	7.59%	5.48%	14.6%	16.3%	13.7%
84	7.05%	8.36%	6.02%	15.9%	17.6%	14.9%
85	7.74%	9.21%	6.61%	17.1%	19%	16.1%
86	8.5%	10.1%	7.28%	18.5%	20.6%	17.4%
87	9.33%	11.1%	8.02%	19.9%	22.4%	18.6%
88	10.2%	12.2%	8.84%	21.4%	24.3%	20%
89	11.2%	13.4%	9.75%	23%	26.4%	21.4%
90	12.3%	14.6%	10.7%	24.6%	28.6%	22.9%
91	13.4%	16%	11.8%	26.3%	30.8%	24.6%
92	14.7%	17.5%	13%	28.1%	33%	26.4%
93	16%	19.1%	14.3%	30%	35.2%	28.4%
94	17.4%	20.7%	15.7%	31.9%	37.5%	30.6%
95	18.8%	22.4%	17.1%	33.8%	39.8%	32.8%
96	20.4%	24.2%	18.6%	35.6%	41.9%	35%
97	22%	26.1%	20.3%	37.7%	43.8%	37.1%
98	23.7%	28%	22%	40.5%	45.5%	39.1%
99	25.5%	30%	23.8%	43.7%	47.1%	41%
100	27.1%	31.9%	25.4%	45.7%	49.1%	43.1%

Death rate by age in Peru compared to South Sudan

In Peru, the most common age of death is 87, compared to 0 in South Sudan. The median age of death is 82.4 in Peru and 67.5 in South Sudan — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Peru			South Sudan
	Total	Male	Female	Total	Male	Female
0	955	1,086	819	6,215	6,667	5,754
1	86.7	88.7	84.5	1,086	1,027	1,147
2	69.4	73.1	65.5	915	916	915
3	56.3	61	51.4	776	818	733
4	46.4	51.5	41	660	727	591
5	38.9	44.1	33.5	561	641	479
6	33.5	38.4	28.3	477	558	393
7	29.8	34.4	25.2	404	480	326
8	27.7	31.7	23.5	344	411	275.7
9	26.7	30.2	23	296.8	353	238.8
10	26.7	29.9	23.3	262	309	213.5
11	27.8	30.9	24.6	239.4	279	198.2
12	30.4	33.7	27	227.9	262.8	191.3
13	34.4	38.3	30.4	226.8	260.1	192
14	39.9	45.1	34.6	235.1	270	198.7
15	47	54.3	39.3	251.3	290.8	210.1
16	55.1	65.9	44	273.6	321	224.4
17	63.9	79.3	48	299.3	357	239.3
18	72.4	93.3	50.7	327	397	253.5
19	80	106.9	52.1	354	439	265.4
20	86.3	118.9	52.7	379	478	275.1
21	91.6	129	53.1	398	508	283.3
22	96.1	137.1	53.9	412	527	290.7
23	100.1	143.4	55.7	420	535	298.4
24	103.7	148.2	58.5	424	536	307
25	107.3	151.9	62.2	427	532	316
26	110.7	154.8	66.4	429	527	325
27	114	157.5	70.6	432	523	335
28	117	160.1	74.3	436	522	344
29	119.9	162.9	77.5	440	523	352
30	122.7	166.1	80.1	446	527	359
31	125.8	170	82.6	451	533	366
32	129.5	174.8	85.4	456	538	372
33	134.1	180.5	88.9	461	544	377
34	139.8	187.2	93.4	466	549	384
35	146.4	194.8	98.9	473	555	392
36	153.8	202.9	105.4	481	563	402
37	162	211.6	112.9	493	575	415
38	170.8	220.7	121.3	508	590	431
39	180.2	230.1	130.5	526	608	449
40	190.3	239.8	140.9	545	628	467
41	201	249.7	152.2	564	648	483
42	212.7	260.3	165	580	667	496
43	225.7	271.7	179.3	593	685	506
44	240.1	284.6	195.3	604	700	512
45	256.3	299.3	212.8	616	717	519
46	274.1	316	231.3	631	737	528
47	293.9	336	250.6	651	762	543
48	316	359	270.6	679	794	566
49	340	386	291.4	713	832	596
50	366	417	313	753	875	633
51	395	451	337	795	919	672
52	427	488	362	835	961	711
53	461	528	391	872	999	748
54	499	571	422	906	1,033	782
55	540	618	457	939	1,066	816
56	583	667	495	976	1,102	853
57	630	720	535	1,018	1,145	896
58	679	775	577	1,072	1,197	950
59	730	833	620	1,136	1,260	1,015
60	781	892	663	1,210	1,332	1,092
61	832	950	709	1,292	1,409	1,178
62	885	1,006	758	1,378	1,488	1,270
63	938	1,061	810	1,465	1,565	1,366
64	993	1,115	868	1,551	1,639	1,464
65	1,053	1,172	932	1,636	1,710	1,565
66	1,121	1,237	1,002	1,724	1,782	1,668
67	1,197	1,314	1,080	1,815	1,855	1,777
68	1,284	1,405	1,163	1,911	1,933	1,891
69	1,382	1,511	1,253	2,011	2,013	2,011
70	1,489	1,631	1,349	2,111	2,091	2,133
71	1,607	1,763	1,453	2,207	2,164	2,252
72	1,730	1,900	1,563	2,292	2,226	2,363
73	1,855	2,036	1,678	2,364	2,272	2,461
74	1,981	2,170	1,797	2,419	2,300	2,546
75	2,106	2,299	1,920	2,459	2,311	2,615
76	2,235	2,427	2,049	2,485	2,305	2,672
77	2,365	2,554	2,181	2,497	2,284	2,714
78	2,495	2,679	2,315	2,490	2,246	2,742
79	2,624	2,801	2,451	2,465	2,188	2,750
80	2,751	2,918	2,586	2,417	2,108	2,734
81	2,875	3,032	2,718	2,342	2,003	2,685
82	2,991	3,134	2,844	2,237	1,874	2,600
83	3,094	3,218	2,964	2,103	1,725	2,478
84	3,181	3,277	3,076	1,944	1,562	2,321
85	3,247	3,307	3,177	1,767	1,392	2,135
86	3,290	3,303	3,266	1,579	1,221	1,929
87	3,303	3,261	3,336	1,386	1,052	1,712
88	3,283	3,179	3,380	1,193	887	1,492
89	3,228	3,053	3,400	1,007	729	1,279
90	3,136	2,892	3,381	831	582	1,077
91	3,008	2,704	3,316	670	447	890
92	2,851	2,487	3,223	527	331	722
93	2,657	2,239	3,086	404	237	571
94	2,426	1,968	2,897	301	163.5	440
95	2,168	1,686	2,662	217.2	108.2	328
96	1,903	1,412	2,404	151.7	68.7	235
97	1,637	1,153	2,129	103.4	41.7	162.1
98	1,377	916	1,843	69.1	24.4	107.5
99	1,128	706	1,555	44.4	13.7	68.6
100	861	438	1,286	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 Peru 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
• Peru vs South Sudan: Facts and Figures

By topic vs comparisons:

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