Life Expectancy in Pakistan 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 Pakistan vs South Sudan: 73.4 years vs 69.1 at 30, 78.9 vs 78 at 65, 85.8 vs 85.6 at 80 — significantly higher than the 67.9 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 Pakistan and South Sudan.

Table

Current age, years	Total life expectancy, years
	Pakistan			South Sudan
	Average	Male	Female	Average	Male	Female
0	67.9	65.6	70.5	57.9	54.9	60.9
1	71.3	69.1	73.6	61.7	58.8	64.6
2	71.6	69.4	73.9	62.4	59.4	65.4
3	71.8	69.6	74.1	63	60	66
4	71.9	69.7	74.2	63.5	60.5	66.5
5	72	69.8	74.3	64	61	66.9
6	72.1	69.9	74.4	64.3	61.4	67.3
7	72.1	70	74.4	64.7	61.7	67.5
8	72.2	70	74.4	64.9	62	67.8
9	72.2	70.1	74.5	65.1	62.3	67.9
10	72.2	70.1	74.5	65.3	62.5	68.1
11	72.3	70.2	74.5	65.5	62.7	68.2
12	72.3	70.2	74.5	65.6	62.9	68.4
13	72.3	70.2	74.5	65.8	63	68.5
14	72.4	70.3	74.6	65.9	63.2	68.6
15	72.4	70.3	74.6	66.1	63.3	68.7
16	72.4	70.4	74.6	66.2	63.5	68.9
17	72.5	70.5	74.7	66.4	63.7	69
18	72.5	70.5	74.7	66.5	63.9	69.1
19	72.6	70.6	74.7	66.7	64.1	69.3
20	72.7	70.7	74.8	66.9	64.3	69.4
21	72.7	70.8	74.8	67.1	64.6	69.6
22	72.8	70.9	74.9	67.3	64.8	69.8
23	72.9	71	74.9	67.6	65.1	69.9
24	73	71	75	67.8	65.4	70.1
25	73	71.1	75	68	65.6	70.2
26	73.1	71.2	75.1	68.2	65.9	70.4
27	73.2	71.3	75.1	68.4	66.2	70.6
28	73.2	71.4	75.2	68.7	66.4	70.7
29	73.3	71.5	75.2	68.9	66.7	70.9
30	73.4	71.6	75.3	69.1	66.9	71.1
31	73.4	71.6	75.4	69.3	67.2	71.3
32	73.5	71.7	75.4	69.5	67.4	71.4
33	73.6	71.8	75.5	69.7	67.7	71.6
34	73.7	71.9	75.5	69.9	67.9	71.8
35	73.7	72	75.6	70.1	68.1	72
36	73.8	72.1	75.7	70.4	68.4	72.2
37	73.9	72.1	75.7	70.6	68.6	72.3
38	74	72.2	75.8	70.8	68.9	72.5
39	74.1	72.3	75.9	71	69.1	72.7
40	74.1	72.4	75.9	71.2	69.3	72.9
41	74.2	72.5	76	71.4	69.6	73.1
42	74.3	72.7	76.1	71.6	69.9	73.3
43	74.4	72.8	76.2	71.9	70.1	73.5
44	74.6	72.9	76.3	72.1	70.4	73.7
45	74.7	73	76.4	72.3	70.6	73.8
46	74.8	73.2	76.5	72.6	70.9	74
47	74.9	73.3	76.6	72.8	71.2	74.2
48	75.1	73.5	76.7	73	71.4	74.4
49	75.2	73.6	76.8	73.3	71.7	74.6
50	75.3	73.8	76.9	73.5	72	74.8
51	75.5	74	77.1	73.7	72.3	75
52	75.7	74.2	77.2	74	72.6	75.2
53	75.9	74.4	77.4	74.3	72.9	75.5
54	76	74.6	77.5	74.5	73.2	75.7
55	76.2	74.8	77.7	74.8	73.5	75.9
56	76.4	75.1	77.8	75.1	73.8	76.2
57	76.7	75.3	78	75.4	74.1	76.4
58	76.9	75.6	78.2	75.7	74.5	76.7
59	77.1	75.9	78.4	76	74.8	76.9
60	77.4	76.2	78.6	76.3	75.1	77.2
61	77.7	76.5	78.8	76.6	75.5	77.5
62	77.9	76.8	79	76.9	75.9	77.8
63	78.2	77.1	79.3	77.3	76.3	78.1
64	78.5	77.5	79.5	77.6	76.7	78.4
65	78.9	77.9	79.8	78	77.1	78.7
66	79.2	78.2	80.1	78.4	77.5	79.1
67	79.5	78.6	80.4	78.8	77.9	79.5
68	79.9	79.1	80.7	79.2	78.4	79.8
69	80.3	79.5	81	79.6	78.9	80.2
70	80.7	79.9	81.4	80.1	79.3	80.7
71	81.1	80.4	81.8	80.6	79.8	81.1
72	81.6	80.9	82.2	81.1	80.4	81.6
73	82	81.4	82.6	81.6	80.9	82
74	82.5	81.9	83	82.1	81.5	82.5
75	83	82.5	83.5	82.6	82	83.1
76	83.5	83	84	83.2	82.6	83.6
77	84	83.6	84.5	83.8	83.2	84.2
78	84.6	84.2	85	84.4	83.8	84.7
79	85.2	84.8	85.5	85	84.5	85.3
80	85.8	85.4	86.1	85.6	85.1	85.9
81	86.4	86.1	86.7	86.3	85.8	86.6
82	87.1	86.7	87.3	87	86.5	87.2
83	87.7	87.4	88	87.7	87.2	87.9
84	88.4	88.1	88.7	88.4	87.9	88.6
85	89.1	88.9	89.4	89.1	88.7	89.4
86	89.9	89.6	90.1	89.9	89.4	90.1
87	90.6	90.3	90.8	90.6	90.2	90.8
88	91.4	91.1	91.6	91.4	91	91.6
89	92.1	91.9	92.3	92.2	91.8	92.4
90	92.9	92.7	93.1	93	92.6	93.2
91	93.7	93.5	93.9	93.8	93.4	94
92	94.5	94.3	94.7	94.7	94.2	94.8
93	95.4	95.2	95.5	95.5	95.1	95.6
94	96.2	96.1	96.3	96.3	96	96.4
95	97.1	97	97.2	97.2	96.9	97.3
96	98	97.9	98	98	97.8	98.1
97	98.9	98.8	98.9	98.9	98.7	99
98	99.8	99.7	99.8	99.8	99.6	99.9
99	100.7	100.6	100.8	100.7	100.6	100.8
100	101.7	101.6	101.7	101.7	101.6	101.8

Odds of living to age in Pakistan vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 78.3% in Pakistan and 61% in South Sudan are expected to survive till at least 60 years old, 61.2% and 45% will live to 70 years or older, 31.5% and 21.3% to 80+ years, and 5.25% 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
	Pakistan			South Sudan
	Average	Male	Female	Average	Male	Female
1	95.3%	94.8%	95.7%	93.7%	93.3%	94.2%
2	94.9%	94.5%	95.3%	92.6%	92.3%	93%
3	94.6%	94.2%	95%	91.7%	91.3%	92.1%
4	94.4%	94%	94.9%	90.9%	90.5%	91.4%
5	94.3%	93.9%	94.8%	90.3%	89.8%	90.8%
6	94.2%	93.7%	94.7%	89.7%	89.1%	90.3%
7	94.1%	93.6%	94.7%	89.2%	88.6%	89.9%
8	94.1%	93.6%	94.6%	88.8%	88.1%	89.6%
9	94%	93.5%	94.6%	88.5%	87.7%	89.3%
10	94%	93.4%	94.6%	88.2%	87.3%	89%
11	93.9%	93.4%	94.5%	87.9%	87%	88.8%
12	93.9%	93.3%	94.5%	87.7%	86.7%	88.6%
13	93.8%	93.2%	94.5%	87.4%	86.4%	88.4%
14	93.8%	93.2%	94.4%	87.2%	86.2%	88.2%
15	93.7%	93.1%	94.4%	87%	85.9%	88%
16	93.6%	93%	94.3%	86.7%	85.6%	87.8%
17	93.6%	92.9%	94.3%	86.4%	85.3%	87.6%
18	93.5%	92.8%	94.2%	86.1%	84.9%	87.4%
19	93.4%	92.6%	94.1%	85.8%	84.5%	87.1%
20	93.2%	92.5%	94.1%	85.4%	84.1%	86.8%
21	93.1%	92.3%	94%	85.1%	83.6%	86.6%
22	93%	92.1%	93.9%	84.7%	83.1%	86.3%
23	92.9%	92%	93.8%	84.2%	82.6%	86%
24	92.7%	91.8%	93.7%	83.8%	82%	85.7%
25	92.6%	91.6%	93.6%	83.4%	81.5%	85.4%
26	92.5%	91.4%	93.5%	83%	81%	85.1%
27	92.3%	91.3%	93.4%	82.5%	80.4%	84.7%
28	92.2%	91.1%	93.3%	82.1%	79.9%	84.4%
29	92%	90.9%	93.2%	81.7%	79.4%	84%
30	91.9%	90.7%	93.1%	81.2%	78.9%	83.7%
31	91.7%	90.6%	93%	80.8%	78.3%	83.3%
32	91.6%	90.4%	92.9%	80.3%	77.8%	83%
33	91.4%	90.2%	92.7%	79.9%	77.3%	82.6%
34	91.3%	90%	92.6%	79.4%	76.7%	82.2%
35	91.1%	89.8%	92.5%	78.9%	76.2%	81.8%
36	90.9%	89.6%	92.3%	78.5%	75.6%	81.4%
37	90.7%	89.3%	92.2%	78%	75%	81%
38	90.5%	89.1%	92%	77.5%	74.5%	80.6%
39	90.3%	88.8%	91.8%	77%	73.9%	80.2%
40	90.1%	88.6%	91.6%	76.5%	73.3%	79.7%
41	89.8%	88.3%	91.4%	75.9%	72.6%	79.3%
42	89.5%	88%	91.2%	75.3%	72%	78.8%
43	89.2%	87.6%	91%	74.8%	71.3%	78.3%
44	88.9%	87.3%	90.7%	74.2%	70.6%	77.8%
45	88.6%	86.9%	90.4%	73.6%	69.9%	77.3%
46	88.2%	86.4%	90.2%	72.9%	69.2%	76.7%
47	87.8%	85.9%	89.8%	72.3%	68.5%	76.2%
48	87.4%	85.4%	89.5%	71.7%	67.7%	75.7%
49	86.9%	84.9%	89.1%	71%	66.9%	75.1%
50	86.4%	84.3%	88.7%	70.3%	66.1%	74.5%
51	85.9%	83.6%	88.2%	69.5%	65.2%	73.9%
52	85.3%	82.9%	87.8%	68.7%	64.3%	73.2%
53	84.6%	82.1%	87.3%	67.9%	63.3%	72.5%
54	83.9%	81.3%	86.7%	67%	62.3%	71.7%
55	83.2%	80.4%	86.1%	66.1%	61.3%	70.9%
56	82.3%	79.4%	85.5%	65.2%	60.2%	70.1%
57	81.4%	78.3%	84.8%	64.2%	59.1%	69.3%
58	80.5%	77.1%	84%	63.2%	58%	68.4%
59	79.4%	75.9%	83.2%	62.1%	56.8%	67.4%
60	78.3%	74.5%	82.3%	61%	55.5%	66.4%
61	77.1%	73.1%	81.3%	59.7%	54.2%	65.3%
62	75.8%	71.6%	80.3%	58.5%	52.8%	64.1%
63	74.4%	69.9%	79.1%	57.1%	51.3%	62.9%
64	72.9%	68.1%	77.9%	55.6%	49.7%	61.5%
65	71.2%	66.3%	76.5%	54.1%	48.1%	60%
66	69.5%	64.3%	75%	52.4%	46.4%	58.5%
67	67.6%	62.2%	73.4%	50.7%	44.6%	56.8%
68	65.6%	59.9%	71.7%	48.9%	42.8%	55%
69	63.5%	57.6%	69.7%	47%	40.8%	53.1%
70	61.2%	55.1%	67.6%	45%	38.8%	51.1%
71	58.7%	52.5%	65.4%	42.9%	36.7%	49%
72	56.2%	49.8%	63%	40.7%	34.6%	46.8%
73	53.5%	47%	60.4%	38.4%	32.4%	44.4%
74	50.6%	44.1%	57.6%	36%	30.1%	41.9%
75	47.6%	41.1%	54.7%	33.6%	27.8%	39.4%
76	44.6%	38.1%	51.6%	31.2%	25.5%	36.8%
77	41.4%	35%	48.3%	28.7%	23.2%	34.1%
78	38.2%	31.9%	44.9%	26.2%	20.9%	31.4%
79	34.8%	28.8%	41.4%	23.7%	18.7%	28.7%
80	31.5%	25.7%	37.8%	21.3%	16.5%	26%
81	28.2%	22.7%	34.2%	18.9%	14.4%	23.2%
82	24.9%	19.8%	30.5%	16.5%	12.4%	20.6%
83	21.7%	17%	26.9%	14.3%	10.6%	18%
84	18.7%	14.5%	23.4%	12.2%	8.84%	15.5%
85	15.8%	12.1%	20%	10.3%	7.28%	13.2%
86	13.2%	9.91%	16.9%	8.5%	5.9%	11.1%
87	10.8%	7.98%	14%	6.93%	4.68%	9.14%
88	8.67%	6.29%	11.4%	5.55%	3.63%	7.43%
89	6.82%	4.83%	9.12%	4.36%	2.75%	5.95%
90	5.25%	3.61%	7.16%	3.36%	2.02%	4.68%
91	3.94%	2.62%	5.5%	2.53%	1.45%	3.6%
92	2.88%	1.84%	4.12%	1.87%	1%	2.72%
93	2.04%	1.25%	3%	1.34%	0.67%	2%
94	1.41%	0.83%	2.12%	0.94%	0.43%	1.43%
95	0.94%	0.53%	1.44%	0.64%	0.27%	0.99%
96	0.6%	0.33%	0.95%	0.43%	0.16%	0.67%
97	0.38%	0.2%	0.6%	0.28%	0.09%	0.43%
98	0.23%	0.11%	0.37%	0.17%	0.05%	0.27%
99	0.13%	0.06%	0.22%	0.1%	0.03%	0.17%
100	0.07%	0.04%	0.12%	0.05%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 4.74% in the birth year in Pakistan and 6.27% in South Sudan, 0.16% vs 0.55% at age 30, 1.55% vs 1.98% at 60, and 10.6% vs 11.3% at 80.

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

Table

Age	Probability of dying
	Pakistan			South Sudan
	Average	Male	Female	Average	Male	Female
0	4.74%	5.16%	4.29%	6.27%	6.72%	5.81%
1	0.4%	0.38%	0.43%	1.17%	1.11%	1.23%
2	0.27%	0.28%	0.26%	1%	1%	0.99%
3	0.19%	0.21%	0.16%	0.86%	0.9%	0.8%
4	0.14%	0.16%	0.11%	0.73%	0.81%	0.65%
5	0.1%	0.13%	0.07%	0.63%	0.72%	0.53%
6	0.08%	0.1%	0.05%	0.54%	0.63%	0.44%
7	0.07%	0.09%	0.04%	0.46%	0.55%	0.37%
8	0.06%	0.08%	0.04%	0.39%	0.47%	0.31%
9	0.05%	0.07%	0.03%	0.34%	0.41%	0.27%
10	0.05%	0.07%	0.04%	0.3%	0.36%	0.24%
11	0.05%	0.07%	0.04%	0.27%	0.32%	0.23%
12	0.06%	0.07%	0.04%	0.26%	0.31%	0.22%
13	0.06%	0.08%	0.04%	0.26%	0.3%	0.22%
14	0.07%	0.09%	0.05%	0.27%	0.32%	0.23%
15	0.08%	0.1%	0.05%	0.29%	0.34%	0.24%
16	0.09%	0.11%	0.06%	0.32%	0.38%	0.26%
17	0.1%	0.13%	0.06%	0.35%	0.42%	0.27%
18	0.11%	0.15%	0.07%	0.38%	0.47%	0.29%
19	0.12%	0.16%	0.08%	0.42%	0.52%	0.31%
20	0.13%	0.18%	0.08%	0.45%	0.57%	0.32%
21	0.14%	0.18%	0.09%	0.47%	0.61%	0.33%
22	0.14%	0.19%	0.09%	0.49%	0.64%	0.34%
23	0.15%	0.19%	0.1%	0.5%	0.65%	0.35%
24	0.15%	0.19%	0.1%	0.51%	0.66%	0.36%
25	0.15%	0.19%	0.1%	0.51%	0.66%	0.37%
26	0.15%	0.19%	0.11%	0.52%	0.65%	0.38%
27	0.15%	0.19%	0.11%	0.53%	0.65%	0.4%
28	0.15%	0.19%	0.12%	0.53%	0.66%	0.41%
29	0.16%	0.19%	0.12%	0.54%	0.66%	0.42%
30	0.16%	0.2%	0.13%	0.55%	0.67%	0.43%
31	0.17%	0.2%	0.13%	0.56%	0.68%	0.44%
32	0.18%	0.21%	0.14%	0.57%	0.69%	0.45%
33	0.18%	0.22%	0.14%	0.58%	0.71%	0.46%
34	0.19%	0.23%	0.15%	0.59%	0.72%	0.47%
35	0.2%	0.24%	0.16%	0.6%	0.73%	0.48%
36	0.21%	0.26%	0.17%	0.61%	0.75%	0.5%
37	0.23%	0.27%	0.18%	0.63%	0.77%	0.51%
38	0.24%	0.29%	0.19%	0.66%	0.79%	0.54%
39	0.26%	0.31%	0.21%	0.69%	0.82%	0.56%
40	0.28%	0.33%	0.22%	0.72%	0.86%	0.59%
41	0.3%	0.36%	0.24%	0.75%	0.89%	0.61%
42	0.32%	0.39%	0.26%	0.77%	0.93%	0.63%
43	0.35%	0.42%	0.28%	0.8%	0.96%	0.65%
44	0.38%	0.46%	0.3%	0.82%	0.99%	0.66%
45	0.41%	0.5%	0.33%	0.84%	1.03%	0.67%
46	0.45%	0.55%	0.36%	0.87%	1.07%	0.69%
47	0.49%	0.6%	0.39%	0.9%	1.11%	0.71%
48	0.54%	0.65%	0.42%	0.95%	1.17%	0.75%
49	0.59%	0.71%	0.46%	1.01%	1.25%	0.8%
50	0.64%	0.78%	0.5%	1.07%	1.33%	0.85%
51	0.7%	0.85%	0.54%	1.14%	1.41%	0.91%
52	0.76%	0.93%	0.59%	1.22%	1.5%	0.97%
53	0.83%	1.02%	0.64%	1.29%	1.58%	1.03%
54	0.91%	1.12%	0.69%	1.35%	1.66%	1.09%
55	0.99%	1.23%	0.75%	1.42%	1.74%	1.15%
56	1.08%	1.35%	0.82%	1.5%	1.83%	1.22%
57	1.19%	1.48%	0.89%	1.59%	1.93%	1.29%
58	1.3%	1.62%	0.98%	1.7%	2.06%	1.39%
59	1.42%	1.78%	1.07%	1.83%	2.22%	1.51%
60	1.55%	1.94%	1.17%	1.98%	2.4%	1.64%
61	1.69%	2.11%	1.29%	2.16%	2.6%	1.8%
62	1.85%	2.31%	1.42%	2.36%	2.81%	1.98%
63	2.03%	2.51%	1.58%	2.56%	3.05%	2.17%
64	2.23%	2.74%	1.75%	2.79%	3.29%	2.38%
65	2.45%	3%	1.94%	3.02%	3.55%	2.6%
66	2.69%	3.28%	2.16%	3.28%	3.83%	2.85%
67	2.97%	3.59%	2.4%	3.57%	4.15%	3.12%
68	3.27%	3.93%	2.68%	3.9%	4.51%	3.43%
69	3.61%	4.3%	2.99%	4.27%	4.92%	3.78%
70	3.98%	4.71%	3.33%	4.68%	5.37%	4.17%
71	4.39%	5.16%	3.71%	5.14%	5.87%	4.59%
72	4.83%	5.65%	4.13%	5.62%	6.42%	5.04%
73	5.32%	6.18%	4.59%	6.14%	7%	5.53%
74	5.86%	6.76%	5.1%	6.69%	7.62%	6.06%
75	6.45%	7.4%	5.66%	7.3%	8.28%	6.62%
76	7.11%	8.11%	6.29%	7.95%	9.01%	7.24%
77	7.85%	8.88%	7%	8.67%	9.8%	7.93%
78	8.67%	9.74%	7.8%	9.47%	10.7%	8.7%
79	9.58%	10.7%	8.68%	10.4%	11.7%	9.55%
80	10.6%	11.7%	9.67%	11.3%	12.7%	10.5%
81	11.6%	12.8%	10.7%	12.4%	13.8%	11.5%
82	12.8%	13.9%	11.9%	13.5%	15%	12.6%
83	14%	15.2%	13.1%	14.7%	16.3%	13.7%
84	15.3%	16.5%	14.4%	15.9%	17.6%	14.9%
85	16.7%	17.9%	15.7%	17.2%	19%	16.1%
86	18.1%	19.5%	17.1%	18.5%	20.6%	17.4%
87	19.7%	21.2%	18.5%	19.9%	22.4%	18.6%
88	21.3%	23.2%	20%	21.4%	24.3%	20%
89	23.1%	25.3%	21.5%	23%	26.4%	21.4%
90	25%	27.5%	23.2%	24.6%	28.6%	22.9%
91	26.9%	29.7%	25.1%	26.3%	30.8%	24.6%
92	29%	31.9%	27.2%	28%	33%	26.4%
93	31.1%	34%	29.4%	29.8%	35.2%	28.4%
94	33.3%	36%	31.8%	31.7%	37.5%	30.6%
95	35.5%	38%	34.2%	33.5%	39.8%	32.8%
96	37.7%	39.9%	36.7%	35.7%	41.9%	35%
97	39.9%	41.8%	39%	38.7%	43.8%	37.1%
98	41.9%	43.8%	41.1%	42.1%	45.5%	39.1%
99	43.8%	45.8%	43.1%	44.2%	47.1%	41%
100	46%	47.7%	45.5%	47.2%	49.1%	43.1%

Death rate by age in Pakistan compared to South Sudan

In Pakistan, the most common age of death is 0, compared to 0 in South Sudan. The median age of death is 74.2 in Pakistan 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
	Pakistan			South Sudan
	Total	Male	Female	Total	Male	Female
0	4,738	5,164	4,291	6,268	6,715	5,811
1	385	359	412	1,094	1,033	1,158
2	259.8	268.3	250.8	924	923	924
3	179.7	202.3	155.7	784	826	741
4	128.3	154.7	100.4	667	735	598
5	95.4	120.9	68.5	568	647	485
6	74.4	97.2	50.3	482	564	397
7	61.2	81.1	40.2	409	485	330
8	53.3	70.6	35.1	348	415	278.6
9	49.2	64.4	33.1	299.8	356	241.3
10	47.9	61.7	33.3	264.5	312	215.6
11	48.9	61.9	35.1	241.6	281.4	199.9
12	51.9	65	38.1	229.7	264.9	192.9
13	56.9	71.1	41.9	228.5	262	193.4
14	63.7	80.1	46.3	236.7	271.8	200.1
15	72.1	92	50.9	253	292.7	211.5
16	81.9	106.3	55.9	275.3	323	225.8
17	92.4	121.7	61	301	359	240.8
18	102.9	137.2	66.2	329	400	254.9
19	112.7	151.3	71.5	356	442	266.8
20	121.1	162.6	76.8	381	480	276.5
21	127.6	170.5	81.8	400	511	284.6
22	132	174.8	86.5	414	530	292
23	134.8	176	90.7	422	538	299.8
24	136.2	175.3	94.4	426	538	308
25	137	173.7	97.8	429	535	317
26	137.8	172.2	101	431	529	327
27	139.1	171.5	104.3	434	526	336
28	141.3	172.3	107.9	438	524	345
29	144.5	174.7	111.9	442	526	353
30	148.8	178.7	116.5	447	529	361
31	154.1	184.2	121.7	452	535	367
32	160.4	190.9	127.5	457	540	373
33	167.6	198.7	134.1	462	546	379
34	175.7	207.6	141.3	467	551	385
35	184.7	217.5	149.3	474	557	393
36	194.7	228.8	158	482	565	403
37	205.8	241.6	167.6	494	576	417
38	218.4	256.4	177.9	510	591	433
39	232.6	273.3	189.4	528	609	451
40	248.7	292.7	202.2	547	629	469
41	267.1	315	216.6	566	650	485
42	288.1	340	233	582	669	498
43	312	369	251.7	595	686	507
44	338	400	272.8	606	702	514
45	368	435	296.3	618	718	520
46	400	473	322	632	738	529
47	435	514	350	653	763	545
48	472	559	379	680	795	567
49	511	606	410	715	833	598
50	553	658	443	754	876	634
51	599	713	478	796	920	673
52	648	774	515	836	961	713
53	702	840	555	873	999	749
54	760	913	599	907	1,033	784
55	824	991	647	940	1,066	817
56	892	1,074	700	976	1,102	853
57	966	1,161	758	1,019	1,144	897
58	1,044	1,253	821	1,071	1,196	950
59	1,126	1,347	890	1,135	1,259	1,015
60	1,213	1,445	967	1,210	1,330	1,092
61	1,306	1,545	1,051	1,292	1,407	1,178
62	1,405	1,650	1,144	1,377	1,486	1,270
63	1,511	1,758	1,246	1,463	1,563	1,366
64	1,624	1,871	1,360	1,549	1,636	1,464
65	1,745	1,987	1,484	1,635	1,707	1,564
66	1,872	2,107	1,619	1,722	1,778	1,667
67	2,007	2,230	1,765	1,812	1,851	1,775
68	2,146	2,354	1,920	1,908	1,928	1,890
69	2,290	2,477	2,085	2,007	2,008	2,009
70	2,434	2,597	2,255	2,107	2,086	2,130
71	2,577	2,710	2,428	2,202	2,158	2,248
72	2,714	2,814	2,602	2,287	2,219	2,359
73	2,844	2,905	2,772	2,357	2,264	2,457
74	2,964	2,982	2,938	2,412	2,292	2,540
75	3,072	3,043	3,096	2,452	2,303	2,609
76	3,168	3,086	3,245	2,478	2,297	2,665
77	3,250	3,108	3,382	2,486	2,275	2,706
78	3,309	3,105	3,502	2,480	2,237	2,734
79	3,338	3,072	3,597	2,456	2,179	2,741
80	3,331	3,005	3,656	2,409	2,099	2,724
81	3,281	2,900	3,669	2,334	1,995	2,675
82	3,185	2,758	3,626	2,229	1,866	2,590
83	3,042	2,582	3,522	2,095	1,717	2,468
84	2,856	2,380	3,358	1,936	1,555	2,311
85	2,634	2,160	3,139	1,760	1,386	2,126
86	2,386	1,930	2,877	1,572	1,215	1,920
87	2,122	1,694	2,583	1,379	1,047	1,704
88	1,849	1,457	2,275	1,187	883	1,485
89	1,576	1,221	1,964	1,001	726	1,272
90	1,310	992	1,663	826	579	1,071
91	1,061	778	1,379	666	446	886
92	834	587	1,118	523	330	718
93	636	426	882	401	236	568
94	469	297.6	673	298.6	162.8	438
95	333	200.7	494	216	107.8	326
96	228.1	130.8	348	153	68.4	233.8
97	150	82.5	234.2	106.6	41.5	161.3
98	94.8	50.3	150.8	71.1	24.3	106.9
99	57.6	29.6	93.1	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 Pakistan 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
• Pakistan vs South Sudan: Statistical Insights

By topic vs comparisons:

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