Life Expectancy in Kenya 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 Kenya vs South Sudan: 68.9 years vs 69.1 at 30, 79.1 vs 78 at 65, 87 vs 85.6 at 80 — significantly higher than the 64.2 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 Kenya and South Sudan.

Table

Current age, years	Total life expectancy, years
	Kenya			South Sudan
	Average	Male	Female	Average	Male	Female
0	64.2	62	66.5	58	55	61
1	66	64	68.2	61.8	58.9	64.7
2	66.3	64.3	68.5	62.5	59.5	65.5
3	66.5	64.4	68.7	63.1	60.1	66.1
4	66.7	64.6	68.9	63.6	60.6	66.6
5	66.8	64.7	69	64	61.1	67
6	66.8	64.7	69	64.4	61.5	67.3
7	66.9	64.8	69.1	64.7	61.8	67.6
8	66.9	64.8	69.1	65	62.1	67.8
9	67	64.9	69.2	65.2	62.4	68
10	67	64.9	69.2	65.4	62.6	68.2
11	67.1	65	69.3	65.5	62.8	68.3
12	67.1	65	69.3	65.7	62.9	68.4
13	67.1	65	69.3	65.8	63.1	68.5
14	67.2	65.1	69.4	66	63.2	68.7
15	67.2	65.1	69.4	66.1	63.4	68.8
16	67.3	65.2	69.5	66.3	63.5	68.9
17	67.4	65.3	69.5	66.4	63.7	69
18	67.4	65.3	69.6	66.6	63.9	69.2
19	67.5	65.4	69.7	66.8	64.1	69.3
20	67.6	65.5	69.8	67	64.4	69.5
21	67.7	65.6	69.8	67.2	64.6	69.6
22	67.8	65.8	69.9	67.4	64.9	69.8
23	67.9	65.9	70	67.6	65.1	70
24	68	66	70.1	67.8	65.4	70.1
25	68.2	66.1	70.3	68	65.7	70.3
26	68.3	66.3	70.4	68.3	65.9	70.4
27	68.4	66.4	70.5	68.5	66.2	70.6
28	68.6	66.6	70.6	68.7	66.5	70.8
29	68.7	66.7	70.8	68.9	66.7	71
30	68.9	66.9	70.9	69.1	67	71.1
31	69.1	67.1	71.1	69.3	67.2	71.3
32	69.2	67.3	71.2	69.5	67.4	71.5
33	69.4	67.5	71.4	69.8	67.7	71.7
34	69.6	67.6	71.6	70	67.9	71.8
35	69.8	67.8	71.8	70.2	68.2	72
36	70	68.1	71.9	70.4	68.4	72.2
37	70.2	68.3	72.1	70.6	68.6	72.4
38	70.4	68.5	72.3	70.8	68.9	72.5
39	70.6	68.7	72.5	71	69.1	72.7
40	70.8	69	72.8	71.2	69.4	72.9
41	71.1	69.2	73	71.5	69.6	73.1
42	71.3	69.5	73.2	71.7	69.9	73.3
43	71.6	69.8	73.4	71.9	70.1	73.5
44	71.8	70.1	73.6	72.1	70.4	73.7
45	72.1	70.3	73.9	72.4	70.6	73.9
46	72.4	70.6	74.1	72.6	70.9	74.1
47	72.6	70.9	74.4	72.8	71.2	74.3
48	72.9	71.2	74.6	73	71.4	74.4
49	73.2	71.6	74.9	73.3	71.7	74.6
50	73.5	71.9	75.1	73.5	72	74.8
51	73.8	72.2	75.4	73.8	72.3	75.1
52	74.1	72.6	75.7	74	72.6	75.3
53	74.5	72.9	76	74.3	72.9	75.5
54	74.8	73.3	76.3	74.5	73.2	75.7
55	75.1	73.7	76.6	74.8	73.5	76
56	75.5	74	76.9	75.1	73.8	76.2
57	75.8	74.4	77.2	75.4	74.1	76.4
58	76.2	74.8	77.5	75.7	74.5	76.7
59	76.6	75.2	77.8	76	74.8	76.9
60	77	75.6	78.2	76.3	75.1	77.2
61	77.4	76.1	78.5	76.6	75.5	77.5
62	77.8	76.5	78.9	76.9	75.9	77.8
63	78.2	77	79.2	77.3	76.3	78.1
64	78.6	77.5	79.6	77.6	76.7	78.4
65	79.1	78	80	78	77.1	78.7
66	79.5	78.5	80.5	78.4	77.5	79.1
67	80	79	80.9	78.8	77.9	79.5
68	80.5	79.5	81.3	79.2	78.4	79.8
69	81	80	81.8	79.7	78.9	80.2
70	81.5	80.5	82.2	80.1	79.3	80.7
71	82	81.1	82.7	80.6	79.8	81.1
72	82.5	81.6	83.2	81.1	80.4	81.6
73	83	82.2	83.7	81.6	80.9	82.1
74	83.6	82.8	84.2	82.1	81.5	82.6
75	84.1	83.3	84.7	82.6	82	83.1
76	84.6	83.9	85.2	83.2	82.6	83.6
77	85.2	84.5	85.7	83.8	83.2	84.2
78	85.8	85.1	86.3	84.4	83.8	84.7
79	86.4	85.7	86.8	85	84.5	85.3
80	87	86.3	87.4	85.6	85.1	85.9
81	87.6	87	87.9	86.3	85.8	86.6
82	88.2	87.6	88.5	87	86.5	87.2
83	88.8	88.3	89.1	87.7	87.2	87.9
84	89.5	89	89.7	88.4	87.9	88.6
85	90.1	89.7	90.4	89.1	88.7	89.4
86	90.8	90.4	91.1	89.9	89.4	90.1
87	91.6	91.1	91.8	90.6	90.2	90.8
88	92.3	91.9	92.5	91.4	91	91.6
89	93	92.7	93.2	92.2	91.8	92.4
90	93.8	93.5	94	93	92.6	93.2
91	94.6	94.3	94.7	93.8	93.4	94
92	95.4	95.1	95.5	94.7	94.2	94.8
93	96.2	95.9	96.3	95.5	95.1	95.6
94	97	96.8	97.1	96.3	96	96.4
95	97.8	97.6	97.9	97.2	96.9	97.3
96	98.7	98.5	98.8	98.1	97.8	98.1
97	99.5	99.4	99.6	98.9	98.7	99
98	100.4	100.2	100.5	99.8	99.6	99.9
99	101.3	101.1	101.4	100.7	100.6	100.8
100	102.2	102	102.2	101.7	101.6	101.8

Odds of living to age in Kenya vs South Sudan

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 66% in Kenya and 61.1% in South Sudan are expected to survive till at least 60 years old, 47.6% and 45.1% will live to 70 years or older, 25.7% and 21.3% to 80+ years, and 6.54% 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
	Kenya			South Sudan
	Average	Male	Female	Average	Male	Female
1	97.2%	96.8%	97.5%	93.8%	93.3%	94.2%
2	96.7%	96.4%	97%	92.7%	92.3%	93.1%
3	96.4%	96.1%	96.7%	91.8%	91.4%	92.2%
4	96.2%	95.9%	96.5%	91%	90.6%	91.5%
5	96.1%	95.8%	96.4%	90.3%	89.8%	90.9%
6	96%	95.7%	96.3%	89.8%	89.2%	90.4%
7	95.9%	95.6%	96.2%	89.3%	88.6%	90%
8	95.8%	95.5%	96.1%	88.9%	88.2%	89.7%
9	95.7%	95.4%	96.1%	88.6%	87.8%	89.4%
10	95.7%	95.3%	96%	88.3%	87.4%	89.1%
11	95.6%	95.3%	95.9%	88%	87.1%	88.9%
12	95.5%	95.2%	95.9%	87.8%	86.8%	88.7%
13	95.5%	95.1%	95.8%	87.5%	86.6%	88.5%
14	95.4%	95%	95.7%	87.3%	86.3%	88.4%
15	95.3%	95%	95.7%	87.1%	86%	88.2%
16	95.2%	94.8%	95.6%	86.8%	85.7%	87.9%
17	95.1%	94.7%	95.5%	86.5%	85.4%	87.7%
18	94.9%	94.6%	95.3%	86.2%	85.1%	87.5%
19	94.8%	94.4%	95.2%	85.9%	84.7%	87.2%
20	94.6%	94.2%	95%	85.6%	84.2%	87%
21	94.4%	93.9%	94.9%	85.2%	83.7%	86.7%
22	94.2%	93.7%	94.7%	84.8%	83.2%	86.4%
23	94%	93.4%	94.5%	84.4%	82.7%	86.1%
24	93.7%	93.1%	94.3%	84%	82.2%	85.8%
25	93.4%	92.8%	94%	83.5%	81.6%	85.5%
26	93.1%	92.5%	93.8%	83.1%	81.1%	85.2%
27	92.8%	92.2%	93.5%	82.7%	80.6%	84.9%
28	92.5%	91.8%	93.2%	82.2%	80.1%	84.5%
29	92.2%	91.4%	92.9%	81.8%	79.5%	84.2%
30	91.8%	91%	92.6%	81.4%	79%	83.8%
31	91.4%	90.6%	92.2%	80.9%	78.5%	83.5%
32	91%	90.1%	91.9%	80.5%	77.9%	83.1%
33	90.6%	89.7%	91.5%	80%	77.4%	82.7%
34	90.1%	89.2%	91%	79.6%	76.9%	82.4%
35	89.6%	88.6%	90.6%	79.1%	76.3%	82%
36	89.1%	88%	90.1%	78.6%	75.8%	81.6%
37	88.5%	87.4%	89.7%	78.1%	75.2%	81.2%
38	88%	86.8%	89.1%	77.6%	74.6%	80.8%
39	87.4%	86.1%	88.6%	77.1%	74%	80.3%
40	86.7%	85.4%	88.1%	76.6%	73.4%	79.9%
41	86%	84.6%	87.5%	76.1%	72.8%	79.4%
42	85.3%	83.8%	86.9%	75.5%	72.1%	78.9%
43	84.6%	83%	86.2%	74.9%	71.5%	78.4%
44	83.9%	82.1%	85.6%	74.3%	70.8%	77.9%
45	83.1%	81.2%	84.9%	73.7%	70.1%	77.4%
46	82.2%	80.3%	84.2%	73.1%	69.4%	76.9%
47	81.4%	79.3%	83.5%	72.5%	68.6%	76.4%
48	80.4%	78.3%	82.7%	71.8%	67.9%	75.8%
49	79.5%	77.2%	81.9%	71.1%	67.1%	75.3%
50	78.5%	76.1%	81%	70.4%	66.3%	74.7%
51	77.4%	74.9%	80.1%	69.7%	65.4%	74%
52	76.4%	73.6%	79.2%	68.9%	64.5%	73.4%
53	75.2%	72.4%	78.2%	68%	63.5%	72.7%
54	74.1%	71%	77.2%	67.2%	62.5%	71.9%
55	72.8%	69.7%	76.2%	66.3%	61.5%	71.1%
56	71.6%	68.2%	75.1%	65.3%	60.4%	70.3%
57	70.3%	66.8%	74%	64.4%	59.3%	69.5%
58	68.9%	65.2%	72.8%	63.3%	58.2%	68.6%
59	67.5%	63.7%	71.6%	62.3%	57%	67.6%
60	66%	62%	70.3%	61.1%	55.7%	66.6%
61	64.5%	60.3%	68.9%	59.9%	54.4%	65.5%
62	62.8%	58.5%	67.5%	58.6%	53%	64.3%
63	61.1%	56.6%	66%	57.3%	51.5%	63.1%
64	59.4%	54.7%	64.4%	55.8%	49.9%	61.7%
65	57.5%	52.7%	62.7%	54.2%	48.3%	60.2%
66	55.6%	50.6%	60.9%	52.6%	46.6%	58.7%
67	53.7%	48.5%	59.1%	50.9%	44.8%	57%
68	51.7%	46.5%	57.2%	49.1%	42.9%	55.2%
69	49.7%	44.4%	55.3%	47.1%	41%	53.3%
70	47.6%	42.2%	53.3%	45.1%	39%	51.3%
71	45.5%	40.1%	51.3%	43%	36.9%	49.2%
72	43.4%	37.9%	49.2%	40.8%	34.7%	46.9%
73	41.3%	35.8%	47%	38.5%	32.5%	44.6%
74	39.1%	33.6%	44.8%	36.2%	30.2%	42.1%
75	36.9%	31.4%	42.6%	33.7%	27.9%	39.6%
76	34.6%	29.2%	40.3%	31.3%	25.6%	36.9%
77	32.4%	27.1%	38%	28.8%	23.3%	34.3%
78	30.1%	24.9%	35.7%	26.3%	21%	31.6%
79	27.9%	22.8%	33.3%	23.8%	18.8%	28.8%
80	25.7%	20.7%	31%	21.3%	16.6%	26.1%
81	23.5%	18.7%	28.6%	18.9%	14.5%	23.3%
82	21.4%	16.7%	26.3%	16.6%	12.5%	20.6%
83	19.2%	14.8%	23.9%	14.4%	10.6%	18%
84	17.1%	12.9%	21.5%	12.3%	8.88%	15.6%
85	15%	11.2%	19.1%	10.3%	7.31%	13.2%
86	13.1%	9.5%	16.7%	8.54%	5.92%	11.1%
87	11.2%	7.98%	14.5%	6.96%	4.7%	9.18%
88	9.51%	6.6%	12.4%	5.58%	3.65%	7.47%
89	7.94%	5.38%	10.5%	4.38%	2.76%	5.98%
90	6.54%	4.31%	8.75%	3.37%	2.03%	4.7%
91	5.28%	3.39%	7.15%	2.54%	1.45%	3.62%
92	4.21%	2.63%	5.77%	1.87%	1%	2.73%
93	3.29%	1.99%	4.57%	1.35%	0.67%	2.01%
94	2.52%	1.48%	3.54%	0.94%	0.44%	1.44%
95	1.89%	1.07%	2.69%	0.64%	0.27%	1%
96	1.38%	0.76%	2%	0.43%	0.16%	0.67%
97	0.99%	0.53%	1.45%	0.27%	0.1%	0.44%
98	0.69%	0.36%	1.03%	0.17%	0.05%	0.28%
99	0.48%	0.24%	0.72%	0.1%	0.03%	0.17%
100	0.32%	0.15%	0.49%	0.06%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.82% in the birth year in Kenya and 6.22% in South Sudan, 0.42% vs 0.55% at age 30, 2.36% vs 1.98% at 60, and 8.53% vs 11.3% at 80.

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

Table

Age	Probability of dying
	Kenya			South Sudan
	Average	Male	Female	Average	Male	Female
0	2.82%	3.15%	2.48%	6.22%	6.67%	5.75%
1	0.47%	0.44%	0.49%	1.16%	1.1%	1.22%
2	0.3%	0.29%	0.3%	0.99%	0.99%	0.98%
3	0.21%	0.21%	0.2%	0.85%	0.9%	0.8%
4	0.15%	0.15%	0.15%	0.73%	0.8%	0.65%
5	0.11%	0.12%	0.11%	0.62%	0.71%	0.53%
6	0.1%	0.1%	0.09%	0.53%	0.63%	0.43%
7	0.09%	0.09%	0.08%	0.45%	0.54%	0.36%
8	0.08%	0.08%	0.07%	0.39%	0.47%	0.31%
9	0.07%	0.08%	0.07%	0.34%	0.4%	0.27%
10	0.07%	0.07%	0.07%	0.3%	0.35%	0.24%
11	0.07%	0.08%	0.07%	0.27%	0.32%	0.22%
12	0.07%	0.08%	0.07%	0.26%	0.3%	0.22%
13	0.08%	0.09%	0.08%	0.26%	0.3%	0.22%
14	0.09%	0.1%	0.08%	0.27%	0.31%	0.22%
15	0.11%	0.12%	0.1%	0.29%	0.34%	0.24%
16	0.13%	0.14%	0.11%	0.32%	0.37%	0.26%
17	0.15%	0.17%	0.13%	0.35%	0.42%	0.27%
18	0.17%	0.2%	0.15%	0.38%	0.47%	0.29%
19	0.19%	0.22%	0.16%	0.41%	0.52%	0.3%
20	0.21%	0.24%	0.18%	0.44%	0.57%	0.32%
21	0.23%	0.26%	0.19%	0.47%	0.61%	0.33%
22	0.25%	0.28%	0.21%	0.49%	0.63%	0.34%
23	0.27%	0.31%	0.23%	0.5%	0.65%	0.35%
24	0.29%	0.32%	0.25%	0.51%	0.65%	0.36%
25	0.31%	0.35%	0.27%	0.51%	0.65%	0.37%
26	0.33%	0.37%	0.29%	0.52%	0.65%	0.38%
27	0.35%	0.39%	0.31%	0.52%	0.65%	0.39%
28	0.37%	0.42%	0.33%	0.53%	0.65%	0.41%
29	0.4%	0.44%	0.36%	0.54%	0.66%	0.42%
30	0.42%	0.47%	0.38%	0.55%	0.67%	0.43%
31	0.45%	0.5%	0.4%	0.56%	0.68%	0.44%
32	0.48%	0.53%	0.43%	0.57%	0.69%	0.45%
33	0.51%	0.57%	0.45%	0.58%	0.7%	0.46%
34	0.54%	0.61%	0.48%	0.59%	0.71%	0.47%
35	0.58%	0.65%	0.51%	0.6%	0.73%	0.48%
36	0.62%	0.69%	0.54%	0.61%	0.74%	0.49%
37	0.65%	0.74%	0.57%	0.63%	0.76%	0.51%
38	0.69%	0.79%	0.6%	0.65%	0.79%	0.53%
39	0.73%	0.83%	0.63%	0.68%	0.82%	0.56%
40	0.78%	0.89%	0.66%	0.71%	0.85%	0.58%
41	0.81%	0.93%	0.69%	0.74%	0.89%	0.61%
42	0.86%	0.98%	0.72%	0.77%	0.92%	0.63%
43	0.9%	1.04%	0.76%	0.79%	0.96%	0.64%
44	0.95%	1.1%	0.79%	0.81%	0.99%	0.66%
45	1%	1.17%	0.84%	0.84%	1.02%	0.67%
46	1.06%	1.23%	0.88%	0.86%	1.06%	0.69%
47	1.12%	1.3%	0.93%	0.9%	1.11%	0.71%
48	1.19%	1.38%	0.98%	0.95%	1.17%	0.75%
49	1.25%	1.47%	1.04%	1%	1.24%	0.79%
50	1.34%	1.57%	1.1%	1.07%	1.32%	0.85%
51	1.4%	1.64%	1.15%	1.14%	1.41%	0.91%
52	1.48%	1.74%	1.22%	1.21%	1.49%	0.97%
53	1.56%	1.83%	1.28%	1.28%	1.57%	1.03%
54	1.64%	1.93%	1.35%	1.35%	1.65%	1.09%
55	1.73%	2.05%	1.42%	1.42%	1.73%	1.15%
56	1.83%	2.15%	1.51%	1.49%	1.82%	1.21%
57	1.93%	2.28%	1.59%	1.58%	1.93%	1.29%
58	2.05%	2.43%	1.7%	1.69%	2.06%	1.39%
59	2.19%	2.59%	1.81%	1.82%	2.21%	1.5%
60	2.36%	2.81%	1.94%	1.98%	2.39%	1.64%
61	2.51%	2.97%	2.08%	2.16%	2.59%	1.8%
62	2.7%	3.2%	2.25%	2.35%	2.81%	1.97%
63	2.9%	3.42%	2.42%	2.56%	3.04%	2.17%
64	3.11%	3.65%	2.61%	2.78%	3.28%	2.37%
65	3.34%	3.91%	2.83%	3.02%	3.54%	2.6%
66	3.5%	4.08%	2.98%	3.28%	3.83%	2.84%
67	3.68%	4.29%	3.16%	3.57%	4.14%	3.12%
68	3.89%	4.52%	3.36%	3.9%	4.5%	3.43%
69	4.11%	4.77%	3.57%	4.26%	4.91%	3.77%
70	4.41%	5.1%	3.84%	4.68%	5.37%	4.16%
71	4.64%	5.36%	4.06%	5.13%	5.87%	4.58%
72	4.99%	5.75%	4.38%	5.62%	6.41%	5.03%
73	5.3%	6.1%	4.68%	6.14%	6.99%	5.52%
74	5.66%	6.5%	5.01%	6.69%	7.61%	6.05%
75	6.05%	6.94%	5.37%	7.29%	8.28%	6.61%
76	6.48%	7.39%	5.74%	7.94%	9%	7.23%
77	6.92%	7.88%	6.11%	8.67%	9.8%	7.92%
78	7.44%	8.49%	6.6%	9.47%	10.7%	8.69%
79	7.9%	9.07%	7.01%	10.4%	11.7%	9.54%
80	8.53%	9.8%	7.62%	11.3%	12.7%	10.5%
81	9.13%	10.5%	8.19%	12.4%	13.8%	11.5%
82	10.1%	11.6%	9.19%	13.5%	15%	12.6%
83	11%	12.6%	10.1%	14.6%	16.3%	13.7%
84	12%	13.7%	11.1%	15.9%	17.6%	14.9%
85	13%	14.8%	12.2%	17.1%	19%	16.1%
86	14.2%	16%	13.3%	18.5%	20.6%	17.4%
87	15.3%	17.2%	14.3%	19.9%	22.4%	18.6%
88	16.5%	18.5%	15.5%	21.4%	24.3%	20%
89	17.7%	19.8%	16.7%	23%	26.4%	21.4%
90	19.2%	21.3%	18.3%	24.6%	28.6%	22.9%
91	20.3%	22.6%	19.3%	26.3%	30.8%	24.6%
92	21.9%	24.3%	20.9%	28.1%	33%	26.4%
93	23.4%	25.8%	22.4%	30%	35.2%	28.4%
94	25.1%	27.5%	24%	31.9%	37.5%	30.6%
95	26.7%	29.1%	25.8%	33.8%	39.8%	32.8%
96	28.3%	30.6%	27.4%	35.6%	41.9%	35%
97	29.9%	32.1%	28.9%	37.7%	43.8%	37.1%
98	31.3%	33.6%	30.4%	40.5%	45.5%	39.1%
99	33.2%	35.4%	32.3%	43.7%	47.1%	41%
100	34.7%	36.8%	33.8%	45.7%	49.1%	43.1%

Death rate by age in Kenya compared to South Sudan

In Kenya, the most common age of death is 0, compared to 0 in South Sudan. The median age of death is 68.8 in Kenya 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
	Kenya			South Sudan
	Total	Male	Female	Total	Male	Female
0	2,818	3,154	2,478	6,215	6,667	5,754
1	454	428	480	1,086	1,027	1,147
2	288.3	281.8	294.8	915	916	915
3	197.9	197.7	198	776	818	733
4	144	146.8	141.1	660	727	591
5	109.2	111.8	106.5	561	641	479
6	92.5	96.3	88.6	477	558	393
7	82.4	86.7	78.1	404	480	326
8	74.2	78.3	70.1	344	411	275.7
9	69	72.4	65.5	296.8	353	238.8
10	66.7	70.3	63.1	262	309	213.5
11	67.3	72.1	62.5	239.4	279	198.2
12	70.4	75.3	65.4	227.9	262.8	191.3
13	76.9	81.8	72	226.8	260.1	192
14	87.5	93.7	81.2	235.1	270	198.7
15	102.9	111	94.6	251.3	290.8	210.1
16	119.7	131.5	107.6	273.6	321	224.4
17	140.3	157.5	122.8	299.3	357	239.3
18	162.4	185.4	139	327	397	253.5
19	180.2	205.8	154.3	354	439	265.4
20	198.6	226.6	170.5	379	478	275.1
21	214.5	246.6	182.5	398	508	283.3
22	232.9	266.5	199.6	412	527	290.7
23	250.7	285.1	216.8	420	535	298.4
24	268.3	303	234.5	424	536	307
25	287	322	252.9	427	532	316
26	306	340	273.1	429	527	325
27	326	361	293.5	432	523	335
28	346	382	311	436	522	344
29	367	404	332	440	523	352
30	390	431	351	446	527	359
31	409	452	367	451	533	366
32	435	481	391	456	538	372
33	461	510	412	461	544	377
34	489	543	436	466	549	384
35	521	578	464	473	555	392
36	549	611	487	481	563	402
37	580	647	511	493	575	415
38	610	682	536	508	590	431
39	639	716	559	526	608	449
40	673	757	584	545	628	467
41	699	786	605	564	648	483
42	730	824	628	580	667	496
43	761	861	653	593	685	506
44	794	900	679	604	700	512
45	834	947	710	616	717	519
46	869	988	739	631	737	528
47	910	1,034	774	651	762	543
48	954	1,084	811	679	794	566
49	997	1,133	850	713	832	596
50	1,049	1,193	892	753	875	633
51	1,084	1,231	924	795	919	672
52	1,132	1,283	967	835	961	711
53	1,171	1,326	1,002	872	999	748
54	1,215	1,373	1,042	906	1,033	782
55	1,262	1,425	1,085	939	1,066	816
56	1,307	1,469	1,132	976	1,102	853
57	1,358	1,522	1,180	1,018	1,145	896
58	1,416	1,584	1,236	1,072	1,197	950
59	1,477	1,648	1,294	1,136	1,260	1,015
60	1,560	1,739	1,366	1,210	1,332	1,092
61	1,618	1,792	1,432	1,292	1,409	1,178
62	1,699	1,873	1,515	1,378	1,488	1,270
63	1,770	1,935	1,595	1,465	1,565	1,366
64	1,844	1,998	1,682	1,551	1,639	1,464
65	1,921	2,060	1,776	1,636	1,710	1,565
66	1,944	2,067	1,816	1,724	1,782	1,668
67	1,976	2,083	1,867	1,815	1,855	1,777
68	2,012	2,102	1,922	1,911	1,933	1,891
69	2,043	2,116	1,972	2,011	2,013	2,011
70	2,099	2,153	2,048	2,111	2,091	2,133
71	2,112	2,148	2,080	2,207	2,164	2,252
72	2,166	2,180	2,156	2,292	2,226	2,363
73	2,188	2,182	2,200	2,364	2,272	2,461
74	2,212	2,183	2,248	2,419	2,300	2,546
75	2,230	2,178	2,289	2,459	2,311	2,615
76	2,243	2,160	2,313	2,485	2,305	2,672
77	2,240	2,132	2,320	2,497	2,284	2,714
78	2,244	2,116	2,353	2,490	2,246	2,742
79	2,204	2,068	2,335	2,465	2,188	2,750
80	2,192	2,033	2,362	2,417	2,108	2,734
81	2,146	1,973	2,345	2,342	2,003	2,685
82	2,159	1,941	2,415	2,237	1,874	2,600
83	2,113	1,864	2,409	2,103	1,725	2,478
84	2,058	1,776	2,391	1,944	1,562	2,321
85	1,959	1,651	2,316	1,767	1,392	2,135
86	1,852	1,523	2,224	1,579	1,221	1,929
87	1,711	1,375	2,084	1,386	1,052	1,712
88	1,565	1,223	1,933	1,193	887	1,492
89	1,403	1,066	1,756	1,007	729	1,279
90	1,255	920	1,598	831	582	1,077
91	1,072	767	1,378	670	447	890
92	923	638	1,207	527	331	722
93	771	514	1,023	404	237	571
94	631	405	851	301	163.5	440
95	505	311	693	217.2	108.2	328
96	392	232.6	547	151.7	68.7	235
97	295.7	169.3	419	103.4	41.7	162.1
98	217.5	120.1	313	69.1	24.4	107.5
99	158.4	84	232.3	44.4	13.7	68.6
100	53.6	13.4	94.3	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 Kenya 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
• Kenya vs South Sudan: Data-driven Comparison

By topic vs comparisons:

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