Life Expectancy in Kenya 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 Kenya vs South Sudan: 68.8 years vs 69.1 at 30, 79.1 vs 78 at 65, 87 vs 85.6 at 80 — significantly higher than the 64 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 Kenya and South Sudan.

Table

Current age, years	Total life expectancy, years
	Kenya			South Sudan
	Average	Male	Female	Average	Male	Female
0	64	61.8	66.3	57.9	54.9	60.9
1	65.9	63.8	68	61.7	58.8	64.6
2	66.2	64.1	68.4	62.4	59.4	65.4
3	66.4	64.3	68.6	63	60	66
4	66.5	64.4	68.7	63.5	60.5	66.5
5	66.6	64.5	68.8	64	61	66.9
6	66.7	64.6	68.9	64.3	61.4	67.3
7	66.7	64.6	68.9	64.7	61.7	67.5
8	66.8	64.7	69	64.9	62	67.8
9	66.8	64.7	69	65.1	62.3	67.9
10	66.9	64.8	69.1	65.3	62.5	68.1
11	66.9	64.8	69.1	65.5	62.7	68.2
12	67	64.9	69.1	65.6	62.9	68.4
13	67	64.9	69.2	65.8	63	68.5
14	67	65	69.2	65.9	63.2	68.6
15	67.1	65	69.3	66.1	63.3	68.7
16	67.2	65.1	69.3	66.2	63.5	68.9
17	67.2	65.1	69.4	66.4	63.7	69
18	67.3	65.2	69.5	66.5	63.9	69.1
19	67.4	65.3	69.5	66.7	64.1	69.3
20	67.5	65.4	69.6	66.9	64.3	69.4
21	67.6	65.5	69.7	67.1	64.6	69.6
22	67.7	65.6	69.8	67.3	64.8	69.8
23	67.8	65.8	69.9	67.6	65.1	69.9
24	67.9	65.9	70	67.8	65.4	70.1
25	68	66	70.1	68	65.6	70.2
26	68.2	66.2	70.2	68.2	65.9	70.4
27	68.3	66.3	70.4	68.4	66.2	70.6
28	68.5	66.5	70.5	68.7	66.4	70.7
29	68.6	66.6	70.7	68.9	66.7	70.9
30	68.8	66.8	70.8	69.1	66.9	71.1
31	68.9	67	71	69.3	67.2	71.3
32	69.1	67.2	71.1	69.5	67.4	71.4
33	69.3	67.3	71.3	69.7	67.7	71.6
34	69.5	67.5	71.5	69.9	67.9	71.8
35	69.7	67.7	71.7	70.1	68.1	72
36	69.9	68	71.8	70.4	68.4	72.2
37	70.1	68.2	72	70.6	68.6	72.3
38	70.3	68.4	72.2	70.8	68.9	72.5
39	70.5	68.7	72.4	71	69.1	72.7
40	70.8	68.9	72.7	71.2	69.3	72.9
41	71	69.2	72.9	71.4	69.6	73.1
42	71.2	69.4	73.1	71.6	69.9	73.3
43	71.5	69.7	73.3	71.9	70.1	73.5
44	71.8	70	73.6	72.1	70.4	73.7
45	72	70.3	73.8	72.3	70.6	73.8
46	72.3	70.6	74	72.6	70.9	74
47	72.6	70.9	74.3	72.8	71.2	74.2
48	72.9	71.2	74.5	73	71.4	74.4
49	73.2	71.5	74.8	73.3	71.7	74.6
50	73.5	71.8	75.1	73.5	72	74.8
51	73.8	72.2	75.3	73.7	72.3	75
52	74.1	72.5	75.6	74	72.6	75.2
53	74.4	72.9	75.9	74.3	72.9	75.5
54	74.8	73.2	76.2	74.5	73.2	75.7
55	75.1	73.6	76.5	74.8	73.5	75.9
56	75.4	74	76.8	75.1	73.8	76.2
57	75.8	74.4	77.1	75.4	74.1	76.4
58	76.2	74.8	77.5	75.7	74.5	76.7
59	76.5	75.2	77.8	76	74.8	76.9
60	76.9	75.6	78.1	76.3	75.1	77.2
61	77.3	76.1	78.5	76.6	75.5	77.5
62	77.7	76.5	78.8	76.9	75.9	77.8
63	78.2	77	79.2	77.3	76.3	78.1
64	78.6	77.4	79.6	77.6	76.7	78.4
65	79.1	77.9	80	78	77.1	78.7
66	79.5	78.5	80.4	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	79.6	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
74	83.5	82.7	84.2	82.1	81.5	82.5
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	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, 65.7% in Kenya and 61% in South Sudan are expected to survive till at least 60 years old, 47.3% and 45% will live to 70 years or older, 25.5% and 21.3% to 80+ years, and 6.47% 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
	Kenya			South Sudan
	Average	Male	Female	Average	Male	Female
1	97.1%	96.8%	97.5%	93.7%	93.3%	94.2%
2	96.7%	96.4%	97%	92.6%	92.3%	93%
3	96.4%	96.1%	96.7%	91.7%	91.3%	92.1%
4	96.2%	95.9%	96.5%	90.9%	90.5%	91.4%
5	96%	95.7%	96.3%	90.3%	89.8%	90.8%
6	95.9%	95.6%	96.2%	89.7%	89.1%	90.3%
7	95.8%	95.5%	96.2%	89.2%	88.6%	89.9%
8	95.8%	95.5%	96.1%	88.8%	88.1%	89.6%
9	95.7%	95.4%	96%	88.5%	87.7%	89.3%
10	95.6%	95.3%	95.9%	88.2%	87.3%	89%
11	95.5%	95.2%	95.9%	87.9%	87%	88.8%
12	95.5%	95.2%	95.8%	87.7%	86.7%	88.6%
13	95.4%	95.1%	95.7%	87.4%	86.4%	88.4%
14	95.3%	95%	95.7%	87.2%	86.2%	88.2%
15	95.2%	94.9%	95.6%	87%	85.9%	88%
16	95.1%	94.8%	95.5%	86.7%	85.6%	87.8%
17	95%	94.7%	95.4%	86.4%	85.3%	87.6%
18	94.9%	94.5%	95.3%	86.1%	84.9%	87.4%
19	94.7%	94.3%	95.1%	85.8%	84.5%	87.1%
20	94.5%	94.1%	95%	85.4%	84.1%	86.8%
21	94.3%	93.9%	94.8%	85.1%	83.6%	86.6%
22	94.1%	93.6%	94.6%	84.7%	83.1%	86.3%
23	93.9%	93.3%	94.4%	84.2%	82.6%	86%
24	93.6%	93.1%	94.2%	83.8%	82%	85.7%
25	93.3%	92.8%	93.9%	83.4%	81.5%	85.4%
26	93%	92.4%	93.7%	83%	81%	85.1%
27	92.7%	92.1%	93.4%	82.5%	80.4%	84.7%
28	92.4%	91.7%	93.1%	82.1%	79.9%	84.4%
29	92.1%	91.3%	92.8%	81.7%	79.4%	84%
30	91.7%	90.9%	92.4%	81.2%	78.9%	83.7%
31	91.3%	90.5%	92.1%	80.8%	78.3%	83.3%
32	90.9%	90%	91.7%	80.3%	77.8%	83%
33	90.4%	89.5%	91.3%	79.9%	77.3%	82.6%
34	90%	89%	90.9%	79.4%	76.7%	82.2%
35	89.5%	88.5%	90.4%	78.9%	76.2%	81.8%
36	88.9%	87.9%	90%	78.5%	75.6%	81.4%
37	88.4%	87.3%	89.5%	78%	75%	81%
38	87.8%	86.6%	89%	77.5%	74.5%	80.6%
39	87.2%	85.9%	88.4%	77%	73.9%	80.2%
40	86.5%	85.2%	87.8%	76.5%	73.3%	79.7%
41	85.8%	84.4%	87.3%	75.9%	72.6%	79.3%
42	85.1%	83.6%	86.6%	75.3%	72%	78.8%
43	84.4%	82.8%	86%	74.8%	71.3%	78.3%
44	83.6%	81.9%	85.3%	74.2%	70.6%	77.8%
45	82.8%	81%	84.7%	73.6%	69.9%	77.3%
46	82%	80.1%	83.9%	72.9%	69.2%	76.7%
47	81.1%	79.1%	83.2%	72.3%	68.5%	76.2%
48	80.2%	78%	82.4%	71.7%	67.7%	75.7%
49	79.2%	76.9%	81.6%	71%	66.9%	75.1%
50	78.2%	75.8%	80.7%	70.3%	66.1%	74.5%
51	77.2%	74.6%	79.8%	69.5%	65.2%	73.9%
52	76.1%	73.3%	78.9%	68.7%	64.3%	73.2%
53	74.9%	72.1%	77.9%	67.9%	63.3%	72.5%
54	73.7%	70.7%	76.9%	67%	62.3%	71.7%
55	72.5%	69.3%	75.9%	66.1%	61.3%	70.9%
56	71.3%	67.9%	74.8%	65.2%	60.2%	70.1%
57	69.9%	66.4%	73.6%	64.2%	59.1%	69.3%
58	68.6%	64.9%	72.5%	63.2%	58%	68.4%
59	67.2%	63.3%	71.2%	62.1%	56.8%	67.4%
60	65.7%	61.7%	69.9%	61%	55.5%	66.4%
61	64.1%	59.9%	68.5%	59.7%	54.2%	65.3%
62	62.5%	58.1%	67.1%	58.5%	52.8%	64.1%
63	60.8%	56.3%	65.6%	57.1%	51.3%	62.9%
64	59%	54.3%	64%	55.6%	49.7%	61.5%
65	57.2%	52.3%	62.3%	54.1%	48.1%	60%
66	55.3%	50.3%	60.5%	52.4%	46.4%	58.5%
67	53.3%	48.2%	58.7%	50.7%	44.6%	56.8%
68	51.3%	46.1%	56.8%	48.9%	42.8%	55%
69	49.3%	44%	54.9%	47%	40.8%	53.1%
70	47.3%	41.9%	53%	45%	38.8%	51.1%
71	45.2%	39.8%	50.9%	42.9%	36.7%	49%
72	43.1%	37.6%	48.8%	40.7%	34.6%	46.8%
73	40.9%	35.5%	46.7%	38.4%	32.4%	44.4%
74	38.8%	33.3%	44.5%	36%	30.1%	41.9%
75	36.6%	31.1%	42.3%	33.6%	27.8%	39.4%
76	34.3%	29%	40%	31.2%	25.5%	36.8%
77	32.1%	26.8%	37.7%	28.7%	23.2%	34.1%
78	29.9%	24.7%	35.4%	26.2%	20.9%	31.4%
79	27.6%	22.6%	33%	23.7%	18.7%	28.7%
80	25.5%	20.5%	30.7%	21.3%	16.5%	26%
81	23.3%	18.5%	28.4%	18.9%	14.4%	23.2%
82	21.2%	16.6%	26%	16.5%	12.4%	20.6%
83	19%	14.6%	23.6%	14.3%	10.6%	18%
84	16.9%	12.8%	21.3%	12.2%	8.84%	15.5%
85	14.9%	11%	18.9%	10.3%	7.28%	13.2%
86	13%	9.4%	16.6%	8.5%	5.9%	11.1%
87	11.1%	7.89%	14.4%	6.93%	4.68%	9.14%
88	9.42%	6.53%	12.3%	5.55%	3.63%	7.43%
89	7.87%	5.32%	10.4%	4.36%	2.75%	5.95%
90	6.47%	4.26%	8.66%	3.36%	2.02%	4.68%
91	5.23%	3.35%	7.07%	2.53%	1.45%	3.6%
92	4.17%	2.6%	5.71%	1.87%	1%	2.72%
93	3.25%	1.97%	4.52%	1.34%	0.67%	2%
94	2.49%	1.46%	3.5%	0.94%	0.43%	1.43%
95	1.86%	1.06%	2.66%	0.64%	0.27%	0.99%
96	1.36%	0.75%	1.98%	0.43%	0.16%	0.67%
97	0.98%	0.52%	1.43%	0.28%	0.09%	0.43%
98	0.68%	0.35%	1.02%	0.17%	0.05%	0.27%
99	0.47%	0.23%	0.71%	0.1%	0.03%	0.17%
100	0.31%	0.15%	0.48%	0.05%	0.02%	0.1%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 2.86% in the birth year in Kenya and 6.27% in South Sudan, 0.43% vs 0.55% at age 30, 2.38% vs 1.98% at 60, and 8.52% 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	2.86%	3.19%	2.52%	6.27%	6.72%	5.81%
1	0.47%	0.45%	0.5%	1.17%	1.11%	1.23%
2	0.3%	0.29%	0.31%	1%	1%	0.99%
3	0.21%	0.21%	0.21%	0.86%	0.9%	0.8%
4	0.15%	0.15%	0.15%	0.73%	0.81%	0.65%
5	0.11%	0.12%	0.11%	0.63%	0.72%	0.53%
6	0.1%	0.1%	0.09%	0.54%	0.63%	0.44%
7	0.09%	0.09%	0.08%	0.46%	0.55%	0.37%
8	0.08%	0.08%	0.07%	0.39%	0.47%	0.31%
9	0.07%	0.08%	0.07%	0.34%	0.41%	0.27%
10	0.07%	0.07%	0.07%	0.3%	0.36%	0.24%
11	0.07%	0.08%	0.07%	0.27%	0.32%	0.23%
12	0.07%	0.08%	0.07%	0.26%	0.31%	0.22%
13	0.08%	0.09%	0.08%	0.26%	0.3%	0.22%
14	0.09%	0.1%	0.09%	0.27%	0.32%	0.23%
15	0.11%	0.12%	0.1%	0.29%	0.34%	0.24%
16	0.13%	0.14%	0.11%	0.32%	0.38%	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%	0.17%	0.42%	0.52%	0.31%
20	0.21%	0.24%	0.18%	0.45%	0.57%	0.32%
21	0.23%	0.27%	0.2%	0.47%	0.61%	0.33%
22	0.25%	0.29%	0.22%	0.49%	0.64%	0.34%
23	0.27%	0.31%	0.23%	0.5%	0.65%	0.35%
24	0.29%	0.33%	0.25%	0.51%	0.66%	0.36%
25	0.31%	0.35%	0.27%	0.51%	0.66%	0.37%
26	0.33%	0.37%	0.3%	0.52%	0.65%	0.38%
27	0.36%	0.4%	0.32%	0.53%	0.65%	0.4%
28	0.38%	0.42%	0.34%	0.53%	0.66%	0.41%
29	0.41%	0.45%	0.37%	0.54%	0.66%	0.42%
30	0.43%	0.48%	0.39%	0.55%	0.67%	0.43%
31	0.46%	0.51%	0.41%	0.56%	0.68%	0.44%
32	0.49%	0.54%	0.43%	0.57%	0.69%	0.45%
33	0.52%	0.58%	0.46%	0.58%	0.71%	0.46%
34	0.55%	0.62%	0.49%	0.59%	0.72%	0.47%
35	0.59%	0.66%	0.52%	0.6%	0.73%	0.48%
36	0.63%	0.7%	0.55%	0.61%	0.75%	0.5%
37	0.67%	0.75%	0.58%	0.63%	0.77%	0.51%
38	0.71%	0.8%	0.61%	0.66%	0.79%	0.54%
39	0.74%	0.84%	0.64%	0.69%	0.82%	0.56%
40	0.79%	0.9%	0.67%	0.72%	0.86%	0.59%
41	0.82%	0.94%	0.7%	0.75%	0.89%	0.61%
42	0.87%	1%	0.73%	0.77%	0.93%	0.63%
43	0.91%	1.05%	0.77%	0.8%	0.96%	0.65%
44	0.96%	1.11%	0.8%	0.82%	0.99%	0.66%
45	1.02%	1.18%	0.85%	0.84%	1.03%	0.67%
46	1.07%	1.25%	0.89%	0.87%	1.07%	0.69%
47	1.13%	1.32%	0.94%	0.9%	1.11%	0.71%
48	1.2%	1.4%	0.99%	0.95%	1.17%	0.75%
49	1.27%	1.48%	1.05%	1.01%	1.25%	0.8%
50	1.35%	1.59%	1.11%	1.07%	1.33%	0.85%
51	1.41%	1.66%	1.17%	1.14%	1.41%	0.91%
52	1.5%	1.76%	1.23%	1.22%	1.5%	0.97%
53	1.57%	1.85%	1.29%	1.29%	1.58%	1.03%
54	1.66%	1.95%	1.36%	1.35%	1.66%	1.09%
55	1.75%	2.06%	1.44%	1.42%	1.74%	1.15%
56	1.84%	2.17%	1.52%	1.5%	1.83%	1.22%
57	1.95%	2.3%	1.61%	1.59%	1.93%	1.29%
58	2.07%	2.45%	1.71%	1.7%	2.06%	1.39%
59	2.21%	2.61%	1.82%	1.83%	2.22%	1.51%
60	2.38%	2.83%	1.96%	1.98%	2.4%	1.64%
61	2.53%	2.99%	2.09%	2.16%	2.6%	1.8%
62	2.72%	3.22%	2.26%	2.36%	2.81%	1.98%
63	2.91%	3.44%	2.44%	2.56%	3.05%	2.17%
64	3.12%	3.68%	2.63%	2.79%	3.29%	2.38%
65	3.36%	3.93%	2.85%	3.02%	3.55%	2.6%
66	3.51%	4.11%	3%	3.28%	3.83%	2.85%
67	3.7%	4.31%	3.18%	3.57%	4.15%	3.12%
68	3.91%	4.55%	3.38%	3.9%	4.51%	3.43%
69	4.13%	4.79%	3.58%	4.27%	4.92%	3.78%
70	4.43%	5.12%	3.86%	4.68%	5.37%	4.17%
71	4.66%	5.38%	4.08%	5.14%	5.87%	4.59%
72	5.01%	5.77%	4.4%	5.62%	6.42%	5.04%
73	5.32%	6.12%	4.69%	6.14%	7%	5.53%
74	5.68%	6.52%	5.03%	6.69%	7.62%	6.06%
75	6.1%	6.96%	5.39%	7.3%	8.28%	6.62%
76	6.52%	7.41%	5.76%	7.95%	9.01%	7.24%
77	6.93%	7.9%	6.12%	8.67%	9.8%	7.93%
78	7.44%	8.51%	6.61%	9.47%	10.7%	8.7%
79	7.89%	9.08%	7.02%	10.4%	11.7%	9.55%
80	8.52%	9.82%	7.64%	11.3%	12.7%	10.5%
81	9.12%	10.6%	8.2%	12.4%	13.8%	11.5%
82	10.1%	11.6%	9.2%	13.5%	15%	12.6%
83	11%	12.6%	10.1%	14.7%	16.3%	13.7%
84	12%	13.8%	11.2%	15.9%	17.6%	14.9%
85	13%	14.8%	12.2%	17.2%	19%	16.1%
86	14.2%	16%	13.3%	18.5%	20.6%	17.4%
87	15.3%	17.3%	14.4%	19.9%	22.4%	18.6%
88	16.5%	18.5%	15.6%	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	22%	24.3%	20.9%	28%	33%	26.4%
93	23.5%	25.8%	22.4%	29.8%	35.2%	28.4%
94	25.1%	27.5%	24%	31.7%	37.5%	30.6%
95	26.8%	29.1%	25.8%	33.5%	39.8%	32.8%
96	28.4%	30.6%	27.4%	35.7%	41.9%	35%
97	29.9%	32.2%	28.9%	38.7%	43.8%	37.1%
98	31.3%	33.6%	30.4%	42.1%	45.5%	39.1%
99	33.2%	35.4%	32.3%	44.2%	47.1%	41%
100	34.7%	36.8%	33.8%	47.2%	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 68.7 in Kenya 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
	Kenya			South Sudan
	Total	Male	Female	Total	Male	Female
0	2,858	3,192	2,520	6,268	6,715	5,811
1	460	432	488	1,094	1,033	1,158
2	291.4	283.7	299.3	924	923	924
3	199.6	198.6	200.7	784	826	741
4	145.1	147.2	142.9	667	735	598
5	109.9	112	107.8	568	647	485
6	93.2	96.6	89.7	482	564	397
7	83.2	87.1	79.2	409	485	330
8	75	78.8	71.1	348	415	278.6
9	69.8	72.9	66.5	299.8	356	241.3
10	67.6	70.9	64.1	264.5	312	215.6
11	68.2	72.8	63.5	241.6	281.4	199.9
12	71.4	76.1	66.5	229.7	264.9	192.9
13	78	82.7	73.2	228.5	262	193.4
14	88.8	94.9	82.7	236.7	271.8	200.1
15	104.5	112.4	96.4	253	292.7	211.5
16	121.5	133.3	109.6	275.3	323	225.8
17	142.5	159.6	125.2	301	359	240.8
18	165	188	141.8	329	400	254.9
19	183.1	208.7	157.4	356	442	266.8
20	201.8	229.7	173.9	381	480	276.5
21	218	250	186.2	400	511	284.6
22	236.8	270.3	203.6	414	530	292
23	254.9	289.2	221.2	422	538	299.8
24	272.8	307	239.3	426	538	308
25	291.8	327	258.1	429	535	317
26	311	345	278.7	431	529	327
27	332	366	299.4	434	526	336
28	352	388	318	438	524	345
29	374	410	339	442	526	353
30	397	437	358	447	529	361
31	416	459	374	452	535	367
32	443	488	399	457	540	373
33	468	517	420	462	546	379
34	497	551	444	467	551	385
35	530	586	473	474	557	393
36	558	619	496	482	565	403
37	589	656	519	494	576	417
38	619	691	544	510	591	433
39	649	725	567	528	609	451
40	682	766	592	547	629	469
41	708	795	614	566	650	485
42	739	833	637	582	669	498
43	770	870	661	595	686	507
44	803	909	687	606	702	514
45	842	956	719	618	718	520
46	878	997	748	632	738	529
47	918	1,043	782	653	763	545
48	962	1,093	820	680	795	567
49	1,005	1,141	858	715	833	598
50	1,057	1,201	900	754	876	634
51	1,091	1,238	931	796	920	673
52	1,138	1,290	974	836	961	713
53	1,178	1,333	1,009	873	999	749
54	1,221	1,379	1,049	907	1,033	784
55	1,268	1,430	1,091	940	1,066	817
56	1,313	1,474	1,137	976	1,102	853
57	1,363	1,527	1,185	1,019	1,144	897
58	1,421	1,588	1,241	1,071	1,196	950
59	1,481	1,651	1,299	1,135	1,259	1,015
60	1,563	1,742	1,371	1,210	1,330	1,092
61	1,621	1,794	1,435	1,292	1,407	1,178
62	1,701	1,874	1,518	1,377	1,486	1,270
63	1,771	1,936	1,598	1,463	1,563	1,366
64	1,844	1,997	1,684	1,549	1,636	1,464
65	1,920	2,058	1,778	1,635	1,707	1,564
66	1,942	2,065	1,817	1,722	1,778	1,667
67	1,973	2,079	1,866	1,812	1,851	1,775
68	2,008	2,097	1,920	1,908	1,928	1,890
69	2,039	2,110	1,969	2,007	2,008	2,009
70	2,094	2,146	2,044	2,107	2,086	2,130
71	2,105	2,140	2,075	2,202	2,158	2,248
72	2,158	2,170	2,150	2,287	2,219	2,359
73	2,179	2,172	2,192	2,357	2,264	2,457
74	2,202	2,171	2,239	2,412	2,292	2,540
75	2,229	2,165	2,278	2,452	2,303	2,609
76	2,238	2,147	2,301	2,478	2,297	2,665
77	2,223	2,118	2,306	2,486	2,275	2,706
78	2,223	2,101	2,339	2,480	2,237	2,734
79	2,181	2,052	2,319	2,456	2,179	2,741
80	2,169	2,017	2,346	2,409	2,099	2,724
81	2,124	1,957	2,327	2,334	1,995	2,675
82	2,138	1,925	2,396	2,229	1,866	2,590
83	2,093	1,847	2,390	2,095	1,717	2,468
84	2,040	1,759	2,372	1,936	1,555	2,311
85	1,943	1,635	2,297	1,760	1,386	2,126
86	1,837	1,508	2,206	1,572	1,215	1,920
87	1,699	1,361	2,066	1,379	1,047	1,704
88	1,554	1,210	1,916	1,187	883	1,485
89	1,393	1,055	1,740	1,001	726	1,272
90	1,245	910	1,583	826	579	1,071
91	1,063	759	1,364	666	446	886
92	915	630	1,195	523	330	718
93	763	508	1,012	401	236	568
94	624	400	842	298.6	162.8	438
95	499	307	686	216	107.8	326
96	387	229.8	541	153	68.4	233.8
97	292	167.2	415	106.6	41.5	161.3
98	214.6	118.6	310	71.1	24.3	106.9
99	156.2	82.9	229.5	43.2	13.7	68.3
100	52.4	13.1	92.9	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: Statistical Insights

By topic vs comparisons:

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