Life Expectancy in Kenya vs Mauritius (1950-2026)

Life expectancy by current age

Chart Table

Kenya

Male

Female

Mauritius

Male

Female

1x

Current age, years	Total life expectancy, years
	Kenya			Mauritius
	Average	Male	Female	Average	Male	Female
100	102.2	102	102.2	102.6	102.3	102.7
99	101.3	101.1	101.4	101.7	101.5	101.8
98	100.4	100.2	100.5	100.9	100.7	101
97	99.5	99.4	99.6	100.1	99.9	100.1
96	98.7	98.5	98.8	99.2	99.1	99.3
95	97.8	97.6	97.9	98.4	98.2	98.5
94	97	96.8	97.1	97.7	97.4	97.8
93	96.2	95.9	96.3	96.9	96.6	97
92	95.4	95.1	95.5	96.1	95.9	96.3
91	94.6	94.3	94.7	95.4	95.1	95.6
90	93.8	93.5	94	94.7	94.3	94.9
89	93	92.7	93.2	94	93.6	94.2
88	92.3	91.9	92.5	93.3	92.9	93.5
87	91.6	91.1	91.8	92.6	92.1	92.9
86	90.8	90.4	91.1	91.9	91.4	92.2
85	90.1	89.7	90.4	91.3	90.8	91.7
84	89.5	89	89.7	90.7	90.1	91.1
83	88.8	88.3	89.1	90.1	89.5	90.6
82	88.2	87.6	88.5	89.6	88.9	90.1
81	87.6	87	87.9	89.1	88.3	89.6
80	87	86.3	87.4	88.5	87.7	89.1
79	86.4	85.7	86.8	88	87.2	88.7
78	85.8	85.1	86.3	87.5	86.6	88.2
77	85.2	84.5	85.7	87	86.1	87.8
76	84.6	83.9	85.2	86.6	85.6	87.4
75	84.1	83.3	84.7	86.1	85.1	87
74	83.6	82.8	84.2	85.7	84.6	86.6
73	83	82.2	83.7	85.3	84.2	86.2
72	82.5	81.6	83.2	84.9	83.7	85.9
71	82	81.1	82.7	84.5	83.3	85.6
70	81.5	80.5	82.2	84.1	82.9	85.2
69	81	80	81.8	83.8	82.5	84.9
68	80.5	79.5	81.3	83.4	82.1	84.7
67	80	79	80.9	83.1	81.7	84.4
66	79.5	78.5	80.5	82.8	81.3	84.1
65	79.1	78	80	82.4	80.9	83.9
64	78.6	77.5	79.6	82.1	80.5	83.7
63	78.2	77	79.2	81.9	80.2	83.4
62	77.8	76.5	78.9	81.6	79.9	83.2
61	77.4	76.1	78.5	81.3	79.6	83
60	77	75.6	78.2	81.1	79.3	82.9
59	76.6	75.2	77.8	80.9	79	82.7
58	76.2	74.8	77.5	80.7	78.7	82.5
57	75.8	74.4	77.2	80.4	78.5	82.4
56	75.5	74	76.9	80.2	78.3	82.2
55	75.1	73.7	76.6	80	78	82.1
54	74.8	73.3	76.3	79.9	77.8	81.9
53	74.5	72.9	76	79.7	77.6	81.8
52	74.1	72.6	75.7	79.5	77.3	81.7
51	73.8	72.2	75.4	79.3	77.1	81.6
50	73.5	71.9	75.1	79.2	76.9	81.5
49	73.2	71.6	74.9	79	76.7	81.4
48	72.9	71.2	74.6	78.9	76.5	81.2
47	72.6	70.9	74.4	78.7	76.4	81.1
46	72.4	70.6	74.1	78.6	76.2	81
45	72.1	70.3	73.9	78.5	76.1	81
44	71.8	70.1	73.6	78.3	75.9	80.9
43	71.6	69.8	73.4	78.2	75.8	80.8
42	71.3	69.5	73.2	78.1	75.7	80.7
41	71.1	69.2	73	78	75.5	80.6
40	70.8	69	72.8	77.9	75.4	80.6
39	70.6	68.7	72.5	77.8	75.3	80.5
38	70.4	68.5	72.3	77.7	75.2	80.5
37	70.2	68.3	72.1	77.7	75.1	80.4
36	70	68.1	71.9	77.6	75	80.4
35	69.8	67.8	71.8	77.5	74.9	80.3
34	69.6	67.6	71.6	77.4	74.8	80.3
33	69.4	67.5	71.4	77.4	74.7	80.2
32	69.2	67.3	71.2	77.3	74.6	80.2
31	69.1	67.1	71.1	77.2	74.5	80.1
30	68.9	66.9	70.9	77.2	74.5	80.1
29	68.7	66.7	70.8	77.1	74.4	80.1
28	68.6	66.6	70.6	77.1	74.3	80
27	68.4	66.4	70.5	77	74.2	80
26	68.3	66.3	70.4	77	74.2	80
25	68.2	66.1	70.3	76.9	74.1	79.9
24	68	66	70.1	76.9	74	79.9
23	67.9	65.9	70	76.8	74	79.9
22	67.8	65.8	69.9	76.8	73.9	79.8
21	67.7	65.6	69.8	76.7	73.8	79.8
20	67.6	65.5	69.8	76.7	73.8	79.8
19	67.5	65.4	69.7	76.6	73.7	79.8
18	67.4	65.3	69.6	76.6	73.7	79.7
17	67.4	65.3	69.5	76.6	73.6	79.7
16	67.3	65.2	69.5	76.5	73.6	79.7
15	67.2	65.1	69.4	76.5	73.6	79.7
14	67.2	65.1	69.4	76.5	73.6	79.7
13	67.1	65	69.3	76.5	73.5	79.6
12	67.1	65	69.3	76.5	73.5	79.6
11	67.1	65	69.3	76.5	73.5	79.6
10	67	64.9	69.2	76.4	73.5	79.6
9	67	64.9	69.2	76.4	73.5	79.6
8	66.9	64.8	69.1	76.4	73.5	79.6
7	66.9	64.8	69.1	76.4	73.5	79.6
6	66.8	64.7	69	76.4	73.5	79.6
5	66.8	64.7	69	76.4	73.4	79.6
4	66.7	64.6	68.9	76.4	73.4	79.6
3	66.5	64.4	68.7	76.4	73.4	79.5
2	66.3	64.3	68.5	76.3	73.4	79.5
1	66	64	68.2	76.3	73.3	79.5
0	64.2	62	66.5	75.4	72.5	78.6

Life expectancy is often mistaken for the average lifespan of an adult. However, an adult has already survived the causes of early-age mortality and can expect to live longer than the figure calculated at birth.

A 30-year-old in Kenya can expect to live to 68.9 years compared to 77.2 in Mauritius, rising to 79.1 and 82.4 at 65, and to 87 and 88.5 at 80 — higher than the 64.2 and 75.4 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Kenya and Mauritius.

Probability of surviving to a given age

Chart Table

Kenya

Male

Female

Mauritius

Male

Female

1x

Age	Survival probability
	Kenya			Mauritius
	Average	Male	Female	Average	Male	Female
100	0.32%	0.15%	0.49%	1.64%	0.95%	2.4%
99	0.48%	0.24%	0.72%	2.28%	1.33%	3.29%
98	0.69%	0.36%	1.03%	3.08%	1.83%	4.42%
97	0.99%	0.53%	1.45%	4.08%	2.47%	5.81%
96	1.38%	0.76%	2%	5.29%	3.26%	7.46%
95	1.89%	1.07%	2.69%	6.73%	4.23%	9.4%
94	2.52%	1.48%	3.54%	8.39%	5.38%	11.6%
93	3.29%	1.99%	4.57%	10.3%	6.74%	14.1%
92	4.21%	2.63%	5.77%	12.4%	8.3%	16.8%
91	5.28%	3.39%	7.15%	14.7%	10.1%	19.8%
90	6.54%	4.31%	8.75%	17.3%	12.1%	23%
89	7.94%	5.38%	10.5%	20.1%	14.3%	26.4%
88	9.51%	6.6%	12.4%	23%	16.7%	29.9%
87	11.2%	7.98%	14.5%	26.1%	19.3%	33.5%
86	13.1%	9.5%	16.7%	29.3%	22%	37.1%
85	15%	11.2%	19.1%	32.4%	24.8%	40.6%
84	17.1%	12.9%	21.5%	35.5%	27.6%	44%
83	19.2%	14.8%	23.9%	38.6%	30.4%	47.3%
82	21.4%	16.7%	26.3%	41.6%	33.3%	50.4%
81	23.5%	18.7%	28.6%	44.5%	36.2%	53.4%
80	25.7%	20.7%	31%	47.4%	39.1%	56.3%
79	27.9%	22.8%	33.3%	50.2%	42%	59.1%
78	30.1%	24.9%	35.7%	53%	44.8%	61.8%
77	32.4%	27.1%	38%	55.7%	47.6%	64.4%
76	34.6%	29.2%	40.3%	58.3%	50.4%	66.9%
75	36.9%	31.4%	42.6%	60.7%	53%	69.2%
74	39.1%	33.6%	44.8%	63.1%	55.4%	71.3%
73	41.3%	35.8%	47%	65.3%	57.8%	73.4%
72	43.4%	37.9%	49.2%	67.4%	60%	75.3%
71	45.5%	40.1%	51.3%	69.3%	62.2%	77.1%
70	47.6%	42.2%	53.3%	71.2%	64.3%	78.7%
69	49.7%	44.4%	55.3%	73%	66.3%	80.3%
68	51.7%	46.5%	57.2%	74.7%	68.3%	81.7%
67	53.7%	48.5%	59.1%	76.4%	70.2%	83%
66	55.6%	50.6%	60.9%	77.9%	72%	84.2%
65	57.5%	52.7%	62.7%	79.4%	73.8%	85.3%
64	59.4%	54.7%	64.4%	80.7%	75.4%	86.4%
63	61.1%	56.6%	66%	81.9%	77%	87.3%
62	62.8%	58.5%	67.5%	83.1%	78.4%	88.1%
61	64.5%	60.3%	68.9%	84.2%	79.8%	88.9%
60	66%	62%	70.3%	85.1%	81%	89.6%
59	67.5%	63.7%	71.6%	86%	82.1%	90.3%
58	68.9%	65.2%	72.8%	86.9%	83.2%	90.9%
57	70.3%	66.8%	74%	87.7%	84.1%	91.5%
56	71.6%	68.2%	75.1%	88.4%	85.1%	92%
55	72.8%	69.7%	76.2%	89.1%	86%	92.5%
54	74.1%	71%	77.2%	89.8%	86.8%	93%
53	75.2%	72.4%	78.2%	90.4%	87.7%	93.4%
52	76.4%	73.6%	79.2%	91%	88.4%	93.8%
51	77.4%	74.9%	80.1%	91.6%	89.2%	94.2%
50	78.5%	76.1%	81%	92.1%	89.9%	94.5%
49	79.5%	77.2%	81.9%	92.6%	90.5%	94.8%
48	80.4%	78.3%	82.7%	93%	91.1%	95.1%
47	81.4%	79.3%	83.5%	93.4%	91.6%	95.4%
46	82.2%	80.3%	84.2%	93.8%	92.1%	95.7%
45	83.1%	81.2%	84.9%	94.2%	92.6%	95.9%
44	83.9%	82.1%	85.6%	94.5%	93%	96.2%
43	84.6%	83%	86.2%	94.8%	93.4%	96.4%
42	85.3%	83.8%	86.9%	95.1%	93.7%	96.6%
41	86%	84.6%	87.5%	95.4%	94.1%	96.8%
40	86.7%	85.4%	88.1%	95.6%	94.4%	96.9%
39	87.4%	86.1%	88.6%	95.9%	94.7%	97.1%
38	88%	86.8%	89.1%	96.1%	95%	97.2%
37	88.5%	87.4%	89.7%	96.3%	95.3%	97.3%
36	89.1%	88%	90.1%	96.5%	95.6%	97.4%
35	89.6%	88.6%	90.6%	96.6%	95.8%	97.5%
34	90.1%	89.2%	91%	96.8%	96%	97.6%
33	90.6%	89.7%	91.5%	96.9%	96.2%	97.7%
32	91%	90.1%	91.9%	97.1%	96.4%	97.8%
31	91.4%	90.6%	92.2%	97.2%	96.6%	97.9%
30	91.8%	91%	92.6%	97.3%	96.7%	97.9%
29	92.2%	91.4%	92.9%	97.5%	96.9%	98%
28	92.5%	91.8%	93.2%	97.6%	97.1%	98.1%
27	92.8%	92.2%	93.5%	97.7%	97.2%	98.2%
26	93.1%	92.5%	93.8%	97.8%	97.3%	98.2%
25	93.4%	92.8%	94%	97.9%	97.5%	98.3%
24	93.7%	93.1%	94.3%	98%	97.6%	98.3%
23	94%	93.4%	94.5%	98.1%	97.7%	98.4%
22	94.2%	93.7%	94.7%	98.1%	97.9%	98.4%
21	94.4%	93.9%	94.9%	98.2%	98%	98.5%
20	94.6%	94.2%	95%	98.3%	98.1%	98.5%
19	94.8%	94.4%	95.2%	98.4%	98.2%	98.6%
18	94.9%	94.6%	95.3%	98.4%	98.3%	98.6%
17	95.1%	94.7%	95.5%	98.5%	98.4%	98.6%
16	95.2%	94.8%	95.6%	98.5%	98.4%	98.7%
15	95.3%	95%	95.7%	98.6%	98.5%	98.7%
14	95.4%	95%	95.7%	98.6%	98.5%	98.7%
13	95.5%	95.1%	95.8%	98.6%	98.5%	98.7%
12	95.5%	95.2%	95.9%	98.6%	98.5%	98.8%
11	95.6%	95.3%	95.9%	98.7%	98.5%	98.8%
10	95.7%	95.3%	96%	98.7%	98.6%	98.8%
9	95.7%	95.4%	96.1%	98.7%	98.6%	98.8%
8	95.8%	95.5%	96.1%	98.7%	98.6%	98.8%
7	95.9%	95.6%	96.2%	98.7%	98.6%	98.8%
6	96%	95.7%	96.3%	98.7%	98.6%	98.8%
5	96.1%	95.8%	96.4%	98.7%	98.7%	98.8%
4	96.2%	95.9%	96.5%	98.8%	98.7%	98.8%
3	96.4%	96.1%	96.7%	98.8%	98.7%	98.9%
2	96.7%	96.4%	97%	98.8%	98.8%	98.9%
1	97.2%	96.8%	97.5%	98.9%	98.8%	99%

This chart shows the odds of living to each age from birth. 66% of newborns in Kenya and 85.1% in Mauritius are expected to live past 60, 47.6% and 71.2% past 70, 25.7% and 47.4% past 80, and only 6.54% and 17.3% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Kenya

Male

Female

Mauritius

Male

Female

1x

Age	Probability of dying
	Kenya			Mauritius
	Average	Male	Female	Average	Male	Female
100	34.7%	36.8%	33.8%	29.4%	30.3%	28.9%
99	33.2%	35.4%	32.3%	27.8%	28.8%	27.3%
98	31.3%	33.6%	30.4%	26.1%	27.3%	25.5%
97	29.9%	32.1%	28.9%	24.5%	25.8%	23.8%
96	28.3%	30.6%	27.4%	22.9%	24.3%	22.2%
95	26.7%	29.1%	25.8%	21.3%	22.9%	20.6%
94	25.1%	27.5%	24%	19.8%	21.5%	19.1%
93	23.4%	25.8%	22.4%	18.4%	20.1%	17.6%
92	21.9%	24.3%	20.9%	17.1%	18.8%	16.2%
91	20.3%	22.6%	19.3%	15.9%	17.6%	15%
90	19.2%	21.3%	18.3%	14.8%	16.6%	13.9%
89	17.7%	19.8%	16.7%	13.8%	15.5%	12.8%
88	16.5%	18.5%	15.5%	12.8%	14.5%	11.8%
87	15.3%	17.2%	14.3%	11.8%	13.4%	10.7%
86	14.2%	16%	13.3%	10.7%	12.3%	9.68%
85	13%	14.8%	12.2%	9.72%	11.2%	8.67%
84	12%	13.7%	11.1%	8.77%	10.2%	7.74%
83	11%	12.6%	10.1%	7.92%	9.36%	6.92%
82	10.1%	11.6%	9.19%	7.21%	8.61%	6.22%
81	9.13%	10.5%	8.19%	6.61%	7.96%	5.64%
80	8.53%	9.8%	7.62%	6.1%	7.4%	5.15%
79	7.9%	9.07%	7.01%	5.65%	6.89%	4.73%
78	7.44%	8.49%	6.6%	5.23%	6.39%	4.35%
77	6.92%	7.88%	6.11%	4.83%	5.89%	4%
76	6.48%	7.39%	5.74%	4.43%	5.39%	3.66%
75	6.05%	6.94%	5.37%	4.04%	4.9%	3.34%
74	5.66%	6.5%	5.01%	3.69%	4.45%	3.04%
73	5.3%	6.1%	4.68%	3.37%	4.06%	2.77%
72	4.99%	5.75%	4.38%	3.09%	3.73%	2.53%
71	4.64%	5.36%	4.06%	2.85%	3.47%	2.31%
70	4.41%	5.1%	3.84%	2.65%	3.25%	2.11%
69	4.11%	4.77%	3.57%	2.47%	3.07%	1.93%
68	3.89%	4.52%	3.36%	2.3%	2.9%	1.76%
67	3.68%	4.29%	3.16%	2.14%	2.73%	1.6%
66	3.5%	4.08%	2.98%	1.97%	2.56%	1.44%
65	3.34%	3.91%	2.83%	1.82%	2.38%	1.3%
64	3.11%	3.65%	2.61%	1.67%	2.2%	1.17%
63	2.9%	3.42%	2.42%	1.52%	2.01%	1.06%
62	2.7%	3.2%	2.25%	1.39%	1.83%	0.96%
61	2.51%	2.97%	2.08%	1.26%	1.66%	0.88%
60	2.36%	2.81%	1.94%	1.15%	1.51%	0.8%
59	2.19%	2.59%	1.81%	1.05%	1.37%	0.74%
58	2.05%	2.43%	1.7%	0.97%	1.26%	0.68%
57	1.93%	2.28%	1.59%	0.9%	1.17%	0.63%
56	1.83%	2.15%	1.51%	0.84%	1.1%	0.58%
55	1.73%	2.05%	1.42%	0.79%	1.04%	0.53%
54	1.64%	1.93%	1.35%	0.74%	0.99%	0.49%
53	1.56%	1.83%	1.28%	0.7%	0.94%	0.45%
52	1.48%	1.74%	1.22%	0.65%	0.89%	0.42%
51	1.4%	1.64%	1.15%	0.61%	0.83%	0.39%
50	1.34%	1.57%	1.1%	0.57%	0.77%	0.36%
49	1.25%	1.47%	1.04%	0.53%	0.71%	0.34%
48	1.19%	1.38%	0.98%	0.48%	0.64%	0.32%
47	1.12%	1.3%	0.93%	0.45%	0.59%	0.3%
46	1.06%	1.23%	0.88%	0.41%	0.53%	0.28%
45	1%	1.17%	0.84%	0.37%	0.48%	0.26%
44	0.95%	1.1%	0.79%	0.34%	0.44%	0.24%
43	0.9%	1.04%	0.76%	0.32%	0.41%	0.22%
42	0.86%	0.98%	0.72%	0.3%	0.39%	0.2%
41	0.81%	0.93%	0.69%	0.28%	0.37%	0.18%
40	0.78%	0.89%	0.66%	0.27%	0.36%	0.16%
39	0.73%	0.83%	0.63%	0.25%	0.34%	0.15%
38	0.69%	0.79%	0.6%	0.23%	0.32%	0.13%
37	0.65%	0.74%	0.57%	0.21%	0.3%	0.12%
36	0.62%	0.69%	0.54%	0.2%	0.27%	0.11%
35	0.58%	0.65%	0.51%	0.18%	0.24%	0.1%
34	0.54%	0.61%	0.48%	0.16%	0.22%	0.1%
33	0.51%	0.57%	0.45%	0.15%	0.2%	0.09%
32	0.48%	0.53%	0.43%	0.14%	0.18%	0.09%
31	0.45%	0.5%	0.4%	0.13%	0.17%	0.08%
30	0.42%	0.47%	0.38%	0.13%	0.17%	0.08%
29	0.4%	0.44%	0.36%	0.12%	0.17%	0.07%
28	0.37%	0.42%	0.33%	0.12%	0.16%	0.07%
27	0.35%	0.39%	0.31%	0.11%	0.16%	0.07%
26	0.33%	0.37%	0.29%	0.11%	0.15%	0.06%
25	0.31%	0.35%	0.27%	0.1%	0.14%	0.06%
24	0.29%	0.32%	0.25%	0.09%	0.13%	0.06%
23	0.27%	0.31%	0.23%	0.09%	0.13%	0.05%
22	0.25%	0.28%	0.21%	0.09%	0.12%	0.05%
21	0.23%	0.26%	0.19%	0.08%	0.12%	0.05%
20	0.21%	0.24%	0.18%	0.08%	0.11%	0.04%
19	0.19%	0.22%	0.16%	0.07%	0.11%	0.04%
18	0.17%	0.2%	0.15%	0.07%	0.09%	0.04%
17	0.15%	0.17%	0.13%	0.06%	0.08%	0.03%
16	0.13%	0.14%	0.11%	0.04%	0.06%	0.03%
15	0.11%	0.12%	0.1%	0.03%	0.04%	0.03%
14	0.09%	0.1%	0.08%	0.03%	0.03%	0.02%
13	0.08%	0.09%	0.08%	0.02%	0.02%	0.02%
12	0.07%	0.08%	0.07%	0.02%	0.02%	0.02%
11	0.07%	0.08%	0.07%	0.02%	0.02%	0.01%
10	0.07%	0.07%	0.07%	0.01%	0.02%	0.01%
9	0.07%	0.08%	0.07%	0.01%	0.02%	0.01%
8	0.08%	0.08%	0.07%	0.01%	0.02%	0.009%
7	0.09%	0.09%	0.08%	0.01%	0.02%	0.01%
6	0.1%	0.1%	0.09%	0.02%	0.02%	0.01%
5	0.11%	0.12%	0.11%	0.02%	0.02%	0.01%
4	0.15%	0.15%	0.15%	0.02%	0.03%	0.02%
3	0.21%	0.21%	0.2%	0.03%	0.04%	0.03%
2	0.3%	0.29%	0.3%	0.04%	0.05%	0.04%
1	0.47%	0.44%	0.49%	0.06%	0.06%	0.06%
0	2.82%	3.15%	2.48%	1.1%	1.18%	1.02%

This chart displays the probability of dying at any given age in Kenya compared to Mauritius, as mortality rates vary throughout a lifetime.

The annual chance of dying is 2.82% in the birth year in Kenya and 1.1% in Mauritius, 0.42% vs 0.13% at age 30, 2.36% vs 1.15% at 60, and 8.53% vs 6.1% at 80.

Death rate by age in Kenya vs Mauritius

Chart Table

Kenya

Male

Female

Mauritius

Male

Female

1x

Age	Death rate
	Kenya			Mauritius
	Total	Male	Female	Total	Male	Female
100	53.6	13.4	94.3	412	218.2	619
99	158.4	84	232.3	632	384	898
98	217.5	120.1	313	805	500	1,128
97	295.7	169.3	419	999	637	1,383
96	392	232.6	547	1,212	793	1,656
95	505	311	693	1,436	967	1,937
94	631	405	851	1,664	1,155	2,212
93	771	514	1,023	1,890	1,353	2,475
92	923	638	1,207	2,118	1,561	2,730
91	1,072	767	1,378	2,346	1,777	2,974
90	1,255	920	1,598	2,569	1,998	3,197
89	1,403	1,066	1,756	2,776	2,215	3,387
88	1,565	1,223	1,933	2,952	2,414	3,526
87	1,711	1,375	2,084	3,077	2,581	3,596
86	1,852	1,523	2,224	3,142	2,703	3,591
85	1,959	1,651	2,316	3,149	2,783	3,521
84	2,058	1,776	2,391	3,114	2,828	3,408
83	2,113	1,864	2,409	3,056	2,851	3,273
82	2,159	1,941	2,415	2,996	2,867	3,139
81	2,146	1,973	2,345	2,940	2,881	3,015
80	2,192	2,033	2,362	2,890	2,891	2,902
79	2,204	2,068	2,335	2,839	2,890	2,798
78	2,244	2,116	2,353	2,774	2,864	2,691
77	2,240	2,132	2,320	2,689	2,805	2,576
76	2,243	2,160	2,313	2,581	2,712	2,448
75	2,230	2,178	2,289	2,457	2,594	2,311
74	2,212	2,183	2,248	2,326	2,467	2,171
73	2,188	2,182	2,200	2,199	2,346	2,033
72	2,166	2,180	2,156	2,082	2,241	1,902
71	2,112	2,148	2,080	1,979	2,156	1,778
70	2,099	2,153	2,048	1,888	2,089	1,661
69	2,043	2,116	1,972	1,803	2,034	1,548
68	2,012	2,102	1,922	1,718	1,979	1,436
67	1,976	2,083	1,867	1,631	1,917	1,325
66	1,944	2,067	1,816	1,538	1,843	1,215
65	1,921	2,060	1,776	1,442	1,756	1,110
64	1,844	1,998	1,682	1,345	1,658	1,013
63	1,770	1,935	1,595	1,248	1,550	926
62	1,699	1,873	1,515	1,153	1,438	849
61	1,618	1,792	1,432	1,062	1,326	780
60	1,560	1,739	1,366	979	1,221	720
59	1,477	1,648	1,294	906	1,128	667
58	1,416	1,584	1,236	842	1,050	619
57	1,358	1,522	1,180	788	987	574
56	1,307	1,469	1,132	742	937	532
55	1,262	1,425	1,085	702	896	493
54	1,215	1,373	1,042	665	860	457
53	1,171	1,326	1,002	630	825	423
52	1,132	1,283	967	595	785	393
51	1,084	1,231	924	559	740	367
50	1,049	1,193	892	523	690	344
49	997	1,133	850	487	639	323
48	954	1,084	811	451	587	305
47	910	1,034	774	416	536	287.2
46	869	988	739	383	488	270.1
45	834	947	710	353	444	252.8
44	794	900	679	326	409	234.6
43	761	861	653	303	382	215.4
42	730	824	628	284	363	195.6
41	699	786	605	267.8	349	176
40	673	757	584	253.6	338	157.6
39	639	716	559	239.3	325	141.2
38	610	682	536	223.8	309	127.2
37	580	647	511	206.5	286.3	115.8
36	549	611	487	188.4	260.4	106.8
35	521	578	464	171.2	234.3	100
34	489	543	436	156.2	210.8	94.6
33	461	510	412	143.9	191.6	90.3
32	435	481	391	134.4	177.6	86.1
31	409	452	367	127.5	168.4	81.9
30	390	431	351	122.5	163.2	77.6
29	367	404	332	118.8	160.3	73.4
28	346	382	311	114.9	156.9	69.4
27	326	361	293.5	110.1	151.8	65.6
26	306	340	273.1	104.4	144.4	62.1
25	287	322	252.9	98.4	136.3	58.9
24	268.3	303	234.5	93	129.1	55.7
23	250.7	285.1	216.8	88.5	123.8	52.6
22	232.9	266.5	199.6	84.9	119.8	49.5
21	214.5	246.6	182.5	81.5	116.5	46.6
20	198.6	226.6	170.5	77.9	112.4	43.7
19	180.2	205.8	154.3	72.8	105.4	40.9
18	162.4	185.4	139	64.9	92.8	37.8
17	140.3	157.5	122.8	54.6	75.7	34.3
16	119.7	131.5	107.6	43.5	57.1	30.5
15	102.9	111	94.6	34	41.5	26.7
14	87.5	93.7	81.2	26.6	30.1	23.2
13	76.9	81.8	72	21.4	22.9	19.9
12	70.4	75.3	65.4	17.6	18.5	16.7
11	67.3	72.1	62.5	14.9	16.1	13.7
10	66.7	70.3	63.1	13.2	15	11.3
9	69	72.4	65.5	12.4	15	9.77
8	74.2	78.3	70.1	12.5	15.9	9.22
7	82.4	86.7	78.1	13.5	17.5	9.59
6	92.5	96.3	88.6	15.4	20.1	11
5	109.2	111.8	106.5	18.5	23.7	13.7
4	144	146.8	141.1	23.5	28.7	18.4
3	197.9	197.7	198	31.1	35.7	26.4
2	288.3	281.8	294.8	42.9	45.6	40.1
1	454	428	480	61.6	59.5	63.9
0	2,818	3,154	2,478	1,101	1,178	1,021

This chart shows the number of deaths by age up to 100 for 3 cohorts of 100,000 newborns each — male, female, and both combined — illustrating how expected mortality is distributed throughout life.

In Kenya, the most common age of death is 0, compared to 85 in Mauritius. The median age of death is 68.8 in Kenya and 79.1 in Mauritius, meaning only half of each cohort is expected to live past that age.

Note that this chart does not show rates per 100,000 population, as those would be skewed by age structure differences and reflect the demographics of Kenya and Mauritius more than their death rates.

Life expectancy in other countries

+ -

1x