Life Expectancy in Kenya vs Liechtenstein (1950-2026)

Life expectancy by current age

Chart Table

Kenya

Male

Female

Liechtenstein

Male

Female

1x

Current age, years	Total life expectancy, years
	Kenya			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	102.2	102	102.2	102.8	102.3	102.9
99	101.3	101.1	101.4	102	101.5	102.1
98	100.4	100.2	100.5	101.2	100.6	101.3
97	99.5	99.4	99.6	100.4	99.8	100.5
96	98.7	98.5	98.8	99.6	99	99.8
95	97.8	97.6	97.9	98.8	98.2	99.1
94	97	96.8	97.1	98.1	97.5	98.3
93	96.2	95.9	96.3	97.4	96.7	97.7
92	95.4	95.1	95.5	96.7	96	97
91	94.6	94.3	94.7	96	95.3	96.4
90	93.8	93.5	94	95.4	94.6	95.8
89	93	92.7	93.2	94.8	94	95.2
88	92.3	91.9	92.5	94.2	93.3	94.6
87	91.6	91.1	91.8	93.6	92.7	94.1
86	90.8	90.4	91.1	93	92.2	93.5
85	90.1	89.7	90.4	92.5	91.6	93
84	89.5	89	89.7	92	91.1	92.6
83	88.8	88.3	89.1	91.5	90.5	92.1
82	88.2	87.6	88.5	91	90.1	91.7
81	87.6	87	87.9	90.6	89.6	91.3
80	87	86.3	87.4	90.2	89.2	90.9
79	86.4	85.7	86.8	89.8	88.8	90.6
78	85.8	85.1	86.3	89.4	88.4	90.3
77	85.2	84.5	85.7	89.1	88	90
76	84.6	83.9	85.2	88.8	87.7	89.7
75	84.1	83.3	84.7	88.5	87.3	89.5
74	83.6	82.8	84.2	88.2	87	89.2
73	83	82.2	83.7	88	86.8	89
72	82.5	81.6	83.2	87.7	86.5	88.8
71	82	81.1	82.7	87.5	86.2	88.6
70	81.5	80.5	82.2	87.3	86	88.5
69	81	80	81.8	87.1	85.8	88.3
68	80.5	79.5	81.3	86.9	85.6	88.2
67	80	79	80.9	86.8	85.4	88
66	79.5	78.5	80.5	86.6	85.2	87.9
65	79.1	78	80	86.5	85	87.8
64	78.6	77.5	79.6	86.4	84.9	87.7
63	78.2	77	79.2	86.2	84.7	87.6
62	77.8	76.5	78.9	86.1	84.6	87.6
61	77.4	76.1	78.5	86	84.5	87.5
60	77	75.6	78.2	85.9	84.4	87.4
59	76.6	75.2	77.8	85.9	84.3	87.3
58	76.2	74.8	77.5	85.8	84.2	87.3
57	75.8	74.4	77.2	85.7	84.1	87.2
56	75.5	74	76.9	85.6	84	87.2
55	75.1	73.7	76.6	85.5	83.9	87.1
54	74.8	73.3	76.3	85.5	83.8	87.1
53	74.5	72.9	76	85.4	83.8	87
52	74.1	72.6	75.7	85.4	83.7	87
51	73.8	72.2	75.4	85.3	83.7	86.9
50	73.5	71.9	75.1	85.3	83.6	86.9
49	73.2	71.6	74.9	85.2	83.6	86.8
48	72.9	71.2	74.6	85.2	83.5	86.8
47	72.6	70.9	74.4	85.2	83.5	86.8
46	72.4	70.6	74.1	85.1	83.4	86.7
45	72.1	70.3	73.9	85.1	83.4	86.7
44	71.8	70.1	73.6	85.1	83.4	86.7
43	71.6	69.8	73.4	85.1	83.4	86.7
42	71.3	69.5	73.2	85	83.3	86.6
41	71.1	69.2	73	85	83.3	86.6
40	70.8	69	72.8	85	83.3	86.6
39	70.6	68.7	72.5	85	83.3	86.6
38	70.4	68.5	72.3	85	83.3	86.6
37	70.2	68.3	72.1	84.9	83.2	86.5
36	70	68.1	71.9	84.9	83.2	86.5
35	69.8	67.8	71.8	84.9	83.2	86.5
34	69.6	67.6	71.6	84.9	83.2	86.5
33	69.4	67.5	71.4	84.9	83.2	86.5
32	69.2	67.3	71.2	84.9	83.2	86.5
31	69.1	67.1	71.1	84.8	83.2	86.4
30	68.9	66.9	70.9	84.8	83.1	86.4
29	68.7	66.7	70.8	84.8	83.1	86.4
28	68.6	66.6	70.6	84.8	83.1	86.4
27	68.4	66.4	70.5	84.8	83.1	86.4
26	68.3	66.3	70.4	84.8	83.1	86.4
25	68.2	66.1	70.3	84.8	83.1	86.4
24	68	66	70.1	84.8	83.1	86.4
23	67.9	65.9	70	84.7	83.1	86.3
22	67.8	65.8	69.9	84.7	83	86.3
21	67.7	65.6	69.8	84.7	83	86.3
20	67.6	65.5	69.8	84.7	83	86.3
19	67.5	65.4	69.7	84.7	83	86.3
18	67.4	65.3	69.6	84.7	83	86.3
17	67.4	65.3	69.5	84.7	83	86.3
16	67.3	65.2	69.5	84.7	83	86.3
15	67.2	65.1	69.4	84.6	83	86.3
14	67.2	65.1	69.4	84.6	82.9	86.3
13	67.1	65	69.3	84.6	82.9	86.2
12	67.1	65	69.3	84.6	82.9	86.2
11	67.1	65	69.3	84.6	82.9	86.2
10	67	64.9	69.2	84.6	82.9	86.2
9	67	64.9	69.2	84.6	82.9	86.2
8	66.9	64.8	69.1	84.6	82.9	86.2
7	66.9	64.8	69.1	84.6	82.9	86.2
6	66.8	64.7	69	84.6	82.9	86.2
5	66.8	64.7	69	84.6	82.9	86.2
4	66.7	64.6	68.9	84.6	82.9	86.2
3	66.5	64.4	68.7	84.6	82.9	86.2
2	66.3	64.3	68.5	84.5	82.8	86.1
1	66	64	68.2	84.5	82.8	86.1
0	64.2	62	66.5	84.1	82.4	85.6

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 84.8 in Liechtenstein, rising to 79.1 and 86.5 at 65, and to 87 and 90.2 at 80 — higher than the 64.2 and 84.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Kenya

Male

Female

Liechtenstein

Male

Female

1x

Age	Survival probability
	Kenya			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	0.32%	0.15%	0.49%	4.72%	2.39%	6.58%
99	0.48%	0.24%	0.72%	6.27%	3.42%	8.63%
98	0.69%	0.36%	1.03%	8.18%	4.75%	11.1%
97	0.99%	0.53%	1.45%	10.4%	6.43%	13.9%
96	1.38%	0.76%	2%	13.1%	8.47%	17%
95	1.89%	1.07%	2.69%	16%	10.9%	20.5%
94	2.52%	1.48%	3.54%	19.3%	13.7%	24.2%
93	3.29%	1.99%	4.57%	22.9%	16.9%	28.2%
92	4.21%	2.63%	5.77%	26.6%	20.3%	32.4%
91	5.28%	3.39%	7.15%	30.5%	24.1%	36.6%
90	6.54%	4.31%	8.75%	34.6%	28%	40.9%
89	7.94%	5.38%	10.5%	38.7%	32.1%	45.1%
88	9.51%	6.6%	12.4%	42.9%	36.3%	49.3%
87	11.2%	7.98%	14.5%	47%	40.5%	53.4%
86	13.1%	9.5%	16.7%	51%	44.7%	57.3%
85	15%	11.2%	19.1%	55%	48.8%	61.1%
84	17.1%	12.9%	21.5%	58.7%	52.8%	64.8%
83	19.2%	14.8%	23.9%	62.4%	56.7%	68.2%
82	21.4%	16.7%	26.3%	65.8%	60.3%	71.3%
81	23.5%	18.7%	28.6%	68.9%	63.7%	74.2%
80	25.7%	20.7%	31%	71.8%	66.9%	76.8%
79	27.9%	22.8%	33.3%	74.5%	69.8%	79.2%
78	30.1%	24.9%	35.7%	76.9%	72.5%	81.3%
77	32.4%	27.1%	38%	79.1%	75%	83.2%
76	34.6%	29.2%	40.3%	81.1%	77.3%	84.9%
75	36.9%	31.4%	42.6%	83%	79.4%	86.4%
74	39.1%	33.6%	44.8%	84.6%	81.4%	87.7%
73	41.3%	35.8%	47%	86.1%	83.2%	88.9%
72	43.4%	37.9%	49.2%	87.4%	84.8%	90%
71	45.5%	40.1%	51.3%	88.6%	86.2%	91%
70	47.6%	42.2%	53.3%	89.7%	87.6%	91.8%
69	49.7%	44.4%	55.3%	90.7%	88.8%	92.6%
68	51.7%	46.5%	57.2%	91.6%	89.9%	93.2%
67	53.7%	48.5%	59.1%	92.3%	90.8%	93.8%
66	55.6%	50.6%	60.9%	93%	91.7%	94.3%
65	57.5%	52.7%	62.7%	93.6%	92.4%	94.8%
64	59.4%	54.7%	64.4%	94.2%	93.1%	95.2%
63	61.1%	56.6%	66%	94.6%	93.7%	95.5%
62	62.8%	58.5%	67.5%	95.1%	94.3%	95.8%
61	64.5%	60.3%	68.9%	95.4%	94.8%	96.1%
60	66%	62%	70.3%	95.8%	95.2%	96.4%
59	67.5%	63.7%	71.6%	96.1%	95.7%	96.6%
58	68.9%	65.2%	72.8%	96.4%	96%	96.8%
57	70.3%	66.8%	74%	96.7%	96.4%	97%
56	71.6%	68.2%	75.1%	96.9%	96.7%	97.2%
55	72.8%	69.7%	76.2%	97.2%	96.9%	97.4%
54	74.1%	71%	77.2%	97.3%	97.2%	97.5%
53	75.2%	72.4%	78.2%	97.5%	97.4%	97.6%
52	76.4%	73.6%	79.2%	97.7%	97.6%	97.8%
51	77.4%	74.9%	80.1%	97.8%	97.7%	97.9%
50	78.5%	76.1%	81%	97.9%	97.9%	98%
49	79.5%	77.2%	81.9%	98%	98%	98.1%
48	80.4%	78.3%	82.7%	98.2%	98.1%	98.2%
47	81.4%	79.3%	83.5%	98.2%	98.2%	98.3%
46	82.2%	80.3%	84.2%	98.3%	98.3%	98.3%
45	83.1%	81.2%	84.9%	98.4%	98.4%	98.4%
44	83.9%	82.1%	85.6%	98.5%	98.5%	98.5%
43	84.6%	83%	86.2%	98.5%	98.5%	98.5%
42	85.3%	83.8%	86.9%	98.6%	98.6%	98.6%
41	86%	84.6%	87.5%	98.6%	98.6%	98.6%
40	86.7%	85.4%	88.1%	98.7%	98.7%	98.7%
39	87.4%	86.1%	88.6%	98.7%	98.7%	98.7%
38	88%	86.8%	89.1%	98.8%	98.8%	98.8%
37	88.5%	87.4%	89.7%	98.8%	98.8%	98.8%
36	89.1%	88%	90.1%	98.8%	98.8%	98.8%
35	89.6%	88.6%	90.6%	98.9%	98.9%	98.9%
34	90.1%	89.2%	91%	98.9%	98.9%	98.9%
33	90.6%	89.7%	91.5%	98.9%	98.9%	98.9%
32	91%	90.1%	91.9%	98.9%	98.9%	98.9%
31	91.4%	90.6%	92.2%	99%	99%	99%
30	91.8%	91%	92.6%	99%	99%	99%
29	92.2%	91.4%	92.9%	99%	99%	99%
28	92.5%	91.8%	93.2%	99%	99%	99%
27	92.8%	92.2%	93.5%	99.1%	99.1%	99.1%
26	93.1%	92.5%	93.8%	99.1%	99.1%	99.1%
25	93.4%	92.8%	94%	99.1%	99.1%	99.1%
24	93.7%	93.1%	94.3%	99.1%	99.1%	99.1%
23	94%	93.4%	94.5%	99.1%	99.1%	99.1%
22	94.2%	93.7%	94.7%	99.2%	99.2%	99.2%
21	94.4%	93.9%	94.9%	99.2%	99.2%	99.2%
20	94.6%	94.2%	95%	99.2%	99.2%	99.2%
19	94.8%	94.4%	95.2%	99.2%	99.2%	99.2%
18	94.9%	94.6%	95.3%	99.2%	99.3%	99.2%
17	95.1%	94.7%	95.5%	99.3%	99.3%	99.2%
16	95.2%	94.8%	95.6%	99.3%	99.3%	99.3%
15	95.3%	95%	95.7%	99.3%	99.3%	99.3%
14	95.4%	95%	95.7%	99.3%	99.3%	99.3%
13	95.5%	95.1%	95.8%	99.3%	99.3%	99.3%
12	95.5%	95.2%	95.9%	99.3%	99.3%	99.3%
11	95.6%	95.3%	95.9%	99.3%	99.3%	99.3%
10	95.7%	95.3%	96%	99.3%	99.4%	99.3%
9	95.7%	95.4%	96.1%	99.3%	99.4%	99.3%
8	95.8%	95.5%	96.1%	99.3%	99.4%	99.3%
7	95.9%	95.6%	96.2%	99.4%	99.4%	99.3%
6	96%	95.7%	96.3%	99.4%	99.4%	99.3%
5	96.1%	95.8%	96.4%	99.4%	99.4%	99.4%
4	96.2%	95.9%	96.5%	99.4%	99.4%	99.4%
3	96.4%	96.1%	96.7%	99.4%	99.4%	99.4%
2	96.7%	96.4%	97%	99.4%	99.5%	99.4%
1	97.2%	96.8%	97.5%	99.5%	99.5%	99.5%

This chart shows the odds of living to each age from birth. 66% of newborns in Kenya and 95.8% in Liechtenstein are expected to live past 60, 47.6% and 89.7% past 70, 25.7% and 71.8% past 80, and only 6.54% and 34.6% 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

Liechtenstein

Male

Female

1x

Age	Probability of dying
	Kenya			Liechtenstein
	Average	Male	Female	Average	Male	Female
100	34.7%	36.8%	33.8%	26.4%	32%	25.3%
99	33.2%	35.4%	32.3%	24.8%	30%	23.7%
98	31.3%	33.6%	30.4%	23.3%	28%	21.9%
97	29.9%	32.1%	28.9%	21.7%	26.1%	20.2%
96	28.3%	30.6%	27.4%	20%	24.1%	18.6%
95	26.7%	29.1%	25.8%	18.6%	22.3%	17%
94	25.1%	27.5%	24%	17.1%	20.4%	15.5%
93	23.4%	25.8%	22.4%	15.4%	18.7%	14.1%
92	21.9%	24.3%	20.9%	14%	17.1%	12.8%
91	20.3%	22.6%	19.3%	12.9%	15.5%	11.6%
90	19.2%	21.3%	18.3%	11.8%	14.1%	10.4%
89	17.7%	19.8%	16.7%	10.7%	12.8%	9.41%
88	16.5%	18.5%	15.5%	9.63%	11.5%	8.48%
87	15.3%	17.2%	14.3%	8.72%	10.4%	7.65%
86	14.2%	16%	13.3%	7.97%	9.39%	6.9%
85	13%	14.8%	12.2%	7.15%	8.44%	6.22%
84	12%	13.7%	11.1%	6.41%	7.57%	5.58%
83	11%	12.6%	10.1%	5.8%	6.77%	4.99%
82	10.1%	11.6%	9.19%	5.19%	6.04%	4.43%
81	9.13%	10.5%	8.19%	4.58%	5.36%	3.9%
80	8.53%	9.8%	7.62%	4.06%	4.76%	3.42%
79	7.9%	9.07%	7.01%	3.57%	4.22%	2.98%
78	7.44%	8.49%	6.6%	3.14%	3.74%	2.6%
77	6.92%	7.88%	6.11%	2.79%	3.33%	2.26%
76	6.48%	7.39%	5.74%	2.48%	2.97%	1.98%
75	6.05%	6.94%	5.37%	2.2%	2.65%	1.74%
74	5.66%	6.5%	5.01%	1.93%	2.38%	1.53%
73	5.3%	6.1%	4.68%	1.71%	2.13%	1.35%
72	4.99%	5.75%	4.38%	1.54%	1.91%	1.19%
71	4.64%	5.36%	4.06%	1.37%	1.71%	1.05%
70	4.41%	5.1%	3.84%	1.22%	1.52%	0.93%
69	4.11%	4.77%	3.57%	1.08%	1.35%	0.82%
68	3.89%	4.52%	3.36%	0.95%	1.2%	0.71%
67	3.68%	4.29%	3.16%	0.83%	1.06%	0.62%
66	3.5%	4.08%	2.98%	0.73%	0.93%	0.54%
65	3.34%	3.91%	2.83%	0.64%	0.82%	0.47%
64	3.11%	3.65%	2.61%	0.57%	0.73%	0.41%
63	2.9%	3.42%	2.42%	0.51%	0.65%	0.36%
62	2.7%	3.2%	2.25%	0.45%	0.59%	0.32%
61	2.51%	2.97%	2.08%	0.41%	0.53%	0.29%
60	2.36%	2.81%	1.94%	0.37%	0.48%	0.27%
59	2.19%	2.59%	1.81%	0.34%	0.44%	0.24%
58	2.05%	2.43%	1.7%	0.3%	0.39%	0.22%
57	1.93%	2.28%	1.59%	0.28%	0.35%	0.2%
56	1.83%	2.15%	1.51%	0.25%	0.31%	0.19%
55	1.73%	2.05%	1.42%	0.22%	0.27%	0.17%
54	1.64%	1.93%	1.35%	0.2%	0.24%	0.16%
53	1.56%	1.83%	1.28%	0.17%	0.21%	0.14%
52	1.48%	1.74%	1.22%	0.16%	0.19%	0.13%
51	1.4%	1.64%	1.15%	0.14%	0.17%	0.12%
50	1.34%	1.57%	1.1%	0.13%	0.15%	0.11%
49	1.25%	1.47%	1.04%	0.12%	0.13%	0.1%
48	1.19%	1.38%	0.98%	0.11%	0.12%	0.09%
47	1.12%	1.3%	0.93%	0.1%	0.11%	0.09%
46	1.06%	1.23%	0.88%	0.09%	0.09%	0.08%
45	1%	1.17%	0.84%	0.08%	0.08%	0.07%
44	0.95%	1.1%	0.79%	0.07%	0.07%	0.06%
43	0.9%	1.04%	0.76%	0.06%	0.06%	0.06%
42	0.86%	0.98%	0.72%	0.05%	0.06%	0.05%
41	0.81%	0.93%	0.69%	0.05%	0.05%	0.05%
40	0.78%	0.89%	0.66%	0.05%	0.05%	0.05%
39	0.73%	0.83%	0.63%	0.04%	0.04%	0.04%
38	0.69%	0.79%	0.6%	0.04%	0.04%	0.04%
37	0.65%	0.74%	0.57%	0.04%	0.03%	0.04%
36	0.62%	0.69%	0.54%	0.03%	0.03%	0.03%
35	0.58%	0.65%	0.51%	0.03%	0.03%	0.03%
34	0.54%	0.61%	0.48%	0.03%	0.03%	0.03%
33	0.51%	0.57%	0.45%	0.03%	0.03%	0.03%
32	0.48%	0.53%	0.43%	0.03%	0.03%	0.03%
31	0.45%	0.5%	0.4%	0.03%	0.02%	0.03%
30	0.42%	0.47%	0.38%	0.02%	0.02%	0.03%
29	0.4%	0.44%	0.36%	0.02%	0.02%	0.02%
28	0.37%	0.42%	0.33%	0.02%	0.02%	0.02%
27	0.35%	0.39%	0.31%	0.02%	0.02%	0.02%
26	0.33%	0.37%	0.29%	0.02%	0.02%	0.02%
25	0.31%	0.35%	0.27%	0.02%	0.02%	0.02%
24	0.29%	0.32%	0.25%	0.02%	0.02%	0.02%
23	0.27%	0.31%	0.23%	0.02%	0.02%	0.02%
22	0.25%	0.28%	0.21%	0.02%	0.03%	0.02%
21	0.23%	0.26%	0.19%	0.02%	0.02%	0.02%
20	0.21%	0.24%	0.18%	0.02%	0.02%	0.02%
19	0.19%	0.22%	0.16%	0.02%	0.02%	0.02%
18	0.17%	0.2%	0.15%	0.02%	0.02%	0.01%
17	0.15%	0.17%	0.13%	0.02%	0.02%	0.01%
16	0.13%	0.14%	0.11%	0.01%	0.02%	0.01%
15	0.11%	0.12%	0.1%	0.01%	0.01%	0.01%
14	0.09%	0.1%	0.08%	0.01%	0.01%	0.009%
13	0.08%	0.09%	0.08%	0.009%	0.009%	0.008%
12	0.07%	0.08%	0.07%	0.008%	0.008%	0.008%
11	0.07%	0.08%	0.07%	0.008%	0.008%	0.007%
10	0.07%	0.07%	0.07%	0.008%	0.008%	0.007%
9	0.07%	0.08%	0.07%	0.008%	0.008%	0.008%
8	0.08%	0.08%	0.07%	0.009%	0.009%	0.008%
7	0.09%	0.09%	0.08%	0.01%	0.01%	0.01%
6	0.1%	0.1%	0.09%	0.01%	0.01%	0.01%
5	0.11%	0.12%	0.11%	0.01%	0.01%	0.01%
4	0.15%	0.15%	0.15%	0.02%	0.01%	0.02%
3	0.21%	0.21%	0.2%	0.02%	0.02%	0.02%
2	0.3%	0.29%	0.3%	0.02%	0.02%	0.03%
1	0.47%	0.44%	0.49%	0.03%	0.02%	0.04%
0	2.82%	3.15%	2.48%	0.53%	0.53%	0.54%

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

The annual chance of dying is 2.82% in the birth year in Kenya and 0.53% in Liechtenstein, 0.42% vs 0.02% at age 30, 2.36% vs 0.37% at 60, and 8.53% vs 4.06% at 80.

Death rate by age in Kenya vs Liechtenstein

Chart Table

Kenya

Male

Female

Liechtenstein

Male

Female

1x

Age	Death rate
	Kenya			Liechtenstein
	Total	Male	Female	Total	Male	Female
100	53.6	13.4	94.3	1,195	648	1,703
99	158.4	84	232.3	1,554	1,027	2,048
98	217.5	120.1	313	1,907	1,332	2,424
97	295.7	169.3	419	2,268	1,676	2,798
96	392	232.6	547	2,609	2,045	3,155
95	505	311	693	2,987	2,426	3,481
94	631	405	851	3,302	2,801	3,761
93	771	514	1,023	3,522	3,153	3,985
92	923	638	1,207	3,723	3,469	4,144
91	1,072	767	1,378	3,939	3,735	4,237
90	1,255	920	1,598	4,072	3,945	4,268
89	1,403	1,066	1,756	4,145	4,096	4,245
88	1,565	1,223	1,933	4,129	4,186	4,181
87	1,711	1,375	2,084	4,097	4,218	4,082
86	1,852	1,523	2,224	4,069	4,195	3,956
85	1,959	1,651	2,316	3,929	4,121	3,801
84	2,058	1,776	2,391	3,763	4,000	3,617
83	2,113	1,864	2,409	3,617	3,837	3,402
82	2,159	1,941	2,415	3,410	3,639	3,159
81	2,146	1,973	2,345	3,159	3,417	2,895
80	2,192	2,033	2,362	2,916	3,182	2,625
79	2,204	2,068	2,335	2,660	2,945	2,359
78	2,244	2,116	2,353	2,417	2,714	2,110
77	2,240	2,132	2,320	2,207	2,497	1,883
76	2,243	2,160	2,313	2,009	2,294	1,681
75	2,230	2,178	2,289	1,827	2,107	1,501
74	2,212	2,183	2,248	1,637	1,933	1,343
73	2,188	2,182	2,200	1,470	1,771	1,201
72	2,166	2,180	2,156	1,347	1,618	1,074
71	2,112	2,148	2,080	1,214	1,472	958
70	2,099	2,153	2,048	1,091	1,334	852
69	2,043	2,116	1,972	980	1,202	755
68	2,012	2,102	1,922	869	1,078	665
67	1,976	2,083	1,867	767	962	583
66	1,944	2,067	1,816	682	857	510
65	1,921	2,060	1,776	602	762	446
64	1,844	1,998	1,682	536	680	392
63	1,770	1,935	1,595	478	611	347
62	1,699	1,873	1,515	426	552	310
61	1,618	1,792	1,432	392	503	280.9
60	1,560	1,739	1,366	358	459	256.3
59	1,477	1,648	1,294	324	418	235.3
58	1,416	1,584	1,236	294.1	379	216.4
57	1,358	1,522	1,180	267.7	340	198.6
56	1,307	1,469	1,132	245.6	302	181.8
55	1,262	1,425	1,085	217.6	266.1	165.9
54	1,215	1,373	1,042	190.4	233.9	151.4
53	1,171	1,326	1,002	170.4	206	138.3
52	1,132	1,283	967	154.3	182.4	126.8
51	1,084	1,231	924	139	162.5	116.7
50	1,049	1,193	892	126.5	145.6	107.6
49	997	1,133	850	115.9	130.6	99.2
48	954	1,084	811	104.2	116.8	91.3
47	910	1,034	774	93.6	103.8	83.6
46	869	988	739	84	91.7	76.2
45	834	947	710	75.1	80.6	69.2
44	794	900	679	67	70.7	62.8
43	761	861	653	59.6	62.2	57.2
42	730	824	628	53.6	55.1	52.3
41	699	786	605	48.7	49.3	48.1
40	673	757	584	44.5	44.5	44.6
39	639	716	559	41.1	40.5	41.5
38	610	682	536	38.1	37.3	38.8
37	580	647	511	35.4	34.5	36.4
36	549	611	487	33.1	32.1	34.2
35	521	578	464	31.1	30.1	32.1
34	489	543	436	29.3	28.4	30.3
33	461	510	412	27.8	26.9	28.6
32	435	481	391	26.4	25.6	27.2
31	409	452	367	25.2	24.6	25.9
30	390	431	351	24.3	23.8	24.8
29	367	404	332	23.6	23.3	23.9
28	346	382	311	23	23.1	23
27	326	361	293.5	22.6	23.1	22.2
26	306	340	273.1	22.3	23.3	21.4
25	287	322	252.9	22.2	23.7	20.6
24	268.3	303	234.5	22	24.1	19.8
23	250.7	285.1	216.8	21.8	24.6	19
22	232.9	266.5	199.6	21.6	24.8	18.2
21	214.5	246.6	182.5	21	24.7	17.3
20	198.6	226.6	170.5	20.1	24	16.4
19	180.2	205.8	154.3	19.1	22.5	15.3
18	162.4	185.4	139	17.5	20.4	14
17	140.3	157.5	122.8	15.5	17.8	12.7
16	119.7	131.5	107.6	13.3	15	11.4
15	102.9	111	94.6	11.4	12.5	10.1
14	87.5	93.7	81.2	9.8	10.5	9.02
13	76.9	81.8	72	8.67	9.11	8.18
12	70.4	75.3	65.4	7.95	8.24	7.6
11	67.3	72.1	62.5	7.62	7.86	7.31
10	66.7	70.3	63.1	7.63	7.91	7.31
9	69	72.4	65.5	7.99	8.32	7.63
8	74.2	78.3	70.1	8.7	9.05	8.33
7	82.4	86.7	78.1	9.77	10	9.49
6	92.5	96.3	88.6	11.2	11.2	11.2
5	109.2	111.8	106.5	13.2	12.6	13.8
4	144	146.8	141.1	15.6	14.1	17.5
3	197.9	197.7	198	18.8	15.7	22.5
2	288.3	281.8	294.8	23	17.4	29.4
1	454	428	480	28.2	19.4	38.6
0	2,818	3,154	2,478	533	527	541

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 89 in Liechtenstein. The median age of death is 68.8 in Kenya and 86.3 in Liechtenstein, 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 Liechtenstein more than their death rates.

Life expectancy in other countries

+ -

1x