Life Expectancy in Kenya vs Singapore (1950-2026)

Life expectancy by current age

Chart Table

Kenya

Male

Female

Singapore

Male

Female

1x

Current age, years	Total life expectancy, years
	Kenya			Singapore
	Average	Male	Female	Average	Male	Female
100	102.2	102	102.2	102.7	102.3	102.9
99	101.3	101.1	101.4	101.9	101.5	102.1
98	100.4	100.2	100.5	101.1	100.7	101.3
97	99.5	99.4	99.6	100.3	99.9	100.5
96	98.7	98.5	98.8	99.6	99.1	99.8
95	97.8	97.6	97.9	98.8	98.3	99
94	97	96.8	97.1	98.1	97.6	98.3
93	96.2	95.9	96.3	97.4	96.8	97.7
92	95.4	95.1	95.5	96.7	96.1	97
91	94.6	94.3	94.7	96.1	95.4	96.4
90	93.8	93.5	94	95.5	94.7	95.8
89	93	92.7	93.2	94.8	94.1	95.3
88	92.3	91.9	92.5	94.3	93.5	94.7
87	91.6	91.1	91.8	93.7	92.9	94.2
86	90.8	90.4	91.1	93.2	92.3	93.7
85	90.1	89.7	90.4	92.7	91.7	93.3
84	89.5	89	89.7	92.2	91.2	92.9
83	88.8	88.3	89.1	91.7	90.7	92.5
82	88.2	87.6	88.5	91.3	90.2	92.1
81	87.6	87	87.9	90.9	89.8	91.7
80	87	86.3	87.4	90.5	89.3	91.4
79	86.4	85.7	86.8	90.1	88.9	91.1
78	85.8	85.1	86.3	89.8	88.5	90.8
77	85.2	84.5	85.7	89.5	88.1	90.5
76	84.6	83.9	85.2	89.1	87.7	90.3
75	84.1	83.3	84.7	88.8	87.4	90.1
74	83.6	82.8	84.2	88.6	87.1	89.8
73	83	82.2	83.7	88.3	86.7	89.7
72	82.5	81.6	83.2	88.1	86.4	89.5
71	82	81.1	82.7	87.8	86.1	89.3
70	81.5	80.5	82.2	87.6	85.9	89.2
69	81	80	81.8	87.4	85.6	89
68	80.5	79.5	81.3	87.2	85.4	88.9
67	80	79	80.9	87	85.2	88.7
66	79.5	78.5	80.5	86.9	85	88.6
65	79.1	78	80	86.7	84.8	88.5
64	78.6	77.5	79.6	86.6	84.6	88.4
63	78.2	77	79.2	86.4	84.4	88.3
62	77.8	76.5	78.9	86.3	84.3	88.2
61	77.4	76.1	78.5	86.2	84.1	88.1
60	77	75.6	78.2	86	84	88
59	76.6	75.2	77.8	85.9	83.8	87.9
58	76.2	74.8	77.5	85.8	83.7	87.9
57	75.8	74.4	77.2	85.7	83.6	87.8
56	75.5	74	76.9	85.6	83.5	87.7
55	75.1	73.7	76.6	85.5	83.3	87.6
54	74.8	73.3	76.3	85.4	83.2	87.6
53	74.5	72.9	76	85.4	83.2	87.5
52	74.1	72.6	75.7	85.3	83.1	87.5
51	73.8	72.2	75.4	85.2	83	87.4
50	73.5	71.9	75.1	85.2	82.9	87.4
49	73.2	71.6	74.9	85.1	82.8	87.3
48	72.9	71.2	74.6	85	82.8	87.3
47	72.6	70.9	74.4	85	82.7	87.2
46	72.4	70.6	74.1	85	82.7	87.2
45	72.1	70.3	73.9	84.9	82.6	87.2
44	71.8	70.1	73.6	84.9	82.6	87.1
43	71.6	69.8	73.4	84.8	82.5	87.1
42	71.3	69.5	73.2	84.8	82.5	87.1
41	71.1	69.2	73	84.8	82.4	87.1
40	70.8	69	72.8	84.7	82.4	87.1
39	70.6	68.7	72.5	84.7	82.4	87
38	70.4	68.5	72.3	84.7	82.4	87
37	70.2	68.3	72.1	84.7	82.3	87
36	70	68.1	71.9	84.7	82.3	87
35	69.8	67.8	71.8	84.6	82.3	87
34	69.6	67.6	71.6	84.6	82.3	87
33	69.4	67.5	71.4	84.6	82.2	87
32	69.2	67.3	71.2	84.6	82.2	86.9
31	69.1	67.1	71.1	84.6	82.2	86.9
30	68.9	66.9	70.9	84.5	82.2	86.9
29	68.7	66.7	70.8	84.5	82.2	86.9
28	68.6	66.6	70.6	84.5	82.1	86.9
27	68.4	66.4	70.5	84.5	82.1	86.9
26	68.3	66.3	70.4	84.5	82.1	86.9
25	68.2	66.1	70.3	84.5	82.1	86.9
24	68	66	70.1	84.5	82.1	86.9
23	67.9	65.9	70	84.5	82.1	86.9
22	67.8	65.8	69.9	84.4	82	86.9
21	67.7	65.6	69.8	84.4	82	86.8
20	67.6	65.5	69.8	84.4	82	86.8
19	67.5	65.4	69.7	84.4	82	86.8
18	67.4	65.3	69.6	84.4	82	86.8
17	67.4	65.3	69.5	84.4	82	86.8
16	67.3	65.2	69.5	84.4	81.9	86.8
15	67.2	65.1	69.4	84.4	81.9	86.8
14	67.2	65.1	69.4	84.3	81.9	86.8
13	67.1	65	69.3	84.3	81.9	86.8
12	67.1	65	69.3	84.3	81.9	86.8
11	67.1	65	69.3	84.3	81.9	86.8
10	67	64.9	69.2	84.3	81.9	86.8
9	67	64.9	69.2	84.3	81.9	86.8
8	66.9	64.8	69.1	84.3	81.9	86.8
7	66.9	64.8	69.1	84.3	81.9	86.8
6	66.8	64.7	69	84.3	81.9	86.8
5	66.8	64.7	69	84.3	81.9	86.8
4	66.7	64.6	68.9	84.3	81.9	86.8
3	66.5	64.4	68.7	84.3	81.9	86.7
2	66.3	64.3	68.5	84.3	81.8	86.7
1	66	64	68.2	84.3	81.8	86.7
0	64.2	62	66.5	84.1	81.7	86.6

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 84.5 in Singapore, rising to 79.1 and 86.7 at 65, and to 87 and 90.5 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 Singapore.

Probability of surviving to a given age

Chart Table

Kenya

Male

Female

Singapore

Male

Female

1x

Age	Survival probability
	Kenya			Singapore
	Average	Male	Female	Average	Male	Female
100	0.32%	0.15%	0.49%	4.99%	2.55%	7.25%
99	0.48%	0.24%	0.72%	6.71%	3.6%	9.59%
98	0.69%	0.36%	1.03%	8.78%	4.95%	12.4%
97	0.99%	0.53%	1.45%	11.2%	6.62%	15.5%
96	1.38%	0.76%	2%	14%	8.64%	19.1%
95	1.89%	1.07%	2.69%	17.1%	11%	22.9%
94	2.52%	1.48%	3.54%	20.5%	13.7%	27%
93	3.29%	1.99%	4.57%	24.2%	16.7%	31.3%
92	4.21%	2.63%	5.77%	28%	20%	35.7%
91	5.28%	3.39%	7.15%	32%	23.6%	40.2%
90	6.54%	4.31%	8.75%	36.1%	27.3%	44.6%
89	7.94%	5.38%	10.5%	40.2%	31.2%	49%
88	9.51%	6.6%	12.4%	44.2%	35.1%	53.2%
87	11.2%	7.98%	14.5%	48.2%	39%	57.2%
86	13.1%	9.5%	16.7%	52%	42.9%	61%
85	15%	11.2%	19.1%	55.6%	46.7%	64.5%
84	17.1%	12.9%	21.5%	59.1%	50.4%	67.8%
83	19.2%	14.8%	23.9%	62.4%	54%	70.9%
82	21.4%	16.7%	26.3%	65.5%	57.4%	73.7%
81	23.5%	18.7%	28.6%	68.3%	60.6%	76.3%
80	25.7%	20.7%	31%	71%	63.6%	78.6%
79	27.9%	22.8%	33.3%	73.5%	66.5%	80.7%
78	30.1%	24.9%	35.7%	75.7%	69.1%	82.6%
77	32.4%	27.1%	38%	77.8%	71.6%	84.3%
76	34.6%	29.2%	40.3%	79.8%	74%	85.8%
75	36.9%	31.4%	42.6%	81.5%	76.2%	87.1%
74	39.1%	33.6%	44.8%	83.2%	78.2%	88.3%
73	41.3%	35.8%	47%	84.6%	80.1%	89.4%
72	43.4%	37.9%	49.2%	86%	81.9%	90.3%
71	45.5%	40.1%	51.3%	87.2%	83.4%	91.2%
70	47.6%	42.2%	53.3%	88.3%	84.9%	91.9%
69	49.7%	44.4%	55.3%	89.3%	86.2%	92.6%
68	51.7%	46.5%	57.2%	90.2%	87.4%	93.2%
67	53.7%	48.5%	59.1%	91%	88.4%	93.8%
66	55.6%	50.6%	60.9%	91.8%	89.4%	94.3%
65	57.5%	52.7%	62.7%	92.4%	90.3%	94.7%
64	59.4%	54.7%	64.4%	93.1%	91.1%	95.2%
63	61.1%	56.6%	66%	93.7%	91.9%	95.6%
62	62.8%	58.5%	67.5%	94.2%	92.6%	95.9%
61	64.5%	60.3%	68.9%	94.7%	93.2%	96.2%
60	66%	62%	70.3%	95.1%	93.8%	96.5%
59	67.5%	63.7%	71.6%	95.5%	94.3%	96.8%
58	68.9%	65.2%	72.8%	95.9%	94.8%	97.1%
57	70.3%	66.8%	74%	96.3%	95.3%	97.3%
56	71.6%	68.2%	75.1%	96.6%	95.7%	97.6%
55	72.8%	69.7%	76.2%	96.9%	96%	97.8%
54	74.1%	71%	77.2%	97.1%	96.4%	98%
53	75.2%	72.4%	78.2%	97.4%	96.7%	98.1%
52	76.4%	73.6%	79.2%	97.6%	97%	98.3%
51	77.4%	74.9%	80.1%	97.8%	97.2%	98.4%
50	78.5%	76.1%	81%	98%	97.4%	98.6%
49	79.5%	77.2%	81.9%	98.1%	97.6%	98.7%
48	80.4%	78.3%	82.7%	98.3%	97.8%	98.8%
47	81.4%	79.3%	83.5%	98.4%	98%	98.9%
46	82.2%	80.3%	84.2%	98.5%	98.1%	99%
45	83.1%	81.2%	84.9%	98.6%	98.2%	99%
44	83.9%	82.1%	85.6%	98.7%	98.4%	99.1%
43	84.6%	83%	86.2%	98.8%	98.5%	99.2%
42	85.3%	83.8%	86.9%	98.9%	98.6%	99.2%
41	86%	84.6%	87.5%	98.9%	98.7%	99.3%
40	86.7%	85.4%	88.1%	99%	98.8%	99.3%
39	87.4%	86.1%	88.6%	99.1%	98.8%	99.3%
38	88%	86.8%	89.1%	99.1%	98.9%	99.4%
37	88.5%	87.4%	89.7%	99.2%	98.9%	99.4%
36	89.1%	88%	90.1%	99.2%	99%	99.4%
35	89.6%	88.6%	90.6%	99.2%	99.1%	99.5%
34	90.1%	89.2%	91%	99.3%	99.1%	99.5%
33	90.6%	89.7%	91.5%	99.3%	99.1%	99.5%
32	91%	90.1%	91.9%	99.3%	99.2%	99.5%
31	91.4%	90.6%	92.2%	99.4%	99.2%	99.5%
30	91.8%	91%	92.6%	99.4%	99.3%	99.6%
29	92.2%	91.4%	92.9%	99.4%	99.3%	99.6%
28	92.5%	91.8%	93.2%	99.5%	99.3%	99.6%
27	92.8%	92.2%	93.5%	99.5%	99.4%	99.6%
26	93.1%	92.5%	93.8%	99.5%	99.4%	99.6%
25	93.4%	92.8%	94%	99.5%	99.4%	99.6%
24	93.7%	93.1%	94.3%	99.6%	99.5%	99.7%
23	94%	93.4%	94.5%	99.6%	99.5%	99.7%
22	94.2%	93.7%	94.7%	99.6%	99.5%	99.7%
21	94.4%	93.9%	94.9%	99.6%	99.5%	99.7%
20	94.6%	94.2%	95%	99.6%	99.6%	99.7%
19	94.8%	94.4%	95.2%	99.7%	99.6%	99.7%
18	94.9%	94.6%	95.3%	99.7%	99.6%	99.7%
17	95.1%	94.7%	95.5%	99.7%	99.6%	99.7%
16	95.2%	94.8%	95.6%	99.7%	99.7%	99.8%
15	95.3%	95%	95.7%	99.7%	99.7%	99.8%
14	95.4%	95%	95.7%	99.7%	99.7%	99.8%
13	95.5%	95.1%	95.8%	99.7%	99.7%	99.8%
12	95.5%	95.2%	95.9%	99.7%	99.7%	99.8%
11	95.6%	95.3%	95.9%	99.8%	99.7%	99.8%
10	95.7%	95.3%	96%	99.8%	99.7%	99.8%
9	95.7%	95.4%	96.1%	99.8%	99.7%	99.8%
8	95.8%	95.5%	96.1%	99.8%	99.7%	99.8%
7	95.9%	95.6%	96.2%	99.8%	99.7%	99.8%
6	96%	95.7%	96.3%	99.8%	99.8%	99.8%
5	96.1%	95.8%	96.4%	99.8%	99.8%	99.8%
4	96.2%	95.9%	96.5%	99.8%	99.8%	99.8%
3	96.4%	96.1%	96.7%	99.8%	99.8%	99.8%
2	96.7%	96.4%	97%	99.8%	99.8%	99.8%
1	97.2%	96.8%	97.5%	99.8%	99.8%	99.9%

This chart shows the odds of living to each age from birth. 66% of newborns in Kenya and 95.1% in Singapore are expected to live past 60, 47.6% and 88.3% past 70, 25.7% and 71% past 80, and only 6.54% and 36.1% 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

Singapore

Male

Female

1x

Age	Probability of dying
	Kenya			Singapore
	Average	Male	Female	Average	Male	Female
100	34.7%	36.8%	33.8%	27.4%	31.2%	26.3%
99	33.2%	35.4%	32.3%	25.6%	29.3%	24.5%
98	31.3%	33.6%	30.4%	23.6%	27.2%	22.4%
97	29.9%	32.1%	28.9%	21.7%	25.3%	20.4%
96	28.3%	30.6%	27.4%	19.9%	23.3%	18.6%
95	26.7%	29.1%	25.8%	18.2%	21.4%	16.8%
94	25.1%	27.5%	24%	16.6%	19.7%	15.2%
93	23.4%	25.8%	22.4%	15.1%	18.1%	13.7%
92	21.9%	24.3%	20.9%	13.8%	16.6%	12.4%
91	20.3%	22.6%	19.3%	12.5%	15.1%	11.1%
90	19.2%	21.3%	18.3%	11.3%	13.7%	9.95%
89	17.7%	19.8%	16.7%	10.2%	12.4%	8.88%
88	16.5%	18.5%	15.5%	9.15%	11.2%	7.9%
87	15.3%	17.2%	14.3%	8.18%	10%	7.02%
86	14.2%	16%	13.3%	7.32%	9.04%	6.22%
85	13%	14.8%	12.2%	6.55%	8.13%	5.51%
84	12%	13.7%	11.1%	5.87%	7.32%	4.87%
83	11%	12.6%	10.1%	5.27%	6.58%	4.31%
82	10.1%	11.6%	9.19%	4.71%	5.91%	3.8%
81	9.13%	10.5%	8.19%	4.2%	5.31%	3.35%
80	8.53%	9.8%	7.62%	3.75%	4.77%	2.95%
79	7.9%	9.07%	7.01%	3.35%	4.29%	2.6%
78	7.44%	8.49%	6.6%	3%	3.87%	2.28%
77	6.92%	7.88%	6.11%	2.69%	3.5%	2.01%
76	6.48%	7.39%	5.74%	2.42%	3.17%	1.76%
75	6.05%	6.94%	5.37%	2.17%	2.88%	1.54%
74	5.66%	6.5%	5.01%	1.95%	2.61%	1.35%
73	5.3%	6.1%	4.68%	1.75%	2.36%	1.19%
72	4.99%	5.75%	4.38%	1.56%	2.12%	1.05%
71	4.64%	5.36%	4.06%	1.39%	1.9%	0.93%
70	4.41%	5.1%	3.84%	1.24%	1.7%	0.83%
69	4.11%	4.77%	3.57%	1.12%	1.51%	0.74%
68	3.89%	4.52%	3.36%	1%	1.35%	0.66%
67	3.68%	4.29%	3.16%	0.9%	1.21%	0.59%
66	3.5%	4.08%	2.98%	0.82%	1.09%	0.54%
65	3.34%	3.91%	2.83%	0.74%	0.99%	0.49%
64	3.11%	3.65%	2.61%	0.68%	0.9%	0.44%
63	2.9%	3.42%	2.42%	0.62%	0.82%	0.41%
62	2.7%	3.2%	2.25%	0.56%	0.75%	0.37%
61	2.51%	2.97%	2.08%	0.52%	0.68%	0.34%
60	2.36%	2.81%	1.94%	0.47%	0.62%	0.32%
59	2.19%	2.59%	1.81%	0.43%	0.57%	0.29%
58	2.05%	2.43%	1.7%	0.4%	0.52%	0.27%
57	1.93%	2.28%	1.59%	0.36%	0.47%	0.25%
56	1.83%	2.15%	1.51%	0.33%	0.43%	0.23%
55	1.73%	2.05%	1.42%	0.3%	0.39%	0.21%
54	1.64%	1.93%	1.35%	0.27%	0.35%	0.19%
53	1.56%	1.83%	1.28%	0.25%	0.31%	0.18%
52	1.48%	1.74%	1.22%	0.22%	0.28%	0.16%
51	1.4%	1.64%	1.15%	0.2%	0.25%	0.15%
50	1.34%	1.57%	1.1%	0.18%	0.23%	0.13%
49	1.25%	1.47%	1.04%	0.16%	0.2%	0.12%
48	1.19%	1.38%	0.98%	0.14%	0.18%	0.11%
47	1.12%	1.3%	0.93%	0.13%	0.16%	0.1%
46	1.06%	1.23%	0.88%	0.12%	0.15%	0.09%
45	1%	1.17%	0.84%	0.11%	0.14%	0.08%
44	0.95%	1.1%	0.79%	0.1%	0.12%	0.07%
43	0.9%	1.04%	0.76%	0.09%	0.11%	0.06%
42	0.86%	0.98%	0.72%	0.08%	0.1%	0.05%
41	0.81%	0.93%	0.69%	0.07%	0.09%	0.05%
40	0.78%	0.89%	0.66%	0.06%	0.08%	0.04%
39	0.73%	0.83%	0.63%	0.06%	0.07%	0.04%
38	0.69%	0.79%	0.6%	0.05%	0.07%	0.03%
37	0.65%	0.74%	0.57%	0.05%	0.06%	0.03%
36	0.62%	0.69%	0.54%	0.04%	0.05%	0.03%
35	0.58%	0.65%	0.51%	0.04%	0.05%	0.03%
34	0.54%	0.61%	0.48%	0.04%	0.05%	0.02%
33	0.51%	0.57%	0.45%	0.03%	0.04%	0.02%
32	0.48%	0.53%	0.43%	0.03%	0.04%	0.02%
31	0.45%	0.5%	0.4%	0.03%	0.04%	0.02%
30	0.42%	0.47%	0.38%	0.03%	0.04%	0.02%
29	0.4%	0.44%	0.36%	0.03%	0.04%	0.02%
28	0.37%	0.42%	0.33%	0.03%	0.03%	0.02%
27	0.35%	0.39%	0.31%	0.02%	0.03%	0.02%
26	0.33%	0.37%	0.29%	0.02%	0.03%	0.01%
25	0.31%	0.35%	0.27%	0.02%	0.03%	0.01%
24	0.29%	0.32%	0.25%	0.02%	0.03%	0.01%
23	0.27%	0.31%	0.23%	0.02%	0.03%	0.01%
22	0.25%	0.28%	0.21%	0.02%	0.03%	0.01%
21	0.23%	0.26%	0.19%	0.02%	0.03%	0.01%
20	0.21%	0.24%	0.18%	0.02%	0.03%	0.01%
19	0.19%	0.22%	0.16%	0.02%	0.03%	0.01%
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%	0.02%	0.02%	0.01%
15	0.11%	0.12%	0.1%	0.01%	0.02%	0.01%
14	0.09%	0.1%	0.08%	0.01%	0.01%	0.009%
13	0.08%	0.09%	0.08%	0.01%	0.01%	0.008%
12	0.07%	0.08%	0.07%	0.008%	0.01%	0.007%
11	0.07%	0.08%	0.07%	0.007%	0.008%	0.006%
10	0.07%	0.07%	0.07%	0.006%	0.007%	0.005%
9	0.07%	0.08%	0.07%	0.005%	0.006%	0.004%
8	0.08%	0.08%	0.07%	0.005%	0.006%	0.004%
7	0.09%	0.09%	0.08%	0.005%	0.006%	0.004%
6	0.1%	0.1%	0.09%	0.005%	0.006%	0.004%
5	0.11%	0.12%	0.11%	0.006%	0.007%	0.004%
4	0.15%	0.15%	0.15%	0.007%	0.008%	0.006%
3	0.21%	0.21%	0.2%	0.009%	0.01%	0.008%
2	0.3%	0.29%	0.3%	0.01%	0.01%	0.01%
1	0.47%	0.44%	0.49%	0.02%	0.02%	0.02%
0	2.82%	3.15%	2.48%	0.17%	0.19%	0.14%

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

The annual chance of dying is 2.82% in the birth year in Kenya and 0.17% in Singapore, 0.42% vs 0.03% at age 30, 2.36% vs 0.47% at 60, and 8.53% vs 3.75% at 80.

Death rate by age in Kenya vs Singapore

Chart Table

Kenya

Male

Female

Singapore

Male

Female

1x

Age	Death rate
	Kenya			Singapore
	Total	Male	Female	Total	Male	Female
100	53.6	13.4	94.3	1,375	708	2,002
99	158.4	84	232.3	1,718	1,055	2,345
98	217.5	120.1	313	2,071	1,349	2,766
97	295.7	169.3	419	2,433	1,673	3,170
96	392	232.6	547	2,786	2,015	3,537
95	505	311	693	3,109	2,358	3,843
94	631	405	851	3,402	2,698	4,098
93	771	514	1,023	3,651	3,024	4,291
92	923	638	1,207	3,852	3,319	4,419
91	1,072	767	1,378	3,998	3,565	4,473
90	1,255	920	1,598	4,078	3,743	4,442
89	1,403	1,066	1,756	4,096	3,860	4,349
88	1,565	1,223	1,933	4,046	3,920	4,204
87	1,711	1,375	2,084	3,941	3,923	4,013
86	1,852	1,523	2,224	3,806	3,881	3,793
85	1,959	1,651	2,316	3,646	3,801	3,554
84	2,058	1,776	2,391	3,470	3,689	3,306
83	2,113	1,864	2,409	3,286	3,550	3,053
82	2,159	1,941	2,415	3,084	3,390	2,802
81	2,146	1,973	2,345	2,873	3,214	2,556
80	2,192	2,033	2,362	2,666	3,031	2,319
79	2,204	2,068	2,335	2,465	2,850	2,096
78	2,244	2,116	2,353	2,274	2,675	1,886
77	2,240	2,132	2,320	2,096	2,508	1,689
76	2,243	2,160	2,313	1,927	2,348	1,508
75	2,230	2,178	2,289	1,767	2,194	1,343
74	2,212	2,183	2,248	1,619	2,043	1,196
73	2,188	2,182	2,200	1,480	1,891	1,065
72	2,166	2,180	2,156	1,345	1,738	949
71	2,112	2,148	2,080	1,215	1,586	848
70	2,099	2,153	2,048	1,098	1,439	759
69	2,043	2,116	1,972	996	1,303	682
68	2,012	2,102	1,922	905	1,180	615
67	1,976	2,083	1,867	822	1,071	557
66	1,944	2,067	1,816	749	977	506
65	1,921	2,060	1,776	685	894	462
64	1,844	1,998	1,682	628	821	423
63	1,770	1,935	1,595	578	755	389
62	1,699	1,873	1,515	532	694	359
61	1,618	1,792	1,432	489	638	331
60	1,560	1,739	1,366	450	585	307
59	1,477	1,648	1,294	413	535	284.1
58	1,416	1,584	1,236	379	490	263.2
57	1,358	1,522	1,180	347	447	243.5
56	1,307	1,469	1,132	318	408	224.9
55	1,262	1,425	1,085	290.8	371	207
54	1,215	1,373	1,042	265.1	337	189.9
53	1,171	1,326	1,002	240.5	304	173.4
52	1,132	1,283	967	217.2	273.9	157.6
51	1,084	1,231	924	195.5	245.8	142.8
50	1,049	1,193	892	175.7	220.2	128.9
49	997	1,133	850	157.8	197.6	116.1
48	954	1,084	811	142.1	178	104.5
47	910	1,034	774	128.5	161.4	94.1
46	869	988	739	116.6	147	84.6
45	834	947	710	106	134.4	75.9
44	794	900	679	96	122.6	67.8
43	761	861	653	86.6	111.5	60.1
42	730	824	628	77.7	100.6	53
41	699	786	605	69.3	90.3	46.5
40	673	757	584	61.8	80.7	40.9
39	639	716	559	55.2	72.2	36.2
38	610	682	536	49.6	65	32.4
37	580	647	511	45.2	59.1	29.6
36	549	611	487	41.8	54.3	27.4
35	521	578	464	39.1	50.5	25.8
34	489	543	436	36.7	47.3	24.4
33	461	510	412	34.7	44.5	23
32	435	481	391	32.7	41.9	21.6
31	409	452	367	30.7	39.5	20.1
30	390	431	351	28.8	37.2	18.6
29	367	404	332	27.1	35	17.2
28	346	382	311	25.6	33.2	16.1
27	326	361	293.5	24.4	31.7	15.2
26	306	340	273.1	23.5	30.6	14.6
25	287	322	252.9	22.8	29.8	14.2
24	268.3	303	234.5	22.3	29.2	13.8
23	250.7	285.1	216.8	21.9	28.8	13.5
22	232.9	266.5	199.6	21.5	28.5	13.1
21	214.5	246.6	182.5	21	28.1	12.7
20	198.6	226.6	170.5	20.3	27.5	12.1
19	180.2	205.8	154.3	19.4	26.3	11.6
18	162.4	185.4	139	18.2	24.5	11.1
17	140.3	157.5	122.8	16.7	22.3	10.7
16	119.7	131.5	107.6	15.1	19.6	10.2
15	102.9	111	94.6	13.3	16.7	9.71
14	87.5	93.7	81.2	11.6	14	8.96
13	76.9	81.8	72	9.84	11.6	7.95
12	70.4	75.3	65.4	8.25	9.63	6.8
11	67.3	72.1	62.5	6.9	8.1	5.64
10	66.7	70.3	63.1	5.86	6.99	4.67
9	69	72.4	65.5	5.15	6.29	3.97
8	74.2	78.3	70.1	4.79	5.95	3.58
7	82.4	86.7	78.1	4.75	5.96	3.5
6	92.5	96.3	88.6	5.08	6.34	3.77
5	109.2	111.8	106.5	5.83	7.13	4.47
4	144	146.8	141.1	7.11	8.39	5.79
3	197.9	197.7	198	9.12	10.2	7.97
2	288.3	281.8	294.8	12.1	12.7	11.5
1	454	428	480	16.5	15.9	17.1
0	2,818	3,154	2,478	168.8	194.6	141.6

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 Singapore. The median age of death is 68.8 in Kenya and 86.5 in Singapore, 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 Singapore more than their death rates.

Life expectancy in other countries

+ -

1x