Life Expectancy in Belgium vs Kenya (1950-2026)

Life expectancy by current age

Chart Table

Belgium

Male

Female

Kenya

Male

Female

1x

Current age, years	Total life expectancy, years
	Belgium			Kenya
	Average	Male	Female	Average	Male	Female
100	102	101.9	102	102.2	102	102.2
99	101.2	101.1	101.2	101.3	101.1	101.4
98	100.3	100.2	100.4	100.4	100.2	100.5
97	99.5	99.4	99.6	99.5	99.4	99.6
96	98.7	98.5	98.8	98.7	98.5	98.8
95	98	97.7	98	97.8	97.6	97.9
94	97.2	97	97.3	97	96.8	97.1
93	96.5	96.2	96.6	96.2	95.9	96.3
92	95.8	95.5	96	95.4	95.1	95.5
91	95.1	94.8	95.3	94.6	94.3	94.7
90	94.5	94.1	94.7	93.8	93.5	94
89	93.9	93.4	94.1	93	92.7	93.2
88	93.3	92.8	93.6	92.3	91.9	92.5
87	92.8	92.2	93.1	91.6	91.1	91.8
86	92.2	91.7	92.6	90.8	90.4	91.1
85	91.8	91.1	92.2	90.1	89.7	90.4
84	91.3	90.6	91.7	89.5	89	89.7
83	90.9	90.1	91.4	88.8	88.3	89.1
82	90.5	89.7	91	88.2	87.6	88.5
81	90.1	89.2	90.7	87.6	87	87.9
80	89.7	88.8	90.4	87	86.3	87.4
79	89.4	88.4	90.1	86.4	85.7	86.8
78	89.1	88.1	89.8	85.8	85.1	86.3
77	88.8	87.7	89.6	85.2	84.5	85.7
76	88.5	87.4	89.3	84.6	83.9	85.2
75	88.2	87	89.1	84.1	83.3	84.7
74	87.9	86.7	88.9	83.6	82.8	84.2
73	87.6	86.4	88.7	83	82.2	83.7
72	87.4	86.1	88.5	82.5	81.6	83.2
71	87.1	85.8	88.3	82	81.1	82.7
70	86.9	85.5	88.1	81.5	80.5	82.2
69	86.7	85.3	87.9	81	80	81.8
68	86.5	85	87.8	80.5	79.5	81.3
67	86.3	84.8	87.6	80	79	80.9
66	86.1	84.5	87.5	79.5	78.5	80.5
65	85.9	84.3	87.3	79.1	78	80
64	85.7	84.1	87.2	78.6	77.5	79.6
63	85.5	83.9	87	78.2	77	79.2
62	85.3	83.7	86.9	77.8	76.5	78.9
61	85.2	83.5	86.7	77.4	76.1	78.5
60	85	83.3	86.6	77	75.6	78.2
59	84.9	83.2	86.5	76.6	75.2	77.8
58	84.8	83	86.4	76.2	74.8	77.5
57	84.6	82.9	86.3	75.8	74.4	77.2
56	84.5	82.7	86.2	75.5	74	76.9
55	84.4	82.6	86.1	75.1	73.7	76.6
54	84.3	82.5	86	74.8	73.3	76.3
53	84.2	82.4	86	74.5	72.9	76
52	84.1	82.3	85.9	74.1	72.6	75.7
51	84.1	82.2	85.8	73.8	72.2	75.4
50	84	82.1	85.8	73.5	71.9	75.1
49	83.9	82	85.7	73.2	71.6	74.9
48	83.8	82	85.7	72.9	71.2	74.6
47	83.8	81.9	85.6	72.6	70.9	74.4
46	83.7	81.8	85.6	72.4	70.6	74.1
45	83.7	81.8	85.5	72.1	70.3	73.9
44	83.6	81.7	85.5	71.8	70.1	73.6
43	83.6	81.6	85.4	71.6	69.8	73.4
42	83.5	81.6	85.4	71.3	69.5	73.2
41	83.5	81.5	85.4	71.1	69.2	73
40	83.5	81.5	85.3	70.8	69	72.8
39	83.4	81.5	85.3	70.6	68.7	72.5
38	83.4	81.4	85.3	70.4	68.5	72.3
37	83.4	81.4	85.3	70.2	68.3	72.1
36	83.3	81.3	85.2	70	68.1	71.9
35	83.3	81.3	85.2	69.8	67.8	71.8
34	83.3	81.3	85.2	69.6	67.6	71.6
33	83.2	81.2	85.2	69.4	67.5	71.4
32	83.2	81.2	85.2	69.2	67.3	71.2
31	83.2	81.2	85.2	69.1	67.1	71.1
30	83.2	81.1	85.1	68.9	66.9	70.9
29	83.1	81.1	85.1	68.7	66.7	70.8
28	83.1	81.1	85.1	68.6	66.6	70.6
27	83.1	81.1	85.1	68.4	66.4	70.5
26	83.1	81	85.1	68.3	66.3	70.4
25	83.1	81	85.1	68.2	66.1	70.3
24	83	81	85.1	68	66	70.1
23	83	80.9	85.1	67.9	65.9	70
22	83	80.9	85	67.8	65.8	69.9
21	83	80.9	85	67.7	65.6	69.8
20	83	80.9	85	67.6	65.5	69.8
19	82.9	80.8	85	67.5	65.4	69.7
18	82.9	80.8	85	67.4	65.3	69.6
17	82.9	80.8	85	67.4	65.3	69.5
16	82.9	80.8	85	67.3	65.2	69.5
15	82.9	80.8	85	67.2	65.1	69.4
14	82.9	80.8	85	67.2	65.1	69.4
13	82.9	80.8	85	67.1	65	69.3
12	82.9	80.8	85	67.1	65	69.3
11	82.9	80.8	85	67.1	65	69.3
10	82.9	80.8	85	67	64.9	69.2
9	82.9	80.8	85	67	64.9	69.2
8	82.9	80.8	84.9	66.9	64.8	69.1
7	82.9	80.8	84.9	66.9	64.8	69.1
6	82.9	80.7	84.9	66.8	64.7	69
5	82.9	80.7	84.9	66.8	64.7	69
4	82.8	80.7	84.9	66.7	64.6	68.9
3	82.8	80.7	84.9	66.5	64.4	68.7
2	82.8	80.7	84.9	66.3	64.3	68.5
1	82.8	80.7	84.9	66	64	68.2
0	82.6	80.5	84.7	64.2	62	66.5

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 Belgium can expect to live to 83.2 years compared to 68.9 in Kenya, rising to 85.9 and 79.1 at 65, and to 89.7 and 87 at 80 — higher than the 82.6 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Belgium

Male

Female

Kenya

Male

Female

1x

Age	Survival probability
	Belgium			Kenya
	Average	Male	Female	Average	Male	Female
100	2.23%	1.26%	3.07%	0.32%	0.15%	0.49%
99	3.37%	1.97%	4.6%	0.48%	0.24%	0.72%
98	4.9%	2.96%	6.62%	0.69%	0.36%	1.03%
97	6.87%	4.29%	9.17%	0.99%	0.53%	1.45%
96	9.32%	6.01%	12.3%	1.38%	0.76%	2%
95	12.2%	8.16%	16%	1.89%	1.07%	2.69%
94	15.6%	10.7%	20.1%	2.52%	1.48%	3.54%
93	19.3%	13.7%	24.5%	3.29%	1.99%	4.57%
92	23.4%	17.1%	29.2%	4.21%	2.63%	5.77%
91	27.7%	20.8%	34.1%	5.28%	3.39%	7.15%
90	32.1%	24.7%	39.1%	6.54%	4.31%	8.75%
89	36.5%	28.8%	44%	7.94%	5.38%	10.5%
88	40.9%	32.9%	48.7%	9.51%	6.6%	12.4%
87	45.2%	37.1%	53.1%	11.2%	7.98%	14.5%
86	49.3%	41.2%	57.2%	13.1%	9.5%	16.7%
85	53.1%	45.1%	61%	15%	11.2%	19.1%
84	56.7%	48.8%	64.5%	17.1%	12.9%	21.5%
83	60%	52.3%	67.6%	19.2%	14.8%	23.9%
82	63%	55.7%	70.4%	21.4%	16.7%	26.3%
81	65.8%	58.8%	72.9%	23.5%	18.7%	28.6%
80	68.4%	61.7%	75.2%	25.7%	20.7%	31%
79	70.8%	64.4%	77.2%	27.9%	22.8%	33.3%
78	72.9%	66.9%	79%	30.1%	24.9%	35.7%
77	74.9%	69.3%	80.7%	32.4%	27.1%	38%
76	76.8%	71.5%	82.2%	34.6%	29.2%	40.3%
75	78.5%	73.6%	83.5%	36.9%	31.4%	42.6%
74	80.1%	75.5%	84.8%	39.1%	33.6%	44.8%
73	81.6%	77.4%	86%	41.3%	35.8%	47%
72	83%	79%	87.1%	43.4%	37.9%	49.2%
71	84.3%	80.6%	88%	45.5%	40.1%	51.3%
70	85.4%	82%	88.9%	47.6%	42.2%	53.3%
69	86.5%	83.4%	89.8%	49.7%	44.4%	55.3%
68	87.6%	84.7%	90.5%	51.7%	46.5%	57.2%
67	88.5%	85.9%	91.2%	53.7%	48.5%	59.1%
66	89.4%	87%	91.9%	55.6%	50.6%	60.9%
65	90.3%	88.1%	92.6%	57.5%	52.7%	62.7%
64	91.1%	89.1%	93.2%	59.4%	54.7%	64.4%
63	91.8%	90%	93.8%	61.1%	56.6%	66%
62	92.5%	90.8%	94.3%	62.8%	58.5%	67.5%
61	93.2%	91.6%	94.8%	64.5%	60.3%	68.9%
60	93.7%	92.3%	95.2%	66%	62%	70.3%
59	94.3%	92.9%	95.6%	67.5%	63.7%	71.6%
58	94.7%	93.5%	96%	68.9%	65.2%	72.8%
57	95.2%	94.1%	96.3%	70.3%	66.8%	74%
56	95.6%	94.5%	96.6%	71.6%	68.2%	75.1%
55	95.9%	94.9%	96.9%	72.8%	69.7%	76.2%
54	96.2%	95.3%	97.1%	74.1%	71%	77.2%
53	96.5%	95.7%	97.4%	75.2%	72.4%	78.2%
52	96.8%	96%	97.6%	76.4%	73.6%	79.2%
51	97%	96.3%	97.8%	77.4%	74.9%	80.1%
50	97.2%	96.5%	97.9%	78.5%	76.1%	81%
49	97.4%	96.8%	98.1%	79.5%	77.2%	81.9%
48	97.6%	97%	98.2%	80.4%	78.3%	82.7%
47	97.8%	97.2%	98.4%	81.4%	79.3%	83.5%
46	97.9%	97.4%	98.5%	82.2%	80.3%	84.2%
45	98.1%	97.5%	98.6%	83.1%	81.2%	84.9%
44	98.2%	97.7%	98.7%	83.9%	82.1%	85.6%
43	98.3%	97.8%	98.8%	84.6%	83%	86.2%
42	98.4%	98%	98.9%	85.3%	83.8%	86.9%
41	98.5%	98.1%	98.9%	86%	84.6%	87.5%
40	98.6%	98.2%	99%	86.7%	85.4%	88.1%
39	98.7%	98.3%	99%	87.4%	86.1%	88.6%
38	98.7%	98.4%	99.1%	88%	86.8%	89.1%
37	98.8%	98.5%	99.1%	88.5%	87.4%	89.7%
36	98.9%	98.6%	99.2%	89.1%	88%	90.1%
35	98.9%	98.6%	99.2%	89.6%	88.6%	90.6%
34	99%	98.7%	99.3%	90.1%	89.2%	91%
33	99%	98.8%	99.3%	90.6%	89.7%	91.5%
32	99.1%	98.8%	99.3%	91%	90.1%	91.9%
31	99.1%	98.9%	99.4%	91.4%	90.6%	92.2%
30	99.2%	99%	99.4%	91.8%	91%	92.6%
29	99.2%	99%	99.4%	92.2%	91.4%	92.9%
28	99.3%	99.1%	99.4%	92.5%	91.8%	93.2%
27	99.3%	99.1%	99.5%	92.8%	92.2%	93.5%
26	99.3%	99.2%	99.5%	93.1%	92.5%	93.8%
25	99.4%	99.2%	99.5%	93.4%	92.8%	94%
24	99.4%	99.3%	99.5%	93.7%	93.1%	94.3%
23	99.4%	99.3%	99.5%	94%	93.4%	94.5%
22	99.5%	99.4%	99.6%	94.2%	93.7%	94.7%
21	99.5%	99.4%	99.6%	94.4%	93.9%	94.9%
20	99.5%	99.5%	99.6%	94.6%	94.2%	95%
19	99.6%	99.5%	99.6%	94.8%	94.4%	95.2%
18	99.6%	99.5%	99.6%	94.9%	94.6%	95.3%
17	99.6%	99.5%	99.6%	95.1%	94.7%	95.5%
16	99.6%	99.6%	99.7%	95.2%	94.8%	95.6%
15	99.6%	99.6%	99.7%	95.3%	95%	95.7%
14	99.6%	99.6%	99.7%	95.4%	95%	95.7%
13	99.6%	99.6%	99.7%	95.5%	95.1%	95.8%
12	99.6%	99.6%	99.7%	95.5%	95.2%	95.9%
11	99.6%	99.6%	99.7%	95.6%	95.3%	95.9%
10	99.6%	99.6%	99.7%	95.7%	95.3%	96%
9	99.7%	99.6%	99.7%	95.7%	95.4%	96.1%
8	99.7%	99.6%	99.7%	95.8%	95.5%	96.1%
7	99.7%	99.6%	99.7%	95.9%	95.6%	96.2%
6	99.7%	99.6%	99.7%	96%	95.7%	96.3%
5	99.7%	99.6%	99.7%	96.1%	95.8%	96.4%
4	99.7%	99.7%	99.7%	96.2%	95.9%	96.5%
3	99.7%	99.7%	99.7%	96.4%	96.1%	96.7%
2	99.7%	99.7%	99.7%	96.7%	96.4%	97%
1	99.7%	99.7%	99.8%	97.2%	96.8%	97.5%

This chart shows the odds of living to each age from birth. 93.7% of newborns in Belgium and 66% in Kenya are expected to live past 60, 85.4% and 47.6% past 70, 68.4% and 25.7% past 80, and only 32.1% and 6.54% past 90.

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

Odds of dying at each age

Chart Table

Belgium

Male

Female

Kenya

Male

Female

1x

Age	Probability of dying
	Belgium			Kenya
	Average	Male	Female	Average	Male	Female
100	36.2%	38.3%	35.7%	34.7%	36.8%	33.8%
99	33.8%	35.9%	33.2%	33.2%	35.4%	32.3%
98	31.2%	33.5%	30.5%	31.3%	33.6%	30.4%
97	28.6%	31%	27.8%	29.9%	32.1%	28.9%
96	26.2%	28.7%	25.4%	28.3%	30.6%	27.4%
95	23.9%	26.4%	23%	26.7%	29.1%	25.8%
94	21.5%	24.1%	20.5%	25.1%	27.5%	24%
93	19.3%	21.8%	18.2%	23.4%	25.8%	22.4%
92	17.3%	19.7%	16.1%	21.9%	24.3%	20.9%
91	15.4%	17.7%	14.3%	20.3%	22.6%	19.3%
90	13.8%	15.8%	12.7%	19.2%	21.3%	18.3%
89	12.2%	14.1%	11.1%	17.7%	19.8%	16.7%
88	10.8%	12.6%	9.67%	16.5%	18.5%	15.5%
87	9.45%	11.2%	8.34%	15.3%	17.2%	14.3%
86	8.27%	9.93%	7.21%	14.2%	16%	13.3%
85	7.22%	8.7%	6.22%	13%	14.8%	12.2%
84	6.3%	7.62%	5.37%	12%	13.7%	11.1%
83	5.5%	6.73%	4.6%	11%	12.6%	10.1%
82	4.83%	5.99%	3.97%	10.1%	11.6%	9.19%
81	4.25%	5.3%	3.44%	9.13%	10.5%	8.19%
80	3.75%	4.7%	3%	8.53%	9.8%	7.62%
79	3.34%	4.2%	2.63%	7.9%	9.07%	7.01%
78	2.98%	3.78%	2.31%	7.44%	8.49%	6.6%
77	2.68%	3.44%	2.04%	6.92%	7.88%	6.11%
76	2.42%	3.11%	1.82%	6.48%	7.39%	5.74%
75	2.19%	2.81%	1.65%	6.05%	6.94%	5.37%
74	2.01%	2.57%	1.51%	5.66%	6.5%	5.01%
73	1.84%	2.36%	1.37%	5.3%	6.1%	4.68%
72	1.65%	2.12%	1.23%	4.99%	5.75%	4.38%
71	1.49%	1.91%	1.11%	4.64%	5.36%	4.06%
70	1.37%	1.76%	1.01%	4.41%	5.1%	3.84%
69	1.28%	1.65%	0.93%	4.11%	4.77%	3.57%
68	1.18%	1.53%	0.84%	3.89%	4.52%	3.36%
67	1.09%	1.41%	0.78%	3.68%	4.29%	3.16%
66	1.02%	1.3%	0.74%	3.5%	4.08%	2.98%
65	0.95%	1.2%	0.7%	3.34%	3.91%	2.83%
64	0.87%	1.09%	0.65%	3.11%	3.65%	2.61%
63	0.82%	1.02%	0.62%	2.9%	3.42%	2.42%
62	0.76%	0.94%	0.58%	2.7%	3.2%	2.25%
61	0.68%	0.85%	0.51%	2.51%	2.97%	2.08%
60	0.61%	0.76%	0.45%	2.36%	2.81%	1.94%
59	0.55%	0.69%	0.41%	2.19%	2.59%	1.81%
58	0.5%	0.62%	0.38%	2.05%	2.43%	1.7%
57	0.45%	0.56%	0.34%	1.93%	2.28%	1.59%
56	0.4%	0.5%	0.31%	1.83%	2.15%	1.51%
55	0.36%	0.44%	0.28%	1.73%	2.05%	1.42%
54	0.33%	0.4%	0.26%	1.64%	1.93%	1.35%
53	0.3%	0.36%	0.24%	1.56%	1.83%	1.28%
52	0.27%	0.33%	0.21%	1.48%	1.74%	1.22%
51	0.24%	0.3%	0.19%	1.4%	1.64%	1.15%
50	0.22%	0.27%	0.18%	1.34%	1.57%	1.1%
49	0.21%	0.24%	0.17%	1.25%	1.47%	1.04%
48	0.19%	0.22%	0.15%	1.19%	1.38%	0.98%
47	0.17%	0.2%	0.13%	1.12%	1.3%	0.93%
46	0.16%	0.19%	0.12%	1.06%	1.23%	0.88%
45	0.14%	0.18%	0.11%	1%	1.17%	0.84%
44	0.13%	0.17%	0.1%	0.95%	1.1%	0.79%
43	0.12%	0.15%	0.08%	0.9%	1.04%	0.76%
42	0.1%	0.13%	0.08%	0.86%	0.98%	0.72%
41	0.09%	0.11%	0.07%	0.81%	0.93%	0.69%
40	0.09%	0.11%	0.07%	0.78%	0.89%	0.66%
39	0.08%	0.1%	0.06%	0.73%	0.83%	0.63%
38	0.07%	0.1%	0.05%	0.69%	0.79%	0.6%
37	0.07%	0.09%	0.05%	0.65%	0.74%	0.57%
36	0.07%	0.09%	0.05%	0.62%	0.69%	0.54%
35	0.06%	0.08%	0.04%	0.58%	0.65%	0.51%
34	0.05%	0.07%	0.04%	0.54%	0.61%	0.48%
33	0.05%	0.07%	0.04%	0.51%	0.57%	0.45%
32	0.05%	0.07%	0.04%	0.48%	0.53%	0.43%
31	0.05%	0.07%	0.03%	0.45%	0.5%	0.4%
30	0.05%	0.06%	0.03%	0.42%	0.47%	0.38%
29	0.04%	0.06%	0.03%	0.4%	0.44%	0.36%
28	0.04%	0.05%	0.02%	0.37%	0.42%	0.33%
27	0.04%	0.05%	0.02%	0.35%	0.39%	0.31%
26	0.04%	0.05%	0.02%	0.33%	0.37%	0.29%
25	0.03%	0.05%	0.02%	0.31%	0.35%	0.27%
24	0.03%	0.05%	0.02%	0.29%	0.32%	0.25%
23	0.03%	0.05%	0.02%	0.27%	0.31%	0.23%
22	0.03%	0.05%	0.02%	0.25%	0.28%	0.21%
21	0.03%	0.04%	0.02%	0.23%	0.26%	0.19%
20	0.03%	0.04%	0.01%	0.21%	0.24%	0.18%
19	0.03%	0.04%	0.02%	0.19%	0.22%	0.16%
18	0.02%	0.03%	0.02%	0.17%	0.2%	0.15%
17	0.02%	0.02%	0.01%	0.15%	0.17%	0.13%
16	0.01%	0.02%	0.01%	0.13%	0.14%	0.11%
15	0.01%	0.01%	0.008%	0.11%	0.12%	0.1%
14	0.008%	0.009%	0.007%	0.09%	0.1%	0.08%
13	0.008%	0.009%	0.007%	0.08%	0.09%	0.08%
12	0.007%	0.008%	0.006%	0.07%	0.08%	0.07%
11	0.006%	0.007%	0.004%	0.07%	0.08%	0.07%
10	0.005%	0.006%	0.004%	0.07%	0.07%	0.07%
9	0.005%	0.006%	0.005%	0.07%	0.08%	0.07%
8	0.006%	0.006%	0.005%	0.08%	0.08%	0.07%
7	0.006%	0.007%	0.005%	0.09%	0.09%	0.08%
6	0.006%	0.007%	0.006%	0.1%	0.1%	0.09%
5	0.007%	0.007%	0.006%	0.11%	0.12%	0.11%
4	0.007%	0.007%	0.007%	0.15%	0.15%	0.15%
3	0.008%	0.007%	0.008%	0.21%	0.21%	0.2%
2	0.01%	0.009%	0.01%	0.3%	0.29%	0.3%
1	0.03%	0.03%	0.03%	0.47%	0.44%	0.49%
0	0.27%	0.3%	0.24%	2.82%	3.15%	2.48%

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

The annual chance of dying is 0.27% in the birth year in Belgium and 2.82% in Kenya, 0.05% vs 0.42% at age 30, 0.61% vs 2.36% at 60, and 3.75% vs 8.53% at 80.

Death rate by age in Belgium vs Kenya

Chart Table

Belgium

Male

Female

Kenya

Male

Female

1x

Age	Death rate
	Belgium			Kenya
	Total	Male	Female	Total	Male	Female
100	655	292.8	965	53.6	13.4	94.3
99	1,141	706	1,527	158.4	84	232.3
98	1,531	990	2,020	217.5	120.1	313
97	1,966	1,329	2,552	295.7	169.3	419
96	2,444	1,722	3,118	392	232.6	547
95	2,929	2,152	3,664	505	311	693
94	3,362	2,587	4,112	631	405	851
93	3,732	3,002	4,457	771	514	1,023
92	4,044	3,372	4,721	923	638	1,207
91	4,272	3,672	4,889	1,072	767	1,378
90	4,411	3,902	4,948	1,255	920	1,598
89	4,461	4,064	4,888	1,403	1,066	1,756
88	4,413	4,158	4,705	1,565	1,223	1,933
87	4,271	4,165	4,431	1,711	1,375	2,084
86	4,078	4,088	4,126	1,852	1,523	2,224
85	3,835	3,921	3,798	1,959	1,651	2,316
84	3,571	3,721	3,460	2,058	1,776	2,391
83	3,302	3,524	3,112	2,113	1,864	2,409
82	3,048	3,332	2,793	2,159	1,941	2,415
81	2,797	3,116	2,508	2,146	1,973	2,345
80	2,565	2,897	2,255	2,192	2,033	2,362
79	2,360	2,702	2,034	2,204	2,068	2,335
78	2,172	2,530	1,829	2,244	2,116	2,353
77	2,008	2,382	1,643	2,240	2,132	2,320
76	1,856	2,228	1,491	2,243	2,160	2,313
75	1,719	2,064	1,380	2,230	2,178	2,289
74	1,611	1,944	1,281	2,212	2,183	2,248
73	1,503	1,827	1,179	2,188	2,182	2,200
72	1,373	1,676	1,071	2,166	2,180	2,156
71	1,257	1,539	977	2,112	2,148	2,080
70	1,172	1,445	901	2,099	2,153	2,048
69	1,104	1,373	833	2,043	2,116	1,972
68	1,030	1,292	763	2,012	2,102	1,922
67	962	1,211	709	1,976	2,083	1,867
66	909	1,135	679	1,944	2,067	1,816
65	855	1,056	650	1,921	2,060	1,776
64	794	973	610	1,844	1,998	1,682
63	750	913	581	1,770	1,935	1,595
62	703	856	545	1,699	1,873	1,515
61	636	781	485	1,618	1,792	1,432
60	568	703	428	1,560	1,739	1,366
59	518	638	391	1,477	1,648	1,294
58	474	581	362	1,416	1,584	1,236
57	429	524	330	1,358	1,522	1,180
56	385	470	297.1	1,307	1,469	1,132
55	346	420	269.9	1,262	1,425	1,085
54	315	378	250.7	1,215	1,373	1,042
53	290.1	343	234.7	1,171	1,326	1,002
52	261.3	313	207.8	1,132	1,283	967
51	235.4	285	184.2	1,084	1,231	924
50	217.3	259.8	173.6	1,049	1,193	892
49	200.6	236.9	163.6	997	1,133	850
48	181.3	216.7	145.3	954	1,084	811
47	164.2	198.7	128.9	910	1,034	774
46	152.3	183.2	121	869	988	739
45	142.1	171.7	112.4	834	947	710
44	129.9	162.9	96.6	794	900	679
43	115.1	147.6	82.5	761	861	653
42	100	124.5	75.5	730	824	628
41	91.5	111.6	71.4	699	786	605
40	85.2	105.5	64.8	673	757	584
39	78.2	101.4	54.9	639	716	559
38	73	97.8	48.2	610	682	536
37	70	92.5	47.4	580	647	511
36	66.3	85.3	47.1	549	611	487
35	59.2	76	42.4	521	578	464
34	53.4	69.1	37.6	489	543	436
33	51.8	67.1	36.3	461	510	412
32	51.5	68	34.8	435	481	391
31	49.6	68.1	30.8	409	452	367
30	45.3	62.2	28.1	390	431	351
29	41.1	56	26	367	404	332
28	38.7	53.7	23.3	346	382	311
27	37.1	52.6	21	326	361	293.5
26	35.3	50.2	19.8	306	340	273.1
25	34	48.1	19.3	287	322	252.9
24	34	48.3	19	268.3	303	234.5
23	33.9	48.2	18.8	250.7	285.1	216.8
22	32.4	45.8	18.3	232.9	266.5	199.6
21	30.5	43.8	16.6	214.5	246.6	182.5
20	29.1	43.2	14.3	198.6	226.6	170.5
19	26.9	37.6	15.7	180.2	205.8	154.3
18	23.3	29.1	17.3	162.4	185.4	139
17	17.7	21	14.2	140.3	157.5	122.8
16	12.6	15	10.2	119.7	131.5	107.6
15	9.59	11.1	7.96	102.9	111	94.6
14	8.04	9.11	6.93	87.5	93.7	81.2
13	7.59	8.55	6.59	76.9	81.8	72
12	6.98	8.17	5.73	70.4	75.3	65.4
11	5.84	7.34	4.26	67.3	72.1	62.5
10	5.06	6.35	3.72	66.7	70.3	63.1
9	5.27	5.77	4.74	69	72.4	65.5
8	5.65	5.97	5.32	74.2	78.3	70.1
7	5.95	6.55	5.32	82.4	86.7	78.1
6	6.34	7.06	5.59	92.5	96.3	88.6
5	6.7	7.17	6.21	109.2	111.8	106.5
4	7.03	6.97	7.09	144	146.8	141.1
3	7.56	7.14	7.99	197.9	197.7	198
2	9.57	9.38	9.76	288.3	281.8	294.8
1	27.7	28.9	26.5	454	428	480
0	270	303	235.6	2,818	3,154	2,478

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 Belgium, the most common age of death is 89, compared to 0 in Kenya. The median age of death is 85.8 in Belgium and 68.8 in Kenya, 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 Belgium and Kenya more than their death rates.

Life expectancy in other countries

+ -

1x