Life Expectancy in Belarus vs Kenya (1950-2026)

Life expectancy by current age

Chart Table

Belarus

Male

Female

Kenya

Male

Female

1x

Current age, years	Total life expectancy, years
	Belarus			Kenya
	Average	Male	Female	Average	Male	Female
100	101.9	101.8	102	102.2	102	102.2
99	101	100.9	101	101.3	101.1	101.4
98	100.1	100.1	100.1	100.4	100.2	100.5
97	99.2	99.2	99.2	99.5	99.4	99.6
96	98.3	98.4	98.3	98.7	98.5	98.8
95	97.5	97.5	97.5	97.8	97.6	97.9
94	96.7	96.7	96.6	97	96.8	97.1
93	95.9	95.8	95.9	96.2	95.9	96.3
92	95.1	95	95.1	95.4	95.1	95.5
91	94.3	94.2	94.3	94.6	94.3	94.7
90	93.6	93.4	93.6	93.8	93.5	94
89	92.9	92.7	92.9	93	92.7	93.2
88	92.2	91.9	92.2	92.3	91.9	92.5
87	91.5	91.2	91.6	91.6	91.1	91.8
86	90.9	90.5	91	90.8	90.4	91.1
85	90.2	89.8	90.4	90.1	89.7	90.4
84	89.6	89.1	89.8	89.5	89	89.7
83	89.1	88.4	89.3	88.8	88.3	89.1
82	88.5	87.7	88.8	88.2	87.6	88.5
81	87.9	87.1	88.3	87.6	87	87.9
80	87.4	86.4	87.8	87	86.3	87.4
79	86.9	85.8	87.4	86.4	85.7	86.8
78	86.4	85.2	86.9	85.8	85.1	86.3
77	86	84.6	86.6	85.2	84.5	85.7
76	85.5	84	86.2	84.6	83.9	85.2
75	85.1	83.5	85.9	84.1	83.3	84.7
74	84.7	82.9	85.5	83.6	82.8	84.2
73	84.2	82.4	85.2	83	82.2	83.7
72	83.9	81.9	84.9	82.5	81.6	83.2
71	83.5	81.4	84.7	82	81.1	82.7
70	83.1	80.9	84.4	81.5	80.5	82.2
69	82.7	80.4	84.2	81	80	81.8
68	82.4	79.9	83.9	80.5	79.5	81.3
67	82	79.4	83.7	80	79	80.9
66	81.7	79	83.5	79.5	78.5	80.5
65	81.4	78.5	83.3	79.1	78	80
64	81	78.1	83.1	78.6	77.5	79.6
63	80.7	77.7	82.9	78.2	77	79.2
62	80.4	77.3	82.7	77.8	76.5	78.9
61	80.1	76.8	82.6	77.4	76.1	78.5
60	79.8	76.5	82.4	77	75.6	78.2
59	79.6	76.1	82.3	76.6	75.2	77.8
58	79.3	75.8	82.1	76.2	74.8	77.5
57	79.1	75.5	82	75.8	74.4	77.2
56	78.9	75.2	81.8	75.5	74	76.9
55	78.7	74.9	81.7	75.1	73.7	76.6
54	78.5	74.6	81.6	74.8	73.3	76.3
53	78.3	74.4	81.5	74.5	72.9	76
52	78.1	74.1	81.4	74.1	72.6	75.7
51	77.9	73.9	81.3	73.8	72.2	75.4
50	77.7	73.7	81.2	73.5	71.9	75.1
49	77.5	73.4	81.1	73.2	71.6	74.9
48	77.4	73.2	81	72.9	71.2	74.6
47	77.2	73	80.9	72.6	70.9	74.4
46	77.1	72.8	80.8	72.4	70.6	74.1
45	77	72.7	80.8	72.1	70.3	73.9
44	76.8	72.5	80.7	71.8	70.1	73.6
43	76.7	72.3	80.6	71.6	69.8	73.4
42	76.6	72.2	80.6	71.3	69.5	73.2
41	76.5	72.1	80.5	71.1	69.2	73
40	76.4	71.9	80.4	70.8	69	72.8
39	76.3	71.8	80.4	70.6	68.7	72.5
38	76.2	71.7	80.3	70.4	68.5	72.3
37	76.1	71.6	80.3	70.2	68.3	72.1
36	76	71.5	80.2	70	68.1	71.9
35	76	71.4	80.2	69.8	67.8	71.8
34	75.9	71.3	80.2	69.6	67.6	71.6
33	75.8	71.2	80.1	69.4	67.5	71.4
32	75.8	71.1	80.1	69.2	67.3	71.2
31	75.7	71.1	80.1	69.1	67.1	71.1
30	75.7	71	80	68.9	66.9	70.9
29	75.6	70.9	80	68.7	66.7	70.8
28	75.6	70.9	80	68.6	66.6	70.6
27	75.6	70.8	80	68.4	66.4	70.5
26	75.5	70.8	79.9	68.3	66.3	70.4
25	75.5	70.7	79.9	68.2	66.1	70.3
24	75.5	70.7	79.9	68	66	70.1
23	75.4	70.6	79.9	67.9	65.9	70
22	75.4	70.6	79.9	67.8	65.8	69.9
21	75.4	70.6	79.9	67.7	65.6	69.8
20	75.3	70.5	79.9	67.6	65.5	69.8
19	75.3	70.5	79.8	67.5	65.4	69.7
18	75.3	70.5	79.8	67.4	65.3	69.6
17	75.3	70.5	79.8	67.4	65.3	69.5
16	75.3	70.4	79.8	67.3	65.2	69.5
15	75.3	70.4	79.8	67.2	65.1	69.4
14	75.2	70.4	79.8	67.2	65.1	69.4
13	75.2	70.4	79.8	67.1	65	69.3
12	75.2	70.4	79.8	67.1	65	69.3
11	75.2	70.4	79.8	67.1	65	69.3
10	75.2	70.4	79.8	67	64.9	69.2
9	75.2	70.4	79.7	67	64.9	69.2
8	75.2	70.4	79.7	66.9	64.8	69.1
7	75.2	70.4	79.7	66.9	64.8	69.1
6	75.2	70.4	79.7	66.8	64.7	69
5	75.2	70.4	79.7	66.8	64.7	69
4	75.2	70.3	79.7	66.7	64.6	68.9
3	75.2	70.3	79.7	66.5	64.4	68.7
2	75.2	70.3	79.7	66.3	64.3	68.5
1	75.1	70.3	79.7	66	64	68.2
0	75	70.1	79.5	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 Belarus can expect to live to 75.7 years compared to 68.9 in Kenya, rising to 81.4 and 79.1 at 65, and to 87.4 and 87 at 80 — higher than the 75 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Belarus

Male

Female

Kenya

Male

Female

1x

Age	Survival probability
	Belarus			Kenya
	Average	Male	Female	Average	Male	Female
100	0.41%	0.2%	0.59%	0.32%	0.15%	0.49%
99	0.67%	0.32%	0.98%	0.48%	0.24%	0.72%
98	1.06%	0.49%	1.56%	0.69%	0.36%	1.03%
97	1.62%	0.73%	2.38%	0.99%	0.53%	1.45%
96	2.38%	1.07%	3.52%	1.38%	0.76%	2%
95	3.4%	1.51%	5.02%	1.89%	1.07%	2.69%
94	4.7%	2.1%	6.95%	2.52%	1.48%	3.54%
93	6.31%	2.85%	9.3%	3.29%	1.99%	4.57%
92	8.22%	3.78%	12.1%	4.21%	2.63%	5.77%
91	10.4%	4.91%	15.2%	5.28%	3.39%	7.15%
90	12.9%	6.21%	18.7%	6.54%	4.31%	8.75%
89	15.6%	7.71%	22.6%	7.94%	5.38%	10.5%
88	18.6%	9.39%	26.7%	9.51%	6.6%	12.4%
87	21.7%	11.3%	30.9%	11.2%	7.98%	14.5%
86	24.9%	13.3%	35.3%	13.1%	9.5%	16.7%
85	28.2%	15.5%	39.5%	15%	11.2%	19.1%
84	31.5%	17.9%	43.7%	17.1%	12.9%	21.5%
83	34.8%	20.4%	47.8%	19.2%	14.8%	23.9%
82	38.1%	23%	51.7%	21.4%	16.7%	26.3%
81	41.3%	25.7%	55.5%	23.5%	18.7%	28.6%
80	44.4%	28.5%	58.9%	25.7%	20.7%	31%
79	47.4%	31.2%	62.2%	27.9%	22.8%	33.3%
78	50.4%	34.1%	65.3%	30.1%	24.9%	35.7%
77	53.2%	36.9%	68.2%	32.4%	27.1%	38%
76	55.8%	39.8%	70.7%	34.6%	29.2%	40.3%
75	58.3%	42.5%	73.1%	36.9%	31.4%	42.6%
74	60.8%	45.4%	75.2%	39.1%	33.6%	44.8%
73	63%	48.1%	77.1%	41.3%	35.8%	47%
72	65.2%	50.7%	78.9%	43.4%	37.9%	49.2%
71	67.3%	53.3%	80.5%	45.5%	40.1%	51.3%
70	69.3%	55.9%	82.1%	47.6%	42.2%	53.3%
69	71.2%	58.4%	83.4%	49.7%	44.4%	55.3%
68	73%	60.8%	84.7%	51.7%	46.5%	57.2%
67	74.7%	63.2%	85.9%	53.7%	48.5%	59.1%
66	76.4%	65.5%	87%	55.6%	50.6%	60.9%
65	78%	67.7%	87.9%	57.5%	52.7%	62.7%
64	79.5%	69.9%	88.8%	59.4%	54.7%	64.4%
63	81%	72%	89.7%	61.1%	56.6%	66%
62	82.3%	74.1%	90.4%	62.8%	58.5%	67.5%
61	83.7%	76%	91.2%	64.5%	60.3%	68.9%
60	84.9%	77.8%	91.8%	66%	62%	70.3%
59	86%	79.4%	92.4%	67.5%	63.7%	71.6%
58	87%	80.9%	93%	68.9%	65.2%	72.8%
57	87.9%	82.3%	93.6%	70.3%	66.8%	74%
56	88.8%	83.6%	94.1%	71.6%	68.2%	75.1%
55	89.7%	84.9%	94.5%	72.8%	69.7%	76.2%
54	90.4%	86%	94.9%	74.1%	71%	77.2%
53	91.1%	87.1%	95.3%	75.2%	72.4%	78.2%
52	91.8%	88.1%	95.6%	76.4%	73.6%	79.2%
51	92.4%	89%	95.9%	77.4%	74.9%	80.1%
50	93%	89.9%	96.3%	78.5%	76.1%	81%
49	93.6%	90.8%	96.5%	79.5%	77.2%	81.9%
48	94.1%	91.5%	96.8%	80.4%	78.3%	82.7%
47	94.6%	92.2%	97%	81.4%	79.3%	83.5%
46	95%	92.9%	97.3%	82.2%	80.3%	84.2%
45	95.4%	93.5%	97.5%	83.1%	81.2%	84.9%
44	95.8%	94%	97.7%	83.9%	82.1%	85.6%
43	96.1%	94.5%	97.9%	84.6%	83%	86.2%
42	96.5%	95%	98%	85.3%	83.8%	86.9%
41	96.8%	95.4%	98.2%	86%	84.6%	87.5%
40	97%	95.8%	98.3%	86.7%	85.4%	88.1%
39	97.3%	96.2%	98.5%	87.4%	86.1%	88.6%
38	97.5%	96.5%	98.6%	88%	86.8%	89.1%
37	97.7%	96.8%	98.7%	88.5%	87.4%	89.7%
36	97.9%	97.1%	98.8%	89.1%	88%	90.1%
35	98.1%	97.4%	98.9%	89.6%	88.6%	90.6%
34	98.3%	97.6%	99%	90.1%	89.2%	91%
33	98.4%	97.8%	99%	90.6%	89.7%	91.5%
32	98.6%	98%	99.1%	91%	90.1%	91.9%
31	98.7%	98.2%	99.2%	91.4%	90.6%	92.2%
30	98.8%	98.4%	99.2%	91.8%	91%	92.6%
29	98.9%	98.5%	99.3%	92.2%	91.4%	92.9%
28	99%	98.6%	99.3%	92.5%	91.8%	93.2%
27	99%	98.8%	99.3%	92.8%	92.2%	93.5%
26	99.1%	98.9%	99.4%	93.1%	92.5%	93.8%
25	99.2%	99%	99.4%	93.4%	92.8%	94%
24	99.2%	99.1%	99.4%	93.7%	93.1%	94.3%
23	99.3%	99.1%	99.5%	94%	93.4%	94.5%
22	99.3%	99.2%	99.5%	94.2%	93.7%	94.7%
21	99.4%	99.3%	99.5%	94.4%	93.9%	94.9%
20	99.4%	99.4%	99.5%	94.6%	94.2%	95%
19	99.5%	99.4%	99.6%	94.8%	94.4%	95.2%
18	99.5%	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%	99.5%	99.6%	95.2%	94.8%	95.6%
15	99.6%	99.6%	99.6%	95.3%	95%	95.7%
14	99.6%	99.6%	99.6%	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	99.7%	99.6%	99.7%	95.6%	95.3%	95.9%
10	99.7%	99.6%	99.7%	95.7%	95.3%	96%
9	99.7%	99.7%	99.7%	95.7%	95.4%	96.1%
8	99.7%	99.7%	99.7%	95.8%	95.5%	96.1%
7	99.7%	99.7%	99.7%	95.9%	95.6%	96.2%
6	99.7%	99.7%	99.7%	96%	95.7%	96.3%
5	99.7%	99.7%	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%	99.8%	96.4%	96.1%	96.7%
2	99.8%	99.7%	99.8%	96.7%	96.4%	97%
1	99.8%	99.8%	99.8%	97.2%	96.8%	97.5%

This chart shows the odds of living to each age from birth. 84.9% of newborns in Belarus and 66% in Kenya are expected to live past 60, 69.3% and 47.6% past 70, 44.4% and 25.7% past 80, and only 12.9% 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

Belarus

Male

Female

Kenya

Male

Female

1x

Age	Probability of dying
	Belarus			Kenya
	Average	Male	Female	Average	Male	Female
100	41.1%	38.8%	41.7%	34.7%	36.8%	33.8%
99	38.8%	37%	39.4%	33.2%	35.4%	32.3%
98	36.6%	35.1%	37.1%	31.3%	33.6%	30.4%
97	34.4%	33.3%	34.7%	29.9%	32.1%	28.9%
96	32.1%	31.4%	32.3%	28.3%	30.6%	27.4%
95	29.9%	29.5%	30%	26.7%	29.1%	25.8%
94	27.7%	27.8%	27.7%	25.1%	27.5%	24%
93	25.5%	26.3%	25.3%	23.4%	25.8%	22.4%
92	23.2%	24.7%	22.9%	21.9%	24.3%	20.9%
91	21.1%	22.9%	20.6%	20.3%	22.6%	19.3%
90	19.3%	21.1%	18.8%	19.2%	21.3%	18.3%
89	17.5%	19.4%	17.1%	17.7%	19.8%	16.7%
88	15.9%	17.9%	15.3%	16.5%	18.5%	15.5%
87	14.4%	16.7%	13.8%	15.3%	17.2%	14.3%
86	13%	15.4%	12.3%	14.2%	16%	13.3%
85	11.6%	14.3%	10.9%	13%	14.8%	12.2%
84	10.4%	13.1%	9.54%	12%	13.7%	11.1%
83	9.39%	12.2%	8.47%	11%	12.6%	10.1%
82	8.65%	11.4%	7.65%	10.1%	11.6%	9.19%
81	7.81%	10.6%	6.75%	9.13%	10.5%	8.19%
80	6.99%	9.64%	5.9%	8.53%	9.8%	7.62%
79	6.39%	8.89%	5.31%	7.9%	9.07%	7.01%
78	5.84%	8.31%	4.74%	7.44%	8.49%	6.6%
77	5.3%	7.75%	4.16%	6.92%	7.88%	6.11%
76	4.76%	7.1%	3.62%	6.48%	7.39%	5.74%
75	4.3%	6.55%	3.17%	6.05%	6.94%	5.37%
74	3.99%	6.2%	2.83%	5.66%	6.5%	5.01%
73	3.63%	5.71%	2.51%	5.3%	6.1%	4.68%
72	3.31%	5.2%	2.25%	4.99%	5.75%	4.38%
71	3.09%	4.86%	2.04%	4.64%	5.36%	4.06%
70	2.89%	4.58%	1.85%	4.41%	5.1%	3.84%
69	2.66%	4.24%	1.65%	4.11%	4.77%	3.57%
68	2.49%	3.99%	1.5%	3.89%	4.52%	3.36%
67	2.34%	3.76%	1.38%	3.68%	4.29%	3.16%
66	2.17%	3.51%	1.22%	3.5%	4.08%	2.98%
65	2.03%	3.31%	1.1%	3.34%	3.91%	2.83%
64	1.91%	3.14%	1.01%	3.11%	3.65%	2.61%
63	1.8%	2.93%	0.93%	2.9%	3.42%	2.42%
62	1.68%	2.74%	0.86%	2.7%	3.2%	2.25%
61	1.57%	2.57%	0.79%	2.51%	2.97%	2.08%
60	1.42%	2.3%	0.72%	2.36%	2.81%	1.94%
59	1.27%	2.02%	0.67%	2.19%	2.59%	1.81%
58	1.17%	1.84%	0.62%	2.05%	2.43%	1.7%
57	1.1%	1.72%	0.58%	1.93%	2.28%	1.59%
56	1.02%	1.6%	0.53%	1.83%	2.15%	1.51%
55	0.93%	1.46%	0.47%	1.73%	2.05%	1.42%
54	0.84%	1.33%	0.41%	1.64%	1.93%	1.35%
53	0.78%	1.24%	0.37%	1.56%	1.83%	1.28%
52	0.73%	1.13%	0.36%	1.48%	1.74%	1.22%
51	0.68%	1.05%	0.35%	1.4%	1.64%	1.15%
50	0.65%	1%	0.32%	1.34%	1.57%	1.1%
49	0.59%	0.92%	0.29%	1.25%	1.47%	1.04%
48	0.54%	0.83%	0.27%	1.19%	1.38%	0.98%
47	0.5%	0.75%	0.25%	1.12%	1.3%	0.93%
46	0.46%	0.7%	0.23%	1.06%	1.23%	0.88%
45	0.43%	0.64%	0.22%	1%	1.17%	0.84%
44	0.39%	0.59%	0.2%	0.95%	1.1%	0.79%
43	0.36%	0.54%	0.18%	0.9%	1.04%	0.76%
42	0.34%	0.5%	0.17%	0.86%	0.98%	0.72%
41	0.31%	0.46%	0.16%	0.81%	0.93%	0.69%
40	0.29%	0.43%	0.14%	0.78%	0.89%	0.66%
39	0.26%	0.38%	0.13%	0.73%	0.83%	0.63%
38	0.24%	0.34%	0.12%	0.69%	0.79%	0.6%
37	0.22%	0.32%	0.11%	0.65%	0.74%	0.57%
36	0.2%	0.3%	0.1%	0.62%	0.69%	0.54%
35	0.18%	0.27%	0.09%	0.58%	0.65%	0.51%
34	0.16%	0.24%	0.08%	0.54%	0.61%	0.48%
33	0.15%	0.22%	0.08%	0.51%	0.57%	0.45%
32	0.14%	0.21%	0.07%	0.48%	0.53%	0.43%
31	0.12%	0.19%	0.06%	0.45%	0.5%	0.4%
30	0.11%	0.16%	0.05%	0.42%	0.47%	0.38%
29	0.1%	0.15%	0.05%	0.4%	0.44%	0.36%
28	0.09%	0.13%	0.05%	0.37%	0.42%	0.33%
27	0.08%	0.12%	0.04%	0.35%	0.39%	0.31%
26	0.07%	0.11%	0.03%	0.33%	0.37%	0.29%
25	0.07%	0.1%	0.03%	0.31%	0.35%	0.27%
24	0.06%	0.09%	0.03%	0.29%	0.32%	0.25%
23	0.06%	0.08%	0.03%	0.27%	0.31%	0.23%
22	0.05%	0.08%	0.02%	0.25%	0.28%	0.21%
21	0.05%	0.07%	0.02%	0.23%	0.26%	0.19%
20	0.05%	0.07%	0.02%	0.21%	0.24%	0.18%
19	0.04%	0.06%	0.02%	0.19%	0.22%	0.16%
18	0.04%	0.05%	0.02%	0.17%	0.2%	0.15%
17	0.03%	0.04%	0.02%	0.15%	0.17%	0.13%
16	0.03%	0.03%	0.02%	0.13%	0.14%	0.11%
15	0.02%	0.02%	0.02%	0.11%	0.12%	0.1%
14	0.02%	0.02%	0.02%	0.09%	0.1%	0.08%
13	0.02%	0.02%	0.02%	0.08%	0.09%	0.08%
12	0.01%	0.01%	0.01%	0.07%	0.08%	0.07%
11	0.009%	0.008%	0.01%	0.07%	0.08%	0.07%
10	0.01%	0.01%	0.009%	0.07%	0.07%	0.07%
9	0.01%	0.01%	0.009%	0.07%	0.08%	0.07%
8	0.01%	0.01%	0.007%	0.08%	0.08%	0.07%
7	0.009%	0.01%	0.006%	0.09%	0.09%	0.08%
6	0.008%	0.01%	0.006%	0.1%	0.1%	0.09%
5	0.008%	0.009%	0.007%	0.11%	0.12%	0.11%
4	0.01%	0.01%	0.009%	0.15%	0.15%	0.15%
3	0.01%	0.01%	0.01%	0.21%	0.21%	0.2%
2	0.02%	0.02%	0.01%	0.3%	0.29%	0.3%
1	0.02%	0.02%	0.02%	0.47%	0.44%	0.49%
0	0.23%	0.24%	0.21%	2.82%	3.15%	2.48%

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

The annual chance of dying is 0.23% in the birth year in Belarus and 2.82% in Kenya, 0.11% vs 0.42% at age 30, 1.42% vs 2.36% at 60, and 6.99% vs 8.53% at 80.

Death rate by age in Belarus vs Kenya

Chart Table

Belarus

Male

Female

Kenya

Male

Female

1x

Age	Death rate
	Belarus			Kenya
	Total	Male	Female	Total	Male	Female
100	31.7	15.8	45.8	53.6	13.4	94.3
99	261.1	117.1	386	158.4	84	232.3
98	389	171.4	577	217.5	120.1	313
97	556	243.6	826	295.7	169.3	419
96	765	336	1,135	392	232.6	547
95	1,015	447	1,506	505	311	693
94	1,303	584	1,925	631	405	851
93	1,609	749	2,356	771	514	1,023
92	1,906	933	2,757	923	638	1,207
91	2,192	1,125	3,134	1,072	767	1,378
90	2,483	1,309	3,525	1,255	920	1,598
89	2,739	1,494	3,848	1,403	1,066	1,756
88	2,946	1,685	4,084	1,565	1,223	1,933
87	3,122	1,879	4,261	1,711	1,375	2,084
86	3,241	2,060	4,335	1,852	1,523	2,224
85	3,287	2,216	4,294	1,959	1,651	2,316
84	3,275	2,344	4,170	2,058	1,776	2,391
83	3,263	2,475	4,043	2,113	1,864	2,409
82	3,291	2,633	3,959	2,159	1,941	2,415
81	3,223	2,719	3,744	2,146	1,973	2,345
80	3,104	2,743	3,479	2,192	2,033	2,362
79	3,029	2,777	3,304	2,204	2,068	2,335
78	2,940	2,831	3,096	2,244	2,116	2,353
77	2,818	2,862	2,837	2,240	2,132	2,320
76	2,656	2,825	2,563	2,243	2,160	2,313
75	2,508	2,788	2,317	2,230	2,178	2,289
74	2,421	2,814	2,124	2,212	2,183	2,248
73	2,291	2,749	1,940	2,188	2,182	2,200
72	2,159	2,640	1,774	2,166	2,180	2,156
71	2,078	2,594	1,647	2,112	2,148	2,080
70	2,000	2,560	1,521	2,099	2,153	2,048
69	1,890	2,476	1,374	2,043	2,116	1,972
68	1,816	2,423	1,274	2,012	2,102	1,922
67	1,752	2,377	1,185	1,976	2,083	1,867
66	1,657	2,296	1,064	1,944	2,067	1,816
65	1,582	2,243	967	1,921	2,060	1,776
64	1,522	2,195	896	1,844	1,998	1,682
63	1,458	2,113	838	1,770	1,935	1,595
62	1,385	2,027	781	1,699	1,873	1,515
61	1,313	1,952	720	1,618	1,792	1,432
60	1,207	1,789	665	1,560	1,739	1,366
59	1,093	1,602	619	1,477	1,648	1,294
58	1,018	1,488	579	1,416	1,584	1,236
57	965	1,415	542	1,358	1,522	1,180
56	907	1,340	501	1,307	1,469	1,132
55	830	1,238	448	1,262	1,425	1,085
54	757	1,141	394	1,215	1,373	1,042
53	707	1,076	356	1,171	1,326	1,002
52	666	998	347	1,132	1,283	967
51	630	932	339	1,084	1,231	924
50	601	899	309	1,049	1,193	892
49	556	835	279.9	997	1,133	850
48	505	756	257.8	954	1,084	811
47	468	696	240.6	910	1,034	774
46	439	647	227.3	869	988	739
45	408	597	215	834	947	710
44	376	550	196.9	794	900	679
43	347	509	179.6	761	861	653
42	324	472	169.5	730	824	628
41	302	440	157.9	699	786	605
40	277.5	409	139.4	673	757	584
39	251.4	367	129.2	639	716	559
38	229.6	330	122.8	610	682	536
37	214.9	312	112.3	580	647	511
36	197.2	287.7	101.2	549	611	487
35	177.2	258.3	91.2	521	578	464
34	158.5	231.6	82.4	489	543	436
33	145.5	213.3	75	461	510	412
32	137.2	202.7	67.8	435	481	391
31	122.2	182.1	58	409	452	367
30	107.1	159.2	51.4	390	431	351
29	98.8	143.5	51.4	367	404	332
28	88.4	127.5	46.5	346	382	311
27	77.3	113.9	38.1	326	361	293.5
26	70.4	107.2	31.4	306	340	273.1
25	66.2	102.2	28	287	322	252.9
24	61.3	93.1	27.6	268.3	303	234.5
23	54.8	82.8	25.1	250.7	285.1	216.8
22	49.6	75.4	22.3	232.9	266.5	199.6
21	48	72.9	21.8	214.5	246.6	182.5
20	47	69.5	23.2	198.6	226.6	170.5
19	43	60.5	24.5	180.2	205.8	154.3
18	37.4	51.6	22.4	162.4	185.4	139
17	31.4	42	20.1	140.3	157.5	122.8
16	25.8	31	20.3	119.7	131.5	107.6
15	21.6	24.7	18.3	102.9	111	94.6
14	18.4	20.9	15.7	87.5	93.7	81.2
13	15.5	15.7	15.4	76.9	81.8	72
12	12.2	10.5	14.1	70.4	75.3	65.4
11	9.15	8.24	10.1	67.3	72.1	62.5
10	10.2	11	9.26	66.7	70.3	63.1
9	11.7	14	9.2	69	72.4	65.5
8	9.93	12.8	6.9	74.2	78.3	70.1
7	8.54	11.2	5.74	82.4	86.7	78.1
6	8.04	10	5.91	92.5	96.3	88.6
5	8.05	9.3	6.73	109.2	111.8	106.5
4	9.51	10.1	8.91	144	146.8	141.1
3	12.9	13.5	12.3	197.9	197.7	198
2	16.3	17.9	14.5	288.3	281.8	294.8
1	20.3	16.8	23.9	454	428	480
0	226.7	244.7	207.7	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 Belarus, the most common age of death is 82, compared to 0 in Kenya. The median age of death is 78.1 in Belarus 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 Belarus and Kenya more than their death rates.

Life expectancy in other countries

+ -

1x