Life Expectancy in China vs Kenya (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Kenya

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Kenya
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	102.2	102	102.2
99	101	100.6	101.1	101.3	101.1	101.4
98	100.1	99.6	100.2	100.4	100.2	100.5
97	99.3	98.7	99.4	99.5	99.4	99.6
96	98.4	97.9	98.6	98.7	98.5	98.8
95	97.6	97.1	97.8	97.8	97.6	97.9
94	96.8	96.3	97	97	96.8	97.1
93	96	95.5	96.2	96.2	95.9	96.3
92	95.3	94.7	95.5	95.4	95.1	95.5
91	94.6	94	94.9	94.6	94.3	94.7
90	93.9	93.3	94.2	93.8	93.5	94
89	93.2	92.6	93.6	93	92.7	93.2
88	92.6	91.9	93	92.3	91.9	92.5
87	92	91.3	92.4	91.6	91.1	91.8
86	91.4	90.6	91.8	90.8	90.4	91.1
85	90.8	90	91.3	90.1	89.7	90.4
84	90.2	89.4	90.7	89.5	89	89.7
83	89.6	88.8	90.2	88.8	88.3	89.1
82	89.1	88.2	89.8	88.2	87.6	88.5
81	88.6	87.7	89.3	87.6	87	87.9
80	88.1	87.2	88.9	87	86.3	87.4
79	87.7	86.7	88.5	86.4	85.7	86.8
78	87.3	86.2	88.2	85.8	85.1	86.3
77	86.9	85.8	87.8	85.2	84.5	85.7
76	86.5	85.3	87.5	84.6	83.9	85.2
75	86.2	84.9	87.2	84.1	83.3	84.7
74	85.8	84.5	86.9	83.6	82.8	84.2
73	85.5	84.1	86.7	83	82.2	83.7
72	85.2	83.7	86.4	82.5	81.6	83.2
71	84.9	83.4	86.1	82	81.1	82.7
70	84.6	83	85.9	81.5	80.5	82.2
69	84.3	82.7	85.7	81	80	81.8
68	84	82.4	85.5	80.5	79.5	81.3
67	83.8	82.1	85.4	80	79	80.9
66	83.6	81.8	85.2	79.5	78.5	80.5
65	83.3	81.5	85	79.1	78	80
64	83.1	81.3	84.9	78.6	77.5	79.6
63	82.9	81	84.7	78.2	77	79.2
62	82.7	80.8	84.6	77.8	76.5	78.9
61	82.5	80.6	84.5	77.4	76.1	78.5
60	82.4	80.4	84.3	77	75.6	78.2
59	82.2	80.2	84.2	76.6	75.2	77.8
58	82.1	80	84.2	76.2	74.8	77.5
57	82	79.8	84.1	75.8	74.4	77.2
56	81.8	79.7	84	75.5	74	76.9
55	81.7	79.5	83.9	75.1	73.7	76.6
54	81.6	79.4	83.8	74.8	73.3	76.3
53	81.5	79.2	83.7	74.5	72.9	76
52	81.4	79.1	83.7	74.1	72.6	75.7
51	81.3	79	83.6	73.8	72.2	75.4
50	81.2	78.9	83.5	73.5	71.9	75.1
49	81.1	78.8	83.5	73.2	71.6	74.9
48	81	78.7	83.4	72.9	71.2	74.6
47	81	78.6	83.4	72.6	70.9	74.4
46	80.9	78.5	83.3	72.4	70.6	74.1
45	80.8	78.4	83.3	72.1	70.3	73.9
44	80.8	78.3	83.2	71.8	70.1	73.6
43	80.7	78.3	83.2	71.6	69.8	73.4
42	80.6	78.2	83.1	71.3	69.5	73.2
41	80.6	78.1	83.1	71.1	69.2	73
40	80.5	78.1	83.1	70.8	69	72.8
39	80.5	78	83	70.6	68.7	72.5
38	80.5	78	83	70.4	68.5	72.3
37	80.4	77.9	83	70.2	68.3	72.1
36	80.4	77.9	83	70	68.1	71.9
35	80.4	77.8	82.9	69.8	67.8	71.8
34	80.3	77.8	82.9	69.6	67.6	71.6
33	80.3	77.8	82.9	69.4	67.5	71.4
32	80.2	77.7	82.8	69.2	67.3	71.2
31	80.2	77.7	82.8	69.1	67.1	71.1
30	80.2	77.6	82.8	68.9	66.9	70.9
29	80.1	77.6	82.8	68.7	66.7	70.8
28	80.1	77.6	82.7	68.6	66.6	70.6
27	80.1	77.5	82.7	68.4	66.4	70.5
26	80	77.5	82.7	68.3	66.3	70.4
25	80	77.4	82.7	68.2	66.1	70.3
24	80	77.4	82.6	68	66	70.1
23	79.9	77.4	82.6	67.9	65.9	70
22	79.9	77.3	82.6	67.8	65.8	69.9
21	79.9	77.3	82.6	67.7	65.6	69.8
20	79.8	77.3	82.5	67.6	65.5	69.8
19	79.8	77.2	82.5	67.5	65.4	69.7
18	79.8	77.2	82.5	67.4	65.3	69.6
17	79.8	77.2	82.5	67.4	65.3	69.5
16	79.8	77.2	82.5	67.3	65.2	69.5
15	79.7	77.1	82.4	67.2	65.1	69.4
14	79.7	77.1	82.4	67.2	65.1	69.4
13	79.7	77.1	82.4	67.1	65	69.3
12	79.7	77.1	82.4	67.1	65	69.3
11	79.7	77	82.4	67.1	65	69.3
10	79.6	77	82.4	67	64.9	69.2
9	79.6	77	82.4	67	64.9	69.2
8	79.6	77	82.3	66.9	64.8	69.1
7	79.6	77	82.3	66.9	64.8	69.1
6	79.6	76.9	82.3	66.8	64.7	69
5	79.6	76.9	82.3	66.8	64.7	69
4	79.5	76.9	82.3	66.7	64.6	68.9
3	79.5	76.9	82.2	66.5	64.4	68.7
2	79.5	76.9	82.2	66.3	64.3	68.5
1	79.5	76.8	82.2	66	64	68.2
0	79	76.4	81.8	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 China can expect to live to 80.2 years compared to 68.9 in Kenya, rising to 83.3 and 79.1 at 65, and to 88.1 and 87 at 80 — higher than the 79 and 64.2 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

Kenya

Male

Female

1x

Age	Survival probability
	China			Kenya
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	0.32%	0.15%	0.49%
99	1.33%	0.38%	2.27%	0.48%	0.24%	0.72%
98	2.06%	0.72%	3.42%	0.69%	0.36%	1.03%
97	3.08%	1.24%	4.95%	0.99%	0.53%	1.45%
96	4.43%	2%	6.91%	1.38%	0.76%	2%
95	6.17%	3.05%	9.37%	1.89%	1.07%	2.69%
94	8.32%	4.42%	12.3%	2.52%	1.48%	3.54%
93	10.9%	6.13%	15.8%	3.29%	1.99%	4.57%
92	13.7%	8.19%	19.4%	4.21%	2.63%	5.77%
91	16.8%	10.6%	23.3%	5.28%	3.39%	7.15%
90	20.2%	13.3%	27.4%	6.54%	4.31%	8.75%
89	23.8%	16.3%	31.6%	7.94%	5.38%	10.5%
88	27.5%	19.5%	35.8%	9.51%	6.6%	12.4%
87	31.4%	23%	40.2%	11.2%	7.98%	14.5%
86	35.4%	26.6%	44.5%	13.1%	9.5%	16.7%
85	39.4%	30.3%	48.8%	15%	11.2%	19.1%
84	43.3%	34.1%	52.9%	17.1%	12.9%	21.5%
83	47.2%	37.9%	56.8%	19.2%	14.8%	23.9%
82	51%	41.7%	60.5%	21.4%	16.7%	26.3%
81	54.5%	45.3%	64%	23.5%	18.7%	28.6%
80	57.8%	48.8%	67.1%	25.7%	20.7%	31%
79	60.9%	52.2%	70%	27.9%	22.8%	33.3%
78	63.8%	55.3%	72.5%	30.1%	24.9%	35.7%
77	66.5%	58.3%	74.9%	32.4%	27.1%	38%
76	69%	61.2%	77%	34.6%	29.2%	40.3%
75	71.3%	63.9%	79%	36.9%	31.4%	42.6%
74	73.5%	66.4%	80.8%	39.1%	33.6%	44.8%
73	75.6%	68.9%	82.5%	41.3%	35.8%	47%
72	77.5%	71.1%	84%	43.4%	37.9%	49.2%
71	79.3%	73.3%	85.5%	45.5%	40.1%	51.3%
70	80.9%	75.3%	86.7%	47.6%	42.2%	53.3%
69	82.4%	77.1%	87.8%	49.7%	44.4%	55.3%
68	83.7%	78.8%	88.8%	51.7%	46.5%	57.2%
67	84.9%	80.4%	89.6%	53.7%	48.5%	59.1%
66	86.1%	82%	90.5%	55.6%	50.6%	60.9%
65	87.2%	83.4%	91.2%	57.5%	52.7%	62.7%
64	88.3%	84.8%	91.9%	59.4%	54.7%	64.4%
63	89.2%	86%	92.6%	61.1%	56.6%	66%
62	90.1%	87.1%	93.1%	62.8%	58.5%	67.5%
61	90.8%	88.1%	93.6%	64.5%	60.3%	68.9%
60	91.5%	89%	94.1%	66%	62%	70.3%
59	92.1%	89.8%	94.5%	67.5%	63.7%	71.6%
58	92.6%	90.5%	94.8%	68.9%	65.2%	72.8%
57	93.1%	91.2%	95.1%	70.3%	66.8%	74%
56	93.5%	91.8%	95.4%	71.6%	68.2%	75.1%
55	94%	92.4%	95.7%	72.8%	69.7%	76.2%
54	94.4%	92.9%	95.9%	74.1%	71%	77.2%
53	94.8%	93.4%	96.2%	75.2%	72.4%	78.2%
52	95.1%	93.9%	96.4%	76.4%	73.6%	79.2%
51	95.4%	94.3%	96.6%	77.4%	74.9%	80.1%
50	95.7%	94.7%	96.8%	78.5%	76.1%	81%
49	96%	95.1%	97%	79.5%	77.2%	81.9%
48	96.2%	95.4%	97.1%	80.4%	78.3%	82.7%
47	96.4%	95.7%	97.3%	81.4%	79.3%	83.5%
46	96.6%	95.9%	97.4%	82.2%	80.3%	84.2%
45	96.8%	96.1%	97.5%	83.1%	81.2%	84.9%
44	97%	96.4%	97.6%	83.9%	82.1%	85.6%
43	97.1%	96.6%	97.7%	84.6%	83%	86.2%
42	97.3%	96.7%	97.8%	85.3%	83.8%	86.9%
41	97.4%	96.9%	97.9%	86%	84.6%	87.5%
40	97.5%	97%	98%	86.7%	85.4%	88.1%
39	97.6%	97.2%	98.1%	87.4%	86.1%	88.6%
38	97.7%	97.3%	98.1%	88%	86.8%	89.1%
37	97.8%	97.4%	98.2%	88.5%	87.4%	89.7%
36	97.9%	97.5%	98.3%	89.1%	88%	90.1%
35	97.9%	97.6%	98.3%	89.6%	88.6%	90.6%
34	98%	97.7%	98.4%	90.1%	89.2%	91%
33	98.1%	97.8%	98.4%	90.6%	89.7%	91.5%
32	98.2%	97.9%	98.5%	91%	90.1%	91.9%
31	98.2%	98%	98.5%	91.4%	90.6%	92.2%
30	98.3%	98%	98.6%	91.8%	91%	92.6%
29	98.4%	98.1%	98.6%	92.2%	91.4%	92.9%
28	98.4%	98.2%	98.7%	92.5%	91.8%	93.2%
27	98.5%	98.3%	98.7%	92.8%	92.2%	93.5%
26	98.6%	98.4%	98.8%	93.1%	92.5%	93.8%
25	98.6%	98.4%	98.8%	93.4%	92.8%	94%
24	98.7%	98.5%	98.9%	93.7%	93.1%	94.3%
23	98.7%	98.6%	98.9%	94%	93.4%	94.5%
22	98.8%	98.7%	99%	94.2%	93.7%	94.7%
21	98.8%	98.7%	99%	94.4%	93.9%	94.9%
20	98.9%	98.8%	99%	94.6%	94.2%	95%
19	98.9%	98.8%	99.1%	94.8%	94.4%	95.2%
18	99%	98.9%	99.1%	94.9%	94.6%	95.3%
17	99%	98.9%	99.1%	95.1%	94.7%	95.5%
16	99%	98.9%	99.1%	95.2%	94.8%	95.6%
15	99.1%	99%	99.2%	95.3%	95%	95.7%
14	99.1%	99%	99.2%	95.4%	95%	95.7%
13	99.1%	99%	99.2%	95.5%	95.1%	95.8%
12	99.1%	99.1%	99.2%	95.5%	95.2%	95.9%
11	99.2%	99.1%	99.2%	95.6%	95.3%	95.9%
10	99.2%	99.1%	99.3%	95.7%	95.3%	96%
9	99.2%	99.2%	99.3%	95.7%	95.4%	96.1%
8	99.3%	99.2%	99.3%	95.8%	95.5%	96.1%
7	99.3%	99.2%	99.3%	95.9%	95.6%	96.2%
6	99.3%	99.3%	99.4%	96%	95.7%	96.3%
5	99.3%	99.3%	99.4%	96.1%	95.8%	96.4%
4	99.3%	99.3%	99.4%	96.2%	95.9%	96.5%
3	99.4%	99.3%	99.4%	96.4%	96.1%	96.7%
2	99.4%	99.4%	99.5%	96.7%	96.4%	97%
1	99.5%	99.4%	99.5%	97.2%	96.8%	97.5%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 66% in Kenya are expected to live past 60, 80.9% and 47.6% past 70, 57.8% and 25.7% past 80, and only 20.2% 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

China

Male

Female

Kenya

Male

Female

1x

Age	Probability of dying
	China			Kenya
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	34.7%	36.8%	33.8%
99	38.1%	51.3%	36.1%	33.2%	35.4%	32.3%
98	35.7%	46.6%	33.6%	31.3%	33.6%	30.4%
97	33.1%	42.1%	30.9%	29.9%	32.1%	28.9%
96	30.5%	38.1%	28.4%	28.3%	30.6%	27.4%
95	28.2%	34.3%	26.2%	26.7%	29.1%	25.8%
94	25.9%	31%	24.1%	25.1%	27.5%	24%
93	23.4%	27.9%	21.7%	23.4%	25.8%	22.4%
92	20.8%	25.2%	19%	21.9%	24.3%	20.9%
91	18.5%	22.6%	16.6%	20.3%	22.6%	19.3%
90	16.7%	20.4%	14.9%	19.2%	21.3%	18.3%
89	15.1%	18.4%	13.3%	17.7%	19.8%	16.7%
88	13.6%	16.6%	11.9%	16.5%	18.5%	15.5%
87	12.4%	15%	10.8%	15.3%	17.2%	14.3%
86	11.2%	13.6%	9.72%	14.2%	16%	13.3%
85	10.1%	12.3%	8.73%	13%	14.8%	12.2%
84	9.17%	11.2%	7.82%	12%	13.7%	11.1%
83	8.24%	10.1%	6.95%	11%	12.6%	10.1%
82	7.35%	9.03%	6.12%	10.1%	11.6%	9.19%
81	6.51%	8.06%	5.36%	9.13%	10.5%	8.19%
80	5.75%	7.17%	4.67%	8.53%	9.8%	7.62%
79	5.09%	6.39%	4.07%	7.9%	9.07%	7.01%
78	4.52%	5.71%	3.56%	7.44%	8.49%	6.6%
77	4.03%	5.14%	3.15%	6.92%	7.88%	6.11%
76	3.62%	4.65%	2.8%	6.48%	7.39%	5.74%
75	3.27%	4.23%	2.5%	6.05%	6.94%	5.37%
74	2.98%	3.86%	2.25%	5.66%	6.5%	5.01%
73	2.69%	3.5%	2.02%	5.3%	6.1%	4.68%
72	2.45%	3.19%	1.81%	4.99%	5.75%	4.38%
71	2.26%	2.96%	1.66%	4.64%	5.36%	4.06%
70	2.04%	2.7%	1.47%	4.41%	5.1%	3.84%
69	1.76%	2.36%	1.22%	4.11%	4.77%	3.57%
68	1.58%	2.14%	1.08%	3.89%	4.52%	3.36%
67	1.48%	2.01%	1%	3.68%	4.29%	3.16%
66	1.37%	1.86%	0.91%	3.5%	4.08%	2.98%
65	1.26%	1.72%	0.83%	3.34%	3.91%	2.83%
64	1.17%	1.59%	0.76%	3.11%	3.65%	2.61%
63	1.06%	1.45%	0.69%	2.9%	3.42%	2.42%
62	0.95%	1.3%	0.61%	2.7%	3.2%	2.25%
61	0.83%	1.14%	0.53%	2.51%	2.97%	2.08%
60	0.73%	1%	0.46%	2.36%	2.81%	1.94%
59	0.64%	0.88%	0.41%	2.19%	2.59%	1.81%
58	0.57%	0.78%	0.36%	2.05%	2.43%	1.7%
57	0.52%	0.71%	0.33%	1.93%	2.28%	1.59%
56	0.48%	0.66%	0.31%	1.83%	2.15%	1.51%
55	0.45%	0.62%	0.29%	1.73%	2.05%	1.42%
54	0.43%	0.59%	0.27%	1.64%	1.93%	1.35%
53	0.41%	0.55%	0.26%	1.56%	1.83%	1.28%
52	0.38%	0.51%	0.24%	1.48%	1.74%	1.22%
51	0.34%	0.46%	0.22%	1.4%	1.64%	1.15%
50	0.3%	0.41%	0.19%	1.34%	1.57%	1.1%
49	0.27%	0.36%	0.17%	1.25%	1.47%	1.04%
48	0.24%	0.32%	0.15%	1.19%	1.38%	0.98%
47	0.22%	0.29%	0.14%	1.12%	1.3%	0.93%
46	0.2%	0.26%	0.13%	1.06%	1.23%	0.88%
45	0.18%	0.24%	0.12%	1%	1.17%	0.84%
44	0.17%	0.22%	0.11%	0.95%	1.1%	0.79%
43	0.16%	0.21%	0.11%	0.9%	1.04%	0.76%
42	0.14%	0.19%	0.1%	0.86%	0.98%	0.72%
41	0.13%	0.17%	0.09%	0.81%	0.93%	0.69%
40	0.12%	0.15%	0.08%	0.78%	0.89%	0.66%
39	0.1%	0.13%	0.07%	0.73%	0.83%	0.63%
38	0.1%	0.12%	0.07%	0.69%	0.79%	0.6%
37	0.09%	0.11%	0.06%	0.65%	0.74%	0.57%
36	0.08%	0.1%	0.06%	0.62%	0.69%	0.54%
35	0.08%	0.1%	0.06%	0.58%	0.65%	0.51%
34	0.08%	0.1%	0.06%	0.54%	0.61%	0.48%
33	0.08%	0.09%	0.05%	0.51%	0.57%	0.45%
32	0.07%	0.09%	0.05%	0.48%	0.53%	0.43%
31	0.07%	0.09%	0.05%	0.45%	0.5%	0.4%
30	0.07%	0.09%	0.05%	0.42%	0.47%	0.38%
29	0.07%	0.09%	0.05%	0.4%	0.44%	0.36%
28	0.07%	0.08%	0.05%	0.37%	0.42%	0.33%
27	0.07%	0.08%	0.05%	0.35%	0.39%	0.31%
26	0.07%	0.08%	0.05%	0.33%	0.37%	0.29%
25	0.06%	0.08%	0.05%	0.31%	0.35%	0.27%
24	0.06%	0.07%	0.05%	0.29%	0.32%	0.25%
23	0.06%	0.07%	0.04%	0.27%	0.31%	0.23%
22	0.05%	0.07%	0.04%	0.25%	0.28%	0.21%
21	0.05%	0.06%	0.04%	0.23%	0.26%	0.19%
20	0.05%	0.05%	0.03%	0.21%	0.24%	0.18%
19	0.04%	0.05%	0.03%	0.19%	0.22%	0.16%
18	0.04%	0.04%	0.03%	0.17%	0.2%	0.15%
17	0.03%	0.04%	0.03%	0.15%	0.17%	0.13%
16	0.03%	0.04%	0.02%	0.13%	0.14%	0.11%
15	0.03%	0.04%	0.02%	0.11%	0.12%	0.1%
14	0.03%	0.04%	0.02%	0.09%	0.1%	0.08%
13	0.03%	0.04%	0.02%	0.08%	0.09%	0.08%
12	0.03%	0.03%	0.02%	0.07%	0.08%	0.07%
11	0.03%	0.03%	0.02%	0.07%	0.08%	0.07%
10	0.03%	0.03%	0.02%	0.07%	0.07%	0.07%
9	0.03%	0.03%	0.02%	0.07%	0.08%	0.07%
8	0.03%	0.03%	0.02%	0.08%	0.08%	0.07%
7	0.02%	0.03%	0.02%	0.09%	0.09%	0.08%
6	0.02%	0.02%	0.02%	0.1%	0.1%	0.09%
5	0.02%	0.02%	0.02%	0.11%	0.12%	0.11%
4	0.02%	0.02%	0.03%	0.15%	0.15%	0.15%
3	0.03%	0.03%	0.03%	0.21%	0.21%	0.2%
2	0.04%	0.04%	0.04%	0.3%	0.29%	0.3%
1	0.05%	0.05%	0.05%	0.47%	0.44%	0.49%
0	0.54%	0.59%	0.49%	2.82%	3.15%	2.48%

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

The annual chance of dying is 0.54% in the birth year in China and 2.82% in Kenya, 0.07% vs 0.42% at age 30, 0.73% vs 2.36% at 60, and 5.75% vs 8.53% at 80.

Death rate by age in China vs Kenya

Chart Table

China

Male

Female

Kenya

Male

Female

1x

Age	Death rate
	China			Kenya
	Total	Male	Female	Total	Male	Female
100	145	0	355	53.6	13.4	94.3
99	505	196.9	819	158.4	84	232.3
98	735	334	1,147	217.5	120.1	313
97	1,018	523	1,530	295.7	169.3	419
96	1,350	762	1,962	392	232.6	547
95	1,738	1,046	2,458	505	311	693
94	2,153	1,368	2,972	631	405	851
93	2,544	1,713	3,413	771	514	1,023
92	2,856	2,061	3,693	923	638	1,207
91	3,108	2,396	3,865	1,072	767	1,378
90	3,366	2,708	4,066	1,255	920	1,598
89	3,582	2,988	4,200	1,403	1,066	1,756
88	3,745	3,232	4,268	1,565	1,223	1,933
87	3,880	3,440	4,326	1,711	1,375	2,084
86	3,965	3,608	4,325	1,852	1,523	2,224
85	3,995	3,731	4,256	1,959	1,651	2,316
84	3,972	3,803	4,134	2,058	1,776	2,391
83	3,891	3,816	3,953	2,113	1,864	2,409
82	3,745	3,764	3,707	2,159	1,941	2,415
81	3,550	3,655	3,426	2,146	1,973	2,345
80	3,328	3,503	3,132	2,192	2,033	2,362
79	3,103	3,332	2,846	2,204	2,068	2,335
78	2,884	3,160	2,586	2,244	2,116	2,353
77	2,680	2,998	2,356	2,240	2,132	2,320
76	2,497	2,846	2,155	2,243	2,160	2,313
75	2,336	2,704	1,979	2,230	2,178	2,289
74	2,190	2,566	1,823	2,212	2,183	2,248
73	2,034	2,410	1,665	2,188	2,182	2,200
72	1,895	2,269	1,525	2,166	2,180	2,156
71	1,792	2,168	1,415	2,112	2,148	2,080
70	1,654	2,034	1,272	2,099	2,153	2,048
69	1,448	1,822	1,069	2,043	2,116	1,972
68	1,325	1,689	956	2,012	2,102	1,922
67	1,260	1,614	898	1,976	2,083	1,867
66	1,179	1,527	825	1,944	2,067	1,816
65	1,103	1,438	761	1,921	2,060	1,776
64	1,030	1,348	703	1,844	1,998	1,682
63	946	1,247	635	1,770	1,935	1,595
62	853	1,133	564	1,699	1,873	1,515
61	757	1,009	498	1,618	1,792	1,432
60	668	892	436	1,560	1,739	1,366
59	590	791	383	1,477	1,648	1,294
58	527	706	342	1,416	1,584	1,236
57	482	645	313	1,358	1,522	1,180
56	451	603	292	1,307	1,469	1,132
55	427	572	276.5	1,262	1,425	1,085
54	408	546	263.3	1,215	1,373	1,042
53	387	518	249.2	1,171	1,326	1,002
52	360	482	231.3	1,132	1,283	967
51	327	438	210	1,084	1,231	924
50	290.9	390	187.2	1,049	1,193	892
49	257.4	344	166.1	997	1,133	850
48	229.6	306	149.2	954	1,084	811
47	208.9	276.7	137.2	910	1,034	774
46	192.8	253.9	128.1	869	988	739
45	178.6	234	119.7	834	947	710
44	165.2	215.7	111.4	794	900	679
43	152.2	198	103.3	761	861	653
42	139.1	180	95.4	730	824	628
41	126	161.9	87.5	699	786	605
40	113.4	144.6	79.7	673	757	584
39	102.3	129.3	72.9	639	716	559
38	93	116.7	67.2	610	682	536
37	86	107.2	62.7	580	647	511
36	81	100.6	59.2	549	611	487
35	77.6	96.3	56.7	521	578	464
34	75.4	93.5	55	489	543	436
33	73.9	91.7	53.8	461	510	412
32	72.9	90.3	53	435	481	391
31	71.6	88.7	51.9	409	452	367
30	70	86.7	50.7	390	431	351
29	68.3	84.6	49.4	367	404	332
28	67	82.9	48.7	346	382	311
27	65.8	81	48.1	326	361	293.5
26	64.1	78.3	47.4	306	340	273.1
25	62.2	75.4	46.7	287	322	252.9
24	60.3	72.7	45.8	268.3	303	234.5
23	57.6	69	44.1	250.7	285.1	216.8
22	53.9	64.4	41.5	232.9	266.5	199.6
21	49.4	59.1	38.1	214.5	246.6	182.5
20	44.8	53.7	34.3	198.6	226.6	170.5
19	40.4	48.5	30.8	180.2	205.8	154.3
18	36.6	44.2	27.6	162.4	185.4	139
17	33.6	40.9	25	140.3	157.5	122.8
16	31.4	38.5	23.1	119.7	131.5	107.6
15	30	36.9	21.9	102.9	111	94.6
14	29.2	35.9	21.3	87.5	93.7	81.2
13	28.7	35.2	21.2	76.9	81.8	72
12	28.2	34.1	21.3	70.4	75.3	65.4
11	27.5	32.7	21.6	67.3	72.1	62.5
10	27.6	32	22.6	66.7	70.3	63.1
9	27.6	31.1	23.5	69	72.4	65.5
8	26.3	28.8	23.3	74.2	78.3	70.1
7	24.2	25.8	22.4	82.4	86.7	78.1
6	22.5	23.1	21.8	92.5	96.3	88.6
5	22.3	22.3	22.4	109.2	111.8	106.5
4	24.6	24.2	25	144	146.8	141.1
3	29.6	29.3	29.9	197.9	197.7	198
2	36.1	35.9	36.3	288.3	281.8	294.8
1	45.9	46.8	44.9	454	428	480
0	540	585	490	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 China, the most common age of death is 85, compared to 0 in Kenya. The median age of death is 82.3 in China 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 China and Kenya more than their death rates.

Life expectancy in other countries

+ -

1x