Life Expectancy in China vs Namibia (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Namibia

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Namibia
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	102.5	101.9	102.6
99	101	100.6	101.1	101.6	101	101.7
98	100.1	99.6	100.2	100.8	100.1	100.9
97	99.3	98.7	99.4	99.9	99.2	100
96	98.4	97.9	98.6	99.1	98.3	99.2
95	97.6	97.1	97.8	98.3	97.4	98.4
94	96.8	96.3	97	97.4	96.6	97.6
93	96	95.5	96.2	96.6	95.7	96.8
92	95.3	94.7	95.5	95.8	94.9	96
91	94.6	94	94.9	95.1	94	95.3
90	93.9	93.3	94.2	94.3	93.2	94.5
89	93.2	92.6	93.6	93.5	92.4	93.8
88	92.6	91.9	93	92.8	91.6	93.1
87	92	91.3	92.4	92	90.8	92.4
86	91.4	90.6	91.8	91.3	90	91.8
85	90.8	90	91.3	90.6	89.2	91.1
84	90.2	89.4	90.7	89.9	88.5	90.5
83	89.6	88.8	90.2	89.3	87.8	89.9
82	89.1	88.2	89.8	88.6	87.1	89.3
81	88.6	87.7	89.3	88	86.4	88.8
80	88.1	87.2	88.9	87.4	85.7	88.2
79	87.7	86.7	88.5	86.8	85.1	87.7
78	87.3	86.2	88.2	86.2	84.4	87.2
77	86.9	85.8	87.8	85.7	83.8	86.7
76	86.5	85.3	87.5	85.1	83.2	86.2
75	86.2	84.9	87.2	84.6	82.6	85.7
74	85.8	84.5	86.9	84	82.1	85.2
73	85.5	84.1	86.7	83.5	81.5	84.8
72	85.2	83.7	86.4	83	81	84.3
71	84.9	83.4	86.1	82.6	80.5	83.9
70	84.6	83	85.9	82.1	80	83.5
69	84.3	82.7	85.7	81.6	79.5	83.1
68	84	82.4	85.5	81.2	79	82.7
67	83.8	82.1	85.4	80.8	78.6	82.3
66	83.6	81.8	85.2	80.4	78.1	81.9
65	83.3	81.5	85	79.9	77.7	81.6
64	83.1	81.3	84.9	79.6	77.3	81.2
63	82.9	81	84.7	79.2	76.8	80.9
62	82.7	80.8	84.6	78.8	76.4	80.6
61	82.5	80.6	84.5	78.5	76.1	80.3
60	82.4	80.4	84.3	78.1	75.7	80
59	82.2	80.2	84.2	77.8	75.3	79.7
58	82.1	80	84.2	77.5	75	79.5
57	82	79.8	84.1	77.2	74.6	79.2
56	81.8	79.7	84	76.9	74.3	79
55	81.7	79.5	83.9	76.6	74	78.8
54	81.6	79.4	83.8	76.3	73.6	78.6
53	81.5	79.2	83.7	76.1	73.3	78.3
52	81.4	79.1	83.7	75.8	73	78.1
51	81.3	79	83.6	75.6	72.7	78
50	81.2	78.9	83.5	75.3	72.5	77.8
49	81.1	78.8	83.5	75.1	72.2	77.6
48	81	78.7	83.4	74.9	71.9	77.4
47	81	78.6	83.4	74.6	71.7	77.3
46	80.9	78.5	83.3	74.4	71.4	77.1
45	80.8	78.4	83.3	74.2	71.2	77
44	80.8	78.3	83.2	74	70.9	76.8
43	80.7	78.3	83.2	73.9	70.7	76.7
42	80.6	78.2	83.1	73.7	70.5	76.6
41	80.6	78.1	83.1	73.5	70.3	76.4
40	80.5	78.1	83.1	73.3	70.1	76.3
39	80.5	78	83	73.2	69.9	76.2
38	80.5	78	83	73	69.7	76.1
37	80.4	77.9	83	72.9	69.5	76
36	80.4	77.9	83	72.7	69.3	75.9
35	80.4	77.8	82.9	72.6	69.1	75.8
34	80.3	77.8	82.9	72.4	69	75.7
33	80.3	77.8	82.9	72.3	68.8	75.6
32	80.2	77.7	82.8	72.2	68.6	75.5
31	80.2	77.7	82.8	72.1	68.5	75.4
30	80.2	77.6	82.8	72	68.3	75.4
29	80.1	77.6	82.8	71.8	68.2	75.3
28	80.1	77.6	82.7	71.7	68.1	75.2
27	80.1	77.5	82.7	71.6	67.9	75.1
26	80	77.5	82.7	71.5	67.8	75.1
25	80	77.4	82.7	71.4	67.7	75
24	80	77.4	82.6	71.3	67.6	74.9
23	79.9	77.4	82.6	71.2	67.4	74.9
22	79.9	77.3	82.6	71.2	67.3	74.8
21	79.9	77.3	82.6	71.1	67.2	74.8
20	79.8	77.3	82.5	71	67.1	74.7
19	79.8	77.2	82.5	70.9	67	74.6
18	79.8	77.2	82.5	70.8	66.9	74.6
17	79.8	77.2	82.5	70.8	66.9	74.5
16	79.8	77.2	82.5	70.7	66.8	74.5
15	79.7	77.1	82.4	70.7	66.7	74.5
14	79.7	77.1	82.4	70.6	66.7	74.4
13	79.7	77.1	82.4	70.6	66.7	74.4
12	79.7	77.1	82.4	70.6	66.6	74.4
11	79.7	77	82.4	70.5	66.6	74.3
10	79.6	77	82.4	70.5	66.5	74.3
9	79.6	77	82.4	70.4	66.5	74.3
8	79.6	77	82.3	70.4	66.5	74.2
7	79.6	77	82.3	70.4	66.4	74.2
6	79.6	76.9	82.3	70.3	66.4	74.1
5	79.6	76.9	82.3	70.2	66.3	74.1
4	79.5	76.9	82.3	70.2	66.2	74
3	79.5	76.9	82.2	70	66.1	73.9
2	79.5	76.9	82.2	69.9	65.9	73.7
1	79.5	76.8	82.2	69.6	65.6	73.4
0	79	76.4	81.8	67.8	63.7	71.8

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 72 in Namibia, rising to 83.3 and 79.9 at 65, and to 88.1 and 87.4 at 80 — higher than the 79 and 67.8 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

Namibia

Male

Female

1x

Age	Survival probability
	China			Namibia
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	0.69%	0.09%	1.25%
99	1.33%	0.38%	2.27%	0.97%	0.15%	1.73%
98	2.06%	0.72%	3.42%	1.33%	0.23%	2.35%
97	3.08%	1.24%	4.95%	1.79%	0.35%	3.13%
96	4.43%	2%	6.91%	2.37%	0.53%	4.09%
95	6.17%	3.05%	9.37%	3.09%	0.77%	5.25%
94	8.32%	4.42%	12.3%	3.95%	1.09%	6.62%
93	10.9%	6.13%	15.8%	4.97%	1.52%	8.18%
92	13.7%	8.19%	19.4%	6.15%	2.06%	9.96%
91	16.8%	10.6%	23.3%	7.49%	2.74%	11.9%
90	20.2%	13.3%	27.4%	9.04%	3.59%	14.1%
89	23.8%	16.3%	31.6%	10.7%	4.61%	16.5%
88	27.5%	19.5%	35.8%	12.6%	5.82%	19%
87	31.4%	23%	40.2%	14.7%	7.22%	21.7%
86	35.4%	26.6%	44.5%	16.9%	8.82%	24.4%
85	39.4%	30.3%	48.8%	19.2%	10.6%	27.3%
84	43.3%	34.1%	52.9%	21.7%	12.6%	30.1%
83	47.2%	37.9%	56.8%	24.2%	14.7%	33%
82	51%	41.7%	60.5%	26.7%	17%	35.8%
81	54.5%	45.3%	64%	29.2%	19.3%	38.4%
80	57.8%	48.8%	67.1%	31.8%	21.8%	41.1%
79	60.9%	52.2%	70%	34.3%	24.4%	43.7%
78	63.8%	55.3%	72.5%	36.9%	27%	46.3%
77	66.5%	58.3%	74.9%	39.5%	29.6%	48.8%
76	69%	61.2%	77%	42%	32.2%	51.3%
75	71.3%	63.9%	79%	44.5%	34.9%	53.7%
74	73.5%	66.4%	80.8%	46.9%	37.5%	56.1%
73	75.6%	68.9%	82.5%	49.3%	40%	58.4%
72	77.5%	71.1%	84%	51.7%	42.5%	60.6%
71	79.3%	73.3%	85.5%	53.9%	44.9%	62.7%
70	80.9%	75.3%	86.7%	56.1%	47.3%	64.7%
69	82.4%	77.1%	87.8%	58.2%	49.6%	66.6%
68	83.7%	78.8%	88.8%	60.2%	51.8%	68.5%
67	84.9%	80.4%	89.6%	62.1%	54%	70.2%
66	86.1%	82%	90.5%	64%	56%	71.9%
65	87.2%	83.4%	91.2%	65.8%	58.1%	73.6%
64	88.3%	84.8%	91.9%	67.5%	60%	75.1%
63	89.2%	86%	92.6%	69.1%	61.9%	76.5%
62	90.1%	87.1%	93.1%	70.7%	63.7%	77.9%
61	90.8%	88.1%	93.6%	72.1%	65.4%	79.1%
60	91.5%	89%	94.1%	73.5%	67%	80.2%
59	92.1%	89.8%	94.5%	74.8%	68.5%	81.3%
58	92.6%	90.5%	94.8%	76%	70%	82.3%
57	93.1%	91.2%	95.1%	77.2%	71.4%	83.2%
56	93.5%	91.8%	95.4%	78.3%	72.7%	84.1%
55	94%	92.4%	95.7%	79.4%	74%	84.9%
54	94.4%	92.9%	95.9%	80.4%	75.2%	85.6%
53	94.8%	93.4%	96.2%	81.3%	76.4%	86.3%
52	95.1%	93.9%	96.4%	82.2%	77.5%	87%
51	95.4%	94.3%	96.6%	83.1%	78.6%	87.6%
50	95.7%	94.7%	96.8%	83.9%	79.6%	88.2%
49	96%	95.1%	97%	84.7%	80.6%	88.8%
48	96.2%	95.4%	97.1%	85.4%	81.5%	89.3%
47	96.4%	95.7%	97.3%	86.1%	82.4%	89.8%
46	96.6%	95.9%	97.4%	86.7%	83.2%	90.2%
45	96.8%	96.1%	97.5%	87.3%	84%	90.6%
44	97%	96.4%	97.6%	87.9%	84.7%	91%
43	97.1%	96.6%	97.7%	88.4%	85.4%	91.4%
42	97.3%	96.7%	97.8%	88.9%	86.1%	91.8%
41	97.4%	96.9%	97.9%	89.4%	86.7%	92.1%
40	97.5%	97%	98%	89.9%	87.4%	92.4%
39	97.6%	97.2%	98.1%	90.3%	87.9%	92.7%
38	97.7%	97.3%	98.1%	90.7%	88.5%	92.9%
37	97.8%	97.4%	98.2%	91.1%	89%	93.2%
36	97.9%	97.5%	98.3%	91.5%	89.5%	93.4%
35	97.9%	97.6%	98.3%	91.8%	89.9%	93.7%
34	98%	97.7%	98.4%	92.1%	90.4%	93.9%
33	98.1%	97.8%	98.4%	92.4%	90.8%	94.1%
32	98.2%	97.9%	98.5%	92.7%	91.2%	94.3%
31	98.2%	98%	98.5%	93%	91.6%	94.4%
30	98.3%	98%	98.6%	93.3%	91.9%	94.6%
29	98.4%	98.1%	98.6%	93.5%	92.2%	94.8%
28	98.4%	98.2%	98.7%	93.7%	92.6%	94.9%
27	98.5%	98.3%	98.7%	94%	92.9%	95.1%
26	98.6%	98.4%	98.8%	94.2%	93.1%	95.2%
25	98.6%	98.4%	98.8%	94.4%	93.4%	95.3%
24	98.7%	98.5%	98.9%	94.6%	93.7%	95.5%
23	98.7%	98.6%	98.9%	94.8%	93.9%	95.6%
22	98.8%	98.7%	99%	94.9%	94.2%	95.7%
21	98.8%	98.7%	99%	95.1%	94.4%	95.8%
20	98.9%	98.8%	99%	95.2%	94.6%	95.9%
19	98.9%	98.8%	99.1%	95.4%	94.8%	96%
18	99%	98.9%	99.1%	95.5%	95%	96.1%
17	99%	98.9%	99.1%	95.6%	95.1%	96.2%
16	99%	98.9%	99.1%	95.7%	95.2%	96.2%
15	99.1%	99%	99.2%	95.8%	95.3%	96.3%
14	99.1%	99%	99.2%	95.9%	95.4%	96.4%
13	99.1%	99%	99.2%	96%	95.5%	96.4%
12	99.1%	99.1%	99.2%	96%	95.6%	96.5%
11	99.2%	99.1%	99.2%	96.1%	95.6%	96.5%
10	99.2%	99.1%	99.3%	96.1%	95.7%	96.6%
9	99.2%	99.2%	99.3%	96.2%	95.8%	96.6%
8	99.3%	99.2%	99.3%	96.2%	95.8%	96.7%
7	99.3%	99.2%	99.3%	96.3%	95.9%	96.7%
6	99.3%	99.3%	99.4%	96.4%	96%	96.8%
5	99.3%	99.3%	99.4%	96.5%	96.1%	96.9%
4	99.3%	99.3%	99.4%	96.6%	96.2%	97%
3	99.4%	99.3%	99.4%	96.8%	96.4%	97.1%
2	99.4%	99.4%	99.5%	97%	96.7%	97.4%
1	99.5%	99.4%	99.5%	97.4%	97.1%	97.7%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 73.5% in Namibia are expected to live past 60, 80.9% and 56.1% past 70, 57.8% and 31.8% past 80, and only 20.2% and 9.04% 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

Namibia

Male

Female

1x

Age	Probability of dying
	China			Namibia
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	29.8%	39%	29.2%
99	38.1%	51.3%	36.1%	28.7%	37.6%	27.9%
98	35.7%	46.6%	33.6%	27%	35.8%	26.1%
97	33.1%	42.1%	30.9%	25.8%	34.4%	24.9%
96	30.5%	38.1%	28.4%	24.6%	32.9%	23.6%
95	28.2%	34.3%	26.2%	23.3%	31.4%	22.2%
94	25.9%	31%	24.1%	21.8%	29.6%	20.6%
93	23.4%	27.9%	21.7%	20.4%	28%	19.2%
92	20.8%	25.2%	19%	19.2%	26.5%	17.9%
91	18.5%	22.6%	16.6%	17.9%	24.8%	16.4%
90	16.7%	20.4%	14.9%	17.2%	23.6%	15.7%
89	15.1%	18.4%	13.3%	15.9%	22.1%	14.2%
88	13.6%	16.6%	11.9%	14.9%	20.8%	13.3%
87	12.4%	15%	10.8%	13.9%	19.4%	12.3%
86	11.2%	13.6%	9.72%	13.1%	18.1%	11.4%
85	10.1%	12.3%	8.73%	12.1%	16.9%	10.4%
84	9.17%	11.2%	7.82%	11.3%	15.7%	9.54%
83	8.24%	10.1%	6.95%	10.3%	14.5%	8.6%
82	7.35%	9.03%	6.12%	9.52%	13.4%	7.82%
81	6.51%	8.06%	5.36%	8.57%	12.2%	6.9%
80	5.75%	7.17%	4.67%	8.1%	11.4%	6.48%
79	5.09%	6.39%	4.07%	7.45%	10.4%	5.93%
78	4.52%	5.71%	3.56%	7.01%	9.66%	5.6%
77	4.03%	5.14%	3.15%	6.44%	8.83%	5.16%
76	3.62%	4.65%	2.8%	6.03%	8.16%	4.85%
75	3.27%	4.23%	2.5%	5.63%	7.53%	4.54%
74	2.98%	3.86%	2.25%	5.23%	6.93%	4.21%
73	2.69%	3.5%	2.02%	4.85%	6.38%	3.91%
72	2.45%	3.19%	1.81%	4.52%	5.89%	3.65%
71	2.26%	2.96%	1.66%	4.14%	5.37%	3.33%
70	2.04%	2.7%	1.47%	3.91%	5.03%	3.17%
69	1.76%	2.36%	1.22%	3.58%	4.6%	2.88%
68	1.58%	2.14%	1.08%	3.35%	4.28%	2.71%
67	1.48%	2.01%	1%	3.11%	3.98%	2.52%
66	1.37%	1.86%	0.91%	2.91%	3.71%	2.35%
65	1.26%	1.72%	0.83%	2.75%	3.49%	2.23%
64	1.17%	1.59%	0.76%	2.53%	3.24%	2.03%
63	1.06%	1.45%	0.69%	2.34%	3.02%	1.86%
62	0.95%	1.3%	0.61%	2.19%	2.81%	1.71%
61	0.83%	1.14%	0.53%	2.01%	2.6%	1.54%
60	0.73%	1%	0.46%	1.89%	2.44%	1.44%
59	0.64%	0.88%	0.41%	1.73%	2.24%	1.3%
58	0.57%	0.78%	0.36%	1.61%	2.09%	1.2%
57	0.52%	0.71%	0.33%	1.5%	1.95%	1.1%
56	0.48%	0.66%	0.31%	1.41%	1.84%	1.03%
55	0.45%	0.62%	0.29%	1.33%	1.73%	0.95%
54	0.43%	0.59%	0.27%	1.25%	1.63%	0.89%
53	0.41%	0.55%	0.26%	1.17%	1.54%	0.83%
52	0.38%	0.51%	0.24%	1.1%	1.45%	0.78%
51	0.34%	0.46%	0.22%	1.03%	1.36%	0.71%
50	0.3%	0.41%	0.19%	0.98%	1.29%	0.67%
49	0.27%	0.36%	0.17%	0.91%	1.2%	0.62%
48	0.24%	0.32%	0.15%	0.85%	1.13%	0.57%
47	0.22%	0.29%	0.14%	0.79%	1.05%	0.53%
46	0.2%	0.26%	0.13%	0.74%	0.99%	0.49%
45	0.18%	0.24%	0.12%	0.69%	0.93%	0.46%
44	0.17%	0.22%	0.11%	0.65%	0.87%	0.43%
43	0.16%	0.21%	0.11%	0.61%	0.82%	0.4%
42	0.14%	0.19%	0.1%	0.57%	0.78%	0.38%
41	0.13%	0.17%	0.09%	0.54%	0.73%	0.35%
40	0.12%	0.15%	0.08%	0.51%	0.7%	0.34%
39	0.1%	0.13%	0.07%	0.48%	0.66%	0.31%
38	0.1%	0.12%	0.07%	0.45%	0.62%	0.29%
37	0.09%	0.11%	0.06%	0.42%	0.58%	0.27%
36	0.08%	0.1%	0.06%	0.4%	0.55%	0.26%
35	0.08%	0.1%	0.06%	0.37%	0.52%	0.24%
34	0.08%	0.1%	0.06%	0.35%	0.48%	0.23%
33	0.08%	0.09%	0.05%	0.33%	0.45%	0.21%
32	0.07%	0.09%	0.05%	0.31%	0.43%	0.2%
31	0.07%	0.09%	0.05%	0.29%	0.4%	0.19%
30	0.07%	0.09%	0.05%	0.28%	0.38%	0.18%
29	0.07%	0.09%	0.05%	0.26%	0.36%	0.17%
28	0.07%	0.08%	0.05%	0.25%	0.34%	0.16%
27	0.07%	0.08%	0.05%	0.24%	0.33%	0.15%
26	0.07%	0.08%	0.05%	0.23%	0.31%	0.14%
25	0.06%	0.08%	0.05%	0.22%	0.29%	0.14%
24	0.06%	0.07%	0.05%	0.21%	0.28%	0.13%
23	0.06%	0.07%	0.04%	0.2%	0.27%	0.12%
22	0.05%	0.07%	0.04%	0.18%	0.25%	0.12%
21	0.05%	0.06%	0.04%	0.17%	0.23%	0.11%
20	0.05%	0.05%	0.03%	0.16%	0.22%	0.11%
19	0.04%	0.05%	0.03%	0.15%	0.2%	0.1%
18	0.04%	0.04%	0.03%	0.14%	0.18%	0.09%
17	0.03%	0.04%	0.03%	0.12%	0.15%	0.08%
16	0.03%	0.04%	0.02%	0.1%	0.13%	0.08%
15	0.03%	0.04%	0.02%	0.09%	0.11%	0.07%
14	0.03%	0.04%	0.02%	0.08%	0.09%	0.06%
13	0.03%	0.04%	0.02%	0.07%	0.08%	0.05%
12	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
11	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
10	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
9	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
8	0.03%	0.03%	0.02%	0.07%	0.08%	0.06%
7	0.02%	0.03%	0.02%	0.07%	0.08%	0.06%
6	0.02%	0.02%	0.02%	0.08%	0.09%	0.07%
5	0.02%	0.02%	0.02%	0.1%	0.11%	0.09%
4	0.02%	0.02%	0.03%	0.13%	0.14%	0.11%
3	0.03%	0.03%	0.03%	0.17%	0.19%	0.16%
2	0.04%	0.04%	0.04%	0.25%	0.27%	0.23%
1	0.05%	0.05%	0.05%	0.4%	0.42%	0.37%
0	0.54%	0.59%	0.49%	2.59%	2.91%	2.27%

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

The annual chance of dying is 0.54% in the birth year in China and 2.59% in Namibia, 0.07% vs 0.28% at age 30, 0.73% vs 1.89% at 60, and 5.75% vs 8.1% at 80.

Death rate by age in China vs Namibia

Chart Table

China

Male

Female

Namibia

Male

Female

1x

Age	Death rate
	China			Namibia
	Total	Male	Female	Total	Male	Female
100	145	0	355	148	0	287.8
99	505	196.9	819	278.1	56	484
98	735	334	1,147	358	83.2	613
97	1,018	523	1,530	462	121.9	778
96	1,350	762	1,962	583	173.8	963
95	1,738	1,046	2,458	719	241.2	1,164
94	2,153	1,368	2,972	861	324	1,362
93	2,544	1,713	3,413	1,016	425	1,568
92	2,856	2,061	3,693	1,184	546	1,780
91	3,108	2,396	3,865	1,337	680	1,951
90	3,366	2,708	4,066	1,555	849	2,215
89	3,582	2,988	4,200	1,704	1,017	2,347
88	3,745	3,232	4,268	1,888	1,207	2,524
87	3,880	3,440	4,326	2,048	1,400	2,654
86	3,965	3,608	4,325	2,209	1,600	2,779
85	3,995	3,731	4,256	2,329	1,789	2,837
84	3,972	3,803	4,134	2,442	1,982	2,876
83	3,891	3,816	3,953	2,493	2,131	2,837
82	3,745	3,764	3,707	2,541	2,274	2,798
81	3,550	3,655	3,426	2,502	2,356	2,652
80	3,328	3,503	3,132	2,572	2,492	2,664
79	3,103	3,332	2,846	2,559	2,544	2,591
78	2,884	3,160	2,586	2,587	2,607	2,594
77	2,680	2,998	2,356	2,542	2,615	2,515
76	2,497	2,846	2,155	2,530	2,630	2,486
75	2,336	2,704	1,979	2,505	2,626	2,437
74	2,190	2,566	1,823	2,455	2,594	2,361
73	2,034	2,410	1,665	2,394	2,551	2,279
72	1,895	2,269	1,525	2,338	2,504	2,210
71	1,792	2,168	1,415	2,230	2,414	2,083
70	1,654	2,034	1,272	2,195	2,378	2,050
69	1,448	1,822	1,069	2,081	2,283	1,920
68	1,325	1,689	956	2,015	2,218	1,853
67	1,260	1,614	898	1,935	2,147	1,768
66	1,179	1,527	825	1,863	2,080	1,693
65	1,103	1,438	761	1,809	2,025	1,640
64	1,030	1,348	703	1,711	1,945	1,525
63	946	1,247	635	1,621	1,867	1,422
62	853	1,133	564	1,545	1,790	1,328
61	757	1,009	498	1,453	1,697	1,218
60	668	892	436	1,392	1,635	1,155
59	590	791	383	1,293	1,537	1,056
58	527	706	342	1,224	1,465	989
57	482	645	313	1,156	1,395	919
56	451	603	292	1,103	1,336	865
55	427	572	276.5	1,053	1,283	810
54	408	546	263.3	1,002	1,227	763
53	387	518	249.2	952	1,174	716
52	360	482	231.3	908	1,125	677
51	327	438	210	855	1,068	624
50	290.9	390	187.2	820	1,027	595
49	257.4	344	166.1	766	967	548
48	229.6	306	149.2	723	917	512
47	208.9	276.7	137.2	678	868	476
46	192.8	253.9	128.1	638	824	445
45	178.6	234	119.7	605	784	420
44	165.2	215.7	111.4	569	741	392
43	152.2	198	103.3	538	705	370
42	139.1	180	95.4	511	672	350
41	126	161.9	87.5	480	636	325
40	113.4	144.6	79.7	460	611	310
39	102.3	129.3	72.9	432	576	289
38	93	116.7	67.2	410	547	272.6
37	86	107.2	62.7	386	518	254.3
36	81	100.6	59.2	364	490	240.1
35	77.6	96.3	56.7	344	464	226.1
34	75.4	93.5	55	323	437	211.5
33	73.9	91.7	53.8	305	412	199.3
32	72.9	90.3	53	288.7	390	188.3
31	71.6	88.7	51.9	272.1	368	175.9
30	70	86.7	50.7	261.3	352	169.4
29	68.3	84.6	49.4	246.8	333	159.9
28	67	82.9	48.7	235	317	151.8
27	65.8	81	48.1	224.2	302	144.3
26	64.1	78.3	47.4	213.4	287.6	137
25	62.2	75.4	46.7	203.7	275.5	130.1
24	60.3	72.7	45.8	194.2	262.3	124.2
23	57.6	69	44.1	185.1	249.9	118.1
22	53.9	64.4	41.5	175.5	236.2	112.3
21	49.4	59.1	38.1	165	221	106.6
20	44.8	53.7	34.3	154.6	205.2	102.1
19	40.4	48.5	30.8	142.3	188	95.9
18	36.6	44.2	27.6	129.6	170.1	89.2
17	33.6	40.9	25	113	144.7	81.4
16	31.4	38.5	23.1	97.5	121.5	73.6
15	30	36.9	21.9	83.7	102.1	65.4
14	29.2	35.9	21.3	72	86.5	57.7
13	28.7	35.2	21.2	63.9	75.6	52.3
12	28.2	34.1	21.3	59.1	69.7	48.5
11	27.5	32.7	21.6	56.8	66.7	47
10	27.6	32	22.6	56.4	65.4	47.5
9	27.6	31.1	23.5	58.5	67.3	49.8
8	26.3	28.8	23.3	63.4	72.6	54.2
7	24.2	25.8	22.4	70.9	80.4	61.3
6	22.5	23.1	21.8	80.2	89.3	71
5	22.3	22.3	22.4	94.8	103.8	85.7
4	24.6	24.2	25	123.5	135.3	111.5
3	29.6	29.3	29.9	167.8	182.9	152.6
2	36.1	35.9	36.3	241.7	261.2	222.1
1	45.9	46.8	44.9	385	404	366
0	540	585	490	2,592	2,914	2,268

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 Namibia. The median age of death is 82.3 in China and 72.7 in Namibia, 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 Namibia more than their death rates.

Life expectancy in other countries

+ -

1x