Life Expectancy in China vs Equatorial Guinea (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Equatorial Guinea

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	101.9	101.8	101.9
99	101	100.6	101.1	101	100.9	101
98	100.1	99.6	100.2	100.1	100.1	100.1
97	99.3	98.7	99.4	99.2	99.2	99.2
96	98.4	97.9	98.6	98.3	98.3	98.3
95	97.6	97.1	97.8	97.4	97.4	97.4
94	96.8	96.3	97	96.5	96.5	96.5
93	96	95.5	96.2	95.7	95.6	95.7
92	95.3	94.7	95.5	94.8	94.8	94.9
91	94.6	94	94.9	94	94	94
90	93.9	93.3	94.2	93.2	93.1	93.2
89	93.2	92.6	93.6	92.4	92.3	92.4
88	92.6	91.9	93	91.6	91.5	91.6
87	92	91.3	92.4	90.8	90.7	90.9
86	91.4	90.6	91.8	90	89.9	90.1
85	90.8	90	91.3	89.3	89.2	89.4
84	90.2	89.4	90.7	88.6	88.4	88.7
83	89.6	88.8	90.2	87.9	87.7	88
82	89.1	88.2	89.8	87.2	87	87.3
81	88.6	87.7	89.3	86.5	86.3	86.6
80	88.1	87.2	88.9	85.8	85.6	86
79	87.7	86.7	88.5	85.2	85	85.4
78	87.3	86.2	88.2	84.6	84.4	84.8
77	86.9	85.8	87.8	84	83.7	84.2
76	86.5	85.3	87.5	83.4	83.1	83.7
75	86.2	84.9	87.2	82.9	82.6	83.1
74	85.8	84.5	86.9	82.3	82	82.6
73	85.5	84.1	86.7	81.8	81.4	82.1
72	85.2	83.7	86.4	81.3	80.9	81.6
71	84.9	83.4	86.1	80.8	80.4	81.2
70	84.6	83	85.9	80.3	79.9	80.7
69	84.3	82.7	85.7	79.9	79.4	80.3
68	84	82.4	85.5	79.5	79	79.9
67	83.8	82.1	85.4	79	78.6	79.5
66	83.6	81.8	85.2	78.7	78.1	79.2
65	83.3	81.5	85	78.3	77.7	78.8
64	83.1	81.3	84.9	77.9	77.3	78.5
63	82.9	81	84.7	77.5	76.9	78.1
62	82.7	80.8	84.6	77.2	76.6	77.8
61	82.5	80.6	84.5	76.9	76.2	77.6
60	82.4	80.4	84.3	76.6	75.9	77.3
59	82.2	80.2	84.2	76.3	75.6	77
58	82.1	80	84.2	76	75.2	76.8
57	82	79.8	84.1	75.7	74.9	76.5
56	81.8	79.7	84	75.4	74.7	76.3
55	81.7	79.5	83.9	75.2	74.4	76.1
54	81.6	79.4	83.8	74.9	74.1	75.9
53	81.5	79.2	83.7	74.7	73.8	75.6
52	81.4	79.1	83.7	74.5	73.6	75.4
51	81.3	79	83.6	74.2	73.3	75.3
50	81.2	78.9	83.5	74	73.1	75.1
49	81.1	78.8	83.5	73.8	72.9	74.9
48	81	78.7	83.4	73.6	72.7	74.7
47	81	78.6	83.4	73.4	72.5	74.6
46	80.9	78.5	83.3	73.2	72.3	74.4
45	80.8	78.4	83.3	73.1	72.1	74.2
44	80.8	78.3	83.2	72.9	71.9	74.1
43	80.7	78.3	83.2	72.7	71.7	73.9
42	80.6	78.2	83.1	72.5	71.5	73.8
41	80.6	78.1	83.1	72.4	71.4	73.7
40	80.5	78.1	83.1	72.2	71.2	73.5
39	80.5	78	83	72.1	71	73.4
38	80.5	78	83	72	70.9	73.3
37	80.4	77.9	83	71.8	70.7	73.2
36	80.4	77.9	83	71.7	70.6	73
35	80.4	77.8	82.9	71.6	70.4	72.9
34	80.3	77.8	82.9	71.4	70.3	72.8
33	80.3	77.8	82.9	71.3	70.2	72.7
32	80.2	77.7	82.8	71.2	70.1	72.6
31	80.2	77.7	82.8	71.1	69.9	72.5
30	80.2	77.6	82.8	71	69.8	72.4
29	80.1	77.6	82.8	70.8	69.7	72.3
28	80.1	77.6	82.7	70.7	69.6	72.2
27	80.1	77.5	82.7	70.6	69.4	72.1
26	80	77.5	82.7	70.5	69.3	72
25	80	77.4	82.7	70.4	69.2	71.9
24	80	77.4	82.6	70.3	69.1	71.8
23	79.9	77.4	82.6	70.2	68.9	71.8
22	79.9	77.3	82.6	70.1	68.8	71.7
21	79.9	77.3	82.6	70	68.7	71.6
20	79.8	77.3	82.5	69.9	68.6	71.5
19	79.8	77.2	82.5	69.8	68.5	71.4
18	79.8	77.2	82.5	69.7	68.4	71.4
17	79.8	77.2	82.5	69.6	68.3	71.3
16	79.8	77.2	82.5	69.6	68.2	71.2
15	79.7	77.1	82.4	69.5	68.2	71.2
14	79.7	77.1	82.4	69.5	68.1	71.1
13	79.7	77.1	82.4	69.4	68	71.1
12	79.7	77.1	82.4	69.3	68	71
11	79.7	77	82.4	69.3	67.9	71
10	79.6	77	82.4	69.2	67.9	70.9
9	79.6	77	82.4	69.2	67.8	70.9
8	79.6	77	82.3	69.1	67.7	70.8
7	79.6	77	82.3	69	67.6	70.7
6	79.6	76.9	82.3	68.9	67.5	70.6
5	79.6	76.9	82.3	68.8	67.4	70.5
4	79.5	76.9	82.3	68.7	67.3	70.4
3	79.5	76.9	82.2	68.5	67	70.2
2	79.5	76.9	82.2	68.2	66.7	69.9
1	79.5	76.8	82.2	67.7	66.2	69.4
0	79	76.4	81.8	64.3	62.6	66.3

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 71 in Equatorial Guinea, rising to 83.3 and 78.3 at 65, and to 88.1 and 85.8 at 80 — higher than the 79 and 64.3 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

Equatorial Guinea

Male

Female

1x

Age	Survival probability
	China			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	0.11%	0.08%	0.14%
99	1.33%	0.38%	2.27%	0.18%	0.14%	0.22%
98	2.06%	0.72%	3.42%	0.28%	0.22%	0.35%
97	3.08%	1.24%	4.95%	0.43%	0.33%	0.54%
96	4.43%	2%	6.91%	0.65%	0.5%	0.81%
95	6.17%	3.05%	9.37%	0.95%	0.74%	1.18%
94	8.32%	4.42%	12.3%	1.35%	1.06%	1.67%
93	10.9%	6.13%	15.8%	1.88%	1.48%	2.32%
92	13.7%	8.19%	19.4%	2.56%	2.03%	3.14%
91	16.8%	10.6%	23.3%	3.4%	2.72%	4.15%
90	20.2%	13.3%	27.4%	4.44%	3.58%	5.4%
89	23.8%	16.3%	31.6%	5.68%	4.62%	6.87%
88	27.5%	19.5%	35.8%	7.14%	5.86%	8.58%
87	31.4%	23%	40.2%	8.83%	7.31%	10.5%
86	35.4%	26.6%	44.5%	10.7%	8.96%	12.7%
85	39.4%	30.3%	48.8%	12.8%	10.8%	15.2%
84	43.3%	34.1%	52.9%	15.2%	12.9%	17.8%
83	47.2%	37.9%	56.8%	17.6%	15.1%	20.6%
82	51%	41.7%	60.5%	20.2%	17.5%	23.5%
81	54.5%	45.3%	64%	22.9%	19.9%	26.4%
80	57.8%	48.8%	67.1%	25.7%	22.6%	29.5%
79	60.9%	52.2%	70%	28.6%	25.2%	32.6%
78	63.8%	55.3%	72.5%	31.5%	28%	35.7%
77	66.5%	58.3%	74.9%	34.4%	30.7%	38.7%
76	69%	61.2%	77%	37.3%	33.5%	41.8%
75	71.3%	63.9%	79%	40.1%	36.3%	44.7%
74	73.5%	66.4%	80.8%	42.9%	39%	47.6%
73	75.6%	68.9%	82.5%	45.6%	41.7%	50.4%
72	77.5%	71.1%	84%	48.2%	44.3%	53.1%
71	79.3%	73.3%	85.5%	50.7%	46.8%	55.6%
70	80.9%	75.3%	86.7%	53.1%	49.3%	58%
69	82.4%	77.1%	87.8%	55.4%	51.6%	60.2%
68	83.7%	78.8%	88.8%	57.6%	53.8%	62.3%
67	84.9%	80.4%	89.6%	59.6%	56%	64.3%
66	86.1%	82%	90.5%	61.6%	58%	66.1%
65	87.2%	83.4%	91.2%	63.4%	60%	67.9%
64	88.3%	84.8%	91.9%	65.2%	61.8%	69.5%
63	89.2%	86%	92.6%	66.8%	63.6%	71%
62	90.1%	87.1%	93.1%	68.4%	65.2%	72.4%
61	90.8%	88.1%	93.6%	69.8%	66.8%	73.7%
60	91.5%	89%	94.1%	71.2%	68.3%	74.9%
59	92.1%	89.8%	94.5%	72.5%	69.6%	76.1%
58	92.6%	90.5%	94.8%	73.6%	70.9%	77.1%
57	93.1%	91.2%	95.1%	74.8%	72.2%	78.1%
56	93.5%	91.8%	95.4%	75.8%	73.3%	79%
55	94%	92.4%	95.7%	76.8%	74.4%	79.8%
54	94.4%	92.9%	95.9%	77.7%	75.4%	80.7%
53	94.8%	93.4%	96.2%	78.6%	76.4%	81.4%
52	95.1%	93.9%	96.4%	79.5%	77.3%	82.1%
51	95.4%	94.3%	96.6%	80.3%	78.2%	82.8%
50	95.7%	94.7%	96.8%	81%	79%	83.4%
49	96%	95.1%	97%	81.7%	79.8%	84%
48	96.2%	95.4%	97.1%	82.3%	80.5%	84.5%
47	96.4%	95.7%	97.3%	82.9%	81.2%	85.1%
46	96.6%	95.9%	97.4%	83.5%	81.8%	85.5%
45	96.8%	96.1%	97.5%	84.1%	82.4%	86%
44	97%	96.4%	97.6%	84.6%	82.9%	86.4%
43	97.1%	96.6%	97.7%	85.1%	83.5%	86.8%
42	97.3%	96.7%	97.8%	85.5%	84%	87.2%
41	97.4%	96.9%	97.9%	85.9%	84.4%	87.6%
40	97.5%	97%	98%	86.4%	84.9%	88%
39	97.6%	97.2%	98.1%	86.7%	85.3%	88.3%
38	97.7%	97.3%	98.1%	87.1%	85.7%	88.6%
37	97.8%	97.4%	98.2%	87.5%	86.1%	88.9%
36	97.9%	97.5%	98.3%	87.8%	86.5%	89.2%
35	97.9%	97.6%	98.3%	88.1%	86.8%	89.5%
34	98%	97.7%	98.4%	88.4%	87.2%	89.7%
33	98.1%	97.8%	98.4%	88.7%	87.5%	90%
32	98.2%	97.9%	98.5%	89%	87.8%	90.2%
31	98.2%	98%	98.5%	89.2%	88.1%	90.4%
30	98.3%	98%	98.6%	89.5%	88.3%	90.7%
29	98.4%	98.1%	98.6%	89.7%	88.6%	90.9%
28	98.4%	98.2%	98.7%	89.9%	88.9%	91.1%
27	98.5%	98.3%	98.7%	90.2%	89.1%	91.3%
26	98.6%	98.4%	98.8%	90.4%	89.4%	91.4%
25	98.6%	98.4%	98.8%	90.6%	89.6%	91.6%
24	98.7%	98.5%	98.9%	90.8%	89.9%	91.8%
23	98.7%	98.6%	98.9%	91%	90.1%	92%
22	98.8%	98.7%	99%	91.2%	90.3%	92.1%
21	98.8%	98.7%	99%	91.4%	90.6%	92.3%
20	98.9%	98.8%	99%	91.6%	90.8%	92.4%
19	98.9%	98.8%	99.1%	91.8%	91%	92.5%
18	99%	98.9%	99.1%	91.9%	91.2%	92.7%
17	99%	98.9%	99.1%	92%	91.3%	92.8%
16	99%	98.9%	99.1%	92.2%	91.5%	92.9%
15	99.1%	99%	99.2%	92.3%	91.6%	93%
14	99.1%	99%	99.2%	92.4%	91.7%	93.1%
13	99.1%	99%	99.2%	92.5%	91.8%	93.2%
12	99.1%	99.1%	99.2%	92.6%	91.9%	93.2%
11	99.2%	99.1%	99.2%	92.6%	92%	93.3%
10	99.2%	99.1%	99.3%	92.7%	92.1%	93.4%
9	99.2%	99.2%	99.3%	92.8%	92.2%	93.5%
8	99.3%	99.2%	99.3%	92.9%	92.3%	93.6%
7	99.3%	99.2%	99.3%	93%	92.4%	93.7%
6	99.3%	99.3%	99.4%	93.2%	92.6%	93.8%
5	99.3%	99.3%	99.4%	93.4%	92.7%	94%
4	99.3%	99.3%	99.4%	93.6%	93%	94.2%
3	99.4%	99.3%	99.4%	93.9%	93.3%	94.5%
2	99.4%	99.4%	99.5%	94.3%	93.8%	94.9%
1	99.5%	99.4%	99.5%	95%	94.5%	95.5%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 71.2% in Equatorial Guinea are expected to live past 60, 80.9% and 53.1% past 70, 57.8% and 25.7% past 80, and only 20.2% and 4.44% 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

Equatorial Guinea

Male

Female

1x

Age	Probability of dying
	China			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	40%	39.9%	40.2%
99	38.1%	51.3%	36.1%	38.5%	38.4%	38.5%
98	35.7%	46.6%	33.6%	36.6%	36.6%	36.6%
97	33.1%	42.1%	30.9%	35%	35.2%	34.9%
96	30.5%	38.1%	28.4%	33.4%	33.6%	33.3%
95	28.2%	34.3%	26.2%	31.7%	32%	31.5%
94	25.9%	31%	24.1%	29.9%	30.3%	29.6%
93	23.4%	27.9%	21.7%	28.2%	28.6%	27.9%
92	20.8%	25.2%	19%	26.5%	27.1%	26.2%
91	18.5%	22.6%	16.6%	24.7%	25.3%	24.4%
90	16.7%	20.4%	14.9%	23.5%	24.1%	23.1%
89	15.1%	18.4%	13.3%	21.8%	22.5%	21.4%
88	13.6%	16.6%	11.9%	20.5%	21.1%	20%
87	12.4%	15%	10.8%	19.1%	19.7%	18.6%
86	11.2%	13.6%	9.72%	17.8%	18.5%	17.3%
85	10.1%	12.3%	8.73%	16.4%	17.1%	16%
84	9.17%	11.2%	7.82%	15.2%	16%	14.7%
83	8.24%	10.1%	6.95%	14%	14.7%	13.5%
82	7.35%	9.03%	6.12%	12.9%	13.6%	12.4%
81	6.51%	8.06%	5.36%	11.7%	12.4%	11.2%
80	5.75%	7.17%	4.67%	11%	11.6%	10.4%
79	5.09%	6.39%	4.07%	9.99%	10.6%	9.46%
78	4.52%	5.71%	3.56%	9.23%	9.82%	8.71%
77	4.03%	5.14%	3.15%	8.41%	8.99%	7.9%
76	3.62%	4.65%	2.8%	7.74%	8.3%	7.26%
75	3.27%	4.23%	2.5%	7.11%	7.64%	6.65%
74	2.98%	3.86%	2.25%	6.49%	7.01%	6.04%
73	2.69%	3.5%	2.02%	5.93%	6.43%	5.49%
72	2.45%	3.19%	1.81%	5.43%	5.91%	5.02%
71	2.26%	2.96%	1.66%	4.89%	5.34%	4.49%
70	2.04%	2.7%	1.47%	4.55%	4.97%	4.16%
69	1.76%	2.36%	1.22%	4.1%	4.51%	3.7%
68	1.58%	2.14%	1.08%	3.77%	4.15%	3.38%
67	1.48%	2.01%	1%	3.44%	3.81%	3.06%
66	1.37%	1.86%	0.91%	3.15%	3.51%	2.79%
65	1.26%	1.72%	0.83%	2.93%	3.26%	2.57%
64	1.17%	1.59%	0.76%	2.68%	3%	2.34%
63	1.06%	1.45%	0.69%	2.46%	2.77%	2.13%
62	0.95%	1.3%	0.61%	2.27%	2.55%	1.95%
61	0.83%	1.14%	0.53%	2.06%	2.32%	1.76%
60	0.73%	1%	0.46%	1.92%	2.17%	1.64%
59	0.64%	0.88%	0.41%	1.74%	1.97%	1.47%
58	0.57%	0.78%	0.36%	1.62%	1.83%	1.36%
57	0.52%	0.71%	0.33%	1.49%	1.69%	1.24%
56	0.48%	0.66%	0.31%	1.39%	1.57%	1.16%
55	0.45%	0.62%	0.29%	1.3%	1.47%	1.07%
54	0.43%	0.59%	0.27%	1.21%	1.37%	1%
53	0.41%	0.55%	0.26%	1.13%	1.28%	0.93%
52	0.38%	0.51%	0.24%	1.06%	1.2%	0.87%
51	0.34%	0.46%	0.22%	0.97%	1.1%	0.8%
50	0.3%	0.41%	0.19%	0.92%	1.04%	0.75%
49	0.27%	0.36%	0.17%	0.84%	0.95%	0.69%
48	0.24%	0.32%	0.15%	0.79%	0.89%	0.65%
47	0.22%	0.29%	0.14%	0.73%	0.82%	0.6%
46	0.2%	0.26%	0.13%	0.68%	0.77%	0.56%
45	0.18%	0.24%	0.12%	0.64%	0.72%	0.53%
44	0.17%	0.22%	0.11%	0.6%	0.67%	0.5%
43	0.16%	0.21%	0.11%	0.57%	0.63%	0.48%
42	0.14%	0.19%	0.1%	0.54%	0.6%	0.45%
41	0.13%	0.17%	0.09%	0.5%	0.56%	0.42%
40	0.12%	0.15%	0.08%	0.48%	0.53%	0.41%
39	0.1%	0.13%	0.07%	0.45%	0.5%	0.38%
38	0.1%	0.12%	0.07%	0.42%	0.47%	0.36%
37	0.09%	0.11%	0.06%	0.4%	0.44%	0.34%
36	0.08%	0.1%	0.06%	0.38%	0.42%	0.32%
35	0.08%	0.1%	0.06%	0.36%	0.4%	0.31%
34	0.08%	0.1%	0.06%	0.34%	0.38%	0.29%
33	0.08%	0.09%	0.05%	0.32%	0.36%	0.27%
32	0.07%	0.09%	0.05%	0.31%	0.35%	0.26%
31	0.07%	0.09%	0.05%	0.29%	0.33%	0.25%
30	0.07%	0.09%	0.05%	0.28%	0.32%	0.24%
29	0.07%	0.09%	0.05%	0.27%	0.31%	0.23%
28	0.07%	0.08%	0.05%	0.26%	0.3%	0.22%
27	0.07%	0.08%	0.05%	0.25%	0.29%	0.21%
26	0.07%	0.08%	0.05%	0.24%	0.28%	0.2%
25	0.06%	0.08%	0.05%	0.24%	0.28%	0.19%
24	0.06%	0.07%	0.05%	0.23%	0.27%	0.18%
23	0.06%	0.07%	0.04%	0.22%	0.27%	0.18%
22	0.05%	0.07%	0.04%	0.22%	0.26%	0.17%
21	0.05%	0.06%	0.04%	0.21%	0.25%	0.16%
20	0.05%	0.05%	0.03%	0.19%	0.23%	0.15%
19	0.04%	0.05%	0.03%	0.18%	0.22%	0.15%
18	0.04%	0.04%	0.03%	0.17%	0.2%	0.14%
17	0.03%	0.04%	0.03%	0.15%	0.18%	0.13%
16	0.03%	0.04%	0.02%	0.14%	0.15%	0.12%
15	0.03%	0.04%	0.02%	0.12%	0.13%	0.11%
14	0.03%	0.04%	0.02%	0.11%	0.12%	0.1%
13	0.03%	0.04%	0.02%	0.1%	0.11%	0.09%
12	0.03%	0.03%	0.02%	0.09%	0.1%	0.09%
11	0.03%	0.03%	0.02%	0.09%	0.1%	0.08%
10	0.03%	0.03%	0.02%	0.1%	0.1%	0.09%
9	0.03%	0.03%	0.02%	0.1%	0.11%	0.09%
8	0.03%	0.03%	0.02%	0.11%	0.12%	0.1%
7	0.02%	0.03%	0.02%	0.13%	0.14%	0.11%
6	0.02%	0.02%	0.02%	0.15%	0.16%	0.13%
5	0.02%	0.02%	0.02%	0.18%	0.19%	0.16%
4	0.02%	0.02%	0.03%	0.23%	0.25%	0.22%
3	0.03%	0.03%	0.03%	0.32%	0.34%	0.3%
2	0.04%	0.04%	0.04%	0.46%	0.49%	0.44%
1	0.05%	0.05%	0.05%	0.76%	0.8%	0.72%
0	0.54%	0.59%	0.49%	4.97%	5.49%	4.45%

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

The annual chance of dying is 0.54% in the birth year in China and 4.97% in Equatorial Guinea, 0.07% vs 0.28% at age 30, 0.73% vs 1.92% at 60, and 5.75% vs 11% at 80.

Death rate by age in China vs Equatorial Guinea

Chart Table

China

Male

Female

Equatorial Guinea

Male

Female

1x

Age	Death rate
	China			Equatorial Guinea
	Total	Male	Female	Total	Male	Female
100	145	0	355	0	0	0
99	505	196.9	819	68.2	52.5	85.6
98	735	334	1,147	102.3	78.9	128
97	1,018	523	1,530	150.8	116.9	188
96	1,350	762	1,962	216	168.5	268.1
95	1,738	1,046	2,458	300	236.2	371
94	2,153	1,368	2,972	404	320	496
93	2,544	1,713	3,413	529	425	646
92	2,856	2,061	3,693	678	550	822
91	3,108	2,396	3,865	841	690	1,012
90	3,366	2,708	4,066	1,044	863	1,249
89	3,582	2,988	4,200	1,240	1,040	1,468
88	3,745	3,232	4,268	1,461	1,239	1,716
87	3,880	3,440	4,326	1,682	1,443	1,958
86	3,965	3,608	4,325	1,906	1,654	2,202
85	3,995	3,731	4,256	2,111	1,853	2,419
84	3,972	3,803	4,134	2,311	2,057	2,621
83	3,891	3,816	3,953	2,466	2,220	2,772
82	3,745	3,764	3,707	2,609	2,375	2,904
81	3,550	3,655	3,426	2,685	2,471	2,956
80	3,328	3,503	3,132	2,820	2,614	3,078
79	3,103	3,332	2,846	2,857	2,677	3,081
78	2,884	3,160	2,586	2,908	2,748	3,108
77	2,680	2,998	2,356	2,893	2,762	3,062
76	2,497	2,846	2,155	2,887	2,781	3,032
75	2,336	2,704	1,979	2,854	2,773	2,974
74	2,190	2,566	1,823	2,787	2,735	2,879
73	2,034	2,410	1,665	2,705	2,680	2,769
72	1,895	2,269	1,525	2,622	2,618	2,661
71	1,792	2,168	1,415	2,482	2,500	2,494
70	1,654	2,034	1,272	2,420	2,451	2,412
69	1,448	1,822	1,069	2,271	2,326	2,229
68	1,325	1,689	956	2,168	2,237	2,107
67	1,260	1,614	898	2,052	2,134	1,968
66	1,179	1,527	825	1,942	2,034	1,844
65	1,103	1,438	761	1,856	1,957	1,743
64	1,030	1,348	703	1,748	1,855	1,624
63	946	1,247	635	1,647	1,758	1,515
62	853	1,133	564	1,551	1,664	1,415
61	757	1,009	498	1,435	1,549	1,296
60	668	892	436	1,370	1,481	1,230
59	590	791	383	1,264	1,375	1,120
58	527	706	342	1,189	1,297	1,047
57	482	645	313	1,112	1,216	971
56	451	603	292	1,054	1,154	915
55	427	572	276.5	995	1,091	858
54	408	546	263.3	944	1,036	809
53	387	518	249.2	890	978	758
52	360	482	231.3	843	926	717
51	327	438	210	782	861	660
50	290.9	390	187.2	745	821	629
49	257.4	344	166.1	690	761	580
48	229.6	306	149.2	648	714	546
47	208.9	276.7	137.2	605	667	510
46	192.8	253.9	128.1	570	627	482
45	178.6	234	119.7	542	595	460
44	165.2	215.7	111.4	509	558	434
43	152.2	198	103.3	482	527	413
42	139.1	180	95.4	461	503	397
41	126	161.9	87.5	430	470	371
40	113.4	144.6	79.7	414	452	358
39	102.3	129.3	72.9	388	424	336
38	93	116.7	67.2	369	404	320
37	86	107.2	62.7	348	382	301
36	81	100.6	59.2	331	364	287.2
35	77.6	96.3	56.7	315	347	273
34	75.4	93.5	55	298.6	330	259
33	73.9	91.7	53.8	284.9	316	246.7
32	72.9	90.3	53	272.6	303	235.5
31	71.6	88.7	51.9	258.6	288.5	222.6
30	70	86.7	50.7	251.6	281.1	216.4
29	68.3	84.6	49.4	241	270.6	205.9
28	67	82.9	48.7	233.5	263.4	198.5
27	65.8	81	48.1	226.2	257	190.2
26	64.1	78.3	47.4	220.1	252.2	182.9
25	62.2	75.4	46.7	214.4	248.1	175.8
24	60.3	72.7	45.8	209.3	244.6	169.2
23	57.6	69	44.1	203.3	239.9	162.3
22	53.9	64.4	41.5	196.5	233.5	155.8
21	49.4	59.1	38.1	187.9	224.3	149
20	44.8	53.7	34.3	178.3	212.5	142.7
19	40.4	48.5	30.8	167.2	197.9	135.3
18	36.6	44.2	27.6	154.8	181.3	127.5
17	33.6	40.9	25	139.7	160.6	118.1
16	31.4	38.5	23.1	125.5	141.2	109.3
15	30	36.9	21.9	111	122.7	99
14	29.2	35.9	21.3	100.1	109.7	90.2
13	28.7	35.2	21.2	92	100.1	83.7
12	28.2	34.1	21.3	87.4	94.8	79.8
11	27.5	32.7	21.6	86	93.2	78.5
10	27.6	32	22.6	88.2	95.9	80.2
9	27.6	31.1	23.5	93.4	101.8	84.8
8	26.3	28.8	23.3	102.6	111.3	93.6
7	24.2	25.8	22.4	116.8	126.1	107.2
6	22.5	23.1	21.8	136.7	146.4	126.6
5	22.3	22.3	22.4	165.2	175.6	154.5
4	24.6	24.2	25	216.1	228.6	203.1
3	29.6	29.3	29.9	302	320	283.2
2	36.1	35.9	36.3	438	462	414
1	45.9	46.8	44.9	721	757	684
0	540	585	490	4,972	5,488	4,450

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 Equatorial Guinea. The median age of death is 82.3 in China and 71.3 in Equatorial Guinea, 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 Equatorial Guinea more than their death rates.

Life expectancy in other countries

+ -

1x