Life Expectancy in China vs Equatorial Guinea (1950-2025)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in China vs Equatorial Guinea: 79.6 years vs 70.9 at 30, 82.9 vs 78.2 at 65, 87.9 vs 85.8 at 80 — significantly higher than the 78.4 vs 64.1 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in China and Equatorial Guinea.

Table

Current age, years	Total life expectancy, years
	China			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
0	78.4	75.7	81.2	64.1	62.4	66.1
1	78.8	76.2	81.7	67.5	66.1	69.3
2	78.9	76.2	81.7	68	66.6	69.8
3	78.9	76.2	81.8	68.3	66.9	70.1
4	78.9	76.2	81.8	68.6	67.2	70.3
5	79	76.3	81.8	68.7	67.3	70.4
6	79	76.3	81.8	68.8	67.4	70.5
7	79	76.3	81.8	68.9	67.5	70.6
8	79	76.3	81.9	69	67.6	70.7
9	79	76.3	81.9	69.1	67.7	70.7
10	79.1	76.4	81.9	69.1	67.7	70.8
11	79.1	76.4	81.9	69.2	67.8	70.8
12	79.1	76.4	81.9	69.2	67.9	70.9
13	79.1	76.4	82	69.3	67.9	71
14	79.1	76.5	82	69.3	68	71
15	79.2	76.5	82	69.4	68.1	71.1
16	79.2	76.5	82	69.5	68.1	71.1
17	79.2	76.5	82	69.5	68.2	71.2
18	79.2	76.6	82	69.6	68.3	71.3
19	79.3	76.6	82.1	69.7	68.4	71.3
20	79.3	76.6	82.1	69.8	68.5	71.4
21	79.3	76.7	82.1	69.9	68.6	71.5
22	79.3	76.7	82.1	70	68.7	71.6
23	79.4	76.7	82.1	70.1	68.9	71.7
24	79.4	76.8	82.2	70.2	69	71.7
25	79.4	76.8	82.2	70.3	69.1	71.8
26	79.5	76.9	82.2	70.4	69.2	71.9
27	79.5	76.9	82.3	70.5	69.4	72
28	79.6	76.9	82.3	70.7	69.5	72.1
29	79.6	77	82.3	70.8	69.6	72.2
30	79.6	77	82.3	70.9	69.7	72.3
31	79.7	77.1	82.4	71	69.8	72.4
32	79.7	77.1	82.4	71.1	70	72.5
33	79.7	77.2	82.4	71.2	70.1	72.6
34	79.8	77.2	82.5	71.4	70.2	72.7
35	79.8	77.3	82.5	71.5	70.4	72.8
36	79.9	77.3	82.5	71.6	70.5	73
37	79.9	77.3	82.5	71.8	70.7	73.1
38	79.9	77.4	82.6	71.9	70.8	73.2
39	80	77.4	82.6	72	71	73.3
40	80	77.5	82.6	72.2	71.1	73.5
41	80.1	77.6	82.7	72.3	71.3	73.6
42	80.1	77.6	82.7	72.5	71.5	73.7
43	80.2	77.7	82.8	72.7	71.6	73.9
44	80.2	77.8	82.8	72.8	71.8	74
45	80.3	77.8	82.9	73	72	74.2
46	80.4	77.9	82.9	73.2	72.2	74.3
47	80.5	78	83	73.4	72.4	74.5
48	80.5	78.1	83	73.6	72.6	74.7
49	80.6	78.2	83.1	73.8	72.8	74.8
50	80.7	78.3	83.1	74	73.1	75
51	80.8	78.4	83.2	74.2	73.3	75.2
52	80.9	78.6	83.3	74.4	73.5	75.4
53	81	78.7	83.3	74.6	73.8	75.6
54	81.1	78.9	83.4	74.9	74.1	75.8
55	81.3	79	83.5	75.1	74.3	76
56	81.4	79.2	83.6	75.4	74.6	76.2
57	81.5	79.3	83.7	75.7	74.9	76.5
58	81.6	79.5	83.8	75.9	75.2	76.7
59	81.8	79.7	83.9	76.2	75.5	77
60	81.9	79.9	84	76.5	75.9	77.2
61	82.1	80.1	84.1	76.9	76.2	77.5
62	82.3	80.3	84.2	77.2	76.5	77.8
63	82.5	80.6	84.4	77.5	76.9	78.1
64	82.7	80.8	84.5	77.9	77.3	78.4
65	82.9	81.1	84.7	78.2	77.7	78.8
66	83.2	81.4	84.9	78.6	78.1	79.1
67	83.4	81.7	85	79	78.5	79.5
68	83.7	82	85.2	79.4	79	79.9
69	84	82.4	85.4	79.9	79.4	80.3
70	84.2	82.7	85.6	80.3	79.9	80.7
71	84.5	83.1	85.9	80.8	80.4	81.1
72	84.9	83.4	86.1	81.3	80.9	81.6
73	85.2	83.8	86.4	81.8	81.4	82.1
74	85.5	84.2	86.7	82.3	82	82.6
75	85.9	84.6	87	82.8	82.5	83.1
76	86.3	85.1	87.3	83.4	83.1	83.6
77	86.7	85.5	87.6	84	83.7	84.2
78	87.1	86	87.9	84.6	84.3	84.8
79	87.5	86.4	88.3	85.2	85	85.4
80	87.9	87	88.7	85.8	85.6	86
81	88.4	87.5	89.1	86.5	86.3	86.6
82	88.9	88	89.6	87.2	87	87.3
83	89.5	88.6	90.1	87.8	87.7	88
84	90	89.2	90.6	88.6	88.4	88.7
85	90.6	89.8	91.1	89.3	89.2	89.4
86	91.2	90.5	91.7	90	89.9	90.1
87	91.9	91.1	92.3	90.8	90.7	90.9
88	92.5	91.8	92.9	91.6	91.5	91.6
89	93.2	92.5	93.5	92.4	92.3	92.4
90	93.8	93.2	94.1	93.2	93.1	93.2
91	94.5	93.9	94.8	94	94	94
92	95.2	94.7	95.4	94.8	94.8	94.9
93	96	95.4	96.2	95.7	95.6	95.7
94	96.7	96.2	96.9	96.5	96.5	96.5
95	97.6	97	97.7	97.4	97.4	97.4
96	98.4	97.8	98.5	98.3	98.3	98.3
97	99.2	98.7	99.4	99.2	99.2	99.2
98	100.1	99.6	100.2	100.1	100	100.1
99	101	100.5	101.1	101	100.9	101
100	102	101.7	102	101.9	101.8	101.9

Odds of living to age in China vs Equatorial Guinea

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 90.9% in China and 70.9% in Equatorial Guinea are expected to survive till at least 60 years old, 79.7% and 52.8% will live to 70 years or older, 55.8% and 25.5% to 80+ years, and 18.6% and 4.39% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	China			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
1	99.4%	99.3%	99.5%	94.9%	94.4%	95.4%
2	99.3%	99.3%	99.4%	94.2%	93.6%	94.7%
3	99.3%	99.2%	99.4%	93.7%	93.2%	94.3%
4	99.3%	99.2%	99.3%	93.4%	92.8%	94%
5	99.2%	99.2%	99.3%	93.2%	92.6%	93.8%
6	99.2%	99.2%	99.3%	93%	92.4%	93.7%
7	99.2%	99.1%	99.3%	92.9%	92.3%	93.5%
8	99.2%	99.1%	99.2%	92.8%	92.2%	93.4%
9	99.1%	99.1%	99.2%	92.7%	92.1%	93.3%
10	99.1%	99%	99.2%	92.6%	91.9%	93.2%
11	99.1%	99%	99.2%	92.5%	91.9%	93.2%
12	99%	99%	99.1%	92.4%	91.8%	93.1%
13	99%	98.9%	99.1%	92.3%	91.7%	93%
14	99%	98.9%	99.1%	92.2%	91.6%	92.9%
15	99%	98.9%	99.1%	92.1%	91.4%	92.8%
16	98.9%	98.8%	99%	92%	91.3%	92.7%
17	98.9%	98.8%	99%	91.9%	91.2%	92.6%
18	98.9%	98.7%	99%	91.7%	91%	92.5%
19	98.8%	98.7%	99%	91.6%	90.8%	92.4%
20	98.8%	98.6%	98.9%	91.4%	90.6%	92.2%
21	98.7%	98.6%	98.9%	91.2%	90.4%	92.1%
22	98.7%	98.5%	98.8%	91%	90.2%	91.9%
23	98.6%	98.4%	98.8%	90.8%	90%	91.8%
24	98.5%	98.4%	98.8%	90.6%	89.7%	91.6%
25	98.5%	98.3%	98.7%	90.4%	89.5%	91.4%
26	98.4%	98.2%	98.7%	90.2%	89.2%	91.2%
27	98.3%	98.1%	98.6%	90%	89%	91.1%
28	98.3%	98%	98.6%	89.8%	88.7%	90.9%
29	98.2%	97.9%	98.5%	89.5%	88.4%	90.7%
30	98.1%	97.8%	98.5%	89.3%	88.2%	90.5%
31	98.1%	97.8%	98.4%	89%	87.9%	90.2%
32	98%	97.7%	98.3%	88.8%	87.6%	90%
33	97.9%	97.6%	98.3%	88.5%	87.3%	89.8%
34	97.8%	97.5%	98.2%	88.2%	87%	89.5%
35	97.7%	97.4%	98.2%	87.9%	86.6%	89.3%
36	97.7%	97.3%	98.1%	87.6%	86.3%	89%
37	97.6%	97.2%	98%	87.2%	85.9%	88.7%
38	97.5%	97%	98%	86.9%	85.5%	88.4%
39	97.4%	96.9%	97.9%	86.5%	85.1%	88.1%
40	97.3%	96.8%	97.8%	86.1%	84.7%	87.7%
41	97.2%	96.6%	97.7%	85.7%	84.2%	87.3%
42	97%	96.5%	97.7%	85.3%	83.7%	87%
43	96.9%	96.3%	97.6%	84.8%	83.2%	86.6%
44	96.7%	96%	97.4%	84.3%	82.7%	86.2%
45	96.5%	95.8%	97.3%	83.8%	82.1%	85.7%
46	96.3%	95.6%	97.2%	83.2%	81.5%	85.2%
47	96.1%	95.3%	97.1%	82.7%	80.9%	84.8%
48	95.9%	95%	96.9%	82.1%	80.2%	84.2%
49	95.7%	94.7%	96.8%	81.4%	79.5%	83.7%
50	95.4%	94.3%	96.6%	80.7%	78.8%	83.1%
51	95.1%	93.9%	96.4%	80%	77.9%	82.5%
52	94.7%	93.4%	96.2%	79.2%	77.1%	81.8%
53	94.4%	92.9%	95.9%	78.3%	76.1%	81.1%
54	94%	92.4%	95.7%	77.4%	75.2%	80.3%
55	93.5%	91.8%	95.4%	76.5%	74.1%	79.5%
56	93.1%	91.2%	95.1%	75.5%	73%	78.7%
57	92.6%	90.5%	94.8%	74.4%	71.9%	77.7%
58	92.1%	89.9%	94.5%	73.3%	70.6%	76.8%
59	91.5%	89.1%	94.1%	72.1%	69.3%	75.7%
60	90.9%	88.3%	93.7%	70.9%	68%	74.6%
61	90.2%	87.3%	93.2%	69.5%	66.5%	73.4%
62	89.4%	86.2%	92.7%	68.1%	64.9%	72.1%
63	88.5%	85%	92.1%	66.5%	63.3%	70.6%
64	87.5%	83.7%	91.4%	64.9%	61.5%	69.1%
65	86.4%	82.3%	90.7%	63.1%	59.7%	67.5%
66	85.2%	80.8%	89.9%	61.3%	57.7%	65.8%
67	84%	79.2%	89%	59.3%	55.7%	63.9%
68	82.6%	77.5%	88.1%	57.3%	53.5%	61.9%
69	81.2%	75.7%	87.1%	55.1%	51.3%	59.8%
70	79.7%	73.8%	85.9%	52.8%	49%	57.6%
71	78%	71.6%	84.6%	50.4%	46.5%	55.2%
72	76.1%	69.4%	83.1%	48%	44%	52.7%
73	74.1%	67%	81.5%	45.3%	41.4%	50.1%
74	72%	64.5%	79.8%	42.6%	38.8%	47.3%
75	69.7%	61.9%	77.9%	39.9%	36%	44.4%
76	67.3%	59.1%	75.8%	37%	33.3%	41.5%
77	64.7%	56.2%	73.6%	34.1%	30.5%	38.4%
78	61.9%	53.1%	71.1%	31.3%	27.8%	35.4%
79	59%	49.9%	68.5%	28.4%	25%	32.3%
80	55.8%	46.5%	65.5%	25.5%	22.4%	29.2%
81	52.4%	43%	62.3%	22.7%	19.8%	26.2%
82	48.8%	39.3%	58.8%	20.1%	17.3%	23.2%
83	45.1%	35.6%	55.1%	17.5%	14.9%	20.3%
84	41.2%	31.8%	51.1%	15%	12.7%	17.6%
85	37.2%	28.1%	46.9%	12.7%	10.7%	15%
86	33.3%	24.5%	42.6%	10.6%	8.86%	12.6%
87	29.4%	21%	38.3%	8.73%	7.22%	10.4%
88	25.6%	17.8%	34%	7.06%	5.79%	8.48%
89	22%	14.7%	29.9%	5.62%	4.57%	6.78%
90	18.6%	11.9%	25.7%	4.39%	3.54%	5.33%
91	15.4%	9.4%	21.8%	3.36%	2.69%	4.09%
92	12.5%	7.21%	18.1%	2.52%	2.01%	3.09%
93	9.8%	5.34%	14.6%	1.85%	1.46%	2.28%
94	7.45%	3.81%	11.3%	1.33%	1.04%	1.65%
95	5.48%	2.6%	8.53%	0.93%	0.73%	1.16%
96	3.9%	1.69%	6.25%	0.64%	0.49%	0.79%
97	2.69%	1.03%	4.44%	0.42%	0.33%	0.53%
98	1.79%	0.59%	3.04%	0.28%	0.21%	0.34%
99	1.14%	0.31%	2.01%	0.17%	0.13%	0.22%
100	0.7%	0.15%	1.28%	0.11%	0.08%	0.13%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.6% in the birth year in China and 5.08% in Equatorial Guinea, 0.08% vs 0.29% at age 30, 0.78% vs 1.94% at 60, and 6.06% vs 11% at 80.

Below is a graph displaying the probabilities of dying in China compared to Equatorial Guinea at any given age.

Table

Age	Probability of dying
	China			Equatorial Guinea
	Average	Male	Female	Average	Male	Female
0	0.6%	0.66%	0.54%	5.08%	5.59%	4.56%
1	0.05%	0.05%	0.05%	0.77%	0.82%	0.73%
2	0.04%	0.04%	0.04%	0.47%	0.5%	0.45%
3	0.03%	0.03%	0.03%	0.33%	0.35%	0.31%
4	0.03%	0.03%	0.03%	0.23%	0.25%	0.22%
5	0.02%	0.02%	0.02%	0.18%	0.19%	0.17%
6	0.03%	0.03%	0.02%	0.15%	0.16%	0.14%
7	0.03%	0.03%	0.02%	0.13%	0.14%	0.12%
8	0.03%	0.03%	0.03%	0.11%	0.12%	0.1%
9	0.03%	0.03%	0.03%	0.1%	0.11%	0.09%
10	0.03%	0.04%	0.02%	0.1%	0.11%	0.09%
11	0.03%	0.04%	0.02%	0.09%	0.1%	0.09%
12	0.03%	0.04%	0.02%	0.1%	0.1%	0.09%
13	0.03%	0.04%	0.02%	0.1%	0.11%	0.09%
14	0.03%	0.04%	0.02%	0.11%	0.12%	0.1%
15	0.03%	0.04%	0.02%	0.12%	0.14%	0.11%
16	0.03%	0.04%	0.03%	0.14%	0.16%	0.12%
17	0.04%	0.05%	0.03%	0.15%	0.18%	0.13%
18	0.04%	0.05%	0.03%	0.17%	0.2%	0.14%
19	0.04%	0.05%	0.03%	0.19%	0.22%	0.15%
20	0.05%	0.06%	0.04%	0.2%	0.24%	0.16%
21	0.05%	0.07%	0.04%	0.21%	0.25%	0.17%
22	0.06%	0.07%	0.05%	0.22%	0.26%	0.17%
23	0.06%	0.08%	0.05%	0.23%	0.27%	0.18%
24	0.07%	0.08%	0.05%	0.23%	0.28%	0.19%
25	0.07%	0.08%	0.05%	0.24%	0.28%	0.2%
26	0.07%	0.09%	0.05%	0.25%	0.29%	0.2%
27	0.07%	0.09%	0.05%	0.26%	0.29%	0.21%
28	0.07%	0.09%	0.05%	0.26%	0.3%	0.22%
29	0.07%	0.09%	0.05%	0.27%	0.31%	0.23%
30	0.08%	0.1%	0.05%	0.29%	0.32%	0.24%
31	0.08%	0.1%	0.06%	0.29%	0.33%	0.25%
32	0.08%	0.1%	0.06%	0.31%	0.35%	0.27%
33	0.08%	0.1%	0.06%	0.33%	0.37%	0.28%
34	0.08%	0.1%	0.06%	0.34%	0.38%	0.29%
35	0.08%	0.11%	0.06%	0.36%	0.41%	0.31%
36	0.09%	0.11%	0.06%	0.38%	0.43%	0.33%
37	0.09%	0.12%	0.07%	0.4%	0.45%	0.34%
38	0.1%	0.13%	0.07%	0.43%	0.48%	0.37%
39	0.11%	0.14%	0.08%	0.45%	0.5%	0.39%
40	0.12%	0.16%	0.09%	0.49%	0.54%	0.41%
41	0.14%	0.18%	0.09%	0.51%	0.56%	0.43%
42	0.15%	0.2%	0.1%	0.55%	0.61%	0.46%
43	0.17%	0.22%	0.11%	0.57%	0.64%	0.48%
44	0.18%	0.24%	0.12%	0.61%	0.68%	0.51%
45	0.2%	0.26%	0.13%	0.65%	0.73%	0.54%
46	0.21%	0.28%	0.14%	0.69%	0.77%	0.57%
47	0.23%	0.31%	0.15%	0.74%	0.83%	0.61%
48	0.25%	0.34%	0.16%	0.79%	0.89%	0.65%
49	0.29%	0.39%	0.18%	0.85%	0.96%	0.7%
50	0.32%	0.44%	0.2%	0.93%	1.05%	0.76%
51	0.36%	0.5%	0.23%	0.98%	1.11%	0.81%
52	0.4%	0.55%	0.25%	1.07%	1.21%	0.88%
53	0.43%	0.59%	0.27%	1.14%	1.29%	0.94%
54	0.46%	0.63%	0.29%	1.22%	1.38%	1.01%
55	0.48%	0.66%	0.31%	1.3%	1.48%	1.08%
56	0.51%	0.7%	0.32%	1.4%	1.58%	1.17%
57	0.55%	0.76%	0.35%	1.5%	1.7%	1.25%
58	0.61%	0.83%	0.38%	1.62%	1.84%	1.37%
59	0.68%	0.94%	0.43%	1.75%	1.99%	1.48%
60	0.78%	1.07%	0.49%	1.94%	2.18%	1.65%
61	0.89%	1.23%	0.57%	2.07%	2.33%	1.77%
62	1.01%	1.39%	0.64%	2.28%	2.56%	1.97%
63	1.13%	1.55%	0.73%	2.48%	2.78%	2.15%
64	1.25%	1.71%	0.81%	2.69%	3.02%	2.35%
65	1.35%	1.85%	0.89%	2.94%	3.28%	2.58%
66	1.46%	2%	0.97%	3.17%	3.52%	2.8%
67	1.58%	2.15%	1.06%	3.45%	3.83%	3.08%
68	1.69%	2.29%	1.14%	3.78%	4.17%	3.4%
69	1.87%	2.53%	1.29%	4.11%	4.53%	3.72%
70	2.18%	2.89%	1.56%	4.57%	4.99%	4.18%
71	2.41%	3.16%	1.76%	4.91%	5.36%	4.51%
72	2.6%	3.4%	1.92%	5.46%	5.93%	5.04%
73	2.86%	3.73%	2.14%	5.95%	6.45%	5.52%
74	3.16%	4.11%	2.38%	6.52%	7.03%	6.07%
75	3.48%	4.51%	2.65%	7.14%	7.67%	6.67%
76	3.84%	4.94%	2.95%	7.78%	8.32%	7.29%
77	4.28%	5.45%	3.32%	8.44%	9.01%	7.93%
78	4.78%	6.05%	3.75%	9.26%	9.85%	8.74%
79	5.36%	6.75%	4.28%	10%	10.6%	9.49%
80	6.06%	7.57%	4.9%	11%	11.6%	10.5%
81	6.85%	8.5%	5.61%	11.7%	12.4%	11.2%
82	7.71%	9.5%	6.41%	12.9%	13.6%	12.4%
83	8.63%	10.6%	7.26%	14%	14.7%	13.5%
84	9.58%	11.7%	8.15%	15.3%	16%	14.8%
85	10.6%	12.9%	9.09%	16.5%	17.2%	16%
86	11.7%	14.2%	10.1%	17.8%	18.5%	17.3%
87	12.8%	15.6%	11.2%	19.1%	19.8%	18.6%
88	14.1%	17.2%	12.3%	20.5%	21.2%	20%
89	15.6%	19%	13.7%	21.9%	22.5%	21.4%
90	17.2%	21.1%	15.3%	23.5%	24.1%	23.2%
91	19%	23.3%	17.1%	24.8%	25.4%	24.4%
92	21.4%	25.9%	19.5%	26.6%	27.1%	26.2%
93	24%	28.7%	22.2%	28.2%	28.7%	27.9%
94	26.5%	31.8%	24.6%	29.9%	30.3%	29.7%
95	28.8%	35.1%	26.8%	31.8%	32.1%	31.6%
96	31.1%	38.8%	28.9%	33.4%	33.7%	33.3%
97	33.6%	42.9%	31.4%	35.1%	35.2%	35%
98	36.2%	47.2%	34%	36.6%	36.6%	36.6%
99	38.5%	51.9%	36.5%	38.5%	38.4%	38.6%
100	41%	55.8%	38.9%	40.1%	39.9%	40.2%

Death rate by age in China compared to Equatorial Guinea

In China, the most common age of death is 84, compared to 0 in Equatorial Guinea. The median age of death is 81.7 in China and 71.2 in Equatorial Guinea — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	China			Equatorial Guinea
	Total	Male	Female	Total	Male	Female
0	604	659	543	5,077	5,587	4,563
1	51.2	52.7	49.5	736	770	700
2	40.1	40.2	40	446	469	423
3	32.8	32.7	32.9	307	324	289.1
4	27.2	27	27.4	219.5	231.3	207.2
5	24.7	24.8	24.6	167.7	177.6	157.6
6	24.9	25.7	23.9	138.8	148.1	129.1
7	26.7	28.6	24.6	118.7	127.7	109.4
8	29	32	25.6	104.3	112.8	95.5
9	30.4	34.5	25.8	95	103.1	86.6
10	30.5	35.4	24.7	89.7	97.3	81.9
11	30.3	36.2	23.5	87.5	94.6	80.2
12	31	37.7	23.2	89	96.2	81.5
13	31.5	38.7	23	93.7	101.6	85.5
14	31.9	39.4	23.1	101.9	111.3	92.1
15	32.8	40.5	23.7	113	124.5	101.1
16	34.3	42.1	25	127.7	143.3	111.6
17	36.5	44.6	27	142.1	162.9	120.7
18	39.7	48.1	29.8	157.5	183.8	130.2
19	43.7	52.8	33.1	170	200.7	138.2
20	48.5	58.2	36.9	181.6	215.4	145.7
21	53.5	64.1	40.9	191.4	227.4	152.1
22	58.2	69.8	44.5	199.8	236.6	158.9
23	62.1	74.7	47.3	206.7	243	165.6
24	65	78.6	49.1	212.7	247.8	172.6
25	66.9	81.5	50	217.8	251.4	179.2
26	68.9	84.5	50.7	223.5	255.4	186.4
27	70.7	87.3	51.4	229.6	260.2	193.8
28	72	89.3	51.9	237.1	266.7	202.2
29	73.2	91.1	52.7	244.6	274	209.7
30	74.9	93.3	54	255.3	284.5	220.3
31	76.6	95.3	55.3	262.4	291.9	226.5
32	77.9	96.9	56.3	276.6	307	239.6
33	79	98.3	57.2	289.1	319	250.9
34	80.4	100.2	58.3	303	334	263.3
35	82.7	103	60.1	319	351	277.4
36	86.2	107.5	62.7	336	368	291.8
37	91.5	114.5	66.3	352	386	306
38	99	124.6	71.1	374	408	325
39	108.7	138	77.1	393	428	341
40	120.6	154.2	84.3	418	456	363
41	134	172.6	92.5	435	474	375
42	147.8	191.9	100.8	465	507	401
43	161.7	211	109.2	487	532	418
44	175.4	229.8	117.7	514	562	439
45	189.6	249.1	126.4	546	599	464
46	204.7	270.2	135.2	574	631	487
47	221.7	294.3	144.8	610	671	514
48	243.7	325	157.5	652	718	551
49	273.2	366	175.4	694	766	585
50	309	414	197.7	749	825	634
51	347	466	221.9	785	865	664
52	382	513	244.4	847	930	721
53	410	551	263.4	893	982	763
54	433	580	278.4	946	1,039	813
55	453	608	292.3	997	1,094	862
56	478	641	309	1,056	1,157	919
57	511	685	331	1,114	1,219	975
58	559	750	362	1,191	1,300	1,051
59	626	840	405	1,265	1,378	1,124
60	709	948	461	1,371	1,484	1,234
61	804	1,070	527	1,437	1,551	1,298
62	905	1,202	597	1,552	1,665	1,417
63	1,003	1,322	672	1,647	1,759	1,517
64	1,091	1,428	743	1,747	1,855	1,625
65	1,168	1,521	804	1,855	1,956	1,744
66	1,247	1,612	871	1,940	2,033	1,844
67	1,329	1,701	947	2,048	2,132	1,968
68	1,396	1,776	1,007	2,164	2,234	2,105
69	1,523	1,912	1,126	2,266	2,322	2,227
70	1,738	2,131	1,338	2,415	2,446	2,409
71	1,877	2,265	1,486	2,476	2,494	2,489
72	1,980	2,362	1,598	2,616	2,611	2,656
73	2,120	2,502	1,741	2,699	2,671	2,762
74	2,277	2,655	1,902	2,780	2,726	2,871
75	2,425	2,787	2,061	2,846	2,762	2,964
76	2,587	2,920	2,238	2,878	2,769	3,020
77	2,768	3,062	2,439	2,882	2,749	3,049
78	2,961	3,212	2,668	2,894	2,734	3,094
79	3,164	3,368	2,927	2,840	2,662	3,065
80	3,383	3,522	3,211	2,802	2,598	3,060
81	3,591	3,652	3,498	2,667	2,455	2,937
82	3,765	3,736	3,768	2,592	2,359	2,884
83	3,888	3,760	3,998	2,449	2,203	2,751
84	3,946	3,719	4,161	2,295	2,041	2,600
85	3,943	3,619	4,261	2,096	1,838	2,398
86	3,888	3,470	4,305	1,891	1,639	2,182
87	3,776	3,279	4,280	1,667	1,429	1,939
88	3,612	3,052	4,196	1,447	1,226	1,698
89	3,426	2,794	4,102	1,227	1,028	1,452
90	3,198	2,507	3,943	1,033	854	1,234
91	2,931	2,194	3,721	831	681	999
92	2,669	1,866	3,528	670	543	811
93	2,354	1,533	3,234	523	419	637
94	1,973	1,209	2,791	398	316	488
95	1,576	912	2,287	296.2	233	365
96	1,211	654	1,807	212.9	166.1	263.8
97	903	442	1,395	148.5	115.2	184.9
98	646	278.4	1,036	100.7	77.8	125.8
99	439	161.6	732	67.1	51.7	84.1
100	102.8	0	287.1	0	0	0

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about China and Equatorial Guinea demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• China vs Equatorial Guinea: Complete comparison

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size