Life Expectancy in China vs Suriname (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Suriname

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Suriname
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	102.6	102	102.7
99	101	100.6	101.1	101.7	101.1	101.8
98	100.1	99.6	100.2	100.9	100.2	101
97	99.3	98.7	99.4	100	99.4	100.2
96	98.4	97.9	98.6	99.2	98.5	99.4
95	97.6	97.1	97.8	98.4	97.6	98.6
94	96.8	96.3	97	97.6	96.8	97.8
93	96	95.5	96.2	96.8	95.9	97.1
92	95.3	94.7	95.5	96	95.1	96.3
91	94.6	94	94.9	95.2	94.3	95.6
90	93.9	93.3	94.2	94.5	93.5	94.9
89	93.2	92.6	93.6	93.8	92.8	94.2
88	92.6	91.9	93	93	92	93.5
87	92	91.3	92.4	92.3	91.3	92.9
86	91.4	90.6	91.8	91.7	90.5	92.2
85	90.8	90	91.3	91	89.8	91.6
84	90.2	89.4	90.7	90.4	89.1	91
83	89.6	88.8	90.2	89.7	88.4	90.5
82	89.1	88.2	89.8	89.1	87.8	89.9
81	88.6	87.7	89.3	88.5	87.1	89.4
80	88.1	87.2	88.9	88	86.5	88.9
79	87.7	86.7	88.5	87.4	86	88.4
78	87.3	86.2	88.2	86.9	85.4	87.9
77	86.9	85.8	87.8	86.4	84.9	87.5
76	86.5	85.3	87.5	86	84.4	87
75	86.2	84.9	87.2	85.5	83.9	86.6
74	85.8	84.5	86.9	85.1	83.4	86.3
73	85.5	84.1	86.7	84.7	82.9	85.9
72	85.2	83.7	86.4	84.3	82.5	85.6
71	84.9	83.4	86.1	83.9	82	85.3
70	84.6	83	85.9	83.5	81.6	85
69	84.3	82.7	85.7	83.1	81.2	84.6
68	84	82.4	85.5	82.8	80.8	84.3
67	83.8	82.1	85.4	82.4	80.4	84.1
66	83.6	81.8	85.2	82.1	80	83.8
65	83.3	81.5	85	81.8	79.6	83.5
64	83.1	81.3	84.9	81.4	79.3	83.3
63	82.9	81	84.7	81.2	78.9	83.1
62	82.7	80.8	84.6	80.9	78.6	82.9
61	82.5	80.6	84.5	80.6	78.3	82.7
60	82.4	80.4	84.3	80.3	78	82.4
59	82.2	80.2	84.2	80.1	77.7	82.2
58	82.1	80	84.2	79.8	77.4	82
57	82	79.8	84.1	79.6	77.1	81.8
56	81.8	79.7	84	79.3	76.8	81.7
55	81.7	79.5	83.9	79.1	76.5	81.5
54	81.6	79.4	83.8	78.9	76.3	81.3
53	81.5	79.2	83.7	78.7	76.1	81.2
52	81.4	79.1	83.7	78.5	75.9	81
51	81.3	79	83.6	78.3	75.6	80.9
50	81.2	78.9	83.5	78.2	75.5	80.8
49	81.1	78.8	83.5	78	75.3	80.7
48	81	78.7	83.4	77.9	75.1	80.5
47	81	78.6	83.4	77.7	75	80.4
46	80.9	78.5	83.3	77.6	74.8	80.3
45	80.8	78.4	83.3	77.5	74.7	80.2
44	80.8	78.3	83.2	77.4	74.5	80.1
43	80.7	78.3	83.2	77.3	74.4	80.1
42	80.6	78.2	83.1	77.1	74.3	80
41	80.6	78.1	83.1	77	74.2	79.9
40	80.5	78.1	83.1	76.9	74.1	79.8
39	80.5	78	83	76.8	73.9	79.7
38	80.5	78	83	76.7	73.8	79.6
37	80.4	77.9	83	76.6	73.7	79.5
36	80.4	77.9	83	76.5	73.6	79.4
35	80.4	77.8	82.9	76.4	73.5	79.3
34	80.3	77.8	82.9	76.3	73.4	79.2
33	80.3	77.8	82.9	76.2	73.3	79.2
32	80.2	77.7	82.8	76.1	73.2	79.1
31	80.2	77.7	82.8	76.1	73.1	79
30	80.2	77.6	82.8	76	73	79
29	80.1	77.6	82.8	75.9	72.9	78.9
28	80.1	77.6	82.7	75.8	72.8	78.8
27	80.1	77.5	82.7	75.7	72.7	78.8
26	80	77.5	82.7	75.7	72.7	78.7
25	80	77.4	82.7	75.6	72.6	78.7
24	80	77.4	82.6	75.5	72.5	78.6
23	79.9	77.4	82.6	75.5	72.4	78.6
22	79.9	77.3	82.6	75.4	72.4	78.5
21	79.9	77.3	82.6	75.4	72.3	78.5
20	79.8	77.3	82.5	75.3	72.2	78.4
19	79.8	77.2	82.5	75.3	72.2	78.4
18	79.8	77.2	82.5	75.2	72.1	78.3
17	79.8	77.2	82.5	75.2	72.1	78.3
16	79.8	77.2	82.5	75.1	72	78.3
15	79.7	77.1	82.4	75.1	72	78.2
14	79.7	77.1	82.4	75.1	72	78.2
13	79.7	77.1	82.4	75.1	72	78.2
12	79.7	77.1	82.4	75	72	78.2
11	79.7	77	82.4	75	71.9	78.2
10	79.6	77	82.4	75	71.9	78.1
9	79.6	77	82.4	75	71.9	78.1
8	79.6	77	82.3	75	71.9	78.1
7	79.6	77	82.3	75	71.9	78.1
6	79.6	76.9	82.3	74.9	71.9	78.1
5	79.6	76.9	82.3	74.9	71.8	78.1
4	79.5	76.9	82.3	74.9	71.8	78
3	79.5	76.9	82.2	74.9	71.8	78
2	79.5	76.9	82.2	74.8	71.8	78
1	79.5	76.8	82.2	74.8	71.7	77.9
0	79	76.4	81.8	74	70.9	77.3

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 76 in Suriname, rising to 83.3 and 81.8 at 65, and to 88.1 and 88 at 80 — higher than the 79 and 74 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

Suriname

Male

Female

1x

Age	Survival probability
	China			Suriname
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	1.24%	0.28%	2.23%
99	1.33%	0.38%	2.27%	1.73%	0.44%	3.05%
98	2.06%	0.72%	3.42%	2.36%	0.67%	4.08%
97	3.08%	1.24%	4.95%	3.14%	0.98%	5.33%
96	4.43%	2%	6.91%	4.11%	1.41%	6.83%
95	6.17%	3.05%	9.37%	5.27%	1.98%	8.57%
94	8.32%	4.42%	12.3%	6.64%	2.72%	10.6%
93	10.9%	6.13%	15.8%	8.24%	3.65%	12.8%
92	13.7%	8.19%	19.4%	10.1%	4.78%	15.3%
91	16.8%	10.6%	23.3%	12.1%	6.14%	18%
90	20.2%	13.3%	27.4%	14.4%	7.73%	20.9%
89	23.8%	16.3%	31.6%	16.9%	9.55%	24%
88	27.5%	19.5%	35.8%	19.6%	11.6%	27.2%
87	31.4%	23%	40.2%	22.4%	13.9%	30.5%
86	35.4%	26.6%	44.5%	25.3%	16.4%	33.8%
85	39.4%	30.3%	48.8%	28.4%	19.1%	37.2%
84	43.3%	34.1%	52.9%	31.5%	22%	40.6%
83	47.2%	37.9%	56.8%	34.7%	25.1%	43.9%
82	51%	41.7%	60.5%	37.8%	28.2%	47.2%
81	54.5%	45.3%	64%	41%	31.4%	50.4%
80	57.8%	48.8%	67.1%	44.1%	34.5%	53.5%
79	60.9%	52.2%	70%	47%	37.6%	56.5%
78	63.8%	55.3%	72.5%	49.9%	40.6%	59.3%
77	66.5%	58.3%	74.9%	52.7%	43.5%	62%
76	69%	61.2%	77%	55.3%	46.4%	64.4%
75	71.3%	63.9%	79%	57.8%	49.1%	66.7%
74	73.5%	66.4%	80.8%	60.2%	51.7%	68.7%
73	75.6%	68.9%	82.5%	62.4%	54.3%	70.6%
72	77.5%	71.1%	84%	64.5%	56.8%	72.4%
71	79.3%	73.3%	85.5%	66.5%	59.2%	74.1%
70	80.9%	75.3%	86.7%	68.5%	61.5%	75.8%
69	82.4%	77.1%	87.8%	70.3%	63.7%	77.3%
68	83.7%	78.8%	88.8%	72.1%	65.8%	78.8%
67	84.9%	80.4%	89.6%	73.8%	67.8%	80.2%
66	86.1%	82%	90.5%	75.4%	69.8%	81.4%
65	87.2%	83.4%	91.2%	76.9%	71.6%	82.6%
64	88.3%	84.8%	91.9%	78.3%	73.3%	83.6%
63	89.2%	86%	92.6%	79.6%	74.9%	84.6%
62	90.1%	87.1%	93.1%	80.8%	76.5%	85.5%
61	90.8%	88.1%	93.6%	82%	78%	86.3%
60	91.5%	89%	94.1%	83.1%	79.4%	87.1%
59	92.1%	89.8%	94.5%	84.2%	80.7%	87.9%
58	92.6%	90.5%	94.8%	85.2%	82%	88.7%
57	93.1%	91.2%	95.1%	86.1%	83.1%	89.4%
56	93.5%	91.8%	95.4%	87%	84.2%	90%
55	94%	92.4%	95.7%	87.9%	85.3%	90.7%
54	94.4%	92.9%	95.9%	88.6%	86.2%	91.2%
53	94.8%	93.4%	96.2%	89.3%	87.1%	91.7%
52	95.1%	93.9%	96.4%	90%	87.9%	92.1%
51	95.4%	94.3%	96.6%	90.6%	88.7%	92.5%
50	95.7%	94.7%	96.8%	91.1%	89.4%	92.9%
49	96%	95.1%	97%	91.6%	90%	93.3%
48	96.2%	95.4%	97.1%	92%	90.6%	93.6%
47	96.4%	95.7%	97.3%	92.5%	91.1%	93.9%
46	96.6%	95.9%	97.4%	92.8%	91.5%	94.2%
45	96.8%	96.1%	97.5%	93.2%	92%	94.5%
44	97%	96.4%	97.6%	93.5%	92.4%	94.7%
43	97.1%	96.6%	97.7%	93.8%	92.7%	94.9%
42	97.3%	96.7%	97.8%	94.1%	93.1%	95.2%
41	97.4%	96.9%	97.9%	94.4%	93.4%	95.4%
40	97.5%	97%	98%	94.7%	93.8%	95.6%
39	97.6%	97.2%	98.1%	94.9%	94.1%	95.8%
38	97.7%	97.3%	98.1%	95.2%	94.4%	96.1%
37	97.8%	97.4%	98.2%	95.5%	94.7%	96.3%
36	97.9%	97.5%	98.3%	95.7%	95%	96.5%
35	97.9%	97.6%	98.3%	96%	95.2%	96.7%
34	98%	97.7%	98.4%	96.2%	95.5%	96.9%
33	98.1%	97.8%	98.4%	96.4%	95.7%	97%
32	98.2%	97.9%	98.5%	96.5%	96%	97.2%
31	98.2%	98%	98.5%	96.7%	96.2%	97.3%
30	98.3%	98%	98.6%	96.9%	96.4%	97.4%
29	98.4%	98.1%	98.6%	97.1%	96.6%	97.6%
28	98.4%	98.2%	98.7%	97.2%	96.8%	97.7%
27	98.5%	98.3%	98.7%	97.4%	96.9%	97.8%
26	98.6%	98.4%	98.8%	97.5%	97.1%	97.9%
25	98.6%	98.4%	98.8%	97.6%	97.3%	98%
24	98.7%	98.5%	98.9%	97.8%	97.4%	98.1%
23	98.7%	98.6%	98.9%	97.9%	97.6%	98.2%
22	98.8%	98.7%	99%	98%	97.7%	98.3%
21	98.8%	98.7%	99%	98.1%	97.8%	98.3%
20	98.9%	98.8%	99%	98.2%	98%	98.4%
19	98.9%	98.8%	99.1%	98.3%	98.1%	98.5%
18	99%	98.9%	99.1%	98.4%	98.2%	98.5%
17	99%	98.9%	99.1%	98.4%	98.3%	98.6%
16	99%	98.9%	99.1%	98.5%	98.3%	98.7%
15	99.1%	99%	99.2%	98.5%	98.4%	98.7%
14	99.1%	99%	99.2%	98.6%	98.4%	98.7%
13	99.1%	99%	99.2%	98.6%	98.4%	98.8%
12	99.1%	99.1%	99.2%	98.6%	98.5%	98.8%
11	99.2%	99.1%	99.2%	98.7%	98.5%	98.8%
10	99.2%	99.1%	99.3%	98.7%	98.5%	98.9%
9	99.2%	99.2%	99.3%	98.7%	98.5%	98.9%
8	99.3%	99.2%	99.3%	98.7%	98.6%	98.9%
7	99.3%	99.2%	99.3%	98.8%	98.6%	98.9%
6	99.3%	99.3%	99.4%	98.8%	98.6%	99%
5	99.3%	99.3%	99.4%	98.8%	98.6%	99%
4	99.3%	99.3%	99.4%	98.8%	98.7%	99%
3	99.4%	99.3%	99.4%	98.9%	98.7%	99%
2	99.4%	99.4%	99.5%	98.9%	98.8%	99.1%
1	99.5%	99.4%	99.5%	99%	98.8%	99.1%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 83.1% in Suriname are expected to live past 60, 80.9% and 68.5% past 70, 57.8% and 44.1% past 80, and only 20.2% and 14.4% 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

Suriname

Male

Female

1x

Age	Probability of dying
	China			Suriname
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	29.6%	37.7%	28.4%
99	38.1%	51.3%	36.1%	28.2%	35.9%	26.9%
98	35.7%	46.6%	33.6%	26.6%	34.1%	25.1%
97	33.1%	42.1%	30.9%	25%	32.3%	23.5%
96	30.5%	38.1%	28.4%	23.5%	30.4%	21.9%
95	28.2%	34.3%	26.2%	22%	28.7%	20.3%
94	25.9%	31%	24.1%	20.7%	27%	18.9%
93	23.4%	27.9%	21.7%	19.4%	25.4%	17.5%
92	20.8%	25.2%	19%	18.2%	23.7%	16.3%
91	18.5%	22.6%	16.6%	17%	22.1%	15%
90	16.7%	20.4%	14.9%	15.8%	20.6%	13.9%
89	15.1%	18.4%	13.3%	14.7%	19.1%	12.8%
88	13.6%	16.6%	11.9%	13.6%	17.7%	11.8%
87	12.4%	15%	10.8%	12.6%	16.5%	10.8%
86	11.2%	13.6%	9.72%	11.6%	15.3%	9.91%
85	10.1%	12.3%	8.73%	10.7%	14.2%	9.07%
84	9.17%	11.2%	7.82%	9.94%	13.2%	8.3%
83	8.24%	10.1%	6.95%	9.17%	12.1%	7.6%
82	7.35%	9.03%	6.12%	8.4%	11.1%	6.96%
81	6.51%	8.06%	5.36%	7.66%	10.1%	6.37%
80	5.75%	7.17%	4.67%	6.97%	9.11%	5.81%
79	5.09%	6.39%	4.07%	6.35%	8.21%	5.28%
78	4.52%	5.71%	3.56%	5.78%	7.4%	4.76%
77	4.03%	5.14%	3.15%	5.26%	6.7%	4.26%
76	3.62%	4.65%	2.8%	4.76%	6.09%	3.79%
75	3.27%	4.23%	2.5%	4.3%	5.57%	3.37%
74	2.98%	3.86%	2.25%	3.9%	5.12%	3.01%
73	2.69%	3.5%	2.02%	3.55%	4.73%	2.72%
72	2.45%	3.19%	1.81%	3.27%	4.37%	2.48%
71	2.26%	2.96%	1.66%	3.03%	4.05%	2.3%
70	2.04%	2.7%	1.47%	2.84%	3.74%	2.15%
69	1.76%	2.36%	1.22%	2.66%	3.47%	2.02%
68	1.58%	2.14%	1.08%	2.48%	3.21%	1.87%
67	1.48%	2.01%	1%	2.3%	2.97%	1.71%
66	1.37%	1.86%	0.91%	2.11%	2.75%	1.55%
65	1.26%	1.72%	0.83%	1.94%	2.54%	1.38%
64	1.17%	1.59%	0.76%	1.78%	2.36%	1.24%
63	1.06%	1.45%	0.69%	1.64%	2.19%	1.12%
62	0.95%	1.3%	0.61%	1.53%	2.04%	1.04%
61	0.83%	1.14%	0.53%	1.43%	1.89%	0.98%
60	0.73%	1%	0.46%	1.34%	1.76%	0.93%
59	0.64%	0.88%	0.41%	1.27%	1.64%	0.9%
58	0.57%	0.78%	0.36%	1.19%	1.52%	0.86%
57	0.52%	0.71%	0.33%	1.11%	1.42%	0.81%
56	0.48%	0.66%	0.31%	1.03%	1.31%	0.74%
55	0.45%	0.62%	0.29%	0.94%	1.21%	0.67%
54	0.43%	0.59%	0.27%	0.86%	1.11%	0.6%
53	0.41%	0.55%	0.26%	0.78%	1.02%	0.54%
52	0.38%	0.51%	0.24%	0.71%	0.93%	0.48%
51	0.34%	0.46%	0.22%	0.65%	0.85%	0.44%
50	0.3%	0.41%	0.19%	0.59%	0.76%	0.41%
49	0.27%	0.36%	0.17%	0.54%	0.69%	0.38%
48	0.24%	0.32%	0.15%	0.49%	0.62%	0.35%
47	0.22%	0.29%	0.14%	0.45%	0.56%	0.33%
46	0.2%	0.26%	0.13%	0.41%	0.51%	0.3%
45	0.18%	0.24%	0.12%	0.37%	0.47%	0.28%
44	0.17%	0.22%	0.11%	0.35%	0.43%	0.26%
43	0.16%	0.21%	0.11%	0.33%	0.4%	0.24%
42	0.14%	0.19%	0.1%	0.31%	0.38%	0.23%
41	0.13%	0.17%	0.09%	0.3%	0.37%	0.23%
40	0.12%	0.15%	0.08%	0.3%	0.36%	0.23%
39	0.1%	0.13%	0.07%	0.29%	0.34%	0.24%
38	0.1%	0.12%	0.07%	0.28%	0.33%	0.24%
37	0.09%	0.11%	0.06%	0.27%	0.32%	0.23%
36	0.08%	0.1%	0.06%	0.26%	0.3%	0.21%
35	0.08%	0.1%	0.06%	0.24%	0.28%	0.2%
34	0.08%	0.1%	0.06%	0.22%	0.26%	0.18%
33	0.08%	0.09%	0.05%	0.2%	0.24%	0.16%
32	0.07%	0.09%	0.05%	0.19%	0.23%	0.15%
31	0.07%	0.09%	0.05%	0.18%	0.22%	0.14%
30	0.07%	0.09%	0.05%	0.18%	0.21%	0.14%
29	0.07%	0.09%	0.05%	0.17%	0.21%	0.13%
28	0.07%	0.08%	0.05%	0.16%	0.2%	0.13%
27	0.07%	0.08%	0.05%	0.15%	0.19%	0.12%
26	0.07%	0.08%	0.05%	0.14%	0.18%	0.11%
25	0.06%	0.08%	0.05%	0.13%	0.17%	0.1%
24	0.06%	0.07%	0.05%	0.12%	0.16%	0.09%
23	0.06%	0.07%	0.04%	0.11%	0.15%	0.08%
22	0.05%	0.07%	0.04%	0.11%	0.14%	0.08%
21	0.05%	0.06%	0.04%	0.1%	0.13%	0.07%
20	0.05%	0.05%	0.03%	0.1%	0.13%	0.07%
19	0.04%	0.05%	0.03%	0.09%	0.12%	0.07%
18	0.04%	0.04%	0.03%	0.08%	0.1%	0.07%
17	0.03%	0.04%	0.03%	0.07%	0.08%	0.06%
16	0.03%	0.04%	0.02%	0.06%	0.07%	0.06%
15	0.03%	0.04%	0.02%	0.05%	0.05%	0.05%
14	0.03%	0.04%	0.02%	0.04%	0.04%	0.04%
13	0.03%	0.04%	0.02%	0.03%	0.03%	0.03%
12	0.03%	0.03%	0.02%	0.03%	0.03%	0.03%
11	0.03%	0.03%	0.02%	0.02%	0.02%	0.03%
10	0.03%	0.03%	0.02%	0.02%	0.02%	0.02%
9	0.03%	0.03%	0.02%	0.02%	0.02%	0.02%
8	0.03%	0.03%	0.02%	0.02%	0.02%	0.02%
7	0.02%	0.03%	0.02%	0.03%	0.03%	0.02%
6	0.02%	0.02%	0.02%	0.03%	0.03%	0.03%
5	0.02%	0.02%	0.02%	0.03%	0.03%	0.03%
4	0.02%	0.02%	0.03%	0.03%	0.04%	0.03%
3	0.03%	0.03%	0.03%	0.04%	0.04%	0.03%
2	0.04%	0.04%	0.04%	0.04%	0.05%	0.04%
1	0.05%	0.05%	0.05%	0.05%	0.05%	0.04%
0	0.54%	0.59%	0.49%	1.03%	1.18%	0.87%

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

The annual chance of dying is 0.54% in the birth year in China and 1.03% in Suriname, 0.07% vs 0.18% at age 30, 0.73% vs 1.34% at 60, and 5.75% vs 6.97% at 80.

Death rate by age in China vs Suriname

Chart Table

China

Male

Female

Suriname

Male

Female

1x

Age	Death rate
	China			Suriname
	Total	Male	Female	Total	Male	Female
100	145	0	355	298.7	32.9	574
99	505	196.9	819	487	157.9	820
98	735	334	1,147	626	227.4	1,026
97	1,018	523	1,530	786	317	1,252
96	1,350	762	1,962	965	431	1,493
95	1,738	1,046	2,458	1,161	569	1,742
94	2,153	1,368	2,972	1,375	736	1,998
93	2,544	1,713	3,413	1,601	927	2,248
92	2,856	2,061	3,693	1,829	1,136	2,487
91	3,108	2,396	3,865	2,056	1,357	2,707
90	3,366	2,708	4,066	2,280	1,590	2,904
89	3,582	2,988	4,200	2,487	1,825	3,070
88	3,745	3,232	4,268	2,666	2,060	3,201
87	3,880	3,440	4,326	2,813	2,292	3,296
86	3,965	3,608	4,325	2,938	2,516	3,353
85	3,995	3,731	4,256	3,043	2,722	3,376
84	3,972	3,803	4,134	3,128	2,902	3,370
83	3,891	3,816	3,953	3,179	3,043	3,338
82	3,745	3,764	3,707	3,180	3,132	3,284
81	3,550	3,655	3,426	3,138	3,164	3,209
80	3,328	3,503	3,132	3,072	3,146	3,108
79	3,103	3,332	2,846	2,987	3,089	2,982
78	2,884	3,160	2,586	2,887	3,008	2,825
77	2,680	2,998	2,356	2,772	2,916	2,642
76	2,497	2,846	2,155	2,636	2,823	2,443
75	2,336	2,704	1,979	2,489	2,733	2,245
74	2,190	2,566	1,823	2,346	2,650	2,068
73	2,034	2,410	1,665	2,216	2,568	1,919
72	1,895	2,269	1,525	2,106	2,484	1,799
71	1,792	2,168	1,415	2,018	2,396	1,707
70	1,654	2,034	1,272	1,942	2,303	1,631
69	1,448	1,822	1,069	1,868	2,209	1,559
68	1,325	1,689	956	1,786	2,112	1,474
67	1,260	1,614	898	1,695	2,014	1,373
66	1,179	1,527	825	1,594	1,917	1,258
65	1,103	1,438	761	1,490	1,821	1,141
64	1,030	1,348	703	1,395	1,730	1,035
63	946	1,247	635	1,309	1,643	949
62	853	1,133	564	1,233	1,558	886
61	757	1,009	498	1,170	1,477	843
60	668	892	436	1,116	1,398	814
59	590	791	383	1,068	1,323	790
58	527	706	342	1,016	1,250	761
57	482	645	313	960	1,177	720
56	451	603	292	897	1,105	667
55	427	572	276.5	829	1,033	606
54	408	546	263.3	762	961	545
53	387	518	249.2	700	890	491
52	360	482	231.3	642	819	446
51	327	438	210	587	750	410
50	290.9	390	187.2	536	683	381
49	257.4	344	166.1	490	621	356
48	229.6	306	149.2	449	563	332
47	208.9	276.7	137.2	412	511	308
46	192.8	253.9	128.1	379	466	283.7
45	178.6	234	119.7	349	428	261.3
44	165.2	215.7	111.4	324	397	242.9
43	152.2	198	103.3	306	373	229.9
42	139.1	180	95.4	293.2	356	223.1
41	126	161.9	87.5	285.5	343	221.7
40	113.4	144.6	79.7	280.9	334	224
39	102.3	129.3	72.9	276.8	324	226.4
38	93	116.7	67.2	270.7	314	225.8
37	86	107.2	62.7	260.6	299.8	219.4
36	81	100.6	59.2	246.2	283.2	206.8
35	77.6	96.3	56.7	229.1	265.5	190.4
34	75.4	93.5	55	211.7	248.1	173.2
33	73.9	91.7	53.8	196.3	232.9	158
32	72.9	90.3	53	184.7	221.1	146.7
31	71.6	88.7	51.9	176.2	212.2	139.1
30	70	86.7	50.7	170.2	205.4	134
29	68.3	84.6	49.4	164.7	198.9	129.7
28	67	82.9	48.7	158.2	191.6	124.1
27	65.8	81	48.1	150.1	182.7	116.8
26	64.1	78.3	47.4	140.3	172.3	107.5
25	62.2	75.4	46.7	130	161.5	97.7
24	60.3	72.7	45.8	120.2	151.1	88.5
23	57.6	69	44.1	112.4	142.7	81.3
22	53.9	64.4	41.5	106.7	136.2	76.3
21	49.4	59.1	38.1	102.4	130.6	73.4
20	44.8	53.7	34.3	98.3	124.1	71.7
19	40.4	48.5	30.8	92.3	114	69.9
18	36.6	44.2	27.6	83.5	99.7	66.9
17	33.6	40.9	25	72.4	82.4	62
16	31.4	38.5	23.1	60	64.7	55.2
15	30	36.9	21.9	48.6	49.4	47.7
14	29.2	35.9	21.3	39	37.6	40.4
13	28.7	35.2	21.2	32	29.7	34.3
12	28.2	34.1	21.3	27.3	25	29.7
11	27.5	32.7	21.6	24.5	22.5	26.6
10	27.6	32	22.6	23.2	21.8	24.6
9	27.6	31.1	23.5	23.1	22.5	23.6
8	26.3	28.8	23.3	23.9	24.3	23.5
7	24.2	25.8	22.4	25.6	27	24.2
6	22.5	23.1	21.8	28	30.2	25.6
5	22.3	22.3	22.4	30.9	33.8	27.9
4	24.6	24.2	25	34.3	37.6	30.8
3	29.6	29.3	29.9	38	41.3	34.5
2	36.1	35.9	36.3	42.2	45.4	39
1	45.9	46.8	44.9	47.1	49.8	44.3
0	540	585	490	1,028	1,180	871

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 82 in Suriname. The median age of death is 82.3 in China and 78 in Suriname, 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 Suriname more than their death rates.

Life expectancy in other countries

+ -

1x