Life Expectancy in China vs Congo (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Congo

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Congo
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	101.9	101.9	101.9
99	101	100.6	101.1	101	101	101
98	100.1	99.6	100.2	100.1	100.2	100.1
97	99.3	98.7	99.4	99.2	99.3	99.1
96	98.4	97.9	98.6	98.3	98.4	98.2
95	97.6	97.1	97.8	97.4	97.5	97.4
94	96.8	96.3	97	96.6	96.7	96.5
93	96	95.5	96.2	95.7	95.8	95.7
92	95.3	94.7	95.5	94.9	94.9	94.8
91	94.6	94	94.9	94	94.1	94
90	93.9	93.3	94.2	93.2	93.3	93.2
89	93.2	92.6	93.6	92.4	92.5	92.4
88	92.6	91.9	93	91.6	91.6	91.6
87	92	91.3	92.4	90.9	90.9	90.9
86	91.4	90.6	91.8	90.1	90.1	90.1
85	90.8	90	91.3	89.3	89.3	89.4
84	90.2	89.4	90.7	88.6	88.5	88.7
83	89.6	88.8	90.2	87.9	87.8	88
82	89.1	88.2	89.8	87.2	87.1	87.3
81	88.6	87.7	89.3	86.5	86.4	86.7
80	88.1	87.2	88.9	85.9	85.7	86
79	87.7	86.7	88.5	85.2	85	85.4
78	87.3	86.2	88.2	84.6	84.3	84.8
77	86.9	85.8	87.8	84	83.7	84.3
76	86.5	85.3	87.5	83.4	83.1	83.7
75	86.2	84.9	87.2	82.9	82.5	83.2
74	85.8	84.5	86.9	82.3	81.9	82.7
73	85.5	84.1	86.7	81.8	81.3	82.2
72	85.2	83.7	86.4	81.3	80.8	81.7
71	84.9	83.4	86.1	80.8	80.3	81.3
70	84.6	83	85.9	80.3	79.8	80.8
69	84.3	82.7	85.7	79.9	79.3	80.4
68	84	82.4	85.5	79.5	78.8	80
67	83.8	82.1	85.4	79.1	78.4	79.7
66	83.6	81.8	85.2	78.7	77.9	79.3
65	83.3	81.5	85	78.3	77.5	79
64	83.1	81.3	84.9	77.9	77.1	78.6
63	82.9	81	84.7	77.6	76.7	78.3
62	82.7	80.8	84.6	77.2	76.4	78
61	82.5	80.6	84.5	76.9	76	77.7
60	82.4	80.4	84.3	76.6	75.6	77.4
59	82.2	80.2	84.2	76.3	75.3	77.2
58	82.1	80	84.2	76	75	76.9
57	82	79.8	84.1	75.7	74.7	76.7
56	81.8	79.7	84	75.4	74.4	76.4
55	81.7	79.5	83.9	75.1	74.1	76.2
54	81.6	79.4	83.8	74.9	73.8	75.9
53	81.5	79.2	83.7	74.6	73.5	75.7
52	81.4	79.1	83.7	74.4	73.2	75.5
51	81.3	79	83.6	74.1	73	75.3
50	81.2	78.9	83.5	73.9	72.7	75.1
49	81.1	78.8	83.5	73.7	72.5	74.9
48	81	78.7	83.4	73.5	72.2	74.7
47	81	78.6	83.4	73.3	72	74.5
46	80.9	78.5	83.3	73.1	71.8	74.3
45	80.8	78.4	83.3	72.9	71.6	74.1
44	80.8	78.3	83.2	72.7	71.4	74
43	80.7	78.3	83.2	72.5	71.2	73.8
42	80.6	78.2	83.1	72.3	71	73.7
41	80.6	78.1	83.1	72.2	70.9	73.5
40	80.5	78.1	83.1	72	70.7	73.3
39	80.5	78	83	71.9	70.5	73.2
38	80.5	78	83	71.7	70.4	73.1
37	80.4	77.9	83	71.6	70.2	72.9
36	80.4	77.9	83	71.4	70.1	72.8
35	80.4	77.8	82.9	71.3	69.9	72.7
34	80.3	77.8	82.9	71.2	69.8	72.5
33	80.3	77.8	82.9	71	69.6	72.4
32	80.2	77.7	82.8	70.9	69.5	72.3
31	80.2	77.7	82.8	70.8	69.4	72.2
30	80.2	77.6	82.8	70.7	69.3	72.1
29	80.1	77.6	82.8	70.6	69.1	72
28	80.1	77.6	82.7	70.5	69	71.9
27	80.1	77.5	82.7	70.3	68.9	71.8
26	80	77.5	82.7	70.2	68.8	71.7
25	80	77.4	82.7	70.1	68.7	71.6
24	80	77.4	82.6	70.1	68.6	71.5
23	79.9	77.4	82.6	70	68.5	71.5
22	79.9	77.3	82.6	69.9	68.4	71.4
21	79.9	77.3	82.6	69.8	68.3	71.3
20	79.8	77.3	82.5	69.7	68.2	71.2
19	79.8	77.2	82.5	69.6	68.1	71.2
18	79.8	77.2	82.5	69.6	68	71.1
17	79.8	77.2	82.5	69.5	68	71.1
16	79.8	77.2	82.5	69.4	67.9	71
15	79.7	77.1	82.4	69.4	67.8	71
14	79.7	77.1	82.4	69.3	67.8	70.9
13	79.7	77.1	82.4	69.3	67.8	70.9
12	79.7	77.1	82.4	69.3	67.7	70.8
11	79.7	77	82.4	69.2	67.7	70.8
10	79.6	77	82.4	69.2	67.6	70.8
9	79.6	77	82.4	69.2	67.6	70.7
8	79.6	77	82.3	69.1	67.5	70.7
7	79.6	77	82.3	69.1	67.5	70.6
6	79.6	76.9	82.3	69	67.4	70.6
5	79.6	76.9	82.3	68.9	67.4	70.5
4	79.5	76.9	82.3	68.8	67.3	70.4
3	79.5	76.9	82.2	68.7	67.2	70.3
2	79.5	76.9	82.2	68.5	67	70.1
1	79.5	76.8	82.2	68.2	66.7	69.8
0	79	76.4	81.8	66.4	64.7	68.2

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 70.7 in the Congo, rising to 83.3 and 78.3 at 65, and to 88.1 and 85.9 at 80 — higher than the 79 and 66.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

Congo

Male

Female

1x

Age	Survival probability
	China			Congo
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	0.12%	0.11%	0.13%
99	1.33%	0.38%	2.27%	0.19%	0.17%	0.22%
98	2.06%	0.72%	3.42%	0.3%	0.26%	0.35%
97	3.08%	1.24%	4.95%	0.46%	0.39%	0.54%
96	4.43%	2%	6.91%	0.69%	0.57%	0.82%
95	6.17%	3.05%	9.37%	1.01%	0.81%	1.2%
94	8.32%	4.42%	12.3%	1.43%	1.14%	1.72%
93	10.9%	6.13%	15.8%	1.98%	1.57%	2.4%
92	13.7%	8.19%	19.4%	2.68%	2.12%	3.27%
91	16.8%	10.6%	23.3%	3.55%	2.8%	4.34%
90	20.2%	13.3%	27.4%	4.63%	3.64%	5.65%
89	23.8%	16.3%	31.6%	5.9%	4.65%	7.2%
88	27.5%	19.5%	35.8%	7.39%	5.84%	9%
87	31.4%	23%	40.2%	9.11%	7.23%	11.1%
86	35.4%	26.6%	44.5%	11%	8.81%	13.3%
85	39.4%	30.3%	48.8%	13.2%	10.6%	15.9%
84	43.3%	34.1%	52.9%	15.5%	12.6%	18.6%
83	47.2%	37.9%	56.8%	18.1%	14.8%	21.5%
82	51%	41.7%	60.5%	20.7%	17.1%	24.5%
81	54.5%	45.3%	64%	23.5%	19.6%	27.5%
80	57.8%	48.8%	67.1%	26.4%	22.2%	30.7%
79	60.9%	52.2%	70%	29.3%	24.9%	33.8%
78	63.8%	55.3%	72.5%	32.3%	27.7%	37%
77	66.5%	58.3%	74.9%	35.3%	30.5%	40.1%
76	69%	61.2%	77%	38.2%	33.4%	43.2%
75	71.3%	63.9%	79%	41.2%	36.3%	46.2%
74	73.5%	66.4%	80.8%	44%	39.1%	49%
73	75.6%	68.9%	82.5%	46.8%	41.9%	51.8%
72	77.5%	71.1%	84%	49.5%	44.7%	54.4%
71	79.3%	73.3%	85.5%	52.1%	47.3%	56.9%
70	80.9%	75.3%	86.7%	54.5%	49.9%	59.3%
69	82.4%	77.1%	87.8%	56.9%	52.4%	61.5%
68	83.7%	78.8%	88.8%	59.1%	54.8%	63.5%
67	84.9%	80.4%	89.6%	61.2%	57%	65.5%
66	86.1%	82%	90.5%	63.2%	59.1%	67.3%
65	87.2%	83.4%	91.2%	65.1%	61.2%	69%
64	88.3%	84.8%	91.9%	66.9%	63.1%	70.6%
63	89.2%	86%	92.6%	68.5%	65%	72.1%
62	90.1%	87.1%	93.1%	70.1%	66.8%	73.6%
61	90.8%	88.1%	93.6%	71.6%	68.4%	74.9%
60	91.5%	89%	94.1%	73.1%	70%	76.1%
59	92.1%	89.8%	94.5%	74.4%	71.5%	77.3%
58	92.6%	90.5%	94.8%	75.6%	72.9%	78.4%
57	93.1%	91.2%	95.1%	76.8%	74.3%	79.4%
56	93.5%	91.8%	95.4%	77.9%	75.5%	80.4%
55	94%	92.4%	95.7%	79%	76.7%	81.3%
54	94.4%	92.9%	95.9%	80%	77.9%	82.2%
53	94.8%	93.4%	96.2%	81%	79%	83%
52	95.1%	93.9%	96.4%	81.9%	80%	83.8%
51	95.4%	94.3%	96.6%	82.8%	81%	84.6%
50	95.7%	94.7%	96.8%	83.6%	81.9%	85.3%
49	96%	95.1%	97%	84.3%	82.8%	86%
48	96.2%	95.4%	97.1%	85.1%	83.6%	86.6%
47	96.4%	95.7%	97.3%	85.7%	84.3%	87.2%
46	96.6%	95.9%	97.4%	86.4%	85%	87.8%
45	96.8%	96.1%	97.5%	87%	85.7%	88.3%
44	97%	96.4%	97.6%	87.6%	86.3%	88.8%
43	97.1%	96.6%	97.7%	88.1%	86.9%	89.3%
42	97.3%	96.7%	97.8%	88.6%	87.5%	89.7%
41	97.4%	96.9%	97.9%	89.1%	88%	90.2%
40	97.5%	97%	98%	89.5%	88.5%	90.6%
39	97.6%	97.2%	98.1%	90%	89%	91%
38	97.7%	97.3%	98.1%	90.4%	89.5%	91.4%
37	97.8%	97.4%	98.2%	90.8%	89.9%	91.7%
36	97.9%	97.5%	98.3%	91.1%	90.3%	92%
35	97.9%	97.6%	98.3%	91.5%	90.6%	92.4%
34	98%	97.7%	98.4%	91.8%	91%	92.6%
33	98.1%	97.8%	98.4%	92.1%	91.3%	92.9%
32	98.2%	97.9%	98.5%	92.4%	91.7%	93.2%
31	98.2%	98%	98.5%	92.7%	92%	93.4%
30	98.3%	98%	98.6%	93%	92.2%	93.7%
29	98.4%	98.1%	98.6%	93.2%	92.5%	93.9%
28	98.4%	98.2%	98.7%	93.4%	92.8%	94.1%
27	98.5%	98.3%	98.7%	93.7%	93%	94.3%
26	98.6%	98.4%	98.8%	93.9%	93.3%	94.5%
25	98.6%	98.4%	98.8%	94.1%	93.5%	94.7%
24	98.7%	98.5%	98.9%	94.3%	93.7%	94.9%
23	98.7%	98.6%	98.9%	94.5%	94%	95%
22	98.8%	98.7%	99%	94.7%	94.2%	95.2%
21	98.8%	98.7%	99%	94.8%	94.4%	95.3%
20	98.9%	98.8%	99%	95%	94.5%	95.4%
19	98.9%	98.8%	99.1%	95.1%	94.7%	95.6%
18	99%	98.9%	99.1%	95.3%	94.9%	95.7%
17	99%	98.9%	99.1%	95.4%	95%	95.8%
16	99%	98.9%	99.1%	95.5%	95.1%	95.9%
15	99.1%	99%	99.2%	95.6%	95.2%	95.9%
14	99.1%	99%	99.2%	95.7%	95.3%	96%
13	99.1%	99%	99.2%	95.7%	95.4%	96.1%
12	99.1%	99.1%	99.2%	95.8%	95.4%	96.1%
11	99.2%	99.1%	99.2%	95.8%	95.5%	96.2%
10	99.2%	99.1%	99.3%	95.9%	95.6%	96.2%
9	99.2%	99.2%	99.3%	96%	95.6%	96.3%
8	99.3%	99.2%	99.3%	96%	95.7%	96.4%
7	99.3%	99.2%	99.3%	96.1%	95.8%	96.4%
6	99.3%	99.3%	99.4%	96.2%	95.9%	96.5%
5	99.3%	99.3%	99.4%	96.3%	96%	96.6%
4	99.3%	99.3%	99.4%	96.4%	96.1%	96.8%
3	99.4%	99.3%	99.4%	96.6%	96.3%	96.9%
2	99.4%	99.4%	99.5%	96.9%	96.6%	97.2%
1	99.5%	99.4%	99.5%	97.3%	97%	97.7%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 73.1% in the Congo are expected to live past 60, 80.9% and 54.5% past 70, 57.8% and 26.4% past 80, and only 20.2% and 4.63% 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

Congo

Male

Female

1x

Age	Probability of dying
	China			Congo
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	39.6%	37.4%	41.1%
99	38.1%	51.3%	36.1%	38%	36.1%	39.4%
98	35.7%	46.6%	33.6%	36.2%	34.3%	37.4%
97	33.1%	42.1%	30.9%	34.6%	33.1%	35.6%
96	30.5%	38.1%	28.4%	33%	31.7%	33.8%
95	28.2%	34.3%	26.2%	31.3%	30.3%	32%
94	25.9%	31%	24.1%	29.6%	28.8%	30.1%
93	23.4%	27.9%	21.7%	27.9%	27.3%	28.2%
92	20.8%	25.2%	19%	26.2%	25.8%	26.5%
91	18.5%	22.6%	16.6%	24.5%	24.3%	24.7%
90	16.7%	20.4%	14.9%	23.2%	23.1%	23.2%
89	15.1%	18.4%	13.3%	21.6%	21.6%	21.5%
88	13.6%	16.6%	11.9%	20.2%	20.4%	20%
87	12.4%	15%	10.8%	18.8%	19.2%	18.6%
86	11.2%	13.6%	9.72%	17.6%	18%	17.2%
85	10.1%	12.3%	8.73%	16.3%	16.9%	15.9%
84	9.17%	11.2%	7.82%	15.1%	15.8%	14.6%
83	8.24%	10.1%	6.95%	13.9%	14.7%	13.4%
82	7.35%	9.03%	6.12%	12.9%	13.7%	12.3%
81	6.51%	8.06%	5.36%	11.8%	12.6%	11.2%
80	5.75%	7.17%	4.67%	11%	11.8%	10.3%
79	5.09%	6.39%	4.07%	9.99%	10.9%	9.34%
78	4.52%	5.71%	3.56%	9.21%	10.1%	8.55%
77	4.03%	5.14%	3.15%	8.41%	9.26%	7.75%
76	3.62%	4.65%	2.8%	7.74%	8.57%	7.08%
75	3.27%	4.23%	2.5%	7.11%	7.91%	6.46%
74	2.98%	3.86%	2.25%	6.5%	7.28%	5.86%
73	2.69%	3.5%	2.02%	5.94%	6.7%	5.32%
72	2.45%	3.19%	1.81%	5.43%	6.16%	4.84%
71	2.26%	2.96%	1.66%	4.91%	5.6%	4.34%
70	2.04%	2.7%	1.47%	4.54%	5.18%	3.99%
69	1.76%	2.36%	1.22%	4.1%	4.7%	3.58%
68	1.58%	2.14%	1.08%	3.76%	4.32%	3.27%
67	1.48%	2.01%	1%	3.44%	3.95%	2.97%
66	1.37%	1.86%	0.91%	3.14%	3.62%	2.7%
65	1.26%	1.72%	0.83%	2.9%	3.34%	2.49%
64	1.17%	1.59%	0.76%	2.67%	3.09%	2.28%
63	1.06%	1.45%	0.69%	2.46%	2.86%	2.09%
62	0.95%	1.3%	0.61%	2.28%	2.65%	1.93%
61	0.83%	1.14%	0.53%	2.08%	2.43%	1.76%
60	0.73%	1%	0.46%	1.95%	2.28%	1.65%
59	0.64%	0.88%	0.41%	1.78%	2.08%	1.5%
58	0.57%	0.78%	0.36%	1.66%	1.93%	1.4%
57	0.52%	0.71%	0.33%	1.54%	1.79%	1.3%
56	0.48%	0.66%	0.31%	1.44%	1.68%	1.22%
55	0.45%	0.62%	0.29%	1.35%	1.57%	1.14%
54	0.43%	0.59%	0.27%	1.27%	1.47%	1.07%
53	0.41%	0.55%	0.26%	1.19%	1.37%	1.01%
52	0.38%	0.51%	0.24%	1.12%	1.29%	0.95%
51	0.34%	0.46%	0.22%	1.04%	1.19%	0.88%
50	0.3%	0.41%	0.19%	0.98%	1.12%	0.84%
49	0.27%	0.36%	0.17%	0.91%	1.04%	0.78%
48	0.24%	0.32%	0.15%	0.85%	0.97%	0.73%
47	0.22%	0.29%	0.14%	0.79%	0.9%	0.68%
46	0.2%	0.26%	0.13%	0.74%	0.84%	0.64%
45	0.18%	0.24%	0.12%	0.7%	0.79%	0.61%
44	0.17%	0.22%	0.11%	0.65%	0.73%	0.57%
43	0.16%	0.21%	0.11%	0.61%	0.69%	0.54%
42	0.14%	0.19%	0.1%	0.58%	0.65%	0.51%
41	0.13%	0.17%	0.09%	0.54%	0.6%	0.48%
40	0.12%	0.15%	0.08%	0.52%	0.57%	0.46%
39	0.1%	0.13%	0.07%	0.48%	0.53%	0.43%
38	0.1%	0.12%	0.07%	0.45%	0.5%	0.41%
37	0.09%	0.11%	0.06%	0.43%	0.47%	0.38%
36	0.08%	0.1%	0.06%	0.4%	0.44%	0.36%
35	0.08%	0.1%	0.06%	0.38%	0.42%	0.34%
34	0.08%	0.1%	0.06%	0.36%	0.39%	0.32%
33	0.08%	0.09%	0.05%	0.33%	0.37%	0.3%
32	0.07%	0.09%	0.05%	0.32%	0.35%	0.29%
31	0.07%	0.09%	0.05%	0.3%	0.33%	0.27%
30	0.07%	0.09%	0.05%	0.28%	0.31%	0.26%
29	0.07%	0.09%	0.05%	0.27%	0.3%	0.24%
28	0.07%	0.08%	0.05%	0.26%	0.28%	0.23%
27	0.07%	0.08%	0.05%	0.24%	0.27%	0.21%
26	0.07%	0.08%	0.05%	0.23%	0.26%	0.2%
25	0.06%	0.08%	0.05%	0.22%	0.25%	0.19%
24	0.06%	0.07%	0.05%	0.21%	0.24%	0.18%
23	0.06%	0.07%	0.04%	0.2%	0.23%	0.17%
22	0.05%	0.07%	0.04%	0.19%	0.22%	0.16%
21	0.05%	0.06%	0.04%	0.18%	0.21%	0.15%
20	0.05%	0.05%	0.03%	0.17%	0.19%	0.14%
19	0.04%	0.05%	0.03%	0.15%	0.18%	0.13%
18	0.04%	0.04%	0.03%	0.14%	0.16%	0.12%
17	0.03%	0.04%	0.03%	0.12%	0.14%	0.1%
16	0.03%	0.04%	0.02%	0.11%	0.12%	0.09%
15	0.03%	0.04%	0.02%	0.09%	0.1%	0.08%
14	0.03%	0.04%	0.02%	0.08%	0.09%	0.07%
13	0.03%	0.04%	0.02%	0.07%	0.08%	0.07%
12	0.03%	0.03%	0.02%	0.07%	0.07%	0.06%
11	0.03%	0.03%	0.02%	0.06%	0.07%	0.06%
10	0.03%	0.03%	0.02%	0.06%	0.07%	0.06%
9	0.03%	0.03%	0.02%	0.07%	0.07%	0.06%
8	0.03%	0.03%	0.02%	0.07%	0.08%	0.07%
7	0.02%	0.03%	0.02%	0.08%	0.09%	0.07%
6	0.02%	0.02%	0.02%	0.09%	0.1%	0.09%
5	0.02%	0.02%	0.02%	0.11%	0.11%	0.1%
4	0.02%	0.02%	0.03%	0.14%	0.15%	0.14%
3	0.03%	0.03%	0.03%	0.19%	0.2%	0.19%
2	0.04%	0.04%	0.04%	0.28%	0.28%	0.28%
1	0.05%	0.05%	0.05%	0.44%	0.44%	0.45%
0	0.54%	0.59%	0.49%	2.67%	2.99%	2.35%

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

The annual chance of dying is 0.54% in the birth year in China and 2.67% in the Congo, 0.07% vs 0.28% at age 30, 0.73% vs 1.95% at 60, and 5.75% vs 11% at 80.

Death rate by age in China vs Congo

Chart Table

China

Male

Female

Congo

Male

Female

1x

Age	Death rate
	China			Congo
	Total	Male	Female	Total	Male	Female
100	145	0	355	0	2.72	0
99	505	196.9	819	73.5	61.5	86.1
98	735	334	1,147	109.4	89.1	130.4
97	1,018	523	1,530	160.2	128.3	193.1
96	1,350	762	1,962	227.9	180.2	277
95	1,738	1,046	2,458	315	246.7	385
94	2,153	1,368	2,972	422	329	518
93	2,544	1,713	3,413	552	429	678
92	2,856	2,061	3,693	704	547	865
91	3,108	2,396	3,865	872	679	1,070
90	3,366	2,708	4,066	1,072	841	1,311
89	3,582	2,988	4,200	1,273	1,006	1,549
88	3,745	3,232	4,268	1,492	1,193	1,802
87	3,880	3,440	4,326	1,715	1,387	2,053
86	3,965	3,608	4,325	1,939	1,590	2,297
85	3,995	3,731	4,256	2,150	1,791	2,515
84	3,972	3,803	4,134	2,351	1,991	2,715
83	3,891	3,816	3,953	2,519	2,170	2,871
82	3,745	3,764	3,707	2,671	2,343	3,001
81	3,550	3,655	3,426	2,773	2,477	3,069
80	3,328	3,503	3,132	2,898	2,633	3,165
79	3,103	3,332	2,846	2,932	2,706	3,161
78	2,884	3,160	2,586	2,977	2,793	3,163
77	2,680	2,998	2,356	2,969	2,829	3,109
76	2,497	2,846	2,155	2,960	2,862	3,058
75	2,336	2,704	1,979	2,926	2,871	2,980
74	2,190	2,566	1,823	2,861	2,849	2,875
73	2,034	2,410	1,665	2,778	2,808	2,754
72	1,895	2,269	1,525	2,690	2,752	2,634
71	1,792	2,168	1,415	2,558	2,649	2,472
70	1,654	2,034	1,272	2,476	2,586	2,367
69	1,448	1,822	1,069	2,334	2,463	2,201
68	1,325	1,689	956	2,223	2,365	2,075
67	1,260	1,614	898	2,103	2,254	1,942
66	1,179	1,527	825	1,986	2,143	1,819
65	1,103	1,438	761	1,886	2,046	1,717
64	1,030	1,348	703	1,784	1,953	1,609
63	946	1,247	635	1,689	1,862	1,510
62	853	1,133	564	1,598	1,773	1,420
61	757	1,009	498	1,493	1,666	1,319
60	668	892	436	1,426	1,596	1,254
59	590	791	383	1,327	1,491	1,163
58	527	706	342	1,255	1,411	1,098
57	482	645	313	1,182	1,332	1,032
56	451	603	292	1,123	1,266	980
55	427	572	276.5	1,067	1,204	927
54	408	546	263.3	1,014	1,144	881
53	387	518	249.2	962	1,084	836
52	360	482	231.3	915	1,030	797
51	327	438	210	857	966	747
50	290.9	390	187.2	820	921	716
49	257.4	344	166.1	765	859	669
48	229.6	306	149.2	721	807	631
47	208.9	276.7	137.2	676	757	593
46	192.8	253.9	128.1	638	712	561
45	178.6	234	119.7	605	673	534
44	165.2	215.7	111.4	569	631	505
43	152.2	198	103.3	539	596	481
42	139.1	180	95.4	513	565	459
41	126	161.9	87.5	482	529	434
40	113.4	144.6	79.7	461	506	416
39	102.3	129.3	72.9	434	474	393
38	93	116.7	67.2	411	448	373
37	86	107.2	62.7	387	422	352
36	81	100.6	59.2	367	399	334
35	77.6	96.3	56.7	347	377	316
34	75.4	93.5	55	326	355	296.8
33	73.9	91.7	53.8	308	336	280.5
32	72.9	90.3	53	292.4	319	265.8
31	71.6	88.7	51.9	275.1	301	249.1
30	70	86.7	50.7	264.4	288.9	239.4
29	68.3	84.6	49.4	250.5	274.3	226.3
28	67	82.9	48.7	238.5	262.8	213.9
27	65.8	81	48.1	227.6	252.1	202.6
26	64.1	78.3	47.4	216.8	242.3	190.8
25	62.2	75.4	46.7	206.9	234.1	179.3
24	60.3	72.7	45.8	197.6	225.7	169
23	57.6	69	44.1	188.3	217.3	158.7
22	53.9	64.4	41.5	178.5	207.8	148.7
21	49.4	59.1	38.1	168	196.6	138.8
20	44.8	53.7	34.3	158	184.2	131.3
19	40.4	48.5	30.8	146.1	170.3	121.4
18	36.6	44.2	27.6	133.5	155.1	111.4
17	33.6	40.9	25	117.2	133.7	100.4
16	31.4	38.5	23.1	101.9	113.8	89.7
15	30	36.9	21.9	88	96.3	79.6
14	29.2	35.9	21.3	76.3	82.8	69.7
13	28.7	35.2	21.2	68.1	73.3	62.8
12	28.2	34.1	21.3	63	68	58
11	27.5	32.7	21.6	60.8	65.6	55.9
10	27.6	32	22.6	61	65.2	56.6
9	27.6	31.1	23.5	63.5	67.8	59.1
8	26.3	28.8	23.3	68.7	73.3	64
7	24.2	25.8	22.4	76.9	81.7	72
6	22.5	23.1	21.8	87.5	91.9	82.9
5	22.3	22.3	22.4	104	107.7	100.1
4	24.6	24.2	25	135.6	139.5	131.7
3	29.6	29.3	29.9	186.3	189.4	183.1
2	36.1	35.9	36.3	269.7	269.8	269.5
1	45.9	46.8	44.9	433	425	441
0	540	585	490	2,669	2,985	2,347

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 78 in the Congo. The median age of death is 82.3 in China and 71.8 in the Congo, 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 the Congo more than their death rates.

Life expectancy in other countries

+ -

1x