Life Expectancy in China vs DR Congo (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

DR Congo

Male

Female

1x

Current age, years	Total life expectancy, years
	China			DR Congo
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	101.8	101.7	101.8
99	101	100.6	101.1	100.8	100.7	100.9
98	100.1	99.6	100.2	99.9	99.8	100
97	99.3	98.7	99.4	99	98.8	99.1
96	98.4	97.9	98.6	98.1	97.9	98.2
95	97.6	97.1	97.8	97.3	97	97.3
94	96.8	96.3	97	96.4	96.2	96.5
93	96	95.5	96.2	95.5	95.3	95.7
92	95.3	94.7	95.5	94.7	94.4	94.8
91	94.6	94	94.9	93.9	93.6	94
90	93.9	93.3	94.2	93.1	92.8	93.3
89	93.2	92.6	93.6	92.3	92	92.5
88	92.6	91.9	93	91.5	91.2	91.7
87	92	91.3	92.4	90.8	90.4	91
86	91.4	90.6	91.8	90	89.7	90.2
85	90.8	90	91.3	89.3	89	89.5
84	90.2	89.4	90.7	88.6	88.3	88.8
83	89.6	88.8	90.2	87.9	87.6	88.1
82	89.1	88.2	89.8	87.2	86.9	87.4
81	88.6	87.7	89.3	86.5	86.2	86.8
80	88.1	87.2	88.9	85.9	85.6	86.1
79	87.7	86.7	88.5	85.3	84.9	85.5
78	87.3	86.2	88.2	84.7	84.3	85
77	86.9	85.8	87.8	84.1	83.7	84.4
76	86.5	85.3	87.5	83.6	83.2	83.9
75	86.2	84.9	87.2	83	82.6	83.4
74	85.8	84.5	86.9	82.5	82.1	82.9
73	85.5	84.1	86.7	82	81.6	82.4
72	85.2	83.7	86.4	81.5	81.1	81.9
71	84.9	83.4	86.1	81.1	80.6	81.5
70	84.6	83	85.9	80.6	80.1	81
69	84.3	82.7	85.7	80.2	79.7	80.6
68	84	82.4	85.5	79.8	79.2	80.3
67	83.8	82.1	85.4	79.4	78.8	79.9
66	83.6	81.8	85.2	79	78.4	79.5
65	83.3	81.5	85	78.6	78	79.2
64	83.1	81.3	84.9	78.3	77.6	78.9
63	82.9	81	84.7	78	77.3	78.6
62	82.7	80.8	84.6	77.6	76.9	78.3
61	82.5	80.6	84.5	77.3	76.6	78
60	82.4	80.4	84.3	77.1	76.3	77.8
59	82.2	80.2	84.2	76.8	76	77.5
58	82.1	80	84.2	76.5	75.7	77.3
57	82	79.8	84.1	76.3	75.4	77.1
56	81.8	79.7	84	76	75.1	76.8
55	81.7	79.5	83.9	75.8	74.9	76.6
54	81.6	79.4	83.8	75.5	74.6	76.4
53	81.5	79.2	83.7	75.3	74.3	76.2
52	81.4	79.1	83.7	75	74.1	76
51	81.3	79	83.6	74.8	73.8	75.8
50	81.2	78.9	83.5	74.6	73.6	75.6
49	81.1	78.8	83.5	74.4	73.3	75.4
48	81	78.7	83.4	74.2	73.1	75.2
47	81	78.6	83.4	74	72.9	75.1
46	80.9	78.5	83.3	73.8	72.7	74.9
45	80.8	78.4	83.3	73.6	72.5	74.7
44	80.8	78.3	83.2	73.4	72.3	74.5
43	80.7	78.3	83.2	73.2	72.1	74.4
42	80.6	78.2	83.1	73.1	71.9	74.2
41	80.6	78.1	83.1	72.9	71.7	74
40	80.5	78.1	83.1	72.7	71.5	73.9
39	80.5	78	83	72.5	71.3	73.7
38	80.5	78	83	72.3	71.1	73.5
37	80.4	77.9	83	72.2	70.9	73.4
36	80.4	77.9	83	72	70.7	73.2
35	80.4	77.8	82.9	71.8	70.5	73.1
34	80.3	77.8	82.9	71.7	70.3	72.9
33	80.3	77.8	82.9	71.5	70.2	72.8
32	80.2	77.7	82.8	71.3	70	72.6
31	80.2	77.7	82.8	71.1	69.8	72.5
30	80.2	77.6	82.8	71	69.6	72.3
29	80.1	77.6	82.8	70.8	69.4	72.2
28	80.1	77.6	82.7	70.6	69.2	72
27	80.1	77.5	82.7	70.5	69	71.9
26	80	77.5	82.7	70.3	68.8	71.8
25	80	77.4	82.7	70.1	68.6	71.6
24	80	77.4	82.6	69.9	68.4	71.5
23	79.9	77.4	82.6	69.8	68.2	71.3
22	79.9	77.3	82.6	69.6	68	71.2
21	79.9	77.3	82.6	69.4	67.8	71.1
20	79.8	77.3	82.5	69.3	67.6	70.9
19	79.8	77.2	82.5	69.1	67.4	70.8
18	79.8	77.2	82.5	69	67.2	70.7
17	79.8	77.2	82.5	68.8	67.1	70.6
16	79.8	77.2	82.5	68.7	67	70.4
15	79.7	77.1	82.4	68.6	66.8	70.3
14	79.7	77.1	82.4	68.5	66.7	70.2
13	79.7	77.1	82.4	68.4	66.6	70.1
12	79.7	77.1	82.4	68.3	66.5	70
11	79.7	77	82.4	68.2	66.4	69.9
10	79.6	77	82.4	68	66.3	69.8
9	79.6	77	82.4	67.9	66.1	69.7
8	79.6	77	82.3	67.7	65.9	69.5
7	79.6	77	82.3	67.5	65.7	69.4
6	79.6	76.9	82.3	67.3	65.5	69.1
5	79.6	76.9	82.3	67	65.2	68.9
4	79.5	76.9	82.3	66.7	64.9	68.6
3	79.5	76.9	82.2	66.4	64.5	68.3
2	79.5	76.9	82.2	66	64.1	67.9
1	79.5	76.8	82.2	65.5	63.6	67.4
0	79	76.4	81.8	62.4	60.2	64.6

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 the DR Congo, rising to 83.3 and 78.6 at 65, and to 88.1 and 85.9 at 80 — higher than the 79 and 62.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

DR Congo

Male

Female

1x

Age	Survival probability
	China			DR Congo
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	0.09%	0.04%	0.14%
99	1.33%	0.38%	2.27%	0.15%	0.07%	0.23%
98	2.06%	0.72%	3.42%	0.25%	0.13%	0.37%
97	3.08%	1.24%	4.95%	0.4%	0.21%	0.58%
96	4.43%	2%	6.91%	0.61%	0.34%	0.88%
95	6.17%	3.05%	9.37%	0.92%	0.54%	1.3%
94	8.32%	4.42%	12.3%	1.34%	0.83%	1.85%
93	10.9%	6.13%	15.8%	1.9%	1.24%	2.56%
92	13.7%	8.19%	19.4%	2.62%	1.79%	3.45%
91	16.8%	10.6%	23.3%	3.52%	2.51%	4.53%
90	20.2%	13.3%	27.4%	4.61%	3.42%	5.82%
89	23.8%	16.3%	31.6%	5.92%	4.52%	7.34%
88	27.5%	19.5%	35.8%	7.45%	5.83%	9.1%
87	31.4%	23%	40.2%	9.2%	7.33%	11.1%
86	35.4%	26.6%	44.5%	11.2%	9.03%	13.3%
85	39.4%	30.3%	48.8%	13.3%	10.9%	15.8%
84	43.3%	34.1%	52.9%	15.7%	13%	18.4%
83	47.2%	37.9%	56.8%	18.2%	15.2%	21.2%
82	51%	41.7%	60.5%	20.8%	17.6%	24%
81	54.5%	45.3%	64%	23.5%	20.1%	27%
80	57.8%	48.8%	67.1%	26.3%	22.6%	30%
79	60.9%	52.2%	70%	29.1%	25.3%	33%
78	63.8%	55.3%	72.5%	31.9%	27.9%	35.9%
77	66.5%	58.3%	74.9%	34.6%	30.5%	38.8%
76	69%	61.2%	77%	37.3%	33.2%	41.6%
75	71.3%	63.9%	79%	40%	35.7%	44.4%
74	73.5%	66.4%	80.8%	42.6%	38.3%	47%
73	75.6%	68.9%	82.5%	45.1%	40.8%	49.6%
72	77.5%	71.1%	84%	47.5%	43.1%	52%
71	79.3%	73.3%	85.5%	49.8%	45.4%	54.3%
70	80.9%	75.3%	86.7%	52%	47.6%	56.5%
69	82.4%	77.1%	87.8%	54.1%	49.7%	58.5%
68	83.7%	78.8%	88.8%	56%	51.7%	60.4%
67	84.9%	80.4%	89.6%	57.9%	53.6%	62.2%
66	86.1%	82%	90.5%	59.6%	55.4%	63.9%
65	87.2%	83.4%	91.2%	61.3%	57.2%	65.4%
64	88.3%	84.8%	91.9%	62.8%	58.8%	66.9%
63	89.2%	86%	92.6%	64.3%	60.3%	68.3%
62	90.1%	87.1%	93.1%	65.6%	61.8%	69.5%
61	90.8%	88.1%	93.6%	66.9%	63.2%	70.6%
60	91.5%	89%	94.1%	68%	64.4%	71.7%
59	92.1%	89.8%	94.5%	69.1%	65.6%	72.7%
58	92.6%	90.5%	94.8%	70.1%	66.7%	73.6%
57	93.1%	91.2%	95.1%	71.1%	67.8%	74.5%
56	93.5%	91.8%	95.4%	72%	68.8%	75.3%
55	94%	92.4%	95.7%	72.9%	69.8%	76.1%
54	94.4%	92.9%	95.9%	73.7%	70.7%	76.8%
53	94.8%	93.4%	96.2%	74.5%	71.6%	77.5%
52	95.1%	93.9%	96.4%	75.3%	72.5%	78.2%
51	95.4%	94.3%	96.6%	76%	73.3%	78.9%
50	95.7%	94.7%	96.8%	76.7%	74.1%	79.5%
49	96%	95.1%	97%	77.4%	74.8%	80%
48	96.2%	95.4%	97.1%	78%	75.4%	80.5%
47	96.4%	95.7%	97.3%	78.5%	76.1%	81%
46	96.6%	95.9%	97.4%	79.1%	76.7%	81.5%
45	96.8%	96.1%	97.5%	79.6%	77.3%	82%
44	97%	96.4%	97.6%	80.1%	77.9%	82.5%
43	97.1%	96.6%	97.7%	80.7%	78.4%	82.9%
42	97.3%	96.7%	97.8%	81.2%	79%	83.4%
41	97.4%	96.9%	97.9%	81.6%	79.5%	83.8%
40	97.5%	97%	98%	82.1%	80%	84.2%
39	97.6%	97.2%	98.1%	82.5%	80.5%	84.6%
38	97.7%	97.3%	98.1%	83%	80.9%	85%
37	97.8%	97.4%	98.2%	83.4%	81.4%	85.4%
36	97.9%	97.5%	98.3%	83.8%	81.8%	85.7%
35	97.9%	97.6%	98.3%	84.1%	82.3%	86.1%
34	98%	97.7%	98.4%	84.5%	82.7%	86.4%
33	98.1%	97.8%	98.4%	84.9%	83.1%	86.7%
32	98.2%	97.9%	98.5%	85.3%	83.5%	87.1%
31	98.2%	98%	98.5%	85.6%	83.9%	87.4%
30	98.3%	98%	98.6%	86%	84.4%	87.7%
29	98.4%	98.1%	98.6%	86.4%	84.8%	88%
28	98.4%	98.2%	98.7%	86.7%	85.1%	88.3%
27	98.5%	98.3%	98.7%	87.1%	85.5%	88.6%
26	98.6%	98.4%	98.8%	87.4%	85.9%	88.9%
25	98.6%	98.4%	98.8%	87.7%	86.3%	89.1%
24	98.7%	98.5%	98.9%	88.1%	86.7%	89.4%
23	98.7%	98.6%	98.9%	88.4%	87.1%	89.7%
22	98.8%	98.7%	99%	88.7%	87.5%	89.9%
21	98.8%	98.7%	99%	89%	87.9%	90.2%
20	98.9%	98.8%	99%	89.3%	88.3%	90.4%
19	98.9%	98.8%	99.1%	89.6%	88.6%	90.6%
18	99%	98.9%	99.1%	89.9%	88.9%	90.9%
17	99%	98.9%	99.1%	90.1%	89.2%	91.1%
16	99%	98.9%	99.1%	90.3%	89.5%	91.2%
15	99.1%	99%	99.2%	90.5%	89.7%	91.4%
14	99.1%	99%	99.2%	90.7%	89.9%	91.6%
13	99.1%	99%	99.2%	90.9%	90%	91.7%
12	99.1%	99.1%	99.2%	91.1%	90.2%	91.9%
11	99.2%	99.1%	99.2%	91.2%	90.4%	92.1%
10	99.2%	99.1%	99.3%	91.4%	90.6%	92.2%
9	99.2%	99.2%	99.3%	91.6%	90.9%	92.4%
8	99.3%	99.2%	99.3%	91.9%	91.1%	92.7%
7	99.3%	99.2%	99.3%	92.2%	91.5%	92.9%
6	99.3%	99.3%	99.4%	92.5%	91.8%	93.3%
5	99.3%	99.3%	99.4%	92.9%	92.3%	93.6%
4	99.3%	99.3%	99.4%	93.4%	92.8%	94.1%
3	99.4%	99.3%	99.4%	93.9%	93.3%	94.5%
2	99.4%	99.4%	99.5%	94.6%	94%	95.1%
1	99.5%	99.4%	99.5%	95.3%	94.7%	95.8%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 68% in the DR Congo are expected to live past 60, 80.9% and 52% past 70, 57.8% and 26.3% past 80, and only 20.2% and 4.61% 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

DR Congo

Male

Female

1x

Age	Probability of dying
	China			DR Congo
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	43%	46.5%	42.1%
99	38.1%	51.3%	36.1%	41%	44.6%	40%
98	35.7%	46.6%	33.6%	39.2%	42.6%	38.2%
97	33.1%	42.1%	30.9%	37.3%	40.6%	36.2%
96	30.5%	38.1%	28.4%	35.4%	38.6%	34.1%
95	28.2%	34.3%	26.2%	33.4%	36.7%	32%
94	25.9%	31%	24.1%	31.3%	34.8%	29.8%
93	23.4%	27.9%	21.7%	29.4%	32.9%	27.7%
92	20.8%	25.2%	19%	27.4%	30.8%	25.7%
91	18.5%	22.6%	16.6%	25.6%	28.7%	23.9%
90	16.7%	20.4%	14.9%	23.8%	26.5%	22.2%
89	15.1%	18.4%	13.3%	22.1%	24.4%	20.7%
88	13.6%	16.6%	11.9%	20.5%	22.4%	19.3%
87	12.4%	15%	10.8%	19%	20.5%	18%
86	11.2%	13.6%	9.72%	17.6%	18.8%	16.7%
85	10.1%	12.3%	8.73%	16.2%	17.3%	15.5%
84	9.17%	11.2%	7.82%	15%	15.9%	14.3%
83	8.24%	10.1%	6.95%	13.8%	14.7%	13.1%
82	7.35%	9.03%	6.12%	12.6%	13.5%	12%
81	6.51%	8.06%	5.36%	11.6%	12.4%	10.9%
80	5.75%	7.17%	4.67%	10.5%	11.3%	9.95%
79	5.09%	6.39%	4.07%	9.61%	10.4%	9.03%
78	4.52%	5.71%	3.56%	8.76%	9.47%	8.2%
77	4.03%	5.14%	3.15%	7.99%	8.65%	7.46%
76	3.62%	4.65%	2.8%	7.3%	7.91%	6.79%
75	3.27%	4.23%	2.5%	6.67%	7.24%	6.2%
74	2.98%	3.86%	2.25%	6.1%	6.63%	5.65%
73	2.69%	3.5%	2.02%	5.57%	6.06%	5.15%
72	2.45%	3.19%	1.81%	5.07%	5.54%	4.68%
71	2.26%	2.96%	1.66%	4.62%	5.05%	4.25%
70	2.04%	2.7%	1.47%	4.2%	4.61%	3.85%
69	1.76%	2.36%	1.22%	3.82%	4.21%	3.48%
68	1.58%	2.14%	1.08%	3.48%	3.86%	3.16%
67	1.48%	2.01%	1%	3.18%	3.54%	2.87%
66	1.37%	1.86%	0.91%	2.92%	3.27%	2.61%
65	1.26%	1.72%	0.83%	2.68%	3.02%	2.38%
64	1.17%	1.59%	0.76%	2.46%	2.78%	2.17%
63	1.06%	1.45%	0.69%	2.25%	2.56%	1.98%
62	0.95%	1.3%	0.61%	2.06%	2.35%	1.8%
61	0.83%	1.14%	0.53%	1.88%	2.15%	1.63%
60	0.73%	1%	0.46%	1.71%	1.96%	1.48%
59	0.64%	0.88%	0.41%	1.57%	1.8%	1.35%
58	0.57%	0.78%	0.36%	1.45%	1.67%	1.24%
57	0.52%	0.71%	0.33%	1.35%	1.56%	1.16%
56	0.48%	0.66%	0.31%	1.27%	1.47%	1.09%
55	0.45%	0.62%	0.29%	1.21%	1.4%	1.03%
54	0.43%	0.59%	0.27%	1.15%	1.33%	0.98%
53	0.41%	0.55%	0.26%	1.09%	1.27%	0.92%
52	0.38%	0.51%	0.24%	1.03%	1.2%	0.87%
51	0.34%	0.46%	0.22%	0.96%	1.12%	0.81%
50	0.3%	0.41%	0.19%	0.89%	1.04%	0.75%
49	0.27%	0.36%	0.17%	0.83%	0.96%	0.7%
48	0.24%	0.32%	0.15%	0.77%	0.89%	0.65%
47	0.22%	0.29%	0.14%	0.73%	0.84%	0.62%
46	0.2%	0.26%	0.13%	0.69%	0.8%	0.6%
45	0.18%	0.24%	0.12%	0.67%	0.76%	0.58%
44	0.17%	0.22%	0.11%	0.65%	0.74%	0.57%
43	0.16%	0.21%	0.11%	0.63%	0.71%	0.56%
42	0.14%	0.19%	0.1%	0.61%	0.69%	0.54%
41	0.13%	0.17%	0.09%	0.59%	0.66%	0.52%
40	0.12%	0.15%	0.08%	0.56%	0.63%	0.5%
39	0.1%	0.13%	0.07%	0.54%	0.6%	0.47%
38	0.1%	0.12%	0.07%	0.51%	0.58%	0.45%
37	0.09%	0.11%	0.06%	0.49%	0.56%	0.43%
36	0.08%	0.1%	0.06%	0.47%	0.54%	0.41%
35	0.08%	0.1%	0.06%	0.46%	0.53%	0.4%
34	0.08%	0.1%	0.06%	0.45%	0.52%	0.39%
33	0.08%	0.09%	0.05%	0.44%	0.51%	0.38%
32	0.07%	0.09%	0.05%	0.44%	0.5%	0.37%
31	0.07%	0.09%	0.05%	0.43%	0.49%	0.36%
30	0.07%	0.09%	0.05%	0.42%	0.48%	0.36%
29	0.07%	0.09%	0.05%	0.41%	0.47%	0.35%
28	0.07%	0.08%	0.05%	0.4%	0.47%	0.34%
27	0.07%	0.08%	0.05%	0.4%	0.46%	0.33%
26	0.07%	0.08%	0.05%	0.39%	0.46%	0.32%
25	0.06%	0.08%	0.05%	0.38%	0.46%	0.31%
24	0.06%	0.07%	0.05%	0.38%	0.46%	0.3%
23	0.06%	0.07%	0.04%	0.37%	0.46%	0.29%
22	0.05%	0.07%	0.04%	0.37%	0.45%	0.28%
21	0.05%	0.06%	0.04%	0.35%	0.44%	0.27%
20	0.05%	0.05%	0.03%	0.34%	0.41%	0.26%
19	0.04%	0.05%	0.03%	0.32%	0.38%	0.25%
18	0.04%	0.04%	0.03%	0.29%	0.34%	0.24%
17	0.03%	0.04%	0.03%	0.26%	0.31%	0.22%
16	0.03%	0.04%	0.02%	0.24%	0.27%	0.21%
15	0.03%	0.04%	0.02%	0.22%	0.24%	0.19%
14	0.03%	0.04%	0.02%	0.2%	0.22%	0.18%
13	0.03%	0.04%	0.02%	0.19%	0.21%	0.17%
12	0.03%	0.03%	0.02%	0.19%	0.2%	0.17%
11	0.03%	0.03%	0.02%	0.19%	0.21%	0.18%
10	0.03%	0.03%	0.02%	0.21%	0.23%	0.19%
9	0.03%	0.03%	0.02%	0.24%	0.26%	0.22%
8	0.03%	0.03%	0.02%	0.28%	0.3%	0.25%
7	0.02%	0.03%	0.02%	0.32%	0.35%	0.29%
6	0.02%	0.02%	0.02%	0.37%	0.41%	0.34%
5	0.02%	0.02%	0.02%	0.43%	0.47%	0.4%
4	0.02%	0.02%	0.03%	0.5%	0.54%	0.46%
3	0.03%	0.03%	0.03%	0.57%	0.61%	0.52%
2	0.04%	0.04%	0.04%	0.65%	0.69%	0.6%
1	0.05%	0.05%	0.05%	0.74%	0.79%	0.69%
0	0.54%	0.59%	0.49%	4.74%	5.25%	4.22%

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

The annual chance of dying is 0.54% in the birth year in China and 4.74% in the DR Congo, 0.07% vs 0.42% at age 30, 0.73% vs 1.71% at 60, and 5.75% vs 10.5% at 80.

Death rate by age in China vs DR Congo

Chart Table

China

Male

Female

DR Congo

Male

Female

1x

Age	Death rate
	China			DR Congo
	Total	Male	Female	Total	Male	Female
100	145	0	355	0	0	0
99	505	196.9	819	62	32	91.8
98	735	334	1,147	97.5	53.2	141.6
97	1,018	523	1,530	148	85.4	210.7
96	1,350	762	1,962	216.9	132.6	302
95	1,738	1,046	2,458	307	199.2	415
94	2,153	1,368	2,972	420	289.7	552
93	2,544	1,713	3,413	557	407	709
92	2,856	2,061	3,693	718	552	886
91	3,108	2,396	3,865	900	721	1,082
90	3,366	2,708	4,066	1,099	907	1,294
89	3,582	2,988	4,200	1,310	1,104	1,520
88	3,745	3,232	4,268	1,528	1,304	1,756
87	3,880	3,440	4,326	1,746	1,503	1,994
86	3,965	3,608	4,325	1,959	1,699	2,225
85	3,995	3,731	4,256	2,160	1,888	2,438
84	3,972	3,803	4,134	2,342	2,067	2,625
83	3,891	3,816	3,953	2,499	2,231	2,776
82	3,745	3,764	3,707	2,625	2,371	2,886
81	3,550	3,655	3,426	2,716	2,484	2,954
80	3,328	3,503	3,132	2,771	2,565	2,983
79	3,103	3,332	2,846	2,794	2,617	2,977
78	2,884	3,160	2,586	2,791	2,641	2,945
77	2,680	2,998	2,356	2,766	2,642	2,893
76	2,497	2,846	2,155	2,724	2,624	2,827
75	2,336	2,704	1,979	2,669	2,589	2,749
74	2,190	2,566	1,823	2,597	2,537	2,657
73	2,034	2,410	1,665	2,511	2,470	2,552
72	1,895	2,269	1,525	2,412	2,389	2,435
71	1,792	2,168	1,415	2,302	2,296	2,307
70	1,654	2,034	1,272	2,185	2,196	2,173
69	1,448	1,822	1,069	2,067	2,094	2,038
68	1,325	1,689	956	1,952	1,995	1,907
67	1,260	1,614	898	1,843	1,901	1,784
66	1,179	1,527	825	1,741	1,811	1,668
65	1,103	1,438	761	1,642	1,725	1,559
64	1,030	1,348	703	1,545	1,637	1,452
63	946	1,247	635	1,448	1,546	1,349
62	853	1,133	564	1,350	1,452	1,248
61	757	1,009	498	1,254	1,356	1,151
60	668	892	436	1,164	1,265	1,061
59	590	791	383	1,082	1,181	982
58	527	706	342	1,014	1,111	915
57	482	645	313	959	1,055	862
56	451	603	292	916	1,011	819
55	427	572	276.5	881	976	784
54	408	546	263.3	848	943	751
53	387	518	249.2	813	907	717
52	360	482	231.3	774	866	680
51	327	438	210	729	818	639
50	290.9	390	187.2	683	768	597
49	257.4	344	166.1	639	718	559
48	229.6	306	149.2	602	674	527
47	208.9	276.7	137.2	572	638	503
46	192.8	253.9	128.1	550	611	487
45	178.6	234	119.7	534	590	476
44	165.2	215.7	111.4	522	573	469
43	152.2	198	103.3	510	558	461
42	139.1	180	95.4	496	541	450
41	126	161.9	87.5	480	523	436
40	113.4	144.6	79.7	461	503	418
39	102.3	129.3	72.9	442	484	398
38	93	116.7	67.2	424	466	380
37	86	107.2	62.7	408	452	363
36	81	100.6	59.2	396	441	350
35	77.6	96.3	56.7	388	434	340
34	75.4	93.5	55	381	428	333
33	73.9	91.7	53.8	376	423	328
32	72.9	90.3	53	371	418	323
31	71.6	88.7	51.9	366	412	319
30	70	86.7	50.7	361	407	313
29	68.3	84.6	49.4	355	401	307
28	67	82.9	48.7	350	398	299.9
27	65.8	81	48.1	345	397	291.6
26	64.1	78.3	47.4	341	398	282.8
25	62.2	75.4	46.7	338	400	273.8
24	60.3	72.7	45.8	335	403	265.4
23	57.6	69	44.1	331	402	258
22	53.9	64.4	41.5	325	397	251.5
21	49.4	59.1	38.1	315	384	245.4
20	44.8	53.7	34.3	302	364	238.6
19	40.4	48.5	30.8	283.9	337	229.9
18	36.6	44.2	27.6	262.3	306	218.4
17	33.6	40.9	25	238.7	272.7	204.2
16	31.4	38.5	23.1	215.6	241.9	188.8
15	30	36.9	21.9	195	215.6	174.2
14	29.2	35.9	21.3	179.5	196.1	162.6
13	28.7	35.2	21.2	170.6	184.9	156
12	28.2	34.1	21.3	169.3	182.8	155.5
11	27.5	32.7	21.6	176.5	190.4	162.3
10	27.6	32	22.6	192.5	207.9	176.9
9	27.6	31.1	23.5	218	235.8	199.9
8	26.3	28.8	23.3	252.8	273.8	231.4
7	24.2	25.8	22.4	296.1	321	270.8
6	22.5	23.1	21.8	347	376	317
5	22.3	22.3	22.4	404	436	370
4	24.6	24.2	25	466	502	429
3	29.6	29.3	29.9	534	573	494
2	36.1	35.9	36.3	612	653	570
1	45.9	46.8	44.9	706	750	662
0	540	585	490	4,741	5,250	4,223

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 the DR Congo. The median age of death is 82.3 in China and 70.9 in the DR 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 DR Congo more than their death rates.

Life expectancy in other countries

+ -

1x