Life Expectancy in China vs Rwanda (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Rwanda

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Rwanda
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	102	101.9	102
99	101	100.6	101.1	101.1	101	101.1
98	100.1	99.6	100.2	100.2	100.2	100.2
97	99.3	98.7	99.4	99.3	99.3	99.3
96	98.4	97.9	98.6	98.4	98.4	98.4
95	97.6	97.1	97.8	97.6	97.5	97.6
94	96.8	96.3	97	96.7	96.7	96.7
93	96	95.5	96.2	95.9	95.8	95.9
92	95.3	94.7	95.5	95	95	95.1
91	94.6	94	94.9	94.2	94.1	94.3
90	93.9	93.3	94.2	93.4	93.3	93.5
89	93.2	92.6	93.6	92.6	92.5	92.7
88	92.6	91.9	93	91.9	91.7	91.9
87	92	91.3	92.4	91.1	90.9	91.2
86	91.4	90.6	91.8	90.3	90.2	90.4
85	90.8	90	91.3	89.6	89.4	89.7
84	90.2	89.4	90.7	88.9	88.7	89
83	89.6	88.8	90.2	88.2	88	88.4
82	89.1	88.2	89.8	87.6	87.3	87.7
81	88.6	87.7	89.3	86.9	86.6	87.1
80	88.1	87.2	88.9	86.3	86	86.5
79	87.7	86.7	88.5	85.7	85.3	85.9
78	87.3	86.2	88.2	85.1	84.7	85.3
77	86.9	85.8	87.8	84.5	84.1	84.8
76	86.5	85.3	87.5	84	83.5	84.3
75	86.2	84.9	87.2	83.4	82.9	83.7
74	85.8	84.5	86.9	82.9	82.4	83.3
73	85.5	84.1	86.7	82.4	81.8	82.8
72	85.2	83.7	86.4	81.9	81.3	82.3
71	84.9	83.4	86.1	81.5	80.8	81.9
70	84.6	83	85.9	81	80.3	81.5
69	84.3	82.7	85.7	80.6	79.9	81.1
68	84	82.4	85.5	80.2	79.4	80.8
67	83.8	82.1	85.4	79.8	79	80.4
66	83.6	81.8	85.2	79.4	78.6	80.1
65	83.3	81.5	85	79.1	78.1	79.7
64	83.1	81.3	84.9	78.7	77.8	79.4
63	82.9	81	84.7	78.4	77.4	79.1
62	82.7	80.8	84.6	78.1	77	78.9
61	82.5	80.6	84.5	77.7	76.6	78.6
60	82.4	80.4	84.3	77.4	76.3	78.3
59	82.2	80.2	84.2	77.2	76	78.1
58	82.1	80	84.2	76.9	75.7	77.9
57	82	79.8	84.1	76.6	75.4	77.6
56	81.8	79.7	84	76.4	75.1	77.4
55	81.7	79.5	83.9	76.1	74.8	77.2
54	81.6	79.4	83.8	75.9	74.5	77
53	81.5	79.2	83.7	75.7	74.3	76.8
52	81.4	79.1	83.7	75.4	74	76.6
51	81.3	79	83.6	75.2	73.8	76.4
50	81.2	78.9	83.5	75	73.5	76.3
49	81.1	78.8	83.5	74.8	73.3	76.1
48	81	78.7	83.4	74.6	73.1	75.9
47	81	78.6	83.4	74.5	72.9	75.8
46	80.9	78.5	83.3	74.3	72.7	75.7
45	80.8	78.4	83.3	74.1	72.5	75.5
44	80.8	78.3	83.2	74	72.3	75.4
43	80.7	78.3	83.2	73.8	72.1	75.3
42	80.6	78.2	83.1	73.7	72	75.1
41	80.6	78.1	83.1	73.5	71.8	75
40	80.5	78.1	83.1	73.4	71.6	74.9
39	80.5	78	83	73.3	71.5	74.8
38	80.5	78	83	73.1	71.3	74.7
37	80.4	77.9	83	73	71.2	74.6
36	80.4	77.9	83	72.9	71.1	74.5
35	80.4	77.8	82.9	72.8	70.9	74.4
34	80.3	77.8	82.9	72.7	70.8	74.3
33	80.3	77.8	82.9	72.6	70.7	74.2
32	80.2	77.7	82.8	72.5	70.6	74.2
31	80.2	77.7	82.8	72.4	70.5	74.1
30	80.2	77.6	82.8	72.3	70.3	74
29	80.1	77.6	82.8	72.2	70.2	73.9
28	80.1	77.6	82.7	72.1	70.1	73.9
27	80.1	77.5	82.7	72	70	73.8
26	80	77.5	82.7	71.9	69.9	73.7
25	80	77.4	82.7	71.9	69.8	73.7
24	80	77.4	82.6	71.8	69.7	73.6
23	79.9	77.4	82.6	71.7	69.6	73.5
22	79.9	77.3	82.6	71.6	69.5	73.5
21	79.9	77.3	82.6	71.5	69.4	73.4
20	79.8	77.3	82.5	71.5	69.3	73.4
19	79.8	77.2	82.5	71.4	69.3	73.3
18	79.8	77.2	82.5	71.3	69.2	73.3
17	79.8	77.2	82.5	71.3	69.1	73.2
16	79.8	77.2	82.5	71.2	69.1	73.2
15	79.7	77.1	82.4	71.2	69	73.1
14	79.7	77.1	82.4	71.1	69	73.1
13	79.7	77.1	82.4	71.1	68.9	73.1
12	79.7	77.1	82.4	71.1	68.9	73
11	79.7	77	82.4	71	68.9	73
10	79.6	77	82.4	71	68.8	73
9	79.6	77	82.4	71	68.8	73
8	79.6	77	82.3	70.9	68.7	72.9
7	79.6	77	82.3	70.9	68.7	72.9
6	79.6	76.9	82.3	70.8	68.6	72.8
5	79.6	76.9	82.3	70.8	68.6	72.8
4	79.5	76.9	82.3	70.7	68.5	72.7
3	79.5	76.9	82.2	70.6	68.4	72.6
2	79.5	76.9	82.2	70.4	68.2	72.4
1	79.5	76.8	82.2	70.2	68	72.2
0	79	76.4	81.8	68.5	66.1	70.6

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 72.3 in Rwanda, rising to 83.3 and 79.1 at 65, and to 88.1 and 86.3 at 80 — higher than the 79 and 68.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

Rwanda

Male

Female

1x

Age	Survival probability
	China			Rwanda
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	0.2%	0.14%	0.26%
99	1.33%	0.38%	2.27%	0.32%	0.22%	0.41%
98	2.06%	0.72%	3.42%	0.49%	0.34%	0.63%
97	3.08%	1.24%	4.95%	0.74%	0.5%	0.94%
96	4.43%	2%	6.91%	1.07%	0.74%	1.36%
95	6.17%	3.05%	9.37%	1.53%	1.06%	1.93%
94	8.32%	4.42%	12.3%	2.12%	1.49%	2.67%
93	10.9%	6.13%	15.8%	2.88%	2.04%	3.6%
92	13.7%	8.19%	19.4%	3.82%	2.73%	4.75%
91	16.8%	10.6%	23.3%	4.96%	3.59%	6.13%
90	20.2%	13.3%	27.4%	6.34%	4.63%	7.79%
89	23.8%	16.3%	31.6%	7.93%	5.87%	9.69%
88	27.5%	19.5%	35.8%	9.77%	7.31%	11.9%
87	31.4%	23%	40.2%	11.8%	8.96%	14.3%
86	35.4%	26.6%	44.5%	14.1%	10.8%	16.9%
85	39.4%	30.3%	48.8%	16.6%	12.9%	19.8%
84	43.3%	34.1%	52.9%	19.3%	15.1%	22.8%
83	47.2%	37.9%	56.8%	22%	17.5%	26%
82	51%	41.7%	60.5%	24.9%	20.1%	29.2%
81	54.5%	45.3%	64%	27.9%	22.7%	32.5%
80	57.8%	48.8%	67.1%	30.9%	25.5%	35.8%
79	60.9%	52.2%	70%	33.9%	28.3%	39%
78	63.8%	55.3%	72.5%	37%	31.1%	42.3%
77	66.5%	58.3%	74.9%	40%	34%	45.4%
76	69%	61.2%	77%	43%	36.8%	48.5%
75	71.3%	63.9%	79%	45.9%	39.6%	51.5%
74	73.5%	66.4%	80.8%	48.7%	42.4%	54.4%
73	75.6%	68.9%	82.5%	51.4%	45.2%	57.1%
72	77.5%	71.1%	84%	54.1%	47.8%	59.7%
71	79.3%	73.3%	85.5%	56.6%	50.4%	62.1%
70	80.9%	75.3%	86.7%	59%	52.9%	64.5%
69	82.4%	77.1%	87.8%	61.2%	55.3%	66.6%
68	83.7%	78.8%	88.8%	63.3%	57.6%	68.6%
67	84.9%	80.4%	89.6%	65.3%	59.7%	70.5%
66	86.1%	82%	90.5%	67.3%	61.8%	72.2%
65	87.2%	83.4%	91.2%	69.1%	63.8%	73.9%
64	88.3%	84.8%	91.9%	70.8%	65.7%	75.4%
63	89.2%	86%	92.6%	72.4%	67.6%	76.8%
62	90.1%	87.1%	93.1%	73.9%	69.3%	78.2%
61	90.8%	88.1%	93.6%	75.3%	70.9%	79.4%
60	91.5%	89%	94.1%	76.6%	72.4%	80.5%
59	92.1%	89.8%	94.5%	77.9%	73.8%	81.6%
58	92.6%	90.5%	94.8%	79%	75.2%	82.6%
57	93.1%	91.2%	95.1%	80.1%	76.5%	83.5%
56	93.5%	91.8%	95.4%	81.1%	77.7%	84.4%
55	94%	92.4%	95.7%	82.1%	78.8%	85.2%
54	94.4%	92.9%	95.9%	83%	79.9%	85.9%
53	94.8%	93.4%	96.2%	83.8%	80.9%	86.6%
52	95.1%	93.9%	96.4%	84.6%	81.9%	87.3%
51	95.4%	94.3%	96.6%	85.4%	82.8%	87.9%
50	95.7%	94.7%	96.8%	86.1%	83.6%	88.5%
49	96%	95.1%	97%	86.8%	84.4%	89.1%
48	96.2%	95.4%	97.1%	87.4%	85.1%	89.6%
47	96.4%	95.7%	97.3%	88%	85.8%	90.1%
46	96.6%	95.9%	97.4%	88.5%	86.5%	90.5%
45	96.8%	96.1%	97.5%	89%	87.1%	90.9%
44	97%	96.4%	97.6%	89.5%	87.7%	91.3%
43	97.1%	96.6%	97.7%	89.9%	88.2%	91.7%
42	97.3%	96.7%	97.8%	90.4%	88.7%	92%
41	97.4%	96.9%	97.9%	90.8%	89.2%	92.3%
40	97.5%	97%	98%	91.1%	89.6%	92.6%
39	97.6%	97.2%	98.1%	91.5%	90.1%	92.9%
38	97.7%	97.3%	98.1%	91.8%	90.5%	93.2%
37	97.8%	97.4%	98.2%	92.1%	90.8%	93.4%
36	97.9%	97.5%	98.3%	92.4%	91.2%	93.7%
35	97.9%	97.6%	98.3%	92.7%	91.5%	93.9%
34	98%	97.7%	98.4%	93%	91.8%	94.1%
33	98.1%	97.8%	98.4%	93.2%	92.1%	94.3%
32	98.2%	97.9%	98.5%	93.5%	92.4%	94.5%
31	98.2%	98%	98.5%	93.7%	92.7%	94.6%
30	98.3%	98%	98.6%	93.9%	93%	94.8%
29	98.4%	98.1%	98.6%	94.1%	93.2%	95%
28	98.4%	98.2%	98.7%	94.3%	93.4%	95.1%
27	98.5%	98.3%	98.7%	94.5%	93.7%	95.3%
26	98.6%	98.4%	98.8%	94.6%	93.9%	95.4%
25	98.6%	98.4%	98.8%	94.8%	94.1%	95.5%
24	98.7%	98.5%	98.9%	95%	94.3%	95.6%
23	98.7%	98.6%	98.9%	95.1%	94.5%	95.8%
22	98.8%	98.7%	99%	95.3%	94.7%	95.9%
21	98.8%	98.7%	99%	95.4%	94.9%	96%
20	98.9%	98.8%	99%	95.6%	95.1%	96.1%
19	98.9%	98.8%	99.1%	95.7%	95.2%	96.2%
18	99%	98.9%	99.1%	95.8%	95.4%	96.3%
17	99%	98.9%	99.1%	95.9%	95.5%	96.3%
16	99%	98.9%	99.1%	96%	95.6%	96.4%
15	99.1%	99%	99.2%	96.1%	95.7%	96.5%
14	99.1%	99%	99.2%	96.1%	95.8%	96.5%
13	99.1%	99%	99.2%	96.2%	95.8%	96.6%
12	99.1%	99.1%	99.2%	96.2%	95.9%	96.6%
11	99.2%	99.1%	99.2%	96.3%	95.9%	96.7%
10	99.2%	99.1%	99.3%	96.4%	96%	96.7%
9	99.2%	99.2%	99.3%	96.4%	96.1%	96.8%
8	99.3%	99.2%	99.3%	96.5%	96.1%	96.8%
7	99.3%	99.2%	99.3%	96.5%	96.2%	96.9%
6	99.3%	99.3%	99.4%	96.6%	96.3%	96.9%
5	99.3%	99.3%	99.4%	96.7%	96.4%	97%
4	99.3%	99.3%	99.4%	96.8%	96.5%	97.1%
3	99.4%	99.3%	99.4%	97%	96.7%	97.3%
2	99.4%	99.4%	99.5%	97.2%	96.9%	97.5%
1	99.5%	99.4%	99.5%	97.5%	97.3%	97.8%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 76.6% in Rwanda are expected to live past 60, 80.9% and 59% past 70, 57.8% and 30.9% past 80, and only 20.2% and 6.34% 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

Rwanda

Male

Female

1x

Age	Probability of dying
	China			Rwanda
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	38.1%	38%	38.1%
99	38.1%	51.3%	36.1%	36.5%	36.5%	36.5%
98	35.7%	46.6%	33.6%	34.6%	34.7%	34.5%
97	33.1%	42.1%	30.9%	33%	33.3%	32.9%
96	30.5%	38.1%	28.4%	31.4%	31.8%	31.2%
95	28.2%	34.3%	26.2%	29.8%	30.3%	29.5%
94	25.9%	31%	24.1%	28%	28.6%	27.6%
93	23.4%	27.9%	21.7%	26.3%	27%	25.9%
92	20.8%	25.2%	19%	24.7%	25.5%	24.3%
91	18.5%	22.6%	16.6%	22.9%	23.8%	22.5%
90	16.7%	20.4%	14.9%	21.7%	22.6%	21.3%
89	15.1%	18.4%	13.3%	20.1%	21%	19.6%
88	13.6%	16.6%	11.9%	18.8%	19.7%	18.3%
87	12.4%	15%	10.8%	17.4%	18.4%	16.9%
86	11.2%	13.6%	9.72%	16.2%	17.2%	15.7%
85	10.1%	12.3%	8.73%	14.9%	16%	14.4%
84	9.17%	11.2%	7.82%	13.8%	14.9%	13.3%
83	8.24%	10.1%	6.95%	12.6%	13.7%	12.1%
82	7.35%	9.03%	6.12%	11.6%	12.7%	11.1%
81	6.51%	8.06%	5.36%	10.5%	11.6%	9.99%
80	5.75%	7.17%	4.67%	9.83%	10.8%	9.28%
79	5.09%	6.39%	4.07%	8.93%	9.89%	8.37%
78	4.52%	5.71%	3.56%	8.25%	9.16%	7.69%
77	4.03%	5.14%	3.15%	7.51%	8.39%	6.95%
76	3.62%	4.65%	2.8%	6.92%	7.76%	6.37%
75	3.27%	4.23%	2.5%	6.35%	7.15%	5.81%
74	2.98%	3.86%	2.25%	5.8%	6.58%	5.27%
73	2.69%	3.5%	2.02%	5.3%	6.05%	4.78%
72	2.45%	3.19%	1.81%	4.86%	5.58%	4.35%
71	2.26%	2.96%	1.66%	4.38%	5.07%	3.89%
70	2.04%	2.7%	1.47%	4.07%	4.72%	3.59%
69	1.76%	2.36%	1.22%	3.67%	4.3%	3.2%
68	1.58%	2.14%	1.08%	3.37%	3.97%	2.93%
67	1.48%	2.01%	1%	3.08%	3.66%	2.65%
66	1.37%	1.86%	0.91%	2.83%	3.38%	2.42%
65	1.26%	1.72%	0.83%	2.62%	3.14%	2.23%
64	1.17%	1.59%	0.76%	2.41%	2.9%	2.03%
63	1.06%	1.45%	0.69%	2.22%	2.68%	1.86%
62	0.95%	1.3%	0.61%	2.05%	2.48%	1.7%
61	0.83%	1.14%	0.53%	1.86%	2.27%	1.54%
60	0.73%	1%	0.46%	1.74%	2.12%	1.44%
59	0.64%	0.88%	0.41%	1.58%	1.94%	1.3%
58	0.57%	0.78%	0.36%	1.47%	1.79%	1.2%
57	0.52%	0.71%	0.33%	1.35%	1.66%	1.1%
56	0.48%	0.66%	0.31%	1.26%	1.55%	1.02%
55	0.45%	0.62%	0.29%	1.17%	1.44%	0.95%
54	0.43%	0.59%	0.27%	1.09%	1.35%	0.89%
53	0.41%	0.55%	0.26%	1.02%	1.26%	0.82%
52	0.38%	0.51%	0.24%	0.95%	1.17%	0.77%
51	0.34%	0.46%	0.22%	0.87%	1.08%	0.71%
50	0.3%	0.41%	0.19%	0.83%	1.02%	0.67%
49	0.27%	0.36%	0.17%	0.76%	0.94%	0.61%
48	0.24%	0.32%	0.15%	0.71%	0.87%	0.57%
47	0.22%	0.29%	0.14%	0.66%	0.81%	0.52%
46	0.2%	0.26%	0.13%	0.61%	0.75%	0.49%
45	0.18%	0.24%	0.12%	0.57%	0.7%	0.46%
44	0.17%	0.22%	0.11%	0.53%	0.65%	0.42%
43	0.16%	0.21%	0.11%	0.5%	0.61%	0.4%
42	0.14%	0.19%	0.1%	0.47%	0.57%	0.38%
41	0.13%	0.17%	0.09%	0.44%	0.53%	0.35%
40	0.12%	0.15%	0.08%	0.41%	0.5%	0.33%
39	0.1%	0.13%	0.07%	0.39%	0.47%	0.31%
38	0.1%	0.12%	0.07%	0.36%	0.44%	0.29%
37	0.09%	0.11%	0.06%	0.34%	0.41%	0.27%
36	0.08%	0.1%	0.06%	0.32%	0.39%	0.25%
35	0.08%	0.1%	0.06%	0.3%	0.37%	0.24%
34	0.08%	0.1%	0.06%	0.28%	0.34%	0.22%
33	0.08%	0.09%	0.05%	0.26%	0.32%	0.21%
32	0.07%	0.09%	0.05%	0.25%	0.31%	0.19%
31	0.07%	0.09%	0.05%	0.24%	0.29%	0.18%
30	0.07%	0.09%	0.05%	0.23%	0.28%	0.17%
29	0.07%	0.09%	0.05%	0.21%	0.26%	0.16%
28	0.07%	0.08%	0.05%	0.2%	0.25%	0.16%
27	0.07%	0.08%	0.05%	0.19%	0.24%	0.15%
26	0.07%	0.08%	0.05%	0.19%	0.23%	0.14%
25	0.06%	0.08%	0.05%	0.18%	0.23%	0.13%
24	0.06%	0.07%	0.05%	0.17%	0.22%	0.13%
23	0.06%	0.07%	0.04%	0.17%	0.21%	0.12%
22	0.05%	0.07%	0.04%	0.16%	0.2%	0.11%
21	0.05%	0.06%	0.04%	0.15%	0.19%	0.11%
20	0.05%	0.05%	0.03%	0.14%	0.18%	0.1%
19	0.04%	0.05%	0.03%	0.13%	0.17%	0.1%
18	0.04%	0.04%	0.03%	0.12%	0.15%	0.09%
17	0.03%	0.04%	0.03%	0.11%	0.13%	0.08%
16	0.03%	0.04%	0.02%	0.09%	0.11%	0.07%
15	0.03%	0.04%	0.02%	0.08%	0.09%	0.07%
14	0.03%	0.04%	0.02%	0.07%	0.08%	0.06%
13	0.03%	0.04%	0.02%	0.06%	0.07%	0.05%
12	0.03%	0.03%	0.02%	0.06%	0.06%	0.05%
11	0.03%	0.03%	0.02%	0.05%	0.06%	0.05%
10	0.03%	0.03%	0.02%	0.05%	0.06%	0.05%
9	0.03%	0.03%	0.02%	0.06%	0.06%	0.05%
8	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
7	0.02%	0.03%	0.02%	0.07%	0.08%	0.06%
6	0.02%	0.02%	0.02%	0.08%	0.08%	0.07%
5	0.02%	0.02%	0.02%	0.09%	0.1%	0.08%
4	0.02%	0.02%	0.03%	0.12%	0.13%	0.11%
3	0.03%	0.03%	0.03%	0.16%	0.17%	0.15%
2	0.04%	0.04%	0.04%	0.23%	0.24%	0.21%
1	0.05%	0.05%	0.05%	0.36%	0.38%	0.35%
0	0.54%	0.59%	0.49%	2.46%	2.74%	2.18%

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

The annual chance of dying is 0.54% in the birth year in China and 2.46% in Rwanda, 0.07% vs 0.23% at age 30, 0.73% vs 1.74% at 60, and 5.75% vs 9.83% at 80.

Death rate by age in China vs Rwanda

Chart Table

China

Male

Female

Rwanda

Male

Female

1x

Age	Death rate
	China			Rwanda
	Total	Male	Female	Total	Male	Female
100	145	0	355	12.4	4.19	20.1
99	505	196.9	819	117.8	80.2	150.3
98	735	334	1,147	170.6	116.8	216.8
97	1,018	523	1,530	243.4	168	308
96	1,350	762	1,962	338	235.5	425
95	1,738	1,046	2,458	455	321	569
94	2,153	1,368	2,972	594	426	737
93	2,544	1,713	3,413	757	551	932
92	2,856	2,061	3,693	943	696	1,153
91	3,108	2,396	3,865	1,139	855	1,379
90	3,366	2,708	4,066	1,376	1,045	1,657
89	3,582	2,988	4,200	1,594	1,235	1,901
88	3,745	3,232	4,268	1,832	1,442	2,167
87	3,880	3,440	4,326	2,061	1,651	2,417
86	3,965	3,608	4,325	2,286	1,861	2,659
85	3,995	3,731	4,256	2,479	2,057	2,856
84	3,972	3,803	4,134	2,659	2,248	3,033
83	3,891	3,816	3,953	2,787	2,403	3,147
82	3,745	3,764	3,707	2,899	2,545	3,239
81	3,550	3,655	3,426	2,940	2,633	3,242
80	3,328	3,503	3,132	3,039	2,752	3,321
79	3,103	3,332	2,846	3,033	2,795	3,268
78	2,884	3,160	2,586	3,051	2,848	3,251
77	2,680	2,998	2,356	3,005	2,850	3,159
76	2,497	2,846	2,155	2,973	2,855	3,091
75	2,336	2,704	1,979	2,914	2,836	2,993
74	2,190	2,566	1,823	2,827	2,792	2,868
73	2,034	2,410	1,665	2,727	2,734	2,729
72	1,895	2,269	1,525	2,628	2,667	2,600
71	1,792	2,168	1,415	2,479	2,557	2,416
70	1,654	2,034	1,272	2,398	2,496	2,317
69	1,448	1,822	1,069	2,245	2,379	2,133
68	1,325	1,689	956	2,136	2,287	2,008
67	1,260	1,614	898	2,015	2,187	1,870
66	1,179	1,527	825	1,903	2,088	1,745
65	1,103	1,438	761	1,812	2,007	1,646
64	1,030	1,348	703	1,704	1,907	1,531
63	946	1,247	635	1,605	1,812	1,426
62	853	1,133	564	1,512	1,719	1,331
61	757	1,009	498	1,403	1,609	1,221
60	668	892	436	1,335	1,536	1,156
59	590	791	383	1,233	1,430	1,057
58	527	706	342	1,160	1,350	989
57	482	645	313	1,084	1,269	919
56	451	603	292	1,022	1,202	864
55	427	572	276.5	961	1,137	809
54	408	546	263.3	906	1,077	762
53	387	518	249.2	851	1,016	714
52	360	482	231.3	804	961	675
51	327	438	210	747	897	622
50	290.9	390	187.2	711	852	591
49	257.4	344	166.1	660	791	544
48	229.6	306	149.2	619	741	508
47	208.9	276.7	137.2	578	692	472
46	192.8	253.9	128.1	542	648	441
45	178.6	234	119.7	512	612	416
44	165.2	215.7	111.4	478	571	388
43	152.2	198	103.3	450	538	365
42	139.1	180	95.4	426	508	345
41	126	161.9	87.5	397	475	320
40	113.4	144.6	79.7	378	453	305
39	102.3	129.3	72.9	353	423	283.7
38	93	116.7	67.2	333	400	267
37	86	107.2	62.7	312	376	248.8
36	81	100.6	59.2	294.1	355	234.7
35	77.6	96.3	56.7	277.9	336	220.8
34	75.4	93.5	55	261.2	317	206.4
33	73.9	91.7	53.8	246.8	299.3	194.5
32	72.9	90.3	53	234.1	284.5	183.7
31	71.6	88.7	51.9	220.2	268.9	171.6
30	70	86.7	50.7	211.9	258.9	165.2
29	68.3	84.6	49.4	200.8	246.4	155.9
28	67	82.9	48.7	191.7	236.6	148
27	65.8	81	48.1	183.4	227.7	140.7
26	64.1	78.3	47.4	175.9	219.8	133.7
25	62.2	75.4	46.7	169.3	213.2	127
24	60.3	72.7	45.8	163.3	206.4	121.4
23	57.6	69	44.1	157.2	199.7	115.5
22	53.9	64.4	41.5	150.7	191.9	110
21	49.4	59.1	38.1	143.4	182.4	104.5
20	44.8	53.7	34.3	135.9	171.6	100.2
19	40.4	48.5	30.8	126.7	159.1	94.2
18	36.6	44.2	27.6	116.4	144.9	87.7
17	33.6	40.9	25	102.2	124.4	79.9
16	31.4	38.5	23.1	89	105.5	72.3
15	30	36.9	21.9	76.4	88.5	64.1
14	29.2	35.9	21.3	66.1	75.7	56.4
13	28.7	35.2	21.2	58.8	66.6	51
12	28.2	34.1	21.3	54.4	61.5	47.2
11	27.5	32.7	21.6	52.4	59.2	45.6
10	27.6	32	22.6	52.4	58.7	46.1
9	27.6	31.1	23.5	54.5	60.8	48.1
8	26.3	28.8	23.3	58.9	65.5	52.2
7	24.2	25.8	22.4	65.9	72.7	58.9
6	22.5	23.1	21.8	74.8	81.5	68
5	22.3	22.3	22.4	88.5	95.1	81.7
4	24.6	24.2	25	113.9	122.1	105.6
3	29.6	29.3	29.9	154.2	164.8	143.3
2	36.1	35.9	36.3	220.4	233.4	207
1	45.9	46.8	44.9	354	368	339
0	540	585	490	2,463	2,740	2,181

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 Rwanda. The median age of death is 82.3 in China and 73.5 in Rwanda, 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 Rwanda more than their death rates.

Life expectancy in other countries

+ -

1x