Life Expectancy in Burundi vs China (1950-2026)

Life expectancy by current age

Chart Table

Burundi

Male

Female

China

Male

Female

1x

Current age, years	Total life expectancy, years
	Burundi			China
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.8	102	101.7	102
99	100.9	100.7	100.9	101	100.6	101.1
98	99.9	99.8	100	100.1	99.6	100.2
97	99	98.8	99.1	99.3	98.7	99.4
96	98.1	97.9	98.2	98.4	97.9	98.6
95	97.3	97	97.3	97.6	97.1	97.8
94	96.4	96.2	96.5	96.8	96.3	97
93	95.6	95.3	95.7	96	95.5	96.2
92	94.7	94.4	94.9	95.3	94.7	95.5
91	93.9	93.6	94.1	94.6	94	94.9
90	93.1	92.8	93.3	93.9	93.3	94.2
89	92.3	92	92.5	93.2	92.6	93.6
88	91.5	91.2	91.7	92.6	91.9	93
87	90.8	90.4	91	92	91.3	92.4
86	90	89.7	90.2	91.4	90.6	91.8
85	89.3	89	89.5	90.8	90	91.3
84	88.6	88.3	88.8	90.2	89.4	90.7
83	87.9	87.6	88.1	89.6	88.8	90.2
82	87.2	86.9	87.4	89.1	88.2	89.8
81	86.6	86.2	86.8	88.6	87.7	89.3
80	85.9	85.6	86.2	88.1	87.2	88.9
79	85.3	84.9	85.6	87.7	86.7	88.5
78	84.7	84.3	85	87.3	86.2	88.2
77	84.1	83.7	84.4	86.9	85.8	87.8
76	83.6	83.2	83.9	86.5	85.3	87.5
75	83.1	82.6	83.4	86.2	84.9	87.2
74	82.5	82.1	82.9	85.8	84.5	86.9
73	82	81.6	82.4	85.5	84.1	86.7
72	81.6	81.1	81.9	85.2	83.7	86.4
71	81.1	80.6	81.5	84.9	83.4	86.1
70	80.7	80.1	81.1	84.6	83	85.9
69	80.2	79.7	80.7	84.3	82.7	85.7
68	79.8	79.2	80.3	84	82.4	85.5
67	79.4	78.8	79.9	83.8	82.1	85.4
66	79.1	78.4	79.6	83.6	81.8	85.2
65	78.7	78	79.3	83.3	81.5	85
64	78.3	77.6	78.9	83.1	81.3	84.9
63	78	77.3	78.6	82.9	81	84.7
62	77.7	76.9	78.3	82.7	80.8	84.6
61	77.4	76.6	78.1	82.5	80.6	84.5
60	77.1	76.3	77.8	82.4	80.4	84.3
59	76.8	76	77.6	82.2	80.2	84.2
58	76.6	75.7	77.3	82.1	80	84.2
57	76.3	75.4	77.1	82	79.8	84.1
56	76.1	75.1	76.9	81.8	79.7	84
55	75.8	74.9	76.7	81.7	79.5	83.9
54	75.6	74.6	76.5	81.6	79.4	83.8
53	75.3	74.3	76.2	81.5	79.2	83.7
52	75.1	74.1	76	81.4	79.1	83.7
51	74.9	73.8	75.8	81.3	79	83.6
50	74.7	73.6	75.7	81.2	78.9	83.5
49	74.5	73.3	75.5	81.1	78.8	83.5
48	74.3	73.1	75.3	81	78.7	83.4
47	74.1	72.9	75.1	81	78.6	83.4
46	73.9	72.7	75	80.9	78.5	83.3
45	73.7	72.5	74.8	80.8	78.4	83.3
44	73.5	72.3	74.6	80.8	78.3	83.2
43	73.3	72.1	74.5	80.7	78.3	83.2
42	73.1	71.9	74.3	80.6	78.2	83.1
41	72.9	71.7	74.1	80.6	78.1	83.1
40	72.8	71.5	74	80.5	78.1	83.1
39	72.6	71.3	73.8	80.5	78	83
38	72.4	71.1	73.6	80.5	78	83
37	72.2	70.9	73.5	80.4	77.9	83
36	72.1	70.7	73.3	80.4	77.9	83
35	71.9	70.6	73.2	80.4	77.8	82.9
34	71.7	70.4	73	80.3	77.8	82.9
33	71.6	70.2	72.9	80.3	77.8	82.9
32	71.4	70	72.8	80.2	77.7	82.8
31	71.2	69.8	72.6	80.2	77.7	82.8
30	71.1	69.6	72.5	80.2	77.6	82.8
29	70.9	69.4	72.3	80.1	77.6	82.8
28	70.7	69.3	72.2	80.1	77.6	82.7
27	70.6	69.1	72	80.1	77.5	82.7
26	70.4	68.9	71.9	80	77.5	82.7
25	70.2	68.7	71.7	80	77.4	82.7
24	70.1	68.5	71.6	80	77.4	82.6
23	69.9	68.3	71.5	79.9	77.4	82.6
22	69.7	68.1	71.3	79.9	77.3	82.6
21	69.6	67.9	71.2	79.9	77.3	82.6
20	69.4	67.7	71.1	79.8	77.3	82.5
19	69.2	67.5	71	79.8	77.2	82.5
18	69.1	67.3	70.8	79.8	77.2	82.5
17	69	67.2	70.7	79.8	77.2	82.5
16	68.8	67	70.6	79.8	77.2	82.5
15	68.7	66.9	70.5	79.7	77.1	82.4
14	68.6	66.8	70.4	79.7	77.1	82.4
13	68.5	66.7	70.3	79.7	77.1	82.4
12	68.4	66.6	70.2	79.7	77.1	82.4
11	68.3	66.5	70.1	79.7	77	82.4
10	68.2	66.3	70	79.6	77	82.4
9	68.1	66.2	69.9	79.6	77	82.4
8	67.9	66	69.7	79.6	77	82.3
7	67.7	65.8	69.5	79.6	77	82.3
6	67.5	65.6	69.3	79.6	76.9	82.3
5	67.2	65.3	69.1	79.6	76.9	82.3
4	67	65.1	68.9	79.5	76.9	82.3
3	66.8	64.9	68.7	79.5	76.9	82.2
2	66.6	64.7	68.5	79.5	76.9	82.2
1	66.4	64.4	68.3	79.5	76.8	82.2
0	64.1	62	66.2	79	76.4	81.8

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 Burundi can expect to live to 71.1 years compared to 80.2 in China, rising to 78.7 and 83.3 at 65, and to 85.9 and 88.1 at 80 — higher than the 64.1 and 79 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Burundi

Male

Female

China

Male

Female

1x

Age	Survival probability
	Burundi			China
	Average	Male	Female	Average	Male	Female
100	0.1%	0.04%	0.15%	0.82%	0.19%	1.45%
99	0.16%	0.08%	0.24%	1.33%	0.38%	2.27%
98	0.27%	0.13%	0.39%	2.06%	0.72%	3.42%
97	0.43%	0.22%	0.61%	3.08%	1.24%	4.95%
96	0.66%	0.36%	0.93%	4.43%	2%	6.91%
95	0.98%	0.56%	1.36%	6.17%	3.05%	9.37%
94	1.43%	0.86%	1.94%	8.32%	4.42%	12.3%
93	2.01%	1.29%	2.68%	10.9%	6.13%	15.8%
92	2.77%	1.86%	3.6%	13.7%	8.19%	19.4%
91	3.71%	2.6%	4.72%	16.8%	10.6%	23.3%
90	4.85%	3.54%	6.07%	20.2%	13.3%	27.4%
89	6.21%	4.68%	7.64%	23.8%	16.3%	31.6%
88	7.8%	6.02%	9.46%	27.5%	19.5%	35.8%
87	9.61%	7.57%	11.5%	31.4%	23%	40.2%
86	11.6%	9.33%	13.8%	35.4%	26.6%	44.5%
85	13.9%	11.3%	16.3%	39.4%	30.3%	48.8%
84	16.3%	13.4%	19%	43.3%	34.1%	52.9%
83	18.9%	15.7%	21.9%	47.2%	37.9%	56.8%
82	21.6%	18.1%	24.9%	51%	41.7%	60.5%
81	24.4%	20.7%	27.9%	54.5%	45.3%	64%
80	27.2%	23.4%	31%	57.8%	48.8%	67.1%
79	30.1%	26.1%	34.1%	60.9%	52.2%	70%
78	33%	28.8%	37.1%	63.8%	55.3%	72.5%
77	35.8%	31.5%	40.1%	66.5%	58.3%	74.9%
76	38.6%	34.2%	43%	69%	61.2%	77%
75	41.3%	36.9%	45.8%	71.3%	63.9%	79%
74	44%	39.5%	48.5%	73.5%	66.4%	80.8%
73	46.6%	42.1%	51.1%	75.6%	68.9%	82.5%
72	49.1%	44.5%	53.6%	77.5%	71.1%	84%
71	51.4%	46.9%	56%	79.3%	73.3%	85.5%
70	53.7%	49.1%	58.2%	80.9%	75.3%	86.7%
69	55.8%	51.3%	60.3%	82.4%	77.1%	87.8%
68	57.8%	53.4%	62.2%	83.7%	78.8%	88.8%
67	59.7%	55.3%	64%	84.9%	80.4%	89.6%
66	61.4%	57.2%	65.7%	86.1%	82%	90.5%
65	63.1%	59%	67.3%	87.2%	83.4%	91.2%
64	64.7%	60.7%	68.8%	88.3%	84.8%	91.9%
63	66.2%	62.3%	70.2%	89.2%	86%	92.6%
62	67.6%	63.8%	71.5%	90.1%	87.1%	93.1%
61	68.9%	65.1%	72.6%	90.8%	88.1%	93.6%
60	70.1%	66.5%	73.7%	91.5%	89%	94.1%
59	71.2%	67.7%	74.7%	92.1%	89.8%	94.5%
58	72.2%	68.8%	75.7%	92.6%	90.5%	94.8%
57	73.2%	69.9%	76.5%	93.1%	91.2%	95.1%
56	74.1%	70.9%	77.4%	93.5%	91.8%	95.4%
55	75%	71.9%	78.2%	94%	92.4%	95.7%
54	75.9%	72.9%	78.9%	94.4%	92.9%	95.9%
53	76.7%	73.9%	79.7%	94.8%	93.4%	96.2%
52	77.5%	74.7%	80.4%	95.1%	93.9%	96.4%
51	78.3%	75.6%	81%	95.4%	94.3%	96.6%
50	79%	76.4%	81.6%	95.7%	94.7%	96.8%
49	79.6%	77.1%	82.2%	96%	95.1%	97%
48	80.2%	77.8%	82.7%	96.2%	95.4%	97.1%
47	80.8%	78.5%	83.2%	96.4%	95.7%	97.3%
46	81.4%	79.1%	83.7%	96.6%	95.9%	97.4%
45	81.9%	79.7%	84.2%	96.8%	96.1%	97.5%
44	82.5%	80.3%	84.7%	97%	96.4%	97.6%
43	83%	80.9%	85.1%	97.1%	96.6%	97.7%
42	83.5%	81.4%	85.6%	97.3%	96.7%	97.8%
41	84%	81.9%	86%	97.4%	96.9%	97.9%
40	84.4%	82.5%	86.4%	97.5%	97%	98%
39	84.9%	82.9%	86.8%	97.6%	97.2%	98.1%
38	85.3%	83.4%	87.2%	97.7%	97.3%	98.1%
37	85.7%	83.9%	87.6%	97.8%	97.4%	98.2%
36	86.1%	84.3%	87.9%	97.9%	97.5%	98.3%
35	86.5%	84.8%	88.3%	97.9%	97.6%	98.3%
34	86.9%	85.2%	88.6%	98%	97.7%	98.4%
33	87.3%	85.6%	88.9%	98.1%	97.8%	98.4%
32	87.6%	86.1%	89.3%	98.2%	97.9%	98.5%
31	88%	86.5%	89.6%	98.2%	98%	98.5%
30	88.4%	86.9%	89.9%	98.3%	98%	98.6%
29	88.7%	87.3%	90.2%	98.4%	98.1%	98.6%
28	89.1%	87.7%	90.5%	98.4%	98.2%	98.7%
27	89.4%	88.1%	90.8%	98.5%	98.3%	98.7%
26	89.8%	88.5%	91.1%	98.6%	98.4%	98.8%
25	90.1%	88.9%	91.4%	98.6%	98.4%	98.8%
24	90.5%	89.3%	91.6%	98.7%	98.5%	98.9%
23	90.8%	89.7%	91.9%	98.7%	98.6%	98.9%
22	91.1%	90.1%	92.1%	98.8%	98.7%	99%
21	91.4%	90.5%	92.4%	98.8%	98.7%	99%
20	91.7%	90.9%	92.6%	98.9%	98.8%	99%
19	92%	91.2%	92.8%	98.9%	98.8%	99.1%
18	92.3%	91.5%	93.1%	99%	98.9%	99.1%
17	92.5%	91.8%	93.3%	99%	98.9%	99.1%
16	92.7%	92.1%	93.4%	99%	98.9%	99.1%
15	92.9%	92.3%	93.6%	99.1%	99%	99.2%
14	93.1%	92.5%	93.8%	99.1%	99%	99.2%
13	93.3%	92.7%	93.9%	99.1%	99%	99.2%
12	93.4%	92.8%	94.1%	99.1%	99.1%	99.2%
11	93.6%	93%	94.2%	99.2%	99.1%	99.2%
10	93.8%	93.3%	94.4%	99.2%	99.1%	99.3%
9	94.1%	93.5%	94.6%	99.2%	99.2%	99.3%
8	94.3%	93.8%	94.9%	99.3%	99.2%	99.3%
7	94.6%	94.1%	95.1%	99.3%	99.2%	99.3%
6	95%	94.5%	95.4%	99.3%	99.3%	99.4%
5	95.3%	94.9%	95.8%	99.3%	99.3%	99.4%
4	95.7%	95.2%	96.1%	99.3%	99.3%	99.4%
3	96%	95.6%	96.4%	99.4%	99.3%	99.4%
2	96.3%	95.9%	96.7%	99.4%	99.4%	99.5%
1	96.6%	96.3%	97%	99.5%	99.4%	99.5%

This chart shows the odds of living to each age from birth. 70.1% of newborns in Burundi and 91.5% in China are expected to live past 60, 53.7% and 80.9% past 70, 27.2% and 57.8% past 80, and only 4.85% and 20.2% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Burundi

Male

Female

China

Male

Female

1x

Age	Probability of dying
	Burundi			China
	Average	Male	Female	Average	Male	Female
100	42.6%	46.3%	42%	40.6%	55.2%	38.5%
99	40.6%	44.4%	39.9%	38.1%	51.3%	36.1%
98	38.9%	42.4%	38%	35.7%	46.6%	33.6%
97	37%	40.5%	36.1%	33.1%	42.1%	30.9%
96	35.1%	38.5%	34%	30.5%	38.1%	28.4%
95	33.1%	36.6%	31.9%	28.2%	34.3%	26.2%
94	31.1%	34.7%	29.7%	25.9%	31%	24.1%
93	29.1%	32.8%	27.6%	23.4%	27.9%	21.7%
92	27.2%	30.7%	25.6%	20.8%	25.2%	19%
91	25.3%	28.6%	23.8%	18.5%	22.6%	16.6%
90	23.6%	26.5%	22.1%	16.7%	20.4%	14.9%
89	21.9%	24.4%	20.6%	15.1%	18.4%	13.3%
88	20.3%	22.3%	19.2%	13.6%	16.6%	11.9%
87	18.8%	20.5%	17.9%	12.4%	15%	10.8%
86	17.4%	18.8%	16.6%	11.2%	13.6%	9.72%
85	16.1%	17.3%	15.4%	10.1%	12.3%	8.73%
84	14.9%	15.9%	14.2%	9.17%	11.2%	7.82%
83	13.7%	14.6%	13.1%	8.24%	10.1%	6.95%
82	12.5%	13.5%	11.9%	7.35%	9.03%	6.12%
81	11.5%	12.4%	10.9%	6.51%	8.06%	5.36%
80	10.5%	11.3%	9.9%	5.75%	7.17%	4.67%
79	9.54%	10.4%	8.99%	5.09%	6.39%	4.07%
78	8.7%	9.47%	8.16%	4.52%	5.71%	3.56%
77	7.93%	8.65%	7.42%	4.03%	5.14%	3.15%
76	7.25%	7.91%	6.76%	3.62%	4.65%	2.8%
75	6.63%	7.24%	6.16%	3.27%	4.23%	2.5%
74	6.06%	6.63%	5.62%	2.98%	3.86%	2.25%
73	5.53%	6.06%	5.12%	2.69%	3.5%	2.02%
72	5.04%	5.53%	4.65%	2.45%	3.19%	1.81%
71	4.59%	5.05%	4.22%	2.26%	2.96%	1.66%
70	4.18%	4.61%	3.82%	2.04%	2.7%	1.47%
69	3.8%	4.21%	3.46%	1.76%	2.36%	1.22%
68	3.46%	3.85%	3.13%	1.58%	2.14%	1.08%
67	3.17%	3.54%	2.85%	1.48%	2.01%	1%
66	2.9%	3.27%	2.59%	1.37%	1.86%	0.91%
65	2.67%	3.02%	2.36%	1.26%	1.72%	0.83%
64	2.45%	2.78%	2.15%	1.17%	1.59%	0.76%
63	2.24%	2.56%	1.96%	1.06%	1.45%	0.69%
62	2.05%	2.35%	1.78%	0.95%	1.3%	0.61%
61	1.87%	2.15%	1.61%	0.83%	1.14%	0.53%
60	1.7%	1.96%	1.47%	0.73%	1%	0.46%
59	1.56%	1.8%	1.34%	0.64%	0.88%	0.41%
58	1.44%	1.66%	1.23%	0.57%	0.78%	0.36%
57	1.34%	1.55%	1.15%	0.52%	0.71%	0.33%
56	1.27%	1.47%	1.08%	0.48%	0.66%	0.31%
55	1.2%	1.4%	1.02%	0.45%	0.62%	0.29%
54	1.14%	1.33%	0.97%	0.43%	0.59%	0.27%
53	1.09%	1.26%	0.92%	0.41%	0.55%	0.26%
52	1.02%	1.19%	0.86%	0.38%	0.51%	0.24%
51	0.95%	1.11%	0.8%	0.34%	0.46%	0.22%
50	0.88%	1.03%	0.74%	0.3%	0.41%	0.19%
49	0.82%	0.96%	0.69%	0.27%	0.36%	0.17%
48	0.76%	0.89%	0.65%	0.24%	0.32%	0.15%
47	0.72%	0.84%	0.61%	0.22%	0.29%	0.14%
46	0.69%	0.79%	0.59%	0.2%	0.26%	0.13%
45	0.66%	0.76%	0.57%	0.18%	0.24%	0.12%
44	0.64%	0.73%	0.56%	0.17%	0.22%	0.11%
43	0.62%	0.71%	0.55%	0.16%	0.21%	0.11%
42	0.6%	0.68%	0.53%	0.14%	0.19%	0.1%
41	0.58%	0.65%	0.51%	0.13%	0.17%	0.09%
40	0.55%	0.62%	0.49%	0.12%	0.15%	0.08%
39	0.53%	0.6%	0.46%	0.1%	0.13%	0.07%
38	0.5%	0.57%	0.44%	0.1%	0.12%	0.07%
37	0.48%	0.55%	0.42%	0.09%	0.11%	0.06%
36	0.47%	0.53%	0.4%	0.08%	0.1%	0.06%
35	0.45%	0.52%	0.39%	0.08%	0.1%	0.06%
34	0.44%	0.51%	0.38%	0.08%	0.1%	0.06%
33	0.43%	0.5%	0.37%	0.08%	0.09%	0.05%
32	0.43%	0.49%	0.36%	0.07%	0.09%	0.05%
31	0.42%	0.48%	0.36%	0.07%	0.09%	0.05%
30	0.41%	0.47%	0.35%	0.07%	0.09%	0.05%
29	0.4%	0.47%	0.34%	0.07%	0.09%	0.05%
28	0.4%	0.46%	0.33%	0.07%	0.08%	0.05%
27	0.39%	0.46%	0.32%	0.07%	0.08%	0.05%
26	0.38%	0.45%	0.31%	0.07%	0.08%	0.05%
25	0.37%	0.45%	0.3%	0.06%	0.08%	0.05%
24	0.37%	0.45%	0.29%	0.06%	0.07%	0.05%
23	0.36%	0.45%	0.28%	0.06%	0.07%	0.04%
22	0.36%	0.44%	0.27%	0.05%	0.07%	0.04%
21	0.35%	0.43%	0.27%	0.05%	0.06%	0.04%
20	0.33%	0.41%	0.26%	0.05%	0.05%	0.03%
19	0.31%	0.38%	0.25%	0.04%	0.05%	0.03%
18	0.29%	0.34%	0.24%	0.04%	0.04%	0.03%
17	0.26%	0.3%	0.22%	0.03%	0.04%	0.03%
16	0.23%	0.26%	0.2%	0.03%	0.04%	0.02%
15	0.21%	0.23%	0.18%	0.03%	0.04%	0.02%
14	0.19%	0.21%	0.16%	0.03%	0.04%	0.02%
13	0.18%	0.2%	0.15%	0.03%	0.04%	0.02%
12	0.18%	0.2%	0.16%	0.03%	0.03%	0.02%
11	0.19%	0.21%	0.17%	0.03%	0.03%	0.02%
10	0.21%	0.24%	0.19%	0.03%	0.03%	0.02%
9	0.25%	0.27%	0.22%	0.03%	0.03%	0.02%
8	0.29%	0.31%	0.26%	0.03%	0.03%	0.02%
7	0.33%	0.35%	0.3%	0.02%	0.03%	0.02%
6	0.35%	0.38%	0.33%	0.02%	0.02%	0.02%
5	0.37%	0.39%	0.34%	0.02%	0.02%	0.02%
4	0.36%	0.39%	0.33%	0.02%	0.02%	0.03%
3	0.35%	0.37%	0.32%	0.03%	0.03%	0.03%
2	0.33%	0.35%	0.3%	0.04%	0.04%	0.04%
1	0.31%	0.33%	0.28%	0.05%	0.05%	0.05%
0	3.39%	3.74%	3.04%	0.54%	0.59%	0.49%

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

The annual chance of dying is 3.39% in the birth year in Burundi and 0.54% in China, 0.41% vs 0.07% at age 30, 1.7% vs 0.73% at 60, and 10.5% vs 5.75% at 80.

Death rate by age in Burundi vs China

Chart Table

Burundi

Male

Female

China

Male

Female

1x

Age	Death rate
	Burundi			China
	Total	Male	Female	Total	Male	Female
100	0	0	0	145	0	355
99	66.9	33.4	96.7	505	196.9	819
98	104.8	55.5	148.9	735	334	1,147
97	158.5	88.9	221.1	1,018	523	1,530
96	231.2	137.8	316	1,350	762	1,962
95	326	206.7	434	1,738	1,046	2,458
94	444	300	576	2,153	1,368	2,972
93	586	422	739	2,544	1,713	3,413
92	752	571	922	2,856	2,061	3,693
91	939	745	1,124	3,108	2,396	3,865
90	1,144	937	1,343	3,366	2,708	4,066
89	1,362	1,139	1,576	3,582	2,988	4,200
88	1,585	1,345	1,818	3,745	3,232	4,268
87	1,809	1,550	2,062	3,880	3,440	4,326
86	2,028	1,752	2,299	3,965	3,608	4,325
85	2,234	1,947	2,517	3,995	3,731	4,256
84	2,420	2,131	2,708	3,972	3,803	4,134
83	2,579	2,300	2,861	3,891	3,816	3,953
82	2,706	2,445	2,973	3,745	3,764	3,707
81	2,796	2,561	3,041	3,550	3,655	3,426
80	2,850	2,646	3,069	3,328	3,503	3,132
79	2,871	2,699	3,061	3,103	3,332	2,846
78	2,866	2,725	3,027	2,884	3,160	2,586
77	2,839	2,727	2,972	2,680	2,998	2,356
76	2,798	2,708	2,903	2,497	2,846	2,155
75	2,741	2,672	2,820	2,336	2,704	1,979
74	2,666	2,618	2,724	2,190	2,566	1,823
73	2,577	2,548	2,615	2,034	2,410	1,665
72	2,474	2,464	2,493	1,895	2,269	1,525
71	2,360	2,368	2,360	1,792	2,168	1,415
70	2,240	2,265	2,222	1,654	2,034	1,272
69	2,118	2,159	2,084	1,448	1,822	1,069
68	2,001	2,057	1,950	1,325	1,689	956
67	1,889	1,960	1,823	1,260	1,614	898
66	1,784	1,868	1,704	1,179	1,527	825
65	1,683	1,778	1,592	1,103	1,438	761
64	1,584	1,688	1,483	1,030	1,348	703
63	1,484	1,594	1,377	946	1,247	635
62	1,384	1,496	1,273	853	1,133	564
61	1,285	1,398	1,173	757	1,009	498
60	1,193	1,303	1,081	668	892	436
59	1,109	1,217	1,000	590	791	383
58	1,039	1,145	932	527	706	342
57	982	1,087	877	482	645	313
56	938	1,041	834	451	603	292
55	902	1,005	798	427	572	276.5
54	868	971	764	408	546	263.3
53	833	934	729	387	518	249.2
52	792	891	691	360	482	231.3
51	746	842	649	327	438	210
50	699	789	607	290.9	390	187.2
49	653	738	567	257.4	344	166.1
48	614	693	534	229.6	306	149.2
47	583	655	509	208.9	276.7	137.2
46	560	627	492	192.8	253.9	128.1
45	543	605	481	178.6	234	119.7
44	531	588	473	165.2	215.7	111.4
43	519	571	465	152.2	198	103.3
42	504	554	454	139.1	180	95.4
41	487	535	439	126	161.9	87.5
40	468	515	421	113.4	144.6	79.7
39	448	494	401	102.3	129.3	72.9
38	429	476	382	93	116.7	67.2
37	413	461	365	86	107.2	62.7
36	401	449	351	81	100.6	59.2
35	391	441	341	77.6	96.3	56.7
34	384	435	333	75.4	93.5	55
33	379	430	328	73.9	91.7	53.8
32	374	424	323	72.9	90.3	53
31	369	419	319	71.6	88.7	51.9
30	364	412	314	70	86.7	50.7
29	358	407	308	68.3	84.6	49.4
28	352	403	301	67	82.9	48.7
27	347	401	291.3	65.8	81	48.1
26	342	401	281	64.1	78.3	47.4
25	337	403	270.7	62.2	75.4	46.7
24	334	404	261.6	60.3	72.7	45.8
23	330	404	254.6	57.6	69	44.1
22	325	399	249.5	53.9	64.4	41.5
21	318	388	245.7	49.4	59.1	38.1
20	306	370	241.1	44.8	53.7	34.3
19	289	344	233.5	40.4	48.5	30.8
18	266.8	312	221.1	36.6	44.2	27.6
17	240.6	276.9	203.7	33.6	40.9	25
16	214.2	243.8	184	31.4	38.5	23.1
15	190.8	215.8	165.3	30	36.9	21.9
14	173.8	195.9	151.3	29.2	35.9	21.3
13	165.5	186.1	144.5	28.7	35.2	21.2
12	166.8	186.9	146.2	28.2	34.1	21.3
11	178.8	199.3	157.8	27.5	32.7	21.6
10	201.4	222.8	179.6	27.6	32	22.6
9	233.9	256.1	211.1	27.6	31.1	23.5
8	272.2	295.1	248.8	26.3	28.8	23.3
7	309	332	285	24.2	25.8	22.4
6	336	359	312	22.5	23.1	21.8
5	348	371	324	22.3	22.3	22.4
4	345	369	321	24.6	24.2	25
3	332	356	308	29.6	29.3	29.9
2	314	339	289.4	36.1	35.9	36.3
1	295.9	320	270.9	45.9	46.8	44.9
0	3,394	3,742	3,039	540	585	490

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 Burundi, the most common age of death is 0, compared to 85 in China. The median age of death is 71.6 in Burundi and 82.3 in China, 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 Burundi and China more than their death rates.

Life expectancy in other countries

+ -

1x