Life Expectancy in Burundi vs China (1950-2026)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Burundi vs China: 71.1 years vs 80.2 at 30, 78.7 vs 83.3 at 65, 85.9 vs 88.1 at 80 — significantly higher than the 64.1 vs 79 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Burundi and China.

Table

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

Odds of living to age in Burundi vs China

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 70.1% in Burundi and 91.5% in China are expected to survive till at least 60 years old, 53.7% and 80.9% will live to 70 years or older, 27.2% and 57.8% to 80+ years, and 4.85% and 20.2% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

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

Odds of dying by age chart

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.

Below is a graph displaying the probabilities of dying in Burundi compared to China at any given age.

Table

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

Death rate by age in Burundi compared to China

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 — only half of the newborns in both countries are expected to live past these ages.

Table

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

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Burundi and China demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Burundi vs China: Data-driven Comparison

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size