Life Expectancy in China vs Zimbabwe (1950-2025)

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 China vs Zimbabwe: 79.6 years vs 68.4 at 30, 82.9 vs 78.3 at 65, 87.9 vs 86.4 at 80 — significantly higher than the 78.4 vs 63.3 years calculated at birth.

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

Table

Current age, years	Total life expectancy, years
	China			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	78.4	75.7	81.2	63.3	60.8	65.6
1	78.8	76.2	81.7	65.4	62.9	67.5
2	78.9	76.2	81.7	65.7	63.2	67.8
3	78.9	76.2	81.8	65.9	63.4	68.1
4	78.9	76.2	81.8	66.1	63.6	68.2
5	79	76.3	81.8	66.2	63.7	68.3
6	79	76.3	81.8	66.2	63.7	68.4
7	79	76.3	81.8	66.3	63.8	68.4
8	79	76.3	81.9	66.4	63.9	68.5
9	79	76.3	81.9	66.4	63.9	68.5
10	79.1	76.4	81.9	66.5	64	68.6
11	79.1	76.4	81.9	66.5	64	68.6
12	79.1	76.4	81.9	66.5	64	68.7
13	79.1	76.4	82	66.6	64.1	68.7
14	79.1	76.5	82	66.6	64.1	68.8
15	79.2	76.5	82	66.7	64.2	68.8
16	79.2	76.5	82	66.7	64.3	68.9
17	79.2	76.5	82	66.8	64.3	68.9
18	79.2	76.6	82	66.9	64.4	69
19	79.3	76.6	82.1	67	64.5	69.1
20	79.3	76.6	82.1	67.1	64.6	69.1
21	79.3	76.7	82.1	67.2	64.7	69.2
22	79.3	76.7	82.1	67.3	64.8	69.3
23	79.4	76.7	82.1	67.4	65	69.4
24	79.4	76.8	82.2	67.5	65.1	69.5
25	79.4	76.8	82.2	67.6	65.2	69.7
26	79.5	76.9	82.2	67.8	65.4	69.8
27	79.5	76.9	82.3	67.9	65.5	69.9
28	79.6	76.9	82.3	68.1	65.7	70
29	79.6	77	82.3	68.2	65.8	70.2
30	79.6	77	82.3	68.4	66	70.3
31	79.7	77.1	82.4	68.5	66.2	70.5
32	79.7	77.1	82.4	68.7	66.4	70.6
33	79.7	77.2	82.4	68.9	66.6	70.8
34	79.8	77.2	82.5	69.1	66.8	71
35	79.8	77.3	82.5	69.3	67	71.2
36	79.9	77.3	82.5	69.5	67.2	71.3
37	79.9	77.3	82.5	69.7	67.4	71.5
38	79.9	77.4	82.6	69.9	67.6	71.7
39	80	77.4	82.6	70.1	67.9	71.9
40	80	77.5	82.6	70.3	68.1	72.1
41	80.1	77.6	82.7	70.6	68.4	72.3
42	80.1	77.6	82.7	70.8	68.6	72.6
43	80.2	77.7	82.8	71	68.9	72.8
44	80.2	77.8	82.8	71.3	69.2	73
45	80.3	77.8	82.9	71.6	69.5	73.2
46	80.4	77.9	82.9	71.8	69.8	73.5
47	80.5	78	83	72.1	70.1	73.7
48	80.5	78.1	83	72.4	70.4	74
49	80.6	78.2	83.1	72.6	70.7	74.2
50	80.7	78.3	83.1	72.9	71	74.5
51	80.8	78.4	83.2	73.2	71.4	74.7
52	80.9	78.6	83.3	73.5	71.7	75
53	81	78.7	83.3	73.9	72.1	75.3
54	81.1	78.9	83.4	74.2	72.4	75.6
55	81.3	79	83.5	74.5	72.8	75.9
56	81.4	79.2	83.6	74.8	73.1	76.2
57	81.5	79.3	83.7	75.2	73.5	76.5
58	81.6	79.5	83.8	75.5	73.9	76.8
59	81.8	79.7	83.9	75.9	74.3	77.1
60	81.9	79.9	84	76.2	74.7	77.5
61	82.1	80.1	84.1	76.6	75.1	77.8
62	82.3	80.3	84.2	77	75.6	78.2
63	82.5	80.6	84.4	77.4	76	78.6
64	82.7	80.8	84.5	77.9	76.5	79
65	82.9	81.1	84.7	78.3	76.9	79.4
66	83.2	81.4	84.9	78.7	77.4	79.8
67	83.4	81.7	85	79.2	77.9	80.2
68	83.7	82	85.2	79.7	78.4	80.6
69	84	82.4	85.4	80.2	78.9	81.1
70	84.2	82.7	85.6	80.6	79.5	81.6
71	84.5	83.1	85.9	81.2	80	82
72	84.9	83.4	86.1	81.7	80.6	82.5
73	85.2	83.8	86.4	82.2	81.1	83
74	85.5	84.2	86.7	82.8	81.7	83.5
75	85.9	84.6	87	83.3	82.3	84.1
76	86.3	85.1	87.3	83.9	82.9	84.6
77	86.7	85.5	87.6	84.5	83.6	85.2
78	87.1	86	87.9	85.1	84.2	85.7
79	87.5	86.4	88.3	85.7	84.9	86.3
80	87.9	87	88.7	86.4	85.6	86.9
81	88.4	87.5	89.1	87	86.3	87.5
82	88.9	88	89.6	87.7	87	88.1
83	89.5	88.6	90.1	88.3	87.7	88.7
84	90	89.2	90.6	89	88.4	89.4
85	90.6	89.8	91.1	89.8	89.2	90.1
86	91.2	90.5	91.7	90.5	90	90.8
87	91.9	91.1	92.3	91.2	90.8	91.5
88	92.5	91.8	92.9	92	91.6	92.2
89	93.2	92.5	93.5	92.8	92.4	93
90	93.8	93.2	94.1	93.6	93.2	93.7
91	94.5	93.9	94.8	94.4	94	94.5
92	95.2	94.7	95.4	95.2	94.9	95.3
93	96	95.4	96.2	96	95.7	96.1
94	96.7	96.2	96.9	96.9	96.6	97
95	97.6	97	97.7	97.7	97.5	97.8
96	98.4	97.8	98.5	98.6	98.4	98.7
97	99.2	98.7	99.4	99.5	99.2	99.5
98	100.1	99.6	100.2	100.4	100.1	100.4
99	101	100.5	101.1	101.2	101	101.3
100	102	101.7	102	102.2	101.9	102.2

Odds of living to age in China vs Zimbabwe

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 90.9% in China and 65.6% in Zimbabwe are expected to survive till at least 60 years old, 79.7% and 46.8% will live to 70 years or older, 55.8% and 23.2% to 80+ years, and 18.6% and 4.89% 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
	China			Zimbabwe
	Average	Male	Female	Average	Male	Female
1	99.4%	99.3%	99.5%	96.9%	96.5%	97.2%
2	99.3%	99.3%	99.4%	96.4%	96%	96.7%
3	99.3%	99.2%	99.4%	96.1%	95.7%	96.4%
4	99.3%	99.2%	99.3%	95.8%	95.5%	96.2%
5	99.2%	99.2%	99.3%	95.7%	95.4%	96%
6	99.2%	99.2%	99.3%	95.6%	95.2%	95.9%
7	99.2%	99.1%	99.3%	95.5%	95.1%	95.8%
8	99.2%	99.1%	99.2%	95.4%	95%	95.7%
9	99.1%	99.1%	99.2%	95.3%	95%	95.6%
10	99.1%	99%	99.2%	95.2%	94.9%	95.6%
11	99.1%	99%	99.2%	95.1%	94.8%	95.5%
12	99%	99%	99.1%	95.1%	94.7%	95.4%
13	99%	98.9%	99.1%	95%	94.6%	95.4%
14	99%	98.9%	99.1%	94.9%	94.6%	95.3%
15	99%	98.9%	99.1%	94.8%	94.5%	95.2%
16	98.9%	98.8%	99%	94.7%	94.3%	95.1%
17	98.9%	98.8%	99%	94.6%	94.2%	95%
18	98.9%	98.7%	99%	94.4%	94%	94.9%
19	98.8%	98.7%	99%	94.3%	93.8%	94.7%
20	98.8%	98.6%	98.9%	94.1%	93.6%	94.5%
21	98.7%	98.6%	98.9%	93.9%	93.4%	94.4%
22	98.7%	98.5%	98.8%	93.7%	93.1%	94.2%
23	98.6%	98.4%	98.8%	93.4%	92.9%	94%
24	98.5%	98.4%	98.8%	93.2%	92.6%	93.8%
25	98.5%	98.3%	98.7%	92.9%	92.2%	93.5%
26	98.4%	98.2%	98.7%	92.6%	91.9%	93.3%
27	98.3%	98.1%	98.6%	92.3%	91.6%	93%
28	98.3%	98%	98.6%	91.9%	91.2%	92.7%
29	98.2%	97.9%	98.5%	91.6%	90.8%	92.4%
30	98.1%	97.8%	98.5%	91.2%	90.4%	92%
31	98.1%	97.8%	98.4%	90.8%	89.9%	91.7%
32	98%	97.7%	98.3%	90.4%	89.5%	91.3%
33	97.9%	97.6%	98.3%	90%	89%	90.9%
34	97.8%	97.5%	98.2%	89.5%	88.4%	90.5%
35	97.7%	97.4%	98.2%	89%	87.9%	90.1%
36	97.7%	97.3%	98.1%	88.5%	87.3%	89.6%
37	97.6%	97.2%	98%	87.9%	86.6%	89.1%
38	97.5%	97%	98%	87.4%	86%	88.6%
39	97.4%	96.9%	97.9%	86.7%	85.3%	88.1%
40	97.3%	96.8%	97.8%	86.1%	84.5%	87.5%
41	97.2%	96.6%	97.7%	85.4%	83.7%	87%
42	97%	96.5%	97.7%	84.7%	82.9%	86.4%
43	96.9%	96.3%	97.6%	84%	82.1%	85.7%
44	96.7%	96%	97.4%	83.2%	81.2%	85.1%
45	96.5%	95.8%	97.3%	82.5%	80.3%	84.4%
46	96.3%	95.6%	97.2%	81.6%	79.3%	83.7%
47	96.1%	95.3%	97.1%	80.8%	78.3%	82.9%
48	95.9%	95%	96.9%	79.9%	77.2%	82.2%
49	95.7%	94.7%	96.8%	78.9%	76.1%	81.3%
50	95.4%	94.3%	96.6%	78%	75%	80.5%
51	95.1%	93.9%	96.4%	76.9%	73.8%	79.6%
52	94.7%	93.4%	96.2%	75.9%	72.5%	78.7%
53	94.4%	92.9%	95.9%	74.8%	71.2%	77.7%
54	94%	92.4%	95.7%	73.6%	69.8%	76.7%
55	93.5%	91.8%	95.4%	72.4%	68.5%	75.6%
56	93.1%	91.2%	95.1%	71.2%	67%	74.5%
57	92.6%	90.5%	94.8%	69.9%	65.5%	73.3%
58	92.1%	89.9%	94.5%	68.5%	64%	72.1%
59	91.5%	89.1%	94.1%	67.1%	62.4%	70.9%
60	90.9%	88.3%	93.7%	65.6%	60.7%	69.6%
61	90.2%	87.3%	93.2%	64%	59%	68.1%
62	89.4%	86.2%	92.7%	62.4%	57.1%	66.7%
63	88.5%	85%	92.1%	60.7%	55.3%	65.1%
64	87.5%	83.7%	91.4%	58.9%	53.3%	63.5%
65	86.4%	82.3%	90.7%	57%	51.3%	61.8%
66	85.2%	80.8%	89.9%	55.1%	49.2%	59.9%
67	84%	79.2%	89%	53.1%	47.1%	58.1%
68	82.6%	77.5%	88.1%	51.1%	44.9%	56.1%
69	81.2%	75.7%	87.1%	49%	42.7%	54.1%
70	79.7%	73.8%	85.9%	46.8%	40.5%	52.1%
71	78%	71.6%	84.6%	44.6%	38.2%	49.9%
72	76.1%	69.4%	83.1%	42.3%	35.8%	47.7%
73	74.1%	67%	81.5%	39.9%	33.4%	45.4%
74	72%	64.5%	79.8%	37.6%	31%	43.1%
75	69.7%	61.9%	77.9%	35.2%	28.6%	40.7%
76	67.3%	59.1%	75.8%	32.7%	26.3%	38.3%
77	64.7%	56.2%	73.6%	30.3%	23.9%	35.8%
78	61.9%	53.1%	71.1%	27.9%	21.6%	33.4%
79	59%	49.9%	68.5%	25.5%	19.4%	30.9%
80	55.8%	46.5%	65.5%	23.2%	17.2%	28.5%
81	52.4%	43%	62.3%	20.9%	15.1%	26%
82	48.8%	39.3%	58.8%	18.7%	13.2%	23.6%
83	45.1%	35.6%	55.1%	16.5%	11.3%	21.2%
84	41.2%	31.8%	51.1%	14.4%	9.61%	18.8%
85	37.2%	28.1%	46.9%	12.4%	8.05%	16.5%
86	33.3%	24.5%	42.6%	10.6%	6.66%	14.3%
87	29.4%	21%	38.3%	8.93%	5.43%	12.2%
88	25.6%	17.8%	34%	7.41%	4.36%	10.3%
89	22%	14.7%	29.9%	6.06%	3.44%	8.59%
90	18.6%	11.9%	25.7%	4.89%	2.68%	7.05%
91	15.4%	9.4%	21.8%	3.87%	2.04%	5.66%
92	12.5%	7.21%	18.1%	3.02%	1.53%	4.5%
93	9.8%	5.34%	14.6%	2.31%	1.13%	3.5%
94	7.45%	3.81%	11.3%	1.74%	0.81%	2.66%
95	5.48%	2.6%	8.53%	1.28%	0.57%	1.99%
96	3.9%	1.69%	6.25%	0.92%	0.4%	1.45%
97	2.69%	1.03%	4.44%	0.65%	0.27%	1.03%
98	1.79%	0.59%	3.04%	0.45%	0.18%	0.72%
99	1.14%	0.31%	2.01%	0.3%	0.11%	0.49%
100	0.7%	0.15%	1.28%	0.2%	0.07%	0.33%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 0.6% in the birth year in China and 3.14% in Zimbabwe, 0.08% vs 0.43% at age 30, 0.78% vs 2.4% at 60, and 6.06% vs 9.93% at 80.

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

Table

Age	Probability of dying
	China			Zimbabwe
	Average	Male	Female	Average	Male	Female
0	0.6%	0.66%	0.54%	3.14%	3.48%	2.78%
1	0.05%	0.05%	0.05%	0.51%	0.49%	0.54%
2	0.04%	0.04%	0.04%	0.33%	0.32%	0.33%
3	0.03%	0.03%	0.03%	0.23%	0.23%	0.22%
4	0.03%	0.03%	0.03%	0.16%	0.17%	0.16%
5	0.02%	0.02%	0.02%	0.12%	0.13%	0.12%
6	0.03%	0.03%	0.02%	0.11%	0.11%	0.1%
7	0.03%	0.03%	0.02%	0.09%	0.1%	0.09%
8	0.03%	0.03%	0.03%	0.08%	0.09%	0.08%
9	0.03%	0.03%	0.03%	0.08%	0.08%	0.07%
10	0.03%	0.04%	0.02%	0.08%	0.08%	0.07%
11	0.03%	0.04%	0.02%	0.08%	0.08%	0.07%
12	0.03%	0.04%	0.02%	0.08%	0.09%	0.07%
13	0.03%	0.04%	0.02%	0.09%	0.09%	0.08%
14	0.03%	0.04%	0.02%	0.1%	0.11%	0.09%
15	0.03%	0.04%	0.02%	0.11%	0.12%	0.11%
16	0.03%	0.04%	0.03%	0.13%	0.15%	0.12%
17	0.04%	0.05%	0.03%	0.16%	0.18%	0.14%
18	0.04%	0.05%	0.03%	0.18%	0.21%	0.15%
19	0.04%	0.05%	0.03%	0.2%	0.23%	0.17%
20	0.05%	0.06%	0.04%	0.22%	0.25%	0.19%
21	0.05%	0.07%	0.04%	0.24%	0.27%	0.2%
22	0.06%	0.07%	0.05%	0.26%	0.3%	0.22%
23	0.06%	0.08%	0.05%	0.28%	0.32%	0.24%
24	0.07%	0.08%	0.05%	0.3%	0.34%	0.25%
25	0.07%	0.08%	0.05%	0.32%	0.36%	0.27%
26	0.07%	0.09%	0.05%	0.34%	0.38%	0.3%
27	0.07%	0.09%	0.05%	0.36%	0.41%	0.32%
28	0.07%	0.09%	0.05%	0.38%	0.43%	0.34%
29	0.07%	0.09%	0.05%	0.41%	0.46%	0.36%
30	0.08%	0.1%	0.05%	0.43%	0.49%	0.38%
31	0.08%	0.1%	0.06%	0.45%	0.52%	0.4%
32	0.08%	0.1%	0.06%	0.49%	0.56%	0.43%
33	0.08%	0.1%	0.06%	0.52%	0.59%	0.45%
34	0.08%	0.1%	0.06%	0.55%	0.64%	0.48%
35	0.08%	0.11%	0.06%	0.59%	0.68%	0.51%
36	0.09%	0.11%	0.06%	0.62%	0.72%	0.54%
37	0.09%	0.12%	0.07%	0.66%	0.77%	0.57%
38	0.1%	0.13%	0.07%	0.7%	0.82%	0.6%
39	0.11%	0.14%	0.08%	0.74%	0.87%	0.63%
40	0.12%	0.16%	0.09%	0.78%	0.92%	0.67%
41	0.14%	0.18%	0.09%	0.82%	0.97%	0.69%
42	0.15%	0.2%	0.1%	0.86%	1.02%	0.73%
43	0.17%	0.22%	0.11%	0.9%	1.08%	0.76%
44	0.18%	0.24%	0.12%	0.95%	1.14%	0.8%
45	0.2%	0.26%	0.13%	1%	1.21%	0.84%
46	0.21%	0.28%	0.14%	1.05%	1.28%	0.89%
47	0.23%	0.31%	0.15%	1.11%	1.35%	0.94%
48	0.25%	0.34%	0.16%	1.17%	1.43%	0.99%
49	0.29%	0.39%	0.18%	1.24%	1.52%	1.05%
50	0.32%	0.44%	0.2%	1.32%	1.62%	1.12%
51	0.36%	0.5%	0.23%	1.38%	1.7%	1.17%
52	0.4%	0.55%	0.25%	1.46%	1.8%	1.25%
53	0.43%	0.59%	0.27%	1.54%	1.89%	1.31%
54	0.46%	0.63%	0.29%	1.62%	2%	1.38%
55	0.48%	0.66%	0.31%	1.72%	2.11%	1.46%
56	0.51%	0.7%	0.32%	1.82%	2.22%	1.55%
57	0.55%	0.76%	0.35%	1.94%	2.35%	1.64%
58	0.61%	0.83%	0.38%	2.08%	2.51%	1.75%
59	0.68%	0.94%	0.43%	2.22%	2.67%	1.87%
60	0.78%	1.07%	0.49%	2.4%	2.89%	2.02%
61	0.89%	1.23%	0.57%	2.55%	3.07%	2.15%
62	1.01%	1.39%	0.64%	2.75%	3.3%	2.33%
63	1.13%	1.55%	0.73%	2.95%	3.53%	2.51%
64	1.25%	1.71%	0.81%	3.16%	3.77%	2.72%
65	1.35%	1.85%	0.89%	3.4%	4.03%	2.95%
66	1.46%	2%	0.97%	3.61%	4.29%	3.12%
67	1.58%	2.15%	1.06%	3.85%	4.59%	3.33%
68	1.69%	2.29%	1.14%	4.12%	4.93%	3.57%
69	1.87%	2.53%	1.29%	4.41%	5.28%	3.81%
70	2.18%	2.89%	1.56%	4.79%	5.74%	4.14%
71	2.41%	3.16%	1.76%	5.1%	6.12%	4.39%
72	2.6%	3.4%	1.92%	5.54%	6.65%	4.78%
73	2.86%	3.73%	2.14%	5.96%	7.16%	5.13%
74	3.16%	4.11%	2.38%	6.42%	7.71%	5.53%
75	3.48%	4.51%	2.65%	6.91%	8.32%	5.96%
76	3.84%	4.94%	2.95%	7.41%	8.94%	6.39%
77	4.28%	5.45%	3.32%	7.93%	9.61%	6.83%
78	4.78%	6.05%	3.75%	8.57%	10.4%	7.41%
79	5.36%	6.75%	4.28%	9.15%	11.2%	7.89%
80	6.06%	7.57%	4.9%	9.93%	12.1%	8.6%
81	6.85%	8.5%	5.61%	10.6%	12.9%	9.19%
82	7.71%	9.5%	6.41%	11.6%	14%	10.3%
83	8.63%	10.6%	7.26%	12.6%	15.1%	11.2%
84	9.58%	11.7%	8.15%	13.7%	16.2%	12.3%
85	10.6%	12.9%	9.09%	14.7%	17.3%	13.3%
86	11.7%	14.2%	10.1%	15.9%	18.5%	14.5%
87	12.8%	15.6%	11.2%	17%	19.7%	15.6%
88	14.1%	17.2%	12.3%	18.2%	21%	16.8%
89	15.6%	19%	13.7%	19.4%	22.2%	18%
90	17.2%	21.1%	15.3%	20.9%	23.7%	19.6%
91	19%	23.3%	17.1%	21.9%	24.9%	20.6%
92	21.4%	25.9%	19.5%	23.5%	26.5%	22.3%
93	24%	28.7%	22.2%	24.9%	27.9%	23.8%
94	26.5%	31.8%	24.6%	26.5%	29.5%	25.4%
95	28.8%	35.1%	26.8%	28.1%	31%	27.1%
96	31.1%	38.8%	28.9%	29.6%	32.5%	28.7%
97	33.6%	42.9%	31.4%	31.1%	33.9%	30.2%
98	36.2%	47.2%	34%	32.4%	35.2%	31.7%
99	38.5%	51.9%	36.5%	34.3%	36.9%	33.6%
100	41%	55.8%	38.9%	35.7%	38.2%	35%

Death rate by age in China compared to Zimbabwe

In China, the most common age of death is 84, compared to 0 in Zimbabwe. The median age of death is 81.7 in China and 68.5 in Zimbabwe — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	China			Zimbabwe
	Total	Male	Female	Total	Male	Female
0	604	659	543	3,136	3,483	2,783
1	51.2	52.7	49.5	497	473	521
2	40.1	40.2	40	315	310	320
3	32.8	32.7	32.9	216.2	216.8	215.5
4	27.2	27	27.4	156.9	160.1	153.6
5	24.7	24.8	24.6	118.8	121.5	116
6	24.9	25.7	23.9	100.5	104.5	96.4
7	26.7	28.6	24.6	89.4	93.9	84.7
8	29	32	25.6	80.4	84.8	75.8
9	30.4	34.5	25.8	74.6	78.4	70.8
10	30.5	35.4	24.7	72.1	76.1	68.1
11	30.3	36.2	23.5	72.7	77.8	67.4
12	31	37.7	23.2	75.8	81.1	70.4
13	31.5	38.7	23	82.5	87.9	77.1
14	31.9	39.4	23.1	93.4	100.1	86.5
15	32.8	40.5	23.7	109	117.7	100.2
16	34.3	42.1	25	126.2	138.7	113.6
17	36.5	44.6	27	147.2	165.3	128.9
18	39.7	48.1	29.8	169.5	193.7	145.2
19	43.7	52.8	33.1	187.5	214.4	160.3
20	48.5	58.2	36.9	205.9	235.6	176.2
21	53.5	64.1	40.9	222	256.1	188.1
22	58.2	69.8	44.5	240.5	276.8	204.7
23	62.1	74.7	47.3	258.3	296.1	221.4
24	65	78.6	49.1	275.7	314	238.6
25	66.9	81.5	50	294.1	334	256.2
26	68.9	84.5	50.7	313	353	275.5
27	70.7	87.3	51.4	333	374	295
28	72	89.3	51.9	352	396	312
29	73.2	91.1	52.7	372	419	333
30	74.9	93.3	54	395	446	351
31	76.6	95.3	55.3	413	468	366
32	77.9	96.9	56.3	439	498	390
33	79	98.3	57.2	464	528	411
34	80.4	100.2	58.3	492	562	434
35	82.7	103	60.1	524	598	462
36	86.2	107.5	62.7	551	631	485
37	91.5	114.5	66.3	582	668	508
38	99	124.6	71.1	611	704	534
39	108.7	138	77.1	639	738	557
40	120.6	154.2	84.3	673	780	583
41	134	172.6	92.5	698	808	604
42	147.8	191.9	100.8	729	847	629
43	161.7	211	109.2	758	884	654
44	175.4	229.8	117.7	789	924	680
45	189.6	249.1	126.4	826	970	713
46	204.7	270.2	135.2	859	1,012	742
47	221.7	294.3	144.8	896	1,058	777
48	243.7	325	157.5	937	1,108	817
49	273.2	366	175.4	976	1,156	856
50	309	414	197.7	1,026	1,217	902
51	347	466	221.9	1,061	1,254	934
52	382	513	244.4	1,109	1,307	980
53	410	551	263.4	1,148	1,349	1,017
54	433	580	278.4	1,193	1,395	1,060
55	453	608	292.3	1,244	1,446	1,104
56	478	641	309	1,297	1,490	1,153
57	511	685	331	1,355	1,542	1,203
58	559	750	362	1,422	1,603	1,262
59	626	840	405	1,489	1,666	1,323
60	709	948	461	1,576	1,757	1,402
61	804	1,070	527	1,633	1,808	1,466
62	905	1,202	597	1,717	1,888	1,555
63	1,003	1,322	672	1,788	1,949	1,637
64	1,091	1,428	743	1,862	2,010	1,726
65	1,168	1,521	804	1,941	2,070	1,823
66	1,247	1,612	871	1,987	2,114	1,872
67	1,329	1,701	947	2,044	2,164	1,934
68	1,396	1,776	1,007	2,105	2,214	2,002
69	1,523	1,912	1,126	2,159	2,257	2,062
70	1,738	2,131	1,338	2,242	2,322	2,156
71	1,877	2,265	1,486	2,272	2,337	2,192
72	1,980	2,362	1,598	2,345	2,383	2,282
73	2,120	2,502	1,741	2,380	2,394	2,332
74	2,277	2,655	1,902	2,411	2,394	2,385
75	2,425	2,787	2,061	2,430	2,383	2,429
76	2,587	2,920	2,238	2,425	2,347	2,449
77	2,768	3,062	2,439	2,403	2,297	2,449
78	2,961	3,212	2,668	2,392	2,248	2,474
79	3,164	3,368	2,927	2,333	2,161	2,441
80	3,383	3,522	3,211	2,302	2,087	2,449
81	3,591	3,652	3,498	2,209	1,956	2,393
82	3,765	3,736	3,768	2,170	1,848	2,423
83	3,888	3,760	3,998	2,075	1,706	2,376
84	3,946	3,719	4,161	1,972	1,560	2,317
85	3,943	3,619	4,261	1,833	1,396	2,205
86	3,888	3,470	4,305	1,685	1,233	2,076
87	3,776	3,279	4,280	1,517	1,069	1,910
88	3,612	3,052	4,196	1,349	914	1,739
89	3,426	2,794	4,102	1,174	765	1,548
90	3,198	2,507	3,943	1,021	635	1,382
91	2,931	2,194	3,721	847	508	1,167
92	2,669	1,866	3,528	709	406	1,001
93	2,354	1,533	3,234	576	315	830
94	1,973	1,209	2,791	459	239.6	676
95	1,576	912	2,287	359	177.9	539
96	1,211	654	1,807	271.7	128.5	416
97	903	442	1,395	200.6	90.4	312
98	646	278.4	1,036	144.5	62.1	228.5
99	439	161.6	732	103.1	42.2	165.5
100	102.8	0	287.1	24.2	0	51.9

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 China and Zimbabwe 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
• China vs Zimbabwe: Numbers and Trends

By topic vs comparisons:

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