Life Expectancy in China vs Moldova (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 Moldova: 79.6 years vs 73 at 30, 82.9 vs 79.7 at 65, 87.9 vs 87 at 80 — significantly higher than the 78.4 vs 71.5 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 Moldova.

Table

Current age, years	Total life expectancy, years
	China			Moldova
	Average	Male	Female	Average	Male	Female
0	78.4	75.7	81.2	71.5	66.8	75.8
1	78.8	76.2	81.7	72.2	67.6	76.4
2	78.9	76.2	81.7	72.2	67.6	76.5
3	78.9	76.2	81.8	72.2	67.7	76.5
4	78.9	76.2	81.8	72.3	67.7	76.5
5	79	76.3	81.8	72.3	67.7	76.6
6	79	76.3	81.8	72.3	67.7	76.6
7	79	76.3	81.8	72.3	67.7	76.6
8	79	76.3	81.9	72.3	67.7	76.6
9	79	76.3	81.9	72.3	67.8	76.6
10	79.1	76.4	81.9	72.4	67.8	76.6
11	79.1	76.4	81.9	72.4	67.8	76.6
12	79.1	76.4	81.9	72.4	67.8	76.6
13	79.1	76.4	82	72.4	67.8	76.7
14	79.1	76.5	82	72.4	67.8	76.7
15	79.2	76.5	82	72.4	67.9	76.7
16	79.2	76.5	82	72.5	67.9	76.7
17	79.2	76.5	82	72.5	67.9	76.7
18	79.2	76.6	82	72.5	67.9	76.7
19	79.3	76.6	82.1	72.5	68	76.8
20	79.3	76.6	82.1	72.6	68	76.8
21	79.3	76.7	82.1	72.6	68.1	76.8
22	79.3	76.7	82.1	72.6	68.1	76.8
23	79.4	76.7	82.1	72.7	68.2	76.8
24	79.4	76.8	82.2	72.7	68.2	76.8
25	79.4	76.8	82.2	72.7	68.3	76.9
26	79.5	76.9	82.2	72.8	68.3	76.9
27	79.5	76.9	82.3	72.8	68.4	76.9
28	79.6	76.9	82.3	72.9	68.5	76.9
29	79.6	77	82.3	72.9	68.5	77
30	79.6	77	82.3	73	68.6	77
31	79.7	77.1	82.4	73	68.7	77
32	79.7	77.1	82.4	73.1	68.8	77.1
33	79.7	77.2	82.4	73.2	68.9	77.1
34	79.8	77.2	82.5	73.2	69	77.1
35	79.8	77.3	82.5	73.3	69.1	77.2
36	79.9	77.3	82.5	73.4	69.2	77.2
37	79.9	77.3	82.5	73.5	69.3	77.3
38	79.9	77.4	82.6	73.6	69.4	77.3
39	80	77.4	82.6	73.7	69.6	77.4
40	80	77.5	82.6	73.8	69.7	77.5
41	80.1	77.6	82.7	74	69.9	77.5
42	80.1	77.6	82.7	74.1	70.1	77.6
43	80.2	77.7	82.8	74.2	70.3	77.7
44	80.2	77.8	82.8	74.4	70.5	77.8
45	80.3	77.8	82.9	74.5	70.7	77.9
46	80.4	77.9	82.9	74.7	70.9	78
47	80.5	78	83	74.9	71.1	78.1
48	80.5	78.1	83	75.1	71.3	78.2
49	80.6	78.2	83.1	75.2	71.6	78.3
50	80.7	78.3	83.1	75.4	71.9	78.4
51	80.8	78.4	83.2	75.7	72.1	78.6
52	80.9	78.6	83.3	75.9	72.4	78.7
53	81	78.7	83.3	76.1	72.7	78.8
54	81.1	78.9	83.4	76.3	73	79
55	81.3	79	83.5	76.6	73.3	79.2
56	81.4	79.2	83.6	76.8	73.7	79.3
57	81.5	79.3	83.7	77.1	74	79.5
58	81.6	79.5	83.8	77.4	74.4	79.7
59	81.8	79.7	83.9	77.7	74.7	79.9
60	81.9	79.9	84	78	75.1	80.1
61	82.1	80.1	84.1	78.3	75.5	80.3
62	82.3	80.3	84.2	78.7	76	80.6
63	82.5	80.6	84.4	79	76.4	80.8
64	82.7	80.8	84.5	79.4	76.9	81.1
65	82.9	81.1	84.7	79.7	77.3	81.3
66	83.2	81.4	84.9	80.1	77.8	81.6
67	83.4	81.7	85	80.5	78.2	81.9
68	83.7	82	85.2	80.9	78.7	82.2
69	84	82.4	85.4	81.3	79.2	82.5
70	84.2	82.7	85.6	81.7	79.7	82.9
71	84.5	83.1	85.9	82.1	80.1	83.3
72	84.9	83.4	86.1	82.5	80.6	83.6
73	85.2	83.8	86.4	83	81.1	84.1
74	85.5	84.2	86.7	83.5	81.7	84.5
75	85.9	84.6	87	84	82.2	85
76	86.3	85.1	87.3	84.6	82.8	85.5
77	86.7	85.5	87.6	85.2	83.4	86
78	87.1	86	87.9	85.7	84.1	86.5
79	87.5	86.4	88.3	86.3	84.7	87
80	87.9	87	88.7	87	85.4	87.6
81	88.4	87.5	89.1	87.6	86.1	88.2
82	88.9	88	89.6	88.2	86.8	88.8
83	89.5	88.6	90.1	88.9	87.5	89.4
84	90	89.2	90.6	89.6	88.3	90
85	90.6	89.8	91.1	90.3	89	90.7
86	91.2	90.5	91.7	91	89.8	91.4
87	91.9	91.1	92.3	91.7	90.6	92
88	92.5	91.8	92.9	92.5	91.4	92.7
89	93.2	92.5	93.5	93.2	92.2	93.5
90	93.8	93.2	94.1	94	93	94.2
91	94.5	93.9	94.8	94.8	93.8	95
92	95.2	94.7	95.4	95.6	94.7	95.7
93	96	95.4	96.2	96.4	95.5	96.5
94	96.7	96.2	96.9	97.2	96.4	97.3
95	97.6	97	97.7	98	97.3	98.1
96	98.4	97.8	98.5	98.9	98.2	99
97	99.2	98.7	99.4	99.7	99.1	99.8
98	100.1	99.6	100.2	100.6	100	100.7
99	101	100.5	101.1	101.5	100.9	101.5
100	102	101.7	102	102.4	101.8	102.4

Odds of living to age in China vs Moldova

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 90.9% in China and 80% in Moldova are expected to survive till at least 60 years old, 79.7% and 61.9% will live to 70 years or older, 55.8% and 33.9% to 80+ years, and 18.6% and 8.67% 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			Moldova
	Average	Male	Female	Average	Male	Female
1	99.4%	99.3%	99.5%	99%	98.9%	99.2%
2	99.3%	99.3%	99.4%	99%	98.8%	99.1%
3	99.3%	99.2%	99.4%	98.9%	98.8%	99.1%
4	99.3%	99.2%	99.3%	98.9%	98.7%	99%
5	99.2%	99.2%	99.3%	98.9%	98.7%	99%
6	99.2%	99.2%	99.3%	98.8%	98.7%	99%
7	99.2%	99.1%	99.3%	98.8%	98.6%	99%
8	99.2%	99.1%	99.2%	98.8%	98.6%	99%
9	99.1%	99.1%	99.2%	98.8%	98.6%	98.9%
10	99.1%	99%	99.2%	98.7%	98.6%	98.9%
11	99.1%	99%	99.2%	98.7%	98.6%	98.9%
12	99%	99%	99.1%	98.7%	98.5%	98.9%
13	99%	98.9%	99.1%	98.7%	98.5%	98.9%
14	99%	98.9%	99.1%	98.7%	98.5%	98.8%
15	99%	98.9%	99.1%	98.6%	98.4%	98.8%
16	98.9%	98.8%	99%	98.6%	98.4%	98.8%
17	98.9%	98.8%	99%	98.5%	98.3%	98.8%
18	98.9%	98.7%	99%	98.5%	98.3%	98.7%
19	98.8%	98.7%	99%	98.4%	98.2%	98.7%
20	98.8%	98.6%	98.9%	98.4%	98.1%	98.7%
21	98.7%	98.6%	98.9%	98.3%	98%	98.6%
22	98.7%	98.5%	98.8%	98.3%	97.9%	98.6%
23	98.6%	98.4%	98.8%	98.2%	97.8%	98.6%
24	98.5%	98.4%	98.8%	98.1%	97.7%	98.6%
25	98.5%	98.3%	98.7%	98%	97.6%	98.5%
26	98.4%	98.2%	98.7%	97.9%	97.4%	98.5%
27	98.3%	98.1%	98.6%	97.9%	97.3%	98.4%
28	98.3%	98%	98.6%	97.8%	97.1%	98.4%
29	98.2%	97.9%	98.5%	97.6%	97%	98.3%
30	98.1%	97.8%	98.5%	97.5%	96.8%	98.3%
31	98.1%	97.8%	98.4%	97.4%	96.6%	98.2%
32	98%	97.7%	98.3%	97.3%	96.4%	98.1%
33	97.9%	97.6%	98.3%	97.1%	96.1%	98%
34	97.8%	97.5%	98.2%	96.9%	95.9%	98%
35	97.7%	97.4%	98.2%	96.7%	95.6%	97.9%
36	97.7%	97.3%	98.1%	96.5%	95.3%	97.7%
37	97.6%	97.2%	98%	96.3%	94.9%	97.6%
38	97.5%	97%	98%	96%	94.5%	97.5%
39	97.4%	96.9%	97.9%	95.7%	94%	97.3%
40	97.3%	96.8%	97.8%	95.3%	93.6%	97.1%
41	97.2%	96.6%	97.7%	95%	93%	96.9%
42	97%	96.5%	97.7%	94.6%	92.5%	96.7%
43	96.9%	96.3%	97.6%	94.2%	91.8%	96.5%
44	96.7%	96%	97.4%	93.7%	91.2%	96.2%
45	96.5%	95.8%	97.3%	93.2%	90.5%	96%
46	96.3%	95.6%	97.2%	92.7%	89.7%	95.7%
47	96.1%	95.3%	97.1%	92.1%	88.9%	95.4%
48	95.9%	95%	96.9%	91.5%	88%	95%
49	95.7%	94.7%	96.8%	90.9%	87%	94.6%
50	95.4%	94.3%	96.6%	90.2%	86%	94.2%
51	95.1%	93.9%	96.4%	89.4%	84.9%	93.8%
52	94.7%	93.4%	96.2%	88.6%	83.7%	93.4%
53	94.4%	92.9%	95.9%	87.8%	82.5%	92.8%
54	94%	92.4%	95.7%	86.9%	81.2%	92.3%
55	93.5%	91.8%	95.4%	85.9%	79.8%	91.7%
56	93.1%	91.2%	95.1%	84.9%	78.4%	91.1%
57	92.6%	90.5%	94.8%	83.8%	76.8%	90.3%
58	92.1%	89.9%	94.5%	82.6%	75.2%	89.5%
59	91.5%	89.1%	94.1%	81.3%	73.5%	88.7%
60	90.9%	88.3%	93.7%	80%	71.7%	87.8%
61	90.2%	87.3%	93.2%	78.5%	69.7%	86.8%
62	89.4%	86.2%	92.7%	77%	67.7%	85.7%
63	88.5%	85%	92.1%	75.3%	65.5%	84.5%
64	87.5%	83.7%	91.4%	73.6%	63.3%	83.3%
65	86.4%	82.3%	90.7%	71.9%	61%	82%
66	85.2%	80.8%	89.9%	70%	58.7%	80.6%
67	84%	79.2%	89%	68.1%	56.4%	79.1%
68	82.6%	77.5%	88.1%	66.2%	54.1%	77.5%
69	81.2%	75.7%	87.1%	64.1%	51.7%	75.7%
70	79.7%	73.8%	85.9%	61.9%	49.3%	73.7%
71	78%	71.6%	84.6%	59.7%	46.9%	71.6%
72	76.1%	69.4%	83.1%	57.2%	44.3%	69.3%
73	74.1%	67%	81.5%	54.6%	41.7%	66.7%
74	72%	64.5%	79.8%	51.9%	38.9%	64%
75	69.7%	61.9%	77.9%	49.1%	36.1%	61.2%
76	67.3%	59.1%	75.8%	46.2%	33.2%	58.2%
77	64.7%	56.2%	73.6%	43.1%	30.3%	55.1%
78	61.9%	53.1%	71.1%	40.1%	27.4%	51.9%
79	59%	49.9%	68.5%	37%	24.5%	48.6%
80	55.8%	46.5%	65.5%	33.9%	21.7%	45.2%
81	52.4%	43%	62.3%	30.9%	19%	41.8%
82	48.8%	39.3%	58.8%	27.9%	16.5%	38.4%
83	45.1%	35.6%	55.1%	25%	14.1%	35%
84	41.2%	31.8%	51.1%	22.2%	11.9%	31.6%
85	37.2%	28.1%	46.9%	19.5%	9.96%	28.2%
86	33.3%	24.5%	42.6%	17%	8.17%	25%
87	29.4%	21%	38.3%	14.6%	6.59%	21.9%
88	25.6%	17.8%	34%	12.5%	5.23%	18.9%
89	22%	14.7%	29.9%	10.5%	4.07%	16.2%
90	18.6%	11.9%	25.7%	8.67%	3.11%	13.6%
91	15.4%	9.4%	21.8%	7.08%	2.33%	11.3%
92	12.5%	7.21%	18.1%	5.69%	1.71%	9.27%
93	9.8%	5.34%	14.6%	4.51%	1.23%	7.46%
94	7.45%	3.81%	11.3%	3.51%	0.86%	5.9%
95	5.48%	2.6%	8.53%	2.68%	0.59%	4.58%
96	3.9%	1.69%	6.25%	2.01%	0.39%	3.49%
97	2.69%	1.03%	4.44%	1.48%	0.25%	2.6%
98	1.79%	0.59%	3.04%	1.06%	0.16%	1.9%
99	1.14%	0.31%	2.01%	0.75%	0.1%	1.36%
100	0.7%	0.15%	1.28%	0.52%	0.06%	0.95%

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 0.96% in Moldova, 0.08% vs 0.13% at age 30, 0.78% vs 1.82% at 60, and 6.06% vs 8.94% at 80.

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

Table

Age	Probability of dying
	China			Moldova
	Average	Male	Female	Average	Male	Female
0	0.6%	0.66%	0.54%	0.96%	1.09%	0.81%
1	0.05%	0.05%	0.05%	0.07%	0.07%	0.07%
2	0.04%	0.04%	0.04%	0.05%	0.06%	0.05%
3	0.03%	0.03%	0.03%	0.04%	0.04%	0.04%
4	0.03%	0.03%	0.03%	0.03%	0.04%	0.03%
5	0.02%	0.02%	0.02%	0.03%	0.03%	0.02%
6	0.03%	0.03%	0.02%	0.02%	0.02%	0.02%
7	0.03%	0.03%	0.02%	0.02%	0.02%	0.02%
8	0.03%	0.03%	0.03%	0.02%	0.02%	0.02%
9	0.03%	0.03%	0.03%	0.02%	0.02%	0.02%
10	0.03%	0.04%	0.02%	0.02%	0.02%	0.02%
11	0.03%	0.04%	0.02%	0.02%	0.02%	0.02%
12	0.03%	0.04%	0.02%	0.03%	0.03%	0.02%
13	0.03%	0.04%	0.02%	0.03%	0.03%	0.02%
14	0.03%	0.04%	0.02%	0.03%	0.04%	0.03%
15	0.03%	0.04%	0.02%	0.04%	0.05%	0.03%
16	0.03%	0.04%	0.03%	0.04%	0.06%	0.03%
17	0.04%	0.05%	0.03%	0.05%	0.07%	0.03%
18	0.04%	0.05%	0.03%	0.05%	0.08%	0.03%
19	0.04%	0.05%	0.03%	0.06%	0.09%	0.03%
20	0.05%	0.06%	0.04%	0.06%	0.1%	0.03%
21	0.05%	0.07%	0.04%	0.07%	0.1%	0.03%
22	0.06%	0.07%	0.05%	0.07%	0.11%	0.03%
23	0.06%	0.08%	0.05%	0.08%	0.12%	0.03%
24	0.07%	0.08%	0.05%	0.08%	0.12%	0.04%
25	0.07%	0.08%	0.05%	0.09%	0.13%	0.04%
26	0.07%	0.09%	0.05%	0.09%	0.15%	0.05%
27	0.07%	0.09%	0.05%	0.1%	0.16%	0.05%
28	0.07%	0.09%	0.05%	0.11%	0.17%	0.06%
29	0.07%	0.09%	0.05%	0.12%	0.19%	0.06%
30	0.08%	0.1%	0.05%	0.13%	0.2%	0.07%
31	0.08%	0.1%	0.06%	0.15%	0.22%	0.08%
32	0.08%	0.1%	0.06%	0.16%	0.24%	0.08%
33	0.08%	0.1%	0.06%	0.18%	0.27%	0.09%
34	0.08%	0.1%	0.06%	0.2%	0.3%	0.11%
35	0.08%	0.11%	0.06%	0.23%	0.34%	0.12%
36	0.09%	0.11%	0.06%	0.26%	0.38%	0.13%
37	0.09%	0.12%	0.07%	0.29%	0.43%	0.15%
38	0.1%	0.13%	0.07%	0.32%	0.47%	0.17%
39	0.11%	0.14%	0.08%	0.35%	0.52%	0.18%
40	0.12%	0.16%	0.09%	0.38%	0.57%	0.2%
41	0.14%	0.18%	0.09%	0.41%	0.62%	0.22%
42	0.15%	0.2%	0.1%	0.44%	0.67%	0.24%
43	0.17%	0.22%	0.11%	0.48%	0.72%	0.26%
44	0.18%	0.24%	0.12%	0.52%	0.78%	0.28%
45	0.2%	0.26%	0.13%	0.56%	0.85%	0.31%
46	0.21%	0.28%	0.14%	0.61%	0.92%	0.33%
47	0.23%	0.31%	0.15%	0.66%	1%	0.36%
48	0.25%	0.34%	0.16%	0.71%	1.08%	0.39%
49	0.29%	0.39%	0.18%	0.77%	1.18%	0.42%
50	0.32%	0.44%	0.2%	0.83%	1.28%	0.45%
51	0.36%	0.5%	0.23%	0.89%	1.38%	0.49%
52	0.4%	0.55%	0.25%	0.96%	1.48%	0.54%
53	0.43%	0.59%	0.27%	1.04%	1.58%	0.59%
54	0.46%	0.63%	0.29%	1.12%	1.69%	0.65%
55	0.48%	0.66%	0.31%	1.21%	1.81%	0.71%
56	0.51%	0.7%	0.32%	1.3%	1.94%	0.79%
57	0.55%	0.76%	0.35%	1.41%	2.1%	0.87%
58	0.61%	0.83%	0.38%	1.54%	2.28%	0.96%
59	0.68%	0.94%	0.43%	1.67%	2.49%	1.05%
60	0.78%	1.07%	0.49%	1.82%	2.72%	1.14%
61	0.89%	1.23%	0.57%	1.97%	2.96%	1.24%
62	1.01%	1.39%	0.64%	2.12%	3.18%	1.34%
63	1.13%	1.55%	0.73%	2.26%	3.39%	1.45%
64	1.25%	1.71%	0.81%	2.4%	3.58%	1.57%
65	1.35%	1.85%	0.89%	2.54%	3.76%	1.7%
66	1.46%	2%	0.97%	2.7%	3.93%	1.86%
67	1.58%	2.15%	1.06%	2.89%	4.13%	2.06%
68	1.69%	2.29%	1.14%	3.11%	4.37%	2.3%
69	1.87%	2.53%	1.29%	3.38%	4.66%	2.58%
70	2.18%	2.89%	1.56%	3.7%	5.01%	2.9%
71	2.41%	3.16%	1.76%	4.08%	5.44%	3.27%
72	2.6%	3.4%	1.92%	4.5%	5.96%	3.66%
73	2.86%	3.73%	2.14%	4.97%	6.56%	4.06%
74	3.16%	4.11%	2.38%	5.46%	7.24%	4.47%
75	3.48%	4.51%	2.65%	5.98%	8%	4.89%
76	3.84%	4.94%	2.95%	6.53%	8.81%	5.33%
77	4.28%	5.45%	3.32%	7.09%	9.66%	5.8%
78	4.78%	6.05%	3.75%	7.66%	10.5%	6.32%
79	5.36%	6.75%	4.28%	8.28%	11.4%	6.89%
80	6.06%	7.57%	4.9%	8.94%	12.3%	7.52%
81	6.85%	8.5%	5.61%	9.65%	13.3%	8.21%
82	7.71%	9.5%	6.41%	10.4%	14.3%	8.95%
83	8.63%	10.6%	7.26%	11.2%	15.4%	9.74%
84	9.58%	11.7%	8.15%	12.1%	16.7%	10.6%
85	10.6%	12.9%	9.09%	13%	17.9%	11.5%
86	11.7%	14.2%	10.1%	13.9%	19.3%	12.4%
87	12.8%	15.6%	11.2%	14.9%	20.7%	13.4%
88	14.1%	17.2%	12.3%	16%	22.1%	14.5%
89	15.6%	19%	13.7%	17.1%	23.6%	15.7%
90	17.2%	21.1%	15.3%	18.3%	25.1%	16.9%
91	19%	23.3%	17.1%	19.6%	26.6%	18.2%
92	21.4%	25.9%	19.5%	20.9%	28.3%	19.5%
93	24%	28.7%	22.2%	22.2%	30%	20.9%
94	26.5%	31.8%	24.6%	23.6%	31.6%	22.3%
95	28.8%	35.1%	26.8%	25%	33.3%	23.8%
96	31.1%	38.8%	28.9%	26.5%	34.9%	25.4%
97	33.6%	42.9%	31.4%	28%	36.6%	27%
98	36.2%	47.2%	34%	29.5%	38.3%	28.6%
99	38.5%	51.9%	36.5%	31%	40%	30.3%
100	41%	55.8%	38.9%	32.5%	41.6%	31.9%

Death rate by age in China compared to Moldova

In China, the most common age of death is 84, compared to 78 in Moldova. The median age of death is 81.7 in China and 74.7 in Moldova — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	China			Moldova
	Total	Male	Female	Total	Male	Female
0	604	659	543	959	1,095	814
1	51.2	52.7	49.5	68.9	70.2	67.5
2	40.1	40.2	40	51.8	55.1	48.2
3	32.8	32.7	32.9	39.4	43.5	35
4	27.2	27	27.4	30.7	35	26.2
5	24.7	24.8	24.6	24.7	28.7	20.4
6	24.9	25.7	23.9	20.8	24.4	17
7	26.7	28.6	24.6	18.7	21.7	15.4
8	29	32	25.6	18.1	20.5	15.4
9	30.4	34.5	25.8	18.6	20.6	16.4
10	30.5	35.4	24.7	19.9	21.6	18.1
11	30.3	36.2	23.5	22.1	23.9	20.2
12	31	37.7	23.2	25.1	27.5	22.5
13	31.5	38.7	23	28.7	32.8	24.5
14	31.9	39.4	23.1	33	40	25.9
15	32.8	40.5	23.7	37.8	49	26.7
16	34.3	42.1	25	42.9	59.3	26.9
17	36.5	44.6	27	48.3	70	27
18	39.7	48.1	29.8	53.3	80	27.1
19	43.7	52.8	33.1	57.7	88.6	27.6
20	48.5	58.2	36.9	61.5	95.5	28.4
21	53.5	64.1	40.9	65.1	101.2	29.6
22	58.2	69.8	44.5	69.1	107	31.4
23	62.1	74.7	47.3	73.7	113.5	33.7
24	65	78.6	49.1	79.2	121.5	36.7
25	66.9	81.5	50	85.6	131.1	40.2
26	68.9	84.5	50.7	93	142.2	44.4
27	70.7	87.3	51.4	101.2	154.4	49.1
28	72	89.3	51.9	109.8	167.5	54.3
29	73.2	91.1	52.7	119.4	181.6	60.2
30	74.9	93.3	54	130.2	197	66.7
31	76.6	95.3	55.3	142.7	214.7	74.1
32	77.9	96.9	56.3	157.6	235.6	82.6
33	79	98.3	57.2	175.2	260.6	92.4
34	80.4	100.2	58.3	196.1	290.3	103.6
35	82.7	103	60.1	220.3	324	116.3
36	86.2	107.5	62.7	246.7	363	130.4
37	91.5	114.5	66.3	274.9	403	145.4
38	99	124.6	71.1	304	445	161.2
39	108.7	138	77.1	333	488	177.5
40	120.6	154.2	84.3	362	530	194.4
41	134	172.6	92.5	391	573	211.9
42	147.8	191.9	100.8	420	617	230.4
43	161.7	211	109.2	452	663	250.1
44	175.4	229.8	117.7	486	712	271.1
45	189.6	249.1	126.4	523	766	293.6
46	204.7	270.2	135.2	562	824	317
47	221.7	294.3	144.8	605	887	343
48	243.7	325	157.5	651	954	369
49	273.2	366	175.4	699	1,025	397
50	309	414	197.7	749	1,097	428
51	347	466	221.9	800	1,169	463
52	382	513	244.4	852	1,239	502
53	410	551	263.4	910	1,307	546
54	433	580	278.4	972	1,375	597
55	453	608	292.3	1,036	1,446	655
56	478	641	309	1,106	1,524	718
57	511	685	331	1,183	1,615	785
58	559	750	362	1,268	1,718	856
59	626	840	405	1,359	1,833	928
60	709	948	461	1,453	1,951	1,002
61	804	1,070	527	1,544	2,061	1,075
62	905	1,202	597	1,628	2,154	1,149
63	1,003	1,322	672	1,704	2,222	1,225
64	1,091	1,428	743	1,769	2,267	1,306
65	1,168	1,521	804	1,825	2,293	1,397
66	1,247	1,612	871	1,891	2,311	1,503
67	1,329	1,701	947	1,970	2,331	1,629
68	1,396	1,776	1,007	2,059	2,362	1,778
69	1,523	1,912	1,126	2,166	2,408	1,950
70	1,738	2,131	1,338	2,293	2,472	2,141
71	1,877	2,265	1,486	2,432	2,551	2,340
72	1,980	2,362	1,598	2,576	2,641	2,534
73	2,120	2,502	1,741	2,715	2,734	2,711
74	2,277	2,655	1,902	2,835	2,820	2,864
75	2,425	2,787	2,061	2,935	2,888	2,991
76	2,587	2,920	2,238	3,015	2,927	3,100
77	2,768	3,062	2,439	3,061	2,926	3,195
78	2,961	3,212	2,668	3,072	2,881	3,278
79	3,164	3,368	2,927	3,065	2,795	3,349
80	3,383	3,522	3,211	3,034	2,674	3,404
81	3,591	3,652	3,498	2,984	2,528	3,436
82	3,765	3,736	3,768	2,912	2,362	3,439
83	3,888	3,760	3,998	2,813	2,182	3,406
84	3,946	3,719	4,161	2,683	1,990	3,338
85	3,943	3,619	4,261	2,530	1,787	3,235
86	3,888	3,470	4,305	2,362	1,577	3,102
87	3,776	3,279	4,280	2,180	1,365	2,941
88	3,612	3,052	4,196	1,990	1,157	2,754
89	3,426	2,794	4,102	1,792	960	2,543
90	3,198	2,507	3,943	1,589	780	2,312
91	2,931	2,194	3,721	1,386	621	2,067
92	2,669	1,866	3,528	1,187	484	1,812
93	2,354	1,533	3,234	1,000	368	1,559
94	1,973	1,209	2,791	826	271.8	1,317
95	1,576	912	2,287	669	195.4	1,091
96	1,211	654	1,807	532	136.9	886
97	903	442	1,395	414	93.4	703
98	646	278.4	1,036	314	61.9	544
99	439	161.6	732	232.7	39.8	411
100	102.8	0	287.1	105.1	0	216.3

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 Moldova 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 Moldova: Data-driven Comparison

By topic vs comparisons:

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