Life Expectancy in China vs Eswatini (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 Eswatini: 79.6 years vs 69.8 at 30, 82.9 vs 79.3 at 65, 87.9 vs 87 at 80 — significantly higher than the 78.4 vs 64.4 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 Eswatini.

Table

Current age, years	Total life expectancy, years
	China			Eswatini
	Average	Male	Female	Average	Male	Female
0	78.4	75.7	81.2	64.4	61.4	67.3
1	78.8	76.2	81.7	66.8	64	69.5
2	78.9	76.2	81.7	67.2	64.3	69.9
3	78.9	76.2	81.8	67.4	64.5	70.1
4	78.9	76.2	81.8	67.5	64.7	70.3
5	79	76.3	81.8	67.6	64.8	70.4
6	79	76.3	81.8	67.7	64.8	70.4
7	79	76.3	81.8	67.8	64.9	70.5
8	79	76.3	81.9	67.8	65	70.6
9	79	76.3	81.9	67.9	65	70.6
10	79.1	76.4	81.9	67.9	65	70.7
11	79.1	76.4	81.9	68	65.1	70.7
12	79.1	76.4	81.9	68	65.1	70.7
13	79.1	76.4	82	68	65.2	70.8
14	79.1	76.5	82	68.1	65.2	70.8
15	79.2	76.5	82	68.1	65.3	70.9
16	79.2	76.5	82	68.2	65.3	70.9
17	79.2	76.5	82	68.3	65.4	71
18	79.2	76.6	82	68.3	65.5	71.1
19	79.3	76.6	82.1	68.4	65.6	71.1
20	79.3	76.6	82.1	68.5	65.7	71.2
21	79.3	76.7	82.1	68.6	65.8	71.3
22	79.3	76.7	82.1	68.7	65.9	71.4
23	79.4	76.7	82.1	68.8	66.1	71.5
24	79.4	76.8	82.2	69	66.2	71.6
25	79.4	76.8	82.2	69.1	66.3	71.7
26	79.5	76.9	82.2	69.2	66.5	71.8
27	79.5	76.9	82.3	69.3	66.6	71.9
28	79.6	76.9	82.3	69.5	66.8	72
29	79.6	77	82.3	69.6	67	72.1
30	79.6	77	82.3	69.8	67.1	72.2
31	79.7	77.1	82.4	69.9	67.3	72.3
32	79.7	77.1	82.4	70.1	67.5	72.5
33	79.7	77.2	82.4	70.2	67.6	72.6
34	79.8	77.2	82.5	70.4	67.8	72.7
35	79.8	77.3	82.5	70.6	68	72.9
36	79.9	77.3	82.5	70.7	68.2	73
37	79.9	77.3	82.5	70.9	68.5	73.2
38	79.9	77.4	82.6	71.1	68.7	73.3
39	80	77.4	82.6	71.3	68.9	73.5
40	80	77.5	82.6	71.5	69.1	73.7
41	80.1	77.6	82.7	71.7	69.4	73.8
42	80.1	77.6	82.7	72	69.6	74
43	80.2	77.7	82.8	72.2	69.9	74.2
44	80.2	77.8	82.8	72.4	70.2	74.4
45	80.3	77.8	82.9	72.7	70.4	74.6
46	80.4	77.9	82.9	72.9	70.7	74.8
47	80.5	78	83	73.2	71	75
48	80.5	78.1	83	73.4	71.3	75.2
49	80.6	78.2	83.1	73.7	71.6	75.4
50	80.7	78.3	83.1	74	72	75.6
51	80.8	78.4	83.2	74.3	72.3	75.9
52	80.9	78.6	83.3	74.6	72.6	76.1
53	81	78.7	83.3	74.9	73	76.4
54	81.1	78.9	83.4	75.2	73.4	76.6
55	81.3	79	83.5	75.5	73.7	76.9
56	81.4	79.2	83.6	75.8	74.1	77.1
57	81.5	79.3	83.7	76.2	74.5	77.4
58	81.6	79.5	83.8	76.5	74.9	77.7
59	81.8	79.7	83.9	76.9	75.3	78
60	81.9	79.9	84	77.2	75.8	78.3
61	82.1	80.1	84.1	77.6	76.2	78.7
62	82.3	80.3	84.2	78	76.7	79
63	82.5	80.6	84.4	78.4	77.1	79.3
64	82.7	80.8	84.5	78.8	77.6	79.7
65	82.9	81.1	84.7	79.3	78.1	80.1
66	83.2	81.4	84.9	79.7	78.7	80.5
67	83.4	81.7	85	80.2	79.2	80.9
68	83.7	82	85.2	80.7	79.7	81.3
69	84	82.4	85.4	81.1	80.3	81.8
70	84.2	82.7	85.6	81.6	80.8	82.2
71	84.5	83.1	85.9	82.1	81.4	82.7
72	84.9	83.4	86.1	82.6	81.9	83.1
73	85.2	83.8	86.4	83.1	82.5	83.6
74	85.5	84.2	86.7	83.7	83	84.1
75	85.9	84.6	87	84.2	83.6	84.6
76	86.3	85.1	87.3	84.7	84.2	85.1
77	86.7	85.5	87.6	85.3	84.8	85.6
78	87.1	86	87.9	85.8	85.4	86.1
79	87.5	86.4	88.3	86.4	86	86.6
80	87.9	87	88.7	87	86.6	87.2
81	88.4	87.5	89.1	87.5	87.2	87.7
82	88.9	88	89.6	88.1	87.8	88.3
83	89.5	88.6	90.1	88.7	88.4	88.9
84	90	89.2	90.6	89.4	89.1	89.5
85	90.6	89.8	91.1	90	89.8	90.2
86	91.2	90.5	91.7	90.7	90.5	90.8
87	91.9	91.1	92.3	91.4	91.2	91.5
88	92.5	91.8	92.9	92.1	92	92.2
89	93.2	92.5	93.5	92.9	92.7	93
90	93.8	93.2	94.1	93.6	93.5	93.7
91	94.5	93.9	94.8	94.4	94.3	94.5
92	95.2	94.7	95.4	95.2	95.1	95.3
93	96	95.4	96.2	96	95.9	96.1
94	96.7	96.2	96.9	96.8	96.8	96.9
95	97.6	97	97.7	97.7	97.6	97.7
96	98.4	97.8	98.5	98.5	98.5	98.6
97	99.2	98.7	99.4	99.4	99.3	99.4
98	100.1	99.6	100.2	100.3	100.2	100.3
99	101	100.5	101.1	101.1	101.1	101.2
100	102	101.7	102	102	101.9	102.1

Odds of living to age in China vs Eswatini

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 90.9% in China and 67.4% in Eswatini are expected to survive till at least 60 years old, 79.7% and 49.2% will live to 70 years or older, 55.8% and 27.2% to 80+ years, and 18.6% and 6.86% 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			Eswatini
	Average	Male	Female	Average	Male	Female
1	99.4%	99.3%	99.5%	96.3%	96%	96.7%
2	99.3%	99.3%	99.4%	95.9%	95.5%	96.2%
3	99.3%	99.2%	99.4%	95.6%	95.2%	95.9%
4	99.3%	99.2%	99.3%	95.3%	95%	95.7%
5	99.2%	99.2%	99.3%	95.2%	94.8%	95.5%
6	99.2%	99.2%	99.3%	95.1%	94.7%	95.4%
7	99.2%	99.1%	99.3%	95%	94.6%	95.3%
8	99.2%	99.1%	99.2%	94.9%	94.5%	95.2%
9	99.1%	99.1%	99.2%	94.8%	94.4%	95.2%
10	99.1%	99%	99.2%	94.7%	94.4%	95.1%
11	99.1%	99%	99.2%	94.7%	94.3%	95%
12	99%	99%	99.1%	94.6%	94.2%	95%
13	99%	98.9%	99.1%	94.5%	94.1%	94.9%
14	99%	98.9%	99.1%	94.4%	94%	94.8%
15	99%	98.9%	99.1%	94.3%	93.9%	94.7%
16	98.9%	98.8%	99%	94.2%	93.8%	94.6%
17	98.9%	98.8%	99%	94.1%	93.7%	94.5%
18	98.9%	98.7%	99%	94%	93.5%	94.4%
19	98.8%	98.7%	99%	93.8%	93.3%	94.3%
20	98.8%	98.6%	98.9%	93.6%	93.1%	94.2%
21	98.7%	98.6%	98.9%	93.4%	92.9%	94%
22	98.7%	98.5%	98.8%	93.2%	92.6%	93.8%
23	98.6%	98.4%	98.8%	93%	92.3%	93.7%
24	98.5%	98.4%	98.8%	92.8%	92%	93.5%
25	98.5%	98.3%	98.7%	92.5%	91.7%	93.3%
26	98.4%	98.2%	98.7%	92.2%	91.4%	93.1%
27	98.3%	98.1%	98.6%	92%	91.1%	92.9%
28	98.3%	98%	98.6%	91.7%	90.7%	92.6%
29	98.2%	97.9%	98.5%	91.4%	90.4%	92.4%
30	98.1%	97.8%	98.5%	91%	90%	92.1%
31	98.1%	97.8%	98.4%	90.7%	89.5%	91.9%
32	98%	97.7%	98.3%	90.3%	89.1%	91.6%
33	97.9%	97.6%	98.3%	89.9%	88.6%	91.3%
34	97.8%	97.5%	98.2%	89.5%	88.1%	91%
35	97.7%	97.4%	98.2%	89.1%	87.6%	90.6%
36	97.7%	97.3%	98.1%	88.7%	87.1%	90.3%
37	97.6%	97.2%	98%	88.2%	86.5%	89.9%
38	97.5%	97%	98%	87.7%	85.9%	89.5%
39	97.4%	96.9%	97.9%	87.1%	85.2%	89.1%
40	97.3%	96.8%	97.8%	86.6%	84.5%	88.7%
41	97.2%	96.6%	97.7%	86%	83.8%	88.2%
42	97%	96.5%	97.7%	85.4%	83.1%	87.7%
43	96.9%	96.3%	97.6%	84.7%	82.3%	87.2%
44	96.7%	96%	97.4%	84%	81.5%	86.7%
45	96.5%	95.8%	97.3%	83.3%	80.6%	86.1%
46	96.3%	95.6%	97.2%	82.6%	79.7%	85.5%
47	96.1%	95.3%	97.1%	81.8%	78.7%	84.9%
48	95.9%	95%	96.9%	80.9%	77.7%	84.3%
49	95.7%	94.7%	96.8%	80.1%	76.7%	83.6%
50	95.4%	94.3%	96.6%	79.1%	75.6%	82.9%
51	95.1%	93.9%	96.4%	78.2%	74.4%	82.1%
52	94.7%	93.4%	96.2%	77.2%	73.2%	81.3%
53	94.4%	92.9%	95.9%	76.1%	71.9%	80.4%
54	94%	92.4%	95.7%	75%	70.6%	79.5%
55	93.5%	91.8%	95.4%	73.9%	69.2%	78.6%
56	93.1%	91.2%	95.1%	72.7%	67.8%	77.6%
57	92.6%	90.5%	94.8%	71.4%	66.3%	76.6%
58	92.1%	89.9%	94.5%	70.2%	64.8%	75.5%
59	91.5%	89.1%	94.1%	68.8%	63.2%	74.3%
60	90.9%	88.3%	93.7%	67.4%	61.6%	73.1%
61	90.2%	87.3%	93.2%	65.9%	59.8%	71.8%
62	89.4%	86.2%	92.7%	64.3%	58%	70.4%
63	88.5%	85%	92.1%	62.7%	56.1%	68.9%
64	87.5%	83.7%	91.4%	60.9%	54.2%	67.3%
65	86.4%	82.3%	90.7%	59.1%	52.1%	65.7%
66	85.2%	80.8%	89.9%	57.2%	50%	63.9%
67	84%	79.2%	89%	55.3%	47.9%	62.1%
68	82.6%	77.5%	88.1%	53.3%	45.9%	60.2%
69	81.2%	75.7%	87.1%	51.3%	43.8%	58.2%
70	79.7%	73.8%	85.9%	49.2%	41.7%	56.2%
71	78%	71.6%	84.6%	47.1%	39.5%	54.1%
72	76.1%	69.4%	83.1%	45%	37.4%	52%
73	74.1%	67%	81.5%	42.8%	35.3%	49.8%
74	72%	64.5%	79.8%	40.6%	33.2%	47.5%
75	69.7%	61.9%	77.9%	38.4%	31.1%	45.2%
76	67.3%	59.1%	75.8%	36.1%	29.1%	42.8%
77	64.7%	56.2%	73.6%	33.9%	27%	40.4%
78	61.9%	53.1%	71.1%	31.7%	25%	37.9%
79	59%	49.9%	68.5%	29.4%	23%	35.4%
80	55.8%	46.5%	65.5%	27.2%	21%	33%
81	52.4%	43%	62.3%	25%	19.1%	30.4%
82	48.8%	39.3%	58.8%	22.8%	17.2%	27.9%
83	45.1%	35.6%	55.1%	20.5%	15.4%	25.3%
84	41.2%	31.8%	51.1%	18.3%	13.5%	22.7%
85	37.2%	28.1%	46.9%	16.1%	11.8%	20.1%
86	33.3%	24.5%	42.6%	14%	10.1%	17.6%
87	29.4%	21%	38.3%	12%	8.57%	15.1%
88	25.6%	17.8%	34%	10.1%	7.14%	12.9%
89	22%	14.7%	29.9%	8.39%	5.86%	10.8%
90	18.6%	11.9%	25.7%	6.86%	4.73%	8.86%
91	15.4%	9.4%	21.8%	5.5%	3.75%	7.15%
92	12.5%	7.21%	18.1%	4.33%	2.91%	5.68%
93	9.8%	5.34%	14.6%	3.34%	2.21%	4.41%
94	7.45%	3.81%	11.3%	2.52%	1.65%	3.35%
95	5.48%	2.6%	8.53%	1.85%	1.2%	2.48%
96	3.9%	1.69%	6.25%	1.33%	0.85%	1.79%
97	2.69%	1.03%	4.44%	0.93%	0.59%	1.26%
98	1.79%	0.59%	3.04%	0.64%	0.4%	0.87%
99	1.14%	0.31%	2.01%	0.43%	0.26%	0.58%
100	0.7%	0.15%	1.28%	0.28%	0.17%	0.38%

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 3.65% in Eswatini, 0.08% vs 0.38% at age 30, 0.78% vs 2.23% at 60, and 6.06% vs 8.16% at 80.

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

Table

Age	Probability of dying
	China			Eswatini
	Average	Male	Female	Average	Male	Female
0	0.6%	0.66%	0.54%	3.65%	4.02%	3.28%
1	0.05%	0.05%	0.05%	0.51%	0.49%	0.53%
2	0.04%	0.04%	0.04%	0.32%	0.32%	0.32%
3	0.03%	0.03%	0.03%	0.22%	0.22%	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%	0.13%	0.1%
16	0.03%	0.04%	0.03%	0.13%	0.15%	0.11%
17	0.04%	0.05%	0.03%	0.15%	0.18%	0.12%
18	0.04%	0.05%	0.03%	0.17%	0.21%	0.14%
19	0.04%	0.05%	0.03%	0.19%	0.23%	0.15%
20	0.05%	0.06%	0.04%	0.21%	0.25%	0.16%
21	0.05%	0.07%	0.04%	0.22%	0.27%	0.17%
22	0.06%	0.07%	0.05%	0.24%	0.29%	0.18%
23	0.06%	0.08%	0.05%	0.26%	0.31%	0.2%
24	0.07%	0.08%	0.05%	0.27%	0.33%	0.21%
25	0.07%	0.08%	0.05%	0.29%	0.35%	0.22%
26	0.07%	0.09%	0.05%	0.3%	0.37%	0.24%
27	0.07%	0.09%	0.05%	0.32%	0.39%	0.25%
28	0.07%	0.09%	0.05%	0.34%	0.41%	0.26%
29	0.07%	0.09%	0.05%	0.36%	0.44%	0.28%
30	0.08%	0.1%	0.05%	0.38%	0.46%	0.3%
31	0.08%	0.1%	0.06%	0.4%	0.49%	0.31%
32	0.08%	0.1%	0.06%	0.42%	0.52%	0.33%
33	0.08%	0.1%	0.06%	0.45%	0.55%	0.35%
34	0.08%	0.1%	0.06%	0.48%	0.59%	0.37%
35	0.08%	0.11%	0.06%	0.51%	0.63%	0.39%
36	0.09%	0.11%	0.06%	0.54%	0.67%	0.41%
37	0.09%	0.12%	0.07%	0.57%	0.71%	0.44%
38	0.1%	0.13%	0.07%	0.61%	0.76%	0.46%
39	0.11%	0.14%	0.08%	0.65%	0.8%	0.49%
40	0.12%	0.16%	0.09%	0.69%	0.86%	0.52%
41	0.14%	0.18%	0.09%	0.72%	0.9%	0.54%
42	0.15%	0.2%	0.1%	0.76%	0.95%	0.58%
43	0.17%	0.22%	0.11%	0.8%	1%	0.61%
44	0.18%	0.24%	0.12%	0.85%	1.06%	0.64%
45	0.2%	0.26%	0.13%	0.91%	1.13%	0.68%
46	0.21%	0.28%	0.14%	0.96%	1.2%	0.72%
47	0.23%	0.31%	0.15%	1.01%	1.27%	0.76%
48	0.25%	0.34%	0.16%	1.08%	1.36%	0.81%
49	0.29%	0.39%	0.18%	1.15%	1.44%	0.87%
50	0.32%	0.44%	0.2%	1.23%	1.55%	0.93%
51	0.36%	0.5%	0.23%	1.28%	1.63%	0.98%
52	0.4%	0.55%	0.25%	1.37%	1.73%	1.05%
53	0.43%	0.59%	0.27%	1.44%	1.83%	1.11%
54	0.46%	0.63%	0.29%	1.53%	1.93%	1.18%
55	0.48%	0.66%	0.31%	1.61%	2.05%	1.26%
56	0.51%	0.7%	0.32%	1.7%	2.17%	1.34%
57	0.55%	0.76%	0.35%	1.81%	2.3%	1.43%
58	0.61%	0.83%	0.38%	1.94%	2.46%	1.54%
59	0.68%	0.94%	0.43%	2.05%	2.62%	1.65%
60	0.78%	1.07%	0.49%	2.23%	2.85%	1.8%
61	0.89%	1.23%	0.57%	2.37%	3.02%	1.93%
62	1.01%	1.39%	0.64%	2.58%	3.27%	2.11%
63	1.13%	1.55%	0.73%	2.78%	3.49%	2.28%
64	1.25%	1.71%	0.81%	2.99%	3.74%	2.48%
65	1.35%	1.85%	0.89%	3.22%	4.01%	2.7%
66	1.46%	2%	0.97%	3.38%	4.17%	2.85%
67	1.58%	2.15%	1.06%	3.58%	4.36%	3.03%
68	1.69%	2.29%	1.14%	3.79%	4.57%	3.24%
69	1.87%	2.53%	1.29%	3.99%	4.79%	3.45%
70	2.18%	2.89%	1.56%	4.28%	5.08%	3.73%
71	2.41%	3.16%	1.76%	4.5%	5.31%	3.94%
72	2.6%	3.4%	1.92%	4.85%	5.65%	4.28%
73	2.86%	3.73%	2.14%	5.15%	5.96%	4.57%
74	3.16%	4.11%	2.38%	5.48%	6.3%	4.91%
75	3.48%	4.51%	2.65%	5.82%	6.67%	5.27%
76	3.84%	4.94%	2.95%	6.19%	7.06%	5.65%
77	4.28%	5.45%	3.32%	6.58%	7.47%	6.04%
78	4.78%	6.05%	3.75%	7.08%	7.99%	6.55%
79	5.36%	6.75%	4.28%	7.53%	8.48%	7%
80	6.06%	7.57%	4.9%	8.16%	9.11%	7.66%
81	6.85%	8.5%	5.61%	8.87%	9.87%	8.34%
82	7.71%	9.5%	6.41%	9.9%	10.9%	9.35%
83	8.63%	10.6%	7.26%	10.9%	11.9%	10.3%
84	9.58%	11.7%	8.15%	12%	13%	11.4%
85	10.6%	12.9%	9.09%	13.1%	14.1%	12.5%
86	11.7%	14.2%	10.1%	14.4%	15.3%	13.8%
87	12.8%	15.6%	11.2%	15.6%	16.6%	15%
88	14.1%	17.2%	12.3%	16.9%	17.9%	16.3%
89	15.6%	19%	13.7%	18.3%	19.3%	17.7%
90	17.2%	21.1%	15.3%	19.9%	20.8%	19.3%
91	19%	23.3%	17.1%	21.2%	22.3%	20.6%
92	21.4%	25.9%	19.5%	22.9%	24%	22.4%
93	24%	28.7%	22.2%	24.6%	25.7%	24%
94	26.5%	31.8%	24.6%	26.3%	27.4%	25.8%
95	28.8%	35.1%	26.8%	28.1%	29%	27.8%
96	31.1%	38.8%	28.9%	29.9%	30.6%	29.5%
97	33.6%	42.9%	31.4%	31.6%	32.3%	31.3%
98	36.2%	47.2%	34%	33.2%	33.8%	32.9%
99	38.5%	51.9%	36.5%	35.3%	35.7%	35.1%
100	41%	55.8%	38.9%	36.9%	37.2%	36.7%

Death rate by age in China compared to Eswatini

In China, the most common age of death is 84, compared to 0 in Eswatini. The median age of death is 81.7 in China and 69.6 in Eswatini — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	China			Eswatini
	Total	Male	Female	Total	Male	Female
0	604	659	543	3,653	4,016	3,285
1	51.2	52.7	49.5	488	469	508
2	40.1	40.2	40	307	305	310
3	32.8	32.7	32.9	212.3	213.5	210.9
4	27.2	27	27.4	155.1	157.9	152.3
5	24.7	24.8	24.6	118.4	120.7	116.1
6	24.9	25.7	23.9	100.2	103.9	96.5
7	26.7	28.6	24.6	88.8	93.4	84
8	29	32	25.6	79.6	84.4	74.7
9	30.4	34.5	25.8	73.7	78.2	69.1
10	30.5	35.4	24.7	71.1	75.9	66.2
11	30.3	36.2	23.5	71.4	77.5	65.3
12	31	37.7	23.2	74.3	80.9	67.7
13	31.5	38.7	23	80.6	87.7	73.4
14	31.9	39.4	23.1	90.9	100.1	81.5
15	32.8	40.5	23.7	105.6	117.9	93.1
16	34.3	42.1	25	122.3	139.7	104.8
17	36.5	44.6	27	141.6	166.2	117
18	39.7	48.1	29.8	162.3	194.7	129.9
19	43.7	52.8	33.1	178.5	215.2	141.2
20	48.5	58.2	36.9	194.5	235.6	152.5
21	53.5	64.1	40.9	208.3	254.7	160.9
22	58.2	69.8	44.5	223.2	273.2	172
23	62.1	74.7	47.3	237.4	290	183.1
24	65	78.6	49.1	251.5	306	194.6
25	66.9	81.5	50	266.2	322	206
26	68.9	84.5	50.7	280.2	338	218.8
27	70.7	87.3	51.4	295.7	356	231.7
28	72	89.3	51.9	311	375	244
29	73.2	91.1	52.7	327	394	257.7
30	74.9	93.3	54	346	418	271.9
31	76.6	95.3	55.3	360	437	282.5
32	77.9	96.9	56.3	382	464	301
33	79	98.3	57.2	403	490	317
34	80.4	100.2	58.3	428	521	334
35	82.7	103	60.1	454	553	355
36	86.2	107.5	62.7	479	583	374
37	91.5	114.5	66.3	505	617	393
38	99	124.6	71.1	534	651	416
39	108.7	138	77.1	562	683	436
40	120.6	154.2	84.3	595	723	461
41	134	172.6	92.5	617	751	479
42	147.8	191.9	100.8	650	790	506
43	161.7	211	109.2	680	826	529
44	175.4	229.8	117.7	715	867	554
45	189.6	249.1	126.4	755	914	585
46	204.7	270.2	135.2	789	956	613
47	221.7	294.3	144.8	830	1,003	646
48	243.7	325	157.5	877	1,055	685
49	273.2	366	175.4	921	1,106	724
50	309	414	197.7	972	1,169	772
51	347	466	221.9	1,004	1,209	804
52	382	513	244.4	1,054	1,266	855
53	410	551	263.4	1,097	1,313	894
54	433	580	278.4	1,144	1,364	941
55	453	608	292.3	1,188	1,419	988
56	478	641	309	1,237	1,469	1,041
57	511	685	331	1,295	1,525	1,094
58	559	750	362	1,359	1,592	1,160
59	626	840	405	1,413	1,659	1,226
60	709	948	461	1,502	1,753	1,317
61	804	1,070	527	1,561	1,808	1,382
62	905	1,202	597	1,657	1,894	1,483
63	1,003	1,322	672	1,741	1,960	1,573
64	1,091	1,428	743	1,823	2,027	1,670
65	1,168	1,521	804	1,906	2,092	1,776
66	1,247	1,612	871	1,933	2,086	1,821
67	1,329	1,701	947	1,979	2,090	1,882
68	1,396	1,776	1,007	2,020	2,097	1,950
69	1,523	1,912	1,126	2,047	2,097	2,007
70	1,738	2,131	1,338	2,107	2,118	2,100
71	1,877	2,265	1,486	2,121	2,099	2,133
72	1,980	2,362	1,598	2,180	2,115	2,223
73	2,120	2,502	1,741	2,203	2,105	2,274
74	2,277	2,655	1,902	2,226	2,093	2,332
75	2,425	2,787	2,061	2,235	2,075	2,382
76	2,587	2,920	2,238	2,239	2,051	2,420
77	2,768	3,062	2,439	2,231	2,017	2,437
78	2,961	3,212	2,668	2,243	1,996	2,483
79	3,164	3,368	2,927	2,215	1,951	2,482
80	3,383	3,522	3,211	2,220	1,916	2,525
81	3,591	3,652	3,498	2,217	1,888	2,538
82	3,765	3,736	3,768	2,255	1,876	2,609
83	3,888	3,760	3,998	2,236	1,824	2,613
84	3,946	3,719	4,161	2,197	1,759	2,594
85	3,943	3,619	4,261	2,110	1,659	2,519
86	3,888	3,470	4,305	2,010	1,553	2,427
87	3,776	3,279	4,280	1,867	1,422	2,274
88	3,612	3,052	4,196	1,709	1,280	2,101
89	3,426	2,794	4,102	1,535	1,131	1,906
90	3,198	2,507	3,943	1,362	985	1,711
91	2,931	2,194	3,721	1,165	834	1,472
92	2,669	1,866	3,528	994	699	1,269
93	2,354	1,533	3,234	821	568	1,060
94	1,973	1,209	2,791	663	450	865
95	1,576	912	2,287	522	347	689
96	1,211	654	1,807	398	260.3	530
97	903	442	1,395	295	190.1	395
98	646	278.4	1,036	212.1	135	285.9
99	439	161.6	732	150.5	94.3	204.3
100	102.8	0	287.1	36.9	16.2	56.9

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 Eswatini 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 Eswatini: Data-driven Comparison

By topic vs comparisons:

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