Life Expectancy in China vs Uganda (1950-2026)

Life expectancy by current age

Chart Table

China

Male

Female

Uganda

Male

Female

1x

Current age, years	Total life expectancy, years
	China			Uganda
	Average	Male	Female	Average	Male	Female
100	102	101.7	102	102.6	102.1	102.7
99	101	100.6	101.1	101.8	101.3	101.9
98	100.1	99.6	100.2	101	100.4	101.1
97	99.3	98.7	99.4	100.1	99.6	100.3
96	98.4	97.9	98.6	99.3	98.7	99.5
95	97.6	97.1	97.8	98.5	97.9	98.7
94	96.8	96.3	97	97.7	97	97.9
93	96	95.5	96.2	97	96.2	97.2
92	95.3	94.7	95.5	96.2	95.4	96.4
91	94.6	94	94.9	95.5	94.6	95.7
90	93.9	93.3	94.2	94.7	93.9	95
89	93.2	92.6	93.6	94	93.1	94.4
88	92.6	91.9	93	93.3	92.4	93.7
87	92	91.3	92.4	92.7	91.6	93.1
86	91.4	90.6	91.8	92	90.9	92.5
85	90.8	90	91.3	91.4	90.2	91.9
84	90.2	89.4	90.7	90.7	89.5	91.4
83	89.6	88.8	90.2	90.2	88.9	90.8
82	89.1	88.2	89.8	89.6	88.3	90.3
81	88.6	87.7	89.3	89.1	87.7	89.8
80	88.1	87.2	88.9	88.5	87.1	89.4
79	87.7	86.7	88.5	88	86.5	88.9
78	87.3	86.2	88.2	87.5	86	88.4
77	86.9	85.8	87.8	87	85.4	88
76	86.5	85.3	87.5	86.4	84.9	87.5
75	86.2	84.9	87.2	85.9	84.3	87
74	85.8	84.5	86.9	85.4	83.8	86.5
73	85.5	84.1	86.7	84.9	83.2	86.1
72	85.2	83.7	86.4	84.4	82.7	85.6
71	84.9	83.4	86.1	83.9	82.2	85.2
70	84.6	83	85.9	83.4	81.7	84.7
69	84.3	82.7	85.7	83	81.2	84.3
68	84	82.4	85.5	82.5	80.7	83.8
67	83.8	82.1	85.4	82	80.3	83.4
66	83.6	81.8	85.2	81.6	79.8	83
65	83.3	81.5	85	81.1	79.3	82.6
64	83.1	81.3	84.9	80.7	78.9	82.2
63	82.9	81	84.7	80.3	78.4	81.8
62	82.7	80.8	84.6	79.9	78	81.4
61	82.5	80.6	84.5	79.5	77.6	81.1
60	82.4	80.4	84.3	79.2	77.2	80.8
59	82.2	80.2	84.2	78.9	76.9	80.5
58	82.1	80	84.2	78.5	76.5	80.2
57	82	79.8	84.1	78.2	76.2	79.9
56	81.8	79.7	84	77.9	75.9	79.7
55	81.7	79.5	83.9	77.6	75.5	79.4
54	81.6	79.4	83.8	77.3	75.2	79.2
53	81.5	79.2	83.7	77.1	74.9	78.9
52	81.4	79.1	83.7	76.8	74.6	78.7
51	81.3	79	83.6	76.6	74.4	78.5
50	81.2	78.9	83.5	76.3	74.1	78.3
49	81.1	78.8	83.5	76.1	73.9	78.1
48	81	78.7	83.4	75.9	73.6	77.9
47	81	78.6	83.4	75.7	73.4	77.7
46	80.9	78.5	83.3	75.5	73.2	77.5
45	80.8	78.4	83.3	75.3	72.9	77.4
44	80.8	78.3	83.2	75.1	72.7	77.2
43	80.7	78.3	83.2	74.9	72.5	77
42	80.6	78.2	83.1	74.7	72.3	76.9
41	80.6	78.1	83.1	74.6	72.2	76.8
40	80.5	78.1	83.1	74.4	72	76.6
39	80.5	78	83	74.3	71.8	76.5
38	80.5	78	83	74.1	71.6	76.4
37	80.4	77.9	83	74	71.5	76.2
36	80.4	77.9	83	73.8	71.3	76.1
35	80.4	77.8	82.9	73.7	71.2	76
34	80.3	77.8	82.9	73.6	71	75.9
33	80.3	77.8	82.9	73.4	70.9	75.8
32	80.2	77.7	82.8	73.3	70.8	75.7
31	80.2	77.7	82.8	73.2	70.6	75.6
30	80.2	77.6	82.8	73.1	70.5	75.5
29	80.1	77.6	82.8	73	70.4	75.4
28	80.1	77.6	82.7	72.9	70.3	75.3
27	80.1	77.5	82.7	72.8	70.1	75.3
26	80	77.5	82.7	72.7	70	75.2
25	80	77.4	82.7	72.6	69.9	75.1
24	80	77.4	82.6	72.5	69.8	75
23	79.9	77.4	82.6	72.4	69.7	75
22	79.9	77.3	82.6	72.3	69.6	74.9
21	79.9	77.3	82.6	72.2	69.5	74.8
20	79.8	77.3	82.5	72.2	69.4	74.8
19	79.8	77.2	82.5	72.1	69.3	74.7
18	79.8	77.2	82.5	72	69.2	74.7
17	79.8	77.2	82.5	72	69.2	74.6
16	79.8	77.2	82.5	71.9	69.1	74.6
15	79.7	77.1	82.4	71.9	69	74.5
14	79.7	77.1	82.4	71.8	69	74.5
13	79.7	77.1	82.4	71.8	68.9	74.4
12	79.7	77.1	82.4	71.7	68.9	74.4
11	79.7	77	82.4	71.7	68.9	74.4
10	79.6	77	82.4	71.7	68.8	74.3
9	79.6	77	82.4	71.6	68.8	74.3
8	79.6	77	82.3	71.6	68.7	74.3
7	79.6	77	82.3	71.5	68.7	74.2
6	79.6	76.9	82.3	71.5	68.6	74.2
5	79.6	76.9	82.3	71.4	68.6	74.1
4	79.5	76.9	82.3	71.3	68.5	74
3	79.5	76.9	82.2	71.2	68.4	73.9
2	79.5	76.9	82.2	71	68.2	73.8
1	79.5	76.8	82.2	70.8	67.9	73.5
0	79	76.4	81.8	68.9	65.9	71.8

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 China can expect to live to 80.2 years compared to 73.1 in Uganda, rising to 83.3 and 81.1 at 65, and to 88.1 and 88.5 at 80 — higher than the 79 and 68.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

China

Male

Female

Uganda

Male

Female

1x

Age	Survival probability
	China			Uganda
	Average	Male	Female	Average	Male	Female
100	0.82%	0.19%	1.45%	1.3%	0.39%	2.11%
99	1.33%	0.38%	2.27%	1.77%	0.57%	2.85%
98	2.06%	0.72%	3.42%	2.37%	0.83%	3.75%
97	3.08%	1.24%	4.95%	3.11%	1.17%	4.85%
96	4.43%	2%	6.91%	4.01%	1.62%	6.16%
95	6.17%	3.05%	9.37%	5.09%	2.2%	7.68%
94	8.32%	4.42%	12.3%	6.32%	2.92%	9.39%
93	10.9%	6.13%	15.8%	7.74%	3.79%	11.3%
92	13.7%	8.19%	19.4%	9.32%	4.83%	13.4%
91	16.8%	10.6%	23.3%	11%	6.04%	15.6%
90	20.2%	13.3%	27.4%	13%	7.44%	18%
89	23.8%	16.3%	31.6%	15%	9.01%	20.5%
88	27.5%	19.5%	35.8%	17.1%	10.8%	23%
87	31.4%	23%	40.2%	19.4%	12.7%	25.6%
86	35.4%	26.6%	44.5%	21.7%	14.7%	28.1%
85	39.4%	30.3%	48.8%	24%	16.9%	30.7%
84	43.3%	34.1%	52.9%	26.4%	19.1%	33.2%
83	47.2%	37.9%	56.8%	28.8%	21.4%	35.6%
82	51%	41.7%	60.5%	31.1%	23.7%	37.9%
81	54.5%	45.3%	64%	33.3%	26%	40.1%
80	57.8%	48.8%	67.1%	35.4%	28.3%	42.2%
79	60.9%	52.2%	70%	37.6%	30.6%	44.2%
78	63.8%	55.3%	72.5%	39.8%	32.9%	46.4%
77	66.5%	58.3%	74.9%	42%	35.2%	48.4%
76	69%	61.2%	77%	44.2%	37.5%	50.5%
75	71.3%	63.9%	79%	46.4%	39.9%	52.6%
74	73.5%	66.4%	80.8%	48.6%	42.2%	54.7%
73	75.6%	68.9%	82.5%	50.7%	44.4%	56.7%
72	77.5%	71.1%	84%	52.8%	46.7%	58.7%
71	79.3%	73.3%	85.5%	54.9%	48.9%	60.7%
70	80.9%	75.3%	86.7%	56.9%	51.1%	62.6%
69	82.4%	77.1%	87.8%	58.9%	53.2%	64.5%
68	83.7%	78.8%	88.8%	60.9%	55.3%	66.3%
67	84.9%	80.4%	89.6%	62.8%	57.4%	68.1%
66	86.1%	82%	90.5%	64.7%	59.4%	69.8%
65	87.2%	83.4%	91.2%	66.6%	61.5%	71.6%
64	88.3%	84.8%	91.9%	68.3%	63.4%	73.2%
63	89.2%	86%	92.6%	70%	65.3%	74.7%
62	90.1%	87.1%	93.1%	71.5%	67%	76.1%
61	90.8%	88.1%	93.6%	73%	68.7%	77.4%
60	91.5%	89%	94.1%	74.4%	70.2%	78.6%
59	92.1%	89.8%	94.5%	75.7%	71.7%	79.7%
58	92.6%	90.5%	94.8%	76.9%	73.1%	80.8%
57	93.1%	91.2%	95.1%	78.1%	74.4%	81.8%
56	93.5%	91.8%	95.4%	79.2%	75.7%	82.7%
55	94%	92.4%	95.7%	80.2%	76.9%	83.6%
54	94.4%	92.9%	95.9%	81.2%	78%	84.4%
53	94.8%	93.4%	96.2%	82.1%	79.1%	85.2%
52	95.1%	93.9%	96.4%	83%	80.1%	85.9%
51	95.4%	94.3%	96.6%	83.8%	81.1%	86.6%
50	95.7%	94.7%	96.8%	84.6%	82%	87.3%
49	96%	95.1%	97%	85.4%	82.9%	87.9%
48	96.2%	95.4%	97.1%	86%	83.7%	88.4%
47	96.4%	95.7%	97.3%	86.7%	84.4%	89%
46	96.6%	95.9%	97.4%	87.3%	85.1%	89.5%
45	96.8%	96.1%	97.5%	87.9%	85.8%	89.9%
44	97%	96.4%	97.6%	88.4%	86.4%	90.4%
43	97.1%	96.6%	97.7%	88.9%	87%	90.8%
42	97.3%	96.7%	97.8%	89.4%	87.6%	91.2%
41	97.4%	96.9%	97.9%	89.8%	88.1%	91.6%
40	97.5%	97%	98%	90.2%	88.6%	91.9%
39	97.6%	97.2%	98.1%	90.6%	89.1%	92.2%
38	97.7%	97.3%	98.1%	91%	89.5%	92.5%
37	97.8%	97.4%	98.2%	91.4%	90%	92.8%
36	97.9%	97.5%	98.3%	91.7%	90.4%	93.1%
35	97.9%	97.6%	98.3%	92%	90.7%	93.4%
34	98%	97.7%	98.4%	92.3%	91.1%	93.6%
33	98.1%	97.8%	98.4%	92.6%	91.4%	93.8%
32	98.2%	97.9%	98.5%	92.9%	91.7%	94%
31	98.2%	98%	98.5%	93.1%	92%	94.2%
30	98.3%	98%	98.6%	93.4%	92.3%	94.4%
29	98.4%	98.1%	98.6%	93.6%	92.6%	94.6%
28	98.4%	98.2%	98.7%	93.8%	92.9%	94.8%
27	98.5%	98.3%	98.7%	94%	93.1%	94.9%
26	98.6%	98.4%	98.8%	94.2%	93.4%	95.1%
25	98.6%	98.4%	98.8%	94.4%	93.6%	95.2%
24	98.7%	98.5%	98.9%	94.6%	93.8%	95.4%
23	98.7%	98.6%	98.9%	94.8%	94%	95.5%
22	98.8%	98.7%	99%	94.9%	94.3%	95.6%
21	98.8%	98.7%	99%	95.1%	94.5%	95.7%
20	98.9%	98.8%	99%	95.2%	94.6%	95.8%
19	98.9%	98.8%	99.1%	95.4%	94.8%	96%
18	99%	98.9%	99.1%	95.5%	95%	96%
17	99%	98.9%	99.1%	95.6%	95.1%	96.1%
16	99%	98.9%	99.1%	95.7%	95.2%	96.2%
15	99.1%	99%	99.2%	95.8%	95.3%	96.3%
14	99.1%	99%	99.2%	95.9%	95.4%	96.3%
13	99.1%	99%	99.2%	95.9%	95.5%	96.4%
12	99.1%	99.1%	99.2%	96%	95.5%	96.4%
11	99.2%	99.1%	99.2%	96%	95.6%	96.5%
10	99.2%	99.1%	99.3%	96.1%	95.7%	96.5%
9	99.2%	99.2%	99.3%	96.2%	95.7%	96.6%
8	99.3%	99.2%	99.3%	96.2%	95.8%	96.6%
7	99.3%	99.2%	99.3%	96.3%	95.9%	96.7%
6	99.3%	99.3%	99.4%	96.4%	96%	96.8%
5	99.3%	99.3%	99.4%	96.5%	96.1%	96.9%
4	99.3%	99.3%	99.4%	96.6%	96.2%	97%
3	99.4%	99.3%	99.4%	96.8%	96.4%	97.1%
2	99.4%	99.4%	99.5%	97%	96.7%	97.4%
1	99.5%	99.4%	99.5%	97.4%	97.1%	97.7%

This chart shows the odds of living to each age from birth. 91.5% of newborns in China and 74.4% in Uganda are expected to live past 60, 80.9% and 56.9% past 70, 57.8% and 35.4% past 80, and only 20.2% and 13% past 90.

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

Odds of dying at each age

Chart Table

China

Male

Female

Uganda

Male

Female

1x

Age	Probability of dying
	China			Uganda
	Average	Male	Female	Average	Male	Female
100	40.6%	55.2%	38.5%	28%	33.9%	27.1%
99	38.1%	51.3%	36.1%	26.8%	32.4%	25.8%
98	35.7%	46.6%	33.6%	25.1%	30.7%	24.1%
97	33.1%	42.1%	30.9%	23.8%	29.3%	22.7%
96	30.5%	38.1%	28.4%	22.5%	27.8%	21.3%
95	28.2%	34.3%	26.2%	21.1%	26.3%	19.8%
94	25.9%	31%	24.1%	19.6%	24.6%	18.3%
93	23.4%	27.9%	21.7%	18.2%	23%	16.9%
92	20.8%	25.2%	19%	17%	21.6%	15.6%
91	18.5%	22.6%	16.6%	15.6%	20%	14.2%
90	16.7%	20.4%	14.9%	14.8%	18.9%	13.3%
89	15.1%	18.4%	13.3%	13.5%	17.4%	12%
88	13.6%	16.6%	11.9%	12.5%	16.2%	11.1%
87	12.4%	15%	10.8%	11.6%	15%	10.1%
86	11.2%	13.6%	9.72%	10.7%	13.9%	9.18%
85	10.1%	12.3%	8.73%	9.79%	12.7%	8.34%
84	9.17%	11.2%	7.82%	9%	11.8%	7.56%
83	8.24%	10.1%	6.95%	8.15%	10.7%	6.77%
82	7.35%	9.03%	6.12%	7.42%	9.75%	6.08%
81	6.51%	8.06%	5.36%	6.6%	8.71%	5.35%
80	5.75%	7.17%	4.67%	6.15%	8.11%	4.93%
79	5.09%	6.39%	4.07%	5.81%	7.53%	4.71%
78	4.52%	5.71%	3.56%	5.56%	7.09%	4.54%
77	4.03%	5.14%	3.15%	5.23%	6.58%	4.31%
76	3.62%	4.65%	2.8%	4.97%	6.19%	4.14%
75	3.27%	4.23%	2.5%	4.71%	5.82%	3.97%
74	2.98%	3.86%	2.25%	4.46%	5.46%	3.78%
73	2.69%	3.5%	2.02%	4.22%	5.12%	3.59%
72	2.45%	3.19%	1.81%	4.01%	4.83%	3.43%
71	2.26%	2.96%	1.66%	3.74%	4.49%	3.2%
70	2.04%	2.7%	1.47%	3.61%	4.3%	3.11%
69	1.76%	2.36%	1.22%	3.37%	4.02%	2.89%
68	1.58%	2.14%	1.08%	3.22%	3.82%	2.76%
67	1.48%	2.01%	1%	3.05%	3.62%	2.62%
66	1.37%	1.86%	0.91%	2.91%	3.44%	2.49%
65	1.26%	1.72%	0.83%	2.8%	3.3%	2.4%
64	1.17%	1.59%	0.76%	2.57%	3.05%	2.19%
63	1.06%	1.45%	0.69%	2.38%	2.83%	2.01%
62	0.95%	1.3%	0.61%	2.2%	2.62%	1.85%
61	0.83%	1.14%	0.53%	2.01%	2.41%	1.67%
60	0.73%	1%	0.46%	1.88%	2.25%	1.56%
59	0.64%	0.88%	0.41%	1.72%	2.06%	1.42%
58	0.57%	0.78%	0.36%	1.6%	1.91%	1.31%
57	0.52%	0.71%	0.33%	1.48%	1.78%	1.21%
56	0.48%	0.66%	0.31%	1.38%	1.66%	1.13%
55	0.45%	0.62%	0.29%	1.29%	1.55%	1.05%
54	0.43%	0.59%	0.27%	1.21%	1.45%	0.98%
53	0.41%	0.55%	0.26%	1.13%	1.36%	0.92%
52	0.38%	0.51%	0.24%	1.06%	1.28%	0.86%
51	0.34%	0.46%	0.22%	0.98%	1.18%	0.79%
50	0.3%	0.41%	0.19%	0.93%	1.12%	0.75%
49	0.27%	0.36%	0.17%	0.86%	1.03%	0.69%
48	0.24%	0.32%	0.15%	0.8%	0.96%	0.64%
47	0.22%	0.29%	0.14%	0.74%	0.89%	0.59%
46	0.2%	0.26%	0.13%	0.69%	0.83%	0.55%
45	0.18%	0.24%	0.12%	0.65%	0.78%	0.52%
44	0.17%	0.22%	0.11%	0.6%	0.73%	0.49%
43	0.16%	0.21%	0.11%	0.57%	0.68%	0.46%
42	0.14%	0.19%	0.1%	0.54%	0.64%	0.43%
41	0.13%	0.17%	0.09%	0.5%	0.6%	0.4%
40	0.12%	0.15%	0.08%	0.47%	0.57%	0.38%
39	0.1%	0.13%	0.07%	0.44%	0.53%	0.35%
38	0.1%	0.12%	0.07%	0.42%	0.5%	0.33%
37	0.09%	0.11%	0.06%	0.39%	0.47%	0.31%
36	0.08%	0.1%	0.06%	0.37%	0.44%	0.29%
35	0.08%	0.1%	0.06%	0.34%	0.42%	0.27%
34	0.08%	0.1%	0.06%	0.32%	0.39%	0.26%
33	0.08%	0.09%	0.05%	0.3%	0.37%	0.24%
32	0.07%	0.09%	0.05%	0.29%	0.35%	0.23%
31	0.07%	0.09%	0.05%	0.27%	0.33%	0.21%
30	0.07%	0.09%	0.05%	0.26%	0.31%	0.2%
29	0.07%	0.09%	0.05%	0.24%	0.3%	0.19%
28	0.07%	0.08%	0.05%	0.23%	0.28%	0.18%
27	0.07%	0.08%	0.05%	0.22%	0.27%	0.17%
26	0.07%	0.08%	0.05%	0.21%	0.26%	0.16%
25	0.06%	0.08%	0.05%	0.2%	0.25%	0.15%
24	0.06%	0.07%	0.05%	0.19%	0.24%	0.14%
23	0.06%	0.07%	0.04%	0.18%	0.23%	0.14%
22	0.05%	0.07%	0.04%	0.17%	0.22%	0.13%
21	0.05%	0.06%	0.04%	0.17%	0.21%	0.12%
20	0.05%	0.05%	0.03%	0.16%	0.2%	0.12%
19	0.04%	0.05%	0.03%	0.14%	0.18%	0.11%
18	0.04%	0.04%	0.03%	0.13%	0.16%	0.1%
17	0.03%	0.04%	0.03%	0.12%	0.14%	0.09%
16	0.03%	0.04%	0.02%	0.1%	0.12%	0.08%
15	0.03%	0.04%	0.02%	0.09%	0.1%	0.07%
14	0.03%	0.04%	0.02%	0.07%	0.09%	0.06%
13	0.03%	0.04%	0.02%	0.07%	0.08%	0.06%
12	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
11	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
10	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
9	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
8	0.03%	0.03%	0.02%	0.07%	0.07%	0.06%
7	0.02%	0.03%	0.02%	0.07%	0.08%	0.06%
6	0.02%	0.02%	0.02%	0.08%	0.09%	0.07%
5	0.02%	0.02%	0.02%	0.1%	0.11%	0.09%
4	0.02%	0.02%	0.03%	0.13%	0.14%	0.12%
3	0.03%	0.03%	0.03%	0.17%	0.19%	0.16%
2	0.04%	0.04%	0.04%	0.25%	0.27%	0.23%
1	0.05%	0.05%	0.05%	0.4%	0.42%	0.38%
0	0.54%	0.59%	0.49%	2.61%	2.94%	2.27%

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

The annual chance of dying is 0.54% in the birth year in China and 2.61% in Uganda, 0.07% vs 0.26% at age 30, 0.73% vs 1.88% at 60, and 5.75% vs 6.15% at 80.

Death rate by age in China vs Uganda

Chart Table

China

Male

Female

Uganda

Male

Female

1x

Age	Death rate
	China			Uganda
	Total	Male	Female	Total	Male	Female
100	145	0	355	305	68.7	517
99	505	196.9	819	474	186.1	733
98	735	334	1,147	595	254.8	901
97	1,018	523	1,530	741	343	1,099
96	1,350	762	1,962	902	451	1,309
95	1,738	1,046	2,458	1,074	578	1,523
94	2,153	1,368	2,972	1,239	717	1,714
93	2,544	1,713	3,413	1,411	872	1,905
92	2,856	2,061	3,693	1,584	1,042	2,086
91	3,108	2,396	3,865	1,726	1,204	2,214
90	3,366	2,708	4,066	1,914	1,405	2,396
89	3,582	2,988	4,200	2,023	1,571	2,458
88	3,745	3,232	4,268	2,150	1,748	2,541
87	3,880	3,440	4,326	2,238	1,902	2,573
86	3,965	3,608	4,325	2,313	2,046	2,585
85	3,995	3,731	4,256	2,352	2,148	2,563
84	3,972	3,803	4,134	2,378	2,254	2,512
83	3,891	3,816	3,953	2,344	2,284	2,412
82	3,745	3,764	3,707	2,304	2,311	2,307
81	3,550	3,655	3,426	2,196	2,261	2,143
80	3,328	3,503	3,132	2,178	2,291	2,079
79	3,103	3,332	2,846	2,188	2,303	2,084
78	2,884	3,160	2,586	2,213	2,332	2,103
77	2,680	2,998	2,356	2,196	2,316	2,086
76	2,497	2,846	2,155	2,196	2,325	2,091
75	2,336	2,704	1,979	2,187	2,320	2,091
74	2,190	2,566	1,823	2,166	2,300	2,066
73	2,034	2,410	1,665	2,140	2,275	2,038
72	1,895	2,269	1,525	2,119	2,255	2,014
71	1,792	2,168	1,415	2,053	2,193	1,945
70	1,654	2,034	1,272	2,055	2,194	1,945
69	1,448	1,822	1,069	1,987	2,137	1,865
68	1,325	1,689	956	1,958	2,111	1,833
67	1,260	1,614	898	1,917	2,076	1,783
66	1,179	1,527	825	1,880	2,044	1,740
65	1,103	1,438	761	1,861	2,029	1,715
64	1,030	1,348	703	1,758	1,936	1,601
63	946	1,247	635	1,663	1,845	1,498
62	853	1,133	564	1,573	1,757	1,404
61	757	1,009	498	1,466	1,651	1,293
60	668	892	436	1,401	1,582	1,229
59	590	791	383	1,300	1,478	1,129
58	527	706	342	1,228	1,400	1,061
57	482	645	313	1,154	1,322	990
56	451	603	292	1,094	1,256	935
55	427	572	276.5	1,036	1,194	879
54	408	546	263.3	982	1,135	830
53	387	518	249.2	929	1,076	781
52	360	482	231.3	882	1,023	741
51	327	438	210	823	959	686
50	290.9	390	187.2	785	916	655
49	257.4	344	166.1	730	854	606
48	229.6	306	149.2	686	803	568
47	208.9	276.7	137.2	641	753	529
46	192.8	253.9	128.1	602	709	496
45	178.6	234	119.7	570	671	469
44	165.2	215.7	111.4	534	629	439
43	152.2	198	103.3	504	594	414
42	139.1	180	95.4	478	563	393
41	126	161.9	87.5	447	528	366
40	113.4	144.6	79.7	427	505	349
39	102.3	129.3	72.9	400	473	326
38	93	116.7	67.2	378	448	308
37	86	107.2	62.7	355	422	287.9
36	81	100.6	59.2	335	399	272
35	77.6	96.3	56.7	317	378	256.3
34	75.4	93.5	55	297.7	356	239.4
33	73.9	91.7	53.8	281	336	225.4
32	72.9	90.3	53	266.2	319	212.9
31	71.6	88.7	51.9	250.3	301	198.8
30	70	86.7	50.7	240.6	289.9	191.1
29	68.3	84.6	49.4	228	275.4	180.2
28	67	82.9	48.7	217.4	264	170.5
27	65.8	81	48.1	207.7	253.3	161.7
26	64.1	78.3	47.4	198.4	243.6	152.9
25	62.2	75.4	46.7	190.1	235.4	144.5
24	60.3	72.7	45.8	182.3	226.9	137.3
23	57.6	69	44.1	174.3	218.5	129.9
22	53.9	64.4	41.5	166	209	122.8
21	49.4	59.1	38.1	156.9	197.6	115.9
20	44.8	53.7	34.3	147.9	185.1	110.5
19	40.4	48.5	30.8	137.2	170.9	103.1
18	36.6	44.2	27.6	125.5	155.3	95.4
17	33.6	40.9	25	110.2	133.6	86.5
16	31.4	38.5	23.1	95.8	113.5	77.8
15	30	36.9	21.9	82.4	95.8	68.9
14	29.2	35.9	21.3	71.4	82.2	60.4
13	28.7	35.2	21.2	63.6	72.5	54.5
12	28.2	34.1	21.3	58.8	67.1	50.3
11	27.5	32.7	21.6	56.6	64.6	48.5
10	27.6	32	22.6	56.7	64.1	49
9	27.6	31.1	23.5	58.9	66.4	51.2
8	26.3	28.8	23.3	63.7	71.7	55.6
7	24.2	25.8	22.4	71.3	79.6	62.7
6	22.5	23.1	21.8	80.9	89.4	72.1
5	22.3	22.3	22.4	95.8	104.4	86.9
4	24.6	24.2	25	124.2	135.1	113.1
3	29.6	29.3	29.9	169.3	183.4	154.7
2	36.1	35.9	36.3	243.5	261.2	225.2
1	45.9	46.8	44.9	390	412	368
0	540	585	490	2,606	2,937	2,268

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 China, the most common age of death is 85, compared to 0 in Uganda. The median age of death is 82.3 in China and 73.3 in Uganda, 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 China and Uganda more than their death rates.

Life expectancy in other countries

+ -

1x