Life Expectancy in Australia vs Congo (1950-2026)

Life expectancy by current age

Chart Table

Australia

Male

Female

Congo

Male

Female

1x

Current age, years	Total life expectancy, years
	Australia			Congo
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.1	101.9	101.9	101.9
99	101.3	101.1	101.3	101	101	101
98	100.4	100.3	100.5	100.1	100.2	100.1
97	99.6	99.5	99.7	99.2	99.3	99.1
96	98.9	98.7	98.9	98.3	98.4	98.2
95	98.1	97.9	98.2	97.4	97.5	97.4
94	97.4	97.2	97.5	96.6	96.7	96.5
93	96.7	96.4	96.8	95.7	95.8	95.7
92	96	95.7	96.2	94.9	94.9	94.8
91	95.4	95.1	95.6	94	94.1	94
90	94.8	94.4	95	93.2	93.3	93.2
89	94.2	93.8	94.5	92.4	92.5	92.4
88	93.7	93.2	94	91.6	91.6	91.6
87	93.2	92.7	93.5	90.9	90.9	90.9
86	92.7	92.2	93.1	90.1	90.1	90.1
85	92.2	91.7	92.6	89.3	89.3	89.4
84	91.8	91.2	92.3	88.6	88.5	88.7
83	91.4	90.8	91.9	87.9	87.8	88
82	91	90.4	91.6	87.2	87.1	87.3
81	90.7	90	91.3	86.5	86.4	86.7
80	90.3	89.6	91	85.9	85.7	86
79	90	89.3	90.7	85.2	85	85.4
78	89.8	89	90.5	84.6	84.3	84.8
77	89.5	88.7	90.2	84	83.7	84.3
76	89.2	88.4	90	83.4	83.1	83.7
75	89	88.1	89.8	82.9	82.5	83.2
74	88.8	87.8	89.6	82.3	81.9	82.7
73	88.6	87.6	89.4	81.8	81.3	82.2
72	88.4	87.4	89.3	81.3	80.8	81.7
71	88.2	87.2	89.1	80.8	80.3	81.3
70	88	87	89	80.3	79.8	80.8
69	87.8	86.8	88.8	79.9	79.3	80.4
68	87.7	86.6	88.7	79.5	78.8	80
67	87.5	86.4	88.6	79.1	78.4	79.7
66	87.4	86.2	88.4	78.7	77.9	79.3
65	87.2	86.1	88.3	78.3	77.5	79
64	87.1	85.9	88.2	77.9	77.1	78.6
63	87	85.8	88.1	77.6	76.7	78.3
62	86.9	85.6	88	77.2	76.4	78
61	86.7	85.5	87.9	76.9	76	77.7
60	86.6	85.3	87.9	76.6	75.6	77.4
59	86.5	85.2	87.8	76.3	75.3	77.2
58	86.4	85.1	87.7	76	75	76.9
57	86.3	85	87.6	75.7	74.7	76.7
56	86.2	84.9	87.5	75.4	74.4	76.4
55	86.1	84.8	87.5	75.1	74.1	76.2
54	86.1	84.7	87.4	74.9	73.8	75.9
53	86	84.6	87.3	74.6	73.5	75.7
52	85.9	84.5	87.3	74.4	73.2	75.5
51	85.8	84.4	87.2	74.1	73	75.3
50	85.8	84.3	87.2	73.9	72.7	75.1
49	85.7	84.2	87.1	73.7	72.5	74.9
48	85.6	84.2	87.1	73.5	72.2	74.7
47	85.6	84.1	87	73.3	72	74.5
46	85.5	84	87	73.1	71.8	74.3
45	85.5	84	86.9	72.9	71.6	74.1
44	85.4	83.9	86.9	72.7	71.4	74
43	85.4	83.9	86.8	72.5	71.2	73.8
42	85.3	83.8	86.8	72.3	71	73.7
41	85.3	83.7	86.8	72.2	70.9	73.5
40	85.2	83.7	86.8	72	70.7	73.3
39	85.2	83.7	86.7	71.9	70.5	73.2
38	85.2	83.6	86.7	71.7	70.4	73.1
37	85.1	83.6	86.7	71.6	70.2	72.9
36	85.1	83.5	86.6	71.4	70.1	72.8
35	85.1	83.5	86.6	71.3	69.9	72.7
34	85	83.4	86.6	71.2	69.8	72.5
33	85	83.4	86.6	71	69.6	72.4
32	85	83.4	86.6	70.9	69.5	72.3
31	85	83.3	86.6	70.8	69.4	72.2
30	84.9	83.3	86.5	70.7	69.3	72.1
29	84.9	83.3	86.5	70.6	69.1	72
28	84.9	83.2	86.5	70.5	69	71.9
27	84.9	83.2	86.5	70.3	68.9	71.8
26	84.9	83.2	86.5	70.2	68.8	71.7
25	84.8	83.2	86.5	70.1	68.7	71.6
24	84.8	83.1	86.5	70.1	68.6	71.5
23	84.8	83.1	86.4	70	68.5	71.5
22	84.8	83.1	86.4	69.9	68.4	71.4
21	84.7	83	86.4	69.8	68.3	71.3
20	84.7	83	86.4	69.7	68.2	71.2
19	84.7	83	86.4	69.6	68.1	71.2
18	84.7	83	86.4	69.6	68	71.1
17	84.7	82.9	86.4	69.5	68	71.1
16	84.7	82.9	86.4	69.4	67.9	71
15	84.6	82.9	86.4	69.4	67.8	71
14	84.6	82.9	86.3	69.3	67.8	70.9
13	84.6	82.9	86.3	69.3	67.8	70.9
12	84.6	82.9	86.3	69.3	67.7	70.8
11	84.6	82.9	86.3	69.2	67.7	70.8
10	84.6	82.9	86.3	69.2	67.6	70.8
9	84.6	82.9	86.3	69.2	67.6	70.7
8	84.6	82.9	86.3	69.1	67.5	70.7
7	84.6	82.9	86.3	69.1	67.5	70.6
6	84.6	82.9	86.3	69	67.4	70.6
5	84.6	82.9	86.3	68.9	67.4	70.5
4	84.6	82.8	86.3	68.8	67.3	70.4
3	84.6	82.8	86.3	68.7	67.2	70.3
2	84.6	82.8	86.3	68.5	67	70.1
1	84.6	82.8	86.3	68.2	66.7	69.8
0	84.3	82.6	86.1	66.4	64.7	68.2

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 Australia can expect to live to 84.9 years compared to 70.7 in the Congo, rising to 87.2 and 78.3 at 65, and to 90.3 and 85.9 at 80 — higher than the 84.3 and 66.4 years calculated at birth.

The chart above accounts for remaining lifespan and displays total life expectancy by age and gender in Australia and the Congo.

Probability of surviving to a given age

Chart Table

Australia

Male

Female

Congo

Male

Female

1x

Age	Survival probability
	Australia			Congo
	Average	Male	Female	Average	Male	Female
100	3.24%	2.1%	4.28%	0.12%	0.11%	0.13%
99	4.79%	3.2%	6.26%	0.19%	0.17%	0.22%
98	6.82%	4.69%	8.79%	0.3%	0.26%	0.35%
97	9.35%	6.63%	11.9%	0.46%	0.39%	0.54%
96	12.4%	9.05%	15.6%	0.69%	0.57%	0.82%
95	16%	12%	19.8%	1.01%	0.81%	1.2%
94	20%	15.4%	24.4%	1.43%	1.14%	1.72%
93	24.3%	19.2%	29.3%	1.98%	1.57%	2.4%
92	28.9%	23.3%	34.4%	2.68%	2.12%	3.27%
91	33.7%	27.7%	39.6%	3.55%	2.8%	4.34%
90	38.5%	32.3%	44.7%	4.63%	3.64%	5.65%
89	43.2%	36.8%	49.5%	5.9%	4.65%	7.2%
88	47.7%	41.3%	54%	7.39%	5.84%	9%
87	51.9%	45.6%	58.3%	9.11%	7.23%	11.1%
86	56%	49.8%	62.2%	11%	8.81%	13.3%
85	59.8%	53.8%	65.8%	13.2%	10.6%	15.9%
84	63.2%	57.4%	69.1%	15.5%	12.6%	18.6%
83	66.4%	60.8%	72%	18.1%	14.8%	21.5%
82	69.3%	64%	74.7%	20.7%	17.1%	24.5%
81	72%	67%	77.1%	23.5%	19.6%	27.5%
80	74.4%	69.7%	79.2%	26.4%	22.2%	30.7%
79	76.6%	72.1%	81%	29.3%	24.9%	33.8%
78	78.5%	74.3%	82.7%	32.3%	27.7%	37%
77	80.3%	76.3%	84.2%	35.3%	30.5%	40.1%
76	81.9%	78.1%	85.6%	38.2%	33.4%	43.2%
75	83.3%	79.8%	86.8%	41.2%	36.3%	46.2%
74	84.6%	81.3%	87.9%	44%	39.1%	49%
73	85.8%	82.7%	88.9%	46.8%	41.9%	51.8%
72	86.9%	84%	89.8%	49.5%	44.7%	54.4%
71	87.9%	85.1%	90.6%	52.1%	47.3%	56.9%
70	88.8%	86.2%	91.3%	54.5%	49.9%	59.3%
69	89.6%	87.2%	92%	56.9%	52.4%	61.5%
68	90.3%	88%	92.6%	59.1%	54.8%	63.5%
67	91%	88.9%	93.1%	61.2%	57%	65.5%
66	91.6%	89.6%	93.6%	63.2%	59.1%	67.3%
65	92.2%	90.3%	94.1%	65.1%	61.2%	69%
64	92.7%	91%	94.5%	66.9%	63.1%	70.6%
63	93.2%	91.6%	94.8%	68.5%	65%	72.1%
62	93.7%	92.2%	95.2%	70.1%	66.8%	73.6%
61	94.2%	92.7%	95.6%	71.6%	68.4%	74.9%
60	94.6%	93.3%	95.9%	73.1%	70%	76.1%
59	94.9%	93.7%	96.2%	74.4%	71.5%	77.3%
58	95.3%	94.1%	96.4%	75.6%	72.9%	78.4%
57	95.6%	94.5%	96.7%	76.8%	74.3%	79.4%
56	95.9%	94.9%	96.9%	77.9%	75.5%	80.4%
55	96.2%	95.2%	97.1%	79%	76.7%	81.3%
54	96.4%	95.6%	97.3%	80%	77.9%	82.2%
53	96.7%	95.8%	97.5%	81%	79%	83%
52	96.9%	96.1%	97.7%	81.9%	80%	83.8%
51	97.1%	96.3%	97.9%	82.8%	81%	84.6%
50	97.3%	96.6%	98%	83.6%	81.9%	85.3%
49	97.5%	96.8%	98.1%	84.3%	82.8%	86%
48	97.6%	97%	98.3%	85.1%	83.6%	86.6%
47	97.8%	97.2%	98.4%	85.7%	84.3%	87.2%
46	97.9%	97.3%	98.5%	86.4%	85%	87.8%
45	98%	97.5%	98.6%	87%	85.7%	88.3%
44	98.2%	97.6%	98.7%	87.6%	86.3%	88.8%
43	98.3%	97.8%	98.8%	88.1%	86.9%	89.3%
42	98.4%	97.9%	98.8%	88.6%	87.5%	89.7%
41	98.5%	98%	98.9%	89.1%	88%	90.2%
40	98.5%	98.1%	99%	89.5%	88.5%	90.6%
39	98.6%	98.2%	99%	90%	89%	91%
38	98.7%	98.3%	99.1%	90.4%	89.5%	91.4%
37	98.8%	98.4%	99.1%	90.8%	89.9%	91.7%
36	98.8%	98.5%	99.2%	91.1%	90.3%	92%
35	98.9%	98.6%	99.2%	91.5%	90.6%	92.4%
34	99%	98.7%	99.3%	91.8%	91%	92.6%
33	99%	98.7%	99.3%	92.1%	91.3%	92.9%
32	99.1%	98.8%	99.3%	92.4%	91.7%	93.2%
31	99.1%	98.9%	99.4%	92.7%	92%	93.4%
30	99.2%	98.9%	99.4%	93%	92.2%	93.7%
29	99.2%	99%	99.4%	93.2%	92.5%	93.9%
28	99.2%	99%	99.4%	93.4%	92.8%	94.1%
27	99.3%	99.1%	99.5%	93.7%	93%	94.3%
26	99.3%	99.2%	99.5%	93.9%	93.3%	94.5%
25	99.3%	99.2%	99.5%	94.1%	93.5%	94.7%
24	99.4%	99.3%	99.5%	94.3%	93.7%	94.9%
23	99.4%	99.3%	99.5%	94.5%	94%	95%
22	99.5%	99.4%	99.5%	94.7%	94.2%	95.2%
21	99.5%	99.4%	99.6%	94.8%	94.4%	95.3%
20	99.5%	99.4%	99.6%	95%	94.5%	95.4%
19	99.5%	99.5%	99.6%	95.1%	94.7%	95.6%
18	99.6%	99.5%	99.6%	95.3%	94.9%	95.7%
17	99.6%	99.6%	99.6%	95.4%	95%	95.8%
16	99.6%	99.6%	99.7%	95.5%	95.1%	95.9%
15	99.6%	99.6%	99.7%	95.6%	95.2%	95.9%
14	99.6%	99.6%	99.7%	95.7%	95.3%	96%
13	99.7%	99.6%	99.7%	95.7%	95.4%	96.1%
12	99.7%	99.6%	99.7%	95.8%	95.4%	96.1%
11	99.7%	99.6%	99.7%	95.8%	95.5%	96.2%
10	99.7%	99.6%	99.7%	95.9%	95.6%	96.2%
9	99.7%	99.7%	99.7%	96%	95.6%	96.3%
8	99.7%	99.7%	99.7%	96%	95.7%	96.4%
7	99.7%	99.7%	99.7%	96.1%	95.8%	96.4%
6	99.7%	99.7%	99.7%	96.2%	95.9%	96.5%
5	99.7%	99.7%	99.7%	96.3%	96%	96.6%
4	99.7%	99.7%	99.7%	96.4%	96.1%	96.8%
3	99.7%	99.7%	99.7%	96.6%	96.3%	96.9%
2	99.7%	99.7%	99.7%	96.9%	96.6%	97.2%
1	99.7%	99.7%	99.8%	97.3%	97%	97.7%

This chart shows the odds of living to each age from birth. 94.6% of newborns in Australia and 73.1% in the Congo are expected to live past 60, 88.8% and 54.5% past 70, 74.4% and 26.4% past 80, and only 38.5% and 4.63% past 90.

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

Odds of dying at each age

Chart Table

Australia

Male

Female

Congo

Male

Female

1x

Age	Probability of dying
	Australia			Congo
	Average	Male	Female	Average	Male	Female
100	34.8%	36.8%	34.1%	39.6%	37.4%	41.1%
99	32.4%	34.4%	31.6%	38%	36.1%	39.4%
98	29.7%	31.8%	28.9%	36.2%	34.3%	37.4%
97	27.1%	29.2%	26.2%	34.6%	33.1%	35.6%
96	24.7%	26.8%	23.6%	33%	31.7%	33.8%
95	22.3%	24.4%	21.2%	31.3%	30.3%	32%
94	20%	22.1%	18.9%	29.6%	28.8%	30.1%
93	17.9%	19.9%	16.8%	27.9%	27.3%	28.2%
92	16%	17.8%	14.9%	26.2%	25.8%	26.5%
91	14.2%	15.9%	13.1%	24.5%	24.3%	24.7%
90	12.4%	14%	11.3%	23.2%	23.1%	23.2%
89	10.8%	12.3%	9.71%	21.6%	21.6%	21.5%
88	9.44%	10.8%	8.43%	20.2%	20.4%	20%
87	8.26%	9.51%	7.31%	18.8%	19.2%	18.6%
86	7.26%	8.43%	6.33%	17.6%	18%	17.2%
85	6.34%	7.36%	5.49%	16.3%	16.9%	15.9%
84	5.45%	6.32%	4.71%	15.1%	15.8%	14.6%
83	4.78%	5.61%	4.08%	13.9%	14.7%	13.4%
82	4.21%	5%	3.53%	12.9%	13.7%	12.3%
81	3.73%	4.45%	3.09%	11.8%	12.6%	11.2%
80	3.22%	3.85%	2.66%	11%	11.8%	10.3%
79	2.81%	3.36%	2.32%	9.99%	10.9%	9.34%
78	2.47%	2.95%	2.03%	9.21%	10.1%	8.55%
77	2.21%	2.65%	1.81%	8.41%	9.26%	7.75%
76	1.94%	2.34%	1.59%	7.74%	8.57%	7.08%
75	1.73%	2.09%	1.41%	7.11%	7.91%	6.46%
74	1.55%	1.87%	1.25%	6.5%	7.28%	5.86%
73	1.39%	1.69%	1.11%	5.94%	6.7%	5.32%
72	1.24%	1.52%	0.99%	5.43%	6.16%	4.84%
71	1.12%	1.37%	0.89%	4.91%	5.6%	4.34%
70	1%	1.22%	0.79%	4.54%	5.18%	3.99%
69	0.9%	1.11%	0.71%	4.1%	4.7%	3.58%
68	0.82%	1.01%	0.65%	3.76%	4.32%	3.27%
67	0.75%	0.92%	0.58%	3.44%	3.95%	2.97%
66	0.68%	0.85%	0.52%	3.14%	3.62%	2.7%
65	0.62%	0.78%	0.47%	2.9%	3.34%	2.49%
64	0.58%	0.73%	0.43%	2.67%	3.09%	2.28%
63	0.54%	0.68%	0.41%	2.46%	2.86%	2.09%
62	0.5%	0.63%	0.38%	2.28%	2.65%	1.93%
61	0.47%	0.59%	0.36%	2.08%	2.43%	1.76%
60	0.43%	0.54%	0.33%	1.95%	2.28%	1.65%
59	0.4%	0.5%	0.3%	1.78%	2.08%	1.5%
58	0.37%	0.45%	0.28%	1.66%	1.93%	1.4%
57	0.34%	0.42%	0.26%	1.54%	1.79%	1.3%
56	0.31%	0.38%	0.24%	1.44%	1.68%	1.22%
55	0.29%	0.36%	0.23%	1.35%	1.57%	1.14%
54	0.27%	0.33%	0.21%	1.27%	1.47%	1.07%
53	0.24%	0.3%	0.19%	1.19%	1.37%	1.01%
52	0.22%	0.27%	0.17%	1.12%	1.29%	0.95%
51	0.21%	0.25%	0.16%	1.04%	1.19%	0.88%
50	0.19%	0.24%	0.15%	0.98%	1.12%	0.84%
49	0.18%	0.22%	0.14%	0.91%	1.04%	0.78%
48	0.17%	0.21%	0.13%	0.85%	0.97%	0.73%
47	0.15%	0.19%	0.12%	0.79%	0.9%	0.68%
46	0.14%	0.18%	0.11%	0.74%	0.84%	0.64%
45	0.13%	0.16%	0.1%	0.7%	0.79%	0.61%
44	0.12%	0.15%	0.09%	0.65%	0.73%	0.57%
43	0.11%	0.14%	0.09%	0.61%	0.69%	0.54%
42	0.1%	0.13%	0.08%	0.58%	0.65%	0.51%
41	0.1%	0.12%	0.07%	0.54%	0.6%	0.48%
40	0.09%	0.11%	0.06%	0.52%	0.57%	0.46%
39	0.08%	0.1%	0.06%	0.48%	0.53%	0.43%
38	0.08%	0.1%	0.05%	0.45%	0.5%	0.41%
37	0.07%	0.09%	0.05%	0.43%	0.47%	0.38%
36	0.07%	0.09%	0.05%	0.4%	0.44%	0.36%
35	0.06%	0.08%	0.04%	0.38%	0.42%	0.34%
34	0.06%	0.08%	0.04%	0.36%	0.39%	0.32%
33	0.05%	0.07%	0.04%	0.33%	0.37%	0.3%
32	0.05%	0.07%	0.03%	0.32%	0.35%	0.29%
31	0.05%	0.06%	0.03%	0.3%	0.33%	0.27%
30	0.04%	0.06%	0.03%	0.28%	0.31%	0.26%
29	0.04%	0.06%	0.02%	0.27%	0.3%	0.24%
28	0.04%	0.06%	0.02%	0.26%	0.28%	0.23%
27	0.04%	0.05%	0.02%	0.24%	0.27%	0.21%
26	0.04%	0.05%	0.02%	0.23%	0.26%	0.2%
25	0.04%	0.05%	0.02%	0.22%	0.25%	0.19%
24	0.04%	0.05%	0.02%	0.21%	0.24%	0.18%
23	0.04%	0.05%	0.02%	0.2%	0.23%	0.17%
22	0.03%	0.05%	0.02%	0.19%	0.22%	0.16%
21	0.03%	0.05%	0.02%	0.18%	0.21%	0.15%
20	0.03%	0.05%	0.02%	0.17%	0.19%	0.14%
19	0.03%	0.05%	0.02%	0.15%	0.18%	0.13%
18	0.03%	0.04%	0.02%	0.14%	0.16%	0.12%
17	0.02%	0.03%	0.02%	0.12%	0.14%	0.1%
16	0.02%	0.02%	0.02%	0.11%	0.12%	0.09%
15	0.01%	0.02%	0.01%	0.09%	0.1%	0.08%
14	0.01%	0.01%	0.01%	0.08%	0.09%	0.07%
13	0.009%	0.01%	0.008%	0.07%	0.08%	0.07%
12	0.007%	0.008%	0.006%	0.07%	0.07%	0.06%
11	0.005%	0.006%	0.004%	0.06%	0.07%	0.06%
10	0.004%	0.005%	0.003%	0.06%	0.07%	0.06%
9	0.005%	0.006%	0.004%	0.07%	0.07%	0.06%
8	0.005%	0.006%	0.004%	0.07%	0.08%	0.07%
7	0.005%	0.006%	0.004%	0.08%	0.09%	0.07%
6	0.005%	0.005%	0.005%	0.09%	0.1%	0.09%
5	0.005%	0.006%	0.005%	0.11%	0.11%	0.1%
4	0.007%	0.007%	0.006%	0.14%	0.15%	0.14%
3	0.008%	0.009%	0.007%	0.19%	0.2%	0.19%
2	0.01%	0.01%	0.009%	0.28%	0.28%	0.28%
1	0.03%	0.03%	0.02%	0.44%	0.44%	0.45%
0	0.25%	0.27%	0.23%	2.67%	2.99%	2.35%

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

The annual chance of dying is 0.25% in the birth year in Australia and 2.67% in the Congo, 0.04% vs 0.28% at age 30, 0.43% vs 1.95% at 60, and 3.22% vs 11% at 80.

Death rate by age in Australia vs Congo

Chart Table

Australia

Male

Female

Congo

Male

Female

1x

Age	Death rate
	Australia			Congo
	Total	Male	Female	Total	Male	Female
100	1,031	601	1,426	0	2.72	0
99	1,551	1,099	1,976	73.5	61.5	86.1
98	2,027	1,491	2,537	109.4	89.1	130.4
97	2,538	1,937	3,119	160.2	128.3	193.1
96	3,061	2,423	3,685	227.9	180.2	277
95	3,561	2,924	4,198	315	246.7	385
94	3,992	3,390	4,606	422	329	518
93	4,352	3,809	4,917	552	429	678
92	4,625	4,154	5,123	704	547	865
91	4,791	4,421	5,195	872	679	1,070
90	4,759	4,516	5,034	1,072	841	1,311
89	4,658	4,537	4,805	1,273	1,006	1,549
88	4,499	4,466	4,554	1,492	1,193	1,802
87	4,292	4,337	4,261	1,715	1,387	2,053
86	4,067	4,197	3,942	1,939	1,590	2,297
85	3,789	3,955	3,617	2,150	1,791	2,515
84	3,445	3,628	3,253	2,351	1,991	2,715
83	3,178	3,409	2,939	2,519	2,170	2,871
82	2,923	3,198	2,639	2,671	2,343	3,001
81	2,686	2,981	2,381	2,773	2,477	3,069
80	2,400	2,682	2,108	2,898	2,633	3,165
79	2,152	2,418	1,878	2,932	2,706	3,161
78	1,939	2,192	1,681	2,977	2,793	3,163
77	1,772	2,021	1,522	2,969	2,829	3,109
76	1,592	1,826	1,359	2,960	2,862	3,058
75	1,444	1,664	1,226	2,926	2,871	2,980
74	1,309	1,523	1,099	2,861	2,849	2,875
73	1,189	1,398	986	2,778	2,808	2,754
72	1,076	1,273	886	2,690	2,752	2,634
71	985	1,170	805	2,558	2,649	2,472
70	885	1,056	719	2,476	2,586	2,367
69	806	965	651	2,334	2,463	2,201
68	739	887	597	2,223	2,365	2,075
67	679	818	545	2,103	2,254	1,942
66	625	764	491	1,986	2,143	1,819
65	570	705	438	1,886	2,046	1,717
64	536	666	409	1,784	1,953	1,609
63	503	621	387	1,689	1,862	1,510
62	472	579	366	1,598	1,773	1,420
61	445	547	344	1,493	1,666	1,319
60	409	505	316	1,426	1,596	1,254
59	378	465	291.7	1,327	1,491	1,163
58	348	427	270.2	1,255	1,411	1,098
57	321	393	249.7	1,182	1,332	1,032
56	296.5	363	231.6	1,123	1,266	980
55	279.3	341	218.8	1,067	1,204	927
54	257.9	313	203.5	1,014	1,144	881
53	234.4	282.8	186.4	962	1,084	836
52	214.4	258.3	170.9	915	1,030	797
51	200.9	242.8	159.1	857	966	747
50	186.9	227.1	146.9	820	921	716
49	174.8	214.4	135.8	765	859	669
48	162.1	200.9	124.1	721	807	631
47	149.7	186.6	113.4	676	757	593
46	138.9	173	105.2	638	712	561
45	128.4	158.8	98.3	605	673	534
44	119.9	147.1	92.8	569	631	505
43	109.5	134.8	84.3	539	596	481
42	100	125.5	74.5	513	565	459
41	94.4	119.8	69.2	482	529	434
40	87.9	111.7	64.3	461	506	416
39	80.5	102.8	58.5	434	474	393
38	74.5	96.1	53.3	411	448	373
37	71	92.6	49.6	387	422	352
36	67.8	88.9	47	367	399	334
35	62.9	81.7	44.3	347	377	316
34	57.6	74.8	40.6	326	355	296.8
33	53.2	70.6	35.6	308	336	280.5
32	49.3	66.8	31.4	292.4	319	265.8
31	46.6	63.4	29.2	275.1	301	249.1
30	44.1	61.3	26.1	264.4	288.9	239.4
29	41.9	59.1	23.9	250.5	274.3	226.3
28	40.4	56	23.9	238.5	262.8	213.9
27	38.9	53.1	23.9	227.6	252.1	202.6
26	37.6	52.4	21.9	216.8	242.3	190.8
25	36.6	52.5	19.7	206.9	234.1	179.3
24	36.2	52.5	19.1	197.6	225.7	169
23	35.2	50.8	18.9	188.3	217.3	158.7
22	33.2	47.3	18.4	178.5	207.8	148.7
21	31.9	44.9	18.3	168	196.6	138.8
20	33.1	46	19.5	158	184.2	131.3
19	33.8	47.3	19.6	146.1	170.3	121.4
18	30.9	42.8	18.4	133.5	155.1	111.4
17	24.4	31.5	16.9	117.2	133.7	100.4
16	18.4	21.6	15	101.9	113.8	89.7
15	14.1	15.8	12.3	88	96.3	79.6
14	11	12.3	9.72	76.3	82.8	69.7
13	8.69	9.76	7.56	68.1	73.3	62.8
12	6.59	7.58	5.56	63	68	58
11	4.84	5.74	3.89	60.8	65.6	55.9
10	4.27	5.17	3.33	61	65.2	56.6
9	5.04	6.04	3.98	63.5	67.8	59.1
8	5.31	6.21	4.35	68.7	73.3	64
7	4.97	5.59	4.31	76.9	81.7	72
6	4.88	5.24	4.51	87.5	91.9	82.9
5	5.41	5.71	5.09	104	107.7	100.1
4	6.67	7.32	5.98	135.6	139.5	131.7
3	8.16	9.18	7.09	186.3	189.4	183.1
2	9.8	10.5	9.06	269.7	269.8	269.5
1	25.7	26.6	24.7	433	425	441
0	251.5	269.5	232.5	2,669	2,985	2,347

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 Australia, the most common age of death is 91, compared to 78 in the Congo. The median age of death is 87.5 in Australia and 71.8 in the Congo, 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 Australia and the Congo more than their death rates.

Life expectancy in other countries

+ -

1x