Life Expectancy in Australia vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Australia

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Australia			Tanzania
	Average	Male	Female	Average	Male	Female
100	102.1	102	102.1	102.5	101.9	102.6
99	101.3	101.1	101.3	101.7	101	101.7
98	100.4	100.3	100.5	100.8	100.1	100.9
97	99.6	99.5	99.7	100	99.2	100.1
96	98.9	98.7	98.9	99.1	98.4	99.3
95	98.1	97.9	98.2	98.3	97.5	98.4
94	97.4	97.2	97.5	97.4	96.6	97.7
93	96.7	96.4	96.8	96.6	95.8	96.9
92	96	95.7	96.2	95.8	94.9	96.1
91	95.4	95.1	95.6	95.1	94.1	95.4
90	94.8	94.4	95	94.3	93.3	94.6
89	94.2	93.8	94.5	93.5	92.5	93.9
88	93.7	93.2	94	92.7	91.7	93.2
87	93.2	92.7	93.5	92	90.9	92.5
86	92.7	92.2	93.1	91.3	90.1	91.9
85	92.2	91.7	92.6	90.6	89.4	91.2
84	91.8	91.2	92.3	89.9	88.7	90.6
83	91.4	90.8	91.9	89.2	88	90
82	91	90.4	91.6	88.6	87.3	89.4
81	90.7	90	91.3	87.9	86.6	88.9
80	90.3	89.6	91	87.3	86	88.3
79	90	89.3	90.7	86.8	85.3	87.8
78	89.8	89	90.5	86.2	84.7	87.3
77	89.5	88.7	90.2	85.6	84.1	86.8
76	89.2	88.4	90	85.1	83.5	86.3
75	89	88.1	89.8	84.5	83	85.8
74	88.8	87.8	89.6	84	82.4	85.3
73	88.6	87.6	89.4	83.5	81.9	84.8
72	88.4	87.4	89.3	83	81.4	84.3
71	88.2	87.2	89.1	82.5	80.9	83.9
70	88	87	89	82.1	80.4	83.4
69	87.8	86.8	88.8	81.6	79.9	83
68	87.7	86.6	88.7	81.2	79.4	82.6
67	87.5	86.4	88.6	80.7	79	82.2
66	87.4	86.2	88.4	80.3	78.5	81.8
65	87.2	86.1	88.3	79.9	78.1	81.4
64	87.1	85.9	88.2	79.5	77.6	81
63	87	85.8	88.1	79.1	77.2	80.7
62	86.9	85.6	88	78.7	76.8	80.3
61	86.7	85.5	87.9	78.4	76.4	80
60	86.6	85.3	87.9	78	76.1	79.7
59	86.5	85.2	87.8	77.7	75.7	79.4
58	86.4	85.1	87.7	77.4	75.4	79.1
57	86.3	85	87.6	77.1	75	78.9
56	86.2	84.9	87.5	76.8	74.7	78.6
55	86.1	84.8	87.5	76.5	74.4	78.3
54	86.1	84.7	87.4	76.2	74.1	78.1
53	86	84.6	87.3	75.9	73.8	77.9
52	85.9	84.5	87.3	75.7	73.5	77.6
51	85.8	84.4	87.2	75.4	73.3	77.4
50	85.8	84.3	87.2	75.2	73	77.2
49	85.7	84.2	87.1	75	72.7	77
48	85.6	84.2	87.1	74.7	72.5	76.8
47	85.6	84.1	87	74.5	72.3	76.6
46	85.5	84	87	74.3	72	76.5
45	85.5	84	86.9	74.1	71.8	76.3
44	85.4	83.9	86.9	73.9	71.6	76.1
43	85.4	83.9	86.8	73.8	71.4	76
42	85.3	83.8	86.8	73.6	71.2	75.8
41	85.3	83.7	86.8	73.4	71	75.6
40	85.2	83.7	86.8	73.2	70.8	75.5
39	85.2	83.7	86.7	73.1	70.7	75.4
38	85.2	83.6	86.7	72.9	70.5	75.2
37	85.1	83.6	86.7	72.8	70.3	75.1
36	85.1	83.5	86.6	72.6	70.2	75
35	85.1	83.5	86.6	72.5	70	74.8
34	85	83.4	86.6	72.4	69.9	74.7
33	85	83.4	86.6	72.2	69.7	74.6
32	85	83.4	86.6	72.1	69.6	74.5
31	85	83.3	86.6	72	69.5	74.4
30	84.9	83.3	86.5	71.9	69.3	74.3
29	84.9	83.3	86.5	71.8	69.2	74.2
28	84.9	83.2	86.5	71.7	69.1	74.1
27	84.9	83.2	86.5	71.6	69	74
26	84.9	83.2	86.5	71.4	68.9	73.9
25	84.8	83.2	86.5	71.4	68.7	73.9
24	84.8	83.1	86.5	71.3	68.6	73.8
23	84.8	83.1	86.4	71.2	68.5	73.7
22	84.8	83.1	86.4	71.1	68.4	73.6
21	84.7	83	86.4	71	68.3	73.6
20	84.7	83	86.4	70.9	68.2	73.5
19	84.7	83	86.4	70.8	68.1	73.4
18	84.7	83	86.4	70.8	68.1	73.4
17	84.7	82.9	86.4	70.7	68	73.3
16	84.7	82.9	86.4	70.6	67.9	73.3
15	84.6	82.9	86.4	70.6	67.9	73.2
14	84.6	82.9	86.3	70.5	67.8	73.2
13	84.6	82.9	86.3	70.5	67.8	73.2
12	84.6	82.9	86.3	70.5	67.7	73.1
11	84.6	82.9	86.3	70.4	67.7	73.1
10	84.6	82.9	86.3	70.4	67.7	73.1
9	84.6	82.9	86.3	70.4	67.6	73
8	84.6	82.9	86.3	70.3	67.6	73
7	84.6	82.9	86.3	70.3	67.5	72.9
6	84.6	82.9	86.3	70.2	67.5	72.9
5	84.6	82.9	86.3	70.2	67.4	72.8
4	84.6	82.8	86.3	70.1	67.3	72.7
3	84.6	82.8	86.3	69.9	67.2	72.6
2	84.6	82.8	86.3	69.8	67	72.4
1	84.6	82.8	86.3	69.5	66.8	72.2
0	84.3	82.6	86.1	67.6	64.8	70.4

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 71.9 in Tanzania, rising to 87.2 and 79.9 at 65, and to 90.3 and 87.3 at 80 — higher than the 84.3 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Australia

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Australia			Tanzania
	Average	Male	Female	Average	Male	Female
100	3.24%	2.1%	4.28%	0.67%	0.12%	1.28%
99	4.79%	3.2%	6.26%	0.94%	0.2%	1.76%
98	6.82%	4.69%	8.79%	1.29%	0.3%	2.36%
97	9.35%	6.63%	11.9%	1.73%	0.46%	3.12%
96	12.4%	9.05%	15.6%	2.29%	0.68%	4.05%
95	16%	12%	19.8%	2.99%	0.98%	5.16%
94	20%	15.4%	24.4%	3.82%	1.38%	6.46%
93	24.3%	19.2%	29.3%	4.81%	1.89%	7.95%
92	28.9%	23.3%	34.4%	5.97%	2.55%	9.63%
91	33.7%	27.7%	39.6%	7.28%	3.35%	11.5%
90	38.5%	32.3%	44.7%	8.82%	4.35%	13.5%
89	43.2%	36.8%	49.5%	10.5%	5.52%	15.7%
88	47.7%	41.3%	54%	12.4%	6.9%	18.1%
87	51.9%	45.6%	58.3%	14.4%	8.47%	20.5%
86	56%	49.8%	62.2%	16.6%	10.2%	23.1%
85	59.8%	53.8%	65.8%	19%	12.2%	25.7%
84	63.2%	57.4%	69.1%	21.4%	14.3%	28.4%
83	66.4%	60.8%	72%	23.9%	16.6%	31%
82	69.3%	64%	74.7%	26.5%	19%	33.6%
81	72%	67%	77.1%	29%	21.4%	36.1%
80	74.4%	69.7%	79.2%	31.5%	24%	38.5%
79	76.6%	72.1%	81%	34.1%	26.6%	41%
78	78.5%	74.3%	82.7%	36.6%	29.2%	43.4%
77	80.3%	76.3%	84.2%	39.2%	31.8%	45.8%
76	81.9%	78.1%	85.6%	41.7%	34.5%	48.2%
75	83.3%	79.8%	86.8%	44.2%	37.1%	50.6%
74	84.6%	81.3%	87.9%	46.6%	39.7%	52.9%
73	85.8%	82.7%	88.9%	49%	42.2%	55.1%
72	86.9%	84%	89.8%	51.3%	44.7%	57.3%
71	87.9%	85.1%	90.6%	53.5%	47.1%	59.4%
70	88.8%	86.2%	91.3%	55.7%	49.5%	61.4%
69	89.6%	87.2%	92%	57.7%	51.8%	63.3%
68	90.3%	88%	92.6%	59.7%	54%	65.2%
67	91%	88.9%	93.1%	61.7%	56.2%	67%
66	91.6%	89.6%	93.6%	63.6%	58.3%	68.8%
65	92.2%	90.3%	94.1%	65.4%	60.3%	70.5%
64	92.7%	91%	94.5%	67.2%	62.3%	72%
63	93.2%	91.6%	94.8%	68.8%	64.2%	73.5%
62	93.7%	92.2%	95.2%	70.4%	66%	74.9%
61	94.2%	92.7%	95.6%	71.9%	67.6%	76.2%
60	94.6%	93.3%	95.9%	73.3%	69.3%	77.5%
59	94.9%	93.7%	96.2%	74.7%	70.8%	78.6%
58	95.3%	94.1%	96.4%	75.9%	72.2%	79.7%
57	95.6%	94.5%	96.7%	77.1%	73.6%	80.7%
56	95.9%	94.9%	96.9%	78.2%	74.9%	81.6%
55	96.2%	95.2%	97.1%	79.3%	76.1%	82.5%
54	96.4%	95.6%	97.3%	80.3%	77.3%	83.3%
53	96.7%	95.8%	97.5%	81.3%	78.4%	84.2%
52	96.9%	96.1%	97.7%	82.2%	79.4%	84.9%
51	97.1%	96.3%	97.9%	83%	80.4%	85.6%
50	97.3%	96.6%	98%	83.9%	81.4%	86.3%
49	97.5%	96.8%	98.1%	84.6%	82.3%	86.9%
48	97.6%	97%	98.3%	85.3%	83.1%	87.5%
47	97.8%	97.2%	98.4%	86%	83.9%	88.1%
46	97.9%	97.3%	98.5%	86.6%	84.7%	88.6%
45	98%	97.5%	98.6%	87.2%	85.4%	89.1%
44	98.2%	97.6%	98.7%	87.8%	86%	89.6%
43	98.3%	97.8%	98.8%	88.3%	86.7%	90%
42	98.4%	97.9%	98.8%	88.8%	87.2%	90.5%
41	98.5%	98%	98.9%	89.3%	87.8%	90.8%
40	98.5%	98.1%	99%	89.8%	88.3%	91.2%
39	98.6%	98.2%	99%	90.2%	88.8%	91.6%
38	98.7%	98.3%	99.1%	90.6%	89.3%	91.9%
37	98.8%	98.4%	99.1%	91%	89.8%	92.2%
36	98.8%	98.5%	99.2%	91.3%	90.2%	92.5%
35	98.9%	98.6%	99.2%	91.7%	90.6%	92.8%
34	99%	98.7%	99.3%	92%	90.9%	93.1%
33	99%	98.7%	99.3%	92.3%	91.3%	93.3%
32	99.1%	98.8%	99.3%	92.6%	91.6%	93.6%
31	99.1%	98.9%	99.4%	92.9%	92%	93.8%
30	99.2%	98.9%	99.4%	93.1%	92.3%	94%
29	99.2%	99%	99.4%	93.4%	92.5%	94.2%
28	99.2%	99%	99.4%	93.6%	92.8%	94.4%
27	99.3%	99.1%	99.5%	93.8%	93.1%	94.6%
26	99.3%	99.2%	99.5%	94%	93.3%	94.8%
25	99.3%	99.2%	99.5%	94.2%	93.6%	94.9%
24	99.4%	99.3%	99.5%	94.4%	93.8%	95.1%
23	99.4%	99.3%	99.5%	94.6%	94%	95.2%
22	99.5%	99.4%	99.5%	94.8%	94.2%	95.4%
21	99.5%	99.4%	99.6%	95%	94.4%	95.5%
20	99.5%	99.4%	99.6%	95.1%	94.6%	95.6%
19	99.5%	99.5%	99.6%	95.3%	94.8%	95.7%
18	99.6%	99.5%	99.6%	95.4%	95%	95.8%
17	99.6%	99.6%	99.6%	95.5%	95.1%	95.9%
16	99.6%	99.6%	99.7%	95.6%	95.2%	96%
15	99.6%	99.6%	99.7%	95.7%	95.3%	96.1%
14	99.6%	99.6%	99.7%	95.8%	95.4%	96.1%
13	99.7%	99.6%	99.7%	95.8%	95.5%	96.2%
12	99.7%	99.6%	99.7%	95.9%	95.5%	96.2%
11	99.7%	99.6%	99.7%	95.9%	95.6%	96.3%
10	99.7%	99.6%	99.7%	96%	95.7%	96.4%
9	99.7%	99.7%	99.7%	96.1%	95.7%	96.4%
8	99.7%	99.7%	99.7%	96.1%	95.8%	96.5%
7	99.7%	99.7%	99.7%	96.2%	95.9%	96.5%
6	99.7%	99.7%	99.7%	96.3%	96%	96.6%
5	99.7%	99.7%	99.7%	96.4%	96.1%	96.7%
4	99.7%	99.7%	99.7%	96.5%	96.2%	96.8%
3	99.7%	99.7%	99.7%	96.7%	96.4%	97%
2	99.7%	99.7%	99.7%	96.9%	96.6%	97.2%
1	99.7%	99.7%	99.8%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 94.6% of newborns in Australia and 73.3% in Tanzania are expected to live past 60, 88.8% and 55.7% past 70, 74.4% and 31.5% past 80, and only 38.5% and 8.82% 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

Tanzania

Male

Female

1x

Age	Probability of dying
	Australia			Tanzania
	Average	Male	Female	Average	Male	Female
100	34.8%	36.8%	34.1%	29.4%	38.6%	28.4%
99	32.4%	34.4%	31.6%	28.3%	37.1%	27.2%
98	29.7%	31.8%	28.9%	26.8%	35.3%	25.5%
97	27.1%	29.2%	26.2%	25.7%	33.9%	24.3%
96	24.7%	26.8%	23.6%	24.5%	32.3%	23%
95	22.3%	24.4%	21.2%	23.3%	30.7%	21.6%
94	20%	22.1%	18.9%	21.8%	28.9%	20.1%
93	17.9%	19.9%	16.8%	20.6%	27.3%	18.7%
92	16%	17.8%	14.9%	19.4%	25.7%	17.5%
91	14.2%	15.9%	13.1%	18.1%	24%	16%
90	12.4%	14%	11.3%	17.4%	22.9%	15.3%
89	10.8%	12.3%	9.71%	16.1%	21.3%	13.9%
88	9.44%	10.8%	8.43%	15.2%	20%	13%
87	8.26%	9.51%	7.31%	14.2%	18.6%	12%
86	7.26%	8.43%	6.33%	13.3%	17.3%	11.1%
85	6.34%	7.36%	5.49%	12.3%	16%	10.2%
84	5.45%	6.32%	4.71%	11.4%	14.9%	9.37%
83	4.78%	5.61%	4.08%	10.4%	13.7%	8.46%
82	4.21%	5%	3.53%	9.6%	12.6%	7.7%
81	3.73%	4.45%	3.09%	8.6%	11.4%	6.8%
80	3.22%	3.85%	2.66%	8.09%	10.6%	6.4%
79	2.81%	3.36%	2.32%	7.47%	9.73%	5.95%
78	2.47%	2.95%	2.03%	7.01%	9.02%	5.65%
77	2.21%	2.65%	1.81%	6.47%	8.26%	5.24%
76	1.94%	2.34%	1.59%	6.05%	7.65%	4.95%
75	1.73%	2.09%	1.41%	5.63%	7.08%	4.66%
74	1.55%	1.87%	1.25%	5.22%	6.52%	4.35%
73	1.39%	1.69%	1.11%	4.83%	6.02%	4.06%
72	1.24%	1.52%	0.99%	4.5%	5.58%	3.8%
71	1.12%	1.37%	0.89%	4.12%	5.1%	3.49%
70	1%	1.22%	0.79%	3.91%	4.8%	3.33%
69	0.9%	1.11%	0.71%	3.59%	4.41%	3.06%
68	0.82%	1.01%	0.65%	3.37%	4.12%	2.88%
67	0.75%	0.92%	0.58%	3.16%	3.84%	2.7%
66	0.68%	0.85%	0.52%	2.97%	3.6%	2.54%
65	0.62%	0.78%	0.47%	2.83%	3.4%	2.41%
64	0.58%	0.73%	0.43%	2.61%	3.15%	2.2%
63	0.54%	0.68%	0.41%	2.42%	2.92%	2.02%
62	0.5%	0.63%	0.38%	2.25%	2.71%	1.86%
61	0.47%	0.59%	0.36%	2.06%	2.49%	1.7%
60	0.43%	0.54%	0.33%	1.94%	2.34%	1.58%
59	0.4%	0.5%	0.3%	1.78%	2.14%	1.44%
58	0.37%	0.45%	0.28%	1.66%	1.99%	1.34%
57	0.34%	0.42%	0.26%	1.54%	1.85%	1.24%
56	0.31%	0.38%	0.24%	1.44%	1.73%	1.16%
55	0.29%	0.36%	0.23%	1.35%	1.62%	1.09%
54	0.27%	0.33%	0.21%	1.26%	1.52%	1.02%
53	0.24%	0.3%	0.19%	1.18%	1.42%	0.95%
52	0.22%	0.27%	0.17%	1.11%	1.34%	0.9%
51	0.21%	0.25%	0.16%	1.03%	1.24%	0.83%
50	0.19%	0.24%	0.15%	0.97%	1.17%	0.79%
49	0.18%	0.22%	0.14%	0.9%	1.08%	0.73%
48	0.17%	0.21%	0.13%	0.84%	1.01%	0.68%
47	0.15%	0.19%	0.12%	0.78%	0.94%	0.63%
46	0.14%	0.18%	0.11%	0.73%	0.88%	0.59%
45	0.13%	0.16%	0.1%	0.69%	0.83%	0.56%
44	0.12%	0.15%	0.09%	0.64%	0.77%	0.52%
43	0.11%	0.14%	0.09%	0.6%	0.72%	0.49%
42	0.1%	0.13%	0.08%	0.57%	0.68%	0.47%
41	0.1%	0.12%	0.07%	0.53%	0.63%	0.44%
40	0.09%	0.11%	0.06%	0.51%	0.6%	0.42%
39	0.08%	0.1%	0.06%	0.47%	0.56%	0.39%
38	0.08%	0.1%	0.05%	0.45%	0.53%	0.37%
37	0.07%	0.09%	0.05%	0.42%	0.5%	0.34%
36	0.07%	0.09%	0.05%	0.39%	0.47%	0.33%
35	0.06%	0.08%	0.04%	0.37%	0.44%	0.31%
34	0.06%	0.08%	0.04%	0.35%	0.41%	0.29%
33	0.05%	0.07%	0.04%	0.33%	0.39%	0.27%
32	0.05%	0.07%	0.03%	0.31%	0.37%	0.25%
31	0.05%	0.06%	0.03%	0.29%	0.34%	0.24%
30	0.04%	0.06%	0.03%	0.28%	0.33%	0.23%
29	0.04%	0.06%	0.02%	0.26%	0.31%	0.21%
28	0.04%	0.06%	0.02%	0.25%	0.3%	0.2%
27	0.04%	0.05%	0.02%	0.24%	0.28%	0.19%
26	0.04%	0.05%	0.02%	0.22%	0.27%	0.18%
25	0.04%	0.05%	0.02%	0.21%	0.26%	0.17%
24	0.04%	0.05%	0.02%	0.2%	0.25%	0.16%
23	0.04%	0.05%	0.02%	0.19%	0.24%	0.15%
22	0.03%	0.05%	0.02%	0.18%	0.23%	0.14%
21	0.03%	0.05%	0.02%	0.17%	0.21%	0.13%
20	0.03%	0.05%	0.02%	0.16%	0.2%	0.13%
19	0.03%	0.05%	0.02%	0.15%	0.18%	0.12%
18	0.03%	0.04%	0.02%	0.14%	0.17%	0.11%
17	0.02%	0.03%	0.02%	0.12%	0.14%	0.1%
16	0.02%	0.02%	0.02%	0.1%	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%	0.06%
12	0.007%	0.008%	0.006%	0.06%	0.07%	0.06%
11	0.005%	0.006%	0.004%	0.06%	0.07%	0.05%
10	0.004%	0.005%	0.003%	0.06%	0.07%	0.05%
9	0.005%	0.006%	0.004%	0.06%	0.07%	0.06%
8	0.005%	0.006%	0.004%	0.07%	0.07%	0.06%
7	0.005%	0.006%	0.004%	0.08%	0.08%	0.07%
6	0.005%	0.005%	0.005%	0.08%	0.09%	0.08%
5	0.005%	0.006%	0.005%	0.1%	0.11%	0.09%
4	0.007%	0.007%	0.006%	0.13%	0.14%	0.12%
3	0.008%	0.009%	0.007%	0.18%	0.18%	0.17%
2	0.01%	0.01%	0.009%	0.25%	0.26%	0.25%
1	0.03%	0.03%	0.02%	0.41%	0.41%	0.4%
0	0.25%	0.27%	0.23%	2.69%	2.99%	2.38%

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

The annual chance of dying is 0.25% in the birth year in Australia and 2.69% in Tanzania, 0.04% vs 0.28% at age 30, 0.43% vs 1.94% at 60, and 3.22% vs 8.09% at 80.

Death rate by age in Australia vs Tanzania

Chart Table

Australia

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Australia			Tanzania
	Total	Male	Female	Total	Male	Female
100	1,031	601	1,426	140.1	0.71	294.9
99	1,551	1,099	1,976	266.5	72.6	478
98	2,027	1,491	2,537	344	107.1	602
97	2,538	1,937	3,119	444	155.1	756
96	3,061	2,423	3,685	562	218.8	930
95	3,561	2,924	4,198	695	300	1,116
94	3,992	3,390	4,606	834	398	1,297
93	4,352	3,809	4,917	989	516	1,486
92	4,625	4,154	5,123	1,159	656	1,682
91	4,791	4,421	5,195	1,316	805	1,836
90	4,759	4,516	5,034	1,536	994	2,078
89	4,658	4,537	4,805	1,690	1,174	2,190
88	4,499	4,466	4,554	1,881	1,377	2,351
87	4,292	4,337	4,261	2,045	1,575	2,462
86	4,067	4,197	3,942	2,207	1,777	2,566
85	3,789	3,955	3,617	2,336	1,957	2,629
84	3,445	3,628	3,253	2,452	2,143	2,662
83	3,178	3,409	2,939	2,499	2,269	2,625
82	2,923	3,198	2,639	2,540	2,389	2,588
81	2,686	2,981	2,381	2,490	2,434	2,451
80	2,400	2,682	2,108	2,549	2,548	2,467
79	2,152	2,418	1,878	2,545	2,586	2,439
78	1,939	2,192	1,681	2,569	2,636	2,453
77	1,772	2,021	1,522	2,533	2,630	2,402
76	1,592	1,826	1,359	2,519	2,638	2,384
75	1,444	1,664	1,226	2,489	2,625	2,358
74	1,309	1,523	1,099	2,431	2,589	2,297
73	1,189	1,398	986	2,367	2,543	2,235
72	1,076	1,273	886	2,309	2,496	2,179
71	985	1,170	805	2,205	2,404	2,072
70	885	1,056	719	2,174	2,375	2,046
69	806	965	651	2,072	2,284	1,936
68	739	887	597	2,015	2,226	1,877
67	679	818	545	1,948	2,160	1,806
66	625	764	491	1,889	2,097	1,743
65	570	705	438	1,848	2,051	1,698
64	536	666	409	1,753	1,961	1,588
63	503	621	387	1,666	1,874	1,488
62	472	579	366	1,583	1,789	1,396
61	445	547	344	1,484	1,686	1,293
60	409	505	316	1,422	1,617	1,227
59	378	465	291.7	1,327	1,514	1,135
58	348	427	270.2	1,257	1,436	1,069
57	321	393	249.7	1,185	1,359	1,002
56	296.5	363	231.6	1,126	1,294	949
55	279.3	341	218.8	1,069	1,234	895
54	257.9	313	203.5	1,015	1,174	848
53	234.4	282.8	186.4	962	1,116	802
52	214.4	258.3	170.9	914	1,062	763
51	200.9	242.8	159.1	856	999	711
50	186.9	227.1	146.9	817	955	680
49	174.8	214.4	135.8	761	892	633
48	162.1	200.9	124.1	716	840	596
47	149.7	186.6	113.4	671	789	558
46	138.9	173	105.2	632	744	525
45	128.4	158.8	98.3	599	705	498
44	119.9	147.1	92.8	563	661	469
43	109.5	134.8	84.3	533	625	445
42	100	125.5	74.5	507	593	423
41	94.4	119.8	69.2	476	557	397
40	87.9	111.7	64.3	455	533	380
39	80.5	102.8	58.5	428	500	357
38	74.5	96.1	53.3	405	473	338
37	71	92.6	49.6	382	446	318
36	67.8	88.9	47	361	420	301
35	62.9	81.7	44.3	341	398	284.4
34	57.6	74.8	40.6	321	375	266.3
33	53.2	70.6	35.6	303	353	251.3
32	49.3	66.8	31.4	286.8	335	237.8
31	46.6	63.4	29.2	269.7	316	222.6
30	44.1	61.3	26.1	258.9	303	213.8
29	41.9	59.1	23.9	245	287.2	202.1
28	40.4	56	23.9	233.1	274.4	191
27	38.9	53.1	23.9	222.2	262.5	181.1
26	37.6	52.4	21.9	211.5	251.5	171
25	36.6	52.5	19.7	201.9	242.2	161.1
24	36.2	52.5	19.1	192.7	232.5	152.5
23	35.2	50.8	18.9	183.7	223.1	143.7
22	33.2	47.3	18.4	174.2	212.6	135.4
21	31.9	44.9	18.3	164	200.4	127
20	33.1	46	19.5	154.3	187.4	120.7
19	33.8	47.3	19.6	142.8	172.9	112.2
18	30.9	42.8	18.4	130.5	157.1	103.4
17	24.4	31.5	16.9	114.1	134.6	93.3
16	18.4	21.6	15	98.8	113.8	83.6
15	14.1	15.8	12.3	85	95.7	74
14	11	12.3	9.72	73.3	81.7	64.7
13	8.69	9.76	7.56	65.1	71.8	58.2
12	6.59	7.58	5.56	60	66.3	53.6
11	4.84	5.74	3.89	57.8	63.8	51.6
10	4.27	5.17	3.33	57.7	63	52.2
9	5.04	6.04	3.98	59.9	65.2	54.4
8	5.31	6.21	4.35	64.7	70.4	58.8
7	4.97	5.59	4.31	72.2	78.1	66.1
6	4.88	5.24	4.51	81.7	87.3	76
5	5.41	5.71	5.09	96.7	101.8	91.4
4	6.67	7.32	5.98	125.6	131.7	119.3
3	8.16	9.18	7.09	171.2	177.9	164.3
2	9.8	10.5	9.06	246.7	252.7	240.5
1	25.7	26.6	24.7	394	394	394
0	251.5	269.5	232.5	2,690	2,990	2,383

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 0 in Tanzania. The median age of death is 87.5 in Australia and 72.6 in Tanzania, 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 Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x