Life Expectancy in Austria vs Bangladesh (1950-2026)

Life expectancy by current age

Chart Table

Austria

Male

Female

Bangladesh

Male

Female

1x

Current age, years	Total life expectancy, years
	Austria			Bangladesh
	Average	Male	Female	Average	Male	Female
100	101.9	101.9	101.9	102.2	101.9	102.3
99	101.1	101	101.1	101.2	100.9	101.3
98	100.2	100.1	100.2	100.3	99.9	100.4
97	99.4	99.3	99.4	99.4	99.1	99.6
96	98.6	98.5	98.6	98.6	98.2	98.8
95	97.8	97.6	97.9	97.8	97.4	98
94	97	96.9	97.1	97	96.6	97.2
93	96.3	96.1	96.4	96.3	95.9	96.5
92	95.6	95.4	95.7	95.5	95.1	95.8
91	94.9	94.6	95.1	94.8	94.4	95.1
90	94.3	94	94.4	94.1	93.6	94.4
89	93.7	93.3	93.8	93.4	92.9	93.8
88	93.1	92.7	93.3	92.8	92.2	93.1
87	92.5	92.1	92.8	92.1	91.6	92.5
86	92	91.5	92.3	91.5	90.9	91.9
85	91.5	90.9	91.8	90.9	90.3	91.3
84	91	90.4	91.4	90.3	89.6	90.8
83	90.6	89.9	91	89.7	89	90.2
82	90.2	89.5	90.7	89.2	88.5	89.7
81	89.8	89	90.3	88.6	87.9	89.2
80	89.4	88.6	90	88.1	87.4	88.7
79	89.1	88.2	89.8	87.6	86.8	88.3
78	88.8	87.9	89.5	87.1	86.3	87.8
77	88.5	87.5	89.3	86.7	85.8	87.4
76	88.2	87.2	89	86.2	85.4	87
75	87.9	86.8	88.8	85.8	84.9	86.6
74	87.7	86.5	88.6	85.4	84.5	86.2
73	87.4	86.2	88.4	85	84	85.9
72	87.1	85.9	88.2	84.6	83.6	85.5
71	86.9	85.6	88	84.2	83.2	85.2
70	86.6	85.3	87.8	83.9	82.9	84.9
69	86.4	85	87.6	83.6	82.5	84.6
68	86.2	84.7	87.5	83.3	82.2	84.3
67	85.9	84.4	87.3	83	81.9	84
66	85.7	84.2	87.1	82.7	81.6	83.8
65	85.5	83.9	87	82.4	81.3	83.5
64	85.4	83.7	86.9	82.2	81.1	83.3
63	85.2	83.5	86.7	81.9	80.8	83.1
62	85	83.3	86.6	81.6	80.5	82.9
61	84.9	83.1	86.5	81.4	80.2	82.7
60	84.7	82.9	86.4	81.2	79.9	82.5
59	84.6	82.8	86.3	80.9	79.6	82.3
58	84.5	82.6	86.2	80.7	79.4	82.2
57	84.3	82.5	86.1	80.5	79.1	82
56	84.2	82.3	86	80.3	78.9	81.8
55	84.1	82.2	86	80.1	78.7	81.7
54	84	82.1	85.9	80	78.5	81.5
53	83.9	82	85.8	79.8	78.3	81.4
52	83.9	81.9	85.8	79.7	78.1	81.3
51	83.8	81.8	85.7	79.5	78	81.1
50	83.7	81.7	85.6	79.4	77.8	81
49	83.7	81.7	85.6	79.2	77.7	80.9
48	83.6	81.6	85.6	79.1	77.6	80.8
47	83.6	81.5	85.5	79	77.4	80.7
46	83.5	81.5	85.5	78.9	77.3	80.6
45	83.5	81.4	85.4	78.8	77.3	80.5
44	83.4	81.3	85.4	78.8	77.2	80.5
43	83.4	81.3	85.4	78.7	77.1	80.4
42	83.3	81.3	85.3	78.6	77	80.3
41	83.3	81.2	85.3	78.5	77	80.2
40	83.3	81.2	85.3	78.5	76.9	80.2
39	83.2	81.1	85.3	78.4	76.8	80.1
38	83.2	81.1	85.2	78.4	76.8	80.1
37	83.2	81.1	85.2	78.3	76.7	80
36	83.2	81	85.2	78.3	76.7	80
35	83.1	81	85.2	78.2	76.6	79.9
34	83.1	81	85.2	78.2	76.6	79.9
33	83.1	80.9	85.2	78.1	76.5	79.8
32	83.1	80.9	85.1	78.1	76.5	79.8
31	83	80.9	85.1	78	76.4	79.8
30	83	80.9	85.1	78	76.4	79.7
29	83	80.8	85.1	77.9	76.3	79.7
28	83	80.8	85.1	77.9	76.3	79.6
27	83	80.8	85.1	77.8	76.2	79.6
26	82.9	80.8	85.1	77.8	76.2	79.6
25	82.9	80.7	85.1	77.8	76.1	79.5
24	82.9	80.7	85.1	77.7	76.1	79.5
23	82.9	80.7	85	77.7	76	79.4
22	82.9	80.7	85	77.6	76	79.4
21	82.8	80.6	85	77.6	75.9	79.3
20	82.8	80.6	85	77.5	75.9	79.3
19	82.8	80.6	85	77.5	75.8	79.2
18	82.8	80.5	85	77.4	75.8	79.2
17	82.8	80.5	85	77.4	75.7	79.1
16	82.8	80.5	85	77.3	75.7	79.1
15	82.8	80.5	85	77.3	75.6	79
14	82.8	80.5	85	77.2	75.6	79
13	82.7	80.5	85	77.2	75.6	78.9
12	82.7	80.5	85	77.2	75.5	78.9
11	82.7	80.5	85	77.1	75.5	78.9
10	82.7	80.5	84.9	77.1	75.5	78.9
9	82.7	80.5	84.9	77.1	75.5	78.8
8	82.7	80.5	84.9	77.1	75.4	78.8
7	82.7	80.5	84.9	77	75.4	78.8
6	82.7	80.5	84.9	77	75.3	78.7
5	82.7	80.5	84.9	76.9	75.3	78.6
4	82.7	80.4	84.9	76.9	75.2	78.6
3	82.7	80.4	84.9	76.8	75.2	78.5
2	82.7	80.4	84.9	76.8	75.2	78.5
1	82.7	80.4	84.9	76.6	75	78.3
0	82.5	80.2	84.7	75.5	73.8	77.2

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 Austria can expect to live to 83 years compared to 78 in Bangladesh, rising to 85.5 and 82.4 at 65, and to 89.4 and 88.1 at 80 — higher than the 82.5 and 75.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Austria

Male

Female

Bangladesh

Male

Female

1x

Age	Survival probability
	Austria			Bangladesh
	Average	Male	Female	Average	Male	Female
100	1.75%	1.04%	2.37%	0.86%	0.36%	1.4%
99	2.72%	1.65%	3.67%	1.37%	0.63%	2.15%
98	4.06%	2.52%	5.44%	2.06%	1.05%	3.16%
97	5.83%	3.71%	7.74%	2.99%	1.63%	4.44%
96	8.08%	5.28%	10.6%	4.16%	2.43%	6.03%
95	10.8%	7.27%	14.1%	5.6%	3.46%	7.92%
94	14%	9.7%	18.1%	7.32%	4.75%	10.1%
93	17.7%	12.6%	22.5%	9.32%	6.3%	12.6%
92	21.8%	15.8%	27.4%	11.6%	8.13%	15.3%
91	26.1%	19.4%	32.4%	14.1%	10.2%	18.3%
90	30.6%	23.2%	37.6%	16.8%	12.6%	21.4%
89	35.1%	27.3%	42.7%	19.8%	15.2%	24.7%
88	39.7%	31.5%	47.6%	22.9%	18%	28.1%
87	44.2%	35.7%	52.4%	26.1%	21%	31.6%
86	48.5%	39.8%	56.8%	29.4%	24.1%	35%
85	52.5%	43.8%	60.9%	32.7%	27.4%	38.5%
84	56.3%	47.7%	64.6%	36.1%	30.7%	41.9%
83	59.7%	51.3%	67.9%	39.4%	34%	45.2%
82	62.8%	54.6%	70.8%	42.7%	37.3%	48.5%
81	65.7%	57.8%	73.4%	45.9%	40.5%	51.7%
80	68.2%	60.6%	75.7%	49%	43.7%	54.7%
79	70.6%	63.3%	77.7%	52%	46.8%	57.6%
78	72.7%	65.8%	79.5%	54.9%	49.9%	60.3%
77	74.7%	68.1%	81.2%	57.7%	52.9%	62.9%
76	76.5%	70.3%	82.7%	60.4%	55.7%	65.3%
75	78.3%	72.4%	84.1%	62.9%	58.5%	67.6%
74	79.9%	74.4%	85.4%	65.2%	61.1%	69.8%
73	81.4%	76.3%	86.6%	67.5%	63.5%	71.8%
72	82.9%	78.2%	87.7%	69.6%	65.8%	73.6%
71	84.3%	79.9%	88.7%	71.5%	68%	75.4%
70	85.6%	81.5%	89.7%	73.4%	69.9%	77%
69	86.8%	83%	90.6%	75.1%	71.8%	78.6%
68	87.9%	84.4%	91.4%	76.6%	73.4%	80%
67	88.9%	85.8%	92.1%	78.1%	75%	81.4%
66	89.9%	87%	92.8%	79.5%	76.4%	82.6%
65	90.7%	88.1%	93.4%	80.7%	77.8%	83.8%
64	91.5%	89.1%	94%	81.9%	79.2%	84.8%
63	92.3%	90%	94.5%	83.1%	80.5%	85.8%
62	92.9%	90.9%	95%	84.2%	81.8%	86.6%
61	93.5%	91.7%	95.4%	85.2%	83%	87.4%
60	94.1%	92.4%	95.8%	86.2%	84.2%	88.1%
59	94.6%	93.1%	96.2%	87.1%	85.4%	88.8%
58	95.1%	93.7%	96.5%	87.9%	86.4%	89.4%
57	95.5%	94.2%	96.8%	88.7%	87.4%	90%
56	95.9%	94.7%	97%	89.4%	88.3%	90.5%
55	96.2%	95.2%	97.3%	90.1%	89.1%	91%
54	96.5%	95.6%	97.5%	90.7%	89.8%	91.5%
53	96.8%	95.9%	97.7%	91.3%	90.5%	92%
52	97%	96.2%	97.9%	91.8%	91.1%	92.4%
51	97.3%	96.5%	98%	92.3%	91.7%	92.8%
50	97.5%	96.8%	98.2%	92.7%	92.2%	93.2%
49	97.6%	97%	98.3%	93.1%	92.6%	93.5%
48	97.8%	97.2%	98.4%	93.4%	93%	93.8%
47	98%	97.4%	98.6%	93.8%	93.4%	94.1%
46	98.1%	97.6%	98.6%	94%	93.7%	94.3%
45	98.2%	97.7%	98.7%	94.3%	94%	94.5%
44	98.3%	97.8%	98.8%	94.5%	94.2%	94.7%
43	98.4%	98%	98.9%	94.7%	94.4%	94.9%
42	98.5%	98.1%	99%	94.9%	94.6%	95.1%
41	98.6%	98.2%	99%	95.1%	94.8%	95.3%
40	98.7%	98.3%	99.1%	95.2%	95%	95.5%
39	98.7%	98.4%	99.1%	95.4%	95.1%	95.6%
38	98.8%	98.5%	99.2%	95.5%	95.3%	95.7%
37	98.9%	98.5%	99.2%	95.6%	95.4%	95.8%
36	98.9%	98.6%	99.3%	95.7%	95.5%	95.9%
35	99%	98.7%	99.3%	95.9%	95.6%	96%
34	99%	98.7%	99.3%	96%	95.8%	96.1%
33	99.1%	98.8%	99.4%	96.1%	95.9%	96.2%
32	99.1%	98.9%	99.4%	96.2%	96%	96.3%
31	99.2%	98.9%	99.4%	96.3%	96.1%	96.4%
30	99.2%	99%	99.4%	96.3%	96.2%	96.5%
29	99.2%	99%	99.4%	96.4%	96.3%	96.5%
28	99.3%	99.1%	99.5%	96.5%	96.4%	96.6%
27	99.3%	99.1%	99.5%	96.6%	96.5%	96.7%
26	99.3%	99.2%	99.5%	96.7%	96.6%	96.8%
25	99.4%	99.2%	99.5%	96.7%	96.7%	96.8%
24	99.4%	99.2%	99.5%	96.8%	96.7%	96.9%
23	99.4%	99.3%	99.6%	96.9%	96.8%	97%
22	99.5%	99.3%	99.6%	97%	96.9%	97%
21	99.5%	99.4%	99.6%	97%	97%	97.1%
20	99.5%	99.4%	99.6%	97.1%	97.1%	97.2%
19	99.5%	99.5%	99.6%	97.2%	97.2%	97.3%
18	99.6%	99.5%	99.6%	97.3%	97.3%	97.4%
17	99.6%	99.5%	99.6%	97.4%	97.4%	97.5%
16	99.6%	99.6%	99.7%	97.5%	97.4%	97.6%
15	99.6%	99.6%	99.7%	97.6%	97.5%	97.6%
14	99.6%	99.6%	99.7%	97.6%	97.6%	97.7%
13	99.6%	99.6%	99.7%	97.7%	97.6%	97.8%
12	99.6%	99.6%	99.7%	97.7%	97.7%	97.8%
11	99.7%	99.6%	99.7%	97.8%	97.7%	97.8%
10	99.7%	99.6%	99.7%	97.8%	97.8%	97.9%
9	99.7%	99.6%	99.7%	97.9%	97.8%	97.9%
8	99.7%	99.6%	99.7%	97.9%	97.8%	98%
7	99.7%	99.6%	99.7%	98%	97.9%	98%
6	99.7%	99.6%	99.7%	98%	97.9%	98.1%
5	99.7%	99.6%	99.7%	98.1%	98%	98.2%
4	99.7%	99.7%	99.7%	98.2%	98.1%	98.3%
3	99.7%	99.7%	99.7%	98.2%	98.1%	98.3%
2	99.7%	99.7%	99.7%	98.3%	98.2%	98.4%
1	99.8%	99.7%	99.8%	98.5%	98.4%	98.6%

This chart shows the odds of living to each age from birth. 94.1% of newborns in Austria and 86.2% in Bangladesh are expected to live past 60, 85.6% and 73.4% past 70, 68.2% and 49% past 80, and only 30.6% and 16.8% past 90.

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

Odds of dying at each age

Chart Table

Austria

Male

Female

Bangladesh

Male

Female

1x

Age	Probability of dying
	Austria			Bangladesh
	Average	Male	Female	Average	Male	Female
100	38.2%	39.4%	37.9%	39.5%	46.5%	37.6%
99	35.6%	37%	35.3%	36.9%	43.4%	35%
98	33%	34.6%	32.5%	33.8%	39.5%	31.9%
97	30.4%	32.1%	29.8%	30.9%	36%	29%
96	27.8%	29.8%	27.1%	28.2%	32.7%	26.3%
95	25.3%	27.4%	24.5%	25.7%	29.8%	23.8%
94	23%	25.1%	22.1%	23.5%	27.1%	21.6%
93	20.8%	22.8%	19.8%	21.4%	24.7%	19.6%
92	18.6%	20.5%	17.6%	19.5%	22.5%	17.9%
91	16.5%	18.4%	15.6%	17.8%	20.5%	16.2%
90	14.7%	16.6%	13.7%	16.3%	18.7%	14.7%
89	13%	14.9%	12%	14.8%	17.1%	13.3%
88	11.5%	13.3%	10.4%	13.5%	15.6%	12.1%
87	10.1%	11.8%	9.04%	12.3%	14.3%	10.9%
86	8.84%	10.4%	7.8%	11.2%	13%	9.89%
85	7.7%	9.18%	6.71%	10.2%	11.9%	8.97%
84	6.67%	8.04%	5.73%	9.3%	10.8%	8.14%
83	5.77%	7.03%	4.88%	8.45%	9.74%	7.4%
82	4.98%	6.14%	4.15%	7.68%	8.82%	6.72%
81	4.31%	5.39%	3.53%	6.98%	8.01%	6.1%
80	3.76%	4.74%	3.01%	6.36%	7.29%	5.53%
79	3.31%	4.22%	2.6%	5.8%	6.68%	5.02%
78	2.94%	3.79%	2.28%	5.29%	6.12%	4.54%
77	2.65%	3.43%	2.02%	4.82%	5.61%	4.11%
76	2.41%	3.14%	1.82%	4.39%	5.14%	3.73%
75	2.22%	2.89%	1.65%	3.99%	4.69%	3.37%
74	2.05%	2.69%	1.51%	3.64%	4.27%	3.06%
73	1.9%	2.5%	1.39%	3.32%	3.87%	2.78%
72	1.76%	2.33%	1.28%	3.02%	3.49%	2.54%
71	1.63%	2.16%	1.17%	2.74%	3.15%	2.32%
70	1.51%	1.99%	1.07%	2.49%	2.82%	2.13%
69	1.38%	1.83%	0.98%	2.26%	2.53%	1.96%
68	1.27%	1.68%	0.89%	2.05%	2.28%	1.81%
67	1.16%	1.53%	0.81%	1.87%	2.07%	1.66%
66	1.05%	1.39%	0.73%	1.72%	1.9%	1.52%
65	0.96%	1.27%	0.67%	1.58%	1.78%	1.38%
64	0.87%	1.15%	0.6%	1.47%	1.69%	1.24%
63	0.79%	1.05%	0.54%	1.38%	1.63%	1.11%
62	0.72%	0.95%	0.49%	1.29%	1.57%	0.99%
61	0.65%	0.86%	0.45%	1.21%	1.51%	0.89%
60	0.59%	0.78%	0.4%	1.12%	1.43%	0.81%
59	0.54%	0.71%	0.37%	1.04%	1.33%	0.74%
58	0.49%	0.64%	0.33%	0.96%	1.23%	0.69%
57	0.44%	0.58%	0.3%	0.88%	1.12%	0.64%
56	0.4%	0.52%	0.28%	0.8%	1.01%	0.6%
55	0.36%	0.47%	0.25%	0.74%	0.91%	0.57%
54	0.32%	0.41%	0.23%	0.68%	0.83%	0.54%
53	0.28%	0.36%	0.2%	0.62%	0.75%	0.5%
52	0.25%	0.32%	0.18%	0.57%	0.68%	0.47%
51	0.22%	0.28%	0.17%	0.52%	0.61%	0.44%
50	0.2%	0.26%	0.15%	0.47%	0.55%	0.4%
49	0.18%	0.23%	0.13%	0.42%	0.48%	0.36%
48	0.17%	0.21%	0.12%	0.37%	0.43%	0.32%
47	0.15%	0.19%	0.11%	0.33%	0.37%	0.28%
46	0.14%	0.18%	0.1%	0.29%	0.33%	0.25%
45	0.12%	0.16%	0.09%	0.26%	0.29%	0.23%
44	0.11%	0.14%	0.08%	0.23%	0.26%	0.21%
43	0.1%	0.13%	0.08%	0.22%	0.23%	0.2%
42	0.09%	0.12%	0.07%	0.2%	0.21%	0.19%
41	0.09%	0.11%	0.06%	0.19%	0.19%	0.18%
40	0.08%	0.1%	0.06%	0.17%	0.18%	0.17%
39	0.07%	0.09%	0.05%	0.16%	0.16%	0.15%
38	0.06%	0.08%	0.05%	0.14%	0.15%	0.14%
37	0.06%	0.08%	0.04%	0.13%	0.14%	0.12%
36	0.06%	0.07%	0.04%	0.12%	0.13%	0.11%
35	0.05%	0.07%	0.03%	0.11%	0.13%	0.1%
34	0.05%	0.07%	0.03%	0.11%	0.12%	0.09%
33	0.05%	0.06%	0.03%	0.1%	0.12%	0.09%
32	0.04%	0.06%	0.03%	0.1%	0.12%	0.09%
31	0.04%	0.06%	0.03%	0.1%	0.12%	0.09%
30	0.04%	0.05%	0.02%	0.1%	0.11%	0.09%
29	0.04%	0.05%	0.02%	0.09%	0.11%	0.08%
28	0.04%	0.05%	0.02%	0.09%	0.1%	0.08%
27	0.03%	0.05%	0.02%	0.08%	0.09%	0.07%
26	0.03%	0.05%	0.02%	0.08%	0.08%	0.07%
25	0.03%	0.04%	0.02%	0.07%	0.08%	0.07%
24	0.03%	0.04%	0.02%	0.07%	0.08%	0.07%
23	0.03%	0.05%	0.01%	0.08%	0.08%	0.07%
22	0.03%	0.05%	0.01%	0.08%	0.08%	0.07%
21	0.03%	0.05%	0.02%	0.08%	0.09%	0.08%
20	0.03%	0.05%	0.02%	0.09%	0.09%	0.09%
19	0.03%	0.04%	0.02%	0.09%	0.1%	0.09%
18	0.03%	0.04%	0.02%	0.1%	0.1%	0.09%
17	0.02%	0.03%	0.01%	0.09%	0.09%	0.09%
16	0.02%	0.02%	0.01%	0.09%	0.09%	0.09%
15	0.01%	0.02%	0.01%	0.08%	0.08%	0.08%
14	0.01%	0.01%	0.009%	0.07%	0.07%	0.07%
13	0.008%	0.009%	0.007%	0.06%	0.05%	0.06%
12	0.007%	0.008%	0.006%	0.05%	0.04%	0.05%
11	0.006%	0.007%	0.005%	0.04%	0.04%	0.04%
10	0.006%	0.007%	0.004%	0.04%	0.03%	0.04%
9	0.005%	0.006%	0.004%	0.04%	0.04%	0.04%
8	0.005%	0.006%	0.004%	0.05%	0.04%	0.05%
7	0.004%	0.005%	0.003%	0.06%	0.05%	0.06%
6	0.004%	0.005%	0.004%	0.07%	0.07%	0.07%
5	0.005%	0.006%	0.004%	0.08%	0.07%	0.08%
4	0.006%	0.007%	0.005%	0.07%	0.07%	0.08%
3	0.009%	0.01%	0.007%	0.06%	0.06%	0.07%
2	0.02%	0.02%	0.01%	0.07%	0.07%	0.07%
1	0.04%	0.05%	0.03%	0.18%	0.18%	0.17%
0	0.25%	0.27%	0.22%	1.53%	1.61%	1.44%

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

The annual chance of dying is 0.25% in the birth year in Austria and 1.53% in Bangladesh, 0.04% vs 0.1% at age 30, 0.59% vs 1.12% at 60, and 3.76% vs 6.36% at 80.

Death rate by age in Austria vs Bangladesh

Chart Table

Austria

Male

Female

Bangladesh

Male

Female

1x

Age	Death rate
	Austria			Bangladesh
	Total	Male	Female	Total	Male	Female
100	478	206.7	711	243.5	52.4	450
99	969	609	1,293	504	274.2	753
98	1,340	870	1,769	698	414	1,006
97	1,772	1,192	2,308	924	588	1,288
96	2,248	1,570	2,881	1,175	796	1,587
95	2,742	1,991	3,453	1,440	1,030	1,887
94	3,228	2,432	3,993	1,718	1,287	2,186
93	3,679	2,866	4,469	1,995	1,557	2,471
92	4,042	3,246	4,828	2,264	1,828	2,735
91	4,313	3,571	5,058	2,514	2,095	2,969
90	4,491	3,848	5,147	2,738	2,353	3,155
89	4,575	4,056	5,105	2,932	2,596	3,297
88	4,561	4,175	4,957	3,093	2,815	3,394
87	4,463	4,210	4,733	3,217	3,003	3,447
86	4,283	4,152	4,433	3,301	3,148	3,465
85	4,044	4,025	4,084	3,347	3,247	3,451
84	3,752	3,831	3,699	3,355	3,299	3,412
83	3,445	3,606	3,315	3,331	3,310	3,348
82	3,130	3,358	2,940	3,279	3,289	3,261
81	2,831	3,111	2,591	3,205	3,246	3,153
80	2,563	2,874	2,280	3,114	3,189	3,027
79	2,336	2,671	2,022	3,015	3,128	2,889
78	2,138	2,492	1,810	2,903	3,054	2,742
77	1,977	2,336	1,640	2,781	2,966	2,589
76	1,846	2,206	1,503	2,649	2,862	2,434
75	1,733	2,095	1,390	2,510	2,740	2,281
74	1,638	2,000	1,293	2,374	2,605	2,137
73	1,550	1,911	1,205	2,238	2,458	1,998
72	1,462	1,819	1,120	2,099	2,301	1,868
71	1,376	1,723	1,039	1,961	2,138	1,748
70	1,288	1,624	962	1,826	1,974	1,638
69	1,200	1,520	887	1,697	1,817	1,540
68	1,115	1,415	816	1,574	1,674	1,445
67	1,030	1,311	747	1,463	1,551	1,351
66	948	1,210	682	1,364	1,452	1,255
65	871	1,116	622	1,278	1,382	1,154
64	800	1,027	566	1,206	1,339	1,052
63	732	945	514	1,143	1,310	953
62	669	867	468	1,085	1,285	861
61	611	791	425	1,028	1,253	781
60	557	722	387	968	1,203	714
59	509	661	353	906	1,138	659
58	465	604	321	841	1,059	615
57	424	550	294.5	778	975	577
56	384	497	269.1	718	892	545
55	345	445	244.2	664	814	516
54	307	394	220.4	615	743	490
53	273	348	198.8	570	679	464
52	242.9	307	179.4	526	618	437
51	217.7	273.4	162.1	482	560	406
50	197.1	247.3	146.6	437	503	371
49	179.3	226	132.1	391	448	334
48	162.9	207	118.1	347	396	296.7
47	147.9	189.1	105.6	307	349	263.5
46	134.1	171.4	95.5	272.6	308	235.8
45	121.3	154.5	87.3	244	272.8	214.7
44	109.9	138.9	80.6	221.8	243.8	200.3
43	100.4	125.5	74.9	204.5	219.6	190.2
42	92	114	69.5	190.1	199.2	181.9
41	84.3	104.4	63.5	177.1	181.7	173
40	76.6	95.5	57.1	164	166.5	161.7
39	69.2	87.1	50.6	149.7	153.1	146.8
38	63.3	80.7	45.2	135.6	141.5	130.4
37	59.2	76.6	41	123.1	132.1	115.1
36	56.1	73.9	37.6	112.9	124.8	102.4
35	53.4	71.3	34.6	105.6	119.7	93.2
34	50.3	67.9	31.7	101.3	116.7	87.9
33	46.8	63.4	29.2	99.2	115.2	85.6
32	43.5	59	27.1	98.3	114.1	85
31	40.4	54.8	25.2	97.4	112.5	84.9
30	38	51.4	23.9	95.3	109.1	84
29	36.1	48.9	22.7	90.9	103.1	81.1
28	34.8	47.2	21.6	85.2	95.6	76.8
27	33.6	46.1	20.3	79.3	88.1	72.3
26	32.4	45.2	18.7	74.5	81.9	68.5
25	31.1	44.5	17	71.7	78	66.4
24	30.2	44.2	15.4	71	76.7	66.2
23	30	44.8	14.5	73	78.2	68.4
22	30.9	46.3	14.6	76.9	81.7	72.4
21	31.6	47.4	15	81.9	86.3	77.8
20	31.2	46.6	15.2	87.2	90.9	83.5
19	29.4	43	15.2	91.1	93.9	88.3
18	26.4	37.2	15	92.8	94.5	91
17	22.3	30	14.2	91.4	92	90.8
16	17.3	21.9	12.5	86.6	86.2	87
15	13	15.4	10.5	78	77	79
14	9.77	11	8.49	66.5	65.4	67.8
13	7.93	8.84	6.96	54.3	53.3	55.5
12	6.86	7.81	5.85	44.1	43.2	45.1
11	6.17	7.22	5.05	37.7	36.8	38.7
10	5.6	6.71	4.43	34.4	33.5	35.3
9	5.14	6.23	3.98	36.2	35	37.5
8	4.61	5.62	3.55	44.9	42.8	47
7	4.32	5.23	3.37	56.8	53.6	60.1
6	4.45	5.28	3.57	67.8	63.8	72.1
5	5.03	5.9	4.12	74.1	69.7	78.7
4	6.2	7.34	5	71.7	67.9	75.7
3	8.99	10.8	7.1	61.4	58.9	63.9
2	16.7	19.9	13.2	70.1	68.9	71.4
1	40.3	46.9	33.3	172.9	175.4	170.2
0	245.7	266.7	223.4	1,530	1,613	1,443

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 Austria, the most common age of death is 89, compared to 84 in Bangladesh. The median age of death is 85.6 in Austria and 79.7 in Bangladesh, 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 Austria and Bangladesh more than their death rates.

Life expectancy in other countries

+ -

1x