Life Expectancy in Bangladesh vs Hungary (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Hungary

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Hungary
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.1	102	102.2
99	101.2	100.9	101.3	101.2	101.1	101.3
98	100.3	99.9	100.4	100.3	100.2	100.4
97	99.4	99.1	99.6	99.5	99.4	99.5
96	98.6	98.2	98.8	98.6	98.5	98.7
95	97.8	97.4	98	97.8	97.7	97.9
94	97	96.6	97.2	97	96.9	97.1
93	96.3	95.9	96.5	96.3	96.1	96.3
92	95.5	95.1	95.8	95.5	95.3	95.6
91	94.8	94.4	95.1	94.8	94.5	94.8
90	94.1	93.6	94.4	94	93.8	94.1
89	93.4	92.9	93.8	93.4	93.1	93.5
88	92.8	92.2	93.1	92.7	92.4	92.8
87	92.1	91.6	92.5	92.1	91.7	92.2
86	91.5	90.9	91.9	91.4	91	91.6
85	90.9	90.3	91.3	90.8	90.4	91
84	90.3	89.6	90.8	90.2	89.7	90.5
83	89.7	89	90.2	89.7	89.1	89.9
82	89.2	88.5	89.7	89.1	88.5	89.4
81	88.6	87.9	89.2	88.6	87.9	89
80	88.1	87.4	88.7	88.1	87.4	88.5
79	87.6	86.8	88.3	87.7	86.8	88.1
78	87.1	86.3	87.8	87.2	86.3	87.7
77	86.7	85.8	87.4	86.8	85.8	87.4
76	86.2	85.4	87	86.4	85.3	87
75	85.8	84.9	86.6	86	84.8	86.7
74	85.4	84.5	86.2	85.6	84.4	86.4
73	85	84	85.9	85.3	83.9	86.1
72	84.6	83.6	85.5	84.9	83.5	85.9
71	84.2	83.2	85.2	84.6	83	85.6
70	83.9	82.9	84.9	84.2	82.6	85.4
69	83.6	82.5	84.6	83.9	82.2	85.1
68	83.3	82.2	84.3	83.6	81.8	84.9
67	83	81.9	84	83.2	81.4	84.6
66	82.7	81.6	83.8	82.9	81	84.4
65	82.4	81.3	83.5	82.6	80.5	84.2
64	82.2	81.1	83.3	82.3	80.1	84
63	81.9	80.8	83.1	82	79.8	83.8
62	81.6	80.5	82.9	81.7	79.4	83.6
61	81.4	80.2	82.7	81.4	79.1	83.4
60	81.2	79.9	82.5	81.2	78.7	83.2
59	80.9	79.6	82.3	80.9	78.4	83
58	80.7	79.4	82.2	80.7	78.1	82.8
57	80.5	79.1	82	80.4	77.8	82.7
56	80.3	78.9	81.8	80.2	77.5	82.5
55	80.1	78.7	81.7	80	77.3	82.4
54	80	78.5	81.5	79.8	77.1	82.3
53	79.8	78.3	81.4	79.6	76.8	82.2
52	79.7	78.1	81.3	79.5	76.6	82
51	79.5	78	81.1	79.3	76.5	82
50	79.4	77.8	81	79.2	76.3	81.9
49	79.2	77.7	80.9	79.1	76.1	81.8
48	79.1	77.6	80.8	79	76	81.7
47	79	77.4	80.7	78.9	75.9	81.6
46	78.9	77.3	80.6	78.8	75.8	81.6
45	78.8	77.3	80.5	78.7	75.7	81.5
44	78.8	77.2	80.5	78.6	75.6	81.5
43	78.7	77.1	80.4	78.6	75.5	81.4
42	78.6	77	80.3	78.5	75.5	81.4
41	78.5	77	80.2	78.5	75.4	81.3
40	78.5	76.9	80.2	78.4	75.4	81.3
39	78.4	76.8	80.1	78.4	75.3	81.3
38	78.4	76.8	80.1	78.3	75.3	81.3
37	78.3	76.7	80	78.3	75.2	81.2
36	78.3	76.7	80	78.3	75.2	81.2
35	78.2	76.6	79.9	78.2	75.1	81.2
34	78.2	76.6	79.9	78.2	75.1	81.1
33	78.1	76.5	79.8	78.2	75.1	81.1
32	78.1	76.5	79.8	78.1	75	81.1
31	78	76.4	79.8	78.1	75	81.1
30	78	76.4	79.7	78.1	75	81.1
29	77.9	76.3	79.7	78.1	74.9	81.1
28	77.9	76.3	79.6	78	74.9	81
27	77.8	76.2	79.6	78	74.9	81
26	77.8	76.2	79.6	78	74.8	81
25	77.8	76.1	79.5	78	74.8	81
24	77.7	76.1	79.5	78	74.8	81
23	77.7	76	79.4	77.9	74.8	81
22	77.6	76	79.4	77.9	74.7	81
21	77.6	75.9	79.3	77.9	74.7	81
20	77.5	75.9	79.3	77.9	74.7	81
19	77.5	75.8	79.2	77.9	74.7	80.9
18	77.4	75.8	79.2	77.8	74.6	80.9
17	77.4	75.7	79.1	77.8	74.6	80.9
16	77.3	75.7	79.1	77.8	74.6	80.9
15	77.3	75.6	79	77.8	74.6	80.9
14	77.2	75.6	79	77.8	74.6	80.9
13	77.2	75.6	78.9	77.8	74.6	80.9
12	77.2	75.5	78.9	77.8	74.6	80.9
11	77.1	75.5	78.9	77.8	74.6	80.9
10	77.1	75.5	78.9	77.8	74.6	80.9
9	77.1	75.5	78.8	77.8	74.5	80.9
8	77.1	75.4	78.8	77.8	74.5	80.9
7	77	75.4	78.8	77.8	74.5	80.9
6	77	75.3	78.7	77.8	74.5	80.9
5	76.9	75.3	78.6	77.8	74.5	80.9
4	76.9	75.2	78.6	77.7	74.5	80.9
3	76.8	75.2	78.5	77.7	74.5	80.8
2	76.8	75.2	78.5	77.7	74.5	80.8
1	76.6	75	78.3	77.7	74.5	80.8
0	75.5	73.8	77.2	77.5	74.3	80.6

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 Bangladesh can expect to live to 78 years compared to 78.1 in Hungary, rising to 82.4 and 82.6 at 65, and to 88.1 and 88.1 at 80 — higher than the 75.5 and 77.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Hungary

Male

Female

1x

Age	Survival probability
	Bangladesh			Hungary
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.94%	0.51%	1.3%
99	1.37%	0.63%	2.15%	1.43%	0.79%	1.99%
98	2.06%	1.05%	3.16%	2.12%	1.18%	2.92%
97	2.99%	1.63%	4.44%	3.03%	1.71%	4.17%
96	4.16%	2.43%	6.03%	4.21%	2.42%	5.76%
95	5.6%	3.46%	7.92%	5.67%	3.31%	7.72%
94	7.32%	4.75%	10.1%	7.46%	4.44%	10.1%
93	9.32%	6.3%	12.6%	9.59%	5.84%	12.9%
92	11.6%	8.13%	15.3%	12%	7.51%	16%
91	14.1%	10.2%	18.3%	14.8%	9.39%	19.5%
90	16.8%	12.6%	21.4%	17.7%	11.5%	23.2%
89	19.8%	15.2%	24.7%	20.8%	13.8%	27.2%
88	22.9%	18%	28.1%	24.1%	16.3%	31.2%
87	26.1%	21%	31.6%	27.5%	18.9%	35.4%
86	29.4%	24.1%	35%	31%	21.7%	39.6%
85	32.7%	27.4%	38.5%	34.6%	24.6%	43.7%
84	36.1%	30.7%	41.9%	38.1%	27.6%	47.8%
83	39.4%	34%	45.2%	41.6%	30.7%	51.7%
82	42.7%	37.3%	48.5%	44.9%	33.7%	55.4%
81	45.9%	40.5%	51.7%	48.2%	36.8%	58.9%
80	49%	43.7%	54.7%	51.3%	39.9%	62.1%
79	52%	46.8%	57.6%	54.3%	42.9%	65%
78	54.9%	49.9%	60.3%	57%	45.7%	67.7%
77	57.7%	52.9%	62.9%	59.6%	48.6%	70.1%
76	60.4%	55.7%	65.3%	62.1%	51.3%	72.4%
75	62.9%	58.5%	67.6%	64.4%	53.9%	74.4%
74	65.2%	61.1%	69.8%	66.5%	56.4%	76.3%
73	67.5%	63.5%	71.8%	68.6%	58.9%	78%
72	69.6%	65.8%	73.6%	70.5%	61.2%	79.6%
71	71.5%	68%	75.4%	72.4%	63.5%	81.1%
70	73.4%	69.9%	77%	74.2%	65.8%	82.5%
69	75.1%	71.8%	78.6%	75.9%	67.9%	83.8%
68	76.6%	73.4%	80%	77.5%	70.1%	85%
67	78.1%	75%	81.4%	79.2%	72.1%	86.2%
66	79.5%	76.4%	82.6%	80.7%	74.1%	87.3%
65	80.7%	77.8%	83.8%	82.2%	76.1%	88.3%
64	81.9%	79.2%	84.8%	83.6%	78.1%	89.3%
63	83.1%	80.5%	85.8%	85%	79.9%	90.2%
62	84.2%	81.8%	86.6%	86.3%	81.6%	91%
61	85.2%	83%	87.4%	87.5%	83.2%	91.8%
60	86.2%	84.2%	88.1%	88.6%	84.8%	92.6%
59	87.1%	85.4%	88.8%	89.7%	86.2%	93.3%
58	87.9%	86.4%	89.4%	90.6%	87.5%	93.9%
57	88.7%	87.4%	90%	91.6%	88.8%	94.5%
56	89.4%	88.3%	90.5%	92.4%	89.9%	95%
55	90.1%	89.1%	91%	93.2%	91%	95.5%
54	90.7%	89.8%	91.5%	93.9%	91.9%	96%
53	91.3%	90.5%	92%	94.5%	92.8%	96.4%
52	91.8%	91.1%	92.4%	95.1%	93.5%	96.7%
51	92.3%	91.7%	92.8%	95.6%	94.2%	97%
50	92.7%	92.2%	93.2%	96%	94.8%	97.3%
49	93.1%	92.6%	93.5%	96.4%	95.3%	97.6%
48	93.4%	93%	93.8%	96.8%	95.8%	97.8%
47	93.8%	93.4%	94.1%	97.1%	96.2%	98%
46	94%	93.7%	94.3%	97.3%	96.5%	98.1%
45	94.3%	94%	94.5%	97.5%	96.8%	98.3%
44	94.5%	94.2%	94.7%	97.7%	97.1%	98.4%
43	94.7%	94.4%	94.9%	97.9%	97.3%	98.5%
42	94.9%	94.6%	95.1%	98%	97.5%	98.6%
41	95.1%	94.8%	95.3%	98.2%	97.7%	98.7%
40	95.2%	95%	95.5%	98.3%	97.8%	98.8%
39	95.4%	95.1%	95.6%	98.4%	98%	98.9%
38	95.5%	95.3%	95.7%	98.5%	98.1%	99%
37	95.6%	95.4%	95.8%	98.6%	98.2%	99%
36	95.7%	95.5%	95.9%	98.7%	98.3%	99.1%
35	95.9%	95.6%	96%	98.8%	98.4%	99.1%
34	96%	95.8%	96.1%	98.8%	98.5%	99.2%
33	96.1%	95.9%	96.2%	98.9%	98.6%	99.2%
32	96.2%	96%	96.3%	99%	98.7%	99.3%
31	96.3%	96.1%	96.4%	99%	98.8%	99.3%
30	96.3%	96.2%	96.5%	99.1%	98.8%	99.3%
29	96.4%	96.3%	96.5%	99.1%	98.9%	99.4%
28	96.5%	96.4%	96.6%	99.2%	99%	99.4%
27	96.6%	96.5%	96.7%	99.2%	99%	99.4%
26	96.7%	96.6%	96.8%	99.3%	99.1%	99.4%
25	96.7%	96.7%	96.8%	99.3%	99.1%	99.4%
24	96.8%	96.7%	96.9%	99.3%	99.2%	99.5%
23	96.9%	96.8%	97%	99.4%	99.2%	99.5%
22	97%	96.9%	97%	99.4%	99.3%	99.5%
21	97%	97%	97.1%	99.4%	99.3%	99.5%
20	97.1%	97.1%	97.2%	99.5%	99.4%	99.5%
19	97.2%	97.2%	97.3%	99.5%	99.4%	99.6%
18	97.3%	97.3%	97.4%	99.5%	99.5%	99.6%
17	97.4%	97.4%	97.5%	99.5%	99.5%	99.6%
16	97.5%	97.4%	97.6%	99.6%	99.5%	99.6%
15	97.6%	97.5%	97.6%	99.6%	99.5%	99.6%
14	97.6%	97.6%	97.7%	99.6%	99.6%	99.6%
13	97.7%	97.6%	97.8%	99.6%	99.6%	99.6%
12	97.7%	97.7%	97.8%	99.6%	99.6%	99.6%
11	97.8%	97.7%	97.8%	99.6%	99.6%	99.6%
10	97.8%	97.8%	97.9%	99.6%	99.6%	99.7%
9	97.9%	97.8%	97.9%	99.6%	99.6%	99.7%
8	97.9%	97.8%	98%	99.6%	99.6%	99.7%
7	98%	97.9%	98%	99.7%	99.6%	99.7%
6	98%	97.9%	98.1%	99.7%	99.6%	99.7%
5	98.1%	98%	98.2%	99.7%	99.6%	99.7%
4	98.2%	98.1%	98.3%	99.7%	99.7%	99.7%
3	98.2%	98.1%	98.3%	99.7%	99.7%	99.7%
2	98.3%	98.2%	98.4%	99.7%	99.7%	99.7%
1	98.5%	98.4%	98.6%	99.7%	99.7%	99.7%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 88.6% in Hungary are expected to live past 60, 73.4% and 74.2% past 70, 49% and 51.3% past 80, and only 16.8% and 17.7% past 90.

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

Odds of dying at each age

Chart Table

Bangladesh

Male

Female

Hungary

Male

Female

1x

Age	Probability of dying
	Bangladesh			Hungary
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	36.8%	37.4%	36.6%
99	36.9%	43.4%	35%	34.6%	35.3%	34.4%
98	33.8%	39.5%	31.9%	32.3%	33.2%	32.1%
97	30.9%	36%	29%	30.2%	31.2%	29.9%
96	28.2%	32.7%	26.3%	28%	29.2%	27.6%
95	25.7%	29.8%	23.8%	25.8%	26.9%	25.4%
94	23.5%	27.1%	21.6%	24%	25.4%	23.5%
93	21.4%	24.7%	19.6%	22.2%	24.1%	21.6%
92	19.5%	22.5%	17.9%	20.3%	22.1%	19.7%
91	17.8%	20.5%	16.2%	18.4%	20%	17.8%
90	16.3%	18.7%	14.7%	16.7%	18.3%	16.1%
89	14.8%	17.1%	13.3%	15%	16.7%	14.4%
88	13.5%	15.6%	12.1%	13.6%	15.3%	12.9%
87	12.3%	14.3%	10.9%	12.4%	14%	11.8%
86	11.2%	13%	9.89%	11.3%	12.8%	10.6%
85	10.2%	11.9%	8.97%	10.2%	11.8%	9.49%
84	9.3%	10.8%	8.14%	9.27%	10.9%	8.51%
83	8.45%	9.74%	7.4%	8.38%	9.98%	7.59%
82	7.68%	8.82%	6.72%	7.51%	9.13%	6.67%
81	6.98%	8.01%	6.1%	6.77%	8.41%	5.89%
80	6.36%	7.29%	5.53%	6.09%	7.68%	5.2%
79	5.8%	6.68%	5.02%	5.4%	6.91%	4.53%
78	5.29%	6.12%	4.54%	4.84%	6.33%	3.95%
77	4.82%	5.61%	4.11%	4.38%	5.85%	3.48%
76	4.39%	5.14%	3.73%	3.94%	5.31%	3.09%
75	3.99%	4.69%	3.37%	3.55%	4.81%	2.75%
74	3.64%	4.27%	3.06%	3.24%	4.45%	2.45%
73	3.32%	3.87%	2.78%	2.99%	4.15%	2.21%
72	3.02%	3.49%	2.54%	2.77%	3.88%	2.01%
71	2.74%	3.15%	2.32%	2.58%	3.63%	1.82%
70	2.49%	2.82%	2.13%	2.4%	3.4%	1.67%
69	2.26%	2.53%	1.96%	2.25%	3.19%	1.56%
68	2.05%	2.28%	1.81%	2.14%	3.02%	1.47%
67	1.87%	2.07%	1.66%	2.02%	2.87%	1.37%
66	1.72%	1.9%	1.52%	1.88%	2.71%	1.23%
65	1.58%	1.78%	1.38%	1.81%	2.63%	1.14%
64	1.47%	1.69%	1.24%	1.75%	2.53%	1.09%
63	1.38%	1.63%	1.11%	1.61%	2.29%	1.02%
62	1.29%	1.57%	0.99%	1.47%	2.05%	0.94%
61	1.21%	1.51%	0.89%	1.38%	1.94%	0.87%
60	1.12%	1.43%	0.81%	1.28%	1.8%	0.8%
59	1.04%	1.33%	0.74%	1.18%	1.65%	0.74%
58	0.96%	1.23%	0.69%	1.1%	1.54%	0.68%
57	0.88%	1.12%	0.64%	1.01%	1.42%	0.62%
56	0.8%	1.01%	0.6%	0.92%	1.28%	0.56%
55	0.74%	0.91%	0.57%	0.83%	1.14%	0.51%
54	0.68%	0.83%	0.54%	0.74%	1.02%	0.47%
53	0.62%	0.75%	0.5%	0.66%	0.91%	0.42%
52	0.57%	0.68%	0.47%	0.59%	0.81%	0.36%
51	0.52%	0.61%	0.44%	0.52%	0.72%	0.32%
50	0.47%	0.55%	0.4%	0.47%	0.64%	0.3%
49	0.42%	0.48%	0.36%	0.41%	0.56%	0.26%
48	0.37%	0.43%	0.32%	0.35%	0.48%	0.22%
47	0.33%	0.37%	0.28%	0.31%	0.41%	0.2%
46	0.29%	0.33%	0.25%	0.27%	0.35%	0.18%
45	0.26%	0.29%	0.23%	0.23%	0.3%	0.15%
44	0.23%	0.26%	0.21%	0.19%	0.26%	0.13%
43	0.22%	0.23%	0.2%	0.17%	0.22%	0.12%
42	0.2%	0.21%	0.19%	0.16%	0.2%	0.11%
41	0.19%	0.19%	0.18%	0.14%	0.18%	0.09%
40	0.17%	0.18%	0.17%	0.12%	0.16%	0.08%
39	0.16%	0.16%	0.15%	0.11%	0.14%	0.08%
38	0.14%	0.15%	0.14%	0.1%	0.13%	0.07%
37	0.13%	0.14%	0.12%	0.09%	0.12%	0.06%
36	0.12%	0.13%	0.11%	0.09%	0.12%	0.06%
35	0.11%	0.13%	0.1%	0.08%	0.11%	0.06%
34	0.11%	0.12%	0.09%	0.07%	0.1%	0.05%
33	0.1%	0.12%	0.09%	0.07%	0.09%	0.04%
32	0.1%	0.12%	0.09%	0.07%	0.09%	0.04%
31	0.1%	0.12%	0.09%	0.06%	0.08%	0.04%
30	0.1%	0.11%	0.09%	0.05%	0.07%	0.03%
29	0.09%	0.11%	0.08%	0.05%	0.07%	0.03%
28	0.09%	0.1%	0.08%	0.05%	0.07%	0.03%
27	0.08%	0.09%	0.07%	0.04%	0.06%	0.02%
26	0.08%	0.08%	0.07%	0.04%	0.06%	0.02%
25	0.07%	0.08%	0.07%	0.04%	0.05%	0.02%
24	0.07%	0.08%	0.07%	0.04%	0.05%	0.02%
23	0.08%	0.08%	0.07%	0.03%	0.05%	0.02%
22	0.08%	0.08%	0.07%	0.03%	0.04%	0.02%
21	0.08%	0.09%	0.08%	0.03%	0.04%	0.02%
20	0.09%	0.09%	0.09%	0.03%	0.05%	0.02%
19	0.09%	0.1%	0.09%	0.03%	0.05%	0.02%
18	0.1%	0.1%	0.09%	0.03%	0.04%	0.02%
17	0.09%	0.09%	0.09%	0.02%	0.03%	0.01%
16	0.09%	0.09%	0.09%	0.02%	0.02%	0.01%
15	0.08%	0.08%	0.08%	0.01%	0.02%	0.01%
14	0.07%	0.07%	0.07%	0.01%	0.02%	0.01%
13	0.06%	0.05%	0.06%	0.01%	0.01%	0.008%
12	0.05%	0.04%	0.05%	0.009%	0.01%	0.006%
11	0.04%	0.04%	0.04%	0.007%	0.008%	0.005%
10	0.04%	0.03%	0.04%	0.008%	0.009%	0.008%
9	0.04%	0.04%	0.04%	0.01%	0.01%	0.009%
8	0.05%	0.04%	0.05%	0.008%	0.01%	0.006%
7	0.06%	0.05%	0.06%	0.007%	0.007%	0.007%
6	0.07%	0.07%	0.07%	0.007%	0.006%	0.008%
5	0.08%	0.07%	0.08%	0.008%	0.009%	0.007%
4	0.07%	0.07%	0.08%	0.01%	0.01%	0.008%
3	0.06%	0.06%	0.07%	0.01%	0.01%	0.01%
2	0.07%	0.07%	0.07%	0.02%	0.02%	0.01%
1	0.18%	0.18%	0.17%	0.02%	0.02%	0.03%
0	1.53%	1.61%	1.44%	0.27%	0.29%	0.25%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.27% in Hungary, 0.1% vs 0.05% at age 30, 1.12% vs 1.28% at 60, and 6.36% vs 6.09% at 80.

Death rate by age in Bangladesh vs Hungary

Chart Table

Bangladesh

Male

Female

Hungary

Male

Female

1x

Age	Death rate
	Bangladesh			Hungary
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	217.8	97.2	320
99	504	274.2	753	495	277.8	683
98	698	414	1,006	684	391	938
97	924	588	1,288	915	535	1,245
96	1,175	796	1,587	1,180	706	1,592
95	1,440	1,030	1,887	1,464	892	1,963
94	1,718	1,287	2,186	1,787	1,128	2,368
93	1,995	1,557	2,471	2,133	1,406	2,782
92	2,264	1,828	2,735	2,445	1,662	3,153
91	2,514	2,095	2,969	2,712	1,880	3,470
90	2,738	2,353	3,155	2,952	2,096	3,745
89	2,932	2,596	3,297	3,133	2,304	3,918
88	3,093	2,815	3,394	3,276	2,490	4,033
87	3,217	3,003	3,447	3,416	2,642	4,164
86	3,301	3,148	3,465	3,500	2,779	4,202
85	3,347	3,247	3,451	3,529	2,901	4,148
84	3,355	3,299	3,412	3,532	2,998	4,063
83	3,331	3,310	3,348	3,485	3,058	3,921
82	3,279	3,289	3,261	3,376	3,081	3,693
81	3,205	3,246	3,153	3,263	3,096	3,467
80	3,114	3,189	3,027	3,126	3,064	3,230
79	3,015	3,128	2,889	2,932	2,961	2,946
78	2,903	3,054	2,742	2,759	2,895	2,678
77	2,781	2,966	2,589	2,610	2,840	2,442
76	2,649	2,862	2,434	2,449	2,724	2,235
75	2,510	2,740	2,281	2,284	2,592	2,044
74	2,374	2,605	2,137	2,153	2,511	1,867
73	2,238	2,458	1,998	2,051	2,442	1,723
72	2,099	2,301	1,868	1,957	2,374	1,599
71	1,961	2,138	1,748	1,865	2,307	1,479
70	1,826	1,974	1,638	1,778	2,237	1,375
69	1,697	1,817	1,540	1,711	2,168	1,304
68	1,574	1,674	1,445	1,663	2,118	1,253
67	1,463	1,551	1,351	1,602	2,067	1,180
66	1,364	1,452	1,255	1,520	2,006	1,070
65	1,278	1,382	1,154	1,490	2,000	1,009
64	1,206	1,339	1,052	1,462	1,972	974
63	1,143	1,310	953	1,369	1,830	921
62	1,085	1,285	861	1,264	1,677	857
61	1,028	1,253	781	1,206	1,614	799
60	968	1,203	714	1,134	1,524	742
59	906	1,138	659	1,056	1,420	688
58	841	1,059	615	995	1,348	637
57	778	975	577	925	1,258	584
56	718	892	545	847	1,151	532
55	664	814	516	769	1,041	488
54	615	743	490	697	938	447
53	570	679	464	628	845	402
52	526	618	437	560	760	352
51	482	560	406	500	680	313
50	437	503	371	450	603	288.7
49	391	448	334	394	532	251
48	347	396	296.7	341	464	212.8
47	307	349	263.5	297.3	398	192.6
46	272.6	308	235.8	258.4	339	175.1
45	244	272.8	214.7	219.6	290.2	146.8
44	221.8	243.8	200.3	189.8	249.5	127.5
43	204.5	219.6	190.2	168.8	218.7	116.5
42	190.1	199.2	181.9	153.4	198.8	106
41	177.1	181.7	173	136.8	179	92.1
40	164	166.5	161.7	116.2	153	76.9
39	149.7	153.1	146.8	107	136.8	75
38	135.6	141.5	130.4	101.8	128.2	73.1
37	123.1	132.1	115.1	91.6	120.6	60.1
36	112.9	124.8	102.4	86.7	114	57.2
35	105.6	119.7	93.2	82.6	106.1	57.3
34	101.3	116.7	87.9	72.8	95	48.8
33	99.2	115.2	85.6	65.3	87.5	41.3
32	98.3	114.1	85	64.7	85.9	42
31	97.4	112.5	84.9	56.5	76.5	35
30	95.3	109.1	84	48.8	68.4	27.8
29	90.9	103.1	81.1	50.4	70.4	28.8
28	85.2	95.6	76.8	47.4	67.4	25.9
27	79.3	88.1	72.3	41.7	60.7	21.6
26	74.5	81.9	68.5	39.3	56	21.3
25	71.7	78	66.4	38.3	53.9	21.5
24	71	76.7	66.2	36.4	52.5	19.2
23	73	78.2	68.4	34.2	48.2	19.4
22	76.9	81.7	72.4	32.9	44.1	21.1
21	81.9	86.3	77.8	33	43.7	21.5
20	87.2	90.9	83.5	33.7	46.4	20.3
19	91.1	93.9	88.3	33.6	48.1	18.3
18	92.8	94.5	91	29.2	40.9	17
17	91.4	92	90.8	22.5	29.9	14.7
16	86.6	86.2	87	16.7	22.3	10.9
15	78	77	79	13.8	17.7	9.68
14	66.5	65.4	67.8	12.4	15.1	9.53
13	54.3	53.3	55.5	10.8	13.6	7.82
12	44.1	43.2	45.1	8.56	11.3	5.71
11	37.7	36.8	38.7	6.7	8.01	5.31
10	34.4	33.5	35.3	8.44	9.09	7.74
9	36.2	35	37.5	10.1	11.3	8.86
8	44.9	42.8	47	8.36	10.3	6.34
7	56.8	53.6	60.1	7.08	7.1	7.06
6	67.8	63.8	72.1	7.12	5.85	8.46
5	74.1	69.7	78.7	8.09	9.06	7.07
4	71.7	67.9	75.7	9.76	11.8	7.54
3	61.4	58.9	63.9	12.1	12.3	11.9
2	70.1	68.9	71.4	16.1	20.1	12
1	172.9	175.4	170.2	24.7	23.2	26.3
0	1,530	1,613	1,443	271.5	290.3	251.6

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 Bangladesh, the most common age of death is 84, compared to 84 in Hungary. The median age of death is 79.7 in Bangladesh and 80.4 in Hungary, 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 Bangladesh and Hungary more than their death rates.

Life expectancy in other countries

+ -

1x