Life Expectancy in Bangladesh vs Tonga (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Tonga

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Tonga
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.1	101.8	102.1
99	101.2	100.9	101.3	101.2	101	101.2
98	100.3	99.9	100.4	100.3	100.1	100.3
97	99.4	99.1	99.6	99.4	99.2	99.4
96	98.6	98.2	98.8	98.5	98.3	98.6
95	97.8	97.4	98	97.7	97.5	97.7
94	97	96.6	97.2	96.9	96.6	96.9
93	96.3	95.9	96.5	96	95.8	96.1
92	95.5	95.1	95.8	95.2	95	95.3
91	94.8	94.4	95.1	94.5	94.1	94.6
90	94.1	93.6	94.4	93.7	93.3	93.8
89	93.4	92.9	93.8	92.9	92.6	93.1
88	92.8	92.2	93.1	92.2	91.8	92.4
87	92.1	91.6	92.5	91.5	91	91.7
86	91.5	90.9	91.9	90.8	90.3	91.1
85	90.9	90.3	91.3	90.1	89.6	90.4
84	90.3	89.6	90.8	89.5	88.9	89.8
83	89.7	89	90.2	88.9	88.2	89.3
82	89.2	88.5	89.7	88.2	87.5	88.7
81	88.6	87.9	89.2	87.6	86.9	88.2
80	88.1	87.4	88.7	87.1	86.2	87.6
79	87.6	86.8	88.3	86.5	85.6	87.2
78	87.1	86.3	87.8	86	85	86.7
77	86.7	85.8	87.4	85.5	84.4	86.3
76	86.2	85.4	87	85	83.9	85.8
75	85.8	84.9	86.6	84.5	83.3	85.4
74	85.4	84.5	86.2	84.1	82.8	85.1
73	85	84	85.9	83.6	82.3	84.7
72	84.6	83.6	85.5	83.2	81.8	84.4
71	84.2	83.2	85.2	82.8	81.3	84
70	83.9	82.9	84.9	82.4	80.8	83.7
69	83.6	82.5	84.6	82	80.3	83.4
68	83.3	82.2	84.3	81.7	79.9	83.1
67	83	81.9	84	81.3	79.5	82.9
66	82.7	81.6	83.8	81	79.1	82.6
65	82.4	81.3	83.5	80.6	78.7	82.4
64	82.2	81.1	83.3	80.3	78.3	82.1
63	81.9	80.8	83.1	80	77.9	81.9
62	81.6	80.5	82.9	79.7	77.6	81.7
61	81.4	80.2	82.7	79.4	77.2	81.5
60	81.2	79.9	82.5	79.2	76.9	81.3
59	80.9	79.6	82.3	78.9	76.6	81.1
58	80.7	79.4	82.2	78.7	76.3	80.9
57	80.5	79.1	82	78.4	76	80.8
56	80.3	78.9	81.8	78.2	75.7	80.6
55	80.1	78.7	81.7	78	75.5	80.4
54	80	78.5	81.5	77.8	75.2	80.3
53	79.8	78.3	81.4	77.6	75	80.1
52	79.7	78.1	81.3	77.4	74.8	80
51	79.5	78	81.1	77.2	74.6	79.9
50	79.4	77.8	81	77.1	74.4	79.7
49	79.2	77.7	80.9	76.9	74.2	79.6
48	79.1	77.6	80.8	76.8	74	79.5
47	79	77.4	80.7	76.6	73.8	79.4
46	78.9	77.3	80.6	76.5	73.6	79.3
45	78.8	77.3	80.5	76.4	73.5	79.2
44	78.8	77.2	80.5	76.3	73.3	79.1
43	78.7	77.1	80.4	76.2	73.2	79
42	78.6	77	80.3	76.1	73.1	79
41	78.5	77	80.2	76	72.9	78.9
40	78.5	76.9	80.2	75.9	72.8	78.8
39	78.4	76.8	80.1	75.8	72.7	78.7
38	78.4	76.8	80.1	75.7	72.6	78.7
37	78.3	76.7	80	75.6	72.5	78.6
36	78.3	76.7	80	75.5	72.4	78.6
35	78.2	76.6	79.9	75.5	72.3	78.5
34	78.2	76.6	79.9	75.4	72.2	78.4
33	78.1	76.5	79.8	75.3	72.1	78.4
32	78.1	76.5	79.8	75.3	72	78.3
31	78	76.4	79.8	75.2	71.9	78.3
30	78	76.4	79.7	75.1	71.9	78.3
29	77.9	76.3	79.7	75.1	71.8	78.2
28	77.9	76.3	79.6	75	71.7	78.2
27	77.8	76.2	79.6	75	71.6	78.1
26	77.8	76.2	79.6	74.9	71.5	78.1
25	77.8	76.1	79.5	74.8	71.4	78
24	77.7	76.1	79.5	74.8	71.4	78
23	77.7	76	79.4	74.7	71.3	78
22	77.6	76	79.4	74.7	71.2	77.9
21	77.6	75.9	79.3	74.6	71.1	77.9
20	77.5	75.9	79.3	74.5	71	77.8
19	77.5	75.8	79.2	74.5	70.9	77.8
18	77.4	75.8	79.2	74.4	70.9	77.8
17	77.4	75.7	79.1	74.4	70.8	77.7
16	77.3	75.7	79.1	74.3	70.8	77.7
15	77.3	75.6	79	74.3	70.7	77.7
14	77.2	75.6	79	74.3	70.7	77.6
13	77.2	75.6	78.9	74.2	70.7	77.6
12	77.2	75.5	78.9	74.2	70.7	77.6
11	77.1	75.5	78.9	74.2	70.7	77.6
10	77.1	75.5	78.9	74.2	70.6	77.6
9	77.1	75.5	78.8	74.2	70.6	77.6
8	77.1	75.4	78.8	74.2	70.6	77.5
7	77	75.4	78.8	74.1	70.6	77.5
6	77	75.3	78.7	74.1	70.6	77.5
5	76.9	75.3	78.6	74.1	70.5	77.5
4	76.9	75.2	78.6	74.1	70.5	77.5
3	76.8	75.2	78.5	74.1	70.5	77.4
2	76.8	75.2	78.5	74	70.5	77.4
1	76.6	75	78.3	74	70.4	77.4
0	75.5	73.8	77.2	73.4	69.8	76.8

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 Bangladesh can expect to live to 78 years compared to 75.1 in Tonga, rising to 82.4 and 80.6 at 65, and to 88.1 and 87.1 at 80 — higher than the 75.5 and 73.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Tonga

Male

Female

1x

Age	Survival probability
	Bangladesh			Tonga
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.44%	0.17%	0.71%
99	1.37%	0.63%	2.15%	0.68%	0.28%	1.09%
98	2.06%	1.05%	3.16%	1.02%	0.43%	1.64%
97	2.99%	1.63%	4.44%	1.49%	0.66%	2.39%
96	4.16%	2.43%	6.03%	2.12%	0.97%	3.37%
95	5.6%	3.46%	7.92%	2.93%	1.39%	4.63%
94	7.32%	4.75%	10.1%	3.98%	1.96%	6.2%
93	9.32%	6.3%	12.6%	5.27%	2.68%	8.09%
92	11.6%	8.13%	15.3%	6.8%	3.58%	10.3%
91	14.1%	10.2%	18.3%	8.6%	4.69%	12.9%
90	16.8%	12.6%	21.4%	10.7%	6%	15.7%
89	19.8%	15.2%	24.7%	13%	7.54%	18.9%
88	22.9%	18%	28.1%	15.6%	9.3%	22.3%
87	26.1%	21%	31.6%	18.3%	11.3%	25.8%
86	29.4%	24.1%	35%	21.3%	13.4%	29.5%
85	32.7%	27.4%	38.5%	24.4%	15.8%	33.3%
84	36.1%	30.7%	41.9%	27.5%	18.4%	37.1%
83	39.4%	34%	45.2%	30.8%	21.1%	40.9%
82	42.7%	37.3%	48.5%	34.1%	23.9%	44.6%
81	45.9%	40.5%	51.7%	37.3%	26.8%	48.2%
80	49%	43.7%	54.7%	40.6%	29.8%	51.6%
79	52%	46.8%	57.6%	43.8%	32.8%	54.9%
78	54.9%	49.9%	60.3%	46.9%	35.8%	58%
77	57.7%	52.9%	62.9%	49.9%	38.8%	60.9%
76	60.4%	55.7%	65.3%	52.8%	41.8%	63.6%
75	62.9%	58.5%	67.6%	55.6%	44.7%	66.2%
74	65.2%	61.1%	69.8%	58.2%	47.6%	68.6%
73	67.5%	63.5%	71.8%	60.7%	50.4%	70.8%
72	69.6%	65.8%	73.6%	63.1%	53.2%	72.8%
71	71.5%	68%	75.4%	65.4%	55.8%	74.7%
70	73.4%	69.9%	77%	67.6%	58.4%	76.5%
69	75.1%	71.8%	78.6%	69.6%	60.8%	78.1%
68	76.6%	73.4%	80%	71.6%	63.2%	79.6%
67	78.1%	75%	81.4%	73.4%	65.4%	81%
66	79.5%	76.4%	82.6%	75.1%	67.5%	82.3%
65	80.7%	77.8%	83.8%	76.7%	69.6%	83.5%
64	81.9%	79.2%	84.8%	78.3%	71.5%	84.6%
63	83.1%	80.5%	85.8%	79.7%	73.4%	85.6%
62	84.2%	81.8%	86.6%	81.1%	75.1%	86.5%
61	85.2%	83%	87.4%	82.4%	76.7%	87.4%
60	86.2%	84.2%	88.1%	83.6%	78.2%	88.2%
59	87.1%	85.4%	88.8%	84.7%	79.6%	89%
58	87.9%	86.4%	89.4%	85.7%	81%	89.7%
57	88.7%	87.4%	90%	86.7%	82.2%	90.4%
56	89.4%	88.3%	90.5%	87.6%	83.4%	91%
55	90.1%	89.1%	91%	88.4%	84.4%	91.6%
54	90.7%	89.8%	91.5%	89.2%	85.5%	92.1%
53	91.3%	90.5%	92%	89.9%	86.4%	92.6%
52	91.8%	91.1%	92.4%	90.5%	87.3%	93.1%
51	92.3%	91.7%	92.8%	91.1%	88.1%	93.5%
50	92.7%	92.2%	93.2%	91.7%	88.8%	93.9%
49	93.1%	92.6%	93.5%	92.2%	89.5%	94.3%
48	93.4%	93%	93.8%	92.7%	90.2%	94.6%
47	93.8%	93.4%	94.1%	93.1%	90.8%	95%
46	94%	93.7%	94.3%	93.6%	91.3%	95.2%
45	94.3%	94%	94.5%	93.9%	91.8%	95.5%
44	94.5%	94.2%	94.7%	94.3%	92.3%	95.8%
43	94.7%	94.4%	94.9%	94.6%	92.7%	96%
42	94.9%	94.6%	95.1%	94.9%	93.1%	96.2%
41	95.1%	94.8%	95.3%	95.1%	93.5%	96.4%
40	95.2%	95%	95.5%	95.4%	93.8%	96.6%
39	95.4%	95.1%	95.6%	95.6%	94.1%	96.7%
38	95.5%	95.3%	95.7%	95.8%	94.4%	96.9%
37	95.6%	95.4%	95.8%	96%	94.7%	97%
36	95.7%	95.5%	95.9%	96.2%	95%	97.2%
35	95.9%	95.6%	96%	96.4%	95.2%	97.3%
34	96%	95.8%	96.1%	96.5%	95.5%	97.4%
33	96.1%	95.9%	96.2%	96.7%	95.7%	97.5%
32	96.2%	96%	96.3%	96.8%	95.9%	97.6%
31	96.3%	96.1%	96.4%	97%	96.1%	97.7%
30	96.3%	96.2%	96.5%	97.1%	96.3%	97.8%
29	96.4%	96.3%	96.5%	97.2%	96.5%	97.9%
28	96.5%	96.4%	96.6%	97.4%	96.7%	98%
27	96.6%	96.5%	96.7%	97.5%	96.9%	98.1%
26	96.7%	96.6%	96.8%	97.6%	97.1%	98.2%
25	96.7%	96.7%	96.8%	97.7%	97.2%	98.2%
24	96.8%	96.7%	96.9%	97.9%	97.4%	98.3%
23	96.9%	96.8%	97%	98%	97.6%	98.4%
22	97%	96.9%	97%	98.1%	97.8%	98.5%
21	97%	97%	97.1%	98.2%	97.9%	98.5%
20	97.1%	97.1%	97.2%	98.3%	98.1%	98.6%
19	97.2%	97.2%	97.3%	98.4%	98.2%	98.7%
18	97.3%	97.3%	97.4%	98.5%	98.4%	98.7%
17	97.4%	97.4%	97.5%	98.6%	98.5%	98.8%
16	97.5%	97.4%	97.6%	98.7%	98.5%	98.9%
15	97.6%	97.5%	97.6%	98.7%	98.6%	98.9%
14	97.6%	97.6%	97.7%	98.8%	98.7%	98.9%
13	97.7%	97.6%	97.8%	98.8%	98.7%	99%
12	97.7%	97.7%	97.8%	98.8%	98.7%	99%
11	97.8%	97.7%	97.8%	98.9%	98.7%	99%
10	97.8%	97.8%	97.9%	98.9%	98.8%	99%
9	97.9%	97.8%	97.9%	98.9%	98.8%	99.1%
8	97.9%	97.8%	98%	98.9%	98.8%	99.1%
7	98%	97.9%	98%	99%	98.8%	99.1%
6	98%	97.9%	98.1%	99%	98.9%	99.1%
5	98.1%	98%	98.2%	99%	98.9%	99.2%
4	98.2%	98.1%	98.3%	99.1%	99%	99.2%
3	98.2%	98.1%	98.3%	99.1%	99%	99.2%
2	98.3%	98.2%	98.4%	99.1%	99%	99.3%
1	98.5%	98.4%	98.6%	99.2%	99.1%	99.3%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 83.6% in Tonga are expected to live past 60, 73.4% and 67.6% past 70, 49% and 40.6% past 80, and only 16.8% and 10.7% 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

Tonga

Male

Female

1x

Age	Probability of dying
	Bangladesh			Tonga
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	37.6%	39.4%	37.4%
99	36.9%	43.4%	35%	35.7%	37.6%	35.4%
98	33.8%	39.5%	31.9%	33.6%	35.8%	33.3%
97	30.9%	36%	29%	31.5%	34%	31.2%
96	28.2%	32.7%	26.3%	29.5%	32.2%	29.2%
95	25.7%	29.8%	23.8%	27.8%	30.4%	27.2%
94	23.5%	27.1%	21.6%	26.3%	28.7%	25.3%
93	21.4%	24.7%	19.6%	24.5%	27%	23.4%
92	19.5%	22.5%	17.9%	22.6%	25.3%	21.6%
91	17.8%	20.5%	16.2%	20.9%	23.6%	19.9%
90	16.3%	18.7%	14.7%	19.5%	21.9%	18.2%
89	14.8%	17.1%	13.3%	17.9%	20.4%	16.7%
88	13.5%	15.6%	12.1%	16.4%	18.9%	15.2%
87	12.3%	14.3%	10.9%	15.1%	17.5%	13.8%
86	11.2%	13%	9.89%	13.9%	16.2%	12.5%
85	10.2%	11.9%	8.97%	12.7%	15%	11.3%
84	9.3%	10.8%	8.14%	11.5%	13.9%	10.2%
83	8.45%	9.74%	7.4%	10.6%	12.8%	9.22%
82	7.68%	8.82%	6.72%	9.66%	11.8%	8.29%
81	6.98%	8.01%	6.1%	8.75%	10.9%	7.44%
80	6.36%	7.29%	5.53%	8.01%	10%	6.67%
79	5.8%	6.68%	5.02%	7.31%	9.2%	5.98%
78	5.29%	6.12%	4.54%	6.65%	8.45%	5.35%
77	4.82%	5.61%	4.11%	6.05%	7.76%	4.79%
76	4.39%	5.14%	3.73%	5.48%	7.14%	4.29%
75	3.99%	4.69%	3.37%	4.99%	6.57%	3.85%
74	3.64%	4.27%	3.06%	4.5%	6.05%	3.46%
73	3.32%	3.87%	2.78%	4.12%	5.57%	3.11%
72	3.02%	3.49%	2.54%	3.82%	5.14%	2.81%
71	2.74%	3.15%	2.32%	3.48%	4.74%	2.54%
70	2.49%	2.82%	2.13%	3.2%	4.37%	2.3%
69	2.26%	2.53%	1.96%	2.96%	4.03%	2.08%
68	2.05%	2.28%	1.81%	2.71%	3.72%	1.89%
67	1.87%	2.07%	1.66%	2.49%	3.43%	1.72%
66	1.72%	1.9%	1.52%	2.28%	3.17%	1.56%
65	1.58%	1.78%	1.38%	2.1%	2.93%	1.43%
64	1.47%	1.69%	1.24%	1.96%	2.71%	1.3%
63	1.38%	1.63%	1.11%	1.82%	2.5%	1.19%
62	1.29%	1.57%	0.99%	1.71%	2.3%	1.1%
61	1.21%	1.51%	0.89%	1.58%	2.11%	1.01%
60	1.12%	1.43%	0.81%	1.43%	1.94%	0.94%
59	1.04%	1.33%	0.74%	1.3%	1.78%	0.87%
58	0.96%	1.23%	0.69%	1.19%	1.64%	0.8%
57	0.88%	1.12%	0.64%	1.11%	1.51%	0.74%
56	0.8%	1.01%	0.6%	1.02%	1.39%	0.68%
55	0.74%	0.91%	0.57%	0.94%	1.28%	0.63%
54	0.68%	0.83%	0.54%	0.86%	1.18%	0.58%
53	0.62%	0.75%	0.5%	0.77%	1.09%	0.54%
52	0.57%	0.68%	0.47%	0.72%	1%	0.5%
51	0.52%	0.61%	0.44%	0.68%	0.92%	0.46%
50	0.47%	0.55%	0.4%	0.61%	0.85%	0.42%
49	0.42%	0.48%	0.36%	0.56%	0.78%	0.39%
48	0.37%	0.43%	0.32%	0.52%	0.71%	0.36%
47	0.33%	0.37%	0.28%	0.48%	0.65%	0.33%
46	0.29%	0.33%	0.25%	0.44%	0.6%	0.31%
45	0.26%	0.29%	0.23%	0.39%	0.55%	0.28%
44	0.23%	0.26%	0.21%	0.36%	0.51%	0.26%
43	0.22%	0.23%	0.2%	0.33%	0.47%	0.24%
42	0.2%	0.21%	0.19%	0.3%	0.43%	0.22%
41	0.19%	0.19%	0.18%	0.28%	0.4%	0.2%
40	0.17%	0.18%	0.17%	0.26%	0.37%	0.19%
39	0.16%	0.16%	0.15%	0.24%	0.34%	0.17%
38	0.14%	0.15%	0.14%	0.22%	0.32%	0.16%
37	0.13%	0.14%	0.12%	0.21%	0.3%	0.15%
36	0.12%	0.13%	0.11%	0.19%	0.28%	0.14%
35	0.11%	0.13%	0.1%	0.18%	0.26%	0.13%
34	0.11%	0.12%	0.09%	0.17%	0.25%	0.12%
33	0.1%	0.12%	0.09%	0.16%	0.23%	0.11%
32	0.1%	0.12%	0.09%	0.15%	0.22%	0.11%
31	0.1%	0.12%	0.09%	0.14%	0.21%	0.1%
30	0.1%	0.11%	0.09%	0.14%	0.21%	0.1%
29	0.09%	0.11%	0.08%	0.13%	0.2%	0.09%
28	0.09%	0.1%	0.08%	0.13%	0.19%	0.09%
27	0.08%	0.09%	0.07%	0.13%	0.19%	0.08%
26	0.08%	0.08%	0.07%	0.13%	0.18%	0.08%
25	0.07%	0.08%	0.07%	0.13%	0.18%	0.08%
24	0.07%	0.08%	0.07%	0.12%	0.18%	0.07%
23	0.08%	0.08%	0.07%	0.12%	0.18%	0.07%
22	0.08%	0.08%	0.07%	0.12%	0.18%	0.07%
21	0.08%	0.09%	0.08%	0.12%	0.17%	0.07%
20	0.09%	0.09%	0.09%	0.12%	0.17%	0.07%
19	0.09%	0.1%	0.09%	0.11%	0.15%	0.07%
18	0.1%	0.1%	0.09%	0.1%	0.13%	0.07%
17	0.09%	0.09%	0.09%	0.08%	0.11%	0.06%
16	0.09%	0.09%	0.09%	0.07%	0.08%	0.05%
15	0.08%	0.08%	0.08%	0.05%	0.06%	0.04%
14	0.07%	0.07%	0.07%	0.04%	0.05%	0.04%
13	0.06%	0.05%	0.06%	0.03%	0.04%	0.03%
12	0.05%	0.04%	0.05%	0.03%	0.03%	0.03%
11	0.04%	0.04%	0.04%	0.02%	0.03%	0.02%
10	0.04%	0.03%	0.04%	0.02%	0.02%	0.02%
9	0.04%	0.04%	0.04%	0.02%	0.03%	0.02%
8	0.05%	0.04%	0.05%	0.03%	0.03%	0.02%
7	0.06%	0.05%	0.06%	0.03%	0.03%	0.02%
6	0.07%	0.07%	0.07%	0.03%	0.03%	0.03%
5	0.08%	0.07%	0.08%	0.03%	0.04%	0.03%
4	0.07%	0.07%	0.08%	0.04%	0.04%	0.03%
3	0.06%	0.06%	0.07%	0.04%	0.04%	0.03%
2	0.07%	0.07%	0.07%	0.04%	0.05%	0.04%
1	0.18%	0.18%	0.17%	0.04%	0.05%	0.04%
0	1.53%	1.61%	1.44%	0.81%	0.91%	0.7%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.81% in Tonga, 0.1% vs 0.14% at age 30, 1.12% vs 1.43% at 60, and 6.36% vs 8.01% at 80.

Death rate by age in Bangladesh vs Tonga

Chart Table

Bangladesh

Male

Female

Tonga

Male

Female

1x

Age	Death rate
	Bangladesh			Tonga
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	72.3	5.55	129.4
99	504	274.2	753	242.4	105	387
98	698	414	1,006	345	155.5	546
97	924	588	1,288	470	223.6	745
96	1,175	796	1,587	624	312	984
95	1,440	1,030	1,887	814	424	1,260
94	1,718	1,287	2,186	1,045	561	1,566
93	1,995	1,557	2,471	1,291	722	1,893
92	2,264	1,828	2,735	1,534	904	2,227
91	2,514	2,095	2,969	1,794	1,105	2,556
90	2,738	2,353	3,155	2,077	1,317	2,865
89	2,932	2,596	3,297	2,333	1,536	3,144
88	3,093	2,815	3,394	2,547	1,756	3,381
87	3,217	3,003	3,447	2,770	1,970	3,567
86	3,301	3,148	3,465	2,959	2,176	3,700
85	3,347	3,247	3,451	3,085	2,369	3,776
84	3,355	3,299	3,412	3,170	2,544	3,798
83	3,331	3,310	3,348	3,249	2,697	3,769
82	3,279	3,289	3,261	3,293	2,821	3,696
81	3,205	3,246	3,153	3,269	2,916	3,585
80	3,114	3,189	3,027	3,251	2,980	3,444
79	3,015	3,128	2,889	3,201	3,016	3,281
78	2,903	3,054	2,742	3,121	3,026	3,105
77	2,781	2,966	2,589	3,020	3,014	2,920
76	2,649	2,862	2,434	2,894	2,984	2,733
75	2,510	2,740	2,281	2,777	2,939	2,549
74	2,374	2,605	2,137	2,622	2,881	2,371
73	2,238	2,458	1,998	2,502	2,811	2,202
72	2,099	2,301	1,868	2,412	2,731	2,043
71	1,961	2,138	1,748	2,276	2,643	1,895
70	1,826	1,974	1,638	2,163	2,548	1,756
69	1,697	1,817	1,540	2,061	2,449	1,626
68	1,574	1,674	1,445	1,944	2,348	1,505
67	1,463	1,551	1,351	1,827	2,246	1,392
66	1,364	1,452	1,255	1,712	2,143	1,287
65	1,278	1,382	1,154	1,614	2,040	1,190
64	1,206	1,339	1,052	1,531	1,936	1,102
63	1,143	1,310	953	1,447	1,831	1,022
62	1,085	1,285	861	1,385	1,726	950
61	1,028	1,253	781	1,299	1,622	886
60	968	1,203	714	1,192	1,519	827
59	906	1,138	659	1,104	1,421	772
58	841	1,059	615	1,023	1,327	720
57	778	975	577	960	1,239	670
56	718	892	545	898	1,157	623
55	664	814	516	831	1,081	578
54	615	743	490	764	1,008	535
53	570	679	464	696	940	497
52	526	618	437	654	874	461
51	482	560	406	615	812	429
50	437	503	371	562	752	399
49	391	448	334	515	695	371
48	347	396	296.7	480	642	344
47	307	349	263.5	444	593	318
46	272.6	308	235.8	407	547	292.4
45	244	272.8	214.7	371	505	268.7
44	221.8	243.8	200.3	339	467	246.8
43	204.5	219.6	190.2	312	432	227
42	190.1	199.2	181.9	286.3	400	209.4
41	177.1	181.7	173	263	371	194
40	164	166.5	161.7	244.4	345	180.3
39	149.7	153.1	146.8	229.1	321	167.9
38	135.6	141.5	130.4	214	299.6	156.4
37	123.1	132.1	115.1	198.5	280.4	145.6
36	112.9	124.8	102.4	185.7	263.2	135.5
35	105.6	119.7	93.2	173.9	248.1	126.1
34	101.3	116.7	87.9	164.3	234.9	117.7
33	99.2	115.2	85.6	155.9	223.5	110.4
32	98.3	114.1	85	146.5	214	104.2
31	97.4	112.5	84.9	139	205.9	99
30	95.3	109.1	84	133.8	199.1	94.4
29	90.9	103.1	81.1	129.6	193.2	90.2
28	85.2	95.6	76.8	126.2	187.9	86.3
27	79.3	88.1	72.3	125.1	183.2	82.4
26	74.5	81.9	68.5	124.3	179.1	78.7
25	71.7	78	66.4	122.7	175.8	75.5
24	71	76.7	66.2	121.1	173.5	73.2
23	73	78.2	68.4	120.2	172.2	72.1
22	76.9	81.7	72.4	119.8	171.1	72
21	81.9	86.3	77.8	119.3	168.7	72.7
20	87.2	90.9	83.5	117.2	162.1	73
19	91.1	93.9	88.3	110.3	149.1	71.7
18	92.8	94.5	91	98.6	129.3	67.7
17	91.4	92	90.8	83.5	104.9	60.8
16	86.6	86.2	87	67.2	80.6	52
15	78	77	79	52	60.1	43.1
14	66.5	65.4	67.8	40.1	44.9	35.3
13	54.3	53.3	55.5	32.1	34.8	29.4
12	44.1	43.2	45.1	27.1	28.8	25.4
11	37.7	36.8	38.7	24.5	25.7	23.1
10	34.4	33.5	35.3	23.5	24.7	22.2
9	36.2	35	37.5	23.8	25.2	22.3
8	44.9	42.8	47	25.2	26.9	23.3
7	56.8	53.6	60.1	27.2	29.4	24.7
6	67.8	63.8	72.1	29.6	32.4	26.6
5	74.1	69.7	78.7	32.3	35.6	28.8
4	71.7	67.9	75.7	35.1	38.8	31.1
3	61.4	58.9	63.9	38	42.1	33.5
2	70.1	68.9	71.4	41	45.5	36.2
1	172.9	175.4	170.2	44.3	49.1	39.1
0	1,530	1,613	1,443	807	907	698

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 82 in Tonga. The median age of death is 79.7 in Bangladesh and 77 in Tonga, 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 Tonga more than their death rates.

Life expectancy in other countries

+ -

1x