Life Expectancy in Bangladesh vs Papua New Guinea (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Papua New Guinea

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Papua New Guinea
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	101.8	101.7	101.9
99	101.2	100.9	101.3	100.9	100.8	101
98	100.3	99.9	100.4	100	99.9	100.1
97	99.4	99.1	99.6	99.1	99	99.2
96	98.6	98.2	98.8	98.2	98.1	98.3
95	97.8	97.4	98	97.3	97.2	97.4
94	97	96.6	97.2	96.5	96.3	96.5
93	96.3	95.9	96.5	95.6	95.5	95.7
92	95.5	95.1	95.8	94.8	94.6	94.9
91	94.8	94.4	95.1	93.9	93.8	94
90	94.1	93.6	94.4	93.1	92.9	93.2
89	93.4	92.9	93.8	92.3	92.1	92.4
88	92.8	92.2	93.1	91.5	91.3	91.7
87	92.1	91.6	92.5	90.7	90.5	90.9
86	91.5	90.9	91.9	89.9	89.7	90.1
85	90.9	90.3	91.3	89.2	88.9	89.4
84	90.3	89.6	90.8	88.4	88.1	88.7
83	89.7	89	90.2	87.7	87.4	88
82	89.2	88.5	89.7	87	86.7	87.3
81	88.6	87.9	89.2	86.3	85.9	86.7
80	88.1	87.4	88.7	85.7	85.3	86.1
79	87.6	86.8	88.3	85	84.6	85.5
78	87.1	86.3	87.8	84.4	83.9	84.9
77	86.7	85.8	87.4	83.8	83.2	84.3
76	86.2	85.4	87	83.2	82.6	83.8
75	85.8	84.9	86.6	82.6	82	83.3
74	85.4	84.5	86.2	82.1	81.4	82.8
73	85	84	85.9	81.5	80.8	82.3
72	84.6	83.6	85.5	81	80.3	81.8
71	84.2	83.2	85.2	80.5	79.7	81.4
70	83.9	82.9	84.9	80	79.2	81
69	83.6	82.5	84.6	79.6	78.7	80.6
68	83.3	82.2	84.3	79.1	78.2	80.2
67	83	81.9	84	78.7	77.7	79.9
66	82.7	81.6	83.8	78.3	77.2	79.6
65	82.4	81.3	83.5	77.9	76.8	79.2
64	82.2	81.1	83.3	77.5	76.3	78.9
63	81.9	80.8	83.1	77.1	75.9	78.6
62	81.6	80.5	82.9	76.8	75.5	78.4
61	81.4	80.2	82.7	76.5	75.1	78.1
60	81.2	79.9	82.5	76.1	74.8	77.8
59	80.9	79.6	82.3	75.8	74.4	77.6
58	80.7	79.4	82.2	75.5	74.1	77.4
57	80.5	79.1	82	75.3	73.8	77.1
56	80.3	78.9	81.8	75	73.4	76.9
55	80.1	78.7	81.7	74.7	73.2	76.7
54	80	78.5	81.5	74.5	72.9	76.5
53	79.8	78.3	81.4	74.3	72.6	76.3
52	79.7	78.1	81.3	74.1	72.3	76.1
51	79.5	78	81.1	73.8	72.1	76
50	79.4	77.8	81	73.6	71.9	75.8
49	79.2	77.7	80.9	73.4	71.6	75.6
48	79.1	77.6	80.8	73.3	71.4	75.5
47	79	77.4	80.7	73.1	71.2	75.3
46	78.9	77.3	80.6	72.9	71	75.2
45	78.8	77.3	80.5	72.7	70.9	75
44	78.8	77.2	80.5	72.6	70.7	74.9
43	78.7	77.1	80.4	72.4	70.5	74.8
42	78.6	77	80.3	72.3	70.4	74.6
41	78.5	77	80.2	72.2	70.2	74.5
40	78.5	76.9	80.2	72	70.1	74.4
39	78.4	76.8	80.1	71.9	69.9	74.3
38	78.4	76.8	80.1	71.8	69.8	74.2
37	78.3	76.7	80	71.7	69.7	74.1
36	78.3	76.7	80	71.6	69.5	74
35	78.2	76.6	79.9	71.5	69.4	73.9
34	78.2	76.6	79.9	71.4	69.3	73.8
33	78.1	76.5	79.8	71.3	69.2	73.7
32	78.1	76.5	79.8	71.2	69.1	73.6
31	78	76.4	79.8	71.1	69	73.6
30	78	76.4	79.7	71	68.9	73.5
29	77.9	76.3	79.7	70.9	68.8	73.4
28	77.9	76.3	79.6	70.8	68.6	73.3
27	77.8	76.2	79.6	70.7	68.5	73.2
26	77.8	76.2	79.6	70.6	68.4	73.2
25	77.8	76.1	79.5	70.5	68.3	73.1
24	77.7	76.1	79.5	70.4	68.2	73
23	77.7	76	79.4	70.3	68.1	72.9
22	77.6	76	79.4	70.2	68	72.9
21	77.6	75.9	79.3	70.1	67.8	72.8
20	77.5	75.9	79.3	70	67.7	72.7
19	77.5	75.8	79.2	69.9	67.6	72.6
18	77.4	75.8	79.2	69.8	67.5	72.6
17	77.4	75.7	79.1	69.7	67.4	72.5
16	77.3	75.7	79.1	69.6	67.3	72.4
15	77.3	75.6	79	69.6	67.3	72.4
14	77.2	75.6	79	69.5	67.2	72.3
13	77.2	75.6	78.9	69.5	67.2	72.3
12	77.2	75.5	78.9	69.5	67.1	72.3
11	77.1	75.5	78.9	69.4	67.1	72.2
10	77.1	75.5	78.9	69.4	67	72.2
9	77.1	75.5	78.8	69.3	67	72.2
8	77.1	75.4	78.8	69.3	67	72.1
7	77	75.4	78.8	69.2	66.9	72.1
6	77	75.3	78.7	69.2	66.8	72
5	76.9	75.3	78.6	69.1	66.8	71.9
4	76.9	75.2	78.6	69	66.7	71.9
3	76.8	75.2	78.5	68.9	66.6	71.7
2	76.8	75.2	78.5	68.8	66.4	71.6
1	76.6	75	78.3	68.6	66.3	71.4
0	75.5	73.8	77.2	66.5	64	69.5

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 71 in Papua New Guinea, rising to 82.4 and 77.9 at 65, and to 88.1 and 85.7 at 80 — higher than the 75.5 and 66.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Papua New Guinea

Male

Female

1x

Age	Survival probability
	Bangladesh			Papua New Guinea
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.09%	0.04%	0.16%
99	1.37%	0.63%	2.15%	0.14%	0.07%	0.26%
98	2.06%	1.05%	3.16%	0.23%	0.12%	0.41%
97	2.99%	1.63%	4.44%	0.36%	0.2%	0.63%
96	4.16%	2.43%	6.03%	0.55%	0.31%	0.94%
95	5.6%	3.46%	7.92%	0.82%	0.46%	1.37%
94	7.32%	4.75%	10.1%	1.18%	0.69%	1.95%
93	9.32%	6.3%	12.6%	1.67%	0.99%	2.7%
92	11.6%	8.13%	15.3%	2.29%	1.39%	3.65%
91	14.1%	10.2%	18.3%	3.09%	1.92%	4.82%
90	16.8%	12.6%	21.4%	4.07%	2.58%	6.24%
89	19.8%	15.2%	24.7%	5.25%	3.41%	7.93%
88	22.9%	18%	28.1%	6.67%	4.43%	9.89%
87	26.1%	21%	31.6%	8.31%	5.63%	12.1%
86	29.4%	24.1%	35%	10.2%	7.04%	14.6%
85	32.7%	27.4%	38.5%	12.3%	8.66%	17.3%
84	36.1%	30.7%	41.9%	14.6%	10.5%	20.3%
83	39.4%	34%	45.2%	17.1%	12.5%	23.4%
82	42.7%	37.3%	48.5%	19.7%	14.7%	26.6%
81	45.9%	40.5%	51.7%	22.5%	17%	29.9%
80	49%	43.7%	54.7%	25.4%	19.5%	33.3%
79	52%	46.8%	57.6%	28.4%	22.1%	36.7%
78	54.9%	49.9%	60.3%	31.4%	24.8%	40%
77	57.7%	52.9%	62.9%	34.5%	27.7%	43.3%
76	60.4%	55.7%	65.3%	37.6%	30.5%	46.6%
75	62.9%	58.5%	67.6%	40.6%	33.4%	49.7%
74	65.2%	61.1%	69.8%	43.6%	36.3%	52.7%
73	67.5%	63.5%	71.8%	46.5%	39.2%	55.5%
72	69.6%	65.8%	73.6%	49.3%	42.1%	58.2%
71	71.5%	68%	75.4%	52%	44.9%	60.7%
70	73.4%	69.9%	77%	54.6%	47.6%	63.1%
69	75.1%	71.8%	78.6%	57.1%	50.3%	65.3%
68	76.6%	73.4%	80%	59.5%	52.9%	67.3%
67	78.1%	75%	81.4%	61.8%	55.4%	69.2%
66	79.5%	76.4%	82.6%	63.9%	57.8%	71%
65	80.7%	77.8%	83.8%	66%	60.1%	72.6%
64	81.9%	79.2%	84.8%	67.9%	62.3%	74.2%
63	83.1%	80.5%	85.8%	69.7%	64.4%	75.6%
62	84.2%	81.8%	86.6%	71.4%	66.4%	76.9%
61	85.2%	83%	87.4%	73%	68.3%	78.2%
60	86.2%	84.2%	88.1%	74.5%	70%	79.3%
59	87.1%	85.4%	88.8%	75.9%	71.7%	80.4%
58	87.9%	86.4%	89.4%	77.2%	73.2%	81.4%
57	88.7%	87.4%	90%	78.4%	74.7%	82.3%
56	89.4%	88.3%	90.5%	79.5%	76%	83.2%
55	90.1%	89.1%	91%	80.6%	77.3%	84%
54	90.7%	89.8%	91.5%	81.5%	78.5%	84.8%
53	91.3%	90.5%	92%	82.5%	79.6%	85.5%
52	91.8%	91.1%	92.4%	83.3%	80.6%	86.1%
51	92.3%	91.7%	92.8%	84.1%	81.6%	86.8%
50	92.7%	92.2%	93.2%	84.8%	82.5%	87.4%
49	93.1%	92.6%	93.5%	85.5%	83.3%	87.9%
48	93.4%	93%	93.8%	86.2%	84.1%	88.4%
47	93.8%	93.4%	94.1%	86.8%	84.8%	88.9%
46	94%	93.7%	94.3%	87.3%	85.4%	89.4%
45	94.3%	94%	94.5%	87.8%	86%	89.8%
44	94.5%	94.2%	94.7%	88.3%	86.6%	90.2%
43	94.7%	94.4%	94.9%	88.8%	87.1%	90.5%
42	94.9%	94.6%	95.1%	89.2%	87.6%	90.9%
41	95.1%	94.8%	95.3%	89.6%	88.1%	91.2%
40	95.2%	95%	95.5%	90%	88.5%	91.5%
39	95.4%	95.1%	95.6%	90.3%	88.9%	91.8%
38	95.5%	95.3%	95.7%	90.6%	89.3%	92.1%
37	95.6%	95.4%	95.8%	90.9%	89.7%	92.3%
36	95.7%	95.5%	95.9%	91.2%	90%	92.6%
35	95.9%	95.6%	96%	91.5%	90.3%	92.8%
34	96%	95.8%	96.1%	91.8%	90.6%	93%
33	96.1%	95.9%	96.2%	92%	90.9%	93.2%
32	96.2%	96%	96.3%	92.2%	91.2%	93.4%
31	96.3%	96.1%	96.4%	92.5%	91.5%	93.6%
30	96.3%	96.2%	96.5%	92.7%	91.7%	93.8%
29	96.4%	96.3%	96.5%	92.9%	92%	93.9%
28	96.5%	96.4%	96.6%	93.1%	92.2%	94.1%
27	96.6%	96.5%	96.7%	93.3%	92.5%	94.3%
26	96.7%	96.6%	96.8%	93.5%	92.7%	94.4%
25	96.7%	96.7%	96.8%	93.7%	93%	94.6%
24	96.8%	96.7%	96.9%	93.9%	93.2%	94.7%
23	96.9%	96.8%	97%	94.1%	93.5%	94.9%
22	97%	96.9%	97%	94.3%	93.7%	95%
21	97%	97%	97.1%	94.5%	94%	95.1%
20	97.1%	97.1%	97.2%	94.7%	94.2%	95.3%
19	97.2%	97.2%	97.3%	94.9%	94.4%	95.4%
18	97.3%	97.3%	97.4%	95.1%	94.6%	95.5%
17	97.4%	97.4%	97.5%	95.2%	94.8%	95.6%
16	97.5%	97.4%	97.6%	95.3%	94.9%	95.7%
15	97.6%	97.5%	97.6%	95.4%	95.1%	95.8%
14	97.6%	97.6%	97.7%	95.5%	95.1%	95.9%
13	97.7%	97.6%	97.8%	95.6%	95.2%	96%
12	97.7%	97.7%	97.8%	95.7%	95.3%	96%
11	97.8%	97.7%	97.8%	95.7%	95.4%	96.1%
10	97.8%	97.8%	97.9%	95.8%	95.4%	96.2%
9	97.9%	97.8%	97.9%	95.8%	95.5%	96.2%
8	97.9%	97.8%	98%	95.9%	95.6%	96.3%
7	98%	97.9%	98%	96%	95.7%	96.3%
6	98%	97.9%	98.1%	96.1%	95.8%	96.4%
5	98.1%	98%	98.2%	96.2%	95.9%	96.5%
4	98.2%	98.1%	98.3%	96.3%	96%	96.7%
3	98.2%	98.1%	98.3%	96.5%	96.2%	96.8%
2	98.3%	98.2%	98.4%	96.7%	96.4%	97%
1	98.5%	98.4%	98.6%	96.9%	96.6%	97.2%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 74.5% in Papua New Guinea are expected to live past 60, 73.4% and 54.6% past 70, 49% and 25.4% past 80, and only 16.8% and 4.07% 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

Papua New Guinea

Male

Female

1x

Age	Probability of dying
	Bangladesh			Papua New Guinea
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	41.5%	42.6%	40.5%
99	36.9%	43.4%	35%	39.7%	40.9%	38.7%
98	33.8%	39.5%	31.9%	37.9%	39.2%	36.9%
97	30.9%	36%	29%	36.2%	37.5%	35.1%
96	28.2%	32.7%	26.3%	34.4%	35.8%	33.2%
95	25.7%	29.8%	23.8%	32.6%	34.1%	31.4%
94	23.5%	27.1%	21.6%	30.7%	32.3%	29.5%
93	21.4%	24.7%	19.6%	29%	30.6%	27.7%
92	19.5%	22.5%	17.9%	27.3%	29%	26%
91	17.8%	20.5%	16.2%	25.7%	27.4%	24.4%
90	16.3%	18.7%	14.7%	24.1%	25.8%	22.8%
89	14.8%	17.1%	13.3%	22.6%	24.3%	21.3%
88	13.5%	15.6%	12.1%	21.2%	22.9%	19.8%
87	12.3%	14.3%	10.9%	19.8%	21.4%	18.4%
86	11.2%	13%	9.89%	18.4%	20%	17%
85	10.2%	11.9%	8.97%	17%	18.6%	15.7%
84	9.3%	10.8%	8.14%	15.8%	17.3%	14.4%
83	8.45%	9.74%	7.4%	14.6%	16.1%	13.2%
82	7.68%	8.82%	6.72%	13.4%	14.9%	12.1%
81	6.98%	8.01%	6.1%	12.4%	13.8%	11.1%
80	6.36%	7.29%	5.53%	11.4%	12.8%	10.1%
79	5.8%	6.68%	5.02%	10.5%	11.9%	9.23%
78	5.29%	6.12%	4.54%	9.71%	11%	8.4%
77	4.82%	5.61%	4.11%	8.9%	10.2%	7.64%
76	4.39%	5.14%	3.73%	8.14%	9.41%	6.93%
75	3.99%	4.69%	3.37%	7.46%	8.68%	6.28%
74	3.64%	4.27%	3.06%	6.84%	8.01%	5.67%
73	3.32%	3.87%	2.78%	6.26%	7.37%	5.12%
72	3.02%	3.49%	2.54%	5.72%	6.79%	4.61%
71	2.74%	3.15%	2.32%	5.23%	6.25%	4.15%
70	2.49%	2.82%	2.13%	4.79%	5.76%	3.74%
69	2.26%	2.53%	1.96%	4.38%	5.3%	3.37%
68	2.05%	2.28%	1.81%	4.01%	4.89%	3.05%
67	1.87%	2.07%	1.66%	3.68%	4.51%	2.76%
66	1.72%	1.9%	1.52%	3.37%	4.16%	2.5%
65	1.58%	1.78%	1.38%	3.09%	3.84%	2.27%
64	1.47%	1.69%	1.24%	2.84%	3.54%	2.07%
63	1.38%	1.63%	1.11%	2.6%	3.25%	1.89%
62	1.29%	1.57%	0.99%	2.38%	2.99%	1.73%
61	1.21%	1.51%	0.89%	2.18%	2.74%	1.58%
60	1.12%	1.43%	0.81%	2%	2.51%	1.45%
59	1.04%	1.33%	0.74%	1.83%	2.3%	1.33%
58	0.96%	1.23%	0.69%	1.67%	2.11%	1.23%
57	0.88%	1.12%	0.64%	1.54%	1.94%	1.13%
56	0.8%	1.01%	0.6%	1.41%	1.78%	1.04%
55	0.74%	0.91%	0.57%	1.3%	1.64%	0.97%
54	0.68%	0.83%	0.54%	1.2%	1.51%	0.9%
53	0.62%	0.75%	0.5%	1.11%	1.39%	0.83%
52	0.57%	0.68%	0.47%	1.02%	1.28%	0.77%
51	0.52%	0.61%	0.44%	0.95%	1.18%	0.72%
50	0.47%	0.55%	0.4%	0.87%	1.08%	0.67%
49	0.42%	0.48%	0.36%	0.81%	0.99%	0.63%
48	0.37%	0.43%	0.32%	0.74%	0.91%	0.58%
47	0.33%	0.37%	0.28%	0.69%	0.84%	0.54%
46	0.29%	0.33%	0.25%	0.63%	0.77%	0.5%
45	0.26%	0.29%	0.23%	0.59%	0.71%	0.47%
44	0.23%	0.26%	0.21%	0.54%	0.66%	0.43%
43	0.22%	0.23%	0.2%	0.5%	0.61%	0.4%
42	0.2%	0.21%	0.19%	0.47%	0.56%	0.38%
41	0.19%	0.19%	0.18%	0.44%	0.52%	0.36%
40	0.17%	0.18%	0.17%	0.41%	0.49%	0.33%
39	0.16%	0.16%	0.15%	0.38%	0.45%	0.31%
38	0.14%	0.15%	0.14%	0.36%	0.42%	0.3%
37	0.13%	0.14%	0.12%	0.34%	0.4%	0.28%
36	0.12%	0.13%	0.11%	0.32%	0.38%	0.26%
35	0.11%	0.13%	0.1%	0.3%	0.35%	0.25%
34	0.11%	0.12%	0.09%	0.28%	0.34%	0.23%
33	0.1%	0.12%	0.09%	0.27%	0.32%	0.22%
32	0.1%	0.12%	0.09%	0.26%	0.3%	0.21%
31	0.1%	0.12%	0.09%	0.25%	0.29%	0.2%
30	0.1%	0.11%	0.09%	0.24%	0.28%	0.19%
29	0.09%	0.11%	0.08%	0.23%	0.28%	0.18%
28	0.09%	0.1%	0.08%	0.23%	0.27%	0.18%
27	0.08%	0.09%	0.07%	0.22%	0.27%	0.17%
26	0.08%	0.08%	0.07%	0.22%	0.27%	0.16%
25	0.07%	0.08%	0.07%	0.21%	0.26%	0.16%
24	0.07%	0.08%	0.07%	0.21%	0.27%	0.15%
23	0.08%	0.08%	0.07%	0.21%	0.27%	0.15%
22	0.08%	0.08%	0.07%	0.21%	0.27%	0.15%
21	0.08%	0.09%	0.08%	0.21%	0.26%	0.14%
20	0.09%	0.09%	0.09%	0.2%	0.25%	0.14%
19	0.09%	0.1%	0.09%	0.19%	0.24%	0.14%
18	0.1%	0.1%	0.09%	0.17%	0.21%	0.13%
17	0.09%	0.09%	0.09%	0.15%	0.18%	0.12%
16	0.09%	0.09%	0.09%	0.13%	0.15%	0.11%
15	0.08%	0.08%	0.08%	0.11%	0.12%	0.09%
14	0.07%	0.07%	0.07%	0.09%	0.1%	0.08%
13	0.06%	0.05%	0.06%	0.08%	0.08%	0.07%
12	0.05%	0.04%	0.05%	0.07%	0.07%	0.06%
11	0.04%	0.04%	0.04%	0.06%	0.07%	0.06%
10	0.04%	0.03%	0.04%	0.06%	0.07%	0.06%
9	0.04%	0.04%	0.04%	0.07%	0.07%	0.06%
8	0.05%	0.04%	0.05%	0.07%	0.08%	0.07%
7	0.06%	0.05%	0.06%	0.08%	0.09%	0.08%
6	0.07%	0.07%	0.07%	0.1%	0.1%	0.09%
5	0.08%	0.07%	0.08%	0.11%	0.12%	0.11%
4	0.07%	0.07%	0.08%	0.14%	0.15%	0.13%
3	0.06%	0.06%	0.07%	0.17%	0.18%	0.16%
2	0.07%	0.07%	0.07%	0.2%	0.21%	0.19%
1	0.18%	0.18%	0.17%	0.25%	0.26%	0.24%
0	1.53%	1.61%	1.44%	3.08%	3.36%	2.77%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 3.08% in Papua New Guinea, 0.1% vs 0.24% at age 30, 1.12% vs 2% at 60, and 6.36% vs 11.4% at 80.

Death rate by age in Bangladesh vs Papua New Guinea

Chart Table

Bangladesh

Male

Female

Papua New Guinea

Male

Female

1x

Age	Death rate
	Bangladesh			Papua New Guinea
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	0	0	0
99	504	274.2	753	57	30.4	99.7
98	698	414	1,006	87.9	48.1	150.7
97	924	588	1,288	131.3	73.6	220.8
96	1,175	796	1,587	190.1	109.5	313
95	1,440	1,030	1,887	266.9	158	431
94	1,718	1,287	2,186	364	221.6	576
93	1,995	1,557	2,471	483	303	748
92	2,264	1,828	2,735	626	403	948
91	2,514	2,095	2,969	792	524	1,174
90	2,738	2,353	3,155	981	667	1,422
89	2,932	2,596	3,297	1,189	831	1,688
88	3,093	2,815	3,394	1,412	1,012	1,961
87	3,217	3,003	3,447	1,643	1,208	2,233
86	3,301	3,148	3,465	1,872	1,410	2,491
85	3,347	3,247	3,451	2,093	1,614	2,726
84	3,355	3,299	3,412	2,298	1,813	2,929
83	3,331	3,310	3,348	2,482	2,003	3,095
82	3,279	3,289	3,261	2,645	2,181	3,224
81	3,205	3,246	3,153	2,784	2,345	3,314
80	3,114	3,189	3,027	2,899	2,493	3,367
79	3,015	3,128	2,889	2,989	2,623	3,382
78	2,903	3,054	2,742	3,051	2,731	3,363
77	2,781	2,966	2,589	3,071	2,815	3,310
76	2,649	2,862	2,434	3,058	2,873	3,227
75	2,510	2,740	2,281	3,029	2,904	3,117
74	2,374	2,605	2,137	2,978	2,910	2,987
73	2,238	2,458	1,998	2,907	2,893	2,840
72	2,099	2,301	1,868	2,821	2,858	2,683
71	1,961	2,138	1,748	2,722	2,806	2,521
70	1,826	1,974	1,638	2,615	2,742	2,359
69	1,697	1,817	1,540	2,503	2,668	2,201
68	1,574	1,674	1,445	2,387	2,587	2,050
67	1,463	1,551	1,351	2,272	2,499	1,907
66	1,364	1,452	1,255	2,157	2,405	1,775
65	1,278	1,382	1,154	2,042	2,307	1,651
64	1,206	1,339	1,052	1,928	2,204	1,537
63	1,143	1,310	953	1,815	2,096	1,430
62	1,085	1,285	861	1,703	1,985	1,330
61	1,028	1,253	781	1,593	1,873	1,237
60	968	1,203	714	1,488	1,761	1,151
59	906	1,138	659	1,387	1,651	1,071
58	841	1,059	615	1,292	1,546	997
57	778	975	577	1,204	1,446	930
56	718	892	545	1,123	1,353	868
55	664	814	516	1,048	1,265	812
54	615	743	490	979	1,183	760
53	570	679	464	914	1,104	712
52	526	618	437	853	1,030	668
51	482	560	406	796	959	626
50	437	503	371	742	892	587
49	391	448	334	690	828	550
48	347	396	296.7	642	768	514
47	307	349	263.5	597	712	480
46	272.6	308	235.8	554	660	448
45	244	272.8	214.7	515	612	419
44	221.8	243.8	200.3	480	568	391
43	204.5	219.6	190.2	447	528	366
42	190.1	199.2	181.9	418	492	344
41	177.1	181.7	173	392	460	324
40	164	166.5	161.7	368	430	306
39	149.7	153.1	146.8	347	404	289.1
38	135.6	141.5	130.4	327	379	273.1
37	123.1	132.1	115.1	309	358	257.6
36	112.9	124.8	102.4	291.4	338	242.8
35	105.6	119.7	93.2	275.7	320	228.9
34	101.3	116.7	87.9	261.5	304	216.2
33	99.2	115.2	85.6	249	289.8	204.9
32	98.3	114.1	85	238.2	277.8	195.1
31	97.4	112.5	84.9	229.1	267.8	186.7
30	95.3	109.1	84	221.5	259.8	179.4
29	90.9	103.1	81.1	215.2	253.7	172.7
28	85.2	95.6	76.8	209.9	249.4	166.2
27	79.3	88.1	72.3	205.6	246.8	159.7
26	74.5	81.9	68.5	202.1	245.8	153.5
25	71.7	78	66.4	199.6	246.2	147.7
24	71	76.7	66.2	198.2	247.5	143
23	73	78.2	68.4	197.5	249	139.8
22	76.9	81.7	72.4	196.9	249.5	137.9
21	81.9	86.3	77.8	195.2	247.2	136.8
20	87.2	90.9	83.5	190.3	239.4	135.2
19	91.1	93.9	88.3	180.6	224.3	131.8
18	92.8	94.5	91	165.4	201.6	125.1
17	91.4	92	90.8	145.5	173.1	114.8
16	86.6	86.2	87	123.8	143.4	102.1
15	78	77	79	103.3	116.4	88.8
14	66.5	65.4	67.8	86.3	94.9	76.8
13	54.3	53.3	55.5	73.8	79.6	67.5
12	44.1	43.2	45.1	65.8	70	61.1
11	37.7	36.8	38.7	61.7	65.4	57.8
10	34.4	33.5	35.3	61.3	64.9	57.3
9	36.2	35	37.5	64.1	68.3	59.6
8	44.9	42.8	47	70.2	75.1	64.8
7	56.8	53.6	60.1	79.6	85.6	73.1
6	67.8	63.8	72.1	92.7	99.9	85
5	74.1	69.7	78.7	110.1	118.2	101.4
4	71.7	67.9	75.7	132.5	141.3	123
3	61.4	58.9	63.9	160.8	169.8	151.2
2	70.1	68.9	71.4	196.3	204.7	187.3
1	172.9	175.4	170.2	240.4	247.3	233
0	1,530	1,613	1,443	3,076	3,364	2,770

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 0 in Papua New Guinea. The median age of death is 79.7 in Bangladesh and 71.7 in Papua New Guinea, 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 Papua New Guinea more than their death rates.

Life expectancy in other countries

+ -

1x