Life Expectancy in Bangladesh vs New Zealand (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

New Zealand

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			New Zealand
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102	101.9	102
99	101.2	100.9	101.3	101.2	101	101.2
98	100.3	99.9	100.4	100.3	100.2	100.4
97	99.4	99.1	99.6	99.5	99.3	99.6
96	98.6	98.2	98.8	98.7	98.5	98.8
95	97.8	97.4	98	97.9	97.7	98
94	97	96.6	97.2	97.2	96.9	97.3
93	96.3	95.9	96.5	96.4	96.2	96.6
92	95.5	95.1	95.8	95.7	95.5	95.9
91	94.8	94.4	95.1	95.1	94.8	95.3
90	94.1	93.6	94.4	94.4	94.1	94.6
89	93.4	92.9	93.8	93.8	93.4	94.1
88	92.8	92.2	93.1	93.2	92.8	93.5
87	92.1	91.6	92.5	92.7	92.2	93
86	91.5	90.9	91.9	92.1	91.6	92.5
85	90.9	90.3	91.3	91.6	91.1	92
84	90.3	89.6	90.8	91.2	90.6	91.6
83	89.7	89	90.2	90.7	90.1	91.2
82	89.2	88.5	89.7	90.3	89.7	90.8
81	88.6	87.9	89.2	89.9	89.3	90.4
80	88.1	87.4	88.7	89.5	88.9	90.1
79	87.6	86.8	88.3	89.2	88.5	89.8
78	87.1	86.3	87.8	88.8	88.1	89.5
77	86.7	85.8	87.4	88.5	87.8	89.2
76	86.2	85.4	87	88.2	87.4	89
75	85.8	84.9	86.6	88	87.1	88.7
74	85.4	84.5	86.2	87.7	86.9	88.5
73	85	84	85.9	87.5	86.6	88.3
72	84.6	83.6	85.5	87.2	86.3	88.1
71	84.2	83.2	85.2	87	86.1	87.9
70	83.9	82.9	84.9	86.8	85.9	87.7
69	83.6	82.5	84.6	86.6	85.6	87.5
68	83.3	82.2	84.3	86.4	85.4	87.4
67	83	81.9	84	86.3	85.2	87.2
66	82.7	81.6	83.8	86.1	85	87.1
65	82.4	81.3	83.5	85.9	84.9	86.9
64	82.2	81.1	83.3	85.8	84.7	86.8
63	81.9	80.8	83.1	85.6	84.5	86.7
62	81.6	80.5	82.9	85.5	84.4	86.6
61	81.4	80.2	82.7	85.4	84.2	86.4
60	81.2	79.9	82.5	85.2	84.1	86.3
59	80.9	79.6	82.3	85.1	83.9	86.2
58	80.7	79.4	82.2	85	83.8	86.1
57	80.5	79.1	82	84.9	83.7	86
56	80.3	78.9	81.8	84.8	83.5	86
55	80.1	78.7	81.7	84.7	83.4	85.9
54	80	78.5	81.5	84.6	83.3	85.8
53	79.8	78.3	81.4	84.5	83.2	85.7
52	79.7	78.1	81.3	84.4	83.1	85.6
51	79.5	78	81.1	84.3	83	85.6
50	79.4	77.8	81	84.2	82.9	85.5
49	79.2	77.7	80.9	84.2	82.9	85.4
48	79.1	77.6	80.8	84.1	82.8	85.4
47	79	77.4	80.7	84	82.7	85.3
46	78.9	77.3	80.6	84	82.6	85.3
45	78.8	77.3	80.5	83.9	82.6	85.2
44	78.8	77.2	80.5	83.9	82.5	85.2
43	78.7	77.1	80.4	83.8	82.5	85.1
42	78.6	77	80.3	83.8	82.4	85.1
41	78.5	77	80.2	83.7	82.4	85.1
40	78.5	76.9	80.2	83.7	82.3	85
39	78.4	76.8	80.1	83.7	82.3	85
38	78.4	76.8	80.1	83.6	82.2	85
37	78.3	76.7	80	83.6	82.2	84.9
36	78.3	76.7	80	83.6	82.2	84.9
35	78.2	76.6	79.9	83.5	82.1	84.9
34	78.2	76.6	79.9	83.5	82.1	84.9
33	78.1	76.5	79.8	83.5	82	84.8
32	78.1	76.5	79.8	83.4	82	84.8
31	78	76.4	79.8	83.4	82	84.8
30	78	76.4	79.7	83.4	81.9	84.8
29	77.9	76.3	79.7	83.3	81.9	84.8
28	77.9	76.3	79.6	83.3	81.8	84.7
27	77.8	76.2	79.6	83.3	81.8	84.7
26	77.8	76.2	79.6	83.2	81.8	84.7
25	77.8	76.1	79.5	83.2	81.7	84.7
24	77.7	76.1	79.5	83.2	81.7	84.7
23	77.7	76	79.4	83.2	81.6	84.7
22	77.6	76	79.4	83.1	81.6	84.6
21	77.6	75.9	79.3	83.1	81.5	84.6
20	77.5	75.9	79.3	83.1	81.5	84.6
19	77.5	75.8	79.2	83	81.5	84.6
18	77.4	75.8	79.2	83	81.4	84.6
17	77.4	75.7	79.1	83	81.4	84.5
16	77.3	75.7	79.1	83	81.4	84.5
15	77.3	75.6	79	82.9	81.4	84.5
14	77.2	75.6	79	82.9	81.4	84.5
13	77.2	75.6	78.9	82.9	81.3	84.5
12	77.2	75.5	78.9	82.9	81.3	84.5
11	77.1	75.5	78.9	82.9	81.3	84.5
10	77.1	75.5	78.9	82.9	81.3	84.5
9	77.1	75.5	78.8	82.9	81.3	84.5
8	77.1	75.4	78.8	82.9	81.3	84.5
7	77	75.4	78.8	82.9	81.3	84.5
6	77	75.3	78.7	82.9	81.3	84.5
5	76.9	75.3	78.6	82.9	81.3	84.5
4	76.9	75.2	78.6	82.9	81.3	84.5
3	76.8	75.2	78.5	82.9	81.3	84.4
2	76.8	75.2	78.5	82.9	81.3	84.4
1	76.6	75	78.3	82.8	81.2	84.4
0	75.5	73.8	77.2	82.5	80.9	84.1

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 83.4 in New Zealand, rising to 82.4 and 85.9 at 65, and to 88.1 and 89.5 at 80 — higher than the 75.5 and 82.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

New Zealand

Male

Female

1x

Age	Survival probability
	Bangladesh			New Zealand
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	2.07%	1.3%	2.82%
99	1.37%	0.63%	2.15%	3.14%	2.04%	4.22%
98	2.06%	1.05%	3.16%	4.59%	3.08%	6.08%
97	2.99%	1.63%	4.44%	6.48%	4.48%	8.44%
96	4.16%	2.43%	6.03%	8.84%	6.3%	11.3%
95	5.6%	3.46%	7.92%	11.7%	8.57%	14.7%
94	7.32%	4.75%	10.1%	15%	11.3%	18.6%
93	9.32%	6.3%	12.6%	18.7%	14.5%	22.8%
92	11.6%	8.13%	15.3%	22.7%	18%	27.4%
91	14.1%	10.2%	18.3%	27.1%	21.9%	32.1%
90	16.8%	12.6%	21.4%	31.5%	26.1%	36.9%
89	19.8%	15.2%	24.7%	36.1%	30.4%	41.6%
88	22.9%	18%	28.1%	40.6%	34.8%	46.3%
87	26.1%	21%	31.6%	44.9%	39.2%	50.7%
86	29.4%	24.1%	35%	49.1%	43.4%	54.8%
85	32.7%	27.4%	38.5%	53.1%	47.6%	58.7%
84	36.1%	30.7%	41.9%	56.9%	51.5%	62.3%
83	39.4%	34%	45.2%	60.4%	55.2%	65.6%
82	42.7%	37.3%	48.5%	63.6%	58.6%	68.6%
81	45.9%	40.5%	51.7%	66.7%	61.9%	71.4%
80	49%	43.7%	54.7%	69.4%	64.9%	73.9%
79	52%	46.8%	57.6%	71.9%	67.6%	76.2%
78	54.9%	49.9%	60.3%	74.2%	70.2%	78.2%
77	57.7%	52.9%	62.9%	76.3%	72.5%	80.1%
76	60.4%	55.7%	65.3%	78.2%	74.6%	81.7%
75	62.9%	58.5%	67.6%	79.9%	76.6%	83.2%
74	65.2%	61.1%	69.8%	81.5%	78.4%	84.6%
73	67.5%	63.5%	71.8%	83%	80%	85.9%
72	69.6%	65.8%	73.6%	84.3%	81.5%	87%
71	71.5%	68%	75.4%	85.4%	82.9%	88%
70	73.4%	69.9%	77%	86.5%	84.1%	88.9%
69	75.1%	71.8%	78.6%	87.5%	85.2%	89.8%
68	76.6%	73.4%	80%	88.4%	86.2%	90.5%
67	78.1%	75%	81.4%	89.2%	87.2%	91.2%
66	79.5%	76.4%	82.6%	90%	88.1%	91.9%
65	80.7%	77.8%	83.8%	90.7%	88.9%	92.5%
64	81.9%	79.2%	84.8%	91.3%	89.7%	93%
63	83.1%	80.5%	85.8%	91.9%	90.4%	93.5%
62	84.2%	81.8%	86.6%	92.5%	91.1%	93.9%
61	85.2%	83%	87.4%	93%	91.7%	94.4%
60	86.2%	84.2%	88.1%	93.5%	92.3%	94.7%
59	87.1%	85.4%	88.8%	93.9%	92.8%	95.1%
58	87.9%	86.4%	89.4%	94.4%	93.3%	95.4%
57	88.7%	87.4%	90%	94.7%	93.7%	95.8%
56	89.4%	88.3%	90.5%	95.1%	94.1%	96.1%
55	90.1%	89.1%	91%	95.4%	94.5%	96.3%
54	90.7%	89.8%	91.5%	95.7%	94.9%	96.6%
53	91.3%	90.5%	92%	96%	95.2%	96.8%
52	91.8%	91.1%	92.4%	96.3%	95.5%	97%
51	92.3%	91.7%	92.8%	96.5%	95.8%	97.3%
50	92.7%	92.2%	93.2%	96.7%	96%	97.4%
49	93.1%	92.6%	93.5%	96.9%	96.3%	97.6%
48	93.4%	93%	93.8%	97.1%	96.5%	97.8%
47	93.8%	93.4%	94.1%	97.3%	96.7%	97.9%
46	94%	93.7%	94.3%	97.4%	96.9%	98%
45	94.3%	94%	94.5%	97.6%	97%	98.2%
44	94.5%	94.2%	94.7%	97.7%	97.2%	98.3%
43	94.7%	94.4%	94.9%	97.8%	97.3%	98.4%
42	94.9%	94.6%	95.1%	97.9%	97.4%	98.4%
41	95.1%	94.8%	95.3%	98%	97.6%	98.5%
40	95.2%	95%	95.5%	98.1%	97.7%	98.6%
39	95.4%	95.1%	95.6%	98.2%	97.8%	98.6%
38	95.5%	95.3%	95.7%	98.3%	97.9%	98.7%
37	95.6%	95.4%	95.8%	98.3%	98%	98.8%
36	95.7%	95.5%	95.9%	98.4%	98%	98.8%
35	95.9%	95.6%	96%	98.5%	98.1%	98.9%
34	96%	95.8%	96.1%	98.5%	98.2%	98.9%
33	96.1%	95.9%	96.2%	98.6%	98.3%	99%
32	96.2%	96%	96.3%	98.7%	98.4%	99%
31	96.3%	96.1%	96.4%	98.7%	98.4%	99%
30	96.3%	96.2%	96.5%	98.8%	98.5%	99.1%
29	96.4%	96.3%	96.5%	98.8%	98.6%	99.1%
28	96.5%	96.4%	96.6%	98.9%	98.7%	99.1%
27	96.6%	96.5%	96.7%	98.9%	98.7%	99.2%
26	96.7%	96.6%	96.8%	99%	98.8%	99.2%
25	96.7%	96.7%	96.8%	99%	98.9%	99.2%
24	96.8%	96.7%	96.9%	99.1%	98.9%	99.3%
23	96.9%	96.8%	97%	99.2%	99%	99.3%
22	97%	96.9%	97%	99.2%	99.1%	99.3%
21	97%	97%	97.1%	99.3%	99.2%	99.3%
20	97.1%	97.1%	97.2%	99.3%	99.2%	99.4%
19	97.2%	97.2%	97.3%	99.3%	99.3%	99.4%
18	97.3%	97.3%	97.4%	99.4%	99.3%	99.4%
17	97.4%	97.4%	97.5%	99.4%	99.4%	99.5%
16	97.5%	97.4%	97.6%	99.4%	99.4%	99.5%
15	97.6%	97.5%	97.6%	99.5%	99.5%	99.5%
14	97.6%	97.6%	97.7%	99.5%	99.5%	99.5%
13	97.7%	97.6%	97.8%	99.5%	99.5%	99.5%
12	97.7%	97.7%	97.8%	99.5%	99.5%	99.5%
11	97.8%	97.7%	97.8%	99.5%	99.5%	99.5%
10	97.8%	97.8%	97.9%	99.5%	99.5%	99.5%
9	97.9%	97.8%	97.9%	99.5%	99.5%	99.5%
8	97.9%	97.8%	98%	99.5%	99.5%	99.6%
7	98%	97.9%	98%	99.5%	99.5%	99.6%
6	98%	97.9%	98.1%	99.5%	99.5%	99.6%
5	98.1%	98%	98.2%	99.6%	99.5%	99.6%
4	98.2%	98.1%	98.3%	99.6%	99.6%	99.6%
3	98.2%	98.1%	98.3%	99.6%	99.6%	99.6%
2	98.3%	98.2%	98.4%	99.6%	99.6%	99.6%
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 93.5% in New Zealand are expected to live past 60, 73.4% and 86.5% past 70, 49% and 69.4% past 80, and only 16.8% and 31.5% 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

New Zealand

Male

Female

1x

Age	Probability of dying
	Bangladesh			New Zealand
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	36.6%	38.6%	35.7%
99	36.9%	43.4%	35%	34.2%	36.2%	33.2%
98	33.8%	39.5%	31.9%	31.6%	33.7%	30.6%
97	30.9%	36%	29%	29.1%	31.3%	28%
96	28.2%	32.7%	26.3%	26.7%	28.9%	25.5%
95	25.7%	29.8%	23.8%	24.3%	26.5%	23.1%
94	23.5%	27.1%	21.6%	22%	24.1%	20.8%
93	21.4%	24.7%	19.6%	19.8%	21.9%	18.6%
92	19.5%	22.5%	17.9%	17.8%	19.7%	16.6%
91	17.8%	20.5%	16.2%	16%	17.8%	14.7%
90	16.3%	18.7%	14.7%	14.2%	15.9%	13%
89	14.8%	17.1%	13.3%	12.6%	14.2%	11.4%
88	13.5%	15.6%	12.1%	11.1%	12.7%	9.97%
87	12.3%	14.3%	10.9%	9.74%	11.2%	8.68%
86	11.2%	13%	9.89%	8.55%	9.84%	7.56%
85	10.2%	11.9%	8.97%	7.51%	8.68%	6.6%
84	9.3%	10.8%	8.14%	6.58%	7.6%	5.76%
83	8.45%	9.74%	7.4%	5.81%	6.71%	5.06%
82	7.68%	8.82%	6.72%	5.12%	5.91%	4.44%
81	6.98%	8.01%	6.1%	4.54%	5.26%	3.91%
80	6.36%	7.29%	5.53%	3.97%	4.61%	3.4%
79	5.8%	6.68%	5.02%	3.49%	4.07%	2.97%
78	5.29%	6.12%	4.54%	3.08%	3.61%	2.61%
77	4.82%	5.61%	4.11%	2.74%	3.23%	2.31%
76	4.39%	5.14%	3.73%	2.43%	2.85%	2.03%
75	3.99%	4.69%	3.37%	2.17%	2.55%	1.81%
74	3.64%	4.27%	3.06%	1.94%	2.28%	1.62%
73	3.32%	3.87%	2.78%	1.73%	2.04%	1.45%
72	3.02%	3.49%	2.54%	1.54%	1.82%	1.28%
71	2.74%	3.15%	2.32%	1.38%	1.63%	1.15%
70	2.49%	2.82%	2.13%	1.24%	1.46%	1.04%
69	2.26%	2.53%	1.96%	1.12%	1.32%	0.94%
68	2.05%	2.28%	1.81%	1.02%	1.2%	0.85%
67	1.87%	2.07%	1.66%	0.93%	1.1%	0.77%
66	1.72%	1.9%	1.52%	0.85%	1.02%	0.7%
65	1.58%	1.78%	1.38%	0.77%	0.93%	0.63%
64	1.47%	1.69%	1.24%	0.71%	0.86%	0.58%
63	1.38%	1.63%	1.11%	0.65%	0.79%	0.53%
62	1.29%	1.57%	0.99%	0.6%	0.73%	0.48%
61	1.21%	1.51%	0.89%	0.56%	0.68%	0.44%
60	1.12%	1.43%	0.81%	0.51%	0.62%	0.41%
59	1.04%	1.33%	0.74%	0.47%	0.57%	0.38%
58	0.96%	1.23%	0.69%	0.44%	0.53%	0.35%
57	0.88%	1.12%	0.64%	0.41%	0.48%	0.33%
56	0.8%	1.01%	0.6%	0.38%	0.45%	0.31%
55	0.74%	0.91%	0.57%	0.35%	0.41%	0.29%
54	0.68%	0.83%	0.54%	0.32%	0.38%	0.27%
53	0.62%	0.75%	0.5%	0.29%	0.34%	0.25%
52	0.57%	0.68%	0.47%	0.27%	0.31%	0.23%
51	0.52%	0.61%	0.44%	0.25%	0.29%	0.21%
50	0.47%	0.55%	0.4%	0.23%	0.26%	0.19%
49	0.42%	0.48%	0.36%	0.2%	0.24%	0.17%
48	0.37%	0.43%	0.32%	0.19%	0.22%	0.16%
47	0.33%	0.37%	0.28%	0.17%	0.2%	0.15%
46	0.29%	0.33%	0.25%	0.16%	0.18%	0.13%
45	0.26%	0.29%	0.23%	0.14%	0.17%	0.12%
44	0.23%	0.26%	0.21%	0.13%	0.16%	0.11%
43	0.22%	0.23%	0.2%	0.12%	0.14%	0.09%
42	0.2%	0.21%	0.19%	0.11%	0.13%	0.08%
41	0.19%	0.19%	0.18%	0.1%	0.12%	0.08%
40	0.17%	0.18%	0.17%	0.09%	0.11%	0.07%
39	0.16%	0.16%	0.15%	0.08%	0.1%	0.06%
38	0.14%	0.15%	0.14%	0.08%	0.1%	0.06%
37	0.13%	0.14%	0.12%	0.08%	0.09%	0.06%
36	0.12%	0.13%	0.11%	0.07%	0.09%	0.05%
35	0.11%	0.13%	0.1%	0.07%	0.09%	0.05%
34	0.11%	0.12%	0.09%	0.07%	0.09%	0.05%
33	0.1%	0.12%	0.09%	0.06%	0.08%	0.04%
32	0.1%	0.12%	0.09%	0.06%	0.08%	0.04%
31	0.1%	0.12%	0.09%	0.06%	0.08%	0.04%
30	0.1%	0.11%	0.09%	0.06%	0.07%	0.04%
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%	0.05%	0.07%	0.03%
26	0.08%	0.08%	0.07%	0.05%	0.07%	0.03%
25	0.07%	0.08%	0.07%	0.05%	0.07%	0.03%
24	0.07%	0.08%	0.07%	0.05%	0.07%	0.03%
23	0.08%	0.08%	0.07%	0.05%	0.07%	0.03%
22	0.08%	0.08%	0.07%	0.05%	0.07%	0.03%
21	0.08%	0.09%	0.08%	0.05%	0.07%	0.03%
20	0.09%	0.09%	0.09%	0.05%	0.07%	0.03%
19	0.09%	0.1%	0.09%	0.05%	0.06%	0.03%
18	0.1%	0.1%	0.09%	0.04%	0.06%	0.03%
17	0.09%	0.09%	0.09%	0.04%	0.05%	0.02%
16	0.09%	0.09%	0.09%	0.03%	0.03%	0.02%
15	0.08%	0.08%	0.08%	0.02%	0.03%	0.02%
14	0.07%	0.07%	0.07%	0.02%	0.02%	0.02%
13	0.06%	0.05%	0.06%	0.01%	0.01%	0.01%
12	0.05%	0.04%	0.05%	0.009%	0.009%	0.008%
11	0.04%	0.04%	0.04%	0.007%	0.007%	0.006%
10	0.04%	0.03%	0.04%	0.006%	0.007%	0.005%
9	0.04%	0.04%	0.04%	0.006%	0.007%	0.005%
8	0.05%	0.04%	0.05%	0.006%	0.007%	0.006%
7	0.06%	0.05%	0.06%	0.007%	0.007%	0.006%
6	0.07%	0.07%	0.07%	0.007%	0.008%	0.006%
5	0.08%	0.07%	0.08%	0.008%	0.008%	0.007%
4	0.07%	0.07%	0.08%	0.009%	0.01%	0.007%
3	0.06%	0.06%	0.07%	0.01%	0.01%	0.01%
2	0.07%	0.07%	0.07%	0.02%	0.03%	0.02%
1	0.18%	0.18%	0.17%	0.05%	0.06%	0.05%
0	1.53%	1.61%	1.44%	0.35%	0.35%	0.35%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 0.35% in New Zealand, 0.1% vs 0.06% at age 30, 1.12% vs 0.51% at 60, and 6.36% vs 3.97% at 80.

Death rate by age in Bangladesh vs New Zealand

Chart Table

Bangladesh

Male

Female

New Zealand

Male

Female

1x

Age	Death rate
	Bangladesh			New Zealand
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	591	299	876
99	504	274.2	753	1,073	738	1,401
98	698	414	1,006	1,454	1,038	1,860
97	924	588	1,288	1,889	1,402	2,365
96	1,175	796	1,587	2,360	1,820	2,888
95	1,440	1,030	1,887	2,840	2,272	3,397
94	1,718	1,287	2,186	3,298	2,728	3,858
93	1,995	1,557	2,471	3,709	3,162	4,247
92	2,264	1,828	2,735	4,057	3,557	4,545
91	2,514	2,095	2,969	4,318	3,893	4,731
90	2,738	2,353	3,155	4,472	4,148	4,792
89	2,932	2,596	3,297	4,529	4,320	4,746
88	3,093	2,815	3,394	4,500	4,403	4,611
87	3,217	3,003	3,447	4,378	4,377	4,395
86	3,301	3,148	3,465	4,200	4,275	4,141
85	3,347	3,247	3,451	3,993	4,126	3,875
84	3,355	3,299	3,412	3,740	3,909	3,583
83	3,331	3,310	3,348	3,508	3,701	3,316
82	3,279	3,289	3,261	3,258	3,468	3,045
81	3,205	3,246	3,153	3,025	3,256	2,792
80	3,114	3,189	3,027	2,753	2,992	2,514
79	3,015	3,128	2,889	2,511	2,756	2,264
78	2,903	3,054	2,742	2,289	2,536	2,039
77	2,781	2,966	2,589	2,095	2,340	1,846
76	2,649	2,862	2,434	1,897	2,130	1,662
75	2,510	2,740	2,281	1,732	1,952	1,510
74	2,374	2,605	2,137	1,579	1,787	1,371
73	2,238	2,458	1,998	1,435	1,631	1,241
72	2,099	2,301	1,868	1,298	1,481	1,117
71	1,961	2,138	1,748	1,182	1,353	1,015
70	1,826	1,974	1,638	1,071	1,224	922
69	1,697	1,817	1,540	981	1,122	845
68	1,574	1,674	1,445	902	1,036	772
67	1,463	1,551	1,351	832	962	704
66	1,364	1,452	1,255	768	898	643
65	1,278	1,382	1,154	702	826	583
64	1,206	1,339	1,052	650	768	538
63	1,143	1,310	953	600	712	493
62	1,085	1,285	861	555	661	452
61	1,028	1,253	781	518	620	419
60	968	1,203	714	478	572	385
59	906	1,138	659	443	530	360
58	841	1,059	615	412	490	337
57	778	975	577	385	454	317
56	718	892	545	357	419	297.3
55	664	814	516	334	390	279.1
54	615	743	490	308	358	258.9
53	570	679	464	283	327	239.9
52	526	618	437	259	298.4	220.9
51	482	560	406	239.2	275.4	203.8
50	437	503	371	217.7	250.8	185
49	391	448	334	198.7	229	168.7
48	347	396	296.7	182.2	209.5	155.2
47	307	349	263.5	167.5	192.3	143.1
46	272.6	308	235.8	153.6	176.8	130.6
45	244	272.8	214.7	140.1	162.7	117.6
44	221.8	243.8	200.3	128.2	151.1	105.5
43	204.5	219.6	190.2	116.2	139.2	93.4
42	190.1	199.2	181.9	105.2	128	82.6
41	177.1	181.7	173	96.6	119.1	74.5
40	164	166.5	161.7	88.3	108.9	67.8
39	149.7	153.1	146.8	82.3	100.7	63.9
38	135.6	141.5	130.4	77.2	94	60.5
37	123.1	132.1	115.1	74.1	90.9	57.2
36	112.9	124.8	102.4	71.2	88.6	53.7
35	105.6	119.7	93.2	68.8	86.6	50.7
34	101.3	116.7	87.9	66.3	84.2	47.7
33	99.2	115.2	85.6	63.4	81.5	44.4
32	98.3	114.1	85	60.6	78.9	41.3
31	97.4	112.5	84.9	58	76.1	38.4
30	95.3	109.1	84	54.8	72.5	35.6
29	90.9	103.1	81.1	52.8	70.4	33.9
28	85.2	95.6	76.8	51.7	69.1	33
27	79.3	88.1	72.3	51.5	69.3	32.4
26	74.5	81.9	68.5	52	71.2	31.5
25	71.7	78	66.4	52.7	73.5	30.8
24	71	76.7	66.2	52.6	73.9	30.2
23	73	78.2	68.4	52.1	73.2	29.9
22	76.9	81.7	72.4	51	71.7	29.2
21	81.9	86.3	77.8	49.5	69.8	28.4
20	87.2	90.9	83.5	47.4	66.7	27.2
19	91.1	93.9	88.3	45	62.7	26.3
18	92.8	94.5	91	40.6	55	25.3
17	91.4	92	90.8	35	45	24.3
16	86.6	86.2	87	28.8	34.7	22.6
15	78	77	79	22.5	25.5	19.3
14	66.5	65.4	67.8	16.8	18.2	15.3
13	54.3	53.3	55.5	11.9	12.7	11.2
12	44.1	43.2	45.1	8.52	9.13	7.88
11	37.7	36.8	38.7	6.5	7.19	5.76
10	34.4	33.5	35.3	5.75	6.56	4.89
9	36.2	35	37.5	5.95	6.79	5.06
8	44.9	42.8	47	6.31	7	5.58
7	56.8	53.6	60.1	6.66	7.2	6.09
6	67.8	63.8	72.1	6.98	7.59	6.34
5	74.1	69.7	78.7	7.55	8.43	6.62
4	71.7	67.9	75.7	8.67	9.92	7.35
3	61.4	58.9	63.9	11.9	13.8	9.99
2	70.1	68.9	71.4	22	25	18.9
1	172.9	175.4	170.2	54.6	60	49
0	1,530	1,613	1,443	348	350	346

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 89 in New Zealand. The median age of death is 79.7 in Bangladesh and 85.8 in New Zealand, 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 New Zealand more than their death rates.

Life expectancy in other countries

+ -

1x