Life Expectancy in Bangladesh vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Tanzania
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102.5	101.9	102.6
99	101.2	100.9	101.3	101.7	101	101.7
98	100.3	99.9	100.4	100.8	100.1	100.9
97	99.4	99.1	99.6	100	99.2	100.1
96	98.6	98.2	98.8	99.1	98.4	99.3
95	97.8	97.4	98	98.3	97.5	98.4
94	97	96.6	97.2	97.4	96.6	97.7
93	96.3	95.9	96.5	96.6	95.8	96.9
92	95.5	95.1	95.8	95.8	94.9	96.1
91	94.8	94.4	95.1	95.1	94.1	95.4
90	94.1	93.6	94.4	94.3	93.3	94.6
89	93.4	92.9	93.8	93.5	92.5	93.9
88	92.8	92.2	93.1	92.7	91.7	93.2
87	92.1	91.6	92.5	92	90.9	92.5
86	91.5	90.9	91.9	91.3	90.1	91.9
85	90.9	90.3	91.3	90.6	89.4	91.2
84	90.3	89.6	90.8	89.9	88.7	90.6
83	89.7	89	90.2	89.2	88	90
82	89.2	88.5	89.7	88.6	87.3	89.4
81	88.6	87.9	89.2	87.9	86.6	88.9
80	88.1	87.4	88.7	87.3	86	88.3
79	87.6	86.8	88.3	86.8	85.3	87.8
78	87.1	86.3	87.8	86.2	84.7	87.3
77	86.7	85.8	87.4	85.6	84.1	86.8
76	86.2	85.4	87	85.1	83.5	86.3
75	85.8	84.9	86.6	84.5	83	85.8
74	85.4	84.5	86.2	84	82.4	85.3
73	85	84	85.9	83.5	81.9	84.8
72	84.6	83.6	85.5	83	81.4	84.3
71	84.2	83.2	85.2	82.5	80.9	83.9
70	83.9	82.9	84.9	82.1	80.4	83.4
69	83.6	82.5	84.6	81.6	79.9	83
68	83.3	82.2	84.3	81.2	79.4	82.6
67	83	81.9	84	80.7	79	82.2
66	82.7	81.6	83.8	80.3	78.5	81.8
65	82.4	81.3	83.5	79.9	78.1	81.4
64	82.2	81.1	83.3	79.5	77.6	81
63	81.9	80.8	83.1	79.1	77.2	80.7
62	81.6	80.5	82.9	78.7	76.8	80.3
61	81.4	80.2	82.7	78.4	76.4	80
60	81.2	79.9	82.5	78	76.1	79.7
59	80.9	79.6	82.3	77.7	75.7	79.4
58	80.7	79.4	82.2	77.4	75.4	79.1
57	80.5	79.1	82	77.1	75	78.9
56	80.3	78.9	81.8	76.8	74.7	78.6
55	80.1	78.7	81.7	76.5	74.4	78.3
54	80	78.5	81.5	76.2	74.1	78.1
53	79.8	78.3	81.4	75.9	73.8	77.9
52	79.7	78.1	81.3	75.7	73.5	77.6
51	79.5	78	81.1	75.4	73.3	77.4
50	79.4	77.8	81	75.2	73	77.2
49	79.2	77.7	80.9	75	72.7	77
48	79.1	77.6	80.8	74.7	72.5	76.8
47	79	77.4	80.7	74.5	72.3	76.6
46	78.9	77.3	80.6	74.3	72	76.5
45	78.8	77.3	80.5	74.1	71.8	76.3
44	78.8	77.2	80.5	73.9	71.6	76.1
43	78.7	77.1	80.4	73.8	71.4	76
42	78.6	77	80.3	73.6	71.2	75.8
41	78.5	77	80.2	73.4	71	75.6
40	78.5	76.9	80.2	73.2	70.8	75.5
39	78.4	76.8	80.1	73.1	70.7	75.4
38	78.4	76.8	80.1	72.9	70.5	75.2
37	78.3	76.7	80	72.8	70.3	75.1
36	78.3	76.7	80	72.6	70.2	75
35	78.2	76.6	79.9	72.5	70	74.8
34	78.2	76.6	79.9	72.4	69.9	74.7
33	78.1	76.5	79.8	72.2	69.7	74.6
32	78.1	76.5	79.8	72.1	69.6	74.5
31	78	76.4	79.8	72	69.5	74.4
30	78	76.4	79.7	71.9	69.3	74.3
29	77.9	76.3	79.7	71.8	69.2	74.2
28	77.9	76.3	79.6	71.7	69.1	74.1
27	77.8	76.2	79.6	71.6	69	74
26	77.8	76.2	79.6	71.4	68.9	73.9
25	77.8	76.1	79.5	71.4	68.7	73.9
24	77.7	76.1	79.5	71.3	68.6	73.8
23	77.7	76	79.4	71.2	68.5	73.7
22	77.6	76	79.4	71.1	68.4	73.6
21	77.6	75.9	79.3	71	68.3	73.6
20	77.5	75.9	79.3	70.9	68.2	73.5
19	77.5	75.8	79.2	70.8	68.1	73.4
18	77.4	75.8	79.2	70.8	68.1	73.4
17	77.4	75.7	79.1	70.7	68	73.3
16	77.3	75.7	79.1	70.6	67.9	73.3
15	77.3	75.6	79	70.6	67.9	73.2
14	77.2	75.6	79	70.5	67.8	73.2
13	77.2	75.6	78.9	70.5	67.8	73.2
12	77.2	75.5	78.9	70.5	67.7	73.1
11	77.1	75.5	78.9	70.4	67.7	73.1
10	77.1	75.5	78.9	70.4	67.7	73.1
9	77.1	75.5	78.8	70.4	67.6	73
8	77.1	75.4	78.8	70.3	67.6	73
7	77	75.4	78.8	70.3	67.5	72.9
6	77	75.3	78.7	70.2	67.5	72.9
5	76.9	75.3	78.6	70.2	67.4	72.8
4	76.9	75.2	78.6	70.1	67.3	72.7
3	76.8	75.2	78.5	69.9	67.2	72.6
2	76.8	75.2	78.5	69.8	67	72.4
1	76.6	75	78.3	69.5	66.8	72.2
0	75.5	73.8	77.2	67.6	64.8	70.4

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 71.9 in Tanzania, rising to 82.4 and 79.9 at 65, and to 88.1 and 87.3 at 80 — higher than the 75.5 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Bangladesh			Tanzania
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.67%	0.12%	1.28%
99	1.37%	0.63%	2.15%	0.94%	0.2%	1.76%
98	2.06%	1.05%	3.16%	1.29%	0.3%	2.36%
97	2.99%	1.63%	4.44%	1.73%	0.46%	3.12%
96	4.16%	2.43%	6.03%	2.29%	0.68%	4.05%
95	5.6%	3.46%	7.92%	2.99%	0.98%	5.16%
94	7.32%	4.75%	10.1%	3.82%	1.38%	6.46%
93	9.32%	6.3%	12.6%	4.81%	1.89%	7.95%
92	11.6%	8.13%	15.3%	5.97%	2.55%	9.63%
91	14.1%	10.2%	18.3%	7.28%	3.35%	11.5%
90	16.8%	12.6%	21.4%	8.82%	4.35%	13.5%
89	19.8%	15.2%	24.7%	10.5%	5.52%	15.7%
88	22.9%	18%	28.1%	12.4%	6.9%	18.1%
87	26.1%	21%	31.6%	14.4%	8.47%	20.5%
86	29.4%	24.1%	35%	16.6%	10.2%	23.1%
85	32.7%	27.4%	38.5%	19%	12.2%	25.7%
84	36.1%	30.7%	41.9%	21.4%	14.3%	28.4%
83	39.4%	34%	45.2%	23.9%	16.6%	31%
82	42.7%	37.3%	48.5%	26.5%	19%	33.6%
81	45.9%	40.5%	51.7%	29%	21.4%	36.1%
80	49%	43.7%	54.7%	31.5%	24%	38.5%
79	52%	46.8%	57.6%	34.1%	26.6%	41%
78	54.9%	49.9%	60.3%	36.6%	29.2%	43.4%
77	57.7%	52.9%	62.9%	39.2%	31.8%	45.8%
76	60.4%	55.7%	65.3%	41.7%	34.5%	48.2%
75	62.9%	58.5%	67.6%	44.2%	37.1%	50.6%
74	65.2%	61.1%	69.8%	46.6%	39.7%	52.9%
73	67.5%	63.5%	71.8%	49%	42.2%	55.1%
72	69.6%	65.8%	73.6%	51.3%	44.7%	57.3%
71	71.5%	68%	75.4%	53.5%	47.1%	59.4%
70	73.4%	69.9%	77%	55.7%	49.5%	61.4%
69	75.1%	71.8%	78.6%	57.7%	51.8%	63.3%
68	76.6%	73.4%	80%	59.7%	54%	65.2%
67	78.1%	75%	81.4%	61.7%	56.2%	67%
66	79.5%	76.4%	82.6%	63.6%	58.3%	68.8%
65	80.7%	77.8%	83.8%	65.4%	60.3%	70.5%
64	81.9%	79.2%	84.8%	67.2%	62.3%	72%
63	83.1%	80.5%	85.8%	68.8%	64.2%	73.5%
62	84.2%	81.8%	86.6%	70.4%	66%	74.9%
61	85.2%	83%	87.4%	71.9%	67.6%	76.2%
60	86.2%	84.2%	88.1%	73.3%	69.3%	77.5%
59	87.1%	85.4%	88.8%	74.7%	70.8%	78.6%
58	87.9%	86.4%	89.4%	75.9%	72.2%	79.7%
57	88.7%	87.4%	90%	77.1%	73.6%	80.7%
56	89.4%	88.3%	90.5%	78.2%	74.9%	81.6%
55	90.1%	89.1%	91%	79.3%	76.1%	82.5%
54	90.7%	89.8%	91.5%	80.3%	77.3%	83.3%
53	91.3%	90.5%	92%	81.3%	78.4%	84.2%
52	91.8%	91.1%	92.4%	82.2%	79.4%	84.9%
51	92.3%	91.7%	92.8%	83%	80.4%	85.6%
50	92.7%	92.2%	93.2%	83.9%	81.4%	86.3%
49	93.1%	92.6%	93.5%	84.6%	82.3%	86.9%
48	93.4%	93%	93.8%	85.3%	83.1%	87.5%
47	93.8%	93.4%	94.1%	86%	83.9%	88.1%
46	94%	93.7%	94.3%	86.6%	84.7%	88.6%
45	94.3%	94%	94.5%	87.2%	85.4%	89.1%
44	94.5%	94.2%	94.7%	87.8%	86%	89.6%
43	94.7%	94.4%	94.9%	88.3%	86.7%	90%
42	94.9%	94.6%	95.1%	88.8%	87.2%	90.5%
41	95.1%	94.8%	95.3%	89.3%	87.8%	90.8%
40	95.2%	95%	95.5%	89.8%	88.3%	91.2%
39	95.4%	95.1%	95.6%	90.2%	88.8%	91.6%
38	95.5%	95.3%	95.7%	90.6%	89.3%	91.9%
37	95.6%	95.4%	95.8%	91%	89.8%	92.2%
36	95.7%	95.5%	95.9%	91.3%	90.2%	92.5%
35	95.9%	95.6%	96%	91.7%	90.6%	92.8%
34	96%	95.8%	96.1%	92%	90.9%	93.1%
33	96.1%	95.9%	96.2%	92.3%	91.3%	93.3%
32	96.2%	96%	96.3%	92.6%	91.6%	93.6%
31	96.3%	96.1%	96.4%	92.9%	92%	93.8%
30	96.3%	96.2%	96.5%	93.1%	92.3%	94%
29	96.4%	96.3%	96.5%	93.4%	92.5%	94.2%
28	96.5%	96.4%	96.6%	93.6%	92.8%	94.4%
27	96.6%	96.5%	96.7%	93.8%	93.1%	94.6%
26	96.7%	96.6%	96.8%	94%	93.3%	94.8%
25	96.7%	96.7%	96.8%	94.2%	93.6%	94.9%
24	96.8%	96.7%	96.9%	94.4%	93.8%	95.1%
23	96.9%	96.8%	97%	94.6%	94%	95.2%
22	97%	96.9%	97%	94.8%	94.2%	95.4%
21	97%	97%	97.1%	95%	94.4%	95.5%
20	97.1%	97.1%	97.2%	95.1%	94.6%	95.6%
19	97.2%	97.2%	97.3%	95.3%	94.8%	95.7%
18	97.3%	97.3%	97.4%	95.4%	95%	95.8%
17	97.4%	97.4%	97.5%	95.5%	95.1%	95.9%
16	97.5%	97.4%	97.6%	95.6%	95.2%	96%
15	97.6%	97.5%	97.6%	95.7%	95.3%	96.1%
14	97.6%	97.6%	97.7%	95.8%	95.4%	96.1%
13	97.7%	97.6%	97.8%	95.8%	95.5%	96.2%
12	97.7%	97.7%	97.8%	95.9%	95.5%	96.2%
11	97.8%	97.7%	97.8%	95.9%	95.6%	96.3%
10	97.8%	97.8%	97.9%	96%	95.7%	96.4%
9	97.9%	97.8%	97.9%	96.1%	95.7%	96.4%
8	97.9%	97.8%	98%	96.1%	95.8%	96.5%
7	98%	97.9%	98%	96.2%	95.9%	96.5%
6	98%	97.9%	98.1%	96.3%	96%	96.6%
5	98.1%	98%	98.2%	96.4%	96.1%	96.7%
4	98.2%	98.1%	98.3%	96.5%	96.2%	96.8%
3	98.2%	98.1%	98.3%	96.7%	96.4%	97%
2	98.3%	98.2%	98.4%	96.9%	96.6%	97.2%
1	98.5%	98.4%	98.6%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 73.3% in Tanzania are expected to live past 60, 73.4% and 55.7% past 70, 49% and 31.5% past 80, and only 16.8% and 8.82% 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

Tanzania

Male

Female

1x

Age	Probability of dying
	Bangladesh			Tanzania
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	29.4%	38.6%	28.4%
99	36.9%	43.4%	35%	28.3%	37.1%	27.2%
98	33.8%	39.5%	31.9%	26.8%	35.3%	25.5%
97	30.9%	36%	29%	25.7%	33.9%	24.3%
96	28.2%	32.7%	26.3%	24.5%	32.3%	23%
95	25.7%	29.8%	23.8%	23.3%	30.7%	21.6%
94	23.5%	27.1%	21.6%	21.8%	28.9%	20.1%
93	21.4%	24.7%	19.6%	20.6%	27.3%	18.7%
92	19.5%	22.5%	17.9%	19.4%	25.7%	17.5%
91	17.8%	20.5%	16.2%	18.1%	24%	16%
90	16.3%	18.7%	14.7%	17.4%	22.9%	15.3%
89	14.8%	17.1%	13.3%	16.1%	21.3%	13.9%
88	13.5%	15.6%	12.1%	15.2%	20%	13%
87	12.3%	14.3%	10.9%	14.2%	18.6%	12%
86	11.2%	13%	9.89%	13.3%	17.3%	11.1%
85	10.2%	11.9%	8.97%	12.3%	16%	10.2%
84	9.3%	10.8%	8.14%	11.4%	14.9%	9.37%
83	8.45%	9.74%	7.4%	10.4%	13.7%	8.46%
82	7.68%	8.82%	6.72%	9.6%	12.6%	7.7%
81	6.98%	8.01%	6.1%	8.6%	11.4%	6.8%
80	6.36%	7.29%	5.53%	8.09%	10.6%	6.4%
79	5.8%	6.68%	5.02%	7.47%	9.73%	5.95%
78	5.29%	6.12%	4.54%	7.01%	9.02%	5.65%
77	4.82%	5.61%	4.11%	6.47%	8.26%	5.24%
76	4.39%	5.14%	3.73%	6.05%	7.65%	4.95%
75	3.99%	4.69%	3.37%	5.63%	7.08%	4.66%
74	3.64%	4.27%	3.06%	5.22%	6.52%	4.35%
73	3.32%	3.87%	2.78%	4.83%	6.02%	4.06%
72	3.02%	3.49%	2.54%	4.5%	5.58%	3.8%
71	2.74%	3.15%	2.32%	4.12%	5.1%	3.49%
70	2.49%	2.82%	2.13%	3.91%	4.8%	3.33%
69	2.26%	2.53%	1.96%	3.59%	4.41%	3.06%
68	2.05%	2.28%	1.81%	3.37%	4.12%	2.88%
67	1.87%	2.07%	1.66%	3.16%	3.84%	2.7%
66	1.72%	1.9%	1.52%	2.97%	3.6%	2.54%
65	1.58%	1.78%	1.38%	2.83%	3.4%	2.41%
64	1.47%	1.69%	1.24%	2.61%	3.15%	2.2%
63	1.38%	1.63%	1.11%	2.42%	2.92%	2.02%
62	1.29%	1.57%	0.99%	2.25%	2.71%	1.86%
61	1.21%	1.51%	0.89%	2.06%	2.49%	1.7%
60	1.12%	1.43%	0.81%	1.94%	2.34%	1.58%
59	1.04%	1.33%	0.74%	1.78%	2.14%	1.44%
58	0.96%	1.23%	0.69%	1.66%	1.99%	1.34%
57	0.88%	1.12%	0.64%	1.54%	1.85%	1.24%
56	0.8%	1.01%	0.6%	1.44%	1.73%	1.16%
55	0.74%	0.91%	0.57%	1.35%	1.62%	1.09%
54	0.68%	0.83%	0.54%	1.26%	1.52%	1.02%
53	0.62%	0.75%	0.5%	1.18%	1.42%	0.95%
52	0.57%	0.68%	0.47%	1.11%	1.34%	0.9%
51	0.52%	0.61%	0.44%	1.03%	1.24%	0.83%
50	0.47%	0.55%	0.4%	0.97%	1.17%	0.79%
49	0.42%	0.48%	0.36%	0.9%	1.08%	0.73%
48	0.37%	0.43%	0.32%	0.84%	1.01%	0.68%
47	0.33%	0.37%	0.28%	0.78%	0.94%	0.63%
46	0.29%	0.33%	0.25%	0.73%	0.88%	0.59%
45	0.26%	0.29%	0.23%	0.69%	0.83%	0.56%
44	0.23%	0.26%	0.21%	0.64%	0.77%	0.52%
43	0.22%	0.23%	0.2%	0.6%	0.72%	0.49%
42	0.2%	0.21%	0.19%	0.57%	0.68%	0.47%
41	0.19%	0.19%	0.18%	0.53%	0.63%	0.44%
40	0.17%	0.18%	0.17%	0.51%	0.6%	0.42%
39	0.16%	0.16%	0.15%	0.47%	0.56%	0.39%
38	0.14%	0.15%	0.14%	0.45%	0.53%	0.37%
37	0.13%	0.14%	0.12%	0.42%	0.5%	0.34%
36	0.12%	0.13%	0.11%	0.39%	0.47%	0.33%
35	0.11%	0.13%	0.1%	0.37%	0.44%	0.31%
34	0.11%	0.12%	0.09%	0.35%	0.41%	0.29%
33	0.1%	0.12%	0.09%	0.33%	0.39%	0.27%
32	0.1%	0.12%	0.09%	0.31%	0.37%	0.25%
31	0.1%	0.12%	0.09%	0.29%	0.34%	0.24%
30	0.1%	0.11%	0.09%	0.28%	0.33%	0.23%
29	0.09%	0.11%	0.08%	0.26%	0.31%	0.21%
28	0.09%	0.1%	0.08%	0.25%	0.3%	0.2%
27	0.08%	0.09%	0.07%	0.24%	0.28%	0.19%
26	0.08%	0.08%	0.07%	0.22%	0.27%	0.18%
25	0.07%	0.08%	0.07%	0.21%	0.26%	0.17%
24	0.07%	0.08%	0.07%	0.2%	0.25%	0.16%
23	0.08%	0.08%	0.07%	0.19%	0.24%	0.15%
22	0.08%	0.08%	0.07%	0.18%	0.23%	0.14%
21	0.08%	0.09%	0.08%	0.17%	0.21%	0.13%
20	0.09%	0.09%	0.09%	0.16%	0.2%	0.13%
19	0.09%	0.1%	0.09%	0.15%	0.18%	0.12%
18	0.1%	0.1%	0.09%	0.14%	0.17%	0.11%
17	0.09%	0.09%	0.09%	0.12%	0.14%	0.1%
16	0.09%	0.09%	0.09%	0.1%	0.12%	0.09%
15	0.08%	0.08%	0.08%	0.09%	0.1%	0.08%
14	0.07%	0.07%	0.07%	0.08%	0.09%	0.07%
13	0.06%	0.05%	0.06%	0.07%	0.08%	0.06%
12	0.05%	0.04%	0.05%	0.06%	0.07%	0.06%
11	0.04%	0.04%	0.04%	0.06%	0.07%	0.05%
10	0.04%	0.03%	0.04%	0.06%	0.07%	0.05%
9	0.04%	0.04%	0.04%	0.06%	0.07%	0.06%
8	0.05%	0.04%	0.05%	0.07%	0.07%	0.06%
7	0.06%	0.05%	0.06%	0.08%	0.08%	0.07%
6	0.07%	0.07%	0.07%	0.08%	0.09%	0.08%
5	0.08%	0.07%	0.08%	0.1%	0.11%	0.09%
4	0.07%	0.07%	0.08%	0.13%	0.14%	0.12%
3	0.06%	0.06%	0.07%	0.18%	0.18%	0.17%
2	0.07%	0.07%	0.07%	0.25%	0.26%	0.25%
1	0.18%	0.18%	0.17%	0.41%	0.41%	0.4%
0	1.53%	1.61%	1.44%	2.69%	2.99%	2.38%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 2.69% in Tanzania, 0.1% vs 0.28% at age 30, 1.12% vs 1.94% at 60, and 6.36% vs 8.09% at 80.

Death rate by age in Bangladesh vs Tanzania

Chart Table

Bangladesh

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Bangladesh			Tanzania
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	140.1	0.71	294.9
99	504	274.2	753	266.5	72.6	478
98	698	414	1,006	344	107.1	602
97	924	588	1,288	444	155.1	756
96	1,175	796	1,587	562	218.8	930
95	1,440	1,030	1,887	695	300	1,116
94	1,718	1,287	2,186	834	398	1,297
93	1,995	1,557	2,471	989	516	1,486
92	2,264	1,828	2,735	1,159	656	1,682
91	2,514	2,095	2,969	1,316	805	1,836
90	2,738	2,353	3,155	1,536	994	2,078
89	2,932	2,596	3,297	1,690	1,174	2,190
88	3,093	2,815	3,394	1,881	1,377	2,351
87	3,217	3,003	3,447	2,045	1,575	2,462
86	3,301	3,148	3,465	2,207	1,777	2,566
85	3,347	3,247	3,451	2,336	1,957	2,629
84	3,355	3,299	3,412	2,452	2,143	2,662
83	3,331	3,310	3,348	2,499	2,269	2,625
82	3,279	3,289	3,261	2,540	2,389	2,588
81	3,205	3,246	3,153	2,490	2,434	2,451
80	3,114	3,189	3,027	2,549	2,548	2,467
79	3,015	3,128	2,889	2,545	2,586	2,439
78	2,903	3,054	2,742	2,569	2,636	2,453
77	2,781	2,966	2,589	2,533	2,630	2,402
76	2,649	2,862	2,434	2,519	2,638	2,384
75	2,510	2,740	2,281	2,489	2,625	2,358
74	2,374	2,605	2,137	2,431	2,589	2,297
73	2,238	2,458	1,998	2,367	2,543	2,235
72	2,099	2,301	1,868	2,309	2,496	2,179
71	1,961	2,138	1,748	2,205	2,404	2,072
70	1,826	1,974	1,638	2,174	2,375	2,046
69	1,697	1,817	1,540	2,072	2,284	1,936
68	1,574	1,674	1,445	2,015	2,226	1,877
67	1,463	1,551	1,351	1,948	2,160	1,806
66	1,364	1,452	1,255	1,889	2,097	1,743
65	1,278	1,382	1,154	1,848	2,051	1,698
64	1,206	1,339	1,052	1,753	1,961	1,588
63	1,143	1,310	953	1,666	1,874	1,488
62	1,085	1,285	861	1,583	1,789	1,396
61	1,028	1,253	781	1,484	1,686	1,293
60	968	1,203	714	1,422	1,617	1,227
59	906	1,138	659	1,327	1,514	1,135
58	841	1,059	615	1,257	1,436	1,069
57	778	975	577	1,185	1,359	1,002
56	718	892	545	1,126	1,294	949
55	664	814	516	1,069	1,234	895
54	615	743	490	1,015	1,174	848
53	570	679	464	962	1,116	802
52	526	618	437	914	1,062	763
51	482	560	406	856	999	711
50	437	503	371	817	955	680
49	391	448	334	761	892	633
48	347	396	296.7	716	840	596
47	307	349	263.5	671	789	558
46	272.6	308	235.8	632	744	525
45	244	272.8	214.7	599	705	498
44	221.8	243.8	200.3	563	661	469
43	204.5	219.6	190.2	533	625	445
42	190.1	199.2	181.9	507	593	423
41	177.1	181.7	173	476	557	397
40	164	166.5	161.7	455	533	380
39	149.7	153.1	146.8	428	500	357
38	135.6	141.5	130.4	405	473	338
37	123.1	132.1	115.1	382	446	318
36	112.9	124.8	102.4	361	420	301
35	105.6	119.7	93.2	341	398	284.4
34	101.3	116.7	87.9	321	375	266.3
33	99.2	115.2	85.6	303	353	251.3
32	98.3	114.1	85	286.8	335	237.8
31	97.4	112.5	84.9	269.7	316	222.6
30	95.3	109.1	84	258.9	303	213.8
29	90.9	103.1	81.1	245	287.2	202.1
28	85.2	95.6	76.8	233.1	274.4	191
27	79.3	88.1	72.3	222.2	262.5	181.1
26	74.5	81.9	68.5	211.5	251.5	171
25	71.7	78	66.4	201.9	242.2	161.1
24	71	76.7	66.2	192.7	232.5	152.5
23	73	78.2	68.4	183.7	223.1	143.7
22	76.9	81.7	72.4	174.2	212.6	135.4
21	81.9	86.3	77.8	164	200.4	127
20	87.2	90.9	83.5	154.3	187.4	120.7
19	91.1	93.9	88.3	142.8	172.9	112.2
18	92.8	94.5	91	130.5	157.1	103.4
17	91.4	92	90.8	114.1	134.6	93.3
16	86.6	86.2	87	98.8	113.8	83.6
15	78	77	79	85	95.7	74
14	66.5	65.4	67.8	73.3	81.7	64.7
13	54.3	53.3	55.5	65.1	71.8	58.2
12	44.1	43.2	45.1	60	66.3	53.6
11	37.7	36.8	38.7	57.8	63.8	51.6
10	34.4	33.5	35.3	57.7	63	52.2
9	36.2	35	37.5	59.9	65.2	54.4
8	44.9	42.8	47	64.7	70.4	58.8
7	56.8	53.6	60.1	72.2	78.1	66.1
6	67.8	63.8	72.1	81.7	87.3	76
5	74.1	69.7	78.7	96.7	101.8	91.4
4	71.7	67.9	75.7	125.6	131.7	119.3
3	61.4	58.9	63.9	171.2	177.9	164.3
2	70.1	68.9	71.4	246.7	252.7	240.5
1	172.9	175.4	170.2	394	394	394
0	1,530	1,613	1,443	2,690	2,990	2,383

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 Tanzania. The median age of death is 79.7 in Bangladesh and 72.6 in Tanzania, 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 Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x