Life Expectancy in Bangladesh vs Congo (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Congo

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Congo
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	101.9	101.9	101.9
99	101.2	100.9	101.3	101	101	101
98	100.3	99.9	100.4	100.1	100.2	100.1
97	99.4	99.1	99.6	99.2	99.3	99.1
96	98.6	98.2	98.8	98.3	98.4	98.2
95	97.8	97.4	98	97.4	97.5	97.4
94	97	96.6	97.2	96.6	96.7	96.5
93	96.3	95.9	96.5	95.7	95.8	95.7
92	95.5	95.1	95.8	94.9	94.9	94.8
91	94.8	94.4	95.1	94	94.1	94
90	94.1	93.6	94.4	93.2	93.3	93.2
89	93.4	92.9	93.8	92.4	92.5	92.4
88	92.8	92.2	93.1	91.6	91.6	91.6
87	92.1	91.6	92.5	90.9	90.9	90.9
86	91.5	90.9	91.9	90.1	90.1	90.1
85	90.9	90.3	91.3	89.3	89.3	89.4
84	90.3	89.6	90.8	88.6	88.5	88.7
83	89.7	89	90.2	87.9	87.8	88
82	89.2	88.5	89.7	87.2	87.1	87.3
81	88.6	87.9	89.2	86.5	86.4	86.7
80	88.1	87.4	88.7	85.9	85.7	86
79	87.6	86.8	88.3	85.2	85	85.4
78	87.1	86.3	87.8	84.6	84.3	84.8
77	86.7	85.8	87.4	84	83.7	84.3
76	86.2	85.4	87	83.4	83.1	83.7
75	85.8	84.9	86.6	82.9	82.5	83.2
74	85.4	84.5	86.2	82.3	81.9	82.7
73	85	84	85.9	81.8	81.3	82.2
72	84.6	83.6	85.5	81.3	80.8	81.7
71	84.2	83.2	85.2	80.8	80.3	81.3
70	83.9	82.9	84.9	80.3	79.8	80.8
69	83.6	82.5	84.6	79.9	79.3	80.4
68	83.3	82.2	84.3	79.5	78.8	80
67	83	81.9	84	79.1	78.4	79.7
66	82.7	81.6	83.8	78.7	77.9	79.3
65	82.4	81.3	83.5	78.3	77.5	79
64	82.2	81.1	83.3	77.9	77.1	78.6
63	81.9	80.8	83.1	77.6	76.7	78.3
62	81.6	80.5	82.9	77.2	76.4	78
61	81.4	80.2	82.7	76.9	76	77.7
60	81.2	79.9	82.5	76.6	75.6	77.4
59	80.9	79.6	82.3	76.3	75.3	77.2
58	80.7	79.4	82.2	76	75	76.9
57	80.5	79.1	82	75.7	74.7	76.7
56	80.3	78.9	81.8	75.4	74.4	76.4
55	80.1	78.7	81.7	75.1	74.1	76.2
54	80	78.5	81.5	74.9	73.8	75.9
53	79.8	78.3	81.4	74.6	73.5	75.7
52	79.7	78.1	81.3	74.4	73.2	75.5
51	79.5	78	81.1	74.1	73	75.3
50	79.4	77.8	81	73.9	72.7	75.1
49	79.2	77.7	80.9	73.7	72.5	74.9
48	79.1	77.6	80.8	73.5	72.2	74.7
47	79	77.4	80.7	73.3	72	74.5
46	78.9	77.3	80.6	73.1	71.8	74.3
45	78.8	77.3	80.5	72.9	71.6	74.1
44	78.8	77.2	80.5	72.7	71.4	74
43	78.7	77.1	80.4	72.5	71.2	73.8
42	78.6	77	80.3	72.3	71	73.7
41	78.5	77	80.2	72.2	70.9	73.5
40	78.5	76.9	80.2	72	70.7	73.3
39	78.4	76.8	80.1	71.9	70.5	73.2
38	78.4	76.8	80.1	71.7	70.4	73.1
37	78.3	76.7	80	71.6	70.2	72.9
36	78.3	76.7	80	71.4	70.1	72.8
35	78.2	76.6	79.9	71.3	69.9	72.7
34	78.2	76.6	79.9	71.2	69.8	72.5
33	78.1	76.5	79.8	71	69.6	72.4
32	78.1	76.5	79.8	70.9	69.5	72.3
31	78	76.4	79.8	70.8	69.4	72.2
30	78	76.4	79.7	70.7	69.3	72.1
29	77.9	76.3	79.7	70.6	69.1	72
28	77.9	76.3	79.6	70.5	69	71.9
27	77.8	76.2	79.6	70.3	68.9	71.8
26	77.8	76.2	79.6	70.2	68.8	71.7
25	77.8	76.1	79.5	70.1	68.7	71.6
24	77.7	76.1	79.5	70.1	68.6	71.5
23	77.7	76	79.4	70	68.5	71.5
22	77.6	76	79.4	69.9	68.4	71.4
21	77.6	75.9	79.3	69.8	68.3	71.3
20	77.5	75.9	79.3	69.7	68.2	71.2
19	77.5	75.8	79.2	69.6	68.1	71.2
18	77.4	75.8	79.2	69.6	68	71.1
17	77.4	75.7	79.1	69.5	68	71.1
16	77.3	75.7	79.1	69.4	67.9	71
15	77.3	75.6	79	69.4	67.8	71
14	77.2	75.6	79	69.3	67.8	70.9
13	77.2	75.6	78.9	69.3	67.8	70.9
12	77.2	75.5	78.9	69.3	67.7	70.8
11	77.1	75.5	78.9	69.2	67.7	70.8
10	77.1	75.5	78.9	69.2	67.6	70.8
9	77.1	75.5	78.8	69.2	67.6	70.7
8	77.1	75.4	78.8	69.1	67.5	70.7
7	77	75.4	78.8	69.1	67.5	70.6
6	77	75.3	78.7	69	67.4	70.6
5	76.9	75.3	78.6	68.9	67.4	70.5
4	76.9	75.2	78.6	68.8	67.3	70.4
3	76.8	75.2	78.5	68.7	67.2	70.3
2	76.8	75.2	78.5	68.5	67	70.1
1	76.6	75	78.3	68.2	66.7	69.8
0	75.5	73.8	77.2	66.4	64.7	68.2

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 70.7 in the Congo, rising to 82.4 and 78.3 at 65, and to 88.1 and 85.9 at 80 — higher than the 75.5 and 66.4 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Congo

Male

Female

1x

Age	Survival probability
	Bangladesh			Congo
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.12%	0.11%	0.13%
99	1.37%	0.63%	2.15%	0.19%	0.17%	0.22%
98	2.06%	1.05%	3.16%	0.3%	0.26%	0.35%
97	2.99%	1.63%	4.44%	0.46%	0.39%	0.54%
96	4.16%	2.43%	6.03%	0.69%	0.57%	0.82%
95	5.6%	3.46%	7.92%	1.01%	0.81%	1.2%
94	7.32%	4.75%	10.1%	1.43%	1.14%	1.72%
93	9.32%	6.3%	12.6%	1.98%	1.57%	2.4%
92	11.6%	8.13%	15.3%	2.68%	2.12%	3.27%
91	14.1%	10.2%	18.3%	3.55%	2.8%	4.34%
90	16.8%	12.6%	21.4%	4.63%	3.64%	5.65%
89	19.8%	15.2%	24.7%	5.9%	4.65%	7.2%
88	22.9%	18%	28.1%	7.39%	5.84%	9%
87	26.1%	21%	31.6%	9.11%	7.23%	11.1%
86	29.4%	24.1%	35%	11%	8.81%	13.3%
85	32.7%	27.4%	38.5%	13.2%	10.6%	15.9%
84	36.1%	30.7%	41.9%	15.5%	12.6%	18.6%
83	39.4%	34%	45.2%	18.1%	14.8%	21.5%
82	42.7%	37.3%	48.5%	20.7%	17.1%	24.5%
81	45.9%	40.5%	51.7%	23.5%	19.6%	27.5%
80	49%	43.7%	54.7%	26.4%	22.2%	30.7%
79	52%	46.8%	57.6%	29.3%	24.9%	33.8%
78	54.9%	49.9%	60.3%	32.3%	27.7%	37%
77	57.7%	52.9%	62.9%	35.3%	30.5%	40.1%
76	60.4%	55.7%	65.3%	38.2%	33.4%	43.2%
75	62.9%	58.5%	67.6%	41.2%	36.3%	46.2%
74	65.2%	61.1%	69.8%	44%	39.1%	49%
73	67.5%	63.5%	71.8%	46.8%	41.9%	51.8%
72	69.6%	65.8%	73.6%	49.5%	44.7%	54.4%
71	71.5%	68%	75.4%	52.1%	47.3%	56.9%
70	73.4%	69.9%	77%	54.5%	49.9%	59.3%
69	75.1%	71.8%	78.6%	56.9%	52.4%	61.5%
68	76.6%	73.4%	80%	59.1%	54.8%	63.5%
67	78.1%	75%	81.4%	61.2%	57%	65.5%
66	79.5%	76.4%	82.6%	63.2%	59.1%	67.3%
65	80.7%	77.8%	83.8%	65.1%	61.2%	69%
64	81.9%	79.2%	84.8%	66.9%	63.1%	70.6%
63	83.1%	80.5%	85.8%	68.5%	65%	72.1%
62	84.2%	81.8%	86.6%	70.1%	66.8%	73.6%
61	85.2%	83%	87.4%	71.6%	68.4%	74.9%
60	86.2%	84.2%	88.1%	73.1%	70%	76.1%
59	87.1%	85.4%	88.8%	74.4%	71.5%	77.3%
58	87.9%	86.4%	89.4%	75.6%	72.9%	78.4%
57	88.7%	87.4%	90%	76.8%	74.3%	79.4%
56	89.4%	88.3%	90.5%	77.9%	75.5%	80.4%
55	90.1%	89.1%	91%	79%	76.7%	81.3%
54	90.7%	89.8%	91.5%	80%	77.9%	82.2%
53	91.3%	90.5%	92%	81%	79%	83%
52	91.8%	91.1%	92.4%	81.9%	80%	83.8%
51	92.3%	91.7%	92.8%	82.8%	81%	84.6%
50	92.7%	92.2%	93.2%	83.6%	81.9%	85.3%
49	93.1%	92.6%	93.5%	84.3%	82.8%	86%
48	93.4%	93%	93.8%	85.1%	83.6%	86.6%
47	93.8%	93.4%	94.1%	85.7%	84.3%	87.2%
46	94%	93.7%	94.3%	86.4%	85%	87.8%
45	94.3%	94%	94.5%	87%	85.7%	88.3%
44	94.5%	94.2%	94.7%	87.6%	86.3%	88.8%
43	94.7%	94.4%	94.9%	88.1%	86.9%	89.3%
42	94.9%	94.6%	95.1%	88.6%	87.5%	89.7%
41	95.1%	94.8%	95.3%	89.1%	88%	90.2%
40	95.2%	95%	95.5%	89.5%	88.5%	90.6%
39	95.4%	95.1%	95.6%	90%	89%	91%
38	95.5%	95.3%	95.7%	90.4%	89.5%	91.4%
37	95.6%	95.4%	95.8%	90.8%	89.9%	91.7%
36	95.7%	95.5%	95.9%	91.1%	90.3%	92%
35	95.9%	95.6%	96%	91.5%	90.6%	92.4%
34	96%	95.8%	96.1%	91.8%	91%	92.6%
33	96.1%	95.9%	96.2%	92.1%	91.3%	92.9%
32	96.2%	96%	96.3%	92.4%	91.7%	93.2%
31	96.3%	96.1%	96.4%	92.7%	92%	93.4%
30	96.3%	96.2%	96.5%	93%	92.2%	93.7%
29	96.4%	96.3%	96.5%	93.2%	92.5%	93.9%
28	96.5%	96.4%	96.6%	93.4%	92.8%	94.1%
27	96.6%	96.5%	96.7%	93.7%	93%	94.3%
26	96.7%	96.6%	96.8%	93.9%	93.3%	94.5%
25	96.7%	96.7%	96.8%	94.1%	93.5%	94.7%
24	96.8%	96.7%	96.9%	94.3%	93.7%	94.9%
23	96.9%	96.8%	97%	94.5%	94%	95%
22	97%	96.9%	97%	94.7%	94.2%	95.2%
21	97%	97%	97.1%	94.8%	94.4%	95.3%
20	97.1%	97.1%	97.2%	95%	94.5%	95.4%
19	97.2%	97.2%	97.3%	95.1%	94.7%	95.6%
18	97.3%	97.3%	97.4%	95.3%	94.9%	95.7%
17	97.4%	97.4%	97.5%	95.4%	95%	95.8%
16	97.5%	97.4%	97.6%	95.5%	95.1%	95.9%
15	97.6%	97.5%	97.6%	95.6%	95.2%	95.9%
14	97.6%	97.6%	97.7%	95.7%	95.3%	96%
13	97.7%	97.6%	97.8%	95.7%	95.4%	96.1%
12	97.7%	97.7%	97.8%	95.8%	95.4%	96.1%
11	97.8%	97.7%	97.8%	95.8%	95.5%	96.2%
10	97.8%	97.8%	97.9%	95.9%	95.6%	96.2%
9	97.9%	97.8%	97.9%	96%	95.6%	96.3%
8	97.9%	97.8%	98%	96%	95.7%	96.4%
7	98%	97.9%	98%	96.1%	95.8%	96.4%
6	98%	97.9%	98.1%	96.2%	95.9%	96.5%
5	98.1%	98%	98.2%	96.3%	96%	96.6%
4	98.2%	98.1%	98.3%	96.4%	96.1%	96.8%
3	98.2%	98.1%	98.3%	96.6%	96.3%	96.9%
2	98.3%	98.2%	98.4%	96.9%	96.6%	97.2%
1	98.5%	98.4%	98.6%	97.3%	97%	97.7%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 73.1% in the Congo are expected to live past 60, 73.4% and 54.5% past 70, 49% and 26.4% past 80, and only 16.8% and 4.63% 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

Congo

Male

Female

1x

Age	Probability of dying
	Bangladesh			Congo
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	39.6%	37.4%	41.1%
99	36.9%	43.4%	35%	38%	36.1%	39.4%
98	33.8%	39.5%	31.9%	36.2%	34.3%	37.4%
97	30.9%	36%	29%	34.6%	33.1%	35.6%
96	28.2%	32.7%	26.3%	33%	31.7%	33.8%
95	25.7%	29.8%	23.8%	31.3%	30.3%	32%
94	23.5%	27.1%	21.6%	29.6%	28.8%	30.1%
93	21.4%	24.7%	19.6%	27.9%	27.3%	28.2%
92	19.5%	22.5%	17.9%	26.2%	25.8%	26.5%
91	17.8%	20.5%	16.2%	24.5%	24.3%	24.7%
90	16.3%	18.7%	14.7%	23.2%	23.1%	23.2%
89	14.8%	17.1%	13.3%	21.6%	21.6%	21.5%
88	13.5%	15.6%	12.1%	20.2%	20.4%	20%
87	12.3%	14.3%	10.9%	18.8%	19.2%	18.6%
86	11.2%	13%	9.89%	17.6%	18%	17.2%
85	10.2%	11.9%	8.97%	16.3%	16.9%	15.9%
84	9.3%	10.8%	8.14%	15.1%	15.8%	14.6%
83	8.45%	9.74%	7.4%	13.9%	14.7%	13.4%
82	7.68%	8.82%	6.72%	12.9%	13.7%	12.3%
81	6.98%	8.01%	6.1%	11.8%	12.6%	11.2%
80	6.36%	7.29%	5.53%	11%	11.8%	10.3%
79	5.8%	6.68%	5.02%	9.99%	10.9%	9.34%
78	5.29%	6.12%	4.54%	9.21%	10.1%	8.55%
77	4.82%	5.61%	4.11%	8.41%	9.26%	7.75%
76	4.39%	5.14%	3.73%	7.74%	8.57%	7.08%
75	3.99%	4.69%	3.37%	7.11%	7.91%	6.46%
74	3.64%	4.27%	3.06%	6.5%	7.28%	5.86%
73	3.32%	3.87%	2.78%	5.94%	6.7%	5.32%
72	3.02%	3.49%	2.54%	5.43%	6.16%	4.84%
71	2.74%	3.15%	2.32%	4.91%	5.6%	4.34%
70	2.49%	2.82%	2.13%	4.54%	5.18%	3.99%
69	2.26%	2.53%	1.96%	4.1%	4.7%	3.58%
68	2.05%	2.28%	1.81%	3.76%	4.32%	3.27%
67	1.87%	2.07%	1.66%	3.44%	3.95%	2.97%
66	1.72%	1.9%	1.52%	3.14%	3.62%	2.7%
65	1.58%	1.78%	1.38%	2.9%	3.34%	2.49%
64	1.47%	1.69%	1.24%	2.67%	3.09%	2.28%
63	1.38%	1.63%	1.11%	2.46%	2.86%	2.09%
62	1.29%	1.57%	0.99%	2.28%	2.65%	1.93%
61	1.21%	1.51%	0.89%	2.08%	2.43%	1.76%
60	1.12%	1.43%	0.81%	1.95%	2.28%	1.65%
59	1.04%	1.33%	0.74%	1.78%	2.08%	1.5%
58	0.96%	1.23%	0.69%	1.66%	1.93%	1.4%
57	0.88%	1.12%	0.64%	1.54%	1.79%	1.3%
56	0.8%	1.01%	0.6%	1.44%	1.68%	1.22%
55	0.74%	0.91%	0.57%	1.35%	1.57%	1.14%
54	0.68%	0.83%	0.54%	1.27%	1.47%	1.07%
53	0.62%	0.75%	0.5%	1.19%	1.37%	1.01%
52	0.57%	0.68%	0.47%	1.12%	1.29%	0.95%
51	0.52%	0.61%	0.44%	1.04%	1.19%	0.88%
50	0.47%	0.55%	0.4%	0.98%	1.12%	0.84%
49	0.42%	0.48%	0.36%	0.91%	1.04%	0.78%
48	0.37%	0.43%	0.32%	0.85%	0.97%	0.73%
47	0.33%	0.37%	0.28%	0.79%	0.9%	0.68%
46	0.29%	0.33%	0.25%	0.74%	0.84%	0.64%
45	0.26%	0.29%	0.23%	0.7%	0.79%	0.61%
44	0.23%	0.26%	0.21%	0.65%	0.73%	0.57%
43	0.22%	0.23%	0.2%	0.61%	0.69%	0.54%
42	0.2%	0.21%	0.19%	0.58%	0.65%	0.51%
41	0.19%	0.19%	0.18%	0.54%	0.6%	0.48%
40	0.17%	0.18%	0.17%	0.52%	0.57%	0.46%
39	0.16%	0.16%	0.15%	0.48%	0.53%	0.43%
38	0.14%	0.15%	0.14%	0.45%	0.5%	0.41%
37	0.13%	0.14%	0.12%	0.43%	0.47%	0.38%
36	0.12%	0.13%	0.11%	0.4%	0.44%	0.36%
35	0.11%	0.13%	0.1%	0.38%	0.42%	0.34%
34	0.11%	0.12%	0.09%	0.36%	0.39%	0.32%
33	0.1%	0.12%	0.09%	0.33%	0.37%	0.3%
32	0.1%	0.12%	0.09%	0.32%	0.35%	0.29%
31	0.1%	0.12%	0.09%	0.3%	0.33%	0.27%
30	0.1%	0.11%	0.09%	0.28%	0.31%	0.26%
29	0.09%	0.11%	0.08%	0.27%	0.3%	0.24%
28	0.09%	0.1%	0.08%	0.26%	0.28%	0.23%
27	0.08%	0.09%	0.07%	0.24%	0.27%	0.21%
26	0.08%	0.08%	0.07%	0.23%	0.26%	0.2%
25	0.07%	0.08%	0.07%	0.22%	0.25%	0.19%
24	0.07%	0.08%	0.07%	0.21%	0.24%	0.18%
23	0.08%	0.08%	0.07%	0.2%	0.23%	0.17%
22	0.08%	0.08%	0.07%	0.19%	0.22%	0.16%
21	0.08%	0.09%	0.08%	0.18%	0.21%	0.15%
20	0.09%	0.09%	0.09%	0.17%	0.19%	0.14%
19	0.09%	0.1%	0.09%	0.15%	0.18%	0.13%
18	0.1%	0.1%	0.09%	0.14%	0.16%	0.12%
17	0.09%	0.09%	0.09%	0.12%	0.14%	0.1%
16	0.09%	0.09%	0.09%	0.11%	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%	0.07%
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%	0.07%
6	0.07%	0.07%	0.07%	0.09%	0.1%	0.09%
5	0.08%	0.07%	0.08%	0.11%	0.11%	0.1%
4	0.07%	0.07%	0.08%	0.14%	0.15%	0.14%
3	0.06%	0.06%	0.07%	0.19%	0.2%	0.19%
2	0.07%	0.07%	0.07%	0.28%	0.28%	0.28%
1	0.18%	0.18%	0.17%	0.44%	0.44%	0.45%
0	1.53%	1.61%	1.44%	2.67%	2.99%	2.35%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 2.67% in the Congo, 0.1% vs 0.28% at age 30, 1.12% vs 1.95% at 60, and 6.36% vs 11% at 80.

Death rate by age in Bangladesh vs Congo

Chart Table

Bangladesh

Male

Female

Congo

Male

Female

1x

Age	Death rate
	Bangladesh			Congo
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	0	2.72	0
99	504	274.2	753	73.5	61.5	86.1
98	698	414	1,006	109.4	89.1	130.4
97	924	588	1,288	160.2	128.3	193.1
96	1,175	796	1,587	227.9	180.2	277
95	1,440	1,030	1,887	315	246.7	385
94	1,718	1,287	2,186	422	329	518
93	1,995	1,557	2,471	552	429	678
92	2,264	1,828	2,735	704	547	865
91	2,514	2,095	2,969	872	679	1,070
90	2,738	2,353	3,155	1,072	841	1,311
89	2,932	2,596	3,297	1,273	1,006	1,549
88	3,093	2,815	3,394	1,492	1,193	1,802
87	3,217	3,003	3,447	1,715	1,387	2,053
86	3,301	3,148	3,465	1,939	1,590	2,297
85	3,347	3,247	3,451	2,150	1,791	2,515
84	3,355	3,299	3,412	2,351	1,991	2,715
83	3,331	3,310	3,348	2,519	2,170	2,871
82	3,279	3,289	3,261	2,671	2,343	3,001
81	3,205	3,246	3,153	2,773	2,477	3,069
80	3,114	3,189	3,027	2,898	2,633	3,165
79	3,015	3,128	2,889	2,932	2,706	3,161
78	2,903	3,054	2,742	2,977	2,793	3,163
77	2,781	2,966	2,589	2,969	2,829	3,109
76	2,649	2,862	2,434	2,960	2,862	3,058
75	2,510	2,740	2,281	2,926	2,871	2,980
74	2,374	2,605	2,137	2,861	2,849	2,875
73	2,238	2,458	1,998	2,778	2,808	2,754
72	2,099	2,301	1,868	2,690	2,752	2,634
71	1,961	2,138	1,748	2,558	2,649	2,472
70	1,826	1,974	1,638	2,476	2,586	2,367
69	1,697	1,817	1,540	2,334	2,463	2,201
68	1,574	1,674	1,445	2,223	2,365	2,075
67	1,463	1,551	1,351	2,103	2,254	1,942
66	1,364	1,452	1,255	1,986	2,143	1,819
65	1,278	1,382	1,154	1,886	2,046	1,717
64	1,206	1,339	1,052	1,784	1,953	1,609
63	1,143	1,310	953	1,689	1,862	1,510
62	1,085	1,285	861	1,598	1,773	1,420
61	1,028	1,253	781	1,493	1,666	1,319
60	968	1,203	714	1,426	1,596	1,254
59	906	1,138	659	1,327	1,491	1,163
58	841	1,059	615	1,255	1,411	1,098
57	778	975	577	1,182	1,332	1,032
56	718	892	545	1,123	1,266	980
55	664	814	516	1,067	1,204	927
54	615	743	490	1,014	1,144	881
53	570	679	464	962	1,084	836
52	526	618	437	915	1,030	797
51	482	560	406	857	966	747
50	437	503	371	820	921	716
49	391	448	334	765	859	669
48	347	396	296.7	721	807	631
47	307	349	263.5	676	757	593
46	272.6	308	235.8	638	712	561
45	244	272.8	214.7	605	673	534
44	221.8	243.8	200.3	569	631	505
43	204.5	219.6	190.2	539	596	481
42	190.1	199.2	181.9	513	565	459
41	177.1	181.7	173	482	529	434
40	164	166.5	161.7	461	506	416
39	149.7	153.1	146.8	434	474	393
38	135.6	141.5	130.4	411	448	373
37	123.1	132.1	115.1	387	422	352
36	112.9	124.8	102.4	367	399	334
35	105.6	119.7	93.2	347	377	316
34	101.3	116.7	87.9	326	355	296.8
33	99.2	115.2	85.6	308	336	280.5
32	98.3	114.1	85	292.4	319	265.8
31	97.4	112.5	84.9	275.1	301	249.1
30	95.3	109.1	84	264.4	288.9	239.4
29	90.9	103.1	81.1	250.5	274.3	226.3
28	85.2	95.6	76.8	238.5	262.8	213.9
27	79.3	88.1	72.3	227.6	252.1	202.6
26	74.5	81.9	68.5	216.8	242.3	190.8
25	71.7	78	66.4	206.9	234.1	179.3
24	71	76.7	66.2	197.6	225.7	169
23	73	78.2	68.4	188.3	217.3	158.7
22	76.9	81.7	72.4	178.5	207.8	148.7
21	81.9	86.3	77.8	168	196.6	138.8
20	87.2	90.9	83.5	158	184.2	131.3
19	91.1	93.9	88.3	146.1	170.3	121.4
18	92.8	94.5	91	133.5	155.1	111.4
17	91.4	92	90.8	117.2	133.7	100.4
16	86.6	86.2	87	101.9	113.8	89.7
15	78	77	79	88	96.3	79.6
14	66.5	65.4	67.8	76.3	82.8	69.7
13	54.3	53.3	55.5	68.1	73.3	62.8
12	44.1	43.2	45.1	63	68	58
11	37.7	36.8	38.7	60.8	65.6	55.9
10	34.4	33.5	35.3	61	65.2	56.6
9	36.2	35	37.5	63.5	67.8	59.1
8	44.9	42.8	47	68.7	73.3	64
7	56.8	53.6	60.1	76.9	81.7	72
6	67.8	63.8	72.1	87.5	91.9	82.9
5	74.1	69.7	78.7	104	107.7	100.1
4	71.7	67.9	75.7	135.6	139.5	131.7
3	61.4	58.9	63.9	186.3	189.4	183.1
2	70.1	68.9	71.4	269.7	269.8	269.5
1	172.9	175.4	170.2	433	425	441
0	1,530	1,613	1,443	2,669	2,985	2,347

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 78 in the Congo. The median age of death is 79.7 in Bangladesh and 71.8 in the Congo, 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 the Congo more than their death rates.

Life expectancy in other countries

+ -

1x