Life Expectancy in Bangladesh vs Eswatini (1950-2026)

Life expectancy by current age

Chart Table

Bangladesh

Male

Female

Eswatini

Male

Female

1x

Current age, years	Total life expectancy, years
	Bangladesh			Eswatini
	Average	Male	Female	Average	Male	Female
100	102.2	101.9	102.3	102	101.9	102.1
99	101.2	100.9	101.3	101.1	101.1	101.2
98	100.3	99.9	100.4	100.3	100.2	100.3
97	99.4	99.1	99.6	99.4	99.3	99.4
96	98.6	98.2	98.8	98.5	98.5	98.6
95	97.8	97.4	98	97.7	97.6	97.7
94	97	96.6	97.2	96.8	96.8	96.9
93	96.3	95.9	96.5	96	95.9	96.1
92	95.5	95.1	95.8	95.2	95.1	95.3
91	94.8	94.4	95.1	94.4	94.3	94.5
90	94.1	93.6	94.4	93.6	93.5	93.7
89	93.4	92.9	93.8	92.9	92.7	93
88	92.8	92.2	93.1	92.1	92	92.2
87	92.1	91.6	92.5	91.4	91.2	91.5
86	91.5	90.9	91.9	90.7	90.5	90.8
85	90.9	90.3	91.3	90	89.8	90.2
84	90.3	89.6	90.8	89.4	89.1	89.5
83	89.7	89	90.2	88.7	88.4	88.9
82	89.2	88.5	89.7	88.1	87.8	88.3
81	88.6	87.9	89.2	87.5	87.2	87.7
80	88.1	87.4	88.7	86.9	86.6	87.2
79	87.6	86.8	88.3	86.4	86	86.6
78	87.1	86.3	87.8	85.8	85.4	86.1
77	86.7	85.8	87.4	85.3	84.8	85.6
76	86.2	85.4	87	84.7	84.2	85.1
75	85.8	84.9	86.6	84.2	83.6	84.6
74	85.4	84.5	86.2	83.7	83	84.1
73	85	84	85.9	83.1	82.5	83.6
72	84.6	83.6	85.5	82.6	81.9	83.1
71	84.2	83.2	85.2	82.1	81.4	82.7
70	83.9	82.9	84.9	81.6	80.8	82.2
69	83.6	82.5	84.6	81.1	80.3	81.8
68	83.3	82.2	84.3	80.7	79.7	81.3
67	83	81.9	84	80.2	79.2	80.9
66	82.7	81.6	83.8	79.7	78.7	80.5
65	82.4	81.3	83.5	79.3	78.1	80.1
64	82.2	81.1	83.3	78.8	77.6	79.7
63	81.9	80.8	83.1	78.4	77.1	79.4
62	81.6	80.5	82.9	78	76.7	79
61	81.4	80.2	82.7	77.6	76.2	78.7
60	81.2	79.9	82.5	77.2	75.8	78.3
59	80.9	79.6	82.3	76.9	75.3	78
58	80.7	79.4	82.2	76.5	74.9	77.7
57	80.5	79.1	82	76.2	74.5	77.4
56	80.3	78.9	81.8	75.8	74.1	77.2
55	80.1	78.7	81.7	75.5	73.8	76.9
54	80	78.5	81.5	75.2	73.4	76.6
53	79.8	78.3	81.4	74.9	73	76.4
52	79.7	78.1	81.3	74.6	72.7	76.1
51	79.5	78	81.1	74.3	72.3	75.9
50	79.4	77.8	81	74	72	75.7
49	79.2	77.7	80.9	73.7	71.7	75.4
48	79.1	77.6	80.8	73.5	71.4	75.2
47	79	77.4	80.7	73.2	71.1	75
46	78.9	77.3	80.6	72.9	70.8	74.8
45	78.8	77.3	80.5	72.7	70.5	74.6
44	78.8	77.2	80.5	72.5	70.2	74.4
43	78.7	77.1	80.4	72.2	70	74.2
42	78.6	77	80.3	72	69.7	74.1
41	78.5	77	80.2	71.8	69.4	73.9
40	78.5	76.9	80.2	71.6	69.2	73.7
39	78.4	76.8	80.1	71.4	69	73.5
38	78.4	76.8	80.1	71.2	68.7	73.4
37	78.3	76.7	80	71	68.5	73.2
36	78.3	76.7	80	70.8	68.3	73.1
35	78.2	76.6	79.9	70.6	68.1	72.9
34	78.2	76.6	79.9	70.4	67.9	72.8
33	78.1	76.5	79.8	70.3	67.7	72.7
32	78.1	76.5	79.8	70.1	67.5	72.5
31	78	76.4	79.8	70	67.4	72.4
30	78	76.4	79.7	69.8	67.2	72.3
29	77.9	76.3	79.7	69.7	67	72.2
28	77.9	76.3	79.6	69.5	66.9	72.1
27	77.8	76.2	79.6	69.4	66.7	71.9
26	77.8	76.2	79.6	69.3	66.6	71.8
25	77.8	76.1	79.5	69.2	66.4	71.7
24	77.7	76.1	79.5	69	66.3	71.6
23	77.7	76	79.4	68.9	66.2	71.6
22	77.6	76	79.4	68.8	66	71.5
21	77.6	75.9	79.3	68.7	65.9	71.4
20	77.5	75.9	79.3	68.6	65.8	71.3
19	77.5	75.8	79.2	68.5	65.7	71.2
18	77.4	75.8	79.2	68.4	65.6	71.2
17	77.4	75.7	79.1	68.4	65.5	71.1
16	77.3	75.7	79.1	68.3	65.4	71
15	77.3	75.6	79	68.2	65.4	71
14	77.2	75.6	79	68.2	65.3	70.9
13	77.2	75.6	78.9	68.1	65.3	70.9
12	77.2	75.5	78.9	68.1	65.2	70.8
11	77.1	75.5	78.9	68.1	65.2	70.8
10	77.1	75.5	78.9	68	65.2	70.8
9	77.1	75.5	78.8	68	65.1	70.7
8	77.1	75.4	78.8	67.9	65.1	70.7
7	77	75.4	78.8	67.9	65	70.6
6	77	75.3	78.7	67.8	64.9	70.5
5	76.9	75.3	78.6	67.7	64.9	70.5
4	76.9	75.2	78.6	67.6	64.8	70.4
3	76.8	75.2	78.5	67.5	64.6	70.2
2	76.8	75.2	78.5	67.3	64.4	70
1	76.6	75	78.3	67	64.1	69.7
0	75.5	73.8	77.2	64.5	61.6	67.4

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 69.8 in Eswatini, rising to 82.4 and 79.3 at 65, and to 88.1 and 86.9 at 80 — higher than the 75.5 and 64.5 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bangladesh

Male

Female

Eswatini

Male

Female

1x

Age	Survival probability
	Bangladesh			Eswatini
	Average	Male	Female	Average	Male	Female
100	0.86%	0.36%	1.4%	0.28%	0.17%	0.38%
99	1.37%	0.63%	2.15%	0.43%	0.26%	0.58%
98	2.06%	1.05%	3.16%	0.64%	0.4%	0.87%
97	2.99%	1.63%	4.44%	0.94%	0.59%	1.27%
96	4.16%	2.43%	6.03%	1.34%	0.85%	1.8%
95	5.6%	3.46%	7.92%	1.86%	1.2%	2.49%
94	7.32%	4.75%	10.1%	2.53%	1.65%	3.36%
93	9.32%	6.3%	12.6%	3.35%	2.22%	4.42%
92	11.6%	8.13%	15.3%	4.35%	2.92%	5.7%
91	14.1%	10.2%	18.3%	5.52%	3.76%	7.18%
90	16.8%	12.6%	21.4%	6.89%	4.75%	8.9%
89	19.8%	15.2%	24.7%	8.43%	5.89%	10.8%
88	22.9%	18%	28.1%	10.2%	7.17%	12.9%
87	26.1%	21%	31.6%	12%	8.6%	15.2%
86	29.4%	24.1%	35%	14.1%	10.2%	17.6%
85	32.7%	27.4%	38.5%	16.2%	11.8%	20.2%
84	36.1%	30.7%	41.9%	18.4%	13.6%	22.8%
83	39.4%	34%	45.2%	20.6%	15.4%	25.4%
82	42.7%	37.3%	48.5%	22.9%	17.3%	28%
81	45.9%	40.5%	51.7%	25.1%	19.2%	30.6%
80	49%	43.7%	54.7%	27.4%	21.2%	33.1%
79	52%	46.8%	57.6%	29.6%	23.1%	35.6%
78	54.9%	49.9%	60.3%	31.8%	25.1%	38.1%
77	57.7%	52.9%	62.9%	34.1%	27.2%	40.6%
76	60.4%	55.7%	65.3%	36.3%	29.2%	43%
75	62.9%	58.5%	67.6%	38.6%	31.3%	45.4%
74	65.2%	61.1%	69.8%	40.8%	33.4%	47.7%
73	67.5%	63.5%	71.8%	43%	35.5%	50%
72	69.6%	65.8%	73.6%	45.2%	37.7%	52.3%
71	71.5%	68%	75.4%	47.4%	39.8%	54.4%
70	73.4%	69.9%	77%	49.5%	41.9%	56.5%
69	75.1%	71.8%	78.6%	51.5%	44%	58.5%
68	76.6%	73.4%	80%	53.5%	46.1%	60.5%
67	78.1%	75%	81.4%	55.5%	48.2%	62.4%
66	79.5%	76.4%	82.6%	57.4%	50.3%	64.2%
65	80.7%	77.8%	83.8%	59.4%	52.4%	66%
64	81.9%	79.2%	84.8%	61.2%	54.4%	67.6%
63	83.1%	80.5%	85.8%	62.9%	56.4%	69.2%
62	84.2%	81.8%	86.6%	64.6%	58.3%	70.7%
61	85.2%	83%	87.4%	66.1%	60.1%	72.1%
60	86.2%	84.2%	88.1%	67.6%	61.8%	73.4%
59	87.1%	85.4%	88.8%	69.1%	63.5%	74.6%
58	87.9%	86.4%	89.4%	70.4%	65.1%	75.8%
57	88.7%	87.4%	90%	71.7%	66.6%	76.8%
56	89.4%	88.3%	90.5%	72.9%	68.1%	77.9%
55	90.1%	89.1%	91%	74.1%	69.5%	78.9%
54	90.7%	89.8%	91.5%	75.3%	70.9%	79.8%
53	91.3%	90.5%	92%	76.4%	72.2%	80.7%
52	91.8%	91.1%	92.4%	77.4%	73.4%	81.5%
51	92.3%	91.7%	92.8%	78.4%	74.6%	82.3%
50	92.7%	92.2%	93.2%	79.4%	75.8%	83.1%
49	93.1%	92.6%	93.5%	80.3%	76.9%	83.8%
48	93.4%	93%	93.8%	81.2%	77.9%	84.5%
47	93.8%	93.4%	94.1%	82%	78.9%	85.1%
46	94%	93.7%	94.3%	82.8%	79.9%	85.8%
45	94.3%	94%	94.5%	83.5%	80.8%	86.3%
44	94.5%	94.2%	94.7%	84.2%	81.7%	86.9%
43	94.7%	94.4%	94.9%	84.9%	82.5%	87.4%
42	94.9%	94.6%	95.1%	85.6%	83.3%	87.9%
41	95.1%	94.8%	95.3%	86.2%	84%	88.4%
40	95.2%	95%	95.5%	86.8%	84.7%	88.8%
39	95.4%	95.1%	95.6%	87.3%	85.4%	89.3%
38	95.5%	95.3%	95.7%	87.8%	86%	89.7%
37	95.6%	95.4%	95.8%	88.3%	86.7%	90.1%
36	95.7%	95.5%	95.9%	88.8%	87.2%	90.4%
35	95.9%	95.6%	96%	89.3%	87.8%	90.8%
34	96%	95.8%	96.1%	89.7%	88.3%	91.1%
33	96.1%	95.9%	96.2%	90.1%	88.8%	91.4%
32	96.2%	96%	96.3%	90.5%	89.2%	91.7%
31	96.3%	96.1%	96.4%	90.8%	89.7%	92%
30	96.3%	96.2%	96.5%	91.2%	90.1%	92.3%
29	96.4%	96.3%	96.5%	91.5%	90.5%	92.5%
28	96.5%	96.4%	96.6%	91.8%	90.8%	92.8%
27	96.6%	96.5%	96.7%	92.1%	91.2%	93%
26	96.7%	96.6%	96.8%	92.4%	91.5%	93.2%
25	96.7%	96.7%	96.8%	92.6%	91.8%	93.4%
24	96.8%	96.7%	96.9%	92.9%	92.1%	93.6%
23	96.9%	96.8%	97%	93.1%	92.4%	93.8%
22	97%	96.9%	97%	93.3%	92.7%	93.9%
21	97%	97%	97.1%	93.5%	92.9%	94.1%
20	97.1%	97.1%	97.2%	93.7%	93.2%	94.3%
19	97.2%	97.2%	97.3%	93.9%	93.4%	94.4%
18	97.3%	97.3%	97.4%	94%	93.6%	94.5%
17	97.4%	97.4%	97.5%	94.2%	93.7%	94.6%
16	97.5%	97.4%	97.6%	94.3%	93.9%	94.7%
15	97.6%	97.5%	97.6%	94.4%	94%	94.8%
14	97.6%	97.6%	97.7%	94.5%	94.1%	94.9%
13	97.7%	97.6%	97.8%	94.6%	94.2%	95%
12	97.7%	97.7%	97.8%	94.7%	94.3%	95%
11	97.8%	97.7%	97.8%	94.7%	94.3%	95.1%
10	97.8%	97.8%	97.9%	94.8%	94.4%	95.2%
9	97.9%	97.8%	97.9%	94.9%	94.5%	95.2%
8	97.9%	97.8%	98%	94.9%	94.6%	95.3%
7	98%	97.9%	98%	95%	94.7%	95.4%
6	98%	97.9%	98.1%	95.1%	94.8%	95.5%
5	98.1%	98%	98.2%	95.2%	94.9%	95.6%
4	98.2%	98.1%	98.3%	95.4%	95%	95.8%
3	98.2%	98.1%	98.3%	95.6%	95.3%	96%
2	98.3%	98.2%	98.4%	95.9%	95.6%	96.3%
1	98.5%	98.4%	98.6%	96.4%	96%	96.8%

This chart shows the odds of living to each age from birth. 86.2% of newborns in Bangladesh and 67.6% in Eswatini are expected to live past 60, 73.4% and 49.5% past 70, 49% and 27.4% past 80, and only 16.8% and 6.89% 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

Eswatini

Male

Female

1x

Age	Probability of dying
	Bangladesh			Eswatini
	Average	Male	Female	Average	Male	Female
100	39.5%	46.5%	37.6%	36.9%	37.3%	36.7%
99	36.9%	43.4%	35%	35.3%	35.7%	35.1%
98	33.8%	39.5%	31.9%	33.2%	33.9%	32.9%
97	30.9%	36%	29%	31.6%	32.3%	31.3%
96	28.2%	32.7%	26.3%	29.9%	30.7%	29.6%
95	25.7%	29.8%	23.8%	28.2%	29%	27.8%
94	23.5%	27.1%	21.6%	26.4%	27.4%	25.9%
93	21.4%	24.7%	19.6%	24.6%	25.7%	24.1%
92	19.5%	22.5%	17.9%	23%	24%	22.4%
91	17.8%	20.5%	16.2%	21.2%	22.3%	20.6%
90	16.3%	18.7%	14.7%	19.9%	20.8%	19.3%
89	14.8%	17.1%	13.3%	18.3%	19.3%	17.7%
88	13.5%	15.6%	12.1%	16.9%	17.9%	16.3%
87	12.3%	14.3%	10.9%	15.6%	16.6%	15%
86	11.2%	13%	9.89%	14.4%	15.4%	13.8%
85	10.2%	11.9%	8.97%	13.1%	14.1%	12.6%
84	9.3%	10.8%	8.14%	12%	13%	11.4%
83	8.45%	9.74%	7.4%	10.9%	11.9%	10.3%
82	7.68%	8.82%	6.72%	9.89%	10.9%	9.36%
81	6.98%	8.01%	6.1%	8.87%	9.88%	8.35%
80	6.36%	7.29%	5.53%	8.18%	9.12%	7.67%
79	5.8%	6.68%	5.02%	7.55%	8.49%	7.01%
78	5.29%	6.12%	4.54%	7.09%	7.99%	6.55%
77	4.82%	5.61%	4.11%	6.58%	7.47%	6.04%
76	4.39%	5.14%	3.73%	6.21%	7.06%	5.65%
75	3.99%	4.69%	3.37%	5.84%	6.67%	5.27%
74	3.64%	4.27%	3.06%	5.48%	6.3%	4.9%
73	3.32%	3.87%	2.78%	5.13%	5.95%	4.56%
72	3.02%	3.49%	2.54%	4.83%	5.64%	4.27%
71	2.74%	3.15%	2.32%	4.48%	5.3%	3.93%
70	2.49%	2.82%	2.13%	4.27%	5.07%	3.73%
69	2.26%	2.53%	1.96%	3.99%	4.78%	3.44%
68	2.05%	2.28%	1.81%	3.78%	4.56%	3.23%
67	1.87%	2.07%	1.66%	3.55%	4.35%	3.02%
66	1.72%	1.9%	1.52%	3.36%	4.16%	2.84%
65	1.58%	1.78%	1.38%	3.22%	4%	2.69%
64	1.47%	1.69%	1.24%	2.98%	3.73%	2.47%
63	1.38%	1.63%	1.11%	2.76%	3.48%	2.27%
62	1.29%	1.57%	0.99%	2.56%	3.25%	2.1%
61	1.21%	1.51%	0.89%	2.36%	3.01%	1.92%
60	1.12%	1.43%	0.81%	2.22%	2.83%	1.79%
59	1.04%	1.33%	0.74%	2.06%	2.61%	1.64%
58	0.96%	1.23%	0.69%	1.93%	2.44%	1.53%
57	0.88%	1.12%	0.64%	1.8%	2.29%	1.42%
56	0.8%	1.01%	0.6%	1.7%	2.15%	1.33%
55	0.74%	0.91%	0.57%	1.61%	2.04%	1.25%
54	0.68%	0.83%	0.54%	1.52%	1.92%	1.17%
53	0.62%	0.75%	0.5%	1.43%	1.81%	1.1%
52	0.57%	0.68%	0.47%	1.36%	1.72%	1.04%
51	0.52%	0.61%	0.44%	1.28%	1.61%	0.97%
50	0.47%	0.55%	0.4%	1.22%	1.53%	0.92%
49	0.42%	0.48%	0.36%	1.14%	1.43%	0.86%
48	0.37%	0.43%	0.32%	1.07%	1.35%	0.81%
47	0.33%	0.37%	0.28%	1.01%	1.26%	0.75%
46	0.29%	0.33%	0.25%	0.95%	1.19%	0.71%
45	0.26%	0.29%	0.23%	0.9%	1.12%	0.67%
44	0.23%	0.26%	0.21%	0.84%	1.05%	0.63%
43	0.22%	0.23%	0.2%	0.79%	0.99%	0.6%
42	0.2%	0.21%	0.19%	0.75%	0.94%	0.57%
41	0.19%	0.19%	0.18%	0.71%	0.89%	0.54%
40	0.17%	0.18%	0.17%	0.68%	0.85%	0.51%
39	0.16%	0.16%	0.15%	0.64%	0.79%	0.48%
38	0.14%	0.15%	0.14%	0.6%	0.75%	0.46%
37	0.13%	0.14%	0.12%	0.56%	0.7%	0.43%
36	0.12%	0.13%	0.11%	0.53%	0.66%	0.41%
35	0.11%	0.13%	0.1%	0.5%	0.62%	0.39%
34	0.11%	0.12%	0.09%	0.47%	0.58%	0.36%
33	0.1%	0.12%	0.09%	0.44%	0.55%	0.34%
32	0.1%	0.12%	0.09%	0.42%	0.51%	0.32%
31	0.1%	0.12%	0.09%	0.39%	0.48%	0.3%
30	0.1%	0.11%	0.09%	0.37%	0.46%	0.29%
29	0.09%	0.11%	0.08%	0.35%	0.43%	0.27%
28	0.09%	0.1%	0.08%	0.33%	0.41%	0.26%
27	0.08%	0.09%	0.07%	0.32%	0.39%	0.25%
26	0.08%	0.08%	0.07%	0.3%	0.36%	0.23%
25	0.07%	0.08%	0.07%	0.28%	0.35%	0.22%
24	0.07%	0.08%	0.07%	0.27%	0.33%	0.2%
23	0.08%	0.08%	0.07%	0.25%	0.31%	0.19%
22	0.08%	0.08%	0.07%	0.24%	0.29%	0.18%
21	0.08%	0.09%	0.08%	0.22%	0.27%	0.17%
20	0.09%	0.09%	0.09%	0.2%	0.25%	0.16%
19	0.09%	0.1%	0.09%	0.19%	0.23%	0.15%
18	0.1%	0.1%	0.09%	0.17%	0.21%	0.13%
17	0.09%	0.09%	0.09%	0.15%	0.17%	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%	0.1%
14	0.07%	0.07%	0.07%	0.09%	0.11%	0.08%
13	0.06%	0.05%	0.06%	0.08%	0.09%	0.08%
12	0.05%	0.04%	0.05%	0.08%	0.08%	0.07%
11	0.04%	0.04%	0.04%	0.07%	0.08%	0.07%
10	0.04%	0.03%	0.04%	0.07%	0.08%	0.07%
9	0.04%	0.04%	0.04%	0.08%	0.08%	0.07%
8	0.05%	0.04%	0.05%	0.08%	0.09%	0.08%
7	0.06%	0.05%	0.06%	0.09%	0.1%	0.09%
6	0.07%	0.07%	0.07%	0.1%	0.11%	0.1%
5	0.08%	0.07%	0.08%	0.12%	0.13%	0.12%
4	0.07%	0.07%	0.08%	0.16%	0.16%	0.16%
3	0.06%	0.06%	0.07%	0.22%	0.22%	0.22%
2	0.07%	0.07%	0.07%	0.32%	0.32%	0.32%
1	0.18%	0.18%	0.17%	0.5%	0.48%	0.52%
0	1.53%	1.61%	1.44%	3.6%	3.97%	3.23%

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

The annual chance of dying is 1.53% in the birth year in Bangladesh and 3.6% in Eswatini, 0.1% vs 0.37% at age 30, 1.12% vs 2.22% at 60, and 6.36% vs 8.18% at 80.

Death rate by age in Bangladesh vs Eswatini

Chart Table

Bangladesh

Male

Female

Eswatini

Male

Female

1x

Age	Death rate
	Bangladesh			Eswatini
	Total	Male	Female	Total	Male	Female
100	243.5	52.4	450	36.6	16	56.8
99	504	274.2	753	150.8	94.3	204.8
98	698	414	1,006	212.7	135.1	286.8
97	924	588	1,288	295.9	190.3	396
96	1,175	796	1,587	400	260.9	532
95	1,440	1,030	1,887	524	348	691
94	1,718	1,287	2,186	666	452	868
93	1,995	1,557	2,471	825	570	1,064
92	2,264	1,828	2,735	999	702	1,275
91	2,514	2,095	2,969	1,171	838	1,479
90	2,738	2,353	3,155	1,369	990	1,719
89	2,932	2,596	3,297	1,543	1,137	1,915
88	3,093	2,815	3,394	1,718	1,287	2,112
87	3,217	3,003	3,447	1,878	1,430	2,285
86	3,301	3,148	3,465	2,022	1,563	2,440
85	3,347	3,247	3,451	2,122	1,670	2,534
84	3,355	3,299	3,412	2,208	1,771	2,609
83	3,331	3,310	3,348	2,246	1,837	2,629
82	3,279	3,289	3,261	2,264	1,889	2,625
81	3,205	3,246	3,153	2,228	1,901	2,554
80	3,114	3,189	3,027	2,237	1,930	2,541
79	3,015	3,128	2,889	2,235	1,964	2,497
78	2,903	3,054	2,742	2,258	2,010	2,497
77	2,781	2,966	2,589	2,245	2,031	2,450
76	2,649	2,862	2,434	2,255	2,065	2,431
75	2,510	2,740	2,281	2,254	2,088	2,392
74	2,374	2,605	2,137	2,237	2,105	2,342
73	2,238	2,458	1,998	2,210	2,116	2,283
72	2,099	2,301	1,868	2,184	2,126	2,231
71	1,961	2,138	1,748	2,123	2,109	2,140
70	1,826	1,974	1,638	2,112	2,126	2,105
69	1,697	1,817	1,540	2,055	2,105	2,011
68	1,574	1,674	1,445	2,022	2,103	1,953
67	1,463	1,551	1,351	1,971	2,096	1,884
66	1,364	1,452	1,255	1,929	2,091	1,822
65	1,278	1,382	1,154	1,910	2,096	1,776
64	1,206	1,339	1,052	1,823	2,030	1,669
63	1,143	1,310	953	1,735	1,962	1,572
62	1,085	1,285	861	1,653	1,895	1,481
61	1,028	1,253	781	1,560	1,809	1,380
60	968	1,203	714	1,503	1,753	1,315
59	906	1,138	659	1,422	1,658	1,223
58	841	1,059	615	1,359	1,590	1,157
57	778	975	577	1,288	1,523	1,090
56	718	892	545	1,236	1,466	1,037
55	664	814	516	1,191	1,415	984
54	615	743	490	1,141	1,361	937
53	570	679	464	1,093	1,309	890
52	526	618	437	1,054	1,261	851
51	482	560	406	1,003	1,204	799
50	437	503	371	971	1,163	767
49	391	448	334	917	1,100	719
48	347	396	296.7	870	1,049	680
47	307	349	263.5	824	997	641
46	272.6	308	235.8	784	949	607
45	244	272.8	214.7	749	907	579
44	221.8	243.8	200.3	707	860	548
43	204.5	219.6	190.2	673	820	523
42	190.1	199.2	181.9	644	784	501
41	177.1	181.7	173	612	744	474
40	164	166.5	161.7	588	716	456
39	149.7	153.1	146.8	555	676	431
38	135.6	141.5	130.4	527	644	411
37	123.1	132.1	115.1	499	610	388
36	112.9	124.8	102.4	473	576	369
35	105.6	119.7	93.2	449	546	350
34	101.3	116.7	87.9	422	514	329
33	99.2	115.2	85.6	398	484	312
32	98.3	114.1	85	377	458	296
31	97.4	112.5	84.9	355	431	278.1
30	95.3	109.1	84	341	413	267.6
29	90.9	103.1	81.1	323	389	253.5
28	85.2	95.6	76.8	307	370	240
27	79.3	88.1	72.3	291.7	351	227.8
26	74.5	81.9	68.5	276.2	333	215.1
25	71.7	78	66.4	261.8	318	202.5
24	71	76.7	66.2	247.4	301	191.2
23	73	78.2	68.4	233.7	286.1	180
22	76.9	81.7	72.4	219.9	269.6	169.1
21	81.9	86.3	77.8	205.3	251.3	158.1
20	87.2	90.9	83.5	191.5	232.5	149.8
19	91.1	93.9	88.3	175.6	212.4	138.7
18	92.8	94.5	91	159.8	192.1	127.6
17	91.4	92	90.8	139.6	164	115
16	86.6	86.2	87	120.6	137.9	103
15	78	77	79	104.1	116.5	91.4
14	66.5	65.4	67.8	89.6	99	80.1
13	54.3	53.3	55.5	79.4	86.7	72.1
12	44.1	43.2	45.1	73.2	79.9	66.5
11	37.7	36.8	38.7	70.4	76.6	64.2
10	34.4	33.5	35.3	70.1	75.1	65
9	36.2	35	37.5	72.6	77.3	67.9
8	44.9	42.8	47	78.5	83.5	73.3
7	56.8	53.6	60.1	87.5	92.4	82.5
6	67.8	63.8	72.1	98.8	102.8	94.8
5	74.1	69.7	78.7	116.9	119.6	114.1
4	71.7	67.9	75.7	153.1	156.5	149.6
3	61.4	58.9	63.9	209.5	211.6	207.2
2	70.1	68.9	71.4	303	302	304
1	172.9	175.4	170.2	481	464	498
0	1,530	1,613	1,443	3,605	3,974	3,230

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 Eswatini. The median age of death is 79.7 in Bangladesh and 69.7 in Eswatini, 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 Eswatini more than their death rates.

Life expectancy in other countries

+ -

1x