Life Expectancy in Bahamas vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Bahamas

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Bahamas			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	103.4	102.6	103.5	102.2	101.9	102.2
99	102.5	101.8	102.7	101.2	101	101.3
98	101.7	100.9	101.9	100.4	100.1	100.4
97	100.9	100.1	101.2	99.5	99.2	99.5
96	100.1	99.2	100.4	98.6	98.4	98.7
95	99.3	98.4	99.7	97.7	97.5	97.8
94	98.6	97.6	98.9	96.9	96.6	97
93	97.8	96.8	98.2	96	95.7	96.1
92	97.1	96	97.5	95.2	94.9	95.3
91	96.3	95.3	96.8	94.4	94	94.5
90	95.6	94.5	96.2	93.6	93.2	93.8
89	94.9	93.8	95.5	92.8	92.4	93
88	94.2	93	94.9	92	91.6	92.2
87	93.6	92.3	94.3	91.2	90.8	91.5
86	92.9	91.7	93.7	90.5	90	90.8
85	92.3	91	93.1	89.8	89.2	90.1
84	91.7	90.3	92.6	89	88.4	89.4
83	91.1	89.7	92	88.4	87.7	88.7
82	90.5	89.1	91.5	87.7	87	88.1
81	89.9	88.5	91	87	86.3	87.5
80	89.4	87.9	90.5	86.4	85.6	86.9
79	88.8	87.3	90	85.8	84.9	86.3
78	88.3	86.8	89.5	85.1	84.2	85.7
77	87.9	86.3	89.1	84.5	83.6	85.2
76	87.4	85.8	88.7	83.9	83	84.6
75	87	85.3	88.3	83.4	82.3	84.1
74	86.6	84.9	87.9	82.8	81.7	83.5
73	86.2	84.4	87.6	82.2	81.2	83
72	85.8	84	87.3	81.7	80.6	82.5
71	85.4	83.6	86.9	81.2	80	82.1
70	85	83.1	86.6	80.7	79.5	81.6
69	84.6	82.6	86.3	80.2	79	81.1
68	84.2	82.2	85.9	79.7	78.4	80.7
67	83.8	81.8	85.6	79.2	77.9	80.2
66	83.5	81.4	85.3	78.8	77.5	79.8
65	83.2	81	85	78.3	77	79.4
64	82.9	80.7	84.8	77.9	76.5	79
63	82.6	80.5	84.6	77.5	76.1	78.6
62	82.4	80.2	84.4	77.1	75.6	78.2
61	82.2	79.9	84.2	76.7	75.2	77.9
60	82	79.7	84	76.3	74.8	77.5
59	81.8	79.4	83.9	75.9	74.4	77.2
58	81.5	79.2	83.7	75.6	74	76.9
57	81.3	78.9	83.5	75.2	73.6	76.6
56	81.1	78.6	83.4	74.9	73.2	76.3
55	80.9	78.4	83.2	74.6	72.8	76
54	80.7	78.2	83	74.2	72.5	75.7
53	80.5	77.9	82.8	73.9	72.1	75.4
52	80.3	77.7	82.6	73.6	71.8	75.1
51	80.1	77.6	82.5	73.3	71.4	74.8
50	79.9	77.4	82.3	73	71.1	74.6
49	79.7	77.2	82.1	72.7	70.8	74.3
48	79.6	77	82	72.5	70.5	74
47	79.4	76.8	81.8	72.2	70.2	73.8
46	79.3	76.6	81.7	71.9	69.9	73.6
45	79.1	76.4	81.6	71.7	69.6	73.3
44	78.9	76.3	81.5	71.4	69.3	73.1
43	78.8	76.1	81.3	71.2	69	72.9
42	78.7	75.9	81.2	70.9	68.7	72.7
41	78.5	75.7	81.1	70.7	68.5	72.5
40	78.4	75.6	81	70.5	68.2	72.2
39	78.3	75.4	80.9	70.2	68	72
38	78.1	75.3	80.8	70	67.8	71.9
37	78	75.1	80.7	69.8	67.5	71.7
36	77.9	75	80.6	69.6	67.3	71.5
35	77.8	74.8	80.5	69.4	67.1	71.3
34	77.6	74.7	80.5	69.2	66.9	71.1
33	77.5	74.5	80.4	69	66.7	71
32	77.4	74.4	80.3	68.9	66.5	70.8
31	77.3	74.3	80.2	68.7	66.3	70.6
30	77.2	74.1	80.2	68.5	66.2	70.5
29	77.1	74	80.1	68.4	66	70.4
28	77	73.9	80	68.2	65.8	70.2
27	76.9	73.8	80	68.1	65.7	70.1
26	76.9	73.6	79.9	68	65.5	70
25	76.8	73.5	79.9	67.8	65.4	69.8
24	76.7	73.4	79.9	67.7	65.3	69.7
23	76.6	73.2	79.8	67.6	65.1	69.6
22	76.5	73.1	79.8	67.5	65	69.5
21	76.4	73	79.8	67.4	64.9	69.4
20	76.3	72.8	79.7	67.3	64.8	69.3
19	76.2	72.7	79.7	67.2	64.7	69.3
18	76.2	72.6	79.7	67.1	64.6	69.2
17	76.1	72.5	79.6	67	64.5	69.1
16	76.1	72.5	79.6	67	64.4	69.1
15	76.1	72.5	79.6	66.9	64.4	69
14	76	72.4	79.6	66.8	64.3	69
13	76	72.4	79.6	66.8	64.3	68.9
12	76	72.4	79.5	66.8	64.2	68.9
11	76	72.4	79.5	66.7	64.2	68.8
10	76	72.4	79.5	66.7	64.2	68.8
9	76	72.4	79.5	66.6	64.1	68.8
8	76	72.4	79.5	66.6	64.1	68.7
7	76	72.3	79.5	66.5	64	68.7
6	75.9	72.3	79.5	66.5	64	68.6
5	75.9	72.3	79.5	66.4	63.9	68.5
4	75.9	72.3	79.4	66.3	63.8	68.4
3	75.9	72.2	79.4	66.2	63.6	68.3
2	75.8	72.2	79.4	66	63.5	68.1
1	75.8	72.2	79.3	65.6	63.2	67.7
0	75	71.4	78.6	63.6	61	65.9

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 the Bahamas can expect to live to 77.2 years compared to 68.5 in Zimbabwe, rising to 83.2 and 78.3 at 65, and to 89.4 and 86.4 at 80 — higher than the 75 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bahamas

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Bahamas			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	3.22%	1.09%	5.46%	0.2%	0.07%	0.33%
99	4.1%	1.51%	6.81%	0.31%	0.12%	0.5%
98	5.15%	2.06%	8.38%	0.46%	0.18%	0.73%
97	6.36%	2.74%	10.1%	0.66%	0.27%	1.05%
96	7.76%	3.57%	12.1%	0.94%	0.4%	1.47%
95	9.34%	4.58%	14.3%	1.3%	0.59%	2.02%
94	11.1%	5.78%	16.6%	1.77%	0.83%	2.71%
93	13%	7.17%	19.1%	2.36%	1.15%	3.55%
92	15.1%	8.75%	21.8%	3.08%	1.57%	4.57%
91	17.4%	10.5%	24.5%	3.95%	2.09%	5.75%
90	19.9%	12.5%	27.4%	4.99%	2.73%	7.15%
89	22.5%	14.7%	30.4%	6.18%	3.51%	8.72%
88	25.2%	17%	33.4%	7.56%	4.44%	10.5%
87	27.9%	19.5%	36.4%	9.1%	5.53%	12.4%
86	30.8%	22.1%	39.4%	10.8%	6.78%	14.5%
85	33.6%	24.8%	42.3%	12.7%	8.2%	16.8%
84	36.5%	27.6%	45.2%	14.7%	9.78%	19.1%
83	39.4%	30.5%	48%	16.8%	11.5%	21.5%
82	42.2%	33.4%	50.8%	19%	13.4%	24%
81	45.1%	36.3%	53.5%	21.2%	15.4%	26.4%
80	47.9%	39.1%	56.2%	23.5%	17.5%	28.8%
79	50.6%	41.9%	58.9%	25.9%	19.7%	31.3%
78	53.2%	44.6%	61.5%	28.3%	21.9%	33.8%
77	55.7%	47.2%	63.9%	30.7%	24.3%	36.3%
76	58%	49.6%	66.1%	33.2%	26.6%	38.7%
75	60.1%	51.9%	68%	35.6%	29%	41.2%
74	62.1%	54.2%	69.8%	38%	31.4%	43.6%
73	64%	56.4%	71.5%	40.4%	33.9%	45.9%
72	65.9%	58.5%	73%	42.8%	36.3%	48.2%
71	67.8%	60.7%	74.6%	45.1%	38.6%	50.4%
70	69.6%	62.9%	76.2%	47.3%	40.9%	52.6%
69	71.5%	65.1%	77.7%	49.5%	43.2%	54.7%
68	73.3%	67.2%	79.3%	51.6%	45.4%	56.7%
67	75.1%	69.2%	80.7%	53.6%	47.6%	58.6%
66	76.6%	71%	82.1%	55.6%	49.7%	60.5%
65	78%	72.5%	83.2%	57.6%	51.8%	62.3%
64	79.1%	73.9%	84.2%	59.5%	53.8%	64%
63	80.2%	75.2%	85%	61.2%	55.8%	65.7%
62	81.1%	76.3%	85.7%	63%	57.7%	67.2%
61	81.9%	77.3%	86.3%	64.6%	59.5%	68.7%
60	82.7%	78.4%	87%	66.2%	61.2%	70.1%
59	83.5%	79.4%	87.6%	67.6%	62.9%	71.4%
58	84.3%	80.4%	88.1%	69.1%	64.5%	72.7%
57	85.1%	81.4%	88.7%	70.4%	66%	73.9%
56	85.9%	82.3%	89.3%	71.7%	67.5%	75%
55	86.6%	83.2%	89.9%	72.9%	69%	76.1%
54	87.3%	84%	90.5%	74.1%	70.3%	77.2%
53	87.9%	84.8%	91%	75.2%	71.7%	78.2%
52	88.5%	85.4%	91.5%	76.3%	73%	79.1%
51	89.1%	86.1%	92.1%	77.4%	74.2%	80.1%
50	89.7%	86.7%	92.5%	78.4%	75.4%	81%
49	90.2%	87.2%	93%	79.4%	76.6%	81.8%
48	90.7%	87.8%	93.4%	80.3%	77.7%	82.6%
47	91.1%	88.3%	93.8%	81.2%	78.7%	83.4%
46	91.6%	88.9%	94.2%	82%	79.7%	84.1%
45	92%	89.4%	94.5%	82.9%	80.7%	84.8%
44	92.4%	89.9%	94.8%	83.6%	81.6%	85.5%
43	92.8%	90.4%	95.1%	84.4%	82.5%	86.1%
42	93.1%	90.9%	95.3%	85.1%	83.3%	86.7%
41	93.5%	91.3%	95.6%	85.8%	84.1%	87.3%
40	93.8%	91.8%	95.8%	86.4%	84.9%	87.9%
39	94.1%	92.2%	96.1%	87.1%	85.6%	88.4%
38	94.4%	92.6%	96.3%	87.7%	86.3%	89%
37	94.7%	92.9%	96.5%	88.2%	86.9%	89.5%
36	95%	93.3%	96.7%	88.8%	87.5%	89.9%
35	95.3%	93.6%	96.9%	89.3%	88.1%	90.4%
34	95.6%	94%	97.1%	89.8%	88.7%	90.8%
33	95.8%	94.3%	97.3%	90.2%	89.2%	91.2%
32	96%	94.6%	97.5%	90.7%	89.7%	91.6%
31	96.3%	94.9%	97.6%	91.1%	90.1%	91.9%
30	96.5%	95.2%	97.7%	91.4%	90.6%	92.3%
29	96.7%	95.5%	97.8%	91.8%	91%	92.6%
28	96.8%	95.7%	97.9%	92.1%	91.4%	92.9%
27	97%	96%	98%	92.5%	91.7%	93.2%
26	97.2%	96.2%	98.1%	92.8%	92.1%	93.5%
25	97.3%	96.5%	98.2%	93.1%	92.4%	93.7%
24	97.5%	96.7%	98.3%	93.3%	92.7%	93.9%
23	97.7%	97%	98.3%	93.6%	93%	94.2%
22	97.8%	97.3%	98.4%	93.8%	93.3%	94.4%
21	98%	97.5%	98.5%	94%	93.5%	94.5%
20	98.2%	97.8%	98.5%	94.2%	93.8%	94.7%
19	98.3%	98%	98.6%	94.4%	94%	94.9%
18	98.4%	98.2%	98.6%	94.6%	94.2%	95%
17	98.5%	98.3%	98.7%	94.7%	94.3%	95.1%
16	98.5%	98.4%	98.7%	94.8%	94.5%	95.2%
15	98.6%	98.4%	98.7%	94.9%	94.6%	95.3%
14	98.6%	98.5%	98.7%	95%	94.7%	95.4%
13	98.6%	98.5%	98.8%	95.1%	94.8%	95.5%
12	98.7%	98.5%	98.8%	95.2%	94.8%	95.6%
11	98.7%	98.6%	98.8%	95.3%	94.9%	95.6%
10	98.7%	98.6%	98.8%	95.3%	95%	95.7%
9	98.7%	98.6%	98.8%	95.4%	95.1%	95.8%
8	98.7%	98.6%	98.8%	95.5%	95.1%	95.8%
7	98.7%	98.6%	98.9%	95.6%	95.2%	95.9%
6	98.8%	98.7%	98.9%	95.7%	95.3%	96%
5	98.8%	98.7%	98.9%	95.8%	95.5%	96.1%
4	98.8%	98.7%	98.9%	95.9%	95.6%	96.3%
3	98.9%	98.8%	99%	96.2%	95.8%	96.5%
2	98.9%	98.8%	99%	96.5%	96.1%	96.8%
1	99%	98.9%	99.1%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 82.7% of newborns in the Bahamas and 66.2% in Zimbabwe are expected to live past 60, 69.6% and 47.3% past 70, 47.9% and 23.5% past 80, and only 19.9% and 4.99% past 90.

For longevity rates starting from a different age, use the calculator provided above.

Odds of dying at each age

Chart Table

Bahamas

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Bahamas			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	22.6%	29.3%	21.1%	35.7%	38.2%	35%
99	21.5%	27.8%	19.9%	34.3%	36.9%	33.6%
98	20.3%	26.3%	18.7%	32.4%	35.2%	31.7%
97	19.1%	24.9%	17.4%	31.1%	33.9%	30.2%
96	18%	23.4%	16.3%	29.6%	32.5%	28.7%
95	16.9%	22%	15.1%	28.1%	31%	27.1%
94	15.8%	20.7%	14%	26.4%	29.5%	25.4%
93	14.9%	19.4%	13%	24.9%	27.9%	23.7%
92	14%	18.1%	12.2%	23.5%	26.4%	22.2%
91	13.1%	16.9%	11.3%	21.9%	24.9%	20.6%
90	12.3%	15.8%	10.5%	20.9%	23.7%	19.6%
89	11.5%	14.7%	9.78%	19.3%	22.2%	18%
88	10.7%	13.7%	9.03%	18.2%	20.9%	16.8%
87	9.96%	12.7%	8.29%	16.9%	19.7%	15.6%
86	9.22%	11.8%	7.57%	15.8%	18.5%	14.5%
85	8.52%	11%	6.91%	14.7%	17.3%	13.3%
84	7.88%	10.2%	6.32%	13.6%	16.2%	12.3%
83	7.29%	9.41%	5.84%	12.5%	15%	11.2%
82	6.75%	8.68%	5.45%	11.6%	14%	10.2%
81	6.27%	7.98%	5.12%	10.5%	12.9%	9.17%
80	5.83%	7.3%	4.83%	9.89%	12.1%	8.58%
79	5.39%	6.65%	4.53%	9.11%	11.1%	7.87%
78	4.92%	6.03%	4.17%	8.54%	10.4%	7.38%
77	4.45%	5.45%	3.75%	7.89%	9.57%	6.81%
76	3.98%	4.93%	3.32%	7.37%	8.9%	6.37%
75	3.57%	4.49%	2.9%	6.87%	8.28%	5.94%
74	3.23%	4.13%	2.56%	6.38%	7.68%	5.51%
73	2.98%	3.87%	2.31%	5.92%	7.12%	5.11%
72	2.83%	3.69%	2.15%	5.51%	6.62%	4.76%
71	2.74%	3.58%	2.08%	5.06%	6.09%	4.37%
70	2.69%	3.48%	2.05%	4.75%	5.7%	4.11%
69	2.63%	3.36%	2.03%	4.38%	5.25%	3.78%
68	2.5%	3.16%	1.96%	4.09%	4.9%	3.54%
67	2.29%	2.87%	1.81%	3.82%	4.56%	3.31%
66	2.02%	2.53%	1.6%	3.58%	4.26%	3.1%
65	1.74%	2.18%	1.37%	3.38%	4.01%	2.93%
64	1.47%	1.87%	1.14%	3.14%	3.74%	2.7%
63	1.27%	1.63%	0.97%	2.92%	3.5%	2.49%
62	1.13%	1.47%	0.84%	2.73%	3.28%	2.31%
61	1.04%	1.37%	0.75%	2.53%	3.04%	2.13%
60	0.99%	1.32%	0.7%	2.37%	2.87%	1.99%
59	0.96%	1.29%	0.68%	2.19%	2.65%	1.85%
58	0.95%	1.26%	0.67%	2.04%	2.48%	1.73%
57	0.92%	1.22%	0.66%	1.91%	2.33%	1.62%
56	0.89%	1.15%	0.65%	1.79%	2.2%	1.53%
55	0.84%	1.06%	0.64%	1.69%	2.09%	1.44%
54	0.78%	0.96%	0.63%	1.6%	1.97%	1.36%
53	0.73%	0.87%	0.61%	1.52%	1.87%	1.29%
52	0.68%	0.79%	0.58%	1.44%	1.78%	1.23%
51	0.64%	0.73%	0.56%	1.36%	1.68%	1.15%
50	0.6%	0.69%	0.53%	1.3%	1.6%	1.1%
49	0.57%	0.66%	0.49%	1.22%	1.5%	1.03%
48	0.54%	0.64%	0.46%	1.16%	1.41%	0.98%
47	0.51%	0.62%	0.42%	1.09%	1.33%	0.92%
46	0.49%	0.6%	0.38%	1.04%	1.25%	0.87%
45	0.46%	0.59%	0.35%	0.99%	1.19%	0.83%
44	0.43%	0.57%	0.32%	0.93%	1.12%	0.78%
43	0.41%	0.54%	0.29%	0.89%	1.06%	0.75%
42	0.39%	0.52%	0.27%	0.84%	1%	0.71%
41	0.37%	0.49%	0.26%	0.8%	0.95%	0.68%
40	0.35%	0.46%	0.25%	0.76%	0.9%	0.65%
39	0.33%	0.44%	0.24%	0.72%	0.85%	0.62%
38	0.32%	0.42%	0.24%	0.68%	0.8%	0.59%
37	0.31%	0.4%	0.23%	0.64%	0.75%	0.55%
36	0.3%	0.39%	0.22%	0.61%	0.71%	0.53%
35	0.29%	0.37%	0.21%	0.57%	0.66%	0.5%
34	0.28%	0.36%	0.2%	0.54%	0.62%	0.47%
33	0.26%	0.35%	0.18%	0.5%	0.58%	0.44%
32	0.25%	0.33%	0.17%	0.47%	0.54%	0.41%
31	0.23%	0.32%	0.15%	0.44%	0.51%	0.39%
30	0.21%	0.3%	0.13%	0.42%	0.48%	0.37%
29	0.2%	0.28%	0.12%	0.4%	0.45%	0.35%
28	0.18%	0.27%	0.1%	0.37%	0.42%	0.33%
27	0.17%	0.26%	0.09%	0.35%	0.4%	0.31%
26	0.17%	0.26%	0.08%	0.33%	0.37%	0.29%
25	0.17%	0.26%	0.08%	0.31%	0.35%	0.26%
24	0.17%	0.27%	0.07%	0.29%	0.33%	0.25%
23	0.17%	0.28%	0.07%	0.27%	0.31%	0.23%
22	0.17%	0.28%	0.06%	0.25%	0.29%	0.21%
21	0.17%	0.27%	0.06%	0.23%	0.27%	0.19%
20	0.16%	0.25%	0.06%	0.21%	0.25%	0.18%
19	0.14%	0.22%	0.05%	0.19%	0.22%	0.16%
18	0.11%	0.17%	0.05%	0.17%	0.2%	0.15%
17	0.08%	0.13%	0.04%	0.15%	0.17%	0.13%
16	0.06%	0.09%	0.03%	0.13%	0.14%	0.12%
15	0.04%	0.06%	0.03%	0.11%	0.12%	0.1%
14	0.03%	0.04%	0.02%	0.1%	0.1%	0.09%
13	0.02%	0.03%	0.02%	0.08%	0.09%	0.08%
12	0.02%	0.02%	0.02%	0.08%	0.08%	0.07%
11	0.02%	0.02%	0.02%	0.07%	0.08%	0.07%
10	0.02%	0.02%	0.01%	0.07%	0.08%	0.07%
9	0.02%	0.02%	0.02%	0.08%	0.08%	0.07%
8	0.02%	0.02%	0.02%	0.08%	0.09%	0.08%
7	0.02%	0.03%	0.02%	0.09%	0.1%	0.09%
6	0.03%	0.03%	0.02%	0.1%	0.11%	0.1%
5	0.03%	0.04%	0.03%	0.12%	0.13%	0.12%
4	0.04%	0.04%	0.03%	0.16%	0.17%	0.16%
3	0.04%	0.04%	0.04%	0.22%	0.22%	0.22%
2	0.05%	0.05%	0.05%	0.32%	0.32%	0.32%
1	0.06%	0.05%	0.06%	0.5%	0.48%	0.52%
0	1.01%	1.11%	0.92%	3.05%	3.4%	2.7%

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

The annual chance of dying is 1.01% in the birth year in the Bahamas and 3.05% in Zimbabwe, 0.21% vs 0.42% at age 30, 0.99% vs 2.37% at 60, and 5.83% vs 9.89% at 80.

Death rate by age in Bahamas vs Zimbabwe

Chart Table

Bahamas

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Bahamas			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	700	257.2	1,161	24.9	0	53
99	881	422	1,359	105.4	43.2	168.4
98	1,043	542	1,564	147.6	63.5	232.4
97	1,216	680	1,770	205	92.4	318
96	1,395	836	1,972	277.6	131.3	423
95	1,576	1,009	2,161	366	181.8	548
94	1,758	1,195	2,334	469	244.7	687
93	1,937	1,390	2,492	588	322	843
92	2,115	1,587	2,644	724	414	1,016
91	2,286	1,783	2,783	863	518	1,184
90	2,443	1,974	2,893	1,040	647	1,401
89	2,582	2,155	2,974	1,196	779	1,570
88	2,697	2,323	3,019	1,372	930	1,762
87	2,783	2,475	3,020	1,540	1,088	1,934
86	2,838	2,608	2,983	1,709	1,253	2,102
85	2,867	2,719	2,924	1,858	1,418	2,232
84	2,876	2,807	2,859	1,999	1,583	2,345
83	2,871	2,867	2,802	2,102	1,730	2,403
82	2,852	2,896	2,765	2,197	1,873	2,450
81	2,827	2,893	2,743	2,235	1,982	2,419
80	2,789	2,857	2,718	2,328	2,113	2,474
79	2,725	2,788	2,668	2,358	2,186	2,465
78	2,620	2,690	2,561	2,416	2,272	2,497
77	2,477	2,572	2,398	2,424	2,321	2,470
76	2,311	2,447	2,191	2,444	2,370	2,468
75	2,144	2,330	1,974	2,448	2,404	2,446
74	2,005	2,238	1,786	2,427	2,414	2,401
73	1,910	2,181	1,651	2,393	2,412	2,346
72	1,863	2,161	1,574	2,356	2,400	2,294
71	1,858	2,171	1,552	2,281	2,352	2,203
70	1,873	2,190	1,564	2,250	2,336	2,164
69	1,878	2,185	1,578	2,166	2,269	2,069
68	1,832	2,121	1,552	2,111	2,224	2,007
67	1,721	1,988	1,465	2,050	2,172	1,938
66	1,549	1,794	1,316	1,993	2,121	1,875
65	1,353	1,580	1,137	1,945	2,075	1,824
64	1,167	1,381	963	1,866	2,014	1,726
63	1,019	1,225	821	1,790	1,952	1,636
62	914	1,119	716	1,718	1,890	1,553
61	850	1,059	648	1,632	1,809	1,463
60	817	1,032	610	1,571	1,756	1,398
59	804	1,024	592	1,481	1,664	1,318
58	798	1,017	586	1,411	1,599	1,257
57	785	992	585	1,341	1,537	1,197
56	761	946	584	1,284	1,485	1,146
55	726	880	578	1,233	1,440	1,097
54	685	806	568	1,184	1,389	1,052
53	642	736	553	1,140	1,342	1,009
52	603	676	535	1,100	1,298	971
51	569	629	513	1,050	1,245	925
50	541	597	488	1,018	1,207	892
49	515	574	460	969	1,146	846
48	492	559	429	929	1,096	806
47	469	548	395	888	1,046	766
46	446	537	361	850	1,000	731
45	423	525	328	816	958	702
44	401	511	299.5	779	911	669
43	380	493	276.1	747	871	642
42	361	472	258.3	717	834	617
41	343	449	245.7	685	795	592
40	328	426	237.2	659	766	571
39	315	404	231.4	627	725	545
38	304	386	226.4	599	691	522
37	293.8	371	220.7	568	655	496
36	284.7	360	213.2	539	619	473
35	275.4	351	203.3	512	586	450
34	264.9	342	191	481	550	423
33	252.4	331	176.6	453	517	400
32	237.7	317	161	428	487	379
31	221.5	300	144.9	403	458	356
30	205.3	283.1	129.3	385	436	341
29	190.3	267.4	115	363	409	323
28	178.2	255.7	102.4	343	387	303
27	169.7	249.4	91.5	324	365	286.2
26	165.1	248.9	82.7	304	344	267.1
25	163.9	253.3	75.7	286.4	326	248.2
24	165.2	260.7	70.4	268.5	307	231.1
23	167.5	268.6	66.7	251.5	289	214.4
22	168	272.1	63.9	234.1	270.1	198.3
21	164.1	266.4	61.3	216.1	249.9	182.2
20	153.3	247.4	58.3	200.4	229.9	170.6
19	134	213.1	53.9	182.4	209.2	155.3
18	108.8	168.7	48	164.9	188.9	140.6
17	82.4	123	41.1	143.2	161.3	124.9
16	59.3	84.2	33.9	122.8	135.4	110
15	42.2	56.6	27.4	106.1	114.9	97.1
14	30.6	38.9	22.2	90.9	97.8	83.9
13	23.5	28.5	18.5	80.4	85.9	74.8
12	19.6	23.1	16.1	73.9	79.4	68.4
11	17.8	20.6	14.8	70.9	76.1	65.5
10	17.5	20.3	14.6	70.4	74.5	66.2
9	18.3	21.5	15.1	72.9	76.9	68.8
8	20.1	23.8	16.3	78.6	83.3	73.8
7	22.6	26.9	18.2	87.5	92.4	82.5
6	25.9	30.6	21.1	98.5	103	94
5	29.9	34.6	25.2	116.6	119.9	113.1
4	34.8	38.7	30.7	153.9	157.9	149.8
3	40.5	42.9	38	211.7	213.4	209.9
2	47.8	47.5	48	308	305	311
1	58	53.8	62.2	484	463	505
0	1,014	1,107	918	3,053	3,402	2,699

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 the Bahamas, the most common age of death is 84, compared to 0 in Zimbabwe. The median age of death is 79.2 in the Bahamas and 68.8 in Zimbabwe, 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 the Bahamas and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x