Life Expectancy in Singapore vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Singapore

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Singapore			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102.7	102.3	102.9	102.2	101.9	102.2
99	101.9	101.5	102.1	101.2	101	101.3
98	101.1	100.7	101.3	100.4	100.1	100.4
97	100.3	99.9	100.5	99.5	99.2	99.5
96	99.6	99.1	99.8	98.6	98.4	98.7
95	98.8	98.3	99	97.7	97.5	97.8
94	98.1	97.6	98.3	96.9	96.6	97
93	97.4	96.8	97.7	96	95.7	96.1
92	96.7	96.1	97	95.2	94.9	95.3
91	96.1	95.4	96.4	94.4	94	94.5
90	95.5	94.7	95.8	93.6	93.2	93.8
89	94.8	94.1	95.3	92.8	92.4	93
88	94.3	93.5	94.7	92	91.6	92.2
87	93.7	92.9	94.2	91.2	90.8	91.5
86	93.2	92.3	93.7	90.5	90	90.8
85	92.7	91.7	93.3	89.8	89.2	90.1
84	92.2	91.2	92.9	89	88.4	89.4
83	91.7	90.7	92.5	88.4	87.7	88.7
82	91.3	90.2	92.1	87.7	87	88.1
81	90.9	89.8	91.7	87	86.3	87.5
80	90.5	89.3	91.4	86.4	85.6	86.9
79	90.1	88.9	91.1	85.8	84.9	86.3
78	89.8	88.5	90.8	85.1	84.2	85.7
77	89.5	88.1	90.5	84.5	83.6	85.2
76	89.1	87.7	90.3	83.9	83	84.6
75	88.8	87.4	90.1	83.4	82.3	84.1
74	88.6	87.1	89.8	82.8	81.7	83.5
73	88.3	86.7	89.7	82.2	81.2	83
72	88.1	86.4	89.5	81.7	80.6	82.5
71	87.8	86.1	89.3	81.2	80	82.1
70	87.6	85.9	89.2	80.7	79.5	81.6
69	87.4	85.6	89	80.2	79	81.1
68	87.2	85.4	88.9	79.7	78.4	80.7
67	87	85.2	88.7	79.2	77.9	80.2
66	86.9	85	88.6	78.8	77.5	79.8
65	86.7	84.8	88.5	78.3	77	79.4
64	86.6	84.6	88.4	77.9	76.5	79
63	86.4	84.4	88.3	77.5	76.1	78.6
62	86.3	84.3	88.2	77.1	75.6	78.2
61	86.2	84.1	88.1	76.7	75.2	77.9
60	86	84	88	76.3	74.8	77.5
59	85.9	83.8	87.9	75.9	74.4	77.2
58	85.8	83.7	87.9	75.6	74	76.9
57	85.7	83.6	87.8	75.2	73.6	76.6
56	85.6	83.5	87.7	74.9	73.2	76.3
55	85.5	83.3	87.6	74.6	72.8	76
54	85.4	83.2	87.6	74.2	72.5	75.7
53	85.4	83.2	87.5	73.9	72.1	75.4
52	85.3	83.1	87.5	73.6	71.8	75.1
51	85.2	83	87.4	73.3	71.4	74.8
50	85.2	82.9	87.4	73	71.1	74.6
49	85.1	82.8	87.3	72.7	70.8	74.3
48	85	82.8	87.3	72.5	70.5	74
47	85	82.7	87.2	72.2	70.2	73.8
46	85	82.7	87.2	71.9	69.9	73.6
45	84.9	82.6	87.2	71.7	69.6	73.3
44	84.9	82.6	87.1	71.4	69.3	73.1
43	84.8	82.5	87.1	71.2	69	72.9
42	84.8	82.5	87.1	70.9	68.7	72.7
41	84.8	82.4	87.1	70.7	68.5	72.5
40	84.7	82.4	87.1	70.5	68.2	72.2
39	84.7	82.4	87	70.2	68	72
38	84.7	82.4	87	70	67.8	71.9
37	84.7	82.3	87	69.8	67.5	71.7
36	84.7	82.3	87	69.6	67.3	71.5
35	84.6	82.3	87	69.4	67.1	71.3
34	84.6	82.3	87	69.2	66.9	71.1
33	84.6	82.2	87	69	66.7	71
32	84.6	82.2	86.9	68.9	66.5	70.8
31	84.6	82.2	86.9	68.7	66.3	70.6
30	84.5	82.2	86.9	68.5	66.2	70.5
29	84.5	82.2	86.9	68.4	66	70.4
28	84.5	82.1	86.9	68.2	65.8	70.2
27	84.5	82.1	86.9	68.1	65.7	70.1
26	84.5	82.1	86.9	68	65.5	70
25	84.5	82.1	86.9	67.8	65.4	69.8
24	84.5	82.1	86.9	67.7	65.3	69.7
23	84.5	82.1	86.9	67.6	65.1	69.6
22	84.4	82	86.9	67.5	65	69.5
21	84.4	82	86.8	67.4	64.9	69.4
20	84.4	82	86.8	67.3	64.8	69.3
19	84.4	82	86.8	67.2	64.7	69.3
18	84.4	82	86.8	67.1	64.6	69.2
17	84.4	82	86.8	67	64.5	69.1
16	84.4	81.9	86.8	67	64.4	69.1
15	84.4	81.9	86.8	66.9	64.4	69
14	84.3	81.9	86.8	66.8	64.3	69
13	84.3	81.9	86.8	66.8	64.3	68.9
12	84.3	81.9	86.8	66.8	64.2	68.9
11	84.3	81.9	86.8	66.7	64.2	68.8
10	84.3	81.9	86.8	66.7	64.2	68.8
9	84.3	81.9	86.8	66.6	64.1	68.8
8	84.3	81.9	86.8	66.6	64.1	68.7
7	84.3	81.9	86.8	66.5	64	68.7
6	84.3	81.9	86.8	66.5	64	68.6
5	84.3	81.9	86.8	66.4	63.9	68.5
4	84.3	81.9	86.8	66.3	63.8	68.4
3	84.3	81.9	86.7	66.2	63.6	68.3
2	84.3	81.8	86.7	66	63.5	68.1
1	84.3	81.8	86.7	65.6	63.2	67.7
0	84.1	81.7	86.6	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 Singapore can expect to live to 84.5 years compared to 68.5 in Zimbabwe, rising to 86.7 and 78.3 at 65, and to 90.5 and 86.4 at 80 — higher than the 84.1 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Singapore

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Singapore			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	4.99%	2.55%	7.25%	0.2%	0.07%	0.33%
99	6.71%	3.6%	9.59%	0.31%	0.12%	0.5%
98	8.78%	4.95%	12.4%	0.46%	0.18%	0.73%
97	11.2%	6.62%	15.5%	0.66%	0.27%	1.05%
96	14%	8.64%	19.1%	0.94%	0.4%	1.47%
95	17.1%	11%	22.9%	1.3%	0.59%	2.02%
94	20.5%	13.7%	27%	1.77%	0.83%	2.71%
93	24.2%	16.7%	31.3%	2.36%	1.15%	3.55%
92	28%	20%	35.7%	3.08%	1.57%	4.57%
91	32%	23.6%	40.2%	3.95%	2.09%	5.75%
90	36.1%	27.3%	44.6%	4.99%	2.73%	7.15%
89	40.2%	31.2%	49%	6.18%	3.51%	8.72%
88	44.2%	35.1%	53.2%	7.56%	4.44%	10.5%
87	48.2%	39%	57.2%	9.1%	5.53%	12.4%
86	52%	42.9%	61%	10.8%	6.78%	14.5%
85	55.6%	46.7%	64.5%	12.7%	8.2%	16.8%
84	59.1%	50.4%	67.8%	14.7%	9.78%	19.1%
83	62.4%	54%	70.9%	16.8%	11.5%	21.5%
82	65.5%	57.4%	73.7%	19%	13.4%	24%
81	68.3%	60.6%	76.3%	21.2%	15.4%	26.4%
80	71%	63.6%	78.6%	23.5%	17.5%	28.8%
79	73.5%	66.5%	80.7%	25.9%	19.7%	31.3%
78	75.7%	69.1%	82.6%	28.3%	21.9%	33.8%
77	77.8%	71.6%	84.3%	30.7%	24.3%	36.3%
76	79.8%	74%	85.8%	33.2%	26.6%	38.7%
75	81.5%	76.2%	87.1%	35.6%	29%	41.2%
74	83.2%	78.2%	88.3%	38%	31.4%	43.6%
73	84.6%	80.1%	89.4%	40.4%	33.9%	45.9%
72	86%	81.9%	90.3%	42.8%	36.3%	48.2%
71	87.2%	83.4%	91.2%	45.1%	38.6%	50.4%
70	88.3%	84.9%	91.9%	47.3%	40.9%	52.6%
69	89.3%	86.2%	92.6%	49.5%	43.2%	54.7%
68	90.2%	87.4%	93.2%	51.6%	45.4%	56.7%
67	91%	88.4%	93.8%	53.6%	47.6%	58.6%
66	91.8%	89.4%	94.3%	55.6%	49.7%	60.5%
65	92.4%	90.3%	94.7%	57.6%	51.8%	62.3%
64	93.1%	91.1%	95.2%	59.5%	53.8%	64%
63	93.7%	91.9%	95.6%	61.2%	55.8%	65.7%
62	94.2%	92.6%	95.9%	63%	57.7%	67.2%
61	94.7%	93.2%	96.2%	64.6%	59.5%	68.7%
60	95.1%	93.8%	96.5%	66.2%	61.2%	70.1%
59	95.5%	94.3%	96.8%	67.6%	62.9%	71.4%
58	95.9%	94.8%	97.1%	69.1%	64.5%	72.7%
57	96.3%	95.3%	97.3%	70.4%	66%	73.9%
56	96.6%	95.7%	97.6%	71.7%	67.5%	75%
55	96.9%	96%	97.8%	72.9%	69%	76.1%
54	97.1%	96.4%	98%	74.1%	70.3%	77.2%
53	97.4%	96.7%	98.1%	75.2%	71.7%	78.2%
52	97.6%	97%	98.3%	76.3%	73%	79.1%
51	97.8%	97.2%	98.4%	77.4%	74.2%	80.1%
50	98%	97.4%	98.6%	78.4%	75.4%	81%
49	98.1%	97.6%	98.7%	79.4%	76.6%	81.8%
48	98.3%	97.8%	98.8%	80.3%	77.7%	82.6%
47	98.4%	98%	98.9%	81.2%	78.7%	83.4%
46	98.5%	98.1%	99%	82%	79.7%	84.1%
45	98.6%	98.2%	99%	82.9%	80.7%	84.8%
44	98.7%	98.4%	99.1%	83.6%	81.6%	85.5%
43	98.8%	98.5%	99.2%	84.4%	82.5%	86.1%
42	98.9%	98.6%	99.2%	85.1%	83.3%	86.7%
41	98.9%	98.7%	99.3%	85.8%	84.1%	87.3%
40	99%	98.8%	99.3%	86.4%	84.9%	87.9%
39	99.1%	98.8%	99.3%	87.1%	85.6%	88.4%
38	99.1%	98.9%	99.4%	87.7%	86.3%	89%
37	99.2%	98.9%	99.4%	88.2%	86.9%	89.5%
36	99.2%	99%	99.4%	88.8%	87.5%	89.9%
35	99.2%	99.1%	99.5%	89.3%	88.1%	90.4%
34	99.3%	99.1%	99.5%	89.8%	88.7%	90.8%
33	99.3%	99.1%	99.5%	90.2%	89.2%	91.2%
32	99.3%	99.2%	99.5%	90.7%	89.7%	91.6%
31	99.4%	99.2%	99.5%	91.1%	90.1%	91.9%
30	99.4%	99.3%	99.6%	91.4%	90.6%	92.3%
29	99.4%	99.3%	99.6%	91.8%	91%	92.6%
28	99.5%	99.3%	99.6%	92.1%	91.4%	92.9%
27	99.5%	99.4%	99.6%	92.5%	91.7%	93.2%
26	99.5%	99.4%	99.6%	92.8%	92.1%	93.5%
25	99.5%	99.4%	99.6%	93.1%	92.4%	93.7%
24	99.6%	99.5%	99.7%	93.3%	92.7%	93.9%
23	99.6%	99.5%	99.7%	93.6%	93%	94.2%
22	99.6%	99.5%	99.7%	93.8%	93.3%	94.4%
21	99.6%	99.5%	99.7%	94%	93.5%	94.5%
20	99.6%	99.6%	99.7%	94.2%	93.8%	94.7%
19	99.7%	99.6%	99.7%	94.4%	94%	94.9%
18	99.7%	99.6%	99.7%	94.6%	94.2%	95%
17	99.7%	99.6%	99.7%	94.7%	94.3%	95.1%
16	99.7%	99.7%	99.8%	94.8%	94.5%	95.2%
15	99.7%	99.7%	99.8%	94.9%	94.6%	95.3%
14	99.7%	99.7%	99.8%	95%	94.7%	95.4%
13	99.7%	99.7%	99.8%	95.1%	94.8%	95.5%
12	99.7%	99.7%	99.8%	95.2%	94.8%	95.6%
11	99.8%	99.7%	99.8%	95.3%	94.9%	95.6%
10	99.8%	99.7%	99.8%	95.3%	95%	95.7%
9	99.8%	99.7%	99.8%	95.4%	95.1%	95.8%
8	99.8%	99.7%	99.8%	95.5%	95.1%	95.8%
7	99.8%	99.7%	99.8%	95.6%	95.2%	95.9%
6	99.8%	99.8%	99.8%	95.7%	95.3%	96%
5	99.8%	99.8%	99.8%	95.8%	95.5%	96.1%
4	99.8%	99.8%	99.8%	95.9%	95.6%	96.3%
3	99.8%	99.8%	99.8%	96.2%	95.8%	96.5%
2	99.8%	99.8%	99.8%	96.5%	96.1%	96.8%
1	99.8%	99.8%	99.9%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 95.1% of newborns in Singapore and 66.2% in Zimbabwe are expected to live past 60, 88.3% and 47.3% past 70, 71% and 23.5% past 80, and only 36.1% 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

Singapore

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Singapore			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	27.4%	31.2%	26.3%	35.7%	38.2%	35%
99	25.6%	29.3%	24.5%	34.3%	36.9%	33.6%
98	23.6%	27.2%	22.4%	32.4%	35.2%	31.7%
97	21.7%	25.3%	20.4%	31.1%	33.9%	30.2%
96	19.9%	23.3%	18.6%	29.6%	32.5%	28.7%
95	18.2%	21.4%	16.8%	28.1%	31%	27.1%
94	16.6%	19.7%	15.2%	26.4%	29.5%	25.4%
93	15.1%	18.1%	13.7%	24.9%	27.9%	23.7%
92	13.8%	16.6%	12.4%	23.5%	26.4%	22.2%
91	12.5%	15.1%	11.1%	21.9%	24.9%	20.6%
90	11.3%	13.7%	9.95%	20.9%	23.7%	19.6%
89	10.2%	12.4%	8.88%	19.3%	22.2%	18%
88	9.15%	11.2%	7.9%	18.2%	20.9%	16.8%
87	8.18%	10%	7.02%	16.9%	19.7%	15.6%
86	7.32%	9.04%	6.22%	15.8%	18.5%	14.5%
85	6.55%	8.13%	5.51%	14.7%	17.3%	13.3%
84	5.87%	7.32%	4.87%	13.6%	16.2%	12.3%
83	5.27%	6.58%	4.31%	12.5%	15%	11.2%
82	4.71%	5.91%	3.8%	11.6%	14%	10.2%
81	4.2%	5.31%	3.35%	10.5%	12.9%	9.17%
80	3.75%	4.77%	2.95%	9.89%	12.1%	8.58%
79	3.35%	4.29%	2.6%	9.11%	11.1%	7.87%
78	3%	3.87%	2.28%	8.54%	10.4%	7.38%
77	2.69%	3.5%	2.01%	7.89%	9.57%	6.81%
76	2.42%	3.17%	1.76%	7.37%	8.9%	6.37%
75	2.17%	2.88%	1.54%	6.87%	8.28%	5.94%
74	1.95%	2.61%	1.35%	6.38%	7.68%	5.51%
73	1.75%	2.36%	1.19%	5.92%	7.12%	5.11%
72	1.56%	2.12%	1.05%	5.51%	6.62%	4.76%
71	1.39%	1.9%	0.93%	5.06%	6.09%	4.37%
70	1.24%	1.7%	0.83%	4.75%	5.7%	4.11%
69	1.12%	1.51%	0.74%	4.38%	5.25%	3.78%
68	1%	1.35%	0.66%	4.09%	4.9%	3.54%
67	0.9%	1.21%	0.59%	3.82%	4.56%	3.31%
66	0.82%	1.09%	0.54%	3.58%	4.26%	3.1%
65	0.74%	0.99%	0.49%	3.38%	4.01%	2.93%
64	0.68%	0.9%	0.44%	3.14%	3.74%	2.7%
63	0.62%	0.82%	0.41%	2.92%	3.5%	2.49%
62	0.56%	0.75%	0.37%	2.73%	3.28%	2.31%
61	0.52%	0.68%	0.34%	2.53%	3.04%	2.13%
60	0.47%	0.62%	0.32%	2.37%	2.87%	1.99%
59	0.43%	0.57%	0.29%	2.19%	2.65%	1.85%
58	0.4%	0.52%	0.27%	2.04%	2.48%	1.73%
57	0.36%	0.47%	0.25%	1.91%	2.33%	1.62%
56	0.33%	0.43%	0.23%	1.79%	2.2%	1.53%
55	0.3%	0.39%	0.21%	1.69%	2.09%	1.44%
54	0.27%	0.35%	0.19%	1.6%	1.97%	1.36%
53	0.25%	0.31%	0.18%	1.52%	1.87%	1.29%
52	0.22%	0.28%	0.16%	1.44%	1.78%	1.23%
51	0.2%	0.25%	0.15%	1.36%	1.68%	1.15%
50	0.18%	0.23%	0.13%	1.3%	1.6%	1.1%
49	0.16%	0.2%	0.12%	1.22%	1.5%	1.03%
48	0.14%	0.18%	0.11%	1.16%	1.41%	0.98%
47	0.13%	0.16%	0.1%	1.09%	1.33%	0.92%
46	0.12%	0.15%	0.09%	1.04%	1.25%	0.87%
45	0.11%	0.14%	0.08%	0.99%	1.19%	0.83%
44	0.1%	0.12%	0.07%	0.93%	1.12%	0.78%
43	0.09%	0.11%	0.06%	0.89%	1.06%	0.75%
42	0.08%	0.1%	0.05%	0.84%	1%	0.71%
41	0.07%	0.09%	0.05%	0.8%	0.95%	0.68%
40	0.06%	0.08%	0.04%	0.76%	0.9%	0.65%
39	0.06%	0.07%	0.04%	0.72%	0.85%	0.62%
38	0.05%	0.07%	0.03%	0.68%	0.8%	0.59%
37	0.05%	0.06%	0.03%	0.64%	0.75%	0.55%
36	0.04%	0.05%	0.03%	0.61%	0.71%	0.53%
35	0.04%	0.05%	0.03%	0.57%	0.66%	0.5%
34	0.04%	0.05%	0.02%	0.54%	0.62%	0.47%
33	0.03%	0.04%	0.02%	0.5%	0.58%	0.44%
32	0.03%	0.04%	0.02%	0.47%	0.54%	0.41%
31	0.03%	0.04%	0.02%	0.44%	0.51%	0.39%
30	0.03%	0.04%	0.02%	0.42%	0.48%	0.37%
29	0.03%	0.04%	0.02%	0.4%	0.45%	0.35%
28	0.03%	0.03%	0.02%	0.37%	0.42%	0.33%
27	0.02%	0.03%	0.02%	0.35%	0.4%	0.31%
26	0.02%	0.03%	0.01%	0.33%	0.37%	0.29%
25	0.02%	0.03%	0.01%	0.31%	0.35%	0.26%
24	0.02%	0.03%	0.01%	0.29%	0.33%	0.25%
23	0.02%	0.03%	0.01%	0.27%	0.31%	0.23%
22	0.02%	0.03%	0.01%	0.25%	0.29%	0.21%
21	0.02%	0.03%	0.01%	0.23%	0.27%	0.19%
20	0.02%	0.03%	0.01%	0.21%	0.25%	0.18%
19	0.02%	0.03%	0.01%	0.19%	0.22%	0.16%
18	0.02%	0.02%	0.01%	0.17%	0.2%	0.15%
17	0.02%	0.02%	0.01%	0.15%	0.17%	0.13%
16	0.02%	0.02%	0.01%	0.13%	0.14%	0.12%
15	0.01%	0.02%	0.01%	0.11%	0.12%	0.1%
14	0.01%	0.01%	0.009%	0.1%	0.1%	0.09%
13	0.01%	0.01%	0.008%	0.08%	0.09%	0.08%
12	0.008%	0.01%	0.007%	0.08%	0.08%	0.07%
11	0.007%	0.008%	0.006%	0.07%	0.08%	0.07%
10	0.006%	0.007%	0.005%	0.07%	0.08%	0.07%
9	0.005%	0.006%	0.004%	0.08%	0.08%	0.07%
8	0.005%	0.006%	0.004%	0.08%	0.09%	0.08%
7	0.005%	0.006%	0.004%	0.09%	0.1%	0.09%
6	0.005%	0.006%	0.004%	0.1%	0.11%	0.1%
5	0.006%	0.007%	0.004%	0.12%	0.13%	0.12%
4	0.007%	0.008%	0.006%	0.16%	0.17%	0.16%
3	0.009%	0.01%	0.008%	0.22%	0.22%	0.22%
2	0.01%	0.01%	0.01%	0.32%	0.32%	0.32%
1	0.02%	0.02%	0.02%	0.5%	0.48%	0.52%
0	0.17%	0.19%	0.14%	3.05%	3.4%	2.7%

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

The annual chance of dying is 0.17% in the birth year in Singapore and 3.05% in Zimbabwe, 0.03% vs 0.42% at age 30, 0.47% vs 2.37% at 60, and 3.75% vs 9.89% at 80.

Death rate by age in Singapore vs Zimbabwe

Chart Table

Singapore

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Singapore			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	1,375	708	2,002	24.9	0	53
99	1,718	1,055	2,345	105.4	43.2	168.4
98	2,071	1,349	2,766	147.6	63.5	232.4
97	2,433	1,673	3,170	205	92.4	318
96	2,786	2,015	3,537	277.6	131.3	423
95	3,109	2,358	3,843	366	181.8	548
94	3,402	2,698	4,098	469	244.7	687
93	3,651	3,024	4,291	588	322	843
92	3,852	3,319	4,419	724	414	1,016
91	3,998	3,565	4,473	863	518	1,184
90	4,078	3,743	4,442	1,040	647	1,401
89	4,096	3,860	4,349	1,196	779	1,570
88	4,046	3,920	4,204	1,372	930	1,762
87	3,941	3,923	4,013	1,540	1,088	1,934
86	3,806	3,881	3,793	1,709	1,253	2,102
85	3,646	3,801	3,554	1,858	1,418	2,232
84	3,470	3,689	3,306	1,999	1,583	2,345
83	3,286	3,550	3,053	2,102	1,730	2,403
82	3,084	3,390	2,802	2,197	1,873	2,450
81	2,873	3,214	2,556	2,235	1,982	2,419
80	2,666	3,031	2,319	2,328	2,113	2,474
79	2,465	2,850	2,096	2,358	2,186	2,465
78	2,274	2,675	1,886	2,416	2,272	2,497
77	2,096	2,508	1,689	2,424	2,321	2,470
76	1,927	2,348	1,508	2,444	2,370	2,468
75	1,767	2,194	1,343	2,448	2,404	2,446
74	1,619	2,043	1,196	2,427	2,414	2,401
73	1,480	1,891	1,065	2,393	2,412	2,346
72	1,345	1,738	949	2,356	2,400	2,294
71	1,215	1,586	848	2,281	2,352	2,203
70	1,098	1,439	759	2,250	2,336	2,164
69	996	1,303	682	2,166	2,269	2,069
68	905	1,180	615	2,111	2,224	2,007
67	822	1,071	557	2,050	2,172	1,938
66	749	977	506	1,993	2,121	1,875
65	685	894	462	1,945	2,075	1,824
64	628	821	423	1,866	2,014	1,726
63	578	755	389	1,790	1,952	1,636
62	532	694	359	1,718	1,890	1,553
61	489	638	331	1,632	1,809	1,463
60	450	585	307	1,571	1,756	1,398
59	413	535	284.1	1,481	1,664	1,318
58	379	490	263.2	1,411	1,599	1,257
57	347	447	243.5	1,341	1,537	1,197
56	318	408	224.9	1,284	1,485	1,146
55	290.8	371	207	1,233	1,440	1,097
54	265.1	337	189.9	1,184	1,389	1,052
53	240.5	304	173.4	1,140	1,342	1,009
52	217.2	273.9	157.6	1,100	1,298	971
51	195.5	245.8	142.8	1,050	1,245	925
50	175.7	220.2	128.9	1,018	1,207	892
49	157.8	197.6	116.1	969	1,146	846
48	142.1	178	104.5	929	1,096	806
47	128.5	161.4	94.1	888	1,046	766
46	116.6	147	84.6	850	1,000	731
45	106	134.4	75.9	816	958	702
44	96	122.6	67.8	779	911	669
43	86.6	111.5	60.1	747	871	642
42	77.7	100.6	53	717	834	617
41	69.3	90.3	46.5	685	795	592
40	61.8	80.7	40.9	659	766	571
39	55.2	72.2	36.2	627	725	545
38	49.6	65	32.4	599	691	522
37	45.2	59.1	29.6	568	655	496
36	41.8	54.3	27.4	539	619	473
35	39.1	50.5	25.8	512	586	450
34	36.7	47.3	24.4	481	550	423
33	34.7	44.5	23	453	517	400
32	32.7	41.9	21.6	428	487	379
31	30.7	39.5	20.1	403	458	356
30	28.8	37.2	18.6	385	436	341
29	27.1	35	17.2	363	409	323
28	25.6	33.2	16.1	343	387	303
27	24.4	31.7	15.2	324	365	286.2
26	23.5	30.6	14.6	304	344	267.1
25	22.8	29.8	14.2	286.4	326	248.2
24	22.3	29.2	13.8	268.5	307	231.1
23	21.9	28.8	13.5	251.5	289	214.4
22	21.5	28.5	13.1	234.1	270.1	198.3
21	21	28.1	12.7	216.1	249.9	182.2
20	20.3	27.5	12.1	200.4	229.9	170.6
19	19.4	26.3	11.6	182.4	209.2	155.3
18	18.2	24.5	11.1	164.9	188.9	140.6
17	16.7	22.3	10.7	143.2	161.3	124.9
16	15.1	19.6	10.2	122.8	135.4	110
15	13.3	16.7	9.71	106.1	114.9	97.1
14	11.6	14	8.96	90.9	97.8	83.9
13	9.84	11.6	7.95	80.4	85.9	74.8
12	8.25	9.63	6.8	73.9	79.4	68.4
11	6.9	8.1	5.64	70.9	76.1	65.5
10	5.86	6.99	4.67	70.4	74.5	66.2
9	5.15	6.29	3.97	72.9	76.9	68.8
8	4.79	5.95	3.58	78.6	83.3	73.8
7	4.75	5.96	3.5	87.5	92.4	82.5
6	5.08	6.34	3.77	98.5	103	94
5	5.83	7.13	4.47	116.6	119.9	113.1
4	7.11	8.39	5.79	153.9	157.9	149.8
3	9.12	10.2	7.97	211.7	213.4	209.9
2	12.1	12.7	11.5	308	305	311
1	16.5	15.9	17.1	484	463	505
0	168.8	194.6	141.6	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 Singapore, the most common age of death is 89, compared to 0 in Zimbabwe. The median age of death is 86.5 in Singapore 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 Singapore and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x