Life Expectancy in Malawi vs Singapore (1950-2026)

Life expectancy by current age

Chart Table

Malawi

Male

Female

Singapore

Male

Female

1x

Current age, years	Total life expectancy, years
	Malawi			Singapore
	Average	Male	Female	Average	Male	Female
100	102.1	101.9	102.2	102.7	102.3	102.9
99	101.2	101	101.3	101.9	101.5	102.1
98	100.3	100.1	100.4	101.1	100.7	101.3
97	99.4	99.2	99.5	100.3	99.9	100.5
96	98.6	98.4	98.6	99.6	99.1	99.8
95	97.7	97.5	97.8	98.8	98.3	99
94	96.9	96.6	97	98.1	97.6	98.3
93	96	95.8	96.1	97.4	96.8	97.7
92	95.2	94.9	95.3	96.7	96.1	97
91	94.4	94.1	94.5	96.1	95.4	96.4
90	93.6	93.2	93.8	95.5	94.7	95.8
89	92.8	92.4	93	94.8	94.1	95.3
88	92.1	91.6	92.2	94.3	93.5	94.7
87	91.3	90.8	91.5	93.7	92.9	94.2
86	90.6	90.1	90.8	93.2	92.3	93.7
85	89.8	89.3	90.1	92.7	91.7	93.3
84	89.1	88.5	89.4	92.2	91.2	92.9
83	88.4	87.8	88.8	91.7	90.7	92.5
82	87.8	87.1	88.2	91.3	90.2	92.1
81	87.2	86.4	87.6	90.9	89.8	91.7
80	86.5	85.8	87	90.5	89.3	91.4
79	85.9	85.1	86.4	90.1	88.9	91.1
78	85.3	84.5	85.9	89.8	88.5	90.8
77	84.8	83.8	85.3	89.5	88.1	90.5
76	84.2	83.2	84.8	89.1	87.7	90.3
75	83.6	82.7	84.3	88.8	87.4	90.1
74	83.1	82.1	83.9	88.6	87.1	89.8
73	82.6	81.5	83.4	88.3	86.7	89.7
72	82.1	81	83	88.1	86.4	89.5
71	81.7	80.5	82.5	87.8	86.1	89.3
70	81.2	80	82.1	87.6	85.9	89.2
69	80.8	79.5	81.8	87.4	85.6	89
68	80.3	79	81.4	87.2	85.4	88.9
67	79.9	78.6	81	87	85.2	88.7
66	79.5	78.1	80.7	86.9	85	88.6
65	79.2	77.7	80.4	86.7	84.8	88.5
64	78.8	77.3	80	86.6	84.6	88.4
63	78.5	76.9	79.8	86.4	84.4	88.3
62	78.1	76.5	79.5	86.3	84.3	88.2
61	77.8	76.1	79.2	86.2	84.1	88.1
60	77.5	75.8	78.9	86	84	88
59	77.2	75.4	78.7	85.9	83.8	87.9
58	76.9	75.1	78.5	85.8	83.7	87.9
57	76.7	74.8	78.2	85.7	83.6	87.8
56	76.4	74.5	78	85.6	83.5	87.7
55	76.1	74.2	77.8	85.5	83.3	87.6
54	75.9	73.9	77.6	85.4	83.2	87.6
53	75.6	73.6	77.4	85.4	83.2	87.5
52	75.4	73.3	77.3	85.3	83.1	87.5
51	75.2	73	77.1	85.2	83	87.4
50	75	72.8	76.9	85.2	82.9	87.4
49	74.8	72.5	76.7	85.1	82.8	87.3
48	74.6	72.3	76.6	85	82.8	87.3
47	74.4	72.1	76.5	85	82.7	87.2
46	74.2	71.9	76.3	85	82.7	87.2
45	74	71.7	76.2	84.9	82.6	87.2
44	73.8	71.5	76.1	84.9	82.6	87.1
43	73.7	71.3	75.9	84.8	82.5	87.1
42	73.5	71.1	75.8	84.8	82.5	87.1
41	73.4	70.9	75.7	84.8	82.4	87.1
40	73.3	70.7	75.6	84.7	82.4	87.1
39	73.1	70.6	75.5	84.7	82.4	87
38	73	70.4	75.4	84.7	82.4	87
37	72.9	70.2	75.3	84.7	82.3	87
36	72.7	70.1	75.2	84.7	82.3	87
35	72.6	69.9	75.1	84.6	82.3	87
34	72.5	69.8	75	84.6	82.3	87
33	72.4	69.7	75	84.6	82.2	87
32	72.3	69.5	74.9	84.6	82.2	86.9
31	72.2	69.4	74.8	84.6	82.2	86.9
30	72.1	69.3	74.7	84.5	82.2	86.9
29	72	69.2	74.7	84.5	82.2	86.9
28	71.9	69.1	74.6	84.5	82.1	86.9
27	71.8	68.9	74.5	84.5	82.1	86.9
26	71.7	68.8	74.5	84.5	82.1	86.9
25	71.6	68.7	74.4	84.5	82.1	86.9
24	71.6	68.6	74.3	84.5	82.1	86.9
23	71.5	68.5	74.3	84.5	82.1	86.9
22	71.4	68.4	74.2	84.4	82	86.9
21	71.3	68.3	74.2	84.4	82	86.8
20	71.2	68.2	74.1	84.4	82	86.8
19	71.2	68.1	74.1	84.4	82	86.8
18	71.1	68	74	84.4	82	86.8
17	71	68	74	84.4	82	86.8
16	71	67.9	73.9	84.4	81.9	86.8
15	70.9	67.8	73.9	84.4	81.9	86.8
14	70.9	67.8	73.9	84.3	81.9	86.8
13	70.9	67.8	73.8	84.3	81.9	86.8
12	70.8	67.7	73.8	84.3	81.9	86.8
11	70.8	67.7	73.8	84.3	81.9	86.8
10	70.7	67.6	73.7	84.3	81.9	86.8
9	70.7	67.6	73.7	84.3	81.9	86.8
8	70.7	67.5	73.6	84.3	81.9	86.8
7	70.6	67.5	73.6	84.3	81.9	86.8
6	70.5	67.4	73.5	84.3	81.9	86.8
5	70.5	67.4	73.5	84.3	81.9	86.8
4	70.4	67.3	73.4	84.3	81.9	86.8
3	70.3	67.1	73.3	84.3	81.9	86.7
2	70.1	67	73.1	84.3	81.8	86.7
1	69.8	66.7	72.9	84.3	81.8	86.7
0	67.9	64.6	71.1	84.1	81.7	86.6

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 Malawi can expect to live to 72.1 years compared to 84.5 in Singapore, rising to 79.2 and 86.7 at 65, and to 86.5 and 90.5 at 80 — higher than the 67.9 and 84.1 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Malawi

Male

Female

Singapore

Male

Female

1x

Age	Survival probability
	Malawi			Singapore
	Average	Male	Female	Average	Male	Female
100	0.28%	0.11%	0.45%	4.99%	2.55%	7.25%
99	0.42%	0.17%	0.68%	6.71%	3.6%	9.59%
98	0.63%	0.26%	1%	8.78%	4.95%	12.4%
97	0.91%	0.4%	1.43%	11.2%	6.62%	15.5%
96	1.29%	0.58%	2.01%	14%	8.64%	19.1%
95	1.8%	0.84%	2.76%	17.1%	11%	22.9%
94	2.44%	1.19%	3.7%	20.5%	13.7%	27%
93	3.24%	1.64%	4.85%	24.2%	16.7%	31.3%
92	4.23%	2.22%	6.24%	28%	20%	35.7%
91	5.39%	2.93%	7.85%	32%	23.6%	40.2%
90	6.79%	3.82%	9.75%	36.1%	27.3%	44.6%
89	8.39%	4.88%	11.9%	40.2%	31.2%	49%
88	10.2%	6.14%	14.2%	44.2%	35.1%	53.2%
87	12.2%	7.6%	16.8%	48.2%	39%	57.2%
86	14.5%	9.26%	19.6%	52%	42.9%	61%
85	16.9%	11.1%	22.5%	55.6%	46.7%	64.5%
84	19.5%	13.2%	25.6%	59.1%	50.4%	67.8%
83	22.1%	15.4%	28.7%	62.4%	54%	70.9%
82	24.9%	17.8%	31.9%	65.5%	57.4%	73.7%
81	27.7%	20.2%	35%	68.3%	60.6%	76.3%
80	30.6%	22.8%	38.2%	71%	63.6%	78.6%
79	33.5%	25.5%	41.3%	73.5%	66.5%	80.7%
78	36.4%	28.2%	44.4%	75.7%	69.1%	82.6%
77	39.3%	31%	47.4%	77.8%	71.6%	84.3%
76	42.1%	33.7%	50.3%	79.8%	74%	85.8%
75	44.9%	36.5%	53.1%	81.5%	76.2%	87.1%
74	47.7%	39.2%	55.8%	83.2%	78.2%	88.3%
73	50.3%	41.9%	58.4%	84.6%	80.1%	89.4%
72	52.9%	44.6%	60.9%	86%	81.9%	90.3%
71	55.3%	47.1%	63.2%	87.2%	83.4%	91.2%
70	57.7%	49.6%	65.4%	88.3%	84.9%	91.9%
69	59.9%	52%	67.4%	89.3%	86.2%	92.6%
68	62.1%	54.3%	69.4%	90.2%	87.4%	93.2%
67	64.1%	56.5%	71.2%	91%	88.4%	93.8%
66	66%	58.7%	72.9%	91.8%	89.4%	94.3%
65	67.8%	60.7%	74.5%	92.4%	90.3%	94.7%
64	69.5%	62.7%	76%	93.1%	91.1%	95.2%
63	71.1%	64.6%	77.4%	93.7%	91.9%	95.6%
62	72.7%	66.4%	78.7%	94.2%	92.6%	95.9%
61	74.1%	68.1%	79.9%	94.7%	93.2%	96.2%
60	75.4%	69.7%	81%	95.1%	93.8%	96.5%
59	76.6%	71.2%	82%	95.5%	94.3%	96.8%
58	77.8%	72.6%	83%	95.9%	94.8%	97.1%
57	78.9%	74%	83.8%	96.3%	95.3%	97.3%
56	80%	75.2%	84.7%	96.6%	95.7%	97.6%
55	81%	76.5%	85.5%	96.9%	96%	97.8%
54	81.9%	77.6%	86.2%	97.1%	96.4%	98%
53	82.8%	78.7%	86.9%	97.4%	96.7%	98.1%
52	83.7%	79.8%	87.5%	97.6%	97%	98.3%
51	84.5%	80.7%	88.1%	97.8%	97.2%	98.4%
50	85.2%	81.7%	88.7%	98%	97.4%	98.6%
49	85.9%	82.5%	89.2%	98.1%	97.6%	98.7%
48	86.6%	83.3%	89.7%	98.3%	97.8%	98.8%
47	87.2%	84.1%	90.1%	98.4%	98%	98.9%
46	87.7%	84.8%	90.5%	98.5%	98.1%	99%
45	88.3%	85.5%	90.9%	98.6%	98.2%	99%
44	88.8%	86.1%	91.3%	98.7%	98.4%	99.1%
43	89.2%	86.7%	91.6%	98.8%	98.5%	99.2%
42	89.7%	87.3%	92%	98.9%	98.6%	99.2%
41	90.1%	87.8%	92.3%	98.9%	98.7%	99.3%
40	90.5%	88.3%	92.5%	99%	98.8%	99.3%
39	90.8%	88.8%	92.8%	99.1%	98.8%	99.3%
38	91.2%	89.3%	93.1%	99.1%	98.9%	99.4%
37	91.5%	89.7%	93.3%	99.2%	98.9%	99.4%
36	91.8%	90.1%	93.5%	99.2%	99%	99.4%
35	92.1%	90.5%	93.7%	99.2%	99.1%	99.5%
34	92.4%	90.8%	93.9%	99.3%	99.1%	99.5%
33	92.6%	91.1%	94.1%	99.3%	99.1%	99.5%
32	92.9%	91.5%	94.3%	99.3%	99.2%	99.5%
31	93.1%	91.8%	94.4%	99.4%	99.2%	99.5%
30	93.3%	92.1%	94.6%	99.4%	99.3%	99.6%
29	93.5%	92.3%	94.7%	99.4%	99.3%	99.6%
28	93.7%	92.6%	94.9%	99.5%	99.3%	99.6%
27	93.9%	92.9%	95%	99.5%	99.4%	99.6%
26	94.1%	93.1%	95.1%	99.5%	99.4%	99.6%
25	94.3%	93.3%	95.2%	99.5%	99.4%	99.6%
24	94.5%	93.6%	95.4%	99.6%	99.5%	99.7%
23	94.6%	93.8%	95.5%	99.6%	99.5%	99.7%
22	94.8%	94%	95.6%	99.6%	99.5%	99.7%
21	94.9%	94.2%	95.7%	99.6%	99.5%	99.7%
20	95.1%	94.4%	95.8%	99.6%	99.6%	99.7%
19	95.2%	94.6%	95.9%	99.7%	99.6%	99.7%
18	95.3%	94.7%	96%	99.7%	99.6%	99.7%
17	95.4%	94.9%	96%	99.7%	99.6%	99.7%
16	95.5%	95%	96.1%	99.7%	99.7%	99.8%
15	95.6%	95.1%	96.2%	99.7%	99.7%	99.8%
14	95.7%	95.2%	96.2%	99.7%	99.7%	99.8%
13	95.8%	95.2%	96.3%	99.7%	99.7%	99.8%
12	95.8%	95.3%	96.3%	99.7%	99.7%	99.8%
11	95.9%	95.4%	96.4%	99.8%	99.7%	99.8%
10	95.9%	95.4%	96.4%	99.8%	99.7%	99.8%
9	96%	95.5%	96.5%	99.8%	99.7%	99.8%
8	96.1%	95.6%	96.5%	99.8%	99.7%	99.8%
7	96.1%	95.7%	96.6%	99.8%	99.7%	99.8%
6	96.2%	95.8%	96.7%	99.8%	99.8%	99.8%
5	96.3%	95.9%	96.8%	99.8%	99.8%	99.8%
4	96.5%	96%	96.9%	99.8%	99.8%	99.8%
3	96.6%	96.2%	97%	99.8%	99.8%	99.8%
2	96.9%	96.5%	97.3%	99.8%	99.8%	99.8%
1	97.2%	96.9%	97.6%	99.8%	99.8%	99.9%

This chart shows the odds of living to each age from birth. 75.4% of newborns in Malawi and 95.1% in Singapore are expected to live past 60, 57.7% and 88.3% past 70, 30.6% and 71% past 80, and only 6.79% and 36.1% past 90.

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

Odds of dying at each age

Chart Table

Malawi

Male

Female

Singapore

Male

Female

1x

Age	Probability of dying
	Malawi			Singapore
	Average	Male	Female	Average	Male	Female
100	35.9%	38.2%	35.3%	27.4%	31.2%	26.3%
99	34.4%	36.8%	33.8%	25.6%	29.3%	24.5%
98	32.6%	35.1%	31.9%	23.6%	27.2%	22.4%
97	31.2%	33.7%	30.4%	21.7%	25.3%	20.4%
96	29.7%	32.3%	28.8%	19.9%	23.3%	18.6%
95	28.1%	30.8%	27.2%	18.2%	21.4%	16.8%
94	26.3%	29.1%	25.4%	16.6%	19.7%	15.2%
93	24.7%	27.5%	23.7%	15.1%	18.1%	13.7%
92	23.3%	26%	22.2%	13.8%	16.6%	12.4%
91	21.6%	24.4%	20.5%	12.5%	15.1%	11.1%
90	20.6%	23.3%	19.5%	11.3%	13.7%	9.95%
89	19%	21.7%	17.8%	10.2%	12.4%	8.88%
88	17.8%	20.5%	16.6%	9.15%	11.2%	7.9%
87	16.6%	19.2%	15.3%	8.18%	10%	7.02%
86	15.4%	18%	14.2%	7.32%	9.04%	6.22%
85	14.3%	16.7%	13.1%	6.55%	8.13%	5.51%
84	13.3%	15.6%	12%	5.87%	7.32%	4.87%
83	12.1%	14.4%	10.9%	5.27%	6.58%	4.31%
82	11.1%	13.3%	9.93%	4.71%	5.91%	3.8%
81	10.1%	12.1%	8.87%	4.2%	5.31%	3.35%
80	9.44%	11.4%	8.27%	3.75%	4.77%	2.95%
79	8.65%	10.4%	7.55%	3.35%	4.29%	2.6%
78	8.01%	9.69%	6.95%	3%	3.87%	2.28%
77	7.31%	8.88%	6.31%	2.69%	3.5%	2.01%
76	6.76%	8.21%	5.8%	2.42%	3.17%	1.76%
75	6.27%	7.59%	5.34%	2.17%	2.88%	1.54%
74	5.75%	6.98%	4.86%	1.95%	2.61%	1.35%
73	5.28%	6.42%	4.43%	1.75%	2.36%	1.19%
72	4.86%	5.92%	4.05%	1.56%	2.12%	1.05%
71	4.4%	5.38%	3.63%	1.39%	1.9%	0.93%
70	4.11%	5.03%	3.39%	1.24%	1.7%	0.83%
69	3.72%	4.59%	3.03%	1.12%	1.51%	0.74%
68	3.43%	4.25%	2.78%	1%	1.35%	0.66%
67	3.15%	3.93%	2.54%	0.9%	1.21%	0.59%
66	2.9%	3.64%	2.33%	0.82%	1.09%	0.54%
65	2.7%	3.4%	2.17%	0.74%	0.99%	0.49%
64	2.47%	3.15%	1.97%	0.68%	0.9%	0.44%
63	2.27%	2.92%	1.8%	0.62%	0.82%	0.41%
62	2.09%	2.7%	1.65%	0.56%	0.75%	0.37%
61	1.9%	2.48%	1.49%	0.52%	0.68%	0.34%
60	1.77%	2.32%	1.39%	0.47%	0.62%	0.32%
59	1.62%	2.12%	1.25%	0.43%	0.57%	0.29%
58	1.5%	1.97%	1.15%	0.4%	0.52%	0.27%
57	1.4%	1.83%	1.06%	0.36%	0.47%	0.25%
56	1.31%	1.7%	0.98%	0.33%	0.43%	0.23%
55	1.23%	1.59%	0.91%	0.3%	0.39%	0.21%
54	1.16%	1.49%	0.85%	0.27%	0.35%	0.19%
53	1.09%	1.39%	0.79%	0.25%	0.31%	0.18%
52	1.02%	1.3%	0.74%	0.22%	0.28%	0.16%
51	0.94%	1.21%	0.67%	0.2%	0.25%	0.15%
50	0.89%	1.14%	0.63%	0.18%	0.23%	0.13%
49	0.82%	1.05%	0.58%	0.16%	0.2%	0.12%
48	0.76%	0.98%	0.54%	0.14%	0.18%	0.11%
47	0.7%	0.91%	0.5%	0.13%	0.16%	0.1%
46	0.65%	0.84%	0.46%	0.12%	0.15%	0.09%
45	0.6%	0.79%	0.43%	0.11%	0.14%	0.08%
44	0.56%	0.74%	0.4%	0.1%	0.12%	0.07%
43	0.52%	0.69%	0.37%	0.09%	0.11%	0.06%
42	0.49%	0.65%	0.35%	0.08%	0.1%	0.05%
41	0.45%	0.6%	0.33%	0.07%	0.09%	0.05%
40	0.43%	0.57%	0.31%	0.06%	0.08%	0.04%
39	0.4%	0.53%	0.29%	0.06%	0.07%	0.04%
38	0.38%	0.5%	0.27%	0.05%	0.07%	0.03%
37	0.35%	0.47%	0.25%	0.05%	0.06%	0.03%
36	0.33%	0.44%	0.23%	0.04%	0.05%	0.03%
35	0.31%	0.42%	0.22%	0.04%	0.05%	0.03%
34	0.29%	0.39%	0.21%	0.04%	0.05%	0.02%
33	0.28%	0.37%	0.19%	0.03%	0.04%	0.02%
32	0.26%	0.35%	0.18%	0.03%	0.04%	0.02%
31	0.25%	0.33%	0.17%	0.03%	0.04%	0.02%
30	0.24%	0.32%	0.16%	0.03%	0.04%	0.02%
29	0.23%	0.3%	0.15%	0.03%	0.04%	0.02%
28	0.22%	0.29%	0.15%	0.03%	0.03%	0.02%
27	0.21%	0.27%	0.14%	0.02%	0.03%	0.02%
26	0.2%	0.26%	0.13%	0.02%	0.03%	0.01%
25	0.19%	0.25%	0.13%	0.02%	0.03%	0.01%
24	0.18%	0.24%	0.12%	0.02%	0.03%	0.01%
23	0.18%	0.24%	0.12%	0.02%	0.03%	0.01%
22	0.17%	0.23%	0.11%	0.02%	0.03%	0.01%
21	0.16%	0.21%	0.11%	0.02%	0.03%	0.01%
20	0.15%	0.2%	0.1%	0.02%	0.03%	0.01%
19	0.14%	0.19%	0.1%	0.02%	0.03%	0.01%
18	0.13%	0.17%	0.09%	0.02%	0.02%	0.01%
17	0.11%	0.15%	0.08%	0.02%	0.02%	0.01%
16	0.1%	0.12%	0.08%	0.02%	0.02%	0.01%
15	0.09%	0.1%	0.07%	0.01%	0.02%	0.01%
14	0.07%	0.09%	0.06%	0.01%	0.01%	0.009%
13	0.07%	0.08%	0.06%	0.01%	0.01%	0.008%
12	0.06%	0.07%	0.05%	0.008%	0.01%	0.007%
11	0.06%	0.07%	0.05%	0.007%	0.008%	0.006%
10	0.06%	0.07%	0.05%	0.006%	0.007%	0.005%
9	0.07%	0.07%	0.06%	0.005%	0.006%	0.004%
8	0.07%	0.08%	0.06%	0.005%	0.006%	0.004%
7	0.08%	0.09%	0.07%	0.005%	0.006%	0.004%
6	0.09%	0.1%	0.08%	0.005%	0.006%	0.004%
5	0.1%	0.11%	0.09%	0.006%	0.007%	0.004%
4	0.13%	0.14%	0.12%	0.007%	0.008%	0.006%
3	0.17%	0.19%	0.16%	0.009%	0.01%	0.008%
2	0.25%	0.27%	0.22%	0.01%	0.01%	0.01%
1	0.39%	0.42%	0.36%	0.02%	0.02%	0.02%
0	2.76%	3.13%	2.38%	0.17%	0.19%	0.14%

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

The annual chance of dying is 2.76% in the birth year in Malawi and 0.17% in Singapore, 0.24% vs 0.03% at age 30, 1.77% vs 0.47% at 60, and 9.44% vs 3.75% at 80.

Death rate by age in Malawi vs Singapore

Chart Table

Malawi

Male

Female

Singapore

Male

Female

1x

Age	Death rate
	Malawi			Singapore
	Total	Male	Female	Total	Male	Female
100	34.7	0.008	71	1,375	708	2,002
99	145.2	62.6	229.1	1,718	1,055	2,345
98	204.3	91.9	318	2,071	1,349	2,766
97	283.6	133.3	435	2,433	1,673	3,170
96	384	188.4	580	2,786	2,015	3,537
95	505	259.5	751	3,109	2,358	3,843
94	643	345	939	3,402	2,698	4,098
93	802	451	1,153	3,651	3,024	4,291
92	983	576	1,387	3,852	3,319	4,419
91	1,166	714	1,612	3,998	3,565	4,473
90	1,399	890	1,900	4,078	3,743	4,442
89	1,594	1,061	2,117	4,096	3,860	4,349
88	1,819	1,259	2,365	4,046	3,920	4,204
87	2,026	1,457	2,578	3,941	3,923	4,013
86	2,231	1,664	2,778	3,806	3,881	3,793
85	2,412	1,861	2,944	3,646	3,801	3,554
84	2,577	2,061	3,073	3,470	3,689	3,306
83	2,684	2,217	3,131	3,286	3,550	3,053
82	2,777	2,368	3,168	3,084	3,390	2,802
81	2,788	2,455	3,104	2,873	3,214	2,556
80	2,887	2,601	3,158	2,666	3,031	2,319
79	2,894	2,661	3,115	2,465	2,850	2,096
78	2,915	2,734	3,085	2,274	2,675	1,886
77	2,869	2,749	2,989	2,096	2,508	1,689
76	2,847	2,770	2,916	1,927	2,348	1,508
75	2,815	2,769	2,834	1,767	2,194	1,343
74	2,739	2,737	2,711	1,619	2,043	1,196
73	2,655	2,691	2,586	1,480	1,891	1,065
72	2,572	2,639	2,467	1,345	1,738	949
71	2,433	2,537	2,293	1,215	1,586	848
70	2,371	2,494	2,214	1,098	1,439	759
69	2,226	2,386	2,040	996	1,303	682
68	2,127	2,309	1,930	905	1,180	615
67	2,016	2,222	1,808	822	1,071	557
66	1,912	2,137	1,699	749	977	506
65	1,828	2,067	1,615	685	894	462
64	1,716	1,973	1,499	628	821	423
63	1,612	1,883	1,395	578	755	389
62	1,516	1,794	1,300	532	694	359
61	1,405	1,687	1,188	489	638	331
60	1,338	1,616	1,125	450	585	307
59	1,239	1,510	1,025	413	535	284.1
58	1,171	1,430	958	379	490	263.2
57	1,102	1,350	887	347	447	243.5
56	1,048	1,282	833	318	408	224.9
55	996	1,219	778	290.8	371	207
54	949	1,157	731	265.1	337	189.9
53	900	1,096	684	240.5	304	173.4
52	855	1,040	645	217.2	273.9	157.6
51	798	975	592	195.5	245.8	142.8
50	759	929	563	175.7	220.2	128.9
49	702	865	517	157.8	197.6	116.1
48	655	813	482	142.1	178	104.5
47	609	762	446	128.5	161.4	94.1
46	568	716	416	116.6	147	84.6
45	533	677	392	106	134.4	75.9
44	496	634	365	96	122.6	67.8
43	465	598	343	86.6	111.5	60.1
42	438	566	324	77.7	100.6	53
41	408	530	299.9	69.3	90.3	46.5
40	388	506	285.2	61.8	80.7	40.9
39	363	474	265.1	55.2	72.2	36.2
38	343	449	249.3	49.6	65	32.4
37	322	423	232	45.2	59.1	29.6
36	304	399	218.8	41.8	54.3	27.4
35	288.1	378	205.9	39.1	50.5	25.8
34	271.5	356	192.6	36.7	47.3	24.4
33	257	337	181.7	34.7	44.5	23
32	244.2	320	171.7	32.7	41.9	21.6
31	230.4	302	160.6	30.7	39.5	20.1
30	222	290.7	154.7	28.8	37.2	18.6
29	210.9	276.4	146.2	27.1	35	17.2
28	201.9	265	139.1	25.6	33.2	16.1
27	193.4	254.5	132.5	24.4	31.7	15.2
26	185.6	245.1	126.3	23.5	30.6	14.6
25	178.7	237.2	120.4	22.8	29.8	14.2
24	172.2	229	115.6	22.3	29.2	13.8
23	165.6	221	110.5	21.9	28.8	13.5
22	158.7	211.8	105.8	21.5	28.5	13.1
21	151	201	101.2	21	28.1	12.7
20	143.1	189.1	97.4	20.3	27.5	12.1
19	133.8	175.4	92.3	19.4	26.3	11.6
18	123.3	160.2	86.6	18.2	24.5	11.1
17	108.6	137.6	79.6	16.7	22.3	10.7
16	94.9	117	72.7	15.1	19.6	10.2
15	82	98.8	65.2	13.3	16.7	9.71
14	71.7	85	58.4	11.6	14	8.96
13	64.5	75.3	53.7	9.84	11.6	7.95
12	60.4	70.1	50.6	8.25	9.63	6.8
11	59	68.1	49.8	6.9	8.1	5.64
10	59.7	68.2	51.1	5.86	6.99	4.67
9	62.8	71.3	54.1	5.15	6.29	3.97
8	68.3	77.3	59.2	4.79	5.95	3.58
7	76.3	85.7	66.7	4.75	5.96	3.5
6	85.9	95.4	76.4	5.08	6.34	3.77
5	100.2	110	90.4	5.83	7.13	4.47
4	126.8	139.2	114.2	7.11	8.39	5.79
3	168.3	184.6	151.7	9.12	10.2	7.97
2	237.5	258.9	215.8	12.1	12.7	11.5
1	379	404	353	16.5	15.9	17.1
0	2,759	3,129	2,385	168.8	194.6	141.6

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 Malawi, the most common age of death is 78, compared to 89 in Singapore. The median age of death is 73.1 in Malawi and 86.5 in Singapore, 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 Malawi and Singapore more than their death rates.

Life expectancy in other countries

+ -

1x