Life Expectancy in Denmark vs Malawi (1950-2026)

Life expectancy by current age

Chart Table

Denmark

Male

Female

Malawi

Male

Female

1x

Current age, years	Total life expectancy, years
	Denmark			Malawi
	Average	Male	Female	Average	Male	Female
100	102.1	101.8	102.2	102.1	101.9	102.2
99	101.2	100.9	101.3	101.2	101	101.3
98	100.4	100.1	100.5	100.3	100.1	100.4
97	99.6	99.2	99.7	99.4	99.2	99.5
96	98.8	98.4	98.9	98.6	98.4	98.6
95	98	97.6	98.1	97.7	97.5	97.8
94	97.2	96.8	97.4	96.9	96.6	97
93	96.5	96	96.7	96	95.8	96.1
92	95.8	95.3	96	95.2	94.9	95.3
91	95.1	94.6	95.4	94.4	94.1	94.5
90	94.4	93.9	94.7	93.6	93.2	93.8
89	93.8	93.2	94.2	92.8	92.4	93
88	93.2	92.6	93.6	92.1	91.6	92.2
87	92.6	92	93.1	91.3	90.8	91.5
86	92.1	91.4	92.5	90.6	90.1	90.8
85	91.6	90.9	92.1	89.8	89.3	90.1
84	91.1	90.3	91.6	89.1	88.5	89.4
83	90.6	89.8	91.2	88.4	87.8	88.8
82	90.2	89.4	90.8	87.8	87.1	88.2
81	89.7	88.9	90.4	87.2	86.4	87.6
80	89.4	88.5	90	86.5	85.8	87
79	89	88.1	89.7	85.9	85.1	86.4
78	88.7	87.7	89.4	85.3	84.5	85.9
77	88.3	87.4	89.1	84.8	83.8	85.3
76	88	87.1	88.8	84.2	83.2	84.8
75	87.7	86.7	88.6	83.6	82.7	84.3
74	87.4	86.4	88.3	83.1	82.1	83.9
73	87.2	86.1	88.1	82.6	81.5	83.4
72	86.9	85.8	87.9	82.1	81	83
71	86.7	85.6	87.7	81.7	80.5	82.5
70	86.4	85.3	87.5	81.2	80	82.1
69	86.2	85	87.3	80.8	79.5	81.8
68	86	84.8	87.1	80.3	79	81.4
67	85.8	84.5	87	79.9	78.6	81
66	85.6	84.3	86.8	79.5	78.1	80.7
65	85.4	84.1	86.6	79.2	77.7	80.4
64	85.2	83.9	86.5	78.8	77.3	80
63	85	83.7	86.3	78.5	76.9	79.8
62	84.8	83.5	86.2	78.1	76.5	79.5
61	84.7	83.3	86	77.8	76.1	79.2
60	84.5	83.1	85.9	77.5	75.8	78.9
59	84.4	82.9	85.8	77.2	75.4	78.7
58	84.3	82.8	85.7	76.9	75.1	78.5
57	84.1	82.6	85.6	76.7	74.8	78.2
56	84	82.5	85.5	76.4	74.5	78
55	83.9	82.4	85.4	76.1	74.2	77.8
54	83.8	82.3	85.3	75.9	73.9	77.6
53	83.7	82.2	85.3	75.6	73.6	77.4
52	83.6	82.1	85.2	75.4	73.3	77.3
51	83.6	82	85.1	75.2	73	77.1
50	83.5	81.9	85.1	75	72.8	76.9
49	83.4	81.8	85	74.8	72.5	76.7
48	83.4	81.8	85	74.6	72.3	76.6
47	83.3	81.7	84.9	74.4	72.1	76.5
46	83.3	81.6	84.9	74.2	71.9	76.3
45	83.2	81.6	84.9	74	71.7	76.2
44	83.2	81.5	84.8	73.8	71.5	76.1
43	83.2	81.5	84.8	73.7	71.3	75.9
42	83.1	81.5	84.8	73.5	71.1	75.8
41	83.1	81.4	84.8	73.4	70.9	75.7
40	83.1	81.4	84.7	73.3	70.7	75.6
39	83	81.4	84.7	73.1	70.6	75.5
38	83	81.3	84.7	73	70.4	75.4
37	83	81.3	84.7	72.9	70.2	75.3
36	83	81.3	84.7	72.7	70.1	75.2
35	83	81.2	84.6	72.6	69.9	75.1
34	82.9	81.2	84.6	72.5	69.8	75
33	82.9	81.2	84.6	72.4	69.7	75
32	82.9	81.2	84.6	72.3	69.5	74.9
31	82.9	81.2	84.6	72.2	69.4	74.8
30	82.9	81.1	84.6	72.1	69.3	74.7
29	82.8	81.1	84.6	72	69.2	74.7
28	82.8	81.1	84.6	71.9	69.1	74.6
27	82.8	81.1	84.5	71.8	68.9	74.5
26	82.8	81.1	84.5	71.7	68.8	74.5
25	82.8	81	84.5	71.6	68.7	74.4
24	82.8	81	84.5	71.6	68.6	74.3
23	82.8	81	84.5	71.5	68.5	74.3
22	82.7	81	84.5	71.4	68.4	74.2
21	82.7	81	84.5	71.3	68.3	74.2
20	82.7	80.9	84.5	71.2	68.2	74.1
19	82.7	80.9	84.5	71.2	68.1	74.1
18	82.7	80.9	84.5	71.1	68	74
17	82.7	80.9	84.5	71	68	74
16	82.7	80.9	84.5	71	67.9	73.9
15	82.7	80.9	84.5	70.9	67.8	73.9
14	82.7	80.9	84.5	70.9	67.8	73.9
13	82.7	80.9	84.5	70.9	67.8	73.8
12	82.7	80.9	84.4	70.8	67.7	73.8
11	82.7	80.9	84.4	70.8	67.7	73.8
10	82.7	80.9	84.4	70.7	67.6	73.7
9	82.7	80.9	84.4	70.7	67.6	73.7
8	82.7	80.9	84.4	70.7	67.5	73.6
7	82.7	80.9	84.4	70.6	67.5	73.6
6	82.7	80.9	84.4	70.5	67.4	73.5
5	82.6	80.9	84.4	70.5	67.4	73.5
4	82.6	80.8	84.4	70.4	67.3	73.4
3	82.6	80.8	84.4	70.3	67.1	73.3
2	82.6	80.8	84.4	70.1	67	73.1
1	82.6	80.8	84.4	69.8	66.7	72.9
0	82.4	80.6	84.2	67.9	64.6	71.1

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 Denmark can expect to live to 82.9 years compared to 72.1 in Malawi, rising to 85.4 and 79.2 at 65, and to 89.4 and 86.5 at 80 — higher than the 82.4 and 67.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Denmark

Male

Female

Malawi

Male

Female

1x

Age	Survival probability
	Denmark			Malawi
	Average	Male	Female	Average	Male	Female
100	2.06%	0.96%	3.02%	0.28%	0.11%	0.45%
99	3.07%	1.54%	4.43%	0.42%	0.17%	0.68%
98	4.43%	2.39%	6.26%	0.63%	0.26%	1%
97	6.18%	3.55%	8.57%	0.91%	0.4%	1.43%
96	8.36%	5.1%	11.4%	1.29%	0.58%	2.01%
95	11%	7.08%	14.6%	1.8%	0.84%	2.76%
94	14%	9.51%	18.3%	2.44%	1.19%	3.7%
93	17.5%	12.4%	22.4%	3.24%	1.64%	4.85%
92	21.3%	15.7%	26.7%	4.23%	2.22%	6.24%
91	25.3%	19.4%	31.2%	5.39%	2.93%	7.85%
90	29.6%	23.3%	35.7%	6.79%	3.82%	9.75%
89	33.9%	27.4%	40.3%	8.39%	4.88%	11.9%
88	38.2%	31.7%	44.7%	10.2%	6.14%	14.2%
87	42.5%	36%	49.1%	12.2%	7.6%	16.8%
86	46.7%	40.2%	53.2%	14.5%	9.26%	19.6%
85	50.7%	44.3%	57.2%	16.9%	11.1%	22.5%
84	54.5%	48.2%	60.8%	19.5%	13.2%	25.6%
83	58.1%	52%	64.3%	22.1%	15.4%	28.7%
82	61.5%	55.6%	67.4%	24.9%	17.8%	31.9%
81	64.6%	58.9%	70.3%	27.7%	20.2%	35%
80	67.4%	62%	72.9%	30.6%	22.8%	38.2%
79	70%	64.8%	75.2%	33.5%	25.5%	41.3%
78	72.3%	67.4%	77.3%	36.4%	28.2%	44.4%
77	74.5%	69.8%	79.2%	39.3%	31%	47.4%
76	76.5%	72.1%	81%	42.1%	33.7%	50.3%
75	78.3%	74.2%	82.5%	44.9%	36.5%	53.1%
74	80%	76.1%	84%	47.7%	39.2%	55.8%
73	81.6%	77.9%	85.3%	50.3%	41.9%	58.4%
72	83%	79.6%	86.5%	52.9%	44.6%	60.9%
71	84.4%	81.1%	87.6%	55.3%	47.1%	63.2%
70	85.6%	82.6%	88.6%	57.7%	49.6%	65.4%
69	86.7%	84%	89.6%	59.9%	52%	67.4%
68	87.8%	85.3%	90.4%	62.1%	54.3%	69.4%
67	88.8%	86.5%	91.3%	64.1%	56.5%	71.2%
66	89.8%	87.6%	92%	66%	58.7%	72.9%
65	90.7%	88.7%	92.7%	67.8%	60.7%	74.5%
64	91.5%	89.7%	93.4%	69.5%	62.7%	76%
63	92.3%	90.6%	94%	71.1%	64.6%	77.4%
62	93%	91.5%	94.6%	72.7%	66.4%	78.7%
61	93.7%	92.2%	95.1%	74.1%	68.1%	79.9%
60	94.3%	93%	95.6%	75.4%	69.7%	81%
59	94.8%	93.6%	96%	76.6%	71.2%	82%
58	95.3%	94.2%	96.4%	77.8%	72.6%	83%
57	95.7%	94.8%	96.7%	78.9%	74%	83.8%
56	96.1%	95.2%	97%	80%	75.2%	84.7%
55	96.5%	95.7%	97.3%	81%	76.5%	85.5%
54	96.8%	96%	97.6%	81.9%	77.6%	86.2%
53	97.1%	96.4%	97.8%	82.8%	78.7%	86.9%
52	97.3%	96.7%	98%	83.7%	79.8%	87.5%
51	97.6%	97%	98.2%	84.5%	80.7%	88.1%
50	97.8%	97.2%	98.3%	85.2%	81.7%	88.7%
49	97.9%	97.4%	98.5%	85.9%	82.5%	89.2%
48	98.1%	97.6%	98.6%	86.6%	83.3%	89.7%
47	98.2%	97.8%	98.7%	87.2%	84.1%	90.1%
46	98.4%	98%	98.8%	87.7%	84.8%	90.5%
45	98.5%	98.1%	98.9%	88.3%	85.5%	90.9%
44	98.6%	98.2%	98.9%	88.8%	86.1%	91.3%
43	98.7%	98.3%	99%	89.2%	86.7%	91.6%
42	98.7%	98.4%	99.1%	89.7%	87.3%	92%
41	98.8%	98.5%	99.1%	90.1%	87.8%	92.3%
40	98.9%	98.6%	99.2%	90.5%	88.3%	92.5%
39	98.9%	98.7%	99.2%	90.8%	88.8%	92.8%
38	99%	98.8%	99.3%	91.2%	89.3%	93.1%
37	99.1%	98.8%	99.3%	91.5%	89.7%	93.3%
36	99.1%	98.9%	99.3%	91.8%	90.1%	93.5%
35	99.1%	98.9%	99.4%	92.1%	90.5%	93.7%
34	99.2%	99%	99.4%	92.4%	90.8%	93.9%
33	99.2%	99%	99.4%	92.6%	91.1%	94.1%
32	99.3%	99.1%	99.4%	92.9%	91.5%	94.3%
31	99.3%	99.1%	99.5%	93.1%	91.8%	94.4%
30	99.3%	99.2%	99.5%	93.3%	92.1%	94.6%
29	99.4%	99.2%	99.5%	93.5%	92.3%	94.7%
28	99.4%	99.2%	99.5%	93.7%	92.6%	94.9%
27	99.4%	99.3%	99.5%	93.9%	92.9%	95%
26	99.4%	99.3%	99.6%	94.1%	93.1%	95.1%
25	99.5%	99.4%	99.6%	94.3%	93.3%	95.2%
24	99.5%	99.4%	99.6%	94.5%	93.6%	95.4%
23	99.5%	99.4%	99.6%	94.6%	93.8%	95.5%
22	99.5%	99.5%	99.6%	94.8%	94%	95.6%
21	99.6%	99.5%	99.6%	94.9%	94.2%	95.7%
20	99.6%	99.5%	99.6%	95.1%	94.4%	95.8%
19	99.6%	99.5%	99.6%	95.2%	94.6%	95.9%
18	99.6%	99.6%	99.7%	95.3%	94.7%	96%
17	99.6%	99.6%	99.7%	95.4%	94.9%	96%
16	99.6%	99.6%	99.7%	95.5%	95%	96.1%
15	99.6%	99.6%	99.7%	95.6%	95.1%	96.2%
14	99.6%	99.6%	99.7%	95.7%	95.2%	96.2%
13	99.7%	99.6%	99.7%	95.8%	95.2%	96.3%
12	99.7%	99.6%	99.7%	95.8%	95.3%	96.3%
11	99.7%	99.6%	99.7%	95.9%	95.4%	96.4%
10	99.7%	99.6%	99.7%	95.9%	95.4%	96.4%
9	99.7%	99.6%	99.7%	96%	95.5%	96.5%
8	99.7%	99.6%	99.7%	96.1%	95.6%	96.5%
7	99.7%	99.6%	99.7%	96.1%	95.7%	96.6%
6	99.7%	99.6%	99.7%	96.2%	95.8%	96.7%
5	99.7%	99.6%	99.7%	96.3%	95.9%	96.8%
4	99.7%	99.7%	99.7%	96.5%	96%	96.9%
3	99.7%	99.7%	99.7%	96.6%	96.2%	97%
2	99.7%	99.7%	99.7%	96.9%	96.5%	97.3%
1	99.7%	99.7%	99.8%	97.2%	96.9%	97.6%

This chart shows the odds of living to each age from birth. 94.3% of newborns in Denmark and 75.4% in Malawi are expected to live past 60, 85.6% and 57.7% past 70, 67.4% and 30.6% past 80, and only 29.6% and 6.79% past 90.

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

Odds of dying at each age

Chart Table

Denmark

Male

Female

Malawi

Male

Female

1x

Age	Probability of dying
	Denmark			Malawi
	Average	Male	Female	Average	Male	Female
100	35.2%	40.3%	34%	35.9%	38.2%	35.3%
99	33%	37.8%	31.7%	34.4%	36.8%	33.8%
98	30.6%	35.3%	29.3%	32.6%	35.1%	31.9%
97	28.3%	32.8%	26.9%	31.2%	33.7%	30.4%
96	26.1%	30.4%	24.6%	29.7%	32.3%	28.8%
95	23.9%	27.9%	22.3%	28.1%	30.8%	27.2%
94	21.8%	25.6%	20.2%	26.3%	29.1%	25.4%
93	19.8%	23.3%	18.1%	24.7%	27.5%	23.7%
92	17.8%	21%	16.1%	23.3%	26%	22.2%
91	16%	18.9%	14.4%	21.6%	24.4%	20.5%
90	14.3%	16.9%	12.8%	20.6%	23.3%	19.5%
89	12.7%	15.1%	11.3%	19%	21.7%	17.8%
88	11.4%	13.4%	9.99%	17.8%	20.5%	16.6%
87	10.1%	11.9%	8.83%	16.6%	19.2%	15.3%
86	8.92%	10.5%	7.79%	15.4%	18%	14.2%
85	7.91%	9.28%	6.88%	14.3%	16.7%	13.1%
84	7%	8.2%	6.06%	13.3%	15.6%	12%
83	6.18%	7.25%	5.33%	12.1%	14.4%	10.9%
82	5.44%	6.4%	4.67%	11.1%	13.3%	9.93%
81	4.79%	5.65%	4.08%	10.1%	12.1%	8.87%
80	4.21%	4.96%	3.55%	9.44%	11.4%	8.27%
79	3.69%	4.37%	3.1%	8.65%	10.4%	7.55%
78	3.26%	3.87%	2.73%	8.01%	9.69%	6.95%
77	2.89%	3.45%	2.41%	7.31%	8.88%	6.31%
76	2.6%	3.11%	2.14%	6.76%	8.21%	5.8%
75	2.35%	2.82%	1.92%	6.27%	7.59%	5.34%
74	2.12%	2.56%	1.73%	5.75%	6.98%	4.86%
73	1.92%	2.32%	1.55%	5.28%	6.42%	4.43%
72	1.74%	2.11%	1.4%	4.86%	5.92%	4.05%
71	1.58%	1.92%	1.26%	4.4%	5.38%	3.63%
70	1.44%	1.76%	1.14%	4.11%	5.03%	3.39%
69	1.33%	1.63%	1.04%	3.72%	4.59%	3.03%
68	1.23%	1.51%	0.96%	3.43%	4.25%	2.78%
67	1.14%	1.4%	0.9%	3.15%	3.93%	2.54%
66	1.06%	1.3%	0.83%	2.9%	3.64%	2.33%
65	0.98%	1.2%	0.77%	2.7%	3.4%	2.17%
64	0.91%	1.11%	0.71%	2.47%	3.15%	1.97%
63	0.84%	1.02%	0.65%	2.27%	2.92%	1.8%
62	0.77%	0.94%	0.6%	2.09%	2.7%	1.65%
61	0.7%	0.86%	0.54%	1.9%	2.48%	1.49%
60	0.63%	0.78%	0.49%	1.77%	2.32%	1.39%
59	0.57%	0.7%	0.44%	1.62%	2.12%	1.25%
58	0.51%	0.63%	0.39%	1.5%	1.97%	1.15%
57	0.46%	0.57%	0.35%	1.4%	1.83%	1.06%
56	0.41%	0.51%	0.32%	1.31%	1.7%	0.98%
55	0.37%	0.44%	0.29%	1.23%	1.59%	0.91%
54	0.33%	0.39%	0.26%	1.16%	1.49%	0.85%
53	0.29%	0.35%	0.23%	1.09%	1.39%	0.79%
52	0.26%	0.31%	0.21%	1.02%	1.3%	0.74%
51	0.23%	0.28%	0.18%	0.94%	1.21%	0.67%
50	0.21%	0.26%	0.16%	0.89%	1.14%	0.63%
49	0.19%	0.23%	0.14%	0.82%	1.05%	0.58%
48	0.17%	0.21%	0.12%	0.76%	0.98%	0.54%
47	0.15%	0.18%	0.11%	0.7%	0.91%	0.5%
46	0.13%	0.16%	0.1%	0.65%	0.84%	0.46%
45	0.11%	0.14%	0.08%	0.6%	0.79%	0.43%
44	0.1%	0.12%	0.08%	0.56%	0.74%	0.4%
43	0.09%	0.11%	0.07%	0.52%	0.69%	0.37%
42	0.08%	0.1%	0.06%	0.49%	0.65%	0.35%
41	0.07%	0.09%	0.06%	0.45%	0.6%	0.33%
40	0.07%	0.08%	0.05%	0.43%	0.57%	0.31%
39	0.06%	0.08%	0.05%	0.4%	0.53%	0.29%
38	0.06%	0.07%	0.04%	0.38%	0.5%	0.27%
37	0.05%	0.06%	0.04%	0.35%	0.47%	0.25%
36	0.05%	0.06%	0.03%	0.33%	0.44%	0.23%
35	0.04%	0.06%	0.03%	0.31%	0.42%	0.22%
34	0.04%	0.05%	0.03%	0.29%	0.39%	0.21%
33	0.04%	0.05%	0.03%	0.28%	0.37%	0.19%
32	0.04%	0.05%	0.02%	0.26%	0.35%	0.18%
31	0.03%	0.04%	0.02%	0.25%	0.33%	0.17%
30	0.03%	0.04%	0.02%	0.24%	0.32%	0.16%
29	0.03%	0.04%	0.02%	0.23%	0.3%	0.15%
28	0.03%	0.04%	0.02%	0.22%	0.29%	0.15%
27	0.03%	0.04%	0.02%	0.21%	0.27%	0.14%
26	0.03%	0.04%	0.01%	0.2%	0.26%	0.13%
25	0.02%	0.04%	0.01%	0.19%	0.25%	0.13%
24	0.02%	0.03%	0.01%	0.18%	0.24%	0.12%
23	0.02%	0.03%	0.01%	0.18%	0.24%	0.12%
22	0.02%	0.03%	0.01%	0.17%	0.23%	0.11%
21	0.02%	0.03%	0.01%	0.16%	0.21%	0.11%
20	0.02%	0.03%	0.01%	0.15%	0.2%	0.1%
19	0.02%	0.03%	0.01%	0.14%	0.19%	0.1%
18	0.02%	0.02%	0.01%	0.13%	0.17%	0.09%
17	0.01%	0.02%	0.01%	0.11%	0.15%	0.08%
16	0.01%	0.01%	0.008%	0.1%	0.12%	0.08%
15	0.008%	0.009%	0.007%	0.09%	0.1%	0.07%
14	0.006%	0.007%	0.005%	0.07%	0.09%	0.06%
13	0.005%	0.005%	0.004%	0.07%	0.08%	0.06%
12	0.004%	0.005%	0.003%	0.06%	0.07%	0.05%
11	0.004%	0.005%	0.003%	0.06%	0.07%	0.05%
10	0.004%	0.004%	0.003%	0.06%	0.07%	0.05%
9	0.004%	0.004%	0.003%	0.07%	0.07%	0.06%
8	0.004%	0.004%	0.004%	0.07%	0.08%	0.06%
7	0.004%	0.004%	0.004%	0.08%	0.09%	0.07%
6	0.004%	0.004%	0.004%	0.09%	0.1%	0.08%
5	0.004%	0.004%	0.004%	0.1%	0.11%	0.09%
4	0.004%	0.005%	0.004%	0.13%	0.14%	0.12%
3	0.006%	0.007%	0.005%	0.17%	0.19%	0.16%
2	0.01%	0.01%	0.01%	0.25%	0.27%	0.22%
1	0.03%	0.03%	0.03%	0.39%	0.42%	0.36%
0	0.27%	0.29%	0.24%	2.76%	3.13%	2.38%

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

The annual chance of dying is 0.27% in the birth year in Denmark and 2.76% in Malawi, 0.03% vs 0.24% at age 30, 0.63% vs 1.77% at 60, and 4.21% vs 9.44% at 80.

Death rate by age in Denmark vs Malawi

Chart Table

Denmark

Male

Female

Malawi

Male

Female

1x

Age	Death rate
	Denmark			Malawi
	Total	Male	Female	Total	Male	Female
100	570	176.1	916	34.7	0.008	71
99	1,013	583	1,405	145.2	62.6	229.1
98	1,356	843	1,834	204.3	91.9	318
97	1,750	1,167	2,304	283.6	133.3	435
96	2,179	1,549	2,792	384	188.4	580
95	2,626	1,977	3,268	505	259.5	751
94	3,062	2,434	3,698	643	345	939
93	3,458	2,888	4,051	802	451	1,153
92	3,788	3,300	4,309	983	576	1,387
91	4,056	3,663	4,484	1,166	714	1,612
90	4,233	3,943	4,558	1,399	890	1,900
89	4,320	4,134	4,544	1,594	1,061	2,117
88	4,344	4,252	4,472	1,819	1,259	2,365
87	4,291	4,276	4,334	2,026	1,457	2,578
86	4,166	4,213	4,144	2,231	1,664	2,778
85	4,010	4,108	3,932	2,412	1,861	2,944
84	3,817	3,957	3,690	2,577	2,061	3,073
83	3,591	3,771	3,426	2,684	2,217	3,131
82	3,345	3,556	3,148	2,777	2,368	3,168
81	3,096	3,326	2,867	2,788	2,455	3,104
80	2,834	3,075	2,587	2,887	2,601	3,158
79	2,582	2,829	2,332	2,894	2,661	3,115
78	2,360	2,610	2,110	2,915	2,734	3,085
77	2,156	2,409	1,907	2,869	2,749	2,989
76	1,985	2,242	1,734	2,847	2,770	2,916
75	1,838	2,094	1,584	2,815	2,769	2,834
74	1,700	1,949	1,449	2,739	2,737	2,711
73	1,565	1,806	1,324	2,655	2,691	2,586
72	1,442	1,676	1,209	2,572	2,639	2,467
71	1,331	1,558	1,103	2,433	2,537	2,293
70	1,235	1,457	1,010	2,371	2,494	2,214
69	1,154	1,372	935	2,226	2,386	2,040
68	1,082	1,289	872	2,127	2,309	1,930
67	1,016	1,211	819	2,016	2,222	1,808
66	953	1,135	768	1,912	2,137	1,699
65	891	1,063	716	1,828	2,067	1,615
64	831	995	664	1,716	1,973	1,499
63	772	926	614	1,612	1,883	1,395
62	714	858	566	1,516	1,794	1,300
61	655	790	517	1,405	1,687	1,188
60	597	723	468	1,338	1,616	1,125
59	543	660	422	1,239	1,510	1,025
58	490	598	380	1,171	1,430	958
57	442	538	342	1,102	1,350	887
56	396	481	310	1,048	1,282	833
55	353	425	280.4	996	1,219	778
54	316	377	254	949	1,157	731
53	280.9	335	227	900	1,096	684
52	251.8	302	201.4	855	1,040	645
51	226.2	274.8	177.8	798	975	592
50	203.6	250.1	157	759	929	563
49	182.7	226.5	138.5	702	865	517
48	162.5	203	121.7	655	813	482
47	144.1	180.7	107.1	609	762	446
46	126.7	158.9	94.2	568	716	416
45	111.1	138.9	83.3	533	677	392
44	98.4	121.8	74.6	496	634	365
43	87.8	107.8	67.2	465	598	343
42	79.2	97.2	60.6	438	566	324
41	72.7	89.2	55.6	408	530	299.9
40	66.5	81.4	51.1	388	506	285.2
39	60.9	74.2	47	363	474	265.1
38	55.9	68.3	42.9	343	449	249.3
37	51.6	64	38.6	322	423	232
36	47.9	60.7	34.6	304	399	218.8
35	44.2	57.1	30.8	288.1	378	205.9
34	41	53.6	27.8	271.5	356	192.6
33	37.8	49.6	25.4	257	337	181.7
32	35.2	46.3	23.5	244.2	320	171.7
31	33	43.7	21.9	230.4	302	160.6
30	31.4	41.9	20.4	222	290.7	154.7
29	29.6	39.9	18.8	210.9	276.4	146.2
28	28.3	38.6	17.5	201.9	265	139.1
27	26.9	37.3	16.2	193.4	254.5	132.5
26	26	36.7	14.9	185.6	245.1	126.3
25	24.8	35.6	13.7	178.7	237.2	120.4
24	23.8	34.3	12.9	172.2	229	115.6
23	23.1	33.3	12.6	165.6	221	110.5
22	22.4	31.9	12.5	158.7	211.8	105.8
21	21.8	30.7	12.6	151	201	101.2
20	20.8	28.7	12.5	143.1	189.1	97.4
19	18.5	25	11.6	133.8	175.4	92.3
18	15.8	20.8	10.5	123.3	160.2	86.6
17	13.2	16.7	9.49	108.6	137.6	79.6
16	10.3	12.4	8.1	94.9	117	72.7
15	8.08	9.28	6.84	82	98.8	65.2
14	6.13	6.84	5.38	71.7	85	58.4
13	4.79	5.42	4.14	64.5	75.3	53.7
12	4.06	4.74	3.34	60.4	70.1	50.6
11	3.73	4.49	2.94	59	68.1	49.8
10	3.7	4.43	2.93	59.7	68.2	51.1
9	3.66	4.15	3.14	62.8	71.3	54.1
8	3.71	3.91	3.5	68.3	77.3	59.2
7	3.75	3.77	3.72	76.3	85.7	66.7
6	3.87	3.98	3.75	85.9	95.4	76.4
5	4.03	4.36	3.68	100.2	110	90.4
4	4.37	4.88	3.82	126.8	139.2	114.2
3	5.8	6.55	5.01	168.3	184.6	151.7
2	11.2	12.5	9.81	237.5	258.9	215.8
1	31	34.1	27.6	379	404	353
0	266.1	293.9	236.8	2,759	3,129	2,385

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 Denmark, the most common age of death is 88, compared to 78 in Malawi. The median age of death is 85.2 in Denmark and 73.1 in Malawi, 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 Denmark and Malawi more than their death rates.

Life expectancy in other countries

+ -

1x