Life Expectancy in Denmark vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Denmark

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Denmark			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	102.1	101.8	102.2	102.2	101.9	102.2
99	101.2	100.9	101.3	101.2	101	101.3
98	100.4	100.1	100.5	100.4	100.1	100.4
97	99.6	99.2	99.7	99.5	99.2	99.5
96	98.8	98.4	98.9	98.6	98.4	98.7
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	95.7	96.1
92	95.8	95.3	96	95.2	94.9	95.3
91	95.1	94.6	95.4	94.4	94	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	91.6	92.2
87	92.6	92	93.1	91.2	90.8	91.5
86	92.1	91.4	92.5	90.5	90	90.8
85	91.6	90.9	92.1	89.8	89.2	90.1
84	91.1	90.3	91.6	89	88.4	89.4
83	90.6	89.8	91.2	88.4	87.7	88.7
82	90.2	89.4	90.8	87.7	87	88.1
81	89.7	88.9	90.4	87	86.3	87.5
80	89.4	88.5	90	86.4	85.6	86.9
79	89	88.1	89.7	85.8	84.9	86.3
78	88.7	87.7	89.4	85.1	84.2	85.7
77	88.3	87.4	89.1	84.5	83.6	85.2
76	88	87.1	88.8	83.9	83	84.6
75	87.7	86.7	88.6	83.4	82.3	84.1
74	87.4	86.4	88.3	82.8	81.7	83.5
73	87.2	86.1	88.1	82.2	81.2	83
72	86.9	85.8	87.9	81.7	80.6	82.5
71	86.7	85.6	87.7	81.2	80	82.1
70	86.4	85.3	87.5	80.7	79.5	81.6
69	86.2	85	87.3	80.2	79	81.1
68	86	84.8	87.1	79.7	78.4	80.7
67	85.8	84.5	87	79.2	77.9	80.2
66	85.6	84.3	86.8	78.8	77.5	79.8
65	85.4	84.1	86.6	78.3	77	79.4
64	85.2	83.9	86.5	77.9	76.5	79
63	85	83.7	86.3	77.5	76.1	78.6
62	84.8	83.5	86.2	77.1	75.6	78.2
61	84.7	83.3	86	76.7	75.2	77.9
60	84.5	83.1	85.9	76.3	74.8	77.5
59	84.4	82.9	85.8	75.9	74.4	77.2
58	84.3	82.8	85.7	75.6	74	76.9
57	84.1	82.6	85.6	75.2	73.6	76.6
56	84	82.5	85.5	74.9	73.2	76.3
55	83.9	82.4	85.4	74.6	72.8	76
54	83.8	82.3	85.3	74.2	72.5	75.7
53	83.7	82.2	85.3	73.9	72.1	75.4
52	83.6	82.1	85.2	73.6	71.8	75.1
51	83.6	82	85.1	73.3	71.4	74.8
50	83.5	81.9	85.1	73	71.1	74.6
49	83.4	81.8	85	72.7	70.8	74.3
48	83.4	81.8	85	72.5	70.5	74
47	83.3	81.7	84.9	72.2	70.2	73.8
46	83.3	81.6	84.9	71.9	69.9	73.6
45	83.2	81.6	84.9	71.7	69.6	73.3
44	83.2	81.5	84.8	71.4	69.3	73.1
43	83.2	81.5	84.8	71.2	69	72.9
42	83.1	81.5	84.8	70.9	68.7	72.7
41	83.1	81.4	84.8	70.7	68.5	72.5
40	83.1	81.4	84.7	70.5	68.2	72.2
39	83	81.4	84.7	70.2	68	72
38	83	81.3	84.7	70	67.8	71.9
37	83	81.3	84.7	69.8	67.5	71.7
36	83	81.3	84.7	69.6	67.3	71.5
35	83	81.2	84.6	69.4	67.1	71.3
34	82.9	81.2	84.6	69.2	66.9	71.1
33	82.9	81.2	84.6	69	66.7	71
32	82.9	81.2	84.6	68.9	66.5	70.8
31	82.9	81.2	84.6	68.7	66.3	70.6
30	82.9	81.1	84.6	68.5	66.2	70.5
29	82.8	81.1	84.6	68.4	66	70.4
28	82.8	81.1	84.6	68.2	65.8	70.2
27	82.8	81.1	84.5	68.1	65.7	70.1
26	82.8	81.1	84.5	68	65.5	70
25	82.8	81	84.5	67.8	65.4	69.8
24	82.8	81	84.5	67.7	65.3	69.7
23	82.8	81	84.5	67.6	65.1	69.6
22	82.7	81	84.5	67.5	65	69.5
21	82.7	81	84.5	67.4	64.9	69.4
20	82.7	80.9	84.5	67.3	64.8	69.3
19	82.7	80.9	84.5	67.2	64.7	69.3
18	82.7	80.9	84.5	67.1	64.6	69.2
17	82.7	80.9	84.5	67	64.5	69.1
16	82.7	80.9	84.5	67	64.4	69.1
15	82.7	80.9	84.5	66.9	64.4	69
14	82.7	80.9	84.5	66.8	64.3	69
13	82.7	80.9	84.5	66.8	64.3	68.9
12	82.7	80.9	84.4	66.8	64.2	68.9
11	82.7	80.9	84.4	66.7	64.2	68.8
10	82.7	80.9	84.4	66.7	64.2	68.8
9	82.7	80.9	84.4	66.6	64.1	68.8
8	82.7	80.9	84.4	66.6	64.1	68.7
7	82.7	80.9	84.4	66.5	64	68.7
6	82.7	80.9	84.4	66.5	64	68.6
5	82.6	80.9	84.4	66.4	63.9	68.5
4	82.6	80.8	84.4	66.3	63.8	68.4
3	82.6	80.8	84.4	66.2	63.6	68.3
2	82.6	80.8	84.4	66	63.5	68.1
1	82.6	80.8	84.4	65.6	63.2	67.7
0	82.4	80.6	84.2	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 Denmark can expect to live to 82.9 years compared to 68.5 in Zimbabwe, rising to 85.4 and 78.3 at 65, and to 89.4 and 86.4 at 80 — higher than the 82.4 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Denmark

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Denmark			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	2.06%	0.96%	3.02%	0.2%	0.07%	0.33%
99	3.07%	1.54%	4.43%	0.31%	0.12%	0.5%
98	4.43%	2.39%	6.26%	0.46%	0.18%	0.73%
97	6.18%	3.55%	8.57%	0.66%	0.27%	1.05%
96	8.36%	5.1%	11.4%	0.94%	0.4%	1.47%
95	11%	7.08%	14.6%	1.3%	0.59%	2.02%
94	14%	9.51%	18.3%	1.77%	0.83%	2.71%
93	17.5%	12.4%	22.4%	2.36%	1.15%	3.55%
92	21.3%	15.7%	26.7%	3.08%	1.57%	4.57%
91	25.3%	19.4%	31.2%	3.95%	2.09%	5.75%
90	29.6%	23.3%	35.7%	4.99%	2.73%	7.15%
89	33.9%	27.4%	40.3%	6.18%	3.51%	8.72%
88	38.2%	31.7%	44.7%	7.56%	4.44%	10.5%
87	42.5%	36%	49.1%	9.1%	5.53%	12.4%
86	46.7%	40.2%	53.2%	10.8%	6.78%	14.5%
85	50.7%	44.3%	57.2%	12.7%	8.2%	16.8%
84	54.5%	48.2%	60.8%	14.7%	9.78%	19.1%
83	58.1%	52%	64.3%	16.8%	11.5%	21.5%
82	61.5%	55.6%	67.4%	19%	13.4%	24%
81	64.6%	58.9%	70.3%	21.2%	15.4%	26.4%
80	67.4%	62%	72.9%	23.5%	17.5%	28.8%
79	70%	64.8%	75.2%	25.9%	19.7%	31.3%
78	72.3%	67.4%	77.3%	28.3%	21.9%	33.8%
77	74.5%	69.8%	79.2%	30.7%	24.3%	36.3%
76	76.5%	72.1%	81%	33.2%	26.6%	38.7%
75	78.3%	74.2%	82.5%	35.6%	29%	41.2%
74	80%	76.1%	84%	38%	31.4%	43.6%
73	81.6%	77.9%	85.3%	40.4%	33.9%	45.9%
72	83%	79.6%	86.5%	42.8%	36.3%	48.2%
71	84.4%	81.1%	87.6%	45.1%	38.6%	50.4%
70	85.6%	82.6%	88.6%	47.3%	40.9%	52.6%
69	86.7%	84%	89.6%	49.5%	43.2%	54.7%
68	87.8%	85.3%	90.4%	51.6%	45.4%	56.7%
67	88.8%	86.5%	91.3%	53.6%	47.6%	58.6%
66	89.8%	87.6%	92%	55.6%	49.7%	60.5%
65	90.7%	88.7%	92.7%	57.6%	51.8%	62.3%
64	91.5%	89.7%	93.4%	59.5%	53.8%	64%
63	92.3%	90.6%	94%	61.2%	55.8%	65.7%
62	93%	91.5%	94.6%	63%	57.7%	67.2%
61	93.7%	92.2%	95.1%	64.6%	59.5%	68.7%
60	94.3%	93%	95.6%	66.2%	61.2%	70.1%
59	94.8%	93.6%	96%	67.6%	62.9%	71.4%
58	95.3%	94.2%	96.4%	69.1%	64.5%	72.7%
57	95.7%	94.8%	96.7%	70.4%	66%	73.9%
56	96.1%	95.2%	97%	71.7%	67.5%	75%
55	96.5%	95.7%	97.3%	72.9%	69%	76.1%
54	96.8%	96%	97.6%	74.1%	70.3%	77.2%
53	97.1%	96.4%	97.8%	75.2%	71.7%	78.2%
52	97.3%	96.7%	98%	76.3%	73%	79.1%
51	97.6%	97%	98.2%	77.4%	74.2%	80.1%
50	97.8%	97.2%	98.3%	78.4%	75.4%	81%
49	97.9%	97.4%	98.5%	79.4%	76.6%	81.8%
48	98.1%	97.6%	98.6%	80.3%	77.7%	82.6%
47	98.2%	97.8%	98.7%	81.2%	78.7%	83.4%
46	98.4%	98%	98.8%	82%	79.7%	84.1%
45	98.5%	98.1%	98.9%	82.9%	80.7%	84.8%
44	98.6%	98.2%	98.9%	83.6%	81.6%	85.5%
43	98.7%	98.3%	99%	84.4%	82.5%	86.1%
42	98.7%	98.4%	99.1%	85.1%	83.3%	86.7%
41	98.8%	98.5%	99.1%	85.8%	84.1%	87.3%
40	98.9%	98.6%	99.2%	86.4%	84.9%	87.9%
39	98.9%	98.7%	99.2%	87.1%	85.6%	88.4%
38	99%	98.8%	99.3%	87.7%	86.3%	89%
37	99.1%	98.8%	99.3%	88.2%	86.9%	89.5%
36	99.1%	98.9%	99.3%	88.8%	87.5%	89.9%
35	99.1%	98.9%	99.4%	89.3%	88.1%	90.4%
34	99.2%	99%	99.4%	89.8%	88.7%	90.8%
33	99.2%	99%	99.4%	90.2%	89.2%	91.2%
32	99.3%	99.1%	99.4%	90.7%	89.7%	91.6%
31	99.3%	99.1%	99.5%	91.1%	90.1%	91.9%
30	99.3%	99.2%	99.5%	91.4%	90.6%	92.3%
29	99.4%	99.2%	99.5%	91.8%	91%	92.6%
28	99.4%	99.2%	99.5%	92.1%	91.4%	92.9%
27	99.4%	99.3%	99.5%	92.5%	91.7%	93.2%
26	99.4%	99.3%	99.6%	92.8%	92.1%	93.5%
25	99.5%	99.4%	99.6%	93.1%	92.4%	93.7%
24	99.5%	99.4%	99.6%	93.3%	92.7%	93.9%
23	99.5%	99.4%	99.6%	93.6%	93%	94.2%
22	99.5%	99.5%	99.6%	93.8%	93.3%	94.4%
21	99.6%	99.5%	99.6%	94%	93.5%	94.5%
20	99.6%	99.5%	99.6%	94.2%	93.8%	94.7%
19	99.6%	99.5%	99.6%	94.4%	94%	94.9%
18	99.6%	99.6%	99.7%	94.6%	94.2%	95%
17	99.6%	99.6%	99.7%	94.7%	94.3%	95.1%
16	99.6%	99.6%	99.7%	94.8%	94.5%	95.2%
15	99.6%	99.6%	99.7%	94.9%	94.6%	95.3%
14	99.6%	99.6%	99.7%	95%	94.7%	95.4%
13	99.7%	99.6%	99.7%	95.1%	94.8%	95.5%
12	99.7%	99.6%	99.7%	95.2%	94.8%	95.6%
11	99.7%	99.6%	99.7%	95.3%	94.9%	95.6%
10	99.7%	99.6%	99.7%	95.3%	95%	95.7%
9	99.7%	99.6%	99.7%	95.4%	95.1%	95.8%
8	99.7%	99.6%	99.7%	95.5%	95.1%	95.8%
7	99.7%	99.6%	99.7%	95.6%	95.2%	95.9%
6	99.7%	99.6%	99.7%	95.7%	95.3%	96%
5	99.7%	99.6%	99.7%	95.8%	95.5%	96.1%
4	99.7%	99.7%	99.7%	95.9%	95.6%	96.3%
3	99.7%	99.7%	99.7%	96.2%	95.8%	96.5%
2	99.7%	99.7%	99.7%	96.5%	96.1%	96.8%
1	99.7%	99.7%	99.8%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 94.3% of newborns in Denmark and 66.2% in Zimbabwe are expected to live past 60, 85.6% and 47.3% past 70, 67.4% and 23.5% past 80, and only 29.6% 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

Denmark

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Denmark			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	35.2%	40.3%	34%	35.7%	38.2%	35%
99	33%	37.8%	31.7%	34.3%	36.9%	33.6%
98	30.6%	35.3%	29.3%	32.4%	35.2%	31.7%
97	28.3%	32.8%	26.9%	31.1%	33.9%	30.2%
96	26.1%	30.4%	24.6%	29.6%	32.5%	28.7%
95	23.9%	27.9%	22.3%	28.1%	31%	27.1%
94	21.8%	25.6%	20.2%	26.4%	29.5%	25.4%
93	19.8%	23.3%	18.1%	24.9%	27.9%	23.7%
92	17.8%	21%	16.1%	23.5%	26.4%	22.2%
91	16%	18.9%	14.4%	21.9%	24.9%	20.6%
90	14.3%	16.9%	12.8%	20.9%	23.7%	19.6%
89	12.7%	15.1%	11.3%	19.3%	22.2%	18%
88	11.4%	13.4%	9.99%	18.2%	20.9%	16.8%
87	10.1%	11.9%	8.83%	16.9%	19.7%	15.6%
86	8.92%	10.5%	7.79%	15.8%	18.5%	14.5%
85	7.91%	9.28%	6.88%	14.7%	17.3%	13.3%
84	7%	8.2%	6.06%	13.6%	16.2%	12.3%
83	6.18%	7.25%	5.33%	12.5%	15%	11.2%
82	5.44%	6.4%	4.67%	11.6%	14%	10.2%
81	4.79%	5.65%	4.08%	10.5%	12.9%	9.17%
80	4.21%	4.96%	3.55%	9.89%	12.1%	8.58%
79	3.69%	4.37%	3.1%	9.11%	11.1%	7.87%
78	3.26%	3.87%	2.73%	8.54%	10.4%	7.38%
77	2.89%	3.45%	2.41%	7.89%	9.57%	6.81%
76	2.6%	3.11%	2.14%	7.37%	8.9%	6.37%
75	2.35%	2.82%	1.92%	6.87%	8.28%	5.94%
74	2.12%	2.56%	1.73%	6.38%	7.68%	5.51%
73	1.92%	2.32%	1.55%	5.92%	7.12%	5.11%
72	1.74%	2.11%	1.4%	5.51%	6.62%	4.76%
71	1.58%	1.92%	1.26%	5.06%	6.09%	4.37%
70	1.44%	1.76%	1.14%	4.75%	5.7%	4.11%
69	1.33%	1.63%	1.04%	4.38%	5.25%	3.78%
68	1.23%	1.51%	0.96%	4.09%	4.9%	3.54%
67	1.14%	1.4%	0.9%	3.82%	4.56%	3.31%
66	1.06%	1.3%	0.83%	3.58%	4.26%	3.1%
65	0.98%	1.2%	0.77%	3.38%	4.01%	2.93%
64	0.91%	1.11%	0.71%	3.14%	3.74%	2.7%
63	0.84%	1.02%	0.65%	2.92%	3.5%	2.49%
62	0.77%	0.94%	0.6%	2.73%	3.28%	2.31%
61	0.7%	0.86%	0.54%	2.53%	3.04%	2.13%
60	0.63%	0.78%	0.49%	2.37%	2.87%	1.99%
59	0.57%	0.7%	0.44%	2.19%	2.65%	1.85%
58	0.51%	0.63%	0.39%	2.04%	2.48%	1.73%
57	0.46%	0.57%	0.35%	1.91%	2.33%	1.62%
56	0.41%	0.51%	0.32%	1.79%	2.2%	1.53%
55	0.37%	0.44%	0.29%	1.69%	2.09%	1.44%
54	0.33%	0.39%	0.26%	1.6%	1.97%	1.36%
53	0.29%	0.35%	0.23%	1.52%	1.87%	1.29%
52	0.26%	0.31%	0.21%	1.44%	1.78%	1.23%
51	0.23%	0.28%	0.18%	1.36%	1.68%	1.15%
50	0.21%	0.26%	0.16%	1.3%	1.6%	1.1%
49	0.19%	0.23%	0.14%	1.22%	1.5%	1.03%
48	0.17%	0.21%	0.12%	1.16%	1.41%	0.98%
47	0.15%	0.18%	0.11%	1.09%	1.33%	0.92%
46	0.13%	0.16%	0.1%	1.04%	1.25%	0.87%
45	0.11%	0.14%	0.08%	0.99%	1.19%	0.83%
44	0.1%	0.12%	0.08%	0.93%	1.12%	0.78%
43	0.09%	0.11%	0.07%	0.89%	1.06%	0.75%
42	0.08%	0.1%	0.06%	0.84%	1%	0.71%
41	0.07%	0.09%	0.06%	0.8%	0.95%	0.68%
40	0.07%	0.08%	0.05%	0.76%	0.9%	0.65%
39	0.06%	0.08%	0.05%	0.72%	0.85%	0.62%
38	0.06%	0.07%	0.04%	0.68%	0.8%	0.59%
37	0.05%	0.06%	0.04%	0.64%	0.75%	0.55%
36	0.05%	0.06%	0.03%	0.61%	0.71%	0.53%
35	0.04%	0.06%	0.03%	0.57%	0.66%	0.5%
34	0.04%	0.05%	0.03%	0.54%	0.62%	0.47%
33	0.04%	0.05%	0.03%	0.5%	0.58%	0.44%
32	0.04%	0.05%	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%	0.04%	0.02%	0.37%	0.42%	0.33%
27	0.03%	0.04%	0.02%	0.35%	0.4%	0.31%
26	0.03%	0.04%	0.01%	0.33%	0.37%	0.29%
25	0.02%	0.04%	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	0.01%	0.02%	0.01%	0.15%	0.17%	0.13%
16	0.01%	0.01%	0.008%	0.13%	0.14%	0.12%
15	0.008%	0.009%	0.007%	0.11%	0.12%	0.1%
14	0.006%	0.007%	0.005%	0.1%	0.1%	0.09%
13	0.005%	0.005%	0.004%	0.08%	0.09%	0.08%
12	0.004%	0.005%	0.003%	0.08%	0.08%	0.07%
11	0.004%	0.005%	0.003%	0.07%	0.08%	0.07%
10	0.004%	0.004%	0.003%	0.07%	0.08%	0.07%
9	0.004%	0.004%	0.003%	0.08%	0.08%	0.07%
8	0.004%	0.004%	0.004%	0.08%	0.09%	0.08%
7	0.004%	0.004%	0.004%	0.09%	0.1%	0.09%
6	0.004%	0.004%	0.004%	0.1%	0.11%	0.1%
5	0.004%	0.004%	0.004%	0.12%	0.13%	0.12%
4	0.004%	0.005%	0.004%	0.16%	0.17%	0.16%
3	0.006%	0.007%	0.005%	0.22%	0.22%	0.22%
2	0.01%	0.01%	0.01%	0.32%	0.32%	0.32%
1	0.03%	0.03%	0.03%	0.5%	0.48%	0.52%
0	0.27%	0.29%	0.24%	3.05%	3.4%	2.7%

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

The annual chance of dying is 0.27% in the birth year in Denmark and 3.05% in Zimbabwe, 0.03% vs 0.42% at age 30, 0.63% vs 2.37% at 60, and 4.21% vs 9.89% at 80.

Death rate by age in Denmark vs Zimbabwe

Chart Table

Denmark

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Denmark			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	570	176.1	916	24.9	0	53
99	1,013	583	1,405	105.4	43.2	168.4
98	1,356	843	1,834	147.6	63.5	232.4
97	1,750	1,167	2,304	205	92.4	318
96	2,179	1,549	2,792	277.6	131.3	423
95	2,626	1,977	3,268	366	181.8	548
94	3,062	2,434	3,698	469	244.7	687
93	3,458	2,888	4,051	588	322	843
92	3,788	3,300	4,309	724	414	1,016
91	4,056	3,663	4,484	863	518	1,184
90	4,233	3,943	4,558	1,040	647	1,401
89	4,320	4,134	4,544	1,196	779	1,570
88	4,344	4,252	4,472	1,372	930	1,762
87	4,291	4,276	4,334	1,540	1,088	1,934
86	4,166	4,213	4,144	1,709	1,253	2,102
85	4,010	4,108	3,932	1,858	1,418	2,232
84	3,817	3,957	3,690	1,999	1,583	2,345
83	3,591	3,771	3,426	2,102	1,730	2,403
82	3,345	3,556	3,148	2,197	1,873	2,450
81	3,096	3,326	2,867	2,235	1,982	2,419
80	2,834	3,075	2,587	2,328	2,113	2,474
79	2,582	2,829	2,332	2,358	2,186	2,465
78	2,360	2,610	2,110	2,416	2,272	2,497
77	2,156	2,409	1,907	2,424	2,321	2,470
76	1,985	2,242	1,734	2,444	2,370	2,468
75	1,838	2,094	1,584	2,448	2,404	2,446
74	1,700	1,949	1,449	2,427	2,414	2,401
73	1,565	1,806	1,324	2,393	2,412	2,346
72	1,442	1,676	1,209	2,356	2,400	2,294
71	1,331	1,558	1,103	2,281	2,352	2,203
70	1,235	1,457	1,010	2,250	2,336	2,164
69	1,154	1,372	935	2,166	2,269	2,069
68	1,082	1,289	872	2,111	2,224	2,007
67	1,016	1,211	819	2,050	2,172	1,938
66	953	1,135	768	1,993	2,121	1,875
65	891	1,063	716	1,945	2,075	1,824
64	831	995	664	1,866	2,014	1,726
63	772	926	614	1,790	1,952	1,636
62	714	858	566	1,718	1,890	1,553
61	655	790	517	1,632	1,809	1,463
60	597	723	468	1,571	1,756	1,398
59	543	660	422	1,481	1,664	1,318
58	490	598	380	1,411	1,599	1,257
57	442	538	342	1,341	1,537	1,197
56	396	481	310	1,284	1,485	1,146
55	353	425	280.4	1,233	1,440	1,097
54	316	377	254	1,184	1,389	1,052
53	280.9	335	227	1,140	1,342	1,009
52	251.8	302	201.4	1,100	1,298	971
51	226.2	274.8	177.8	1,050	1,245	925
50	203.6	250.1	157	1,018	1,207	892
49	182.7	226.5	138.5	969	1,146	846
48	162.5	203	121.7	929	1,096	806
47	144.1	180.7	107.1	888	1,046	766
46	126.7	158.9	94.2	850	1,000	731
45	111.1	138.9	83.3	816	958	702
44	98.4	121.8	74.6	779	911	669
43	87.8	107.8	67.2	747	871	642
42	79.2	97.2	60.6	717	834	617
41	72.7	89.2	55.6	685	795	592
40	66.5	81.4	51.1	659	766	571
39	60.9	74.2	47	627	725	545
38	55.9	68.3	42.9	599	691	522
37	51.6	64	38.6	568	655	496
36	47.9	60.7	34.6	539	619	473
35	44.2	57.1	30.8	512	586	450
34	41	53.6	27.8	481	550	423
33	37.8	49.6	25.4	453	517	400
32	35.2	46.3	23.5	428	487	379
31	33	43.7	21.9	403	458	356
30	31.4	41.9	20.4	385	436	341
29	29.6	39.9	18.8	363	409	323
28	28.3	38.6	17.5	343	387	303
27	26.9	37.3	16.2	324	365	286.2
26	26	36.7	14.9	304	344	267.1
25	24.8	35.6	13.7	286.4	326	248.2
24	23.8	34.3	12.9	268.5	307	231.1
23	23.1	33.3	12.6	251.5	289	214.4
22	22.4	31.9	12.5	234.1	270.1	198.3
21	21.8	30.7	12.6	216.1	249.9	182.2
20	20.8	28.7	12.5	200.4	229.9	170.6
19	18.5	25	11.6	182.4	209.2	155.3
18	15.8	20.8	10.5	164.9	188.9	140.6
17	13.2	16.7	9.49	143.2	161.3	124.9
16	10.3	12.4	8.1	122.8	135.4	110
15	8.08	9.28	6.84	106.1	114.9	97.1
14	6.13	6.84	5.38	90.9	97.8	83.9
13	4.79	5.42	4.14	80.4	85.9	74.8
12	4.06	4.74	3.34	73.9	79.4	68.4
11	3.73	4.49	2.94	70.9	76.1	65.5
10	3.7	4.43	2.93	70.4	74.5	66.2
9	3.66	4.15	3.14	72.9	76.9	68.8
8	3.71	3.91	3.5	78.6	83.3	73.8
7	3.75	3.77	3.72	87.5	92.4	82.5
6	3.87	3.98	3.75	98.5	103	94
5	4.03	4.36	3.68	116.6	119.9	113.1
4	4.37	4.88	3.82	153.9	157.9	149.8
3	5.8	6.55	5.01	211.7	213.4	209.9
2	11.2	12.5	9.81	308	305	311
1	31	34.1	27.6	484	463	505
0	266.1	293.9	236.8	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 Denmark, the most common age of death is 88, compared to 0 in Zimbabwe. The median age of death is 85.2 in Denmark 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 Denmark and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x