Life Expectancy in Denmark vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Denmark

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Denmark			Tanzania
	Average	Male	Female	Average	Male	Female
100	102.1	101.8	102.2	102.5	101.9	102.6
99	101.2	100.9	101.3	101.7	101	101.7
98	100.4	100.1	100.5	100.8	100.1	100.9
97	99.6	99.2	99.7	100	99.2	100.1
96	98.8	98.4	98.9	99.1	98.4	99.3
95	98	97.6	98.1	98.3	97.5	98.4
94	97.2	96.8	97.4	97.4	96.6	97.7
93	96.5	96	96.7	96.6	95.8	96.9
92	95.8	95.3	96	95.8	94.9	96.1
91	95.1	94.6	95.4	95.1	94.1	95.4
90	94.4	93.9	94.7	94.3	93.3	94.6
89	93.8	93.2	94.2	93.5	92.5	93.9
88	93.2	92.6	93.6	92.7	91.7	93.2
87	92.6	92	93.1	92	90.9	92.5
86	92.1	91.4	92.5	91.3	90.1	91.9
85	91.6	90.9	92.1	90.6	89.4	91.2
84	91.1	90.3	91.6	89.9	88.7	90.6
83	90.6	89.8	91.2	89.2	88	90
82	90.2	89.4	90.8	88.6	87.3	89.4
81	89.7	88.9	90.4	87.9	86.6	88.9
80	89.4	88.5	90	87.3	86	88.3
79	89	88.1	89.7	86.8	85.3	87.8
78	88.7	87.7	89.4	86.2	84.7	87.3
77	88.3	87.4	89.1	85.6	84.1	86.8
76	88	87.1	88.8	85.1	83.5	86.3
75	87.7	86.7	88.6	84.5	83	85.8
74	87.4	86.4	88.3	84	82.4	85.3
73	87.2	86.1	88.1	83.5	81.9	84.8
72	86.9	85.8	87.9	83	81.4	84.3
71	86.7	85.6	87.7	82.5	80.9	83.9
70	86.4	85.3	87.5	82.1	80.4	83.4
69	86.2	85	87.3	81.6	79.9	83
68	86	84.8	87.1	81.2	79.4	82.6
67	85.8	84.5	87	80.7	79	82.2
66	85.6	84.3	86.8	80.3	78.5	81.8
65	85.4	84.1	86.6	79.9	78.1	81.4
64	85.2	83.9	86.5	79.5	77.6	81
63	85	83.7	86.3	79.1	77.2	80.7
62	84.8	83.5	86.2	78.7	76.8	80.3
61	84.7	83.3	86	78.4	76.4	80
60	84.5	83.1	85.9	78	76.1	79.7
59	84.4	82.9	85.8	77.7	75.7	79.4
58	84.3	82.8	85.7	77.4	75.4	79.1
57	84.1	82.6	85.6	77.1	75	78.9
56	84	82.5	85.5	76.8	74.7	78.6
55	83.9	82.4	85.4	76.5	74.4	78.3
54	83.8	82.3	85.3	76.2	74.1	78.1
53	83.7	82.2	85.3	75.9	73.8	77.9
52	83.6	82.1	85.2	75.7	73.5	77.6
51	83.6	82	85.1	75.4	73.3	77.4
50	83.5	81.9	85.1	75.2	73	77.2
49	83.4	81.8	85	75	72.7	77
48	83.4	81.8	85	74.7	72.5	76.8
47	83.3	81.7	84.9	74.5	72.3	76.6
46	83.3	81.6	84.9	74.3	72	76.5
45	83.2	81.6	84.9	74.1	71.8	76.3
44	83.2	81.5	84.8	73.9	71.6	76.1
43	83.2	81.5	84.8	73.8	71.4	76
42	83.1	81.5	84.8	73.6	71.2	75.8
41	83.1	81.4	84.8	73.4	71	75.6
40	83.1	81.4	84.7	73.2	70.8	75.5
39	83	81.4	84.7	73.1	70.7	75.4
38	83	81.3	84.7	72.9	70.5	75.2
37	83	81.3	84.7	72.8	70.3	75.1
36	83	81.3	84.7	72.6	70.2	75
35	83	81.2	84.6	72.5	70	74.8
34	82.9	81.2	84.6	72.4	69.9	74.7
33	82.9	81.2	84.6	72.2	69.7	74.6
32	82.9	81.2	84.6	72.1	69.6	74.5
31	82.9	81.2	84.6	72	69.5	74.4
30	82.9	81.1	84.6	71.9	69.3	74.3
29	82.8	81.1	84.6	71.8	69.2	74.2
28	82.8	81.1	84.6	71.7	69.1	74.1
27	82.8	81.1	84.5	71.6	69	74
26	82.8	81.1	84.5	71.4	68.9	73.9
25	82.8	81	84.5	71.4	68.7	73.9
24	82.8	81	84.5	71.3	68.6	73.8
23	82.8	81	84.5	71.2	68.5	73.7
22	82.7	81	84.5	71.1	68.4	73.6
21	82.7	81	84.5	71	68.3	73.6
20	82.7	80.9	84.5	70.9	68.2	73.5
19	82.7	80.9	84.5	70.8	68.1	73.4
18	82.7	80.9	84.5	70.8	68.1	73.4
17	82.7	80.9	84.5	70.7	68	73.3
16	82.7	80.9	84.5	70.6	67.9	73.3
15	82.7	80.9	84.5	70.6	67.9	73.2
14	82.7	80.9	84.5	70.5	67.8	73.2
13	82.7	80.9	84.5	70.5	67.8	73.2
12	82.7	80.9	84.4	70.5	67.7	73.1
11	82.7	80.9	84.4	70.4	67.7	73.1
10	82.7	80.9	84.4	70.4	67.7	73.1
9	82.7	80.9	84.4	70.4	67.6	73
8	82.7	80.9	84.4	70.3	67.6	73
7	82.7	80.9	84.4	70.3	67.5	72.9
6	82.7	80.9	84.4	70.2	67.5	72.9
5	82.6	80.9	84.4	70.2	67.4	72.8
4	82.6	80.8	84.4	70.1	67.3	72.7
3	82.6	80.8	84.4	69.9	67.2	72.6
2	82.6	80.8	84.4	69.8	67	72.4
1	82.6	80.8	84.4	69.5	66.8	72.2
0	82.4	80.6	84.2	67.6	64.8	70.4

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 71.9 in Tanzania, rising to 85.4 and 79.9 at 65, and to 89.4 and 87.3 at 80 — higher than the 82.4 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Denmark

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Denmark			Tanzania
	Average	Male	Female	Average	Male	Female
100	2.06%	0.96%	3.02%	0.67%	0.12%	1.28%
99	3.07%	1.54%	4.43%	0.94%	0.2%	1.76%
98	4.43%	2.39%	6.26%	1.29%	0.3%	2.36%
97	6.18%	3.55%	8.57%	1.73%	0.46%	3.12%
96	8.36%	5.1%	11.4%	2.29%	0.68%	4.05%
95	11%	7.08%	14.6%	2.99%	0.98%	5.16%
94	14%	9.51%	18.3%	3.82%	1.38%	6.46%
93	17.5%	12.4%	22.4%	4.81%	1.89%	7.95%
92	21.3%	15.7%	26.7%	5.97%	2.55%	9.63%
91	25.3%	19.4%	31.2%	7.28%	3.35%	11.5%
90	29.6%	23.3%	35.7%	8.82%	4.35%	13.5%
89	33.9%	27.4%	40.3%	10.5%	5.52%	15.7%
88	38.2%	31.7%	44.7%	12.4%	6.9%	18.1%
87	42.5%	36%	49.1%	14.4%	8.47%	20.5%
86	46.7%	40.2%	53.2%	16.6%	10.2%	23.1%
85	50.7%	44.3%	57.2%	19%	12.2%	25.7%
84	54.5%	48.2%	60.8%	21.4%	14.3%	28.4%
83	58.1%	52%	64.3%	23.9%	16.6%	31%
82	61.5%	55.6%	67.4%	26.5%	19%	33.6%
81	64.6%	58.9%	70.3%	29%	21.4%	36.1%
80	67.4%	62%	72.9%	31.5%	24%	38.5%
79	70%	64.8%	75.2%	34.1%	26.6%	41%
78	72.3%	67.4%	77.3%	36.6%	29.2%	43.4%
77	74.5%	69.8%	79.2%	39.2%	31.8%	45.8%
76	76.5%	72.1%	81%	41.7%	34.5%	48.2%
75	78.3%	74.2%	82.5%	44.2%	37.1%	50.6%
74	80%	76.1%	84%	46.6%	39.7%	52.9%
73	81.6%	77.9%	85.3%	49%	42.2%	55.1%
72	83%	79.6%	86.5%	51.3%	44.7%	57.3%
71	84.4%	81.1%	87.6%	53.5%	47.1%	59.4%
70	85.6%	82.6%	88.6%	55.7%	49.5%	61.4%
69	86.7%	84%	89.6%	57.7%	51.8%	63.3%
68	87.8%	85.3%	90.4%	59.7%	54%	65.2%
67	88.8%	86.5%	91.3%	61.7%	56.2%	67%
66	89.8%	87.6%	92%	63.6%	58.3%	68.8%
65	90.7%	88.7%	92.7%	65.4%	60.3%	70.5%
64	91.5%	89.7%	93.4%	67.2%	62.3%	72%
63	92.3%	90.6%	94%	68.8%	64.2%	73.5%
62	93%	91.5%	94.6%	70.4%	66%	74.9%
61	93.7%	92.2%	95.1%	71.9%	67.6%	76.2%
60	94.3%	93%	95.6%	73.3%	69.3%	77.5%
59	94.8%	93.6%	96%	74.7%	70.8%	78.6%
58	95.3%	94.2%	96.4%	75.9%	72.2%	79.7%
57	95.7%	94.8%	96.7%	77.1%	73.6%	80.7%
56	96.1%	95.2%	97%	78.2%	74.9%	81.6%
55	96.5%	95.7%	97.3%	79.3%	76.1%	82.5%
54	96.8%	96%	97.6%	80.3%	77.3%	83.3%
53	97.1%	96.4%	97.8%	81.3%	78.4%	84.2%
52	97.3%	96.7%	98%	82.2%	79.4%	84.9%
51	97.6%	97%	98.2%	83%	80.4%	85.6%
50	97.8%	97.2%	98.3%	83.9%	81.4%	86.3%
49	97.9%	97.4%	98.5%	84.6%	82.3%	86.9%
48	98.1%	97.6%	98.6%	85.3%	83.1%	87.5%
47	98.2%	97.8%	98.7%	86%	83.9%	88.1%
46	98.4%	98%	98.8%	86.6%	84.7%	88.6%
45	98.5%	98.1%	98.9%	87.2%	85.4%	89.1%
44	98.6%	98.2%	98.9%	87.8%	86%	89.6%
43	98.7%	98.3%	99%	88.3%	86.7%	90%
42	98.7%	98.4%	99.1%	88.8%	87.2%	90.5%
41	98.8%	98.5%	99.1%	89.3%	87.8%	90.8%
40	98.9%	98.6%	99.2%	89.8%	88.3%	91.2%
39	98.9%	98.7%	99.2%	90.2%	88.8%	91.6%
38	99%	98.8%	99.3%	90.6%	89.3%	91.9%
37	99.1%	98.8%	99.3%	91%	89.8%	92.2%
36	99.1%	98.9%	99.3%	91.3%	90.2%	92.5%
35	99.1%	98.9%	99.4%	91.7%	90.6%	92.8%
34	99.2%	99%	99.4%	92%	90.9%	93.1%
33	99.2%	99%	99.4%	92.3%	91.3%	93.3%
32	99.3%	99.1%	99.4%	92.6%	91.6%	93.6%
31	99.3%	99.1%	99.5%	92.9%	92%	93.8%
30	99.3%	99.2%	99.5%	93.1%	92.3%	94%
29	99.4%	99.2%	99.5%	93.4%	92.5%	94.2%
28	99.4%	99.2%	99.5%	93.6%	92.8%	94.4%
27	99.4%	99.3%	99.5%	93.8%	93.1%	94.6%
26	99.4%	99.3%	99.6%	94%	93.3%	94.8%
25	99.5%	99.4%	99.6%	94.2%	93.6%	94.9%
24	99.5%	99.4%	99.6%	94.4%	93.8%	95.1%
23	99.5%	99.4%	99.6%	94.6%	94%	95.2%
22	99.5%	99.5%	99.6%	94.8%	94.2%	95.4%
21	99.6%	99.5%	99.6%	95%	94.4%	95.5%
20	99.6%	99.5%	99.6%	95.1%	94.6%	95.6%
19	99.6%	99.5%	99.6%	95.3%	94.8%	95.7%
18	99.6%	99.6%	99.7%	95.4%	95%	95.8%
17	99.6%	99.6%	99.7%	95.5%	95.1%	95.9%
16	99.6%	99.6%	99.7%	95.6%	95.2%	96%
15	99.6%	99.6%	99.7%	95.7%	95.3%	96.1%
14	99.6%	99.6%	99.7%	95.8%	95.4%	96.1%
13	99.7%	99.6%	99.7%	95.8%	95.5%	96.2%
12	99.7%	99.6%	99.7%	95.9%	95.5%	96.2%
11	99.7%	99.6%	99.7%	95.9%	95.6%	96.3%
10	99.7%	99.6%	99.7%	96%	95.7%	96.4%
9	99.7%	99.6%	99.7%	96.1%	95.7%	96.4%
8	99.7%	99.6%	99.7%	96.1%	95.8%	96.5%
7	99.7%	99.6%	99.7%	96.2%	95.9%	96.5%
6	99.7%	99.6%	99.7%	96.3%	96%	96.6%
5	99.7%	99.6%	99.7%	96.4%	96.1%	96.7%
4	99.7%	99.7%	99.7%	96.5%	96.2%	96.8%
3	99.7%	99.7%	99.7%	96.7%	96.4%	97%
2	99.7%	99.7%	99.7%	96.9%	96.6%	97.2%
1	99.7%	99.7%	99.8%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 94.3% of newborns in Denmark and 73.3% in Tanzania are expected to live past 60, 85.6% and 55.7% past 70, 67.4% and 31.5% past 80, and only 29.6% and 8.82% 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

Tanzania

Male

Female

1x

Age	Probability of dying
	Denmark			Tanzania
	Average	Male	Female	Average	Male	Female
100	35.2%	40.3%	34%	29.4%	38.6%	28.4%
99	33%	37.8%	31.7%	28.3%	37.1%	27.2%
98	30.6%	35.3%	29.3%	26.8%	35.3%	25.5%
97	28.3%	32.8%	26.9%	25.7%	33.9%	24.3%
96	26.1%	30.4%	24.6%	24.5%	32.3%	23%
95	23.9%	27.9%	22.3%	23.3%	30.7%	21.6%
94	21.8%	25.6%	20.2%	21.8%	28.9%	20.1%
93	19.8%	23.3%	18.1%	20.6%	27.3%	18.7%
92	17.8%	21%	16.1%	19.4%	25.7%	17.5%
91	16%	18.9%	14.4%	18.1%	24%	16%
90	14.3%	16.9%	12.8%	17.4%	22.9%	15.3%
89	12.7%	15.1%	11.3%	16.1%	21.3%	13.9%
88	11.4%	13.4%	9.99%	15.2%	20%	13%
87	10.1%	11.9%	8.83%	14.2%	18.6%	12%
86	8.92%	10.5%	7.79%	13.3%	17.3%	11.1%
85	7.91%	9.28%	6.88%	12.3%	16%	10.2%
84	7%	8.2%	6.06%	11.4%	14.9%	9.37%
83	6.18%	7.25%	5.33%	10.4%	13.7%	8.46%
82	5.44%	6.4%	4.67%	9.6%	12.6%	7.7%
81	4.79%	5.65%	4.08%	8.6%	11.4%	6.8%
80	4.21%	4.96%	3.55%	8.09%	10.6%	6.4%
79	3.69%	4.37%	3.1%	7.47%	9.73%	5.95%
78	3.26%	3.87%	2.73%	7.01%	9.02%	5.65%
77	2.89%	3.45%	2.41%	6.47%	8.26%	5.24%
76	2.6%	3.11%	2.14%	6.05%	7.65%	4.95%
75	2.35%	2.82%	1.92%	5.63%	7.08%	4.66%
74	2.12%	2.56%	1.73%	5.22%	6.52%	4.35%
73	1.92%	2.32%	1.55%	4.83%	6.02%	4.06%
72	1.74%	2.11%	1.4%	4.5%	5.58%	3.8%
71	1.58%	1.92%	1.26%	4.12%	5.1%	3.49%
70	1.44%	1.76%	1.14%	3.91%	4.8%	3.33%
69	1.33%	1.63%	1.04%	3.59%	4.41%	3.06%
68	1.23%	1.51%	0.96%	3.37%	4.12%	2.88%
67	1.14%	1.4%	0.9%	3.16%	3.84%	2.7%
66	1.06%	1.3%	0.83%	2.97%	3.6%	2.54%
65	0.98%	1.2%	0.77%	2.83%	3.4%	2.41%
64	0.91%	1.11%	0.71%	2.61%	3.15%	2.2%
63	0.84%	1.02%	0.65%	2.42%	2.92%	2.02%
62	0.77%	0.94%	0.6%	2.25%	2.71%	1.86%
61	0.7%	0.86%	0.54%	2.06%	2.49%	1.7%
60	0.63%	0.78%	0.49%	1.94%	2.34%	1.58%
59	0.57%	0.7%	0.44%	1.78%	2.14%	1.44%
58	0.51%	0.63%	0.39%	1.66%	1.99%	1.34%
57	0.46%	0.57%	0.35%	1.54%	1.85%	1.24%
56	0.41%	0.51%	0.32%	1.44%	1.73%	1.16%
55	0.37%	0.44%	0.29%	1.35%	1.62%	1.09%
54	0.33%	0.39%	0.26%	1.26%	1.52%	1.02%
53	0.29%	0.35%	0.23%	1.18%	1.42%	0.95%
52	0.26%	0.31%	0.21%	1.11%	1.34%	0.9%
51	0.23%	0.28%	0.18%	1.03%	1.24%	0.83%
50	0.21%	0.26%	0.16%	0.97%	1.17%	0.79%
49	0.19%	0.23%	0.14%	0.9%	1.08%	0.73%
48	0.17%	0.21%	0.12%	0.84%	1.01%	0.68%
47	0.15%	0.18%	0.11%	0.78%	0.94%	0.63%
46	0.13%	0.16%	0.1%	0.73%	0.88%	0.59%
45	0.11%	0.14%	0.08%	0.69%	0.83%	0.56%
44	0.1%	0.12%	0.08%	0.64%	0.77%	0.52%
43	0.09%	0.11%	0.07%	0.6%	0.72%	0.49%
42	0.08%	0.1%	0.06%	0.57%	0.68%	0.47%
41	0.07%	0.09%	0.06%	0.53%	0.63%	0.44%
40	0.07%	0.08%	0.05%	0.51%	0.6%	0.42%
39	0.06%	0.08%	0.05%	0.47%	0.56%	0.39%
38	0.06%	0.07%	0.04%	0.45%	0.53%	0.37%
37	0.05%	0.06%	0.04%	0.42%	0.5%	0.34%
36	0.05%	0.06%	0.03%	0.39%	0.47%	0.33%
35	0.04%	0.06%	0.03%	0.37%	0.44%	0.31%
34	0.04%	0.05%	0.03%	0.35%	0.41%	0.29%
33	0.04%	0.05%	0.03%	0.33%	0.39%	0.27%
32	0.04%	0.05%	0.02%	0.31%	0.37%	0.25%
31	0.03%	0.04%	0.02%	0.29%	0.34%	0.24%
30	0.03%	0.04%	0.02%	0.28%	0.33%	0.23%
29	0.03%	0.04%	0.02%	0.26%	0.31%	0.21%
28	0.03%	0.04%	0.02%	0.25%	0.3%	0.2%
27	0.03%	0.04%	0.02%	0.24%	0.28%	0.19%
26	0.03%	0.04%	0.01%	0.22%	0.27%	0.18%
25	0.02%	0.04%	0.01%	0.21%	0.26%	0.17%
24	0.02%	0.03%	0.01%	0.2%	0.25%	0.16%
23	0.02%	0.03%	0.01%	0.19%	0.24%	0.15%
22	0.02%	0.03%	0.01%	0.18%	0.23%	0.14%
21	0.02%	0.03%	0.01%	0.17%	0.21%	0.13%
20	0.02%	0.03%	0.01%	0.16%	0.2%	0.13%
19	0.02%	0.03%	0.01%	0.15%	0.18%	0.12%
18	0.02%	0.02%	0.01%	0.14%	0.17%	0.11%
17	0.01%	0.02%	0.01%	0.12%	0.14%	0.1%
16	0.01%	0.01%	0.008%	0.1%	0.12%	0.09%
15	0.008%	0.009%	0.007%	0.09%	0.1%	0.08%
14	0.006%	0.007%	0.005%	0.08%	0.09%	0.07%
13	0.005%	0.005%	0.004%	0.07%	0.08%	0.06%
12	0.004%	0.005%	0.003%	0.06%	0.07%	0.06%
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%	0.06%	0.07%	0.06%
8	0.004%	0.004%	0.004%	0.07%	0.07%	0.06%
7	0.004%	0.004%	0.004%	0.08%	0.08%	0.07%
6	0.004%	0.004%	0.004%	0.08%	0.09%	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%	0.18%	0.18%	0.17%
2	0.01%	0.01%	0.01%	0.25%	0.26%	0.25%
1	0.03%	0.03%	0.03%	0.41%	0.41%	0.4%
0	0.27%	0.29%	0.24%	2.69%	2.99%	2.38%

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

The annual chance of dying is 0.27% in the birth year in Denmark and 2.69% in Tanzania, 0.03% vs 0.28% at age 30, 0.63% vs 1.94% at 60, and 4.21% vs 8.09% at 80.

Death rate by age in Denmark vs Tanzania

Chart Table

Denmark

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Denmark			Tanzania
	Total	Male	Female	Total	Male	Female
100	570	176.1	916	140.1	0.71	294.9
99	1,013	583	1,405	266.5	72.6	478
98	1,356	843	1,834	344	107.1	602
97	1,750	1,167	2,304	444	155.1	756
96	2,179	1,549	2,792	562	218.8	930
95	2,626	1,977	3,268	695	300	1,116
94	3,062	2,434	3,698	834	398	1,297
93	3,458	2,888	4,051	989	516	1,486
92	3,788	3,300	4,309	1,159	656	1,682
91	4,056	3,663	4,484	1,316	805	1,836
90	4,233	3,943	4,558	1,536	994	2,078
89	4,320	4,134	4,544	1,690	1,174	2,190
88	4,344	4,252	4,472	1,881	1,377	2,351
87	4,291	4,276	4,334	2,045	1,575	2,462
86	4,166	4,213	4,144	2,207	1,777	2,566
85	4,010	4,108	3,932	2,336	1,957	2,629
84	3,817	3,957	3,690	2,452	2,143	2,662
83	3,591	3,771	3,426	2,499	2,269	2,625
82	3,345	3,556	3,148	2,540	2,389	2,588
81	3,096	3,326	2,867	2,490	2,434	2,451
80	2,834	3,075	2,587	2,549	2,548	2,467
79	2,582	2,829	2,332	2,545	2,586	2,439
78	2,360	2,610	2,110	2,569	2,636	2,453
77	2,156	2,409	1,907	2,533	2,630	2,402
76	1,985	2,242	1,734	2,519	2,638	2,384
75	1,838	2,094	1,584	2,489	2,625	2,358
74	1,700	1,949	1,449	2,431	2,589	2,297
73	1,565	1,806	1,324	2,367	2,543	2,235
72	1,442	1,676	1,209	2,309	2,496	2,179
71	1,331	1,558	1,103	2,205	2,404	2,072
70	1,235	1,457	1,010	2,174	2,375	2,046
69	1,154	1,372	935	2,072	2,284	1,936
68	1,082	1,289	872	2,015	2,226	1,877
67	1,016	1,211	819	1,948	2,160	1,806
66	953	1,135	768	1,889	2,097	1,743
65	891	1,063	716	1,848	2,051	1,698
64	831	995	664	1,753	1,961	1,588
63	772	926	614	1,666	1,874	1,488
62	714	858	566	1,583	1,789	1,396
61	655	790	517	1,484	1,686	1,293
60	597	723	468	1,422	1,617	1,227
59	543	660	422	1,327	1,514	1,135
58	490	598	380	1,257	1,436	1,069
57	442	538	342	1,185	1,359	1,002
56	396	481	310	1,126	1,294	949
55	353	425	280.4	1,069	1,234	895
54	316	377	254	1,015	1,174	848
53	280.9	335	227	962	1,116	802
52	251.8	302	201.4	914	1,062	763
51	226.2	274.8	177.8	856	999	711
50	203.6	250.1	157	817	955	680
49	182.7	226.5	138.5	761	892	633
48	162.5	203	121.7	716	840	596
47	144.1	180.7	107.1	671	789	558
46	126.7	158.9	94.2	632	744	525
45	111.1	138.9	83.3	599	705	498
44	98.4	121.8	74.6	563	661	469
43	87.8	107.8	67.2	533	625	445
42	79.2	97.2	60.6	507	593	423
41	72.7	89.2	55.6	476	557	397
40	66.5	81.4	51.1	455	533	380
39	60.9	74.2	47	428	500	357
38	55.9	68.3	42.9	405	473	338
37	51.6	64	38.6	382	446	318
36	47.9	60.7	34.6	361	420	301
35	44.2	57.1	30.8	341	398	284.4
34	41	53.6	27.8	321	375	266.3
33	37.8	49.6	25.4	303	353	251.3
32	35.2	46.3	23.5	286.8	335	237.8
31	33	43.7	21.9	269.7	316	222.6
30	31.4	41.9	20.4	258.9	303	213.8
29	29.6	39.9	18.8	245	287.2	202.1
28	28.3	38.6	17.5	233.1	274.4	191
27	26.9	37.3	16.2	222.2	262.5	181.1
26	26	36.7	14.9	211.5	251.5	171
25	24.8	35.6	13.7	201.9	242.2	161.1
24	23.8	34.3	12.9	192.7	232.5	152.5
23	23.1	33.3	12.6	183.7	223.1	143.7
22	22.4	31.9	12.5	174.2	212.6	135.4
21	21.8	30.7	12.6	164	200.4	127
20	20.8	28.7	12.5	154.3	187.4	120.7
19	18.5	25	11.6	142.8	172.9	112.2
18	15.8	20.8	10.5	130.5	157.1	103.4
17	13.2	16.7	9.49	114.1	134.6	93.3
16	10.3	12.4	8.1	98.8	113.8	83.6
15	8.08	9.28	6.84	85	95.7	74
14	6.13	6.84	5.38	73.3	81.7	64.7
13	4.79	5.42	4.14	65.1	71.8	58.2
12	4.06	4.74	3.34	60	66.3	53.6
11	3.73	4.49	2.94	57.8	63.8	51.6
10	3.7	4.43	2.93	57.7	63	52.2
9	3.66	4.15	3.14	59.9	65.2	54.4
8	3.71	3.91	3.5	64.7	70.4	58.8
7	3.75	3.77	3.72	72.2	78.1	66.1
6	3.87	3.98	3.75	81.7	87.3	76
5	4.03	4.36	3.68	96.7	101.8	91.4
4	4.37	4.88	3.82	125.6	131.7	119.3
3	5.8	6.55	5.01	171.2	177.9	164.3
2	11.2	12.5	9.81	246.7	252.7	240.5
1	31	34.1	27.6	394	394	394
0	266.1	293.9	236.8	2,690	2,990	2,383

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 Tanzania. The median age of death is 85.2 in Denmark and 72.6 in Tanzania, 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 Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x