Life Expectancy in Bhutan vs Germany (1950-2026)

Remaining life expectancy by current age

Life expectancy is often mistaken for the average lifespan of an adult. An adult has already survived early-age mortality causes and is expected to have a longer lifespan than calculated from birth.

The life expectancy from current ages in Bhutan vs Germany: 76 years vs 82.4 at 30, 80.2 vs 85.2 at 65, 86.4 vs 89.2 at 80 — significantly higher than the 73.8 vs 81.9 years calculated at birth.

The chart and table below account for the remaining lifespan and display total life expectancy by age and gender in Bhutan and Germany.

Table

Current age, years	Total life expectancy, years
	Bhutan			Germany
	Average	Male	Female	Average	Male	Female
0	73.8	72.1	75.8	81.9	79.6	84.1
1	75	73.4	76.9	82.1	79.8	84.3
2	75.1	73.5	77	82.1	79.9	84.3
3	75.2	73.6	77.1	82.1	79.9	84.3
4	75.2	73.6	77.1	82.1	79.9	84.4
5	75.3	73.7	77.2	82.1	79.9	84.4
6	75.3	73.7	77.2	82.1	79.9	84.4
7	75.3	73.7	77.2	82.1	79.9	84.4
8	75.3	73.7	77.2	82.1	79.9	84.4
9	75.4	73.8	77.2	82.1	79.9	84.4
10	75.4	73.8	77.3	82.1	79.9	84.4
11	75.4	73.8	77.3	82.2	79.9	84.4
12	75.4	73.8	77.3	82.2	79.9	84.4
13	75.4	73.9	77.3	82.2	79.9	84.4
14	75.4	73.9	77.3	82.2	79.9	84.4
15	75.5	73.9	77.3	82.2	79.9	84.4
16	75.5	73.9	77.4	82.2	80	84.4
17	75.5	74	77.4	82.2	80	84.4
18	75.6	74	77.4	82.2	80	84.4
19	75.6	74	77.4	82.2	80	84.4
20	75.6	74.1	77.5	82.2	80	84.4
21	75.7	74.1	77.5	82.2	80	84.5
22	75.7	74.2	77.5	82.3	80.1	84.5
23	75.8	74.2	77.6	82.3	80.1	84.5
24	75.8	74.3	77.6	82.3	80.1	84.5
25	75.8	74.3	77.6	82.3	80.1	84.5
26	75.9	74.4	77.7	82.3	80.1	84.5
27	75.9	74.4	77.7	82.3	80.2	84.5
28	76	74.5	77.7	82.4	80.2	84.5
29	76	74.5	77.8	82.4	80.2	84.5
30	76	74.6	77.8	82.4	80.2	84.5
31	76.1	74.6	77.8	82.4	80.3	84.6
32	76.1	74.7	77.9	82.4	80.3	84.6
33	76.2	74.7	77.9	82.5	80.3	84.6
34	76.2	74.8	78	82.5	80.3	84.6
35	76.3	74.8	78	82.5	80.4	84.6
36	76.3	74.9	78.1	82.5	80.4	84.6
37	76.4	74.9	78.1	82.6	80.4	84.7
38	76.4	75	78.2	82.6	80.5	84.7
39	76.5	75	78.2	82.6	80.5	84.7
40	76.5	75.1	78.3	82.7	80.6	84.7
41	76.6	75.1	78.3	82.7	80.6	84.8
42	76.7	75.2	78.4	82.7	80.6	84.8
43	76.7	75.3	78.4	82.8	80.7	84.8
44	76.8	75.3	78.5	82.8	80.7	84.9
45	76.9	75.4	78.6	82.9	80.8	84.9
46	77	75.5	78.7	82.9	80.9	84.9
47	77	75.6	78.7	83	80.9	85
48	77.1	75.7	78.8	83	81	85
49	77.3	75.8	78.9	83.1	81.1	85.1
50	77.4	76	79	83.2	81.2	85.1
51	77.5	76.1	79.1	83.2	81.3	85.2
52	77.6	76.2	79.2	83.3	81.4	85.3
53	77.7	76.4	79.3	83.4	81.5	85.3
54	77.9	76.5	79.5	83.5	81.6	85.4
55	78	76.7	79.6	83.6	81.7	85.5
56	78.2	76.9	79.7	83.7	81.9	85.6
57	78.4	77.1	79.9	83.9	82	85.7
58	78.6	77.3	80	84	82.2	85.8
59	78.8	77.5	80.2	84.1	82.3	85.9
60	79	77.8	80.3	84.3	82.5	86
61	79.2	78	80.5	84.5	82.7	86.1
62	79.4	78.3	80.7	84.6	82.9	86.2
63	79.7	78.6	80.9	84.8	83.2	86.4
64	79.9	78.9	81.1	85	83.4	86.5
65	80.2	79.2	81.3	85.2	83.7	86.7
66	80.5	79.5	81.5	85.4	83.9	86.8
67	80.8	79.8	81.8	85.6	84.2	87
68	81.1	80.2	82.1	85.9	84.4	87.2
69	81.4	80.6	82.4	86.1	84.7	87.3
70	81.8	81	82.7	86.3	85	87.5
71	82.2	81.4	83	86.6	85.3	87.7
72	82.5	81.8	83.3	86.9	85.6	87.9
73	83	82.3	83.7	87.1	85.9	88.1
74	83.4	82.7	84.1	87.4	86.3	88.3
75	83.8	83.2	84.5	87.7	86.6	88.6
76	84.3	83.7	84.9	88	86.9	88.8
77	84.8	84.2	85.3	88.2	87.3	89
78	85.3	84.8	85.8	88.6	87.6	89.3
79	85.8	85.4	86.3	88.9	88	89.6
80	86.4	85.9	86.8	89.2	88.4	89.8
81	87	86.6	87.4	89.6	88.8	90.2
82	87.6	87.2	88	90	89.3	90.5
83	88.2	87.8	88.6	90.4	89.8	90.9
84	88.9	88.5	89.2	90.9	90.3	91.3
85	89.6	89.2	89.9	91.3	90.8	91.7
86	90.3	89.9	90.5	91.9	91.3	92.2
87	91	90.7	91.2	92.4	91.9	92.7
88	91.7	91.4	92	93	92.5	93.2
89	92.5	92.2	92.7	93.6	93.2	93.8
90	93.2	93	93.4	94.2	93.9	94.4
91	94	93.8	94.2	94.9	94.5	95
92	94.8	94.6	95	95.6	95.3	95.7
93	95.7	95.5	95.8	96.3	96	96.4
94	96.5	96.3	96.6	97	96.8	97.1
95	97.4	97.2	97.5	97.8	97.6	97.9
96	98.2	98.1	98.3	98.6	98.4	98.6
97	99.1	99	99.2	99.4	99.2	99.4
98	100	99.9	100.1	100.2	100.1	100.2
99	100.9	100.8	101	101	100.9	101.1
100	101.8	101.7	101.9	101.9	101.8	101.9

Odds of living to age in Bhutan vs Germany

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 86.6% in Bhutan and 93.4% in Germany are expected to survive till at least 60 years old, 71.5% and 84.3% will live to 70 years or older, 41.4% and 66.5% to 80+ years, and 8.69% and 28.7% will live past 90 years old.

For longevity rates starting from an age other than 0, use the probability of survival to an age calculator provided above.

Table

Age	Survival probability
	Bhutan			Germany
	Average	Male	Female	Average	Male	Female
1	98.3%	98.1%	98.6%	99.7%	99.7%	99.8%
2	98.2%	98%	98.5%	99.7%	99.7%	99.7%
3	98.2%	98%	98.4%	99.7%	99.7%	99.7%
4	98.1%	97.9%	98.3%	99.7%	99.7%	99.7%
5	98.1%	97.8%	98.3%	99.7%	99.7%	99.7%
6	98%	97.8%	98.2%	99.7%	99.7%	99.7%
7	98%	97.7%	98.2%	99.7%	99.6%	99.7%
8	97.9%	97.7%	98.2%	99.7%	99.6%	99.7%
9	97.9%	97.7%	98.2%	99.7%	99.6%	99.7%
10	97.9%	97.6%	98.1%	99.7%	99.6%	99.7%
11	97.9%	97.6%	98.1%	99.6%	99.6%	99.7%
12	97.8%	97.6%	98.1%	99.6%	99.6%	99.7%
13	97.8%	97.5%	98.1%	99.6%	99.6%	99.7%
14	97.8%	97.5%	98%	99.6%	99.6%	99.7%
15	97.7%	97.5%	98%	99.6%	99.6%	99.6%
16	97.7%	97.4%	98%	99.6%	99.6%	99.6%
17	97.6%	97.4%	97.9%	99.6%	99.6%	99.6%
18	97.6%	97.3%	97.9%	99.6%	99.5%	99.6%
19	97.5%	97.2%	97.9%	99.5%	99.5%	99.6%
20	97.5%	97.1%	97.8%	99.5%	99.5%	99.6%
21	97.4%	97%	97.8%	99.5%	99.4%	99.6%
22	97.3%	96.9%	97.7%	99.5%	99.4%	99.5%
23	97.2%	96.8%	97.7%	99.4%	99.4%	99.5%
24	97.2%	96.8%	97.6%	99.4%	99.3%	99.5%
25	97.1%	96.7%	97.5%	99.4%	99.3%	99.5%
26	97%	96.6%	97.5%	99.4%	99.2%	99.5%
27	96.9%	96.5%	97.4%	99.3%	99.2%	99.5%
28	96.8%	96.4%	97.3%	99.3%	99.2%	99.5%
29	96.8%	96.3%	97.3%	99.3%	99.1%	99.4%
30	96.7%	96.2%	97.2%	99.2%	99.1%	99.4%
31	96.6%	96.1%	97.1%	99.2%	99%	99.4%
32	96.5%	96%	97%	99.2%	99%	99.4%
33	96.4%	95.9%	96.9%	99.1%	98.9%	99.3%
34	96.3%	95.8%	96.8%	99.1%	98.9%	99.3%
35	96.2%	95.7%	96.7%	99%	98.8%	99.3%
36	96.1%	95.5%	96.6%	99%	98.7%	99.2%
37	95.9%	95.4%	96.5%	98.9%	98.6%	99.2%
38	95.8%	95.3%	96.4%	98.8%	98.6%	99.1%
39	95.7%	95.1%	96.3%	98.8%	98.5%	99.1%
40	95.5%	95%	96.1%	98.7%	98.4%	99%
41	95.4%	94.8%	96%	98.6%	98.3%	99%
42	95.2%	94.6%	95.8%	98.5%	98.1%	98.9%
43	95%	94.4%	95.7%	98.4%	98%	98.8%
44	94.8%	94.2%	95.5%	98.3%	97.9%	98.8%
45	94.6%	93.9%	95.3%	98.2%	97.7%	98.7%
46	94.3%	93.7%	95.1%	98%	97.6%	98.6%
47	94%	93.3%	94.8%	97.9%	97.4%	98.5%
48	93.7%	93%	94.6%	97.7%	97.2%	98.3%
49	93.4%	92.6%	94.3%	97.5%	96.9%	98.2%
50	93%	92.2%	94%	97.3%	96.7%	98%
51	92.6%	91.7%	93.6%	97.1%	96.4%	97.9%
52	92.1%	91.2%	93.2%	96.9%	96.1%	97.7%
53	91.6%	90.6%	92.9%	96.6%	95.7%	97.5%
54	91.1%	90%	92.4%	96.3%	95.3%	97.2%
55	90.5%	89.3%	92%	95.9%	94.8%	97%
56	89.9%	88.5%	91.5%	95.5%	94.3%	96.7%
57	89.1%	87.7%	90.9%	95.1%	93.8%	96.4%
58	88.3%	86.7%	90.3%	94.6%	93.1%	96%
59	87.5%	85.7%	89.6%	94%	92.5%	95.7%
60	86.6%	84.6%	88.9%	93.4%	91.7%	95.2%
61	85.5%	83.3%	88.2%	92.8%	90.9%	94.8%
62	84.4%	82%	87.3%	92.1%	90%	94.3%
63	83.2%	80.6%	86.4%	91.3%	89%	93.8%
64	81.9%	79.1%	85.4%	90.5%	88%	93.2%
65	80.5%	77.4%	84.3%	89.6%	86.8%	92.6%
66	79%	75.6%	83%	88.7%	85.6%	91.9%
67	77.4%	73.7%	81.7%	87.7%	84.3%	91.2%
68	75.5%	71.6%	80.2%	86.6%	83%	90.4%
69	73.6%	69.4%	78.5%	85.5%	81.6%	89.5%
70	71.5%	67%	76.7%	84.3%	80%	88.6%
71	69.2%	64.5%	74.7%	83%	78.4%	87.6%
72	66.7%	61.8%	72.5%	81.6%	76.7%	86.5%
73	64.1%	58.9%	70.2%	80.1%	74.9%	85.4%
74	61.3%	55.9%	67.6%	78.5%	73%	84.1%
75	58.4%	52.8%	64.9%	76.9%	71%	82.8%
76	55.3%	49.6%	62%	75.1%	68.9%	81.4%
77	52%	46.2%	58.8%	73.2%	66.7%	79.8%
78	48.6%	42.7%	55.5%	71.2%	64.3%	78.1%
79	45%	39.2%	52%	68.9%	61.7%	76.2%
80	41.4%	35.7%	48.3%	66.5%	58.9%	74%
81	37.7%	32.1%	44.4%	63.8%	56%	71.6%
82	33.9%	28.5%	40.4%	60.8%	52.8%	68.9%
83	30.2%	25.1%	36.4%	57.6%	49.3%	65.8%
84	26.5%	21.7%	32.3%	54%	45.7%	62.4%
85	23%	18.5%	28.4%	50.3%	41.9%	58.6%
86	19.6%	15.5%	24.6%	46.2%	37.9%	54.5%
87	16.4%	12.7%	21%	42%	33.8%	50.1%
88	13.6%	10.3%	17.6%	37.6%	29.7%	45.4%
89	11%	8.1%	14.5%	33.1%	25.6%	40.5%
90	8.69%	6.25%	11.8%	28.7%	21.7%	35.6%
91	6.74%	4.71%	9.31%	24.3%	18%	30.6%
92	5.11%	3.46%	7.21%	20.2%	14.5%	25.7%
93	3.78%	2.48%	5.45%	16.4%	11.4%	21.1%
94	2.72%	1.73%	4.02%	12.9%	8.74%	16.9%
95	1.91%	1.17%	2.89%	9.89%	6.48%	13.1%
96	1.31%	0.77%	2.02%	7.35%	4.66%	9.89%
97	0.87%	0.49%	1.37%	5.28%	3.24%	7.19%
98	0.56%	0.3%	0.91%	3.66%	2.17%	5.04%
99	0.35%	0.18%	0.58%	2.44%	1.4%	3.4%
100	0.21%	0.1%	0.36%	1.57%	0.87%	2.2%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.66% in the birth year in Bhutan and 0.26% in Germany, 0.09% vs 0.04% at age 30, 1.17% vs 0.69% at 60, and 8.98% vs 4.06% at 80.

Below is a graph displaying the probabilities of dying in Bhutan compared to Germany at any given age.

Table

Age	Probability of dying
	Bhutan			Germany
	Average	Male	Female	Average	Male	Female
0	1.66%	1.86%	1.44%	0.26%	0.28%	0.24%
1	0.1%	0.1%	0.1%	0.03%	0.03%	0.02%
2	0.08%	0.08%	0.08%	0.01%	0.01%	0.009%
3	0.07%	0.07%	0.06%	0.009%	0.009%	0.008%
4	0.05%	0.06%	0.05%	0.008%	0.009%	0.008%
5	0.05%	0.05%	0.04%	0.008%	0.008%	0.007%
6	0.04%	0.04%	0.03%	0.007%	0.008%	0.006%
7	0.03%	0.04%	0.03%	0.006%	0.007%	0.005%
8	0.03%	0.04%	0.02%	0.006%	0.007%	0.005%
9	0.03%	0.03%	0.02%	0.006%	0.006%	0.005%
10	0.03%	0.03%	0.02%	0.006%	0.006%	0.005%
11	0.03%	0.03%	0.02%	0.006%	0.006%	0.006%
12	0.03%	0.03%	0.02%	0.007%	0.007%	0.007%
13	0.03%	0.04%	0.03%	0.008%	0.008%	0.008%
14	0.04%	0.04%	0.03%	0.009%	0.01%	0.009%
15	0.04%	0.05%	0.03%	0.01%	0.01%	0.01%
16	0.05%	0.06%	0.04%	0.02%	0.02%	0.01%
17	0.06%	0.07%	0.04%	0.02%	0.03%	0.01%
18	0.06%	0.08%	0.05%	0.02%	0.03%	0.01%
19	0.07%	0.09%	0.05%	0.03%	0.03%	0.02%
20	0.07%	0.09%	0.05%	0.03%	0.04%	0.02%
21	0.08%	0.1%	0.06%	0.03%	0.04%	0.01%
22	0.08%	0.1%	0.06%	0.03%	0.04%	0.01%
23	0.08%	0.1%	0.06%	0.03%	0.04%	0.02%
24	0.08%	0.1%	0.06%	0.03%	0.04%	0.02%
25	0.08%	0.1%	0.07%	0.03%	0.04%	0.02%
26	0.08%	0.1%	0.07%	0.03%	0.04%	0.02%
27	0.08%	0.1%	0.07%	0.03%	0.04%	0.02%
28	0.09%	0.1%	0.08%	0.03%	0.04%	0.02%
29	0.09%	0.1%	0.08%	0.04%	0.05%	0.02%
30	0.09%	0.1%	0.08%	0.04%	0.05%	0.03%
31	0.1%	0.1%	0.09%	0.04%	0.05%	0.03%
32	0.1%	0.11%	0.09%	0.05%	0.06%	0.03%
33	0.11%	0.11%	0.1%	0.05%	0.06%	0.03%
34	0.11%	0.12%	0.1%	0.05%	0.07%	0.04%
35	0.12%	0.13%	0.11%	0.06%	0.07%	0.04%
36	0.12%	0.13%	0.11%	0.06%	0.08%	0.04%
37	0.13%	0.14%	0.12%	0.07%	0.08%	0.05%
38	0.14%	0.15%	0.13%	0.07%	0.09%	0.05%
39	0.15%	0.16%	0.14%	0.08%	0.1%	0.06%
40	0.17%	0.18%	0.15%	0.09%	0.11%	0.06%
41	0.18%	0.2%	0.16%	0.09%	0.12%	0.07%
42	0.2%	0.22%	0.18%	0.1%	0.13%	0.07%
43	0.22%	0.24%	0.19%	0.11%	0.14%	0.08%
44	0.24%	0.27%	0.21%	0.12%	0.16%	0.09%
45	0.27%	0.3%	0.23%	0.14%	0.17%	0.1%
46	0.3%	0.34%	0.25%	0.15%	0.19%	0.11%
47	0.33%	0.38%	0.28%	0.17%	0.21%	0.12%
48	0.37%	0.42%	0.3%	0.19%	0.24%	0.14%
49	0.4%	0.46%	0.33%	0.21%	0.27%	0.16%
50	0.44%	0.51%	0.36%	0.24%	0.3%	0.17%
51	0.49%	0.56%	0.39%	0.26%	0.33%	0.19%
52	0.54%	0.63%	0.42%	0.29%	0.38%	0.21%
53	0.59%	0.7%	0.46%	0.33%	0.43%	0.24%
54	0.65%	0.78%	0.5%	0.37%	0.48%	0.26%
55	0.72%	0.87%	0.55%	0.42%	0.54%	0.29%
56	0.8%	0.97%	0.6%	0.46%	0.6%	0.33%
57	0.88%	1.08%	0.66%	0.51%	0.66%	0.36%
58	0.97%	1.19%	0.72%	0.57%	0.74%	0.39%
59	1.07%	1.31%	0.79%	0.62%	0.81%	0.44%
60	1.17%	1.44%	0.87%	0.69%	0.89%	0.48%
61	1.29%	1.58%	0.96%	0.75%	0.98%	0.52%
62	1.41%	1.73%	1.06%	0.82%	1.08%	0.57%
63	1.55%	1.9%	1.17%	0.9%	1.19%	0.62%
64	1.71%	2.09%	1.31%	0.98%	1.29%	0.67%
65	1.9%	2.31%	1.46%	1.05%	1.39%	0.73%
66	2.11%	2.55%	1.64%	1.14%	1.49%	0.79%
67	2.34%	2.82%	1.84%	1.23%	1.61%	0.86%
68	2.6%	3.11%	2.07%	1.32%	1.73%	0.94%
69	2.88%	3.44%	2.32%	1.42%	1.86%	1.02%
70	3.19%	3.79%	2.6%	1.54%	2.01%	1.12%
71	3.54%	4.18%	2.91%	1.67%	2.17%	1.23%
72	3.92%	4.61%	3.25%	1.8%	2.34%	1.34%
73	4.35%	5.07%	3.63%	1.95%	2.53%	1.45%
74	4.82%	5.59%	4.05%	2.12%	2.74%	1.59%
75	5.33%	6.15%	4.52%	2.31%	2.99%	1.74%
76	5.91%	6.78%	5.06%	2.53%	3.26%	1.92%
77	6.56%	7.47%	5.67%	2.8%	3.59%	2.14%
78	7.28%	8.24%	6.37%	3.13%	3.98%	2.44%
79	8.09%	9.09%	7.15%	3.56%	4.47%	2.82%
80	8.98%	10%	8.02%	4.06%	5.05%	3.29%
81	9.96%	11.1%	8.96%	4.65%	5.72%	3.83%
82	11%	12.2%	9.98%	5.32%	6.49%	4.45%
83	12.2%	13.4%	11.1%	6.11%	7.38%	5.17%
84	13.4%	14.8%	12.2%	7.01%	8.39%	6.01%
85	14.7%	16.2%	13.4%	8.04%	9.54%	6.99%
86	16.1%	17.8%	14.7%	9.19%	10.8%	8.11%
87	17.6%	19.4%	16%	10.5%	12.2%	9.36%
88	19.1%	21.1%	17.5%	11.9%	13.7%	10.7%
89	20.7%	22.8%	19.1%	13.4%	15.4%	12.3%
90	22.5%	24.6%	20.8%	15.1%	17.1%	14%
91	24.2%	26.5%	22.6%	17%	19.1%	15.9%
92	26.1%	28.4%	24.4%	19%	21.3%	17.9%
93	27.9%	30.3%	26.3%	21.1%	23.6%	20%
94	29.8%	32.3%	28.1%	23.3%	25.9%	22.2%
95	31.7%	34.3%	30%	25.7%	28.2%	24.7%
96	33.7%	36.3%	32%	28.2%	30.5%	27.3%
97	35.6%	38.3%	34%	30.7%	32.9%	30%
98	37.6%	40.3%	36%	33.3%	35.4%	32.6%
99	39.6%	42.2%	38%	35.8%	37.9%	35.2%
100	41.5%	44.3%	40%	38.4%	40.3%	37.9%

Death rate by age in Bhutan compared to Germany

In Bhutan, the most common age of death is 81, compared to 88 in Germany. The median age of death is 77.6 in Bhutan and 85.1 in Germany — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bhutan			Germany
	Total	Male	Female	Total	Male	Female
0	1,655	1,861	1,440	263.3	281	244.7
1	96.8	94	99.8	27.4	29.9	24.7
2	78.6	80.1	77.1	10.1	11	9.22
3	64.3	68.3	60	8.73	9.26	8.17
4	53	58.5	47.2	8.4	8.73	8.05
5	44.3	50.3	37.9	7.69	8.09	7.28
6	37.6	43.7	31.2	6.74	7.49	5.95
7	32.7	38.4	26.7	5.96	6.94	4.91
8	29.2	34.5	23.7	5.54	6.48	4.56
9	27.2	31.9	22	5.49	6.23	4.71
10	26.2	30.6	21.3	5.74	6.23	5.22
11	26.4	30.8	21.6	6.08	6.17	5.99
12	27.9	32.5	22.8	6.7	6.53	6.87
13	30.7	36	24.8	7.7	7.78	7.61
14	34.9	41.5	27.7	9.35	10.1	8.53
15	40.6	49	31.3	12	13.8	10.2
16	47.4	58.1	35.5	15.5	18.8	12.1
17	54.7	68	39.9	19.5	25.1	13.6
18	61.8	77.7	44.2	22.9	30.7	14.5
19	67.8	85.7	48.2	25.3	34.6	15.4
20	72.4	91.5	51.6	26.1	36	15.5
21	75.5	94.7	54.6	25.6	36	14.7
22	77.4	95.9	57.3	25.7	36.2	14.6
23	78.5	95.7	59.9	26.2	36.7	15
24	79.3	94.7	62.5	26.9	37.6	15.2
25	80.1	93.6	65.3	27.6	38.6	15.7
26	81	92.6	68.1	28.6	39.3	16.8
27	82.4	92.3	70.9	30	40.3	18.5
28	84.2	92.9	73.9	32.1	42.4	20.8
29	86.6	94.4	76.9	34.9	45.3	23.4
30	89.5	96.8	80.2	38.5	49.5	26.4
31	93	100	83.9	42	54	28.8
32	97	103.9	88	44.7	58.3	30
33	101.7	108.5	92.7	47.6	61.9	32.2
34	107	113.8	98.1	51	65.8	35.2
35	113.1	119.9	104.2	55	71.1	37.8
36	119.9	126.9	110.9	59.4	77	40.6
37	127.7	135.2	118.3	64.7	83.1	44.9
38	136.8	144.9	126.3	70.3	89.5	49.8
39	147.1	156.5	135.1	76.9	97.9	54.6
40	159.2	170.2	145	84.2	107.7	59.5
41	173.2	186.5	156.2	91.5	117.1	64.6
42	189.6	205.7	169.1	99.4	126.7	71
43	208.8	228.2	184.2	108.4	137.1	78.7
44	230.7	254	201.4	120.3	152.3	87.5
45	255.5	283.2	220.8	134.2	170.5	97.3
46	282.8	315	242	149.1	188.7	108.9
47	312	350	264.6	165.7	208.4	122.3
48	343	388	288.2	185.3	232.3	137.5
49	377	428	313	207	259.3	153.8
50	412	471	339	229.5	287.6	170.4
51	451	518	366	254.5	320	188
52	494	571	396	284.9	360	208.4
53	542	631	429	320	407	231.5
54	595	699	466	358	456	256.9
55	655	775	506	398	508	285.7
56	719	857	551	441	563	316
57	787	943	600	487	623	346
58	859	1,033	652	535	687	378
59	935	1,124	709	587	753	416
60	1,015	1,218	772	642	821	457
61	1,101	1,317	842	699	895	495
62	1,193	1,421	922	757	972	534
63	1,293	1,534	1,012	821	1,055	579
64	1,404	1,656	1,115	884	1,135	627
65	1,528	1,788	1,231	943	1,205	676
66	1,664	1,929	1,361	1,007	1,280	730
67	1,809	2,077	1,503	1,075	1,357	788
68	1,961	2,230	1,657	1,142	1,432	848
69	2,119	2,386	1,820	1,217	1,514	916
70	2,281	2,541	1,992	1,300	1,607	995
71	2,449	2,696	2,171	1,389	1,705	1,078
72	2,618	2,846	2,356	1,471	1,797	1,157
73	2,787	2,990	2,545	1,560	1,893	1,240
74	2,953	3,125	2,738	1,662	2,004	1,335
75	3,113	3,248	2,935	1,777	2,125	1,442
76	3,267	3,358	3,135	1,900	2,250	1,561
77	3,409	3,451	3,336	2,048	2,391	1,710
78	3,536	3,521	3,533	2,230	2,560	1,904
79	3,643	3,564	3,714	2,452	2,760	2,150
80	3,718	3,576	3,867	2,702	2,979	2,436
81	3,754	3,550	3,979	2,964	3,202	2,740
82	3,741	3,482	4,033	3,238	3,424	3,062
83	3,674	3,367	4,022	3,517	3,640	3,402
84	3,551	3,206	3,943	3,788	3,836	3,753
85	3,375	2,998	3,803	4,039	3,995	4,101
86	3,150	2,749	3,608	4,248	4,095	4,424
87	2,886	2,466	3,368	4,390	4,114	4,689
88	2,591	2,162	3,089	4,458	4,061	4,878
89	2,275	1,849	2,779	4,447	3,930	4,984
90	1,952	1,541	2,447	4,341	3,710	4,988
91	1,633	1,249	2,102	4,141	3,427	4,868
92	1,331	984	1,759	3,843	3,091	4,602
93	1,054	753	1,431	3,456	2,699	4,218
94	811	558	1,131	3,012	2,264	3,756
95	606	401	868	2,537	1,824	3,236
96	439	278.9	647	2,070	1,421	2,698
97	309	187.5	467	1,623	1,066	2,155
98	209.6	121.7	326	1,217	768	1,642
99	137.5	76.2	220.6	874	530	1,197
100	0	0	21.2	411	149.7	645

The chart above shows the number of deaths by age and gender per a 100,000 cohort of newborns, illustrating the distribution of expected mortality throughout life.

Note that the graph above does not represent rates per 100,000 population, as this would be skewed by age distribution and reveal more about Bhutan and Germany demographics than the death rate. It also does not represent rates per 100,000 people in an age group, as this would be just the probability of death.

Life expectancy in other countries

Relevant pages:

• Life expectancy World
• Bhutan vs Germany: Complete comparison

By topic vs comparisons:

• Birth rate
• Demographics
• Economy
• Population
• Population density
• Size