Life Expectancy in Bhutan vs Germany (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Germany

Male

Female

1x

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

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 Bhutan can expect to live to 76 years compared to 82.4 in Germany, rising to 80.2 and 85.2 at 65, and to 86.4 and 89.2 at 80 — higher than the 73.8 and 81.9 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Germany

Male

Female

1x

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

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 93.4% in Germany are expected to live past 60, 71.5% and 84.3% past 70, 41.4% and 66.5% past 80, and only 8.69% and 28.7% past 90.

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

Odds of dying at each age

Chart Table

Bhutan

Male

Female

Germany

Male

Female

1x

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

This chart displays the probability of dying at any given age in Bhutan compared to Germany, as 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.

Death rate by age in Bhutan vs Germany

Chart Table

Bhutan

Male

Female

Germany

Male

Female

1x

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

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 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, 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 Bhutan and Germany more than their death rates.

Life expectancy in other countries

+ -

1x