Life Expectancy in Bhutan vs Zimbabwe (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Zimbabwe

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.2	101.9	102.2
99	100.9	100.8	101	101.2	101	101.3
98	100	99.9	100.1	100.4	100.1	100.4
97	99.1	99	99.2	99.5	99.2	99.5
96	98.2	98.1	98.3	98.6	98.4	98.7
95	97.4	97.2	97.5	97.7	97.5	97.8
94	96.5	96.3	96.6	96.9	96.6	97
93	95.7	95.5	95.8	96	95.7	96.1
92	94.8	94.6	95	95.2	94.9	95.3
91	94	93.8	94.2	94.4	94	94.5
90	93.2	93	93.4	93.6	93.2	93.8
89	92.5	92.2	92.7	92.8	92.4	93
88	91.7	91.4	92	92	91.6	92.2
87	91	90.7	91.2	91.2	90.8	91.5
86	90.3	89.9	90.5	90.5	90	90.8
85	89.6	89.2	89.9	89.8	89.2	90.1
84	88.9	88.5	89.2	89	88.4	89.4
83	88.2	87.8	88.6	88.4	87.7	88.7
82	87.6	87.2	88	87.7	87	88.1
81	87	86.6	87.4	87	86.3	87.5
80	86.4	85.9	86.8	86.4	85.6	86.9
79	85.8	85.4	86.3	85.8	84.9	86.3
78	85.3	84.8	85.8	85.1	84.2	85.7
77	84.8	84.2	85.3	84.5	83.6	85.2
76	84.3	83.7	84.9	83.9	83	84.6
75	83.8	83.2	84.5	83.4	82.3	84.1
74	83.4	82.7	84.1	82.8	81.7	83.5
73	83	82.3	83.7	82.2	81.2	83
72	82.5	81.8	83.3	81.7	80.6	82.5
71	82.2	81.4	83	81.2	80	82.1
70	81.8	81	82.7	80.7	79.5	81.6
69	81.4	80.6	82.4	80.2	79	81.1
68	81.1	80.2	82.1	79.7	78.4	80.7
67	80.8	79.8	81.8	79.2	77.9	80.2
66	80.5	79.5	81.5	78.8	77.5	79.8
65	80.2	79.2	81.3	78.3	77	79.4
64	79.9	78.9	81.1	77.9	76.5	79
63	79.7	78.6	80.9	77.5	76.1	78.6
62	79.4	78.3	80.7	77.1	75.6	78.2
61	79.2	78	80.5	76.7	75.2	77.9
60	79	77.8	80.3	76.3	74.8	77.5
59	78.8	77.5	80.2	75.9	74.4	77.2
58	78.6	77.3	80	75.6	74	76.9
57	78.4	77.1	79.9	75.2	73.6	76.6
56	78.2	76.9	79.7	74.9	73.2	76.3
55	78	76.7	79.6	74.6	72.8	76
54	77.9	76.5	79.5	74.2	72.5	75.7
53	77.7	76.4	79.3	73.9	72.1	75.4
52	77.6	76.2	79.2	73.6	71.8	75.1
51	77.5	76.1	79.1	73.3	71.4	74.8
50	77.4	76	79	73	71.1	74.6
49	77.3	75.8	78.9	72.7	70.8	74.3
48	77.1	75.7	78.8	72.5	70.5	74
47	77	75.6	78.7	72.2	70.2	73.8
46	77	75.5	78.7	71.9	69.9	73.6
45	76.9	75.4	78.6	71.7	69.6	73.3
44	76.8	75.3	78.5	71.4	69.3	73.1
43	76.7	75.3	78.4	71.2	69	72.9
42	76.7	75.2	78.4	70.9	68.7	72.7
41	76.6	75.1	78.3	70.7	68.5	72.5
40	76.5	75.1	78.3	70.5	68.2	72.2
39	76.5	75	78.2	70.2	68	72
38	76.4	75	78.2	70	67.8	71.9
37	76.4	74.9	78.1	69.8	67.5	71.7
36	76.3	74.9	78.1	69.6	67.3	71.5
35	76.3	74.8	78	69.4	67.1	71.3
34	76.2	74.8	78	69.2	66.9	71.1
33	76.2	74.7	77.9	69	66.7	71
32	76.1	74.7	77.9	68.9	66.5	70.8
31	76.1	74.6	77.8	68.7	66.3	70.6
30	76	74.6	77.8	68.5	66.2	70.5
29	76	74.5	77.8	68.4	66	70.4
28	76	74.5	77.7	68.2	65.8	70.2
27	75.9	74.4	77.7	68.1	65.7	70.1
26	75.9	74.4	77.7	68	65.5	70
25	75.8	74.3	77.6	67.8	65.4	69.8
24	75.8	74.3	77.6	67.7	65.3	69.7
23	75.8	74.2	77.6	67.6	65.1	69.6
22	75.7	74.2	77.5	67.5	65	69.5
21	75.7	74.1	77.5	67.4	64.9	69.4
20	75.6	74.1	77.5	67.3	64.8	69.3
19	75.6	74	77.4	67.2	64.7	69.3
18	75.6	74	77.4	67.1	64.6	69.2
17	75.5	74	77.4	67	64.5	69.1
16	75.5	73.9	77.4	67	64.4	69.1
15	75.5	73.9	77.3	66.9	64.4	69
14	75.4	73.9	77.3	66.8	64.3	69
13	75.4	73.9	77.3	66.8	64.3	68.9
12	75.4	73.8	77.3	66.8	64.2	68.9
11	75.4	73.8	77.3	66.7	64.2	68.8
10	75.4	73.8	77.3	66.7	64.2	68.8
9	75.4	73.8	77.2	66.6	64.1	68.8
8	75.3	73.7	77.2	66.6	64.1	68.7
7	75.3	73.7	77.2	66.5	64	68.7
6	75.3	73.7	77.2	66.5	64	68.6
5	75.3	73.7	77.2	66.4	63.9	68.5
4	75.2	73.6	77.1	66.3	63.8	68.4
3	75.2	73.6	77.1	66.2	63.6	68.3
2	75.1	73.5	77	66	63.5	68.1
1	75	73.4	76.9	65.6	63.2	67.7
0	73.8	72.1	75.8	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 Bhutan can expect to live to 76 years compared to 68.5 in Zimbabwe, rising to 80.2 and 78.3 at 65, and to 86.4 and 86.4 at 80 — higher than the 73.8 and 63.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Zimbabwe

Male

Female

1x

Age	Survival probability
	Bhutan			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	0.2%	0.07%	0.33%
99	0.35%	0.18%	0.58%	0.31%	0.12%	0.5%
98	0.56%	0.3%	0.91%	0.46%	0.18%	0.73%
97	0.87%	0.49%	1.37%	0.66%	0.27%	1.05%
96	1.31%	0.77%	2.02%	0.94%	0.4%	1.47%
95	1.91%	1.17%	2.89%	1.3%	0.59%	2.02%
94	2.72%	1.73%	4.02%	1.77%	0.83%	2.71%
93	3.78%	2.48%	5.45%	2.36%	1.15%	3.55%
92	5.11%	3.46%	7.21%	3.08%	1.57%	4.57%
91	6.74%	4.71%	9.31%	3.95%	2.09%	5.75%
90	8.69%	6.25%	11.8%	4.99%	2.73%	7.15%
89	11%	8.1%	14.5%	6.18%	3.51%	8.72%
88	13.6%	10.3%	17.6%	7.56%	4.44%	10.5%
87	16.4%	12.7%	21%	9.1%	5.53%	12.4%
86	19.6%	15.5%	24.6%	10.8%	6.78%	14.5%
85	23%	18.5%	28.4%	12.7%	8.2%	16.8%
84	26.5%	21.7%	32.3%	14.7%	9.78%	19.1%
83	30.2%	25.1%	36.4%	16.8%	11.5%	21.5%
82	33.9%	28.5%	40.4%	19%	13.4%	24%
81	37.7%	32.1%	44.4%	21.2%	15.4%	26.4%
80	41.4%	35.7%	48.3%	23.5%	17.5%	28.8%
79	45%	39.2%	52%	25.9%	19.7%	31.3%
78	48.6%	42.7%	55.5%	28.3%	21.9%	33.8%
77	52%	46.2%	58.8%	30.7%	24.3%	36.3%
76	55.3%	49.6%	62%	33.2%	26.6%	38.7%
75	58.4%	52.8%	64.9%	35.6%	29%	41.2%
74	61.3%	55.9%	67.6%	38%	31.4%	43.6%
73	64.1%	58.9%	70.2%	40.4%	33.9%	45.9%
72	66.7%	61.8%	72.5%	42.8%	36.3%	48.2%
71	69.2%	64.5%	74.7%	45.1%	38.6%	50.4%
70	71.5%	67%	76.7%	47.3%	40.9%	52.6%
69	73.6%	69.4%	78.5%	49.5%	43.2%	54.7%
68	75.5%	71.6%	80.2%	51.6%	45.4%	56.7%
67	77.4%	73.7%	81.7%	53.6%	47.6%	58.6%
66	79%	75.6%	83%	55.6%	49.7%	60.5%
65	80.5%	77.4%	84.3%	57.6%	51.8%	62.3%
64	81.9%	79.1%	85.4%	59.5%	53.8%	64%
63	83.2%	80.6%	86.4%	61.2%	55.8%	65.7%
62	84.4%	82%	87.3%	63%	57.7%	67.2%
61	85.5%	83.3%	88.2%	64.6%	59.5%	68.7%
60	86.6%	84.6%	88.9%	66.2%	61.2%	70.1%
59	87.5%	85.7%	89.6%	67.6%	62.9%	71.4%
58	88.3%	86.7%	90.3%	69.1%	64.5%	72.7%
57	89.1%	87.7%	90.9%	70.4%	66%	73.9%
56	89.9%	88.5%	91.5%	71.7%	67.5%	75%
55	90.5%	89.3%	92%	72.9%	69%	76.1%
54	91.1%	90%	92.4%	74.1%	70.3%	77.2%
53	91.6%	90.6%	92.9%	75.2%	71.7%	78.2%
52	92.1%	91.2%	93.2%	76.3%	73%	79.1%
51	92.6%	91.7%	93.6%	77.4%	74.2%	80.1%
50	93%	92.2%	94%	78.4%	75.4%	81%
49	93.4%	92.6%	94.3%	79.4%	76.6%	81.8%
48	93.7%	93%	94.6%	80.3%	77.7%	82.6%
47	94%	93.3%	94.8%	81.2%	78.7%	83.4%
46	94.3%	93.7%	95.1%	82%	79.7%	84.1%
45	94.6%	93.9%	95.3%	82.9%	80.7%	84.8%
44	94.8%	94.2%	95.5%	83.6%	81.6%	85.5%
43	95%	94.4%	95.7%	84.4%	82.5%	86.1%
42	95.2%	94.6%	95.8%	85.1%	83.3%	86.7%
41	95.4%	94.8%	96%	85.8%	84.1%	87.3%
40	95.5%	95%	96.1%	86.4%	84.9%	87.9%
39	95.7%	95.1%	96.3%	87.1%	85.6%	88.4%
38	95.8%	95.3%	96.4%	87.7%	86.3%	89%
37	95.9%	95.4%	96.5%	88.2%	86.9%	89.5%
36	96.1%	95.5%	96.6%	88.8%	87.5%	89.9%
35	96.2%	95.7%	96.7%	89.3%	88.1%	90.4%
34	96.3%	95.8%	96.8%	89.8%	88.7%	90.8%
33	96.4%	95.9%	96.9%	90.2%	89.2%	91.2%
32	96.5%	96%	97%	90.7%	89.7%	91.6%
31	96.6%	96.1%	97.1%	91.1%	90.1%	91.9%
30	96.7%	96.2%	97.2%	91.4%	90.6%	92.3%
29	96.8%	96.3%	97.3%	91.8%	91%	92.6%
28	96.8%	96.4%	97.3%	92.1%	91.4%	92.9%
27	96.9%	96.5%	97.4%	92.5%	91.7%	93.2%
26	97%	96.6%	97.5%	92.8%	92.1%	93.5%
25	97.1%	96.7%	97.5%	93.1%	92.4%	93.7%
24	97.2%	96.8%	97.6%	93.3%	92.7%	93.9%
23	97.2%	96.8%	97.7%	93.6%	93%	94.2%
22	97.3%	96.9%	97.7%	93.8%	93.3%	94.4%
21	97.4%	97%	97.8%	94%	93.5%	94.5%
20	97.5%	97.1%	97.8%	94.2%	93.8%	94.7%
19	97.5%	97.2%	97.9%	94.4%	94%	94.9%
18	97.6%	97.3%	97.9%	94.6%	94.2%	95%
17	97.6%	97.4%	97.9%	94.7%	94.3%	95.1%
16	97.7%	97.4%	98%	94.8%	94.5%	95.2%
15	97.7%	97.5%	98%	94.9%	94.6%	95.3%
14	97.8%	97.5%	98%	95%	94.7%	95.4%
13	97.8%	97.5%	98.1%	95.1%	94.8%	95.5%
12	97.8%	97.6%	98.1%	95.2%	94.8%	95.6%
11	97.9%	97.6%	98.1%	95.3%	94.9%	95.6%
10	97.9%	97.6%	98.1%	95.3%	95%	95.7%
9	97.9%	97.7%	98.2%	95.4%	95.1%	95.8%
8	97.9%	97.7%	98.2%	95.5%	95.1%	95.8%
7	98%	97.7%	98.2%	95.6%	95.2%	95.9%
6	98%	97.8%	98.2%	95.7%	95.3%	96%
5	98.1%	97.8%	98.3%	95.8%	95.5%	96.1%
4	98.1%	97.9%	98.3%	95.9%	95.6%	96.3%
3	98.2%	98%	98.4%	96.2%	95.8%	96.5%
2	98.2%	98%	98.5%	96.5%	96.1%	96.8%
1	98.3%	98.1%	98.6%	96.9%	96.6%	97.3%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 66.2% in Zimbabwe are expected to live past 60, 71.5% and 47.3% past 70, 41.4% and 23.5% past 80, and only 8.69% 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

Bhutan

Male

Female

Zimbabwe

Male

Female

1x

Age	Probability of dying
	Bhutan			Zimbabwe
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	35.7%	38.2%	35%
99	39.6%	42.2%	38%	34.3%	36.9%	33.6%
98	37.6%	40.3%	36%	32.4%	35.2%	31.7%
97	35.6%	38.3%	34%	31.1%	33.9%	30.2%
96	33.7%	36.3%	32%	29.6%	32.5%	28.7%
95	31.7%	34.3%	30%	28.1%	31%	27.1%
94	29.8%	32.3%	28.1%	26.4%	29.5%	25.4%
93	27.9%	30.3%	26.3%	24.9%	27.9%	23.7%
92	26.1%	28.4%	24.4%	23.5%	26.4%	22.2%
91	24.2%	26.5%	22.6%	21.9%	24.9%	20.6%
90	22.5%	24.6%	20.8%	20.9%	23.7%	19.6%
89	20.7%	22.8%	19.1%	19.3%	22.2%	18%
88	19.1%	21.1%	17.5%	18.2%	20.9%	16.8%
87	17.6%	19.4%	16%	16.9%	19.7%	15.6%
86	16.1%	17.8%	14.7%	15.8%	18.5%	14.5%
85	14.7%	16.2%	13.4%	14.7%	17.3%	13.3%
84	13.4%	14.8%	12.2%	13.6%	16.2%	12.3%
83	12.2%	13.4%	11.1%	12.5%	15%	11.2%
82	11%	12.2%	9.98%	11.6%	14%	10.2%
81	9.96%	11.1%	8.96%	10.5%	12.9%	9.17%
80	8.98%	10%	8.02%	9.89%	12.1%	8.58%
79	8.09%	9.09%	7.15%	9.11%	11.1%	7.87%
78	7.28%	8.24%	6.37%	8.54%	10.4%	7.38%
77	6.56%	7.47%	5.67%	7.89%	9.57%	6.81%
76	5.91%	6.78%	5.06%	7.37%	8.9%	6.37%
75	5.33%	6.15%	4.52%	6.87%	8.28%	5.94%
74	4.82%	5.59%	4.05%	6.38%	7.68%	5.51%
73	4.35%	5.07%	3.63%	5.92%	7.12%	5.11%
72	3.92%	4.61%	3.25%	5.51%	6.62%	4.76%
71	3.54%	4.18%	2.91%	5.06%	6.09%	4.37%
70	3.19%	3.79%	2.6%	4.75%	5.7%	4.11%
69	2.88%	3.44%	2.32%	4.38%	5.25%	3.78%
68	2.6%	3.11%	2.07%	4.09%	4.9%	3.54%
67	2.34%	2.82%	1.84%	3.82%	4.56%	3.31%
66	2.11%	2.55%	1.64%	3.58%	4.26%	3.1%
65	1.9%	2.31%	1.46%	3.38%	4.01%	2.93%
64	1.71%	2.09%	1.31%	3.14%	3.74%	2.7%
63	1.55%	1.9%	1.17%	2.92%	3.5%	2.49%
62	1.41%	1.73%	1.06%	2.73%	3.28%	2.31%
61	1.29%	1.58%	0.96%	2.53%	3.04%	2.13%
60	1.17%	1.44%	0.87%	2.37%	2.87%	1.99%
59	1.07%	1.31%	0.79%	2.19%	2.65%	1.85%
58	0.97%	1.19%	0.72%	2.04%	2.48%	1.73%
57	0.88%	1.08%	0.66%	1.91%	2.33%	1.62%
56	0.8%	0.97%	0.6%	1.79%	2.2%	1.53%
55	0.72%	0.87%	0.55%	1.69%	2.09%	1.44%
54	0.65%	0.78%	0.5%	1.6%	1.97%	1.36%
53	0.59%	0.7%	0.46%	1.52%	1.87%	1.29%
52	0.54%	0.63%	0.42%	1.44%	1.78%	1.23%
51	0.49%	0.56%	0.39%	1.36%	1.68%	1.15%
50	0.44%	0.51%	0.36%	1.3%	1.6%	1.1%
49	0.4%	0.46%	0.33%	1.22%	1.5%	1.03%
48	0.37%	0.42%	0.3%	1.16%	1.41%	0.98%
47	0.33%	0.38%	0.28%	1.09%	1.33%	0.92%
46	0.3%	0.34%	0.25%	1.04%	1.25%	0.87%
45	0.27%	0.3%	0.23%	0.99%	1.19%	0.83%
44	0.24%	0.27%	0.21%	0.93%	1.12%	0.78%
43	0.22%	0.24%	0.19%	0.89%	1.06%	0.75%
42	0.2%	0.22%	0.18%	0.84%	1%	0.71%
41	0.18%	0.2%	0.16%	0.8%	0.95%	0.68%
40	0.17%	0.18%	0.15%	0.76%	0.9%	0.65%
39	0.15%	0.16%	0.14%	0.72%	0.85%	0.62%
38	0.14%	0.15%	0.13%	0.68%	0.8%	0.59%
37	0.13%	0.14%	0.12%	0.64%	0.75%	0.55%
36	0.12%	0.13%	0.11%	0.61%	0.71%	0.53%
35	0.12%	0.13%	0.11%	0.57%	0.66%	0.5%
34	0.11%	0.12%	0.1%	0.54%	0.62%	0.47%
33	0.11%	0.11%	0.1%	0.5%	0.58%	0.44%
32	0.1%	0.11%	0.09%	0.47%	0.54%	0.41%
31	0.1%	0.1%	0.09%	0.44%	0.51%	0.39%
30	0.09%	0.1%	0.08%	0.42%	0.48%	0.37%
29	0.09%	0.1%	0.08%	0.4%	0.45%	0.35%
28	0.09%	0.1%	0.08%	0.37%	0.42%	0.33%
27	0.08%	0.1%	0.07%	0.35%	0.4%	0.31%
26	0.08%	0.1%	0.07%	0.33%	0.37%	0.29%
25	0.08%	0.1%	0.07%	0.31%	0.35%	0.26%
24	0.08%	0.1%	0.06%	0.29%	0.33%	0.25%
23	0.08%	0.1%	0.06%	0.27%	0.31%	0.23%
22	0.08%	0.1%	0.06%	0.25%	0.29%	0.21%
21	0.08%	0.1%	0.06%	0.23%	0.27%	0.19%
20	0.07%	0.09%	0.05%	0.21%	0.25%	0.18%
19	0.07%	0.09%	0.05%	0.19%	0.22%	0.16%
18	0.06%	0.08%	0.05%	0.17%	0.2%	0.15%
17	0.06%	0.07%	0.04%	0.15%	0.17%	0.13%
16	0.05%	0.06%	0.04%	0.13%	0.14%	0.12%
15	0.04%	0.05%	0.03%	0.11%	0.12%	0.1%
14	0.04%	0.04%	0.03%	0.1%	0.1%	0.09%
13	0.03%	0.04%	0.03%	0.08%	0.09%	0.08%
12	0.03%	0.03%	0.02%	0.08%	0.08%	0.07%
11	0.03%	0.03%	0.02%	0.07%	0.08%	0.07%
10	0.03%	0.03%	0.02%	0.07%	0.08%	0.07%
9	0.03%	0.03%	0.02%	0.08%	0.08%	0.07%
8	0.03%	0.04%	0.02%	0.08%	0.09%	0.08%
7	0.03%	0.04%	0.03%	0.09%	0.1%	0.09%
6	0.04%	0.04%	0.03%	0.1%	0.11%	0.1%
5	0.05%	0.05%	0.04%	0.12%	0.13%	0.12%
4	0.05%	0.06%	0.05%	0.16%	0.17%	0.16%
3	0.07%	0.07%	0.06%	0.22%	0.22%	0.22%
2	0.08%	0.08%	0.08%	0.32%	0.32%	0.32%
1	0.1%	0.1%	0.1%	0.5%	0.48%	0.52%
0	1.66%	1.86%	1.44%	3.05%	3.4%	2.7%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 3.05% in Zimbabwe, 0.09% vs 0.42% at age 30, 1.17% vs 2.37% at 60, and 8.98% vs 9.89% at 80.

Death rate by age in Bhutan vs Zimbabwe

Chart Table

Bhutan

Male

Female

Zimbabwe

Male

Female

1x

Age	Death rate
	Bhutan			Zimbabwe
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	24.9	0	53
99	137.5	76.2	220.6	105.4	43.2	168.4
98	209.6	121.7	326	147.6	63.5	232.4
97	309	187.5	467	205	92.4	318
96	439	278.9	647	277.6	131.3	423
95	606	401	868	366	181.8	548
94	811	558	1,131	469	244.7	687
93	1,054	753	1,431	588	322	843
92	1,331	984	1,759	724	414	1,016
91	1,633	1,249	2,102	863	518	1,184
90	1,952	1,541	2,447	1,040	647	1,401
89	2,275	1,849	2,779	1,196	779	1,570
88	2,591	2,162	3,089	1,372	930	1,762
87	2,886	2,466	3,368	1,540	1,088	1,934
86	3,150	2,749	3,608	1,709	1,253	2,102
85	3,375	2,998	3,803	1,858	1,418	2,232
84	3,551	3,206	3,943	1,999	1,583	2,345
83	3,674	3,367	4,022	2,102	1,730	2,403
82	3,741	3,482	4,033	2,197	1,873	2,450
81	3,754	3,550	3,979	2,235	1,982	2,419
80	3,718	3,576	3,867	2,328	2,113	2,474
79	3,643	3,564	3,714	2,358	2,186	2,465
78	3,536	3,521	3,533	2,416	2,272	2,497
77	3,409	3,451	3,336	2,424	2,321	2,470
76	3,267	3,358	3,135	2,444	2,370	2,468
75	3,113	3,248	2,935	2,448	2,404	2,446
74	2,953	3,125	2,738	2,427	2,414	2,401
73	2,787	2,990	2,545	2,393	2,412	2,346
72	2,618	2,846	2,356	2,356	2,400	2,294
71	2,449	2,696	2,171	2,281	2,352	2,203
70	2,281	2,541	1,992	2,250	2,336	2,164
69	2,119	2,386	1,820	2,166	2,269	2,069
68	1,961	2,230	1,657	2,111	2,224	2,007
67	1,809	2,077	1,503	2,050	2,172	1,938
66	1,664	1,929	1,361	1,993	2,121	1,875
65	1,528	1,788	1,231	1,945	2,075	1,824
64	1,404	1,656	1,115	1,866	2,014	1,726
63	1,293	1,534	1,012	1,790	1,952	1,636
62	1,193	1,421	922	1,718	1,890	1,553
61	1,101	1,317	842	1,632	1,809	1,463
60	1,015	1,218	772	1,571	1,756	1,398
59	935	1,124	709	1,481	1,664	1,318
58	859	1,033	652	1,411	1,599	1,257
57	787	943	600	1,341	1,537	1,197
56	719	857	551	1,284	1,485	1,146
55	655	775	506	1,233	1,440	1,097
54	595	699	466	1,184	1,389	1,052
53	542	631	429	1,140	1,342	1,009
52	494	571	396	1,100	1,298	971
51	451	518	366	1,050	1,245	925
50	412	471	339	1,018	1,207	892
49	377	428	313	969	1,146	846
48	343	388	288.2	929	1,096	806
47	312	350	264.6	888	1,046	766
46	282.8	315	242	850	1,000	731
45	255.5	283.2	220.8	816	958	702
44	230.7	254	201.4	779	911	669
43	208.8	228.2	184.2	747	871	642
42	189.6	205.7	169.1	717	834	617
41	173.2	186.5	156.2	685	795	592
40	159.2	170.2	145	659	766	571
39	147.1	156.5	135.1	627	725	545
38	136.8	144.9	126.3	599	691	522
37	127.7	135.2	118.3	568	655	496
36	119.9	126.9	110.9	539	619	473
35	113.1	119.9	104.2	512	586	450
34	107	113.8	98.1	481	550	423
33	101.7	108.5	92.7	453	517	400
32	97	103.9	88	428	487	379
31	93	100	83.9	403	458	356
30	89.5	96.8	80.2	385	436	341
29	86.6	94.4	76.9	363	409	323
28	84.2	92.9	73.9	343	387	303
27	82.4	92.3	70.9	324	365	286.2
26	81	92.6	68.1	304	344	267.1
25	80.1	93.6	65.3	286.4	326	248.2
24	79.3	94.7	62.5	268.5	307	231.1
23	78.5	95.7	59.9	251.5	289	214.4
22	77.4	95.9	57.3	234.1	270.1	198.3
21	75.5	94.7	54.6	216.1	249.9	182.2
20	72.4	91.5	51.6	200.4	229.9	170.6
19	67.8	85.7	48.2	182.4	209.2	155.3
18	61.8	77.7	44.2	164.9	188.9	140.6
17	54.7	68	39.9	143.2	161.3	124.9
16	47.4	58.1	35.5	122.8	135.4	110
15	40.6	49	31.3	106.1	114.9	97.1
14	34.9	41.5	27.7	90.9	97.8	83.9
13	30.7	36	24.8	80.4	85.9	74.8
12	27.9	32.5	22.8	73.9	79.4	68.4
11	26.4	30.8	21.6	70.9	76.1	65.5
10	26.2	30.6	21.3	70.4	74.5	66.2
9	27.2	31.9	22	72.9	76.9	68.8
8	29.2	34.5	23.7	78.6	83.3	73.8
7	32.7	38.4	26.7	87.5	92.4	82.5
6	37.6	43.7	31.2	98.5	103	94
5	44.3	50.3	37.9	116.6	119.9	113.1
4	53	58.5	47.2	153.9	157.9	149.8
3	64.3	68.3	60	211.7	213.4	209.9
2	78.6	80.1	77.1	308	305	311
1	96.8	94	99.8	484	463	505
0	1,655	1,861	1,440	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 Bhutan, the most common age of death is 81, compared to 0 in Zimbabwe. The median age of death is 77.6 in Bhutan 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 Bhutan and Zimbabwe more than their death rates.

Life expectancy in other countries

+ -

1x