Life Expectancy in Bhutan vs Tanzania (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

Tanzania

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			Tanzania
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	102.5	101.9	102.6
99	100.9	100.8	101	101.7	101	101.7
98	100	99.9	100.1	100.8	100.1	100.9
97	99.1	99	99.2	100	99.2	100.1
96	98.2	98.1	98.3	99.1	98.4	99.3
95	97.4	97.2	97.5	98.3	97.5	98.4
94	96.5	96.3	96.6	97.4	96.6	97.7
93	95.7	95.5	95.8	96.6	95.8	96.9
92	94.8	94.6	95	95.8	94.9	96.1
91	94	93.8	94.2	95.1	94.1	95.4
90	93.2	93	93.4	94.3	93.3	94.6
89	92.5	92.2	92.7	93.5	92.5	93.9
88	91.7	91.4	92	92.7	91.7	93.2
87	91	90.7	91.2	92	90.9	92.5
86	90.3	89.9	90.5	91.3	90.1	91.9
85	89.6	89.2	89.9	90.6	89.4	91.2
84	88.9	88.5	89.2	89.9	88.7	90.6
83	88.2	87.8	88.6	89.2	88	90
82	87.6	87.2	88	88.6	87.3	89.4
81	87	86.6	87.4	87.9	86.6	88.9
80	86.4	85.9	86.8	87.3	86	88.3
79	85.8	85.4	86.3	86.8	85.3	87.8
78	85.3	84.8	85.8	86.2	84.7	87.3
77	84.8	84.2	85.3	85.6	84.1	86.8
76	84.3	83.7	84.9	85.1	83.5	86.3
75	83.8	83.2	84.5	84.5	83	85.8
74	83.4	82.7	84.1	84	82.4	85.3
73	83	82.3	83.7	83.5	81.9	84.8
72	82.5	81.8	83.3	83	81.4	84.3
71	82.2	81.4	83	82.5	80.9	83.9
70	81.8	81	82.7	82.1	80.4	83.4
69	81.4	80.6	82.4	81.6	79.9	83
68	81.1	80.2	82.1	81.2	79.4	82.6
67	80.8	79.8	81.8	80.7	79	82.2
66	80.5	79.5	81.5	80.3	78.5	81.8
65	80.2	79.2	81.3	79.9	78.1	81.4
64	79.9	78.9	81.1	79.5	77.6	81
63	79.7	78.6	80.9	79.1	77.2	80.7
62	79.4	78.3	80.7	78.7	76.8	80.3
61	79.2	78	80.5	78.4	76.4	80
60	79	77.8	80.3	78	76.1	79.7
59	78.8	77.5	80.2	77.7	75.7	79.4
58	78.6	77.3	80	77.4	75.4	79.1
57	78.4	77.1	79.9	77.1	75	78.9
56	78.2	76.9	79.7	76.8	74.7	78.6
55	78	76.7	79.6	76.5	74.4	78.3
54	77.9	76.5	79.5	76.2	74.1	78.1
53	77.7	76.4	79.3	75.9	73.8	77.9
52	77.6	76.2	79.2	75.7	73.5	77.6
51	77.5	76.1	79.1	75.4	73.3	77.4
50	77.4	76	79	75.2	73	77.2
49	77.3	75.8	78.9	75	72.7	77
48	77.1	75.7	78.8	74.7	72.5	76.8
47	77	75.6	78.7	74.5	72.3	76.6
46	77	75.5	78.7	74.3	72	76.5
45	76.9	75.4	78.6	74.1	71.8	76.3
44	76.8	75.3	78.5	73.9	71.6	76.1
43	76.7	75.3	78.4	73.8	71.4	76
42	76.7	75.2	78.4	73.6	71.2	75.8
41	76.6	75.1	78.3	73.4	71	75.6
40	76.5	75.1	78.3	73.2	70.8	75.5
39	76.5	75	78.2	73.1	70.7	75.4
38	76.4	75	78.2	72.9	70.5	75.2
37	76.4	74.9	78.1	72.8	70.3	75.1
36	76.3	74.9	78.1	72.6	70.2	75
35	76.3	74.8	78	72.5	70	74.8
34	76.2	74.8	78	72.4	69.9	74.7
33	76.2	74.7	77.9	72.2	69.7	74.6
32	76.1	74.7	77.9	72.1	69.6	74.5
31	76.1	74.6	77.8	72	69.5	74.4
30	76	74.6	77.8	71.9	69.3	74.3
29	76	74.5	77.8	71.8	69.2	74.2
28	76	74.5	77.7	71.7	69.1	74.1
27	75.9	74.4	77.7	71.6	69	74
26	75.9	74.4	77.7	71.4	68.9	73.9
25	75.8	74.3	77.6	71.4	68.7	73.9
24	75.8	74.3	77.6	71.3	68.6	73.8
23	75.8	74.2	77.6	71.2	68.5	73.7
22	75.7	74.2	77.5	71.1	68.4	73.6
21	75.7	74.1	77.5	71	68.3	73.6
20	75.6	74.1	77.5	70.9	68.2	73.5
19	75.6	74	77.4	70.8	68.1	73.4
18	75.6	74	77.4	70.8	68.1	73.4
17	75.5	74	77.4	70.7	68	73.3
16	75.5	73.9	77.4	70.6	67.9	73.3
15	75.5	73.9	77.3	70.6	67.9	73.2
14	75.4	73.9	77.3	70.5	67.8	73.2
13	75.4	73.9	77.3	70.5	67.8	73.2
12	75.4	73.8	77.3	70.5	67.7	73.1
11	75.4	73.8	77.3	70.4	67.7	73.1
10	75.4	73.8	77.3	70.4	67.7	73.1
9	75.4	73.8	77.2	70.4	67.6	73
8	75.3	73.7	77.2	70.3	67.6	73
7	75.3	73.7	77.2	70.3	67.5	72.9
6	75.3	73.7	77.2	70.2	67.5	72.9
5	75.3	73.7	77.2	70.2	67.4	72.8
4	75.2	73.6	77.1	70.1	67.3	72.7
3	75.2	73.6	77.1	69.9	67.2	72.6
2	75.1	73.5	77	69.8	67	72.4
1	75	73.4	76.9	69.5	66.8	72.2
0	73.8	72.1	75.8	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 Bhutan can expect to live to 76 years compared to 71.9 in Tanzania, rising to 80.2 and 79.9 at 65, and to 86.4 and 87.3 at 80 — higher than the 73.8 and 67.6 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

Tanzania

Male

Female

1x

Age	Survival probability
	Bhutan			Tanzania
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	0.67%	0.12%	1.28%
99	0.35%	0.18%	0.58%	0.94%	0.2%	1.76%
98	0.56%	0.3%	0.91%	1.29%	0.3%	2.36%
97	0.87%	0.49%	1.37%	1.73%	0.46%	3.12%
96	1.31%	0.77%	2.02%	2.29%	0.68%	4.05%
95	1.91%	1.17%	2.89%	2.99%	0.98%	5.16%
94	2.72%	1.73%	4.02%	3.82%	1.38%	6.46%
93	3.78%	2.48%	5.45%	4.81%	1.89%	7.95%
92	5.11%	3.46%	7.21%	5.97%	2.55%	9.63%
91	6.74%	4.71%	9.31%	7.28%	3.35%	11.5%
90	8.69%	6.25%	11.8%	8.82%	4.35%	13.5%
89	11%	8.1%	14.5%	10.5%	5.52%	15.7%
88	13.6%	10.3%	17.6%	12.4%	6.9%	18.1%
87	16.4%	12.7%	21%	14.4%	8.47%	20.5%
86	19.6%	15.5%	24.6%	16.6%	10.2%	23.1%
85	23%	18.5%	28.4%	19%	12.2%	25.7%
84	26.5%	21.7%	32.3%	21.4%	14.3%	28.4%
83	30.2%	25.1%	36.4%	23.9%	16.6%	31%
82	33.9%	28.5%	40.4%	26.5%	19%	33.6%
81	37.7%	32.1%	44.4%	29%	21.4%	36.1%
80	41.4%	35.7%	48.3%	31.5%	24%	38.5%
79	45%	39.2%	52%	34.1%	26.6%	41%
78	48.6%	42.7%	55.5%	36.6%	29.2%	43.4%
77	52%	46.2%	58.8%	39.2%	31.8%	45.8%
76	55.3%	49.6%	62%	41.7%	34.5%	48.2%
75	58.4%	52.8%	64.9%	44.2%	37.1%	50.6%
74	61.3%	55.9%	67.6%	46.6%	39.7%	52.9%
73	64.1%	58.9%	70.2%	49%	42.2%	55.1%
72	66.7%	61.8%	72.5%	51.3%	44.7%	57.3%
71	69.2%	64.5%	74.7%	53.5%	47.1%	59.4%
70	71.5%	67%	76.7%	55.7%	49.5%	61.4%
69	73.6%	69.4%	78.5%	57.7%	51.8%	63.3%
68	75.5%	71.6%	80.2%	59.7%	54%	65.2%
67	77.4%	73.7%	81.7%	61.7%	56.2%	67%
66	79%	75.6%	83%	63.6%	58.3%	68.8%
65	80.5%	77.4%	84.3%	65.4%	60.3%	70.5%
64	81.9%	79.1%	85.4%	67.2%	62.3%	72%
63	83.2%	80.6%	86.4%	68.8%	64.2%	73.5%
62	84.4%	82%	87.3%	70.4%	66%	74.9%
61	85.5%	83.3%	88.2%	71.9%	67.6%	76.2%
60	86.6%	84.6%	88.9%	73.3%	69.3%	77.5%
59	87.5%	85.7%	89.6%	74.7%	70.8%	78.6%
58	88.3%	86.7%	90.3%	75.9%	72.2%	79.7%
57	89.1%	87.7%	90.9%	77.1%	73.6%	80.7%
56	89.9%	88.5%	91.5%	78.2%	74.9%	81.6%
55	90.5%	89.3%	92%	79.3%	76.1%	82.5%
54	91.1%	90%	92.4%	80.3%	77.3%	83.3%
53	91.6%	90.6%	92.9%	81.3%	78.4%	84.2%
52	92.1%	91.2%	93.2%	82.2%	79.4%	84.9%
51	92.6%	91.7%	93.6%	83%	80.4%	85.6%
50	93%	92.2%	94%	83.9%	81.4%	86.3%
49	93.4%	92.6%	94.3%	84.6%	82.3%	86.9%
48	93.7%	93%	94.6%	85.3%	83.1%	87.5%
47	94%	93.3%	94.8%	86%	83.9%	88.1%
46	94.3%	93.7%	95.1%	86.6%	84.7%	88.6%
45	94.6%	93.9%	95.3%	87.2%	85.4%	89.1%
44	94.8%	94.2%	95.5%	87.8%	86%	89.6%
43	95%	94.4%	95.7%	88.3%	86.7%	90%
42	95.2%	94.6%	95.8%	88.8%	87.2%	90.5%
41	95.4%	94.8%	96%	89.3%	87.8%	90.8%
40	95.5%	95%	96.1%	89.8%	88.3%	91.2%
39	95.7%	95.1%	96.3%	90.2%	88.8%	91.6%
38	95.8%	95.3%	96.4%	90.6%	89.3%	91.9%
37	95.9%	95.4%	96.5%	91%	89.8%	92.2%
36	96.1%	95.5%	96.6%	91.3%	90.2%	92.5%
35	96.2%	95.7%	96.7%	91.7%	90.6%	92.8%
34	96.3%	95.8%	96.8%	92%	90.9%	93.1%
33	96.4%	95.9%	96.9%	92.3%	91.3%	93.3%
32	96.5%	96%	97%	92.6%	91.6%	93.6%
31	96.6%	96.1%	97.1%	92.9%	92%	93.8%
30	96.7%	96.2%	97.2%	93.1%	92.3%	94%
29	96.8%	96.3%	97.3%	93.4%	92.5%	94.2%
28	96.8%	96.4%	97.3%	93.6%	92.8%	94.4%
27	96.9%	96.5%	97.4%	93.8%	93.1%	94.6%
26	97%	96.6%	97.5%	94%	93.3%	94.8%
25	97.1%	96.7%	97.5%	94.2%	93.6%	94.9%
24	97.2%	96.8%	97.6%	94.4%	93.8%	95.1%
23	97.2%	96.8%	97.7%	94.6%	94%	95.2%
22	97.3%	96.9%	97.7%	94.8%	94.2%	95.4%
21	97.4%	97%	97.8%	95%	94.4%	95.5%
20	97.5%	97.1%	97.8%	95.1%	94.6%	95.6%
19	97.5%	97.2%	97.9%	95.3%	94.8%	95.7%
18	97.6%	97.3%	97.9%	95.4%	95%	95.8%
17	97.6%	97.4%	97.9%	95.5%	95.1%	95.9%
16	97.7%	97.4%	98%	95.6%	95.2%	96%
15	97.7%	97.5%	98%	95.7%	95.3%	96.1%
14	97.8%	97.5%	98%	95.8%	95.4%	96.1%
13	97.8%	97.5%	98.1%	95.8%	95.5%	96.2%
12	97.8%	97.6%	98.1%	95.9%	95.5%	96.2%
11	97.9%	97.6%	98.1%	95.9%	95.6%	96.3%
10	97.9%	97.6%	98.1%	96%	95.7%	96.4%
9	97.9%	97.7%	98.2%	96.1%	95.7%	96.4%
8	97.9%	97.7%	98.2%	96.1%	95.8%	96.5%
7	98%	97.7%	98.2%	96.2%	95.9%	96.5%
6	98%	97.8%	98.2%	96.3%	96%	96.6%
5	98.1%	97.8%	98.3%	96.4%	96.1%	96.7%
4	98.1%	97.9%	98.3%	96.5%	96.2%	96.8%
3	98.2%	98%	98.4%	96.7%	96.4%	97%
2	98.2%	98%	98.5%	96.9%	96.6%	97.2%
1	98.3%	98.1%	98.6%	97.3%	97%	97.6%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 73.3% in Tanzania are expected to live past 60, 71.5% and 55.7% past 70, 41.4% and 31.5% past 80, and only 8.69% 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

Bhutan

Male

Female

Tanzania

Male

Female

1x

Age	Probability of dying
	Bhutan			Tanzania
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	29.4%	38.6%	28.4%
99	39.6%	42.2%	38%	28.3%	37.1%	27.2%
98	37.6%	40.3%	36%	26.8%	35.3%	25.5%
97	35.6%	38.3%	34%	25.7%	33.9%	24.3%
96	33.7%	36.3%	32%	24.5%	32.3%	23%
95	31.7%	34.3%	30%	23.3%	30.7%	21.6%
94	29.8%	32.3%	28.1%	21.8%	28.9%	20.1%
93	27.9%	30.3%	26.3%	20.6%	27.3%	18.7%
92	26.1%	28.4%	24.4%	19.4%	25.7%	17.5%
91	24.2%	26.5%	22.6%	18.1%	24%	16%
90	22.5%	24.6%	20.8%	17.4%	22.9%	15.3%
89	20.7%	22.8%	19.1%	16.1%	21.3%	13.9%
88	19.1%	21.1%	17.5%	15.2%	20%	13%
87	17.6%	19.4%	16%	14.2%	18.6%	12%
86	16.1%	17.8%	14.7%	13.3%	17.3%	11.1%
85	14.7%	16.2%	13.4%	12.3%	16%	10.2%
84	13.4%	14.8%	12.2%	11.4%	14.9%	9.37%
83	12.2%	13.4%	11.1%	10.4%	13.7%	8.46%
82	11%	12.2%	9.98%	9.6%	12.6%	7.7%
81	9.96%	11.1%	8.96%	8.6%	11.4%	6.8%
80	8.98%	10%	8.02%	8.09%	10.6%	6.4%
79	8.09%	9.09%	7.15%	7.47%	9.73%	5.95%
78	7.28%	8.24%	6.37%	7.01%	9.02%	5.65%
77	6.56%	7.47%	5.67%	6.47%	8.26%	5.24%
76	5.91%	6.78%	5.06%	6.05%	7.65%	4.95%
75	5.33%	6.15%	4.52%	5.63%	7.08%	4.66%
74	4.82%	5.59%	4.05%	5.22%	6.52%	4.35%
73	4.35%	5.07%	3.63%	4.83%	6.02%	4.06%
72	3.92%	4.61%	3.25%	4.5%	5.58%	3.8%
71	3.54%	4.18%	2.91%	4.12%	5.1%	3.49%
70	3.19%	3.79%	2.6%	3.91%	4.8%	3.33%
69	2.88%	3.44%	2.32%	3.59%	4.41%	3.06%
68	2.6%	3.11%	2.07%	3.37%	4.12%	2.88%
67	2.34%	2.82%	1.84%	3.16%	3.84%	2.7%
66	2.11%	2.55%	1.64%	2.97%	3.6%	2.54%
65	1.9%	2.31%	1.46%	2.83%	3.4%	2.41%
64	1.71%	2.09%	1.31%	2.61%	3.15%	2.2%
63	1.55%	1.9%	1.17%	2.42%	2.92%	2.02%
62	1.41%	1.73%	1.06%	2.25%	2.71%	1.86%
61	1.29%	1.58%	0.96%	2.06%	2.49%	1.7%
60	1.17%	1.44%	0.87%	1.94%	2.34%	1.58%
59	1.07%	1.31%	0.79%	1.78%	2.14%	1.44%
58	0.97%	1.19%	0.72%	1.66%	1.99%	1.34%
57	0.88%	1.08%	0.66%	1.54%	1.85%	1.24%
56	0.8%	0.97%	0.6%	1.44%	1.73%	1.16%
55	0.72%	0.87%	0.55%	1.35%	1.62%	1.09%
54	0.65%	0.78%	0.5%	1.26%	1.52%	1.02%
53	0.59%	0.7%	0.46%	1.18%	1.42%	0.95%
52	0.54%	0.63%	0.42%	1.11%	1.34%	0.9%
51	0.49%	0.56%	0.39%	1.03%	1.24%	0.83%
50	0.44%	0.51%	0.36%	0.97%	1.17%	0.79%
49	0.4%	0.46%	0.33%	0.9%	1.08%	0.73%
48	0.37%	0.42%	0.3%	0.84%	1.01%	0.68%
47	0.33%	0.38%	0.28%	0.78%	0.94%	0.63%
46	0.3%	0.34%	0.25%	0.73%	0.88%	0.59%
45	0.27%	0.3%	0.23%	0.69%	0.83%	0.56%
44	0.24%	0.27%	0.21%	0.64%	0.77%	0.52%
43	0.22%	0.24%	0.19%	0.6%	0.72%	0.49%
42	0.2%	0.22%	0.18%	0.57%	0.68%	0.47%
41	0.18%	0.2%	0.16%	0.53%	0.63%	0.44%
40	0.17%	0.18%	0.15%	0.51%	0.6%	0.42%
39	0.15%	0.16%	0.14%	0.47%	0.56%	0.39%
38	0.14%	0.15%	0.13%	0.45%	0.53%	0.37%
37	0.13%	0.14%	0.12%	0.42%	0.5%	0.34%
36	0.12%	0.13%	0.11%	0.39%	0.47%	0.33%
35	0.12%	0.13%	0.11%	0.37%	0.44%	0.31%
34	0.11%	0.12%	0.1%	0.35%	0.41%	0.29%
33	0.11%	0.11%	0.1%	0.33%	0.39%	0.27%
32	0.1%	0.11%	0.09%	0.31%	0.37%	0.25%
31	0.1%	0.1%	0.09%	0.29%	0.34%	0.24%
30	0.09%	0.1%	0.08%	0.28%	0.33%	0.23%
29	0.09%	0.1%	0.08%	0.26%	0.31%	0.21%
28	0.09%	0.1%	0.08%	0.25%	0.3%	0.2%
27	0.08%	0.1%	0.07%	0.24%	0.28%	0.19%
26	0.08%	0.1%	0.07%	0.22%	0.27%	0.18%
25	0.08%	0.1%	0.07%	0.21%	0.26%	0.17%
24	0.08%	0.1%	0.06%	0.2%	0.25%	0.16%
23	0.08%	0.1%	0.06%	0.19%	0.24%	0.15%
22	0.08%	0.1%	0.06%	0.18%	0.23%	0.14%
21	0.08%	0.1%	0.06%	0.17%	0.21%	0.13%
20	0.07%	0.09%	0.05%	0.16%	0.2%	0.13%
19	0.07%	0.09%	0.05%	0.15%	0.18%	0.12%
18	0.06%	0.08%	0.05%	0.14%	0.17%	0.11%
17	0.06%	0.07%	0.04%	0.12%	0.14%	0.1%
16	0.05%	0.06%	0.04%	0.1%	0.12%	0.09%
15	0.04%	0.05%	0.03%	0.09%	0.1%	0.08%
14	0.04%	0.04%	0.03%	0.08%	0.09%	0.07%
13	0.03%	0.04%	0.03%	0.07%	0.08%	0.06%
12	0.03%	0.03%	0.02%	0.06%	0.07%	0.06%
11	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
10	0.03%	0.03%	0.02%	0.06%	0.07%	0.05%
9	0.03%	0.03%	0.02%	0.06%	0.07%	0.06%
8	0.03%	0.04%	0.02%	0.07%	0.07%	0.06%
7	0.03%	0.04%	0.03%	0.08%	0.08%	0.07%
6	0.04%	0.04%	0.03%	0.08%	0.09%	0.08%
5	0.05%	0.05%	0.04%	0.1%	0.11%	0.09%
4	0.05%	0.06%	0.05%	0.13%	0.14%	0.12%
3	0.07%	0.07%	0.06%	0.18%	0.18%	0.17%
2	0.08%	0.08%	0.08%	0.25%	0.26%	0.25%
1	0.1%	0.1%	0.1%	0.41%	0.41%	0.4%
0	1.66%	1.86%	1.44%	2.69%	2.99%	2.38%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 2.69% in Tanzania, 0.09% vs 0.28% at age 30, 1.17% vs 1.94% at 60, and 8.98% vs 8.09% at 80.

Death rate by age in Bhutan vs Tanzania

Chart Table

Bhutan

Male

Female

Tanzania

Male

Female

1x

Age	Death rate
	Bhutan			Tanzania
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	140.1	0.71	294.9
99	137.5	76.2	220.6	266.5	72.6	478
98	209.6	121.7	326	344	107.1	602
97	309	187.5	467	444	155.1	756
96	439	278.9	647	562	218.8	930
95	606	401	868	695	300	1,116
94	811	558	1,131	834	398	1,297
93	1,054	753	1,431	989	516	1,486
92	1,331	984	1,759	1,159	656	1,682
91	1,633	1,249	2,102	1,316	805	1,836
90	1,952	1,541	2,447	1,536	994	2,078
89	2,275	1,849	2,779	1,690	1,174	2,190
88	2,591	2,162	3,089	1,881	1,377	2,351
87	2,886	2,466	3,368	2,045	1,575	2,462
86	3,150	2,749	3,608	2,207	1,777	2,566
85	3,375	2,998	3,803	2,336	1,957	2,629
84	3,551	3,206	3,943	2,452	2,143	2,662
83	3,674	3,367	4,022	2,499	2,269	2,625
82	3,741	3,482	4,033	2,540	2,389	2,588
81	3,754	3,550	3,979	2,490	2,434	2,451
80	3,718	3,576	3,867	2,549	2,548	2,467
79	3,643	3,564	3,714	2,545	2,586	2,439
78	3,536	3,521	3,533	2,569	2,636	2,453
77	3,409	3,451	3,336	2,533	2,630	2,402
76	3,267	3,358	3,135	2,519	2,638	2,384
75	3,113	3,248	2,935	2,489	2,625	2,358
74	2,953	3,125	2,738	2,431	2,589	2,297
73	2,787	2,990	2,545	2,367	2,543	2,235
72	2,618	2,846	2,356	2,309	2,496	2,179
71	2,449	2,696	2,171	2,205	2,404	2,072
70	2,281	2,541	1,992	2,174	2,375	2,046
69	2,119	2,386	1,820	2,072	2,284	1,936
68	1,961	2,230	1,657	2,015	2,226	1,877
67	1,809	2,077	1,503	1,948	2,160	1,806
66	1,664	1,929	1,361	1,889	2,097	1,743
65	1,528	1,788	1,231	1,848	2,051	1,698
64	1,404	1,656	1,115	1,753	1,961	1,588
63	1,293	1,534	1,012	1,666	1,874	1,488
62	1,193	1,421	922	1,583	1,789	1,396
61	1,101	1,317	842	1,484	1,686	1,293
60	1,015	1,218	772	1,422	1,617	1,227
59	935	1,124	709	1,327	1,514	1,135
58	859	1,033	652	1,257	1,436	1,069
57	787	943	600	1,185	1,359	1,002
56	719	857	551	1,126	1,294	949
55	655	775	506	1,069	1,234	895
54	595	699	466	1,015	1,174	848
53	542	631	429	962	1,116	802
52	494	571	396	914	1,062	763
51	451	518	366	856	999	711
50	412	471	339	817	955	680
49	377	428	313	761	892	633
48	343	388	288.2	716	840	596
47	312	350	264.6	671	789	558
46	282.8	315	242	632	744	525
45	255.5	283.2	220.8	599	705	498
44	230.7	254	201.4	563	661	469
43	208.8	228.2	184.2	533	625	445
42	189.6	205.7	169.1	507	593	423
41	173.2	186.5	156.2	476	557	397
40	159.2	170.2	145	455	533	380
39	147.1	156.5	135.1	428	500	357
38	136.8	144.9	126.3	405	473	338
37	127.7	135.2	118.3	382	446	318
36	119.9	126.9	110.9	361	420	301
35	113.1	119.9	104.2	341	398	284.4
34	107	113.8	98.1	321	375	266.3
33	101.7	108.5	92.7	303	353	251.3
32	97	103.9	88	286.8	335	237.8
31	93	100	83.9	269.7	316	222.6
30	89.5	96.8	80.2	258.9	303	213.8
29	86.6	94.4	76.9	245	287.2	202.1
28	84.2	92.9	73.9	233.1	274.4	191
27	82.4	92.3	70.9	222.2	262.5	181.1
26	81	92.6	68.1	211.5	251.5	171
25	80.1	93.6	65.3	201.9	242.2	161.1
24	79.3	94.7	62.5	192.7	232.5	152.5
23	78.5	95.7	59.9	183.7	223.1	143.7
22	77.4	95.9	57.3	174.2	212.6	135.4
21	75.5	94.7	54.6	164	200.4	127
20	72.4	91.5	51.6	154.3	187.4	120.7
19	67.8	85.7	48.2	142.8	172.9	112.2
18	61.8	77.7	44.2	130.5	157.1	103.4
17	54.7	68	39.9	114.1	134.6	93.3
16	47.4	58.1	35.5	98.8	113.8	83.6
15	40.6	49	31.3	85	95.7	74
14	34.9	41.5	27.7	73.3	81.7	64.7
13	30.7	36	24.8	65.1	71.8	58.2
12	27.9	32.5	22.8	60	66.3	53.6
11	26.4	30.8	21.6	57.8	63.8	51.6
10	26.2	30.6	21.3	57.7	63	52.2
9	27.2	31.9	22	59.9	65.2	54.4
8	29.2	34.5	23.7	64.7	70.4	58.8
7	32.7	38.4	26.7	72.2	78.1	66.1
6	37.6	43.7	31.2	81.7	87.3	76
5	44.3	50.3	37.9	96.7	101.8	91.4
4	53	58.5	47.2	125.6	131.7	119.3
3	64.3	68.3	60	171.2	177.9	164.3
2	78.6	80.1	77.1	246.7	252.7	240.5
1	96.8	94	99.8	394	394	394
0	1,655	1,861	1,440	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 Bhutan, the most common age of death is 81, compared to 0 in Tanzania. The median age of death is 77.6 in Bhutan 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 Bhutan and Tanzania more than their death rates.

Life expectancy in other countries

+ -

1x