Life Expectancy in Bhutan vs South Africa (1950-2026)

Life expectancy by current age

Chart Table

Bhutan

Male

Female

South Africa

Male

Female

1x

Current age, years	Total life expectancy, years
	Bhutan			South Africa
	Average	Male	Female	Average	Male	Female
100	101.8	101.7	101.9	103.4	103.1	103.5
99	100.9	100.8	101	102.5	102.3	102.6
98	100	99.9	100.1	101.7	101.5	101.7
97	99.1	99	99.2	100.8	100.7	100.9
96	98.2	98.1	98.3	100	99.9	100
95	97.4	97.2	97.5	99.2	99.1	99.2
94	96.5	96.3	96.6	98.4	98.3	98.4
93	95.7	95.5	95.8	97.6	97.5	97.7
92	94.8	94.6	95	96.9	96.7	96.9
91	94	93.8	94.2	96.1	96	96.2
90	93.2	93	93.4	95.4	95.2	95.5
89	92.5	92.2	92.7	94.7	94.4	94.8
88	91.7	91.4	92	94	93.7	94.1
87	91	90.7	91.2	93.3	92.9	93.4
86	90.3	89.9	90.5	92.6	92.2	92.7
85	89.6	89.2	89.9	91.9	91.5	92.1
84	88.9	88.5	89.2	91.3	90.8	91.5
83	88.2	87.8	88.6	90.6	90.1	90.9
82	87.6	87.2	88	90	89.4	90.3
81	87	86.6	87.4	89.4	88.7	89.7
80	86.4	85.9	86.8	88.8	88	89.1
79	85.8	85.4	86.3	88.1	87.4	88.5
78	85.3	84.8	85.8	87.5	86.7	88
77	84.8	84.2	85.3	86.9	86	87.4
76	84.3	83.7	84.9	86.3	85.3	86.9
75	83.8	83.2	84.5	85.7	84.7	86.4
74	83.4	82.7	84.1	85.2	84	85.9
73	83	82.3	83.7	84.6	83.4	85.4
72	82.5	81.8	83.3	84.1	82.8	84.9
71	82.2	81.4	83	83.6	82.2	84.5
70	81.8	81	82.7	83.1	81.7	84.1
69	81.4	80.6	82.4	82.6	81.1	83.6
68	81.1	80.2	82.1	82.1	80.5	83.2
67	80.8	79.8	81.8	81.6	80	82.8
66	80.5	79.5	81.5	81.2	79.4	82.4
65	80.2	79.2	81.3	80.7	78.9	82.1
64	79.9	78.9	81.1	80.3	78.4	81.7
63	79.7	78.6	80.9	79.9	77.9	81.4
62	79.4	78.3	80.7	79.4	77.4	81
61	79.2	78	80.5	79	76.9	80.7
60	79	77.8	80.3	78.7	76.5	80.4
59	78.8	77.5	80.2	78.3	76	80.1
58	78.6	77.3	80	77.9	75.6	79.8
57	78.4	77.1	79.9	77.5	75.2	79.5
56	78.2	76.9	79.7	77.2	74.8	79.2
55	78	76.7	79.6	76.9	74.4	78.9
54	77.9	76.5	79.5	76.5	74	78.7
53	77.7	76.4	79.3	76.2	73.6	78.4
52	77.6	76.2	79.2	75.9	73.3	78.2
51	77.5	76.1	79.1	75.6	72.9	77.9
50	77.4	76	79	75.3	72.6	77.7
49	77.3	75.8	78.9	75	72.2	77.4
48	77.1	75.7	78.8	74.7	71.9	77.2
47	77	75.6	78.7	74.4	71.6	77
46	77	75.5	78.7	74.2	71.3	76.7
45	76.9	75.4	78.6	73.9	71	76.5
44	76.8	75.3	78.5	73.6	70.7	76.3
43	76.7	75.3	78.4	73.4	70.4	76.1
42	76.7	75.2	78.4	73.1	70.2	75.8
41	76.6	75.1	78.3	72.9	69.9	75.6
40	76.5	75.1	78.3	72.6	69.7	75.4
39	76.5	75	78.2	72.4	69.4	75.2
38	76.4	75	78.2	72.2	69.2	75
37	76.4	74.9	78.1	72	68.9	74.8
36	76.3	74.9	78.1	71.8	68.7	74.6
35	76.3	74.8	78	71.6	68.5	74.5
34	76.2	74.8	78	71.4	68.3	74.3
33	76.2	74.7	77.9	71.2	68.1	74.1
32	76.1	74.7	77.9	71	67.9	73.9
31	76.1	74.6	77.8	70.8	67.7	73.8
30	76	74.6	77.8	70.6	67.5	73.6
29	76	74.5	77.8	70.4	67.3	73.5
28	76	74.5	77.7	70.3	67.1	73.3
27	75.9	74.4	77.7	70.1	66.9	73.2
26	75.9	74.4	77.7	70	66.8	73.1
25	75.8	74.3	77.6	69.9	66.6	73
24	75.8	74.3	77.6	69.7	66.5	72.9
23	75.8	74.2	77.6	69.6	66.3	72.8
22	75.7	74.2	77.5	69.5	66.2	72.7
21	75.7	74.1	77.5	69.4	66.1	72.6
20	75.6	74.1	77.5	69.3	66	72.6
19	75.6	74	77.4	69.2	65.9	72.5
18	75.6	74	77.4	69.2	65.8	72.4
17	75.5	74	77.4	69.1	65.7	72.4
16	75.5	73.9	77.4	69	65.7	72.3
15	75.5	73.9	77.3	69	65.6	72.3
14	75.4	73.9	77.3	68.9	65.6	72.3
13	75.4	73.9	77.3	68.9	65.5	72.2
12	75.4	73.8	77.3	68.9	65.5	72.2
11	75.4	73.8	77.3	68.9	65.5	72.2
10	75.4	73.8	77.3	68.8	65.4	72.2
9	75.4	73.8	77.2	68.8	65.4	72.1
8	75.3	73.7	77.2	68.8	65.4	72.1
7	75.3	73.7	77.2	68.8	65.4	72.1
6	75.3	73.7	77.2	68.7	65.3	72.1
5	75.3	73.7	77.2	68.7	65.3	72
4	75.2	73.6	77.1	68.6	65.2	72
3	75.2	73.6	77.1	68.5	65.1	71.9
2	75.1	73.5	77	68.4	64.9	71.8
1	75	73.4	76.9	68.1	64.7	71.5
0	73.8	72.1	75.8	66.7	63.1	70.2

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 70.6 in South Africa, rising to 80.2 and 80.7 at 65, and to 86.4 and 88.8 at 80 — higher than the 73.8 and 66.7 years calculated at birth.

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

Probability of surviving to a given age

Chart Table

Bhutan

Male

Female

South Africa

Male

Female

1x

Age	Survival probability
	Bhutan			South Africa
	Average	Male	Female	Average	Male	Female
100	0.21%	0.1%	0.36%	1.63%	1%	2.22%
99	0.35%	0.18%	0.58%	2.11%	1.28%	2.88%
98	0.56%	0.3%	0.91%	2.68%	1.62%	3.67%
97	0.87%	0.49%	1.37%	3.36%	2.02%	4.59%
96	1.31%	0.77%	2.02%	4.15%	2.5%	5.67%
95	1.91%	1.17%	2.89%	5.06%	3.06%	6.91%
94	2.72%	1.73%	4.02%	6.09%	3.7%	8.3%
93	3.78%	2.48%	5.45%	7.24%	4.43%	9.84%
92	5.11%	3.46%	7.21%	8.49%	5.25%	11.5%
91	6.74%	4.71%	9.31%	9.86%	6.16%	13.3%
90	8.69%	6.25%	11.8%	11.3%	7.18%	15.2%
89	11%	8.1%	14.5%	12.9%	8.29%	17.3%
88	13.6%	10.3%	17.6%	14.6%	9.51%	19.4%
87	16.4%	12.7%	21%	16.4%	10.8%	21.7%
86	19.6%	15.5%	24.6%	18.2%	12.2%	24%
85	23%	18.5%	28.4%	20.1%	13.7%	26.3%
84	26.5%	21.7%	32.3%	22.1%	15.2%	28.6%
83	30.2%	25.1%	36.4%	24%	16.8%	31%
82	33.9%	28.5%	40.4%	26%	18.5%	33.4%
81	37.7%	32.1%	44.4%	28.1%	20.2%	35.8%
80	41.4%	35.7%	48.3%	30.2%	22%	38.2%
79	45%	39.2%	52%	32.3%	23.9%	40.6%
78	48.6%	42.7%	55.5%	34.6%	25.9%	43%
77	52%	46.2%	58.8%	36.8%	28%	45.4%
76	55.3%	49.6%	62%	39%	30.1%	47.7%
75	58.4%	52.8%	64.9%	41.2%	32.3%	50%
74	61.3%	55.9%	67.6%	43.4%	34.4%	52.1%
73	64.1%	58.9%	70.2%	45.5%	36.6%	54.2%
72	66.7%	61.8%	72.5%	47.5%	38.7%	56.2%
71	69.2%	64.5%	74.7%	49.6%	40.8%	58.2%
70	71.5%	67%	76.7%	51.6%	42.9%	60%
69	73.6%	69.4%	78.5%	53.5%	45.1%	61.9%
68	75.5%	71.6%	80.2%	55.5%	47.2%	63.6%
67	77.4%	73.7%	81.7%	57.3%	49.3%	65.3%
66	79%	75.6%	83%	59.2%	51.4%	66.8%
65	80.5%	77.4%	84.3%	60.9%	53.4%	68.3%
64	81.9%	79.1%	85.4%	62.6%	55.4%	69.8%
63	83.2%	80.6%	86.4%	64.2%	57.3%	71.1%
62	84.4%	82%	87.3%	65.7%	59.1%	72.4%
61	85.5%	83.3%	88.2%	67.2%	60.9%	73.6%
60	86.6%	84.6%	88.9%	68.7%	62.6%	74.7%
59	87.5%	85.7%	89.6%	70%	64.3%	75.9%
58	88.3%	86.7%	90.3%	71.4%	65.9%	76.9%
57	89.1%	87.7%	90.9%	72.7%	67.5%	78%
56	89.9%	88.5%	91.5%	73.9%	69%	78.9%
55	90.5%	89.3%	92%	75.1%	70.5%	79.9%
54	91.1%	90%	92.4%	76.2%	71.9%	80.7%
53	91.6%	90.6%	92.9%	77.3%	73.2%	81.6%
52	92.1%	91.2%	93.2%	78.4%	74.5%	82.4%
51	92.6%	91.7%	93.6%	79.4%	75.7%	83.1%
50	93%	92.2%	94%	80.3%	76.9%	83.9%
49	93.4%	92.6%	94.3%	81.2%	78%	84.6%
48	93.7%	93%	94.6%	82.1%	79.1%	85.3%
47	94%	93.3%	94.8%	83%	80.1%	85.9%
46	94.3%	93.7%	95.1%	83.8%	81.1%	86.6%
45	94.6%	93.9%	95.3%	84.6%	82%	87.2%
44	94.8%	94.2%	95.5%	85.3%	82.9%	87.8%
43	95%	94.4%	95.7%	86%	83.7%	88.4%
42	95.2%	94.6%	95.8%	86.7%	84.5%	89%
41	95.4%	94.8%	96%	87.4%	85.3%	89.6%
40	95.5%	95%	96.1%	88.1%	86%	90.1%
39	95.7%	95.1%	96.3%	88.7%	86.7%	90.6%
38	95.8%	95.3%	96.4%	89.2%	87.4%	91.1%
37	95.9%	95.4%	96.5%	89.8%	88.1%	91.6%
36	96.1%	95.5%	96.6%	90.4%	88.7%	92%
35	96.2%	95.7%	96.7%	90.9%	89.3%	92.5%
34	96.3%	95.8%	96.8%	91.4%	89.9%	92.9%
33	96.4%	95.9%	96.9%	91.8%	90.4%	93.3%
32	96.5%	96%	97%	92.3%	91%	93.6%
31	96.6%	96.1%	97.1%	92.7%	91.5%	94%
30	96.7%	96.2%	97.2%	93.1%	91.9%	94.3%
29	96.8%	96.3%	97.3%	93.5%	92.4%	94.6%
28	96.8%	96.4%	97.3%	93.9%	92.8%	94.9%
27	96.9%	96.5%	97.4%	94.2%	93.2%	95.2%
26	97%	96.6%	97.5%	94.5%	93.6%	95.4%
25	97.1%	96.7%	97.5%	94.8%	94%	95.7%
24	97.2%	96.8%	97.6%	95.1%	94.3%	95.9%
23	97.2%	96.8%	97.7%	95.3%	94.6%	96%
22	97.3%	96.9%	97.7%	95.5%	94.9%	96.2%
21	97.4%	97%	97.8%	95.7%	95.1%	96.3%
20	97.5%	97.1%	97.8%	95.9%	95.4%	96.5%
19	97.5%	97.2%	97.9%	96.1%	95.6%	96.6%
18	97.6%	97.3%	97.9%	96.2%	95.7%	96.7%
17	97.6%	97.4%	97.9%	96.3%	95.9%	96.8%
16	97.7%	97.4%	98%	96.4%	96%	96.9%
15	97.7%	97.5%	98%	96.5%	96.1%	97%
14	97.8%	97.5%	98%	96.6%	96.2%	97%
13	97.8%	97.5%	98.1%	96.6%	96.2%	97.1%
12	97.8%	97.6%	98.1%	96.7%	96.3%	97.1%
11	97.9%	97.6%	98.1%	96.7%	96.3%	97.1%
10	97.9%	97.6%	98.1%	96.8%	96.4%	97.2%
9	97.9%	97.7%	98.2%	96.8%	96.4%	97.2%
8	97.9%	97.7%	98.2%	96.8%	96.5%	97.2%
7	98%	97.7%	98.2%	96.9%	96.5%	97.3%
6	98%	97.8%	98.2%	96.9%	96.6%	97.3%
5	98.1%	97.8%	98.3%	97%	96.7%	97.4%
4	98.1%	97.9%	98.3%	97.1%	96.8%	97.4%
3	98.2%	98%	98.4%	97.2%	96.9%	97.6%
2	98.2%	98%	98.5%	97.5%	97.2%	97.8%
1	98.3%	98.1%	98.6%	97.8%	97.6%	98.1%

This chart shows the odds of living to each age from birth. 86.6% of newborns in Bhutan and 68.7% in South Africa are expected to live past 60, 71.5% and 51.6% past 70, 41.4% and 30.2% past 80, and only 8.69% and 11.3% 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

South Africa

Male

Female

1x

Age	Probability of dying
	Bhutan			South Africa
	Average	Male	Female	Average	Male	Female
100	41.5%	44.3%	40%	23.6%	22.9%	23.9%
99	39.6%	42.2%	38%	22.5%	22%	22.8%
98	37.6%	40.3%	36%	21.3%	21%	21.5%
97	35.6%	38.3%	34%	20.2%	20%	20.2%
96	33.7%	36.3%	32%	19%	19.1%	19%
95	31.7%	34.3%	30%	18%	18.2%	17.9%
94	29.8%	32.3%	28.1%	16.9%	17.3%	16.8%
93	27.9%	30.3%	26.3%	15.9%	16.5%	15.6%
92	26.1%	28.4%	24.4%	14.8%	15.6%	14.5%
91	24.2%	26.5%	22.6%	13.8%	14.8%	13.5%
90	22.5%	24.6%	20.8%	13%	14.1%	12.6%
89	20.7%	22.8%	19.1%	12.3%	13.5%	11.8%
88	19.1%	21.1%	17.5%	11.5%	12.8%	11.1%
87	17.6%	19.4%	16%	10.8%	12.1%	10.3%
86	16.1%	17.8%	14.7%	10.1%	11.4%	9.6%
85	14.7%	16.2%	13.4%	9.43%	10.7%	8.88%
84	13.4%	14.8%	12.2%	8.78%	10%	8.21%
83	12.2%	13.4%	11.1%	8.21%	9.46%	7.62%
82	11%	12.2%	9.98%	7.71%	8.97%	7.1%
81	9.96%	11.1%	8.96%	7.3%	8.57%	6.66%
80	8.98%	10%	8.02%	6.96%	8.26%	6.28%
79	8.09%	9.09%	7.15%	6.67%	8%	5.94%
78	7.28%	8.24%	6.37%	6.37%	7.73%	5.61%
77	6.56%	7.47%	5.67%	6.06%	7.42%	5.26%
76	5.91%	6.78%	5.06%	5.71%	7.05%	4.89%
75	5.33%	6.15%	4.52%	5.35%	6.64%	4.53%
74	4.82%	5.59%	4.05%	4.98%	6.22%	4.17%
73	4.35%	5.07%	3.63%	4.64%	5.83%	3.85%
72	3.92%	4.61%	3.25%	4.34%	5.49%	3.57%
71	3.54%	4.18%	2.91%	4.09%	5.2%	3.33%
70	3.19%	3.79%	2.6%	3.87%	4.95%	3.12%
69	2.88%	3.44%	2.32%	3.67%	4.72%	2.92%
68	2.6%	3.11%	2.07%	3.48%	4.5%	2.74%
67	2.34%	2.82%	1.84%	3.28%	4.28%	2.55%
66	2.11%	2.55%	1.64%	3.08%	4.04%	2.37%
65	1.9%	2.31%	1.46%	2.88%	3.79%	2.19%
64	1.71%	2.09%	1.31%	2.68%	3.55%	2.03%
63	1.55%	1.9%	1.17%	2.5%	3.32%	1.88%
62	1.41%	1.73%	1.06%	2.34%	3.11%	1.75%
61	1.29%	1.58%	0.96%	2.2%	2.93%	1.65%
60	1.17%	1.44%	0.87%	2.08%	2.76%	1.55%
59	1.07%	1.31%	0.79%	1.98%	2.61%	1.47%
58	0.97%	1.19%	0.72%	1.88%	2.47%	1.39%
57	0.88%	1.08%	0.66%	1.78%	2.33%	1.32%
56	0.8%	0.97%	0.6%	1.68%	2.2%	1.24%
55	0.72%	0.87%	0.55%	1.58%	2.07%	1.16%
54	0.65%	0.78%	0.5%	1.49%	1.94%	1.09%
53	0.59%	0.7%	0.46%	1.4%	1.83%	1.02%
52	0.54%	0.63%	0.42%	1.32%	1.72%	0.96%
51	0.49%	0.56%	0.39%	1.25%	1.62%	0.91%
50	0.44%	0.51%	0.36%	1.19%	1.52%	0.87%
49	0.4%	0.46%	0.33%	1.13%	1.44%	0.84%
48	0.37%	0.42%	0.3%	1.08%	1.35%	0.8%
47	0.33%	0.38%	0.28%	1.03%	1.28%	0.78%
46	0.3%	0.34%	0.25%	0.98%	1.2%	0.75%
45	0.27%	0.3%	0.23%	0.93%	1.13%	0.73%
44	0.24%	0.27%	0.21%	0.88%	1.07%	0.7%
43	0.22%	0.24%	0.19%	0.84%	1.01%	0.68%
42	0.2%	0.22%	0.18%	0.8%	0.95%	0.65%
41	0.18%	0.2%	0.16%	0.76%	0.9%	0.63%
40	0.17%	0.18%	0.15%	0.73%	0.86%	0.6%
39	0.15%	0.16%	0.14%	0.69%	0.82%	0.57%
38	0.14%	0.15%	0.13%	0.66%	0.78%	0.54%
37	0.13%	0.14%	0.12%	0.63%	0.74%	0.51%
36	0.12%	0.13%	0.11%	0.6%	0.71%	0.49%
35	0.12%	0.13%	0.11%	0.57%	0.67%	0.46%
34	0.11%	0.12%	0.1%	0.54%	0.64%	0.44%
33	0.11%	0.11%	0.1%	0.51%	0.61%	0.42%
32	0.1%	0.11%	0.09%	0.49%	0.58%	0.4%
31	0.1%	0.1%	0.09%	0.46%	0.55%	0.38%
30	0.09%	0.1%	0.08%	0.44%	0.52%	0.36%
29	0.09%	0.1%	0.08%	0.41%	0.5%	0.33%
28	0.09%	0.1%	0.08%	0.39%	0.47%	0.31%
27	0.08%	0.1%	0.07%	0.36%	0.44%	0.28%
26	0.08%	0.1%	0.07%	0.33%	0.41%	0.25%
25	0.08%	0.1%	0.07%	0.3%	0.38%	0.23%
24	0.08%	0.1%	0.06%	0.28%	0.35%	0.2%
23	0.08%	0.1%	0.06%	0.25%	0.32%	0.18%
22	0.08%	0.1%	0.06%	0.23%	0.29%	0.17%
21	0.08%	0.1%	0.06%	0.21%	0.26%	0.15%
20	0.07%	0.09%	0.05%	0.19%	0.23%	0.14%
19	0.07%	0.09%	0.05%	0.16%	0.2%	0.13%
18	0.06%	0.08%	0.05%	0.14%	0.18%	0.11%
17	0.06%	0.07%	0.04%	0.12%	0.15%	0.1%
16	0.05%	0.06%	0.04%	0.11%	0.12%	0.09%
15	0.04%	0.05%	0.03%	0.09%	0.1%	0.07%
14	0.04%	0.04%	0.03%	0.07%	0.09%	0.06%
13	0.03%	0.04%	0.03%	0.06%	0.07%	0.05%
12	0.03%	0.03%	0.02%	0.05%	0.06%	0.04%
11	0.03%	0.03%	0.02%	0.04%	0.05%	0.04%
10	0.03%	0.03%	0.02%	0.04%	0.05%	0.03%
9	0.03%	0.03%	0.02%	0.04%	0.05%	0.03%
8	0.03%	0.04%	0.02%	0.04%	0.05%	0.03%
7	0.03%	0.04%	0.03%	0.04%	0.05%	0.04%
6	0.04%	0.04%	0.03%	0.05%	0.06%	0.04%
5	0.05%	0.05%	0.04%	0.07%	0.08%	0.06%
4	0.05%	0.06%	0.05%	0.1%	0.11%	0.08%
3	0.07%	0.07%	0.06%	0.15%	0.17%	0.12%
2	0.08%	0.08%	0.08%	0.22%	0.25%	0.2%
1	0.1%	0.1%	0.1%	0.35%	0.38%	0.32%
0	1.66%	1.86%	1.44%	2.19%	2.44%	1.93%

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

The annual chance of dying is 1.66% in the birth year in Bhutan and 2.19% in South Africa, 0.09% vs 0.44% at age 30, 1.17% vs 2.08% at 60, and 8.98% vs 6.96% at 80.

Death rate by age in Bhutan vs South Africa

Chart Table

Bhutan

Male

Female

South Africa

Male

Female

1x

Age	Death rate
	Bhutan			South Africa
	Total	Male	Female	Total	Male	Female
100	0	0	21.2	359	204.6	501
99	137.5	76.2	220.6	475	280.8	655
98	209.6	121.7	326	572	340	787
97	309	187.5	467	677	406	928
96	439	278.9	647	789	478	1,077
95	606	401	868	909	558	1,236
94	811	558	1,131	1,031	642	1,393
93	1,054	753	1,431	1,148	729	1,540
92	1,331	984	1,759	1,257	818	1,670
91	1,633	1,249	2,102	1,363	912	1,794
90	1,952	1,541	2,447	1,476	1,014	1,924
89	2,275	1,849	2,779	1,585	1,118	2,045
88	2,591	2,162	3,089	1,686	1,220	2,150
87	2,886	2,466	3,368	1,775	1,315	2,238
86	3,150	2,749	3,608	1,845	1,397	2,299
85	3,375	2,998	3,803	1,897	1,467	2,335
84	3,551	3,206	3,943	1,937	1,530	2,353
83	3,674	3,367	4,022	1,972	1,591	2,363
82	3,741	3,482	4,033	2,008	1,656	2,371
81	3,754	3,550	3,979	2,052	1,732	2,383
80	3,718	3,576	3,867	2,102	1,819	2,399
79	3,643	3,564	3,714	2,156	1,914	2,411
78	3,536	3,521	3,533	2,202	2,006	2,410
77	3,409	3,451	3,336	2,228	2,080	2,386
76	3,267	3,358	3,135	2,228	2,126	2,335
75	3,113	3,248	2,935	2,204	2,144	2,262
74	2,953	3,125	2,738	2,161	2,141	2,176
73	2,787	2,990	2,545	2,112	2,132	2,089
72	2,618	2,846	2,356	2,066	2,123	2,008
71	2,449	2,696	2,171	2,028	2,121	1,936
70	2,281	2,541	1,992	1,997	2,124	1,871
69	2,119	2,386	1,820	1,966	2,128	1,807
68	1,961	2,230	1,657	1,929	2,124	1,740
67	1,809	2,077	1,503	1,882	2,108	1,667
66	1,664	1,929	1,361	1,822	2,074	1,585
65	1,528	1,788	1,231	1,752	2,025	1,500
64	1,404	1,656	1,115	1,679	1,965	1,415
63	1,293	1,534	1,012	1,606	1,901	1,337
62	1,193	1,421	922	1,540	1,839	1,269
61	1,101	1,317	842	1,482	1,782	1,211
60	1,015	1,218	772	1,431	1,730	1,162
59	935	1,124	709	1,384	1,679	1,116
58	859	1,033	652	1,339	1,629	1,072
57	787	943	600	1,292	1,575	1,026
56	719	857	551	1,242	1,519	978
55	655	775	506	1,190	1,459	929
54	595	699	466	1,137	1,397	881
53	542	631	429	1,085	1,337	835
52	494	571	396	1,037	1,279	795
51	451	518	366	994	1,223	760
50	412	471	339	954	1,171	731
49	377	428	313	918	1,120	707
48	343	388	288.2	883	1,071	686
47	312	350	264.6	850	1,022	668
46	282.8	315	242	818	974	652
45	255.5	283.2	220.8	786	928	635
44	230.7	254	201.4	755	884	619
43	208.8	228.2	184.2	724	842	601
42	189.6	205.7	169.1	695	804	581
41	173.2	186.5	156.2	667	770	560
40	159.2	170.2	145	639	738	538
39	147.1	156.5	135.1	613	708	515
38	136.8	144.9	126.3	587	680	492
37	127.7	135.2	118.3	562	653	470
36	119.9	126.9	110.9	538	626	449
35	113.1	119.9	104.2	515	600	429
34	107	113.8	98.1	493	575	410
33	101.7	108.5	92.7	471	551	392
32	97	103.9	88	450	527	374
31	93	100	83.9	429	504	355
30	89.5	96.8	80.2	408	481	335
29	86.6	94.4	76.9	386	458	314
28	84.2	92.9	73.9	363	434	291.3
27	82.4	92.3	70.9	339	410	266.7
26	81	92.6	68.1	314	384	241.5
25	80.1	93.6	65.3	289.1	358	217.1
24	79.3	94.7	62.5	264.7	331	195.1
23	78.5	95.7	59.9	241.4	304	176
22	77.4	95.9	57.3	219.2	276.6	159.6
21	75.5	94.7	54.6	198.1	249	145.6
20	72.4	91.5	51.6	177.8	221.4	133.1
19	67.8	85.7	48.2	158	194.2	121.2
18	61.8	77.7	44.2	138.5	167.7	108.8
17	54.7	68	39.9	119.5	142.6	96
16	47.4	58.1	35.5	101.4	119.6	82.9
15	40.6	49	31.3	85	99.4	70.2
14	34.9	41.5	27.7	70.7	82.4	58.8
13	30.7	36	24.8	58.9	68.7	49
12	27.9	32.5	22.8	49.7	58.1	41.1
11	26.4	30.8	21.6	43	50.5	35.3
10	26.2	30.6	21.3	38.7	45.8	31.6
9	27.2	31.9	22	37	43.9	30
8	29.2	34.5	23.7	37.9	45.2	30.6
7	32.7	38.4	26.7	42.2	50.2	34.1
6	37.6	43.7	31.2	51.2	60.6	41.7
5	44.3	50.3	37.9	67.2	79	55.4
4	53	58.5	47.2	95.3	110.3	80
3	64.3	68.3	60	141.9	161.3	121.7
2	78.6	80.1	77.1	218.6	243.8	192.5
1	96.8	94	99.8	343	375	310
0	1,655	1,861	1,440	2,192	2,441	1,934

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 77 in South Africa. The median age of death is 77.6 in Bhutan and 70.8 in South Africa, 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 South Africa more than their death rates.

Life expectancy in other countries

+ -

1x