Life Expectancy in Bhutan vs DR Congo (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 the DR Congo: 76 years vs 71 at 30, 80.2 vs 78.6 at 65, 86.4 vs 85.9 at 80 — significantly higher than the 73.8 vs 62.4 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 the DR Congo.

Table

Current age, years	Total life expectancy, years
	Bhutan			DR Congo
	Average	Male	Female	Average	Male	Female
0	73.8	72.1	75.8	62.4	60.2	64.6
1	75	73.4	76.9	65.5	63.6	67.4
2	75.1	73.5	77	66	64.1	67.9
3	75.2	73.6	77.1	66.4	64.5	68.3
4	75.2	73.6	77.1	66.7	64.9	68.6
5	75.3	73.7	77.2	67	65.2	68.9
6	75.3	73.7	77.2	67.3	65.5	69.1
7	75.3	73.7	77.2	67.5	65.7	69.4
8	75.3	73.7	77.2	67.7	65.9	69.5
9	75.4	73.8	77.2	67.9	66.1	69.7
10	75.4	73.8	77.3	68	66.3	69.8
11	75.4	73.8	77.3	68.2	66.4	69.9
12	75.4	73.8	77.3	68.3	66.5	70
13	75.4	73.9	77.3	68.4	66.6	70.1
14	75.4	73.9	77.3	68.5	66.7	70.2
15	75.5	73.9	77.3	68.6	66.8	70.3
16	75.5	73.9	77.4	68.7	67	70.4
17	75.5	74	77.4	68.8	67.1	70.6
18	75.6	74	77.4	69	67.2	70.7
19	75.6	74	77.4	69.1	67.4	70.8
20	75.6	74.1	77.5	69.3	67.6	70.9
21	75.7	74.1	77.5	69.4	67.8	71.1
22	75.7	74.2	77.5	69.6	68	71.2
23	75.8	74.2	77.6	69.8	68.2	71.3
24	75.8	74.3	77.6	69.9	68.4	71.5
25	75.8	74.3	77.6	70.1	68.6	71.6
26	75.9	74.4	77.7	70.3	68.8	71.8
27	75.9	74.4	77.7	70.5	69	71.9
28	76	74.5	77.7	70.6	69.2	72
29	76	74.5	77.8	70.8	69.4	72.2
30	76	74.6	77.8	71	69.6	72.3
31	76.1	74.6	77.8	71.1	69.8	72.5
32	76.1	74.7	77.9	71.3	70	72.6
33	76.2	74.7	77.9	71.5	70.2	72.8
34	76.2	74.8	78	71.7	70.3	72.9
35	76.3	74.8	78	71.8	70.5	73.1
36	76.3	74.9	78.1	72	70.7	73.2
37	76.4	74.9	78.1	72.2	70.9	73.4
38	76.4	75	78.2	72.3	71.1	73.5
39	76.5	75	78.2	72.5	71.3	73.7
40	76.5	75.1	78.3	72.7	71.5	73.9
41	76.6	75.1	78.3	72.9	71.7	74
42	76.7	75.2	78.4	73.1	71.9	74.2
43	76.7	75.3	78.4	73.2	72.1	74.4
44	76.8	75.3	78.5	73.4	72.3	74.5
45	76.9	75.4	78.6	73.6	72.5	74.7
46	77	75.5	78.7	73.8	72.7	74.9
47	77	75.6	78.7	74	72.9	75.1
48	77.1	75.7	78.8	74.2	73.1	75.2
49	77.3	75.8	78.9	74.4	73.3	75.4
50	77.4	76	79	74.6	73.6	75.6
51	77.5	76.1	79.1	74.8	73.8	75.8
52	77.6	76.2	79.2	75	74.1	76
53	77.7	76.4	79.3	75.3	74.3	76.2
54	77.9	76.5	79.5	75.5	74.6	76.4
55	78	76.7	79.6	75.8	74.9	76.6
56	78.2	76.9	79.7	76	75.1	76.8
57	78.4	77.1	79.9	76.3	75.4	77.1
58	78.6	77.3	80	76.5	75.7	77.3
59	78.8	77.5	80.2	76.8	76	77.5
60	79	77.8	80.3	77.1	76.3	77.8
61	79.2	78	80.5	77.3	76.6	78
62	79.4	78.3	80.7	77.6	76.9	78.3
63	79.7	78.6	80.9	78	77.3	78.6
64	79.9	78.9	81.1	78.3	77.6	78.9
65	80.2	79.2	81.3	78.6	78	79.2
66	80.5	79.5	81.5	79	78.4	79.5
67	80.8	79.8	81.8	79.4	78.8	79.9
68	81.1	80.2	82.1	79.8	79.2	80.3
69	81.4	80.6	82.4	80.2	79.7	80.6
70	81.8	81	82.7	80.6	80.1	81
71	82.2	81.4	83	81.1	80.6	81.5
72	82.5	81.8	83.3	81.5	81.1	81.9
73	83	82.3	83.7	82	81.6	82.4
74	83.4	82.7	84.1	82.5	82.1	82.9
75	83.8	83.2	84.5	83	82.6	83.4
76	84.3	83.7	84.9	83.6	83.2	83.9
77	84.8	84.2	85.3	84.1	83.7	84.4
78	85.3	84.8	85.8	84.7	84.3	85
79	85.8	85.4	86.3	85.3	84.9	85.5
80	86.4	85.9	86.8	85.9	85.6	86.1
81	87	86.6	87.4	86.5	86.2	86.8
82	87.6	87.2	88	87.2	86.9	87.4
83	88.2	87.8	88.6	87.9	87.6	88.1
84	88.9	88.5	89.2	88.6	88.3	88.8
85	89.6	89.2	89.9	89.3	89	89.5
86	90.3	89.9	90.5	90	89.7	90.2
87	91	90.7	91.2	90.8	90.4	91
88	91.7	91.4	92	91.5	91.2	91.7
89	92.5	92.2	92.7	92.3	92	92.5
90	93.2	93	93.4	93.1	92.8	93.3
91	94	93.8	94.2	93.9	93.6	94
92	94.8	94.6	95	94.7	94.4	94.8
93	95.7	95.5	95.8	95.5	95.3	95.7
94	96.5	96.3	96.6	96.4	96.2	96.5
95	97.4	97.2	97.5	97.3	97	97.3
96	98.2	98.1	98.3	98.1	97.9	98.2
97	99.1	99	99.2	99	98.8	99.1
98	100	99.9	100.1	99.9	99.8	100
99	100.9	100.8	101	100.8	100.7	100.9
100	101.8	101.7	101.9	101.8	101.7	101.8

Odds of living to age in Bhutan vs DR Congo

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 86.6% in Bhutan and 68% in the DR Congo are expected to survive till at least 60 years old, 71.5% and 52% will live to 70 years or older, 41.4% and 26.3% to 80+ years, and 8.69% and 4.61% 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			DR Congo
	Average	Male	Female	Average	Male	Female
1	98.3%	98.1%	98.6%	95.3%	94.7%	95.8%
2	98.2%	98%	98.5%	94.6%	94%	95.1%
3	98.2%	98%	98.4%	93.9%	93.3%	94.5%
4	98.1%	97.9%	98.3%	93.4%	92.8%	94.1%
5	98.1%	97.8%	98.3%	92.9%	92.3%	93.6%
6	98%	97.8%	98.2%	92.5%	91.8%	93.3%
7	98%	97.7%	98.2%	92.2%	91.5%	92.9%
8	97.9%	97.7%	98.2%	91.9%	91.1%	92.7%
9	97.9%	97.7%	98.2%	91.6%	90.9%	92.4%
10	97.9%	97.6%	98.1%	91.4%	90.6%	92.2%
11	97.9%	97.6%	98.1%	91.2%	90.4%	92.1%
12	97.8%	97.6%	98.1%	91.1%	90.2%	91.9%
13	97.8%	97.5%	98.1%	90.9%	90%	91.7%
14	97.8%	97.5%	98%	90.7%	89.9%	91.6%
15	97.7%	97.5%	98%	90.5%	89.7%	91.4%
16	97.7%	97.4%	98%	90.3%	89.5%	91.2%
17	97.6%	97.4%	97.9%	90.1%	89.2%	91.1%
18	97.6%	97.3%	97.9%	89.9%	88.9%	90.9%
19	97.5%	97.2%	97.9%	89.6%	88.6%	90.6%
20	97.5%	97.1%	97.8%	89.3%	88.3%	90.4%
21	97.4%	97%	97.8%	89%	87.9%	90.2%
22	97.3%	96.9%	97.7%	88.7%	87.5%	89.9%
23	97.2%	96.8%	97.7%	88.4%	87.1%	89.7%
24	97.2%	96.8%	97.6%	88.1%	86.7%	89.4%
25	97.1%	96.7%	97.5%	87.7%	86.3%	89.1%
26	97%	96.6%	97.5%	87.4%	85.9%	88.9%
27	96.9%	96.5%	97.4%	87.1%	85.5%	88.6%
28	96.8%	96.4%	97.3%	86.7%	85.1%	88.3%
29	96.8%	96.3%	97.3%	86.4%	84.8%	88%
30	96.7%	96.2%	97.2%	86%	84.4%	87.7%
31	96.6%	96.1%	97.1%	85.6%	83.9%	87.4%
32	96.5%	96%	97%	85.3%	83.5%	87.1%
33	96.4%	95.9%	96.9%	84.9%	83.1%	86.7%
34	96.3%	95.8%	96.8%	84.5%	82.7%	86.4%
35	96.2%	95.7%	96.7%	84.1%	82.3%	86.1%
36	96.1%	95.5%	96.6%	83.8%	81.8%	85.7%
37	95.9%	95.4%	96.5%	83.4%	81.4%	85.4%
38	95.8%	95.3%	96.4%	83%	80.9%	85%
39	95.7%	95.1%	96.3%	82.5%	80.5%	84.6%
40	95.5%	95%	96.1%	82.1%	80%	84.2%
41	95.4%	94.8%	96%	81.6%	79.5%	83.8%
42	95.2%	94.6%	95.8%	81.2%	79%	83.4%
43	95%	94.4%	95.7%	80.7%	78.4%	82.9%
44	94.8%	94.2%	95.5%	80.1%	77.9%	82.5%
45	94.6%	93.9%	95.3%	79.6%	77.3%	82%
46	94.3%	93.7%	95.1%	79.1%	76.7%	81.5%
47	94%	93.3%	94.8%	78.5%	76.1%	81%
48	93.7%	93%	94.6%	78%	75.4%	80.5%
49	93.4%	92.6%	94.3%	77.4%	74.8%	80%
50	93%	92.2%	94%	76.7%	74.1%	79.5%
51	92.6%	91.7%	93.6%	76%	73.3%	78.9%
52	92.1%	91.2%	93.2%	75.3%	72.5%	78.2%
53	91.6%	90.6%	92.9%	74.5%	71.6%	77.5%
54	91.1%	90%	92.4%	73.7%	70.7%	76.8%
55	90.5%	89.3%	92%	72.9%	69.8%	76.1%
56	89.9%	88.5%	91.5%	72%	68.8%	75.3%
57	89.1%	87.7%	90.9%	71.1%	67.8%	74.5%
58	88.3%	86.7%	90.3%	70.1%	66.7%	73.6%
59	87.5%	85.7%	89.6%	69.1%	65.6%	72.7%
60	86.6%	84.6%	88.9%	68%	64.4%	71.7%
61	85.5%	83.3%	88.2%	66.9%	63.2%	70.6%
62	84.4%	82%	87.3%	65.6%	61.8%	69.5%
63	83.2%	80.6%	86.4%	64.3%	60.3%	68.3%
64	81.9%	79.1%	85.4%	62.8%	58.8%	66.9%
65	80.5%	77.4%	84.3%	61.3%	57.2%	65.4%
66	79%	75.6%	83%	59.6%	55.4%	63.9%
67	77.4%	73.7%	81.7%	57.9%	53.6%	62.2%
68	75.5%	71.6%	80.2%	56%	51.7%	60.4%
69	73.6%	69.4%	78.5%	54.1%	49.7%	58.5%
70	71.5%	67%	76.7%	52%	47.6%	56.5%
71	69.2%	64.5%	74.7%	49.8%	45.4%	54.3%
72	66.7%	61.8%	72.5%	47.5%	43.1%	52%
73	64.1%	58.9%	70.2%	45.1%	40.8%	49.6%
74	61.3%	55.9%	67.6%	42.6%	38.3%	47%
75	58.4%	52.8%	64.9%	40%	35.7%	44.4%
76	55.3%	49.6%	62%	37.3%	33.2%	41.6%
77	52%	46.2%	58.8%	34.6%	30.5%	38.8%
78	48.6%	42.7%	55.5%	31.9%	27.9%	35.9%
79	45%	39.2%	52%	29.1%	25.3%	33%
80	41.4%	35.7%	48.3%	26.3%	22.6%	30%
81	37.7%	32.1%	44.4%	23.5%	20.1%	27%
82	33.9%	28.5%	40.4%	20.8%	17.6%	24%
83	30.2%	25.1%	36.4%	18.2%	15.2%	21.2%
84	26.5%	21.7%	32.3%	15.7%	13%	18.4%
85	23%	18.5%	28.4%	13.3%	10.9%	15.8%
86	19.6%	15.5%	24.6%	11.2%	9.03%	13.3%
87	16.4%	12.7%	21%	9.2%	7.33%	11.1%
88	13.6%	10.3%	17.6%	7.45%	5.83%	9.1%
89	11%	8.1%	14.5%	5.92%	4.52%	7.34%
90	8.69%	6.25%	11.8%	4.61%	3.42%	5.82%
91	6.74%	4.71%	9.31%	3.52%	2.51%	4.53%
92	5.11%	3.46%	7.21%	2.62%	1.79%	3.45%
93	3.78%	2.48%	5.45%	1.9%	1.24%	2.56%
94	2.72%	1.73%	4.02%	1.34%	0.83%	1.85%
95	1.91%	1.17%	2.89%	0.92%	0.54%	1.3%
96	1.31%	0.77%	2.02%	0.61%	0.34%	0.88%
97	0.87%	0.49%	1.37%	0.4%	0.21%	0.58%
98	0.56%	0.3%	0.91%	0.25%	0.13%	0.37%
99	0.35%	0.18%	0.58%	0.15%	0.07%	0.23%
100	0.21%	0.1%	0.36%	0.09%	0.04%	0.14%

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 4.74% in the DR Congo, 0.09% vs 0.42% at age 30, 1.17% vs 1.71% at 60, and 8.98% vs 10.5% at 80.

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

Table

Age	Probability of dying
	Bhutan			DR Congo
	Average	Male	Female	Average	Male	Female
0	1.66%	1.86%	1.44%	4.74%	5.25%	4.22%
1	0.1%	0.1%	0.1%	0.74%	0.79%	0.69%
2	0.08%	0.08%	0.08%	0.65%	0.69%	0.6%
3	0.07%	0.07%	0.06%	0.57%	0.61%	0.52%
4	0.05%	0.06%	0.05%	0.5%	0.54%	0.46%
5	0.05%	0.05%	0.04%	0.43%	0.47%	0.4%
6	0.04%	0.04%	0.03%	0.37%	0.41%	0.34%
7	0.03%	0.04%	0.03%	0.32%	0.35%	0.29%
8	0.03%	0.04%	0.02%	0.28%	0.3%	0.25%
9	0.03%	0.03%	0.02%	0.24%	0.26%	0.22%
10	0.03%	0.03%	0.02%	0.21%	0.23%	0.19%
11	0.03%	0.03%	0.02%	0.19%	0.21%	0.18%
12	0.03%	0.03%	0.02%	0.19%	0.2%	0.17%
13	0.03%	0.04%	0.03%	0.19%	0.21%	0.17%
14	0.04%	0.04%	0.03%	0.2%	0.22%	0.18%
15	0.04%	0.05%	0.03%	0.22%	0.24%	0.19%
16	0.05%	0.06%	0.04%	0.24%	0.27%	0.21%
17	0.06%	0.07%	0.04%	0.26%	0.31%	0.22%
18	0.06%	0.08%	0.05%	0.29%	0.34%	0.24%
19	0.07%	0.09%	0.05%	0.32%	0.38%	0.25%
20	0.07%	0.09%	0.05%	0.34%	0.41%	0.26%
21	0.08%	0.1%	0.06%	0.35%	0.44%	0.27%
22	0.08%	0.1%	0.06%	0.37%	0.45%	0.28%
23	0.08%	0.1%	0.06%	0.37%	0.46%	0.29%
24	0.08%	0.1%	0.06%	0.38%	0.46%	0.3%
25	0.08%	0.1%	0.07%	0.38%	0.46%	0.31%
26	0.08%	0.1%	0.07%	0.39%	0.46%	0.32%
27	0.08%	0.1%	0.07%	0.4%	0.46%	0.33%
28	0.09%	0.1%	0.08%	0.4%	0.47%	0.34%
29	0.09%	0.1%	0.08%	0.41%	0.47%	0.35%
30	0.09%	0.1%	0.08%	0.42%	0.48%	0.36%
31	0.1%	0.1%	0.09%	0.43%	0.49%	0.36%
32	0.1%	0.11%	0.09%	0.44%	0.5%	0.37%
33	0.11%	0.11%	0.1%	0.44%	0.51%	0.38%
34	0.11%	0.12%	0.1%	0.45%	0.52%	0.39%
35	0.12%	0.13%	0.11%	0.46%	0.53%	0.4%
36	0.12%	0.13%	0.11%	0.47%	0.54%	0.41%
37	0.13%	0.14%	0.12%	0.49%	0.56%	0.43%
38	0.14%	0.15%	0.13%	0.51%	0.58%	0.45%
39	0.15%	0.16%	0.14%	0.54%	0.6%	0.47%
40	0.17%	0.18%	0.15%	0.56%	0.63%	0.5%
41	0.18%	0.2%	0.16%	0.59%	0.66%	0.52%
42	0.2%	0.22%	0.18%	0.61%	0.69%	0.54%
43	0.22%	0.24%	0.19%	0.63%	0.71%	0.56%
44	0.24%	0.27%	0.21%	0.65%	0.74%	0.57%
45	0.27%	0.3%	0.23%	0.67%	0.76%	0.58%
46	0.3%	0.34%	0.25%	0.69%	0.8%	0.6%
47	0.33%	0.38%	0.28%	0.73%	0.84%	0.62%
48	0.37%	0.42%	0.3%	0.77%	0.89%	0.65%
49	0.4%	0.46%	0.33%	0.83%	0.96%	0.7%
50	0.44%	0.51%	0.36%	0.89%	1.04%	0.75%
51	0.49%	0.56%	0.39%	0.96%	1.12%	0.81%
52	0.54%	0.63%	0.42%	1.03%	1.2%	0.87%
53	0.59%	0.7%	0.46%	1.09%	1.27%	0.92%
54	0.65%	0.78%	0.5%	1.15%	1.33%	0.98%
55	0.72%	0.87%	0.55%	1.21%	1.4%	1.03%
56	0.8%	0.97%	0.6%	1.27%	1.47%	1.09%
57	0.88%	1.08%	0.66%	1.35%	1.56%	1.16%
58	0.97%	1.19%	0.72%	1.45%	1.67%	1.24%
59	1.07%	1.31%	0.79%	1.57%	1.8%	1.35%
60	1.17%	1.44%	0.87%	1.71%	1.96%	1.48%
61	1.29%	1.58%	0.96%	1.88%	2.15%	1.63%
62	1.41%	1.73%	1.06%	2.06%	2.35%	1.8%
63	1.55%	1.9%	1.17%	2.25%	2.56%	1.98%
64	1.71%	2.09%	1.31%	2.46%	2.78%	2.17%
65	1.9%	2.31%	1.46%	2.68%	3.02%	2.38%
66	2.11%	2.55%	1.64%	2.92%	3.27%	2.61%
67	2.34%	2.82%	1.84%	3.18%	3.54%	2.87%
68	2.6%	3.11%	2.07%	3.48%	3.86%	3.16%
69	2.88%	3.44%	2.32%	3.82%	4.21%	3.48%
70	3.19%	3.79%	2.6%	4.2%	4.61%	3.85%
71	3.54%	4.18%	2.91%	4.62%	5.05%	4.25%
72	3.92%	4.61%	3.25%	5.07%	5.54%	4.68%
73	4.35%	5.07%	3.63%	5.57%	6.06%	5.15%
74	4.82%	5.59%	4.05%	6.1%	6.63%	5.65%
75	5.33%	6.15%	4.52%	6.67%	7.24%	6.2%
76	5.91%	6.78%	5.06%	7.3%	7.91%	6.79%
77	6.56%	7.47%	5.67%	7.99%	8.65%	7.46%
78	7.28%	8.24%	6.37%	8.76%	9.47%	8.2%
79	8.09%	9.09%	7.15%	9.61%	10.4%	9.03%
80	8.98%	10%	8.02%	10.5%	11.3%	9.95%
81	9.96%	11.1%	8.96%	11.6%	12.4%	10.9%
82	11%	12.2%	9.98%	12.6%	13.5%	12%
83	12.2%	13.4%	11.1%	13.8%	14.7%	13.1%
84	13.4%	14.8%	12.2%	15%	15.9%	14.3%
85	14.7%	16.2%	13.4%	16.2%	17.3%	15.5%
86	16.1%	17.8%	14.7%	17.6%	18.8%	16.7%
87	17.6%	19.4%	16%	19%	20.5%	18%
88	19.1%	21.1%	17.5%	20.5%	22.4%	19.3%
89	20.7%	22.8%	19.1%	22.1%	24.4%	20.7%
90	22.5%	24.6%	20.8%	23.8%	26.5%	22.2%
91	24.2%	26.5%	22.6%	25.6%	28.7%	23.9%
92	26.1%	28.4%	24.4%	27.4%	30.8%	25.7%
93	27.9%	30.3%	26.3%	29.4%	32.9%	27.7%
94	29.8%	32.3%	28.1%	31.3%	34.8%	29.8%
95	31.7%	34.3%	30%	33.4%	36.7%	32%
96	33.7%	36.3%	32%	35.4%	38.6%	34.1%
97	35.6%	38.3%	34%	37.3%	40.6%	36.2%
98	37.6%	40.3%	36%	39.2%	42.6%	38.2%
99	39.6%	42.2%	38%	41%	44.6%	40%
100	41.5%	44.3%	40%	43%	46.5%	42.1%

Death rate by age in Bhutan compared to the DR Congo

In Bhutan, the most common age of death is 81, compared to 0 in the DR Congo. The median age of death is 77.6 in Bhutan and 70.9 in the DR Congo — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bhutan			DR Congo
	Total	Male	Female	Total	Male	Female
0	1,655	1,861	1,440	4,741	5,250	4,223
1	96.8	94	99.8	706	750	662
2	78.6	80.1	77.1	612	653	570
3	64.3	68.3	60	534	573	494
4	53	58.5	47.2	466	502	429
5	44.3	50.3	37.9	404	436	370
6	37.6	43.7	31.2	347	376	317
7	32.7	38.4	26.7	296.1	321	270.8
8	29.2	34.5	23.7	252.8	273.8	231.4
9	27.2	31.9	22	218	235.8	199.9
10	26.2	30.6	21.3	192.5	207.9	176.9
11	26.4	30.8	21.6	176.5	190.4	162.3
12	27.9	32.5	22.8	169.3	182.8	155.5
13	30.7	36	24.8	170.6	184.9	156
14	34.9	41.5	27.7	179.5	196.1	162.6
15	40.6	49	31.3	195	215.6	174.2
16	47.4	58.1	35.5	215.6	241.9	188.8
17	54.7	68	39.9	238.7	272.7	204.2
18	61.8	77.7	44.2	262.3	306	218.4
19	67.8	85.7	48.2	283.9	337	229.9
20	72.4	91.5	51.6	302	364	238.6
21	75.5	94.7	54.6	315	384	245.4
22	77.4	95.9	57.3	325	397	251.5
23	78.5	95.7	59.9	331	402	258
24	79.3	94.7	62.5	335	403	265.4
25	80.1	93.6	65.3	338	400	273.8
26	81	92.6	68.1	341	398	282.8
27	82.4	92.3	70.9	345	397	291.6
28	84.2	92.9	73.9	350	398	299.9
29	86.6	94.4	76.9	355	401	307
30	89.5	96.8	80.2	361	407	313
31	93	100	83.9	366	412	319
32	97	103.9	88	371	418	323
33	101.7	108.5	92.7	376	423	328
34	107	113.8	98.1	381	428	333
35	113.1	119.9	104.2	388	434	340
36	119.9	126.9	110.9	396	441	350
37	127.7	135.2	118.3	408	452	363
38	136.8	144.9	126.3	424	466	380
39	147.1	156.5	135.1	442	484	398
40	159.2	170.2	145	461	503	418
41	173.2	186.5	156.2	480	523	436
42	189.6	205.7	169.1	496	541	450
43	208.8	228.2	184.2	510	558	461
44	230.7	254	201.4	522	573	469
45	255.5	283.2	220.8	534	590	476
46	282.8	315	242	550	611	487
47	312	350	264.6	572	638	503
48	343	388	288.2	602	674	527
49	377	428	313	639	718	559
50	412	471	339	683	768	597
51	451	518	366	729	818	639
52	494	571	396	774	866	680
53	542	631	429	813	907	717
54	595	699	466	848	943	751
55	655	775	506	881	976	784
56	719	857	551	916	1,011	819
57	787	943	600	959	1,055	862
58	859	1,033	652	1,014	1,111	915
59	935	1,124	709	1,082	1,181	982
60	1,015	1,218	772	1,164	1,265	1,061
61	1,101	1,317	842	1,254	1,356	1,151
62	1,193	1,421	922	1,350	1,452	1,248
63	1,293	1,534	1,012	1,448	1,546	1,349
64	1,404	1,656	1,115	1,545	1,637	1,452
65	1,528	1,788	1,231	1,642	1,725	1,559
66	1,664	1,929	1,361	1,741	1,811	1,668
67	1,809	2,077	1,503	1,843	1,901	1,784
68	1,961	2,230	1,657	1,952	1,995	1,907
69	2,119	2,386	1,820	2,067	2,094	2,038
70	2,281	2,541	1,992	2,185	2,196	2,173
71	2,449	2,696	2,171	2,302	2,296	2,307
72	2,618	2,846	2,356	2,412	2,389	2,435
73	2,787	2,990	2,545	2,511	2,470	2,552
74	2,953	3,125	2,738	2,597	2,537	2,657
75	3,113	3,248	2,935	2,669	2,589	2,749
76	3,267	3,358	3,135	2,724	2,624	2,827
77	3,409	3,451	3,336	2,766	2,642	2,893
78	3,536	3,521	3,533	2,791	2,641	2,945
79	3,643	3,564	3,714	2,794	2,617	2,977
80	3,718	3,576	3,867	2,771	2,565	2,983
81	3,754	3,550	3,979	2,716	2,484	2,954
82	3,741	3,482	4,033	2,625	2,371	2,886
83	3,674	3,367	4,022	2,499	2,231	2,776
84	3,551	3,206	3,943	2,342	2,067	2,625
85	3,375	2,998	3,803	2,160	1,888	2,438
86	3,150	2,749	3,608	1,959	1,699	2,225
87	2,886	2,466	3,368	1,746	1,503	1,994
88	2,591	2,162	3,089	1,528	1,304	1,756
89	2,275	1,849	2,779	1,310	1,104	1,520
90	1,952	1,541	2,447	1,099	907	1,294
91	1,633	1,249	2,102	900	721	1,082
92	1,331	984	1,759	718	552	886
93	1,054	753	1,431	557	407	709
94	811	558	1,131	420	289.7	552
95	606	401	868	307	199.2	415
96	439	278.9	647	216.9	132.6	302
97	309	187.5	467	148	85.4	210.7
98	209.6	121.7	326	97.5	53.2	141.6
99	137.5	76.2	220.6	62	32	91.8
100	0	0	21.2	0	0	0

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 the DR Congo 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 DR Congo: Quantitative Profiles

By topic vs comparisons:

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