Life Expectancy in Bhutan vs Congo (1950-2025)

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 Congo: 75.9 years vs 70.6 at 30, 80.1 vs 78.3 at 65, 86.3 vs 85.9 at 80 — significantly higher than the 73.5 vs 66.2 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 Congo.

Table

Current age, years	Total life expectancy, years
	Bhutan			Congo
	Average	Male	Female	Average	Male	Female
0	73.5	71.8	75.6	66.2	64.5	67.9
1	74.8	73.2	76.7	68.1	66.5	69.6
2	74.9	73.3	76.8	68.4	66.8	69.9
3	75	73.4	76.9	68.6	67	70.1
4	75	73.4	76.9	68.7	67.1	70.3
5	75.1	73.5	76.9	68.8	67.2	70.4
6	75.1	73.5	77	68.8	67.3	70.4
7	75.1	73.5	77	68.9	67.4	70.5
8	75.1	73.6	77	69	67.4	70.5
9	75.2	73.6	77	69	67.5	70.6
10	75.2	73.6	77.1	69	67.5	70.6
11	75.2	73.6	77.1	69.1	67.5	70.6
12	75.2	73.7	77.1	69.1	67.6	70.7
13	75.2	73.7	77.1	69.2	67.6	70.7
14	75.3	73.7	77.1	69.2	67.7	70.8
15	75.3	73.7	77.1	69.2	67.7	70.8
16	75.3	73.8	77.2	69.3	67.8	70.8
17	75.3	73.8	77.2	69.3	67.8	70.9
18	75.4	73.8	77.2	69.4	67.9	71
19	75.4	73.9	77.2	69.5	68	71
20	75.4	73.9	77.3	69.6	68.1	71.1
21	75.5	74	77.3	69.6	68.2	71.2
22	75.5	74	77.3	69.7	68.3	71.2
23	75.6	74.1	77.4	69.8	68.4	71.3
24	75.6	74.1	77.4	69.9	68.5	71.4
25	75.7	74.2	77.4	70	68.6	71.5
26	75.7	74.2	77.5	70.1	68.7	71.6
27	75.7	74.3	77.5	70.2	68.8	71.7
28	75.8	74.3	77.5	70.3	68.9	71.8
29	75.8	74.4	77.6	70.4	69	71.9
30	75.9	74.4	77.6	70.6	69.2	72
31	75.9	74.5	77.6	70.7	69.3	72.1
32	75.9	74.5	77.7	70.8	69.4	72.2
33	76	74.5	77.7	70.9	69.5	72.3
34	76	74.6	77.8	71	69.7	72.4
35	76.1	74.6	77.8	71.2	69.8	72.5
36	76.1	74.7	77.9	71.3	70	72.7
37	76.2	74.7	77.9	71.5	70.1	72.8
38	76.2	74.8	78	71.6	70.3	73
39	76.3	74.9	78	71.8	70.4	73.1
40	76.4	74.9	78.1	71.9	70.6	73.2
41	76.4	75	78.1	72.1	70.8	73.4
42	76.5	75	78.2	72.3	71	73.6
43	76.5	75.1	78.3	72.4	71.1	73.7
44	76.6	75.2	78.3	72.6	71.3	73.9
45	76.7	75.3	78.4	72.8	71.5	74.1
46	76.8	75.4	78.5	73	71.7	74.2
47	76.9	75.5	78.6	73.2	72	74.4
48	77	75.6	78.6	73.4	72.2	74.6
49	77.1	75.7	78.7	73.6	72.4	74.8
50	77.2	75.8	78.8	73.8	72.7	75
51	77.3	75.9	78.9	74.1	72.9	75.2
52	77.4	76.1	79.1	74.3	73.2	75.4
53	77.6	76.2	79.2	74.6	73.5	75.7
54	77.7	76.4	79.3	74.8	73.7	75.9
55	77.9	76.6	79.4	75.1	74	76.1
56	78.1	76.8	79.6	75.4	74.3	76.4
57	78.2	77	79.7	75.6	74.6	76.6
58	78.4	77.2	79.9	75.9	74.9	76.9
59	78.6	77.4	80	76.2	75.3	77.1
60	78.8	77.7	80.2	76.5	75.6	77.4
61	79.1	77.9	80.4	76.8	76	77.7
62	79.3	78.2	80.5	77.2	76.3	78
63	79.5	78.5	80.7	77.5	76.7	78.3
64	79.8	78.8	80.9	77.9	77.1	78.6
65	80.1	79.1	81.2	78.3	77.5	78.9
66	80.4	79.4	81.4	78.6	77.9	79.3
67	80.7	79.7	81.7	79	78.4	79.6
68	81	80.1	81.9	79.4	78.8	80
69	81.3	80.5	82.2	79.9	79.3	80.4
70	81.7	80.9	82.5	80.3	79.8	80.8
71	82.1	81.3	82.9	80.8	80.3	81.2
72	82.4	81.7	83.2	81.3	80.8	81.7
73	82.9	82.2	83.6	81.8	81.3	82.2
74	83.3	82.7	84	82.3	81.9	82.6
75	83.8	83.1	84.4	82.8	82.5	83.2
76	84.2	83.7	84.8	83.4	83.1	83.7
77	84.7	84.2	85.3	84	83.7	84.2
78	85.2	84.7	85.7	84.6	84.3	84.8
79	85.8	85.3	86.2	85.2	85	85.4
80	86.3	85.9	86.8	85.9	85.7	86
81	86.9	86.5	87.3	86.5	86.4	86.6
82	87.5	87.1	87.9	87.2	87.1	87.3
83	88.2	87.8	88.5	87.9	87.8	88
84	88.8	88.5	89.2	88.6	88.5	88.6
85	89.5	89.2	89.8	89.3	89.3	89.4
86	90.2	89.9	90.5	90.1	90.1	90.1
87	90.9	90.6	91.2	90.8	90.8	90.8
88	91.7	91.4	91.9	91.6	91.6	91.6
89	92.4	92.2	92.7	92.4	92.5	92.4
90	93.2	93	93.4	93.2	93.3	93.2
91	94	93.8	94.2	94	94.1	94
92	94.8	94.6	95	94.9	94.9	94.8
93	95.6	95.4	95.8	95.7	95.8	95.7
94	96.5	96.3	96.6	96.6	96.7	96.5
95	97.3	97.2	97.5	97.4	97.5	97.4
96	98.2	98.1	98.3	98.3	98.4	98.2
97	99.1	98.9	99.2	99.2	99.3	99.1
98	100	99.8	100.1	100.1	100.2	100.1
99	100.9	100.8	101	101	101	101
100	101.8	101.7	101.9	101.9	101.9	101.9

Odds of living to age in Bhutan vs Congo

The chart below shows the odds of living to all ages starting from birth. Of the newborn cohort, 86.2% in Bhutan and 72.7% in the Congo are expected to survive till at least 60 years old, 70.9% and 54.1% will live to 70 years or older, 40.7% and 26.1% to 80+ years, and 8.34% and 4.56% 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			Congo
	Average	Male	Female	Average	Male	Female
1	98.3%	98%	98.5%	97.3%	97%	97.6%
2	98.2%	98%	98.4%	96.8%	96.5%	97.1%
3	98.1%	97.9%	98.3%	96.5%	96.2%	96.9%
4	98%	97.8%	98.2%	96.4%	96.1%	96.7%
5	98%	97.7%	98.2%	96.2%	95.9%	96.5%
6	97.9%	97.7%	98.1%	96.1%	95.8%	96.4%
7	97.9%	97.6%	98.1%	96%	95.7%	96.3%
8	97.8%	97.6%	98.1%	95.9%	95.6%	96.3%
9	97.8%	97.6%	98.1%	95.9%	95.5%	96.2%
10	97.8%	97.5%	98%	95.8%	95.5%	96.1%
11	97.7%	97.5%	98%	95.7%	95.4%	96.1%
12	97.7%	97.5%	98%	95.7%	95.3%	96%
13	97.7%	97.4%	98%	95.6%	95.3%	96%
14	97.7%	97.4%	97.9%	95.5%	95.2%	95.9%
15	97.6%	97.4%	97.9%	95.5%	95.1%	95.8%
16	97.6%	97.3%	97.9%	95.4%	95%	95.7%
17	97.5%	97.2%	97.8%	95.3%	94.9%	95.7%
18	97.5%	97.2%	97.8%	95.2%	94.8%	95.5%
19	97.4%	97.1%	97.8%	95%	94.6%	95.4%
20	97.3%	97%	97.7%	94.9%	94.4%	95.3%
21	97.3%	96.9%	97.6%	94.7%	94.2%	95.2%
22	97.2%	96.8%	97.6%	94.5%	94%	95%
23	97.1%	96.7%	97.5%	94.4%	93.8%	94.9%
24	97%	96.6%	97.5%	94.2%	93.6%	94.7%
25	97%	96.5%	97.4%	94%	93.4%	94.5%
26	96.9%	96.4%	97.3%	93.7%	93.1%	94.4%
27	96.8%	96.3%	97.3%	93.5%	92.9%	94.2%
28	96.7%	96.2%	97.2%	93.3%	92.6%	94%
29	96.6%	96.2%	97.1%	93%	92.4%	93.7%
30	96.5%	96.1%	97%	92.8%	92.1%	93.5%
31	96.4%	96%	97%	92.5%	91.8%	93.3%
32	96.3%	95.9%	96.9%	92.2%	91.5%	93%
33	96.2%	95.8%	96.8%	91.9%	91.2%	92.7%
34	96.1%	95.6%	96.7%	91.6%	90.8%	92.4%
35	96%	95.5%	96.6%	91.3%	90.5%	92.1%
36	95.9%	95.4%	96.5%	90.9%	90.1%	91.8%
37	95.8%	95.3%	96.4%	90.6%	89.7%	91.5%
38	95.7%	95.1%	96.3%	90.2%	89.2%	91.1%
39	95.5%	95%	96.1%	89.7%	88.8%	90.7%
40	95.4%	94.8%	96%	89.3%	88.3%	90.3%
41	95.2%	94.7%	95.8%	88.8%	87.8%	89.9%
42	95%	94.5%	95.7%	88.3%	87.3%	89.5%
43	94.9%	94.3%	95.5%	87.8%	86.7%	89%
44	94.6%	94%	95.3%	87.3%	86.1%	88.5%
45	94.4%	93.8%	95.1%	86.7%	85.4%	88%
46	94.1%	93.5%	94.9%	86.1%	84.8%	87.4%
47	93.9%	93.2%	94.6%	85.4%	84%	86.9%
48	93.5%	92.8%	94.4%	84.8%	83.3%	86.3%
49	93.2%	92.4%	94.1%	84%	82.5%	85.6%
50	92.8%	92%	93.8%	83.3%	81.6%	85%
51	92.4%	91.5%	93.4%	82.4%	80.7%	84.2%
52	91.9%	91%	93%	81.6%	79.7%	83.5%
53	91.4%	90.4%	92.6%	80.6%	78.7%	82.7%
54	90.9%	89.8%	92.2%	79.7%	77.6%	81.8%
55	90.3%	89%	91.7%	78.7%	76.4%	80.9%
56	89.6%	88.3%	91.2%	77.6%	75.2%	80%
57	88.9%	87.4%	90.6%	76.5%	73.9%	79%
58	88.1%	86.4%	90%	75.3%	72.6%	78%
59	87.2%	85.4%	89.4%	74%	71.2%	76.9%
60	86.2%	84.2%	88.6%	72.7%	69.7%	75.7%
61	85.2%	83%	87.8%	71.2%	68.1%	74.5%
62	84.1%	81.7%	87%	69.7%	66.4%	73.1%
63	82.9%	80.2%	86%	68.1%	64.6%	71.7%
64	81.6%	78.7%	85%	66.5%	62.8%	70.2%
65	80.1%	77%	83.9%	64.7%	60.8%	68.6%
66	78.6%	75.2%	82.6%	62.8%	58.8%	66.9%
67	76.9%	73.2%	81.2%	60.8%	56.6%	65%
68	75.1%	71.1%	79.7%	58.7%	54.4%	63.1%
69	73.1%	68.9%	78%	56.5%	52%	61%
70	70.9%	66.4%	76.2%	54.1%	49.6%	58.8%
71	68.6%	63.9%	74.1%	51.7%	47%	56.5%
72	66.1%	61.2%	71.9%	49.1%	44.3%	54%
73	63.5%	58.3%	69.5%	46.4%	41.6%	51.4%
74	60.7%	55.3%	67%	43.7%	38.8%	48.6%
75	57.7%	52.1%	64.2%	40.8%	36%	45.8%
76	54.6%	48.9%	61.2%	37.9%	33.1%	42.8%
77	51.3%	45.5%	58.1%	35%	30.3%	39.7%
78	47.8%	42.1%	54.7%	32%	27.5%	36.6%
79	44.3%	38.5%	51.2%	29%	24.7%	33.5%
80	40.7%	35%	47.4%	26.1%	22%	30.4%
81	36.9%	31.4%	43.6%	23.2%	19.4%	27.2%
82	33.2%	27.9%	39.6%	20.5%	16.9%	24.2%
83	29.5%	24.5%	35.6%	17.8%	14.6%	21.2%
84	25.8%	21.1%	31.6%	15.4%	12.4%	18.3%
85	22.3%	18%	27.7%	13%	10.5%	15.7%
86	19%	15%	23.9%	10.9%	8.7%	13.2%
87	15.9%	12.3%	20.3%	8.98%	7.13%	10.9%
88	13.1%	9.91%	17%	7.29%	5.76%	8.86%
89	10.6%	7.8%	14%	5.81%	4.58%	7.08%
90	8.34%	6.01%	11.3%	4.56%	3.59%	5.56%
91	6.45%	4.51%	8.92%	3.5%	2.76%	4.26%
92	4.87%	3.31%	6.88%	2.64%	2.09%	3.21%
93	3.59%	2.36%	5.19%	1.95%	1.55%	2.36%
94	2.58%	1.64%	3.81%	1.4%	1.13%	1.69%
95	1.8%	1.11%	2.73%	0.99%	0.8%	1.18%
96	1.23%	0.73%	1.9%	0.68%	0.56%	0.8%
97	0.81%	0.46%	1.29%	0.45%	0.38%	0.53%
98	0.52%	0.28%	0.85%	0.3%	0.26%	0.34%
99	0.32%	0.17%	0.54%	0.19%	0.17%	0.21%
100	0.19%	0.1%	0.33%	0.12%	0.11%	0.13%

Odds of dying by age chart

Mortality rates vary throughout a lifetime. The annual chance of dying is 1.74% in the birth year in Bhutan and 2.73% in the Congo, 0.09% vs 0.29% at age 30, 1.2% vs 1.97% at 60, and 9.13% vs 11% at 80.

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

Table

Age	Probability of dying
	Bhutan			Congo
	Average	Male	Female	Average	Male	Female
0	1.74%	1.95%	1.53%	2.73%	3.05%	2.42%
1	0.1%	0.1%	0.11%	0.46%	0.45%	0.47%
2	0.08%	0.09%	0.08%	0.29%	0.28%	0.29%
3	0.07%	0.07%	0.06%	0.2%	0.2%	0.19%
4	0.06%	0.06%	0.05%	0.14%	0.15%	0.14%
5	0.05%	0.05%	0.04%	0.11%	0.11%	0.11%
6	0.04%	0.05%	0.03%	0.09%	0.1%	0.09%
7	0.03%	0.04%	0.03%	0.08%	0.09%	0.08%
8	0.03%	0.04%	0.03%	0.07%	0.08%	0.07%
9	0.03%	0.03%	0.02%	0.07%	0.07%	0.06%
10	0.03%	0.03%	0.02%	0.07%	0.07%	0.06%
11	0.03%	0.03%	0.02%	0.07%	0.07%	0.06%
12	0.03%	0.03%	0.02%	0.07%	0.07%	0.06%
13	0.03%	0.04%	0.03%	0.07%	0.08%	0.07%
14	0.04%	0.04%	0.03%	0.08%	0.09%	0.07%
15	0.04%	0.05%	0.03%	0.09%	0.1%	0.09%
16	0.05%	0.06%	0.04%	0.11%	0.12%	0.1%
17	0.06%	0.07%	0.04%	0.13%	0.14%	0.11%
18	0.06%	0.08%	0.05%	0.14%	0.17%	0.12%
19	0.07%	0.09%	0.05%	0.16%	0.18%	0.13%
20	0.08%	0.1%	0.05%	0.17%	0.2%	0.14%
21	0.08%	0.1%	0.06%	0.18%	0.21%	0.15%
22	0.08%	0.1%	0.06%	0.19%	0.23%	0.16%
23	0.08%	0.1%	0.06%	0.2%	0.24%	0.17%
24	0.08%	0.1%	0.07%	0.21%	0.25%	0.18%
25	0.08%	0.1%	0.07%	0.23%	0.26%	0.2%
26	0.09%	0.1%	0.07%	0.24%	0.27%	0.21%
27	0.09%	0.1%	0.07%	0.25%	0.28%	0.22%
28	0.09%	0.1%	0.08%	0.26%	0.29%	0.23%
29	0.09%	0.1%	0.08%	0.28%	0.3%	0.25%
30	0.09%	0.1%	0.08%	0.29%	0.32%	0.26%
31	0.1%	0.11%	0.09%	0.3%	0.33%	0.27%
32	0.1%	0.11%	0.09%	0.32%	0.35%	0.29%
33	0.11%	0.11%	0.1%	0.34%	0.37%	0.31%
34	0.11%	0.12%	0.1%	0.36%	0.4%	0.33%
35	0.12%	0.13%	0.11%	0.39%	0.42%	0.35%
36	0.13%	0.13%	0.12%	0.41%	0.45%	0.37%
37	0.14%	0.14%	0.13%	0.44%	0.48%	0.39%
38	0.15%	0.15%	0.13%	0.46%	0.51%	0.42%
39	0.16%	0.17%	0.14%	0.49%	0.54%	0.44%
40	0.17%	0.18%	0.15%	0.53%	0.58%	0.47%
41	0.18%	0.2%	0.17%	0.55%	0.61%	0.49%
42	0.2%	0.22%	0.18%	0.59%	0.66%	0.52%
43	0.22%	0.25%	0.2%	0.62%	0.7%	0.55%
44	0.25%	0.27%	0.22%	0.66%	0.74%	0.58%
45	0.28%	0.31%	0.24%	0.71%	0.8%	0.62%
46	0.31%	0.34%	0.26%	0.75%	0.85%	0.65%
47	0.34%	0.38%	0.29%	0.8%	0.91%	0.69%
48	0.37%	0.42%	0.31%	0.86%	0.98%	0.74%
49	0.41%	0.47%	0.34%	0.92%	1.05%	0.79%
50	0.45%	0.52%	0.37%	0.99%	1.14%	0.85%
51	0.5%	0.58%	0.4%	1.05%	1.21%	0.9%
52	0.55%	0.64%	0.43%	1.13%	1.3%	0.96%
53	0.6%	0.71%	0.47%	1.2%	1.39%	1.02%
54	0.67%	0.79%	0.52%	1.28%	1.48%	1.09%
55	0.74%	0.88%	0.56%	1.36%	1.58%	1.15%
56	0.82%	0.99%	0.62%	1.46%	1.69%	1.23%
57	0.9%	1.1%	0.68%	1.55%	1.81%	1.31%
58	0.99%	1.21%	0.74%	1.67%	1.95%	1.42%
59	1.09%	1.34%	0.81%	1.8%	2.1%	1.52%
60	1.2%	1.47%	0.89%	1.97%	2.3%	1.66%
61	1.31%	1.61%	0.98%	2.1%	2.45%	1.78%
62	1.44%	1.77%	1.08%	2.3%	2.67%	1.95%
63	1.58%	1.94%	1.2%	2.48%	2.88%	2.11%
64	1.75%	2.13%	1.34%	2.69%	3.11%	2.3%
65	1.94%	2.35%	1.5%	2.92%	3.36%	2.51%
66	2.15%	2.6%	1.68%	3.16%	3.64%	2.72%
67	2.39%	2.87%	1.88%	3.46%	3.98%	2.99%
68	2.65%	3.17%	2.12%	3.78%	4.34%	3.29%
69	2.94%	3.5%	2.37%	4.12%	4.73%	3.6%
70	3.26%	3.86%	2.66%	4.56%	5.21%	4.02%
71	3.61%	4.26%	2.97%	4.94%	5.62%	4.37%
72	4.01%	4.69%	3.32%	5.46%	6.19%	4.87%
73	4.44%	5.16%	3.71%	5.97%	6.72%	5.35%
74	4.91%	5.68%	4.14%	6.53%	7.31%	5.89%
75	5.44%	6.25%	4.62%	7.14%	7.95%	6.49%
76	6.02%	6.89%	5.17%	7.77%	8.6%	7.12%
77	6.67%	7.59%	5.79%	8.45%	9.29%	7.79%
78	7.41%	8.36%	6.49%	9.25%	10.1%	8.58%
79	8.22%	9.22%	7.29%	10%	10.9%	9.38%
80	9.13%	10.2%	8.17%	11%	11.9%	10.4%
81	10.1%	11.2%	9.13%	11.8%	12.7%	11.2%
82	11.2%	12.4%	10.2%	12.9%	13.7%	12.3%
83	12.4%	13.6%	11.2%	14%	14.7%	13.4%
84	13.6%	15%	12.4%	15.2%	15.8%	14.7%
85	14.9%	16.4%	13.6%	16.3%	16.9%	15.9%
86	16.3%	17.9%	14.9%	17.6%	18.1%	17.3%
87	17.8%	19.6%	16.3%	18.9%	19.2%	18.6%
88	19.3%	21.3%	17.8%	20.2%	20.5%	20.1%
89	21%	23%	19.4%	21.6%	21.7%	21.6%
90	22.7%	24.8%	21%	23.2%	23.1%	23.3%
91	24.5%	26.7%	22.8%	24.6%	24.3%	24.7%
92	26.3%	28.6%	24.6%	26.3%	25.8%	26.6%
93	28.2%	30.6%	26.5%	27.9%	27.3%	28.3%
94	30.1%	32.5%	28.4%	29.6%	28.8%	30.1%
95	32%	34.5%	30.3%	31.4%	30.3%	32%
96	33.9%	36.5%	32.2%	33%	31.7%	33.9%
97	35.9%	38.5%	34.2%	34.7%	33.1%	35.7%
98	37.8%	40.4%	36.2%	36.2%	34.3%	37.4%
99	39.7%	42.4%	38.2%	38.1%	36.1%	39.4%
100	41.7%	44.4%	40.1%	39.7%	37.3%	41.2%

Death rate by age in Bhutan compared to the Congo

In Bhutan, the most common age of death is 81, compared to 78 in the Congo. The median age of death is 77.4 in Bhutan and 71.7 in the Congo — only half of the newborns in both countries are expected to live past these ages.

Table

Age	Death rate
	Bhutan			Congo
	Total	Male	Female	Total	Male	Female
0	1,744	1,951	1,526	2,735	3,048	2,416
1	101.4	97.9	105	444	434	455
2	82.2	83.3	81	276.1	274.8	277.4
3	67	71	62.8	190.4	192.6	188.2
4	55.1	60.6	49.4	138.5	141.6	135.3
5	46	52.1	39.6	106.1	109.2	102.8
6	39	45.1	32.6	89.3	93.3	85.1
7	33.8	39.6	27.8	78.6	83	74
8	30.3	35.5	24.6	70.3	74.6	65.8
9	28.1	32.8	22.8	65	69	60.8
10	27	31.5	22.1	62.4	66.5	58.2
11	27.2	31.6	22.4	62.3	66.9	57.5
12	28.7	33.4	23.5	64.6	69.3	59.7
13	31.6	36.9	25.6	69.8	74.8	64.6
14	35.9	42.5	28.5	78.2	84.5	71.8
15	41.7	50.1	32.2	90.2	98.2	82
16	48.5	59.4	36.5	104.4	116.1	92.4
17	55.9	69.5	41	120.1	136.4	103.4
18	63.1	79.2	45.4	136.8	158.3	114.8
19	69.1	87.3	49.4	149.6	173.8	125
20	73.8	93.2	52.9	161.8	187.9	135.3
21	76.9	96.4	55.8	172	200.5	143
22	78.8	97.6	58.6	182.8	212	153.2
23	80	97.3	61.2	192.8	221.7	163.4
24	80.8	96.3	63.9	202.3	230.2	173.9
25	81.6	95	66.6	211.9	238.8	184.5
26	82.6	94	69.5	222	247.1	196.3
27	84	93.7	72.4	232.9	257	208.3
28	85.8	94.3	75.3	244.1	267.9	219.8
29	88.1	95.8	78.4	256.3	279.6	232.5
30	91.1	98.2	81.8	270.4	294.4	245.9
31	94.5	101.4	85.4	281.2	306	255.7
32	98.6	105.4	89.6	298.8	324	272.7
33	103.3	110.1	94.5	315	342	287.7
34	108.7	115.4	100	333	362	304
35	114.9	121.6	106.2	354	384	324
36	121.9	128.8	113.1	374	405	342
37	129.9	137.2	120.6	395	429	360
38	139.1	147.1	128.8	419	456	381
39	149.6	158.8	137.7	441	481	401
40	161.8	172.8	147.8	469	513	424
41	176.1	189.3	159.3	490	537	442
42	192.8	208.9	172.5	521	572	467
43	212.3	231.7	187.9	547	603	489
44	234.8	258	205.5	577	639	513
45	259.9	287.6	225.3	613	681	543
46	287.6	320	247	646	719	569
47	318	356	270.1	684	764	602
48	350	394	294.4	728	815	640
49	384	434	320	773	866	677
50	420	478	346	827	929	724
51	459	526	374	865	973	754
52	503	581	405	922	1,037	805
53	551	642	438	968	1,091	843
54	606	711	476	1,020	1,150	888
55	666	787	517	1,073	1,210	934
56	731	871	563	1,129	1,272	986
57	801	959	613	1,188	1,338	1,038
58	875	1,049	666	1,261	1,417	1,104
59	952	1,142	724	1,332	1,495	1,169
60	1,033	1,237	788	1,431	1,600	1,259
61	1,119	1,337	860	1,498	1,669	1,323
62	1,211	1,442	941	1,602	1,775	1,424
63	1,313	1,556	1,033	1,692	1,863	1,514
64	1,427	1,679	1,138	1,787	1,953	1,611
65	1,553	1,812	1,255	1,888	2,046	1,719
66	1,690	1,954	1,387	1,986	2,142	1,820
67	1,835	2,103	1,531	2,100	2,252	1,942
68	1,987	2,256	1,687	2,220	2,361	2,075
69	2,147	2,411	1,852	2,329	2,459	2,199
70	2,312	2,566	2,025	2,470	2,580	2,364
71	2,480	2,719	2,205	2,552	2,642	2,467
72	2,650	2,868	2,390	2,683	2,743	2,628
73	2,818	3,009	2,579	2,771	2,798	2,746
74	2,980	3,141	2,771	2,852	2,837	2,866
75	3,136	3,261	2,966	2,914	2,858	2,969
76	3,284	3,366	3,163	2,946	2,847	3,045
77	3,422	3,453	3,361	2,953	2,813	3,094
78	3,544	3,518	3,552	2,959	2,775	3,145
79	3,642	3,554	3,727	2,914	2,687	3,141
80	3,711	3,559	3,873	2,878	2,613	3,143
81	3,739	3,526	3,975	2,752	2,457	3,047
82	3,718	3,450	4,019	2,649	2,323	2,977
83	3,644	3,329	3,998	2,497	2,150	2,847
84	3,513	3,161	3,909	2,328	1,971	2,690
85	3,328	2,948	3,759	2,127	1,772	2,490
86	3,098	2,696	3,556	1,917	1,572	2,273
87	2,828	2,412	3,308	1,695	1,371	2,029
88	2,529	2,108	3,024	1,474	1,178	1,780
89	2,213	1,797	2,711	1,256	993	1,528
90	1,893	1,492	2,378	1,057	830	1,293
91	1,578	1,206	2,036	859	670	1,055
92	1,281	947	1,697	693	539	852
93	1,010	721	1,375	543	423	667
94	774	533	1,082	415	324	509
95	576	382	827	310	243.1	378
96	416	264.5	613	223.9	177.5	271.7
97	290.6	177.2	441	157.3	126.3	189.1
98	196.3	114.6	307	107.3	87.8	127.6
99	128.1	71.5	206.6	72	60.6	84.2
100	0	0	14.8	0	2.64	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 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 Congo: Data-driven Comparison

By topic vs comparisons:

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