Bhutanese Child Poverty Among Boys Under 16

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Child Poverty Among Boys Under 16
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Bhutanese Child Poverty Among Boys Under 16
Exceptional

12.6%
POVERTY | BOYS < 16
100.0/ 100
METRIC RATING
10th/ 347
METRIC RANK

Bhutanese Child Poverty Among Boys Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 446,468,872 people shows a slight negative correlation between the proportion of Bhutanese and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of -0.088 and weighted average of 12.6%. On average, for every 1% (one percent) increase in Bhutanese within a typical geography, there is a decrease of 0.051% in poverty level among boys under the age of 16.
Bhutanese Child Poverty Among Boys Under 16
It is essential to understand that the correlation between the percentage of Bhutanese and poverty level among boys under the age of 16 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Bhutanese influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Bhutanese simply ended up residing in those areas with higher or lower levels of poverty level among boys under the age of 16 due to other factors.

Demographics Similar to Bhutanese by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Bhutanese are Immigrants from Iran (12.5%, a difference of 0.36%), Immigrants from South Central Asia (12.7%, a difference of 0.52%), Immigrants from Singapore (12.5%, a difference of 0.86%), Iranian (12.4%, a difference of 1.2%), and Immigrants from Hong Kong (12.3%, a difference of 2.8%).
DemographicsRating | RankChild Poverty Among Boys Under 16
Filipinos
100.0
/100
|
#3
Exceptional
11.1%
Thais
100.0
/100
|
#4
Exceptional
11.7%
Chinese
100.0
/100
|
#5
Exceptional
11.9%
Immigrants from Hong Kong
100.0
/100
|
#6
Exceptional
12.3%
Iranians
100.0
/100
|
#7
Exceptional
12.4%
Immigrants from Singapore
100.0
/100
|
#8
Exceptional
12.5%
Immigrants from Iran
100.0
/100
|
#9
Exceptional
12.5%
Bhutanese
100.0
/100
|
#10
Exceptional
12.6%
Immigrants from South Central Asia
100.0
/100
|
#11
Exceptional
12.7%
Burmese
99.9
/100
|
#12
Exceptional
13.0%
Immigrants from Korea
99.9
/100
|
#13
Exceptional
13.0%
Immigrants from Ireland
99.9
/100
|
#14
Exceptional
13.1%
Immigrants from Japan
99.9
/100
|
#15
Exceptional
13.1%
Maltese
99.9
/100
|
#16
Exceptional
13.2%
Norwegians
99.9
/100
|
#17
Exceptional
13.2%

Bhutanese Child Poverty Among Boys Under 16 Correlation Summary

Measurement Bhutanese Data Child Poverty Among Boys Under 16 Data
Minimum 0.15% 0.70%
Maximum 44.8% 38.6%
Range 44.7% 37.9%
Mean 18.2% 11.3%
Median 16.5% 9.8%
Interquartile 25% (IQ1) 7.8% 6.3%
Interquartile 75% (IQ3) 27.7% 15.3%
Interquartile Range (IQR) 19.9% 9.0%
Standard Deviation (Sample) 12.2% 7.1%
Standard Deviation (Population) 12.2% 7.0%

Correlation Details

Bhutanese Percentile Sample Size Child Poverty Among Boys Under 16
[
0.0%
-
0.5%
]
0.15%
231,121,128 19.3%
[
0.0%
-
0.5%
]
0.45%
105,692,508 15.7%
[
0.5%
-
1.0%
]
0.79%
38,818,150 13.3%
[
1.0%
-
1.5%
]
1.11%
25,803,634 14.2%
[
1.0%
-
1.5%
]
1.42%
13,017,458 10.1%
[
1.5%
-
2.0%
]
1.75%
10,563,000 10.4%
[
2.0%
-
2.5%
]
2.05%
5,977,916 8.5%
[
2.0%
-
2.5%
]
2.36%
4,445,837 8.3%
[
2.5%
-
3.0%
]
2.73%
2,510,222 8.3%
[
3.0%
-
3.5%
]
3.03%
1,471,944 7.8%
[
3.0%
-
3.5%
]
3.35%
1,188,940 6.3%
[
3.5%
-
4.0%
]
3.63%
855,393 7.7%
[
4.0%
-
4.5%
]
4.02%
84,114 9.4%
[
4.0%
-
4.5%
]
4.31%
576,743 7.1%
[
4.5%
-
5.0%
]
4.68%
151,695 6.4%
[
4.5%
-
5.0%
]
4.93%
263,019 3.0%
[
5.0%
-
5.5%
]
5.25%
150,464 9.2%
[
5.5%
-
6.0%
]
5.59%
149,744 3.8%
[
5.5%
-
6.0%
]
5.85%
25,916 8.0%
[
6.0%
-
6.5%
]
6.26%
90,035 14.9%
[
6.5%
-
7.0%
]
6.54%
102,134 10.7%
[
6.5%
-
7.0%
]
6.87%
31,956 17.1%
[
7.0%
-
7.5%
]
7.28%
45,156 28.8%
[
7.0%
-
7.5%
]
7.43%
64,665 4.7%
[
7.5%
-
8.0%
]
7.78%
35,591 6.5%
[
8.0%
-
8.5%
]
8.19%
32,200 8.1%
[
8.5%
-
9.0%
]
8.51%
72,285 9.1%
[
8.5%
-
9.0%
]
8.77%
21,423 4.1%
[
9.0%
-
9.5%
]
9.21%
148,064 16.2%
[
9.0%
-
9.5%
]
9.40%
58,328 3.3%
[
9.5%
-
10.0%
]
9.69%
48,183 14.0%
[
10.0%
-
10.5%
]
10.17%
31,760 21.9%
[
10.0%
-
10.5%
]
10.41%
101,047 20.8%
[
10.5%
-
11.0%
]
10.80%
109,080 3.4%
[
10.5%
-
11.0%
]
10.97%
319 2.7%
[
11.0%
-
11.5%
]
11.40%
51,425 13.9%
[
11.5%
-
12.0%
]
11.64%
28,295 18.2%
[
12.0%
-
12.5%
]
12.08%
44,828 7.0%
[
12.0%
-
12.5%
]
12.35%
68,735 12.7%
[
12.5%
-
13.0%
]
12.62%
58,282 14.8%
[
12.5%
-
13.0%
]
12.90%
22,560 11.5%
[
13.0%
-
13.5%
]
13.18%
8,528 13.1%
[
13.5%
-
14.0%
]
13.72%
171,935 6.8%
[
14.0%
-
14.5%
]
14.13%
73,188 22.5%
[
14.5%
-
15.0%
]
14.62%
20,803 20.5%
[
14.5%
-
15.0%
]
14.98%
14,299 18.1%
[
15.5%
-
16.0%
]
15.55%
29,771 6.0%
[
15.5%
-
16.0%
]
15.78%
12,785 6.1%
[
16.0%
-
16.5%
]
16.12%
75,969 7.5%
[
16.0%
-
16.5%
]
16.47%
16,263 10.4%
[
16.5%
-
17.0%
]
16.75%
3,386 8.4%
[
17.0%
-
17.5%
]
17.05%
49,187 10.6%
[
17.0%
-
17.5%
]
17.49%
141,826 9.7%
[
17.5%
-
18.0%
]
17.86%
52,772 10.5%
[
17.5%
-
18.0%
]
17.96%
3,553 16.4%
[
18.5%
-
19.0%
]
18.52%
14,419 15.3%
[
18.5%
-
19.0%
]
18.82%
5,256 23.4%
[
19.0%
-
19.5%
]
19.02%
105,792 9.2%
[
19.0%
-
19.5%
]
19.37%
28,551 14.2%
[
19.5%
-
20.0%
]
19.62%
29,453 7.0%
[
20.0%
-
20.5%
]
20.07%
58,985 9.7%
[
20.0%
-
20.5%
]
20.31%
11,522 25.6%
[
20.5%
-
21.0%
]
20.64%
29,516 12.1%
[
20.5%
-
21.0%
]
21.00%
25,000 10.7%
[
21.5%
-
22.0%
]
21.53%
17,604 5.7%
[
21.5%
-
22.0%
]
21.84%
38,891 11.7%
[
22.0%
-
22.5%
]
22.30%
20,473 6.4%
[
22.5%
-
23.0%
]
22.85%
15,911 10.5%
[
23.0%
-
23.5%
]
23.44%
61,785 14.7%
[
23.5%
-
24.0%
]
23.94%
32,036 18.0%
[
24.0%
-
24.5%
]
24.35%
17,400 29.9%
[
26.5%
-
27.0%
]
26.89%
348,547 15.5%
[
27.0%
-
27.5%
]
27.06%
6,246 4.3%
[
27.0%
-
27.5%
]
27.40%
24,520 17.9%
[
27.5%
-
28.0%
]
27.69%
2,438 30.7%
[
29.0%
-
29.5%
]
29.12%
30,068 13.7%
[
30.0%
-
30.5%
]
30.46%
2,896 16.2%
[
30.5%
-
31.0%
]
30.85%
50,453 19.7%
[
31.0%
-
31.5%
]
31.40%
981 38.6%
[
31.5%
-
32.0%
]
31.87%
47,627 20.3%
[
32.0%
-
32.5%
]
32.13%
22,723 12.9%
[
32.5%
-
33.0%
]
32.52%
3,887 5.7%
[
33.5%
-
34.0%
]
33.55%
25,957 3.8%
[
34.0%
-
34.5%
]
34.12%
25,771 9.8%
[
34.5%
-
35.0%
]
34.54%
46,225 2.1%
[
35.0%
-
35.5%
]
35.08%
13,932 8.3%
[
35.5%
-
36.0%
]
35.67%
45,038 16.5%
[
36.0%
-
36.5%
]
36.04%
55,888 4.9%
[
36.0%
-
36.5%
]
36.47%
34,001 3.4%
[
37.0%
-
37.5%
]
37.43%
9,571 0.70%
[
37.5%
-
38.0%
]
37.65%
50,793 10.5%
[
38.0%
-
38.5%
]
38.32%
51,598 1.1%
[
38.5%
-
39.0%
]
38.62%
35,493 4.2%
[
38.5%
-
39.0%
]
38.98%
49,491 2.4%
[
39.0%
-
39.5%
]
39.14%
41,560 4.7%
[
39.5%
-
40.0%
]
39.66%
27,423 7.6%
[
40.0%
-
40.5%
]
40.46%
54,362 5.6%
[
42.5%
-
43.0%
]
42.78%
18,802 2.4%
[
44.5%
-
45.0%
]
44.83%
21,546 4.2%