Indian (Asian) 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

Indian (Asian) Child Poverty Among Boys Under 16
Exceptional

13.3%
POVERTY | BOYS < 16
99.9/ 100
METRIC RATING
20th/ 347
METRIC RANK

Indian (Asian) Child Poverty Among Boys Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 482,755,823 people shows a poor positive correlation between the proportion of Indians (Asian) and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.122 and weighted average of 13.3%. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.047% in poverty level among boys under the age of 16.
Indian (Asian) Child Poverty Among Boys Under 16
It is essential to understand that the correlation between the percentage of Indians (Asian) 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 Indians (Asian) influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Indians (Asian) 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 Indians (Asian) by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Indians (Asian) are Bolivian (13.3%, a difference of 0.040%), Bulgarian (13.3%, a difference of 0.10%), Immigrants from Eastern Asia (13.3%, a difference of 0.59%), Norwegian (13.2%, a difference of 0.63%), and Tongan (13.4%, a difference of 0.68%).
DemographicsRating | RankChild Poverty Among Boys Under 16
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%
Bulgarians
99.9
/100
|
#18
Exceptional
13.3%
Bolivians
99.9
/100
|
#19
Exceptional
13.3%
Indians (Asian)
99.9
/100
|
#20
Exceptional
13.3%
Immigrants from Eastern Asia
99.9
/100
|
#21
Exceptional
13.3%
Tongans
99.9
/100
|
#22
Exceptional
13.4%
Latvians
99.9
/100
|
#23
Exceptional
13.4%
Immigrants from Lithuania
99.8
/100
|
#24
Exceptional
13.5%
Okinawans
99.8
/100
|
#25
Exceptional
13.5%
Immigrants from Bolivia
99.8
/100
|
#26
Exceptional
13.5%
Asians
99.8
/100
|
#27
Exceptional
13.5%

Indian (Asian) Child Poverty Among Boys Under 16 Correlation Summary

MeasurementIndian (Asian) DataChild Poverty Among Boys Under 16 Data
Minimum0.19%0.83%
Maximum58.7%36.4%
Range58.5%35.6%
Mean22.1%11.4%
Median20.6%10.6%
Interquartile 25% (IQ1)10.3%8.4%
Interquartile 75% (IQ3)32.1%13.6%
Interquartile Range (IQR)21.8%5.2%
Standard Deviation (Sample)14.3%5.5%
Standard Deviation (Population)14.2%5.5%

Correlation Details

Indian (Asian) PercentileSample SizeChild Poverty Among Boys Under 16
[
0.0%
-
0.5%
]
0.19%
137,697,00821.4%
[
0.5%
-
1.0%
]
0.57%
106,103,53518.1%
[
0.5%
-
1.0%
]
0.95%
61,362,89916.0%
[
1.0%
-
1.5%
]
1.34%
35,195,21214.1%
[
1.5%
-
2.0%
]
1.72%
25,165,00114.0%
[
2.0%
-
2.5%
]
2.11%
16,966,00712.5%
[
2.5%
-
3.0%
]
2.51%
17,579,49116.0%
[
2.5%
-
3.0%
]
2.91%
11,078,02614.4%
[
3.0%
-
3.5%
]
3.29%
6,708,81410.5%
[
3.5%
-
4.0%
]
3.67%
5,758,20010.1%
[
4.0%
-
4.5%
]
4.09%
5,644,56012.8%
[
4.0%
-
4.5%
]
4.48%
3,217,9028.6%
[
4.5%
-
5.0%
]
4.83%
3,160,58010.3%
[
5.0%
-
5.5%
]
5.22%
3,937,81513.6%
[
5.5%
-
6.0%
]
5.64%
2,267,1437.6%
[
5.5%
-
6.0%
]
6.00%
2,065,9508.7%
[
6.0%
-
6.5%
]
6.42%
1,498,28910.5%
[
6.5%
-
7.0%
]
6.77%
1,739,54212.1%
[
7.0%
-
7.5%
]
7.25%
10,835,97620.8%
[
7.5%
-
8.0%
]
7.61%
1,016,64610.1%
[
7.5%
-
8.0%
]
7.94%
1,215,7529.3%
[
8.0%
-
8.5%
]
8.34%
1,172,77112.3%
[
8.5%
-
9.0%
]
8.71%
1,854,95111.0%
[
9.0%
-
9.5%
]
9.15%
674,7489.9%
[
9.5%
-
10.0%
]
9.51%
746,5428.8%
[
9.5%
-
10.0%
]
9.99%
1,411,9817.7%
[
10.0%
-
10.5%
]
10.30%
373,2956.5%
[
10.5%
-
11.0%
]
10.62%
401,46412.3%
[
11.0%
-
11.5%
]
11.04%
667,98011.8%
[
11.0%
-
11.5%
]
11.44%
487,4965.9%
[
11.5%
-
12.0%
]
11.85%
689,5888.7%
[
12.0%
-
12.5%
]
12.19%
749,81211.2%
[
12.5%
-
13.0%
]
12.63%
662,76210.0%
[
13.0%
-
13.5%
]
13.01%
413,8679.5%
[
13.0%
-
13.5%
]
13.42%
222,3368.9%
[
13.5%
-
14.0%
]
13.81%
336,11510.9%
[
14.0%
-
14.5%
]
14.08%
531,63010.1%
[
14.5%
-
15.0%
]
14.60%
181,9895.7%
[
14.5%
-
15.0%
]
14.93%
451,7327.9%
[
15.0%
-
15.5%
]
15.27%
733,9115.5%
[
15.5%
-
16.0%
]
15.70%
442,3528.6%
[
16.0%
-
16.5%
]
16.07%
268,5776.4%
[
16.0%
-
16.5%
]
16.41%
506,16410.8%
[
16.5%
-
17.0%
]
16.89%
418,0128.4%
[
17.0%
-
17.5%
]
17.25%
82,3779.5%
[
17.5%
-
18.0%
]
17.63%
329,86316.1%
[
17.5%
-
18.0%
]
17.97%
633,95811.7%
[
18.0%
-
18.5%
]
18.43%
526,4267.0%
[
18.5%
-
19.0%
]
18.87%
326,05312.5%
[
19.0%
-
19.5%
]
19.11%
110,63313.0%
[
19.0%
-
19.5%
]
19.48%
318,6555.5%
[
20.0%
-
20.5%
]
20.02%
792,67315.4%
[
20.0%
-
20.5%
]
20.43%
102,61811.4%
[
20.5%
-
21.0%
]
20.74%
232,87414.0%
[
21.0%
-
21.5%
]
21.21%
65,31210.6%
[
21.0%
-
21.5%
]
21.41%
203,8863.2%
[
21.5%
-
22.0%
]
21.85%
64,9466.0%
[
22.0%
-
22.5%
]
22.28%
68,9875.3%
[
22.5%
-
23.0%
]
22.72%
124,9577.9%
[
23.0%
-
23.5%
]
23.09%
144,6019.0%
[
23.0%
-
23.5%
]
23.36%
862,6247.6%
[
23.5%
-
24.0%
]
23.95%
60,81510.1%
[
24.0%
-
24.5%
]
24.23%
176,20610.5%
[
24.5%
-
25.0%
]
24.58%
45,46612.7%
[
25.0%
-
25.5%
]
25.50%
49,3520.84%
[
25.5%
-
26.0%
]
25.62%
91,83325.8%
[
26.5%
-
27.0%
]
26.69%
50,73411.8%
[
26.5%
-
27.0%
]
26.85%
88,53110.1%
[
27.0%
-
27.5%
]
27.32%
29,39420.0%
[
27.5%
-
28.0%
]
27.87%
124,60911.7%
[
27.5%
-
28.0%
]
27.93%
52,70713.9%
[
28.0%
-
28.5%
]
28.48%
108,62611.0%
[
28.5%
-
29.0%
]
28.77%
46,42414.4%
[
29.0%
-
29.5%
]
29.10%
114,8783.4%
[
29.5%
-
30.0%
]
29.57%
90,1216.0%
[
29.5%
-
30.0%
]
29.99%
90,5343.5%
[
30.0%
-
30.5%
]
30.34%
118,43721.8%
[
31.0%
-
31.5%
]
31.18%
19,92812.2%
[
31.5%
-
32.0%
]
31.53%
48,93010.7%
[
32.0%
-
32.5%
]
32.10%
38,5547.7%
[
32.0%
-
32.5%
]
32.32%
98,73011.5%
[
34.0%
-
34.5%
]
34.02%
135,97125.9%
[
34.0%
-
34.5%
]
34.14%
43,3044.4%
[
35.5%
-
36.0%
]
35.63%
80,8808.3%
[
36.0%
-
36.5%
]
36.18%
65,92210.8%
[
36.5%
-
37.0%
]
36.54%
31,98611.5%
[
37.0%
-
37.5%
]
37.05%
62,69215.4%
[
37.0%
-
37.5%
]
37.29%
140,60022.4%
[
38.0%
-
38.5%
]
38.11%
129,50410.1%
[
38.5%
-
39.0%
]
38.57%
110,60811.8%
[
38.5%
-
39.0%
]
38.86%
85,5259.0%
[
39.0%
-
39.5%
]
39.20%
7,7862.0%
[
40.0%
-
40.5%
]
40.24%
22,65415.0%
[
40.5%
-
41.0%
]
40.62%
28,2129.1%
[
41.5%
-
42.0%
]
41.51%
33,9376.4%
[
42.5%
-
43.0%
]
42.62%
59,41013.3%
[
43.0%
-
43.5%
]
43.21%
83,1147.0%
[
43.5%
-
44.0%
]
43.76%
91,78114.1%
[
43.5%
-
44.0%
]
43.92%
25,46015.3%
[
45.0%
-
45.5%
]
45.16%
37,34012.1%
[
47.0%
-
47.5%
]
47.13%
89,53620.4%
[
47.5%
-
48.0%
]
47.80%
95,9429.0%
[
49.0%
-
49.5%
]
49.15%
12,07036.4%
[
54.0%
-
54.5%
]
54.04%
25,0010.83%
[
55.5%
-
56.0%
]
55.81%
26,41814.9%
[
58.5%
-
59.0%
]
58.72%
79,49526.1%