Korean 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

Korean Child Poverty Among Boys Under 16
Exceptional

14.0%
POVERTY | BOYS < 16
99.6/ 100
METRIC RATING
42nd/ 347
METRIC RANK

Korean Child Poverty Among Boys Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 498,598,673 people shows a poor positive correlation between the proportion of Koreans and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.167 and weighted average of 14.0%. On average, for every 1% (one percent) increase in Koreans within a typical geography, there is an increase of 0.061% in poverty level among boys under the age of 16.
Korean Child Poverty Among Boys Under 16
It is essential to understand that the correlation between the percentage of Koreans 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 Koreans influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Koreans 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 Koreans by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Koreans are Lithuanian (14.0%, a difference of 0.030%), Immigrants from Asia (13.9%, a difference of 0.11%), Immigrants from Australia (13.9%, a difference of 0.36%), Immigrants from Northern Europe (13.9%, a difference of 0.49%), and Croatian (14.0%, a difference of 0.50%).
DemographicsRating | RankChild Poverty Among Boys Under 16
Russians
99.7
/100
|
#35
Exceptional
13.8%
Luxembourgers
99.7
/100
|
#36
Exceptional
13.8%
Immigrants from Sri Lanka
99.6
/100
|
#37
Exceptional
13.9%
Immigrants from Northern Europe
99.6
/100
|
#38
Exceptional
13.9%
Immigrants from Australia
99.6
/100
|
#39
Exceptional
13.9%
Immigrants from Asia
99.6
/100
|
#40
Exceptional
13.9%
Lithuanians
99.6
/100
|
#41
Exceptional
14.0%
Koreans
99.6
/100
|
#42
Exceptional
14.0%
Croatians
99.5
/100
|
#43
Exceptional
14.0%
Estonians
99.4
/100
|
#44
Exceptional
14.1%
Immigrants from Scotland
99.4
/100
|
#45
Exceptional
14.1%
Greeks
99.4
/100
|
#46
Exceptional
14.1%
Immigrants from Moldova
99.4
/100
|
#47
Exceptional
14.1%
Immigrants from Indonesia
99.4
/100
|
#48
Exceptional
14.1%
Czechs
99.3
/100
|
#49
Exceptional
14.1%

Korean Child Poverty Among Boys Under 16 Correlation Summary

Measurement Korean Data Child Poverty Among Boys Under 16 Data
Minimum 0.26% 1.9%
Maximum 75.3% 42.6%
Range 75.0% 40.6%
Mean 29.3% 13.2%
Median 26.5% 11.9%
Interquartile 25% (IQ1) 13.0% 8.7%
Interquartile 75% (IQ3) 44.6% 15.9%
Interquartile Range (IQR) 31.6% 7.2%
Standard Deviation (Sample) 19.6% 7.2%
Standard Deviation (Population) 19.5% 7.1%

Correlation Details

Korean Percentile Sample Size Child Poverty Among Boys Under 16
[
0.0%
-
0.5%
]
0.26%
177,859,707 20.5%
[
0.5%
-
1.0%
]
0.71%
125,913,938 16.8%
[
1.0%
-
1.5%
]
1.21%
67,913,589 15.8%
[
1.5%
-
2.0%
]
1.72%
26,288,647 13.6%
[
2.0%
-
2.5%
]
2.25%
20,730,521 13.9%
[
2.5%
-
3.0%
]
2.73%
13,556,546 13.4%
[
3.0%
-
3.5%
]
3.23%
9,717,256 11.9%
[
3.5%
-
4.0%
]
3.78%
11,452,173 16.5%
[
4.0%
-
4.5%
]
4.21%
6,530,821 12.7%
[
4.5%
-
5.0%
]
4.74%
4,712,266 11.1%
[
5.0%
-
5.5%
]
5.19%
5,207,100 13.2%
[
5.5%
-
6.0%
]
5.76%
4,695,060 12.9%
[
6.0%
-
6.5%
]
6.28%
3,581,278 13.2%
[
6.5%
-
7.0%
]
6.74%
3,877,458 11.8%
[
7.0%
-
7.5%
]
7.22%
1,616,290 10.0%
[
7.5%
-
8.0%
]
7.73%
1,003,188 11.3%
[
8.0%
-
8.5%
]
8.18%
2,057,138 13.1%
[
8.5%
-
9.0%
]
8.72%
1,378,403 10.6%
[
9.0%
-
9.5%
]
9.29%
1,245,155 15.1%
[
9.5%
-
10.0%
]
9.79%
711,612 12.7%
[
10.0%
-
10.5%
]
10.34%
495,364 16.7%
[
10.5%
-
11.0%
]
10.77%
446,777 11.8%
[
11.0%
-
11.5%
]
11.25%
616,880 9.4%
[
11.5%
-
12.0%
]
11.80%
553,250 14.6%
[
12.0%
-
12.5%
]
12.08%
191,337 14.2%
[
12.5%
-
13.0%
]
12.77%
324,450 9.8%
[
13.0%
-
13.5%
]
13.22%
177,698 7.6%
[
13.5%
-
14.0%
]
13.67%
434,485 10.3%
[
14.0%
-
14.5%
]
14.18%
562,326 9.2%
[
14.5%
-
15.0%
]
14.77%
120,393 10.5%
[
15.0%
-
15.5%
]
15.29%
371,203 10.3%
[
15.5%
-
16.0%
]
15.81%
188,344 6.7%
[
16.0%
-
16.5%
]
16.23%
120,865 12.4%
[
16.5%
-
17.0%
]
16.68%
77,340 19.1%
[
17.0%
-
17.5%
]
17.24%
253,510 10.3%
[
17.5%
-
18.0%
]
17.76%
147,329 8.9%
[
18.0%
-
18.5%
]
18.26%
36,212 22.1%
[
18.5%
-
19.0%
]
18.95%
58,581 7.3%
[
19.0%
-
19.5%
]
19.41%
11,393 14.5%
[
19.5%
-
20.0%
]
19.72%
546,156 14.4%
[
20.0%
-
20.5%
]
20.09%
140,482 14.3%
[
20.5%
-
21.0%
]
20.70%
54,423 1.9%
[
21.0%
-
21.5%
]
21.34%
179,148 12.6%
[
21.5%
-
22.0%
]
21.73%
180,711 12.9%
[
22.0%
-
22.5%
]
22.29%
171,335 20.1%
[
22.5%
-
23.0%
]
22.84%
242,983 7.9%
[
23.0%
-
23.5%
]
23.22%
147,682 11.5%
[
23.5%
-
24.0%
]
23.97%
5,023 21.3%
[
24.5%
-
25.0%
]
24.87%
105,082 12.3%
[
25.0%
-
25.5%
]
25.32%
69,337 6.1%
[
25.5%
-
26.0%
]
25.78%
57,639 14.2%
[
26.0%
-
26.5%
]
26.35%
28,564 26.1%
[
26.5%
-
27.0%
]
26.66%
15,779 6.6%
[
27.0%
-
27.5%
]
27.14%
56,225 4.0%
[
27.5%
-
28.0%
]
27.62%
45,724 7.2%
[
28.0%
-
28.5%
]
28.12%
77,508 9.3%
[
28.5%
-
29.0%
]
28.71%
55,058 1.9%
[
29.0%
-
29.5%
]
29.29%
17,819 7.8%
[
29.5%
-
30.0%
]
29.54%
61,044 8.1%
[
30.0%
-
30.5%
]
30.25%
63,484 8.8%
[
30.5%
-
31.0%
]
30.67%
45,388 10.6%
[
31.5%
-
32.0%
]
31.79%
110,944 8.7%
[
32.0%
-
32.5%
]
32.22%
148,162 10.6%
[
32.5%
-
33.0%
]
32.72%
162,383 10.3%
[
33.0%
-
33.5%
]
33.36%
7,363 25.6%
[
33.5%
-
34.0%
]
33.74%
4,721 5.1%
[
34.5%
-
35.0%
]
34.74%
2,896 16.2%
[
35.5%
-
36.0%
]
35.84%
24,950 8.7%
[
36.0%
-
36.5%
]
36.46%
1,629 13.9%
[
36.5%
-
37.0%
]
36.63%
24,982 11.3%
[
37.5%
-
38.0%
]
37.87%
17,520 9.7%
[
38.0%
-
38.5%
]
38.49%
12,906 12.2%
[
38.5%
-
39.0%
]
38.53%
6,419 23.4%
[
39.5%
-
40.0%
]
39.96%
548 6.5%
[
41.0%
-
41.5%
]
41.37%
17,400 29.9%
[
42.0%
-
42.5%
]
42.22%
5,393 4.3%
[
42.5%
-
43.0%
]
42.74%
3,053 41.4%
[
43.5%
-
44.0%
]
43.57%
3,576 23.8%
[
45.5%
-
46.0%
]
45.67%
7,728 16.0%
[
46.5%
-
47.0%
]
46.69%
59,008 25.3%
[
47.5%
-
48.0%
]
47.85%
82,504 11.0%
[
48.0%
-
48.5%
]
48.05%
17,604 5.7%
[
49.0%
-
49.5%
]
49.39%
2,290 7.3%
[
50.5%
-
51.0%
]
50.78%
27,198 7.0%
[
51.0%
-
51.5%
]
51.00%
27,972 12.6%
[
51.5%
-
52.0%
]
51.88%
6,469 6.2%
[
52.0%
-
52.5%
]
52.44%
25,902 7.9%
[
53.5%
-
54.0%
]
53.63%
17,137 7.2%
[
54.0%
-
54.5%
]
54.42%
5,026 17.1%
[
54.5%
-
55.0%
]
54.63%
3,174 9.1%
[
55.5%
-
56.0%
]
55.61%
766 3.6%
[
56.0%
-
56.5%
]
56.07%
72,605 11.2%
[
57.0%
-
57.5%
]
57.43%
3,961 17.6%
[
57.5%
-
58.0%
]
57.93%
618 16.7%
[
58.0%
-
58.5%
]
58.31%
890 27.7%
[
58.5%
-
59.0%
]
58.82%
1,972 42.6%
[
59.5%
-
60.0%
]
59.90%
2,299 6.6%
[
61.0%
-
61.5%
]
61.06%
2,255 6.6%
[
61.5%
-
62.0%
]
61.89%
19,795 9.1%
[
62.0%
-
62.5%
]
62.24%
3,909 16.7%
[
65.5%
-
66.0%
]
65.90%
39,873 14.2%
[
71.5%
-
72.0%
]
71.88%
6,550 33.5%
[
73.0%
-
73.5%
]
73.27%
1,949 19.7%
[
75.0%
-
75.5%
]
75.28%
1,897 19.7%