Immigrants from Korea Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
Immigrants from Korea Child Poverty Among Boys Under 16
13.0%
POVERTY | BOYS < 16
99.9/ 100
METRIC RATING
13th/ 347
METRIC RANK
Immigrants from Korea Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 408,025,168 people shows a mild positive correlation between the proportion of Immigrants from Korea and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.350 and weighted average of 13.0%. On average, for every 1% (one percent) increase in Immigrants from Korea within a typical geography, there is an increase of 0.35% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Korea 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 Immigrants from Korea influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Immigrants from Korea 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 Immigrants from Korea by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Immigrants from Korea are Burmese (13.0%, a difference of 0.50%), Immigrants from Ireland (13.1%, a difference of 0.66%), Immigrants from Japan (13.1%, a difference of 0.76%), Maltese (13.2%, a difference of 1.1%), and Norwegian (13.2%, a difference of 1.2%).
| Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
| 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% |
| 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 Korea Child Poverty Among Boys Under 16 Correlation Summary
| Measurement | Immigrants from Korea Data | Child Poverty Among Boys Under 16 Data |
| Minimum | 0.13% | 0.39% |
| Maximum | 39.4% | 41.5% |
| Range | 39.3% | 41.1% |
| Mean | 9.5% | 11.6% |
| Median | 7.7% | 10.0% |
| Interquartile 25% (IQ1) | 3.8% | 7.4% |
| Interquartile 75% (IQ3) | 14.6% | 14.7% |
| Interquartile Range (IQR) | 10.8% | 7.3% |
| Standard Deviation (Sample) | 7.8% | 7.8% |
| Standard Deviation (Population) | 7.8% | 7.7% |
Correlation Details
| Immigrants from Korea Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.13% | 258,929,150 | 18.1% |
[ 0.0% - 0.5% ] 0.45% | 76,363,681 | 15.0% |
[ 0.5% - 1.0% ] 0.76% | 28,533,726 | 10.8% |
[ 1.0% - 1.5% ] 1.07% | 15,041,119 | 10.6% |
[ 1.0% - 1.5% ] 1.37% | 7,373,032 | 8.9% |
[ 1.5% - 2.0% ] 1.78% | 7,583,358 | 14.8% |
[ 1.5% - 2.0% ] 1.99% | 2,994,854 | 9.4% |
[ 2.0% - 2.5% ] 2.32% | 1,876,627 | 11.1% |
[ 2.5% - 3.0% ] 2.66% | 1,703,692 | 11.3% |
[ 2.5% - 3.0% ] 2.95% | 1,289,171 | 10.1% |
[ 3.0% - 3.5% ] 3.28% | 915,133 | 10.0% |
[ 3.5% - 4.0% ] 3.60% | 589,106 | 7.7% |
[ 3.5% - 4.0% ] 3.94% | 430,639 | 8.5% |
[ 4.0% - 4.5% ] 4.20% | 427,174 | 7.4% |
[ 4.0% - 4.5% ] 4.50% | 526,538 | 7.9% |
[ 4.5% - 5.0% ] 4.83% | 482,360 | 10.2% |
[ 5.0% - 5.5% ] 5.11% | 188,347 | 11.1% |
[ 5.0% - 5.5% ] 5.45% | 195,243 | 6.5% |
[ 5.5% - 6.0% ] 5.76% | 256,413 | 15.1% |
[ 6.0% - 6.5% ] 6.05% | 169,341 | 7.4% |
[ 6.0% - 6.5% ] 6.33% | 192,348 | 7.7% |
[ 6.5% - 7.0% ] 6.79% | 162,270 | 7.5% |
[ 6.5% - 7.0% ] 6.96% | 87,480 | 3.6% |
[ 7.0% - 7.5% ] 7.37% | 93,669 | 22.2% |
[ 7.5% - 8.0% ] 7.69% | 220,378 | 9.6% |
[ 7.5% - 8.0% ] 7.91% | 170,007 | 5.3% |
[ 8.0% - 8.5% ] 8.21% | 238,163 | 11.6% |
[ 8.5% - 9.0% ] 8.56% | 189,492 | 5.5% |
[ 8.5% - 9.0% ] 8.86% | 138,479 | 25.3% |
[ 9.0% - 9.5% ] 9.16% | 51,089 | 8.6% |
[ 9.5% - 10.0% ] 9.63% | 27,788 | 14.6% |
[ 9.5% - 10.0% ] 9.69% | 98,267 | 9.9% |
[ 10.0% - 10.5% ] 10.25% | 37,647 | 11.3% |
[ 11.5% - 12.0% ] 11.98% | 9,273 | 18.2% |
[ 12.0% - 12.5% ] 12.46% | 30,598 | 5.2% |
[ 13.5% - 14.0% ] 13.57% | 36,151 | 18.4% |
[ 13.5% - 14.0% ] 13.94% | 48,796 | 10.4% |
[ 15.0% - 15.5% ] 15.20% | 52,799 | 6.1% |
[ 15.0% - 15.5% ] 15.40% | 5,336 | 0.39% |
[ 15.5% - 16.0% ] 15.71% | 18,210 | 2.9% |
[ 16.0% - 16.5% ] 16.49% | 40,285 | 10.3% |
[ 16.5% - 17.0% ] 16.50% | 39,781 | 9.6% |
[ 17.5% - 18.0% ] 17.93% | 37,754 | 30.1% |
[ 18.0% - 18.5% ] 18.33% | 38,400 | 25.5% |
[ 18.0% - 18.5% ] 18.50% | 18,564 | 1.7% |
[ 18.5% - 19.0% ] 18.97% | 5,863 | 1.4% |
[ 19.0% - 19.5% ] 19.20% | 22,930 | 4.7% |
[ 31.0% - 31.5% ] 31.21% | 4,185 | 41.5% |
[ 39.0% - 39.5% ] 39.39% | 40,462 | 25.0% |