Immigrants from Philippines Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
Immigrants from Philippines Child Poverty Among Boys Under 16
14.3%
POVERTY | BOYS < 16
99.0/ 100
METRIC RATING
53rd/ 347
METRIC RANK
Immigrants from Philippines Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 461,906,754 people shows a poor positive correlation between the proportion of Immigrants from Philippines and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.132 and weighted average of 14.3%. On average, for every 1% (one percent) increase in Immigrants from Philippines within a typical geography, there is an increase of 0.12% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Philippines 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 Philippines 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 Philippines 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 Philippines by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Immigrants from Philippines are Laotian (14.3%, a difference of 0.040%), Immigrants from Serbia (14.3%, a difference of 0.080%), Immigrants from Pakistan (14.3%, a difference of 0.13%), Zimbabwean (14.3%, a difference of 0.13%), and Polish (14.4%, a difference of 0.24%).
| Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
| 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% |
| Italians | 99.2 /100 | #50 | Exceptional 14.2% |
| Immigrants from Greece | 99.2 /100 | #51 | Exceptional 14.2% |
| Laotians | 99.0 /100 | #52 | Exceptional 14.3% |
| Immigrants from Philippines | 99.0 /100 | #53 | Exceptional 14.3% |
| Immigrants from Serbia | 99.0 /100 | #54 | Exceptional 14.3% |
| Immigrants from Pakistan | 99.0 /100 | #55 | Exceptional 14.3% |
| Zimbabweans | 99.0 /100 | #56 | Exceptional 14.3% |
| Poles | 98.9 /100 | #57 | Exceptional 14.4% |
| Immigrants from Sweden | 98.9 /100 | #58 | Exceptional 14.4% |
| Immigrants from Czechoslovakia | 98.9 /100 | #59 | Exceptional 14.4% |
| Immigrants from Belgium | 98.9 /100 | #60 | Exceptional 14.4% |
Immigrants from Philippines Child Poverty Among Boys Under 16 Correlation Summary
| Measurement | Immigrants from Philippines Data | Child Poverty Among Boys Under 16 Data |
| Minimum | 0.21% | 3.6% |
| Maximum | 47.5% | 52.9% |
| Range | 47.3% | 49.4% |
| Mean | 15.1% | 14.9% |
| Median | 13.7% | 12.9% |
| Interquartile 25% (IQ1) | 6.8% | 9.5% |
| Interquartile 75% (IQ3) | 22.2% | 15.7% |
| Interquartile Range (IQR) | 15.5% | 6.2% |
| Standard Deviation (Sample) | 10.2% | 9.1% |
| Standard Deviation (Population) | 10.1% | 9.0% |
Correlation Details
| Immigrants from Philippines Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.21% | 291,437,834 | 18.2% |
[ 0.5% - 1.0% ] 0.70% | 78,957,927 | 15.4% |
[ 1.0% - 1.5% ] 1.23% | 27,970,563 | 14.1% |
[ 1.5% - 2.0% ] 1.72% | 16,702,790 | 12.3% |
[ 2.0% - 2.5% ] 2.23% | 13,327,775 | 16.0% |
[ 2.5% - 3.0% ] 2.71% | 8,614,663 | 12.8% |
[ 3.0% - 3.5% ] 3.21% | 7,968,163 | 12.4% |
[ 3.5% - 4.0% ] 3.78% | 3,472,073 | 13.8% |
[ 4.0% - 4.5% ] 4.24% | 3,034,422 | 14.1% |
[ 4.5% - 5.0% ] 4.71% | 1,715,561 | 14.0% |
[ 5.0% - 5.5% ] 5.20% | 692,772 | 14.2% |
[ 5.5% - 6.0% ] 5.77% | 1,385,545 | 12.5% |
[ 6.0% - 6.5% ] 6.19% | 977,230 | 13.7% |
[ 6.5% - 7.0% ] 6.76% | 766,121 | 13.7% |
[ 7.0% - 7.5% ] 7.28% | 524,644 | 8.9% |
[ 7.5% - 8.0% ] 7.72% | 874,734 | 10.7% |
[ 8.0% - 8.5% ] 8.17% | 729,554 | 15.3% |
[ 8.5% - 9.0% ] 8.66% | 243,212 | 7.6% |
[ 9.0% - 9.5% ] 9.21% | 273,904 | 7.0% |
[ 9.5% - 10.0% ] 9.71% | 9,359 | 17.3% |
[ 10.0% - 10.5% ] 10.22% | 152,693 | 7.6% |
[ 10.5% - 11.0% ] 10.68% | 1,666 | 43.7% |
[ 11.0% - 11.5% ] 11.23% | 98,961 | 12.6% |
[ 11.5% - 12.0% ] 11.65% | 261,820 | 17.0% |
[ 12.0% - 12.5% ] 12.29% | 412,593 | 7.1% |
[ 12.5% - 13.0% ] 12.79% | 115,516 | 8.4% |
[ 13.0% - 13.5% ] 13.12% | 25,036 | 20.4% |
[ 13.5% - 14.0% ] 13.71% | 183,352 | 15.7% |
[ 14.0% - 14.5% ] 14.15% | 152,755 | 10.4% |
[ 14.5% - 15.0% ] 14.73% | 49,987 | 11.2% |
[ 15.0% - 15.5% ] 15.14% | 3,766 | 36.1% |
[ 15.5% - 16.0% ] 15.88% | 48,452 | 7.3% |
[ 16.0% - 16.5% ] 16.13% | 130,052 | 10.3% |
[ 17.0% - 17.5% ] 17.35% | 4,656 | 23.1% |
[ 18.0% - 18.5% ] 18.22% | 4,628 | 5.7% |
[ 18.5% - 19.0% ] 18.84% | 12,906 | 12.2% |
[ 19.0% - 19.5% ] 19.04% | 1,376 | 14.5% |
[ 19.5% - 20.0% ] 19.86% | 65,125 | 11.1% |
[ 20.0% - 20.5% ] 20.28% | 208,714 | 9.5% |
[ 20.5% - 21.0% ] 20.61% | 6,469 | 6.2% |
[ 21.5% - 22.0% ] 21.94% | 20,127 | 8.7% |
[ 22.0% - 22.5% ] 22.22% | 2,255 | 6.6% |
[ 22.5% - 23.0% ] 22.94% | 7,179 | 13.8% |
[ 23.0% - 23.5% ] 23.16% | 3,800 | 15.3% |
[ 24.0% - 24.5% ] 24.18% | 27,233 | 12.9% |
[ 24.5% - 25.0% ] 24.71% | 52,328 | 26.6% |
[ 25.0% - 25.5% ] 25.49% | 25,902 | 7.9% |
[ 25.5% - 26.0% ] 25.90% | 72,605 | 11.2% |
[ 27.0% - 27.5% ] 27.25% | 15,167 | 10.2% |
[ 27.5% - 28.0% ] 27.79% | 6,550 | 33.5% |
[ 31.0% - 31.5% ] 31.18% | 3,576 | 23.8% |
[ 31.5% - 32.0% ] 31.63% | 98 | 52.9% |
[ 33.5% - 34.0% ] 33.96% | 45,457 | 14.4% |
[ 34.0% - 34.5% ] 34.06% | 4,342 | 21.9% |
[ 47.5% - 48.0% ] 47.52% | 766 | 3.6% |