Immigrants from Europe Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Immigrants from Europe Child Poverty Among Girls Under 16
14.4%
POVERTY | GIRLS < 16
98.7/ 100
METRIC RATING
63rd/ 347
METRIC RANK
Immigrants from Europe Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 528,272,896 people shows a poor positive correlation between the proportion of Immigrants from Europe and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.145 and weighted average of 14.4%. On average, for every 1% (one percent) increase in Immigrants from Europe within a typical geography, there is an increase of 0.10% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Europe and poverty level among girls under the age of 16 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Europe influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Immigrants from Europe simply ended up residing in those areas with higher or lower levels of poverty level among girls under the age of 16 due to other factors.
Demographics Similar to Immigrants from Europe by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Europe are Scandinavian (14.4%, a difference of 0.050%), Immigrants from Philippines (14.4%, a difference of 0.11%), Immigrants from Sweden (14.5%, a difference of 0.14%), Polish (14.4%, a difference of 0.16%), and Cambodian (14.4%, a difference of 0.16%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Immigrants from Indonesia | 98.9 /100 | #56 | Exceptional 14.4% |
| Immigrants from Serbia | 98.9 /100 | #57 | Exceptional 14.4% |
| Immigrants from Bulgaria | 98.8 /100 | #58 | Exceptional 14.4% |
| Zimbabweans | 98.8 /100 | #59 | Exceptional 14.4% |
| Poles | 98.7 /100 | #60 | Exceptional 14.4% |
| Cambodians | 98.7 /100 | #61 | Exceptional 14.4% |
| Scandinavians | 98.7 /100 | #62 | Exceptional 14.4% |
| Immigrants from Europe | 98.7 /100 | #63 | Exceptional 14.4% |
| Immigrants from Philippines | 98.6 /100 | #64 | Exceptional 14.4% |
| Immigrants from Sweden | 98.6 /100 | #65 | Exceptional 14.5% |
| Immigrants from Belgium | 98.5 /100 | #66 | Exceptional 14.5% |
| Laotians | 98.4 /100 | #67 | Exceptional 14.5% |
| Immigrants from Argentina | 98.3 /100 | #68 | Exceptional 14.6% |
| Immigrants from Poland | 98.2 /100 | #69 | Exceptional 14.6% |
| Europeans | 98.1 /100 | #70 | Exceptional 14.6% |
Immigrants from Europe Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Immigrants from Europe Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.26% | 2.1% |
| Maximum | 35.9% | 29.0% |
| Range | 35.6% | 26.9% |
| Mean | 12.7% | 14.1% |
| Median | 11.5% | 12.6% |
| Interquartile 25% (IQ1) | 5.7% | 10.2% |
| Interquartile 75% (IQ3) | 17.4% | 16.7% |
| Interquartile Range (IQR) | 11.6% | 6.5% |
| Standard Deviation (Sample) | 8.9% | 6.4% |
| Standard Deviation (Population) | 8.8% | 6.3% |
Correlation Details
| Immigrants from Europe Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.26% | 139,783,559 | 23.8% |
[ 0.5% - 1.0% ] 0.72% | 126,857,987 | 18.2% |
[ 1.0% - 1.5% ] 1.24% | 78,884,911 | 15.4% |
[ 1.5% - 2.0% ] 1.72% | 49,195,945 | 13.5% |
[ 2.0% - 2.5% ] 2.25% | 38,641,823 | 14.6% |
[ 2.5% - 3.0% ] 2.74% | 22,584,291 | 11.1% |
[ 3.0% - 3.5% ] 3.25% | 17,821,946 | 13.9% |
[ 3.5% - 4.0% ] 3.72% | 9,946,935 | 11.0% |
[ 4.0% - 4.5% ] 4.24% | 7,971,456 | 9.2% |
[ 4.5% - 5.0% ] 4.73% | 5,200,628 | 10.4% |
[ 5.0% - 5.5% ] 5.13% | 13,992,190 | 18.0% |
[ 5.5% - 6.0% ] 5.74% | 3,910,755 | 10.7% |
[ 6.0% - 6.5% ] 6.24% | 2,444,294 | 10.2% |
[ 6.5% - 7.0% ] 6.76% | 2,269,065 | 8.9% |
[ 7.0% - 7.5% ] 7.24% | 1,284,260 | 10.8% |
[ 7.5% - 8.0% ] 7.76% | 1,071,327 | 8.8% |
[ 8.0% - 8.5% ] 8.27% | 813,928 | 12.1% |
[ 8.5% - 9.0% ] 8.71% | 753,053 | 10.7% |
[ 9.0% - 9.5% ] 9.26% | 774,103 | 7.8% |
[ 9.5% - 10.0% ] 9.74% | 403,129 | 12.5% |
[ 10.0% - 10.5% ] 10.28% | 618,602 | 16.6% |
[ 10.5% - 11.0% ] 10.76% | 108,000 | 12.3% |
[ 11.0% - 11.5% ] 11.30% | 291,475 | 16.4% |
[ 11.5% - 12.0% ] 11.78% | 434,635 | 14.4% |
[ 12.0% - 12.5% ] 12.22% | 370,863 | 17.2% |
[ 12.5% - 13.0% ] 12.74% | 171,640 | 26.9% |
[ 13.0% - 13.5% ] 13.21% | 286,947 | 11.6% |
[ 13.5% - 14.0% ] 13.54% | 121,592 | 6.9% |
[ 14.0% - 14.5% ] 14.19% | 225,441 | 14.2% |
[ 14.5% - 15.0% ] 14.80% | 140,150 | 5.1% |
[ 15.0% - 15.5% ] 15.30% | 239,636 | 16.7% |
[ 15.5% - 16.0% ] 15.71% | 38,261 | 12.7% |
[ 16.0% - 16.5% ] 16.24% | 53,720 | 10.2% |
[ 16.5% - 17.0% ] 16.68% | 120,932 | 10.2% |
[ 17.0% - 17.5% ] 17.35% | 81,109 | 18.9% |
[ 17.5% - 18.0% ] 17.60% | 2,551 | 29.0% |
[ 18.0% - 18.5% ] 18.25% | 37,004 | 22.6% |
[ 20.0% - 20.5% ] 20.18% | 65,077 | 28.6% |
[ 21.0% - 21.5% ] 21.05% | 29,633 | 8.0% |
[ 21.5% - 22.0% ] 21.83% | 1,864 | 2.1% |
[ 26.5% - 27.0% ] 26.65% | 17,166 | 6.5% |
[ 27.0% - 27.5% ] 27.26% | 72,126 | 27.3% |
[ 28.0% - 28.5% ] 28.03% | 23,200 | 13.5% |
[ 28.5% - 29.0% ] 28.80% | 8,942 | 6.8% |
[ 33.0% - 33.5% ] 33.45% | 23,676 | 26.0% |
[ 35.5% - 36.0% ] 35.90% | 83,069 | 16.1% |