Polish Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Polish Child Poverty Among Girls Under 16
14.4%
POVERTY | GIRLS < 16
98.7/ 100
METRIC RATING
60th/ 347
METRIC RANK
Polish Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 538,484,152 people shows a mild positive correlation between the proportion of Poles and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.323 and weighted average of 14.4%. On average, for every 1% (one percent) increase in Poles within a typical geography, there is an increase of 0.17% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Poles 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 Poles influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Poles 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 Poles by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Poles are Cambodian (14.4%, a difference of 0.0%), Scandinavian (14.4%, a difference of 0.12%), Immigrants from Europe (14.4%, a difference of 0.16%), Zimbabwean (14.4%, a difference of 0.19%), and Immigrants from Bulgaria (14.4%, a difference of 0.25%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Luxembourgers | 99.0 /100 | #53 | Exceptional 14.3% |
| Estonians | 98.9 /100 | #54 | Exceptional 14.3% |
| Immigrants from Romania | 98.9 /100 | #55 | Exceptional 14.3% |
| 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% |
Polish Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Polish Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.26% | 1.0% |
| Maximum | 75.2% | 44.4% |
| Range | 75.0% | 43.4% |
| Mean | 21.2% | 14.9% |
| Median | 20.0% | 13.0% |
| Interquartile 25% (IQ1) | 10.0% | 10.8% |
| Interquartile 75% (IQ3) | 30.0% | 16.1% |
| Interquartile Range (IQR) | 20.0% | 5.2% |
| Standard Deviation (Sample) | 14.4% | 7.6% |
| Standard Deviation (Population) | 14.3% | 7.6% |
Correlation Details
| Polish Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.26% | 83,301,462 | 25.0% |
[ 0.5% - 1.0% ] 0.76% | 87,099,066 | 20.4% |
[ 1.0% - 1.5% ] 1.26% | 80,303,070 | 17.6% |
[ 1.5% - 2.0% ] 1.74% | 62,822,254 | 15.5% |
[ 2.0% - 2.5% ] 2.23% | 55,732,338 | 16.2% |
[ 2.5% - 3.0% ] 2.75% | 33,384,679 | 13.5% |
[ 3.0% - 3.5% ] 3.24% | 25,067,966 | 12.5% |
[ 3.5% - 4.0% ] 3.76% | 16,896,125 | 14.5% |
[ 4.0% - 4.5% ] 4.24% | 13,217,737 | 13.2% |
[ 4.5% - 5.0% ] 4.74% | 10,012,485 | 12.2% |
[ 5.0% - 5.5% ] 5.20% | 10,891,366 | 15.9% |
[ 5.5% - 6.0% ] 5.75% | 8,373,354 | 14.1% |
[ 6.0% - 6.5% ] 6.23% | 6,407,421 | 13.5% |
[ 6.5% - 7.0% ] 6.73% | 5,695,819 | 14.2% |
[ 7.0% - 7.5% ] 7.21% | 4,666,380 | 14.8% |
[ 7.5% - 8.0% ] 7.74% | 3,344,189 | 13.8% |
[ 8.0% - 8.5% ] 8.23% | 4,290,409 | 11.0% |
[ 8.5% - 9.0% ] 8.75% | 3,309,064 | 13.8% |
[ 9.0% - 9.5% ] 9.24% | 2,842,207 | 11.7% |
[ 9.5% - 10.0% ] 9.75% | 2,297,837 | 10.9% |
[ 10.0% - 10.5% ] 10.22% | 1,765,568 | 10.7% |
[ 10.5% - 11.0% ] 10.76% | 1,889,348 | 14.0% |
[ 11.0% - 11.5% ] 11.25% | 1,766,512 | 11.5% |
[ 11.5% - 12.0% ] 11.72% | 1,465,161 | 13.0% |
[ 12.0% - 12.5% ] 12.21% | 1,380,517 | 11.6% |
[ 12.5% - 13.0% ] 12.76% | 1,158,130 | 12.7% |
[ 13.0% - 13.5% ] 13.23% | 1,214,295 | 10.6% |
[ 13.5% - 14.0% ] 13.77% | 719,263 | 10.1% |
[ 14.0% - 14.5% ] 14.23% | 960,522 | 11.8% |
[ 14.5% - 15.0% ] 14.72% | 594,221 | 12.3% |
[ 15.0% - 15.5% ] 15.27% | 648,907 | 9.7% |
[ 15.5% - 16.0% ] 15.73% | 702,955 | 9.0% |
[ 16.0% - 16.5% ] 16.29% | 779,161 | 10.6% |
[ 16.5% - 17.0% ] 16.74% | 330,688 | 13.1% |
[ 17.0% - 17.5% ] 17.22% | 313,244 | 12.0% |
[ 17.5% - 18.0% ] 17.73% | 336,369 | 11.6% |
[ 18.0% - 18.5% ] 18.24% | 329,212 | 18.4% |
[ 18.5% - 19.0% ] 18.79% | 320,739 | 10.5% |
[ 19.0% - 19.5% ] 19.17% | 135,726 | 11.3% |
[ 19.5% - 20.0% ] 19.77% | 158,418 | 20.7% |
[ 20.0% - 20.5% ] 20.27% | 182,871 | 8.4% |
[ 20.5% - 21.0% ] 20.69% | 49,649 | 27.7% |
[ 21.0% - 21.5% ] 21.25% | 71,183 | 25.0% |
[ 21.5% - 22.0% ] 21.81% | 54,414 | 6.4% |
[ 22.0% - 22.5% ] 22.15% | 135,543 | 11.7% |
[ 22.5% - 23.0% ] 22.72% | 156,901 | 14.5% |
[ 23.0% - 23.5% ] 23.25% | 101,175 | 10.9% |
[ 23.5% - 24.0% ] 23.66% | 36,126 | 15.5% |
[ 24.0% - 24.5% ] 24.16% | 99,802 | 12.3% |
[ 24.5% - 25.0% ] 24.83% | 44,119 | 3.9% |
[ 25.0% - 25.5% ] 25.24% | 102,487 | 6.7% |
[ 25.5% - 26.0% ] 25.65% | 9,055 | 7.9% |
[ 26.0% - 26.5% ] 26.16% | 106,178 | 11.2% |
[ 26.5% - 27.0% ] 26.89% | 31,359 | 33.0% |
[ 27.0% - 27.5% ] 27.14% | 12,310 | 8.8% |
[ 27.5% - 28.0% ] 27.71% | 25,633 | 9.2% |
[ 28.0% - 28.5% ] 28.20% | 11,040 | 11.9% |
[ 28.5% - 29.0% ] 28.76% | 73,306 | 3.4% |
[ 29.0% - 29.5% ] 29.43% | 2,606 | 4.6% |
[ 29.5% - 30.0% ] 29.60% | 6,547 | 19.8% |
[ 30.0% - 30.5% ] 30.31% | 27,167 | 26.1% |
[ 30.5% - 31.0% ] 30.75% | 13,549 | 9.2% |
[ 31.0% - 31.5% ] 31.29% | 79,388 | 15.5% |
[ 31.5% - 32.0% ] 31.58% | 35,591 | 14.1% |
[ 32.0% - 32.5% ] 32.33% | 23,223 | 24.4% |
[ 32.5% - 33.0% ] 32.65% | 23,134 | 10.2% |
[ 33.0% - 33.5% ] 33.43% | 2,824 | 21.3% |
[ 33.5% - 34.0% ] 33.88% | 732 | 14.0% |
[ 34.0% - 34.5% ] 34.28% | 5,365 | 15.1% |
[ 34.5% - 35.0% ] 34.80% | 523 | 33.3% |
[ 35.0% - 35.5% ] 35.16% | 1,169 | 11.6% |
[ 37.0% - 37.5% ] 37.12% | 23,676 | 26.0% |
[ 37.5% - 38.0% ] 37.61% | 2,034 | 14.6% |
[ 39.5% - 40.0% ] 39.57% | 877 | 37.9% |
[ 42.0% - 42.5% ] 42.06% | 2,936 | 22.0% |
[ 45.5% - 46.0% ] 45.90% | 2,525 | 1.0% |
[ 47.0% - 47.5% ] 47.16% | 1,902 | 25.4% |
[ 51.0% - 51.5% ] 51.10% | 499 | 5.0% |
[ 61.0% - 61.5% ] 61.42% | 324 | 25.0% |
[ 75.0% - 75.5% ] 75.22% | 226 | 44.4% |