Pennsylvania German Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Pennsylvania German Child Poverty Among Girls Under 16
17.8%
POVERTY | GIRLS < 16
5.7/ 100
METRIC RATING
213th/ 347
METRIC RANK
Pennsylvania German Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 230,555,284 people shows a poor positive correlation between the proportion of Pennsylvania Germans and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.164 and weighted average of 17.8%. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.20% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Pennsylvania Germans 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 Pennsylvania Germans influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Pennsylvania Germans 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 Pennsylvania Germans by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Pennsylvania Germans are Malaysian (17.8%, a difference of 0.020%), German Russian (17.8%, a difference of 0.020%), Moroccan (17.8%, a difference of 0.12%), Japanese (17.8%, a difference of 0.21%), and Immigrants from Thailand (17.7%, a difference of 0.26%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Delaware | 11.5 /100 | #206 | Poor 17.4% |
| Hmong | 10.6 /100 | #207 | Poor 17.5% |
| Sierra Leoneans | 8.9 /100 | #208 | Tragic 17.6% |
| Panamanians | 8.7 /100 | #209 | Tragic 17.6% |
| Immigrants | 7.3 /100 | #210 | Tragic 17.7% |
| Immigrants from Eastern Africa | 6.4 /100 | #211 | Tragic 17.7% |
| Immigrants from Thailand | 6.3 /100 | #212 | Tragic 17.7% |
| Pennsylvania Germans | 5.7 /100 | #213 | Tragic 17.8% |
| Malaysians | 5.7 /100 | #214 | Tragic 17.8% |
| German Russians | 5.7 /100 | #215 | Tragic 17.8% |
| Moroccans | 5.5 /100 | #216 | Tragic 17.8% |
| Japanese | 5.3 /100 | #217 | Tragic 17.8% |
| Alaska Natives | 5.2 /100 | #218 | Tragic 17.8% |
| Immigrants from Panama | 4.7 /100 | #219 | Tragic 17.9% |
| Cubans | 4.1 /100 | #220 | Tragic 18.0% |
Pennsylvania German Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Pennsylvania German Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.056% | 4.4% |
| Maximum | 39.7% | 62.7% |
| Range | 39.6% | 58.4% |
| Mean | 14.8% | 20.9% |
| Median | 13.9% | 17.7% |
| Interquartile 25% (IQ1) | 6.1% | 14.1% |
| Interquartile 75% (IQ3) | 21.7% | 23.7% |
| Interquartile Range (IQR) | 15.6% | 9.6% |
| Standard Deviation (Sample) | 10.1% | 12.0% |
| Standard Deviation (Population) | 10.0% | 11.9% |
Correlation Details
| Pennsylvania German Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.056% | 219,690,184 | 17.7% |
[ 0.5% - 1.0% ] 0.72% | 5,067,949 | 16.5% |
[ 1.0% - 1.5% ] 1.23% | 1,914,704 | 20.1% |
[ 1.5% - 2.0% ] 1.72% | 1,268,933 | 18.7% |
[ 2.0% - 2.5% ] 2.22% | 620,638 | 16.9% |
[ 2.5% - 3.0% ] 2.77% | 422,100 | 16.4% |
[ 3.0% - 3.5% ] 3.22% | 307,933 | 15.7% |
[ 3.5% - 4.0% ] 3.73% | 211,207 | 17.3% |
[ 4.0% - 4.5% ] 4.14% | 250,166 | 14.6% |
[ 4.5% - 5.0% ] 4.75% | 151,645 | 14.6% |
[ 5.0% - 5.5% ] 5.28% | 97,329 | 14.8% |
[ 5.5% - 6.0% ] 5.66% | 73,801 | 14.1% |
[ 6.0% - 6.5% ] 6.13% | 52,649 | 11.7% |
[ 6.5% - 7.0% ] 6.74% | 91,946 | 22.9% |
[ 7.0% - 7.5% ] 7.25% | 21,930 | 20.5% |
[ 7.5% - 8.0% ] 7.82% | 16,516 | 20.9% |
[ 8.0% - 8.5% ] 8.26% | 50,495 | 19.9% |
[ 8.5% - 9.0% ] 8.65% | 34,839 | 20.4% |
[ 9.0% - 9.5% ] 9.12% | 13,602 | 4.4% |
[ 9.5% - 10.0% ] 9.73% | 15,771 | 17.6% |
[ 10.0% - 10.5% ] 10.26% | 24,067 | 30.0% |
[ 10.5% - 11.0% ] 10.81% | 34,706 | 10.9% |
[ 11.5% - 12.0% ] 11.68% | 21,687 | 12.2% |
[ 12.0% - 12.5% ] 12.43% | 12,274 | 23.7% |
[ 13.0% - 13.5% ] 13.23% | 11,382 | 22.0% |
[ 13.5% - 14.0% ] 13.95% | 803 | 41.8% |
[ 14.0% - 14.5% ] 14.47% | 3,828 | 9.6% |
[ 14.5% - 15.0% ] 14.79% | 3,610 | 29.5% |
[ 15.5% - 16.0% ] 15.69% | 427 | 62.7% |
[ 16.0% - 16.5% ] 16.30% | 2,289 | 6.6% |
[ 16.5% - 17.0% ] 16.94% | 8,859 | 21.5% |
[ 17.0% - 17.5% ] 17.04% | 1,455 | 4.4% |
[ 17.5% - 18.0% ] 17.65% | 663 | 44.6% |
[ 18.0% - 18.5% ] 18.13% | 6,917 | 18.4% |
[ 18.5% - 19.0% ] 18.61% | 704 | 15.0% |
[ 20.0% - 20.5% ] 20.04% | 1,622 | 38.9% |
[ 20.5% - 21.0% ] 20.66% | 847 | 11.1% |
[ 21.0% - 21.5% ] 21.15% | 468 | 28.2% |
[ 21.5% - 22.0% ] 21.69% | 4,699 | 46.9% |
[ 22.0% - 22.5% ] 22.31% | 4,576 | 17.1% |
[ 23.5% - 24.0% ] 23.92% | 1,522 | 9.4% |
[ 24.5% - 25.0% ] 24.71% | 3,419 | 46.7% |
[ 25.0% - 25.5% ] 25.24% | 5,376 | 24.1% |
[ 25.5% - 26.0% ] 25.83% | 302 | 13.3% |
[ 26.0% - 26.5% ] 26.07% | 560 | 37.1% |
[ 29.5% - 30.0% ] 29.92% | 1,514 | 7.1% |
[ 31.0% - 31.5% ] 31.12% | 1,417 | 17.7% |
[ 32.0% - 32.5% ] 32.06% | 499 | 4.5% |
[ 32.5% - 33.0% ] 32.54% | 16,090 | 20.8% |
[ 34.0% - 34.5% ] 34.24% | 2,030 | 29.2% |
[ 39.5% - 40.0% ] 39.66% | 2,335 | 22.7% |