Scottish Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Scottish Child Poverty Among Girls Under 16
15.4%
POVERTY | GIRLS < 16
91.0/ 100
METRIC RATING
126th/ 347
METRIC RANK
Scottish Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 544,607,690 people shows a strong positive correlation between the proportion of Scottish and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.768 and weighted average of 15.4%. On average, for every 1% (one percent) increase in Scottish within a typical geography, there is an increase of 1.4% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Scottish 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 Scottish influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Scottish 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 Scottish by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Scottish are Peruvian (15.4%, a difference of 0.070%), Immigrants from Norway (15.4%, a difference of 0.070%), Albanian (15.4%, a difference of 0.16%), Carpatho Rusyn (15.3%, a difference of 0.17%), and Immigrants from South Eastern Asia (15.4%, a difference of 0.17%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Immigrants from Zimbabwe | 92.5 /100 | #119 | Exceptional 15.3% |
| Pakistanis | 92.3 /100 | #120 | Exceptional 15.3% |
| English | 92.2 /100 | #121 | Exceptional 15.3% |
| Portuguese | 91.8 /100 | #122 | Exceptional 15.3% |
| Irish | 91.5 /100 | #123 | Exceptional 15.3% |
| Carpatho Rusyns | 91.4 /100 | #124 | Exceptional 15.3% |
| Peruvians | 91.2 /100 | #125 | Exceptional 15.4% |
| Scottish | 91.0 /100 | #126 | Exceptional 15.4% |
| Immigrants from Norway | 90.8 /100 | #127 | Exceptional 15.4% |
| Albanians | 90.5 /100 | #128 | Exceptional 15.4% |
| Immigrants from South Eastern Asia | 90.5 /100 | #129 | Exceptional 15.4% |
| Puget Sound Salish | 90.1 /100 | #130 | Exceptional 15.4% |
| Immigrants from Western Europe | 90.0 /100 | #131 | Exceptional 15.4% |
| Mongolians | 89.7 /100 | #132 | Excellent 15.4% |
| Brazilians | 89.6 /100 | #133 | Excellent 15.4% |
Scottish Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Scottish Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.27% | 2.1% |
| Maximum | 85.0% | 100.0% |
| Range | 84.7% | 97.9% |
| Mean | 19.7% | 38.1% |
| Median | 16.3% | 25.5% |
| Interquartile 25% (IQ1) | 8.0% | 14.8% |
| Interquartile 75% (IQ3) | 25.4% | 52.4% |
| Interquartile Range (IQR) | 17.4% | 37.6% |
| Standard Deviation (Sample) | 16.3% | 30.5% |
| Standard Deviation (Population) | 16.1% | 30.2% |
Correlation Details
| Scottish Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.27% | 93,004,137 | 24.0% |
[ 0.5% - 1.0% ] 0.76% | 104,890,062 | 19.9% |
[ 1.0% - 1.5% ] 1.26% | 104,799,999 | 18.0% |
[ 1.5% - 2.0% ] 1.73% | 91,486,245 | 15.2% |
[ 2.0% - 2.5% ] 2.23% | 62,262,743 | 13.7% |
[ 2.5% - 3.0% ] 2.74% | 39,725,178 | 13.1% |
[ 3.0% - 3.5% ] 3.23% | 20,609,846 | 12.3% |
[ 3.5% - 4.0% ] 3.71% | 11,689,234 | 12.7% |
[ 4.0% - 4.5% ] 4.21% | 6,920,623 | 12.4% |
[ 4.5% - 5.0% ] 4.72% | 3,485,761 | 12.8% |
[ 5.0% - 5.5% ] 5.21% | 2,101,944 | 13.8% |
[ 5.5% - 6.0% ] 5.70% | 1,219,190 | 14.8% |
[ 6.0% - 6.5% ] 6.21% | 690,992 | 14.8% |
[ 6.5% - 7.0% ] 6.71% | 463,057 | 14.6% |
[ 7.0% - 7.5% ] 7.24% | 336,495 | 13.8% |
[ 7.5% - 8.0% ] 7.76% | 189,555 | 20.7% |
[ 8.0% - 8.5% ] 8.24% | 193,863 | 19.6% |
[ 8.5% - 9.0% ] 8.79% | 127,866 | 20.3% |
[ 9.0% - 9.5% ] 9.26% | 61,649 | 23.2% |
[ 9.5% - 10.0% ] 9.70% | 46,598 | 22.8% |
[ 10.0% - 10.5% ] 10.22% | 48,115 | 23.3% |
[ 10.5% - 11.0% ] 10.72% | 56,674 | 15.0% |
[ 11.0% - 11.5% ] 11.19% | 38,916 | 29.1% |
[ 11.5% - 12.0% ] 11.71% | 27,343 | 26.4% |
[ 12.0% - 12.5% ] 12.16% | 33,648 | 13.3% |
[ 12.5% - 13.0% ] 12.71% | 21,219 | 27.0% |
[ 13.0% - 13.5% ] 13.21% | 12,413 | 21.1% |
[ 13.5% - 14.0% ] 13.73% | 7,116 | 23.3% |
[ 14.0% - 14.5% ] 14.19% | 7,836 | 35.9% |
[ 14.5% - 15.0% ] 14.69% | 6,848 | 27.9% |
[ 15.0% - 15.5% ] 15.25% | 4,347 | 26.8% |
[ 15.5% - 16.0% ] 15.94% | 7,547 | 39.0% |
[ 16.0% - 16.5% ] 16.30% | 1,436 | 34.0% |
[ 16.5% - 17.0% ] 16.77% | 972 | 78.2% |
[ 17.0% - 17.5% ] 17.29% | 1,805 | 31.8% |
[ 17.5% - 18.0% ] 17.72% | 491 | 2.1% |
[ 18.0% - 18.5% ] 18.28% | 1,958 | 62.2% |
[ 18.5% - 19.0% ] 18.75% | 5,265 | 7.4% |
[ 19.0% - 19.5% ] 19.25% | 717 | 25.5% |
[ 19.5% - 20.0% ] 19.86% | 2,840 | 23.6% |
[ 20.0% - 20.5% ] 20.15% | 789 | 32.4% |
[ 20.5% - 21.0% ] 20.76% | 4,860 | 21.8% |
[ 21.5% - 22.0% ] 21.62% | 874 | 57.2% |
[ 22.0% - 22.5% ] 22.25% | 409 | 50.0% |
[ 22.5% - 23.0% ] 22.92% | 48 | 40.0% |
[ 23.0% - 23.5% ] 23.16% | 868 | 51.7% |
[ 23.5% - 24.0% ] 23.82% | 936 | 53.1% |
[ 24.0% - 24.5% ] 24.22% | 161 | 100.0% |
[ 25.0% - 25.5% ] 25.13% | 191 | 5.6% |
[ 25.5% - 26.0% ] 25.70% | 1,070 | 64.1% |
[ 26.0% - 26.5% ] 26.15% | 631 | 10.2% |
[ 28.5% - 29.0% ] 28.74% | 167 | 50.0% |
[ 29.0% - 29.5% ] 29.23% | 65 | 100.0% |
[ 31.0% - 31.5% ] 31.34% | 1,101 | 78.7% |
[ 31.5% - 32.0% ] 31.56% | 450 | 37.5% |
[ 34.5% - 35.0% ] 34.84% | 442 | 26.7% |
[ 36.0% - 36.5% ] 36.21% | 116 | 79.2% |
[ 41.0% - 41.5% ] 41.01% | 278 | 10.6% |
[ 42.5% - 43.0% ] 42.58% | 357 | 100.0% |
[ 47.0% - 47.5% ] 47.19% | 89 | 100.0% |
[ 47.5% - 48.0% ] 47.83% | 46 | 100.0% |
[ 51.0% - 51.5% ] 51.38% | 654 | 100.0% |
[ 57.0% - 57.5% ] 57.40% | 331 | 100.0% |
[ 58.0% - 58.5% ] 58.05% | 174 | 100.0% |
[ 85.0% - 85.5% ] 85.00% | 40 | 100.0% |