Scottish Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
Scottish Child Poverty Among Boys Under 16
15.2%
POVERTY | BOYS < 16
93.0/ 100
METRIC RATING
121st/ 347
METRIC RANK
Scottish Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 546,371,305 people shows a strong positive correlation between the proportion of Scottish and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.785 and weighted average of 15.2%. On average, for every 1% (one percent) increase in Scottish within a typical geography, there is an increase of 1.6% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Scottish 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 Scottish influences an upward or downward trend in the level of poverty level among boys 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 boys under the age of 16 due to other factors.
Demographics Similar to Scottish by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Scottish are South African (15.2%, a difference of 0.010%), Belgian (15.2%, a difference of 0.060%), Immigrants from Malaysia (15.3%, a difference of 0.10%), Native Hawaiian (15.2%, a difference of 0.18%), and Immigrants from Vietnam (15.2%, a difference of 0.24%).
| Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
| Immigrants from Ukraine | 93.6 /100 | #114 | Exceptional 15.2% |
| Armenians | 93.6 /100 | #115 | Exceptional 15.2% |
| Immigrants from South Eastern Asia | 93.5 /100 | #116 | Exceptional 15.2% |
| Immigrants from Vietnam | 93.5 /100 | #117 | Exceptional 15.2% |
| Native Hawaiians | 93.4 /100 | #118 | Exceptional 15.2% |
| Belgians | 93.1 /100 | #119 | Exceptional 15.2% |
| South Africans | 93.0 /100 | #120 | Exceptional 15.2% |
| Scottish | 93.0 /100 | #121 | Exceptional 15.2% |
| Immigrants from Malaysia | 92.8 /100 | #122 | Exceptional 15.3% |
| Immigrants from Norway | 92.3 /100 | #123 | Exceptional 15.3% |
| Tlingit-Haida | 92.2 /100 | #124 | Exceptional 15.3% |
| Czechoslovakians | 92.1 /100 | #125 | Exceptional 15.3% |
| Palestinians | 91.3 /100 | #126 | Exceptional 15.4% |
| Carpatho Rusyns | 91.1 /100 | #127 | Exceptional 15.4% |
| Canadians | 90.6 /100 | #128 | Exceptional 15.4% |
Scottish Child Poverty Among Boys Under 16 Correlation Summary
| Measurement | Scottish Data | Child Poverty Among Boys Under 16 Data |
| Minimum | 0.27% | 5.0% |
| Maximum | 58.0% | 100.0% |
| Range | 57.8% | 95.0% |
| Mean | 18.9% | 37.8% |
| Median | 15.9% | 24.3% |
| Interquartile 25% (IQ1) | 7.8% | 16.0% |
| Interquartile 75% (IQ3) | 24.2% | 55.6% |
| Interquartile Range (IQR) | 16.5% | 39.5% |
| Standard Deviation (Sample) | 14.6% | 29.2% |
| Standard Deviation (Population) | 14.5% | 29.0% |
Correlation Details
| Scottish Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.27% | 93,074,720 | 24.1% |
[ 0.5% - 1.0% ] 0.76% | 105,279,413 | 19.8% |
[ 1.0% - 1.5% ] 1.26% | 105,240,698 | 17.8% |
[ 1.5% - 2.0% ] 1.73% | 91,616,168 | 15.0% |
[ 2.0% - 2.5% ] 2.23% | 62,475,922 | 13.5% |
[ 2.5% - 3.0% ] 2.74% | 40,033,907 | 13.0% |
[ 3.0% - 3.5% ] 3.23% | 20,652,914 | 12.6% |
[ 3.5% - 4.0% ] 3.71% | 11,703,200 | 12.1% |
[ 4.0% - 4.5% ] 4.21% | 6,989,343 | 12.8% |
[ 4.5% - 5.0% ] 4.72% | 3,463,727 | 12.6% |
[ 5.0% - 5.5% ] 5.21% | 2,126,655 | 12.6% |
[ 5.5% - 6.0% ] 5.70% | 1,228,502 | 15.0% |
[ 6.0% - 6.5% ] 6.22% | 683,044 | 17.6% |
[ 6.5% - 7.0% ] 6.72% | 459,519 | 16.2% |
[ 7.0% - 7.5% ] 7.24% | 343,593 | 14.0% |
[ 7.5% - 8.0% ] 7.75% | 188,545 | 21.2% |
[ 8.0% - 8.5% ] 8.23% | 228,598 | 14.3% |
[ 8.5% - 9.0% ] 8.77% | 121,195 | 16.2% |
[ 9.0% - 9.5% ] 9.25% | 86,191 | 17.3% |
[ 9.5% - 10.0% ] 9.71% | 61,036 | 17.9% |
[ 10.0% - 10.5% ] 10.22% | 40,520 | 27.3% |
[ 10.5% - 11.0% ] 10.71% | 65,530 | 18.8% |
[ 11.0% - 11.5% ] 11.19% | 48,265 | 29.3% |
[ 11.5% - 12.0% ] 11.68% | 24,321 | 24.3% |
[ 12.0% - 12.5% ] 12.18% | 33,399 | 16.0% |
[ 12.5% - 13.0% ] 12.69% | 25,413 | 19.6% |
[ 13.0% - 13.5% ] 13.20% | 11,409 | 20.6% |
[ 13.5% - 14.0% ] 13.76% | 7,644 | 32.7% |
[ 14.0% - 14.5% ] 14.19% | 8,825 | 34.9% |
[ 14.5% - 15.0% ] 14.81% | 8,493 | 38.5% |
[ 15.0% - 15.5% ] 15.37% | 3,519 | 27.8% |
[ 15.5% - 16.0% ] 15.93% | 7,262 | 26.9% |
[ 16.0% - 16.5% ] 16.32% | 1,618 | 23.4% |
[ 16.5% - 17.0% ] 16.59% | 223 | 10.5% |
[ 17.0% - 17.5% ] 17.29% | 1,758 | 12.4% |
[ 17.5% - 18.0% ] 17.77% | 591 | 18.4% |
[ 18.0% - 18.5% ] 18.16% | 1,613 | 49.0% |
[ 18.5% - 19.0% ] 18.74% | 4,493 | 5.0% |
[ 19.0% - 19.5% ] 19.28% | 804 | 65.6% |
[ 19.5% - 20.0% ] 19.76% | 4,969 | 24.8% |
[ 20.0% - 20.5% ] 20.16% | 878 | 60.4% |
[ 20.5% - 21.0% ] 20.73% | 4,785 | 41.1% |
[ 21.5% - 22.0% ] 21.62% | 874 | 37.7% |
[ 22.0% - 22.5% ] 22.25% | 409 | 61.9% |
[ 22.5% - 23.0% ] 22.99% | 174 | 55.6% |
[ 23.0% - 23.5% ] 23.02% | 443 | 100.0% |
[ 23.5% - 24.0% ] 23.80% | 1,059 | 34.4% |
[ 24.0% - 24.5% ] 24.22% | 161 | 50.0% |
[ 27.0% - 27.5% ] 27.27% | 176 | 100.0% |
[ 28.5% - 29.0% ] 28.74% | 167 | 52.2% |
[ 31.0% - 31.5% ] 31.34% | 1,101 | 73.8% |
[ 31.5% - 32.0% ] 31.78% | 214 | 61.3% |
[ 34.5% - 35.0% ] 34.84% | 442 | 13.4% |
[ 36.0% - 36.5% ] 36.21% | 116 | 63.6% |
[ 38.0% - 38.5% ] 38.17% | 241 | 24.3% |
[ 41.0% - 41.5% ] 41.01% | 278 | 100.0% |
[ 42.5% - 43.0% ] 42.58% | 357 | 100.0% |
[ 43.0% - 43.5% ] 43.10% | 174 | 100.0% |
[ 44.5% - 45.0% ] 44.92% | 492 | 100.0% |
[ 47.5% - 48.0% ] 47.83% | 46 | 50.0% |
[ 51.0% - 51.5% ] 51.38% | 654 | 60.8% |
[ 57.0% - 57.5% ] 57.40% | 331 | 100.0% |
[ 58.0% - 58.5% ] 58.05% | 174 | 100.0% |