Slovene Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Slovene Child Poverty Among Girls Under 16
14.6%
POVERTY | GIRLS < 16
98.1/ 100
METRIC RATING
71st/ 347
METRIC RANK
Slovene Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 257,332,040 people shows a mild positive correlation between the proportion of Slovenes and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.303 and weighted average of 14.6%. On average, for every 1% (one percent) increase in Slovenes within a typical geography, there is an increase of 0.96% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Slovenes 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 Slovenes influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Slovenes 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 Slovenes by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Slovenes are Immigrants from Netherlands (14.6%, a difference of 0.030%), European (14.6%, a difference of 0.040%), Immigrants from Austria (14.6%, a difference of 0.12%), Taiwanese (14.6%, a difference of 0.15%), and Immigrants from Poland (14.6%, a difference of 0.16%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| 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% |
| Slovenes | 98.1 /100 | #71 | Exceptional 14.6% |
| Immigrants from Netherlands | 98.1 /100 | #72 | Exceptional 14.6% |
| Immigrants from Austria | 98.0 /100 | #73 | Exceptional 14.6% |
| Taiwanese | 98.0 /100 | #74 | Exceptional 14.6% |
| Immigrants from Eastern Europe | 98.0 /100 | #75 | Exceptional 14.6% |
| Immigrants from Russia | 97.9 /100 | #76 | Exceptional 14.7% |
| Tlingit-Haida | 97.9 /100 | #77 | Exceptional 14.7% |
| Argentineans | 97.9 /100 | #78 | Exceptional 14.7% |
Slovene Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Slovene Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.049% | 1.5% |
| Maximum | 21.2% | 60.0% |
| Range | 21.1% | 58.5% |
| Mean | 4.6% | 17.2% |
| Median | 4.0% | 13.6% |
| Interquartile 25% (IQ1) | 2.0% | 9.5% |
| Interquartile 75% (IQ3) | 6.2% | 19.9% |
| Interquartile Range (IQR) | 4.2% | 10.4% |
| Standard Deviation (Sample) | 3.8% | 11.9% |
| Standard Deviation (Population) | 3.7% | 11.8% |
Correlation Details
| Slovene Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.049% | 224,485,227 | 16.4% |
[ 0.0% - 0.5% ] 0.23% | 18,592,649 | 12.9% |
[ 0.0% - 0.5% ] 0.40% | 5,559,903 | 13.4% |
[ 0.5% - 1.0% ] 0.58% | 2,859,410 | 18.0% |
[ 0.5% - 1.0% ] 0.74% | 1,665,459 | 15.6% |
[ 0.5% - 1.0% ] 0.90% | 1,128,682 | 12.0% |
[ 1.0% - 1.5% ] 1.10% | 374,305 | 12.0% |
[ 1.0% - 1.5% ] 1.25% | 709,804 | 13.9% |
[ 1.0% - 1.5% ] 1.43% | 373,434 | 10.0% |
[ 1.5% - 2.0% ] 1.56% | 175,621 | 12.8% |
[ 1.5% - 2.0% ] 1.74% | 248,125 | 14.8% |
[ 1.5% - 2.0% ] 1.92% | 106,359 | 16.1% |
[ 2.0% - 2.5% ] 2.05% | 198,437 | 7.6% |
[ 2.0% - 2.5% ] 2.21% | 51,949 | 22.4% |
[ 2.0% - 2.5% ] 2.40% | 80,919 | 26.9% |
[ 2.5% - 3.0% ] 2.58% | 35,203 | 13.4% |
[ 2.5% - 3.0% ] 2.75% | 46,884 | 18.3% |
[ 2.5% - 3.0% ] 2.90% | 38,482 | 11.6% |
[ 3.0% - 3.5% ] 3.09% | 53,128 | 29.5% |
[ 3.0% - 3.5% ] 3.22% | 10,395 | 30.8% |
[ 3.0% - 3.5% ] 3.37% | 23,121 | 15.1% |
[ 3.5% - 4.0% ] 3.54% | 71,072 | 16.7% |
[ 3.5% - 4.0% ] 3.81% | 13,416 | 8.8% |
[ 3.5% - 4.0% ] 3.86% | 5,440 | 33.1% |
[ 4.0% - 4.5% ] 4.05% | 2,768 | 38.0% |
[ 4.0% - 4.5% ] 4.18% | 3,685 | 27.8% |
[ 4.0% - 4.5% ] 4.40% | 10,420 | 8.9% |
[ 4.5% - 5.0% ] 4.54% | 8,660 | 20.3% |
[ 4.5% - 5.0% ] 4.73% | 21,068 | 5.2% |
[ 4.5% - 5.0% ] 4.87% | 61,500 | 8.3% |
[ 5.0% - 5.5% ] 5.05% | 61,975 | 9.3% |
[ 5.0% - 5.5% ] 5.25% | 82,312 | 9.7% |
[ 5.5% - 6.0% ] 5.54% | 1,102 | 19.5% |
[ 5.5% - 6.0% ] 5.83% | 3,500 | 26.7% |
[ 5.5% - 6.0% ] 5.93% | 38,004 | 7.5% |
[ 6.0% - 6.5% ] 6.12% | 2,125 | 8.9% |
[ 6.0% - 6.5% ] 6.20% | 3,112 | 11.5% |
[ 6.5% - 7.0% ] 6.76% | 38,259 | 8.0% |
[ 7.0% - 7.5% ] 7.11% | 830 | 38.5% |
[ 7.0% - 7.5% ] 7.17% | 37,812 | 4.4% |
[ 7.0% - 7.5% ] 7.35% | 272 | 53.6% |
[ 8.0% - 8.5% ] 8.27% | 12,661 | 4.6% |
[ 8.5% - 9.0% ] 8.67% | 9,972 | 15.7% |
[ 9.0% - 9.5% ] 9.40% | 17,138 | 11.3% |
[ 9.5% - 10.0% ] 9.93% | 1,340 | 12.0% |
[ 10.5% - 11.0% ] 10.70% | 5,297 | 1.5% |
[ 11.0% - 11.5% ] 11.14% | 700 | 14.3% |
[ 21.0% - 21.5% ] 21.15% | 104 | 60.0% |