Immigrants from Belarus Child Poverty Among Girls Under 16
COMPARE
Immigrants from Belarus
Select to Compare
Child Poverty Among Girls Under 16
Immigrants from Belarus Child Poverty Among Girls Under 16
14.8%
POVERTY | GIRLS < 16
97.0/ 100
METRIC RATING
91st/ 347
METRIC RANK
Immigrants from Belarus Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 148,734,264 people shows a poor positive correlation between the proportion of Immigrants from Belarus and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.149 and weighted average of 14.8%. On average, for every 1% (one percent) increase in Immigrants from Belarus within a typical geography, there is an increase of 0.97% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Belarus 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 Immigrants from Belarus influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Immigrants from Belarus 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 Immigrants from Belarus by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Belarus are Northern European (14.8%, a difference of 0.040%), Jordanian (14.8%, a difference of 0.060%), Immigrants from Canada (14.8%, a difference of 0.11%), Finnish (14.8%, a difference of 0.18%), and Australian (14.8%, a difference of 0.20%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Soviet Union | 97.3 /100 | #84 | Exceptional 14.8% |
| Swiss | 97.2 /100 | #85 | Exceptional 14.8% |
| Australians | 97.2 /100 | #86 | Exceptional 14.8% |
| Finns | 97.2 /100 | #87 | Exceptional 14.8% |
| Immigrants from Canada | 97.1 /100 | #88 | Exceptional 14.8% |
| Jordanians | 97.1 /100 | #89 | Exceptional 14.8% |
| Northern Europeans | 97.0 /100 | #90 | Exceptional 14.8% |
| Immigrants from Belarus | 97.0 /100 | #91 | Exceptional 14.8% |
| Austrians | 96.7 /100 | #92 | Exceptional 14.9% |
| Immigrants from North America | 96.6 /100 | #93 | Exceptional 14.9% |
| Immigrants from Switzerland | 96.3 /100 | #94 | Exceptional 14.9% |
| Germans | 96.3 /100 | #95 | Exceptional 14.9% |
| Immigrants from France | 96.2 /100 | #96 | Exceptional 14.9% |
| Immigrants from Latvia | 96.1 /100 | #97 | Exceptional 14.9% |
| Basques | 95.9 /100 | #98 | Exceptional 15.0% |
Immigrants from Belarus Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Immigrants from Belarus Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.017% | 2.0% |
| Maximum | 7.5% | 43.9% |
| Range | 7.4% | 41.9% |
| Mean | 1.4% | 14.5% |
| Median | 1.1% | 13.7% |
| Interquartile 25% (IQ1) | 0.56% | 8.5% |
| Interquartile 75% (IQ3) | 1.7% | 18.5% |
| Interquartile Range (IQR) | 1.2% | 9.9% |
| Standard Deviation (Sample) | 1.3% | 8.4% |
| Standard Deviation (Population) | 1.3% | 8.3% |
Correlation Details
| Immigrants from Belarus Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.017% | 73,428,841 | 18.6% |
[ 0.0% - 0.5% ] 0.051% | 29,848,505 | 14.9% |
[ 0.0% - 0.5% ] 0.092% | 12,938,443 | 13.7% |
[ 0.0% - 0.5% ] 0.13% | 6,942,887 | 11.6% |
[ 0.0% - 0.5% ] 0.17% | 12,738,793 | 19.0% |
[ 0.0% - 0.5% ] 0.20% | 2,510,558 | 10.9% |
[ 0.0% - 0.5% ] 0.24% | 1,800,712 | 10.7% |
[ 0.0% - 0.5% ] 0.28% | 1,499,846 | 8.4% |
[ 0.0% - 0.5% ] 0.31% | 1,259,714 | 13.6% |
[ 0.0% - 0.5% ] 0.36% | 838,483 | 8.9% |
[ 0.0% - 0.5% ] 0.39% | 643,525 | 9.7% |
[ 0.0% - 0.5% ] 0.43% | 461,200 | 13.9% |
[ 0.0% - 0.5% ] 0.46% | 565,729 | 11.5% |
[ 0.5% - 1.0% ] 0.50% | 279,473 | 12.8% |
[ 0.5% - 1.0% ] 0.55% | 372,797 | 12.3% |
[ 0.5% - 1.0% ] 0.58% | 235,515 | 19.1% |
[ 0.5% - 1.0% ] 0.61% | 177,376 | 14.8% |
[ 0.5% - 1.0% ] 0.65% | 62,850 | 13.1% |
[ 0.5% - 1.0% ] 0.69% | 153,695 | 14.8% |
[ 0.5% - 1.0% ] 0.72% | 259,378 | 16.1% |
[ 0.5% - 1.0% ] 0.77% | 28,245 | 5.9% |
[ 0.5% - 1.0% ] 0.79% | 110,397 | 5.6% |
[ 0.5% - 1.0% ] 0.84% | 32,683 | 14.5% |
[ 0.5% - 1.0% ] 0.87% | 110,930 | 18.9% |
[ 0.5% - 1.0% ] 0.91% | 93,359 | 8.1% |
[ 0.5% - 1.0% ] 0.94% | 55,084 | 5.0% |
[ 0.5% - 1.0% ] 0.98% | 106,421 | 16.0% |
[ 1.0% - 1.5% ] 1.03% | 45,851 | 17.2% |
[ 1.0% - 1.5% ] 1.05% | 29,810 | 15.5% |
[ 1.0% - 1.5% ] 1.09% | 102,293 | 3.2% |
[ 1.0% - 1.5% ] 1.12% | 16,808 | 17.4% |
[ 1.0% - 1.5% ] 1.18% | 8,356 | 21.7% |
[ 1.0% - 1.5% ] 1.23% | 40,324 | 18.3% |
[ 1.0% - 1.5% ] 1.29% | 84,999 | 19.0% |
[ 1.0% - 1.5% ] 1.31% | 201,732 | 13.5% |
[ 1.0% - 1.5% ] 1.36% | 30,821 | 6.9% |
[ 1.0% - 1.5% ] 1.39% | 77,576 | 2.5% |
[ 1.0% - 1.5% ] 1.42% | 1,123 | 4.1% |
[ 1.0% - 1.5% ] 1.46% | 1,232 | 2.0% |
[ 1.0% - 1.5% ] 1.50% | 1,135 | 11.4% |
[ 1.5% - 2.0% ] 1.54% | 41,127 | 16.8% |
[ 1.5% - 2.0% ] 1.59% | 130,592 | 22.4% |
[ 1.5% - 2.0% ] 1.61% | 6,575 | 13.2% |
[ 1.5% - 2.0% ] 1.65% | 80,113 | 29.3% |
[ 1.5% - 2.0% ] 1.71% | 4,689 | 8.6% |
[ 1.5% - 2.0% ] 1.75% | 23,676 | 26.0% |
[ 1.5% - 2.0% ] 1.82% | 2,967 | 29.7% |
[ 1.5% - 2.0% ] 1.87% | 1,121 | 43.9% |
[ 1.5% - 2.0% ] 1.93% | 85,801 | 5.4% |
[ 1.5% - 2.0% ] 1.97% | 11,513 | 5.0% |
[ 2.0% - 2.5% ] 2.08% | 5,379 | 27.5% |
[ 2.0% - 2.5% ] 2.13% | 1,975 | 5.8% |
[ 2.0% - 2.5% ] 2.32% | 1,379 | 4.2% |
[ 2.0% - 2.5% ] 2.45% | 1,224 | 24.3% |
[ 2.0% - 2.5% ] 2.50% | 47,893 | 38.5% |
[ 3.0% - 3.5% ] 3.04% | 83,069 | 16.1% |
[ 3.0% - 3.5% ] 3.33% | 5,518 | 16.7% |
[ 3.5% - 4.0% ] 3.86% | 984 | 11.9% |
[ 5.5% - 6.0% ] 5.73% | 419 | 4.9% |
[ 7.0% - 7.5% ] 7.46% | 751 | 23.3% |