Immigrants from Belarus Child Poverty Under the Age of 16
COMPARE
Immigrants from Belarus
Select to Compare
Child Poverty Under the Age of 16
Immigrants from Belarus Child Poverty Under the Age of 16
14.7%
POVERTY | CHILDREN < 16
83.3/ 100
METRIC RATING
84th/ 347
METRIC RANK
Immigrants from Belarus Child Poverty Under the Age of 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 147,763,961 people shows a strong positive correlation between the proportion of Immigrants from Belarus and poverty level among children under the age of 16 in the United States with a correlation coefficient (R) of 0.708 and weighted average of 14.7%. On average, for every 1% (one percent) increase in Immigrants from Belarus within a typical geography, there is an increase of 3.4% in poverty level among children under the age of 16.

It is essential to understand that the correlation between the percentage of Immigrants from Belarus and poverty level among children 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 children 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 children under the age of 16 due to other factors.
Demographics Similar to Immigrants from Belarus by Child Poverty Under the Age of 16
In terms of child poverty under the age of 16, the demographic groups most similar to Immigrants from Belarus are British (14.7%, a difference of 0.13%), Argentinean (14.8%, a difference of 0.44%), Carpatho Rusyn (14.8%, a difference of 0.46%), Swiss (14.8%, a difference of 0.55%), and Serbian (14.8%, a difference of 0.72%).
Demographics | Rating | Rank | Child Poverty Under the Age of 16 |
Immigrants from North Macedonia | 84.2 /100 | #77 | Excellent 14.5% |
Australians | 84.2 /100 | #78 | Excellent 14.5% |
Paraguayans | 84.0 /100 | #79 | Excellent 14.6% |
Immigrants from Eastern Europe | 84.0 /100 | #80 | Excellent 14.6% |
Europeans | 83.9 /100 | #81 | Excellent 14.6% |
Immigrants from Belgium | 83.8 /100 | #82 | Excellent 14.6% |
Indonesians | 83.8 /100 | #83 | Excellent 14.6% |
Immigrants from Belarus | 83.3 /100 | #84 | Excellent 14.7% |
British | 83.2 /100 | #85 | Excellent 14.7% |
Argentineans | 83.0 /100 | #86 | Excellent 14.8% |
Carpatho Rusyns | 83.0 /100 | #87 | Excellent 14.8% |
Swiss | 82.9 /100 | #88 | Excellent 14.8% |
Serbians | 82.8 /100 | #89 | Excellent 14.8% |
Germans | 82.8 /100 | #90 | Excellent 14.8% |
Immigrants from Egypt | 82.7 /100 | #91 | Excellent 14.8% |
Immigrants from Belarus Child Poverty Under the Age of 16 Correlation Summary
Measurement | Immigrants from Belarus Data | Child Poverty Under the Age of 16 Data |
Minimum | 0.015% | 2.2% |
Maximum | 24.1% | 100.0% |
Range | 24.1% | 97.8% |
Mean | 1.7% | 16.6% |
Median | 1.1% | 12.9% |
Interquartile 25% (IQ1) | 0.53% | 8.0% |
Interquartile 75% (IQ3) | 1.7% | 19.5% |
Interquartile Range (IQR) | 1.2% | 11.5% |
Standard Deviation (Sample) | 3.1% | 14.7% |
Standard Deviation (Population) | 3.1% | 14.6% |
Correlation Details
Immigrants from Belarus Percentile | Sample Size | Child Poverty Under the Age of 16 |
[ 0.0% - 0.5% ] 0.015% | 67,461,147 | 19.4% |
[ 0.0% - 0.5% ] 0.049% | 31,793,733 | 15.2% |
[ 0.0% - 0.5% ] 0.082% | 11,444,018 | 11.8% |
[ 0.0% - 0.5% ] 0.11% | 8,834,942 | 15.8% |
[ 0.0% - 0.5% ] 0.16% | 13,695,922 | 18.9% |
[ 0.0% - 0.5% ] 0.18% | 2,942,316 | 10.5% |
[ 0.0% - 0.5% ] 0.22% | 2,082,156 | 10.7% |
[ 0.0% - 0.5% ] 0.25% | 1,828,096 | 11.7% |
[ 0.0% - 0.5% ] 0.28% | 1,237,475 | 10.5% |
[ 0.0% - 0.5% ] 0.32% | 1,061,398 | 10.2% |
[ 0.0% - 0.5% ] 0.35% | 600,392 | 10.1% |
[ 0.0% - 0.5% ] 0.38% | 543,923 | 13.1% |
[ 0.0% - 0.5% ] 0.42% | 368,432 | 10.6% |
[ 0.0% - 0.5% ] 0.45% | 373,964 | 13.1% |
[ 0.0% - 0.5% ] 0.48% | 351,978 | 12.9% |
[ 0.5% - 1.0% ] 0.52% | 289,555 | 11.2% |
[ 0.5% - 1.0% ] 0.55% | 131,484 | 15.4% |
[ 0.5% - 1.0% ] 0.58% | 98,972 | 8.1% |
[ 0.5% - 1.0% ] 0.61% | 401,657 | 12.9% |
[ 0.5% - 1.0% ] 0.65% | 213,196 | 11.8% |
[ 0.5% - 1.0% ] 0.67% | 30,700 | 20.9% |
[ 0.5% - 1.0% ] 0.72% | 219,182 | 15.1% |
[ 0.5% - 1.0% ] 0.76% | 81,363 | 35.4% |
[ 0.5% - 1.0% ] 0.77% | 67,460 | 7.6% |
[ 0.5% - 1.0% ] 0.82% | 125,836 | 4.5% |
[ 0.5% - 1.0% ] 0.84% | 7,528 | 33.4% |
[ 0.5% - 1.0% ] 0.88% | 52,906 | 10.5% |
[ 0.5% - 1.0% ] 0.92% | 68,876 | 4.8% |
[ 0.5% - 1.0% ] 0.95% | 31,766 | 19.6% |
[ 0.5% - 1.0% ] 0.98% | 132,602 | 5.4% |
[ 1.0% - 1.5% ] 1.00% | 49,785 | 3.2% |
[ 1.0% - 1.5% ] 1.05% | 52,016 | 8.1% |
[ 1.0% - 1.5% ] 1.09% | 33,806 | 5.1% |
[ 1.0% - 1.5% ] 1.12% | 32,751 | 7.9% |
[ 1.0% - 1.5% ] 1.16% | 38,151 | 16.6% |
[ 1.0% - 1.5% ] 1.19% | 72,564 | 19.4% |
[ 1.0% - 1.5% ] 1.24% | 563 | 7.0% |
[ 1.0% - 1.5% ] 1.32% | 180,055 | 16.7% |
[ 1.0% - 1.5% ] 1.36% | 1,250 | 4.3% |
[ 1.0% - 1.5% ] 1.38% | 184,108 | 10.9% |
[ 1.0% - 1.5% ] 1.41% | 2,061 | 4.8% |
[ 1.0% - 1.5% ] 1.44% | 2,016 | 4.8% |
[ 1.0% - 1.5% ] 1.49% | 39,665 | 16.8% |
[ 1.5% - 2.0% ] 1.52% | 134,630 | 21.0% |
[ 1.5% - 2.0% ] 1.55% | 3,216 | 18.5% |
[ 1.5% - 2.0% ] 1.57% | 5,978 | 10.4% |
[ 1.5% - 2.0% ] 1.62% | 2,834 | 37.4% |
[ 1.5% - 2.0% ] 1.63% | 3,185 | 35.6% |
[ 1.5% - 2.0% ] 1.69% | 413 | 25.8% |
[ 1.5% - 2.0% ] 1.71% | 89,084 | 22.4% |
[ 1.5% - 2.0% ] 1.78% | 90,561 | 5.8% |
[ 1.5% - 2.0% ] 1.84% | 54,670 | 31.4% |
[ 1.5% - 2.0% ] 1.89% | 2,651 | 38.3% |
[ 2.0% - 2.5% ] 2.00% | 11,073 | 2.2% |
[ 2.0% - 2.5% ] 2.09% | 3,594 | 20.7% |
[ 2.0% - 2.5% ] 2.23% | 1,123 | 51.6% |
[ 2.0% - 2.5% ] 2.30% | 1,956 | 7.6% |
[ 2.5% - 3.0% ] 2.50% | 1,877 | 8.3% |
[ 2.5% - 3.0% ] 2.84% | 8,098 | 5.2% |
[ 2.5% - 3.0% ] 2.96% | 84,859 | 16.0% |
[ 3.5% - 4.0% ] 3.61% | 360 | 35.7% |
[ 3.5% - 4.0% ] 3.87% | 723 | 15.9% |
[ 5.5% - 6.0% ] 5.84% | 411 | 2.9% |
[ 6.5% - 7.0% ] 6.66% | 841 | 29.2% |
[ 24.0% - 24.5% ] 24.14% | 58 | 100.0% |