Immigrants from Belgium Child Poverty Among Girls Under 16
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Immigrants from Belgium
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Child Poverty Among Girls Under 16
Immigrants from Belgium Child Poverty Among Girls Under 16
14.5%
POVERTY | GIRLS < 16
98.5/ 100
METRIC RATING
66th/ 347
METRIC RANK
Immigrants from Belgium Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 145,025,757 people shows a strong positive correlation between the proportion of Immigrants from Belgium and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.708 and weighted average of 14.5%. On average, for every 1% (one percent) increase in Immigrants from Belgium within a typical geography, there is an increase of 5.3% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Belgium 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 Belgium 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 Belgium 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 Belgium by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Belgium are Immigrants from Sweden (14.5%, a difference of 0.16%), Immigrants from Philippines (14.4%, a difference of 0.19%), Immigrants from Europe (14.4%, a difference of 0.30%), Scandinavian (14.4%, a difference of 0.35%), and Laotian (14.5%, a difference of 0.41%).
Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
Zimbabweans | 98.8 /100 | #59 | Exceptional 14.4% |
Poles | 98.7 /100 | #60 | Exceptional 14.4% |
Cambodians | 98.7 /100 | #61 | Exceptional 14.4% |
Scandinavians | 98.7 /100 | #62 | Exceptional 14.4% |
Immigrants from Europe | 98.7 /100 | #63 | Exceptional 14.4% |
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% |
Immigrants from Belgium Child Poverty Among Girls Under 16 Correlation Summary
Measurement | Immigrants from Belgium Data | Child Poverty Among Girls Under 16 Data |
Minimum | 0.016% | 2.3% |
Maximum | 14.4% | 100.0% |
Range | 14.3% | 97.7% |
Mean | 1.5% | 19.4% |
Median | 0.90% | 14.3% |
Interquartile 25% (IQ1) | 0.45% | 11.6% |
Interquartile 75% (IQ3) | 1.6% | 20.4% |
Interquartile Range (IQR) | 1.1% | 8.8% |
Standard Deviation (Sample) | 2.3% | 17.1% |
Standard Deviation (Population) | 2.3% | 17.0% |
Correlation Details
Immigrants from Belgium Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.016% | 108,418,700 | 19.1% |
[ 0.0% - 0.5% ] 0.055% | 19,501,333 | 12.8% |
[ 0.0% - 0.5% ] 0.096% | 7,528,930 | 12.4% |
[ 0.0% - 0.5% ] 0.13% | 3,301,744 | 11.6% |
[ 0.0% - 0.5% ] 0.17% | 2,520,281 | 12.8% |
[ 0.0% - 0.5% ] 0.21% | 1,035,344 | 9.6% |
[ 0.0% - 0.5% ] 0.25% | 551,459 | 14.8% |
[ 0.0% - 0.5% ] 0.29% | 558,126 | 12.4% |
[ 0.0% - 0.5% ] 0.33% | 369,872 | 12.6% |
[ 0.0% - 0.5% ] 0.37% | 200,119 | 11.8% |
[ 0.0% - 0.5% ] 0.40% | 267,374 | 14.3% |
[ 0.0% - 0.5% ] 0.45% | 136,203 | 12.2% |
[ 0.0% - 0.5% ] 0.48% | 63,352 | 17.5% |
[ 0.5% - 1.0% ] 0.53% | 111,784 | 6.4% |
[ 0.5% - 1.0% ] 0.56% | 129,110 | 13.1% |
[ 0.5% - 1.0% ] 0.60% | 53,904 | 10.6% |
[ 0.5% - 1.0% ] 0.64% | 26,492 | 15.8% |
[ 0.5% - 1.0% ] 0.67% | 19,728 | 14.3% |
[ 0.5% - 1.0% ] 0.72% | 11,884 | 18.3% |
[ 0.5% - 1.0% ] 0.76% | 20,362 | 11.6% |
[ 0.5% - 1.0% ] 0.80% | 12,085 | 18.6% |
[ 0.5% - 1.0% ] 0.82% | 20,612 | 4.9% |
[ 0.5% - 1.0% ] 0.87% | 90,325 | 7.6% |
[ 0.5% - 1.0% ] 0.93% | 1,821 | 3.2% |
[ 1.0% - 1.5% ] 1.01% | 493 | 16.2% |
[ 1.0% - 1.5% ] 1.06% | 26,591 | 9.6% |
[ 1.0% - 1.5% ] 1.11% | 2,622 | 29.6% |
[ 1.0% - 1.5% ] 1.16% | 1,719 | 20.2% |
[ 1.0% - 1.5% ] 1.20% | 2,000 | 26.9% |
[ 1.0% - 1.5% ] 1.23% | 488 | 20.4% |
[ 1.0% - 1.5% ] 1.26% | 2,782 | 42.3% |
[ 1.0% - 1.5% ] 1.33% | 1,584 | 11.1% |
[ 1.0% - 1.5% ] 1.47% | 8,659 | 17.1% |
[ 1.5% - 2.0% ] 1.54% | 4,811 | 29.1% |
[ 1.5% - 2.0% ] 1.58% | 1,263 | 70.9% |
[ 1.5% - 2.0% ] 1.80% | 1,112 | 35.4% |
[ 1.5% - 2.0% ] 1.84% | 2,115 | 3.8% |
[ 1.5% - 2.0% ] 1.87% | 642 | 12.2% |
[ 2.0% - 2.5% ] 2.14% | 9,012 | 2.3% |
[ 2.0% - 2.5% ] 2.25% | 267 | 14.3% |
[ 2.0% - 2.5% ] 2.35% | 810 | 36.2% |
[ 2.0% - 2.5% ] 2.40% | 4,166 | 21.9% |
[ 2.5% - 3.0% ] 2.63% | 2,890 | 11.9% |
[ 2.5% - 3.0% ] 2.84% | 211 | 37.0% |
[ 7.5% - 8.0% ] 7.78% | 360 | 26.3% |
[ 14.0% - 14.5% ] 14.35% | 216 | 100.0% |