Immigrants from Northern Africa Child Poverty Among Girls Under 16
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Immigrants from Northern Africa
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Child Poverty Among Girls Under 16
Immigrants from Northern Africa Child Poverty Among Girls Under 16
16.0%
POVERTY | GIRLS < 16
72.0/ 100
METRIC RATING
161st/ 347
METRIC RANK
Immigrants from Northern Africa Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 316,657,809 people shows a significant positive correlation between the proportion of Immigrants from Northern Africa and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.692 and weighted average of 16.0%. On average, for every 1% (one percent) increase in Immigrants from Northern Africa within a typical geography, there is an increase of 3.6% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Northern Africa 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 Northern Africa 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 Northern Africa 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 Northern Africa by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Northern Africa are French (16.0%, a difference of 0.11%), French Canadian (16.1%, a difference of 0.47%), Slovak (15.9%, a difference of 0.49%), Guamanian/Chamorro (15.9%, a difference of 0.50%), and Immigrants from Oceania (16.1%, a difference of 0.52%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Immigrants from Chile | 76.7 /100 | #154 | Good 15.9% |
| Syrians | 76.7 /100 | #155 | Good 15.9% |
| Immigrants from Fiji | 76.1 /100 | #156 | Good 15.9% |
| Colombians | 76.1 /100 | #157 | Good 15.9% |
| Guamanians/Chamorros | 75.3 /100 | #158 | Good 15.9% |
| Slovaks | 75.2 /100 | #159 | Good 15.9% |
| French | 72.8 /100 | #160 | Good 16.0% |
| Immigrants from Northern Africa | 72.0 /100 | #161 | Good 16.0% |
| French Canadians | 68.7 /100 | #162 | Good 16.1% |
| Immigrants from Oceania | 68.4 /100 | #163 | Good 16.1% |
| Immigrants from Colombia | 67.8 /100 | #164 | Good 16.1% |
| Immigrants from Germany | 67.3 /100 | #165 | Good 16.1% |
| South Americans | 67.2 /100 | #166 | Good 16.1% |
| Uruguayans | 64.7 /100 | #167 | Good 16.2% |
| Yugoslavians | 64.4 /100 | #168 | Good 16.2% |
Immigrants from Northern Africa Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Immigrants from Northern Africa Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.084% | 6.2% |
| Maximum | 14.5% | 78.6% |
| Range | 14.4% | 72.3% |
| Mean | 4.3% | 22.9% |
| Median | 3.7% | 16.8% |
| Interquartile 25% (IQ1) | 1.9% | 12.8% |
| Interquartile 75% (IQ3) | 6.1% | 24.4% |
| Interquartile Range (IQR) | 4.3% | 11.6% |
| Standard Deviation (Sample) | 3.3% | 16.9% |
| Standard Deviation (Population) | 3.2% | 16.7% |
Correlation Details
| Immigrants from Northern Africa Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.084% | 201,541,000 | 16.9% |
[ 0.0% - 0.5% ] 0.27% | 60,373,272 | 16.1% |
[ 0.0% - 0.5% ] 0.46% | 28,057,657 | 16.8% |
[ 0.5% - 1.0% ] 0.67% | 10,606,259 | 13.0% |
[ 0.5% - 1.0% ] 0.88% | 4,847,255 | 13.0% |
[ 1.0% - 1.5% ] 1.09% | 3,935,599 | 16.1% |
[ 1.0% - 1.5% ] 1.26% | 2,308,080 | 14.6% |
[ 1.0% - 1.5% ] 1.48% | 1,312,179 | 14.8% |
[ 1.5% - 2.0% ] 1.64% | 744,204 | 14.3% |
[ 1.5% - 2.0% ] 1.86% | 898,242 | 12.9% |
[ 2.0% - 2.5% ] 2.09% | 216,788 | 12.8% |
[ 2.0% - 2.5% ] 2.24% | 408,319 | 12.4% |
[ 2.0% - 2.5% ] 2.43% | 153,372 | 22.1% |
[ 2.5% - 3.0% ] 2.69% | 163,405 | 12.8% |
[ 2.5% - 3.0% ] 2.81% | 381,912 | 24.4% |
[ 3.0% - 3.5% ] 3.03% | 55,093 | 27.8% |
[ 3.0% - 3.5% ] 3.28% | 54,148 | 8.4% |
[ 3.0% - 3.5% ] 3.34% | 1,975 | 19.3% |
[ 3.5% - 4.0% ] 3.59% | 20,058 | 40.0% |
[ 3.5% - 4.0% ] 3.80% | 21,420 | 23.2% |
[ 4.0% - 4.5% ] 4.23% | 41,043 | 12.0% |
[ 4.0% - 4.5% ] 4.41% | 12,424 | 7.0% |
[ 4.5% - 5.0% ] 4.56% | 33,627 | 12.2% |
[ 4.5% - 5.0% ] 4.95% | 37,514 | 20.0% |
[ 5.0% - 5.5% ] 5.24% | 215,122 | 21.4% |
[ 5.0% - 5.5% ] 5.41% | 3,162 | 7.7% |
[ 5.5% - 6.0% ] 5.53% | 51,695 | 31.7% |
[ 5.5% - 6.0% ] 5.81% | 2,031 | 20.9% |
[ 6.0% - 6.5% ] 6.12% | 1,798 | 12.1% |
[ 6.0% - 6.5% ] 6.32% | 140,994 | 18.7% |
[ 6.5% - 7.0% ] 6.58% | 5,000 | 41.1% |
[ 6.5% - 7.0% ] 6.76% | 148 | 50.0% |
[ 6.5% - 7.0% ] 6.99% | 143 | 50.0% |
[ 7.5% - 8.0% ] 7.90% | 6,938 | 6.2% |
[ 8.5% - 9.0% ] 8.81% | 1,339 | 18.0% |
[ 10.0% - 10.5% ] 10.12% | 1,206 | 37.2% |
[ 11.5% - 12.0% ] 11.78% | 3,056 | 74.6% |
[ 14.0% - 14.5% ] 14.46% | 332 | 78.6% |