Immigrants from Western Asia Child Poverty Among Girls Under 16
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Immigrants from Western Asia
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Child Poverty Among Girls Under 16
Immigrants from Western Asia Child Poverty Among Girls Under 16
16.6%
POVERTY | GIRLS < 16
44.1/ 100
METRIC RATING
177th/ 347
METRIC RANK
Immigrants from Western Asia Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 396,058,338 people shows a significant positive correlation between the proportion of Immigrants from Western Asia and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.626 and weighted average of 16.6%. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is an increase of 0.83% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Western Asia 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 Western Asia 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 Western Asia 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 Western Asia by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Western Asia are White/Caucasian (16.6%, a difference of 0.060%), Hawaiian (16.6%, a difference of 0.080%), Immigrants from Syria (16.6%, a difference of 0.090%), Hungarian (16.6%, a difference of 0.11%), and Immigrants from Iraq (16.6%, a difference of 0.11%).
Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
Immigrants from Venezuela | 64.2 /100 | #170 | Good 16.2% |
Immigrants from Saudi Arabia | 64.0 /100 | #171 | Good 16.2% |
Afghans | 62.3 /100 | #172 | Good 16.2% |
Immigrants from South America | 55.1 /100 | #173 | Average 16.4% |
Ethiopians | 50.0 /100 | #174 | Average 16.5% |
Lebanese | 45.4 /100 | #175 | Average 16.6% |
Hungarians | 45.1 /100 | #176 | Average 16.6% |
Immigrants from Western Asia | 44.1 /100 | #177 | Average 16.6% |
Whites/Caucasians | 43.6 /100 | #178 | Average 16.6% |
Hawaiians | 43.4 /100 | #179 | Average 16.6% |
Immigrants from Syria | 43.3 /100 | #180 | Average 16.6% |
Immigrants from Iraq | 43.2 /100 | #181 | Average 16.6% |
Immigrants from Ethiopia | 43.1 /100 | #182 | Average 16.6% |
Immigrants from Portugal | 42.5 /100 | #183 | Average 16.6% |
Scotch-Irish | 39.6 /100 | #184 | Fair 16.7% |
Immigrants from Western Asia Child Poverty Among Girls Under 16 Correlation Summary
Measurement | Immigrants from Western Asia Data | Child Poverty Among Girls Under 16 Data |
Minimum | 0.14% | 4.1% |
Maximum | 35.0% | 47.4% |
Range | 34.9% | 43.3% |
Mean | 10.3% | 19.3% |
Median | 8.5% | 16.1% |
Interquartile 25% (IQ1) | 4.2% | 12.9% |
Interquartile 75% (IQ3) | 14.0% | 26.1% |
Interquartile Range (IQR) | 9.7% | 13.1% |
Standard Deviation (Sample) | 7.8% | 10.3% |
Standard Deviation (Population) | 7.7% | 10.2% |
Correlation Details
Immigrants from Western Asia Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.14% | 200,185,843 | 17.6% |
[ 0.0% - 0.5% ] 0.45% | 100,059,123 | 15.6% |
[ 0.5% - 1.0% ] 0.78% | 44,253,171 | 15.8% |
[ 1.0% - 1.5% ] 1.07% | 19,008,349 | 15.1% |
[ 1.0% - 1.5% ] 1.38% | 8,943,781 | 12.2% |
[ 1.5% - 2.0% ] 1.76% | 9,742,192 | 16.8% |
[ 2.0% - 2.5% ] 2.01% | 3,367,371 | 12.9% |
[ 2.0% - 2.5% ] 2.32% | 2,197,264 | 14.2% |
[ 2.5% - 3.0% ] 2.61% | 1,427,647 | 12.4% |
[ 2.5% - 3.0% ] 2.94% | 1,369,008 | 13.8% |
[ 3.0% - 3.5% ] 3.29% | 839,798 | 15.5% |
[ 3.5% - 4.0% ] 3.56% | 580,765 | 13.9% |
[ 3.5% - 4.0% ] 3.89% | 279,516 | 18.0% |
[ 4.0% - 4.5% ] 4.25% | 489,191 | 11.0% |
[ 4.5% - 5.0% ] 4.53% | 265,192 | 14.5% |
[ 4.5% - 5.0% ] 4.81% | 167,187 | 13.4% |
[ 5.0% - 5.5% ] 5.09% | 275,164 | 26.3% |
[ 5.0% - 5.5% ] 5.43% | 97,843 | 8.7% |
[ 5.5% - 6.0% ] 5.77% | 267,562 | 26.4% |
[ 6.0% - 6.5% ] 6.08% | 187,917 | 14.5% |
[ 6.0% - 6.5% ] 6.44% | 119,227 | 14.3% |
[ 6.5% - 7.0% ] 6.60% | 149,357 | 10.1% |
[ 6.5% - 7.0% ] 6.95% | 100,920 | 19.3% |
[ 7.0% - 7.5% ] 7.35% | 102,180 | 20.7% |
[ 7.5% - 8.0% ] 7.54% | 74,447 | 11.0% |
[ 7.5% - 8.0% ] 7.82% | 27,479 | 7.6% |
[ 8.0% - 8.5% ] 8.17% | 87,848 | 22.5% |
[ 8.0% - 8.5% ] 8.49% | 9,960 | 31.0% |
[ 9.0% - 9.5% ] 9.06% | 49,028 | 21.8% |
[ 9.5% - 10.0% ] 9.92% | 1,975 | 5.8% |
[ 10.0% - 10.5% ] 10.23% | 52,786 | 23.8% |
[ 10.0% - 10.5% ] 10.49% | 11,091 | 8.8% |
[ 10.5% - 11.0% ] 10.77% | 22,430 | 4.1% |
[ 11.0% - 11.5% ] 11.14% | 45,937 | 11.0% |
[ 11.0% - 11.5% ] 11.36% | 61,447 | 10.4% |
[ 12.0% - 12.5% ] 12.00% | 21,587 | 15.7% |
[ 12.0% - 12.5% ] 12.23% | 33,804 | 4.8% |
[ 12.5% - 13.0% ] 12.83% | 34,921 | 15.4% |
[ 13.0% - 13.5% ] 13.24% | 43,863 | 47.1% |
[ 13.0% - 13.5% ] 13.42% | 59,775 | 18.8% |
[ 13.5% - 14.0% ] 13.84% | 105,721 | 26.5% |
[ 13.5% - 14.0% ] 13.99% | 18,445 | 20.2% |
[ 14.5% - 15.0% ] 14.53% | 146,149 | 16.1% |
[ 15.5% - 16.0% ] 15.62% | 16,679 | 26.1% |
[ 16.0% - 16.5% ] 16.05% | 62,474 | 31.4% |
[ 17.0% - 17.5% ] 17.18% | 194,512 | 16.7% |
[ 17.5% - 18.0% ] 17.59% | 50,005 | 36.5% |
[ 18.5% - 19.0% ] 18.92% | 32,294 | 16.5% |
[ 18.5% - 19.0% ] 18.99% | 22,831 | 16.6% |
[ 21.5% - 22.0% ] 21.57% | 40,392 | 31.6% |
[ 23.0% - 23.5% ] 23.38% | 151,646 | 30.4% |
[ 23.5% - 24.0% ] 23.81% | 5,526 | 47.4% |
[ 25.5% - 26.0% ] 25.87% | 35,755 | 27.6% |
[ 29.5% - 30.0% ] 29.76% | 8,919 | 44.1% |
[ 35.0% - 35.5% ] 35.02% | 53,044 | 42.8% |