Immigrants from Western Asia Female Poverty
COMPARE
Immigrants from Western Asia
Select to Compare
Female Poverty
Immigrants from Western Asia Female Poverty
13.9%
POVERTY | FEMALES
20.7/ 100
METRIC RATING
203rd/ 347
METRIC RANK
Immigrants from Western Asia Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 404,121,163 people shows a substantial positive correlation between the proportion of Immigrants from Western Asia and poverty level among females in the United States with a correlation coefficient (R) of 0.596 and weighted average of 13.9%. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is an increase of 0.58% in poverty level among females.
It is essential to understand that the correlation between the percentage of Immigrants from Western Asia and poverty level among females 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 females 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 females due to other factors.
Demographics Similar to Immigrants from Western Asia by Female Poverty
In terms of female poverty, the demographic groups most similar to Immigrants from Western Asia are Hmong (13.9%, a difference of 0.050%), Immigrants from Kenya (13.9%, a difference of 0.060%), Spanish (13.9%, a difference of 0.10%), Spaniard (13.9%, a difference of 0.27%), and Immigrants from Lebanon (13.8%, a difference of 0.65%).
| Demographics | Rating | Rank | Female Poverty |
| South American Indians | 28.9 /100 | #196 | Fair 13.7% |
| Arabs | 28.6 /100 | #197 | Fair 13.7% |
| Immigrants from Uganda | 28.5 /100 | #198 | Fair 13.7% |
| Immigrants from Lebanon | 25.6 /100 | #199 | Fair 13.8% |
| Spanish | 21.4 /100 | #200 | Fair 13.9% |
| Immigrants from Kenya | 21.1 /100 | #201 | Fair 13.9% |
| Hmong | 21.1 /100 | #202 | Fair 13.9% |
| Immigrants from Western Asia | 20.7 /100 | #203 | Fair 13.9% |
| Spaniards | 18.9 /100 | #204 | Poor 13.9% |
| Ugandans | 15.4 /100 | #205 | Poor 14.0% |
| Immigrants from Uruguay | 14.0 /100 | #206 | Poor 14.0% |
| Immigrants from Eastern Africa | 9.0 /100 | #207 | Tragic 14.2% |
| Immigrants from the Azores | 7.9 /100 | #208 | Tragic 14.2% |
| Panamanians | 7.7 /100 | #209 | Tragic 14.2% |
| Malaysians | 7.4 /100 | #210 | Tragic 14.3% |
Immigrants from Western Asia Female Poverty Correlation Summary
| Measurement | Immigrants from Western Asia Data | Female Poverty Data |
| Minimum | 0.14% | 6.3% |
| Maximum | 35.0% | 44.7% |
| Range | 34.9% | 38.4% |
| Mean | 10.6% | 16.2% |
| Median | 8.8% | 13.5% |
| Interquartile 25% (IQ1) | 4.4% | 11.5% |
| Interquartile 75% (IQ3) | 14.3% | 19.0% |
| Interquartile Range (IQR) | 9.9% | 7.6% |
| Standard Deviation (Sample) | 8.0% | 7.8% |
| Standard Deviation (Population) | 8.0% | 7.8% |
Correlation Details
| Immigrants from Western Asia Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.14% | 203,273,103 | 14.1% |
[ 0.0% - 0.5% ] 0.45% | 101,996,653 | 13.3% |
[ 0.5% - 1.0% ] 0.78% | 45,282,486 | 13.5% |
[ 1.0% - 1.5% ] 1.07% | 19,618,997 | 13.1% |
[ 1.0% - 1.5% ] 1.38% | 9,332,813 | 11.5% |
[ 1.5% - 2.0% ] 1.76% | 10,002,467 | 13.9% |
[ 2.0% - 2.5% ] 2.01% | 3,569,828 | 12.1% |
[ 2.0% - 2.5% ] 2.32% | 2,353,632 | 13.5% |
[ 2.5% - 3.0% ] 2.61% | 1,514,545 | 10.2% |
[ 2.5% - 3.0% ] 2.94% | 1,422,670 | 11.4% |
[ 3.0% - 3.5% ] 3.28% | 934,294 | 13.0% |
[ 3.5% - 4.0% ] 3.56% | 591,412 | 12.5% |
[ 3.5% - 4.0% ] 3.89% | 301,158 | 13.4% |
[ 4.0% - 4.5% ] 4.25% | 496,917 | 11.2% |
[ 4.5% - 5.0% ] 4.54% | 285,910 | 13.2% |
[ 4.5% - 5.0% ] 4.81% | 171,357 | 14.2% |
[ 5.0% - 5.5% ] 5.09% | 307,743 | 18.4% |
[ 5.0% - 5.5% ] 5.43% | 101,188 | 9.7% |
[ 5.5% - 6.0% ] 5.77% | 275,172 | 18.9% |
[ 6.0% - 6.5% ] 6.08% | 188,356 | 11.1% |
[ 6.0% - 6.5% ] 6.44% | 120,665 | 13.1% |
[ 6.5% - 7.0% ] 6.60% | 149,357 | 8.6% |
[ 6.5% - 7.0% ] 6.95% | 101,986 | 12.4% |
[ 7.0% - 7.5% ] 7.35% | 102,180 | 15.0% |
[ 7.5% - 8.0% ] 7.54% | 74,447 | 10.7% |
[ 7.5% - 8.0% ] 7.84% | 40,299 | 8.0% |
[ 8.0% - 8.5% ] 8.17% | 87,848 | 15.9% |
[ 8.0% - 8.5% ] 8.48% | 11,326 | 13.3% |
[ 8.5% - 9.0% ] 8.77% | 25,278 | 33.0% |
[ 9.0% - 9.5% ] 9.06% | 49,028 | 19.2% |
[ 9.5% - 10.0% ] 9.89% | 4,682 | 15.5% |
[ 10.0% - 10.5% ] 10.23% | 52,786 | 19.2% |
[ 10.0% - 10.5% ] 10.48% | 11,399 | 6.7% |
[ 10.5% - 11.0% ] 10.77% | 22,430 | 6.3% |
[ 11.0% - 11.5% ] 11.14% | 45,937 | 9.8% |
[ 11.0% - 11.5% ] 11.36% | 61,447 | 10.4% |
[ 12.0% - 12.5% ] 12.00% | 21,587 | 12.1% |
[ 12.0% - 12.5% ] 12.23% | 33,804 | 6.3% |
[ 12.5% - 13.0% ] 12.83% | 34,921 | 11.3% |
[ 13.0% - 13.5% ] 13.24% | 43,863 | 37.7% |
[ 13.0% - 13.5% ] 13.42% | 59,775 | 15.9% |
[ 13.5% - 14.0% ] 13.84% | 105,950 | 19.4% |
[ 13.5% - 14.0% ] 13.99% | 18,445 | 17.1% |
[ 14.5% - 15.0% ] 14.53% | 146,149 | 11.8% |
[ 15.5% - 16.0% ] 15.62% | 17,165 | 16.4% |
[ 16.0% - 16.5% ] 16.05% | 62,474 | 23.4% |
[ 17.0% - 17.5% ] 17.18% | 194,512 | 14.4% |
[ 17.5% - 18.0% ] 17.59% | 50,005 | 28.6% |
[ 18.5% - 19.0% ] 18.92% | 32,294 | 14.2% |
[ 18.5% - 19.0% ] 18.99% | 22,831 | 14.0% |
[ 21.5% - 22.0% ] 21.57% | 40,392 | 22.6% |
[ 23.0% - 23.5% ] 23.38% | 151,646 | 21.7% |
[ 23.5% - 24.0% ] 23.81% | 5,526 | 44.7% |
[ 25.5% - 26.0% ] 25.87% | 35,755 | 21.9% |
[ 29.0% - 29.5% ] 29.03% | 310 | 21.4% |
[ 29.5% - 30.0% ] 29.76% | 8,919 | 32.4% |
[ 35.0% - 35.5% ] 35.02% | 53,044 | 35.0% |