Immigrants from Western Asia Female Poverty Among 18-24 Year Olds
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Immigrants from Western Asia
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Female Poverty Among 18-24 Year Olds
Immigrants from Western Asia Female Poverty Among 18-24 Year Olds
20.3%
POVERTY | FEMALES 18-24
29.3/ 100
METRIC RATING
190th/ 347
METRIC RANK
Immigrants from Western Asia Female Poverty Among 18-24 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 393,908,099 people shows a mild positive correlation between the proportion of Immigrants from Western Asia and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.357 and weighted average of 20.3%. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is an increase of 0.41% in poverty level among females between the ages 18 and 24.
It is essential to understand that the correlation between the percentage of Immigrants from Western Asia and poverty level among females between the ages 18 and 24 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 between the ages 18 and 24 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 between the ages 18 and 24 due to other factors.
Demographics Similar to Immigrants from Western Asia by Female Poverty Among 18-24 Year Olds
In terms of female poverty among 18-24 year olds, the demographic groups most similar to Immigrants from Western Asia are Moroccan (20.4%, a difference of 0.21%), Immigrants from Germany (20.3%, a difference of 0.27%), Scandinavian (20.3%, a difference of 0.30%), Immigrants from Israel (20.4%, a difference of 0.30%), and Nigerian (20.4%, a difference of 0.37%).
| Demographics | Rating | Rank | Female Poverty Among 18-24 Year Olds |
| Lebanese | 40.6 /100 | #183 | Average 20.2% |
| Immigrants from Central America | 39.9 /100 | #184 | Fair 20.2% |
| Nepalese | 39.7 /100 | #185 | Fair 20.2% |
| Immigrants from Ethiopia | 37.3 /100 | #186 | Fair 20.2% |
| Immigrants from Mexico | 36.3 /100 | #187 | Fair 20.2% |
| Scandinavians | 34.6 /100 | #188 | Fair 20.3% |
| Immigrants from Germany | 34.0 /100 | #189 | Fair 20.3% |
| Immigrants from Western Asia | 29.3 /100 | #190 | Fair 20.3% |
| Moroccans | 25.8 /100 | #191 | Fair 20.4% |
| Immigrants from Israel | 24.4 /100 | #192 | Fair 20.4% |
| Nigerians | 23.4 /100 | #193 | Fair 20.4% |
| Mexican American Indians | 23.2 /100 | #194 | Fair 20.4% |
| Immigrants from Latvia | 23.0 /100 | #195 | Fair 20.4% |
| Czechs | 22.3 /100 | #196 | Fair 20.4% |
| Zimbabweans | 21.0 /100 | #197 | Fair 20.4% |
Immigrants from Western Asia Female Poverty Among 18-24 Year Olds Correlation Summary
| Measurement | Immigrants from Western Asia Data | Female Poverty Among 18-24 Year Olds Data |
| Minimum | 0.14% | 1.3% |
| Maximum | 35.0% | 46.0% |
| Range | 34.9% | 44.8% |
| Mean | 10.0% | 19.1% |
| Median | 8.5% | 17.6% |
| Interquartile 25% (IQ1) | 4.3% | 14.8% |
| Interquartile 75% (IQ3) | 13.8% | 21.4% |
| Interquartile Range (IQR) | 9.6% | 6.7% |
| Standard Deviation (Sample) | 7.6% | 8.7% |
| Standard Deviation (Population) | 7.5% | 8.6% |
Correlation Details
| Immigrants from Western Asia Percentile | Sample Size | Female Poverty Among 18-24 Year Olds |
[ 0.0% - 0.5% ] 0.14% | 198,762,922 | 19.8% |
[ 0.0% - 0.5% ] 0.45% | 99,440,303 | 20.9% |
[ 0.5% - 1.0% ] 0.78% | 43,962,955 | 20.5% |
[ 1.0% - 1.5% ] 1.07% | 19,031,306 | 20.8% |
[ 1.0% - 1.5% ] 1.38% | 9,048,758 | 20.0% |
[ 1.5% - 2.0% ] 1.76% | 9,798,146 | 20.4% |
[ 2.0% - 2.5% ] 2.01% | 3,412,113 | 21.4% |
[ 2.0% - 2.5% ] 2.32% | 2,169,777 | 24.3% |
[ 2.5% - 3.0% ] 2.61% | 1,400,577 | 16.0% |
[ 2.5% - 3.0% ] 2.94% | 1,349,873 | 15.5% |
[ 3.0% - 3.5% ] 3.28% | 894,089 | 17.5% |
[ 3.5% - 4.0% ] 3.55% | 510,743 | 22.3% |
[ 3.5% - 4.0% ] 3.89% | 286,951 | 17.8% |
[ 4.0% - 4.5% ] 4.25% | 476,664 | 17.5% |
[ 4.5% - 5.0% ] 4.54% | 277,102 | 17.3% |
[ 4.5% - 5.0% ] 4.81% | 165,270 | 23.2% |
[ 5.0% - 5.5% ] 5.09% | 297,857 | 16.9% |
[ 5.0% - 5.5% ] 5.43% | 101,095 | 21.2% |
[ 5.5% - 6.0% ] 5.77% | 264,564 | 19.9% |
[ 6.0% - 6.5% ] 6.08% | 187,053 | 14.5% |
[ 6.0% - 6.5% ] 6.44% | 120,103 | 17.6% |
[ 6.5% - 7.0% ] 6.60% | 147,485 | 11.3% |
[ 6.5% - 7.0% ] 6.95% | 100,764 | 15.6% |
[ 7.0% - 7.5% ] 7.35% | 102,180 | 18.1% |
[ 7.5% - 8.0% ] 7.54% | 74,265 | 12.5% |
[ 7.5% - 8.0% ] 7.82% | 29,446 | 13.8% |
[ 8.0% - 8.5% ] 8.17% | 87,848 | 17.2% |
[ 8.0% - 8.5% ] 8.48% | 11,326 | 18.5% |
[ 8.5% - 9.0% ] 8.77% | 25,278 | 8.5% |
[ 9.0% - 9.5% ] 9.05% | 43,552 | 22.6% |
[ 9.5% - 10.0% ] 9.88% | 2,278 | 39.7% |
[ 10.0% - 10.5% ] 10.23% | 52,786 | 15.0% |
[ 10.0% - 10.5% ] 10.49% | 11,091 | 4.3% |
[ 10.5% - 11.0% ] 10.77% | 22,430 | 13.2% |
[ 11.0% - 11.5% ] 11.14% | 45,937 | 13.9% |
[ 11.0% - 11.5% ] 11.36% | 61,447 | 13.9% |
[ 12.0% - 12.5% ] 12.00% | 21,587 | 17.2% |
[ 12.0% - 12.5% ] 12.23% | 33,174 | 1.3% |
[ 12.5% - 13.0% ] 12.83% | 34,921 | 8.0% |
[ 13.0% - 13.5% ] 13.25% | 43,213 | 39.4% |
[ 13.0% - 13.5% ] 13.42% | 59,775 | 16.2% |
[ 13.5% - 14.0% ] 13.84% | 105,950 | 18.4% |
[ 13.5% - 14.0% ] 13.99% | 18,445 | 7.1% |
[ 14.5% - 15.0% ] 14.53% | 146,149 | 9.7% |
[ 15.5% - 16.0% ] 15.62% | 16,679 | 17.9% |
[ 16.0% - 16.5% ] 16.05% | 62,474 | 28.3% |
[ 17.0% - 17.5% ] 17.18% | 194,512 | 16.6% |
[ 17.5% - 18.0% ] 17.59% | 50,005 | 34.8% |
[ 18.5% - 19.0% ] 18.92% | 32,294 | 21.5% |
[ 18.5% - 19.0% ] 18.99% | 22,831 | 15.5% |
[ 21.5% - 22.0% ] 21.57% | 40,392 | 24.4% |
[ 23.0% - 23.5% ] 23.38% | 151,646 | 28.7% |
[ 25.5% - 26.0% ] 25.87% | 35,755 | 14.8% |
[ 29.5% - 30.0% ] 29.76% | 8,919 | 46.0% |
[ 35.0% - 35.5% ] 35.02% | 53,044 | 42.8% |