Immigrants from Western Asia Female Poverty Among 25-34 Year Olds
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Immigrants from Western Asia
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Female Poverty Among 25-34 Year Olds
Immigrants from Western Asia Female Poverty Among 25-34 Year Olds
12.8%
POVERTY | FEMALES 25-34
92.7/ 100
METRIC RATING
122nd/ 347
METRIC RANK
Immigrants from Western Asia Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 397,039,286 people shows a weak positive correlation between the proportion of Immigrants from Western Asia and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.210 and weighted average of 12.8%. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is an increase of 0.14% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Immigrants from Western Asia and poverty level among females between the ages 25 and 34 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 25 and 34 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 25 and 34 due to other factors.
Demographics Similar to Immigrants from Western Asia by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Immigrants from Western Asia are Romanian (12.8%, a difference of 0.020%), Slovene (12.8%, a difference of 0.020%), Carpatho Rusyn (12.8%, a difference of 0.080%), Immigrants from Nepal (12.8%, a difference of 0.090%), and Mongolian (12.8%, a difference of 0.10%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Immigrants from Brazil | 93.3 /100 | #115 | Exceptional 12.8% |
| Chileans | 93.2 /100 | #116 | Exceptional 12.8% |
| Immigrants from Kuwait | 93.1 /100 | #117 | Exceptional 12.8% |
| Mongolians | 93.0 /100 | #118 | Exceptional 12.8% |
| Immigrants from Nepal | 93.0 /100 | #119 | Exceptional 12.8% |
| Carpatho Rusyns | 93.0 /100 | #120 | Exceptional 12.8% |
| Romanians | 92.8 /100 | #121 | Exceptional 12.8% |
| Immigrants from Western Asia | 92.7 /100 | #122 | Exceptional 12.8% |
| Slovenes | 92.7 /100 | #123 | Exceptional 12.8% |
| Immigrants from Netherlands | 92.0 /100 | #124 | Exceptional 12.8% |
| Immigrants from Canada | 91.5 /100 | #125 | Exceptional 12.9% |
| Immigrants from Fiji | 91.2 /100 | #126 | Exceptional 12.9% |
| Czechs | 90.3 /100 | #127 | Exceptional 12.9% |
| Syrians | 90.2 /100 | #128 | Exceptional 12.9% |
| Immigrants from North America | 89.7 /100 | #129 | Excellent 12.9% |
Immigrants from Western Asia Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Immigrants from Western Asia Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.14% | 2.9% |
| Maximum | 35.0% | 33.5% |
| Range | 34.9% | 30.6% |
| Mean | 10.0% | 12.8% |
| Median | 8.5% | 12.6% |
| Interquartile 25% (IQ1) | 4.2% | 10.1% |
| Interquartile 75% (IQ3) | 13.8% | 14.6% |
| Interquartile Range (IQR) | 9.6% | 4.5% |
| Standard Deviation (Sample) | 7.6% | 5.0% |
| Standard Deviation (Population) | 7.5% | 4.9% |
Correlation Details
| Immigrants from Western Asia Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.14% | 200,198,120 | 14.6% |
[ 0.0% - 0.5% ] 0.45% | 100,313,876 | 12.6% |
[ 0.5% - 1.0% ] 0.78% | 44,520,180 | 12.4% |
[ 1.0% - 1.5% ] 1.07% | 19,082,296 | 12.5% |
[ 1.0% - 1.5% ] 1.38% | 9,082,131 | 11.2% |
[ 1.5% - 2.0% ] 1.76% | 9,810,986 | 12.6% |
[ 2.0% - 2.5% ] 2.01% | 3,443,342 | 11.3% |
[ 2.0% - 2.5% ] 2.32% | 2,214,339 | 12.8% |
[ 2.5% - 3.0% ] 2.61% | 1,477,923 | 11.1% |
[ 2.5% - 3.0% ] 2.94% | 1,353,775 | 12.6% |
[ 3.0% - 3.5% ] 3.29% | 890,360 | 13.3% |
[ 3.5% - 4.0% ] 3.56% | 540,223 | 13.0% |
[ 3.5% - 4.0% ] 3.89% | 288,518 | 12.7% |
[ 4.0% - 4.5% ] 4.25% | 490,360 | 9.6% |
[ 4.5% - 5.0% ] 4.54% | 281,087 | 10.6% |
[ 4.5% - 5.0% ] 4.81% | 167,187 | 11.6% |
[ 5.0% - 5.5% ] 5.09% | 279,314 | 16.2% |
[ 5.0% - 5.5% ] 5.43% | 101,095 | 7.2% |
[ 5.5% - 6.0% ] 5.77% | 264,138 | 17.7% |
[ 6.0% - 6.5% ] 6.09% | 184,600 | 6.5% |
[ 6.0% - 6.5% ] 6.44% | 118,665 | 8.5% |
[ 6.5% - 7.0% ] 6.60% | 147,485 | 8.6% |
[ 6.5% - 7.0% ] 6.95% | 101,830 | 10.1% |
[ 7.0% - 7.5% ] 7.35% | 102,180 | 12.3% |
[ 7.5% - 8.0% ] 7.54% | 74,265 | 8.1% |
[ 7.5% - 8.0% ] 7.82% | 27,479 | 10.4% |
[ 8.0% - 8.5% ] 8.17% | 87,848 | 13.8% |
[ 8.0% - 8.5% ] 8.49% | 9,960 | 2.9% |
[ 8.5% - 9.0% ] 8.77% | 25,278 | 24.5% |
[ 9.0% - 9.5% ] 9.06% | 49,028 | 16.8% |
[ 9.5% - 10.0% ] 9.84% | 630 | 16.0% |
[ 10.0% - 10.5% ] 10.23% | 52,786 | 15.5% |
[ 10.0% - 10.5% ] 10.48% | 11,399 | 10.4% |
[ 10.5% - 11.0% ] 10.77% | 22,430 | 5.9% |
[ 11.0% - 11.5% ] 11.14% | 45,937 | 10.1% |
[ 11.0% - 11.5% ] 11.37% | 46,070 | 11.4% |
[ 12.0% - 12.5% ] 12.00% | 21,587 | 12.8% |
[ 12.0% - 12.5% ] 12.23% | 33,804 | 5.6% |
[ 12.5% - 13.0% ] 12.83% | 34,921 | 18.1% |
[ 13.0% - 13.5% ] 13.25% | 43,213 | 33.5% |
[ 13.0% - 13.5% ] 13.42% | 59,775 | 14.7% |
[ 13.5% - 14.0% ] 13.84% | 105,721 | 16.1% |
[ 13.5% - 14.0% ] 13.99% | 18,445 | 9.3% |
[ 14.5% - 15.0% ] 14.53% | 146,149 | 13.8% |
[ 15.5% - 16.0% ] 15.62% | 16,679 | 10.1% |
[ 16.0% - 16.5% ] 16.05% | 62,474 | 14.6% |
[ 17.0% - 17.5% ] 17.18% | 194,512 | 9.9% |
[ 17.5% - 18.0% ] 17.59% | 50,005 | 22.4% |
[ 18.5% - 19.0% ] 18.92% | 32,294 | 13.1% |
[ 18.5% - 19.0% ] 18.99% | 22,831 | 5.8% |
[ 21.5% - 22.0% ] 21.57% | 40,392 | 13.1% |
[ 23.0% - 23.5% ] 23.38% | 151,646 | 16.4% |
[ 25.5% - 26.0% ] 25.87% | 35,755 | 10.5% |
[ 29.5% - 30.0% ] 29.76% | 8,919 | 13.5% |
[ 35.0% - 35.5% ] 35.02% | 53,044 | 21.5% |