Eastern European Female Poverty
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Eastern European
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Female Poverty
Eastern European Female Poverty
11.5%
POVERTY | FEMALES
99.7/ 100
METRIC RATING
20th/ 347
METRIC RANK
Eastern European Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 460,773,883 people shows a mild positive correlation between the proportion of Eastern Europeans and poverty level among females in the United States with a correlation coefficient (R) of 0.353 and weighted average of 11.5%. On average, for every 1% (one percent) increase in Eastern Europeans within a typical geography, there is an increase of 0.33% in poverty level among females.
It is essential to understand that the correlation between the percentage of Eastern Europeans and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Eastern Europeans influences an upward or downward trend in the level of poverty level among females within an area, or if Eastern Europeans simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Eastern Europeans by Female Poverty
In terms of female poverty, the demographic groups most similar to Eastern Europeans are Norwegian (11.5%, a difference of 0.23%), Immigrants from Scotland (11.5%, a difference of 0.27%), Bolivian (11.5%, a difference of 0.32%), Immigrants from Bolivia (11.5%, a difference of 0.39%), and Italian (11.6%, a difference of 0.50%).
| Demographics | Rating | Rank | Female Poverty |
| Immigrants from Lithuania | 99.9 /100 | #13 | Exceptional 11.3% |
| Lithuanians | 99.8 /100 | #14 | Exceptional 11.4% |
| Latvians | 99.8 /100 | #15 | Exceptional 11.4% |
| Immigrants from Bolivia | 99.8 /100 | #16 | Exceptional 11.5% |
| Bolivians | 99.8 /100 | #17 | Exceptional 11.5% |
| Immigrants from Scotland | 99.8 /100 | #18 | Exceptional 11.5% |
| Norwegians | 99.8 /100 | #19 | Exceptional 11.5% |
| Eastern Europeans | 99.7 /100 | #20 | Exceptional 11.5% |
| Italians | 99.7 /100 | #21 | Exceptional 11.6% |
| Swedes | 99.7 /100 | #22 | Exceptional 11.6% |
| Burmese | 99.7 /100 | #23 | Exceptional 11.6% |
| Luxembourgers | 99.7 /100 | #24 | Exceptional 11.6% |
| Immigrants from Northern Europe | 99.6 /100 | #25 | Exceptional 11.6% |
| Croatians | 99.6 /100 | #26 | Exceptional 11.6% |
| Iranians | 99.6 /100 | #27 | Exceptional 11.7% |
Eastern European Female Poverty Correlation Summary
| Measurement | Eastern European Data | Female Poverty Data |
| Minimum | 0.14% | 1.4% |
| Maximum | 64.1% | 59.6% |
| Range | 64.0% | 58.2% |
| Mean | 14.6% | 12.7% |
| Median | 10.4% | 8.8% |
| Interquartile 25% (IQ1) | 5.1% | 5.5% |
| Interquartile 75% (IQ3) | 18.6% | 13.4% |
| Interquartile Range (IQR) | 13.5% | 7.9% |
| Standard Deviation (Sample) | 13.4% | 12.4% |
| Standard Deviation (Population) | 13.3% | 12.3% |
Correlation Details
| Eastern European Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.14% | 292,195,212 | 14.5% |
[ 0.0% - 0.5% ] 0.45% | 95,731,212 | 11.9% |
[ 0.5% - 1.0% ] 0.79% | 37,625,504 | 12.2% |
[ 1.0% - 1.5% ] 1.09% | 14,910,355 | 9.8% |
[ 1.0% - 1.5% ] 1.43% | 6,832,703 | 10.6% |
[ 1.5% - 2.0% ] 1.75% | 3,923,047 | 9.6% |
[ 2.0% - 2.5% ] 2.07% | 2,412,008 | 8.8% |
[ 2.0% - 2.5% ] 2.40% | 1,928,203 | 9.1% |
[ 2.5% - 3.0% ] 2.72% | 1,141,488 | 8.2% |
[ 3.0% - 3.5% ] 3.03% | 923,603 | 7.7% |
[ 3.0% - 3.5% ] 3.35% | 494,916 | 6.5% |
[ 3.5% - 4.0% ] 3.68% | 640,679 | 7.1% |
[ 3.5% - 4.0% ] 4.00% | 289,869 | 5.7% |
[ 4.0% - 4.5% ] 4.30% | 523,380 | 9.0% |
[ 4.5% - 5.0% ] 4.67% | 250,451 | 4.3% |
[ 4.5% - 5.0% ] 4.98% | 149,585 | 7.4% |
[ 5.0% - 5.5% ] 5.31% | 213,956 | 6.8% |
[ 5.5% - 6.0% ] 5.50% | 202,946 | 10.5% |
[ 5.5% - 6.0% ] 5.92% | 131,867 | 4.4% |
[ 6.0% - 6.5% ] 6.20% | 27,815 | 7.1% |
[ 6.5% - 7.0% ] 6.57% | 3,030 | 13.8% |
[ 6.5% - 7.0% ] 6.89% | 35,124 | 6.9% |
[ 7.0% - 7.5% ] 7.23% | 28,676 | 7.7% |
[ 7.5% - 8.0% ] 7.60% | 10,394 | 7.6% |
[ 7.5% - 8.0% ] 7.74% | 34,232 | 5.3% |
[ 8.0% - 8.5% ] 8.06% | 24,456 | 3.2% |
[ 8.5% - 9.0% ] 8.57% | 30,778 | 3.4% |
[ 8.5% - 9.0% ] 8.78% | 3,838 | 12.3% |
[ 9.0% - 9.5% ] 9.17% | 14,075 | 5.3% |
[ 9.0% - 9.5% ] 9.37% | 9,179 | 2.8% |
[ 9.5% - 10.0% ] 9.71% | 2,308 | 13.0% |
[ 9.5% - 10.0% ] 9.99% | 3,324 | 9.8% |
[ 10.0% - 10.5% ] 10.41% | 797 | 5.4% |
[ 10.5% - 11.0% ] 10.74% | 2,737 | 9.6% |
[ 11.0% - 11.5% ] 11.04% | 3,967 | 4.8% |
[ 11.5% - 12.0% ] 11.54% | 78 | 14.6% |
[ 11.5% - 12.0% ] 11.66% | 2,855 | 12.5% |
[ 12.0% - 12.5% ] 12.17% | 345 | 13.8% |
[ 12.5% - 13.0% ] 12.56% | 1,417 | 2.5% |
[ 13.5% - 14.0% ] 13.99% | 636 | 18.4% |
[ 14.5% - 15.0% ] 14.81% | 1,350 | 7.3% |
[ 15.5% - 16.0% ] 15.62% | 160 | 41.7% |
[ 15.5% - 16.0% ] 15.88% | 825 | 28.4% |
[ 16.5% - 17.0% ] 16.69% | 599 | 7.8% |
[ 17.0% - 17.5% ] 17.07% | 123 | 29.2% |
[ 17.5% - 18.0% ] 17.61% | 352 | 3.6% |
[ 17.5% - 18.0% ] 17.71% | 96 | 59.6% |
[ 18.0% - 18.5% ] 18.06% | 155 | 21.4% |
[ 18.5% - 19.0% ] 18.55% | 318 | 11.0% |
[ 18.5% - 19.0% ] 18.63% | 2,710 | 8.8% |
[ 20.0% - 20.5% ] 20.04% | 484 | 3.0% |
[ 21.5% - 22.0% ] 21.66% | 1,847 | 1.4% |
[ 25.0% - 25.5% ] 25.20% | 611 | 4.3% |
[ 25.0% - 25.5% ] 25.40% | 126 | 12.2% |
[ 27.5% - 28.0% ] 27.87% | 244 | 37.1% |
[ 29.5% - 30.0% ] 29.81% | 671 | 17.1% |
[ 30.0% - 30.5% ] 30.26% | 998 | 2.9% |
[ 30.5% - 31.0% ] 30.70% | 316 | 4.6% |
[ 33.5% - 34.0% ] 33.90% | 59 | 59.0% |
[ 35.0% - 35.5% ] 35.00% | 20 | 11.1% |
[ 35.0% - 35.5% ] 35.42% | 48 | 8.3% |
[ 44.5% - 45.0% ] 44.84% | 223 | 51.1% |
[ 47.0% - 47.5% ] 47.13% | 87 | 22.6% |
[ 50.0% - 50.5% ] 50.41% | 246 | 20.5% |
[ 64.0% - 64.5% ] 64.12% | 170 | 8.6% |