Immigrants from Eastern Europe Female Unemployment
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Immigrants from Eastern Europe
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Female Unemployment
Immigrants from Eastern Europe Female Unemployment
5.1%
UNEMPLOYMENT | FEMALES
81.5/ 100
METRIC RATING
141st/ 347
METRIC RANK
Immigrants from Eastern Europe Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 471,678,219 people shows a poor positive correlation between the proportion of Immigrants from Eastern Europe and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.113 and weighted average of 5.1%. On average, for every 1% (one percent) increase in Immigrants from Eastern Europe within a typical geography, there is an increase of 0.017% in unemploymnet rate among females.
It is essential to understand that the correlation between the percentage of Immigrants from Eastern Europe and unemploymnet rate among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Eastern Europe influences an upward or downward trend in the level of unemploymnet rate among females within an area, or if Immigrants from Eastern Europe simply ended up residing in those areas with higher or lower levels of unemploymnet rate among females due to other factors.
Demographics Similar to Immigrants from Eastern Europe by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Eastern Europe are Palestinian (5.1%, a difference of 0.080%), Immigrants from Kazakhstan (5.1%, a difference of 0.090%), Immigrants from Jordan (5.1%, a difference of 0.11%), Immigrants from France (5.1%, a difference of 0.12%), and Immigrants from Eastern Asia (5.1%, a difference of 0.16%).
| Demographics | Rating | Rank | Female Unemployment |
| Immigrants from Eritrea | 84.6 /100 | #134 | Excellent 5.1% |
| Immigrants from Latvia | 84.6 /100 | #135 | Excellent 5.1% |
| Indians (Asian) | 84.2 /100 | #136 | Excellent 5.1% |
| Pakistanis | 83.8 /100 | #137 | Excellent 5.1% |
| Chickasaw | 83.2 /100 | #138 | Excellent 5.1% |
| Immigrants from Eastern Asia | 83.0 /100 | #139 | Excellent 5.1% |
| Immigrants from France | 82.7 /100 | #140 | Excellent 5.1% |
| Immigrants from Eastern Europe | 81.5 /100 | #141 | Excellent 5.1% |
| Palestinians | 80.8 /100 | #142 | Excellent 5.1% |
| Immigrants from Kazakhstan | 80.7 /100 | #143 | Excellent 5.1% |
| Immigrants from Jordan | 80.4 /100 | #144 | Excellent 5.1% |
| Immigrants from Oceania | 79.5 /100 | #145 | Good 5.2% |
| Immigrants from Norway | 79.4 /100 | #146 | Good 5.2% |
| Argentineans | 79.2 /100 | #147 | Good 5.2% |
| Immigrants from Argentina | 78.7 /100 | #148 | Good 5.2% |
Immigrants from Eastern Europe Female Unemployment Correlation Summary
| Measurement | Immigrants from Eastern Europe Data | Female Unemployment Data |
| Minimum | 0.21% | 2.6% |
| Maximum | 35.3% | 9.8% |
| Range | 35.1% | 7.2% |
| Mean | 12.3% | 5.1% |
| Median | 10.9% | 4.9% |
| Interquartile 25% (IQ1) | 5.2% | 4.4% |
| Interquartile 75% (IQ3) | 18.2% | 5.5% |
| Interquartile Range (IQR) | 13.0% | 1.1% |
| Standard Deviation (Sample) | 8.9% | 1.3% |
| Standard Deviation (Population) | 8.8% | 1.3% |
Correlation Details
| Immigrants from Eastern Europe Percentile | Sample Size | Female Unemployment |
[ 0.0% - 0.5% ] 0.21% | 261,414,356 | 5.2% |
[ 0.5% - 1.0% ] 0.72% | 94,545,075 | 4.7% |
[ 1.0% - 1.5% ] 1.23% | 46,991,469 | 5.0% |
[ 1.5% - 2.0% ] 1.73% | 20,274,827 | 4.9% |
[ 2.0% - 2.5% ] 2.28% | 14,675,967 | 5.4% |
[ 2.5% - 3.0% ] 2.74% | 6,811,771 | 4.9% |
[ 3.0% - 3.5% ] 3.16% | 12,394,903 | 6.1% |
[ 3.5% - 4.0% ] 3.76% | 3,383,041 | 4.8% |
[ 4.0% - 4.5% ] 4.27% | 2,632,024 | 4.6% |
[ 4.5% - 5.0% ] 4.73% | 1,640,595 | 5.3% |
[ 5.0% - 5.5% ] 5.20% | 1,048,942 | 5.1% |
[ 5.5% - 6.0% ] 5.83% | 755,808 | 5.3% |
[ 6.0% - 6.5% ] 6.26% | 787,280 | 5.2% |
[ 6.5% - 7.0% ] 6.76% | 440,122 | 4.3% |
[ 7.0% - 7.5% ] 7.23% | 402,649 | 4.2% |
[ 7.5% - 8.0% ] 7.81% | 373,872 | 4.1% |
[ 8.0% - 8.5% ] 8.24% | 370,835 | 4.9% |
[ 8.5% - 9.0% ] 8.77% | 29,528 | 5.1% |
[ 9.0% - 9.5% ] 9.15% | 254,709 | 5.8% |
[ 9.5% - 10.0% ] 9.76% | 245,210 | 4.7% |
[ 10.0% - 10.5% ] 10.24% | 353,075 | 5.3% |
[ 10.5% - 11.0% ] 10.86% | 408,944 | 7.5% |
[ 11.0% - 11.5% ] 11.32% | 134,241 | 6.1% |
[ 11.5% - 12.0% ] 11.66% | 163,157 | 5.5% |
[ 12.0% - 12.5% ] 12.35% | 231,225 | 4.6% |
[ 12.5% - 13.0% ] 12.81% | 106,915 | 7.5% |
[ 13.0% - 13.5% ] 13.25% | 79,100 | 6.0% |
[ 13.5% - 14.0% ] 13.62% | 201,130 | 4.7% |
[ 14.0% - 14.5% ] 14.08% | 45,040 | 4.3% |
[ 15.0% - 15.5% ] 15.26% | 21,064 | 3.4% |
[ 15.5% - 16.0% ] 15.75% | 29,565 | 7.6% |
[ 16.0% - 16.5% ] 16.13% | 151,804 | 4.2% |
[ 18.0% - 18.5% ] 18.18% | 65,708 | 5.2% |
[ 18.5% - 19.0% ] 18.65% | 29,180 | 4.4% |
[ 20.0% - 20.5% ] 20.33% | 1,864 | 4.8% |
[ 20.5% - 21.0% ] 20.89% | 15,291 | 4.5% |
[ 21.0% - 21.5% ] 21.30% | 648 | 3.2% |
[ 22.0% - 22.5% ] 22.24% | 26,408 | 3.8% |
[ 24.5% - 25.0% ] 24.50% | 8,942 | 2.6% |
[ 25.0% - 25.5% ] 25.01% | 23,200 | 3.2% |
[ 32.0% - 32.5% ] 32.16% | 1,990 | 6.8% |
[ 32.5% - 33.0% ] 32.78% | 23,676 | 9.8% |
[ 35.0% - 35.5% ] 35.35% | 83,069 | 5.7% |