Immigrants from Europe vs Chickasaw Female Unemployment
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Immigrants from Europe
Chickasaw
Female Unemployment
Female Unemployment Comparison
Immigrants from Europe
Chickasaw
5.1%
FEMALE UNEMPLOYMENT
87.2/ 100
METRIC RATING
124th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Immigrants from Europe vs Chickasaw Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 538,568,700 people shows a weak positive correlation between the proportion of Immigrants from Europe and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.247 and weighted average of 5.1%. Similarly, the statistical analysis conducted on geographies consisting of 147,184,773 people shows a moderate positive correlation between the proportion of Chickasaw and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.454 and weighted average of 5.1%, a difference of 0.50%.
Female Unemployment Correlation Summary
Measurement | Immigrants from Europe | Chickasaw |
Minimum | 2.6% | 1.8% |
Maximum | 21.1% | 20.0% |
Range | 18.5% | 18.2% |
Mean | 6.1% | 6.1% |
Median | 5.1% | 5.2% |
Interquartile 25% (IQ1) | 4.6% | 3.7% |
Interquartile 75% (IQ3) | 5.9% | 7.0% |
Interquartile Range (IQR) | 1.2% | 3.3% |
Standard Deviation (Sample) | 3.5% | 3.8% |
Standard Deviation (Population) | 3.5% | 3.8% |
Demographics Similar to Immigrants from Europe and Chickasaw by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Europe are Immigrants from Germany (5.1%, a difference of 0.050%), Immigrants from South Africa (5.1%, a difference of 0.050%), Basque (5.1%, a difference of 0.10%), Immigrants from Korea (5.1%, a difference of 0.12%), and Immigrants from Western Europe (5.1%, a difference of 0.13%). Similarly, the demographic groups most similar to Chickasaw are Immigrants from Eastern Asia (5.1%, a difference of 0.020%), Pakistani (5.1%, a difference of 0.060%), Immigrants from France (5.1%, a difference of 0.060%), Indian (Asian) (5.1%, a difference of 0.11%), and Immigrants from Latvia (5.1%, a difference of 0.15%).
Demographics | Rating | Rank | Female Unemployment |
Immigrants | Western Europe | 88.1 /100 | #121 | Excellent 5.1% |
Immigrants | Germany | 87.6 /100 | #122 | Excellent 5.1% |
Immigrants | South Africa | 87.6 /100 | #123 | Excellent 5.1% |
Immigrants | Europe | 87.2 /100 | #124 | Excellent 5.1% |
Basques | 86.5 /100 | #125 | Excellent 5.1% |
Immigrants | Korea | 86.3 /100 | #126 | Excellent 5.1% |
Immigrants | Hungary | 86.0 /100 | #127 | Excellent 5.1% |
Chileans | 85.8 /100 | #128 | Excellent 5.1% |
Ethiopians | 85.7 /100 | #129 | Excellent 5.1% |
Maltese | 85.5 /100 | #130 | Excellent 5.1% |
Immigrants | Ethiopia | 85.4 /100 | #131 | Excellent 5.1% |
Immigrants | Sri Lanka | 85.0 /100 | #132 | Excellent 5.1% |
Immigrants | Hong Kong | 84.8 /100 | #133 | Excellent 5.1% |
Immigrants | Eritrea | 84.6 /100 | #134 | Excellent 5.1% |
Immigrants | 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 | Eastern Asia | 83.0 /100 | #139 | Excellent 5.1% |
Immigrants | France | 82.7 /100 | #140 | Excellent 5.1% |
Immigrants | Eastern Europe | 81.5 /100 | #141 | Excellent 5.1% |