Chickasaw vs Immigrants from Hungary Female Unemployment
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Chickasaw
Immigrants from Hungary
Female Unemployment
Female Unemployment Comparison
Chickasaw
Immigrants from Hungary
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
86.0/ 100
METRIC RATING
127th/ 347
METRIC RANK
Chickasaw vs Immigrants from Hungary Female Unemployment Correlation Chart
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%. Similarly, the statistical analysis conducted on geographies consisting of 195,332,596 people shows a mild positive correlation between the proportion of Immigrants from Hungary and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.389 and weighted average of 5.1%, a difference of 0.33%.
Female Unemployment Correlation Summary
| Measurement | Chickasaw | Immigrants from Hungary |
| Minimum | 1.8% | 1.2% |
| Maximum | 20.0% | 15.8% |
| Range | 18.2% | 14.6% |
| Mean | 6.1% | 5.7% |
| Median | 5.2% | 4.8% |
| Interquartile 25% (IQ1) | 3.7% | 4.0% |
| Interquartile 75% (IQ3) | 7.0% | 6.1% |
| Interquartile Range (IQR) | 3.3% | 2.1% |
| Standard Deviation (Sample) | 3.8% | 3.5% |
| Standard Deviation (Population) | 3.8% | 3.4% |
Demographics Similar to Chickasaw and Immigrants from Hungary by Female Unemployment
In terms of female unemployment, 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%). Similarly, the demographic groups most similar to Immigrants from Hungary are Chilean (5.1%, a difference of 0.030%), Immigrants from Korea (5.1%, a difference of 0.040%), Ethiopian (5.1%, a difference of 0.040%), Basque (5.1%, a difference of 0.060%), and Maltese (5.1%, a difference of 0.070%).
| Demographics | Rating | Rank | Female Unemployment |
| 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% |
| Palestinians | 80.8 /100 | #142 | Excellent 5.1% |