Chickasaw vs Immigrants from Argentina Female Unemployment
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Chickasaw
Immigrants from Argentina
Female Unemployment
Female Unemployment Comparison
Chickasaw
Immigrants from Argentina
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
5.2%
FEMALE UNEMPLOYMENT
78.7/ 100
METRIC RATING
148th/ 347
METRIC RANK
Chickasaw vs Immigrants from Argentina 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 263,999,591 people shows a poor negative correlation between the proportion of Immigrants from Argentina and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.143 and weighted average of 5.2%, a difference of 0.46%.
Female Unemployment Correlation Summary
| Measurement | Chickasaw | Immigrants from Argentina |
| Minimum | 1.8% | 0.70% |
| Maximum | 20.0% | 11.2% |
| Range | 18.2% | 10.5% |
| Mean | 6.1% | 4.9% |
| Median | 5.2% | 5.0% |
| Interquartile 25% (IQ1) | 3.7% | 3.7% |
| Interquartile 75% (IQ3) | 7.0% | 5.7% |
| Interquartile Range (IQR) | 3.3% | 2.1% |
| Standard Deviation (Sample) | 3.8% | 1.8% |
| Standard Deviation (Population) | 3.8% | 1.8% |
Demographics Similar to Chickasaw and Immigrants from Argentina 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 Argentina are Asian (5.2%, a difference of 0.030%), Egyptian (5.2%, a difference of 0.040%), Argentinean (5.2%, a difference of 0.050%), Immigrants from Norway (5.2%, a difference of 0.060%), and Immigrants from Oceania (5.2%, a difference of 0.070%).
| Demographics | Rating | Rank | Female Unemployment |
| 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% |
| Immigrants | Kazakhstan | 80.7 /100 | #143 | Excellent 5.1% |
| Immigrants | Jordan | 80.4 /100 | #144 | Excellent 5.1% |
| Immigrants | Oceania | 79.5 /100 | #145 | Good 5.2% |
| Immigrants | Norway | 79.4 /100 | #146 | Good 5.2% |
| Argentineans | 79.2 /100 | #147 | Good 5.2% |
| Immigrants | Argentina | 78.7 /100 | #148 | Good 5.2% |
| Asians | 78.3 /100 | #149 | Good 5.2% |
| Egyptians | 78.3 /100 | #150 | Good 5.2% |
| Immigrants | China | 75.9 /100 | #151 | Good 5.2% |
| Immigrants | Italy | 75.0 /100 | #152 | Good 5.2% |
| Immigrants | Greece | 74.9 /100 | #153 | Good 5.2% |