Chickasaw vs Asian Female Unemployment
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Chickasaw
Asian
Female Unemployment
Female Unemployment Comparison
Chickasaw
Asians
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
5.2%
FEMALE UNEMPLOYMENT
78.3/ 100
METRIC RATING
149th/ 347
METRIC RANK
Chickasaw vs Asian 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 542,084,939 people shows no correlation between the proportion of Asians and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.042 and weighted average of 5.2%, a difference of 0.49%.
Female Unemployment Correlation Summary
Measurement | Chickasaw | Asian |
Minimum | 1.8% | 2.0% |
Maximum | 20.0% | 9.9% |
Range | 18.2% | 7.9% |
Mean | 6.1% | 5.1% |
Median | 5.2% | 5.0% |
Interquartile 25% (IQ1) | 3.7% | 4.7% |
Interquartile 75% (IQ3) | 7.0% | 5.4% |
Interquartile Range (IQR) | 3.3% | 0.72% |
Standard Deviation (Sample) | 3.8% | 0.94% |
Standard Deviation (Population) | 3.8% | 0.94% |
Demographics Similar to Chickasaw and Asians 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 Asians are Egyptian (5.2%, a difference of 0.010%), Immigrants from Argentina (5.2%, a difference of 0.030%), Argentinean (5.2%, a difference of 0.080%), Immigrants from Norway (5.2%, a difference of 0.10%), and Immigrants from Oceania (5.2%, a difference of 0.11%).
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% |