Asian vs Chickasaw Female Unemployment
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Asian
Chickasaw
Female Unemployment
Female Unemployment Comparison
Asians
Chickasaw
5.2%
FEMALE UNEMPLOYMENT
78.3/ 100
METRIC RATING
149th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Asian vs Chickasaw Female Unemployment Correlation Chart
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%. 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 0.49%.
Female Unemployment Correlation Summary
| Measurement | Asian | Chickasaw |
| Minimum | 2.0% | 1.8% |
| Maximum | 9.9% | 20.0% |
| Range | 7.9% | 18.2% |
| Mean | 5.1% | 6.1% |
| Median | 5.0% | 5.2% |
| Interquartile 25% (IQ1) | 4.7% | 3.7% |
| Interquartile 75% (IQ3) | 5.4% | 7.0% |
| Interquartile Range (IQR) | 0.72% | 3.3% |
| Standard Deviation (Sample) | 0.94% | 3.8% |
| Standard Deviation (Population) | 0.94% | 3.8% |
Demographics Similar to Asians and Chickasaw by Female Unemployment
In terms of female unemployment, 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%). 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 | 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% |