Indian (Asian) vs Chickasaw Female Unemployment
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Indian (Asian)
Chickasaw
Female Unemployment
Female Unemployment Comparison
Indians (Asian)
Chickasaw
5.1%
FEMALE UNEMPLOYMENT
84.2/ 100
METRIC RATING
136th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Indian (Asian) vs Chickasaw Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 491,024,006 people shows a poor positive correlation between the proportion of Indians (Asian) and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.104 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 0.11%.
Female Unemployment Correlation Summary
| Measurement | Indian (Asian) | Chickasaw |
| Minimum | 2.9% | 1.8% |
| Maximum | 7.6% | 20.0% |
| Range | 4.8% | 18.2% |
| Mean | 5.0% | 6.1% |
| Median | 4.9% | 5.2% |
| Interquartile 25% (IQ1) | 4.5% | 3.7% |
| Interquartile 75% (IQ3) | 5.5% | 7.0% |
| Interquartile Range (IQR) | 0.98% | 3.3% |
| Standard Deviation (Sample) | 0.84% | 3.8% |
| Standard Deviation (Population) | 0.84% | 3.8% |
Demographics Similar to Indians (Asian) and Chickasaw by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Indians (Asian) are Pakistani (5.1%, a difference of 0.040%), Immigrants from Eritrea (5.1%, a difference of 0.050%), Immigrants from Latvia (5.1%, a difference of 0.050%), Immigrants from Hong Kong (5.1%, a difference of 0.070%), and Immigrants from Sri Lanka (5.1%, a difference of 0.090%). 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%), Immigrants from Latvia (5.1%, a difference of 0.15%), and Immigrants from Eritrea (5.1%, a difference of 0.16%).
| Demographics | Rating | Rank | Female Unemployment |
| 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% |
| 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% |