Chickasaw vs Immigrants from Eastern Asia Female Unemployment
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Chickasaw
Immigrants from Eastern Asia
Female Unemployment
Female Unemployment Comparison
Chickasaw
Immigrants from Eastern Asia
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.0/ 100
METRIC RATING
139th/ 347
METRIC RANK
Chickasaw vs Immigrants from Eastern Asia 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 495,373,600 people shows no correlation between the proportion of Immigrants from Eastern Asia and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.030 and weighted average of 5.1%, a difference of 0.020%.
Female Unemployment Correlation Summary
Measurement | Chickasaw | Immigrants from Eastern Asia |
Minimum | 1.8% | 1.9% |
Maximum | 20.0% | 8.0% |
Range | 18.2% | 6.1% |
Mean | 6.1% | 5.1% |
Median | 5.2% | 5.0% |
Interquartile 25% (IQ1) | 3.7% | 4.6% |
Interquartile 75% (IQ3) | 7.0% | 5.5% |
Interquartile Range (IQR) | 3.3% | 0.85% |
Standard Deviation (Sample) | 3.8% | 0.97% |
Standard Deviation (Population) | 3.8% | 0.96% |
Demographics Similar to Chickasaw and Immigrants from Eastern Asia by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Chickasaw are 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%), Immigrants from Latvia (5.1%, a difference of 0.15%), and Immigrants from Eritrea (5.1%, a difference of 0.16%). Similarly, the demographic groups most similar to Immigrants from Eastern Asia are Immigrants from France (5.1%, a difference of 0.040%), Pakistani (5.1%, a difference of 0.080%), Indian (Asian) (5.1%, a difference of 0.13%), Immigrants from Eastern Europe (5.1%, a difference of 0.16%), and Immigrants from Latvia (5.1%, a difference of 0.17%).
Demographics | Rating | Rank | Female Unemployment |
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% |
Immigrants | Argentina | 78.7 /100 | #148 | Good 5.2% |