Immigrants from Eastern Asia vs Chickasaw Female Unemployment
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Immigrants from Eastern Asia
Chickasaw
Female Unemployment
Female Unemployment Comparison
Immigrants from Eastern Asia
Chickasaw
5.1%
FEMALE UNEMPLOYMENT
83.0/ 100
METRIC RATING
139th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Immigrants from Eastern Asia vs Chickasaw Female Unemployment Correlation Chart
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%. 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 0.020%.
Female Unemployment Correlation Summary
Measurement | Immigrants from Eastern Asia | Chickasaw |
Minimum | 1.9% | 1.8% |
Maximum | 8.0% | 20.0% |
Range | 6.1% | 18.2% |
Mean | 5.1% | 6.1% |
Median | 5.0% | 5.2% |
Interquartile 25% (IQ1) | 4.6% | 3.7% |
Interquartile 75% (IQ3) | 5.5% | 7.0% |
Interquartile Range (IQR) | 0.85% | 3.3% |
Standard Deviation (Sample) | 0.97% | 3.8% |
Standard Deviation (Population) | 0.96% | 3.8% |
Demographics Similar to Immigrants from Eastern Asia and Chickasaw by Female Unemployment
In terms of female unemployment, 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%). Similarly, 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%).
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% |