Chickasaw vs Immigrants from France Female Unemployment
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Chickasaw
Immigrants from France
Female Unemployment
Female Unemployment Comparison
Chickasaw
Immigrants from France
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
82.7/ 100
METRIC RATING
140th/ 347
METRIC RANK
Chickasaw vs Immigrants from France 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 287,167,055 people shows a strong positive correlation between the proportion of Immigrants from France and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.714 and weighted average of 5.1%, a difference of 0.060%.
Female Unemployment Correlation Summary
Measurement | Chickasaw | Immigrants from France |
Minimum | 1.8% | 1.1% |
Maximum | 20.0% | 50.0% |
Range | 18.2% | 48.9% |
Mean | 6.1% | 8.8% |
Median | 5.2% | 5.4% |
Interquartile 25% (IQ1) | 3.7% | 4.6% |
Interquartile 75% (IQ3) | 7.0% | 7.5% |
Interquartile Range (IQR) | 3.3% | 2.9% |
Standard Deviation (Sample) | 3.8% | 10.8% |
Standard Deviation (Population) | 3.8% | 10.5% |
Demographics Similar to Chickasaw and Immigrants from France 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%), 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 France are Immigrants from Eastern Asia (5.1%, a difference of 0.040%), Immigrants from Eastern Europe (5.1%, a difference of 0.12%), Pakistani (5.1%, a difference of 0.13%), Indian (Asian) (5.1%, a difference of 0.17%), and Palestinian (5.1%, a difference of 0.19%).
Demographics | Rating | Rank | Female Unemployment |
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% |
Asians | 78.3 /100 | #149 | Good 5.2% |