Immigrants from France vs Chickasaw Female Unemployment
COMPARE
Immigrants from France
Chickasaw
Female Unemployment
Female Unemployment Comparison
Immigrants from France
Chickasaw
5.1%
FEMALE UNEMPLOYMENT
82.7/ 100
METRIC RATING
140th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Immigrants from France vs Chickasaw Female Unemployment Correlation Chart
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%. 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 0.060%.
Female Unemployment Correlation Summary
Measurement | Immigrants from France | Chickasaw |
Minimum | 1.1% | 1.8% |
Maximum | 50.0% | 20.0% |
Range | 48.9% | 18.2% |
Mean | 8.8% | 6.1% |
Median | 5.4% | 5.2% |
Interquartile 25% (IQ1) | 4.6% | 3.7% |
Interquartile 75% (IQ3) | 7.5% | 7.0% |
Interquartile Range (IQR) | 2.9% | 3.3% |
Standard Deviation (Sample) | 10.8% | 3.8% |
Standard Deviation (Population) | 10.5% | 3.8% |
Demographics Similar to Immigrants from France and Chickasaw by Female Unemployment
In terms of female unemployment, 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%). 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%), 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 |
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% |