Immigrants from Northern Africa vs Chickasaw Female Unemployment
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Immigrants from Northern Africa
Chickasaw
Female Unemployment
Female Unemployment Comparison
Immigrants from Northern Africa
Chickasaw
5.2%
FEMALE UNEMPLOYMENT
69.6/ 100
METRIC RATING
156th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Immigrants from Northern Africa vs Chickasaw Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 320,534,342 people shows no correlation between the proportion of Immigrants from Northern Africa and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.023 and weighted average of 5.2%. 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 1.2%.
Female Unemployment Correlation Summary
Measurement | Immigrants from Northern Africa | Chickasaw |
Minimum | 0.96% | 1.8% |
Maximum | 11.7% | 20.0% |
Range | 10.7% | 18.2% |
Mean | 5.3% | 6.1% |
Median | 5.1% | 5.2% |
Interquartile 25% (IQ1) | 3.9% | 3.7% |
Interquartile 75% (IQ3) | 6.3% | 7.0% |
Interquartile Range (IQR) | 2.4% | 3.3% |
Standard Deviation (Sample) | 2.3% | 3.8% |
Standard Deviation (Population) | 2.3% | 3.8% |
Demographics Similar to Immigrants from Northern Africa and Chickasaw by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Northern Africa are Immigrants from Russia (5.2%, a difference of 0.020%), Immigrants from Egypt (5.2%, a difference of 0.030%), South African (5.2%, a difference of 0.080%), Immigrants from Greece (5.2%, a difference of 0.40%), and Immigrants from Italy (5.2%, a difference of 0.41%). 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 Eastern Europe (5.1%, a difference of 0.18%), and Palestinian (5.1%, a difference of 0.26%).
Demographics | Rating | Rank | Female Unemployment |
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% |
Egyptians | 78.3 /100 | #150 | Good 5.2% |
Immigrants | China | 75.9 /100 | #151 | Good 5.2% |
Immigrants | Italy | 75.0 /100 | #152 | Good 5.2% |
Immigrants | Greece | 74.9 /100 | #153 | Good 5.2% |
South Africans | 70.8 /100 | #154 | Good 5.2% |
Immigrants | Egypt | 70.0 /100 | #155 | Good 5.2% |
Immigrants | Northern Africa | 69.6 /100 | #156 | Good 5.2% |
Immigrants | Russia | 69.3 /100 | #157 | Good 5.2% |