Pakistani vs Chickasaw Female Unemployment
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Pakistani
Chickasaw
Female Unemployment
Female Unemployment Comparison
Pakistanis
Chickasaw
5.1%
FEMALE UNEMPLOYMENT
83.8/ 100
METRIC RATING
137th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Pakistani vs Chickasaw Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 334,292,014 people shows no correlation between the proportion of Pakistanis and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.002 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 | Pakistani | Chickasaw |
Minimum | 1.7% | 1.8% |
Maximum | 19.5% | 20.0% |
Range | 17.8% | 18.2% |
Mean | 5.8% | 6.1% |
Median | 5.1% | 5.2% |
Interquartile 25% (IQ1) | 4.6% | 3.7% |
Interquartile 75% (IQ3) | 6.3% | 7.0% |
Interquartile Range (IQR) | 1.7% | 3.3% |
Standard Deviation (Sample) | 3.1% | 3.8% |
Standard Deviation (Population) | 3.1% | 3.8% |
Demographics Similar to Pakistanis and Chickasaw by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Pakistanis are Indian (Asian) (5.1%, a difference of 0.040%), Immigrants from Eastern Asia (5.1%, a difference of 0.080%), Immigrants from Eritrea (5.1%, a difference of 0.090%), Immigrants from Latvia (5.1%, a difference of 0.090%), and Immigrants from Hong Kong (5.1%, a difference of 0.11%). Similarly, the demographic groups most similar to Chickasaw are Immigrants from Eastern Asia (5.1%, a difference of 0.020%), 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 |
Immigrants | Hungary | 86.0 /100 | #127 | Excellent 5.1% |
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% |