Bhutanese vs Chickasaw Female Unemployment
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Bhutanese
Chickasaw
Female Unemployment
Female Unemployment Comparison
Bhutanese
Chickasaw
4.9%
FEMALE UNEMPLOYMENT
98.7/ 100
METRIC RATING
59th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Bhutanese vs Chickasaw Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 452,429,173 people shows a moderate negative correlation between the proportion of Bhutanese and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.408 and weighted average of 4.9%. 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 4.3%.
Female Unemployment Correlation Summary
| Measurement | Bhutanese | Chickasaw |
| Minimum | 0.60% | 1.8% |
| Maximum | 10.5% | 20.0% |
| Range | 9.9% | 18.2% |
| Mean | 4.6% | 6.1% |
| Median | 4.9% | 5.2% |
| Interquartile 25% (IQ1) | 3.3% | 3.7% |
| Interquartile 75% (IQ3) | 5.5% | 7.0% |
| Interquartile Range (IQR) | 2.2% | 3.3% |
| Standard Deviation (Sample) | 1.8% | 3.8% |
| Standard Deviation (Population) | 1.8% | 3.8% |
Similar Demographics by Female Unemployment
Demographics Similar to Bhutanese by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Bhutanese are Immigrants from Scotland (4.9%, a difference of 0.080%), Immigrants from Canada (4.9%, a difference of 0.090%), Immigrants from Nepal (4.9%, a difference of 0.090%), Immigrants from Lithuania (4.9%, a difference of 0.12%), and Immigrants from Belgium (4.9%, a difference of 0.20%).
| Demographics | Rating | Rank | Female Unemployment |
| Slavs | 99.1 /100 | #52 | Exceptional 4.9% |
| Whites/Caucasians | 99.0 /100 | #53 | Exceptional 4.9% |
| Immigrants | Zimbabwe | 99.0 /100 | #54 | Exceptional 4.9% |
| Immigrants | Moldova | 99.0 /100 | #55 | Exceptional 4.9% |
| Serbians | 99.0 /100 | #56 | Exceptional 4.9% |
| Icelanders | 98.8 /100 | #57 | Exceptional 4.9% |
| Immigrants | Lithuania | 98.8 /100 | #58 | Exceptional 4.9% |
| Bhutanese | 98.7 /100 | #59 | Exceptional 4.9% |
| Immigrants | Scotland | 98.6 /100 | #60 | Exceptional 4.9% |
| Immigrants | Canada | 98.6 /100 | #61 | Exceptional 4.9% |
| Immigrants | Nepal | 98.6 /100 | #62 | Exceptional 4.9% |
| Immigrants | Belgium | 98.5 /100 | #63 | Exceptional 4.9% |
| Celtics | 98.5 /100 | #64 | Exceptional 4.9% |
| Immigrants | North America | 98.3 /100 | #65 | Exceptional 4.9% |
| Hungarians | 98.3 /100 | #66 | Exceptional 4.9% |
Demographics Similar to Chickasaw 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%), Immigrants from France (5.1%, a difference of 0.060%), Indian (Asian) (5.1%, a difference of 0.11%), and Immigrants from Latvia (5.1%, a difference of 0.15%).
| Demographics | Rating | Rank | Female Unemployment |
| 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% |