Immigrants from Nepal vs Chickasaw Female Unemployment
COMPARE
Immigrants from Nepal
Chickasaw
Female Unemployment
Female Unemployment Comparison
Immigrants from Nepal
Chickasaw
4.9%
FEMALE UNEMPLOYMENT
98.6/ 100
METRIC RATING
62nd/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Immigrants from Nepal vs Chickasaw Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 186,597,918 people shows a poor positive correlation between the proportion of Immigrants from Nepal and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.171 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 | Immigrants from Nepal | Chickasaw |
Minimum | 0.93% | 1.8% |
Maximum | 12.1% | 20.0% |
Range | 11.2% | 18.2% |
Mean | 4.8% | 6.1% |
Median | 4.6% | 5.2% |
Interquartile 25% (IQ1) | 3.8% | 3.7% |
Interquartile 75% (IQ3) | 5.5% | 7.0% |
Interquartile Range (IQR) | 1.7% | 3.3% |
Standard Deviation (Sample) | 2.0% | 3.8% |
Standard Deviation (Population) | 2.0% | 3.8% |
Similar Demographics by Female Unemployment
Demographics Similar to Immigrants from Nepal by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Nepal are Immigrants from Canada (4.9%, a difference of 0.0%), Immigrants from Scotland (4.9%, a difference of 0.010%), Bhutanese (4.9%, a difference of 0.090%), Immigrants from Belgium (4.9%, a difference of 0.11%), and Celtic (4.9%, a difference of 0.12%).
Demographics | Rating | Rank | Female Unemployment |
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% |
Cubans | 98.3 /100 | #67 | Exceptional 4.9% |
Tlingit-Haida | 98.3 /100 | #68 | Exceptional 4.9% |
Immigrants | Ireland | 98.2 /100 | #69 | 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% |