Chickasaw vs Immigrants from South Eastern Asia Female Unemployment
COMPARE
Chickasaw
Immigrants from South Eastern Asia
Female Unemployment
Female Unemployment Comparison
Chickasaw
Immigrants from South Eastern Asia
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
5.4%
FEMALE UNEMPLOYMENT
20.3/ 100
METRIC RATING
203rd/ 347
METRIC RANK
Chickasaw vs Immigrants from South Eastern Asia Female Unemployment Correlation Chart
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%. Similarly, the statistical analysis conducted on geographies consisting of 507,584,627 people shows a poor negative correlation between the proportion of Immigrants from South Eastern Asia and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.118 and weighted average of 5.4%, a difference of 4.6%.

Female Unemployment Correlation Summary
Measurement | Chickasaw | Immigrants from South Eastern Asia |
Minimum | 1.8% | 1.5% |
Maximum | 20.0% | 7.6% |
Range | 18.2% | 6.1% |
Mean | 6.1% | 5.3% |
Median | 5.2% | 5.3% |
Interquartile 25% (IQ1) | 3.7% | 5.0% |
Interquartile 75% (IQ3) | 7.0% | 5.8% |
Interquartile Range (IQR) | 3.3% | 0.85% |
Standard Deviation (Sample) | 3.8% | 0.92% |
Standard Deviation (Population) | 3.8% | 0.91% |
Similar Demographics by Female Unemployment
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% |
Demographics Similar to Immigrants from South Eastern Asia by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from South Eastern Asia are Immigrants from Middle Africa (5.4%, a difference of 0.040%), Iroquois (5.4%, a difference of 0.040%), Immigrants from Israel (5.4%, a difference of 0.060%), Soviet Union (5.4%, a difference of 0.12%), and Immigrants from Afghanistan (5.4%, a difference of 0.13%).
Demographics | Rating | Rank | Female Unemployment |
Spaniards | 25.2 /100 | #196 | Fair 5.3% |
Alsatians | 23.9 /100 | #197 | Fair 5.3% |
Tsimshian | 23.1 /100 | #198 | Fair 5.4% |
Hawaiians | 22.2 /100 | #199 | Fair 5.4% |
Soviet Union | 21.7 /100 | #200 | Fair 5.4% |
Immigrants | Middle Africa | 20.8 /100 | #201 | Fair 5.4% |
Iroquois | 20.8 /100 | #202 | Fair 5.4% |
Immigrants | South Eastern Asia | 20.3 /100 | #203 | Fair 5.4% |
Immigrants | Israel | 19.7 /100 | #204 | Poor 5.4% |
Immigrants | Afghanistan | 18.9 /100 | #205 | Poor 5.4% |
Immigrants | Brazil | 18.8 /100 | #206 | Poor 5.4% |
Creek | 15.4 /100 | #207 | Poor 5.4% |
Immigrants | Costa Rica | 13.7 /100 | #208 | Poor 5.4% |
Koreans | 13.4 /100 | #209 | Poor 5.4% |
Choctaw | 12.3 /100 | #210 | Poor 5.4% |