Immigrants from China vs Chickasaw Female Unemployment
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Immigrants from China
Chickasaw
Female Unemployment
Female Unemployment Comparison
Immigrants from China
Chickasaw
5.2%
FEMALE UNEMPLOYMENT
75.9/ 100
METRIC RATING
151st/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Immigrants from China vs Chickasaw Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 454,254,097 people shows a slight positive correlation between the proportion of Immigrants from China and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.099 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 0.70%.
Female Unemployment Correlation Summary
| Measurement | Immigrants from China | Chickasaw |
| Minimum | 1.7% | 1.8% |
| Maximum | 7.7% | 20.0% |
| Range | 6.0% | 18.2% |
| Mean | 5.1% | 6.1% |
| Median | 5.1% | 5.2% |
| Interquartile 25% (IQ1) | 4.7% | 3.7% |
| Interquartile 75% (IQ3) | 5.8% | 7.0% |
| Interquartile Range (IQR) | 1.0% | 3.3% |
| Standard Deviation (Sample) | 1.0% | 3.8% |
| Standard Deviation (Population) | 1.0% | 3.8% |
Demographics Similar to Immigrants from China and Chickasaw by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from China are Immigrants from Italy (5.2%, a difference of 0.080%), Immigrants from Greece (5.2%, a difference of 0.080%), Asian (5.2%, a difference of 0.21%), Egyptian (5.2%, a difference of 0.21%), and Immigrants from Argentina (5.2%, a difference of 0.24%). 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%), 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 | 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% |
| 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% |