South American Indian vs Chickasaw Female Unemployment
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South American Indian
Chickasaw
Female Unemployment
Female Unemployment Comparison
South American Indians
Chickasaw
5.5%
FEMALE UNEMPLOYMENT
2.8/ 100
METRIC RATING
241st/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
South American Indian vs Chickasaw Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 164,368,347 people shows a strong positive correlation between the proportion of South American Indians and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.713 and weighted average of 5.5%. 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 7.9%.
Female Unemployment Correlation Summary
| Measurement | South American Indian | Chickasaw |
| Minimum | 3.2% | 1.8% |
| Maximum | 49.4% | 20.0% |
| Range | 46.2% | 18.2% |
| Mean | 8.3% | 6.1% |
| Median | 5.6% | 5.2% |
| Interquartile 25% (IQ1) | 4.8% | 3.7% |
| Interquartile 75% (IQ3) | 7.7% | 7.0% |
| Interquartile Range (IQR) | 2.9% | 3.3% |
| Standard Deviation (Sample) | 8.7% | 3.8% |
| Standard Deviation (Population) | 8.6% | 3.8% |
Similar Demographics by Female Unemployment
Demographics Similar to South American Indians by Female Unemployment
In terms of female unemployment, the demographic groups most similar to South American Indians are Immigrants from South America (5.5%, a difference of 0.050%), Aleut (5.5%, a difference of 0.080%), Sierra Leonean (5.5%, a difference of 0.18%), Immigrants from Panama (5.5%, a difference of 0.20%), and Immigrants from Cambodia (5.5%, a difference of 0.23%).
| Demographics | Rating | Rank | Female Unemployment |
| Immigrants | Lebanon | 3.3 /100 | #234 | Tragic 5.5% |
| Immigrants | Iran | 3.3 /100 | #235 | Tragic 5.5% |
| Immigrants | Cambodia | 3.3 /100 | #236 | Tragic 5.5% |
| Immigrants | Panama | 3.2 /100 | #237 | Tragic 5.5% |
| Sierra Leoneans | 3.2 /100 | #238 | Tragic 5.5% |
| Aleuts | 3.0 /100 | #239 | Tragic 5.5% |
| Immigrants | South America | 2.9 /100 | #240 | Tragic 5.5% |
| South American Indians | 2.8 /100 | #241 | Tragic 5.5% |
| Marshallese | 2.3 /100 | #242 | Tragic 5.6% |
| Spanish Americans | 2.2 /100 | #243 | Tragic 5.6% |
| Immigrants | Liberia | 1.5 /100 | #244 | Tragic 5.6% |
| Guamanians/Chamorros | 1.4 /100 | #245 | Tragic 5.6% |
| Japanese | 1.2 /100 | #246 | Tragic 5.6% |
| Immigrants | Western Asia | 1.1 /100 | #247 | Tragic 5.6% |
| Cree | 1.0 /100 | #248 | Tragic 5.6% |
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% |