Immigrants from South Africa vs Chickasaw Female Unemployment
COMPARE
Immigrants from South Africa
Chickasaw
Female Unemployment
Female Unemployment Comparison
Immigrants from South Africa
Chickasaw
5.1%
FEMALE UNEMPLOYMENT
87.6/ 100
METRIC RATING
123rd/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Immigrants from South Africa vs Chickasaw Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 232,687,706 people shows a very strong positive correlation between the proportion of Immigrants from South Africa and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.872 and weighted average of 5.1%. 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 0.55%.
Female Unemployment Correlation Summary
| Measurement | Immigrants from South Africa | Chickasaw |
| Minimum | 1.8% | 1.8% |
| Maximum | 55.0% | 20.0% |
| Range | 53.2% | 18.2% |
| Mean | 10.5% | 6.1% |
| Median | 6.4% | 5.2% |
| Interquartile 25% (IQ1) | 5.2% | 3.7% |
| Interquartile 75% (IQ3) | 7.6% | 7.0% |
| Interquartile Range (IQR) | 2.4% | 3.3% |
| Standard Deviation (Sample) | 12.1% | 3.8% |
| Standard Deviation (Population) | 11.9% | 3.8% |
Demographics Similar to Immigrants from South Africa and Chickasaw by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from South Africa are Immigrants from Germany (5.1%, a difference of 0.0%), Immigrants from Europe (5.1%, a difference of 0.050%), Immigrants from Romania (5.1%, a difference of 0.080%), Immigrants from Western Europe (5.1%, a difference of 0.080%), and Basque (5.1%, a difference of 0.15%). 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 | Romania | 88.1 /100 | #120 | Excellent 5.1% |
| Immigrants | Western Europe | 88.1 /100 | #121 | Excellent 5.1% |
| Immigrants | Germany | 87.6 /100 | #122 | Excellent 5.1% |
| Immigrants | South Africa | 87.6 /100 | #123 | Excellent 5.1% |
| Immigrants | Europe | 87.2 /100 | #124 | Excellent 5.1% |
| Basques | 86.5 /100 | #125 | Excellent 5.1% |
| Immigrants | Korea | 86.3 /100 | #126 | Excellent 5.1% |
| Immigrants | Hungary | 86.0 /100 | #127 | Excellent 5.1% |
| Chileans | 85.8 /100 | #128 | Excellent 5.1% |
| Ethiopians | 85.7 /100 | #129 | Excellent 5.1% |
| Maltese | 85.5 /100 | #130 | Excellent 5.1% |
| 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% |