Immigrants from Zimbabwe vs Chickasaw Female Unemployment
COMPARE
Immigrants from Zimbabwe
Chickasaw
Female Unemployment
Female Unemployment Comparison
Immigrants from Zimbabwe
Chickasaw
4.9%
FEMALE UNEMPLOYMENT
99.0/ 100
METRIC RATING
54th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Immigrants from Zimbabwe vs Chickasaw Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 117,690,630 people shows no correlation between the proportion of Immigrants from Zimbabwe and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.011 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 4.8%.
Female Unemployment Correlation Summary
| Measurement | Immigrants from Zimbabwe | Chickasaw |
| Minimum | 1.9% | 1.8% |
| Maximum | 16.5% | 20.0% |
| Range | 14.6% | 18.2% |
| Mean | 5.7% | 6.1% |
| Median | 4.7% | 5.2% |
| Interquartile 25% (IQ1) | 3.6% | 3.7% |
| Interquartile 75% (IQ3) | 5.9% | 7.0% |
| Interquartile Range (IQR) | 2.3% | 3.3% |
| Standard Deviation (Sample) | 3.8% | 3.8% |
| Standard Deviation (Population) | 3.7% | 3.8% |
Similar Demographics by Female Unemployment
Demographics Similar to Immigrants from Zimbabwe by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Zimbabwe are Immigrants from Moldova (4.9%, a difference of 0.020%), Serbian (4.9%, a difference of 0.030%), White/Caucasian (4.9%, a difference of 0.060%), Slavic (4.9%, a difference of 0.090%), and Cambodian (4.9%, a difference of 0.11%).
| Demographics | Rating | Rank | Female Unemployment |
| Okinawans | 99.3 /100 | #47 | Exceptional 4.9% |
| Thais | 99.2 /100 | #48 | Exceptional 4.9% |
| Australians | 99.2 /100 | #49 | Exceptional 4.9% |
| Immigrants | Cuba | 99.1 /100 | #50 | Exceptional 4.9% |
| Cambodians | 99.1 /100 | #51 | Exceptional 4.9% |
| Slavs | 99.1 /100 | #52 | Exceptional 4.9% |
| Whites/Caucasians | 99.0 /100 | #53 | Exceptional 4.9% |
| Immigrants | Zimbabwe | 99.0 /100 | #54 | Exceptional 4.9% |
| 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% |
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% |