Chickasaw Female Unemployment
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Chickasaw
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Female Unemployment
Chickasaw Female Unemployment
5.1%
UNEMPLOYMENT | FEMALES
83.2/ 100
METRIC RATING
138th/ 347
METRIC RANK
Chickasaw 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%. On average, for every 1% (one percent) increase in Chickasaw within a typical geography, there is an increase of 0.30% in unemploymnet rate among females.
It is essential to understand that the correlation between the percentage of Chickasaw and unemploymnet rate among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Chickasaw influences an upward or downward trend in the level of unemploymnet rate among females within an area, or if Chickasaw simply ended up residing in those areas with higher or lower levels of unemploymnet rate among females due to other factors.
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 from Ethiopia | 85.4 /100 | #131 | Excellent 5.1% |
| Immigrants from Sri Lanka | 85.0 /100 | #132 | Excellent 5.1% |
| Immigrants from Hong Kong | 84.8 /100 | #133 | Excellent 5.1% |
| Immigrants from Eritrea | 84.6 /100 | #134 | Excellent 5.1% |
| Immigrants from 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 from Eastern Asia | 83.0 /100 | #139 | Excellent 5.1% |
| Immigrants from France | 82.7 /100 | #140 | Excellent 5.1% |
| Immigrants from Eastern Europe | 81.5 /100 | #141 | Excellent 5.1% |
| Palestinians | 80.8 /100 | #142 | Excellent 5.1% |
| Immigrants from Kazakhstan | 80.7 /100 | #143 | Excellent 5.1% |
| Immigrants from Jordan | 80.4 /100 | #144 | Excellent 5.1% |
| Immigrants from Oceania | 79.5 /100 | #145 | Good 5.2% |
Chickasaw Female Unemployment Correlation Summary
| Measurement | Chickasaw Data | Female Unemployment Data |
| Minimum | 0.032% | 1.8% |
| Maximum | 23.8% | 20.0% |
| Range | 23.8% | 18.2% |
| Mean | 7.4% | 6.1% |
| Median | 6.0% | 5.2% |
| Interquartile 25% (IQ1) | 2.8% | 3.7% |
| Interquartile 75% (IQ3) | 11.0% | 7.0% |
| Interquartile Range (IQR) | 8.3% | 3.3% |
| Standard Deviation (Sample) | 5.9% | 3.8% |
| Standard Deviation (Population) | 5.8% | 3.8% |
Correlation Details
| Chickasaw Percentile | Sample Size | Female Unemployment |
[ 0.0% - 0.5% ] 0.032% | 136,501,640 | 5.5% |
[ 0.0% - 0.5% ] 0.25% | 5,209,327 | 4.8% |
[ 0.0% - 0.5% ] 0.45% | 1,522,643 | 4.9% |
[ 0.5% - 1.0% ] 0.60% | 1,581,383 | 4.5% |
[ 0.5% - 1.0% ] 0.83% | 806,125 | 5.4% |
[ 0.5% - 1.0% ] 0.98% | 454,756 | 5.3% |
[ 1.0% - 1.5% ] 1.19% | 222,642 | 5.5% |
[ 1.0% - 1.5% ] 1.35% | 241,594 | 5.0% |
[ 1.5% - 2.0% ] 1.54% | 83,972 | 4.6% |
[ 1.5% - 2.0% ] 1.74% | 84,676 | 5.4% |
[ 1.5% - 2.0% ] 1.94% | 42,409 | 3.0% |
[ 2.0% - 2.5% ] 2.13% | 29,937 | 5.2% |
[ 2.0% - 2.5% ] 2.28% | 52,742 | 3.7% |
[ 2.5% - 3.0% ] 2.51% | 14,829 | 6.7% |
[ 2.5% - 3.0% ] 2.67% | 13,356 | 7.8% |
[ 2.5% - 3.0% ] 2.88% | 62,364 | 5.8% |
[ 3.0% - 3.5% ] 3.00% | 17,249 | 4.0% |
[ 3.0% - 3.5% ] 3.25% | 14,080 | 2.5% |
[ 3.0% - 3.5% ] 3.48% | 7,133 | 3.4% |
[ 3.5% - 4.0% ] 3.55% | 4,958 | 2.7% |
[ 3.5% - 4.0% ] 3.83% | 1,226 | 11.5% |
[ 3.5% - 4.0% ] 3.93% | 2,672 | 5.1% |
[ 4.0% - 4.5% ] 4.17% | 2,683 | 2.9% |
[ 4.0% - 4.5% ] 4.35% | 20,308 | 6.4% |
[ 4.5% - 5.0% ] 4.53% | 26,620 | 4.5% |
[ 4.5% - 5.0% ] 4.69% | 2,795 | 8.2% |
[ 4.5% - 5.0% ] 4.85% | 1,773 | 6.1% |
[ 5.0% - 5.5% ] 5.11% | 4,603 | 9.5% |
[ 5.0% - 5.5% ] 5.18% | 40,388 | 3.8% |
[ 5.5% - 6.0% ] 5.56% | 3,956 | 6.1% |
[ 5.5% - 6.0% ] 6.00% | 3,119 | 6.8% |
[ 6.0% - 6.5% ] 6.36% | 6,967 | 4.1% |
[ 6.5% - 7.0% ] 6.65% | 1,234 | 14.3% |
[ 6.5% - 7.0% ] 6.95% | 4,633 | 2.9% |
[ 7.0% - 7.5% ] 7.04% | 1,108 | 4.2% |
[ 7.0% - 7.5% ] 7.46% | 2,735 | 5.5% |
[ 7.5% - 8.0% ] 7.57% | 1,123 | 2.4% |
[ 8.0% - 8.5% ] 8.21% | 633 | 2.0% |
[ 8.0% - 8.5% ] 8.29% | 4,329 | 2.4% |
[ 8.5% - 9.0% ] 8.91% | 101 | 7.7% |
[ 9.0% - 9.5% ] 9.11% | 966 | 1.8% |
[ 9.0% - 9.5% ] 9.44% | 4,841 | 7.9% |
[ 10.0% - 10.5% ] 10.00% | 6,707 | 3.7% |
[ 10.0% - 10.5% ] 10.49% | 286 | 3.3% |
[ 10.5% - 11.0% ] 10.75% | 930 | 2.0% |
[ 10.5% - 11.0% ] 10.95% | 5,491 | 3.2% |
[ 11.0% - 11.5% ] 11.15% | 1,283 | 2.9% |
[ 11.5% - 12.0% ] 11.54% | 208 | 16.7% |
[ 11.5% - 12.0% ] 11.68% | 1,473 | 7.1% |
[ 11.5% - 12.0% ] 11.85% | 16,537 | 5.2% |
[ 11.5% - 12.0% ] 11.98% | 31,368 | 4.0% |
[ 13.0% - 13.5% ] 13.12% | 7,704 | 6.9% |
[ 13.0% - 13.5% ] 13.31% | 3,110 | 9.1% |
[ 13.0% - 13.5% ] 13.45% | 119 | 9.5% |
[ 14.5% - 15.0% ] 14.64% | 560 | 5.9% |
[ 15.5% - 16.0% ] 15.98% | 488 | 7.3% |
[ 18.0% - 18.5% ] 18.46% | 428 | 4.5% |
[ 20.0% - 20.5% ] 20.31% | 64 | 20.0% |
[ 21.0% - 21.5% ] 21.23% | 212 | 15.4% |
[ 21.5% - 22.0% ] 21.86% | 988 | 5.2% |
[ 23.5% - 24.0% ] 23.81% | 189 | 17.4% |