Asian vs Potawatomi Female Unemployment
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Asian
Potawatomi
Female Unemployment
Female Unemployment Comparison
Asians
Potawatomi
5.2%
FEMALE UNEMPLOYMENT
78.3/ 100
METRIC RATING
149th/ 347
METRIC RANK
5.2%
FEMALE UNEMPLOYMENT
65.9/ 100
METRIC RATING
162nd/ 347
METRIC RANK
Asian vs Potawatomi Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 542,084,939 people shows no correlation between the proportion of Asians and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.042 and weighted average of 5.2%. Similarly, the statistical analysis conducted on geographies consisting of 117,345,234 people shows a strong positive correlation between the proportion of Potawatomi and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.726 and weighted average of 5.2%, a difference of 0.96%.

Female Unemployment Correlation Summary
Measurement | Asian | Potawatomi |
Minimum | 2.0% | 2.0% |
Maximum | 9.9% | 41.7% |
Range | 7.9% | 39.7% |
Mean | 5.1% | 7.5% |
Median | 5.0% | 5.5% |
Interquartile 25% (IQ1) | 4.7% | 4.1% |
Interquartile 75% (IQ3) | 5.4% | 7.6% |
Interquartile Range (IQR) | 0.72% | 3.5% |
Standard Deviation (Sample) | 0.94% | 7.3% |
Standard Deviation (Population) | 0.94% | 7.2% |
Demographics Similar to Asians and Potawatomi by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Asians are Egyptian (5.2%, a difference of 0.010%), Immigrants from Argentina (5.2%, a difference of 0.030%), Argentinean (5.2%, a difference of 0.080%), Immigrants from Norway (5.2%, a difference of 0.10%), and Immigrants from Oceania (5.2%, a difference of 0.11%). Similarly, the demographic groups most similar to Potawatomi are Immigrants from Pakistan (5.2%, a difference of 0.050%), Immigrants from Spain (5.2%, a difference of 0.060%), Immigrants from Micronesia (5.2%, a difference of 0.070%), Immigrants from Asia (5.2%, a difference of 0.11%), and Bangladeshi (5.2%, a difference of 0.11%).
Demographics | Rating | Rank | Female Unemployment |
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% |
Immigrants | Egypt | 70.0 /100 | #155 | Good 5.2% |
Immigrants | Northern Africa | 69.6 /100 | #156 | Good 5.2% |
Immigrants | Russia | 69.3 /100 | #157 | Good 5.2% |
Albanians | 68.3 /100 | #158 | Good 5.2% |
Immigrants | Micronesia | 66.9 /100 | #159 | Good 5.2% |
Immigrants | Spain | 66.8 /100 | #160 | Good 5.2% |
Immigrants | Pakistan | 66.7 /100 | #161 | Good 5.2% |
Potawatomi | 65.9 /100 | #162 | Good 5.2% |
Immigrants | Asia | 64.3 /100 | #163 | Good 5.2% |
Bangladeshis | 64.3 /100 | #164 | Good 5.2% |
Syrians | 62.8 /100 | #165 | Good 5.2% |