Bangladeshi vs Immigrants from Oceania Female Unemployment
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Bangladeshi
Immigrants from Oceania
Female Unemployment
Female Unemployment Comparison
Bangladeshis
Immigrants from Oceania
5.2%
FEMALE UNEMPLOYMENT
64.3/ 100
METRIC RATING
164th/ 347
METRIC RANK
5.2%
FEMALE UNEMPLOYMENT
79.5/ 100
METRIC RATING
145th/ 347
METRIC RANK
Bangladeshi vs Immigrants from Oceania Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 141,088,133 people shows a poor negative correlation between the proportion of Bangladeshis and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.147 and weighted average of 5.2%. Similarly, the statistical analysis conducted on geographies consisting of 304,351,716 people shows a very strong positive correlation between the proportion of Immigrants from Oceania and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.803 and weighted average of 5.2%, a difference of 1.2%.
Female Unemployment Correlation Summary
| Measurement | Bangladeshi | Immigrants from Oceania |
| Minimum | 1.2% | 1.2% |
| Maximum | 12.1% | 29.1% |
| Range | 10.9% | 27.9% |
| Mean | 5.1% | 7.9% |
| Median | 5.0% | 5.5% |
| Interquartile 25% (IQ1) | 4.1% | 4.7% |
| Interquartile 75% (IQ3) | 6.4% | 8.9% |
| Interquartile Range (IQR) | 2.3% | 4.3% |
| Standard Deviation (Sample) | 2.2% | 5.9% |
| Standard Deviation (Population) | 2.1% | 5.8% |
Demographics Similar to Bangladeshis and Immigrants from Oceania by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Bangladeshis are Immigrants from Asia (5.2%, a difference of 0.0%), Potawatomi (5.2%, a difference of 0.11%), Immigrants from Pakistan (5.2%, a difference of 0.16%), Immigrants from Spain (5.2%, a difference of 0.17%), and Immigrants from Micronesia (5.2%, a difference of 0.18%). Similarly, the demographic groups most similar to Immigrants from Oceania are Immigrants from Norway (5.2%, a difference of 0.010%), Argentinean (5.2%, a difference of 0.030%), Immigrants from Argentina (5.2%, a difference of 0.070%), Immigrants from Jordan (5.1%, a difference of 0.090%), and Asian (5.2%, a difference of 0.11%).
| Demographics | Rating | Rank | Female Unemployment |
| Immigrants | Jordan | 80.4 /100 | #144 | Excellent 5.1% |
| 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% |