Immigrants from Northern Africa vs Bangladeshi Female Unemployment
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Immigrants from Northern Africa
Bangladeshi
Female Unemployment
Female Unemployment Comparison
Immigrants from Northern Africa
Bangladeshis
5.2%
FEMALE UNEMPLOYMENT
69.6/ 100
METRIC RATING
156th/ 347
METRIC RANK
5.2%
FEMALE UNEMPLOYMENT
64.3/ 100
METRIC RATING
164th/ 347
METRIC RANK
Immigrants from Northern Africa vs Bangladeshi Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 320,534,342 people shows no correlation between the proportion of Immigrants from Northern Africa and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.023 and weighted average of 5.2%. Similarly, 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%, a difference of 0.37%.
Female Unemployment Correlation Summary
Measurement | Immigrants from Northern Africa | Bangladeshi |
Minimum | 0.96% | 1.2% |
Maximum | 11.7% | 12.1% |
Range | 10.7% | 10.9% |
Mean | 5.3% | 5.1% |
Median | 5.1% | 5.0% |
Interquartile 25% (IQ1) | 3.9% | 4.1% |
Interquartile 75% (IQ3) | 6.3% | 6.4% |
Interquartile Range (IQR) | 2.4% | 2.3% |
Standard Deviation (Sample) | 2.3% | 2.2% |
Standard Deviation (Population) | 2.3% | 2.1% |
Demographics Similar to Immigrants from Northern Africa and Bangladeshis by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Northern Africa are Immigrants from Russia (5.2%, a difference of 0.020%), Immigrants from Egypt (5.2%, a difference of 0.030%), South African (5.2%, a difference of 0.080%), Albanian (5.2%, a difference of 0.10%), and Immigrants from Micronesia (5.2%, a difference of 0.19%). Similarly, the demographic groups most similar to Bangladeshis are Immigrants from Asia (5.2%, a difference of 0.0%), Syrian (5.2%, a difference of 0.10%), Native Hawaiian (5.2%, a difference of 0.10%), Potawatomi (5.2%, a difference of 0.11%), and Immigrants from Thailand (5.2%, a difference of 0.14%).
Demographics | Rating | Rank | Female Unemployment |
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% |
Native Hawaiians | 62.7 /100 | #166 | Good 5.2% |
Immigrants | Thailand | 62.1 /100 | #167 | Good 5.2% |
Sri Lankans | 59.4 /100 | #168 | Average 5.2% |
Immigrants | Chile | 59.0 /100 | #169 | Average 5.2% |
Spanish | 55.9 /100 | #170 | Average 5.2% |