Immigrants from Northern Africa vs Pakistani Female Unemployment
COMPARE
Immigrants from Northern Africa
Pakistani
Female Unemployment
Female Unemployment Comparison
Immigrants from Northern Africa
Pakistanis
5.2%
FEMALE UNEMPLOYMENT
69.6/ 100
METRIC RATING
156th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.8/ 100
METRIC RATING
137th/ 347
METRIC RANK
Immigrants from Northern Africa vs Pakistani 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 334,292,014 people shows no correlation between the proportion of Pakistanis and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.002 and weighted average of 5.1%, a difference of 1.3%.
Female Unemployment Correlation Summary
| Measurement | Immigrants from Northern Africa | Pakistani |
| Minimum | 0.96% | 1.7% |
| Maximum | 11.7% | 19.5% |
| Range | 10.7% | 17.8% |
| Mean | 5.3% | 5.8% |
| Median | 5.1% | 5.1% |
| Interquartile 25% (IQ1) | 3.9% | 4.6% |
| Interquartile 75% (IQ3) | 6.3% | 6.3% |
| Interquartile Range (IQR) | 2.4% | 1.7% |
| Standard Deviation (Sample) | 2.3% | 3.1% |
| Standard Deviation (Population) | 2.3% | 3.1% |
Demographics Similar to Immigrants from Northern Africa and Pakistanis by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Northern Africa are Immigrants from Egypt (5.2%, a difference of 0.030%), South African (5.2%, a difference of 0.080%), Immigrants from Greece (5.2%, a difference of 0.40%), Immigrants from Italy (5.2%, a difference of 0.41%), and Immigrants from China (5.2%, a difference of 0.48%). Similarly, the demographic groups most similar to Pakistanis are Indian (Asian) (5.1%, a difference of 0.040%), Chickasaw (5.1%, a difference of 0.060%), Immigrants from Eastern Asia (5.1%, a difference of 0.080%), Immigrants from France (5.1%, a difference of 0.13%), and Immigrants from Eastern Europe (5.1%, a difference of 0.24%).
| Demographics | Rating | Rank | Female Unemployment |
| 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% |
| 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% |