Pakistani vs Immigrants from Western Europe Female Unemployment
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Pakistani
Immigrants from Western Europe
Female Unemployment
Female Unemployment Comparison
Pakistanis
Immigrants from Western Europe
5.1%
FEMALE UNEMPLOYMENT
83.8/ 100
METRIC RATING
137th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
88.1/ 100
METRIC RATING
121st/ 347
METRIC RANK
Pakistani vs Immigrants from Western Europe Female Unemployment Correlation Chart
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%. Similarly, the statistical analysis conducted on geographies consisting of 489,098,257 people shows a significant positive correlation between the proportion of Immigrants from Western Europe and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.654 and weighted average of 5.1%, a difference of 0.56%.
Female Unemployment Correlation Summary
Measurement | Pakistani | Immigrants from Western Europe |
Minimum | 1.7% | 2.0% |
Maximum | 19.5% | 50.0% |
Range | 17.8% | 48.0% |
Mean | 5.8% | 11.1% |
Median | 5.1% | 7.5% |
Interquartile 25% (IQ1) | 4.6% | 5.2% |
Interquartile 75% (IQ3) | 6.3% | 13.4% |
Interquartile Range (IQR) | 1.7% | 8.2% |
Standard Deviation (Sample) | 3.1% | 10.1% |
Standard Deviation (Population) | 3.1% | 9.9% |
Demographics Similar to Pakistanis and Immigrants from Western Europe by Female Unemployment
In terms of female unemployment, 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 Eritrea (5.1%, a difference of 0.090%), and Immigrants from Latvia (5.1%, a difference of 0.090%). Similarly, the demographic groups most similar to Immigrants from Western Europe are Immigrants from Romania (5.1%, a difference of 0.0%), Immigrants from North Macedonia (5.1%, a difference of 0.030%), Immigrants from Germany (5.1%, a difference of 0.080%), Immigrants from South Africa (5.1%, a difference of 0.080%), and Immigrants from Europe (5.1%, a difference of 0.13%).
Demographics | Rating | Rank | Female Unemployment |
Immigrants | North Macedonia | 88.3 /100 | #119 | Excellent 5.1% |
Immigrants | Romania | 88.1 /100 | #120 | Excellent 5.1% |
Immigrants | Western Europe | 88.1 /100 | #121 | Excellent 5.1% |
Immigrants | Germany | 87.6 /100 | #122 | Excellent 5.1% |
Immigrants | South Africa | 87.6 /100 | #123 | Excellent 5.1% |
Immigrants | Europe | 87.2 /100 | #124 | Excellent 5.1% |
Basques | 86.5 /100 | #125 | Excellent 5.1% |
Immigrants | Korea | 86.3 /100 | #126 | Excellent 5.1% |
Immigrants | Hungary | 86.0 /100 | #127 | Excellent 5.1% |
Chileans | 85.8 /100 | #128 | Excellent 5.1% |
Ethiopians | 85.7 /100 | #129 | Excellent 5.1% |
Maltese | 85.5 /100 | #130 | Excellent 5.1% |
Immigrants | Ethiopia | 85.4 /100 | #131 | Excellent 5.1% |
Immigrants | Sri Lanka | 85.0 /100 | #132 | Excellent 5.1% |
Immigrants | Hong Kong | 84.8 /100 | #133 | Excellent 5.1% |
Immigrants | Eritrea | 84.6 /100 | #134 | Excellent 5.1% |
Immigrants | 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 | Eastern Asia | 83.0 /100 | #139 | Excellent 5.1% |