Immigrants from Germany vs Pakistani Female Unemployment
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Immigrants from Germany
Pakistani
Female Unemployment
Female Unemployment Comparison
Immigrants from Germany
Pakistanis
5.1%
FEMALE UNEMPLOYMENT
87.6/ 100
METRIC RATING
122nd/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
83.8/ 100
METRIC RATING
137th/ 347
METRIC RANK
Immigrants from Germany vs Pakistani Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 460,161,850 people shows a weak positive correlation between the proportion of Immigrants from Germany and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.297 and weighted average of 5.1%. 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 0.48%.
Female Unemployment Correlation Summary
Measurement | Immigrants from Germany | Pakistani |
Minimum | 4.0% | 1.7% |
Maximum | 20.3% | 19.5% |
Range | 16.4% | 17.8% |
Mean | 9.2% | 5.8% |
Median | 7.7% | 5.1% |
Interquartile 25% (IQ1) | 5.6% | 4.6% |
Interquartile 75% (IQ3) | 12.3% | 6.3% |
Interquartile Range (IQR) | 6.6% | 1.7% |
Standard Deviation (Sample) | 5.1% | 3.1% |
Standard Deviation (Population) | 5.0% | 3.1% |
Demographics Similar to Immigrants from Germany and Pakistanis by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Germany are Immigrants from South Africa (5.1%, a difference of 0.0%), Immigrants from Europe (5.1%, a difference of 0.050%), Immigrants from Romania (5.1%, a difference of 0.080%), Immigrants from Western Europe (5.1%, a difference of 0.080%), and Immigrants from North Macedonia (5.1%, a difference of 0.10%). 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 Eritrea (5.1%, a difference of 0.090%), and Immigrants from Latvia (5.1%, a difference of 0.090%).
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% |