Immigrants from Germany vs Indian (Asian) Female Unemployment
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Immigrants from Germany
Indian (Asian)
Female Unemployment
Female Unemployment Comparison
Immigrants from Germany
Indians (Asian)
5.1%
FEMALE UNEMPLOYMENT
87.6/ 100
METRIC RATING
122nd/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
84.2/ 100
METRIC RATING
136th/ 347
METRIC RANK
Immigrants from Germany vs Indian (Asian) 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 491,024,006 people shows a poor positive correlation between the proportion of Indians (Asian) and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.104 and weighted average of 5.1%, a difference of 0.44%.
Female Unemployment Correlation Summary
Measurement | Immigrants from Germany | Indian (Asian) |
Minimum | 4.0% | 2.9% |
Maximum | 20.3% | 7.6% |
Range | 16.4% | 4.8% |
Mean | 9.2% | 5.0% |
Median | 7.7% | 4.9% |
Interquartile 25% (IQ1) | 5.6% | 4.5% |
Interquartile 75% (IQ3) | 12.3% | 5.5% |
Interquartile Range (IQR) | 6.6% | 0.98% |
Standard Deviation (Sample) | 5.1% | 0.84% |
Standard Deviation (Population) | 5.0% | 0.84% |
Demographics Similar to Immigrants from Germany and Indians (Asian) 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 Indians (Asian) are Pakistani (5.1%, a difference of 0.040%), Immigrants from Eritrea (5.1%, a difference of 0.050%), Immigrants from Latvia (5.1%, a difference of 0.050%), Immigrants from Hong Kong (5.1%, a difference of 0.070%), and Immigrants from Sri Lanka (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% |