Indian (Asian) vs Immigrants from Germany Female Unemployment
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Indian (Asian)
Immigrants from Germany
Female Unemployment
Female Unemployment Comparison
Indians (Asian)
Immigrants from Germany
5.1%
FEMALE UNEMPLOYMENT
84.2/ 100
METRIC RATING
136th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
87.6/ 100
METRIC RATING
122nd/ 347
METRIC RANK
Indian (Asian) vs Immigrants from Germany Female Unemployment Correlation Chart
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%. Similarly, 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%, a difference of 0.44%.
Female Unemployment Correlation Summary
Measurement | Indian (Asian) | Immigrants from Germany |
Minimum | 2.9% | 4.0% |
Maximum | 7.6% | 20.3% |
Range | 4.8% | 16.4% |
Mean | 5.0% | 9.2% |
Median | 4.9% | 7.7% |
Interquartile 25% (IQ1) | 4.5% | 5.6% |
Interquartile 75% (IQ3) | 5.5% | 12.3% |
Interquartile Range (IQR) | 0.98% | 6.6% |
Standard Deviation (Sample) | 0.84% | 5.1% |
Standard Deviation (Population) | 0.84% | 5.0% |
Demographics Similar to Indians (Asian) and Immigrants from Germany by Female Unemployment
In terms of female unemployment, 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%). Similarly, 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%).
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% |