Immigrants from China vs Indian (Asian) Female Unemployment
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Immigrants from China
Indian (Asian)
Female Unemployment
Female Unemployment Comparison
Immigrants from China
Indians (Asian)
5.2%
FEMALE UNEMPLOYMENT
75.9/ 100
METRIC RATING
151st/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
84.2/ 100
METRIC RATING
136th/ 347
METRIC RANK
Immigrants from China vs Indian (Asian) Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 454,254,097 people shows a slight positive correlation between the proportion of Immigrants from China and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.099 and weighted average of 5.2%. 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 0.81%.
Female Unemployment Correlation Summary
Measurement | Immigrants from China | Indian (Asian) |
Minimum | 1.7% | 2.9% |
Maximum | 7.7% | 7.6% |
Range | 6.0% | 4.8% |
Mean | 5.1% | 5.0% |
Median | 5.1% | 4.9% |
Interquartile 25% (IQ1) | 4.7% | 4.5% |
Interquartile 75% (IQ3) | 5.8% | 5.5% |
Interquartile Range (IQR) | 1.0% | 0.98% |
Standard Deviation (Sample) | 1.0% | 0.84% |
Standard Deviation (Population) | 1.0% | 0.84% |
Demographics Similar to Immigrants from China and Indians (Asian) by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from China are Immigrants from Italy (5.2%, a difference of 0.080%), Immigrants from Greece (5.2%, a difference of 0.080%), Asian (5.2%, a difference of 0.21%), Egyptian (5.2%, a difference of 0.21%), and Immigrants from Argentina (5.2%, a difference of 0.24%). 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 Chickasaw (5.1%, a difference of 0.11%).
Demographics | Rating | Rank | Female Unemployment |
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% |
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% |