Immigrants from Hong Kong vs Chilean Female Unemployment
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Immigrants from Hong Kong
Chilean
Female Unemployment
Female Unemployment Comparison
Immigrants from Hong Kong
Chileans
5.1%
FEMALE UNEMPLOYMENT
84.8/ 100
METRIC RATING
133rd/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
85.8/ 100
METRIC RATING
128th/ 347
METRIC RANK
Immigrants from Hong Kong vs Chilean Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 253,623,871 people shows no correlation between the proportion of Immigrants from Hong Kong and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.041 and weighted average of 5.1%. Similarly, the statistical analysis conducted on geographies consisting of 256,253,866 people shows a strong positive correlation between the proportion of Chileans and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.744 and weighted average of 5.1%, a difference of 0.13%.

Female Unemployment Correlation Summary
Measurement | Immigrants from Hong Kong | Chilean |
Minimum | 0.90% | 1.5% |
Maximum | 13.8% | 51.2% |
Range | 12.9% | 49.7% |
Mean | 5.0% | 7.5% |
Median | 4.9% | 5.0% |
Interquartile 25% (IQ1) | 4.3% | 4.1% |
Interquartile 75% (IQ3) | 5.6% | 6.9% |
Interquartile Range (IQR) | 1.3% | 2.8% |
Standard Deviation (Sample) | 1.6% | 8.3% |
Standard Deviation (Population) | 1.6% | 8.2% |
Demographics Similar to Immigrants from Hong Kong and Chileans by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Immigrants from Hong Kong are Immigrants from Sri Lanka (5.1%, a difference of 0.020%), Immigrants from Eritrea (5.1%, a difference of 0.020%), Immigrants from Latvia (5.1%, a difference of 0.030%), Immigrants from Ethiopia (5.1%, a difference of 0.070%), and Indian (Asian) (5.1%, a difference of 0.070%). Similarly, the demographic groups most similar to Chileans are Ethiopian (5.1%, a difference of 0.010%), Immigrants from Hungary (5.1%, a difference of 0.030%), Maltese (5.1%, a difference of 0.040%), Immigrants from Ethiopia (5.1%, a difference of 0.060%), and Immigrants from Korea (5.1%, a difference of 0.070%).
Demographics | Rating | Rank | Female Unemployment |
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% |
Immigrants | France | 82.7 /100 | #140 | Excellent 5.1% |