Maltese vs Immigrants from Hong Kong Female Unemployment
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Maltese
Immigrants from Hong Kong
Female Unemployment
Female Unemployment Comparison
Maltese
Immigrants from Hong Kong
5.1%
FEMALE UNEMPLOYMENT
85.5/ 100
METRIC RATING
130th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
84.8/ 100
METRIC RATING
133rd/ 347
METRIC RANK
Maltese vs Immigrants from Hong Kong Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 126,272,771 people shows a slight positive correlation between the proportion of Maltese and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.063 and weighted average of 5.1%. Similarly, 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%, a difference of 0.090%.
Female Unemployment Correlation Summary
| Measurement | Maltese | Immigrants from Hong Kong |
| Minimum | 0.70% | 0.90% |
| Maximum | 15.8% | 13.8% |
| Range | 15.1% | 12.9% |
| Mean | 5.9% | 5.0% |
| Median | 5.0% | 4.9% |
| Interquartile 25% (IQ1) | 4.1% | 4.3% |
| Interquartile 75% (IQ3) | 7.7% | 5.6% |
| Interquartile Range (IQR) | 3.6% | 1.3% |
| Standard Deviation (Sample) | 3.3% | 1.6% |
| Standard Deviation (Population) | 3.2% | 1.6% |
Demographics Similar to Maltese and Immigrants from Hong Kong by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Maltese are Immigrants from Ethiopia (5.1%, a difference of 0.020%), Ethiopian (5.1%, a difference of 0.030%), Chilean (5.1%, a difference of 0.040%), Immigrants from Hungary (5.1%, a difference of 0.070%), and Immigrants from Sri Lanka (5.1%, a difference of 0.070%). Similarly, 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%).
| Demographics | Rating | Rank | Female Unemployment |
| 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% |
| Immigrants | Eastern Europe | 81.5 /100 | #141 | Excellent 5.1% |