Maltese vs Immigrants from Ethiopia Female Unemployment
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Maltese
Immigrants from Ethiopia
Female Unemployment
Female Unemployment Comparison
Maltese
Immigrants from Ethiopia
5.1%
FEMALE UNEMPLOYMENT
85.5/ 100
METRIC RATING
130th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
85.4/ 100
METRIC RATING
131st/ 347
METRIC RANK
Maltese vs Immigrants from Ethiopia 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 211,284,920 people shows a significant positive correlation between the proportion of Immigrants from Ethiopia and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.695 and weighted average of 5.1%, a difference of 0.020%.
Female Unemployment Correlation Summary
| Measurement | Maltese | Immigrants from Ethiopia |
| Minimum | 0.70% | 3.1% |
| Maximum | 15.8% | 68.1% |
| Range | 15.1% | 65.0% |
| Mean | 5.9% | 6.8% |
| Median | 5.0% | 5.3% |
| Interquartile 25% (IQ1) | 4.1% | 4.5% |
| Interquartile 75% (IQ3) | 7.7% | 6.2% |
| Interquartile Range (IQR) | 3.6% | 1.7% |
| Standard Deviation (Sample) | 3.3% | 8.9% |
| Standard Deviation (Population) | 3.2% | 8.8% |
Demographics Similar to Maltese and Immigrants from Ethiopia by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Maltese are 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%), Immigrants from Sri Lanka (5.1%, a difference of 0.070%), and Immigrants from Hong Kong (5.1%, a difference of 0.090%). Similarly, the demographic groups most similar to Immigrants from Ethiopia are Ethiopian (5.1%, a difference of 0.050%), Immigrants from Sri Lanka (5.1%, a difference of 0.050%), Chilean (5.1%, a difference of 0.060%), Immigrants from Hong Kong (5.1%, a difference of 0.070%), and Immigrants from Hungary (5.1%, a difference of 0.080%).
| 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% |