Pakistani vs Maltese Female Unemployment
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Pakistani
Maltese
Female Unemployment
Female Unemployment Comparison
Pakistanis
Maltese
5.1%
FEMALE UNEMPLOYMENT
83.8/ 100
METRIC RATING
137th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
85.5/ 100
METRIC RATING
130th/ 347
METRIC RANK
Pakistani vs Maltese Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 334,292,014 people shows no correlation between the proportion of Pakistanis and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.002 and weighted average of 5.1%. Similarly, 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%, a difference of 0.20%.

Female Unemployment Correlation Summary
Measurement | Pakistani | Maltese |
Minimum | 1.7% | 0.70% |
Maximum | 19.5% | 15.8% |
Range | 17.8% | 15.1% |
Mean | 5.8% | 5.9% |
Median | 5.1% | 5.0% |
Interquartile 25% (IQ1) | 4.6% | 4.1% |
Interquartile 75% (IQ3) | 6.3% | 7.7% |
Interquartile Range (IQR) | 1.7% | 3.6% |
Standard Deviation (Sample) | 3.1% | 3.3% |
Standard Deviation (Population) | 3.1% | 3.2% |
Demographics Similar to Pakistanis and Maltese by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Pakistanis are Indian (Asian) (5.1%, a difference of 0.040%), Chickasaw (5.1%, a difference of 0.060%), Immigrants from Eastern Asia (5.1%, a difference of 0.080%), Immigrants from Eritrea (5.1%, a difference of 0.090%), and Immigrants from Latvia (5.1%, a difference of 0.090%). Similarly, 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%).
Demographics | Rating | Rank | Female Unemployment |
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% |
Palestinians | 80.8 /100 | #142 | Excellent 5.1% |
Immigrants | Kazakhstan | 80.7 /100 | #143 | Excellent 5.1% |