Pakistani vs Immigrants from Korea Female Unemployment
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Pakistani
Immigrants from Korea
Female Unemployment
Female Unemployment Comparison
Pakistanis
Immigrants from Korea
5.1%
FEMALE UNEMPLOYMENT
83.8/ 100
METRIC RATING
137th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
86.3/ 100
METRIC RATING
126th/ 347
METRIC RANK
Pakistani vs Immigrants from Korea 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 414,293,995 people shows a poor negative correlation between the proportion of Immigrants from Korea and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.177 and weighted average of 5.1%, a difference of 0.31%.
Female Unemployment Correlation Summary
| Measurement | Pakistani | Immigrants from Korea |
| Minimum | 1.7% | 2.0% |
| Maximum | 19.5% | 6.9% |
| Range | 17.8% | 4.9% |
| Mean | 5.8% | 5.1% |
| Median | 5.1% | 5.1% |
| Interquartile 25% (IQ1) | 4.6% | 4.7% |
| Interquartile 75% (IQ3) | 6.3% | 5.8% |
| Interquartile Range (IQR) | 1.7% | 1.1% |
| Standard Deviation (Sample) | 3.1% | 1.1% |
| Standard Deviation (Population) | 3.1% | 1.1% |
Demographics Similar to Pakistanis and Immigrants from Korea 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 Immigrants from Korea are Basque (5.1%, a difference of 0.020%), Immigrants from Hungary (5.1%, a difference of 0.040%), Chilean (5.1%, a difference of 0.070%), Ethiopian (5.1%, a difference of 0.080%), and Maltese (5.1%, a difference of 0.10%).
| 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% |