Pakistani vs Indian (Asian) Female Unemployment
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Pakistani
Indian (Asian)
Female Unemployment
Female Unemployment Comparison
Pakistanis
Indians (Asian)
5.1%
FEMALE UNEMPLOYMENT
83.8/ 100
METRIC RATING
137th/ 347
METRIC RANK
5.1%
FEMALE UNEMPLOYMENT
84.2/ 100
METRIC RATING
136th/ 347
METRIC RANK
Pakistani vs Indian (Asian) 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 491,024,006 people shows a poor positive correlation between the proportion of Indians (Asian) and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.104 and weighted average of 5.1%, a difference of 0.040%.
Female Unemployment Correlation Summary
| Measurement | Pakistani | Indian (Asian) |
| Minimum | 1.7% | 2.9% |
| Maximum | 19.5% | 7.6% |
| Range | 17.8% | 4.8% |
| Mean | 5.8% | 5.0% |
| Median | 5.1% | 4.9% |
| Interquartile 25% (IQ1) | 4.6% | 4.5% |
| Interquartile 75% (IQ3) | 6.3% | 5.5% |
| Interquartile Range (IQR) | 1.7% | 0.98% |
| Standard Deviation (Sample) | 3.1% | 0.84% |
| Standard Deviation (Population) | 3.1% | 0.84% |
Demographics Similar to Pakistanis and Indians (Asian) by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Pakistanis are 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%), Immigrants from Latvia (5.1%, a difference of 0.090%), and Immigrants from Hong Kong (5.1%, a difference of 0.11%). Similarly, the demographic groups most similar to Indians (Asian) are Immigrants from Eritrea (5.1%, a difference of 0.050%), Immigrants from Latvia (5.1%, a difference of 0.050%), Immigrants from Hong Kong (5.1%, a difference of 0.070%), Immigrants from Sri Lanka (5.1%, a difference of 0.090%), and Chickasaw (5.1%, a difference of 0.11%).
| Demographics | Rating | Rank | Female Unemployment |
| 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% |
| Immigrants | Jordan | 80.4 /100 | #144 | Excellent 5.1% |
| Immigrants | Oceania | 79.5 /100 | #145 | Good 5.2% |
| Immigrants | Norway | 79.4 /100 | #146 | Good 5.2% |