Pakistani Female Unemployment
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Pakistani
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Female Unemployment
Pakistani Female Unemployment
5.1%
UNEMPLOYMENT | FEMALES
83.8/ 100
METRIC RATING
137th/ 347
METRIC RANK
Pakistani 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%. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is an increase of 0.0019% in unemploymnet rate among females.
It is essential to understand that the correlation between the percentage of Pakistanis and unemploymnet rate among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Pakistanis influences an upward or downward trend in the level of unemploymnet rate among females within an area, or if Pakistanis simply ended up residing in those areas with higher or lower levels of unemploymnet rate among females due to other factors.
Demographics Similar to Pakistanis 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%).
| Demographics | Rating | Rank | Female Unemployment |
| Maltese | 85.5 /100 | #130 | Excellent 5.1% |
| Immigrants from Ethiopia | 85.4 /100 | #131 | Excellent 5.1% |
| Immigrants from Sri Lanka | 85.0 /100 | #132 | Excellent 5.1% |
| Immigrants from Hong Kong | 84.8 /100 | #133 | Excellent 5.1% |
| Immigrants from Eritrea | 84.6 /100 | #134 | Excellent 5.1% |
| Immigrants from 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 from Eastern Asia | 83.0 /100 | #139 | Excellent 5.1% |
| Immigrants from France | 82.7 /100 | #140 | Excellent 5.1% |
| Immigrants from Eastern Europe | 81.5 /100 | #141 | Excellent 5.1% |
| Palestinians | 80.8 /100 | #142 | Excellent 5.1% |
| Immigrants from Kazakhstan | 80.7 /100 | #143 | Excellent 5.1% |
| Immigrants from Jordan | 80.4 /100 | #144 | Excellent 5.1% |
Pakistani Female Unemployment Correlation Summary
| Measurement | Pakistani Data | Female Unemployment Data |
| Minimum | 0.034% | 1.7% |
| Maximum | 15.9% | 19.5% |
| Range | 15.8% | 17.8% |
| Mean | 2.8% | 5.8% |
| Median | 2.3% | 5.1% |
| Interquartile 25% (IQ1) | 1.1% | 4.6% |
| Interquartile 75% (IQ3) | 3.7% | 6.3% |
| Interquartile Range (IQR) | 2.6% | 1.7% |
| Standard Deviation (Sample) | 2.5% | 3.1% |
| Standard Deviation (Population) | 2.5% | 3.1% |
Correlation Details
| Pakistani Percentile | Sample Size | Female Unemployment |
[ 0.0% - 0.5% ] 0.034% | 89,964,850 | 5.4% |
[ 0.0% - 0.5% ] 0.091% | 93,654,827 | 5.3% |
[ 0.0% - 0.5% ] 0.15% | 47,548,548 | 5.0% |
[ 0.0% - 0.5% ] 0.21% | 33,640,185 | 4.8% |
[ 0.0% - 0.5% ] 0.28% | 18,715,722 | 4.9% |
[ 0.0% - 0.5% ] 0.34% | 16,607,372 | 5.6% |
[ 0.0% - 0.5% ] 0.40% | 8,437,784 | 4.7% |
[ 0.0% - 0.5% ] 0.46% | 6,936,333 | 5.1% |
[ 0.5% - 1.0% ] 0.52% | 4,092,089 | 5.3% |
[ 0.5% - 1.0% ] 0.59% | 3,040,037 | 5.1% |
[ 0.5% - 1.0% ] 0.65% | 2,208,618 | 4.5% |
[ 0.5% - 1.0% ] 0.72% | 1,882,578 | 5.4% |
[ 0.5% - 1.0% ] 0.77% | 1,303,236 | 5.0% |
[ 0.5% - 1.0% ] 0.83% | 1,137,057 | 5.2% |
[ 0.5% - 1.0% ] 0.90% | 839,614 | 5.1% |
[ 0.5% - 1.0% ] 0.95% | 743,465 | 5.3% |
[ 1.0% - 1.5% ] 1.02% | 403,838 | 5.3% |
[ 1.0% - 1.5% ] 1.08% | 275,739 | 3.8% |
[ 1.0% - 1.5% ] 1.14% | 217,380 | 5.0% |
[ 1.0% - 1.5% ] 1.21% | 292,393 | 5.2% |
[ 1.0% - 1.5% ] 1.26% | 252,325 | 4.8% |
[ 1.0% - 1.5% ] 1.32% | 231,717 | 4.5% |
[ 1.0% - 1.5% ] 1.39% | 275,001 | 4.8% |
[ 1.0% - 1.5% ] 1.46% | 179,926 | 4.7% |
[ 1.5% - 2.0% ] 1.51% | 253,543 | 6.0% |
[ 1.5% - 2.0% ] 1.57% | 126,788 | 6.3% |
[ 1.5% - 2.0% ] 1.64% | 141,132 | 5.1% |
[ 1.5% - 2.0% ] 1.70% | 148,294 | 6.3% |
[ 1.5% - 2.0% ] 1.78% | 184,725 | 5.9% |
[ 1.5% - 2.0% ] 1.84% | 71,411 | 6.5% |
[ 1.5% - 2.0% ] 1.89% | 53,189 | 4.3% |
[ 1.5% - 2.0% ] 1.96% | 50,003 | 4.9% |
[ 2.0% - 2.5% ] 2.01% | 43,391 | 6.1% |
[ 2.0% - 2.5% ] 2.08% | 15,925 | 8.3% |
[ 2.0% - 2.5% ] 2.13% | 57,687 | 7.3% |
[ 2.0% - 2.5% ] 2.21% | 24,707 | 6.1% |
[ 2.0% - 2.5% ] 2.27% | 23,775 | 6.3% |
[ 2.0% - 2.5% ] 2.39% | 5,478 | 5.0% |
[ 2.0% - 2.5% ] 2.44% | 6,802 | 4.8% |
[ 2.5% - 3.0% ] 2.50% | 8,831 | 4.1% |
[ 2.5% - 3.0% ] 2.57% | 11,185 | 6.9% |
[ 2.5% - 3.0% ] 2.64% | 5,082 | 16.4% |
[ 2.5% - 3.0% ] 2.71% | 4,728 | 3.2% |
[ 2.5% - 3.0% ] 2.74% | 58,031 | 5.0% |
[ 2.5% - 3.0% ] 2.80% | 786 | 3.9% |
[ 2.5% - 3.0% ] 2.88% | 7,431 | 6.0% |
[ 3.0% - 3.5% ] 3.01% | 3,194 | 7.7% |
[ 3.0% - 3.5% ] 3.07% | 16,564 | 10.6% |
[ 3.0% - 3.5% ] 3.13% | 13,323 | 2.1% |
[ 3.0% - 3.5% ] 3.17% | 2,363 | 14.3% |
[ 3.0% - 3.5% ] 3.32% | 995 | 7.9% |
[ 3.0% - 3.5% ] 3.42% | 3,417 | 3.6% |
[ 3.5% - 4.0% ] 3.51% | 1,452 | 1.7% |
[ 3.5% - 4.0% ] 3.59% | 3,373 | 1.7% |
[ 3.5% - 4.0% ] 3.66% | 328 | 11.6% |
[ 3.5% - 4.0% ] 3.80% | 15,200 | 6.4% |
[ 3.5% - 4.0% ] 3.90% | 231 | 2.5% |
[ 3.5% - 4.0% ] 3.91% | 15,132 | 2.0% |
[ 4.0% - 4.5% ] 4.14% | 1,112 | 6.2% |
[ 4.0% - 4.5% ] 4.25% | 9,756 | 7.7% |
[ 4.0% - 4.5% ] 4.36% | 5,570 | 7.6% |
[ 4.5% - 5.0% ] 4.55% | 2,111 | 5.0% |
[ 4.5% - 5.0% ] 4.67% | 664 | 19.5% |
[ 4.5% - 5.0% ] 4.91% | 468 | 4.8% |
[ 5.0% - 5.5% ] 5.18% | 1,235 | 4.9% |
[ 5.0% - 5.5% ] 5.39% | 1,577 | 3.6% |
[ 5.5% - 6.0% ] 5.80% | 4,187 | 11.6% |
[ 6.0% - 6.5% ] 6.03% | 564 | 13.0% |
[ 6.0% - 6.5% ] 6.24% | 673 | 4.5% |
[ 7.0% - 7.5% ] 7.33% | 2,647 | 1.9% |
[ 8.5% - 9.0% ] 8.58% | 536 | 5.3% |
[ 9.5% - 10.0% ] 9.76% | 1,475 | 1.8% |
[ 15.5% - 16.0% ] 15.86% | 309 | 2.9% |