Pakistani In Labor Force | Age 20-64
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In Labor Force | Age 20-64
Pakistani In Labor Force | Age 20-64
79.8%
IN LABOR FORCE | AGE 20-64
79.3/ 100
METRIC RATING
145th/ 347
METRIC RANK
Pakistani In Labor Force | Age 20-64 Correlation Chart
The statistical analysis conducted on geographies consisting of 335,365,372 people shows no correlation between the proportion of Pakistanis and labor force participation rate among population between the ages 20 and 64 in the United States with a correlation coefficient (R) of 0.035 and weighted average of 79.8%. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is an increase of 0.082% in labor force participation rate among population between the ages 20 and 64.
It is essential to understand that the correlation between the percentage of Pakistanis and labor force participation rate among population between the ages 20 and 64 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 labor force participation rate among population between the ages 20 and 64 within an area, or if Pakistanis simply ended up residing in those areas with higher or lower levels of labor force participation rate among population between the ages 20 and 64 due to other factors.
Demographics Similar to Pakistanis by In Labor Force | Age 20-64
In terms of in labor force | age 20-64, the demographic groups most similar to Pakistanis are Korean (79.8%, a difference of 0.0%), Immigrants from Southern Europe (79.8%, a difference of 0.0%), Immigrants from South Eastern Asia (79.8%, a difference of 0.010%), Immigrants from Israel (79.8%, a difference of 0.010%), and Slovak (79.8%, a difference of 0.010%).
| Demographics | Rating | Rank | In Labor Force | Age 20-64 |
| Immigrants from Nigeria | 86.4 /100 | #138 | Excellent 79.9% |
| Immigrants from Spain | 83.9 /100 | #139 | Excellent 79.8% |
| Immigrants from South Eastern Asia | 80.4 /100 | #140 | Excellent 79.8% |
| Immigrants from Israel | 80.0 /100 | #141 | Good 79.8% |
| Slovaks | 79.9 /100 | #142 | Good 79.8% |
| Immigrants from Sweden | 79.7 /100 | #143 | Good 79.8% |
| Koreans | 79.6 /100 | #144 | Good 79.8% |
| Pakistanis | 79.3 /100 | #145 | Good 79.8% |
| Immigrants from Southern Europe | 78.9 /100 | #146 | Good 79.8% |
| Immigrants from Philippines | 78.0 /100 | #147 | Good 79.8% |
| Romanians | 77.6 /100 | #148 | Good 79.8% |
| Icelanders | 75.1 /100 | #149 | Good 79.7% |
| Costa Ricans | 72.4 /100 | #150 | Good 79.7% |
| Scandinavians | 72.0 /100 | #151 | Good 79.7% |
| Immigrants from Northern Europe | 72.0 /100 | #152 | Good 79.7% |
Pakistani In Labor Force | Age 20-64 Correlation Summary
| Measurement | Pakistani Data | In Labor Force | Age 20-64 Data |
| Minimum | 0.034% | 50.0% |
| Maximum | 17.9% | 100.0% |
| Range | 17.8% | 50.0% |
| Mean | 4.1% | 78.2% |
| Median | 3.2% | 79.8% |
| Interquartile 25% (IQ1) | 1.6% | 76.4% |
| Interquartile 75% (IQ3) | 5.8% | 81.4% |
| Interquartile Range (IQR) | 4.2% | 5.0% |
| Standard Deviation (Sample) | 3.5% | 8.2% |
| Standard Deviation (Population) | 3.4% | 8.1% |
Correlation Details
| Pakistani Percentile | Sample Size | In Labor Force | Age 20-64 |
[ 0.0% - 0.5% ] 0.034% | 90,064,799 | 78.6% |
[ 0.0% - 0.5% ] 0.091% | 93,800,240 | 79.1% |
[ 0.0% - 0.5% ] 0.15% | 47,669,968 | 80.0% |
[ 0.0% - 0.5% ] 0.21% | 33,694,163 | 80.5% |
[ 0.0% - 0.5% ] 0.28% | 18,782,769 | 80.3% |
[ 0.0% - 0.5% ] 0.34% | 16,639,426 | 79.2% |
[ 0.0% - 0.5% ] 0.40% | 8,479,105 | 80.0% |
[ 0.0% - 0.5% ] 0.46% | 6,993,987 | 79.8% |
[ 0.5% - 1.0% ] 0.52% | 4,153,060 | 80.1% |
[ 0.5% - 1.0% ] 0.59% | 3,080,272 | 80.4% |
[ 0.5% - 1.0% ] 0.65% | 2,242,509 | 80.8% |
[ 0.5% - 1.0% ] 0.72% | 1,925,598 | 79.8% |
[ 0.5% - 1.0% ] 0.77% | 1,317,313 | 78.9% |
[ 0.5% - 1.0% ] 0.83% | 1,147,157 | 79.9% |
[ 0.5% - 1.0% ] 0.90% | 863,852 | 79.9% |
[ 0.5% - 1.0% ] 0.95% | 752,692 | 80.6% |
[ 1.0% - 1.5% ] 1.02% | 423,632 | 77.9% |
[ 1.0% - 1.5% ] 1.08% | 293,632 | 79.7% |
[ 1.0% - 1.5% ] 1.14% | 231,179 | 81.1% |
[ 1.0% - 1.5% ] 1.21% | 305,694 | 79.2% |
[ 1.0% - 1.5% ] 1.26% | 261,627 | 80.5% |
[ 1.0% - 1.5% ] 1.32% | 235,940 | 80.9% |
[ 1.0% - 1.5% ] 1.39% | 285,454 | 77.9% |
[ 1.0% - 1.5% ] 1.46% | 187,114 | 81.4% |
[ 1.5% - 2.0% ] 1.51% | 260,747 | 81.6% |
[ 1.5% - 2.0% ] 1.57% | 138,478 | 82.1% |
[ 1.5% - 2.0% ] 1.64% | 146,283 | 79.8% |
[ 1.5% - 2.0% ] 1.70% | 151,933 | 79.1% |
[ 1.5% - 2.0% ] 1.78% | 188,869 | 80.4% |
[ 1.5% - 2.0% ] 1.83% | 74,625 | 79.1% |
[ 1.5% - 2.0% ] 1.89% | 54,729 | 84.2% |
[ 1.5% - 2.0% ] 1.96% | 52,852 | 72.0% |
[ 2.0% - 2.5% ] 2.01% | 53,593 | 80.2% |
[ 2.0% - 2.5% ] 2.08% | 17,410 | 79.2% |
[ 2.0% - 2.5% ] 2.13% | 66,168 | 76.4% |
[ 2.0% - 2.5% ] 2.21% | 24,707 | 78.0% |
[ 2.0% - 2.5% ] 2.27% | 25,953 | 81.2% |
[ 2.0% - 2.5% ] 2.31% | 1,038 | 83.5% |
[ 2.0% - 2.5% ] 2.39% | 14,274 | 78.0% |
[ 2.0% - 2.5% ] 2.45% | 10,378 | 64.3% |
[ 2.5% - 3.0% ] 2.50% | 9,108 | 88.6% |
[ 2.5% - 3.0% ] 2.56% | 15,140 | 79.2% |
[ 2.5% - 3.0% ] 2.64% | 6,588 | 84.6% |
[ 2.5% - 3.0% ] 2.70% | 5,768 | 81.2% |
[ 2.5% - 3.0% ] 2.74% | 58,031 | 82.7% |
[ 2.5% - 3.0% ] 2.80% | 1,357 | 80.8% |
[ 2.5% - 3.0% ] 2.88% | 11,457 | 85.6% |
[ 2.5% - 3.0% ] 2.95% | 746 | 50.0% |
[ 3.0% - 3.5% ] 3.00% | 3,828 | 72.1% |
[ 3.0% - 3.5% ] 3.07% | 17,806 | 76.7% |
[ 3.0% - 3.5% ] 3.13% | 15,816 | 83.4% |
[ 3.0% - 3.5% ] 3.18% | 3,113 | 76.4% |
[ 3.0% - 3.5% ] 3.33% | 2,762 | 78.7% |
[ 3.0% - 3.5% ] 3.43% | 4,085 | 76.4% |
[ 3.5% - 4.0% ] 3.51% | 1,452 | 87.0% |
[ 3.5% - 4.0% ] 3.59% | 3,373 | 82.7% |
[ 3.5% - 4.0% ] 3.65% | 630 | 81.4% |
[ 3.5% - 4.0% ] 3.69% | 1,002 | 69.4% |
[ 3.5% - 4.0% ] 3.75% | 587 | 87.1% |
[ 3.5% - 4.0% ] 3.80% | 15,200 | 77.1% |
[ 3.5% - 4.0% ] 3.87% | 1,033 | 86.0% |
[ 3.5% - 4.0% ] 3.91% | 16,277 | 68.6% |
[ 4.0% - 4.5% ] 4.13% | 1,478 | 76.1% |
[ 4.0% - 4.5% ] 4.25% | 10,278 | 71.3% |
[ 4.0% - 4.5% ] 4.31% | 4,503 | 78.1% |
[ 4.0% - 4.5% ] 4.37% | 7,757 | 73.9% |
[ 4.0% - 4.5% ] 4.44% | 540 | 71.1% |
[ 4.5% - 5.0% ] 4.55% | 2,243 | 76.7% |
[ 4.5% - 5.0% ] 4.62% | 390 | 78.4% |
[ 4.5% - 5.0% ] 4.67% | 664 | 53.1% |
[ 4.5% - 5.0% ] 4.91% | 468 | 75.7% |
[ 5.0% - 5.5% ] 5.03% | 3,120 | 79.6% |
[ 5.0% - 5.5% ] 5.09% | 216 | 79.1% |
[ 5.0% - 5.5% ] 5.18% | 1,235 | 74.4% |
[ 5.0% - 5.5% ] 5.39% | 1,577 | 83.7% |
[ 5.5% - 6.0% ] 5.59% | 2,898 | 83.7% |
[ 5.5% - 6.0% ] 5.80% | 4,187 | 75.1% |
[ 6.0% - 6.5% ] 6.03% | 564 | 80.4% |
[ 6.0% - 6.5% ] 6.09% | 197 | 89.4% |
[ 6.0% - 6.5% ] 6.14% | 114 | 66.2% |
[ 6.0% - 6.5% ] 6.24% | 1,217 | 69.0% |
[ 6.0% - 6.5% ] 6.33% | 158 | 83.1% |
[ 6.0% - 6.5% ] 6.40% | 250 | 69.2% |
[ 6.5% - 7.0% ] 6.87% | 262 | 66.9% |
[ 7.0% - 7.5% ] 7.27% | 1,086 | 81.1% |
[ 7.0% - 7.5% ] 7.33% | 2,647 | 81.1% |
[ 7.5% - 8.0% ] 7.81% | 1,268 | 61.3% |
[ 8.0% - 8.5% ] 8.14% | 467 | 59.8% |
[ 8.0% - 8.5% ] 8.22% | 73 | 60.8% |
[ 8.0% - 8.5% ] 8.28% | 483 | 58.7% |
[ 8.0% - 8.5% ] 8.47% | 177 | 90.1% |
[ 8.5% - 9.0% ] 8.58% | 536 | 80.3% |
[ 8.5% - 9.0% ] 8.61% | 360 | 86.1% |
[ 9.0% - 9.5% ] 9.35% | 2,332 | 91.0% |
[ 9.0% - 9.5% ] 9.38% | 96 | 75.5% |
[ 9.5% - 10.0% ] 9.76% | 1,475 | 80.0% |
[ 9.5% - 10.0% ] 9.84% | 183 | 64.7% |
[ 11.0% - 11.5% ] 11.24% | 169 | 93.6% |
[ 12.0% - 12.5% ] 12.39% | 557 | 92.6% |
[ 12.5% - 13.0% ] 12.87% | 404 | 59.8% |
[ 15.5% - 16.0% ] 15.86% | 309 | 92.7% |
[ 17.5% - 18.0% ] 17.86% | 56 | 100.0% |