Pakistani Unemployment Among Ages 30 to 34 years
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Unemployment Among Ages 30 to 34 years
Pakistani Unemployment Among Ages 30 to 34 years
5.4%
UNEMPLOYMENT | 30 TO 34 YEARS
74.6/ 100
METRIC RATING
136th/ 347
METRIC RANK
Pakistani Unemployment Among Ages 30 to 34 years Correlation Chart
The statistical analysis conducted on geographies consisting of 320,853,803 people shows a substantial positive correlation between the proportion of Pakistanis and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.566 and weighted average of 5.4%. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is an increase of 3.5% in unemployment rate among population between the ages 30 and 34.
It is essential to understand that the correlation between the percentage of Pakistanis and unemployment rate among population between the ages 30 and 34 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 unemployment rate among population between the ages 30 and 34 within an area, or if Pakistanis simply ended up residing in those areas with higher or lower levels of unemployment rate among population between the ages 30 and 34 due to other factors.
Demographics Similar to Pakistanis by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Pakistanis are Immigrants from Canada (5.4%, a difference of 0.0%), Palestinian (5.4%, a difference of 0.050%), Serbian (5.4%, a difference of 0.16%), Bangladeshi (5.3%, a difference of 0.19%), and Lithuanian (5.4%, a difference of 0.20%).
| Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
| Poles | 78.8 /100 | #129 | Good 5.3% |
| Germans | 77.8 /100 | #130 | Good 5.3% |
| Immigrants from Eastern Europe | 77.4 /100 | #131 | Good 5.3% |
| Carpatho Rusyns | 77.3 /100 | #132 | Good 5.3% |
| Immigrants from Northern Europe | 77.3 /100 | #133 | Good 5.3% |
| Bangladeshis | 76.6 /100 | #134 | Good 5.3% |
| Palestinians | 75.1 /100 | #135 | Good 5.4% |
| Pakistanis | 74.6 /100 | #136 | Good 5.4% |
| Immigrants from Canada | 74.6 /100 | #137 | Good 5.4% |
| Serbians | 72.9 /100 | #138 | Good 5.4% |
| Lithuanians | 72.4 /100 | #139 | Good 5.4% |
| Immigrants from North America | 72.2 /100 | #140 | Good 5.4% |
| Immigrants from Europe | 72.1 /100 | #141 | Good 5.4% |
| Immigrants from Greece | 72.0 /100 | #142 | Good 5.4% |
| Russians | 71.1 /100 | #143 | Good 5.4% |
Pakistani Unemployment Among Ages 30 to 34 years Correlation Summary
| Measurement | Pakistani Data | Unemployment Among Ages 30 to 34 years Data |
| Minimum | 0.034% | 3.1% |
| Maximum | 5.8% | 40.0% |
| Range | 5.8% | 36.9% |
| Mean | 2.0% | 9.4% |
| Median | 1.7% | 5.6% |
| Interquartile 25% (IQ1) | 0.87% | 5.0% |
| Interquartile 75% (IQ3) | 2.7% | 9.6% |
| Interquartile Range (IQR) | 1.9% | 4.6% |
| Standard Deviation (Sample) | 1.4% | 8.9% |
| Standard Deviation (Population) | 1.4% | 8.8% |
Correlation Details
| Pakistani Percentile | Sample Size | Unemployment Among Ages 30 to 34 years |
[ 0.0% - 0.5% ] 0.034% | 87,307,172 | 5.4% |
[ 0.0% - 0.5% ] 0.091% | 90,858,799 | 5.3% |
[ 0.0% - 0.5% ] 0.15% | 45,723,767 | 5.0% |
[ 0.0% - 0.5% ] 0.21% | 32,377,604 | 4.9% |
[ 0.0% - 0.5% ] 0.28% | 17,660,921 | 5.2% |
[ 0.0% - 0.5% ] 0.34% | 15,943,401 | 5.5% |
[ 0.0% - 0.5% ] 0.40% | 7,805,218 | 5.1% |
[ 0.0% - 0.5% ] 0.46% | 6,514,067 | 5.7% |
[ 0.5% - 1.0% ] 0.52% | 3,846,508 | 6.5% |
[ 0.5% - 1.0% ] 0.59% | 2,852,396 | 5.0% |
[ 0.5% - 1.0% ] 0.65% | 2,000,428 | 4.0% |
[ 0.5% - 1.0% ] 0.72% | 1,598,626 | 5.7% |
[ 0.5% - 1.0% ] 0.77% | 1,054,512 | 6.3% |
[ 0.5% - 1.0% ] 0.83% | 1,021,794 | 5.0% |
[ 0.5% - 1.0% ] 0.90% | 725,437 | 5.5% |
[ 0.5% - 1.0% ] 0.95% | 632,557 | 4.5% |
[ 1.0% - 1.5% ] 1.02% | 356,843 | 7.8% |
[ 1.0% - 1.5% ] 1.08% | 207,460 | 4.2% |
[ 1.0% - 1.5% ] 1.15% | 173,929 | 5.2% |
[ 1.0% - 1.5% ] 1.21% | 256,789 | 7.4% |
[ 1.0% - 1.5% ] 1.26% | 195,965 | 5.0% |
[ 1.0% - 1.5% ] 1.32% | 213,618 | 3.4% |
[ 1.0% - 1.5% ] 1.39% | 227,186 | 5.5% |
[ 1.0% - 1.5% ] 1.46% | 164,987 | 8.4% |
[ 1.5% - 2.0% ] 1.51% | 244,146 | 5.4% |
[ 1.5% - 2.0% ] 1.57% | 90,422 | 7.2% |
[ 1.5% - 2.0% ] 1.64% | 125,829 | 6.4% |
[ 1.5% - 2.0% ] 1.70% | 120,743 | 7.1% |
[ 1.5% - 2.0% ] 1.79% | 164,164 | 8.9% |
[ 1.5% - 2.0% ] 1.84% | 63,691 | 5.5% |
[ 1.5% - 2.0% ] 1.88% | 42,841 | 4.7% |
[ 1.5% - 2.0% ] 1.97% | 34,033 | 9.6% |
[ 2.0% - 2.5% ] 2.01% | 40,745 | 4.9% |
[ 2.0% - 2.5% ] 2.08% | 3,454 | 9.9% |
[ 2.0% - 2.5% ] 2.13% | 46,822 | 10.7% |
[ 2.0% - 2.5% ] 2.18% | 4,765 | 4.7% |
[ 2.0% - 2.5% ] 2.27% | 19,204 | 4.1% |
[ 2.0% - 2.5% ] 2.39% | 4,343 | 5.8% |
[ 2.0% - 2.5% ] 2.43% | 2,964 | 4.5% |
[ 2.5% - 3.0% ] 2.50% | 8,831 | 3.1% |
[ 2.5% - 3.0% ] 2.56% | 3,670 | 9.7% |
[ 2.5% - 3.0% ] 2.71% | 2,803 | 12.0% |
[ 2.5% - 3.0% ] 2.74% | 53,561 | 3.1% |
[ 2.5% - 3.0% ] 2.79% | 502 | 11.1% |
[ 3.0% - 3.5% ] 3.00% | 233 | 33.3% |
[ 3.0% - 3.5% ] 3.08% | 12,385 | 21.7% |
[ 3.0% - 3.5% ] 3.17% | 1,390 | 32.8% |
[ 3.0% - 3.5% ] 3.34% | 449 | 40.0% |
[ 3.5% - 4.0% ] 3.59% | 2,006 | 5.5% |
[ 3.5% - 4.0% ] 3.91% | 15,132 | 9.6% |
[ 4.0% - 4.5% ] 4.26% | 9,234 | 16.0% |
[ 4.0% - 4.5% ] 4.37% | 6,777 | 23.6% |
[ 5.0% - 5.5% ] 5.02% | 2,627 | 3.7% |
[ 5.0% - 5.5% ] 5.19% | 289 | 40.0% |
[ 5.0% - 5.5% ] 5.39% | 1,577 | 7.7% |
[ 5.5% - 6.0% ] 5.80% | 4,187 | 24.5% |