Pakistani Unemployment Among Ages 16 to 19 years
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Unemployment Among Ages 16 to 19 years
Pakistani Unemployment Among Ages 16 to 19 years
17.2%
UNEMPLOYMENT | 16 TO 19 YEARS
85.8/ 100
METRIC RATING
127th/ 347
METRIC RANK
Pakistani Unemployment Among Ages 16 to 19 years Correlation Chart
The statistical analysis conducted on geographies consisting of 322,866,087 people shows a strong positive correlation between the proportion of Pakistanis and unemployment rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.736 and weighted average of 17.2%. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is an increase of 6.4% in unemployment rate among population between the ages 16 and 19.
It is essential to understand that the correlation between the percentage of Pakistanis and unemployment rate among population between the ages 16 and 19 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 16 and 19 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 16 and 19 due to other factors.
Demographics Similar to Pakistanis by Unemployment Among Ages 16 to 19 years
In terms of unemployment among ages 16 to 19 years, the demographic groups most similar to Pakistanis are Australian (17.2%, a difference of 0.020%), Creek (17.2%, a difference of 0.030%), Immigrants from Bolivia (17.2%, a difference of 0.10%), Immigrants from Indonesia (17.2%, a difference of 0.10%), and German Russian (17.2%, a difference of 0.16%).
Demographics | Rating | Rank | Unemployment Among Ages 16 to 19 years |
Immigrants from Middle Africa | 90.9 /100 | #120 | Exceptional 17.1% |
Immigrants from Moldova | 90.7 /100 | #121 | Exceptional 17.1% |
Immigrants from South Eastern Asia | 90.7 /100 | #122 | Exceptional 17.1% |
Immigrants from Laos | 88.8 /100 | #123 | Excellent 17.1% |
Syrians | 88.6 /100 | #124 | Excellent 17.1% |
Immigrants from Germany | 87.7 /100 | #125 | Excellent 17.2% |
Immigrants from Bolivia | 86.7 /100 | #126 | Excellent 17.2% |
Pakistanis | 85.8 /100 | #127 | Excellent 17.2% |
Australians | 85.6 /100 | #128 | Excellent 17.2% |
Creek | 85.5 /100 | #129 | Excellent 17.2% |
Immigrants from Indonesia | 84.7 /100 | #130 | Excellent 17.2% |
German Russians | 84.1 /100 | #131 | Excellent 17.2% |
Arabs | 83.9 /100 | #132 | Excellent 17.2% |
Laotians | 83.9 /100 | #133 | Excellent 17.2% |
Potawatomi | 83.8 /100 | #134 | Excellent 17.2% |
Pakistani Unemployment Among Ages 16 to 19 years Correlation Summary
Measurement | Pakistani Data | Unemployment Among Ages 16 to 19 years Data |
Minimum | 0.034% | 10.7% |
Maximum | 15.9% | 100.0% |
Range | 15.8% | 89.3% |
Mean | 2.9% | 30.8% |
Median | 2.1% | 19.2% |
Interquartile 25% (IQ1) | 1.0% | 16.3% |
Interquartile 75% (IQ3) | 3.7% | 31.6% |
Interquartile Range (IQR) | 2.6% | 15.3% |
Standard Deviation (Sample) | 2.9% | 24.8% |
Standard Deviation (Population) | 2.8% | 24.6% |
Correlation Details
Pakistani Percentile | Sample Size | Unemployment Among Ages 16 to 19 years |
[ 0.0% - 0.5% ] 0.034% | 88,396,656 | 16.5% |
[ 0.0% - 0.5% ] 0.091% | 91,161,576 | 17.6% |
[ 0.0% - 0.5% ] 0.15% | 45,772,290 | 16.7% |
[ 0.0% - 0.5% ] 0.21% | 32,288,216 | 16.1% |
[ 0.0% - 0.5% ] 0.28% | 17,962,481 | 16.5% |
[ 0.0% - 0.5% ] 0.34% | 16,121,750 | 17.7% |
[ 0.0% - 0.5% ] 0.40% | 7,980,030 | 15.5% |
[ 0.0% - 0.5% ] 0.46% | 6,377,758 | 15.8% |
[ 0.5% - 1.0% ] 0.52% | 3,762,867 | 16.3% |
[ 0.5% - 1.0% ] 0.59% | 2,849,763 | 16.6% |
[ 0.5% - 1.0% ] 0.65% | 2,037,504 | 16.1% |
[ 0.5% - 1.0% ] 0.72% | 1,695,477 | 19.2% |
[ 0.5% - 1.0% ] 0.77% | 1,183,844 | 19.3% |
[ 0.5% - 1.0% ] 0.83% | 949,249 | 15.9% |
[ 0.5% - 1.0% ] 0.90% | 733,615 | 20.8% |
[ 0.5% - 1.0% ] 0.95% | 620,080 | 17.7% |
[ 1.0% - 1.5% ] 1.02% | 330,557 | 18.8% |
[ 1.0% - 1.5% ] 1.08% | 219,529 | 15.2% |
[ 1.0% - 1.5% ] 1.14% | 179,445 | 28.7% |
[ 1.0% - 1.5% ] 1.21% | 289,448 | 15.2% |
[ 1.0% - 1.5% ] 1.26% | 204,316 | 22.3% |
[ 1.0% - 1.5% ] 1.32% | 215,119 | 19.3% |
[ 1.0% - 1.5% ] 1.40% | 206,029 | 14.7% |
[ 1.0% - 1.5% ] 1.46% | 146,099 | 14.6% |
[ 1.5% - 2.0% ] 1.51% | 230,858 | 24.1% |
[ 1.5% - 2.0% ] 1.57% | 110,334 | 16.6% |
[ 1.5% - 2.0% ] 1.64% | 110,317 | 24.6% |
[ 1.5% - 2.0% ] 1.71% | 124,082 | 14.4% |
[ 1.5% - 2.0% ] 1.78% | 177,090 | 16.2% |
[ 1.5% - 2.0% ] 1.84% | 37,733 | 24.9% |
[ 1.5% - 2.0% ] 1.88% | 42,529 | 22.8% |
[ 1.5% - 2.0% ] 1.96% | 42,708 | 15.1% |
[ 2.0% - 2.5% ] 2.01% | 38,625 | 26.0% |
[ 2.0% - 2.5% ] 2.13% | 63,756 | 13.2% |
[ 2.0% - 2.5% ] 2.22% | 19,942 | 17.6% |
[ 2.0% - 2.5% ] 2.27% | 20,083 | 31.6% |
[ 2.0% - 2.5% ] 2.39% | 9,466 | 28.4% |
[ 2.0% - 2.5% ] 2.44% | 5,530 | 20.4% |
[ 2.5% - 3.0% ] 2.50% | 8,831 | 11.5% |
[ 2.5% - 3.0% ] 2.56% | 3,670 | 29.7% |
[ 2.5% - 3.0% ] 2.71% | 2,616 | 17.5% |
[ 2.5% - 3.0% ] 2.74% | 54,696 | 53.0% |
[ 2.5% - 3.0% ] 2.88% | 1,111 | 59.6% |
[ 3.0% - 3.5% ] 3.01% | 3,194 | 41.1% |
[ 3.0% - 3.5% ] 3.06% | 4,179 | 10.7% |
[ 3.0% - 3.5% ] 3.13% | 13,323 | 18.5% |
[ 3.0% - 3.5% ] 3.17% | 2,363 | 17.2% |
[ 3.0% - 3.5% ] 3.34% | 1,916 | 91.2% |
[ 3.5% - 4.0% ] 3.59% | 2,006 | 16.1% |
[ 3.5% - 4.0% ] 3.66% | 328 | 18.2% |
[ 3.5% - 4.0% ] 3.79% | 10,991 | 19.6% |
[ 3.5% - 4.0% ] 3.91% | 15,132 | 19.3% |
[ 4.0% - 4.5% ] 4.14% | 1,112 | 66.7% |
[ 4.0% - 4.5% ] 4.26% | 7,581 | 28.9% |
[ 4.0% - 4.5% ] 4.36% | 5,570 | 82.6% |
[ 4.5% - 5.0% ] 4.55% | 2,111 | 19.1% |
[ 4.5% - 5.0% ] 4.62% | 390 | 33.3% |
[ 5.5% - 6.0% ] 5.80% | 4,187 | 82.6% |
[ 6.0% - 6.5% ] 6.24% | 673 | 54.5% |
[ 7.0% - 7.5% ] 7.33% | 1,282 | 46.4% |
[ 8.0% - 8.5% ] 8.14% | 467 | 41.9% |
[ 8.0% - 8.5% ] 8.28% | 483 | 100.0% |
[ 8.5% - 9.0% ] 8.58% | 536 | 100.0% |
[ 9.0% - 9.5% ] 9.38% | 96 | 100.0% |
[ 9.5% - 10.0% ] 9.84% | 183 | 33.3% |
[ 15.5% - 16.0% ] 15.86% | 309 | 100.0% |