Pakistani Unemployment Among Seniors over 65 years
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Unemployment Among Seniors over 65 years
Pakistani Unemployment Among Seniors over 65 years
5.1%
UNEMPLOYMENT | SENIORS > 65
75.5/ 100
METRIC RATING
151st/ 347
METRIC RANK
Pakistani Unemployment Among Seniors over 65 years Correlation Chart
The statistical analysis conducted on geographies consisting of 309,020,575 people shows a significant positive correlation between the proportion of Pakistanis and unemployment rate amomg seniors over the age of 65 in the United States with a correlation coefficient (R) of 0.698 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 3.6% in unemployment rate amomg seniors over the age of 65.
It is essential to understand that the correlation between the percentage of Pakistanis and unemployment rate amomg seniors over the age of 65 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 amomg seniors over the age of 65 within an area, or if Pakistanis simply ended up residing in those areas with higher or lower levels of unemployment rate amomg seniors over the age of 65 due to other factors.
Demographics Similar to Pakistanis by Unemployment Among Seniors over 65 years
In terms of unemployment among seniors over 65 years, the demographic groups most similar to Pakistanis are Immigrants from Asia (5.1%, a difference of 0.0%), Canadian (5.1%, a difference of 0.030%), Immigrants from Czechoslovakia (5.1%, a difference of 0.040%), Immigrants from Afghanistan (5.1%, a difference of 0.060%), and Immigrants from Hong Kong (5.1%, a difference of 0.060%).
| Demographics | Rating | Rank | Unemployment Among Seniors over 65 years |
| Poles | 80.3 /100 | #144 | Excellent 5.1% |
| Spanish | 78.8 /100 | #145 | Good 5.1% |
| Immigrants from Russia | 78.5 /100 | #146 | Good 5.1% |
| Slovaks | 77.9 /100 | #147 | Good 5.1% |
| Greeks | 77.0 /100 | #148 | Good 5.1% |
| Immigrants from Afghanistan | 76.8 /100 | #149 | Good 5.1% |
| Immigrants from Asia | 75.6 /100 | #150 | Good 5.1% |
| Pakistanis | 75.5 /100 | #151 | Good 5.1% |
| Canadians | 74.7 /100 | #152 | Good 5.1% |
| Immigrants from Czechoslovakia | 74.5 /100 | #153 | Good 5.1% |
| Immigrants from Hong Kong | 74.0 /100 | #154 | Good 5.1% |
| Basques | 72.9 /100 | #155 | Good 5.1% |
| Immigrants from Romania | 72.4 /100 | #156 | Good 5.1% |
| Immigrants from Northern Europe | 69.8 /100 | #157 | Good 5.1% |
| Immigrants from Belarus | 69.0 /100 | #158 | Good 5.1% |
Pakistani Unemployment Among Seniors over 65 years Correlation Summary
| Measurement | Pakistani Data | Unemployment Among Seniors over 65 years Data |
| Minimum | 0.034% | 0.80% |
| Maximum | 9.8% | 66.6% |
| Range | 9.8% | 65.8% |
| Mean | 2.2% | 9.1% |
| Median | 1.8% | 5.8% |
| Interquartile 25% (IQ1) | 0.87% | 4.8% |
| Interquartile 75% (IQ3) | 2.9% | 10.0% |
| Interquartile Range (IQR) | 2.1% | 5.2% |
| Standard Deviation (Sample) | 2.0% | 10.1% |
| Standard Deviation (Population) | 1.9% | 10.0% |
Correlation Details
| Pakistani Percentile | Sample Size | Unemployment Among Seniors over 65 years |
[ 0.0% - 0.5% ] 0.034% | 84,006,638 | 4.7% |
[ 0.0% - 0.5% ] 0.091% | 88,687,744 | 4.8% |
[ 0.0% - 0.5% ] 0.15% | 43,632,838 | 4.5% |
[ 0.0% - 0.5% ] 0.21% | 31,593,257 | 4.8% |
[ 0.0% - 0.5% ] 0.28% | 16,903,274 | 5.0% |
[ 0.0% - 0.5% ] 0.34% | 15,200,479 | 5.4% |
[ 0.0% - 0.5% ] 0.40% | 7,099,772 | 5.6% |
[ 0.0% - 0.5% ] 0.46% | 6,270,921 | 5.7% |
[ 0.5% - 1.0% ] 0.52% | 3,625,990 | 5.5% |
[ 0.5% - 1.0% ] 0.59% | 2,685,305 | 4.7% |
[ 0.5% - 1.0% ] 0.65% | 1,814,909 | 5.1% |
[ 0.5% - 1.0% ] 0.72% | 1,671,324 | 5.6% |
[ 0.5% - 1.0% ] 0.77% | 1,043,949 | 4.3% |
[ 0.5% - 1.0% ] 0.83% | 1,031,746 | 5.7% |
[ 0.5% - 1.0% ] 0.90% | 695,316 | 5.8% |
[ 0.5% - 1.0% ] 0.95% | 530,327 | 3.7% |
[ 1.0% - 1.5% ] 1.02% | 317,015 | 5.9% |
[ 1.0% - 1.5% ] 1.08% | 200,489 | 6.1% |
[ 1.0% - 1.5% ] 1.15% | 142,586 | 5.3% |
[ 1.0% - 1.5% ] 1.21% | 259,447 | 4.3% |
[ 1.0% - 1.5% ] 1.26% | 173,325 | 3.2% |
[ 1.0% - 1.5% ] 1.32% | 211,033 | 5.8% |
[ 1.0% - 1.5% ] 1.39% | 248,418 | 7.2% |
[ 1.0% - 1.5% ] 1.45% | 150,791 | 8.5% |
[ 1.5% - 2.0% ] 1.51% | 176,775 | 4.5% |
[ 1.5% - 2.0% ] 1.57% | 90,343 | 4.1% |
[ 1.5% - 2.0% ] 1.64% | 104,574 | 6.7% |
[ 1.5% - 2.0% ] 1.70% | 103,192 | 7.4% |
[ 1.5% - 2.0% ] 1.79% | 154,498 | 5.2% |
[ 1.5% - 2.0% ] 1.84% | 15,480 | 7.8% |
[ 1.5% - 2.0% ] 1.88% | 4,841 | 10.7% |
[ 1.5% - 2.0% ] 1.93% | 10,135 | 9.5% |
[ 2.0% - 2.5% ] 2.00% | 17,413 | 7.8% |
[ 2.0% - 2.5% ] 2.08% | 2,310 | 7.6% |
[ 2.0% - 2.5% ] 2.14% | 25,863 | 10.5% |
[ 2.0% - 2.5% ] 2.26% | 4,115 | 7.3% |
[ 2.0% - 2.5% ] 2.40% | 6,338 | 11.3% |
[ 2.0% - 2.5% ] 2.45% | 3,189 | 7.4% |
[ 2.0% - 2.5% ] 2.49% | 3,057 | 5.8% |
[ 2.5% - 3.0% ] 2.56% | 3,670 | 0.80% |
[ 2.5% - 3.0% ] 2.72% | 1,909 | 12.9% |
[ 2.5% - 3.0% ] 2.74% | 54,696 | 10.7% |
[ 2.5% - 3.0% ] 2.88% | 6,494 | 6.0% |
[ 2.5% - 3.0% ] 2.99% | 401 | 17.6% |
[ 3.0% - 3.5% ] 3.07% | 5,242 | 11.6% |
[ 3.0% - 3.5% ] 3.13% | 13,323 | 2.6% |
[ 3.0% - 3.5% ] 3.20% | 750 | 1.8% |
[ 3.0% - 3.5% ] 3.43% | 175 | 42.8% |
[ 3.5% - 4.0% ] 3.75% | 587 | 6.0% |
[ 3.5% - 4.0% ] 3.81% | 1,445 | 14.6% |
[ 4.0% - 4.5% ] 4.21% | 522 | 19.9% |
[ 4.0% - 4.5% ] 4.36% | 5,570 | 14.4% |
[ 4.0% - 4.5% ] 4.44% | 540 | 2.4% |
[ 4.5% - 5.0% ] 4.62% | 390 | 5.1% |
[ 5.5% - 6.0% ] 5.80% | 4,187 | 18.5% |
[ 9.5% - 10.0% ] 9.76% | 1,475 | 23.9% |
[ 9.5% - 10.0% ] 9.84% | 183 | 66.6% |