Immigrants from Pakistan No Vehicles in Household
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Immigrants from Pakistan
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No Vehicles in Household
Immigrants from Pakistan No Vehicles in Household
11.4%
NO VEHICLES AVAILABLE
5.4/ 100
METRIC RATING
227th/ 347
METRIC RANK
Immigrants from Pakistan No Vehicles in Household Correlation Chart
The statistical analysis conducted on geographies consisting of 283,461,123 people shows a poor negative correlation between the proportion of Immigrants from Pakistan and percentage of households with no vehicle available in the United States with a correlation coefficient (R) of -0.197 and weighted average of 11.4%. On average, for every 1% (one percent) increase in Immigrants from Pakistan within a typical geography, there is a decrease of 0.43% in percentage of households with no vehicle available.
It is essential to understand that the correlation between the percentage of Immigrants from Pakistan and percentage of households with no vehicle available does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Pakistan influences an upward or downward trend in the level of percentage of households with no vehicle available within an area, or if Immigrants from Pakistan simply ended up residing in those areas with higher or lower levels of percentage of households with no vehicle available due to other factors.
Demographics Similar to Immigrants from Pakistan by No Vehicles in Household
In terms of no vehicles in household, the demographic groups most similar to Immigrants from Pakistan are Immigrants from Somalia (11.4%, a difference of 0.020%), Immigrants from Romania (11.4%, a difference of 0.040%), Ugandan (11.4%, a difference of 0.080%), Immigrants from Norway (11.4%, a difference of 0.21%), and Immigrants from Japan (11.4%, a difference of 0.21%).
Demographics | Rating | Rank | No Vehicles in Household |
Immigrants from Zaire | 9.6 /100 | #220 | Tragic 11.2% |
Peruvians | 8.4 /100 | #221 | Tragic 11.2% |
Immigrants from South America | 8.0 /100 | #222 | Tragic 11.3% |
Uruguayans | 7.7 /100 | #223 | Tragic 11.3% |
Immigrants from Hong Kong | 7.2 /100 | #224 | Tragic 11.3% |
Immigrants from Sierra Leone | 6.4 /100 | #225 | Tragic 11.3% |
Immigrants from Somalia | 5.4 /100 | #226 | Tragic 11.4% |
Immigrants from Pakistan | 5.4 /100 | #227 | Tragic 11.4% |
Immigrants from Romania | 5.3 /100 | #228 | Tragic 11.4% |
Ugandans | 5.3 /100 | #229 | Tragic 11.4% |
Immigrants from Norway | 5.1 /100 | #230 | Tragic 11.4% |
Immigrants from Japan | 5.1 /100 | #231 | Tragic 11.4% |
Immigrants from Turkey | 4.8 /100 | #232 | Tragic 11.5% |
Houma | 4.7 /100 | #233 | Tragic 11.5% |
Immigrants from Peru | 4.5 /100 | #234 | Tragic 11.5% |
Immigrants from Pakistan No Vehicles in Household Correlation Summary
Measurement | Immigrants from Pakistan Data | No Vehicles in Household Data |
Minimum | 0.041% | 1.9% |
Maximum | 13.4% | 31.2% |
Range | 13.4% | 29.4% |
Mean | 3.3% | 8.6% |
Median | 2.8% | 7.4% |
Interquartile 25% (IQ1) | 1.4% | 5.5% |
Interquartile 75% (IQ3) | 4.7% | 9.7% |
Interquartile Range (IQR) | 3.3% | 4.3% |
Standard Deviation (Sample) | 2.6% | 5.8% |
Standard Deviation (Population) | 2.6% | 5.7% |
Correlation Details
Immigrants from Pakistan Percentile | Sample Size | No Vehicles in Household |
[ 0.0% - 0.5% ] 0.041% | 111,834,250 | 9.6% |
[ 0.0% - 0.5% ] 0.12% | 56,104,743 | 9.1% |
[ 0.0% - 0.5% ] 0.20% | 33,822,285 | 10.8% |
[ 0.0% - 0.5% ] 0.29% | 19,847,897 | 9.0% |
[ 0.0% - 0.5% ] 0.37% | 11,354,029 | 7.7% |
[ 0.0% - 0.5% ] 0.44% | 17,209,599 | 31.2% |
[ 0.5% - 1.0% ] 0.53% | 5,835,603 | 7.2% |
[ 0.5% - 1.0% ] 0.61% | 4,255,342 | 8.9% |
[ 0.5% - 1.0% ] 0.69% | 3,413,386 | 7.6% |
[ 0.5% - 1.0% ] 0.77% | 2,835,908 | 11.0% |
[ 0.5% - 1.0% ] 0.86% | 2,124,273 | 9.7% |
[ 0.5% - 1.0% ] 0.92% | 3,027,827 | 7.9% |
[ 1.0% - 1.5% ] 1.02% | 1,738,093 | 13.6% |
[ 1.0% - 1.5% ] 1.10% | 830,842 | 13.2% |
[ 1.0% - 1.5% ] 1.19% | 979,948 | 9.7% |
[ 1.0% - 1.5% ] 1.26% | 1,329,095 | 10.4% |
[ 1.0% - 1.5% ] 1.35% | 678,326 | 8.1% |
[ 1.0% - 1.5% ] 1.43% | 512,732 | 13.0% |
[ 1.5% - 2.0% ] 1.51% | 656,256 | 5.4% |
[ 1.5% - 2.0% ] 1.59% | 472,606 | 4.9% |
[ 1.5% - 2.0% ] 1.67% | 505,976 | 5.4% |
[ 1.5% - 2.0% ] 1.76% | 242,728 | 9.6% |
[ 1.5% - 2.0% ] 1.83% | 410,995 | 5.4% |
[ 1.5% - 2.0% ] 1.91% | 195,240 | 6.5% |
[ 2.0% - 2.5% ] 2.01% | 119,661 | 6.6% |
[ 2.0% - 2.5% ] 2.09% | 157,869 | 5.4% |
[ 2.0% - 2.5% ] 2.17% | 384,915 | 25.2% |
[ 2.0% - 2.5% ] 2.24% | 363,055 | 6.2% |
[ 2.0% - 2.5% ] 2.33% | 133,126 | 4.4% |
[ 2.0% - 2.5% ] 2.42% | 205,824 | 31.0% |
[ 2.0% - 2.5% ] 2.50% | 254,522 | 4.6% |
[ 2.5% - 3.0% ] 2.57% | 73,701 | 6.7% |
[ 2.5% - 3.0% ] 2.66% | 76,816 | 7.3% |
[ 2.5% - 3.0% ] 2.72% | 99,561 | 6.8% |
[ 2.5% - 3.0% ] 2.83% | 99,677 | 4.8% |
[ 2.5% - 3.0% ] 2.89% | 178,062 | 5.6% |
[ 2.5% - 3.0% ] 2.97% | 39,329 | 6.3% |
[ 3.0% - 3.5% ] 3.04% | 129,420 | 8.0% |
[ 3.0% - 3.5% ] 3.16% | 67,044 | 5.5% |
[ 3.0% - 3.5% ] 3.23% | 32,104 | 7.8% |
[ 3.0% - 3.5% ] 3.32% | 36,559 | 9.9% |
[ 3.0% - 3.5% ] 3.36% | 134,107 | 6.3% |
[ 3.5% - 4.0% ] 3.55% | 16,573 | 5.6% |
[ 3.5% - 4.0% ] 3.61% | 63,183 | 3.2% |
[ 3.5% - 4.0% ] 3.70% | 86,647 | 6.0% |
[ 3.5% - 4.0% ] 3.78% | 123,078 | 2.4% |
[ 3.5% - 4.0% ] 3.85% | 9,567 | 24.0% |
[ 4.0% - 4.5% ] 4.08% | 4,265 | 17.3% |
[ 4.0% - 4.5% ] 4.10% | 31,609 | 2.2% |
[ 4.0% - 4.5% ] 4.48% | 1,406 | 8.7% |
[ 4.5% - 5.0% ] 4.60% | 50,245 | 7.4% |
[ 4.5% - 5.0% ] 4.70% | 12,209 | 2.9% |
[ 4.5% - 5.0% ] 4.88% | 17,793 | 3.3% |
[ 4.5% - 5.0% ] 4.98% | 91,618 | 2.2% |
[ 5.0% - 5.5% ] 5.32% | 30,553 | 8.9% |
[ 5.0% - 5.5% ] 5.43% | 13,010 | 6.1% |
[ 5.5% - 6.0% ] 5.66% | 10,990 | 9.8% |
[ 6.0% - 6.5% ] 6.24% | 945 | 15.3% |
[ 6.5% - 7.0% ] 6.64% | 76,600 | 4.5% |
[ 6.5% - 7.0% ] 6.80% | 3,296 | 6.4% |
[ 6.5% - 7.0% ] 6.99% | 143 | 8.8% |
[ 7.0% - 7.5% ] 7.07% | 2,533 | 9.3% |
[ 7.0% - 7.5% ] 7.29% | 329 | 10.3% |
[ 7.0% - 7.5% ] 7.46% | 3,002 | 6.8% |
[ 7.5% - 8.0% ] 7.58% | 66 | 7.4% |
[ 9.0% - 9.5% ] 9.18% | 2,135 | 1.9% |
[ 10.0% - 10.5% ] 10.08% | 5,803 | 2.8% |
[ 13.0% - 13.5% ] 13.40% | 194 | 9.7% |