Portuguese No Vehicles in Household
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No Vehicles in Household
Portuguese No Vehicles in Household
8.6%
NO VEHICLES AVAILABLE
99.5/ 100
METRIC RATING
79th/ 347
METRIC RANK
Portuguese No Vehicles in Household Correlation Chart
The statistical analysis conducted on geographies consisting of 448,384,012 people shows a poor positive correlation between the proportion of Portuguese and percentage of households with no vehicle available in the United States with a correlation coefficient (R) of 0.163 and weighted average of 8.6%. On average, for every 1% (one percent) increase in Portuguese within a typical geography, there is an increase of 0.058% in percentage of households with no vehicle available.
It is essential to understand that the correlation between the percentage of Portuguese and percentage of households with no vehicle available does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Portuguese influences an upward or downward trend in the level of percentage of households with no vehicle available within an area, or if Portuguese 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 Portuguese by No Vehicles in Household
In terms of no vehicles in household, the demographic groups most similar to Portuguese are Immigrants from South Central Asia (8.6%, a difference of 0.060%), Bolivian (8.6%, a difference of 0.15%), Iranian (8.6%, a difference of 0.18%), Tsimshian (8.6%, a difference of 0.20%), and Immigrants from Philippines (8.5%, a difference of 0.26%).
Demographics | Rating | Rank | No Vehicles in Household |
Lithuanians | 99.6 /100 | #72 | Exceptional 8.4% |
Poles | 99.6 /100 | #73 | Exceptional 8.4% |
Cubans | 99.5 /100 | #74 | Exceptional 8.5% |
Jordanians | 99.5 /100 | #75 | Exceptional 8.5% |
Immigrants from Philippines | 99.5 /100 | #76 | Exceptional 8.5% |
Iranians | 99.5 /100 | #77 | Exceptional 8.6% |
Immigrants from South Central Asia | 99.5 /100 | #78 | Exceptional 8.6% |
Portuguese | 99.5 /100 | #79 | Exceptional 8.6% |
Bolivians | 99.4 /100 | #80 | Exceptional 8.6% |
Tsimshian | 99.4 /100 | #81 | Exceptional 8.6% |
Immigrants from South Eastern Asia | 99.4 /100 | #82 | Exceptional 8.6% |
Italians | 99.4 /100 | #83 | Exceptional 8.6% |
Immigrants from Jordan | 99.3 /100 | #84 | Exceptional 8.7% |
Lebanese | 99.3 /100 | #85 | Exceptional 8.7% |
Bangladeshis | 99.3 /100 | #86 | Exceptional 8.7% |
Portuguese No Vehicles in Household Correlation Summary
Measurement | Portuguese Data | No Vehicles in Household Data |
Minimum | 0.18% | 1.1% |
Maximum | 48.6% | 21.5% |
Range | 48.4% | 20.4% |
Mean | 19.5% | 8.1% |
Median | 16.5% | 7.3% |
Interquartile 25% (IQ1) | 8.2% | 4.9% |
Interquartile 75% (IQ3) | 31.7% | 9.8% |
Interquartile Range (IQR) | 23.5% | 4.9% |
Standard Deviation (Sample) | 13.3% | 4.8% |
Standard Deviation (Population) | 13.2% | 4.7% |
Correlation Details
Portuguese Percentile | Sample Size | No Vehicles in Household |
[ 0.0% - 0.5% ] 0.18% | 347,490,329 | 9.8% |
[ 0.5% - 1.0% ] 0.70% | 53,303,617 | 7.3% |
[ 1.0% - 1.5% ] 1.20% | 19,547,250 | 7.4% |
[ 1.5% - 2.0% ] 1.72% | 9,999,427 | 7.3% |
[ 2.0% - 2.5% ] 2.22% | 5,391,701 | 6.2% |
[ 2.5% - 3.0% ] 2.74% | 2,748,755 | 11.2% |
[ 3.0% - 3.5% ] 3.25% | 2,388,754 | 6.6% |
[ 3.5% - 4.0% ] 3.73% | 1,374,439 | 8.7% |
[ 4.0% - 4.5% ] 4.21% | 706,214 | 5.5% |
[ 4.5% - 5.0% ] 4.74% | 830,540 | 9.2% |
[ 5.0% - 5.5% ] 5.23% | 661,447 | 9.1% |
[ 5.5% - 6.0% ] 5.74% | 747,206 | 7.3% |
[ 6.0% - 6.5% ] 6.20% | 414,426 | 5.5% |
[ 6.5% - 7.0% ] 6.78% | 380,580 | 6.2% |
[ 7.0% - 7.5% ] 7.22% | 250,671 | 8.5% |
[ 7.5% - 8.0% ] 7.81% | 356,848 | 6.4% |
[ 8.0% - 8.5% ] 8.19% | 115,473 | 7.2% |
[ 8.5% - 9.0% ] 8.83% | 138,193 | 8.6% |
[ 9.0% - 9.5% ] 9.16% | 139,512 | 10.4% |
[ 9.5% - 10.0% ] 9.75% | 131,504 | 4.8% |
[ 10.0% - 10.5% ] 10.34% | 11,591 | 8.5% |
[ 10.5% - 11.0% ] 10.80% | 58,974 | 3.9% |
[ 11.0% - 11.5% ] 11.25% | 59,059 | 4.4% |
[ 11.5% - 12.0% ] 11.70% | 124,158 | 20.3% |
[ 12.0% - 12.5% ] 12.32% | 17,708 | 2.2% |
[ 12.5% - 13.0% ] 12.86% | 28,653 | 5.7% |
[ 13.0% - 13.5% ] 13.48% | 17,256 | 4.7% |
[ 13.5% - 14.0% ] 13.77% | 25,132 | 4.9% |
[ 14.0% - 14.5% ] 14.34% | 4,880 | 2.3% |
[ 14.5% - 15.0% ] 14.57% | 2,821 | 5.8% |
[ 15.0% - 15.5% ] 15.37% | 5,985 | 13.4% |
[ 15.5% - 16.0% ] 15.81% | 6,080 | 10.6% |
[ 16.0% - 16.5% ] 16.19% | 8,855 | 3.2% |
[ 16.5% - 17.0% ] 16.74% | 19,376 | 6.5% |
[ 18.0% - 18.5% ] 18.26% | 40,467 | 5.7% |
[ 18.5% - 19.0% ] 18.73% | 81,856 | 7.5% |
[ 19.0% - 19.5% ] 19.35% | 52,727 | 9.6% |
[ 19.5% - 20.0% ] 19.60% | 4,188 | 4.4% |
[ 20.0% - 20.5% ] 20.04% | 6,511 | 1.4% |
[ 20.5% - 21.0% ] 20.81% | 394 | 1.3% |
[ 21.0% - 21.5% ] 21.48% | 20,883 | 5.7% |
[ 22.0% - 22.5% ] 22.36% | 13,232 | 3.0% |
[ 22.5% - 23.0% ] 22.84% | 52,288 | 8.5% |
[ 25.5% - 26.0% ] 25.75% | 365 | 17.5% |
[ 26.0% - 26.5% ] 26.17% | 10,792 | 6.1% |
[ 28.0% - 28.5% ] 28.50% | 11,117 | 13.5% |
[ 28.5% - 29.0% ] 28.88% | 63,645 | 15.7% |
[ 29.0% - 29.5% ] 29.14% | 21,742 | 15.4% |
[ 31.0% - 31.5% ] 31.35% | 50,396 | 4.5% |
[ 31.5% - 32.0% ] 31.65% | 18,810 | 21.5% |
[ 32.0% - 32.5% ] 32.30% | 10,466 | 3.3% |
[ 32.5% - 33.0% ] 32.62% | 120,137 | 15.5% |
[ 33.0% - 33.5% ] 33.21% | 8,763 | 1.5% |
[ 33.5% - 34.0% ] 33.89% | 15,629 | 17.7% |
[ 34.5% - 35.0% ] 34.52% | 8,403 | 3.3% |
[ 35.0% - 35.5% ] 35.22% | 17,164 | 18.6% |
[ 36.0% - 36.5% ] 36.09% | 93,638 | 16.1% |
[ 37.0% - 37.5% ] 37.20% | 43,238 | 11.2% |
[ 37.5% - 38.0% ] 37.83% | 30,558 | 11.2% |
[ 38.0% - 38.5% ] 38.05% | 21,383 | 7.0% |
[ 38.5% - 39.0% ] 38.59% | 4,556 | 8.6% |
[ 39.0% - 39.5% ] 39.14% | 6,484 | 1.1% |
[ 41.0% - 41.5% ] 41.44% | 11,431 | 5.6% |
[ 43.0% - 43.5% ] 43.45% | 25,084 | 7.7% |
[ 48.0% - 48.5% ] 48.18% | 4,660 | 5.3% |
[ 48.5% - 49.0% ] 48.56% | 5,591 | 8.5% |