Hungarian 4 or more Vehicles in Household
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Hungarian
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4 or more Vehicles in Household
Hungarian 4 or more Vehicles in Household
6.4%
4+ VEHICLES AVAILABLE
61.1/ 100
METRIC RATING
164th/ 347
METRIC RANK
Hungarian 4 or more Vehicles in Household Correlation Chart
The statistical analysis conducted on geographies consisting of 483,846,610 people shows a weak positive correlation between the proportion of Hungarians and percentage of households with 4 or more vehicles available in the United States with a correlation coefficient (R) of 0.243 and weighted average of 6.4%. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.25% in percentage of households with 4 or more vehicles available.
It is essential to understand that the correlation between the percentage of Hungarians and percentage of households with 4 or more vehicles available does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Hungarians influences an upward or downward trend in the level of percentage of households with 4 or more vehicles available within an area, or if Hungarians simply ended up residing in those areas with higher or lower levels of percentage of households with 4 or more vehicles available due to other factors.
Demographics Similar to Hungarians by 4 or more Vehicles in Household
In terms of 4 or more vehicles in household, the demographic groups most similar to Hungarians are Chilean (6.4%, a difference of 0.010%), Immigrants from Peru (6.4%, a difference of 0.14%), Immigrants from Pakistan (6.4%, a difference of 0.22%), Immigrants from Cameroon (6.4%, a difference of 0.35%), and Immigrants from Denmark (6.4%, a difference of 0.35%).
| Demographics | Rating | Rank | 4 or more Vehicles in Household |
| Peruvians | 69.4 /100 | #157 | Good 6.5% |
| Zimbabweans | 67.1 /100 | #158 | Good 6.4% |
| Indians (Asian) | 66.3 /100 | #159 | Good 6.4% |
| Palestinians | 65.8 /100 | #160 | Good 6.4% |
| Immigrants from Cameroon | 64.4 /100 | #161 | Good 6.4% |
| Immigrants from Pakistan | 63.2 /100 | #162 | Good 6.4% |
| Chileans | 61.2 /100 | #163 | Good 6.4% |
| Hungarians | 61.1 /100 | #164 | Good 6.4% |
| Immigrants from Peru | 59.8 /100 | #165 | Average 6.4% |
| Immigrants from Denmark | 57.8 /100 | #166 | Average 6.4% |
| Poles | 56.9 /100 | #167 | Average 6.4% |
| Lebanese | 55.8 /100 | #168 | Average 6.4% |
| Estonians | 55.1 /100 | #169 | Average 6.4% |
| Immigrants from Syria | 52.8 /100 | #170 | Average 6.3% |
| Immigrants from India | 51.9 /100 | #171 | Average 6.3% |
Hungarian 4 or more Vehicles in Household Correlation Summary
| Measurement | Hungarian Data | 4 or more Vehicles in Household Data |
| Minimum | 0.21% | 0.062% |
| Maximum | 56.7% | 58.1% |
| Range | 56.5% | 58.1% |
| Mean | 16.3% | 12.4% |
| Median | 13.3% | 7.3% |
| Interquartile 25% (IQ1) | 6.5% | 5.9% |
| Interquartile 75% (IQ3) | 24.3% | 13.9% |
| Interquartile Range (IQR) | 17.8% | 8.0% |
| Standard Deviation (Sample) | 12.3% | 12.6% |
| Standard Deviation (Population) | 12.2% | 12.5% |
Correlation Details
| Hungarian Percentile | Sample Size | 4 or more Vehicles in Household |
[ 0.0% - 0.5% ] 0.21% | 356,183,203 | 7.1% |
[ 0.5% - 1.0% ] 0.68% | 85,291,453 | 5.6% |
[ 1.0% - 1.5% ] 1.20% | 21,534,422 | 6.1% |
[ 1.5% - 2.0% ] 1.73% | 8,652,110 | 6.6% |
[ 2.0% - 2.5% ] 2.23% | 4,076,582 | 6.5% |
[ 2.5% - 3.0% ] 2.75% | 2,243,550 | 6.8% |
[ 3.0% - 3.5% ] 3.24% | 1,843,401 | 5.9% |
[ 3.5% - 4.0% ] 3.77% | 1,306,146 | 6.0% |
[ 4.0% - 4.5% ] 4.26% | 901,982 | 7.0% |
[ 4.5% - 5.0% ] 4.74% | 457,212 | 7.5% |
[ 5.0% - 5.5% ] 5.25% | 346,500 | 6.9% |
[ 5.5% - 6.0% ] 5.78% | 153,138 | 8.3% |
[ 6.0% - 6.5% ] 6.22% | 147,030 | 5.9% |
[ 6.5% - 7.0% ] 6.77% | 118,589 | 9.3% |
[ 7.0% - 7.5% ] 7.18% | 81,635 | 8.6% |
[ 7.5% - 8.0% ] 7.75% | 70,042 | 6.2% |
[ 8.0% - 8.5% ] 8.21% | 46,594 | 10.4% |
[ 8.5% - 9.0% ] 8.71% | 27,433 | 8.2% |
[ 9.0% - 9.5% ] 9.16% | 19,931 | 13.7% |
[ 9.5% - 10.0% ] 9.70% | 11,230 | 11.5% |
[ 10.0% - 10.5% ] 10.34% | 4,468 | 6.9% |
[ 10.5% - 11.0% ] 10.65% | 4,234 | 22.2% |
[ 11.0% - 11.5% ] 11.30% | 26,068 | 7.4% |
[ 11.5% - 12.0% ] 11.76% | 18,633 | 5.6% |
[ 12.0% - 12.5% ] 12.06% | 76,510 | 5.0% |
[ 12.5% - 13.0% ] 12.67% | 2,722 | 9.4% |
[ 13.0% - 13.5% ] 13.33% | 2,595 | 20.1% |
[ 14.0% - 14.5% ] 14.22% | 436 | 26.7% |
[ 14.5% - 15.0% ] 14.81% | 54 | 3.6% |
[ 15.0% - 15.5% ] 15.11% | 278 | 7.2% |
[ 15.5% - 16.0% ] 15.85% | 164 | 22.7% |
[ 16.0% - 16.5% ] 16.42% | 67 | 46.2% |
[ 17.0% - 17.5% ] 17.14% | 48,181 | 2.4% |
[ 18.0% - 18.5% ] 18.23% | 1,733 | 11.8% |
[ 19.0% - 19.5% ] 19.42% | 1,792 | 3.9% |
[ 21.0% - 21.5% ] 21.35% | 28,287 | 0.062% |
[ 21.5% - 22.0% ] 21.57% | 2,035 | 45.2% |
[ 22.5% - 23.0% ] 22.53% | 7,385 | 3.2% |
[ 23.0% - 23.5% ] 23.21% | 224 | 21.2% |
[ 24.0% - 24.5% ] 24.00% | 125 | 7.3% |
[ 24.5% - 25.0% ] 24.63% | 64,313 | 4.3% |
[ 25.0% - 25.5% ] 25.23% | 959 | 49.3% |
[ 26.0% - 26.5% ] 26.04% | 864 | 2.3% |
[ 28.0% - 28.5% ] 28.39% | 236 | 11.5% |
[ 29.5% - 30.0% ] 29.82% | 959 | 14.1% |
[ 30.0% - 30.5% ] 30.23% | 258 | 19.8% |
[ 31.5% - 32.0% ] 31.96% | 3,858 | 4.4% |
[ 33.0% - 33.5% ] 33.30% | 871 | 22.0% |
[ 33.5% - 34.0% ] 33.83% | 133 | 58.1% |
[ 35.5% - 36.0% ] 35.53% | 76 | 27.5% |
[ 40.5% - 41.0% ] 40.81% | 34,368 | 0.21% |
[ 41.0% - 41.5% ] 41.12% | 1,481 | 7.9% |
[ 56.5% - 57.0% ] 56.67% | 60 | 5.9% |