Hungarian No Vehicles in Household
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Hungarian
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No Vehicles in Household
Hungarian No Vehicles in Household
9.9%
NO VEHICLES AVAILABLE
80.0/ 100
METRIC RATING
146th/ 347
METRIC RANK
Hungarian No Vehicles in Household Correlation Chart
The statistical analysis conducted on geographies consisting of 483,786,573 people shows a moderate positive correlation between the proportion of Hungarians and percentage of households with no vehicle available in the United States with a correlation coefficient (R) of 0.474 and weighted average of 9.9%. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.51% in percentage of households with no vehicle available.
It is essential to understand that the correlation between the percentage of Hungarians and percentage of households with no vehicle 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 no vehicle available within an area, or if Hungarians 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 Hungarians by No Vehicles in Household
In terms of no vehicles in household, the demographic groups most similar to Hungarians are Immigrants from Nicaragua (9.9%, a difference of 0.060%), Immigrants from Bosnia and Herzegovina (9.9%, a difference of 0.20%), Bahamian (9.9%, a difference of 0.23%), Chilean (9.9%, a difference of 0.26%), and Immigrants from Bahamas (9.9%, a difference of 0.26%).
| Demographics | Rating | Rank | No Vehicles in Household |
| Marshallese | 84.0 /100 | #139 | Excellent 9.8% |
| Immigrants from Lithuania | 84.0 /100 | #140 | Excellent 9.8% |
| Sudanese | 83.1 /100 | #141 | Excellent 9.8% |
| Immigrants from Zimbabwe | 82.6 /100 | #142 | Excellent 9.9% |
| Chileans | 81.2 /100 | #143 | Excellent 9.9% |
| Immigrants from Bahamas | 81.2 /100 | #144 | Excellent 9.9% |
| Bahamians | 81.0 /100 | #145 | Excellent 9.9% |
| Hungarians | 80.0 /100 | #146 | Excellent 9.9% |
| Immigrants from Nicaragua | 79.8 /100 | #147 | Good 9.9% |
| Immigrants from Bosnia and Herzegovina | 79.1 /100 | #148 | Good 9.9% |
| Immigrants from Uganda | 76.1 /100 | #149 | Good 10.0% |
| Colombians | 73.9 /100 | #150 | Good 10.0% |
| Immigrants from Eastern Africa | 73.8 /100 | #151 | Good 10.0% |
| Immigrants from Congo | 73.0 /100 | #152 | Good 10.1% |
| Tlingit-Haida | 72.5 /100 | #153 | Good 10.1% |
Hungarian No Vehicles in Household Correlation Summary
| Measurement | Hungarian Data | No Vehicles in Household Data |
| Minimum | 0.21% | 0.88% |
| Maximum | 53.8% | 62.3% |
| Range | 53.5% | 61.5% |
| Mean | 16.0% | 14.3% |
| Median | 12.7% | 8.5% |
| Interquartile 25% (IQ1) | 6.0% | 5.5% |
| Interquartile 75% (IQ3) | 25.0% | 18.2% |
| Interquartile Range (IQR) | 19.0% | 12.8% |
| Standard Deviation (Sample) | 12.5% | 13.4% |
| Standard Deviation (Population) | 12.3% | 13.2% |
Correlation Details
| Hungarian Percentile | Sample Size | No Vehicles in Household |
[ 0.0% - 0.5% ] 0.21% | 356,295,105 | 8.4% |
[ 0.5% - 1.0% ] 0.68% | 85,272,398 | 12.3% |
[ 1.0% - 1.5% ] 1.20% | 21,626,884 | 8.6% |
[ 1.5% - 2.0% ] 1.73% | 8,530,537 | 6.9% |
[ 2.0% - 2.5% ] 2.23% | 4,027,496 | 7.4% |
[ 2.5% - 3.0% ] 2.75% | 2,208,435 | 7.0% |
[ 3.0% - 3.5% ] 3.25% | 1,807,631 | 6.7% |
[ 3.5% - 4.0% ] 3.77% | 1,297,004 | 8.8% |
[ 4.0% - 4.5% ] 4.25% | 868,974 | 5.8% |
[ 4.5% - 5.0% ] 4.74% | 449,905 | 5.4% |
[ 5.0% - 5.5% ] 5.28% | 423,911 | 29.0% |
[ 5.5% - 6.0% ] 5.79% | 148,588 | 5.3% |
[ 6.0% - 6.5% ] 6.22% | 144,778 | 23.9% |
[ 6.5% - 7.0% ] 6.77% | 117,794 | 5.4% |
[ 7.0% - 7.5% ] 7.17% | 76,015 | 5.7% |
[ 7.5% - 8.0% ] 7.75% | 62,178 | 13.6% |
[ 8.0% - 8.5% ] 8.21% | 41,671 | 4.9% |
[ 8.5% - 9.0% ] 8.70% | 25,588 | 12.4% |
[ 9.0% - 9.5% ] 9.17% | 13,315 | 7.7% |
[ 9.5% - 10.0% ] 9.71% | 10,335 | 7.3% |
[ 10.0% - 10.5% ] 10.35% | 5,142 | 5.0% |
[ 11.0% - 11.5% ] 11.30% | 24,194 | 3.4% |
[ 11.5% - 12.0% ] 11.76% | 18,072 | 6.5% |
[ 12.0% - 12.5% ] 12.04% | 72,506 | 17.1% |
[ 12.5% - 13.0% ] 12.75% | 1,122 | 15.0% |
[ 13.0% - 13.5% ] 13.32% | 1,269 | 5.5% |
[ 14.0% - 14.5% ] 14.04% | 178 | 20.8% |
[ 14.5% - 15.0% ] 14.92% | 362 | 4.7% |
[ 15.0% - 15.5% ] 15.05% | 6,773 | 8.5% |
[ 17.0% - 17.5% ] 17.14% | 48,083 | 22.5% |
[ 17.5% - 18.0% ] 17.65% | 51 | 18.5% |
[ 18.5% - 19.0% ] 18.62% | 290 | 9.6% |
[ 19.0% - 19.5% ] 19.42% | 1,792 | 5.1% |
[ 21.0% - 21.5% ] 21.35% | 28,376 | 27.0% |
[ 21.5% - 22.0% ] 21.60% | 1,102 | 4.2% |
[ 22.5% - 23.0% ] 22.53% | 7,385 | 18.0% |
[ 24.5% - 25.0% ] 24.63% | 64,193 | 16.9% |
[ 25.0% - 25.5% ] 25.30% | 5,501 | 59.6% |
[ 26.0% - 26.5% ] 26.04% | 864 | 3.6% |
[ 26.5% - 27.0% ] 26.60% | 188 | 13.5% |
[ 28.0% - 28.5% ] 28.17% | 71 | 32.3% |
[ 28.5% - 29.0% ] 28.69% | 610 | 5.1% |
[ 29.5% - 30.0% ] 29.90% | 97 | 23.6% |
[ 31.5% - 32.0% ] 31.96% | 3,858 | 5.6% |
[ 33.0% - 33.5% ] 33.30% | 871 | 0.88% |
[ 38.5% - 39.0% ] 38.95% | 9,578 | 62.3% |
[ 40.5% - 41.0% ] 40.81% | 34,368 | 37.1% |
[ 41.0% - 41.5% ] 41.06% | 962 | 39.2% |
[ 53.5% - 54.0% ] 53.76% | 173 | 17.0% |