Immigrants from Lithuania 1 or more Vehicles in Household
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Immigrants from Lithuania
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1 or more Vehicles in Household
Immigrants from Lithuania 1 or more Vehicles in Household
90.2%
1+ VEHICLES AVAILABLE
83.0/ 100
METRIC RATING
142nd/ 347
METRIC RANK
Immigrants from Lithuania 1 or more Vehicles in Household Correlation Chart
The statistical analysis conducted on geographies consisting of 117,713,976 people shows a substantial positive correlation between the proportion of Immigrants from Lithuania and percentage of households with 1 or more vehicles available in the United States with a correlation coefficient (R) of 0.528 and weighted average of 90.2%. On average, for every 1% (one percent) increase in Immigrants from Lithuania within a typical geography, there is an increase of 0.45% in percentage of households with 1 or more vehicles available.
It is essential to understand that the correlation between the percentage of Immigrants from Lithuania and percentage of households with 1 or more vehicles available does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Lithuania influences an upward or downward trend in the level of percentage of households with 1 or more vehicles available within an area, or if Immigrants from Lithuania simply ended up residing in those areas with higher or lower levels of percentage of households with 1 or more vehicles available due to other factors.
Demographics Similar to Immigrants from Lithuania by 1 or more Vehicles in Household
In terms of 1 or more vehicles in household, the demographic groups most similar to Immigrants from Lithuania are Immigrants from Moldova (90.2%, a difference of 0.0%), Immigrants from Bahamas (90.2%, a difference of 0.040%), Immigrants from Zimbabwe (90.2%, a difference of 0.040%), Sioux (90.2%, a difference of 0.040%), and Sudanese (90.3%, a difference of 0.060%).
| Demographics | Rating | Rank | 1 or more Vehicles in Household |
| Immigrants from Oceania | 86.9 /100 | #135 | Excellent 90.4% |
| Hungarians | 86.5 /100 | #136 | Excellent 90.3% |
| Latvians | 86.3 /100 | #137 | Excellent 90.3% |
| Syrians | 86.3 /100 | #138 | Excellent 90.3% |
| Estonians | 85.6 /100 | #139 | Excellent 90.3% |
| Sudanese | 85.2 /100 | #140 | Excellent 90.3% |
| Immigrants from Moldova | 83.1 /100 | #141 | Excellent 90.2% |
| Immigrants from Lithuania | 83.0 /100 | #142 | Excellent 90.2% |
| Immigrants from Bahamas | 81.5 /100 | #143 | Excellent 90.2% |
| Immigrants from Zimbabwe | 81.5 /100 | #144 | Excellent 90.2% |
| Sioux | 81.3 /100 | #145 | Excellent 90.2% |
| Bahamians | 80.5 /100 | #146 | Excellent 90.2% |
| Chileans | 79.8 /100 | #147 | Good 90.2% |
| Immigrants from Eastern Africa | 78.2 /100 | #148 | Good 90.1% |
| Immigrants from Nicaragua | 76.7 /100 | #149 | Good 90.1% |
Immigrants from Lithuania 1 or more Vehicles in Household Correlation Summary
| Measurement | Immigrants from Lithuania Data | 1 or more Vehicles in Household Data |
| Minimum | 0.022% | 85.3% |
| Maximum | 18.4% | 100.0% |
| Range | 18.4% | 14.7% |
| Mean | 2.5% | 95.4% |
| Median | 1.4% | 95.8% |
| Interquartile 25% (IQ1) | 0.69% | 94.8% |
| Interquartile 75% (IQ3) | 2.1% | 97.4% |
| Interquartile Range (IQR) | 1.5% | 2.6% |
| Standard Deviation (Sample) | 3.9% | 3.3% |
| Standard Deviation (Population) | 3.8% | 3.2% |
Correlation Details
| Immigrants from Lithuania Percentile | Sample Size | 1 or more Vehicles in Household |
[ 0.0% - 0.5% ] 0.022% | 102,984,532 | 85.3% |
[ 0.0% - 0.5% ] 0.13% | 8,126,957 | 91.7% |
[ 0.0% - 0.5% ] 0.23% | 3,211,708 | 91.1% |
[ 0.0% - 0.5% ] 0.31% | 1,266,927 | 90.5% |
[ 0.0% - 0.5% ] 0.41% | 561,608 | 94.8% |
[ 0.0% - 0.5% ] 0.50% | 361,539 | 95.0% |
[ 0.5% - 1.0% ] 0.61% | 271,351 | 95.2% |
[ 0.5% - 1.0% ] 0.69% | 192,841 | 96.4% |
[ 0.5% - 1.0% ] 0.80% | 72,017 | 96.1% |
[ 0.5% - 1.0% ] 0.87% | 134,524 | 94.9% |
[ 0.5% - 1.0% ] 0.96% | 19,741 | 97.2% |
[ 1.0% - 1.5% ] 1.06% | 58,904 | 90.2% |
[ 1.0% - 1.5% ] 1.14% | 122,775 | 95.9% |
[ 1.0% - 1.5% ] 1.22% | 6,743 | 98.1% |
[ 1.0% - 1.5% ] 1.36% | 38,572 | 95.6% |
[ 1.0% - 1.5% ] 1.43% | 55,353 | 96.8% |
[ 1.5% - 2.0% ] 1.55% | 28,061 | 93.0% |
[ 1.5% - 2.0% ] 1.59% | 44,406 | 95.7% |
[ 1.5% - 2.0% ] 1.67% | 12,778 | 95.2% |
[ 1.5% - 2.0% ] 1.82% | 16,833 | 96.3% |
[ 1.5% - 2.0% ] 1.85% | 51,206 | 95.6% |
[ 2.0% - 2.5% ] 2.12% | 5,862 | 97.9% |
[ 2.0% - 2.5% ] 2.14% | 10,443 | 93.2% |
[ 2.0% - 2.5% ] 2.33% | 10,268 | 98.1% |
[ 2.5% - 3.0% ] 2.60% | 1,536 | 100.0% |
[ 3.0% - 3.5% ] 3.47% | 26,810 | 96.3% |
[ 3.5% - 4.0% ] 3.76% | 18,533 | 97.4% |
[ 5.5% - 6.0% ] 5.88% | 187 | 100.0% |
[ 13.0% - 13.5% ] 13.36% | 494 | 100.0% |
[ 18.0% - 18.5% ] 18.42% | 467 | 100.0% |