Lithuanian No Vehicles in Household
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No Vehicles in Household
Lithuanian No Vehicles in Household
8.4%
NO VEHICLES AVAILABLE
99.6/ 100
METRIC RATING
72nd/ 347
METRIC RANK
Lithuanian No Vehicles in Household Correlation Chart
The statistical analysis conducted on geographies consisting of 420,405,245 people shows a poor positive correlation between the proportion of Lithuanians and percentage of households with no vehicle available in the United States with a correlation coefficient (R) of 0.107 and weighted average of 8.4%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.055% in percentage of households with no vehicle available.
It is essential to understand that the correlation between the percentage of Lithuanians and percentage of households with no vehicle available does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Lithuanians influences an upward or downward trend in the level of percentage of households with no vehicle available within an area, or if Lithuanians 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 Lithuanians by No Vehicles in Household
In terms of no vehicles in household, the demographic groups most similar to Lithuanians are Immigrants from Lebanon (8.4%, a difference of 0.030%), Polish (8.4%, a difference of 0.030%), Cajun (8.4%, a difference of 0.060%), Spaniard (8.4%, a difference of 0.78%), and Immigrants from Iran (8.4%, a difference of 0.84%).
Demographics | Rating | Rank | No Vehicles in Household |
Canadians | 99.7 /100 | #65 | Exceptional 8.3% |
Palestinians | 99.7 /100 | #66 | Exceptional 8.3% |
Immigrants from Scotland | 99.7 /100 | #67 | Exceptional 8.3% |
Immigrants from Iran | 99.7 /100 | #68 | Exceptional 8.4% |
Spaniards | 99.7 /100 | #69 | Exceptional 8.4% |
Cajuns | 99.6 /100 | #70 | Exceptional 8.4% |
Immigrants from Lebanon | 99.6 /100 | #71 | Exceptional 8.4% |
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% |
Lithuanian No Vehicles in Household Correlation Summary
Measurement | Lithuanian Data | No Vehicles in Household Data |
Minimum | 0.087% | 1.4% |
Maximum | 35.0% | 16.8% |
Range | 34.9% | 15.5% |
Mean | 8.0% | 7.2% |
Median | 6.5% | 6.6% |
Interquartile 25% (IQ1) | 3.2% | 5.1% |
Interquartile 75% (IQ3) | 10.7% | 9.0% |
Interquartile Range (IQR) | 7.5% | 3.9% |
Standard Deviation (Sample) | 6.7% | 3.5% |
Standard Deviation (Population) | 6.7% | 3.4% |
Correlation Details
Lithuanian Percentile | Sample Size | No Vehicles in Household |
[ 0.0% - 0.5% ] 0.087% | 258,657,736 | 9.7% |
[ 0.0% - 0.5% ] 0.27% | 88,450,149 | 9.4% |
[ 0.0% - 0.5% ] 0.46% | 35,273,815 | 8.5% |
[ 0.5% - 1.0% ] 0.65% | 14,556,738 | 8.4% |
[ 0.5% - 1.0% ] 0.84% | 8,171,524 | 8.2% |
[ 1.0% - 1.5% ] 1.03% | 5,257,803 | 6.9% |
[ 1.0% - 1.5% ] 1.23% | 2,604,999 | 5.9% |
[ 1.0% - 1.5% ] 1.41% | 1,786,111 | 6.5% |
[ 1.5% - 2.0% ] 1.62% | 1,178,793 | 6.0% |
[ 1.5% - 2.0% ] 1.79% | 998,496 | 5.3% |
[ 1.5% - 2.0% ] 1.99% | 729,998 | 6.2% |
[ 2.0% - 2.5% ] 2.19% | 665,613 | 5.3% |
[ 2.0% - 2.5% ] 2.37% | 527,365 | 6.6% |
[ 2.5% - 3.0% ] 2.53% | 306,804 | 6.1% |
[ 2.5% - 3.0% ] 2.76% | 268,811 | 6.7% |
[ 2.5% - 3.0% ] 2.93% | 88,588 | 5.1% |
[ 3.0% - 3.5% ] 3.16% | 78,794 | 5.4% |
[ 3.0% - 3.5% ] 3.31% | 81,347 | 8.6% |
[ 3.5% - 4.0% ] 3.52% | 121,173 | 7.6% |
[ 3.5% - 4.0% ] 3.70% | 56,753 | 8.6% |
[ 3.5% - 4.0% ] 3.87% | 22,577 | 2.5% |
[ 4.0% - 4.5% ] 4.12% | 77,289 | 7.5% |
[ 4.0% - 4.5% ] 4.27% | 81,739 | 6.0% |
[ 4.0% - 4.5% ] 4.45% | 39,421 | 5.6% |
[ 4.5% - 5.0% ] 4.63% | 46,002 | 5.2% |
[ 4.5% - 5.0% ] 4.82% | 12,650 | 10.3% |
[ 5.0% - 5.5% ] 5.01% | 71,745 | 6.6% |
[ 5.0% - 5.5% ] 5.21% | 12,733 | 11.7% |
[ 5.0% - 5.5% ] 5.45% | 6,884 | 3.8% |
[ 5.5% - 6.0% ] 5.66% | 5,975 | 16.8% |
[ 5.5% - 6.0% ] 5.75% | 7,666 | 3.5% |
[ 5.5% - 6.0% ] 5.98% | 9,225 | 7.0% |
[ 6.0% - 6.5% ] 6.13% | 2,088 | 4.6% |
[ 6.0% - 6.5% ] 6.38% | 10,203 | 10.0% |
[ 6.5% - 7.0% ] 6.51% | 9,507 | 11.3% |
[ 6.5% - 7.0% ] 6.71% | 3,397 | 6.7% |
[ 6.5% - 7.0% ] 6.94% | 1,643 | 4.1% |
[ 7.0% - 7.5% ] 7.13% | 5,877 | 4.2% |
[ 7.0% - 7.5% ] 7.29% | 5,916 | 5.1% |
[ 7.0% - 7.5% ] 7.45% | 2,712 | 4.5% |
[ 7.5% - 8.0% ] 7.66% | 3,329 | 5.9% |
[ 7.5% - 8.0% ] 7.95% | 478 | 8.1% |
[ 8.0% - 8.5% ] 8.03% | 7,300 | 3.5% |
[ 8.0% - 8.5% ] 8.18% | 1,394 | 8.4% |
[ 8.0% - 8.5% ] 8.49% | 4,440 | 3.1% |
[ 8.5% - 9.0% ] 8.62% | 441 | 2.9% |
[ 8.5% - 9.0% ] 8.82% | 11,968 | 13.1% |
[ 9.0% - 9.5% ] 9.25% | 11,511 | 3.4% |
[ 9.0% - 9.5% ] 9.44% | 1,028 | 1.6% |
[ 9.0% - 9.5% ] 9.50% | 28,570 | 3.4% |
[ 9.5% - 10.0% ] 9.90% | 21,663 | 6.0% |
[ 10.5% - 11.0% ] 10.56% | 161 | 1.4% |
[ 10.5% - 11.0% ] 10.82% | 3,411 | 15.9% |
[ 11.0% - 11.5% ] 11.19% | 447 | 7.9% |
[ 11.0% - 11.5% ] 11.26% | 2,940 | 16.5% |
[ 11.5% - 12.0% ] 11.86% | 59 | 2.9% |
[ 12.0% - 12.5% ] 12.19% | 886 | 10.5% |
[ 12.0% - 12.5% ] 12.40% | 1,572 | 12.3% |
[ 12.5% - 13.0% ] 12.54% | 295 | 2.5% |
[ 14.0% - 14.5% ] 14.46% | 1,514 | 11.5% |
[ 15.5% - 16.0% ] 15.53% | 1,668 | 10.1% |
[ 16.0% - 16.5% ] 16.04% | 804 | 14.0% |
[ 16.0% - 16.5% ] 16.24% | 234 | 6.7% |
[ 19.5% - 20.0% ] 19.87% | 1,052 | 10.6% |
[ 20.5% - 21.0% ] 20.79% | 433 | 7.9% |
[ 21.5% - 22.0% ] 21.99% | 141 | 11.2% |
[ 23.5% - 24.0% ] 23.64% | 110 | 6.0% |
[ 26.5% - 27.0% ] 26.55% | 531 | 6.3% |
[ 34.5% - 35.0% ] 34.95% | 206 | 5.8% |