Immigrants from China 4 or more Vehicles in Household

The statistical analysis conducted on geographies consisting of 454,562,757 people shows a weak positive correlation between the proportion of Immigrants from China and percentage of households with 4 or more vehicles available in the United States with a correlation coefficient (R) of 0.209 and weighted average of 6.0%. On average, for every 1% (one percent) increase in Immigrants from China within a typical geography, there is an increase of 0.064% in percentage of households with 4 or more vehicles available.

It is essential to understand that the correlation between the percentage of Immigrants from China 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 Immigrants from China influences an upward or downward trend in the level of percentage of households with 4 or more vehicles available within an area, or if Immigrants from China 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 Immigrants from China by 4 or more Vehicles in Household

In terms of 4 or more vehicles in household, the demographic groups most similar to Immigrants from China are Immigrants from Romania (6.0%, a difference of 0.0%), Immigrants from Austria (6.0%, a difference of 0.11%), Arab (6.0%, a difference of 0.13%), Immigrants from Egypt (6.0%, a difference of 0.19%), and Panamanian (6.0%, a difference of 0.20%).

Demographics	Rating \| Rank	4 or more Vehicles in Household
Immigrants from Nigeria	15.6 /100 \| #208	Poor 6.1%
Immigrants from Honduras	15.4 /100 \| #209	Poor 6.1%
Immigrants from Zimbabwe	15.1 /100 \| #210	Poor 6.0%
Panamanians	14.8 /100 \| #211	Poor 6.0%
Immigrants from Egypt	14.7 /100 \| #212	Poor 6.0%
Arabs	14.4 /100 \| #213	Poor 6.0%
Immigrants from Austria	14.3 /100 \| #214	Poor 6.0%
Immigrants from China	13.8 /100 \| #215	Poor 6.0%
Immigrants from Romania	13.8 /100 \| #216	Poor 6.0%
Nigerians	12.2 /100 \| #217	Poor 6.0%
Immigrants from Italy	11.0 /100 \| #218	Poor 6.0%
Serbians	11.0 /100 \| #219	Poor 6.0%
Russians	10.3 /100 \| #220	Poor 6.0%
Immigrants from Moldova	9.3 /100 \| #221	Tragic 6.0%
Cajuns	9.2 /100 \| #222	Tragic 6.0%

Immigrants from China 4 or more Vehicles in Household Correlation Summary

Measurement	Immigrants from China Data	4 or more Vehicles in Household Data
Minimum	0.17%	0.27%
Maximum	70.7%	17.9%
Range	70.6%	17.7%
Mean	16.9%	6.6%
Median	14.8%	6.6%
Interquartile 25% (IQ1)	7.4%	4.1%
Interquartile 75% (IQ3)	24.2%	8.3%
Interquartile Range (IQR)	16.8%	4.1%
Standard Deviation (Sample)	12.4%	3.8%
Standard Deviation (Population)	12.3%	3.8%

Correlation Details

Immigrants from China Percentile	Sample Size	4 or more Vehicles in Household
[ 0.0% - 0.5% ] 0.17%	219,805,519	7.1%
[ 0.5% - 1.0% ] 0.54%	93,288,662	6.7%
[ 0.5% - 1.0% ] 0.95%	38,291,226	6.7%
[ 1.0% - 1.5% ] 1.33%	25,277,962	6.2%
[ 1.5% - 2.0% ] 1.73%	13,860,854	5.7%
[ 2.0% - 2.5% ] 2.10%	10,256,999	6.7%
[ 2.5% - 3.0% ] 2.52%	5,085,949	6.4%
[ 2.5% - 3.0% ] 2.91%	5,651,951	7.3%
[ 3.0% - 3.5% ] 3.29%	5,115,502	4.9%
[ 3.5% - 4.0% ] 3.67%	3,054,301	7.6%
[ 4.0% - 4.5% ] 4.01%	2,828,227	6.0%
[ 4.5% - 5.0% ] 4.58%	11,810,913	1.9%
[ 4.5% - 5.0% ] 4.83%	1,644,569	6.6%
[ 5.0% - 5.5% ] 5.23%	1,096,280	5.3%
[ 5.5% - 6.0% ] 5.64%	2,234,543	7.7%
[ 6.0% - 6.5% ] 6.00%	716,709	6.3%
[ 6.0% - 6.5% ] 6.40%	1,041,577	5.8%
[ 6.5% - 7.0% ] 6.77%	1,055,518	8.6%
[ 7.0% - 7.5% ] 7.16%	971,110	7.5%
[ 7.5% - 8.0% ] 7.62%	698,489	6.2%
[ 7.5% - 8.0% ] 7.99%	973,894	6.6%
[ 8.0% - 8.5% ] 8.40%	851,456	7.7%
[ 8.5% - 9.0% ] 8.76%	320,486	4.0%
[ 9.0% - 9.5% ] 9.04%	667,962	7.4%
[ 9.5% - 10.0% ] 9.55%	426,616	8.2%
[ 9.5% - 10.0% ] 9.88%	603,207	7.7%
[ 10.0% - 10.5% ] 10.25%	245,944	5.8%
[ 10.5% - 11.0% ] 10.70%	336,200	9.0%
[ 10.5% - 11.0% ] 10.99%	435,671	5.0%
[ 11.0% - 11.5% ] 11.41%	531,653	6.5%
[ 11.5% - 12.0% ] 11.81%	167,233	3.9%
[ 12.0% - 12.5% ] 12.35%	1,057,857	2.5%
[ 12.5% - 13.0% ] 12.68%	383,600	5.5%
[ 13.0% - 13.5% ] 13.07%	268,571	2.9%
[ 13.0% - 13.5% ] 13.39%	360,552	9.2%
[ 13.5% - 14.0% ] 13.88%	110,292	0.77%
[ 14.0% - 14.5% ] 14.28%	38,973	4.6%
[ 14.5% - 15.0% ] 14.63%	97,288	3.3%
[ 14.5% - 15.0% ] 14.93%	110,434	2.6%
[ 15.0% - 15.5% ] 15.39%	40,627	3.9%
[ 16.0% - 16.5% ] 16.11%	183,427	5.1%
[ 16.0% - 16.5% ] 16.38%	50,637	5.2%
[ 17.0% - 17.5% ] 17.19%	148,790	1.7%
[ 18.0% - 18.5% ] 18.02%	111,247	17.9%
[ 18.0% - 18.5% ] 18.40%	312,200	3.3%
[ 18.5% - 19.0% ] 18.92%	113,241	6.9%
[ 19.0% - 19.5% ] 19.18%	235,005	7.7%
[ 19.0% - 19.5% ] 19.44%	45,650	12.2%
[ 19.5% - 20.0% ] 19.85%	131,923	9.0%
[ 20.0% - 20.5% ] 20.31%	384	4.1%
[ 20.5% - 21.0% ] 20.98%	14,204	2.2%
[ 21.5% - 22.0% ] 21.65%	89,435	8.3%
[ 21.5% - 22.0% ] 21.87%	143,740	9.9%
[ 22.0% - 22.5% ] 22.31%	102,223	5.2%
[ 22.5% - 23.0% ] 22.68%	85,306	7.2%
[ 23.0% - 23.5% ] 23.13%	24,169	11.3%
[ 23.5% - 24.0% ] 23.82%	1,100	3.3%
[ 24.5% - 25.0% ] 24.66%	80,986	0.36%
[ 25.5% - 26.0% ] 25.74%	134,385	5.5%
[ 26.0% - 26.5% ] 26.09%	151,983	10.2%
[ 26.0% - 26.5% ] 26.46%	28,212	17.4%
[ 26.5% - 27.0% ] 26.87%	68,923	7.2%
[ 27.5% - 28.0% ] 27.63%	36,165	8.2%
[ 28.0% - 28.5% ] 28.13%	37,340	12.3%
[ 28.5% - 29.0% ] 28.67%	43,851	14.0%
[ 28.5% - 29.0% ] 28.73%	87,947	11.3%
[ 29.5% - 30.0% ] 29.68%	1,176	4.2%
[ 30.5% - 31.0% ] 30.51%	25,460	0.27%
[ 30.5% - 31.0% ] 30.69%	61,340	10.2%
[ 32.0% - 32.5% ] 32.09%	430	8.3%
[ 35.5% - 36.0% ] 35.57%	12,070	0.29%
[ 36.0% - 36.5% ] 36.36%	25,001	13.2%
[ 36.5% - 37.0% ] 36.69%	26,418	9.5%
[ 39.0% - 39.5% ] 39.16%	53,371	0.50%
[ 46.0% - 46.5% ] 46.27%	79,495	0.45%
[ 70.5% - 71.0% ] 70.75%	147	16.8%

Immigrants from China 4 or more Vehicles in Household

COMPARE

Immigrants from China 4 or more Vehicles in Household Poor

Immigrants from China 4 or more Vehicles in Household Correlation Chart

Demographics Similar to Immigrants from China by 4 or more Vehicles in Household

Immigrants from China 4 or more Vehicles in Household Correlation Summary

Correlation Details

Immigrants from China 4 or more Vehicles in Household
Poor