Immigrants from Uganda vs Tlingit-Haida 1 or more Vehicles in Household

The statistical analysis conducted on geographies consisting of 125,961,827 people shows no correlation between the proportion of Immigrants from Uganda and percentage of households with 1 or more vehicles available in the United States with a correlation coefficient (R) of 0.028 and weighted average of 90.1%. Similarly, the statistical analysis conducted on geographies consisting of 60,855,419 people shows a poor negative correlation between the proportion of Tlingit-Haida and percentage of households with 1 or more vehicles available in the United States with a correlation coefficient (R) of -0.136 and weighted average of 90.1%, a difference of 0.010%.

1 or more Vehicles in Household Correlation Summary

Measurement	Immigrants from Uganda	Tlingit-Haida
Minimum	78.1%	13.7%
Maximum	100.0%	99.6%
Range	21.9%	85.9%
Mean	92.2%	83.5%
Median	92.7%	90.3%
Interquartile 25% (IQ1)	89.9%	84.6%
Interquartile 75% (IQ3)	96.2%	93.5%
Interquartile Range (IQR)	6.3%	9.0%
Standard Deviation (Sample)	5.3%	21.0%
Standard Deviation (Population)	5.2%	20.7%

Demographics Similar to Immigrants from Uganda and Tlingit-Haida by 1 or more Vehicles in Household

In terms of 1 or more vehicles in household, the demographic groups most similar to Immigrants from Uganda are New Zealander (90.1%, a difference of 0.0%), Immigrants (90.1%, a difference of 0.0%), Immigrants from Bosnia and Herzegovina (90.1%, a difference of 0.030%), Australian (90.0%, a difference of 0.030%), and Immigrants from Micronesia (90.1%, a difference of 0.040%). Similarly, the demographic groups most similar to Tlingit-Haida are New Zealander (90.1%, a difference of 0.010%), Immigrants (90.1%, a difference of 0.010%), Immigrants from Bosnia and Herzegovina (90.1%, a difference of 0.020%), Immigrants from Micronesia (90.1%, a difference of 0.030%), and Australian (90.0%, a difference of 0.040%).

Demographics	Rating \| Rank	1 or more Vehicles in Household
Immigrants \| Bahamas	81.5 /100 \| #143	Excellent 90.2%
Immigrants \| 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 \| Eastern Africa	78.2 /100 \| #148	Good 90.1%
Immigrants \| Nicaragua	76.7 /100 \| #149	Good 90.1%
Immigrants \| Micronesia	75.9 /100 \| #150	Good 90.1%
Immigrants \| Bosnia and Herzegovina	75.4 /100 \| #151	Good 90.1%
Tlingit-Haida	74.3 /100 \| #152	Good 90.1%
New Zealanders	73.8 /100 \| #153	Good 90.1%
Immigrants \| Uganda	73.8 /100 \| #154	Good 90.1%
Immigrants \| Immigrants	73.6 /100 \| #155	Good 90.1%
Australians	72.4 /100 \| #156	Good 90.0%
Immigrants \| Congo	71.2 /100 \| #157	Good 90.0%
Brazilians	71.0 /100 \| #158	Good 90.0%
South Africans	69.7 /100 \| #159	Good 90.0%
Immigrants \| Indonesia	68.8 /100 \| #160	Good 90.0%
Salvadorans	68.7 /100 \| #161	Good 90.0%
Spanish American Indians	67.0 /100 \| #162	Good 89.9%
Immigrants \| Austria	65.5 /100 \| #163	Good 89.9%