White/Caucasian vs English Community Comparison

The statistical analysis conducted on geographies consisting of 580,043,578 people shows a perfect positive correlation between the proportion of English within White/Caucasian communities in the United States with a correlation coefficient (R) of 0.985. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is an increase of 0.146% in English. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to an increase of 145.8 English.

When considering income, the most significant differences between White/Caucasian and English communities in the United States are seen in householder income over 65 years ($58,847 compared to $61,487, a difference of 4.5%), per capita income ($42,180 compared to $43,982, a difference of 4.3%), and householder income ages 45 - 64 years ($98,091 compared to $102,021, a difference of 4.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,336 compared to $50,805, a difference of 0.93%), median female earnings ($37,531 compared to $38,196, a difference of 1.8%), and median earnings ($45,197 compared to $46,334, a difference of 2.5%).

When considering poverty, the most significant differences between White/Caucasian and English communities in the United States are seen in married-couple family poverty (4.8% compared to 4.2%, a difference of 14.2%), receiving food stamps (11.1% compared to 9.8%, a difference of 13.3%), and family poverty (8.8% compared to 7.9%, a difference of 11.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.8% compared to 20.5%, a difference of 1.3%), single male poverty (14.5% compared to 14.1%, a difference of 3.0%), and single father poverty (18.4% compared to 17.8%, a difference of 3.1%).

When considering unemployment, the most significant differences between White/Caucasian and English communities in the United States are seen in unemployment among women with children under 18 years (5.3% compared to 5.0%, a difference of 6.1%), unemployment (4.9% compared to 4.6%, a difference of 5.8%), and unemployment among ages 45 to 54 years (4.3% compared to 4.1%, a difference of 5.6%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (10.1% compared to 10.1%, a difference of 0.070%), unemployment among women with children ages 6 to 17 years (9.6% compared to 9.4%, a difference of 3.0%), and unemployment among ages 65 to 74 years (5.4% compared to 5.2%, a difference of 3.0%).

When considering labor participation, the most significant differences between White/Caucasian and English communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 42.4%, a difference of 2.6%), in labor force | age 20-24 (76.9% compared to 77.6%, a difference of 0.83%), and in labor force | age 45-54 (81.9% compared to 82.2%, a difference of 0.43%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (83.9% compared to 84.0%, a difference of 0.19%), in labor force | age 35-44 (83.6% compared to 83.8%, a difference of 0.22%), and in labor force | age > 16 (63.6% compared to 63.7%, a difference of 0.25%).

When considering family structure, the most significant differences between White/Caucasian and English communities in the United States are seen in single mother households (6.1% compared to 5.8%, a difference of 6.1%), births to unmarried women (33.3% compared to 31.7%, a difference of 4.8%), and single father households (2.4% compared to 2.3%, a difference of 3.7%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 65.1%, a difference of 0.010%), divorced or separated (12.6% compared to 12.6%, a difference of 0.030%), and family households with children (27.4% compared to 27.3%, a difference of 0.42%).

When considering vehicle availability, the most significant differences between White/Caucasian and English communities in the United States are seen in no vehicles in household (7.0% compared to 6.5%, a difference of 8.1%), 4 or more vehicles in household (7.4% compared to 7.6%, a difference of 3.6%), and 3 or more vehicles in household (22.6% compared to 23.1%, a difference of 2.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 93.8%, a difference of 0.77%), 2 or more vehicles in household (60.8% compared to 61.9%, a difference of 1.7%), and 3 or more vehicles in household (22.6% compared to 23.1%, a difference of 2.1%).

When considering education level, the most significant differences between White/Caucasian and English communities in the United States are seen in no schooling completed (1.6% compared to 1.4%, a difference of 17.6%), doctorate degree (1.8% compared to 1.9%, a difference of 9.1%), and professional degree (4.1% compared to 4.4%, a difference of 8.2%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 98.7%, a difference of 0.24%), kindergarten (98.4% compared to 98.7%, a difference of 0.24%), and 1st grade (98.4% compared to 98.6%, a difference of 0.25%).

When considering disability, the most significant differences between White/Caucasian and English communities in the United States are seen in self-care disability (2.6% compared to 2.5%, a difference of 3.5%), vision disability (2.4% compared to 2.3%, a difference of 2.6%), and disability age 65 to 74 (24.2% compared to 23.6%, a difference of 2.5%). Conversely, both communities are more comparable in terms of male disability (12.8% compared to 12.8%, a difference of 0.060%), disability (13.0% compared to 13.0%, a difference of 0.43%), and disability age under 5 (1.7% compared to 1.7%, a difference of 0.59%).