White/Caucasian vs Immigrants from Asia Community Comparison

The statistical analysis conducted on geographies consisting of 545,962,354 people shows a substantial negative correlation between the proportion of Immigrants from Asia within White/Caucasian communities in the United States with a correlation coefficient (R) of -0.560. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is a decrease of 0.065% in Immigrants from Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to a decrease of 64.6 Immigrants from Asia.

When considering income, the most significant differences between White/Caucasian and Immigrants from Asia communities in the United States are seen in median household income ($82,029 compared to $99,933, a difference of 21.8%), householder income ages 25 - 44 years ($91,668 compared to $110,787, a difference of 20.9%), and householder income ages 45 - 64 years ($98,091 compared to $116,566, a difference of 18.8%). Conversely, both communities are more comparable in terms of wage/income gap (28.5% compared to 27.0%, a difference of 5.8%), householder income under 25 years ($50,336 compared to $56,379, a difference of 12.0%), and householder income over 65 years ($58,847 compared to $67,594, a difference of 14.9%).

When considering poverty, the most significant differences between White/Caucasian and Immigrants from Asia communities in the United States are seen in single male poverty (14.5% compared to 11.4%, a difference of 27.2%), female poverty among 25-34 year olds (14.7% compared to 11.6%, a difference of 26.4%), and child poverty under the age of 5 (18.1% compared to 14.4%, a difference of 25.8%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.8% compared to 4.8%, a difference of 0.37%), seniors poverty over the age of 65 (10.0% compared to 10.6%, a difference of 5.4%), and seniors poverty over the age of 75 (11.4% compared to 12.2%, a difference of 6.8%).

When considering unemployment, the most significant differences between White/Caucasian and Immigrants from Asia communities in the United States are seen in unemployment among women with children under 6 years (8.4% compared to 6.8%, a difference of 23.4%), unemployment among seniors over 75 years (10.1% compared to 8.3%, a difference of 20.9%), and unemployment among women with children ages 6 to 17 years (9.6% compared to 8.1%, a difference of 19.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.45%), unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 0.84%), and unemployment among ages 55 to 59 years (4.7% compared to 4.8%, a difference of 1.1%).

When considering labor participation, the most significant differences between White/Caucasian and Immigrants from Asia communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 34.1%, a difference of 21.1%), in labor force | age 20-24 (76.9% compared to 73.6%, a difference of 4.5%), and in labor force | age > 16 (63.6% compared to 66.1%, a difference of 4.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.2% compared to 84.8%, a difference of 0.69%), in labor force | age 35-44 (83.6% compared to 84.5%, a difference of 1.1%), and in labor force | age 30-34 (83.9% compared to 85.0%, a difference of 1.3%).

When considering family structure, the most significant differences between White/Caucasian and Immigrants from Asia communities in the United States are seen in births to unmarried women (33.3% compared to 26.8%, a difference of 24.1%), divorced or separated (12.6% compared to 10.7%, a difference of 17.6%), and single father households (2.4% compared to 2.1%, a difference of 14.6%). Conversely, both communities are more comparable in terms of currently married (48.6% compared to 48.3%, a difference of 0.67%), married-couple households (48.6% compared to 49.1%, a difference of 0.95%), and family households (65.1% compared to 66.1%, a difference of 1.5%).

When considering vehicle availability, the most significant differences between White/Caucasian and Immigrants from Asia communities in the United States are seen in no vehicles in household (7.0% compared to 10.9%, a difference of 54.4%), 3 or more vehicles in household (22.6% compared to 20.2%, a difference of 11.6%), and 4 or more vehicles in household (7.4% compared to 6.8%, a difference of 8.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 89.3%, a difference of 4.3%), 2 or more vehicles in household (60.8% compared to 56.3%, a difference of 8.0%), and 4 or more vehicles in household (7.4% compared to 6.8%, a difference of 8.7%).

When considering education level, the most significant differences between White/Caucasian and Immigrants from Asia communities in the United States are seen in no schooling completed (1.6% compared to 2.4%, a difference of 48.4%), doctorate degree (1.8% compared to 2.4%, a difference of 38.1%), and professional degree (4.1% compared to 5.5%, a difference of 35.1%). Conversely, both communities are more comparable in terms of ged/equivalency (86.2% compared to 86.6%, a difference of 0.50%), 12th grade, no diploma (91.8% compared to 91.3%, a difference of 0.59%), and nursery school (98.5% compared to 97.6%, a difference of 0.86%).

When considering disability, the most significant differences between White/Caucasian and Immigrants from Asia communities in the United States are seen in disability age under 5 (1.7% compared to 1.1%, a difference of 56.3%), hearing disability (3.7% compared to 2.7%, a difference of 34.2%), and disability age 35 to 64 (12.6% compared to 9.5%, a difference of 33.2%). Conversely, both communities are more comparable in terms of disability age over 75 (47.3% compared to 47.0%, a difference of 0.66%), cognitive disability (17.0% compared to 16.8%, a difference of 1.1%), and self-care disability (2.6% compared to 2.4%, a difference of 8.1%).