White/Caucasian vs Immigrants from Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 499,085,219 people shows a moderate negative correlation between the proportion of Immigrants from Eastern Asia within White/Caucasian communities in the United States with a correlation coefficient (R) of -0.460. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is a decrease of 0.023% in Immigrants from Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to a decrease of 22.8 Immigrants from Eastern Asia.

When considering income, the most significant differences between White/Caucasian and Immigrants from Eastern Asia communities in the United States are seen in householder income ages 25 - 44 years ($91,668 compared to $118,056, a difference of 28.8%), median household income ($82,029 compared to $104,796, a difference of 27.8%), and per capita income ($42,180 compared to $53,806, a difference of 27.6%). Conversely, both communities are more comparable in terms of wage/income gap (28.5% compared to 27.1%, a difference of 5.4%), householder income under 25 years ($50,336 compared to $57,123, a difference of 13.5%), and householder income over 65 years ($58,847 compared to $69,872, a difference of 18.7%).

When considering poverty, the most significant differences between White/Caucasian and Immigrants from Eastern Asia communities in the United States are seen in child poverty under the age of 5 (18.1% compared to 13.5%, a difference of 33.9%), female poverty among 25-34 year olds (14.7% compared to 11.2%, a difference of 30.8%), and single male poverty (14.5% compared to 11.4%, a difference of 26.8%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.8% compared to 4.8%, a difference of 0.46%), female poverty among 18-24 year olds (20.8% compared to 19.8%, a difference of 5.1%), and male poverty (11.1% compared to 10.4%, a difference of 7.2%).

When considering unemployment, the most significant differences between White/Caucasian and Immigrants from Eastern Asia communities in the United States are seen in unemployment among women with children under 6 years (8.4% compared to 6.3%, a difference of 32.7%), unemployment among seniors over 75 years (10.1% compared to 7.9%, a difference of 27.7%), and unemployment among women with children ages 6 to 17 years (9.6% compared to 7.7%, a difference of 24.7%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 0.19%), unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 1.2%), and unemployment among ages 20 to 24 years (10.1% compared to 10.3%, a difference of 1.7%).

When considering labor participation, the most significant differences between White/Caucasian and Immigrants from Eastern Asia communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 32.0%, a difference of 29.0%), in labor force | age 20-24 (76.9% compared to 71.8%, a difference of 7.2%), and in labor force | age > 16 (63.6% compared to 65.7%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.2% compared to 84.8%, a difference of 0.73%), in labor force | age 35-44 (83.6% compared to 84.7%, a difference of 1.3%), and in labor force | age 20-64 (78.5% compared to 79.9%, a difference of 1.8%).

When considering family structure, the most significant differences between White/Caucasian and Immigrants from Eastern Asia communities in the United States are seen in births to unmarried women (33.3% compared to 25.0%, a difference of 32.8%), single father households (2.4% compared to 1.9%, a difference of 26.6%), and divorced or separated (12.6% compared to 10.2%, a difference of 23.3%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 64.9%, a difference of 0.26%), married-couple households (48.6% compared to 48.8%, a difference of 0.35%), and family households with children (27.4% compared to 27.7%, a difference of 0.82%).

When considering vehicle availability, the most significant differences between White/Caucasian and Immigrants from Eastern Asia communities in the United States are seen in no vehicles in household (7.0% compared to 13.5%, a difference of 92.6%), 3 or more vehicles in household (22.6% compared to 18.8%, a difference of 19.9%), and 4 or more vehicles in household (7.4% compared to 6.2%, a difference of 18.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 86.5%, a difference of 7.6%), 2 or more vehicles in household (60.8% compared to 53.2%, a difference of 14.3%), and 4 or more vehicles in household (7.4% compared to 6.2%, a difference of 18.5%).

When considering education level, the most significant differences between White/Caucasian and Immigrants from Eastern Asia communities in the United States are seen in doctorate degree (1.8% compared to 3.0%, a difference of 68.7%), professional degree (4.1% compared to 6.6%, a difference of 61.2%), and master's degree (13.8% compared to 20.8%, a difference of 50.7%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.8% compared to 91.8%, a difference of 0.080%), high school diploma (90.1% compared to 89.9%, a difference of 0.25%), and 11th grade (93.3% compared to 92.7%, a difference of 0.65%).

When considering disability, the most significant differences between White/Caucasian and Immigrants from Eastern Asia communities in the United States are seen in disability age under 5 (1.7% compared to 1.0%, a difference of 62.6%), disability age 35 to 64 (12.6% compared to 8.8%, a difference of 43.7%), and hearing disability (3.7% compared to 2.7%, a difference of 37.9%). Conversely, both communities are more comparable in terms of cognitive disability (17.0% compared to 16.8%, a difference of 1.0%), disability age over 75 (47.3% compared to 46.2%, a difference of 2.6%), and self-care disability (2.6% compared to 2.3%, a difference of 10.9%).