Nonimmigrants vs Immigrants from Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 499,913,422 people shows a moderate negative correlation between the proportion of Immigrants from Eastern Asia within Nonimmigrant communities in the United States with a correlation coefficient (R) of -0.401. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is a decrease of 0.085% in Immigrants from Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to a decrease of 85.3 Immigrants from Eastern Asia.

When considering income, the most significant differences between Nonimmigrants and Immigrants from Eastern Asia communities in the United States are seen in householder income ages 25 - 44 years ($88,301 compared to $118,056, a difference of 33.7%), per capita income ($40,669 compared to $53,806, a difference of 32.3%), and median household income ($79,429 compared to $104,796, a difference of 31.9%). Conversely, both communities are more comparable in terms of wage/income gap (27.2% compared to 27.1%, a difference of 0.46%), householder income under 25 years ($49,348 compared to $57,123, a difference of 15.8%), and householder income over 65 years ($57,426 compared to $69,872, a difference of 21.7%).

When considering poverty, the most significant differences between Nonimmigrants and Immigrants from Eastern Asia communities in the United States are seen in child poverty under the age of 5 (19.7% compared to 13.5%, a difference of 46.1%), female poverty among 25-34 year olds (15.6% compared to 11.2%, a difference of 39.5%), and child poverty among girls under 16 (18.3% compared to 13.4%, a difference of 37.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.9% compared to 11.1%, a difference of 1.6%), seniors poverty over the age of 75 (12.2% compared to 12.8%, a difference of 4.6%), and female poverty among 18-24 year olds (21.5% compared to 19.8%, a difference of 8.9%).

When considering unemployment, the most significant differences between Nonimmigrants and Immigrants from Eastern Asia communities in the United States are seen in unemployment among women with children under 6 years (8.8% compared to 6.3%, a difference of 40.4%), unemployment among women with children ages 6 to 17 years (10.0% compared to 7.7%, a difference of 29.5%), and unemployment among seniors over 75 years (9.8% compared to 7.9%, a difference of 24.7%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.020%), unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 1.1%), and unemployment among ages 45 to 54 years (4.5% compared to 4.4%, a difference of 1.3%).

When considering labor participation, the most significant differences between Nonimmigrants and Immigrants from Eastern Asia communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 32.0%, a difference of 25.2%), in labor force | age 20-24 (76.2% compared to 71.8%, a difference of 6.1%), and in labor force | age > 16 (63.5% compared to 65.7%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.7% compared to 84.8%, a difference of 1.3%), in labor force | age 35-44 (83.2% compared to 84.7%, a difference of 1.8%), and in labor force | age 30-34 (83.5% compared to 85.4%, a difference of 2.2%).

When considering family structure, the most significant differences between Nonimmigrants and Immigrants from Eastern Asia communities in the United States are seen in births to unmarried women (35.5% compared to 25.0%, a difference of 41.9%), single mother households (6.7% compared to 5.1%, a difference of 31.1%), and single father households (2.4% compared to 1.9%, a difference of 29.5%). Conversely, both communities are more comparable in terms of family households (64.8% compared to 64.9%, a difference of 0.21%), family households with children (27.5% compared to 27.7%, a difference of 0.57%), and average family size (3.19 compared to 3.22, a difference of 1.1%).

When considering vehicle availability, the most significant differences between Nonimmigrants and Immigrants from Eastern Asia communities in the United States are seen in no vehicles in household (7.9% compared to 13.5%, a difference of 71.5%), 4 or more vehicles in household (7.2% compared to 6.2%, a difference of 16.2%), and 3 or more vehicles in household (21.8% compared to 18.8%, a difference of 15.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.2% compared to 86.5%, a difference of 6.6%), 2 or more vehicles in household (58.8% compared to 53.2%, a difference of 10.4%), and 3 or more vehicles in household (21.8% compared to 18.8%, a difference of 15.6%).

When considering education level, the most significant differences between Nonimmigrants and Immigrants from Eastern Asia communities in the United States are seen in doctorate degree (1.7% compared to 3.0%, a difference of 76.2%), professional degree (3.9% compared to 6.6%, a difference of 68.4%), and master's degree (13.3% compared to 20.8%, a difference of 56.3%). Conversely, both communities are more comparable in terms of 11th grade (92.7% compared to 92.7%, a difference of 0.070%), 10th grade (94.1% compared to 93.6%, a difference of 0.51%), and nursery school (98.3% compared to 97.7%, a difference of 0.62%).

When considering disability, the most significant differences between Nonimmigrants and Immigrants from Eastern Asia communities in the United States are seen in disability age under 5 (1.6% compared to 1.0%, a difference of 57.3%), disability age 35 to 64 (13.0% compared to 8.8%, a difference of 48.5%), and disability age 5 to 17 (6.3% compared to 4.6%, a difference of 37.8%). Conversely, both communities are more comparable in terms of cognitive disability (17.4% compared to 16.8%, a difference of 3.5%), disability age over 75 (48.0% compared to 46.2%, a difference of 4.1%), and self-care disability (2.6% compared to 2.3%, a difference of 14.6%).