Nonimmigrants vs Immigrants from South Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 512,740,312 people shows a weak negative correlation between the proportion of Immigrants from South Eastern Asia within Nonimmigrant communities in the United States with a correlation coefficient (R) of -0.299. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is a decrease of 0.041% in Immigrants from South Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to a decrease of 41.0 Immigrants from South Eastern Asia.

When considering income, the most significant differences between Nonimmigrants and Immigrants from South Eastern Asia communities in the United States are seen in median household income ($79,429 compared to $91,541, a difference of 15.2%), householder income ages 25 - 44 years ($88,301 compared to $100,283, a difference of 13.6%), and householder income under 25 years ($49,348 compared to $55,714, a difference of 12.9%). Conversely, both communities are more comparable in terms of median male earnings ($52,170 compared to $55,241, a difference of 5.9%), per capita income ($40,669 compared to $43,539, a difference of 7.1%), and median earnings ($44,117 compared to $47,671, a difference of 8.1%).

When considering poverty, the most significant differences between Nonimmigrants and Immigrants from South Eastern Asia communities in the United States are seen in single father poverty (18.8% compared to 14.4%, a difference of 31.3%), single male poverty (14.6% compared to 11.4%, a difference of 27.4%), and child poverty under the age of 5 (19.7% compared to 15.7%, a difference of 26.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.2% compared to 12.2%, a difference of 0.21%), seniors poverty over the age of 65 (10.9% compared to 10.8%, a difference of 0.65%), and married-couple family poverty (5.3% compared to 5.1%, a difference of 4.3%).

When considering unemployment, the most significant differences between Nonimmigrants and Immigrants from South Eastern Asia communities in the United States are seen in unemployment among women with children under 6 years (8.8% compared to 7.2%, a difference of 23.3%), unemployment among women with children ages 6 to 17 years (10.0% compared to 8.2%, a difference of 21.5%), and unemployment among seniors over 75 years (9.8% compared to 8.5%, a difference of 15.2%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.040%), unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.38%), and male unemployment (5.4% compared to 5.4%, a difference of 1.4%).

When considering labor participation, the most significant differences between Nonimmigrants and Immigrants from South Eastern Asia communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 35.6%, a difference of 12.6%), in labor force | age > 16 (63.5% compared to 65.9%, a difference of 3.8%), and in labor force | age 20-64 (78.1% compared to 79.8%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.7% compared to 84.4%, a difference of 0.84%), in labor force | age 35-44 (83.2% compared to 84.2%, a difference of 1.2%), and in labor force | age 30-34 (83.5% compared to 84.7%, a difference of 1.4%).

When considering family structure, the most significant differences between Nonimmigrants and Immigrants from South Eastern Asia communities in the United States are seen in births to unmarried women (35.5% compared to 30.4%, a difference of 17.0%), divorced or separated (12.8% compared to 11.4%, a difference of 11.7%), and single mother households (6.7% compared to 6.3%, a difference of 6.1%). Conversely, both communities are more comparable in terms of currently married (46.9% compared to 47.1%, a difference of 0.32%), single father households (2.4% compared to 2.4%, a difference of 1.5%), and married-couple households (46.9% compared to 48.4%, a difference of 3.3%).

When considering vehicle availability, the most significant differences between Nonimmigrants and Immigrants from South Eastern Asia communities in the United States are seen in 4 or more vehicles in household (7.2% compared to 8.2%, a difference of 13.9%), no vehicles in household (7.9% compared to 8.6%, a difference of 8.8%), and 3 or more vehicles in household (21.8% compared to 23.1%, a difference of 6.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.2% compared to 91.4%, a difference of 0.85%), 2 or more vehicles in household (58.8% compared to 59.6%, a difference of 1.4%), and 3 or more vehicles in household (21.8% compared to 23.1%, a difference of 6.1%).

When considering education level, the most significant differences between Nonimmigrants and Immigrants from South Eastern Asia communities in the United States are seen in no schooling completed (1.8% compared to 2.9%, a difference of 61.2%), bachelor's degree (34.2% compared to 36.8%, a difference of 7.8%), and associate's degree (42.9% compared to 45.2%, a difference of 5.2%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 97.1%, a difference of 1.2%), kindergarten (98.3% compared to 97.1%, a difference of 1.2%), and 1st grade (98.2% compared to 97.1%, a difference of 1.2%).

When considering disability, the most significant differences between Nonimmigrants and Immigrants from South Eastern Asia communities in the United States are seen in disability age under 5 (1.6% compared to 1.1%, a difference of 40.0%), disability age 35 to 64 (13.0% compared to 10.6%, a difference of 23.4%), and disability age 5 to 17 (6.3% compared to 5.2%, a difference of 21.9%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 48.7%, a difference of 1.3%), cognitive disability (17.4% compared to 17.0%, a difference of 2.2%), and self-care disability (2.6% compared to 2.5%, a difference of 4.7%).