Belgian vs Immigrants from Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 338,197,909 people shows a moderate negative correlation between the proportion of Immigrants from Eastern Asia within Belgian communities in the United States with a correlation coefficient (R) of -0.453. On average, for every 1% (one percent) increase in Belgians within a typical geography, there is a decrease of 0.037% in Immigrants from Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Belgians corresponds to a decrease of 36.6 Immigrants from Eastern Asia.

When considering income, the most significant differences between Belgian and Immigrants from Eastern Asia communities in the United States are seen in householder income ages 25 - 44 years ($94,262 compared to $118,056, a difference of 25.2%), median household income ($84,008 compared to $104,796, a difference of 24.7%), and per capita income ($43,951 compared to $53,806, a difference of 22.4%). Conversely, both communities are more comparable in terms of wage/income gap (28.8% compared to 27.1%, a difference of 6.3%), householder income under 25 years ($50,113 compared to $57,123, a difference of 14.0%), and householder income over 65 years ($59,915 compared to $69,872, a difference of 16.6%).

When considering poverty, the most significant differences between Belgian and Immigrants from Eastern Asia communities in the United States are seen in child poverty under the age of 5 (16.7% compared to 13.5%, a difference of 23.4%), female poverty among 25-34 year olds (13.4% compared to 11.2%, a difference of 19.8%), and single female poverty (21.5% compared to 18.1%, a difference of 18.8%). Conversely, both communities are more comparable in terms of male poverty (10.3% compared to 10.4%, a difference of 0.37%), poverty (11.4% compared to 11.3%, a difference of 0.69%), and female poverty among 18-24 year olds (19.9% compared to 19.8%, a difference of 0.70%).

When considering unemployment, the most significant differences between Belgian and Immigrants from Eastern Asia communities in the United States are seen in unemployment among seniors over 75 years (9.9% compared to 7.9%, a difference of 25.7%), unemployment among women with children under 6 years (7.6% compared to 6.3%, a difference of 20.2%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 7.7%, a difference of 19.5%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.020%), unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.35%), and unemployment among ages 35 to 44 years (4.3% compared to 4.4%, a difference of 1.1%).

When considering labor participation, the most significant differences between Belgian and Immigrants from Eastern Asia communities in the United States are seen in in labor force | age 16-19 (43.4% compared to 32.0%, a difference of 35.4%), in labor force | age 20-24 (77.8% compared to 71.8%, a difference of 8.4%), and in labor force | age > 16 (64.7% compared to 65.7%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.4% compared to 83.4%, a difference of 0.020%), in labor force | age 20-64 (79.9% compared to 79.9%, a difference of 0.040%), and in labor force | age 30-34 (85.2% compared to 85.4%, a difference of 0.17%).

When considering family structure, the most significant differences between Belgian and Immigrants from Eastern Asia communities in the United States are seen in births to unmarried women (31.6% compared to 25.0%, a difference of 26.2%), single father households (2.3% compared to 1.9%, a difference of 24.4%), and divorced or separated (12.3% compared to 10.2%, a difference of 20.0%). Conversely, both communities are more comparable in terms of currently married (48.7% compared to 48.2%, a difference of 1.1%), married-couple households (48.0% compared to 48.8%, a difference of 1.5%), and family households (63.8% compared to 64.9%, a difference of 1.8%).

When considering vehicle availability, the most significant differences between Belgian and Immigrants from Eastern Asia communities in the United States are seen in no vehicles in household (8.0% compared to 13.5%, a difference of 69.7%), 3 or more vehicles in household (21.2% compared to 18.8%, a difference of 12.4%), and 2 or more vehicles in household (59.3% compared to 53.2%, a difference of 11.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.1% compared to 86.5%, a difference of 6.5%), 4 or more vehicles in household (6.8% compared to 6.2%, a difference of 8.9%), and 2 or more vehicles in household (59.3% compared to 53.2%, a difference of 11.4%).

When considering education level, the most significant differences between Belgian and Immigrants from Eastern Asia communities in the United States are seen in doctorate degree (1.8% compared to 3.0%, a difference of 61.1%), professional degree (4.3% compared to 6.6%, a difference of 52.2%), and no schooling completed (1.6% compared to 2.4%, a difference of 49.9%). Conversely, both communities are more comparable in terms of ged/equivalency (87.7% compared to 87.4%, a difference of 0.30%), nursery school (98.5% compared to 97.7%, a difference of 0.84%), and kindergarten (98.5% compared to 97.6%, a difference of 0.85%).

When considering disability, the most significant differences between Belgian and Immigrants from Eastern Asia communities in the United States are seen in disability age under 5 (1.4% compared to 1.0%, a difference of 40.9%), disability age 35 to 64 (11.7% compared to 8.8%, a difference of 33.2%), and disability age 18 to 34 (7.4% compared to 5.6%, a difference of 32.2%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.8%, a difference of 0.63%), disability age over 75 (45.8% compared to 46.2%, a difference of 0.82%), and self-care disability (2.4% compared to 2.3%, a difference of 4.1%).