Immigrants from China vs Immigrants from Belarus Community Comparison

The statistical analysis conducted on geographies consisting of 147,099,619 people shows no correlation between the proportion of Immigrants from Belarus within Immigrant from China communities in the United States with a correlation coefficient (R) of -0.014. On average, for every 1% (one percent) increase in Immigrants from China within a typical geography, there is a decrease of 0.000% in Immigrants from Belarus. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from China corresponds to a decrease of 0.2 Immigrants from Belarus.

When considering income, the most significant differences between Immigrants from China and Immigrants from Belarus communities in the United States are seen in median household income ($105,335 compared to $94,399, a difference of 11.6%), householder income ages 25 - 44 years ($119,756 compared to $107,393, a difference of 11.5%), and householder income over 65 years ($69,174 compared to $62,162, a difference of 11.3%). Conversely, both communities are more comparable in terms of wage/income gap (26.7% compared to 25.7%, a difference of 3.7%), householder income under 25 years ($57,931 compared to $55,743, a difference of 3.9%), and median female earnings ($46,972 compared to $44,757, a difference of 5.0%).

When considering poverty, the most significant differences between Immigrants from China and Immigrants from Belarus communities in the United States are seen in receiving food stamps (9.6% compared to 11.5%, a difference of 20.5%), child poverty under the age of 16 (13.3% compared to 14.7%, a difference of 10.7%), and child poverty among girls under 16 (13.4% compared to 14.8%, a difference of 10.4%). Conversely, both communities are more comparable in terms of poverty (11.6% compared to 11.6%, a difference of 0.020%), male poverty (10.7% compared to 10.7%, a difference of 0.79%), and female poverty (12.5% compared to 12.8%, a difference of 2.2%).

When considering unemployment, the most significant differences between Immigrants from China and Immigrants from Belarus communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.7% compared to 8.4%, a difference of 9.4%), unemployment among women with children under 18 years (4.9% compared to 5.3%, a difference of 8.7%), and unemployment among ages 16 to 19 years (17.5% compared to 18.6%, a difference of 6.5%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.6%, a difference of 0.80%), unemployment among ages 55 to 59 years (5.0% compared to 4.9%, a difference of 1.3%), and unemployment among ages 60 to 64 years (5.1% compared to 5.0%, a difference of 1.8%).

When considering labor participation, the most significant differences between Immigrants from China and Immigrants from Belarus communities in the United States are seen in in labor force | age 16-19 (31.1% compared to 33.4%, a difference of 7.3%), in labor force | age 20-24 (71.1% compared to 73.0%, a difference of 2.7%), and in labor force | age 20-64 (79.7% compared to 80.1%, a difference of 0.50%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.8%, a difference of 0.080%), in labor force | age 45-54 (83.2% compared to 83.3%, a difference of 0.10%), and in labor force | age 30-34 (85.4% compared to 85.2%, a difference of 0.20%).

When considering family structure, the most significant differences between Immigrants from China and Immigrants from Belarus communities in the United States are seen in divorced or separated (10.0% compared to 11.2%, a difference of 11.4%), single mother households (5.1% compared to 5.5%, a difference of 8.5%), and births to unmarried women (24.7% compared to 25.6%, a difference of 3.9%). Conversely, both communities are more comparable in terms of currently married (47.9% compared to 48.1%, a difference of 0.60%), single father households (1.8% compared to 1.9%, a difference of 0.68%), and family households (64.7% compared to 63.7%, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Immigrants from China and Immigrants from Belarus communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 4.7%, a difference of 27.2%), 3 or more vehicles in household (18.2% compared to 15.5%, a difference of 17.3%), and no vehicles in household (15.2% compared to 16.7%, a difference of 10.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (84.9% compared to 83.3%, a difference of 1.9%), 2 or more vehicles in household (51.5% compared to 47.9%, a difference of 7.5%), and no vehicles in household (15.2% compared to 16.7%, a difference of 10.5%).

When considering education level, the most significant differences between Immigrants from China and Immigrants from Belarus communities in the United States are seen in doctorate degree (3.1% compared to 2.2%, a difference of 38.2%), no schooling completed (2.6% compared to 2.1%, a difference of 22.8%), and professional degree (6.7% compared to 5.5%, a difference of 21.6%). Conversely, both communities are more comparable in terms of ged/equivalency (86.9% compared to 87.3%, a difference of 0.41%), nursery school (97.5% compared to 98.0%, a difference of 0.49%), and kindergarten (97.4% compared to 97.9%, a difference of 0.49%).

When considering disability, the most significant differences between Immigrants from China and Immigrants from Belarus communities in the United States are seen in ambulatory disability (5.3% compared to 6.1%, a difference of 14.0%), self-care disability (2.3% compared to 2.6%, a difference of 13.5%), and disability age 35 to 64 (8.7% compared to 9.7%, a difference of 11.6%). Conversely, both communities are more comparable in terms of disability age over 75 (46.3% compared to 47.1%, a difference of 1.6%), cognitive disability (16.9% compared to 16.5%, a difference of 2.7%), and disability age under 5 (0.96% compared to 1.0%, a difference of 6.2%).