Chinese vs European Community Comparison

The statistical analysis conducted on geographies consisting of 64,739,473 people shows a weak negative correlation between the proportion of Europeans within Chinese communities in the United States with a correlation coefficient (R) of -0.219. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 0.176% in Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to a decrease of 175.6 Europeans.

When considering income, the most significant differences between Chinese and European communities in the United States are seen in householder income over 65 years ($77,465 compared to $63,779, a difference of 21.5%), wage/income gap (25.9% compared to 29.4%, a difference of 13.4%), and householder income under 25 years ($58,162 compared to $51,796, a difference of 12.3%). Conversely, both communities are more comparable in terms of per capita income ($46,098 compared to $45,836, a difference of 0.57%), median male earnings ($56,872 compared to $57,637, a difference of 1.3%), and median earnings ($48,836 compared to $47,915, a difference of 1.9%).

When considering poverty, the most significant differences between Chinese and European communities in the United States are seen in single female poverty (16.1% compared to 21.1%, a difference of 30.8%), female poverty among 18-24 year olds (16.2% compared to 20.4%, a difference of 26.5%), and child poverty among boys under 16 (11.9% compared to 14.5%, a difference of 22.6%). Conversely, both communities are more comparable in terms of receiving food stamps (9.8% compared to 9.5%, a difference of 2.9%), single father poverty (15.4% compared to 16.6%, a difference of 8.0%), and seniors poverty over the age of 65 (8.3% compared to 9.2%, a difference of 10.0%).

When considering unemployment, the most significant differences between Chinese and European communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 9.7%, a difference of 63.5%), unemployment among seniors over 65 years (4.2% compared to 4.9%, a difference of 16.4%), and unemployment among ages 65 to 74 years (4.4% compared to 5.1%, a difference of 15.1%). Conversely, both communities are more comparable in terms of unemployment (4.7% compared to 4.6%, a difference of 0.14%), unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 0.20%), and unemployment among ages 16 to 19 years (16.0% compared to 16.1%, a difference of 0.48%).

When considering labor participation, the most significant differences between Chinese and European communities in the United States are seen in in labor force | age 16-19 (38.6% compared to 41.1%, a difference of 6.6%), in labor force | age 45-54 (84.1% compared to 82.6%, a difference of 1.8%), and in labor force | age 20-64 (80.7% compared to 79.3%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.7% compared to 64.7%, a difference of 0.040%), in labor force | age 20-24 (77.3% compared to 77.1%, a difference of 0.24%), and in labor force | age 25-29 (84.3% compared to 84.6%, a difference of 0.28%).

When considering family structure, the most significant differences between Chinese and European communities in the United States are seen in single father households (2.0% compared to 2.3%, a difference of 15.4%), single mother households (5.2% compared to 5.7%, a difference of 10.7%), and divorced or separated (11.2% compared to 12.2%, a difference of 9.4%). Conversely, both communities are more comparable in terms of births to unmarried women (30.2% compared to 30.2%, a difference of 0.030%), currently married (49.5% compared to 49.3%, a difference of 0.33%), and married-couple households (50.4% compared to 49.6%, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Chinese and European communities in the United States are seen in 4 or more vehicles in household (8.8% compared to 7.6%, a difference of 16.6%), no vehicles in household (8.2% compared to 7.1%, a difference of 15.5%), and 3 or more vehicles in household (23.9% compared to 22.9%, a difference of 4.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 93.0%, a difference of 1.3%), 2 or more vehicles in household (60.1% compared to 61.4%, a difference of 2.1%), and 3 or more vehicles in household (23.9% compared to 22.9%, a difference of 4.4%).

When considering education level, the most significant differences between Chinese and European communities in the United States are seen in doctorate degree (1.8% compared to 2.1%, a difference of 18.1%), master's degree (14.6% compared to 15.8%, a difference of 8.5%), and professional degree (4.5% compared to 4.8%, a difference of 8.1%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.6%, a difference of 0.030%), kindergarten (98.5% compared to 98.6%, a difference of 0.030%), and 1st grade (98.5% compared to 98.5%, a difference of 0.030%).

When considering disability, the most significant differences between Chinese and European communities in the United States are seen in disability age under 5 (1.1% compared to 1.5%, a difference of 33.3%), disability age 5 to 17 (4.7% compared to 5.8%, a difference of 23.8%), and disability age 18 to 34 (6.3% compared to 7.4%, a difference of 17.1%). Conversely, both communities are more comparable in terms of male disability (12.1% compared to 12.1%, a difference of 0.25%), disability (12.2% compared to 12.3%, a difference of 0.43%), and female disability (12.3% compared to 12.4%, a difference of 0.67%).