Eastern European vs Chinese Community Comparison

The statistical analysis conducted on geographies consisting of 62,555,215 people shows a mild positive correlation between the proportion of Chinese within Eastern European communities in the United States with a correlation coefficient (R) of 0.355. On average, for every 1% (one percent) increase in Eastern Europeans within a typical geography, there is an increase of 0.213% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Eastern Europeans corresponds to an increase of 212.7 Chinese.

When considering income, the most significant differences between Eastern European and Chinese communities in the United States are seen in per capita income ($55,780 compared to $46,098, a difference of 21.0%), median male earnings ($66,472 compared to $56,872, a difference of 16.9%), and median earnings ($55,084 compared to $48,836, a difference of 12.8%). Conversely, both communities are more comparable in terms of median household income ($101,781 compared to $98,496, a difference of 3.3%), householder income ages 45 - 64 years ($120,684 compared to $116,156, a difference of 3.9%), and householder income under 25 years ($54,066 compared to $58,162, a difference of 7.6%).

When considering poverty, the most significant differences between Eastern European and Chinese communities in the United States are seen in seniors poverty over the age of 75 (11.3% compared to 9.1%, a difference of 24.2%), female poverty among 18-24 year olds (19.9% compared to 16.2%, a difference of 23.2%), and single female poverty (19.1% compared to 16.1%, a difference of 18.5%). Conversely, both communities are more comparable in terms of receiving food stamps (9.2% compared to 9.8%, a difference of 6.6%), single father poverty (16.6% compared to 15.4%, a difference of 8.0%), and female poverty among 25-34 year olds (12.0% compared to 11.0%, a difference of 9.6%).

When considering unemployment, the most significant differences between Eastern European and Chinese communities in the United States are seen in unemployment among seniors over 75 years (8.9% compared to 5.9%, a difference of 50.0%), unemployment among ages 60 to 64 years (4.9% compared to 4.0%, a difference of 23.4%), and unemployment among seniors over 65 years (5.0% compared to 4.2%, a difference of 20.3%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 0.81%), male unemployment (5.0% compared to 4.9%, a difference of 1.7%), and unemployment among women with children under 18 years (5.0% compared to 4.9%, a difference of 1.7%).

When considering labor participation, the most significant differences between Eastern European and Chinese communities in the United States are seen in in labor force | age 16-19 (36.4% compared to 38.6%, a difference of 6.2%), in labor force | age 20-24 (74.8% compared to 77.3%, a difference of 3.4%), and in labor force | age 25-29 (85.5% compared to 84.3%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.2% compared to 85.1%, a difference of 0.18%), in labor force | age 20-64 (80.2% compared to 80.7%, a difference of 0.57%), and in labor force | age > 16 (65.1% compared to 64.7%, a difference of 0.68%).

When considering family structure, the most significant differences between Eastern European and Chinese communities in the United States are seen in births to unmarried women (27.7% compared to 30.2%, a difference of 9.0%), family households (63.4% compared to 68.1%, a difference of 7.4%), and average family size (3.12 compared to 3.34, a difference of 7.1%). Conversely, both communities are more comparable in terms of single mother households (5.2% compared to 5.2%, a difference of 0.53%), single father households (2.0% compared to 2.0%, a difference of 0.79%), and divorced or separated (11.3% compared to 11.2%, a difference of 1.0%).

When considering vehicle availability, the most significant differences between Eastern European and Chinese communities in the United States are seen in 4 or more vehicles in household (5.9% compared to 8.8%, a difference of 49.8%), no vehicles in household (11.7% compared to 8.2%, a difference of 41.9%), and 3 or more vehicles in household (18.7% compared to 23.9%, a difference of 27.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.5% compared to 91.9%, a difference of 3.8%), 2 or more vehicles in household (54.8% compared to 60.1%, a difference of 9.6%), and 3 or more vehicles in household (18.7% compared to 23.9%, a difference of 27.6%).

When considering education level, the most significant differences between Eastern European and Chinese communities in the United States are seen in doctorate degree (2.8% compared to 1.8%, a difference of 59.8%), professional degree (7.1% compared to 4.5%, a difference of 59.0%), and master's degree (21.1% compared to 14.6%, a difference of 44.9%). Conversely, both communities are more comparable in terms of 9th grade (96.3% compared to 96.3%, a difference of 0.0%), 7th grade (97.2% compared to 97.1%, a difference of 0.040%), and 8th grade (97.0% compared to 96.9%, a difference of 0.040%).

When considering disability, the most significant differences between Eastern European and Chinese communities in the United States are seen in disability age under 5 (1.4% compared to 1.1%, a difference of 20.0%), hearing disability (3.1% compared to 3.7%, a difference of 18.1%), and ambulatory disability (5.7% compared to 6.5%, a difference of 13.2%). Conversely, both communities are more comparable in terms of cognitive disability (16.3% compared to 15.9%, a difference of 2.4%), disability age 18 to 34 (6.5% compared to 6.3%, a difference of 3.3%), and disability age 35 to 64 (10.0% compared to 10.3%, a difference of 3.4%).