Chinese vs Immigrants from Eastern Europe Community Comparison

The statistical analysis conducted on geographies consisting of 63,411,577 people shows a weak negative correlation between the proportion of Immigrants from Eastern Europe within Chinese communities in the United States with a correlation coefficient (R) of -0.267. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 0.088% in Immigrants from Eastern Europe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to a decrease of 87.9 Immigrants from Eastern Europe.

When considering income, the most significant differences between Chinese and Immigrants from Eastern Europe communities in the United States are seen in householder income over 65 years ($77,465 compared to $62,693, a difference of 23.6%), median male earnings ($56,872 compared to $60,958, a difference of 7.2%), and per capita income ($46,098 compared to $49,316, a difference of 7.0%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($104,264 compared to $104,662, a difference of 0.38%), wage/income gap (25.9% compared to 26.4%, a difference of 1.8%), and median family income ($116,188 compared to $112,527, a difference of 3.3%).

When considering poverty, the most significant differences between Chinese and Immigrants from Eastern Europe communities in the United States are seen in seniors poverty over the age of 75 (9.1% compared to 12.6%, a difference of 38.9%), married-couple family poverty (3.6% compared to 4.9%, a difference of 33.8%), and seniors poverty over the age of 65 (8.3% compared to 10.9%, a difference of 30.5%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 15.8%, a difference of 2.9%), single male poverty (11.0% compared to 11.8%, a difference of 7.9%), and female poverty among 25-34 year olds (11.0% compared to 12.0%, a difference of 9.3%).

When considering unemployment, the most significant differences between Chinese and Immigrants from Eastern Europe communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 8.8%, a difference of 49.2%), unemployment among seniors over 65 years (4.2% compared to 5.1%, a difference of 22.7%), and unemployment among ages 60 to 64 years (4.0% compared to 4.9%, a difference of 22.6%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (6.8% compared to 7.1%, a difference of 3.9%), unemployment among ages 30 to 34 years (5.1% compared to 5.3%, a difference of 4.6%), and unemployment among ages 25 to 29 years (6.1% compared to 6.4%, a difference of 5.1%).

When considering labor participation, the most significant differences between Chinese and Immigrants from Eastern Europe communities in the United States are seen in in labor force | age 16-19 (38.6% compared to 35.8%, a difference of 8.0%), in labor force | age 20-24 (77.3% compared to 74.9%, a difference of 3.2%), and in labor force | age > 16 (64.7% compared to 65.4%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.1% compared to 84.9%, a difference of 0.18%), in labor force | age 30-34 (85.0% compared to 85.4%, a difference of 0.49%), and in labor force | age 20-64 (80.7% compared to 80.2%, a difference of 0.60%).

When considering family structure, the most significant differences between Chinese and Immigrants from Eastern Europe communities in the United States are seen in births to unmarried women (30.2% compared to 27.6%, a difference of 9.7%), single mother households (5.2% compared to 5.6%, a difference of 8.4%), and family households (68.1% compared to 64.0%, a difference of 6.5%). Conversely, both communities are more comparable in terms of single father households (2.0% compared to 2.0%, a difference of 0.98%), divorced or separated (11.2% compared to 11.5%, a difference of 2.4%), and currently married (49.5% compared to 48.0%, a difference of 3.1%).

When considering vehicle availability, the most significant differences between Chinese and Immigrants from Eastern Europe communities in the United States are seen in no vehicles in household (8.2% compared to 13.6%, a difference of 65.4%), 4 or more vehicles in household (8.8% compared to 5.4%, a difference of 62.8%), and 3 or more vehicles in household (23.9% compared to 17.4%, a difference of 37.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 86.7%, a difference of 5.9%), 2 or more vehicles in household (60.1% compared to 51.7%, a difference of 16.2%), and 3 or more vehicles in household (23.9% compared to 17.4%, a difference of 37.2%).

When considering education level, the most significant differences between Chinese and Immigrants from Eastern Europe communities in the United States are seen in no schooling completed (1.5% compared to 2.0%, a difference of 37.8%), master's degree (14.6% compared to 17.6%, a difference of 20.6%), and doctorate degree (1.8% compared to 2.1%, a difference of 19.5%). Conversely, both communities are more comparable in terms of college, 1 year or more (62.2% compared to 62.4%, a difference of 0.31%), nursery school (98.6% compared to 98.0%, a difference of 0.57%), and kindergarten (98.5% compared to 98.0%, a difference of 0.57%).

When considering disability, the most significant differences between Chinese and Immigrants from Eastern Europe communities in the United States are seen in hearing disability (3.7% compared to 3.0%, a difference of 23.8%), male disability (12.1% compared to 10.7%, a difference of 12.2%), and disability age 5 to 17 (4.7% compared to 5.1%, a difference of 9.5%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (21.7% compared to 21.8%, a difference of 0.41%), vision disability (2.0% compared to 2.0%, a difference of 0.82%), and disability age 35 to 64 (10.3% compared to 10.1%, a difference of 2.2%).