Immigrants from Europe vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 451,763,134 people shows no correlation between the proportion of Immigrants from China within Immigrant from Europe communities in the United States with a correlation coefficient (R) of 0.007. On average, for every 1% (one percent) increase in Immigrants from Europe within a typical geography, there is an increase of 0.002% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Europe corresponds to an increase of 1.6 Immigrants from China.

When considering income, the most significant differences between Immigrants from Europe and Immigrants from China communities in the United States are seen in householder income ages 25 - 44 years ($106,817 compared to $119,756, a difference of 12.1%), median household income ($95,032 compared to $105,335, a difference of 10.8%), and householder income ages 45 - 64 years ($111,984 compared to $122,178, a difference of 9.1%). Conversely, both communities are more comparable in terms of wage/income gap (27.1% compared to 26.7%, a difference of 1.7%), householder income under 25 years ($55,022 compared to $57,931, a difference of 5.3%), and per capita income ($50,950 compared to $54,264, a difference of 6.5%).

When considering poverty, the most significant differences between Immigrants from Europe and Immigrants from China communities in the United States are seen in child poverty under the age of 5 (15.1% compared to 13.6%, a difference of 11.4%), seniors poverty over the age of 65 (10.5% compared to 11.5%, a difference of 8.9%), and single father poverty (16.3% compared to 14.9%, a difference of 8.9%). Conversely, both communities are more comparable in terms of family poverty (7.9% compared to 7.8%, a difference of 0.57%), female poverty (12.1% compared to 12.5%, a difference of 3.1%), and poverty (11.2% compared to 11.6%, a difference of 4.3%).

When considering unemployment, the most significant differences between Immigrants from Europe and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 6.2%, a difference of 15.4%), unemployment among women with children ages 6 to 17 years (8.9% compared to 7.7%, a difference of 15.3%), and unemployment among seniors over 75 years (8.8% compared to 7.8%, a difference of 13.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 0.11%), unemployment among ages 65 to 74 years (5.4% compared to 5.4%, a difference of 0.20%), and unemployment among youth under 25 years (11.6% compared to 11.6%, a difference of 0.31%).

When considering labor participation, the most significant differences between Immigrants from Europe and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 31.1%, a difference of 16.3%), in labor force | age 20-24 (74.8% compared to 71.1%, a difference of 5.2%), and in labor force | age 25-29 (85.2% compared to 84.6%, a difference of 0.66%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.2% compared to 83.2%, a difference of 0.010%), in labor force | age 30-34 (85.3% compared to 85.4%, a difference of 0.070%), and in labor force | age 35-44 (84.9% compared to 84.7%, a difference of 0.17%).

When considering family structure, the most significant differences between Immigrants from Europe and Immigrants from China communities in the United States are seen in births to unmarried women (28.4% compared to 24.7%, a difference of 15.2%), divorced or separated (11.6% compared to 10.0%, a difference of 15.1%), and single father households (2.0% compared to 1.8%, a difference of 9.5%). Conversely, both communities are more comparable in terms of currently married (48.1% compared to 47.9%, a difference of 0.49%), family households (63.7% compared to 64.7%, a difference of 1.5%), and married-couple households (47.6% compared to 48.4%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Immigrants from Europe and Immigrants from China communities in the United States are seen in no vehicles in household (12.5% compared to 15.2%, a difference of 21.1%), 4 or more vehicles in household (5.7% compared to 6.0%, a difference of 5.4%), and 2 or more vehicles in household (53.2% compared to 51.5%, a difference of 3.4%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (18.1% compared to 18.2%, a difference of 0.43%), 1 or more vehicles in household (87.6% compared to 84.9%, a difference of 3.1%), and 2 or more vehicles in household (53.2% compared to 51.5%, a difference of 3.4%).

When considering education level, the most significant differences between Immigrants from Europe and Immigrants from China communities in the United States are seen in no schooling completed (1.9% compared to 2.6%, a difference of 34.7%), doctorate degree (2.3% compared to 3.1%, a difference of 33.7%), and professional degree (5.6% compared to 6.7%, a difference of 19.4%). Conversely, both communities are more comparable in terms of ged/equivalency (87.5% compared to 86.9%, a difference of 0.67%), nursery school (98.1% compared to 97.5%, a difference of 0.69%), and kindergarten (98.1% compared to 97.4%, a difference of 0.69%).

When considering disability, the most significant differences between Immigrants from Europe and Immigrants from China communities in the United States are seen in disability age under 5 (1.3% compared to 0.96%, a difference of 32.2%), hearing disability (3.1% compared to 2.6%, a difference of 17.4%), and disability age 35 to 64 (10.2% compared to 8.7%, a difference of 17.4%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 46.3%, a difference of 0.93%), cognitive disability (16.5% compared to 16.9%, a difference of 2.6%), and self-care disability (2.4% compared to 2.3%, a difference of 4.8%).