Northern European vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 363,518,298 people shows a weak positive correlation between the proportion of Immigrants from China within Northern European communities in the United States with a correlation coefficient (R) of 0.255. On average, for every 1% (one percent) increase in Northern Europeans within a typical geography, there is an increase of 0.068% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Northern Europeans corresponds to an increase of 68.4 Immigrants from China.

When considering income, the most significant differences between Northern European and Immigrants from China communities in the United States are seen in householder income ages 25 - 44 years ($100,457 compared to $119,756, a difference of 19.2%), median household income ($90,446 compared to $105,335, a difference of 16.5%), and median female earnings ($40,491 compared to $46,972, a difference of 16.0%). Conversely, both communities are more comparable in terms of wage/income gap (28.3% compared to 26.7%, a difference of 6.0%), householder income over 65 years ($64,658 compared to $69,174, a difference of 7.0%), and householder income under 25 years ($51,678 compared to $57,931, a difference of 12.1%).

When considering poverty, the most significant differences between Northern European and Immigrants from China communities in the United States are seen in seniors poverty over the age of 75 (10.7% compared to 13.2%, a difference of 23.8%), seniors poverty over the age of 65 (9.4% compared to 11.5%, a difference of 22.1%), and female poverty among 25-34 year olds (13.2% compared to 11.2%, a difference of 18.3%). Conversely, both communities are more comparable in terms of family poverty (7.8% compared to 7.8%, a difference of 0.25%), female poverty (12.4% compared to 12.5%, a difference of 1.3%), and female poverty among 18-24 year olds (20.6% compared to 20.2%, a difference of 2.1%).

When considering unemployment, the most significant differences between Northern European and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.2%, a difference of 20.6%), unemployment among seniors over 75 years (9.1% compared to 7.8%, a difference of 17.0%), and unemployment among women with children ages 6 to 17 years (8.8% compared to 7.7%, a difference of 13.9%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.12%), unemployment among women with children under 18 years (5.0% compared to 4.9%, a difference of 2.4%), and unemployment among ages 30 to 34 years (5.3% compared to 5.1%, a difference of 2.9%).

When considering labor participation, the most significant differences between Northern European and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (40.2% compared to 31.1%, a difference of 29.1%), in labor force | age 20-24 (76.8% compared to 71.1%, a difference of 8.0%), 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 20-64 (79.5% compared to 79.7%, a difference of 0.29%), in labor force | age 25-29 (84.9% compared to 84.6%, a difference of 0.30%), and in labor force | age 35-44 (84.3% compared to 84.7%, a difference of 0.44%).

When considering family structure, the most significant differences between Northern European and Immigrants from China communities in the United States are seen in births to unmarried women (30.6% compared to 24.7%, a difference of 23.9%), divorced or separated (12.2% compared to 10.0%, a difference of 21.9%), and single father households (2.2% compared to 1.8%, a difference of 21.6%). Conversely, both communities are more comparable in terms of married-couple households (48.4% compared to 48.4%, a difference of 0.060%), family households (64.1% compared to 64.7%, a difference of 0.94%), and family households with children (27.2% compared to 27.4%, a difference of 1.1%).

When considering vehicle availability, the most significant differences between Northern European and Immigrants from China communities in the United States are seen in no vehicles in household (7.9% compared to 15.2%, a difference of 91.1%), 3 or more vehicles in household (22.0% compared to 18.2%, a difference of 20.8%), and 4 or more vehicles in household (7.3% compared to 6.0%, a difference of 20.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.2% compared to 84.9%, a difference of 8.6%), 2 or more vehicles in household (59.9% compared to 51.5%, a difference of 16.2%), and 4 or more vehicles in household (7.3% compared to 6.0%, a difference of 20.8%).

When considering education level, the most significant differences between Northern European and Immigrants from China communities in the United States are seen in no schooling completed (1.6% compared to 2.6%, a difference of 62.3%), doctorate degree (2.2% compared to 3.1%, a difference of 38.3%), and professional degree (5.2% compared to 6.7%, a difference of 29.2%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 97.5%, a difference of 1.1%), kindergarten (98.5% compared to 97.4%, a difference of 1.1%), and 1st grade (98.5% compared to 97.4%, a difference of 1.1%).

When considering disability, the most significant differences between Northern European and Immigrants from China communities in the United States are seen in disability age under 5 (1.6% compared to 0.96%, a difference of 61.2%), disability age 18 to 34 (7.3% compared to 5.4%, a difference of 34.0%), and hearing disability (3.4% compared to 2.6%, a difference of 31.4%). Conversely, both communities are more comparable in terms of disability age over 75 (46.3% compared to 46.3%, a difference of 0.12%), cognitive disability (16.8% compared to 16.9%, a difference of 0.65%), and self-care disability (2.4% compared to 2.3%, a difference of 2.6%).