Immigrants from Europe vs Immigrants from Hong Kong Community Comparison

The statistical analysis conducted on geographies consisting of 253,541,664 people shows a poor positive correlation between the proportion of Immigrants from Hong Kong within Immigrant from Europe communities in the United States with a correlation coefficient (R) of 0.157. On average, for every 1% (one percent) increase in Immigrants from Europe within a typical geography, there is an increase of 0.005% in Immigrants from Hong Kong. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Europe corresponds to an increase of 4.9 Immigrants from Hong Kong.

When considering income, the most significant differences between Immigrants from Europe and Immigrants from Hong Kong communities in the United States are seen in householder income ages 25 - 44 years ($106,817 compared to $128,140, a difference of 20.0%), median household income ($95,032 compared to $111,519, a difference of 17.3%), and median female earnings ($43,523 compared to $49,818, a difference of 14.5%). Conversely, both communities are more comparable in terms of wage/income gap (27.1% compared to 25.5%, a difference of 6.2%), householder income over 65 years ($64,828 compared to $71,567, a difference of 10.4%), and per capita income ($50,950 compared to $56,709, a difference of 11.3%).

When considering poverty, the most significant differences between Immigrants from Europe and Immigrants from Hong Kong communities in the United States are seen in child poverty under the age of 5 (15.1% compared to 12.4%, a difference of 21.9%), child poverty among boys under 16 (14.5% compared to 12.3%, a difference of 18.6%), and female poverty among 25-34 year olds (12.2% compared to 10.4%, a difference of 17.3%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.6% compared to 4.7%, a difference of 1.9%), seniors poverty over the age of 65 (10.5% compared to 11.1%, a difference of 5.0%), and seniors poverty over the age of 75 (12.2% compared to 12.8%, a difference of 5.4%).

When considering unemployment, the most significant differences between Immigrants from Europe and Immigrants from Hong Kong communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 5.8%, a difference of 24.2%), unemployment among women with children ages 6 to 17 years (8.9% compared to 7.2%, a difference of 23.4%), and unemployment among seniors over 75 years (8.8% compared to 7.6%, a difference of 15.3%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.6% compared to 11.6%, a difference of 0.0%), unemployment among ages 20 to 24 years (10.4% compared to 10.5%, a difference of 0.060%), and female unemployment (5.1% compared to 5.1%, a difference of 0.32%).

When considering labor participation, the most significant differences between Immigrants from Europe and Immigrants from Hong Kong communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 30.5%, a difference of 18.9%), in labor force | age 20-24 (74.8% compared to 71.6%, a difference of 4.4%), and in labor force | age > 16 (65.0% compared to 65.7%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.2% compared to 85.0%, a difference of 0.16%), in labor force | age 35-44 (84.9% compared to 85.2%, a difference of 0.40%), and in labor force | age 45-54 (83.2% compared to 83.6%, a difference of 0.53%).

When considering family structure, the most significant differences between Immigrants from Europe and Immigrants from Hong Kong communities in the United States are seen in births to unmarried women (28.4% compared to 23.6%, a difference of 20.6%), divorced or separated (11.6% compared to 10.0%, a difference of 16.0%), and single mother households (5.5% compared to 4.8%, a difference of 14.1%). Conversely, both communities are more comparable in terms of currently married (48.1% compared to 48.9%, a difference of 1.7%), average family size (3.15 compared to 3.26, a difference of 3.5%), and family households with children (26.6% compared to 27.5%, a difference of 3.5%).

When considering vehicle availability, the most significant differences between Immigrants from Europe and Immigrants from Hong Kong communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 6.5%, a difference of 13.2%), no vehicles in household (12.5% compared to 11.3%, a difference of 10.7%), and 3 or more vehicles in household (18.1% compared to 19.2%, a difference of 5.6%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (53.2% compared to 52.6%, a difference of 1.3%), 1 or more vehicles in household (87.6% compared to 88.7%, a difference of 1.3%), and 3 or more vehicles in household (18.1% compared to 19.2%, a difference of 5.6%).

When considering education level, the most significant differences between Immigrants from Europe and Immigrants from Hong Kong communities in the United States are seen in no schooling completed (1.9% compared to 2.7%, a difference of 42.1%), doctorate degree (2.3% compared to 2.8%, a difference of 20.2%), and professional degree (5.6% compared to 6.4%, a difference of 13.7%). Conversely, both communities are more comparable in terms of ged/equivalency (87.5% compared to 86.9%, a difference of 0.62%), nursery school (98.1% compared to 97.4%, a difference of 0.82%), and kindergarten (98.1% compared to 97.3%, a difference of 0.82%).

When considering disability, the most significant differences between Immigrants from Europe and Immigrants from Hong Kong communities in the United States are seen in disability age under 5 (1.3% compared to 0.95%, a difference of 34.4%), disability age 35 to 64 (10.2% compared to 8.2%, a difference of 24.6%), and disability age 5 to 17 (5.3% compared to 4.3%, a difference of 23.0%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 46.5%, a difference of 1.3%), self-care disability (2.4% compared to 2.4%, a difference of 2.2%), and cognitive disability (16.5% compared to 16.0%, a difference of 2.9%).