Immigrants from Italy vs Immigrants from Hong Kong Community Comparison

The statistical analysis conducted on geographies consisting of 206,626,667 people shows a strong positive correlation between the proportion of Immigrants from Hong Kong within Immigrant from Italy communities in the United States with a correlation coefficient (R) of 0.785. On average, for every 1% (one percent) increase in Immigrants from Italy within a typical geography, there is an increase of 0.172% in Immigrants from Hong Kong. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Italy corresponds to an increase of 172.1 Immigrants from Hong Kong.

When considering income, the most significant differences between Immigrants from Italy and Immigrants from Hong Kong communities in the United States are seen in householder income ages 25 - 44 years ($105,201 compared to $128,140, a difference of 21.8%), median household income ($93,465 compared to $111,519, a difference of 19.3%), and median male earnings ($59,691 compared to $70,146, a difference of 17.5%). Conversely, both communities are more comparable in terms of wage/income gap (26.5% compared to 25.5%, a difference of 3.7%), householder income over 65 years ($64,065 compared to $71,567, a difference of 11.7%), and householder income under 25 years ($54,449 compared to $62,083, a difference of 14.0%).

When considering poverty, the most significant differences between Immigrants from Italy and Immigrants from Hong Kong communities in the United States are seen in child poverty under the age of 5 (15.6% compared to 12.4%, a difference of 25.1%), child poverty among boys under 16 (14.9% compared to 12.3%, a difference of 21.5%), and child poverty under the age of 16 (14.6% compared to 12.1%, a difference of 20.0%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.6% compared to 4.7%, a difference of 2.6%), female poverty among 18-24 year olds (18.4% compared to 17.5%, a difference of 5.4%), and male poverty (10.2% compared to 9.6%, a difference of 6.2%).

When considering unemployment, the most significant differences between Immigrants from Italy 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 25.1%), unemployment among women with children ages 6 to 17 years (9.0% compared to 7.2%, a difference of 25.1%), and unemployment among seniors over 75 years (8.8% compared to 7.6%, a difference of 14.9%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.7% compared to 11.6%, a difference of 0.27%), unemployment (5.1% compared to 5.2%, a difference of 0.34%), and unemployment among ages 20 to 24 years (10.4% compared to 10.5%, a difference of 0.41%).

When considering labor participation, the most significant differences between Immigrants from Italy and Immigrants from Hong Kong communities in the United States are seen in in labor force | age 16-19 (36.4% compared to 30.5%, a difference of 19.3%), in labor force | age 20-24 (74.6% compared to 71.6%, a difference of 4.2%), and in labor force | age > 16 (65.0% compared to 65.7%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.7% compared to 85.8%, a difference of 0.19%), in labor force | age 35-44 (85.0% compared to 85.2%, a difference of 0.22%), and in labor force | age 25-29 (85.4% compared to 85.0%, a difference of 0.44%).

When considering family structure, the most significant differences between Immigrants from Italy and Immigrants from Hong Kong communities in the United States are seen in births to unmarried women (29.9% compared to 23.6%, a difference of 26.7%), single mother households (5.8% compared to 4.8%, a difference of 19.4%), and divorced or separated (11.5% compared to 10.0%, a difference of 15.4%). Conversely, both communities are more comparable in terms of family households with children (27.0% compared to 27.5%, a difference of 2.0%), family households (64.8% compared to 66.1%, a difference of 2.1%), and average family size (3.19 compared to 3.26, a difference of 2.3%).

When considering vehicle availability, the most significant differences between Immigrants from Italy and Immigrants from Hong Kong communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 6.5%, a difference of 8.2%), 2 or more vehicles in household (54.4% compared to 52.6%, a difference of 3.5%), and no vehicles in household (11.0% compared to 11.3%, a difference of 2.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.1% compared to 88.7%, a difference of 0.35%), 3 or more vehicles in household (18.7% compared to 19.2%, a difference of 2.5%), and no vehicles in household (11.0% compared to 11.3%, a difference of 2.8%).

When considering education level, the most significant differences between Immigrants from Italy and Immigrants from Hong Kong communities in the United States are seen in doctorate degree (2.1% compared to 2.8%, a difference of 34.0%), no schooling completed (2.0% compared to 2.7%, a difference of 32.8%), and professional degree (5.2% compared to 6.4%, a difference of 24.3%). Conversely, both communities are more comparable in terms of ged/equivalency (86.7% compared to 86.9%, a difference of 0.23%), 12th grade, no diploma (91.7% compared to 91.3%, a difference of 0.45%), and high school diploma (89.8% compared to 89.3%, a difference of 0.60%).

When considering disability, the most significant differences between Immigrants from Italy 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 34.2%), disability age 35 to 64 (10.3% compared to 8.2%, a difference of 25.6%), and disability age 5 to 17 (5.3% compared to 4.3%, a difference of 23.8%). Conversely, both communities are more comparable in terms of disability age over 75 (45.8% compared to 46.5%, a difference of 1.4%), 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 3.0%).