Immigrants from Panama vs Immigrants from Hong Kong Community Comparison

The statistical analysis conducted on geographies consisting of 149,345,329 people shows a poor positive correlation between the proportion of Immigrants from Hong Kong within Immigrant from Panama communities in the United States with a correlation coefficient (R) of 0.105. On average, for every 1% (one percent) increase in Immigrants from Panama within a typical geography, there is an increase of 0.022% in Immigrants from Hong Kong. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Panama corresponds to an increase of 22.2 Immigrants from Hong Kong.

When considering income, the most significant differences between Immigrants from Panama and Immigrants from Hong Kong communities in the United States are seen in householder income ages 25 - 44 years ($89,451 compared to $128,140, a difference of 43.2%), median household income ($80,873 compared to $111,519, a difference of 37.9%), and median family income ($95,647 compared to $131,067, a difference of 37.0%). Conversely, both communities are more comparable in terms of wage/income gap (23.4% compared to 25.5%, a difference of 9.0%), householder income under 25 years ($51,278 compared to $62,083, a difference of 21.1%), and householder income over 65 years ($56,944 compared to $71,567, a difference of 25.7%).

When considering poverty, the most significant differences between Immigrants from Panama and Immigrants from Hong Kong communities in the United States are seen in receiving food stamps (13.6% compared to 9.1%, a difference of 50.0%), child poverty under the age of 5 (18.5% compared to 12.4%, a difference of 48.5%), and child poverty under the age of 16 (17.7% compared to 12.1%, a difference of 46.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (13.9% compared to 12.8%, a difference of 8.4%), female poverty among 18-24 year olds (19.4% compared to 17.5%, a difference of 11.3%), and single father poverty (15.9% compared to 14.2%, a difference of 11.4%).

When considering unemployment, the most significant differences between Immigrants from Panama and Immigrants from Hong Kong communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 5.8%, a difference of 33.4%), unemployment among women with children ages 6 to 17 years (9.1% compared to 7.2%, a difference of 26.3%), and unemployment among women with children under 18 years (5.8% compared to 4.7%, a difference of 23.0%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 0.30%), unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.44%), and unemployment among ages 45 to 54 years (4.6% compared to 4.5%, a difference of 2.3%).

When considering labor participation, the most significant differences between Immigrants from Panama and Immigrants from Hong Kong communities in the United States are seen in in labor force | age 16-19 (34.0% compared to 30.5%, a difference of 11.5%), in labor force | age 20-24 (73.9% compared to 71.6%, a difference of 3.2%), and in labor force | age 30-34 (84.3% compared to 85.8%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.1% compared to 65.7%, a difference of 0.99%), in labor force | age 25-29 (84.2% compared to 85.0%, a difference of 1.0%), and in labor force | age 35-44 (84.0% compared to 85.2%, a difference of 1.4%).

When considering family structure, the most significant differences between Immigrants from Panama and Immigrants from Hong Kong communities in the United States are seen in single mother households (7.2% compared to 4.8%, a difference of 48.1%), births to unmarried women (34.2% compared to 23.6%, a difference of 45.1%), and single father households (2.4% compared to 1.8%, a difference of 28.4%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.26, a difference of 0.46%), family households with children (27.7% compared to 27.5%, a difference of 0.61%), and family households (64.8% compared to 66.1%, a difference of 2.0%).

When considering vehicle availability, the most significant differences between Immigrants from Panama and Immigrants from Hong Kong communities in the United States are seen in no vehicles in household (14.6% compared to 11.3%, a difference of 29.5%), 4 or more vehicles in household (5.7% compared to 6.5%, a difference of 14.5%), and 3 or more vehicles in household (17.7% compared to 19.2%, a difference of 8.1%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (51.1% compared to 52.6%, a difference of 2.9%), 1 or more vehicles in household (85.4% compared to 88.7%, a difference of 3.9%), and 3 or more vehicles in household (17.7% compared to 19.2%, a difference of 8.1%).

When considering education level, the most significant differences between Immigrants from Panama and Immigrants from Hong Kong communities in the United States are seen in doctorate degree (1.6% compared to 2.8%, a difference of 74.6%), professional degree (4.1% compared to 6.4%, a difference of 56.6%), and master's degree (14.3% compared to 20.5%, a difference of 43.4%). Conversely, both communities are more comparable in terms of 10th grade (93.1% compared to 93.1%, a difference of 0.010%), 9th grade (94.3% compared to 94.1%, a difference of 0.21%), and 5th grade (97.0% compared to 96.7%, a difference of 0.38%).

When considering disability, the most significant differences between Immigrants from Panama and Immigrants from Hong Kong communities in the United States are seen in disability age 35 to 64 (11.6% compared to 8.2%, a difference of 41.2%), disability age 5 to 17 (5.8% compared to 4.3%, a difference of 34.2%), and vision disability (2.3% compared to 1.8%, a difference of 29.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.9% compared to 46.5%, a difference of 3.1%), self-care disability (2.6% compared to 2.4%, a difference of 8.6%), and cognitive disability (17.5% compared to 16.0%, a difference of 9.2%).