Indian (Asian) vs Immigrants from Hong Kong Community Comparison

The statistical analysis conducted on geographies consisting of 253,624,632 people shows a very strong positive correlation between the proportion of Immigrants from Hong Kong within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.862. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.065% in Immigrants from Hong Kong. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 65.1 Immigrants from Hong Kong.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Hong Kong communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $128,140, a difference of 7.2%), median female earnings ($46,481 compared to $49,818, a difference of 7.2%), and householder income under 25 years ($58,239 compared to $62,083, a difference of 6.6%). Conversely, both communities are more comparable in terms of householder income over 65 years ($70,238 compared to $71,567, a difference of 1.9%), wage/income gap (26.4% compared to 25.5%, a difference of 3.6%), and householder income ages 45 - 64 years ($122,343 compared to $127,500, a difference of 4.2%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Hong Kong communities in the United States are seen in female poverty among 18-24 year olds (19.6% compared to 17.5%, a difference of 12.3%), poverty (11.3% compared to 10.4%, a difference of 8.7%), and female poverty (12.2% compared to 11.2%, a difference of 8.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.1% compared to 11.1%, a difference of 0.21%), seniors poverty over the age of 75 (12.7% compared to 12.8%, a difference of 0.85%), and married-couple family poverty (4.8% compared to 4.7%, a difference of 2.1%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Hong Kong communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 5.8%, a difference of 8.9%), unemployment among women with children ages 6 to 17 years (7.7% compared to 7.2%, a difference of 7.5%), and unemployment among women with children under 18 years (4.9% compared to 4.7%, a difference of 4.7%). Conversely, both communities are more comparable in terms of female unemployment (5.1% compared to 5.1%, a difference of 0.070%), unemployment among ages 25 to 29 years (6.3% compared to 6.3%, a difference of 0.23%), and unemployment among ages 16 to 19 years (17.3% compared to 17.4%, a difference of 0.52%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Hong Kong communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 30.5%, a difference of 4.6%), in labor force | age 20-64 (79.9% compared to 80.4%, a difference of 0.68%), and in labor force | age 30-34 (85.4% compared to 85.8%, a difference of 0.52%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.5% compared to 65.7%, a difference of 0.30%), in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.36%), and in labor force | age 25-29 (84.7% compared to 85.0%, a difference of 0.38%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Hong Kong communities in the United States are seen in births to unmarried women (25.3% compared to 23.6%, a difference of 7.2%), single mother households (5.1% compared to 4.8%, a difference of 5.6%), and single father households (1.9% compared to 1.8%, a difference of 4.0%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.5%, a difference of 0.17%), average family size (3.24 compared to 3.26, a difference of 0.47%), and family households (65.1% compared to 66.1%, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Hong Kong communities in the United States are seen in no vehicles in household (14.1% compared to 11.3%, a difference of 24.4%), 1 or more vehicles in household (86.0% compared to 88.7%, a difference of 3.1%), and 2 or more vehicles in household (53.1% compared to 52.6%, a difference of 1.0%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.1% compared to 19.2%, a difference of 0.22%), 4 or more vehicles in household (6.4% compared to 6.5%, a difference of 0.70%), and 2 or more vehicles in household (53.1% compared to 52.6%, a difference of 1.0%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Hong Kong communities in the United States are seen in no schooling completed (2.5% compared to 2.7%, a difference of 9.2%), doctorate degree (2.9% compared to 2.8%, a difference of 4.9%), and professional degree (6.5% compared to 6.4%, a difference of 1.8%). Conversely, both communities are more comparable in terms of master's degree (20.5% compared to 20.5%, a difference of 0.020%), ged/equivalency (87.1% compared to 86.9%, a difference of 0.23%), and 12th grade, no diploma (91.5% compared to 91.3%, a difference of 0.24%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Hong Kong communities in the United States are seen in disability age 35 to 64 (8.9% compared to 8.2%, a difference of 8.0%), disability age 18 to 34 (5.5% compared to 5.2%, a difference of 6.4%), and disability age 5 to 17 (4.6% compared to 4.3%, a difference of 6.3%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.5%, a difference of 0.10%), ambulatory disability (5.4% compared to 5.3%, a difference of 0.45%), and female disability (10.8% compared to 10.6%, a difference of 1.6%).