Immigrants from Hong Kong vs Immigrants from Moldova Community Comparison

The statistical analysis conducted on geographies consisting of 102,225,471 people shows a poor negative correlation between the proportion of Immigrants from Moldova within Immigrant from Hong Kong communities in the United States with a correlation coefficient (R) of -0.176. On average, for every 1% (one percent) increase in Immigrants from Hong Kong within a typical geography, there is a decrease of 0.009% in Immigrants from Moldova. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hong Kong corresponds to a decrease of 8.7 Immigrants from Moldova.

When considering income, the most significant differences between Immigrants from Hong Kong and Immigrants from Moldova communities in the United States are seen in householder income ages 25 - 44 years ($128,140 compared to $101,091, a difference of 26.8%), median household income ($111,519 compared to $91,446, a difference of 22.0%), and per capita income ($56,709 compared to $47,489, a difference of 19.4%). Conversely, both communities are more comparable in terms of wage/income gap (25.5% compared to 26.2%, a difference of 2.6%), householder income under 25 years ($62,083 compared to $56,168, a difference of 10.5%), and householder income over 65 years ($71,567 compared to $62,939, a difference of 13.7%).

When considering poverty, the most significant differences between Immigrants from Hong Kong and Immigrants from Moldova communities in the United States are seen in receiving food stamps (9.1% compared to 10.9%, a difference of 19.9%), female poverty among 25-34 year olds (10.4% compared to 12.1%, a difference of 17.0%), and child poverty under the age of 5 (12.4% compared to 14.5%, a difference of 16.7%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.7% compared to 4.7%, a difference of 0.70%), female poverty among 18-24 year olds (17.5% compared to 17.9%, a difference of 2.3%), and male poverty (9.6% compared to 9.9%, a difference of 3.8%).

When considering unemployment, the most significant differences between Immigrants from Hong Kong and Immigrants from Moldova communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.2% compared to 8.4%, a difference of 16.8%), unemployment among women with children under 6 years (5.8% compared to 6.6%, a difference of 14.1%), and unemployment among ages 60 to 64 years (5.2% compared to 4.6%, a difference of 13.4%). 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 0.090%), unemployment among ages 16 to 19 years (17.4% compared to 17.1%, a difference of 1.8%), and unemployment among ages 30 to 34 years (5.0% compared to 5.1%, a difference of 2.1%).

When considering labor participation, the most significant differences between Immigrants from Hong Kong and Immigrants from Moldova communities in the United States are seen in in labor force | age 16-19 (30.5% compared to 37.7%, a difference of 23.7%), in labor force | age 20-24 (71.6% compared to 76.6%, a difference of 7.0%), and in labor force | age 30-34 (85.8% compared to 85.3%, a difference of 0.66%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.6% compared to 83.7%, a difference of 0.060%), in labor force | age 25-29 (85.0% compared to 85.1%, a difference of 0.10%), and in labor force | age 35-44 (85.2% compared to 85.0%, a difference of 0.18%).

When considering family structure, the most significant differences between Immigrants from Hong Kong and Immigrants from Moldova communities in the United States are seen in divorced or separated (10.0% compared to 12.1%, a difference of 20.9%), single mother households (4.8% compared to 5.6%, a difference of 16.8%), and single father households (1.8% compared to 2.1%, a difference of 16.5%). Conversely, both communities are more comparable in terms of family households with children (27.5% compared to 27.6%, a difference of 0.39%), currently married (48.9% compared to 48.5%, a difference of 0.87%), and average family size (3.26 compared to 3.18, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Immigrants from Hong Kong and Immigrants from Moldova communities in the United States are seen in no vehicles in household (11.3% compared to 9.8%, a difference of 15.3%), 4 or more vehicles in household (6.5% compared to 6.0%, a difference of 8.7%), and 2 or more vehicles in household (52.6% compared to 56.1%, a difference of 6.8%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.2% compared to 19.1%, a difference of 0.47%), 1 or more vehicles in household (88.7% compared to 90.2%, a difference of 1.7%), and 2 or more vehicles in household (52.6% compared to 56.1%, a difference of 6.8%).

When considering education level, the most significant differences between Immigrants from Hong Kong and Immigrants from Moldova communities in the United States are seen in doctorate degree (2.8% compared to 2.0%, a difference of 42.1%), no schooling completed (2.7% compared to 2.0%, a difference of 35.0%), and professional degree (6.4% compared to 4.9%, a difference of 31.5%). Conversely, both communities are more comparable in terms of nursery school (97.4% compared to 98.0%, a difference of 0.71%), kindergarten (97.3% compared to 98.0%, a difference of 0.71%), and 1st grade (97.3% compared to 98.0%, a difference of 0.73%).

When considering disability, the most significant differences between Immigrants from Hong Kong and Immigrants from Moldova communities in the United States are seen in disability age 35 to 64 (8.2% compared to 10.6%, a difference of 29.0%), disability age 18 to 34 (5.2% compared to 6.5%, a difference of 25.4%), and disability age 5 to 17 (4.3% compared to 5.2%, a difference of 21.4%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 47.4%, a difference of 2.1%), cognitive disability (16.0% compared to 16.7%, a difference of 4.3%), and self-care disability (2.4% compared to 2.6%, a difference of 7.1%).