Immigrants from Peru vs Immigrants from Hong Kong Community Comparison

The statistical analysis conducted on geographies consisting of 211,960,577 people shows a weak negative correlation between the proportion of Immigrants from Hong Kong within Immigrant from Peru communities in the United States with a correlation coefficient (R) of -0.218. On average, for every 1% (one percent) increase in Immigrants from Peru within a typical geography, there is a decrease of 0.012% in Immigrants from Hong Kong. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Peru corresponds to a decrease of 12.2 Immigrants from Hong Kong.

When considering income, the most significant differences between Immigrants from Peru and Immigrants from Hong Kong communities in the United States are seen in householder income ages 25 - 44 years ($97,329 compared to $128,140, a difference of 31.7%), per capita income ($43,852 compared to $56,709, a difference of 29.3%), and median male earnings ($54,695 compared to $70,146, a difference of 28.2%). Conversely, both communities are more comparable in terms of wage/income gap (25.1% compared to 25.5%, a difference of 1.7%), householder income under 25 years ($56,384 compared to $62,083, a difference of 10.1%), and householder income over 65 years ($61,988 compared to $71,567, a difference of 15.4%).

When considering poverty, the most significant differences between Immigrants from Peru and Immigrants from Hong Kong communities in the United States are seen in receiving food stamps (12.0% compared to 9.1%, a difference of 32.5%), child poverty under the age of 5 (16.1% compared to 12.4%, a difference of 29.6%), and child poverty among boys under 16 (15.7% compared to 12.3%, a difference of 28.1%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (16.9% compared to 17.5%, a difference of 3.5%), seniors poverty over the age of 75 (13.7% compared to 12.8%, a difference of 6.3%), and single father poverty (15.3% compared to 14.2%, a difference of 7.7%).

When considering unemployment, the most significant differences between Immigrants from Peru and Immigrants from Hong Kong communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 5.8%, a difference of 29.7%), unemployment among women with children ages 6 to 17 years (9.2% compared to 7.2%, a difference of 27.7%), and unemployment among women with children under 18 years (5.7% compared to 4.7%, a difference of 21.3%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.4% compared to 10.5%, a difference of 0.21%), male unemployment (5.3% compared to 5.2%, a difference of 1.3%), and unemployment among youth under 25 years (11.8% compared to 11.6%, a difference of 1.4%).

When considering labor participation, the most significant differences between Immigrants from Peru and Immigrants from Hong Kong communities in the United States are seen in in labor force | age 16-19 (34.2% compared to 30.5%, a difference of 12.1%), in labor force | age 20-24 (74.5% compared to 71.6%, a difference of 4.0%), and in labor force | age 30-34 (84.7% compared to 85.8%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.3% compared to 80.4%, a difference of 0.11%), in labor force | age 45-54 (83.5% compared to 83.6%, a difference of 0.11%), and in labor force | age 35-44 (84.9% compared to 85.2%, a difference of 0.37%).

When considering family structure, the most significant differences between Immigrants from Peru and Immigrants from Hong Kong communities in the United States are seen in single mother households (6.7% compared to 4.8%, a difference of 37.6%), births to unmarried women (31.8% compared to 23.6%, a difference of 35.0%), and single father households (2.4% compared to 1.8%, a difference of 31.0%). Conversely, both communities are more comparable in terms of average family size (3.31 compared to 3.26, a difference of 1.6%), family households (67.2% compared to 66.1%, a difference of 1.7%), and married-couple households (47.3% compared to 49.6%, a difference of 4.9%).

When considering vehicle availability, the most significant differences between Immigrants from Peru and Immigrants from Hong Kong communities in the United States are seen in 2 or more vehicles in household (54.4% compared to 52.6%, a difference of 3.4%), no vehicles in household (11.5% compared to 11.3%, a difference of 1.6%), and 4 or more vehicles in household (6.4% compared to 6.5%, a difference of 1.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.6% compared to 88.7%, a difference of 0.12%), 3 or more vehicles in household (19.4% compared to 19.2%, a difference of 1.1%), and 4 or more vehicles in household (6.4% compared to 6.5%, a difference of 1.4%).

When considering education level, the most significant differences between Immigrants from Peru and Immigrants from Hong Kong communities in the United States are seen in doctorate degree (1.7% compared to 2.8%, a difference of 59.9%), professional degree (4.4% compared to 6.4%, a difference of 45.6%), and master's degree (14.9% compared to 20.5%, a difference of 37.1%). Conversely, both communities are more comparable in terms of 5th grade (96.6% compared to 96.7%, a difference of 0.030%), 4th grade (96.9% compared to 96.9%, a difference of 0.060%), and 6th grade (96.2% compared to 96.3%, a difference of 0.090%).

When considering disability, the most significant differences between Immigrants from Peru and Immigrants from Hong Kong communities in the United States are seen in disability age under 5 (1.2% compared to 0.95%, a difference of 31.7%), disability age 5 to 17 (5.3% compared to 4.3%, a difference of 22.7%), and disability age 35 to 64 (9.8% compared to 8.2%, a difference of 19.5%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 46.5%, a difference of 0.92%), self-care disability (2.4% compared to 2.4%, a difference of 1.2%), and hearing disability (2.7% compared to 2.7%, a difference of 1.4%).