Nonimmigrants vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 457,051,151 people shows a mild negative correlation between the proportion of Immigrants from China within Nonimmigrant communities in the United States with a correlation coefficient (R) of -0.347. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is a decrease of 0.062% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to a decrease of 62.3 Immigrants from China.

When considering income, the most significant differences between Nonimmigrants and Immigrants from China communities in the United States are seen in householder income ages 25 - 44 years ($88,301 compared to $119,756, a difference of 35.6%), per capita income ($40,669 compared to $54,264, a difference of 33.4%), and median household income ($79,429 compared to $105,335, a difference of 32.6%). Conversely, both communities are more comparable in terms of wage/income gap (27.2% compared to 26.7%, a difference of 1.9%), householder income under 25 years ($49,348 compared to $57,931, a difference of 17.4%), and householder income over 65 years ($57,426 compared to $69,174, a difference of 20.5%).

When considering poverty, the most significant differences between Nonimmigrants and Immigrants from China communities in the United States are seen in child poverty under the age of 5 (19.7% compared to 13.6%, a difference of 45.1%), female poverty among 25-34 year olds (15.6% compared to 11.2%, a difference of 39.7%), and child poverty among girls under 16 (18.3% compared to 13.4%, a difference of 36.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.9% compared to 11.5%, a difference of 5.5%), female poverty among 18-24 year olds (21.5% compared to 20.2%, a difference of 6.7%), and married-couple family poverty (5.3% compared to 5.0%, a difference of 7.0%).

When considering unemployment, the most significant differences between Nonimmigrants and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (8.8% compared to 6.2%, a difference of 42.1%), unemployment among women with children ages 6 to 17 years (10.0% compared to 7.7%, a difference of 30.2%), and unemployment among seniors over 75 years (9.8% compared to 7.8%, a difference of 26.5%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.4% compared to 5.4%, a difference of 0.27%), unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.77%), and unemployment among ages 55 to 59 years (4.9% compared to 5.0%, a difference of 1.1%).

When considering labor participation, the most significant differences between Nonimmigrants and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 31.1%, a difference of 28.7%), in labor force | age 20-24 (76.2% compared to 71.1%, a difference of 7.2%), and in labor force | age > 16 (63.5% compared to 65.4%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.7% compared to 84.6%, a difference of 1.1%), in labor force | age 35-44 (83.2% compared to 84.7%, a difference of 1.8%), and in labor force | age 20-64 (78.1% compared to 79.7%, a difference of 2.1%).

When considering family structure, the most significant differences between Nonimmigrants and Immigrants from China communities in the United States are seen in births to unmarried women (35.5% compared to 24.7%, a difference of 44.0%), single father households (2.4% compared to 1.8%, a difference of 32.5%), and single mother households (6.7% compared to 5.1%, a difference of 32.0%). Conversely, both communities are more comparable in terms of family households (64.8% compared to 64.7%, a difference of 0.11%), family households with children (27.5% compared to 27.4%, a difference of 0.26%), and average family size (3.19 compared to 3.23, a difference of 1.3%).

When considering vehicle availability, the most significant differences between Nonimmigrants and Immigrants from China communities in the United States are seen in no vehicles in household (7.9% compared to 15.2%, a difference of 91.8%), 4 or more vehicles in household (7.2% compared to 6.0%, a difference of 19.7%), and 3 or more vehicles in household (21.8% compared to 18.2%, a difference of 19.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.2% compared to 84.9%, a difference of 8.6%), 2 or more vehicles in household (58.8% compared to 51.5%, a difference of 14.1%), and 3 or more vehicles in household (21.8% compared to 18.2%, a difference of 19.5%).

When considering education level, the most significant differences between Nonimmigrants and Immigrants from China communities in the United States are seen in doctorate degree (1.7% compared to 3.1%, a difference of 83.6%), professional degree (3.9% compared to 6.7%, a difference of 72.6%), and master's degree (13.3% compared to 21.2%, a difference of 58.9%). Conversely, both communities are more comparable in terms of high school diploma (89.2% compared to 89.3%, a difference of 0.16%), 12th grade, no diploma (91.0% compared to 91.3%, a difference of 0.28%), and 11th grade (92.7% compared to 92.3%, a difference of 0.44%).

When considering disability, the most significant differences between Nonimmigrants and Immigrants from China communities in the United States are seen in disability age under 5 (1.6% compared to 0.96%, a difference of 66.8%), disability age 35 to 64 (13.0% compared to 8.7%, a difference of 49.9%), and disability age 18 to 34 (7.6% compared to 5.4%, a difference of 40.3%). Conversely, both communities are more comparable in terms of cognitive disability (17.4% compared to 16.9%, a difference of 2.8%), disability age over 75 (48.0% compared to 46.3%, a difference of 3.7%), and self-care disability (2.6% compared to 2.3%, a difference of 13.4%).