Immigrants from England vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 359,074,725 people shows a poor positive correlation between the proportion of Immigrants from China within Immigrant from England communities in the United States with a correlation coefficient (R) of 0.172. On average, for every 1% (one percent) increase in Immigrants from England within a typical geography, there is an increase of 0.125% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from England corresponds to an increase of 124.8 Immigrants from China.

When considering income, the most significant differences between Immigrants from England and Immigrants from China communities in the United States are seen in householder income ages 25 - 44 years ($102,020 compared to $119,756, a difference of 17.4%), median household income ($92,098 compared to $105,335, a difference of 14.4%), and median earnings ($49,722 compared to $56,638, a difference of 13.9%). Conversely, both communities are more comparable in terms of wage/income gap (27.9% compared to 26.7%, a difference of 4.5%), householder income over 65 years ($65,715 compared to $69,174, a difference of 5.3%), and per capita income ($48,844 compared to $54,264, a difference of 11.1%).

When considering poverty, the most significant differences between Immigrants from England and Immigrants from China communities in the United States are seen in child poverty under the age of 5 (16.2% compared to 13.6%, a difference of 18.9%), seniors poverty over the age of 75 (11.2% compared to 13.2%, a difference of 18.5%), and seniors poverty over the age of 65 (9.8% compared to 11.5%, a difference of 17.3%). Conversely, both communities are more comparable in terms of female poverty (12.3% compared to 12.5%, a difference of 1.5%), family poverty (8.0% compared to 7.8%, a difference of 1.7%), and poverty (11.4% compared to 11.6%, a difference of 2.5%).

When considering unemployment, the most significant differences between Immigrants from England and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 6.2%, a difference of 23.2%), unemployment among seniors over 75 years (9.3% compared to 7.8%, a difference of 19.4%), and unemployment among women with children ages 6 to 17 years (8.9% compared to 7.7%, a difference of 16.2%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.3% compared to 17.5%, a difference of 0.89%), unemployment among ages 20 to 24 years (10.3% compared to 10.4%, a difference of 1.2%), and unemployment among youth under 25 years (11.5% compared to 11.6%, a difference of 1.3%).

When considering labor participation, the most significant differences between Immigrants from England and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (38.1% compared to 31.1%, a difference of 22.3%), in labor force | age 20-24 (75.5% compared to 71.1%, a difference of 6.3%), and in labor force | age > 16 (64.2% compared to 65.4%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.6%, a difference of 0.15%), in labor force | age 35-44 (84.2% compared to 84.7%, a difference of 0.58%), and in labor force | age 20-64 (79.2% compared to 79.7%, a difference of 0.62%).

When considering family structure, the most significant differences between Immigrants from England and Immigrants from China communities in the United States are seen in births to unmarried women (31.1% compared to 24.7%, a difference of 25.9%), divorced or separated (12.1% compared to 10.0%, a difference of 20.9%), and single father households (2.2% compared to 1.8%, a difference of 18.7%). Conversely, both communities are more comparable in terms of married-couple households (48.2% compared to 48.4%, a difference of 0.35%), family households (64.4% compared to 64.7%, a difference of 0.45%), and currently married (48.3% compared to 47.9%, a difference of 0.98%).

When considering vehicle availability, the most significant differences between Immigrants from England and Immigrants from China communities in the United States are seen in no vehicles in household (8.7% compared to 15.2%, a difference of 74.5%), 3 or more vehicles in household (20.7% compared to 18.2%, a difference of 13.6%), and 2 or more vehicles in household (58.1% compared to 51.5%, a difference of 12.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 84.9%, a difference of 7.7%), 4 or more vehicles in household (6.7% compared to 6.0%, a difference of 11.3%), and 2 or more vehicles in household (58.1% compared to 51.5%, a difference of 12.9%).

When considering education level, the most significant differences between Immigrants from England and Immigrants from China communities in the United States are seen in no schooling completed (1.7% compared to 2.6%, a difference of 49.3%), doctorate degree (2.2% compared to 3.1%, a difference of 40.0%), and professional degree (5.3% compared to 6.7%, a difference of 26.7%). Conversely, both communities are more comparable in terms of ged/equivalency (87.6% compared to 86.9%, a difference of 0.78%), nursery school (98.3% compared to 97.5%, a difference of 0.89%), and kindergarten (98.3% compared to 97.4%, a difference of 0.90%).

When considering disability, the most significant differences between Immigrants from England and Immigrants from China communities in the United States are seen in disability age under 5 (1.4% compared to 0.96%, a difference of 42.1%), hearing disability (3.3% compared to 2.6%, a difference of 27.5%), and disability age 18 to 34 (6.9% compared to 5.4%, a difference of 27.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.0% compared to 46.3%, a difference of 0.78%), cognitive disability (16.6% compared to 16.9%, a difference of 2.0%), and self-care disability (2.4% compared to 2.3%, a difference of 4.6%).