Immigrants from Argentina vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 253,954,403 people shows a moderate negative correlation between the proportion of Immigrants from China within Immigrant from Argentina communities in the United States with a correlation coefficient (R) of -0.439. On average, for every 1% (one percent) increase in Immigrants from Argentina within a typical geography, there is a decrease of 0.127% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Argentina corresponds to a decrease of 127.2 Immigrants from China.

When considering income, the most significant differences between Immigrants from Argentina and Immigrants from China communities in the United States are seen in householder income ages 25 - 44 years ($101,415 compared to $119,756, a difference of 18.1%), median household income ($92,417 compared to $105,335, a difference of 14.0%), and median earnings ($49,841 compared to $56,638, a difference of 13.6%). Conversely, both communities are more comparable in terms of wage/income gap (26.8% compared to 26.7%, a difference of 0.61%), householder income under 25 years ($54,209 compared to $57,931, a difference of 6.9%), and householder income over 65 years ($63,885 compared to $69,174, a difference of 8.3%).

When considering poverty, the most significant differences between Immigrants from Argentina and Immigrants from China communities in the United States are seen in receiving food stamps (11.2% compared to 9.6%, a difference of 16.7%), child poverty under the age of 5 (15.4% compared to 13.6%, a difference of 13.0%), and female poverty among 25-34 year olds (12.6% compared to 11.2%, a difference of 12.6%). Conversely, both communities are more comparable in terms of male poverty (10.6% compared to 10.7%, a difference of 0.66%), poverty (11.7% compared to 11.6%, a difference of 0.75%), and female poverty (12.8% compared to 12.5%, a difference of 2.5%).

When considering unemployment, the most significant differences between Immigrants from Argentina and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.2%, a difference of 19.8%), unemployment among women with children ages 6 to 17 years (8.7% compared to 7.7%, a difference of 13.8%), and unemployment among ages 55 to 59 years (4.6% compared to 5.0%, a difference of 9.0%). Conversely, both communities are more comparable in terms of female unemployment (5.2% compared to 5.2%, a difference of 0.24%), unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.59%), and unemployment among ages 60 to 64 years (5.1% compared to 5.1%, a difference of 1.1%).

When considering labor participation, the most significant differences between Immigrants from Argentina and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (32.9% compared to 31.1%, a difference of 5.6%), in labor force | age 20-24 (72.8% compared to 71.1%, a difference of 2.5%), and in labor force | age 30-34 (85.0% compared to 85.4%, a difference of 0.41%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 84.6%, a difference of 0.010%), in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.060%), and in labor force | age 45-54 (83.3% compared to 83.2%, a difference of 0.14%).

When considering family structure, the most significant differences between Immigrants from Argentina and Immigrants from China communities in the United States are seen in births to unmarried women (30.1% compared to 24.7%, a difference of 22.1%), divorced or separated (12.2% compared to 10.0%, a difference of 21.9%), and single father households (2.2% compared to 1.8%, a difference of 17.4%). Conversely, both communities are more comparable in terms of family households with children (27.5% compared to 27.4%, a difference of 0.060%), average family size (3.22 compared to 3.23, a difference of 0.19%), and family households (64.9% compared to 64.7%, a difference of 0.23%).

When considering vehicle availability, the most significant differences between Immigrants from Argentina and Immigrants from China communities in the United States are seen in no vehicles in household (11.2% compared to 15.2%, a difference of 35.8%), 2 or more vehicles in household (53.9% compared to 51.5%, a difference of 4.7%), and 1 or more vehicles in household (88.9% compared to 84.9%, a difference of 4.7%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (18.5% compared to 18.2%, a difference of 1.4%), 4 or more vehicles in household (5.9% compared to 6.0%, a difference of 2.5%), and 1 or more vehicles in household (88.9% compared to 84.9%, a difference of 4.7%).

When considering education level, the most significant differences between Immigrants from Argentina and Immigrants from China communities in the United States are seen in doctorate degree (2.2% compared to 3.1%, a difference of 38.8%), no schooling completed (2.1% compared to 2.6%, a difference of 23.0%), and master's degree (18.0% compared to 21.2%, a difference of 17.9%). Conversely, both communities are more comparable in terms of high school diploma (89.4% compared to 89.3%, a difference of 0.060%), 12th grade, no diploma (91.6% compared to 91.3%, a difference of 0.30%), and ged/equivalency (86.6% compared to 86.9%, a difference of 0.39%).

When considering disability, the most significant differences between Immigrants from Argentina and Immigrants from China communities in the United States are seen in disability age under 5 (1.2% compared to 0.96%, a difference of 27.6%), disability age 5 to 17 (5.0% compared to 4.5%, a difference of 10.7%), and vision disability (2.0% compared to 1.8%, a difference of 9.8%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.37%), disability age over 75 (45.9% compared to 46.3%, a difference of 0.90%), and female disability (11.0% compared to 10.7%, a difference of 3.0%).