Asian vs German Community Comparison

The statistical analysis conducted on geographies consisting of 549,499,999 people shows a very strong negative correlation between the proportion of Germans within Asian communities in the United States with a correlation coefficient (R) of -0.875. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.145% in Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 144.8 Germans.

When considering income, the most significant differences between Asian and German communities in the United States are seen in median household income ($101,681 compared to $83,358, a difference of 22.0%), householder income ages 25 - 44 years ($112,666 compared to $93,531, a difference of 20.5%), and householder income ages 45 - 64 years ($118,426 compared to $100,224, a difference of 18.2%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 29.2%, a difference of 8.3%), householder income under 25 years ($57,003 compared to $50,804, a difference of 12.2%), and householder income over 65 years ($68,822 compared to $59,730, a difference of 15.2%).

When considering poverty, the most significant differences between Asian and German communities in the United States are seen in single male poverty (11.2% compared to 13.9%, a difference of 24.4%), single father poverty (14.6% compared to 17.7%, a difference of 21.6%), and female poverty among 25-34 year olds (11.4% compared to 13.6%, a difference of 19.4%). Conversely, both communities are more comparable in terms of male poverty (10.0% compared to 10.1%, a difference of 0.64%), receiving food stamps (9.7% compared to 9.7%, a difference of 0.64%), and family poverty (7.7% compared to 7.7%, a difference of 0.93%).

When considering unemployment, the most significant differences between Asian and German communities in the United States are seen in unemployment among seniors over 75 years (8.3% compared to 10.3%, a difference of 24.2%), unemployment among women with children under 6 years (6.7% compared to 8.0%, a difference of 19.5%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 9.2%, a difference of 15.9%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.4% compared to 4.3%, a difference of 1.4%), unemployment among ages 25 to 29 years (6.3% compared to 6.5%, a difference of 2.4%), and unemployment among ages 65 to 74 years (5.3% compared to 5.1%, a difference of 2.5%).

When considering labor participation, the most significant differences between Asian and German communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 44.2%, a difference of 29.6%), in labor force | age 20-24 (73.7% compared to 78.6%, a difference of 6.7%), and in labor force | age > 16 (66.2% compared to 64.4%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.010%), in labor force | age 30-34 (85.1% compared to 84.8%, a difference of 0.27%), and in labor force | age 45-54 (83.4% compared to 83.1%, a difference of 0.44%).

When considering family structure, the most significant differences between Asian and German communities in the United States are seen in births to unmarried women (26.8% compared to 32.0%, a difference of 19.4%), divorced or separated (10.6% compared to 12.5%, a difference of 17.3%), and single father households (2.1% compared to 2.4%, a difference of 13.3%). Conversely, both communities are more comparable in terms of married-couple households (49.5% compared to 49.2%, a difference of 0.62%), currently married (48.4% compared to 49.6%, a difference of 2.4%), and single mother households (5.6% compared to 5.8%, a difference of 2.9%).

When considering vehicle availability, the most significant differences between Asian and German communities in the United States are seen in no vehicles in household (9.0% compared to 6.7%, a difference of 34.4%), 3 or more vehicles in household (20.8% compared to 22.7%, a difference of 9.6%), and 2 or more vehicles in household (57.0% compared to 61.6%, a difference of 8.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 93.6%, a difference of 2.8%), 4 or more vehicles in household (7.0% compared to 7.5%, a difference of 6.3%), and 2 or more vehicles in household (57.0% compared to 61.6%, a difference of 8.1%).

When considering education level, the most significant differences between Asian and German communities in the United States are seen in no schooling completed (2.4% compared to 1.4%, a difference of 76.9%), doctorate degree (2.4% compared to 1.8%, a difference of 36.2%), and professional degree (5.5% compared to 4.1%, a difference of 35.0%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.7%, a difference of 1.1%), kindergarten (97.6% compared to 98.7%, a difference of 1.1%), and 1st grade (97.6% compared to 98.7%, a difference of 1.1%).

When considering disability, the most significant differences between Asian and German communities in the United States are seen in disability age under 5 (1.1% compared to 1.7%, a difference of 58.6%), hearing disability (2.7% compared to 3.7%, a difference of 36.4%), and disability age 18 to 34 (5.8% compared to 7.7%, a difference of 32.6%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.7%, a difference of 0.51%), disability age over 75 (46.9% compared to 46.3%, a difference of 1.4%), and self-care disability (2.3% compared to 2.4%, a difference of 4.3%).