Immigrants from Germany vs Nonimmigrants Community Comparison

The statistical analysis conducted on geographies consisting of 463,899,294 people shows a near-perfect negative correlation between the proportion of Nonimmigrants within Immigrant from Germany communities in the United States with a correlation coefficient (R) of -0.917. On average, for every 1% (one percent) increase in Immigrants from Germany within a typical geography, there is a decrease of 0.864% in Nonimmigrants. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Germany corresponds to a decrease of 864.0 Nonimmigrants.

When considering income, the most significant differences between Immigrants from Germany and Nonimmigrants communities in the United States are seen in per capita income ($45,751 compared to $40,669, a difference of 12.5%), median family income ($105,507 compared to $96,231, a difference of 9.6%), and householder income ages 45 - 64 years ($103,282 compared to $94,448, a difference of 9.3%). Conversely, both communities are more comparable in terms of wage/income gap (27.5% compared to 27.2%, a difference of 1.3%), householder income under 25 years ($51,190 compared to $49,348, a difference of 3.7%), and median female earnings ($39,603 compared to $37,024, a difference of 7.0%).

When considering poverty, the most significant differences between Immigrants from Germany and Nonimmigrants communities in the United States are seen in receiving food stamps (10.7% compared to 12.4%, a difference of 15.2%), family poverty (8.5% compared to 9.8%, a difference of 14.7%), and child poverty among girls under 16 (16.1% compared to 18.3%, a difference of 13.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.3% compared to 21.5%, a difference of 6.2%), seniors poverty over the age of 75 (11.5% compared to 12.2%, a difference of 6.2%), and seniors poverty over the age of 65 (10.1% compared to 10.9%, a difference of 7.6%).

When considering unemployment, the most significant differences between Immigrants from Germany and Nonimmigrants communities in the United States are seen in unemployment among women with children under 6 years (7.9% compared to 8.8%, a difference of 11.4%), unemployment among ages 30 to 34 years (5.6% compared to 6.1%, a difference of 8.6%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 10.0%, a difference of 8.5%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.4% compared to 4.5%, a difference of 1.5%), unemployment among ages 20 to 24 years (10.4% compared to 10.5%, a difference of 1.7%), and unemployment among seniors over 65 years (5.0% compared to 5.1%, a difference of 2.0%).

When considering labor participation, the most significant differences between Immigrants from Germany and Nonimmigrants communities in the United States are seen in in labor force | age 16-19 (39.1% compared to 40.1%, a difference of 2.5%), in labor force | age 45-54 (82.1% compared to 81.2%, a difference of 1.1%), and in labor force | age 20-64 (78.8% compared to 78.1%, a difference of 0.97%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.2% compared to 76.2%, a difference of 0.010%), in labor force | age > 16 (63.9% compared to 63.5%, a difference of 0.67%), and in labor force | age 35-44 (83.9% compared to 83.2%, a difference of 0.80%).

When considering family structure, the most significant differences between Immigrants from Germany and Nonimmigrants communities in the United States are seen in single mother households (6.1% compared to 6.7%, a difference of 8.7%), births to unmarried women (32.8% compared to 35.5%, a difference of 8.4%), and single father households (2.3% compared to 2.4%, a difference of 7.7%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.8%, a difference of 0.74%), average family size (3.15 compared to 3.19, a difference of 1.0%), and married-couple households (47.5% compared to 46.9%, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Immigrants from Germany and Nonimmigrants communities in the United States are seen in no vehicles in household (8.7% compared to 7.9%, a difference of 10.5%), 4 or more vehicles in household (6.8% compared to 7.2%, a difference of 6.4%), and 3 or more vehicles in household (20.8% compared to 21.8%, a difference of 4.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 92.2%, a difference of 0.92%), 2 or more vehicles in household (57.9% compared to 58.8%, a difference of 1.5%), and 3 or more vehicles in household (20.8% compared to 21.8%, a difference of 4.5%).

When considering education level, the most significant differences between Immigrants from Germany and Nonimmigrants communities in the United States are seen in professional degree (4.9% compared to 3.9%, a difference of 24.4%), doctorate degree (2.1% compared to 1.7%, a difference of 23.7%), and master's degree (15.8% compared to 13.3%, a difference of 18.4%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 98.3%, a difference of 0.010%), kindergarten (98.3% compared to 98.3%, a difference of 0.010%), and 1st grade (98.2% compared to 98.2%, a difference of 0.010%).

When considering disability, the most significant differences between Immigrants from Germany and Nonimmigrants communities in the United States are seen in disability age under 5 (1.4% compared to 1.6%, a difference of 12.8%), disability age 35 to 64 (11.9% compared to 13.0%, a difference of 9.7%), and vision disability (2.3% compared to 2.5%, a difference of 8.5%). Conversely, both communities are more comparable in terms of cognitive disability (17.0% compared to 17.4%, a difference of 2.5%), disability age over 75 (46.7% compared to 48.0%, a difference of 2.8%), and hearing disability (3.5% compared to 3.6%, a difference of 3.1%).