German vs White/Caucasian Community Comparison

The statistical analysis conducted on geographies consisting of 581,361,569 people shows a strong positive correlation between the proportion of Whites/Caucasians within German communities in the United States with a correlation coefficient (R) of 0.795. On average, for every 1% (one percent) increase in Germans within a typical geography, there is an increase of 0.444% in Whites/Caucasians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Germans corresponds to an increase of 444.3 Whites/Caucasians.

When considering income, the most significant differences between German and White/Caucasian communities in the United States are seen in median family income ($102,254 compared to $99,800, a difference of 2.5%), wage/income gap (29.2% compared to 28.5%, a difference of 2.3%), and householder income ages 45 - 64 years ($100,224 compared to $98,091, a difference of 2.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,804 compared to $50,336, a difference of 0.93%), median female earnings ($37,986 compared to $37,531, a difference of 1.2%), and householder income over 65 years ($59,730 compared to $58,847, a difference of 1.5%).

When considering poverty, the most significant differences between German and White/Caucasian communities in the United States are seen in married-couple family poverty (4.0% compared to 4.8%, a difference of 19.5%), family poverty (7.7% compared to 8.8%, a difference of 14.5%), and receiving food stamps (9.7% compared to 11.1%, a difference of 13.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.4% compared to 20.8%, a difference of 1.7%), single father poverty (17.7% compared to 18.4%, a difference of 3.6%), and single male poverty (13.9% compared to 14.5%, a difference of 3.9%).

When considering unemployment, the most significant differences between German and White/Caucasian communities in the United States are seen in female unemployment (4.5% compared to 4.9%, a difference of 9.1%), unemployment among women with children under 18 years (4.9% compared to 5.3%, a difference of 8.8%), and unemployment (4.5% compared to 4.9%, a difference of 8.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (10.3% compared to 10.1%, a difference of 1.9%), unemployment among ages 65 to 74 years (5.1% compared to 5.4%, a difference of 4.3%), and unemployment among seniors over 65 years (4.9% compared to 5.1%, a difference of 4.4%).

When considering labor participation, the most significant differences between German and White/Caucasian communities in the United States are seen in in labor force | age 16-19 (44.2% compared to 41.3%, a difference of 6.9%), in labor force | age 20-24 (78.6% compared to 76.9%, a difference of 2.2%), and in labor force | age 45-54 (83.1% compared to 81.9%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.8% compared to 83.9%, a difference of 1.1%), in labor force | age 35-44 (84.7% compared to 83.6%, a difference of 1.3%), and in labor force | age > 16 (64.4% compared to 63.6%, a difference of 1.3%).

When considering family structure, the most significant differences between German and White/Caucasian communities in the United States are seen in single mother households (5.8% compared to 6.1%, a difference of 6.1%), births to unmarried women (32.0% compared to 33.3%, a difference of 4.0%), and currently married (49.6% compared to 48.6%, a difference of 2.0%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.52%), family households (64.4% compared to 65.1%, a difference of 0.99%), and married-couple households (49.2% compared to 48.6%, a difference of 1.2%).

When considering vehicle availability, the most significant differences between German and White/Caucasian communities in the United States are seen in no vehicles in household (6.7% compared to 7.0%, a difference of 5.4%), 2 or more vehicles in household (61.6% compared to 60.8%, a difference of 1.2%), and 4 or more vehicles in household (7.5% compared to 7.4%, a difference of 1.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.6% compared to 93.1%, a difference of 0.59%), 3 or more vehicles in household (22.7% compared to 22.6%, a difference of 0.73%), and 4 or more vehicles in household (7.5% compared to 7.4%, a difference of 1.2%).

When considering education level, the most significant differences between German and White/Caucasian communities in the United States are seen in no schooling completed (1.4% compared to 1.6%, a difference of 20.3%), associate's degree (45.5% compared to 44.2%, a difference of 2.9%), and bachelor's degree (36.1% compared to 35.3%, a difference of 2.5%). Conversely, both communities are more comparable in terms of professional degree (4.1% compared to 4.1%, a difference of 0.18%), nursery school (98.7% compared to 98.5%, a difference of 0.28%), and kindergarten (98.7% compared to 98.4%, a difference of 0.28%).

When considering disability, the most significant differences between German and White/Caucasian communities in the United States are seen in vision disability (2.2% compared to 2.4%, a difference of 6.7%), self-care disability (2.4% compared to 2.6%, a difference of 5.4%), and disability age 65 to 74 (23.3% compared to 24.2%, a difference of 3.9%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (6.1% compared to 6.2%, a difference of 0.84%), male disability (12.7% compared to 12.8%, a difference of 1.0%), and disability age 18 to 34 (7.7% compared to 7.6%, a difference of 1.2%).