German vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 477,026,364 people shows a strong negative correlation between the proportion of Indians (Asian) within German communities in the United States with a correlation coefficient (R) of -0.706. On average, for every 1% (one percent) increase in Germans within a typical geography, there is a decrease of 0.029% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Germans corresponds to a decrease of 29.4 Indians (Asian).

When considering income, the most significant differences between German and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($93,531 compared to $119,496, a difference of 27.8%), median household income ($83,358 compared to $105,262, a difference of 26.3%), and per capita income ($43,067 compared to $53,874, a difference of 25.1%). Conversely, both communities are more comparable in terms of wage/income gap (29.2% compared to 26.4%, a difference of 10.3%), householder income under 25 years ($50,804 compared to $58,239, a difference of 14.6%), and householder income over 65 years ($59,730 compared to $70,238, a difference of 17.6%).

When considering poverty, the most significant differences between German and Indian (Asian) communities in the United States are seen in seniors poverty over the age of 65 (9.0% compared to 11.1%, a difference of 24.0%), single male poverty (13.9% compared to 11.3%, a difference of 23.8%), and seniors poverty over the age of 75 (10.4% compared to 12.7%, a difference of 23.1%). Conversely, both communities are more comparable in terms of female poverty (12.2% compared to 12.2%, a difference of 0.030%), family poverty (7.7% compared to 7.7%, a difference of 0.70%), and receiving food stamps (9.7% compared to 9.6%, a difference of 1.2%).

When considering unemployment, the most significant differences between German and Indian (Asian) communities in the United States are seen in unemployment among seniors over 75 years (10.3% compared to 8.0%, a difference of 28.7%), unemployment among women with children under 6 years (8.0% compared to 6.3%, a difference of 26.6%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 7.7%, a difference of 19.3%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.92%), unemployment among ages 35 to 44 years (4.3% compared to 4.4%, a difference of 2.2%), and unemployment among ages 25 to 29 years (6.5% compared to 6.3%, a difference of 3.2%).

When considering labor participation, the most significant differences between German and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (44.2% compared to 31.9%, a difference of 38.6%), in labor force | age 20-24 (78.6% compared to 71.9%, a difference of 9.3%), and in labor force | age > 16 (64.4% compared to 65.5%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.8%, a difference of 0.14%), in labor force | age 20-64 (79.7% compared to 79.9%, a difference of 0.27%), and in labor force | age 45-54 (83.1% compared to 83.3%, a difference of 0.29%).

When considering family structure, the most significant differences between German and Indian (Asian) communities in the United States are seen in births to unmarried women (32.0% compared to 25.3%, a difference of 26.6%), single father households (2.4% compared to 1.9%, a difference of 24.8%), and divorced or separated (12.5% compared to 10.2%, a difference of 22.3%). Conversely, both communities are more comparable in terms of married-couple households (49.2% compared to 48.7%, a difference of 0.94%), family households (64.4% compared to 65.1%, a difference of 1.1%), and family households with children (27.1% compared to 27.6%, a difference of 1.8%).

When considering vehicle availability, the most significant differences between German and Indian (Asian) communities in the United States are seen in no vehicles in household (6.7% compared to 14.1%, a difference of 110.7%), 3 or more vehicles in household (22.7% compared to 19.1%, a difference of 19.0%), and 2 or more vehicles in household (61.6% compared to 53.1%, a difference of 16.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.6% compared to 86.0%, a difference of 8.8%), 4 or more vehicles in household (7.5% compared to 6.4%, a difference of 15.8%), and 2 or more vehicles in household (61.6% compared to 53.1%, a difference of 16.0%).

When considering education level, the most significant differences between German and Indian (Asian) communities in the United States are seen in no schooling completed (1.4% compared to 2.5%, a difference of 82.5%), doctorate degree (1.8% compared to 2.9%, a difference of 63.2%), and professional degree (4.1% compared to 6.5%, a difference of 59.8%). Conversely, both communities are more comparable in terms of ged/equivalency (87.9% compared to 87.1%, a difference of 0.87%), nursery school (98.7% compared to 97.6%, a difference of 1.1%), and kindergarten (98.7% compared to 97.6%, a difference of 1.1%).

When considering disability, the most significant differences between German and Indian (Asian) communities in the United States are seen in disability age under 5 (1.7% compared to 1.0%, a difference of 71.7%), disability age 18 to 34 (7.7% compared to 5.5%, a difference of 39.3%), and disability age 35 to 64 (12.3% compared to 8.9%, a difference of 38.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.3% compared to 46.5%, a difference of 0.50%), cognitive disability (16.7% compared to 16.8%, a difference of 1.1%), and self-care disability (2.4% compared to 2.3%, a difference of 3.7%).