German vs Immigrants from South Central Asia Community Comparison

The statistical analysis conducted on geographies consisting of 473,007,094 people shows a significant negative correlation between the proportion of Immigrants from South Central Asia within German communities in the United States with a correlation coefficient (R) of -0.689. On average, for every 1% (one percent) increase in Germans within a typical geography, there is a decrease of 0.022% in Immigrants from South Central Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Germans corresponds to a decrease of 21.9 Immigrants from South Central Asia.

When considering income, the most significant differences between German and Immigrants from South Central Asia communities in the United States are seen in median household income ($83,358 compared to $106,057, a difference of 27.2%), median male earnings ($54,974 compared to $68,960, a difference of 25.4%), and householder income ages 25 - 44 years ($93,531 compared to $116,626, a difference of 24.7%). Conversely, both communities are more comparable in terms of wage/income gap (29.2% compared to 29.3%, a difference of 0.55%), householder income under 25 years ($50,804 compared to $57,818, a difference of 13.8%), and householder income over 65 years ($59,730 compared to $70,103, a difference of 17.4%).

When considering poverty, the most significant differences between German and Immigrants from South Central Asia communities in the United States are seen in single male poverty (13.9% compared to 10.9%, a difference of 27.6%), female poverty among 25-34 year olds (13.6% compared to 10.8%, a difference of 26.7%), and child poverty under the age of 5 (16.5% compared to 13.3%, a difference of 24.2%). Conversely, both communities are more comparable in terms of family poverty (7.7% compared to 7.2%, a difference of 6.3%), married-couple family poverty (4.0% compared to 4.3%, a difference of 6.8%), and seniors poverty over the age of 65 (9.0% compared to 9.7%, a difference of 7.9%).

When considering unemployment, the most significant differences between German and Immigrants from South Central Asia communities in the United States are seen in unemployment among seniors over 75 years (10.3% compared to 8.2%, a difference of 25.0%), unemployment among women with children under 6 years (8.0% compared to 6.6%, a difference of 20.6%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 7.9%, a difference of 16.0%). Conversely, both communities are more comparable in terms of male unemployment (4.7% compared to 4.8%, a difference of 1.7%), unemployment among women with children under 18 years (4.9% compared to 5.0%, a difference of 2.2%), and unemployment among ages 65 to 74 years (5.1% compared to 5.3%, a difference of 2.4%).

When considering labor participation, the most significant differences between German and Immigrants from South Central Asia communities in the United States are seen in in labor force | age 16-19 (44.2% compared to 34.6%, a difference of 27.8%), in labor force | age 20-24 (78.6% compared to 74.0%, a difference of 6.2%), and in labor force | age > 16 (64.4% compared to 67.1%, a difference of 4.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.3% compared to 85.2%, a difference of 0.020%), in labor force | age 30-34 (84.8% compared to 85.1%, a difference of 0.31%), and in labor force | age 35-44 (84.7% compared to 85.0%, a difference of 0.32%).

When considering family structure, the most significant differences between German and Immigrants from South Central Asia communities in the United States are seen in births to unmarried women (32.0% compared to 24.7%, a difference of 29.6%), single father households (2.4% compared to 2.0%, a difference of 21.0%), and divorced or separated (12.5% compared to 10.4%, a difference of 19.6%). Conversely, both communities are more comparable in terms of currently married (49.6% compared to 50.0%, a difference of 0.87%), married-couple households (49.2% compared to 50.6%, a difference of 3.0%), and family households (64.4% compared to 66.4%, a difference of 3.1%).

When considering vehicle availability, the most significant differences between German and Immigrants from South Central Asia communities in the United States are seen in no vehicles in household (6.7% compared to 8.6%, a difference of 28.3%), 4 or more vehicles in household (7.5% compared to 6.1%, a difference of 21.8%), and 3 or more vehicles in household (22.7% compared to 19.3%, a difference of 17.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.6% compared to 91.5%, a difference of 2.4%), 2 or more vehicles in household (61.6% compared to 56.6%, a difference of 8.8%), and 3 or more vehicles in household (22.7% compared to 19.3%, a difference of 17.6%).

When considering education level, the most significant differences between German and Immigrants from South Central Asia communities in the United States are seen in master's degree (14.0% compared to 20.7%, a difference of 47.8%), doctorate degree (1.8% compared to 2.6%, a difference of 47.4%), and no schooling completed (1.4% compared to 2.0%, a difference of 47.1%). Conversely, both communities are more comparable in terms of ged/equivalency (87.9% compared to 88.4%, a difference of 0.53%), 12th grade, no diploma (93.3% compared to 92.6%, a difference of 0.69%), and nursery school (98.7% compared to 98.0%, a difference of 0.71%).

When considering disability, the most significant differences between German and Immigrants from South Central Asia communities in the United States are seen in disability age under 5 (1.7% compared to 1.0%, a difference of 67.4%), hearing disability (3.7% compared to 2.6%, a difference of 44.6%), and disability age 35 to 64 (12.3% compared to 8.9%, a difference of 38.6%). Conversely, both communities are more comparable in terms of disability age over 75 (46.3% compared to 46.0%, a difference of 0.65%), cognitive disability (16.7% compared to 16.4%, a difference of 1.8%), and self-care disability (2.4% compared to 2.2%, a difference of 10.6%).