Immigrants from South Central Asia vs German Community Comparison

The statistical analysis conducted on geographies consisting of 473,007,120 people shows a significant negative correlation between the proportion of Germans within Immigrant from South Central Asia communities in the United States with a correlation coefficient (R) of -0.641. On average, for every 1% (one percent) increase in Immigrants from South Central Asia within a typical geography, there is a decrease of 0.190% in Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South Central Asia corresponds to a decrease of 190.4 Germans.

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

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

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

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

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

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

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

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