Immigrants from Western Europe vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 455,272,912 people shows a substantial negative correlation between the proportion of Indians (Asian) within Immigrant from Western Europe communities in the United States with a correlation coefficient (R) of -0.517. On average, for every 1% (one percent) increase in Immigrants from Western Europe within a typical geography, there is a decrease of 0.299% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Europe corresponds to a decrease of 298.8 Indians (Asian).

When considering income, the most significant differences between Immigrants from Western Europe and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($102,654 compared to $119,496, a difference of 16.4%), median household income ($91,936 compared to $105,262, a difference of 14.5%), and householder income ages 45 - 64 years ($108,824 compared to $122,343, a difference of 12.4%). Conversely, both communities are more comparable in terms of wage/income gap (27.8% compared to 26.4%, a difference of 4.9%), per capita income ($50,065 compared to $53,874, a difference of 7.6%), and householder income over 65 years ($64,933 compared to $70,238, a difference of 8.2%).

When considering poverty, the most significant differences between Immigrants from Western Europe and Indian (Asian) communities in the United States are seen in child poverty under the age of 5 (16.5% compared to 13.4%, a difference of 22.8%), female poverty among 25-34 year olds (13.3% compared to 11.2%, a difference of 18.9%), and single male poverty (13.2% compared to 11.3%, a difference of 17.0%). Conversely, both communities are more comparable in terms of male poverty (10.7% compared to 10.4%, a difference of 3.3%), married-couple family poverty (4.6% compared to 4.8%, a difference of 3.9%), and poverty (11.8% compared to 11.3%, a difference of 4.2%).

When considering unemployment, the most significant differences between Immigrants from Western Europe and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 6.3%, a difference of 21.8%), unemployment among women with children ages 6 to 17 years (9.1% compared to 7.7%, a difference of 18.4%), and unemployment among seniors over 75 years (8.9% compared to 8.0%, a difference of 12.0%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.5% compared to 11.5%, a difference of 0.020%), unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 0.43%), and unemployment among seniors over 65 years (5.1% compared to 5.2%, a difference of 0.45%).

When considering labor participation, the most significant differences between Immigrants from Western Europe and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 31.9%, a difference of 17.8%), in labor force | age 20-24 (75.3% compared to 71.9%, a difference of 4.8%), and in labor force | age > 16 (64.2% compared to 65.5%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.7%, a difference of 0.080%), in labor force | age 35-44 (84.2% compared to 84.8%, a difference of 0.70%), and in labor force | age 30-34 (84.7% compared to 85.4%, a difference of 0.76%).

When considering family structure, the most significant differences between Immigrants from Western Europe and Indian (Asian) communities in the United States are seen in births to unmarried women (31.1% compared to 25.3%, a difference of 22.9%), divorced or separated (12.1% compared to 10.2%, a difference of 18.4%), and single mother households (5.8% compared to 5.1%, a difference of 13.1%). Conversely, both communities are more comparable in terms of currently married (47.6% compared to 48.0%, a difference of 0.72%), family households (63.2% compared to 65.1%, a difference of 3.0%), and average family size (3.14 compared to 3.24, a difference of 3.4%).

When considering vehicle availability, the most significant differences between Immigrants from Western Europe and Indian (Asian) communities in the United States are seen in no vehicles in household (10.9% compared to 14.1%, a difference of 28.9%), 2 or more vehicles in household (55.4% compared to 53.1%, a difference of 4.3%), and 1 or more vehicles in household (89.2% compared to 86.0%, a difference of 3.7%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.3% compared to 6.4%, a difference of 1.8%), 3 or more vehicles in household (19.5% compared to 19.1%, a difference of 2.3%), and 1 or more vehicles in household (89.2% compared to 86.0%, a difference of 3.7%).

When considering education level, the most significant differences between Immigrants from Western Europe and Indian (Asian) communities in the United States are seen in no schooling completed (1.8% compared to 2.5%, a difference of 40.8%), doctorate degree (2.4% compared to 2.9%, a difference of 19.5%), and master's degree (17.8% compared to 20.5%, a difference of 14.7%). Conversely, both communities are more comparable in terms of ged/equivalency (87.3% compared to 87.1%, a difference of 0.21%), nursery school (98.3% compared to 97.6%, a difference of 0.69%), and kindergarten (98.3% compared to 97.6%, a difference of 0.69%).

When considering disability, the most significant differences between Immigrants from Western Europe and Indian (Asian) communities in the United States are seen in disability age under 5 (1.4% compared to 1.0%, a difference of 38.5%), disability age 35 to 64 (11.1% compared to 8.9%, a difference of 25.7%), and disability age 18 to 34 (6.9% compared to 5.5%, a difference of 23.7%). Conversely, both communities are more comparable in terms of cognitive disability (16.9% compared to 16.8%, a difference of 0.46%), disability age over 75 (46.2% compared to 46.5%, a difference of 0.77%), and self-care disability (2.4% compared to 2.3%, a difference of 4.5%).