Indian (Asian) vs Northern European Community Comparison

The statistical analysis conducted on geographies consisting of 382,404,200 people shows a weak negative correlation between the proportion of Northern Europeans within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.270. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.002% in Northern Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 2.5 Northern Europeans.

When considering income, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $100,457, a difference of 19.0%), median household income ($105,262 compared to $90,446, a difference of 16.4%), and median earnings ($56,253 compared to $48,887, a difference of 15.1%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 28.3%, a difference of 6.9%), householder income over 65 years ($70,238 compared to $64,658, a difference of 8.6%), and householder income under 25 years ($58,239 compared to $51,678, a difference of 12.7%).

When considering poverty, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in seniors poverty over the age of 75 (12.7% compared to 10.7%, a difference of 19.3%), child poverty under the age of 5 (13.4% compared to 16.0%, a difference of 18.8%), and female poverty among 25-34 year olds (11.2% compared to 13.2%, a difference of 18.5%). Conversely, both communities are more comparable in terms of male poverty (10.4% compared to 10.4%, a difference of 0.17%), poverty (11.3% compared to 11.4%, a difference of 0.48%), and family poverty (7.7% compared to 7.8%, a difference of 1.4%).

When considering unemployment, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.5%, a difference of 19.3%), unemployment among seniors over 75 years (8.0% compared to 9.1%, a difference of 14.1%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 8.8%, a difference of 13.3%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.26%), unemployment among ages 20 to 24 years (10.3% compared to 10.1%, a difference of 1.9%), and unemployment among women with children under 18 years (4.9% compared to 5.0%, a difference of 2.6%).

When considering labor participation, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 40.2%, a difference of 26.2%), in labor force | age 20-24 (71.9% compared to 76.8%, a difference of 6.8%), and in labor force | age > 16 (65.5% compared to 64.7%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.9%, a difference of 0.18%), in labor force | age 20-64 (79.9% compared to 79.5%, a difference of 0.52%), and in labor force | age 35-44 (84.8% compared to 84.3%, a difference of 0.55%).

When considering family structure, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in births to unmarried women (25.3% compared to 30.6%, a difference of 21.0%), divorced or separated (10.2% compared to 12.2%, a difference of 20.0%), and single father households (1.9% compared to 2.2%, a difference of 17.7%). Conversely, both communities are more comparable in terms of married-couple households (48.7% compared to 48.4%, a difference of 0.55%), currently married (48.0% compared to 48.7%, a difference of 1.5%), and family households with children (27.6% compared to 27.2%, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in no vehicles in household (14.1% compared to 7.9%, a difference of 77.3%), 3 or more vehicles in household (19.1% compared to 22.0%, a difference of 15.1%), and 4 or more vehicles in household (6.4% compared to 7.3%, a difference of 13.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 92.2%, a difference of 7.1%), 2 or more vehicles in household (53.1% compared to 59.9%, a difference of 12.7%), and 4 or more vehicles in household (6.4% compared to 7.3%, a difference of 13.2%).

When considering education level, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in no schooling completed (2.5% compared to 1.6%, a difference of 56.7%), doctorate degree (2.9% compared to 2.2%, a difference of 30.3%), and professional degree (6.5% compared to 5.2%, a difference of 25.2%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.5%, a difference of 0.88%), kindergarten (97.6% compared to 98.5%, a difference of 0.89%), and ged/equivalency (87.1% compared to 87.9%, a difference of 0.91%).

When considering disability, the most significant differences between Indian (Asian) and Northern European communities in the United States are seen in disability age under 5 (1.0% compared to 1.6%, a difference of 54.8%), disability age 18 to 34 (5.5% compared to 7.3%, a difference of 31.6%), and disability age 35 to 64 (8.9% compared to 11.4%, a difference of 28.9%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.8%, a difference of 0.20%), disability age over 75 (46.5% compared to 46.3%, a difference of 0.56%), and self-care disability (2.3% compared to 2.4%, a difference of 2.2%).