Indian (Asian) vs Immigrants from Northern Europe Community Comparison

The statistical analysis conducted on geographies consisting of 445,461,611 people shows a moderate negative correlation between the proportion of Immigrants from Northern Europe within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.422. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.009% in Immigrants from Northern Europe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 8.9 Immigrants from Northern Europe.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Northern Europe communities in the United States are seen in wage/income gap (26.4% compared to 28.5%, a difference of 7.6%), householder income ages 25 - 44 years ($119,496 compared to $111,676, a difference of 7.0%), and householder income under 25 years ($58,239 compared to $54,571, a difference of 6.7%). Conversely, both communities are more comparable in terms of per capita income ($53,874 compared to $54,159, a difference of 0.53%), median male earnings ($66,078 compared to $64,987, a difference of 1.7%), and householder income over 65 years ($70,238 compared to $69,003, a difference of 1.8%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Northern Europe communities in the United States are seen in married-couple family poverty (4.8% compared to 4.2%, a difference of 13.8%), seniors poverty over the age of 65 (11.1% compared to 9.8%, a difference of 13.6%), and seniors poverty over the age of 75 (12.7% compared to 11.3%, a difference of 12.8%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.4%, a difference of 1.3%), child poverty under the age of 16 (13.1% compared to 13.6%, a difference of 3.2%), and child poverty among girls under 16 (13.3% compared to 13.8%, a difference of 3.9%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Northern Europe communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.7% compared to 8.9%, a difference of 14.6%), unemployment among women with children under 6 years (6.3% compared to 7.2%, a difference of 14.1%), and unemployment among seniors over 75 years (8.0% compared to 8.9%, a difference of 11.5%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 0.30%), unemployment among youth under 25 years (11.5% compared to 11.5%, a difference of 0.33%), and unemployment among ages 16 to 19 years (17.3% compared to 17.4%, a difference of 0.33%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Northern Europe communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 36.5%, a difference of 14.6%), in labor force | age 20-24 (71.9% compared to 74.8%, a difference of 4.1%), 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 30-34 (85.4% compared to 85.3%, a difference of 0.10%), in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.13%), and in labor force | age 20-64 (79.9% compared to 79.7%, a difference of 0.20%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Northern Europe communities in the United States are seen in divorced or separated (10.2% compared to 11.6%, a difference of 13.9%), births to unmarried women (25.3% compared to 28.6%, a difference of 13.4%), and single father households (1.9% compared to 2.0%, a difference of 6.2%). Conversely, both communities are more comparable in terms of married-couple households (48.7% compared to 48.6%, a difference of 0.25%), currently married (48.0% compared to 48.8%, a difference of 1.8%), and family households (65.1% compared to 63.8%, a difference of 2.1%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Northern Europe communities in the United States are seen in no vehicles in household (14.1% compared to 10.7%, a difference of 32.0%), 2 or more vehicles in household (53.1% compared to 56.1%, a difference of 5.6%), and 1 or more vehicles in household (86.0% compared to 89.5%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.1% compared to 19.5%, a difference of 2.0%), 4 or more vehicles in household (6.4% compared to 6.2%, a difference of 3.1%), and 1 or more vehicles in household (86.0% compared to 89.5%, a difference of 4.0%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Northern Europe communities in the United States are seen in no schooling completed (2.5% compared to 1.7%, a difference of 48.4%), doctorate degree (2.9% compared to 2.6%, a difference of 13.1%), and master's degree (20.5% compared to 19.5%, a difference of 5.0%). Conversely, both communities are more comparable in terms of college, under 1 year (70.8% compared to 71.1%, a difference of 0.47%), college, 1 year or more (66.1% compared to 65.6%, a difference of 0.66%), and nursery school (97.6% compared to 98.4%, a difference of 0.78%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Northern Europe communities in the United States are seen in disability age under 5 (1.0% compared to 1.3%, a difference of 32.2%), disability age 18 to 34 (5.5% compared to 6.5%, a difference of 17.7%), and hearing disability (2.7% compared to 3.2%, a difference of 17.4%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.62%), disability age 65 to 74 (20.5% compared to 21.0%, a difference of 2.4%), and disability age over 75 (46.5% compared to 45.2%, a difference of 2.9%).