Immigrants from Eastern Asia vs Norwegian Community Comparison

The statistical analysis conducted on geographies consisting of 479,267,042 people shows a significant negative correlation between the proportion of Norwegians within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of -0.619. On average, for every 1% (one percent) increase in Immigrants from Eastern Asia within a typical geography, there is a decrease of 0.025% in Norwegians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Asia corresponds to a decrease of 24.7 Norwegians.

When considering income, the most significant differences between Immigrants from Eastern Asia and Norwegian communities in the United States are seen in householder income ages 25 - 44 years ($118,056 compared to $96,866, a difference of 21.9%), median household income ($104,796 compared to $86,084, a difference of 21.7%), and per capita income ($53,806 compared to $44,480, a difference of 21.0%). Conversely, both communities are more comparable in terms of wage/income gap (27.1% compared to 29.0%, a difference of 7.0%), householder income under 25 years ($57,123 compared to $53,127, a difference of 7.5%), and householder income over 65 years ($69,872 compared to $61,104, a difference of 14.3%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Norwegian communities in the United States are seen in married-couple family poverty (4.8% compared to 3.7%, a difference of 29.2%), seniors poverty over the age of 65 (11.1% compared to 8.7%, a difference of 27.3%), and seniors poverty over the age of 75 (12.8% compared to 10.2%, a difference of 25.3%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (13.4% compared to 13.3%, a difference of 0.090%), child poverty among boys under 16 (13.3% compared to 13.2%, a difference of 1.2%), and child poverty under the age of 16 (13.1% compared to 13.0%, a difference of 1.3%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Norwegian communities in the United States are seen in unemployment among seniors over 75 years (7.9% compared to 9.8%, a difference of 24.2%), female unemployment (5.1% compared to 4.2%, a difference of 23.2%), and unemployment (5.1% compared to 4.2%, a difference of 21.4%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 5.0%, a difference of 3.0%), unemployment among ages 25 to 29 years (6.2% compared to 6.0%, a difference of 3.9%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 8.3%, a difference of 7.6%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Norwegian communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 46.2%, a difference of 44.2%), in labor force | age 20-24 (71.8% compared to 80.1%, a difference of 11.7%), and in labor force | age 25-29 (84.8% compared to 86.1%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.7% compared to 65.7%, a difference of 0.030%), in labor force | age 30-34 (85.4% compared to 85.7%, a difference of 0.45%), and in labor force | age 35-44 (84.7% compared to 85.6%, a difference of 1.1%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Norwegian communities in the United States are seen in single father households (1.9% compared to 2.4%, a difference of 27.4%), divorced or separated (10.2% compared to 12.1%, a difference of 18.5%), and births to unmarried women (25.0% compared to 29.3%, a difference of 17.2%). Conversely, both communities are more comparable in terms of family households with children (27.7% compared to 27.4%, a difference of 1.2%), married-couple households (48.8% compared to 49.5%, a difference of 1.6%), and family households (64.9% compared to 63.9%, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Norwegian communities in the United States are seen in no vehicles in household (13.5% compared to 6.4%, a difference of 110.5%), 4 or more vehicles in household (6.2% compared to 8.0%, a difference of 28.7%), and 3 or more vehicles in household (18.8% compared to 23.9%, a difference of 26.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.5% compared to 93.7%, a difference of 8.3%), 2 or more vehicles in household (53.2% compared to 62.8%, a difference of 18.1%), and 3 or more vehicles in household (18.8% compared to 23.9%, a difference of 26.8%).

When considering education level, the most significant differences between Immigrants from Eastern Asia and Norwegian communities in the United States are seen in no schooling completed (2.4% compared to 1.3%, a difference of 75.3%), doctorate degree (3.0% compared to 1.8%, a difference of 61.2%), and professional degree (6.6% compared to 4.2%, a difference of 56.7%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.7%, a difference of 1.1%), kindergarten (97.6% compared to 98.7%, a difference of 1.1%), and 1st grade (97.6% compared to 98.7%, a difference of 1.1%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Norwegian communities in the United States are seen in disability age under 5 (1.0% compared to 1.7%, a difference of 64.2%), hearing disability (2.7% compared to 3.7%, a difference of 38.1%), and disability age 18 to 34 (5.6% compared to 7.6%, a difference of 36.7%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.91%), disability age over 75 (46.2% compared to 45.5%, a difference of 1.4%), and cognitive disability (16.8% compared to 16.5%, a difference of 1.8%).