Norwegian vs Immigrants from South Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 488,754,932 people shows a moderate negative correlation between the proportion of Immigrants from South Eastern Asia within Norwegian communities in the United States with a correlation coefficient (R) of -0.429. On average, for every 1% (one percent) increase in Norwegians within a typical geography, there is a decrease of 0.013% in Immigrants from South Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Norwegians corresponds to a decrease of 12.8 Immigrants from South Eastern Asia.

When considering income, the most significant differences between Norwegian and Immigrants from South Eastern Asia communities in the United States are seen in wage/income gap (29.0% compared to 24.8%, a difference of 16.7%), median household income ($86,084 compared to $91,541, a difference of 6.3%), and householder income over 65 years ($61,104 compared to $64,089, a difference of 4.9%). Conversely, both communities are more comparable in terms of median family income ($106,144 compared to $106,252, a difference of 0.10%), median male earnings ($55,965 compared to $55,241, a difference of 1.3%), and median earnings ($46,865 compared to $47,671, a difference of 1.7%).

When considering poverty, the most significant differences between Norwegian and Immigrants from South Eastern Asia communities in the United States are seen in married-couple family poverty (3.7% compared to 5.1%, a difference of 36.9%), seniors poverty over the age of 65 (8.7% compared to 10.8%, a difference of 24.5%), and family poverty (6.9% compared to 8.5%, a difference of 23.9%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (12.6% compared to 12.5%, a difference of 0.53%), single mother poverty (28.4% compared to 27.1%, a difference of 4.7%), and child poverty under the age of 5 (14.6% compared to 15.7%, a difference of 7.3%).

When considering unemployment, the most significant differences between Norwegian and Immigrants from South Eastern Asia communities in the United States are seen in female unemployment (4.2% compared to 5.4%, a difference of 28.8%), unemployment (4.2% compared to 5.3%, a difference of 27.2%), and unemployment among women with children under 18 years (4.4% compared to 5.4%, a difference of 22.0%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.2% compared to 7.2%, a difference of 0.55%), unemployment among women with children ages 6 to 17 years (8.3% compared to 8.2%, a difference of 0.96%), and unemployment among ages 65 to 74 years (5.0% compared to 5.3%, a difference of 6.4%).

When considering labor participation, the most significant differences between Norwegian and Immigrants from South Eastern Asia communities in the United States are seen in in labor force | age 16-19 (46.2% compared to 35.6%, a difference of 29.7%), in labor force | age 20-24 (80.1% compared to 75.1%, a difference of 6.7%), and in labor force | age 25-29 (86.1% compared to 84.4%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.7% compared to 65.9%, a difference of 0.33%), in labor force | age 30-34 (85.7% compared to 84.7%, a difference of 1.2%), and in labor force | age 20-64 (81.0% compared to 79.8%, a difference of 1.5%).

When considering family structure, the most significant differences between Norwegian and Immigrants from South Eastern Asia communities in the United States are seen in single mother households (5.5% compared to 6.3%, a difference of 15.2%), average family size (3.08 compared to 3.36, a difference of 9.0%), and currently married (50.2% compared to 47.1%, a difference of 6.7%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.16%), married-couple households (49.5% compared to 48.4%, a difference of 2.3%), and births to unmarried women (29.3% compared to 30.4%, a difference of 3.5%).

When considering vehicle availability, the most significant differences between Norwegian and Immigrants from South Eastern Asia communities in the United States are seen in no vehicles in household (6.4% compared to 8.6%, a difference of 33.6%), 2 or more vehicles in household (62.8% compared to 59.6%, a difference of 5.5%), and 3 or more vehicles in household (23.9% compared to 23.1%, a difference of 3.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.7% compared to 91.4%, a difference of 2.5%), 4 or more vehicles in household (8.0% compared to 8.2%, a difference of 2.9%), and 3 or more vehicles in household (23.9% compared to 23.1%, a difference of 3.4%).

When considering education level, the most significant differences between Norwegian and Immigrants from South Eastern Asia communities in the United States are seen in no schooling completed (1.3% compared to 2.9%, a difference of 114.8%), doctorate degree (1.8% compared to 1.7%, a difference of 6.9%), and high school diploma (92.5% compared to 87.2%, a difference of 6.0%). Conversely, both communities are more comparable in terms of master's degree (14.0% compared to 14.0%, a difference of 0.52%), nursery school (98.7% compared to 97.1%, a difference of 1.7%), and kindergarten (98.7% compared to 97.1%, a difference of 1.7%).

When considering disability, the most significant differences between Norwegian and Immigrants from South Eastern Asia communities in the United States are seen in disability age under 5 (1.7% compared to 1.1%, a difference of 46.2%), hearing disability (3.7% compared to 3.0%, a difference of 24.7%), and disability age 18 to 34 (7.6% compared to 6.3%, a difference of 21.6%). Conversely, both communities are more comparable in terms of ambulatory disability (5.9% compared to 5.9%, a difference of 0.11%), vision disability (2.0% compared to 2.1%, a difference of 2.7%), and cognitive disability (16.5% compared to 17.0%, a difference of 3.2%).