Immigrants from Malaysia vs Northern European Community Comparison

The statistical analysis conducted on geographies consisting of 178,591,687 people shows a strong positive correlation between the proportion of Northern Europeans within Immigrant from Malaysia communities in the United States with a correlation coefficient (R) of 0.718. On average, for every 1% (one percent) increase in Immigrants from Malaysia within a typical geography, there is an increase of 0.444% in Northern Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Malaysia corresponds to an increase of 444.1 Northern Europeans.

When considering income, the most significant differences between Immigrants from Malaysia and Northern European communities in the United States are seen in median female earnings ($43,835 compared to $40,491, a difference of 8.3%), wage/income gap (26.3% compared to 28.3%, a difference of 7.6%), and median earnings ($52,514 compared to $48,887, a difference of 7.4%). Conversely, both communities are more comparable in terms of householder income over 65 years ($65,497 compared to $64,658, a difference of 1.3%), householder income ages 45 - 64 years ($112,796 compared to $107,870, a difference of 4.6%), and median family income ($115,880 compared to $110,635, a difference of 4.7%).

When considering poverty, the most significant differences between Immigrants from Malaysia and Northern European communities in the United States are seen in married-couple family poverty (5.1% compared to 4.3%, a difference of 20.7%), seniors poverty over the age of 65 (11.0% compared to 9.4%, a difference of 16.5%), and seniors poverty over the age of 75 (12.3% compared to 10.7%, a difference of 15.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.5% compared to 20.6%, a difference of 0.55%), child poverty among girls under 16 (15.0% compared to 14.8%, a difference of 1.3%), and child poverty under the age of 5 (15.6% compared to 16.0%, a difference of 2.4%).

When considering unemployment, the most significant differences between Immigrants from Malaysia and Northern European communities in the United States are seen in unemployment among women with children under 6 years (6.4% compared to 7.5%, a difference of 17.5%), unemployment among seniors over 75 years (7.9% compared to 9.1%, a difference of 15.7%), and unemployment among women with children ages 6 to 17 years (8.2% compared to 8.8%, a difference of 7.0%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.0% compared to 5.0%, a difference of 0.37%), unemployment among youth under 25 years (11.3% compared to 11.2%, a difference of 0.60%), and unemployment among ages 20 to 24 years (10.0% compared to 10.1%, a difference of 0.85%).

When considering labor participation, the most significant differences between Immigrants from Malaysia and Northern European communities in the United States are seen in in labor force | age 16-19 (34.3% compared to 40.2%, a difference of 17.3%), in labor force | age 20-24 (73.3% compared to 76.8%, a difference of 4.7%), and in labor force | age > 16 (66.1% compared to 64.7%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.0% compared to 84.9%, a difference of 0.14%), in labor force | age 30-34 (85.1% compared to 84.8%, a difference of 0.34%), and in labor force | age 35-44 (84.6% compared to 84.3%, a difference of 0.35%).

When considering family structure, the most significant differences between Immigrants from Malaysia and Northern European communities in the United States are seen in births to unmarried women (27.4% compared to 30.6%, a difference of 11.7%), divorced or separated (11.0% compared to 12.2%, a difference of 11.6%), and single father households (2.0% compared to 2.2%, a difference of 9.8%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 64.1%, a difference of 0.20%), single mother households (5.7% compared to 5.8%, a difference of 1.7%), and married-couple households (47.2% compared to 48.4%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Immigrants from Malaysia and Northern European communities in the United States are seen in no vehicles in household (13.6% compared to 7.9%, a difference of 71.4%), 4 or more vehicles in household (5.9% compared to 7.3%, a difference of 23.4%), and 3 or more vehicles in household (18.3% compared to 22.0%, a difference of 20.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.5% compared to 92.2%, a difference of 6.6%), 2 or more vehicles in household (52.7% compared to 59.9%, a difference of 13.6%), and 3 or more vehicles in household (18.3% compared to 22.0%, a difference of 20.3%).

When considering education level, the most significant differences between Immigrants from Malaysia and Northern European communities in the United States are seen in no schooling completed (2.3% compared to 1.6%, a difference of 48.2%), doctorate degree (2.6% compared to 2.2%, a difference of 14.8%), and master's degree (18.9% compared to 16.7%, a difference of 13.3%). Conversely, both communities are more comparable in terms of college, under 1 year (69.3% compared to 69.0%, a difference of 0.43%), nursery school (97.7% compared to 98.5%, a difference of 0.82%), and kindergarten (97.7% compared to 98.5%, a difference of 0.83%).

When considering disability, the most significant differences between Immigrants from Malaysia and Northern European communities in the United States are seen in disability age under 5 (1.1% compared to 1.6%, a difference of 41.4%), hearing disability (2.7% compared to 3.4%, a difference of 25.9%), and disability age 18 to 34 (5.9% compared to 7.3%, a difference of 23.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.4% compared to 46.3%, a difference of 0.32%), cognitive disability (17.1% compared to 16.8%, a difference of 1.8%), and self-care disability (2.3% compared to 2.4%, a difference of 4.3%).