Immigrants from Malaysia vs Eastern European Community Comparison

The statistical analysis conducted on geographies consisting of 188,636,316 people shows a weak positive correlation between the proportion of Eastern Europeans within Immigrant from Malaysia communities in the United States with a correlation coefficient (R) of 0.280. On average, for every 1% (one percent) increase in Immigrants from Malaysia within a typical geography, there is an increase of 0.085% in Eastern Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Malaysia corresponds to an increase of 84.7 Eastern Europeans.

When considering income, the most significant differences between Immigrants from Malaysia and Eastern European communities in the United States are seen in per capita income ($49,983 compared to $55,780, a difference of 11.6%), wage/income gap (26.3% compared to 28.6%, a difference of 8.9%), and median family income ($115,880 compared to $125,546, a difference of 8.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,179 compared to $54,066, a difference of 0.21%), median female earnings ($43,835 compared to $45,385, a difference of 3.5%), and median earnings ($52,514 compared to $55,084, a difference of 4.9%).

When considering poverty, the most significant differences between Immigrants from Malaysia and Eastern European communities in the United States are seen in married-couple family poverty (5.1% compared to 4.1%, a difference of 25.3%), family poverty (8.5% compared to 7.2%, a difference of 16.8%), and male poverty (11.0% compared to 9.6%, a difference of 14.3%). Conversely, both communities are more comparable in terms of single mother poverty (27.3% compared to 27.2%, a difference of 0.25%), single female poverty (19.4% compared to 19.1%, a difference of 1.5%), and female poverty among 18-24 year olds (20.5% compared to 19.9%, a difference of 2.9%).

When considering unemployment, the most significant differences between Immigrants from Malaysia and Eastern European communities in the United States are seen in unemployment among seniors over 75 years (7.9% compared to 8.9%, a difference of 12.9%), unemployment among women with children under 6 years (6.4% compared to 7.2%, a difference of 12.8%), and unemployment among ages 20 to 24 years (10.0% compared to 10.6%, a difference of 5.7%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 0.020%), unemployment among seniors over 65 years (5.0% compared to 5.0%, a difference of 0.090%), and unemployment among women with children under 18 years (5.0% compared to 5.0%, a difference of 0.20%).

When considering labor participation, the most significant differences between Immigrants from Malaysia and Eastern European communities in the United States are seen in in labor force | age 16-19 (34.3% compared to 36.4%, a difference of 6.1%), in labor force | age 20-24 (73.3% compared to 74.8%, a difference of 1.9%), and in labor force | age > 16 (66.1% compared to 65.1%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.1% compared to 80.2%, a difference of 0.19%), in labor force | age 45-54 (83.2% compared to 83.5%, a difference of 0.39%), and in labor force | age 25-29 (85.0% compared to 85.5%, a difference of 0.60%).

When considering family structure, the most significant differences between Immigrants from Malaysia and Eastern European communities in the United States are seen in single mother households (5.7% compared to 5.2%, a difference of 9.0%), family households with children (27.9% compared to 26.7%, a difference of 4.7%), and single father households (2.0% compared to 2.0%, a difference of 4.5%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 63.4%, a difference of 0.88%), births to unmarried women (27.4% compared to 27.7%, a difference of 1.4%), and married-couple households (47.2% compared to 48.6%, a difference of 3.0%).

When considering vehicle availability, the most significant differences between Immigrants from Malaysia and Eastern European communities in the United States are seen in no vehicles in household (13.6% compared to 11.7%, a difference of 16.5%), 2 or more vehicles in household (52.7% compared to 54.8%, a difference of 4.1%), and 3 or more vehicles in household (18.3% compared to 18.7%, a difference of 2.3%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (5.9% compared to 5.9%, a difference of 0.070%), 1 or more vehicles in household (86.5% compared to 88.5%, a difference of 2.3%), and 3 or more vehicles in household (18.3% compared to 18.7%, a difference of 2.3%).

When considering education level, the most significant differences between Immigrants from Malaysia and Eastern European communities in the United States are seen in no schooling completed (2.3% compared to 1.6%, a difference of 50.3%), professional degree (5.7% compared to 7.1%, a difference of 24.2%), and master's degree (18.9% compared to 21.1%, a difference of 11.6%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.5%, a difference of 0.83%), kindergarten (97.7% compared to 98.5%, a difference of 0.84%), and 1st grade (97.6% compared to 98.5%, a difference of 0.85%).

When considering disability, the most significant differences between Immigrants from Malaysia and Eastern European communities in the United States are seen in disability age under 5 (1.1% compared to 1.4%, a difference of 24.7%), hearing disability (2.7% compared to 3.1%, a difference of 13.7%), and disability age 18 to 34 (5.9% compared to 6.5%, a difference of 10.1%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 1.5%), disability age 35 to 64 (9.7% compared to 10.0%, a difference of 2.2%), and vision disability (1.9% compared to 2.0%, a difference of 2.2%).