German Russian vs Immigrants from Malaysia Community Comparison

The statistical analysis conducted on geographies consisting of 71,649,657 people shows a slight negative correlation between the proportion of Immigrants from Malaysia within German Russian communities in the United States with a correlation coefficient (R) of -0.074. On average, for every 1% (one percent) increase in German Russians within a typical geography, there is a decrease of 0.021% in Immigrants from Malaysia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 German Russians corresponds to a decrease of 20.9 Immigrants from Malaysia.

When considering income, the most significant differences between German Russian and Immigrants from Malaysia communities in the United States are seen in median household income ($75,856 compared to $96,292, a difference of 26.9%), householder income ages 25 - 44 years ($85,220 compared to $107,650, a difference of 26.3%), and householder income ages 45 - 64 years ($89,398 compared to $112,796, a difference of 26.2%). Conversely, both communities are more comparable in terms of wage/income gap (24.6% compared to 26.3%, a difference of 6.8%), median female earnings ($37,105 compared to $43,835, a difference of 18.1%), and householder income over 65 years ($55,356 compared to $65,497, a difference of 18.3%).

When considering poverty, the most significant differences between German Russian and Immigrants from Malaysia communities in the United States are seen in single female poverty (23.9% compared to 19.4%, a difference of 23.0%), female poverty among 18-24 year olds (25.2% compared to 20.5%, a difference of 22.9%), and child poverty under the age of 5 (18.8% compared to 15.6%, a difference of 20.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.0% compared to 11.0%, a difference of 0.090%), seniors poverty over the age of 75 (12.3% compared to 12.3%, a difference of 0.48%), and married-couple family poverty (5.0% compared to 5.1%, a difference of 3.8%).

When considering unemployment, the most significant differences between German Russian and Immigrants from Malaysia communities in the United States are seen in unemployment among women with children under 6 years (8.2% compared to 6.4%, a difference of 28.4%), unemployment among ages 35 to 44 years (4.7% compared to 4.3%, a difference of 7.7%), and unemployment among seniors over 75 years (8.4% compared to 7.9%, a difference of 7.0%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.2% compared to 17.2%, a difference of 0.11%), unemployment among ages 45 to 54 years (4.3% compared to 4.4%, a difference of 0.76%), and unemployment among youth under 25 years (11.2% compared to 11.3%, a difference of 0.86%).

When considering labor participation, the most significant differences between German Russian and Immigrants from Malaysia communities in the United States are seen in in labor force | age 16-19 (42.4% compared to 34.3%, a difference of 23.8%), in labor force | age 20-24 (77.5% compared to 73.3%, a difference of 5.7%), and in labor force | age 25-29 (85.8% compared to 85.0%, a difference of 0.99%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.1% compared to 80.1%, a difference of 0.090%), in labor force | age > 16 (66.1% compared to 66.1%, a difference of 0.11%), and in labor force | age 30-34 (85.2% compared to 85.1%, a difference of 0.17%).

When considering family structure, the most significant differences between German Russian and Immigrants from Malaysia communities in the United States are seen in births to unmarried women (33.1% compared to 27.4%, a difference of 20.9%), single mother households (6.7% compared to 5.7%, a difference of 17.7%), and single father households (2.4% compared to 2.0%, a difference of 16.6%). Conversely, both communities are more comparable in terms of average family size (3.15 compared to 3.22, a difference of 2.4%), currently married (45.5% compared to 47.3%, a difference of 3.8%), and family households with children (26.8% compared to 27.9%, a difference of 4.2%).

When considering vehicle availability, the most significant differences between German Russian and Immigrants from Malaysia communities in the United States are seen in no vehicles in household (10.5% compared to 13.6%, a difference of 28.9%), 4 or more vehicles in household (7.0% compared to 5.9%, a difference of 18.2%), and 3 or more vehicles in household (20.5% compared to 18.3%, a difference of 12.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.6% compared to 86.5%, a difference of 3.6%), 2 or more vehicles in household (55.6% compared to 52.7%, a difference of 5.6%), and 3 or more vehicles in household (20.5% compared to 18.3%, a difference of 12.1%).

When considering education level, the most significant differences between German Russian and Immigrants from Malaysia communities in the United States are seen in doctorate degree (1.8% compared to 2.6%, a difference of 44.7%), professional degree (4.0% compared to 5.7%, a difference of 43.9%), and master's degree (13.5% compared to 18.9%, a difference of 40.5%). Conversely, both communities are more comparable in terms of ged/equivalency (86.2% compared to 86.5%, a difference of 0.40%), nursery school (98.2% compared to 97.7%, a difference of 0.56%), and kindergarten (98.2% compared to 97.7%, a difference of 0.56%).

When considering disability, the most significant differences between German Russian and Immigrants from Malaysia communities in the United States are seen in disability age under 5 (1.6% compared to 1.1%, a difference of 48.4%), disability age 35 to 64 (12.5% compared to 9.7%, a difference of 27.8%), and disability age 18 to 34 (7.4% compared to 5.9%, a difference of 24.1%). Conversely, both communities are more comparable in terms of disability age over 75 (47.3% compared to 46.4%, a difference of 1.9%), cognitive disability (18.2% compared to 17.1%, a difference of 6.5%), and self-care disability (2.5% compared to 2.3%, a difference of 6.9%).