Pennsylvania German vs Immigrants from Malaysia Community Comparison

The statistical analysis conducted on geographies consisting of 118,775,240 people shows a moderate positive correlation between the proportion of Immigrants from Malaysia within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.422. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.040% in Immigrants from Malaysia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 39.7 Immigrants from Malaysia.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Malaysia communities in the United States are seen in per capita income ($37,842 compared to $49,983, a difference of 32.1%), median household income ($75,814 compared to $96,292, a difference of 27.0%), and median family income ($91,763 compared to $115,880, a difference of 26.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $54,179, a difference of 6.5%), wage/income gap (30.7% compared to 26.3%, a difference of 16.7%), and median male earnings ($50,878 compared to $62,121, a difference of 22.1%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Malaysia communities in the United States are seen in single father poverty (20.0% compared to 15.2%, a difference of 31.7%), single male poverty (15.6% compared to 12.0%, a difference of 30.0%), and child poverty under the age of 5 (19.8% compared to 15.6%, a difference of 26.7%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.1% compared to 5.1%, a difference of 0.83%), poverty (12.2% compared to 12.0%, a difference of 1.3%), and male poverty (11.2% compared to 11.0%, a difference of 1.5%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Malaysia communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 6.4%, a difference of 68.5%), unemployment among women with children ages 6 to 17 years (11.0% compared to 8.2%, a difference of 34.9%), and unemployment among seniors over 75 years (10.2% compared to 7.9%, a difference of 29.5%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.080%), unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.67%), and unemployment among ages 45 to 54 years (4.3% compared to 4.4%, a difference of 1.8%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Malaysia communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 34.3%, a difference of 35.5%), in labor force | age 20-24 (78.0% compared to 73.3%, a difference of 6.3%), and in labor force | age > 16 (63.4% compared to 66.1%, a difference of 4.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 85.0%, a difference of 1.7%), in labor force | age 45-54 (81.6% compared to 83.2%, a difference of 1.9%), and in labor force | age 20-64 (78.4% compared to 80.1%, a difference of 2.1%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Malaysia communities in the United States are seen in births to unmarried women (34.0% compared to 27.4%, a difference of 24.3%), single father households (2.4% compared to 2.0%, a difference of 19.7%), and divorced or separated (12.1% compared to 11.0%, a difference of 10.0%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.22, a difference of 0.84%), family households with children (27.4% compared to 27.9%, a difference of 2.0%), and single mother households (5.8% compared to 5.7%, a difference of 2.7%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Malaysia communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.9%, a difference of 29.0%), no vehicles in household (11.0% compared to 13.6%, a difference of 23.5%), and 3 or more vehicles in household (22.3% compared to 18.3%, a difference of 22.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 86.5%, a difference of 3.2%), 2 or more vehicles in household (58.5% compared to 52.7%, a difference of 11.1%), and 3 or more vehicles in household (22.3% compared to 18.3%, a difference of 22.2%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Malaysia communities in the United States are seen in professional degree (3.0% compared to 5.7%, a difference of 92.2%), doctorate degree (1.4% compared to 2.6%, a difference of 85.7%), and master's degree (10.7% compared to 18.9%, a difference of 76.1%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.7%, a difference of 0.96%), kindergarten (98.6% compared to 97.7%, a difference of 0.97%), and 1st grade (98.6% compared to 97.6%, a difference of 0.98%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Malaysia communities in the United States are seen in disability age under 5 (1.9% compared to 1.1%, a difference of 77.7%), hearing disability (3.7% compared to 2.7%, a difference of 36.4%), and disability age 5 to 17 (6.6% compared to 5.0%, a difference of 32.7%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 46.4%, a difference of 1.6%), cognitive disability (16.6% compared to 17.1%, a difference of 3.2%), and self-care disability (2.5% compared to 2.3%, a difference of 7.4%).