Burmese vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 211,988,590 people shows a poor negative correlation between the proportion of Pennsylvania Germans within Burmese communities in the United States with a correlation coefficient (R) of -0.195. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.004% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 3.6 Pennsylvania Germans.

When considering income, the most significant differences between Burmese and Pennsylvania German communities in the United States are seen in per capita income ($52,005 compared to $37,842, a difference of 37.4%), median household income ($103,145 compared to $75,814, a difference of 36.0%), and householder income over 65 years ($71,139 compared to $52,888, a difference of 34.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $50,852, a difference of 7.8%), wage/income gap (28.0% compared to 30.7%, a difference of 9.6%), and median earnings ($54,559 compared to $42,615, a difference of 28.0%).

When considering poverty, the most significant differences between Burmese and Pennsylvania German communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 19.8%, a difference of 49.5%), child poverty among boys under 16 (13.0% compared to 17.9%, a difference of 38.0%), and female poverty among 25-34 year olds (11.2% compared to 15.4%, a difference of 38.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 11.8%, a difference of 0.94%), seniors poverty over the age of 65 (10.1% compared to 9.9%, a difference of 1.9%), and female poverty among 18-24 year olds (18.9% compared to 19.7%, a difference of 4.0%).

When considering unemployment, the most significant differences between Burmese and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 10.8%, a difference of 66.1%), unemployment among women with children ages 6 to 17 years (8.0% compared to 11.0%, a difference of 38.7%), and unemployment among seniors over 75 years (8.2% compared to 10.2%, a difference of 24.4%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.34%), unemployment among ages 45 to 54 years (4.2% compared to 4.3%, a difference of 1.0%), and unemployment among ages 20 to 24 years (10.2% compared to 10.0%, a difference of 1.1%).

When considering labor participation, the most significant differences between Burmese and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 46.4%, a difference of 34.6%), in labor force | age 20-24 (73.6% compared to 78.0%, a difference of 6.0%), and in labor force | age > 16 (66.2% compared to 63.4%, a difference of 4.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 83.6%, a difference of 1.8%), in labor force | age 35-44 (84.7% compared to 82.9%, a difference of 2.2%), and in labor force | age 20-64 (80.3% compared to 78.4%, a difference of 2.4%).

When considering family structure, the most significant differences between Burmese and Pennsylvania German communities in the United States are seen in births to unmarried women (26.4% compared to 34.0%, a difference of 29.0%), single father households (2.0% compared to 2.4%, a difference of 20.4%), and divorced or separated (10.7% compared to 12.1%, a difference of 12.6%). Conversely, both communities are more comparable in terms of family households (65.7% compared to 66.1%, a difference of 0.58%), average family size (3.22 compared to 3.19, a difference of 0.68%), and married-couple households (49.8% compared to 50.4%, a difference of 1.1%).

When considering vehicle availability, the most significant differences between Burmese and Pennsylvania German communities in the United States are seen in no vehicles in household (9.7% compared to 11.0%, a difference of 13.7%), 4 or more vehicles in household (6.8% compared to 7.6%, a difference of 11.6%), and 3 or more vehicles in household (20.6% compared to 22.3%, a difference of 8.2%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 58.5%, a difference of 1.2%), 1 or more vehicles in household (90.4% compared to 89.3%, a difference of 1.3%), and 3 or more vehicles in household (20.6% compared to 22.3%, a difference of 8.2%).

When considering education level, the most significant differences between Burmese and Pennsylvania German communities in the United States are seen in professional degree (6.1% compared to 3.0%, a difference of 106.7%), doctorate degree (2.6% compared to 1.4%, a difference of 90.9%), and master's degree (19.7% compared to 10.7%, a difference of 83.4%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 98.6%, a difference of 0.55%), kindergarten (98.1% compared to 98.6%, a difference of 0.55%), and 1st grade (98.0% compared to 98.6%, a difference of 0.56%).

When considering disability, the most significant differences between Burmese and Pennsylvania German communities in the United States are seen in disability age under 5 (1.1% compared to 1.9%, a difference of 73.7%), disability age 35 to 64 (9.2% compared to 12.8%, a difference of 39.5%), and disability age 5 to 17 (4.8% compared to 6.6%, a difference of 37.7%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.6%, a difference of 0.52%), disability age over 75 (45.9% compared to 47.2%, a difference of 2.7%), and self-care disability (2.3% compared to 2.5%, a difference of 9.0%).