German vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 465,130,369 people shows a slight positive correlation between the proportion of Burmese within German communities in the United States with a correlation coefficient (R) of 0.077. On average, for every 1% (one percent) increase in Germans within a typical geography, there is an increase of 0.002% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Germans corresponds to an increase of 2.4 Burmese.

When considering income, the most significant differences between German and Burmese communities in the United States are seen in median household income ($83,358 compared to $103,145, a difference of 23.7%), householder income ages 25 - 44 years ($93,531 compared to $113,701, a difference of 21.6%), and householder income ages 45 - 64 years ($100,224 compared to $121,444, a difference of 21.2%). Conversely, both communities are more comparable in terms of wage/income gap (29.2% compared to 28.0%, a difference of 4.1%), householder income under 25 years ($50,804 compared to $54,800, a difference of 7.9%), and median female earnings ($37,986 compared to $44,911, a difference of 18.2%).

When considering poverty, the most significant differences between German and Burmese communities in the United States are seen in child poverty under the age of 5 (16.5% compared to 13.2%, a difference of 24.4%), female poverty among 25-34 year olds (13.6% compared to 11.2%, a difference of 22.0%), and single female poverty (21.8% compared to 18.3%, a difference of 19.2%). Conversely, both communities are more comparable in terms of male poverty (10.1% compared to 9.7%, a difference of 4.1%), poverty (11.1% compared to 10.7%, a difference of 4.4%), and family poverty (7.7% compared to 7.3%, a difference of 4.6%).

When considering unemployment, the most significant differences between German and Burmese communities in the United States are seen in unemployment among seniors over 75 years (10.3% compared to 8.2%, a difference of 25.4%), unemployment among women with children under 6 years (8.0% compared to 6.5%, a difference of 23.0%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 8.0%, a difference of 15.9%). 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 0.22%), unemployment among ages 65 to 74 years (5.1% compared to 5.2%, a difference of 1.7%), and unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 1.7%).

When considering labor participation, the most significant differences between German and Burmese communities in the United States are seen in in labor force | age 16-19 (44.2% compared to 34.5%, a difference of 28.1%), in labor force | age 20-24 (78.6% compared to 73.6%, a difference of 6.8%), and in labor force | age > 16 (64.4% compared to 66.2%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.010%), in labor force | age 25-29 (85.3% compared to 85.1%, a difference of 0.14%), and in labor force | age 30-34 (84.8% compared to 85.3%, a difference of 0.48%).

When considering family structure, the most significant differences between German and Burmese communities in the United States are seen in births to unmarried women (32.0% compared to 26.4%, a difference of 21.3%), single father households (2.4% compared to 2.0%, a difference of 17.0%), and divorced or separated (12.5% compared to 10.7%, a difference of 16.4%). Conversely, both communities are more comparable in terms of married-couple households (49.2% compared to 49.8%, a difference of 1.3%), currently married (49.6% compared to 48.9%, a difference of 1.3%), and family households (64.4% compared to 65.7%, a difference of 2.0%).

When considering vehicle availability, the most significant differences between German and Burmese communities in the United States are seen in no vehicles in household (6.7% compared to 9.7%, a difference of 44.9%), 3 or more vehicles in household (22.7% compared to 20.6%, a difference of 10.2%), and 4 or more vehicles in household (7.5% compared to 6.8%, a difference of 9.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.6% compared to 90.4%, a difference of 3.6%), 2 or more vehicles in household (61.6% compared to 57.8%, a difference of 6.5%), and 4 or more vehicles in household (7.5% compared to 6.8%, a difference of 9.2%).

When considering education level, the most significant differences between German and Burmese communities in the United States are seen in professional degree (4.1% compared to 6.1%, a difference of 50.5%), doctorate degree (1.8% compared to 2.6%, a difference of 47.8%), and no schooling completed (1.4% compared to 1.9%, a difference of 43.8%). Conversely, both communities are more comparable in terms of ged/equivalency (87.9% compared to 88.3%, a difference of 0.45%), nursery school (98.7% compared to 98.1%, a difference of 0.65%), and kindergarten (98.7% compared to 98.1%, a difference of 0.65%).

When considering disability, the most significant differences between German and Burmese communities in the United States are seen in disability age under 5 (1.7% compared to 1.1%, a difference of 53.3%), disability age 35 to 64 (12.3% compared to 9.2%, a difference of 33.4%), and hearing disability (3.7% compared to 2.8%, a difference of 33.3%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.7%, a difference of 0.010%), disability age over 75 (46.3% compared to 45.9%, a difference of 0.81%), and self-care disability (2.4% compared to 2.3%, a difference of 7.4%).