German vs Bhutanese Community Comparison

The statistical analysis conducted on geographies consisting of 455,469,082 people shows a weak positive correlation between the proportion of Bhutanese within German communities in the United States with a correlation coefficient (R) of 0.215. On average, for every 1% (one percent) increase in Germans within a typical geography, there is an increase of 0.007% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Germans corresponds to an increase of 7.4 Bhutanese.

When considering income, the most significant differences between German and Bhutanese communities in the United States are seen in householder income over 65 years ($59,730 compared to $72,288, a difference of 21.0%), median household income ($83,358 compared to $100,151, a difference of 20.2%), and householder income ages 45 - 64 years ($100,224 compared to $117,750, a difference of 17.5%). Conversely, both communities are more comparable in terms of wage/income gap (29.2% compared to 27.0%, a difference of 8.1%), median male earnings ($54,974 compared to $61,759, a difference of 12.3%), and householder income under 25 years ($50,804 compared to $57,078, a difference of 12.3%).

When considering poverty, the most significant differences between German and Bhutanese communities in the United States are seen in single male poverty (13.9% compared to 11.1%, a difference of 25.9%), child poverty under the age of 5 (16.5% compared to 13.4%, a difference of 23.3%), and single female poverty (21.8% compared to 17.7%, a difference of 23.1%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.0% compared to 4.1%, a difference of 1.5%), seniors poverty over the age of 75 (10.4% compared to 10.6%, a difference of 2.2%), and seniors poverty over the age of 65 (9.0% compared to 9.3%, a difference of 4.4%).

When considering unemployment, the most significant differences between German and Bhutanese communities in the United States are seen in unemployment among seniors over 75 years (10.3% compared to 8.0%, a difference of 27.4%), unemployment among women with children under 6 years (8.0% compared to 6.7%, a difference of 18.8%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 8.1%, a difference of 14.4%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.3% compared to 4.4%, a difference of 0.65%), unemployment among seniors over 65 years (4.9% compared to 4.8%, a difference of 0.74%), and unemployment among ages 60 to 64 years (4.5% compared to 4.5%, a difference of 1.1%).

When considering labor participation, the most significant differences between German and Bhutanese communities in the United States are seen in in labor force | age 16-19 (44.2% compared to 36.3%, a difference of 21.7%), in labor force | age 20-24 (78.6% compared to 75.4%, a difference of 4.2%), and in labor force | age > 16 (64.4% compared to 65.5%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.030%), in labor force | age 30-34 (84.8% compared to 85.0%, a difference of 0.15%), and in labor force | age 25-29 (85.3% compared to 84.8%, a difference of 0.51%).

When considering family structure, the most significant differences between German and Bhutanese communities in the United States are seen in births to unmarried women (32.0% compared to 27.9%, a difference of 14.8%), single father households (2.4% compared to 2.1%, a difference of 12.6%), and divorced or separated (12.5% compared to 11.2%, a difference of 11.6%). Conversely, both communities are more comparable in terms of married-couple households (49.2% compared to 49.3%, a difference of 0.19%), family households with children (27.1% compared to 27.3%, a difference of 0.70%), and currently married (49.6% compared to 48.6%, a difference of 1.9%).

When considering vehicle availability, the most significant differences between German and Bhutanese communities in the United States are seen in no vehicles in household (6.7% compared to 8.7%, a difference of 30.5%), 4 or more vehicles in household (7.5% compared to 7.8%, a difference of 4.7%), and 2 or more vehicles in household (61.6% compared to 59.1%, a difference of 4.2%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (22.7% compared to 22.2%, a difference of 2.2%), 1 or more vehicles in household (93.6% compared to 91.4%, a difference of 2.5%), and 2 or more vehicles in household (61.6% compared to 59.1%, a difference of 4.2%).

When considering education level, the most significant differences between German and Bhutanese communities in the United States are seen in professional degree (4.1% compared to 5.4%, a difference of 33.3%), no schooling completed (1.4% compared to 1.8%, a difference of 32.8%), and doctorate degree (1.8% compared to 2.3%, a difference of 30.2%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (93.3% compared to 93.0%, a difference of 0.33%), nursery school (98.7% compared to 98.2%, a difference of 0.49%), and kindergarten (98.7% compared to 98.2%, a difference of 0.49%).

When considering disability, the most significant differences between German and Bhutanese communities in the United States are seen in disability age under 5 (1.7% compared to 1.2%, a difference of 47.1%), disability age 5 to 17 (6.1% compared to 4.9%, a difference of 25.7%), and disability age 35 to 64 (12.3% compared to 9.8%, a difference of 24.9%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.6%, a difference of 0.59%), disability age over 75 (46.3% compared to 47.1%, a difference of 1.7%), and self-care disability (2.4% compared to 2.4%, a difference of 1.8%).