Bhutanese vs German Community Comparison

The statistical analysis conducted on geographies consisting of 455,469,332 people shows a mild negative correlation between the proportion of Germans within Bhutanese communities in the United States with a correlation coefficient (R) of -0.323. On average, for every 1% (one percent) increase in Bhutanese within a typical geography, there is a decrease of 0.096% in Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bhutanese corresponds to a decrease of 96.4 Germans.

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

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

When considering unemployment, the most significant differences between Bhutanese and German communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 10.3%, a difference of 27.4%), unemployment among women with children under 6 years (6.7% compared to 8.0%, a difference of 18.8%), and unemployment among women with children ages 6 to 17 years (8.1% compared to 9.2%, a difference of 14.4%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.4% compared to 4.3%, a difference of 0.65%), unemployment among seniors over 65 years (4.8% compared to 4.9%, 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 Bhutanese and German communities in the United States are seen in in labor force | age 16-19 (36.3% compared to 44.2%, a difference of 21.7%), in labor force | age 20-24 (75.4% compared to 78.6%, a difference of 4.2%), and in labor force | age > 16 (65.5% compared to 64.4%, 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 (85.0% compared to 84.8%, a difference of 0.15%), and in labor force | age 25-29 (84.8% compared to 85.3%, a difference of 0.51%).

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

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

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

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