Immigrants from Western Europe vs Bhutanese Community Comparison

The statistical analysis conducted on geographies consisting of 425,818,099 people shows a poor positive correlation between the proportion of Bhutanese within Immigrant from Western Europe communities in the United States with a correlation coefficient (R) of 0.157. On average, for every 1% (one percent) increase in Immigrants from Western Europe within a typical geography, there is an increase of 0.064% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Europe corresponds to an increase of 64.0 Bhutanese.

When considering income, the most significant differences between Immigrants from Western Europe and Bhutanese communities in the United States are seen in householder income over 65 years ($64,933 compared to $72,288, a difference of 11.3%), median household income ($91,936 compared to $100,151, a difference of 8.9%), and householder income ages 45 - 64 years ($108,824 compared to $117,750, a difference of 8.2%). Conversely, both communities are more comparable in terms of per capita income ($50,065 compared to $49,894, a difference of 0.34%), median male earnings ($60,334 compared to $61,759, a difference of 2.4%), and wage/income gap (27.8% compared to 27.0%, a difference of 2.9%).

When considering poverty, the most significant differences between Immigrants from Western Europe and Bhutanese communities in the United States are seen in child poverty under the age of 5 (16.5% compared to 13.4%, a difference of 23.7%), child poverty among boys under 16 (15.4% compared to 12.6%, a difference of 22.5%), and child poverty among girls under 16 (15.4% compared to 12.7%, a difference of 21.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.4% compared to 9.3%, a difference of 11.0%), receiving food stamps (10.3% compared to 9.2%, a difference of 12.0%), and seniors poverty over the age of 75 (11.9% compared to 10.6%, a difference of 12.0%).

When considering unemployment, the most significant differences between Immigrants from Western Europe and Bhutanese communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 6.7%, a difference of 14.3%), unemployment among women with children ages 6 to 17 years (9.1% compared to 8.1%, a difference of 13.5%), and unemployment among seniors over 75 years (8.9% compared to 8.0%, a difference of 10.8%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.5% compared to 11.2%, a difference of 3.2%), female unemployment (5.1% compared to 4.9%, a difference of 3.7%), and unemployment (5.1% compared to 4.9%, a difference of 3.7%).

When considering labor participation, the most significant differences between Immigrants from Western Europe and Bhutanese communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 36.3%, a difference of 3.4%), in labor force | age > 16 (64.2% compared to 65.5%, a difference of 1.9%), and in labor force | age 20-64 (79.1% compared to 80.2%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (75.3% compared to 75.4%, a difference of 0.19%), in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.21%), and in labor force | age 30-34 (84.7% compared to 85.0%, a difference of 0.29%).

When considering family structure, the most significant differences between Immigrants from Western Europe and Bhutanese communities in the United States are seen in births to unmarried women (31.1% compared to 27.9%, a difference of 11.4%), single mother households (5.8% compared to 5.3%, a difference of 9.5%), and divorced or separated (12.1% compared to 11.2%, a difference of 8.0%). Conversely, both communities are more comparable in terms of single father households (2.1% compared to 2.1%, a difference of 1.5%), currently married (47.6% compared to 48.6%, a difference of 2.1%), and family households with children (26.4% compared to 27.3%, a difference of 3.4%).

When considering vehicle availability, the most significant differences between Immigrants from Western Europe and Bhutanese communities in the United States are seen in no vehicles in household (10.9% compared to 8.7%, a difference of 25.2%), 4 or more vehicles in household (6.3% compared to 7.8%, a difference of 23.4%), and 3 or more vehicles in household (19.5% compared to 22.2%, a difference of 13.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.2% compared to 91.4%, a difference of 2.4%), 2 or more vehicles in household (55.4% compared to 59.1%, a difference of 6.7%), and 3 or more vehicles in household (19.5% compared to 22.2%, a difference of 13.8%).

When considering education level, the most significant differences between Immigrants from Western Europe and Bhutanese communities in the United States are seen in professional degree (5.7% compared to 5.4%, a difference of 5.1%), doctorate degree (2.4% compared to 2.3%, a difference of 4.9%), and master's degree (17.8% compared to 17.2%, a difference of 3.7%). Conversely, both communities are more comparable in terms of 9th grade (95.7% compared to 95.7%, a difference of 0.030%), nursery school (98.3% compared to 98.2%, a difference of 0.060%), and kindergarten (98.3% compared to 98.2%, a difference of 0.060%).

When considering disability, the most significant differences between Immigrants from Western Europe and Bhutanese communities in the United States are seen in disability age under 5 (1.4% compared to 1.2%, a difference of 18.6%), disability age 5 to 17 (5.6% compared to 4.9%, a difference of 14.6%), and disability age 35 to 64 (11.1% compared to 9.8%, a difference of 13.1%). Conversely, both communities are more comparable in terms of disability age over 75 (46.2% compared to 47.1%, a difference of 2.0%), cognitive disability (16.9% compared to 16.6%, a difference of 2.1%), and self-care disability (2.4% compared to 2.4%, a difference of 2.5%).