Immigrants from Southern Europe vs Bhutanese Community Comparison

The statistical analysis conducted on geographies consisting of 362,850,817 people shows a very strong positive correlation between the proportion of Bhutanese within Immigrant from Southern Europe communities in the United States with a correlation coefficient (R) of 0.878. On average, for every 1% (one percent) increase in Immigrants from Southern Europe within a typical geography, there is an increase of 0.870% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Southern Europe corresponds to an increase of 870.2 Bhutanese.

When considering income, the most significant differences between Immigrants from Southern Europe and Bhutanese communities in the United States are seen in householder income over 65 years ($61,902 compared to $72,288, a difference of 16.8%), median household income ($91,605 compared to $100,151, a difference of 9.3%), and householder income ages 45 - 64 years ($107,775 compared to $117,750, a difference of 9.2%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 27.0%, a difference of 2.1%), median female earnings ($42,275 compared to $43,648, a difference of 3.3%), and per capita income ($48,027 compared to $49,894, a difference of 3.9%).

When considering poverty, the most significant differences between Immigrants from Southern Europe and Bhutanese communities in the United States are seen in receiving food stamps (11.5% compared to 9.2%, a difference of 24.4%), child poverty among boys under 16 (15.6% compared to 12.6%, a difference of 23.7%), and child poverty under the age of 16 (15.1% compared to 12.5%, a difference of 20.9%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (18.2% compared to 18.2%, a difference of 0.16%), single mother poverty (28.4% compared to 25.6%, a difference of 11.0%), and single father poverty (16.7% compared to 15.0%, a difference of 11.4%).

When considering unemployment, the most significant differences between Immigrants from Southern Europe and Bhutanese communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.2% compared to 8.1%, a difference of 14.7%), unemployment among seniors over 75 years (9.2% compared to 8.0%, a difference of 13.8%), and unemployment among ages 45 to 54 years (4.7% compared to 4.2%, a difference of 12.4%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.5% compared to 10.0%, a difference of 5.6%), unemployment among youth under 25 years (11.8% compared to 11.2%, a difference of 6.0%), and unemployment among ages 30 to 34 years (5.6% compared to 5.2%, a difference of 6.8%).

When considering labor participation, the most significant differences between Immigrants from Southern Europe and Bhutanese communities in the United States are seen in in labor force | age 20-24 (74.5% compared to 75.4%, a difference of 1.2%), in labor force | age > 16 (65.0% compared to 65.5%, a difference of 0.74%), and in labor force | age 45-54 (82.9% compared to 83.5%, a difference of 0.73%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.1% compared to 85.0%, a difference of 0.12%), in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.14%), and in labor force | age 25-29 (85.0% compared to 84.8%, a difference of 0.25%).

When considering family structure, the most significant differences between Immigrants from Southern Europe and Bhutanese communities in the United States are seen in single mother households (6.1% compared to 5.3%, a difference of 14.9%), births to unmarried women (31.1% compared to 27.9%, a difference of 11.5%), and married-couple households (46.8% compared to 49.3%, a difference of 5.2%). Conversely, both communities are more comparable in terms of family households with children (26.9% compared to 27.3%, a difference of 1.3%), single father households (2.2% compared to 2.1%, a difference of 2.0%), and family households (64.4% compared to 65.9%, a difference of 2.3%).

When considering vehicle availability, the most significant differences between Immigrants from Southern Europe and Bhutanese communities in the United States are seen in no vehicles in household (13.0% compared to 8.7%, a difference of 49.4%), 4 or more vehicles in household (5.7% compared to 7.8%, a difference of 36.1%), and 3 or more vehicles in household (17.9% compared to 22.2%, a difference of 24.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.1% compared to 91.4%, a difference of 5.0%), 2 or more vehicles in household (52.3% compared to 59.1%, a difference of 13.0%), and 3 or more vehicles in household (17.9% compared to 22.2%, a difference of 24.1%).

When considering education level, the most significant differences between Immigrants from Southern Europe and Bhutanese communities in the United States are seen in no schooling completed (2.2% compared to 1.8%, a difference of 20.7%), doctorate degree (2.0% compared to 2.3%, a difference of 14.1%), and college, 1 year or more (59.5% compared to 64.6%, a difference of 8.6%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 98.2%, a difference of 0.39%), kindergarten (97.8% compared to 98.2%, a difference of 0.39%), and 1st grade (97.8% compared to 98.2%, a difference of 0.39%).

When considering disability, the most significant differences between Immigrants from Southern Europe and Bhutanese communities in the United States are seen in disability age under 5 (1.4% compared to 1.2%, a difference of 20.1%), disability age 5 to 17 (5.6% compared to 4.9%, a difference of 13.7%), and disability age 35 to 64 (10.7% compared to 9.8%, a difference of 9.1%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.6%, a difference of 1.1%), disability age over 75 (46.2% compared to 47.1%, a difference of 1.9%), and male disability (11.2% compared to 11.0%, a difference of 2.0%).