Immigrants from Southern Europe vs Thai Community Comparison

The statistical analysis conducted on geographies consisting of 377,782,519 people shows a strong negative correlation between the proportion of Thais within Immigrant from Southern Europe communities in the United States with a correlation coefficient (R) of -0.791. On average, for every 1% (one percent) increase in Immigrants from Southern Europe within a typical geography, there is a decrease of 0.184% in Thais. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Southern Europe corresponds to a decrease of 183.8 Thais.

When considering income, the most significant differences between Immigrants from Southern Europe and Thai communities in the United States are seen in median male earnings ($59,217 compared to $72,135, a difference of 21.8%), median household income ($91,605 compared to $110,648, a difference of 20.8%), and householder income ages 45 - 64 years ($107,775 compared to $129,560, a difference of 20.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,484 compared to $59,187, a difference of 8.6%), median female earnings ($42,275 compared to $47,577, a difference of 12.5%), and per capita income ($48,027 compared to $54,307, a difference of 13.1%).

When considering poverty, the most significant differences between Immigrants from Southern Europe and Thai communities in the United States are seen in receiving food stamps (11.5% compared to 8.1%, a difference of 41.4%), child poverty among boys under 16 (15.6% compared to 11.7%, a difference of 33.4%), and child poverty under the age of 5 (16.1% compared to 12.3%, a difference of 31.1%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (18.2% compared to 17.0%, a difference of 7.0%), single father poverty (16.7% compared to 14.5%, a difference of 14.7%), and single female poverty (19.9% compared to 17.3%, a difference of 14.9%).

When considering unemployment, the most significant differences between Immigrants from Southern Europe and Thai communities in the United States are seen in unemployment among ages 35 to 44 years (4.7% compared to 3.9%, a difference of 20.4%), unemployment among women with children under 6 years (7.5% compared to 6.3%, a difference of 18.8%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 7.8%, a difference of 18.1%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.7%, a difference of 3.9%), unemployment among ages 20 to 24 years (10.5% compared to 10.0%, a difference of 5.4%), and unemployment among youth under 25 years (11.8% compared to 11.0%, a difference of 7.5%).

When considering labor participation, the most significant differences between Immigrants from Southern Europe and Thai communities in the United States are seen in in labor force | age 16-19 (36.4% compared to 34.6%, a difference of 5.5%), in labor force | age > 16 (65.0% compared to 67.2%, a difference of 3.4%), and in labor force | age 45-54 (82.9% compared to 84.3%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.1% compared to 85.2%, a difference of 0.16%), in labor force | age 35-44 (84.8% compared to 85.2%, a difference of 0.44%), and in labor force | age 25-29 (85.0% compared to 85.5%, a difference of 0.50%).

When considering family structure, the most significant differences between Immigrants from Southern Europe and Thai communities in the United States are seen in births to unmarried women (31.1% compared to 24.0%, a difference of 29.4%), single mother households (6.1% compared to 5.2%, a difference of 16.1%), and family households with children (26.9% compared to 30.6%, a difference of 13.7%). Conversely, both communities are more comparable in terms of average family size (3.18 compared to 3.22, a difference of 1.4%), family households (64.4% compared to 67.2%, a difference of 4.3%), and currently married (46.9% compared to 50.9%, a difference of 8.4%).

When considering vehicle availability, the most significant differences between Immigrants from Southern Europe and Thai communities in the United States are seen in no vehicles in household (13.0% compared to 8.2%, a difference of 59.1%), 2 or more vehicles in household (52.3% compared to 57.9%, a difference of 10.9%), and 3 or more vehicles in household (17.9% compared to 19.8%, a difference of 10.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.1% compared to 91.9%, a difference of 5.5%), 4 or more vehicles in household (5.7% compared to 6.2%, a difference of 8.9%), and 3 or more vehicles in household (17.9% compared to 19.8%, a difference of 10.6%).

When considering education level, the most significant differences between Immigrants from Southern Europe and Thai communities in the United States are seen in doctorate degree (2.0% compared to 2.8%, a difference of 36.0%), master's degree (16.6% compared to 21.7%, a difference of 30.7%), and bachelor's degree (40.0% compared to 50.1%, a difference of 25.4%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 98.2%, a difference of 0.34%), kindergarten (97.8% compared to 98.2%, a difference of 0.34%), and 1st grade (97.8% compared to 98.1%, a difference of 0.34%).

When considering disability, the most significant differences between Immigrants from Southern Europe and Thai communities in the United States are seen in disability age under 5 (1.4% compared to 1.1%, a difference of 32.5%), disability age 35 to 64 (10.7% compared to 8.6%, a difference of 25.2%), and ambulatory disability (6.1% compared to 4.9%, a difference of 23.7%). Conversely, both communities are more comparable in terms of disability age over 75 (46.2% compared to 45.4%, a difference of 1.8%), cognitive disability (16.7% compared to 16.1%, a difference of 3.9%), and disability age 65 to 74 (22.1% compared to 20.1%, a difference of 10.2%).