Immigrants from Germany vs Immigrants from Thailand Community Comparison

The statistical analysis conducted on geographies consisting of 296,110,146 people shows a substantial positive correlation between the proportion of Immigrants from Thailand within Immigrant from Germany communities in the United States with a correlation coefficient (R) of 0.509. On average, for every 1% (one percent) increase in Immigrants from Germany within a typical geography, there is an increase of 0.086% in Immigrants from Thailand. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Germany corresponds to an increase of 85.9 Immigrants from Thailand.

When considering income, the most significant differences between Immigrants from Germany and Immigrants from Thailand communities in the United States are seen in wage/income gap (27.5% compared to 24.5%, a difference of 12.2%), per capita income ($45,751 compared to $42,289, a difference of 8.2%), and median male earnings ($56,542 compared to $52,908, a difference of 6.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,190 compared to $50,645, a difference of 1.1%), median female earnings ($39,603 compared to $38,810, a difference of 2.0%), and householder income over 65 years ($62,544 compared to $60,217, a difference of 3.9%).

When considering poverty, the most significant differences between Immigrants from Germany and Immigrants from Thailand communities in the United States are seen in married-couple family poverty (4.7% compared to 5.5%, a difference of 16.9%), receiving food stamps (10.7% compared to 12.4%, a difference of 15.4%), and family poverty (8.5% compared to 9.7%, a difference of 13.3%). Conversely, both communities are more comparable in terms of single mother poverty (29.5% compared to 29.9%, a difference of 1.4%), female poverty among 25-34 year olds (13.9% compared to 14.3%, a difference of 3.2%), and female poverty among 18-24 year olds (20.3% compared to 20.9%, a difference of 3.3%).

When considering unemployment, the most significant differences between Immigrants from Germany and Immigrants from Thailand communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.2% compared to 8.3%, a difference of 11.0%), unemployment among ages 20 to 24 years (10.4% compared to 9.8%, a difference of 6.0%), and male unemployment (5.2% compared to 5.4%, a difference of 5.0%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.0% compared to 5.0%, a difference of 0.34%), unemployment among women with children under 18 years (5.5% compared to 5.4%, a difference of 0.49%), and unemployment among ages 60 to 64 years (4.7% compared to 4.7%, a difference of 0.51%).

When considering labor participation, the most significant differences between Immigrants from Germany and Immigrants from Thailand communities in the United States are seen in in labor force | age > 16 (63.9% compared to 65.7%, a difference of 2.8%), in labor force | age 16-19 (39.1% compared to 38.7%, a difference of 0.94%), and in labor force | age 20-64 (78.8% compared to 79.4%, a difference of 0.70%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.9% compared to 84.0%, a difference of 0.080%), in labor force | age 45-54 (82.1% compared to 81.9%, a difference of 0.19%), and in labor force | age 30-34 (84.3% compared to 84.5%, a difference of 0.20%).

When considering family structure, the most significant differences between Immigrants from Germany and Immigrants from Thailand communities in the United States are seen in single mother households (6.1% compared to 6.9%, a difference of 11.6%), single father households (2.3% compared to 2.5%, a difference of 10.5%), and currently married (47.8% compared to 45.4%, a difference of 5.3%). Conversely, both communities are more comparable in terms of births to unmarried women (32.8% compared to 32.8%, a difference of 0.010%), family households (64.3% compared to 63.8%, a difference of 0.76%), and divorced or separated (12.4% compared to 12.1%, a difference of 2.1%).

When considering vehicle availability, the most significant differences between Immigrants from Germany and Immigrants from Thailand communities in the United States are seen in no vehicles in household (8.7% compared to 9.5%, a difference of 9.0%), 2 or more vehicles in household (57.9% compared to 56.6%, a difference of 2.3%), and 3 or more vehicles in household (20.8% compared to 20.5%, a difference of 1.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 90.6%, a difference of 0.92%), 4 or more vehicles in household (6.8% compared to 6.9%, a difference of 1.4%), and 3 or more vehicles in household (20.8% compared to 20.5%, a difference of 1.6%).

When considering education level, the most significant differences between Immigrants from Germany and Immigrants from Thailand communities in the United States are seen in no schooling completed (1.8% compared to 2.7%, a difference of 52.5%), professional degree (4.9% compared to 4.3%, a difference of 13.2%), and doctorate degree (2.1% compared to 1.8%, a difference of 13.2%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 97.3%, a difference of 0.98%), kindergarten (98.3% compared to 97.3%, a difference of 0.98%), and 1st grade (98.2% compared to 97.3%, a difference of 0.99%).

When considering disability, the most significant differences between Immigrants from Germany and Immigrants from Thailand communities in the United States are seen in disability age under 5 (1.4% compared to 1.2%, a difference of 17.0%), hearing disability (3.5% compared to 3.1%, a difference of 11.7%), and male disability (12.3% compared to 11.6%, a difference of 5.9%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (11.9% compared to 12.0%, a difference of 1.3%), self-care disability (2.5% compared to 2.6%, a difference of 1.8%), and female disability (12.7% compared to 12.4%, a difference of 2.4%).