Immigrants from Thailand vs Immigrants from Panama Community Comparison

The statistical analysis conducted on geographies consisting of 172,729,911 people shows a poor positive correlation between the proportion of Immigrants from Panama within Immigrant from Thailand communities in the United States with a correlation coefficient (R) of 0.190. On average, for every 1% (one percent) increase in Immigrants from Thailand within a typical geography, there is an increase of 0.013% in Immigrants from Panama. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Thailand corresponds to an increase of 12.7 Immigrants from Panama.

When considering income, the most significant differences between Immigrants from Thailand and Immigrants from Panama communities in the United States are seen in householder income over 65 years ($60,217 compared to $56,944, a difference of 5.8%), wage/income gap (24.5% compared to 23.4%, a difference of 4.8%), and median family income ($99,840 compared to $95,647, a difference of 4.4%). Conversely, both communities are more comparable in terms of median female earnings ($38,810 compared to $39,049, a difference of 0.62%), median earnings ($45,598 compared to $45,198, a difference of 0.88%), and per capita income ($42,289 compared to $41,853, a difference of 1.0%).

When considering poverty, the most significant differences between Immigrants from Thailand and Immigrants from Panama communities in the United States are seen in seniors poverty over the age of 75 (12.2% compared to 13.9%, a difference of 14.5%), seniors poverty over the age of 65 (11.0% compared to 12.4%, a difference of 12.8%), and receiving food stamps (12.4% compared to 13.6%, a difference of 10.0%). Conversely, both communities are more comparable in terms of female poverty (14.4% compared to 14.4%, a difference of 0.090%), single mother poverty (29.9% compared to 29.8%, a difference of 0.35%), and single father poverty (15.8% compared to 15.9%, a difference of 0.38%).

When considering unemployment, the most significant differences between Immigrants from Thailand and Immigrants from Panama communities in the United States are seen in unemployment among ages 16 to 19 years (17.0% compared to 19.3%, a difference of 13.5%), unemployment among ages 20 to 24 years (9.8% compared to 10.8%, a difference of 10.8%), and unemployment among youth under 25 years (11.3% compared to 12.4%, a difference of 10.1%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.7% compared to 7.7%, a difference of 0.20%), unemployment among ages 55 to 59 years (4.7% compared to 4.8%, a difference of 1.1%), and unemployment among seniors over 65 years (5.0% compared to 5.1%, a difference of 1.2%).

When considering labor participation, the most significant differences between Immigrants from Thailand and Immigrants from Panama communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 34.0%, a difference of 14.0%), in labor force | age 20-24 (76.4% compared to 73.9%, a difference of 3.4%), and in labor force | age > 16 (65.7% compared to 65.1%, a difference of 1.0%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.0% compared to 84.0%, a difference of 0.060%), in labor force | age 30-34 (84.5% compared to 84.3%, a difference of 0.22%), and in labor force | age 20-64 (79.4% compared to 79.1%, a difference of 0.30%).

When considering family structure, the most significant differences between Immigrants from Thailand and Immigrants from Panama communities in the United States are seen in single father households (2.5% compared to 2.4%, a difference of 6.7%), single mother households (6.9% compared to 7.2%, a difference of 4.4%), and births to unmarried women (32.8% compared to 34.2%, a difference of 4.4%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.27, a difference of 0.20%), currently married (45.4% compared to 44.9%, a difference of 1.2%), and married-couple households (45.2% compared to 44.6%, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Immigrants from Thailand and Immigrants from Panama communities in the United States are seen in no vehicles in household (9.5% compared to 14.6%, a difference of 53.9%), 4 or more vehicles in household (6.9% compared to 5.7%, a difference of 21.6%), and 3 or more vehicles in household (20.5% compared to 17.7%, a difference of 15.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 85.4%, a difference of 6.0%), 2 or more vehicles in household (56.6% compared to 51.1%, a difference of 10.8%), and 3 or more vehicles in household (20.5% compared to 17.7%, a difference of 15.6%).

When considering education level, the most significant differences between Immigrants from Thailand and Immigrants from Panama communities in the United States are seen in no schooling completed (2.7% compared to 2.3%, a difference of 19.8%), doctorate degree (1.8% compared to 1.6%, a difference of 15.6%), and professional degree (4.3% compared to 4.1%, a difference of 4.7%). Conversely, both communities are more comparable in terms of high school diploma (88.0% compared to 88.0%, a difference of 0.010%), ged/equivalency (84.5% compared to 84.4%, a difference of 0.18%), and 12th grade, no diploma (90.1% compared to 90.3%, a difference of 0.24%).

When considering disability, the most significant differences between Immigrants from Thailand and Immigrants from Panama communities in the United States are seen in hearing disability (3.1% compared to 2.9%, a difference of 6.8%), disability age 18 to 34 (6.9% compared to 6.5%, a difference of 6.4%), and vision disability (2.2% compared to 2.3%, a difference of 5.2%). Conversely, both communities are more comparable in terms of disability (12.0% compared to 11.9%, a difference of 0.56%), female disability (12.4% compared to 12.3%, a difference of 0.65%), and male disability (11.6% compared to 11.5%, a difference of 0.66%).