White/Caucasian vs Immigrants from Thailand Community Comparison

The statistical analysis conducted on geographies consisting of 312,110,555 people shows a poor negative correlation between the proportion of Immigrants from Thailand within White/Caucasian communities in the United States with a correlation coefficient (R) of -0.106. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is a decrease of 0.000% in Immigrants from Thailand. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to a decrease of 0.2 Immigrants from Thailand.

When considering income, the most significant differences between White/Caucasian and Immigrants from Thailand communities in the United States are seen in wage/income gap (28.5% compared to 24.5%, a difference of 16.2%), median female earnings ($37,531 compared to $38,810, a difference of 3.4%), and householder income over 65 years ($58,847 compared to $60,217, a difference of 2.3%). Conversely, both communities are more comparable in terms of median family income ($99,800 compared to $99,840, a difference of 0.040%), per capita income ($42,180 compared to $42,289, a difference of 0.26%), and householder income ages 25 - 44 years ($91,668 compared to $91,337, a difference of 0.36%).

When considering poverty, the most significant differences between White/Caucasian and Immigrants from Thailand communities in the United States are seen in single father poverty (18.4% compared to 15.8%, a difference of 16.1%), married-couple family poverty (4.8% compared to 5.5%, a difference of 13.9%), and receiving food stamps (11.1% compared to 12.4%, a difference of 12.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.8% compared to 20.9%, a difference of 0.73%), child poverty under the age of 5 (18.1% compared to 18.3%, a difference of 1.0%), and female poverty among 25-34 year olds (14.7% compared to 14.3%, a difference of 2.2%).

When considering unemployment, the most significant differences between White/Caucasian and Immigrants from Thailand communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.6% compared to 8.3%, a difference of 16.0%), unemployment among seniors over 75 years (10.1% compared to 8.8%, a difference of 14.5%), and unemployment (4.9% compared to 5.3%, a difference of 8.8%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.53%), unemployment among youth under 25 years (11.2% compared to 11.3%, a difference of 0.81%), and unemployment among ages 16 to 19 years (16.8% compared to 17.0%, a difference of 0.95%).

When considering labor participation, the most significant differences between White/Caucasian and Immigrants from Thailand communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 38.7%, a difference of 6.6%), in labor force | age > 16 (63.6% compared to 65.7%, a difference of 3.4%), and in labor force | age 20-64 (78.5% compared to 79.4%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.9% compared to 81.9%, a difference of 0.090%), in labor force | age 35-44 (83.6% compared to 84.0%, a difference of 0.37%), and in labor force | age 25-29 (84.2% compared to 84.6%, a difference of 0.52%).

When considering family structure, the most significant differences between White/Caucasian and Immigrants from Thailand communities in the United States are seen in single mother households (6.1% compared to 6.9%, a difference of 12.3%), married-couple households (48.6% compared to 45.2%, a difference of 7.6%), and currently married (48.6% compared to 45.4%, a difference of 7.1%). Conversely, both communities are more comparable in terms of births to unmarried women (33.3% compared to 32.8%, a difference of 1.5%), family households (65.1% compared to 63.8%, a difference of 2.0%), and family households with children (27.4% compared to 28.2%, a difference of 2.9%).

When considering vehicle availability, the most significant differences between White/Caucasian and Immigrants from Thailand communities in the United States are seen in no vehicles in household (7.0% compared to 9.5%, a difference of 35.2%), 3 or more vehicles in household (22.6% compared to 20.5%, a difference of 10.1%), and 2 or more vehicles in household (60.8% compared to 56.6%, a difference of 7.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 90.6%, a difference of 2.8%), 4 or more vehicles in household (7.4% compared to 6.9%, a difference of 7.0%), and 2 or more vehicles in household (60.8% compared to 56.6%, a difference of 7.5%).

When considering education level, the most significant differences between White/Caucasian and Immigrants from Thailand communities in the United States are seen in no schooling completed (1.6% compared to 2.7%, a difference of 65.7%), professional degree (4.1% compared to 4.3%, a difference of 5.1%), and doctorate degree (1.8% compared to 1.8%, a difference of 4.6%). Conversely, both communities are more comparable in terms of college, under 1 year (64.0% compared to 64.7%, a difference of 1.0%), nursery school (98.5% compared to 97.3%, a difference of 1.1%), and kindergarten (98.4% compared to 97.3%, a difference of 1.1%).

When considering disability, the most significant differences between White/Caucasian and Immigrants from Thailand communities in the United States are seen in disability age under 5 (1.7% compared to 1.2%, a difference of 36.4%), hearing disability (3.7% compared to 3.1%, a difference of 18.5%), and disability age 18 to 34 (7.6% compared to 6.9%, a difference of 10.9%). Conversely, both communities are more comparable in terms of self-care disability (2.6% compared to 2.6%, a difference of 0.020%), disability age 65 to 74 (24.2% compared to 24.3%, a difference of 0.35%), and disability age over 75 (47.3% compared to 48.3%, a difference of 2.0%).