Immigrants from Thailand vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 308,832,126 people shows no correlation between the proportion of Indians (Asian) within Immigrant from Thailand communities in the United States with a correlation coefficient (R) of 0.021. On average, for every 1% (one percent) increase in Immigrants from Thailand within a typical geography, there is an increase of 0.019% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Thailand corresponds to an increase of 19.0 Indians (Asian).

When considering income, the most significant differences between Immigrants from Thailand and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($91,337 compared to $119,496, a difference of 30.8%), per capita income ($42,289 compared to $53,874, a difference of 27.4%), and median household income ($83,327 compared to $105,262, a difference of 26.3%). Conversely, both communities are more comparable in terms of wage/income gap (24.5% compared to 26.4%, a difference of 7.8%), householder income under 25 years ($50,645 compared to $58,239, a difference of 15.0%), and householder income over 65 years ($60,217 compared to $70,238, a difference of 16.6%).

When considering poverty, the most significant differences between Immigrants from Thailand and Indian (Asian) communities in the United States are seen in child poverty under the age of 5 (18.3% compared to 13.4%, a difference of 36.0%), child poverty among girls under 16 (17.7% compared to 13.3%, a difference of 33.2%), and child poverty under the age of 16 (17.5% compared to 13.1%, a difference of 33.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.0% compared to 11.1%, a difference of 0.86%), seniors poverty over the age of 75 (12.2% compared to 12.7%, a difference of 4.7%), and female poverty among 18-24 year olds (20.9% compared to 19.6%, a difference of 6.7%).

When considering unemployment, the most significant differences between Immigrants from Thailand and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 6.3%, a difference of 22.3%), unemployment among women with children under 18 years (5.4% compared to 4.9%, a difference of 10.5%), and unemployment among seniors over 75 years (8.8% compared to 8.0%, a difference of 10.4%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.6% compared to 4.5%, a difference of 1.7%), female unemployment (5.2% compared to 5.1%, a difference of 1.8%), and unemployment among ages 16 to 19 years (17.0% compared to 17.3%, a difference of 2.0%).

When considering labor participation, the most significant differences between Immigrants from Thailand and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 31.9%, a difference of 21.6%), in labor force | age 20-24 (76.4% compared to 71.9%, a difference of 6.3%), and in labor force | age 45-54 (81.9% compared to 83.3%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 84.7%, a difference of 0.12%), in labor force | age > 16 (65.7% compared to 65.5%, a difference of 0.34%), and in labor force | age 20-64 (79.4% compared to 79.9%, a difference of 0.62%).

When considering family structure, the most significant differences between Immigrants from Thailand and Indian (Asian) communities in the United States are seen in single mother households (6.9% compared to 5.1%, a difference of 34.3%), single father households (2.5% compared to 1.9%, a difference of 31.6%), and births to unmarried women (32.8% compared to 25.3%, a difference of 29.7%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.24, a difference of 0.73%), family households (63.8% compared to 65.1%, a difference of 2.1%), and family households with children (28.2% compared to 27.6%, a difference of 2.4%).

When considering vehicle availability, the most significant differences between Immigrants from Thailand and Indian (Asian) communities in the United States are seen in no vehicles in household (9.5% compared to 14.1%, a difference of 47.8%), 3 or more vehicles in household (20.5% compared to 19.1%, a difference of 7.2%), and 4 or more vehicles in household (6.9% compared to 6.4%, a difference of 7.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 86.0%, a difference of 5.2%), 2 or more vehicles in household (56.6% compared to 53.1%, a difference of 6.6%), and 4 or more vehicles in household (6.9% compared to 6.4%, a difference of 7.0%).

When considering education level, the most significant differences between Immigrants from Thailand and Indian (Asian) communities in the United States are seen in doctorate degree (1.8% compared to 2.9%, a difference of 58.4%), professional degree (4.3% compared to 6.5%, a difference of 52.3%), and master's degree (14.2% compared to 20.5%, a difference of 44.4%). Conversely, both communities are more comparable in terms of 1st grade (97.3% compared to 97.5%, a difference of 0.26%), 2nd grade (97.2% compared to 97.5%, a difference of 0.27%), and kindergarten (97.3% compared to 97.6%, a difference of 0.30%).

When considering disability, the most significant differences between Immigrants from Thailand and Indian (Asian) communities in the United States are seen in disability age 35 to 64 (12.0% compared to 8.9%, a difference of 36.0%), disability age 18 to 34 (6.9% compared to 5.5%, a difference of 24.1%), and disability age 5 to 17 (5.7% compared to 4.6%, a difference of 23.9%). Conversely, both communities are more comparable in terms of disability age over 75 (48.3% compared to 46.5%, a difference of 3.8%), cognitive disability (17.9% compared to 16.8%, a difference of 6.1%), and self-care disability (2.6% compared to 2.3%, a difference of 9.3%).