Immigrants from Guyana vs Immigrants from Thailand Community Comparison

The statistical analysis conducted on geographies consisting of 137,327,132 people shows a weak negative correlation between the proportion of Immigrants from Thailand within Immigrant from Guyana communities in the United States with a correlation coefficient (R) of -0.297. On average, for every 1% (one percent) increase in Immigrants from Guyana within a typical geography, there is a decrease of 0.003% in Immigrants from Thailand. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Guyana corresponds to a decrease of 3.0 Immigrants from Thailand.

When considering income, the most significant differences between Immigrants from Guyana and Immigrants from Thailand communities in the United States are seen in wage/income gap (18.4% compared to 24.5%, a difference of 33.7%), householder income under 25 years ($55,726 compared to $50,645, a difference of 10.0%), and householder income ages 45 - 64 years ($90,186 compared to $97,400, a difference of 8.0%). Conversely, both communities are more comparable in terms of median earnings ($45,204 compared to $45,598, a difference of 0.87%), householder income ages 25 - 44 years ($89,586 compared to $91,337, a difference of 1.9%), and median household income ($80,324 compared to $83,327, a difference of 3.7%).

When considering poverty, the most significant differences between Immigrants from Guyana and Immigrants from Thailand communities in the United States are seen in receiving food stamps (16.9% compared to 12.4%, a difference of 36.5%), seniors poverty over the age of 75 (16.2% compared to 12.2%, a difference of 33.3%), and seniors poverty over the age of 65 (14.5% compared to 11.0%, a difference of 31.5%). Conversely, both communities are more comparable in terms of single mother poverty (29.8% compared to 29.9%, a difference of 0.28%), female poverty among 25-34 year olds (14.3% compared to 14.3%, a difference of 0.51%), and single male poverty (12.7% compared to 13.0%, a difference of 1.9%).

When considering unemployment, the most significant differences between Immigrants from Guyana and Immigrants from Thailand communities in the United States are seen in unemployment among ages 16 to 19 years (25.5% compared to 17.0%, a difference of 50.1%), unemployment among ages 20 to 24 years (13.9% compared to 9.8%, a difference of 42.6%), and unemployment among youth under 25 years (15.9% compared to 11.3%, a difference of 41.2%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.8% compared to 8.8%, a difference of 0.60%), unemployment among women with children under 6 years (8.2% compared to 7.7%, a difference of 7.1%), and unemployment among women with children ages 6 to 17 years (8.9% compared to 8.3%, a difference of 7.3%).

When considering labor participation, the most significant differences between Immigrants from Guyana and Immigrants from Thailand communities in the United States are seen in in labor force | age 16-19 (27.3% compared to 38.7%, a difference of 42.1%), in labor force | age 20-24 (69.3% compared to 76.4%, a difference of 10.3%), and in labor force | age > 16 (64.0% compared to 65.7%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.6% compared to 84.0%, a difference of 0.39%), in labor force | age 45-54 (81.5% compared to 81.9%, a difference of 0.53%), and in labor force | age 30-34 (83.8% compared to 84.5%, a difference of 0.83%).

When considering family structure, the most significant differences between Immigrants from Guyana and Immigrants from Thailand communities in the United States are seen in single father households (2.1% compared to 2.5%, a difference of 18.4%), single mother households (7.6% compared to 6.9%, a difference of 10.2%), and married-couple households (41.6% compared to 45.2%, a difference of 8.7%). Conversely, both communities are more comparable in terms of family households (65.5% compared to 63.8%, a difference of 2.7%), average family size (3.40 compared to 3.27, a difference of 4.2%), and divorced or separated (11.6% compared to 12.1%, a difference of 4.4%).

When considering vehicle availability, the most significant differences between Immigrants from Guyana and Immigrants from Thailand communities in the United States are seen in no vehicles in household (29.5% compared to 9.5%, a difference of 210.0%), 4 or more vehicles in household (3.4% compared to 6.9%, a difference of 102.5%), and 3 or more vehicles in household (11.2% compared to 20.5%, a difference of 82.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (70.6% compared to 90.6%, a difference of 28.3%), 2 or more vehicles in household (35.0% compared to 56.6%, a difference of 61.7%), and 3 or more vehicles in household (11.2% compared to 20.5%, a difference of 82.4%).

When considering education level, the most significant differences between Immigrants from Guyana and Immigrants from Thailand communities in the United States are seen in doctorate degree (1.3% compared to 1.8%, a difference of 37.7%), professional degree (3.7% compared to 4.3%, a difference of 16.9%), and no schooling completed (3.1% compared to 2.7%, a difference of 15.5%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 97.3%, a difference of 0.46%), 3rd grade (96.6% compared to 97.1%, a difference of 0.47%), and kindergarten (96.8% compared to 97.3%, a difference of 0.48%).

When considering disability, the most significant differences between Immigrants from Guyana and Immigrants from Thailand communities in the United States are seen in hearing disability (2.3% compared to 3.1%, a difference of 34.1%), disability age 18 to 34 (5.5% compared to 6.9%, a difference of 25.7%), and disability age under 5 (1.0% compared to 1.2%, a difference of 16.4%). Conversely, both communities are more comparable in terms of vision disability (2.2% compared to 2.2%, a difference of 0.44%), female disability (12.2% compared to 12.4%, a difference of 1.4%), and disability age over 75 (47.1% compared to 48.3%, a difference of 2.5%).