Immigrants from Thailand vs Immigrants from Grenada Community Comparison

The statistical analysis conducted on geographies consisting of 55,052,847 people shows a moderate negative correlation between the proportion of Immigrants from Grenada within Immigrant from Thailand communities in the United States with a correlation coefficient (R) of -0.429. On average, for every 1% (one percent) increase in Immigrants from Thailand within a typical geography, there is a decrease of 0.017% in Immigrants from Grenada. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Thailand corresponds to a decrease of 16.8 Immigrants from Grenada.

When considering income, the most significant differences between Immigrants from Thailand and Immigrants from Grenada communities in the United States are seen in wage/income gap (24.5% compared to 16.2%, a difference of 51.7%), householder income over 65 years ($60,217 compared to $50,747, a difference of 18.7%), and householder income ages 45 - 64 years ($97,400 compared to $85,552, a difference of 13.9%). Conversely, both communities are more comparable in terms of median earnings ($45,598 compared to $45,596, a difference of 0.0%), per capita income ($42,289 compared to $41,123, a difference of 2.8%), and householder income ages 25 - 44 years ($91,337 compared to $88,311, a difference of 3.4%).

When considering poverty, the most significant differences between Immigrants from Thailand and Immigrants from Grenada communities in the United States are seen in seniors poverty over the age of 75 (12.2% compared to 17.8%, a difference of 46.7%), seniors poverty over the age of 65 (11.0% compared to 15.8%, a difference of 43.8%), and receiving food stamps (12.4% compared to 17.8%, a difference of 43.5%). Conversely, both communities are more comparable in terms of single male poverty (13.0% compared to 13.0%, a difference of 0.24%), single female poverty (22.0% compared to 21.8%, a difference of 0.76%), and female poverty among 18-24 year olds (20.9% compared to 21.2%, a difference of 1.3%).

When considering unemployment, the most significant differences between Immigrants from Thailand and Immigrants from Grenada communities in the United States are seen in unemployment among ages 16 to 19 years (17.0% compared to 25.7%, a difference of 51.6%), unemployment among ages 20 to 24 years (9.8% compared to 13.8%, a difference of 41.8%), and unemployment among youth under 25 years (11.3% compared to 15.8%, a difference of 40.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.7% compared to 7.6%, a difference of 1.4%), unemployment among women with children ages 6 to 17 years (8.3% compared to 8.6%, a difference of 4.1%), and unemployment among seniors over 65 years (5.0% compared to 5.4%, a difference of 7.5%).

When considering labor participation, the most significant differences between Immigrants from Thailand and Immigrants from Grenada communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 25.4%, a difference of 52.6%), in labor force | age 20-24 (76.4% compared to 67.2%, a difference of 13.8%), and in labor force | age > 16 (65.7% compared to 63.6%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.0% compared to 83.3%, a difference of 0.73%), in labor force | age 45-54 (81.9% compared to 81.0%, a difference of 1.1%), and in labor force | age 30-34 (84.5% compared to 83.5%, a difference of 1.2%).

When considering family structure, the most significant differences between Immigrants from Thailand and Immigrants from Grenada communities in the United States are seen in single father households (2.5% compared to 2.0%, a difference of 25.2%), married-couple households (45.2% compared to 37.5%, a difference of 20.4%), and single mother households (6.9% compared to 8.2%, a difference of 18.9%). Conversely, both communities are more comparable in terms of divorced or separated (12.1% compared to 11.9%, a difference of 1.8%), family households (63.8% compared to 62.6%, a difference of 1.9%), and average family size (3.27 compared to 3.34, a difference of 2.3%).

When considering vehicle availability, the most significant differences between Immigrants from Thailand and Immigrants from Grenada communities in the United States are seen in no vehicles in household (9.5% compared to 37.5%, a difference of 293.8%), 4 or more vehicles in household (6.9% compared to 2.7%, a difference of 151.5%), and 3 or more vehicles in household (20.5% compared to 9.1%, a difference of 125.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 62.7%, a difference of 44.5%), 2 or more vehicles in household (56.6% compared to 28.7%, a difference of 97.5%), and 3 or more vehicles in household (20.5% compared to 9.1%, a difference of 125.6%).

When considering education level, the most significant differences between Immigrants from Thailand and Immigrants from Grenada communities in the United States are seen in doctorate degree (1.8% compared to 1.4%, a difference of 34.1%), professional degree (4.3% compared to 3.7%, a difference of 14.5%), and college, under 1 year (64.7% compared to 59.1%, a difference of 9.5%). Conversely, both communities are more comparable in terms of nursery school (97.3% compared to 97.3%, a difference of 0.080%), 3rd grade (97.1% compared to 97.0%, a difference of 0.080%), and kindergarten (97.3% compared to 97.2%, a difference of 0.10%).

When considering disability, the most significant differences between Immigrants from Thailand and Immigrants from Grenada communities in the United States are seen in hearing disability (3.1% compared to 2.2%, a difference of 41.9%), disability age 18 to 34 (6.9% compared to 5.3%, a difference of 29.2%), and disability age under 5 (1.2% compared to 0.94%, a difference of 28.9%). Conversely, both communities are more comparable in terms of cognitive disability (17.9% compared to 17.9%, a difference of 0.15%), vision disability (2.2% compared to 2.2%, a difference of 0.27%), and female disability (12.4% compared to 12.4%, a difference of 0.39%).