Immigrants from Thailand vs Immigrants from Yemen Community Comparison

The statistical analysis conducted on geographies consisting of 71,820,259 people shows a poor positive correlation between the proportion of Immigrants from Yemen within Immigrant from Thailand communities in the United States with a correlation coefficient (R) of 0.145. On average, for every 1% (one percent) increase in Immigrants from Thailand within a typical geography, there is an increase of 0.046% in Immigrants from Yemen. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Thailand corresponds to an increase of 46.4 Immigrants from Yemen.

When considering income, the most significant differences between Immigrants from Thailand and Immigrants from Yemen communities in the United States are seen in householder income ages 45 - 64 years ($97,400 compared to $74,575, a difference of 30.6%), median family income ($99,840 compared to $77,457, a difference of 28.9%), and median household income ($83,327 compared to $65,194, a difference of 27.8%). Conversely, both communities are more comparable in terms of median female earnings ($38,810 compared to $34,693, a difference of 11.9%), median earnings ($45,598 compared to $39,540, a difference of 15.3%), and householder income under 25 years ($50,645 compared to $43,591, a difference of 16.2%).

When considering poverty, the most significant differences between Immigrants from Thailand and Immigrants from Yemen communities in the United States are seen in married-couple family poverty (5.5% compared to 12.8%, a difference of 133.0%), family poverty (9.7% compared to 17.5%, a difference of 80.7%), and receiving food stamps (12.4% compared to 21.6%, a difference of 74.7%). Conversely, both communities are more comparable in terms of single mother poverty (29.9% compared to 38.5%, a difference of 29.0%), single male poverty (13.0% compared to 16.9%, a difference of 30.0%), and single father poverty (15.8% compared to 20.6%, a difference of 30.2%).

When considering unemployment, the most significant differences between Immigrants from Thailand and Immigrants from Yemen communities in the United States are seen in unemployment among seniors over 75 years (8.8% compared to 16.5%, a difference of 87.5%), unemployment among women with children under 6 years (7.7% compared to 13.5%, a difference of 75.1%), and unemployment among seniors over 65 years (5.0% compared to 8.2%, a difference of 63.2%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.0% compared to 20.0%, a difference of 18.1%), unemployment among ages 25 to 29 years (6.6% compared to 8.0%, a difference of 21.7%), and unemployment among ages 30 to 34 years (5.4% compared to 7.3%, a difference of 33.8%).

When considering labor participation, the most significant differences between Immigrants from Thailand and Immigrants from Yemen communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 31.5%, a difference of 23.0%), in labor force | age 20-24 (76.4% compared to 68.9%, a difference of 10.9%), and in labor force | age > 16 (65.7% compared to 59.6%, a difference of 10.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.5% compared to 78.2%, a difference of 8.1%), in labor force | age 25-29 (84.6% compared to 78.2%, a difference of 8.2%), and in labor force | age 20-64 (79.4% compared to 72.3%, a difference of 9.8%).

When considering family structure, the most significant differences between Immigrants from Thailand and Immigrants from Yemen communities in the United States are seen in single father households (2.5% compared to 2.2%, a difference of 15.0%), average family size (3.27 compared to 3.60, a difference of 10.1%), and currently married (45.4% compared to 42.1%, a difference of 7.9%). Conversely, both communities are more comparable in terms of family households (63.8% compared to 63.0%, a difference of 1.3%), births to unmarried women (32.8% compared to 31.7%, a difference of 3.5%), and family households with children (28.2% compared to 29.4%, a difference of 4.2%).

When considering vehicle availability, the most significant differences between Immigrants from Thailand and Immigrants from Yemen communities in the United States are seen in no vehicles in household (9.5% compared to 19.5%, a difference of 104.7%), 4 or more vehicles in household (6.9% compared to 4.5%, a difference of 54.4%), and 3 or more vehicles in household (20.5% compared to 14.2%, a difference of 44.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 80.5%, a difference of 12.4%), 2 or more vehicles in household (56.6% compared to 42.8%, a difference of 32.1%), and 3 or more vehicles in household (20.5% compared to 14.2%, a difference of 44.0%).

When considering education level, the most significant differences between Immigrants from Thailand and Immigrants from Yemen communities in the United States are seen in no schooling completed (2.7% compared to 4.1%, a difference of 52.7%), doctorate degree (1.8% compared to 1.4%, a difference of 28.3%), and professional degree (4.3% compared to 3.4%, a difference of 25.7%). Conversely, both communities are more comparable in terms of nursery school (97.3% compared to 95.9%, a difference of 1.5%), kindergarten (97.3% compared to 95.9%, a difference of 1.5%), and 1st grade (97.3% compared to 95.8%, a difference of 1.5%).

When considering disability, the most significant differences between Immigrants from Thailand and Immigrants from Yemen communities in the United States are seen in disability age under 5 (1.2% compared to 0.91%, a difference of 34.1%), vision disability (2.2% compared to 2.6%, a difference of 18.2%), and self-care disability (2.6% compared to 3.0%, a difference of 17.1%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (6.9% compared to 7.0%, a difference of 1.1%), male disability (11.6% compared to 12.0%, a difference of 3.8%), and cognitive disability (17.9% compared to 18.8%, a difference of 5.2%).