Immigrants from Thailand vs Immigrants from Africa Community Comparison

The statistical analysis conducted on geographies consisting of 301,800,327 people shows a poor positive correlation between the proportion of Immigrants from Africa within Immigrant from Thailand communities in the United States with a correlation coefficient (R) of 0.168. On average, for every 1% (one percent) increase in Immigrants from Thailand within a typical geography, there is an increase of 0.074% in Immigrants from Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Thailand corresponds to an increase of 74.5 Immigrants from Africa.

When considering income, the most significant differences between Immigrants from Thailand and Immigrants from Africa communities in the United States are seen in wage/income gap (24.5% compared to 23.2%, a difference of 5.9%), median female earnings ($38,810 compared to $40,257, a difference of 3.7%), and median earnings ($45,598 compared to $46,564, a difference of 2.1%). Conversely, both communities are more comparable in terms of median household income ($83,327 compared to $83,289, a difference of 0.050%), householder income under 25 years ($50,645 compared to $50,609, a difference of 0.070%), and householder income ages 45 - 64 years ($97,400 compared to $97,284, a difference of 0.12%).

When considering poverty, the most significant differences between Immigrants from Thailand and Immigrants from Africa communities in the United States are seen in seniors poverty over the age of 75 (12.2% compared to 12.9%, a difference of 5.8%), seniors poverty over the age of 65 (11.0% compared to 11.6%, a difference of 5.3%), and child poverty among boys under 16 (17.5% compared to 18.1%, a difference of 3.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.9% compared to 21.0%, a difference of 0.17%), single father poverty (15.8% compared to 15.8%, a difference of 0.32%), and male poverty (12.2% compared to 12.2%, a difference of 0.34%).

When considering unemployment, the most significant differences between Immigrants from Thailand and Immigrants from Africa communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.3% compared to 9.4%, a difference of 12.9%), unemployment among ages 20 to 24 years (9.8% compared to 10.6%, a difference of 8.8%), and unemployment among youth under 25 years (11.3% compared to 12.1%, a difference of 7.5%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.7% compared to 7.7%, a difference of 0.44%), unemployment among ages 60 to 64 years (4.7% compared to 4.8%, a difference of 0.75%), and unemployment among ages 55 to 59 years (4.7% compared to 4.8%, a difference of 1.2%).

When considering labor participation, the most significant differences between Immigrants from Thailand and Immigrants from Africa communities in the United States are seen in in labor force | age > 16 (65.7% compared to 67.4%, a difference of 2.5%), in labor force | age 16-19 (38.7% compared to 38.0%, a difference of 1.8%), and in labor force | age 45-54 (81.9% compared to 83.2%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 85.2%, a difference of 0.66%), in labor force | age 20-24 (76.4% compared to 75.8%, a difference of 0.76%), and in labor force | age 30-34 (84.5% compared to 85.3%, a difference of 1.0%).

When considering family structure, the most significant differences between Immigrants from Thailand and Immigrants from Africa communities in the United States are seen in single mother households (6.9% compared to 7.3%, a difference of 6.2%), single father households (2.5% compared to 2.4%, a difference of 5.7%), and married-couple households (45.2% compared to 42.9%, a difference of 5.3%). Conversely, both communities are more comparable in terms of divorced or separated (12.1% compared to 12.1%, a difference of 0.090%), average family size (3.27 compared to 3.25, a difference of 0.62%), and births to unmarried women (32.8% compared to 33.0%, a difference of 0.76%).

When considering vehicle availability, the most significant differences between Immigrants from Thailand and Immigrants from Africa communities in the United States are seen in no vehicles in household (9.5% compared to 12.5%, a difference of 31.6%), 4 or more vehicles in household (6.9% compared to 5.6%, a difference of 23.3%), and 3 or more vehicles in household (20.5% compared to 17.6%, a difference of 16.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 87.6%, a difference of 3.4%), 2 or more vehicles in household (56.6% compared to 51.8%, a difference of 9.3%), and 3 or more vehicles in household (20.5% compared to 17.6%, a difference of 16.8%).

When considering education level, the most significant differences between Immigrants from Thailand and Immigrants from Africa communities in the United States are seen in no schooling completed (2.7% compared to 2.4%, a difference of 12.3%), master's degree (14.2% compared to 15.7%, a difference of 10.9%), and doctorate degree (1.8% compared to 2.0%, a difference of 7.0%). Conversely, both communities are more comparable in terms of nursery school (97.3% compared to 97.6%, a difference of 0.29%), kindergarten (97.3% compared to 97.6%, a difference of 0.29%), and 1st grade (97.3% compared to 97.6%, a difference of 0.29%).

When considering disability, the most significant differences between Immigrants from Thailand and Immigrants from Africa communities in the United States are seen in hearing disability (3.1% compared to 2.7%, a difference of 14.2%), self-care disability (2.6% compared to 2.4%, a difference of 7.1%), and male disability (11.6% compared to 10.9%, a difference of 6.5%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.2%, a difference of 0.45%), cognitive disability (17.9% compared to 18.1%, a difference of 1.5%), and disability age 5 to 17 (5.7% compared to 5.7%, a difference of 1.6%).