Immigrants from Thailand vs Immigrants from Nigeria Community Comparison

The statistical analysis conducted on geographies consisting of 210,798,823 people shows a poor negative correlation between the proportion of Immigrants from Nigeria within Immigrant from Thailand communities in the United States with a correlation coefficient (R) of -0.112. On average, for every 1% (one percent) increase in Immigrants from Thailand within a typical geography, there is a decrease of 0.018% in Immigrants from Nigeria. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Thailand corresponds to a decrease of 18.5 Immigrants from Nigeria.

When considering income, the most significant differences between Immigrants from Thailand and Immigrants from Nigeria communities in the United States are seen in wage/income gap (24.5% compared to 22.7%, a difference of 8.0%), householder income ages 25 - 44 years ($91,337 compared to $86,589, a difference of 5.5%), and per capita income ($42,289 compared to $40,339, a difference of 4.8%). Conversely, both communities are more comparable in terms of median female earnings ($38,810 compared to $39,294, a difference of 1.3%), median earnings ($45,598 compared to $45,030, a difference of 1.3%), and householder income over 65 years ($60,217 compared to $58,942, a difference of 2.2%).

When considering poverty, the most significant differences between Immigrants from Thailand and Immigrants from Nigeria communities in the United States are seen in seniors poverty over the age of 75 (12.2% compared to 13.0%, a difference of 7.1%), seniors poverty over the age of 65 (11.0% compared to 11.7%, a difference of 6.8%), and receiving food stamps (12.4% compared to 13.1%, a difference of 5.9%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (14.3% compared to 14.3%, a difference of 0.36%), single father poverty (15.8% compared to 15.9%, a difference of 0.44%), and married-couple family poverty (5.5% compared to 5.5%, a difference of 0.70%).

When considering unemployment, the most significant differences between Immigrants from Thailand and Immigrants from Nigeria communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.3% compared to 10.2%, a difference of 22.7%), unemployment among ages 20 to 24 years (9.8% compared to 11.5%, a difference of 17.6%), and unemployment among youth under 25 years (11.3% compared to 13.0%, a difference of 15.5%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.6% compared to 4.6%, a difference of 1.4%), unemployment among women with children under 6 years (7.7% compared to 7.9%, a difference of 2.8%), and unemployment among ages 60 to 64 years (4.7% compared to 4.9%, a difference of 3.2%).

When considering labor participation, the most significant differences between Immigrants from Thailand and Immigrants from Nigeria communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 35.8%, a difference of 8.1%), in labor force | age 20-24 (76.4% compared to 74.7%, a difference of 2.2%), and in labor force | age > 16 (65.7% compared to 66.9%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.5% compared to 84.6%, a difference of 0.20%), in labor force | age 25-29 (84.6% compared to 84.3%, a difference of 0.39%), and in labor force | age 20-64 (79.4% compared to 79.9%, a difference of 0.60%).

When considering family structure, the most significant differences between Immigrants from Thailand and Immigrants from Nigeria communities in the United States are seen in single mother households (6.9% compared to 7.8%, a difference of 14.3%), births to unmarried women (32.8% compared to 35.4%, a difference of 8.1%), and married-couple households (45.2% compared to 43.2%, a difference of 4.5%). Conversely, both communities are more comparable in terms of divorced or separated (12.1% compared to 12.1%, a difference of 0.30%), family households (63.8% compared to 64.4%, a difference of 0.90%), and family households with children (28.2% compared to 28.6%, a difference of 1.3%).

When considering vehicle availability, the most significant differences between Immigrants from Thailand and Immigrants from Nigeria communities in the United States are seen in no vehicles in household (9.5% compared to 11.8%, a difference of 23.9%), 4 or more vehicles in household (6.9% compared to 6.1%, a difference of 13.7%), and 3 or more vehicles in household (20.5% compared to 18.7%, a difference of 9.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 88.2%, a difference of 2.6%), 2 or more vehicles in household (56.6% compared to 52.9%, a difference of 6.9%), and 3 or more vehicles in household (20.5% compared to 18.7%, a difference of 9.6%).

When considering education level, the most significant differences between Immigrants from Thailand and Immigrants from Nigeria communities in the United States are seen in no schooling completed (2.7% compared to 2.5%, a difference of 7.5%), professional degree (4.3% compared to 4.1%, a difference of 4.9%), and doctorate degree (1.8% compared to 1.8%, a difference of 4.7%). Conversely, both communities are more comparable in terms of 9th grade (93.9% compared to 94.0%, a difference of 0.030%), 10th grade (92.8% compared to 92.7%, a difference of 0.080%), and 8th grade (94.8% compared to 94.9%, a difference of 0.10%).

When considering disability, the most significant differences between Immigrants from Thailand and Immigrants from Nigeria communities in the United States are seen in hearing disability (3.1% compared to 2.6%, a difference of 21.3%), male disability (11.6% compared to 10.8%, a difference of 7.7%), and self-care disability (2.6% compared to 2.4%, a difference of 6.5%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.7% compared to 5.7%, a difference of 0.43%), vision disability (2.2% compared to 2.2%, a difference of 0.74%), and cognitive disability (17.9% compared to 18.0%, a difference of 0.97%).