Immigrants from Thailand vs Indonesian Community Comparison

The statistical analysis conducted on geographies consisting of 142,137,552 people shows a very strong positive correlation between the proportion of Indonesians within Immigrant from Thailand communities in the United States with a correlation coefficient (R) of 0.876. On average, for every 1% (one percent) increase in Immigrants from Thailand within a typical geography, there is an increase of 1.446% in Indonesians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Thailand corresponds to an increase of 1,446.4 Indonesians.

When considering income, the most significant differences between Immigrants from Thailand and Indonesian communities in the United States are seen in householder income ages 25 - 44 years ($91,337 compared to $79,543, a difference of 14.8%), householder income ages 45 - 64 years ($97,400 compared to $84,890, a difference of 14.7%), and median household income ($83,327 compared to $72,856, a difference of 14.4%). Conversely, both communities are more comparable in terms of median female earnings ($38,810 compared to $36,140, a difference of 7.4%), wage/income gap (24.5% compared to 22.7%, a difference of 8.0%), and median earnings ($45,598 compared to $41,701, a difference of 9.3%).

When considering poverty, the most significant differences between Immigrants from Thailand and Indonesian communities in the United States are seen in child poverty under the age of 5 (18.3% compared to 22.3%, a difference of 21.7%), child poverty among girls under 16 (17.7% compared to 21.3%, a difference of 19.9%), and child poverty under the age of 16 (17.5% compared to 21.0%, a difference of 19.8%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.2% compared to 12.1%, a difference of 0.89%), seniors poverty over the age of 65 (11.0% compared to 11.5%, a difference of 4.2%), and female poverty among 18-24 year olds (20.9% compared to 22.5%, a difference of 7.5%).

When considering unemployment, the most significant differences between Immigrants from Thailand and Indonesian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.3% compared to 7.4%, a difference of 12.2%), unemployment among ages 60 to 64 years (4.7% compared to 4.2%, a difference of 12.0%), and unemployment among seniors over 75 years (8.8% compared to 7.9%, a difference of 11.1%). 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 0.14%), unemployment among women with children under 18 years (5.4% compared to 5.5%, a difference of 1.4%), and unemployment among ages 35 to 44 years (4.8% compared to 4.7%, a difference of 2.3%).

When considering labor participation, the most significant differences between Immigrants from Thailand and Indonesian communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 40.7%, a difference of 5.1%), in labor force | age 20-24 (76.4% compared to 77.2%, a difference of 1.1%), and in labor force | age > 16 (65.7% compared to 66.3%, a difference of 0.87%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.4% compared to 79.4%, a difference of 0.010%), in labor force | age 25-29 (84.6% compared to 84.7%, a difference of 0.080%), and in labor force | age 30-34 (84.5% compared to 84.3%, a difference of 0.16%).

When considering family structure, the most significant differences between Immigrants from Thailand and Indonesian communities in the United States are seen in single mother households (6.9% compared to 7.5%, a difference of 9.1%), married-couple households (45.2% compared to 42.0%, a difference of 7.5%), and births to unmarried women (32.8% compared to 35.0%, a difference of 6.8%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.28, a difference of 0.27%), family households with children (28.2% compared to 28.1%, a difference of 0.44%), and single father households (2.5% compared to 2.6%, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Immigrants from Thailand and Indonesian communities in the United States are seen in 4 or more vehicles in household (6.9% compared to 6.0%, a difference of 15.6%), 3 or more vehicles in household (20.5% compared to 18.3%, a difference of 12.2%), and no vehicles in household (9.5% compared to 10.3%, a difference of 8.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 89.7%, a difference of 0.92%), 2 or more vehicles in household (56.6% compared to 53.4%, a difference of 6.0%), and no vehicles in household (9.5% compared to 10.3%, a difference of 8.4%).

When considering education level, the most significant differences between Immigrants from Thailand and Indonesian communities in the United States are seen in no schooling completed (2.7% compared to 3.2%, a difference of 18.8%), professional degree (4.3% compared to 3.7%, a difference of 16.7%), and doctorate degree (1.8% compared to 1.6%, a difference of 14.8%). Conversely, both communities are more comparable in terms of 2nd grade (97.2% compared to 96.7%, a difference of 0.49%), nursery school (97.3% compared to 96.8%, a difference of 0.54%), and kindergarten (97.3% compared to 96.8%, a difference of 0.55%).

When considering disability, the most significant differences between Immigrants from Thailand and Indonesian communities in the United States are seen in disability age 35 to 64 (12.0% compared to 13.2%, a difference of 9.9%), disability age under 5 (1.2% compared to 1.2%, a difference of 5.7%), and disability age 18 to 34 (6.9% compared to 7.2%, a difference of 5.0%). Conversely, both communities are more comparable in terms of disability age over 75 (48.3% compared to 48.2%, a difference of 0.24%), male disability (11.6% compared to 11.6%, a difference of 0.51%), and vision disability (2.2% compared to 2.2%, a difference of 1.4%).