Immigrants from Thailand vs Immigrants from Oceania Community Comparison

The statistical analysis conducted on geographies consisting of 230,950,756 people shows a strong positive correlation between the proportion of Immigrants from Oceania within Immigrant from Thailand communities in the United States with a correlation coefficient (R) of 0.711. On average, for every 1% (one percent) increase in Immigrants from Thailand within a typical geography, there is an increase of 0.714% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Thailand corresponds to an increase of 714.0 Immigrants from Oceania.

When considering income, the most significant differences between Immigrants from Thailand and Immigrants from Oceania communities in the United States are seen in householder income over 65 years ($60,217 compared to $64,416, a difference of 7.0%), per capita income ($42,289 compared to $45,220, a difference of 6.9%), and median household income ($83,327 compared to $89,100, a difference of 6.9%). Conversely, both communities are more comparable in terms of median female earnings ($38,810 compared to $40,297, a difference of 3.8%), median earnings ($45,598 compared to $47,617, a difference of 4.4%), and wage/income gap (24.5% compared to 25.6%, a difference of 4.5%).

When considering poverty, the most significant differences between Immigrants from Thailand and Immigrants from Oceania communities in the United States are seen in family poverty (9.7% compared to 8.7%, a difference of 10.6%), child poverty among girls under 16 (17.7% compared to 16.1%, a difference of 10.2%), and child poverty under the age of 16 (17.5% compared to 15.9%, a difference of 10.1%). Conversely, both communities are more comparable in terms of single father poverty (15.8% compared to 15.4%, a difference of 2.4%), single mother poverty (29.9% compared to 28.7%, a difference of 4.1%), and seniors poverty over the age of 75 (12.2% compared to 11.7%, a difference of 4.4%).

When considering unemployment, the most significant differences between Immigrants from Thailand and Immigrants from Oceania communities in the United States are seen in unemployment among ages 45 to 54 years (4.6% compared to 4.4%, a difference of 3.4%), unemployment among ages 25 to 29 years (6.6% compared to 6.4%, a difference of 3.2%), and unemployment among women with children under 6 years (7.7% compared to 7.5%, a difference of 3.0%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.8% compared to 4.8%, a difference of 0.030%), unemployment among seniors over 65 years (5.0% compared to 5.0%, a difference of 0.30%), and unemployment among ages 30 to 34 years (5.4% compared to 5.4%, a difference of 0.94%).

When considering labor participation, the most significant differences between Immigrants from Thailand and Immigrants from Oceania communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 37.9%, a difference of 2.2%), in labor force | age 30-34 (84.5% compared to 84.0%, a difference of 0.54%), and in labor force | age 25-29 (84.6% compared to 84.2%, a difference of 0.51%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.4% compared to 79.3%, a difference of 0.070%), in labor force | age 35-44 (84.0% compared to 83.9%, a difference of 0.10%), and in labor force | age 45-54 (81.9% compared to 82.1%, a difference of 0.20%).

When considering family structure, the most significant differences between Immigrants from Thailand and Immigrants from Oceania communities in the United States are seen in single mother households (6.9% compared to 6.3%, a difference of 9.2%), births to unmarried women (32.8% compared to 30.6%, a difference of 7.2%), and married-couple households (45.2% compared to 46.9%, a difference of 3.9%). Conversely, both communities are more comparable in terms of family households with children (28.2% compared to 28.1%, a difference of 0.46%), average family size (3.27 compared to 3.29, a difference of 0.75%), and family households (63.8% compared to 64.9%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Immigrants from Thailand and Immigrants from Oceania communities in the United States are seen in 4 or more vehicles in household (6.9% compared to 7.6%, a difference of 10.8%), 3 or more vehicles in household (20.5% compared to 21.8%, a difference of 6.4%), and no vehicles in household (9.5% compared to 9.7%, a difference of 2.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 90.4%, a difference of 0.22%), 2 or more vehicles in household (56.6% compared to 57.5%, a difference of 1.7%), and no vehicles in household (9.5% compared to 9.7%, a difference of 2.3%).

When considering education level, the most significant differences between Immigrants from Thailand and Immigrants from Oceania communities in the United States are seen in no schooling completed (2.7% compared to 2.2%, a difference of 20.4%), professional degree (4.3% compared to 4.6%, a difference of 6.7%), and doctorate degree (1.8% compared to 1.9%, a difference of 3.9%). Conversely, both communities are more comparable in terms of nursery school (97.3% compared to 97.8%, a difference of 0.50%), kindergarten (97.3% compared to 97.8%, a difference of 0.50%), and 1st grade (97.3% compared to 97.8%, a difference of 0.50%).

When considering disability, the most significant differences between Immigrants from Thailand and Immigrants from Oceania communities in the United States are seen in disability age 35 to 64 (12.0% compared to 11.4%, a difference of 5.9%), disability age under 5 (1.2% compared to 1.2%, a difference of 4.8%), and disability age 5 to 17 (5.7% compared to 5.4%, a difference of 4.0%). Conversely, both communities are more comparable in terms of disability age over 75 (48.3% compared to 48.0%, a difference of 0.56%), ambulatory disability (6.1% compared to 6.1%, a difference of 1.0%), and male disability (11.6% compared to 11.4%, a difference of 1.4%).