South American Indian vs Immigrants from Thailand Community Comparison

The statistical analysis conducted on geographies consisting of 135,460,228 people shows a strong positive correlation between the proportion of Immigrants from Thailand within South American Indian communities in the United States with a correlation coefficient (R) of 0.761. On average, for every 1% (one percent) increase in South American Indians within a typical geography, there is an increase of 0.054% in Immigrants from Thailand. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 South American Indians corresponds to an increase of 54.1 Immigrants from Thailand.

When considering income, the most significant differences between South American Indian and Immigrants from Thailand communities in the United States are seen in householder income ages 25 - 44 years ($96,497 compared to $91,337, a difference of 5.7%), median household income ($87,446 compared to $83,327, a difference of 4.9%), and householder income under 25 years ($52,979 compared to $50,645, a difference of 4.6%). Conversely, both communities are more comparable in terms of wage/income gap (24.7% compared to 24.5%, a difference of 0.84%), median earnings ($46,952 compared to $45,598, a difference of 3.0%), and median male earnings ($54,508 compared to $52,908, a difference of 3.0%).

When considering poverty, the most significant differences between South American Indian and Immigrants from Thailand communities in the United States are seen in single male poverty (12.1% compared to 13.0%, a difference of 7.0%), child poverty under the age of 16 (16.4% compared to 17.5%, a difference of 6.9%), and single female poverty (20.6% compared to 22.0%, a difference of 6.5%). Conversely, both communities are more comparable in terms of single father poverty (15.7% compared to 15.8%, a difference of 0.63%), single mother poverty (29.3% compared to 29.9%, a difference of 2.1%), and married-couple family poverty (5.3% compared to 5.5%, a difference of 3.1%).

When considering unemployment, the most significant differences between South American Indian and Immigrants from Thailand communities in the United States are seen in unemployment among ages 20 to 24 years (10.8% compared to 9.8%, a difference of 10.7%), unemployment among women with children ages 6 to 17 years (9.0% compared to 8.3%, a difference of 8.7%), and unemployment among seniors over 75 years (8.2% compared to 8.8%, a difference of 7.2%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.56%), male unemployment (5.5% compared to 5.4%, a difference of 1.1%), and unemployment among ages 35 to 44 years (4.7% compared to 4.8%, a difference of 1.5%).

When considering labor participation, the most significant differences between South American Indian and Immigrants from Thailand communities in the United States are seen in in labor force | age 16-19 (35.8% compared to 38.7%, a difference of 8.4%), in labor force | age 20-24 (75.3% compared to 76.4%, a difference of 1.5%), and in labor force | age 45-54 (82.9% compared to 81.9%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 84.6%, a difference of 0.17%), in labor force | age 30-34 (84.7% compared to 84.5%, a difference of 0.27%), and in labor force | age > 16 (66.0% compared to 65.7%, a difference of 0.47%).

When considering family structure, the most significant differences between South American Indian and Immigrants from Thailand communities in the United States are seen in single father households (2.3% compared to 2.5%, a difference of 11.5%), single mother households (6.4% compared to 6.9%, a difference of 6.7%), and births to unmarried women (31.7% compared to 32.8%, a difference of 3.2%). Conversely, both communities are more comparable in terms of average family size (3.26 compared to 3.27, a difference of 0.11%), currently married (45.8% compared to 45.4%, a difference of 0.83%), and family households with children (28.0% compared to 28.2%, a difference of 0.98%).

When considering vehicle availability, the most significant differences between South American Indian and Immigrants from Thailand communities in the United States are seen in no vehicles in household (12.1% compared to 9.5%, a difference of 26.8%), 4 or more vehicles in household (6.3% compared to 6.9%, a difference of 9.8%), and 3 or more vehicles in household (19.1% compared to 20.5%, a difference of 7.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.0% compared to 90.6%, a difference of 2.9%), 2 or more vehicles in household (53.9% compared to 56.6%, a difference of 5.1%), and 3 or more vehicles in household (19.1% compared to 20.5%, a difference of 7.3%).

When considering education level, the most significant differences between South American Indian and Immigrants from Thailand communities in the United States are seen in no schooling completed (2.2% compared to 2.7%, a difference of 20.7%), master's degree (15.9% compared to 14.2%, a difference of 12.2%), and professional degree (4.8% compared to 4.3%, a difference of 11.0%). Conversely, both communities are more comparable in terms of 9th grade (94.3% compared to 93.9%, a difference of 0.33%), 8th grade (95.1% compared to 94.8%, a difference of 0.35%), and 10th grade (93.1% compared to 92.8%, a difference of 0.37%).

When considering disability, the most significant differences between South American Indian and Immigrants from Thailand communities in the United States are seen in disability age 35 to 64 (10.9% compared to 12.0%, a difference of 10.4%), disability age under 5 (1.3% compared to 1.2%, a difference of 9.7%), and hearing disability (2.9% compared to 3.1%, a difference of 8.6%). Conversely, both communities are more comparable in terms of cognitive disability (17.5% compared to 17.9%, a difference of 2.1%), disability age over 75 (47.1% compared to 48.3%, a difference of 2.4%), and vision disability (2.2% compared to 2.2%, a difference of 2.6%).