Thai vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 347,385,959 people shows a weak positive correlation between the proportion of Peruvians within Thai communities in the United States with a correlation coefficient (R) of 0.218. On average, for every 1% (one percent) increase in Thais within a typical geography, there is an increase of 0.007% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Thais corresponds to an increase of 7.0 Peruvians.

When considering income, the most significant differences between Thai and Peruvian communities in the United States are seen in median male earnings ($72,135 compared to $55,659, a difference of 29.6%), median family income ($131,281 compared to $105,444, a difference of 24.5%), and median earnings ($59,237 compared to $47,628, a difference of 24.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($59,187 compared to $56,052, a difference of 5.6%), householder income over 65 years ($72,099 compared to $62,766, a difference of 14.9%), and median female earnings ($47,577 compared to $40,234, a difference of 18.2%).

When considering poverty, the most significant differences between Thai and Peruvian communities in the United States are seen in receiving food stamps (8.1% compared to 11.7%, a difference of 44.8%), married-couple family poverty (3.9% compared to 5.3%, a difference of 35.1%), and child poverty among boys under 16 (11.7% compared to 15.5%, a difference of 32.9%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (17.0% compared to 17.2%, a difference of 1.4%), single father poverty (14.5% compared to 15.4%, a difference of 6.2%), and single male poverty (10.8% compared to 11.8%, a difference of 9.5%).

When considering unemployment, the most significant differences between Thai and Peruvian communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.5%, a difference of 18.9%), unemployment among ages 35 to 44 years (3.9% compared to 4.7%, a difference of 18.6%), and unemployment among women with children ages 6 to 17 years (7.8% compared to 9.2%, a difference of 17.5%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.5%, a difference of 4.5%), unemployment among ages 65 to 74 years (5.2% compared to 5.5%, a difference of 7.0%), and unemployment among youth under 25 years (11.0% compared to 11.8%, a difference of 7.3%).

When considering labor participation, the most significant differences between Thai and Peruvian communities in the United States are seen in in labor force | age > 16 (67.2% compared to 66.3%, a difference of 1.4%), in labor force | age 45-54 (84.3% compared to 83.6%, a difference of 0.92%), and in labor force | age 25-29 (85.5% compared to 84.7%, a difference of 0.85%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (34.6% compared to 34.6%, a difference of 0.12%), in labor force | age 35-44 (85.2% compared to 84.9%, a difference of 0.27%), and in labor force | age 30-34 (85.2% compared to 84.8%, a difference of 0.51%).

When considering family structure, the most significant differences between Thai and Peruvian communities in the United States are seen in births to unmarried women (24.0% compared to 31.5%, a difference of 31.1%), single mother households (5.2% compared to 6.5%, a difference of 25.0%), and single father households (1.9% compared to 2.4%, a difference of 23.7%). Conversely, both communities are more comparable in terms of family households (67.2% compared to 67.1%, a difference of 0.060%), average family size (3.22 compared to 3.30, a difference of 2.4%), and family households with children (30.6% compared to 29.0%, a difference of 5.7%).

When considering vehicle availability, the most significant differences between Thai and Peruvian communities in the United States are seen in no vehicles in household (8.2% compared to 11.2%, a difference of 37.4%), 2 or more vehicles in household (57.9% compared to 55.0%, a difference of 5.4%), and 4 or more vehicles in household (6.2% compared to 6.5%, a difference of 3.5%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.8% compared to 19.6%, a difference of 1.0%), 1 or more vehicles in household (91.9% compared to 88.8%, a difference of 3.4%), and 4 or more vehicles in household (6.2% compared to 6.5%, a difference of 3.5%).

When considering education level, the most significant differences between Thai and Peruvian communities in the United States are seen in doctorate degree (2.8% compared to 1.8%, a difference of 54.0%), master's degree (21.7% compared to 15.3%, a difference of 42.0%), and professional degree (6.1% compared to 4.5%, a difference of 36.3%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 97.6%, a difference of 0.57%), kindergarten (98.2% compared to 97.6%, a difference of 0.58%), and 1st grade (98.1% compared to 97.6%, a difference of 0.58%).

When considering disability, the most significant differences between Thai and Peruvian communities in the United States are seen in vision disability (1.7% compared to 2.1%, a difference of 19.2%), disability age under 5 (1.1% compared to 1.3%, a difference of 18.3%), and ambulatory disability (4.9% compared to 5.7%, a difference of 15.5%). Conversely, both communities are more comparable in terms of disability age over 75 (45.4% compared to 46.8%, a difference of 3.2%), cognitive disability (16.1% compared to 16.7%, a difference of 3.4%), and disability age 18 to 34 (5.6% compared to 6.0%, a difference of 6.1%).