Immigrants from Kenya vs Immigrants from Thailand Community Comparison

The statistical analysis conducted on geographies consisting of 176,699,366 people shows a moderate positive correlation between the proportion of Immigrants from Thailand within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.417. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.095% in Immigrants from Thailand. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 95.1 Immigrants from Thailand.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Thailand communities in the United States are seen in householder income under 25 years ($49,633 compared to $50,645, a difference of 2.0%), median female earnings ($39,535 compared to $38,810, a difference of 1.9%), and median earnings ($46,214 compared to $45,598, a difference of 1.3%). Conversely, both communities are more comparable in terms of median household income ($83,068 compared to $83,327, a difference of 0.31%), householder income ages 45 - 64 years ($97,964 compared to $97,400, a difference of 0.58%), and wage/income gap (24.4% compared to 24.5%, a difference of 0.62%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Thailand communities in the United States are seen in married-couple family poverty (4.9% compared to 5.5%, a difference of 12.5%), single father poverty (15.0% compared to 15.8%, a difference of 5.6%), and family poverty (9.2% compared to 9.7%, a difference of 5.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.0% compared to 20.9%, a difference of 0.37%), seniors poverty over the age of 75 (11.9% compared to 12.2%, a difference of 1.8%), and child poverty under the age of 5 (17.9% compared to 18.3%, a difference of 2.4%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Thailand communities in the United States are seen in unemployment among ages 35 to 44 years (4.4% compared to 4.8%, a difference of 7.8%), unemployment among ages 25 to 29 years (6.1% compared to 6.6%, a difference of 6.9%), and unemployment among ages 55 to 59 years (4.5% compared to 4.7%, a difference of 6.2%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (9.7% compared to 9.8%, a difference of 0.17%), unemployment among seniors over 75 years (8.8% compared to 8.8%, a difference of 0.48%), and unemployment among youth under 25 years (11.2% compared to 11.3%, a difference of 1.1%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Thailand communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 38.7%, a difference of 4.5%), in labor force | age > 16 (67.6% compared to 65.7%, a difference of 2.8%), and in labor force | age 45-54 (83.5% compared to 81.9%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 76.4%, a difference of 0.71%), in labor force | age 25-29 (85.4% compared to 84.6%, a difference of 0.97%), and in labor force | age 30-34 (85.5% compared to 84.5%, a difference of 1.2%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Thailand communities in the United States are seen in single father households (2.4% compared to 2.5%, a difference of 4.7%), married-couple households (44.1% compared to 45.2%, a difference of 2.5%), and family households (62.3% compared to 63.8%, a difference of 2.4%). Conversely, both communities are more comparable in terms of family households with children (28.1% compared to 28.2%, a difference of 0.42%), divorced or separated (12.2% compared to 12.1%, a difference of 0.77%), and currently married (44.9% compared to 45.4%, a difference of 1.1%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Thailand communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 6.9%, a difference of 15.5%), 3 or more vehicles in household (18.8% compared to 20.5%, a difference of 9.2%), and 2 or more vehicles in household (55.1% compared to 56.6%, a difference of 2.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.6%, a difference of 0.17%), no vehicles in household (9.6% compared to 9.5%, a difference of 1.3%), and 2 or more vehicles in household (55.1% compared to 56.6%, a difference of 2.7%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Thailand communities in the United States are seen in no schooling completed (2.1% compared to 2.7%, a difference of 26.8%), master's degree (15.3% compared to 14.2%, a difference of 7.7%), and bachelor's degree (38.8% compared to 36.5%, a difference of 6.2%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 97.3%, a difference of 0.58%), kindergarten (97.9% compared to 97.3%, a difference of 0.58%), and 1st grade (97.8% compared to 97.3%, a difference of 0.58%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Thailand communities in the United States are seen in self-care disability (2.3% compared to 2.6%, a difference of 9.6%), hearing disability (2.9% compared to 3.1%, a difference of 8.5%), and ambulatory disability (5.8% compared to 6.1%, a difference of 5.7%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (6.9% compared to 6.9%, a difference of 0.15%), disability age over 75 (47.6% compared to 48.3%, a difference of 1.5%), and disability age under 5 (1.2% compared to 1.2%, a difference of 2.0%).