Sierra Leonean vs Immigrants from Thailand Community Comparison

The statistical analysis conducted on geographies consisting of 73,804,740 people shows a mild positive correlation between the proportion of Immigrants from Thailand within Sierra Leonean communities in the United States with a correlation coefficient (R) of 0.377. On average, for every 1% (one percent) increase in Sierra Leoneans within a typical geography, there is an increase of 0.036% in Immigrants from Thailand. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sierra Leoneans corresponds to an increase of 36.3 Immigrants from Thailand.

When considering income, the most significant differences between Sierra Leonean and Immigrants from Thailand communities in the United States are seen in wage/income gap (21.4% compared to 24.5%, a difference of 14.4%), householder income under 25 years ($57,272 compared to $50,645, a difference of 13.1%), and median female earnings ($42,868 compared to $38,810, a difference of 10.4%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($93,435 compared to $91,337, a difference of 2.3%), median male earnings ($54,279 compared to $52,908, a difference of 2.6%), and per capita income ($43,405 compared to $42,289, a difference of 2.6%).

When considering poverty, the most significant differences between Sierra Leonean and Immigrants from Thailand communities in the United States are seen in single female poverty (19.7% compared to 22.0%, a difference of 11.3%), female poverty among 18-24 year olds (19.0% compared to 20.9%, a difference of 9.9%), and single mother poverty (27.4% compared to 29.9%, a difference of 8.9%). Conversely, both communities are more comparable in terms of child poverty under the age of 16 (17.6% compared to 17.5%, a difference of 0.45%), child poverty among girls under 16 (17.6% compared to 17.7%, a difference of 1.0%), and child poverty among boys under 16 (17.8% compared to 17.5%, a difference of 1.2%).

When considering unemployment, the most significant differences between Sierra Leonean and Immigrants from Thailand communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.9% compared to 8.3%, a difference of 19.6%), unemployment among ages 20 to 24 years (11.5% compared to 9.8%, a difference of 18.1%), and unemployment among youth under 25 years (13.3% compared to 11.3%, a difference of 17.7%). 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 0.30%), unemployment among ages 45 to 54 years (4.5% compared to 4.6%, a difference of 0.62%), and unemployment among ages 35 to 44 years (4.9% compared to 4.8%, a difference of 3.1%).

When considering labor participation, the most significant differences between Sierra Leonean and Immigrants from Thailand communities in the United States are seen in in labor force | age > 16 (68.9% compared to 65.7%, a difference of 4.8%), in labor force | age 16-19 (37.6% compared to 38.7%, a difference of 3.2%), and in labor force | age 45-54 (84.5% compared to 81.9%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.3% compared to 76.4%, a difference of 0.12%), in labor force | age 25-29 (85.8% compared to 84.6%, a difference of 1.3%), and in labor force | age 30-34 (86.0% compared to 84.5%, a difference of 1.8%).

When considering family structure, the most significant differences between Sierra Leonean and Immigrants from Thailand communities in the United States are seen in single mother households (7.7% compared to 6.9%, a difference of 12.8%), births to unmarried women (34.9% compared to 32.8%, a difference of 6.4%), and married-couple households (42.9% compared to 45.2%, a difference of 5.3%). Conversely, both communities are more comparable in terms of family households (63.9% compared to 63.8%, a difference of 0.060%), divorced or separated (12.1% compared to 12.1%, a difference of 0.12%), and average family size (3.30 compared to 3.27, a difference of 0.88%).

When considering vehicle availability, the most significant differences between Sierra Leonean and Immigrants from Thailand communities in the United States are seen in 4 or more vehicles in household (5.9% compared to 6.9%, a difference of 16.9%), no vehicles in household (11.0% compared to 9.5%, a difference of 15.6%), and 3 or more vehicles in household (18.3% compared to 20.5%, a difference of 11.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 90.6%, a difference of 1.7%), 2 or more vehicles in household (52.9% compared to 56.6%, a difference of 7.0%), and 3 or more vehicles in household (18.3% compared to 20.5%, a difference of 11.9%).

When considering education level, the most significant differences between Sierra Leonean and Immigrants from Thailand communities in the United States are seen in master's degree (16.8% compared to 14.2%, a difference of 18.5%), no schooling completed (2.3% compared to 2.7%, a difference of 16.8%), and bachelor's degree (40.1% compared to 36.5%, a difference of 9.8%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 97.3%, a difference of 0.40%), kindergarten (97.7% compared to 97.3%, a difference of 0.40%), and 1st grade (97.7% compared to 97.3%, a difference of 0.41%).

When considering disability, the most significant differences between Sierra Leonean and Immigrants from Thailand communities in the United States are seen in hearing disability (2.5% compared to 3.1%, a difference of 24.3%), disability age 35 to 64 (10.8% compared to 12.0%, a difference of 11.7%), and male disability (10.5% compared to 11.6%, a difference of 9.9%). Conversely, both communities are more comparable in terms of cognitive disability (17.9% compared to 17.9%, a difference of 0.39%), disability age under 5 (1.2% compared to 1.2%, a difference of 1.0%), and disability age 18 to 34 (6.8% compared to 6.9%, a difference of 1.6%).