Immigrants from Liberia vs Immigrants from Thailand Community Comparison

The statistical analysis conducted on geographies consisting of 112,353,041 people shows a substantial positive correlation between the proportion of Immigrants from Thailand within Immigrant from Liberia communities in the United States with a correlation coefficient (R) of 0.514. On average, for every 1% (one percent) increase in Immigrants from Liberia within a typical geography, there is an increase of 0.139% in Immigrants from Thailand. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Liberia corresponds to an increase of 139.3 Immigrants from Thailand.

When considering income, the most significant differences between Immigrants from Liberia and Immigrants from Thailand communities in the United States are seen in wage/income gap (20.6% compared to 24.5%, a difference of 19.4%), householder income ages 25 - 44 years ($80,863 compared to $91,337, a difference of 13.0%), and householder income over 65 years ($53,967 compared to $60,217, a difference of 11.6%). Conversely, both communities are more comparable in terms of median female earnings ($37,970 compared to $38,810, a difference of 2.2%), householder income under 25 years ($47,981 compared to $50,645, a difference of 5.6%), and median earnings ($42,923 compared to $45,598, a difference of 6.2%).

When considering poverty, the most significant differences between Immigrants from Liberia and Immigrants from Thailand communities in the United States are seen in receiving food stamps (15.1% compared to 12.4%, a difference of 21.9%), child poverty among girls under 16 (20.2% compared to 17.7%, a difference of 14.0%), and child poverty under the age of 16 (19.7% compared to 17.5%, a difference of 12.7%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.5% compared to 5.5%, a difference of 0.18%), single father poverty (15.9% compared to 15.8%, a difference of 0.41%), and single mother poverty (30.1% compared to 29.9%, a difference of 0.90%).

When considering unemployment, the most significant differences between Immigrants from Liberia and Immigrants from Thailand communities in the United States are seen in unemployment among women with children ages 6 to 17 years (10.3% compared to 8.3%, a difference of 24.1%), unemployment among seniors over 75 years (10.9% compared to 8.8%, a difference of 23.8%), and unemployment among ages 20 to 24 years (11.1% compared to 9.8%, a difference of 13.6%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.7% compared to 4.7%, a difference of 1.5%), unemployment among ages 45 to 54 years (4.8% compared to 4.6%, a difference of 4.8%), and unemployment among ages 55 to 59 years (5.0% compared to 4.7%, a difference of 5.3%).

When considering labor participation, the most significant differences between Immigrants from Liberia and Immigrants from Thailand communities in the United States are seen in in labor force | age 16-19 (41.5% compared to 38.7%, a difference of 7.0%), in labor force | age > 16 (67.6% compared to 65.7%, a difference of 2.9%), and in labor force | age 30-34 (85.9% compared to 84.5%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.1% compared to 76.4%, a difference of 0.88%), in labor force | age 45-54 (82.7% compared to 81.9%, a difference of 1.0%), and in labor force | age 20-64 (80.5% compared to 79.4%, a difference of 1.5%).

When considering family structure, the most significant differences between Immigrants from Liberia and Immigrants from Thailand communities in the United States are seen in single mother households (8.7% compared to 6.9%, a difference of 27.0%), births to unmarried women (37.6% compared to 32.8%, a difference of 14.9%), and married-couple households (40.3% compared to 45.2%, a difference of 12.0%). Conversely, both communities are more comparable in terms of family households with children (28.2% compared to 28.2%, a difference of 0.050%), average family size (3.27 compared to 3.27, a difference of 0.14%), and single father households (2.5% compared to 2.5%, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Immigrants from Liberia and Immigrants from Thailand communities in the United States are seen in 4 or more vehicles in household (5.4% compared to 6.9%, a difference of 28.4%), no vehicles in household (12.2% compared to 9.5%, a difference of 28.4%), and 3 or more vehicles in household (17.1% compared to 20.5%, a difference of 19.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.8% compared to 90.6%, a difference of 3.1%), 2 or more vehicles in household (51.3% compared to 56.6%, a difference of 10.3%), and 3 or more vehicles in household (17.1% compared to 20.5%, a difference of 19.9%).

When considering education level, the most significant differences between Immigrants from Liberia and Immigrants from Thailand communities in the United States are seen in professional degree (3.4% compared to 4.3%, a difference of 24.8%), doctorate degree (1.5% compared to 1.8%, a difference of 23.4%), and master's degree (12.5% compared to 14.2%, a difference of 13.3%). Conversely, both communities are more comparable in terms of ged/equivalency (84.4% compared to 84.5%, a difference of 0.090%), nursery school (97.5% compared to 97.3%, a difference of 0.21%), and kindergarten (97.5% compared to 97.3%, a difference of 0.21%).

When considering disability, the most significant differences between Immigrants from Liberia and Immigrants from Thailand communities in the United States are seen in disability age under 5 (1.4% compared to 1.2%, a difference of 13.5%), disability age 35 to 64 (13.2% compared to 12.0%, a difference of 10.0%), and hearing disability (2.8% compared to 3.1%, a difference of 9.5%). Conversely, both communities are more comparable in terms of disability age over 75 (48.1% compared to 48.3%, a difference of 0.44%), self-care disability (2.6% compared to 2.6%, a difference of 2.8%), and male disability (11.9% compared to 11.6%, a difference of 3.0%).