Immigrants from Yemen vs Immigrants from Liberia Community Comparison

The statistical analysis conducted on geographies consisting of 54,470,284 people shows a slight positive correlation between the proportion of Immigrants from Liberia within Immigrant from Yemen communities in the United States with a correlation coefficient (R) of 0.076. On average, for every 1% (one percent) increase in Immigrants from Yemen within a typical geography, there is an increase of 0.001% in Immigrants from Liberia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Yemen corresponds to an increase of 1.5 Immigrants from Liberia.

When considering income, the most significant differences between Immigrants from Yemen and Immigrants from Liberia communities in the United States are seen in householder income ages 45 - 64 years ($74,575 compared to $87,739, a difference of 17.6%), median family income ($77,457 compared to $90,450, a difference of 16.8%), and median household income ($65,194 compared to $74,896, a difference of 14.9%). Conversely, both communities are more comparable in terms of wage/income gap (21.1% compared to 20.6%, a difference of 2.4%), median earnings ($39,540 compared to $42,923, a difference of 8.6%), and median female earnings ($34,693 compared to $37,970, a difference of 9.4%).

When considering poverty, the most significant differences between Immigrants from Yemen and Immigrants from Liberia communities in the United States are seen in married-couple family poverty (12.8% compared to 5.5%, a difference of 132.6%), family poverty (17.5% compared to 10.8%, a difference of 61.5%), and male poverty (20.1% compared to 13.0%, a difference of 55.1%). Conversely, both communities are more comparable in terms of single mother poverty (38.5% compared to 30.1%, a difference of 27.8%), female poverty among 25-34 year olds (19.8% compared to 15.4%, a difference of 28.2%), and single female poverty (28.9% compared to 22.5%, a difference of 28.4%).

When considering unemployment, the most significant differences between Immigrants from Yemen and Immigrants from Liberia communities in the United States are seen in unemployment among women with children under 6 years (13.5% compared to 8.4%, a difference of 60.9%), unemployment among seniors over 75 years (16.5% compared to 10.9%, a difference of 51.4%), and unemployment among seniors over 65 years (8.2% compared to 5.5%, a difference of 49.1%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (20.0% compared to 18.1%, a difference of 10.7%), unemployment among ages 25 to 29 years (8.0% compared to 7.0%, a difference of 14.9%), and unemployment among ages 30 to 34 years (7.3% compared to 6.0%, a difference of 21.5%).

When considering labor participation, the most significant differences between Immigrants from Yemen and Immigrants from Liberia communities in the United States are seen in in labor force | age 16-19 (31.5% compared to 41.5%, a difference of 31.5%), in labor force | age > 16 (59.6% compared to 67.6%, a difference of 13.4%), and in labor force | age 35-44 (76.3% compared to 85.4%, a difference of 11.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (78.2% compared to 85.9%, a difference of 9.8%), in labor force | age 30-34 (78.2% compared to 85.9%, a difference of 9.9%), and in labor force | age 45-54 (74.4% compared to 82.7%, a difference of 11.2%).

When considering family structure, the most significant differences between Immigrants from Yemen and Immigrants from Liberia communities in the United States are seen in births to unmarried women (31.7% compared to 37.6%, a difference of 18.8%), single mother households (7.4% compared to 8.7%, a difference of 17.7%), and single father households (2.2% compared to 2.5%, a difference of 16.6%). Conversely, both communities are more comparable in terms of currently married (42.1% compared to 41.8%, a difference of 0.70%), family households (63.0% compared to 62.0%, a difference of 1.5%), and married-couple households (42.0% compared to 40.3%, a difference of 4.1%).

When considering vehicle availability, the most significant differences between Immigrants from Yemen and Immigrants from Liberia communities in the United States are seen in no vehicles in household (19.5% compared to 12.2%, a difference of 59.4%), 4 or more vehicles in household (4.5% compared to 5.4%, a difference of 20.2%), and 3 or more vehicles in household (14.2% compared to 17.1%, a difference of 20.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (80.5% compared to 87.8%, a difference of 9.0%), 2 or more vehicles in household (42.8% compared to 51.3%, a difference of 19.8%), and 3 or more vehicles in household (14.2% compared to 17.1%, a difference of 20.1%).

When considering education level, the most significant differences between Immigrants from Yemen and Immigrants from Liberia communities in the United States are seen in no schooling completed (4.1% compared to 2.5%, a difference of 67.0%), associate's degree (37.3% compared to 42.3%, a difference of 13.3%), and bachelor's degree (29.9% compared to 33.5%, a difference of 12.2%). Conversely, both communities are more comparable in terms of professional degree (3.4% compared to 3.4%, a difference of 0.72%), kindergarten (95.9% compared to 97.5%, a difference of 1.7%), and nursery school (95.9% compared to 97.5%, a difference of 1.7%).

When considering disability, the most significant differences between Immigrants from Yemen and Immigrants from Liberia communities in the United States are seen in disability age under 5 (0.91% compared to 1.4%, a difference of 52.2%), disability age 5 to 17 (5.3% compared to 6.1%, a difference of 14.6%), and self-care disability (3.0% compared to 2.6%, a difference of 13.8%). Conversely, both communities are more comparable in terms of male disability (12.0% compared to 11.9%, a difference of 0.76%), cognitive disability (18.8% compared to 18.7%, a difference of 0.80%), and hearing disability (2.8% compared to 2.8%, a difference of 0.88%).