Immigrants from Western Asia vs Bahamian Community Comparison

The statistical analysis conducted on geographies consisting of 103,861,471 people shows a poor positive correlation between the proportion of Bahamians within Immigrant from Western Asia communities in the United States with a correlation coefficient (R) of 0.103. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is an increase of 0.005% in Bahamians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Asia corresponds to an increase of 5.3 Bahamians.

When considering income, the most significant differences between Immigrants from Western Asia and Bahamian communities in the United States are seen in householder income ages 25 - 44 years ($99,516 compared to $75,395, a difference of 32.0%), median family income ($108,691 compared to $82,631, a difference of 31.5%), and householder income ages 45 - 64 years ($106,217 compared to $81,369, a difference of 30.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,190 compared to $45,743, a difference of 14.1%), median female earnings ($41,375 compared to $35,125, a difference of 17.8%), and householder income over 65 years ($62,645 compared to $51,000, a difference of 22.8%).

When considering poverty, the most significant differences between Immigrants from Western Asia and Bahamian communities in the United States are seen in receiving food stamps (11.6% compared to 17.0%, a difference of 46.2%), child poverty under the age of 5 (17.1% compared to 23.0%, a difference of 34.6%), and child poverty under the age of 16 (16.4% compared to 21.5%, a difference of 30.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.3% compared to 21.8%, a difference of 7.3%), single mother poverty (28.3% compared to 31.3%, a difference of 10.8%), and married-couple family poverty (6.0% compared to 6.6%, a difference of 11.1%).

When considering unemployment, the most significant differences between Immigrants from Western Asia and Bahamian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.7% compared to 10.4%, a difference of 19.7%), unemployment among ages 30 to 34 years (5.5% compared to 6.6%, a difference of 19.5%), and unemployment among women with children under 6 years (7.5% compared to 8.7%, a difference of 15.9%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.8% compared to 4.9%, a difference of 1.7%), unemployment among seniors over 65 years (5.2% compared to 5.3%, a difference of 3.5%), and unemployment among ages 65 to 74 years (5.4% compared to 5.7%, a difference of 4.0%).

When considering labor participation, the most significant differences between Immigrants from Western Asia and Bahamian communities in the United States are seen in in labor force | age > 16 (65.3% compared to 64.2%, a difference of 1.6%), in labor force | age 35-44 (83.8% compared to 84.7%, a difference of 1.2%), and in labor force | age 20-64 (79.2% compared to 78.4%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (82.4% compared to 82.2%, a difference of 0.34%), in labor force | age 20-24 (73.5% compared to 73.3%, a difference of 0.39%), and in labor force | age 25-29 (84.1% compared to 83.7%, a difference of 0.48%).

When considering family structure, the most significant differences between Immigrants from Western Asia and Bahamian communities in the United States are seen in births to unmarried women (27.2% compared to 40.8%, a difference of 49.8%), single mother households (5.7% compared to 8.3%, a difference of 44.1%), and divorced or separated (11.2% compared to 14.2%, a difference of 27.2%). Conversely, both communities are more comparable in terms of average family size (3.26 compared to 3.28, a difference of 0.62%), family households (64.1% compared to 63.3%, a difference of 1.2%), and family households with children (27.9% compared to 26.5%, a difference of 5.2%).

When considering vehicle availability, the most significant differences between Immigrants from Western Asia and Bahamian communities in the United States are seen in 4 or more vehicles in household (5.9% compared to 5.1%, a difference of 16.8%), no vehicles in household (11.0% compared to 9.9%, a difference of 11.7%), and 3 or more vehicles in household (18.4% compared to 16.9%, a difference of 8.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 90.2%, a difference of 1.3%), 2 or more vehicles in household (54.1% compared to 51.5%, a difference of 5.0%), and 3 or more vehicles in household (18.4% compared to 16.9%, a difference of 8.6%).

When considering education level, the most significant differences between Immigrants from Western Asia and Bahamian communities in the United States are seen in doctorate degree (2.2% compared to 1.5%, a difference of 53.6%), professional degree (5.4% compared to 3.7%, a difference of 46.9%), and master's degree (17.5% compared to 12.4%, a difference of 40.9%). Conversely, both communities are more comparable in terms of 4th grade (97.2% compared to 97.2%, a difference of 0.010%), 8th grade (95.3% compared to 95.3%, a difference of 0.010%), and 5th grade (97.0% compared to 97.0%, a difference of 0.020%).

When considering disability, the most significant differences between Immigrants from Western Asia and Bahamian communities in the United States are seen in disability age 5 to 17 (5.1% compared to 6.3%, a difference of 24.8%), vision disability (2.0% compared to 2.4%, a difference of 19.6%), and disability age under 5 (1.1% compared to 1.3%, a difference of 18.7%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 48.0%, a difference of 0.010%), hearing disability (2.9% compared to 2.9%, a difference of 0.40%), and self-care disability (2.6% compared to 2.6%, a difference of 1.3%).