British West Indian vs Immigrants from Yemen Community Comparison

The statistical analysis conducted on geographies consisting of 55,478,052 people shows a poor positive correlation between the proportion of Immigrants from Yemen within British West Indian communities in the United States with a correlation coefficient (R) of 0.150. On average, for every 1% (one percent) increase in British West Indians within a typical geography, there is an increase of 0.012% in Immigrants from Yemen. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 British West Indians corresponds to an increase of 12.3 Immigrants from Yemen.

When considering income, the most significant differences between British West Indian and Immigrants from Yemen communities in the United States are seen in per capita income ($40,330 compared to $33,696, a difference of 19.7%), householder income under 25 years ($51,844 compared to $43,591, a difference of 18.9%), and householder income ages 25 - 44 years ($85,565 compared to $73,043, a difference of 17.1%). Conversely, both communities are more comparable in terms of householder income over 65 years ($51,463 compared to $47,527, a difference of 8.3%), median male earnings ($49,636 compared to $44,083, a difference of 12.6%), and median earnings ($44,552 compared to $39,540, a difference of 12.7%).

When considering poverty, the most significant differences between British West Indian and Immigrants from Yemen communities in the United States are seen in married-couple family poverty (7.1% compared to 12.8%, a difference of 79.6%), family poverty (12.4% compared to 17.5%, a difference of 40.8%), and child poverty among girls under 16 (21.3% compared to 29.5%, a difference of 38.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (15.6% compared to 15.9%, a difference of 1.8%), seniors poverty over the age of 75 (17.4% compared to 16.5%, a difference of 5.6%), and single father poverty (17.7% compared to 20.6%, a difference of 16.5%).

When considering unemployment, the most significant differences between British West Indian and Immigrants from Yemen communities in the United States are seen in unemployment among seniors over 75 years (7.8% compared to 16.5%, a difference of 112.2%), unemployment among women with children under 6 years (8.3% compared to 13.5%, a difference of 62.2%), and unemployment among seniors over 65 years (5.8% compared to 8.2%, a difference of 42.2%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (15.5% compared to 15.6%, a difference of 0.24%), unemployment among ages 30 to 34 years (7.0% compared to 7.3%, a difference of 3.4%), and unemployment among ages 25 to 29 years (8.4% compared to 8.0%, a difference of 5.7%).

When considering labor participation, the most significant differences between British West Indian and Immigrants from Yemen communities in the United States are seen in in labor force | age 35-44 (84.0% compared to 76.3%, a difference of 10.1%), in labor force | age 45-54 (81.2% compared to 74.4%, a difference of 9.1%), and in labor force | age 20-64 (78.4% compared to 72.3%, a difference of 8.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (70.0% compared to 68.9%, a difference of 1.5%), in labor force | age 25-29 (83.2% compared to 78.2%, a difference of 6.3%), and in labor force | age 30-34 (84.0% compared to 78.2%, a difference of 7.4%).

When considering family structure, the most significant differences between British West Indian and Immigrants from Yemen communities in the United States are seen in births to unmarried women (38.0% compared to 31.7%, a difference of 20.0%), single mother households (8.4% compared to 7.4%, a difference of 13.3%), and family households with children (26.0% compared to 29.4%, a difference of 13.1%). Conversely, both communities are more comparable in terms of single father households (2.2% compared to 2.2%, a difference of 0.020%), family households (62.8% compared to 63.0%, a difference of 0.32%), and currently married (39.8% compared to 42.1%, a difference of 5.8%).

When considering vehicle availability, the most significant differences between British West Indian and Immigrants from Yemen communities in the United States are seen in no vehicles in household (29.7% compared to 19.5%, a difference of 52.7%), 4 or more vehicles in household (3.5% compared to 4.5%, a difference of 29.1%), and 3 or more vehicles in household (11.4% compared to 14.2%, a difference of 24.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (70.4% compared to 80.5%, a difference of 14.5%), 2 or more vehicles in household (35.4% compared to 42.8%, a difference of 21.0%), and 3 or more vehicles in household (11.4% compared to 14.2%, a difference of 24.4%).

When considering education level, the most significant differences between British West Indian and Immigrants from Yemen communities in the United States are seen in no schooling completed (2.7% compared to 4.1%, a difference of 51.3%), master's degree (13.8% compared to 11.6%, a difference of 19.5%), and bachelor's degree (34.5% compared to 29.9%, a difference of 15.2%). Conversely, both communities are more comparable in terms of kindergarten (97.3% compared to 95.9%, a difference of 1.5%), nursery school (97.3% compared to 95.9%, a difference of 1.5%), and 1st grade (97.2% compared to 95.8%, a difference of 1.5%).

When considering disability, the most significant differences between British West Indian and Immigrants from Yemen communities in the United States are seen in disability age 35 to 64 (11.9% compared to 14.0%, a difference of 18.0%), disability age 18 to 34 (6.0% compared to 7.0%, a difference of 16.5%), and hearing disability (2.4% compared to 2.8%, a difference of 15.9%). Conversely, both communities are more comparable in terms of ambulatory disability (7.0% compared to 7.1%, a difference of 2.4%), cognitive disability (18.2% compared to 18.8%, a difference of 3.3%), and female disability (12.7% compared to 13.2%, a difference of 4.0%).