Immigrants from Kenya vs Immigrants from Dominica Community Comparison

The statistical analysis conducted on geographies consisting of 62,321,537 people shows a significant positive correlation between the proportion of Immigrants from Dominica within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.646. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.544% in Immigrants from Dominica. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 544.0 Immigrants from Dominica.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Dominica communities in the United States are seen in wage/income gap (24.4% compared to 20.0%, a difference of 21.8%), householder income over 65 years ($59,710 compared to $50,071, a difference of 19.3%), and median family income ($100,679 compared to $85,411, a difference of 17.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,633 compared to $50,301, a difference of 1.3%), median female earnings ($39,535 compared to $37,825, a difference of 4.5%), and median earnings ($46,214 compared to $42,420, a difference of 8.9%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Dominica communities in the United States are seen in receiving food stamps (11.8% compared to 18.4%, a difference of 56.0%), seniors poverty over the age of 65 (10.5% compared to 15.5%, a difference of 46.7%), and married-couple family poverty (4.9% compared to 7.1%, a difference of 45.4%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.0% compared to 21.9%, a difference of 4.4%), single female poverty (21.4% compared to 23.9%, a difference of 11.5%), and single mother poverty (28.9% compared to 32.5%, a difference of 12.3%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Dominica communities in the United States are seen in unemployment among ages 30 to 34 years (5.2% compared to 7.3%, a difference of 40.5%), unemployment among ages 25 to 29 years (6.1% compared to 8.4%, a difference of 36.6%), and unemployment among ages 16 to 19 years (16.2% compared to 21.9%, a difference of 35.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.8% compared to 9.8%, a difference of 10.9%), unemployment among ages 65 to 74 years (5.1% compared to 6.0%, a difference of 17.4%), and unemployment among ages 60 to 64 years (4.6% compared to 5.4%, a difference of 18.3%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Dominica communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 32.5%, a difference of 24.7%), in labor force | age 20-24 (77.0% compared to 71.9%, a difference of 7.0%), and in labor force | age > 16 (67.6% compared to 64.5%, a difference of 4.7%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.5% compared to 84.0%, a difference of 1.8%), in labor force | age 35-44 (85.1% compared to 83.5%, a difference of 1.9%), and in labor force | age 25-29 (85.4% compared to 83.4%, a difference of 2.5%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Dominica communities in the United States are seen in single mother households (7.0% compared to 8.7%, a difference of 25.2%), births to unmarried women (32.1% compared to 39.5%, a difference of 23.1%), and married-couple households (44.1% compared to 39.4%, a difference of 11.9%). Conversely, both communities are more comparable in terms of family households (62.3% compared to 63.4%, a difference of 1.7%), single father households (2.4% compared to 2.5%, a difference of 2.9%), and divorced or separated (12.2% compared to 12.6%, a difference of 3.1%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Dominica communities in the United States are seen in no vehicles in household (9.6% compared to 22.2%, a difference of 130.7%), 4 or more vehicles in household (6.0% compared to 4.2%, a difference of 42.4%), and 3 or more vehicles in household (18.8% compared to 13.7%, a difference of 36.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 77.8%, a difference of 16.1%), 2 or more vehicles in household (55.1% compared to 41.6%, a difference of 32.4%), and 3 or more vehicles in household (18.8% compared to 13.7%, a difference of 36.9%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Dominica communities in the United States are seen in doctorate degree (1.9% compared to 1.4%, a difference of 38.1%), no schooling completed (2.1% compared to 2.8%, a difference of 32.8%), and professional degree (4.4% compared to 3.6%, a difference of 23.3%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 97.2%, a difference of 0.74%), kindergarten (97.9% compared to 97.1%, a difference of 0.75%), and 1st grade (97.8% compared to 97.1%, a difference of 0.76%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Dominica communities in the United States are seen in self-care disability (2.3% compared to 2.8%, a difference of 22.1%), vision disability (2.1% compared to 2.5%, a difference of 20.7%), and ambulatory disability (5.8% compared to 6.9%, a difference of 18.1%). Conversely, both communities are more comparable in terms of cognitive disability (18.3% compared to 18.6%, a difference of 1.3%), disability age over 75 (47.6% compared to 49.1%, a difference of 3.3%), and male disability (11.1% compared to 11.7%, a difference of 5.0%).