Immigrants from Kenya vs Immigrants from Micronesia Community Comparison

The statistical analysis conducted on geographies consisting of 48,476,248 people shows a mild positive correlation between the proportion of Immigrants from Micronesia within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.348. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.076% in Immigrants from Micronesia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 75.9 Immigrants from Micronesia.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Micronesia communities in the United States are seen in per capita income ($42,661 compared to $37,464, a difference of 13.9%), median male earnings ($53,427 compared to $47,177, a difference of 13.3%), and householder income ages 25 - 44 years ($90,767 compared to $80,544, a difference of 12.7%). Conversely, both communities are more comparable in terms of wage/income gap (24.4% compared to 24.4%, a difference of 0.26%), householder income under 25 years ($49,633 compared to $50,691, a difference of 2.1%), and householder income over 65 years ($59,710 compared to $61,000, a difference of 2.2%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Micronesia communities in the United States are seen in single father poverty (15.0% compared to 18.6%, a difference of 24.1%), female poverty among 25-34 year olds (13.8% compared to 15.8%, a difference of 14.8%), and receiving food stamps (11.8% compared to 13.5%, a difference of 14.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.0% compared to 20.7%, a difference of 1.7%), seniors poverty over the age of 65 (10.5% compared to 10.7%, a difference of 1.7%), and seniors poverty over the age of 75 (11.9% compared to 11.4%, a difference of 4.8%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Micronesia communities in the United States are seen in unemployment among women with children under 6 years (7.3% compared to 9.1%, a difference of 25.7%), unemployment among ages 35 to 44 years (4.4% compared to 5.5%, a difference of 23.6%), and unemployment among ages 30 to 34 years (5.2% compared to 6.0%, a difference of 15.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.8% compared to 8.8%, a difference of 0.32%), unemployment among ages 45 to 54 years (4.4% compared to 4.3%, a difference of 1.4%), and unemployment among women with children ages 6 to 17 years (8.8% compared to 8.9%, a difference of 1.7%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Micronesia communities in the United States are seen in in labor force | age > 16 (67.6% compared to 64.7%, a difference of 4.4%), in labor force | age 30-34 (85.5% compared to 82.4%, a difference of 3.8%), and in labor force | age 25-29 (85.4% compared to 83.0%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (40.5% compared to 40.2%, a difference of 0.83%), in labor force | age 20-24 (77.0% compared to 77.8%, a difference of 1.1%), and in labor force | age 20-64 (80.7% compared to 78.9%, a difference of 2.3%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Micronesia communities in the United States are seen in single father households (2.4% compared to 2.6%, a difference of 7.1%), divorced or separated (12.2% compared to 12.7%, a difference of 3.6%), and average family size (3.21 compared to 3.32, a difference of 3.5%). Conversely, both communities are more comparable in terms of single mother households (7.0% compared to 6.9%, a difference of 1.4%), currently married (44.9% compared to 45.6%, a difference of 1.7%), and married-couple households (44.1% compared to 44.9%, a difference of 1.8%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Micronesia communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 7.6%, a difference of 27.0%), 3 or more vehicles in household (18.8% compared to 20.7%, a difference of 10.5%), and no vehicles in household (9.6% compared to 10.1%, a difference of 4.7%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (55.1% compared to 55.1%, a difference of 0.090%), 1 or more vehicles in household (90.4% compared to 90.1%, a difference of 0.34%), and no vehicles in household (9.6% compared to 10.1%, a difference of 4.7%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Micronesia communities in the United States are seen in doctorate degree (1.9% compared to 1.3%, a difference of 41.8%), master's degree (15.3% compared to 10.8%, a difference of 41.7%), and professional degree (4.4% compared to 3.2%, a difference of 35.3%). Conversely, both communities are more comparable in terms of 6th grade (97.0% compared to 97.0%, a difference of 0.010%), 5th grade (97.3% compared to 97.3%, a difference of 0.040%), and 4th grade (97.5% compared to 97.5%, a difference of 0.050%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Micronesia communities in the United States are seen in hearing disability (2.9% compared to 3.6%, a difference of 26.9%), disability age under 5 (1.2% compared to 1.0%, a difference of 23.5%), and ambulatory disability (5.8% compared to 7.0%, a difference of 20.7%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.9%, a difference of 0.73%), cognitive disability (18.3% compared to 18.1%, a difference of 1.3%), and disability age over 75 (47.6% compared to 50.1%, a difference of 5.4%).