Kenyan vs Immigrants from Southern Europe Community Comparison

The statistical analysis conducted on geographies consisting of 151,258,458 people shows a poor positive correlation between the proportion of Immigrants from Southern Europe within Kenyan communities in the United States with a correlation coefficient (R) of 0.159. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.031% in Immigrants from Southern Europe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 30.6 Immigrants from Southern Europe.

When considering income, the most significant differences between Kenyan and Immigrants from Southern Europe communities in the United States are seen in householder income ages 25 - 44 years ($91,684 compared to $103,486, a difference of 12.9%), per capita income ($42,808 compared to $48,027, a difference of 12.2%), and median male earnings ($53,647 compared to $59,217, a difference of 10.4%). Conversely, both communities are more comparable in terms of householder income over 65 years ($60,514 compared to $61,902, a difference of 2.3%), median female earnings ($39,860 compared to $42,275, a difference of 6.1%), and householder income under 25 years ($50,815 compared to $54,484, a difference of 7.2%).

When considering poverty, the most significant differences between Kenyan and Immigrants from Southern Europe communities in the United States are seen in female poverty among 18-24 year olds (20.2% compared to 18.2%, a difference of 10.9%), seniors poverty over the age of 75 (11.5% compared to 12.7%, a difference of 10.5%), and child poverty among girls under 16 (16.8% compared to 15.3%, a difference of 10.2%). Conversely, both communities are more comparable in terms of single mother poverty (28.4% compared to 28.4%, a difference of 0.23%), single male poverty (12.4% compared to 12.4%, a difference of 0.34%), and married-couple family poverty (4.8% compared to 4.8%, a difference of 0.71%).

When considering unemployment, the most significant differences between Kenyan and Immigrants from Southern Europe communities in the United States are seen in unemployment among ages 65 to 74 years (4.8% compared to 5.6%, a difference of 16.7%), unemployment among seniors over 65 years (4.7% compared to 5.4%, a difference of 14.9%), and unemployment among ages 55 to 59 years (4.4% compared to 5.0%, a difference of 13.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.6% compared to 7.5%, a difference of 0.83%), unemployment among seniors over 75 years (9.1% compared to 9.2%, a difference of 0.87%), and unemployment among women with children under 18 years (5.3% compared to 5.5%, a difference of 4.2%).

When considering labor participation, the most significant differences between Kenyan and Immigrants from Southern Europe communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 36.4%, a difference of 10.1%), in labor force | age > 16 (67.6% compared to 65.0%, a difference of 4.0%), and in labor force | age 20-24 (77.0% compared to 74.5%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.4% compared to 85.0%, a difference of 0.39%), in labor force | age 30-34 (85.4% compared to 85.1%, a difference of 0.42%), and in labor force | age 35-44 (85.2% compared to 84.8%, a difference of 0.54%).

When considering family structure, the most significant differences between Kenyan and Immigrants from Southern Europe communities in the United States are seen in single mother households (7.0% compared to 6.1%, a difference of 14.7%), single father households (2.4% compared to 2.2%, a difference of 10.3%), and divorced or separated (12.2% compared to 11.6%, a difference of 5.4%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.18, a difference of 1.2%), family households (63.2% compared to 64.4%, a difference of 1.9%), and births to unmarried women (31.9% compared to 31.1%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Kenyan and Immigrants from Southern Europe communities in the United States are seen in no vehicles in household (9.7% compared to 13.0%, a difference of 34.2%), 3 or more vehicles in household (19.1% compared to 17.9%, a difference of 6.5%), and 4 or more vehicles in household (6.1% compared to 5.7%, a difference of 6.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 87.1%, a difference of 3.8%), 2 or more vehicles in household (55.5% compared to 52.3%, a difference of 6.2%), and 4 or more vehicles in household (6.1% compared to 5.7%, a difference of 6.3%).

When considering education level, the most significant differences between Kenyan and Immigrants from Southern Europe communities in the United States are seen in professional degree (4.4% compared to 5.0%, a difference of 14.2%), master's degree (15.3% compared to 16.6%, a difference of 8.4%), and no schooling completed (2.0% compared to 2.2%, a difference of 6.2%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 97.9%, a difference of 0.12%), kindergarten (98.0% compared to 97.8%, a difference of 0.12%), and 1st grade (97.9% compared to 97.8%, a difference of 0.12%).

When considering disability, the most significant differences between Kenyan and Immigrants from Southern Europe communities in the United States are seen in disability age under 5 (1.2% compared to 1.4%, a difference of 16.3%), self-care disability (2.3% compared to 2.5%, a difference of 9.4%), and cognitive disability (18.1% compared to 16.7%, a difference of 8.3%). Conversely, both communities are more comparable in terms of male disability (11.0% compared to 11.2%, a difference of 1.5%), disability (11.5% compared to 11.7%, a difference of 2.0%), and disability age over 75 (47.2% compared to 46.2%, a difference of 2.2%).