Immigrants from Argentina vs Immigrants from Kenya Community Comparison

The statistical analysis conducted on geographies consisting of 152,965,335 people shows a slight positive correlation between the proportion of Immigrants from Kenya within Immigrant from Argentina communities in the United States with a correlation coefficient (R) of 0.098. On average, for every 1% (one percent) increase in Immigrants from Argentina within a typical geography, there is an increase of 0.022% in Immigrants from Kenya. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Argentina corresponds to an increase of 21.6 Immigrants from Kenya.

When considering income, the most significant differences between Immigrants from Argentina and Immigrants from Kenya communities in the United States are seen in per capita income ($49,627 compared to $42,661, a difference of 16.3%), householder income ages 25 - 44 years ($101,415 compared to $90,767, a difference of 11.7%), and median male earnings ($59,491 compared to $53,427, a difference of 11.4%). Conversely, both communities are more comparable in terms of median female earnings ($41,554 compared to $39,535, a difference of 5.1%), householder income over 65 years ($63,885 compared to $59,710, a difference of 7.0%), and median earnings ($49,841 compared to $46,214, a difference of 7.9%).

When considering poverty, the most significant differences between Immigrants from Argentina and Immigrants from Kenya communities in the United States are seen in child poverty among girls under 16 (14.6% compared to 17.2%, a difference of 18.1%), female poverty among 18-24 year olds (18.0% compared to 21.0%, a difference of 16.7%), and child poverty under the age of 16 (14.5% compared to 16.9%, a difference of 16.6%). Conversely, both communities are more comparable in terms of single male poverty (11.9% compared to 12.5%, a difference of 4.8%), single father poverty (15.8% compared to 15.0%, a difference of 5.7%), and receiving food stamps (11.2% compared to 11.8%, a difference of 5.7%).

When considering unemployment, the most significant differences between Immigrants from Argentina and Immigrants from Kenya communities in the United States are seen in unemployment among ages 60 to 64 years (5.1% compared to 4.6%, a difference of 12.1%), unemployment among ages 16 to 19 years (18.0% compared to 16.2%, a difference of 10.9%), and unemployment among seniors over 75 years (8.0% compared to 8.8%, a difference of 10.8%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.4% compared to 5.4%, a difference of 0.040%), unemployment among ages 30 to 34 years (5.2% compared to 5.2%, a difference of 0.22%), and unemployment among women with children ages 6 to 17 years (8.7% compared to 8.8%, a difference of 0.42%).

When considering labor participation, the most significant differences between Immigrants from Argentina and Immigrants from Kenya communities in the United States are seen in in labor force | age 16-19 (32.9% compared to 40.5%, a difference of 23.2%), in labor force | age 20-24 (72.8% compared to 77.0%, a difference of 5.7%), and in labor force | age > 16 (65.6% compared to 67.6%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.3% compared to 83.5%, a difference of 0.20%), in labor force | age 35-44 (84.8% compared to 85.1%, a difference of 0.43%), and in labor force | age 30-34 (85.0% compared to 85.5%, a difference of 0.57%).

When considering family structure, the most significant differences between Immigrants from Argentina and Immigrants from Kenya communities in the United States are seen in single mother households (5.9% compared to 7.0%, a difference of 19.1%), single father households (2.2% compared to 2.4%, a difference of 10.6%), and married-couple households (47.2% compared to 44.1%, a difference of 7.2%). Conversely, both communities are more comparable in terms of divorced or separated (12.2% compared to 12.2%, a difference of 0.060%), average family size (3.22 compared to 3.21, a difference of 0.47%), and family households with children (27.5% compared to 28.1%, a difference of 2.4%).

When considering vehicle availability, the most significant differences between Immigrants from Argentina and Immigrants from Kenya communities in the United States are seen in no vehicles in household (11.2% compared to 9.6%, a difference of 15.7%), 2 or more vehicles in household (53.9% compared to 55.1%, a difference of 2.3%), and 3 or more vehicles in household (18.5% compared to 18.8%, a difference of 1.7%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (5.9% compared to 6.0%, a difference of 1.3%), 1 or more vehicles in household (88.9% compared to 90.4%, a difference of 1.7%), and 3 or more vehicles in household (18.5% compared to 18.8%, a difference of 1.7%).

When considering education level, the most significant differences between Immigrants from Argentina and Immigrants from Kenya communities in the United States are seen in professional degree (5.9% compared to 4.4%, a difference of 34.4%), master's degree (18.0% compared to 15.3%, a difference of 17.8%), and doctorate degree (2.2% compared to 1.9%, a difference of 16.5%). Conversely, both communities are more comparable in terms of 4th grade (97.5% compared to 97.5%, a difference of 0.0%), 5th grade (97.3% compared to 97.3%, a difference of 0.020%), and 3rd grade (97.7% compared to 97.7%, a difference of 0.030%).

When considering disability, the most significant differences between Immigrants from Argentina and Immigrants from Kenya communities in the United States are seen in disability age 35 to 64 (9.3% compared to 11.6%, a difference of 24.7%), disability age 18 to 34 (5.7% compared to 6.9%, a difference of 20.7%), and disability age 5 to 17 (5.0% compared to 5.8%, a difference of 16.4%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.45%), disability age under 5 (1.2% compared to 1.2%, a difference of 1.1%), and disability age over 75 (45.9% compared to 47.6%, a difference of 3.6%).