Kenyan vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 147,827,672 people shows a weak positive correlation between the proportion of Peruvians within Kenyan communities in the United States with a correlation coefficient (R) of 0.226. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.029% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 29.1 Peruvians.

When considering income, the most significant differences between Kenyan and Peruvian communities in the United States are seen in householder income under 25 years ($50,815 compared to $56,052, a difference of 10.3%), householder income ages 25 - 44 years ($91,684 compared to $98,886, a difference of 7.9%), and median household income ($84,085 compared to $90,261, a difference of 7.3%). Conversely, both communities are more comparable in terms of median female earnings ($39,860 compared to $40,234, a difference of 0.94%), median earnings ($46,462 compared to $47,628, a difference of 2.5%), and householder income over 65 years ($60,514 compared to $62,766, a difference of 3.7%).

When considering poverty, the most significant differences between Kenyan and Peruvian communities in the United States are seen in female poverty among 18-24 year olds (20.2% compared to 17.2%, a difference of 17.0%), seniors poverty over the age of 75 (11.5% compared to 13.4%, a difference of 16.2%), and seniors poverty over the age of 65 (10.3% compared to 11.7%, a difference of 14.0%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.4%, a difference of 0.70%), family poverty (8.9% compared to 8.8%, a difference of 1.4%), and receiving food stamps (11.6% compared to 11.7%, a difference of 1.6%).

When considering unemployment, the most significant differences between Kenyan and Peruvian communities in the United States are seen in unemployment among ages 65 to 74 years (4.8% compared to 5.5%, a difference of 14.8%), unemployment among seniors over 65 years (4.7% compared to 5.3%, a difference of 13.3%), and unemployment among ages 60 to 64 years (4.6% compared to 5.0%, a difference of 10.2%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.1% compared to 9.0%, a difference of 0.41%), unemployment among women with children under 6 years (7.6% compared to 7.5%, a difference of 0.75%), and male unemployment (5.2% compared to 5.3%, a difference of 1.9%).

When considering labor participation, the most significant differences between Kenyan and Peruvian communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 34.6%, a difference of 16.0%), in labor force | age 20-24 (77.0% compared to 74.5%, a difference of 3.3%), and in labor force | age > 16 (67.6% compared to 66.3%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.7% compared to 83.6%, a difference of 0.20%), in labor force | age 35-44 (85.2% compared to 84.9%, a difference of 0.37%), and in labor force | age 20-64 (80.8% compared to 80.3%, a difference of 0.63%).

When considering family structure, the most significant differences between Kenyan and Peruvian communities in the United States are seen in married-couple households (44.7% compared to 47.6%, a difference of 6.6%), single mother households (7.0% compared to 6.5%, a difference of 6.6%), and family households (63.2% compared to 67.1%, a difference of 6.3%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.090%), births to unmarried women (31.9% compared to 31.5%, a difference of 1.2%), and family households with children (28.4% compared to 29.0%, a difference of 2.1%).

When considering vehicle availability, the most significant differences between Kenyan and Peruvian communities in the United States are seen in no vehicles in household (9.7% compared to 11.2%, a difference of 15.9%), 4 or more vehicles in household (6.1% compared to 6.5%, a difference of 6.1%), and 3 or more vehicles in household (19.1% compared to 19.6%, a difference of 2.8%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (55.5% compared to 55.0%, a difference of 1.0%), 1 or more vehicles in household (90.4% compared to 88.8%, a difference of 1.7%), and 3 or more vehicles in household (19.1% compared to 19.6%, a difference of 2.8%).

When considering education level, the most significant differences between Kenyan and Peruvian communities in the United States are seen in no schooling completed (2.0% compared to 2.4%, a difference of 16.8%), doctorate degree (1.9% compared to 1.8%, a difference of 8.5%), and college, under 1 year (66.5% compared to 64.1%, a difference of 3.7%). Conversely, both communities are more comparable in terms of master's degree (15.3% compared to 15.3%, a difference of 0.24%), nursery school (98.0% compared to 97.6%, a difference of 0.35%), and kindergarten (98.0% compared to 97.6%, a difference of 0.36%).

When considering disability, the most significant differences between Kenyan and Peruvian communities in the United States are seen in disability age 35 to 64 (11.4% compared to 9.9%, a difference of 15.4%), disability age 18 to 34 (6.8% compared to 6.0%, a difference of 13.4%), and cognitive disability (18.1% compared to 16.7%, a difference of 8.7%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 0.28%), disability age over 75 (47.2% compared to 46.8%, a difference of 0.85%), and ambulatory disability (5.8% compared to 5.7%, a difference of 1.7%).