Peruvian vs Kenyan Community Comparison

The statistical analysis conducted on geographies consisting of 147,827,863 people shows a poor negative correlation between the proportion of Kenyans within Peruvian communities in the United States with a correlation coefficient (R) of -0.106. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is a decrease of 0.004% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to a decrease of 4.1 Kenyans.

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

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

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

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

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

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

When considering education level, the most significant differences between Peruvian and Kenyan communities in the United States are seen in no schooling completed (2.4% compared to 2.0%, a difference of 16.8%), doctorate degree (1.8% compared to 1.9%, a difference of 8.5%), and college, under 1 year (64.1% compared to 66.5%, 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 (97.6% compared to 98.0%, a difference of 0.35%), and kindergarten (97.6% compared to 98.0%, a difference of 0.36%).

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