Immigrants from Kenya vs Immigrants from Peru Community Comparison

The statistical analysis conducted on geographies consisting of 177,596,782 people shows a poor positive correlation between the proportion of Immigrants from Peru within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.198. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.012% in Immigrants from Peru. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 11.6 Immigrants from Peru.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Peru communities in the United States are seen in householder income under 25 years ($49,633 compared to $56,384, a difference of 13.6%), householder income ages 25 - 44 years ($90,767 compared to $97,329, a difference of 7.2%), and median household income ($83,068 compared to $89,010, a difference of 7.1%). Conversely, both communities are more comparable in terms of median female earnings ($39,535 compared to $39,871, a difference of 0.85%), median earnings ($46,214 compared to $47,025, a difference of 1.8%), and median male earnings ($53,427 compared to $54,695, a difference of 2.4%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Peru communities in the United States are seen in female poverty among 18-24 year olds (21.0% compared to 16.9%, a difference of 24.5%), seniors poverty over the age of 75 (11.9% compared to 13.7%, a difference of 14.3%), and seniors poverty over the age of 65 (10.5% compared to 12.0%, a difference of 13.7%). Conversely, both communities are more comparable in terms of receiving food stamps (11.8% compared to 12.0%, a difference of 2.1%), single father poverty (15.0% compared to 15.3%, a difference of 2.4%), and family poverty (9.2% compared to 8.9%, a difference of 3.2%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Peru communities in the United States are seen in unemployment among ages 60 to 64 years (4.6% compared to 5.1%, a difference of 11.1%), unemployment among seniors over 65 years (4.9% compared to 5.4%, a difference of 10.1%), and unemployment among ages 65 to 74 years (5.1% compared to 5.6%, a difference of 9.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.8% compared to 8.9%, a difference of 0.49%), male unemployment (5.2% compared to 5.3%, a difference of 2.2%), and unemployment among women with children under 6 years (7.3% compared to 7.5%, a difference of 3.4%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Peru communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 34.2%, a difference of 18.6%), in labor force | age 20-24 (77.0% compared to 74.5%, a difference of 3.4%), and in labor force | age > 16 (67.6% compared to 66.3%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.5% compared to 83.5%, a difference of 0.080%), in labor force | age 35-44 (85.1% compared to 84.9%, a difference of 0.28%), and in labor force | age 20-64 (80.7% compared to 80.3%, a difference of 0.52%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Peru communities in the United States are seen in family households (62.3% compared to 67.2%, a difference of 7.9%), married-couple households (44.1% compared to 47.3%, a difference of 7.4%), and single mother households (7.0% compared to 6.7%, a difference of 4.8%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.12%), births to unmarried women (32.1% compared to 31.8%, a difference of 0.80%), and divorced or separated (12.2% compared to 12.0%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Peru communities in the United States are seen in no vehicles in household (9.6% compared to 11.5%, a difference of 19.1%), 4 or more vehicles in household (6.0% compared to 6.4%, a difference of 7.2%), and 3 or more vehicles in household (18.8% compared to 19.4%, a difference of 3.1%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (55.1% compared to 54.4%, a difference of 1.4%), 1 or more vehicles in household (90.4% compared to 88.6%, a difference of 2.0%), and 3 or more vehicles in household (18.8% compared to 19.4%, a difference of 3.1%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Peru communities in the United States are seen in no schooling completed (2.1% compared to 2.5%, a difference of 18.0%), doctorate degree (1.9% compared to 1.7%, a difference of 10.1%), and college, under 1 year (66.5% compared to 63.1%, a difference of 5.3%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 97.5%, a difference of 0.39%), kindergarten (97.9% compared to 97.5%, a difference of 0.41%), and 1st grade (97.8% compared to 97.4%, a difference of 0.41%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Peru communities in the United States are seen in disability age 35 to 64 (11.6% compared to 9.8%, a difference of 18.6%), disability age 18 to 34 (6.9% compared to 5.9%, a difference of 17.6%), and disability age 5 to 17 (5.8% compared to 5.3%, a difference of 10.6%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 0.14%), disability age under 5 (1.2% compared to 1.2%, a difference of 0.44%), and disability age over 75 (47.6% compared to 46.9%, a difference of 1.4%).