Peruvian vs Immigrants from Middle Africa Community Comparison

The statistical analysis conducted on geographies consisting of 174,395,992 people shows a poor negative correlation between the proportion of Immigrants from Middle Africa within Peruvian communities in the United States with a correlation coefficient (R) of -0.110. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is a decrease of 0.009% in Immigrants from Middle Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to a decrease of 8.8 Immigrants from Middle Africa.

When considering income, the most significant differences between Peruvian and Immigrants from Middle Africa communities in the United States are seen in householder income ages 25 - 44 years ($98,886 compared to $82,254, a difference of 20.2%), householder income under 25 years ($56,052 compared to $47,916, a difference of 17.0%), and median household income ($90,261 compared to $77,559, a difference of 16.4%). Conversely, both communities are more comparable in terms of median female earnings ($40,234 compared to $37,965, a difference of 6.0%), householder income over 65 years ($62,766 compared to $58,375, a difference of 7.5%), and median earnings ($47,628 compared to $43,416, a difference of 9.7%).

When considering poverty, the most significant differences between Peruvian and Immigrants from Middle Africa communities in the United States are seen in female poverty among 18-24 year olds (17.2% compared to 22.1%, a difference of 28.3%), child poverty among girls under 16 (15.4% compared to 19.2%, a difference of 25.2%), and child poverty under the age of 16 (15.3% compared to 19.0%, a difference of 24.6%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 15.6%, a difference of 1.4%), married-couple family poverty (5.3% compared to 5.4%, a difference of 1.9%), and seniors poverty over the age of 65 (11.7% compared to 11.1%, a difference of 5.7%).

When considering unemployment, the most significant differences between Peruvian and Immigrants from Middle Africa communities in the United States are seen in unemployment among ages 60 to 64 years (5.0% compared to 4.6%, a difference of 9.2%), unemployment among seniors over 65 years (5.3% compared to 4.9%, a difference of 9.0%), and unemployment among seniors over 75 years (9.0% compared to 8.3%, a difference of 9.0%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.5% compared to 10.4%, a difference of 0.22%), unemployment among ages 25 to 29 years (6.6% compared to 6.6%, a difference of 0.59%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 9.1%, a difference of 0.68%).

When considering labor participation, the most significant differences between Peruvian and Immigrants from Middle Africa communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 39.9%, a difference of 15.4%), in labor force | age 20-24 (74.5% compared to 76.6%, a difference of 2.8%), and in labor force | age > 16 (66.3% compared to 67.7%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.9% compared to 84.9%, a difference of 0.040%), in labor force | age 20-64 (80.3% compared to 80.5%, a difference of 0.21%), and in labor force | age 25-29 (84.7% compared to 85.0%, a difference of 0.32%).

When considering family structure, the most significant differences between Peruvian and Immigrants from Middle Africa communities in the United States are seen in single mother households (6.5% compared to 7.7%, a difference of 18.2%), married-couple households (47.6% compared to 41.8%, a difference of 14.0%), and births to unmarried women (31.5% compared to 34.9%, a difference of 10.9%). Conversely, both communities are more comparable in terms of average family size (3.30 compared to 3.25, a difference of 1.5%), family households with children (29.0% compared to 28.0%, a difference of 3.7%), and single father households (2.4% compared to 2.5%, a difference of 4.6%).

When considering vehicle availability, the most significant differences between Peruvian and Immigrants from Middle Africa communities in the United States are seen in 4 or more vehicles in household (6.5% compared to 5.8%, a difference of 11.5%), no vehicles in household (11.2% compared to 10.2%, a difference of 10.5%), and 3 or more vehicles in household (19.6% compared to 18.2%, a difference of 7.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 89.9%, a difference of 1.2%), 2 or more vehicles in household (55.0% compared to 53.4%, a difference of 2.9%), and 3 or more vehicles in household (19.6% compared to 18.2%, a difference of 7.7%).

When considering education level, the most significant differences between Peruvian and Immigrants from Middle Africa communities in the United States are seen in professional degree (4.5% compared to 4.2%, a difference of 7.2%), doctorate degree (1.8% compared to 1.9%, a difference of 5.4%), and master's degree (15.3% compared to 14.6%, a difference of 4.8%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.6%, a difference of 0.0%), kindergarten (97.6% compared to 97.6%, a difference of 0.0%), and 1st grade (97.6% compared to 97.6%, a difference of 0.0%).

When considering disability, the most significant differences between Peruvian and Immigrants from Middle Africa communities in the United States are seen in disability age 35 to 64 (9.9% compared to 12.0%, a difference of 21.4%), disability age 18 to 34 (6.0% compared to 6.9%, a difference of 15.9%), and disability age 5 to 17 (5.3% compared to 5.9%, a difference of 11.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.8% compared to 47.1%, a difference of 0.61%), hearing disability (2.7% compared to 2.8%, a difference of 1.2%), and self-care disability (2.4% compared to 2.3%, a difference of 2.8%).