Peruvian vs Slavic Community Comparison

The statistical analysis conducted on geographies consisting of 216,114,171 people shows a moderate positive correlation between the proportion of Slavs within Peruvian communities in the United States with a correlation coefficient (R) of 0.407. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.040% in Slavs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 40.1 Slavs.

When considering income, the most significant differences between Peruvian and Slavic communities in the United States are seen in householder income under 25 years ($56,052 compared to $50,563, a difference of 10.9%), wage/income gap (25.6% compared to 27.4%, a difference of 7.2%), and median household income ($90,261 compared to $86,398, a difference of 4.5%). Conversely, both communities are more comparable in terms of median family income ($105,444 compared to $105,144, a difference of 0.28%), median earnings ($47,628 compared to $47,470, a difference of 0.33%), and per capita income ($44,479 compared to $45,049, a difference of 1.3%).

When considering poverty, the most significant differences between Peruvian and Slavic communities in the United States are seen in seniors poverty over the age of 65 (11.7% compared to 9.8%, a difference of 19.9%), seniors poverty over the age of 75 (13.4% compared to 11.2%, a difference of 19.3%), and married-couple family poverty (5.3% compared to 4.4%, a difference of 19.1%). Conversely, both communities are more comparable in terms of child poverty under the age of 16 (15.3% compared to 15.4%, a difference of 0.78%), child poverty among boys under 16 (15.5% compared to 15.7%, a difference of 0.93%), and male poverty (10.7% compared to 10.5%, a difference of 1.3%).

When considering unemployment, the most significant differences between Peruvian and Slavic communities in the United States are seen in female unemployment (5.4% compared to 4.9%, a difference of 11.1%), unemployment among ages 60 to 64 years (5.0% compared to 4.6%, a difference of 8.7%), and unemployment (5.3% compared to 4.9%, a difference of 8.4%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.6% compared to 6.5%, a difference of 0.33%), unemployment among seniors over 75 years (9.0% compared to 9.2%, a difference of 1.3%), and unemployment among ages 30 to 34 years (5.5% compared to 5.5%, a difference of 1.4%).

When considering labor participation, the most significant differences between Peruvian and Slavic communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 40.4%, a difference of 16.7%), in labor force | age 20-24 (74.5% compared to 76.9%, a difference of 3.1%), and in labor force | age > 16 (66.3% compared to 64.6%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.8% compared to 85.0%, a difference of 0.29%), in labor force | age 35-44 (84.9% compared to 84.7%, a difference of 0.29%), and in labor force | age 25-29 (84.7% compared to 85.1%, a difference of 0.39%).

When considering family structure, the most significant differences between Peruvian and Slavic communities in the United States are seen in single mother households (6.5% compared to 5.9%, a difference of 11.4%), family households with children (29.0% compared to 26.8%, a difference of 8.2%), and single father households (2.4% compared to 2.2%, a difference of 5.9%). Conversely, both communities are more comparable in terms of births to unmarried women (31.5% compared to 31.6%, a difference of 0.34%), married-couple households (47.6% compared to 47.8%, a difference of 0.42%), and divorced or separated (11.9% compared to 12.2%, a difference of 2.7%).

When considering vehicle availability, the most significant differences between Peruvian and Slavic communities in the United States are seen in no vehicles in household (11.2% compared to 9.0%, a difference of 25.6%), 2 or more vehicles in household (55.0% compared to 57.8%, a difference of 5.1%), and 3 or more vehicles in household (19.6% compared to 20.4%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.5% compared to 6.6%, a difference of 1.7%), 1 or more vehicles in household (88.8% compared to 91.2%, a difference of 2.6%), and 3 or more vehicles in household (19.6% compared to 20.4%, a difference of 4.0%).

When considering education level, the most significant differences between Peruvian and Slavic communities in the United States are seen in no schooling completed (2.4% compared to 1.7%, a difference of 44.7%), doctorate degree (1.8% compared to 1.9%, a difference of 6.0%), and college, under 1 year (64.1% compared to 66.7%, a difference of 4.1%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.4%, a difference of 0.80%), kindergarten (97.6% compared to 98.4%, a difference of 0.81%), and 1st grade (97.6% compared to 98.4%, a difference of 0.82%).

When considering disability, the most significant differences between Peruvian and Slavic communities in the United States are seen in hearing disability (2.7% compared to 3.4%, a difference of 25.3%), disability age 18 to 34 (6.0% compared to 7.4%, a difference of 23.8%), and disability age 35 to 64 (9.9% compared to 11.7%, a difference of 18.3%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.7%, a difference of 0.040%), disability age over 75 (46.8% compared to 46.1%, a difference of 1.5%), and disability age 65 to 74 (22.2% compared to 23.0%, a difference of 3.2%).