Czechoslovakian vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 274,277,807 people shows a poor negative correlation between the proportion of Peruvians within Czechoslovakian communities in the United States with a correlation coefficient (R) of -0.125. On average, for every 1% (one percent) increase in Czechoslovakians within a typical geography, there is a decrease of 0.027% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Czechoslovakians corresponds to a decrease of 26.6 Peruvians.

When considering income, the most significant differences between Czechoslovakian and Peruvian communities in the United States are seen in wage/income gap (28.2% compared to 25.6%, a difference of 10.1%), householder income under 25 years ($51,224 compared to $56,052, a difference of 9.4%), and median household income ($84,965 compared to $90,261, a difference of 6.2%). Conversely, both communities are more comparable in terms of median male earnings ($55,382 compared to $55,659, a difference of 0.50%), per capita income ($43,806 compared to $44,479, a difference of 1.5%), and median earnings ($46,658 compared to $47,628, a difference of 2.1%).

When considering poverty, the most significant differences between Czechoslovakian and Peruvian communities in the United States are seen in seniors poverty over the age of 65 (9.5% compared to 11.7%, a difference of 23.6%), seniors poverty over the age of 75 (10.9% compared to 13.4%, a difference of 22.6%), and married-couple family poverty (4.4% compared to 5.3%, a difference of 21.7%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (15.5% compared to 15.4%, a difference of 0.73%), child poverty under the age of 16 (15.1% compared to 15.3%, a difference of 1.3%), and child poverty among boys under 16 (15.3% compared to 15.5%, a difference of 1.3%).

When considering unemployment, the most significant differences between Czechoslovakian and Peruvian communities in the United States are seen in female unemployment (4.8% compared to 5.4%, a difference of 13.5%), unemployment (4.8% compared to 5.3%, a difference of 11.4%), and unemployment among women with children under 18 years (5.1% compared to 5.6%, a difference of 11.2%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.4% compared to 5.5%, a difference of 0.97%), unemployment among women with children ages 6 to 17 years (9.1% compared to 9.2%, a difference of 1.1%), and unemployment among ages 25 to 29 years (6.7% compared to 6.6%, a difference of 1.8%).

When considering labor participation, the most significant differences between Czechoslovakian and Peruvian communities in the United States are seen in in labor force | age 16-19 (41.9% compared to 34.6%, a difference of 21.1%), in labor force | age 20-24 (77.5% compared to 74.5%, a difference of 4.0%), and in labor force | age > 16 (64.3% compared to 66.3%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.8% compared to 84.8%, a difference of 0.020%), in labor force | age 25-29 (85.0% compared to 84.7%, a difference of 0.35%), and in labor force | age 35-44 (84.6% compared to 84.9%, a difference of 0.40%).

When considering family structure, the most significant differences between Czechoslovakian and Peruvian communities in the United States are seen in single mother households (5.9% compared to 6.5%, a difference of 11.0%), family households with children (27.0% compared to 29.0%, a difference of 7.2%), and average family size (3.13 compared to 3.30, a difference of 5.5%). Conversely, both communities are more comparable in terms of births to unmarried women (32.0% compared to 31.5%, a difference of 1.7%), married-couple households (48.5% compared to 47.6%, a difference of 1.9%), and single father households (2.3% compared to 2.4%, a difference of 2.5%).

When considering vehicle availability, the most significant differences between Czechoslovakian and Peruvian communities in the United States are seen in no vehicles in household (7.8% compared to 11.2%, a difference of 43.6%), 3 or more vehicles in household (21.7% compared to 19.6%, a difference of 10.7%), and 4 or more vehicles in household (7.1% compared to 6.5%, a difference of 10.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.3% compared to 88.8%, a difference of 3.9%), 2 or more vehicles in household (59.8% compared to 55.0%, a difference of 8.8%), and 4 or more vehicles in household (7.1% compared to 6.5%, a difference of 10.2%).

When considering education level, the most significant differences between Czechoslovakian and Peruvian communities in the United States are seen in no schooling completed (1.6% compared to 2.4%, a difference of 47.3%), professional degree (4.2% compared to 4.5%, a difference of 7.1%), and master's degree (14.5% compared to 15.3%, a difference of 5.4%). Conversely, both communities are more comparable in terms of doctorate degree (1.8% compared to 1.8%, a difference of 0.23%), associate's degree (46.0% compared to 46.4%, a difference of 0.80%), and nursery school (98.5% compared to 97.6%, a difference of 0.84%).

When considering disability, the most significant differences between Czechoslovakian and Peruvian communities in the United States are seen in hearing disability (3.6% compared to 2.7%, a difference of 30.1%), disability age 18 to 34 (7.4% compared to 6.0%, a difference of 24.6%), and disability age under 5 (1.5% compared to 1.3%, a difference of 20.5%). Conversely, both communities are more comparable in terms of cognitive disability (16.6% compared to 16.7%, a difference of 0.46%), disability age over 75 (46.6% compared to 46.8%, a difference of 0.58%), and self-care disability (2.5% compared to 2.4%, a difference of 2.7%).