Danish vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 330,688,784 people shows a very strong positive correlation between the proportion of Peruvians within Danish communities in the United States with a correlation coefficient (R) of 0.827. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.671% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 671.1 Peruvians.

When considering income, the most significant differences between Danish and Peruvian communities in the United States are seen in wage/income gap (31.0% compared to 25.6%, a difference of 20.9%), median female earnings ($37,730 compared to $40,234, a difference of 6.6%), and householder income under 25 years ($53,041 compared to $56,052, a difference of 5.7%). Conversely, both communities are more comparable in terms of median family income ($105,900 compared to $105,444, a difference of 0.43%), householder income ages 45 - 64 years ($105,619 compared to $105,070, a difference of 0.52%), and householder income over 65 years ($63,117 compared to $62,766, a difference of 0.56%).

When considering poverty, the most significant differences between Danish and Peruvian communities in the United States are seen in seniors poverty over the age of 65 (8.8% compared to 11.7%, a difference of 32.8%), seniors poverty over the age of 75 (10.2% compared to 13.4%, a difference of 30.8%), and receiving food stamps (9.0% compared to 11.7%, a difference of 30.0%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (12.8% compared to 12.7%, a difference of 0.74%), single father poverty (15.8% compared to 15.4%, a difference of 2.3%), and single mother poverty (28.5% compared to 27.5%, a difference of 3.7%).

When considering unemployment, the most significant differences between Danish and Peruvian communities in the United States are seen in unemployment among women with children under 18 years (4.5% compared to 5.6%, a difference of 24.1%), female unemployment (4.4% compared to 5.4%, a difference of 23.8%), and unemployment (4.3% compared to 5.3%, a difference of 22.5%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.1% compared to 7.5%, a difference of 5.4%), unemployment among ages 65 to 74 years (5.2% compared to 5.5%, a difference of 6.6%), and unemployment among seniors over 75 years (9.7% compared to 9.0%, a difference of 7.1%).

When considering labor participation, the most significant differences between Danish and Peruvian communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 34.6%, a difference of 29.2%), in labor force | age 20-24 (79.0% compared to 74.5%, a difference of 6.0%), and in labor force | age > 16 (65.3% compared to 66.3%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.7%, a difference of 0.060%), in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.30%), and in labor force | age 20-64 (79.9% compared to 80.3%, a difference of 0.47%).

When considering family structure, the most significant differences between Danish and Peruvian communities in the United States are seen in single mother households (5.5% compared to 6.5%, a difference of 18.1%), births to unmarried women (28.7% compared to 31.5%, a difference of 9.8%), and currently married (50.5% compared to 46.6%, a difference of 8.2%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 11.9%, a difference of 0.25%), family households with children (28.7% compared to 29.0%, a difference of 0.87%), and family households (66.0% compared to 67.1%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Danish and Peruvian communities in the United States are seen in no vehicles in household (6.6% compared to 11.2%, a difference of 70.7%), 4 or more vehicles in household (8.6% compared to 6.5%, a difference of 32.8%), and 3 or more vehicles in household (24.7% compared to 19.6%, a difference of 25.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 88.8%, a difference of 5.3%), 2 or more vehicles in household (63.3% compared to 55.0%, a difference of 15.1%), and 3 or more vehicles in household (24.7% compared to 19.6%, a difference of 25.9%).

When considering education level, the most significant differences between Danish and Peruvian communities in the United States are seen in no schooling completed (1.5% compared to 2.4%, a difference of 63.1%), college, under 1 year (68.5% compared to 64.1%, a difference of 6.8%), and doctorate degree (1.9% compared to 1.8%, a difference of 5.9%). Conversely, both communities are more comparable in terms of bachelor's degree (38.1% compared to 38.3%, a difference of 0.72%), nursery school (98.6% compared to 97.6%, a difference of 1.0%), and kindergarten (98.6% compared to 97.6%, a difference of 1.0%).

When considering disability, the most significant differences between Danish and Peruvian communities in the United States are seen in hearing disability (3.6% compared to 2.7%, a difference of 30.2%), disability age 18 to 34 (7.5% compared to 6.0%, a difference of 25.6%), and disability age under 5 (1.5% compared to 1.3%, a difference of 17.7%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 0.17%), cognitive disability (16.7% compared to 16.7%, a difference of 0.40%), and disability age over 75 (46.2% compared to 46.8%, a difference of 1.4%).