German vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 362,623,824 people shows a mild negative correlation between the proportion of Peruvians within German communities in the United States with a correlation coefficient (R) of -0.336. On average, for every 1% (one percent) increase in Germans within a typical geography, there is a decrease of 0.003% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Germans corresponds to a decrease of 3.4 Peruvians.

When considering income, the most significant differences between German and Peruvian communities in the United States are seen in wage/income gap (29.2% compared to 25.6%, a difference of 13.9%), householder income under 25 years ($50,804 compared to $56,052, a difference of 10.3%), and median household income ($83,358 compared to $90,261, a difference of 8.3%). Conversely, both communities are more comparable in terms of median male earnings ($54,974 compared to $55,659, a difference of 1.3%), median family income ($102,254 compared to $105,444, a difference of 3.1%), and per capita income ($43,067 compared to $44,479, a difference of 3.3%).

When considering poverty, the most significant differences between German and Peruvian communities in the United States are seen in married-couple family poverty (4.0% compared to 5.3%, a difference of 31.2%), seniors poverty over the age of 65 (9.0% compared to 11.7%, a difference of 30.7%), and seniors poverty over the age of 75 (10.4% compared to 13.4%, a difference of 29.2%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (16.5% compared to 16.0%, a difference of 2.9%), child poverty among girls under 16 (14.9% compared to 15.4%, a difference of 2.9%), and child poverty among boys under 16 (14.8% compared to 15.5%, a difference of 4.8%).

When considering unemployment, the most significant differences between German and Peruvian communities in the United States are seen in female unemployment (4.5% compared to 5.4%, a difference of 21.2%), unemployment (4.5% compared to 5.3%, a difference of 18.8%), and unemployment among women with children under 18 years (4.9% compared to 5.6%, a difference of 15.9%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.2% compared to 9.2%, a difference of 0.26%), unemployment among ages 25 to 29 years (6.5% compared to 6.6%, a difference of 1.7%), and unemployment among ages 30 to 34 years (5.3% compared to 5.5%, a difference of 2.2%).

When considering labor participation, the most significant differences between German and Peruvian communities in the United States are seen in in labor force | age 16-19 (44.2% compared to 34.6%, a difference of 27.7%), in labor force | age 20-24 (78.6% compared to 74.5%, a difference of 5.4%), and in labor force | age > 16 (64.4% compared to 66.3%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.8% compared to 84.8%, a difference of 0.080%), in labor force | age 35-44 (84.7% compared to 84.9%, a difference of 0.28%), and in labor force | age 45-54 (83.1% compared to 83.6%, a difference of 0.58%).

When considering family structure, the most significant differences between German and Peruvian communities in the United States are seen in single mother households (5.8% compared to 6.5%, a difference of 13.6%), family households with children (27.1% compared to 29.0%, a difference of 7.0%), and average family size (3.09 compared to 3.30, a difference of 6.8%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.080%), births to unmarried women (32.0% compared to 31.5%, a difference of 1.5%), and married-couple households (49.2% compared to 47.6%, a difference of 3.2%).

When considering vehicle availability, the most significant differences between German and Peruvian communities in the United States are seen in no vehicles in household (6.7% compared to 11.2%, a difference of 68.5%), 3 or more vehicles in household (22.7% compared to 19.6%, a difference of 15.9%), and 4 or more vehicles in household (7.5% compared to 6.5%, a difference of 15.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.6% compared to 88.8%, a difference of 5.4%), 2 or more vehicles in household (61.6% compared to 55.0%, a difference of 12.0%), and 4 or more vehicles in household (7.5% compared to 6.5%, a difference of 15.4%).

When considering education level, the most significant differences between German and Peruvian communities in the United States are seen in no schooling completed (1.4% compared to 2.4%, a difference of 76.2%), professional degree (4.1% compared to 4.5%, a difference of 10.4%), and master's degree (14.0% compared to 15.3%, a difference of 9.1%). Conversely, both communities are more comparable in terms of college, 1 year or more (58.9% compared to 58.6%, a difference of 0.46%), doctorate degree (1.8% compared to 1.8%, a difference of 0.68%), and nursery school (98.7% compared to 97.6%, a difference of 1.1%).

When considering disability, the most significant differences between German and Peruvian communities in the United States are seen in disability age under 5 (1.7% compared to 1.3%, a difference of 37.2%), hearing disability (3.7% compared to 2.7%, a difference of 36.7%), and disability age 18 to 34 (7.7% compared to 6.0%, a difference of 29.4%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.7%, a difference of 0.050%), self-care disability (2.4% compared to 2.4%, a difference of 1.2%), and disability age over 75 (46.3% compared to 46.8%, a difference of 1.2%).