Lithuanian vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 312,034,389 people shows a slight positive correlation between the proportion of Peruvians within Lithuanian communities in the United States with a correlation coefficient (R) of 0.067. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.008% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 7.9 Peruvians.

When considering income, the most significant differences between Lithuanian and Peruvian communities in the United States are seen in wage/income gap (28.7% compared to 25.6%, a difference of 12.3%), per capita income ($49,448 compared to $44,479, a difference of 11.2%), and median male earnings ($61,228 compared to $55,659, a difference of 10.0%). Conversely, both communities are more comparable in terms of householder income over 65 years ($65,209 compared to $62,766, a difference of 3.9%), median household income ($93,852 compared to $90,261, a difference of 4.0%), and median female earnings ($42,108 compared to $40,234, a difference of 4.7%).

When considering poverty, the most significant differences between Lithuanian and Peruvian communities in the United States are seen in married-couple family poverty (4.0% compared to 5.3%, a difference of 33.8%), seniors poverty over the age of 65 (9.1% compared to 11.7%, a difference of 29.0%), and seniors poverty over the age of 75 (10.6% compared to 13.4%, a difference of 26.3%). Conversely, both communities are more comparable in terms of single mother poverty (27.4% compared to 27.5%, a difference of 0.35%), single female poverty (19.2% compared to 19.4%, a difference of 0.82%), and female poverty among 25-34 year olds (12.2% compared to 12.7%, a difference of 3.6%).

When considering unemployment, the most significant differences between Lithuanian and Peruvian communities in the United States are seen in female unemployment (4.7% compared to 5.4%, a difference of 14.5%), unemployment among women with children under 18 years (5.0% compared to 5.6%, a difference of 11.7%), and unemployment (4.8% compared to 5.3%, a difference of 11.0%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.5% compared to 6.6%, a difference of 0.31%), unemployment among ages 30 to 34 years (5.4% compared to 5.5%, a difference of 1.7%), and unemployment among ages 20 to 24 years (10.2% compared to 10.5%, a difference of 2.2%).

When considering labor participation, the most significant differences between Lithuanian and Peruvian communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 34.6%, a difference of 16.9%), in labor force | age 20-24 (77.0% compared to 74.5%, a difference of 3.3%), and in labor force | age > 16 (64.8% compared to 66.3%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.6% compared to 83.6%, a difference of 0.060%), in labor force | age 20-64 (80.2% compared to 80.3%, a difference of 0.080%), and in labor force | age 35-44 (85.2% compared to 84.9%, a difference of 0.34%).

When considering family structure, the most significant differences between Lithuanian and Peruvian communities in the United States are seen in single mother households (5.4% compared to 6.5%, a difference of 20.2%), single father households (2.1% compared to 2.4%, a difference of 12.8%), and family households with children (26.6% compared to 29.0%, a difference of 9.1%). Conversely, both communities are more comparable in terms of divorced or separated (11.7% compared to 11.9%, a difference of 1.5%), married-couple households (48.9% compared to 47.6%, a difference of 2.6%), and family households (64.0% compared to 67.1%, a difference of 4.8%).

When considering vehicle availability, the most significant differences between Lithuanian and Peruvian communities in the United States are seen in no vehicles in household (8.4% compared to 11.2%, a difference of 33.3%), 2 or more vehicles in household (58.2% compared to 55.0%, a difference of 5.9%), and 1 or more vehicles in household (91.7% compared to 88.8%, a difference of 3.2%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.3% compared to 6.5%, a difference of 2.1%), 3 or more vehicles in household (20.1% compared to 19.6%, a difference of 2.5%), and 1 or more vehicles in household (91.7% compared to 88.8%, a difference of 3.2%).

When considering education level, the most significant differences between Lithuanian and Peruvian communities in the United States are seen in no schooling completed (1.4% compared to 2.4%, a difference of 66.2%), doctorate degree (2.3% compared to 1.8%, a difference of 25.8%), and professional degree (5.4% compared to 4.5%, a difference of 19.4%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.6%, a difference of 1.0%), kindergarten (98.6% compared to 97.6%, a difference of 1.0%), and 1st grade (98.6% compared to 97.6%, a difference of 1.0%).

When considering disability, the most significant differences between Lithuanian and Peruvian communities in the United States are seen in disability age under 5 (1.6% compared to 1.3%, a difference of 24.5%), hearing disability (3.4% compared to 2.7%, a difference of 22.8%), and disability age 18 to 34 (7.0% compared to 6.0%, a difference of 16.5%). Conversely, both communities are more comparable in terms of vision disability (2.0% compared to 2.1%, a difference of 1.8%), self-care disability (2.4% compared to 2.4%, a difference of 1.9%), and cognitive disability (16.3% compared to 16.7%, a difference of 2.6%).