Lithuanian vs White/Caucasian Community Comparison

The statistical analysis conducted on geographies consisting of 421,965,380 people shows a significant positive correlation between the proportion of Whites/Caucasians within Lithuanian communities in the United States with a correlation coefficient (R) of 0.679. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.625% in Whites/Caucasians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 625.4 Whites/Caucasians.

When considering income, the most significant differences between Lithuanian and White/Caucasian communities in the United States are seen in per capita income ($49,448 compared to $42,180, a difference of 17.2%), median family income ($115,395 compared to $99,800, a difference of 15.6%), and householder income ages 25 - 44 years ($105,223 compared to $91,668, a difference of 14.8%). Conversely, both communities are more comparable in terms of wage/income gap (28.7% compared to 28.5%, a difference of 0.80%), householder income under 25 years ($53,552 compared to $50,336, a difference of 6.4%), and householder income over 65 years ($65,209 compared to $58,847, a difference of 10.8%).

When considering poverty, the most significant differences between Lithuanian and White/Caucasian communities in the United States are seen in family poverty (7.2% compared to 8.8%, a difference of 22.1%), married-couple family poverty (4.0% compared to 4.8%, a difference of 21.8%), and female poverty among 25-34 year olds (12.2% compared to 14.7%, a difference of 20.0%). Conversely, both communities are more comparable in terms of single father poverty (17.3% compared to 18.4%, a difference of 6.2%), seniors poverty over the age of 75 (10.6% compared to 11.4%, a difference of 8.0%), and seniors poverty over the age of 65 (9.1% compared to 10.0%, a difference of 10.8%).

When considering unemployment, the most significant differences between Lithuanian and White/Caucasian communities in the United States are seen in unemployment among women with children under 6 years (7.8% compared to 8.4%, a difference of 7.9%), unemployment among ages 30 to 34 years (5.4% compared to 5.7%, a difference of 5.8%), and unemployment among ages 35 to 44 years (4.4% compared to 4.6%, a difference of 5.1%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.21%), unemployment among ages 16 to 19 years (16.7% compared to 16.8%, a difference of 0.40%), and unemployment among youth under 25 years (11.3% compared to 11.2%, a difference of 0.57%).

When considering labor participation, the most significant differences between Lithuanian and White/Caucasian communities in the United States are seen in in labor force | age 20-64 (80.2% compared to 78.5%, a difference of 2.2%), in labor force | age 16-19 (40.4% compared to 41.3%, a difference of 2.2%), and in labor force | age 45-54 (83.6% compared to 81.9%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 76.9%, a difference of 0.040%), in labor force | age 35-44 (85.2% compared to 83.6%, a difference of 1.9%), and in labor force | age 25-29 (85.8% compared to 84.2%, a difference of 1.9%).

When considering family structure, the most significant differences between Lithuanian and White/Caucasian communities in the United States are seen in single father households (2.1% compared to 2.4%, a difference of 13.3%), births to unmarried women (29.6% compared to 33.3%, a difference of 12.5%), and single mother households (5.4% compared to 6.1%, a difference of 12.4%). Conversely, both communities are more comparable in terms of married-couple households (48.9% compared to 48.6%, a difference of 0.58%), currently married (49.0% compared to 48.6%, a difference of 0.84%), and average family size (3.10 compared to 3.14, a difference of 1.3%).

When considering vehicle availability, the most significant differences between Lithuanian and White/Caucasian communities in the United States are seen in no vehicles in household (8.4% compared to 7.0%, a difference of 19.9%), 4 or more vehicles in household (6.3% compared to 7.4%, a difference of 16.4%), and 3 or more vehicles in household (20.1% compared to 22.6%, a difference of 12.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 93.1%, a difference of 1.5%), 2 or more vehicles in household (58.2% compared to 60.8%, a difference of 4.5%), and 3 or more vehicles in household (20.1% compared to 22.6%, a difference of 12.2%).

When considering education level, the most significant differences between Lithuanian and White/Caucasian communities in the United States are seen in professional degree (5.4% compared to 4.1%, a difference of 32.1%), doctorate degree (2.3% compared to 1.8%, a difference of 28.6%), and master's degree (17.7% compared to 13.8%, a difference of 28.4%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.5%, a difference of 0.18%), kindergarten (98.6% compared to 98.4%, a difference of 0.18%), and 1st grade (98.6% compared to 98.4%, a difference of 0.18%).

When considering disability, the most significant differences between Lithuanian and White/Caucasian communities in the United States are seen in disability age 35 to 64 (10.8% compared to 12.6%, a difference of 16.8%), vision disability (2.0% compared to 2.4%, a difference of 16.7%), and disability age 65 to 74 (21.4% compared to 24.2%, a difference of 13.3%). Conversely, both communities are more comparable in terms of cognitive disability (16.3% compared to 17.0%, a difference of 4.4%), disability age over 75 (45.1% compared to 47.3%, a difference of 5.0%), and disability age under 5 (1.6% compared to 1.7%, a difference of 6.4%).