White/Caucasian vs Lithuanian Community Comparison

The statistical analysis conducted on geographies consisting of 421,807,821 people shows a very strong positive correlation between the proportion of Lithuanians within White/Caucasian communities in the United States with a correlation coefficient (R) of 0.870. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is an increase of 0.005% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to an increase of 4.7 Lithuanians.

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

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

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

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

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

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

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

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