Immigrants from Lithuania vs White/Caucasian Community Comparison

The statistical analysis conducted on geographies consisting of 117,724,932 people shows a substantial positive correlation between the proportion of Whites/Caucasians within Immigrant from Lithuania communities in the United States with a correlation coefficient (R) of 0.556. On average, for every 1% (one percent) increase in Immigrants from Lithuania within a typical geography, there is an increase of 1.499% in Whites/Caucasians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Lithuania corresponds to an increase of 1,498.6 Whites/Caucasians.

When considering income, the most significant differences between Immigrants from Lithuania and White/Caucasian communities in the United States are seen in per capita income ($51,361 compared to $42,180, a difference of 21.8%), median family income ($118,053 compared to $99,800, a difference of 18.3%), and median household income ($96,836 compared to $82,029, a difference of 18.0%). Conversely, both communities are more comparable in terms of wage/income gap (28.6% compared to 28.5%, a difference of 0.33%), householder income under 25 years ($55,028 compared to $50,336, a difference of 9.3%), and householder income over 65 years ($66,087 compared to $58,847, a difference of 12.3%).

When considering poverty, the most significant differences between Immigrants from Lithuania and White/Caucasian communities in the United States are seen in female poverty among 25-34 year olds (11.1% compared to 14.7%, a difference of 32.1%), child poverty under the age of 5 (14.1% compared to 18.1%, a difference of 28.4%), and single female poverty (17.8% compared to 22.7%, a difference of 27.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (9.7% compared to 10.0%, a difference of 3.8%), seniors poverty over the age of 75 (11.0% compared to 11.4%, a difference of 4.1%), and married-couple family poverty (4.3% compared to 4.8%, a difference of 11.7%).

When considering unemployment, the most significant differences between Immigrants from Lithuania and White/Caucasian communities in the United States are seen in unemployment among seniors over 75 years (8.7% compared to 10.1%, a difference of 15.5%), unemployment among women with children ages 6 to 17 years (8.6% compared to 9.6%, a difference of 12.6%), and unemployment among ages 25 to 29 years (6.2% compared to 6.9%, a difference of 11.2%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.1% compared to 10.1%, a difference of 0.24%), female unemployment (4.9% compared to 4.9%, a difference of 0.42%), and unemployment among ages 16 to 19 years (17.0% compared to 16.8%, a difference of 0.91%).

When considering labor participation, the most significant differences between Immigrants from Lithuania and White/Caucasian communities in the United States are seen in in labor force | age 16-19 (37.2% compared to 41.3%, a difference of 11.0%), in labor force | age > 16 (65.6% compared to 63.6%, a difference of 3.2%), and in labor force | age 20-64 (80.7% compared to 78.5%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.1% compared to 76.9%, a difference of 1.1%), in labor force | age 35-44 (85.4% compared to 83.6%, a difference of 2.1%), and in labor force | age 30-34 (85.6% compared to 83.9%, a difference of 2.1%).

When considering family structure, the most significant differences between Immigrants from Lithuania and White/Caucasian communities in the United States are seen in single father households (1.9% compared to 2.4%, a difference of 26.8%), births to unmarried women (27.7% compared to 33.3%, a difference of 19.9%), and single mother households (5.3% compared to 6.1%, a difference of 16.3%). Conversely, both communities are more comparable in terms of married-couple households (48.6% compared to 48.6%, a difference of 0.010%), average family size (3.15 compared to 3.14, a difference of 0.31%), and currently married (48.8% compared to 48.6%, a difference of 0.50%).

When considering vehicle availability, the most significant differences between Immigrants from Lithuania and White/Caucasian communities in the United States are seen in no vehicles in household (9.8% compared to 7.0%, a difference of 39.6%), 4 or more vehicles in household (5.6% compared to 7.4%, a difference of 30.6%), and 3 or more vehicles in household (18.5% compared to 22.6%, a difference of 22.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.2% compared to 93.1%, a difference of 3.2%), 2 or more vehicles in household (55.8% compared to 60.8%, a difference of 9.0%), and 3 or more vehicles in household (18.5% compared to 22.6%, a difference of 22.3%).

When considering education level, the most significant differences between Immigrants from Lithuania and White/Caucasian communities in the United States are seen in professional degree (5.6% compared to 4.1%, a difference of 36.8%), master's degree (18.5% compared to 13.8%, a difference of 33.8%), and bachelor's degree (44.6% compared to 35.3%, a difference of 26.5%). Conversely, both communities are more comparable in terms of 9th grade (95.8% compared to 95.8%, a difference of 0.060%), 8th grade (96.6% compared to 96.7%, a difference of 0.070%), and nursery school (98.3% compared to 98.5%, a difference of 0.11%).

When considering disability, the most significant differences between Immigrants from Lithuania and White/Caucasian communities in the United States are seen in disability age 18 to 34 (5.8% compared to 7.6%, a difference of 31.8%), disability age 35 to 64 (9.6% compared to 12.6%, a difference of 31.7%), and disability age under 5 (1.3% compared to 1.7%, a difference of 31.0%). Conversely, both communities are more comparable in terms of disability age over 75 (44.9% compared to 47.3%, a difference of 5.5%), cognitive disability (16.0% compared to 17.0%, a difference of 6.4%), and self-care disability (2.3% compared to 2.6%, a difference of 12.8%).