Lithuanian vs Immigrants from Northern Europe Community Comparison

The statistical analysis conducted on geographies consisting of 390,958,447 people shows a significant positive correlation between the proportion of Immigrants from Northern Europe within Lithuanian communities in the United States with a correlation coefficient (R) of 0.681. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.229% in Immigrants from Northern Europe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 228.7 Immigrants from Northern Europe.

When considering income, the most significant differences between Lithuanian and Immigrants from Northern Europe communities in the United States are seen in per capita income ($49,448 compared to $54,159, a difference of 9.5%), median household income ($93,852 compared to $99,813, a difference of 6.4%), and median male earnings ($61,228 compared to $64,987, a difference of 6.1%). Conversely, both communities are more comparable in terms of wage/income gap (28.7% compared to 28.5%, a difference of 1.0%), householder income under 25 years ($53,552 compared to $54,571, a difference of 1.9%), and householder income ages 45 - 64 years ($112,484 compared to $117,930, a difference of 4.8%).

When considering poverty, the most significant differences between Lithuanian and Immigrants from Northern Europe communities in the United States are seen in seniors poverty over the age of 65 (9.1% compared to 9.8%, a difference of 7.7%), married-couple family poverty (4.0% compared to 4.2%, a difference of 7.0%), and seniors poverty over the age of 75 (10.6% compared to 11.3%, a difference of 6.7%). Conversely, both communities are more comparable in terms of single female poverty (19.2% compared to 19.2%, a difference of 0.12%), child poverty among girls under 16 (13.9% compared to 13.8%, a difference of 0.17%), and child poverty under the age of 16 (13.5% compared to 13.6%, a difference of 0.24%).

When considering unemployment, the most significant differences between Lithuanian and Immigrants from Northern Europe communities in the United States are seen in unemployment among seniors over 75 years (9.9% compared to 8.9%, a difference of 11.3%), unemployment among women with children under 6 years (7.8% compared to 7.2%, a difference of 7.9%), and unemployment among women with children ages 6 to 17 years (9.4% compared to 8.9%, a difference of 6.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.41%), unemployment among ages 30 to 34 years (5.4% compared to 5.3%, a difference of 0.46%), and unemployment among ages 65 to 74 years (5.4% compared to 5.4%, a difference of 0.65%).

When considering labor participation, the most significant differences between Lithuanian and Immigrants from Northern Europe communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 36.5%, a difference of 10.8%), in labor force | age 20-24 (77.0% compared to 74.8%, a difference of 2.8%), and in labor force | age 25-29 (85.8% compared to 85.2%, a difference of 0.71%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.8% compared to 64.7%, a difference of 0.28%), in labor force | age 30-34 (85.6% compared to 85.3%, a difference of 0.36%), and in labor force | age 35-44 (85.2% compared to 84.7%, a difference of 0.61%).

When considering family structure, the most significant differences between Lithuanian and Immigrants from Northern Europe communities in the United States are seen in single father households (2.1% compared to 2.0%, a difference of 4.3%), births to unmarried women (29.6% compared to 28.6%, a difference of 3.2%), and single mother households (5.4% compared to 5.3%, a difference of 2.3%). Conversely, both communities are more comparable in terms of family households with children (26.6% compared to 26.7%, a difference of 0.31%), currently married (49.0% compared to 48.8%, a difference of 0.36%), and family households (64.0% compared to 63.8%, a difference of 0.40%).

When considering vehicle availability, the most significant differences between Lithuanian and Immigrants from Northern Europe communities in the United States are seen in no vehicles in household (8.4% compared to 10.7%, a difference of 26.3%), 2 or more vehicles in household (58.2% compared to 56.1%, a difference of 3.9%), and 3 or more vehicles in household (20.1% compared to 19.5%, a difference of 3.2%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.3% compared to 6.2%, a difference of 1.4%), 1 or more vehicles in household (91.7% compared to 89.5%, a difference of 2.5%), and 3 or more vehicles in household (20.1% compared to 19.5%, a difference of 3.2%).

When considering education level, the most significant differences between Lithuanian and Immigrants from Northern Europe communities in the United States are seen in no schooling completed (1.4% compared to 1.7%, a difference of 16.1%), professional degree (5.4% compared to 6.2%, a difference of 15.5%), and doctorate degree (2.3% compared to 2.6%, a difference of 13.9%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.4%, a difference of 0.24%), kindergarten (98.6% compared to 98.4%, a difference of 0.24%), and 1st grade (98.6% compared to 98.3%, a difference of 0.24%).

When considering disability, the most significant differences between Lithuanian and Immigrants from Northern Europe communities in the United States are seen in disability age under 5 (1.6% compared to 1.3%, a difference of 17.9%), disability age 5 to 17 (5.8% compared to 5.3%, a difference of 8.3%), and disability age 35 to 64 (10.8% compared to 10.1%, a difference of 7.0%). Conversely, both communities are more comparable in terms of disability age over 75 (45.1% compared to 45.2%, a difference of 0.25%), cognitive disability (16.3% compared to 16.3%, a difference of 0.47%), and vision disability (2.0% compared to 2.0%, a difference of 0.83%).