Immigrants from Lithuania vs Immigrants from Ukraine Community Comparison

The statistical analysis conducted on geographies consisting of 103,398,908 people shows a moderate negative correlation between the proportion of Immigrants from Ukraine within Immigrant from Lithuania communities in the United States with a correlation coefficient (R) of -0.409. On average, for every 1% (one percent) increase in Immigrants from Lithuania within a typical geography, there is a decrease of 0.145% in Immigrants from Ukraine. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Lithuania corresponds to a decrease of 145.5 Immigrants from Ukraine.

When considering income, the most significant differences between Immigrants from Lithuania and Immigrants from Ukraine communities in the United States are seen in wage/income gap (28.6% compared to 25.5%, a difference of 12.1%), householder income over 65 years ($66,087 compared to $61,163, a difference of 8.1%), and median family income ($118,053 compared to $109,645, a difference of 7.7%). Conversely, both communities are more comparable in terms of median female earnings ($43,317 compared to $43,069, a difference of 0.58%), householder income under 25 years ($55,028 compared to $55,447, a difference of 0.76%), and median earnings ($52,769 compared to $50,984, a difference of 3.5%).

When considering poverty, the most significant differences between Immigrants from Lithuania and Immigrants from Ukraine communities in the United States are seen in receiving food stamps (9.2% compared to 11.8%, a difference of 27.3%), seniors poverty over the age of 75 (11.0% compared to 13.6%, a difference of 23.9%), and married-couple family poverty (4.3% compared to 5.2%, a difference of 21.5%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.4%, a difference of 0.56%), single male poverty (11.6% compared to 11.9%, a difference of 2.2%), and female poverty among 18-24 year olds (17.4% compared to 18.4%, a difference of 5.7%).

When considering unemployment, the most significant differences between Immigrants from Lithuania and Immigrants from Ukraine communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.8%, a difference of 10.2%), unemployment among ages 25 to 29 years (6.2% compared to 6.7%, a difference of 9.2%), and unemployment among ages 16 to 19 years (17.0% compared to 18.5%, a difference of 8.9%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.6% compared to 4.5%, a difference of 0.19%), unemployment among women with children ages 6 to 17 years (8.6% compared to 8.6%, a difference of 0.54%), and unemployment among ages 65 to 74 years (5.2% compared to 5.3%, a difference of 1.0%).

When considering labor participation, the most significant differences between Immigrants from Lithuania and Immigrants from Ukraine communities in the United States are seen in in labor force | age 16-19 (37.2% compared to 34.8%, a difference of 6.9%), in labor force | age 20-24 (76.1% compared to 74.2%, a difference of 2.5%), and in labor force | age 25-29 (86.1% compared to 84.5%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.6% compared to 65.1%, a difference of 0.70%), in labor force | age 30-34 (85.6% compared to 84.8%, a difference of 0.94%), and in labor force | age 35-44 (85.4% compared to 84.6%, a difference of 0.95%).

When considering family structure, the most significant differences between Immigrants from Lithuania and Immigrants from Ukraine communities in the United States are seen in single mother households (5.3% compared to 5.8%, a difference of 9.8%), single father households (1.9% compared to 2.0%, a difference of 6.9%), and married-couple households (48.6% compared to 47.3%, a difference of 2.8%). Conversely, both communities are more comparable in terms of family households (63.9% compared to 64.2%, a difference of 0.51%), average family size (3.15 compared to 3.19, a difference of 1.2%), and family households with children (26.8% compared to 27.2%, a difference of 1.5%).

When considering vehicle availability, the most significant differences between Immigrants from Lithuania and Immigrants from Ukraine communities in the United States are seen in no vehicles in household (9.8% compared to 14.9%, a difference of 51.2%), 2 or more vehicles in household (55.8% compared to 50.9%, a difference of 9.7%), and 1 or more vehicles in household (90.2% compared to 85.2%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (5.6% compared to 5.6%, a difference of 1.4%), 3 or more vehicles in household (18.5% compared to 17.5%, a difference of 5.6%), and 1 or more vehicles in household (90.2% compared to 85.2%, a difference of 5.9%).

When considering education level, the most significant differences between Immigrants from Lithuania and Immigrants from Ukraine communities in the United States are seen in no schooling completed (1.7% compared to 2.2%, a difference of 28.1%), doctorate degree (2.2% compared to 2.0%, a difference of 11.0%), and professional degree (5.6% compared to 5.0%, a difference of 10.5%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 97.9%, a difference of 0.48%), kindergarten (98.3% compared to 97.8%, a difference of 0.48%), and 1st grade (98.3% compared to 97.8%, a difference of 0.48%).

When considering disability, the most significant differences between Immigrants from Lithuania and Immigrants from Ukraine communities in the United States are seen in disability age under 5 (1.3% compared to 1.0%, a difference of 22.6%), self-care disability (2.3% compared to 2.7%, a difference of 18.3%), and ambulatory disability (5.6% compared to 6.2%, a difference of 10.8%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.1% compared to 5.1%, a difference of 0.32%), hearing disability (2.9% compared to 3.0%, a difference of 1.8%), and male disability (10.5% compared to 10.9%, a difference of 3.9%).