Immigrants from Ukraine vs Immigrants from Lithuania Community Comparison

The statistical analysis conducted on geographies consisting of 103,321,332 people shows a substantial positive correlation between the proportion of Immigrants from Lithuania within Immigrant from Ukraine communities in the United States with a correlation coefficient (R) of 0.544. On average, for every 1% (one percent) increase in Immigrants from Ukraine within a typical geography, there is an increase of 0.007% in Immigrants from Lithuania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Ukraine corresponds to an increase of 7.0 Immigrants from Lithuania.

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

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

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

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

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

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

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

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