Immigrants from Asia vs Immigrants from Ukraine Community Comparison

The statistical analysis conducted on geographies consisting of 288,083,434 people shows no correlation between the proportion of Immigrants from Ukraine within Immigrant from Asia communities in the United States with a correlation coefficient (R) of 0.032. On average, for every 1% (one percent) increase in Immigrants from Asia within a typical geography, there is an increase of 0.000% in Immigrants from Ukraine. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Asia corresponds to an increase of 0.5 Immigrants from Ukraine.

When considering income, the most significant differences between Immigrants from Asia and Immigrants from Ukraine communities in the United States are seen in householder income over 65 years ($67,594 compared to $61,163, a difference of 10.5%), median household income ($99,933 compared to $91,124, a difference of 9.7%), and householder income ages 45 - 64 years ($116,566 compared to $107,079, a difference of 8.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($56,379 compared to $55,447, a difference of 1.7%), median female earnings ($44,198 compared to $43,069, a difference of 2.6%), and per capita income ($49,741 compared to $48,134, a difference of 3.3%).

When considering poverty, the most significant differences between Immigrants from Asia and Immigrants from Ukraine communities in the United States are seen in receiving food stamps (9.9% compared to 11.8%, a difference of 18.9%), seniors poverty over the age of 75 (12.2% compared to 13.6%, a difference of 11.4%), and seniors poverty over the age of 65 (10.6% compared to 11.6%, a difference of 9.8%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (18.6% compared to 18.4%, a difference of 0.81%), single male poverty (11.4% compared to 11.9%, a difference of 4.2%), and single father poverty (14.7% compared to 15.4%, a difference of 4.4%).

When considering unemployment, the most significant differences between Immigrants from Asia and Immigrants from Ukraine communities in the United States are seen in unemployment among ages 16 to 19 years (17.0% compared to 18.5%, a difference of 8.6%), unemployment among ages 35 to 44 years (4.4% compared to 4.8%, a difference of 8.2%), and male unemployment (5.1% compared to 5.5%, a difference of 6.6%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.44%), unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.49%), and unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 0.56%).

When considering labor participation, the most significant differences between Immigrants from Asia and Immigrants from Ukraine communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 34.8%, a difference of 2.1%), in labor force | age > 16 (66.1% compared to 65.1%, a difference of 1.5%), and in labor force | age 20-24 (73.6% compared to 74.2%, a difference of 0.89%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.5% compared to 84.6%, a difference of 0.010%), in labor force | age 30-34 (85.0% compared to 84.8%, a difference of 0.17%), and in labor force | age 25-29 (84.8% compared to 84.5%, a difference of 0.26%).

When considering family structure, the most significant differences between Immigrants from Asia and Immigrants from Ukraine communities in the United States are seen in divorced or separated (10.7% compared to 11.6%, a difference of 8.1%), family households with children (28.8% compared to 27.2%, a difference of 6.1%), and married-couple households (49.1% compared to 47.3%, a difference of 3.8%). Conversely, both communities are more comparable in terms of currently married (48.3% compared to 47.9%, a difference of 0.86%), births to unmarried women (26.8% compared to 27.2%, a difference of 1.7%), and average family size (3.27 compared to 3.19, a difference of 2.4%).

When considering vehicle availability, the most significant differences between Immigrants from Asia and Immigrants from Ukraine communities in the United States are seen in no vehicles in household (10.9% compared to 14.9%, a difference of 36.7%), 4 or more vehicles in household (6.8% compared to 5.6%, a difference of 21.8%), and 3 or more vehicles in household (20.2% compared to 17.5%, a difference of 15.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 85.2%, a difference of 4.7%), 2 or more vehicles in household (56.3% compared to 50.9%, a difference of 10.7%), and 3 or more vehicles in household (20.2% compared to 17.5%, a difference of 15.8%).

When considering education level, the most significant differences between Immigrants from Asia and Immigrants from Ukraine communities in the United States are seen in doctorate degree (2.4% compared to 2.0%, a difference of 21.9%), no schooling completed (2.4% compared to 2.2%, a difference of 11.8%), and professional degree (5.5% compared to 5.0%, a difference of 9.2%). Conversely, both communities are more comparable in terms of ged/equivalency (86.6% compared to 86.7%, a difference of 0.070%), nursery school (97.6% compared to 97.9%, a difference of 0.27%), and kindergarten (97.6% compared to 97.8%, a difference of 0.27%).

When considering disability, the most significant differences between Immigrants from Asia and Immigrants from Ukraine communities in the United States are seen in ambulatory disability (5.5% compared to 6.2%, a difference of 14.0%), self-care disability (2.4% compared to 2.7%, a difference of 13.4%), and female disability (11.0% compared to 12.1%, a difference of 10.1%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.6%, a difference of 0.95%), disability age over 75 (47.0% compared to 47.7%, a difference of 1.3%), and disability age under 5 (1.1% compared to 1.0%, a difference of 2.7%).