Immigrants from Yemen vs Immigrants from Lithuania Community Comparison

The statistical analysis conducted on geographies consisting of 48,174,366 people shows a substantial positive correlation between the proportion of Immigrants from Lithuania within Immigrant from Yemen communities in the United States with a correlation coefficient (R) of 0.562. On average, for every 1% (one percent) increase in Immigrants from Yemen within a typical geography, there is an increase of 0.153% in Immigrants from Lithuania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Yemen corresponds to an increase of 152.6 Immigrants from Lithuania.

When considering income, the most significant differences between Immigrants from Yemen and Immigrants from Lithuania communities in the United States are seen in householder income ages 45 - 64 years ($74,575 compared to $114,336, a difference of 53.3%), per capita income ($33,696 compared to $51,361, a difference of 52.4%), and median family income ($77,457 compared to $118,053, a difference of 52.4%). Conversely, both communities are more comparable in terms of median female earnings ($34,693 compared to $43,317, a difference of 24.9%), householder income under 25 years ($43,591 compared to $55,028, a difference of 26.2%), and median earnings ($39,540 compared to $52,769, a difference of 33.5%).

When considering poverty, the most significant differences between Immigrants from Yemen and Immigrants from Lithuania communities in the United States are seen in married-couple family poverty (12.8% compared to 4.3%, a difference of 196.4%), family poverty (17.5% compared to 7.2%, a difference of 141.9%), and receiving food stamps (21.6% compared to 9.2%, a difference of 134.1%). Conversely, both communities are more comparable in terms of single father poverty (20.6% compared to 15.3%, a difference of 34.5%), single male poverty (16.9% compared to 11.6%, a difference of 45.3%), and seniors poverty over the age of 75 (16.5% compared to 11.0%, a difference of 50.2%).

When considering unemployment, the most significant differences between Immigrants from Yemen and Immigrants from Lithuania communities in the United States are seen in unemployment among seniors over 75 years (16.5% compared to 8.7%, a difference of 89.2%), unemployment among women with children under 6 years (13.5% compared to 7.5%, a difference of 78.8%), and unemployment among seniors over 65 years (8.2% compared to 5.0%, a difference of 63.1%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (20.0% compared to 17.0%, a difference of 18.1%), unemployment among ages 25 to 29 years (8.0% compared to 6.2%, a difference of 29.4%), and unemployment among youth under 25 years (15.6% compared to 11.3%, a difference of 37.9%).

When considering labor participation, the most significant differences between Immigrants from Yemen and Immigrants from Lithuania communities in the United States are seen in in labor force | age 16-19 (31.5% compared to 37.2%, a difference of 18.1%), in labor force | age 45-54 (74.4% compared to 83.9%, a difference of 12.7%), and in labor force | age 35-44 (76.3% compared to 85.4%, a difference of 11.9%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (78.2% compared to 85.6%, a difference of 9.6%), in labor force | age > 16 (59.6% compared to 65.6%, a difference of 10.0%), and in labor force | age 25-29 (78.2% compared to 86.1%, a difference of 10.1%).

When considering family structure, the most significant differences between Immigrants from Yemen and Immigrants from Lithuania communities in the United States are seen in single mother households (7.4% compared to 5.3%, a difference of 40.9%), currently married (42.1% compared to 48.8%, a difference of 16.2%), and married-couple households (42.0% compared to 48.6%, a difference of 15.7%). Conversely, both communities are more comparable in terms of divorced or separated (11.3% compared to 11.3%, a difference of 0.12%), family households (63.0% compared to 63.9%, a difference of 1.4%), and family households with children (29.4% compared to 26.8%, a difference of 9.9%).

When considering vehicle availability, the most significant differences between Immigrants from Yemen and Immigrants from Lithuania communities in the United States are seen in no vehicles in household (19.5% compared to 9.8%, a difference of 98.3%), 2 or more vehicles in household (42.8% compared to 55.8%, a difference of 30.3%), and 3 or more vehicles in household (14.2% compared to 18.5%, a difference of 29.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (80.5% compared to 90.2%, a difference of 12.1%), 4 or more vehicles in household (4.5% compared to 5.6%, a difference of 26.6%), and 3 or more vehicles in household (14.2% compared to 18.5%, a difference of 29.6%).

When considering education level, the most significant differences between Immigrants from Yemen and Immigrants from Lithuania communities in the United States are seen in no schooling completed (4.1% compared to 1.7%, a difference of 144.2%), professional degree (3.4% compared to 5.6%, a difference of 63.6%), and master's degree (11.6% compared to 18.5%, a difference of 60.0%). Conversely, both communities are more comparable in terms of nursery school (95.9% compared to 98.3%, a difference of 2.6%), kindergarten (95.9% compared to 98.3%, a difference of 2.6%), and 1st grade (95.8% compared to 98.3%, a difference of 2.6%).

When considering disability, the most significant differences between Immigrants from Yemen and Immigrants from Lithuania communities in the United States are seen in disability age 35 to 64 (14.0% compared to 9.6%, a difference of 46.4%), disability age under 5 (0.91% compared to 1.3%, a difference of 39.7%), and vision disability (2.6% compared to 1.9%, a difference of 36.3%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.9%, a difference of 3.9%), disability age 5 to 17 (5.3% compared to 5.1%, a difference of 4.2%), and male disability (12.0% compared to 10.5%, a difference of 14.4%).