Crow vs Immigrants from Lithuania Community Comparison

The statistical analysis conducted on geographies consisting of 36,146,881 people shows a near-perfect positive correlation between the proportion of Immigrants from Lithuania within Crow communities in the United States with a correlation coefficient (R) of 0.936. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 0.459% in Immigrants from Lithuania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 459.4 Immigrants from Lithuania.

When considering income, the most significant differences between Crow and Immigrants from Lithuania communities in the United States are seen in per capita income ($31,729 compared to $51,361, a difference of 61.9%), median family income ($76,605 compared to $118,053, a difference of 54.1%), and householder income ages 45 - 64 years ($74,257 compared to $114,336, a difference of 54.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $55,028, a difference of 17.1%), median female earnings ($35,266 compared to $43,317, a difference of 22.8%), and householder income over 65 years ($49,234 compared to $66,087, a difference of 34.2%).

When considering poverty, the most significant differences between Crow and Immigrants from Lithuania communities in the United States are seen in family poverty (16.1% compared to 7.2%, a difference of 123.1%), married-couple family poverty (9.6% compared to 4.3%, a difference of 121.3%), and child poverty under the age of 5 (31.0% compared to 14.1%, a difference of 120.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (15.9% compared to 11.0%, a difference of 45.2%), receiving food stamps (13.4% compared to 9.2%, a difference of 45.2%), and single mother poverty (38.6% compared to 25.2%, a difference of 53.2%).

When considering unemployment, the most significant differences between Crow and Immigrants from Lithuania communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.4%, a difference of 256.3%), unemployment among seniors over 65 years (16.9% compared to 5.0%, a difference of 235.5%), and unemployment among ages 65 to 74 years (17.4% compared to 5.2%, a difference of 233.1%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.8%, a difference of 3.7%), unemployment among women with children ages 6 to 17 years (9.2% compared to 8.6%, a difference of 8.0%), and unemployment among ages 55 to 59 years (5.9% compared to 4.8%, a difference of 23.0%).

When considering labor participation, the most significant differences between Crow and Immigrants from Lithuania communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 85.6%, a difference of 12.8%), in labor force | age 35-44 (76.5% compared to 85.4%, a difference of 11.6%), and in labor force | age 20-64 (73.3% compared to 80.7%, a difference of 10.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 76.1%, a difference of 1.0%), in labor force | age 16-19 (38.5% compared to 37.2%, a difference of 3.4%), and in labor force | age 45-54 (78.3% compared to 83.9%, a difference of 7.1%).

When considering family structure, the most significant differences between Crow and Immigrants from Lithuania communities in the United States are seen in single father households (3.5% compared to 1.9%, a difference of 86.4%), births to unmarried women (40.4% compared to 27.7%, a difference of 45.5%), and single mother households (7.4% compared to 5.3%, a difference of 41.8%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 26.8%, a difference of 2.1%), family households (65.3% compared to 63.9%, a difference of 2.2%), and married-couple households (41.4% compared to 48.6%, a difference of 17.5%).

When considering vehicle availability, the most significant differences between Crow and Immigrants from Lithuania communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 5.6%, a difference of 38.0%), 3 or more vehicles in household (22.5% compared to 18.5%, a difference of 21.7%), and no vehicles in household (11.0% compared to 9.8%, a difference of 12.4%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (55.7% compared to 55.8%, a difference of 0.15%), 1 or more vehicles in household (89.3% compared to 90.2%, a difference of 1.1%), and no vehicles in household (11.0% compared to 9.8%, a difference of 12.4%).

When considering education level, the most significant differences between Crow and Immigrants from Lithuania communities in the United States are seen in professional degree (3.2% compared to 5.6%, a difference of 76.5%), master's degree (10.6% compared to 18.5%, a difference of 73.9%), and bachelor's degree (27.7% compared to 44.6%, a difference of 60.8%). Conversely, both communities are more comparable in terms of 9th grade (96.1% compared to 95.8%, a difference of 0.25%), 10th grade (94.7% compared to 95.0%, a difference of 0.35%), and nursery school (99.7% compared to 98.3%, a difference of 1.3%).

When considering disability, the most significant differences between Crow and Immigrants from Lithuania communities in the United States are seen in disability age 35 to 64 (14.6% compared to 9.6%, a difference of 52.4%), disability age 18 to 34 (8.3% compared to 5.8%, a difference of 42.8%), and hearing disability (4.2% compared to 2.9%, a difference of 42.4%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.3%, a difference of 2.3%), disability age 5 to 17 (5.4% compared to 5.1%, a difference of 5.6%), and cognitive disability (17.3% compared to 16.0%, a difference of 8.6%).