Lithuanian vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 53,741,080 people shows a significant positive correlation between the proportion of Crow within Lithuanian communities in the United States with a correlation coefficient (R) of 0.680. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.643% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 642.8 Crow.

When considering income, the most significant differences between Lithuanian and Crow communities in the United States are seen in per capita income ($49,448 compared to $31,729, a difference of 55.8%), householder income ages 45 - 64 years ($112,484 compared to $74,257, a difference of 51.5%), and wage/income gap (28.7% compared to 19.1%, a difference of 50.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,552 compared to $47,012, a difference of 13.9%), median female earnings ($42,108 compared to $35,266, a difference of 19.4%), and median earnings ($50,991 compared to $38,707, a difference of 31.7%).

When considering poverty, the most significant differences between Lithuanian and Crow communities in the United States are seen in married-couple family poverty (4.0% compared to 9.6%, a difference of 141.5%), family poverty (7.2% compared to 16.1%, a difference of 124.2%), and child poverty under the age of 5 (15.2% compared to 31.0%, a difference of 104.1%). Conversely, both communities are more comparable in terms of receiving food stamps (9.7% compared to 13.4%, a difference of 38.9%), single mother poverty (27.4% compared to 38.6%, a difference of 41.0%), and seniors poverty over the age of 75 (10.6% compared to 15.9%, a difference of 50.6%).

When considering unemployment, the most significant differences between Lithuanian and Crow communities in the United States are seen in unemployment among ages 35 to 44 years (4.4% compared to 15.7%, a difference of 255.8%), unemployment among seniors over 65 years (5.1% compared to 16.9%, a difference of 228.4%), and unemployment among ages 65 to 74 years (5.4% compared to 17.4%, a difference of 222.4%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.4% compared to 9.2%, a difference of 2.1%), unemployment among ages 60 to 64 years (4.8% compared to 5.0%, a difference of 3.9%), and unemployment among ages 55 to 59 years (4.7% compared to 5.9%, a difference of 24.5%).

When considering labor participation, the most significant differences between Lithuanian and Crow communities in the United States are seen in in labor force | age 30-34 (85.6% compared to 75.9%, a difference of 12.8%), in labor force | age 35-44 (85.2% compared to 76.5%, a difference of 11.4%), and in labor force | age 20-64 (80.2% compared to 73.3%, a difference of 9.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 76.9%, a difference of 0.090%), in labor force | age 16-19 (40.4% compared to 38.5%, a difference of 5.0%), and in labor force | age > 16 (64.8% compared to 60.8%, a difference of 6.7%).

When considering family structure, the most significant differences between Lithuanian and Crow communities in the United States are seen in single father households (2.1% compared to 3.5%, a difference of 66.5%), single mother households (5.4% compared to 7.4%, a difference of 37.1%), and births to unmarried women (29.6% compared to 40.4%, a difference of 36.6%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 65.3%, a difference of 1.9%), family households with children (26.6% compared to 27.4%, a difference of 2.9%), and married-couple households (48.9% compared to 41.4%, a difference of 18.2%).

When considering vehicle availability, the most significant differences between Lithuanian and Crow communities in the United States are seen in no vehicles in household (8.4% compared to 11.0%, a difference of 30.9%), 4 or more vehicles in household (6.3% compared to 7.8%, a difference of 23.0%), and 3 or more vehicles in household (20.1% compared to 22.5%, a difference of 11.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 89.3%, a difference of 2.7%), 2 or more vehicles in household (58.2% compared to 55.7%, a difference of 4.5%), and 3 or more vehicles in household (20.1% compared to 22.5%, a difference of 11.7%).

When considering education level, the most significant differences between Lithuanian and Crow communities in the United States are seen in professional degree (5.4% compared to 3.2%, a difference of 70.4%), master's degree (17.7% compared to 10.6%, a difference of 66.9%), and doctorate degree (2.3% compared to 1.5%, a difference of 52.8%). Conversely, both communities are more comparable in terms of 9th grade (96.6% compared to 96.1%, a difference of 0.56%), nursery school (98.6% compared to 99.7%, a difference of 1.0%), and kindergarten (98.6% compared to 99.7%, a difference of 1.1%).

When considering disability, the most significant differences between Lithuanian and Crow communities in the United States are seen in disability age 35 to 64 (10.8% compared to 14.6%, a difference of 35.3%), disability age 65 to 74 (21.4% compared to 27.9%, a difference of 30.6%), and disability age under 5 (1.6% compared to 1.2%, a difference of 26.0%). Conversely, both communities are more comparable in terms of female disability (12.2% compared to 12.7%, a difference of 4.3%), cognitive disability (16.3% compared to 17.3%, a difference of 6.6%), and self-care disability (2.4% compared to 2.5%, a difference of 7.0%).